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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
23944dce2a5292a5f4dccddbeb6c459b0db88881 | 821 | py | Python | punk/aggregator/aggregateByDateTimeCategory.py | NewKnowledge/punk | 53007a38433023f9a9f5cf39786b1c5a28f1f996 | [
"MIT"
] | 2 | 2017-08-23T16:58:01.000Z | 2020-07-03T01:53:34.000Z | punk/aggregator/aggregateByDateTimeCategory.py | NewKnowledge/punk | 53007a38433023f9a9f5cf39786b1c5a28f1f996 | [
"MIT"
] | 11 | 2017-08-18T17:19:21.000Z | 2022-03-18T15:54:40.000Z | punk/aggregator/aggregateByDateTimeCategory.py | NewKnowledge/punk | 53007a38433023f9a9f5cf39786b1c5a28f1f996 | [
"MIT"
] | 2 | 2017-09-11T19:38:04.000Z | 2020-05-28T00:58:05.000Z | import pandas as pd
from typing import List, NamedTuple
from .timeseries import agg_by_category_by_date
from primitive_interfaces.base import PrimitiveBase
| 28.310345 | 94 | 0.65408 |
2395f7861779117a4a46333dc411993e7c87448d | 2,723 | py | Python | algorithm/leetcode/2018-03-25.py | mhoonjeon/problemsolving | f47ff41b03ce406b26ea36be602c0aa14ac7ccf1 | [
"MIT"
] | null | null | null | algorithm/leetcode/2018-03-25.py | mhoonjeon/problemsolving | f47ff41b03ce406b26ea36be602c0aa14ac7ccf1 | [
"MIT"
] | null | null | null | algorithm/leetcode/2018-03-25.py | mhoonjeon/problemsolving | f47ff41b03ce406b26ea36be602c0aa14ac7ccf1 | [
"MIT"
] | null | null | null | # 804. Unique Morse Code Words
""" https://leetcode.com/problems/unique-morse-code-words/discuss/120675/\
Easy-and-Concise-Solution-C++JavaPython
def uniqueMorseRepresentations(self, words):
d = [".-", "-...", "-.-.", "-..", ".", "..-.", "--.", "....", "..", ".---",
"-.-", ".-..", "--", "-.", "---"... | 27.785714 | 79 | 0.480353 |
2396d1a675b3960ca8025853ba1b4a50d69159c9 | 19,779 | py | Python | pygna/block_model.py | Gee-3/pygna | 61f2128e918e423fef73d810e0c3af5761933096 | [
"MIT"
] | 32 | 2019-07-11T22:58:14.000Z | 2022-03-04T19:34:55.000Z | pygna/block_model.py | Gee-3/pygna | 61f2128e918e423fef73d810e0c3af5761933096 | [
"MIT"
] | 3 | 2021-05-24T14:03:13.000Z | 2022-01-07T03:47:32.000Z | pygna/block_model.py | Gee-3/pygna | 61f2128e918e423fef73d810e0c3af5761933096 | [
"MIT"
] | 5 | 2019-07-24T09:38:07.000Z | 2021-12-30T09:20:20.000Z | import networkx as nx
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
import numpy as np
import logging
from pygna import output
from pygna.utils import YamlConfig
import pandas as pd
import random
import string
import seaborn as sns
import pygna.output as output
def generate_graph_from_sm(n_... | 36.027322 | 258 | 0.590323 |
23971993e9893cd5f385730b84276166fd285f88 | 184 | py | Python | printshops/apps.py | amid-africa/photoorder | 407cf58b3dbd3e2144a8533f489889295f946776 | [
"MIT"
] | null | null | null | printshops/apps.py | amid-africa/photoorder | 407cf58b3dbd3e2144a8533f489889295f946776 | [
"MIT"
] | null | null | null | printshops/apps.py | amid-africa/photoorder | 407cf58b3dbd3e2144a8533f489889295f946776 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
| 18.4 | 34 | 0.684783 |
2398b8c755adf06d3f7f1e5cae4d4aedb1f1899b | 443 | py | Python | class/lect/Lect-17/pd1.py | MikenzieAlasca/F21-1010 | a7c15b8d9bf84f316aa6921f6d8a588c513a22b8 | [
"MIT"
] | 5 | 2021-09-09T21:08:14.000Z | 2021-12-14T02:30:52.000Z | class/lect/Lect-17/pd1.py | MikenzieAlasca/F21-1010 | a7c15b8d9bf84f316aa6921f6d8a588c513a22b8 | [
"MIT"
] | null | null | null | class/lect/Lect-17/pd1.py | MikenzieAlasca/F21-1010 | a7c15b8d9bf84f316aa6921f6d8a588c513a22b8 | [
"MIT"
] | 8 | 2021-09-09T17:46:07.000Z | 2022-02-08T22:41:35.000Z | import pandas as pd
people_dict = {
"weight": pd.Series([145, 182, 191],index=["joan", "bob", "mike"]),
"birthyear": pd.Series([2002, 2000, 1999], index=["bob", "joan", "mike"], name="year"),
"children": pd.Series([1, 2], index=["mike", "bob"]),
"hobby": pd.Series(["Rock Climbing", "S... | 31.642857 | 104 | 0.557562 |
239de3aa205a8c68e33dedf541996817e27acfa5 | 3,440 | py | Python | virtualsmartcard-0.8/src/vpicc/virtualsmartcard/tests/SmartcardSAM_test.py | CMelas/foo | d7a34b24606c7b9ab04ea8c39a8b3716ca6255c1 | [
"MIT"
] | 1 | 2021-11-09T12:01:56.000Z | 2021-11-09T12:01:56.000Z | virtualsmartcard-0.8/src/vpicc/virtualsmartcard/tests/SmartcardSAM_test.py | CMelas/foo | d7a34b24606c7b9ab04ea8c39a8b3716ca6255c1 | [
"MIT"
] | null | null | null | virtualsmartcard-0.8/src/vpicc/virtualsmartcard/tests/SmartcardSAM_test.py | CMelas/foo | d7a34b24606c7b9ab04ea8c39a8b3716ca6255c1 | [
"MIT"
] | null | null | null | #
# Copyright (C) 2014 Dominik Oepen
#
# This file is part of virtualsmartcard.
#
# virtualsmartcard is free software: you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the Free
# Software Foundation, either version 3 of the License, or (at your option) any
# l... | 40 | 79 | 0.670058 |
239ed9095bc55c203b6c4b8328d5c14492d59001 | 6,762 | py | Python | test/phagesExperiment/runTableCases.py | edsaac/bioparticle | 67e191329ef191fc539b290069524b42fbaf7e21 | [
"MIT"
] | null | null | null | test/phagesExperiment/runTableCases.py | edsaac/bioparticle | 67e191329ef191fc539b290069524b42fbaf7e21 | [
"MIT"
] | 1 | 2020-09-25T23:31:21.000Z | 2020-09-25T23:31:21.000Z | test/phagesExperiment/runTableCases.py | edsaac/VirusTransport_RxSandbox | 67e191329ef191fc539b290069524b42fbaf7e21 | [
"MIT"
] | 1 | 2021-09-30T05:00:58.000Z | 2021-09-30T05:00:58.000Z | ###############################################################
# _ _ _ _ _
# | |__ (_) ___ _ __ __ _ _ __| |_(_) ___| | ___
# | '_ \| |/ _ \| '_ \ / _` | '__| __| |/ __| |/ _ \
# | |_) | | (_) | |_) | (_| | | | |_| | (__| | __/
# |_.__/|_|\___/| .__/ \__,_|_| \__|_|\___|_|\___... | 34.676923 | 106 | 0.603963 |
239f83a7c0d314a200223629c25572a463600e23 | 593 | py | Python | mongo_list_temp.py | ScottStanton/mqtt_temp_mongo_web | 76d59910f132fea9724b86aebfcef04b61789b8d | [
"Unlicense"
] | null | null | null | mongo_list_temp.py | ScottStanton/mqtt_temp_mongo_web | 76d59910f132fea9724b86aebfcef04b61789b8d | [
"Unlicense"
] | null | null | null | mongo_list_temp.py | ScottStanton/mqtt_temp_mongo_web | 76d59910f132fea9724b86aebfcef04b61789b8d | [
"Unlicense"
] | null | null | null | #!/usr/bin/python3
#
# This software is covered by The Unlicense license
#
import os, pymongo, sys
if __name__ == '__main__':
try:
main()
except KeyboardInterrupt:
print('Interrupted')
try:
sys.exit(0)
except SystemExit:
os._exit(0)
| 17.969697 | 64 | 0.60371 |
23a0582a156a5116f9a3e62beef47135533e30c9 | 203 | py | Python | tests/decisionreqdef/test_module.py | fasfoxcom/pycamunda | 6bbebe1db40ce9fb29a9d420366e6dca1892df7b | [
"MIT"
] | null | null | null | tests/decisionreqdef/test_module.py | fasfoxcom/pycamunda | 6bbebe1db40ce9fb29a9d420366e6dca1892df7b | [
"MIT"
] | null | null | null | tests/decisionreqdef/test_module.py | fasfoxcom/pycamunda | 6bbebe1db40ce9fb29a9d420366e6dca1892df7b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
| 22.555556 | 49 | 0.73399 |
23a2a97bb6db12d817c114dd0b13665cae319c12 | 2,185 | py | Python | second/pytorch/models/fusion.py | RickOnEarth/pointpillars_based_CLOCs | c6d4576a151540200dac2354b00dc4ecce6ee72d | [
"MIT"
] | 2 | 2022-01-05T08:41:38.000Z | 2022-02-14T01:30:08.000Z | second/pytorch/models/fusion.py | RickOnEarth/pointpillars_based_CLOCs | c6d4576a151540200dac2354b00dc4ecce6ee72d | [
"MIT"
] | 1 | 2022-03-28T03:23:36.000Z | 2022-03-28T03:23:36.000Z | second/pytorch/models/fusion.py | RickOnEarth/pointpillars_based_CLOCs | c6d4576a151540200dac2354b00dc4ecce6ee72d | [
"MIT"
] | 2 | 2022-01-07T05:56:43.000Z | 2022-02-16T13:26:13.000Z | import time
import torch
from torch import nn
from torch.nn import functional as F
#import spconv
import torchplus
from torchplus.nn import Empty, GroupNorm, Sequential
from torchplus.ops.array_ops import gather_nd, scatter_nd
from torchplus.tools import change_default_args
import sys
if '/opt/ros/kinetic/lib/python2.... | 33.106061 | 92 | 0.556522 |
23a456677b9384e5a17f6de8dcdc1e93e2a745f9 | 3,001 | py | Python | pdf_lines_gluer.py | serge-sotnyk/pdf-lines-gluer | b44284a28e4bce377d683ab8d6f820e704c630cb | [
"MIT"
] | 1 | 2021-04-16T13:05:20.000Z | 2021-04-16T13:05:20.000Z | pdf_lines_gluer.py | serge-sotnyk/pdf-lines-gluer | b44284a28e4bce377d683ab8d6f820e704c630cb | [
"MIT"
] | null | null | null | pdf_lines_gluer.py | serge-sotnyk/pdf-lines-gluer | b44284a28e4bce377d683ab8d6f820e704c630cb | [
"MIT"
] | 2 | 2019-06-24T06:45:46.000Z | 2019-06-28T19:43:20.000Z | import string
from typing import List, Dict
# inject code here #
_HYPHEN_CHARS = {
'\u002D', # HYPHEN-MINUS
'\u00AD', # SOFT HYPHEN
'\u2010', # HYPHEN
'\u2011', # NON-BREAKING HYPHEN
}
| 26.557522 | 97 | 0.55115 |
23a5398ab784fc5aa194816a75732cc159a8849f | 1,241 | py | Python | backend/thing/urls.py | thuong-lino/thing | e45d8f197896f4ab9b52dec0a85169396fff629a | [
"MIT"
] | null | null | null | backend/thing/urls.py | thuong-lino/thing | e45d8f197896f4ab9b52dec0a85169396fff629a | [
"MIT"
] | null | null | null | backend/thing/urls.py | thuong-lino/thing | e45d8f197896f4ab9b52dec0a85169396fff629a | [
"MIT"
] | null | null | null | from django.conf.urls import include
from django.urls import path
from django.contrib import admin
from users.views import FacebookLogin
import django_js_reverse.views
from rest_framework.routers import DefaultRouter
from common.routes import routes as common_routes
router = DefaultRouter()
routes = common_routes
fo... | 37.606061 | 85 | 0.706688 |
23a5e45f9981098530b74e9239812e4a0d27fb21 | 7,302 | py | Python | core/dataset/data_loader.py | thuzhaowang/idn-solver | 7da29ce0b0bd7e76023e1cae56e3d186b324a394 | [
"MIT"
] | 22 | 2021-10-11T02:31:52.000Z | 2022-02-23T08:06:14.000Z | core/dataset/data_loader.py | xubin1994/idn-solver | 6b5dcfd94f35cc118c5dee0f98401e4848e670e3 | [
"MIT"
] | 4 | 2021-12-02T02:36:30.000Z | 2022-03-16T01:04:47.000Z | core/dataset/data_loader.py | xubin1994/idn-solver | 6b5dcfd94f35cc118c5dee0f98401e4848e670e3 | [
"MIT"
] | 4 | 2022-01-20T03:12:23.000Z | 2022-03-16T00:08:54.000Z | import numpy as np
from path import Path
import random
import pickle
import torch
import os
import cv2
def load_as_float(path):
"""Loads image"""
im = cv2.imread(path)
im = cv2.cvtColor(im, cv2.COLOR_BGR2RGB).astype(np.float32)
return im
| 38.840426 | 161 | 0.65037 |
23a6372b0029d78dd5def2146734771fbbe2bd48 | 1,632 | py | Python | server.py | hugoantunes/EchoServer | da4a6b8d8f4362e6770f767c8e75e80cac55d417 | [
"MIT"
] | null | null | null | server.py | hugoantunes/EchoServer | da4a6b8d8f4362e6770f767c8e75e80cac55d417 | [
"MIT"
] | null | null | null | server.py | hugoantunes/EchoServer | da4a6b8d8f4362e6770f767c8e75e80cac55d417 | [
"MIT"
] | null | null | null | import Queue
import select
import socket
from conf import ADDRESS, BACKLOG, SIZE
server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server.setblocking(0)
print 'starting up on %s port %s' % ADDRESS
server.bind(ADDRESS)
server.listen(BACKLOG)
inputs = [server]
outputs = []
message_queues = {}
while inputs:
... | 27.661017 | 76 | 0.578431 |
23a7e7e53ed3f920173ee73d17e3e8afad1d765f | 3,813 | py | Python | glue.py | mkechagia/android-survey | a1649c0fb9476fcc9fdf586ecde9da9a9a0138aa | [
"Apache-2.0"
] | 1 | 2022-01-26T08:14:24.000Z | 2022-01-26T08:14:24.000Z | glue.py | mkechagia/android-survey-tool | a1649c0fb9476fcc9fdf586ecde9da9a9a0138aa | [
"Apache-2.0"
] | null | null | null | glue.py | mkechagia/android-survey-tool | a1649c0fb9476fcc9fdf586ecde9da9a9a0138aa | [
"Apache-2.0"
] | null | null | null | import re
import copy
from collections import defaultdict
from string import Template
# initialize the dictionary for the methods with checked exceptions such as {fake method: real method}
method_dict_checked = {'deleteRecord' : 'delete', \
'editText' : 'setText_new', \
'insertData' : 'insert_new', \
'setLayout... | 34.981651 | 104 | 0.710464 |
23a85b9835619dae1db6fad9d342a22f09ccf61a | 272 | py | Python | solved_bronze/num10952.py | ilmntr/white_study | 51d69d122b07e9a0922dddb134bff4ec79077eb9 | [
"MIT"
] | null | null | null | solved_bronze/num10952.py | ilmntr/white_study | 51d69d122b07e9a0922dddb134bff4ec79077eb9 | [
"MIT"
] | null | null | null | solved_bronze/num10952.py | ilmntr/white_study | 51d69d122b07e9a0922dddb134bff4ec79077eb9 | [
"MIT"
] | null | null | null | # a = 1
# b = 1
# while (not ((a==0) and (b==0))):
# a, b = map(int, input().split())
# print(a+b)
while True:
a, b = map(int, input().split())
if a == 0 and b == 0:
break
print(a+b) | 17 | 42 | 0.338235 |
23a8d2f8440fc0f4ab166887414f385e16797422 | 381 | py | Python | mac.py | focusaurus/commander | 4d511c9211ec6afcb2614e7b24b287c7c833c853 | [
"MIT",
"Unlicense"
] | 3 | 2015-10-12T21:32:37.000Z | 2021-09-16T16:51:03.000Z | mac.py | focusaurus/commander | 4d511c9211ec6afcb2614e7b24b287c7c833c853 | [
"MIT",
"Unlicense"
] | null | null | null | mac.py | focusaurus/commander | 4d511c9211ec6afcb2614e7b24b287c7c833c853 | [
"MIT",
"Unlicense"
] | null | null | null | from builtins import str
from .helpers import run
import logging
import subprocess
import functools
import types
logger = logging.getLogger("commander")
def maestro(scriptId):
"""Run a Keyboard Maestro script by ID (more robust) or name."""
run(
"""osascript -e 'tell application "Keyboard Maestro Eng... | 22.411765 | 74 | 0.67979 |
23a8d8b1cd48f9fd55d3941e62fe86313bca756e | 764 | py | Python | planning_system/db/schema/views/finance/v_ui_finance.py | jehboyes/planning_system | a415f1408ef344732498d2ffb111dfd187b9b50f | [
"MIT"
] | null | null | null | planning_system/db/schema/views/finance/v_ui_finance.py | jehboyes/planning_system | a415f1408ef344732498d2ffb111dfd187b9b50f | [
"MIT"
] | null | null | null | planning_system/db/schema/views/finance/v_ui_finance.py | jehboyes/planning_system | a415f1408ef344732498d2ffb111dfd187b9b50f | [
"MIT"
] | null | null | null | from planning_system.db.schema.views import _get_set_cols
def definition(session):
"""
Return UI view.
Complex view, which requires a dynamic pivot.
"""
pvt_list = _get_set_cols(session)
sql = f"""
SELECT costc, summary_code, summary, section, supersection, summary_order, sec_order, super... | 38.2 | 120 | 0.700262 |
23abc12980cb0a7128b692a9097ad4b745fb655b | 756 | py | Python | python/torch_helpers/trace2jit.py | zhaohb/Forward | 08c7622090ce0cdd32fe5d0b462cb63258ce0a75 | [
"BSD-3-Clause"
] | 1 | 2021-03-24T11:49:35.000Z | 2021-03-24T11:49:35.000Z | python/torch_helpers/trace2jit.py | zhaohb/Forward | 08c7622090ce0cdd32fe5d0b462cb63258ce0a75 | [
"BSD-3-Clause"
] | null | null | null | python/torch_helpers/trace2jit.py | zhaohb/Forward | 08c7622090ce0cdd32fe5d0b462cb63258ce0a75 | [
"BSD-3-Clause"
] | null | null | null | import torch
import torchvision.models as models
'''
Description:
convert torch module to JIT TracedModule.
torch JIT TracedModule
'''
if __name__ == "__main__":
dummy_input = torch.randn(1, 3, 224, 224) # dummy_input is customized by user
model = models.resnet18(pretrained=True) # model is cu... | 28 | 81 | 0.718254 |
23ad1135866d4f8277494a12a0ed3be2f1311aa3 | 9,739 | py | Python | CppSimShared/Python/cppsimdata.py | silicon-vlsi-org/eda-sue2Plus | 83a2afa9c80308d5afe07a3fa0214d8412addb6d | [
"MIT"
] | 1 | 2021-05-30T13:27:33.000Z | 2021-05-30T13:27:33.000Z | CppSimShared/Python/cppsimdata.py | silicon-vlsi-org/eda-sue2Plus | 83a2afa9c80308d5afe07a3fa0214d8412addb6d | [
"MIT"
] | null | null | null | CppSimShared/Python/cppsimdata.py | silicon-vlsi-org/eda-sue2Plus | 83a2afa9c80308d5afe07a3fa0214d8412addb6d | [
"MIT"
] | null | null | null | # cppsimdata.py
# written by Michael H. Perrott
# with minor modifications by Doug Pastorello to work with both Python 2.7 and Python 3.4
# available at www.cppsim.com as part of the CppSim package
# Copyright (c) 2013-2017 by Michael H. Perrott
# This file is disributed under the MIT license (see Copying file)
impo... | 38.800797 | 149 | 0.629736 |
23aebda5722243d52ce15ff9c4cb52dbd5434d9f | 1,217 | py | Python | waferscreen/data_io/exceptions.py | chw3k5/WaferScreen | c0ca7fe939fe7cd0b722b7d6129b148c03a7505c | [
"Apache-2.0"
] | 1 | 2021-07-30T19:06:07.000Z | 2021-07-30T19:06:07.000Z | waferscreen/data_io/exceptions.py | chw3k5/WaferScreen | c0ca7fe939fe7cd0b722b7d6129b148c03a7505c | [
"Apache-2.0"
] | 8 | 2021-04-22T20:47:48.000Z | 2021-07-30T19:06:01.000Z | waferscreen/data_io/exceptions.py | chw3k5/WaferScreen | c0ca7fe939fe7cd0b722b7d6129b148c03a7505c | [
"Apache-2.0"
] | null | null | null |
# Lambda processing
| 30.425 | 101 | 0.758422 |
23b3590bb9d68aac5032da0773011d5e1741a6b6 | 5,977 | py | Python | notify/handlers.py | marzocchi/iterm-notify | 5e587213ca89c0361a39c785fa4560fda275052f | [
"MIT"
] | 28 | 2019-12-01T21:45:28.000Z | 2021-05-05T17:46:09.000Z | notify/handlers.py | marzocchi/iterm-notify | 5e587213ca89c0361a39c785fa4560fda275052f | [
"MIT"
] | null | null | null | notify/handlers.py | marzocchi/iterm-notify | 5e587213ca89c0361a39c785fa4560fda275052f | [
"MIT"
] | 2 | 2020-08-04T12:55:04.000Z | 2020-12-20T22:23:47.000Z | import logging
from datetime import datetime
from typing import List
from notify.backends import BackendFactory
from notify.commands import Command
from notify.config import Config, Stack
from notify.notifications import Factory, Notification
from notify.strategies import StrategyFactory
| 42.091549 | 115 | 0.736657 |
23b5a122ef2746145b44e7be72e1b2d49508e86c | 254 | py | Python | submissions/Coomber/myLogic.py | omarmartinez97/aima-python | c8d5aa86382fb72e9ddec4938706599fee439bbb | [
"MIT"
] | null | null | null | submissions/Coomber/myLogic.py | omarmartinez97/aima-python | c8d5aa86382fb72e9ddec4938706599fee439bbb | [
"MIT"
] | null | null | null | submissions/Coomber/myLogic.py | omarmartinez97/aima-python | c8d5aa86382fb72e9ddec4938706599fee439bbb | [
"MIT"
] | null | null | null | technology = {
'kb': '''
Oculus(rift)
HTC(vive)
VR(Zuck, rift)
VR(Gabe, vive)
(Oculus(O) & HTC(H)) ==> Dominates(H, O)
(VR(V)) ==> Technology(T)
''',
'queries':'''
VR(x)
Dominates(x, y)
''',
}
Examples = {
'technology': technology,
} | 14.111111 | 40 | 0.527559 |
23ba2ecb3b446799d3bd04447ada1a6c88421c82 | 8,113 | py | Python | sdk/python/feast/loaders/ingest.py | wzpy/feast | 06fe09b7047fe370cbf63555cec1ba820f1e7267 | [
"Apache-2.0"
] | 1 | 2019-12-12T13:21:56.000Z | 2019-12-12T13:21:56.000Z | sdk/python/feast/loaders/ingest.py | wzpy/feast | 06fe09b7047fe370cbf63555cec1ba820f1e7267 | [
"Apache-2.0"
] | null | null | null | sdk/python/feast/loaders/ingest.py | wzpy/feast | 06fe09b7047fe370cbf63555cec1ba820f1e7267 | [
"Apache-2.0"
] | null | null | null | import logging
import multiprocessing
import os
import time
from functools import partial
from multiprocessing import Process, Queue, Pool
from typing import Iterable
import pandas as pd
import pyarrow as pa
from feast.feature_set import FeatureSet
from feast.type_map import convert_dict_to_proto_values
from feast.type... | 31.815686 | 103 | 0.646986 |
23bb7ae2de638bcc64e1ae2469bf78db888b942c | 389 | py | Python | 1stRound/Easy/389 Find the Difference/Counter.py | ericchen12377/Leetcode-Algorithm-Python | eb58cd4f01d9b8006b7d1a725fc48910aad7f192 | [
"MIT"
] | 2 | 2020-04-24T18:36:52.000Z | 2020-04-25T00:15:57.000Z | 1stRound/Easy/389 Find the Difference/Counter.py | ericchen12377/Leetcode-Algorithm-Python | eb58cd4f01d9b8006b7d1a725fc48910aad7f192 | [
"MIT"
] | null | null | null | 1stRound/Easy/389 Find the Difference/Counter.py | ericchen12377/Leetcode-Algorithm-Python | eb58cd4f01d9b8006b7d1a725fc48910aad7f192 | [
"MIT"
] | null | null | null | import collections
s = "abcd"
t = "abcde"
p = Solution()
print(p.findTheDifference(s,t)) | 24.3125 | 71 | 0.539846 |
23bbe8dfe70d77ea6c966fa54a0f12dbc414a437 | 16,580 | py | Python | sdk/python/pulumi_azure/lb/backend_address_pool_address.py | henriktao/pulumi-azure | f1cbcf100b42b916da36d8fe28be3a159abaf022 | [
"ECL-2.0",
"Apache-2.0"
] | 109 | 2018-06-18T00:19:44.000Z | 2022-02-20T05:32:57.000Z | sdk/python/pulumi_azure/lb/backend_address_pool_address.py | henriktao/pulumi-azure | f1cbcf100b42b916da36d8fe28be3a159abaf022 | [
"ECL-2.0",
"Apache-2.0"
] | 663 | 2018-06-18T21:08:46.000Z | 2022-03-31T20:10:11.000Z | sdk/python/pulumi_azure/lb/backend_address_pool_address.py | henriktao/pulumi-azure | f1cbcf100b42b916da36d8fe28be3a159abaf022 | [
"ECL-2.0",
"Apache-2.0"
] | 41 | 2018-07-19T22:37:38.000Z | 2022-03-14T10:56:26.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... | 47.643678 | 282 | 0.68076 |
23bd05e550888fff887e56ad22915b9704444c37 | 4,136 | py | Python | submission.py | Amar1729/Liked-Saved-Image-Downloader | 48c17d8cb0cdce3bf7ebab16729510be11f51013 | [
"MIT"
] | 60 | 2015-12-04T20:11:23.000Z | 2019-03-17T20:00:56.000Z | submission.py | Amar1729/Liked-Saved-Image-Downloader | 48c17d8cb0cdce3bf7ebab16729510be11f51013 | [
"MIT"
] | 68 | 2019-03-22T01:07:32.000Z | 2021-07-02T04:48:57.000Z | submission.py | Amar1729/Liked-Saved-Image-Downloader | 48c17d8cb0cdce3bf7ebab16729510be11f51013 | [
"MIT"
] | 19 | 2015-09-15T17:30:29.000Z | 2019-03-17T18:05:30.000Z | # -*- coding: utf-8 -*-
import pickle
import os
# third-party imports
import jsonpickle
def writeOutSubmissionsAsJson(redditList, file):
file.write('{\n'.encode('utf8'))
for submission in redditList:
outputString = submission.getJson() + u',\n'
file.write(outputString.encode('utf8'))
file... | 30.637037 | 100 | 0.604691 |
23bd7796ce5dbbe94cd644365987adb6f71698db | 191 | py | Python | mtga_event_prize_level.py | everybodyeverybody/mtga_earnings_calculator | 4be67e37299c122eba110eb07308426d8078c645 | [
"MIT"
] | null | null | null | mtga_event_prize_level.py | everybodyeverybody/mtga_earnings_calculator | 4be67e37299c122eba110eb07308426d8078c645 | [
"MIT"
] | null | null | null | mtga_event_prize_level.py | everybodyeverybody/mtga_earnings_calculator | 4be67e37299c122eba110eb07308426d8078c645 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3.7
from decimal import Decimal
from collections import namedtuple
EventPrizeLevel = namedtuple(
"EventPrizeLevel", ["packs", "gems", "gold"], defaults=[0, 0, 0],
)
| 23.875 | 69 | 0.712042 |
23be2b4e5eb31b3f80e1bec885f51c83e38a6703 | 621 | py | Python | mundo_1/desafios/desafio_028.py | lvfds/Curso_Python3 | 1afb7706553a1d21d3d97e061144c5f019ca9391 | [
"MIT"
] | null | null | null | mundo_1/desafios/desafio_028.py | lvfds/Curso_Python3 | 1afb7706553a1d21d3d97e061144c5f019ca9391 | [
"MIT"
] | null | null | null | mundo_1/desafios/desafio_028.py | lvfds/Curso_Python3 | 1afb7706553a1d21d3d97e061144c5f019ca9391 | [
"MIT"
] | null | null | null | """
Escreva um programa que faa o computador 'Pensar' em um nmero inteiro entre 0 e 5
e pea para o usurio tentar descobrir qual foi o nmero escolhido pelo computador.
"""
from random import randint
numero_gerado_aleatoriamente = randint(0,5)
numero_digitado_pelo_usuario = int(input('Adivinhe qual nmero estou... | 38.8125 | 107 | 0.772947 |
23be77dcebe4a2a83f67827319e9327e25df75de | 1,699 | py | Python | exp/noise_features/models.py | WilliamCCHuang/GraphLIME | 0f89bd67865c0b4b5a93becbc03273e55c15fc68 | [
"MIT"
] | 38 | 2020-06-07T14:44:11.000Z | 2022-03-08T06:19:49.000Z | exp/noise_features/models.py | WilliamCCHuang/GraphLIME | 0f89bd67865c0b4b5a93becbc03273e55c15fc68 | [
"MIT"
] | 9 | 2020-10-22T02:38:01.000Z | 2022-03-15T09:53:30.000Z | exp/noise_features/models.py | WilliamCCHuang/GraphLIME | 0f89bd67865c0b4b5a93becbc03273e55c15fc68 | [
"MIT"
] | 6 | 2021-03-04T21:32:34.000Z | 2021-12-24T05:58:35.000Z | import torch.nn as nn
import torch.nn.functional as F
from torch_geometric.nn import GCNConv, GATConv
| 33.313725 | 116 | 0.575633 |
23c09d19f8336af168a12e16ec8d400bf72a904d | 7,740 | py | Python | nscl/nn/scene_graph/scene_graph.py | OolongQian/NSCL-PyTorch-Release | 4cf0a633ceeaa9d221d66e066ef7892c04cdf9eb | [
"MIT"
] | null | null | null | nscl/nn/scene_graph/scene_graph.py | OolongQian/NSCL-PyTorch-Release | 4cf0a633ceeaa9d221d66e066ef7892c04cdf9eb | [
"MIT"
] | null | null | null | nscl/nn/scene_graph/scene_graph.py | OolongQian/NSCL-PyTorch-Release | 4cf0a633ceeaa9d221d66e066ef7892c04cdf9eb | [
"MIT"
] | null | null | null | #! /usr/bin/env python3
# -*- coding: utf-8 -*-
# File : scene_graph.py
# Author : Jiayuan Mao
# Email : maojiayuan@gmail.com
# Date : 07/19/2018
#
# This file is part of NSCL-PyTorch.
# Distributed under terms of the MIT license.
"""
Scene Graph generation.
"""
import os
import torch
import torch.nn as nn
impo... | 47.484663 | 120 | 0.588889 |
23c22b89349457ba83481e99d719de420d9ae033 | 645 | py | Python | sitemapparser/base_data.py | frasy/site-map-parser | 7648b50a1e15777cf82a6916ef5cbb149c5e99df | [
"MIT"
] | 1 | 2021-02-11T10:03:42.000Z | 2021-02-11T10:03:42.000Z | sitemapparser/base_data.py | frasy/site-map-parser | 7648b50a1e15777cf82a6916ef5cbb149c5e99df | [
"MIT"
] | 2 | 2020-02-24T11:52:51.000Z | 2021-07-05T19:38:55.000Z | sitemapparser/base_data.py | frasy/site-map-parser | 7648b50a1e15777cf82a6916ef5cbb149c5e99df | [
"MIT"
] | 4 | 2020-02-10T14:49:41.000Z | 2021-05-07T14:41:32.000Z | import re
from abc import ABCMeta
from dateutil import parser
| 22.241379 | 77 | 0.615504 |
23c2c0ad760da305cb104343e55a702bf05d28ce | 630 | py | Python | nomad/tests/core/test_shortest_path_solver.py | romilbhardwaj/nomad | c6a8289872bfd07d1aa0b913f0aee7a2fccd5bf1 | [
"MIT"
] | 2 | 2019-02-06T19:47:48.000Z | 2019-10-30T07:30:14.000Z | nomad/tests/core/test_shortest_path_solver.py | romilbhardwaj/nomad | c6a8289872bfd07d1aa0b913f0aee7a2fccd5bf1 | [
"MIT"
] | 6 | 2019-03-21T18:29:04.000Z | 2019-04-11T18:31:34.000Z | nomad/tests/core/test_shortest_path_solver.py | romilbhardwaj/nomad | c6a8289872bfd07d1aa0b913f0aee7a2fccd5bf1 | [
"MIT"
] | null | null | null | import unittest
import networkx as nx
from core.placement.spsolver import DPShortestPathSolver
if __name__ == '__main__':
unittest.main() | 30 | 113 | 0.680952 |
23c38e57ef816e8a8c15f2598a7fb8639340906e | 1,285 | py | Python | Leetcode/medium/integer-break.py | jen-sjen/data-structures-basics-leetcode | addac32974b16e0a37aa60c210ab7820b349b279 | [
"MIT"
] | 6 | 2021-07-29T03:26:20.000Z | 2022-01-28T15:11:45.000Z | Leetcode/medium/integer-break.py | jen-sjen/data-structures-basics-leetcode | addac32974b16e0a37aa60c210ab7820b349b279 | [
"MIT"
] | 2 | 2021-09-30T09:47:23.000Z | 2022-01-31T03:08:24.000Z | Leetcode/medium/integer-break.py | jen-sjen/data-structures-basics-leetcode | addac32974b16e0a37aa60c210ab7820b349b279 | [
"MIT"
] | 5 | 2021-08-10T06:41:11.000Z | 2022-01-29T17:50:20.000Z | """
# INTEGER BREAK
Given a positive integer n, break it into the sum of at least two positive integers and maximize the product of those integers. Return the maximum product you can get.
Example 1:
Input: 2
Output: 1
Explanation: 2 = 1 + 1, 1 1 = 1.
Example 2:
Input: 10
Output: 36
Explanation: 10 = 3 + 3 + 4, 3... | 26.770833 | 167 | 0.525292 |
23c54e92e07439e85887d70b0a443815fb516d17 | 1,112 | py | Python | setup.py | daien/camocomp | aa2c1b6dd2cfe1eb166047b52d75ade5b6b8b554 | [
"BSD-3-Clause"
] | 27 | 2015-03-06T05:50:35.000Z | 2021-03-01T07:54:03.000Z | setup.py | daien/camocomp | aa2c1b6dd2cfe1eb166047b52d75ade5b6b8b554 | [
"BSD-3-Clause"
] | 2 | 2015-02-05T14:59:07.000Z | 2016-02-19T00:18:52.000Z | setup.py | daien/camocomp | aa2c1b6dd2cfe1eb166047b52d75ade5b6b8b554 | [
"BSD-3-Clause"
] | 13 | 2015-01-25T12:43:42.000Z | 2019-11-25T17:46:42.000Z | #!/usr/bin/env python
from distutils.core import setup
SHORT_DESCR = "CAmera MOtion COMPensation using image stiching techniques to generate stabilized videos"
try:
LONG_DESCR = open('README.rst').read()
except IOError:
LONG_DESCR = SHORT_DESCR
setup(
name='camocomp',
version='0.1',
author='Adri... | 30.054054 | 104 | 0.660072 |
23c622f1dbca6b4b9f0f05bf93b50ad3b73a9109 | 408 | py | Python | qiang00_before_project/qiang02_the_template/q02_add_template_filter.py | 13528770807/flask_project | 2930db1d59763b155f758ad4061a70d413bfc34d | [
"MIT"
] | null | null | null | qiang00_before_project/qiang02_the_template/q02_add_template_filter.py | 13528770807/flask_project | 2930db1d59763b155f758ad4061a70d413bfc34d | [
"MIT"
] | null | null | null | qiang00_before_project/qiang02_the_template/q02_add_template_filter.py | 13528770807/flask_project | 2930db1d59763b155f758ad4061a70d413bfc34d | [
"MIT"
] | null | null | null | from flask import Flask, render_template
app = Flask(__name__)
# app.add_template_filter(li_reverse, 'li_rv') #
if __name__ == "__main__":
app.run(debug=True)
| 17 | 59 | 0.647059 |
23c6a65b4e2832bc68e0d04d1fcc2bd1ed8f0280 | 801 | py | Python | smps/rcmod.py | BenjiStomps/py-smps | c449bbfcd748203630bc0aecf2552c8d836f827c | [
"MIT"
] | 16 | 2017-02-22T02:26:41.000Z | 2021-04-05T10:28:02.000Z | smps/rcmod.py | BenjiStomps/py-smps | c449bbfcd748203630bc0aecf2552c8d836f827c | [
"MIT"
] | 22 | 2017-02-27T21:50:45.000Z | 2021-05-21T02:31:35.000Z | smps/rcmod.py | BenjiStomps/py-smps | c449bbfcd748203630bc0aecf2552c8d836f827c | [
"MIT"
] | 8 | 2017-09-30T09:50:44.000Z | 2021-05-20T22:29:54.000Z | """"""
import matplotlib as mpl
__all__ = ["set"]
def set(tick_scale=1, rc=dict()):
"""
Control plot style and scaling using seaborn and the
matplotlib rcParams interface.
:param tick_scale: A scaler number controling the spacing
on tick marks, defaults to 1.
:type tick_scale: floa... | 26.7 | 62 | 0.601748 |
23c7aeb8b7efffbb30d83d454153984dd31f2ff4 | 169 | py | Python | Chapter 04/Chap04_Example4.28.py | Anancha/Programming-Techniques-using-Python | e80c329d2a27383909d358741a5cab03cb22fd8b | [
"MIT"
] | null | null | null | Chapter 04/Chap04_Example4.28.py | Anancha/Programming-Techniques-using-Python | e80c329d2a27383909d358741a5cab03cb22fd8b | [
"MIT"
] | null | null | null | Chapter 04/Chap04_Example4.28.py | Anancha/Programming-Techniques-using-Python | e80c329d2a27383909d358741a5cab03cb22fd8b | [
"MIT"
] | null | null | null | # M1
myresult = mul1(3)
print(myresult(7))
#M-2
mul = lambda a = 3: (lambda b: a*b)
myres = mul()
print(myres)
print(myres(7))
| 14.083333 | 35 | 0.633136 |
23c87c4cfb4e5c6fd8c9ed42a1f9fee075d07137 | 414 | py | Python | tools/generate_taint_models/parameter.py | terrorizer1980/pyre-check | 16659c7f6f19f3c364ba3a56e6c582371a8ff348 | [
"MIT"
] | 1 | 2020-08-08T16:01:55.000Z | 2020-08-08T16:01:55.000Z | tools/generate_taint_models/parameter.py | terrorizer1980/pyre-check | 16659c7f6f19f3c364ba3a56e6c582371a8ff348 | [
"MIT"
] | 4 | 2022-02-15T02:42:33.000Z | 2022-02-28T01:30:07.000Z | tools/generate_taint_models/parameter.py | terrorizer1980/pyre-check | 16659c7f6f19f3c364ba3a56e6c582371a8ff348 | [
"MIT"
] | 1 | 2020-11-22T12:08:51.000Z | 2020-11-22T12:08:51.000Z | from enum import Enum, auto
from typing import NamedTuple, Optional
| 21.789474 | 49 | 0.611111 |
23c9d0fc017e203c468d9f46add866be9898f0bd | 2,961 | py | Python | abqPython_SvM_3_SaveODB.py | jtipton2/abaqusSignedvM | 83f0577b6a3eab6d3c86a46ae110a94a7075981c | [
"BSD-3-Clause"
] | 2 | 2022-03-16T13:50:21.000Z | 2022-03-27T15:14:09.000Z | abqPython_SvM_3_SaveODB.py | jtipton2/abaqusSignedvM | 83f0577b6a3eab6d3c86a46ae110a94a7075981c | [
"BSD-3-Clause"
] | null | null | null | abqPython_SvM_3_SaveODB.py | jtipton2/abaqusSignedvM | 83f0577b6a3eab6d3c86a46ae110a94a7075981c | [
"BSD-3-Clause"
] | 2 | 2021-07-18T03:10:12.000Z | 2022-03-27T15:14:11.000Z | # -*- coding: utf-8 -*-
import numpy as np
from odbAccess import *
from abaqusConstants import *
filename = 'Job-4e-SS-Pulse'
"""
LOAD DATA
===============================================================================
"""
results = np.load(filename + '.npz')
vonMisesMax = results['vonMisesMax'].transpose()
vonMis... | 37.961538 | 150 | 0.660588 |
23cbfc7fdcdcf980a0e3a9a727e48fece2483a0e | 7,014 | py | Python | ssh.py | unazed/Py-s-SH | c20d883f75f094c71386e62cbfa8197120c641fc | [
"MIT"
] | null | null | null | ssh.py | unazed/Py-s-SH | c20d883f75f094c71386e62cbfa8197120c641fc | [
"MIT"
] | null | null | null | ssh.py | unazed/Py-s-SH | c20d883f75f094c71386e62cbfa8197120c641fc | [
"MIT"
] | null | null | null | """
SSH reimplementation in Python, made by Unazed Spectaculum under the MIT license
"""
import socket
import struct
| 44.675159 | 120 | 0.681637 |
23ce177acd70b69372b2d3dd196d4ee81ee251d0 | 1,140 | py | Python | seriously/probably_prime.py | Mego/Seriously | 07b256e4f35f5efec3b01434300f9ccc551b1c3e | [
"MIT"
] | 104 | 2015-11-02T00:08:32.000Z | 2022-02-17T23:17:14.000Z | seriously/probably_prime.py | Mego/Seriously | 07b256e4f35f5efec3b01434300f9ccc551b1c3e | [
"MIT"
] | 68 | 2015-11-09T05:33:24.000Z | 2020-04-10T06:46:54.000Z | seriously/probably_prime.py | Mego/Seriously | 07b256e4f35f5efec3b01434300f9ccc551b1c3e | [
"MIT"
] | 25 | 2015-11-19T05:34:09.000Z | 2021-07-20T13:54:03.000Z | import random
def find_spelling(n):
"""
Finds d, r s.t. n-1 = 2^r * d
"""
r = 0
d = n - 1
# divmod used for large numbers
quotient, remainder = divmod(d, 2)
# while we can still divide 2's into n-1...
while remainder != 1:
r += 1
d = quotient # previo... | 24.782609 | 89 | 0.497368 |
23ce1db523427cb59d90dd66571f9536a6eda982 | 4,859 | py | Python | home/moz4r/Marty/marty_customInmoov.py | rv8flyboy/pyrobotlab | 4e04fb751614a5cb6044ea15dcfcf885db8be65a | [
"Apache-2.0"
] | 63 | 2015-02-03T18:49:43.000Z | 2022-03-29T03:52:24.000Z | home/moz4r/Marty/marty_customInmoov.py | rv8flyboy/pyrobotlab | 4e04fb751614a5cb6044ea15dcfcf885db8be65a | [
"Apache-2.0"
] | 16 | 2016-01-26T19:13:29.000Z | 2018-11-25T21:20:51.000Z | home/moz4r/Marty/marty_customInmoov.py | rv8flyboy/pyrobotlab | 4e04fb751614a5cb6044ea15dcfcf885db8be65a | [
"Apache-2.0"
] | 151 | 2015-01-03T18:55:54.000Z | 2022-03-04T07:04:23.000Z | #MARTY I2C PI
#SCRIPT BASED ON MATS WORK
#SCRIPT PUSHED INSIDE inmoovCustom : https://github.com/MyRobotLab/inmoov/tree/master/InmoovScript
raspi = Runtime.createAndStart("RasPi","RasPi")
adaFruit16c = Runtime.createAndStart("AdaFruit16C","Adafruit16CServoDriver")
adaFruit16c.setController("RasPi","1","0x40")
#
# This... | 22.919811 | 98 | 0.787611 |
23ce6753d608fd795d0aebbaec8257e2469df9e3 | 7,214 | py | Python | tabular_experiments_supp_mat.py | juliendelaunay35000/APE-Adapted_Post-Hoc_Explanations | 991c4cf6153fafef4200732a5ef8ac93f1175f27 | [
"MIT"
] | null | null | null | tabular_experiments_supp_mat.py | juliendelaunay35000/APE-Adapted_Post-Hoc_Explanations | 991c4cf6153fafef4200732a5ef8ac93f1175f27 | [
"MIT"
] | null | null | null | tabular_experiments_supp_mat.py | juliendelaunay35000/APE-Adapted_Post-Hoc_Explanations | 991c4cf6153fafef4200732a5ef8ac93f1175f27 | [
"MIT"
] | null | null | null | from sklearn import tree, svm
from sklearn.neural_network import MLPClassifier
from sklearn.multiclass import OneVsRestClassifier
from sklearn.ensemble import GradientBoostingClassifier, RandomForestClassifier, VotingClassifier
from sklearn.linear_model import LogisticRegression, RidgeClassifier
from sklearn.naive_baye... | 59.131148 | 182 | 0.624896 |
23ceb4be40ab14b96763eb535badca57463b0253 | 8,099 | py | Python | summarise_results.py | MDBAuth/EWR_tool | 5b05cf276822d97a38a32a5fc031209224a04fb3 | [
"CC0-1.0"
] | 5 | 2021-03-17T00:33:53.000Z | 2022-03-07T18:16:25.000Z | summarise_results.py | MDBAuth/EWR_tool | 5b05cf276822d97a38a32a5fc031209224a04fb3 | [
"CC0-1.0"
] | null | null | null | summarise_results.py | MDBAuth/EWR_tool | 5b05cf276822d97a38a32a5fc031209224a04fb3 | [
"CC0-1.0"
] | 2 | 2022-01-14T03:50:10.000Z | 2022-02-14T00:45:56.000Z | import pandas as pd
import numpy as np
import data_inputs, evaluate_EWRs
#--------------------------------------------------------------------------------------------------
def sum_events(events):
'''returns a sum of events'''
return int(round(events.sum(), 0))
def get_frequency(events):
'''Returns the f... | 47.087209 | 118 | 0.548463 |
23cf8e518be1c460ad577e7a202dfb564e60b6c9 | 247 | py | Python | os/excel and csv/save pandas to xlsx file.py | pydeveloper510/Python | 2e3cf5f9d132fbc6dd8c41a96166b6e879d86e0d | [
"MIT"
] | 3 | 2021-04-23T08:04:14.000Z | 2021-05-08T01:24:08.000Z | os/excel and csv/save pandas to xlsx file.py | pydeveloper510/Python | 2e3cf5f9d132fbc6dd8c41a96166b6e879d86e0d | [
"MIT"
] | null | null | null | os/excel and csv/save pandas to xlsx file.py | pydeveloper510/Python | 2e3cf5f9d132fbc6dd8c41a96166b6e879d86e0d | [
"MIT"
] | 1 | 2021-05-08T01:24:46.000Z | 2021-05-08T01:24:46.000Z | import pandas as pd
writer = pd.ExcelWriter("data.xlsx", engine='xlsxwriter')
df.to_excel(writer, sheet_name='Sheet1', index=False)
# Get the xlsxwriter workbook and worksheet objects.
workbook = writer.book
worksheet = writer.sheets['Sheet1']
| 24.7 | 57 | 0.765182 |
23cf95b3c49a497e9b4fcecf5c43de957206031c | 1,564 | py | Python | setup.py | nitehawck/DevEnvManager | 425b0d621be577fe73f22b4641f7099eac65669e | [
"MIT"
] | 1 | 2016-05-16T23:13:47.000Z | 2016-05-16T23:13:47.000Z | setup.py | nitehawck/DevEnvManager | 425b0d621be577fe73f22b4641f7099eac65669e | [
"MIT"
] | 41 | 2016-01-22T00:56:14.000Z | 2016-05-12T14:38:37.000Z | setup.py | nitehawck/DevEnvManager | 425b0d621be577fe73f22b4641f7099eac65669e | [
"MIT"
] | null | null | null | from setuptools import setup
with open('README.rst') as f:
readme = f.read()
setup(
name="dem",
version="0.0.8",
author="Ian Macaulay, Jeremy Opalach",
author_email="ismacaul@gmail.com",
url="http://www.github.com/nitehawck/dem",
description="An agnostic library/package manager for setting... | 31.28 | 103 | 0.575448 |
23d1de5c4b1de87a253332547b768f99517edb24 | 326 | py | Python | lfs/core/admin.py | restless/django-lfs | 4058f9d45b416ef2e8c28a87856ea0f1550b523d | [
"BSD-3-Clause"
] | 1 | 2020-02-26T03:07:39.000Z | 2020-02-26T03:07:39.000Z | lfs/core/admin.py | mxins/django-lfs | bf42ed80ce0e1ec96db6ab985adcc614ea79dfc8 | [
"BSD-3-Clause"
] | null | null | null | lfs/core/admin.py | mxins/django-lfs | bf42ed80ce0e1ec96db6ab985adcc614ea79dfc8 | [
"BSD-3-Clause"
] | null | null | null | # django imports
from django.contrib import admin
# lfs imports
from lfs.core.models import Action
from lfs.core.models import ActionGroup
from lfs.core.models import Shop
from lfs.core.models import Country
admin.site.register(Shop)
admin.site.register(Action)
admin.site.register(ActionGroup)
admin.site.register(Cou... | 23.285714 | 39 | 0.819018 |
23d1f2c4f4ea5639727ded8d5757f9d66fc0cc39 | 13,959 | py | Python | TarSync.py | waynegramlich/Fab | d4a23067a0354ffda106f7032df0501c8db24499 | [
"MIT"
] | 1 | 2022-03-20T12:25:34.000Z | 2022-03-20T12:25:34.000Z | TarSync.py | waynegramlich/Fab | d4a23067a0354ffda106f7032df0501c8db24499 | [
"MIT"
] | null | null | null | TarSync.py | waynegramlich/Fab | d4a23067a0354ffda106f7032df0501c8db24499 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""TarSync.py: Synchronize .fcstd and .tar files.
Usage: TarSync.py [OPTIONS] [DIR] ...
Recursively scans directories searching for `.fcstd`/`.FCstd` files
and synchronizes them with associated `.tar` files. The current
directory is used if no explicit directory or files are listed.
Options:
... | 45.617647 | 98 | 0.646321 |
23d1f9c2f299c304c7761f6ac8842a0f28c28618 | 20,325 | py | Python | tcga_encoder/analyses/old/spearmans_input_cluster_from_hidden.py | tedmeeds/tcga_encoder | 805f9a5bcc422a43faea45baa0996c88d346e3b4 | [
"MIT"
] | 2 | 2017-12-19T15:32:46.000Z | 2018-01-12T11:24:24.000Z | tcga_encoder/analyses/old/spearmans_input_cluster_from_hidden.py | tedmeeds/tcga_encoder | 805f9a5bcc422a43faea45baa0996c88d346e3b4 | [
"MIT"
] | null | null | null | tcga_encoder/analyses/old/spearmans_input_cluster_from_hidden.py | tedmeeds/tcga_encoder | 805f9a5bcc422a43faea45baa0996c88d346e3b4 | [
"MIT"
] | null | null | null | from tcga_encoder.utils.helpers import *
from tcga_encoder.data.data import *
#from tcga_encoder.data.pathway_data import Pathways
from tcga_encoder.data.hallmark_data import Pathways
from tcga_encoder.definitions.tcga import *
#from tcga_encoder.definitions.nn import *
from tcga_encoder.definitions.locations import *
... | 42.080745 | 222 | 0.667847 |
23d49ee738e43aa66d515d38988b95d1c1f66917 | 102 | py | Python | src/django/tests/test_settings.py | segestic/django-builder | 802e73241fe29ea1afb2df15a3addee87f39aeaa | [
"MIT"
] | 541 | 2015-05-27T04:34:38.000Z | 2022-03-23T18:00:16.000Z | src/django/tests/test_settings.py | segestic/django-builder | 802e73241fe29ea1afb2df15a3addee87f39aeaa | [
"MIT"
] | 85 | 2015-05-27T14:27:27.000Z | 2022-02-27T18:51:08.000Z | src/django/tests/test_settings.py | segestic/django-builder | 802e73241fe29ea1afb2df15a3addee87f39aeaa | [
"MIT"
] | 129 | 2015-05-27T20:55:43.000Z | 2022-03-23T14:18:07.000Z |
from XXX_PROJECT_NAME_XXX.settings import * # noqa
# Override any settings required for tests here
| 20.4 | 51 | 0.794118 |
23d6f93dd725259d766c98af0f0522d89793519e | 3,808 | py | Python | m2m/search/models.py | blampe/M2M | d8c025481ba961fe85b95f9e851a7678e08227c3 | [
"MIT"
] | null | null | null | m2m/search/models.py | blampe/M2M | d8c025481ba961fe85b95f9e851a7678e08227c3 | [
"MIT"
] | null | null | null | m2m/search/models.py | blampe/M2M | d8c025481ba961fe85b95f9e851a7678e08227c3 | [
"MIT"
] | 1 | 2018-06-27T14:05:43.000Z | 2018-06-27T14:05:43.000Z | from django.db import models
#from djangosphinx import SphinxSearch, SphinxRelation, SphinxQuerySet
#import djangosphinx.apis.current as sphinxapi
from advancedsearch.models import Movie, Episode, Song
from browseNet.models import Host, Path
# Create your models here.
| 39.666667 | 110 | 0.665966 |
23d7aa18934d135f4447648b4a864fe8e8b4a99c | 1,790 | py | Python | moods.py | henry232323/Discord-Pesterchum | 70be67f3671b35aa6cbe6e4eb66a4a1c07707ce3 | [
"MIT"
] | 27 | 2017-01-31T03:28:26.000Z | 2021-09-05T21:02:36.000Z | moods.py | henry232323/Discord-Pesterchum | 70be67f3671b35aa6cbe6e4eb66a4a1c07707ce3 | [
"MIT"
] | 18 | 2018-02-03T16:44:18.000Z | 2021-06-26T04:12:17.000Z | moods.py | henry232323/Discord-Pesterchum | 70be67f3671b35aa6cbe6e4eb66a4a1c07707ce3 | [
"MIT"
] | 5 | 2017-09-23T15:53:08.000Z | 2020-07-26T06:19:13.000Z | #!/usr/bin/env python3
# Copyright (c) 2016-2020, henry232323
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, mo... | 42.619048 | 76 | 0.701117 |
23d7e7b0e05f376311c1a1430b049eda79a5c69d | 4,465 | py | Python | reclass/utils/tests/test_refvalue.py | bbinet/reclass | c08b844b328fa0fe182db49dd423cc203a016ce9 | [
"Artistic-2.0"
] | 101 | 2015-01-09T14:59:57.000Z | 2021-11-06T23:33:50.000Z | reclass/utils/tests/test_refvalue.py | bbinet/reclass | c08b844b328fa0fe182db49dd423cc203a016ce9 | [
"Artistic-2.0"
] | 48 | 2015-01-30T05:53:47.000Z | 2019-03-21T23:17:40.000Z | reclass/utils/tests/test_refvalue.py | bbinet/reclass | c08b844b328fa0fe182db49dd423cc203a016ce9 | [
"Artistic-2.0"
] | 50 | 2015-01-30T08:56:07.000Z | 2020-12-25T02:34:08.000Z | #
# -*- coding: utf-8 -*-
#
# This file is part of reclass (http://github.com/madduck/reclass)
#
# Copyright 200714 martin f. krafft <madduck@madduck.net>
# Released under the terms of the Artistic Licence 2.0
#
from reclass.utils.refvalue import RefValue
from reclass.defaults import PARAMETER_INTERPOLATION_SENTINELS... | 34.882813 | 76 | 0.600224 |
23d88124e0abeec9041b9f813d746d7445479956 | 1,506 | py | Python | backend/neuroflow/routes/mood.py | isamu-isozaki/neuroflow-challenge | ca29b8e48be4853317ab706acd4731ea0a8bab10 | [
"MIT"
] | null | null | null | backend/neuroflow/routes/mood.py | isamu-isozaki/neuroflow-challenge | ca29b8e48be4853317ab706acd4731ea0a8bab10 | [
"MIT"
] | null | null | null | backend/neuroflow/routes/mood.py | isamu-isozaki/neuroflow-challenge | ca29b8e48be4853317ab706acd4731ea0a8bab10 | [
"MIT"
] | null | null | null | """
Author: Isamu Isozaki (isamu.website@gmail.com)
Description: description
Created: 2021-12-01T16:32:53.089Z
Modified: !date!
Modified By: modifier
"""
from flask import Blueprint, redirect, jsonify, url_for, request
from neuroflow.repository import create_mood, get_authorized, load_moods_from_user
from functools i... | 30.12 | 82 | 0.616866 |
23d8fd0ae625c1772c3f3bb0a2d8ee76180f8da6 | 2,684 | py | Python | capstone/upload_to_s3.py | slangenbach/udacity-de-nanodegree | ba885eb4c6fbce063e443375a89b92dbc46fa809 | [
"MIT"
] | 2 | 2020-03-07T23:32:41.000Z | 2020-05-22T15:35:16.000Z | capstone/upload_to_s3.py | slangenbach/udacity-de-nanodegree | ba885eb4c6fbce063e443375a89b92dbc46fa809 | [
"MIT"
] | 1 | 2020-05-25T11:17:15.000Z | 2020-05-26T06:58:37.000Z | capstone/upload_to_s3.py | slangenbach/udacity-de-nanodegree | ba885eb4c6fbce063e443375a89b92dbc46fa809 | [
"MIT"
] | 2 | 2020-03-31T13:00:01.000Z | 2021-07-14T14:34:37.000Z | import logging
import time
from pathlib import Path
from configparser import ConfigParser
import boto3
from botocore.exceptions import ClientError
def create_bucket(bucket_name: str, region: str = 'us-west-2'):
"""
Create S3 bucket
https://boto3.amazonaws.com/v1/documentation/api/latest/guide/s3-example-c... | 31.209302 | 120 | 0.688897 |
23da034ad35f31e90c8e53d6592ca43cf2dabf3f | 4,734 | py | Python | Timer.py | Dark-Night-Base/MCDP | fbdba3c2b7a919d625067cbd473cdbe779af3256 | [
"MIT"
] | null | null | null | Timer.py | Dark-Night-Base/MCDP | fbdba3c2b7a919d625067cbd473cdbe779af3256 | [
"MIT"
] | null | null | null | Timer.py | Dark-Night-Base/MCDP | fbdba3c2b7a919d625067cbd473cdbe779af3256 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import time
help_msg = '''------ aMCR f------
b!!time help f- c
b!!time ct f- c
b!!time timer [] f- c
b!!time stopwatch start f- c
b!!time stopwatch stop f- c
--------------------------------'''
no_input = '''------ a f------
c !!time help
--------------------------------'''
stop_T = False... | 41.526316 | 114 | 0.444022 |
23dbf2b9d9cefc92e0075e49e75f8a00b52cb7f9 | 4,174 | py | Python | core/loader.py | CrackerCat/ZetaSploit | 4589d467c9fb81c1a5075cd43358b2df9b896530 | [
"MIT"
] | 3 | 2020-12-04T07:29:31.000Z | 2022-01-30T10:14:41.000Z | core/loader.py | CrackerCat/ZetaSploit | 4589d467c9fb81c1a5075cd43358b2df9b896530 | [
"MIT"
] | null | null | null | core/loader.py | CrackerCat/ZetaSploit | 4589d467c9fb81c1a5075cd43358b2df9b896530 | [
"MIT"
] | 1 | 2021-03-27T06:14:43.000Z | 2021-03-27T06:14:43.000Z | #!/usr/bin/env python3
#
# MIT License
#
# Copyright (c) 2020 EntySec
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use,... | 43.030928 | 115 | 0.598946 |
23dc4f684d9d5300357e5bf6d8fabca6e13f5585 | 8,556 | py | Python | parameter_setting/parameters_setting_cropping_impact.py | MorganeAudrain/Calcium_new | 1af0ab4f70b91d1ca55c6053112c1744b1da1bd3 | [
"MIT"
] | null | null | null | parameter_setting/parameters_setting_cropping_impact.py | MorganeAudrain/Calcium_new | 1af0ab4f70b91d1ca55c6053112c1744b1da1bd3 | [
"MIT"
] | null | null | null | parameter_setting/parameters_setting_cropping_impact.py | MorganeAudrain/Calcium_new | 1af0ab4f70b91d1ca55c6053112c1744b1da1bd3 | [
"MIT"
] | null | null | null |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Nov 5
@author: Melisa Maidana
This script runs different cropping parameters, motion correct the cropped images using reasonable motion correction parameters that were previously selected
by using the parameters_setting_motion_correction scripts, and ... | 50.329412 | 161 | 0.661524 |
23dd6ab36e5a83840094cc404aedad771f6f9076 | 1,676 | py | Python | src/data/energidataservice_api.py | titanbender/electricity-price-forecasting | c288a9b6d7489ac03ee800318539195bd1cd2650 | [
"MIT"
] | 1 | 2021-04-15T13:05:03.000Z | 2021-04-15T13:05:03.000Z | src/data/energidataservice_api.py | titanbender/electricity-price-forecasting | c288a9b6d7489ac03ee800318539195bd1cd2650 | [
"MIT"
] | 1 | 2018-12-11T13:41:45.000Z | 2018-12-11T14:15:15.000Z | src/data/energidataservice_api.py | titanbender/electricity-price-forecasting | c288a9b6d7489ac03ee800318539195bd1cd2650 | [
"MIT"
] | 1 | 2020-01-01T21:03:02.000Z | 2020-01-01T21:03:02.000Z |
import pandas as pd
import json
import urllib2
def download_nordpool(limit, output_file):
'''
The method downloads the nordpool available data from www.energidataservice.dk and saves it in a csv file
limit: Int, the number of maximum rows of data to download
output_file: Str, the name of the output file
'''
... | 37.244444 | 127 | 0.7679 |
23df352466c71a2286ba6b66bb76f8b89e0ba1ff | 1,873 | py | Python | models/cnn.py | amayuelas/NNKGReasoning | 0e3623b344fd4e3088ece897f898ddbb1f80888d | [
"MIT"
] | 1 | 2022-03-16T22:20:12.000Z | 2022-03-16T22:20:12.000Z | models/cnn.py | amayuelas/NNKGReasoning | 0e3623b344fd4e3088ece897f898ddbb1f80888d | [
"MIT"
] | 2 | 2022-03-22T23:34:38.000Z | 2022-03-24T17:35:53.000Z | models/cnn.py | amayuelas/NNKGReasoning | 0e3623b344fd4e3088ece897f898ddbb1f80888d | [
"MIT"
] | null | null | null | from typing import Any
import torch
import torch.nn as nn
import torch.nn.functional as F
| 31.745763 | 75 | 0.538708 |
23df5a83027200920168a92b6eedd813725d6db4 | 2,608 | py | Python | students/K33421/Novikova Veronika/practice/warriors_project/warriors_app/views.py | aglaya-pill/ITMO_ICT_WebDevelopment_2021-2022 | a63691317a72fb9b29ae537bc3d7766661458c22 | [
"MIT"
] | null | null | null | students/K33421/Novikova Veronika/practice/warriors_project/warriors_app/views.py | aglaya-pill/ITMO_ICT_WebDevelopment_2021-2022 | a63691317a72fb9b29ae537bc3d7766661458c22 | [
"MIT"
] | null | null | null | students/K33421/Novikova Veronika/practice/warriors_project/warriors_app/views.py | aglaya-pill/ITMO_ICT_WebDevelopment_2021-2022 | a63691317a72fb9b29ae537bc3d7766661458c22 | [
"MIT"
] | null | null | null | from rest_framework import generics
from rest_framework.response import Response
from rest_framework.views import APIView
from .serializers import *
| 29.636364 | 107 | 0.71434 |
23e0261a193fa6f445356c45a1780f878354e500 | 157 | py | Python | utils/platform.py | dennisding/build | e9342c2f235f64a8e125b3e6208426f1c2a12346 | [
"Apache-2.0"
] | null | null | null | utils/platform.py | dennisding/build | e9342c2f235f64a8e125b3e6208426f1c2a12346 | [
"Apache-2.0"
] | null | null | null | utils/platform.py | dennisding/build | e9342c2f235f64a8e125b3e6208426f1c2a12346 | [
"Apache-2.0"
] | null | null | null | # -*- encoding:utf-8 -*- | 11.214286 | 24 | 0.687898 |
23e0459ade4fcfb40deaedb8969b8ab2785c8442 | 1,801 | py | Python | drone/flight/driving/motor_dummy.py | dpm76/eaglebone | 46403d03359a780f385ccb1f05b462869eddff89 | [
"ISC"
] | null | null | null | drone/flight/driving/motor_dummy.py | dpm76/eaglebone | 46403d03359a780f385ccb1f05b462869eddff89 | [
"ISC"
] | 18 | 2016-03-30T08:43:45.000Z | 2017-03-27T11:14:17.000Z | drone/flight/driving/motor_dummy.py | dpm76/eaglebone | 46403d03359a780f385ccb1f05b462869eddff89 | [
"ISC"
] | 2 | 2016-03-06T20:38:06.000Z | 2019-09-10T14:46:35.000Z | '''
Created on 19 de ene. de 2016
@author: david
'''
import time
| 20.465909 | 110 | 0.494725 |
23e397535cfd73ea5daf63a3a67cc1be6978c490 | 29,136 | py | Python | src/valr_python/ws_client.py | duncan-lumina/valr-python | 9c94b76990416b4b709d507b538bd8265ed51312 | [
"MIT"
] | 6 | 2019-12-31T17:25:14.000Z | 2021-12-15T14:30:05.000Z | src/valr_python/ws_client.py | duncan-lumina/valr-python | 9c94b76990416b4b709d507b538bd8265ed51312 | [
"MIT"
] | 17 | 2020-01-03T00:03:30.000Z | 2022-03-14T19:17:50.000Z | src/valr_python/ws_client.py | duncan-lumina/valr-python | 9c94b76990416b4b709d507b538bd8265ed51312 | [
"MIT"
] | 6 | 2020-06-24T03:23:37.000Z | 2021-12-17T14:20:46.000Z | import asyncio
from typing import Callable
from typing import Dict
from typing import List
from typing import Optional
from typing import Type
from typing import Union
try:
import simplejson as json
except ImportError:
import json
import websockets
from valr_python.enum import AccountEvent
from valr_python.e... | 30.864407 | 120 | 0.512699 |
23e4cf7747f358650ecc3229b90396e47c6f5137 | 110 | py | Python | bagua/torch_api/compression.py | fossabot/bagua | 2a8434159bfa502e61739b5eabd91dca57c9256c | [
"MIT"
] | 1 | 2021-06-23T08:13:15.000Z | 2021-06-23T08:13:15.000Z | bagua/torch_api/compression.py | fossabot/bagua | 2a8434159bfa502e61739b5eabd91dca57c9256c | [
"MIT"
] | null | null | null | bagua/torch_api/compression.py | fossabot/bagua | 2a8434159bfa502e61739b5eabd91dca57c9256c | [
"MIT"
] | null | null | null | from enum import Enum
| 15.714286 | 35 | 0.736364 |
23e64fd0f143ca1fd055ab9e432dcd782eb331eb | 2,215 | py | Python | emailer.py | dblossom/raffle-checker | 807d33a305e836579a423986be2a7ff7c2d655e1 | [
"MIT"
] | null | null | null | emailer.py | dblossom/raffle-checker | 807d33a305e836579a423986be2a7ff7c2d655e1 | [
"MIT"
] | null | null | null | emailer.py | dblossom/raffle-checker | 807d33a305e836579a423986be2a7ff7c2d655e1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from database import Database
from rafflecollector import RaffleCollector
import os
import smtplib, ssl
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
import schedule
import time
if __name__ == "__main__":
e = Emailer()
schedule.every().day.at("22:00... | 31.642857 | 91 | 0.621219 |
23e79af618c8a287421e1a5d39cd45ed069fab6f | 4,391 | py | Python | website_handling/website_check.py | Dr3xler/CookieConsentChecker | 816cdfb9d9dc741c57dbcd5e9c9ef59837196631 | [
"MIT"
] | null | null | null | website_handling/website_check.py | Dr3xler/CookieConsentChecker | 816cdfb9d9dc741c57dbcd5e9c9ef59837196631 | [
"MIT"
] | 3 | 2021-04-29T22:57:09.000Z | 2021-05-03T15:32:39.000Z | website_handling/website_check.py | Dr3xler/CookieConsentChecker | 816cdfb9d9dc741c57dbcd5e9c9ef59837196631 | [
"MIT"
] | 1 | 2021-08-29T09:53:09.000Z | 2021-08-29T09:53:09.000Z | import os
import json
import shutil
import time
from pathlib import Path
from sys import platform
# TODO: (stackoverflow.com/question/17136514/how-to-get-3rd-party-cookies)
# stackoverflow.com/questions/22200134/make-selenium-grab-all-cookies, add the selenium, phantomjs part to catch ALL cookies
# TODO: Maybe save ... | 35.128 | 125 | 0.662491 |
23e9be3b6c2cc45718ae9d2bebea994634002d02 | 925 | py | Python | src/utils/import_lock.py | ThatOneAnimeGuy/seiso | f8ad20a0ec59b86b88149723eafc8e6d9f8be451 | [
"BSD-3-Clause"
] | 3 | 2021-11-08T05:23:08.000Z | 2021-11-08T09:46:51.000Z | src/utils/import_lock.py | ThatOneAnimeGuy/seiso | f8ad20a0ec59b86b88149723eafc8e6d9f8be451 | [
"BSD-3-Clause"
] | null | null | null | src/utils/import_lock.py | ThatOneAnimeGuy/seiso | f8ad20a0ec59b86b88149723eafc8e6d9f8be451 | [
"BSD-3-Clause"
] | 2 | 2021-11-08T05:23:12.000Z | 2021-11-16T01:16:35.000Z | from flask import current_app
from ..internals.database.database import get_cursor
| 35.576923 | 144 | 0.68973 |
23ecadb81a5ec6b2f9e0c728e946a750d6f1f36e | 93 | py | Python | modules/tankshapes/__init__.py | bullseyestudio/guns-game | 3104c44e43ea7f000f6b9e756d622f98110d0a21 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | modules/tankshapes/__init__.py | bullseyestudio/guns-game | 3104c44e43ea7f000f6b9e756d622f98110d0a21 | [
"Apache-2.0",
"BSD-3-Clause"
] | 1 | 2018-11-21T04:50:57.000Z | 2018-11-21T04:50:57.000Z | modules/tankshapes/__init__.py | bullseyestudio/guns-game | 3104c44e43ea7f000f6b9e756d622f98110d0a21 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | """ Tank shapes package for Guns.
This init file marks the package as a usable module.
"""
| 15.5 | 52 | 0.709677 |
23ece7de650d89db697b4f1ccb8b587a85d078b4 | 99 | py | Python | jonathan/Aufgabe23/1.py | codingkrabbe/adventofcode | 21965a9519e8c20ab154354fd4b4ad3c807b7b95 | [
"MIT"
] | 5 | 2021-12-01T21:44:22.000Z | 2021-12-09T19:11:21.000Z | jonathan/Aufgabe23/1.py | codingkrabbe/adventofcode | 21965a9519e8c20ab154354fd4b4ad3c807b7b95 | [
"MIT"
] | null | null | null | jonathan/Aufgabe23/1.py | codingkrabbe/adventofcode | 21965a9519e8c20ab154354fd4b4ad3c807b7b95 | [
"MIT"
] | 3 | 2021-12-01T21:41:20.000Z | 2021-12-03T14:17:24.000Z |
if __name__ == '__main__':
main()
| 14.142857 | 46 | 0.565657 |
23ed67548a141b4172f60911a628a2325339dc44 | 4,468 | py | Python | podstreamer.py | Swall0w/pymusic | 73e08e6a5ad4c6d418a0074fc3a83be0896cf97c | [
"MIT"
] | 1 | 2017-06-08T11:41:00.000Z | 2017-06-08T11:41:00.000Z | podstreamer.py | Swall0w/pymusic | 73e08e6a5ad4c6d418a0074fc3a83be0896cf97c | [
"MIT"
] | null | null | null | podstreamer.py | Swall0w/pymusic | 73e08e6a5ad4c6d418a0074fc3a83be0896cf97c | [
"MIT"
] | null | null | null | import feedparser
import vlc
import argparse
import sys
import time
import curses
import wget
if __name__ == '__main__':
main()
| 30.813793 | 75 | 0.57744 |
23edadd6c1315ae3bef9cd266a3d92857c911930 | 229 | py | Python | tfbs_footprinter-runner.py | thirtysix/TFBS_footprinting | f627e0a5186e00fe166dad46b21d9b2742b51760 | [
"MIT"
] | null | null | null | tfbs_footprinter-runner.py | thirtysix/TFBS_footprinting | f627e0a5186e00fe166dad46b21d9b2742b51760 | [
"MIT"
] | null | null | null | tfbs_footprinter-runner.py | thirtysix/TFBS_footprinting | f627e0a5186e00fe166dad46b21d9b2742b51760 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Convenience wrapper for running tfbs_footprinter directly from source tree."""
from tfbs_footprinter.tfbs_footprinter import main
if __name__ == '__main__':
main()
| 17.615385 | 81 | 0.694323 |
23ee7f3b59a96672f837686dde3019287c34f061 | 2,573 | py | Python | metalfi/src/data/meta/importance/shap.py | CemOezcan/metalfi | d7a071eea0229ce621fa07e3474a26d43bfaac66 | [
"MIT"
] | 2 | 2019-12-05T07:57:14.000Z | 2019-12-05T13:02:08.000Z | metalfi/src/data/meta/importance/shap.py | CemOezcan/metalfi | d7a071eea0229ce621fa07e3474a26d43bfaac66 | [
"MIT"
] | 31 | 2019-12-05T15:14:47.000Z | 2020-12-04T14:37:46.000Z | metalfi/src/data/meta/importance/shap.py | CemOezcan/metalfi | d7a071eea0229ce621fa07e3474a26d43bfaac66 | [
"MIT"
] | 1 | 2020-12-04T13:40:11.000Z | 2020-12-04T13:40:11.000Z | import shap
from pandas import DataFrame
from sklearn.preprocessing import StandardScaler
from metalfi.src.data.meta.importance.featureimportance import FeatureImportance
| 34.306667 | 93 | 0.629227 |
23f06c21c858b67e6817ed29322c8b3b1f30395d | 2,281 | py | Python | jsportal_docsite/portal/markdown_extensions/__init__.py | jumpscale7/prototypes | a17f20aa203d4965708b6e0e3a34582f55baac30 | [
"Apache-2.0"
] | null | null | null | jsportal_docsite/portal/markdown_extensions/__init__.py | jumpscale7/prototypes | a17f20aa203d4965708b6e0e3a34582f55baac30 | [
"Apache-2.0"
] | null | null | null | jsportal_docsite/portal/markdown_extensions/__init__.py | jumpscale7/prototypes | a17f20aa203d4965708b6e0e3a34582f55baac30 | [
"Apache-2.0"
] | null | null | null | """
Original code Copyright 2009 [Waylan Limberg](http://achinghead.com)
All changes Copyright 2008-2014 The Python Markdown Project
Changed by Mohammad Tayseer to add CSS classes to table
License: [BSD](http://www.opensource.org/licenses/bsd-license.php)
"""
from __future__ import absolute_import
from __future__ ... | 35.092308 | 88 | 0.621657 |
23f14aa8cb681028e47a2e9707262f0b7d8d18f4 | 6,320 | py | Python | NAS/single-path-one-shot/src/MNIST/test.py | naviocean/SimpleCVReproduction | 61b43e3583977f42e6f91ef176ec5e1701e98d33 | [
"Apache-2.0"
] | 923 | 2020-01-11T06:36:53.000Z | 2022-03-31T00:26:57.000Z | NAS/single-path-one-shot/src/MNIST/test.py | Twenty3hree/SimpleCVReproduction | 9939f8340c54dbd69b0017cecad875dccf428f26 | [
"Apache-2.0"
] | 25 | 2020-02-27T08:35:46.000Z | 2022-01-25T08:54:19.000Z | NAS/single-path-one-shot/src/MNIST/test.py | Twenty3hree/SimpleCVReproduction | 9939f8340c54dbd69b0017cecad875dccf428f26 | [
"Apache-2.0"
] | 262 | 2020-01-02T02:19:40.000Z | 2022-03-23T04:56:16.000Z | import argparse
import json
import logging
import os
import sys
import time
import cv2
import numpy as np
import PIL
import torch
import torch.nn as nn
import torchvision.datasets as datasets
import torchvision.transforms as transforms
from PIL import Image
from angle import generate_angle
# from cifar100_dataset im... | 31.287129 | 91 | 0.612025 |
23f14e1f84f7c3d2bff9dca3e337c8e7cd4c2c5e | 3,231 | py | Python | examples/pixel/plot_0_image.py | DeepanshS/csdmpy | ae8d20dd09f217bb462af67a3145bb6fcb025def | [
"BSD-3-Clause"
] | 7 | 2020-01-04T20:46:08.000Z | 2021-05-26T21:09:25.000Z | examples/pixel/plot_0_image.py | deepanshs/csdmpy | bd4e138b10694491113b10177a89305697f1752c | [
"BSD-3-Clause"
] | 16 | 2021-06-09T06:28:27.000Z | 2022-03-01T18:12:33.000Z | examples/pixel/plot_0_image.py | deepanshs/csdmpy | bd4e138b10694491113b10177a89305697f1752c | [
"BSD-3-Clause"
] | 1 | 2020-01-03T17:04:16.000Z | 2020-01-03T17:04:16.000Z | # -*- coding: utf-8 -*-
"""
Image, 2D{3} datasets
^^^^^^^^^^^^^^^^^^^^^
"""
# %%
# The 2D{3} dataset is two dimensional, :math:`d=2`, with
# a single three-component dependent variable, :math:`p=3`.
# A common example from this subset is perhaps the RGB image dataset.
# An RGB image dataset has two spatial dim... | 31.990099 | 85 | 0.701021 |
23f1798fb64ee4b5169a0bf90b985ef75feb7390 | 76 | py | Python | xdl/blueprints/__init__.py | mcrav/xdl | c120a1cf50a9b668a79b118700930eb3d60a9298 | [
"MIT"
] | null | null | null | xdl/blueprints/__init__.py | mcrav/xdl | c120a1cf50a9b668a79b118700930eb3d60a9298 | [
"MIT"
] | null | null | null | xdl/blueprints/__init__.py | mcrav/xdl | c120a1cf50a9b668a79b118700930eb3d60a9298 | [
"MIT"
] | null | null | null | from .procedure import (
CrossCouplingBlueprint,
GenericBlueprint
)
| 15.2 | 27 | 0.75 |
23f2b2f6f97b3acdf979b2b92b12fa1475acc97b | 141 | py | Python | ex013 - Reajuste Salarial/app.py | daphi-ny/python-exercicios | 0836fd1a134f07dc1cb29f7c31fce75fff65f963 | [
"MIT"
] | null | null | null | ex013 - Reajuste Salarial/app.py | daphi-ny/python-exercicios | 0836fd1a134f07dc1cb29f7c31fce75fff65f963 | [
"MIT"
] | null | null | null | ex013 - Reajuste Salarial/app.py | daphi-ny/python-exercicios | 0836fd1a134f07dc1cb29f7c31fce75fff65f963 | [
"MIT"
] | null | null | null | s = float(input('Digite o valor do salrio: R$ '))
p = s + (s * 15 / 100)
print('o salrio de R$ {} com mais 15% ficar {:.2f}'.format(s, p)) | 47 | 67 | 0.58156 |
23f63778d171661ca3379def8f64e54d84bf8d22 | 2,868 | py | Python | analysis/files/files.py | mg98/arbitrary-data-on-blockchains | 6450e638cf7c54f53ef247ff779770b22128a024 | [
"MIT"
] | 1 | 2022-03-21T01:51:44.000Z | 2022-03-21T01:51:44.000Z | analysis/files/files.py | mg98/arbitrary-data-on-blockchains | 6450e638cf7c54f53ef247ff779770b22128a024 | [
"MIT"
] | null | null | null | analysis/files/files.py | mg98/arbitrary-data-on-blockchains | 6450e638cf7c54f53ef247ff779770b22128a024 | [
"MIT"
] | null | null | null | import codecs
import sqlite3
import json
from fnmatch import fnmatch
from abc import ABC, abstractmethod
| 32.224719 | 132 | 0.709902 |
23f755b41ceb13c51fd1941958609398bf18c29d | 3,615 | py | Python | info/models/movie.py | wojciezki/movie_info | 88f089e8eaa5310cf5b03f7aae4f6c9b871282f2 | [
"MIT"
] | null | null | null | info/models/movie.py | wojciezki/movie_info | 88f089e8eaa5310cf5b03f7aae4f6c9b871282f2 | [
"MIT"
] | 3 | 2020-02-11T23:47:00.000Z | 2021-06-10T21:13:10.000Z | info/models/movie.py | wojciezki/movie_info | 88f089e8eaa5310cf5b03f7aae4f6c9b871282f2 | [
"MIT"
] | null | null | null | # Create your models here.
import datetime
from django.db import models
from rest_framework.compat import MinValueValidator
| 41.079545 | 93 | 0.458645 |
23faddb427ccf2b4a51011515cdd3a2b5edefbe2 | 1,211 | py | Python | examples/pymt-frostnumbermodel-multidim-parameter-study.py | csdms/dakotathon | 6af575b0c21384b2a1ab51e26b6a08512313bd84 | [
"MIT"
] | 8 | 2019-09-11T12:59:57.000Z | 2021-08-11T16:31:58.000Z | examples/pymt-frostnumbermodel-multidim-parameter-study.py | csdms/dakota | 6af575b0c21384b2a1ab51e26b6a08512313bd84 | [
"MIT"
] | 66 | 2015-04-06T17:11:21.000Z | 2019-02-03T18:09:52.000Z | examples/pymt-frostnumbermodel-multidim-parameter-study.py | csdms/dakota | 6af575b0c21384b2a1ab51e26b6a08512313bd84 | [
"MIT"
] | 5 | 2015-03-24T22:39:34.000Z | 2018-04-21T12:14:05.000Z | """An example of using Dakota as a component with PyMT.
This example requires a WMT executor with PyMT installed, as well as
the CSDMS Dakota interface and FrostNumberModel installed as
components.
"""
import os
from pymt.components import MultidimParameterStudy, FrostNumberModel
from dakotathon.utils import configur... | 27.522727 | 68 | 0.721718 |
23fdbc64ade39f6aaca5e42eb2790bc7ac6b2823 | 4,427 | py | Python | tensorflow/train_pretrained.py | sevakon/mobilenetv2 | e6634da41c377ae1c76662d061e6b2b804a3b09c | [
"MIT"
] | 1 | 2020-01-17T07:54:02.000Z | 2020-01-17T07:54:02.000Z | tensorflow/train_pretrained.py | sevakon/mobilenetv2 | e6634da41c377ae1c76662d061e6b2b804a3b09c | [
"MIT"
] | null | null | null | tensorflow/train_pretrained.py | sevakon/mobilenetv2 | e6634da41c377ae1c76662d061e6b2b804a3b09c | [
"MIT"
] | null | null | null | from callback import ValidationHistory
from dataloader import Dataloader
from normalizer import Normalizer
import tensorflow as tf
import numpy as np
import argparse
if __name__ == '__main__':
parser = argparse.ArgumentParser()
# Required arguments
parser.add_argument(
"-f",
"--folde... | 33.793893 | 87 | 0.5733 |
23fe13301d5fe663179594a9c1c64fdce727026b | 1,354 | py | Python | source/test.py | valrus/alfred-org-mode-workflow | 30f81772ad16519317ccb170d36782e387988633 | [
"MIT"
] | 52 | 2016-08-04T02:15:52.000Z | 2021-12-20T20:33:07.000Z | source/test.py | valrus/alfred-org-mode-workflow | 30f81772ad16519317ccb170d36782e387988633 | [
"MIT"
] | 3 | 2019-11-15T15:13:51.000Z | 2020-11-25T10:42:34.000Z | source/test.py | valrus/alfred-org-mode-workflow | 30f81772ad16519317ccb170d36782e387988633 | [
"MIT"
] | 9 | 2019-03-06T04:21:29.000Z | 2021-08-16T02:28:33.000Z | # coding=utf-8
from orgmode_entry import OrgmodeEntry
entry = u'#A Etwas machen:: DL: Morgen S: Heute Ausstellung am 23.09.2014 12:00 oder am Montag bzw. am 22.10 13:00 sollte man anschauen. '
org = OrgmodeEntry()
# Use an absolute path
org.inbox_file = '/Users/Alex/Documents/Planung/Planning/Inbox.org'
org.delim... | 33.02439 | 140 | 0.739291 |
23fead2b5260640c347d0b505721cb2630c98560 | 407 | py | Python | 25/00/2.py | pylangstudy/201706 | f1cc6af6b18e5bd393cda27f5166067c4645d4d3 | [
"CC0-1.0"
] | null | null | null | 25/00/2.py | pylangstudy/201706 | f1cc6af6b18e5bd393cda27f5166067c4645d4d3 | [
"CC0-1.0"
] | 70 | 2017-06-01T11:02:51.000Z | 2017-06-30T00:35:32.000Z | 25/00/2.py | pylangstudy/201706 | f1cc6af6b18e5bd393cda27f5166067c4645d4d3 | [
"CC0-1.0"
] | null | null | null | import gzip
import bz2
import lzma
s = b'witch which has which witches wrist watch'
with open('2.txt', 'wb') as f: f.write(s)
with gzip.open('2.txt.gz', 'wb') as f: f.write(s)
with bz2.open('2.txt.bz2', 'wb') as f: f.write(s)
with lzma.open('2.txt.xz', 'wb') as f: f.write(s)
print('txt', len(s))
print('gz ', len(gzip... | 25.4375 | 49 | 0.641278 |
23ff90db58dc31d3acc655b347ff8c32734fce8f | 751 | py | Python | timezones.py | rayjustinhuang/BitesofPy | 03b694c5259ff607621419d9677c5caff90a6057 | [
"MIT"
] | null | null | null | timezones.py | rayjustinhuang/BitesofPy | 03b694c5259ff607621419d9677c5caff90a6057 | [
"MIT"
] | null | null | null | timezones.py | rayjustinhuang/BitesofPy | 03b694c5259ff607621419d9677c5caff90a6057 | [
"MIT"
] | null | null | null | import pytz
from datetime import datetime
MEETING_HOURS = range(6, 23) # meet from 6 - 22 max
TIMEZONES = set(pytz.all_timezones)
def within_schedule(utc, *timezones):
"""Receive a utc datetime and one or more timezones and check if
they are all within schedule (MEETING_HOURS)"""
times = []
... | 25.033333 | 68 | 0.624501 |
9b000540f0f753d3e1bc63731ed866572a4a795c | 450 | py | Python | config.py | saurabhchardereal/kernel-tracker | 60d53e6ae377925f8540f148b742869929337088 | [
"MIT"
] | null | null | null | config.py | saurabhchardereal/kernel-tracker | 60d53e6ae377925f8540f148b742869929337088 | [
"MIT"
] | null | null | null | config.py | saurabhchardereal/kernel-tracker | 60d53e6ae377925f8540f148b742869929337088 | [
"MIT"
] | null | null | null | from os import sys, environ
from tracker.__main__ import args
# Name of the file to save kernel versions json
DB_FILE_NAME = "data.json"
# By default looks up in env for api and chat id or just put your stuff in here
# directly if you prefer it that way
BOT_API = environ.get("BOT_API")
CHAT_ID = environ.get("CHAT_ID"... | 28.125 | 79 | 0.717778 |
9b019d69f7dc7afa332c3b317d1c035ebf327b40 | 94 | py | Python | dive_sites/apps.py | Scuba-Chris/dive_site_api | 9c5f2a26e6c8a1e2eeaf6cd1b4174e764f83a6b6 | [
"MIT"
] | null | null | null | dive_sites/apps.py | Scuba-Chris/dive_site_api | 9c5f2a26e6c8a1e2eeaf6cd1b4174e764f83a6b6 | [
"MIT"
] | 7 | 2020-06-05T21:03:39.000Z | 2021-09-22T18:33:33.000Z | dive_sites/apps.py | Scuba-Chris/dive_site_api | 9c5f2a26e6c8a1e2eeaf6cd1b4174e764f83a6b6 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
| 15.666667 | 33 | 0.765957 |
9b02acdde4f64a083c7db9498cddd0e187f2c1df | 615 | py | Python | week9/tests/test_utils.py | zzsza/kyle-school | 8cf6cffd3d86a25c29f914a9d4802cdb8e6dd478 | [
"MIT"
] | 189 | 2019-11-15T11:33:50.000Z | 2022-03-27T08:23:35.000Z | week9/tests/test_utils.py | zzsza/kyle-school | 8cf6cffd3d86a25c29f914a9d4802cdb8e6dd478 | [
"MIT"
] | 3 | 2020-05-29T03:26:32.000Z | 2021-07-11T15:46:07.000Z | week9/tests/test_utils.py | zzsza/kyle-school | 8cf6cffd3d86a25c29f914a9d4802cdb8e6dd478 | [
"MIT"
] | 39 | 2019-11-16T04:02:06.000Z | 2022-03-21T04:18:14.000Z | # test_utils.py overwrite(-a !)
import pytest
import pandas as pd
import datetime
from utils import is_working_day, load_data
| 21.964286 | 59 | 0.747967 |
9b02d42862a5d0797afc71d43094512a70c96510 | 3,302 | py | Python | Packs/dnstwist/Integrations/dnstwist/dnstwist.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/dnstwist/Integrations/dnstwist/dnstwist.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/dnstwist/Integrations/dnstwist/dnstwist.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import json
import subprocess
from CommonServerPython import *
TWIST_EXE = '/dnstwist/dnstwist.py'
if demisto.command() == 'dnstwist-domain-variations':
KEYS_TO_MD = ["whois_updated", "whois_created", "dns_a", "dns_mx", "dns_ns"]
DOMAIN = demisto.args()['domain']
LIMIT = int(demisto.args()['limit'])
... | 35.891304 | 117 | 0.58934 |
9b036ad8294f9db8fecca4b31663a18176793718 | 595 | py | Python | venv/Lib/site-packages/classutils/introspection.py | avim2809/CameraSiteBlocker | bfc0434e75e8f3f95c459a4adc86b7673200816e | [
"Apache-2.0"
] | null | null | null | venv/Lib/site-packages/classutils/introspection.py | avim2809/CameraSiteBlocker | bfc0434e75e8f3f95c459a4adc86b7673200816e | [
"Apache-2.0"
] | null | null | null | venv/Lib/site-packages/classutils/introspection.py | avim2809/CameraSiteBlocker | bfc0434e75e8f3f95c459a4adc86b7673200816e | [
"Apache-2.0"
] | null | null | null | # encoding: utf-8
import inspect
def caller(frame=2):
"""
Returns the object that called the object that called this function.
e.g. A calls B. B calls calling_object. calling object returns A.
:param frame: 0 represents this function
1 represents the caller of this function (e.g. ... | 24.791667 | 72 | 0.616807 |
9b049ff801a11852ac7c1f7e34a2e069aca68527 | 3,395 | py | Python | test/test_resourcerequirements.py | noralsydmp/icetea | b486cdc8e0d2211e118f1f8211aa4d284ca02422 | [
"Apache-2.0"
] | 6 | 2018-08-10T17:11:10.000Z | 2020-04-29T07:05:36.000Z | test/test_resourcerequirements.py | noralsydmp/icetea | b486cdc8e0d2211e118f1f8211aa4d284ca02422 | [
"Apache-2.0"
] | 58 | 2018-08-13T08:36:08.000Z | 2021-07-07T08:32:52.000Z | test/test_resourcerequirements.py | noralsydmp/icetea | b486cdc8e0d2211e118f1f8211aa4d284ca02422 | [
"Apache-2.0"
] | 7 | 2018-08-10T12:53:18.000Z | 2021-11-08T05:15:42.000Z | # pylint: disable=missing-docstring,protected-access
"""
Copyright 2017 ARM Limited
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 b... | 38.146067 | 90 | 0.648895 |
9b04ad53449f706663e52db825a5918226304aab | 321 | py | Python | hadoop_example/reduce.py | hatbot-team/hatbot | e7fea42b5431cc3e93d9e484c5bb5232d8f2e981 | [
"MIT"
] | 1 | 2016-05-26T08:18:36.000Z | 2016-05-26T08:18:36.000Z | hadoop_example/reduce.py | hatbot-team/hatbot | e7fea42b5431cc3e93d9e484c5bb5232d8f2e981 | [
"MIT"
] | null | null | null | hadoop_example/reduce.py | hatbot-team/hatbot | e7fea42b5431cc3e93d9e484c5bb5232d8f2e981 | [
"MIT"
] | null | null | null | #!/bin/python3
import sys
prev = ''
cnt = 0
for x in sys.stdin.readlines():
q, w = x.split('\t')[0], int(x.split('\t')[1])
if (prev == q):
cnt += 1
else:
if (cnt > 0):
print(prev + '\t' + str(cnt))
prev = q
cnt = w
if (cnt > 0):
print(prev + '\t' + str(cnt))... | 17.833333 | 50 | 0.433022 |
9b076c62dfd81be9905f0f82e953e93e7d7c02e5 | 313 | py | Python | covid19_id/pemeriksaan_vaksinasi/vaksinasi_harian.py | hexatester/covid19-id | 8d8aa3f9092a40461a308f4db054ab4f95374849 | [
"MIT"
] | null | null | null | covid19_id/pemeriksaan_vaksinasi/vaksinasi_harian.py | hexatester/covid19-id | 8d8aa3f9092a40461a308f4db054ab4f95374849 | [
"MIT"
] | null | null | null | covid19_id/pemeriksaan_vaksinasi/vaksinasi_harian.py | hexatester/covid19-id | 8d8aa3f9092a40461a308f4db054ab4f95374849 | [
"MIT"
] | null | null | null | import attr
from covid19_id.utils import ValueInt
| 20.866667 | 43 | 0.782748 |
9b0792a063a2b49e22d50a2e57caac25388b1b3e | 511 | py | Python | tests/blockchain/test_hashing_and_proof.py | thecoons/blockchain | 426ede04d058b5eb0e595fcf6e9c71d16605f9a7 | [
"MIT"
] | null | null | null | tests/blockchain/test_hashing_and_proof.py | thecoons/blockchain | 426ede04d058b5eb0e595fcf6e9c71d16605f9a7 | [
"MIT"
] | null | null | null | tests/blockchain/test_hashing_and_proof.py | thecoons/blockchain | 426ede04d058b5eb0e595fcf6e9c71d16605f9a7 | [
"MIT"
] | null | null | null | import json
import hashlib
from .test_case.blockchain import BlockchainTestCase
| 26.894737 | 61 | 0.702544 |
9b0816140cf40f94ed1ecf980a99d990c62d409b | 14,495 | py | Python | xgbse/_kaplan_neighbors.py | gdmarmerola/xgboost-survival-embeddings | cb672d5c2bf09c7d8cbf9edf7807a153bce4db40 | [
"Apache-2.0"
] | null | null | null | xgbse/_kaplan_neighbors.py | gdmarmerola/xgboost-survival-embeddings | cb672d5c2bf09c7d8cbf9edf7807a153bce4db40 | [
"Apache-2.0"
] | null | null | null | xgbse/_kaplan_neighbors.py | gdmarmerola/xgboost-survival-embeddings | cb672d5c2bf09c7d8cbf9edf7807a153bce4db40 | [
"Apache-2.0"
] | null | null | null | import warnings
import numpy as np
import pandas as pd
import xgboost as xgb
import scipy.stats as st
from sklearn.neighbors import BallTree
from xgbse._base import XGBSEBaseEstimator
from xgbse.converters import convert_data_to_xgb_format, convert_y
from xgbse.non_parametric import (
calculate_kaplan_vectorized,... | 34.186321 | 135 | 0.635598 |
9b086dcb5153716593628ec1966115cfb5eef668 | 3,932 | py | Python | homework_2/1.py | jelic98/raf_mu | 8b965fa41d5f89eeea371ab7b8e15bd167325b5f | [
"Apache-2.0"
] | null | null | null | homework_2/1.py | jelic98/raf_mu | 8b965fa41d5f89eeea371ab7b8e15bd167325b5f | [
"Apache-2.0"
] | null | null | null | homework_2/1.py | jelic98/raf_mu | 8b965fa41d5f89eeea371ab7b8e15bd167325b5f | [
"Apache-2.0"
] | 1 | 2021-05-30T15:26:52.000Z | 2021-05-30T15:26:52.000Z | import math
import numpy as np
import pandas as pd
import tensorflow as tf
import datetime as dt
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import warnings
warnings.filterwarnings('ignore')
# Hiperparametri
epoch_max = 10
alpha_max = 0.025
alpha_min = 0.001
batch_size = 32
window_size = 14
test... | 31.206349 | 95 | 0.694557 |
9b091fad5fab76f79772a42218911d8db0cd0709 | 420 | py | Python | src/pretalx/submission/migrations/0053_reviewphase_can_tag_submissions.py | lili668668/pretalx | 5ba2185ffd7c5f95254aafe25ad3de340a86eadb | [
"Apache-2.0"
] | 418 | 2017-10-05T05:52:49.000Z | 2022-03-24T09:50:06.000Z | src/pretalx/submission/migrations/0053_reviewphase_can_tag_submissions.py | lili668668/pretalx | 5ba2185ffd7c5f95254aafe25ad3de340a86eadb | [
"Apache-2.0"
] | 1,049 | 2017-09-16T09:34:55.000Z | 2022-03-23T16:13:04.000Z | src/pretalx/submission/migrations/0053_reviewphase_can_tag_submissions.py | lili668668/pretalx | 5ba2185ffd7c5f95254aafe25ad3de340a86eadb | [
"Apache-2.0"
] | 155 | 2017-10-16T18:32:01.000Z | 2022-03-15T12:48:33.000Z | # Generated by Django 3.1 on 2020-10-10 14:31
from django.db import migrations, models
| 22.105263 | 67 | 0.621429 |
9b09888d30cc7622a264796e061dbd4cba10dd9a | 440 | py | Python | zzzeeksphinx/theme.py | aidos/zzzeeksphinx | c0fa4be4d40752632e879ec109850caa316ec8af | [
"MIT"
] | 3 | 2017-08-10T22:26:25.000Z | 2017-09-10T16:07:23.000Z | zzzeeksphinx/theme.py | zzzeek/zzzeeksphinx | 663f5c353e9c3ef3f9676384d429f504feaf20d3 | [
"MIT"
] | 9 | 2020-07-18T12:31:49.000Z | 2021-10-08T15:19:43.000Z | zzzeeksphinx/theme.py | zzzeek/zzzeeksphinx | 663f5c353e9c3ef3f9676384d429f504feaf20d3 | [
"MIT"
] | 1 | 2021-02-20T20:57:00.000Z | 2021-02-20T20:57:00.000Z | from os import path
package_dir = path.abspath(path.dirname(__file__))
| 25.882353 | 76 | 0.665909 |
9b0a82ae7938b94fafa2d863a1f8c7ee8913dbbc | 2,674 | py | Python | playground/toy_grads_compositional.py | TUIlmenauAMS/nca_mss | f0deb4b0acd0e317fb50340a57979c2e0a43c293 | [
"MIT"
] | 2 | 2019-08-15T11:51:17.000Z | 2019-08-15T12:59:37.000Z | playground/toy_grads_compositional.py | TUIlmenauAMS/nca_mss | f0deb4b0acd0e317fb50340a57979c2e0a43c293 | [
"MIT"
] | 1 | 2020-08-11T14:25:45.000Z | 2020-08-11T14:25:45.000Z | playground/toy_grads_compositional.py | TUIlmenauAMS/nca_mss | f0deb4b0acd0e317fb50340a57979c2e0a43c293 | [
"MIT"
] | 1 | 2021-03-16T12:30:31.000Z | 2021-03-16T12:30:31.000Z | # -*- coding: utf-8 -*-
__author__ = 'S.I. Mimilakis'
__copyright__ = 'MacSeNet'
import torch
from torch.autograd import Variable
import numpy as np
dtype = torch.DoubleTensor
np.random.seed(2183)
torch.manual_seed(2183)
# D is the "batch size"; N is input dimension;
# H is hidden dimension; N_out is output dimens... | 33.012346 | 112 | 0.726253 |