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2617cb2e73b14895dfae1fd3fe2018b9394d74fd | 825 | py | Python | monapay/management/commands/initaccounts.py | monapayjp/monapay | c896b104b5bea328d119f009710589ffd174386a | [
"BSD-3-Clause"
] | 4 | 2015-02-12T18:54:44.000Z | 2021-04-15T05:21:06.000Z | monapay/management/commands/initaccounts.py | monapayjp/monapay | c896b104b5bea328d119f009710589ffd174386a | [
"BSD-3-Clause"
] | 1 | 2018-02-03T17:35:36.000Z | 2018-02-03T17:35:36.000Z | monapay/management/commands/initaccounts.py | monapayjp/monapay | c896b104b5bea328d119f009710589ffd174386a | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from django.conf import settings
from django.core.management.base import BaseCommand, CommandError
from monapay.rpc import make_rpc_connection
| 35.869565 | 72 | 0.646061 | # -*- coding: utf-8 -*-
from django.conf import settings
from django.core.management.base import BaseCommand, CommandError
from monapay.rpc import make_rpc_connection
class Command(BaseCommand):
def __init__(self, *args, **kwargs):
super(Command, self).__init__(*args, **kwargs)
def handle(self, *args... | 575 | 6 | 76 |
de7dbbbaf0bfc916c7c7f590fcfc3589933d6da2 | 163 | py | Python | data/typing/pandas.api.types.py | vfdev-5/python-record-api | 006faf0bba9cd4cb55fbacc13d2bbda365f5bf0b | [
"MIT"
] | 67 | 2020-08-17T11:53:26.000Z | 2021-11-08T20:16:06.000Z | data/typing/pandas.api.types.py | vfdev-5/python-record-api | 006faf0bba9cd4cb55fbacc13d2bbda365f5bf0b | [
"MIT"
] | 36 | 2020-08-17T11:09:51.000Z | 2021-12-15T18:09:47.000Z | data/typing/pandas.api.types.py | pydata-apis/python-api-record | 684cffbbb6dc6e81f9de4e02619c8b0ebc557b2b | [
"MIT"
] | 7 | 2020-08-19T05:06:47.000Z | 2020-11-04T05:10:38.000Z | from typing import *
# usage.dask: 8
# usage.sklearn: 9
CategoricalDtype: object
# usage.dask: 2
is_categorical_dtype: object
# usage.dask: 3
is_sparse: object
| 13.583333 | 28 | 0.748466 | from typing import *
# usage.dask: 8
# usage.sklearn: 9
CategoricalDtype: object
# usage.dask: 2
is_categorical_dtype: object
# usage.dask: 3
is_sparse: object
| 0 | 0 | 0 |
ac8e698132504eb73e69452ac813966d0ee22822 | 8,425 | py | Python | architect/orms/decorators.py | portcast/architect | 0cc6374d718855837ab3073b708c9765feb046cb | [
"Apache-2.0"
] | null | null | null | architect/orms/decorators.py | portcast/architect | 0cc6374d718855837ab3073b708c9765feb046cb | [
"Apache-2.0"
] | null | null | null | architect/orms/decorators.py | portcast/architect | 0cc6374d718855837ab3073b708c9765feb046cb | [
"Apache-2.0"
] | null | null | null | """
Defines decorators that Architect provides.
"""
import inspect
import functools
from .bases import BaseFeature
from .registry import registry, Registrar
from ..exceptions import (
ORMError,
FeatureInstallError,
FeatureUninstallError,
MethodAutoDecorateError
)
from copy import deepcopy
class ins... | 41.502463 | 118 | 0.622077 | """
Defines decorators that Architect provides.
"""
import inspect
import functools
from .bases import BaseFeature
from .registry import registry, Registrar
from ..exceptions import (
ORMError,
FeatureInstallError,
FeatureUninstallError,
MethodAutoDecorateError
)
from copy import deepcopy
def set_li... | 1,483 | 3 | 122 |
9c1d726650bd473804e5a039a8c9a56480255dc6 | 1,144 | py | Python | Machine-Learning-A-Z-Udemy-master/Machine Learning A-Z Template Folder/Part 1 - Data Preprocessing/Mpython_working.py | CT83/Independent-Coursework | 5c7f93a7e05e64b13cb821f603efc54c92ad96c6 | [
"Apache-2.0"
] | null | null | null | Machine-Learning-A-Z-Udemy-master/Machine Learning A-Z Template Folder/Part 1 - Data Preprocessing/Mpython_working.py | CT83/Independent-Coursework | 5c7f93a7e05e64b13cb821f603efc54c92ad96c6 | [
"Apache-2.0"
] | null | null | null | Machine-Learning-A-Z-Udemy-master/Machine Learning A-Z Template Folder/Part 1 - Data Preprocessing/Mpython_working.py | CT83/Independent-Coursework | 5c7f93a7e05e64b13cb821f603efc54c92ad96c6 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Importing the Libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# Importing the Data
dataset=pd.read_csv('Data.csv')
X = dataset.iloc[:,:-1].values
y = dataset.iloc[:,3].values
# Taking care of missing Data
from sklearn.preprocessing import Imputer
imputer = I... | 30.918919 | 92 | 0.768357 | # -*- coding: utf-8 -*-
# Importing the Libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# Importing the Data
dataset=pd.read_csv('Data.csv')
X = dataset.iloc[:,:-1].values
y = dataset.iloc[:,3].values
# Taking care of missing Data
from sklearn.preprocessing import Imputer
imputer = I... | 0 | 0 | 0 |
18411d6cbef85b0fa08f04f819e453cb8daf0028 | 13,542 | py | Python | tzdealer/tzdealer/report/customer_age/customer_age.py | Lewinta/tzdealer | 3e6a8f39e16029b217ae84bed806cb79bbc89dbf | [
"MIT"
] | null | null | null | tzdealer/tzdealer/report/customer_age/customer_age.py | Lewinta/tzdealer | 3e6a8f39e16029b217ae84bed806cb79bbc89dbf | [
"MIT"
] | null | null | null | tzdealer/tzdealer/report/customer_age/customer_age.py | Lewinta/tzdealer | 3e6a8f39e16029b217ae84bed806cb79bbc89dbf | [
"MIT"
] | null | null | null | # Copyright (c) 2013, TZCODE SRL and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe import _
from frappe.utils import cstr, flt, date_diff, nowdate
def get_data(filters):
"""
Return the data that needs to be rendered
"""
fields = ge... | 30.431461 | 172 | 0.628563 | # Copyright (c) 2013, TZCODE SRL and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe import _
from frappe.utils import cstr, flt, date_diff, nowdate
def execute(filters=None):
return get_columns(filters), get_data(filters)
def get_colu... | 2,287 | 0 | 92 |
6469e5d0d5c80ef3183e5f71c4afdb4b3f3f36a4 | 934 | py | Python | setup.py | bertsky/ocrd_vandalize | 0cb84fb387d0145d386c2a425f20beee5d355b3d | [
"Apache-2.0"
] | 8 | 2021-12-15T14:45:11.000Z | 2022-02-09T16:51:20.000Z | setup.py | bertsky/ocrd_vandalize | 0cb84fb387d0145d386c2a425f20beee5d355b3d | [
"Apache-2.0"
] | 1 | 2022-01-14T10:58:27.000Z | 2022-01-14T10:58:27.000Z | setup.py | bertsky/ocrd_vandalize | 0cb84fb387d0145d386c2a425f20beee5d355b3d | [
"Apache-2.0"
] | 2 | 2022-01-14T11:06:54.000Z | 2022-01-21T14:54:10.000Z | # -*- coding: utf-8 -*-
import codecs
import json
from setuptools import setup, find_packages
#
with codecs.open('README.md', encoding='utf-8') as f:
README = f.read()
with open('./ocrd-tool.json', 'r') as f:
version = json.load(f)['version']
setup(
name='ocrd_vandalize',
version=version,
descri... | 26.685714 | 68 | 0.638116 | # -*- coding: utf-8 -*-
import codecs
import json
from setuptools import setup, find_packages
#
with codecs.open('README.md', encoding='utf-8') as f:
README = f.read()
with open('./ocrd-tool.json', 'r') as f:
version = json.load(f)['version']
setup(
name='ocrd_vandalize',
version=version,
descri... | 0 | 0 | 0 |
77f7cfaaa0a25a3602dcfef15eb55e962868b137 | 142 | py | Python | exercise/test4.py | LeeBeral/python | 9f0d360d69ee5245e3ef13a9dc9fc666374587a4 | [
"MIT"
] | null | null | null | exercise/test4.py | LeeBeral/python | 9f0d360d69ee5245e3ef13a9dc9fc666374587a4 | [
"MIT"
] | null | null | null | exercise/test4.py | LeeBeral/python | 9f0d360d69ee5245e3ef13a9dc9fc666374587a4 | [
"MIT"
] | null | null | null | dic = {'name':'lili','age':12}
print(dic)
del dic['name']
print(dic)
dic2 ={'name':'mam'}
print(dic2)
dic.update(dic2)
print(dic) | 12.909091 | 31 | 0.584507 | dic = {'name':'lili','age':12}
print(dic)
del dic['name']
print(dic)
dic2 ={'name':'mam'}
print(dic2)
dic.update(dic2)
print(dic) | 0 | 0 | 0 |
084a7a4364ba109593d9c831baac3d5b551aa8da | 3,182 | py | Python | hacktheback/rest/forms/serializers/form.py | hackthevalley/hack-the-back | a418f2d2751656fed76d0b8c95c8e2a060525e78 | [
"MIT"
] | null | null | null | hacktheback/rest/forms/serializers/form.py | hackthevalley/hack-the-back | a418f2d2751656fed76d0b8c95c8e2a060525e78 | [
"MIT"
] | null | null | null | hacktheback/rest/forms/serializers/form.py | hackthevalley/hack-the-back | a418f2d2751656fed76d0b8c95c8e2a060525e78 | [
"MIT"
] | null | null | null | from django.db import transaction
from rest_framework import serializers
from hacktheback.forms.models import Form, Question, QuestionOption
| 29.738318 | 79 | 0.562539 | from django.db import transaction
from rest_framework import serializers
from hacktheback.forms.models import Form, Question, QuestionOption
class QuestionOptionSerializer(serializers.ModelSerializer):
class Meta:
model = QuestionOption
exclude = ("question",)
def create(self, validated_data... | 0 | 2,968 | 69 |
e49d30b97a80af7ec73993c80fa023f88465b849 | 298 | py | Python | data/kids/nofz/delta_z_correlated_to_uncorrelated.py | KiDS-WL/Cat_to_Obs_K1000_P1 | 0de7f79cab150416859ffe58ac2d0f5659aedb5d | [
"MIT"
] | 7 | 2020-11-18T12:58:03.000Z | 2021-07-01T08:54:29.000Z | data/kids/nofz/delta_z_correlated_to_uncorrelated.py | KiDS-WL/Cat_to_Obs_K1000_P1 | 0de7f79cab150416859ffe58ac2d0f5659aedb5d | [
"MIT"
] | null | null | null | data/kids/nofz/delta_z_correlated_to_uncorrelated.py | KiDS-WL/Cat_to_Obs_K1000_P1 | 0de7f79cab150416859ffe58ac2d0f5659aedb5d | [
"MIT"
] | 3 | 2020-12-09T13:30:22.000Z | 2022-03-02T01:40:13.000Z | import numpy as np
filename='deltaz.asc'
file=open(filename)
delta_z=np.loadtxt(file,comments='#')
filename='SOM_cov_multiplied.asc'
file=open(filename)
cov_z=np.loadtxt(file,comments='#')
L = np.linalg.cholesky(cov_z)
inv_L = np.linalg.inv(L)
delta_x = np.dot(inv_L,delta_z)
print(delta_x) | 16.555556 | 37 | 0.744966 | import numpy as np
filename='deltaz.asc'
file=open(filename)
delta_z=np.loadtxt(file,comments='#')
filename='SOM_cov_multiplied.asc'
file=open(filename)
cov_z=np.loadtxt(file,comments='#')
L = np.linalg.cholesky(cov_z)
inv_L = np.linalg.inv(L)
delta_x = np.dot(inv_L,delta_z)
print(delta_x) | 0 | 0 | 0 |
69d6b18ed07e94f12372de95034df57e7fe40895 | 12,986 | py | Python | Main/fase_1.py | DouglasAndC/GAME-COLORANDO-PYGAME | b96cc8df2dcfeb5e8a2ed0abb72c7dfb5bde2a00 | [
"MIT"
] | null | null | null | Main/fase_1.py | DouglasAndC/GAME-COLORANDO-PYGAME | b96cc8df2dcfeb5e8a2ed0abb72c7dfb5bde2a00 | [
"MIT"
] | null | null | null | Main/fase_1.py | DouglasAndC/GAME-COLORANDO-PYGAME | b96cc8df2dcfeb5e8a2ed0abb72c7dfb5bde2a00 | [
"MIT"
] | null | null | null | import pygame
from pygame.locals import *
from pygame import *
import globals
import pygame as pg
from pygame.mixer import Sound
import time
pg.init()
# definindo cores
BLACK = (0, 0, 0)
WHITE = (255, 255, 255)
BLUE = (0, 0, 255)
GREEN = (0, 255, 0)
RED = (255, 0, 0)
ROXO = (127,0,127)
LARANJA = (255, 127, 0)
AMARELO... | 38.306785 | 110 | 0.495303 | import pygame
from pygame.locals import *
from pygame import *
import globals
import pygame as pg
from pygame.mixer import Sound
import time
pg.init()
# definindo cores
BLACK = (0, 0, 0)
WHITE = (255, 255, 255)
BLUE = (0, 0, 255)
GREEN = (0, 255, 0)
RED = (255, 0, 0)
ROXO = (127,0,127)
LARANJA = (255, 127, 0)
AMARELO... | 10,312 | 0 | 365 |
146fddc89ca4117d40b10362d56eec7e35ad4254 | 2,442 | py | Python | rescale_baseline_density.py | sjforeman/RadioFisher | fe25f969de9a700c5697168ba9e0d2645c55ed81 | [
"AFL-3.0"
] | 3 | 2020-12-05T11:28:47.000Z | 2021-07-09T02:42:21.000Z | rescale_baseline_density.py | sjforeman/RadioFisher | fe25f969de9a700c5697168ba9e0d2645c55ed81 | [
"AFL-3.0"
] | null | null | null | rescale_baseline_density.py | sjforeman/RadioFisher | fe25f969de9a700c5697168ba9e0d2645c55ed81 | [
"AFL-3.0"
] | 2 | 2021-07-09T02:42:23.000Z | 2021-11-30T06:37:47.000Z | #!/usr/bin/python
"""
Rescale baseline density files, Nring(u), into n(x) = n(u=d/lambda) / lambda^2,
which is approx. const. with frequency (and x = u / nu).
Phil Bull (2014)
"""
import numpy as np
import pylab as P
import scipy.integrate
import os, sys
try:
Ndish = int(sys.argv[1])
infile = sys.argv[2]
... | 30.148148 | 83 | 0.581081 | #!/usr/bin/python
"""
Rescale baseline density files, Nring(u), into n(x) = n(u=d/lambda) / lambda^2,
which is approx. const. with frequency (and x = u / nu).
Phil Bull (2014)
"""
import numpy as np
import pylab as P
import scipy.integrate
import os, sys
try:
Ndish = int(sys.argv[1])
infile = sys.argv[2]
... | 0 | 0 | 0 |
8adf03f135b35749475e53a47a588a4b9f8f0a62 | 1,275 | py | Python | lesson26.py | pingstech/Opencv_Examples2 | 05327af3dbf40e2b8e9f651c8154f45e018518e4 | [
"MIT"
] | 1 | 2021-09-05T13:14:19.000Z | 2021-09-05T13:14:19.000Z | lesson26.py | pingstech/Opencv_Examples2 | 05327af3dbf40e2b8e9f651c8154f45e018518e4 | [
"MIT"
] | null | null | null | lesson26.py | pingstech/Opencv_Examples2 | 05327af3dbf40e2b8e9f651c8154f45e018518e4 | [
"MIT"
] | null | null | null | import cv2
cap=cv2.VideoCapture(0)
ret,frame1=cap.read()
ret,frame2=cap.read()
print(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
print(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
while (cap.isOpened()):
diff=cv2.absdiff(frame1,frame2)
diff=doContour(setFrame(diff),frame1)
cv2.imshow('Detection',frame1)
frame1=frame2
... | 30.357143 | 80 | 0.682353 | import cv2
def setFrame(frame):
grayFrame=cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
blurFrame=cv2.GaussianBlur(grayFrame,(5,5),0)
_,threshFrame=cv2.threshold(blurFrame,20,255,cv2.THRESH_BINARY)
dilatedFrame=cv2.dilate(threshFrame,None,iterations=3)
return dilatedFrame
def doContour(frame,orgFrame,are... | 785 | 0 | 46 |
6a9b4be7df6137a1ebf46f6a4b6479a4ae5b8614 | 3,444 | py | Python | api/g6trayreturn.py | smu-iot20-g7/beocrescent-dashboard | 93776c7cba76e5c57fc2eed8c35584e7541557fe | [
"MIT"
] | null | null | null | api/g6trayreturn.py | smu-iot20-g7/beocrescent-dashboard | 93776c7cba76e5c57fc2eed8c35584e7541557fe | [
"MIT"
] | null | null | null | api/g6trayreturn.py | smu-iot20-g7/beocrescent-dashboard | 93776c7cba76e5c57fc2eed8c35584e7541557fe | [
"MIT"
] | 1 | 2020-12-05T06:48:25.000Z | 2020-12-05T06:48:25.000Z | from flask import Flask, jsonify, request
import pymongo
from flask_cors import CORS
from os import environ
from bson.json_util import dumps
import json
app = Flask(__name__)
client = pymongo.MongoClient(
"mongodb+srv://iotadmin:iotadminpassword@cluster0.cowqf.mongodb.net/iotTest?retryWrites=true&w=majority&ssl=t... | 33.764706 | 142 | 0.574042 | from flask import Flask, jsonify, request
import pymongo
from flask_cors import CORS
from os import environ
from bson.json_util import dumps
import json
app = Flask(__name__)
client = pymongo.MongoClient(
"mongodb+srv://iotadmin:iotadminpassword@cluster0.cowqf.mongodb.net/iotTest?retryWrites=true&w=majority&ssl=t... | 2,578 | 0 | 66 |
374f44188164e9d4772b1935cff59220da10b3cd | 4,782 | py | Python | calc.py | bryli/AKParser | ebecc471458b54a272134dc0f9b35f5da35a6257 | [
"MIT"
] | 1 | 2020-03-01T15:14:18.000Z | 2020-03-01T15:14:18.000Z | calc.py | bryli/AKParser | ebecc471458b54a272134dc0f9b35f5da35a6257 | [
"MIT"
] | null | null | null | calc.py | bryli/AKParser | ebecc471458b54a272134dc0f9b35f5da35a6257 | [
"MIT"
] | null | null | null | import json
from collections import Counter
ALLSKL = 'allSkillLvlup' # Key for character dictionary to get 2-7 level up mats
LVCOST = 'lvlUpCost'
MCOSTC = 'levelUpCostCond' # Key for mastery level cost upgrades.
MCOST = 'levelUpCost'
SKILLS = 'skills'
ELITE = 'phases'
PROMOTE = 'evolveCost'
RARE = 'rarity'
ID = 'id'
C... | 37.069767 | 114 | 0.604559 | import json
from collections import Counter
ALLSKL = 'allSkillLvlup' # Key for character dictionary to get 2-7 level up mats
LVCOST = 'lvlUpCost'
MCOSTC = 'levelUpCostCond' # Key for mastery level cost upgrades.
MCOST = 'levelUpCost'
SKILLS = 'skills'
ELITE = 'phases'
PROMOTE = 'evolveCost'
RARE = 'rarity'
ID = 'id'
C... | 4,108 | 0 | 138 |
dcb02e7452a985e2c94a463cfd5bbd8aea8b03f9 | 583 | py | Python | backend/__init__.py | allenai/twentyquestions | 48f0de26d2dca963cdae1263245d3b267ae7a771 | [
"Apache-2.0"
] | 9 | 2020-07-23T03:36:26.000Z | 2022-03-03T15:20:36.000Z | backend/__init__.py | allenai/twentyquestions | 48f0de26d2dca963cdae1263245d3b267ae7a771 | [
"Apache-2.0"
] | null | null | null | backend/__init__.py | allenai/twentyquestions | 48f0de26d2dca963cdae1263245d3b267ae7a771 | [
"Apache-2.0"
] | 2 | 2021-12-21T18:36:43.000Z | 2022-03-30T07:28:52.000Z | """A backend for playing twenty questions."""
import logging
import flask
from backend.views import (
twentyquestions,
socketio)
logger = logging.getLogger(__name__)
app = flask.Flask(__name__)
@app.route('/')
def root():
"""A root page for twentyquestions."""
return (
'This server is u... | 16.657143 | 67 | 0.682676 | """A backend for playing twenty questions."""
import logging
import flask
from backend.views import (
twentyquestions,
socketio)
logger = logging.getLogger(__name__)
app = flask.Flask(__name__)
@app.route('/')
def root():
"""A root page for twentyquestions."""
return (
'This server is u... | 0 | 0 | 0 |
6f2ae1ff62c113ac8412a10c9d0e89f76b2b9b99 | 1,665 | py | Python | telegram_handler.py | anant-j/API-Toolkit | ced92c711fcb93f96b81a87e57bb4e5dd647224c | [
"CC0-1.0"
] | 1 | 2019-12-27T17:05:52.000Z | 2019-12-27T17:05:52.000Z | telegram_handler.py | anant-j/API-Toolkit | ced92c711fcb93f96b81a87e57bb4e5dd647224c | [
"CC0-1.0"
] | 2 | 2021-02-09T03:25:59.000Z | 2021-06-02T00:51:13.000Z | telegram_handler.py | anant-j/API-Toolkit | ced92c711fcb93f96b81a87e57bb4e5dd647224c | [
"CC0-1.0"
] | null | null | null | import json
import requests
import os
my_directory = os.path.dirname(os.path.abspath(__file__))
with open(f'{my_directory}/secrets/keys.json') as f:
api_keys = json.load(f)
TGKEY = api_keys["Telegram"]["Key"]
DEVID = api_keys["Telegram"]["DeviceID"]
def send_analytics(req, fingerprint):
"""Sends analytics da... | 36.195652 | 268 | 0.681081 | import json
import requests
import os
my_directory = os.path.dirname(os.path.abspath(__file__))
with open(f'{my_directory}/secrets/keys.json') as f:
api_keys = json.load(f)
TGKEY = api_keys["Telegram"]["Key"]
DEVID = api_keys["Telegram"]["DeviceID"]
def send_analytics(req, fingerprint):
"""Sends analytics da... | 109 | 0 | 23 |
c46beeec7b11c4abe6e2db62dfaeed8601291fe1 | 73,322 | py | Python | topobank/manager/views.py | ComputationalMechanics/TopoBank | 3e598d4b98cbffa43764e335f026efcbe7580c8a | [
"MIT"
] | 1 | 2020-06-04T23:18:53.000Z | 2020-06-04T23:18:53.000Z | topobank/manager/views.py | ComputationalMechanics/TopoBank | 3e598d4b98cbffa43764e335f026efcbe7580c8a | [
"MIT"
] | 168 | 2020-06-02T14:46:45.000Z | 2021-03-19T12:11:07.000Z | topobank/manager/views.py | ComputationalMechanics/TopoBank | 3e598d4b98cbffa43764e335f026efcbe7580c8a | [
"MIT"
] | null | null | null | import datetime
import logging
import os.path
import traceback
from io import BytesIO
import django_tables2 as tables
import numpy as np
from bokeh.embed import components
from bokeh.models import DataRange1d, LinearColorMapper, ColorBar, LabelSet, FuncTickFormatter, TapTool, OpenURL
from bokeh.plotting import figure... | 37.485685 | 122 | 0.610526 | import datetime
import logging
import os.path
import traceback
from io import BytesIO
import django_tables2 as tables
import numpy as np
from bokeh.embed import components
from bokeh.models import DataRange1d, LinearColorMapper, ColorBar, LabelSet, FuncTickFormatter, TapTool, OpenURL
from bokeh.plotting import figure... | 45,573 | 8,545 | 782 |
bbd02b18aafbd116aa8ea088f0e6678bdd955802 | 851 | py | Python | server/main.py | yuweiliandrew/openrtist | 4b6b17e77587751593d5e529b154e60513de3236 | [
"Apache-2.0"
] | null | null | null | server/main.py | yuweiliandrew/openrtist | 4b6b17e77587751593d5e529b154e60513de3236 | [
"Apache-2.0"
] | null | null | null | server/main.py | yuweiliandrew/openrtist | 4b6b17e77587751593d5e529b154e60513de3236 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
from gabriel_server.network_engine import server_runner
import logging
import argparse
import importlib
DEFAULT_PORT = 9099
DEFAULT_NUM_TOKENS = 2
INPUT_QUEUE_MAXSIZE = 60
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
if __name__ == "__main__":
main()
| 25.029412 | 99 | 0.720329 | #!/usr/bin/env python3
from gabriel_server.network_engine import server_runner
import logging
import argparse
import importlib
DEFAULT_PORT = 9099
DEFAULT_NUM_TOKENS = 2
INPUT_QUEUE_MAXSIZE = 60
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
def main():
parser = argparse.ArgumentP... | 512 | 0 | 23 |
4845208dc2008cff6748df7a14a9be766a0ca341 | 891 | py | Python | tests/models/product/product_relation_types/test_model.py | simonsobs/acondbs | 6ca11c2889d827ecdb2b54d0cf3b94b8cdd281e6 | [
"MIT"
] | null | null | null | tests/models/product/product_relation_types/test_model.py | simonsobs/acondbs | 6ca11c2889d827ecdb2b54d0cf3b94b8cdd281e6 | [
"MIT"
] | 24 | 2020-04-02T19:29:07.000Z | 2022-03-08T03:05:43.000Z | tests/models/product/product_relation_types/test_model.py | simonsobs/acondbs | 6ca11c2889d827ecdb2b54d0cf3b94b8cdd281e6 | [
"MIT"
] | 1 | 2020-04-08T15:48:28.000Z | 2020-04-08T15:48:28.000Z | from acondbs.db.sa import sa
from acondbs.models import ProductRelationType
##__________________________________________________________________||
##__________________________________________________________________||
| 28.741935 | 74 | 0.65881 | from acondbs.db.sa import sa
from acondbs.models import ProductRelationType
##__________________________________________________________________||
def test_column(app_empty):
app = app_empty
with app.app_context():
model = ProductRelationType(
name="parent",
indef_article="a",... | 647 | 0 | 22 |
1c9ae6c11296e6a1e6f7c38c20040bce04faf76f | 2,330 | py | Python | examples/my_line_rules.py | l0nax/gitlint | df84afed929af588191aa93534842fab80e117dd | [
"MIT"
] | null | null | null | examples/my_line_rules.py | l0nax/gitlint | df84afed929af588191aa93534842fab80e117dd | [
"MIT"
] | null | null | null | examples/my_line_rules.py | l0nax/gitlint | df84afed929af588191aa93534842fab80e117dd | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from gitlint.rules import LineRule, RuleViolation, CommitMessageTitle
from gitlint.options import ListOption
"""
Full details on user-defined rules: https://jorisroovers.com/gitlint/user_defined_rules
The SpecialChars class below is an example of a user-defined LineRule. Line rules are gitlin... | 44.807692 | 118 | 0.704292 | # -*- coding: utf-8 -*-
from gitlint.rules import LineRule, RuleViolation, CommitMessageTitle
from gitlint.options import ListOption
"""
Full details on user-defined rules: https://jorisroovers.com/gitlint/user_defined_rules
The SpecialChars class below is an example of a user-defined LineRule. Line rules are gitlin... | 492 | 0 | 27 |
4581b4010635dca053e4b3dabc1023c2a4d1faf8 | 2,117 | py | Python | src/subsystems/backarm.py | quis345/DeepSpace2019 | 917d120c4173e8085578c3fc7f98ecfffd8b6e5b | [
"MIT"
] | null | null | null | src/subsystems/backarm.py | quis345/DeepSpace2019 | 917d120c4173e8085578c3fc7f98ecfffd8b6e5b | [
"MIT"
] | null | null | null | src/subsystems/backarm.py | quis345/DeepSpace2019 | 917d120c4173e8085578c3fc7f98ecfffd8b6e5b | [
"MIT"
] | null | null | null | import ctre
from wpilib import SmartDashboard as Dash
from wpilib.command import Subsystem
from constants import Constants
from utils import singleton, units, lazytalonsrx, pidf
class BackArm(Subsystem, metaclass=singleton.Singleton):
"""The back arm subsystem controls the back arm motors and encoders."""
d... | 36.5 | 146 | 0.66462 | import ctre
from wpilib import SmartDashboard as Dash
from wpilib.command import Subsystem
from constants import Constants
from utils import singleton, units, lazytalonsrx, pidf
class BackArm(Subsystem, metaclass=singleton.Singleton):
"""The back arm subsystem controls the back arm motors and encoders."""
d... | 290 | 0 | 108 |
cd830753bb5761a968e2d3653e6ef40be79f29eb | 11,760 | py | Python | layers/densenet.py | IlikeBB/Object-Detection-for-M-NBI | 650fa1ca7b8860785f0a838dab0301a9cba121d6 | [
"MIT"
] | null | null | null | layers/densenet.py | IlikeBB/Object-Detection-for-M-NBI | 650fa1ca7b8860785f0a838dab0301a9cba121d6 | [
"MIT"
] | null | null | null | layers/densenet.py | IlikeBB/Object-Detection-for-M-NBI | 650fa1ca7b8860785f0a838dab0301a9cba121d6 | [
"MIT"
] | null | null | null | import re
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.checkpoint as cp
from collections import OrderedDict
import torch.utils.model_zoo as model_zoo
__all__ = ['DenseNet', 'densenet50', 'densenet121', 'densenet169', 'densenet201', 'densenet161']
model_urls = {
'densenet1... | 44.714829 | 192 | 0.63835 | import re
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.checkpoint as cp
from collections import OrderedDict
import torch.utils.model_zoo as model_zoo
__all__ = ['DenseNet', 'densenet50', 'densenet121', 'densenet169', 'densenet201', 'densenet161']
model_urls = {
'densenet1... | 6,645 | 20 | 260 |
4aae359bb47d841d355e338ca35c46c6de27cdca | 2,782 | py | Python | rfdmovie/models.py | Microndgt/rfdmovies | befba9ac7667d8234976b7fda7fa800beb5f05c7 | [
"MIT"
] | 18 | 2018-02-12T04:11:17.000Z | 2019-10-10T01:44:31.000Z | rfdmovie/models.py | Microndgt/rfdmovies | befba9ac7667d8234976b7fda7fa800beb5f05c7 | [
"MIT"
] | 1 | 2021-06-01T21:46:26.000Z | 2021-06-01T21:46:26.000Z | rfdmovie/models.py | tangzhoutz/rfdmovies-client | befba9ac7667d8234976b7fda7fa800beb5f05c7 | [
"MIT"
] | null | null | null | from sqlalchemy import ARRAY
from sqlalchemy import Column
from sqlalchemy.types import String, Integer, BigInteger, Float, Date, Text
from rfdmovie.db import BaseModel
from rfdmovie.utils import generate_timestamp
| 33.518072 | 90 | 0.626887 | from sqlalchemy import ARRAY
from sqlalchemy import Column
from sqlalchemy.types import String, Integer, BigInteger, Float, Date, Text
from rfdmovie.db import BaseModel
from rfdmovie.utils import generate_timestamp
class Movie(BaseModel):
__tablename__ = 'movie'
id = Column(Integer, primary_key=True)
na... | 1,183 | 1,335 | 46 |
87fdd5cc0a847ca325cf3cc9964514e6fe985f25 | 5,539 | py | Python | track/centroidtracker.py | yxtj/VideoServing | 52d1c1c97021f11cc4d77c181ac1144fe3a789ce | [
"MIT"
] | null | null | null | track/centroidtracker.py | yxtj/VideoServing | 52d1c1c97021f11cc4d77c181ac1144fe3a789ce | [
"MIT"
] | null | null | null | track/centroidtracker.py | yxtj/VideoServing | 52d1c1c97021f11cc4d77c181ac1144fe3a789ce | [
"MIT"
] | null | null | null | # modified from:
# https://www.pyimagesearch.com/2018/07/23/simple-object-tracking-with-opencv/
from scipy.spatial import distance as dist
import numpy as np
| 40.727941 | 78 | 0.608955 | # modified from:
# https://www.pyimagesearch.com/2018/07/23/simple-object-tracking-with-opencv/
from scipy.spatial import distance as dist
import numpy as np
class CentroidTracker():
def __init__(self, maxDisappeared=50):
# initialize the next unique object ID along with two ordered
# dictionaries ... | 4,998 | 3 | 363 |
5e9c4f1b493d16c09e4c154dee47c2a179feb368 | 2,371 | py | Python | trader/messaging/bus.py | 9600dev/mmr | b08e63b7044f2b2061d8679b216822c82d309c86 | [
"Apache-2.0"
] | 12 | 2021-09-22T21:19:23.000Z | 2022-01-03T21:38:47.000Z | trader/messaging/bus.py | 9600dev/mmr | b08e63b7044f2b2061d8679b216822c82d309c86 | [
"Apache-2.0"
] | null | null | null | trader/messaging/bus.py | 9600dev/mmr | b08e63b7044f2b2061d8679b216822c82d309c86 | [
"Apache-2.0"
] | 3 | 2021-09-05T23:26:13.000Z | 2022-03-25T01:01:22.000Z | import lightbus
from lightbus.api import Api, Event
from dataclasses import dataclass
from ib_insync.objects import Position, PortfolioItem
from ib_insync.contract import Contract
from ib_insync.order import Order, Trade
from trader.container import Container
from trader.trading.trading_runtime import Action, Trader
fr... | 38.241935 | 101 | 0.716997 | import lightbus
from lightbus.api import Api, Event
from dataclasses import dataclass
from ib_insync.objects import Position, PortfolioItem
from ib_insync.contract import Contract
from ib_insync.order import Order, Trade
from trader.container import Container
from trader.trading.trading_runtime import Action, Trader
fr... | 1,012 | 758 | 23 |
d5080d8c67c0d3338d1a3b44c3d780a559c00923 | 9,169 | py | Python | sdk/tests/router/config/resource_request_test.py | LeonLnj/turing | 93817f5cfb40d056a707bd85e9265b5cafdaeb94 | [
"Apache-2.0"
] | 1 | 2021-12-26T09:04:13.000Z | 2021-12-26T09:04:13.000Z | sdk/tests/router/config/resource_request_test.py | LeonLnj/turing | 93817f5cfb40d056a707bd85e9265b5cafdaeb94 | [
"Apache-2.0"
] | null | null | null | sdk/tests/router/config/resource_request_test.py | LeonLnj/turing | 93817f5cfb40d056a707bd85e9265b5cafdaeb94 | [
"Apache-2.0"
] | null | null | null | import pytest
from turing.generated.exceptions import ApiValueError
from turing.router.config.resource_request import (ResourceRequest, InvalidReplicaCountException)
@pytest.mark.parametrize(
"min_replica,max_replica,cpu_request,memory_request,expected", [
pytest.param(
1,
3,
... | 23.450128 | 97 | 0.583815 | import pytest
from turing.generated.exceptions import ApiValueError
from turing.router.config.resource_request import (ResourceRequest, InvalidReplicaCountException)
@pytest.mark.parametrize(
"min_replica,max_replica,cpu_request,memory_request,expected", [
pytest.param(
1,
3,
... | 5,029 | 0 | 308 |
3bf7e94c85fcc3d67cebd0e19a84bfc00aa8605f | 13,001 | py | Python | bs_align/bs_align_utils.py | huboqiang/BSseeker2 | 385f88cf78b3efced75798c00f0e7185ac064047 | [
"MIT"
] | null | null | null | bs_align/bs_align_utils.py | huboqiang/BSseeker2 | 385f88cf78b3efced75798c00f0e7185ac064047 | [
"MIT"
] | null | null | null | bs_align/bs_align_utils.py | huboqiang/BSseeker2 | 385f88cf78b3efced75798c00f0e7185ac064047 | [
"MIT"
] | 1 | 2021-11-01T03:21:47.000Z | 2021-11-01T03:21:47.000Z | from bs_utils.utils import *
import re
BAM_MATCH = 0
BAM_INS = 1
BAM_DEL = 2
BAM_SOFTCLIP = 4
CIGAR_OPS = {'M' : BAM_MATCH, 'I' : BAM_INS, 'D' : BAM_DEL, 'S' : BAM_SOFTCLIP}
#----------------------------------------------------------------
"""
Exmaple:
========
Read : ACCGCGTTGATCGAGTACGTACGTGGGTC
Adapter ... | 32.748111 | 133 | 0.515576 | from bs_utils.utils import *
import re
BAM_MATCH = 0
BAM_INS = 1
BAM_DEL = 2
BAM_SOFTCLIP = 4
CIGAR_OPS = {'M' : BAM_MATCH, 'I' : BAM_INS, 'D' : BAM_DEL, 'S' : BAM_SOFTCLIP}
def N_MIS(r,g):
mismatches = 0
if len(r)==len(g):
for i in xrange(len(r)):
if r[i] != g[i] and r[i] != "N" and g[... | 10,727 | 0 | 205 |
c3579c902cbdded2585c8b7a27020a60e348e6c2 | 160 | py | Python | scripts/portal/evantalk02.py | G00dBye/YYMS | 1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb | [
"MIT"
] | 54 | 2019-04-16T23:24:48.000Z | 2021-12-18T11:41:50.000Z | scripts/portal/evantalk02.py | G00dBye/YYMS | 1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb | [
"MIT"
] | 3 | 2019-05-19T15:19:41.000Z | 2020-04-27T16:29:16.000Z | scripts/portal/evantalk02.py | G00dBye/YYMS | 1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb | [
"MIT"
] | 49 | 2020-11-25T23:29:16.000Z | 2022-03-26T16:20:24.000Z | if not "mo02=o" in sm.getQRValue(22013):
sm.avatarOriented("Effect/OnUserEff.img/guideEffect/evanTutorial/evanBalloon02")
sm.addQRValue(22013, "mo02=o") | 53.333333 | 84 | 0.75625 | if not "mo02=o" in sm.getQRValue(22013):
sm.avatarOriented("Effect/OnUserEff.img/guideEffect/evanTutorial/evanBalloon02")
sm.addQRValue(22013, "mo02=o") | 0 | 0 | 0 |
534e4c177b3b875055cf3bc8aa81353837994a24 | 1,285 | py | Python | CS596/code04_lr/mglearn/plot_knn_regression.py | ko-takahashi/college | c333f1e1767f1206687f5e9b0fb3f0145b2d5d6a | [
"MIT"
] | 52 | 2019-02-15T16:37:13.000Z | 2022-02-17T18:34:30.000Z | Data Exploring/Data Exploring 12-25-17/mglearn/plot_knn_regression.py | RodeoBlues/Complete-Data-Science-Toolkits | c5e83889e24af825ec3baed6e8198debb135f1ff | [
"MIT"
] | 2 | 2021-06-19T08:04:01.000Z | 2021-06-20T16:01:21.000Z | Data Exploring/Data Exploring 12-25-17/mglearn/plot_knn_regression.py | RodeoBlues/Complete-Data-Science-Toolkits | c5e83889e24af825ec3baed6e8198debb135f1ff | [
"MIT"
] | 35 | 2019-02-08T02:00:31.000Z | 2022-03-01T23:17:00.000Z | import numpy as np
import matplotlib.pyplot as plt
from sklearn.neighbors import KNeighborsRegressor
from sklearn.metrics import euclidean_distances
from .datasets import make_wave
from .plot_helpers import cm3
| 32.948718 | 76 | 0.60856 | import numpy as np
import matplotlib.pyplot as plt
from sklearn.neighbors import KNeighborsRegressor
from sklearn.metrics import euclidean_distances
from .datasets import make_wave
from .plot_helpers import cm3
def plot_knn_regression(n_neighbors=1):
X, y = make_wave(n_samples=40)
X_test = np.array([[-1.5],... | 1,048 | 0 | 23 |
e5d4fa5bda36ea06fdffa442436c6a00ebf6be36 | 165 | py | Python | gravis/_internal/plotting/__init__.py | robert-haas/gravis | 3e63b606141bf78617b1247048a9e3ccca6d5824 | [
"Apache-2.0"
] | 3 | 2022-01-19T15:57:29.000Z | 2022-03-06T02:36:44.000Z | gravis/_internal/plotting/__init__.py | robert-haas/gravis | 3e63b606141bf78617b1247048a9e3ccca6d5824 | [
"Apache-2.0"
] | 2 | 2022-03-01T19:29:49.000Z | 2022-03-01T19:31:08.000Z | gravis/_internal/plotting/__init__.py | robert-haas/gravis | 3e63b606141bf78617b1247048a9e3ccca6d5824 | [
"Apache-2.0"
] | null | null | null | """A subpackage containing plotting functions."""
__all__ = [
'd3',
'three',
'vis',
]
from .d3 import d3
from .three import three
from .vis import vis
| 13.75 | 49 | 0.636364 | """A subpackage containing plotting functions."""
__all__ = [
'd3',
'three',
'vis',
]
from .d3 import d3
from .three import three
from .vis import vis
| 0 | 0 | 0 |
b74a21a3a4baee8e1ace1d4298da7847fa61cc93 | 68 | py | Python | src/obfuscapk/obfuscators/random_manifest/__init__.py | Elyorbe/Obfuscapk | 2ba18df4b5efe44b4fab271ab5ccfe51488fa693 | [
"MIT"
] | 688 | 2019-08-23T16:43:10.000Z | 2022-03-29T19:35:07.000Z | src/obfuscapk/obfuscators/random_manifest/__init__.py | Ktm2590/Obfuscapk | 4072b6dea88e91b75064a84c7d3adebe005e8207 | [
"MIT"
] | 124 | 2019-09-07T13:10:59.000Z | 2022-03-17T16:47:29.000Z | src/obfuscapk/obfuscators/random_manifest/__init__.py | Ktm2590/Obfuscapk | 4072b6dea88e91b75064a84c7d3adebe005e8207 | [
"MIT"
] | 204 | 2019-08-23T14:43:52.000Z | 2022-03-30T21:04:50.000Z | #!/usr/bin/env python3
from .random_manifest import RandomManifest
| 17 | 43 | 0.808824 | #!/usr/bin/env python3
from .random_manifest import RandomManifest
| 0 | 0 | 0 |
7fc69e8d42affa4c0554d5794c970f2092f0c828 | 2,152 | py | Python | subtest/test_coal_mine.py | RuneSkovrupHansen/python-testing | 318d082d1100877dea93cabca1c727199bc6416e | [
"MIT"
] | null | null | null | subtest/test_coal_mine.py | RuneSkovrupHansen/python-testing | 318d082d1100877dea93cabca1c727199bc6416e | [
"MIT"
] | null | null | null | subtest/test_coal_mine.py | RuneSkovrupHansen/python-testing | 318d082d1100877dea93cabca1c727199bc6416e | [
"MIT"
] | null | null | null | #!/bin/bash
from mimetypes import init
import unittest
import coal_mine
class TestCoalMine(unittest.TestCase):
# Test that worker property sets values in range correctly
# Test that worker property sets negative values to zero
# Test that worker property sets values exceeding threshold to t... | 37.103448 | 95 | 0.640335 | #!/bin/bash
from mimetypes import init
import unittest
import coal_mine
class TestCoalMine(unittest.TestCase):
def setUp(self):
self.cm = coal_mine.CoalMine()
# Test that worker property sets values in range correctly
def test_workers_in_range(self):
for workers in range(self.cm.WORK... | 768 | 0 | 163 |
c2a7b745461abcec5d3d58cd180c360982e7bdb3 | 19,014 | py | Python | testing/scripts/test_rolling_updates.py | pravingadakh/seldon-core | a72257fa851033ee09513a0b6b310087eb625e85 | [
"Apache-2.0"
] | null | null | null | testing/scripts/test_rolling_updates.py | pravingadakh/seldon-core | a72257fa851033ee09513a0b6b310087eb625e85 | [
"Apache-2.0"
] | null | null | null | testing/scripts/test_rolling_updates.py | pravingadakh/seldon-core | a72257fa851033ee09513a0b6b310087eb625e85 | [
"Apache-2.0"
] | null | null | null | import os
import time
import logging
import pytest
from subprocess import run
from seldon_e2e_utils import (
wait_for_status,
wait_for_rollout,
rest_request_ambassador,
initial_rest_request,
retry_run,
API_AMBASSADOR,
API_ISTIO_GATEWAY,
)
with_api_gateways = pytest.mark.parametrize(
"... | 47.181141 | 88 | 0.591143 | import os
import time
import logging
import pytest
from subprocess import run
from seldon_e2e_utils import (
wait_for_status,
wait_for_rollout,
rest_request_ambassador,
initial_rest_request,
retry_run,
API_AMBASSADOR,
API_ISTIO_GATEWAY,
)
def to_resources_path(file_name):
return os.pat... | 17,179 | 1,164 | 68 |
4ce4e405b09d9027494a202ab8deb07dfb728805 | 1,078 | py | Python | ingenico/connect/sdk/domain/mandates/definitions/create_mandate_with_return_url.py | festicket/connect-sdk-python3 | c399c6443789dd978f319c89e1ebd387c812a77b | [
"MIT"
] | 12 | 2016-09-26T21:46:31.000Z | 2020-12-23T18:44:54.000Z | ingenico/connect/sdk/domain/mandates/definitions/create_mandate_with_return_url.py | festicket/connect-sdk-python3 | c399c6443789dd978f319c89e1ebd387c812a77b | [
"MIT"
] | 3 | 2020-05-02T16:53:02.000Z | 2020-06-02T12:49:51.000Z | ingenico/connect/sdk/domain/mandates/definitions/create_mandate_with_return_url.py | festicket/connect-sdk-python3 | c399c6443789dd978f319c89e1ebd387c812a77b | [
"MIT"
] | 11 | 2017-07-16T00:55:28.000Z | 2021-09-24T17:00:49.000Z | # -*- coding: utf-8 -*-
#
# This class was auto-generated from the API references found at
# https://epayments-api.developer-ingenico.com/s2sapi/v1/
#
from ingenico.connect.sdk.domain.mandates.definitions.create_mandate_base import CreateMandateBase
| 29.135135 | 98 | 0.681818 | # -*- coding: utf-8 -*-
#
# This class was auto-generated from the API references found at
# https://epayments-api.developer-ingenico.com/s2sapi/v1/
#
from ingenico.connect.sdk.domain.mandates.definitions.create_mandate_base import CreateMandateBase
class CreateMandateWithReturnUrl(CreateMandateBase):
__return_u... | 446 | 358 | 23 |
68a2657034c704483c93720e0fd358d8d19b0d25 | 13,534 | py | Python | VIGA_METALICA_VERIFICA - Copy.py | wmpjrufg/RASD-ALGORITMOS | 1bdc2c4271c8019733c34333e5e91b70bc3c7604 | [
"MIT"
] | null | null | null | VIGA_METALICA_VERIFICA - Copy.py | wmpjrufg/RASD-ALGORITMOS | 1bdc2c4271c8019733c34333e5e91b70bc3c7604 | [
"MIT"
] | null | null | null | VIGA_METALICA_VERIFICA - Copy.py | wmpjrufg/RASD-ALGORITMOS | 1bdc2c4271c8019733c34333e5e91b70bc3c7604 | [
"MIT"
] | null | null | null | ################################################################################
# UNIVERSIDADE FEDERAL DE CATALÃO (UFCAT)
# WANDERLEI MALAQUIAS PEREIRA JUNIOR, ENG. CIVIL / PROF (UFCAT)
# DONIZETTI SOUZA JUNIOR, ENG. CIVIL (UFCAT)
###################################... | 36.479784 | 115 | 0.504064 | ################################################################################
# UNIVERSIDADE FEDERAL DE CATALÃO (UFCAT)
# WANDERLEI MALAQUIAS PEREIRA JUNIOR, ENG. CIVIL / PROF (UFCAT)
# DONIZETTI SOUZA JUNIOR, ENG. CIVIL (UFCAT)
###################################... | 1,056 | 0 | 46 |
368b9cd21ed0d5c389fc6e20d0fcc7a3b567992b | 1,671 | py | Python | main.py | unpamplemoussemignon/e314-music-visualization | 38fe1f97bfd35751867a51af330148f65b6f21bf | [
"CC0-1.0"
] | null | null | null | main.py | unpamplemoussemignon/e314-music-visualization | 38fe1f97bfd35751867a51af330148f65b6f21bf | [
"CC0-1.0"
] | null | null | null | main.py | unpamplemoussemignon/e314-music-visualization | 38fe1f97bfd35751867a51af330148f65b6f21bf | [
"CC0-1.0"
] | null | null | null | #!/usr/bin/env python
# =================================
# Music Visualizer
# ------------
# Reference to -> [May 2020] - Mina PECHEUX
#
# Based on the work by Yu-Jie Lin
# (Public Domain)
# Github: https://gist.github.com/manugarri/1c0fcfe9619b775bb82de0790ccb88da
import wave
import click
from compute import plt, c... | 32.764706 | 112 | 0.653501 | #!/usr/bin/env python
# =================================
# Music Visualizer
# ------------
# Reference to -> [May 2020] - Mina PECHEUX
#
# Based on the work by Yu-Jie Lin
# (Public Domain)
# Github: https://gist.github.com/manugarri/1c0fcfe9619b775bb82de0790ccb88da
import wave
import click
from compute import plt, c... | 601 | 0 | 22 |
df2176e417c138b40a9dee3721b7d6cc7dbf0916 | 1,663 | py | Python | gerar_inscricaoestadual.py | andrellmagalhaes/Open-development | 718fb1815fbd6dd194f1ec2049f56aa2a533b88e | [
"MIT"
] | 1 | 2021-09-13T00:55:08.000Z | 2021-09-13T00:55:08.000Z | gerar_inscricaoestadual.py | andrellmagalhaes/Open-development | 718fb1815fbd6dd194f1ec2049f56aa2a533b88e | [
"MIT"
] | null | null | null | gerar_inscricaoestadual.py | andrellmagalhaes/Open-development | 718fb1815fbd6dd194f1ec2049f56aa2a533b88e | [
"MIT"
] | null | null | null | # IMPORTAÇÕES
import random
import string
# FUNÇÃO QUE GERA NÚMEROS DE INSCRIÇÃO ESTADUAL
| 31.980769 | 79 | 0.629585 | # IMPORTAÇÕES
import random
import string
# FUNÇÃO QUE GERA NÚMEROS DE INSCRIÇÃO ESTADUAL
def gerar_inscricaoestadual(quantidade=1, tamanho=9):
# VERIFICA SE "QUANTIDADE" OU "TAMANHO" NÃO SÃO DO TIPO INTEIRO
if not type(quantidade) == int or not type(tamanho) == int:
raise TypeError("Os par... | 1,567 | 0 | 23 |
fa7b1e632b12afb4a0c70898ec7ee11e52a3402e | 2,160 | py | Python | tests/tests_unit/test_cdp_client.py | cognitedata/cognite-model-hosting | 89f58e25f0e3c3a37006e60f52246da0b00a0066 | [
"Apache-2.0"
] | 4 | 2019-05-27T12:51:45.000Z | 2020-02-26T08:16:30.000Z | tests/tests_unit/test_cdp_client.py | cognitedata/cognite-model-hosting | 89f58e25f0e3c3a37006e60f52246da0b00a0066 | [
"Apache-2.0"
] | 26 | 2019-03-18T15:10:20.000Z | 2021-06-21T05:47:24.000Z | tests/tests_unit/test_cdp_client.py | cognitedata/cognite-model-hosting | 89f58e25f0e3c3a37006e60f52246da0b00a0066 | [
"Apache-2.0"
] | null | null | null | import pandas as pd
import pytest
from cognite.client.data_classes import Datapoints, DatapointsList
from cognite.client.testing import monkeypatch_cognite_client
from cognite.model_hosting.data_fetcher._cdp_client import CdpClient, DatapointsFrameQuery
@pytest.fixture
@pytest.fixture
@pytest.fixture
| 31.304348 | 110 | 0.659259 | import pandas as pd
import pytest
from cognite.client.data_classes import Datapoints, DatapointsList
from cognite.client.testing import monkeypatch_cognite_client
from cognite.model_hosting.data_fetcher._cdp_client import CdpClient, DatapointsFrameQuery
@pytest.fixture
def mock_cogcli_datapoints_retrieve_single():
... | 1,713 | 0 | 135 |
55d1d3e1e8c91e15987eee3a0c33503376cce60d | 9,287 | py | Python | pygame_project/split_balloon/split_balloon_game.py | bbjoite09/PythonProject | f0ab7a4e6b23758612012ebf7989029e88edf204 | [
"MIT"
] | 1 | 2021-04-29T08:18:50.000Z | 2021-04-29T08:18:50.000Z | pygame_project/split_balloon/split_balloon_game.py | bbjoite09/PythonProject | f0ab7a4e6b23758612012ebf7989029e88edf204 | [
"MIT"
] | 1 | 2021-05-23T16:05:29.000Z | 2021-05-23T16:05:29.000Z | pygame_project/split_balloon/split_balloon_game.py | bbjoite09/PythonProject | f0ab7a4e6b23758612012ebf7989029e88edf204 | [
"MIT"
] | null | null | null | '''
오락실 pang 게임 만들기
[게임 조건]
1. 캐릭터는 화면 아래에 위치, 좌우로만 이동 가능
2. 스페이스를 누르면 무기를 쏘아 올림
3. 큰 공 1개가 나타나서 바운스
4. 무기에 닿으면 공은 작은 크기 2개로 분할, 가장 작은 크기의 공은 사라짐
5. 모든 공을 없애면 게임 종료(성공)
6. 캐릭터는 공에 닿으면 게임 종료(실패)
7. 시간 제한 99초 초과시 게임 종료(실패)
8. FPS는 30으로 고정(필요시 speed 값을 조정)
[게임 이미지]
1. 배경 : 640 * 480(가로, 세로) - background.png
2. 무대 : 640 ... | 31.588435 | 110 | 0.604824 | '''
오락실 pang 게임 만들기
[게임 조건]
1. 캐릭터는 화면 아래에 위치, 좌우로만 이동 가능
2. 스페이스를 누르면 무기를 쏘아 올림
3. 큰 공 1개가 나타나서 바운스
4. 무기에 닿으면 공은 작은 크기 2개로 분할, 가장 작은 크기의 공은 사라짐
5. 모든 공을 없애면 게임 종료(성공)
6. 캐릭터는 공에 닿으면 게임 종료(실패)
7. 시간 제한 99초 초과시 게임 종료(실패)
8. FPS는 30으로 고정(필요시 speed 값을 조정)
[게임 이미지]
1. 배경 : 640 * 480(가로, 세로) - background.png
2. 무대 : 640 ... | 0 | 0 | 0 |
6738ee449dfe6c373584329dd36f71a082590223 | 1,845 | py | Python | src/roadlr/vgg_post.py | deepguider/RoadGPS | 7db4669a54da98a854886b89b6922fb8c7a60f33 | [
"Apache-2.0",
"BSD-3-Clause"
] | 2 | 2019-05-22T12:47:34.000Z | 2019-05-23T15:43:47.000Z | src/roadlr/vgg_post.py | deepguider/RoadGPS | 7db4669a54da98a854886b89b6922fb8c7a60f33 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | src/roadlr/vgg_post.py | deepguider/RoadGPS | 7db4669a54da98a854886b89b6922fb8c7a60f33 | [
"Apache-2.0",
"BSD-3-Clause"
] | 1 | 2019-08-09T06:50:46.000Z | 2019-08-09T06:50:46.000Z | '''VGG11/13/16/19 in Pytorch.'''
import torch
import torch.nn as nn
import torchvision.models as models
import torch.nn.functional as F
from ipdb import set_trace as bp
cfg = {
'VGG16_POST': [512, 512, 'M']
}
| 38.4375 | 118 | 0.552304 | '''VGG11/13/16/19 in Pytorch.'''
import torch
import torch.nn as nn
import torchvision.models as models
import torch.nn.functional as F
from ipdb import set_trace as bp
cfg = {
'VGG16_POST': [512, 512, 'M']
}
class VGG_POST(nn.Module):
def __init__(self, height, width):
super(VGG_POST, self).__init__... | 1,522 | 5 | 103 |
db034706bef1d18d60d07c19f08ed0864ca128c0 | 9,352 | py | Python | vafator/tests/test_annotator.py | TRON-Bioinformatics/vafator | 032b9daeba52b6f560b9b3d428b3eceff541d0ee | [
"MIT"
] | 2 | 2021-10-17T12:50:13.000Z | 2021-11-19T06:00:57.000Z | vafator/tests/test_annotator.py | TRON-Bioinformatics/vafator | 032b9daeba52b6f560b9b3d428b3eceff541d0ee | [
"MIT"
] | 8 | 2021-10-14T10:25:04.000Z | 2022-02-15T21:14:10.000Z | vafator/tests/test_annotator.py | TRON-Bioinformatics/vafator | 032b9daeba52b6f560b9b3d428b3eceff541d0ee | [
"MIT"
] | null | null | null | import os
import pkg_resources
from unittest import TestCase
from cyvcf2 import VCF
from vafator.annotator import Annotator
import vafator.tests.utils as test_utils
import time
from logzero import logger
| 53.747126 | 120 | 0.710543 | import os
import pkg_resources
from unittest import TestCase
from cyvcf2 import VCF
from vafator.annotator import Annotator
import vafator.tests.utils as test_utils
import time
from logzero import logger
class TestAnnotator(TestCase):
def test_annotator(self):
input_file = pkg_resources.reso... | 8,901 | 9 | 228 |
817c9d802649e5563674be39ac0c3499f6cde805 | 4,358 | py | Python | orio-0.1.0/src/main/tuner/search/exhaustive/exhaustive.py | nn4ip/pluto | 92ace2441b6b8d6b66d1bb7ef3e893df4ff23a4d | [
"MIT"
] | 183 | 2017-01-28T17:23:29.000Z | 2022-03-25T08:58:56.000Z | orio-0.1.0/src/main/tuner/search/exhaustive/exhaustive.py | nn4ip/pluto | 92ace2441b6b8d6b66d1bb7ef3e893df4ff23a4d | [
"MIT"
] | 70 | 2017-03-29T09:51:04.000Z | 2021-12-28T07:00:44.000Z | orio-0.1.0/src/main/tuner/search/exhaustive/exhaustive.py | nn4ip/pluto | 92ace2441b6b8d6b66d1bb7ef3e893df4ff23a4d | [
"MIT"
] | 57 | 2017-03-29T07:27:58.000Z | 2022-01-14T03:13:39.000Z | #
# Implementation of the exhaustive search algorithm
#
import sys, time
import main.tuner.search.search
#-----------------------------------------------------
class Exhaustive(main.tuner.search.search.Search):
'''The search engine that uses an exhaustive search approach'''
def __init__(self, cfrags, axis_... | 36.621849 | 101 | 0.544516 | #
# Implementation of the exhaustive search algorithm
#
import sys, time
import main.tuner.search.search
#-----------------------------------------------------
class Exhaustive(main.tuner.search.search.Search):
'''The search engine that uses an exhaustive search approach'''
def __init__(self, cfrags, axis_... | 0 | 0 | 0 |
f2dc1850d674cc25fd856fe2c9f15426cb04a079 | 1,010 | py | Python | app.py | Manasi2001/Smart-Irrigation-System | 9de4b44256e6f998f7dde0c721ce34bf0000f360 | [
"MIT"
] | null | null | null | app.py | Manasi2001/Smart-Irrigation-System | 9de4b44256e6f998f7dde0c721ce34bf0000f360 | [
"MIT"
] | null | null | null | app.py | Manasi2001/Smart-Irrigation-System | 9de4b44256e6f998f7dde0c721ce34bf0000f360 | [
"MIT"
] | null | null | null | import os
import joblib
classifier = joblib.load(r'smartirrigation.pkl')
# importing Flask and other modules
from flask import Flask, request, render_template
import numpy as np
# Flask constructor
app = Flask(__name__)
# A decorator used to tell the application
# which URL is associated function... | 31.5625 | 67 | 0.622772 | import os
import joblib
classifier = joblib.load(r'smartirrigation.pkl')
# importing Flask and other modules
from flask import Flask, request, render_template
import numpy as np
# Flask constructor
app = Flask(__name__)
# A decorator used to tell the application
# which URL is associated function... | 507 | 0 | 23 |
4f076ea07d8ac8daa548c2e9e7e0dff9a07548bd | 4,761 | py | Python | bebotPlatform/settings.py | ElitosGon/bebotPlatform | f10b37ecc6cc748a719efc639faa9a2907357682 | [
"Apache-2.0"
] | null | null | null | bebotPlatform/settings.py | ElitosGon/bebotPlatform | f10b37ecc6cc748a719efc639faa9a2907357682 | [
"Apache-2.0"
] | 6 | 2020-06-05T17:08:29.000Z | 2022-03-11T23:14:15.000Z | bebotPlatform/settings.py | ElitosGon/bebotPlatform | f10b37ecc6cc748a719efc639faa9a2907357682 | [
"Apache-2.0"
] | null | null | null | """
Django settings for bebotPlatform project.
Generated by 'django-admin startproject' using Django 2.0.1.
For more information on this file, see
https://docs.djangoproject.com/en/2.0/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.0/ref/settings/
"""
from dj... | 26.45 | 118 | 0.705944 | """
Django settings for bebotPlatform project.
Generated by 'django-admin startproject' using Django 2.0.1.
For more information on this file, see
https://docs.djangoproject.com/en/2.0/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.0/ref/settings/
"""
from dj... | 0 | 0 | 0 |
e19efff62172edb798c2b0bad7a319dbf88a5318 | 3,862 | py | Python | flowsa/Census_CBP.py | cchiq/flowsa | fc21e8da7c3ba66ca4ae4a0c72f568af7ef5e6c0 | [
"CC0-1.0"
] | null | null | null | flowsa/Census_CBP.py | cchiq/flowsa | fc21e8da7c3ba66ca4ae4a0c72f568af7ef5e6c0 | [
"CC0-1.0"
] | null | null | null | flowsa/Census_CBP.py | cchiq/flowsa | fc21e8da7c3ba66ca4ae4a0c72f568af7ef5e6c0 | [
"CC0-1.0"
] | null | null | null | # Census_CBP.py (flowsa)
# !/usr/bin/env python3
# coding=utf-8
"""
Pulls County Business Patterns data in NAICS from the Census Bureau
Writes out to various FlowBySector class files for these data items
EMP = Number of employees, Class = Employment
PAYANN = Annual payroll ($1,000), Class = Money
ESTAB = Number of esta... | 38.62 | 86 | 0.631538 | # Census_CBP.py (flowsa)
# !/usr/bin/env python3
# coding=utf-8
"""
Pulls County Business Patterns data in NAICS from the Census Bureau
Writes out to various FlowBySector class files for these data items
EMP = Number of employees, Class = Employment
PAYANN = Annual payroll ($1,000), Class = Money
ESTAB = Number of esta... | 3,124 | 0 | 69 |
5dcd64d4cbce7570663b74758a9b37abc2510d4e | 1,363 | py | Python | packages/pyright-internal/src/tests/samples/variadicTypeVar2.py | sasano8/pyright | e804f324ee5dbd25fd37a258791b3fd944addecd | [
"MIT"
] | 4,391 | 2019-05-07T01:18:57.000Z | 2022-03-31T20:45:44.000Z | packages/pyright-internal/src/tests/samples/variadicTypeVar2.py | sasano8/pyright | e804f324ee5dbd25fd37a258791b3fd944addecd | [
"MIT"
] | 2,740 | 2019-05-07T03:29:30.000Z | 2022-03-31T12:57:46.000Z | packages/pyright-internal/src/tests/samples/variadicTypeVar2.py | sasano8/pyright | e804f324ee5dbd25fd37a258791b3fd944addecd | [
"MIT"
] | 455 | 2019-05-07T12:55:14.000Z | 2022-03-31T17:09:15.000Z | # This sample tests various conditions under which Unpack
# can and cannot be used.
# pyright: reportMissingModuleSource=false
from typing import Generic, List, Tuple, TypeVar, Union
from typing_extensions import TypeVarTuple, Unpack
_T = TypeVar("_T")
_Xs = TypeVarTuple("_Xs")
# This should generate an error.
x... | 21.296875 | 63 | 0.62876 | # This sample tests various conditions under which Unpack
# can and cannot be used.
# pyright: reportMissingModuleSource=false
from typing import Generic, List, Tuple, TypeVar, Union
from typing_extensions import TypeVarTuple, Unpack
_T = TypeVar("_T")
_Xs = TypeVarTuple("_Xs")
class ClassA(Generic[_T, Unpack[_Xs... | 295 | 411 | 68 |
b3129c41be6df0f67c689237bce862f41d0f6489 | 12,097 | py | Python | dockeroo/docker/gentoo_bootstrap.py | dockeroo/dockeroo | 6395b4008d0d3d6cabdfec9d52ce448b095fdae1 | [
"Apache-2.0"
] | 4 | 2016-07-25T09:21:32.000Z | 2022-02-11T19:11:23.000Z | dockeroo/docker/gentoo_bootstrap.py | dockeroo/dockeroo | 6395b4008d0d3d6cabdfec9d52ce448b095fdae1 | [
"Apache-2.0"
] | null | null | null | dockeroo/docker/gentoo_bootstrap.py | dockeroo/dockeroo | 6395b4008d0d3d6cabdfec9d52ce448b095fdae1 | [
"Apache-2.0"
] | null | null | null |
# -*- coding: utf-8 -*-
#
# Copyright (c) 2016, Giacomo Cariello. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Un... | 42.745583 | 182 | 0.630322 |
# -*- coding: utf-8 -*-
#
# Copyright (c) 2016, Giacomo Cariello. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Un... | 3,999 | 84 | 131 |
bc5473086318e86d614755dbb30522dfe789f2a8 | 10,298 | py | Python | Apollo.py | heitorsampaio/ApolloAI | c2983ce51c52641453fb1f6e0d7598bdd47ed66d | [
"MIT"
] | null | null | null | Apollo.py | heitorsampaio/ApolloAI | c2983ce51c52641453fb1f6e0d7598bdd47ed66d | [
"MIT"
] | null | null | null | Apollo.py | heitorsampaio/ApolloAI | c2983ce51c52641453fb1f6e0d7598bdd47ed66d | [
"MIT"
] | null | null | null | #!/usr/bin python3
#importing stuffs
import speech_recognition as sr
import os
import sys
import re
import webbrowser
import smtplib
import requests
import subprocess
from pyowm import OWM
import youtube_dl
import vlc
import urllib
import urllib3
import json
from bs4 import BeautifulSoup as soup
from urllib.request i... | 32.588608 | 158 | 0.578171 | #!/usr/bin python3
#importing stuffs
import speech_recognition as sr
import os
import sys
import re
import webbrowser
import smtplib
import requests
import subprocess
from pyowm import OWM
import youtube_dl
import vlc
import urllib
import urllib3
import json
from bs4 import BeautifulSoup as soup
from urllib.request i... | 8,734 | 26 | 414 |
77402bae8e8b2c3ce234d1baa57bbcf8550c4e85 | 1,094 | py | Python | lib/xos-synchronizer/xos-synchronizer-tests/test_event_steps/event_step.py | mary-grace/xos | 3e269834d29f936757f5091183c9b5188ed5cb9e | [
"Apache-2.0"
] | 66 | 2015-01-29T20:56:45.000Z | 2021-07-01T09:56:44.000Z | lib/xos-synchronizer/xos-synchronizer-tests/test_event_steps/event_step.py | mary-grace/xos | 3e269834d29f936757f5091183c9b5188ed5cb9e | [
"Apache-2.0"
] | 112 | 2015-01-30T19:59:09.000Z | 2017-04-08T16:43:40.000Z | lib/xos-synchronizer/xos-synchronizer-tests/test_event_steps/event_step.py | mary-grace/xos | 3e269834d29f936757f5091183c9b5188ed5cb9e | [
"Apache-2.0"
] | 66 | 2015-02-09T17:35:36.000Z | 2021-03-24T12:31:19.000Z | # Copyright 2017-present Open Networking Foundation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | 35.290323 | 81 | 0.756856 | # Copyright 2017-present Open Networking Foundation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | 170 | 135 | 23 |
40ad6cc077d9a49f51d8967b96d2c30ae64493ca | 484 | py | Python | modules/joinall.py | JohnBishop95/MirahezeBots | 4408c65cabac750cd9771f4ed0889f530253bfff | [
"EFL-2.0"
] | null | null | null | modules/joinall.py | JohnBishop95/MirahezeBots | 4408c65cabac750cd9771f4ed0889f530253bfff | [
"EFL-2.0"
] | null | null | null | modules/joinall.py | JohnBishop95/MirahezeBots | 4408c65cabac750cd9771f4ed0889f530253bfff | [
"EFL-2.0"
] | null | null | null | """This module implements .joinall."""
from __future__ import (
unicode_literals,
absolute_import,
print_function,
division
)
from sopel import module
import time
@module.require_admin
@module.commands('joinall')
@module.thread(True)
def handle_joins(bot, trigger):
"""Join some channels."""
... | 19.36 | 39 | 0.669421 | """This module implements .joinall."""
from __future__ import (
unicode_literals,
absolute_import,
print_function,
division
)
from sopel import module
import time
@module.require_admin
@module.commands('joinall')
@module.thread(True)
def handle_joins(bot, trigger):
"""Join some channels."""
... | 0 | 0 | 0 |
2c158777c33cf24c011d63203509380559f6719a | 2,052 | py | Python | application/py/crolling.py | MaengJowan/bookshare | aee23df229e67961a2cb92526ac74d2563287fb0 | [
"MIT"
] | null | null | null | application/py/crolling.py | MaengJowan/bookshare | aee23df229e67961a2cb92526ac74d2563287fb0 | [
"MIT"
] | null | null | null | application/py/crolling.py | MaengJowan/bookshare | aee23df229e67961a2cb92526ac74d2563287fb0 | [
"MIT"
] | null | null | null | import requests
import json
from bs4 import BeautifulSoup
import sys
word = sys.argv[1]
word = word.strip().replace("&", "+")
main()
| 31.569231 | 142 | 0.634016 | import requests
import json
from bs4 import BeautifulSoup
import sys
word = sys.argv[1]
word = word.strip().replace("&", "+")
def get_coverImg(url):
result=requests.get(url)
soup = BeautifulSoup(result.text, 'html.parser')
div = soup.find("div", {"id":"divDetailInfo"})
if(div == None):
imgUrl = "http://... | 1,824 | 0 | 92 |
b247dcd44831854f5cf0ba67245c72b96e7ebb14 | 1,597 | py | Python | WGALP/blocks/load_krakendb_ramdisk.py | redsnic/WGA-LP | 1d8f4a85843b4220559e3e5cccaaee8c78e1b452 | [
"MIT"
] | 5 | 2021-08-03T17:09:19.000Z | 2021-12-14T18:11:02.000Z | WGALP/blocks/load_krakendb_ramdisk.py | redsnic/WGA-LP | 1d8f4a85843b4220559e3e5cccaaee8c78e1b452 | [
"MIT"
] | null | null | null | WGALP/blocks/load_krakendb_ramdisk.py | redsnic/WGA-LP | 1d8f4a85843b4220559e3e5cccaaee8c78e1b452 | [
"MIT"
] | null | null | null | # --- default imports ---
# --- load utils ---
from WGALP.utils.commandLauncher import run_sp
from WGALP.step import Step
description = """
load kraken_db in a ramdisk
"""
input_description = """
the position (on disk) of the kraken2 database
"""
output_description = """
the mounting point of the newly created ramdis... | 28.017544 | 87 | 0.65623 | # --- default imports ---
# --- load utils ---
from WGALP.utils.commandLauncher import run_sp
from WGALP.step import Step
description = """
load kraken_db in a ramdisk
"""
input_description = """
the position (on disk) of the kraken2 database
"""
output_description = """
the mounting point of the newly created ramdis... | 342 | 0 | 22 |
c40972a4bff7bb3ccdd36b0d87f0b2f304adfe8b | 1,166 | py | Python | src/toil/utils/toilDestroyCluster.py | YeoLab/toil | 9837c396b946bc4a0cf97e7c2705e5892b88707b | [
"Apache-2.0"
] | null | null | null | src/toil/utils/toilDestroyCluster.py | YeoLab/toil | 9837c396b946bc4a0cf97e7c2705e5892b88707b | [
"Apache-2.0"
] | 1 | 2017-07-31T23:47:25.000Z | 2017-07-31T23:47:25.000Z | src/toil/utils/toilDestroyCluster.py | lexentbio/toil | 6ad3813af4450962d0899aa6c821189f86472ef9 | [
"Apache-2.0"
] | 1 | 2020-09-17T17:49:32.000Z | 2020-09-17T17:49:32.000Z | # Copyright (C) 2015 UCSC Computational Genomics Lab
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 35.333333 | 74 | 0.766724 | # Copyright (C) 2015 UCSC Computational Genomics Lab
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 268 | 0 | 23 |
0c4337a0ad68810e4d3b72feb11fc8e929ff526c | 778 | py | Python | Muzact/app.py | Vikash-Kothary/hackathon-project-muzact | f5fdc8537faeda691dccdccc79d45a153c2dbab6 | [
"MIT"
] | null | null | null | Muzact/app.py | Vikash-Kothary/hackathon-project-muzact | f5fdc8537faeda691dccdccc79d45a153c2dbab6 | [
"MIT"
] | null | null | null | Muzact/app.py | Vikash-Kothary/hackathon-project-muzact | f5fdc8537faeda691dccdccc79d45a153c2dbab6 | [
"MIT"
] | null | null | null | from flask import Flask, request
import requests, json
app = Flask(__name__)
@app.route('/shazam', methods=['GET', 'POST'])
@app.route('/')
if __name__ == '__main__':
app.run('0.0.0.0', debug = 'True')
| 28.814815 | 74 | 0.661954 | from flask import Flask, request
import requests, json
app = Flask(__name__)
@app.route('/shazam', methods=['GET', 'POST'])
@app.route('/')
def index():
if request.method == 'POST':
return "{'artist':'Taylor Swift', 'song':'style'}"
# return shazam_request(request.data)
return 'Hello World'
def shazam_reque... | 523 | 0 | 46 |
ed5972ed81f4bea34843be0060bc2e8cdc364c2f | 2,287 | py | Python | Decimal_to_Binary_Converter.py | jerryhcooke/Decimal-Binary-Converter | 6ee6d47b33418f65dbcbbaa67b7e2da3c94f9063 | [
"MIT"
] | null | null | null | Decimal_to_Binary_Converter.py | jerryhcooke/Decimal-Binary-Converter | 6ee6d47b33418f65dbcbbaa67b7e2da3c94f9063 | [
"MIT"
] | null | null | null | Decimal_to_Binary_Converter.py | jerryhcooke/Decimal-Binary-Converter | 6ee6d47b33418f65dbcbbaa67b7e2da3c94f9063 | [
"MIT"
] | null | null | null | # A converter that takes a denary number and converts it, using comparison
# rather than recursion, to binary
import sys
from colorama import init
from termcolor import cprint
from pyfiglet import figlet_format
init(strip=not sys.stdout.isatty())
cprint(figlet_format('Binary / Decimal Converter', font='doom'), 'whit... | 31.763889 | 79 | 0.615216 | # A converter that takes a denary number and converts it, using comparison
# rather than recursion, to binary
import sys
from colorama import init
from termcolor import cprint
from pyfiglet import figlet_format
init(strip=not sys.stdout.isatty())
cprint(figlet_format('Binary / Decimal Converter', font='doom'), 'whit... | 847 | 0 | 69 |
0fc69002b14a34c3e184479e98b73ecbe4f4b141 | 2,341 | py | Python | appliedpy_ecourse/class7/ex2_models.py | fallenfuzz/pynet | 9624d83cca160fd325a34e838e4474c9b80fe2ab | [
"Apache-2.0"
] | 528 | 2015-01-07T15:28:51.000Z | 2022-03-27T09:45:37.000Z | appliedpy_ecourse/class7/ex2_models.py | fallenfuzz/pynet | 9624d83cca160fd325a34e838e4474c9b80fe2ab | [
"Apache-2.0"
] | 19 | 2015-07-01T23:52:27.000Z | 2021-09-22T04:30:34.000Z | appliedpy_ecourse/class7/ex2_models.py | fallenfuzz/pynet | 9624d83cca160fd325a34e838e4474c9b80fe2ab | [
"Apache-2.0"
] | 555 | 2015-01-18T07:21:43.000Z | 2022-03-20T21:25:22.000Z | '''
Add an SnmpCredentials model to the models.py file. This model should support
both SNMPv3 and SNMPv1/v2c. Add a foreign key reference in the NetworkDevice
model pointing to the SnmpCredentials model.
'''
from django.db import models
| 48.770833 | 80 | 0.699701 | '''
Add an SnmpCredentials model to the models.py file. This model should support
both SNMPv3 and SNMPv1/v2c. Add a foreign key reference in the NetworkDevice
model pointing to the SnmpCredentials model.
'''
from django.db import models
class Credentials(models.Model):
username = models.CharField(max_le... | 126 | 1,905 | 69 |
d168eea59a42d588125683162b3e1f7ba5c1b21c | 988 | py | Python | epics/devices/ad_image.py | juanfem/pyepics | 6ced9237aa51e306a48057be0f80b08e44dbf0ae | [
"OML"
] | 55 | 2015-05-09T14:42:51.000Z | 2022-02-21T19:53:06.000Z | epics/devices/ad_image.py | juanfem/pyepics | 6ced9237aa51e306a48057be0f80b08e44dbf0ae | [
"OML"
] | 192 | 2015-01-22T16:36:41.000Z | 2022-02-09T17:19:17.000Z | epics/devices/ad_image.py | juanfem/pyepics | 6ced9237aa51e306a48057be0f80b08e44dbf0ae | [
"OML"
] | 43 | 2015-09-15T20:55:02.000Z | 2022-02-21T19:53:07.000Z | from .. import Device
class AD_ImagePlugin(Device):
"""
AreaDetector Image Plugin
"""
attrs = ('ArrayData',
'UniqueId', 'UniqueId_RBV',
'NDimensions', 'NDimensions_RBV',
'ArraySize0', 'ArraySize0_RBV',
'ArraySize1', 'ArraySize1_RBV',
'Arr... | 30.875 | 69 | 0.572874 | from .. import Device
class AD_ImagePlugin(Device):
"""
AreaDetector Image Plugin
"""
attrs = ('ArrayData',
'UniqueId', 'UniqueId_RBV',
'NDimensions', 'NDimensions_RBV',
'ArraySize0', 'ArraySize0_RBV',
'ArraySize1', 'ArraySize1_RBV',
'Arr... | 111 | 0 | 27 |
6327f2a9bb703904fc001768cbf7a0f87cd749ea | 4,196 | py | Python | script/tazerUtil/serverUtil.py | jstrube/tazer | 18a6d66ad2c20376609f1af7940e43b2031e4fd0 | [
"BSD-3-Clause"
] | null | null | null | script/tazerUtil/serverUtil.py | jstrube/tazer | 18a6d66ad2c20376609f1af7940e43b2031e4fd0 | [
"BSD-3-Clause"
] | null | null | null | script/tazerUtil/serverUtil.py | jstrube/tazer | 18a6d66ad2c20376609f1af7940e43b2031e4fd0 | [
"BSD-3-Clause"
] | null | null | null | import subprocess as sp
from . import util
# This is a Tazer Server class. It is here to help wrap several functions that
# exist across the Tazer source. The Commands listed in the arguments are the
# equivalent commands (and arguments) as if run from the build tree.
# The path is the path to the build director... | 41.137255 | 99 | 0.637274 | import subprocess as sp
from . import util
# This is a Tazer Server class. It is here to help wrap several functions that
# exist across the Tazer source. The Commands listed in the arguments are the
# equivalent commands (and arguments) as if run from the build tree.
class TazerServer:
# The path is the path to... | 2,419 | -3 | 230 |
903d6526666ce50546bae687fd6815485193c917 | 915 | py | Python | altstreamfield/utils.py | didorothy/wagtailaltstreamfield | 00b6be4420e031036f1d2d6c0122969df7fb3900 | [
"BSD-2-Clause"
] | null | null | null | altstreamfield/utils.py | didorothy/wagtailaltstreamfield | 00b6be4420e031036f1d2d6c0122969df7fb3900 | [
"BSD-2-Clause"
] | 20 | 2019-11-12T16:49:32.000Z | 2021-03-09T23:04:20.000Z | altstreamfield/utils.py | didorothy/wagtailaltstreamfield | 00b6be4420e031036f1d2d6c0122969df7fb3900 | [
"BSD-2-Clause"
] | null | null | null | from django.forms.widgets import Media
def get_class_media(base, instance):
'''Convenience function to be used when overriding the `media` property.
This function maintains the tasks of the media property set up by
`MediaDefiningClass` but allows you to extend the normal behavior.
Use:
class MyCl... | 31.551724 | 76 | 0.571585 | from django.forms.widgets import Media
def get_class_media(base, instance):
'''Convenience function to be used when overriding the `media` property.
This function maintains the tasks of the media property set up by
`MediaDefiningClass` but allows you to extend the normal behavior.
Use:
class MyCl... | 0 | 0 | 0 |
b553b1daf5dcad704f72c521e15d5d3492a81839 | 1,158 | py | Python | tests/functional_tests/pool/open_pool_ledger_with_valid_data_test.py | wYaobiz/indy-test-suite | 7b4a3f9bb73e5830fea17a158dc0fc96ab29ac32 | [
"Apache-2.0"
] | 1 | 2021-07-26T14:19:07.000Z | 2021-07-26T14:19:07.000Z | tests/functional_tests/pool/open_pool_ledger_with_valid_data_test.py | wYaobiz/indy-test-suite | 7b4a3f9bb73e5830fea17a158dc0fc96ab29ac32 | [
"Apache-2.0"
] | null | null | null | tests/functional_tests/pool/open_pool_ledger_with_valid_data_test.py | wYaobiz/indy-test-suite | 7b4a3f9bb73e5830fea17a158dc0fc96ab29ac32 | [
"Apache-2.0"
] | null | null | null | from indy import pool
from utilities import utils
from utilities import common, constant
from test_scripts.functional_tests.pool.pool_test_base import PoolTestBase
import pytest
| 39.931034 | 75 | 0.662349 | from indy import pool
from utilities import utils
from utilities import common, constant
from test_scripts.functional_tests.pool.pool_test_base import PoolTestBase
import pytest
class TestOpenPoolLedgerConfig(PoolTestBase):
@pytest.mark.asyncio
async def test(self):
# 1. Create pool ledger configura... | 879 | 76 | 23 |
d9fe82a160d5b6f40eb7f848610280b2b907fd7b | 1,213 | py | Python | examples/reference/models/select_server.py | g-parki/bokeh | 664ead5306bba64609e734d4105c8aa8cfb76d81 | [
"BSD-3-Clause"
] | 15,193 | 2015-01-01T05:11:45.000Z | 2022-03-31T19:30:20.000Z | examples/reference/models/select_server.py | g-parki/bokeh | 664ead5306bba64609e734d4105c8aa8cfb76d81 | [
"BSD-3-Clause"
] | 9,554 | 2015-01-01T03:16:54.000Z | 2022-03-31T22:59:39.000Z | examples/reference/models/select_server.py | g-parki/bokeh | 664ead5306bba64609e734d4105c8aa8cfb76d81 | [
"BSD-3-Clause"
] | 4,829 | 2015-01-02T03:35:32.000Z | 2022-03-30T16:40:26.000Z | ## Bokeh server for Select
import pandas as pd
from bokeh.io import curdoc
from bokeh.layouts import row
from bokeh.models import ColumnDataSource, Select
from bokeh.plotting import figure
x=[3,4,6,12,10,1,5,6,3,8]
y=[7,1,3,4,1,6,10,4,10,3]
label=['Red', 'Orange', 'Red', 'Orange','Red', 'Orange','Red', 'Orange','Red'... | 29.585366 | 93 | 0.695796 | ## Bokeh server for Select
import pandas as pd
from bokeh.io import curdoc
from bokeh.layouts import row
from bokeh.models import ColumnDataSource, Select
from bokeh.plotting import figure
x=[3,4,6,12,10,1,5,6,3,8]
y=[7,1,3,4,1,6,10,4,10,3]
label=['Red', 'Orange', 'Red', 'Orange','Red', 'Orange','Red', 'Orange','Red'... | 319 | 0 | 23 |
da1d50a4f230ab93ab71b745cfeb7b321c903875 | 1,055 | py | Python | src/sample/corpus_extraction_sklearn.py | humanist96/kmorph | 0fc9ccdf77847de9602ca0c7f428e9dbb813b984 | [
"Apache-2.0"
] | null | null | null | src/sample/corpus_extraction_sklearn.py | humanist96/kmorph | 0fc9ccdf77847de9602ca0c7f428e9dbb813b984 | [
"Apache-2.0"
] | null | null | null | src/sample/corpus_extraction_sklearn.py | humanist96/kmorph | 0fc9ccdf77847de9602ca0c7f428e9dbb813b984 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from sklearn.feature_extraction.text import CountVectorizer
from natto import MeCab
_morpheme_type = ['NNG', 'NNP']
_escape_pattern = ['\n']
_nm = MeCab()
corpus = generate_corpus2('news.txt')
print('corpus : ', corpus)
_cv = CountVectorizer()
word_matrix = _cv.fit_transform(corpus)
inde... | 23.977273 | 59 | 0.627488 | # -*- coding: utf-8 -*-
from sklearn.feature_extraction.text import CountVectorizer
from natto import MeCab
_morpheme_type = ['NNG', 'NNP']
_escape_pattern = ['\n']
_nm = MeCab()
def filter_by_type(text):
terms = []
for term_info in str(_nm.parse(text)).split('\n'):
_term_info = term_info.split('\t... | 573 | 0 | 46 |
03eae6ce95f068bc2d9cb82135f48b30fa2fa332 | 2,894 | py | Python | UIBox/item.py | yemenPython/TheBossBaby | 86e447b3fa360646a179e62c70b1750da5427541 | [
"MIT"
] | 1 | 2021-12-16T16:31:29.000Z | 2021-12-16T16:31:29.000Z | UIBox/item.py | yemenPython/TheBossBaby | 86e447b3fa360646a179e62c70b1750da5427541 | [
"MIT"
] | null | null | null | UIBox/item.py | yemenPython/TheBossBaby | 86e447b3fa360646a179e62c70b1750da5427541 | [
"MIT"
] | 1 | 2021-12-16T16:31:35.000Z | 2021-12-16T16:31:35.000Z | #!/usr/bin/python3
from PyQt5 import QtCore, QtGui, QtWidgets
| 36.632911 | 104 | 0.653766 | #!/usr/bin/python3
from PyQt5 import QtCore, QtGui, QtWidgets
class UIBUi_Item(QtWidgets.QWidget):
def __init__(self):
super(UIBUi_Item, self).__init__()
self.setObjectName("Form")
self.setMouseTracking(True)
self.gridLayout_2 = QtWidgets.QGridLayout(self)
self.gridLayout... | 2,740 | 15 | 76 |
64abab9832222fe0a8a6331f331b74645977e71e | 5,313 | py | Python | sentenceSpliter.py | neerbek/taboo-mon | 3dc74fd38b112531db8b5f696ed92b894cc0a3b3 | [
"MIT"
] | 1 | 2021-05-10T00:27:10.000Z | 2021-05-10T00:27:10.000Z | sentenceSpliter.py | neerbek/taboo-mon | 3dc74fd38b112531db8b5f696ed92b894cc0a3b3 | [
"MIT"
] | null | null | null | sentenceSpliter.py | neerbek/taboo-mon | 3dc74fd38b112531db8b5f696ed92b894cc0a3b3 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on April 12, 2018
@author: neerbek
"""
import os
import getopt
import sys
import io
import monUtil
import monsantoData
import textClean
import server_rnn_helper
from similarity import load_trees
from importlib import reload
reload(textClean)
# from backends import PDFMinerBack... | 31.070175 | 153 | 0.652174 | # -*- coding: utf-8 -*-
"""
Created on April 12, 2018
@author: neerbek
"""
import os
import getopt
import sys
import io
import monUtil
import monsantoData
import textClean
import server_rnn_helper
from similarity import load_trees
from importlib import reload
reload(textClean)
# from backends import PDFMinerBack... | 143 | 0 | 23 |
c11bc4ddc779cc37ccba80a70677f0703b4a7cf3 | 7,182 | py | Python | scoring/fields.py | stkrizh/otus | 6bff5cf62661bb7bab6eac6cb563a63a52a56423 | [
"MIT"
] | 1 | 2021-07-25T11:11:55.000Z | 2021-07-25T11:11:55.000Z | scoring/fields.py | stkrizh/otus | 6bff5cf62661bb7bab6eac6cb563a63a52a56423 | [
"MIT"
] | 3 | 2020-03-24T17:33:29.000Z | 2021-08-23T20:20:31.000Z | scoring/fields.py | stkrizh/otus | 6bff5cf62661bb7bab6eac6cb563a63a52a56423 | [
"MIT"
] | null | null | null | import datetime as dt
import re
class Field(object):
"""Base class for fields validation.
Attributes
----------
allowed_type : Optional[type or Tuple[type]]
Allowed field's type.
Parameters
----------
label: Optional[unicode]
Name of the field.
required : bool
... | 25.378092 | 79 | 0.574353 | import datetime as dt
import re
class ValidationError(Exception):
pass
class Field(object):
"""Base class for fields validation.
Attributes
----------
allowed_type : Optional[type or Tuple[type]]
Allowed field's type.
Parameters
----------
label: Optional[unicode]
N... | 2,662 | 21 | 372 |
b2dc8eb7563fbeae7c3260ea4983e67be1ebdf31 | 974 | py | Python | Ex028.py | andrade-lcs/ex_curso_em_video_python | f2d029efe7a20cdf0fcb5b602f9992e27d37c263 | [
"MIT"
] | null | null | null | Ex028.py | andrade-lcs/ex_curso_em_video_python | f2d029efe7a20cdf0fcb5b602f9992e27d37c263 | [
"MIT"
] | null | null | null | Ex028.py | andrade-lcs/ex_curso_em_video_python | f2d029efe7a20cdf0fcb5b602f9992e27d37c263 | [
"MIT"
] | null | null | null | #t=int(input('Quantos anos tem seu carro?'))
#if t <=3:
# print('Carro novo')
#else:
# print('Carro velho')
#print('Carro novo' if t<=3 else 'Carro velho')
#print('fim')
# print('Que nome lindo')
#print('Bom dia, {}'.format(n))
#print('fim')
#_____________________________
import random
from time import sleep
c ... | 30.4375 | 90 | 0.616016 | #t=int(input('Quantos anos tem seu carro?'))
#if t <=3:
# print('Carro novo')
#else:
# print('Carro velho')
#print('Carro novo' if t<=3 else 'Carro velho')
#print('fim')
# print('Que nome lindo')
#print('Bom dia, {}'.format(n))
#print('fim')
#_____________________________
import random
from time import sleep
c ... | 0 | 0 | 0 |
eb225baa26daf67586d587e4ced2d1f3464104dc | 5,232 | py | Python | daluke/plot/plot_finetune_ner.py | peleiden/daluke | d2c85ba6b80021b2959b369381c447d18b058576 | [
"MIT"
] | 10 | 2021-07-06T08:31:45.000Z | 2021-12-17T09:13:33.000Z | daluke/plot/plot_finetune_ner.py | peleiden/daLUKE | d2c85ba6b80021b2959b369381c447d18b058576 | [
"MIT"
] | 70 | 2021-03-26T13:30:39.000Z | 2021-06-10T15:06:36.000Z | daluke/plot/plot_finetune_ner.py | peleiden/daluke | d2c85ba6b80021b2959b369381c447d18b058576 | [
"MIT"
] | null | null | null | from __future__ import annotations
import os
import click
from pelutils.logger import log
from pelutils.ds.plot import figsize_std, tab_colours, update_rc_params, rc_params
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
import numpy as np
from daluke.ner.training import TrainResults
from daluke.... | 37.106383 | 183 | 0.661888 | from __future__ import annotations
import os
import click
from pelutils.logger import log
from pelutils.ds.plot import figsize_std, tab_colours, update_rc_params, rc_params
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
import numpy as np
from daluke.ner.training import TrainResults
from daluke.... | 4,613 | 0 | 114 |
06fdf5dfdb4933696507f332998511229cae25be | 833 | py | Python | VSCode_work/chapter10/chapter10_10_10.py | yangyahu-1994/Python-Crash-Course | 6f8ef7fe8466d88931a0d3cc423ba5d966663b9d | [
"MIT"
] | 12 | 2020-10-22T14:03:27.000Z | 2022-03-28T08:14:22.000Z | VSCode_work/chapter10/chapter10_10_10.py | yangyahu-1994/Python-Crash-Course | 6f8ef7fe8466d88931a0d3cc423ba5d966663b9d | [
"MIT"
] | null | null | null | VSCode_work/chapter10/chapter10_10_10.py | yangyahu-1994/Python-Crash-Course | 6f8ef7fe8466d88931a0d3cc423ba5d966663b9d | [
"MIT"
] | 9 | 2020-12-22T10:22:12.000Z | 2022-03-28T08:14:53.000Z | # 定义函数
def count_numbers(filename):
"""获取指定的文件，并计算单词'the'在每个文件中出现的次数"""
try:
with open(filename) as file_object:
contents = file_object.read()
except FileNotFoundError:
print(f"Sorry, the file {filename} does not exits.")
else:
# 计算出现的次数
numbers = contents.low... | 41.65 | 115 | 0.683073 | # 定义函数
def count_numbers(filename):
"""获取指定的文件，并计算单词'the'在每个文件中出现的次数"""
try:
with open(filename) as file_object:
contents = file_object.read()
except FileNotFoundError:
print(f"Sorry, the file {filename} does not exits.")
else:
# 计算出现的次数
numbers = contents.low... | 0 | 0 | 0 |
01db368e89b0bf8334c4f381333f9897fa93f294 | 793 | py | Python | apps/article/tests/article/test_article_list.py | magocod/django_repository | 660664ba2321499e92c3c5c23719756db2569e90 | [
"MIT"
] | 1 | 2019-10-01T01:39:29.000Z | 2019-10-01T01:39:29.000Z | apps/article/tests/article/test_article_list.py | magocod/django_repository | 660664ba2321499e92c3c5c23719756db2569e90 | [
"MIT"
] | 7 | 2019-12-04T21:40:40.000Z | 2020-06-26T21:49:51.000Z | apps/article/tests/article/test_article_list.py | magocod/django_repository | 660664ba2321499e92c3c5c23719756db2569e90 | [
"MIT"
] | 1 | 2020-04-08T02:46:31.000Z | 2020-04-08T02:46:31.000Z | # standard library
import json
# local Django
from apps.article.models import Article
from apps.article.serializers.article import ArticleHeavySerializer
from apps.tests.fixtures import RepositoryTestCase
class ListArticleTest(RepositoryTestCase):
"""
...
"""
serializer = ArticleHeavySerializer
| 29.37037 | 71 | 0.727617 | # standard library
import json
# local Django
from apps.article.models import Article
from apps.article.serializers.article import ArticleHeavySerializer
from apps.tests.fixtures import RepositoryTestCase
class ListArticleTest(RepositoryTestCase):
"""
...
"""
serializer = ArticleHeavySerializer
... | 423 | 0 | 54 |
93787bb0da83949daeb1c9f0fd9a21dd757d69bd | 275 | py | Python | ai/games/random_ai_game.py | JonKruger/checkers | 8cc1390fcb69c1af15ac740fb3321aea7357f5d0 | [
"MIT"
] | null | null | null | ai/games/random_ai_game.py | JonKruger/checkers | 8cc1390fcb69c1af15ac740fb3321aea7357f5d0 | [
"MIT"
] | null | null | null | ai/games/random_ai_game.py | JonKruger/checkers | 8cc1390fcb69c1af15ac740fb3321aea7357f5d0 | [
"MIT"
] | null | null | null | from ai.players.random_ai_player import RandomAIPlayer
from ai.games.ai_game import AIGame
from checkers.game import Game
import random
| 30.555556 | 70 | 0.781818 | from ai.players.random_ai_player import RandomAIPlayer
from ai.games.ai_game import AIGame
from checkers.game import Game
import random
class RandomAIGame(AIGame):
def __init__(self, verbose=False):
super().__init__(RandomAIPlayer(), RandomAIPlayer(), verbose)
| 83 | 6 | 50 |
e3fac1b3c3b5a1717c6d26e6cb738d1ed4d5e6c2 | 8,281 | py | Python | syne_tune/optimizer/schedulers/transfer_learning/zero_shot.py | awslabs/syne-tune | 1dd8e157477b86db01047a9a7821780ea04389bc | [
"ECL-2.0",
"Apache-2.0"
] | 97 | 2021-11-18T17:14:30.000Z | 2022-03-29T00:33:12.000Z | syne_tune/optimizer/schedulers/transfer_learning/zero_shot.py | awslabs/syne-tune | 1dd8e157477b86db01047a9a7821780ea04389bc | [
"ECL-2.0",
"Apache-2.0"
] | 54 | 2021-11-18T17:14:12.000Z | 2022-03-22T08:11:48.000Z | syne_tune/optimizer/schedulers/transfer_learning/zero_shot.py | awslabs/syne-tune | 1dd8e157477b86db01047a9a7821780ea04389bc | [
"ECL-2.0",
"Apache-2.0"
] | 9 | 2021-11-29T11:47:32.000Z | 2022-02-24T15:28:11.000Z | # Copyright 2021 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License").
# You may not use this file except in compliance with the License.
# A copy of the License is located at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# or in the "license... | 44.762162 | 120 | 0.662601 | # Copyright 2021 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License").
# You may not use this file except in compliance with the License.
# A copy of the License is located at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# or in the "license... | 1,129 | 6,085 | 23 |
5a21299c7960ef147aa799e8ad8d4e56f46263b8 | 423 | py | Python | copymaks.py | LittleQBerry/sklearn-logist | 4ed208547b9d93171a8da14d3d010ec721cd17fa | [
"MIT"
] | null | null | null | copymaks.py | LittleQBerry/sklearn-logist | 4ed208547b9d93171a8da14d3d010ec721cd17fa | [
"MIT"
] | null | null | null | copymaks.py | LittleQBerry/sklearn-logist | 4ed208547b9d93171a8da14d3d010ec721cd17fa | [
"MIT"
] | null | null | null | import os
from shutil import copyfile
from os import listdir
save_dir =r'J:/game/seg_classification/data/'
imgs_dir =r'J:/game/seg_classification/_ouput_dir_/'
if not os.path.isdir(save_dir):
os.makedirs(save_dir)
for files in listdir(imgs_dir):
if files[-5] =='0':
source_file=os.path.join(imgs_dir ... | 22.263158 | 52 | 0.718676 | import os
from shutil import copyfile
from os import listdir
save_dir =r'J:/game/seg_classification/data/'
imgs_dir =r'J:/game/seg_classification/_ouput_dir_/'
if not os.path.isdir(save_dir):
os.makedirs(save_dir)
for files in listdir(imgs_dir):
if files[-5] =='0':
source_file=os.path.join(imgs_dir ... | 0 | 0 | 0 |
c313d884667195d72422dcbdf27ccb9ddfa77912 | 3,927 | py | Python | haiku/_src/random_test.py | rushic24/dm-haiku | 8ee1a2125587831783ae7ae1e74baacec23ae56d | [
"Apache-2.0"
] | null | null | null | haiku/_src/random_test.py | rushic24/dm-haiku | 8ee1a2125587831783ae7ae1e74baacec23ae56d | [
"Apache-2.0"
] | null | null | null | haiku/_src/random_test.py | rushic24/dm-haiku | 8ee1a2125587831783ae7ae1e74baacec23ae56d | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 DeepMind Technologies Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | 32.188525 | 80 | 0.66794 | # Copyright 2019 DeepMind Technologies Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | 2,625 | 33 | 269 |
6a6b82dcc5b09f38955912cdd231dfc079e2215b | 319 | py | Python | csf_tz/after_sales_services/doctype/requested_payments/requested_payments_dashboard.py | Craftint/CSF_TZ | b5cb2d59d8f4e958ad7d4cb89421cfbec992abc5 | [
"MIT"
] | null | null | null | csf_tz/after_sales_services/doctype/requested_payments/requested_payments_dashboard.py | Craftint/CSF_TZ | b5cb2d59d8f4e958ad7d4cb89421cfbec992abc5 | [
"MIT"
] | null | null | null | csf_tz/after_sales_services/doctype/requested_payments/requested_payments_dashboard.py | Craftint/CSF_TZ | b5cb2d59d8f4e958ad7d4cb89421cfbec992abc5 | [
"MIT"
] | 1 | 2022-03-17T22:49:40.000Z | 2022-03-17T22:49:40.000Z | from frappe import _
| 16.789474 | 50 | 0.579937 | from frappe import _
def get_data():
return {
'fieldname': 're',
'non_standard_fieldnames': {
'Payment Entry': 'reference_name'
},
'internal_links': {
'Sales Order': ['references', 'reference_name']
},
'transactions': [
{
'label': _('Payments'),
'items': ['Payment Entry']
}
]
}
| 275 | 0 | 23 |
d7b4ca7a20b08e02e79aa7bd12cd25a873780374 | 3,180 | py | Python | najdisi_sms/cli.py | brodul/najdi-si-sms | a73c2bfb55bcf7e2bfb4a75f50adff166873c6ed | [
"BSD-3-Clause"
] | 5 | 2016-01-08T21:35:21.000Z | 2018-10-11T08:59:21.000Z | najdisi_sms/cli.py | brodul/najdi-si-sms | a73c2bfb55bcf7e2bfb4a75f50adff166873c6ed | [
"BSD-3-Clause"
] | 4 | 2016-01-09T14:30:33.000Z | 2017-09-16T17:39:49.000Z | najdisi_sms/cli.py | brodul/najdi-si-sms | a73c2bfb55bcf7e2bfb4a75f50adff166873c6ed | [
"BSD-3-Clause"
] | 2 | 2017-09-08T21:45:25.000Z | 2018-10-16T11:55:13.000Z | from argparse import ArgumentParser
import os
import sys
from six.moves.configparser import ConfigParser
from najdisi_sms import utils
from .api import SMSSender
log = utils.get_logger()
class SettingParser(object):
"""docstring for SettingParser"""
def merge_settings(self, parser_space):
"""
... | 27.179487 | 70 | 0.545597 | from argparse import ArgumentParser
import os
import sys
from six.moves.configparser import ConfigParser
from najdisi_sms import utils
from .api import SMSSender
log = utils.get_logger()
class SettingParser(object):
"""docstring for SettingParser"""
def __init__(self, args=None):
self.args = args o... | 2,108 | 0 | 134 |
93045327b67530baa933c410a2531ed53bd0fbbd | 6,484 | py | Python | utils/metrics.py | Hua-YS/Multi-Scene-Recognition | 5c3db2a893221a1b49482675ac5f03532edd4f85 | [
"MIT"
] | 5 | 2021-06-28T12:49:38.000Z | 2021-09-07T11:21:29.000Z | utils/metrics.py | Hua-YS/Multi-Scene-Recognition | 5c3db2a893221a1b49482675ac5f03532edd4f85 | [
"MIT"
] | null | null | null | utils/metrics.py | Hua-YS/Multi-Scene-Recognition | 5c3db2a893221a1b49482675ac5f03532edd4f85 | [
"MIT"
] | 2 | 2021-07-19T09:19:11.000Z | 2021-11-07T20:25:04.000Z | """
Modified from ML-GCN/util.py:
* adding calculations: OP, OR, OF1, CP, CR, CF1, EP, ER, EF1
* removing args: difficult_examples
"""
import math
import torch
from PIL import Image
from tqdm import tqdm
import numpy as np
import random
import torch.nn.functional as F
| 35.048649 | 111 | 0.549352 | """
Modified from ML-GCN/util.py:
* adding calculations: OP, OR, OF1, CP, CR, CF1, EP, ER, EF1
* removing args: difficult_examples
"""
import math
import torch
from PIL import Image
from tqdm import tqdm
import numpy as np
import random
import torch.nn.functional as F
class AveragePrecisionMeter(object):
def __i... | 1,316 | 4,872 | 24 |
c8983a64630f30f7f21c9bbdaa9a782c0bbb3db8 | 3,862 | py | Python | compmatscipy/MyStats.py | YunyeongChoi/compmatscipy | 44d0fe9f4d3806a21ee3bfcbca24b42120d91193 | [
"MIT"
] | 5 | 2019-08-19T14:48:31.000Z | 2022-03-24T20:08:31.000Z | compmatscipy/MyStats.py | YunyeongChoi/compmatscipy | 44d0fe9f4d3806a21ee3bfcbca24b42120d91193 | [
"MIT"
] | 1 | 2019-08-24T16:51:29.000Z | 2019-08-24T16:51:29.000Z | compmatscipy/MyStats.py | YunyeongChoi/compmatscipy | 44d0fe9f4d3806a21ee3bfcbca24b42120d91193 | [
"MIT"
] | 5 | 2019-07-16T19:15:28.000Z | 2021-03-29T04:49:54.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Aug 6 12:05:46 2019
@author: chrisbartel
"""
import numpy as np
from sklearn.metrics import confusion_matrix, r2_score | 31.145161 | 95 | 0.56318 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Aug 6 12:05:46 2019
@author: chrisbartel
"""
import numpy as np
from sklearn.metrics import confusion_matrix, r2_score
def _make_binary_labels(data, thresh):
return [1 if v <= thresh else 0 for v in data]
class MyStats(object):
def __ini... | 2,860 | 770 | 46 |
471a892d7e1469bc55d6a5fb681247474418f271 | 2,531 | py | Python | ceph_deploy/hosts/suse/install.py | zidarsk8/ceph-deploy | e286d7d0cf6e161708909c91ea7f99aacf08c7c4 | [
"MIT"
] | 1 | 2018-01-03T03:13:24.000Z | 2018-01-03T03:13:24.000Z | ceph_deploy/hosts/suse/install.py | zidarsk8/ceph-deploy | e286d7d0cf6e161708909c91ea7f99aacf08c7c4 | [
"MIT"
] | null | null | null | ceph_deploy/hosts/suse/install.py | zidarsk8/ceph-deploy | e286d7d0cf6e161708909c91ea7f99aacf08c7c4 | [
"MIT"
] | null | null | null | from ceph_deploy.util import templates
from ceph_deploy.lib.remoto import process
| 25.31 | 112 | 0.453971 | from ceph_deploy.util import templates
from ceph_deploy.lib.remoto import process
def install(distro, version_kind, version, adjust_repos):
release = distro.release
machine = distro.machine_type
if version_kind in ['stable', 'testing']:
key = 'release'
else:
key = 'autobuild'
if ... | 2,401 | 0 | 46 |
74891ac87248010c5d11d2a67dbd35f68b342069 | 29 | py | Python | examples/class_trivial.py | doboy/Underscore | d98273db3144cda79191d2c90f45d81b6d700b1f | [
"MIT"
] | 7 | 2016-09-23T00:44:05.000Z | 2021-10-04T21:19:12.000Z | examples/class_trivial.py | jameswu1991/Underscore | d98273db3144cda79191d2c90f45d81b6d700b1f | [
"MIT"
] | 1 | 2016-09-23T00:45:05.000Z | 2019-02-16T19:05:37.000Z | examples/class_trivial.py | jameswu1991/Underscore | d98273db3144cda79191d2c90f45d81b6d700b1f | [
"MIT"
] | 3 | 2016-09-23T01:13:15.000Z | 2018-07-20T21:22:17.000Z |
Bar()
| 5.8 | 12 | 0.517241 | class Bar():
pass
Bar()
| 0 | 0 | 22 |
983347675b3f89295d6d1c7b7c4125a61b2ca029 | 771 | py | Python | project_euler/problem_13/sol1.py | ming-nju/Python_learn | a0d31fe79310ed636047b1595da04a824394f3bc | [
"MIT"
] | 2 | 2019-07-19T07:45:01.000Z | 2019-07-19T07:45:09.000Z | project_euler/problem_13/sol1.py | ming-nju/Python_learn | a0d31fe79310ed636047b1595da04a824394f3bc | [
"MIT"
] | null | null | null | project_euler/problem_13/sol1.py | ming-nju/Python_learn | a0d31fe79310ed636047b1595da04a824394f3bc | [
"MIT"
] | 3 | 2019-04-29T02:36:37.000Z | 2019-10-05T12:17:59.000Z | """
Problem Statement:
Work out the first ten digits of the sum of the following one-hundred 50-digit
numbers.
"""
from __future__ import print_function
import os
try:
raw_input # Python 2
except NameError:
raw_input = input # Python 3
def solution(array):
"""Returns the first ten digits of the sum of ... | 20.837838 | 78 | 0.594034 | """
Problem Statement:
Work out the first ten digits of the sum of the following one-hundred 50-digit
numbers.
"""
from __future__ import print_function
import os
try:
raw_input # Python 2
except NameError:
raw_input = input # Python 3
def solution(array):
"""Returns the first ten digits of the sum of ... | 0 | 0 | 0 |
06be20eddfdbb8f127ad0de90c3d9e742d293f5a | 2,275 | py | Python | extensions/music.py | ggoncalopereira/JBB.py | e66419466cc6d35e134cceb8c8ad48102556658b | [
"MIT"
] | null | null | null | extensions/music.py | ggoncalopereira/JBB.py | e66419466cc6d35e134cceb8c8ad48102556658b | [
"MIT"
] | null | null | null | extensions/music.py | ggoncalopereira/JBB.py | e66419466cc6d35e134cceb8c8ad48102556658b | [
"MIT"
] | 1 | 2020-12-10T23:08:52.000Z | 2020-12-10T23:08:52.000Z | import discord
from discord.ext import commands
import json
import subprocess
class Music(commands.Cog):
"""Play all great classics"""
@commands.command(name='play',
description="play a given music",
brief="play a given music")
@commands.command(name='stop'... | 39.224138 | 119 | 0.565714 | import discord
from discord.ext import commands
import json
import subprocess
class Music(commands.Cog):
"""Play all great classics"""
def __init__(self, bot):
self.bot = bot
@commands.command(name='play',
description="play a given music",
brief="play a ... | 1,738 | 0 | 101 |
1af70b5c74ac9c6f87ca8ab4ea3b051aa0ade4f9 | 2,313 | py | Python | dmscripts/bulk_upload_documents.py | alphagov-mirror/digitalmarketplace-scripts | 8a7ef9b2b5f5fffea6e012bd676b095a27d35101 | [
"MIT"
] | 1 | 2020-06-23T01:55:31.000Z | 2020-06-23T01:55:31.000Z | dmscripts/bulk_upload_documents.py | alphagov-mirror/digitalmarketplace-scripts | 8a7ef9b2b5f5fffea6e012bd676b095a27d35101 | [
"MIT"
] | 267 | 2015-10-12T12:43:52.000Z | 2021-08-19T10:38:55.000Z | dmscripts/bulk_upload_documents.py | alphagov-mirror/digitalmarketplace-scripts | 8a7ef9b2b5f5fffea6e012bd676b095a27d35101 | [
"MIT"
] | 7 | 2015-11-11T16:47:41.000Z | 2021-04-10T18:03:04.000Z | import re
import csv
from dmutils.documents import get_document_path, generate_download_filename
| 36.714286 | 119 | 0.707739 | import re
import csv
from dmutils.documents import get_document_path, generate_download_filename
def upload_file(bucket, dry_run, file_path, framework_slug, bucket_category, supplier_name_dict=None):
# Retrieve the supplier ID from the filepath
supplier_id = get_supplier_id_from_framework_file_path(file_path... | 2,119 | 0 | 92 |
042b8109e2f671dcb6a5528205ba2a23432c656d | 1,200 | py | Python | SUAVE/SUAVE-2.5.0/trunk/SUAVE/Methods/Flight_Dynamics/Dynamic_Stability/Full_Linearized_Equations/Supporting_Functions/cm_alphadot.py | Vinicius-Tanigawa/Undergraduate-Research-Project | e92372f07882484b127d7affe305eeec2238b8a9 | [
"MIT"
] | null | null | null | SUAVE/SUAVE-2.5.0/trunk/SUAVE/Methods/Flight_Dynamics/Dynamic_Stability/Full_Linearized_Equations/Supporting_Functions/cm_alphadot.py | Vinicius-Tanigawa/Undergraduate-Research-Project | e92372f07882484b127d7affe305eeec2238b8a9 | [
"MIT"
] | null | null | null | SUAVE/SUAVE-2.5.0/trunk/SUAVE/Methods/Flight_Dynamics/Dynamic_Stability/Full_Linearized_Equations/Supporting_Functions/cm_alphadot.py | Vinicius-Tanigawa/Undergraduate-Research-Project | e92372f07882484b127d7affe305eeec2238b8a9 | [
"MIT"
] | null | null | null | ## @ingroup Methods-Flight_Dynamics-Dynamic_Stability-Full_Linearized_Equations-Supporting_Functions
# cm_alphadot.py
#
# Created: Jun 2014, A. Wendorff
# Modified: Jan 2016, E. Botero
# ----------------------------------------------------------------------
# Method
# ----------------------------------------------... | 30.769231 | 100 | 0.55 | ## @ingroup Methods-Flight_Dynamics-Dynamic_Stability-Full_Linearized_Equations-Supporting_Functions
# cm_alphadot.py
#
# Created: Jun 2014, A. Wendorff
# Modified: Jan 2016, E. Botero
# ----------------------------------------------------------------------
# Method
# ----------------------------------------------... | 0 | 0 | 0 |
d171c4fc232b86e1fa3960aaaa0c13f95e31ee4a | 1,697 | py | Python | test/application/test_request_assertion_model.py | Ashaba/API-Monitor | 533eb6698fcb5decb48f746784af6894844b3c69 | [
"MIT"
] | null | null | null | test/application/test_request_assertion_model.py | Ashaba/API-Monitor | 533eb6698fcb5decb48f746784af6894844b3c69 | [
"MIT"
] | 22 | 2018-02-06T19:53:11.000Z | 2021-04-30T20:35:01.000Z | test/application/test_request_assertion_model.py | Ashaba/API-Monitor | 533eb6698fcb5decb48f746784af6894844b3c69 | [
"MIT"
] | null | null | null | from test.base import BaseTestCase
from application.models import RequestAssertion
| 41.390244 | 95 | 0.831467 | from test.base import BaseTestCase
from application.models import RequestAssertion
class TestRequestAssertionModel(BaseTestCase):
def setUp(self):
super(TestRequestAssertionModel, self).setUp()
self.test_request_assertion = RequestAssertion(
request_id="1",
assertion_type="Status Code",
comparison="equ... | 1,467 | 25 | 121 |
59a020e72f267e4924a4e2b3801e624ac28cb564 | 539 | py | Python | regex/count_smiley_faces.py | ahmedelq/PythonicAlgorithms | ce10dbb6e1fd0ea5c922a932b0f920236aa411bf | [
"MIT"
] | null | null | null | regex/count_smiley_faces.py | ahmedelq/PythonicAlgorithms | ce10dbb6e1fd0ea5c922a932b0f920236aa411bf | [
"MIT"
] | null | null | null | regex/count_smiley_faces.py | ahmedelq/PythonicAlgorithms | ce10dbb6e1fd0ea5c922a932b0f920236aa411bf | [
"MIT"
] | null | null | null |
#Author: ahmelq - github.com/ahmedelq/
#License: MIT
#This is a solution of https://www.codewars.com/kata/583203e6eb35d7980400002a
if __name__ == "__main__":
print(
countSmileys([':)', ';(', ';}', ':-D']), # should return 2
countSmileys([';D', ':-(', ':-)', ';~)']), # should return ... | 26.95 | 77 | 0.489796 |
#Author: ahmelq - github.com/ahmedelq/
#License: MIT
#This is a solution of https://www.codewars.com/kata/583203e6eb35d7980400002a
def countSmileys(arr):
import re
return len(
re.compile(r'[:;][-~]?[\)D]')
.findall(' '.join(arr))
)
if __name__ == "__main__":
print(
coun... | 111 | 0 | 23 |
10d104b9b64fc13f624cb8a75615a586496f8dc6 | 6,984 | py | Python | plastron/commands/export.py | dsteelma-umd/plastron | d0e344c65ee2dfeba4fd78df3f73a1ae5f42b1d0 | [
"Apache-2.0"
] | null | null | null | plastron/commands/export.py | dsteelma-umd/plastron | d0e344c65ee2dfeba4fd78df3f73a1ae5f42b1d0 | [
"Apache-2.0"
] | null | null | null | plastron/commands/export.py | dsteelma-umd/plastron | d0e344c65ee2dfeba4fd78df3f73a1ae5f42b1d0 | [
"Apache-2.0"
] | null | null | null | import json
import logging
import os
from argparse import Namespace
from datetime import datetime
from tempfile import NamedTemporaryFile
from time import sleep
from plastron import pcdm
from plastron.stomp import Message
from plastron.exceptions import FailureException, DataReadException, RESTAPIException
from plast... | 36.375 | 113 | 0.507016 | import json
import logging
import os
from argparse import Namespace
from datetime import datetime
from tempfile import NamedTemporaryFile
from time import sleep
from plastron import pcdm
from plastron.stomp import Message
from plastron.exceptions import FailureException, DataReadException, RESTAPIException
from plast... | 6,339 | -7 | 149 |
2d0af0d7fb0d233d7cf933b498df9ce8898f7a13 | 8,312 | py | Python | helpers/ResNet.py | kchare/advex_notbugs_features | 0ec0578a1aba2bdb86854676c005488091b64123 | [
"MIT"
] | 2 | 2022-02-08T11:51:12.000Z | 2022-02-23T00:30:07.000Z | helpers/ResNet.py | kchare/advex_notbugs_features | 0ec0578a1aba2bdb86854676c005488091b64123 | [
"MIT"
] | null | null | null | helpers/ResNet.py | kchare/advex_notbugs_features | 0ec0578a1aba2bdb86854676c005488091b64123 | [
"MIT"
] | 2 | 2021-12-21T20:31:28.000Z | 2022-01-21T17:06:34.000Z | <<<<<<< HEAD
'''Implements ResNet9,..56 dynamically for CIFAR-10
Description of implementation can be found here: https://arxiv.org/pdf/1512.03385.pdf'''
import tensorflow as
class ResNetBlock(tf.keras.layers.Layer):
'''See official RStudio/Keras documentation here:
https://github.com/rstudio/keras/blob/main/vigne... | 45.922652 | 131 | 0.664461 | <<<<<<< HEAD
'''Implements ResNet9,..56 dynamically for CIFAR-10
Description of implementation can be found here: https://arxiv.org/pdf/1512.03385.pdf'''
import tensorflow as
class ResNetBlock(tf.keras.layers.Layer):
'''See official RStudio/Keras documentation here:
https://github.com/rstudio/keras/blob/main/vigne... | 5,904 | 466 | 172 |
55b78c2012898f4fe86987d78fcabcd324b3ffd9 | 558 | py | Python | src/ram/service/__init__.py | bootforce-dev/ram-framework | b39c43cbe3b6e76db73dfd65c38da4fa578b032f | [
"MIT"
] | 1 | 2019-03-01T10:19:34.000Z | 2019-03-01T10:19:34.000Z | src/ram/service/__init__.py | ram-framework/ram-framework | b39c43cbe3b6e76db73dfd65c38da4fa578b032f | [
"MIT"
] | null | null | null | src/ram/service/__init__.py | ram-framework/ram-framework | b39c43cbe3b6e76db73dfd65c38da4fa578b032f | [
"MIT"
] | null | null | null | import pkgutil
from ram.classes import Service
| 27.9 | 62 | 0.625448 | import pkgutil
from ram.classes import Service
class __api__(object):
def __iter__(self):
for _, srvname, _ in pkgutil.iter_modules(__path__):
yield srvname
def __getitem__(self, srvname):
if not srvname:
raise ImportError("Service name cannot be empty.")
srvp... | 432 | 1 | 76 |
8cf872b6a3c803c792ca79410991edaca09c12a3 | 19,959 | py | Python | src/test_chess.py | liyiran/adversarial-search | 8346cec55e9872409e0e6714cf8bce5e8d82bc8d | [
"Apache-2.0"
] | null | null | null | src/test_chess.py | liyiran/adversarial-search | 8346cec55e9872409e0e6714cf8bce5e8d82bc8d | [
"Apache-2.0"
] | null | null | null | src/test_chess.py | liyiran/adversarial-search | 8346cec55e9872409e0e6714cf8bce5e8d82bc8d | [
"Apache-2.0"
] | null | null | null | from unittest import TestCase, skip
from hw1cs561s2018 import Chess, Configuration, alphabeta_cutoff_search, minimax_decision
| 35.201058 | 200 | 0.651486 | from unittest import TestCase, skip
from hw1cs561s2018 import Chess, Configuration, alphabeta_cutoff_search, minimax_decision
class TestChess(TestCase):
def test_evaluation(self):
configuration2 = Configuration(path=None)
configuration2.generate_configuration_from_string(
"""Circle
AL... | 19,076 | 732 | 23 |
ab8bb7e5f5c38a866610aeab2dfd90be6b13a3ea | 44,907 | py | Python | redun/backends/db/dataflow.py | cclauss/redun | 55792921b42b430571eafc30ab21eb50eb4f64b3 | [
"Apache-2.0"
] | null | null | null | redun/backends/db/dataflow.py | cclauss/redun | 55792921b42b430571eafc30ab21eb50eb4f64b3 | [
"Apache-2.0"
] | null | null | null | redun/backends/db/dataflow.py | cclauss/redun | 55792921b42b430571eafc30ab21eb50eb4f64b3 | [
"Apache-2.0"
] | null | null | null | """
Dataflow visualization.
An upstream dataflow visualization explains the derivation of a value. Take
for example this dataflow visualization of the derivation of a VCF file
from a bioinformatic analysis:
```
value = File(path=sample4.vcf, hash=********)
value <-- <********> call_variants(bam, ref_genome)
bam ... | 31.939545 | 99 | 0.628944 | """
Dataflow visualization.
An upstream dataflow visualization explains the derivation of a value. Take
for example this dataflow visualization of the derivation of a VCF file
from a bioinformatic analysis:
```
value = File(path=sample4.vcf, hash=********)
value <-- <********> call_variants(bam, ref_genome)
bam ... | 616 | 0 | 81 |
b0c91e83a9b74bb222678d78da749bca5e26d7a9 | 1,131 | py | Python | visualization_scripts/depth_distributions.py | crmauceri/pytorch-deeplab-xception | aec2cb7b0c09c346519c6bf22c2cbf419021fdc7 | [
"MIT"
] | 1 | 2021-12-11T08:21:19.000Z | 2021-12-11T08:21:19.000Z | visualization_scripts/depth_distributions.py | crmauceri/rgbd_deeplab | aec2cb7b0c09c346519c6bf22c2cbf419021fdc7 | [
"MIT"
] | null | null | null | visualization_scripts/depth_distributions.py | crmauceri/rgbd_deeplab | aec2cb7b0c09c346519c6bf22c2cbf419021fdc7 | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
import scipy.stats
import numpy as np
from tqdm import tqdm
from PIL import Image
from deeplab3.config.defaults import get_cfg_defaults
from dataloaders.utils import sample_distribution
from dataloaders.datasets.cityscapes import CityscapesSegmentation
from dataloaders.datasets.coco i... | 37.7 | 99 | 0.821397 | import matplotlib.pyplot as plt
import scipy.stats
import numpy as np
from tqdm import tqdm
from PIL import Image
from deeplab3.config.defaults import get_cfg_defaults
from dataloaders.utils import sample_distribution
from dataloaders.datasets.cityscapes import CityscapesSegmentation
from dataloaders.datasets.coco i... | 0 | 0 | 0 |
3934a4a0ed4d91e9682e7a523fecefc8304cc24f | 7,933 | py | Python | src/cc_catalog_airflow/dags/provider_api_scripts/test_walters_art_museum.py | gauravahlawat81/cccatalog | cabfa11c4e1d68c66390ed46649282b7d33e2c58 | [
"MIT"
] | 65 | 2018-05-25T00:47:18.000Z | 2021-11-30T05:58:43.000Z | src/cc_catalog_airflow/dags/provider_api_scripts/test_walters_art_museum.py | cc-archive/cccatalog | bc95ccc159ed7f1444d44e1db08d9a11a16c6d12 | [
"MIT"
] | 463 | 2018-05-01T14:35:42.000Z | 2021-06-11T20:32:50.000Z | src/cc_catalog_airflow/dags/provider_api_scripts/test_walters_art_museum.py | cc-archive/cccatalog | bc95ccc159ed7f1444d44e1db08d9a11a16c6d12 | [
"MIT"
] | 81 | 2018-05-05T20:33:12.000Z | 2021-04-28T02:23:10.000Z | import os
import json
import logging
import requests
from unittest.mock import patch, MagicMock
import walters_art_museum as wam
RESOURCES = os.path.join(
os.path.abspath(os.path.dirname(__file__)),
'tests/resources/waltersartmuseum'
)
logging.basicConfig(
format='%(asctime)s - %(name)s - %(levelname)s: ... | 32.646091 | 101 | 0.708307 | import os
import json
import logging
import requests
from unittest.mock import patch, MagicMock
import walters_art_museum as wam
RESOURCES = os.path.join(
os.path.abspath(os.path.dirname(__file__)),
'tests/resources/waltersartmuseum'
)
logging.basicConfig(
format='%(asctime)s - %(name)s - %(levelname)s: ... | 6,889 | 0 | 385 |
61df26516d0787ba8bcc1bd61f1621598a533158 | 89 | py | Python | program_files/__init__.py | Vinxenx/SESMG | ca8616ee2b175f949de737890d6f5cd4533f6ee7 | [
"MIT"
] | 13 | 2020-12-01T08:41:40.000Z | 2021-12-01T22:07:12.000Z | program_files/__init__.py | Vinxenx/SESMG | ca8616ee2b175f949de737890d6f5cd4533f6ee7 | [
"MIT"
] | 66 | 2020-08-07T10:34:12.000Z | 2022-03-31T13:07:07.000Z | program_files/__init__.py | Vinxenx/SESMG | ca8616ee2b175f949de737890d6f5cd4533f6ee7 | [
"MIT"
] | 6 | 2020-08-07T10:26:35.000Z | 2022-01-12T09:36:54.000Z | # -*- coding: utf-8 -*-
"""
Created on Tue Jan 14 09:35:53 2020
@author: Christian
"""
| 11.125 | 35 | 0.58427 | # -*- coding: utf-8 -*-
"""
Created on Tue Jan 14 09:35:53 2020
@author: Christian
"""
| 0 | 0 | 0 |
73716934c248a6b00656fef6bc54f715e7c1296c | 12,778 | py | Python | scripts/convert.py | kumasento/deacon | d9bf1adfc93d176930ddc43757eb039714c92657 | [
"MIT"
] | 2 | 2021-04-11T11:01:34.000Z | 2021-04-12T09:18:02.000Z | scripts/convert.py | kumasento/deacon | d9bf1adfc93d176930ddc43757eb039714c92657 | [
"MIT"
] | 3 | 2021-04-10T21:06:42.000Z | 2021-04-10T21:06:42.000Z | scripts/convert.py | kumasento/maxdeep | d9bf1adfc93d176930ddc43757eb039714c92657 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
""" Convert from pre-trained models. """
import argparse
import math
import os
import sys
from collections import OrderedDict
from dataclasses import dataclass
from typing import Dict
import numpy as np
import onnx
import toml
from onnx import shape_inference
from pydeacon.graph import (
D... | 36.824207 | 121 | 0.487792 | #!/usr/bin/env python3
""" Convert from pre-trained models. """
import argparse
import math
import os
import sys
from collections import OrderedDict
from dataclasses import dataclass
from typing import Dict
import numpy as np
import onnx
import toml
from onnx import shape_inference
from pydeacon.graph import (
D... | 11,919 | 90 | 275 |
47312b896ce1ded775eb5694ed034f119703f054 | 3,999 | py | Python | pma_api/utils.py | joeflack4/pma-api | de213833c93ad0c90b127188526c9eced31edc75 | [
"MIT"
] | 2 | 2018-08-24T14:27:25.000Z | 2020-05-11T18:59:24.000Z | pma_api/utils.py | joeflack4/pma-api | de213833c93ad0c90b127188526c9eced31edc75 | [
"MIT"
] | 36 | 2018-07-13T15:49:50.000Z | 2019-07-17T18:29:28.000Z | pma_api/utils.py | joeflack4/pma-api | de213833c93ad0c90b127188526c9eced31edc75 | [
"MIT"
] | 4 | 2018-07-12T19:24:52.000Z | 2021-03-09T16:08:38.000Z | """Assortment of utilities for application."""
import itertools
import operator
import os
import random
from typing import List
from flask_sqlalchemy import Model, SQLAlchemy
from pma_api.app import PmaApiFlask
B64_CHAR_SET = ''.join(('abcdefghijklmnopqrstuvwxyz',
'ABCDEFGHIJKLMNOPQRSTUVWXYZ'... | 23.946108 | 76 | 0.628657 | """Assortment of utilities for application."""
import itertools
import operator
import os
import random
from typing import List
from flask_sqlalchemy import Model, SQLAlchemy
from pma_api.app import PmaApiFlask
B64_CHAR_SET = ''.join(('abcdefghijklmnopqrstuvwxyz',
'ABCDEFGHIJKLMNOPQRSTUVWXYZ'... | 0 | 0 | 0 |
dce593f083f710d9b47b53386014bb2642bc2023 | 1,084 | py | Python | Projects/Online Workouts/w3resource/Basic - Part-I/program-81.py | ivenpoker/Python-Projects | 2975e1bd687ec8dbcc7a4842c13466cb86292679 | [
"MIT"
] | 1 | 2019-09-23T15:51:45.000Z | 2019-09-23T15:51:45.000Z | Projects/Online Workouts/w3resource/Basic - Part-I/program-81.py | ivenpoker/Python-Projects | 2975e1bd687ec8dbcc7a4842c13466cb86292679 | [
"MIT"
] | 5 | 2021-02-08T20:47:19.000Z | 2022-03-12T00:35:44.000Z | Projects/Online Workouts/w3resource/Basic - Part-I/program-81.py | ivenpoker/Python-Projects | 2975e1bd687ec8dbcc7a4842c13466cb86292679 | [
"MIT"
] | null | null | null | # !/usr/bin/env python3
#######################################################################################
# #
# Program purpose: Concatenates N-strings. #
# Program Author : Happi... | 40.148148 | 87 | 0.350554 | # !/usr/bin/env python3
#######################################################################################
# #
# Program purpose: Concatenates N-strings. #
# Program Author : Happi... | 188 | 0 | 23 |
83cdf744bb4105c7bd913cf6fac47cf20ff9faa7 | 1,741 | py | Python | python/test.py | MorenoJoshua/freeswitchManager | b1488f6c9e2a2e3008e758dde46ea9ca22fdec26 | [
"MIT"
] | null | null | null | python/test.py | MorenoJoshua/freeswitchManager | b1488f6c9e2a2e3008e758dde46ea9ca22fdec26 | [
"MIT"
] | null | null | null | python/test.py | MorenoJoshua/freeswitchManager | b1488f6c9e2a2e3008e758dde46ea9ca22fdec26 | [
"MIT"
] | null | null | null | import requests
import hmac
import hashlib
import datetime as dt
import simplejson as json
access_key = '80473469' # example
secret_key = 'GhDzk8Lc00xUzUjHFJqDqLztMNq5KMgU' # example
# Generate the X-Timestamp
t = dt.datetime.utcnow().replace(microsecond=0)
timestamp = t.isoformat()
timestamp = '2015-10-29T14:33:46'
... | 32.240741 | 129 | 0.731189 | import requests
import hmac
import hashlib
import datetime as dt
import simplejson as json
access_key = '80473469' # example
secret_key = 'GhDzk8Lc00xUzUjHFJqDqLztMNq5KMgU' # example
# Generate the X-Timestamp
t = dt.datetime.utcnow().replace(microsecond=0)
timestamp = t.isoformat()
timestamp = '2015-10-29T14:33:46'
... | 0 | 0 | 0 |
366c1976344b76f7e0aa3018661a6d511956da45 | 4,053 | py | Python | oecp/proxy/requests_proxy.py | openeuler-mirror/oecp | 967ed6b9e53f2da5f795f49bb5b5fc0423372863 | [
"MulanPSL-1.0"
] | null | null | null | oecp/proxy/requests_proxy.py | openeuler-mirror/oecp | 967ed6b9e53f2da5f795f49bb5b5fc0423372863 | [
"MulanPSL-1.0"
] | null | null | null | oecp/proxy/requests_proxy.py | openeuler-mirror/oecp | 967ed6b9e53f2da5f795f49bb5b5fc0423372863 | [
"MulanPSL-1.0"
] | null | null | null | # -*- encoding=utf-8 -*-
"""
# **********************************************************************************
# Copyright (c) Huawei Technologies Co., Ltd. 2020-2020. All rights reserved.
# [oecp] is licensed under the Mulan PSL v1.
# You can use this software according to the terms and conditions of the Mulan PSL ... | 30.022222 | 118 | 0.564767 | # -*- encoding=utf-8 -*-
"""
# **********************************************************************************
# Copyright (c) Huawei Technologies Co., Ltd. 2020-2020. All rights reserved.
# [oecp] is licensed under the Mulan PSL v1.
# You can use this software according to the terms and conditions of the Mulan PSL ... | 0 | 0 | 0 |
de17091d3df24d73c76bf0f93b09db5b447175d3 | 1,946 | py | Python | .vim/plugged/after/pythonx/my_snippet_helpers.py | sharils/home | bccac132b68d8d7cc46f21cae343b9ce99af6e01 | [
"Unlicense"
] | 3 | 2018-08-03T11:58:44.000Z | 2019-12-12T14:44:36.000Z | .vim/plugged/after/pythonx/my_snippet_helpers.py | sharils/home | bccac132b68d8d7cc46f21cae343b9ce99af6e01 | [
"Unlicense"
] | 1 | 2020-08-02T01:14:37.000Z | 2020-08-02T01:15:27.000Z | .vim/plugged/after/pythonx/my_snippet_helpers.py | sharils/home | bccac132b68d8d7cc46f21cae343b9ce99af6e01 | [
"Unlicense"
] | 1 | 2019-03-02T10:08:10.000Z | 2019-03-02T10:08:10.000Z | import re
import os
import vim
| 27.408451 | 112 | 0.666495 | import re
import os
import vim
def around_assign(snip):
return '=' in snip.buffer[snip.line]
def around_catch(snip):
return 'catch' in snip.buffer[snip.line - 1]
def around_class(snip):
return 'class' in snip.buffer[snip.line]
def around_const_let_var(snip):
return re.search('const|let|var', snip.bu... | 1,432 | 0 | 483 |
681bb0f26e4f2b6b3ed857eda5a41e22243ccaba | 3,488 | py | Python | angr/procedures/definitions/win32_api-ms-win-wsl-api-l1-1-0.py | r4b3rt/angr | c133cfd4f83ffea2a1d9e064241e9459eaabc55f | [
"BSD-2-Clause"
] | null | null | null | angr/procedures/definitions/win32_api-ms-win-wsl-api-l1-1-0.py | r4b3rt/angr | c133cfd4f83ffea2a1d9e064241e9459eaabc55f | [
"BSD-2-Clause"
] | null | null | null | angr/procedures/definitions/win32_api-ms-win-wsl-api-l1-1-0.py | r4b3rt/angr | c133cfd4f83ffea2a1d9e064241e9459eaabc55f | [
"BSD-2-Clause"
] | null | null | null | # pylint:disable=line-too-long
import logging
from ...sim_type import SimTypeFunction, SimTypeShort, SimTypeInt, SimTypeLong, SimTypeLongLong, SimTypeDouble, SimTypeFloat, SimTypePointer, SimTypeChar, SimStruct, SimTypeFixedSizeArray, SimTypeBottom, SimUnion, SimTypeBool
from ...calling... | 96.888889 | 706 | 0.746273 | # pylint:disable=line-too-long
import logging
from ...sim_type import SimTypeFunction, SimTypeShort, SimTypeInt, SimTypeLong, SimTypeLongLong, SimTypeDouble, SimTypeFloat, SimTypePointer, SimTypeChar, SimStruct, SimTypeFixedSizeArray, SimTypeBottom, SimUnion, SimTypeBool
from ...calling... | 0 | 0 | 0 |