xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

230ce7a68295d2b27c184cb0a65f1211483d5f83

41

py

Python

vk_dumper/__init__.py

saber-nyan/vk_telegram_utils

79fc116ea27a993201e03a8d84b18510eca63a45

[ "WTFPL" ]

2

2020-03-19T14:22:50.000Z

2020-04-02T21:45:50.000Z

vk_dumper/__init__.py

saber-nyan/vk_telegram_utils

79fc116ea27a993201e03a8d84b18510eca63a45

[ "WTFPL" ]

2

2021-03-31T19:43:15.000Z

2021-12-13T20:36:31.000Z

vk_dumper/__init__.py

saber-nyan/vk_telegram_utils

79fc116ea27a993201e03a8d84b18510eca63a45

[ "WTFPL" ]

null

""" Utility for dumping VK messages. """

10.25

32

0.658537

5

41

5.4

1

0

0.170732

41

3

33

13.666667

0.794118

0.780488

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

232bb3c4b985e8e2c3ab7b848bf302b3144b98fd

1,898

py

Python

tests/test_tekpower.py

mgeiger/tekpower

26e06c70c8cbce4125bc7d53144a92f3cd55450b

[ "MIT" ]

1

2018-04-21T02:58:02.000Z

tests/test_tekpower.py

mgeiger/tekpower

26e06c70c8cbce4125bc7d53144a92f3cd55450b

[ "MIT" ]

291

2018-04-26T00:03:53.000Z

2022-03-14T10:17:04.000Z

tests/test_tekpower.py

mgeiger/tekpower

26e06c70c8cbce4125bc7d53144a92f3cd55450b

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """Tests for `tekpower` package.""" import pytest from tekpower import tekpower @pytest.fixture(scope='module') def blank_tp3005p(): tp = tekpower.TP3005P(None) yield tp @pytest.mark.usefixtures('blank_tp3005p') def test_tp3005p_init(blank_tp3005p): assert not blank_tp3005p.on, "Initialized TP3005P to On state." @pytest.mark.usefixtures('blank_tp3005p') def test_tp3005p_identify(blank_tp3005p): with pytest.raises(AttributeError): identify = blank_tp3005p.identify() @pytest.mark.usefixtures('blank_tp3005p') def test_tp3005p_status(blank_tp3005p): with pytest.raises(AttributeError): status = blank_tp3005p.status() @pytest.mark.usefixtures('blank_tp3005p') def test_tp3005p_output(blank_tp3005p): assert not blank_tp3005p.output(state=False), \ "State should not have been set." with pytest.raises(AttributeError): blank_tp3005p.output(state=True) @pytest.mark.usefixtures('blank_tp3005p') def test_tp3005p_current(blank_tp3005p): with pytest.raises(AttributeError): current = blank_tp3005p.current() @pytest.mark.usefixtures('blank_tp3005p') def test_tp3005p_voltage(blank_tp3005p): with pytest.raises(AttributeError): voltage = blank_tp3005p.voltage() @pytest.mark.usefixtures('blank_tp3005p') def test_tp3005p_current_setpoint(blank_tp3005p): with pytest.raises(AttributeError): current_setpoint = blank_tp3005p.current_setpoint() with pytest.raises(AttributeError): current_setpoint = blank_tp3005p.current_setpoint(1.0) @pytest.mark.usefixtures('blank_tp3005p') def test_tp3005p_voltage_setpoint(blank_tp3005p): with pytest.raises(AttributeError): voltage_setpoint = blank_tp3005p.voltage_setpoint() with pytest.raises(AttributeError): voltage_setpoint = blank_tp3005p.voltage_setpoint(1.0)

28.757576

67

0.754478

228

1,898

6.04386

0.219298

0.243832

0.104499

0.195936

0.711176

0.602322

0.502177

0.365747

0.208999

0

0.095907

0.137513

1,898

66

68

28.757576

0.745877

0.037935

0

0.395349

0

0.095055

0

0.046512

1

0.209302

false

0

0.046512

0

0.255814

0

null

1

0

1

0

1

0

null

0

1

0

4

23378451e7b7d74616257e9760ca9297352e9bd6

233

py

Python

pokemon/admin.py

pessman/pokemon_utils

cbe06ebe323cb38a35846274d812bdbe8d0ae8ca

[ "MIT" ]

1

2019-03-11T04:12:50.000Z

pokemon/admin.py

pessman/pokemon_utils

cbe06ebe323cb38a35846274d812bdbe8d0ae8ca

[ "MIT" ]

null

pokemon/admin.py

pessman/pokemon_utils

cbe06ebe323cb38a35846274d812bdbe8d0ae8ca

[ "MIT" ]

2

2019-03-13T03:17:29.000Z

2019-04-04T20:06:50.000Z

from django.contrib import admin from pokemon.models import Ability, Item, Move, Pokemon, Type admin.site.register(Ability) admin.site.register(Item) admin.site.register(Move) admin.site.register(Pokemon) admin.site.register(Type)

23.3

61

0.806867

34

233

5.529412

0.382353

0.239362

0.452128

0

0.081545

233

9

62

25.888889

0.878505

0

1

0

true

0

0.285714

0

0.285714

0

null

1

0

1

0

null

0

1

0

4

237d56662df38a8104b0d4ec87e91612b84f9058

245

py

Python

2015/12/part1.py

timofurrer/aoc-2020

446b688a57601d9891f520e43b7f822c373a6ff4

[ "MIT" ]

null

2015/12/part1.py

timofurrer/aoc-2020

446b688a57601d9891f520e43b7f822c373a6ff4

[ "MIT" ]

null

2015/12/part1.py

timofurrer/aoc-2020

446b688a57601d9891f520e43b7f822c373a6ff4

[ "MIT" ]

null

from pathlib import Path with (Path(__file__).parent / "input.txt").open() as puzzle_input_file: puzzle_input_raw = puzzle_input_file.read() import re numbers = re.findall(r"[-+]?\d+", puzzle_input_raw) print(sum(int(x) for x in numbers))

27.222222

71

0.726531

40

245

4.15

0.625

0.26506

0.180723

0

0.122449

245

9

72

27.222222

0.772093

0

0.069106

0

1

0

false

0

0.333333

0

0.333333

0.166667

0

null

1

0

1

0

null

0

1

0

4

88c3c0ab0f8fd8ee94c8b6822cd9fbd7a1ece7f6

177

py

Python

bookstore/apps/coupons/apps.py

jgmartinss/bookstore

e629d5b58ed8f59f7b33b7a76da97a014f196f72

[ "MIT" ]

null

bookstore/apps/coupons/apps.py

jgmartinss/bookstore

e629d5b58ed8f59f7b33b7a76da97a014f196f72

[ "MIT" ]

17

2019-01-04T00:36:31.000Z

2019-01-24T14:01:08.000Z

bookstore/apps/coupons/apps.py

jgmartinss/bookstore

e629d5b58ed8f59f7b33b7a76da97a014f196f72

[ "MIT" ]

null

from django.apps import AppConfig from django.utils.translation import gettext_lazy as _ class CouponsConfig(AppConfig): name = "coupons" verbose_name = _("Coupons")

19.666667

54

0.757062

21

177

6.190476

0.714286

0.153846

0

0.163842

177

8

55

22.125

0.878378

0

0.079096

0

1

0

false

0

0.4

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

88d14956cb2ef0ca8699fe11ca62f3ac8c6fbfa3

164

py

Python

logs/admin.py

khabdrick/Workout-progress-tracker

0e870d37d42e38873a4391fef2e187978ecfc9a2

[ "MIT" ]

3

2021-03-07T22:35:10.000Z

2021-12-06T14:43:18.000Z

logs/admin.py

khabdrick/Workout-progress-tracker

0e870d37d42e38873a4391fef2e187978ecfc9a2

[ "MIT" ]

4

2021-03-07T17:48:16.000Z

2021-03-09T19:00:34.000Z

logs/admin.py

khabdrick/Workout-progress-tracker

0e870d37d42e38873a4391fef2e187978ecfc9a2

[ "MIT" ]

1

2021-03-07T00:24:56.000Z

from django.contrib import admin from .models import WorkoutLog # class LogAdmin(admin.ModelAdmin): # form = WorkoutLogForm admin.site.register(WorkoutLog)

16.4

35

0.77439

19

164

6.684211

0.736842

0

0.146341

164

9

36

18.222222

0.907143

0.359756

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

0021adc61f80ce0afcb0853e68cabb348c235ff2

163

py

Python

src/haroslaunch/__main__.py

git-afsantos/haroslaunch

5c5826683a6979c2249da0969a85b8739c238914

[ "MIT" ]

null

src/haroslaunch/__main__.py

git-afsantos/haroslaunch

5c5826683a6979c2249da0969a85b8739c238914

[ "MIT" ]

null

src/haroslaunch/__main__.py

git-afsantos/haroslaunch

5c5826683a6979c2249da0969a85b8739c238914

[ "MIT" ]

null

14.818182

31

0.680982

25

163

4.48

0.84

0

0.036496

0.159509

163

10

32

16.3

0.773723

0.619632

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

null

0

1

0

1

0

1

0

4

0036d8def17f030985ada8c9e9875a330a33479b

16,231

py

Python

arim/_scat_crack.py

will-jj/arim

fc15efe171a41355090123fcea10406ee75efe31

[ "MIT" ]

14

2019-04-05T13:43:36.000Z

2022-02-01T21:38:19.000Z

arim/_scat_crack.py

will-jj/arim

fc15efe171a41355090123fcea10406ee75efe31

[ "MIT" ]

2

2019-04-09T10:38:26.000Z

2019-06-17T16:23:16.000Z

arim/_scat_crack.py

will-jj/arim

fc15efe171a41355090123fcea10406ee75efe31

[ "MIT" ]

5

2019-04-04T17:02:20.000Z

2020-09-30T15:36:03.000Z

"""Nuts and bolts of arim.scat.crack_2d_scat""" import numpy as np import numba import scipy.integrate as si from numpy.core.umath import sin, cos, pi, exp, sqrt import ctypes import scipy @numba.njit(cache=True) def basis_function(k): k_00 = 1e-1 if abs(k) <= k_00: return 1 - 1 / 18 * k ** 2 + 1 / 792 * k ** 4 else: return 105.0 / k ** 7 * (k * (k * k - 15) * cos(k) - (6 * k * k - 15) * sin(k)) @numba.njit(cache=True) def sigma(k, k0): return sqrt(np.complex(k * k - k0 * k0)).conjugate() @numba.njit(cache=True) def F(xi, xi2, h, beta): # input: float, returns a complex k = xi2 * h * beta F = basis_function(k) sigma_1 = sigma(beta, xi) sigma_2 = sigma(beta, 1) L2 = -((beta ** 2 - 0.5) ** 2) + beta ** 2 * sigma_1 * sigma_2 return F ** 2 * L2 @numba.njit(cache=True) def P(k): # input: float, returns a complex k_00 = 1e-1 if abs(k) <= k_00: F = 1 + 1j * k - 5 / 9 * k ** 2 - 2j / 9 * k ** 3 else: sk = (exp(2j * k) - 1) / 2j ck = (exp(2j * k) + 1) / 2 F = 105 / k ** 7 * (k * (k ** 2 - 15) * ck - (6 * k ** 2 - 15) * sk) return F ** 2 @numba.njit(cache=True) def A_x_F1(x, xi, xi2, h_nodes, z): return F(xi, xi2, h_nodes, 1 - x ** 2) / sqrt(2 - x ** 2) * cos((1 - x ** 2) * z) @numba.cfunc("f8(f8, voidptr)", cache=True) def A_x_F1_real(x, data): xi, xi2, h_nodes, z = numba.carray(data, 4, dtype=numba.float64) return A_x_F1(x, xi, xi2, h_nodes, z).real @numba.cfunc("f8(f8, voidptr)", cache=True) def A_x_F1_imag(x, data): xi, xi2, h_nodes, z = numba.carray(data, 4, dtype=numba.float64) return A_x_F1(x, xi, xi2, h_nodes, z).imag @numba.njit(cache=True) def A_x_F2(x, xi, xi2, h_nodes, z): return F(xi, xi2, h_nodes, 1 + x ** 2) / sqrt(2 + x ** 2) * cos((1 + x ** 2) * z) @numba.cfunc("f8(f8, voidptr)", cache=True) def A_x_F2_real(x, data): xi, xi2, h_nodes, z = numba.carray(data, 4, dtype=numba.float64) return A_x_F2(x, xi, xi2, h_nodes, z).real @numba.cfunc("f8(f8, voidptr)", cache=True) def A_x_F2_imag(x, data): xi, xi2, h_nodes, z = numba.carray(data, 4, dtype=numba.float64) return A_x_F2(x, xi, xi2, h_nodes, z).imag @numba.njit(cache=True) def A_x_F(x, xi, xi2, h_nodes, z): return ( -(((1 + 1j * x ** 2) ** 2 - 0.5) ** 2) * P(xi2 * h_nodes * (1 + 1j * x ** 2)) / sqrt(2 + 1j * x ** 2) * exp(-1j * pi / 4) * exp(1j * (z - 2 * xi2 * h_nodes)) + (xi + 1j * x ** 2) ** 2 * P(xi2 * h_nodes * (xi + 1j * x ** 2)) * sqrt(2 * xi + 1j * x ** 2) * x ** 2 * exp(1j * pi / 4) * exp(1j * xi * (z - 2 * xi2 * h_nodes)) ) * exp(-(z - 2 * xi2 * h_nodes) * x ** 2) @numba.cfunc("f8(f8, voidptr)", cache=True) def A_x_F_real(x, data): xi, xi2, h_nodes, z = numba.carray(data, 4, dtype=numba.float64) return A_x_F(x, xi, xi2, h_nodes, z).real @numba.cfunc("f8(f8, voidptr)", cache=True) def A_x_F_imag(x, data): xi, xi2, h_nodes, z = numba.carray(data, 4, dtype=numba.float64) return A_x_F(x, xi, xi2, h_nodes, z).imag def A_x(xi, xi2, h_nodes, num_nodes): # From fn_Qx_matrix # Notes: the longest in this function is the numerical integration with scipy.integrate.quad. # To speed it up, the integrand is compiled with numba. The quad function requires # a function f8(f8, voidptr) so the arguments xi, xi2, h_nodes and z, needed for the # calculation of the integrand, are packed. # integral around branch point z_1 = xi2 * h_nodes * np.arange(num_nodes) # Pack arguments for LowLevelCallable. # data is updated at every loop. The main loop is NOT thread-safe. If the main loop # becomes parallel some day, make "data" local. data = np.array([xi, xi2, h_nodes, 0.0]) data_ptr = ctypes.cast(data.ctypes, ctypes.c_void_p) quad_args = dict(limit=200) # For num_nodes = 4, I_12 looks like [a3, a2, a1, a0, a1, a2, a3] (size: 2*num_nodes-1) # Build the second half first, then copy it to the first half I_12 = np.zeros(2 * num_nodes - 1, np.complex) for i, z in enumerate(z_1): data[3] = z if i < 2: # two first iterations, coefficients a0 and a1 int_F1_real = scipy.LowLevelCallable(A_x_F1_real.ctypes, data_ptr) int_F1_imag = scipy.LowLevelCallable(A_x_F1_imag.ctypes, data_ptr) int_F2_real = scipy.LowLevelCallable(A_x_F2_real.ctypes, data_ptr) int_F2_imag = scipy.LowLevelCallable(A_x_F2_imag.ctypes, data_ptr) I_12[i + num_nodes - 1] = 4j * ( si.quad(int_F1_real, 0, 1, **quad_args)[0] + 1j * si.quad(int_F1_imag, 0, 1, **quad_args)[0] ) + 4 * ( si.quad(int_F2_real, 0, 50, **quad_args)[0] + 1j * si.quad(int_F2_imag, 0, 50, **quad_args)[0] ) else: int_F_real = scipy.LowLevelCallable(A_x_F_real.ctypes, data_ptr) int_F_imag = scipy.LowLevelCallable(A_x_F_imag.ctypes, data_ptr) I_12[i + num_nodes - 1] = 4j * ( si.quad(int_F_real, 0, 70, **quad_args)[0] + 1j * si.quad(int_F_imag, 0, 70, **quad_args)[0] ) I_12[: num_nodes - 1] = I_12[: num_nodes - 1 : -1] v_ind = np.arange(num_nodes) m_ind = ( np.full((num_nodes, num_nodes), num_nodes - 1) + v_ind[:, np.newaxis] - v_ind ) return I_12[m_ind] @numba.njit(cache=True) def A_z_F1(x, xi, xi2, h_nodes, z): return ( F(xi, xi2, h_nodes, xi - x ** 2) / sqrt(2 * xi - x ** 2) * cos((xi - x ** 2) * z) ) @numba.cfunc("f8(f8, voidptr)", cache=True) def A_z_F1_real(x, data): xi, xi2, h_nodes, z = numba.carray(data, 4, dtype=numba.float64) return A_z_F1(x, xi, xi2, h_nodes, z).real @numba.cfunc("f8(f8, voidptr)", cache=True) def A_z_F1_imag(x, data): xi, xi2, h_nodes, z = numba.carray(data, 4, dtype=numba.float64) return A_z_F1(x, xi, xi2, h_nodes, z).imag @numba.njit(cache=True) def A_z_F2(x, xi, xi2, h_nodes, z): return ( F(xi, xi2, h_nodes, xi + x ** 2) / sqrt(2 * xi + x ** 2) * cos((xi + x ** 2) * z) ) @numba.cfunc("f8(f8, voidptr)", cache=True) def A_z_F2_real(x, data): xi, xi2, h_nodes, z = numba.carray(data, 4, dtype=numba.float64) return A_z_F2(x, xi, xi2, h_nodes, z).real @numba.cfunc("f8(f8, voidptr)", cache=True) def A_z_F2_imag(x, data): xi, xi2, h_nodes, z = numba.carray(data, 4, dtype=numba.float64) return A_z_F2(x, xi, xi2, h_nodes, z).imag @numba.njit(cache=True) def A_z_F(x, xi, xi2, h_nodes, z): return ( -(((xi + 1j * x ** 2) ** 2 - 0.5) ** 2) * P(xi2 * h_nodes * (xi + 1j * x ** 2)) / sqrt(2 * xi + 1j * x ** 2) * exp(-1j * pi / 4) * exp(xi * 1j * (z - 2 * xi2 * h_nodes)) + (1 + 1j * x ** 2) ** 2 * P(xi2 * h_nodes * (1 + 1j * x ** 2)) * sqrt(2 + 1j * x ** 2) * x ** 2 * exp(1j * pi / 4) * exp(1j * (z - 2 * xi2 * h_nodes)) ) * exp(-(z - 2 * xi2 * h_nodes) * x ** 2) @numba.cfunc("f8(f8, voidptr)", cache=True) def A_z_F_real(x, data): xi, xi2, h_nodes, z = numba.carray(data, 4, dtype=numba.float64) return A_z_F(x, xi, xi2, h_nodes, z).real @numba.cfunc("f8(f8, voidptr)", cache=True) def A_z_F_imag(x, data): xi, xi2, h_nodes, z = numba.carray(data, 4, dtype=numba.float64) return A_z_F(x, xi, xi2, h_nodes, z).imag def A_z(xi, xi2, h_nodes, num_nodes): # from fn_Qz_matrix # integral around branch point z_1 = xi2 * h_nodes * np.arange(num_nodes) # Pack arguments for LowLevelCallable. # data is updated at every loop. The main loop is NOT thread-safe. If the main loop # becomes parallel some day, make "data" local. data = np.array([xi, xi2, h_nodes, 0.0]) data_ptr = ctypes.cast(data.ctypes, ctypes.c_void_p) quad_args = dict(limit=200) # For num_nodes = 4, I_12 looks like [a3, a2, a1, a0, a1, a2, a3] (size: 2*num_nodes-1) # Build the second half first, then copy it to the first half I_12 = np.zeros(2 * num_nodes - 1, np.complex) for i, z in enumerate(z_1): data[3] = z if i < 2: # two first iterations, coefficients a0 and a1 int_F1_real = scipy.LowLevelCallable(A_z_F1_real.ctypes, data_ptr) int_F1_imag = scipy.LowLevelCallable(A_z_F1_imag.ctypes, data_ptr) int_F2_real = scipy.LowLevelCallable(A_z_F2_real.ctypes, data_ptr) int_F2_imag = scipy.LowLevelCallable(A_z_F2_imag.ctypes, data_ptr) I_12[i + num_nodes - 1] = 4j * ( si.quad(int_F1_real, 0, sqrt(xi), **quad_args)[0] + 1j * si.quad(int_F1_imag, 0, sqrt(xi), **quad_args)[0] ) + 4 * ( si.quad(int_F2_real, 0, 50, **quad_args)[0] + 1j * si.quad(int_F2_imag, 0, 50, **quad_args)[0] ) else: int_F_real = scipy.LowLevelCallable(A_z_F_real.ctypes, data_ptr) int_F_imag = scipy.LowLevelCallable(A_z_F_imag.ctypes, data_ptr) I_12[i + num_nodes - 1] = 4j * ( si.quad(int_F_real, 0, 70, **quad_args)[0] + 1j * si.quad(int_F_imag, 0, 70, **quad_args)[0] ) I_12[: num_nodes - 1] = I_12[: num_nodes - 1 : -1] v_ind = np.arange(num_nodes) m_ind = ( np.full((num_nodes, num_nodes), num_nodes - 1) + v_ind[:, np.newaxis] - v_ind ) return I_12[m_ind] @numba.jit(nopython=True, nogil=True, cache=True) def crack_2d_scat_kernel( phi_in, phi_out_array, vel_L, vel_T, density, frequency, use_incident_L, use_incident_T, x_nodes, h_nodes, A_x, A_z, S_LL, S_LT, S_TL, S_TT, ): """ work on one incident angle in order to cache the results of two to four linear solve """ # Lamé coefficients, see http://subsurfwiki.org/wiki/Template:Elastic_modulus lame_lambda = density * (vel_L ** 2 - 2 * vel_T ** 2) lame_mu = density * vel_T ** 2 omega = 2 * pi * frequency xi1 = 2 * pi * frequency / vel_L xi2 = 2 * pi * frequency / vel_T lambda_L = vel_L / frequency lambda_T = vel_T / frequency xi = vel_T / vel_L k_L = xi1 # alias k_T = xi2 # alias a_L = -1j * k_L * pi / xi2 ** 2 # incident L wave a_T = -1j * k_T * pi / xi2 ** 2 # incident S wave # normal vector to the crack nv = np.array([0.0, 1.0], np.complex128) # force to complex to please numba sv = np.array( [-sin(phi_in), -cos(phi_in)], np.complex128 ) # force to complex to please numba tv = np.array([sv[1], -sv[0]], np.complex128) if use_incident_L: b_L = exp(1j * k_L * x_nodes * sv[0]) * basis_function(-k_L * h_nodes * sv[0]) b_x = -2 * sv[0] * sv[1] * b_L b_z = -(1 / xi ** 2 - 2 * sv[0] ** 2) * b_L vxL = np.linalg.solve(A_x, b_x) vzL = np.linalg.solve(A_z, b_z) if use_incident_T: b_T = exp(1j * k_T * x_nodes * sv[0]) * basis_function(-k_T * h_nodes * sv[0]) b_x = -(tv[0] * sv[1] + tv[1] * sv[0]) * b_T b_z = -2 * tv[1] * sv[1] * b_T vxT = np.linalg.solve(A_x, b_x) vzT = np.linalg.solve(A_z, b_z) for j, phi_out in enumerate(phi_out_array): ev = np.array([sin(phi_out), cos(phi_out)], np.complex128) tv = np.array([ev[1], -ev[0]], np.complex128) c_L = basis_function(xi1 * h_nodes * ev[0]) * exp(-1j * xi1 * ev[0] * x_nodes) c_T = basis_function(xi2 * h_nodes * ev[0]) * exp(-1j * xi2 * ev[0] * x_nodes) if use_incident_L: v_L = np.array([a_L * np.dot(vxL, c_L), a_L * np.dot(vzL, c_L)]) v_T = np.array([a_L * np.dot(vxL, c_T), a_L * np.dot(vzL, c_T)]) S_LL[j] = ( 1 / 4 * sqrt(2 / pi) * exp(-1j * pi / 4) * xi1 ** (5 / 2) * ( lame_lambda / (density * omega ** 2) * (np.dot(v_L, nv)) + 2 * lame_mu / (density * omega ** 2) * np.dot(v_L, ev) * np.dot(ev, nv) ) / sqrt(lambda_L) ) S_LT[j] = ( 1 / 4 * sqrt(2 / pi) * exp(-1j * pi / 4) * xi2 ** (5 / 2) * lame_mu / (density * omega ** 2) * (np.dot(v_T, tv) * np.dot(ev, nv) + np.dot(v_T, ev) * np.dot(tv, nv)) / sqrt(lambda_T) ) if use_incident_T: v_L = np.array([a_T * np.dot(vxT, c_L), a_T * np.dot(vzT, c_L)]) v_T = np.array([a_T * np.dot(vxT, c_T), a_T * np.dot(vzT, c_T)]) # This is the same expression as for LL and LT but v_L and v_T are # different. # Add a minus sign compared to the original code because change of # polarisation. S_TL[j] = -( 1 / 4 * sqrt(2 / pi) * exp(-1j * pi / 4) * xi1 ** (5 / 2) * ( lame_lambda / (density * omega ** 2) * (np.dot(v_L, nv)) + 2 * lame_mu / (density * omega ** 2) * np.dot(v_L, ev) * np.dot(ev, nv) ) / sqrt(lambda_L) ) S_TT[j] = -( 1 / 4 * sqrt(2 / pi) * exp(-1j * pi / 4) * xi2 ** (5 / 2) * lame_mu / (density * omega ** 2) * (np.dot(v_T, tv) * np.dot(ev, nv) + np.dot(v_T, ev) * np.dot(tv, nv)) / sqrt(lambda_T) ) return S_LL, S_LT, S_TL, S_TT @numba.jit(nopython=True, nogil=True, cache=True, parallel=False) def crack_2d_scat_matrix( phi_in_vect, phi_out_array, vel_L, vel_T, density, frequency, use_incident_L, use_incident_T, x_nodes, h_nodes, A_x, A_z, S_LL, S_LT, S_TL, S_TT, ): """ call the kernel in the case where there is one phi_in for many phi_out (use optimised kernel) """ # todo: set parallel=True if one day numba supports cache=True with this flag. assert phi_in_vect.ndim == 1 assert phi_out_array.ndim == 2 for i in range(phi_in_vect.shape[0]): crack_2d_scat_kernel( phi_in_vect[i], phi_out_array[:, i], vel_L, vel_T, density, frequency, use_incident_L, use_incident_T, x_nodes, h_nodes, A_x, A_z, S_LL[:, i], S_LT[:, i], S_TL[:, i], S_TT[:, i], ) return S_LL, S_LT, S_TL, S_TT @numba.jit(nopython=True, nogil=True, cache=True, parallel=False) def crack_2d_scat_general( phi_in_array, phi_out_array, vel_L, vel_T, density, frequency, use_incident_L, use_incident_T, x_nodes, h_nodes, A_x, A_z, S_LL, S_LT, S_TL, S_TT, ): """ call the kernel in the case where there is one phi_in for one phi_out (no optimisation available) """ # todo: set parallel=True if one day numba supports cache=True with this flag. for i in range(phi_in_array.shape[0]): for j in range(phi_out_array.shape[1]): # pass a slice which is writeable crack_2d_scat_kernel( phi_in_array[i, j], phi_out_array[i, j : j + 1], vel_L, vel_T, density, frequency, use_incident_L, use_incident_T, x_nodes, h_nodes, A_x, A_z, S_LL[i, j : j + 1], S_LT[i, j : j + 1], S_TL[i, j : j + 1], S_TT[i, j : j + 1], ) return S_LL, S_LT, S_TL, S_TT

31.577821

97

0.52449

2,664

16,231

2.986862

0.100976

0.045243

0.058816

0.053915

0.770517

0.755435

0.723137

0.701646

0.668468

0.658414

0

0.053954

0.333128

16,231

513

98

31.639376

0.681171

0.125747

0

0.557252

0

0.012774

0

0.003899

0.005089

1

0.068702

false

0

0.015267

0.017812

0.155216

0

null

0

1

0

1

0

null

0

4

003f11090fe092ef5872964cf2a10b23bcb90236

69

py

Python

starkit/fitkit/multinest/__init__.py

dchu808/starkit

1940683ef231cee54be2c703d4a7611a3991d8b7

[ "BSD-3-Clause" ]

12

2018-05-15T14:59:27.000Z

2022-01-11T16:44:43.000Z

starkit/fitkit/multinest/__init__.py

dchu808/starkit

1940683ef231cee54be2c703d4a7611a3991d8b7

[ "BSD-3-Clause" ]

27

2018-03-13T10:45:38.000Z

2020-08-03T20:47:31.000Z

starkit/fitkit/multinest/__init__.py

dchu808/starkit

1940683ef231cee54be2c703d4a7611a3991d8b7

[ "BSD-3-Clause" ]

17

2018-03-13T10:06:53.000Z

2019-06-27T02:02:10.000Z

from starkit.fitkit.multinest.base import MultiNest, MultiNestResult

34.5

68

0.869565

8

69

7.5

0.875

0

0.072464

69

1

69

0.9375

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

0043eb9985f03073219a27c15bca60135356a60e

92

py

Python

tests/wordnet_test.py

yoyo-go/wn

2533a8df129e761b239193674cef0d96e0a1a7db

[ "MIT" ]

null

tests/wordnet_test.py

yoyo-go/wn

2533a8df129e761b239193674cef0d96e0a1a7db

[ "MIT" ]

null

tests/wordnet_test.py

yoyo-go/wn

2533a8df129e761b239193674cef0d96e0a1a7db

[ "MIT" ]

null

from wn import WordNet class TestWordNet: def test_init(self): w = WordNet()

11.5

24

0.641304

12

92

4.833333

0.916667

0

0.282609

92

7

25

13.142857

0.878788

0

1

0.25

false

0

0.25

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

4

005386731454815dfca462b62e56c9cdaf48a1cd

189

py

Python

friends/serializers.py

inf3rnus/ReNa-Chat-Django-Backend

983f34e0f1e6db99cf6be3a4fbfcf64bf7eaf108

[ "bzip2-1.0.6" ]

1

2020-09-09T23:07:49.000Z

friends/serializers.py

inf3rnus/ReNa-Chat-Django-Backend

983f34e0f1e6db99cf6be3a4fbfcf64bf7eaf108

[ "bzip2-1.0.6" ]

8

2021-04-08T21:58:27.000Z

2022-03-12T00:44:58.000Z

friends/serializers.py

inf3rnus/ReNa-Chat-Django-Backend

983f34e0f1e6db99cf6be3a4fbfcf64bf7eaf108

[ "bzip2-1.0.6" ]

1

2020-12-14T07:10:57.000Z

from rest_framework.serializers import ModelSerializer from .models import Friend class FriendSerializer(ModelSerializer): class Meta: model = Friend fields = '__all__'

27

54

0.746032

19

189

7.157895

0.736842

0

0.201058

189

7

55

27

0.900662

0

0.036842

0

1

0

false

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

cc3748c324ba46bf17c44c0d743420de0e76c2cc

610

py

Python

unittest/scripts/auto/py_mixed_versions/validation/cluster_multiple_server_versions.py

mueller/mysql-shell

29bafc5692bd536a12c4e41c54cb587375fe52cf

[ "Apache-2.0" ]

119

2016-04-14T14:16:22.000Z

2022-03-08T20:24:38.000Z

unittest/scripts/auto/py_mixed_versions/validation/cluster_multiple_server_versions.py

mueller/mysql-shell

29bafc5692bd536a12c4e41c54cb587375fe52cf

[ "Apache-2.0" ]

9

2017-04-26T20:48:42.000Z

2021-09-07T01:52:44.000Z

unittest/scripts/auto/py_mixed_versions/validation/cluster_multiple_server_versions.py

mueller/mysql-shell

29bafc5692bd536a12c4e41c54cb587375fe52cf

[ "Apache-2.0" ]

51

2016-07-20T05:06:48.000Z

2022-03-09T01:20:53.000Z

#@<OUT> get cluster status { "clusterName": "testCluster", "defaultReplicaSet": { "name": "default", "topology": [ { "address": "<<<hostname>>>:<<<__mysql_sandbox_port2>>>", "label": "<<<hostname>>>:<<<__mysql_sandbox_port2>>>", "role": "HA" }, { "address": "<<<hostname>>>:<<<__mysql_sandbox_port1>>>", "label": "<<<hostname>>>:<<<__mysql_sandbox_port1>>>", "role": "HA" } ], "topologyMode": "Single-Primary" } }

29.047619

73

0.416393

37

610

6.432432

0.594595

0.218487

0.336134

0.226891

0

0.010526

0.377049

610

20

74

30.5

0.615789

0.040984

0

0.105263

0

0.493151

0.287671

0

1

0

true

0

null

1

0

null

0

1

0

4

cc7f7fb1c1048472b8a30553c108efd9da9b020c

31

py

Python

relstorage/tests/__init__.py

FinnArild/relstorage

02699c2d68ace19d530e390abfced9255a3ebb23

[ "ZPL-2.1" ]

1

2020-02-05T07:49:55.000Z

relstorage/tests/__init__.py

dpedu/relstorage

0b6990402f3db3b8c7a33681cb940b9a308367b4

[ "ZPL-2.1" ]

null

relstorage/tests/__init__.py

dpedu/relstorage

0b6990402f3db3b8c7a33681cb940b9a308367b4

[ "ZPL-2.1" ]

null

"""relstorage.tests package"""

15.5

30

0.709677

3

31

7.333333

1

0

0.064516

31

1

31

0.758621

0.774194

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

ccaa37392a5c6387cf176f6943ae6c00eebb50e4

231

py

Python

Task1F.py

WilliaaamWang/IA-Flood-Warning-System

43fff774207dd4ea0925864408f556aa216a81f9

[ "MIT" ]

null

Task1F.py

WilliaaamWang/IA-Flood-Warning-System

43fff774207dd4ea0925864408f556aa216a81f9

[ "MIT" ]

null

Task1F.py

WilliaaamWang/IA-Flood-Warning-System

43fff774207dd4ea0925864408f556aa216a81f9

[ "MIT" ]

1

2022-02-06T20:54:51.000Z

from floodsystem.stationdata import build_station_list from floodsystem.station import inconsistent_typical_range_stations stations = build_station_list() output = inconsistent_typical_range_stations(stations) print(sorted(output))

46.2

67

0.887446

28

231

6.964286

0.5

0.153846

0.164103

0.328205

0.410256

0

0.060606

231

5

68

46.2

0.898618

0

1

0

false

0

0.4

0

0.4

0.2

1

0

null

0

1

0

1

0

null

0

1

0

4

ccbe1ddea4bcadb230d54032ea4aed819d4605f2

651

py

Python

polyaxon/activitylogs/events/job.py

elyase/polyaxon

1c19f059a010a6889e2b7ea340715b2bcfa382a0

[ "MIT" ]

null

polyaxon/activitylogs/events/job.py

elyase/polyaxon

1c19f059a010a6889e2b7ea340715b2bcfa382a0

[ "MIT" ]

null

polyaxon/activitylogs/events/job.py

elyase/polyaxon

1c19f059a010a6889e2b7ea340715b2bcfa382a0

[ "MIT" ]

null

import activitylogs from event_manager.events import job activitylogs.subscribe(job.JobStartedTriggeredEvent) activitylogs.subscribe(job.JobSoppedTriggeredEvent) activitylogs.subscribe(job.JobDeletedTriggeredEvent) activitylogs.subscribe(job.JobCreatedEvent) activitylogs.subscribe(job.JobUpdatedEvent) activitylogs.subscribe(job.JobViewedEvent) activitylogs.subscribe(job.JobBookmarkedEvent) activitylogs.subscribe(job.JobUnBookmarkedEvent) activitylogs.subscribe(job.JobLogsViewedEvent) activitylogs.subscribe(job.JobRestartedTriggeredEvent) activitylogs.subscribe(job.JobStatusesViewedEvent) activitylogs.subscribe(job.JobOutputsDownloadedEvent)

38.294118

54

0.894009

56

651

10.375

0.357143

0.433735

0.495697

0

0.030722

651

16

55

40.6875

0.920761

0

1

0

true

0

0.142857

0

0.142857

0

1

null

1

0

null

0

1

0

4

4e16f7c12ee8c5535906b9007aae2b47e80c1127

113

py

Python

dashboard/models.py

permallotment/allotment3

0eb390086cc8f48ba6817541c6c70c06dfc83058

[ "CC0-1.0" ]

null

dashboard/models.py

permallotment/allotment3

0eb390086cc8f48ba6817541c6c70c06dfc83058

[ "CC0-1.0" ]

null

dashboard/models.py

permallotment/allotment3

0eb390086cc8f48ba6817541c6c70c06dfc83058

[ "CC0-1.0" ]

null

from django.db import models class PermaculturePrinciple(models.Model): text = models.CharField(max_length=63)

22.6

42

0.814159

15

113

6.066667

0.866667

0

0.019608

0.097345

113

4

43

28.25

0.872549

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

4e3f7c7a44a87d694e744a1b999e21743e5a1e2e

87

py

Python

src/wordlistools/plugins/__init__.py

Massiil/wordlistools

45edc94200130e87b444fd5c04e24e6093160f93

[ "MIT" ]

null

src/wordlistools/plugins/__init__.py

Massiil/wordlistools

45edc94200130e87b444fd5c04e24e6093160f93

[ "MIT" ]

null

src/wordlistools/plugins/__init__.py

Massiil/wordlistools

45edc94200130e87b444fd5c04e24e6093160f93

[ "MIT" ]

null

# flake8: noqa from . import filters_tools, modifiers_tools, plugins, statistics_tools

29

71

0.816092

11

87

6.181818

0.818182

0

0.012987

0.114943

87

2

72

43.5

0.87013

0.137931

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

9d6d91a5c00a630295f81f17e6d7f363a9ad43c8

859

py

Python

import_etl/routers.py

wbar/poc-import-snow-flake

14bab92ea6b8a2ba0acfd6628758d21c904b5317

[ "MIT" ]

1

2016-11-11T17:24:42.000Z

import_etl/routers.py

wbar/poc-import-snow-flake

14bab92ea6b8a2ba0acfd6628758d21c904b5317

[ "MIT" ]

null

import_etl/routers.py

wbar/poc-import-snow-flake

14bab92ea6b8a2ba0acfd6628758d21c904b5317

[ "MIT" ]

null

from django.conf import settings # noinspection PyMethodMayBeStatic,PyProtectedMember,PyUnusedLocal class EtlRouter(object): """ A router to ETL process """ def db_for_read(self, model, **hints): if model._meta.app_label == 'import_etl': return settings.ETL_DATABASE_ID return None def db_for_write(self, model, **hints): if model._meta.app_label == 'import_etl': return settings.ETL_DATABASE_ID return None def allow_relation(self, obj1, obj2, **hints): if obj1._meta.app_label == 'import_etl' and \ obj2._meta.app_label == 'import_etl': return True return None def allow_migrate(self, db, app_label, model=None, **hints): if app_label == 'import_etl': return db == settings.ETL_DATABASE_ID return None

29.62069

66

0.636787

107

859

4.859813

0.373832

0.092308

0.134615

0.163462

0.511538

0.426923

0.315385

0

0.006349

0.266589

859

28

67

30.678571

0.819048

0.103609

0

0.421053

0

0.066313

0

1

0.210526

false

0

0.315789

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

9d70100e02bb215b231b4efe2b6b322af83f4c5d

172

py

Python

scenario_player/utils/files/constants.py

hackaugusto/scenario-player

0701bb986f47e1ec4a4fb7a469157826da1993e2

[ "MIT" ]

null

scenario_player/utils/files/constants.py

hackaugusto/scenario-player

0701bb986f47e1ec4a4fb7a469157826da1993e2

[ "MIT" ]

null

scenario_player/utils/files/constants.py

hackaugusto/scenario-player

0701bb986f47e1ec4a4fb7a469157826da1993e2

[ "MIT" ]

null

BINARY_FNAME_TEMPLATE = "{version}-{platform}-{architecture}" ARCHIVE_FNAME_TEMPLATE = BINARY_FNAME_TEMPLATE + ".{ext}" CLOUD_STORAGE_URL = "http://cloud.raiden.network/"

34.4

61

0.773256

20

172

6.25

0.7

0.312

0.304

0

0.069767

172

4

62

43

0.78125

0

0.401163

0.203488

0

1

0

false

0

1

0

null

1

0

1

0

null

0

4

9d7beffe6aa3005e7af6935da1156ed8a4e8688b

148

py

Python

aff3ct-client/aff3ct/proto/ResultType.py

simonrus/aff3ct-bfe

c84ddc11ec75140632471e13f3f55dae3ce7950e

[ "MIT" ]

null

aff3ct-client/aff3ct/proto/ResultType.py

simonrus/aff3ct-bfe

c84ddc11ec75140632471e13f3f55dae3ce7950e

[ "MIT" ]

null

aff3ct-client/aff3ct/proto/ResultType.py

simonrus/aff3ct-bfe

c84ddc11ec75140632471e13f3f55dae3ce7950e

[ "MIT" ]

null

# automatically generated by the FlatBuffers compiler, do not modify # namespace: proto class ResultType(object): Success = 0 Failed = 1

16.444444

68

0.722973

18

148

5.944444

1

0

0.017241

0.216216

148

8

69

18.5

0.905172

0.560811

0

1

0

1

0

false

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

4

9d7cecec0c2684aa30861338779cf36aaafa378e

187

py

Python

tests/views.py

nicknelson/django-cache-tags

2bb381b45e454d2848e66e58232c0311a217fa18

[ "BSD-3-Clause" ]

null

tests/views.py

nicknelson/django-cache-tags

2bb381b45e454d2848e66e58232c0311a217fa18

[ "BSD-3-Clause" ]

null

tests/views.py

nicknelson/django-cache-tags

2bb381b45e454d2848e66e58232c0311a217fa18

[ "BSD-3-Clause" ]

null

from django_cache_tags.utils.cache import cache_view from django.views.generic.base import TemplateView @cache_view class TestView(TemplateView): cache_tags = ['test_tag'] pass

20.777778

52

0.791444

26

187

5.461538

0.615385

0.140845

0

0.13369

187

8

53

23.375

0.876543

0

0.042781

0

1

0

false

0.166667

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

4

9d86431ab563cff83673d49c61b10f18b9125389

250

py

Python

clients/keto/python/ory_keto_client/api/__init__.py

mojotalantikite/sdk

00fc86e98570e88911cfc66ce76637f8f1ac9dbe

[ "Apache-2.0" ]

null

clients/keto/python/ory_keto_client/api/__init__.py

mojotalantikite/sdk

00fc86e98570e88911cfc66ce76637f8f1ac9dbe

[ "Apache-2.0" ]

null

clients/keto/python/ory_keto_client/api/__init__.py

mojotalantikite/sdk

00fc86e98570e88911cfc66ce76637f8f1ac9dbe

[ "Apache-2.0" ]

null

from __future__ import absolute_import # flake8: noqa # import apis into api package from ory_keto_client.api.engines_api import EnginesApi from ory_keto_client.api.health_api import HealthApi from ory_keto_client.api.version_api import VersionApi

27.777778

54

0.856

39

250

5.128205

0.487179

0.105

0.165

0.255

0.3

0

0.004484

0.108

250

8

55

31.25

0.892377

0.164

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

4

9d8b717c5a6853497a84b395d30f6fffc9f51d29

150

py

Python

plasmapy/diagnostics/__init__.py

KhalilBryant/PlasmaPy

05f7cb60348c7048fb3b8fbaf25985f2fba47fb7

[ "MIT", "BSD-2-Clause-Patent", "BSD-2-Clause", "BSD-3-Clause" ]

1

2020-02-14T16:35:02.000Z

plasmapy/diagnostics/__init__.py

KhalilBryant/PlasmaPy

05f7cb60348c7048fb3b8fbaf25985f2fba47fb7

[ "MIT", "BSD-2-Clause-Patent", "BSD-2-Clause", "BSD-3-Clause" ]

1

2018-06-18T16:00:57.000Z

2018-06-18T17:07:00.000Z

plasmapy/diagnostics/__init__.py

KhalilBryant/PlasmaPy

05f7cb60348c7048fb3b8fbaf25985f2fba47fb7

[ "MIT", "BSD-2-Clause-Patent", "BSD-2-Clause", "BSD-3-Clause" ]

null

"""The diagnostics subpackage contains tools for experimental research. Currently, we have functionality for analyzing data from Langmuir probes. """

37.5

73

0.813333

18

150

6.777778

0.944444

0

0.126667

150

3

74

50

0.931298

0.946667

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

9dad13d096deb2e43e930d8446110728999496ac

3,189

py

Python

tests/regressiontests/forms/localflavortests.py

kvbik/django

a507e552af4e7ac3080282e690e2e33c6d34570d

[ "BSD-3-Clause" ]

1

2016-05-09T15:16:24.000Z

tests/regressiontests/forms/localflavortests.py

kvbik/django

a507e552af4e7ac3080282e690e2e33c6d34570d

[ "BSD-3-Clause" ]

null

tests/regressiontests/forms/localflavortests.py

kvbik/django

a507e552af4e7ac3080282e690e2e33c6d34570d

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- from localflavor.ar import tests as localflavor_ar_tests from localflavor.at import tests as localflavor_at_tests from localflavor.au import tests as localflavor_au_tests from localflavor.br import tests as localflavor_br_tests from localflavor.ca import tests as localflavor_ca_tests from localflavor.ch import tests as localflavor_ch_tests from localflavor.cl import tests as localflavor_cl_tests from localflavor.cz import tests as localflavor_cz_tests from localflavor.de import DELocalFlavorTests from localflavor.es import tests as localflavor_es_tests from localflavor.fi import tests as localflavor_fi_tests from localflavor.fr import tests as localflavor_fr_tests from localflavor.generic import tests as localflavor_generic_tests from localflavor.id import tests as localflavor_id_tests from localflavor.ie import tests as localflavor_ie_tests from localflavor.il import IsraelLocalFlavorTests from localflavor.is_ import tests as localflavor_is_tests from localflavor.it import tests as localflavor_it_tests from localflavor.jp import tests as localflavor_jp_tests from localflavor.kw import tests as localflavor_kw_tests from localflavor.nl import tests as localflavor_nl_tests from localflavor.pl import tests as localflavor_pl_tests from localflavor.pt import tests as localflavor_pt_tests from localflavor.ro import tests as localflavor_ro_tests from localflavor.se import tests as localflavor_se_tests from localflavor.sk import tests as localflavor_sk_tests from localflavor.uk import tests as localflavor_uk_tests from localflavor.us import tests as localflavor_us_tests from localflavor.uy import tests as localflavor_uy_tests from localflavor.za import tests as localflavor_za_tests from localflavor.be import BETests __test__ = { 'localflavor_ar_tests': localflavor_ar_tests, 'localflavor_at_tests': localflavor_at_tests, 'localflavor_au_tests': localflavor_au_tests, 'localflavor_br_tests': localflavor_br_tests, 'localflavor_ca_tests': localflavor_ca_tests, 'localflavor_ch_tests': localflavor_ch_tests, 'localflavor_cl_tests': localflavor_cl_tests, 'localflavor_cz_tests': localflavor_cz_tests, 'localflavor_es_tests': localflavor_es_tests, 'localflavor_fi_tests': localflavor_fi_tests, 'localflavor_fr_tests': localflavor_fr_tests, 'localflavor_generic_tests': localflavor_generic_tests, 'localflavor_id_tests': localflavor_id_tests, 'localflavor_ie_tests': localflavor_ie_tests, 'localflavor_is_tests': localflavor_is_tests, 'localflavor_it_tests': localflavor_it_tests, 'localflavor_jp_tests': localflavor_jp_tests, 'localflavor_kw_tests': localflavor_kw_tests, 'localflavor_nl_tests': localflavor_nl_tests, 'localflavor_pl_tests': localflavor_pl_tests, 'localflavor_pt_tests': localflavor_pt_tests, 'localflavor_ro_tests': localflavor_ro_tests, 'localflavor_se_tests': localflavor_se_tests, 'localflavor_sk_tests': localflavor_sk_tests, 'localflavor_uk_tests': localflavor_uk_tests, 'localflavor_us_tests': localflavor_us_tests, 'localflavor_uy_tests': localflavor_uy_tests, 'localflavor_za_tests': localflavor_za_tests, }

49.061538

66

0.838821

439

3,189

5.699317

0.09795

0.351719

0.145484

0.268585

0.384492

0

0.000353

0.112574

3,189

64

67

49.828125

0.883746

0.006585

0

0.178459

0.007896

0

1

0

false

0

0.508197

0

0.508197

0

null

1

0

1

0

null

0

1

0

1

0

4

9de8548126c0bb0004bd92da17ad48b3fbc94ad4

74

py

Python

pythonProj/FZPython/pyquant/libs/__init__.py

iHamburg/FZQuant

86b750ec33d01badfd3f324d6f1599118b9bf8ff

[ "MIT" ]

null

pythonProj/FZPython/pyquant/libs/__init__.py

iHamburg/FZQuant

86b750ec33d01badfd3f324d6f1599118b9bf8ff

[ "MIT" ]

null

pythonProj/FZPython/pyquant/libs/__init__.py

iHamburg/FZQuant

86b750ec33d01badfd3f324d6f1599118b9bf8ff

[ "MIT" ]

2

2019-04-10T10:05:00.000Z

2021-11-24T17:17:23.000Z

# coding: utf8 # from .loglib import logger # from .socketioclient import

18.5

29

0.756757

9

74

6.222222

0.777778

0

0.016129

0.162162

74

4

29

18.5

0.887097

0.905405

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

9debededccf60db1891feb68006625a66e21dbeb

75

py

Python

contests_atcoder/abc194/abc194_c_after.py

takelifetime/competitive-programming

e7cf8ef923ccefad39a1727ca94c610d650fcb76

[ "BSD-2-Clause" ]

null

contests_atcoder/abc194/abc194_c_after.py

takelifetime/competitive-programming

e7cf8ef923ccefad39a1727ca94c610d650fcb76

[ "BSD-2-Clause" ]

1

2021-01-02T06:36:51.000Z

contests_atcoder/abc194/abc194_c_after.py

takelifetime/competitive-programming

e7cf8ef923ccefad39a1727ca94c610d650fcb76

[ "BSD-2-Clause" ]

null

n,*a=map(int,open(0).read().split()) print(sum(n*x**2for x in a)-sum(a)**2)

37.5

38

0.6

19

75

2.368421

0.736842

0

0.042254

0.053333

75

2

38

37.5

0.591549

0

1

0

true

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

4

9df01c65fd0965ac6d4c3073e5337e68b990116f

193

py

Python

Hackerrank/Higher order functions and closures - 2.py

amarlearning/CodeForces

6625d3be21cb6a78b88c7521860d1da263e77121

[ "Unlicense" ]

3

2016-02-20T12:14:51.000Z

2016-03-18T20:09:36.000Z

Hackerrank/Higher order functions and closures - 2.py

amarlearning/Codeforces

6625d3be21cb6a78b88c7521860d1da263e77121

[ "Unlicense" ]

null

Hackerrank/Higher order functions and closures - 2.py

amarlearning/Codeforces

6625d3be21cb6a78b88c7521860d1da263e77121

[ "Unlicense" ]

2

2018-07-26T21:00:42.000Z

2019-11-30T19:33:57.000Z

def factory(n): def current(): return n def counter(): return n + 1 return current, counter f_current, f_counter = factory(int(input()))

16.083333

44

0.512953

22

193

4.409091

0.454545

0.082474

0

0.008475

0.388601

193

11

45

17.545455

0.813559

0

1

0.428571

false

0

0.285714

0.857143

0

1

0

null

0

null

0

1

0

1

0

4

9df0a1ffd7f34816b925099520634ebf75990078

5,733

py

Python

advent day 1.py

brli6383/AoC

5b08be1e1e5742b6fe2510c4ac156b0c47b1d8e4

[ "MIT" ]

null

advent day 1.py

brli6383/AoC

5b08be1e1e5742b6fe2510c4ac156b0c47b1d8e4

[ "MIT" ]

null

advent day 1.py

brli6383/AoC

5b08be1e1e5742b6fe2510c4ac156b0c47b1d8e4

[ "MIT" ]

null

numbers = [ -9, +7, +5, -13, +6, +14, -5, -10, -10, -12, +2, +5, +2, -6, -12, +1, +13, +5, +3, -15, -12, +4, -11, +10, -5, -14, -6, +2, -9, -18, +8, -1, +12, +9, +5, -9, +14, +3, -4, -16, +14, +14, +13, -7, -19, +12, -9, +5, +21, -7, +19, -2, +14, +18, +17, +4, +11, -16, -5, -6, -7, -2, -1, -2, -1, +14, -17, +5, +13, +8, -6, +15, +2, +16, -7, -6, +11, +10, +17, +13, -7, +17, -18, +2, +8, -17, +16, +4, +7, +4, -10, -10, +8, +16, -13, -19, -12, -12, +10, -5, +21, -12, -17, +6, -19, +18, -10, +3, -19, +7, +16, -12, +6, +15, -4, +9, +5, +17, -16, -4, -8, +2, +8, +5, -6, +9, +2, +17, +15, -6, +9, +18, +6, +18, -5, -3, +17, +7, -10, -5, +4, -6, +3, -12, -15, -16, -16, +18, +16, -14, -9, +12, -13, -2, +5, +16, -15, +7, +9, +8, -11, -8, -15 +13, +11, +18, -15, -5, +10, +14, -13, +16, +2, +19, +17, +17, -12, +17, +8, -4, -12, -11, -12, -4, +15, +5, +9, -18, -14, -8, +13, +19, +2, -11, +5, +5, -3, +6, +9, +12, +19, -15, -12, -6, +22, +2, -4, +16, -11, +18, +6, +14, +1, -3, -10, +6, -10, +12, +7, +1, -11, +13, -17, +19, +16, +1, -12, -14, +8, +16, -11, +10, +7, +5, -6, +5, +8, +2, -4, +8, +5, -10, +7, +5, +4, +13, +15, +12, +12, -14, +6, -12, +2, -8, +16, +5, +10, +18, -2, +16, +2, -11, -13, +19, +9, +12, +18, +14, +17, +9, -13, +25, -27, +18, +4, +16, +5, -15, +13, +15, -16, +12, +23, -12, -8, -19, -10, +24, +16, +6, -15, +26, -16, -13, +7, +25, +12, +19, +14, +16, -5, -12, -22, -17, -20, -6, -32, -2, -18, -10, -11, -26, +10, -17, -8, -17, -8, +9, -16, -14, -19, +17, +19, +2, +20, +19, -13, -7, +19, -14, -15, -5, +3, -19, -6, -11, -2, +15, +13, -8, -12, -22, -9, -14, +15, -17, -1, -13, +9, +17, +15, -7, +13, +2, +15, -6, +17, +14, +8, +24, -19, -10, +26, -31, -18, -9, +11, -15, +20, +22, +2, +20, +18, +10, -16, -20, -32, +27, +33, -12, -13, +14, -20, -80, -11, +6, -19, -13, -5, -9, +5, +13, -8, -17, -14, -10, -16, -5, -11, +6, +6, -9, -13, -4, -20, +13, +3, +15, +4, +18, +3, -13, -7, +11, -20, -6, +18, +13, -23, +13, -17, -18, -5, +7, +8, -13, -23, -18, +14, +2, +7, -1, +5, -16, -15, +7, -8, +10, -16, -10, -22, +3, +18, +8, -6, -4, +7, +24, -8, -22, +27, +15, +1, -14, -47, -22, -10, +48, -56, -41, -9, +73, +79, -9, +48, -11, +36, +6, -16, +20, +10, +13, -20, +12, +9, +3, +4, +9, -12, +15, +2, +19, +8, +16, +13, -19, -23, +10, -18, +12, +20, +3, +12, -17, -8, +20, +3, +8, +2, -17, -13, -18, -8, -28, +7, +1, +4, -1, -29, +131, -4, +8, -27, -32, +14, -16, -10, -77, -31, +160, -115, -130, -103, +930, +75389, -16, -5, +4, +8, +2, -7, +6, +7, +11, -8, +4, -3, -5, +13, +7, -5, +7, -5, -1, +11, +18, +19, -18, +7, -14, +2, -5, +12, +11, +15, -17, -6, +17, +3, -4, +9, +16, -13, +2, +19, -7, -3, +18, +20, -11, +13, +3, +4, -2, +14, +9, -17, +2, +8, -5, -8, +2, +10, +17, +2, +15, -1, -11, +13, -9, -5, -19, -18, -16, -14, -7, -13, -11, -10, +15, +7, +18, -12, -9, -16, +3, -14, -1, +16, -9, -12, -19, +1, -5, -15, -14, -7, +17, -1, -19, -9, +6, +12, -21, -20, -11, -6, +8, +5, +10, -2, +12, -13, +6, +12, -10, +13, -6, +19, -3, -22, -18, -4, -3, +20, +10, -3, -19, -9, +6, -7, -13, -18, -18, -3, +10, -13, -14, -6, +9, +20, +5, +5, +16, +14, +14, -19, -19, +11, +10, -14, -17, -19, -6, -11, -13, -1, -18, -14, +10, -8, +1, +1, +15, +8, -15, +6, -9, +2, +12, +13, -7, -5, -19, -6, -1, -19, -12, -1, -4, -6, -16, +2, -20, -15, +5, +9, -19, +12, +9, -15, -5, -12, -6, -12, -11, +13, -11, -9, -2, -16, -17, -9, +16, +20, +5, +20, -7, -6, +4, -12, -1, -5, -22, -19, +10, -9, -4, -5, -8, -11, -18, -13, +20, +1, -12, +7, -19, +10, -8, +13, -7, -19, -15, -2, +7, -18, -14, +2, +15, -6, -20, -10, +20, +3, -19, -19, -22, -14, +7, +10, -15, -12, -18, -7, -20, -12, +1, +14, +13, -8, -1, -10, -13, +9, +11, +7, +18, -4, +6, -3, +20, +18, -14, -3, +11, +15, +8, -9, +28, +15, +13, +14, +4, -13, -1, -14, -5, -20, +16, +10, +11, +32, +23, +18, +3, +3, -12, +4, +11, +14, +17, +2, +6, -5, +19, +12, +17, -15, -10, -15, -5, -17, +20, +20, -14, +23, -14, +26, -11, +9, +21, +4, +16, -4, +5, -11, -8, -10, -5, +14, -2, -4, +12, -10, +16, +1, +12, +1, -2, -17, +10, +21, -9, +15, -9, +14, +3, -1, +5, +19, +10, -7, -10, -13, +14, -2, +16, +10, -1, -20, +9, -8, -9, -19, +18, +3, -18, +11, -1, -5, +21, +22, +4, -11, +6, +18, -8, +10, +12, -19, -5, +25, +5, -12, -12, +3, +14, +15, +4, +6, +19, +18, +7, -16, -1, -13, -6, -1, +11, -7, +13, -15, -5, +13, +21, -3, -14, -8, -16, +13, +2, -9, -18, +21, -20, -20, +18, -19, -22, +20, -3, -4, -9, -8, -20, +1, -21, -4, -9, -1, +18, -7, +10, +20, -16, +23, +17, +9, -19, -3, +9, +5, +2, -25, +1, -15, -55, -13, -10, -11, +1, -14, -12, +23, +15, +15, -2, +19, -7, -6, +10, +12, +1, +8, -51, +28, +24, -98, +16, -3, -5, -13, -37, +6, -14, +9, -12, -6, -23, +16, -12, -10, +3, +41, +4, +20, -13, -5, -1, -64, -30, -11, -23, -46, -27, -11, -75223 ] Sum = sum(numbers) print(Sum) print(numbers) frequencies = set() found = False currentfrequency = 0 while not found: for num in numbers: #for each individual number in the array above currentfrequency += num #each recurrence adds the integer currentSet = set({currentfrequency}) #assigns variable curset to a set of length one to utilize the set operations on the intersection if len(currentSet.intersection(frequencies)) > 0: #compares sets to return a new set of the intersection (intersection = anything contained in both sets) found = True #if the intersection is > 1 then you have your first repeat break #kills the for loop - back up to while not found frequencies.add(currentfrequency) #If you dont break the loop, then you add curfreq again until the loop is broken print(currentfrequency)

5.517806

166

0.39543

1,141

5,733

1.986854

0.105171

0.010587

0.006617

0.006176

0

0.375776

0.241061

5,733

1,038

167

5.523121

0.145254

0.080063

0

0.953623

0

1

0

false

0

0.002899

0

1

null

0

1

0

1

0

1

0

null

0

4

d17ecf3f1b7b4d61b755c0867ab2e4e9ea87ca7c

759

py

Python

mw/colorize.py

devrandom/pymultiwallet

baf7bfb1b70d6ec1e02ce3a7f1c49567ab62a176

[ "MIT" ]

3

2018-06-21T00:36:53.000Z

2021-03-19T14:51:33.000Z

mw/colorize.py

devrandom/pymultiwallet

baf7bfb1b70d6ec1e02ce3a7f1c49567ab62a176

[ "MIT" ]

10

2017-12-22T19:55:32.000Z

2021-03-25T19:05:45.000Z

mw/colorize.py

devrandom/pymultiwallet

baf7bfb1b70d6ec1e02ce3a7f1c49567ab62a176

[ "MIT" ]

2

2017-12-22T00:22:06.000Z

2020-05-18T07:23:13.000Z

colors = [ '\033[38;5;21m', # blue (cold) '\033[38;5;39m', '\033[38;5;50m', '\033[38;5;48m', '\033[38;5;46m', # green '\033[38;5;118m', '\033[38;5;190m', '\033[38;5;226m', # yellow '\033[38;5;220m', '\033[38;5;214m', # orange '\033[38;5;208m', '\033[38;5;202m', '\033[38;5;196m', # red '\033[38;5;203m', '\033[38;5;210m', '\033[38;5;217m', # pink '\033[38;5;224m', '\033[38;5;231m' # white (hot) ] reset = '\033[0m' mapping = 'SE .o+=*BOX@%&#/^' def colorize_char(c): ind = mapping.find(c) if (ind < 0 or ind >= len(colors)): return c return "%s%s%s"%(colors[ind], c, reset) def colorize(visualization): return ''.join(colorize_char(c) for c in visualization)

23.71875

59

0.519104

126

759

3.111111

0.420635

0.229592

0.27551

0

0.27551

0.225296

759

31

60

24.483871

0.391156

0.068511

0

0.39628

0

1

0.068966

false

0

0.034483

0.172414

0

null

1

0

1

0

1

0

null

0

4

d18e9a245e6a4658534fc7ef131fdf0f1101d3ea

1,040

py

Python

solutions/python/2018/groupDating.py

lucifer1198/Codesignal

07d6d6457b8b3a9f1c51118b0e8e44cce66ee039

[ "MIT" ]

2

2020-12-21T22:09:26.000Z

2021-01-01T15:40:01.000Z

solutions/python/2018/groupDating.py

nsu1210/Codesignal

07d6d6457b8b3a9f1c51118b0e8e44cce66ee039

[ "MIT" ]

null

solutions/python/2018/groupDating.py

nsu1210/Codesignal

07d6d6457b8b3a9f1c51118b0e8e44cce66ee039

[ "MIT" ]

1

2021-01-28T18:15:02.000Z

""" You're organizing a group dating activity for cats, i.e. a meeting where an equal number of male and female cats get together. For each cat you calculate their nature value, an integer that describes the cat's spirit. When a male and a female cat with the same nature value see each other, they become connected and happily walk out together. You've just started another group dating, and placed the cats in front of one another so that the ith male is sitting across the ith female. What cats will remain at their places, assuming that the pairs of cats sitting in front of each other and having the same nature values will walk out? Example For male = [5, 28, 14, 99, 17] and female = [5, 14, 28, 99, 16], the output should be groupDating(male, female) = [[28, 14, 17], [14, 28, 16]]. Pairs of cats at positions 0 and 3 (0-based) have the same nature values, so they will leave the meeting. """ def groupDating(male, female): return [[m for m, f in zip(male, female) if m != f], [f for m, f in zip(male, female) if m != f]]

54.736842

342

0.728846

194

1,040

3.907216

0.463918

0.05277

0.051451

0.050132

0.063325

0

0.039379

0.194231

1,040

18

343

57.777778

0.865155

0.861538

0

1

0.5

false

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

4

d19f1f966a9a89b22ad82f3d2e31981b365e768a

2,669

py

Python

platform/core/polyaxon/schemas/__init__.py

hackerwins/polyaxon

ff56a098283ca872abfbaae6ba8abba479ffa394

[ "Apache-2.0" ]

null

platform/core/polyaxon/schemas/__init__.py

hackerwins/polyaxon

ff56a098283ca872abfbaae6ba8abba479ffa394

[ "Apache-2.0" ]

null

platform/core/polyaxon/schemas/__init__.py

hackerwins/polyaxon

ff56a098283ca872abfbaae6ba8abba479ffa394

[ "Apache-2.0" ]

null

from polyaxon_schemas.api.experiment import ContainerResourcesConfig # noqa from polyaxon_schemas.api.job import JobLabelConfig, JobLabelSchema # noqa from polyaxon_schemas.api.log_handler import LogHandlerConfig # noqa from polyaxon_schemas.api.user import UserConfig # noqa from polyaxon_schemas.api.version import ( # noqa ChartVersionConfig, CliVersionConfig, LibVersionConfig, PlatformVersionConfig ) from polyaxon_schemas.base import BaseConfig, BaseSchema # noqa from polyaxon_schemas.exceptions import ( # noqa PolyaxonConfigurationError, PolyaxonfileError, PolyaxonSchemaError ) from polyaxon_schemas.fields import UUID # noqa from polyaxon_schemas.ops import params as ops_params # noqa from polyaxon_schemas.ops.build_job.backends import BuildBackend # noqa from polyaxon_schemas.ops.environments.outputs import OutputsConfig # noqa from polyaxon_schemas.ops.environments.persistence import PersistenceConfig # noqa from polyaxon_schemas.ops.environments.resources import PodResourcesConfig # noqa from polyaxon_schemas.ops.experiment.backends import ExperimentBackend # noqa from polyaxon_schemas.ops.experiment.environment import ( # noqa HorovodClusterConfig, MPIClusterConfig, MXNetClusterConfig, PytorchClusterConfig, TensorflowClusterConfig ) from polyaxon_schemas.ops.experiment.frameworks import ExperimentFramework # noqa from polyaxon_schemas.ops.group.early_stopping_policies import EarlyStoppingConfig # noqa from polyaxon_schemas.ops.group.matrix import MatrixConfig # noqa from polyaxon_schemas.ops.group.metrics import Optimization, SearchMetricConfig # noqa from polyaxon_schemas.ops.notebook.backends import NotebookBackend # noqa from polyaxon_schemas.pod import PodLifeCycle # noqa from polyaxon_schemas.polyaxonfile import PolyaxonFile # noqa from polyaxon_schemas.specs import kinds # noqa from polyaxon_schemas.specs import ( BuildSpecification, ExperimentSpecification, GroupSpecification, JobSpecification, NotebookSpecification, PipelineSpecification, TensorboardSpecification ) from polyaxon_schemas.specs.frameworks import ( # noqa HorovodSpecification, MPISpecification, MXNetSpecification, PytorchSpecification, TensorflowSpecification ) from polyaxon_schemas.utils import TaskType # noqa from polyaxon_schemas.ops.group.hptuning import ( # noqa; noqa AcquisitionFunctions, BOConfig, GaussianProcessConfig, GaussianProcessesKernels, GridSearchConfig, HPTuningConfig, HyperbandConfig, RandomSearchConfig, ResourceConfig, SearchAlgorithms, UtilityFunctionConfig )

38.128571

90

0.811915

258

2,669

8.275194

0.368217

0.151756

0.240281

0.22623

0.277283

0.177049

0

0.140127

2,669

69

91

38.681159

0.930283

0.050581

0

1

0

true

0

0.397059

0

0.397059

0

null

0

1

0

null

0

1

0

1

0

4

d1b0722861a48dda7c0619379c7ce95af269d797

192

py

Python

src/settings_prod.py

chrisromito/cabin-iot-board

add87c47164d33bf3d8c318415d4eede2ea7e930

[ "MIT" ]

null

src/settings_prod.py

chrisromito/cabin-iot-board

add87c47164d33bf3d8c318415d4eede2ea7e930

[ "MIT" ]

null

src/settings_prod.py

chrisromito/cabin-iot-board

add87c47164d33bf3d8c318415d4eede2ea7e930

[ "MIT" ]

null

class Settings: WLAN_HOST = '$sudo' WLAN_PASSWORD = 'HowNowBrownCow' MQTT_BROKER_HOST = '192.168.0.136' MQTT_BROKER_PORT = '1883' API_URL = 'http://192.168.0.136:5000/api'

27.428571

45

0.661458

28

192

4.285714

0.678571

0.166667

0.116667

0.166667

0

0.180645

0.192708

192

6

46

32

0.593548

0

0.338542

0

1

0

false

0.166667

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

4

d1b90a91e13c2a5e47ba35e6c28a9f9dae40ba91

113

py

Python

terrascript/provider/clc.py

hugovk/python-terrascript

08fe185904a70246822f5cfbdc9e64e9769ec494

[ "BSD-2-Clause" ]

507

2017-07-26T02:58:38.000Z

2022-01-21T12:35:13.000Z

terrascript/provider/clc.py

hugovk/python-terrascript

08fe185904a70246822f5cfbdc9e64e9769ec494

[ "BSD-2-Clause" ]

135

2017-07-20T12:01:59.000Z

2021-10-04T22:25:40.000Z

terrascript/provider/clc.py

hugovk/python-terrascript

08fe185904a70246822f5cfbdc9e64e9769ec494

[ "BSD-2-Clause" ]

81

2018-02-20T17:55:28.000Z

2022-01-31T07:08:40.000Z

# terrascript/provider/clc.py import terrascript class clc(terrascript.Provider): pass __all__ = ["clc"]

11.3

32

0.725664

13

113

6

0.615385

0.487179

0

0.159292

113

9

33

12.555556

0.821053

0.238938

0

0.035714

0

1

0

false

0.25

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

d1bc16902466b4a8dc9b7b855cc8a5329c97c4dd

131

py

Python

urls.py

torkashvand/async-chord

e543ca2d8235b846e78b7e84b8bef827e82e150b

[ "MIT" ]

null

urls.py

torkashvand/async-chord

e543ca2d8235b846e78b7e84b8bef827e82e150b

[ "MIT" ]

null

urls.py

torkashvand/async-chord

e543ca2d8235b846e78b7e84b8bef827e82e150b

[ "MIT" ]

null

from handlers.chord import ChordHandler from handlers.base import IndexHandler url_patterns = [ (r"/index/", IndexHandler), ]

18.714286

39

0.755725

15

131

6.533333

0.733333

0.244898

0

0.145038

131

6

40

21.833333

0.875

0

0.053435

0

1

0

false

0

0.4

0

0.4

0

1

0

null

1

0

1

0

null

0

1

0

4

d1bd115ff485ff130c216d3eeab674a76e4a2a4e

2,678

py

Python

scripts/testcase.py

HolisticCoders/maya-tests

4e8c1ee536826f86f1084f5cf04388c27be7ff27

[ "MIT" ]

null

scripts/testcase.py

HolisticCoders/maya-tests

4e8c1ee536826f86f1084f5cf04388c27be7ff27

[ "MIT" ]

null

scripts/testcase.py

HolisticCoders/maya-tests

4e8c1ee536826f86f1084f5cf04388c27be7ff27

[ "MIT" ]

null

import unittest import maya.cmds as cmds class TestCase(unittest.TestCase): pass # """Base class for unit test cases run in Maya. # Tests do not have to inherit from this TestCase but this derived TestCase contains convenience # functions to load/unload plug-ins and clean up temporary files. # """ # # Keep track of all temporary files that were created so they can be cleaned up after # # all tests have been run # files_created = [] # # Keep track of which plugins were loaded so we can unload them after all tests have been run # plugins_loaded = set() # @classmethod # def tearDownClass(cls): # super(TestCase, cls).tearDownClass() # cls.delete_temp_files() # cls.unload_plugins() # @classmethod # def load_plugin(cls, plugin): # """Load the given plug-in and saves it to be unloaded when the TestCase is finished. # @param plugin: Plug-in name. # """ # cmds.loadPlugin(plugin, qt=True) # cls.plugins_loaded.add(plugin) # @classmethod # def unload_plugins(cls): # # Unload any plugins that this test case loaded # for plugin in cls.plugins_loaded: # cmds.unloadPlugin(plugin) # cls.plugins_loaded = [] # @classmethod # def delete_temp_files(cls): # """Delete the temp files in the cache and clear the cache.""" # # If we don't want to keep temp files around for debugging purposes, delete them when # # all tests in this TestCase have been run # if Settings.delete_files: # for f in cls.files_created: # if os.path.exists(f): # os.remove(f) # cls.files_create = [] # @classmethod # def get_temp_filename(cls, file_name): # """Get a unique filepath name in the testing directory. # The file will not be created, that is up to the caller. This file will be deleted when # the tests are finished. # @param file_name: A partial path ex: 'directory/somefile.txt' # @return The full path to the temporary file. # """ # temp_dir = Settings.temp_dir # if not os.path.exists(temp_dir): # os.makedirs(temp_dir) # base_name, ext = os.path.splitext(file_name) # path = "{0}/{1}{2}".format(temp_dir, base_name, ext) # count = 0 # while os.path.exists(path): # # If the file already exists, add an incrememted number # count += 1 # path = "{0}/{1}{2}{3}".format(temp_dir, base_name, count, ext) # cls.files_created.append(path) # return path

36.189189

100

0.609037

358

2,678

4.472067

0.368715

0.026234

0.020612

0.028107

0.069332

0.029981

0

0.004772

0.295743

2,678

73

101

36.684932

0.844115

0.833084

0

1

0

true

0.25

0.5

0

0.75

0

null

0

1

0

null

0

1

0

4

d1c92147433267cc39353766161e81d2357f9572

41

py

Python

pyewts/__init__.py

riggy2013/pyewts

25c21a59e46460ef8286208fe355b23c04fa8a76

[ "Apache-2.0" ]

null

pyewts/__init__.py

riggy2013/pyewts

25c21a59e46460ef8286208fe355b23c04fa8a76

[ "Apache-2.0" ]

null

pyewts/__init__.py

riggy2013/pyewts

25c21a59e46460ef8286208fe355b23c04fa8a76

[ "Apache-2.0" ]

null

from .pyewts import * VERSION = "0.1.2"

10.25

21

0.634146

7

41

3.714286

1

0

0.090909

0.195122

41

3

22

13.666667

0.69697

0

0.121951

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

4

d1f9ef1d4e519a01f413fb8625d7bb2aa5470dfa

14,560

py

Python

supervised/seg_model/U_net/FC_EF.py

lexuanquyen/DSMSCN

f69ad118a5dea35e7bd7170a38bb088a4c7b2fc8

[ "MIT" ]

1

2020-11-30T12:18:13.000Z

supervised/seg_model/U_net/FC_EF.py

lexuanquyen/DSMSCN

f69ad118a5dea35e7bd7170a38bb088a4c7b2fc8

[ "MIT" ]

null

supervised/seg_model/U_net/FC_EF.py

lexuanquyen/DSMSCN

f69ad118a5dea35e7bd7170a38bb088a4c7b2fc8

[ "MIT" ]

null

import keras.backend as K from keras.layers import Conv2D, MaxPooling2D, Dropout, UpSampling2D, Concatenate, Lambda, Subtract, Conv2DTranspose, \ Multiply, GlobalAveragePooling2D from keras.models import Input, Model def get_FCEF_model(input_size, pre_weights=None): # get a Siamese Encoder inputs_tensor = Input(shape=input_size) Contract_Path_Model = Model(inputs=[inputs_tensor], outputs=contract_path(inputs_tensor)) Inputs = Input(shape=input_size) net, feature_1, feature_2, feature_3, feature_4 = Contract_Path_Model(Inputs) # get a Decoder FSEF_model = Model(inputs=Inputs, outputs=expansive_path(net, feature_1, feature_2, feature_3, feature_4)) return FSEF_model def Abs_layer(tensor): return Lambda(K.abs)(tensor) def contract_path(Inputs): Conv_1 = Conv2D(16, 3, activation='relu', padding='same', kernel_initializer='he_normal')(Inputs) # Conv_1 = BatchNormalization()(Conv_1) Conv_1 = Conv2D(16, 3, activation='relu', padding='same', kernel_initializer='he_normal')(Conv_1) feature_1 = Conv_1 # Conv_1 = BatchNormalization()(Conv_1) Pool_1 = MaxPooling2D(pool_size=(2, 2), padding='same')(Conv_1) Conv_2 = Conv2D(32, 3, activation='relu', padding='same', kernel_initializer='he_normal')(Pool_1) # Conv_2 = BatchNormalization()(Conv_2) Conv_2 = Conv2D(32, 3, activation='relu', padding='same', kernel_initializer='he_normal')(Conv_2) feature_2 = Conv_2 Merge_2 = Dropout(0.2)(Conv_2) # Conv_2 = BatchNormalization()(Conv_2) Pool_2 = MaxPooling2D(pool_size=(2, 2), padding='same')(Merge_2) # Conv_3 = Conv2D(64, 3, activation='relu', padding='same', kernel_initializer='he_normal')(Pool_2) # Conv_3 = Conv2D(64, 3, activation='relu', padding='same', kernel_initializer='he_normal')(Conv_3) # Conv_3 = Conv2D(64, 3, activation='relu', padding='same', kernel_initializer='he_normal')(Conv_3) Conv_3 = _Inception_model_2(inputs=Pool_2, strides=[1, 1], data_format='NHWC') Conv_3 = _Inception_model_1(inputs=Conv_3, strides=[1, 1], data_format='NHWC') Conv_3 = _Inception_model_1(inputs=Conv_3, strides=[1, 1], data_format='NHWC') feature_3 = Conv_3 Conv_3 = Dropout(0.3)(Conv_3) # Conv_3 = BatchNormalization()(Conv_3) Pool_3 = MaxPooling2D(pool_size=(2, 2), padding='same')(Conv_3) Conv_4 = _Inception_model_2(inputs=Pool_3, strides=[1, 1], data_format='NHWC') Conv_4 = _Inception_model_1(inputs=Conv_4, strides=[1, 1], data_format='NHWC') Conv_4 = _Inception_model_1(inputs=Conv_4, strides=[1, 1], data_format='NHWC') # Conv_4 = Conv2D(128, 3, activation='relu', padding='same', kernel_initializer='he_normal')(Pool_3) # # Conv_4 = BatchNormalization()(Conv_4) # Conv_4 = Conv2D(128, 3, activation='relu', padding='same', kernel_initializer='he_normal')(Conv_4) # # Conv_4 = BatchNormalization()(Conv_4) # Conv_4 = Conv2D(128, 3, activation='relu', padding='same', kernel_initializer='he_normal')(Conv_4) feature_4 = Conv_4 Drop_4 = Dropout(0.5)(Conv_4) #Pool_4 = Conv2D(128, 3, activation='relu', padding='same', kernel_initializer='he_normal', dilation_rate=2)(Drop_4) Pool_4 = MaxPooling2D(pool_size=(2, 2), padding='same')(Drop_4) return Pool_4, feature_1, feature_2, feature_3, feature_4 def expansive_path(feature, fea_1, fea_2, fea_3, fea_4): # layer_1 = Conv2DTranspose(128, 2, activation='relu', padding='same', kernel_initializer='he_normal')( # UpSampling2D(size=(2, 2))(feature)) layer_1 = Conv2DTranspose(128, 2, activation='relu', padding='same', kernel_initializer='he_normal')(feature) # attention_1 = Attention_layer(layer_1) # diff_fea_4 = Multiply()([attention_1, fea_4]) concat_layer_1 = Concatenate()([layer_1, fea_4]) layer_1 = Conv2D(128, 3, strides=[1, 1], activation='relu', padding='same', kernel_initializer='he_normal')( concat_layer_1) layer_1 = Conv2D(128, 3, strides=[1, 1], activation='relu', padding='same', kernel_initializer='he_normal')( layer_1) layer_1 = Dropout(0.5)(layer_1) # layer_1 = BatchNormalization()(layer_1) layer_1 = Conv2D(64, 3, strides=[1, 1], activation='relu', padding='same', kernel_initializer='he_normal')( layer_1) # (B, H/8, W/8, 64) --> (B, H/4, W/4, 32) layer_2 = Conv2DTranspose(64, 2, strides=[1, 1], activation='relu', padding='same', kernel_initializer='he_normal')( UpSampling2D(size=(2, 2))(layer_1)) # attention_2 = Attention_layer(layer_2) # diff_fea_3 = Multiply()([attention_2, fea_3]) concat_layer_2 = Concatenate()([layer_2, fea_3]) layer_2 = Conv2D(64, 3, activation='relu', padding='same', kernel_initializer='he_normal')( concat_layer_2) layer_2 = Conv2D(64, 3, activation='relu', padding='same', kernel_initializer='he_normal')(layer_2) # layer_2 = BatchNormalization()(layer_2) layer_2 = Conv2D(32, 3, activation='relu', padding='same', kernel_initializer='he_normal')(layer_2) drop_layer_2 = Dropout(0.4)(layer_2) # (B, H/4, W/4, 32) --> (B, H/2, W/2, 16) layer_3 = Conv2DTranspose(32, 2, activation='relu', padding='same', kernel_initializer='he_normal')( UpSampling2D(size=(2, 2))(drop_layer_2)) # attention_3 = Attention_layer(layer_3) # diff_fea_2 = Multiply()([attention_3, fea_2]) concat_layer_3 = Concatenate()([layer_3, fea_2]) layer_3 = Conv2D(32, 3, activation='relu', padding='same', kernel_initializer='he_normal')(concat_layer_3) # layer_3 = BatchNormalization()(layer_3) layer_3 = Conv2D(16, 3, activation='relu', padding='same', kernel_initializer='he_normal')(layer_3) drop_layer_3 = Dropout(0.3)(layer_3) # (B, H/2, W/2, 16) --> (B, H, W, 1) layer_4 = Conv2DTranspose(16, 2, activation='relu', padding='same', kernel_initializer='he_normal')( UpSampling2D(size=(2, 2))(drop_layer_3)) # attention_4 = Attention_layer(layer_4) # diff_fea_1 = Multiply()([attention_4, fea_1]) concat_layer_4 = Concatenate()([layer_4, fea_1]) # drop_layer_4 = Dropout(0.2)(concat_layer_4) # layer_4 = Conv2D(32, 3, activation='relu', padding='same', kernel_initializer='he_normal')( # concat_layer_4) # layer_3 = BatchNormalization()(layer_3) layer_4 = Conv2D(16, 3, activation='relu', padding='same', kernel_initializer='he_normal')(concat_layer_4) logits = Conv2D(1, 3, activation='sigmoid', padding='same', kernel_initializer='he_normal')(layer_4) logits = Lambda(squeeze)(logits) # Up_1 = Conv2D(128, 2, activation='relu', padding='same', kernel_initializer='he_normal')( # UpSampling2D(size=(2, 2))(feature)) # Merge_1 = Concatenate()([fea_4, Up_1]) # Deconv_1 = Conv2D(128, 3, activation='relu', padding='same', kernel_initializer='he_normal')(Merge_1) # # Deconv_1 = BatchNormalization()(Deconv_1) # Deconv_1 = Conv2D(128, 3, activation='relu', padding='same', kernel_initializer='he_normal')(Deconv_1) # # Deconv_1 = BatchNormalization()(Deconv_1) # Deconv_1 = Conv2D(64, 3, activation='relu', padding='same', kernel_initializer='he_normal')(Deconv_1) # # Deconv_1 = BatchNormalization()(Deconv_1) # Up_2 = Conv2D(64, 2, activation='relu', padding='same', kernel_initializer='he_normal')( # UpSampling2D(size=(2, 2))(Deconv_1)) # Merge_2 = Concatenate(axis=-1)([fea_3, Up_2]) # Merge_2 = Dropout(0.5)(Merge_2) # Deconv_2 = Conv2D(64, 3, activation='relu', padding='same', kernel_initializer='he_normal')(Merge_2) # # Deconv_2 = BatchNormalization()(Deconv_2) # Deconv_2 = Conv2D(64, 3, activation='relu', padding='same', kernel_initializer='he_normal')(Deconv_2) # # Deconv_2 = BatchNormalization()(Deconv_2) # Deconv_2 = Conv2D(32, 3, activation='relu', padding='same', kernel_initializer='he_normal')(Deconv_2) # # Deconv_2 = BatchNormalization()(Deconv_2) # Up_3 = Conv2D(32, 2, activation='relu', padding='same', kernel_initializer='he_normal')( # UpSampling2D(size=(2, 2))(Deconv_2)) # Merge_3 = Concatenate(axis=-1)([fea_2, Up_3]) # Merge_3 = Dropout(0.3)(Merge_3) # Deconv_3 = Conv2D(32, 3, activation='relu', padding='same', kernel_initializer='he_normal')(Merge_3) # # Deconv_3 = BatchNormalization()(Deconv_3) # Deconv_3 = Conv2D(16, 3, activation='relu', padding='same', kernel_initializer='he_normal')(Deconv_3) # # Deconv_3 = BatchNormalization()(Deconv_3) # Up_4 = Conv2D(16, 2, activation='relu', padding='same', kernel_initializer='he_normal')( # UpSampling2D(size=(2, 2))(Deconv_3)) # Merge_4 = Concatenate(axis=-1)([fea_1, Up_4]) # Merge_4 = Dropout(0.2)(Merge_4) # Deconv_4 = Conv2D(32, 3, activation='relu', padding='same', kernel_initializer='he_normal')(Merge_4) # # Deconv_4 = BatchNormalization()(Deconv_4) # Deconv_4 = Conv2D(16, 3, activation='relu', padding='same', kernel_initializer='he_normal')(Deconv_4) # # Deconv_4 = BatchNormalization()(Deconv_4) # logits = Conv2D(1, 3, activation='sigmoid', padding='same', kernel_initializer='he_normal')(Deconv_4) # logits = Lambda(squeeze)(logits) return logits def Global_Attention(high_feature, low_feature, low_fea_dim, high_fea_dim): weight = GlobalAveragePooling2D()(high_feature) weight = Expand_Dim_Layer(tensor=weight) weight = Expand_Dim_Layer(tensor=weight) weight = Conv2D(high_fea_dim, kernel_size=1, strides=[1, 1], activation='sigmoid', padding='same', kernel_initializer='glorot_uniform')(weight) low_feature = Conv2D(low_fea_dim, kernel_size=3, strides=[1, 1], activation='relu', padding='same', kernel_initializer='he_normal')(low_feature) weight_low_feature = Multiply()([weight, low_feature]) return weight_low_feature def Expand_Dim_Layer(tensor): def expand_dim(tensor): return K.expand_dims(tensor, axis=1) return Lambda(expand_dim)(tensor) def _Inception_model_1(inputs, strides, data_format='NHWC'): """ Inception model v1, which keep the channel of outputs is same with inputs :param inputs: (B, H, W, C) :param data_format: str :return: net, (B, H, W, C) """ if data_format == 'NHWC': inputs_channel = inputs.get_shape().as_list()[-1] else: inputs_channel = inputs.get_shape().as_list()[1] # 1x1 Conv branch_11conv = Conv2D(inputs_channel // 4, kernel_size=1, strides=strides, activation='relu', padding='same', kernel_initializer='he_normal')(inputs) # 3x3 Conv # branch_33conv = Conv2D(inputs_channel // 4, kernel_size=1, strides=[1, 1], activation='relu', padding='same', # kernel_initializer='he_normal')(inputs) branch_33conv = Conv2D(inputs_channel // 2, kernel_size=3, strides=strides, activation='relu', padding='same', kernel_initializer='he_normal')(inputs) # use two 3x3 conv layer to replace 5x5 conv layer, which can reduce parameter size and improve nonlinear branch_55conv = Conv2D(inputs_channel // 4, kernel_size=1, strides=strides, activation='relu', padding='same', kernel_initializer='he_normal')(inputs) branch_55conv = Conv2D(inputs_channel // 8, kernel_size=3, strides=strides, activation='relu', padding='same', kernel_initializer='he_normal')(branch_55conv) branch_55conv = Conv2D(inputs_channel // 8, kernel_size=3, strides=strides, activation='relu', padding='same', kernel_initializer='he_normal')(branch_55conv) # Max Pool branch_pool = MaxPooling2D(pool_size=[3, 3], strides=strides, padding='same')(inputs) branch_pool = Conv2D(inputs_channel // 8, kernel_size=[1, 1], strides=strides, activation='relu', padding='same', kernel_initializer='he_normal')(branch_pool) net = Concatenate()([branch_11conv, branch_33conv, branch_55conv, branch_pool]) return net def _Inception_model_2(inputs, strides, data_format='NHWC'): """ Inception model v2, which keep the channel of outputs is twice than inputs :param inputs: (B, H, W, C) :param data_format: str :return: net, (B, H, W, 2 * C) """ if data_format == 'NHWC': inputs_channel = inputs.get_shape().as_list()[-1] concat_dim = 3 else: inputs_channel = inputs.get_shape().as_list()[1] concat_dim = 1 # 1x1 Conv branch_11conv = Conv2D(inputs_channel // 2, 1, strides=strides, activation='relu', padding='same', kernel_initializer='he_normal')(inputs) # 3x3 Conv # branch_33conv = Conv2D(inputs_channel // 2, 1, strides=strides, activation='relu', padding='same', # kernel_initializer='he_normal')(inputs) branch_33conv = Conv2D(inputs_channel, 3, strides=strides, activation='relu', padding='same', kernel_initializer='he_normal')(inputs) # use two 3x3 conv layer to replace 5x5 conv layer, which can reduce parameter size and improve nonlinear branch_55conv = Conv2D(inputs_channel // 2, 1, strides=strides, activation='relu', padding='same', kernel_initializer='he_normal')(inputs) branch_55conv = Conv2D(inputs_channel // 4, 3, strides=strides, activation='relu', padding='same', kernel_initializer='he_normal')(branch_55conv) branch_55conv = Conv2D(inputs_channel // 4, 3, strides=strides, activation='relu', padding='same', kernel_initializer='he_normal')(branch_55conv) # Max Pool branch_pool = MaxPooling2D(pool_size=[3, 3], strides=strides, padding='same')(inputs) branch_pool = Conv2D(inputs_channel // 4, 1, strides=strides, activation='relu', padding='same', kernel_initializer='he_normal')(branch_pool) net = Concatenate(axis=concat_dim)([branch_11conv, branch_33conv, branch_55conv, branch_pool]) return net def Attention_layer(tensor): # fea = Lambda(self.sum_func)(Lambda(K.square)(tensor)) attention = Negative_layer(Conv2D(1, kernel_size=1, strides=[1, 1], activation='sigmoid', padding='same', kernel_initializer='glorot_uniform')(tensor)) return attention def Negative_layer(tensor): return Lambda(negative)(tensor) def negative(tensor): return -tensor def squeeze(tensor): return K.squeeze(tensor, axis=-1)

51.087719

120

0.674519

1,957

14,560

4.745529

0.070005

0.076989

0.108

0.177883

0.761495

0.729622

0.703779

0.673307

0.655432

0.634435

0

0.054812

0.179258

14,560

284

121

51.267606

0.722343

0.361607

0

0.264706

0

0.070436

0

1

0.095588

false

0

0.022059

0.036765

0.213235

0

null

0

1

0

1

0

1

0

null

0

4

d1fc6d502ee954371f9be38cd08a7401115179bb

70

py

Python

tests/__init__.py

William-Lake/comparing_lists

d9d53c89d4a36b1843bc536655cf8831afd4a2d4

[ "MIT" ]

null

tests/__init__.py

William-Lake/comparing_lists

d9d53c89d4a36b1843bc536655cf8831afd4a2d4

[ "MIT" ]

1

2018-10-25T22:38:47.000Z

tests/__init__.py

William-Lake/comparing_lists

d9d53c89d4a36b1843bc536655cf8831afd4a2d4

[ "MIT" ]

null

# -*- coding: utf-8 -*- """Unit test package for comparing_lists."""

17.5

44

0.614286

9

70

4.666667

1

0

0.016949

0.157143

70

3

45

23.333333

0.694915

0.871429

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

06073b985f52e20e57599162f46114fb7aa2f95c

138

py

Python

agents/__init__.py

BenGHolmes/AlphaFour

21fd34dfaca2899f5a17f323e964e5dab9f1e100

[ "MIT" ]

1

2021-08-05T04:09:15.000Z

agents/__init__.py

BenGHolmes/AlphaFour

21fd34dfaca2899f5a17f323e964e5dab9f1e100

[ "MIT" ]

null

agents/__init__.py

BenGHolmes/AlphaFour

21fd34dfaca2899f5a17f323e964e5dab9f1e100

[ "MIT" ]

null

from .agent import Agent from .human import Human from .alphabeta import AlphaBeta from .mcts import Mcts from .alphafour import AlphaFour

27.6

32

0.826087

20

138

5.7

0.35

0

0.137681

138

5

33

27.6

0.957983

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

ae7aef0cf6bbdefb51922c7e96c53008886fec83

545

py

Python

suvec/vk_api_impl/executing/responses_factory.py

ProtsenkoAI/skady-user-vectorizer

9114337d4a5cb176f6980e73a93eef90a49b478e

[ "MIT" ]

1

2021-05-07T16:48:16.000Z

suvec/vk_api_impl/executing/responses_factory.py

ProtsenkoAI/skady-user-vectorizer

9114337d4a5cb176f6980e73a93eef90a49b478e

[ "MIT" ]

null

suvec/vk_api_impl/executing/responses_factory.py

ProtsenkoAI/skady-user-vectorizer

9114337d4a5cb176f6980e73a93eef90a49b478e

[ "MIT" ]

null

from suvec.common.executing import ResponsesFactoryImpl from .parsers import VkApiFriendsParser, VkApiGroupsParser from .data_retrieving import VkApiRequestDataRetriever, AioVkRequestDataRetriever class VkApiResponsesFactory(ResponsesFactoryImpl): def __init__(self): super().__init__(VkApiFriendsParser(), VkApiGroupsParser(), VkApiRequestDataRetriever()) class AioVkResponsesFactory(ResponsesFactoryImpl): def __init__(self): super().__init__(VkApiFriendsParser(), VkApiGroupsParser(), AioVkRequestDataRetriever())

38.928571

96

0.816514

39

545

10.974359

0.512821

0.245327

0.126168

0.14486

0.350467

0

0.102752

545

13

97

41.923077

0.875256

0

0.222222

0

1

0.222222

false

0

0.333333

0

0.777778

0

1

null

1

0

null

0

1

0

1

0

4

ae9c5753d3dd9e274e86f1b42ff88599a0097444

23

py

Python

trimesh/version.py

bogacunver/trimesh

6ae6ddc898186c8f29bc8ab575653a46e99d2f9c

[ "MIT" ]

null

trimesh/version.py

bogacunver/trimesh

6ae6ddc898186c8f29bc8ab575653a46e99d2f9c

[ "MIT" ]

null

trimesh/version.py

bogacunver/trimesh

6ae6ddc898186c8f29bc8ab575653a46e99d2f9c

[ "MIT" ]

null

__version__ = '3.9.25'

11.5

22

0.652174

4

23

2.75

1

0

0.2

0.130435

23

1

23

0.35

0

0.26087

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

4

ae9e1ae98df292186105f015809a236f820d5edb

658

py

Python

tests/test_nz_bank_validate.py

zhaowb/nz-bank-validate

795b8aae7c29b7fe10ae22522561899d029ef36b

[ "MIT" ]

null

tests/test_nz_bank_validate.py

zhaowb/nz-bank-validate

795b8aae7c29b7fe10ae22522561899d029ef36b

[ "MIT" ]

null

tests/test_nz_bank_validate.py

zhaowb/nz-bank-validate

795b8aae7c29b7fe10ae22522561899d029ef36b

[ "MIT" ]

null

import pytest from nz_bank_validate import nz_bank_validate def test_examples(): """examples from official pdf document""" assert nz_bank_validate(*'01-902-0068389-00'.split('-')) assert nz_bank_validate(*'08-6523-1954512-001'.split('-')) assert nz_bank_validate(*'26-2600-0320871-032'.split('-')) def test_invalid_numbers(): """test invalid numbers""" with pytest.raises(ValueError) as exc_info: nz_bank_validate(*'03-0001-0016527-000'.split('-')) def test_invalid_numbers_return_on_fail(): """test invalid numbers""" assert nz_bank_validate(*'03-0001-0016527-000'.split('-'), return_false_on_fail=True) is False

34.631579

98

0.717325

93

658

4.795699

0.473118

0.09417

0.219731

0.179372

0.374439

0.156951

0

0.135652

0.12614

658

18

99

36.555556

0.64

0.117021

0

0.173451

0

0.363636

1

0.272727

true

0

0.181818

0

0.454545

0

null

0

1

0

null

0

1

0

4

8819f73df04aaa1b12d64e583c0954dc563ad8c3

120

py

Python

fact3.py

PiciAkk/factorial.py

19b7027718665c63a466b5c15f888bcd5adf0069

[ "MIT" ]

null

fact3.py

PiciAkk/factorial.py

19b7027718665c63a466b5c15f888bcd5adf0069

[ "MIT" ]

null

fact3.py

PiciAkk/factorial.py

19b7027718665c63a466b5c15f888bcd5adf0069

[ "MIT" ]

null

def factorial(num): if num == 0: return 1 return num * factorial(num-1) print(factorial(int(input())))

17.142857

33

0.6

17

120

4.235294

0.588235

0.333333

0

0.033333

0.25

120

6

34

20

0.766667

0

1

0.2

false

0

0.6

0.2

1

0

null

1

0

1

0

null

0

1

0

4

88454ffa6c135913cb11f93baab7a0bbc357098f

255

py

Python

Evaluation.py

allanbatista/search_engine

478b027c64889c9e5681c7ce55a9a2276522e8fd

[ "Apache-2.0" ]

1

2019-04-22T21:45:54.000Z

Evaluation.py

allanbatista/search_engine

478b027c64889c9e5681c7ce55a9a2276522e8fd

[ "Apache-2.0" ]

null

Evaluation.py

allanbatista/search_engine

478b027c64889c9e5681c7ce55a9a2276522e8fd

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- from Tools.Config import CONFIG, ROOT_DIR from Tools.Logger import logger from Lib.Similarity.Cosine import Cosine from Tools.EvaluatorData import EvaluatorData from Lib.NLP.Preprocessor import Preprocessor

25.5

45

0.796078

36

255

5.611111

0.555556

0.133663

0

0.004444

0.117647

255

9

46

28.333333

0.893333

0.164706

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

8849d4f0e8edd0c02a812d43a77ce3b5a05475a1

380

py

Python

__init__.py

aehlke/ableton-cmd-mm1

b1fedb335c0ee421c16294a1bab832bf0895cd28

[ "MIT" ]

null

__init__.py

aehlke/ableton-cmd-mm1

b1fedb335c0ee421c16294a1bab832bf0895cd28

[ "MIT" ]

null

__init__.py

aehlke/ableton-cmd-mm1

b1fedb335c0ee421c16294a1bab832bf0895cd28

[ "MIT" ]

null

# https://forum.ableton.com/viewtopic.php?f=1&t=200513 from cmd_mm1 import CMDMM1 # you import your main program during the initialisation of your script def create_instance(c_instance): # this function tells live that you create a new midi remote script return CMDMM1(c_instance) # the initialisation result is the calling of the main function of your script.

54.285714

113

0.765789

60

380

4.783333

0.683333

0.118467

0.083624

0

0.032051

0.178947

380

6

114

63.333333

0.887821

0.7

0

1

0.333333

false

0

0.333333

1

0

null

0

1

0

null

0

1

0

1

0

4

8860c1d3e267f1982de4dacf3d827350eb55352a

174

py

Python

tourbillon/rabbitmq/__init__.py

tourbillon-python/tourbillon-rabbitmq

b829e04438ca34805579fd2295e1f5dd64605e08

[ "Apache-2.0" ]

1

2015-11-11T01:33:13.000Z

tourbillon/rabbitmq/__init__.py

tourbillon-python/tourbillon-rabbitmq

b829e04438ca34805579fd2295e1f5dd64605e08

[ "Apache-2.0" ]

null

tourbillon/rabbitmq/__init__.py

tourbillon-python/tourbillon-rabbitmq

b829e04438ca34805579fd2295e1f5dd64605e08

[ "Apache-2.0" ]

null

import sys PY34_PLUS = sys.version_info[0] == 3 and sys.version_info[1] >= 4 if PY34_PLUS: from .rabbitmq.rabbitmq import * else: from .rabbitmq2.rabbitmq import *

19.333333

65

0.706897

27

174

4.407407

0.592593

0.134454

0.235294

0

0.06338

0.183908

174

8

66

21.75

0.774648

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

4

886ca3cca618ba72aef68fdeafd07f9afaa4a315

103

py

Python

PriceIndices/__init__.py

dc-aichara/Price-Indices

31159417b5ee79d051dea0f68600f1f2f3745eda

[ "MIT" ]

11

2019-06-14T01:49:49.000Z

2021-11-16T00:36:29.000Z

PriceIndices/__init__.py

dc-aichara/Price-Indices

31159417b5ee79d051dea0f68600f1f2f3745eda

[ "MIT" ]

null

PriceIndices/__init__.py

dc-aichara/Price-Indices

31159417b5ee79d051dea0f68600f1f2f3745eda

[ "MIT" ]

4

2019-12-14T05:39:32.000Z

2021-12-12T21:12:00.000Z

from .crypto_history import MarketHistory from .price_indicators import Indices __version__ = "1.3.0"

20.6

41

0.815534

14

103

5.571429

0.857143

0

0.032967

0.116505

103

4

42

25.75

0.824176

0

0.048544

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

88852f56e6cf1c14c1d243f8f97646e78e7e74ab

208

py

Python

day54/Solution.py

silvioedu/DailyInterview

976aec8e001344931aed19f20ccffc605fe063fd

[ "MIT" ]

null

day54/Solution.py

silvioedu/DailyInterview

976aec8e001344931aed19f20ccffc605fe063fd

[ "MIT" ]

null

day54/Solution.py

silvioedu/DailyInterview

976aec8e001344931aed19f20ccffc605fe063fd

[ "MIT" ]

null

class Solution: def intersection(self, nums1, nums2): return list(set(nums1) & set(nums2)) if __name__ == '__main__': print(Solution().intersection([4, 9, 5], [9, 4, 9, 8, 4])) # [9, 4]

23.111111

62

0.581731

29

208

3.896552

0.62069

0.053097

0

0.086957

0.225962

208

8

63

26

0.614907

0.028846

0

0.04

0

1

0.2

false

0

0.2

0.6

0.2

1

0

null

0

1

0

null

0

1

0

4

8885d84a749fbd78bfe5ee88a5c57444e846df69

792

py

Python

hknweb/candidate/views/__init__.py

jyxzhang/hknweb

a01ffd8587859bf63c46213be6a0c8b87164a5c2

[ "MIT" ]

null

hknweb/candidate/views/__init__.py

jyxzhang/hknweb

a01ffd8587859bf63c46213be6a0c8b87164a5c2

[ "MIT" ]

null

hknweb/candidate/views/__init__.py

jyxzhang/hknweb

a01ffd8587859bf63c46213be6a0c8b87164a5c2

[ "MIT" ]

null

from hknweb.candidate.views.autocomplete import OfficerAutocomplete, UserAutocomplete from hknweb.candidate.views.checkoffs import MemberCheckoffView, checkoff_csv from hknweb.candidate.views.mass_add_cands import ( create_candidates_view, add_cands, check_mass_candidate_status, ) from hknweb.candidate.views.index import IndexView from hknweb.candidate.views.officer_challenge import ( officer_confirm_view, confirm_challenge, officer_review_confirmation, CandRequestView, challenge_detail_view, ) from hknweb.candidate.views.officer_portal import OfficerPortalView from hknweb.candidate.views.bitbyte import BitByteView from hknweb.candidate.views.view_by_username import candidate_portal_view_by_username from hknweb.candidate.views.summary import summary

39.6

85

0.847222

95

792

6.810526

0.378947

0.139104

0.264297

0.333849

0.095827

0

0.10101

792

19

86

41.684211

0.908708

0

1

0

true

0

0.473684

0

0.473684

0

null

0

1

0

null

0

1

0

1

0

4

8886e2c0f2b35cb4ac1161d0ded633abdbd2e482

117

py

Python

461-Hamming-Distance.py

QuenLo/leecode

ce861103949510dc54fd5cb336bd992c40748de2

[ "MIT" ]

6

2018-06-13T06:48:42.000Z

2020-11-25T10:48:13.000Z

461-Hamming-Distance.py

QuenLo/leecode

ce861103949510dc54fd5cb336bd992c40748de2

[ "MIT" ]

null

461-Hamming-Distance.py

QuenLo/leecode

ce861103949510dc54fd5cb336bd992c40748de2

[ "MIT" ]

null

class Solution: def hammingDistance(self, x, y): result = x^y return bin(result).count('1')

19.5

37

0.564103

15

117

4.4

0.8

0.060606

0

0.012346

0.307692

117

5

38

23.4

0.802469

0

0.008547

0

1

0.25

false

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

4

88adc56798a56cf5f181bfcf496e63c2d30a6cec

170

py

Python

bank_ddd_es_cqrs/accounts/infrastructure/__init__.py

Hyaxia/Bank-DDD-CQRS-ES

116e3eb3e93d549c1da53e6d506ab47667d77445

[ "MIT" ]

8

2020-10-27T09:46:20.000Z

2022-01-27T12:16:48.000Z

bank_ddd_es_cqrs/accounts/infrastructure/__init__.py

Hyaxia/Bank-DDD-CQRS-ES

116e3eb3e93d549c1da53e6d506ab47667d77445

[ "MIT" ]

null

bank_ddd_es_cqrs/accounts/infrastructure/__init__.py

Hyaxia/Bank-DDD-CQRS-ES

116e3eb3e93d549c1da53e6d506ab47667d77445

[ "MIT" ]

2

2021-05-29T08:11:48.000Z

2021-07-26T04:44:53.000Z

from .repos import ESAccountRepository, ESClientRepository from .sql import * from .event_manager import PyDispatcherEventManager from .kafka import start_kafka_consumer

34

58

0.864706

19

170

7.578947

0.631579

0

0.1

170

4

59

42.5

0.941176

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

31f02dc2dbf4af9b42a31b0f3c03c8300a8459ad

181

py

Python

app/__init__.py

IGSN/isgn-registry-mvp

ad603de8bb7c2e98704bc14c9cc39aa90eb45e99

[ "MIT" ]

null

app/__init__.py

IGSN/isgn-registry-mvp

ad603de8bb7c2e98704bc14c9cc39aa90eb45e99

[ "MIT" ]

null

app/__init__.py

IGSN/isgn-registry-mvp

ad603de8bb7c2e98704bc14c9cc39aa90eb45e99

[ "MIT" ]

1

2021-12-13T06:53:33.000Z

""" file: __init__.py (api) author: Jess Robertson, jessrobertson@icloud.com date: July 2019 description: IGSN Registry API """ from .factory import create_app

20.111111

53

0.679558

22

181

5.363636

0.954545

0

0.028571

0.226519

181

8

54

22.625

0.814286

0.701657

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

31f4a14d4e434033bb0f08e9065f83948e1c8012

789

py

Python

thualign/utils/__init__.py

bryant1410/Mask-Align

329690919d6885a8fcdf13beef6cf98ff6a2d51a

[ "BSD-3-Clause" ]

27

2021-05-11T07:24:59.000Z

2022-03-25T05:23:45.000Z

thualign/utils/__init__.py

bryant1410/Mask-Align

329690919d6885a8fcdf13beef6cf98ff6a2d51a

[ "BSD-3-Clause" ]

11

2021-10-02T05:56:01.000Z

2022-03-30T02:32:36.000Z

thualign/utils/__init__.py

bryant1410/Mask-Align

329690919d6885a8fcdf13beef6cf98ff6a2d51a

[ "BSD-3-Clause" ]

11

2021-06-04T05:23:39.000Z

2022-03-19T19:40:55.000Z

from thualign.utils.hparams import HParams from thualign.utils.inference import beam_search, argmax_decoding from thualign.utils.evaluation import evaluate from thualign.utils.checkpoint import save, latest_checkpoint, best_checkpoint from thualign.utils.scope import scope, get_scope, unique_name from thualign.utils.misc import get_global_step, set_global_step from thualign.utils.convert_params import params_to_vec, vec_to_params from thualign.utils.config import Config from thualign.utils.alignment import parse_refs, alignment_metrics, align_to_weights, weights_to_align, bidir_weights_to_align, get_extract_params, grow_diag_final from thualign.utils.hook import add_global_collection, get_global_collection, clear_global_collection, start_global_collection, stop_global_collection

78.9

163

0.882129

115

789

5.721739

0.4

0.182371

0.258359

0

0.070976

789

10

164

78.9

0.897681

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

ee1d6180cf60befc00caa3ae471b15fe38ceff93

125

py

Python

camera-python/02-picamera/take_photo.py

josemarin7/Python-OpenCV-Recognition-via-Camera

16ecd87f4d535a3c98f1f5d27abfe193d647e5ff

[ "BSD-2-Clause" ]

null

camera-python/02-picamera/take_photo.py

josemarin7/Python-OpenCV-Recognition-via-Camera

16ecd87f4d535a3c98f1f5d27abfe193d647e5ff

[ "BSD-2-Clause" ]

null

camera-python/02-picamera/take_photo.py

josemarin7/Python-OpenCV-Recognition-via-Camera

16ecd87f4d535a3c98f1f5d27abfe193d647e5ff

[ "BSD-2-Clause" ]

1

2020-01-24T21:14:20.000Z

import picamera import time camera = picamera.PiCamera() time.sleep(2) # Camera warm-up time camera.capture('test.jpg')

15.625

38

0.736

18

125

5.111111

0.611111

0.217391

0

0.009346

0.144

125

7

39

17.857143

0.850467

0.152

0

0.07767

0

1

0

false

0

0.4

0

0.4

0

1

0

null

1

0

1

0

null

0

1

0

4

ee3c724ee3f56dbe3c614e84d6c2eb0d7d53c92e

161

py

Python

apenas_django/projeto_blog/categorias/models.py

Nataliaartini/cursoPython

01dc9cafd5cef1252ca84503e7a9011bd709ef46

[ "MIT" ]

null

apenas_django/projeto_blog/categorias/models.py

Nataliaartini/cursoPython

01dc9cafd5cef1252ca84503e7a9011bd709ef46

[ "MIT" ]

null

apenas_django/projeto_blog/categorias/models.py

Nataliaartini/cursoPython

01dc9cafd5cef1252ca84503e7a9011bd709ef46

[ "MIT" ]

null

from django.db import models class Categoria(models.Model): nome_cat = models.CharField(max_lenght=50) def __str__(self): return self.nome_cat

20.125

46

0.720497

23

161

4.73913

0.782609

0.12844

0

0.015385

0.192547

161

7

47

23

0.823077

0

1

0.2

false

0

0.2

1

0

1

0

null

0

1

0

null

0

1

0

4

ee5a0f4aecb364e663b86d27daaa30fa5fec2754

214

py

Python

dev_wsgi.py

cclauss/confidant

85bf2980c47bced1fd71f7a515baa2c824f3ac39

[ "Apache-2.0" ]

4

2019-06-04T17:07:57.000Z

2020-11-20T00:02:08.000Z

dev_wsgi.py

cclauss/confidant

85bf2980c47bced1fd71f7a515baa2c824f3ac39

[ "Apache-2.0" ]

1,601

2018-09-13T14:56:27.000Z

2021-03-31T20:06:16.000Z

dev_wsgi.py

cclauss/confidant

85bf2980c47bced1fd71f7a515baa2c824f3ac39

[ "Apache-2.0" ]

5

2019-10-30T20:37:02.000Z

2021-07-04T00:45:36.000Z

from confidant.app import app if __name__ == '__main__': app.run( host=app.config.get('HOST', '127.0.0.1'), port=app.config.get('PORT', 5000), debug=app.config.get('DEBUG', True) )

23.777778

49

0.584112

31

214

3.774194

0.580645

0.230769

0.307692

0

0.060606

0.228972

214

8

50

26.75

0.648485

0

0.140187

0

1

0

true

0

0.142857

0

0.142857

0

null

1

0

1

0

null

0

1

0

4

ee600a96abd6b1616c8b75e0f644d2a2a56a6ab5

92

py

Python

chapter_01/Prolog/fib.py

rkneusel9/StrangeCodeBook

70ed93396885a5cbf2f4d774d9aa30feca83e46d

[ "MIT" ]

null

chapter_01/Prolog/fib.py

rkneusel9/StrangeCodeBook

70ed93396885a5cbf2f4d774d9aa30feca83e46d

[ "MIT" ]

null

chapter_01/Prolog/fib.py

rkneusel9/StrangeCodeBook

70ed93396885a5cbf2f4d774d9aa30feca83e46d

[ "MIT" ]

null

def fib(n): if (n <= 2): return 1 else: return fib(n-1) + fib(n-2)

13.142857

34

0.413043

16

92

2.375

0.5

0.315789

0

0.074074

0.413043

92

6

35

15.333333

0.62963

0

1

0.2

false

0

0.6

0

1

0

null

1

0

1

0

null

0

1

0

4

ee61e333f489f2c522b6757913b2afa6ccfe5459

236

py

Python

adapters/tuya/TS0013.py

russdan/domoticz-zigbee2mqtt-plugin

d47895eab44bc87fc19ce151698d2afe9554fadc

[ "MIT" ]

146

2018-09-19T11:38:48.000Z

2022-03-21T11:54:12.000Z

adapters/tuya/TS0013.py

russdan/domoticz-zigbee2mqtt-plugin

d47895eab44bc87fc19ce151698d2afe9554fadc

[ "MIT" ]

783

2018-09-28T17:07:14.000Z

2022-03-31T10:18:27.000Z

adapters/tuya/TS0013.py

russdan/domoticz-zigbee2mqtt-plugin

d47895eab44bc87fc19ce151698d2afe9554fadc

[ "MIT" ]

147

2018-09-25T18:39:51.000Z

2022-03-01T19:31:27.000Z

from adapters.tuya.TS0012 import TS0012 from devices.switch.on_off_switch import OnOffSwitch class TS0013(TS0012): def __init__(self): super().__init__() self.devices.append(OnOffSwitch('center', 'state_center'))

23.6

66

0.728814

29

236

5.551724

0.655172

0.099379

0

0.080808

0.161017

236

9

67

26.222222

0.732323

0

0.076596

0

1

0.166667

false

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

ee6251a1580ced0e9c2a2175b733163975496a3e

4,128

py

Python

src/diffpy/tests/integration_test.py

diffpy/fourigui

61e9157bd0d84df307f85f9d674e9f39354f1632

[ "BSD-3-Clause" ]

null

src/diffpy/tests/integration_test.py

diffpy/fourigui

61e9157bd0d84df307f85f9d674e9f39354f1632

[ "BSD-3-Clause" ]

null

src/diffpy/tests/integration_test.py

diffpy/fourigui

61e9157bd0d84df307f85f9d674e9f39354f1632

[ "BSD-3-Clause" ]

3

2021-12-23T16:13:45.000Z

2021-12-23T20:42:49.000Z

import unittest import numpy as np import h5py from ..fourigui.fourigui import Gui class TestGui(unittest.TestCase): def setUp(self): # set up gui self.test_gui = Gui() # set up test data self.test_sofq = h5py.File('diffpy/tests/testdata/sofq.h5')['data'] self.test_sofq_cut_10to40px = h5py.File('diffpy/tests/testdata/sofq_cut_10to40px.h5')['data'] self.test_sofq_cut_15to35px = h5py.File('diffpy/tests/testdata/sofq_cut_15to35px.h5')['data'] self.test_gofr = h5py.File('diffpy/tests/testdata/gofr.h5')['data'] self.test_gofr_cut_10to40px = h5py.File('diffpy/tests/testdata/gofr_from_sofq_cut_10to40px.h5')['data'] self.test_gofr_cut_15to35px = h5py.File('diffpy/tests/testdata/gofr_from_sofq_cut_15to35px.h5')['data'] def test_load_cube_testdataset1(self): # given self.test_gui.filename_entry.delete(0, 'end') self.test_gui.filename_entry.insert(0, 'diffpy/tests/testdata/sofq.h5') # when self.test_gui.load_cube() result = self.test_gui.cube # then self.assertTrue(np.allclose(result, self.test_sofq)) def test_load_cube_testdataset2(self): # given self.test_gui.filename_entry.delete(0, 'end') self.test_gui.filename_entry.insert(0, 'diffpy/tests/testdata/sofq_cut_10to40px.h5') # when self.test_gui.load_cube() result = self.test_gui.cube # then self.assertTrue(np.allclose(np.nan_to_num(result), np.nan_to_num(self.test_sofq_cut_10to40px))) def test_load_cube_testdataset3(self): # given self.test_gui.filename_entry.delete(0, 'end') self.test_gui.filename_entry.insert(0, 'diffpy/tests/testdata/sofq_cut_15to35px.h5') # when self.test_gui.load_cube() result = self.test_gui.cube # then self.assertTrue(np.allclose(np.nan_to_num(result), np.nan_to_num(self.test_sofq_cut_15to35px))) def test_fft_testdataset1(self): # given self.test_gui.plot_plane = lambda *a, **b: () # overwrite plot_plane which requires not initialized attribute im self.test_gui.cube = self.test_sofq # when self.test_gui.fft() result = self.test_gui.cube # then self.assertTrue(np.allclose(result, self.test_gofr)) def test_fft_testdataset2(self): # given self.test_gui.plot_plane = lambda *a, **b: () # overwrite plot_plane which requires not initialized attribute im self.test_gui.cube = self.test_sofq_cut_10to40px # when self.test_gui.fft() result = self.test_gui.cube # then self.assertTrue(np.allclose(result, self.test_gofr_cut_10to40px)) def test_fft_testdataset3(self): # given self.test_gui.plot_plane = lambda *a, **b: () # overwrite plot_plane which requires not initialized attribute im self.test_gui.cube = self.test_sofq_cut_15to35px # when self.test_gui.fft() result = self.test_gui.cube # then self.assertTrue(np.allclose(result, self.test_gofr_cut_15to35px)) def test_applycutoff_range1(self): # given self.test_gui.plot_plane = lambda *a, **b: () self.test_gui.cube = self.test_sofq self.test_gui.qminentry.insert(0, '10') self.test_gui.qmaxentry.insert(0, '40') # when self.test_gui.applycutoff() result = self.test_gui.cube # then self.assertTrue(np.allclose(np.nan_to_num(result), np.nan_to_num(self.test_sofq_cut_10to40px))) def test_applycutoff_range2(self): # given self.test_gui.plot_plane = lambda *a, **b: () self.test_gui.cube = self.test_sofq self.test_gui.qminentry.insert(0, '15') self.test_gui.qmaxentry.insert(0, '35') # when self.test_gui.applycutoff() result = self.test_gui.cube # then self.assertTrue(np.allclose(np.nan_to_num(result), np.nan_to_num(self.test_sofq_cut_15to35px))) if __name__ == '__main__': unittest.main()

33.290323

120

0.657946

570

4,128

4.491228

0.129825

0.175

0.158984

0.076172

0.883594

0.859375

0.76875

0.697656

0.664844

0

0.03577

0.227955

4,128

123

121

33.560976

0.767493

0.084787

0

0.462687

0

0.108858

0.095784

0

0.119403

1

0.134328

false

0

0.059701

0

0.208955

0

null

0

1

0

1

0

null

0

4

ee7c32e9907aafec238f11783f4dd090dd3c3651

141

py

Python

apps/role/handler.py

Freen247/dj_blog

f7df1a7b101d41835a334b78cddf3570968799e4

[ "Apache-2.0" ]

51

2020-09-28T09:41:03.000Z

2022-03-19T08:25:19.000Z

apps/role/handler.py

Freen247/dj_blog

f7df1a7b101d41835a334b78cddf3570968799e4

[ "Apache-2.0" ]

17

2020-09-24T10:26:40.000Z

2022-03-12T00:49:05.000Z

apps/role/handler.py

Freen247/django_blogback

f7df1a7b101d41835a334b78cddf3570968799e4

[ "Apache-2.0" ]

11

2020-10-10T01:23:09.000Z

2022-02-08T17:06:09.000Z

#!/usr/bin/python # -*- coding: utf-8 -*- # __author__ : stray_camel # __description__ : role # __REFERENCES__ : # __date__: 2020/10/16 21

17.625

26

0.666667

17

141

4.529412

1

0

0.09322

0.163121

141

7

27

20.142857

0.559322

0.907801

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

ee8e684b6e892d3f3395755e702cd119973d1453

439

py

Python

tests/__init__.py

defgsus/elastipy

c1144ab39fa70571ba0e02ccf41d380a8a1bd730

[ "Apache-2.0" ]

1

2021-02-17T17:50:28.000Z

tests/__init__.py

defgsus/elastipy

c1144ab39fa70571ba0e02ccf41d380a8a1bd730

[ "Apache-2.0" ]

2

2021-03-29T02:09:41.000Z

2022-03-01T20:09:48.000Z

tests/__init__.py

netzkolchose/elastipy

c1144ab39fa70571ba0e02ccf41d380a8a1bd730

[ "Apache-2.0" ]

null

from .test_agg_housing import * from .test_bool import * from .test_doc_ext import * from .test_doc_helper import * from .test_exporter import * from .test_generator import * from .test_heatmap import * from .test_json import * from .test_query_body import * from .test_query_housing import * from .test_response import * from .test_search import * from .test_search_request import * from .test_table import * from .test_wildcard import *

27.4375

34

0.794989

66

439

4.969697

0.30303

0.365854

0.597561

0.128049

0

0.136674

439

15

35

29.266667

0.865435

0

1

0

true

0

1

0

1

0

null

1

0

null

0

1

0

1

0

4

c9b81f09972467031702ea9e0268f67907434c48

217

py

Python

basic/variable_test.py

sanikamal/awesome-python-examples

998dd2b1ef31714f20f6e6aa061ac1f303026e84

[ "MIT" ]

1

2020-07-07T23:36:51.000Z

basic/variable_test.py

sanikamal/awesome-python-examples

998dd2b1ef31714f20f6e6aa061ac1f303026e84

[ "MIT" ]

null

basic/variable_test.py

sanikamal/awesome-python-examples

998dd2b1ef31714f20f6e6aa061ac1f303026e84

[ "MIT" ]

null

""" Created by Sani Kamal """ print("hello Rashmi") variablename = 1; print (variablename) variablename2 = 2; variable3 = variablename + variablename2 print (variable3)

18.083333

44

0.580645

18

217

7

0.666667

0.396825

0

0.041096

0.327189

217

11

45

19.727273

0.821918

0

0.066667

0

null

0

null

0.5

1

0

null

1

0

null

0

1

0

1

0

4

c9ba834056a8519b7c1744c6f2bf6724bc877345

61

py

Python

ex1/evento.py

renzon/oo-inpe

1b33939974f998badbeebd7bfe182070e77ef98f

[ "MIT" ]

null

ex1/evento.py

renzon/oo-inpe

1b33939974f998badbeebd7bfe182070e77ef98f

[ "MIT" ]

null

ex1/evento.py

renzon/oo-inpe

1b33939974f998badbeebd7bfe182070e77ef98f

[ "MIT" ]

null

class Evento(): def __init__(self, s): self.s = s

20.333333

26

0.540984

9

61

3.222222

0.666667

0.344828

0

0.311475

61

3

27

20.333333

0.690476

0

1

0.333333

false

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

4

a0084b228a6c08cb47fe350d270a6dc7da3aa298

38

py

Python

src/rcbu/client/__init__.py

BenjamenMeyer/cloudfiles-viewer

909cd3e976a1acb5d3fcc755a8c89eec700e14fc

[ "Apache-2.0" ]

1

2017-04-14T13:54:20.000Z

src/rcbu/client/__init__.py

BenjamenMeyer/cloudfiles-viewer

909cd3e976a1acb5d3fcc755a8c89eec700e14fc

[ "Apache-2.0" ]

null

src/rcbu/client/__init__.py

BenjamenMeyer/cloudfiles-viewer

909cd3e976a1acb5d3fcc755a8c89eec700e14fc

[ "Apache-2.0" ]

null

""" RCBU API Client Functionality """

9.5

29

0.684211

4

38

6.5

1

0

0.157895

38

3

30

12.666667

0.8125

0.763158

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

4e7421d0c007409cda77330db43d89c1e7e3fd5a

153

py

Python

Mundo 1/ex30.py

Silvalhd/Aulas-Python

77ddc0e276accff4bfef9d474f80d0ad399ef74f

[ "MIT" ]

null

Mundo 1/ex30.py

Silvalhd/Aulas-Python

77ddc0e276accff4bfef9d474f80d0ad399ef74f

[ "MIT" ]

null

Mundo 1/ex30.py

Silvalhd/Aulas-Python

77ddc0e276accff4bfef9d474f80d0ad399ef74f

[ "MIT" ]

null

num = int(input('Digite um número:')) if int(num) % 2 == 0: print('O número {} é par'.format(num)) else: print('O número {} é ímpar'.format(num))

30.6

44

0.594771

26

153

3.5

0.615385

0.131868

0.263736

0.285714

0

0.016129

0.189542

153

5

44

30.6

0.717742

0

0.344156

0

1

0

false

0

0.4

1

0

null

0

1

0

1

0

null

0

4

4e7584ac1438e422a400bb311314107402444b7f

67

py

Python

modules/event_driven_fd/__init__.py

sspbft/BFTList

d73aee5bd0ab05995509f0fcfaf3c0a5944e617a

[ "MIT" ]

6

2019-11-12T01:45:55.000Z

2022-03-18T10:57:21.000Z

modules/event_driven_fd/__init__.py

practicalbft/BFTList

d73aee5bd0ab05995509f0fcfaf3c0a5944e617a

[ "MIT" ]

4

2019-02-14T10:57:09.000Z

2019-03-21T15:22:08.000Z

modules/event_driven_fd/__init__.py

sspbft/BFTList

d73aee5bd0ab05995509f0fcfaf3c0a5944e617a

[ "MIT" ]

1

2019-04-04T15:09:33.000Z

"""Package containing the event-driven failure detector module."""

33.5

66

0.776119

8

67

6.5

1

0

0.104478

67

1

67

0.866667

0.895522

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

4e85595dbf50903dd14d0bd39ba59087309e0c6a

7,530

py

Python

src/inverse_text_normalization/mr/itn_tests/tests_itn_mr.py

yashiagar1999/indict_punc

8697ac5a5245c7e0d35b0777b1dc6fb1b8d6d525

[ "MIT" ]

15

2021-07-30T18:18:47.000Z

2022-02-14T09:04:19.000Z

src/inverse_text_normalization/mr/itn_tests/tests_itn_mr.py

yashiagar1999/indict_punc

8697ac5a5245c7e0d35b0777b1dc6fb1b8d6d525

[ "MIT" ]

1

2021-12-15T12:42:12.000Z

2022-02-15T05:33:00.000Z

src/inverse_text_normalization/mr/itn_tests/tests_itn_mr.py

yashiagar1999/indict_punc

8697ac5a5245c7e0d35b0777b1dc6fb1b8d6d525

[ "MIT" ]

4

2021-07-30T10:03:38.000Z

2021-12-01T14:46:54.000Z

''' Please move this file to src/ before running the tests ''' import unittest from inverse_text_normalization.run_predict import inverse_normalize_text class MarathiInverseTextNormalization(unittest.TestCase): def test_two_digit_numbers_are_converted_to_numerals(self): data = ['रीटाला सोळा मांजरी आहेत'] expected_output = ['रीटाला 16 मांजरी आहेत'] inverse_normalizer_prediction = inverse_normalize_text(data, lang='mr') inverse_normalizer_prediction = [sent.replace('\r', '') for sent in inverse_normalizer_prediction] self.assertEqual(expected_output, inverse_normalizer_prediction) def test_hundreds_are_converted_to_numerals_with_correct_grammar_only(self): data = [ 'चार शंभर', 'शंभर', 'शे', 'चारशे' ] expected_output = [ '4 100', # we want चारशे for 400. 'चार शंभर' is incorrect usage '100', # शंभर implies 100 'शे', # शे in itself doesn't imply 100. It has to come with a number '400' # correct usage ] inverse_normalizer_prediction = inverse_normalize_text(data, lang='mr') inverse_normalizer_prediction = [sent.replace('\r', '') for sent in inverse_normalizer_prediction] self.assertEqual(expected_output, inverse_normalizer_prediction) def test_hundreds_are_converted_to_numerals(self): data = [ 'रीटाकडे नऊशे वीस मांजरी आहेत', 'दोनशे एकोणीस', 'दोन शे एकोणीस' # space between two and hundred ] expected_output = [ 'रीटाकडे 920 मांजरी आहेत', '219', '219' ] inverse_normalizer_prediction = inverse_normalize_text(data, lang='mr') inverse_normalizer_prediction = [sent.replace('\r', '') for sent in inverse_normalizer_prediction] self.assertEqual(expected_output, inverse_normalizer_prediction) def test_thousands_are_converted_to_numerals(self): data = ['एक हजार चारशे वीस', 'बारा हजार सातशे तीन', 'पंधराशे', 'पंधराशे सात', 'पंधरा शे सात', 'अठरा हजार तीनशे नव्व्याण्णव'] expected_output = ['1,420', '12,703', '1,500', '1,507', '1,507', '18,399'] inverse_normalizer_prediction = inverse_normalize_text(data, lang='mr') inverse_normalizer_prediction = [sent.replace('\r', '') for sent in inverse_normalizer_prediction] self.assertEqual(expected_output, inverse_normalizer_prediction) def test_lakhs_are_converted_to_formatted_numerals(self): data = ['चार लाख चारशे चार', 'चार लक्ष चारशे चार', # alternate spelling 'बारा लाख वीस हजार सातशे पंधरा', 'बारा लाख वीस हज़ार सातशे पंधरा'] # alternate spelling expected_output = ['4,00,404', '4,00,404', '12,20,715', '12,20,715'] inverse_normalizer_prediction = inverse_normalize_text(data, lang='mr') inverse_normalizer_prediction = [sent.replace('\r', '') for sent in inverse_normalizer_prediction] self.assertEqual(expected_output, inverse_normalizer_prediction) def test_single_and_double_digit_crores_are_converted_to_formatted_numerals(self): data = ['चार कोटी', 'एकवीस लाख', 'चार कोटी एकवीस लाख', 'चार कोटी एकवीस लाख चार हजार चारशे चार', 'बत्तीस कोटी एकवीस लाख सदतीस हजार चारशे बारा', 'बत्तीस कोटी दोनशे'] expected_output = ['4,00,00,000', '21,00,000', '4,21,00,000', '4,21,04,404', '32,21,37,412', '32,00,00,200'] inverse_normalizer_prediction = inverse_normalize_text(data, lang='mr') inverse_normalizer_prediction = [sent.replace('\r', '') for sent in inverse_normalizer_prediction] self.assertEqual(expected_output, inverse_normalizer_prediction) def test_spoken_form_of_single_digit_thousands_for_years_are_converted(self): # TODO: don't format (comma) for years data = ['वर्ष एकोणीसशे चौर्‍याहत्तर', 'वर्ष एकोणीसशे चौहत्तर', 'एक हजार नऊशे चौहत्तर लेख आहेत'] expected_output = ['वर्ष 1,974', 'वर्ष 1,974', '1,974 लेख आहेत'] inverse_normalizer_prediction = inverse_normalize_text(data, lang='mr') inverse_normalizer_prediction = [sent.replace('\r', '') for sent in inverse_normalizer_prediction] self.assertEqual(expected_output, inverse_normalizer_prediction) def test_variations_of_hundreds_and_thousands_of_crores_or_lakhs_are_converted(self): data = ['चार हजार चारशे कोटी', 'दोनशे कोटी', 'चोवीस हजार कोटी', 'चार हजार चारशे लाख'] expected_output = ['44,00,00,00,000', '2,00,00,00,000', '2,40,00,00,00,000', '44,00,00,000'] inverse_normalizer_prediction = inverse_normalize_text(data, lang='mr') inverse_normalizer_prediction = [sent.replace('\r', '') for sent in inverse_normalizer_prediction] self.assertEqual(expected_output, inverse_normalizer_prediction) def test_spoken_variations_of_hundreds_and_thousands_of_crores_or_lakhs_are_converted(self): data = ['एकोणीसशे एकोणीस कोटी', 'सत्तावीसशे कोटी', 'छत्तीसशे लाख'] expected_output = ['19,19,00,00,000', '27,00,00,00,000', '36,00,00,000'] inverse_normalizer_prediction = inverse_normalize_text(data, lang='mr') inverse_normalizer_prediction = [sent.replace('\r', '') for sent in inverse_normalizer_prediction] self.assertEqual(expected_output, inverse_normalizer_prediction) def test_simple_lakhs_of_crores_are_converted(self): data = ['चार लाख कोटी'] expected_output = ['40,00,00,00,00,000'] inverse_normalizer_prediction = inverse_normalize_text(data, lang='mr') inverse_normalizer_prediction = [sent.replace('\r', '') for sent in inverse_normalizer_prediction] self.assertEqual(expected_output, inverse_normalizer_prediction) def test_number_after_decimals_are_not_formatted_with_commas(self): data = ['एकोणतीस दशांश चार तीन', 'शून्य दशांश नऊ तीन चार पाच'] expected_output = ['29.43', '0.9345'] inverse_normalizer_prediction = inverse_normalize_text(data, lang='mr') inverse_normalizer_prediction = [sent.replace('\r', '') for sent in inverse_normalizer_prediction] self.assertEqual(expected_output, inverse_normalizer_prediction) def test_spoken_words_like_only_crore_lakh_and_thousand_are_converted_to_corresponding_numerals(self): data = ['त्याला हजार द्या', 'त्याला कोटी द्या', 'त्याला लाख द्या', 'शंभर'] expected_output = ['त्याला 1,000 द्या', 'त्याला 1,00,00,000 द्या', 'त्याला 1,00,000 द्या', '100'] inverse_normalizer_prediction = inverse_normalize_text(data, lang='mr') inverse_normalizer_prediction = [sent.replace('\r', '') for sent in inverse_normalizer_prediction] self.assertEqual(expected_output, inverse_normalizer_prediction) def test_money_is_converted_to_corresponding_numerals(self): data = ['त्याला एक हजार रुपये द्या', 'त्याला एक हजार चारशे एकोणतीस डॉलर द्या'] expected_output = ['त्याला ₹ 1,000 द्या', 'त्याला $ 1,429 द्या'] inverse_normalizer_prediction = inverse_normalize_text(data, lang='mr') inverse_normalizer_prediction = [sent.replace('\r', '') for sent in inverse_normalizer_prediction] self.assertEqual(expected_output, inverse_normalizer_prediction) if __name__ == '__main__': unittest.main()

42.784091

106

0.641301

1,405

7,530

3.448399

0.143061

0.182456

0.289783

0.091228

0.777503

0.755624

0.7129

0.69515

0.677193

0.665222

0

0.045377

0.218592

7,530

175

107

43.028571

0.728246

0.040505

0

0.39823

0

0.044248

0.179057

0

0.005714

0.115044

1

0.115044

false

0

0.017699

0

0.141593

0

null

0

1

0

1

0

1

0

null

0

4

4e8e948a0b361b298999e556b9c2a44e0e455acf

289

py

Python

vaultmanager/cli.py

leboncoin/vault-manager

3457e8c2487a0d9cba8362208df91b77024d7782

[ "MIT" ]

6

2018-07-19T14:11:09.000Z

2020-01-27T14:43:56.000Z

vaultmanager/cli.py

leboncoin/vault-manager

3457e8c2487a0d9cba8362208df91b77024d7782

[ "MIT" ]

null

vaultmanager/cli.py

leboncoin/vault-manager

3457e8c2487a0d9cba8362208df91b77024d7782

[ "MIT" ]

3

2020-02-10T08:46:58.000Z

2020-09-15T16:03:33.000Z

#!/usr/bin/env python import os import inspect try: from VaultManager import VaultManager except ImportError: from vaultmanager.VaultManager import VaultManager def main(): VaultManager(os.path.split(inspect.getfile(VaultManager))[0]) if __name__ == "__main__": main()

18.0625

65

0.743945

34

289

6.088235

0.588235

0.154589

0.289855

0

0.004098

0.155709

289

15

66

19.266667

0.844262

0.069204

0

0.029851

0

1

0.1

true

0

0.5

0

0.6

0

null

0

1

0

null

0

1

0

1

0

1

0

4

4ea981795a66f351a3b7e0eaad94ed877267dbd4

219

py

Python

docs/lib/DevLibrary.py

serra/impact-spheres-drive-monitor

2e1e84c962538af9a0bea293a98b23c1ae7973c9

[ "MIT" ]

null

docs/lib/DevLibrary.py

serra/impact-spheres-drive-monitor

2e1e84c962538af9a0bea293a98b23c1ae7973c9

[ "MIT" ]

10

2017-11-04T10:01:31.000Z

2018-05-18T13:56:07.000Z

docs/lib/DevLibrary.py

serra/impact-spheres-drive-monitor

2e1e84c962538af9a0bea293a98b23c1ae7973c9

[ "MIT" ]

null

import pkg_resources class DevLibrary: def __init__(sefl): pass def all_dependencies_should_be_installed(self): with open('requirements.txt') as reqs: pkg_resources.require(reqs)

18.25

51

0.680365

26

219

5.346154

0.846154

0.172662

0

0.246575

219

11

52

19.909091

0.842424

0

0.073059

0

1

0.285714

false

0.142857

0

0.571429

0

1

0

null

0

null

0

1

0

1

0

1

0

4

4eb0163be704048ef7e7d81be1677d1ddf22a0d8

129

py

Python

Retired/Which Millennia is It.py

mwk0408/codewars_solutions

9b4f502b5f159e68024d494e19a96a226acad5e5

[ "MIT" ]

6

2020-09-03T09:32:25.000Z

2020-12-07T04:10:01.000Z

Retired/Which Millennia is It.py

mwk0408/codewars_solutions

9b4f502b5f159e68024d494e19a96a226acad5e5

[ "MIT" ]

1

2021-12-13T15:30:21.000Z

Retired/Which Millennia is It.py

mwk0408/codewars_solutions

9b4f502b5f159e68024d494e19a96a226acad5e5

[ "MIT" ]

null

def this_millennia_or_last(date): prefix, year=date[:-2], date[-2:] return f"{prefix}{19 if int(year)>=50 else 20}{year}"

43

57

0.658915

23

129

3.565217

0.73913

0.121951

0

0.072072

0.139535

129

3

57

43

0.666667

0

0.330769

0

1

0.333333

false

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

4ece1aee742f93737a4b2715761a798a28dd79cf

47

py

Python

examples/web/the_ugly_blog/steps/1.py

Bnz-0/chad

7bfea262f0a343d70a337608d5e7b9ad7dd52151

[ "MIT" ]

null

examples/web/the_ugly_blog/steps/1.py

Bnz-0/chad

7bfea262f0a343d70a337608d5e7b9ad7dd52151

[ "MIT" ]

null

examples/web/the_ugly_blog/steps/1.py

Bnz-0/chad

7bfea262f0a343d70a337608d5e7b9ad7dd52151

[ "MIT" ]

null

check_solution("bash test_solution.sh", flag)

15.666667

45

0.787234

7

47

5

0.857143

0

0.085106

47

2

46

23.5

0.813953

0

0.456522

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

4

4ecf4ad83a285c2892aec04394c4e28164728aac

32

py

Python

emulation_system/tests/command_creators/__init__.py

Opentrons/ot3-emulator

90fad37b54dc3b003732220e630185de1a1d5dfd

[ "Apache-2.0" ]

3

2022-02-15T23:58:01.000Z

2022-03-17T19:32:15.000Z

emulation_system/tests/command_creators/__init__.py

Opentrons/opentrons-emulation

aee3b362ef47190b35a1a99d040f5d87800e740b

[ "Apache-2.0" ]

23

2021-11-17T17:55:22.000Z

2022-03-29T19:15:20.000Z

emulation_system/tests/command_creators/__init__.py

Opentrons/opentrons-emulation

aee3b362ef47190b35a1a99d040f5d87800e740b

[ "Apache-2.0" ]

null

"""command_creators package."""

16

31

0.71875

3

32

7.333333

1

0

0.0625

32

1

32

0.733333

0.78125

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

14e5990b7456abde3df6d4c0ae7327c7c2c483f2

98

py

Python

AI_News/apps/app_funthing/apps.py

puxiaoshuai/News

fcfe09883e489777dfbcc7a882bf52aa195054f1

[ "MIT" ]

null

AI_News/apps/app_funthing/apps.py

puxiaoshuai/News

fcfe09883e489777dfbcc7a882bf52aa195054f1

[ "MIT" ]

3

2019-01-15T09:34:49.000Z

2021-06-10T21:07:06.000Z

AI_News/apps/app_funthing/apps.py

puxiaoshuai/News

fcfe09883e489777dfbcc7a882bf52aa195054f1

[ "MIT" ]

1

2019-01-15T09:35:31.000Z

from django.apps import AppConfig class AppFunthingConfig(AppConfig): name = 'app_funthing'

16.333333

35

0.77551

11

98

6.818182

0.909091

0

0.153061

98

5

36

19.6

0.903614

0

0.122449

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

0903d23e39c69c82a1ee9c1334a837a70ee23445

111

py

Python

b2/config.py

yifanwu/b2

3dc11605a365a28ed07c8a2b253ff87fa43e549d

[ "Apache-2.0" ]

41

2020-07-16T21:33:11.000Z

2021-12-12T13:21:34.000Z

b2/config.py

ucbrise/b2

69bb1b5a40e895e91829404e2f1c46d81ff54ae2

[ "Apache-2.0" ]

4

2020-08-18T22:05:21.000Z

2021-04-27T07:59:40.000Z

b2/config.py

yifanwu/midas

3dc11605a365a28ed07c8a2b253ff87fa43e549d

[ "Apache-2.0" ]

4

2020-07-08T15:27:50.000Z

2021-05-12T17:41:08.000Z

class MidasConfig(object): def __init__(self, linked: bool): self.linked = linked IS_DEBUG = True

18.5

37

0.675676

14

111

5

0.785714

0.285714

0

0.225225

111

6

38

18.5

0.813953

0

1

0.25

false

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

090c269665b91af144f8e5e1368dd4c8fb1cf96a

265

py

Python

mocha/signals.py

mardix/Mocha

bce481cb31a0972061dd99bc548701411dcb9de3

[ "MIT" ]

7

2017-05-14T02:21:48.000Z

2020-11-07T20:12:01.000Z

mocha/signals.py

mardix/Mocha

bce481cb31a0972061dd99bc548701411dcb9de3

[ "MIT" ]

6

2019-11-04T02:52:17.000Z

2021-05-06T19:00:33.000Z

mocha/signals.py

mardix/Mocha

bce481cb31a0972061dd99bc548701411dcb9de3

[ "MIT" ]

null

# -*- coding: utf-8 -*- from . import decorators as deco @deco.emit_signal() def upload_file(change): return change() @deco.emit_signal() def delete_file(change): return change() @deco.emit_signal() def send_mail(change, **kwargs): return change()

15.588235

32

0.683019

36

265

4.861111

0.527778

0.137143

0.24

0.291429

0.445714

0

0.004525

0.166038

265

16

33

16.5625

0.78733

0.079245

0

0.6

0

1

0.3

false

0

0.1

0.3

0.7

0

null

0

1

0

null

0

1

0

1

0

4

0918eb309846160b0189b5a6831a8b2f23578581

136

py

Python

pilapse/logger.py

git-akihakune/pilapse

2e2cb99e074b5b234c3d8816d421e3d24909e2e6

[ "MIT" ]

null

pilapse/logger.py

git-akihakune/pilapse

2e2cb99e074b5b234c3d8816d421e3d24909e2e6

[ "MIT" ]

null

pilapse/logger.py

git-akihakune/pilapse

2e2cb99e074b5b234c3d8816d421e3d24909e2e6

[ "MIT" ]

null

#!/usr/bin/env python3 from .arguments import arguments from .interface import logger logging = logger(verbose=arguments['--verbose'])

22.666667

48

0.772059

17

136

6.176471

0.647059

0

0.008197

0.102941

136

6

48

22.666667

0.852459

0.154412

0

0.078261

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

0958761a264c5764bd76b78ed887155e16b45dc0

289

py

Python

commonutils/color.py

NumenCyberLabs/bypass403

9b9734937a6f43c56ab939e915a43f2d8a3078b5

[ "MIT" ]

2

2021-10-14T18:26:27.000Z

2021-10-21T03:22:44.000Z

commonutils/color.py

NumenCyberLabs/bypass403

9b9734937a6f43c56ab939e915a43f2d8a3078b5

[ "MIT" ]

null

commonutils/color.py

NumenCyberLabs/bypass403

9b9734937a6f43c56ab939e915a43f2d8a3078b5

[ "MIT" ]

null

# coding:utf-8 def redprint(str): print("\033[1;31m {0}\033[0m".format(str)) def greenprint(str): print("\033[1;32m {0}\033[0m".format(str)) def blueprint(str): print("\033[1;34m {0}\033[0m".format(str)) def yellowprint(str): print("\033[1;33m {0}\033[0m".format(str))

20.642857

46

0.622837

51

289

3.529412

0.372549

0.177778

0.244444

0.266667

0.383333

0.3

0

0.179283

0.131488

289

13

47

22.230769

0.537849

0.041522

0

0.305455

0

1

0.5

false

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

4

eebe2cc357b75e4d1564479138951b80ab9210ae

122

py

Python

ipywidgets/__init__.py

jakevdp/ipywidgets-unsupported

f45415931833d99bb069992a4b428b89a9ac905d

[ "BSD-3-Clause" ]

23

2016-03-08T13:46:06.000Z

2021-11-16T11:47:57.000Z

ipywidgets/__init__.py

jeffhussmann/ipywidgets-unsupported

a1e889ed6af0e3607dfda55a5f3404140d1f56c2

[ "BSD-3-Clause" ]

5

2015-01-27T12:31:40.000Z

2015-09-23T06:42:12.000Z

ipywidgets/__init__.py

jeffhussmann/ipywidgets-unsupported

a1e889ed6af0e3607dfda55a5f3404140d1f56c2

[ "BSD-3-Clause" ]

7

2016-03-08T14:15:47.000Z

2021-08-29T03:46:16.000Z

__version__ = "0.0.1" from .interact import StaticInteract from .widgets import RadioWidget, RangeWidget, DropDownWidget

24.4

61

0.811475

14

122

6.785714

0.785714

0

0.027778

0.114754

122

4

62

30.5

0.851852

0

0.040984

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

eecb91332c330ac739addf74d5d192d4bf7174a7

261

py

Python

situacion_problema_1/palindorme.py

rafaeljimenez01/advanced-algos-project

95e09267761372de95074617c4b76f9287c54e9f

[ "MIT" ]

null

situacion_problema_1/palindorme.py

rafaeljimenez01/advanced-algos-project

95e09267761372de95074617c4b76f9287c54e9f

[ "MIT" ]

null

situacion_problema_1/palindorme.py

rafaeljimenez01/advanced-algos-project

95e09267761372de95074617c4b76f9287c54e9f

[ "MIT" ]

1

2021-09-09T01:28:16.000Z

class Palindrome: def __init__(self, word, start, end): self.word = word self.start = int(start / 2) self.end = int(end / 2) def __str__(self): return self.word + " " + str(self.start) + " " + str(self.end) + "\n"

32.625

77

0.524904

34

261

3.794118

0.382353

0.186047

0

0.011236

0.318008

261

8

77

32.625

0.713483

0

0.015686

0

1

0.285714

false

0

0.142857

0.571429

0

null

0

1

0

null

0

1

0

1

0

4

eed6a07a200f0460162ed8c176e96edd24bb33a4

624

py

Python

metric_learn/eye/EyeAlgorithm.py

johncollins/metric-learn

01746ec3ce9f7039900cd50be48ef6fa0d3ed1b9

[ "BSD-2-Clause" ]

4

2015-02-02T21:49:27.000Z

2018-07-05T04:16:50.000Z

metric_learn/eye/EyeAlgorithm.py

johncollins/metric-learn

01746ec3ce9f7039900cd50be48ef6fa0d3ed1b9

[ "BSD-2-Clause" ]

null

metric_learn/eye/EyeAlgorithm.py

johncollins/metric-learn

01746ec3ce9f7039900cd50be48ef6fa0d3ed1b9

[ "BSD-2-Clause" ]

null

""" @date: 5/27/2013 @author: John Collins EyeAlgorithm ------------------- Learn the identity matrix. For testing and comparison. """ import numpy as np from ..MetricLearningAlgorithm import MetricLearningAlgorithm class EyeAlgorithm(MetricLearningAlgorithm): """ Learn the identity matrix. For testing and comparison. """ def set_default_parameters(self): pass def run_algorithm_specific_setup(self): pass def learn_metric(self): """ "Learn" the identity matrix """ return np.eye(np.array(self.X).shape[1])

20.8

62

0.613782

65

624

5.8

0.615385

0.06366

0.127321

0.175066

0.238727

0

0.017544

0.269231

624

29

63

21.517241

0.809211

0.336538

0

0.222222

0

1

0.333333

false

0.222222

0

0.777778

0

null

0

1

0

null

0

1

0

1

0

1

0

4

e101984cd830c97ed21423cc10f1cb5ba3f5de53

6,741

py

Python

pmhcmdsapp/app/models.py

brenwickham/pmhc-mds

077c0155f1c2820e7b163cca9375166902c4d372

[ "CC0-1.0" ]

null

pmhcmdsapp/app/models.py

brenwickham/pmhc-mds

077c0155f1c2820e7b163cca9375166902c4d372

[ "CC0-1.0" ]

null

pmhcmdsapp/app/models.py

brenwickham/pmhc-mds

077c0155f1c2820e7b163cca9375166902c4d372

[ "CC0-1.0" ]

null

import os import base64 from datetime import datetime, timedelta from operator import attrgetter, itemgetter from flask import current_app from werkzeug.security import generate_password_hash, check_password_hash from flask_login import UserMixin import sqlalchemy as sa from sqlalchemy_continuum.plugins import FlaskPlugin from sqlalchemy_continuum import make_versioned from app import login #, db #This line critical, it's required for sqlalchemy_continuum versioning: make_versioned(plugins=[FlaskPlugin()]) #Extending a class from this class enables get_dict automatically, returning column names and field values: class BaseModel(object): @classmethod def _get_keys(cls): return db.class_mapper(cls).c.keys() def get_dict(self): d = {} for k in self._get_keys(): d[k] = getattr(self, k) return d #Suggestion to use, and explaination of, CRUDMixin comes from https://realpython.com/python-web-applications-with-flask-part-ii/ #Customisations from original CRUDMixin: # - added fill_with_formdata method (so it's easy to pass the class back to a form that failed validation). # class CRUDMixin(object): # __table_args__ = {'extend_existing': True} # id = db.Column(db.Integer, primary_key=True) # @classmethod # def get_by_id(cls, id): # if any( # ( # isinstance(id, str) and id.isdigit(), # isinstance(id, (int, float)) # ), # ): # return cls.query.get(int(id)) # return None # @classmethod # def create(cls, **kwargs): # classdict = {k: v for k, v in kwargs.items() if k in cls._get_keys()} # instance = cls(**classdict) # return instance.save() # def update(self, commit=True, **kwargs): # for attr, value in kwargs.items(): # setattr(self, attr, value) # return commit and self.save() or self # def save(self, commit=True): # db.session.add(self) # if commit: # db.session.commit() # return self # def delete(self, commit=True): # db.session.delete(self) # return commit and db.session.commit() # @classmethod # def fill_with_formdata(cls, formdata): # classdict = {k: v for k, v in formdata.items() if k in cls._get_keys()} # return cls(**classdict) # class User(BaseModel, UserMixin, db.Model): # __tablename__ = 'user' # __versioned__ = {} # id = db.Column(db.Integer, primary_key=True, autoincrement=True) # email = db.Column(db.String(120), index=True, unique=True) # firstname = db.Column(db.String(64), index=True, ) # surname = db.Column(db.String(64), index=True, ) # password_hash = db.Column(db.String(128)) # password_expired = db.Column(db.Boolean, default=False) # is_admin = db.Column(db.Boolean ,default=False) # is_active = db.Column(db.Boolean, default=True) # token = db.Column(db.String(32), index=True, unique=True) # token_expiration = db.Column(db.DateTime) # # roles = db.relationship("UserRole") # # currentorganisation_id = db.Column(db.Integer, db.ForeignKey("organisation.id"), index=True) # # currentorganisation = db.relationship("app.models.Organisation", backref=db.backref("currentorganisation")) # def set_password(self, password): # self.password_hash = generate_password_hash(password) # def check_password(self, password): # return check_password_hash(self.password_hash, password) # def get_token(self, expires_in=3600): # now = datetime.utcnow() # if self.token and self.token_expiration > now + timedelta(seconds=60): # return self.token # self.token = base64.b64encode(os.urandom(24)).decode('utf-8') # self.token_expiration = now + timedelta(seconds=expires_in) # db.session.add(self) # return self.token # def revoke_token(self): # self.token_expiration = datetime.utcnow() - timedelta(seconds=1) # @staticmethod # def check_token(token): # user = User.query.filter_by(token=token).first() # if user is None or user.token_expiration < datetime.utcnow(): # return None # return user # def rolelist(self): # return [r.role_id for r in self.roles] # def can_delete(self): # #If user is in Admin (2) role, then they can delete: # if set(self.rolelist()).intersection(set([2])): # return True # else: # return False @login.user_loader def load_user(id): return None #User.query.get(int(id)) # class Announcement(BaseModel, db.Model): # __tablename__ = 'announcement' # __versioned__ = {} # id = db.Column(db.Integer, primary_key=True, autoincrement=True) # subject = db.Column(db.String(120)) # announcement = db.Column(db.Text()) # announcementdate = db.Column(db.Date) # type = db.Column(db.Integer,default=1) # status = db.Column(db.Integer,default=1) # class Role(BaseModel, db.Model): # __tablename__ = 'role' # __versioned__ = {} # id = db.Column(db.Integer, primary_key=True) # rolename = db.Column(db.String(120)) # class UserRole(db.Model): # __versioned__ = {} # user_id = db.Column(db.Integer, db.ForeignKey(User.id), primary_key=True) # role_id = db.Column(db.Integer, db.ForeignKey(Role.id), primary_key=True) # # role = db.relationship(Role, backref=db.backref("role_assoc")) # # user = db.relationship(User, backref=db.backref("user_assoc")) # class UserOrganisation(BaseModel, db.Model): # __tablename__ = 'user_organisation' # __versioned__ = {} # user_id = db.Column(db.Integer, db.ForeignKey("user.id"), primary_key=True) # organisation_id = db.Column(db.Integer, db.ForeignKey("organisation.id"), primary_key=True) # # user = db.relationship("app.models.User", backref=db.backref("user2_assoc")) # # organisation = db.relationship("app.models.Organisation", backref=db.backref("userorg_assoc")) # class Organisation(BaseModel, db.Model, CRUDMixin): # __tablename__ = 'organisation' # __versioned__ = {} # id = db.Column(db.Integer, primary_key=True, autoincrement=True) # name = db.Column(db.String(255), nullable=False) # type = db.Column(db.SmallInteger) # # users = db.relationship(UserOrganisation, backref=db.backref("users")) #Lookups: # class lkup_example(BaseModel, db.Model): # id = db.Column(db.SmallInteger, primary_key=True, autoincrement=False) # example = db.Column(db.String(150)) #This line critical. It configures the sqlalchemy_continuum versioning: sa.orm.configure_mappers()

33.874372

128

0.657024

845

6,741

5.089941

0.254438

0.053941

0.067426

0.047431

0.249244

0.214136

0.184841

0.132992

0.101604

0.070914

0

0.008486

0.213321

6,741

198

129

34.045455

0.802565

0.838451

0

1

0

1

0.12

false

0.04

0.44

0.08

0.72

0

null

0

1

0

1

0

null

0

1

0

1

0

4

e10a01e290038823acec96e0b62f2a39baf7d1d6

68

py

Python

build/lib/ms_tools/__init__.py

michaelsilverstein/ms_tools

3e3e7438245e37d19d8c7959df4daaa4e67551c8

[ "MIT" ]

1

2021-11-06T13:37:27.000Z

ms_tools/__init__.py

michaelsilverstein/ms_tools

3e3e7438245e37d19d8c7959df4daaa4e67551c8

[ "MIT" ]

null

ms_tools/__init__.py

michaelsilverstein/ms_tools

3e3e7438245e37d19d8c7959df4daaa4e67551c8

[ "MIT" ]

null

__version__ = '0.2.1' from .composition import * from .viz import *

17

26

0.705882

10

68

4.4

0.8

0

0.052632

0.161765

68

4

27

17

0.719298

0

0.072464

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

0113559a4b1f14e72b1506cd7bb70ba5f7a4c514

73

py

Python

Advanced/pianoTilesBot/mousePosition.py

Sanjulata19/Hacktoberfest_2021-1

720855c9e7e3d1ca04d409cc7defb29381e4a16a

[ "Apache-2.0" ]

1

2021-10-31T14:33:09.000Z

Advanced/pianoTilesBot/mousePosition.py

Sanjulata19/Hacktoberfest_2021-1

720855c9e7e3d1ca04d409cc7defb29381e4a16a

[ "Apache-2.0" ]

4

2021-10-30T06:51:56.000Z

2021-10-30T06:58:35.000Z

Advanced/pianoTilesBot/mousePosition.py

Sanjulata19/Hacktoberfest_2021-1

720855c9e7e3d1ca04d409cc7defb29381e4a16a

[ "Apache-2.0" ]

19

2021-10-30T06:23:49.000Z

2021-10-31T14:51:04.000Z

import pyautogui as gui while(input() == 'y'): print(gui.position())

18.25

25

0.643836

10

73

4.7

0.9

0

0.164384

73

4

25

18.25

0.770492

0

0.013514

0

1

0

true

0

0.333333

0

0.333333

1

0

null

0

1

0

null

0

1

0

1

0

4

011ae45320a061d41cf9c9cf27bdb4e55f996cd6

269

py

Python

ethinjest/__init__.py

agonopol/ethscan

e1c1433458e92a35b4729809bdf8e77f95ef32cd

[ "MIT" ]

null

ethinjest/__init__.py

agonopol/ethscan

e1c1433458e92a35b4729809bdf8e77f95ef32cd

[ "MIT" ]

null

ethinjest/__init__.py

agonopol/ethscan

e1c1433458e92a35b4729809bdf8e77f95ef32cd

[ "MIT" ]

2

2019-06-04T11:51:34.000Z

2019-06-04T15:51:38.000Z

from ethinjest.model import Status from ethinjest.ethscan import balance, transactions from datetime import datetime def status(address, asof=datetime.now()): return Status(address=address, balance=balance(address), transactions=transactions(address), asof=asof)

33.625

107

0.810409

33

269

6.606061

0.424242

0.119266

0

0.100372

269

7

108

38.428571

0.900826

0

1

0.2

false

0

0.6

0.2

1

0

null

0

1

0

null

0

1

0

4

0140db0ade6d7c418bcbe4f429b83edc74c99322

217

py

Python

pesquisa_e_ordenacao/utils/elementGenerator.py

Rudigus/besteirinhas-python

70f93dd522770a46966656980cd9f0d559aa8b0f

[ "MIT" ]

null

pesquisa_e_ordenacao/utils/elementGenerator.py

Rudigus/besteirinhas-python

70f93dd522770a46966656980cd9f0d559aa8b0f

[ "MIT" ]

null

pesquisa_e_ordenacao/utils/elementGenerator.py

Rudigus/besteirinhas-python

70f93dd522770a46966656980cd9f0d559aa8b0f

[ "MIT" ]

null

import random from .element import Element def getRandomRepeatingListWithRange(elementCount, elementRange): intList = [Element(random.randint(0, elementRange - 1), i) for i in range(elementCount)] return intList

31

90

0.792627

25

217

6.88

0.68

0

0.010526

0.124424

217

6

91

36.166667

0.894737

0

1

0.2

false

0

0.4

0

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

4

6d736519506159e2f6862cc9d01888b1f180caa0

126

py

Python

django_flow/signals.py

dalou/django-flow

9b3de6ea597e3da420948a55735c4b2799419dfb

[ "BSD-3-Clause" ]

8

2015-10-13T04:54:26.000Z

2019-07-09T10:41:18.000Z

django_flow/signals.py

dalou/django-flow

9b3de6ea597e3da420948a55735c4b2799419dfb

[ "BSD-3-Clause" ]

null

django_flow/signals.py

dalou/django-flow

9b3de6ea597e3da420948a55735c4b2799419dfb

[ "BSD-3-Clause" ]

null

import django.dispatch # USERS flow_user_disconnected = django.dispatch.Signal(providing_args=["user_pk", "data", "kwargs"])

25.2

93

0.777778

16

126

5.875

0.8125

0.297872

0

0.079365

126

5

93

25.2

0.810345

0.039683

0

0.142857

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

6d972b9c6e23fff5e5133ab224b5923267bd83b8

65

py

Python

examples/int.from_bytes/ex3.py

mcorne/python-by-example

15339c0909c84b51075587a6a66391100971c033

[ "MIT" ]

null

examples/int.from_bytes/ex3.py

mcorne/python-by-example

15339c0909c84b51075587a6a66391100971c033

[ "MIT" ]

null

examples/int.from_bytes/ex3.py

mcorne/python-by-example

15339c0909c84b51075587a6a66391100971c033

[ "MIT" ]

null

print(int.from_bytes(b'\xfc\x00', byteorder='big', signed=True))

32.5

64

0.723077

11

65

4.181818

1

0

0.032258

0.046154

65

1

65

0.709677

0

0.169231

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

4

6da26902a0909ed83458d8e324c1541dbd310057

9

py

Python

src/application/detect-by-video.py

hconcessa/mask-person-identifier

0568a061e7b71509cdded3025807480cf9a3b02c

[ "MIT" ]

null

src/application/detect-by-video.py

hconcessa/mask-person-identifier

0568a061e7b71509cdded3025807480cf9a3b02c

[ "MIT" ]

null

src/application/detect-by-video.py

hconcessa/mask-person-identifier

0568a061e7b71509cdded3025807480cf9a3b02c

[ "MIT" ]

null

# To do..

9

0.444444

2

9

2

1

0

0.222222

9

1

9

0.571429

0.777778

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

6da320aa7915c0112040163f0935205824abaa36

63

py

Python

backend/project/conversations/__init__.py

winoutt/winoutt-django

f48dfd933b3c12286f973701676eb2c2ab2bff73

[ "MIT" ]

null

backend/project/conversations/__init__.py

winoutt/winoutt-django

f48dfd933b3c12286f973701676eb2c2ab2bff73

[ "MIT" ]

null

backend/project/conversations/__init__.py

winoutt/winoutt-django

f48dfd933b3c12286f973701676eb2c2ab2bff73

[ "MIT" ]

null

# default_app_config = 'conversations.apps.ConversationsConfig'

63

0.857143

6

63

8.666667

1

0

0.047619

63

1

63

0.866667

0.968254

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

6dac62da79032108241b1ac39c624a45d22206b2

174

py

Python

reports/runtests/example/models.py

IgorBwork/django-libreport

c3b08702e7b1d27f3a69f9c0a03bb60084d40b08

[ "MIT" ]

2

2018-09-07T09:49:27.000Z

2020-10-01T20:48:13.000Z

reports/runtests/example/models.py

IgorBwork/django-libreport

c3b08702e7b1d27f3a69f9c0a03bb60084d40b08

[ "MIT" ]

9

2018-05-15T15:56:47.000Z

2021-04-16T17:07:45.000Z

reports/runtests/example/models.py

IgorBwork/django-libreport

c3b08702e7b1d27f3a69f9c0a03bb60084d40b08

[ "MIT" ]

4

2018-07-12T21:21:52.000Z

2019-12-12T21:02:08.000Z

from django.db import models class Organization(models.Model): """ Customer's Organization Model """ name = models.CharField(unique=True, max_length=1024)

17.4

57

0.695402

21

174

5.714286

0.809524

0

0.028571

0.195402

174

9

58

19.333333

0.828571

0.166667

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

6ddb40d80652eb46b9339f3cdbdb51775427f314

125

py

Python

com_cards/run.py

BjohnShawL/ComRepo

8ffd9a3b4d684ad8dd6744eacae7543431c316d3

[ "MIT" ]

null

com_cards/run.py

BjohnShawL/ComRepo

8ffd9a3b4d684ad8dd6744eacae7543431c316d3

[ "MIT" ]

null

com_cards/run.py

BjohnShawL/ComRepo

8ffd9a3b4d684ad8dd6744eacae7543431c316d3

[ "MIT" ]

null

"""Runs the application""" from tags_registry import APP print("hello world") APP.run(host='0.0.0.0', port=80, debug=True)

17.857143

44

0.704

22

125

3.954545

0.818182

0.068966

0

0.054054

0.112

125

6

45

20.833333

0.72973

0.16

0

0.181818

0

1

0

true

0

0.333333

0

0.333333

1

0

null

0

1

0

null

0

1

0

1

0

4

6de97fbe3e6512c175c4ee7af5bb0dc7e585db40

8,922

py

Python

ros_bt_py/test/unittest/test_compare.py

fzi-forschungszentrum-informatik/ros_bt_py

ed65e2b2f0a03411101f455c0ab38401ba50bada

[ "MIT", "Apache-2.0", "BSD-3-Clause" ]

4

2022-03-11T14:30:43.000Z

2022-03-31T07:21:35.000Z

ros_bt_py/test/unittest/test_compare.py

fzi-forschungszentrum-informatik/ros_bt_py

ed65e2b2f0a03411101f455c0ab38401ba50bada

[ "MIT", "Apache-2.0", "BSD-3-Clause" ]

null

ros_bt_py/test/unittest/test_compare.py

fzi-forschungszentrum-informatik/ros_bt_py

ed65e2b2f0a03411101f455c0ab38401ba50bada

[ "MIT", "Apache-2.0", "BSD-3-Clause" ]

null

# -------- BEGIN LICENSE BLOCK -------- # Copyright 2022 FZI Forschungszentrum Informatik # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # # * Redistributions in binary form must reproduce the above copyright # notice, this list of conditions and the following disclaimer in the # documentation and/or other materials provided with the distribution. # # * Neither the name of the {copyright_holder} nor the names of its # contributors may be used to endorse or promote products derived from # this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" # AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE # ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE # LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR # CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF # SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS # INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN # CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) # ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE # POSSIBILITY OF SUCH DAMAGE. # -------- END LICENSE BLOCK -------- import unittest from ros_bt_py_msgs.msg import Node as NodeMsg from ros_bt_py.exceptions import BehaviorTreeException from ros_bt_py.nodes.compare import Compare, CompareNewOnly, CompareConstant from ros_bt_py.nodes.compare import ALessThanB, LessThanConstant class TestCompare(unittest.TestCase): def setUp(self): self.compare = Compare({'compare_type': int}) self.compare.setup() self.compare.inputs['a'] = 42 self.compare.inputs['b'] = 42 def testResult(self): # Both inputs are set, we should have an output self.compare.tick() self.assertEqual(self.compare.state, NodeMsg.SUCCEEDED) # Another tick, same result self.compare.tick() self.assertEqual(self.compare.state, NodeMsg.SUCCEEDED) self.compare.inputs['b'] = 41 # 'in' changed, so we get a different result, FAILED self.compare.tick() self.assertEqual(self.compare.state, NodeMsg.FAILED) def testReset(self): # Start as before, 42 == 42 self.compare.tick() self.assertEqual(self.compare.state, NodeMsg.SUCCEEDED) self.compare.reset() self.assertEqual(self.compare.state, NodeMsg.IDLE) # Neither of the inputs have updated, so ticking fails self.compare.tick() self.assertEqual(self.compare.state, NodeMsg.FAILED) # If we update the inputs, the result changes to SUCCEEDED self.compare.inputs['a'] = 42 self.compare.inputs['b'] = 42 self.compare.tick() self.assertEqual(self.compare.state, NodeMsg.SUCCEEDED) def testUntick(self): self.compare.untick() self.assertEqual(self.compare.state, NodeMsg.IDLE) def testShutdown(self): self.compare.shutdown() self.assertEqual(self.compare.state, NodeMsg.SHUTDOWN) class TestCompareNewOnly(unittest.TestCase): def setUp(self): self.compare = CompareNewOnly({'compare_type': int}) self.compare.setup() self.compare.inputs['a'] = 42 self.compare.inputs['b'] = 42 def testResult(self): # Both inputs are set, we should have an output self.compare.tick() self.assertEqual(self.compare.state, NodeMsg.SUCCEEDED) # Another tick, inputs were not updated => RUNNING self.compare.tick() self.assertEqual(self.compare.state, NodeMsg.RUNNING) self.compare.inputs['b'] = 41 # 'in' changed, so we get a different result, FAILED self.compare.tick() self.assertEqual(self.compare.state, NodeMsg.FAILED) def testReset(self): # Start as before, 42 == 42 self.compare.tick() self.assertEqual(self.compare.state, NodeMsg.SUCCEEDED) self.compare.reset() self.assertEqual(self.compare.state, NodeMsg.IDLE) # Neither of the inputs have updated, so the node stays # RUNNING self.compare.tick() self.assertEqual(self.compare.state, NodeMsg.RUNNING) # If we update the inputs, the result changes to SUCCEEDED self.compare.inputs['a'] = 42 self.compare.inputs['b'] = 42 self.compare.tick() self.assertEqual(self.compare.state, NodeMsg.SUCCEEDED) def testUntick(self): self.compare.untick() self.assertEqual(self.compare.state, NodeMsg.IDLE) def testShutdown(self): self.compare.shutdown() self.assertEqual(self.compare.state, NodeMsg.SHUTDOWN) class TestCompareConstant(unittest.TestCase): def setUp(self): self.compare = CompareConstant({'compare_type': int, 'expected': 5}) self.compare.setup() self.compare.inputs['in'] = 5 def testResult(self): # Both inputs are set, we should have an output self.compare.tick() self.assertEqual(self.compare.state, NodeMsg.SUCCEEDED) # Another tick, same result self.compare.tick() self.assertEqual(self.compare.state, NodeMsg.SUCCEEDED) self.compare.inputs['in'] = 41 # 'in' changed, so we get a different result, FAILED self.compare.tick() self.assertEqual(self.compare.state, NodeMsg.FAILED) def testReset(self): # Start as before, 42 == 42 self.compare.tick() self.assertEqual(self.compare.state, NodeMsg.SUCCEEDED) self.compare.reset() self.assertEqual(self.compare.state, NodeMsg.IDLE) # The input hasn't updated yet, so ticking fails self.compare.tick() self.assertEqual(self.compare.state, NodeMsg.FAILED) # If we update the input, the result changes to SUCCEEDED self.compare.inputs['in'] = 5 self.compare.tick() self.assertEqual(self.compare.state, NodeMsg.SUCCEEDED) def testUntick(self): self.compare.untick() self.assertEqual(self.compare.state, NodeMsg.IDLE) def testShutdown(self): self.compare.shutdown() self.assertEqual(self.compare.state, NodeMsg.SHUTDOWN) class TestLessThan(unittest.TestCase): def testALessThanB(self): less_than = ALessThanB() less_than.setup() with self.assertRaises(ValueError): less_than.tick() less_than.inputs['a'] = 42 less_than.inputs['b'] = 42 self.assertEqual(less_than.tick(), NodeMsg.FAILED) less_than.inputs['a'] = 100 self.assertEqual(less_than.tick(), NodeMsg.FAILED) less_than.inputs['a'] = 1 self.assertEqual(less_than.tick(), NodeMsg.SUCCEEDED) less_than.reset() self.assertEqual(less_than.state, NodeMsg.IDLE) # Neither of the inputs have updated, so ticking fails less_than.tick() self.assertEqual(less_than.state, NodeMsg.FAILED) # If we update the inputs, the result changes to SUCCEEDED less_than.inputs['a'] = 1 less_than.inputs['b'] = 42 less_than.tick() self.assertEqual(less_than.state, NodeMsg.SUCCEEDED) less_than.untick() self.assertEqual(less_than.state, NodeMsg.IDLE) less_than.shutdown() self.assertEqual(less_than.state, NodeMsg.SHUTDOWN) def testLessThanConstant(self): less_than = LessThanConstant({'target': 42}) less_than.setup() with self.assertRaises(ValueError): less_than.tick() less_than.inputs['a'] = 42 self.assertEqual(less_than.tick(), NodeMsg.FAILED) less_than.inputs['a'] = 100 self.assertEqual(less_than.tick(), NodeMsg.FAILED) less_than.inputs['a'] = 1 self.assertEqual(less_than.tick(), NodeMsg.SUCCEEDED) less_than.reset() self.assertEqual(less_than.state, NodeMsg.IDLE) # Neither of the inputs have updated, so ticking fails less_than.tick() self.assertEqual(less_than.state, NodeMsg.FAILED) # If we update the inputs, the result changes to SUCCEEDED less_than.inputs['a'] = 1 less_than.tick() self.assertEqual(less_than.state, NodeMsg.SUCCEEDED) less_than.untick() self.assertEqual(less_than.state, NodeMsg.IDLE) less_than.shutdown() self.assertEqual(less_than.state, NodeMsg.SHUTDOWN)

35.545817

77

0.665882

1,095

8,922

5.375342

0.189954

0.136425

0.087156

0.119266

0.74227

0.728678

0.723072

0.69334

0.685865

0

0.008917

0.233244

8,922

250

78

35.688

0.851484

0.291527

0

0.875

0

0.012127

0

0.3125

1

0.118056

false

0

0.034722

0

0.180556

0

null

0

1

0

1

0

1

0

null

0

4

6ded9f9daf2ff2b6cb05f2ded22c8e0b50b96cc5

744

py

Python

9_functions/6_goThrough.py

qaidjohar/PythonCourse

6c638f8a1e1172eb12459c0fd6dc20e0590825b8

[ "MIT" ]

null

9_functions/6_goThrough.py

qaidjohar/PythonCourse

6c638f8a1e1172eb12459c0fd6dc20e0590825b8

[ "MIT" ]

null

9_functions/6_goThrough.py

qaidjohar/PythonCourse

6c638f8a1e1172eb12459c0fd6dc20e0590825b8

[ "MIT" ]

null

# def math(num1, num2, operation='add'): # if(operation == "mult"): # return num1 * num2 # if(operation == "div"): # return num1 / num2 # if(operation == "sub"): # return num1 - num2 # if(operation == "add"): # return num1 + num2 # else: # print("not a valid opreation") # num1 = int(input("input number1:")) # num2 = int(input("input number2:")) # operation = input("write the opreation :add,sub,mult,div:") # val = math(num1, num2, operation) # print(val) # num1 and num2 are parameters # def add(num1, num2): # return num1 + num2 # 100 and 20 are arguments # x = add(100, 20) # print(x) def multiply(num1, num2): return num1 * num2 y = multiply(10, 20) print(y)

19.578947

61

0.577957

98

744

4.387755

0.346939

0.186047

0.195349

0.111628

0.276744

0

0.072464

0.258065

744

37

62

20.108108

0.706522

0.818548

0

1

0.25

false

0

0.25

0.5

0.25

0

null

0

1

0

1

0

null

0

1

0

1

0

4

6dfd6a7ebe25ebf5a26d90a37fe1c79d9ada503d

284

py

Python

API/__init__.py

ArgonDesign/gumpifier

593e6b4cc661e8399ff8eb0457aaecfc97f84af8

[ "MIT" ]

1

2018-12-09T17:06:40.000Z

API/__init__.py

ArgonDesign/gumpifier

593e6b4cc661e8399ff8eb0457aaecfc97f84af8

[ "MIT" ]

null

API/__init__.py

ArgonDesign/gumpifier

593e6b4cc661e8399ff8eb0457aaecfc97f84af8

[ "MIT" ]

1

2019-02-14T04:10:53.000Z

# See here for a good tutorial on imports: https://chrisyeh96.github.io/2017/08/08/definitive-guide-python-imports.html # We use a modified version of workaround 2 in case example 2. import sys, os sys.path.append(os.path.dirname(os.path.realpath(__file__))) from . import API

40.571429

120

0.757042

48

284

4.395833

0.791667

0.056872

0

0.04878

0.133803

284

7

121

40.571429

0.808943

0.626761

0

1

0

true

0

0.666667

0

0.666667

0

null

0

1

0

null

0

1

0

1

0

1

0

4

09b28d1441544ea78bea7a7c0f543e853d8d2b17

99

py

Python

src/BribeNet/graph/temporal/action/actionType.py

RobMurray98/BribeNet

09ddd8f15d9ab5fac44ae516ed92c6ba5e5119bc

[ "MIT" ]

null

src/BribeNet/graph/temporal/action/actionType.py

RobMurray98/BribeNet

09ddd8f15d9ab5fac44ae516ed92c6ba5e5119bc

[ "MIT" ]

null

src/BribeNet/graph/temporal/action/actionType.py

RobMurray98/BribeNet

09ddd8f15d9ab5fac44ae516ed92c6ba5e5119bc

[ "MIT" ]

null

import enum @enum.unique class ActionType(enum.Enum): NONE = 0 BRIBED = 1 SELECT = 2

11

28

0.626263

14

99

4.428571

0.785714

0.258065

0

0.042254

0.282828

99

8

29

12.375

0.830986

0

1

0

false

0

0.166667

0

0.833333

0

1

0

null

1

0

1

0

null

0

1

0

4

09c1fb753f493272fad105cf97a0f3d4a1628027

1,550

py

Python

packages/pyright-internal/src/tests/samples/final2.py

Microsoft/pyright

adf7c3e92e4540d930e3652de3c1c335855af595

[ "MIT" ]

3,934

2019-03-22T09:26:41.000Z

2019-05-06T21:03:08.000Z

packages/pyright-internal/src/tests/samples/final2.py

Microsoft/pyright

adf7c3e92e4540d930e3652de3c1c335855af595

[ "MIT" ]

107

2019-03-24T04:09:37.000Z

2019-05-06T17:00:04.000Z

packages/pyright-internal/src/tests/samples/final2.py

Microsoft/pyright

adf7c3e92e4540d930e3652de3c1c335855af595

[ "MIT" ]

119

2019-03-23T10:48:04.000Z

2019-05-06T08:57:56.000Z

# This sample tests the handling of the @final method decorator. from typing import final class ClassA: def func1(self): pass @classmethod def func2(cls): pass @final def func3(self): pass @final @classmethod def func4(cls): pass @final def _func5(self): pass @final def __func6(self): pass # This should generate an error because func3 is final. ClassA.func3 = lambda self: None # This should generate an error because func4 is final. ClassA.func4 = lambda cls: None # This should generate an error because _func5 is final. ClassA._func5 = lambda self: None class ClassB(ClassA): def func1(self): pass @classmethod def func2(cls): pass # This should generate an error because func3 is # defined as final. def func3(self): pass # This should generate an error because func3 is # defined as final. @classmethod def func4(cls): pass # This should generate an error because func3 is # defined as final. def _func5(self): pass # This should not generate an error because double # underscore symbols are exempt from this check. def __func6(self): pass class Base4: ... class Base5: @final def __init__(self, v: int) -> None: ... class C(Base4, Base5): # This should generate an error because it overrides Base5, # and __init__ is marked final there. def __init__(self) -> None: ...

17.816092

64

0.622581

199

1,550

4.748744

0.271357

0.067725

0.126984

0.186243

0.568254

0.504762

0.417989

0.341799

0

0.024186

0.306452

1,550

86

65

18.023256

0.854884

0.393548

0

0.765957

0

1

0.297872

false

0.255319

0.021277

0

0.425532

0

null

0

1

0

1

0

null

0

1

0

1

0

4

09c939b64303de29d0dcebbe65910a3839d59090

820

py

Python

crawler/database.py

reeoss/community_crawler

d4849a0ca6b4bc0f439a49d3899fda3d921886c1

[ "MIT" ]

9

2017-09-25T07:39:33.000Z

2020-03-15T02:06:40.000Z

crawler/database.py

reeoss/community_crawler

d4849a0ca6b4bc0f439a49d3899fda3d921886c1

[ "MIT" ]

5

2016-03-20T09:37:29.000Z

2018-04-09T14:08:38.000Z

crawler/database.py

reeoss/community_crawler

d4849a0ca6b4bc0f439a49d3899fda3d921886c1

[ "MIT" ]

8

2017-06-26T10:04:27.000Z

2021-07-07T07:33:21.000Z

""":mod:`crawler.database` --- MongoDB Manager ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ """ import logging from pymongo import MongoClient from .config import crawler_config logger = logging.getLogger(__name__) class MongoDB: def __init__(self, db: str): db_config = crawler_config.db_config client = MongoClient(host=db_config['url'], serverSelectionTimeoutMS=3) self.collection = client[db] def query(self, document: str): return self.collection[document] def insert(self, document: str, *, data: dict): return self.collection[document] \ .insert(data) def update(self, document: str, *, c, data: dict): return self.collection[document] \ .update({'_id': c['_id']}, {'$set': data})

24.848485

56

0.584146

85

820

5.458824

0.423529

0.12069

0.096983

0.181034

0.155172

0

0.001603

0.239024

820

32

57

25.625

0.741987

0.112195

0

0.111111

0

0.018056

0

1

0.222222

false

0

0.166667

0.611111

0

null

0

1

0

null

0

1

0

1

0

4

09ecc105363b7818ef99bc8984d951b573d2909f

50

py

Python

tests/pyicontract_hypothesis/__init__.py

ProLoD/icontract-hypothesis

fe6c12a7395807d78880c2bbead48580fe8a1cff

[ "MIT" ]

57

2021-01-14T12:01:19.000Z

2022-03-02T10:54:43.000Z

tests/pyicontract_hypothesis/__init__.py

ProLoD/icontract-hypothesis

fe6c12a7395807d78880c2bbead48580fe8a1cff

[ "MIT" ]

7

2021-02-15T16:28:55.000Z

2021-07-23T10:58:21.000Z

tests/pyicontract_hypothesis/__init__.py

ProLoD/icontract-hypothesis

fe6c12a7395807d78880c2bbead48580fe8a1cff

[ "MIT" ]

2

2021-01-21T05:35:58.000Z

2021-04-02T08:28:06.000Z

"""Test pyicontract-hypothesis as a component."""

25

49

0.74

6

50

6.166667

1

0

0.1

50

1

50

0.822222

0.86

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

111d89dc3fa97f05216826d77249b04673a33d5f

381

py

Python

examples/seq2seq/att_all_need/__init__.py

yym6472/transformers

abd01205561e5caec167c1fbb20bccea24d7ba46

[ "Apache-2.0" ]

1

2021-12-30T05:41:37.000Z

examples/seq2seq/att_all_need/__init__.py

yym6472/transformers

abd01205561e5caec167c1fbb20bccea24d7ba46

[ "Apache-2.0" ]

null

examples/seq2seq/att_all_need/__init__.py

yym6472/transformers

abd01205561e5caec167c1fbb20bccea24d7ba46

[ "Apache-2.0" ]

null

import att_all_need.Constants import att_all_need.Modules import att_all_need.Layers import att_all_need.SubLayers import att_all_need.Models import att_all_need.Translator import att_all_need.Optim __all__ = [ att_all_need.Constants, att_all_need.Modules, att_all_need.Layers, att_all_need.SubLayers, att_all_need.Models, att_all_need.Optim, att_all_need.Translator]

29.307692

70

0.84252

64

381

4.515625

0.171875

0.290657

0.484429

0.387543

0

0.097113

381

12

71

31.75

0.840116

0

1

0

false

0

0.636364

0

0.636364

0

null

1

0

null

0

1

0

4

112ee878f6cb390f7d55d0ec0e3b0475f06c4c64

98

py

Python

src/util/init.py

LeanderK/deeptech-ai

4a2fca638d7d33acd1c255755bb62c8d88a54c02

[ "MIT" ]

1

2019-05-26T14:07:37.000Z

src/util/init.py

LeanderK/deeptech-ai

4a2fca638d7d33acd1c255755bb62c8d88a54c02

[ "MIT" ]

null

src/util/init.py

LeanderK/deeptech-ai

4a2fca638d7d33acd1c255755bb62c8d88a54c02

[ "MIT" ]

1

2019-05-26T14:25:28.000Z

import os import sys import locale def init(): locale.setlocale(locale.LC_ALL, 'en_US.UTF-8')

16.333333

50

0.734694

17

98

4.117647

0.764706

0

0.011905

0.142857

98

6

50

16.333333

0.821429

0

0.111111

0

1

0.2

true

0

0.6

0

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

4