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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
47543c1ac833e87d3d5612f874d23ecb800b05cb | 2,165 | py | Python | rq1.py | ai-se/TimeLIME | eaf8cd44715bb1f6dcac29f4c0bfb2c93809ac98 | [
"MIT"
] | null | null | null | rq1.py | ai-se/TimeLIME | eaf8cd44715bb1f6dcac29f4c0bfb2c93809ac98 | [
"MIT"
] | null | null | null | rq1.py | ai-se/TimeLIME | eaf8cd44715bb1f6dcac29f4c0bfb2c93809ac98 | [
"MIT"
] | 1 | 2021-04-28T17:21:30.000Z | 2021-04-28T17:21:30.000Z |
if __name__ == "__main__":
main()
| 42.45098 | 114 | 0.62448 | from planner import *
from othertools import *
import matplotlib.pyplot as plt
def main():
score_2t = readfile('rq1_TimeLIME.csv')
score_2f = readfile('rq1_LIME.csv')
scores2_x = readfile('rq1_XTREE.csv')
scores2_alve = readfile('rq1_Alves.csv')
scores2_shat = readfile('rq1_Shat.csv')
scores2_... | 0 | 0 | 0 | 0 | 0 | 2,022 | 0 | 13 | 89 |
c0a16e3749506bef84fa901fa7d4b90d64b11cac | 129 | py | Python | livechat/customer/__init__.py | livechat/lc-sdk-python | 536483590b9600ef1bc86fe36a1f810368b85a9d | [
"Apache-2.0"
] | 5 | 2021-03-22T19:22:05.000Z | 2022-01-18T13:38:22.000Z | livechat/customer/__init__.py | livechat/lc-sdk-python | 536483590b9600ef1bc86fe36a1f810368b85a9d | [
"Apache-2.0"
] | 5 | 2021-10-05T14:44:33.000Z | 2022-02-16T07:33:51.000Z | livechat/customer/__init__.py | livechat/lc-sdk-python | 536483590b9600ef1bc86fe36a1f810368b85a9d | [
"Apache-2.0"
] | null | null | null | #pylint: disable=C0114
| 32.25 | 52 | 0.852713 | #pylint: disable=C0114
from livechat.customer.rtm.client import CustomerRTM
from livechat.customer.web.client import CustomerWeb
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 62 | 44 |
8532b6e0caf9273719815c7bb094f49cd9b9c2d3 | 1,821 | py | Python | master-branches/add_master_branch.py | FrNecas/source-git-onboarding | 550a39045af2ddb9517e2c323a2697a40dd27f6f | [
"MIT"
] | null | null | null | master-branches/add_master_branch.py | FrNecas/source-git-onboarding | 550a39045af2ddb9517e2c323a2697a40dd27f6f | [
"MIT"
] | 4 | 2020-10-26T16:06:34.000Z | 2022-03-30T13:32:28.000Z | master-branches/add_master_branch.py | FrNecas/source-git-onboarding | 550a39045af2ddb9517e2c323a2697a40dd27f6f | [
"MIT"
] | 6 | 2020-10-20T15:14:07.000Z | 2022-03-16T09:56:31.000Z | import os
from logging import getLogger
from pathlib import Path
import requests
from ogr.services.pagure import PagureService
logger = getLogger(__name__)
work_dir = Path("/tmp/playground")
readme_path = Path(__file__).parent / "README.md"
service = PagureService(
token=os.getenv("PAGURE_TOKEN"), instance_url="... | 29.370968 | 86 | 0.637013 | import os
import shutil
from logging import getLogger
from pathlib import Path
from shutil import copyfile
import git
import requests
from ogr.services.pagure import PagureService
logger = getLogger(__name__)
work_dir = Path("/tmp/playground")
readme_path = Path(__file__).parent / "README.md"
service = PagureServic... | 0 | 0 | 0 | 924 | 0 | 0 | 0 | -13 | 90 |
442feb0e4bfea18cece7737dc7439b2f3bbaf507 | 1,468 | py | Python | lintcode/86.py | jianershi/algorithm | c3c38723b9c5f1cc745550d89e228f92fd4abfb2 | [
"MIT"
] | 1 | 2021-01-08T06:57:49.000Z | 2021-01-08T06:57:49.000Z | lintcode/86.py | jianershi/algorithm | c3c38723b9c5f1cc745550d89e228f92fd4abfb2 | [
"MIT"
] | null | null | null | lintcode/86.py | jianershi/algorithm | c3c38723b9c5f1cc745550d89e228f92fd4abfb2 | [
"MIT"
] | 1 | 2021-01-08T06:57:52.000Z | 2021-01-08T06:57:52.000Z | """
86. Binary Search Tree Iterator
https://www.lintcode.com/problem/binary-search-tree-iterator/description
the difference between this method and the standard method is:
if one has right subtree, it no longer keep itself in the stack.
so when taken out of the stack, it does not need to make extra step to remove itse... | 23.677419 | 85 | 0.615123 | """
86. Binary Search Tree Iterator
https://www.lintcode.com/problem/binary-search-tree-iterator/description
the difference between this method and the standard method is:
if one has right subtree, it no longer keep itself in the stack.
so when taken out of the stack, it does not need to make extra step to remove itse... | 0 | 0 | 0 | 721 | 0 | 0 | 0 | 0 | 23 |
6ee76beff0708fcda0432ab4f6d907a3ceecdcc1 | 153 | py | Python | config/settings/deploy_example_2.py | hyphae/apis-service_center | 0a6f0d349a435a3c739c2ee1ebdcc010c2dd13d1 | [
"Apache-2.0"
] | null | null | null | config/settings/deploy_example_2.py | hyphae/apis-service_center | 0a6f0d349a435a3c739c2ee1ebdcc010c2dd13d1 | [
"Apache-2.0"
] | 3 | 2021-03-20T10:35:08.000Z | 2022-03-21T16:54:05.000Z | config/settings/deploy_example_2.py | hyphae/apis-service_center | 0a6f0d349a435a3c739c2ee1ebdcc010c2dd13d1 | [
"Apache-2.0"
] | null | null | null | """ settings
base.py .
"""
DEBUG = False
ALLOWED_HOSTS = ['*']
STATIC_URL = '/apis-service-center/app/static/'
| 15.3 | 47 | 0.69281 | """切り替え用 settings ファイル
base.py をベースに上書きする.
"""
from .base import *
DEBUG = False
ALLOWED_HOSTS = ['*']
STATIC_URL = '/apis-service-center/app/static/'
| 57 | 0 | 0 | 0 | 0 | 0 | 0 | -2 | 22 |
e3f69d32d00a3bb7eba166c677394c55c97dc3c6 | 6,928 | py | Python | waldur_batch_offering.py | ServerAnt/ansible-waldur-module | 4406a176a9a11f37e37affb6ccc0478f15ad1081 | [
"MIT"
] | null | null | null | waldur_batch_offering.py | ServerAnt/ansible-waldur-module | 4406a176a9a11f37e37affb6ccc0478f15ad1081 | [
"MIT"
] | null | null | null | waldur_batch_offering.py | ServerAnt/ansible-waldur-module | 4406a176a9a11f37e37affb6ccc0478f15ad1081 | [
"MIT"
] | null | null | null | #!/usr/bin/python
ANSIBLE_METADATA = {
'metadata_version': '1.1',
'status': ['preview'],
'supported_by': 'OpenNode',
}
DOCUMENTATION = '''
---
options:
api_url:
description:
- Fully qualified URL to the Waldur.
required: true
access_token:
description:
... | 30.121739 | 83 | 0.587904 | #!/usr/bin/python
from ansible.module_utils.basic import AnsibleModule
from waldur_client import WaldurClientException, waldur_client_from_module
ANSIBLE_METADATA = {
'metadata_version': '1.1',
'status': ['preview'],
'supported_by': 'OpenNode',
}
DOCUMENTATION = '''
---
options:
api_url:
des... | 0 | 0 | 0 | 0 | 0 | 3,073 | 0 | 84 | 115 |
abbe93d8493620ffe594b9b4c940094d973e1987 | 4,282 | py | Python | ConvNet.py | Gregory-Eales/Convolutional-Neural-Network | 50c07208f59526b9a86a162d8b356e9e19dd3310 | [
"MIT"
] | 1 | 2019-05-03T21:48:34.000Z | 2019-05-03T21:48:34.000Z | ConvNet.py | Gregory-Eales/Convolutional-Neural-Network | 50c07208f59526b9a86a162d8b356e9e19dd3310 | [
"MIT"
] | null | null | null | ConvNet.py | Gregory-Eales/Convolutional-Neural-Network | 50c07208f59526b9a86a162d8b356e9e19dd3310 | [
"MIT"
] | null | null | null | # loading bar imports
| 32.439394 | 96 | 0.569827 | import numpy as np
# loading bar imports
import os
from tqdm import tqdm
import time
class ConvNet(object):
def __init__(self, x, y):
# define network topology
# remember to change # of each type of layers
# topology parameter?
self.x_size = x.shape
self.y_size = y.shape
... | 0 | 0 | 0 | 4,173 | 0 | 0 | 0 | -25 | 111 |
aac0f27d69e7306681029adb483e49112422799f | 1,156 | py | Python | make_sqls.py | na0fu3y/bqfunc | a77554c6160b37e01de6dbb6e36dd499acb17bf4 | [
"MIT"
] | 5 | 2020-11-30T13:25:05.000Z | 2022-02-25T12:29:39.000Z | make_sqls.py | na0fu3y/bqfunc | a77554c6160b37e01de6dbb6e36dd499acb17bf4 | [
"MIT"
] | null | null | null | make_sqls.py | na0fu3y/bqfunc | a77554c6160b37e01de6dbb6e36dd499acb17bf4 | [
"MIT"
] | null | null | null |
if __name__ == "__main__":
make_holidays_sql()
| 28.9 | 109 | 0.619377 | import datetime
import urllib.request
from pathlib import Path
def fetch_holidays():
# 内閣府「国民の祝日」
# https://www8.cao.go.jp/chosei/shukujitsu/gaiyou.html
url = "https://www8.cao.go.jp/chosei/shukujitsu/syukujitsu.csv"
with urllib.request.urlopen(url) as res:
body = res.readlines()
# header ... | 159 | 0 | 0 | 0 | 465 | 474 | 0 | -3 | 112 |
dce5baf6c786a397b5a9edbf5f8a799edd0e5d8c | 1,299 | py | Python | login/login.py | nju161250102/NJUSystem_Server | 8b72fde8701d55e62ce8ed4bcb299ec8f0ab32fe | [
"MIT"
] | 1 | 2018-07-31T13:31:52.000Z | 2018-07-31T13:31:52.000Z | login/login.py | nju161250102/NJUSystem_Server | 8b72fde8701d55e62ce8ed4bcb299ec8f0ab32fe | [
"MIT"
] | null | null | null | login/login.py | nju161250102/NJUSystem_Server | 8b72fde8701d55e62ce8ed4bcb299ec8f0ab32fe | [
"MIT"
] | null | null | null | # -*- coding:utf-8 -*-
from flask import Blueprint
loginModule = Blueprint('login', __name__)
# cookie, http://cer.nju.edu.cn/amserver/UI/Login
| 30.928571 | 116 | 0.664357 | # -*- coding:utf-8 -*-
from flask import Blueprint
from flask import request
from flask import Response
import json
import requests
loginModule = Blueprint('login', __name__)
@loginModule.route('/', methods=['POST'])
def login():
req_data = json.loads(request.data)
post_data = {
"IDToken1": req_data[... | 117 | 986 | 0 | 0 | 0 | 0 | 0 | -7 | 133 |
cf41028c39b31a7dc048944cfc4a553f51366dea | 4,434 | py | Python | scrape_mars.py | junki-ogawa/web-scraping-challenge | eeb181cabe48396a8068ef93ac41a62cc261b6a0 | [
"ADSL"
] | null | null | null | scrape_mars.py | junki-ogawa/web-scraping-challenge | eeb181cabe48396a8068ef93ac41a62cc261b6a0 | [
"ADSL"
] | null | null | null | scrape_mars.py | junki-ogawa/web-scraping-challenge | eeb181cabe48396a8068ef93ac41a62cc261b6a0 | [
"ADSL"
] | null | null | null | import pymongo
conn = 'mongodb://localhost:27017'
client = pymongo.MongoClient(conn)
db = client.mars_db
mars = db.mars
scrape() | 37.897436 | 97 | 0.690798 | from splinter import Browser
from bs4 import BeautifulSoup
from webdriver_manager.chrome import ChromeDriverManager
import pymongo
import pandas as pd
import requests
from flask import Flask, render_template
import time
conn = 'mongodb://localhost:27017'
client = pymongo.MongoClient(conn)
db = client.mars... | 0 | 0 | 0 | 0 | 0 | 4,059 | 0 | 51 | 185 |
13806065b202f1f3a84428e15535c568b7658007 | 1,205 | py | Python | tchron/tests/vtk_test.py | dyvasey/riftinversion | 6707a22d3413ee5af6c8aee2660f1024214f1a31 | [
"MIT"
] | null | null | null | tchron/tests/vtk_test.py | dyvasey/riftinversion | 6707a22d3413ee5af6c8aee2660f1024214f1a31 | [
"MIT"
] | null | null | null | tchron/tests/vtk_test.py | dyvasey/riftinversion | 6707a22d3413ee5af6c8aee2660f1024214f1a31 | [
"MIT"
] | null | null | null | """
Test for forward modeling of ASPECT output, using cookbook output
"""
#%% Import and setup files
import matplotlib.pyplot as plt
import pyvista as pv
import vtk_plot as vp
# Read in sample data from continental extension cookbook
meshes = pv.read('../../sample_data/vtk_tchron_test.vtm')
#%% Add H... | 30.125 | 108 | 0.66805 | """
Test for forward modeling of ASPECT output, using cookbook output
"""
#%% Import and setup files
import matplotlib.pyplot as plt
from matplotlib import cm,colors
import numpy as np
import pyvista as pv
import vtk_plot as vp
# Read in sample data from continental extension cookbook
meshes = pv.re... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 48 |
a8b0260995482da49d8adf4cf28f57de040c3349 | 1,759 | py | Python | final_gpt2_test_wikitext103-fp32.py | minhhn2910/conga2022 | 81ad2fb9c0055c332f8f305b2ea409b6577003f4 | [
"MIT"
] | null | null | null | final_gpt2_test_wikitext103-fp32.py | minhhn2910/conga2022 | 81ad2fb9c0055c332f8f305b2ea409b6577003f4 | [
"MIT"
] | null | null | null | final_gpt2_test_wikitext103-fp32.py | minhhn2910/conga2022 | 81ad2fb9c0055c332f8f305b2ea409b6577003f4 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Transformers installation
from transformers import GPT2TokenizerFast
device = 'cuda'
model_id = 'gpt2-large'
tokenizer = GPT2TokenizerFast.from_pretrained(model_id)
from datasets import load_dataset
#test = load_dataset("lambada", split='test')
test = load_dataset('wikitext', 'wikitext-10... | 25.128571 | 84 | 0.670836 | # -*- coding: utf-8 -*-
# Transformers installation
import numpy as np
from transformers import GPT2LMHeadModel, GPT2TokenizerFast
from qtorch.quant import posit_quantize, float_quantize, configurable_table_quantize
device = 'cuda'
model_id = 'gpt2-large'
tokenizer = GPT2TokenizerFast.from_pretrained(model_id)
fro... | 0 | 0 | 0 | 0 | 0 | 1,120 | 0 | 77 | 68 |
810202aa9efdc363b89d45a92de4e299f0f1ac3c | 4,067 | py | Python | modules/iib_api.py | AATools/ib-metrics-pyclient | 2f3bae726201eabcb6c1bec0cfdf5957df538787 | [
"MIT"
] | 1 | 2020-07-28T15:47:44.000Z | 2020-07-28T15:47:44.000Z | modules/iib_api.py | AATools/ib-metrics-pyclient | 2f3bae726201eabcb6c1bec0cfdf5957df538787 | [
"MIT"
] | 5 | 2020-04-27T12:05:03.000Z | 2020-12-11T10:27:08.000Z | modules/iib_api.py | AATools/ib-metrics-pyclient | 2f3bae726201eabcb6c1bec0cfdf5957df538787 | [
"MIT"
] | 2 | 2020-11-11T03:21:13.000Z | 2022-03-08T17:45:12.000Z | # -*- coding: utf-8 -*-
"""Various functions for client api."""
import subprocess
def run_iib_command(**kwargs):
"""Calls predefined commands and returns their result."""
command_mapping = {
'get_brokers_status': 'mqsilist | grep Broker',
'get_integration_nodes_status': 'mqsilist | grep "Integ... | 40.267327 | 110 | 0.595771 | # -*- coding: utf-8 -*-
"""Various functions for client api."""
import subprocess
def run_iib_command(**kwargs):
"""Calls predefined commands and returns their result."""
command_mapping = {
'get_brokers_status': 'mqsilist | grep Broker',
'get_integration_nodes_status': 'mqsilist | grep "Integ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8cee128cf4e93fd417bbdce4ad0272375e780eed | 963 | py | Python | test/command_line/test_stereographic_projections.py | jbeilstenedmands/dials | fb9672b91854f564cbbba6f1cceeefa18d135965 | [
"BSD-3-Clause"
] | null | null | null | test/command_line/test_stereographic_projections.py | jbeilstenedmands/dials | fb9672b91854f564cbbba6f1cceeefa18d135965 | [
"BSD-3-Clause"
] | null | null | null | test/command_line/test_stereographic_projections.py | jbeilstenedmands/dials | fb9672b91854f564cbbba6f1cceeefa18d135965 | [
"BSD-3-Clause"
] | 1 | 2020-02-04T15:39:06.000Z | 2020-02-04T15:39:06.000Z | from __future__ import absolute_import, division, print_function
| 30.09375 | 65 | 0.628245 | from __future__ import absolute_import, division, print_function
import json
import os
import procrunner
def test_stereographic_projection(dials_regression, tmpdir):
path = os.path.join(dials_regression, "experiment_test_data")
result = procrunner.run(
(
"dials.stereographic_projection",... | 0 | 0 | 0 | 0 | 0 | 832 | 0 | -26 | 91 |
bc6827cecb880364d64ad812e4e93528bfdf6b85 | 1,795 | py | Python | setup.py | nyergler/hieroglyph | 843ed9553fe640f9d6061dfb1accf131b467492e | [
"BSD-3-Clause"
] | 115 | 2015-01-08T12:54:49.000Z | 2021-05-20T18:27:14.000Z | setup.py | lpirl/hieroglyph | e41533276594fa9b826d5e9c48164db628fe1541 | [
"BSD-3-Clause"
] | 94 | 2015-01-05T15:34:27.000Z | 2020-10-09T08:13:25.000Z | setup.py | lpirl/hieroglyph | e41533276594fa9b826d5e9c48164db628fe1541 | [
"BSD-3-Clause"
] | 48 | 2015-01-21T06:13:34.000Z | 2020-05-07T22:10:24.000Z | #!/usr/bin/env python
import os
from setuptools import setup, find_packages
import versioneer
here = os.path.abspath(os.path.dirname(__file__))
README = open(os.path.join(here, 'README.rst')).read()
NEWS = open(os.path.join(here, 'NEWS.txt')).read()
install_requires = [
"setuptools",
"Sphinx >= 2.0",
]
se... | 28.951613 | 71 | 0.58663 | #!/usr/bin/env python
import os
from setuptools import setup, find_packages
import versioneer
here = os.path.abspath(os.path.dirname(__file__))
README = open(os.path.join(here, 'README.rst')).read()
NEWS = open(os.path.join(here, 'NEWS.txt')).read()
install_requires = [
"setuptools",
"Sphinx >= 2.0",
]
se... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
aff8057d4e984138d871f670277a645965da11d6 | 33,638 | py | Python | post_optimization_studies/mad_analyses/ma100MeV_L1pt8-2pt4TeV_deta2pt6/Output/Histos/MadAnalysis5job_0/selection_3.py | sheride/axion_pheno | 7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5 | [
"MIT"
] | null | null | null | post_optimization_studies/mad_analyses/ma100MeV_L1pt8-2pt4TeV_deta2pt6/Output/Histos/MadAnalysis5job_0/selection_3.py | sheride/axion_pheno | 7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5 | [
"MIT"
] | null | null | null | post_optimization_studies/mad_analyses/ma100MeV_L1pt8-2pt4TeV_deta2pt6/Output/Histos/MadAnalysis5job_0/selection_3.py | sheride/axion_pheno | 7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5 | [
"MIT"
] | null | null | null |
# Running!
if __name__ == '__main__':
selection_3()
| 154.302752 | 1,799 | 0.768238 | def selection_3():
# Library import
import numpy
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
# Library version
matplotlib_version = matplotlib.__version__
numpy_version = numpy.__version__
# Histo binning
xBinning = numpy.lin... | 0 | 0 | 0 | 0 | 0 | 33,559 | 0 | 0 | 22 |
7e8f902ed35a3c9b042fcc03e4adf01f5802e3f3 | 1,015 | py | Python | pyqt/getting_started/widget_layout.py | CospanDesign/python | 9f911509aae7abd9237c14a4635294c7719c9129 | [
"MIT"
] | 5 | 2015-12-12T20:16:45.000Z | 2020-02-21T19:50:31.000Z | pyqt/getting_started/widget_layout.py | CospanDesign/python | 9f911509aae7abd9237c14a4635294c7719c9129 | [
"MIT"
] | null | null | null | pyqt/getting_started/widget_layout.py | CospanDesign/python | 9f911509aae7abd9237c14a4635294c7719c9129 | [
"MIT"
] | 2 | 2020-06-01T06:27:06.000Z | 2022-03-10T13:21:03.000Z | import sys
if __name__ == '__main__':
app = QApplication(sys.argv)
scene = QGraphicsScene()
#text_edit = scene.addWidget(QLabel("Test"))
#push_button = scene.addWidget(QPushButton("button"))
#layout = QGraphicsGridLayout()
#layout.addItem(text_edit, 0, 0)
#layout.addItem(push_button, 0, 1... | 24.756098 | 69 | 0.649261 | import os
import sys
from PyQt4.Qt import *
from PyQt4.QtCore import *
from PyQt4.QtGui import *
class Example(QtGui.QWidget):
def __init__(self):
super(Example, self).__init__()
self.init_ui()
def init_ui(self):
qbtn = QtGui.QPushButton('Quit', self)
qbtn.clicked.connect(QtCo... | 0 | 0 | 0 | 384 | 0 | 0 | 0 | -2 | 111 |
52fe956ddac463089ef4c1dd09b2e5106fe7a862 | 4,001 | py | Python | playwell-client/playwell/slots.py | jiyulongxu/playwell | 3a5dc4d009c6fd75487e208edf0318db4f9ad21d | [
"Apache-2.0"
] | 4 | 2019-09-01T02:05:09.000Z | 2022-01-04T06:08:14.000Z | playwell-client/playwell/slots.py | jiyulongxu/playwell | 3a5dc4d009c6fd75487e208edf0318db4f9ad21d | [
"Apache-2.0"
] | null | null | null | playwell-client/playwell/slots.py | jiyulongxu/playwell | 3a5dc4d009c6fd75487e208edf0318db4f9ad21d | [
"Apache-2.0"
] | 6 | 2019-11-14T13:55:17.000Z | 2022-02-09T01:42:24.000Z | """Playwell slots API
"""
from playwell import (API, Arg, ArgPos, Methods, load_config)
## Alloc slots ##
ALLOC = API(
Methods.POST,
"/v1/slot/alloc",
(
Arg(
"slots_num",
ArgPos.BODY,
{
"required": True,
"help": "All slots num"
... | 20.623711 | 82 | 0.444639 | """Playwell slots API
"""
from playwell import (
API,
Arg,
ArgPos,
Methods,
load_config
)
## Alloc slots ##
ALLOC = API(
Methods.POST,
"/v1/slot/alloc",
(
Arg(
"slots_num",
ArgPos.BODY,
{
"required": True,
"hel... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0 |
dc69d9f154a8a3dabd67814afb995e90b42c086e | 19,711 | py | Python | tests/autodiff/test_single_state.py | manuelburger/daceml | 501a05b0531bcf208b43816eeaba998feb83feb5 | [
"BSD-3-Clause"
] | null | null | null | tests/autodiff/test_single_state.py | manuelburger/daceml | 501a05b0531bcf208b43816eeaba998feb83feb5 | [
"BSD-3-Clause"
] | null | null | null | tests/autodiff/test_single_state.py | manuelburger/daceml | 501a05b0531bcf208b43816eeaba998feb83feb5 | [
"BSD-3-Clause"
] | null | null | null |
##################################
# Testing utilities
##################################
# Tests
| 26.072751 | 79 | 0.536705 | from functools import reduce
import numpy as np
import pytest
import torch
import torch.nn.functional as F
import dace
from dace import data
import dace.sdfg.nodes as nd
from dace.transformation.interstate import StateFusion
import daceml.onnx as donnx
from daceml.autodiff import AutoDiffException, add_backward_pass... | 0 | 14,739 | 0 | 1,719 | 0 | 2,399 | 0 | 76 | 659 |
9eac8f5e2421103e0d037b229996a1a81517e5c6 | 1,245 | py | Python | 4point5.py | ishah011/CTCI | 41fb337c03aba98edb6a619c878c618a1113f231 | [
"MIT"
] | null | null | null | 4point5.py | ishah011/CTCI | 41fb337c03aba98edb6a619c878c618a1113f231 | [
"MIT"
] | null | null | null | 4point5.py | ishah011/CTCI | 41fb337c03aba98edb6a619c878c618a1113f231 | [
"MIT"
] | null | null | null | #
# 4.5
# Implement a function to check if a binary tree is a binary search tree
#
# create a new tree
# 2
# / \
# 1 3
# \ \
# 0 4
#
left_right = Tree(0)
left = Tree(1, None, left_right)
right_right = Tree(4)
right = Tree(3, None, right_right)
tree = Tree(2, left, rig... | 23.942308 | 84 | 0.632129 | #
# 4.5
# Implement a function to check if a binary tree is a binary search tree
#
class Tree:
def __init__(self, dat, left=None, right=None):
self.left = left
self.right = right
self.data = dat
def isBST(root, answer):
# check if the left and/or right nodes exist and if th... | 0 | 0 | 0 | 122 | 0 | 665 | 0 | 0 | 50 |
f0a10fa0d2ee577c5d57bffcf06a524f47af6306 | 1,378 | py | Python | Leetcode/medium/partition-equal-subset-sum.py | jen-sjen/data-structures-basics-leetcode | addac32974b16e0a37aa60c210ab7820b349b279 | [
"MIT"
] | 6 | 2021-07-29T03:26:20.000Z | 2022-01-28T15:11:45.000Z | Leetcode/medium/partition-equal-subset-sum.py | jen-sjen/data-structures-basics-leetcode | addac32974b16e0a37aa60c210ab7820b349b279 | [
"MIT"
] | 2 | 2021-09-30T09:47:23.000Z | 2022-01-31T03:08:24.000Z | Leetcode/medium/partition-equal-subset-sum.py | jen-sjen/data-structures-basics-leetcode | addac32974b16e0a37aa60c210ab7820b349b279 | [
"MIT"
] | 5 | 2021-08-10T06:41:11.000Z | 2022-01-29T17:50:20.000Z | """
# PARTITION EQUAL SUBSET SUM
Given a non-empty array nums containing only positive integers, find if the array can be partitioned into two subsets such that the sum of elements in both subsets is equal.
Example 1:
Input: nums = [1,5,11,5]
Output: true
Explanation: The array can be partitioned as [1, 5, 5] and [... | 25.054545 | 173 | 0.571118 | """
# PARTITION EQUAL SUBSET SUM
Given a non-empty array nums containing only positive integers, find if the array can be partitioned into two subsets such that the sum of elements in both subsets is equal.
Example 1:
Input: nums = [1,5,11,5]
Output: true
Explanation: The array can be partitioned as [1, 5, 5] and [... | 0 | 0 | 0 | 846 | 0 | 0 | 0 | 0 | 23 |
e448d6c01725ab50de459e6de0fd3807ef933967 | 321 | py | Python | tests/test_utilities/__init__.py | amih90/bacpypes | 27ab4f18aa252ceb6ffdc32d53af2995a2e92647 | [
"MIT"
] | 240 | 2015-07-17T16:27:54.000Z | 2022-03-29T13:53:06.000Z | tests/test_utilities/__init__.py | amih90/bacpypes | 27ab4f18aa252ceb6ffdc32d53af2995a2e92647 | [
"MIT"
] | 400 | 2015-07-23T05:37:52.000Z | 2022-03-29T12:32:30.000Z | tests/test_utilities/__init__.py | amih90/bacpypes | 27ab4f18aa252ceb6ffdc32d53af2995a2e92647 | [
"MIT"
] | 143 | 2015-07-17T18:22:27.000Z | 2022-03-22T01:21:24.000Z | #!/usr/bin/python
"""
Test Utilities
--------------
This module tests the test utilities.
"""
| 17.833333 | 39 | 0.772586 | #!/usr/bin/python
"""
Test Utilities
--------------
This module tests the test utilities.
"""
from . import test_state_machine
from . import test_time_machine
from . import test_extended_tag_list
from . import test_client_state_machine
from . import test_server_state_machine
from . import test_service_access_point... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 135 |
4a41309297f5de0b6f38be80941bd38d0bb9c316 | 7,090 | py | Python | cloudmersive_validate_api_client/models/address_verify_syntax_only_response.py | Cloudmersive/Cloudmersive.APIClient.Python.Validate | 894a3f578c3860db41b3eed179dcc52e02f565a0 | [
"Apache-2.0"
] | 3 | 2018-06-23T21:37:21.000Z | 2020-04-20T23:07:36.000Z | cloudmersive_validate_api_client/models/address_verify_syntax_only_response.py | Cloudmersive/Cloudmersive.APIClient.Python.Validate | 894a3f578c3860db41b3eed179dcc52e02f565a0 | [
"Apache-2.0"
] | 1 | 2019-02-04T17:03:35.000Z | 2019-03-02T20:16:52.000Z | cloudmersive_validate_api_client/models/address_verify_syntax_only_response.py | Cloudmersive/Cloudmersive.APIClient.Python.Validate | 894a3f578c3860db41b3eed179dcc52e02f565a0 | [
"Apache-2.0"
] | 2 | 2019-03-21T15:54:15.000Z | 2020-05-27T17:30:43.000Z | # coding: utf-8
"""
validateapi
The validation APIs help you validate data. Check if an E-mail address is real. Check if a domain is real. Check up on an IP address, and even where it is located. All this and much more is available in the validation API. # noqa: E501
OpenAPI spec version: v1
Ge... | 35.09901 | 240 | 0.642877 | # coding: utf-8
"""
validateapi
The validation APIs help you validate data. Check if an E-mail address is real. Check if a domain is real. Check up on an IP address, and even where it is located. All this and much more is available in the validation API. # noqa: E501
OpenAPI spec version: v1
Ge... | 0 | 3,366 | 0 | 3,261 | 0 | 0 | 0 | -31 | 105 |
10f6ed57eea3cf337b34879e604de30cac9c4f7f | 130 | py | Python | Configuration/ProcessModifiers/python/siPixelDigiMorphing_cff.py | Purva-Chaudhari/cmssw | 32e5cbfe54c4d809d60022586cf200b7c3020bcf | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | Configuration/ProcessModifiers/python/siPixelDigiMorphing_cff.py | Purva-Chaudhari/cmssw | 32e5cbfe54c4d809d60022586cf200b7c3020bcf | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | Configuration/ProcessModifiers/python/siPixelDigiMorphing_cff.py | Purva-Chaudhari/cmssw | 32e5cbfe54c4d809d60022586cf200b7c3020bcf | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | import FWCore.ParameterSet.Config as cms
# This modifier is to run the SiPixelDigiMorphing
siPixelDigiMorphing = cms.Modifier()
| 26 | 49 | 0.815385 | import FWCore.ParameterSet.Config as cms
# This modifier is to run the SiPixelDigiMorphing
siPixelDigiMorphing = cms.Modifier()
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
76d32f5341315082a53f44fb5fb5c02ec0b7bbfd | 3,683 | py | Python | src/Fourteenth Chapter/Exercise2.py | matthijskrul/ThinkPython | 34c1d81f4ef535c32b8b0309b23c7ca37f851606 | [
"MIT"
] | null | null | null | src/Fourteenth Chapter/Exercise2.py | matthijskrul/ThinkPython | 34c1d81f4ef535c32b8b0309b23c7ca37f851606 | [
"MIT"
] | null | null | null | src/Fourteenth Chapter/Exercise2.py | matthijskrul/ThinkPython | 34c1d81f4ef535c32b8b0309b23c7ca37f851606 | [
"MIT"
] | null | null | null | # Adapt the merge algorithm to write each of these functions, as was suggested there:
#
# Return only those items that are present in the first list, but not in the second.
import random
def return_xs_unique(xs, ys):
""" merge sorted lists xs and ys. Return only those items that are present in the first list,
... | 27.901515 | 110 | 0.590551 | # Adapt the merge algorithm to write each of these functions, as was suggested there:
#
# Return only those items that are present in the first list, but not in the second.
import random
def return_xs_unique(xs, ys):
""" merge sorted lists xs and ys. Return only those items that are present in the first list,
... | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
053914ae8ca6bed144522d26cba1f2a52c6014f5 | 2,582 | py | Python | EE475/Ch6P13.py | PhoeniXuzoo/NU-Projects | a217ad46e6876ceffb3dec1d6e52f775674b2e8b | [
"MIT"
] | null | null | null | EE475/Ch6P13.py | PhoeniXuzoo/NU-Projects | a217ad46e6876ceffb3dec1d6e52f775674b2e8b | [
"MIT"
] | null | null | null | EE475/Ch6P13.py | PhoeniXuzoo/NU-Projects | a217ad46e6876ceffb3dec1d6e52f775674b2e8b | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
## softmax: 0.1 600
## perceptron: 0.05 550
if __name__ == "__main__":
csvname = 'breast_cancer_data.csv'
x, y = readData(csvname)
w = np.ones([x.shape[0] + 1, 1])
x = np.insert(x, 0, values=np.ones([1, x.shape[1]]), axis=0)
xSoftList = [... | 29.011236 | 82 | 0.573199 | import numpy as np
import matplotlib.pyplot as plt
## softmax: 0.1 600
## perceptron: 0.05 550
def readData(csvname):
data = np.loadtxt(csvname, delimiter=',')
x = data[:-1, :]
y = data[-1:, :]
return x, y
def softmaxCostFunc(x, y, w):
cost = np.sum(np.log(1 + np.exp(-y*np.transpose(np.dot(np.t... | 0 | 0 | 0 | 0 | 0 | 962 | 0 | 0 | 115 |
7e5329dd16ac953e5b877329a106639b6061afe2 | 790 | py | Python | build/sources/hashing.py | AlexDev-py/CubIC | 7932d2789c0b45ebc9ce631d21f6bed99d3a3a51 | [
"MIT"
] | 2 | 2022-02-05T13:06:28.000Z | 2022-02-09T07:07:11.000Z | build/sources/hashing.py | AlexDev-py/CubIC | 7932d2789c0b45ebc9ce631d21f6bed99d3a3a51 | [
"MIT"
] | null | null | null | build/sources/hashing.py | AlexDev-py/CubIC | 7932d2789c0b45ebc9ce631d21f6bed99d3a3a51 | [
"MIT"
] | 2 | 2022-01-24T13:42:45.000Z | 2022-02-08T09:18:58.000Z | from __future__ import annotations
import os
if __name__ == "__main__":
data_hash = generate_media_hash()[1]
os.system(f"heroku config:set DATA_HASH={data_hash} -a dungeon-of-masters")
| 29.259259 | 80 | 0.665823 | from __future__ import annotations
import json
import os
from DOM.hashing import get_hash
def generate_media_hash() -> tuple[dict, str]:
target_file_path = "resources/files.json"
data = {}
for root, dirs, files in os.walk("resources"):
for file_name in files:
file_path = os.path.join... | 0 | 0 | 0 | 0 | 0 | 524 | 0 | 1 | 69 |
e3a93ecb15d1e58e44a931302a4eb3b5be2d2826 | 7,707 | py | Python | baseline.py | JuliousHurtado/Meta-Iteration | 8edf09510c9c8c300c8ca42472e7e04bfd790938 | [
"MIT"
] | null | null | null | baseline.py | JuliousHurtado/Meta-Iteration | 8edf09510c9c8c300c8ca42472e7e04bfd790938 | [
"MIT"
] | 1 | 2021-09-08T03:25:12.000Z | 2021-09-08T03:25:12.000Z | baseline.py | JuliousHurtado/Meta-Iteration | 8edf09510c9c8c300c8ca42472e7e04bfd790938 | [
"MIT"
] | null | null | null | import torch
import random
import numpy as np
import torchvision.models as models
from utils import getArguments
if __name__ == '__main__':
parser = getArguments()
args = parser.parse_args()
use_cuda = torch.cuda.is_available()
random.seed(args.seed)
np.random.seed(args.seed)
torch.manua... | 37.052885 | 169 | 0.638381 | import torch
import random
import time
import copy
import numpy as np
from torch import nn
from torch import optim
import torchvision
import torchvision.models as models
from model.models import TaskNormalization
from utils import getArguments, getModel
from dataset.multidataset import DatasetGen as multi_cls
from d... | 0 | 0 | 0 | 1,283 | 0 | 5,255 | 0 | 216 | 337 |
f7ca7c6028d40591dc9877fdad45f3a0e5b3bc15 | 11,922 | py | Python | test.py | MartinNiederl/anki_kanji_auto_fill | e51239dddc5b383d34d9d580294edc2d4dc98caf | [
"MIT"
] | null | null | null | test.py | MartinNiederl/anki_kanji_auto_fill | e51239dddc5b383d34d9d580294edc2d4dc98caf | [
"MIT"
] | null | null | null | test.py | MartinNiederl/anki_kanji_auto_fill | e51239dddc5b383d34d9d580294edc2d4dc98caf | [
"MIT"
] | null | null | null | # coding=utf8
from typing import Dict, Set
import unicodedata
print(ord('alibaba'))
ranges = [
# (ord(u"\u3300"), ord(u"\u33ff")), # compatibility ideographs
# (ord(u"\ufe30"), ord(u"\ufe4f")), # compatibility ideographs
# (ord(u"\uf900"), ord(u"\ufaff")), # compatibility ideographs
# (ord(u"\U000... | 131.010989 | 1,011 | 0.541184 | # coding=utf8
import json
from typing import Dict, List, Set
import unicodedata
print(ord('alibaba'))
ranges = [
# (ord(u"\u3300"), ord(u"\u33ff")), # compatibility ideographs
# (ord(u"\ufe30"), ord(u"\ufe4f")), # compatibility ideographs
# (ord(u"\uf900"), ord(u"\ufaff")), # compatibility ideographs
... | 18,848 | 0 | 0 | 0 | 0 | 62 | 0 | -4 | 45 |
511736149de1ed981732f96324cc61206ed6f06e | 9,144 | py | Python | peerdid/core/peer_did_helper.py | andkononykhin/peer-did-python | bc56e7cb685cac15697a4b0c0d5ca0e12bdd1651 | [
"Apache-2.0"
] | null | null | null | peerdid/core/peer_did_helper.py | andkononykhin/peer-did-python | bc56e7cb685cac15697a4b0c0d5ca0e12bdd1651 | [
"Apache-2.0"
] | null | null | null | peerdid/core/peer_did_helper.py | andkononykhin/peer-did-python | bc56e7cb685cac15697a4b0c0d5ca0e12bdd1651 | [
"Apache-2.0"
] | null | null | null | import hashlib
import json
import re
from typing import Union, List, Optional
import base58
import varint
from peerdid.core.did_doc import (VerificationMaterial, PublicKeyField, JWK_OKP)
from peerdid.core.utils import _urlsafe_b64encode, _urlsafe_b64decode
from peerdid.types import (JSON, PublicKeyAgreement, PublicKe... | 34.768061 | 110 | 0.714895 | import hashlib
import json
import re
from enum import Enum
from typing import Union, List, Optional
import base58
import varint
from peerdid.core.did_doc import (
VerificationMaterial,
PublicKeyField,
VerificationMaterialTypeAgreement,
VerificationMaterialTypeAuthentication,
JWK_OKP,
)
from peerdi... | 0 | 0 | 0 | 97 | 0 | 1,857 | 0 | 133 | 183 |
0d92b5e007c5d6d0f17cf60bdf5989db9053fe6d | 424 | py | Python | examples/pix_create_immediate_charge.py | gerencianet/gn-api-sdk-python | 09664fdcc7b9d99db6265c63b5c0efdfa413acd9 | [
"MIT"
] | 12 | 2016-10-14T15:56:59.000Z | 2021-10-30T01:56:51.000Z | examples/pix_create_immediate_charge.py | gerencianet/gn-api-sdk-python | 09664fdcc7b9d99db6265c63b5c0efdfa413acd9 | [
"MIT"
] | 7 | 2018-12-27T16:30:20.000Z | 2021-06-30T12:26:04.000Z | examples/pix_create_immediate_charge.py | gerencianet/gn-api-sdk-python | 09664fdcc7b9d99db6265c63b5c0efdfa413acd9 | [
"MIT"
] | 13 | 2016-07-13T14:28:47.000Z | 2022-03-16T14:17:40.000Z | from gerencianet import Gerencianet
from credentials import CREDENTIALS
gn = Gerencianet(CREDENTIALS)
body = {
'calendario': {
'expiracao': 3600
},
'devedor': {
'cpf': '',
'nome': ''
},
'valor': {
'original': ''
},
'chave': '',
'solicitacaoPagador': 'Cob... | 18.434783 | 60 | 0.591981 | from gerencianet import Gerencianet
from credentials import CREDENTIALS
gn = Gerencianet(CREDENTIALS)
body = {
'calendario': {
'expiracao': 3600
},
'devedor': {
'cpf': '',
'nome': ''
},
'valor': {
'original': ''
},
'chave': '',
'solicitacaoPagador': 'Cob... | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
399518ebae7320b7a8368861e51010b913d3a1aa | 2,239 | py | Python | SpectrometersV2/example_code.py | ColdMatter/PhotonBEC | c6bcf9bdefd267c8adde0d299cf5920b010c5022 | [
"MIT"
] | null | null | null | SpectrometersV2/example_code.py | ColdMatter/PhotonBEC | c6bcf9bdefd267c8adde0d299cf5920b010c5022 | [
"MIT"
] | null | null | null | SpectrometersV2/example_code.py | ColdMatter/PhotonBEC | c6bcf9bdefd267c8adde0d299cf5920b010c5022 | [
"MIT"
] | null | null | null | '''
Written by: Joao Rodrigues
Last Update: October 16th 2020
'''
import sys
from socket import gethostname
if gethostname().lower() == "ph-photonbec5":
sys.path.append("D:/Control/PythonPackages/")
import pbec_ipc
import matplotlib.pyplot as plt
from single_spec_IPC_module import set_spectrometer_mode, set_sp... | 38.603448 | 186 | 0.820456 | '''
Written by: Joao Rodrigues
Last Update: October 16th 2020
'''
import sys
from socket import gethostname
if gethostname().lower() == "ph-photonbec5":
sys.path.append("D:/Control/PythonPackages/")
import pbec_ipc
from time import sleep
from time import time
import matplotlib.pyplot as plt
from single_spec_IP... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 44 |
8c62dfc48c7e80068f446336243ac76e72e649be | 2,293 | py | Python | factory-ai-vision/EdgeSolution/modules/WebModule/backend/vision_on_edge/cameras/apps.py | julialieberman/azure-intelligent-edge-patterns | 1e04748d640730301edd2c6fb51a02f9b6d2ff41 | [
"MIT"
] | 1 | 2020-08-17T16:50:09.000Z | 2020-08-17T16:50:09.000Z | factory-ai-vision/EdgeSolution/modules/WebModule/backend/vision_on_edge/cameras/apps.py | julialieberman/azure-intelligent-edge-patterns | 1e04748d640730301edd2c6fb51a02f9b6d2ff41 | [
"MIT"
] | null | null | null | factory-ai-vision/EdgeSolution/modules/WebModule/backend/vision_on_edge/cameras/apps.py | julialieberman/azure-intelligent-edge-patterns | 1e04748d640730301edd2c6fb51a02f9b6d2ff41 | [
"MIT"
] | null | null | null | """
Cameras App
"""
import logging
logger = logging.getLogger(__name__)
DEFAULT_SETTING_NAME = 'DEFAULT_SETTING'
| 29.779221 | 71 | 0.411688 | """
Cameras App
"""
import logging
import sys
from django.apps import AppConfig
logger = logging.getLogger(__name__)
DEFAULT_SETTING_NAME = 'DEFAULT_SETTING'
class CamerasConfig(AppConfig):
"""
Cameras App Config
"""
name = 'vision_on_edge.cameras'
def ready(self):
"""
Cameras ... | 0 | 0 | 0 | 2,108 | 0 | 0 | 0 | 1 | 68 |
72c67ce90edfb7400c6369cd615fde79fc8633f1 | 14,247 | py | Python | collaborative_system/temperature_scaling_vit.py | drunkcoding/efficient-nlp | 9509e0ef08016506280a7cfc600ea8e3778dea2d | [
"Apache-2.0"
] | null | null | null | collaborative_system/temperature_scaling_vit.py | drunkcoding/efficient-nlp | 9509e0ef08016506280a7cfc600ea8e3778dea2d | [
"Apache-2.0"
] | null | null | null | collaborative_system/temperature_scaling_vit.py | drunkcoding/efficient-nlp | 9509e0ef08016506280a7cfc600ea8e3778dea2d | [
"Apache-2.0"
] | null | null | null | import torch
import logging
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from torchvision import datasets, transforms
import torchvision.models as cv_models
import os
import sys
sys.path.append(os.path.join(os.path.dirname(__file__), "../"))
from ecosys.models.temperature_scaling import Mo... | 37.492105 | 209 | 0.639082 | import torch
import logging
import numpy as np
from outliers import smirnov_grubbs as grubbs
import seaborn as sns
import matplotlib
import matplotlib.pyplot as plt
from torch.utils.data.sampler import SubsetRandomSampler
from torchvision import datasets, transforms
import torchvision.models as cv_models
import os
imp... | 0 | 0 | 0 | 0 | 0 | 2,124 | 0 | 335 | 268 |
bfc3bd37a4aa95cb8512234de7cfe550577160db | 1,136 | py | Python | setup.py | shufps/pdfforms | 9e6eb9c63ab5c743580805942747a5445e79e9c7 | [
"MIT"
] | 1 | 2020-07-03T19:26:40.000Z | 2020-07-03T19:26:40.000Z | setup.py | shufps/pdfforms | 9e6eb9c63ab5c743580805942747a5445e79e9c7 | [
"MIT"
] | null | null | null | setup.py | shufps/pdfforms | 9e6eb9c63ab5c743580805942747a5445e79e9c7 | [
"MIT"
] | null | null | null | from os.path import dirname
from setuptools import setup
package_name = "pdfforms"
package_version = "1.2.1"
base_dir = dirname(__file__)
setup(
name = package_name,
version = package_version,
description = "Populate fillable pdf forms from csv data file",
long_description = read("README.rst") + '\n\n... | 32.457143 | 76 | 0.636444 | from os.path import join, dirname
from setuptools import setup
package_name = "pdfforms"
package_version = "1.2.1"
base_dir = dirname(__file__)
def read(filename):
f = open(join(base_dir, filename))
return f.read()
setup(
name = package_name,
version = package_version,
description = "Populate fil... | 0 | 0 | 0 | 0 | 0 | 57 | 0 | 6 | 23 |
16e99ac5970e25e2230ef1f24565fa74e8d93890 | 31,772 | py | Python | libs/itsdangerous.py | bbondy/brianbondy.gae | 5c189e5d8f1ee0fdc77ab48c21f3da2c9e3f246c | [
"MIT"
] | null | null | null | libs/itsdangerous.py | bbondy/brianbondy.gae | 5c189e5d8f1ee0fdc77ab48c21f3da2c9e3f246c | [
"MIT"
] | null | null | null | libs/itsdangerous.py | bbondy/brianbondy.gae | 5c189e5d8f1ee0fdc77ab48c21f3da2c9e3f246c | [
"MIT"
] | 1 | 2020-10-01T16:36:12.000Z | 2020-10-01T16:36:12.000Z | # -*- coding: utf-8 -*-
"""
itsdangerous
~~~~~~~~~~~~
A module that implements various functions to deal with untrusted
sources. Mainly useful for web applications.
:copyright: (c) 2011 by Armin Ronacher and the Django Software Foundation.
:license: BSD, see LICENSE for more details.
"""
imp... | 36.51954 | 81 | 0.647237 | # -*- coding: utf-8 -*-
"""
itsdangerous
~~~~~~~~~~~~
A module that implements various functions to deal with untrusted
sources. Mainly useful for web applications.
:copyright: (c) 2011 by Armin Ronacher and the Django Software Foundation.
:license: BSD, see LICENSE for more details.
"""
imp... | 0 | 0 | 0 | 28,349 | 0 | 331 | 0 | -22 | 646 |
9a937dba4abe57172578dec1a722bd3633ce7c2d | 3,583 | py | Python | events.py | IanHarvey/bluepy.device | be3f5802b7229ce50876bd4bb68b958586731d1b | [
"MIT"
] | 10 | 2017-09-29T00:18:21.000Z | 2022-01-27T09:03:29.000Z | events.py | IanHarvey/bluepy.device | be3f5802b7229ce50876bd4bb68b958586731d1b | [
"MIT"
] | 2 | 2017-09-11T11:07:35.000Z | 2019-04-19T11:02:00.000Z | events.py | IanHarvey/bluepy.device | be3f5802b7229ce50876bd4bb68b958586731d1b | [
"MIT"
] | 5 | 2017-10-10T18:01:02.000Z | 2021-05-24T07:36:52.000Z |
# HCI Events
# Spec V4.0, Vol 2, sec 7.7
E_DISCONN_COMPLETE = 0x05
E_ENCRYPT_CHANGE = 0x08
E_CMD_RESPONSE = 0x0E
E_CMD_STATUS = 0x0F
E_LE_META_EVENT = 0x3E
# LE Meta-event subcodes
# Vol 2, 7.7.65
E_LE_CONN_COMPLETE = 0x01
E_LE_ADVERTISING_REPORT = 0x02
E_LE_CONN_UPDATE_COMPLETE = 0x03
DEFAULT_EVENT_MASK = eventMa... | 33.801887 | 117 | 0.6235 | import struct
import binascii
import gap
# HCI Events
# Spec V4.0, Vol 2, sec 7.7
E_DISCONN_COMPLETE = 0x05
E_ENCRYPT_CHANGE = 0x08
E_CMD_RESPONSE = 0x0E
E_CMD_STATUS = 0x0F
E_LE_META_EVENT = 0x3E
# LE Meta-event subcodes
# Vol 2, 7.7.65
E_LE_CONN_COMPLETE = 0x01
E_LE_ADVERTISING_REPORT = 0x02
E_LE_CONN_UPDATE_COMP... | 0 | 0 | 0 | 2,885 | 0 | 93 | 0 | -25 | 135 |
72645c0f047f889967cb8ede55344c574ef90c92 | 668 | py | Python | harvest-images.py | BinaryDragonStudios/ArenaGame | 0162568b64599a9fccab64e3cd08d8295885b32c | [
"MIT"
] | null | null | null | harvest-images.py | BinaryDragonStudios/ArenaGame | 0162568b64599a9fccab64e3cd08d8295885b32c | [
"MIT"
] | null | null | null | harvest-images.py | BinaryDragonStudios/ArenaGame | 0162568b64599a9fccab64e3cd08d8295885b32c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# Use the built in json and sqlite library
# Boilerplate python
if __name__ == '__main__':
main()
| 27.833333 | 98 | 0.652695 | #!/usr/bin/env python
# Use the built in json and sqlite library
import sqlite3
def card_image_url(card_game_id):
return "http://wow.zamimg.com/images/hearthstone/cards/enus/original/" + card_game_id + ".png"
def main():
sql = "SELECT card_game_id, card_name_en FROM cards ORDER BY card_name_en"
db = sql... | 0 | 0 | 0 | 0 | 0 | 481 | 0 | -7 | 68 |
47d5d5adce279fd60bc35ef87afa6132fa4ea625 | 6,124 | py | Python | binmom.py | isseikz/StarTracker | 01c1dfcf8c9a6886acfa18c038acc723f56cc94d | [
"MIT"
] | null | null | null | binmom.py | isseikz/StarTracker | 01c1dfcf8c9a6886acfa18c038acc723f56cc94d | [
"MIT"
] | null | null | null | binmom.py | isseikz/StarTracker | 01c1dfcf8c9a6886acfa18c038acc723f56cc94d | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""(binalize)."""
import numpy as np
import cv2
from matplotlib import pyplot as plt
def binalize(img):
""".
1.
2. [0, 255]
#
+ img: cv2
#
+ img_binalized: 2
https://www.blog.umentu.work/python-opencv3%E3%81%A7%E7%94%BB%E5%83%8F%... | 24.594378 | 183 | 0.566786 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""画像の２値化(binalize)とモーメント中心を見つけるモジュール."""
import numpy as np
import cv2
from matplotlib import pyplot as plt
def binalize(img):
"""画像の２値化を行う.
1. 画像をグレースケールに変換
2. しきい値[0, 255]を基準に２値化する
# 入力：
+ img: cv2 モジュールで読み込んだ画像オブジェクト
# 出力：
+ img_binalized:... | 1,470 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
50b35723f20fea2aeacd0fff6f501a16b7939d1c | 237 | py | Python | tests/parser/bug.70.bk.test.py | veltri/DLV2 | 944aaef803aa75e7ec51d7e0c2b0d964687fdd0e | [
"Apache-2.0"
] | null | null | null | tests/parser/bug.70.bk.test.py | veltri/DLV2 | 944aaef803aa75e7ec51d7e0c2b0d964687fdd0e | [
"Apache-2.0"
] | null | null | null | tests/parser/bug.70.bk.test.py | veltri/DLV2 | 944aaef803aa75e7ec51d7e0c2b0d964687fdd0e | [
"Apache-2.0"
] | null | null | null | input = """
% Locations:
loc(dropOff).
loc(distCenter).
loc(truck).
%loc(dest).
% Packages:
pkg(pidVar).
"""
output = """
% Locations:
loc(dropOff).
loc(distCenter).
loc(truck).
%loc(dest).
% Packages:
pkg(pidVar).
"""
| 11.285714 | 17 | 0.586498 | input = """
% Locations:
loc(dropOff).
loc(distCenter).
loc(truck).
%loc(dest).
% Packages:
pkg(pidVar).
"""
output = """
% Locations:
loc(dropOff).
loc(distCenter).
loc(truck).
%loc(dest).
% Packages:
pkg(pidVar).
"""
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
dd0e5f1f8170f9a8b0f7092a2ceddf95c3c34a1c | 2,436 | py | Python | analyze/generate_periscope_chart_embed_code.py | danieldiamond/gitlab-analytics | f99e02c95c3a964b01cb14617a43cd5f64ecd88d | [
"MIT"
] | 3 | 2021-07-22T06:44:31.000Z | 2022-01-29T05:35:12.000Z | analyze/generate_periscope_chart_embed_code.py | danieldiamond/gitlab-analytics | f99e02c95c3a964b01cb14617a43cd5f64ecd88d | [
"MIT"
] | null | null | null | analyze/generate_periscope_chart_embed_code.py | danieldiamond/gitlab-analytics | f99e02c95c3a964b01cb14617a43cd5f64ecd88d | [
"MIT"
] | null | null | null | from os import environ as env
from urllib import parse as parse
import logging
API_KEY = env.get("PERISCOPE_API_KEY").encode("UTF-8")
input_csv = "chart_slide_deck.csv"
output_csv = "chart_links.csv"
if __name__ == "__main__":
logging.basicConfig(level=20)
chart_dict_list = csv_to_chart_list(input_csv)
... | 29.707317 | 80 | 0.65312 | from os import environ as env
from urllib import parse as parse
import ast
import base64
import csv
import hashlib
import hmac
import json
import logging
API_KEY = env.get("PERISCOPE_API_KEY").encode("UTF-8")
input_csv = "chart_slide_deck.csv"
output_csv = "chart_links.csv"
def csv_to_chart_list(input_csv):
logg... | 0 | 0 | 0 | 0 | 0 | 1,897 | 0 | -57 | 178 |
1bdc339c76d8e57fa714efafdde1b7083a06d571 | 763 | py | Python | Algos and notebooks/testMapWay.py | HehexOne/MapWay | 714889ca97d4199a4cb9f66403fac5c45d791297 | [
"MIT"
] | 1 | 2021-10-18T15:46:27.000Z | 2021-10-18T15:46:27.000Z | Algos and notebooks/testMapWay.py | HehexOne/MapWay | 714889ca97d4199a4cb9f66403fac5c45d791297 | [
"MIT"
] | null | null | null | Algos and notebooks/testMapWay.py | HehexOne/MapWay | 714889ca97d4199a4cb9f66403fac5c45d791297 | [
"MIT"
] | null | null | null |
start = Place(name="Start", position=Position(latitude=20, longtitude=2))
'''
,
'''
# p_in_1 = Place(name="p_in_1", position=Position(latitude=10, longtitude=50))
# p_in_2 = Place(name="p_in_2", position=Position(latitude=18, longtitude=70))
# p_out_1 = Place(name="p_out_1", position=Position(latitude=21... | 29.346154 | 82 | 0.722149 | from MapWay import *
start = Place(name="Start", position=Position(latitude=20, longtitude=2))
'''
Уже точки не нужны, они в базе данных
'''
# p_in_1 = Place(name="p_in_1", position=Position(latitude=10, longtitude=50))
# p_in_2 = Place(name="p_in_2", position=Position(latitude=18, longtitude=70))
# p_out_1 = P... | 58 | 0 | 0 | 0 | 0 | 0 | 0 | -1 | 22 |
8826ed8824a2aa17e3bb3cde009518af14b96186 | 3,701 | py | Python | businessdate/businessrange.py | pbrisk/businessdate | 36eb9df687f7f3a30d659f356f16a05d5f41b309 | [
"Apache-2.0"
] | 2 | 2019-07-30T13:07:00.000Z | 2021-05-26T02:19:09.000Z | businessdate/businessrange.py | sonntagsgesicht/businessdate | 36eb9df687f7f3a30d659f356f16a05d5f41b309 | [
"Apache-2.0"
] | 2 | 2019-05-14T16:06:54.000Z | 2019-07-27T23:14:29.000Z | businessdate/businessrange.py | pbrisk/businessdate | 36eb9df687f7f3a30d659f356f16a05d5f41b309 | [
"Apache-2.0"
] | 7 | 2017-04-10T13:19:47.000Z | 2019-07-06T03:48:49.000Z | # -*- coding: utf-8 -*-
# businessdate
# ------------
# Python library for generating business dates for fast date operations
# and rich functionality.
#
# Author: sonntagsgesicht, based on a fork of Deutsche Postbank [pbrisk]
# Version: 0.5, copyright Wednesday, 18 September 2019
# Website: https://github.com/son... | 35.586538 | 101 | 0.627398 | # -*- coding: utf-8 -*-
# businessdate
# ------------
# Python library for generating business dates for fast date operations
# and rich functionality.
#
# Author: sonntagsgesicht, based on a fork of Deutsche Postbank [pbrisk]
# Version: 0.5, copyright Wednesday, 18 September 2019
# Website: https://github.com/son... | 0 | 1,238 | 0 | 1,959 | 0 | 0 | 0 | 38 | 68 |
670546ec050434d9276a8108386da84f83c5dc42 | 180 | py | Python | codigo_programa/database.py | matheusparrela/Fisica_game | 7c6e1607c4786f1fa76f6be9abe51c0279754926 | [
"MIT"
] | 1 | 2022-02-06T18:33:50.000Z | 2022-02-06T18:33:50.000Z | codigo_programa/database.py | matheusparrela/Fisica_game | 7c6e1607c4786f1fa76f6be9abe51c0279754926 | [
"MIT"
] | null | null | null | codigo_programa/database.py | matheusparrela/Fisica_game | 7c6e1607c4786f1fa76f6be9abe51c0279754926 | [
"MIT"
] | null | null | null | import pyodbc
dados_conexao = (
"Driver={SQL Server};"
"Server=omicron;"
"Database=perguntas;"
)
conexao = pyodbc.connect(dados_conexao)
print('Conexo bem sucedida!') | 20 | 39 | 0.7 | import pyodbc
dados_conexao = (
"Driver={SQL Server};"
"Server=omicron;"
"Database=perguntas;"
)
conexao = pyodbc.connect(dados_conexao)
print('Conexão bem sucedida!') | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ed10a413930f081fc45944e232c2b7b86a1eac17 | 828 | py | Python | visualization/model_report.py | mahetoodang/abm | b27c0616aed288902d2f28444c79cf0720513249 | [
"MIT"
] | null | null | null | visualization/model_report.py | mahetoodang/abm | b27c0616aed288902d2f28444c79cf0720513249 | [
"MIT"
] | null | null | null | visualization/model_report.py | mahetoodang/abm | b27c0616aed288902d2f28444c79cf0720513249 | [
"MIT"
] | null | null | null |
'''Automated generation of HTML data report to
be opened inside webbrowser'''
if __name__ == '__main__':
create_model_report(True)
| 30.666667 | 61 | 0.695652 | import pandas as pd
import numpy as np
import webbrowser
import os
import glob
from pandas_profiling import ProfileReport
'''Automated generation of HTML data report to
be opened inside webbrowser'''
def create_model_report(html_report=True):
if html_report == True:
file_list = glob.glob('data/stats/*')
... | 0 | 0 | 0 | 0 | 0 | 546 | 0 | -10 | 155 |
135ec19a63db6b926dd484003d11d8f4d8f345e4 | 492 | py | Python | FizzBuzz/tests/test.py | n0n0a/python-dev-tutorial | 565e2eaaaf4b8777295b83f8d8de425fe9f22bca | [
"MIT"
] | null | null | null | FizzBuzz/tests/test.py | n0n0a/python-dev-tutorial | 565e2eaaaf4b8777295b83f8d8de425fe9f22bca | [
"MIT"
] | null | null | null | FizzBuzz/tests/test.py | n0n0a/python-dev-tutorial | 565e2eaaaf4b8777295b83f8d8de425fe9f22bca | [
"MIT"
] | null | null | null |
fizzbuzz_data = [(3, "Fizz"), (5, "Buzz"), (15, "FizzBuzz"), (2, "2")]
fizzbuzz_7_11_data = [(7,"Fizz"),(11,"Buzz"),(77,"FizzBuzz"), (2, "2")]
| 32.8 | 71 | 0.697154 | from unittest import TestCase
import pytest
from FizzBuzz.fizzbuzz import fizzbuzz
fizzbuzz_data = [(3, "Fizz"), (5, "Buzz"), (15, "FizzBuzz"), (2, "2")]
fizzbuzz_7_11_data = [(7,"Fizz"),(11,"Buzz"),(77,"FizzBuzz"), (2, "2")]
@pytest.mark.parametrize(('n','expected'),fizzbuzz_data)
def test_fizzbuzz(n,expected):
... | 0 | 219 | 0 | 0 | 0 | 0 | 0 | 17 | 112 |
dbd24433096ce21f12bbf4d0bf81b1a43cc47d60 | 1,172 | py | Python | applied_python/applied_python/lib/python2.7/site-packages/ncclient/devices/iosxe.py | mith1979/ansible_automation | 013dfa67c6d91720b787fadb21de574b6e023a26 | [
"Apache-2.0"
] | null | null | null | applied_python/applied_python/lib/python2.7/site-packages/ncclient/devices/iosxe.py | mith1979/ansible_automation | 013dfa67c6d91720b787fadb21de574b6e023a26 | [
"Apache-2.0"
] | null | null | null | applied_python/applied_python/lib/python2.7/site-packages/ncclient/devices/iosxe.py | mith1979/ansible_automation | 013dfa67c6d91720b787fadb21de574b6e023a26 | [
"Apache-2.0"
] | null | null | null | """
Handler for Cisco IOS-XE device specific information.
Note that for proper import, the classname has to be:
"<Devicename>DeviceHandler"
...where <Devicename> is something like "Default", "Nexus", etc.
All device-specific handlers derive from the DefaultDeviceHandler, which implements the
generic information... | 27.904762 | 87 | 0.715017 | """
Handler for Cisco IOS-XE device specific information.
Note that for proper import, the classname has to be:
"<Devicename>DeviceHandler"
...where <Devicename> is something like "Default", "Nexus", etc.
All device-specific handlers derive from the DefaultDeviceHandler, which implements the
generic information... | 0 | 0 | 0 | 586 | 0 | 124 | 0 | 20 | 69 |
0b75ad5a395e43a103ee317b5d794d2aa4f68b3a | 525 | py | Python | automation.py | FathiMahdi/TNB_Social_Distance | ab5c13652e57d827180b92e03983cda39def51e8 | [
"MIT"
] | null | null | null | automation.py | FathiMahdi/TNB_Social_Distance | ab5c13652e57d827180b92e03983cda39def51e8 | [
"MIT"
] | null | null | null | automation.py | FathiMahdi/TNB_Social_Distance | ab5c13652e57d827180b92e03983cda39def51e8 | [
"MIT"
] | null | null | null | import os
import time
for i in range(0,10000000000):
cctvDetect(i)# run cctv
time.sleep(2)
os.system('sudo python3 darknet_images.py --input /mnt/k/monitoring/204online_{}.png --batch_size 1 --weights /home/Social_Distance/darknet/backup/yolo-obj_last.weights --config_file /home/Social_Distance/darknet/cf... | 40.384615 | 314 | 0.731429 | import os
import time
from cctv import *
for i in range(0,10000000000):
cctvDetect(i)# run cctv
time.sleep(2)
os.system('sudo python3 darknet_images.py --input /mnt/k/monitoring/204online_{}.png --batch_size 1 --weights /home/Social_Distance/darknet/backup/yolo-obj_last.weights --config_file /home/Social_... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -3 | 22 |
5b106466dafaf888a5489b6369524357186de3c6 | 926 | py | Python | accounts/migrations/0021_auto_20210902_2010.py | simplymarco/Sistema-de-Controle-de-Processos-Titulados | f4e3bc7260611b848096d5fbfb1f72be9d440f1f | [
"MIT"
] | null | null | null | accounts/migrations/0021_auto_20210902_2010.py | simplymarco/Sistema-de-Controle-de-Processos-Titulados | f4e3bc7260611b848096d5fbfb1f72be9d440f1f | [
"MIT"
] | null | null | null | accounts/migrations/0021_auto_20210902_2010.py | simplymarco/Sistema-de-Controle-de-Processos-Titulados | f4e3bc7260611b848096d5fbfb1f72be9d440f1f | [
"MIT"
] | null | null | null | # Generated by Django 3.0 on 2021-09-02 23:10
| 30.866667 | 114 | 0.564795 | # Generated by Django 3.0 on 2021-09-02 23:10
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('accounts', '0020_auto_20210902_1708'),
]
operations = [
migrations.CreateModel(
name='Feedback',
fields=[
... | 0 | 0 | 0 | 814 | 0 | 0 | 0 | 19 | 46 |
f244d9daab59011f48024a89527c2f4f9c8108e1 | 4,836 | py | Python | flaskr/fetch_data.py | Amoghrd/StockPrediction | e33a2ec2209f24089b2b92739b82ec05414aa853 | [
"MIT"
] | 1 | 2020-10-27T03:31:29.000Z | 2020-10-27T03:31:29.000Z | flaskr/fetch_data.py | Amoghrd/StockPrediction | e33a2ec2209f24089b2b92739b82ec05414aa853 | [
"MIT"
] | 32 | 2020-10-06T01:34:09.000Z | 2020-11-17T01:31:30.000Z | flaskr/fetch_data.py | Amoghrd/StockPrediction | e33a2ec2209f24089b2b92739b82ec05414aa853 | [
"MIT"
] | 4 | 2020-10-19T20:10:49.000Z | 2020-12-12T15:31:44.000Z |
# Calculate slopes
| 33.351724 | 88 | 0.552316 | import yfinance as yf
import matplotlib.pyplot as plt
import datetime
import math
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn import preprocessing
from sklearn.linear_model import LinearRegression
import csv
def get_stock(ticker_name, days_number):
tick = yf.Ti... | 0 | 0 | 0 | 0 | 0 | 4,450 | 0 | 51 | 305 |
97a137d77b023df62ea751088239bb68dcf34480 | 1,282 | py | Python | api/controllers/trace_controller.py | bailobah/relevanc | 1bb9bf895ca1b7bdc0553267c377f53472990d9b | [
"MIT"
] | null | null | null | api/controllers/trace_controller.py | bailobah/relevanc | 1bb9bf895ca1b7bdc0553267c377f53472990d9b | [
"MIT"
] | null | null | null | api/controllers/trace_controller.py | bailobah/relevanc | 1bb9bf895ca1b7bdc0553267c377f53472990d9b | [
"MIT"
] | null | null | null |
from logger import Logger
from api.restplus import api
log = Logger.log
ns = api.namespace('trace/kpis', description='kpis des datasets')
| 23.309091 | 118 | 0.730109 | import datetime
from flask import request
from flask_restplus import Resource
from flask_restplus import abort
from sqlalchemy.orm import load_only
from logger import Logger
from api.serilizers import dataset_response_succes, get_trace
from api.restplus import api
from database.models import TbTrace
log = Logger.log
... | 0 | 846 | 0 | 0 | 0 | 0 | 0 | 92 | 200 |
3934659f21a9d149a3c887921ac80207b3058b4e | 3,058 | py | Python | android-runner/AndroidRunner/Plugins/perfume_js/AddJS.py | S2-group/Lacuna-evaluation | b982d54a7cb65050f1743d0a514ebcabce01f23c | [
"MIT"
] | null | null | null | android-runner/AndroidRunner/Plugins/perfume_js/AddJS.py | S2-group/Lacuna-evaluation | b982d54a7cb65050f1743d0a514ebcabce01f23c | [
"MIT"
] | null | null | null | android-runner/AndroidRunner/Plugins/perfume_js/AddJS.py | S2-group/Lacuna-evaluation | b982d54a7cb65050f1743d0a514ebcabce01f23c | [
"MIT"
] | 1 | 2021-07-23T10:41:10.000Z | 2021-07-23T10:41:10.000Z | import sys
if __name__ == '__main__':
#USAGE: (python3 AddJS.py path/To/Directory/With/All/WebApplication/ IPADRRESS)
#NOTE: IPADDRESS should be in the form of http://IP:8080/ and IP is the ip address
add_js(sys.argv[1], sys.argv[2])
| 51.830508 | 677 | 0.599411 | import os, sys
import subprocess
from distutils.dir_util import copy_tree
from bs4 import BeautifulSoup
def bfs_dirs(root):
paths = [root]
while len(paths) > 0:
children = []
for parent in paths:
if parent.endswith(".gitignore"):
continue
... | 0 | 0 | 0 | 0 | 0 | 2,662 | 0 | 27 | 119 |
d207293da2f82b7baf5c06a2e00d92a54a8cf4dd | 1,879 | py | Python | las_test.py | paceholder/pylasdev | d63701d02d3a5f59de7f3ff33804d2f421f49402 | [
"BSD-3-Clause"
] | 2 | 2017-01-05T13:27:30.000Z | 2018-03-26T11:49:28.000Z | las_test.py | paceholder/pylasdev | d63701d02d3a5f59de7f3ff33804d2f421f49402 | [
"BSD-3-Clause"
] | null | null | null | las_test.py | paceholder/pylasdev | d63701d02d3a5f59de7f3ff33804d2f421f49402 | [
"BSD-3-Clause"
] | null | null | null | #from mnem_base import *
# Simple test with full LAS output for LAS reader
test_files = [
# LAS 1.2
"test_data/sample.las", # 0 - OK
"test_data/sample_minimal.las", # 1 - OK
"test_data/sample_wrapped.las", # 2 - OK
"test_data/sample_curve_api.las", # 3 - OK
# "test_data/sample_big.las", # 2 ... | 24.402597 | 75 | 0.624268 | from pylasdev import *
#from mnem_base import *
# Simple test with full LAS output for LAS reader
test_files = [
# LAS 1.2
"test_data/sample.las", # 0 - OK
"test_data/sample_minimal.las", # 1 - OK
"test_data/sample_wrapped.las", # 2 - OK
"test_data/sample_curve_api.las", # 3 - OK
# "test_dat... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 23 |
b1666e2f97dc00556483a7e6a3be95c2b359059f | 6,873 | py | Python | Playable/full builds/0.1 movement build/Corak/Main_menu.py | LinearHaru/Corak | 269f827131cbdaf15e6cd81bee792fbb6b9c7606 | [
"MIT"
] | null | null | null | Playable/full builds/0.1 movement build/Corak/Main_menu.py | LinearHaru/Corak | 269f827131cbdaf15e6cd81bee792fbb6b9c7606 | [
"MIT"
] | null | null | null | Playable/full builds/0.1 movement build/Corak/Main_menu.py | LinearHaru/Corak | 269f827131cbdaf15e6cd81bee792fbb6b9c7606 | [
"MIT"
] | null | null | null | import pygame
from Corak.mapread4 import mapread
screen = pygame.display.set_mode((ScreenX, ScreenY))
txt = "LRUDhallX.txt"
sala = openSala(txt)
tiles = mapread(sala)
tiles2 = pygame.sprite.Group()
size = getSize(sala)
offsets = getOffset(sala, size)
player1 = Corak()
print(tiles)
left = False
right = False
b = 1... | 29.753247 | 131 | 0.474465 | import pygame
from Corak.dicio import *
from Corak.mapread4 import mapread
class Corak(pygame.sprite.Sprite):
def __init__(self):
self.image = pygame.Surface([size, size])
self.image.fill(BLACK)
self.rect = self.image.get_rect()
self.at = [1, 11]
self.pos = [size * self.at[0... | 0 | 0 | 0 | 4,120 | 0 | 0 | 0 | 4 | 45 |
9ae35fd2f861db90faa296b2c3cb168bd8403548 | 6,842 | py | Python | RasPi_Dev/ros_ws/build/vslam/rtabmap_ros/catkin_generated/pkg.installspace.context.pc.py | QianheYu/xtark_driver_dev | 1708888161cf20c0d1f45c99d0da4467d69c26c8 | [
"BSD-3-Clause"
] | 1 | 2022-03-11T03:31:15.000Z | 2022-03-11T03:31:15.000Z | RasPi_Dev/ros_ws/build/vslam/rtabmap_ros/catkin_generated/pkg.installspace.context.pc.py | bravetree/xtark_driver_dev | 1708888161cf20c0d1f45c99d0da4467d69c26c8 | [
"BSD-3-Clause"
] | null | null | null | RasPi_Dev/ros_ws/build/vslam/rtabmap_ros/catkin_generated/pkg.installspace.context.pc.py | bravetree/xtark_driver_dev | 1708888161cf20c0d1f45c99d0da4467d69c26c8 | [
"BSD-3-Clause"
] | null | null | null | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "/home/xtark/ros_ws/install/include;/home/xtark/ros_ws/devel/lib/rtabmap-0.19/../../include/rtabmap-0.19;/opt/ros/kinetic/include/opencv-3.3.1-dev;/opt/ros/kinetic/include/opencv-3.3.1-dev/opencv".split... | 760.222222 | 5,828 | 0.80152 | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "/home/xtark/ros_ws/install/include;/home/xtark/ros_ws/devel/lib/rtabmap-0.19/../../include/rtabmap-0.19;/opt/ros/kinetic/include/opencv-3.3.1-dev;/opt/ros/kinetic/include/opencv-3.3.1-dev/opencv".split... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8a0630d38ab753c8a6ada60da69a9057613b5bc6 | 5,469 | py | Python | rbac/acl.py | eldorplus/simple-rbac | c7ca8ce6edb64797bbe43a0dfb11d686c2f5acf1 | [
"MIT"
] | 219 | 2015-01-15T23:56:29.000Z | 2022-03-27T19:56:47.000Z | rbac/acl.py | eldorplus/simple-rbac | c7ca8ce6edb64797bbe43a0dfb11d686c2f5acf1 | [
"MIT"
] | 6 | 2015-09-15T03:12:56.000Z | 2020-09-01T13:39:51.000Z | rbac/acl.py | eldorplus/simple-rbac | c7ca8ce6edb64797bbe43a0dfb11d686c2f5acf1 | [
"MIT"
] | 63 | 2015-03-15T05:36:21.000Z | 2021-07-22T12:40:49.000Z | from __future__ import absolute_import
__all__ = ["Registry"]
| 36.46 | 77 | 0.619492 | from __future__ import absolute_import
import itertools
__all__ = ["Registry"]
class Registry(object):
"""The registry of access control list."""
def __init__(self):
self._roles = {}
self._resources = {}
self._allowed = {}
self._denied = {}
# to allow additional sh... | 0 | 0 | 0 | 4,901 | 414 | 0 | 0 | -5 | 92 |
35ecdb8c51f52d9bb0708b4c0142ded1b98d2a57 | 23,704 | py | Python | ceph_report/collectors.py | Mirantis/ceph-monitoring | 2de4a90fb102337606732a46a382505047bfa1aa | [
"Apache-2.0"
] | 5 | 2016-09-19T10:42:15.000Z | 2018-09-05T11:18:03.000Z | ceph_report/collectors.py | Mirantis/ceph-monitoring | 2de4a90fb102337606732a46a382505047bfa1aa | [
"Apache-2.0"
] | 2 | 2016-10-18T09:15:19.000Z | 2018-03-21T10:24:54.000Z | ceph_report/collectors.py | Mirantis/ceph-monitoring | 2de4a90fb102337606732a46a382505047bfa1aa | [
"Apache-2.0"
] | 9 | 2016-10-17T13:20:01.000Z | 2019-01-09T14:33:48.000Z | from __future__ import annotations
import array
import logging
import collections
from typing import Any, List, Dict, TypeVar, Callable, Coroutine, Union
logger = logging.getLogger('collect')
T = TypeVar('T')
VT = TypeVar('VT', str, bytes, array.array)
CollectFunc = Callable[[Collector], Coroutine[Any, Any, ... | 38.795417 | 120 | 0.610741 | from __future__ import annotations
import os
import re
import time
import json
import array
import random
import asyncio
import logging
import datetime
import contextlib
import collections
from enum import IntEnum
from dataclasses import dataclass, field
from typing import Any, List, Dict, Optional, Tuple, TypeVar, Ca... | 0 | 18,461 | 2,653 | 542 | 0 | 375 | 0 | 248 | 863 |
42677e1e3fc74b4db9834cf9ae727d99e53425d8 | 1,999 | py | Python | plantcv/apply_mask.py | Atitsuda/plantcv | 29932a0f0aa3573a74335425bccc394b2fb7b885 | [
"MIT"
] | 2 | 2017-12-05T12:07:47.000Z | 2021-01-25T08:58:52.000Z | plantcv/apply_mask.py | Atitsuda/plantcv | 29932a0f0aa3573a74335425bccc394b2fb7b885 | [
"MIT"
] | null | null | null | plantcv/apply_mask.py | Atitsuda/plantcv | 29932a0f0aa3573a74335425bccc394b2fb7b885 | [
"MIT"
] | 1 | 2020-08-13T17:44:53.000Z | 2020-08-13T17:44:53.000Z | # Apply White or Black Background Mask
import cv2
from . import print_image
from . import plot_image
from . import fatal_error
def apply_mask(img, mask, mask_color, device, debug=None):
"""Apply white image mask to image, with bitwise AND operator bitwise NOT operator and ADD operator.
Inputs:
img ... | 35.696429 | 104 | 0.643322 | # Apply White or Black Background Mask
import cv2
from . import print_image
from . import plot_image
from . import fatal_error
def apply_mask(img, mask, mask_color, device, debug=None):
"""Apply white image mask to image, with bitwise AND operator bitwise NOT operator and ADD operator.
Inputs:
img ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1b7ccd8aaf4d068975398a6662e5f16f5a3693e4 | 147,800 | py | Python | all/emojitations/data/nb.py | idleberg/sublime-emojitations | b2b4e8ce2c33ed0f6b8d6db6085e21da4e8d895b | [
"MIT"
] | 6 | 2016-08-31T14:42:36.000Z | 2021-09-05T23:55:47.000Z | all/emojitations/data/nb.py | idleberg/sublime-emojitations | b2b4e8ce2c33ed0f6b8d6db6085e21da4e8d895b | [
"MIT"
] | 1 | 2016-10-20T10:52:06.000Z | 2016-10-20T18:47:19.000Z | all/emojitations/data/nb.py | idleberg/sublime-emojitations | b2b4e8ce2c33ed0f6b8d6db6085e21da4e8d895b | [
"MIT"
] | 5 | 2016-08-31T14:48:11.000Z | 2021-09-05T23:55:33.000Z | from emojitations.emojitypes import EmojiAnnotations
emoji = [
EmojiAnnotations(emoji='', codepoints=(128512,), name='glisefjes', slug='glisefjes', annotations=frozenset({'fjes', 'lol', 'latter', 'morsomt', 'smilende fjes'})),
EmojiAnnotations(emoji='', codepoints=(128513,), name='glisefjes med smilende yne', slug=... | 146.772592 | 272 | 0.712882 | from emojitations.emojitypes import EmojiAnnotations
emoji = [
EmojiAnnotations(emoji='😀', codepoints=(128512,), name='glisefjes', slug='glisefjes', annotations=frozenset({'fjes', 'lol', 'latter', 'morsomt', 'smilende fjes'})),
EmojiAnnotations(emoji='😁', codepoints=(128513,), name='glisefjes med smilende øyne', ... | 5,228 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2c589918bd089b9df29d1ef24cd732b1cc0b49ab | 850 | py | Python | JumpscaleCore/sal/tls/TLSFactory.py | gneumann333/jumpscaleX_core | 777d249fa3668c6e802c2f765f4b82fb39c3e5fa | [
"Apache-2.0"
] | 1 | 2020-06-21T11:18:52.000Z | 2020-06-21T11:18:52.000Z | JumpscaleCore/sal/tls/TLSFactory.py | gneumann333/jumpscaleX_core | 777d249fa3668c6e802c2f765f4b82fb39c3e5fa | [
"Apache-2.0"
] | 644 | 2019-08-25T10:19:56.000Z | 2020-12-23T09:41:04.000Z | JumpscaleCore/sal/tls/TLSFactory.py | gneumann333/jumpscaleX_core | 777d249fa3668c6e802c2f765f4b82fb39c3e5fa | [
"Apache-2.0"
] | 11 | 2019-08-29T21:38:50.000Z | 2020-06-21T11:18:55.000Z | from Jumpscale import j
JSBASE = j.baseclasses.object
TESTTOOLS = j.baseclasses.testtools
| 27.419355 | 116 | 0.635294 | from Jumpscale import j
from .TLS import TLS
JSBASE = j.baseclasses.object
TESTTOOLS = j.baseclasses.testtools
class TLSFactory(JSBASE, TESTTOOLS):
"""Factory class to deal with TLS, key and certificate generation"""
__jslocation__ = "j.sal.tls"
def get(self, path=None):
"""Get an instance of t... | 0 | 0 | 0 | 714 | 0 | 0 | 0 | -1 | 45 |
3eb68fc8603a458a23c9f596d4cd12e5aceca226 | 14,398 | py | Python | rplugin/python3/deoplete/sources/deoplete-ruby-core.py | etordera/deoplete-ruby | 57b85a5413d12e61478ff48917d2d708005e8110 | [
"MIT"
] | 3 | 2021-02-03T12:22:12.000Z | 2021-06-27T01:31:35.000Z | rplugin/python3/deoplete/sources/deoplete-ruby-core.py | etordera/deoplete-ruby | 57b85a5413d12e61478ff48917d2d708005e8110 | [
"MIT"
] | null | null | null | rplugin/python3/deoplete/sources/deoplete-ruby-core.py | etordera/deoplete-ruby | 57b85a5413d12e61478ff48917d2d708005e8110 | [
"MIT"
] | null | null | null |
# ------------------------------- KEYWORD -------------------------------------------------------------------------
ruby_core_keywords = [
'__callee__', '__dir__', '__enable', '__id__', '__method__', '__send__', '_id', 'abort', 'abort_on_exception',
'abs', 'absolute_path', 'acos', 'acosh', 'add', 'add_stress_t... | 96.630872 | 142 | 0.631129 | import re
import traceback
from deoplete.source.base import Base
# ------------------------------- KEYWORD -------------------------------------------------------------------------
ruby_core_keywords = [
'__callee__', '__dir__', '__enable', '__id__', '__method__', '__send__', '_id', 'abort', 'abort_on_exception',
... | 0 | 0 | 0 | 510 | 0 | 0 | 0 | -1 | 89 |
88b9fb4e665f7210757b55549cc4282c8b38c598 | 432 | py | Python | docs/src/conf.py | EpicWink/python-swf-typed | f630f5a1b6e31ad6f6260b7af77ba52212585105 | [
"MIT"
] | null | null | null | docs/src/conf.py | EpicWink/python-swf-typed | f630f5a1b6e31ad6f6260b7af77ba52212585105 | [
"MIT"
] | 2 | 2021-11-09T07:22:37.000Z | 2021-11-16T06:08:17.000Z | docs/src/conf.py | EpicWink/python-swf-typed | f630f5a1b6e31ad6f6260b7af77ba52212585105 | [
"MIT"
] | null | null | null | """Sphinx documentation generation configuration."""
import importlib.metadata
project = "swf-typed"
copyright = "2021, Laurie O"
author = "Laurie O"
release = importlib.metadata.version("swf-typed") # full version
version = ".".join(release.split(".")[:2]) # short X.Y version
extensions = [
"sphinx.ext.autodo... | 22.736842 | 65 | 0.689815 | """Sphinx documentation generation configuration."""
import importlib.metadata
project = "swf-typed"
copyright = "2021, Laurie O"
author = "Laurie O"
release = importlib.metadata.version("swf-typed") # full version
version = ".".join(release.split(".")[:2]) # short X.Y version
extensions = [
"sphinx.ext.autodo... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f1b172985ca70587402973a703d4eceb2acea396 | 670 | py | Python | Array/0189.RotateArray.3.py | joonion/leetcode-in-python | 9d621be1d736d81445ef19eebb7921eb4c212f83 | [
"Apache-2.0"
] | null | null | null | Array/0189.RotateArray.3.py | joonion/leetcode-in-python | 9d621be1d736d81445ef19eebb7921eb4c212f83 | [
"Apache-2.0"
] | null | null | null | Array/0189.RotateArray.3.py | joonion/leetcode-in-python | 9d621be1d736d81445ef19eebb7921eb4c212f83 | [
"Apache-2.0"
] | null | null | null |
s = Solution()
# L, k = [1, 2, 3, 4, 5, 6, 7], 3
L, k = [-1, -100, 3, 99], 2
s.rotate(L, k)
print(L) | 26.8 | 61 | 0.435821 | from typing import List
class Solution:
def rotate(self, nums: List[int], k: int) -> None:
"""
Do not return anything, modify nums in-place instead.
"""
n, k = len(nums), k % len(nums)
start = count = 0
while count < n:
curr, prev = start, nums[start]
... | 0 | 0 | 0 | 522 | 0 | 0 | 0 | 2 | 45 |
1161bacaa9f1743f84d4b231e15c83e73755dd30 | 3,002 | py | Python | ds_linked_list/sorted_linked_list.py | dileepkr/datastructures | e20f853a1247c9c6ae065696247900727e415d8f | [
"MIT"
] | null | null | null | ds_linked_list/sorted_linked_list.py | dileepkr/datastructures | e20f853a1247c9c6ae065696247900727e415d8f | [
"MIT"
] | null | null | null | ds_linked_list/sorted_linked_list.py | dileepkr/datastructures | e20f853a1247c9c6ae065696247900727e415d8f | [
"MIT"
] | null | null | null |
if __name__ == "__main__":
ll = Unsorted_linked_list()
for i in range(1,10):
ll.add(i)
print(ll) | 26.333333 | 75 | 0.538641 | from ds_linked_list.ll_node import Node
class Unsorted_linked_list:
def __init__(self):
self.head = None
def add(self, element):
node_ = Node(element)
if not self.head:
self.head = node_
else:
node_.next = self.head.next
self.head = node_... | 0 | 0 | 0 | 2,822 | 0 | 0 | 0 | 18 | 45 |
c9dda6b20451a34bd8a26cd49b9c5441acab86e2 | 1,779 | py | Python | Curso Em Video-python/PYTHON (MUNDO 1, MUNDO 2 E MUNDO 3)/exercicios/ex0068_jogo_ParouImpar.py | AlamoVinicius/code-pratice | 924a3ff782caf3695bbeeac39fa02fb23781cd75 | [
"MIT"
] | null | null | null | Curso Em Video-python/PYTHON (MUNDO 1, MUNDO 2 E MUNDO 3)/exercicios/ex0068_jogo_ParouImpar.py | AlamoVinicius/code-pratice | 924a3ff782caf3695bbeeac39fa02fb23781cd75 | [
"MIT"
] | null | null | null | Curso Em Video-python/PYTHON (MUNDO 1, MUNDO 2 E MUNDO 3)/exercicios/ex0068_jogo_ParouImpar.py | AlamoVinicius/code-pratice | 924a3ff782caf3695bbeeac39fa02fb23781cd75 | [
"MIT"
] | null | null | null | """FAa um programa que jogue par ou impar com o computadr. O jogo s ser interrompido quando o jogador PERDER,
mostrando o total de vitrias consecutivas que conquistou no final do jogo"""
from random import randint
print(f'''{"-=" * 20}
PAR OU IMPAR
{"-=" * 20}''')
contador = 0
while True:
jogadapc = randint(0, 10)... | 39.533333 | 117 | 0.613266 | """FAça um programa que jogue par ou impar com o computadr. O jogo só será interrompido quando o jogador PERDER,
mostrando o total de vitórias consecutivas que conquistou no final do jogo"""
from random import randint
print(f'''{"-=" * 20}
PAR OU IMPAR
{"-=" * 20}''')
contador = 0
while True:
jogadapc = randint(0,... | 60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
bc4c93cb414d187ed9e63256b173998897ab935c | 3,451 | py | Python | main.py | vlntsolo/multiprocessing-webscraper | a3b43bb68ec0c3897c1a6294f9268b44a19ed457 | [
"MIT"
] | null | null | null | main.py | vlntsolo/multiprocessing-webscraper | a3b43bb68ec0c3897c1a6294f9268b44a19ed457 | [
"MIT"
] | null | null | null | main.py | vlntsolo/multiprocessing-webscraper | a3b43bb68ec0c3897c1a6294f9268b44a19ed457 | [
"MIT"
] | 1 | 2021-09-25T07:06:51.000Z | 2021-09-25T07:06:51.000Z | from multiprocessing import cpu_count
PROCESSES = cpu_count() #P parameter
NUM_THREADS = 10 #T parameter
TARGET_RESOURCES = [
'https://example.org/',
'https://www.python.org/',
'https://www.djangoproject.com/',
'https://www.lipsum.com/',
]
if __name__ == "__main__":
run()
| 28.056911 | 100 | 0.630832 | import asyncio
import logging
from multiprocessing import Queue, Process, cpu_count
import queue
from threading import Thread
import time
import aiohttp
import aiosqlite
from bs4 import BeautifulSoup
PROCESSES = cpu_count() #P parameter
NUM_THREADS = 10 #T parameter
TARGET_RESOURCES = [
'https://example.org/',
... | 0 | 0 | 1,202 | 448 | 0 | 1,223 | 0 | -14 | 291 |
c7d20615c4661ca6379e79c0a04f84ac1184fea2 | 1,202 | py | Python | tests/backend/ini.py | edyan/python-anyconfig | d237909a6e4848737539b80951b710238c72052f | [
"MIT"
] | null | null | null | tests/backend/ini.py | edyan/python-anyconfig | d237909a6e4848737539b80951b710238c72052f | [
"MIT"
] | null | null | null | tests/backend/ini.py | edyan/python-anyconfig | d237909a6e4848737539b80951b710238c72052f | [
"MIT"
] | null | null | null | #
# Copyright (C) 2012 - 2017 Satoru SATOH <ssato @ redhat.com>
# License: MIT
#
# pylint: disable=missing-docstring,invalid-name,too-few-public-methods
from __future__ import absolute_import
# :seealso: `tests.backend.common.CNF_0`
CNF_0_S = """\
[DEFAULT]
a: 0
b: bbb
c: 5
[sect0]
d: x,y,z
"""
# vim:sw=4:ts=4:e... | 23.115385 | 71 | 0.675541 | #
# Copyright (C) 2012 - 2017 Satoru SATOH <ssato @ redhat.com>
# License: MIT
#
# pylint: disable=missing-docstring,invalid-name,too-few-public-methods
from __future__ import absolute_import
import anyconfig.backend.ini as TT
import tests.backend.common as TBC
# :seealso: `tests.backend.common.CNF_0`
CNF_0_S = """\... | 0 | 0 | 0 | 739 | 0 | 0 | 0 | 26 | 114 |
1ac8d5589ceca70f9e89f1d4ba9ffbf6e4b2d824 | 1,257 | py | Python | yandex_algorithm2/home1c.py | erjan/coding_exercises | 53ba035be85f1e7a12b4d4dbf546863324740467 | [
"Apache-2.0"
] | null | null | null | yandex_algorithm2/home1c.py | erjan/coding_exercises | 53ba035be85f1e7a12b4d4dbf546863324740467 | [
"Apache-2.0"
] | null | null | null | yandex_algorithm2/home1c.py | erjan/coding_exercises | 53ba035be85f1e7a12b4d4dbf546863324740467 | [
"Apache-2.0"
] | null | null | null | '''
, ( , , ) ( , , ). . , . ?
, . , .
x
,
y
z
(
1
x
3
1
,
1
y
3
1
,
1
9
7
0
z
2
0
6
9
. ,
x
y
z
.
1, , 0 .
'''
if __name__ == "__main__":
l = list(map(int, input().split()))
result = helper(l)
pri... | 18.761194 | 374 | 0.686555 | '''
Как известно, два наиболее распространённых формата записи даты — это европейский (сначала день, потом месяц, потом год) и американски (сначала месяц, потом день, потом год). Системный администратор поменял дату на одном из бэкапов и сейчас хочет вернуть дату обратно. Но он не проверил, в каком формате дата использ... | 1,292 | 0 | 0 | 0 | 0 | 261 | 0 | 0 | 23 |
dfee84d5a90ad6258f2c7a73186f191a93aded33 | 2,038 | py | Python | myTreeView.py | hebingyedu/Hyperspetral-Image-segmentation | f5c89358cb57227eb88ed9e49597a548c083e0dc | [
"MIT"
] | 1 | 2021-07-17T00:30:00.000Z | 2021-07-17T00:30:00.000Z | myTreeView.py | hebingyedu/Hyperspetral-Image-segmentation | f5c89358cb57227eb88ed9e49597a548c083e0dc | [
"MIT"
] | null | null | null | myTreeView.py | hebingyedu/Hyperspetral-Image-segmentation | f5c89358cb57227eb88ed9e49597a548c083e0dc | [
"MIT"
] | null | null | null | #coding=utf-8
import os
| 35.137931 | 77 | 0.647694 | #coding=utf-8
from PySide2 import QtWidgets, QtCore, QtGui
import numpy as np
import os
import os.path
import processRS
class myTreeView(QtWidgets.QWidget):
def __init__(self, treeList=[],parent=None):
super().__init__(parent)
self.treeWidget=QtWidgets.QTreeView(parent)
self.fileModel=Qt... | 24 | 0 | 0 | 1,883 | 0 | 0 | 0 | 8 | 112 |
cc5ea48635d7da4e40a03291da25afd53bb7a8d4 | 894 | py | Python | 02 - Curso Em Video/Aula 23/E - 113.py | GabrielTrentino/Python_Basico | f13f6448c275c14896337d2018b04cbf5a54efd3 | [
"MIT"
] | null | null | null | 02 - Curso Em Video/Aula 23/E - 113.py | GabrielTrentino/Python_Basico | f13f6448c275c14896337d2018b04cbf5a54efd3 | [
"MIT"
] | null | null | null | 02 - Curso Em Video/Aula 23/E - 113.py | GabrielTrentino/Python_Basico | f13f6448c275c14896337d2018b04cbf5a54efd3 | [
"MIT"
] | null | null | null |
nint = leiaInt('Digite um numero Inteiro: ')
nfloat = leiaFloat('Digite um nmero Flutuante: ')
print(f'Voc digitou um nmero Inteiro: {nint}\nE um nmero Flutuante: {nfloat}') | 35.76 | 81 | 0.579418 | def leiaInt(msg):
while True:
try:
num = int(input(msg).replace(',','.').strip())
except(ValueError, TypeError, Exception) as erro:
print('\033[0;31mERRO! Digite um número inteiro valido\033[m')
print(f'Você digitou um erro: {erro.__class__}')
else:... | 16 | 0 | 0 | 0 | 0 | 657 | 0 | 0 | 48 |
b7d2c1ca306aa8bfac8f95fd02bac2ff9a17f2e2 | 6,255 | py | Python | ipme/utils/functions.py | evdoxiataka/ipme | ed2aa5322bf719994237a743adff89547b18a142 | [
"MIT"
] | 22 | 2020-10-31T21:39:18.000Z | 2021-12-05T02:21:15.000Z | ipme/utils/functions.py | evdoxiataka/ipme | ed2aa5322bf719994237a743adff89547b18a142 | [
"MIT"
] | null | null | null | ipme/utils/functions.py | evdoxiataka/ipme | ed2aa5322bf719994237a743adff89547b18a142 | [
"MIT"
] | 2 | 2021-01-27T09:14:02.000Z | 2021-03-05T02:47:20.000Z | import numpy as np
from math import gcd, ceil
# import itertools
def lcm(list_of_int):
"""
Get the Least Common Multyply (lcm) of a list of integer numbers.
Parameters:
--------
list_of_int A List of integers
Returns:
--------
An integer (the lcm... | 31.913265 | 91 | 0.53717 | import numpy as np
from math import gcd, ceil
# import itertools
def lcm(list_of_int):
"""
Get the Least Common Multyply (lcm) of a list of integer numbers.
Parameters:
--------
list_of_int A List of integers
Returns:
--------
An integer (the lcm... | 0 | 0 | 0 | 0 | 0 | 2,876 | 0 | 0 | 138 |
1f19f13e91c75f3090fe3500b07c916348d4e0d3 | 317 | py | Python | py/so/light_pixels.py | YodaEmbedding/experiments | 567c6a1c18fac2d951fe2af54aaa4917b7d529d2 | [
"MIT"
] | null | null | null | py/so/light_pixels.py | YodaEmbedding/experiments | 567c6a1c18fac2d951fe2af54aaa4917b7d529d2 | [
"MIT"
] | null | null | null | py/so/light_pixels.py | YodaEmbedding/experiments | 567c6a1c18fac2d951fe2af54aaa4917b7d529d2 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import cv2
# img = cv2.imread('4.png')
# hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
# img[hsv[:,:,0] > 20] = 255
img = cv2.imread("4.png")
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
img[gray > 200] = 255
cv2.imwrite("4_.png", img)
cv2.imshow("img", img)
cv2.waitKey(0)
| 18.647059 | 44 | 0.659306 | #!/usr/bin/env python3
import cv2
import numpy as np
# img = cv2.imread('4.png')
# hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
# img[hsv[:,:,0] > 20] = 255
img = cv2.imread("4.png")
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
img[gray > 200] = 255
cv2.imwrite("4_.png", img)
cv2.imshow("img", img)
cv2.waitKey(0)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | -3 | 22 |
22c03d85273a3ae5d9bb0f4814acf96c016dc277 | 2,303 | py | Python | cmdfunctools/types.py | Mr-Io/chtool | 4d4337b016c53d7e19d3b9dcec161b3ad115b611 | [
"MIT"
] | 1 | 2019-04-23T16:49:42.000Z | 2019-04-23T16:49:42.000Z | cmdfunctools/types.py | Mr-Io/chtool | 4d4337b016c53d7e19d3b9dcec161b3ad115b611 | [
"MIT"
] | null | null | null | cmdfunctools/types.py | Mr-Io/chtool | 4d4337b016c53d7e19d3b9dcec161b3ad115b611 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
cmdfunctools.types
~~~~~~~~~~~~~~~~~~~~~~~
Module with the type checkers for the function/commandline args.
"""
import string
# ***********************************************************
# default functions used when type argument are not provided
def default_true(*arg):
"""
Aux... | 21.933333 | 81 | 0.569257 | # -*- coding: utf-8 -*-
"""
cmdfunctools.types
~~~~~~~~~~~~~~~~~~~~~~~
Module with the type checkers for the function/commandline args.
"""
import string
# ***********************************************************
# default functions used when type argument are not provided
def default_true(*arg):
"""
Aux... | 0 | 0 | 0 | 0 | 0 | 63 | 0 | 0 | 22 |
5785cc952971cae8790212bea0f5458065c88ad7 | 291 | py | Python | api/models.py | Rytiggy/osfPages-service- | 06efc49c529f2a2623d03b9c790e931b84110d24 | [
"Apache-2.0"
] | null | null | null | api/models.py | Rytiggy/osfPages-service- | 06efc49c529f2a2623d03b9c790e931b84110d24 | [
"Apache-2.0"
] | 3 | 2020-02-12T00:11:57.000Z | 2021-06-10T19:50:20.000Z | api/models.py | Rytiggy/osfPages-service- | 06efc49c529f2a2623d03b9c790e931b84110d24 | [
"Apache-2.0"
] | 2 | 2017-08-28T18:58:11.000Z | 2017-08-28T18:59:33.000Z |
# Create your models here.
| 29.1 | 64 | 0.780069 | from django.db import models
# Create your models here.
class Home(models.Model):
guid = models.CharField(max_length=5, primary_key=True)
page_data = models.TextField()
unpublished_page_data = models.TextField(null=True, blank=True)
meta_data = models.TextField(null=True, blank=True)
| 0 | 0 | 0 | 211 | 0 | 0 | 0 | 7 | 45 |
0226bec4d9ef01c8ee635854ea31a5261ea22df3 | 7,402 | py | Python | shell-server.py | MathieuMorrissette/WebsocketShelling | d63e09216df10b2a38ee2d5cb9b2ee6531ff37c9 | [
"Unlicense"
] | null | null | null | shell-server.py | MathieuMorrissette/WebsocketShelling | d63e09216df10b2a38ee2d5cb9b2ee6531ff37c9 | [
"Unlicense"
] | null | null | null | shell-server.py | MathieuMorrissette/WebsocketShelling | d63e09216df10b2a38ee2d5cb9b2ee6531ff37c9 | [
"Unlicense"
] | null | null | null | import asyncio
import ssl
import websockets
import json
import base64
server_password = ""
with open("./config.txt", "r") as config:
data = config.read()
data = json.loads(data)
server_password = base64.b64decode(data["server_password"])
print(generate_random(10))
cert_gen()
pwneds = []
clients = []
... | 32.897778 | 110 | 0.586598 | import asyncio
import ssl
import websockets
import os
import json
import time
import base64
import random
import string
import hashlib
from OpenSSL import crypto, SSL
from datetime import datetime
server_password = ""
with open("./config.txt", "r") as config:
data = config.read()
data = json.loads(data)
s... | 0 | 0 | 4,085 | 0 | 0 | 2,354 | 0 | -27 | 292 |
1a4d3826fe05523d57fcaa16a40fcae86b60e476 | 7,334 | py | Python | src/numcolorpy.py | dlanier/FlyingMachineFractal | 3889bfb8b8005717de83954d4a705154e908273b | [
"MIT"
] | 4 | 2017-03-27T19:50:37.000Z | 2021-07-15T03:23:03.000Z | pyreimpic/zcolormap.py | dlanier/FlyingMachineFractal | 3889bfb8b8005717de83954d4a705154e908273b | [
"MIT"
] | null | null | null | pyreimpic/zcolormap.py | dlanier/FlyingMachineFractal | 3889bfb8b8005717de83954d4a705154e908273b | [
"MIT"
] | 1 | 2017-03-27T19:50:54.000Z | 2017-03-27T19:50:54.000Z | # -*- coding: utf-8 -*-
"""
numcolorpy.py
Created Saturday April 22 2017
@author: del
lanier4@illinois.edu
mradmstr514226508@gmail.com
import numcolorpy as ncp
"""
import numpy as np
from PIL import Image as IP
import colorsys
def range_norm(Z, lo=0.0, hi=1.0):
""" normaize input matrix Z within a lo - hi range... | 27.062731 | 105 | 0.565858 | # -*- coding: utf-8 -*-
"""
numcolorpy.py
Created Saturday April 22 2017
@author: del
lanier4@illinois.edu
mradmstr514226508@gmail.com
import numcolorpy as ncp
"""
import time
import numpy as np
from PIL import Image as IP
from PIL import ImageColor as IC
import colorsys
def range_norm(Z, lo=0.0, hi=1.0):
""" ... | 0 | 0 | 0 | 0 | 0 | 1,949 | 0 | 1 | 206 |
36827512a9f1775495657b3d791cc3c2672adda4 | 12,952 | py | Python | venv/lib/python3.8/site-packages/hgext/remotefilelog/contentstore.py | JesseDavids/mqtta | 389eb4f06242d4473fe1bcff7fc6a22290e0d99c | [
"Apache-2.0"
] | 4 | 2021-02-05T10:57:39.000Z | 2022-02-25T04:43:23.000Z | venv/lib/python3.8/site-packages/hgext/remotefilelog/contentstore.py | JesseDavids/mqtta | 389eb4f06242d4473fe1bcff7fc6a22290e0d99c | [
"Apache-2.0"
] | null | null | null | venv/lib/python3.8/site-packages/hgext/remotefilelog/contentstore.py | JesseDavids/mqtta | 389eb4f06242d4473fe1bcff7fc6a22290e0d99c | [
"Apache-2.0"
] | null | null | null | from __future__ import absolute_import
| 33.4677 | 80 | 0.602996 | from __future__ import absolute_import
import threading
from mercurial.node import hex, nullid
from mercurial.pycompat import getattr
from mercurial import (
mdiff,
pycompat,
revlog,
)
from . import (
basestore,
constants,
shallowutil,
)
class ChainIndicies(object):
"""A static class for... | 0 | 1,034 | 0 | 11,534 | 0 | 0 | 0 | 113 | 227 |
90b0bf7b1dba201331c6a48219374b9f0a593643 | 2,098 | py | Python | backtracking/n-queens/Python/NQueen.py | CarbonDDR/al-go-rithms | 8e65affbe812931b7dde0e2933eb06c0f44b4130 | [
"CC0-1.0"
] | 1,253 | 2017-06-06T07:19:25.000Z | 2022-03-30T17:07:58.000Z | backtracking/n-queens/Python/NQueen.py | rishabh99-rc/al-go-rithms | 4df20d7ef7598fda4bc89101f9a99aac94cdd794 | [
"CC0-1.0"
] | 554 | 2017-09-29T18:56:01.000Z | 2022-02-21T15:48:13.000Z | backtracking/n-queens/Python/NQueen.py | rishabh99-rc/al-go-rithms | 4df20d7ef7598fda4bc89101f9a99aac94cdd794 | [
"CC0-1.0"
] | 2,226 | 2017-09-29T19:59:59.000Z | 2022-03-25T08:59:55.000Z | from __future__ import print_function
# Python program to solve N Queen
# Problem using backtracking
global N
N = 4
# A utility function to check if a queen can
# be placed on board[row][col]. Note that this
# function is called when "col" queens are
# already placed in columns from 0 to col -1.
# So we need to che... | 22.804348 | 52 | 0.672069 | from __future__ import print_function
# Python program to solve N Queen
# Problem using backtracking
global N
N = 4
def printSolution(board):
for i in range(N):
for j in range(N):
print(board[i][j], end=' ')
print()
# A utility function to check if a queen can
# be placed on board[row][col]. Note that this... | 0 | 0 | 0 | 0 | 0 | 1,256 | 0 | 0 | 90 |
cf6dae97fca58029e3d487cb8e373c64b3a1b651 | 232 | py | Python | Python Files/Helper Files/Spectogram_crop_test.py | brennanMosher/Music-Genre-Recognition-using-a-Machine-Learning-Appraoch | 7834fe5d709e894322ad76ef118067febaa78bce | [
"MIT"
] | 1 | 2021-04-13T16:22:27.000Z | 2021-04-13T16:22:27.000Z | Python Files/Helper Files/Spectogram_crop_test.py | brennanMosher/Music-Genre-Recognition-using-a-Machine-Learning-Appraoch | 7834fe5d709e894322ad76ef118067febaa78bce | [
"MIT"
] | null | null | null | Python Files/Helper Files/Spectogram_crop_test.py | brennanMosher/Music-Genre-Recognition-using-a-Machine-Learning-Appraoch | 7834fe5d709e894322ad76ef118067febaa78bce | [
"MIT"
] | null | null | null | from PIL import Image
'''
Test file for cropping images
'''
file_loc = r'C:\Users\brenn\Desktop\Spectrogram/blues.00000.jpg'
im = Image.open(file_loc)
crop_box = (80, 58, 576, 427)
img1 = im.crop(crop_box)
img1.show() | 15.466667 | 64 | 0.711207 | import os
from PIL import Image
'''
Test file for cropping images
'''
file_loc = r'C:\Users\brenn\Desktop\Spectrogram/blues.00000.jpg'
im = Image.open(file_loc)
crop_box = (80, 58, 576, 427)
img1 = im.crop(crop_box)
img1.show() | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -12 | 22 |
01221d594e7e8a20c9a9d17c46c4a2281a62c2ae | 982 | py | Python | problems/15.3-sum.py | lucasheriques/leetcode-solutions | cd36b5df46a75a0cb17569faf9cf56186864f68a | [
"MIT"
] | null | null | null | problems/15.3-sum.py | lucasheriques/leetcode-solutions | cd36b5df46a75a0cb17569faf9cf56186864f68a | [
"MIT"
] | null | null | null | problems/15.3-sum.py | lucasheriques/leetcode-solutions | cd36b5df46a75a0cb17569faf9cf56186864f68a | [
"MIT"
] | null | null | null | #
# @lc app=leetcode id=15 lang=python3
#
# [15] 3Sum
#
# O(n^2) time | O(n) space
| 27.277778 | 76 | 0.407332 | #
# @lc app=leetcode id=15 lang=python3
#
# [15] 3Sum
#
# O(n^2) time | O(n) space
class Solution:
def threeSum(self, array, k=0):
array.sort()
ans = []
for i in range(len(array) - 1):
left = i + 1
right = len(array) - 1
if i > 0 and array[i] == array[... | 0 | 0 | 0 | 874 | 0 | 0 | 0 | 0 | 23 |
11705964d46a522a8400a13b9c02c8fb742ed68b | 434 | py | Python | 2018/day1/first_repeat.py | forrestrice/advent | 2451de84790e67c08676154bfa5167ee353d4e42 | [
"MIT"
] | 1 | 2019-12-03T07:41:10.000Z | 2019-12-03T07:41:10.000Z | 2018/day1/first_repeat.py | forrestrice/advent | 2451de84790e67c08676154bfa5167ee353d4e42 | [
"MIT"
] | null | null | null | 2018/day1/first_repeat.py | forrestrice/advent | 2451de84790e67c08676154bfa5167ee353d4e42 | [
"MIT"
] | null | null | null | input_file_name = "time_machine_input.txt"
sum = 0
seen_sums = {}
for time_input in infinite_input():
sum += int(time_input)
sum_frequency = seen_sums.get(sum, 0) + 1
seen_sums[sum] = sum_frequency
if sum_frequency > 1:
print(sum)
break | 24.111111 | 45 | 0.638249 | input_file_name = "time_machine_input.txt"
def infinite_input():
input_file = open(input_file_name, "r")
while True:
for line in input_file:
yield line
input_file.seek(0)
sum = 0
seen_sums = {}
for time_input in infinite_input():
sum += int(time_input)
sum_frequency = seen_... | 0 | 0 | 0 | 0 | 142 | 0 | 0 | 0 | 23 |
2fda7d56160fe8a774a3ce7da64ac6810295ef73 | 2,554 | py | Python | refbee/platforms/wikidata.py | kmdn/RefBee | c45e5fa7a3f011b760284a7ee8dafec8e0884280 | [
"MIT"
] | null | null | null | refbee/platforms/wikidata.py | kmdn/RefBee | c45e5fa7a3f011b760284a7ee8dafec8e0884280 | [
"MIT"
] | null | null | null | refbee/platforms/wikidata.py | kmdn/RefBee | c45e5fa7a3f011b760284a7ee8dafec8e0884280 | [
"MIT"
] | null | null | null | from refbee.util import get_sparql_query_results
platform_properties_dict = {
"ORCID": "wdt:P496",
"Google Scholar": "wdt:P1960",
"VIAF": "wdt:P214",
"DBLP": "wdt:P2456",
"Dimensions": "wdt:P6178",
"Github": "wdt:P2037",
"Microsoft Academic": "wdt:P6366",
"Semantic Scholar": "wdt:P4012"... | 38.69697 | 103 | 0.635082 | from refbee.util import get_sparql_query_results
platform_properties_dict = {
"ORCID": "wdt:P496",
"Google Scholar": "wdt:P1960",
"VIAF": "wdt:P214",
"DBLP": "wdt:P2456",
"Dimensions": "wdt:P6178",
"Github": "wdt:P2037",
"Microsoft Academic": "wdt:P6366",
"Semantic Scholar": "wdt:P4012"... | 0 | 0 | 0 | 0 | 0 | 1,201 | 0 | 0 | 46 |
722c4c63b3fd5d59bca4f70da65c4babd7f2a270 | 2,814 | py | Python | neptunecontrib/api/audio.py | piojanu/neptune-contrib | 7793c325af1c225cbda972bc0f89fa45f8da6cf3 | [
"MIT"
] | 22 | 2020-02-23T21:25:34.000Z | 2021-06-11T16:34:27.000Z | neptunecontrib/api/audio.py | piojanu/neptune-contrib | 7793c325af1c225cbda972bc0f89fa45f8da6cf3 | [
"MIT"
] | 29 | 2020-02-11T11:10:22.000Z | 2021-10-03T09:01:28.000Z | neptunecontrib/api/audio.py | piojanu/neptune-contrib | 7793c325af1c225cbda972bc0f89fa45f8da6cf3 | [
"MIT"
] | 7 | 2020-05-10T06:59:53.000Z | 2021-06-11T16:34:32.000Z | #
# Copyright (c) 2020, Neptune Labs Sp. z o.o.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | 33.903614 | 120 | 0.662758 | #
# Copyright (c) 2020, Neptune Labs Sp. z o.o.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9d1b6d427be95ea45d7c26c3d929358589c3f356 | 52,569 | py | Python | PUBGSearchbot.py | J-hoplin1/PUBG-player-search-bot | b3389cde41f4c3723b29885d355ac4491146934c | [
"MIT"
] | 6 | 2020-06-09T06:45:17.000Z | 2021-07-31T16:07:40.000Z | PUBGSearchbot.py | J-hoplin1/PUBG-player-search-bot | b3389cde41f4c3723b29885d355ac4491146934c | [
"MIT"
] | null | null | null | PUBGSearchbot.py | J-hoplin1/PUBG-player-search-bot | b3389cde41f4c3723b29885d355ac4491146934c | [
"MIT"
] | 5 | 2020-05-23T01:27:43.000Z | 2021-08-21T14:38:15.000Z | #This code and description is written by Hoplin
#This code is written with API version 1.0.0(Rewirte-V)
#No matter to use it as non-commercial.
import discord
from urllib.request import urlopen
token = ''
client = discord.Client()
client.run(token)
| 65.793492 | 185 | 0.531739 | #This code and description is written by Hoplin
#This code is written with API version 1.0.0(Rewirte-V)
#No matter to use it as non-commercial.
import discord
import asyncio
import os
from discord.ext import commands
import urllib
from urllib.request import URLError
from urllib.request import HTTPError
from urllib.req... | 2,577 | 51,051 | 0 | 0 | 0 | 0 | 0 | 5 | 400 |
b8808619cc1183cfb2b684a8df56450fbbbcf6bc | 1,913 | py | Python | test_scripts/functional_tests/pool/close_pool_ledger_after_reopen_pool_test.py | hyperledger/indy-post-install-automation | a19cb3c66f0adea6bb4c1fc20e1509cc97bd3d5f | [
"Apache-2.0"
] | 2 | 2021-08-23T15:20:22.000Z | 2021-12-03T01:58:02.000Z | test_scripts/functional_tests/pool/close_pool_ledger_after_reopen_pool_test.py | hyperledger-archives/indy-post-install-automation | a19cb3c66f0adea6bb4c1fc20e1509cc97bd3d5f | [
"Apache-2.0"
] | 1 | 2018-02-22T10:04:41.000Z | 2018-02-22T10:04:41.000Z | test_scripts/functional_tests/pool/close_pool_ledger_after_reopen_pool_test.py | hyperledger/indy-post-install-automation | a19cb3c66f0adea6bb4c1fc20e1509cc97bd3d5f | [
"Apache-2.0"
] | 7 | 2018-01-03T20:45:48.000Z | 2019-08-12T11:02:31.000Z | """
Created on Dec 8, 2017
@author: nhan.nguyen
Verify that user can close a reopened pool ledger.
"""
| 37.509804 | 79 | 0.590695 | """
Created on Dec 8, 2017
@author: nhan.nguyen
Verify that user can close a reopened pool ledger.
"""
from indy import pool
from utilities import utils
from utilities import common, constant
from test_scripts.functional_tests.pool.pool_test_base import PoolTestBase
import pytest
class TestCloseReopenedPoolLedgerCo... | 0 | 1,546 | 0 | 33 | 0 | 0 | 0 | 68 | 161 |
5302279d5e263be1aa5efb48ba63ba98f8a24bf7 | 13,981 | py | Python | KerasMps.py | KanHarI/MatrixPowerSeries | d08f8761d32212f895a3cd0467c9a964015bc88e | [
"MIT"
] | null | null | null | KerasMps.py | KanHarI/MatrixPowerSeries | d08f8761d32212f895a3cd0467c9a964015bc88e | [
"MIT"
] | null | null | null | KerasMps.py | KanHarI/MatrixPowerSeries | d08f8761d32212f895a3cd0467c9a964015bc88e | [
"MIT"
] | null | null | null |
# This layer represets a power series
# a_0*I+a_1*X+a_2*X^2+...+a_n*X^n
# Where X is a complex input matrix, and the coefficients a_n are complex.
# The optimized weights of this layer are the coefficients.
# Input shape: [?(batch_size), 2(0=real\1=imag), n, n] (n is the size of input matrices)
# Output shape: same as... | 38.621547 | 118 | 0.609685 |
from keras.engine.topology import Layer
from keras import backend as K
import tensorflow as tf
import numpy as np
import random
import math
import ComplexTensor as ct
def factorial_decaying_random_init(shape):
# Decay by one over factorial, inspired by the taylor expansion of the exponent function
res = np.z... | 0 | 0 | 0 | 10,343 | 0 | 1,689 | 0 | 13 | 380 |
b0be46f19793dfd79ded724164d81438c56fa5b5 | 6,790 | py | Python | model_sandbox/model_nn_controller_service/train.py | surfertas/amr_core | 100ebaf149558611e1b406392ffd49e71dad9b69 | [
"MIT"
] | 4 | 2018-02-28T15:36:45.000Z | 2020-12-07T19:17:03.000Z | model_sandbox/model_nn_controller_service/train.py | surfertas/amr_core | 100ebaf149558611e1b406392ffd49e71dad9b69 | [
"MIT"
] | 2 | 2018-02-26T06:24:12.000Z | 2018-04-01T06:53:10.000Z | model_sandbox/model_nn_controller_service/train.py | surfertas/amr_core | 100ebaf149558611e1b406392ffd49e71dad9b69 | [
"MIT"
] | 1 | 2021-09-07T11:04:39.000Z | 2021-09-07T11:04:39.000Z | # @author Tasuku Miura
# @brief Training for controller to output steering and throttle commands given
# an image taken from a monocular camera. (Assumes CUDA enabled)
# python train.py --root-dir /home/ubuntu/ws/amr_core/model_sandbox/model_nn_controller_service/data
# put images and pickle file in ./data
# TODO: save... | 35.736842 | 100 | 0.665832 | # @author Tasuku Miura
# @brief Training for controller to output steering and throttle commands given
# an image taken from a monocular camera. (Assumes CUDA enabled)
# python train.py --root-dir /home/ubuntu/ws/amr_core/model_sandbox/model_nn_controller_service/data
# put images and pickle file in ./data
# TODO: save... | 0 | 0 | 0 | 0 | 0 | 4,196 | 0 | 111 | 403 |
90bc1b1cdc5c031399541ab62ec7874f6ce72ff0 | 434 | py | Python | obsim/config/observing_bands.py | fjfaggingerauer/obsim | a5a9a48841fc13e822fbbfbbd0fb0fd0953cdd5a | [
"MIT"
] | null | null | null | obsim/config/observing_bands.py | fjfaggingerauer/obsim | a5a9a48841fc13e822fbbfbbd0fb0fd0953cdd5a | [
"MIT"
] | null | null | null | obsim/config/observing_bands.py | fjfaggingerauer/obsim | a5a9a48841fc13e822fbbfbbd0fb0fd0953cdd5a | [
"MIT"
] | null | null | null | __all__ = ['observing_bands']
import astropy.units as u
observing_bands = {
'U' : (365*u.nm, 66*u.nm),
'B' : (445*u.nm, 94*u.nm),
'G' : (464*u.nm, 128*u.nm),
'V' : (551*u.nm, 88*u.nm),
'R' : (658*u.nm, 138*u.nm),
'I' : (806*u.nm, 149*u.nm),
'Y' : (1020*u.nm, 120*u.nm),
'J' : (1220*u.nm... | 24.111111 | 32 | 0.467742 | __all__ = ['observing_bands']
import astropy.units as u
observing_bands = {
'U' : (365*u.nm, 66*u.nm),
'B' : (445*u.nm, 94*u.nm),
'G' : (464*u.nm, 128*u.nm),
'V' : (551*u.nm, 88*u.nm),
'R' : (658*u.nm, 138*u.nm),
'I' : (806*u.nm, 149*u.nm),
'Y' : (1020*u.nm, 120*u.nm),
'J' : (1220*u.nm... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b52ab56e96428cb2e4a00578d5eae43fd5a5677f | 3,159 | py | Python | Adventure-Project/Main.py | MatthewGraber/Portfolio | 333237de1efd7de4465614e15c1285a23cab0be7 | [
"MIT"
] | null | null | null | Adventure-Project/Main.py | MatthewGraber/Portfolio | 333237de1efd7de4465614e15c1285a23cab0be7 | [
"MIT"
] | null | null | null | Adventure-Project/Main.py | MatthewGraber/Portfolio | 333237de1efd7de4465614e15c1285a23cab0be7 | [
"MIT"
] | null | null | null |
# Will change to initialize to 'None' after more testing and whatnot is done
# GlobalVariables.PC = Character.Rogue()
# GlobalVariables.Enemy = Enemies.Chimera()
# Resets the game
# Each .py file should have a reset function that gets called here
if (__name__ == "__main__"):
main() | 33.967742 | 145 | 0.716049 | import GlobalVariables
import Character, Enemies, Encounters
import AdventureMap
import Actions
import gui
import NPCs
import tkinter
import Conditions
# Will change to initialize to 'None' after more testing and whatnot is done
# GlobalVariables.PC = Character.Rogue()
# GlobalVariables.Enemy = Enemies.... | 0 | 0 | 0 | 0 | 0 | 2,600 | 0 | -24 | 283 |
868fb40951fb9bcc5e105ed27a289b96298fe4cb | 2,171 | py | Python | src/pysem/sense.py | lingpy/pysen | 2b4cb66ed2d56f05a73ef4d4940cebf435e6e5a7 | [
"MIT"
] | 1 | 2020-08-17T06:52:04.000Z | 2020-08-17T06:52:04.000Z | src/pysem/sense.py | lingpy/pysem | 2b4cb66ed2d56f05a73ef4d4940cebf435e6e5a7 | [
"MIT"
] | 4 | 2021-06-02T18:31:23.000Z | 2022-01-13T19:22:28.000Z | src/pysem/sense.py | lingpy/pysen | 2b4cb66ed2d56f05a73ef4d4940cebf435e6e5a7 | [
"MIT"
] | null | null | null | """
Sense manipulations following the framework of the STARLING package.
"""
# import networkx as nx
| 31.014286 | 79 | 0.436205 | """
Sense manipulations following the framework of the STARLING package.
"""
# import networkx as nx
from pysem.data import SENSE
from collections import defaultdict
class Sense(object):
def __init__(self):
"""
Creates a sense graph upon initialization.
"""
G = {key: set() for key ... | 0 | 0 | 0 | 1,981 | 0 | 0 | 0 | 21 | 67 |
dc0e21f2d63875c49aabacfc838f0045189a5fef | 4,784 | py | Python | src/pages/SetNames.py | linjorejoy/json-testcase-generator | 872c5dd48e97746ee8f538c105611cb2395d7d22 | [
"MIT"
] | 1 | 2021-08-11T02:51:28.000Z | 2021-08-11T02:51:28.000Z | src/pages/SetNames.py | linjorejoy/json-testcase-generator | 872c5dd48e97746ee8f538c105611cb2395d7d22 | [
"MIT"
] | null | null | null | src/pages/SetNames.py | linjorejoy/json-testcase-generator | 872c5dd48e97746ee8f538c105611cb2395d7d22 | [
"MIT"
] | null | null | null |
import pages.ProcessVariables as ProcessVariables
import pages.PreviewVariables as PreviewVariables
| 29.530864 | 101 | 0.57337 | from tkinter import Frame, Label
from tkinter import StringVar
from tkinter import N, Y, SW, SE
from widgetclasses.MyLabelFrame import MyLabelFrame
from widgetclasses.MyOptionMenu import MyOptionMenu
from widgetclasses.MyButton import MyButton
from widgetclasses.MyLabel import MyLabel
from widgetclasses.DoubleScrolle... | 0 | 0 | 0 | 4,181 | 0 | 0 | 0 | 224 | 268 |
db5b3178214c83b369a1908d539a0187d4dfdc54 | 120 | py | Python | exercises/CursoemVideo/ex007.py | arthurguerra/cursoemvideo-python | 37f45ec25f422673fa9bbeee682e098f14d8ceab | [
"MIT"
] | null | null | null | exercises/CursoemVideo/ex007.py | arthurguerra/cursoemvideo-python | 37f45ec25f422673fa9bbeee682e098f14d8ceab | [
"MIT"
] | null | null | null | exercises/CursoemVideo/ex007.py | arthurguerra/cursoemvideo-python | 37f45ec25f422673fa9bbeee682e098f14d8ceab | [
"MIT"
] | null | null | null | n1 = float(input('Nota 1: '))
n2 = float(input('Nota 2: '))
m = (n1 + n2)/2
print('A mdia do aluno {:.2f}'.format(m)) | 30 | 44 | 0.566667 | n1 = float(input('Nota 1: '))
n2 = float(input('Nota 2: '))
m = (n1 + n2)/2
print('A média do aluno é {:.2f}'.format(m)) | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6498d5fe8372397f7571e4984a1962dcb8798c9f | 6,956 | py | Python | test.py | yzyouzhang/AIR-ASVspoof | b26830d56d4baa6247a72955292ad9d2a336c6f6 | [
"MIT"
] | 40 | 2020-10-30T20:41:58.000Z | 2022-03-14T05:36:47.000Z | test.py | AirLabUR/AIR-ASVspoof | b26830d56d4baa6247a72955292ad9d2a336c6f6 | [
"MIT"
] | 13 | 2020-11-01T16:58:12.000Z | 2021-12-29T16:49:36.000Z | test.py | AirLabUR/AIR-ASVspoof | b26830d56d4baa6247a72955292ad9d2a336c6f6 | [
"MIT"
] | 18 | 2020-12-23T09:03:12.000Z | 2022-03-30T10:20:33.000Z | import argparse
import os
import torch
import torch.nn as nn
if __name__ == "__main__":
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument('-m', '--model_dir', type=str, help="path to the trained model", default="./models/ocsoftmax")
parser.add_argument('-l', '--loss', type=str, def... | 46.684564 | 133 | 0.636141 | import argparse
import os
import torch
from torch.utils.data import DataLoader
import torch.nn as nn
import torch.nn.functional as F
from dataset import ASVspoof2019
from evaluate_tDCF_asvspoof19 import compute_eer_and_tdcf
from tqdm import tqdm
import eval_metrics as em
import numpy as np
def test_model(feat_model_pa... | 0 | 0 | 0 | 0 | 0 | 5,779 | 0 | 76 | 223 |
308b220de68d603d9b2db4d133efa6beac43dfb6 | 2,578 | py | Python | evaluation/utils.py | ETHmodlab/de_novo_design_RNN | 622628317c2ee6545eea9643767216904a7d7415 | [
"MIT"
] | 6 | 2022-01-02T12:49:17.000Z | 2022-02-27T17:10:48.000Z | evaluation/utils.py | molML/de_novo_design_RNN | e4e2dc1a791e0a7af92c8767cf6f12fb44f0f42c | [
"MIT"
] | null | null | null | evaluation/utils.py | molML/de_novo_design_RNN | e4e2dc1a791e0a7af92c8767cf6f12fb44f0f42c | [
"MIT"
] | 3 | 2021-03-16T19:05:05.000Z | 2021-11-11T07:24:42.000Z | # utilities to generate molecules with this repo.
# v1. Dec 2020, F. Grisoni
| 40.920635 | 169 | 0.687742 | # utilities to generate molecules with this repo.
# v1. Dec 2020, F. Grisoni
def make_config(model_type='BIMODAL', net_size=512, epochs=10, starting_point='random', fine_tuning='fine_tuning', n_sampling=1000, T_sampling=0.7,augmentation_level=1):
# writes the configuration file for fine-tuning depending on user-de... | 0 | 0 | 0 | 0 | 0 | 2,477 | 0 | 0 | 23 |
340c5b3222ddc720364f924508c5460c1a49982b | 2,590 | py | Python | event_chain/app/models/mobile.py | ArcBlock/event-chain | 50a37c76ab094386fc66c985f4174f8dabc98ad5 | [
"MIT"
] | null | null | null | event_chain/app/models/mobile.py | ArcBlock/event-chain | 50a37c76ab094386fc66c985f4174f8dabc98ad5 | [
"MIT"
] | null | null | null | event_chain/app/models/mobile.py | ArcBlock/event-chain | 50a37c76ab094386fc66c985f4174f8dabc98ad5 | [
"MIT"
] | null | null | null | import logging
logger = logging.getLogger('model-mobile')
| 31.585366 | 78 | 0.584942 | import base64
import json
import logging
import base58
from forge_sdk import protos as forge_protos
from forge_sdk import utils as forge_utils
logger = logging.getLogger('model-mobile')
class WalletResponse:
def __init__(self, response):
self.response = response
self.user_info = response.get('u... | 0 | 0 | 0 | 2,377 | 0 | 0 | 0 | 18 | 135 |
3075f003af9b01017b421ee8ca69f17356c3e8a2 | 18,001 | py | Python | lampy/semantic.py | pyccel/lampy | 696f65218f251095054003e87f8c05324be02a29 | [
"MIT"
] | 1 | 2019-04-12T21:41:32.000Z | 2019-04-12T21:41:32.000Z | lampy/semantic.py | pyccel/lampy | 696f65218f251095054003e87f8c05324be02a29 | [
"MIT"
] | null | null | null | lampy/semantic.py | pyccel/lampy | 696f65218f251095054003e87f8c05324be02a29 | [
"MIT"
] | null | null | null | # coding: utf-8
#=========================================================================
#=========================================================================
# TODO add some verifications before starting annotating L
| 30.355818 | 96 | 0.598745 | # coding: utf-8
import os
from os.path import join, dirname
from sympy import Symbol, Lambda, Function, Dummy
from sympy import Tuple, IndexedBase
from sympy.core.function import AppliedUndef
from sympy.core.function import UndefinedFunction
from sympy import Integer, Float
from sympy import sympify
from sympy import... | 0 | 352 | 0 | 15,221 | 0 | 694 | 0 | 730 | 774 |
baa49fa64ab53b5b85149b7b0e2a33494d10098b | 2,604 | py | Python | process.py | ervbrian/GpxProcessor | 4f15ea0548b6d601b4eaaa3d38888b20e9c9ae28 | [
"MIT"
] | null | null | null | process.py | ervbrian/GpxProcessor | 4f15ea0548b6d601b4eaaa3d38888b20e9c9ae28 | [
"MIT"
] | null | null | null | process.py | ervbrian/GpxProcessor | 4f15ea0548b6d601b4eaaa3d38888b20e9c9ae28 | [
"MIT"
] | null | null | null |
GPX = "GPX"
if __name__ == "__main__":
main()
| 37.2 | 124 | 0.682028 | import argparse
import os
from multiprocessing.pool import ThreadPool
from utils.backend import HikeDBClient, update_db
from utils.combine_gpx import CombineGpx
from utils.gpx_import import GpxImport
from utils.plotting import plot_elevation, plot_coordinates, plot_heart_rate
from utils.report import render_html
GPX... | 0 | 0 | 0 | 0 | 0 | 2,187 | 0 | 138 | 223 |
469ec131a089da59dfea02fbcbd86bac2621a4f7 | 8,534 | py | Python | pipe-cli/src/utilities/pipe_shell.py | madmongoose/cloud-pipeline | e4e85faeee895373480f3bfa389eae1bed0db6e8 | [
"Apache-2.0"
] | null | null | null | pipe-cli/src/utilities/pipe_shell.py | madmongoose/cloud-pipeline | e4e85faeee895373480f3bfa389eae1bed0db6e8 | [
"Apache-2.0"
] | null | null | null | pipe-cli/src/utilities/pipe_shell.py | madmongoose/cloud-pipeline | e4e85faeee895373480f3bfa389eae1bed0db6e8 | [
"Apache-2.0"
] | null | null | null | # Copyright 2017-2019 EPAM Systems, Inc. (https://www.epam.com/)
#
# 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 appli... | 35.707113 | 117 | 0.620342 | # Copyright 2017-2019 EPAM Systems, Inc. (https://www.epam.com/)
#
# 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 appli... | 0 | 0 | 0 | 0 | 0 | 6,890 | 0 | -61 | 390 |
e9faf4d2308d5743525c61401b5134006844edbd | 171 | py | Python | cgxsh_edit_config.py | ebob9/cgxsh | 0682922bae4354d2e306147e314dd309da968059 | [
"MIT"
] | null | null | null | cgxsh_edit_config.py | ebob9/cgxsh | 0682922bae4354d2e306147e314dd309da968059 | [
"MIT"
] | 3 | 2020-02-10T00:01:18.000Z | 2022-03-28T00:26:45.000Z | cgxsh_edit_config.py | ebob9/cgxsh | 0682922bae4354d2e306147e314dd309da968059 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
from cgxsh_lib.file_crypto import edit_config_file
if __name__ == '__main__':
sys.exit(edit_config_file())
| 19 | 50 | 0.71345 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
from cgxsh_lib.file_crypto import edit_config_file
if __name__ == '__main__':
sys.exit(edit_config_file())
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ce26d3a18a902cb650143b53d2f13fcece06ffe4 | 536 | py | Python | node_manager/migrations/0005_auto_20190123_2041.py | Jennypies/catnet | 8c715e1ad638c9843e116b3c3926163b7dde1618 | [
"MIT"
] | null | null | null | node_manager/migrations/0005_auto_20190123_2041.py | Jennypies/catnet | 8c715e1ad638c9843e116b3c3926163b7dde1618 | [
"MIT"
] | null | null | null | node_manager/migrations/0005_auto_20190123_2041.py | Jennypies/catnet | 8c715e1ad638c9843e116b3c3926163b7dde1618 | [
"MIT"
] | null | null | null | # Generated by Django 2.1.4 on 2019-01-23 20:41
| 23.304348 | 71 | 0.585821 | # Generated by Django 2.1.4 on 2019-01-23 20:41
from django.conf import settings
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('node_manager', '0004_auto_20190123_2035'),
]
operations = [
migrations.DeleteModel(
... | 0 | 0 | 0 | 382 | 0 | 0 | 0 | 30 | 73 |