xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

cf7c05da53e6dc2261a9bf9209e02795d2b94aff

32

py

Python

boa3_test/test_sc/class_test/UserClassWithBase.py

hal0x2328/neo3-boa

6825a3533384cb01660773050719402a9703065b

[ "Apache-2.0" ]

25

2020-07-22T19:37:43.000Z

2022-03-08T03:23:55.000Z

boa3_test/test_sc/class_test/UserClassWithBase.py

hal0x2328/neo3-boa

6825a3533384cb01660773050719402a9703065b

[ "Apache-2.0" ]

419

2020-04-23T17:48:14.000Z

2022-03-31T13:17:45.000Z

boa3_test/test_sc/class_test/UserClassWithBase.py

hal0x2328/neo3-boa

6825a3533384cb01660773050719402a9703065b

[ "Apache-2.0" ]

15

2020-05-21T21:54:24.000Z

2021-11-18T06:17:24.000Z

class Example(object): pass

10.666667

22

0.6875

4

32

5.5

1

0

0.21875

32

2

23

16

0.88

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

d843e4b01b7764ad4859ffea4d58b208b95d07a4

230

py

Python

finance_ml/model_selection/__init__.py

BTETON/finance_ml

a585be2d04db5a749eb6b39b7336e5aeb30d6327

[ "MIT" ]

446

2018-09-05T18:28:51.000Z

2022-03-28T23:45:41.000Z

finance_ml/model_selection/__init__.py

BTETON/finance_ml

a585be2d04db5a749eb6b39b7336e5aeb30d6327

[ "MIT" ]

3

2019-03-26T13:48:51.000Z

2021-10-31T11:00:14.000Z

finance_ml/model_selection/__init__.py

BTETON/finance_ml

a585be2d04db5a749eb6b39b7336e5aeb30d6327

[ "MIT" ]

164

2018-09-12T18:37:25.000Z

2022-03-17T06:30:12.000Z

from .kfold import PurgedKFold, CPKFold, generate_signals from .score import cv_score from .pipeline import Pipeline from .hyper import clf_hyper_fit from .distribution import LogUniformGen, log_uniform from .utils import evaluate

38.333333

57

0.847826

32

230

5.9375

0.59375

0

0.113043

230

6

58

38.333333

0.931373

0

1

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

5

d8bdd148d097f18ccb47562befd806bff9b21f4c

216

py

Python

wntr/scenario/__init__.py

yejustme/WNTR

4228853c84217392b57e99c486e878ddf7959bbd

[ "BSD-3-Clause" ]

null

wntr/scenario/__init__.py

yejustme/WNTR

4228853c84217392b57e99c486e878ddf7959bbd

[ "BSD-3-Clause" ]

null

wntr/scenario/__init__.py

yejustme/WNTR

4228853c84217392b57e99c486e878ddf7959bbd

[ "BSD-3-Clause" ]

null

""" The wntr.scenario package contains methods to define disaster scenarios and fragility/survival curves. """ from wntr.scenario.earthquake import Earthquake from wntr.scenario.fragility_curve import FragilityCurve

36

76

0.837963

27

216

6.666667

0.703704

0.2

0.177778

0

0.101852

216

6

77

36

0.927835

0.476852

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

d8bf094e28fe8390c3d84fdfd1c20be429c49d9e

98

py

Python

enthought/envisage/ui/action/action_set.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/envisage/ui/action/action_set.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/envisage/ui/action/action_set.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from __future__ import absolute_import from envisage.ui.action.action_set import *

24.5

43

0.836735

14

98

5.428571

0.714286

0

0.112245

98

3

44

32.666667

0.873563

0.122449

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

d8c91d258814ef08bbfd7a0d619bcb60180cddf1

77

py

Python

{{cookiecutter.project_name}}/{{cookiecutter.project_name}}/wsgi.py

YE-Kits/cookiecutter-falcon

e7963cb6028dcefa18c82d473773162d57549d49

[ "MIT" ]

1

2020-06-13T09:15:31.000Z

{{cookiecutter.project_name}}/{{cookiecutter.project_name}}/wsgi.py

YE-Kits/cookiecutter-falcon

e7963cb6028dcefa18c82d473773162d57549d49

[ "MIT" ]

null

{{cookiecutter.project_name}}/{{cookiecutter.project_name}}/wsgi.py

YE-Kits/cookiecutter-falcon

e7963cb6028dcefa18c82d473773162d57549d49

[ "MIT" ]

null

from {{cookiecutter.project_name}}.main import create_app app = create_app()

25.666667

57

0.792208

11

77

5.272727

0.727273

0.310345

0

0.090909

77

2

58

38.5

0.828571

0

null

0

0.5

null

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

41d2106491ae3bd5e9e354c744f4b66b9b2a5abc

173

py

Python

prism/__init__.py

mwaldronii/prism-python

15123e7ce7d8d2fa774a16b81f630c61e2aa5424

[ "Apache-2.0" ]

1

2020-08-04T08:29:30.000Z

prism/__init__.py

johnjdailey/prism-python

efb20da519c20cc7fe0c9e4acae5e00e91db2abb

[ "Apache-2.0" ]

null

prism/__init__.py

johnjdailey/prism-python

efb20da519c20cc7fe0c9e4acae5e00e91db2abb

[ "Apache-2.0" ]

null

from prism.prism import Prism, load_schema from ._version import get_versions __version__ = get_versions()["version"] del get_versions __all__ = ["Prism", "load_schema"]

19.222222

42

0.774566

23

173

5.217391

0.434783

0.275

0.25

0

0.121387

173

8

43

21.625

0.789474

0

0.132948

0

1

0

false

0

0.4

0

0.4

0

1

0

null

1

0

1

0

null

0

1

0

5

5100e45949d99a2a63dab8597839d2c198bb247c

15,759

py

Python

flow/controllers/car_following_models.py

mark-koren/flow

f3f6d7e9c64f6b641a464a716c7f38ca00388805

[ "MIT" ]

null

flow/controllers/car_following_models.py

mark-koren/flow

f3f6d7e9c64f6b641a464a716c7f38ca00388805

[ "MIT" ]

null

flow/controllers/car_following_models.py

mark-koren/flow

f3f6d7e9c64f6b641a464a716c7f38ca00388805

[ "MIT" ]

null

""" This script contains several car-following control models for flow-controlled vehicles. Controllers can have their output delayed by some duration. Each controller includes functions get_accel(self, env) -> acc - using the current state of the world and existing parameters, uses the control model to return a vehicle acceleration. reset_delay(self) -> None - clears the queue of acceleration outputs used to generate delayed output. used when the experiment is reset to clear out old actions based on old states. """ import random import math from flow.controllers.base_controller import BaseController import collections import numpy as np class CFMController(BaseController): def __init__(self, veh_id, k_d=1, k_v=1, k_c=1, d_des=1, v_des=8, accel_max=20, decel_max=-5, tau=0.5, dt=0.1, noise=0): """ Instantiates a CFM controller Attributes ---------- veh_id: str Vehicle ID for SUMO identification k_d: float headway gain (default: 1) k_v: float, optional gain on difference between lead velocity and current (default: 1) k_c: float, optional gain on difference from desired velocity to current (default: 1) d_des: float, optional desired headway (default: 1) v_des: float, optional desired velocity (default: 8) accel_max: float max acceleration (default: 20) decel_max: float max deceleration (default: -5) tau: float, optional time delay (default: 0) dt: float, optional timestep (default: 0.1) noise: float, optional std dev of normal perturbation to the acceleration (default: 0) """ controller_params = {"delay": tau/dt, "max_deaccel": decel_max, "noise": noise} BaseController.__init__(self, veh_id, controller_params) self.veh_id = veh_id self.k_d = k_d self.k_v = k_v self.k_c = k_c self.d_des = d_des self.v_des = v_des self.accel_max = accel_max self.accel_queue = collections.deque() def get_accel(self, env): lead_id = env.vehicles.get_leader(self.veh_id) if not lead_id: # no car ahead return self.accel_max lead_vel = env.vehicles.get_speed(lead_id) this_vel = env.vehicles.get_speed(self.veh_id) d_l = env.vehicles.get_headway(self.veh_id) acc = self.k_d*(d_l - self.d_des) + self.k_v*(lead_vel - this_vel) + \ self.k_c*(self.v_des - this_vel) while len(self.accel_queue) <= self.delay: # Some behavior here for initial states - extrapolation, dumb # filling (currently), etc self.accel_queue.appendleft(acc) return min(self.accel_queue.pop(), self.accel_max) def reset_delay(self, env): self.accel_queue.clear() class BCMController(BaseController): def __init__(self, veh_id, k_d=1, k_v=1, k_c=1, d_des=1, v_des=8, accel_max=15, decel_max=-5, tau=0.5, dt=0.1, noise=0): """ Instantiates a Bilateral car-following model controller. Looks ahead and behind. Attributes ---------- veh_id: str Vehicle ID for SUMO identification k_d: float, optional gain on distances to lead/following cars (default: 1) k_v: float, optional gain on vehicle velocity differences (default: 1) k_c: float, optional gain on difference from desired velocity to current (default: 1) d_des: float, optional desired headway (default: 1) v_des: float, optional desired velocity (default: 8) accel_max: float, optional max acceleration (default: 15) decel_max: float max deceleration (default: -5) tau: float, optional time delay (default: 0.5) dt: float, optional timestep (default: 0.1) noise: float, optional std dev of normal perturbation to the acceleration (default: 0) """ controller_params = {"delay": tau / dt, "max_deaccel": decel_max, "noise": noise} BaseController.__init__(self, veh_id, controller_params) self.veh_id = veh_id self.k_d = k_d self.k_v = k_v self.k_c = k_c self.d_des = d_des self.v_des = v_des self.accel_max = accel_max self.accel_queue = collections.deque() def get_accel(self, env): """ From the paper: There would also be additional control rules that take into account minimum safe separation, relative speeds, speed limits, weather and lighting conditions, traffic density and traffic advisories """ lead_id = env.vehicles.get_leader(self.veh_id) if not lead_id: # no car ahead return self.accel_max lead_vel = env.vehicles.get_speed(lead_id) this_vel = env.vehicles.get_speed(self.veh_id) trail_id = env.vehicles.get_follower(self.veh_id) trail_vel = env.vehicles.get_speed(trail_id) headway = env.vehicles.get_headway(self.veh_id) footway = env.vehicles.get_headway(trail_id) acc = self.k_d * (headway - footway) + \ self.k_v * ((lead_vel - this_vel) - (this_vel - trail_vel)) + \ self.k_c * (self.v_des - this_vel) while len(self.accel_queue) <= self.delay: # Some behavior here for initial states - extrapolation, dumb # filling (currently), etc self.accel_queue.appendleft(acc) return min(self.accel_queue.pop(), self.accel_max) def reset_delay(self, env): self.accel_queue.clear() class OVMController(BaseController): def __init__(self, veh_id, alpha=1, beta=1, h_st=2, h_go=15, v_max=30, accel_max=15, decel_max=-5, tau=0.5, dt=0.1, noise=0): """ Instantiates an Optimal Vehicle Model controller. Attributes ---------- veh_id: str Vehicle ID for SUMO identification alpha: float, optional gain on desired velocity to current velocity difference (default: 0.6) beta: float, optional gain on lead car velocity and self velocity difference (default: 0.9) h_st: float, optional headway for stopping (default: 5) h_go: float, optional headway for full speed (default: 35) v_max: float, optional max velocity (default: 30) accel_max: float, optional max acceleration (default: 15) decel_max: float, optional max deceleration (default: -5) tau: float, optional time delay (default: 0.5) dt: float, optional timestep (default: 0.1) noise: float, optional std dev of normal perturbation to the acceleration (default: 0) """ controller_params = {"delay": tau/dt, "max_deaccel": decel_max, "noise": noise} BaseController.__init__(self, veh_id, controller_params) self.accel_queue = collections.deque() self.decel_max = decel_max self.accel_max = accel_max self.veh_id = veh_id self.v_max = v_max self.alpha = alpha self.beta = beta self.h_st = h_st self.h_go = h_go self.tau = tau self.dt = dt def get_accel(self, env): lead_id = env.vehicles.get_leader(self.veh_id) if not lead_id: # no car ahead return self.accel_max lead_vel = env.vehicles.get_speed(lead_id) this_vel = env.vehicles.get_speed(self.veh_id) h = env.vehicles.get_headway(self.veh_id) h_dot = lead_vel - this_vel # V function here - input: h, output : Vh if h <= self.h_st: Vh = 0 elif self.h_st < h < self.h_go: Vh = self.v_max / 2 * (1 - math.cos(math.pi * (h - self.h_st) / (self.h_go - self.h_st))) else: Vh = self.v_max acc = self.alpha*(Vh - this_vel) + self.beta*(h_dot) while len(self.accel_queue) <= self.delay: # Some behavior here for initial states - extrapolation, dumb # filling (currently), etc self.accel_queue.appendleft(acc) return max(min(self.accel_queue.pop(), self.accel_max), -1 * abs(self.decel_max)) def reset_delay(self, env): self.accel_queue.clear() class LinearOVM(BaseController): def __init__(self, veh_id, v_max=30, accel_max=15, decel_max=-5, adaptation=0.65, h_st=5, tau=0.5, dt=0.1, noise=0): """ Instantiates a Linear OVM controller Attributes ---------- veh_id: str Vehicle ID for SUMO identification v_max: float, optional max velocity (default: 30) accel_max: float, optional max acceleration (default: 15) decel_max: float, optional max deceleration (default: -5) adaptation: float adaptation constant (default: 0.65) h_st: float, optional headway for stopping (default: 5) tau: float, optional time delay (default: 0.5) dt: float, optional timestep (default: 0.1) noise: float, optional std dev of normal perturbation to the acceleration (default: 0) """ controller_params = {"delay": tau / dt, "max_deaccel": decel_max, "noise": noise} BaseController.__init__(self, veh_id, controller_params) self.accel_queue = collections.deque() self.decel_max = decel_max self.acc_max = accel_max self.veh_id = veh_id # 4.8*1.85 for case I, 3.8*1.85 for case II, per Nakayama self.v_max = v_max # TAU in Traffic Flow Dynamics textbook self.adaptation = adaptation self.h_st = h_st self.delay_time = tau self.dt = dt def get_accel(self, env): this_vel = env.vehicles.get_speed(self.veh_id) h = env.vehicles.get_headway(self.veh_id) # V function here - input: h, output : Vh alpha = 1.689 # the average value from Nakayama paper if h < self.h_st: Vh = 0 elif self.h_st <= h <= self.h_st + self.v_max/alpha: Vh = alpha * (h - self.h_st) else: Vh = self.v_max acc = (Vh - this_vel) / self.adaptation while len(self.accel_queue) <= self.delay: # Some behavior here for initial states - extrapolation, dumb # filling (currently), etc self.accel_queue.appendleft(acc) return max(min(self.accel_queue.pop(), self.acc_max), -1 * abs(self.decel_max)) def reset_delay(self, env): self.accel_queue.clear() class IDMController(BaseController): def __init__(self, veh_id, v0=30, T=1, a=1, b=1.5, delta=4, s0=2, s1=0, decel_max=-5, dt=0.1, noise=0): """ Instantiates an Intelligent Driver Model (IDM) controller Attributes ---------- veh_id: str Vehicle ID for SUMO identification v0: float, optional desirable velocity, in m/s (default: 30) T: float, optional safe time headway, in s (default: 1) a: float, optional maximum acceleration, in m/s2 (default: 1) b: float, optional comfortable deceleration, in m/s2 (default: 1.5) delta: float, optional acceleration exponent (default: 4) s0: float, optional linear jam distance, in m (default: 2) s1: float, optional nonlinear jam distance, in m (default: 0) decel_max: float, optional max deceleration, in m/s2 (default: -5) dt: float, optional timestep, in s (default: 0.1) noise: float, optional std dev of normal perturbation to the acceleration (default: 0) """ tau = T # the time delay is taken to be the safe time headway controller_params = {"delay": tau / dt, "max_deaccel": decel_max, "noise": noise} BaseController.__init__(self, veh_id, controller_params) self.v0 = v0 self.T = T self.a = a self.b = b self.delta = delta self.s0 = s0 self.s1 = s1 self.max_deaccel = decel_max self.dt = dt def get_accel(self, env): this_vel = env.vehicles.get_speed(self.veh_id) lead_id = env.vehicles.get_leader(self.veh_id) h = env.vehicles.get_headway(self.veh_id) # negative headways may be registered by sumo at intersections/junctions # setting them to 0 causes vehicles to not move; therefore, we maintain # these negative headways to let sumo control the dynamics as it sees # fit at these points if abs(h) < 1e-3: h = 1e-3 if lead_id is None or lead_id == '': # no car ahead s_star = 0 else: lead_vel = env.vehicles.get_speed(lead_id) s_star = \ self.s0 + max([0, this_vel*self.T + this_vel*(this_vel-lead_vel) / (2 * np.sqrt(self.a * self.b))]) return self.a * (1 - (this_vel/self.v0)**self.delta - (s_star/h)**2) def reset_delay(self, env): pass class RandomController(BaseController): def __init__(self, veh_id, v0=30, T=1, a=1, b=1.5, delta=4, s0=2, s1=0, decel_max=-5, dt=0.1, noise=0): """ Instantiates an Intelligent Driver Model (IDM) controller Attributes ---------- veh_id: str Vehicle ID for SUMO identification v0: float, optional desirable velocity, in m/s (default: 30) T: float, optional safe time headway, in s (default: 1) a: float, optional maximum acceleration, in m/s2 (default: 1) b: float, optional comfortable deceleration, in m/s2 (default: 1.5) delta: float, optional acceleration exponent (default: 4) s0: float, optional linear jam distance, in m (default: 2) s1: float, optional nonlinear jam distance, in m (default: 0) decel_max: float, optional max deceleration, in m/s2 (default: -5) dt: float, optional timestep, in s (default: 0.1) noise: float, optional std dev of normal perturbation to the acceleration (default: 0) """ tau = T # the time delay is taken to be the safe time headway controller_params = {"delay": tau / dt, "max_deaccel": decel_max, "noise": noise} BaseController.__init__(self, veh_id, controller_params) self.v0 = v0 self.T = T self.a = a self.b = b self.delta = delta self.s0 = s0 self.s1 = s1 self.max_deaccel = decel_max self.dt = dt def get_accel(self, env): return np.clip(np.random.normal(self.a/2, 2*np.abs(self.a)), self.max_deaccel, self.a) #return np.random.uniform(self.max_deaccel, self.a) def reset_delay(self, env): pass

35.334081

94

0.578273

2,081

15,759

4.210956

0.129265

0.078626

0.031838

0.017802

0.76241

0.742782

0.726235

0.709004

0.692229

0.669976

0

0.021484

0.329526

15,759

445

95

35.413483

0.807874

0.401485

0

0.723404

0

0.015656

0

1

0.095745

false

0.010638

0.026596

0.005319

0.202128

0

null

0

1

0

1

0

1

0

null

0

5

5120509611a967e0d05797a24c393203ba37219e

115

py

Python

nmmis/contrib/district/admin.py

mgrsantox/nmmis

77f5bc0907c4fa7babe177a07ea144c2ac8b2eca

[ "BSD-2-Clause" ]

null

nmmis/contrib/district/admin.py

mgrsantox/nmmis

77f5bc0907c4fa7babe177a07ea144c2ac8b2eca

[ "BSD-2-Clause" ]

null

nmmis/contrib/district/admin.py

mgrsantox/nmmis

77f5bc0907c4fa7babe177a07ea144c2ac8b2eca

[ "BSD-2-Clause" ]

null

from django.contrib import admin from nmmis.contrib.district.models import District admin.site.register(District)

23

50

0.843478

16

115

6.0625

0.625

0

0.086957

115

4

51

28.75

0.92381

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

5148f36cd03e31e87b7d0060e35d755d0443ed5d

125

py

Python

constants.py

melodily/wordle-with-friends

2485c8b3127db3a921410463bab6a61f486aeb1d

[ "MIT" ]

null

constants.py

melodily/wordle-with-friends

2485c8b3127db3a921410463bab6a61f486aeb1d

[ "MIT" ]

null

constants.py

melodily/wordle-with-friends

2485c8b3127db3a921410463bab6a61f486aeb1d

[ "MIT" ]

null

SERVER_ERROR = 'Error encountered in the server. Please try again or email wordlewithfriendsbot@gmail.com with a bug report.'

125

0.816

19

125

5.315789

0.894737

0

0.128

125

1

125

0.926606

0

1

0.857143

0.238095

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

5a9cf2e6db7b7cec2470aeb414ded6f658743f59

26

py

Python

Baekjoon/Python/18108.py

KHJcode/Algorithm-study

fa08d3c752fcb3557fd45fb394157926afc0de4a

[ "MIT" ]

2

2020-05-23T01:55:38.000Z

2020-07-07T15:59:00.000Z

Baekjoon/Python/18108.py

KHJcode/Algorithm-study

fa08d3c752fcb3557fd45fb394157926afc0de4a

[ "MIT" ]

null

Baekjoon/Python/18108.py

KHJcode/Algorithm-study

fa08d3c752fcb3557fd45fb394157926afc0de4a

[ "MIT" ]

null

print(int(input()) - 543)

13

25

0.615385

4

26

4

1

0

0.130435

0.115385

26

1

26

0.565217

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

5af13a91650ee48f7e635002cfd84d573546a2a9

61

py

Python

my_library/predictor/__init__.py

ShalyginaA/allennlp-language-predictor

aea24460817edac188175a5719d7c64a7111386e

[ "MIT" ]

null

my_library/predictor/__init__.py

ShalyginaA/allennlp-language-predictor

aea24460817edac188175a5719d7c64a7111386e

[ "MIT" ]

null

my_library/predictor/__init__.py

ShalyginaA/allennlp-language-predictor

aea24460817edac188175a5719d7c64a7111386e

[ "MIT" ]

null

from my_library.predictor.predictor import LanguagePredictor

30.5

60

0.901639

7

61

7.714286

0.857143

0

0.065574

61

1

61

0.947368

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

852cfe392f822bd3eebca963ab910277fcfc59fa

78

py

Python

backend/tests/factories/__init__.py

willrp/willbuyer

069836a91c777ede6f62a16daa9f26e555d66bcb

[ "MIT" ]

4

2020-02-19T09:27:23.000Z

2021-11-26T00:42:06.000Z

backend/tests/factories/__init__.py

willrp/willbuyer

069836a91c777ede6f62a16daa9f26e555d66bcb

[ "MIT" ]

null

backend/tests/factories/__init__.py

willrp/willbuyer

069836a91c777ede6f62a16daa9f26e555d66bcb

[ "MIT" ]

null

from .oauth_factory import OAuthFactory from .user_factory import UserFactory

26

39

0.871795

10

78

6.6

0.7

0.393939

0

0.102564

78

2

40

39

0.942857

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

5178abcf714d0d6c538bbd201e3e7112723ae1b5

13

py

Python

dev.py

drequena/repo-luz

d8bdde66708a5311ebb499b6b8a64aa9d28c46d3

[ "Apache-2.0" ]

null

dev.py

drequena/repo-luz

d8bdde66708a5311ebb499b6b8a64aa9d28c46d3

[ "Apache-2.0" ]

null

dev.py

drequena/repo-luz

d8bdde66708a5311ebb499b6b8a64aa9d28c46d3

[ "Apache-2.0" ]

null

print("Dev")

6.5

12

0.615385

2

13

4

1

0

0.076923

13

1

13

0.666667

0

0.230769

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

51ce5342c9b108c49f19014eaf4239e85f1ef56f

322

py

Python

twitter_credentials.py

abrahes12-day/Web-Scraping-Tweepy

86b0f9fdd842e8c7797bf35e744a5f26d2df360b

[ "MIT" ]

null

twitter_credentials.py

abrahes12-day/Web-Scraping-Tweepy

86b0f9fdd842e8c7797bf35e744a5f26d2df360b

[ "MIT" ]

null

twitter_credentials.py

abrahes12-day/Web-Scraping-Tweepy

86b0f9fdd842e8c7797bf35e744a5f26d2df360b

[ "MIT" ]

null

# Variables that contain the user credentials to access Twitter API. ACCESS_TOKEN = "570634225-AnsM63tVCpI4yeFwpj6QfSJTwm3pUx6onf30fI2Z" ACCESS_TOKEN_SECRET = "ykA5CW0lWpl3VDiIRqJ5rhJjsQc6fyt0pps22tLAywXUJ" CONSUMER_KEY = "iRwp1I7vH0cBoWNIO5w0uxURN" CONSUMER_SECRET = "5rA8XDisNbzwTueiCiZG7JXEZe5T4HRiwLbFjWMTWlyNoU35r4"

46

70

0.878882

24

322

11.583333

0.791667

0.079137

0

0.130872

0.074534

322

6

71

53.666667

0.802013

0.204969

0

0.669291

0

1

0

false

0

1

0

1

null

0

1

0

1

null

0

5

51e1119d35fb52b9d4df26112adcdc4610e947dc

264

py

Python

ann_three_body/learning/util.py

mruijzendaal/python_ann_three_body

9380b0f7e4eaf7f481d8cdf34250e8475fe32a24

[ "MIT" ]

null

ann_three_body/learning/util.py

mruijzendaal/python_ann_three_body

9380b0f7e4eaf7f481d8cdf34250e8475fe32a24

[ "MIT" ]

4

2020-11-13T18:44:52.000Z

2022-02-10T01:35:23.000Z

ann_three_body/learning/util.py

mruijzendaal/python_ann_three_body

9380b0f7e4eaf7f481d8cdf34250e8475fe32a24

[ "MIT" ]

null

def split_data(input, output, validation_percentage=0.1): num_sets = output.shape[0] num_validation = int(num_sets * validation_percentage) return (input[:-num_validation], output[:-num_validation]), (input[-num_validation:], output[-num_validation:])

52.8

115

0.746212

34

264

5.5

0.411765

0.347594

0.192513

0.256684

0.395722

0

0.012766

0.109848

264

4

116

66

0.782979

0

1

0.25

false

0

0.5

0

null

1

0

1

0

null

0

1

0

5

51e2f540cacd3b5bd352e4cf7636d2883a0ff40e

76

py

Python

include/tclap-1.4.0-rc1/tests/test90.py

SpaceKatt/cpp-cli-poc

02ffefea2fc6e999fa2b27d08a8b3be6830b1b97

[ "BSL-1.0" ]

62

2021-09-21T18:58:02.000Z

2022-03-07T02:17:43.000Z

third_party/tclap-1.4.0-rc1/tests/test90.py

Vertexwahn/FlatlandRT

37d09fde38b25eff5f802200b43628efbd1e3198

[ "Apache-2.0" ]

null

third_party/tclap-1.4.0-rc1/tests/test90.py

Vertexwahn/FlatlandRT

37d09fde38b25eff5f802200b43628efbd1e3198

[ "Apache-2.0" ]

null

#!/usr/bin/python import simple_test simple_test.test("test29", ["-h", ])

12.666667

36

0.671053

11

76

4.454545

0.727273

0.408163

0

0.029412

0.105263

76

5

37

15.2

0.691176

0.210526

0

0.135593

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

51e76030180785b46f9c554e2dcd4d90b82ca1fa

141

py

Python

mudi/plotting/__init__.py

getzlab/mudi

eda170119708e59920c23a03834af915ecca24ce

[ "MIT" ]

1

2021-11-04T00:08:00.000Z

mudi/plotting/__init__.py

getzlab/mudi

eda170119708e59920c23a03834af915ecca24ce

[ "MIT" ]

null

mudi/plotting/__init__.py

getzlab/mudi

eda170119708e59920c23a03834af915ecca24ce

[ "MIT" ]

null

from .qc import adata_qc, adata_qc_grid from .de import volcano_plot from .enrich import pw_enrichment from .misc import plot_barplot_a_by_b

28.2

39

0.843972

26

141

4.230769

0.615385

0.127273

0

0.120567

141

4

40

35.25

0.887097

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

cfa2a19a6fee9411efccdfb482457383e23112e9

19

py

Python

posthog/version.py

Algogator/posthog

764e10696b6ee9cba927b38e0789ed896f5d67dd

[ "MIT" ]

null

posthog/version.py

Algogator/posthog

764e10696b6ee9cba927b38e0789ed896f5d67dd

[ "MIT" ]

null

posthog/version.py

Algogator/posthog

764e10696b6ee9cba927b38e0789ed896f5d67dd

[ "MIT" ]

null

VERSION = "1.13.0"

9.5

18

0.578947

4

19

2.75

1

0

0.25

0.157895

19

1

19

0.4375

0

0.315789

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

cfb9c80e9041d86fce1446f5ea75be15ef468ae9

192

py

Python

pytesster.py

HuizhangXu/BJTU_Grab_Class

f6f58f3a14c8215733ea9c52a52dbd142f161e97

[ "MIT" ]

4

2019-08-28T10:53:56.000Z

2021-06-08T02:32:09.000Z

pytesster.py

HuizhangXu/BJTU_Grab_Class

f6f58f3a14c8215733ea9c52a52dbd142f161e97

[ "MIT" ]

null

pytesster.py

HuizhangXu/BJTU_Grab_Class

f6f58f3a14c8215733ea9c52a52dbd142f161e97

[ "MIT" ]

null

from PIL import Image import pytesser import pytesseract image = Image.open('test.jpg') print(pytesseract.image_file_to_string('test.jpg')) print(pytesseract.image_to_string(image))

21.333333

52

0.776042

27

192

5.333333

0.481481

0.333333

0.166667

0.319444

0.388889

0

0.119792

192

8

53

24

0.852071

0

0.086957

0

1

0

false

0

0.5

0

0.5

0.333333

1

0

null

1

0

1

0

1

0

null

0

1

0

5

cfe874e110bb95201d21ec88573684fcbfff0dff

158

py

Python

classes/wars.py

aarkwright/pyThia

064b25f433b055b9187dfae9a83907a3f9b47100

[ "MIT" ]

null

classes/wars.py

aarkwright/pyThia

064b25f433b055b9187dfae9a83907a3f9b47100

[ "MIT" ]

null

classes/wars.py

aarkwright/pyThia

064b25f433b055b9187dfae9a83907a3f9b47100

[ "MIT" ]

null

from .helpers import * class War(ESIBase): def __init__(self, app, client): super().__init__(app, client) def get_wars(self): pass

15.8

37

0.613924

20

158

4.4

0.75

0.204545

0

0.265823

158

9

38

17.555556

0.758621

0

1

0.333333

false

0.166667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

cfeffd41ed8561bf926ed92f85a292a0d9b2f377

112

py

Python

hub/models/__init__.py

harenlewis/api-hub

f79cd8b82e95c039269765a4542866286803a322

[ "MIT" ]

null

hub/models/__init__.py

harenlewis/api-hub

f79cd8b82e95c039269765a4542866286803a322

[ "MIT" ]

2

2020-06-05T19:41:09.000Z

2021-06-10T21:07:30.000Z

hub/models/__init__.py

harenlewis/api-hub

f79cd8b82e95c039269765a4542866286803a322

[ "MIT" ]

null

from .projects import Project from .apis import Api from .permissions import APIPermissions from .types import *

28

39

0.821429

15

112

6.133333

0.6

0

0.133929

112

4

40

28

0.948454

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

cff9f88274481686df449003ce13d6828ce565ea

72

py

Python

atlas/foundations_events/src/integration/__init__.py

DeepLearnI/atlas

8aca652d7e647b4e88530b93e265b536de7055ed

[ "Apache-2.0" ]

296

2020-03-16T19:55:00.000Z

2022-01-10T19:46:05.000Z

atlas/foundations_events/src/integration/__init__.py

DeepLearnI/atlas

8aca652d7e647b4e88530b93e265b536de7055ed

[ "Apache-2.0" ]

57

2020-03-17T11:15:57.000Z

2021-07-10T14:42:27.000Z

atlas/foundations_events/src/integration/__init__.py

DeepLearnI/atlas

8aca652d7e647b4e88530b93e265b536de7055ed

[ "Apache-2.0" ]

38

2020-03-17T21:06:05.000Z

2022-02-08T03:19:34.000Z

import foundations from integration.test_consumers import TestConsumers

24

52

0.902778

8

72

8

0.875

0

0.083333

72

3

52

24

0.969697

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

5c619374c3e3b568269594210e18079873113b10

56

py

Python

account/views.py

shrimp509/django_message_board

b8ba07c4d912408664319c2c09c24ea6caad26f6

[ "MIT" ]

1

2021-01-22T08:43:05.000Z

account/views.py

shrimp509/django_message_board

b8ba07c4d912408664319c2c09c24ea6caad26f6

[ "MIT" ]

5

2021-03-19T00:50:09.000Z

2021-09-22T18:44:18.000Z

account/views.py

shrimp509/django_message_board

b8ba07c4d912408664319c2c09c24ea6caad26f6

[ "MIT" ]

null

from django.shortcuts import render # no views but api

14

35

0.785714

9

56

4.888889

1

0

0.178571

56

3

36

18.666667

0.956522

0.285714

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

5caac28b836683d4c48708d1c07cd5d48dbe297d

204

py

Python

skeema/intermediate/__init__.py

HeadHaus/Skeema

fc0faf13afad2c95b8943eaa3bfc2cc23b7de003

[ "MIT" ]

null

skeema/intermediate/__init__.py

HeadHaus/Skeema

fc0faf13afad2c95b8943eaa3bfc2cc23b7de003

[ "MIT" ]

null

skeema/intermediate/__init__.py

HeadHaus/Skeema

fc0faf13afad2c95b8943eaa3bfc2cc23b7de003

[ "MIT" ]

null

from .class_context import ClassContext from .compilation_context import CompilationContext from .data_member import DataMember from .parameter import Parameter from .representation import Representation

34

51

0.877451

23

204

7.652174

0.521739

0.147727

0

0.098039

204

5

52

40.8

0.956522

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

5cc9c4c2a033ee8c93e08be45e027453fb600c83

91

py

Python

Python3/Lists/swapping.py

norbertosanchezdichi/TIL

2e9719ddd288022f53b094a42679e849bdbcc625

[ "MIT" ]

null

Python3/Lists/swapping.py

norbertosanchezdichi/TIL

2e9719ddd288022f53b094a42679e849bdbcc625

[ "MIT" ]

null

Python3/Lists/swapping.py

norbertosanchezdichi/TIL

2e9719ddd288022f53b094a42679e849bdbcc625

[ "MIT" ]

null

names = ['John', 'Mary'] print(names) names[0], names[1] = names[1], names[0] print(names)

18.2

39

0.626374

15

91

3.8

0.4

0.350877

0.385965

0

0.05

0.120879

91

5

40

18.2

0.6625

0

0.5

0

0.086957

0

1

0

false

0

0.5

1

0

null

1

0

1

0

null

0

1

0

5

7a2f84a10f83258d00931595483e34d21857a54c

233

py

Python

algo/PDL1net/PDL1netTester.py

itamargru/pathologylab

11bc839301460ab959137aef9c2f96b2ee5a5da9

[ "Unlicense" ]

null

algo/PDL1net/PDL1netTester.py

itamargru/pathologylab

11bc839301460ab959137aef9c2f96b2ee5a5da9

[ "Unlicense" ]

null

algo/PDL1net/PDL1netTester.py

itamargru/pathologylab

11bc839301460ab959137aef9c2f96b2ee5a5da9

[ "Unlicense" ]

1

2021-03-25T16:20:10.000Z

class PDL1netTester: """ class represents a PDL1 net Tester """ def __init__(self): pass def test(self): pass # TODO: add here function to show results and compare different settings result

17.923077

83

0.626609

28

233

5.071429

0.857143

0.112676

0

0.012422

0.309013

233

12

84

19.416667

0.869565

0.484979

0

0.4

0

0.083333

0

1

0.4

false

0.4

0

0.6

0

1

0

null

0

null

0

1

0

1

0

1

0

1

0

5

7a73b084c360609a225d9aad6ac427126687eac2

82

py

Python

bili_kits/account/__init__.py

LonelySteve/Bili-Kits

42e536400b2f35d57e5871de34303b6f2fc901ed

[ "MIT" ]

null

bili_kits/account/__init__.py

LonelySteve/Bili-Kits

42e536400b2f35d57e5871de34303b6f2fc901ed

[ "MIT" ]

null

bili_kits/account/__init__.py

LonelySteve/Bili-Kits

42e536400b2f35d57e5871de34303b6f2fc901ed

[ "MIT" ]

null

from .user import BaseUser,WebUser,ClientUser,UserNotLoginError,get_user_card_info

82

0.902439

11

82

6.454545

0.909091

0

0.036585

82

1

82

0.898734

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

7a8029358015421569438f7b5dd805c889af9da0

97

py

Python

cryptodock_suite/actions/order_rate_over_time/__init__.py

the-launch-tech/cryptodock-suite

360d90c3531322b43df8df5e64ebbffc3241fe07

[ "MIT" ]

null

cryptodock_suite/actions/order_rate_over_time/__init__.py

the-launch-tech/cryptodock-suite

360d90c3531322b43df8df5e64ebbffc3241fe07

[ "MIT" ]

null

cryptodock_suite/actions/order_rate_over_time/__init__.py

the-launch-tech/cryptodock-suite

360d90c3531322b43df8df5e64ebbffc3241fe07

[ "MIT" ]

null

__all__ = [ 'order_rate_over_time' ] from .order_rate_over_time import order_rate_over_time

16.166667

54

0.793814

15

97

4.266667

0.466667

0.421875

0.609375

0.796875

0

0.14433

97

5

55

19.4

0.771084

0

0.206186

0

1

0

false

0

0.25

0

0.25

0

1

0

null

1

0

1

0

null

0

5

8f8f8e7db9c0000b59929ca76137ce5dc35b360c

622

py

Python

src/typeconvert/ufunc.py

jolsten/float-interpreter

ed090cee55012f2e72d451ca85ba0528ed203b4d

[ "MIT" ]

1

2022-02-03T01:46:52.000Z

src/typeconvert/ufunc.py

jolsten/float-interpreter

ed090cee55012f2e72d451ca85ba0528ed203b4d

[ "MIT" ]

null

src/typeconvert/ufunc.py

jolsten/float-interpreter

ed090cee55012f2e72d451ca85ba0528ed203b4d

[ "MIT" ]

null

from typeconvert.types.onescomp import ufunc as onescomp from typeconvert.types.twoscomp import ufunc as twoscomp from typeconvert.types.milstd1750a32 import ufunc as milstd1750a32 from typeconvert.types.milstd1750a48 import ufunc as milstd1750a48 from typeconvert.types.ti32 import ufunc as ti32 from typeconvert.types.ti40 import ufunc as ti40 from typeconvert.types.dec32 import ufunc as dec32 from typeconvert.types.dec64 import ufunc as dec64 from typeconvert.types.dec64g import ufunc as dec64g from typeconvert.types.ibm32 import ufunc as ibm32 from typeconvert.types.ibm64 import ufunc as ibm64

38.875

67

0.827974

88

622

5.852273

0.193182

0.320388

0.427184

0

0.096834

0.136656

622

15

68

41.466667

0.862197

0

1

0

true

0

1

0

1

0

null

1

0

null

0

1

0

1

0

1

0

5

8fa13894d499cc909aab93389abfa2b994be215a

113

py

Python

sleekxmpp/thirdparty/__init__.py

EnerNOC/smallfoot-sleekxmpp

b3e4d92816df3538e99a5ad1ab536fc38f5ee97a

[ "MIT" ]

null

sleekxmpp/thirdparty/__init__.py

EnerNOC/smallfoot-sleekxmpp

b3e4d92816df3538e99a5ad1ab536fc38f5ee97a

[ "MIT" ]

1

2020-04-10T22:09:06.000Z

sleekxmpp/thirdparty/__init__.py

EnerNOC/smallfoot-sleekxmpp

b3e4d92816df3538e99a5ad1ab536fc38f5ee97a

[ "MIT" ]

null

try: from collections import OrderedDict except: from sleekxmpp.thirdparty.ordereddict import OrderedDict

28.25

60

0.814159

12

113

7.666667

0.666667

0.369565

0

0.150442

113

4

60

28.25

0.958333

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

8f4510db9231d70738882f88514bb8736ee90d71

67

py

Python

pymt_sedflux3d/bmi.py

mcflugen/pymt_sedflux3d

136c9c2dfffbb3c389f8dacaf002fa0962c7dc48

[ "MIT" ]

null

pymt_sedflux3d/bmi.py

mcflugen/pymt_sedflux3d

136c9c2dfffbb3c389f8dacaf002fa0962c7dc48

[ "MIT" ]

1

2020-04-04T02:09:38.000Z

pymt_sedflux3d/bmi.py

mcflugen/pymt_sedflux3d

136c9c2dfffbb3c389f8dacaf002fa0962c7dc48

[ "MIT" ]

null

from __future__ import absolute_import from .lib import Sedflux3D

16.75

38

0.850746

9

67

5.777778

0.666667

0

0.017241

0.134328

67

3

39

22.333333

0.87931

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

71437258e8342236445a18f9818801ce852fe4c8

131

py

Python

app/api/__init__.py

ivelinahristova/webanalysis

ff73b65799dc1465b9138a8742ea74b9da171c8d

[ "MIT" ]

null

app/api/__init__.py

ivelinahristova/webanalysis

ff73b65799dc1465b9138a8742ea74b9da171c8d

[ "MIT" ]

8

2021-04-10T17:55:31.000Z

2021-04-19T14:45:14.000Z

app/api/__init__.py

ivelinahristova/webanalysis

ff73b65799dc1465b9138a8742ea74b9da171c8d

[ "MIT" ]

null

""" app.api ~~~~~~~~~~~~~~~~~~ This module contains views for project's API service. """ from app.api.views import api

18.714286

57

0.564885

17

131

4.352941

0.705882

0.162162

0

0.21374

131

7

58

18.714286

0.718447

0.610687

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

856e4c91f5ac6bb0743f0f72a293e80b96b180c7

160

py

Python

sumy/constants.py

gsandeep1241/TextSummarizer

fc9af3cf3a74114db94a837d5d20c16a08f806be

[ "Apache-2.0" ]

null

sumy/constants.py

gsandeep1241/TextSummarizer

fc9af3cf3a74114db94a837d5d20c16a08f806be

[ "Apache-2.0" ]

5

2020-03-24T16:36:34.000Z

2021-12-13T19:53:21.000Z

sumy/constants.py

gsandeep1241/TextSummarizer

fc9af3cf3a74114db94a837d5d20c16a08f806be

[ "Apache-2.0" ]

null

PATH = '../DUC_data/DUC2006/duc2006_docs/' GtPath = '../DUC_data/DUC2006/NISTeval/ROUGE/peers/' googlePath = '../../../../../GoogleNews-vectors-negative300.bin'

53.333333

64

0.69375

18

160

6

0.777778

0.12963

0.259259

0

0.098684

0.05

160

3

64

53.333333

0.611842

0

0.763975

0

1

0

false

0

1

0

null

0

1

0

1

0

1

null

0

5

8593c4ce4caf899224de50db467b06bd079e9209

91

py

Python

src/poliastro/tests/test_examples.py

aOrionis/poliastro

7e73dbcafd837854dba8db1910477b6df3eace93

[ "MIT" ]

1

2018-12-09T18:33:52.000Z

src/poliastro/tests/test_examples.py

aOrionis/poliastro

7e73dbcafd837854dba8db1910477b6df3eace93

[ "MIT" ]

null

src/poliastro/tests/test_examples.py

aOrionis/poliastro

7e73dbcafd837854dba8db1910477b6df3eace93

[ "MIT" ]

1

2021-11-24T12:00:27.000Z

# This line tests all the statements so far from poliastro import examples # flake8: noqa

30.333333

46

0.78022

14

91

5.071429

1

0

0.013514

0.186813

91

2

47

45.5

0.945946

0.593407

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

85949f6f8253666555c52f20b76f9c36e2cab349

26

py

Python

project/experiments/exp_035_fight_smp_benchmark/src/gym_envs/smp_envs.py

liusida/thesis-bodies

dceb8a36efd2cefc611f6749a52b56b9d3572f7a

[ "MIT" ]

null

project/experiments/exp_035_fight_smp_benchmark/src/gym_envs/smp_envs.py

liusida/thesis-bodies

dceb8a36efd2cefc611f6749a52b56b9d3572f7a

[ "MIT" ]

null

project/experiments/exp_035_fight_smp_benchmark/src/gym_envs/smp_envs.py

liusida/thesis-bodies

dceb8a36efd2cefc611f6749a52b56b9d3572f7a

[ "MIT" ]

null

class SMPRobot(): pass

13

17

0.653846

3

26

5.666667

1

0

0.230769

26

2

18

13

0.85

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

859b1d5614819d130ad938bbcedb7b369e053205

19

py

Python

hello.py

NateLovallo/megafun

86cb59414b84c95490255c97bfb42c109878e6bb

[ "MIT" ]

null

hello.py

NateLovallo/megafun

86cb59414b84c95490255c97bfb42c109878e6bb

[ "MIT" ]

null

hello.py

NateLovallo/megafun

86cb59414b84c95490255c97bfb42c109878e6bb

[ "MIT" ]

null

print 'hello you'

6.333333

17

0.684211

3

19

4.333333

1

0

0.210526

19

2

18

9.5

0.866667

0

0.5

0

null

0

null

1

0

null

0

1

0

null

0

1

0

1

0

5

85a5d3ff6e11da5e852964d1671d1216824383ee

12,368

py

Python

installer.py

erick-dsnk/Electric

7e8aad1f792321d7839717ed97b641bee7a4a64e

[ "Apache-2.0" ]

null

installer.py

erick-dsnk/Electric

7e8aad1f792321d7839717ed97b641bee7a4a64e

[ "Apache-2.0" ]

null

installer.py

erick-dsnk/Electric

7e8aad1f792321d7839717ed97b641bee7a4a64e

[ "Apache-2.0" ]

null

###################################################################### # OFFICIAL ELECTRIC INSTALLER # ###################################################################### import os os.system('pip install tqdm') os.system('pip install requests') os.system('pip install click') import click click.echo(click.style('All Installer Dependencies Installed!', fg='green')) import argparse import requests import zipfile import ctypes import shutil import tqdm import sys class Metadata: def __init__(self, silent, verbose): self.silent = silent self.verbose = verbose parser = argparse.ArgumentParser(description='Electric Installer') parser.add_argument('--silent', action='store_true') parser.add_argument('--verbose', action='store_true') args = parser.parse_args() metadata = Metadata(args.silent, args.verbose) def write(text: str, color: str, metadata: Metadata): if not metadata.silent: click.echo(click.style(text, fg=color)) def write_verbose(text: str, color: str, metadata: Metadata): if not metadata.silent and metadata.verbose: click.echo(click.style(text, fg=color)) def isAdmin(): try: is_admin = (os.getuid() == 0) except AttributeError: is_admin = ctypes.windll.shell32.IsUserAnAdmin() != 0 return is_admin while True: if not metadata.silent: try: installation = int(input( 'Enter 1 For Default Installation \nEnter 2 For Custom Installation\n>> ')) break except ValueError: write('Please Enter A Valid Number [1 or 2]', 'red', metadata) else: installation = 1 if isAdmin() and installation == 1: parent_dir = r'C:\\' electric_dir = parent_dir + 'Electric' write_verbose( f'Creating Directory Electric at {parent_dir} With Destination {electric_dir}', 'bright_yellow', metadata) os.mkdir(electric_dir) write(R'Successfully Created Directory At C:\Electric', 'green', metadata) write_verbose( f'Downloading Electric.zip From /install To {electric_dir}\\Electric.zip', 'bright_yellow', metadata) with open(f'{electric_dir}\\Electric.zip', 'wb') as f: response = requests.get( 'https://electric-package-manager.herokuapp.com/install/windows/zip', stream=True) total_length = response.headers.get('content-length') if total_length is None: f.write(response.content) else: dl = 0 full_length = int(total_length) for data in response.iter_content(chunk_size=7096): dl += len(data) f.write(data) complete = int(20 * dl / full_length) fill_c, unfill_c = '#' * complete, ' ' * (20 - complete) sys.stdout.write( f'\r[{fill_c}{unfill_c}] ⚡ {round(dl / full_length * 100, 1)} % ⚡ {round(dl / 1000000, 1)} / {round(full_length / 1000000, 1)} MB ') sys.stdout.flush() write('\nSuccessfully Downloaded Electric.zip', 'green', metadata) write('Unzipping Electric.zip', 'green', metadata) write_verbose( f'Unzipping Electric.zip at {electric_dir}\\Electric.zip', 'yellow', metadata) with zipfile.ZipFile(f'{electric_dir}\\Electric.zip') as zf: for member in tqdm.tqdm(zf.infolist(), smoothing=1.0, ncols=60): try: zf.extract(member, f'{electric_dir}\\electric-dist') except zipfile.error as e: pass os.remove(f'{electric_dir}\\Electric.zip') os.rename(f'{electric_dir}\electric-dist', Rf'{electric_dir}\file') shutil.move(Rf'{electric_dir}\file\electric-dist', f'{electric_dir}\electric') shutil.rmtree(Rf'C:\Electric\file') write('Successfully Unzipped And Extracted Electric.zip', 'green', metadata) write('Successfully Installed Electric, Type `electric` To Get A List Of Help Commands!', 'green', metadata) if isAdmin() and installation == 2 and not metadata.silent: install_directory = input('Enter the directory you would like to install electric to:\n\n[Enter `DEFAULT` for default directory]\nNOTE:[Don\'t Include `\Electric` In Path]\n>> ') if install_directory: while True: if not metadata.silent: compression_type = input( 'Enter .zip For A ZIP Installation \nEnter .7z For A 7-ZIP Installation\nEnter .tar For A TAR Installation\n>> ') if compression_type not in ['.zip', '.7z', '.tar']: sys.exit(1) break if compression_type == '.zip': if install_directory == 'DEFAULT': parent_dir = r'C:\\' else: parent_dir = install_directory + '\\' electric_dir = parent_dir + 'Electric' write_verbose( f'Creating Directory Electric at {parent_dir} With Destination {electric_dir}', 'bright_yellow', metadata) os.mkdir(electric_dir) write(Rf'Successfully Created Directory At {electric_dir}', 'green', metadata) write_verbose( f'Downloading Electric.zip From /install To {electric_dir}\\Electric.zip', 'bright_yellow', metadata) with open(f'{electric_dir}\\Electric.zip', 'wb') as f: response = requests.get( 'https://electric-package-manager.herokuapp.com/install/windows/zip', stream=True) total_length = response.headers.get('content-length') if total_length is None: f.write(response.content) else: dl = 0 full_length = int(total_length) for data in response.iter_content(chunk_size=7096): dl += len(data) f.write(data) complete = int(20 * dl / full_length) fill_c, unfill_c = '#' * complete, ' ' * (20 - complete) sys.stdout.write( f'\r[{fill_c}{unfill_c}] ⚡ {round(dl / full_length * 100, 1)} % ⚡ {round(dl / 1000000, 1)} / {round(full_length / 1000000, 1)} MB ') sys.stdout.flush() write('\nSuccessfully Downloaded Electric.zip', 'green', metadata) write('Unzipping Electric.zip', 'green', metadata) write_verbose( f'Unzipping Electric.zip at {electric_dir}\\Electric.zip', 'yellow', metadata) with zipfile.ZipFile(f'{electric_dir}\\Electric.zip') as zf: for member in tqdm.tqdm(zf.infolist(), smoothing=1.0, ncols=60): try: zf.extract(member, f'{electric_dir}\\electric-dist') except zipfile.error as e: pass os.remove(f'{electric_dir}\\Electric.zip') os.rename(f'{electric_dir}\electric-dist', Rf'{electric_dir}\file') print(electric_dir) shutil.move(Rf'{electric_dir}\file\electric-dist', f'{electric_dir}\electric') shutil.rmtree(Rf'{electric_dir}\file') write('Successfully Unzipped And Extracted Electric.zip', 'green', metadata) write('Running setup.py For Electric', 'green', metadata) os.chdir(Rf'{electric_dir}\electric') write('Successfully Installed Electric, Type `electric` To Get A List Of Help Commands!', 'green', metadata) if compression_type == '.7z': os.system('pip install py7zr') click.echo(click.style('Successfully Installed All .7z Dependencies!', fg='green')) if install_directory == 'DEFAULT': parent_dir = r'C:\\' else: parent_dir = install_directory + '\\' electric_dir = parent_dir + 'Electric' write_verbose( f'Creating Directory Electric at {parent_dir} With Destination {electric_dir}', 'bright_yellow', metadata) os.mkdir(electric_dir) write(Rf'Successfully Created Directory At {electric_dir}', 'green', metadata) write_verbose( f'Downloading Electric.zip From /install To {electric_dir}\\Electric.7z', 'bright_yellow', metadata) with open(f'{electric_dir}\\Electric.7z', 'wb') as f: response = requests.get( 'https://electric-package-manager.herokuapp.com/install/windows/7z', stream=True) total_length = response.headers.get('content-length') if total_length is None: f.write(response.content) else: dl = 0 full_length = int(total_length) for data in response.iter_content(chunk_size=7096): dl += len(data) f.write(data) complete = int(20 * dl / full_length) fill_c, unfill_c = '#' * complete, ' ' * (20 - complete) sys.stdout.write( f'\r[{fill_c}{unfill_c}] ⚡ {round(dl / full_length * 100, 1)} % ⚡ {round(dl / 1000000, 1)} / {round(full_length / 1000000, 1)} MB ') sys.stdout.flush() import py7zr archive = py7zr.SevenZipFile(f'{electric_dir}\\Electric.7z', 'r') archive.extractall(electric_dir) archive.close() os.remove(f'{electric_dir}\\Electric.7z') os.rename(f'{electric_dir}\\electric-dist', f'{electric_dir}\\electric') write('\nSuccessfully Unzipped And Extracted Electric.7z', 'green', metadata) os.chdir(Rf'{electric_dir}\electric') write('Successfully Installed Electric, Type `electric` To Get A List Of Help Commands!', 'green', metadata) if compression_type == '.tar': if install_directory == 'DEFAULT': parent_dir = r'C:\\' else: parent_dir = install_directory + '\\' electric_dir = parent_dir + 'Electric' write_verbose( f'Creating Directory Electric at {parent_dir} With Destination {electric_dir}', 'bright_yellow', metadata) os.mkdir(electric_dir) write(Rf'Successfully Created Directory At {electric_dir}', 'green', metadata) write_verbose( f'Downloading Electric.zip From /install To {electric_dir}\\Electric.tar', 'bright_yellow', metadata) with open(f'{electric_dir}\\Electric.tar', 'wb') as f: response = requests.get( 'https://electric-package-manager.herokuapp.com/install/windows/tar', stream=True) total_length = response.headers.get('content-length') if total_length is None: f.write(response.content) else: dl = 0 full_length = int(total_length) for data in response.iter_content(chunk_size=7096): dl += len(data) f.write(data) complete = int(20 * dl / full_length) fill_c, unfill_c = '#' * complete, ' ' * (20 - complete) sys.stdout.write( f'\r[{fill_c}{unfill_c}] ⚡ {round(dl / full_length * 100, 1)} % ⚡ {round(dl / 1000000, 1)} / {round(full_length / 1000000, 1)} MB ') sys.stdout.flush() import tarfile tar = tarfile.open(f'{electric_dir}\\Electric.tar') tar.extractall(electric_dir) tar.close() os.remove(f'{electric_dir}\\Electric.tar') os.rename(f'{electric_dir}\\electric-dist', f'{electric_dir}\\electric') write('\nSuccessfully Unzipped And Extracted Electric.tar', 'green', metadata) os.chdir(Rf'{electric_dir}\electric') write('Successfully Installed Electric, Type `electric` To Get A List Of Help Commands!', 'green', metadata) if not isAdmin(): click.echo(click.style( 'Retry Installation With Administrator Permissions', fg='red'), err=True)

45.470588

182

0.567594

1,382

12,368

4.965991

0.138929

0.086551

0.085823

0.064112

0.764534

0.760309

0.747778

0.738161

0.728544

0.714556

0

0.01742

0.303768

12,368

271

183

45.638376

0.778655

0.002183

0

0.674009

0

0.013216

0.33772

0.083155

0

1

0.017621

false

0.008811

0.048458

0

0.07489

0.004405

0

null

0

1

0

null

0

5

a4282424135e431f104c0bf3824b99ca40e73998

109

py

Python

playground/read_wifi_name.py

Shingirai98/EEE3097

b3880e163d1d195c52af16046e7d9f64fcb25676

[ "Apache-2.0" ]

12

2016-10-24T21:53:38.000Z

2021-01-09T12:07:53.000Z

playground/read_wifi_name.py

Shingirai98/EEE3097

b3880e163d1d195c52af16046e7d9f64fcb25676

[ "Apache-2.0" ]

14

2017-02-27T15:39:18.000Z

2019-11-25T19:58:16.000Z

playground/read_wifi_name.py

Shingirai98/EEE3097

b3880e163d1d195c52af16046e7d9f64fcb25676

[ "Apache-2.0" ]

5

2018-09-27T13:57:47.000Z

2021-01-09T12:07:11.000Z

import os wifi_name = os.popen("iw dev wlan0 link | grep SSID | awk '{print $2}'").read() print(wifi_name)

18.166667

79

0.669725

19

109

3.736842

0.789474

0.225352

0

0.021978

0.165138

109

5

80

21.8

0.758242

0

0.440367

0

1

0

false

0

0.333333

0

0.333333

0.666667

1

0

null

1

0

1

0

null

0

1

0

1

0

5

a43986ed893a75e4ed1f463ade811aae336ec616

219

py

Python

tests/EntityForTest.py

novaweb-mobi/nova-api

2887118ff10d18f366ce661262bd25bb96648470

[ "MIT" ]

3

2020-09-08T23:33:41.000Z

2021-12-24T20:50:13.000Z

tests/EntityForTest.py

novaweb-mobi/nova-api

2887118ff10d18f366ce661262bd25bb96648470

[ "MIT" ]

39

2020-07-29T12:34:14.000Z

2022-03-05T16:50:29.000Z

tests/EntityForTest.py

novaweb-mobi/nova-api

2887118ff10d18f366ce661262bd25bb96648470

[ "MIT" ]

1

2021-03-05T19:41:58.000Z

from dataclasses import dataclass, field from nova_api.entity import Entity @dataclass class EntityForTest(Entity): test_field: int = 0 not_to_add_field: str = field(default="", metadata={"database": False})

21.9

75

0.748858

29

219

5.482759

0.724138

0

0.005376

0.150685

219

9

76

24.333333

0.849462

0

0.03653

0

1

0

true

0

0.333333

0

0.833333

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

a4463e72421b8daeaa7e0c541bd74faeb28995dc

49

py

Python

apps/pyexe/hello_world.py

gzvulon/pydocflow

9184894630903f2aaf238cd70fff2d0cc9132b81

[ "MIT" ]

null

apps/pyexe/hello_world.py

gzvulon/pydocflow

9184894630903f2aaf238cd70fff2d0cc9132b81

[ "MIT" ]

null

apps/pyexe/hello_world.py

gzvulon/pydocflow

9184894630903f2aaf238cd70fff2d0cc9132b81

[ "MIT" ]

2

2021-05-28T11:01:43.000Z

2021-05-30T15:14:32.000Z

#cython: language_level=3 print("Hello World!")

12.25

25

0.734694

7

49

5

1

0

0.022727

0.102041

49

3

26

16.333333

0.772727

0.489796

0

0.5

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

a488060539cff854d95648b82e1c48d584fd4649

75

py

Python

client/gateway/__init__.py

crazyfacka/iseeyou

0ab47bb5c7c190bb161887bdfa12ce099c79a7cf

[ "MIT" ]

null

client/gateway/__init__.py

crazyfacka/iseeyou

0ab47bb5c7c190bb161887bdfa12ce099c79a7cf

[ "MIT" ]

null

client/gateway/__init__.py

crazyfacka/iseeyou

0ab47bb5c7c190bb161887bdfa12ce099c79a7cf

[ "MIT" ]

null

"""This imports all the lib package classes""" from gateway import Gateway

25

46

0.773333

11

75

5.272727

0.909091

0

0.146667

75

2

47

37.5

0.90625

0.533333

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

f12ad4d081af029b8fac96e0ad750e41145f8ce6

227

py

Python

moceansdk/modules/command/content_builder/wa_photo_content_builder.py

d3no/mocean-sdk-python

cbc215a0eb8aa26c04afb940eab6482f23150c75

[ "MIT" ]

null

moceansdk/modules/command/content_builder/wa_photo_content_builder.py

d3no/mocean-sdk-python

cbc215a0eb8aa26c04afb940eab6482f23150c75

[ "MIT" ]

null

moceansdk/modules/command/content_builder/wa_photo_content_builder.py

d3no/mocean-sdk-python

cbc215a0eb8aa26c04afb940eab6482f23150c75

[ "MIT" ]

null

from moceansdk.modules.command.content_builder.wa_rich_media_content_builder_basic import WaRichMediaContentBuilderBasic class WaPhotoContentBuilder(WaRichMediaContentBuilderBasic): def type(self): return 'photo'

32.428571

120

0.84141

22

227

8.409091

0.863636

0.151351

0

0.105727

227

7

121

32.428571

0.91133

0

0.02193

0

1

0.25

false

0

0.25

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

f1338c2d7facf161dcd7e05ce938ac8ab160185f

156

py

Python

advent-of-code/aoc-2020/helpers.py

ikumen/problems-solvers

c1847b09babbef344b2043b575fc81fed5809725

[ "MIT" ]

null

advent-of-code/aoc-2020/helpers.py

ikumen/problems-solvers

c1847b09babbef344b2043b575fc81fed5809725

[ "MIT" ]

null

advent-of-code/aoc-2020/helpers.py

ikumen/problems-solvers

c1847b09babbef344b2043b575fc81fed5809725

[ "MIT" ]

null

import os def get_data_file_path(filepath): return os.path.join( os.path.dirname(filepath), f"{os.path.splitext(os.path.basename(filepath))[0]}.txt")

22.285714

59

0.737179

26

156

4.307692

0.615385

0.214286

0

0.007042

0.089744

156

6

60

26

0.78169

0

0.339744

0

1

0.2

false

0

0.2

0.6

0

1

0

null

1

0

1

0

null

0

1

0

5

f18149106761c94bdd9c0ff1355357b1477e815c

1,789

py

Python

tests/test1.py

BykovDmitrii/rubymine-is2018

b25940118c767b5354a9e76e4807928fe9c9abe7

[ "Apache-2.0" ]

1

2019-02-14T05:13:46.000Z

tests/test1.py

BykovDmitrii/rubymine-is2018

b25940118c767b5354a9e76e4807928fe9c9abe7

[ "Apache-2.0" ]

null

tests/test1.py

BykovDmitrii/rubymine-is2018

b25940118c767b5354a9e76e4807928fe9c9abe7

[ "Apache-2.0" ]

null

if True: pass if 0: pass if 1: pass if (1==1) : pass if 1 == 2 + - 1 : pass if 456 == 244: pass if 1 == 0 - 5 + 6 - 1: pass if 2 + 2 == 5: pass if 23313 + 31313 == 0: pass if 2 + 2 == 3 + 1 * 0 + 1 : pass if 1 == 1: pass if - 1== 2-3 : pass if (2 + 2) + 2 == 7: pass if 55 * 2 / 2 * 4 / 4 * 2 / 2 == 759 + ( -1 + 56 + 77 - 77) + 123 * 3 - (369 - 1 + 1 - 1 - 1 + 2 + 2 ** 2 - 4) - 750 - 3 ** 2 + 1: pass if 55 * 2 / 2 * 4 / 4 * 2 / 2 == 759 + -1 + 56 + 77 - 77 + 123 * 3 - 369 - 1 + 1 - 1 - 1 + 2 + 2 ** 2 - 4 - 750 - 3 ** 2 + 1: pass if 55 * 2 / 2 * 4 / 4 * 2 / 2 == 759 + ( -1 + 56 + 77 - 77) + 123 * 3 - (369 - 1 + 1 - 1 - 1 + 2 + 2 ** 2 - 4) - 750 - 3 ** 2 : pass if 55 * 2 / 2 * 4 / 4 * 2 / 2 == 759 + -1 + 56 + 77 - 77 + 123 * 3 - 369 - 1 + 1 - 1 - 1 + 2 + 2 ** 2 - 4 - 750 - 3 ** 2 : pass if 55*2/2*4/4*2/2+2**3==759+-1+56+77-77+123*3-369-1+1-1-1+2+2**2-4-750-3**2+3**2-1+1//34 : pass if True and False or True and False: pass if True and ( False or True ) : pass if ( True and False ) or False : pass if True and not False: pass if not True and False: pass if 123456 + 6 - 999 + 3333 - 228 or 1 == 5: pass if not True and True or True and not True: pass if 2 +2 * 2 == 6: pass if 10 * 10 // 101 * 10 == 0: pass if 10 * 11 // 101 * 10 == 0: pass if ( 2+ 2 ) * 2 == 8: pass if ( 2 + 2) * 2 ==7 : pass if -(1+1)==-2: pass if -(1+1)!=-2: pass if 2 + ( 2 ) == 3 or 1: pass if ( 99 * 8 )/ 10 > 10: pass if 99 * ( 8 / 10) < 10: pass if 99 * ( 8 / 10 )> 10: pass if - (1313 - 1314) * - 1 == 1 * (2 - 3): pass if 1/0 ==0: pass if 100% 3==1: pass if 100 %0==1: pass if 100 % 4==1: pass if 1/1==1: pass

21.297619

131

0.416434

367

1,789

2.029973

0.106267

0.330201

0.112752

0.075168

0.738255

0.554362

0.527517

0.438926

0.404027

0.358389

0

0.33211

0.390721

1,789

84

132

21.297619

0.351376

0

0.5

0

1

0

true

0.5

0

null

1

0

1

0

1

0

null

0

1

0

5

74ea5534a2222aa50e6797b5e6858f4c0a624a2e

273

py

Python

Ex_94.py

soldierloko/Curso-em-Video

d867366425f72fe15903cb17cdc222a7fe7a3831

[ "MIT" ]

null

Ex_94.py

soldierloko/Curso-em-Video

d867366425f72fe15903cb17cdc222a7fe7a3831

[ "MIT" ]

null

Ex_94.py

soldierloko/Curso-em-Video

d867366425f72fe15903cb17cdc222a7fe7a3831

[ "MIT" ]

null

#Faça um programa que tenha uma lista chamada números e duas funções chamadas sorteia() e somarpar(). #A primeira função vai sortear 5 números e vai coloca-los dentro da lista e a segunda função vai mostrar a soma entre todos os valores PARES sorteados pela função anterior

136.5

171

0.805861

47

273

4.680851

0.765957

0.072727

0

0.004386

0.164835

273

2

171

136.5

0.960526

0.989011

0

null

0

null

0

null

0

0.5

null

1

null

true

0

null

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

5

74eaa07f106cf053632c49d313068b13269faf14

70

py

Python

util.py

HENRYMARTIN5/Py2Assembler

3a4ba9e663f587224044b680c989418490498e50

[ "MIT" ]

null

util.py

HENRYMARTIN5/Py2Assembler

3a4ba9e663f587224044b680c989418490498e50

[ "MIT" ]

null

util.py

HENRYMARTIN5/Py2Assembler

3a4ba9e663f587224044b680c989418490498e50

[ "MIT" ]

null

def str2bool(v): return str(v).lower() in ("yes", "true", "t", "1")

35

53

0.542857

12

70

3.166667

0.916667

0

0.033898

0.157143

70

2

53

35

0.610169

0

0.126761

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

2d0a276b47c37e24eec5f6d1ee16f632abf1a52e

105

py

Python

src/library/__init__.py

smiley-py/mailrobot

3b79557af7cf08da76347738d7203577003832fc

[ "MIT" ]

null

src/library/__init__.py

smiley-py/mailrobot

3b79557af7cf08da76347738d7203577003832fc

[ "MIT" ]

null

src/library/__init__.py

smiley-py/mailrobot

3b79557af7cf08da76347738d7203577003832fc

[ "MIT" ]

null

from .scheduled import CustomScheduled from .gmail import CustomGmail from .outlook import CustomOutlook

26.25

38

0.857143

12

105

7.5

0.666667

0

0.114286

105

3

39

35

0.967742

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

741f62c48cccbfe22679afc807e7b8d69ec70407

6,030

py

Python

tests/clean/infra/log/utils/colors/test_termcolors.py

bahnlink/pyclean

558d75341082472606788e088809831f6ea543c0

[ "MIT" ]

null

tests/clean/infra/log/utils/colors/test_termcolors.py

bahnlink/pyclean

558d75341082472606788e088809831f6ea543c0

[ "MIT" ]

2

2021-03-25T21:49:39.000Z

2021-06-01T22:12:00.000Z

tests/clean/infra/log/utils/colors/test_termcolors.py

bahnlink/pyclean

558d75341082472606788e088809831f6ea543c0

[ "MIT" ]

1

2018-06-07T17:31:56.000Z

from clean.infra.log.utils.colors.termcolors import ( DARK_PALETTE, DEFAULT_PALETTE, LIGHT_PALETTE, NOCOLOR_PALETTE, PALETTES, colorize, parse_color_setting, ) def test_empty_string(): assert parse_color_setting('') == PALETTES[DEFAULT_PALETTE] def test_simple_palette(): assert parse_color_setting('light') == PALETTES[LIGHT_PALETTE] assert parse_color_setting('dark') == PALETTES[DARK_PALETTE] assert parse_color_setting('nocolor') is None def test_fg(): res = parse_color_setting('error=green') assert res == dict(PALETTES[NOCOLOR_PALETTE], ERROR={'fg': 'green'}) def test_fg_bg(): res = parse_color_setting('error=green/blue') assert res == dict(PALETTES[NOCOLOR_PALETTE], ERROR={'fg': 'green', 'bg': 'blue'}) def test_fg_opts(): res_green_blink = parse_color_setting('error=green,blink') res_green_bold_blink = parse_color_setting('error=green,bold,blink') assert res_green_blink == dict(PALETTES[NOCOLOR_PALETTE], ERROR={'fg': 'green', 'opts': ('blink',)}) assert res_green_bold_blink == dict(PALETTES[NOCOLOR_PALETTE], ERROR={'fg': 'green', 'opts': ('blink', 'bold')}) def test_fg_bg_opts(): res_blue_blink = parse_color_setting('error=green/blue,blink') res_blu_bold_blink = parse_color_setting('error=green/blue,bold,blink') assert res_blue_blink == dict(PALETTES[NOCOLOR_PALETTE], ERROR={'fg': 'green', 'bg': 'blue', 'opts': ('blink',)}) assert res_blu_bold_blink == dict(PALETTES[NOCOLOR_PALETTE], ERROR={'fg': 'green', 'bg': 'blue', 'opts': ('blink', 'bold')}) def test_override_palette(): res = parse_color_setting('light;error=green') assert res == dict(PALETTES[LIGHT_PALETTE], ERROR={'fg': 'green'}) def test_override_nocolor(): res = parse_color_setting('nocolor;error=green') assert res == dict(PALETTES[NOCOLOR_PALETTE], ERROR={'fg': 'green'}) def test_reverse_override(): assert parse_color_setting('error=green;light') == PALETTES[LIGHT_PALETTE] def test_multiple_roles(): res = parse_color_setting('error=green;sql_field=blue') assert res == dict(PALETTES[NOCOLOR_PALETTE], ERROR={'fg': 'green'}, SQL_FIELD={'fg': 'blue'}) def test_override_with_multiple_roles(): res = parse_color_setting('light;error=green;sql_field=blue') assert res == dict(PALETTES[LIGHT_PALETTE], ERROR={'fg': 'green'}, SQL_FIELD={'fg': 'blue'}) def test_empty_definition(): assert parse_color_setting(';') is None assert parse_color_setting(';;;') is None assert parse_color_setting('light;') == PALETTES[LIGHT_PALETTE] def test_empty_options(): res_1 = parse_color_setting('error=green,') res_2 = parse_color_setting('error=green,,,') res_3 = parse_color_setting('error=green,,blink,,') assert res_1 == dict(PALETTES[NOCOLOR_PALETTE], ERROR={'fg': 'green'}) assert res_2 == dict(PALETTES[NOCOLOR_PALETTE], ERROR={'fg': 'green'}) assert res_3 == dict(PALETTES[NOCOLOR_PALETTE], ERROR={'fg': 'green', 'opts': ('blink',)}) def test_bad_palette(): assert parse_color_setting('unknown') is None def test_bad_role(): res_1 = parse_color_setting('unknown=green;sql_field=blue') assert res_1 == dict(PALETTES[NOCOLOR_PALETTE], SQL_FIELD={'fg': 'blue'}) assert parse_color_setting('unknown=') is None assert parse_color_setting('unknown=green') is None def test_bad_color(): res_1 = parse_color_setting('error=;sql_field=blue') res_2 = parse_color_setting('error=unknown;sql_field=blue') res_3 = parse_color_setting('error=green/unknown') res_4 = parse_color_setting('error=green/blue/something') res_5 = parse_color_setting('error=green/blue/something,blink') assert res_1 == dict(PALETTES[NOCOLOR_PALETTE], SQL_FIELD={'fg': 'blue'}) assert res_2 == dict(PALETTES[NOCOLOR_PALETTE], SQL_FIELD={'fg': 'blue'}) assert res_3 == dict(PALETTES[NOCOLOR_PALETTE], ERROR={'fg': 'green'}) assert res_4 == dict(PALETTES[NOCOLOR_PALETTE], ERROR={'fg': 'green', 'bg': 'blue'}) assert res_5 == dict(PALETTES[NOCOLOR_PALETTE], ERROR={'fg': 'green', 'bg': 'blue', 'opts': ('blink',)}) assert parse_color_setting('error=') is None assert parse_color_setting('error=unknown') is None def test_bad_option(): res_1 = parse_color_setting('error=green,unknown') res_2 = parse_color_setting('error=green,unknown,blink') assert res_1 == dict(PALETTES[NOCOLOR_PALETTE], ERROR={'fg': 'green'}) assert res_2 == dict(PALETTES[NOCOLOR_PALETTE], ERROR={'fg': 'green', 'opts': ('blink',)}) def test_role_case(): res_1 = parse_color_setting('ERROR=green') res_2 = parse_color_setting('eRrOr=green') assert res_1 == dict(PALETTES[NOCOLOR_PALETTE], ERROR={'fg': 'green'}) assert res_2 == dict(PALETTES[NOCOLOR_PALETTE], ERROR={'fg': 'green'}) def test_color_case(): res_1 = parse_color_setting('error=GREEN') res_2 = parse_color_setting('error=GREEN/BLUE') res_3 = parse_color_setting('error=gReEn') res_4 = parse_color_setting('error=gReEn/bLuE') assert res_1 == dict(PALETTES[NOCOLOR_PALETTE], ERROR={'fg': 'green'}) assert res_2 == dict(PALETTES[NOCOLOR_PALETTE], ERROR={'fg': 'green', 'bg': 'blue'}) assert res_3 == dict(PALETTES[NOCOLOR_PALETTE], ERROR={'fg': 'green'}) assert res_4 == dict(PALETTES[NOCOLOR_PALETTE], ERROR={'fg': 'green', 'bg': 'blue'}) def test_opts_case(): res_1 = parse_color_setting('error=green,BLINK') res_2 = parse_color_setting('error=green,bLiNk') assert res_1 == dict(PALETTES[NOCOLOR_PALETTE], ERROR={'fg': 'green', 'opts': ('blink',)}) assert res_2 == dict(PALETTES[NOCOLOR_PALETTE], ERROR={'fg': 'green', 'opts': ('blink',)}) def test_colorize_empty_text(): res_1 = colorize(text=None) res_2 = colorize(text='') res_3 = colorize(text=None, opts=('noreset', )) res_4 = colorize(text='', opts=('noreset', )) assert res_1 == '\x1b[m\x1b[0m' assert res_2 == '\x1b[m\x1b[0m' assert res_3 == '\x1b[m' assert res_4 == '\x1b[m'

36.993865

117

0.689055

829

6,030

4.716526

0.074789

0.109974

0.186957

0.157545

0.832481

0.778261

0.702558

0.592839

0.520205

0.48798

0

0.010437

0.141957

6,030

162

118

37.222222

0.745265

0

0.152381

0

0.173798

0.047927

0

0.438095

1

0.2

false

0

0.009524

0

0.209524

0

null

0

1

0

1

0

null

0

1

0

5

7452f3144187c68fb2da27ba8d944e84c17c89dd

42

py

Python

shutDown.py

Dinuda/ShutDown

b276372794b326c311c881eb1264885f5eb05bc2

[ "MIT" ]

3

2021-02-15T13:56:10.000Z

2021-03-29T16:19:54.000Z

shutDown.py

Dinuda/ShutDown

b276372794b326c311c881eb1264885f5eb05bc2

[ "MIT" ]

null

shutDown.py

Dinuda/ShutDown

b276372794b326c311c881eb1264885f5eb05bc2

[ "MIT" ]

null

import os os.system("shutdown /s /t 1")

14

29

0.642857

8

42

3.375

0.875

0

0.029412

0.190476

42

3

29

14

0.764706

0

0.390244

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

77be1133ac3b29f1d41f703b4d257c4fde7bced2

300

py

Python

code/utils/__init__.py

mrbarbasa/kaggle-spooky-author

a2ded542288efa0e85a25426722619ed2542d98b

[ "MIT" ]

1

2018-10-09T04:57:03.000Z

code/utils/__init__.py

mrbarbasa/kaggle-spooky-author

a2ded542288efa0e85a25426722619ed2542d98b

[ "MIT" ]

null

code/utils/__init__.py

mrbarbasa/kaggle-spooky-author

a2ded542288efa0e85a25426722619ed2542d98b

[ "MIT" ]

null

from .format_time_str import format_time_str from .get_time_elapsed import get_time_elapsed from .load_data import load_data from .load_dictionary_from_file import load_dictionary_from_file from .save_dictionary_to_file import save_dictionary_to_file from .save_line_to_file import save_line_to_file

42.857143

64

0.9

52

300

4.653846

0.269231

0.099174

0.107438

0.181818

0

0.08

300

6

65

50

0.876812

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

5

77e7008b7f69f43d016d1ac399b4066349fe58fb

126

py

Python

toad/nn/trainer/__init__.py

brianWeng0223/toad

edf2b956fb4237a647f039ea08618dc89c598e07

[ "MIT" ]

null

toad/nn/trainer/__init__.py

brianWeng0223/toad

edf2b956fb4237a647f039ea08618dc89c598e07

[ "MIT" ]

null

toad/nn/trainer/__init__.py

brianWeng0223/toad

edf2b956fb4237a647f039ea08618dc89c598e07

[ "MIT" ]

null

from .history import History from .callback import callback from .earlystop import earlystopping from .trainer import Trainer

25.2

36

0.84127

16

126

6.625

0.4375

0

0.126984

126

4

37

31.5

0.963636

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

7af7520ce6392b7775b565df63469ed448626de0

68

py

Python

python/testData/inspections/PyTypeCheckerInspection/PromotingBytearrayToStrAndUnicode.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2018-12-29T09:53:39.000Z

2018-12-29T09:53:42.000Z

python/testData/inspections/PyTypeCheckerInspection/PromotingBytearrayToStrAndUnicode.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/inspections/PyTypeCheckerInspection/PromotingBytearrayToStrAndUnicode.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

def f(bar): # type: (str) -> str return bar f(bytearray())

11.333333

24

0.529412

10

68

3.6

0.7

0

0.279412

68

6

25

11.333333

0.734694

0.264706

0

1

0.333333

false

0

0.333333

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

5

bb21afada8d8f15f29da835e84c0ab1aab13a8c1

129

py

Python

src/utils/fft/ifft.py

BystrickyK/SINDy

f5b887d230079ffd60eacfe0221b47d1c288342e

[ "MIT" ]

1

2021-04-12T18:22:54.000Z

src/utils/fft/ifft.py

BystrickyK/SINDy

f5b887d230079ffd60eacfe0221b47d1c288342e

[ "MIT" ]

9

2021-03-03T14:34:41.000Z

2021-05-13T14:03:08.000Z

src/utils/fft/ifft.py

BystrickyK/SINDy

f5b887d230079ffd60eacfe0221b47d1c288342e

[ "MIT" ]

null

import numpy as np def ifft(x_hat): x_hat = np.fft.ifftshift(x_hat, axes=0) x = np.fft.ifft(x_hat, axis=0) return x

18.428571

43

0.643411

27

129

2.925926

0.518519

0.202532

0

0.02

0.224806

129

6

44

21.5

0.77

0

1

0.2

false

0

0.2

0

0.6

0

1

0

null

1

0

1

0

null

0

1

0

5

bb56847f495526be62702ea16d0c653b7419510a

147

py

Python

python/ql/test/3/library-tests/modules/general/main.py

vadi2/codeql

a806a4f08696d241ab295a286999251b56a6860c

[ "MIT" ]

4,036

2020-04-29T00:09:57.000Z

2022-03-31T14:16:38.000Z

python/ql/test/3/library-tests/modules/general/main.py

vadi2/codeql

a806a4f08696d241ab295a286999251b56a6860c

[ "MIT" ]

2,970

2020-04-28T17:24:18.000Z

2022-03-31T22:40:46.000Z

python/ql/test/3/library-tests/modules/general/main.py

ScriptBox99/github-codeql

2ecf0d3264db8fb4904b2056964da469372a235c

[ "MIT" ]

794

2020-04-29T00:28:25.000Z

2022-03-30T08:21:46.000Z

import package import helper import package.assistant #We expect that 'a' below will be 1 not a module. from confused_elements import a import sys

21

49

0.809524

25

147

4.72

0.72

0.220339

0

0.008065

0.156463

147

7

50

21

0.943548

0.326531

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

24aa006d233c620b0597e9f7761d173920a6910a

4,439

py

Python

abitly/tests/link/test_bp.py

AlexisNava/ABitly-Services

5fd0edb4ea9ec64b058a616d64965674480023e3

[ "Apache-2.0" ]

null

abitly/tests/link/test_bp.py

AlexisNava/ABitly-Services

5fd0edb4ea9ec64b058a616d64965674480023e3

[ "Apache-2.0" ]

null

abitly/tests/link/test_bp.py

AlexisNava/ABitly-Services

5fd0edb4ea9ec64b058a616d64965674480023e3

[ "Apache-2.0" ]

null

import pytest from flask import json # Flask App from abitly import create_app @pytest.fixture def app(): app = create_app() return app def test_create_link_should_responds_created(client): """Should responds Created when makes a request with a valid request body """ request_body = { 'originalUrl': 'https://discordapp.com/' } headers = { 'Content-Type': 'application/json', 'Accept': 'application/json' } response = client.post('/link/', data=json.dumps(request_body), headers=headers) response_body = json.loads(response.get_data(as_text=True)) assert response.status_code == 201 assert response_body['statusCode'] == 201 assert response_body['status'] == 'Created' assert len(response_body['generatedUrl']) == 7 assert response_body['originalUrl'] == 'https://discordapp.com/' def test_create_link_should_responds_bad_request(client): """Should responds BadRequest when makes a request with an invalid request body """ request_body = { 'originalUrl': 543543 } headers = { 'Content-Type': 'application/json', 'Accept': 'application/json' } response = client.post('/link/', data=json.dumps(request_body), headers=headers) response_body = json.loads(response.get_data(as_text=True)) expected_message = ('The browser (or proxy) sent a request that this ' 'server could not understand.').format() assert response.status_code == 400 assert response_body['status'] == 'Bad Request' assert response_body['statusCode'] == 400 assert response_body['errorMessage'] == expected_message def test_create_link_should_responds_method_not_allowed(client): """Should responds MethodNotAllowed when makes a request with a different method of POST """ request_body = { 'originalUrl': 'https://discordapp.com/' } headers = { 'Content-Type': 'application/json', 'Accept': 'application/json' } response = client.put('/link/', data=json.dumps(request_body), headers=headers) response_body = json.loads(response.get_data(as_text=True)) expected_message = 'The method is not allowed for the requested URL.' assert response.status_code == 405 assert response_body['status'] == 'Method Not Allowed' assert response_body['statusCode'] == 405 assert response_body['errorMessage'] == expected_message def test_redirect_to_original_url_should_responds_bad_request(client): """Should responds BadRequest when the generated url don't have and exactly length of 7 characters """ response = client.get('/link/4RjLzNFg') response_body = json.loads(response.get_data(as_text=True)) expected_message = ('The browser (or proxy) sent a request that this ' 'server could not understand.').format() assert response.status_code == 400 assert response_body['status'] == 'Bad Request' assert response_body['statusCode'] == 400 assert response_body['errorMessage'] == expected_message def test_redirect_to_original_url_should_responds_not_found(client): """Should responds NotFound when not found the generated_url in the links table """ response = client.get('/link/1234567') response_body = json.loads(response.get_data(as_text=True)) expected_message = ('The requested URL was not found on the server. ' 'If you entered the URL manually please check ' 'your spelling and try again.').format() assert response.status_code == 404 assert response_body['status'] == 'Not Found' assert response_body['statusCode'] == 404 assert response_body['errorMessage'] == expected_message def test_redirect_to_original_url_should_responds_method_not_allowed(client): """Should responds MethodNotAllowed when makes a request with a different method of GET """ response = client.delete('/link/1234567') response_body = json.loads(response.get_data(as_text=True)) expected_message = 'The method is not allowed for the requested URL.' assert response.status_code == 405 assert response_body['status'] == 'Method Not Allowed' assert response_body['statusCode'] == 405 assert response_body['errorMessage'] == expected_message

33.126866

77

0.678531

529

4,439

5.495274

0.215501

0.103199

0.111455

0.043344

0.772618

0.729962

0.702442

0.667355

0

0.016969

0.216715

4,439

133

78

33.37594

0.819097

0.113089

0

0.578313

0

0.241693

0

0.301205

1

0.084337

false

0

0.036145

0

0.13253

0

null

0

1

0

null

0

5

24aef0b0ce3bfedb64766068a9e2f5bab3601df1

269

py

Python

pacote-download/ex014.py

LeticiaTr/Exerc-cios-em-Python

97f62ad36f958ce6f1386a55a7473adc85ddf415

[ "MIT" ]

null

pacote-download/ex014.py

LeticiaTr/Exerc-cios-em-Python

97f62ad36f958ce6f1386a55a7473adc85ddf415

[ "MIT" ]

null

pacote-download/ex014.py

LeticiaTr/Exerc-cios-em-Python

97f62ad36f958ce6f1386a55a7473adc85ddf415

[ "MIT" ]

null

#Escreva um programa que converta uma temperatura digitando em graus Celsius e converta para graus Fahrenheit. cels= float(input('Digite uma temperatura em Celsius ')) print (f'Sua temperatura em celsius é {cels} na conversão para Fahrenheit é { cels * 1.8 + 32 :.2f}')

89.666667

110

0.765799

42

269

4.904762

0.666667

0.135922

0.194175

0

0.02193

0.152416

269

3

111

89.666667

0.881579

0.405204

0

0.5

0.775

0

1

0

false

0

0.5

0

null

0

1

0

1

0

1

0

null

0

1

0

5

24f1f9d1b64f0b626d3166a0d148c7ca057a8ead

135

py

Python

face_detection/__init__.py

Lanzarko/Real-Time-Face-Anonymizer

50f5c793e830b1e258eaa2284073630cd1d0aabe

[ "MIT" ]

2

2020-09-26T22:50:45.000Z

2020-09-27T10:39:37.000Z

face_detection/__init__.py

Lanzarko/Real-Time-Face-Anonymizer

50f5c793e830b1e258eaa2284073630cd1d0aabe

[ "MIT" ]

null

face_detection/__init__.py

Lanzarko/Real-Time-Face-Anonymizer

50f5c793e830b1e258eaa2284073630cd1d0aabe

[ "MIT" ]

3

2020-10-17T19:36:27.000Z

2021-04-02T08:18:41.000Z

import warnings from .detector import * from .intel_inference import * warnings.filterwarnings("ignore", category=DeprecationWarning)

22.5

62

0.822222

14

135

7.857143

0.714286

0.254545

0

0.096296

135

5

63

27

0.901639

0

0.044444

0

1

0

true

0

0.75

0

0.75

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

7013aac3ccf1603011e8a016834553656f68212c

235

py

Python

cmt.py

developer0hye/CMT

bc9a0f1d6c6b9e2fe91772048d64025d3a8e5085

[ "MIT" ]

1

2021-09-06T00:35:36.000Z

cmt.py

developer0hye/CMT

bc9a0f1d6c6b9e2fe91772048d64025d3a8e5085

[ "MIT" ]

null

cmt.py

developer0hye/CMT

bc9a0f1d6c6b9e2fe91772048d64025d3a8e5085

[ "MIT" ]

null

import torch import torch.nn as nn class CMT(nn.Module): def __init__(self, stem_channels: list): super(CMT, self).__init__() self.stem def forward(self, x): pass

18.076923

38

0.523404

28

235

4.071429

0.607143

0.192982

0.210526

0

0.387234

235

13

39

18.076923

0.791667

0

1

0.222222

false

0.111111

0.222222

0

0.555556

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

70246ff149a31798620e180bc869fc10ab2c2c1f

3,037

py

Python

data/transcoder_evaluation_gfg/python/COUNT_PAIRS_TWO_SORTED_ARRAYS_WHOSE_SUM_EQUAL_GIVEN_VALUE_X_2.py

mxl1n/CodeGen

e5101dd5c5e9c3720c70c80f78b18f13e118335a

[ "MIT" ]

241

2021-07-20T08:35:20.000Z

2022-03-31T02:39:08.000Z

data/transcoder_evaluation_gfg/python/COUNT_PAIRS_TWO_SORTED_ARRAYS_WHOSE_SUM_EQUAL_GIVEN_VALUE_X_2.py

mxl1n/CodeGen

e5101dd5c5e9c3720c70c80f78b18f13e118335a

[ "MIT" ]

49

2021-07-22T23:18:42.000Z

2022-03-24T09:15:26.000Z

data/transcoder_evaluation_gfg/python/COUNT_PAIRS_TWO_SORTED_ARRAYS_WHOSE_SUM_EQUAL_GIVEN_VALUE_X_2.py

mxl1n/CodeGen

e5101dd5c5e9c3720c70c80f78b18f13e118335a

[ "MIT" ]

71

2021-07-21T05:17:52.000Z

2022-03-29T23:49:28.000Z

# Copyright (c) 2019-present, Facebook, Inc. # All rights reserved. # # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. # def f_gold ( arr1 , arr2 , m , n , x ) : count , l , r = 0 , 0 , n - 1 while ( l < m and r >= 0 ) : if ( ( arr1 [ l ] + arr2 [ r ] ) == x ) : l += 1 r -= 1 count += 1 elif ( ( arr1 [ l ] + arr2 [ r ] ) < x ) : l += 1 else : r -= 1 return count #TOFILL if __name__ == '__main__': param = [ ([5, 5, 7, 10, 14, 14, 17, 21, 32, 34, 37, 40, 40, 40, 46, 46, 50, 50, 51, 55, 57, 62, 65, 67, 67, 69, 70, 70, 72, 73, 76, 77, 77, 78, 84, 85, 85, 86, 87, 88, 88, 89, 89, 90, 93, 99],[2, 5, 8, 8, 10, 12, 13, 15, 17, 18, 20, 20, 21, 27, 28, 31, 34, 37, 40, 46, 48, 52, 53, 54, 54, 58, 59, 60, 66, 68, 68, 69, 70, 71, 72, 73, 77, 77, 80, 84, 84, 92, 92, 95, 97, 97],28,29,23,), ([-84, 52, -34, 96, 16, 92, -64, -74],[-22, 26, -12, -54, 66, 86, 38, 76],6,5,7,), ([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],37,26,42,), ([60, 92, 42, 83, 55, 76, 29, 62],[71, 2, 74, 42, 80, 71, 26, 76],4,7,7,), ([-94, -94, -58, -40, -40, -26, -24, -22, -22, -22, -2, 0, 4, 8, 12, 16, 16, 18, 22, 32, 42, 44, 50, 58, 64, 78, 80, 90],[-86, -84, -78, -76, -72, -70, -62, -58, -54, -54, -50, -46, -44, -40, -30, -28, -16, -10, 10, 36, 36, 48, 70, 84, 84, 90, 94, 98],17,27,17,), ([0, 0, 1, 1, 1, 0, 0, 1, 1, 1],[1, 1, 1, 0, 1, 1, 0, 0, 0, 0],5,8,9,), ([1, 5, 7, 7, 7, 14, 15, 16, 17, 18, 18, 19, 20, 25, 27, 31, 36, 42, 47, 51, 56, 56, 56, 58, 58, 59, 63, 63, 63, 65, 66, 67, 76, 83, 93, 94, 97],[2, 3, 7, 8, 9, 10, 17, 18, 21, 28, 29, 29, 33, 35, 46, 47, 47, 49, 49, 49, 53, 56, 58, 59, 59, 60, 65, 67, 70, 78, 81, 85, 85, 87, 90, 92, 96],28,34,31,), ([78, -74, 52, 56, -8, 92, 14, 56, -72, -92, 32, -94, -26, -8, -66, 72, -24, 36, -84, -4, -68, 14, 78, 40, -82, -10, 16, 56, 6, -16, 30, 24, -32],[-74, 22, -14, -2, 36, 86, -70, -20, -76, -84, -40, -36, 42, 22, -60, -94, -18, 8, -14, -42, -68, 62, -60, 2, 40, -66, 68, 96, 70, 98, -38, -74, -92],16,30,24,), ([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],25,33,33,), ([17, 50, 65, 4, 19, 10, 45, 70, 76, 81, 28, 97, 55, 70, 38, 2, 40, 67, 36, 33, 6, 85, 25],[78, 92, 65, 23, 7, 94, 18, 4, 2, 53, 31, 58, 98, 18, 46, 16, 17, 92, 80, 92, 43, 70, 50],16,22,22,) ] n_success = 0 for i, parameters_set in enumerate(param): if f_filled(*parameters_set) == f_gold(*parameters_set): n_success+=1 print("#Results: %i, %i" % (n_success, len(param)))

75.925

379

0.43892

691

3,037

1.904486

0.214182

0.148936

0.207447

0.258359

0.159574

0.155775

0.151216

0.130699

0.12462

0

0.441

0.288443

3,037

40

380

75.925

0.167978

0.060915

0

0.133333

0

0.008436

0

1

0.033333

false

0

0.066667

0.033333

0

1

null

0

1

0

1

0

1

0

null

0

5

702a17c5d922751e111f50c283e5dd73bd0f05e2

335

py

Python

IT/Model/User.py

LionKingzlq/DjangoDemo

06ceede79986a76675321baa66c8bf30cdfff62b

[ "BSD-2-Clause" ]

null

IT/Model/User.py

LionKingzlq/DjangoDemo

06ceede79986a76675321baa66c8bf30cdfff62b

[ "BSD-2-Clause" ]

null

IT/Model/User.py

LionKingzlq/DjangoDemo

06ceede79986a76675321baa66c8bf30cdfff62b

[ "BSD-2-Clause" ]

null

<<<<<<< HEAD from django.db import models class Person(models.Model): first_name = models.CharField(max_length=30) ======= from django.db import models class Person(models.Model): first_name = models.CharField(max_length=30) >>>>>>> b6ed3cb0427fc3b30fe2f4b569908246cfec5690 last_name = models.CharField(max_length=30)

27.916667

49

0.734328

41

335

5.853659

0.414634

0.125

0.2375

0.275

0.8

0.675

0

0.10274

0.128358

335

12

50

27.916667

0.719178

0

0.6

0

null

0

0.2

null

0

null

0

1

0

1

0

1

0

null

0

1

0

5

70451f302a73ad31961fa26c06b2569898d2f01a

24

py

Python

tests/dbshell/fake_client.py

jpmallarino/django

659d2421c7adbbcd205604002d521d82d6b0b465

[ "BSD-3-Clause", "0BSD" ]

61,676

2015-01-01T00:05:13.000Z

2022-03-31T20:37:54.000Z

tests/dbshell/fake_client.py

jpmallarino/django

659d2421c7adbbcd205604002d521d82d6b0b465

[ "BSD-3-Clause", "0BSD" ]

8,884

2015-01-01T00:12:05.000Z

2022-03-31T19:53:11.000Z

tests/dbshell/fake_client.py

jpmallarino/django

659d2421c7adbbcd205604002d521d82d6b0b465

[ "BSD-3-Clause", "0BSD" ]

33,143

2015-01-01T02:04:52.000Z

2022-03-31T19:42:46.000Z

import sys sys.exit(1)

6

11

0.708333

5

24

3.4

0.8

0

0.05

0.166667

24

3

12

8

0.8

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

70452cacee3231986c156c0451cdad71cf0c3278

6,904

py

Python

src/settings.py

matheuslins/instacartcrawl

cfa715758857134ce3a2fcc0fdb3cc4bb1dde114

[ "MIT" ]

3

2020-12-19T20:22:48.000Z

2022-01-31T03:15:59.000Z

src/settings.py

matheuslins/instacartcrawl

cfa715758857134ce3a2fcc0fdb3cc4bb1dde114

[ "MIT" ]

null

src/settings.py

matheuslins/instacartcrawl

cfa715758857134ce3a2fcc0fdb3cc4bb1dde114

[ "MIT" ]

null

from decouple import config CAPTCHA = { "2CAPTCHA_API_KEY": config("2CAPTCHA_API_KEY"), "2CAPTCHA_URL": config("2CAPTCHA_URL") } SPIDERS_SETTINGS = { "instacart": { "START_URL": "http://instacart.com", "LOGIN_URL": "https://www.instacart.com/v3/dynamic_data/authenticate/login?source=web&cache_key=undefined", "STORES_URL": "https://www.instacart.com/v3/containers/next_gen/onboarding?source=web&cache_key=undefined", "LINK_PATHS": "http://instacart.com/v3/containers/{}/ng/l/savings/all/_/modules".format, "SPECIFIC_STORE": "https://www.instacart.com/store/{}/storefront".format, "BASE_HEADERS": { 'authority': 'www.instacart.com', 'pragma': 'no-cache', 'cache-control': 'no-cache', 'x-client-identifier': 'web', 'x-csrf-token': 'undefined', 'x-requested-with': 'XMLHttpRequest', 'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/85.0.4183.121 Safari/537.36', 'origin': 'https://www.instacart.com', 'sec-fetch-site': 'same-origin', 'sec-fetch-mode': 'cors', 'sec-fetch-dest': 'empty', 'referer': 'https://www.instacart.com/', 'accept-language': 'pt-BR,pt;q=0.9,en-US;q=0.8,en;q=0.7', 'cookie': 'ftr_ncd=6; _gcl_au=1.1.622688012.1602194134; _fbp=fb.1.1602194134892.828217208; _pin_unauth=dWlkPU5EazNaRGRrTWpZdE5qSTBZUzAwWWprNUxUbGtOR1l0TkdWaVpXRTBOamcwTWpVMA; ab.storage.userId.6f8d91cb-99e4-4ad7-ae83-652c2a2c845d=%7B%22g%22%3A%22163399259%22%2C%22c%22%3A1602194535085%2C%22l%22%3A1602194535085%7D; ab.storage.deviceId.6f8d91cb-99e4-4ad7-ae83-652c2a2c845d=%7B%22g%22%3A%22d313a6bf-948c-f6c9-f71e-5561657d140d%22%2C%22c%22%3A1602194535092%2C%22l%22%3A1602194535092%7D; _instacart_logged_in=1; __stripe_mid=d2e0933c-7a0f-47b3-9a0d-e07593cb097064dab5; __ssid=196ce26e4325f73269820d5a011f86a; ab.storage.sessionId.6f8d91cb-99e4-4ad7-ae83-652c2a2c845d=%7B%22g%22%3A%223c83e8c0-ecba-e95d-ea25-98749cbabd34%22%2C%22e%22%3A1602291216135%2C%22c%22%3A1602289410633%2C%22l%22%3A1602289416135%7D; __stripe_sid=fa0c3d48-b5cb-4bc4-99b2-8b79d35dc13c5ed314; _dd_s=rum=0&expire=1602290681404; ajs_anonymous_id=%226981ebb4-80d3-4155-9ec8-80ce06f12b6d%22; build_sha=b025575d4c43f8c0c1625a09fc224efb53606687; ahoy_visitor=c9a84ac2-c77d-447c-a1c4-f5bf64ec215f; ahoy_visit=cb93c8a1-f8fc-4886-8103-8147de0cfda7; _instacart_session=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%3D%3D--146307313fc70d42a43cea1fb82d241d39531b33; forterToken=6fd80940ab474eb38b4cfaf7cbfe1e95_1602289785096__UDF43_9ck; _uetsid=fdfcfa7009b011ebb082b31e12410666; _uetvid=fe01d8a009b011eb96ee377d75844165; _derived_epik=dj0yJnU9eDEySi0wTVRiNFNmb3dfQXVyV1lDTGY1TUtwRW51RmUmbj1vZWRiaFhaci1PRXVnVzl2TEFya3l3Jm09MSZ0PUFBQUFBRi1CQUhzJnJtPTEmcnQ9QUFBQUFGLUJBSHM; signup_load_perf_date=1602289808990; ahoy_visitor=324b02b7-329a-4fcb-9ebb-22fec7dfd495; ahoy_track=true; build_sha=9a1e23818a224998940b1f832aeb0fba13a7e333; _instacart_session=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%3D%3D--c29111ee46a7b5587ee1a6eb2bdc487aec70221c', 'Content-Type': 'application/json' }, "STORE_COOKIE": 'ftr_ncd=6; _gcl_au=1.1.622688012.1602194134; _fbp=fb.1.1602194134892.828217208; _pin_unauth=dWlkPU5EazNaRGRrTWpZdE5qSTBZUzAwWWprNUxUbGtOR1l0TkdWaVpXRTBOamcwTWpVMA; ab.storage.userId.6f8d91cb-99e4-4ad7-ae83-652c2a2c845d=%7B%22g%22%3A%22163399259%22%2C%22c%22%3A1602194535085%2C%22l%22%3A1602194535085%7D; ab.storage.deviceId.6f8d91cb-99e4-4ad7-ae83-652c2a2c845d=%7B%22g%22%3A%22d313a6bf-948c-f6c9-f71e-5561657d140d%22%2C%22c%22%3A1602194535092%2C%22l%22%3A1602194535092%7D; _instacart_logged_in=1; __stripe_mid=d2e0933c-7a0f-47b3-9a0d-e07593cb097064dab5; __ssid=196ce26e4325f73269820d5a011f86a; build_sha=90b58763437ebed8f2d1c23c8be63db51d994dd5; _dd_s=rum=0&expire=1602366442158; ajs_anonymous_id=%2238536cb9-84c2-47c1-adbe-f5cbb2c5f425%22; ahoy_visitor=488abf00-5bb0-4005-9b77-365dc849fe98; ahoy_visit=082c4865-437d-4c82-a037-0a15f07acd62; forterToken=6fd80940ab474eb38b4cfaf7cbfe1e95_1602365551379__UDF43_9ck; _uetsid=fdfcfa7009b011ebb082b31e12410666; _uetvid=fe01d8a009b011eb96ee377d75844165; _derived_epik=dj0yJnU9NXRWdWNENzRucUJxeGxrNFYzUU5ReUpoaHV0TjRKZ0cmbj1QdW1FajJ0WEJtVDlnODZoTEh6Z1F3Jm09MSZ0PUFBQUFBRi1DS0hJJnJtPTEmcnQ9QUFBQUFGLUNLSEk; signup_load_perf_date=1602365791750; __Host-instacart_sid=cc7db71362b06cc2002507163d39289d08225544afef915fbf4d22a37ed0aeb0; _instacart_session=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%3D--fdf853f8150b967242719323ae5f12e42b7b2512; ab.storage.sessionId.6f8d91cb-99e4-4ad7-ae83-652c2a2c845d=%7B%22g%22%3A%2293cafc50-ffc3-f681-7892-0a29d44fc8a6%22%2C%22e%22%3A1602367597106%2C%22c%22%3A1602365797107%2C%22l%22%3A1602365797107%7D', "AUTH_USER": config("AUTH_USER"), "AUTH_PASSWORD": config("AUTH_PASSWORD"), "SAVE_DB_ITEM": config("SAVE_DB_ITEM", cast=bool, default=True), "ES_INDEX": "instacart-products" } } DB_SETTINGS = { "ES": { "HOST": config("DB_HOST", default="http://localhost:9200") } }

150.086957

2,930

0.839368

571

6,904

9.956217

0.476357

0.016887

0.015831

0.021108

0.252946

0.239226

0.230431

0.19701

0

0.253835

0.065324

6,904

45

2,931

153.422222

0.62715

0

0.170732

0.892961

0.735805

0

1

0

false

0.02439

0

0.02439

0

null

0

1

0

1

0

1

null

0

5

7051a25721f1b3c0108c42e4e6a9b15c83af70d4

56

py

Python

textattack/goal_functions/text/__init__.py

fighting41love/TextAttack

24e48f0022dc3a7bdcd5cbb3430f1c72cfcb522d

[ "MIT" ]

2

2020-07-08T08:55:37.000Z

2020-09-03T00:57:38.000Z

textattack/goal_functions/text/__init__.py

SatoshiRobatoFujimoto/TextAttack

a809a9bddddff9f41750949e26edde26c8af6cfa

[ "MIT" ]

null

textattack/goal_functions/text/__init__.py

SatoshiRobatoFujimoto/TextAttack

a809a9bddddff9f41750949e26edde26c8af6cfa

[ "MIT" ]

null

from .non_overlapping_output import NonOverlappingOutput

56

0.928571

6

56

8.333333

1

0

0.053571

56

1

56

0.943396

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

705c9f9377f58874df215bc59198a58737356ae2

224

py

Python

sky/tools/webkitpy/tool/commands/__init__.py

domenic/mojo

53dda76fed90a47c35ed6e06baf833a0d44495b8

[ "BSD-3-Clause" ]

5

2019-05-24T01:25:34.000Z

2020-04-06T05:07:01.000Z

sky/tools/webkitpy/tool/commands/__init__.py

domenic/mojo

53dda76fed90a47c35ed6e06baf833a0d44495b8

[ "BSD-3-Clause" ]

null

sky/tools/webkitpy/tool/commands/__init__.py

domenic/mojo

53dda76fed90a47c35ed6e06baf833a0d44495b8

[ "BSD-3-Clause" ]

5

2016-12-23T04:21:10.000Z

2020-06-18T13:52:33.000Z

# Required for Python to search this directory for module files from webkitpy.tool.commands.prettydiff import PrettyDiff from webkitpy.tool.commands.queries import * from webkitpy.tool.commands.rebaseline import Rebaseline

37.333333

63

0.84375

30

224

6.3

0.566667

0.190476

0.253968

0.380952

0

0.107143

224

5

64

44.8

0.945

0.272321

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

7089bbc4b72df271ca39b8a72e8fa87a746a5c9c

106

py

Python

ltr/actors/__init__.py

Jee-King/ICCV2021_Event_Frame_Tracking

ea86cdd331748864ffaba35f5efbb3f2a02cdb03

[ "MIT" ]

15

2021-08-31T13:32:12.000Z

2022-03-24T01:55:41.000Z

ltr/actors/__init__.py

Jee-King/ICCV2021_Event_Frame_Tracking

ea86cdd331748864ffaba35f5efbb3f2a02cdb03

[ "MIT" ]

2

2022-01-13T12:53:29.000Z

2022-03-31T08:14:42.000Z

ltr/actors/__init__.py

Jee-King/ICCV2021_Event_Frame_Tracking

ea86cdd331748864ffaba35f5efbb3f2a02cdb03

[ "MIT" ]

2

2021-11-08T16:27:16.000Z

2021-12-08T14:24:27.000Z

from .base_actor import BaseActor from .bbreg import AtomActor from .tracking import DiMPActor, KYSActor

35.333333

41

0.830189

14

106

6.214286

0.714286

0

0.132075

106

3

41

35.333333

0.945652

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

56168a3ba01ce9ddc2760fc49e99b333d64bb2f7

112

py

Python

donut/modules/rooms/__init__.py

rlin0/donut

5672df8e853b4b775d7d50665128b255cd695ec2

[ "MIT" ]

null

donut/modules/rooms/__init__.py

rlin0/donut

5672df8e853b4b775d7d50665128b255cd695ec2

[ "MIT" ]

null

donut/modules/rooms/__init__.py

rlin0/donut

5672df8e853b4b775d7d50665128b255cd695ec2

[ "MIT" ]

null

import flask blueprint = flask.Blueprint('rooms', __name__, template_folder='templates') from . import routes

18.666667

75

0.776786

13

112

6.307692

0.769231

0.341463

0

0.116071

112

5

76

22.4

0.828283

0

0.125

0

1

0

false

0

0.666667

0

0.666667

0.333333

1

0

null

1

0

1

0

null

0

1

0

1

0

5

5628ab6491f2dba420ab9719e42283fb9becaf2d

198

py

Python

baseline_model/constants.py

rtoengi/transfer-learning-for-sign-language-recognition

e0627115e6b68d6b85244d484011bb3895ccf4ee

[ "MIT" ]

1

2021-09-25T14:11:22.000Z

baseline_model/constants.py

rtoengi/transfer-learning-for-sign-language-recognition

e0627115e6b68d6b85244d484011bb3895ccf4ee

[ "MIT" ]

null

baseline_model/constants.py

rtoengi/transfer-learning-for-sign-language-recognition

e0627115e6b68d6b85244d484011bb3895ccf4ee

[ "MIT" ]

4

2021-04-10T01:33:03.000Z

2021-11-11T06:58:59.000Z

# List of the training runs for the different target dataset sizes TRAINING_RUNS = [ 'large_dataset/20200616_090434', 'medium_dataset/20200616_214425', 'small_dataset/20200617_143139' ]

28.285714

66

0.767677

25

198

5.8

0.72

0.165517

0

0.251497

0.156566

198

6

67

33

0.616766

0.323232

0

0.666667

0

1

0

false

0

1

0

null

0

1

0

1

0

1

null

0

5

562dacdbf0875631b4b9e28d5bdcbf46e4ddcfda

8,953

py

Python

sina_spider/spiders/weibo_ids.py

lokicui/sina-spider

89b72752d97d21c16003517ca9ca5544a523f6f3

[ "Apache-2.0" ]

null

sina_spider/spiders/weibo_ids.py

lokicui/sina-spider

89b72752d97d21c16003517ca9ca5544a523f6f3

[ "Apache-2.0" ]

null

sina_spider/spiders/weibo_ids.py

lokicui/sina-spider

89b72752d97d21c16003517ca9ca5544a523f6f3

[ "Apache-2.0" ]

null

# encoding=utf-8 import urllib from urlparse import urlparse, urljoin """ 初始的待爬队列 """ weiboID = [ '1797054534', '2509414473', '2611478681', '5861859392', '2011086863', '5127716917', '1259110474', '5850775634', '1886437464', '3187474530', '2191982701', '1940562032', '5874450550', '1337925752', '2081079420', '5664530558', '3493173952', '1202806915', '1864507535', '2032640064', '5585682587', '3083673764', '5342109866', '5878685868', '5728706733', '2103050415', '5876752562', '3138085045', '5775974583', '1879400644', '2417139911', '5836619975', '5353816265', '5219508427', '1766613205', '2480158031', '5660754163', '2456764664', '3637354755', '1940087047', '5508473104', '1004454162', '2930327837', '1874608417', '5379621155', '1720664360', '2714280233', '3769073964', '5624119596', '2754904375', '5710151998', '5331042630', '5748179271', '2146132305', '2313896275', '3193618787', '5743059299', '1742930277', '5310538088', '1794474362', '2798510462', '3480076671', '5678653833', '5743657357', '5460191980', '1734164880', '5876988653', '5678031258', '5860163996', '1496924574', '5878970110', '1679704482', '1142210982', '3628925351', '1196397981', '1747485107', '5675893172', '5438521785', '2192269762', '1992614343', '5878686155', '2407186895', '5559116241', '2528477652', '1295950295', '5038203354', '3659276765', '2126733792', '5878350307', '2761179623', '5484511719', '5825708520', '1578230251', '5878686190', '5810946551', '3833070073', '1795047931', '5855789570', '3580125714', '5709578773', '5236539926', '2907633071', '1709244961', '5405450788', '3251257895', '5054538290', '2713199161', '5698445883', '1784537661', '3195290182', '1824506454', '5738766939', '5565915740', '5336031840', '5098775138', '5685568105', '1774289524', '2932662914', '5433223957', '2680044311', '1111523983', '5067889432', '5878686362', '2844992161', '3878314663', '1766548141', '5763269297', '5878383287', '5235499706', '5876375670', '5866447563', '5129945819', '1704116960', '1929380581', '1223762662', '1193476843', '2899591923', '5162099453', '5072151301', '5385741066', '5411455765', '2685535005', '2297905950', '1216766752', '5838668577', '5359133478', '3077460103', '5577802539', '5862392623', '1786700611', '1259258694', '1845191497', '1731838797', '1740301135', '2816074584', '1217733467', '5345035105', '5050827618', '5486257001', '5767857005', '2050605943', '5733778298', '1914725244', '5872583558', '5604377483', '1253491601', '5554922386', '3170223002', '5662737311', '3217179555', '1538163622', '5304533928', '5644198830', '1896650227', '5298774966', '2795873213', '1834378177', '5769651141', '2656256971', '5876433869', '1826792401', '3002246100', '3082519511', '5780366296', '5704696797', '5204108258', '2090615793', '1739746131', '1378010100', '5741331445', '2376442895', '3638486041', '5781365789', '1827234850', '5703214121', '1855398955', '1227908142', '5703820334', ] weiboID = [ '1722123442' ] weiboID = [ '1722123442', #史悲 '2019071187', #罗小黑 '5403534267', #聊天斗图 '5272575915', #宋民国表情包精选 '3167305545', #每天一张萌宠动物图 '2095611192', #演技车祸现场最新毒舌点评 '5871645364', #沙梨熊写了新的历史八卦 '2146965345', #大咕咕咕鸡有新的严肃文学作品 '6178699382', #大力哥最新搞笑视频 '1764772175', #Dick_Ng漫画有更新 '3222817584', #ipanda熊猫萌图 '1771123430', #热门电影预告片 '3840084769', #微博博主骨朵网络影视个人主页 '3986147355', #新剧不能停 '5819881382', #赵丽颖日常动态提醒 '1870415713', #青春剧透社 '1642591402', #新浪娱乐 ] weibo_urls = [ 'https://weibo.cn/1722123442', #史悲 'https://weibo.cn/2019071187', #罗小黑 'https://weibo.cn/5403534267', #聊天斗图 'https://weibo.cn/5272575915', #宋民国表情包精选 'https://weibo.cn/3167305545', #每天一张萌宠动物图 'https://weibo.cn/2095611192', #演技车祸现场最新毒舌点评 'https://weibo.cn/5871645364', #沙梨熊写了新的历史八卦 'https://weibo.cn/2146965345', #大咕咕咕鸡有新的严肃文学作品 'https://weibo.cn/6178699382', #大力哥最新搞笑视频 'https://weibo.cn/1764772175', #Dick_Ng漫画有更新 'https://weibo.cn/3222817584', #ipanda熊猫萌图 'https://weibo.cn/1771123430', #热门电影预告片 'https://weibo.cn/3840084769', #微博博主骨朵网络影视个人主页 'https://weibo.cn/3986147355', #新剧不能停 'https://weibo.cn/5819881382', #赵丽颖日常动态提醒 'https://weibo.cn/1870415713', #青春剧透社 'https://weibo.cn/1642591402', #新浪娱乐 'https://weibo.cn/chenzhentongxue', #陈震 'https://weibo.cn/1886672467', #看看人家怎么玩手办的 'https://weibo.cn/3178541805', #动漫绘制技巧 'https://weibo.cn/1671194705', #我和女儿的日常漫画 'https://weibo.cn/5466517185', #赵石的声音 'https://weibo.cn/2286017507', #鳄鱼日记最新 'https://weibo.cn/1769684987', #午夜回响 'https://weibo.cn/1811865445', #韩语歌学习机 'https://weibo.cn/3878404025', #华晨宇最新资讯 'https://weibo.cn/2792589472', #油管红人热门翻唱视频 'https://weibo.cn/2212758830', #1022女生有最新翻唱作品 'https://weibo.cn/5261682202', #海外大牌音乐节 'https://weibo.cn/6042105142', #百听不厌的音乐现场 'https://weibo.cn/5500491427', #新出了优秀的独立游戏 'https://weibo.cn/6137455005', #steam游戏支持中文了 'https://weibo.cn/5844573935', #网红零食安利 'https://weibo.cn/5882998192', #pony小姐姐视频更新 'https://weibo.cn/2842442467', #热门彩妆试色 'https://weibo.cn/5883682290', #匹肤有新的护肤品评测视频 'https://weibo.cn/1249685117', #女生穿搭looklook 'https://weibo.cn/2676774873', #土产研究所 'https://weibo.cn/1741514817', #星巴克优惠活动和新品推荐 'https://weibo.cn/1785749160', #宜家家居优惠提醒 'https://weibo.cn/6004281123', #梨视频 'https://weibo.cn/1640601392', #资讯短视频精选推荐 'https://weibo.cn/1768008414', #值得一看的短视频推荐 'https://weibo.cn/1915556097', #网红猫咖喱最新萌图 'https://weibo.cn/3901429666', #谷阿莫说故事有新作品 'https://weibo.cn/5759186675', #网红大揭秘 'https://weibo.cn/3217179555', #回忆专用小马甲更博提醒 'https://weibo.cn/2044145800', #奇葩二货的日常 'https://weibo.cn/5676304901', #体育新闻媒体b/rins精选 'https://weibo.cn/6040514775', #2020奥运会最新消息 'https://weibo.cn/linewebtoon', #每日漫画 'https://weibo.cn/pixivchan', #Pixiv每日排行 'https://weibo.cn/ryuetsuya', #有趣的二次元日推 'https://weibo.cn/275500255', #又有新的民乐改编 'https://weibo.cn/richboxx', #音乐车祸现场 'https://weibo.cn/oemk', #音乐不严肃 'https://weibo.cn/234530265', #腹黑音乐冷知识 'https://weibo.cn/bigbangfanscom', #Bigbang最新资讯 'https://weibo.cn/517656716', #游戏玩家的日常 'https://weibo.cn/a9vg', #任天堂又出新游戏了 'https://weibo.cn/foodvideo', #美食台每日视频 'https://weibo.cn/findjapan', #霓虹国美食精选 'https://weibo.cn/yitcom', #一条有新视频 'https://weibo.cn/277114280', #微博化妆品种草 'https://weibo.cn/qilixiang', #李想点评汽车提醒 'https://weibo.cn/watsonschina', #屈臣氏优惠提醒 'https://weibo.cn/watsonschina', #图书网购折扣优惠 'https://weibo.cn/uniqlo', #优衣库和GU新品上架 'https://weibo.cn/mujish', #muji最新优惠与新品推荐 'https://weibo.cn/foodvideo', #美食台每日视频 'https://weibo.cn/wangzheDMW', #王者不修图 'https://weibo.cn/2634154091', #虫虫的微博更新 'https://weibo.cn/sodasoccer', #这些梗只有足球狗懂 'https://weibo.cn/cctv5', #CCTV5精选 'https://weibo.cn/entpaparazzi', #娱乐圈抄袭风波速报 'https://weibo.cn/Jerrychen0622', #八卦星文 'https://weibo.cn/xltv', #明星撕逼速报 'https://weibo.cn/starjiepai', #女明星走光提醒 'https://weibo.cn/sogaynews', #全球同志新闻 'https://weibo.cn/finance', #财经资讯 'https://weibo.cn/yicairibao', #第一财经 'https://weibo.cn/qilixiang', #李想点评汽车提醒 ] def get_user_urls(): ''' 1 统一为转https://weibo.cn/videosohu 这种格式 ''' host = 'https://weibo.cn/' R = [] for url in weibo_urls: result = urlparse(url) new_url = urljoin(host, result.path.replace('u/', '')) R.append(new_url) return R def get_topic_urls(): topics = [ u'我的观影故事', u'图解电影午夜场', u'知乎钓鱼贴图', u'十万个小肉段', u'最萌宠物', u'北京猫咪领养', u'家有柴犬', u'晚安物语', u'薛之谦粉丝今天碰瓷了吗', u'今天大张伟的粉丝道歉了吗', u'评论音轨', u'花絮集中营', u'童年阴影又来了', ] topic_urls = [] for topic in topics: url = 'https://m.weibo.cn/k/%s?from=feed' % urllib.quote(topic.encode('utf8')) topic_urls.append(url) _topic_urls = [ 'https://m.weibo.cn/k/%E6%88%91%E7%9A%84%E8%A7%82%E5%BD%B1%E6%95%85%E4%BA%8B?from=feed', #我的观影故事 'https://m.weibo.cn/k/%E5%9B%BE%E8%A7%A3%E7%94%B5%E5%BD%B1%E5%8D%88%E5%A4%9C%E5%9C%BA?from=feed', #图解电影午夜场 'https://m.weibo.cn/k/%E7%9F%A5%E4%B9%8E%E9%92%93%E9%B1%BC%E8%B4%B4%E5%9B%BE%E7%89%87%E7%89%88?from=feed', #知乎钓鱼贴图 'https://m.weibo.cn/k/%E5%8D%81%E4%B8%87%E4%B8%AA%E5%B0%8F%E8%82%89%E6%AE%B5?from=feed',#十万个小肉段 ] return topic_urls if __name__ == '__main__': for u in get_topic_urls(): print u

48.923497

129

0.617

883

8,953

6.227633

0.519819

0.113293

0.181124

0.01182

0.038552

0.020367

0.014548

0

0.388743

0.194348

8,953

182

130

49.192308

0.373631

0.091813

0

0.052941

0

0.023529

0.610106

0

null

0

0.011765

null

0.005882

0

null

0

1

0

1

0

1

0

1

0

null

0

1

0

5

5653b81f79a6a91a1dbe61fae71b29a0c0c15120

142

py

Python

krogon_gocd/hash.py

enamrik/krogon-gocd

fa4d836691f8fb4882c3385ec1fd41c2cb9a98f2

[ "MIT" ]

null

krogon_gocd/hash.py

enamrik/krogon-gocd

fa4d836691f8fb4882c3385ec1fd41c2cb9a98f2

[ "MIT" ]

null

krogon_gocd/hash.py

enamrik/krogon-gocd

fa4d836691f8fb4882c3385ec1fd41c2cb9a98f2

[ "MIT" ]

null

import bcrypt def hash_text(plaintext: str) -> str: return bcrypt.hashpw(plaintext.encode('utf-8'), bcrypt.gensalt(10)).decode('utf-8')

23.666667

87

0.711268

21

142

4.761905

0.714286

0.08

0

0.031746

0.112676

142

5

88

28.4

0.761905

0

0.070423

0

1

0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

56946248a8d53bc23992cfb5128bfd8d7aded770

2,814

py

Python

gears/usables.py

fmunoz-geo/gearhead-caramel

315835481d543420826439245be01460fe6dd81b

[ "Apache-2.0" ]

2

2020-05-30T07:52:27.000Z

2021-02-18T10:55:30.000Z

gears/usables.py

fmunoz-geo/gearhead-caramel

315835481d543420826439245be01460fe6dd81b

[ "Apache-2.0" ]

56

2020-05-30T09:03:48.000Z

2022-03-31T12:06:49.000Z

gears/usables.py

CartoonFan/gearhead-caramel

61995f382923695176ab7a65253f42e849e0c4d7

[ "Apache-2.0" ]

null

from pbge import Singleton from . import geffects, stats, materials, aitargeters, enchantments import pbge class AntidotePill(Singleton): VALUE = 800 @classmethod def get_invocations(cls, pc): mylist = list() mylist.append(pbge.effects.Invocation( name = 'Antidote', fx=geffects.DispelEnchantments( dispel_this=enchantments.USE_ANTIDOTE, anim = geffects.MedicineAnim, ), area=pbge.scenes.targetarea.SelfOnly(), used_in_combat = True, used_in_exploration=True, ai_tar = aitargeters.GenericTargeter(impulse_score=50,conditions=[aitargeters.TargetIsAlly(),aitargeters.TargetIsOperational(),aitargeters.TargetHasEnchantment(geffects.Poisoned)],targetable_types=pbge.scenes.PlaceableThing), shot_anim=None, data=geffects.AttackData(pbge.image.Image('sys_skillicons.png',32,32),15), price=[], targets=1 )) return mylist class QuickFixPill(Singleton): VALUE = 1000 @classmethod def get_invocations(cls, pc): mylist = list() mylist.append(pbge.effects.Invocation( name = 'Quick Fix', fx=geffects.DoHealing( 3,6,repair_type=materials.RT_MEDICINE, anim = geffects.MedicineAnim, ), area=pbge.scenes.targetarea.SelfOnly(), used_in_combat = True, used_in_exploration=True, ai_tar = aitargeters.GenericTargeter(impulse_score=10,conditions=[aitargeters.TargetIsAlly(),aitargeters.TargetIsOperational(),aitargeters.TargetIsDamaged(materials.RT_MEDICINE)],targetable_types=pbge.scenes.PlaceableThing), shot_anim=None, data=geffects.AttackData(pbge.image.Image('sys_skillicons.png',32,32),0), price=[], targets=1 )) return mylist class DuctTape(Singleton): VALUE = 75 @classmethod def get_invocations(cls, pc): mylist = list() mylist.append(pbge.effects.Invocation( name = 'Duct Tape', fx=geffects.DoHealing( 3,6,repair_type=materials.RT_REPAIR, anim = geffects.RepairAnim, ), area=pbge.scenes.targetarea.SingleTarget(reach=1), used_in_combat = True, used_in_exploration=True, ai_tar = aitargeters.GenericTargeter(impulse_score=10,conditions=[aitargeters.TargetIsAlly(),aitargeters.TargetIsOperational(),aitargeters.TargetIsDamaged(materials.RT_REPAIR)],targetable_types=pbge.scenes.PlaceableThing), shot_anim=None, data=geffects.AttackData(pbge.image.Image('sys_skillicons.png',32,32),0), price=[], targets=1 )) return mylist

40.782609

237

0.637171

278

2,814

6.31295

0.327338

0.034188

0.02906

0.047863

0.776068

0.71396

0.666097

0

0.018732

0.260128

2,814

68

238

41.382353

0.824207

0

0.650794

0

0.028429

0

1

0.047619

false

0

0.047619

0

0.238095

0

null

0

1

0

null

0

5

3b628b55e83a5d18872091cffecbc52c87f05478

151

py

Python

py/redrock/__init__.py

michaelJwilson/redrock

477c3d231514b1926dca493f8ab121aa194917bb

[ "BSD-3-Clause" ]

14

2017-09-22T23:57:33.000Z

2022-03-15T10:36:16.000Z

py/redrock/__init__.py

michaelJwilson/redrock

477c3d231514b1926dca493f8ab121aa194917bb

[ "BSD-3-Clause" ]

154

2017-06-04T22:57:39.000Z

2022-03-11T23:01:16.000Z

py/redrock/__init__.py

michaelJwilson/redrock

477c3d231514b1926dca493f8ab121aa194917bb

[ "BSD-3-Clause" ]

10

2017-06-09T15:24:59.000Z

2021-05-26T13:16:42.000Z

""" redrock ======= Redrock redshift fitter. """ from __future__ import absolute_import, division, print_function from ._version import __version__

13.727273

64

0.754967

16

151

6.4375

0.6875

0

0.13245

151

10

65

15.1

0.78626

0.271523

0

1

0

true

0

1

0

1

0.5

1

0

null

0

null

0

1

0

1

0

1

0

5

3b682c1a3883eea1f0aa3c9f702185a33f071bee

28

py

Python

python/simplify.py

TechieHelper/Codewars

98ea8deb14ae1422162895f481e4175ab5868955

[ "MIT" ]

null

python/simplify.py

TechieHelper/Codewars

98ea8deb14ae1422162895f481e4175ab5868955

[ "MIT" ]

null

python/simplify.py

TechieHelper/Codewars

98ea8deb14ae1422162895f481e4175ab5868955

[ "MIT" ]

null

def simplify(poly): pass

14

19

0.678571

4

28

4.75

1

0

0.214286

28

2

20

14

0.863636

0

1

0.5

false

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

8e99999de5094fce0ec82d779540a74213bbb477

985

py

Python

python/test/datetime/test_sec2str.py

takashiharano/util

0f730475386a77415545de3f9763e5bdeaab0e94

[ "MIT" ]

null

python/test/datetime/test_sec2str.py

takashiharano/util

0f730475386a77415545de3f9763e5bdeaab0e94

[ "MIT" ]

null

python/test/datetime/test_sec2str.py

takashiharano/util

0f730475386a77415545de3f9763e5bdeaab0e94

[ "MIT" ]

null

#!python import os import sys sys.path.append(os.path.join(os.path.dirname(__file__), '../..')) import util def main(): print(util.sec2str(0)) print(util.sec2str(0.000001)) print(util.sec2str(0.00001)) print(util.sec2str(0.1)) print(util.sec2str(0.123456)) print(util.sec2str(0.1234567)) print(util.sec2str(1)) print(util.sec2str(1.1)) print(util.sec2str(60)) print(util.sec2str(61)) print(util.sec2str(61.123)) print(util.sec2str(3600)) print(util.sec2str(3601)) print(util.sec2str(3660)) print(util.sec2str(3661)) print(util.sec2str(86400)) print(util.sec2str(86400, h=True)) print(util.sec2str(171959.123456)) print('--- f=True ---') print(util.sec2str(0, f=True)) print(util.sec2str(0.000001, f=True)) print(util.sec2str(0.00001, f=True)) print(util.sec2str(0.1, f=True)) print(util.sec2str(0.123456, f=True)) print(util.sec2str(0.1234567, f=True)) print(util.sec2str(1, f=True)) print(util.sec2str(1.1, f=True)) main()

23.452381

65

0.684264

159

985

4.213836

0.201258

0.349254

0.620896

0.304478

0.492537

0.264179

0

0.161327

0.11269

985

41

66

24.02439

0.605263

0.007107

0

0.019447

0

1

0.030303

true

0

0.090909

0

0.121212

0.818182

0

null

1

0

null

0

1

0

1

0

5

8eb7d1f96a999d00b78e6d413d5f7e9bee3008ad

111

py

Python

modules/web_caller.py

tkh/test-examples

39c6fd0f35b6cc1a36a4d1dc8ba1a32ea4c1552c

[ "MIT" ]

2

2016-12-28T09:15:47.000Z

2016-12-30T19:04:03.000Z

modules/web_caller.py

tkh/test-examples

39c6fd0f35b6cc1a36a4d1dc8ba1a32ea4c1552c

[ "MIT" ]

null

modules/web_caller.py

tkh/test-examples

39c6fd0f35b6cc1a36a4d1dc8ba1a32ea4c1552c

[ "MIT" ]

1

2018-04-28T17:54:59.000Z

import requests GOOGLE_URL = 'http://www.google.com' def get_google(): return requests.get(GOOGLE_URL)

12.333333

36

0.720721

16

111

4.8125

0.625

0.233766

0

0.153153

111

8

37

13.875

0.819149

0

0.189189

0

1

0.25

false

0

0.25

0.75

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

8ee89bfd4d09cb02af15a2624e9295bef8510e5b

450

py

Python

pyti/double_exponential_moving_average.py

dibyajyotidash/https-github.com-kylejusticemagnuson-pyti

08532970f9d2b163f1223599e3ac80f6c51533e4

[ "MIT" ]

635

2017-04-04T20:24:47.000Z

2022-03-28T16:00:23.000Z

pyti/double_exponential_moving_average.py

dibyajyotidash/https-github.com-kylejusticemagnuson-pyti

08532970f9d2b163f1223599e3ac80f6c51533e4

[ "MIT" ]

24

2017-10-22T15:01:54.000Z

2021-01-30T19:51:00.000Z

pyti/double_exponential_moving_average.py

dibyajyotidash/https-github.com-kylejusticemagnuson-pyti

08532970f9d2b163f1223599e3ac80f6c51533e4

[ "MIT" ]

183

2017-07-01T16:06:39.000Z

2022-03-07T23:29:11.000Z

from __future__ import absolute_import from pyti import catch_errors from pyti.exponential_moving_average import ( exponential_moving_average as ema ) def double_exponential_moving_average(data, period): """ Double Exponential Moving Average. Formula: DEMA = 2*EMA - EMA(EMA) """ catch_errors.check_for_period_error(data, period) dema = (2 * ema(data, period)) - ema(ema(data, period), period) return dema

23.684211

67

0.717778

58

450

5.275862

0.396552

0.222222

0.313725

0.196078

0

0.00554

0.197778

450

18

68

25

0.842105

0.151111

0

1

0.111111

false

0

0.333333

0

0.555556

0

null

1

0

null

0

1

0

1

0

5

8eebb2f6aba7ad2ba508894d490ad75a068ada61

236

py

Python

9_functions/9_keywordArguments.py

qaidjohar/PythonCourse

6c638f8a1e1172eb12459c0fd6dc20e0590825b8

[ "MIT" ]

null

9_functions/9_keywordArguments.py

qaidjohar/PythonCourse

6c638f8a1e1172eb12459c0fd6dc20e0590825b8

[ "MIT" ]

null

9_functions/9_keywordArguments.py

qaidjohar/PythonCourse

6c638f8a1e1172eb12459c0fd6dc20e0590825b8

[ "MIT" ]

null

def fullName(first_name, last_name): return f'Your first name is {first_name} and last name is {last_name}' print(fullName(first_name = 'Qaidjohar', last_name = 'Jawadwala')) # name = fullName('Qaidjohar','Jawadwala') # print(name)

39.333333

74

0.733051

34

236

4.911765

0.382353

0.215569

0.203593

0

0.127119

236

6

75

39.333333

0.81068

0.220339

0

0.428571

0

1

0.333333

false

0

0.333333

0.666667

0.333333

0

null

1

0

1

0

null

0

1

0

1

0

5

d6fe685c35fbd2079ff748e00e571d8b9223f3ba

19

py

Python

guandu.py

shazihao/nextdoo

abd866696c14408e88d87ce06dbc5c7b7c6399ac

[ "Apache-2.0" ]

null

guandu.py

shazihao/nextdoo

abd866696c14408e88d87ce06dbc5c7b7c6399ac

[ "Apache-2.0" ]

null

guandu.py

shazihao/nextdoo

abd866696c14408e88d87ce06dbc5c7b7c6399ac

[ "Apache-2.0" ]

null

print('thats good')

19

0.736842

3

19

4.666667

1

0

0.052632

19

1

19

0.777778

0

0.5

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

d91517f663cad101cba44c03bed12083eb97f6fa

98

py

Python

forge/elements/augmentors/__init__.py

AndresMWeber/Forge

90b2958a2a40d37b52232091bea9c3ddbd88566b

[ "MIT" ]

1

2021-08-17T02:36:06.000Z

forge/elements/augmentors/__init__.py

AndresMWeber/Forge

90b2958a2a40d37b52232091bea9c3ddbd88566b

[ "MIT" ]

1

2017-06-12T04:32:54.000Z

forge/elements/augmentors/__init__.py

AndresMWeber/Forge

90b2958a2a40d37b52232091bea9c3ddbd88566b

[ "MIT" ]

1

2017-06-12T05:47:21.000Z

import stretch import ik import twist_interpolators __all__ = ['stretch', 'twist_interpolators']

16.333333

44

0.806122

11

98

6.636364

0.545455

0.493151

0

0.112245

98

5

45

19.6

0.83908

0

0.265306

0

1

0

false

0

0.75

0

0.75

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

d9533496a7718507a668b5190fc89452cbb73d39

229

py

Python

launchpad/explorer.py

mikbukow/launchpad

ab599a36c0d4dc5deac9fcafc3b1eae13559d18b

[ "MIT" ]

2

2018-09-21T20:13:54.000Z

2018-09-24T23:13:15.000Z

launchpad/explorer.py

codingandcommunity/curriculumAPI

92ca773155e2b39acd6f32b6a33d94f083c96b72

[ "MIT" ]

null

launchpad/explorer.py

codingandcommunity/curriculumAPI

92ca773155e2b39acd6f32b6a33d94f083c96b72

[ "MIT" ]

2

2018-10-23T21:05:18.000Z

2018-10-23T21:06:30.000Z

from flask import Blueprint explorer = Blueprint('explorer', __name__, template_folder='templates') @explorer.route('/') def index(): return 'Explorer index' @explorer.route('/test') def test(): return 'Explorer test'

19.083333

71

0.71179

26

229

6.076923

0.538462

0.21519

0

0.139738

229

11

72

20.818182

0.80203

0

0.218341

0

1

0.25

false

0

0.125

0.25

0.625

0.25

1

0

null

1

0

null

0

1

0

1

0

5

795fd3fe6d7d7b004dd81e70f06dba806a77ae6d

200

py

Python

examples/example_modules/module_2.py

vladcalin/pymicroservice

325a49d17621b9d45ffd2b5eca6f0de284de8ba4

[ "MIT" ]

2

2016-12-17T13:09:14.000Z

2016-12-31T18:38:57.000Z

examples/example_modules/module_2.py

vladcalin/pymicroservice

325a49d17621b9d45ffd2b5eca6f0de284de8ba4

[ "MIT" ]

15

2016-11-27T13:28:25.000Z

2017-01-10T09:09:30.000Z

examples/example_modules/module_2.py

vladcalin/pymicroservice

325a49d17621b9d45ffd2b5eca6f0de284de8ba4

[ "MIT" ]

null

from gemstone.core.modules import Module import gemstone class SecondModule(Module): @gemstone.exposed_method("module2.say_hello") def say_hello(self): return "Hello from module 2!"

22.222222

49

0.74

26

200

5.576923

0.653846

0.110345

0

0.012048

0.17

200

8

50

25

0.861446

0

0.185

0

1

0.166667

false

0

0.333333

0.166667

0.833333

0

1

0

null

0

1

0

null

0

1

0

5

8dc046a4a743c959cf89d63fdbe7ae777ee22bc9

360

py

Python

tests/core_test.py

soft-r-evolution/lib.s_utils

3559faaf1af0ccd62b762024b12548213c552e06

[ "MIT" ]

1

2020-04-10T22:36:56.000Z

tests/core_test.py

soft-r-evolution/lib.s_utils

3559faaf1af0ccd62b762024b12548213c552e06

[ "MIT" ]

4

2020-04-10T22:02:15.000Z

2020-04-11T23:38:02.000Z

tests/core_test.py

soft-r-evolution/lib.s_utils

3559faaf1af0ccd62b762024b12548213c552e06

[ "MIT" ]

1

2020-04-10T22:37:18.000Z

from s_utils.dict import get_key def test_no_log(): assert not get_key(None, None, no_log=1) assert not get_key(None, None, no_log=True) # should test log is empty def test_log(): assert not get_key(None, None) assert not get_key(None, None, no_log=0) assert not get_key(None, None, no_log=False) # should test log is not empty

24

48

0.697222

67

360

3.537313

0.313433

0.151899

0.253165

0.316456

0.594937

0.472574

0

0.007067

0.213889

360

14

49

25.714286

0.830389

0.147222

0

0.625

1

0.25

true

0

0.125

0

0.375

0

null

0

1

0

null

0

1

0

1

0

5

8dfb3fbfc843c3be1d818addbf1984396e1ec8a7

211

py

Python

module4-software-testing-documentation-and-licensing/yeetroot.py

rselent/DS-Unit-3-Sprint-1-Software-Engineering

c11433214a91cde68a328c61c4b6d73ac7671dc0

[ "MIT" ]

null

module4-software-testing-documentation-and-licensing/yeetroot.py

rselent/DS-Unit-3-Sprint-1-Software-Engineering

c11433214a91cde68a328c61c4b6d73ac7671dc0

[ "MIT" ]

null

module4-software-testing-documentation-and-licensing/yeetroot.py

rselent/DS-Unit-3-Sprint-1-Software-Engineering

c11433214a91cde68a328c61c4b6d73ac7671dc0

[ "MIT" ]

null

""" Simple yeetroot example """ def yeetRoot(): num = int( input( "which number would you like the square root of? ")) # return print( "the square root of {} is: {:.5f}".format( num, num**.5) ) return num**.5

26.375

74

0.635071

32

211

4.1875

0.6875

0.134328

0.19403

0.223881

0

0.017341

0.180095

211

8

75

26.375

0.757225

0.459716

0

0.448598

0

1

0.333333

false

0

0.666667

0

null

0

1

0

1

0

null

0

1

0

1

0

5

5c103d5806b3cf61faad4b31d5e4506c4a559efc

787

py

Python

examples/Town_v2/test1.py

hxb1997/Menge

7a09a6236d8eef23e3d15d08873d5918d064761b

[ "Apache-2.0" ]

null

examples/Town_v2/test1.py

hxb1997/Menge

7a09a6236d8eef23e3d15d08873d5918d064761b

[ "Apache-2.0" ]

null

examples/Town_v2/test1.py

hxb1997/Menge

7a09a6236d8eef23e3d15d08873d5918d064761b

[ "Apache-2.0" ]

1

2021-07-01T09:40:01.000Z

import sys import numpy as np import os if __name__ == '__main__': ''' agent_shopping_moment = [] for i in range(0, 10): agent_shopping_moment.append([]) for j in range(0, 2): agent_shopping_moment[i].append([]) #agent_shopping_moment[0][0].append(1) #agent_shopping_moment[0][1].append(2) #for moment, shop in agent_shopping_moment[0]: #print moment, shop print agent_shopping_moment ''' #M0,M1,M2,Sh0,Sh1,Sh2,S = sys.argv[1], sys.argv[2], sys.argv[3], sys.argv[4], sys.argv[5], sys.argv[6], sys.argv[7] #[[1,0,1],[0,4,5],3] #num = 5 #num_1 = int(num ** 0.5) #print num_1 os.system('D:\File\Project\Menge-master\examples\Town_v2\/town_all\/"Vehicle Project.exe"')

29.148148

120

0.594663

125

787

3.536

0.408

0.205882

0.300905

0.135747

0

0.063123

0.23507

787

27

121

29.148148

0.671096

0.221093

0

0.2

0.441026

0.333333

0

1

0

true

0

0.6

0

0.6

0

null

1

0

null

0

1

0

1

0

1

0

5

5c4a59fd4ab6dc248a1ff53adc7b05c17efd6093

13,795

py

Python

tests/catalyst/metrics/test_segmentation.py

tadejsv/catalyst

2553ce8fd7cecc025ad88819aea73faf8abb229b

[ "Apache-2.0" ]

2,693

2019-01-23T19:16:12.000Z

2022-03-31T02:12:42.000Z

tests/catalyst/metrics/test_segmentation.py

Ran485/catalyst

84bc7576c981278f389279d87dda85dd66a758b6

[ "Apache-2.0" ]

763

2019-01-22T20:12:56.000Z

2022-03-27T18:36:10.000Z

tests/catalyst/metrics/test_segmentation.py

Ran485/catalyst

84bc7576c981278f389279d87dda85dd66a758b6

[ "Apache-2.0" ]

445

2019-01-23T17:07:09.000Z

2022-03-30T05:38:45.000Z

# flake8: noqa from typing import Dict, List, Union import pytest import torch from catalyst.metrics import DiceMetric, IOUMetric, TrevskyMetric base_outputs = torch.tensor([[0.8, 0.1, 0], [0, 0.4, 0.3], [0, 0, 1]]) base_targets = torch.tensor([[1.0, 0, 0], [0, 1, 0], [1, 1, 0]]) base_outputs = torch.stack([base_outputs, base_targets])[None, :, :, :] base_targets = torch.stack([base_targets, base_targets])[None, :, :, :] base_outputs_2 = torch.tensor([[0.8, 0.1, 0.4], [0.1, 0.4, 0.3], [0, 1, 1]]) base_targets_2 = torch.tensor([[1.0, 0.1, 0], [0, 0.5, 0], [0, 1, 1]]) base_outputs_2 = torch.stack([base_outputs_2, base_targets_2])[None, :, :, :] base_targets_2 = torch.stack([base_targets_2, base_targets_2])[None, :, :, :] EPS = 1e-5 @pytest.mark.parametrize( "outputs, targets, weights, class_names, batch_answers, total_answers", ( ( [base_outputs, base_outputs_2], [base_targets, base_targets_2], [0.2, 0.8], ["class_name_00", "class_name_01"], [ { "dice/class_name_00": 0.3636363446712494, "dice/class_name_01": 1.0, "dice": 0.6818182, "dice/_weighted": 0.8727272748947144, }, { "dice/class_name_00": 0.781818151473999, "dice/class_name_01": 0.9055555462837219, "dice": 0.8436868190765381, "dice/_weighted": 0.8808081150054932, }, ], [ { "dice/class_name_00": 0.3636363446712494, "dice/class_name_01": 1.0, "dice": 0.6818181872367859, "dice/_micro": 0.7123287916183472, "dice/_weighted": 0.8727272748947144, }, { "dice/class_name_00": 0.5888112187385559, "dice/class_name_01": 0.9552631378173828, "dice/_micro": 0.7776271104812622, "dice": 0.772037148475647, "dice/_macro": 0.772037148475647, "dice/_weighted": 0.8819727897644043, }, ], ), ), ) def test_dice_metric( outputs: List[torch.Tensor], targets: List[torch.Tensor], weights: List[float], class_names: List[str], batch_answers: List[Dict[str, float]], total_answers: List[Dict[str, float]], ): """Docs.""" metric = DiceMetric(weights=weights, class_names=class_names) for output, target, batch_answer, total_answer in zip( outputs, targets, batch_answers, total_answers ): batch_score = metric.update_key_value(output, target) total_score = metric.compute_key_value() for key, value in batch_answer.items(): assert key in batch_score assert abs(batch_score[key] - batch_answer[key]) < EPS for key, value in total_answer.items(): assert key in total_score assert abs(total_score[key] - total_answer[key]) < EPS @pytest.mark.parametrize( "outputs, targets, weights, class_names, batch_answers, total_answers", ( ( [base_outputs, base_outputs_2], [base_targets, base_targets_2], [0.2, 0.8], ["class_name_00", "class_name_01"], [[0.3636363446712494, 1.0], [0.781818151473999, 0.9055555462837219]], [ [ [0.3636363446712494, 1.0], 0.7123287916183472, 0.6818181872367859, 0.8727272748947144, ], [ [0.5888112187385559, 0.9552631378173828], 0.7776271104812622, 0.772037148475647, 0.8819727897644043, ], ], ), ), ) def test_dice_metric_compute( outputs: List[torch.Tensor], targets: List[torch.Tensor], weights: List[float], class_names: List[str], batch_answers: List[List[float]], total_answers: List[List[Union[List[float], float]]], ): """Docs.""" metric = DiceMetric(weights=weights, class_names=class_names) for output, target, batch_answer, total_answer in zip( outputs, targets, batch_answers, total_answers ): batch_score = metric.update(output, target) total_score = metric.compute() assert len(batch_answer) == len(batch_score) for pred, answer in zip(batch_score, batch_answer): assert abs(pred - answer) < EPS assert len(total_score) == len(total_score) for pred, answer in zip(total_score, total_score): if isinstance(pred, list): for pred_sample, answer_sample in zip(pred, answer): assert abs(pred_sample - answer_sample) < EPS else: assert abs(pred - answer) < EPS @pytest.mark.parametrize( "outputs, targets, weights, class_names, batch_answers, total_answers", ( ( [base_outputs, base_outputs_2], [base_targets, base_targets_2], [0.2, 0.8], ["class_name_00", "class_name_01"], [ { "iou/class_name_00": 0.2222222536802292, "iou/class_name_01": 1.0, "iou": 0.6111111, "iou/_weighted": 0.8444444537162781, }, { "iou/class_name_00": 0.641791045665741, "iou/class_name_01": 0.8274111747741699, "iou": 0.7346011400222778, "iou/_weighted": 0.7902871370315552, }, ], [ { "iou/class_name_00": 0.2222222536802292, "iou/class_name_01": 1.0, "iou": 0.6111111044883728, "iou/_micro": 0.5531914830207825, "iou/_weighted": 0.8444444537162781, }, { "iou/class_name_00": 0.4172447919845581, "iou/class_name_01": 0.9143576622009277, "iou/_micro": 0.6361619234085083, "iou": 0.6658012270927429, "iou/_macro": 0.6658012270927429, "iou/_weighted": 0.8149350881576538, }, ], ), ), ) def test_iou_metric( outputs: List[torch.Tensor], targets: List[torch.Tensor], weights: List[float], class_names: List[str], batch_answers: List[Dict[str, float]], total_answers: List[Dict[str, float]], ): """Docs.""" metric = IOUMetric(weights=weights, class_names=class_names) for output, target, batch_answer, total_answer in zip( outputs, targets, batch_answers, total_answers ): batch_score = metric.update_key_value(output, target) total_score = metric.compute_key_value() for key, value in batch_answer.items(): assert key in batch_score assert abs(batch_score[key] - batch_answer[key]) < EPS for key, value in total_answer.items(): assert key in total_score assert abs(total_score[key] - total_answer[key]) < EPS @pytest.mark.parametrize( "outputs, targets, weights, class_names, batch_answers, total_answers", ( ( [base_outputs, base_outputs_2], [base_targets, base_targets_2], [0.2, 0.8], ["class_name_00", "class_name_01"], [[0.2222222536802292, 1.0], [0.641791045665741, 0.8274111747741699]], [ [ [0.2222222536802292, 1.0], 0.5531914830207825, 0.6111111044883728, 0.8444444537162781, ], [ [0.4172447919845581, 0.9143576622009277], 0.6361619234085083, 0.6658012270927429, 0.8149350881576538, ], ], ), ), ) def test_iou_metric_compute( outputs: List[torch.Tensor], targets: List[torch.Tensor], weights: List[float], class_names: List[str], batch_answers: List[List[float]], total_answers: List[List[Union[List[float], float]]], ): """IOU update, compute test""" metric = IOUMetric(weights=weights, class_names=class_names) for output, target, batch_answer, total_answer in zip( outputs, targets, batch_answers, total_answers ): batch_score = metric.update(output, target) total_score = metric.compute() assert len(batch_answer) == len(batch_score) for pred, answer in zip(batch_score, batch_answer): assert abs(pred - answer) < EPS assert len(total_score) == len(total_score) for pred, answer in zip(total_score, total_score): if isinstance(pred, list): for pred_sample, answer_sample in zip(pred, answer): assert abs(pred_sample - answer_sample) < EPS else: assert abs(pred - answer) < EPS @pytest.mark.parametrize( "outputs, targets, alpha, weights, class_names, batch_answers, total_answers", ( ( [base_outputs, base_outputs_2], [base_targets, base_targets_2], 0.2, [0.2, 0.8], ["class_name_00", "class_name_01"], [ { "trevsky/class_name_00": 0.4166666567325592, "trevsky/class_name_01": 1.0, "trevsky": 0.7083333134651184, "trevsky/_weighted": 0.8833333253860474, }, { "trevsky/class_name_00": 0.7524999976158142, "trevsky/class_name_01": 0.9055555462837219, "trevsky": 0.8290277719497681, "trevsky/_weighted": 0.8749444484710693, }, ], [ { "trevsky/class_name_00": 0.4166666567325592, "trevsky/class_name_01": 1.0, "trevsky": 0.7083333134651184, "trevsky/_micro": 0.7558139562606812, "trevsky/_weighted": 0.8833333253860474, }, { "trevsky/class_name_00": 0.6119186282157898, "trevsky/class_name_01": 0.9552631974220276, "trevsky/_micro": 0.7921270728111267, "trevsky": 0.7835909128189087, "trevsky/_macro": 0.7835909128189087, "trevsky/_weighted": 0.886594295501709, }, ], ), ), ) def test_trevsky_metric( outputs: List[torch.Tensor], targets: List[torch.Tensor], alpha: float, weights: List[float], class_names: List[str], batch_answers: List[Dict[str, float]], total_answers: List[Dict[str, float]], ): metric = TrevskyMetric(alpha=alpha, weights=weights, class_names=class_names) for output, target, batch_answer, total_answer in zip( outputs, targets, batch_answers, total_answers ): batch_score = metric.update_key_value(output, target) total_score = metric.compute_key_value() for key, value in batch_answer.items(): assert key in batch_score assert abs(batch_score[key] - batch_answer[key]) < EPS for key, value in total_answer.items(): assert key in total_score assert abs(total_score[key] - total_answer[key]) < EPS @pytest.mark.parametrize( "outputs, targets, alpha, weights, class_names, batch_answers, total_answers", ( ( [base_outputs, base_outputs_2], [base_targets, base_targets_2], 0.2, [0.2, 0.8], ["class_name_00", "class_name_01"], [[0.4166666567325592, 1.0], [0.7524999976158142, 0.9055555462837219]], [ [ [0.4166666567325592, 1.0], 0.7558139562606812, 0.7083333134651184, 0.8833333253860474, ], [ [0.6119186282157898, 0.9552631974220276], 0.7921270728111267, 0.7835909128189087, 0.886594295501709, ], ], ), ), ) def test_trevsky_metric_compute( outputs: List[torch.Tensor], targets: List[torch.Tensor], alpha: float, weights: List[float], class_names: List[str], batch_answers: List[List[float]], total_answers: List[List[Union[List[float], float]]], ): """Trevsky update, compute test""" metric = TrevskyMetric(alpha=alpha, weights=weights, class_names=class_names) for output, target, batch_answer, total_answer in zip( outputs, targets, batch_answers, total_answers ): batch_score = metric.update(output, target) total_score = metric.compute() assert len(batch_answer) == len(batch_score) for pred, answer in zip(batch_score, batch_answer): assert abs(pred - answer) < EPS assert len(total_score) == len(total_score) for pred, answer in zip(total_score, total_score): if isinstance(pred, list): for pred_sample, answer_sample in zip(pred, answer): assert abs(pred_sample - answer_sample) < EPS else: assert abs(pred - answer) < EPS

36.494709

82

0.539108

1,414

13,795

5.03041

0.080622

0.04555

0.027836

0.040489

0.786026

0.738226

0.714326

0.709827

0.670884

0

0.183365

0.348097

13,795

377

83

36.591512

0.607584

0.006162

0

0.603399

0

0.099605

0.012277

0

0.076487

1

0.016997

false

0

0.011331

0

0.028329

0

null

0

1

0

null

0

5

308316c65eba28d4c932793c062dd262c332d559

28

py

Python

noise.py

basp/notes

8831f5f44fc675fbf1c3359a8743d2023312d5ca

[ "MIT" ]

1

2016-12-09T13:58:13.000Z

noise.py

basp/notes

8831f5f44fc675fbf1c3359a8743d2023312d5ca

[ "MIT" ]

null

noise.py

basp/notes

8831f5f44fc675fbf1c3359a8743d2023312d5ca

[ "MIT" ]

null

def init(seed = 0): pass

14

19

0.571429

5

28

3.2

1

0

0.05

0.285714

28

2

20

14

0.75

0

1

0.5

false

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

30b99c2170d89f5d2ccfbed4277252914acb4cde

181

py

Python

allauth/socialaccount/providers/eveonline_provider/urls.py

Fuzzwah/django-allauth

071cbef1388bb61a563d3e41197bd5b7c26664d2

[ "MIT" ]

null

allauth/socialaccount/providers/eveonline_provider/urls.py

Fuzzwah/django-allauth

071cbef1388bb61a563d3e41197bd5b7c26664d2

[ "MIT" ]

null

allauth/socialaccount/providers/eveonline_provider/urls.py

Fuzzwah/django-allauth

071cbef1388bb61a563d3e41197bd5b7c26664d2

[ "MIT" ]

null

from allauth.socialaccount.providers.oauth2_provider.urls import default_urlpatterns from .provider import EveOnlineProvider urlpatterns = default_urlpatterns(EveOnlineProvider)

25.857143

84

0.878453

18

181

8.666667

0.611111

0.230769

0

0.005988

0.077348

181

6

85

30.166667

0.928144

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

30e05beb76a59ba2b357811e38e4aba382bbac26

8,119

py

Python

Tests/test_Statistics.py

jasmansingh84/PyStatisticalcalci

cc310f53472cb0a314849379c3c472ebd709c4b7

[ "MIT" ]

null

Tests/test_Statistics.py

jasmansingh84/PyStatisticalcalci

cc310f53472cb0a314849379c3c472ebd709c4b7

[ "MIT" ]

null

Tests/test_Statistics.py

jasmansingh84/PyStatisticalcalci

cc310f53472cb0a314849379c3c472ebd709c4b7

[ "MIT" ]

null

import unittest from CsvReader.CsvReader import CsvReader from CsvReader.CsvReader2 import CsvReader2 from Statistics.Statistics import Statistics class MyTestCase(unittest.TestCase): def setUp(self) -> None: self.Statistics = Statistics() def test_instantiate_calculator(self): self.assertIsInstance(self.Statistics, Statistics) def test_mean(self): test_data = CsvReader('Tests/Data/population_list.csv').data result_data = CsvReader('Tests/Data/result_data.csv').data for column in result_data: mean_value = float(column['Mean']) data = [] for row in test_data: result = float(row['List1']) data.append(result) self.Statistics.mean(data) self.assertEqual(round(self.Statistics.result), round(mean_value)) def test_median(self): test_data = CsvReader('Tests/Data/population_list.csv').data result_data = CsvReader('Tests/Data/result_data.csv').data for column in result_data: median_value = float(column['Median']) data = [] for row in test_data: result = float(row['List1']) data.append(result) self.Statistics.median(data) self.assertEqual(round(self.Statistics.result), round(median_value)) def test_mode(self): test_data = CsvReader('Tests/Data/population_list.csv').data result_data = CsvReader('Tests/Data/result_data.csv').data for column in result_data: mode_value = float(column['Mode']) data = [] for row in test_data: result = float(row['List1']) data.append(result) self.Statistics.mode(data) self.assertEqual(round(self.Statistics.result), round(mode_value)) def test_standard_deviation(self): test_data = CsvReader('Tests/Data/population_list.csv').data test_result = CsvReader('Tests/Data/result_data.csv').data for column in test_result: result_test = float(column['Standard Deviation']) list1 = [] for row in test_data: result = float(row['List1']) list1.append(result) self.Statistics.standard_deviation(list1) self.assertEqual(round(self.Statistics.result), round(result_test)) def test_variance(self): test_data = CsvReader('Tests/Data/population_list.csv').data test_result = CsvReader('Tests/Data/result_data.csv').data for column in test_result: result_test = float(column['Variance']) list1 = [] for row in test_data: result = float(row['List1']) list1.append(result) self.Statistics.variance(list1) self.assertEqual(round(self.Statistics.result), round(result_test)) def test_sample_mean(self): test_data = CsvReader('Tests/Data/population_list.csv').data test_result = CsvReader('Tests/Data/result_data.csv').data for column in test_result: result_test = float(column['Sample Mean']) list1 = [] for row in test_data: result = float(row['List1']) list1.append(result) self.assertEqual(round(self.Statistics.sample_mean(list1)), round(result_test)) def test_standardized_score(self): test_data = CsvReader2('Tests/Data/population_list.csv').data test_result = CsvReader2('Tests/Data/result_zscore.csv').data ''' for column in test_result: result_test = float(column['Z_score']) list1 = list() for row in test_data: result = float(row[0]) list1.append(result) ''' self.assertListEqual(self.Statistics.z_score(test_data), test_result) def test_z_score(self): test_data = CsvReader2('Tests/Data/population_list.csv').data test_result = CsvReader2('Tests/Data/result_zscore.csv').data ''' for column in test_result: result_test = float(column['Z_score']) list1 = list() for row in test_data: result = float(row[0]) list1.append(result) ''' self.assertListEqual(self.Statistics.z_score(test_data), test_result) def test_pop_correlation_coefficient(self): test_data = CsvReader2('Tests/Data/population_list.csv').data test_result = CsvReader('Tests/Data/result_data.csv').data for column in test_result: result_test = float(column['Pop_correlation_coefficient']) ''' list1 = [] for row in test_data: result = float(row['List1']) list1.append(result) ''' self.assertEqual(round(self.Statistics.pop_correlation_coefficient(test_data)), round(result_test)) def test_sample_standard_deviation(self): test_data = CsvReader('Tests/Data/population_list.csv').data test_result = CsvReader('Tests/Data/result_data.csv').data for column in test_result: result_test = float(column['Sample_Standard_Deviation']) list1 = [] for row in test_data: result = float(row['List1']) list1.append(result) self.assertEqual(round(self.Statistics.sample_standard_deviation(list1)), round(result_test)) def test_proportion_calculator(self): test_data = CsvReader('Tests/Data/population_list.csv').data test_result = CsvReader('Tests/Data/result_data.csv').data list1 = [] for column in test_result: result_test = float((column['Proportion_result'])) for row in test_data: result = float(row['List1']) list1.append(result) self.assertEqual(round(self.Statistics.proportion(list1)), round(result_test)) def test_sample_variance_calculator(self): test_data = CsvReader('Tests/Data/population_list.csv').data test_result = CsvReader('Tests/Data/result_data.csv').data list1 = [] for column in test_result: result_test = float((column['Variance_Sample_result'])) for row in test_data: result = int(row['List1']) list1.append(result) self.assertEqual(round(self.Statistics.sample_variance(list1)), round(result_test)) def test_Population_Variance_calculator(self): test_data = CsvReader('Tests/Data/population_list.csv').data test_result = CsvReader('Tests/Data/result_data.csv').data list1 = [] for column in test_result: result_test = float((column['Population_Variance'])) for row in test_data: result = int(row['List1']) list1.append(result) self.assertEqual(round(self.Statistics.population_variance(list1)), round(result_test)) def test_confidence_interval(self): test_data = CsvReader('Tests/Data/population_list.csv').data result_cf_interval = CsvReader('Tests/Data/result_data.csv').data for column in result_cf_interval: result_test1 = float(column['Confidence_Interval1']) result_test2 = float(column['Confidence_Interval2']) data = [] for row in test_data: result_data = float(row['List1']) data.append(result_data) x = self.Statistics.confidence_interval(data) try: self.assertAlmostEqual(x[0], result_test1) self.assertAlmostEqual(x[1], result_test2) except AssertionError as e: print("Confidence Interval has Assertion Error:", e) assert 0 def test_p_value(self): test_data = CsvReader2('Tests/Data/population_list.csv').data test_result = CsvReader('Tests/Data/result_data.csv').data result_test = 0 for column in test_result: result_test = float(column['P_Value']) self.assertEqual(round(self.Statistics.p_value(test_data)), round(result_test)) if __name__ == '__main__': unittest.main()

31.839216

107

0.631728

947

8,119

5.210137

0.079197

0.06891

0.087556

0.069923

0.80604

0.7803

0.749899

0.72801

0.698216

0.689704

0

0.009809

0.259145

8,119

254

108

31.964567

0.810474

0

0.564935

0

0.154743

0.12299

0

0.12987

1

0.11039

false

0

0.025974

0

0.142857

0.006494

0

null

0

1

0

1

0

null

0

5

30fa03612f1fa5e01b83bc4eabcad8efd3af22cc

3,800

py

Python

backend/metric/ulca-utility-service/src/repositories/notifierrepo.py

agupta54/ulca

c1f570ac254ce2ac73f40c49716458f4f7cbaee2

[ "MIT" ]

3

2022-01-12T06:51:51.000Z

2022-02-23T18:54:33.000Z

backend/metric/ulca-utility-service/src/repositories/notifierrepo.py

agupta54/ulca

c1f570ac254ce2ac73f40c49716458f4f7cbaee2

[ "MIT" ]

6

2021-08-31T19:21:26.000Z

2022-01-03T05:53:42.000Z

backend/metric/ulca-utility-service/src/repositories/notifierrepo.py

agupta54/ulca

c1f570ac254ce2ac73f40c49716458f4f7cbaee2

[ "MIT" ]

8

2021-08-12T08:07:49.000Z

2022-01-25T04:40:51.000Z

import pymongo import logging import config from logging.config import dictConfig log = logging.getLogger('fie') class NotifierRepo: def __init__(self): pass def count_data_col(self, query,schema,collection): log.info(f"Mongo count calculation : {query},{schema},{collection}") print(query,schema,collection,"****counting**") print(config.data_connection_url) try: log.info(f"Mongo count calculation : {query},{schema},{collection}") client = pymongo.MongoClient(config.data_connection_url) mongo_instance = client[schema][collection] res = mongo_instance.count(query) return res except Exception as e: log.exception(f'Exception in repo search: {e}', e) return [] def aggregate_data_col(self, query,schema,collection): log.info(f"Mongo aggregation : {query},{schema},{collection}") print(query,schema,collection,"***aggregating***") print(config.data_connection_url) try: log.info(f"Mongo count calculation : {query},{schema},{collection}") client = pymongo.MongoClient(config.data_connection_url) mongo_instance = client[schema][collection] res = mongo_instance.aggregate(query) result = [] for record in res: result.append(record) return result except Exception as e: log.exception(f'Exception in repo search: {e}', e) return [] def count_process_col(self, query,schema,collection): log.info(f"Mongo count calculation : {query},{schema},{collection}") print(query,schema,collection,"****counting**") print(config.process_connection_url) try: log.info(f"Mongo count calculation : {query},{schema},{collection}") client = pymongo.MongoClient(config.process_connection_url) mongo_instance = client[schema][collection] res = mongo_instance.count(query) return res except Exception as e: log.exception(f'Exception in repo search: {e}', e) return [] def aggregate_process_col(self, query,schema,collection): log.info(f"Mongo aggregation : {query},{schema},{collection}") print(query,schema,collection,"***aggregating***") print(config.process_connection_url) try: log.info(f"Mongo count calculation : {query},{schema},{collection}") client = pymongo.MongoClient(config.process_connection_url) mongo_instance = client[schema][collection] res = mongo_instance.aggregate(query) result = [] for record in res: result.append(record) return result except Exception as e: log.exception(f'Exception in repo search: {e}', e) return [] # Log config dictConfig({ 'version': 1, 'formatters': {'default': { 'format': '[%(asctime)s] {%(filename)s:%(lineno)d} %(threadName)s %(levelname)s in %(module)s: %(message)s', }}, 'handlers': { 'info': { 'class': 'logging.FileHandler', 'level': 'DEBUG', 'formatter': 'default', 'filename': 'info.log' }, 'console': { 'class': 'logging.StreamHandler', 'level': 'DEBUG', 'formatter': 'default', 'stream': 'ext://sys.stdout', } }, 'loggers': { 'file': { 'level': 'DEBUG', 'handlers': ['info', 'console'], 'propagate': '' } }, 'root': { 'level': 'DEBUG', 'handlers': ['info', 'console'] } })

33.628319

116

0.565

376

3,800

5.614362

0.210106

0.151587

0.159166

0.049266

0.7982

0.770725

0

0.000376

0.300526

3,800

113

117

33.628319

0.79383

0.002632

0

0.618557

0

0.010309

0.257392

0.07339

0

1

0.051546

false

0.010309

0.041237

0

0.185567

0.082474

0

null

0

1

0

null

0

5

eb8088f88d5e27a4d8e7e996d5f43aa382b4301e

30

py

Python

tool/pcdet/version.py

jcuic5/CUDA-PointPillars

3e1959448366c273914ec5024db39ed4e8c8dcdd

[ "Apache-2.0" ]

1

2021-12-29T00:04:53.000Z

tool/pcdet/version.py

jcuic5/CUDA-PointPillars

3e1959448366c273914ec5024db39ed4e8c8dcdd

[ "Apache-2.0" ]

null

tool/pcdet/version.py

jcuic5/CUDA-PointPillars

3e1959448366c273914ec5024db39ed4e8c8dcdd

[ "Apache-2.0" ]

1

2022-03-18T01:12:24.000Z

__version__ = "0.3.0+d563e17"

15

29

0.7

5

30

3.4

0.8

0

0.296296

0.1

30

1

30

0.333333

0

0.433333

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

eba5f32d8456e98d8ab0ed1766680d64917f1dde

233

py

Python

python/testData/refactoring/extractsuperclass/importMultiFile/dest_module.after.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/refactoring/extractsuperclass/importMultiFile/dest_module.after.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/refactoring/extractsuperclass/importMultiFile/dest_module.after.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

import shared_module from shared_module import module_function as my_function, ModuleClass class NewParent(object): def do_useful_stuff(self): i = shared_module.MODULE_CONTANT my_function() ModuleClass()

25.888889

69

0.742489

29

233

5.655172

0.62069

0.219512

0.256098

0

0.201717

233

9

70

25.888889

0.88172

0

1

0.142857

false

0

0.285714

0

0.571429

0

1

0

null

1

0

1

0

null

0

1

0

5

ebb43952950a09f8b9b36788363e817d574fe4e8

92

py

Python

tabtomidi/__init__.py

JoshRosen/tabtomidi

85dc6019c329a9da2783831d9885b3dc04fbae6d

[ "BSD-3-Clause" ]

3

2015-07-16T22:23:25.000Z

2019-06-16T08:51:36.000Z

tabtomidi/__init__.py

JoshRosen/tabtomidi

85dc6019c329a9da2783831d9885b3dc04fbae6d

[ "BSD-3-Clause" ]

null

tabtomidi/__init__.py

JoshRosen/tabtomidi

85dc6019c329a9da2783831d9885b3dc04fbae6d

[ "BSD-3-Clause" ]

null

from tabtomidi.drumtabs import Tab, TabParsingException, \ UnmappableNoteNamesException

30.666667

58

0.836957

7

92

11

1

0

0.119565

92

2

59

46

0.950617

0

1

0

true

0

0.5

0

0.5

0

1

0

1

null

0

1

0

null

0

1

0

1

0

5

ccf891c91fd8d21bf86f1c3da125022f308630b8

977

py

Python

main/coins/models.py

Hawk94/coin_tracker

082909e17308a8dd460225c1b035751d12a27106

[ "MIT" ]

null

main/coins/models.py

Hawk94/coin_tracker

082909e17308a8dd460225c1b035751d12a27106

[ "MIT" ]

null

main/coins/models.py

Hawk94/coin_tracker

082909e17308a8dd460225c1b035751d12a27106

[ "MIT" ]

null

from django.db import models from django.utils import timezone class BaseCoin(models.Model): date = models.DateField(default=timezone.now) exchange = models.CharField(max_length=100, blank=True, default='') price = models.DecimalField(max_digits=12, decimal_places=4, default=0) high = models.DecimalField(max_digits=12, decimal_places=4, default=0) low = models.DecimalField(max_digits=12, decimal_places=4, default=0) close = models.DecimalField(max_digits=12, decimal_places=4, default=0) volume = models.DecimalField(max_digits=12, decimal_places=4, default=0) class Meta: abstract = True ordering = ('date',) class BTC(BaseCoin): market_cap = models.DecimalField(max_digits=18, decimal_places=8, default=0) class ETH(BaseCoin): market_cap = models.DecimalField(max_digits=18, decimal_places=8, default=0) class LTC(BaseCoin): market_cap = models.DecimalField(max_digits=18, decimal_places=8, default=0)

33.689655

80

0.741044

135

977

5.214815

0.318519

0.204545

0.238636

0.306818

0.666193

0

0.041866

0.144319

977

28

81

34.892857

0.800239

0

0.157895

0

0.004094

0

1

0

false

0

0.105263

0

0.894737

0

null

1

0

1

0

null

0

1

0

5

ccfed4d72b822319d6dc74aedff4e55738604b56

160

py

Python

src/fchecker/exceptions/__init__.py

IncognitoCoding/fchecker

bbc70685174c70b6c396e1c93864028bffd3e22e

[ "MIT" ]

null

src/fchecker/exceptions/__init__.py

IncognitoCoding/fchecker

bbc70685174c70b6c396e1c93864028bffd3e22e

[ "MIT" ]

null

src/fchecker/exceptions/__init__.py

IncognitoCoding/fchecker

bbc70685174c70b6c396e1c93864028bffd3e22e

[ "MIT" ]

null

# Exceptions from .exceptions import InputFailure, InvalidKeyError from fexception import FFileNotFoundError from fexception import FAttributeError, FTypeError

32

53

0.875

15

160

9.333333

0.6

0.2

0.285714

0

0.1

160

4

54

40

0.972222

0.0625

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

6914f2ead34468c6791c49ca96f80c4611d95f83

1,003

py

Python

{{cookiecutter.project_slug}}/app/{{cookiecutter.app_slug_snakecase}}/tests/test_{{cookiecutter.app_slug_snakecase}}_services.py

jonatasoli/fastapi-template-cookiecutter

4a982e9a46dc6b7d1dafda8ca170429ea32b1bf4

[ "MIT" ]

7

2021-03-12T18:17:42.000Z

2021-09-14T02:13:32.000Z

{{cookiecutter.project_slug}}/app/{{cookiecutter.app_slug_snakecase}}/tests/test_{{cookiecutter.app_slug_snakecase}}_services.py

jonatasoli/fastapi-template-cookiecutter

4a982e9a46dc6b7d1dafda8ca170429ea32b1bf4

[ "MIT" ]

null

{{cookiecutter.project_slug}}/app/{{cookiecutter.app_slug_snakecase}}/tests/test_{{cookiecutter.app_slug_snakecase}}_services.py

jonatasoli/fastapi-template-cookiecutter

4a982e9a46dc6b7d1dafda8ca170429ea32b1bf4

[ "MIT" ]

3

2021-02-12T15:07:48.000Z

2021-09-14T02:13:34.000Z

import pytest from unittest import mock from {{cookiecutter.app_slug_snakecase}}.services.services_{{cookiecutter.app_slug_snakecase}} import add_{{cookiecutter.model_slug_snakecase}} from {{cookiecutter.app_slug_snakecase}}.schemas.schemas_{{cookiecutter.app_slug_snakecase}} import {{cookiecutter.model_name}}CreateResponse, {{cookiecutter.model_name}}Endpoint, {{cookiecutter.model_name}}Create response_obj = {{cookiecutter.model_name}}CreateResponse(id=1, name="{{cookiecutter.model_name}} 1", completed=False) @pytest.mark.asyncio @mock.patch("{{cookiecutter.app_slug_snakecase}}.dao.{{cookiecutter.model_slug_snakecase}}.create", return_value=response_obj) async def test_add_{{cookiecutter.model_slug_snakecase}}(mocker): data = {{cookiecutter.model_name}}Endpoint(name="{{cookiecutter.model_name}} 1", completed=False, current_user_id=1) response = await add_{{cookiecutter.model_slug_snakecase}}({{cookiecutter.model_slug_snakecase}}_data=data) assert response == response_obj

62.6875

213

0.808574

123

1,003

6.268293

0.308943

0.264591

0.190661

0.181582

0.403372

0.103761

0

0.004233

0.057827

1,003

15

214

66.866667

0.81164

0

0.141575

0.137587

0

0.090909

0

null

0

0.363636

null

0

null

1

0

null

0

1

0

1

0

5

69214dcb7f5e820da97009b3641eb48250fa4e77

3,652

py

Python

ERAI/pickle_stream_dict.py

coecms/CollectionsScripts

7c60edf0f91ddd3b045afa121bc5e3a7877297e6

[ "Apache-2.0" ]

5

2019-01-02T19:19:37.000Z

2022-02-17T01:57:32.000Z

ERAI/pickle_stream_dict.py

coecms/CollectionsScripts

7c60edf0f91ddd3b045afa121bc5e3a7877297e6

[ "Apache-2.0" ]

null

ERAI/pickle_stream_dict.py

coecms/CollectionsScripts

7c60edf0f91ddd3b045afa121bc5e3a7877297e6

[ "Apache-2.0" ]

2

2017-05-20T09:48:06.000Z

2018-12-04T13:57:57.000Z

# This script produced a python dictionary stream_dict that assign ifor each ERA Interim stream # the time, step, parameters and levels lists to pass as arguments to MARS requests. The dictionary is stored # in a pickle file ecmwf_stream_pickle used by the ERAI python download script: erai_download.py # author: Paola Petrelli for ARC Centre of Excellence for Climate System Science # paolap@utas.edu.au # 03rd November 2016 from __future__ import print_function import pickle # create empty dictionary stream_dict={} # create dictionary containing time,step, params and levels keys for each stream ml_dict={'time': "00/06/12/18", 'step': "0", 'params': "130.128/131.128/132.128/133.128/135.128/138.128/155.128/203.128/246.128/247.128/248.128", 'levels': "1/2/3/4/5/6/7/8/9/10/11/12/13/14/15/16/17/18/19/20/21/22/23/24/25/26/27/28/29/30/31/32/33/34/35/36/37/38/39/40/41/42/43/44/45/46/47/48/49/50/51/52/53/54/55/56/57/58/59/60"} mlsfc_dict={'time': "00/06/12/18", 'step': "0", 'params': "129.128/152.128", 'levels': "1"} pl_dict={'time': "00/06/12/18", 'step': "0", 'params': "60.128/129.128/130.128/131.128/132.128/133.128/135.128/138.128/155.128/157.128/203.128/246.128/247.128/248.128", 'levels': "1/2/3/5/7/10/20/30/50/70/100/125/150/175/200/225/250/300/350/400/450/500/550/600/650/700/750/775/800/825/850/875/900/925/950/975/1000"} pt_dict={'time': "00/06/12/18", 'step': "0", 'params': "53.128/54.128/60.128/131.128/132.128/133.128/138.128/155.128/203.128", 'levels': "265/275/285/300/315/330/350/370/395/430/475/530/600/700/850"} pv_dict={'time': "00/06/12/18", 'step': "0", 'params': "3.128/54.128/129.128/131.128/132.128/133.128/203.128", 'levels': "2000"} sfc_dict={'time': "00/06/12/18", 'step': "0", 'params': "134.128/136.128/137.128/139.128/141.128/148.128/151.128/164.128/165.128/166.128/167.128/168.128/170.128/173.128/174.128/183.128/186.128/187.128/188.128/198.128/206.128/234.128/235.128/236.128/238.128/31.128/32.128/33.128/34.128/35.128/36.128/37.128/38.128/39.128/40.128/41.128/42.128/53.162/54.162/55.162/56.162/57.162/58.162/59.162/60.162/61.162/62.162/63.162/64.162/65.162/66.162/67.162/68.162/69.162/70.162/71.162/72.162/73.162/74.162/75.162/76.162/77.162/78.162/79.162/80.162/81.162/82.162/83.162/84.162/85.162/86.162/87.162/88.162/89.162/90.162/91.162/92.162", 'area' : "90/-180/-90/179.25", 'levels': "sfc"} fc_dict={'time': "00/12", 'step': "3/6/9/12", 'params': "20.128/31.128/32.128/33.128/34.128/35.128/36.128/37.128/38.128/39.128/40.128/41.128/42.128/44.128/45.128/49.128/50.128/57.128/58.128/59.128/78.128/79.128/134.128/136.128/137.128/139.128/141.128/142.128/143.128/144.128/145.128/146.128/147.128/148.128/151.128/159.128/164.128/165.128/166.128/167.128/168.128/169.128/170.128/175.128/176.128/177.128/178.128/179.128/180.128/181.128/182.128/183.128/186.128/187.128/188.128/189.128/195.128/196.128/197.128/198.128/201.128/202.128/205.128/206.128/208.128/209.128/210.128/211.128/212.128/228.128/229.128/230.128/231.128/232.128/235.128/236.128/238.128/239.128/240.128/243.128/244.128/245.128", 'levels': "sfc"} # fill dictionary with single stream dictionaries stream_dict={'oper_an_ml' : ml_dict, 'oper_an_ml_sfc' : mlsfc_dict, 'oper_an_pl' : pl_dict, 'oper_an_sfc': sfc_dict, 'oper_fc_sfc': fc_dict, 'oper_an_pt' : pt_dict, 'oper_an_pv' : pv_dict} print(stream_dict) pickle.dump( stream_dict, open( "ecmwf_stream_pickle", "wb" ) )

68.90566

655

0.6569

753

3,652

3.12749

0.390438

0.023779

0.029724

0.030573

0.315924

0.305732

0.263694

0.171975

0

0.461249

0.127327

3,652

52

656

70.230769

0.277691

0.154436

0

0.195122

0

0.219512

0.729607

0.60936

0

1

0

false

0

0.04878

0

0.04878

0

null

0

1

0

1

0

1

null

0

5

69659235f8fd33ab16004aca6930bb2cd6d11984

246

py

Python

synology_api/__init__.py

migelbd/synology-api

8492a52fef41aab3b508a779462646fab3685ad0

[ "MIT" ]

null

synology_api/__init__.py

migelbd/synology-api

8492a52fef41aab3b508a779462646fab3685ad0

[ "MIT" ]

null

synology_api/__init__.py

migelbd/synology-api

8492a52fef41aab3b508a779462646fab3685ad0

[ "MIT" ]

null

from . import exceptions from .downloadstation import DownloadStation from .filestation import FileStation from .audiostation import AudioStation from .sys_info import SysInfo from .virtualization import Virtualization from .backup import Backup

30.75

44

0.857724

28

246

7.5

0.392857

0

0.113821

246

7

45

35.142857

0.963303

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

15d516effb6e29c1d39d2ea74f2f475a8238e3d4

42

py

Python

python/finess/__init__.py

dcseal/finess

766e583ae9e84480640c7c3b3c157bf40ab87fe4

[ "BSD-3-Clause" ]

null

python/finess/__init__.py

dcseal/finess

766e583ae9e84480640c7c3b3c157bf40ab87fe4

[ "BSD-3-Clause" ]

null

python/finess/__init__.py

dcseal/finess

766e583ae9e84480640c7c3b3c157bf40ab87fe4

[ "BSD-3-Clause" ]

null

"""Python library written for FINESS. """

14

37

0.690476

5

42

5.8

1

0

0.142857

42

2

38

21

0.805556

0.809524

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

5

15d86135ab3086b32c870017d6b76bf47205ec4a

84

py

Python

icevision/models/torchvision_models/mask_rcnn/lightning/__init__.py

RibenaMapleSyrup/icevision

6cbd6d103cb3f76bc21ae7651e9d958efe8c3a64

[ "Apache-2.0" ]

88

2020-05-02T12:28:02.000Z

2021-09-30T07:17:03.000Z

icevision/models/torchvision_models/mask_rcnn/lightning/__init__.py

RibenaMapleSyrup/icevision

6cbd6d103cb3f76bc21ae7651e9d958efe8c3a64

[ "Apache-2.0" ]

248

2020-05-01T18:46:31.000Z

2020-07-31T20:55:01.000Z

icevision/models/torchvision_models/mask_rcnn/lightning/__init__.py

RibenaMapleSyrup/icevision

6cbd6d103cb3f76bc21ae7651e9d958efe8c3a64

[ "Apache-2.0" ]

15

2020-06-07T15:59:56.000Z

2021-02-27T09:46:39.000Z

from icevision.models.torchvision_models.mask_rcnn.lightning.model_adapter import *

42

83

0.880952

11

84

6.454545

0.909091

0

0.047619

84

1

84

0.8875

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

15e8390fe55e1dca11f9815f8b5a2a58fdc83bdc

42

py

Python

ti_nbody/__init__.py

xuyanwen2012/ti_nbody

f49814b51938d262db4c6b831e5df63e4bf635fa

[ "MIT" ]

null

ti_nbody/__init__.py

xuyanwen2012/ti_nbody

f49814b51938d262db4c6b831e5df63e4bf635fa

[ "MIT" ]

null

ti_nbody/__init__.py

xuyanwen2012/ti_nbody

f49814b51938d262db4c6b831e5df63e4bf635fa

[ "MIT" ]

null

from .n_body import * from .util import *

14

21

0.714286

7

42

4.142857

0.714286

0

0.190476

42

2

22

21

0.852941

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

15e99a37d28d45c6fa5fe4dcaf8360e68af0f497

149

py

Python

reviewboard/oauth/apps.py

pombredanne/reviewboard

15f1d7236ec7a5cb4778ebfeb8b45d13a46ac71d

[ "MIT" ]

null

reviewboard/oauth/apps.py

pombredanne/reviewboard

15f1d7236ec7a5cb4778ebfeb8b45d13a46ac71d

[ "MIT" ]

null

reviewboard/oauth/apps.py

pombredanne/reviewboard

15f1d7236ec7a5cb4778ebfeb8b45d13a46ac71d

[ "MIT" ]

null

"""The app definition for reviewboard.oauth.""" from django.apps import AppConfig class OAuthAppConfig(AppConfig): name = 'reviewboard.oauth'

18.625

47

0.751678

17

149

6.588235

0.823529

0.285714

0

0.14094

149

7

48

21.285714

0.875

0.275168

0

0.166667

0

1

0

false

0

0.333333

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5