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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
d624afc005581dffbfc08e82838a1665027d366a | 12,517 | py | Python | 1/feature.py | houzeyu2683/NCKUCSIEIIR | 5289de95caed724b395136fcfc8e44fc522aad68 | [
"MIT"
] | null | null | null | 1/feature.py | houzeyu2683/NCKUCSIEIIR | 5289de95caed724b395136fcfc8e44fc522aad68 | [
"MIT"
] | null | null | null | 1/feature.py | houzeyu2683/NCKUCSIEIIR | 5289de95caed724b395136fcfc8e44fc522aad68 | [
"MIT"
] | null | null | null |
import cv2
class color:
def __init__(self, table, use):
self.table = table
self.use = use
return
def process(self, item):
if(self.use=='rgb'):
size = (64,64)
image = cv2.imread(item['path'])
if(not isinstance(image, numpy.n... | 33.026385 | 132 | 0.502596 | 7,243 | 0.562651 | 0 | 0 | 0 | 0 | 0 | 0 | 6,749 | 0.524276 |
d624ba8318c597ce97853f834699f104f42b757d | 545 | py | Python | server/apps/posts/models.py | arthamtrust/backend | d1981766297b1cf2888b37af927f69fde750a23e | [
"MIT"
] | null | null | null | server/apps/posts/models.py | arthamtrust/backend | d1981766297b1cf2888b37af927f69fde750a23e | [
"MIT"
] | null | null | null | server/apps/posts/models.py | arthamtrust/backend | d1981766297b1cf2888b37af927f69fde750a23e | [
"MIT"
] | null | null | null | from django.db import models
class Post(models.Model):
"""
Model for Charity or Event Post
"""
POST_KINDS = [(kind, kind) for kind in ["charity", "event"]]
title = models.CharField(max_length=200)
content = models.TextField()
published_date = models.DateField()
created_date = models.... | 22.708333 | 64 | 0.638532 | 513 | 0.941284 | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 0.146789 |
d62529fa1e4bca329d5371d9c6d83cde2120ae8f | 251 | py | Python | demos/sysmon/schema/queries/__init__.py | rob-blackbourn/bareasgi-graphql | 84e46f4e082630973a275b44811ef1136bbde418 | [
"Apache-2.0"
] | 2 | 2020-04-27T19:54:26.000Z | 2022-03-30T10:06:29.000Z | demos/sysmon/schema/queries/__init__.py | rob-blackbourn/bareasgi-graphql | 84e46f4e082630973a275b44811ef1136bbde418 | [
"Apache-2.0"
] | null | null | null | demos/sysmon/schema/queries/__init__.py | rob-blackbourn/bareasgi-graphql | 84e46f4e082630973a275b44811ef1136bbde418 | [
"Apache-2.0"
] | null | null | null | """
GraphQL queries
"""
from graphql import GraphQLObjectType
from .system_queries import LatestQuery
# pylint: disable=invalid-name
RootQueryType = GraphQLObjectType(
name='Queries',
fields=lambda: {
'latest': LatestQuery,
}
)
| 15.6875 | 39 | 0.705179 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 0.278884 |
d628384096a682a0c64ae1ad0b4d5405798588dd | 4,781 | py | Python | code/bert_utils/bert_utils_simplify_v2/data_loader.py | InscribeDeeper/Text-Classification | 9cd3def58b5bd4b722a5b8fdff60a07d977234aa | [
"MIT"
] | null | null | null | code/bert_utils/bert_utils_simplify_v2/data_loader.py | InscribeDeeper/Text-Classification | 9cd3def58b5bd4b722a5b8fdff60a07d977234aa | [
"MIT"
] | null | null | null | code/bert_utils/bert_utils_simplify_v2/data_loader.py | InscribeDeeper/Text-Classification | 9cd3def58b5bd4b722a5b8fdff60a07d977234aa | [
"MIT"
] | null | null | null | import re
from tensorflow.keras.utils import to_categorical
from collections import Counter
import pandas as pd
import torch
from sklearn.model_selection import train_test_split, StratifiedKFold
from torch.utils.data import TensorDataset, DataLoader, RandomSampler, SequentialSampler
import numpy as np
###############... | 45.971154 | 242 | 0.708011 | 0 | 0 | 1,729 | 0.36164 | 0 | 0 | 0 | 0 | 1,391 | 0.290943 |
d628eb2618c4fa8efe97f0a1814ba041871e5417 | 9,733 | py | Python | prometheus_metrics.py | lesykm/healthstats-collector | fb81a6938ab9ae0ff3408642d0d06e2869454a6f | [
"MIT"
] | null | null | null | prometheus_metrics.py | lesykm/healthstats-collector | fb81a6938ab9ae0ff3408642d0d06e2869454a6f | [
"MIT"
] | null | null | null | prometheus_metrics.py | lesykm/healthstats-collector | fb81a6938ab9ae0ff3408642d0d06e2869454a6f | [
"MIT"
] | 1 | 2021-12-23T19:10:39.000Z | 2021-12-23T19:10:39.000Z | import datetime
import os
import pytz
from prometheus_client import CollectorRegistry, Gauge, pushadd_to_gateway
class PrometheusMetrics:
def __init__(self, logger):
self.logger = logger
self.registry = CollectorRegistry()
self.pushgateway = os.environ.get("PUSHGATEWAY", "localhost:9091")... | 39.245968 | 98 | 0.636803 | 9,616 | 0.987979 | 0 | 0 | 0 | 0 | 0 | 0 | 3,932 | 0.403986 |
d62a7b5bab3d8a5d3f5a1aff360bc9d1b2ac9814 | 2,305 | py | Python | tests/pymcell4_positive/2660_get_current_rxn_count_on_demand_only/observables.py | mcellteam/mcell-tests | 34d2d967b75d56edbae999bf0090641850f4f4fe | [
"MIT"
] | 1 | 2021-08-13T20:40:54.000Z | 2021-08-13T20:40:54.000Z | tests/pymcell4_positive/2660_get_current_rxn_count_on_demand_only/observables.py | mcellteam/mcell_tests | 34d2d967b75d56edbae999bf0090641850f4f4fe | [
"MIT"
] | null | null | null | tests/pymcell4_positive/2660_get_current_rxn_count_on_demand_only/observables.py | mcellteam/mcell_tests | 34d2d967b75d56edbae999bf0090641850f4f4fe | [
"MIT"
] | null | null | null | import mcell as m
from parameters import *
from subsystem import *
from geometry import *
# ---- observables ----
viz_output = m.VizOutput(
mode = m.VizMode.ASCII,
output_files_prefix = './viz_data/seed_' + str(get_seed()).zfill(5) + '/Scene',
every_n_timesteps = 1
)
count_a_Cube1 = m.Count(
name = ... | 22.598039 | 102 | 0.688503 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 271 | 0.11757 |
d62a8b24a611540b7442ff5bbdf17e7e9ceae229 | 1,372 | py | Python | custom_logger.py | LC-Duarte/pytil | 271b4e8dee408b586fbd741511116726e10d1fc0 | [
"MIT"
] | null | null | null | custom_logger.py | LC-Duarte/pytil | 271b4e8dee408b586fbd741511116726e10d1fc0 | [
"MIT"
] | null | null | null | custom_logger.py | LC-Duarte/pytil | 271b4e8dee408b586fbd741511116726e10d1fc0 | [
"MIT"
] | null | null | null | #custom_logger.py
#Leonardo Duarte
import logging
#Logging levels
INFO = logging.INFO
DEBUG = logging.DEBUG
WARNING = logging.WARNING
ERROR = logging.ERROR
def setup(name, **kwargs):
log_level=kwargs.get('log_level',INFO)
formatter = logging.Formatter(fmt='%(asctime)s templatetool %(levelname)s: %(... | 26.384615 | 121 | 0.560496 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 250 | 0.182216 |
d62b77751af6dbe89d65c59649c018081395e8a3 | 4,403 | py | Python | CPAC/utils/ga.py | gkiar/C-PAC | 0926b451dd8622b25eb68c7bcc770f0156238b23 | [
"BSD-3-Clause"
] | 125 | 2015-03-04T09:14:46.000Z | 2022-03-29T07:46:12.000Z | CPAC/utils/ga.py | gkiar/C-PAC | 0926b451dd8622b25eb68c7bcc770f0156238b23 | [
"BSD-3-Clause"
] | 1,018 | 2015-01-04T16:01:29.000Z | 2022-03-31T19:23:09.000Z | CPAC/utils/ga.py | gkiar/C-PAC | 0926b451dd8622b25eb68c7bcc770f0156238b23 | [
"BSD-3-Clause"
] | 117 | 2015-01-10T08:05:52.000Z | 2022-01-18T05:16:51.000Z | import configparser
import os
import os.path as op
import requests
import tempfile
import threading
import traceback
import uuid
from CPAC.info import __version__, ga_tracker
udir = op.expanduser('~')
if udir=='/':
udir = tempfile.mkdtemp()
temp_dir = True
tracking_path = op.join(udir, '.cpac')
def get_or_c... | 25.16 | 77 | 0.556893 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,398 | 0.317511 |
d62bdce02dfde4fdc7a6daa118d20a03c2cdd67f | 47 | py | Python | src/TEMPer_USB/temper-python-master/temperusb/__init__.py | resolutedreamer/EE199 | 4a18ca64cc414fd33f35794cea2abc8d7c224deb | [
"Apache-2.0"
] | null | null | null | src/TEMPer_USB/temper-python-master/temperusb/__init__.py | resolutedreamer/EE199 | 4a18ca64cc414fd33f35794cea2abc8d7c224deb | [
"Apache-2.0"
] | null | null | null | src/TEMPer_USB/temper-python-master/temperusb/__init__.py | resolutedreamer/EE199 | 4a18ca64cc414fd33f35794cea2abc8d7c224deb | [
"Apache-2.0"
] | null | null | null | from temper import TemperDevice, TemperHandler
| 23.5 | 46 | 0.87234 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d62f4ad8fee791fde617fe8a8fcaa03316e1676c | 894 | py | Python | tests/api/conftest.py | ggardet/mr-provisioner | 8a57806e702d9953a3af304fe52dec8e5de25aff | [
"ECL-2.0",
"Apache-2.0"
] | 25 | 2018-04-12T15:56:47.000Z | 2021-05-17T04:31:20.000Z | tests/api/conftest.py | ggardet/mr-provisioner | 8a57806e702d9953a3af304fe52dec8e5de25aff | [
"ECL-2.0",
"Apache-2.0"
] | 72 | 2017-06-21T10:59:05.000Z | 2018-03-22T08:52:18.000Z | tests/api/conftest.py | ggardet/mr-provisioner | 8a57806e702d9953a3af304fe52dec8e5de25aff | [
"ECL-2.0",
"Apache-2.0"
] | 13 | 2017-06-16T08:17:03.000Z | 2019-10-03T09:49:46.000Z | import pytest
from mr_provisioner.models import Token
from werkzeug.datastructures import Headers
@pytest.fixture(scope='function')
def token_nonadmin(db, user_nonadmin):
token = Token(user_nonadmin.id, None, 'api test token')
db.session.add(token)
db.session.commit()
db.session.refresh(token)
re... | 23.526316 | 59 | 0.715884 | 0 | 0 | 0 | 0 | 784 | 0.876957 | 0 | 0 | 124 | 0.138702 |
d630e32828aaab8dd2ad6bfc505ea6fcac010e08 | 7,509 | py | Python | pirate.py | bobbyluig/pirate | f9b17a652eb475c0057aa556e428e38ebe808172 | [
"MIT"
] | 2 | 2017-10-12T03:01:21.000Z | 2022-02-03T01:15:20.000Z | pirate.py | bobbyluig/pirate | f9b17a652eb475c0057aa556e428e38ebe808172 | [
"MIT"
] | null | null | null | pirate.py | bobbyluig/pirate | f9b17a652eb475c0057aa556e428e38ebe808172 | [
"MIT"
] | null | null | null | import requests
from bs4 import BeautifulSoup
import json
from urllib import parse
from datetime import datetime
import time
def construct_link(origin, destination):
o = parse.urlparse(origin)
if destination.startswith('http'):
return destination
elif destination.startswith('/'):
... | 27.108303 | 104 | 0.536023 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,185 | 0.290984 |
d631ffddb2895fc51dd1aaa5d9e97af2b59d8562 | 3,763 | py | Python | src/modeling/metrics.py | zahrahosseini99/fever2-columbia | 0859c005a960c144de903a095d480fe8c131754a | [
"Apache-2.0"
] | 8 | 2020-04-29T04:59:45.000Z | 2022-03-20T01:26:21.000Z | src/modeling/metrics.py | zahrahosseini99/fever2-columbia | 0859c005a960c144de903a095d480fe8c131754a | [
"Apache-2.0"
] | 2 | 2021-04-30T21:12:58.000Z | 2022-03-21T22:18:50.000Z | src/modeling/metrics.py | zahrahosseini99/fever2-columbia | 0859c005a960c144de903a095d480fe8c131754a | [
"Apache-2.0"
] | 4 | 2020-05-05T01:18:34.000Z | 2022-03-22T07:20:12.000Z | from typing import Optional
from overrides import overrides
import numpy as np
import torch
from allennlp.training.metrics.metric import Metric
class FeverScore(Metric):
def __init__(self, nei_label=0, max_select=5) -> None:
self.correct_count = 0.
self.total_count = 0.
self.correct_evid... | 37.257426 | 158 | 0.570821 | 3,614 | 0.960404 | 0 | 0 | 175 | 0.046505 | 0 | 0 | 393 | 0.104438 |
d6334e66d12b35aa3a34254a0681cdb454e2df42 | 928 | py | Python | SPC/Files/login.py | yadavsuraj20/spc | 442d88c748633d00a6f1db2a3069feb4ac3f45b7 | [
"BSD-3-Clause"
] | 1 | 2020-06-15T18:47:26.000Z | 2020-06-15T18:47:26.000Z | SPC/Files/login.py | yadavsuraj20/spc | 442d88c748633d00a6f1db2a3069feb4ac3f45b7 | [
"BSD-3-Clause"
] | null | null | null | SPC/Files/login.py | yadavsuraj20/spc | 442d88c748633d00a6f1db2a3069feb4ac3f45b7 | [
"BSD-3-Clause"
] | 3 | 2020-06-07T04:46:10.000Z | 2020-07-04T12:04:22.000Z | import requests
import getpass
import pickle
import os
import sys
# import webbrowser
# import time
home = os.path.expanduser('~/SPC')
# print(home)
# $ip=$_SERVER['REMOTE_ADDR']
if os.path.isfile(home+'/Pickles/url.pkl'):
fp = open(home+'/Pickles/url.pkl','rb')
url = pickle.load(fp)
else:
exit("First set the serve... | 24.421053 | 60 | 0.682112 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 483 | 0.520474 |
d633c093faac664c8098b15521bd8dae8ec5b536 | 565 | py | Python | ci/fetch_pysteps_data.py | pySTEPS/pysteps_tutorials | aeb7cf92603c9b72bf6e80d0870a10daac3a4923 | [
"BSD-3-Clause"
] | null | null | null | ci/fetch_pysteps_data.py | pySTEPS/pysteps_tutorials | aeb7cf92603c9b72bf6e80d0870a10daac3a4923 | [
"BSD-3-Clause"
] | null | null | null | ci/fetch_pysteps_data.py | pySTEPS/pysteps_tutorials | aeb7cf92603c9b72bf6e80d0870a10daac3a4923 | [
"BSD-3-Clause"
] | 1 | 2022-03-08T08:10:11.000Z | 2022-03-08T08:10:11.000Z | """
Install the pysteps data in a test environment and create a pystepsrc
configuration file pointing to that data.
"""
if __name__ == "__main__":
import argparse
from pysteps.datasets import create_default_pystepsrc, download_pysteps_data
parser = argparse.ArgumentParser(description="Install pysteps data... | 29.736842 | 80 | 0.750442 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 206 | 0.364602 |
d6353235caf92485faaed3962ae13a7db0c3c200 | 4,723 | py | Python | core/commander.py | brant-ruan/IDF4APEV | b5ca7be867a8720ae8eccefb6c9f49c3d53e6888 | [
"MIT"
] | 2 | 2019-12-24T13:56:44.000Z | 2020-05-21T23:23:16.000Z | core/commander.py | brant-ruan/IDF4APEV | b5ca7be867a8720ae8eccefb6c9f49c3d53e6888 | [
"MIT"
] | 1 | 2020-01-05T16:30:07.000Z | 2020-01-19T14:19:55.000Z | core/commander.py | brant-ruan/IDF4APEV | b5ca7be867a8720ae8eccefb6c9f49c3d53e6888 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
@File : commander.py
@Time : 2019-04-20 11:04
@Author : Bonan Ruan
@Desc :
"""
from core.executer import Executer
from core.builder import Builder
from core.poc_manager import PoCManager
import utils.utils as utils
import utils.consts as consts
import time
clas... | 32.798611 | 87 | 0.56913 | 3,384 | 0.715887 | 0 | 0 | 0 | 0 | 0 | 0 | 838 | 0.177279 |
d6357aa58a908129b11e43500c1352a82061c155 | 221 | py | Python | simple_fun_#8_kill_kth_bit.py | Kunalpod/codewars | 8dc1af2f3c70e209471045118fd88b3ea1e627e5 | [
"MIT"
] | null | null | null | simple_fun_#8_kill_kth_bit.py | Kunalpod/codewars | 8dc1af2f3c70e209471045118fd88b3ea1e627e5 | [
"MIT"
] | null | null | null | simple_fun_#8_kill_kth_bit.py | Kunalpod/codewars | 8dc1af2f3c70e209471045118fd88b3ea1e627e5 | [
"MIT"
] | null | null | null | #Kunal Gautam
#Codewars : @Kunalpod
#Problem name: Simple Fun #8: Kill K-th Bit
#Problem level: 7 kyu
def kill_kth_bit(n, k):
b = list(bin(n))[2:]
if len(b)>=k:
b[(-1)*k]='0'
return int(''.join(b),2)
| 20.090909 | 43 | 0.574661 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 103 | 0.466063 |
d63694f86e4ed918545d1903e9b03048a216a8c1 | 11,872 | py | Python | notebooks/Easily_creating_MAB_problems.py | balbok0/SMPyBandits | c8ff765687989e0c20ab42c2e2e1d8440923225b | [
"MIT"
] | 309 | 2018-03-03T22:07:59.000Z | 2022-03-26T08:15:58.000Z | notebooks/Easily_creating_MAB_problems.py | balbok0/SMPyBandits | c8ff765687989e0c20ab42c2e2e1d8440923225b | [
"MIT"
] | 125 | 2018-02-27T22:54:03.000Z | 2021-11-05T10:50:15.000Z | notebooks/Easily_creating_MAB_problems.py | balbok0/SMPyBandits | c8ff765687989e0c20ab42c2e2e1d8440923225b | [
"MIT"
] | 60 | 2018-04-30T20:54:24.000Z | 2022-02-21T22:41:46.000Z |
# coding: utf-8
# # Table of Contents
# <p><div class="lev1 toc-item"><a href="#Easily-creating-MAB-problems" data-toc-modified-id="Easily-creating-MAB-problems-1"><span class="toc-item-num">1 </span>Easily creating MAB problems</a></div><div class="lev2 toc-item"><a href="#Constant-arms" data-toc-modifie... | 29.754386 | 2,979 | 0.667284 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8,923 | 0.7516 |
d637a2b8924bbeab40c70b956e11139d73b51255 | 24,464 | py | Python | scripts/pathlines_working_2_panel_10.py | alexkaiser/heart_valves | 53f30ec3680503542890a84949b7fb51d1734272 | [
"BSD-3-Clause"
] | null | null | null | scripts/pathlines_working_2_panel_10.py | alexkaiser/heart_valves | 53f30ec3680503542890a84949b7fb51d1734272 | [
"BSD-3-Clause"
] | null | null | null | scripts/pathlines_working_2_panel_10.py | alexkaiser/heart_valves | 53f30ec3680503542890a84949b7fb51d1734272 | [
"BSD-3-Clause"
] | null | null | null | # state file generated using paraview version 5.8.0
# ----------------------------------------------------------------
# setup views used in the visualization
# ----------------------------------------------------------------
# trace generated using paraview version 5.8.0
#
# To ensure correct image size when batch p... | 46.333333 | 209 | 0.768762 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8,263 | 0.337762 |
d63812b8fe6e16b469f6f47a426cfd5513175e5a | 1,642 | py | Python | filter_plugins/filter_for_dict_list.py | link-u/ansible-roles-v2_php7 | f0572912d80f5660401878c69bb2836e960d1819 | [
"MIT"
] | null | null | null | filter_plugins/filter_for_dict_list.py | link-u/ansible-roles-v2_php7 | f0572912d80f5660401878c69bb2836e960d1819 | [
"MIT"
] | 9 | 2021-04-01T17:10:50.000Z | 2022-03-24T04:58:44.000Z | filter_plugins/filter_for_dict_list.py | link-u/ansible-roles-v2_php7 | f0572912d80f5660401878c69bb2836e960d1819 | [
"MIT"
] | null | null | null | from ansible.errors import AnsibleError
class FilterModule(object):
def filters(self):
return {
'combine_dict_list': self.combine_dict_list,
'search_from_dict_list': self.search_from_dict_list,
'search_item_from_dict_list': self.search_item_from_dict_list,
}
... | 34.93617 | 118 | 0.576736 | 1,600 | 0.974421 | 0 | 0 | 0 | 0 | 0 | 0 | 117 | 0.071255 |
d63938f44216c738332a0d7aa25f8974f8dd7bb6 | 309 | py | Python | tests/functional/en_ABBR/test_numbers.py | staticdev/human-readable | 1c3328560f9b8097e1bc3ec6fceefa486c264fd5 | [
"MIT"
] | 5 | 2021-03-10T21:22:31.000Z | 2022-03-23T04:38:07.000Z | tests/functional/en_ABBR/test_numbers.py | staticdev/human-readable | 1c3328560f9b8097e1bc3ec6fceefa486c264fd5 | [
"MIT"
] | 59 | 2021-02-13T10:08:23.000Z | 2022-03-14T19:43:55.000Z | tests/functional/en_ABBR/test_numbers.py | staticdev/human-readable | 1c3328560f9b8097e1bc3ec6fceefa486c264fd5 | [
"MIT"
] | null | null | null | """Tests for ru_RU numbers humanizing."""
from pytest_mock import MockerFixture
import human_readable
def test_int_word(activate_en_abbr: MockerFixture) -> None:
"""It returns int word number."""
expected = "12.3 B"
result = human_readable.int_word(12345591313)
assert result == expected
| 22.071429 | 59 | 0.731392 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 0.265372 |
d63d3dd54daeaac526e70dbb33215bb44fc3d009 | 733 | py | Python | csdnpaper/csdnpaper/pipelines.py | sy2616/DATA | 8d2314b23c9757c8f54a85a01b451aaa29054912 | [
"Apache-2.0"
] | 2 | 2020-08-08T02:02:04.000Z | 2020-12-22T09:12:09.000Z | csdnpaper/csdnpaper/pipelines.py | sy2616/DATA | 8d2314b23c9757c8f54a85a01b451aaa29054912 | [
"Apache-2.0"
] | null | null | null | csdnpaper/csdnpaper/pipelines.py | sy2616/DATA | 8d2314b23c9757c8f54a85a01b451aaa29054912 | [
"Apache-2.0"
] | null | null | null | # Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
# useful for handling different item types with a single interface
from itemadapter import ItemAdapter
from scrapy.pipelines.files import FilesPipeli... | 31.869565 | 66 | 0.721692 | 394 | 0.537517 | 106 | 0.144611 | 0 | 0 | 0 | 0 | 264 | 0.360164 |
d63de35a7cbc93490b36f2a69557bc91a57c22d4 | 633 | py | Python | python/merge_2_sorted_lists.py | anishLearnsToCode/leetcode-algorithms | d5a84e9179a4c3427890313a933fe1950fbcdabc | [
"MIT"
] | 17 | 2020-06-13T15:05:55.000Z | 2022-03-16T18:28:53.000Z | python/merge_2_sorted_lists.py | anishLearnsToCode/leetcode-algorithms | d5a84e9179a4c3427890313a933fe1950fbcdabc | [
"MIT"
] | null | null | null | python/merge_2_sorted_lists.py | anishLearnsToCode/leetcode-algorithms | d5a84e9179a4c3427890313a933fe1950fbcdabc | [
"MIT"
] | 9 | 2020-12-27T19:17:58.000Z | 2022-03-22T07:02:19.000Z | # Definition for singly-linked list.
class ListNode:
def __init__(self, val=0, next=None):
self.val = val
self.next = next
class Solution:
def mergeTwoLists(self, l1: ListNode, l2: ListNode) -> ListNode:
result = ListNode(val=-1)
previous = result
while l1 is not None ... | 26.375 | 68 | 0.537125 | 592 | 0.935229 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0.056872 |
d6402fece1eb7235af268a48c88cea7e7009af96 | 1,778 | py | Python | pirates/leveleditor/worldData/pvpTestv2.py | itsyaboyrocket/pirates | 6ca1e7d571c670b0d976f65e608235707b5737e3 | [
"BSD-3-Clause"
] | 3 | 2021-02-25T06:38:13.000Z | 2022-03-22T07:00:15.000Z | pirates/leveleditor/worldData/pvpTestv2.py | itsyaboyrocket/pirates | 6ca1e7d571c670b0d976f65e608235707b5737e3 | [
"BSD-3-Clause"
] | null | null | null | pirates/leveleditor/worldData/pvpTestv2.py | itsyaboyrocket/pirates | 6ca1e7d571c670b0d976f65e608235707b5737e3 | [
"BSD-3-Clause"
] | 1 | 2021-02-25T06:38:17.000Z | 2021-02-25T06:38:17.000Z | # uncompyle6 version 3.2.0
# Python bytecode 2.4 (62061)
# Decompiled from: Python 2.7.14 (v2.7.14:84471935ed, Sep 16 2017, 20:19:30) [MSC v.1500 32 bit (Intel)]
# Embedded file name: pirates.leveleditor.worldData.pvpTestv2
from pandac.PandaModules import Point3, VBase3
objectStruct = {'Objects': {'1128540775.81jubutle... | 296.333333 | 1,507 | 0.662542 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,220 | 0.686164 |
d64364d5d663ab2f6e187dde65f5c3f8303a30c3 | 954 | py | Python | paperscraper/6-get_unique_authors.py | ahmed-shariff/scraper | 52bed967db7e08e438daaa8dfa8d9338567ad7c2 | [
"MIT"
] | 1 | 2021-11-19T02:56:22.000Z | 2021-11-19T02:56:22.000Z | paperscraper/6-get_unique_authors.py | ahmed-shariff/scraper | 52bed967db7e08e438daaa8dfa8d9338567ad7c2 | [
"MIT"
] | 1 | 2021-11-19T03:42:58.000Z | 2022-03-29T16:32:16.000Z | paperscraper/6-get_unique_authors.py | ahmed-shariff/scraper | 52bed967db7e08e438daaa8dfa8d9338567ad7c2 | [
"MIT"
] | 1 | 2021-11-19T02:56:28.000Z | 2021-11-19T02:56:28.000Z | # External packages
import sys
import pandas as pd
import ast
import os
# Internal modules
import paperscraper.config as config
def main():
# Read input file
df_scraped_input = pd.read_csv(config.path_postprocessing_output, sep='\t', index_col=0)
unique_authors = set()
for index, row in df_scraped_... | 26.5 | 116 | 0.659329 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 234 | 0.245283 |
d64364dcbe1dd315e49d5ec2ee8c732d5c9f2c9d | 2,511 | py | Python | src/tiden/tidenfabric.py | mshonichev/example_pkg | 556a703fe8ea4a7737b8cae9c5d4d19c1397a70b | [
"Apache-2.0"
] | 14 | 2020-06-05T09:30:42.000Z | 2022-01-19T00:26:48.000Z | src/tiden/tidenfabric.py | mshonichev/example_pkg | 556a703fe8ea4a7737b8cae9c5d4d19c1397a70b | [
"Apache-2.0"
] | 6 | 2020-06-09T14:05:21.000Z | 2021-03-18T13:55:15.000Z | src/tiden/tidenfabric.py | mshonichev/example_pkg | 556a703fe8ea4a7737b8cae9c5d4d19c1397a70b | [
"Apache-2.0"
] | 1 | 2020-06-09T13:53:15.000Z | 2020-06-09T13:53:15.000Z | #!/usr/bin/env python3
#
# Copyright 2017-2020 GridGain Systems.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | 30.253012 | 117 | 0.685384 | 1,649 | 0.65671 | 0 | 0 | 1,660 | 0.661091 | 0 | 0 | 716 | 0.285145 |
d64587d60e9a4f706954810829075388a9ad602e | 7,453 | bzl | Python | package_managers/download_pkgs.bzl | mikekamornikov/base-images-docker | 10df42be69f0c4afc87f0df9a0b35fcfb43b5854 | [
"Apache-2.0"
] | null | null | null | package_managers/download_pkgs.bzl | mikekamornikov/base-images-docker | 10df42be69f0c4afc87f0df9a0b35fcfb43b5854 | [
"Apache-2.0"
] | null | null | null | package_managers/download_pkgs.bzl | mikekamornikov/base-images-docker | 10df42be69f0c4afc87f0df9a0b35fcfb43b5854 | [
"Apache-2.0"
] | null | null | null | #Copyright 2017 Google Inc. All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agree... | 36.179612 | 166 | 0.700255 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,397 | 0.589964 |
d646dec8e4a9b46e4c87b603db2467ff487bbb88 | 765 | py | Python | src/app.py | Gscienty/openfaas_wechat | 9c959228e3a87d6857876ce1c0f33f527dd0f67e | [
"MIT"
] | 1 | 2019-11-14T06:12:43.000Z | 2019-11-14T06:12:43.000Z | src/app.py | Gscienty/openfaas_wechat | 9c959228e3a87d6857876ce1c0f33f527dd0f67e | [
"MIT"
] | null | null | null | src/app.py | Gscienty/openfaas_wechat | 9c959228e3a87d6857876ce1c0f33f527dd0f67e | [
"MIT"
] | null | null | null | from flask import Flask, request, abort, jsonify
import wechat_sec, http_util
import sys
import os
import logging
app = Flask(__name__)
app.logger.setLevel(logging.NOTSET)
def process(uri, sec=False):
run_env = os.getenv('RUN_ENV')
req = wechat_sec.req_build(request.json)
if run_env in { 'develop', 'mock... | 28.333333 | 109 | 0.682353 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 0.111111 |
d6483a58a24b696782a730062dce4d1c9a9cbd47 | 23,517 | py | Python | archivebot.py | Botomatik/JackBot | 58651d8b5a5bcead2a2eb79849019cb4f972b7cd | [
"MIT"
] | null | null | null | archivebot.py | Botomatik/JackBot | 58651d8b5a5bcead2a2eb79849019cb4f972b7cd | [
"MIT"
] | null | null | null | archivebot.py | Botomatik/JackBot | 58651d8b5a5bcead2a2eb79849019cb4f972b7cd | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
archivebot.py - discussion page archiving bot.
usage:
python archivebot.py [OPTIONS] TEMPLATE_PAGE
Bot examines backlinks (Special:Whatlinkshere) to TEMPLATE_PAGE.
Then goes through all pages (unless a specific page specified using options)
and archives old discu... | 38.115073 | 111 | 0.551346 | 13,408 | 0.570141 | 474 | 0.020156 | 0 | 0 | 0 | 0 | 8,856 | 0.376579 |
d649dcfccb6ac131b6a60ee86fa69ca48bf06995 | 1,911 | py | Python | tests/commands/test_render_workflow_graph.py | SebastianKapunkt/joeflow | fbec6685d9d5fb2a4e3db92a9ca6e58cf5a4bce8 | [
"BSD-3-Clause"
] | 46 | 2019-01-29T18:23:38.000Z | 2022-02-03T12:47:16.000Z | tests/commands/test_render_workflow_graph.py | codingjoe/galahad | ee52b81a8df868e5ab050345550596dbdcd23d5f | [
"BSD-3-Clause"
] | 34 | 2019-10-11T03:42:56.000Z | 2022-03-11T15:51:28.000Z | tests/commands/test_render_workflow_graph.py | codingjoe/galahad | ee52b81a8df868e5ab050345550596dbdcd23d5f | [
"BSD-3-Clause"
] | 11 | 2020-04-22T07:17:16.000Z | 2022-02-15T08:44:47.000Z | import os
import tempfile
from pathlib import Path
from django.core.management import call_command
def test_call_no_args():
tmp_dir = Path(tempfile.mkdtemp())
call_command("render_workflow_graph", "-d", tmp_dir)
assert os.path.exists(str(tmp_dir / "testapp_simpleworkflow.svg"))
assert os.path.exists(... | 34.125 | 88 | 0.710623 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 590 | 0.308739 |
d64a3ccc83969aa669a9917a8a8c8e9feb5b0a3c | 276 | py | Python | apps/core/migrations/0003_delete_stat.py | vanyakosmos/memes-reposter | 7bcd1117a81777f0662bcca38690de0c0404dbfa | [
"MIT"
] | 26 | 2019-01-19T21:07:57.000Z | 2022-03-07T16:07:52.000Z | apps/core/migrations/0003_delete_stat.py | BinaryWorld0101201/memes-reposter | de2be9a07d1197100dc9204fdcc78767fe4f4b71 | [
"MIT"
] | 7 | 2020-02-11T22:59:44.000Z | 2021-06-21T07:44:56.000Z | apps/core/migrations/0003_delete_stat.py | BinaryWorld0101201/memes-reposter | de2be9a07d1197100dc9204fdcc78767fe4f4b71 | [
"MIT"
] | 9 | 2018-09-21T06:38:08.000Z | 2022-01-26T11:57:28.000Z | # Generated by Django 2.0.3 on 2018-07-15 11:32
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('core', '0002_stat'),
]
operations = [
migrations.DeleteModel(
name='Stat',
),
]
| 16.235294 | 47 | 0.576087 | 191 | 0.692029 | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 0.253623 |
d64b6639d9b15bb12a5418375591fa34cf7ab5c4 | 1,416 | py | Python | web/pipeline/migrations/0039_auto_20200722_1610.py | stevenstuber/CIT | 8c485e72084c06da6db45da1cb402bac26411ec2 | [
"Apache-2.0"
] | 10 | 2020-11-12T15:13:40.000Z | 2022-03-05T22:33:08.000Z | web/pipeline/migrations/0039_auto_20200722_1610.py | stevenstuber/CIT | 8c485e72084c06da6db45da1cb402bac26411ec2 | [
"Apache-2.0"
] | 28 | 2020-07-17T16:33:55.000Z | 2022-03-21T16:24:25.000Z | web/pipeline/migrations/0039_auto_20200722_1610.py | stevenstuber/CIT | 8c485e72084c06da6db45da1cb402bac26411ec2 | [
"Apache-2.0"
] | 5 | 2020-11-02T23:39:53.000Z | 2022-03-01T19:09:45.000Z | # Generated by Django 2.2.13 on 2020-07-22 16:10
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('pipeline', '0038_hex_isp_service'),
]
operations = [
migrations.AddField(
model_name='service'... | 30.782609 | 213 | 0.58404 | 1,289 | 0.910311 | 0 | 0 | 0 | 0 | 0 | 0 | 279 | 0.197034 |
d64d34e571746e4e8b7826386ea1af2de18078b2 | 9,914 | py | Python | scripts/cbparse.py | maspadaru/starbench | 7230ddcaa5e202f63978d96baa71c31e111ba4f8 | [
"Apache-2.0"
] | null | null | null | scripts/cbparse.py | maspadaru/starbench | 7230ddcaa5e202f63978d96baa71c31e111ba4f8 | [
"Apache-2.0"
] | null | null | null | scripts/cbparse.py | maspadaru/starbench | 7230ddcaa5e202f63978d96baa71c31e111ba4f8 | [
"Apache-2.0"
] | null | null | null | import string
import sys
import os
OPERATOR_BOX = "B"
OPERATOR_DIAMOND = "D"
def print_help():
print ('Usage: python cbparse.py Option Arguments DirectoryPath')
print ('Options: ')
print (' S: parse chasebench data dir - Source Instance')
print (' Arguments: timeline_size')
print (' T... | 33.268456 | 95 | 0.587452 | 6,058 | 0.611055 | 0 | 0 | 0 | 0 | 0 | 0 | 1,235 | 0.124571 |
d64dbb66dc28a89025281d71ffc0283bc9c1aa67 | 1,279 | py | Python | 21.py | oliver-johnston/advent-of-code-2019 | c8774ac98fa0ea861887c35fcae1da3d0435dda4 | [
"MIT"
] | null | null | null | 21.py | oliver-johnston/advent-of-code-2019 | c8774ac98fa0ea861887c35fcae1da3d0435dda4 | [
"MIT"
] | null | null | null | 21.py | oliver-johnston/advent-of-code-2019 | c8774ac98fa0ea861887c35fcae1da3d0435dda4 | [
"MIT"
] | null | null | null | import intcode
class Springdroid:
def __init__(self, instructions):
self.instruction_chars = list("\n".join(instructions)) + ["\n"]
def run(self):
intcode.execute_program(self.get_program(), self.get_input, self.write_output)
def get_input(self):
ch = self.instruction_chars.pop(0... | 29.744186 | 86 | 0.487099 | 585 | 0.457389 | 0 | 0 | 246 | 0.192338 | 0 | 0 | 454 | 0.354965 |
d64e30f234f26d2076908cbc1a63b9953e0bde12 | 694 | py | Python | thread_support.py | loretoparisi/python-threading | f06f809fd830e3e930bbc748df6f6217e03ad6c2 | [
"MIT"
] | 4 | 2019-05-23T19:55:09.000Z | 2019-06-12T19:24:12.000Z | thread_support.py | loretoparisi/python-threading | f06f809fd830e3e930bbc748df6f6217e03ad6c2 | [
"MIT"
] | 1 | 2019-09-04T13:41:08.000Z | 2019-09-23T16:29:31.000Z | thread_support.py | loretoparisi/python-threading | f06f809fd830e3e930bbc748df6f6217e03ad6c2 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# -*- coding: utf-8 -*-
#
# Copyright (c) 2019 loretoparisi@gmail.com
#
from functools import wraps
from .bounded_pool_executor import BoundedThreadPoolExecutor
from .bounded_pool_executor import BoundedProcessPoolExecutor
_DEFAULT_POOL = BoundedThreadPoolExecutor(max_workers=5)
_PROCESS_POOL = Bou... | 25.703704 | 69 | 0.729107 | 0 | 0 | 0 | 0 | 220 | 0.317003 | 0 | 0 | 86 | 0.123919 |
d64f415897e749c6aa56a242b90bd89c895e2511 | 87 | py | Python | protocolws/__init__.py | panmpan17/ProtocolWebsocket | 05893ab47883fec4356f2f617213093eb7d9b4df | [
"MIT"
] | null | null | null | protocolws/__init__.py | panmpan17/ProtocolWebsocket | 05893ab47883fec4356f2f617213093eb7d9b4df | [
"MIT"
] | null | null | null | protocolws/__init__.py | panmpan17/ProtocolWebsocket | 05893ab47883fec4356f2f617213093eb7d9b4df | [
"MIT"
] | null | null | null | from .server import WebsocketServer, ErrMsg
name = "protocolws"
__version__ = "0.2.1"
| 17.4 | 43 | 0.747126 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0.218391 |
d64f495619cee232c074671c5f339c49c18f602c | 1,290 | py | Python | download_images.py | lastcoolnameleft/whisky-training | 1a8eb24942f65ab3055357bfbfca9eca6d2a93be | [
"MIT"
] | null | null | null | download_images.py | lastcoolnameleft/whisky-training | 1a8eb24942f65ab3055357bfbfca9eca6d2a93be | [
"MIT"
] | null | null | null | download_images.py | lastcoolnameleft/whisky-training | 1a8eb24942f65ab3055357bfbfca9eca6d2a93be | [
"MIT"
] | null | null | null | import requests
import pprint
import os
import csv
import sys
import urllib.request
scotch_csv = sys.argv[1]
subscription_key = sys.argv[2]
search_url = "https://api.cognitive.microsoft.com/bing/v7.0/images/search"
scotch_list = []
with open(scotch_csv, newline='') as csvfile:
reader = csv.reader(csvfile, delimit... | 30 | 74 | 0.651163 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 234 | 0.181395 |
d6507e0f90b1d3d5abb107c0a6671d5183fb8865 | 38 | py | Python | srcfmailmanwrapper/__init__.py | danielchriscarter/srcf-python | a7143afd5340338094131a51f560efcd874457d2 | [
"MIT"
] | null | null | null | srcfmailmanwrapper/__init__.py | danielchriscarter/srcf-python | a7143afd5340338094131a51f560efcd874457d2 | [
"MIT"
] | 2 | 2020-08-23T17:23:28.000Z | 2021-04-01T18:32:11.000Z | srcfmailmanwrapper/__init__.py | danielchriscarter/srcf-python | a7143afd5340338094131a51f560efcd874457d2 | [
"MIT"
] | 3 | 2021-01-12T00:06:39.000Z | 2021-09-26T23:31:15.000Z | from . import util
__all__ = ["util"]
| 12.666667 | 18 | 0.657895 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0.157895 |
d65139b8e3aa8a1bba1c0eb4a22dccde013dd9a9 | 2,007 | py | Python | src/vuabl/parsing/data_from_other_asset.py | CncealDVRflectN/vuabl | 1c1f3270d4ad4b730ec9558b65b2f6ea84a5bd50 | [
"MIT"
] | null | null | null | src/vuabl/parsing/data_from_other_asset.py | CncealDVRflectN/vuabl | 1c1f3270d4ad4b730ec9558b65b2f6ea84a5bd50 | [
"MIT"
] | null | null | null | src/vuabl/parsing/data_from_other_asset.py | CncealDVRflectN/vuabl | 1c1f3270d4ad4b730ec9558b65b2f6ea84a5bd50 | [
"MIT"
] | null | null | null | from vuabl.data.data_from_other_asset import DataFromOtherAsset
from vuabl.utils.layout_reader import LayoutReader
import vuabl.parsing.parameters as pparamrs
import vuabl.parsing.asset_type as pasttp
import re
def is_data_from_other_assets_header(line: str) -> bool:
return re.match(r"^\s*Data From Other Assets.... | 30.876923 | 99 | 0.673144 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 101 | 0.050324 |
d655a42e44e0f08cda3777efc3dd6716b3147a5f | 7,132 | py | Python | server/main.py | leemengtaiwan/exbert | 63f1d4503f491c87392626e4c0f1f91cae698228 | [
"Apache-2.0"
] | 1 | 2020-10-26T11:53:57.000Z | 2020-10-26T11:53:57.000Z | server/main.py | leemengtaiwan/exbert | 63f1d4503f491c87392626e4c0f1f91cae698228 | [
"Apache-2.0"
] | null | null | null | server/main.py | leemengtaiwan/exbert | 63f1d4503f491c87392626e4c0f1f91cae698228 | [
"Apache-2.0"
] | 1 | 2020-05-10T15:07:27.000Z | 2020-05-10T15:07:27.000Z | import argparse
from attention_details import (
AttentionDetailsData,
get_token_info,
add_token_info,
)
from pytorch_pretrained_bert import BertModel, BertTokenizer
from flask import render_template, redirect, send_from_directory
from flask_cors import CORS
from utils.mask_att import strip_attention
impo... | 31.839286 | 153 | 0.654655 | 574 | 0.080482 | 0 | 0 | 309 | 0.043326 | 0 | 0 | 2,361 | 0.331043 |
d655e83658bafc1ab331f6546dc484f06d66abeb | 17,119 | py | Python | bayespy/utils/tests/test_misc.py | dungvtdev/upsbayescpm | f6ee877c689046d3c57a2ac06742cfe4a0b6550e | [
"MIT"
] | 622 | 2015-01-15T19:46:06.000Z | 2022-03-22T13:40:22.000Z | bayespy/utils/tests/test_misc.py | dungvtdev/upsbayescpm | f6ee877c689046d3c57a2ac06742cfe4a0b6550e | [
"MIT"
] | 118 | 2015-01-04T06:38:23.000Z | 2021-11-05T17:28:02.000Z | bayespy/utils/tests/test_misc.py | dungvtdev/upsbayescpm | f6ee877c689046d3c57a2ac06742cfe4a0b6550e | [
"MIT"
] | 160 | 2015-02-16T15:30:43.000Z | 2022-03-14T00:52:36.000Z | ################################################################################
# Copyright (C) 2013 Jaakko Luttinen
#
# This file is licensed under the MIT License.
################################################################################
"""
Unit tests for bayespy.utils.misc module.
"""
import unittest
im... | 32.545627 | 80 | 0.356388 | 16,657 | 0.973012 | 0 | 0 | 0 | 0 | 0 | 0 | 1,581 | 0.092354 |
d657cea0bec4ccf577d4498c272dbcb1c60618ac | 1,948 | py | Python | tronos/manual-tracker.py | danilexn/tronos | 64852cc41fba51271470f0c424c60c7587ff9f0f | [
"MIT"
] | 1 | 2021-03-19T03:29:06.000Z | 2021-03-19T03:29:06.000Z | tronos/manual-tracker.py | danilexn/tronos | 64852cc41fba51271470f0c424c60c7587ff9f0f | [
"MIT"
] | 3 | 2020-10-21T13:54:32.000Z | 2020-10-26T19:05:41.000Z | tronos/manual-tracker.py | danilexn/tronos | 64852cc41fba51271470f0c424c60c7587ff9f0f | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# This is a VERY simple and naive manual tracker.
# If you need something more powerful, Fiji is
# absolutely recommended.
# Generic
import argparse
import csv
import numpy as np
import sys
import os
# Imaging and visualization
from PIL import Image
import matplotlib.pyplot as plt
# Functions... | 22.136364 | 101 | 0.602669 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 561 | 0.287988 |
d6584c6c8dc3a1da47bd7f7cc1f456060ecc5d05 | 234 | py | Python | sandbox/lib/jumpscale/JumpscaleLibs/clients/telegram_bot/TelegramBotFactory.py | threefoldtech/threebot_prebuilt | 1f0e1c65c14cef079cd80f73927d7c8318755c48 | [
"Apache-2.0"
] | null | null | null | sandbox/lib/jumpscale/JumpscaleLibs/clients/telegram_bot/TelegramBotFactory.py | threefoldtech/threebot_prebuilt | 1f0e1c65c14cef079cd80f73927d7c8318755c48 | [
"Apache-2.0"
] | 117 | 2019-09-01T11:59:19.000Z | 2020-07-14T11:10:08.000Z | sandbox/lib/jumpscale/JumpscaleLibs/clients/telegram_bot/TelegramBotFactory.py | threefoldtech/threebot_prebuilt | 1f0e1c65c14cef079cd80f73927d7c8318755c48 | [
"Apache-2.0"
] | 2 | 2020-04-06T15:21:23.000Z | 2020-05-07T04:29:53.000Z | from Jumpscale import j
from .TelegramBotClient import TelegramBot
JSConfigs = j.baseclasses.object_config_collection
class TelegramBotFactory(JSConfigs):
__jslocation__ = "j.clients.telegram_bot"
_CHILDCLASS = TelegramBot
| 23.4 | 50 | 0.816239 | 112 | 0.478632 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0.102564 |
d6587d85df1f828c5ddbfdc7e6f01ce7674777d7 | 10,750 | py | Python | tests/test_transfer.py | ivomastre/python-swift-cloud-tools | 1edf440d1bf96c423b0a349bc8a0215897427fa5 | [
"Apache-2.0"
] | null | null | null | tests/test_transfer.py | ivomastre/python-swift-cloud-tools | 1edf440d1bf96c423b0a349bc8a0215897427fa5 | [
"Apache-2.0"
] | null | null | null | tests/test_transfer.py | ivomastre/python-swift-cloud-tools | 1edf440d1bf96c423b0a349bc8a0215897427fa5 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Grupo Globo
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 32.379518 | 257 | 0.619628 | 10,039 | 0.933166 | 0 | 0 | 9,689 | 0.900632 | 0 | 0 | 2,959 | 0.275051 |
d658c086729548623c04cfdeea90310116c48dcd | 5,568 | py | Python | data_preparation/align_caricature_data.py | wendychen0521/DualStyleGAN | d04c665d800a0fae933c234ad9da17a96cb57c07 | [
"MIT"
] | 488 | 2022-03-20T08:36:40.000Z | 2022-03-31T22:58:54.000Z | data_preparation/align_caricature_data.py | Guttappa1238/DualStyleGAN | 67751d90d1a23358f6cbe5d23e3475cbe2cebff2 | [
"MIT"
] | 10 | 2022-03-20T13:04:10.000Z | 2022-03-31T14:39:47.000Z | data_preparation/align_caricature_data.py | Guttappa1238/DualStyleGAN | 67751d90d1a23358f6cbe5d23e3475cbe2cebff2 | [
"MIT"
] | 70 | 2022-03-20T08:53:27.000Z | 2022-03-31T05:15:58.000Z | import numpy as np
import scipy.ndimage
import os
import PIL.Image
txtpath = './caricature.txt'
lmpath = './WebCaricature/FacialPoints/'
impath = './WebCaricature/OriginalImages/'
outpath = './Caricature/'
def image_align(src_file, dst_file, face_landmarks, output_size=1024, transform_size=4096, enable_padding=True, ... | 44.544 | 169 | 0.547055 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,221 | 0.219289 |
d65a40564489076d2504ca869d13f4f429ac3159 | 5,153 | py | Python | src/rcpicar/util/argument.py | franzmandl/rcpicar | f847f918862edd3ad1ca9b00b845e61b52500ca7 | [
"MIT"
] | null | null | null | src/rcpicar/util/argument.py | franzmandl/rcpicar | f847f918862edd3ad1ca9b00b845e61b52500ca7 | [
"MIT"
] | null | null | null | src/rcpicar/util/argument.py | franzmandl/rcpicar | f847f918862edd3ad1ca9b00b845e61b52500ca7 | [
"MIT"
] | null | null | null | from __future__ import annotations
from abc import ABC, abstractmethod
from argparse import ArgumentParser, MetavarTypeHelpFormatter
from sys import version_info
from typing import Any, Callable, Dict, Generic, Iterable, Mapping, Optional, Sequence, Tuple, Type, TypeVar
if version_info >= (3, 8):
from typing import... | 32.821656 | 117 | 0.653406 | 3,106 | 0.602756 | 0 | 0 | 233 | 0.045216 | 0 | 0 | 290 | 0.056278 |
d65b3ae9db9f669f24fe5f8904d09f18ade80dc9 | 693 | py | Python | lib/utils/folderdeleter.py | RDCEP/hybrid-dile-server | c998432756ecf3a75c6339aa25d1c4a9866aa1e7 | [
"Apache-2.0"
] | null | null | null | lib/utils/folderdeleter.py | RDCEP/hybrid-dile-server | c998432756ecf3a75c6339aa25d1c4a9866aa1e7 | [
"Apache-2.0"
] | null | null | null | lib/utils/folderdeleter.py | RDCEP/hybrid-dile-server | c998432756ecf3a75c6339aa25d1c4a9866aa1e7 | [
"Apache-2.0"
] | null | null | null | import boto
import boto.s3
from misc import printProgress, pathLeaf
idkeypath = '/home/ubuntu/.s3/AWS_ACCESS_KEY_ID'
secretkeypath = '/home/ubuntu/.s3/AWS_SECRET_ACCESS_KEY'
bucketname = 'edu-uchicago-rdcep-diles'
folder = ''
with open(idkeypath) as myfile:
id_access_key = myfile.read().replace('\n',... | 21.65625 | 57 | 0.727273 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 177 | 0.255411 |
c38706caa52372bd80ca5ff9d1179f9716376ef6 | 4,170 | py | Python | Classifier/data/process_data.py | vigilancetrent/chatbot-advanced | 2e0c72c4df2e1434da995b7105f8f0414aba6248 | [
"Apache-2.0"
] | 52 | 2020-02-06T06:18:52.000Z | 2022-02-23T07:21:46.000Z | Classifier/data/process_data.py | vigilancetrent/chatbot-advanced | 2e0c72c4df2e1434da995b7105f8f0414aba6248 | [
"Apache-2.0"
] | 5 | 2020-11-20T11:26:23.000Z | 2021-12-01T14:22:44.000Z | Classifier/data/process_data.py | vigilancetrent/chatbot-advanced | 2e0c72c4df2e1434da995b7105f8f0414aba6248 | [
"Apache-2.0"
] | 20 | 2020-01-14T05:01:39.000Z | 2021-12-02T23:28:02.000Z | import pickle
import sys
sys.path.append("../../") # nopep8
from Sentence_Encoder.meta_query_encoder import encode
import tensorflow.compat.v1 as tf
import tensorflow_text
import tensorflow_hub as hub
import numpy as np
tf.disable_eager_execution()
sess = tf.InteractiveSession(graph=tf.Graph())
ConvRT_model = hub.Mo... | 28.175676 | 121 | 0.631415 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 380 | 0.091127 |
c3892365eea6eb09110211a34cc5ac5c7a48f371 | 2,616 | py | Python | topojoin/cli.py | SimmonsRitchie/topojoin | 5c5848ae05a249c38babdc449dbd89df1b644b61 | [
"MIT"
] | 1 | 2020-08-04T04:36:05.000Z | 2020-08-04T04:36:05.000Z | topojoin/cli.py | SimmonsRitchie/topojoin | 5c5848ae05a249c38babdc449dbd89df1b644b61 | [
"MIT"
] | null | null | null | topojoin/cli.py | SimmonsRitchie/topojoin | 5c5848ae05a249c38babdc449dbd89df1b644b61 | [
"MIT"
] | null | null | null | """Console script for topojoin."""
import os
import sys
from pathlib import Path
import click
from topojoin.topojoin import TopoJoin
from typing import Union, Dict, Any
@click.command()
@click.argument("topo_path", type=click.Path(exists=True))
@click.argument("csv_path", type=click.Path(exists=True))
@click.option(
... | 27.536842 | 104 | 0.635321 | 0 | 0 | 0 | 0 | 2,374 | 0.907492 | 0 | 0 | 1,091 | 0.417049 |
c389e2c1ae91273e918a68d04e0d2427360ed8c8 | 16,112 | py | Python | empowermentexploration/models/visualization.py | franziskabraendle/alchemy_empowerment | 83655daff99ea5dbada196fdf7ae21781cbb241e | [
"MIT"
] | null | null | null | empowermentexploration/models/visualization.py | franziskabraendle/alchemy_empowerment | 83655daff99ea5dbada196fdf7ae21781cbb241e | [
"MIT"
] | null | null | null | empowermentexploration/models/visualization.py | franziskabraendle/alchemy_empowerment | 83655daff99ea5dbada196fdf7ae21781cbb241e | [
"MIT"
] | null | null | null | import empowermentexploration.utils.data_handle as data_handle
import empowermentexploration.utils.helpers as helpers
import matplotlib as mpl
import matplotlib.colors as c
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
from scipy.stats import sem
mpl.use('Agg')
class Visualization():
""... | 51.312102 | 231 | 0.602781 | 15,820 | 0.981877 | 0 | 0 | 0 | 0 | 0 | 0 | 5,851 | 0.363145 |
c38a83e6b2c88a03120a4896e9b8292e72824900 | 1,186 | py | Python | src/pybind.py | disenone/pybind | e63a849066596e25f489bac06a77ccc7ad41827f | [
"MIT"
] | null | null | null | src/pybind.py | disenone/pybind | e63a849066596e25f489bac06a77ccc7ad41827f | [
"MIT"
] | null | null | null | src/pybind.py | disenone/pybind | e63a849066596e25f489bac06a77ccc7ad41827f | [
"MIT"
] | null | null | null | # -*- coding:utf-8 -*
import os
import sys
import util
def GetAllHeader(folder):
files = []
for dirpath, dirnames, filenames in os.walk(folder):
for file in filenames:
if file.endswith('.h') or file.endswith('.hpp'):
files.append(os.path.join(dirpath, file))
... | 28.238095 | 100 | 0.584317 | 851 | 0.713926 | 0 | 0 | 0 | 0 | 0 | 0 | 87 | 0.072987 |
c38ac124aa00145b8a036028e35c373f39315aa7 | 5,917 | py | Python | pyzoo/zoo/chronos/autots/model/auto_prophet.py | cabuliwallah/analytics-zoo | 5e662bd01c5fc7eed412973119594cf2ecea8b11 | [
"Apache-2.0"
] | 1 | 2021-06-16T11:42:32.000Z | 2021-06-16T11:42:32.000Z | pyzoo/zoo/chronos/autots/model/auto_prophet.py | cabuliwallah/analytics-zoo | 5e662bd01c5fc7eed412973119594cf2ecea8b11 | [
"Apache-2.0"
] | null | null | null | pyzoo/zoo/chronos/autots/model/auto_prophet.py | cabuliwallah/analytics-zoo | 5e662bd01c5fc7eed412973119594cf2ecea8b11 | [
"Apache-2.0"
] | null | null | null | # +
#
# Copyright 2018 Analytics Zoo Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agree... | 44.825758 | 99 | 0.616022 | 5,200 | 0.878824 | 0 | 0 | 0 | 0 | 0 | 0 | 3,879 | 0.655569 |
c38ac90ca808d2dd0ca78ec136aaa0e419c7ab9a | 88 | py | Python | CodeUP/Python basic 100/6081.py | cmsong111/NJ_code | 2df6176d179e168a2789a825ddeb977a82eb8d97 | [
"MIT"
] | null | null | null | CodeUP/Python basic 100/6081.py | cmsong111/NJ_code | 2df6176d179e168a2789a825ddeb977a82eb8d97 | [
"MIT"
] | null | null | null | CodeUP/Python basic 100/6081.py | cmsong111/NJ_code | 2df6176d179e168a2789a825ddeb977a82eb8d97 | [
"MIT"
] | null | null | null | n = int(input(),16)
for i in range(1,16):
print("%X"%n,"*%X"%i,"=%X"%(n*i),sep="")
| 17.6 | 44 | 0.454545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0.181818 |
c38bc899014dd58543369ec2535371a13a21d780 | 129 | py | Python | sapi_app/admin.py | calixo888/sapi | a2ff327795a7ea088cb158f7738af9121e465a08 | [
"MIT"
] | null | null | null | sapi_app/admin.py | calixo888/sapi | a2ff327795a7ea088cb158f7738af9121e465a08 | [
"MIT"
] | 7 | 2020-06-06T01:14:59.000Z | 2022-02-10T09:21:28.000Z | sapi_app/admin.py | calixo888/sapi | a2ff327795a7ea088cb158f7738af9121e465a08 | [
"MIT"
] | null | null | null | from django.contrib import admin
from . import models
admin.site.register(models.APIKey)
admin.site.register(models.JSONRecord)
| 21.5 | 38 | 0.821705 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c38be7eb99340230dc41782be5bfea2761dd7514 | 4,882 | py | Python | process-data.py | RE-Lab-Projects/TRY_DE_2015_2045 | 419c665fd0f693accd5fc72ab352f0b53b1d1008 | [
"MIT"
] | 1 | 2021-07-15T12:06:03.000Z | 2021-07-15T12:06:03.000Z | process-data.py | RE-Lab-Projects/TRY_DE_2015_2045 | 419c665fd0f693accd5fc72ab352f0b53b1d1008 | [
"MIT"
] | null | null | null | process-data.py | RE-Lab-Projects/TRY_DE_2015_2045 | 419c665fd0f693accd5fc72ab352f0b53b1d1008 | [
"MIT"
] | null | null | null | # To add a new cell, type '# %%'
# To add a new markdown cell, type '# %% [markdown]'
# %%
import pandas as pd
import glob
import os
# %%
# Read and format raw data and save to csv
# Pattern for the dataset names: TRY_[1-15]_[a,w,s]_[2015,2045] with
# 1-15 -> test reference region number
# a,w,s -> average, extreme w... | 55.477273 | 152 | 0.447358 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,967 | 0.402909 |
c38cd67552cc0c16f9183da6e9feae5e2b7e61f8 | 1,100 | py | Python | twelve-days/twelve_days.py | Isaac-Tolu/exercism-python | 17c26b446e1f79a24daf6736dcf9982c16d06c50 | [
"MIT"
] | null | null | null | twelve-days/twelve_days.py | Isaac-Tolu/exercism-python | 17c26b446e1f79a24daf6736dcf9982c16d06c50 | [
"MIT"
] | null | null | null | twelve-days/twelve_days.py | Isaac-Tolu/exercism-python | 17c26b446e1f79a24daf6736dcf9982c16d06c50 | [
"MIT"
] | null | null | null | structure = [
('first', 'a Partridge in a Pear Tree.'),
('second', 'two Turtle Doves, '),
('third', 'three French Hens, '),
('fourth', 'four Calling Birds, '),
('fifth', 'five Gold Rings, '),
('sixth', 'six Geese-a-Laying, '),
('seventh', 'seven Swans-a-Swimming, '),
('eighth', 'eight Ma... | 28.205128 | 73 | 0.597273 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 463 | 0.420909 |
c38ce11c9e42c5f4b8653751b56d5c8f4e4e9b17 | 6,695 | py | Python | pluralforms.py | might-and-magic/mm678_i18n | ddc37c743ac37169908641dcd5328a7ccae5138f | [
"MIT"
] | 17 | 2020-02-25T14:37:23.000Z | 2022-02-21T15:33:09.000Z | pluralforms.py | tomchen/csv2po | 75e53fbc5c473b16e8dac153ee99793fad0cd5d0 | [
"MIT"
] | 1 | 2022-01-09T02:14:56.000Z | 2022-02-13T10:08:11.000Z | pluralforms.py | tomchen/csv2po | 75e53fbc5c473b16e8dac153ee99793fad0cd5d0 | [
"MIT"
] | 3 | 2020-10-06T20:38:13.000Z | 2021-02-17T02:11:17.000Z | # The list is from http://docs.translatehouse.org/projects/localization-guide/en/latest/l10n/pluralforms.html
pluralforms = {
'ay': 'nplurals=1; plural=0;',
'bo': 'nplurals=1; plural=0;',
'cgg': 'nplurals=1; plural=0;',
'dz': 'nplurals=1; plural=0;',
'id': 'nplurals=1; plural=0;',
'ja': 'nplurals=1; plural=0;',
'jbo':... | 45.544218 | 111 | 0.494548 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,105 | 0.911875 |
c38d8ac60747c245aab0ce791acabf2f1970e557 | 2,649 | py | Python | vspace_utils/views.py | visualspace/django-vspace-utils | 9bf86354f8dbcf8ee8c308345836f824e2cd7a63 | [
"BSD-3-Clause"
] | null | null | null | vspace_utils/views.py | visualspace/django-vspace-utils | 9bf86354f8dbcf8ee8c308345836f824e2cd7a63 | [
"BSD-3-Clause"
] | null | null | null | vspace_utils/views.py | visualspace/django-vspace-utils | 9bf86354f8dbcf8ee8c308345836f824e2cd7a63 | [
"BSD-3-Clause"
] | null | null | null | import logging
logger = logging.getLogger(__name__)
from django.views.generic import TemplateView
from django.utils.decorators import method_decorator
from django.contrib.auth.decorators import login_required
from django.template import RequestContext, Context, loader
from django.http import HttpResponseServerError
... | 31.164706 | 82 | 0.651944 | 1,677 | 0.633069 | 0 | 0 | 147 | 0.055493 | 0 | 0 | 1,498 | 0.565496 |
c38df6c81925bf5c22b6fcfcfc835d261c43fac7 | 896 | py | Python | Tests/test_validation_all_contacts_info.py | nprockaya/python_training | fe7643f59cc899ebd806d8b1747df0775e9fcf24 | [
"Apache-2.0"
] | 1 | 2021-02-10T12:48:58.000Z | 2021-02-10T12:48:58.000Z | Tests/test_validation_all_contacts_info.py | nprockaya/python_training | fe7643f59cc899ebd806d8b1747df0775e9fcf24 | [
"Apache-2.0"
] | null | null | null | Tests/test_validation_all_contacts_info.py | nprockaya/python_training | fe7643f59cc899ebd806d8b1747df0775e9fcf24 | [
"Apache-2.0"
] | null | null | null | from Utils.string_utils import clear_spaces as clear
def test_validation_all_contacts_info(app, db):
ui_contacts_list = app.contact.get_contact_list()
db_contacts_list = db.get_contact_list()
assert len(ui_contacts_list) == len(db_contacts_list)
for ui_contact in ui_contacts_list:
db_contact =... | 56 | 117 | 0.767857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c38e421262f215fdac54068119047281c12a3966 | 1,423 | py | Python | get_max_audio.py | ykvch/QABox | 41e00a9d75963773b52b002e41c8a4d77497fdbd | [
"BSD-2-Clause"
] | null | null | null | get_max_audio.py | ykvch/QABox | 41e00a9d75963773b52b002e41c8a4d77497fdbd | [
"BSD-2-Clause"
] | null | null | null | get_max_audio.py | ykvch/QABox | 41e00a9d75963773b52b002e41c8a4d77497fdbd | [
"BSD-2-Clause"
] | null | null | null | """
Test obtaining peak audio values with PyAV:
time python pyav_audio_vol.py ~/Videos/sample.mp4
Reference:
https://ffmpeg.org/doxygen/trunk/group__lavu__sampfmts.html
"""
import sys
import av
from numpy import abs, sqrt, vdot, fromiter, float64, uint8, average, frombuffer, mean
import matplotlib.pyplot as plt
vid... | 30.276596 | 107 | 0.718904 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 828 | 0.581869 |
c38e887d0a177dd20b88ba2a70783be48abc646b | 937 | py | Python | python_sandbox/python_sandbox/effective_python/item25.py | jduan/cosmos | c4bdc5b800c9b51084daf874769ac73e1c4b7dd5 | [
"MIT"
] | null | null | null | python_sandbox/python_sandbox/effective_python/item25.py | jduan/cosmos | c4bdc5b800c9b51084daf874769ac73e1c4b7dd5 | [
"MIT"
] | null | null | null | python_sandbox/python_sandbox/effective_python/item25.py | jduan/cosmos | c4bdc5b800c9b51084daf874769ac73e1c4b7dd5 | [
"MIT"
] | null | null | null | # Things to Remember
#
# Python’s standard method resolution order (MRO) solves the problems of superclass
# initialization order and diamond inheritance.
#
# Always use the "super" built-in function to initialize parent classes.
class MyBaseClass(object):
def __init__(self, value):
self.value = value
c... | 27.558824 | 90 | 0.681964 | 695 | 0.740149 | 0 | 0 | 0 | 0 | 0 | 0 | 447 | 0.476038 |
c390d3f41e8a75d80d2f51aece360b98c9e31e37 | 1,164 | py | Python | ml_app/src/api/serve.py | marcostx/mlops-playground | 7c170e7a94a5a27f67884f63574ce79efd9ffdd6 | [
"MIT"
] | null | null | null | ml_app/src/api/serve.py | marcostx/mlops-playground | 7c170e7a94a5a27f67884f63574ce79efd9ffdd6 | [
"MIT"
] | null | null | null | ml_app/src/api/serve.py | marcostx/mlops-playground | 7c170e7a94a5a27f67884f63574ce79efd9ffdd6 | [
"MIT"
] | null | null | null | from flask import Blueprint, request, jsonify
from flasgger import Swagger, LazyJSONEncoder
from flasgger.utils import swag_from
from src.model.test import make_prediction
from src.api.config import get_logger
_logger = get_logger(logger_name=__name__)
prediction_app = Blueprint('prediction_app', __name__)
@predict... | 28.390244 | 62 | 0.665808 | 0 | 0 | 0 | 0 | 849 | 0.729381 | 0 | 0 | 368 | 0.316151 |
c390e18727737c534ccf5f5efd296570308b2ff9 | 921 | py | Python | visualization/colorbar.py | CAMI-DKFZ/simpa_paper_experiments | f5a37d57692b29b78b85d60a38e4dc0aaa5aadfc | [
"MIT"
] | null | null | null | visualization/colorbar.py | CAMI-DKFZ/simpa_paper_experiments | f5a37d57692b29b78b85d60a38e4dc0aaa5aadfc | [
"MIT"
] | null | null | null | visualization/colorbar.py | CAMI-DKFZ/simpa_paper_experiments | f5a37d57692b29b78b85d60a38e4dc0aaa5aadfc | [
"MIT"
] | null | null | null | # SPDX-FileCopyrightText: 2021 Computer Assisted Medical Interventions Group, DKFZ
# SPDX-FileCopyrightText: 2021 Janek Groehl
# SPDX-License-Identifier: MIT
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable
def col_bar(image, fontsize=None, fontname=None, ticks=None):
ax = ... | 35.423077 | 82 | 0.703583 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 270 | 0.29316 |
c39142fb863e925990bc60f0387ec99b2c445a57 | 2,365 | py | Python | PEARSON_CORRELATION/global.py | madgik/mip-algorithms | 58d931adccaba510432568a0cf8fa30a8f5443a0 | [
"MIT"
] | 2 | 2018-11-22T10:32:16.000Z | 2019-02-06T14:26:38.000Z | PEARSON_CORRELATION/global.py | madgik/mip-algorithms | 58d931adccaba510432568a0cf8fa30a8f5443a0 | [
"MIT"
] | null | null | null | PEARSON_CORRELATION/global.py | madgik/mip-algorithms | 58d931adccaba510432568a0cf8fa30a8f5443a0 | [
"MIT"
] | 4 | 2016-02-17T07:37:55.000Z | 2019-02-07T14:03:51.000Z | import sys
import math
import json
from os import path
sys.path.append(path.dirname(path.dirname(path.abspath(__file__))) + '/utils/')
import numpy as np
import scipy.special as special
from algorithm_utils import get_parameters, set_algorithms_output_data
from pearsonc_lib import PearsonCorrelationLocalD... | 34.779412 | 104 | 0.550951 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 397 | 0.167865 |
c3921dc91324fc061413450e3a3c0772670a6ac6 | 5,245 | py | Python | varats-core/varats/table/tables.py | J03D03/VaRA-Tool-Suite | f11a8b1b66e2adf37f591bb058073753e614e5ad | [
"BSD-2-Clause"
] | null | null | null | varats-core/varats/table/tables.py | J03D03/VaRA-Tool-Suite | f11a8b1b66e2adf37f591bb058073753e614e5ad | [
"BSD-2-Clause"
] | null | null | null | varats-core/varats/table/tables.py | J03D03/VaRA-Tool-Suite | f11a8b1b66e2adf37f591bb058073753e614e5ad | [
"BSD-2-Clause"
] | null | null | null | """General tables module."""
import logging
import re
import typing as tp
from pathlib import Path
from varats.mapping.commit_map import create_lazy_commit_map_loader
from varats.plot.plot_utils import check_required_args
from varats.utils.settings import vara_cfg
if tp.TYPE_CHECKING:
import varats.table.table as... | 30.317919 | 79 | 0.635844 | 1,716 | 0.327169 | 0 | 0 | 1,486 | 0.283317 | 0 | 0 | 1,807 | 0.344519 |
c392765fa8ab915930e11ed27d0e54982c3f4a1f | 16,436 | py | Python | sogs/model/user.py | Bilb/session-pysogs | eb6f13e26d16f0119e87b41ffb86813c3c177ab9 | [
"MIT"
] | 1 | 2022-03-08T06:34:34.000Z | 2022-03-08T06:34:34.000Z | sogs/model/user.py | Bilb/session-pysogs | eb6f13e26d16f0119e87b41ffb86813c3c177ab9 | [
"MIT"
] | null | null | null | sogs/model/user.py | Bilb/session-pysogs | eb6f13e26d16f0119e87b41ffb86813c3c177ab9 | [
"MIT"
] | null | null | null | from __future__ import annotations
from .. import crypto, db, config
from ..db import query
from ..web import app
from .exc import NoSuchUser, BadPermission
from typing import Optional
import time
class User:
"""
Class representing a user stored in the database.
Properties:
id - the database pr... | 36.123077 | 100 | 0.563945 | 15,647 | 0.951764 | 0 | 0 | 393 | 0.023905 | 0 | 0 | 8,202 | 0.498905 |
c392ee111fc105d1add3bfe72b6ea6451c22de9b | 71 | py | Python | scanapi/__init__.py | marcuxyz/scanapi | e42bcde18d4219fc603b0b9ee8f0b67d4085ec63 | [
"MIT"
] | 2 | 2020-08-26T01:54:19.000Z | 2021-07-23T14:06:34.000Z | scanapi/__init__.py | marcuxyz/scanapi | e42bcde18d4219fc603b0b9ee8f0b67d4085ec63 | [
"MIT"
] | null | null | null | scanapi/__init__.py | marcuxyz/scanapi | e42bcde18d4219fc603b0b9ee8f0b67d4085ec63 | [
"MIT"
] | null | null | null | name = "scanapi"
from scanapi.__main__ import main
__all__ = ["main"]
| 14.2 | 33 | 0.71831 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0.211268 |
c3968e4ef9d804ef0d6ab726de35f89bf44cf576 | 917 | py | Python | abstract/test1.py | Vayne-Lover/Python | 79cfe3d6971a7901d420ba5a7f52bf4c68f6a1c1 | [
"Apache-2.0"
] | 1 | 2016-07-14T06:16:58.000Z | 2016-07-14T06:16:58.000Z | abstract/test1.py | Vayne-Lover/Python | 79cfe3d6971a7901d420ba5a7f52bf4c68f6a1c1 | [
"Apache-2.0"
] | null | null | null | abstract/test1.py | Vayne-Lover/Python | 79cfe3d6971a7901d420ba5a7f52bf4c68f6a1c1 | [
"Apache-2.0"
] | null | null | null | #!/usr/local/bin/python
#fib=[0,1]
#for i in range(0,8):
# fib.append(fib[-2]+fib[-1])
#print fib
#def fibs(n):
# fib=[0,1]
# for i in range(n-2):
# fib.append(fib[-2]+fib[-1])
# return fib
#print fibs(5)
#def square(x):
# 'Calculate x*x.'
# return x*x
##print square._doc_
#help(square)
#def inc(x):
# x[0]=x[... | 14.555556 | 34 | 0.561614 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 692 | 0.754635 |
c399a1a6b7150f1ef7e588609accefc8ef3b5c69 | 2,197 | py | Python | Tuples.py | luiz-fischer/python | 03e85c3456bdee675a246a9d78dde17e351ce2f4 | [
"MIT"
] | 1 | 2021-07-20T19:01:17.000Z | 2021-07-20T19:01:17.000Z | Tuples.py | luiz-fischer/Python | 03e85c3456bdee675a246a9d78dde17e351ce2f4 | [
"MIT"
] | null | null | null | Tuples.py | luiz-fischer/Python | 03e85c3456bdee675a246a9d78dde17e351ce2f4 | [
"MIT"
] | null | null | null | #A tuple is a collection which is ordered and unchangeable. In Python tuples are written with #round brackets.
#tuple
thistuple = ["apple", "banana", "cherry"]
print(thistuple)
#Access Items
thistuple = ["apple", "banana", "cherry"]
print(thistuple[1])
#Negative Indexing
thistuple = ["apple", "banana", "cherry"]
pri... | 21.539216 | 110 | 0.665908 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 944 | 0.429677 |
c39b867276d04175f6c88ecc9593614affbf2fda | 12,208 | py | Python | legacy/modUtils.py | andreagalle/pigcasso | e9b60fb595ba6bd2c402a5b4b16665d4d41fa748 | [
"MIT"
] | null | null | null | legacy/modUtils.py | andreagalle/pigcasso | e9b60fb595ba6bd2c402a5b4b16665d4d41fa748 | [
"MIT"
] | 4 | 2020-06-13T09:17:15.000Z | 2020-06-17T16:26:03.000Z | legacy/modUtils.py | andreagalle/pigcasso | e9b60fb595ba6bd2c402a5b4b16665d4d41fa748 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
@author: a.grebert
"""
import draft as fct
import numpy as np
import string
import time
import os, sys, shutil
import matplotlib.pyplot as plt
from xml.dom.minidom import parse
import xml.dom.minidom
def time_stat(tstart):
minutes, seconds= divmod(time.time()-tstart, 60)
if minute... | 30.984772 | 114 | 0.593627 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,244 | 0.183814 |
c39c355b6d0a784ab7ced2706035abd7d88c4b92 | 871 | py | Python | avconv/avconv_stdout.py | suchkultur/sidomotest | 5fa813aeb77b856c90b96fbfe0b9a7eff669f304 | [
"MIT"
] | null | null | null | avconv/avconv_stdout.py | suchkultur/sidomotest | 5fa813aeb77b856c90b96fbfe0b9a7eff669f304 | [
"MIT"
] | null | null | null | avconv/avconv_stdout.py | suchkultur/sidomotest | 5fa813aeb77b856c90b96fbfe0b9a7eff669f304 | [
"MIT"
] | null | null | null | """A python FFMPEG module built from sdpm."""
from __future__ import unicode_literals
from sidomo import Container
def transcode_file(url):
"""Any format --> 20000 Hz mono wav audio."""
with Container(
'suchkultur/avconv',
memory_limit_gb=2,
stderr=False
) as c:
for line in... | 30.034483 | 111 | 0.590126 | 0 | 0 | 476 | 0.546498 | 0 | 0 | 0 | 0 | 500 | 0.574053 |
c39ee19e15e090d8880bdf7df0d8e984b7c43a6a | 3,401 | py | Python | optimizers/reg_params.py | Coricos/Challenger | b5f8ec49f72836779943109efa8eb88695bfd7d1 | [
"Apache-2.0"
] | 15 | 2019-09-06T15:49:12.000Z | 2021-12-15T08:10:25.000Z | optimizers/reg_params.py | Coricos/Challenger | b5f8ec49f72836779943109efa8eb88695bfd7d1 | [
"Apache-2.0"
] | null | null | null | optimizers/reg_params.py | Coricos/Challenger | b5f8ec49f72836779943109efa8eb88695bfd7d1 | [
"Apache-2.0"
] | 2 | 2020-01-05T03:40:09.000Z | 2021-12-15T08:10:29.000Z | # Author: DINDIN Meryll
# Date: 02/03/2019
# Project: optimizers
SPACE = dict()
SPACE['SGD'] = {
'loss': ('choice', ['squared_loss', 'huber', 'epsilon_insensitive', 'squared_epsilon_insensitive']),
'penalty': ('choice', ['none', 'l1', 'l2', 'elasticnet']),
'alpha': ('uniform_log', (1e-10, 1.0))... | 21.801282 | 104 | 0.541017 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,868 | 0.54925 |
c39f5915d95ec3b9e582fafe6c4ebb268f5f0a43 | 132 | py | Python | test/workflow_manager/test.py | lzjzx1122/FaaSFlow | c4a32a04797770c21fe6a0dcacd85ac27a3d29ec | [
"Apache-2.0"
] | 24 | 2021-12-02T01:00:54.000Z | 2022-03-27T00:50:28.000Z | test/workflow_manager/test.py | lzjzx1122/FaaSFlow | c4a32a04797770c21fe6a0dcacd85ac27a3d29ec | [
"Apache-2.0"
] | null | null | null | test/workflow_manager/test.py | lzjzx1122/FaaSFlow | c4a32a04797770c21fe6a0dcacd85ac27a3d29ec | [
"Apache-2.0"
] | 3 | 2021-12-02T01:00:47.000Z | 2022-03-04T07:33:09.000Z | import requests
url = 'http://localhost:7000/run'
data = {'workflow': 'wordcount', 'request_id': '1'}
requests.post(url, json=data) | 26.4 | 51 | 0.69697 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 63 | 0.477273 |
c39f85552fb76ed1c43748aba7b313d0e063acf8 | 243 | py | Python | BasicCache/BasicCacheModule.py | prodProject/WorkkerAndConsumerServer | 95496f026109279c9891e08af46040c7b9487c81 | [
"MIT"
] | null | null | null | BasicCache/BasicCacheModule.py | prodProject/WorkkerAndConsumerServer | 95496f026109279c9891e08af46040c7b9487c81 | [
"MIT"
] | null | null | null | BasicCache/BasicCacheModule.py | prodProject/WorkkerAndConsumerServer | 95496f026109279c9891e08af46040c7b9487c81 | [
"MIT"
] | null | null | null | from werkzeug.contrib.cache import SimpleCache
class BasicCache:
cache = SimpleCache()
def set(self, key, value):
self.cache.set(key, value, timeout=50 * 1000)
def get(self, key):
return self.cache.get(key=key)
| 20.25 | 53 | 0.658436 | 193 | 0.794239 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c39f85de6a95367753b881619c3146bcc06df83c | 95 | py | Python | cheapiesgr/apps.py | papachristoumarios/ntua-softeng | 678b878eea144176eb8623ce52efd1b0bdfa1e5a | [
"MIT"
] | 10 | 2019-03-12T12:44:11.000Z | 2021-11-10T14:28:00.000Z | cheapiesgr/apps.py | papachristoumarios/ntua-softeng | 678b878eea144176eb8623ce52efd1b0bdfa1e5a | [
"MIT"
] | null | null | null | cheapiesgr/apps.py | papachristoumarios/ntua-softeng | 678b878eea144176eb8623ce52efd1b0bdfa1e5a | [
"MIT"
] | 5 | 2019-05-24T08:37:11.000Z | 2021-03-14T14:58:36.000Z | from django.apps import AppConfig
class CheapiesgrConfig(AppConfig):
name = 'cheapiesgr'
| 15.833333 | 34 | 0.768421 | 58 | 0.610526 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0.126316 |
c39fc66cbbaf2d7063e82766c69335a2ff9ae3b8 | 14,626 | py | Python | src/resipy/compress_utils.py | sgreene8/resipy | 297533fd1a2f0443f4a7a062b36c8ab7df5e5e63 | [
"MIT"
] | 2 | 2019-05-06T02:55:40.000Z | 2019-05-22T09:53:19.000Z | src/resipy/compress_utils.py | sgreene8/resipy | 297533fd1a2f0443f4a7a062b36c8ab7df5e5e63 | [
"MIT"
] | null | null | null | src/resipy/compress_utils.py | sgreene8/resipy | 297533fd1a2f0443f4a7a062b36c8ab7df5e5e63 | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
"""
Utilities for performing stochastic matrix and vector compressions.
"""
import numpy
import misc_c_utils
import near_uniform
def fri_subd(vec, num_div, sub_weights, n_samp):
""" Perform FRI compression on a vector whose first elements,
vec[i] are each subdivided into equal segments... | 36.84131 | 104 | 0.673185 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7,412 | 0.506769 |
c3a1abb9b65cf75cfb9749d348aca024d63998e3 | 5,590 | py | Python | venv/lib/python3.8/site-packages/seaborn_qqplot/plots.py | johncollinsai/post-high-frequency-data | 88533b0e0afc7e7f82fee1d3ca4b68abc30aaeb4 | [
"MIT"
] | 6 | 2019-06-16T15:01:47.000Z | 2021-11-01T00:05:19.000Z | venv/lib/python3.8/site-packages/seaborn_qqplot/plots.py | johncollinsai/post-high-frequency-data | 88533b0e0afc7e7f82fee1d3ca4b68abc30aaeb4 | [
"MIT"
] | 11 | 2019-06-16T23:10:12.000Z | 2021-07-06T14:24:07.000Z | venv/lib/python3.8/site-packages/seaborn_qqplot/plots.py | johncollinsai/post-high-frequency-data | 88533b0e0afc7e7f82fee1d3ca4b68abc30aaeb4 | [
"MIT"
] | 2 | 2020-04-09T15:35:25.000Z | 2020-10-11T20:44:25.000Z | # BSD 3-Clause License
#
# Copyright (c) 2019, Rene Jean Corneille
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice, thi... | 33.473054 | 140 | 0.64025 | 3,695 | 0.661002 | 0 | 0 | 0 | 0 | 0 | 0 | 2,044 | 0.365653 |
c3a29f62d83a316fed3011a212b3a35c83e9c12c | 295 | py | Python | intermediate/mutations_nainys.py | garvitsharma05/hacktoberithms | 25aea28f362de22414569d67436a670bea5a3aeb | [
"MIT"
] | 16 | 2018-10-05T07:35:06.000Z | 2021-10-02T12:12:52.000Z | intermediate/mutations_nainys.py | garvitsharma05/hacktoberithms | 25aea28f362de22414569d67436a670bea5a3aeb | [
"MIT"
] | 50 | 2018-10-04T00:04:24.000Z | 2019-10-25T16:29:58.000Z | intermediate/mutations_nainys.py | garvitsharma05/hacktoberithms | 25aea28f362de22414569d67436a670bea5a3aeb | [
"MIT"
] | 115 | 2018-10-04T02:42:18.000Z | 2021-01-27T17:34:21.000Z | def mutations(input_list):
print input_list[0],input_list[1]
first = list(input_list[0].lower())
second = list(input_list[1].lower())
try:
for ele in second:
first.remove(ele)
except:
return False
return True
print mutations(["hello","heel"])
print mutations(["Alien","line"])
| 16.388889 | 37 | 0.691525 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0.088136 |
c3a46a64223b4d7935b2ce93b83a5ab0a1585a6c | 54 | py | Python | lang/py/cookbook/v2/source/cb2_6_0_exm_14.py | ch1huizong/learning | 632267634a9fd84a5f5116de09ff1e2681a6cc85 | [
"MIT"
] | null | null | null | lang/py/cookbook/v2/source/cb2_6_0_exm_14.py | ch1huizong/learning | 632267634a9fd84a5f5116de09ff1e2681a6cc85 | [
"MIT"
] | null | null | null | lang/py/cookbook/v2/source/cb2_6_0_exm_14.py | ch1huizong/learning | 632267634a9fd84a5f5116de09ff1e2681a6cc85 | [
"MIT"
] | null | null | null | Someclass = type('Someclass', (Somebase,), {'x': 23})
| 27 | 53 | 0.611111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0.259259 |
c3a4bac81af5bc3661970906bcc01a696388f5ca | 2,131 | py | Python | src/main/resources/google/cloud/compute/instance/compute_create_running.py | s-lal/xld-google-cloud-compute-plugin | 28389184a6df8bdee33893da6030499384a2b565 | [
"MIT"
] | null | null | null | src/main/resources/google/cloud/compute/instance/compute_create_running.py | s-lal/xld-google-cloud-compute-plugin | 28389184a6df8bdee33893da6030499384a2b565 | [
"MIT"
] | null | null | null | src/main/resources/google/cloud/compute/instance/compute_create_running.py | s-lal/xld-google-cloud-compute-plugin | 28389184a6df8bdee33893da6030499384a2b565 | [
"MIT"
] | null | null | null | #
# Copyright 2020 XEBIALABS
#
# 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, modify, merge, publish, distribute, subli... | 68.741935 | 462 | 0.779916 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,177 | 0.552323 |
c3a5ae7192b62bac66c1b709fe6b5e22475b2e41 | 1,599 | py | Python | backend/flask-api/src/servicos/movimento_servico.py | lucasbibianot/inova-cnj-time16 | e621d7027bd462d348e233ffd6ed88648c53704b | [
"Apache-2.0"
] | null | null | null | backend/flask-api/src/servicos/movimento_servico.py | lucasbibianot/inova-cnj-time16 | e621d7027bd462d348e233ffd6ed88648c53704b | [
"Apache-2.0"
] | null | null | null | backend/flask-api/src/servicos/movimento_servico.py | lucasbibianot/inova-cnj-time16 | e621d7027bd462d348e233ffd6ed88648c53704b | [
"Apache-2.0"
] | 2 | 2020-10-19T22:03:31.000Z | 2020-11-29T21:22:33.000Z | import re
from ..entidades.modelo_fluxo import Movimento
from ..persistencia.database import db
from sqlalchemy.orm import aliased, load_only, Load, exc
from flask_restful import abort
from flask import Response
import json
def incluir_movimento(parametros):
movimento = Movimento(**parametros)
movimento.id_mo... | 28.052632 | 122 | 0.703565 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 0.046904 |
c3a5e021cbcc85ebb4f94bf78689f3053c0f3211 | 243 | py | Python | PycharmProjects/pythonexercicios/aula014/ex064.py | zmixtv1/cev-Python | edce04f86d943d9af070bf3c5e89575ff796ec9e | [
"MIT"
] | null | null | null | PycharmProjects/pythonexercicios/aula014/ex064.py | zmixtv1/cev-Python | edce04f86d943d9af070bf3c5e89575ff796ec9e | [
"MIT"
] | null | null | null | PycharmProjects/pythonexercicios/aula014/ex064.py | zmixtv1/cev-Python | edce04f86d943d9af070bf3c5e89575ff796ec9e | [
"MIT"
] | null | null | null | n1 = int(input("digite um valor: [999 para parar] "))
cont = 0
soma = n1
while n1 != 999:
soma += n1
cont += 1
n1 = int(input("Digite um valor: "))
print("Você digitou {} numeros e a soma entre eles foi de {}!".format(cont, soma))
| 27 | 82 | 0.604938 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 112 | 0.459016 |
c3a6dfb6d53c3397fca6347f04d68006bd544731 | 2,468 | py | Python | figures/seal_delays.py | aditya-sengupta/sealrtc | cadc01d63bd07590b30decbe5fb57c79b3e68503 | [
"CC0-1.0"
] | null | null | null | figures/seal_delays.py | aditya-sengupta/sealrtc | cadc01d63bd07590b30decbe5fb57c79b3e68503 | [
"CC0-1.0"
] | null | null | null | figures/seal_delays.py | aditya-sengupta/sealrtc | cadc01d63bd07590b30decbe5fb57c79b3e68503 | [
"CC0-1.0"
] | null | null | null | import numpy as np
from matplotlib import pyplot as plt
import sys
import re
from os.path import join
fs = 100
def stamp_to_seconds(t):
h, m, s, ms = [int(x) for x in re.search("(\d+):(\d+):(\d+),(\d+)", t).groups()]
return 3600 * h + 60 * m + s + 0.001 * ms
good_runs = ["07_02_14", "07_04_45", "08_11_19", "... | 35.768116 | 90 | 0.608185 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 490 | 0.198541 |
c3a78423413c586b43d5c6f2ba43237b6c4989d3 | 514 | py | Python | Competive Programming/CodeVitaV7/MockVita/problem_d.py | RitamDey/My-Simple-Programs | 147b455a6a40c371ec894ce979e8a61d242e03bd | [
"Unlicense"
] | 2 | 2016-10-14T16:58:05.000Z | 2017-05-04T04:59:18.000Z | Competive Programming/CodeVitaV7/MockVita/problem_d.py | GreenJoey/My-Simple-Programs | 147b455a6a40c371ec894ce979e8a61d242e03bd | [
"Unlicense"
] | null | null | null | Competive Programming/CodeVitaV7/MockVita/problem_d.py | GreenJoey/My-Simple-Programs | 147b455a6a40c371ec894ce979e8a61d242e03bd | [
"Unlicense"
] | null | null | null | def mul(arr):
res = arr[0]
for i in arr[1:]:
res *= i
return res
def gen_subarray(arr, n):
for i in range(1 << n):
y = 1
for j in range(n):
if i & (1 << j):
y *= arr[j]
yield y
def main():
n, p1, p2 = map(int, input().split(","))
... | 15.117647 | 44 | 0.424125 | 0 | 0 | 167 | 0.324903 | 0 | 0 | 0 | 0 | 6 | 0.011673 |
c3ab8d6929c69624d061fbf0aa9d0caa473c282b | 9,205 | py | Python | prototypes/python_prototype/empiricalEstimation.py | Elbercaio/adaptive-engine | c51661ad64d95c7ed36508c90787521261038525 | [
"Apache-2.0"
] | null | null | null | prototypes/python_prototype/empiricalEstimation.py | Elbercaio/adaptive-engine | c51661ad64d95c7ed36508c90787521261038525 | [
"Apache-2.0"
] | null | null | null | prototypes/python_prototype/empiricalEstimation.py | Elbercaio/adaptive-engine | c51661ad64d95c7ed36508c90787521261038525 | [
"Apache-2.0"
] | null | null | null | ##Author: Ilia Rushkin, VPAL Research, Harvard University, Cambridge, MA, USA
######################################
####Estimation functions are below####
######################################
import numpy as np
def knowledge(self, problems, correctness):
"""
##This function finds the empirical knowledge ... | 33.841912 | 216 | 0.5283 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,975 | 0.323194 |
c3abc0a68a85157f3c2c372d3a89b0bb5b081f02 | 352 | py | Python | main.py | DHRUV-CODER/Fortnite-Bot | 65217baf85169797732ec046c7a5940f46ef9cc7 | [
"MIT"
] | 1 | 2021-03-07T10:17:09.000Z | 2021-03-07T10:17:09.000Z | main.py | DHRUV-CODER/Fortnite-Bot | 65217baf85169797732ec046c7a5940f46ef9cc7 | [
"MIT"
] | 2 | 2021-02-05T13:42:45.000Z | 2021-02-05T13:43:25.000Z | main.py | DHRUV-CODER/Fortnite-Bot | 65217baf85169797732ec046c7a5940f46ef9cc7 | [
"MIT"
] | null | null | null | import os
import environ
import keep_alive
from discord.ext import commands
token = os.environ.get("TOKEN")
bot = commands.Bot(command_prefix="")
for filename in os.listdir("./cogs"):
if filename.endswith(".py") and filename != "__init__.py":
bot.load_extension(f'cogs.{filename[:-3]}')
keep_alive.ke... | 19.555556 | 62 | 0.693182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58 | 0.164773 |
c3ad330362e01dc7f15821884e5a6bbe50194e31 | 953 | py | Python | scrap2rst/cmd.py | shimizukawa/scrap2rst | d6cab254d03f8e161f210e793083d8b26b44abd7 | [
"MIT"
] | 5 | 2019-06-29T03:17:09.000Z | 2021-06-19T20:41:04.000Z | scrap2rst/cmd.py | shimizukawa/scrap2rst | d6cab254d03f8e161f210e793083d8b26b44abd7 | [
"MIT"
] | 24 | 2019-08-14T23:07:43.000Z | 2019-09-30T04:59:42.000Z | scrap2rst/cmd.py | shimizukawa/scrap2rst | d6cab254d03f8e161f210e793083d8b26b44abd7 | [
"MIT"
] | null | null | null | """
command-line interface for scrap2rst
"""
import sys
import logging
import argparse
from scrap2rst import __version__
from scrap2rst.logging import setup_logger
from scrap2rst.converter import convert
logger = logging.getLogger(__name__)
def get_argparser():
p = argparse.ArgumentParser()
p.add_argument('... | 24.435897 | 90 | 0.673662 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 193 | 0.202518 |
c3af3f55df4b117b6e91dedf512a6d86c7573fca | 8,605 | py | Python | pricing/__init__.py | troylar/aws-pricing-importer | 6fabbea533e07e1fad1f3840a28e2a0fb435c888 | [
"MIT"
] | 3 | 2019-04-10T13:46:51.000Z | 2019-04-16T14:32:55.000Z | pricing/__init__.py | troylar/aws-pricing-to-athena | 6fabbea533e07e1fad1f3840a28e2a0fb435c888 | [
"MIT"
] | 1 | 2021-06-01T23:23:24.000Z | 2021-06-01T23:23:24.000Z | pricing/__init__.py | troylar/aws-pricing-importer | 6fabbea533e07e1fad1f3840a28e2a0fb435c888 | [
"MIT"
] | null | null | null | import json
import os
import os.path
import requests
import csv
import tempfile
from io import StringIO
import boto3
import time
import urllib3
create_table = """
CREATE EXTERNAL TABLE `[OFFER]`(
[COLUMNS]
[PARTITION]
ROW FORMAT SERDE
'org.apache.hadoop.hive.serde2.OpenCSVSerde'
STORED AS INPUTFORMAT
'org.apache... | 40.399061 | 117 | 0.525276 | 7,948 | 0.923649 | 0 | 0 | 0 | 0 | 0 | 0 | 1,680 | 0.195235 |
c3b008c8303bfbb30f36a958105a103791dbc6b7 | 1,920 | py | Python | ensembling.py | Masdevallia/3rd-place-Kaggle-SIIM-ISIC-Melanoma-Classification | 69c9481c4f00961c52c1e4d580666b286deba6cf | [
"MIT"
] | 14 | 2020-09-08T08:10:56.000Z | 2022-03-16T05:47:46.000Z | ensembling.py | Masdevallia/3rd-place-Kaggle-SIIM-ISIC-Melanoma-Classification | 69c9481c4f00961c52c1e4d580666b286deba6cf | [
"MIT"
] | null | null | null | ensembling.py | Masdevallia/3rd-place-Kaggle-SIIM-ISIC-Melanoma-Classification | 69c9481c4f00961c52c1e4d580666b286deba6cf | [
"MIT"
] | 8 | 2020-09-09T14:12:50.000Z | 2021-09-11T16:27:39.000Z |
import sys
import argparse
import pandas as pd
import numpy as np
import os
def get_settings():
parser = argparse.ArgumentParser(description='Script to ensemble submissions.')
parser.add_argument('--include_external', help='whether to include external data (1) or not (0).',
default=0, type = int)
... | 35.555556 | 113 | 0.70625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 607 | 0.316146 |
c3b124b23b6ac439915246f3ba91242c0ab87d5c | 1,927 | py | Python | PythonStuff/hi.py | FlightDev/YSPA | 5226712ebf305e7a3c686c43c996517a617f748b | [
"MIT"
] | null | null | null | PythonStuff/hi.py | FlightDev/YSPA | 5226712ebf305e7a3c686c43c996517a617f748b | [
"MIT"
] | null | null | null | PythonStuff/hi.py | FlightDev/YSPA | 5226712ebf305e7a3c686c43c996517a617f748b | [
"MIT"
] | null | null | null | JDs = []
RAs = []
Decs = []
file = open("data.txt", 'r')
data = []
for line in file:
datum = line.split("\t")
JDs.append(float(datum[0]))
RAs.append(float(datum[1]))
Decs.append(float(datum[2][:-1]))
"""
import matplotlib.pyplot as plt
JDs = [2458281.856678, 2458281.857743, 2458281.85880... | 52.081081 | 311 | 0.708874 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,716 | 0.890503 |
c3b1a662429cdada1fb29fdf45e27e026c0bbcf8 | 7,337 | py | Python | src/dataStructures/elmtree_jtray.py | tschalch/pyTray | ab26c7d4618c16f1ef6df45f7c8bae81f08f855b | [
"BSD-3-Clause"
] | 1 | 2018-06-15T09:42:22.000Z | 2018-06-15T09:42:22.000Z | src/dataStructures/elmtree_jtray.py | tschalch/pyTray | ab26c7d4618c16f1ef6df45f7c8bae81f08f855b | [
"BSD-3-Clause"
] | null | null | null | src/dataStructures/elmtree_jtray.py | tschalch/pyTray | ab26c7d4618c16f1ef6df45f7c8bae81f08f855b | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python2.4
"""
tray_data provides the data for the tray GUI.
It handles the XML data and provides the neccessary interfaces.
"""
import tray_data
import logging
from util.trayErrors import PropertyNotFoundError
log = logging.getLogger("xml_jtray")
log.setLevel(logging.WARN)
class J... | 42.166667 | 108 | 0.592885 | 6,690 | 0.911817 | 0 | 0 | 0 | 0 | 0 | 0 | 2,124 | 0.289492 |
c3b239f366d0aa2e3fa43d5373d1a03a579fb69c | 1,104 | py | Python | tests/test_iter_ij_in_block.py | kalekundert/wellmap | 05a9029807276ec29aea63db10c664ad2ede093c | [
"MIT"
] | 7 | 2020-05-29T21:14:49.000Z | 2022-01-25T15:35:17.000Z | tests/test_iter_ij_in_block.py | kalekundert/wellmap | 05a9029807276ec29aea63db10c664ad2ede093c | [
"MIT"
] | 24 | 2020-06-09T14:29:03.000Z | 2022-03-25T22:43:24.000Z | tests/test_iter_ij_in_block.py | kalekundert/wellmap | 05a9029807276ec29aea63db10c664ad2ede093c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import pytest
from wellmap import *
@pytest.mark.parametrize(
'args, expected', [
(((0,0), 0, 0), []),
(((0,0), 0, 1), []),
(((0,0), 1, 0), []),
(((0,0), 1, 1), [(0,0)]),
(((0,0), 2, 1), [(0,0), (0,1)]),
(((0,0), 1,... | 30.666667 | 58 | 0.272645 | 0 | 0 | 0 | 0 | 1,042 | 0.943841 | 0 | 0 | 38 | 0.03442 |
c3b3565e61fd4a1d8b267a41d981a92c6d73f542 | 318 | py | Python | lectures/slides_tex/example_sklearn.py | materialsvirtuallab/nano281 | d527c5049aab3da99237cbff0cc749640b2c9c06 | [
"BSD-3-Clause"
] | 38 | 2019-12-23T13:14:53.000Z | 2022-01-25T23:59:33.000Z | lectures/slides_tex/example_sklearn.py | materialsvirtuallab/nano281 | d527c5049aab3da99237cbff0cc749640b2c9c06 | [
"BSD-3-Clause"
] | null | null | null | lectures/slides_tex/example_sklearn.py | materialsvirtuallab/nano281 | d527c5049aab3da99237cbff0cc749640b2c9c06 | [
"BSD-3-Clause"
] | 18 | 2020-02-10T20:43:39.000Z | 2022-01-21T13:45:36.000Z | model = Model(**params) # Init a model with parameters.
model.get_params() # Get model parameters.
model.set_params(**params) # Set model parameters
model.fit(X, y) # Fit the model with a dataset
model.score(X, y) # Provides the score for the dataset.
model.predict(X) # Make a prediction using fitted model. | 53 | 59 | 0.72327 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 186 | 0.584906 |
c3b44be37f288d5b48b6f0177fd4a4019cc7b623 | 215 | py | Python | py-server/src/enum/index.py | Jonnytoshen/wind-layer | 514e9b9c76b6d72faac21543fd5fb1c43e6bd9b5 | [
"BSD-3-Clause"
] | 285 | 2017-12-16T13:29:27.000Z | 2022-03-28T02:59:08.000Z | py-server/src/enum/index.py | Jonnytoshen/wind-layer | 514e9b9c76b6d72faac21543fd5fb1c43e6bd9b5 | [
"BSD-3-Clause"
] | 104 | 2018-01-01T01:40:13.000Z | 2022-03-26T18:20:45.000Z | py-server/src/enum/index.py | Jonnytoshen/wind-layer | 514e9b9c76b6d72faac21543fd5fb1c43e6bd9b5 | [
"BSD-3-Clause"
] | 97 | 2017-12-18T08:05:21.000Z | 2022-03-28T15:49:38.000Z | from enum import Enum
class noaa_site_label(Enum):
DIRECTORY = 'directory:'
FILE_LIST = '\n**NEW** Select one file only '
SURFACES = 'select the levels desired:'
VARIABLES = 'select the variables desired:'
| 26.875 | 47 | 0.716279 | 191 | 0.888372 | 0 | 0 | 0 | 0 | 0 | 0 | 104 | 0.483721 |
c3b57eaa438b0e0ff2f40a515ff88ec6d01bf26c | 5,202 | py | Python | roots/format.py | TomRegan/roots_legacy | cf145d80b526b7142f869eb5d869a27c3d7bb1eb | [
"Apache-2.0"
] | null | null | null | roots/format.py | TomRegan/roots_legacy | cf145d80b526b7142f869eb5d869a27c3d7bb1eb | [
"Apache-2.0"
] | null | null | null | roots/format.py | TomRegan/roots_legacy | cf145d80b526b7142f869eb5d869a27c3d7bb1eb | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2015 Tom Regan
#
# 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... | 36.377622 | 79 | 0.572472 | 4,362 | 0.838524 | 0 | 0 | 0 | 0 | 0 | 0 | 1,616 | 0.31065 |
c3b58ba311536941e44b47fb58812f09838e1ac8 | 11,567 | py | Python | frost/client.py | Sigvesor/frost-client | 3c0cf2af27d1ab471ce06331b7b0e6cc87f421e6 | [
"MIT"
] | 7 | 2019-02-17T05:00:33.000Z | 2020-11-10T13:13:26.000Z | frost/client.py | Sigvesor/frost-client | 3c0cf2af27d1ab471ce06331b7b0e6cc87f421e6 | [
"MIT"
] | 2 | 2020-03-24T18:23:18.000Z | 2020-03-31T10:22:02.000Z | frost/client.py | Sigvesor/frost-client | 3c0cf2af27d1ab471ce06331b7b0e6cc87f421e6 | [
"MIT"
] | 1 | 2020-04-03T23:53:30.000Z | 2020-04-03T23:53:30.000Z | import os
from urllib.parse import urljoin
import requests
from requests.auth import HTTPBasicAuth
from .models import SourcesResponse
from .models import AvailableTimeSeriesResponse
from .models import ObservationsResponse
FROST_API_KEY = os.environ.get('FROST_API_KEY', None)
class APIError(Exception):
""" Rais... | 42.369963 | 79 | 0.61736 | 11,282 | 0.975361 | 0 | 0 | 0 | 0 | 0 | 0 | 8,935 | 0.772456 |
c3b5c82cda0e55aa0b6ba4cf5db98b3355aacc13 | 3,411 | py | Python | llvd/downloader.py | rahil-sh/llvd | e0e55db66b0a7a828f6040cbac8679c304e1c5db | [
"MIT"
] | 4 | 2022-01-03T08:19:08.000Z | 2022-02-04T16:51:39.000Z | llvd/downloader.py | rahil-sh/llvd | e0e55db66b0a7a828f6040cbac8679c304e1c5db | [
"MIT"
] | null | null | null | llvd/downloader.py | rahil-sh/llvd | e0e55db66b0a7a828f6040cbac8679c304e1c5db | [
"MIT"
] | 1 | 2022-01-03T08:19:09.000Z | 2022-01-03T08:19:09.000Z |
from tqdm import tqdm
from itertools import starmap
import requests
import time
import click
import re
import os
from llvd.utils import clean_name, subtitles_time_format, throttle
def download_video(url, index, filename, path, delay=None):
"""
Downloads a video and saves it by its name plus index for eas... | 35.164948 | 101 | 0.562005 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 744 | 0.218118 |
c3b8c7827cbab7f0180e68f8f0d4f4b5ef34c2d4 | 1,902 | py | Python | addNextMonth.py | David12312341/Carmelorto | d2a7fe6522940db1d4ee186c5ff335c03e3622da | [
"MIT"
] | null | null | null | addNextMonth.py | David12312341/Carmelorto | d2a7fe6522940db1d4ee186c5ff335c03e3622da | [
"MIT"
] | null | null | null | addNextMonth.py | David12312341/Carmelorto | d2a7fe6522940db1d4ee186c5ff335c03e3622da | [
"MIT"
] | null | null | null | import psycopg2
import calendar
import sys
import os
# TODO: add ability to either add entire year or specific month from command line
# TODO: Implement argparse to add functionality to CLI
def addYear(cur,year):
# Add the months of the specified year into the Database
monthList = []
monthNameList = cale... | 30.677419 | 155 | 0.609359 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 894 | 0.470032 |
c3b8ce5fd606e50e10f8ca74fe1352d18e7c8eec | 3,938 | py | Python | drivers/plot_Porb_Prot.py | lgbouma/earhart | 1d2b65d58655725f43c1bf9705b897bf767d4ca1 | [
"MIT"
] | null | null | null | drivers/plot_Porb_Prot.py | lgbouma/earhart | 1d2b65d58655725f43c1bf9705b897bf767d4ca1 | [
"MIT"
] | null | null | null | drivers/plot_Porb_Prot.py | lgbouma/earhart | 1d2b65d58655725f43c1bf9705b897bf767d4ca1 | [
"MIT"
] | null | null | null | """
The stellar spin periods and planetary orbital periods originally collected by
Penev et al (2018) are shown in Figure~\ref{fig:Pspin_vs_Porb}. We only show
hot Jupiter systems with spin period S/N ratios of at least 5, and have colored
the hot Jupiters by whether their stellar radius is below or above
$1.2R_\odot$.... | 30.061069 | 80 | 0.588624 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,813 | 0.460386 |
c3b8e9007add6621a63ae003963d1b0398741980 | 4,918 | py | Python | conjugate_gradient_method.py | Kedow132/extremum_search_methods | 16f83a3979a9f1b3f738627f466f97ec72b2031d | [
"BSD-3-Clause"
] | null | null | null | conjugate_gradient_method.py | Kedow132/extremum_search_methods | 16f83a3979a9f1b3f738627f466f97ec72b2031d | [
"BSD-3-Clause"
] | null | null | null | conjugate_gradient_method.py | Kedow132/extremum_search_methods | 16f83a3979a9f1b3f738627f466f97ec72b2031d | [
"BSD-3-Clause"
] | null | null | null | from math import sqrt
import matplotlib.pyplot as plt
import numpy as np
from prettytable import PrettyTable
headers = PrettyTable(
['№', 'x1_1', 'x2_1', 'x1_2', 'x2_2', 'function(x1,x2)', 'df'])
def table(count, old_function, x1_1, x2_1, x1_2, x2_2, new_function):
Tablelist = {
'№': count,
... | 30.930818 | 79 | 0.547377 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 355 | 0.071761 |
c3b9c03b0b6999a6a3e2dacc735a7de64457c8b0 | 784 | py | Python | tcga_encoder/analyses/old/dna_functions.py | tedmeeds/tcga_encoder | 805f9a5bcc422a43faea45baa0996c88d346e3b4 | [
"MIT"
] | 2 | 2017-12-19T15:32:46.000Z | 2018-01-12T11:24:24.000Z | tcga_encoder/analyses/old/dna_functions.py | tedmeeds/tcga_encoder | 805f9a5bcc422a43faea45baa0996c88d346e3b4 | [
"MIT"
] | null | null | null | tcga_encoder/analyses/old/dna_functions.py | tedmeeds/tcga_encoder | 805f9a5bcc422a43faea45baa0996c88d346e3b4 | [
"MIT"
] | null | null | null | from tcga_encoder.utils.helpers import *
from scipy import stats
def auc_standard_error( theta, nA, nN ):
# from: Hanley and McNeil (1982), The Meaning and Use of the Area under the ROC Curve
# theta: estimated AUC, can be 0.5 for a random test
# nA size of population A
# nN size of population N
Q1=theta/... | 28 | 94 | 0.670918 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 187 | 0.23852 |