hexsha stringlengths 40 40 | size int64 5 2.06M | ext stringclasses 10
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 3 248 | max_stars_repo_name stringlengths 5 125 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | 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 3 248 | max_issues_repo_name stringlengths 5 125 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 67k ⌀ | 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 3 248 | max_forks_repo_name stringlengths 5 125 | 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 5 2.06M | avg_line_length float64 1 1.02M | max_line_length int64 3 1.03M | alphanum_fraction float64 0 1 | count_classes int64 0 1.6M | score_classes float64 0 1 | count_generators int64 0 651k | score_generators float64 0 1 | count_decorators int64 0 990k | score_decorators float64 0 1 | count_async_functions int64 0 235k | score_async_functions float64 0 1 | count_documentation int64 0 1.04M | score_documentation float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1e299d7235c61aa6b1b77e65519ef77467227619 | 3,296 | py | Python | tda_api_helper/models.py | alexgolec/tda-api-helper | 6dfb842379883c6e82bd053df072babfe78c3df9 | [
"MIT"
] | null | null | null | tda_api_helper/models.py | alexgolec/tda-api-helper | 6dfb842379883c6e82bd053df072babfe78c3df9 | [
"MIT"
] | 7 | 2021-12-31T01:37:18.000Z | 2022-01-13T04:19:14.000Z | tda_api_helper/models.py | alexgolec/tda-api-helper | 6dfb842379883c6e82bd053df072babfe78c3df9 | [
"MIT"
] | null | null | null | import os
from sqlalchemy import Column, DateTime, ForeignKey, Integer, String
from sqlalchemy import create_engine
from sqlalchemy.orm import declarative_base, relationship
from sqlalchemy.sql import func
Base = declarative_base()
class User(Base):
'''
A discord user.
'''
__tablename__ = 'User'
... | 32.633663 | 82 | 0.660498 | 2,906 | 0.881675 | 0 | 0 | 1,205 | 0.365595 | 0 | 0 | 1,034 | 0.313714 |
1e2a1a4a4d088d0f6af54806d09475266b32060c | 156 | py | Python | servidor_cliente/vax_control/exceptions.py | PedroLucasMiguel/trabalho-engenharia-de-software | e95527f085005c3b717bdc0923f5d14acd65a6f4 | [
"MIT"
] | null | null | null | servidor_cliente/vax_control/exceptions.py | PedroLucasMiguel/trabalho-engenharia-de-software | e95527f085005c3b717bdc0923f5d14acd65a6f4 | [
"MIT"
] | null | null | null | servidor_cliente/vax_control/exceptions.py | PedroLucasMiguel/trabalho-engenharia-de-software | e95527f085005c3b717bdc0923f5d14acd65a6f4 | [
"MIT"
] | null | null | null |
class InvalidFullNameException(Exception):
pass
class InvalidCPFException(Exception):
pass
class EmergencyMeetingException(Exception):
pass
| 14.181818 | 43 | 0.782051 | 149 | 0.955128 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1e2b1e90e65d462ea33a73daa9aaad6d0c9d572b | 46,103 | py | Python | python/sandbox/core.py | geometer/sandbox | 373ec96e69df76744a19b51f7caa865cbc6b58cd | [
"Apache-2.0"
] | 6 | 2020-04-19T11:26:18.000Z | 2021-06-21T18:42:51.000Z | python/sandbox/core.py | geometer/sandbox | 373ec96e69df76744a19b51f7caa865cbc6b58cd | [
"Apache-2.0"
] | 31 | 2020-04-21T17:24:39.000Z | 2020-08-27T15:59:12.000Z | python/sandbox/core.py | geometer/sandbox | 373ec96e69df76744a19b51f7caa865cbc6b58cd | [
"Apache-2.0"
] | null | null | null | """
Core module.
Normally, do not add new construction methods here, do this in scene.py instead.
"""
from enum import Enum, auto, unique
import itertools
import re
import sympy as sp
from typing import List
from .figure import Figure
from .reason import Reason
from .util import LazyComment, Comment, divide
class Co... | 42.064781 | 139 | 0.549899 | 45,791 | 0.993125 | 0 | 0 | 6,754 | 0.146482 | 0 | 0 | 5,922 | 0.128438 |
1e2b6f738581b2742bd1ca8b2f9482692264a225 | 345 | py | Python | while_example.py | ISE2012/ch5 | cce470d418419bff0c9d37233755ee39e1362a27 | [
"MIT"
] | null | null | null | while_example.py | ISE2012/ch5 | cce470d418419bff0c9d37233755ee39e1362a27 | [
"MIT"
] | null | null | null | while_example.py | ISE2012/ch5 | cce470d418419bff0c9d37233755ee39e1362a27 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Wed Oct 14 10:08:03 2020
@author: ucobiz
"""
num = 0 # we have to initialize num to zero
while num <= 0: # so that we can use it here
num = int(input("Enter a positive number: "))
# the while loop has exited b/c num is positive
print("Thank you. The number... | 21.5625 | 51 | 0.611594 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 266 | 0.771014 |
1e2d130d98704094b0d5ff31b8c5866899ab9c1f | 12,633 | py | Python | entry/light_menu.py | way864/BattleTracker | 7204d613165b1c461ee301e5078cd4e2b7a072c4 | [
"MIT"
] | null | null | null | entry/light_menu.py | way864/BattleTracker | 7204d613165b1c461ee301e5078cd4e2b7a072c4 | [
"MIT"
] | null | null | null | entry/light_menu.py | way864/BattleTracker | 7204d613165b1c461ee301e5078cd4e2b7a072c4 | [
"MIT"
] | null | null | null | import math
import tkinter as tk
from tkinter import ttk, messagebox
from tkinter.constants import X, Y
from ttkthemes import ThemedStyle
class PickLight():
def __init__(self, root, widg):
self.root = root
self.widg = widg
self.x = self.root.winfo_pointerx()
self.y = self.root.winf... | 32.392308 | 225 | 0.432676 | 12,403 | 0.981794 | 0 | 0 | 0 | 0 | 0 | 0 | 594 | 0.04702 |
1e2e52b3d0a6b948e6c8f945ff393631222f7c91 | 123 | py | Python | ievv_opensource/demo/demoapp/translation.py | appressoas/ievv_opensource | 63e87827952ddc8f6f86145b79478ef21d6a0990 | [
"BSD-3-Clause"
] | null | null | null | ievv_opensource/demo/demoapp/translation.py | appressoas/ievv_opensource | 63e87827952ddc8f6f86145b79478ef21d6a0990 | [
"BSD-3-Clause"
] | 37 | 2015-10-26T09:14:12.000Z | 2022-02-10T10:35:33.000Z | ievv_opensource/demo/demoapp/translation.py | appressoas/ievv_opensource | 63e87827952ddc8f6f86145b79478ef21d6a0990 | [
"BSD-3-Clause"
] | 1 | 2015-11-06T07:56:34.000Z | 2015-11-06T07:56:34.000Z | from django.utils.translation import gettext_lazy as _
def get_translated_string():
return _('Testing translations')
| 20.5 | 54 | 0.788618 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0.178862 |
1e2ed5d13acdd2a38212da944c819fc33a4a6530 | 11,151 | py | Python | tests/ozpcenter_api/test_api_library.py | emosher/ozp-backend | d31d00bb8a28a8d0c999813f616b398f41516244 | [
"Apache-2.0"
] | 1 | 2018-10-05T17:03:01.000Z | 2018-10-05T17:03:01.000Z | tests/ozpcenter_api/test_api_library.py | emosher/ozp-backend | d31d00bb8a28a8d0c999813f616b398f41516244 | [
"Apache-2.0"
] | 1 | 2017-01-06T19:20:32.000Z | 2017-01-06T19:20:32.000Z | tests/ozpcenter_api/test_api_library.py | emosher/ozp-backend | d31d00bb8a28a8d0c999813f616b398f41516244 | [
"Apache-2.0"
] | 7 | 2016-12-16T15:42:05.000Z | 2020-09-05T01:11:27.000Z | import datetime
import pytz
from django.test import override_settings
from rest_framework import status
from ozpcenter import model_access as generic_model_access
from ozpcenter.scripts import sample_data_generator as data_gen
from tests.ozp.cases import APITestCase
from tests.ozpcenter.helper import APITestHelper
... | 44.426295 | 125 | 0.565958 | 10,793 | 0.967895 | 0 | 0 | 10,830 | 0.971213 | 0 | 0 | 2,730 | 0.244821 |
1e2f08d63ce02790e0954f0c2b48a364a5e50d1b | 2,335 | py | Python | vize/150401012/client.py | hasan-se/blm304 | 893d15282497a426ff96b0c8b6c77d57c406742e | [
"Unlicense"
] | 2 | 2021-04-01T18:51:44.000Z | 2021-06-13T19:46:20.000Z | vize/150401012/client.py | hasan-se/blm304 | 893d15282497a426ff96b0c8b6c77d57c406742e | [
"Unlicense"
] | null | null | null | vize/150401012/client.py | hasan-se/blm304 | 893d15282497a426ff96b0c8b6c77d57c406742e | [
"Unlicense"
] | null | null | null | #Yiğit Yüre 150401012
import socket
import os
import sys
try:
socket.gethostbyname(sys.argv[1])
except socket.error:
print("Geçersiz IP adresi")
sys.exit()
host = sys.argv[1]
port = int(sys.argv[2])
try:
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
print("İstemci soketi başlatıldı")
exce... | 26.235955 | 92 | 0.543041 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 493 | 0.208369 |
1e2fe28bdba3c11579d9119dd5193c9ed892645c | 201,951 | py | Python | bios_pnp/vendors.py | neverware-mirrors/bios_pnp | 56a12a94a536c43ca1a071e6ed502ee3d7400323 | [
"Apache-2.0"
] | null | null | null | bios_pnp/vendors.py | neverware-mirrors/bios_pnp | 56a12a94a536c43ca1a071e6ed502ee3d7400323 | [
"Apache-2.0"
] | null | null | null | bios_pnp/vendors.py | neverware-mirrors/bios_pnp | 56a12a94a536c43ca1a071e6ed502ee3d7400323 | [
"Apache-2.0"
] | 2 | 2018-03-29T01:19:03.000Z | 2021-01-16T14:06:21.000Z | # THIS FILE WAS AUTOGENERATED BY make_vendor_list.py!
# pylint: disable=line-too-long,missing-docstring,too-many-lines
# yapf: disable
import datetime
from bios_pnp import pnp
VENDORS = {
"BUT": pnp.Vendor("21ST CENTURY ENTERTAINMENT", "BUT", datetime.date(2002, 4, 25)),
"TTL": pnp.Vendor("2-Tel B.V", "TTL", da... | 81.794654 | 138 | 0.630163 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 78,137 | 0.38689 |
1e31aafbd6d3baac6fea5ff1008384c247a90db7 | 568 | py | Python | ABC/ABC126/abc126_d.py | yatabis/AtCoder-in-Python3 | cc2948853b549a6b8f39df5685c9e84cda81499d | [
"MIT"
] | null | null | null | ABC/ABC126/abc126_d.py | yatabis/AtCoder-in-Python3 | cc2948853b549a6b8f39df5685c9e84cda81499d | [
"MIT"
] | null | null | null | ABC/ABC126/abc126_d.py | yatabis/AtCoder-in-Python3 | cc2948853b549a6b8f39df5685c9e84cda81499d | [
"MIT"
] | null | null | null | # 問題URL: https://atcoder.jp/contests/abc126/tasks/abc126_d
# 解答URL: https://atcoder.jp/contests/abc126/submissions/14638903
from heapq import heappop, heappush
n = int(input())
a = [[] for _ in range(n)]
for _ in range(n - 1):
u, v, w = map(int, input().split())
a[u - 1].append((v - 1, w))
a[v - 1].append... | 22.72 | 64 | 0.556338 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 130 | 0.225694 |
1e334b9a938fd3c9df3467c8d839369988bb30b6 | 10,029 | py | Python | Codes/utility/load_data.py | CRIPAC-DIG/K-GHRM | 5d73ed701b7753ee402ecfc1dbc4b20c578a4656 | [
"MIT"
] | 3 | 2021-07-19T14:34:07.000Z | 2022-03-31T06:24:38.000Z | Codes/utility/load_data.py | CRIPAC-DIG/K-GHRM | 5d73ed701b7753ee402ecfc1dbc4b20c578a4656 | [
"MIT"
] | null | null | null | Codes/utility/load_data.py | CRIPAC-DIG/K-GHRM | 5d73ed701b7753ee402ecfc1dbc4b20c578a4656 | [
"MIT"
] | 1 | 2021-08-22T07:23:49.000Z | 2021-08-22T07:23:49.000Z | import numpy as np
import random as rd
from time import time
from math import log
import gc
import heapq
import copy
from utility.parser import parse_args
args = parse_args()
class Data(object):
def __init__(self, path, batch_size):
self.batch_size = batch_size
doc_file = path + '/ma... | 41.271605 | 444 | 0.466746 | 9,841 | 0.981254 | 0 | 0 | 0 | 0 | 0 | 0 | 1,282 | 0.127829 |
1e33b7d46ae6ef1f9eed0f3bad1e2a967744885c | 4,379 | py | Python | popseg/models/panopticdeeplab.py | sithu31296/panoptic-segmentation | bd3f5bf51729dcf5698959b3a6b53a1da8e2db65 | [
"MIT"
] | 1 | 2021-11-06T09:00:11.000Z | 2021-11-06T09:00:11.000Z | popseg/models/panopticdeeplab.py | sithu31296/panoptic-segmentation | bd3f5bf51729dcf5698959b3a6b53a1da8e2db65 | [
"MIT"
] | 1 | 2021-11-07T11:59:57.000Z | 2021-11-08T14:29:10.000Z | popseg/models/panopticdeeplab.py | sithu31296/panoptic-segmentation | bd3f5bf51729dcf5698959b3a6b53a1da8e2db65 | [
"MIT"
] | null | null | null | import torch
from torch import nn, Tensor
from torch.nn import functional as F
from .modules import Conv, SeparableConv
from .backbones import ResNet
class ASPP(nn.Module):
def __init__(self, c1, c2, drop_rate=0.1):
super().__init__()
ratios = [1, 6, 12, 18]
self.blocks = nn.ModuleList([
... | 35.893443 | 114 | 0.631879 | 4,002 | 0.913907 | 0 | 0 | 0 | 0 | 0 | 0 | 78 | 0.017812 |
1e35b131f0e0e93445407cb308ded03d523d37ec | 474 | py | Python | heap/easy/qheap.py | YANG007SUN/data_structure | 481e76eb713dc305409eafe4118121f499357ec6 | [
"Apache-2.0"
] | null | null | null | heap/easy/qheap.py | YANG007SUN/data_structure | 481e76eb713dc305409eafe4118121f499357ec6 | [
"Apache-2.0"
] | null | null | null | heap/easy/qheap.py | YANG007SUN/data_structure | 481e76eb713dc305409eafe4118121f499357ec6 | [
"Apache-2.0"
] | null | null | null | # https://www.hackerrank.com/challenges/qheap1/problem?isFullScreen=true
Q = int(input())
hp = []
for _ in range(Q):
ls = list(map(int, input().split()))
if ls[0]==1:
if len(hp)==0:
hp.append(ls[1])
minv = hp[0]
else:
minv = min(ls[1], minv)
hp.ap... | 23.7 | 72 | 0.466245 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 72 | 0.151899 |
1e366c09791897360353aaacf043f05a0076f0a2 | 680 | py | Python | bagpipe/exabgp/message/update/attribute/labels.py | taheri0/MPLS-over-GRE | 7d14b819d396b7779b02ea1150bcaf412cb6d36c | [
"Apache-2.0"
] | 94 | 2015-01-05T17:15:21.000Z | 2022-01-09T20:05:16.000Z | bagpipe/exabgp/message/update/attribute/labels.py | taheri0/MPLS-over-GRE | 7d14b819d396b7779b02ea1150bcaf412cb6d36c | [
"Apache-2.0"
] | 18 | 2015-03-16T16:16:55.000Z | 2017-03-27T11:22:38.000Z | bagpipe/exabgp/message/update/attribute/labels.py | taheri0/MPLS-over-GRE | 7d14b819d396b7779b02ea1150bcaf412cb6d36c | [
"Apache-2.0"
] | 36 | 2015-03-13T02:30:15.000Z | 2021-06-22T10:10:23.000Z | # encoding: utf-8
"""
labels.py
Created by Thomas Mangin on 2009-11-05.
Copyright (c) 2009-2012 Exa Networks. All rights reserved.
Modified by Orange - 2014
"""
from struct import pack
#from bagpipe.exabgp.message.update.attribute import AttributeID,Flag,Attribute
# =================================================... | 19.428571 | 79 | 0.627941 | 330 | 0.485294 | 0 | 0 | 0 | 0 | 0 | 0 | 332 | 0.488235 |
1e369a1097ab91da0411c8e0085e71ff5b62e1cb | 3,087 | py | Python | pygcn/layers.py | linzhongping/fm-gcn | d403eff40c19c7cf7998c894e03b2c45da556ac7 | [
"MIT"
] | 1 | 2020-01-11T12:53:28.000Z | 2020-01-11T12:53:28.000Z | pygcn/layers.py | linzhongping/fm-gcn | d403eff40c19c7cf7998c894e03b2c45da556ac7 | [
"MIT"
] | 11 | 2019-08-06T02:23:32.000Z | 2022-03-11T23:51:20.000Z | pygcn/layers.py | linzhongping/fm-gcn | d403eff40c19c7cf7998c894e03b2c45da556ac7 | [
"MIT"
] | 1 | 2020-01-11T12:53:29.000Z | 2020-01-11T12:53:29.000Z | import math
from torch.nn import Embedding
import torch
from torch.nn.parameter import Parameter
from torch.nn.modules.module import Module
from torch.nn import init
from torch.autograd import Variable
torch.random.manual_seed(2070)
class GraphConvolution(Module):
"""
Simple GCN layer, similar to https://arxiv... | 31.5 | 77 | 0.6184 | 2,867 | 0.922755 | 0 | 0 | 0 | 0 | 0 | 0 | 412 | 0.132604 |
1e36f1e2ae5ddfe99dd5a797c7fd43899e122c3b | 39 | py | Python | jinahub/segmenters/PDFSegmenter/__init__.py | sauravgarg540/executors | c06a16633767346eee96ec019ae6a171f125f6cb | [
"Apache-2.0"
] | null | null | null | jinahub/segmenters/PDFSegmenter/__init__.py | sauravgarg540/executors | c06a16633767346eee96ec019ae6a171f125f6cb | [
"Apache-2.0"
] | null | null | null | jinahub/segmenters/PDFSegmenter/__init__.py | sauravgarg540/executors | c06a16633767346eee96ec019ae6a171f125f6cb | [
"Apache-2.0"
] | null | null | null | from .pdf_segmenter import PDFSegmenter | 39 | 39 | 0.897436 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1e3792ff3e2c12900e4deb81ec079584de749ca2 | 1,623 | py | Python | digest/test/test_digest_tools.py | dongboyan77/quay | 8018e5bd80f17e6d855b58b7d5f2792d92675905 | [
"Apache-2.0"
] | 1 | 2020-10-16T19:30:41.000Z | 2020-10-16T19:30:41.000Z | digest/test/test_digest_tools.py | dongboyan77/quay | 8018e5bd80f17e6d855b58b7d5f2792d92675905 | [
"Apache-2.0"
] | 15 | 2020-06-18T15:32:06.000Z | 2022-03-03T23:06:24.000Z | digest/test/test_digest_tools.py | dongboyan77/quay | 8018e5bd80f17e6d855b58b7d5f2792d92675905 | [
"Apache-2.0"
] | null | null | null | import pytest
from digest.digest_tools import Digest, content_path, InvalidDigestException
@pytest.mark.parametrize(
"digest, output_args",
[
("tarsum.v123123+sha1:123deadbeef", ("tarsum.v123123+sha1", "123deadbeef")),
("tarsum.v1+sha256:123123", ("tarsum.v1+sha256", "123123")),
("tar... | 30.055556 | 84 | 0.593346 | 0 | 0 | 0 | 0 | 1,522 | 0.93777 | 0 | 0 | 732 | 0.451017 |
1e3868fcfa8f7c10952baf06df24ab8e1002802d | 199 | py | Python | skipper-lib/skipper_lib/logger/logger_helper.py | xandrade/katana-skipper | 196a1bd58ceab03dd409bc5bb1b0f9b6218ccd92 | [
"Apache-2.0"
] | 162 | 2021-05-17T20:43:34.000Z | 2022-03-31T04:19:51.000Z | skipper-lib/skipper_lib/logger/logger_helper.py | xandrade/katana-skipper | 196a1bd58ceab03dd409bc5bb1b0f9b6218ccd92 | [
"Apache-2.0"
] | 4 | 2021-10-09T07:21:21.000Z | 2022-02-08T19:35:29.000Z | skipper-lib/skipper_lib/logger/logger_helper.py | xandrade/katana-skipper | 196a1bd58ceab03dd409bc5bb1b0f9b6218ccd92 | [
"Apache-2.0"
] | 30 | 2021-05-30T07:50:37.000Z | 2022-03-10T01:56:02.000Z | import requests
def call(logger, params):
try:
requests.post(logger, json=params)
except requests.exceptions.RequestException as e:
print('Logger service is not available')
| 22.111111 | 53 | 0.698492 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 0.165829 |
1e3951f43593829e9f73863dbf2d7b40f67d59a0 | 1,277 | py | Python | tests/test_block.py | quantum13/mile-csa-python | f3303836ef520886fc58fb8a06ab716ff3065fb2 | [
"MIT"
] | null | null | null | tests/test_block.py | quantum13/mile-csa-python | f3303836ef520886fc58fb8a06ab716ff3065fb2 | [
"MIT"
] | null | null | null | tests/test_block.py | quantum13/mile-csa-python | f3303836ef520886fc58fb8a06ab716ff3065fb2 | [
"MIT"
] | null | null | null | import unittest
from milecsa import Chain, Config
import local_config
def print_block(chain, block):
print("Id: ", block.blockId)
print("Version: ", block.version)
print("Timestamp: ", block.timestamp)
print("Trx count: ", block.transaction_count)
for t in block.transactions:
ass... | 25.54 | 113 | 0.602976 | 732 | 0.573218 | 0 | 0 | 0 | 0 | 0 | 0 | 195 | 0.152702 |
1e3b2896c4c71de1f2f4c4021609291572737a53 | 14,014 | py | Python | index.py | jansusea/video_rent_demo | 17e3d2f239a433fc313c7f2c45fbb46b7573a6a6 | [
"Apache-2.0"
] | 2 | 2019-12-13T06:10:52.000Z | 2019-12-15T14:58:07.000Z | index.py | jansusea/video_rent_demo | 17e3d2f239a433fc313c7f2c45fbb46b7573a6a6 | [
"Apache-2.0"
] | null | null | null | index.py | jansusea/video_rent_demo | 17e3d2f239a433fc313c7f2c45fbb46b7573a6a6 | [
"Apache-2.0"
] | null | null | null | from flask_jsglue import JSGlue
from flask import Flask, render_template, jsonify
from flask_sqlalchemy import SQLAlchemy
from flask_restful import reqparse, Api
app = Flask(__name__)
api = Api(app)
app.config['SQLALCHEMY_DATABASE_URI'] = 'mysql://root:root@localhost:3306/videorent?charset=utf8mb4'
app.config['SQLALCH... | 35.659033 | 125 | 0.630512 | 4,872 | 0.339607 | 0 | 0 | 8,878 | 0.618848 | 0 | 0 | 2,399 | 0.167224 |
1e3bf3816d2775c53ca40f975a39eda86b48bb10 | 11,285 | py | Python | everest/repositories/rdb/querying.py | helixyte/everest | 70c9b93c3061db5cb62428349d18b8fb8566411b | [
"MIT"
] | 3 | 2015-03-10T17:38:25.000Z | 2017-04-29T03:47:06.000Z | everest/repositories/rdb/querying.py | helixyte/everest | 70c9b93c3061db5cb62428349d18b8fb8566411b | [
"MIT"
] | 1 | 2015-03-02T16:02:41.000Z | 2015-03-02T16:02:41.000Z | everest/repositories/rdb/querying.py | cenix/everest | 70c9b93c3061db5cb62428349d18b8fb8566411b | [
"MIT"
] | 1 | 2020-07-12T22:46:59.000Z | 2020-07-12T22:46:59.000Z | """
Querying functionality for the rdb repository.
This file is part of the everest project.
See LICENSE.txt for licensing, CONTRIBUTORS.txt for contributor information.
Created on Jan 7, 2013.
"""
from everest.constants import RESOURCE_ATTRIBUTE_KINDS
from everest.entities.base import Entity
from everest.exceptions ... | 37.616667 | 99 | 0.672751 | 9,331 | 0.82685 | 0 | 0 | 6,184 | 0.547984 | 0 | 0 | 2,574 | 0.22809 |
1e3c4d4cb0dbc4f7cda5f5d0400be26747fb6df0 | 1,259 | py | Python | myLogger.py | DavideFrr/ibmqx_experiments | f9e3c2e85d3fd8ea3f9a69b7bee26c135eabc755 | [
"Apache-2.0"
] | 6 | 2017-11-07T12:01:49.000Z | 2018-04-23T06:45:05.000Z | myLogger.py | DavideFrr/ibmqx_envariance | f9e3c2e85d3fd8ea3f9a69b7bee26c135eabc755 | [
"Apache-2.0"
] | null | null | null | myLogger.py | DavideFrr/ibmqx_envariance | f9e3c2e85d3fd8ea3f9a69b7bee26c135eabc755 | [
"Apache-2.0"
] | 1 | 2018-05-07T06:34:42.000Z | 2018-05-07T06:34:42.000Z | # Copyright 2017 Quantum Information Science, University of Parma, Italy. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2... | 38.151515 | 94 | 0.70135 | 286 | 0.227164 | 0 | 0 | 0 | 0 | 0 | 0 | 897 | 0.71247 |
1e40bb23a7df34b4097b777f22663a9bcc159f40 | 3,742 | py | Python | predicting solar enegy generation/solar.py | imsanjoykb/Working-Analysis | 12267ccbe833ea0daedb34990ba1757f3888e447 | [
"Apache-2.0"
] | 3 | 2020-12-31T19:23:45.000Z | 2022-02-07T16:09:14.000Z | predicting solar enegy generation/solar.py | imsanjoykb/Working-Analysis | 12267ccbe833ea0daedb34990ba1757f3888e447 | [
"Apache-2.0"
] | null | null | null | predicting solar enegy generation/solar.py | imsanjoykb/Working-Analysis | 12267ccbe833ea0daedb34990ba1757f3888e447 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Thu Mar 12 17:57:02 2020
@author: Atique Akhtar
"""
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
from sklearn import metrics
fro... | 29.464567 | 110 | 0.756547 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 987 | 0.263763 |
1e42f7faf93d8ca30408b7f1bf98b2c4582082bf | 7,047 | py | Python | scoring_functions.py | juius/GB-GA | 4b49f1822c5190e8b2bbb8b7403eed30af9e50fd | [
"MIT"
] | 42 | 2018-10-24T09:31:07.000Z | 2021-04-10T04:04:51.000Z | scoring_functions.py | juius/GB-GA | 4b49f1822c5190e8b2bbb8b7403eed30af9e50fd | [
"MIT"
] | null | null | null | scoring_functions.py | juius/GB-GA | 4b49f1822c5190e8b2bbb8b7403eed30af9e50fd | [
"MIT"
] | 25 | 2018-10-24T09:01:59.000Z | 2021-04-24T10:51:22.000Z | '''
Written by Jan H. Jensen 2018
'''
from rdkit import Chem
from rdkit.Chem import AllChem
from rdkit.Chem import Descriptors
from rdkit.DataStructs.cDataStructs import TanimotoSimilarity
from rdkit.Chem import rdFMCS
from rdkit import rdBase
rdBase.DisableLog('rdApp.error')
import numpy as np
import sys
from multi... | 28.188 | 137 | 0.711225 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 931 | 0.132113 |
1e437b4dfd0558c6e8bffff9311d6c58e3c2a593 | 386 | py | Python | mmdet3d/models/middle_encoders/__init__.py | yangzilongdmgy/merge_monster_3d | 0595e36749d32c3d5537a3f707727a137c82076e | [
"Apache-2.0"
] | null | null | null | mmdet3d/models/middle_encoders/__init__.py | yangzilongdmgy/merge_monster_3d | 0595e36749d32c3d5537a3f707727a137c82076e | [
"Apache-2.0"
] | null | null | null | mmdet3d/models/middle_encoders/__init__.py | yangzilongdmgy/merge_monster_3d | 0595e36749d32c3d5537a3f707727a137c82076e | [
"Apache-2.0"
] | null | null | null | # Copyright (c) OpenMMLab. All rights reserved.
from .pillar_scatter import PointPillarsScatter
from .sparse_encoder import SparseEncoder
from .sparse_unet import SparseUNet
from .sparse_encoder_aux import SparseEncoder_AUX
from .sparse_encoderv2 import SparseEncoderV2
__all__ = [
'PointPillarsScatter', 'SparseEnc... | 32.166667 | 78 | 0.813472 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 131 | 0.339378 |
1e45671ec504dd3c04b26925a2e6eba78b31882e | 845 | py | Python | mopy/policies/backup.py | TylerSandman/mopy | df66bb728f6dacee8ee6267a8802a4b71a04fd43 | [
"MIT"
] | null | null | null | mopy/policies/backup.py | TylerSandman/mopy | df66bb728f6dacee8ee6267a8802a4b71a04fd43 | [
"MIT"
] | null | null | null | mopy/policies/backup.py | TylerSandman/mopy | df66bb728f6dacee8ee6267a8802a4b71a04fd43 | [
"MIT"
] | null | null | null | """
Contains result backpropagation policies for MCTS.
All policies should be represented as a function that takes a MCTree and
the result of a game, and updates a node accordingly. Backup policies dictate
how the results of simulated games affect game states beforehand. See the main
Mopy module and MCTree for m... | 36.73913 | 79 | 0.710059 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 697 | 0.824852 |
1e49f827aac986a59bed712075a11f7c49c14620 | 2,917 | py | Python | tests/validation/parameter/test_min_max_length_validation.py | maroux/flex | dfd7c6d79d065d7ce1b0c799e51e9bb5292612b2 | [
"MIT"
] | 160 | 2015-01-15T05:36:44.000Z | 2021-08-04T00:43:54.000Z | tests/validation/parameter/test_min_max_length_validation.py | maroux/flex | dfd7c6d79d065d7ce1b0c799e51e9bb5292612b2 | [
"MIT"
] | 151 | 2015-01-20T16:45:36.000Z | 2022-02-23T21:07:58.000Z | tests/validation/parameter/test_min_max_length_validation.py | maroux/flex | dfd7c6d79d065d7ce1b0c799e51e9bb5292612b2 | [
"MIT"
] | 90 | 2015-01-20T11:19:36.000Z | 2021-08-03T08:58:18.000Z | import pytest
from flex.exceptions import ValidationError
from flex.loading.schema.paths.path_item.operation.parameters import (
parameters_validator,
)
from flex.validation.parameter import (
validate_parameters,
)
from flex.constants import (
PATH,
STRING,
)
from tests.utils import assert_path_in_er... | 20.687943 | 76 | 0.545766 | 0 | 0 | 0 | 0 | 2,516 | 0.86253 | 0 | 0 | 472 | 0.16181 |
1e4ce32c38c583706ec7bfb679d5be87d306fa64 | 2,556 | py | Python | src/python-multiCameraServer/facegrip.py | FRCTeam1277/PavelVisionTests2021 | 1c5b674aed893c3c1d770ca4f124cb6d93615903 | [
"BSD-3-Clause"
] | null | null | null | src/python-multiCameraServer/facegrip.py | FRCTeam1277/PavelVisionTests2021 | 1c5b674aed893c3c1d770ca4f124cb6d93615903 | [
"BSD-3-Clause"
] | null | null | null | src/python-multiCameraServer/facegrip.py | FRCTeam1277/PavelVisionTests2021 | 1c5b674aed893c3c1d770ca4f124cb6d93615903 | [
"BSD-3-Clause"
] | null | null | null | import cv2
import numpy
import math
from enum import Enum
class GripPipeline:
"""
An OpenCV pipeline generated by GRIP.
"""
def __init__(self):
"""initializes all values to presets or None if need to be set
"""
self.__new_size_width = 100.0
self.__new_size_height = ... | 36 | 292 | 0.687011 | 2,493 | 0.975352 | 0 | 0 | 1,150 | 0.449922 | 0 | 0 | 1,088 | 0.425665 |
1e4e63042228f66cff5a912d41b87d37722d2937 | 3,298 | py | Python | Task2/main.py | KKowalewski24/ADZ | 8a04570a1f6f08506572386b2312a259a8308f56 | [
"MIT"
] | null | null | null | Task2/main.py | KKowalewski24/ADZ | 8a04570a1f6f08506572386b2312a259a8308f56 | [
"MIT"
] | null | null | null | Task2/main.py | KKowalewski24/ADZ | 8a04570a1f6f08506572386b2312a259a8308f56 | [
"MIT"
] | null | null | null | from argparse import ArgumentParser, Namespace
from typing import Any, Dict, Tuple
import numpy as np
from sklearn.cluster import DBSCAN
from sklearn.metrics import precision_score, recall_score
from sklearn.neighbors import LocalOutlierFactor
from module.LatexGenerator import LatexGenerator
from module.OutlierAgglom... | 35.462366 | 93 | 0.647665 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 925 | 0.280473 |
1e4f198f80a2b90957f00d6e9a760ddb7d4d2c00 | 1,534 | py | Python | test/test_matching_with_dont_cares.py | matkaczmarek/string-algorithms | df1367e633ee0b3377cbdd67a77982f373fe2459 | [
"MIT"
] | 1 | 2020-06-27T01:33:43.000Z | 2020-06-27T01:33:43.000Z | test/test_matching_with_dont_cares.py | TenGumis/string-algorithms | e57a9dc6150e92ab65cad4a5c1e68533b7166eb7 | [
"MIT"
] | null | null | null | test/test_matching_with_dont_cares.py | TenGumis/string-algorithms | e57a9dc6150e92ab65cad4a5c1e68533b7166eb7 | [
"MIT"
] | null | null | null | import itertools
import os
import unittest
from generator import rand
from approximate_string_matching import dont_care, matching_with_dont_cares
class TestExactMatchingWithDontCaresCase(unittest.TestCase):
run_large = unittest.skipUnless(
os.environ.get('LARGE', False), 'Skip test in small runs')
def make... | 34.088889 | 75 | 0.643416 | 1,385 | 0.902868 | 0 | 0 | 713 | 0.464798 | 0 | 0 | 102 | 0.066493 |
1e4f435f06f8b0f3c610c16275c5fe53209837e7 | 1,902 | py | Python | nengo/utils/network.py | HugoChateauLaurent/nengo | 749893186ee09aa6c621a40da3ffd3878114db9c | [
"BSD-2-Clause"
] | null | null | null | nengo/utils/network.py | HugoChateauLaurent/nengo | 749893186ee09aa6c621a40da3ffd3878114db9c | [
"BSD-2-Clause"
] | null | null | null | nengo/utils/network.py | HugoChateauLaurent/nengo | 749893186ee09aa6c621a40da3ffd3878114db9c | [
"BSD-2-Clause"
] | null | null | null | import nengo
from .magic import decorator
@decorator
def with_self(method, network, args, kwargs):
"""Wraps a method with ``with network:``.
This makes it easy to add methods to a network that create new
Nengo objects. Instead of writing ``with self`` at the top of the method
and indenting everything... | 29.71875 | 76 | 0.640904 | 0 | 0 | 0 | 0 | 722 | 0.3796 | 0 | 0 | 1,016 | 0.534175 |
1e502b66e5902b480d62357920638ef90c30a7e7 | 379 | py | Python | src/utils/Evaluator.py | elfaizamine/loan_default_prediction | c76632b0757e9f23d347e00bcd755d26800a54be | [
"MIT"
] | null | null | null | src/utils/Evaluator.py | elfaizamine/loan_default_prediction | c76632b0757e9f23d347e00bcd755d26800a54be | [
"MIT"
] | null | null | null | src/utils/Evaluator.py | elfaizamine/loan_default_prediction | c76632b0757e9f23d347e00bcd755d26800a54be | [
"MIT"
] | null | null | null | from matplotlib import pyplot as plt
from sklearn import metrics
class Evaluator:
def __init__(self, y_true, y_pred):
"""
calculate auc : area under roc curve
"""
self.auc = self.auc(y_true, y_pred)
def auc(self, y_true, y_pred):
FF, TT, thresholds = metrics.roc_curv... | 19.947368 | 62 | 0.622691 | 309 | 0.815303 | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 0.158311 |
1e509497962389e6ed71b35b5ec1d4dff24d9090 | 779 | py | Python | acme/resources/DVI.py | reinaortega/ACME-oneM2M-CSE | ee45a6a2bcbb0fd0397cfffc0522fa252d7e98be | [
"BSD-3-Clause"
] | null | null | null | acme/resources/DVI.py | reinaortega/ACME-oneM2M-CSE | ee45a6a2bcbb0fd0397cfffc0522fa252d7e98be | [
"BSD-3-Clause"
] | null | null | null | acme/resources/DVI.py | reinaortega/ACME-oneM2M-CSE | ee45a6a2bcbb0fd0397cfffc0522fa252d7e98be | [
"BSD-3-Clause"
] | null | null | null | #
# DVI.py
#
# (c) 2020 by Andreas Kraft
# License: BSD 3-Clause License. See the LICENSE file for further details.
#
# ResourceType: mgmtObj:DeviceInfo
#
from .MgmtObj import *
from Constants import Constants as C
import Utils
defaultDeviceType = 'unknown'
defaultModel = "unknown"
defaultManufacturer = "unknown"
def... | 26.862069 | 74 | 0.752246 | 419 | 0.537869 | 0 | 0 | 0 | 0 | 0 | 0 | 213 | 0.273427 |
1e520e590c8df2d66276d19de77a152e7ca6c316 | 1,272 | py | Python | augmentation.py | chaets/cogniac | aefb4355d3f7b56cbc42e1039e88d709b40051dc | [
"Apache-2.0"
] | 1 | 2021-04-26T18:15:35.000Z | 2021-04-26T18:15:35.000Z | augmentation.py | chaets/cogniac | aefb4355d3f7b56cbc42e1039e88d709b40051dc | [
"Apache-2.0"
] | null | null | null | augmentation.py | chaets/cogniac | aefb4355d3f7b56cbc42e1039e88d709b40051dc | [
"Apache-2.0"
] | 1 | 2021-03-19T21:40:48.000Z | 2021-03-19T21:40:48.000Z | import cv2
import numpy as np
class Augmentation:
"""docstring for Augmentation."""
# def __init__(self):
# pass
# super(Augmentation, self).__init__()
# self.arg = arg
def get_resize(image, lengthScale, breadthScale):
src = cv2.imread(image , cv2.IMREAD_UNCHANGED)
... | 31.02439 | 87 | 0.575472 | 1,240 | 0.974843 | 0 | 0 | 0 | 0 | 0 | 0 | 190 | 0.149371 |
1e529806b916a14d473506fae40b14ec1ce0965a | 557 | py | Python | pages/themes/beginners/unicodeTopics/examples/fromWin1251_toUTF8.py | ProgressBG-Python-Course/ProgressBG-VC2-Python | 03b892a42ee1fad3d4f97e328e06a4b1573fd356 | [
"MIT"
] | null | null | null | pages/themes/beginners/unicodeTopics/examples/fromWin1251_toUTF8.py | ProgressBG-Python-Course/ProgressBG-VC2-Python | 03b892a42ee1fad3d4f97e328e06a4b1573fd356 | [
"MIT"
] | null | null | null | pages/themes/beginners/unicodeTopics/examples/fromWin1251_toUTF8.py | ProgressBG-Python-Course/ProgressBG-VC2-Python | 03b892a42ee1fad3d4f97e328e06a4b1573fd356 | [
"MIT"
] | null | null | null | input_file_name = "windows-1251_encoded_file.txt"
output_file_name = "utf8_encoded_file.txt"
def read_from(enc, file_name):
# open file for read in textmode with encoding:
with open(file_name,"r", encoding="cp1251") as f:
decoded_content = f.read()
return decoded_content
def write_to(enc, content, file_na... | 25.318182 | 54 | 0.746858 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 178 | 0.319569 |
1e53d52936557fab1d6afac1ad13ee2619cc016c | 449 | py | Python | iaso/migrations/0065_auto_20201201_1456.py | ekhalilbsq/iaso | e6400c52aeb4f67ce1ca83b03efa3cb11ef235ee | [
"MIT"
] | 29 | 2020-12-26T07:22:19.000Z | 2022-03-07T13:40:09.000Z | iaso/migrations/0065_auto_20201201_1456.py | ekhalilbsq/iaso | e6400c52aeb4f67ce1ca83b03efa3cb11ef235ee | [
"MIT"
] | 150 | 2020-11-09T15:03:27.000Z | 2022-03-07T15:36:07.000Z | iaso/migrations/0065_auto_20201201_1456.py | ekhalilbsq/iaso | e6400c52aeb4f67ce1ca83b03efa3cb11ef235ee | [
"MIT"
] | 4 | 2020-11-09T10:38:13.000Z | 2021-10-04T09:42:47.000Z | # Generated by Django 3.0.7 on 2020-12-01 14:56
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [("iaso", "0064_instance_deleted")]
operations = [
migrations.AlterField(
model_name="featureflag", name="code", field=models.CharField(max_leng... | 28.0625 | 101 | 0.67706 | 356 | 0.792873 | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 0.244989 |
1e56b55098ede8127120d4b6280c82f5e4c576f7 | 436 | py | Python | examples/app/myapp.py | westurner/celery | 41964f24df4c8ca5d96bf0d644e40778212e10cb | [
"BSD-3-Clause"
] | 1 | 2015-02-27T00:56:02.000Z | 2015-02-27T00:56:02.000Z | examples/app/myapp.py | westurner/celery | 41964f24df4c8ca5d96bf0d644e40778212e10cb | [
"BSD-3-Clause"
] | null | null | null | examples/app/myapp.py | westurner/celery | 41964f24df4c8ca5d96bf0d644e40778212e10cb | [
"BSD-3-Clause"
] | null | null | null | """myapp.py
Usage:
(window1)$ python myapp.py worker -l info
(window2)$ python
>>> from myapp import add
>>> add.delay(16, 16).get()
32
You can also specify the app to use with celeryd::
$ celery worker -l info --app=myapp
"""
from celery import Celery
celery = Celery("myapp", broker="amqp://... | 15.034483 | 59 | 0.626147 | 0 | 0 | 0 | 0 | 46 | 0.105505 | 0 | 0 | 295 | 0.676606 |
1e572a42c6bc0c9afac50afe4337fe89f5d90d51 | 7,795 | py | Python | PyObjCTest/test_cfdictionary.py | linuxfood/pyobjc-framework-Cocoa-test | 3475890f165ab26a740f13d5afe4c62b4423a140 | [
"MIT"
] | null | null | null | PyObjCTest/test_cfdictionary.py | linuxfood/pyobjc-framework-Cocoa-test | 3475890f165ab26a740f13d5afe4c62b4423a140 | [
"MIT"
] | null | null | null | PyObjCTest/test_cfdictionary.py | linuxfood/pyobjc-framework-Cocoa-test | 3475890f165ab26a740f13d5afe4c62b4423a140 | [
"MIT"
] | null | null | null | import CoreFoundation
import objc
from PyObjCTools.TestSupport import TestCase
class TestCFDictionary(TestCase):
def testCreation(self):
dictionary = CoreFoundation.CFDictionaryCreate(
None,
("aap", "noot", "mies", "wim"),
("monkey", "nut", "missy", "john"),
... | 40.180412 | 88 | 0.636947 | 7,713 | 0.98948 | 0 | 0 | 0 | 0 | 0 | 0 | 705 | 0.090443 |
1e578a66b213b846971e0fefcbf7b9c33b776eea | 1,462 | py | Python | hallo/test/modules/hallo_control/test_active_threads.py | joshcoales/Hallo | 17145d8f76552ecd4cbc5caef8924bd2cf0cbf24 | [
"MIT"
] | 1 | 2018-05-19T22:27:20.000Z | 2018-05-19T22:27:20.000Z | hallo/test/modules/hallo_control/test_active_threads.py | joshcoales/Hallo | 17145d8f76552ecd4cbc5caef8924bd2cf0cbf24 | [
"MIT"
] | 75 | 2015-09-26T18:07:18.000Z | 2022-01-04T07:15:11.000Z | hallo/test/modules/hallo_control/test_active_threads.py | SpangleLabs/Hallo | 17145d8f76552ecd4cbc5caef8924bd2cf0cbf24 | [
"MIT"
] | 1 | 2021-04-10T12:02:47.000Z | 2021-04-10T12:02:47.000Z | from threading import Thread
import time
from hallo.events import EventMessage
def test_threads_simple(hallo_getter):
test_hallo = hallo_getter({"hallo_control"})
test_hallo.function_dispatcher.dispatch(
EventMessage(test_hallo.test_server, None, test_hallo.test_user, "active threads")
)
dat... | 37.487179 | 90 | 0.719562 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 205 | 0.140219 |
1e57a3b1f5bc69858ee77a65eb9d305c058566c9 | 3,910 | py | Python | melior_transformers/encoding/encoding_model.py | MeliorAI/meliorTransformers | b2936e1aac23e63e0b737d03975124c31a960812 | [
"Apache-2.0"
] | 1 | 2020-08-06T10:48:49.000Z | 2020-08-06T10:48:49.000Z | melior_transformers/encoding/encoding_model.py | MeliorAI/meliorTransformers | b2936e1aac23e63e0b737d03975124c31a960812 | [
"Apache-2.0"
] | 2 | 2020-02-13T12:45:57.000Z | 2020-04-14T11:30:33.000Z | melior_transformers/encoding/encoding_model.py | MeliorAI/meliorTransformers | b2936e1aac23e63e0b737d03975124c31a960812 | [
"Apache-2.0"
] | 2 | 2020-07-21T12:43:51.000Z | 2021-08-13T15:21:22.000Z | import logging
from typing import Dict, List
import numpy as np
import torch
from numpy import ndarray
from sentence_transformers import SentenceTransformer, models
from melior_transformers.config.global_args import global_args
from melior_transformers.encoding.constants import MODEL_CLASSES
logger = logging.getLogg... | 33.418803 | 88 | 0.615601 | 3,574 | 0.914066 | 0 | 0 | 0 | 0 | 0 | 0 | 1,655 | 0.423274 |
1e57b3a6e4d96a119f56fc088803962c5fcf3de7 | 114 | py | Python | Models/instances/refresh_from_db()/models.py | looking-for-a-job/django-examples | dfafa450668cac5c0351f6c7238b8886511229bf | [
"Unlicense"
] | null | null | null | Models/instances/refresh_from_db()/models.py | looking-for-a-job/django-examples | dfafa450668cac5c0351f6c7238b8886511229bf | [
"Unlicense"
] | null | null | null | Models/instances/refresh_from_db()/models.py | looking-for-a-job/django-examples | dfafa450668cac5c0351f6c7238b8886511229bf | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python
from django.db import models
class MyModel(models.Model):
val = models.IntegerField()
| 16.285714 | 31 | 0.72807 | 60 | 0.526316 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0.184211 |
1e57f2da3f20d5ecc4a09a1464ede0da10a2f32a | 9,234 | py | Python | tortilla/core.py | sunlightlabs/python-tortilla | 4b4f3538b293ccff218610c5a452f69d582130d4 | [
"BSD-3-Clause"
] | 1 | 2019-07-31T02:54:10.000Z | 2019-07-31T02:54:10.000Z | tortilla/core.py | sunlightlabs/python-tortilla | 4b4f3538b293ccff218610c5a452f69d582130d4 | [
"BSD-3-Clause"
] | null | null | null | tortilla/core.py | sunlightlabs/python-tortilla | 4b4f3538b293ccff218610c5a452f69d582130d4 | [
"BSD-3-Clause"
] | 1 | 2015-12-13T08:21:12.000Z | 2015-12-13T08:21:12.000Z | import json
import requests
from requests.exceptions import Timeout
from .util import meta_fix
class SalsaObject(object):
def __init__(self, initial=None):
_data = {}
if initial:
_data.update(initial)
self.__dict__['_data'] = _data
def __getattr__(self, attr):
if a... | 26.084746 | 100 | 0.585662 | 8,315 | 0.900476 | 0 | 0 | 1,019 | 0.110353 | 0 | 0 | 1,108 | 0.119991 |
1e58286e282abcb985fa69b50248bb70d6390ed9 | 3,138 | py | Python | main.py | Qumeric/flappypython | 40f4ab00870f6e5f02ef7de74190c6a277feb034 | [
"MIT"
] | null | null | null | main.py | Qumeric/flappypython | 40f4ab00870f6e5f02ef7de74190c6a277feb034 | [
"MIT"
] | 1 | 2015-04-07T15:17:30.000Z | 2015-04-07T17:34:01.000Z | main.py | Qumeric/flappypython | 40f4ab00870f6e5f02ef7de74190c6a277feb034 | [
"MIT"
] | null | null | null | from pygame import display, font, image, init, time, event
from pygame.locals import *
from random import randrange
from GameObject import Bird, Pipe
SCORE_COLOR = (255, 255, 0)
HIGHSCORE_COLOR = (255, 165, 0)
DISPLAY_WIDTH = 320
DISPLAY_HEIGHT = 480
FONT = None
FONT_SIZE = 22
HOLE_SIZE = 50
PIPE_FREQUENCY = 50
PIP... | 25.512195 | 75 | 0.564691 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 307 | 0.097833 |
1e5841b0b5452fe3f18e4012f65cd3755e441a4a | 950 | py | Python | schema/__init__.py | p4l1ly/automata-safa-capnp | 4aed4f30b217a979f6229db5e3c72f979d31bb76 | [
"BSD-3-Clause"
] | null | null | null | schema/__init__.py | p4l1ly/automata-safa-capnp | 4aed4f30b217a979f6229db5e3c72f979d31bb76 | [
"BSD-3-Clause"
] | null | null | null | schema/__init__.py | p4l1ly/automata-safa-capnp | 4aed4f30b217a979f6229db5e3c72f979d31bb76 | [
"BSD-3-Clause"
] | null | null | null | import os
import capnp
import operator
import sys
from importlib.abc import Loader, MetaPathFinder
from importlib.util import spec_from_loader
from pathlib import Path
from functools import reduce
capnp.remove_import_hook()
my_path = Path(os.path.dirname(os.path.abspath(__file__)))
class _Importer(MetaPathFinder, Lo... | 25 | 73 | 0.653684 | 628 | 0.661053 | 0 | 0 | 571 | 0.601053 | 0 | 0 | 14 | 0.014737 |
1e589b21bf05fda4a1eedf746c2f50a2e1830a1e | 17,283 | py | Python | queryDB.py | ElsevierSoftwareX/SOFTX-D-20-00075 | 825efe6a95011d055eaa19fabed42e9dad73b164 | [
"BSD-3-Clause"
] | 3 | 2021-09-15T03:51:14.000Z | 2022-03-05T15:36:47.000Z | queryDB.py | ElsevierSoftwareX/SOFTX-D-20-00075- | 06de316e3973b65e28ca7e047b5b1674640e7e5c | [
"BSD-3-Clause"
] | null | null | null | queryDB.py | ElsevierSoftwareX/SOFTX-D-20-00075- | 06de316e3973b65e28ca7e047b5b1674640e7e5c | [
"BSD-3-Clause"
] | 3 | 2021-07-21T10:25:59.000Z | 2022-03-19T21:16:33.000Z | #!/usr/bin/env python3
from astroquery.simbad import Simbad
from astroquery.vizier import Vizier
from cat_setup import src_localDB, src_onlineDB
from buildDB import addData, check_ldb
import sys, os
import csv
from more_itertools import locate
import argparse
import subprocess
from pathlib import Path
# for the spect... | 43.977099 | 151 | 0.525025 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,100 | 0.352948 |
1e591f8ce49d4cfdc76a7051dbb0e79d30e622d3 | 1,690 | py | Python | celescope/tcr_fl/multi_tcr_fl.py | susucy/CeleScope | a5d9501ff8bd9dc067b9718070876acb0767a6cf | [
"MIT"
] | null | null | null | celescope/tcr_fl/multi_tcr_fl.py | susucy/CeleScope | a5d9501ff8bd9dc067b9718070876acb0767a6cf | [
"MIT"
] | null | null | null | celescope/tcr_fl/multi_tcr_fl.py | susucy/CeleScope | a5d9501ff8bd9dc067b9718070876acb0767a6cf | [
"MIT"
] | null | null | null | from celescope.__init__ import __CONDA__
from celescope.tcr_fl.__init__ import __STEPS__, __ASSAY__
from celescope.tools.Multi import Multi
class Multi_tcr_fl(Multi):
def custome_args(self):
self.parser.add_argument('--thread', help='thread', default=4)
self.parser.add_argument("--nCell", help="se... | 30.727273 | 82 | 0.560947 | 1,389 | 0.821893 | 0 | 0 | 0 | 0 | 0 | 0 | 597 | 0.353254 |
1e59255c7c35e3e7f82903f515a10a05864028c1 | 1,253 | py | Python | tests/orthanc/test_orthanc_patient_deleters.py | gacou54/pyorthanc | 6b67a0d58567060e2e88ae5f2d15453fa47561aa | [
"MIT"
] | 12 | 2019-02-25T04:24:39.000Z | 2022-03-22T11:43:46.000Z | tests/orthanc/test_orthanc_patient_deleters.py | gacou54/pyorthanc | 6b67a0d58567060e2e88ae5f2d15453fa47561aa | [
"MIT"
] | 5 | 2021-06-02T00:20:44.000Z | 2022-03-15T15:09:22.000Z | tests/orthanc/test_orthanc_patient_deleters.py | gacou54/pyorthanc | 6b67a0d58567060e2e88ae5f2d15453fa47561aa | [
"MIT"
] | 1 | 2020-05-11T14:57:17.000Z | 2020-05-11T14:57:17.000Z | # coding: utf-8
# author: gabriel couture
import unittest
from pyorthanc import Orthanc
from tests import setup_server
from tests.data import a_patient
class TestOrthancPatientDeleters(unittest.TestCase):
@classmethod
def setUpClass(cls) -> None:
global orthanc_subprocess
orthanc_subprocess ... | 28.477273 | 88 | 0.747007 | 1,097 | 0.875499 | 0 | 0 | 344 | 0.274541 | 0 | 0 | 40 | 0.031923 |
1e5a603f27c754d49e48eda058d899211d90dc68 | 1,761 | py | Python | logs_manager/migrations/0001_initial.py | adwait-thattey/raygun_api | 9d5571de452fbf70d34b9583ebc42eb662292f61 | [
"MIT"
] | null | null | null | logs_manager/migrations/0001_initial.py | adwait-thattey/raygun_api | 9d5571de452fbf70d34b9583ebc42eb662292f61 | [
"MIT"
] | 7 | 2020-06-06T01:40:06.000Z | 2022-02-10T09:12:56.000Z | logs_manager/migrations/0001_initial.py | adwait-thattey/raygun_api | 9d5571de452fbf70d34b9583ebc42eb662292f61 | [
"MIT"
] | 1 | 2021-08-16T13:23:34.000Z | 2021-08-16T13:23:34.000Z | # Generated by Django 2.1.5 on 2020-07-24 05:14
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='ErrorLogObject',
fields=[
('id', models.Aut... | 34.529412 | 114 | 0.531516 | 1,668 | 0.947189 | 0 | 0 | 0 | 0 | 0 | 0 | 277 | 0.157297 |
1e5ab18416df4205e5bf855cc62673e0bc16722c | 467 | py | Python | webhud/signaling/test/objects_test.py | eigendude/beachfronter | dd4eb5d719d93047c24cfaf32a96b291bf9056d8 | [
"Apache-2.0"
] | null | null | null | webhud/signaling/test/objects_test.py | eigendude/beachfronter | dd4eb5d719d93047c24cfaf32a96b291bf9056d8 | [
"Apache-2.0"
] | null | null | null | webhud/signaling/test/objects_test.py | eigendude/beachfronter | dd4eb5d719d93047c24cfaf32a96b291bf9056d8 | [
"Apache-2.0"
] | null | null | null | ################################################################################
#
# Copyright (C) 2020 Aclima, Inc
# This file is part of aclima-schema - https://github.com/Aclima/aclima-schema
#
# SPDX-License-Identifier: MIT
# See DOCS/LICENSING.md for more information.
#
########################################... | 27.470588 | 80 | 0.462527 | 86 | 0.184154 | 0 | 0 | 0 | 0 | 0 | 0 | 352 | 0.753747 |
1e5b83ffe1a421082cfb31bd3175565e924b9fe8 | 2,121 | py | Python | recommender/rest-api/globals.py | haiphucnguyen/MachineLearning | ecdc708a7f4a1a7917fd97f3374034b0f0a013aa | [
"MIT"
] | null | null | null | recommender/rest-api/globals.py | haiphucnguyen/MachineLearning | ecdc708a7f4a1a7917fd97f3374034b0f0a013aa | [
"MIT"
] | 18 | 2020-07-17T08:24:34.000Z | 2022-03-02T04:16:18.000Z | recommender/rest-api/globals.py | haiphucnguyen/MachineLearning | ecdc708a7f4a1a7917fd97f3374034b0f0a013aa | [
"MIT"
] | null | null | null | from pyspark.sql import SparkSession
from pyspark.ml.evaluation import RegressionEvaluator
from pyspark.ml.recommendation import ALS
class Globals:
def __init__(self):
print("Init Globals")
@staticmethod
def recommendator():
spark = SparkSession.builder.appName("Recommendation ALS").getOr... | 48.204545 | 125 | 0.644979 | 1,962 | 0.925035 | 0 | 0 | 1,887 | 0.889675 | 0 | 0 | 665 | 0.313531 |
1e5b8c4c2a735704a76ae6bbaabad7224e52a26b | 2,873 | py | Python | print_results.py | UlianaDzhumok/dog-breed-image-classifier | e65b9853e20665eab0090c98956b0f71625cc398 | [
"MIT"
] | null | null | null | print_results.py | UlianaDzhumok/dog-breed-image-classifier | e65b9853e20665eab0090c98956b0f71625cc398 | [
"MIT"
] | null | null | null | print_results.py | UlianaDzhumok/dog-breed-image-classifier | e65b9853e20665eab0090c98956b0f71625cc398 | [
"MIT"
] | null | null | null | def print_results(results_dic, results_stats_dic, model,
print_incorrect_dogs = False, print_incorrect_breed = False):
"""
Prints summary results on the classification and then prints incorrectly
classified dogs and incorrectly classified dog breeds if user indicates
they want thos... | 54.207547 | 121 | 0.587887 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,043 | 0.711103 |
1e5d69d46fbe2dcd9c5a3139cb2e51788974251b | 508 | py | Python | compiled/construct/expr_io_pos.py | smarek/ci_targets | c5edee7b0901fd8e7f75f85245ea4209b38e0cb3 | [
"MIT"
] | 4 | 2017-04-08T12:55:11.000Z | 2020-12-05T21:09:31.000Z | compiled/construct/expr_io_pos.py | smarek/ci_targets | c5edee7b0901fd8e7f75f85245ea4209b38e0cb3 | [
"MIT"
] | 7 | 2018-04-23T01:30:33.000Z | 2020-10-30T23:56:14.000Z | compiled/construct/expr_io_pos.py | smarek/ci_targets | c5edee7b0901fd8e7f75f85245ea4209b38e0cb3 | [
"MIT"
] | 6 | 2017-04-08T11:41:14.000Z | 2020-10-30T22:47:31.000Z | from construct import *
from construct.lib import *
expr_io_pos__all_plus_number = Struct(
'my_str' / NullTerminated(GreedyString(encoding='UTF-8'), term=b'\x00', include=False, consume=True),
'body' / FixedSized(((stream_size(_io) - stream_tell(_io)) - 2), GreedyBytes),
'number' / Int16ul,
)
expr_io_pos = Struct(... | 31.75 | 102 | 0.751969 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 0.11811 |
1e5e463f2d8698101b4daa4b95c205a9cfcb45c4 | 1,175 | py | Python | app/services/QueryService.py | fredrik-aschehoug/KG-Enricher | 56f1ac192c2542d8412235ee6897d22278a5259e | [
"MIT"
] | null | null | null | app/services/QueryService.py | fredrik-aschehoug/KG-Enricher | 56f1ac192c2542d8412235ee6897d22278a5259e | [
"MIT"
] | null | null | null | app/services/QueryService.py | fredrik-aschehoug/KG-Enricher | 56f1ac192c2542d8412235ee6897d22278a5259e | [
"MIT"
] | null | null | null | from aiosparql.client import SPARQLClient
from typing import Union
from models.types import sparql_bindings
class QueryService():
"""
Base class used for querying SPARQL endpoints.
Uses the aiosparql SPARQLClient to support sending async requests.
"""
_user_agent = "KG-Enricher"
_headers = {'... | 35.606061 | 109 | 0.693617 | 1,063 | 0.904681 | 0 | 0 | 0 | 0 | 680 | 0.578723 | 368 | 0.313191 |
1e5fbb0ee05033c7efad72d8169c33b9ad7669f2 | 2,463 | py | Python | books/management/commands/email_books.py | phildini/bockus | 004508166f5b1a7c3c4d8accf32578a80379b385 | [
"MIT"
] | 3 | 2015-07-15T05:29:17.000Z | 2021-06-23T21:50:25.000Z | books/management/commands/email_books.py | phildini/bockus | 004508166f5b1a7c3c4d8accf32578a80379b385 | [
"MIT"
] | 4 | 2020-02-11T22:15:04.000Z | 2021-06-10T17:41:51.000Z | books/management/commands/email_books.py | phildini/bockus | 004508166f5b1a7c3c4d8accf32578a80379b385 | [
"MIT"
] | null | null | null | import dropbox
import json
import logging
from django.conf import settings
from django.core.management.base import BaseCommand
from django.core.mail import EmailMessage
from allauth.socialaccount.models import SocialApp, SocialToken
from books.forms import ImportForm
from books.models import (
Book,
BookFil... | 33.283784 | 82 | 0.578157 | 1,978 | 0.803086 | 0 | 0 | 0 | 0 | 0 | 0 | 293 | 0.118961 |
1e6038d2a3f2553efb2ffd56b40294b3bf3b78f9 | 511 | py | Python | 2018/Insomni'hack teaser/Rule86/outputs/super_cipher_partial.py | birdsoup/CTF-Writeups | feaeda46a5afa3dabbfa81adcbe184f7bc24d5cb | [
"MIT"
] | 3 | 2019-03-03T00:08:19.000Z | 2021-06-09T14:20:41.000Z | 2018/Insomni'hack teaser/Rule86/outputs/super_cipher_partial.py | birdsoup/CTF-Writeups | feaeda46a5afa3dabbfa81adcbe184f7bc24d5cb | [
"MIT"
] | null | null | null | 2018/Insomni'hack teaser/Rule86/outputs/super_cipher_partial.py | birdsoup/CTF-Writeups | feaeda46a5afa3dabbfa81adcbe184f7bc24d5cb | [
"MIT"
] | 1 | 2021-06-18T08:56:05.000Z | 2021-06-18T08:56:05.000Z | #!/usr/bin/env python3
import argparse
import sys
parser = argparse.ArgumentParser()
parser.add_argument("key")
args = parser.parse_args()
RULE = [86 >> i & 1 for i in range(8)]
N_BYTES = 32
N = 8 * N_BYTES
def next(x):
x = (x & 1) << N+1 | x << 1 | x >> N-1
y = 0
for i in range(N):
y |= RULE[(x >> i) & 7... | 18.925926 | 54 | 0.626223 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 0.176125 |
1e61c19b1fa849a545aa5955ebc1129a3e165719 | 284 | py | Python | zencad/interactive/axis.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | 5 | 2018-04-11T14:11:40.000Z | 2018-09-12T19:03:36.000Z | zencad/interactive/axis.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | null | null | null | zencad/interactive/axis.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | null | null | null | from zencad.interactive.interactive_object import InteractiveObject
from OCC.Core.AIS import AIS_Axis
class AxisInteractiveObject(InteractiveObject):
def __init__(self, axis, color):
self.axis = axis
super().__init__(AIS_Axis(axis.to_Geom_Line()), color=color)
| 28.4 | 68 | 0.760563 | 178 | 0.626761 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1e61f53390c65e1afc1cca81347aa6ed53a9c8bd | 11,464 | py | Python | code/python/report_marks.py | nsob1c12/tetepy | 2defb61dea95c69747b07d7c6b3e106b604455ee | [
"BSD-3-Clause"
] | null | null | null | code/python/report_marks.py | nsob1c12/tetepy | 2defb61dea95c69747b07d7c6b3e106b604455ee | [
"BSD-3-Clause"
] | null | null | null | code/python/report_marks.py | nsob1c12/tetepy | 2defb61dea95c69747b07d7c6b3e106b604455ee | [
"BSD-3-Clause"
] | 1 | 2018-11-21T09:53:44.000Z | 2018-11-21T09:53:44.000Z | #!/usr/bin/env python
#
# This file is part of the TeTePy software
#
# Copyright (c) 2017, 2018, University of Southampton
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions ... | 42.459259 | 135 | 0.657188 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,699 | 0.409892 |
1e6276643a563a4ed15fee529d45c22bb727a6be | 9,871 | py | Python | Python_Code/PD_Naive/naive_pd.py | TomerEven/Pocket_Dictionary | 29f906855f5e52eec61d00cb6e8fa0fb5e90a8e4 | [
"Apache-2.0"
] | 2 | 2019-12-10T03:41:02.000Z | 2021-11-14T12:30:36.000Z | Python_Code/PD_Naive/naive_pd.py | TomerEven/Pocket_Dictionary | 29f906855f5e52eec61d00cb6e8fa0fb5e90a8e4 | [
"Apache-2.0"
] | null | null | null | Python_Code/PD_Naive/naive_pd.py | TomerEven/Pocket_Dictionary | 29f906855f5e52eec61d00cb6e8fa0fb5e90a8e4 | [
"Apache-2.0"
] | 2 | 2019-12-10T03:41:07.000Z | 2020-06-02T16:57:31.000Z | from typing import *
class naive_pd(object):
"""
:param m Quotients (q_i) range interval. (forall q_i, q_i in [m])
:param f Number of elements in PD.
:param l Remainder (r_i) length. (|r_i| = l)
"""
head: list
body: list
r: int
m: int
max_capacity: int
capacity: int
d... | 25.181122 | 96 | 0.564279 | 4,972 | 0.503698 | 0 | 0 | 0 | 0 | 0 | 0 | 2,587 | 0.262081 |
1e63fbcaff13f5411059c99a4d6c190d9c025da4 | 322 | py | Python | count_by_provider.py | SunshineStateDigitalNetwork/harvest_utils | 1918732da2e485d45832766245e4beaae6da5b5f | [
"MIT"
] | null | null | null | count_by_provider.py | SunshineStateDigitalNetwork/harvest_utils | 1918732da2e485d45832766245e4beaae6da5b5f | [
"MIT"
] | null | null | null | count_by_provider.py | SunshineStateDigitalNetwork/harvest_utils | 1918732da2e485d45832766245e4beaae6da5b5f | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import sys, json
from collections import Counter
data_providers = []
with open(sys.argv[1]) as f:
rec = json.load(f)
for record in rec:
data_providers.append(record['dataProvider'])
counts = Counter(data_providers)
for item in list(counts):
print(item, ': ', counts[item])... | 17.888889 | 53 | 0.680124 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0.124224 |
1e676f04e361424c9b9b57dd01173e2fd0c3d4da | 1,201 | py | Python | corehq/apps/es/tests/test_utils.py | akashkj/commcare-hq | b00a62336ec26cea1477dfb8c048c548cc462831 | [
"BSD-3-Clause"
] | 471 | 2015-01-10T02:55:01.000Z | 2022-03-29T18:07:18.000Z | corehq/apps/es/tests/test_utils.py | akashkj/commcare-hq | b00a62336ec26cea1477dfb8c048c548cc462831 | [
"BSD-3-Clause"
] | 14,354 | 2015-01-01T07:38:23.000Z | 2022-03-31T20:55:14.000Z | corehq/apps/es/tests/test_utils.py | akashkj/commcare-hq | b00a62336ec26cea1477dfb8c048c548cc462831 | [
"BSD-3-Clause"
] | 175 | 2015-01-06T07:16:47.000Z | 2022-03-29T13:27:01.000Z | from datetime import date, datetime
from pytz import UTC, timezone
from ..utils import es_format_datetime
ET = timezone('US/Eastern')
def test_es_format_datetime():
def _assert_returns(date_or_datetime, expected):
actual = es_format_datetime(date_or_datetime)
assert actual == expected, f"Expect... | 42.892857 | 98 | 0.612823 | 0 | 0 | 1,061 | 0.88343 | 0 | 0 | 0 | 0 | 343 | 0.285595 |
1e676fac880fc5466a7425decb22605ffc682c32 | 1,072 | py | Python | tools/build_dictionary_char.py | Yasumasa/gated_word_char_rlm_ym | 0d35e5894416a531a5bee14f7df8dea38a1c8484 | [
"BSD-3-Clause"
] | 32 | 2016-07-11T00:32:27.000Z | 2022-02-27T04:21:36.000Z | tools/build_dictionary_char.py | Yasumasa/gated_word_char_rlm_ym | 0d35e5894416a531a5bee14f7df8dea38a1c8484 | [
"BSD-3-Clause"
] | 1 | 2017-08-06T19:18:23.000Z | 2017-08-14T02:12:15.000Z | tools/build_dictionary_char.py | Yasumasa/gated_word_char_rlm_ym | 0d35e5894416a531a5bee14f7df8dea38a1c8484 | [
"BSD-3-Clause"
] | 16 | 2016-08-29T08:45:55.000Z | 2020-11-03T02:44:01.000Z | """
Build a character dictionary
"""
import numpy
import cPickle as pkl
import sys
import fileinput
from collections import OrderedDict
def main(filenames):
char_freqs = OrderedDict()
for filename in filenames:
print '==> Processing', filename
with open(filename, 'r') as f:
line... | 25.52381 | 67 | 0.593284 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 142 | 0.132463 |
1e69077c7c10e476b61bed366627a53116787801 | 2,815 | py | Python | SessionTools/sort_sessions.py | DynamoDS/Coulomb | 705e9a44c44ebdbe5650697b896000e8c42d8b56 | [
"MIT"
] | 3 | 2015-09-23T17:52:44.000Z | 2020-04-11T11:15:59.000Z | SessionTools/sort_sessions.py | DynamoDS/Coulomb | 705e9a44c44ebdbe5650697b896000e8c42d8b56 | [
"MIT"
] | null | null | null | SessionTools/sort_sessions.py | DynamoDS/Coulomb | 705e9a44c44ebdbe5650697b896000e8c42d8b56 | [
"MIT"
] | 1 | 2020-08-01T12:39:25.000Z | 2020-08-01T12:39:25.000Z | # This tool takes the raw usage data and splits it into session files
import gzip
import json
import base64
import sys
import traceback
import time
import random
import os
import sys
VERBOSE = True
err = 0
MAX_MEM = 1 * 1000 * 1000 * 1000
def log(s):
if VERBOSE:
print time.strftime("%Y-%m-%d %H:%M:%S")... | 23.655462 | 88 | 0.580817 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 428 | 0.152043 |
1e69c26d6ae416358faf6b8f9971b4dbfaf0f463 | 37,047 | py | Python | sfftk/unittests/test_notes.py | ssabrii/sfftk | 5cab37f1c9ecb9c2507672fd3232b1b9b5405511 | [
"Apache-2.0"
] | null | null | null | sfftk/unittests/test_notes.py | ssabrii/sfftk | 5cab37f1c9ecb9c2507672fd3232b1b9b5405511 | [
"Apache-2.0"
] | null | null | null | sfftk/unittests/test_notes.py | ssabrii/sfftk | 5cab37f1c9ecb9c2507672fd3232b1b9b5405511 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Unit tests for :py:mod:`sfftk.core.notes` package"""
from __future__ import division, print_function
import os
import shlex
import shutil
import sys
import unittest
from urllib import urlencode
import __init__ as tests
from .. import BASE_DIR
from .. import schema
fro... | 42.730104 | 138 | 0.625341 | 35,799 | 0.966287 | 0 | 0 | 476 | 0.012848 | 0 | 0 | 7,947 | 0.214506 |
1e6a40545d687c3ecf51841513c392eec05aec51 | 398 | py | Python | projects/NameSorter.py | SilverBlaze109/VAMPY2017 | 68197544009aebc494b640b5d266c97ad6331c00 | [
"MIT"
] | null | null | null | projects/NameSorter.py | SilverBlaze109/VAMPY2017 | 68197544009aebc494b640b5d266c97ad6331c00 | [
"MIT"
] | null | null | null | projects/NameSorter.py | SilverBlaze109/VAMPY2017 | 68197544009aebc494b640b5d266c97ad6331c00 | [
"MIT"
] | null | null | null | import Merge_Sorting
read_filename = "/home/vampy/data/test1"
write_filename = "/home/vampy/data/test2"
fp = open(read_filename, "r")
N = int(fp.readline())
names = []
for i in range(N):
names.append(fp.readline().strip())
fp.close()
Merge_Sorting.mergesort(names)
fp = open(write_filename, "w")
fp.write("{0}\n".f... | 18.090909 | 41 | 0.675879 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66 | 0.165829 |
1e6d8fb3d8f40dfbf384a556f19e918e977fd462 | 252 | py | Python | api/conf/config.py | JackyCJ/flask-restful-login | 1bd31ee3da8ca667dc7592123ad5ee700dcb2595 | [
"MIT"
] | 76 | 2017-07-15T15:52:51.000Z | 2022-03-30T04:45:05.000Z | api/conf/config.py | JackyCJ/flask-restful-login | 1bd31ee3da8ca667dc7592123ad5ee700dcb2595 | [
"MIT"
] | 83 | 2019-08-10T06:58:11.000Z | 2022-03-31T16:29:37.000Z | api/conf/config.py | JackyCJ/flask-restful-login | 1bd31ee3da8ca667dc7592123ad5ee700dcb2595 | [
"MIT"
] | 23 | 2016-07-14T09:06:51.000Z | 2022-03-28T07:54:39.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
import os
basedir = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
# Create a database in project and get it's path.
SQLALCHEMY_DATABASE_URI = "sqlite:///" + os.path.join(basedir, "test.db")
| 25.2 | 73 | 0.674603 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 114 | 0.452381 |
1e6eefc3ab5404b4e42d6811569ac96399e99d1c | 755 | py | Python | src/discolight/query.py | denzel-datature/discolight | 7c8309d3f883263b2e4cae0b289f17be1d1c07ea | [
"MIT"
] | 27 | 2020-07-23T08:09:25.000Z | 2022-03-01T08:24:43.000Z | src/discolight/query.py | denzel-datature/discolight | 7c8309d3f883263b2e4cae0b289f17be1d1c07ea | [
"MIT"
] | 7 | 2020-08-05T07:26:55.000Z | 2020-12-31T04:20:40.000Z | src/discolight/query.py | denzel-datature/discolight | 7c8309d3f883263b2e4cae0b289f17be1d1c07ea | [
"MIT"
] | 6 | 2020-07-27T04:30:01.000Z | 2020-08-13T02:39:25.000Z | """A parser for YAML queries used by the Augmentor class."""
import yamale
schema = yamale.make_schema(content="""
input:
images:
loader: str()
options: map()
annotations:
loader: str()
options: map()
output:
images:
writer: str()
options: map()
annotations:
writer: str()
option... | 18.414634 | 60 | 0.651656 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 537 | 0.711258 |
1e70a8cf3463ffe9421d2adf4f0d082d0018a938 | 1,423 | py | Python | migrations/versions/efd88a3c30a8_.py | andraune/Run4IT_BackEnd | a481427a0d1189a1f08c42e7ac1b452af6bbfc8d | [
"MIT"
] | 1 | 2022-03-29T06:11:20.000Z | 2022-03-29T06:11:20.000Z | migrations/versions/efd88a3c30a8_.py | andraune/run4it_backend | a481427a0d1189a1f08c42e7ac1b452af6bbfc8d | [
"MIT"
] | null | null | null | migrations/versions/efd88a3c30a8_.py | andraune/run4it_backend | a481427a0d1189a1f08c42e7ac1b452af6bbfc8d | [
"MIT"
] | null | null | null | """empty message
Revision ID: efd88a3c30a8
Revises: edf37629d0f4
Create Date: 2020-08-23 12:34:41.656176
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'efd88a3c30a8'
down_revision = 'edf37629d0f4'
branch_labels = None
depends_on = None
def upgrade():
# ... | 33.093023 | 98 | 0.697119 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 620 | 0.435699 |
1e7303e5e2805c01c2695e6e83bc9c5498d330bd | 2,497 | py | Python | code/model/loss/loss.py | ZJU-Fangyin/KCL | 1d1002aeee785e4eb1dfc121d6cbb9cefa4e985c | [
"MIT"
] | 24 | 2021-12-04T13:44:22.000Z | 2022-03-19T08:10:19.000Z | code/model/loss/loss.py | Fangyin1994/KCL | 004f5681b77e4e75c791c909696fdb8a208501a2 | [
"MIT"
] | 3 | 2021-12-20T08:14:06.000Z | 2022-03-28T08:03:09.000Z | code/model/loss/loss.py | Fangyin1994/KCL | 004f5681b77e4e75c791c909696fdb8a208501a2 | [
"MIT"
] | 1 | 2021-12-22T09:29:55.000Z | 2021-12-22T09:29:55.000Z |
from .loss_computer import NCESoftmaxLoss
import torch.nn.functional as F
import torch.nn as nn
import torch
import logging
import pdb
logger = logging.getLogger()
class ContrastiveLoss(nn.Module):
def __init__(self, loss_computer: str, temperature: float, args) -> None:
super().__init__()
self.d... | 34.205479 | 96 | 0.64998 | 1,942 | 0.777733 | 0 | 0 | 0 | 0 | 0 | 0 | 498 | 0.199439 |
1e73e5b2fe9aa6d77e943c822dde424875f561fa | 3,359 | py | Python | Script_fullBandCapture.py | gdavila/PyDocsisMon | 461bb05a732f9c20bfcca18624d266f7ff89f8f2 | [
"MIT"
] | 4 | 2019-06-27T13:49:09.000Z | 2021-07-26T05:30:04.000Z | Script_fullBandCapture.py | gdavila/PyDocsisMon | 461bb05a732f9c20bfcca18624d266f7ff89f8f2 | [
"MIT"
] | null | null | null | Script_fullBandCapture.py | gdavila/PyDocsisMon | 461bb05a732f9c20bfcca18624d266f7ff89f8f2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Jan 15 12:16:14 2018
@author: gdavila
This is a example to get Full Band Channel information
On Docsis 3.0 Full Band Channels is a feature that allows to get detailed info
about the power distribution of the espectrum
"""
import docsisMon.cmDevices as cmDevices
from docsis... | 30.816514 | 130 | 0.533194 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 644 | 0.191724 |
1e76a6d7201c50230ea9c60f989c6e9e8acbee75 | 398 | py | Python | examples/crack_egg.py | mkclairhong/quail | a6d6502746c853518a670d542222eb5fc2b05542 | [
"MIT"
] | 1 | 2018-05-30T15:33:26.000Z | 2018-05-30T15:33:26.000Z | examples/crack_egg.py | mkclairhong/quail | a6d6502746c853518a670d542222eb5fc2b05542 | [
"MIT"
] | 7 | 2018-06-21T13:21:22.000Z | 2018-07-24T21:20:05.000Z | examples/crack_egg.py | mkclairhong/quail | a6d6502746c853518a670d542222eb5fc2b05542 | [
"MIT"
] | 1 | 2018-06-01T17:39:48.000Z | 2018-06-01T17:39:48.000Z | # -*- coding: utf-8 -*-
"""
=============================
Crack Egg
=============================
This an example of how to crack an egg (take a slice of subjects/lists from it)
"""
# Code source: Andrew Heusser
# License: MIT
#import
import quail
#load data
egg = quail.load_example_data()
#crack egg
cracked_egg ... | 16.583333 | 79 | 0.59799 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 252 | 0.633166 |
1e77a46aa8467b03a2158c13c41151ff7714391b | 4,674 | py | Python | misc_analysis.py | adamnahari/bch_clinical_lab_indicators_covid19_misc | 2e29c2f69678e6d4ff1c3f55150588f207afc874 | [
"MIT"
] | null | null | null | misc_analysis.py | adamnahari/bch_clinical_lab_indicators_covid19_misc | 2e29c2f69678e6d4ff1c3f55150588f207afc874 | [
"MIT"
] | null | null | null | misc_analysis.py | adamnahari/bch_clinical_lab_indicators_covid19_misc | 2e29c2f69678e6d4ff1c3f55150588f207afc874 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
import pandas as pd
from statsmodels.stats.proportion import proportion_confint
from itertools import combinations
# remove patients for which we do not have any covid info
data = data[(data['MRN'].isin(pcr['MRN'])) | (data['MRN'].isin(misc['mrn']))]
data['MISCFound'] = data['MR... | 54.348837 | 326 | 0.695336 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,352 | 0.503209 |
1e77ef009463c9c8b20da40c4cad47baa5105caf | 488 | py | Python | cython_wordle/setup.py | richardtiffin/wordle | 9bdca662f204673e8fdac6fe262f596a4c1a7971 | [
"MIT"
] | null | null | null | cython_wordle/setup.py | richardtiffin/wordle | 9bdca662f204673e8fdac6fe262f596a4c1a7971 | [
"MIT"
] | null | null | null | cython_wordle/setup.py | richardtiffin/wordle | 9bdca662f204673e8fdac6fe262f596a4c1a7971 | [
"MIT"
] | null | null | null | from distutils.core import setup
from distutils.extension import Extension
from Cython.Distutils import build_ext
ext_modules=[
Extension("BBox", ["BBox.pyx"]),
Extension("spirals", ["spirals.pyx"]),
Extension("wordle", ["wordle.pyx"]),
]
setup(
name = 'wordle',
cmdcl... | 25.684211 | 60 | 0.659836 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 175 | 0.358607 |
1e781496e1aa125be921635999ca76ed9c8a3c2b | 4,296 | py | Python | workon/models/file.py | dalou/django-workon | ef63c0a81c00ef560ed693e435cf3825f5170126 | [
"BSD-3-Clause"
] | null | null | null | workon/models/file.py | dalou/django-workon | ef63c0a81c00ef560ed693e435cf3825f5170126 | [
"BSD-3-Clause"
] | null | null | null | workon/models/file.py | dalou/django-workon | ef63c0a81c00ef560ed693e435cf3825f5170126 | [
"BSD-3-Clause"
] | null | null | null | # encoding: utf-8
from django.db import models
from django.conf import settings
from django.utils.translation import ugettext_lazy as _
import magic, os, urllib2
from django.core.files.storage import default_storage as storage
class FileTypeTester(models.Model):
class Meta:
abstract = True
file_type_... | 41.307692 | 153 | 0.598929 | 4,067 | 0.946695 | 0 | 0 | 0 | 0 | 0 | 0 | 1,047 | 0.243715 |
1e7861ff4e6f1898ca9de27db75540533d4577d2 | 484 | py | Python | Python/bst/lets_trie.py | creativcoder/AlgorithmsExercise | a25895205272d17714a6d7dc37eaa2b03c126c6c | [
"MIT"
] | null | null | null | Python/bst/lets_trie.py | creativcoder/AlgorithmsExercise | a25895205272d17714a6d7dc37eaa2b03c126c6c | [
"MIT"
] | null | null | null | Python/bst/lets_trie.py | creativcoder/AlgorithmsExercise | a25895205272d17714a6d7dc37eaa2b03c126c6c | [
"MIT"
] | null | null | null | # A node is an instance of a single node in the trie tree
class Node(object):
def __init__(self):
self.children = {}
def insert_key(self,key):
if key not in self.children:
self.children[key] = Node()
# given a word this Trie will trie to insrt
class Trie(object):
def __init__(self, word):
self.root = 'roo... | 19.36 | 57 | 0.688017 | 345 | 0.71281 | 0 | 0 | 0 | 0 | 0 | 0 | 113 | 0.233471 |
1e79370c0eaab1ed491a5469eb8e029e278bec8b | 44 | py | Python | chat/__main__.py | oinqu/network-protocol-design-course | 3f190c1a5423a472e98af94e00da08a7c4718028 | [
"MIT"
] | null | null | null | chat/__main__.py | oinqu/network-protocol-design-course | 3f190c1a5423a472e98af94e00da08a7c4718028 | [
"MIT"
] | null | null | null | chat/__main__.py | oinqu/network-protocol-design-course | 3f190c1a5423a472e98af94e00da08a7c4718028 | [
"MIT"
] | null | null | null | from App import App
app = App()
app.main()
| 8.8 | 19 | 0.659091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1e7c1315048b3f514dcb2e813d265bec04841e19 | 293 | py | Python | demos/instance_occlsegm/instance_occlsegm_lib/__init__.py | pazeshun/jsk_apc | 0ff42000ad5992f8a31e719a5360a39cf4fa1fde | [
"BSD-3-Clause"
] | null | null | null | demos/instance_occlsegm/instance_occlsegm_lib/__init__.py | pazeshun/jsk_apc | 0ff42000ad5992f8a31e719a5360a39cf4fa1fde | [
"BSD-3-Clause"
] | 2 | 2019-04-11T05:36:23.000Z | 2019-08-19T12:58:10.000Z | demos/instance_occlsegm/instance_occlsegm_lib/__init__.py | pazeshun/jsk_apc | 0ff42000ad5992f8a31e719a5360a39cf4fa1fde | [
"BSD-3-Clause"
] | null | null | null | # flake8: noqa
# set of functions
from . import aug
from . import data
from . import geometry
from . import func
from . import image
from . import utils
from . import _io as io
# set of classes
from . import datasets
from . import models
# set of experimental modules
from . import contrib
| 16.277778 | 29 | 0.740614 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 77 | 0.262799 |
1e7c45b57c7b1f68c58be33048ab411b59607f95 | 3,734 | py | Python | retroarch_emulationstation.py | allebb/personal-influxdb | 280be0cceb0bc00412849be4ca5ad4c7be539fc3 | [
"Apache-2.0"
] | 217 | 2020-01-07T20:25:46.000Z | 2022-03-29T06:09:58.000Z | retroarch_emulationstation.py | allebb/personal-influxdb | 280be0cceb0bc00412849be4ca5ad4c7be539fc3 | [
"Apache-2.0"
] | 16 | 2020-02-10T12:40:23.000Z | 2022-02-26T13:01:55.000Z | retroarch_emulationstation.py | allebb/personal-influxdb | 280be0cceb0bc00412849be4ca5ad4c7be539fc3 | [
"Apache-2.0"
] | 34 | 2020-01-15T15:42:20.000Z | 2022-02-22T17:29:15.000Z | #!/usr/bin/python3
# Copyright (C) 2021 Sam Steele
# 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... | 36.970297 | 169 | 0.676754 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,438 | 0.38511 |
1e7e996369d9db95039bdf9c646f32b34e31f662 | 1,092 | py | Python | day_05/puzzles.py | electronsandstuff/Advent-of-Code-2021 | 9c23872640e8d092088dcb6d5cb845cd11d98994 | [
"BSD-3-Clause"
] | null | null | null | day_05/puzzles.py | electronsandstuff/Advent-of-Code-2021 | 9c23872640e8d092088dcb6d5cb845cd11d98994 | [
"BSD-3-Clause"
] | null | null | null | day_05/puzzles.py | electronsandstuff/Advent-of-Code-2021 | 9c23872640e8d092088dcb6d5cb845cd11d98994 | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
def generate_map(lines, diags=False):
vents = np.zeros((np.max(lines[:, :, 1]) + 1, np.max(lines[:, :, 0]) + 1), dtype=np.uint32)
for l in lines:
if l[0][0] == l[1][0]: # horizontal line
vents[np.min(l[:, 1]):np.max(l[:, 1]) + 1, l[0][0]] += 1
elif l[0][1] == l[... | 39 | 100 | 0.513736 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 289 | 0.264652 |
1e8142af288c77ab6046cce4e5f4f27dd0d2bc03 | 269 | py | Python | tests/orientation_tests/test__repr__.py | lycantropos/rene | c73c616f3e360b994e92c950a3616a8ccb1136b9 | [
"MIT"
] | null | null | null | tests/orientation_tests/test__repr__.py | lycantropos/rene | c73c616f3e360b994e92c950a3616a8ccb1136b9 | [
"MIT"
] | null | null | null | tests/orientation_tests/test__repr__.py | lycantropos/rene | c73c616f3e360b994e92c950a3616a8ccb1136b9 | [
"MIT"
] | null | null | null | import sys
from hypothesis import given
from rene import Orientation
from . import strategies
@given(strategies.orientations)
def test_round_trip(orientation: Orientation) -> None:
result = repr(orientation)
assert eval(result, sys.modules) is orientation
| 19.214286 | 54 | 0.780669 | 0 | 0 | 0 | 0 | 170 | 0.63197 | 0 | 0 | 0 | 0 |
1e8225b7ada5e1ad54098e2705b2ce6cd71e8f49 | 5,254 | py | Python | rect_creator.py | jeffreyleifer/draw_rect | 80082f53b52f5af9378f2a624024c6784ec9b565 | [
"MIT"
] | null | null | null | rect_creator.py | jeffreyleifer/draw_rect | 80082f53b52f5af9378f2a624024c6784ec9b565 | [
"MIT"
] | null | null | null | rect_creator.py | jeffreyleifer/draw_rect | 80082f53b52f5af9378f2a624024c6784ec9b565 | [
"MIT"
] | null | null | null | from PySide2.QtWidgets import QWidget
from PySide2.QtCore import Qt
from PySide2.QtCore import QPoint
from PySide2.QtWidgets import QWidget, QLabel
from PySide2.QtGui import QPainter
from PySide2.QtGui import QPixmap
from PySide2.QtGui import QPen
from draw_utils import is_adjacent, is_contained,is_intersect
... | 33.044025 | 88 | 0.604111 | 4,760 | 0.905976 | 0 | 0 | 0 | 0 | 0 | 0 | 1,548 | 0.294633 |
1e83dfa9c50394894ee742b2137621c5d011c5a0 | 356 | py | Python | fasttext/run.py | TheStarkor/Deep-Learning-Examples | 5174cfab823edb39ce61439fb98f2f55e23e2570 | [
"MIT"
] | null | null | null | fasttext/run.py | TheStarkor/Deep-Learning-Examples | 5174cfab823edb39ce61439fb98f2f55e23e2570 | [
"MIT"
] | null | null | null | fasttext/run.py | TheStarkor/Deep-Learning-Examples | 5174cfab823edb39ce61439fb98f2f55e23e2570 | [
"MIT"
] | null | null | null | from gensim import models
model = models.fasttext.load_facebook_model('cc.ko.300.bin')
for w, sim in model.wv.similar_by_word('치킨', 5):
print(f'{w}: {sim}')
for w, sim in model.wv.most_similar('치킨', topn=5):
print(f'{w}: {sim}')
print(model.wv.similarity('치킨', '피자'))
print(model.wv.most_similar(positive=['돼지... | 32.363636 | 77 | 0.66573 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 0.259067 |
1e8434d13fe760e8cea23fce54f739923c5f3b0f | 6,622 | py | Python | mining_shoots_discord.py | Hofei90/stfc_mining_shoots | 1eb89c0296b203719d32ae0cbf7c15ae7ca620dc | [
"MIT"
] | null | null | null | mining_shoots_discord.py | Hofei90/stfc_mining_shoots | 1eb89c0296b203719d32ae0cbf7c15ae7ca620dc | [
"MIT"
] | null | null | null | mining_shoots_discord.py | Hofei90/stfc_mining_shoots | 1eb89c0296b203719d32ae0cbf7c15ae7ca620dc | [
"MIT"
] | null | null | null | import toml
from discord.ext import commands
import discord
import pathlib
from peewee import SqliteDatabase, fn
import db_model as db
import datetime
from dataclasses import dataclass
import matplotlib.pyplot as plt
import asyncio
SKRIPTPFAD = pathlib.Path(__file__).parent
CONFIGPFAD = SKRIPTPFAD / "config.toml"
CONF... | 30.1 | 108 | 0.598762 | 86 | 0.012969 | 0 | 0 | 4,585 | 0.691449 | 3,715 | 0.560247 | 1,062 | 0.160157 |
1e8540b88c0120bfb5afdddeb8fe99456df3e245 | 3,115 | py | Python | test_utils/test_utils.py | Sawrz/yeti | 1dd0653e570dc80663cd23aab1ebf61a54e44001 | [
"MIT"
] | null | null | null | test_utils/test_utils.py | Sawrz/yeti | 1dd0653e570dc80663cd23aab1ebf61a54e44001 | [
"MIT"
] | null | null | null | test_utils/test_utils.py | Sawrz/yeti | 1dd0653e570dc80663cd23aab1ebf61a54e44001 | [
"MIT"
] | null | null | null | import string
import numpy as np
from yeti.get_features.hydrogen_bonds import Triplet
from yeti.systems.building_blocks import Atom
def create_data_type_exception_messages(parameter_name, data_type_name):
return 'Wrong data type for parameter "{name}". Desired type is {data_type}'.format(name=parameter_name,
... | 38.45679 | 113 | 0.646228 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 308 | 0.098876 |
1e85581ac31dc11f833c7a82b762a417fde73841 | 736 | py | Python | tests/analyses/conftest.py | weibullguy/ramstk | 3ec41d7e2933045a7a8028aed6c6b04365495095 | [
"BSD-3-Clause"
] | 4 | 2018-08-26T09:11:36.000Z | 2019-05-24T12:01:02.000Z | tests/analyses/conftest.py | weibullguy/ramstk | 3ec41d7e2933045a7a8028aed6c6b04365495095 | [
"BSD-3-Clause"
] | 52 | 2018-08-24T12:51:22.000Z | 2020-12-28T04:59:42.000Z | tests/analyses/conftest.py | weibullguy/ramstk | 3ec41d7e2933045a7a8028aed6c6b04365495095 | [
"BSD-3-Clause"
] | 1 | 2018-10-11T07:57:55.000Z | 2018-10-11T07:57:55.000Z | # Third Party Imports
import pytest
@pytest.fixture
def test_attributes_allocation():
yield {
"allocation_method_id": 1,
"availability_alloc": 0.9998,
"duty_cycle": 100.0,
"env_factor": 6,
"goal_measure_id": 1,
"hazard_rate_alloc": 0.0,
"hazard_rate_goal": 0... | 24.533333 | 37 | 0.546196 | 0 | 0 | 681 | 0.925272 | 697 | 0.947011 | 0 | 0 | 345 | 0.46875 |
1e8587f831eb0191924a6fb1115988c766870ce9 | 689 | py | Python | mmhuman3d/core/conventions/keypoints_mapping/instavariety.py | ykk648/mmhuman3d | 26af92bcf6abbe1855e1a8a48308621410f9c047 | [
"Apache-2.0"
] | 472 | 2021-12-03T03:12:55.000Z | 2022-03-31T01:33:13.000Z | mmhuman3d/core/conventions/keypoints_mapping/instavariety.py | ykk648/mmhuman3d | 26af92bcf6abbe1855e1a8a48308621410f9c047 | [
"Apache-2.0"
] | 127 | 2021-12-03T05:00:14.000Z | 2022-03-31T13:47:33.000Z | mmhuman3d/core/conventions/keypoints_mapping/instavariety.py | ykk648/mmhuman3d | 26af92bcf6abbe1855e1a8a48308621410f9c047 | [
"Apache-2.0"
] | 37 | 2021-12-03T03:23:22.000Z | 2022-03-31T08:41:58.000Z | INSTAVARIETY_KEYPOINTS = [
'right_heel_openpose',
'right_knee_openpose',
'right_hip_openpose',
'left_hip_openpose',
'left_knee_openpose',
'left_heel_openpose',
'right_wrist_openpose',
'right_elbow_openpose',
'right_shoulder_openpose',
'left_shoulder_openpose',
'left_elbow_ope... | 24.607143 | 30 | 0.699565 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 510 | 0.740203 |
1e865f0471666eee6566c8792893e373522a1f73 | 72,247 | py | Python | vaccinate/core/models.py | MoralCode/vial | cdaaab053a9cf1cef40104a2cdf480b7932d58f7 | [
"MIT"
] | null | null | null | vaccinate/core/models.py | MoralCode/vial | cdaaab053a9cf1cef40104a2cdf480b7932d58f7 | [
"MIT"
] | null | null | null | vaccinate/core/models.py | MoralCode/vial | cdaaab053a9cf1cef40104a2cdf480b7932d58f7 | [
"MIT"
] | null | null | null | from __future__ import annotations
import uuid
from datetime import datetime, timedelta
from functools import reduce
from operator import or_
from typing import Any, List, NamedTuple, Optional
import beeline
import pytz
import sentry_sdk
from django.conf import settings
from django.contrib.auth.models import User
fro... | 36.654997 | 179 | 0.648428 | 69,532 | 0.962327 | 315 | 0.00436 | 17,442 | 0.241398 | 0 | 0 | 19,247 | 0.26638 |
1e871e7be4f994cf1cfd89c9a4b868bc30e2a035 | 205 | py | Python | settings/settings.py | Partycode/opentfd | 2211012ccb3b96b5b48ae2ae27f874354e6ddc71 | [
"Apache-2.0"
] | null | null | null | settings/settings.py | Partycode/opentfd | 2211012ccb3b96b5b48ae2ae27f874354e6ddc71 | [
"Apache-2.0"
] | null | null | null | settings/settings.py | Partycode/opentfd | 2211012ccb3b96b5b48ae2ae27f874354e6ddc71 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: UTF-8 -*-
import os
APP_PATH = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
SESSION_FILE_PATH = os.path.join(APP_PATH, 'settings', 'opentfd_session')
| 25.625 | 73 | 0.721951 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 72 | 0.35122 |
1e88662b9dcdea887377483da9b99fbeb0a1e2ce | 1,650 | py | Python | src/train.py | SunbirdAI/SunBERT | b73ccf5115a0303b59b27df602bfe064c8ebd6fa | [
"MIT"
] | null | null | null | src/train.py | SunbirdAI/SunBERT | b73ccf5115a0303b59b27df602bfe064c8ebd6fa | [
"MIT"
] | 1 | 2021-02-24T17:11:26.000Z | 2021-02-24T17:11:31.000Z | src/train.py | SunbirdAI/SunBERT | b73ccf5115a0303b59b27df602bfe064c8ebd6fa | [
"MIT"
] | 1 | 2021-12-10T12:27:17.000Z | 2021-12-10T12:27:17.000Z | import pandas as pd
from dataset import create_dataloader
from engine import train_fn
from model import SunBERT
from transformers import AdamW
from torch import nn
def run():
MAX_LEN = 66
BATCH_SIZE = 32
EPOCHS = 5
device = torch.device("cuda:0" if torch.cuda.is_available() else "Couldn't find GPU dev... | 38.372093 | 130 | 0.746667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 234 | 0.141818 |
1e89e5918f3ccc62e2c9d037ec970ff4354a9c3b | 4,430 | py | Python | COVID-19_Old.py | JustHarsh/Drug_Discovery-COVID-19 | 0dd941797e6a928f70f2ea706f584259ca24478f | [
"MIT"
] | 5 | 2020-05-23T13:10:51.000Z | 2021-09-07T13:56:38.000Z | COVID-19_Old.py | JustHarsh/Drug_Discovery-COVID-19 | 0dd941797e6a928f70f2ea706f584259ca24478f | [
"MIT"
] | null | null | null | COVID-19_Old.py | JustHarsh/Drug_Discovery-COVID-19 | 0dd941797e6a928f70f2ea706f584259ca24478f | [
"MIT"
] | null | null | null | # Importing all essential libraries
import os
import random
import sys
import pandas as pd
import numpy as np
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import LSTM
from keras.layers import Dropout
from keras.optimizers import RMSprop
from keras.utils.data_utils import get_fil... | 29.731544 | 93 | 0.584876 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,373 | 0.309932 |
1e8c90529784c32fc97eee269bf1f19fcbbdd280 | 1,494 | py | Python | tests/service/test_base.py | flyinactor91/AVWX-Engine | 0d3ce2c6e962d2a3ec9db711caf9d1c94658fa80 | [
"MIT"
] | 30 | 2015-09-08T20:38:41.000Z | 2019-03-10T07:10:47.000Z | tests/service/test_base.py | sthagen/avwx-engine | af235b9d26e5495f04076ed5499cf8cd131d4efc | [
"MIT"
] | 5 | 2015-08-12T15:50:07.000Z | 2019-04-16T00:42:12.000Z | tests/service/test_base.py | sthagen/avwx-engine | af235b9d26e5495f04076ed5499cf8cd131d4efc | [
"MIT"
] | 11 | 2016-01-17T10:10:29.000Z | 2019-01-13T17:55:36.000Z | """
Service API Tests
"""
# pylint: disable=missing-class-docstring
# stdlib
from typing import Tuple
import unittest
# module
from avwx import service
BASE_ATTRS = ("url", "report_type", "_valid_types")
class BaseTestService(unittest.IsolatedAsyncioTestCase):
serv: service.Service
service_class = servic... | 28.730769 | 66 | 0.660643 | 1,283 | 0.858768 | 0 | 0 | 0 | 0 | 287 | 0.192102 | 278 | 0.186078 |
1e8c94240a87d0206591689e63849ac4c1ef22b0 | 1,267 | py | Python | src/main.py | DanielWieczorek/FancyReadmeBuilder | a0a91ec60a673be97d7a942ded5e1da659dda885 | [
"MIT"
] | null | null | null | src/main.py | DanielWieczorek/FancyReadmeBuilder | a0a91ec60a673be97d7a942ded5e1da659dda885 | [
"MIT"
] | null | null | null | src/main.py | DanielWieczorek/FancyReadmeBuilder | a0a91ec60a673be97d7a942ded5e1da659dda885 | [
"MIT"
] | null | null | null | """
This is a nifty little tool to create really cool looking Readme files.
Its essentially a templating tool for such. The initial steps to create a template are the following:
- create a super cool ANSI Art design for your readme.
- create a template that uses this image and defines fields where text can be inserted.... | 27.543478 | 115 | 0.767956 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 737 | 0.581689 |
1e8dff84bf260e37d0a7da4269b967a651c8336e | 147 | py | Python | capitulo-05/ex05.py | bryan-lima/exercicios-livro-introd-prog-python-3ed | b6bc26dced9728510865704a80cb0d97f81f756b | [
"MIT"
] | 3 | 2021-11-09T17:54:10.000Z | 2022-01-30T22:32:25.000Z | capitulo-05/ex05.py | bryan-lima/exercicios-livro-introd-prog-python-3ed | b6bc26dced9728510865704a80cb0d97f81f756b | [
"MIT"
] | null | null | null | capitulo-05/ex05.py | bryan-lima/exercicios-livro-introd-prog-python-3ed | b6bc26dced9728510865704a80cb0d97f81f756b | [
"MIT"
] | null | null | null | # Reescreva o programa anterior para escrever os 10 primeiros múltiplos de 3
lastNumber = 30
n = 3
while n <= lastNumber:
print(n)
n += 3
| 18.375 | 76 | 0.687075 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 77 | 0.52027 |
1e909bbac52b8d09611a8c081d2717c3f3ceb7b5 | 73 | py | Python | sim_common/client_utils.py | mfatihaktas/edge-load-balance | b866ca47ba37a605eeba05658b1d302f6855a23f | [
"MIT"
] | null | null | null | sim_common/client_utils.py | mfatihaktas/edge-load-balance | b866ca47ba37a605eeba05658b1d302f6855a23f | [
"MIT"
] | null | null | null | sim_common/client_utils.py | mfatihaktas/edge-load-balance | b866ca47ba37a605eeba05658b1d302f6855a23f | [
"MIT"
] | null | null | null |
def min_wait_time(cl_l):
return min(cl.min_wait_time() for cl in cl_l)
| 18.25 | 46 | 0.753425 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1e9151fbe802bf8cc3a1fe455244d59c40229ca9 | 15,165 | py | Python | extension/TypeFacet-RoboFont.roboFontExt/lib/tfs/common/TFSGlyph.py | charlesmchen/typefacet-robofont | 1dee6f1054cfa0cdf87a490ff017a7098f894ef2 | [
"Apache-2.0"
] | 1 | 2019-07-15T22:29:56.000Z | 2019-07-15T22:29:56.000Z | src-all/tfs/common/TFSGlyph.py | charlesmchen/typefacet-robofont | 1dee6f1054cfa0cdf87a490ff017a7098f894ef2 | [
"Apache-2.0"
] | null | null | null | src-all/tfs/common/TFSGlyph.py | charlesmchen/typefacet-robofont | 1dee6f1054cfa0cdf87a490ff017a7098f894ef2 | [
"Apache-2.0"
] | null | null | null | '''
robofont-extensions-and-scripts
TFSGlyph.py
https://github.com/charlesmchen/robofont-extensions-and-scripts
Copyright (c) 2012 Charles Matthew Chen
charlesmchen@gmail.com
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. D... | 70.208333 | 1,307 | 0.713419 | 5,792 | 0.381932 | 0 | 0 | 0 | 0 | 0 | 0 | 11,455 | 0.755358 |
1e91bffc137dacb98dd65fdc54a68e7adb4518df | 3,080 | py | Python | bin/soundboard_scripts/soundboard-preprocess.py | andrewmichaud/scripts | 0e79a3454ec0116a0e3ed2902b79494939050937 | [
"0BSD"
] | 1 | 2016-10-13T18:36:59.000Z | 2016-10-13T18:36:59.000Z | bin/soundboard_scripts/soundboard-preprocess.py | andrewmichaud/scripts | 0e79a3454ec0116a0e3ed2902b79494939050937 | [
"0BSD"
] | null | null | null | bin/soundboard_scripts/soundboard-preprocess.py | andrewmichaud/scripts | 0e79a3454ec0116a0e3ed2902b79494939050937 | [
"0BSD"
] | null | null | null | #!/usr/bin/env python3
import json
# If you change this be sure to change it everywhere in the main ahk file too.
bank_size = 8
input_file = "soundboard_data.json"
output_file = "soundboard_data.ahk"
def indent(indent_level):
return (indent_level * 4) * " "
def main():
with open(input_file) as f:
d... | 29.615385 | 87 | 0.612662 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,264 | 0.41039 |
1e93915ecdb2cdb619894439c631119916b71978 | 1,822 | py | Python | 1047.remove-all-adjacent-duplicates-in-string.py | windard/leeeeee | 0107a5f95746592ca4fe78d2b5875cf65b1910e7 | [
"MIT"
] | null | null | null | 1047.remove-all-adjacent-duplicates-in-string.py | windard/leeeeee | 0107a5f95746592ca4fe78d2b5875cf65b1910e7 | [
"MIT"
] | null | null | null | 1047.remove-all-adjacent-duplicates-in-string.py | windard/leeeeee | 0107a5f95746592ca4fe78d2b5875cf65b1910e7 | [
"MIT"
] | null | null | null | # coding=utf-8
#
# @lc app=leetcode id=1047 lang=python
#
# [1047] Remove All Adjacent Duplicates In String
#
# https://leetcode.com/problems/remove-all-adjacent-duplicates-in-string/description/
#
# algorithms
# Easy (63.77%)
# Likes: 184
# Dislikes: 18
# Total Accepted: 21.7K
# Total Submissions: 34K
# Testcase... | 23.063291 | 85 | 0.57629 | 583 | 0.319452 | 0 | 0 | 0 | 0 | 0 | 0 | 1,243 | 0.681096 |
1e941d0f1ea0bea6db578d655dff1e5ed3367636 | 781 | py | Python | sap/cf_logging/formatters/json_formatter.py | mhaas/cf-python-logging-support | 86b7e8ef35b935401bdec7da275fe4e09302988c | [
"Apache-2.0"
] | 16 | 2017-11-30T06:17:07.000Z | 2021-09-13T13:41:17.000Z | sap/cf_logging/formatters/json_formatter.py | mhaas/cf-python-logging-support | 86b7e8ef35b935401bdec7da275fe4e09302988c | [
"Apache-2.0"
] | 32 | 2017-12-01T14:48:17.000Z | 2022-02-19T04:49:55.000Z | sap/cf_logging/formatters/json_formatter.py | mhaas/cf-python-logging-support | 86b7e8ef35b935401bdec7da275fe4e09302988c | [
"Apache-2.0"
] | 7 | 2018-03-08T15:52:55.000Z | 2022-02-27T18:52:57.000Z | """ Module for the JsonFormatter """
import json
import logging
import sys
from sap.cf_logging.record.simple_log_record import SimpleLogRecord
def _default_serializer(obj):
return str(obj)
if sys.version_info[0] == 3:
def _encode(obj):
return json.dumps(obj, default=_default_serializer)
else:
def ... | 27.892857 | 106 | 0.701665 | 337 | 0.431498 | 0 | 0 | 0 | 0 | 0 | 0 | 176 | 0.225352 |
1e96de784904b01afc6ec3b2c98877a952ba909a | 2,081 | py | Python | src/compas_rhino/geometry/__init__.py | arpastrana/compas | ed677a162c14dbe562c82d72f370279259faf7da | [
"MIT"
] | null | null | null | src/compas_rhino/geometry/__init__.py | arpastrana/compas | ed677a162c14dbe562c82d72f370279259faf7da | [
"MIT"
] | null | null | null | src/compas_rhino/geometry/__init__.py | arpastrana/compas | ed677a162c14dbe562c82d72f370279259faf7da | [
"MIT"
] | null | null | null | """
********************************************************************************
geometry
********************************************************************************
.. currentmodule:: compas_rhino.geometry
.. rst-class:: lead
Wrappers for Rhino objects that can be used to convert Rhino geometry and data to... | 19.819048 | 97 | 0.62518 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,794 | 0.862086 |
1e974270a6cf3fb3cecc5bb2513b8e4bc658f7b9 | 5,757 | py | Python | tests/functional_test.py | Luxxii/ProtGraph | 68c3b362e2b487403fa02cfc25d456a272004a1f | [
"BSD-2-Clause"
] | null | null | null | tests/functional_test.py | Luxxii/ProtGraph | 68c3b362e2b487403fa02cfc25d456a272004a1f | [
"BSD-2-Clause"
] | null | null | null | tests/functional_test.py | Luxxii/ProtGraph | 68c3b362e2b487403fa02cfc25d456a272004a1f | [
"BSD-2-Clause"
] | null | null | null | import os
import unittest
import protgraph
class FunctionalTest(unittest.TestCase):
@classmethod
def setUpClass(cls):
""" Set base Example Folder """
main_file_path = os.path.dirname(os.path.abspath(protgraph.__file__))
cls.examples_path = os.path.join(main_file_path, "..", "examples... | 39.163265 | 116 | 0.657982 | 5,710 | 0.991836 | 0 | 0 | 460 | 0.079903 | 0 | 0 | 499 | 0.086677 |
1e99fc63ab0f76d9f24c67f04cff7cdb44f433f8 | 3,444 | py | Python | v1_fastecdsa/bsgs_algo_modified.py | Chesterfield007/bsgs | dc3a7ab73ca7b385d25f7b486e8efa293c4e3bf8 | [
"MIT"
] | 55 | 2021-01-15T17:01:10.000Z | 2022-03-26T20:15:33.000Z | v1_fastecdsa/bsgs_algo_modified.py | Chesterfield007/bsgs | dc3a7ab73ca7b385d25f7b486e8efa293c4e3bf8 | [
"MIT"
] | 53 | 2021-02-14T22:17:44.000Z | 2022-01-28T17:43:59.000Z | v1_fastecdsa/bsgs_algo_modified.py | Chesterfield007/bsgs | dc3a7ab73ca7b385d25f7b486e8efa293c4e3bf8 | [
"MIT"
] | 33 | 2021-02-19T13:30:49.000Z | 2022-01-12T06:58:07.000Z | # -*- coding: utf-8 -*-
"""
@author: iceland
"""
import bit
import time
import random
import os
from fastecdsa import curve
from fastecdsa.point import Point
bs_file = 'baby_steps_table.txt'
def Pub2Point(public_key):
x = int(public_key[2:66],16)
if len(public_key) < 70:
y = bit.form... | 32.8 | 146 | 0.525842 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,455 | 0.422474 |