hexsha stringlengths 40 40 | size int64 6 1.04M | ext stringclasses 10
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 4 247 | max_stars_repo_name stringlengths 4 130 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 368k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 4 247 | max_issues_repo_name stringlengths 4 130 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 116k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 4 247 | max_forks_repo_name stringlengths 4 130 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 1 1.04M | avg_line_length float64 1.53 618k | max_line_length int64 1 1.02M | alphanum_fraction float64 0 1 | original_content stringlengths 6 1.04M | filtered:remove_non_ascii int64 0 538k | filtered:remove_decorators int64 0 917k | filtered:remove_async int64 0 722k | filtered:remove_classes int64 -45 1M | filtered:remove_generators int64 0 814k | filtered:remove_function_no_docstring int64 -102 850k | filtered:remove_class_no_docstring int64 -3 5.46k | filtered:remove_unused_imports int64 -1,350 52.4k | filtered:remove_delete_markers int64 0 59.6k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
faac24cf431579bec22a2a840c0759c39b7237d8 | 2,445 | py | Python | tests/test_hebrew_python.py | matan-h/hebrew-python | 28e6ab2d14fcada9ffe228660f47ef2af244ab2a | [
"BSD-4-Clause"
] | 1 | 2021-11-11T05:17:21.000Z | 2021-11-11T05:17:21.000Z | tests/test_hebrew_python.py | matan-h/hebrew-python | 28e6ab2d14fcada9ffe228660f47ef2af244ab2a | [
"BSD-4-Clause"
] | 1 | 2021-12-27T00:39:20.000Z | 2021-12-27T00:39:20.000Z | tests/test_hebrew_python.py | matan-h/hebrew-python | 28e6ab2d14fcada9ffe228660f47ef2af244ab2a | [
"BSD-4-Clause"
] | null | null | null | import sys
import unittest
# for debug the test:
true_stdout = sys.stdout
true_stderr = sys.stderr
DEBUG = False
if DEBUG:
from ddebug import dd
dd.add_output_folder(with_errors=False)
try:
import friendly_traceback
except ImportError:
friendly_traceback = None
if __name__ == '__main__':
unitte... | 27.47191 | 91 | 0.610634 | import builtins
import sys
import unittest
import hebrew_python.hook as hepy
from io import StringIO
from contextlib import contextmanager
import re
# for debug the test:
true_stdout = sys.stdout
true_stderr = sys.stderr
DEBUG = False
if DEBUG:
from ddebug import dd
dd.add_output_folder(with_errors=False)
tr... | 92 | 309 | 0 | 1,591 | 0 | 0 | 0 | 12 | 157 |
cac639136f54f0b421674840cca71ea62ce9f26d | 1,176 | py | Python | Q01__/46_LRU_Cache/Solution.py | hsclinical/leetcode | 48a57f6a5d5745199c5685cd2c8f5c4fa293e54a | [
"Apache-2.0"
] | null | null | null | Q01__/46_LRU_Cache/Solution.py | hsclinical/leetcode | 48a57f6a5d5745199c5685cd2c8f5c4fa293e54a | [
"Apache-2.0"
] | null | null | null | Q01__/46_LRU_Cache/Solution.py | hsclinical/leetcode | 48a57f6a5d5745199c5685cd2c8f5c4fa293e54a | [
"Apache-2.0"
] | null | null | null |
# Your LRUCache object will be instantiated and called as such:
# obj = LRUCache(capacity)
# param_1 = obj.get(key)
# obj.put(key,value) | 33.6 | 64 | 0.517857 | class LRUCache:
def __init__(self, capacity: int):
self.dataDict = {}
self.dataList = []
self.capacity = capacity
def get(self, key: int) -> int:
if key in self.dataList:
index = self.dataList.index(key)
if index != len(self.dataList) - 1:
... | 0 | 0 | 0 | 1,012 | 0 | 0 | 0 | 0 | 23 |
32d3f498b5b97c7424f3051a49ccac8f836f7aca | 4,115 | py | Python | astrom/kmtn-astrometry/kmtn_astrom.py | changsuchoi/cspy | 9fa8f125bed368f636ea19180e742f8304bbc432 | [
"MIT"
] | null | null | null | astrom/kmtn-astrometry/kmtn_astrom.py | changsuchoi/cspy | 9fa8f125bed368f636ea19180e742f8304bbc432 | [
"MIT"
] | null | null | null | astrom/kmtn-astrometry/kmtn_astrom.py | changsuchoi/cspy | 9fa8f125bed368f636ea19180e742f8304bbc432 | [
"MIT"
] | null | null | null | # python code for KMTNET data astrometry (specially CTIO data)
# read kmtnet_astrom.txt first to understand the order and process
# 2015.09.17 Changsu Choi
from astropy.io import ascii
import os
import astropy.units as u
import astropy.coordinates as coord
import astropy.units as u
#os.system('gethead kmtc.20150218... | 30.708955 | 380 | 0.72661 | # python code for KMTNET data astrometry (specially CTIO data)
# read kmtnet_astrom.txt first to understand the order and process
# 2015.09.17 Changsu Choi
from astropy.io import ascii
import numpy as np
import os,sys
from astropy.io import fits
import astropy.units as u
import astropy.coordinates as coord
import ast... | 0 | 0 | 0 | 0 | 0 | 1,952 | 0 | -9 | 134 |
da23ddba88a387143815bdc7741f07171f29808d | 823 | py | Python | sksurgeryspeech/ui/sksurgeryspeech_command_line.py | UCL/scikit-surgeryspeech | 4a2dcec3df98969a95863dc91fb5caaeb2d4a238 | [
"BSD-3-Clause"
] | null | null | null | sksurgeryspeech/ui/sksurgeryspeech_command_line.py | UCL/scikit-surgeryspeech | 4a2dcec3df98969a95863dc91fb5caaeb2d4a238 | [
"BSD-3-Clause"
] | 23 | 2020-06-15T11:06:17.000Z | 2020-12-01T14:41:44.000Z | sksurgeryspeech/ui/sksurgeryspeech_command_line.py | SciKit-Surgery/scikit-surgeryspeech | 4a2dcec3df98969a95863dc91fb5caaeb2d4a238 | [
"BSD-3-Clause"
] | null | null | null | # coding=utf-8
"""Command line processing"""
import argparse
from sksurgeryspeech import __version__
from sksurgeryspeech.ui import sksurgeryspeech_demo
def main(args=None):
"""Entry point for scikit-surgeryspeech application"""
parser = argparse.ArgumentParser(description='scikit-surgeryspeech')
ver... | 24.939394 | 77 | 0.708384 | # coding=utf-8
"""Command line processing"""
import argparse
from sksurgeryspeech import __version__
from sksurgeryspeech.ui import sksurgeryspeech_demo
def main(args=None):
"""Entry point for scikit-surgeryspeech application"""
parser = argparse.ArgumentParser(description='scikit-surgeryspeech')
ver... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b5579edae01fcdc963d77a96b7ec45ad274f61de | 4,862 | py | Python | scripts/pytorch_wrapper.py | JLivingston01/py_research | 928f74287039a933d27c5a5dc3df8db4cb79c152 | [
"MIT"
] | 1 | 2022-02-21T00:47:41.000Z | 2022-02-21T00:47:41.000Z | scripts/pytorch_wrapper.py | JLivingston01/py_research | 928f74287039a933d27c5a5dc3df8db4cb79c152 | [
"MIT"
] | null | null | null | scripts/pytorch_wrapper.py | JLivingston01/py_research | 928f74287039a933d27c5a5dc3df8db4cb79c152 | [
"MIT"
] | null | null | null |
import numpy as np
import pandas as pd
import torch
from torch import nn
X = np.random.normal(5,2,(10000,30))
Y = X@np.random.normal(1,2,30)
model = NeuralNetwork(
configuration= nn.Sequential(
nn.Linear(30,10),
nn.Sigmoid(),
nn.Linear(10,1)
... | 24.31 | 78 | 0.569724 |
import numpy as np
import pandas as pd
import torch
from torch import nn
from torch.utils.data import TensorDataset,DataLoader
class NeuralNetwork(nn.Module):
def __init__(self,
configuration,
loss_fn,
optimizer,
lr,
batch_s... | 0 | 0 | 0 | 2,344 | 0 | 0 | 0 | 32 | 45 |
b56b84899f7a80aac99a7d6d79d83e0d3df834a8 | 958 | py | Python | scraper/storage_spiders/kkfashionvn.py | chongiadung/choinho | d2a216fe7a5064d73cdee3e928a7beef7f511fd1 | [
"MIT"
] | null | null | null | scraper/storage_spiders/kkfashionvn.py | chongiadung/choinho | d2a216fe7a5064d73cdee3e928a7beef7f511fd1 | [
"MIT"
] | 10 | 2020-02-11T23:34:28.000Z | 2022-03-11T23:16:12.000Z | scraper/storage_spiders/kkfashionvn.py | chongiadung/choinho | d2a216fe7a5064d73cdee3e928a7beef7f511fd1 | [
"MIT"
] | 3 | 2018-08-05T14:54:25.000Z | 2021-06-07T01:49:59.000Z | # Auto generated by generator.py. Delete this line if you make modification.
from scrapy.spiders import Rule
from scrapy.linkextractors import LinkExtractor
XPATH = {
'name' : "//div[@class='mo-ta']/p[1]",
'price' : "//span[@class='item_price']",
'category' : "//div[@class='tieu-de']/h1/a",
'descriptio... | 35.481481 | 111 | 0.609603 | # Auto generated by generator.py. Delete this line if you make modification.
from scrapy.spiders import Rule
from scrapy.linkextractors import LinkExtractor
XPATH = {
'name' : "//div[@class='mo-ta']/p[1]",
'price' : "//span[@class='item_price']",
'category' : "//div[@class='tieu-de']/h1/a",
'descriptio... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
209e7d84d4d078f6bb157ff3081913b22bb20177 | 835 | py | Python | Python/benchmarking/struct_deserialization.py | felixbinder/tdw | eb2b00b74b9fcf8ef2dcba1baa62424640c520b1 | [
"BSD-2-Clause"
] | 307 | 2020-05-20T18:08:49.000Z | 2022-03-21T19:55:08.000Z | Python/benchmarking/struct_deserialization.py | felixbinder/tdw | eb2b00b74b9fcf8ef2dcba1baa62424640c520b1 | [
"BSD-2-Clause"
] | 92 | 2020-07-21T18:29:13.000Z | 2022-03-28T07:25:54.000Z | Python/benchmarking/struct_deserialization.py | felixbinder/tdw | eb2b00b74b9fcf8ef2dcba1baa62424640c520b1 | [
"BSD-2-Clause"
] | 53 | 2020-07-14T15:55:17.000Z | 2022-03-20T16:20:01.000Z | from time import time
from tdw.controller import Controller
from tdw.tdw_utils import TDWUtils
"""
Benchmark the speed of deserializing structs (such as Vector3 and Quaternion).
"""
if __name__ == "__main__":
o_id = 0
cmds = [{"$type": "teleport_object",
"position": {"x": 0, "y": 0, "z": 0},
... | 26.935484 | 78 | 0.553293 | from time import time
from tdw.controller import Controller
from tdw.tdw_utils import TDWUtils
"""
Benchmark the speed of deserializing structs (such as Vector3 and Quaternion).
"""
if __name__ == "__main__":
o_id = 0
cmds = [{"$type": "teleport_object",
"position": {"x": 0, "y": 0, "z": 0},
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f356fa4c071df3368258b586764b644585a00714 | 141 | py | Python | exercises/en/exc_01_03.py | kaseyhackspace/eng-course-sample | 0dd3821f34b9111eb4de8f0f24b7516061407caf | [
"MIT"
] | null | null | null | exercises/en/exc_01_03.py | kaseyhackspace/eng-course-sample | 0dd3821f34b9111eb4de8f0f24b7516061407caf | [
"MIT"
] | null | null | null | exercises/en/exc_01_03.py | kaseyhackspace/eng-course-sample | 0dd3821f34b9111eb4de8f0f24b7516061407caf | [
"MIT"
] | null | null | null | import numpy as np
q=__
l=__
x = np.linspace(0,l,__)
M = q/2*(l*x-x**2)
V = q*(1/2-x)
print("Moment")
print(__)
print("Shear")
print(__) | 10.071429 | 23 | 0.588652 | import numpy as np
q=__
l=__
x = np.linspace(0,l,__)
M = q/2*(l*x-x**2)
V = q*(1/2-x)
print("Moment")
print(__)
print("Shear")
print(__) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d74b5019d83c90d0f1d6c091d0a5982297146bcc | 350 | py | Python | SomeCode/Fibonacci_Sequence/fib_recursive.py | arthxvr/coding--python | 1e91707be6cb8fef816dad0c1a65f2cc3327357e | [
"MIT"
] | null | null | null | SomeCode/Fibonacci_Sequence/fib_recursive.py | arthxvr/coding--python | 1e91707be6cb8fef816dad0c1a65f2cc3327357e | [
"MIT"
] | null | null | null | SomeCode/Fibonacci_Sequence/fib_recursive.py | arthxvr/coding--python | 1e91707be6cb8fef816dad0c1a65f2cc3327357e | [
"MIT"
] | null | null | null |
for c in range(1, 50):
print(c, ":", fibonacci(c))
| 23.333333 | 52 | 0.52 | def fibonacci(n):
if type(n) != int:
raise TypeError('n must be a positive int')
if n < 1:
raise ValueError('n must be a positive int')
if n == 1:
return 1
elif n == 2:
return 2
elif n > 2:
return fibonacci(n - 1) + fibonacci(n - 2)
for c in range(1, 50):
... | 0 | 0 | 0 | 0 | 0 | 272 | 0 | 0 | 22 |
4a8e25813b907a40feaa1559a5f471ab13c22d1f | 3,194 | py | Python | experiments-tosem/rq1.py | testingautomated-usi/DeepHyperion | 698e27cdea7581055de0d5f02d0585053452ac8f | [
"MIT"
] | 5 | 2021-04-28T09:35:44.000Z | 2021-09-10T18:18:08.000Z | experiments-tosem/rq1.py | testingautomated-usi/DeepHyperion | 698e27cdea7581055de0d5f02d0585053452ac8f | [
"MIT"
] | null | null | null | experiments-tosem/rq1.py | testingautomated-usi/DeepHyperion | 698e27cdea7581055de0d5f02d0585053452ac8f | [
"MIT"
] | 2 | 2021-04-26T12:46:44.000Z | 2021-09-16T08:27:53.000Z | #
# This is the code for plotting the figures for RQ1. It is optimized towards plotting exactly those figures
# Use data_analysis.py for explorative data analysis
#
import matplotlib
matplotlib.rcParams['pdf.fonttype'] = 42
matplotlib.rcParams['ps.fonttype'] = 42
if __name__ == "__main__":
main()
| 38.95122 | 114 | 0.716969 | #
# This is the code for plotting the figures for RQ1. It is optimized towards plotting exactly those figures
# Use data_analysis.py for explorative data analysis
#
import matplotlib
matplotlib.rcParams['pdf.fonttype'] = 42
matplotlib.rcParams['ps.fonttype'] = 42
from plotting_utils import load_data_from_folder, creat... | 0 | 0 | 0 | 0 | 0 | 2,649 | 0 | 150 | 91 |
682b75ede6c09c1b14fd7011e3d65b73f93372df | 1,556 | py | Python | example/telegrambot.py | Nachtalb/django-telegrambot | 55aa2683e7453d7c65701fecdfcd029e86f34b7d | [
"BSD-3-Clause"
] | 245 | 2016-01-26T16:24:41.000Z | 2022-03-07T08:00:36.000Z | example/telegrambot.py | Nachtalb/django-telegrambot | 55aa2683e7453d7c65701fecdfcd029e86f34b7d | [
"BSD-3-Clause"
] | 49 | 2016-09-17T02:26:50.000Z | 2021-12-20T06:53:19.000Z | example/telegrambot.py | Nachtalb/django-telegrambot | 55aa2683e7453d7c65701fecdfcd029e86f34b7d | [
"BSD-3-Clause"
] | 97 | 2016-04-17T22:05:19.000Z | 2022-03-24T11:04:48.000Z | # -*- coding: utf-8 -*-
# Example code for telegrambot.py module
import logging
logger = logging.getLogger(__name__)
# Define a few command handlers. These usually take the two arguments bot and
# update. Error handlers also receive the raised TelegramError object in error.
| 31.12 | 91 | 0.726864 | # -*- coding: utf-8 -*-
# Example code for telegrambot.py module
from telegram.ext import CommandHandler, MessageHandler, Filters
from django_telegrambot.apps import DjangoTelegramBot
import logging
logger = logging.getLogger(__name__)
# Define a few command handlers. These usually take the two arguments bot and
# u... | 0 | 0 | 0 | 0 | 0 | 1,036 | 0 | 75 | 158 |
0332766a058a8145c7c4f524085c8c21f3bf51b0 | 1,558 | py | Python | core/face_alignment.py | zhaipro/yry | 81587179b40fafeb6c24ef58489c59061f7368ce | [
"Apache-2.0"
] | null | null | null | core/face_alignment.py | zhaipro/yry | 81587179b40fafeb6c24ef58489c59061f7368ce | [
"Apache-2.0"
] | null | null | null | core/face_alignment.py | zhaipro/yry | 81587179b40fafeb6c24ef58489c59061f7368ce | [
"Apache-2.0"
] | null | null | null | import os
from pathlib import Path
root_path = Path(__file__).parent
landmarks_model_path = os.path.join(root_path, 'shape_predictor_68_face_landmarks.dat')
landmarks_detector = LandmarksDetector(landmarks_model_path)
| 43.277778 | 130 | 0.595635 | import os
import dlib
from pathlib import Path
root_path = Path(__file__).parent
class LandmarksDetector:
def __init__(self, predictor_model_path):
"""
:param predictor_model_path: path to shape_predictor_68_face_landmarks.dat file
"""
self.detector = dlib.get_frontal_fa... | 0 | 0 | 0 | 1,291 | 0 | 0 | 0 | -10 | 48 |
6154f32c6c3c7577ec90b8c0271ec0cf22620436 | 4,210 | py | Python | app/paper/paperSigma/CONUS_map.py | fkwai/geolearn | 30cb4353d22af5020a48100d07ab04f465a315b0 | [
"MIT"
] | null | null | null | app/paper/paperSigma/CONUS_map.py | fkwai/geolearn | 30cb4353d22af5020a48100d07ab04f465a315b0 | [
"MIT"
] | null | null | null | app/paper/paperSigma/CONUS_map.py | fkwai/geolearn | 30cb4353d22af5020a48100d07ab04f465a315b0 | [
"MIT"
] | 2 | 2021-04-04T02:45:59.000Z | 2022-03-19T09:41:39.000Z | import os
import rnnSMAP
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import imp
imp.reload(rnnSMAP)
rnnSMAP.reload()
figTitleLst = ['Temporal Test', 'Spatial Test']
figNameLst = ['temporal', 'spatial']
matplotlib.rcParams.update({'font.size': 14})
matplotlib.rcParams.upda... | 32.635659 | 77 | 0.587648 | import os
import rnnSMAP
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import imp
imp.reload(rnnSMAP)
rnnSMAP.reload()
figTitleLst = ['Temporal Test', 'Spatial Test']
figNameLst = ['temporal', 'spatial']
matplotlib.rcParams.update({'font.size': 14})
matplotlib.rcParams.upda... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e3e55584798ccf7f1581a3f462a9c39c61dee078 | 15,483 | py | Python | src/crosswalks/make_crosswalk.py | jujiang526/mta | d8f01cb6ab1cfd74109937c7ac4d2a8ae8be6084 | [
"Apache-2.0"
] | 14 | 2020-06-12T00:22:29.000Z | 2022-03-20T07:46:28.000Z | src/crosswalks/make_crosswalk.py | jujiang526/mta | d8f01cb6ab1cfd74109937c7ac4d2a8ae8be6084 | [
"Apache-2.0"
] | 4 | 2020-08-07T18:20:24.000Z | 2022-02-08T15:43:55.000Z | src/crosswalks/make_crosswalk.py | jujiang526/mta | d8f01cb6ab1cfd74109937c7ac4d2a8ae8be6084 | [
"Apache-2.0"
] | 3 | 2020-07-03T15:41:22.000Z | 2021-09-26T19:24:45.000Z |
if __name__ == "__main__":
main() | 59.779923 | 182 | 0.613835 | import pandas as pd
import geopandas as gpd
import re
import textdistance
import numpy as np
import math
def make_ordinal(s):
ordinal = lambda n: "%d%s" % (n,"tsnrhtdd"[(math.floor(n/10)%10!=1)*(n%10<4)*n%10::4])
name_ord = []
for x in s:
x = x.title()
m = re.findall(r'\d+', x)
... | 0 | 0 | 0 | 0 | 0 | 15,293 | 0 | -27 | 178 |
0ba651c21a66e26b88a2cb551112680207e27de1 | 91 | py | Python | setup.py | wtnb75/tarjinja | f6ac83d8bde0f476274002ba01d7709568f9a529 | [
"MIT"
] | 3 | 2021-06-05T22:55:25.000Z | 2022-01-23T11:48:21.000Z | setup.py | wtnb75/tarjinja | f6ac83d8bde0f476274002ba01d7709568f9a529 | [
"MIT"
] | 6 | 2020-11-29T16:52:58.000Z | 2020-12-01T21:51:58.000Z | setup.py | wtnb75/tarjinja | f6ac83d8bde0f476274002ba01d7709568f9a529 | [
"MIT"
] | null | null | null | from setuptools import setup
setup(install_requires=open("requirements.txt").readlines())
| 22.75 | 60 | 0.813187 | from setuptools import setup
setup(install_requires=open("requirements.txt").readlines())
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
db88f9801fb7811f0a3219bfa14db8d66420f6dc | 35,685 | py | Python | sip-4.19.21/configure.py | Clynie/StockSpider-1 | 4d3bec01f581c4c8dd45af668ce8aab4c98685ba | [
"MIT"
] | null | null | null | sip-4.19.21/configure.py | Clynie/StockSpider-1 | 4d3bec01f581c4c8dd45af668ce8aab4c98685ba | [
"MIT"
] | null | null | null | sip-4.19.21/configure.py | Clynie/StockSpider-1 | 4d3bec01f581c4c8dd45af668ce8aab4c98685ba | [
"MIT"
] | null | null | null | # This script handles the SIP configuration and generates the Makefiles.
#
# Copyright (c) 2019 Riverbank Computing Limited <info@riverbankcomputing.com>
#
# This file is part of SIP.
#
# This copy of SIP is licensed for use under the terms of the SIP License
# Agreement. See the file LICENSE for more details.
#
# Thi... | 34.148325 | 151 | 0.612414 | # This script handles the SIP configuration and generates the Makefiles.
#
# Copyright (c) 2019 Riverbank Computing Limited <info@riverbankcomputing.com>
#
# This file is part of SIP.
#
# This copy of SIP is licensed for use under the terms of the SIP License
# Agreement. See the file LICENSE for more details.
#
# Thi... | 0 | 0 | 0 | 0 | 0 | 916 | 0 | 0 | 137 |
ea27b8518a7a50aa30fef48f4dcfe22e4fa2434b | 908 | py | Python | stix2matcher/test/test_object_path_quoting.py | clslgrnc/cti-pattern-matcher | bcd37eeb8c44e012ff1dbe4434c510f343575840 | [
"BSD-3-Clause"
] | 32 | 2017-02-22T14:54:01.000Z | 2022-02-21T09:10:02.000Z | stix2matcher/test/test_object_path_quoting.py | clslgrnc/cti-pattern-matcher | bcd37eeb8c44e012ff1dbe4434c510f343575840 | [
"BSD-3-Clause"
] | 44 | 2016-11-03T21:41:53.000Z | 2022-03-30T15:22:23.000Z | stix2matcher/test/test_object_path_quoting.py | clslgrnc/cti-pattern-matcher | bcd37eeb8c44e012ff1dbe4434c510f343575840 | [
"BSD-3-Clause"
] | 23 | 2016-11-07T19:03:13.000Z | 2021-06-10T10:12:36.000Z |
_observations = [
{
"type": "observed-data",
"first_observed": "2004-10-11T21:44:58Z",
"last_observed": "2004-10-11T21:44:58Z",
"number_observed": 1,
"objects": {
"0": {
"type": u"some-type",
"has-hyphen": 1,
"has.d... | 23.282051 | 49 | 0.562775 | import pytest
from stix2patterns.pattern import ParseException
from stix2matcher.matcher import match
_observations = [
{
"type": "observed-data",
"first_observed": "2004-10-11T21:44:58Z",
"last_observed": "2004-10-11T21:44:58Z",
"number_observed": 1,
"objects": {
... | 0 | 360 | 0 | 0 | 0 | 0 | 0 | 36 | 113 |
6f77ee6c621798575aa325b96f73f4cb76819cbc | 987 | py | Python | GitRangerLiu/0002/store_reldb.py | saurabh896/python-1 | f8d3aedf4c0fe6e24dfa3269ea7e642c9f7dd9b7 | [
"MIT"
] | 3,976 | 2015-01-01T15:49:39.000Z | 2022-03-31T03:47:56.000Z | GitRangerLiu/0002/store_reldb.py | dwh65416396/python | 1a7e3edd1cd3422cc0eaa55471a0b42e004a9a1a | [
"MIT"
] | 97 | 2015-01-11T02:59:46.000Z | 2022-03-16T14:01:56.000Z | GitRangerLiu/0002/store_reldb.py | dwh65416396/python | 1a7e3edd1cd3422cc0eaa55471a0b42e004a9a1a | [
"MIT"
] | 3,533 | 2015-01-01T06:19:30.000Z | 2022-03-28T13:14:54.000Z | #reference: https://www.tutorialspoint.com/python/python_database_access.htm
if __name__ == '__main__':
store_reldb()
| 25.973684 | 79 | 0.570415 | #reference: https://www.tutorialspoint.com/python/python_database_access.htm
import MySQLdb as mysqldb
def store_reldb():
db = mysqldb.connect(host = 'localhost', user = 'chris', passwd = '1314', \
db = 'show_me_the_code')
cursor = db.cursor()
#Create a table
cursor.execute('... | 0 | 0 | 0 | 0 | 0 | 810 | 0 | 4 | 46 |
ab5129ded6bb3b79a9f5e6771ecbe5565cc412bb | 775 | py | Python | examples/simple/routes/get_user.py | nekonoshiri/tiny-router | 3bb808bcc9f9eb368ee390179dfc5e9d48cf8600 | [
"MIT"
] | null | null | null | examples/simple/routes/get_user.py | nekonoshiri/tiny-router | 3bb808bcc9f9eb368ee390179dfc5e9d48cf8600 | [
"MIT"
] | null | null | null | examples/simple/routes/get_user.py | nekonoshiri/tiny-router | 3bb808bcc9f9eb368ee390179dfc5e9d48cf8600 | [
"MIT"
] | null | null | null | from ..router import Router
router = Router()
| 25 | 76 | 0.654194 | import json
from typing import Any, Dict
from ..request import Request
from ..response import Response
from ..router import Router
router = Router()
@router.get("/users/{user_id}")
def get_user(request: Request) -> Response:
user_id = request.path_parameters.get("user_id")
if not user_id:
return Re... | 0 | 390 | 0 | 0 | 0 | 186 | 0 | 15 | 135 |
c32d8594788213d0081bff4ce0cd3bedd23da94d | 350 | py | Python | E033/main.py | alperkonuralp/AlperIlePython | 64e4940648a74306951dbfd97b593cfbcd94b7f6 | [
"Apache-2.0"
] | 1 | 2021-01-30T16:50:40.000Z | 2021-01-30T16:50:40.000Z | E033/main.py | alperkonuralp/AlperIlePython | 64e4940648a74306951dbfd97b593cfbcd94b7f6 | [
"Apache-2.0"
] | null | null | null | E033/main.py | alperkonuralp/AlperIlePython | 64e4940648a74306951dbfd97b593cfbcd94b7f6 | [
"Apache-2.0"
] | null | null | null | import os
filename = os.path.join(os.getcwd(), "data.json")
# f = open(filename)
with open(filename, mode="w") as f:
print("name :", f.name)
print("mode :", f.mode)
print("buffer :", f.buffer)
print("encoding :", f.encoding)
print("closed :", f.closed)
print("errors :", f.errors)
... | 23.333333 | 50 | 0.574286 | import os
filename = os.path.join(os.getcwd(), "data.json")
# f = open(filename)
with open(filename, mode="w") as f:
print("name :", f.name)
print("mode :", f.mode)
print("buffer :", f.buffer)
print("encoding :", f.encoding)
print("closed :", f.closed)
print("errors :", f.errors)
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f0884fef8ad8756af5861bcee7d27f5a89b2c466 | 931 | py | Python | setup.py | jmtapio/not-co-logger | 2556b874511e583e483d84f1b5bbcec4cb0d74ba | [
"MIT"
] | 1 | 2020-04-23T06:17:11.000Z | 2020-04-23T06:17:11.000Z | setup.py | jmtapio/not-co-logger | 2556b874511e583e483d84f1b5bbcec4cb0d74ba | [
"MIT"
] | null | null | null | setup.py | jmtapio/not-co-logger | 2556b874511e583e483d84f1b5bbcec4cb0d74ba | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from setuptools import setup
setup(
name='notcologger',
version='0.1.2',
description='Not CO Logger, a cloud logging library.',
long_description=
'''This library is aimed at helping produce consistent searchable log
entries to stdout in a cloud/container environment.''',
k... | 30.032258 | 70 | 0.649839 | #!/usr/bin/env python3
from setuptools import setup
setup(
name='notcologger',
version='0.1.2',
description='Not CO Logger, a cloud logging library.',
long_description=
'''This library is aimed at helping produce consistent searchable log
entries to stdout in a cloud/container environment.''',
k... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
846c34c251c0cbeffeac8f6640cbae570766595b | 1,359 | py | Python | src/sensai/tensorflow/tf_mlp.py | schroedk/sensAI | a2d6d7c6ab7bed9ccd5eac216dd988c49d69aec7 | [
"MIT"
] | 10 | 2020-02-19T09:16:54.000Z | 2022-02-04T16:19:33.000Z | src/sensai/tensorflow/tf_mlp.py | schroedk/sensAI | a2d6d7c6ab7bed9ccd5eac216dd988c49d69aec7 | [
"MIT"
] | 47 | 2020-03-11T16:26:51.000Z | 2022-02-04T15:29:40.000Z | src/sensai/tensorflow/tf_mlp.py | schroedk/sensAI | a2d6d7c6ab7bed9ccd5eac216dd988c49d69aec7 | [
"MIT"
] | 5 | 2020-03-12T21:33:22.000Z | 2020-12-21T14:43:04.000Z | from .. import normalisation
| 46.862069 | 123 | 0.727005 | from tensorflow import keras
from .tf_base import KerasVectorRegressionModel
from .. import normalisation
class KerasMultiLayerPerceptronVectorRegressionModel(KerasVectorRegressionModel):
def __init__(self, hiddenDims=(5,5), hiddenActivation="sigmoid", outputActivation="sigmoid", loss="mse",
metrics=... | 0 | 0 | 0 | 1,226 | 0 | 0 | 0 | 33 | 68 |
06f624c430991a082034d586c733777b98be2ca9 | 1,998 | py | Python | run_scripts/convert_pmg_xsec_db.py | morgenst/PyAnalysisTools | f3b1f89870e7bbae1549c228a56d2c36bbba7af3 | [
"MIT"
] | null | null | null | run_scripts/convert_pmg_xsec_db.py | morgenst/PyAnalysisTools | f3b1f89870e7bbae1549c228a56d2c36bbba7af3 | [
"MIT"
] | null | null | null | run_scripts/convert_pmg_xsec_db.py | morgenst/PyAnalysisTools | f3b1f89870e7bbae1549c228a56d2c36bbba7af3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from __future__ import print_function
import sys
if __name__ == '__main__':
main(sys.argv[1:])
| 39.176471 | 110 | 0.5996 | #!/usr/bin/env python
from __future__ import print_function
import sys
from PyAnalysisTools.base import get_default_argparser, default_init
from PyAnalysisTools.base.YAMLHandle import YAMLLoader, YAMLDumper
from PyAnalysisTools.AnalysisTools.XSHandle import Dataset
def main(argv):
parser = get_default_argparse... | 0 | 0 | 0 | 0 | 0 | 1,653 | 0 | 129 | 90 |
a2becad7a4561b792574e2f10d402e4cc13be0c4 | 3,702 | py | Python | tests/builder/test_decorator_builder.py | igrek51/nuclear | d610e63ad98143dcc77e77e4ecbdaed9c38c3314 | [
"MIT"
] | 6 | 2020-06-24T20:03:06.000Z | 2021-09-21T10:05:17.000Z | tests/builder/test_decorator_builder.py | igrek51/nuclear | d610e63ad98143dcc77e77e4ecbdaed9c38c3314 | [
"MIT"
] | 2 | 2021-09-19T15:28:02.000Z | 2021-09-21T17:29:38.000Z | tests/builder/test_decorator_builder.py | igrek51/nuclear | d610e63ad98143dcc77e77e4ecbdaed9c38c3314 | [
"MIT"
] | 2 | 2020-06-24T21:21:35.000Z | 2021-08-01T17:24:38.000Z |
cli = CliBuilder()
| 31.109244 | 86 | 0.619395 | from nuclear import *
from nuclear.parser.error import CliDefinitionError
from tests.asserts import MockIO, assert_error
from functools import reduce
import base64
cli = CliBuilder()
@cli.add_command('hello')
def say_hello(name: str, decode: bool = False, repeat: int = 1):
"""
Say hello to someone
:para... | 0 | 1,305 | 0 | 0 | 0 | 1,996 | 0 | 54 | 317 |
9b1e9c8c1bcdcd96a6e85f61e36b49c932bf7d5a | 1,083 | py | Python | intake/migrations/0064_purgedvisitor.py | cforlando/intake | a5233d5c0f862f28ee265b9b4831405aabeec7e2 | [
"MIT"
] | 51 | 2016-07-20T02:26:57.000Z | 2021-07-07T14:45:06.000Z | intake/migrations/0064_purgedvisitor.py | enterstudio/intake | 793a8935914fdc8356321ec46e54d9ae1eeeee04 | [
"MIT"
] | 1,091 | 2016-04-29T18:07:45.000Z | 2021-04-19T18:39:39.000Z | intake/migrations/0064_purgedvisitor.py | enterstudio/intake | 793a8935914fdc8356321ec46e54d9ae1eeeee04 | [
"MIT"
] | 24 | 2016-06-14T18:10:43.000Z | 2021-11-14T20:26:39.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.10.7 on 2017-08-22 18:16
from __future__ import unicode_literals
| 27.075 | 114 | 0.493998 | # -*- coding: utf-8 -*-
# Generated by Django 1.10.7 on 2017-08-22 18:16
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('intake', '0063_purgedapplication_purgedstatusupdate'),
]
operations = [
mig... | 0 | 0 | 0 | 904 | 0 | 0 | 0 | 19 | 46 |
41483716ff9a653ae3d2f1df97b42c5f2ab2706f | 67 | py | Python | files/Factors.py | AjayRajNelapudi/Script-Evaluation-Assistant | 200a3fc11e15f22b812c829d133707393be39c23 | [
"MIT"
] | 1 | 2018-09-22T10:10:42.000Z | 2018-09-22T10:10:42.000Z | files/Factors.py | AjayRajNelapudi/Script-Evaluation-Assistant | 200a3fc11e15f22b812c829d133707393be39c23 | [
"MIT"
] | 1 | 2018-09-16T14:44:47.000Z | 2018-09-16T14:44:47.000Z | files/Factors.py | AjayRajNelapudi/Script-Evaluation-Assistant | 200a3fc11e15f22b812c829d133707393be39c23 | [
"MIT"
] | 3 | 2018-09-16T14:37:55.000Z | 2018-09-30T06:44:49.000Z | n = int(input())
for i in range(0, n+1):
if n % i == 0:
print(i) | 16.75 | 23 | 0.507463 | n = int(input())
for i in range(0, n+1):
if n % i == 0:
print(i) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c11ae1d44dda85eca2e9072897484d9f30c150e5 | 70,518 | py | Python | neurallog/network/dataset.py | guimaraes13/NeuralLog | 63cca557257ec67905b79048718db385cc4c3aab | [
"Apache-2.0"
] | 6 | 2021-05-04T12:24:17.000Z | 2021-07-28T03:20:48.000Z | neurallog/network/dataset.py | guimaraes13/NeuralLog | 63cca557257ec67905b79048718db385cc4c3aab | [
"Apache-2.0"
] | null | null | null | neurallog/network/dataset.py | guimaraes13/NeuralLog | 63cca557257ec67905b79048718db385cc4c3aab | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Victor Guimares
#
# 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 in... | 40.181197 | 80 | 0.57011 | # Copyright 2021 Victor Guimarães
#
# 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 i... | 2 | 47,552 | 0 | 6,439 | 0 | 189 | 0 | 262 | 382 |
ebce24889550988f1b0cf018468119ba1adbce7c | 8,754 | py | Python | hat/vector_control/migrations/0001_initial.py | ekhalilbsq/iaso | e6400c52aeb4f67ce1ca83b03efa3cb11ef235ee | [
"MIT"
] | 29 | 2020-12-26T07:22:19.000Z | 2022-03-07T13:40:09.000Z | hat/vector_control/migrations/0001_initial.py | ekhalilbsq/iaso | e6400c52aeb4f67ce1ca83b03efa3cb11ef235ee | [
"MIT"
] | 150 | 2020-11-09T15:03:27.000Z | 2022-03-07T15:36:07.000Z | hat/vector_control/migrations/0001_initial.py | ekhalilbsq/iaso | e6400c52aeb4f67ce1ca83b03efa3cb11ef235ee | [
"MIT"
] | 4 | 2020-11-09T10:38:13.000Z | 2021-10-04T09:42:47.000Z | # Generated by Django 2.0 on 2018-12-07 11:05
import django.contrib.postgres.fields
import django.contrib.postgres.fields.citext
| 37.570815 | 113 | 0.421407 | # Generated by Django 2.0 on 2018-12-07 11:05
from django.conf import settings
import django.contrib.postgres.fields
import django.contrib.postgres.fields.citext
from django.db import migrations, models
import django.db.models.deletion
import uuid
class Migration(migrations.Migration):
initial = True
depen... | 0 | 0 | 0 | 8,481 | 0 | 0 | 0 | 31 | 112 |
0c7f8da16f61bced21ebb02151a449d6604c473a | 3,447 | py | Python | kaivy/windows/virtual_window_title_bar.py | team-kaivy/kaivy | e27b53e8e9eedc48abc99151f3adbb76f0a9b331 | [
"MIT"
] | null | null | null | kaivy/windows/virtual_window_title_bar.py | team-kaivy/kaivy | e27b53e8e9eedc48abc99151f3adbb76f0a9b331 | [
"MIT"
] | null | null | null | kaivy/windows/virtual_window_title_bar.py | team-kaivy/kaivy | e27b53e8e9eedc48abc99151f3adbb76f0a9b331 | [
"MIT"
] | null | null | null | ########################################################################################################################
# #
# This file is part of kAIvy ... | 39.62069 | 136 | 0.495213 | ########################################################################################################################
# #
# This file is part of kAIvy ... | 0 | 0 | 0 | 2,273 | 0 | 0 | 0 | 108 | 156 |
b0334bea56715d8ba34f24b296effc7b67be149a | 15,462 | py | Python | poet/build/builder.py | sdispater/poet | 5a07ee95e546ab6460bde43bf59837120e17dfa5 | [
"MIT"
] | 367 | 2017-04-01T15:10:04.000Z | 2021-12-23T18:26:03.000Z | poet/build/builder.py | sdispater/poet | 5a07ee95e546ab6460bde43bf59837120e17dfa5 | [
"MIT"
] | 22 | 2017-04-13T15:39:02.000Z | 2017-10-05T14:55:26.000Z | poet/build/builder.py | sdispater/poet | 5a07ee95e546ab6460bde43bf59837120e17dfa5 | [
"MIT"
] | 16 | 2017-04-14T08:19:48.000Z | 2019-07-21T13:34:12.000Z | # -*- coding: utf-8 -*-
| 29.677543 | 98 | 0.525805 | # -*- coding: utf-8 -*-
import os
import re
import warnings
from setuptools.dist import Distribution
from setuptools.extension import Extension
from pip.commands.wheel import WheelCommand
from pip.status_codes import SUCCESS
from semantic_version import Spec, Version
from .._compat import Path, PY2, encode
from ..ut... | 3 | 0 | 0 | 15,088 | 0 | 0 | 0 | 101 | 246 |
8aa35a9d3b950a629adc8f543bb25b86ccfe5177 | 24,262 | py | Python | lingvo/core/beam_search_helper.py | shadowridgedev/lingvo | 7a55484a3bc424f06ad8a921fb7e623ade73b0bf | [
"Apache-2.0"
] | null | null | null | lingvo/core/beam_search_helper.py | shadowridgedev/lingvo | 7a55484a3bc424f06ad8a921fb7e623ade73b0bf | [
"Apache-2.0"
] | null | null | null | lingvo/core/beam_search_helper.py | shadowridgedev/lingvo | 7a55484a3bc424f06ad8a921fb7e623ade73b0bf | [
"Apache-2.0"
] | 1 | 2021-12-22T00:26:59.000Z | 2021-12-22T00:26:59.000Z | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 44.435897 | 80 | 0.667958 | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 0 | 3,652 | 0 | 13,985 | 0 | 0 | 0 | 28 | 68 |
a783b5038e9d34e2c321cad981dfaf4376994938 | 5,021 | py | Python | vortex/VortexPayloadProtocol.py | Synerty/vortexpy | fcf4c4dccbdf300b04bb962276230a48434cba17 | [
"MIT"
] | 1 | 2018-01-04T10:55:49.000Z | 2018-01-04T10:55:49.000Z | vortex/VortexPayloadProtocol.py | Synerty/vortexpy | fcf4c4dccbdf300b04bb962276230a48434cba17 | [
"MIT"
] | null | null | null | vortex/VortexPayloadProtocol.py | Synerty/vortexpy | fcf4c4dccbdf300b04bb962276230a48434cba17 | [
"MIT"
] | null | null | null | """
* Created by Synerty Pty Ltd
*
* This software is open source, the MIT license applies.
*
* Website : http://www.synerty.com
* Support : support@synerty.com
"""
import logging
logger = logging.getLogger(name=__name__)
| 32.185897 | 89 | 0.614021 | """
* Created by Synerty Pty Ltd
*
* This software is open source, the MIT license applies.
*
* Website : http://www.synerty.com
* Support : support@synerty.com
"""
import logging
from abc import ABCMeta, abstractmethod
from collections import deque
from twisted.internet import reactor
from twisted.internet.defe... | 0 | 1,326 | 0 | 3,014 | 0 | 0 | 0 | 228 | 223 |
2fa250f6887152c9f5dfbcb9850a379e8af9a21f | 4,568 | py | Python | matsdp/apt/apt_plot.py | dianwdw/matsdp | b5b822036d2ae1dab00f02a39fe7ba4a51384017 | [
"BSD-3-Clause"
] | 2 | 2019-11-12T08:35:45.000Z | 2022-02-20T14:26:54.000Z | matsdp/apt/apt_plot.py | dianwdw/matsdp | b5b822036d2ae1dab00f02a39fe7ba4a51384017 | [
"BSD-3-Clause"
] | null | null | null | matsdp/apt/apt_plot.py | dianwdw/matsdp | b5b822036d2ae1dab00f02a39fe7ba4a51384017 | [
"BSD-3-Clause"
] | 1 | 2021-12-13T13:27:04.000Z | 2021-12-13T13:27:04.000Z | # -*- coding: utf-8 -*-
import matplotlib
matplotlib.use("Agg")
| 44.784314 | 167 | 0.598074 | # -*- coding: utf-8 -*-
import matplotlib
matplotlib.use("Agg")
def plot_proxigram_csv(proxigram_csv_file_path, sysname, visible_elmt_list, interplation_on = False, fig_width=6, fig_height=5, fig_dpi = 600, fig_format = 'png'):
args_dict = locals()
import os
import numpy as np
import matplotlib... | 0 | 0 | 0 | 0 | 0 | 4,474 | 0 | 0 | 25 |
7cca1a7ee26e5b0c58ebf6109568a30fa8e46997 | 37,125 | py | Python | src/tac/core/wavenet_vocoder/models/wavenet.py | stefantaubert/Tacotron-2 | 710a3b39b48147307fa8eef2c9f635562f48d49a | [
"MIT"
] | null | null | null | src/tac/core/wavenet_vocoder/models/wavenet.py | stefantaubert/Tacotron-2 | 710a3b39b48147307fa8eef2c9f635562f48d49a | [
"MIT"
] | null | null | null | src/tac/core/wavenet_vocoder/models/wavenet.py | stefantaubert/Tacotron-2 | 710a3b39b48147307fa8eef2c9f635562f48d49a | [
"MIT"
] | null | null | null | import tensorflow as tf
from src.tac.core.wavenet_vocoder.models.modules import (WeightNorm)
def _expand_global_features(batch_size, time_length, global_features, data_format='BCT'):
"""Expand global conditioning features to all time steps
Args:
batch_size: int
time_length: int
global_features: Tensor of sha... | 40.005388 | 168 | 0.713185 | import numpy as np
import tensorflow as tf
from src.etc import audio
from src.tac.core.wavenet_vocoder import util
from src.tac.core.wavenet_vocoder.models.gaussian import sample_from_gaussian
from src.tac.core.wavenet_vocoder.models.mixture import \
sample_from_discretized_mix_logistic
from src.tac.core.wavenet_v... | 0 | 0 | 0 | 33,749 | 0 | 0 | 0 | 513 | 178 |
d4cd7ebf8fa512c108f7df03d7c875dde967fc1e | 2,022 | py | Python | Recipe_Core_App/models/custom_user.py | ziibii88/Recipe_API_Project | 486da89a1c71554930dbb5a535a9a5c27d26667b | [
"MIT"
] | 2 | 2020-05-12T03:36:33.000Z | 2020-11-24T08:22:16.000Z | Recipe_Core_App/models/custom_user.py | ziibii88/Recipe_API_Project | 486da89a1c71554930dbb5a535a9a5c27d26667b | [
"MIT"
] | 10 | 2021-03-30T13:20:42.000Z | 2022-03-12T00:29:05.000Z | Recipe_Core_App/models/custom_user.py | ziibii88/Recipe_API_Project | 486da89a1c71554930dbb5a535a9a5c27d26667b | [
"MIT"
] | null | null | null | """Custom User Model"""
| 42.125 | 76 | 0.696835 | """Custom User Model"""
from django.contrib.auth.models import AbstractBaseUser, BaseUserManager, \
PermissionsMixin
from django.db import models
class CustomUserManager(BaseUserManager):
"""Custom User Manager overridden from BaseUserManager for CustomUser"""
def _create_user(self, email, password=None... | 0 | 0 | 0 | 1,823 | 0 | 0 | 0 | 82 | 91 |
0ec5f780bd00d1bb32c388da1e6b8f06ae969ace | 30,621 | py | Python | train_valid.py | qbhan/pathembed | c21823529840593bf606e10696f5879e5adb51b2 | [
"MIT"
] | 1 | 2021-10-13T05:01:22.000Z | 2021-10-13T05:01:22.000Z | train_valid.py | qbhan/pathembed | c21823529840593bf606e10696f5879e5adb51b2 | [
"MIT"
] | null | null | null | train_valid.py | qbhan/pathembed | c21823529840593bf606e10696f5879e5adb51b2 | [
"MIT"
] | null | null | null | import torch.nn as nn
import torchvision
import torchvision.transforms as transforms
import torch.optim as optim
from tensorboardX import SummaryWriter
# for mixed precision
import argparse
# from test_cython import *
# L = 9 # number of convolutional layers
# n_kernels = 100 # number of kernels in each layer
# kern... | 45.297337 | 269 | 0.616048 | import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision
import torchvision.transforms as transforms
import torchvision.utils
import torch.optim as optim
from torch.utils.data import DataLoader
from tensorboardX import SummaryWriter
# for mixed precision
import torch.nn.utils as torch_util... | 0 | 0 | 0 | 0 | 0 | 27,537 | 0 | 59 | 534 |
d35989135b0bef0d1ac8815fe7e35507a50d08b4 | 132 | py | Python | examples/tenant_tutorial/tenant_tutorial/urls_public.py | pvandegeer/django-tenant-schemas | 20c72782cee51a33fd5c56a0af7b2c653c1b6770 | [
"MIT"
] | 1,101 | 2015-01-01T23:36:37.000Z | 2022-03-29T18:11:25.000Z | examples/tenant_tutorial/tenant_tutorial/urls_public.py | pvandegeer/django-tenant-schemas | 20c72782cee51a33fd5c56a0af7b2c653c1b6770 | [
"MIT"
] | 429 | 2015-01-01T23:38:43.000Z | 2022-03-28T08:43:54.000Z | examples/tenant_tutorial/tenant_tutorial/urls_public.py | pvandegeer/django-tenant-schemas | 20c72782cee51a33fd5c56a0af7b2c653c1b6770 | [
"MIT"
] | 429 | 2015-01-01T23:29:17.000Z | 2022-03-14T20:18:55.000Z | from django.conf.urls import url
from tenant_tutorial.views import HomeView
urlpatterns = [
url(r'^$', HomeView.as_view()),
]
| 16.5 | 42 | 0.719697 | from django.conf.urls import url
from tenant_tutorial.views import HomeView
urlpatterns = [
url(r'^$', HomeView.as_view()),
]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7f2c3b138b5ad1b508898a36bd80800d2e2f4cad | 4,909 | py | Python | ctwingest/marker_table.py | henrygong/ctwingest | 1eafea4e4faad62de2473cb77857d24c3d9c6e77 | [
"MIT"
] | null | null | null | ctwingest/marker_table.py | henrygong/ctwingest | 1eafea4e4faad62de2473cb77857d24c3d9c6e77 | [
"MIT"
] | null | null | null | ctwingest/marker_table.py | henrygong/ctwingest | 1eafea4e4faad62de2473cb77857d24c3d9c6e77 | [
"MIT"
] | null | null | null | """
Create a Marker table from an AnnData Object.
"""
import pandas as pd
from ctwingest.scanpyapi import proportion_expressed_cluster, centroids, get_expression, std_gt_0_genes
def scale_centroids(centers, max=2.5, min=-2.5):
"""avg.exp.scaled"""
scaled = centers.subtract(centers.mean(axis=1), axis=0)
sc... | 43.061404 | 120 | 0.681605 | """
Create a Marker table from an AnnData Object.
"""
from statsmodels.stats.proportion import proportions_ztest
from scipy.stats import ttest_ind
import pandas as pd
import numpy as np
from ctwingest.scanpyapi import proportion_expressed_cluster, centroids, get_expression, std_gt_0_genes
def scale_centroids(centers,... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 46 | 66 |
c31e4d77fa90c2a95e1a0a532f837cf00973ea85 | 5,235 | py | Python | Agent/dqn.py | dacozai/QuantumDeepAdvantage | 6ca2388141906e2782d29b60740db27925ee557f | [
"Apache-2.0"
] | 3 | 2019-11-20T07:51:28.000Z | 2021-02-02T08:34:52.000Z | Agent/dqn.py | dacozai/QuantumDeepAdvantage | 6ca2388141906e2782d29b60740db27925ee557f | [
"Apache-2.0"
] | null | null | null | Agent/dqn.py | dacozai/QuantumDeepAdvantage | 6ca2388141906e2782d29b60740db27925ee557f | [
"Apache-2.0"
] | 1 | 2019-12-31T04:01:18.000Z | 2019-12-31T04:01:18.000Z | #################################################################
# Copyright (C) #
# 2019 Qiskit Team #
# Permission given to modify the code as long as you keep this #
# declaration at the top ... | 32.515528 | 112 | 0.640306 | #################################################################
# Copyright (C) #
# 2019 Qiskit Team #
# Permission given to modify the code as long as you keep this #
# declaration at the top ... | 0 | 0 | 0 | 4,589 | 0 | 0 | 0 | 69 | 181 |
3fa893ae3b5d7fc4a34a49eff4fe696c69c68d19 | 12,818 | py | Python | tests/networks_test.py | micbia/SegU-Net | 69c3e3596d32d93b62d3636317e1dbf531f5862e | [
"MIT"
] | 9 | 2020-05-13T22:45:43.000Z | 2022-02-10T10:13:21.000Z | tests/networks_test.py | micbia/SegU-Net | 69c3e3596d32d93b62d3636317e1dbf531f5862e | [
"MIT"
] | null | null | null | tests/networks_test.py | micbia/SegU-Net | 69c3e3596d32d93b62d3636317e1dbf531f5862e | [
"MIT"
] | null | null | null | from keras.layers import concatenate
| 58 | 181 | 0.599001 | import numpy as np, time
from keras.models import Model, load_model
from keras.layers import Input, BatchNormalization, Activation, Dropout, concatenate
from keras.layers.convolutional import Conv2D, Conv2DTranspose, Conv3D, Conv3DTranspose
from keras.layers.pooling import MaxPooling2D, GlobalMaxPool2D, MaxPooling3D
f... | 0 | 0 | 0 | 0 | 0 | 12,398 | 0 | 227 | 156 |
ed7a1c4be9927b9f24bf9212440d3f9502a6b548 | 746 | py | Python | account/admin.py | PrestonMonteWest/comp-mart | e7699f3c4ac1d77c447cd9300fb9912f4840d2a9 | [
"Apache-2.0"
] | 1 | 2018-04-09T02:06:30.000Z | 2018-04-09T02:06:30.000Z | account/admin.py | PrestonMonteWest/compmart | e7699f3c4ac1d77c447cd9300fb9912f4840d2a9 | [
"Apache-2.0"
] | 1 | 2018-07-04T21:08:58.000Z | 2018-07-09T02:34:50.000Z | account/admin.py | PrestonMonteWest/compmart | e7699f3c4ac1d77c447cd9300fb9912f4840d2a9 | [
"Apache-2.0"
] | null | null | null | from django.contrib import admin
from . import models
admin.site.register(models.Address, AddressAdmin)
admin.site.register(models.CreditCard, CreditCardAdmin)
| 39.263158 | 83 | 0.698391 | from django.contrib import admin
from . import models
class AddressAdmin(admin.ModelAdmin):
list_display = ('user', 'street', 'city', 'state', 'zip_code')
raw_id_fields = ('user',)
search_fields = ('street', 'city', 'state', 'zip_code')
fields = ('user', 'street', 'city', 'state', 'zip_code')
class Cr... | 0 | 0 | 0 | 539 | 0 | 0 | 0 | 0 | 46 |
71a22cab3a5f46c536fa8e2e24f0611fcff253c2 | 1,091 | py | Python | PyOpenGL-3.0.2/OpenGL/raw/GL/ARB/base_instance.py | frederica07/Dragon_Programming_Process | c0dff2e20c1be6db5adc6f9977efae8f7f888ef5 | [
"BSD-2-Clause"
] | null | null | null | PyOpenGL-3.0.2/OpenGL/raw/GL/ARB/base_instance.py | frederica07/Dragon_Programming_Process | c0dff2e20c1be6db5adc6f9977efae8f7f888ef5 | [
"BSD-2-Clause"
] | null | null | null | PyOpenGL-3.0.2/OpenGL/raw/GL/ARB/base_instance.py | frederica07/Dragon_Programming_Process | c0dff2e20c1be6db5adc6f9977efae8f7f888ef5 | [
"BSD-2-Clause"
] | null | null | null | '''Autogenerated by get_gl_extensions script, do not edit!'''
EXTENSION_NAME = 'GL_ARB_base_instance'
def glInitBaseInstanceARB():
'''Return boolean indicating whether this extension is available'''
from OpenGL import extensions
return extensions.hasGLExtension( EXTENSION_NAME )
| 45.458333 | 119 | 0.810266 | '''Autogenerated by get_gl_extensions script, do not edit!'''
from OpenGL import platform as _p, constants as _cs, arrays
from OpenGL.GL import glget
import ctypes
EXTENSION_NAME = 'GL_ARB_base_instance'
def _f( function ):
return _p.createFunction( function,_p.GL,'GL_ARB_base_instance',False)
@_f
@_p.types(None,_... | 0 | 533 | 0 | 0 | 0 | 73 | 0 | 36 | 155 |
517e237ee7721179f23df9b8e1d8c509af07f2d3 | 4,046 | py | Python | kits.py | gajanlee/UCAS-kits | 75c985a8ea1e69bfe401c9b0555a7d526d4cc71e | [
"MIT"
] | null | null | null | kits.py | gajanlee/UCAS-kits | 75c985a8ea1e69bfe401c9b0555a7d526d4cc71e | [
"MIT"
] | null | null | null | kits.py | gajanlee/UCAS-kits | 75c985a8ea1e69bfe401c9b0555a7d526d4cc71e | [
"MIT"
] | null | null | null | import configparser
import time
import configparser
if __name__ == "__main__":
cf = configparser.ConfigParser()
cf.read("info.conf")
while process_orders(cf):
time.sleep(2) | 32.629032 | 171 | 0.561789 | import configparser
import requests
import time
import numpy as np
from PIL import Image
from io import BytesIO
import configparser
from code import CodeRecognizer
from utils import *
class UCAS:
def __init__(self, user):
self.__session = requests.Session()
self.__user = user
# self.login... | 210 | 76 | 0 | 2,902 | 0 | 597 | 0 | 1 | 202 |
a353593d14c77c62907e98f74374cf5b3f4d0eb0 | 635 | py | Python | SUBS/009_SUBS.py | domenicosolazzo/Rosalind | 288fa79aa715de6632413ddaa0e2527a1d7ee265 | [
"MIT"
] | null | null | null | SUBS/009_SUBS.py | domenicosolazzo/Rosalind | 288fa79aa715de6632413ddaa0e2527a1d7ee265 | [
"MIT"
] | null | null | null | SUBS/009_SUBS.py | domenicosolazzo/Rosalind | 288fa79aa715de6632413ddaa0e2527a1d7ee265 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
'''
A solution to a ROSALIND bioinformatics problem.
Problem Title: Finding a Motif in DNA
Rosalind ID: SUBS
Rosalind #: 009
URL: http://rosalind.info/problems/subs/
'''
if __name__ == "__main__":
main()
| 24.423077 | 57 | 0.620472 | #!/usr/bin/env python
'''
A solution to a ROSALIND bioinformatics problem.
Problem Title: Finding a Motif in DNA
Rosalind ID: SUBS
Rosalind #: 009
URL: http://rosalind.info/problems/subs/
'''
def main():
with open('data/rosalind_subs.txt') as input_data:
s,t = input_data.readlines()
s = s.rstrip()
t ... | 0 | 0 | 0 | 0 | 0 | 382 | 0 | 0 | 22 |
dde944103b320bbb0108dbd91b7db350f5d0fa72 | 1,339 | py | Python | website/baseapp/models/order.py | raviarrow88/Django-ecommerce | 9fd0340e4d2f1ff024092ba574702cd9dbfd2162 | [
"MIT"
] | null | null | null | website/baseapp/models/order.py | raviarrow88/Django-ecommerce | 9fd0340e4d2f1ff024092ba574702cd9dbfd2162 | [
"MIT"
] | 9 | 2020-06-06T01:49:00.000Z | 2022-03-12T00:30:35.000Z | website/baseapp/models/order.py | raviarrow88/Django-ecommerce | 9fd0340e4d2f1ff024092ba574702cd9dbfd2162 | [
"MIT"
] | null | null | null | # from .user import UserProfile
| 30.431818 | 87 | 0.678865 | from django.db import models
from .timestamp import TimeStamp
# from .user import UserProfile
from customer.models import UserProfile
from .item import Item
class Order(TimeStamp):
user =models.ForeignKey(UserProfile,on_delete=models.SET_NULL,null=True,blank=True)
completed = models.BooleanField(default=False... | 0 | 727 | 0 | 431 | 0 | 0 | 0 | 37 | 112 |
f2f6448df1215a4699a0b8cfe080518be476866d | 2,243 | py | Python | tests/utils.py | codefever/dremel.py | 42d44a843e1ba5cefd32c14490a124f85f4c1c4e | [
"MIT"
] | 2 | 2021-04-09T12:22:50.000Z | 2022-03-27T14:04:31.000Z | tests/utils.py | codefever/dremel.py | 42d44a843e1ba5cefd32c14490a124f85f4c1c4e | [
"MIT"
] | null | null | null | tests/utils.py | codefever/dremel.py | 42d44a843e1ba5cefd32c14490a124f85f4c1c4e | [
"MIT"
] | null | null | null | #!/usr/bin/env python
| 30.310811 | 93 | 0.598306 | #!/usr/bin/env python
import os
import random
from google.protobuf import text_format
from google.protobuf.descriptor import Descriptor, FieldDescriptor
from .document_pb2 import Document
from dremel.consts import *
from dremel.simple import create_simple_storage
def read_docs():
sample_dir = os.path.join(os.pa... | 0 | 0 | 0 | 0 | 269 | 1,591 | 0 | 88 | 272 |
f957582cf4088d5cebfe722f507924fba380cb9d | 427 | py | Python | simple-examples/07_other-examples/dict.py | wiltonpaulo/python-fullcourse | 5befe60221a2e6f8a567a11e2f449245c11b3447 | [
"MIT"
] | null | null | null | simple-examples/07_other-examples/dict.py | wiltonpaulo/python-fullcourse | 5befe60221a2e6f8a567a11e2f449245c11b3447 | [
"MIT"
] | null | null | null | simple-examples/07_other-examples/dict.py | wiltonpaulo/python-fullcourse | 5befe60221a2e6f8a567a11e2f449245c11b3447 | [
"MIT"
] | null | null | null | print("Way to transform two lists into one dict")
purchases = ["rice", "beans", "pasta"]
prices = ["2.00", "3.80", "4.90"]
new_list = {}
# for x in range(len(purchases)):
# new_list[purchases[x]] = prices[x]
# for id, item in enumerate(compras):
# new_list[purchases[id]] = prices[id]
new_list = {item: prices... | 22.473684 | 70 | 0.662763 | print("Way to transform two lists into one dict")
purchases = ["rice", "beans", "pasta"]
prices = ["2.00", "3.80", "4.90"]
new_list = {}
# for x in range(len(purchases)):
# new_list[purchases[x]] = prices[x]
# for id, item in enumerate(compras):
# new_list[purchases[id]] = prices[id]
new_list = {item: prices... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cccd40a89b5d3ec8ef38be6a8a9d8358e4b4a7ee | 4,907 | py | Python | Modules/visualization.py | EVA4-RS-Group/Phase2 | 7c551e3894979cc425dd51baeddbfa5a51b7878d | [
"Apache-2.0"
] | null | null | null | Modules/visualization.py | EVA4-RS-Group/Phase2 | 7c551e3894979cc425dd51baeddbfa5a51b7878d | [
"Apache-2.0"
] | null | null | null | Modules/visualization.py | EVA4-RS-Group/Phase2 | 7c551e3894979cc425dd51baeddbfa5a51b7878d | [
"Apache-2.0"
] | 2 | 2020-08-26T02:33:33.000Z | 2021-03-16T10:51:40.000Z | '''Plotting Utility.
Grad-CAM implementation in Pytorch
Reference:
[1] xyz
[2] xyz
'''
import matplotlib.pyplot as plt
import numpy as np
import torch
def denormalize(tensor, mean, std):
"""Denormalize the image for given mean and standard deviation.
Args:
tensor: Image tensor
mean: Dataset... | 32.282895 | 113 | 0.592011 | '''Plotting Utility.
Grad-CAM implementation in Pytorch
Reference:
[1] xyz
[2] xyz
'''
import matplotlib.pyplot as plt
import numpy as np
import torch
def denormalize(tensor, mean, std):
"""Denormalize the image for given mean and standard deviation.
Args:
tensor: Image tensor
mean: Dataset... | 0 | 0 | 0 | 0 | 0 | 3,694 | 0 | 0 | 92 |
0c35895d716286e0c3bf45a9d0405b8ccf2b63fd | 1,935 | py | Python | deploy_java/DockerJava/javaTopo_image.py | vmeta42/neodata | 00a42ab8d1adbb14f09bc4cc04720b0067241985 | [
"Apache-2.0"
] | null | null | null | deploy_java/DockerJava/javaTopo_image.py | vmeta42/neodata | 00a42ab8d1adbb14f09bc4cc04720b0067241985 | [
"Apache-2.0"
] | null | null | null | deploy_java/DockerJava/javaTopo_image.py | vmeta42/neodata | 00a42ab8d1adbb14f09bc4cc04720b0067241985 | [
"Apache-2.0"
] | 1 | 2022-03-16T08:31:28.000Z | 2022-03-16T08:31:28.000Z | # coding:utf-8
import os
if __name__ == "__main__":
j = JavaImage(codeDir=os.path.abspath(os.curdir), shell_file="javapack.sh",
imageTag="harbor.dev.21vianet.com/cmdb/cmdb_javatopo:latest")
j.begin()
# print()
| 33.947368 | 115 | 0.61137 | # coding:utf-8
import os
import subprocess
class JavaImage():
def __init__(self, *args, **kwargs):
self.codeDir = kwargs["codeDir"]
self.mvnScript = kwargs["shell_file"]
self.dockerImage = kwargs["imageTag"]
def mvn_command(self, capture_output=True):
self.out = subprocess.ru... | 0 | 0 | 0 | 1,651 | 0 | 0 | 0 | -4 | 45 |
0472b3c394edd47e2e182c61417a754346641796 | 979 | py | Python | uploads/core/forms.py | lindsay777/ITRI_hospital_UI | ee82b44e7e0edd28580a4fbb37c277ff85da8192 | [
"MIT"
] | null | null | null | uploads/core/forms.py | lindsay777/ITRI_hospital_UI | ee82b44e7e0edd28580a4fbb37c277ff85da8192 | [
"MIT"
] | 1 | 2018-08-12T08:30:54.000Z | 2018-08-12T08:30:54.000Z | uploads/core/forms.py | lindsay777/ITRI_hospital_UI | ee82b44e7e0edd28580a4fbb37c277ff85da8192 | [
"MIT"
] | null | null | null | #from uploads.core.models import File
# modelformdescription document
# class FileForm(forms.ModelForm):
# class Meta:
# model = File
# fields = ('filename',)
# file = forms.FileField()
# pid = forms.CharField(max_length=20)
# name = forms.CharField(max_length=20)
# sex = forms.Cha... | 29.666667 | 47 | 0.657814 | from django import forms
from uploads.core.models import Document
#from uploads.core.models import File
# 創造一個依照model的form，會繼承欄位description document
class DocumentForm(forms.ModelForm):
class Meta:
model = Document
fields = ('description', 'document', )
class nameForm(forms.Form):
rename=form... | 39 | 0 | 0 | 138 | 0 | 0 | 0 | 22 | 90 |
cd9cb66122591a5591685af112fa2e4503ad0c79 | 5,119 | py | Python | gene_finding/genes_ppi_enrichr.py | ddhostallero/cxplain | c17a119faa384ffd2ca01529d470df2bd4b16813 | [
"MIT"
] | null | null | null | gene_finding/genes_ppi_enrichr.py | ddhostallero/cxplain | c17a119faa384ffd2ca01529d470df2bd4b16813 | [
"MIT"
] | null | null | null | gene_finding/genes_ppi_enrichr.py | ddhostallero/cxplain | c17a119faa384ffd2ca01529d470df2bd4b16813 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
pathway_file = '../../drp-data/pathways/9606.enrichr_pathway.edge'
pathway = pd.read_csv(pathway_file, sep='\t', header=None)
print("pathways:", pathway[0].nunique())
print("pathway genes:", pathway[1].nunique())
gsc_filtered = '../../KnowEng_GSC/GSC_10mod/drawr_filtered/DraWR_... | 35.548611 | 128 | 0.676109 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
pathway_file = '../../drp-data/pathways/9606.enrichr_pathway.edge'
pathway = pd.read_csv(pathway_file, sep='\t', header=None)
print("pathways:", pathway[0].nunique())
print("pathway genes:", pathway[1].nunique())
gsc_filtered = '../../KnowEng_GSC... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 22 |
d39c4f37b45ab8280f00f4481b2167d271367281 | 215 | py | Python | libDep.py | TheSinOfSloth/Remote_switchOff | 7ae27a712a5702536bc51257374c7649375d6d92 | [
"MIT"
] | 1 | 2020-04-06T14:13:57.000Z | 2020-04-06T14:13:57.000Z | libDep.py | 1hef001/Automatic_switchOff | 7ae27a712a5702536bc51257374c7649375d6d92 | [
"MIT"
] | null | null | null | libDep.py | 1hef001/Automatic_switchOff | 7ae27a712a5702536bc51257374c7649375d6d92 | [
"MIT"
] | null | null | null | import os
import platform
if(platform.system() == 'Windows'):
FILENAME = 'terminateFile.bat'
elif(platform.system() == 'Linux'):
FILENAME = 'idle.sh'
TIME = 900
PATH = os.getcwd()
# print(platform.system()) | 21.5 | 35 | 0.669767 | import os
import platform
if(platform.system() == 'Windows'):
FILENAME = 'terminateFile.bat'
elif(platform.system() == 'Linux'):
FILENAME = 'idle.sh'
TIME = 900
PATH = os.getcwd()
# print(platform.system()) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0b8766629c87c39c0ef02b967e9144a3b7d6946f | 1,050 | py | Python | deeptrack/benchmarks/test_fluorescence.py | HarshithBachimanchi/DeepTrack-2.0 | 5983f5224b75aef4ce3932662bd15723f13841a0 | [
"MIT"
] | 1 | 2022-03-18T17:25:18.000Z | 2022-03-18T17:25:18.000Z | deeptrack/benchmarks/test_fluorescence.py | HarshithBachimanchi/DeepTrack-2.0 | 5983f5224b75aef4ce3932662bd15723f13841a0 | [
"MIT"
] | null | null | null | deeptrack/benchmarks/test_fluorescence.py | HarshithBachimanchi/DeepTrack-2.0 | 5983f5224b75aef4ce3932662bd15723f13841a0 | [
"MIT"
] | null | null | null | import deeptrack as dt
u = dt.units
| 21.875 | 81 | 0.625714 | import sys
import numpy as np
import itertools
import deeptrack as dt
import pytest
u = dt.units
def create_pipeline(output_region=(0, 0, 128, 128), num_particles=1):
optics = dt.Fluorescence(output_region=output_region)
mie = dt.Sphere(
radius=2e-6,
refractive_index=1.45,
z=10,
... | 0 | 579 | 0 | 0 | 0 | 324 | 0 | -27 | 134 |
5d71ad984bf074d92f237d6404d33add30a5bd3f | 523 | py | Python | scripts/euca2ools.py | nii-clouds/Literate-Computing-Basics | 9bc03edafd503c2215f0e9028389e3ce31a418ec | [
"CC-BY-4.0"
] | 13 | 2016-07-24T07:03:50.000Z | 2021-07-26T07:50:56.000Z | scripts/euca2ools.py | nii-clouds/Literate-Computing-Basics | 9bc03edafd503c2215f0e9028389e3ce31a418ec | [
"CC-BY-4.0"
] | 1 | 2016-07-14T03:06:01.000Z | 2016-07-14T03:06:01.000Z | scripts/euca2ools.py | nii-clouds/Literate-Computing-Basics | 9bc03edafd503c2215f0e9028389e3ce31a418ec | [
"CC-BY-4.0"
] | 5 | 2017-01-10T16:15:01.000Z | 2019-08-29T06:21:12.000Z | # helper functions for Euca2ools
| 29.055556 | 60 | 0.544933 | # helper functions for Euca2ools
import subprocess
import os
import time
def run_euca2ools(envfile, cmd):
env = os.environ.copy()
with open(os.path.expanduser(envfile), 'r') as f:
for l in f.readlines():
if l.startswith('export '):
l = l[6:].strip()
name, va... | 0 | 0 | 0 | 0 | 0 | 426 | 0 | -26 | 90 |
eb75ac8fdab6ae6405b604f70c5f5ada8b3bf5a7 | 2,186 | py | Python | Psc2/songs/claudius_irae.py | psc-g/Psc2 | 6676fc67263c9268ff65784d583cb838cfd42c28 | [
"Apache-2.0"
] | 24 | 2018-10-09T22:36:43.000Z | 2021-10-15T16:34:42.000Z | Psc2/songs/claudius_irae.py | psc-g/Psc2 | 6676fc67263c9268ff65784d583cb838cfd42c28 | [
"Apache-2.0"
] | 2 | 2018-12-07T20:01:13.000Z | 2018-12-11T15:19:23.000Z | Psc2/songs/claudius_irae.py | psc-g/Psc2 | 6676fc67263c9268ff65784d583cb838cfd42c28 | [
"Apache-2.0"
] | 5 | 2018-12-07T15:37:57.000Z | 2020-03-28T11:59:40.000Z | """ClaudiusIrae song logic."""
| 34.15625 | 79 | 0.588747 | """ClaudiusIrae song logic."""
import OSC
from Psc2.songs import song
from Psc2.modes import bass_doubler
from Psc2.modes import looper
class ClaudiusIrae(song.Song):
"""This defines the logic for ClaudiusIrae.
For most of the song it is in bass-doubling mode, except for the solo section
where the bass is aut... | 0 | 0 | 0 | 2,025 | 0 | 0 | 0 | 17 | 113 |
a3642725c5e6f2e8169b1cd241aec6bc6bae5734 | 3,035 | py | Python | exercises/demo.py | Zaph-x/DistributedExercisesAAU | 40ca2716e252aca46f840405a89fac3ffd37f122 | [
"MIT"
] | null | null | null | exercises/demo.py | Zaph-x/DistributedExercisesAAU | 40ca2716e252aca46f840405a89fac3ffd37f122 | [
"MIT"
] | null | null | null | exercises/demo.py | Zaph-x/DistributedExercisesAAU | 40ca2716e252aca46f840405a89fac3ffd37f122 | [
"MIT"
] | null | null | null |
# We extend the MessageStub here for the message-types we wish to communicate
# This class extends on the basic Device class. We will implement the protocol in the run method
| 43.357143 | 115 | 0.639868 | import random
from emulators.Device import Device
from emulators.Medium import Medium
from emulators.MessageStub import MessageStub
# We extend the MessageStub here for the message-types we wish to communicate
class PingMessage(MessageStub):
# the constructor-function takes the source and destination as argumen... | 0 | 0 | 0 | 2,679 | 0 | 0 | 0 | 44 | 133 |
e41a1c4a736dca7523e7626d2638116f83876bd8 | 19,910 | py | Python | bike/refactor/test_renameMethod.py | debiancn/bicyclerepair | dd054e802d6d8ad80baeccee0396da68144f2a26 | [
"ICU"
] | 2 | 2020-05-29T06:31:53.000Z | 2020-12-19T21:49:25.000Z | bike/refactor/test_renameMethod.py | debiancn/bicyclerepair | dd054e802d6d8ad80baeccee0396da68144f2a26 | [
"ICU"
] | null | null | null | bike/refactor/test_renameMethod.py | debiancn/bicyclerepair | dd054e802d6d8ad80baeccee0396da68144f2a26 | [
"ICU"
] | null | null | null | #!/usr/bin/env python
import unittest
# tests that cover stuff not renamed automatically
# (I.e. are renamed after user manually expresses desire to do so)
MethodTestdata = trimLines("""
class TheClass:
def theMethod(self):
pass
def differentMethod(self):
pass
class DifferentClass:... | 28.002813 | 140 | 0.547212 | #!/usr/bin/env python
import setpath
import unittest
from rename import rename
import compiler
from bike import testdata
from bike.testutils import*
from bike.transformer.save import save
class RenameMethodTests:
def test_renamesTheMethod(self):
srcBefore=trimLines("""
class TheClass:
... | 0 | 0 | 0 | 19,109 | 0 | 0 | 0 | 18 | 371 |
fc39730a027f1990317acfd6696c41b7fecb8c57 | 2,196 | py | Python | Combined Data/duplicate_addresses.py | alfredholmes/UK-Company-Data | 69f87980309fbd9ef3434770a8a87cd4b600e6cb | [
"MIT"
] | 1 | 2022-01-27T22:29:19.000Z | 2022-01-27T22:29:19.000Z | Combined Data/duplicate_addresses.py | alfredholmes/UK-Company-Data | 69f87980309fbd9ef3434770a8a87cd4b600e6cb | [
"MIT"
] | null | null | null | Combined Data/duplicate_addresses.py | alfredholmes/UK-Company-Data | 69f87980309fbd9ef3434770a8a87cd4b600e6cb | [
"MIT"
] | null | null | null |
import sys
sys.path.append('../lib')
if __name__ == '__main__':
main() | 29.28 | 249 | 0.638434 | import ijson, csv, json, datetime
import sys
sys.path.append('../lib')
from accounts.company import Company
def main():
enterprises = {}
print('loading enterprises')
with open('combined_data.json', 'r') as f:
for i, c in enumerate(ijson.items(f, 'item')):
if i % 10000 == 0:
print(i)
address = frozens... | 0 | 0 | 0 | 0 | 0 | 2,024 | 0 | 27 | 68 |
81559963f29d21ffc38158ededa6ad16e94ccb86 | 96 | py | Python | yamldirs/__init__.py | datakortet/yamldirs | 529f20a5ff3da46448828fc9c7c80ca417bb6e91 | [
"MIT"
] | 13 | 2017-10-23T12:39:20.000Z | 2022-03-04T16:58:44.000Z | yamldirs/__init__.py | datakortet/yamldirs | 529f20a5ff3da46448828fc9c7c80ca417bb6e91 | [
"MIT"
] | 5 | 2017-10-24T12:20:13.000Z | 2017-10-25T13:31:04.000Z | yamldirs/__init__.py | datakortet/yamldirs | 529f20a5ff3da46448828fc9c7c80ca417bb6e91 | [
"MIT"
] | 3 | 2017-10-24T12:20:39.000Z | 2021-12-22T13:19:44.000Z | # -*- coding: utf-8 -*-
__version__ = '1.1.15'
| 16 | 46 | 0.625 | # -*- coding: utf-8 -*-
__version__ = '1.1.15'
from .filemaker import create_files # noqa
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 34 |
e8186f362f3a5c6e2c0bf8ddc167f936786e9755 | 829 | py | Python | com.ppc.Microservices/intelligence/daylight/location_midnight_microservice.py | peoplepower/botlab | 21cc90c558a17b7ef4a42bca247b437d2f968dc0 | [
"Apache-2.0"
] | 16 | 2017-03-31T04:41:51.000Z | 2020-07-15T07:03:06.000Z | com.ppc.Microservices/intelligence/daylight/location_midnight_microservice.py | peoplepower/botlab | 21cc90c558a17b7ef4a42bca247b437d2f968dc0 | [
"Apache-2.0"
] | 4 | 2018-07-03T05:39:36.000Z | 2018-07-06T02:59:32.000Z | com.ppc.Microservices/intelligence/daylight/location_midnight_microservice.py | peoplepower/botlab | 21cc90c558a17b7ef4a42bca247b437d2f968dc0 | [
"Apache-2.0"
] | 8 | 2017-04-01T21:07:59.000Z | 2019-09-18T15:23:37.000Z | '''
Created on February 25, 2019
This file is subject to the terms and conditions defined in the
file 'LICENSE.txt', which is part of this source code package.
@author: David Moss
'''
| 33.16 | 119 | 0.723764 | '''
Created on February 25, 2019
This file is subject to the terms and conditions defined in the
file 'LICENSE.txt', which is part of this source code package.
@author: David Moss
'''
from intelligence.intelligence import Intelligence
class LocationMidnightMicroservice(Intelligence):
"""
Announce midnight t... | 0 | 0 | 0 | 568 | 0 | 0 | 0 | 29 | 46 |
bc4831896be9b443c435adb7e470a5ed2b0aa1f6 | 9,224 | py | Python | ravenframework/BaseClasses/Assembler.py | dgarrett622/raven | f36cc108f7500b0e2717df4832b69b801b43960d | [
"Apache-2.0"
] | null | null | null | ravenframework/BaseClasses/Assembler.py | dgarrett622/raven | f36cc108f7500b0e2717df4832b69b801b43960d | [
"Apache-2.0"
] | null | null | null | ravenframework/BaseClasses/Assembler.py | dgarrett622/raven | f36cc108f7500b0e2717df4832b69b801b43960d | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 Battelle Energy Alliance, 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 agreed t... | 50.681319 | 174 | 0.66598 | # Copyright 2017 Battelle Energy Alliance, 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 agreed t... | 0 | 0 | 0 | 7,933 | 0 | 0 | 0 | 20 | 89 |
9489bfa545777ad8ca14dfc0924aa4cbbb07cf88 | 5,776 | py | Python | examples/AllInOne/allinone_ownloop.py | irmen/Pyro3 | 5bd531088d9a11ec83556a0429f18df6cb5cd437 | [
"MIT"
] | 3 | 2018-01-13T20:50:41.000Z | 2020-02-24T13:35:08.000Z | examples/AllInOne/allinone_ownloop.py | irmen/Pyro3 | 5bd531088d9a11ec83556a0429f18df6cb5cd437 | [
"MIT"
] | null | null | null | examples/AllInOne/allinone_ownloop.py | irmen/Pyro3 | 5bd531088d9a11ec83556a0429f18df6cb5cd437 | [
"MIT"
] | 6 | 2015-03-21T20:34:05.000Z | 2021-06-08T04:04:33.000Z | #!/usr/bin/env python
#
# This application creates a Name Server, Event Server,
# Pyro server, and clients, and uses a custom event loop to keep them
# all running in parallel.
# The custom loop runs in its own server thread otherwise we
# can't run client invocations, obviously.
# The main loop calls Pyro objects to s... | 31.911602 | 86 | 0.721434 | #!/usr/bin/env python
#
# This application creates a Name Server, Event Server,
# Pyro server, and clients, and uses a custom event loop to keep them
# all running in parallel.
# The custom loop runs in its own server thread otherwise we
# can't run client invocations, obviously.
# The main loop calls Pyro objects to s... | 0 | 0 | 0 | 2,413 | 0 | 2,214 | 0 | 10 | 270 |
fd6536b19aafb8bd6cbe2ae5992f2e0633363eb1 | 511 | py | Python | examples/hello_template.py | orest-d/liquer | 7a5b5a69cf673b4a849dd2da3050ccd75081e454 | [
"MIT"
] | 3 | 2019-12-10T10:22:36.000Z | 2019-12-12T16:36:11.000Z | examples/hello_template.py | orest-d/liquer | 7a5b5a69cf673b4a849dd2da3050ccd75081e454 | [
"MIT"
] | null | null | null | examples/hello_template.py | orest-d/liquer | 7a5b5a69cf673b4a849dd2da3050ccd75081e454 | [
"MIT"
] | 2 | 2019-11-14T16:26:52.000Z | 2021-07-26T04:53:54.000Z | # Make it run from the examples directory
import sys
sys.path.append("..")
# with default delimiters
print (evaluate_template("""
Template example [[]]
- $hello$
- $hello/greet$
- $hello/greet-everybody$
"""))
# with custom delimiters
print (evaluate_template("""
Template example $$$
- [[hello]]
- [[hello/greet]]
... | 15.484848 | 41 | 0.655577 | # Make it run from the examples directory
import sys
sys.path.append("..")
from liquer import *
@first_command
def hello():
return "Hello"
@command
def greet(greeting, who="world"):
return f"{greeting}, {who}!"
# with default delimiters
print (evaluate_template("""
Template example [[]]
- $hello$
- $hello/... | 0 | 79 | 0 | 0 | 0 | 0 | 0 | -1 | 69 |
0a6f3a549a3f8a41861c7ee807040649078ca252 | 3,461 | py | Python | ss_baselines/saven/ddppo/algo/ddppo.py | gtatiya/sound-spaces | 52792865b2a491883bdbfebbc015acaf980a8d3a | [
"CC-BY-4.0"
] | 1 | 2021-09-28T16:04:09.000Z | 2021-09-28T16:04:09.000Z | ss_baselines/saven/ddppo/algo/ddppo.py | gtatiya/sound-spaces | 52792865b2a491883bdbfebbc015acaf980a8d3a | [
"CC-BY-4.0"
] | null | null | null | ss_baselines/saven/ddppo/algo/ddppo.py | gtatiya/sound-spaces | 52792865b2a491883bdbfebbc015acaf980a8d3a | [
"CC-BY-4.0"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from typing import Tuple
import torch
import torch.distributed as distrib
EPS_PPO = 1e-5
def dis... | 34.959596 | 97 | 0.649812 | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from typing import Tuple
import torch
import torch.distributed as distrib
from ss_baselines.saven.... | 0 | 0 | 0 | 2,050 | 0 | 0 | 0 | 68 | 91 |
047464dd0842beeeadd509639a066e71adabcead | 1,427 | py | Python | chapter09/chain.py | JoeanAmiee/Mastering-Python-Design-Patterns-Second-Edition | 89c55dcf5e1e0e730dde593b487050f360371932 | [
"MIT"
] | 278 | 2018-08-16T12:59:24.000Z | 2022-03-21T08:21:11.000Z | chapter09/chain.py | 50611/Mastering-Python-Design-Patterns-Second-Edition | 6efc4a935f15d2aa6c840131f72fb8c53a493a93 | [
"MIT"
] | 4 | 2019-05-16T11:44:45.000Z | 2022-02-04T07:24:47.000Z | chapter09/chain.py | 50611/Mastering-Python-Design-Patterns-Second-Edition | 6efc4a935f15d2aa6c840131f72fb8c53a493a93 | [
"MIT"
] | 166 | 2018-08-13T21:47:16.000Z | 2022-03-18T12:20:31.000Z |
if __name__ == '__main__':
main()
| 26.924528 | 55 | 0.553609 | class Event:
def __init__(self, name):
self.name = name
def __str__(self):
return self.name
class Widget:
def __init__(self, parent=None):
self.parent = parent
def handle(self, event):
handler = f'handle_{event}'
if hasattr(self, handler)... | 0 | 0 | 0 | 842 | 0 | 388 | 0 | 0 | 154 |
dc532744bff28dc0b15b2faea563fe4cb6ff5ae6 | 5,260 | py | Python | venv/Lib/site-packages/PySide2/examples/sql/books/ui_bookwindow.py | Farhan-Malik/advance-hand-gesture | 0ebe21ddd7c8c2eb14746678be57b33d38c47205 | [
"MIT"
] | 41 | 2021-06-19T13:57:18.000Z | 2021-12-02T17:08:53.000Z | venv/Lib/site-packages/PySide2/examples/sql/books/ui_bookwindow.py | Farhan-Malik/advance-hand-gesture | 0ebe21ddd7c8c2eb14746678be57b33d38c47205 | [
"MIT"
] | 20 | 2021-05-03T18:02:23.000Z | 2022-03-12T12:01:04.000Z | venvWIN/Lib/site-packages/PySide2/examples/sql/books/ui_bookwindow.py | NeroNekro/PortableController | a8bbfc1b6c8cb2c919e48eb0104e42f436059b18 | [
"BSD-3-Clause"
] | 4 | 2021-07-02T03:09:51.000Z | 2021-11-25T13:00:10.000Z | # -*- coding: utf-8 -*-
################################################################################
## Form generated from reading UI file 'bookwindow.ui'
##
## Created by: Qt User Interface Compiler version 5.14.0
##
## WARNING! All changes made in this file will be lost when recompiling UI file!
###############... | 40.461538 | 96 | 0.68251 | # -*- coding: utf-8 -*-
################################################################################
## Form generated from reading UI file 'bookwindow.ui'
##
## Created by: Qt User Interface Compiler version 5.14.0
##
## WARNING! All changes made in this file will be lost when recompiling UI file!
###############... | 0 | 0 | 0 | 4,553 | 0 | 0 | 0 | 231 | 90 |
24c230a304bff436e218ccf5ebd50b2cdc35065c | 2,356 | py | Python | src/analysisService.py | openeuler-mirror/hpcrunner | 338bc16b1dceb3909a49a6a51c0946c4b1a30f77 | [
"MulanPSL-1.0"
] | null | null | null | src/analysisService.py | openeuler-mirror/hpcrunner | 338bc16b1dceb3909a49a6a51c0946c4b1a30f77 | [
"MulanPSL-1.0"
] | null | null | null | src/analysisService.py | openeuler-mirror/hpcrunner | 338bc16b1dceb3909a49a6a51c0946c4b1a30f77 | [
"MulanPSL-1.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
| 25.608696 | 63 | 0.669355 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from machineService import MachineService
from configService import ConfigService
from downloadService import DownloadService
from installService import InstallService
from envService import EnvService
from buildService import BuildService
from runService import RunServi... | 0 | 0 | 0 | 1,850 | 0 | 0 | 0 | 192 | 266 |
dfdaee496a68b4ad6cd43c190ebddc067bf47fca | 5,280 | py | Python | feature_mining/em_original.py | nfreundlich/CS410_CourseProject | c50d0ff04472e48b0b59abe4467dc17d7c2cfab8 | [
"MIT"
] | null | null | null | feature_mining/em_original.py | nfreundlich/CS410_CourseProject | c50d0ff04472e48b0b59abe4467dc17d7c2cfab8 | [
"MIT"
] | 18 | 2018-10-24T01:35:45.000Z | 2018-12-17T03:57:36.000Z | feature_mining/em_original.py | nfreundlich/CS410_CourseProject | c50d0ff04472e48b0b59abe4467dc17d7c2cfab8 | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
em = ExpectationMaximizationOriginal()
em.em()
| 44.745763 | 143 | 0.57197 | import numpy as np
import math
from feature_mining.em_base import ExpectationMaximization
class ExpectationMaximizationOriginal(ExpectationMaximization):
"""
Original EM Algorithm as developed by Santu.
"""
def __init__(self, dump_path="../tests/data/em_01/"):
print(type(self).__name__, '- in... | 0 | 0 | 0 | 5,082 | 0 | 0 | 0 | 24 | 89 |
400952750f2e5961c31828c24e96fa7524ba2ebd | 98,704 | py | Python | pygeoutil/ggeo.py | ritviksahajpal/pygeoutil | b3d396c64eb7ecb8090bc6be9765003ce0b18cf5 | [
"MIT"
] | 1 | 2018-02-28T10:02:39.000Z | 2018-02-28T10:02:39.000Z | pygeoutil/ggeo.py | ritviksahajpal/pygeoutil | b3d396c64eb7ecb8090bc6be9765003ce0b18cf5 | [
"MIT"
] | 7 | 2016-08-14T03:54:26.000Z | 2022-03-11T23:17:45.000Z | pygeoutil/ggeo.py | ritviksahajpal/pygeoutil | b3d396c64eb7ecb8090bc6be9765003ce0b18cf5 | [
"MIT"
] | null | null | null | import os
import pdb
import time
import errno
import shapely.wkt
import shapely.ops
import shapely.prepared
import logging
import tempfile
import distutils.version
import atexit
import functools
import math
import numpy
import gdal
import gdalconst
from osgeo import gdal
from osgeo import osr
from osgeo import ogr
LO... | 39.560721 | 120 | 0.662314 | import os
import pdb
import time
import errno
import shapely.wkt
import shapely.ops
from shapely import speedups
import shapely.prepared
import subprocess
import logging
import tempfile
import distutils.version
import atexit
import functools
import math
import numpy
import gdal
import gdalconst
from osgeo import gdal
... | 0 | 0 | 0 | 0 | 5,804 | 127 | 0 | 3 | 120 |
01531490b5a75ebd803634367f6ed969cdc69f75 | 2,233 | py | Python | backend/course_application/sources/services/course_service.py | heyImDrew/edupro | 98b8342dda45071da4871bbf73f2ef002fee938f | [
"Apache-2.0"
] | null | null | null | backend/course_application/sources/services/course_service.py | heyImDrew/edupro | 98b8342dda45071da4871bbf73f2ef002fee938f | [
"Apache-2.0"
] | null | null | null | backend/course_application/sources/services/course_service.py | heyImDrew/edupro | 98b8342dda45071da4871bbf73f2ef002fee938f | [
"Apache-2.0"
] | null | null | null |
course_service = CourseService()
| 37.847458 | 94 | 0.677116 | import random
from ..serializers.course_serializers import CourseSerializer
from ..serializers.partition_serializer import PartitionSerializer, PartitionTaskSerializer
from ..models.user_course import UserCourse
from ..models.course import Course
from ..models.partition import Partition
from ..models.partition_task im... | 0 | 0 | 0 | 1,836 | 0 | 0 | 0 | 184 | 178 |
1dd066a74be8c7882c1f9c99223ba4a076b3de2d | 1,973 | py | Python | breeds/migrations/0002_auto_20180430_1118.py | rocity/simple-endpoints | 6754a7353dd6b71f19276b67467297e951129a45 | [
"MIT"
] | null | null | null | breeds/migrations/0002_auto_20180430_1118.py | rocity/simple-endpoints | 6754a7353dd6b71f19276b67467297e951129a45 | [
"MIT"
] | null | null | null | breeds/migrations/0002_auto_20180430_1118.py | rocity/simple-endpoints | 6754a7353dd6b71f19276b67467297e951129a45 | [
"MIT"
] | null | null | null | # Generated by Django 2.0.4 on 2018-04-30 11:18
| 37.942308 | 114 | 0.562088 | # Generated by Django 2.0.4 on 2018-04-30 11:18
from django.db import migrations, models
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
('breeds', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Anime',
fields... | 0 | 0 | 0 | 1,830 | 0 | 0 | 0 | 26 | 68 |
510eda9630efc129fe5bb152e8a858ee54a8d0b9 | 2,365 | py | Python | build.py | rpokemon/ideasforpokemon | b135b3f78a77abaf533b38c4eec75509b1a4a152 | [
"MIT"
] | null | null | null | build.py | rpokemon/ideasforpokemon | b135b3f78a77abaf533b38c4eec75509b1a4a152 | [
"MIT"
] | null | null | null | build.py | rpokemon/ideasforpokemon | b135b3f78a77abaf533b38c4eec75509b1a4a152 | [
"MIT"
] | null | null | null | #! python3
# Run Python script
if __name__ == '__main__':
main()
| 35.298507 | 164 | 0.586469 | #! python3
import datetime
import json
from csscompressor import compress
def main():
# Open config file
with open("config.json", 'r') as config_file:
config = json.load(config_file)
# Incriment the build counter
config["build"] += 1
# Print starting script message
print("\n{} CSS; bu... | 0 | 0 | 0 | 0 | 0 | 2,209 | 0 | -3 | 89 |
976ac13a0d17f78cc33df43ffbf0a73639846a80 | 1,783 | py | Python | s3dis_viz.py | zghera/pvcnn-tf | 9aaae991d8117736d0cb260bb525cf5e90c93f21 | [
"MIT"
] | null | null | null | s3dis_viz.py | zghera/pvcnn-tf | 9aaae991d8117736d0cb260bb525cf5e90c93f21 | [
"MIT"
] | null | null | null | s3dis_viz.py | zghera/pvcnn-tf | 9aaae991d8117736d0cb260bb525cf5e90c93f21 | [
"MIT"
] | null | null | null | """Demo to visualize data pipeline output."""
if __name__ == "__main__":
main(create_pointcloud_dump=False)
| 25.84058 | 73 | 0.614133 | """Demo to visualize data pipeline output."""
import matplotlib.pyplot as plt
import tensorflow as tf
from dataloaders.s3dis import create_s3dis_dataset
def main(create_pointcloud_dump: bool):
objects = {
0: "clutter",
1: "ceiling",
2: "floor",
3: "wall",
4: "beam",
5: "column",
6: "door... | 0 | 0 | 0 | 0 | 0 | 1,540 | 0 | 41 | 89 |
5f0c939440824c40818d4392a6861bfb95e0b707 | 636 | py | Python | heron/dsl/src/python/__init__.py | zhengyangtean/CG4001_Heron_ElasticBolt | e471593c265088996d485e2dd11c9f2484876568 | [
"Apache-2.0"
] | 1 | 2017-11-06T08:23:43.000Z | 2017-11-06T08:23:43.000Z | heron/dsl/src/python/__init__.py | zhengyangtean/CG4001_Heron_ElasticBolt | e471593c265088996d485e2dd11c9f2484876568 | [
"Apache-2.0"
] | null | null | null | heron/dsl/src/python/__init__.py | zhengyangtean/CG4001_Heron_ElasticBolt | e471593c265088996d485e2dd11c9f2484876568 | [
"Apache-2.0"
] | null | null | null | """
The top-level library for Heron's Python DSL, which enables you to write Heron
[topologies](https://twitter.github.io/heron/docs/concepts/topologies/) in
a Python DSL.
Heron topologies are acyclic graphs used to process streaming data. Topologies
have two major components:
[spouts](spout/spout.m.html#heron_py.spou... | 39.75 | 78 | 0.784591 | """
The top-level library for Heron's Python DSL, which enables you to write Heron
[topologies](https://twitter.github.io/heron/docs/concepts/topologies/) in
a Python DSL.
Heron topologies are acyclic graphs used to process streaming data. Topologies
have two major components:
[spouts](spout/spout.m.html#heron_py.spou... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 22 |
b5b8d9b15a585714c65998304ca44e6f5f5f48fc | 3,214 | py | Python | train_mask_detector.py | ali-commits/pyhtonML-FaceMaskDetection | 506294ba97786b2eb9c63936d9078eca4d5b4707 | [
"MIT"
] | null | null | null | train_mask_detector.py | ali-commits/pyhtonML-FaceMaskDetection | 506294ba97786b2eb9c63936d9078eca4d5b4707 | [
"MIT"
] | null | null | null | train_mask_detector.py | ali-commits/pyhtonML-FaceMaskDetection | 506294ba97786b2eb9c63936d9078eca4d5b4707 | [
"MIT"
] | null | null | null | from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.preprocessing.image import img_to_array
from tensorflow.keras.preprocessing.image import load_img
from tensorflow.keras.applications import MobileNetV2
from tensorflow.keras.applications.mobilenet_v2 import preprocess_input
from t... | 28.442478 | 86 | 0.756067 | from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.preprocessing.image import img_to_array
from tensorflow.keras.preprocessing.image import load_img
from tensorflow.keras.applications import MobileNetV2
from tensorflow.keras.applications.mobilenet_v2 import preprocess_input
from t... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -1 | 44 |
e22a9c687b78795ce4ef99ea128b7372e86e57eb | 505 | py | Python | api/test/test_statics_inhabitants.py | Viet2503/rki-vaccination-data | a40ff7be7e55850f5184cebc3cc1049541c87282 | [
"MIT"
] | 27 | 2020-12-30T06:47:23.000Z | 2021-12-05T14:14:53.000Z | api/test/test_statics_inhabitants.py | rphl/rki-vaccination-data | 360f1456613bfd2f0e6199016dde3941ed6f234a | [
"MIT"
] | 56 | 2020-12-31T09:00:57.000Z | 2022-01-19T18:17:15.000Z | api/test/test_statics_inhabitants.py | rphl/rki-vaccination-data | 360f1456613bfd2f0e6199016dde3941ed6f234a | [
"MIT"
] | 7 | 2020-12-30T13:39:58.000Z | 2021-11-21T13:52:53.000Z | """ Unittest """
import unittest
# pylint: disable=import-error
if __name__ == '__main__':
unittest.main()
| 28.055556 | 62 | 0.724752 | """ Unittest """
import unittest
# pylint: disable=import-error
from _utils.statics import inhabitants
class TestModuleStaticsInhabitants(unittest.TestCase):
""" Test Module for statics.inhabitants """
def test_total(self):
""" Test for inhabitants.TOTAL """
self.assertEqual(type(inhabitants.TOTAL).__name_... | 0 | 0 | 0 | 333 | 0 | 0 | 0 | 17 | 45 |
a102ca24a694ce5cda55ec16de27a47047d2234b | 21,181 | py | Python | nestedsulcusfeatures_HBM2011/register_to_template.py | binarybottle/nestedsulcusfeatures_HBM2011 | 4a1e064316b73c268c49383a34f49baca23cef93 | [
"Apache-2.0"
] | null | null | null | nestedsulcusfeatures_HBM2011/register_to_template.py | binarybottle/nestedsulcusfeatures_HBM2011 | 4a1e064316b73c268c49383a34f49baca23cef93 | [
"Apache-2.0"
] | null | null | null | nestedsulcusfeatures_HBM2011/register_to_template.py | binarybottle/nestedsulcusfeatures_HBM2011 | 4a1e064316b73c268c49383a34f49baca23cef93 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
"""
Register brains, landmarks, and labels to a template.
(c) 2011, @rno klein
"""
import os
from os.path import exists
from subprocess import call
from numpy import float, isnan
# Run intensity-based registration
# 1. Register brains to template
# 2. Transform brains to each other via template
# 3... | 50.672249 | 108 | 0.507153 | #!/usr/bin/python
"""
Register brains, landmarks, and labels to a template.
(c) 2011, @rno klein
"""
import os
from os.path import exists
from subprocess import call
from numpy import float, isnan
# Run intensity-based registration
# 1. Register brains to template
# 2. Transform brains to each other via template
# 3... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
74727a6c79fe3a6e89dbf9ba47e01f093de21c57 | 574 | py | Python | EfficientCoding/Assignment-1-equilibriumindex.py | vikbehal/Explore | b35948d8a6894647df3ee462746475f7e66f78f8 | [
"MIT"
] | 3 | 2019-01-29T06:33:34.000Z | 2022-01-26T20:01:04.000Z | EfficientCoding/Assignment-1-equilibriumindex.py | vikbehal/Explore | b35948d8a6894647df3ee462746475f7e66f78f8 | [
"MIT"
] | null | null | null | EfficientCoding/Assignment-1-equilibriumindex.py | vikbehal/Explore | b35948d8a6894647df3ee462746475f7e66f78f8 | [
"MIT"
] | 1 | 2022-03-11T10:47:29.000Z | 2022-03-11T10:47:29.000Z |
#inputString = input()
inputString = "3,-4, 2, -1,-3, 2, 1"
inputList = [int(val) for val in inputString.split(",")]
print(solve(inputList)) | 22.076923 | 57 | 0.557491 | def solve(inputList):
# Edge cases
if sum(inputList[1:]) == 0:
return 0
totalItems = len(inputList)
if sum(inputList[:totalItems - 1]) == 0:
return totalItems - 1
leftSum = 0
rightSum = sum(inputList)
for idx, item in enumerate(inputList):
rightSum -= it... | 0 | 0 | 0 | 0 | 0 | 404 | 0 | 0 | 23 |
90e2e88ba073a5e73d350beeba17dadc19ce1da1 | 390 | py | Python | rplugin/python3/defx/session.py | roachsinai/defx.nvim | 609e858b5211ec4de45cb93045ab320c961048b2 | [
"MIT"
] | 1,229 | 2017-01-03T13:21:59.000Z | 2022-03-29T06:33:20.000Z | rplugin/python3/defx/session.py | roachsinai/defx.nvim | 609e858b5211ec4de45cb93045ab320c961048b2 | [
"MIT"
] | 295 | 2017-12-07T02:38:55.000Z | 2022-03-29T00:30:52.000Z | rplugin/python3/defx/session.py | roachsinai/defx.nvim | 609e858b5211ec4de45cb93045ab320c961048b2 | [
"MIT"
] | 136 | 2018-07-20T02:57:54.000Z | 2022-03-01T00:30:36.000Z | # ============================================================================
# FILE: session.py
# AUTHOR: Shougo Matsushita <Shougo.Matsu at gmail.com>
# License: MIT license
# ============================================================================
| 27.857143 | 78 | 0.402564 | # ============================================================================
# FILE: session.py
# AUTHOR: Shougo Matsushita <Shougo.Matsu at gmail.com>
# License: MIT license
# ============================================================================
import typing
class Session(typing.NamedTuple):
name: str... | 0 | 0 | 0 | 95 | 0 | 0 | 0 | -8 | 46 |
6ee29bfe43fc37be3cb3d8d63953bf79d532f4aa | 1,973 | py | Python | vae.py | chauhankaranraj/ELDR-pytorch | 99d40186e960933e6f0ae18270530f3534741296 | [
"MIT"
] | null | null | null | vae.py | chauhankaranraj/ELDR-pytorch | 99d40186e960933e6f0ae18270530f3534741296 | [
"MIT"
] | null | null | null | vae.py | chauhankaranraj/ELDR-pytorch | 99d40186e960933e6f0ae18270530f3534741296 | [
"MIT"
] | null | null | null | # NOTE: this code is currently copypasta'd from pytorch official examples repo at
# https://github.com/pytorch/examples/blob/master/vae/main.py
# In the future, this could probably be added as a submodule
import torch.nn as nn
# Reconstruction + KL divergence losses summed over all elements and batch
| 34.017241 | 81 | 0.660416 | # NOTE: this code is currently copypasta'd from pytorch official examples repo at
# https://github.com/pytorch/examples/blob/master/vae/main.py
# In the future, this could probably be added as a submodule
import pdb
import torch
import torch.nn as nn
import torch.nn.functional as F
class VAE(nn.Module):
def __ini... | 0 | 0 | 0 | 813 | 0 | 753 | 0 | -10 | 112 |
35744b0cc75c7d6a7b087efb811ee192fa489500 | 318 | py | Python | onfido/apps.py | snicks1/django-onfido | 7288552c6a156d022539d4d22d7f5a0236018ada | [
"MIT"
] | null | null | null | onfido/apps.py | snicks1/django-onfido | 7288552c6a156d022539d4d22d7f5a0236018ada | [
"MIT"
] | null | null | null | onfido/apps.py | snicks1/django-onfido | 7288552c6a156d022539d4d22d7f5a0236018ada | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
| 19.875 | 50 | 0.625786 | # -*- coding: utf-8 -*-
from django.apps import AppConfig
class OnfidoAppConfig(AppConfig):
"""AppConfig for Django-Onfido."""
name = 'onfido'
verbose_name = "Onfido"
configs = []
def ready(self):
"""Validate config and connect signals."""
super(OnfidoAppConfig, self).ready()
| 0 | 0 | 0 | 236 | 0 | 0 | 0 | 12 | 45 |
6f54454045f345a91f5cdf3456d3e88496e7aada | 8,242 | py | Python | bob/bio/face/database/pola_thermal.py | bioidiap/bob.bio.face | 2341e6423ca5a412ebe23fa18acacd69ea1ef914 | [
"BSD-3-Clause"
] | 4 | 2016-09-01T13:16:46.000Z | 2021-09-03T03:27:18.000Z | bob/bio/face/database/pola_thermal.py | bioidiap/bob.bio.face | 2341e6423ca5a412ebe23fa18acacd69ea1ef914 | [
"BSD-3-Clause"
] | 6 | 2015-09-02T19:31:15.000Z | 2016-10-10T21:48:39.000Z | bob/bio/face/database/pola_thermal.py | bioidiap/bob.bio.face | 2341e6423ca5a412ebe23fa18acacd69ea1ef914 | [
"BSD-3-Clause"
] | 6 | 2015-10-07T17:18:48.000Z | 2017-07-18T19:41:14.000Z | #!/usr/bin/env python
# vim: set fileencoding=utf-8 :
# Tiago de Freitas Pereira <tiago.pereira@idiap.ch>
"""
PolaThermal database: database implementation
"""
| 45.038251 | 314 | 0.609803 | #!/usr/bin/env python
# vim: set fileencoding=utf-8 :
# Tiago de Freitas Pereira <tiago.pereira@idiap.ch>
"""
PolaThermal database: database implementation
"""
from bob.bio.base.database import CSVDataset
from bob.bio.base.database import CSVToSampleLoaderBiometrics
from bob.bio.face.database.sample_loaders import ... | 20 | 2,601 | 0 | 5,136 | 0 | 0 | 0 | 153 | 178 |
9afdc4c833bc248918013ec47848b1b410c62331 | 5,661 | py | Python | Repository_files/TLCS/models/create_plots.py | kraken24/mhp_hackathon_sustainable_traffic_light_challenge | 0b4c61968d54c7e8faceb07a2c78c70570a2e162 | [
"CC0-1.0"
] | null | null | null | Repository_files/TLCS/models/create_plots.py | kraken24/mhp_hackathon_sustainable_traffic_light_challenge | 0b4c61968d54c7e8faceb07a2c78c70570a2e162 | [
"CC0-1.0"
] | null | null | null | Repository_files/TLCS/models/create_plots.py | kraken24/mhp_hackathon_sustainable_traffic_light_challenge | 0b4c61968d54c7e8faceb07a2c78c70570a2e162 | [
"CC0-1.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sat Mar 5 02:12:12 2022
@author: Kraken
Project: MHP Hackathon
"""
import os
import pandas as pd
import matplotlib.pyplot as plt
plt.rcParams.update({'font.size': 16})
WORKING_DIR = "model_14"
WORKING_DIR2 = "model_12"
# "model_8": dqn with fixed weights
# "model_4": dqn
MVG_... | 35.161491 | 84 | 0.585409 | # -*- coding: utf-8 -*-
"""
Created on Sat Mar 5 02:12:12 2022
@author: Kraken
Project: MHP Hackathon
"""
import os
import pandas as pd
import matplotlib.pyplot as plt
plt.rcParams.update({'font.size': 16})
WORKING_DIR = "model_14"
WORKING_DIR2 = "model_12"
# "model_8": dqn with fixed weights
# "model_4": dqn
MVG_... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ab4dcf42708ad98c9f00d476dd47908b95919fce | 22,998 | py | Python | src/deepke/relation_extraction/multimodal/models/clip/feature_extraction_utils.py | johncolezhang/DeepKE | ea4552ec42cb003a835f00fc14fb454f9a9a7183 | [
"MIT"
] | 3 | 2022-02-18T05:03:02.000Z | 2022-03-19T12:32:16.000Z | src/deepke/relation_extraction/multimodal/models/clip/feature_extraction_utils.py | johncolezhang/DeepKE | ea4552ec42cb003a835f00fc14fb454f9a9a7183 | [
"MIT"
] | null | null | null | src/deepke/relation_extraction/multimodal/models/clip/feature_extraction_utils.py | johncolezhang/DeepKE | ea4552ec42cb003a835f00fc14fb454f9a9a7183 | [
"MIT"
] | null | null | null | # coding=utf-8
# Copyright 2021 The HuggingFace Inc. team.
#
# 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... | 44.226923 | 189 | 0.651709 | # coding=utf-8
# Copyright 2021 The HuggingFace Inc. team.
#
# 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... | 0 | 13,374 | 0 | 7,725 | 0 | 197 | 0 | 137 | 348 |
781ab1b68d7175d472282dd2c34637ddada37ab7 | 23,855 | py | Python | tests/test_outputs_handler_matsim_xml_writer.py | arup-group/genet | 24bfbee31da6d7951598adb29ddf17d3a08ed5e6 | [
"MIT"
] | 22 | 2020-12-22T11:11:44.000Z | 2022-03-07T16:25:35.000Z | tests/test_outputs_handler_matsim_xml_writer.py | tkahng/genet | d5c29ed9e44408b60f55d8de889d7430debc9f04 | [
"MIT"
] | 27 | 2020-12-22T09:45:35.000Z | 2022-03-03T14:52:24.000Z | tests/test_outputs_handler_matsim_xml_writer.py | tkahng/genet | d5c29ed9e44408b60f55d8de889d7430debc9f04 | [
"MIT"
] | 7 | 2021-01-02T10:00:05.000Z | 2022-01-06T03:53:43.000Z | import os, sys
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
pt2matsim_network_test_file = os.path.abspath(
os.path.join(os.path.dirname(__file__), "test_data", "matsim", "network.xml"))
pt2matsim_schedule_file = os.path.abspath(
os.path.join(os.path.dirname(__file__), "tes... | 51.634199 | 117 | 0.57686 | import os, sys
import pytest
import lxml
from copy import deepcopy
from shapely.geometry import LineString
from tests.fixtures import network_object_from_test_data, full_fat_default_config_path, assert_semantically_equal
from tests import xml_diff
from genet.outputs_handler import matsim_xml_writer
from genet.core impo... | 0 | 980 | 0 | 0 | 0 | 21,371 | 0 | 203 | 794 |
6fc066cfaa85a48df43cc8e9329854aaebfcadd0 | 7,123 | py | Python | lesson04/likangwen/lession04_hw.py | herrywen-nanj/51reboot | 1130c79a360e1b548a6eaad176eb60f8bed22f40 | [
"Apache-2.0"
] | null | null | null | lesson04/likangwen/lession04_hw.py | herrywen-nanj/51reboot | 1130c79a360e1b548a6eaad176eb60f8bed22f40 | [
"Apache-2.0"
] | null | null | null | lesson04/likangwen/lession04_hw.py | herrywen-nanj/51reboot | 1130c79a360e1b548a6eaad176eb60f8bed22f40 | [
"Apache-2.0"
] | null | null | null |
#
RESULT = {}
# USERINFO = ("admin", "123456")
USERINFO = ("a", "a")
FIELDS = ['name', 'age', 'tel', 'email']
# RESULT.append(FIELDS)
FORMAT = """
====================================================================
1.
username age tel email
2.
2.1 add # add monkey 12 132xxx monkey@51reboot.com
... | 28.955285 | 106 | 0.491226 | import sys
import getpass
import json
from prettytable import PrettyTable
import pandas
import logging
import os.path
import time
# 定义变量
RESULT = {}
# USERINFO = ("admin", "123456")
USERINFO = ("a", "a")
FIELDS = ['name', 'age', 'tel', 'email']
# RESULT.append(FIELDS)
FORMAT = """
==================================... | 1,200 | 0 | 0 | 0 | 0 | 5,572 | 0 | -46 | 441 |
d33ec8e728c20478a449e26f8c58c3e1196d416e | 8,511 | py | Python | troposphere_mate/core/orchestration.py | tsuttsu305/troposphere_mate-project | 15ee94cc913efb32bc991979efcad943c992074c | [
"MIT"
] | 10 | 2019-07-08T14:52:16.000Z | 2021-10-15T22:18:22.000Z | troposphere_mate/core/orchestration.py | tsuttsu305/troposphere_mate-project | 15ee94cc913efb32bc991979efcad943c992074c | [
"MIT"
] | 1 | 2019-07-08T00:36:50.000Z | 2019-07-08T00:36:50.000Z | troposphere_mate/core/orchestration.py | tsuttsu305/troposphere_mate-project | 15ee94cc913efb32bc991979efcad943c992074c | [
"MIT"
] | 2 | 2020-03-22T14:44:54.000Z | 2020-08-05T02:08:01.000Z | # -*- coding: utf-8 -*-
"""
Implement a Orchestration Framework.
"""
try:
except:
pass
def resolve_pipeline(plan):
"""
:type plan: List[Tuple[str, str]]
:param plan: [(can_id, tag), ...]
:rtype: List[Tuple[List[str], str]]]
"""
pipeline_change_set = list()
job = ([], None)
pre... | 29.655052 | 99 | 0.602397 | # -*- coding: utf-8 -*-
"""
Implement a Orchestration Framework.
"""
try:
from typing import List, Tuple, Dict, Type
except:
pass
import attr
from collections import OrderedDict
from pathlib_mate import PathCls as Path
from .mate import AWSObject, Template
from .canned import Canned
def resolve_pipeline(p... | 1,011 | 1,916 | 0 | 4,916 | 0 | 0 | 0 | 65 | 298 |
c14cc8c968eafae9faee4ceccaee3b5b93fb10da | 4,863 | py | Python | findfaceApp/findeyes/frol.py | WilShi/unity_tool | 14df85aec6f2c889a3c7bf4f88d6632029f96bef | [
"MIT"
] | null | null | null | findfaceApp/findeyes/frol.py | WilShi/unity_tool | 14df85aec6f2c889a3c7bf4f88d6632029f96bef | [
"MIT"
] | null | null | null | findfaceApp/findeyes/frol.py | WilShi/unity_tool | 14df85aec6f2c889a3c7bf4f88d6632029f96bef | [
"MIT"
] | null | null | null | from sys import argv
if __name__ == "__main__":
Frol().startfind(argv[1])
| 28.946429 | 127 | 0.544931 |
import datetime
from sys import argv
import tensorflow as tf
import os
import glob
from skimage import io
import matplotlib.pyplot as plt
from multiprocessing import Process
from PIL import Image, ImageDraw
from pathlib import Path
from PyQt5.QtWidgets import QApplication, QWidget, QMessageBox
import qdarkstyle
imp... | 156 | 0 | 0 | 4,318 | 0 | 0 | 0 | 68 | 336 |
d6ccd34a5a30b7522fa57f541100cb9301ffad9e | 1,971 | py | Python | pixeldrain.py | FayasNoushad/Pixeldrain | e8d620986f3d186b6c472b75db8bd3dad58bf4b5 | [
"MIT"
] | 5 | 2021-11-28T12:03:12.000Z | 2021-12-29T03:14:06.000Z | pixeldrain.py | FayasNoushad/Pixeldrain | e8d620986f3d186b6c472b75db8bd3dad58bf4b5 | [
"MIT"
] | null | null | null | pixeldrain.py | FayasNoushad/Pixeldrain | e8d620986f3d186b6c472b75db8bd3dad58bf4b5 | [
"MIT"
] | 1 | 2021-12-21T02:42:41.000Z | 2021-12-21T02:42:41.000Z | import requests
def upload_file(file):
"""
Upload a file to pixeldrain
upload_file(file)
"""
response = requests.post(
"https://pixeldrain.com/api/file",
data={"anonymous": True},
files={"file": open(file, "rb")}
)
return response.json()
def file(file_id):
... | 28.157143 | 136 | 0.646372 | import requests
def upload_file(file):
"""
Upload a file to pixeldrain
upload_file(file)
"""
response = requests.post(
"https://pixeldrain.com/api/file",
data={"anonymous": True},
files={"file": open(file, "rb")}
)
return response.json()
def file(file_id):
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
72b3cfe0b7ace9709b11fe2908ccaeabc29f1262 | 1,359 | py | Python | 08.Regression/8.2.LinearRegression_CV.py | radiumweilei/chinahadoop-ml-2 | ea886610a6ccb278afeff759bf2dc8a30ef3f275 | [
"Apache-2.0"
] | null | null | null | 08.Regression/8.2.LinearRegression_CV.py | radiumweilei/chinahadoop-ml-2 | ea886610a6ccb278afeff759bf2dc8a30ef3f275 | [
"Apache-2.0"
] | null | null | null | 08.Regression/8.2.LinearRegression_CV.py | radiumweilei/chinahadoop-ml-2 | ea886610a6ccb278afeff759bf2dc8a30ef3f275 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# -*- coding:utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.linear_model import Lasso
from sklearn.model_selection import GridSearchCV
if __name__ == "__main__":
# pandas
data = pd.read_csv('8... | 32.357143 | 98 | 0.658572 | #!/usr/bin/python
# -*- coding:utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.linear_model import Lasso, Ridge, ElasticNet
from sklearn.model_selection import GridSearchCV
if __name__ == "__main__":
# pandas读入
... | 105 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0 |
549b9bd68f1c4944ff9d770440583ba0a6c1005e | 1,967 | py | Python | lbrynet/daemon/auth/factory.py | vyaspranjal33/lbry | e03e41ad3105ccc0d8d8891b0e9fa63f9bbfce34 | [
"MIT"
] | null | null | null | lbrynet/daemon/auth/factory.py | vyaspranjal33/lbry | e03e41ad3105ccc0d8d8891b0e9fa63f9bbfce34 | [
"MIT"
] | null | null | null | lbrynet/daemon/auth/factory.py | vyaspranjal33/lbry | e03e41ad3105ccc0d8d8891b0e9fa63f9bbfce34 | [
"MIT"
] | null | null | null | import logging
log = logging.getLogger(__name__)
| 38.568627 | 107 | 0.688866 | import logging
from twisted.web import server, guard, resource
from twisted.cred import portal
from lbrynet import conf
from .auth import PasswordChecker, HttpPasswordRealm
from ..auth.keyring import Keyring
log = logging.getLogger(__name__)
class HTTPJSONRPCFactory(server.Site):
def __init__(self, resource, k... | 0 | 0 | 0 | 1,650 | 0 | 0 | 0 | 83 | 181 |
f9abc59e0046c917fae8331d828bf949fa2bf3b8 | 11,840 | py | Python | http_async_client/base.py | jossefaz/async-http-client | 74fe7540d1781d64d41161350019bc5ccfec6426 | [
"MIT"
] | 1 | 2021-12-05T21:01:59.000Z | 2021-12-05T21:01:59.000Z | http_async_client/base.py | jossefaz/http-async-client | 74fe7540d1781d64d41161350019bc5ccfec6426 | [
"MIT"
] | null | null | null | http_async_client/base.py | jossefaz/http-async-client | 74fe7540d1781d64d41161350019bc5ccfec6426 | [
"MIT"
] | null | null | null |
async_client_factory = BaseRESTAsyncClient.get_instance
| 40.409556 | 157 | 0.601098 | from functools import partial
from typing import Union, Dict, Optional
from http_async_client.enums import SupportedProtocols, Methods
import httpx
import re
from dataclasses import dataclass
from httpx._types import RequestContent, URLTypes, RequestData, RequestFiles, QueryParamTypes, HeaderTypes, CookieTypes
from nan... | 0 | 2,305 | 4,727 | 4,281 | 0 | 0 | 0 | 155 | 311 |
da8499f0797074b5c7fabba9eb9bbeb7b0b66b09 | 728 | py | Python | examples/textArea.py | tgolsson/appJar | 5e2f8bff44e927e7c2bae17fccddc6dbf79952f0 | [
"Apache-2.0"
] | 666 | 2016-11-14T18:17:40.000Z | 2022-03-29T03:53:22.000Z | examples/textArea.py | tgolsson/appJar | 5e2f8bff44e927e7c2bae17fccddc6dbf79952f0 | [
"Apache-2.0"
] | 598 | 2016-10-20T21:04:09.000Z | 2022-03-15T22:44:49.000Z | examples/textArea.py | tgolsson/appJar | 5e2f8bff44e927e7c2bae17fccddc6dbf79952f0 | [
"Apache-2.0"
] | 95 | 2017-01-19T12:23:58.000Z | 2022-03-06T18:16:21.000Z | import sys
sys.path.append("../")
from appJar import gui
app=gui()
app.addScrolledTextArea("t1")
app.setTextAreaChangeFunction("t1", press)
app.addButtons(["CLEAR", "SET"], press)
app.addButtons(["LOG", "CHECK"], log)
app.addCheckBox("CALL")
app.addCheckBox("END")
app.addEntry("text")
app.go()
| 23.483871 | 117 | 0.637363 | import sys
sys.path.append("../")
from appJar import gui
def press(btn=None):
if btn == "CLEAR":
app.clearTextArea("t1", callFunction=app.getCheckBox("CALL"))
elif btn == "SET":
app.setTextArea("t1", app.getEntry("text"), callFunction=app.getCheckBox("CALL"), end=app.getCheckBox("END"))
els... | 0 | 0 | 0 | 0 | 0 | 383 | 0 | 0 | 46 |
588b761156ea659c9c346c22dd0ae03fb49cf417 | 12,480 | py | Python | dp_multiq/tree.py | michaeljneely/google-research | 8028769662d23426be6d316e4ab954e8c85cf8fe | [
"Apache-2.0"
] | 1 | 2021-08-15T20:03:51.000Z | 2021-08-15T20:03:51.000Z | dp_multiq/tree.py | michaeljneely/google-research | 8028769662d23426be6d316e4ab954e8c85cf8fe | [
"Apache-2.0"
] | 12 | 2021-08-25T16:15:31.000Z | 2022-02-10T05:10:37.000Z | dp_multiq/tree.py | michaeljneely/google-research | 8028769662d23426be6d316e4ab954e8c85cf8fe | [
"Apache-2.0"
] | 1 | 2021-05-09T07:26:31.000Z | 2021-05-09T07:26:31.000Z | # coding=utf-8
# Copyright 2021 The Google Research 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 applicab... | 35.965418 | 127 | 0.685817 | # coding=utf-8
# Copyright 2021 The Google Research 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 applicab... | 0 | 0 | 0 | 9,457 | 0 | 0 | 0 | -13 | 68 |
81b0da0e4b675061328ec8d1c6ae3f7c6c0db455 | 5,077 | py | Python | kaa/exts/games/_cards.py | haasosaurus/kaa | 476fc93e2c6c9a75c2eaf70f189ef993e877f896 | [
"MIT"
] | 2 | 2021-11-16T01:18:18.000Z | 2021-12-28T06:53:34.000Z | kaa/exts/games/_cards.py | haasosaurus/pythonidae | 476fc93e2c6c9a75c2eaf70f189ef993e877f896 | [
"MIT"
] | null | null | null | kaa/exts/games/_cards.py | haasosaurus/pythonidae | 476fc93e2c6c9a75c2eaf70f189ef993e877f896 | [
"MIT"
] | 5 | 2020-02-23T00:50:30.000Z | 2020-06-24T07:42:45.000Z | # -*- coding: utf-8 -*-
if __name__ == '__main__':
tests()
| 22.766816 | 128 | 0.515068 | # -*- coding: utf-8 -*-
import enum
import random
from typing import Union
class Card:
"""
represents a single playing card
"""
class Suit(enum.Enum):
SPADES = ('Spades', 'S', '♠️')
DIAMONDS = ('Diamonds', 'D', '♣️')
CLUBS = ('Clubs', 'C', '♥️')
HEARTS = ('Hearts', '... | 264 | 0 | 0 | 3,201 | 0 | 1,615 | 0 | -15 | 136 |
c48e6a44c4da3a2f27992537d69968cbcb561fe2 | 1,806 | py | Python | nipype/interfaces/freesurfer/__init__.py | effigies/nipype | 18fe222557cf3b9627e06b2a66fba589feaca581 | [
"Apache-2.0"
] | null | null | null | nipype/interfaces/freesurfer/__init__.py | effigies/nipype | 18fe222557cf3b9627e06b2a66fba589feaca581 | [
"Apache-2.0"
] | 2 | 2017-10-05T21:08:38.000Z | 2018-10-09T23:01:23.000Z | nipype/interfaces/freesurfer/__init__.py | effigies/nipype | 18fe222557cf3b9627e06b2a66fba589feaca581 | [
"Apache-2.0"
] | null | null | null | # emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
"""Top-level namespace for freesurfer."""
| 66.888889 | 91 | 0.668328 | # emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
"""Top-level namespace for freesurfer."""
from .base import Info, FSCommand, no_freesurfer
from .preprocess import (ParseDICOMDir, UnpackSDICOMDir, MRIConvert, Resample,
ReconAll, ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,517 | 133 |
e0e9a4a6b64f80ce663be8d5634e8732072df3c3 | 211 | py | Python | WEEKS/CD_Sata-Structures/_RESOURCES/CODESIGNAL/valid_time.py | webdevhub42/Lambda | b04b84fb5b82fe7c8b12680149e25ae0d27a0960 | [
"MIT"
] | null | null | null | WEEKS/CD_Sata-Structures/_RESOURCES/CODESIGNAL/valid_time.py | webdevhub42/Lambda | b04b84fb5b82fe7c8b12680149e25ae0d27a0960 | [
"MIT"
] | null | null | null | WEEKS/CD_Sata-Structures/_RESOURCES/CODESIGNAL/valid_time.py | webdevhub42/Lambda | b04b84fb5b82fe7c8b12680149e25ae0d27a0960 | [
"MIT"
] | null | null | null | def validTime(time):
"""
Boolean indicating if time is in valid 24hr format
"""
tokens = time.split(':')
hours = int(tokens[0])
minutes = int(tokens[1])
return not (hours > 23 or minutes > 59) | 26.375 | 51 | 0.625592 | def validTime(time):
"""
Boolean indicating if time is in valid 24hr format
"""
tokens = time.split(':')
hours = int(tokens[0])
minutes = int(tokens[1])
return not (hours > 23 or minutes > 59) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
af5759f25b7a68cffdc5af17722bac8dc2f24f92 | 1,672 | py | Python | copy_csv_res.py | Murilodsv/py-jules | 601ca9e6fbad7fe82404f5296babb04583ddda95 | [
"MIT"
] | null | null | null | copy_csv_res.py | Murilodsv/py-jules | 601ca9e6fbad7fe82404f5296babb04583ddda95 | [
"MIT"
] | null | null | null | copy_csv_res.py | Murilodsv/py-jules | 601ca9e6fbad7fe82404f5296babb04583ddda95 | [
"MIT"
] | 1 | 2020-04-13T17:23:54.000Z | 2020-04-13T17:23:54.000Z | # -*- coding: utf-8 -*-
"""
Created on Tue Apr 20 13:32:20 2021
#--- Copy csv results to single folder based on dashboard_db.csv
#--- Murilo Vianna (murilodsv@gmail.com)
#--- May, 2021.
#--- Dev-log in: https://github.com/Murilodsv/py-jules
@author: muril
"""
# DEBUG import os; os.chdir('C:/M... | 24.588235 | 89 | 0.504785 | # -*- coding: utf-8 -*-
"""
Created on Tue Apr 20 13:32:20 2021
#--- Copy csv results to single folder based on dashboard_db.csv
#--- Murilo Vianna (murilodsv@gmail.com)
#--- May, 2021.
#--- Dev-log in: https://github.com/Murilodsv/py-jules
@author: muril
"""
# DEBUG import os; os.chdir('C:/M... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
761134a35bd916ec48ce32ff5660748d454f087a | 68 | py | Python | dtale_desktop/default_sources/dft_csv/metadata.py | dennislwm/dtale-desktop | 1a034d505f6b45c1ece4c18b83af6ae367d16824 | [
"MIT"
] | 154 | 2020-10-27T00:33:51.000Z | 2022-02-19T13:16:36.000Z | dtale_desktop/default_sources/dft_csv/metadata.py | dennislwm/dtale-desktop | 1a034d505f6b45c1ece4c18b83af6ae367d16824 | [
"MIT"
] | 9 | 2020-10-26T23:48:38.000Z | 2021-02-18T04:13:42.000Z | dtale_desktop/default_sources/dft_csv/metadata.py | dennislwm/dtale-desktop | 1a034d505f6b45c1ece4c18b83af6ae367d16824 | [
"MIT"
] | 15 | 2021-01-31T01:11:20.000Z | 2022-02-17T11:41:27.000Z | import os
display_name = f"csv files in {os.path.expanduser('~')}"
| 17 | 56 | 0.691176 | import os
display_name = f"csv files in {os.path.expanduser('~')}"
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8a65b2fac9052c66b04cfc5adb41cf66fe6c89b0 | 790 | py | Python | filter_plugins/wrap_list_elements.py | major/ansible-role-aptly | ca975fe854831c0694c0b5dc56be9ac056b7602c | [
"MIT"
] | 2 | 2017-01-24T14:58:25.000Z | 2017-05-23T08:10:28.000Z | filter_plugins/wrap_list_elements.py | major/ansible-role-aptly | ca975fe854831c0694c0b5dc56be9ac056b7602c | [
"MIT"
] | 8 | 2016-12-05T14:33:55.000Z | 2018-07-19T15:33:02.000Z | filter_plugins/wrap_list_elements.py | major/ansible-role-aptly | ca975fe854831c0694c0b5dc56be9ac056b7602c | [
"MIT"
] | 7 | 2015-11-01T15:05:09.000Z | 2019-01-18T09:35:54.000Z | from ansible import errors
#
# Additional Jinja2 filter to wrap list elements with quote
#
def wrap_list_elements(arg):
"""
Wrap each list element with quote, to use before join filter
:param arg: the brute list to manage
:type arg: list
:return: quoted elements
:rtype: l... | 21.351351 | 68 | 0.634177 | from ansible import errors
#
# Additional Jinja2 filter to wrap list elements with quote
#
def wrap_list_elements(arg):
"""
Wrap each list element with quote, to use before join filter
:param arg: the brute list to manage
:type arg: list
:return: quoted elements
:rtype: l... | 0 | 0 | 0 | 197 | 0 | 0 | 0 | 0 | 23 |