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1c42ef0d6619bccee045b8194559a4e329ad636f | 2,325 | py | Python | securitybot/auth/auth.py | gyrospectre/securitybot | 90db2ae532667c48ca080108b895c2e1fe16b1e8 | [
"Apache-2.0"
] | 3 | 2020-10-09T04:46:15.000Z | 2021-12-30T10:12:37.000Z | securitybot/auth/auth.py | gyrospectre/securitybot | 90db2ae532667c48ca080108b895c2e1fe16b1e8 | [
"Apache-2.0"
] | null | null | null | securitybot/auth/auth.py | gyrospectre/securitybot | 90db2ae532667c48ca080108b895c2e1fe16b1e8 | [
"Apache-2.0"
] | 1 | 2020-08-11T19:28:13.000Z | 2020-08-11T19:28:13.000Z | '''
An authentication object for doing 2FA on Slack users.
'''
__author__ = 'Alex Bertsch, Antoine Cardon'
__email__ = 'abertsch@dropbox.com, antoine.cardon@algolia.com'
import pytz
from datetime import datetime, timedelta
from abc import ABCMeta, abstractmethod
from enum import Enum, unique
@unique
class AuthSta... | 25.833333 | 75 | 0.615484 | __author__ = 'Alex Bertsch, Antoine Cardon'
__email__ = 'abertsch@dropbox.com, antoine.cardon@algolia.com'
import pytz
from datetime import datetime, timedelta
from abc import ABCMeta, abstractmethod
from enum import Enum, unique
@unique
class AuthStates(Enum):
NONE = 1
PENDING = 2
AUTHORIZED = 3
... | true | true |
1c42efec5fd44741cee47e37a2eb70dd452d2d50 | 622 | py | Python | pcap3103/inhertiance_lab/employee.py | owaishanif786/python | 212d626e10bebf161ee123459dc5f0384d9540ac | [
"MIT"
] | null | null | null | pcap3103/inhertiance_lab/employee.py | owaishanif786/python | 212d626e10bebf161ee123459dc5f0384d9540ac | [
"MIT"
] | null | null | null | pcap3103/inhertiance_lab/employee.py | owaishanif786/python | 212d626e10bebf161ee123459dc5f0384d9540ac | [
"MIT"
] | null | null | null | class Employee:
def __init__(self, name, title, email_address, phone_number=''):
self.name = name
self.title = title
self.email_address = email_address
self.phone_number = phone_number
def email_signature(self, include_phone=False):
signature = f'{self.name}\n{self.t... | 34.555556 | 72 | 0.633441 | class Employee:
def __init__(self, name, title, email_address, phone_number=''):
self.name = name
self.title = title
self.email_address = email_address
self.phone_number = phone_number
def email_signature(self, include_phone=False):
signature = f'{self.name}\n{self.t... | true | true |
1c42eff9feef990ed123d1f30a221e445dc6734a | 1,000 | py | Python | OpenCV2/Feature_Detection_and_Description/Corner_Detection_with_Shi-Tomasi_coner_method.py | siddharth-143/Python | 293f4643a3a13e3b82d23fd8922db54dbb0f12bc | [
"MIT"
] | null | null | null | OpenCV2/Feature_Detection_and_Description/Corner_Detection_with_Shi-Tomasi_coner_method.py | siddharth-143/Python | 293f4643a3a13e3b82d23fd8922db54dbb0f12bc | [
"MIT"
] | null | null | null | OpenCV2/Feature_Detection_and_Description/Corner_Detection_with_Shi-Tomasi_coner_method.py | siddharth-143/Python | 293f4643a3a13e3b82d23fd8922db54dbb0f12bc | [
"MIT"
] | null | null | null | """
Corner Detection with Shi-Tomasi Coner Detection method
"""
# Python progran to illustrate
# corner detection with
# Shi-Tomasi detection method
# organizing imports
import cv2
import numpy as np
import matplotlib.pyplot as plt
# path to input image specified and
# image is loaded with imread command
img = ... | 24.390244 | 59 | 0.729 |
import cv2
import numpy as np
import matplotlib.pyplot as plt
img = cv2.imread("../images/1.jpeg")
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
corner = cv2.goodFeaturesToTrack(gray, 100, 0.01, 10)
corner = np.int0(corner)
for i in corner:
x, y = i.ravel()
cv2.circle(img, (x, y), 3, (255, 0, 0), -1)
plt... | true | true |
1c42f07b5d8264b529a6f72cf2bb73a8a179756e | 1,152 | py | Python | twitter-clone/twitter/migrations/0004_auto_20201003_1527.py | Mlitwin98/twitter-clone | 4fbe754a4693c39ac4e9623f51ca42a7facecd2e | [
"MIT"
] | null | null | null | twitter-clone/twitter/migrations/0004_auto_20201003_1527.py | Mlitwin98/twitter-clone | 4fbe754a4693c39ac4e9623f51ca42a7facecd2e | [
"MIT"
] | null | null | null | twitter-clone/twitter/migrations/0004_auto_20201003_1527.py | Mlitwin98/twitter-clone | 4fbe754a4693c39ac4e9623f51ca42a7facecd2e | [
"MIT"
] | null | null | null | # Generated by Django 3.1 on 2020-10-03 13:27
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('twitter', '0003_auto_20201001_1902'),
]
operations = [
migrations.AlterField(
model_name='profile... | 34.909091 | 145 | 0.614583 |
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('twitter', '0003_auto_20201001_1902'),
]
operations = [
migrations.AlterField(
model_name='profile',
name='backgroundPic',
... | true | true |
1c42f1ef23137c020f34bcdfca0a32d2cb13fcd5 | 22,575 | py | Python | captoolkit/fittopo.py | tsutterley/captoolkit | 314c4d34f49012c25286478c943b0ab13c893c62 | [
"Apache-2.0"
] | 37 | 2019-09-27T00:36:16.000Z | 2022-01-31T01:51:19.000Z | captoolkit/fittopo.py | tsutterley/captoolkit | 314c4d34f49012c25286478c943b0ab13c893c62 | [
"Apache-2.0"
] | 3 | 2020-02-27T21:22:50.000Z | 2020-10-14T01:31:26.000Z | captoolkit/fittopo.py | tsutterley/captoolkit | 314c4d34f49012c25286478c943b0ab13c893c62 | [
"Apache-2.0"
] | 15 | 2019-09-24T08:06:49.000Z | 2021-11-03T14:44:19.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Surface topography detrending of satellite and airborne altimetry
Program computes surface elevation residuals, containing only the temporal
component, by removing the static topography.
Depending on the number of observations in each solution one of three ... | 29.821664 | 92 | 0.548439 |
import warnings
warnings.filterwarnings("ignore")
import os
import h5py
import pyproj
import argparse
import numpy as np
import statsmodels.api as sm
from datetime import datetime
from scipy.spatial import cKDTree
from statsmodels.robust.scale import mad
DXY = [1, 1]
RADIUS = [1]
MINOBS = 10
NIT... | true | true |
1c42f38988b5a53094b719ae7fa6eb2c0afc8857 | 3,836 | py | Python | plugins/opsgenie/unit_test/test_get_alert.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | null | null | null | plugins/opsgenie/unit_test/test_get_alert.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | null | null | null | plugins/opsgenie/unit_test/test_get_alert.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | null | null | null | import os
import sys
from parameterized import parameterized
sys.path.append(os.path.abspath("../"))
import logging
from unittest import TestCase, mock
from icon_opsgenie.actions.get_alert import GetAlert
from icon_opsgenie.actions.get_alert.schema import Output
from icon_opsgenie.connection.connection import Connec... | 38.36 | 116 | 0.584724 | import os
import sys
from parameterized import parameterized
sys.path.append(os.path.abspath("../"))
import logging
from unittest import TestCase, mock
from icon_opsgenie.actions.get_alert import GetAlert
from icon_opsgenie.actions.get_alert.schema import Output
from icon_opsgenie.connection.connection import Connec... | true | true |
1c42f3a0f4bbec1276b69d459965972429089a10 | 9,230 | py | Python | .circleci/cimodel/data/pytorch_build_data.py | arpancodes/pytorch | a3bbaf227cc549c49245e310f11788b98eef30ee | [
"Intel"
] | null | null | null | .circleci/cimodel/data/pytorch_build_data.py | arpancodes/pytorch | a3bbaf227cc549c49245e310f11788b98eef30ee | [
"Intel"
] | null | null | null | .circleci/cimodel/data/pytorch_build_data.py | arpancodes/pytorch | a3bbaf227cc549c49245e310f11788b98eef30ee | [
"Intel"
] | null | null | null | from cimodel.lib.conf_tree import ConfigNode, X, XImportant
CONFIG_TREE_DATA = [
("xenial", [
("gcc", [
("5.4", [ # All this subtree rebases to master and then build
("3.6", [
("important", [X(True)]),
]),
]),
# TODO:... | 27.801205 | 98 | 0.617118 | from cimodel.lib.conf_tree import ConfigNode, X, XImportant
CONFIG_TREE_DATA = [
("xenial", [
("gcc", [
("5.4", [ ("3.6", [
("important", [X(True)]),
]),
]),
("7", [X("3.6")]),
]),
("cuda",... | true | true |
1c42f453dc61493c822c1f5baa4db34c6debf8e9 | 60,101 | py | Python | mne/dipole.py | lokinou/mne-python | f4aa12bc9118d0739ca05c5ed5a4fba7ae71138b | [
"BSD-3-Clause"
] | null | null | null | mne/dipole.py | lokinou/mne-python | f4aa12bc9118d0739ca05c5ed5a4fba7ae71138b | [
"BSD-3-Clause"
] | null | null | null | mne/dipole.py | lokinou/mne-python | f4aa12bc9118d0739ca05c5ed5a4fba7ae71138b | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""Single-dipole functions and classes."""
# Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Eric Larson <larson.eric.d@gmail.com>
#
# License: Simplified BSD
from copy import deepcopy
import functools
from functools import partial
import re
import numpy as np
from .cov ... | 37.586617 | 79 | 0.561987 |
from copy import deepcopy
import functools
from functools import partial
import re
import numpy as np
from .cov import compute_whitener, _ensure_cov
from .io.constants import FIFF
from .io.pick import pick_types
from .io.proj import make_projector, _needs_eeg_average_ref_proj
from .bem import _fit_sphere
from .evok... | true | true |
1c42f4881546fdb2733d87e1b791f656d9e9c56d | 57,266 | py | Python | numpy/polynomial/legendre.py | tovrstra/numpy | bb5d666e84e2eb294543a67c6143d7e9124d1c73 | [
"BSD-3-Clause"
] | null | null | null | numpy/polynomial/legendre.py | tovrstra/numpy | bb5d666e84e2eb294543a67c6143d7e9124d1c73 | [
"BSD-3-Clause"
] | null | null | null | numpy/polynomial/legendre.py | tovrstra/numpy | bb5d666e84e2eb294543a67c6143d7e9124d1c73 | [
"BSD-3-Clause"
] | null | null | null | """
Legendre Series (:mod: `numpy.polynomial.legendre`)
===================================================
.. currentmodule:: numpy.polynomial.polynomial
This module provides a number of objects (mostly functions) useful for
dealing with Legendre series, including a `Legendre` class that
encapsulates the usual arith... | 31.292896 | 79 | 0.596043 | from __future__ import division, absolute_import, print_function
import warnings
import numpy as np
import numpy.linalg as la
from numpy.core.multiarray import normalize_axis_index
from . import polyutils as pu
from ._polybase import ABCPolyBase
__all__ = [
'legzero', 'legone', 'legx', 'legdomain', 'legline', 'l... | true | true |
1c42f6b45d30734090b1df60499e01a2ab06be4b | 1,635 | py | Python | tmp/visualize_vggface.py | seonho/facenet | c4de25b04b76dc4d16ebe7a328cac27f220040e4 | [
"MIT"
] | 12 | 2017-11-01T12:35:47.000Z | 2020-02-26T19:41:30.000Z | tmp/visualize_vggface.py | KittenCN/pyFaceNet | 0804d06a3533a83ff865a3c4343cfca2a5cbe063 | [
"MIT"
] | 8 | 2017-12-05T23:45:54.000Z | 2022-02-09T23:28:51.000Z | tmp/visualize_vggface.py | KittenCN/pyFaceNet | 0804d06a3533a83ff865a3c4343cfca2a5cbe063 | [
"MIT"
] | 6 | 2017-09-09T12:22:53.000Z | 2019-12-17T07:54:18.000Z | import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
import vggface16
def main():
sess = tf.Session()
t_input = tf.placeholder(np.float32, name='input') # define the input tensor
image_mean = 117.0
t_preprocessed = tf.expand_dims(t_input-image_mean, 0)
# Build the ... | 32.7 | 97 | 0.659939 | import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
import vggface16
def main():
sess = tf.Session()
t_input = tf.placeholder(np.float32, name='input') image_mean = 117.0
t_preprocessed = tf.expand_dims(t_input-image_mean, 0)
nodes = vggface16.load('../data/vg... | true | true |
1c42f8a174a74c0673de846fda4cbf3a2ae15373 | 28,177 | py | Python | django/contrib/contenttypes/fields.py | peteralexandercharles/django | 61c7350f41f2534daf3888709f3c987b7d779a29 | [
"BSD-3-Clause",
"0BSD"
] | null | null | null | django/contrib/contenttypes/fields.py | peteralexandercharles/django | 61c7350f41f2534daf3888709f3c987b7d779a29 | [
"BSD-3-Clause",
"0BSD"
] | null | null | null | django/contrib/contenttypes/fields.py | peteralexandercharles/django | 61c7350f41f2534daf3888709f3c987b7d779a29 | [
"BSD-3-Clause",
"0BSD"
] | null | null | null | import functools
import itertools
from collections import defaultdict
from django.contrib.contenttypes.models import ContentType
from django.core import checks
from django.core.exceptions import FieldDoesNotExist, ObjectDoesNotExist
from django.db import DEFAULT_DB_ALIAS, models, router, transaction
from django.db.mod... | 36.97769 | 88 | 0.578876 | import functools
import itertools
from collections import defaultdict
from django.contrib.contenttypes.models import ContentType
from django.core import checks
from django.core.exceptions import FieldDoesNotExist, ObjectDoesNotExist
from django.db import DEFAULT_DB_ALIAS, models, router, transaction
from django.db.mod... | true | true |
1c42f8f82a8febca13297af39b3d0800744f2bf8 | 118 | py | Python | libtad/common/__init__.py | timeanddate/libtad-python | 8c3b14578ed1f5f5e79cc83b415433f59e39814f | [
"MIT"
] | 2 | 2022-01-14T11:35:50.000Z | 2022-03-07T04:20:14.000Z | libtad/common/__init__.py | timeanddate/libtad-python | 8c3b14578ed1f5f5e79cc83b415433f59e39814f | [
"MIT"
] | null | null | null | libtad/common/__init__.py | timeanddate/libtad-python | 8c3b14578ed1f5f5e79cc83b415433f59e39814f | [
"MIT"
] | null | null | null | __all__ = ["exceptions"]
from . import exceptions
from .xml_utils import XmlUtils
def __dir__():
return __all__
| 14.75 | 31 | 0.737288 | __all__ = ["exceptions"]
from . import exceptions
from .xml_utils import XmlUtils
def __dir__():
return __all__
| true | true |
1c42f9379e2d32367bc0fd48e0a3dddb47acabc8 | 14,990 | py | Python | Packs/rasterize/Integrations/rasterize/rasterize.py | ArmatureSystems/content | ff7b2a9dc1900b0473cdf9efa6527fe32a21fcb7 | [
"MIT"
] | 1 | 2020-07-22T05:55:11.000Z | 2020-07-22T05:55:11.000Z | Packs/rasterize/Integrations/rasterize/rasterize.py | nicoloereni/content | ddb88044c5b39a17894dd13e7ae260d9854afc30 | [
"MIT"
] | null | null | null | Packs/rasterize/Integrations/rasterize/rasterize.py | nicoloereni/content | ddb88044c5b39a17894dd13e7ae260d9854afc30 | [
"MIT"
] | 2 | 2020-07-15T06:41:52.000Z | 2020-07-19T18:45:23.000Z | import demistomock as demisto
from CommonServerPython import *
from CommonServerUserPython import *
from selenium import webdriver
from selenium.common.exceptions import NoSuchElementException, InvalidArgumentException, TimeoutException
from PyPDF2 import PdfFileReader
from pdf2image import convert_from_path
import nu... | 36.2954 | 151 | 0.651701 | import demistomock as demisto
from CommonServerPython import *
from CommonServerUserPython import *
from selenium import webdriver
from selenium.common.exceptions import NoSuchElementException, InvalidArgumentException, TimeoutException
from PyPDF2 import PdfFileReader
from pdf2image import convert_from_path
import nu... | true | true |
1c42fa84f38c1e3b6406c4513c46d997acdfc98f | 4,904 | py | Python | testsuite/tiff-suite/run.py | Alexander-Murashko/oiio | 2cb95cf674e6cb085eb14614c428535ed2b8989b | [
"BSD-3-Clause"
] | 1 | 2018-02-06T23:58:03.000Z | 2018-02-06T23:58:03.000Z | testsuite/tiff-suite/run.py | Alexander-Murashko/oiio | 2cb95cf674e6cb085eb14614c428535ed2b8989b | [
"BSD-3-Clause"
] | null | null | null | testsuite/tiff-suite/run.py | Alexander-Murashko/oiio | 2cb95cf674e6cb085eb14614c428535ed2b8989b | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/python
import os
import sys
path = ""
cmdpath = ""
command = ""
if len(sys.argv) > 2 :
os.chdir (sys.argv[1])
path = sys.argv[2] + "/"
cmdpath = sys.argv[2] + "/"
sys.path = [".."] + sys.path
import runtest
# Start off
hi = "echo hi"
command = hi + "> out.txt"
imagedir = "../../../libtiffpi... | 39.232 | 81 | 0.684339 |
import os
import sys
path = ""
cmdpath = ""
command = ""
if len(sys.argv) > 2 :
os.chdir (sys.argv[1])
path = sys.argv[2] + "/"
cmdpath = sys.argv[2] + "/"
sys.path = [".."] + sys.path
import runtest
hi = "echo hi"
command = hi + "> out.txt"
imagedir = "../../../libtiffpic"
command = command + "; " ... | true | true |
1c42fbb78065bfe027c807c64b143bd34d0b208a | 1,151 | py | Python | globaltechmap/spider/mysqltest.py | kcdyx1/python_study | abba84b98382c253dbf07b122a33d273c7e11832 | [
"MIT"
] | 1 | 2018-01-16T12:52:18.000Z | 2018-01-16T12:52:18.000Z | globaltechmap/spider/mysqltest.py | kcdyx1/python_study | abba84b98382c253dbf07b122a33d273c7e11832 | [
"MIT"
] | null | null | null | globaltechmap/spider/mysqltest.py | kcdyx1/python_study | abba84b98382c253dbf07b122a33d273c7e11832 | [
"MIT"
] | null | null | null | # coding:utf8
import pymysql
conn = pymysql.connect(host ='localhost', port =8889, user ='root', password ='root', db='globaltechmap', charset='utf8')
cursor = conn.cursor()
fields ={
'hy':'haiyang',
'hk': 'hangkong',
'ht': 'hangtian',
'kjzl':'kejizhanlue',
'ny': 'nengyuan',
... | 26.767442 | 143 | 0.585578 |
import pymysql
conn = pymysql.connect(host ='localhost', port =8889, user ='root', password ='root', db='globaltechmap', charset='utf8')
cursor = conn.cursor()
fields ={
'hy':'haiyang',
'hk': 'hangkong',
'ht': 'hangtian',
'kjzl':'kejizhanlue',
'ny': 'nengyuan',
'sw': '... | true | true |
1c42fbea0630646e6a4b682a02e2eab311edb52b | 1,191 | py | Python | .history/postImages/index_20201006200308.py | Lambda-School-Labs/Labs27-C-Bridges-To-Prosperity-BE | 9a8289d8550115362c46dea3ed8570b789c09a10 | [
"MIT"
] | 2 | 2020-10-21T22:14:15.000Z | 2020-10-21T22:14:16.000Z | .history/postImages/index_20201006200308.py | Lambda-School-Labs/Labs27-C-Bridges-To-Prosperity-BE | 9a8289d8550115362c46dea3ed8570b789c09a10 | [
"MIT"
] | null | null | null | .history/postImages/index_20201006200308.py | Lambda-School-Labs/Labs27-C-Bridges-To-Prosperity-BE | 9a8289d8550115362c46dea3ed8570b789c09a10 | [
"MIT"
] | null | null | null | import csv
import requests
df = open("bridgeData3.csv",'r').readlines()
fin = open('final.csv','r').readlines()
finCsv = fin[1:]
# url = https://b2ptc.herokuapp.com/bridges
finalCsv = df[1:]
obj = {}
for i in finalCsv:
x = i.split(',')
obj[x[1]] = {'bridge_name':x[0],'proj_code':x[1],'before_img':x[2],'after_im... | 27.068182 | 97 | 0.507976 | import csv
import requests
df = open("bridgeData3.csv",'r').readlines()
fin = open('final.csv','r').readlines()
finCsv = fin[1:]
finalCsv = df[1:]
obj = {}
for i in finalCsv:
x = i.split(',')
obj[x[1]] = {'bridge_name':x[0],'proj_code':x[1],'before_img':x[2],'after_img':x[3]}
for i in finCsv:
x = i.split('... | true | true |
1c42fbf1f6d7882fb4b9943cfb6e134d08583539 | 4,860 | py | Python | espnet2/bin/enh_scoring.py | YoshikiMas/espnet | 793b999a50af484a5eaf6227ef7556b48514ef15 | [
"Apache-2.0"
] | 1 | 2022-03-25T14:41:05.000Z | 2022-03-25T14:41:05.000Z | espnet2/bin/enh_scoring.py | YoshikiMas/espnet | 793b999a50af484a5eaf6227ef7556b48514ef15 | [
"Apache-2.0"
] | 2 | 2019-04-23T04:43:33.000Z | 2019-05-13T13:06:52.000Z | espnet2/bin/enh_scoring.py | YoshikiMas/espnet | 793b999a50af484a5eaf6227ef7556b48514ef15 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import argparse
import logging
import sys
from typing import List
from typing import Union
from mir_eval.separation import bss_eval_sources
import numpy as np
from pystoi import stoi
import torch
from typeguard import check_argument_types
from espnet.utils.cli_utils import get_commandline_args
... | 31.764706 | 88 | 0.595473 | import argparse
import logging
import sys
from typing import List
from typing import Union
from mir_eval.separation import bss_eval_sources
import numpy as np
from pystoi import stoi
import torch
from typeguard import check_argument_types
from espnet.utils.cli_utils import get_commandline_args
from espnet2.enh.loss.c... | true | true |
1c42fc7046524a05a271e4cee68795d8a5e6bfa8 | 1,012 | py | Python | examples/212_configuration.py | djprohasky/workshop_swinburne_2021 | 596eb12595ef7c2522dc8e03163e917ca43d2a0a | [
"MIT"
] | 3 | 2021-06-15T05:51:38.000Z | 2021-06-16T11:07:15.000Z | examples/212_configuration.py | djprohasky/workshop_swinburne_2021 | 596eb12595ef7c2522dc8e03163e917ca43d2a0a | [
"MIT"
] | 3 | 2021-06-16T10:27:09.000Z | 2021-06-17T02:37:04.000Z | examples/212_configuration.py | djprohasky/workshop_swinburne_2021 | 596eb12595ef7c2522dc8e03163e917ca43d2a0a | [
"MIT"
] | 3 | 2021-06-15T12:43:22.000Z | 2021-06-16T11:01:38.000Z | # Units:
# - Revolute joint : radiants
# - Prismatic joint: meters
import math
from compas.robots.model import Joint
from compas.robots import Configuration
print('Default constructor')
print (Configuration([math.pi, 4], [Joint.REVOLUTE, Joint.PRISMATIC]))
print (Configuration([math.pi, 4], [Joint.REVOLUTE, Joint.P... | 34.896552 | 99 | 0.751976 |
import math
from compas.robots.model import Joint
from compas.robots import Configuration
print('Default constructor')
print (Configuration([math.pi, 4], [Joint.REVOLUTE, Joint.PRISMATIC]))
print (Configuration([math.pi, 4], [Joint.REVOLUTE, Joint.PRISMATIC], ['joint_1', 'ext_axis_1']))
print()
print('Construct from... | true | true |
1c42fd85841e575161a3c0be5d85f83a9ef49d74 | 2,485 | py | Python | tests/test_data/test_datasets/test_dota.py | open-mmlab/mmrotate | e22c8dfa3c309aa68ff18a5a03316f69c6eb2880 | [
"Apache-2.0"
] | 449 | 2022-02-18T08:26:58.000Z | 2022-03-31T11:58:32.000Z | tests/test_data/test_datasets/test_dota.py | open-mmlab/mmrotate | e22c8dfa3c309aa68ff18a5a03316f69c6eb2880 | [
"Apache-2.0"
] | 162 | 2022-02-18T09:54:46.000Z | 2022-03-31T15:40:46.000Z | tests/test_data/test_datasets/test_dota.py | open-mmlab/mmrotate | e22c8dfa3c309aa68ff18a5a03316f69c6eb2880 | [
"Apache-2.0"
] | 98 | 2022-02-18T08:28:48.000Z | 2022-03-31T08:52:11.000Z | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import shutil
import tempfile
import numpy as np
import pytest
from mmdet.datasets import build_dataset
from mmrotate.datasets.dota import DOTADataset
def _create_dummy_results():
"""Create dummy results."""
boxes = [
np.array([[4... | 33.581081 | 79 | 0.622133 | import os.path as osp
import shutil
import tempfile
import numpy as np
import pytest
from mmdet.datasets import build_dataset
from mmrotate.datasets.dota import DOTADataset
def _create_dummy_results():
boxes = [
np.array([[4.3150e+02, 7.0600e+02, 6.7686e+01, 2.1990e+01, 2.9842e-02],
[5... | true | true |
1c42ff8dc3c1f00d3bba87404fc084001a8de8d3 | 1,539 | py | Python | misc/batch_sampler.py | dkkim93/pytorch-maml | 039e7ecf9b3d0b7543ebceb31a6443cc5516779a | [
"MIT"
] | null | null | null | misc/batch_sampler.py | dkkim93/pytorch-maml | 039e7ecf9b3d0b7543ebceb31a6443cc5516779a | [
"MIT"
] | null | null | null | misc/batch_sampler.py | dkkim93/pytorch-maml | 039e7ecf9b3d0b7543ebceb31a6443cc5516779a | [
"MIT"
] | null | null | null | import copy
import torch
import multiprocessing as mp
from misc.utils import make_env
from misc.batch_episode import BatchEpisode
from env.subproc_vec_env import SubprocVecEnv
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
class BatchSampler(object):
def __init__(self, args):
self.... | 31.408163 | 91 | 0.638077 | import copy
import torch
import multiprocessing as mp
from misc.utils import make_env
from misc.batch_episode import BatchEpisode
from env.subproc_vec_env import SubprocVecEnv
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
class BatchSampler(object):
def __init__(self, args):
self.... | true | true |
1c42ffc6656a8ee02b871d02dbb7cb8e0157fbfd | 1,356 | py | Python | music/migrations/0009_auto_20200627_1107.py | amin-da71/Benbb96 | 0c9e37425d0665e403ba6fecf0c4b17669c29ada | [
"MIT"
] | null | null | null | music/migrations/0009_auto_20200627_1107.py | amin-da71/Benbb96 | 0c9e37425d0665e403ba6fecf0c4b17669c29ada | [
"MIT"
] | 13 | 2021-02-13T20:15:18.000Z | 2022-03-11T23:57:07.000Z | music/migrations/0009_auto_20200627_1107.py | amin-da71/Benbb96 | 0c9e37425d0665e403ba6fecf0c4b17669c29ada | [
"MIT"
] | null | null | null | # Generated by Django 2.2.12 on 2020-06-27 09:07
from django.db import migrations, models
from slugify import slugify
def create_slug(apps, schema_editor):
Style = apps.get_model("music", "Style")
db_alias = schema_editor.connection.alias
for style in Style.objects.using(db_alias).all():
style.sl... | 27.673469 | 69 | 0.584808 |
from django.db import migrations, models
from slugify import slugify
def create_slug(apps, schema_editor):
Style = apps.get_model("music", "Style")
db_alias = schema_editor.connection.alias
for style in Style.objects.using(db_alias).all():
style.slug = slugify(style.nom)
style.save(update... | true | true |
1c42ffd5207a56ae5d33a0921a3287201d66da0d | 4,467 | py | Python | uplink/converters/typing_.py | kamalgill/uplink | 3ade04d230d578690ccf2c3833aedc4ac9d895c3 | [
"MIT"
] | 918 | 2017-10-20T10:47:40.000Z | 2022-03-27T19:10:21.000Z | uplink/converters/typing_.py | kamalgill/uplink | 3ade04d230d578690ccf2c3833aedc4ac9d895c3 | [
"MIT"
] | 248 | 2017-10-20T03:58:20.000Z | 2022-03-13T18:39:16.000Z | uplink/converters/typing_.py | kamalgill/uplink | 3ade04d230d578690ccf2c3833aedc4ac9d895c3 | [
"MIT"
] | 66 | 2017-10-21T02:56:34.000Z | 2022-02-15T08:27:50.000Z | # Standard library imports
import collections
from collections import abc
import functools
# Local imports
from uplink.converters import interfaces, register_default_converter_factory
__all__ = ["TypingConverter", "ListConverter", "DictConverter"]
class BaseTypeConverter(object):
Builder = collections.namedtupl... | 33.335821 | 76 | 0.67786 | import collections
from collections import abc
import functools
from uplink.converters import interfaces, register_default_converter_factory
__all__ = ["TypingConverter", "ListConverter", "DictConverter"]
class BaseTypeConverter(object):
Builder = collections.namedtuple("Builder", "build")
@classmethod
... | true | true |
1c42ffe2341cdbc1c2a3b71c9787f8475747b71a | 869 | py | Python | ts/torch_handler/request_envelope/base.py | KYKong1997/serve | ce3348d8ba6ee2a02ec171ba1cd984c0cadcc4ac | [
"Apache-2.0"
] | null | null | null | ts/torch_handler/request_envelope/base.py | KYKong1997/serve | ce3348d8ba6ee2a02ec171ba1cd984c0cadcc4ac | [
"Apache-2.0"
] | 1 | 2020-06-19T06:11:19.000Z | 2020-06-19T06:11:19.000Z | ts/torch_handler/request_envelope/base.py | gunandrose4u/serve | 7b25f2b5aff08fa53d656a61b6a2f5127736c9f2 | [
"Apache-2.0"
] | null | null | null | """
Base class for all RequestEnvelope.
A request envelope reformats the inputs/outputs of a call to a handler.
It translates from formats specific to a model orchestrator like Seldon or
KFServing to a set of flat Python items, and vice versa.
"""
from abc import ABC, abstractmethod
class BaseEnvelope(ABC):
"""
... | 23.486486 | 74 | 0.669735 |
from abc import ABC, abstractmethod
class BaseEnvelope(ABC):
def __init__(self, handle_fn):
self._handle_fn = handle_fn
def handle(self, data, context):
if data:
data = self.parse_input(data)
results = self._handle_fn(data, context)
if results:
result... | true | true |
1c42fff8091fe2db9607f1770bc96be7dac389e4 | 48,256 | py | Python | modeling.py | pingheng001/Cnn-Bert | d2be31634d693fbbe3b4bf2b28eb83af015cda72 | [
"Apache-2.0"
] | null | null | null | modeling.py | pingheng001/Cnn-Bert | d2be31634d693fbbe3b4bf2b28eb83af015cda72 | [
"Apache-2.0"
] | null | null | null | modeling.py | pingheng001/Cnn-Bert | d2be31634d693fbbe3b4bf2b28eb83af015cda72 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
#
# 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 ... | 38.947538 | 104 | 0.69266 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
import copy
import json
import math
import re
import numpy as np
import six
import tensorflow as tf
class BertConfig(object):
def __init__(self,
vocab_size,
... | true | true |
1c4301397a55a47bf1f513bcb7d40a739fba14ec | 2,984 | py | Python | KNN/KNN.py | bserranoanton/Machine-learning | 093f77a9317c68649c5b0aad32b9e53170700a11 | [
"MIT"
] | null | null | null | KNN/KNN.py | bserranoanton/Machine-learning | 093f77a9317c68649c5b0aad32b9e53170700a11 | [
"MIT"
] | null | null | null | KNN/KNN.py | bserranoanton/Machine-learning | 093f77a9317c68649c5b0aad32b9e53170700a11 | [
"MIT"
] | null | null | null | # k-nn algorithm
# Álvaro García Tenorio, Belén Serrano Antón
import operator
import math
class KNN:
#This module contains the basic functions to implement the KNN algorithm
# trainData represents the points we use to train the algorithm
#by [coord1,..., coordn, "class"]
# k is the num... | 38.753247 | 77 | 0.586126 |
import operator
import math
class KNN:
def __init__(self, trainData, k):
self.trainingData = trainData
self.k = k
def euclideanDistance(self,point1, point2, length):
distance = 0
for i in range(length):
distance += pow((point1[i] -... | true | true |
1c43014cf936d0e9e17435d3daa2068d346de02e | 2,010 | py | Python | ropper/common/abstract.py | cbayet/Ropper | 66adeb0a1d4322ced69643c3be2552c057d116d2 | [
"BSD-3-Clause"
] | 1,502 | 2015-01-07T09:11:08.000Z | 2022-03-29T10:08:26.000Z | ropper/common/abstract.py | cbayet/Ropper | 66adeb0a1d4322ced69643c3be2552c057d116d2 | [
"BSD-3-Clause"
] | 126 | 2015-03-10T15:32:26.000Z | 2022-03-03T08:30:10.000Z | ropper/common/abstract.py | cbayet/Ropper | 66adeb0a1d4322ced69643c3be2552c057d116d2 | [
"BSD-3-Clause"
] | 214 | 2015-03-10T00:17:16.000Z | 2022-03-19T07:04:08.000Z | # coding=utf-8
# Copyright 2018 Sascha Schirra
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following di... | 42.765957 | 82 | 0.765672 |
from abc import *
class AbstractSingletonMeta(ABCMeta):
def __init__(self, name, bases, namespace):
super(AbstractSingletonMeta, self).__init__(name, bases, namespace)
self._instance = None
def __call__(self):
if not self._instance:
self._instance = super(AbstractSingle... | true | true |
1c430169866ca2e27445a302f4d0d86c027f6c3b | 104 | py | Python | Problems/Find even/task.py | gabrielizalo/jetbrains-academy-zookeeper | 467b43da3cb81f82987daf6b063eb2078d476d4f | [
"MIT"
] | null | null | null | Problems/Find even/task.py | gabrielizalo/jetbrains-academy-zookeeper | 467b43da3cb81f82987daf6b063eb2078d476d4f | [
"MIT"
] | null | null | null | Problems/Find even/task.py | gabrielizalo/jetbrains-academy-zookeeper | 467b43da3cb81f82987daf6b063eb2078d476d4f | [
"MIT"
] | null | null | null | user_number = int(input())
counter = 2
while counter < user_number:
print(counter)
counter += 2
| 17.333333 | 28 | 0.673077 | user_number = int(input())
counter = 2
while counter < user_number:
print(counter)
counter += 2
| true | true |
1c4302180ab7ea072a9425eafffdf70403bb70e8 | 462 | py | Python | 1-100/61-70/62-uniquePath/uniquePath-dp.py | xuychen/Leetcode | c8bf33af30569177c5276ffcd72a8d93ba4c402a | [
"MIT"
] | null | null | null | 1-100/61-70/62-uniquePath/uniquePath-dp.py | xuychen/Leetcode | c8bf33af30569177c5276ffcd72a8d93ba4c402a | [
"MIT"
] | null | null | null | 1-100/61-70/62-uniquePath/uniquePath-dp.py | xuychen/Leetcode | c8bf33af30569177c5276ffcd72a8d93ba4c402a | [
"MIT"
] | null | null | null | class Solution(object):
def uniquePaths(self, m, n):
"""
:type m: int
:type n: int
:rtype: int
"""
if not m or not n:
return 0
matrix = [[1] * n] + [[1] + [0] * (n - 1) for i in range(m-1)]
for i in range(1, m):
... | 25.666667 | 70 | 0.374459 | class Solution(object):
def uniquePaths(self, m, n):
if not m or not n:
return 0
matrix = [[1] * n] + [[1] + [0] * (n - 1) for i in range(m-1)]
for i in range(1, m):
for j in range(1, n):
matrix[i][j] = matrix[i-1][j] + matri... | true | true |
1c4302c6b4699ff6d29882340803de02d9f56132 | 1,478 | py | Python | tests/test_blink1.py | vmalloc/pytest-blink1 | cd783203dac4ffa0b43d95ac8c448a92888a7744 | [
"MIT"
] | 3 | 2017-04-21T19:38:55.000Z | 2019-05-10T13:15:48.000Z | tests/test_blink1.py | vmalloc/pytest-blink1 | cd783203dac4ffa0b43d95ac8c448a92888a7744 | [
"MIT"
] | null | null | null | tests/test_blink1.py | vmalloc/pytest-blink1 | cd783203dac4ffa0b43d95ac8c448a92888a7744 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
def test_bar_fixture(testdir):
"""Make sure that pytest accepts our fixture."""
# create a temporary pytest test module
testdir.makepyfile("""
def test_sth(bar):
assert bar == "europython2015"
""")
# run pytest with the following cmd args
result = ... | 22.738462 | 66 | 0.600135 |
def test_bar_fixture(testdir):
testdir.makepyfile("""
def test_sth(bar):
assert bar == "europython2015"
""")
result = testdir.runpytest(
'--foo=europython2015',
'-v'
)
result.stdout.fnmatch_lines([
'*::test_sth PASSED',
])
ass... | true | true |
1c43035982caa5106ff95faf47433fe555b5c886 | 4,005 | py | Python | pyACA/computeNoveltyFunction.py | RichardYang40148/pyACA-1 | 870d100ed232cca5a890570426116f70cd0736c8 | [
"MIT"
] | null | null | null | pyACA/computeNoveltyFunction.py | RichardYang40148/pyACA-1 | 870d100ed232cca5a890570426116f70cd0736c8 | [
"MIT"
] | null | null | null | pyACA/computeNoveltyFunction.py | RichardYang40148/pyACA-1 | 870d100ed232cca5a890570426116f70cd0736c8 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
computeNoveltyFunction
computes the novelty function for onset detection
supported novelty measures are:
'Flux',
'Laroche',
'Hainsworth'
Args:
cNoveltyName: name of the novelty measure
afAudioData: array with floating point audio data.
f_s: sample rate
afWi... | 29.88806 | 109 | 0.616729 |
import math
import numpy as np
import matplotlib.pyplot as plt
from scipy.signal import spectrogram
from scipy.signal import filtfilt
from scipy.signal import find_peaks
from ToolComputeHann import ToolComputeHann
def computeNoveltyFunction(cNoveltyName, afAudioData, f_s, afWindow=None, iBlockLengt... | true | true |
1c43037b1e1023ff562de4a07159cbdc5fd8f81b | 335 | py | Python | Prog4comp-SL-HPL-Extra/src/file_handling_numpy.py | computational-medicine/BMED360-2021 | 2c6052b9affedf1fee23c89d23941bf08eb2614c | [
"MIT"
] | 2 | 2021-04-19T23:22:17.000Z | 2021-04-20T14:04:58.000Z | Prog4comp-SL-HPL-Extra/src/file_handling_numpy.py | computational-medicine/BMED360-2021 | 2c6052b9affedf1fee23c89d23941bf08eb2614c | [
"MIT"
] | null | null | null | Prog4comp-SL-HPL-Extra/src/file_handling_numpy.py | computational-medicine/BMED360-2021 | 2c6052b9affedf1fee23c89d23941bf08eb2614c | [
"MIT"
] | 2 | 2020-03-26T17:15:13.000Z | 2020-05-25T08:10:06.000Z | filename = 'tmp.dat'
import numpy
data = numpy.loadtxt(filename, comments='#')
x = data[:,0]
y = data[:,1]
data[:,1] = numpy.log(y) # insert transformed y back in array
filename = 'tmp_out.dat'
outfile = open(filename, 'w') # open file for writing
outfile.write('# x and y coordinates\n')
numpy.savetxt(outfile, data, ... | 27.916667 | 62 | 0.677612 | filename = 'tmp.dat'
import numpy
data = numpy.loadtxt(filename, comments='#')
x = data[:,0]
y = data[:,1]
data[:,1] = numpy.log(y) filename = 'tmp_out.dat'
outfile = open(filename, 'w') outfile.write('# x and y coordinates\n')
numpy.savetxt(outfile, data, fmt='%10.5f')
| true | true |
1c4304a00b57f2257d41f5489361bfdb9ff354fc | 1,265 | py | Python | test/python/converters/test_circuit_to_instruction.py | jagunnels/qiskit-sdk-py | 153cdde972e65c0f23675bbe17c93e18be27bd51 | [
"Apache-2.0"
] | null | null | null | test/python/converters/test_circuit_to_instruction.py | jagunnels/qiskit-sdk-py | 153cdde972e65c0f23675bbe17c93e18be27bd51 | [
"Apache-2.0"
] | null | null | null | test/python/converters/test_circuit_to_instruction.py | jagunnels/qiskit-sdk-py | 153cdde972e65c0f23675bbe17c93e18be27bd51 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2019, IBM.
#
# This source code is licensed under the Apache License, Version 2.0 found in
# the LICENSE.txt file in the root directory of this source tree.
"""Tests for the converters."""
import unittest
from qiskit.converters import circuit_to_instruction
from qiskit import Qua... | 30.119048 | 77 | 0.658498 |
import unittest
from qiskit.converters import circuit_to_instruction
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
from qiskit.test import QiskitTestCase
class TestCircuitToInstruction(QiskitTestCase):
def test_flatten_circuit_registers(self):
qr1 = QuantumRegister(4, 'qr1')
... | true | true |
1c4305e9885301fd71ab64074c7006c2a059a4e5 | 13,730 | py | Python | esp-link/flash-tool/esptool-master/esptool-master/espressif/efuse/esp32c3/operations.py | km-tek/stm32_iot_link | 4791dd6cdd544f145e1de9750a63918183b15dba | [
"MIT"
] | null | null | null | esp-link/flash-tool/esptool-master/esptool-master/espressif/efuse/esp32c3/operations.py | km-tek/stm32_iot_link | 4791dd6cdd544f145e1de9750a63918183b15dba | [
"MIT"
] | null | null | null | esp-link/flash-tool/esptool-master/esptool-master/espressif/efuse/esp32c3/operations.py | km-tek/stm32_iot_link | 4791dd6cdd544f145e1de9750a63918183b15dba | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# This file includes the operations with eFuses for ESP32-C3 chip
#
# Copyright (C) 2020 Espressif Systems (Shanghai) PTE LTD
#
# This program is free software; you can redistribute it and/or modify it under
# the terms of the GNU General Public License as published by the Free Software
# Foundati... | 49.566787 | 148 | 0.658704 | from __future__ import division, print_function
import argparse
import os
import espsecure
import esptool
from . import fields
from .. import util
from ..base_operations import (ONLY_BURN_AT_END, add_common_commands, add_force_write_always, burn_bit, burn_block_data, burn_efuse, dum... | true | true |
1c43060d143e8a9a2e3eea79632f0c6fe9dda0e6 | 8,173 | py | Python | libs/utilities.py | CaptainBoggle/bakerbot | ef93c8e636b0f1ee514a0b1cef2ab43b315d974e | [
"MIT"
] | null | null | null | libs/utilities.py | CaptainBoggle/bakerbot | ef93c8e636b0f1ee514a0b1cef2ab43b315d974e | [
"MIT"
] | 2 | 2021-06-19T11:09:02.000Z | 2021-06-19T11:21:21.000Z | libs/utilities.py | CaptainBoggle/bakerbot | ef93c8e636b0f1ee514a0b1cef2ab43b315d974e | [
"MIT"
] | null | null | null | from discord.ext import commands
import datetime as dt
import typing as t
import discord
import asyncio
import re
class Colours:
regular = 0xF5CC00 # Used for everything else.
success = 0x00C92C # Used for successful queries.
failure = 0xFF3300 # Used for error messages.
gaming = 0x0095FF # Used ... | 37.490826 | 193 | 0.595253 | from discord.ext import commands
import datetime as dt
import typing as t
import discord
import asyncio
import re
class Colours:
regular = 0xF5CC00 success = 0x00C92C failure = 0xFF3300 gaming = 0x0095FF
class Regexes:
urls = re.compile(
r"(?i)\b((?:https?://|www\d{0,3}[.]|[a-z0... | true | true |
1c4306ae7a77d99914614f2953aba5cc87f70902 | 49 | py | Python | bumpv/client/logging/__init__.py | kylie-a/bumpversion | 13a150daa02f29e7dd74b5240c54c7929ec176b8 | [
"MIT"
] | null | null | null | bumpv/client/logging/__init__.py | kylie-a/bumpversion | 13a150daa02f29e7dd74b5240c54c7929ec176b8 | [
"MIT"
] | null | null | null | bumpv/client/logging/__init__.py | kylie-a/bumpversion | 13a150daa02f29e7dd74b5240c54c7929ec176b8 | [
"MIT"
] | 1 | 2019-11-24T15:36:19.000Z | 2019-11-24T15:36:19.000Z | from .logging import get_logger_list, get_logger
| 24.5 | 48 | 0.857143 | from .logging import get_logger_list, get_logger
| true | true |
1c4306e24fd9a2e2378f9454b22e4e8649dd41f6 | 6,543 | py | Python | Segger/quaternion.py | gregdp/segger | d4c112fd43f0b088145e225f976335800874ebe5 | [
"MIT"
] | 6 | 2019-03-27T22:53:12.000Z | 2021-11-19T09:02:05.000Z | Segger/quaternion.py | gregdp/segger | d4c112fd43f0b088145e225f976335800874ebe5 | [
"MIT"
] | 1 | 2017-03-07T16:52:30.000Z | 2019-11-25T21:37:21.000Z | Segger/quaternion.py | gregdp/segger | d4c112fd43f0b088145e225f976335800874ebe5 | [
"MIT"
] | 5 | 2019-05-30T19:10:01.000Z | 2022-02-09T07:04:59.000Z |
import chimera
import numpy
class Quaternion :
def __init__ ( self, s=1.0, v=chimera.Vector(0,0,0) ) :
self.s = s
self.v = v
def length (self) :
return numpy.sqrt ( (self.s*self.s) + self.v.sqlength() )
def rotation (self, angDegrees, axis) :
angRad = 0.5 * angDegrees ... | 29.740909 | 96 | 0.494116 |
import chimera
import numpy
class Quaternion :
def __init__ ( self, s=1.0, v=chimera.Vector(0,0,0) ) :
self.s = s
self.v = v
def length (self) :
return numpy.sqrt ( (self.s*self.s) + self.v.sqlength() )
def rotation (self, angDegrees, axis) :
angRad = 0.5 * angDegrees ... | true | true |
1c430821f923be31c49db28013f3a7692f993b15 | 7,542 | py | Python | pychron/core/fits/measurement_fits_selector.py | ael-noblegas/pychron | 6ebbbb1f66a614972b62b7a9be4c784ae61b5d62 | [
"Apache-2.0"
] | null | null | null | pychron/core/fits/measurement_fits_selector.py | ael-noblegas/pychron | 6ebbbb1f66a614972b62b7a9be4c784ae61b5d62 | [
"Apache-2.0"
] | 80 | 2018-07-17T20:10:20.000Z | 2021-08-17T15:38:24.000Z | pychron/core/fits/measurement_fits_selector.py | UManPychron/pychron | b84c9fd70072f9cbda30abe2c471e64fe3dd75d8 | [
"Apache-2.0"
] | null | null | null | # ===============================================================================
# Copyright 2014 Jake Ross
#
# 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/licens... | 36.086124 | 112 | 0.570936 |
from __future__ import absolute_import
import ast
import os
import yaml
from traits.api import Str, Button, List
from traitsui.api import HGroup, UItem, VGroup, Item
from traitsui.extras.checkbox_column import CheckboxColumn
from traitsui.handler import Controller
from traitsui.table_column import ObjectColumn
from... | true | true |
1c4308f87fe5f938447cd5436faba60db58264e4 | 1,275 | py | Python | analysis/clustering-initial-attempts/clustering-attempt-1/sort_clusters.py | BogDAAAMN/dark-patterns | 0335a1ad88316a05a9243e6a77ab79a0c2d06f12 | [
"Apache-2.0"
] | 98 | 2018-12-20T15:04:38.000Z | 2022-03-08T05:08:47.000Z | analysis/clustering-initial-attempts/clustering-attempt-1/sort_clusters.py | BogDAAAMN/dark-patterns | 0335a1ad88316a05a9243e6a77ab79a0c2d06f12 | [
"Apache-2.0"
] | 35 | 2018-07-27T16:09:46.000Z | 2019-01-31T16:09:14.000Z | analysis/clustering-initial-attempts/clustering-attempt-1/sort_clusters.py | TheCGO/dark-patterns | f458f19c4814419acd691f2842d7e1123f14097c | [
"Apache-2.0"
] | 19 | 2018-12-20T15:04:41.000Z | 2021-11-09T13:53:24.000Z | from __future__ import print_function
from tqdm import tqdm
import json
import os.path
import sys
usage = 'Usage: python %s CLUSTERS-FILE OUT-FILE' % __file__
help_message = '''Sorts clusters in the provided file by size, with largest first.
Clusters should be formatted in the same way as accepted by cluster_browser.p... | 29.651163 | 94 | 0.675294 | from __future__ import print_function
from tqdm import tqdm
import json
import os.path
import sys
usage = 'Usage: python %s CLUSTERS-FILE OUT-FILE' % __file__
help_message = '''Sorts clusters in the provided file by size, with largest first.
Clusters should be formatted in the same way as accepted by cluster_browser.p... | true | true |
1c43093fa85de4f6e1de23a0ecc3b43530f42260 | 126 | py | Python | sourcecode/GAN/FID/__init__.py | toufeeqahamedns/GeneratingHumanFaces | 93048bf5f6ae99424f918b0d0fea46d21abee0cb | [
"MIT"
] | null | null | null | sourcecode/GAN/FID/__init__.py | toufeeqahamedns/GeneratingHumanFaces | 93048bf5f6ae99424f918b0d0fea46d21abee0cb | [
"MIT"
] | null | null | null | sourcecode/GAN/FID/__init__.py | toufeeqahamedns/GeneratingHumanFaces | 93048bf5f6ae99424f918b0d0fea46d21abee0cb | [
"MIT"
] | null | null | null | """ Package has implementation for the FID score calculation
"""
from GAN.FID import fid_score
from GAN.FID import inception
| 21 | 60 | 0.785714 |
from GAN.FID import fid_score
from GAN.FID import inception
| true | true |
1c4309663a6b321e33289d53fa1cdd98849e4918 | 42 | py | Python | docnetdb/examples/__init__.py | fsabre/DocNetDB | c749a345e644b63219bd544967bed563299fd42c | [
"MIT"
] | 4 | 2020-01-27T13:10:58.000Z | 2020-09-12T12:10:22.000Z | docnetdb/examples/__init__.py | fsabre/DocNetDB | c749a345e644b63219bd544967bed563299fd42c | [
"MIT"
] | null | null | null | docnetdb/examples/__init__.py | fsabre/DocNetDB | c749a345e644b63219bd544967bed563299fd42c | [
"MIT"
] | null | null | null | """This package defines some examples."""
| 21 | 41 | 0.714286 | true | true | |
1c430a1d102e128e139d8c74d14944d8d32fb967 | 4,458 | py | Python | Main/AlphaZero/DistributedSelfPlay/SelfPlay.py | ikaroszhang96/Convex-AlphaZero | d96c9790529e48ff4e2ec34649bdc312a0abcc53 | [
"MIT"
] | null | null | null | Main/AlphaZero/DistributedSelfPlay/SelfPlay.py | ikaroszhang96/Convex-AlphaZero | d96c9790529e48ff4e2ec34649bdc312a0abcc53 | [
"MIT"
] | null | null | null | Main/AlphaZero/DistributedSelfPlay/SelfPlay.py | ikaroszhang96/Convex-AlphaZero | d96c9790529e48ff4e2ec34649bdc312a0abcc53 | [
"MIT"
] | null | null | null | from Main.AlphaZero.DistributedSelfPlay import Constants
from Main.Training.Connect4 import MemoryBuffers
from Main import Hyperparameters
import multiprocessing as mp
import numpy as np
import time
'''
Listen for data from the Remote Worker and forward it to the Replay Watcher.
Every worker will continue to work unti... | 40.527273 | 119 | 0.721624 | from Main.AlphaZero.DistributedSelfPlay import Constants
from Main.Training.Connect4 import MemoryBuffers
from Main import Hyperparameters
import multiprocessing as mp
import numpy as np
import time
def _waitForWorker(connection, dumpPipe):
gamesCollected = 0
collectingDataFromWorker = True
while (collecti... | true | true |
1c430ac1e16c40ccad73fdb23ae4dc5bca695e2c | 344,018 | py | Python | ns-allinone-3.29/ns-3.29/src/core/bindings/modulegen__gcc_ILP32.py | tayoon/My-NS-3 | e39bd778fe31397e048f770533c5154761bbbcb5 | [
"MIT"
] | null | null | null | ns-allinone-3.29/ns-3.29/src/core/bindings/modulegen__gcc_ILP32.py | tayoon/My-NS-3 | e39bd778fe31397e048f770533c5154761bbbcb5 | [
"MIT"
] | null | null | null | ns-allinone-3.29/ns-3.29/src/core/bindings/modulegen__gcc_ILP32.py | tayoon/My-NS-3 | e39bd778fe31397e048f770533c5154761bbbcb5 | [
"MIT"
] | null | null | null | from pybindgen import Module, FileCodeSink, param, retval, cppclass, typehandlers
import pybindgen.settings
import warnings
class ErrorHandler(pybindgen.settings.ErrorHandler):
def handle_error(self, wrapper, exception, traceback_):
warnings.warn("exception %r in wrapper %s" % (exception, wrapper))
... | 63.813393 | 1,926 | 0.626802 | from pybindgen import Module, FileCodeSink, param, retval, cppclass, typehandlers
import pybindgen.settings
import warnings
class ErrorHandler(pybindgen.settings.ErrorHandler):
def handle_error(self, wrapper, exception, traceback_):
warnings.warn("exception %r in wrapper %s" % (exception, wrapper))
... | true | true |
1c430afc55313db5124cc8f641ee344a3db59895 | 12,317 | py | Python | src/comp_varDA.py | m214089/lorenz-da | da02fddcac6eb85e285843da35bf1a3e7c07fe62 | [
"Apache-2.0"
] | null | null | null | src/comp_varDA.py | m214089/lorenz-da | da02fddcac6eb85e285843da35bf1a3e7c07fe62 | [
"Apache-2.0"
] | null | null | null | src/comp_varDA.py | m214089/lorenz-da | da02fddcac6eb85e285843da35bf1a3e7c07fe62 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
###############################################################
# < next few lines under version control, D O N O T E D I T >
# $Date$
# $Revision$
# $Author$
# $Id$
###############################################################
###############################################################
... | 40.516447 | 185 | 0.535033 |
__author__ = "Rahul Mahajan"
__email__ = "rahul.mahajan@nasa.gov"
__copyright__ = "Copyright 2012, NASA / GSFC / GMAO"
__license__ = "GPL"
__status__ = "Prototype"
import sys
import numpy as np
from matplotlib import pyplot
from argparse import ArgumentParser,ArgumentDefaultsHelpFormatter... | true | true |
1c430c5cc94b65be4f73ba40070bf64a8b9520f7 | 518 | py | Python | backend/app/app/crud/crud_permission.py | l2m2/fastapi-vue-admin | 165060ee510b6438ff8aa42ab839fcf77f5dd387 | [
"MIT"
] | 5 | 2021-11-25T20:07:31.000Z | 2022-03-22T02:28:51.000Z | backend/app/app/crud/crud_permission.py | l2m2/fastapi-vue-admin | 165060ee510b6438ff8aa42ab839fcf77f5dd387 | [
"MIT"
] | null | null | null | backend/app/app/crud/crud_permission.py | l2m2/fastapi-vue-admin | 165060ee510b6438ff8aa42ab839fcf77f5dd387 | [
"MIT"
] | 3 | 2021-05-15T18:19:10.000Z | 2021-08-24T08:23:41.000Z | from typing import Optional
from sqlalchemy.orm import Session
from app.crud.base import CRUDBase
from app.models.permission import Permission
from app.schemas.permission import PermissionCreate, PermissionUpdate, PermissionList
class CRUDPermission(CRUDBase[Permission, PermissionCreate, PermissionUpdate, Permission... | 34.533333 | 95 | 0.80888 | from typing import Optional
from sqlalchemy.orm import Session
from app.crud.base import CRUDBase
from app.models.permission import Permission
from app.schemas.permission import PermissionCreate, PermissionUpdate, PermissionList
class CRUDPermission(CRUDBase[Permission, PermissionCreate, PermissionUpdate, Permission... | true | true |
1c430d68cee1c1046048674e472c16c99b28fcec | 3,172 | py | Python | isi_sdk_8_2_0/isi_sdk_8_2_0/models/network_groupnets.py | mohitjain97/isilon_sdk_python | a371f438f542568edb8cda35e929e6b300b1177c | [
"Unlicense"
] | 24 | 2018-06-22T14:13:23.000Z | 2022-03-23T01:21:26.000Z | isi_sdk_8_2_0/isi_sdk_8_2_0/models/network_groupnets.py | mohitjain97/isilon_sdk_python | a371f438f542568edb8cda35e929e6b300b1177c | [
"Unlicense"
] | 46 | 2018-04-30T13:28:22.000Z | 2022-03-21T21:11:07.000Z | isi_sdk_8_2_0/isi_sdk_8_2_0/models/network_groupnets.py | mohitjain97/isilon_sdk_python | a371f438f542568edb8cda35e929e6b300b1177c | [
"Unlicense"
] | 29 | 2018-06-19T00:14:04.000Z | 2022-02-08T17:51:19.000Z | # coding: utf-8
"""
Isilon SDK
Isilon SDK - Language bindings for the OneFS API # noqa: E501
OpenAPI spec version: 7
Contact: sdk@isilon.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
from isi_sdk_8_2_0.models.network... | 27.582609 | 101 | 0.580706 |
import pprint
import re
import six
from isi_sdk_8_2_0.models.network_groupnet_extended import NetworkGroupnetExtended
class NetworkGroupnets(object):
swagger_types = {
'groupnets': 'list[NetworkGroupnetExtended]'
}
attribute_map = {
'groupnets': 'groupnets'
}
def __init__... | true | true |
1c430e38b9ca8f688f72cacfca7a1cdccab2d5c4 | 294 | py | Python | odooku/patch/__init__.py | davejrv/import | 0dbca8f432d1a051a2bdb30c952cc26f1ffd74ae | [
"Apache-2.0"
] | 55 | 2017-09-11T06:48:39.000Z | 2022-03-31T18:14:46.000Z | odooku/patch/__init__.py | davejrv/import | 0dbca8f432d1a051a2bdb30c952cc26f1ffd74ae | [
"Apache-2.0"
] | 4 | 2018-01-13T09:13:48.000Z | 2019-09-28T10:24:43.000Z | odooku/patch/__init__.py | davejrv/import | 0dbca8f432d1a051a2bdb30c952cc26f1ffd74ae | [
"Apache-2.0"
] | 46 | 2017-12-30T22:31:45.000Z | 2022-02-17T05:35:55.000Z | import importlib
import pkgutil
from . patch import SoftPatch, HardPatch, patcher
def apply_patches():
import odooku_patches
for importer, name, ispkg in pkgutil.iter_modules(odooku_patches.__path__):
module = importlib.import_module('%s.%s' % (odooku_patches.__name__, name)) | 32.666667 | 83 | 0.758503 | import importlib
import pkgutil
from . patch import SoftPatch, HardPatch, patcher
def apply_patches():
import odooku_patches
for importer, name, ispkg in pkgutil.iter_modules(odooku_patches.__path__):
module = importlib.import_module('%s.%s' % (odooku_patches.__name__, name)) | true | true |
1c430e92ba5f56e04484b5f8e6dc0abe1ade4089 | 2,344 | py | Python | no_agent2/policy_network.py | songaal/rltrader | 4aac8085dda1a58fbf30a313f2a4608398c971a3 | [
"MIT"
] | 2 | 2020-06-13T07:18:10.000Z | 2020-11-03T03:46:40.000Z | no_agent2/policy_network.py | songaal/rltrader | 4aac8085dda1a58fbf30a313f2a4608398c971a3 | [
"MIT"
] | null | null | null | no_agent2/policy_network.py | songaal/rltrader | 4aac8085dda1a58fbf30a313f2a4608398c971a3 | [
"MIT"
] | 1 | 2020-05-16T08:41:29.000Z | 2020-05-16T08:41:29.000Z | import numpy as np
from keras.models import Sequential
from keras.layers import Activation, LSTM, Dense, BatchNormalization, Embedding, Input
from keras.optimizers import sgd
from keras import callbacks
from keras.preprocessing import sequence
class PolicyNetwork:
def __init__(self, input_dim, output_dim=0... | 43.407407 | 117 | 0.648464 | import numpy as np
from keras.models import Sequential
from keras.layers import Activation, LSTM, Dense, BatchNormalization, Embedding, Input
from keras.optimizers import sgd
from keras import callbacks
from keras.preprocessing import sequence
class PolicyNetwork:
def __init__(self, input_dim, output_dim=0... | true | true |
1c430f38da4bfc0e8a45b675aa1cea6c3c1fecfe | 9,065 | py | Python | afterglow_core/resources/data_provider_plugins/dss_image_provider.py | SkynetRTN/afterglow-core | cd9d84e68cc7126887d0aa7f96f608b91b0b0ae3 | [
"Apache-2.0"
] | 2 | 2021-05-24T15:12:07.000Z | 2022-02-17T19:58:16.000Z | afterglow_core/resources/data_provider_plugins/dss_image_provider.py | SkynetRTN/afterglow-core | cd9d84e68cc7126887d0aa7f96f608b91b0b0ae3 | [
"Apache-2.0"
] | 1 | 2022-02-27T03:01:06.000Z | 2022-02-27T03:01:06.000Z | afterglow_core/resources/data_provider_plugins/dss_image_provider.py | SkynetRTN/afterglow-core | cd9d84e68cc7126887d0aa7f96f608b91b0b0ae3 | [
"Apache-2.0"
] | 2 | 2021-06-08T18:16:40.000Z | 2021-07-09T14:19:49.000Z | """
Afterglow Core: imaging survey data provider plugin
"""
from typing import List as TList, Optional, Tuple, Union
from io import BytesIO
from marshmallow.fields import Float, String
from marshmallow.validate import OneOf, Range
import requests
import astropy.io.fits as pyfits
from ...models import DataProvider, D... | 35.272374 | 79 | 0.534915 |
from typing import List as TList, Optional, Tuple, Union
from io import BytesIO
from marshmallow.fields import Float, String
from marshmallow.validate import OneOf, Range
import requests
import astropy.io.fits as pyfits
from ...models import DataProvider, DataProviderAsset
from ...errors import MissingFieldError, Va... | true | true |
1c43107c4f2485e25dc74af0dfc00acefcc043c7 | 10,203 | py | Python | kuryr_kubernetes/cmd/status.py | digitalsimboja/kuryr-kubernetes | e2e8e514d3c93b0546716dfe0c458e91d14ffa10 | [
"Apache-2.0"
] | 155 | 2016-05-23T01:18:04.000Z | 2022-02-07T04:27:53.000Z | kuryr_kubernetes/cmd/status.py | digitalsimboja/kuryr-kubernetes | e2e8e514d3c93b0546716dfe0c458e91d14ffa10 | [
"Apache-2.0"
] | 635 | 2019-04-08T18:24:14.000Z | 2022-03-30T13:48:10.000Z | kuryr_kubernetes/cmd/status.py | digitalsimboja/kuryr-kubernetes | e2e8e514d3c93b0546716dfe0c458e91d14ffa10 | [
"Apache-2.0"
] | 71 | 2016-05-24T15:46:39.000Z | 2022-03-11T06:24:44.000Z | # Copyright 2018 Red Hat
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to ... | 34.469595 | 79 | 0.604822 |
import copy
import sys
import textwrap
import traceback
import prettytable
import os_vif
from os_vif.objects import base
from oslo_config import cfg
from oslo_serialization import jsonutils
from kuryr_kubernetes import clients
from kuryr_kubernetes import config
from kuryr_kubernetes import constants
from kuryr_ku... | true | true |
1c4310f9d44999eb5196e3da1d1c3a90d53328cc | 992 | py | Python | sct_custom/unit_testing/test_sct_compute_mtsat.py | nidebroux/lumbosacral_segmentation | 3217960c6f0f5c3886dfdf46e1286ad2f737f4aa | [
"Unlicense",
"MIT"
] | 1 | 2021-09-07T08:52:21.000Z | 2021-09-07T08:52:21.000Z | sct_custom/unit_testing/test_sct_compute_mtsat.py | nidebroux/lumbosacral_segmentation | 3217960c6f0f5c3886dfdf46e1286ad2f737f4aa | [
"Unlicense",
"MIT"
] | null | null | null | sct_custom/unit_testing/test_sct_compute_mtsat.py | nidebroux/lumbosacral_segmentation | 3217960c6f0f5c3886dfdf46e1286ad2f737f4aa | [
"Unlicense",
"MIT"
] | null | null | null | #!/usr/bin/env python
import os
import pytest
from spinalcordtoolbox.utils import sct_test_path
from spinalcordtoolbox.scripts import sct_compute_mtsat
out_mstat = "out_mtsat.nii.gz"
out_t1map = "out_t1map.nii.gz"
INPUT_PARAMS = [
['-mt', sct_test_path('mt', 'mt1.nii.gz'),
'-pd', sct_test_path('mt', 'mt0.... | 28.342857 | 93 | 0.628024 |
import os
import pytest
from spinalcordtoolbox.utils import sct_test_path
from spinalcordtoolbox.scripts import sct_compute_mtsat
out_mstat = "out_mtsat.nii.gz"
out_t1map = "out_t1map.nii.gz"
INPUT_PARAMS = [
['-mt', sct_test_path('mt', 'mt1.nii.gz'),
'-pd', sct_test_path('mt', 'mt0.nii.gz'),
'-t1', ... | true | true |
1c43114d6bc49f1a731867467ab5fc9d2bcf9463 | 15,401 | py | Python | example_cases/1D_exp_bubscreen/input_bak.py | ComputationalFlowPhysics/MFC-develop | 41506c2c788f9b8d081cd4b9b2c8ff95ef3b19f2 | [
"MIT"
] | 3 | 2021-05-20T23:42:47.000Z | 2021-11-17T21:34:14.000Z | example_cases/1D_exp_bubscreen/input_bak.py | ComputationalFlowPhysics/MFC-develop | 41506c2c788f9b8d081cd4b9b2c8ff95ef3b19f2 | [
"MIT"
] | 28 | 2021-11-02T00:40:40.000Z | 2021-12-06T02:38:57.000Z | example_cases/1D_exp_bubscreen/input_bak.py | ComputationalFlowPhysics/MFC-develop | 901bff8d9e9d7519613cfcacc7a5463ab6295181 | [
"MIT"
] | 9 | 2021-10-02T04:37:25.000Z | 2021-11-23T00:58:11.000Z | #!/usr/bin/env python3
import math
x0 = 10.E-06
p0 = 101325.
rho0 = 1.E+03
c0 = math.sqrt( p0/rho0 )
patm = 1.
#water props
## AKA little \gamma (see coralic 2014 eq'n (13))
n_tait = 7.1
## AKA little \pi(see coralic 2014 eq'n (13))
B_tait = 306.E+06 / p0
mul0 = 1.002E-03 #viscosity
ss... | 52.384354 | 107 | 0.310305 |
import math
x0 = 10.E-06
p0 = 101325.
rho0 = 1.E+03
c0 = math.sqrt( p0/rho0 )
patm = 1.
n_tait = 7.1
## AKA little \pi(see coralic 2014 eq'n (13))
B_tait = 306.E+06 / p0
mul0 = 1.002E-03 ss = 0.07275 pv = 2.3388E+03
#gamma_v = 1.33
#M_v = 18.02
#mu_v = 0.8816... | true | true |
1c4311c385772f0780d0f5fd3ed496e89c9bb98c | 4,129 | py | Python | mmdet/models/losses/eqlv2.py | zhaohongyin/mmdetection-2.15 | 9fd29bfd373a6ad00674471c04ecc916f8ad413e | [
"Apache-2.0"
] | null | null | null | mmdet/models/losses/eqlv2.py | zhaohongyin/mmdetection-2.15 | 9fd29bfd373a6ad00674471c04ecc916f8ad413e | [
"Apache-2.0"
] | null | null | null | mmdet/models/losses/eqlv2.py | zhaohongyin/mmdetection-2.15 | 9fd29bfd373a6ad00674471c04ecc916f8ad413e | [
"Apache-2.0"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.distributed as dist
from mmdet.utils import get_root_logger
from functools import partial
from ..builder import LOSSES
@LOSSES.register_module()
class EQLv2(nn.Module):
def __init__(self,
use_sigmoid=True,
... | 33.844262 | 83 | 0.578106 | import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.distributed as dist
from mmdet.utils import get_root_logger
from functools import partial
from ..builder import LOSSES
@LOSSES.register_module()
class EQLv2(nn.Module):
def __init__(self,
use_sigmoid=True,
... | true | true |
1c4312172dc45ac8b188a1e31e311d39a6f89ea9 | 3,943 | py | Python | designate/storage/__init__.py | ISCAS-VDI/designate-base | bd945607e3345fbef8645c3441e96b032b70b098 | [
"Apache-2.0"
] | null | null | null | designate/storage/__init__.py | ISCAS-VDI/designate-base | bd945607e3345fbef8645c3441e96b032b70b098 | [
"Apache-2.0"
] | null | null | null | designate/storage/__init__.py | ISCAS-VDI/designate-base | bd945607e3345fbef8645c3441e96b032b70b098 | [
"Apache-2.0"
] | null | null | null | # Copyright 2012 Managed I.T.
#
# Author: Kiall Mac Innes <kiall@managedit.ie>
#
# 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 r... | 33.700855 | 79 | 0.587116 |
import copy
import functools
import threading
import time
from oslo_log import log as logging
from oslo_db import exception as db_exception
from oslo_utils import excutils
from designate.storage.base import Storage
from designate.i18n import _LW
LOG = logging.getLogger(__name__)
RETRY_STATE = threading.local()
d... | true | true |
1c4312cb083a253b3691adb88cdcfbc5b0aa0c66 | 798 | py | Python | sugar/sugar/urls.py | Nazira06/sweet-sugar | 9822390356effae379bff1ebcda276b5d6dee8ce | [
"MIT"
] | null | null | null | sugar/sugar/urls.py | Nazira06/sweet-sugar | 9822390356effae379bff1ebcda276b5d6dee8ce | [
"MIT"
] | null | null | null | sugar/sugar/urls.py | Nazira06/sweet-sugar | 9822390356effae379bff1ebcda276b5d6dee8ce | [
"MIT"
] | null | null | null | """sugar URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based v... | 34.695652 | 77 | 0.703008 | from django.contrib import admin
from django.urls import path, include
urlpatterns = [
path('admin/', admin.site.urls),
path('', include('sweet_girl.urls')),
]
| true | true |
1c431471364d40e49996e90ea2929734f7ea9e2b | 6,864 | py | Python | bindings/python/ensmallen_graph/datasets/string/flaviramulusichthyoenteri.py | caufieldjh/ensmallen_graph | 14e98b1cdbc73193a84a913d7d4f2b2b3eb2c43a | [
"MIT"
] | null | null | null | bindings/python/ensmallen_graph/datasets/string/flaviramulusichthyoenteri.py | caufieldjh/ensmallen_graph | 14e98b1cdbc73193a84a913d7d4f2b2b3eb2c43a | [
"MIT"
] | null | null | null | bindings/python/ensmallen_graph/datasets/string/flaviramulusichthyoenteri.py | caufieldjh/ensmallen_graph | 14e98b1cdbc73193a84a913d7d4f2b2b3eb2c43a | [
"MIT"
] | null | null | null | """
This file offers the methods to automatically retrieve the graph Flaviramulus ichthyoenteri.
The graph is automatically retrieved from the STRING repository.
Report
---------------------
At the time of rendering these methods (please see datetime below), the graph
had the following characteristics:
Datetime: ... | 35.937173 | 223 | 0.711247 | from typing import Dict
from ..automatic_graph_retrieval import AutomaticallyRetrievedGraph
from ...ensmallen_graph import EnsmallenGraph
def FlaviramulusIchthyoenteri(
directed: bool = False,
verbose: int = 2,
cache_path: str = "graphs/string",
**additional_graph_kwargs: Dict
) -> EnsmallenGraph:
... | true | true |
1c43147d60936250716fa29247d7b6a5f06f230c | 5,472 | py | Python | gridpath/auxiliary/dynamic_components.py | anamileva/gridpath | e55eacb88ca5e6c034a90b18819e17cbd6f43854 | [
"Apache-2.0"
] | null | null | null | gridpath/auxiliary/dynamic_components.py | anamileva/gridpath | e55eacb88ca5e6c034a90b18819e17cbd6f43854 | [
"Apache-2.0"
] | null | null | null | gridpath/auxiliary/dynamic_components.py | anamileva/gridpath | e55eacb88ca5e6c034a90b18819e17cbd6f43854 | [
"Apache-2.0"
] | null | null | null | # Copyright 2016-2020 Blue Marble Analytics LLC.
#
# 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 ag... | 42.092308 | 79 | 0.738121 |
from builtins import object
capacity_type_operational_period_sets = "capacity_type_operational_period_sets"
storage_only_capacity_type_operational_period_sets = \
"storage_only_capacity_type_operational_period_sets"
headroom_variables = "headroom_variables"
footroom_variables = "footroom_variables"
reserve_vari... | true | true |
1c4315485dc6a97257b664665246fdef117f21c5 | 610 | py | Python | djangogram/users/models.py | nothors2/djangogram | 1250e301026be2218b6b116895a16217770efb17 | [
"MIT"
] | null | null | null | djangogram/users/models.py | nothors2/djangogram | 1250e301026be2218b6b116895a16217770efb17 | [
"MIT"
] | null | null | null | djangogram/users/models.py | nothors2/djangogram | 1250e301026be2218b6b116895a16217770efb17 | [
"MIT"
] | null | null | null | from django.contrib.auth.models import AbstractUser
from django.db.models import CharField
from django.urls import reverse
from django.utils.translation import gettext_lazy as _
class User(AbstractUser):
"""Default user for djangogram.
"""
#: First and last name do not cover name patterns around the glob... | 27.727273 | 74 | 0.685246 | from django.contrib.auth.models import AbstractUser
from django.db.models import CharField
from django.urls import reverse
from django.utils.translation import gettext_lazy as _
class User(AbstractUser):
name = CharField(_("Name of User"), blank=True, max_length=255)
def get_absolute_url(self):
... | true | true |
1c4316d17e8a809a1b0d8b5c86ad35c3660f6af3 | 4,449 | py | Python | wavefront_api_client/models/response_container_list_string.py | mdennehy/python-client | 4d9cfa32075a6a65d88a38fe9e72b282e87b8808 | [
"Apache-2.0"
] | null | null | null | wavefront_api_client/models/response_container_list_string.py | mdennehy/python-client | 4d9cfa32075a6a65d88a38fe9e72b282e87b8808 | [
"Apache-2.0"
] | null | null | null | wavefront_api_client/models/response_container_list_string.py | mdennehy/python-client | 4d9cfa32075a6a65d88a38fe9e72b282e87b8808 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
Wavefront REST API
<p>The Wavefront REST API enables you to interact with Wavefront servers using standard REST API tools. You can use the REST API to automate commonly executed operations such as automatically tagging sources.</p><p>When you make REST API calls outside the Wavefront REST ... | 30.682759 | 409 | 0.601483 |
import pprint
import re
import six
from wavefront_api_client.models.response_status import ResponseStatus
class ResponseContainerListString(object):
swagger_types = {
'response': 'list[str]',
'status': 'ResponseStatus'
}
attribute_map = {
'response': 'response',
's... | true | true |
1c4316da8a7451b37c49defcc4c8ba806a5b3516 | 464 | py | Python | ctsb/models/__init__.py | paula-gradu/ctsb | fdc00acb798949ce1120778ad4725faf170f80c3 | [
"Apache-2.0"
] | 1 | 2021-07-03T05:26:56.000Z | 2021-07-03T05:26:56.000Z | ctsb/models/__init__.py | paula-gradu/ctsb | fdc00acb798949ce1120778ad4725faf170f80c3 | [
"Apache-2.0"
] | null | null | null | ctsb/models/__init__.py | paula-gradu/ctsb | fdc00acb798949ce1120778ad4725faf170f80c3 | [
"Apache-2.0"
] | null | null | null | # models init file
from ctsb.models.registration import model_registry, model_register, model, model_spec
from ctsb.models.core import Model, CustomModel
# ---------- Models ----------
model_register(
id='LastValue',
entry_point='ctsb.models.time_series:LastValue',
)
model_register(
id='Linear',
e... | 18.56 | 86 | 0.713362 |
from ctsb.models.registration import model_registry, model_register, model, model_spec
from ctsb.models.core import Model, CustomModel
model_register(
id='LastValue',
entry_point='ctsb.models.time_series:LastValue',
)
model_register(
id='Linear',
entry_point='ctsb.models.time_series:Linear',
)
mo... | true | true |
1c43180dbe1faed6c7475316a57df59e40602db1 | 155,494 | py | Python | goodies/ospexporter/export_fbx_bin.py | Ghimli/new-ospgl | 31bd84e52d954683671211ff16ce8702bdb87312 | [
"MIT",
"BSD-3-Clause"
] | 1 | 2020-01-18T22:13:24.000Z | 2020-01-18T22:13:24.000Z | release/scripts/addons/io_scene_fbx/export_fbx_bin.py | ringsce/Rings3D | 8059d1e2460fc8d6f101eff8e695f68a99f6671d | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null | release/scripts/addons/io_scene_fbx/export_fbx_bin.py | ringsce/Rings3D | 8059d1e2460fc8d6f101eff8e695f68a99f6671d | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distrib... | 47.320146 | 137 | 0.648977 |
import array
import datetime
import math
import os
import time
from itertools import zip_longest, chain
if "bpy" in locals():
import importlib
if "encode_bin" in locals():
importlib.reload(encode_bin)
if "data_types" in locals():
importlib.reload(data_types)
if "fbx_utils" in local... | true | true |
1c4319290a772ff076d1c754c3360cc8808b20b6 | 3,196 | py | Python | pysurf/spp/request.py | MFSJMenger/pysurf | 99c6a94d4cb5046f16a0961b907061d989ffb6dc | [
"Apache-2.0"
] | 7 | 2020-10-28T13:46:08.000Z | 2021-05-27T06:41:56.000Z | pysurf/spp/request.py | MFSJMenger/pysurf | 99c6a94d4cb5046f16a0961b907061d989ffb6dc | [
"Apache-2.0"
] | 2 | 2020-10-27T19:15:12.000Z | 2020-10-27T19:15:25.000Z | pysurf/spp/request.py | MFSJMenger/pysurf | 99c6a94d4cb5046f16a0961b907061d989ffb6dc | [
"Apache-2.0"
] | 2 | 2021-04-15T05:54:30.000Z | 2022-02-08T00:10:10.000Z | from collections.abc import Mapping
import numpy as np
class RequestGenerator:
"""Abstraction to generate Requests consistently"""
def __init__(self, nstates, properties=None, use_db=False):
self.nstates = nstates
# properties that are always asked for (database)
if properties is None... | 30.730769 | 89 | 0.602003 | from collections.abc import Mapping
import numpy as np
class RequestGenerator:
def __init__(self, nstates, properties=None, use_db=False):
self.nstates = nstates
if properties is None:
properties = []
self._request_always = properties
if use_db ... | true | true |
1c4319f777093247b8f9e9c7bd3a0e82affbfe84 | 4,744 | py | Python | visigoth/utils/hue_manager/discrete_hue_manager.py | visigoths/visigoth | c5297148209d630f6668f0e5ba3039a8856d8320 | [
"MIT"
] | null | null | null | visigoth/utils/hue_manager/discrete_hue_manager.py | visigoths/visigoth | c5297148209d630f6668f0e5ba3039a8856d8320 | [
"MIT"
] | 1 | 2021-01-26T16:55:48.000Z | 2021-09-03T15:29:14.000Z | visigoth/utils/hue_manager/discrete_hue_manager.py | visigoths/visigoth | c5297148209d630f6668f0e5ba3039a8856d8320 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# visigoth: A lightweight Python3 library for rendering data visualizations in SVG
# Copyright (C) 2020-2021 Visigoth Developers
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software
# and associated documentation files (the "Software"), to... | 36.775194 | 104 | 0.621206 |
from visigoth.utils.hue_manager.hue_manager import HueManager
from visigoth.internal.utils.hue.hue import Hue
from visigoth.internal.utils.hue.colormaps import DiscreteColourMaps
class DiscreteHueManager(HueManager):
def __init__(self,hueMap="pastel",defaultHue="gray"):
super(DiscreteHueManager,self).__... | true | true |
1c431a04b0e307d352621e61ed087ea63836683d | 183 | py | Python | Court-APP/users/admin.py | mjhow4/attendance-app | 726577ea60f53f35c522c322ca6e81c7e3e8856b | [
"MIT"
] | null | null | null | Court-APP/users/admin.py | mjhow4/attendance-app | 726577ea60f53f35c522c322ca6e81c7e3e8856b | [
"MIT"
] | null | null | null | Court-APP/users/admin.py | mjhow4/attendance-app | 726577ea60f53f35c522c322ca6e81c7e3e8856b | [
"MIT"
] | null | null | null | from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from .models import NewUser, CustomAccountManager
admin.site.register(NewUser, CustomAccountManager)
| 30.5 | 50 | 0.852459 | from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from .models import NewUser, CustomAccountManager
admin.site.register(NewUser, CustomAccountManager)
| true | true |
1c431a439cff4e67b136f223f8bc58eae3b1f40a | 1,117 | py | Python | tests/conftest.py | gitter-badger/a2ml | 1d9ef6657645b61c64090284ed8fadb1a68b932c | [
"Apache-2.0"
] | 30 | 2019-07-01T13:23:27.000Z | 2022-03-16T21:19:33.000Z | tests/conftest.py | gitter-badger/a2ml | 1d9ef6657645b61c64090284ed8fadb1a68b932c | [
"Apache-2.0"
] | 234 | 2019-07-04T13:56:15.000Z | 2021-11-04T10:12:55.000Z | tests/conftest.py | gitter-badger/a2ml | 1d9ef6657645b61c64090284ed8fadb1a68b932c | [
"Apache-2.0"
] | 13 | 2019-07-04T14:00:34.000Z | 2020-07-13T11:18:44.000Z | import os
import pytest
import shutil
import logging
import json
from click.testing import CliRunner
from a2ml.api.utils.context import Context
@pytest.fixture
def ctx():
# load config(s) from the test app
return Context(debug=True)
@pytest.fixture
def runner():
return CliRunner()
@pytest.fixture(scope... | 22.795918 | 79 | 0.716204 | import os
import pytest
import shutil
import logging
import json
from click.testing import CliRunner
from a2ml.api.utils.context import Context
@pytest.fixture
def ctx():
return Context(debug=True)
@pytest.fixture
def runner():
return CliRunner()
@pytest.fixture(scope="function")
def isolated(runner):
... | true | true |
1c431a9d6a3aa2af83b23411ebb9876266948588 | 16,154 | py | Python | sdk/python/tests/integration/registration/test_feature_store.py | potatochip/feast | bf557bcb72c7878a16dccb48443bbbe9dc3efa49 | [
"Apache-2.0"
] | null | null | null | sdk/python/tests/integration/registration/test_feature_store.py | potatochip/feast | bf557bcb72c7878a16dccb48443bbbe9dc3efa49 | [
"Apache-2.0"
] | null | null | null | sdk/python/tests/integration/registration/test_feature_store.py | potatochip/feast | bf557bcb72c7878a16dccb48443bbbe9dc3efa49 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 The Feast Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... | 33.445135 | 102 | 0.667884 | import time
from datetime import datetime, timedelta
from tempfile import mkstemp
import pytest
from pytest_lazyfixture import lazy_fixture
from feast import FileSource
from feast.data_format import ParquetFormat
from feast.entity import Entity
from feast.feature import Feature
from feast.feature_store import Feature... | true | true |
1c431aabedb41ed6587e6ba57f1ebca93ef9a5d7 | 270 | py | Python | exercicio29.py | FelipeRossoni/infosatc-lp-avaliativo-01 | 8981927cb8fbad5cffa20533557a8402b794455c | [
"MIT"
] | null | null | null | exercicio29.py | FelipeRossoni/infosatc-lp-avaliativo-01 | 8981927cb8fbad5cffa20533557a8402b794455c | [
"MIT"
] | null | null | null | exercicio29.py | FelipeRossoni/infosatc-lp-avaliativo-01 | 8981927cb8fbad5cffa20533557a8402b794455c | [
"MIT"
] | null | null | null | n1 = float(input("Digite a primeira nota: "))
n2 = float(input("Digite a segunda nota: "))
n3 = float(input("Digite a segunda nota: "))
n4 = float(input("Digite a terceira nota: "))
media = ((n1+n2+n3+n4)/4)
print("A média aritmética de suas notas é : {}".format(media)) | 45 | 62 | 0.666667 | n1 = float(input("Digite a primeira nota: "))
n2 = float(input("Digite a segunda nota: "))
n3 = float(input("Digite a segunda nota: "))
n4 = float(input("Digite a terceira nota: "))
media = ((n1+n2+n3+n4)/4)
print("A média aritmética de suas notas é : {}".format(media)) | true | true |
1c431b0d542110ce047d54c74904da7d90a27db8 | 755 | py | Python | 201509/3.py | L-LYR/csp-sol | 6c0aec82d4704dc8b53886fe1f72e5088d6eab6d | [
"MIT"
] | null | null | null | 201509/3.py | L-LYR/csp-sol | 6c0aec82d4704dc8b53886fe1f72e5088d6eab6d | [
"MIT"
] | null | null | null | 201509/3.py | L-LYR/csp-sol | 6c0aec82d4704dc8b53886fe1f72e5088d6eab6d | [
"MIT"
] | null | null | null | # Time: 04/02/21
# Author: HammerLi
# Tags: [Simulation]
# Title: 模板生成系统
# Content:
# 给定字符串替换
from collections import defaultdict
m, n = map(int, input().split(' '))
template = ""
for _ in range(m):
template += "\n" + input()
template = template[1:]
vars = defaultdict(str)
for _ in range(n):
line = inpu... | 19.358974 | 65 | 0.580132 |
from collections import defaultdict
m, n = map(int, input().split(' '))
template = ""
for _ in range(m):
template += "\n" + input()
template = template[1:]
vars = defaultdict(str)
for _ in range(n):
line = input()
sep = line.find(' ')
var, tar = line[:sep], line[sep+2:-1]
vars[var] = tar
i = 0... | true | true |
1c431b21c6b302af48a3044f2455e1b97883f4e0 | 2,942 | py | Python | malicious-payload-text-classifier/data_utils.py | kosletr/SessionBehaviorClassifierAPI | 15e72da6c9c84dca20beb16469c855e11f901b82 | [
"MIT"
] | 1 | 2020-10-22T09:35:34.000Z | 2020-10-22T09:35:34.000Z | malicious-payload-text-classifier/data_utils.py | kosletr/SessionBehaviorClassifierAPI | 15e72da6c9c84dca20beb16469c855e11f901b82 | [
"MIT"
] | null | null | null | malicious-payload-text-classifier/data_utils.py | kosletr/SessionBehaviorClassifierAPI | 15e72da6c9c84dca20beb16469c855e11f901b82 | [
"MIT"
] | null | null | null | import numpy as np
import re
import csv
class Data(object):
"""
Class to handle loading and processing of raw datasets.
"""
def __init__(self, data_source,
alphabet="abcdefghijklmnopqrstuvwxyz0123456789-,;.!?:'\"/\\|_@#$%^&*~`+-=<>()[]{}",
input_size=1014, num_of_cla... | 31.978261 | 100 | 0.539089 | import numpy as np
import re
import csv
class Data(object):
def __init__(self, data_source,
alphabet="abcdefghijklmnopqrstuvwxyz0123456789-,;.!?:'\"/\\|_@#$%^&*~`+-=<>()[]{}",
input_size=1014, num_of_classes=8):
self.alphabet = alphabet
self.alphabet_size = len(s... | true | true |
1c431b6d68ed9856dc72ebd54e4bc377a51e12c1 | 92 | py | Python | bitmovin_api_sdk/encoding/filters/scale/customdata/__init__.py | jaythecaesarean/bitmovin-api-sdk-python | 48166511fcb9082041c552ace55a9b66cc59b794 | [
"MIT"
] | 11 | 2019-07-03T10:41:16.000Z | 2022-02-25T21:48:06.000Z | bitmovin_api_sdk/encoding/filters/scale/customdata/__init__.py | jaythecaesarean/bitmovin-api-sdk-python | 48166511fcb9082041c552ace55a9b66cc59b794 | [
"MIT"
] | 8 | 2019-11-23T00:01:25.000Z | 2021-04-29T12:30:31.000Z | bitmovin_api_sdk/encoding/filters/scale/customdata/__init__.py | jaythecaesarean/bitmovin-api-sdk-python | 48166511fcb9082041c552ace55a9b66cc59b794 | [
"MIT"
] | 13 | 2020-01-02T14:58:18.000Z | 2022-03-26T12:10:30.000Z | from bitmovin_api_sdk.encoding.filters.scale.customdata.customdata_api import CustomdataApi
| 46 | 91 | 0.902174 | from bitmovin_api_sdk.encoding.filters.scale.customdata.customdata_api import CustomdataApi
| true | true |
1c431c2081e2256040933dc48463bcb4ec3b752b | 2,772 | py | Python | laueagle/yamllint/rules/comments.py | yetship/laueagle | c2a1e4e56fdeaff3c7bb9b104b960db6ebac2eba | [
"MIT"
] | 1 | 2018-05-07T10:19:00.000Z | 2018-05-07T10:19:00.000Z | laueagle/yamllint/rules/comments.py | yetship/laueagle | c2a1e4e56fdeaff3c7bb9b104b960db6ebac2eba | [
"MIT"
] | null | null | null | laueagle/yamllint/rules/comments.py | yetship/laueagle | c2a1e4e56fdeaff3c7bb9b104b960db6ebac2eba | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (C) 2016 Adrien Vergé
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This pro... | 30.8 | 79 | 0.643939 |
from ..linter import LintProblem
ID = 'comments'
TYPE = 'comment'
CONF = {'require-starting-space': bool,
'min-spaces-from-content': int}
def check(conf, comment):
if (conf['min-spaces-from-content'] != -1 and comment.is_inline() and
comment.pointer - comment.token_before.end_mark.pointer... | true | true |
1c431d3e30546faa9501c46b5a246dec7d3c2ce2 | 520 | py | Python | Geometry/HGCalGeometry/python/hgcalTestNeighbor_cfi.py | NTrevisani/cmssw | a212a27526f34eb9507cf8b875c93896e6544781 | [
"Apache-2.0"
] | 3 | 2018-08-24T19:10:26.000Z | 2019-02-19T11:45:32.000Z | Geometry/HGCalGeometry/python/hgcalTestNeighbor_cfi.py | NTrevisani/cmssw | a212a27526f34eb9507cf8b875c93896e6544781 | [
"Apache-2.0"
] | 26 | 2018-10-30T12:47:58.000Z | 2022-03-29T08:39:00.000Z | Geometry/HGCalGeometry/python/hgcalTestNeighbor_cfi.py | NTrevisani/cmssw | a212a27526f34eb9507cf8b875c93896e6544781 | [
"Apache-2.0"
] | 5 | 2018-08-21T16:37:52.000Z | 2020-01-09T13:33:17.000Z | import FWCore.ParameterSet.Config as cms
from Geometry.HGCalGeometry.hgcalEETestNeighbor_cfi import *
hgcalHEFTestNeighbor = hgcalEETestNeighbor.clone(
detector = cms.string("HGCalHESiliconSensitive"))
hgcalHEBTestNeighbor = hgcalEETestNeighbor.clone(
detector = cms.string("HCal"))
from Configuration.Eras.M... | 32.5 | 77 | 0.755769 | import FWCore.ParameterSet.Config as cms
from Geometry.HGCalGeometry.hgcalEETestNeighbor_cfi import *
hgcalHEFTestNeighbor = hgcalEETestNeighbor.clone(
detector = cms.string("HGCalHESiliconSensitive"))
hgcalHEBTestNeighbor = hgcalEETestNeighbor.clone(
detector = cms.string("HCal"))
from Configuration.Eras.M... | true | true |
1c431e26738e68771508430d0d0ebbb022437bb7 | 8,609 | py | Python | kornia/filters/motion.py | Manza12/kornia | 580bbbffc771470445de27a7957d970b5a606172 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2021-08-31T06:04:28.000Z | 2021-08-31T06:04:28.000Z | kornia/filters/motion.py | Manza12/kornia | 580bbbffc771470445de27a7957d970b5a606172 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | kornia/filters/motion.py | Manza12/kornia | 580bbbffc771470445de27a7957d970b5a606172 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | from typing import Tuple, Union
import torch
import torch.nn as nn
import kornia
from kornia.filters.kernels_geometry import get_motion_kernel2d, get_motion_kernel3d
class MotionBlur(nn.Module):
r"""Blur 2D images (4D tensor) using the motion filter.
Args:
kernel_size (int): motion kernel width and... | 44.376289 | 117 | 0.619352 | from typing import Tuple, Union
import torch
import torch.nn as nn
import kornia
from kornia.filters.kernels_geometry import get_motion_kernel2d, get_motion_kernel3d
class MotionBlur(nn.Module):
def __init__(self, kernel_size: int, angle: float, direction: float, border_type: str = 'constant') -> None:
... | true | true |
1c431e5e2201f855831bb4ec0c36521e9a0108ea | 60,380 | py | Python | desktop/core/ext-py/Django-1.11.20/tests/forms_tests/tests/test_formsets.py | maulikjs/hue | 59ac879b55bb6fb26ecb4e85f4c70836fc21173f | [
"Apache-2.0"
] | 5,079 | 2015-01-01T03:39:46.000Z | 2022-03-31T07:38:22.000Z | tests/forms_tests/tests/test_formsets.py | 287977288/test | 142e3626ab3c676574631383ae6b5a4eced5a10e | [
"PSF-2.0",
"BSD-3-Clause"
] | 1,623 | 2015-01-01T08:06:24.000Z | 2022-03-30T19:48:52.000Z | tests/forms_tests/tests/test_formsets.py | 287977288/test | 142e3626ab3c676574631383ae6b5a4eced5a10e | [
"PSF-2.0",
"BSD-3-Clause"
] | 2,033 | 2015-01-04T07:18:02.000Z | 2022-03-28T19:55:47.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import datetime
from collections import Counter
from django.forms import (
BaseForm, CharField, DateField, FileField, Form, IntegerField,
SplitDateTimeField, ValidationError, formsets,
)
from django.forms.formsets import BaseFormSet, formset_fact... | 42.431483 | 119 | 0.603163 | from __future__ import unicode_literals
import datetime
from collections import Counter
from django.forms import (
BaseForm, CharField, DateField, FileField, Form, IntegerField,
SplitDateTimeField, ValidationError, formsets,
)
from django.forms.formsets import BaseFormSet, formset_factory
from django.forms.ut... | true | true |
1c431e9494b623ae6f2fdbb6c1b0e694576fc004 | 2,641 | py | Python | module4-acid-and-database-scalability-tradeoffs/Assignment/assignment_mongo.py | singparvi/DS-Unit-3-Sprint-2-SQL-and-Databases | 7d61f09a410ea91731caddb4fcc96b84cb9b0221 | [
"MIT"
] | null | null | null | module4-acid-and-database-scalability-tradeoffs/Assignment/assignment_mongo.py | singparvi/DS-Unit-3-Sprint-2-SQL-and-Databases | 7d61f09a410ea91731caddb4fcc96b84cb9b0221 | [
"MIT"
] | null | null | null | module4-acid-and-database-scalability-tradeoffs/Assignment/assignment_mongo.py | singparvi/DS-Unit-3-Sprint-2-SQL-and-Databases | 7d61f09a410ea91731caddb4fcc96b84cb9b0221 | [
"MIT"
] | null | null | null | import pymongo
# now make a connection with mongo db and test connection
mongo_client = pymongo.MongoClient(
'mongodb+srv://singparvi:qwerty12345@cluster0.l0ldo.mongodb.net/myFirstDatabase?retryWrites=true&w=majority')
rpg_collections = mongo_client.myFirstDatabase.rpg_collections
# How many total Characters are ... | 33.43038 | 113 | 0.711094 | import pymongo
mongo_client = pymongo.MongoClient(
'mongodb+srv://singparvi:qwerty12345@cluster0.l0ldo.mongodb.net/myFirstDatabase?retryWrites=true&w=majority')
rpg_collections = mongo_client.myFirstDatabase.rpg_collections
print('How many total Characters are there?: ', rpg_collections.count())
print("\n")
item... | true | true |
1c431e9d9998ea751e1c2815fa1a80b524b7e566 | 2,388 | py | Python | var/spack/repos/builtin/packages/expect/package.py | williamfgc/spack | c8c795e7dbde22dc47c9ae285a4dd59004b115b1 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | null | null | null | var/spack/repos/builtin/packages/expect/package.py | williamfgc/spack | c8c795e7dbde22dc47c9ae285a4dd59004b115b1 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | null | null | null | var/spack/repos/builtin/packages/expect/package.py | williamfgc/spack | c8c795e7dbde22dc47c9ae285a4dd59004b115b1 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | null | null | null | # Copyright 2013-2019 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
import glob
import os
class Expect(AutotoolsPackage):
"""Expect is a tool for automating interac... | 32.712329 | 101 | 0.64196 |
from spack import *
import glob
import os
class Expect(AutotoolsPackage):
homepage = "http://expect.sourceforge.net/"
url = "https://sourceforge.net/projects/expect/files/Expect/5.45/expect5.45.tar.gz/download"
version('5.45', '44e1a4f4c877e9ddc5a542dfa7ecc92b')
depends_on('tcl')
depends... | true | true |
1c431ed63ca861ca01aa3f842b457ff21544124b | 4,462 | py | Python | gepify/services/mobile_api/views.py | nvlbg/gepify | 2e937535e2835f6bd47cd8a6026dc7fe2c6c58ca | [
"MIT"
] | 7 | 2016-07-01T00:27:02.000Z | 2019-07-27T18:07:22.000Z | gepify/services/mobile_api/views.py | nvlbg/gepify | 2e937535e2835f6bd47cd8a6026dc7fe2c6c58ca | [
"MIT"
] | 5 | 2016-08-13T10:40:43.000Z | 2021-04-30T20:44:54.000Z | gepify/services/mobile_api/views.py | nvlbg/gepify | 2e937535e2835f6bd47cd8a6026dc7fe2c6c58ca | [
"MIT"
] | null | null | null | from . import mobile_api_service
from flask import request, current_app, jsonify
from .view_decorators import access_key_required
from gepify.providers import (
songs, SUPPORTED_FORMATS, SUPPORTED_PROVIDERS, MIMETYPES
)
from gepify.services.spotify.models import (
SPOTIFY_AUTHORIZATION_DATA
)
import requests
im... | 34.859375 | 78 | 0.636486 | from . import mobile_api_service
from flask import request, current_app, jsonify
from .view_decorators import access_key_required
from gepify.providers import (
songs, SUPPORTED_FORMATS, SUPPORTED_PROVIDERS, MIMETYPES
)
from gepify.services.spotify.models import (
SPOTIFY_AUTHORIZATION_DATA
)
import requests
im... | true | true |
1c431f161f6d7ee8e4a8f7bd87cf3977a6535807 | 179 | py | Python | npy2h5py.py | rahmanabir/BanglaNLP | 6a2c03fd30ce277c344093b54674c00774f0bc44 | [
"MIT"
] | 1 | 2021-12-25T18:23:26.000Z | 2021-12-25T18:23:26.000Z | npy2h5py.py | rahmanabir/BanglaNLP | 6a2c03fd30ce277c344093b54674c00774f0bc44 | [
"MIT"
] | null | null | null | npy2h5py.py | rahmanabir/BanglaNLP | 6a2c03fd30ce277c344093b54674c00774f0bc44 | [
"MIT"
] | 1 | 2019-12-25T12:05:40.000Z | 2019-12-25T12:05:40.000Z | ############
# @desc:
# Codebase that deals with converting .npy files into h5py files for more efficient dataloader,
import pandas as pd
import numpy as np
import h5py
| 17.9 | 101 | 0.687151 |
import pandas as pd
import numpy as np
import h5py
| true | true |
1c4320f44c460f4434ca770e8eff950080373dd1 | 1,221 | py | Python | src/Route.py | ganemone/sublime-bart | 1fcd72062914891cffac840d814eb129ebd43edf | [
"MIT"
] | 6 | 2015-02-22T17:40:33.000Z | 2016-07-11T19:18:37.000Z | src/Route.py | ganemone/sublime-bart | 1fcd72062914891cffac840d814eb129ebd43edf | [
"MIT"
] | null | null | null | src/Route.py | ganemone/sublime-bart | 1fcd72062914891cffac840d814eb129ebd43edf | [
"MIT"
] | 1 | 2017-07-06T15:27:20.000Z | 2017-07-06T15:27:20.000Z | from .stations import station_map
class Route:
def __init__(self, trip_attrs, legs):
self.origin = trip_attrs['origin']
self.destination = trip_attrs['destination']
self.fare = trip_attrs['fare']
self.departs = trip_attrs['origTimeMin']
self.arrives = trip_attrs['destTimeM... | 29.071429 | 63 | 0.562654 | from .stations import station_map
class Route:
def __init__(self, trip_attrs, legs):
self.origin = trip_attrs['origin']
self.destination = trip_attrs['destination']
self.fare = trip_attrs['fare']
self.departs = trip_attrs['origTimeMin']
self.arrives = trip_attrs['destTimeM... | true | true |
1c4321b177e5119519cffe391b90b022962114aa | 2,203 | py | Python | torchfly_dev/common/logging_util.py | ECS-251-W2020/final-project-TorchFly | 69f60b337c5dec0b1cd8315c194bc7891ba98d3a | [
"MIT"
] | null | null | null | torchfly_dev/common/logging_util.py | ECS-251-W2020/final-project-TorchFly | 69f60b337c5dec0b1cd8315c194bc7891ba98d3a | [
"MIT"
] | 3 | 2021-06-08T21:07:12.000Z | 2021-12-13T20:41:53.000Z | torchfly_dev/common/logging_util.py | ECS-251-W2020/final-project-TorchFly | 69f60b337c5dec0b1cd8315c194bc7891ba98d3a | [
"MIT"
] | 1 | 2020-02-19T00:53:21.000Z | 2020-02-19T00:53:21.000Z | import os
import sys
import hydra
import hydra.utils
import logging
import colorlog
from omegaconf import DictConfig
logger = logging.getLogger(__name__)
def configure_logging(config: DictConfig = None) -> None:
"""
This function initializes the logging. It is recommended to use Hydra to
configure the t... | 31.927536 | 126 | 0.588743 | import os
import sys
import hydra
import hydra.utils
import logging
import colorlog
from omegaconf import DictConfig
logger = logging.getLogger(__name__)
def configure_logging(config: DictConfig = None) -> None:
if config is None:
config = DictConfig(
{
"logging": {
... | true | true |
1c4321b5f6b36299cb5ed89abcc3d03be5c90012 | 1,496 | py | Python | nova/api/openstack/compute/floating_ip_dns.py | zjzh/nova | 7bb21723171c59b93e28f5d508c2b6df39220f13 | [
"Apache-2.0"
] | 1,874 | 2015-01-04T05:18:34.000Z | 2022-03-31T03:30:28.000Z | nova/api/openstack/compute/floating_ip_dns.py | woraser/nova | fc3890667e4971e3f0f35ac921c2a6c25f72adec | [
"Apache-2.0"
] | 132 | 2017-03-27T11:31:52.000Z | 2022-03-30T08:45:02.000Z | nova/api/openstack/compute/floating_ip_dns.py | woraser/nova | fc3890667e4971e3f0f35ac921c2a6c25f72adec | [
"Apache-2.0"
] | 1,996 | 2015-01-04T15:11:51.000Z | 2022-03-31T11:03:13.000Z | # Copyright 2011 Andrew Bogott for the Wikimedia 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 requi... | 29.92 | 78 | 0.696524 |
from webob import exc
from nova.api.openstack import wsgi
class FloatingIPDNSDomainController(wsgi.Controller):
@wsgi.expected_errors(410)
def index(self, req):
raise exc.HTTPGone()
@wsgi.expected_errors(410)
def update(self, req, id, body):
raise exc.HTTPGone()
@wsgi.expected... | true | true |
1c432237b4b147a44df931ffd24b32203bcf57f0 | 2,493 | py | Python | meggie/actions/tfr_save_tse/__init__.py | Teekuningas/meggie | 0790559febb990a5487d4f0c92987066632e1d99 | [
"BSD-2-Clause-FreeBSD"
] | 4 | 2020-04-29T08:57:11.000Z | 2021-01-15T21:21:51.000Z | meggie/actions/tfr_save_tse/__init__.py | Teekuningas/meggie | 0790559febb990a5487d4f0c92987066632e1d99 | [
"BSD-2-Clause-FreeBSD"
] | 16 | 2019-05-03T10:31:16.000Z | 2021-05-06T14:59:55.000Z | meggie/actions/tfr_save_tse/__init__.py | cibr-jyu/meggie | 0790559febb990a5487d4f0c92987066632e1d99 | [
"BSD-2-Clause-FreeBSD"
] | 3 | 2020-12-12T09:57:00.000Z | 2020-12-20T17:12:05.000Z | """ Contains save tse action handling.
"""
from meggie.utilities.messaging import exc_messagebox
from meggie.utilities.messaging import messagebox
from meggie.utilities.names import next_available_name
from meggie.utilities.channels import get_channels_by_type
from meggie.utilities.validators import assert_arrays_same... | 36.130435 | 80 | 0.639791 |
from meggie.utilities.messaging import exc_messagebox
from meggie.utilities.messaging import messagebox
from meggie.utilities.names import next_available_name
from meggie.utilities.channels import get_channels_by_type
from meggie.utilities.validators import assert_arrays_same
from meggie.mainwindow.dynamic import Act... | true | true |
1c432292140d1410b9ad6d30040f346e295f781e | 13,290 | py | Python | numpyro/infer/kernels.py | ahmadsalim/numpyro | 015c80ddd24cf6bc89006fc3a70b424fecd09331 | [
"Apache-2.0"
] | 3 | 2020-08-25T14:31:08.000Z | 2020-08-26T02:23:08.000Z | numpyro/infer/kernels.py | ahmadsalim/numpyro | 015c80ddd24cf6bc89006fc3a70b424fecd09331 | [
"Apache-2.0"
] | null | null | null | numpyro/infer/kernels.py | ahmadsalim/numpyro | 015c80ddd24cf6bc89006fc3a70b424fecd09331 | [
"Apache-2.0"
] | 1 | 2020-09-11T10:08:27.000Z | 2020-09-11T10:08:27.000Z | from abc import ABC, abstractmethod
from typing import Callable, List, Dict, Tuple
import numpy as np
import numpy.random as npr
import jax.numpy as jnp
import jax.scipy.stats
import jax.scipy.linalg
import numpyro.distributions as dist
from numpyro.util import sqrth, posdef, safe_norm
class PrecondMatrix(ABC):
@... | 41.401869 | 158 | 0.633785 | from abc import ABC, abstractmethod
from typing import Callable, List, Dict, Tuple
import numpy as np
import numpy.random as npr
import jax.numpy as jnp
import jax.scipy.stats
import jax.scipy.linalg
import numpyro.distributions as dist
from numpyro.util import sqrth, posdef, safe_norm
class PrecondMatrix(ABC):
@... | true | true |
1c43236975e8ef43c2b62f02abe76fd6e5c37eed | 1,369 | py | Python | platforms/m3/pre_v21e/software/mbc_code/triggers/auto_time_gen.py | lab11/M-ulator | 95b49c6194678c74accca4a20af71380efbcac5f | [
"Apache-2.0",
"MIT"
] | 19 | 2015-01-26T10:47:23.000Z | 2021-08-13T11:07:54.000Z | platforms/m3/pre_v21e/software/mbc_code_v6_3/triggers/auto_time_gen.py | lab11/M-ulator | 95b49c6194678c74accca4a20af71380efbcac5f | [
"Apache-2.0",
"MIT"
] | 14 | 2015-08-24T02:35:46.000Z | 2021-05-05T03:53:44.000Z | platforms/m3/pre_v21e/software/mbc_code/triggers/auto_time_gen.py | lab11/M-ulator | 95b49c6194678c74accca4a20af71380efbcac5f | [
"Apache-2.0",
"MIT"
] | 9 | 2015-05-27T23:27:35.000Z | 2020-10-05T22:02:43.000Z | import time
from datetime import datetime
import os
import sys
from file_gen import set_trigger
import yaml
trigger_dir = sys.argv[1]
out_dir = os.path.dirname(os.path.abspath(__file__)) + '/' + trigger_dir + '/'
config_file = out_dir + 'trigger_configs.yaml'
with open(config_file, 'r') as file:
l = yaml.load(fil... | 26.326923 | 178 | 0.622352 | import time
from datetime import datetime
import os
import sys
from file_gen import set_trigger
import yaml
trigger_dir = sys.argv[1]
out_dir = os.path.dirname(os.path.abspath(__file__)) + '/' + trigger_dir + '/'
config_file = out_dir + 'trigger_configs.yaml'
with open(config_file, 'r') as file:
l = yaml.load(fil... | true | true |
1c432438bcef24f17a6ee9fccf6bda104862d862 | 17,213 | py | Python | tensorflow_graphics/geometry/convolution/utils.py | prafael18/graphics | 2f250a53431697cfb43fd1edf61a2d965b20c596 | [
"Apache-2.0"
] | 2 | 2021-01-06T03:24:47.000Z | 2021-01-07T06:39:54.000Z | tensorflow_graphics/geometry/convolution/utils.py | prafael18/graphics | 2f250a53431697cfb43fd1edf61a2d965b20c596 | [
"Apache-2.0"
] | 1 | 2021-02-24T10:36:11.000Z | 2021-02-24T10:36:11.000Z | tensorflow_graphics/geometry/convolution/utils.py | isabella232/graphics-1 | d5c26cf05125e5c096f5b2cde6c85f88c7df2d59 | [
"Apache-2.0"
] | 1 | 2021-10-11T09:10:56.000Z | 2021-10-11T09:10:56.000Z | # Copyright 2020 The TensorFlow Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | 37.419565 | 81 | 0.630338 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
from tensorflow_graphics.util import shape
def _is_dynamic_shape(tensors):
if not isinstance(tensors, (list, tuple)):
raise ValueError("'tensors' must be list of tuple.")
ret... | true | true |
1c43253d4f94cba7de19dd591bd349e829976301 | 20,956 | py | Python | pensa/statesinfo/discrete_states.py | drorlab/pensa | 0d4c138793d6e4f05f85cb9ece2bf4f0ddc1882f | [
"MIT"
] | 55 | 2020-11-18T07:03:46.000Z | 2022-03-29T02:47:10.000Z | pensa/statesinfo/discrete_states.py | drorlab/pensa | 0d4c138793d6e4f05f85cb9ece2bf4f0ddc1882f | [
"MIT"
] | 11 | 2020-11-18T16:43:43.000Z | 2022-02-22T20:02:22.000Z | pensa/statesinfo/discrete_states.py | drorlab/pensa | 0d4c138793d6e4f05f85cb9ece2bf4f0ddc1882f | [
"MIT"
] | 11 | 2020-11-19T04:34:36.000Z | 2022-03-01T23:48:57.000Z | import numpy as np
from queue import PriorityQueue
import math
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
from scipy.signal import argrelextrema
import os
from pensa.features import *
# -- Functions to cluster feature distributions into discrete states --
def _smooth(x,window_len,window=N... | 36.508711 | 261 | 0.644541 | import numpy as np
from queue import PriorityQueue
import math
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
from scipy.signal import argrelextrema
import os
from pensa.features import *
def _smooth(x,window_len,window=None):
if window is None:
window_type='hanning'
if x.ndim... | true | true |
1c4325ae6919f9ae41b7a7214ba23df6453cd811 | 291 | py | Python | networkx/algorithms/isomorphism/__init__.py | FrancescoBonacina/networkx | a73a610e0bbd6e13b183b15ca47b221df5f8e26a | [
"BSD-3-Clause"
] | 10 | 2020-04-29T10:38:03.000Z | 2022-03-16T03:30:28.000Z | networkx/algorithms/isomorphism/__init__.py | FrancescoBonacina/networkx | a73a610e0bbd6e13b183b15ca47b221df5f8e26a | [
"BSD-3-Clause"
] | 30 | 2020-04-15T19:37:40.000Z | 2020-04-22T21:19:35.000Z | networkx/algorithms/isomorphism/__init__.py | FrancescoBonacina/networkx | a73a610e0bbd6e13b183b15ca47b221df5f8e26a | [
"BSD-3-Clause"
] | 2 | 2020-04-08T07:50:23.000Z | 2020-04-08T11:59:03.000Z | from networkx.algorithms.isomorphism.isomorph import *
from networkx.algorithms.isomorphism.vf2userfunc import *
from networkx.algorithms.isomorphism.matchhelpers import *
from networkx.algorithms.isomorphism.temporalisomorphvf2 import *
from networkx.algorithms.isomorphism.ismags import *
| 48.5 | 65 | 0.862543 | from networkx.algorithms.isomorphism.isomorph import *
from networkx.algorithms.isomorphism.vf2userfunc import *
from networkx.algorithms.isomorphism.matchhelpers import *
from networkx.algorithms.isomorphism.temporalisomorphvf2 import *
from networkx.algorithms.isomorphism.ismags import *
| true | true |
1c432939ac64eb0fbfab497b70dd63da3ec4d5ff | 606 | py | Python | OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/raw/GLES2/NV/shadow_samplers_cube.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/raw/GLES2/NV/shadow_samplers_cube.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/raw/GLES2/NV/shadow_samplers_cube.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | '''Autogenerated by xml_generate script, do not edit!'''
from OpenGL import platform as _p, arrays
# Code generation uses this
from OpenGL.raw.GLES2 import _types as _cs
# End users want this...
from OpenGL.raw.GLES2._types import *
from OpenGL.raw.GLES2 import _errors
from OpenGL.constant import Constant as _C
... | 37.875 | 127 | 0.793729 | from OpenGL import platform as _p, arrays
from OpenGL.raw.GLES2 import _types as _cs
from OpenGL.raw.GLES2._types import *
from OpenGL.raw.GLES2 import _errors
from OpenGL.constant import Constant as _C
import ctypes
_EXTENSION_NAME = 'GLES2_NV_shadow_samplers_cube'
def _f( function ):
return _p.createFun... | true | true |
1c43298bed00cdb37ea907188f0a6c7890f1ffd1 | 12,765 | py | Python | src/c3nav/editor/api.py | bate/c3nav | 9a86dd3eaeb3a10af3c5fa869575ed1e9300465a | [
"Apache-2.0"
] | null | null | null | src/c3nav/editor/api.py | bate/c3nav | 9a86dd3eaeb3a10af3c5fa869575ed1e9300465a | [
"Apache-2.0"
] | null | null | null | src/c3nav/editor/api.py | bate/c3nav | 9a86dd3eaeb3a10af3c5fa869575ed1e9300465a | [
"Apache-2.0"
] | null | null | null | from itertools import chain
from django.db.models import Prefetch, Q
from rest_framework.decorators import detail_route, list_route
from rest_framework.exceptions import PermissionDenied, ValidationError
from rest_framework.generics import get_object_or_404
from rest_framework.response import Response
from rest_framew... | 45.106007 | 119 | 0.627889 | from itertools import chain
from django.db.models import Prefetch, Q
from rest_framework.decorators import detail_route, list_route
from rest_framework.exceptions import PermissionDenied, ValidationError
from rest_framework.generics import get_object_or_404
from rest_framework.response import Response
from rest_framew... | true | true |
1c4329a9bd36f09a7c5e52e9bfeb15c30d5395fb | 3,766 | py | Python | python/smap/drivers/washingtonbpa.py | carlosduarteroa/smap | 5760631dfaf3e85da26ce68bf542bf254bb92c80 | [
"BSD-2-Clause"
] | null | null | null | python/smap/drivers/washingtonbpa.py | carlosduarteroa/smap | 5760631dfaf3e85da26ce68bf542bf254bb92c80 | [
"BSD-2-Clause"
] | null | null | null | python/smap/drivers/washingtonbpa.py | carlosduarteroa/smap | 5760631dfaf3e85da26ce68bf542bf254bb92c80 | [
"BSD-2-Clause"
] | null | null | null | """
Copyright (c) 2011, 2012, Regents of the University of California
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
- Redistributions of source code must retain the above copyright
notice, this l... | 44.305882 | 114 | 0.674721 | import urllib2
import logging
from smap.driver import SmapDriver
from smap.util import periodicSequentialCall
from smap.contrib import dtutil
class BPADriver(SmapDriver):
def setup(self, opts):
self.w = self.add_timeseries('/wind','MW',description='Total Wind Generation')
self.h = self.add_timese... | true | true |
1c4329acb597363d5b87ee67cdeb44ad2032ba5e | 517 | py | Python | reloadAll.py | elpie89/MaxToolsUpdater | a8ba5437b3005bbc79992f0ac7a8723b68680525 | [
"Apache-2.0"
] | null | null | null | reloadAll.py | elpie89/MaxToolsUpdater | a8ba5437b3005bbc79992f0ac7a8723b68680525 | [
"Apache-2.0"
] | null | null | null | reloadAll.py | elpie89/MaxToolsUpdater | a8ba5437b3005bbc79992f0ac7a8723b68680525 | [
"Apache-2.0"
] | null | null | null | import os # we use os.path.join, os.path.basename
import sys # we use sys.path
import glob # we use glob.glob
import importlib # we use importlib.import_module
projectFolder = os.path.join(os.path.dirname(__file__),"src")
sys.path.append(projectFolder) # this tells python to look in `import_folder` for imports
for src... | 43.083333 | 89 | 0.748549 | import os import sys import glob import importlib
projectFolder = os.path.join(os.path.dirname(__file__),"src")
sys.path.append(projectFolder) for src_file in glob.glob(os.path.join(projectFolder, '*.py')):
name = os.path.basename(src_file)[:-3]
importlib.import_module(name)
reload(sys.modules[name])
i... | true | true |
1c4329c02e4844c5e0af2d6a1ba24d97c83766f1 | 566 | py | Python | Python/PythonApp/rename.py | nanhuayu/hello-world | 4c97477d72cc5d46b65ab3a36b10f6b7dfff3e95 | [
"MIT"
] | null | null | null | Python/PythonApp/rename.py | nanhuayu/hello-world | 4c97477d72cc5d46b65ab3a36b10f6b7dfff3e95 | [
"MIT"
] | null | null | null | Python/PythonApp/rename.py | nanhuayu/hello-world | 4c97477d72cc5d46b65ab3a36b10f6b7dfff3e95 | [
"MIT"
] | null | null | null | #-*- coding: UTF-8 -*-
import os;
def rename():
count = 0;
path=os.getcwd();
filelist=os.listdir(path)#该文件夹下所有的文件（包括文件夹）
for files in filelist:#遍历所有文件
Olddir=os.path.join(path,files);#原来的文件路径
if os.path.isdir(Olddir):#如果是文件夹则跳过
continue;
filename=os.path.splitext(fi... | 25.727273 | 66 | 0.595406 | import os;
def rename():
count = 0;
path=os.getcwd();
filelist=os.listdir(path)
for files in filelist: Olddir=os.path.join(path,files); if os.path.isdir(Olddir): continue;
filename=os.path.splitext(files)[0]; filetype=os.path.splitext(files)[1]; if filetyp... | true | true |
1c432a70566fcc28b0fa0efcb500e4f4da1ac4c8 | 275 | py | Python | 17.Python for Automation/04.Automating with APIs/02.working_with_API_keys.py | ptyadana/python-dojo | 98c7234b84f0afea99a091c7198342d66bbdff5b | [
"MIT"
] | 3 | 2020-06-01T04:17:18.000Z | 2020-12-18T03:05:55.000Z | 17.Python for Automation/04.Automating with APIs/02.working_with_API_keys.py | ptyadana/python-dojo | 98c7234b84f0afea99a091c7198342d66bbdff5b | [
"MIT"
] | 1 | 2020-04-25T08:01:59.000Z | 2020-04-25T08:01:59.000Z | 17.Python for Automation/04.Automating with APIs/02.working_with_API_keys.py | ptyadana/python-dojo | 98c7234b84f0afea99a091c7198342d66bbdff5b | [
"MIT"
] | 7 | 2020-04-26T10:02:36.000Z | 2021-06-08T05:12:46.000Z | import requests
import json
base_url = "http://api.openweathermap.org/data/2.5/forecast"
APP_ID = "your_own_id"
parameters = {"appid": APP_ID, "q": "Singapore"}
response = requests.get(base_url, params=parameters)
print(json.dumps(json.loads(response.content), indent=1))
| 25 | 60 | 0.749091 | import requests
import json
base_url = "http://api.openweathermap.org/data/2.5/forecast"
APP_ID = "your_own_id"
parameters = {"appid": APP_ID, "q": "Singapore"}
response = requests.get(base_url, params=parameters)
print(json.dumps(json.loads(response.content), indent=1))
| true | true |
1c432a895617a75e605c71e8d82467918f9d18b3 | 1,287 | py | Python | brmflask/blueprints/static/views.py | BRMWebDev/BRMFlask | 203031aae8a2d2db3c435bb6b39ccda6a90913a1 | [
"MIT"
] | 1 | 2016-09-14T19:20:07.000Z | 2016-09-14T19:20:07.000Z | brmflask/blueprints/static/views.py | BRMWebDev/BRMFlask | 203031aae8a2d2db3c435bb6b39ccda6a90913a1 | [
"MIT"
] | 1 | 2018-06-12T14:06:01.000Z | 2018-06-12T14:06:01.000Z | brmflask/blueprints/static/views.py | brmullikin/BRMFlask | 203031aae8a2d2db3c435bb6b39ccda6a90913a1 | [
"MIT"
] | null | null | null | """Blueprint: static views."""
from flask import (
make_response,
render_template,
jsonify,
current_app,
abort
)
from brmflask.utils.routing import template_path
from . import static
@static.route('/list-configs')
def list_configs():
"""Return the config dictionary if in Debug mode."""
if ... | 25.74 | 76 | 0.61927 | from flask import (
make_response,
render_template,
jsonify,
current_app,
abort
)
from brmflask.utils.routing import template_path
from . import static
@static.route('/list-configs')
def list_configs():
if current_app.debug:
return jsonify(current_app.config)
else:
abort(40... | true | true |
1c432aaff07554254b56f50f567f20d8c2595cdc | 7,611 | py | Python | readability_transformers/features/lf/Syntactic/PhrF.py | OneTheta/readability-transformers | 3c122c98a90c67add8eafad16563b269d5e3124a | [
"Apache-2.0"
] | 1 | 2022-01-26T10:55:59.000Z | 2022-01-26T10:55:59.000Z | readability_transformers/features/lf/Syntactic/PhrF.py | OneTheta/readability-transformers | 3c122c98a90c67add8eafad16563b269d5e3124a | [
"Apache-2.0"
] | null | null | null | readability_transformers/features/lf/Syntactic/PhrF.py | OneTheta/readability-transformers | 3c122c98a90c67add8eafad16563b269d5e3124a | [
"Apache-2.0"
] | 2 | 2021-10-14T22:53:57.000Z | 2022-01-26T10:53:32.000Z | # -*- coding: UTF-8 -*-
"""
Software: LingFeat - Comprehensive Linguistic Features for Readability Assessment
Page: PhrF.py (Phrasal Features)
License: CC-BY-SA 4.0
Original Author: Bruce W. Lee (이웅성) @brucewlee
Affiliation 1: LXPER AI, Seoul, South Korea
Affiliation 2: University of Pennsylvania, PA, USA
Contributing... | 46.127273 | 190 | 0.681119 | from ..utils import division
def retrieve(SuPar, sent_token_list, n_token, n_sent):
to_NoPhr_C = 0
to_VePhr_C = 0
to_SuPhr_C = 0
to_PrPhr_C = 0
to_AjPhr_C = 0
to_AvPhr_C = 0
for sent in sent_token_list:
dataset = SuPar.predict([sent], prob=True, verbose=False)
parsed_tree = ... | true | true |
1c432b06b387490c72510d448aefe7e7c3c08760 | 949 | py | Python | arrays/kids_candies.py | wtlow003/leetcode-daily | e1d9c74b55e5b3106731a324d70a510e03b3b21f | [
"MIT"
] | null | null | null | arrays/kids_candies.py | wtlow003/leetcode-daily | e1d9c74b55e5b3106731a324d70a510e03b3b21f | [
"MIT"
] | null | null | null | arrays/kids_candies.py | wtlow003/leetcode-daily | e1d9c74b55e5b3106731a324d70a510e03b3b21f | [
"MIT"
] | 1 | 2022-01-05T17:52:41.000Z | 2022-01-05T17:52:41.000Z | """
1431. Kids With the Greatest Number of Candies
Given the array candies and the integer extraCandies,
where candies[i] represents the number of candies that the ith kid has.
For each kid check if there is a way to distribute extraCandies among the kids
such that he or she can have the greatest number of candies am... | 30.612903 | 83 | 0.724974 |
class Solution:
def kidsWithCandies(self, candies: List[int], extraCandies: int) -> List[bool]:
arr = []
for candy in candies:
increase_candy = candy + extraCandies
arr.append(increase_candy >= max(candies))
return arr
| true | true |
1c432b1c13b25e0bb055da76df5793b653390c8a | 3,345 | py | Python | setup.py | OceanPang/qdtrack | b905d2a599a87242d9cf3d01b1833eff155bf688 | [
"Apache-2.0"
] | 241 | 2020-11-28T03:28:03.000Z | 2022-03-31T13:27:01.000Z | setup.py | msg4rajesh/qdtrack | b28af06c7fdb6ce99b967302c0c7e9a557d508bf | [
"Apache-2.0"
] | 61 | 2020-12-11T20:04:18.000Z | 2022-03-05T13:49:05.000Z | setup.py | msg4rajesh/qdtrack | b28af06c7fdb6ce99b967302c0c7e9a557d508bf | [
"Apache-2.0"
] | 37 | 2020-12-26T08:41:54.000Z | 2022-03-29T21:52:44.000Z | import os
import subprocess
import time
from setuptools import find_packages, setup
def readme():
with open('README.md', encoding='utf-8') as f:
content = f.read()
return content
version_file = 'qdtrack/version.py'
def get_git_hash():
def _minimal_ext_cmd(cmd):
# construct minimal env... | 28.589744 | 77 | 0.571001 | import os
import subprocess
import time
from setuptools import find_packages, setup
def readme():
with open('README.md', encoding='utf-8') as f:
content = f.read()
return content
version_file = 'qdtrack/version.py'
def get_git_hash():
def _minimal_ext_cmd(cmd):
env = {}
... | true | true |
1c432b857ecf1b0513a984dd6a0888ac62e3d769 | 4,980 | py | Python | model_zoo/official/cv/retinanet/eval.py | kungfu-team/mindspore-bert | 71501cf52ae01db9d6a73fb64bcfe68a6509dc32 | [
"Apache-2.0"
] | 2 | 2021-07-08T13:10:42.000Z | 2021-11-08T02:48:57.000Z | model_zoo/official/cv/retinanet/eval.py | peixinhou/mindspore | fcb2ec2779b753e95c762cf292b23bd81d1f561b | [
"Apache-2.0"
] | null | null | null | model_zoo/official/cv/retinanet/eval.py | peixinhou/mindspore | fcb2ec2779b753e95c762cf292b23bd81d1f561b | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 43.684211 | 115 | 0.644779 |
import os
import argparse
import time
import numpy as np
from mindspore import context, Tensor
from mindspore.train.serialization import load_checkpoint, load_param_into_net
from src.retinanet import retinanet50, resnet50, retinanetInferWithDecoder
from src.dataset import create_retinanet_dataset, data_to_mindrecord... | true | true |
1c432bcae48e4b7101e228590bdfc40cee2ef124 | 1,622 | py | Python | CK_MainScript.py | KL-Turner/machL-Sleep-Scoring | 48a43bba32ee265b48b3fda666a1a92a2fe93032 | [
"MIT"
] | null | null | null | CK_MainScript.py | KL-Turner/machL-Sleep-Scoring | 48a43bba32ee265b48b3fda666a1a92a2fe93032 | [
"MIT"
] | null | null | null | CK_MainScript.py | KL-Turner/machL-Sleep-Scoring | 48a43bba32ee265b48b3fda666a1a92a2fe93032 | [
"MIT"
] | null | null | null | """
Written by Christina Echagarruga and Kevin L. Turner
Purpose: apply all the necessary pre-processing steps for the matlab -> python workflow to sleep score
Inputs: n matlab files with the extension PythonData.mat, and one file titled animalNotes_baselines.mat with the time indeces
and filenames for re... | 47.705882 | 130 | 0.795931 |
from PreProcData import ConvMAT2CSV
from PreProcData import CalcRestingBaselines
from PreProcData import NormalizeData
rootDir = '/Users/kevinturner/Documents/Jupyter Sleep Scoring/'
codeDir = '/Users/kevinturner/Documents/Core-Analysis/Spyder/'
ConvMAT2CSV(rootDir, codeDir)
uniqueDayArray = CalcRestingBaselines(ro... | true | true |
1c432ce5d445e34617ca5e5e4d09085f17c8434a | 5,251 | py | Python | src/sagemaker/mxnet/model.py | evanfwelch/sagemaker-python-sdk | 8b3d113a23c09995c6a6a5d12d4364e27bfd549d | [
"Apache-2.0"
] | null | null | null | src/sagemaker/mxnet/model.py | evanfwelch/sagemaker-python-sdk | 8b3d113a23c09995c6a6a5d12d4364e27bfd549d | [
"Apache-2.0"
] | 2 | 2018-04-09T17:53:10.000Z | 2018-04-09T17:53:38.000Z | src/sagemaker/mxnet/model.py | evanfwelch/sagemaker-python-sdk | 8b3d113a23c09995c6a6a5d12d4364e27bfd549d | [
"Apache-2.0"
] | null | null | null | # Copyright 2017-2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" fil... | 54.697917 | 118 | 0.703675 | from __future__ import absolute_import
import sagemaker
from sagemaker.fw_utils import create_image_uri, model_code_key_prefix
from sagemaker.model import FrameworkModel, MODEL_SERVER_WORKERS_PARAM_NAME
from sagemaker.mxnet.defaults import MXNET_VERSION
from sagemaker.predictor import RealTimePredictor, json_serialize... | true | true |
1c432e7d125192df507522f510ae7b88db0c26f1 | 83 | py | Python | import_coords/__main__.py | gwvsol/ImportingCSVtoPostgres | 0d23418b5f7c2c981b020d7e3d5a76905ebf0d45 | [
"MIT"
] | null | null | null | import_coords/__main__.py | gwvsol/ImportingCSVtoPostgres | 0d23418b5f7c2c981b020d7e3d5a76905ebf0d45 | [
"MIT"
] | null | null | null | import_coords/__main__.py | gwvsol/ImportingCSVtoPostgres | 0d23418b5f7c2c981b020d7e3d5a76905ebf0d45 | [
"MIT"
] | null | null | null | from .import_coords import run_import
if __name__ == "__main__":
run_import()
| 16.6 | 37 | 0.73494 | from .import_coords import run_import
if __name__ == "__main__":
run_import()
| true | true |
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