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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6b8b3dd970c2381dc6fab482c6f4e706bdbe8c46 | 25 | py | Python | core_dev/datetime_/__init__.py | alexzanderr/_core-dev | 831f69dad524e450c4243b1dd88f26de80e1d444 | [
"MIT"
] | null | null | null | core_dev/datetime_/__init__.py | alexzanderr/_core-dev | 831f69dad524e450c4243b1dd88f26de80e1d444 | [
"MIT"
] | null | null | null | core_dev/datetime_/__init__.py | alexzanderr/_core-dev | 831f69dad524e450c4243b1dd88f26de80e1d444 | [
"MIT"
] | null | null | null |
from .datetime_ import * | 12.5 | 24 | 0.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6b8ba5e38a11991c07975fe01f68ff669ab459c0 | 811 | py | Python | badx12/common/click.py | agaddis02/badX12 | 7362a4d9629e570be8cd3b42af5210cda39e0efc | [
"MIT"
] | null | null | null | badx12/common/click.py | agaddis02/badX12 | 7362a4d9629e570be8cd3b42af5210cda39e0efc | [
"MIT"
] | null | null | null | badx12/common/click.py | agaddis02/badX12 | 7362a4d9629e570be8cd3b42af5210cda39e0efc | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from collections import Iterable
import click
def add_commands(click_group, commands):
if not isinstance(click_group, click.core.Group):
raise TypeError(
f"add_commands() expects click.core.Group for click_group, got {type(click_group)}"
)
if not isinstanc... | 30.037037 | 103 | 0.633785 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 270 | 0.332922 |
6b8bb153d1b8da0157b44ec53267ac54fdb21350 | 1,706 | py | Python | snakebids/admin.py | LouFel/snakebids | 6fdf64fb65471868b9cc9d55fd77654096c07686 | [
"MIT"
] | null | null | null | snakebids/admin.py | LouFel/snakebids | 6fdf64fb65471868b9cc9d55fd77654096c07686 | [
"MIT"
] | 2 | 2022-02-11T22:08:36.000Z | 2022-02-11T22:08:47.000Z | snakebids/admin.py | kaitj/snakebids | f205ab279223e9f5bb87ba170fe29d8324bc7484 | [
"MIT"
] | null | null | null | """Script to generate a Snakebids project."""
import argparse
import os
from pathlib import Path
from cookiecutter.main import cookiecutter
import snakebids
from snakebids.app import SnakeBidsApp
from snakebids.cli import add_dynamic_args
def create_app(_):
cookiecutter(os.path.join(snakebids.__path__[0], "pro... | 28.433333 | 88 | 0.715709 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 558 | 0.327081 |
6b8c93d8422ed7233811fd0f7290cad989fa723c | 4,500 | py | Python | estimateHR_unittest.py | RingoYen85/HeartRateMonitor | 8bbecfd0969c1a91b8a5c3117869ac248c31cf17 | [
"MIT"
] | null | null | null | estimateHR_unittest.py | RingoYen85/HeartRateMonitor | 8bbecfd0969c1a91b8a5c3117869ac248c31cf17 | [
"MIT"
] | null | null | null | estimateHR_unittest.py | RingoYen85/HeartRateMonitor | 8bbecfd0969c1a91b8a5c3117869ac248c31cf17 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Fri Sep 23 21:54:45 2016
@author: ringoyen
"""
import numpy as np
import unittest
class tester(unittest.TestCase):
def test_low_pass_filter(self):
"""
Unit Test for a moving averager (convolution) to serve as a low pass filter to remove noise
:retur... | 31.690141 | 112 | 0.607556 | 4,325 | 0.961111 | 0 | 0 | 0 | 0 | 0 | 0 | 1,466 | 0.325778 |
6b8d70280f0cb0d3625c06ba1c69384706890a4a | 2,602 | py | Python | sequence/fastx_translate.py | shenwei356/bio_scripts | 703cec8d21903516346e2aae4d77d23385c30905 | [
"MIT"
] | 94 | 2015-03-26T04:32:29.000Z | 2022-03-22T13:44:11.000Z | sequence/fastx_translate.py | xinwang-bio/bio_scripts | 64fda3a72ba14edf87952a809c3d52871f155cca | [
"MIT"
] | null | null | null | sequence/fastx_translate.py | xinwang-bio/bio_scripts | 64fda3a72ba14edf87952a809c3d52871f155cca | [
"MIT"
] | 70 | 2015-04-01T10:27:05.000Z | 2021-11-08T01:46:39.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# https://github.com/shenwei356/bio_scripts
from __future__ import print_function
import argparse
import gzip
import logging
import os
import re
import sys
from Bio import SeqIO
from Bio.Seq import Seq
from Bio.SeqRecord import SeqRecord
def parse_args():
parser = a... | 35.162162 | 130 | 0.601076 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 815 | 0.313221 |
6b8db4952ad5c55aa4611431b1886cf54a31f84a | 682 | py | Python | Assignment 3. Paxos/Simulation/Network/Network.py | WailAbou/Distributed-Processing | 46a36f1fd51d6f8b35cc639eb8002d81d7e09f2b | [
"MIT"
] | null | null | null | Assignment 3. Paxos/Simulation/Network/Network.py | WailAbou/Distributed-Processing | 46a36f1fd51d6f8b35cc639eb8002d81d7e09f2b | [
"MIT"
] | null | null | null | Assignment 3. Paxos/Simulation/Network/Network.py | WailAbou/Distributed-Processing | 46a36f1fd51d6f8b35cc639eb8002d81d7e09f2b | [
"MIT"
] | null | null | null | from Simulation.Network.Actions import send_message
class Network:
def __init__(self, proposers, acceptors):
self.queue = []
self.proposers = proposers
self.acceptors = acceptors
def queue_message(self, message):
self.queue.append(message)
def extract_message(self):
... | 27.28 | 77 | 0.651026 | 627 | 0.919355 | 0 | 0 | 0 | 0 | 0 | 0 | 56 | 0.082111 |
6b8defc3a09a8d03e2adb7a13517e975cbd888f3 | 697 | py | Python | test/test_db_matches_ui.py | ProOksana/python_training | 2174f08ebd52905bf28e7b32baf1b1401a05f79e | [
"Apache-2.0"
] | null | null | null | test/test_db_matches_ui.py | ProOksana/python_training | 2174f08ebd52905bf28e7b32baf1b1401a05f79e | [
"Apache-2.0"
] | null | null | null | test/test_db_matches_ui.py | ProOksana/python_training | 2174f08ebd52905bf28e7b32baf1b1401a05f79e | [
"Apache-2.0"
] | null | null | null | from model.contact import Contacts
def test_contacts_list(app, db):
ui_list = app.contact.get_contacts_list()
def clean(contact):
return (Contacts(id=id, firstname=contact.firstname, middlename=contact.middlename, lastname=contact.lastname, nickname=contact.nickname,
company=... | 58.083333 | 186 | 0.734577 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6b904ccd419a7dbc39df362dd10c4cbe6f6a6b80 | 859 | py | Python | DjangoBlog/account/models.py | marasiali/Django-bog | faac81275d27b501dda0be32c82200c80941b7de | [
"MIT"
] | null | null | null | DjangoBlog/account/models.py | marasiali/Django-bog | faac81275d27b501dda0be32c82200c80941b7de | [
"MIT"
] | null | null | null | DjangoBlog/account/models.py | marasiali/Django-bog | faac81275d27b501dda0be32c82200c80941b7de | [
"MIT"
] | null | null | null | from django.db import models
from django.utils import timezone
from django.contrib.auth.models import AbstractUser
class User(AbstractUser):
is_author = models.BooleanField(default=False, verbose_name='نویسنده', help_text='نشان میدهد که آیا این کاربر میتواند مطلب ارسال کند یا خیر.')
premium_date = models.Date... | 35.791667 | 146 | 0.735739 | 856 | 0.879753 | 0 | 0 | 0 | 0 | 0 | 0 | 261 | 0.268243 |
6b90cf31e44e1e7e27466082bc57a29d138e03cf | 7,345 | py | Python | pyfilter/test/test_filter.py | zkscpqm/pyfilter | 39c284681ec6f377059907b75346028d99cbdd4c | [
"MIT"
] | null | null | null | pyfilter/test/test_filter.py | zkscpqm/pyfilter | 39c284681ec6f377059907b75346028d99cbdd4c | [
"MIT"
] | 1 | 2021-04-28T18:40:13.000Z | 2021-04-28T18:40:13.000Z | pyfilter/test/test_filter.py | zkscpqm/pyfilter | 39c284681ec6f377059907b75346028d99cbdd4c | [
"MIT"
] | null | null | null | import unittest
import os
from typing import Any, Text, NoReturn, Set, Union
from parameterized import parameterized
from pyfilter import FilterContext
from pyfilter import TextFilter
class TestFilter(unittest.TestCase):
def setUp(self) -> Any:
self.any_inclusion_keywords: Set[Text] = {'dog', 'cat'}
... | 53.224638 | 116 | 0.644384 | 7,155 | 0.974132 | 0 | 0 | 2,987 | 0.406671 | 0 | 0 | 1,484 | 0.202042 |
6b90ec08ade0528601d7d5711be814ac665fc15d | 1,694 | py | Python | song_bond.py | skullydazed/PyRoombaAdapter | 88824e91b0f0cec008b16cfaa5a62a6546f1226e | [
"MIT"
] | null | null | null | song_bond.py | skullydazed/PyRoombaAdapter | 88824e91b0f0cec008b16cfaa5a62a6546f1226e | [
"MIT"
] | null | null | null | song_bond.py | skullydazed/PyRoombaAdapter | 88824e91b0f0cec008b16cfaa5a62a6546f1226e | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""James Bond Theme, Composed by Monty Norman
Adapted for Roomba by Zach White
"""
from time import sleep
from pyroombaadapter import PyRoombaAdapter
notes0 = (
# note, duration
'B3', '1/2',
'C4', '1/2',
'C#4', '1/2',
'C4', '1/2',
'B3', '1/2',
'C4', '1/2',
'C#4',... | 18.822222 | 57 | 0.485832 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 714 | 0.421488 |
6b91473adaa0d54ec3df16837118bb8c64722382 | 227 | py | Python | users/views.py | digitaloxford/do-wagtail | 49dd75b95109ebb38bf66aca13d3fdeb8e25d319 | [
"MIT"
] | 2 | 2021-04-11T11:59:51.000Z | 2021-04-12T06:56:23.000Z | users/views.py | digitaloxford/do-wagtail | 49dd75b95109ebb38bf66aca13d3fdeb8e25d319 | [
"MIT"
] | 8 | 2021-04-10T10:40:27.000Z | 2022-01-25T16:32:22.000Z | users/views.py | digitaloxford/do-wagtail | 49dd75b95109ebb38bf66aca13d3fdeb8e25d319 | [
"MIT"
] | null | null | null | from django.contrib.auth.decorators import login_required
from django.shortcuts import render
from django.views import generic
from . import models
def profile_view(request):
return render(request, "users/profile.html")
| 22.7 | 57 | 0.806167 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0.088106 |
6b934399f266b4f9c4b7a0180b20fcdaa634e13b | 4,263 | py | Python | tests/conftest.py | Dimfred/imxpy | 289a67fa51ef7b33ee106a65ad69340d07c986b3 | [
"MIT"
] | 13 | 2021-12-11T11:52:32.000Z | 2022-03-11T12:58:56.000Z | tests/conftest.py | Dimfred/imxpy | 289a67fa51ef7b33ee106a65ad69340d07c986b3 | [
"MIT"
] | 1 | 2021-12-19T19:15:29.000Z | 2021-12-26T14:09:16.000Z | tests/conftest.py | Dimfred/imxpy | 289a67fa51ef7b33ee106a65ad69340d07c986b3 | [
"MIT"
] | 1 | 2022-01-10T15:01:04.000Z | 2022-01-10T15:01:04.000Z | from pathlib import Path
import sys
import time
# add parent dir of imxpy
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
from easydict import EasyDict as edict
import pytest
from imx_client import IMXClient
from imx_objects import *
def random_number():
import random
return random.randint(0... | 21.861538 | 84 | 0.697162 | 0 | 0 | 277 | 0.064978 | 3,439 | 0.806709 | 0 | 0 | 1,052 | 0.246775 |
6b93b639b40dce2081a3f1509a8777312189b2f5 | 73 | py | Python | airbyte-integrations/connectors/source-twilio-singer/source_twilio_singer/__init__.py | rajatariya21/airbyte | 11e70a7a96e2682b479afbe6f709b9a5fe9c4a8d | [
"MIT"
] | 2 | 2021-03-02T09:17:41.000Z | 2021-03-02T11:02:23.000Z | airbyte-integrations/connectors/source-twilio-singer/source_twilio_singer/__init__.py | rajatariya21/airbyte | 11e70a7a96e2682b479afbe6f709b9a5fe9c4a8d | [
"MIT"
] | 4 | 2021-09-01T00:33:50.000Z | 2022-02-27T16:13:46.000Z | airbyte-integrations/connectors/source-twilio-singer/source_twilio_singer/__init__.py | rajatariya21/airbyte | 11e70a7a96e2682b479afbe6f709b9a5fe9c4a8d | [
"MIT"
] | 1 | 2021-07-02T15:08:53.000Z | 2021-07-02T15:08:53.000Z | from .source import SourceTwilioSinger
__all__ = ["SourceTwilioSinger"]
| 18.25 | 38 | 0.808219 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0.273973 |
6b93c4cb81d74f0acde8f0cc82aaa2e1626a119a | 1,088 | py | Python | off_policy_rl/off_policy_rl/utils/epoch.py | dti-research/ur-learning-shifting-for-grasping | 2dfecf6b2dbe67b65af00fc0ae5f73be2cb8a801 | [
"BSD-3-Clause"
] | 1 | 2021-04-12T07:04:26.000Z | 2021-04-12T07:04:26.000Z | off_policy_rl/off_policy_rl/utils/epoch.py | dti-research/ur-learning-shifting-for-grasping | 2dfecf6b2dbe67b65af00fc0ae5f73be2cb8a801 | [
"BSD-3-Clause"
] | 1 | 2021-11-10T15:51:15.000Z | 2021-11-10T15:51:15.000Z | off_policy_rl/off_policy_rl/utils/epoch.py | dti-research/ur-learning-shifting-for-grasping | 2dfecf6b2dbe67b65af00fc0ae5f73be2cb8a801 | [
"BSD-3-Clause"
] | null | null | null | from typing import List
import numpy as np
from off_policy_rl.utils.selection_method import SelectionMethod
class Epoch:
def __init__(
self,
number_episodes: int,
selection_methods: List[SelectionMethod],
probabilities: List[float] = None
):
self.number_episodes = numb... | 35.096774 | 106 | 0.661765 | 976 | 0.897059 | 0 | 0 | 0 | 0 | 0 | 0 | 135 | 0.124081 |
6b940f509f4451581eb06a07caf3cae0277d933c | 306 | py | Python | nodestack/settings_example.py | chriscslaughter/nodestack | 1905d5fd7d0e208287ceb6016852ada6d32b0984 | [
"MIT"
] | null | null | null | nodestack/settings_example.py | chriscslaughter/nodestack | 1905d5fd7d0e208287ceb6016852ada6d32b0984 | [
"MIT"
] | 3 | 2020-02-11T23:15:56.000Z | 2021-06-10T20:52:54.000Z | nodestack/settings_example.py | chriscslaughter/nodestack | 1905d5fd7d0e208287ceb6016852ada6d32b0984 | [
"MIT"
] | null | null | null | DATABASES = {
'default': {
'ENGINE': 'django.db.backends.postgresql_psycopg2',
'NAME': '',
'USER': '',
'PASSWORD': '',
'HOST': '',
'PORT': 5432
}
}
REDIS_HOST = '18.215.184.182'
REDIS_PORT = 6379
REDIS_PASSWORD = 'vwTe6yLaw5hX9dIdbfW0'
REDIS_DB = 0
| 19.125 | 59 | 0.53268 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 137 | 0.447712 |
6b947dc36dc1850a2e02965bc2a02ae7eeca3cad | 11,761 | py | Python | model/deterministic_decoder.py | illc-uva/deep-generative-lm | c65bdf9d72e7d9d4e02576b1e84bce623725a0cd | [
"MIT"
] | 26 | 2019-04-18T13:07:34.000Z | 2021-03-24T11:55:26.000Z | model/deterministic_decoder.py | illc-uva/deep-generative-lm | c65bdf9d72e7d9d4e02576b1e84bce623725a0cd | [
"MIT"
] | null | null | null | model/deterministic_decoder.py | illc-uva/deep-generative-lm | c65bdf9d72e7d9d4e02576b1e84bce623725a0cd | [
"MIT"
] | 9 | 2019-04-18T23:00:46.000Z | 2021-09-23T15:34:56.000Z | """
A deterministic decoder.
"""
import numpy as np
import sys
import os.path as osp
from collections import defaultdict
from warnings import warn
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
# We include the path of the t... | 45.762646 | 122 | 0.596803 | 11,026 | 0.937505 | 0 | 0 | 338 | 0.028739 | 0 | 0 | 4,134 | 0.351501 |
6b96bddabe2ed1e571fa0fb67e8fe24ad3b42daf | 2,316 | py | Python | trove/tests/scenario/runners/instance_force_delete_runners.py | sapcc/trove | c03ec0827687fba202f72f4d264ab70158604857 | [
"Apache-2.0"
] | 244 | 2015-01-01T12:04:44.000Z | 2022-03-25T23:38:39.000Z | trove/tests/scenario/runners/instance_force_delete_runners.py | sapcc/trove | c03ec0827687fba202f72f4d264ab70158604857 | [
"Apache-2.0"
] | 6 | 2015-08-18T08:19:10.000Z | 2022-03-05T02:32:36.000Z | trove/tests/scenario/runners/instance_force_delete_runners.py | sapcc/trove | c03ec0827687fba202f72f4d264ab70158604857 | [
"Apache-2.0"
] | 178 | 2015-01-02T15:16:58.000Z | 2022-03-23T03:30:20.000Z | # Copyright 2016 Tesora 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 a... | 38.6 | 78 | 0.702936 | 1,481 | 0.639465 | 0 | 0 | 0 | 0 | 0 | 0 | 747 | 0.322539 |
6b976f533f13bffac48ebcfedaef5b78d985ab9b | 489 | py | Python | tests/providers/test_twilio.py | yaakov-github/notifiers | ae204bc08fd9efa06597e5e2cf30ad0a305c94bb | [
"MIT"
] | 2 | 2019-10-06T01:53:42.000Z | 2019-11-19T07:52:17.000Z | tests/providers/test_twilio.py | Delgan/notifiers | 8dd2a8aaa81a9433034a8f347d984c8aa80be9af | [
"MIT"
] | null | null | null | tests/providers/test_twilio.py | Delgan/notifiers | 8dd2a8aaa81a9433034a8f347d984c8aa80be9af | [
"MIT"
] | null | null | null | import pytest
provider = 'twilio'
class TestTwilio:
def test_twilio_metadata(self, provider):
assert provider.metadata == {
'base_url': 'https://api.twilio.com/2010-04-01/Accounts/{}/Messages.json',
'name': 'twilio',
'site_url': 'https://www.twilio.com/'
}
... | 23.285714 | 86 | 0.570552 | 451 | 0.92229 | 0 | 0 | 166 | 0.339468 | 0 | 0 | 142 | 0.290389 |
6b97a216ca7bed17169dea75598a8db7b38aa938 | 3,225 | py | Python | tests/conftest.py | jeromedockes/neuroquery_image_search | 2222caf464de84694273a494ec2d00071b3d14a2 | [
"BSD-3-Clause"
] | 3 | 2021-01-26T20:27:24.000Z | 2021-09-28T19:51:36.000Z | tests/conftest.py | jeromedockes/neuroquery_image_search | 2222caf464de84694273a494ec2d00071b3d14a2 | [
"BSD-3-Clause"
] | null | null | null | tests/conftest.py | jeromedockes/neuroquery_image_search | 2222caf464de84694273a494ec2d00071b3d14a2 | [
"BSD-3-Clause"
] | 1 | 2021-01-21T22:27:16.000Z | 2021-01-21T22:27:16.000Z | from pathlib import Path
import tempfile
from unittest.mock import MagicMock
import pytest
import numpy as np
import pandas as pd
from scipy import sparse
import nibabel
import nilearn
from nilearn.datasets import _testing
from nilearn.datasets._testing import request_mocker # noqa: F401
def make_fake_img():
r... | 32.25 | 78 | 0.68093 | 0 | 0 | 0 | 0 | 930 | 0.288372 | 0 | 0 | 447 | 0.138605 |
6b9b875fc942d57331cb053f791fdadd062c380c | 515 | py | Python | src/handlers/os.py | rodones/daemon | 5bcc680962274390ab1a7ca36eb3a621d4a2144d | [
"BSD-3-Clause"
] | null | null | null | src/handlers/os.py | rodones/daemon | 5bcc680962274390ab1a7ca36eb3a621d4a2144d | [
"BSD-3-Clause"
] | null | null | null | src/handlers/os.py | rodones/daemon | 5bcc680962274390ab1a7ca36eb3a621d4a2144d | [
"BSD-3-Clause"
] | null | null | null | from core.handler import handle
import os
from datetime import datetime
import psutil
@handle("os/name")
def get_name():
return os.uname().nodename
@handle("os/kernel")
def get_kernel():
return os.uname().release
@handle("os/user")
def get_user():
return psutil.Process().username()
@handle("os/boott... | 17.166667 | 83 | 0.699029 | 0 | 0 | 0 | 0 | 414 | 0.803883 | 0 | 0 | 75 | 0.145631 |
6b9bad3a40c3c22732dfc5fe66b2f8ecdcf3a1fd | 1,162 | py | Python | mall_spider/spiders/actions/action.py | 524243642/taobao_spider | 9cdaed1c7a67fc1f35ee2af2e18313cedf3b1e5e | [
"Unlicense"
] | 12 | 2019-06-06T12:23:08.000Z | 2021-06-15T17:50:07.000Z | mall_spider/spiders/actions/action.py | 524243642/mall_spider | 9cdaed1c7a67fc1f35ee2af2e18313cedf3b1e5e | [
"Unlicense"
] | 3 | 2021-03-31T19:02:47.000Z | 2022-02-11T03:43:15.000Z | mall_spider/spiders/actions/action.py | 524243642/taobao_spider | 9cdaed1c7a67fc1f35ee2af2e18313cedf3b1e5e | [
"Unlicense"
] | 5 | 2019-09-17T03:55:56.000Z | 2020-12-18T03:34:03.000Z | # coding: utf-8
import traceback
from abc import ABCMeta, abstractmethod
from mall_spider.spiders.actions.executable import Executable
class Action(Executable):
__metaclass__ = ABCMeta
def execute(self, context):
self.on_create(context=context)
self.on_start(context=context)
try:
... | 22.784314 | 70 | 0.623924 | 1,023 | 0.880379 | 0 | 0 | 379 | 0.326162 | 0 | 0 | 60 | 0.051635 |
6b9e0d5209b7b62f3db7419587e03282debb98ce | 524 | py | Python | Praticas/pratica03/latitude_longitude.py | andrepinto42/Processamento-de-Linguagens | 98facba0d1c9ca751743b1c83dca7f441aa182e9 | [
"MIT"
] | 1 | 2022-03-18T21:39:47.000Z | 2022-03-18T21:39:47.000Z | Praticas/pratica03/latitude_longitude.py | andrepinto42/Processamento-de-Linguagens | 98facba0d1c9ca751743b1c83dca7f441aa182e9 | [
"MIT"
] | null | null | null | Praticas/pratica03/latitude_longitude.py | andrepinto42/Processamento-de-Linguagens | 98facba0d1c9ca751743b1c83dca7f441aa182e9 | [
"MIT"
] | null | null | null | import re
import sys
real_num = r'[+-]?\d+(?:\.\d+)?'
# Falta colocar as os paratenses para identificar o grupo correto
coord = rf'\(({real_num}),\s*({real_num})\)'
for line in sys.stdin:
line = re.sub(coord,r"<point lat='\1', lon='\2' />",line)
if (line):
print(line)
quit()
# Tambem dá para e... | 22.782609 | 71 | 0.574427 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 277 | 0.527619 |
6b9f0ffcb6c75b079a5eb98125aa38eb4f61fd76 | 375 | py | Python | includes/prav_modules/test2.py | praveen868686/DAGAirflow-with-Python | 483fffc2e7f987e523ae3653a90869a67cdad886 | [
"MIT"
] | null | null | null | includes/prav_modules/test2.py | praveen868686/DAGAirflow-with-Python | 483fffc2e7f987e523ae3653a90869a67cdad886 | [
"MIT"
] | null | null | null | includes/prav_modules/test2.py | praveen868686/DAGAirflow-with-Python | 483fffc2e7f987e523ae3653a90869a67cdad886 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
def see():
m = pd.read_csv('C:/dag/Expenditure.csv')
#m = pd.read_csv('C:\dag\Expendture.csv')
# print(m.head())
countt= m ['Category'].value_counts(sort=True, ascending=True).to_frame()
print(countt)
pivottable= m.pivot_table(index=['Category'], values=[... | 25 | 83 | 0.656 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 115 | 0.306667 |
6ba002cacb0aea0efbea0d09c9f0563aeccf4db3 | 4,134 | py | Python | MLP/generate_args.py | AMNoureldin/COMP551-HW4 | 0c855372862300cc0454f144bb40b2e72ba93861 | [
"Apache-2.0"
] | 15 | 2021-03-18T03:00:15.000Z | 2022-02-28T04:42:54.000Z | MLP/generate_args.py | AMNoureldin/COMP551-HW4 | 0c855372862300cc0454f144bb40b2e72ba93861 | [
"Apache-2.0"
] | null | null | null | MLP/generate_args.py | AMNoureldin/COMP551-HW4 | 0c855372862300cc0454f144bb40b2e72ba93861 | [
"Apache-2.0"
] | 2 | 2021-11-05T15:50:20.000Z | 2022-01-16T11:48:27.000Z | # Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 32.046512 | 94 | 0.618287 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,123 | 0.513546 |
6ba2a99855aee76d9f42b28ebf924f529a089bcd | 854 | py | Python | data/datatable.py | sisiwei/impossible-food | 567e0811d5d88a83eae6dadf526bc048e7057121 | [
"MIT"
] | 1 | 2015-04-11T10:27:29.000Z | 2015-04-11T10:27:29.000Z | data/datatable.py | sisiwei/impossible-food | 567e0811d5d88a83eae6dadf526bc048e7057121 | [
"MIT"
] | null | null | null | data/datatable.py | sisiwei/impossible-food | 567e0811d5d88a83eae6dadf526bc048e7057121 | [
"MIT"
] | null | null | null | import json
import sys
from multiprocessing import Pool
DOMAIN = "TM"
def read_file(year):
data = []
with open("%s-%s.json" % (DOMAIN, year), 'rb') as f:
j = json.loads(f.read())
for row in j:
data.append({
'domain': row[1],
'country': row[2],
'country_code': int(row[3]),
... | 22.473684 | 54 | 0.539813 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 213 | 0.249415 |
6ba35922a8da9226341017db55248451774263a5 | 38,712 | py | Python | EasyRegression.py | pankajchejara23/EasyRegression | 7f76d92c4a9d056a83bde6abc2fd6eb980602e44 | [
"MIT"
] | 1 | 2021-04-19T16:47:27.000Z | 2021-04-19T16:47:27.000Z | EasyRegression.py | pankajchejara23/EasyRegression | 7f76d92c4a9d056a83bde6abc2fd6eb980602e44 | [
"MIT"
] | null | null | null | EasyRegression.py | pankajchejara23/EasyRegression | 7f76d92c4a9d056a83bde6abc2fd6eb980602e44 | [
"MIT"
] | null | null | null |
import pandas as pd
import matplotlib.pyplot as plt
import librosa
import seaborn as sns
from sklearn.model_selection import train_test_split
import math
from sklearn.model_selection import LeaveOneGroupOut
from sklearn.metrics import mean_squared_error, mean_absolute_error
import traceback
import statistics
# Regress... | 41.139214 | 457 | 0.517462 | 36,259 | 0.936635 | 0 | 0 | 0 | 0 | 0 | 0 | 10,166 | 0.262606 |
6ba459622ba98919bfa10ab43ed05d7011713aea | 469 | py | Python | Moderate/Prime Numbers/main.py | AstrorEnales/CodeEval | eae0fb471d27d3a83d544ff4a4651ed1a2076930 | [
"MIT"
] | null | null | null | Moderate/Prime Numbers/main.py | AstrorEnales/CodeEval | eae0fb471d27d3a83d544ff4a4651ed1a2076930 | [
"MIT"
] | null | null | null | Moderate/Prime Numbers/main.py | AstrorEnales/CodeEval | eae0fb471d27d3a83d544ff4a4651ed1a2076930 | [
"MIT"
] | null | null | null | import sys
lines = open(sys.argv[1], 'r')
for line in lines:
line = line.replace('\n', '').replace('\r', '')
if len(line) > 0:
n = int(line)
primes = set([2])
num = 3
while num < n:
if all(num % i != 0 for i in primes):
primes = set(list(pri... | 26.055556 | 52 | 0.45629 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0.03838 |
6ba4e572e52707590a52608ce4cc12b513909627 | 2,117 | py | Python | gemtown/users/serializers.py | doramong0926/gemtown | 2c39284e3c68f0cc11994bed0ee2abaad0ea06b6 | [
"MIT"
] | null | null | null | gemtown/users/serializers.py | doramong0926/gemtown | 2c39284e3c68f0cc11994bed0ee2abaad0ea06b6 | [
"MIT"
] | 5 | 2020-09-04T20:13:39.000Z | 2022-02-17T22:03:33.000Z | gemtown/users/serializers.py | doramong0926/gemtown | 2c39284e3c68f0cc11994bed0ee2abaad0ea06b6 | [
"MIT"
] | null | null | null | from rest_framework import serializers
from gemtown.modelphotos import models as modelphoto_models
from gemtown.modelers import models as modeler_models
from gemtown.musicians import models as musician_models
from . import models
import time
class TimestampField(serializers.Field):
def to_representation(self, valu... | 25.817073 | 60 | 0.561171 | 1,860 | 0.878602 | 0 | 0 | 0 | 0 | 0 | 0 | 308 | 0.145489 |
6ba6fc313f5304844d20f830ba30be7f1409ef35 | 8,294 | py | Python | neaps-api/neaps_lib/delivery_time_test.py | HotelsDotCom/neaps | 4222016d60d27a168f4fb5569d696ec1731f8698 | [
"Apache-2.0"
] | 6 | 2018-01-18T11:31:41.000Z | 2019-11-11T19:56:06.000Z | neaps-api/neaps_lib/delivery_time_test.py | HotelsDotCom/neaps | 4222016d60d27a168f4fb5569d696ec1731f8698 | [
"Apache-2.0"
] | null | null | null | neaps-api/neaps_lib/delivery_time_test.py | HotelsDotCom/neaps | 4222016d60d27a168f4fb5569d696ec1731f8698 | [
"Apache-2.0"
] | null | null | null | #
# Copyright 2018 Expedia Inc.
#
# 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 writin... | 22.176471 | 74 | 0.437545 | 424 | 0.051121 | 0 | 0 | 0 | 0 | 0 | 0 | 7,244 | 0.873402 |
6ba78991985070dc29bb6e09cbc030857e571e30 | 6,702 | py | Python | alexa_skills/cis_diagnosis.py | paramraghavan/sls-py-alexa-color-picker | da4752442dd4ead19832930103adb9d81cfc163a | [
"MIT"
] | null | null | null | alexa_skills/cis_diagnosis.py | paramraghavan/sls-py-alexa-color-picker | da4752442dd4ead19832930103adb9d81cfc163a | [
"MIT"
] | null | null | null | alexa_skills/cis_diagnosis.py | paramraghavan/sls-py-alexa-color-picker | da4752442dd4ead19832930103adb9d81cfc163a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import logging
from ask_sdk_core.skill_builder import SkillBuilder
from ask_sdk_core.utils import is_request_type, is_intent_name
from ask_sdk_core.handler_input import HandlerInput
from ask_sdk_model import Response
from ask_sdk_model.ui import SimpleCard
import os
from alexa_skills import aw... | 32.852941 | 110 | 0.716801 | 337 | 0.050283 | 0 | 0 | 4,198 | 0.62638 | 0 | 0 | 2,389 | 0.356461 |
6ba87f59c7f750ad17a00d25ed32add4e2688d55 | 9,360 | py | Python | layouts/params.py | JAOP1/pyristicLab | fb3f0eb88af5b964bf91875e20fb3c42b04e257d | [
"MIT"
] | null | null | null | layouts/params.py | JAOP1/pyristicLab | fb3f0eb88af5b964bf91875e20fb3c42b04e257d | [
"MIT"
] | null | null | null | layouts/params.py | JAOP1/pyristicLab | fb3f0eb88af5b964bf91875e20fb3c42b04e257d | [
"MIT"
] | null | null | null |
"""
---------------------------------------------------------------------
Continuos Optimization Problems
---------------------------------------------------------------------
"""
"""
---------------------------------------------------------------------
GA configuration
------... | 25.57377 | 72 | 0.290278 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,807 | 0.405561 |
6ba8948db01a555810296ad83a1297622916c86e | 988 | py | Python | armautils_cli/smdimerge.py | KoffeinFlummi/ArmaUtils | 2f1fdc8fb561fb54077f3c328d7a788e75c78dad | [
"MIT"
] | 1 | 2015-02-19T17:31:17.000Z | 2015-02-19T17:31:17.000Z | armautils_cli/smdimerge.py | KoffeinFlummi/ArmaUtils | 2f1fdc8fb561fb54077f3c328d7a788e75c78dad | [
"MIT"
] | null | null | null | armautils_cli/smdimerge.py | KoffeinFlummi/ArmaUtils | 2f1fdc8fb561fb54077f3c328d7a788e75c78dad | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import numpy as np
from PIL import Image
def smdimerge(pargs, oargs):
if len(pargs) != 3:
return -1
path_spec, path_gloss, path_target = pargs
try:
spec = Image.open(path_spec).convert("RGBA")
gloss = Image.open(path_gloss).convert("RGBA")
except:
... | 23.52381 | 72 | 0.601215 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 213 | 0.215587 |
6ba92406854249e5b9f75ef7a1b017bf6c889193 | 932 | py | Python | logstash-pruner/prune_logs.py | wuvt/containers | 729469c4e878027da589afb9b37d61de104a5713 | [
"0BSD"
] | 1 | 2017-09-16T04:54:33.000Z | 2017-09-16T04:54:33.000Z | logstash-pruner/prune_logs.py | wuvt/containers | 729469c4e878027da589afb9b37d61de104a5713 | [
"0BSD"
] | null | null | null | logstash-pruner/prune_logs.py | wuvt/containers | 729469c4e878027da589afb9b37d61de104a5713 | [
"0BSD"
] | null | null | null | #!/usr/bin/python3
import datetime
import os
import requests
import sys
if sys.version_info[0] >= 3:
import urllib.parse as urllib
else:
import urllib
endpoint = os.environ['ELASTICSEARCH_URL']
username = os.environ['ELASTICSEARCH_USERNAME']
password = os.environ['ELASTICSEARCH_PASSWORD']
prune_start = datet... | 29.125 | 70 | 0.604077 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 128 | 0.137339 |
6baa9c56ec82f3de3e848ccc5b1bc7bfad503442 | 7,001 | py | Python | detect_motor_test3.py | binghaohuang1/object-detective-visual-tracking | e61680a771dc13a006113d96965e59ff1bc3ce6d | [
"MIT"
] | null | null | null | detect_motor_test3.py | binghaohuang1/object-detective-visual-tracking | e61680a771dc13a006113d96965e59ff1bc3ce6d | [
"MIT"
] | null | null | null | detect_motor_test3.py | binghaohuang1/object-detective-visual-tracking | e61680a771dc13a006113d96965e59ff1bc3ce6d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#!coding=utf-8
import rospy
import numpy as np
import PIL.Image as pilimage
from sensor_msgs.msg import CompressedImage
from sensor_msgs.msg import Image
from std_msgs.msg import Float64
from cv_bridge import CvBridge, CvBridgeError
import cv2
import time
from yolo import YOLO
from sensor_msgs.ms... | 32.868545 | 114 | 0.571347 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,512 | 0.204684 |
6baa9dca059c9918a2a7be0aeb44d2c0167aca74 | 1,841 | py | Python | venv/lib/python3.8/site-packages/ansible/utils/collection_loader/_collection_meta.py | saeedya/docker-ansible | 6fb0cfc6bc4a5925b21380952a5a4502ec02119a | [
"Apache-2.0"
] | null | null | null | venv/lib/python3.8/site-packages/ansible/utils/collection_loader/_collection_meta.py | saeedya/docker-ansible | 6fb0cfc6bc4a5925b21380952a5a4502ec02119a | [
"Apache-2.0"
] | null | null | null | venv/lib/python3.8/site-packages/ansible/utils/collection_loader/_collection_meta.py | saeedya/docker-ansible | 6fb0cfc6bc4a5925b21380952a5a4502ec02119a | [
"Apache-2.0"
] | null | null | null | # (c) 2019 Ansible Project
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
# CAUTION: There are two implementations of the collection loader.
# They must be kept functionally identical, although their implementations may differ.
#
# 1) The controller implementation... | 48.447368 | 125 | 0.76969 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,319 | 0.716458 |
6bab2761f4e78590b87af2ab8a2f23f2ce26ee32 | 69 | py | Python | tests/test_resources/test_jobs_package/test_jobs_package/throw_an_exception_job.py | ni/hoplite | bc1b01aa08ba21daa36f46b06000b62890096787 | [
"MIT"
] | 16 | 2016-02-25T16:41:28.000Z | 2020-11-07T13:27:40.000Z | tests/test_resources/test_jobs_package/test_jobs_package/throw_an_exception_job.py | ni/hoplite | bc1b01aa08ba21daa36f46b06000b62890096787 | [
"MIT"
] | null | null | null | tests/test_resources/test_jobs_package/test_jobs_package/throw_an_exception_job.py | ni/hoplite | bc1b01aa08ba21daa36f46b06000b62890096787 | [
"MIT"
] | 8 | 2016-02-11T16:44:52.000Z | 2020-01-23T19:45:37.000Z | def run(config, status):
raise TypeError("THE SKY IS FALLING!!")
| 23 | 43 | 0.681159 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0.318841 |
6baba2b5a50d24a7e67ce4b5e3c206e3e6b416ad | 7,184 | py | Python | git_pull_all.py | searKing/git-pull-all | b77a1b0461cd00a5f3ccd48253a12674557302b6 | [
"MIT"
] | null | null | null | git_pull_all.py | searKing/git-pull-all | b77a1b0461cd00a5f3ccd48253a12674557302b6 | [
"MIT"
] | null | null | null | git_pull_all.py | searKing/git-pull-all | b77a1b0461cd00a5f3ccd48253a12674557302b6 | [
"MIT"
] | null | null | null | #!/usr/bin/python
import git
from git import *
import threading
import os
import sys
import getopt
from enum import Enum
class GitCommandType(Enum):
pull = 1
push = 2
nop = 3
def yes_or_no(msg: str):
yes_no = input(msg + " ? [Y]es or [n]o?")
yes_no = yes_no.lower()
if yes_no == "yes" or yes... | 39.256831 | 121 | 0.579065 | 140 | 0.019488 | 0 | 0 | 0 | 0 | 0 | 0 | 1,027 | 0.142957 |
6bac63dfef6fa2d50e75637d8cb0e279922534d7 | 1,943 | py | Python | 03-dearsanta/dateconvert.py | hugovk/NaNoGenMo-2016 | e71b333173b221066f56adcdea4fe8cfdfd4e7c7 | [
"FTL"
] | null | null | null | 03-dearsanta/dateconvert.py | hugovk/NaNoGenMo-2016 | e71b333173b221066f56adcdea4fe8cfdfd4e7c7 | [
"FTL"
] | null | null | null | 03-dearsanta/dateconvert.py | hugovk/NaNoGenMo-2016 | e71b333173b221066f56adcdea4fe8cfdfd4e7c7 | [
"FTL"
] | null | null | null | #!/usr/bin/env python3
"""
Take a timestamp like:
25/11/2016 23:05:03
Convert it to:
25 November 2016, 13:05 PST
25 November 2016, 16:05 EST
25 November 2016, 21:05 GMT
25 November 2016, 21:05 UTC
25 November 2016, 23:05 EET
26 November 2016, 02:35 IST
26 November 2016, 05:05 CST
26 November 2016, 06:05 JST
26 Novembe... | 25.906667 | 74 | 0.662378 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 819 | 0.421513 |
6bad66e09e43cf21ce9d5331e922f80d18955982 | 799 | py | Python | priv_tube/database/repositories/system_flags.py | ActionCactus/prive_tube | d6d53b87e1a91248e32532a86b23f2d2f3196c58 | [
"MIT"
] | null | null | null | priv_tube/database/repositories/system_flags.py | ActionCactus/prive_tube | d6d53b87e1a91248e32532a86b23f2d2f3196c58 | [
"MIT"
] | null | null | null | priv_tube/database/repositories/system_flags.py | ActionCactus/prive_tube | d6d53b87e1a91248e32532a86b23f2d2f3196c58 | [
"MIT"
] | null | null | null | from priv_tube.database.models.system_flags import SystemFlags as Model
from priv_tube.database import db
class SystemFlags:
"""
Repository for interacting with the `system_flags` database table responsible for system-wide toggles.
"""
@staticmethod
def is_enabled(setting_name: str) -> bool:
... | 29.592593 | 106 | 0.693367 | 690 | 0.863579 | 0 | 0 | 531 | 0.664581 | 0 | 0 | 118 | 0.147685 |
6baec59b9ec0b23b54791668f80cdb75f7f78fe2 | 2,899 | py | Python | borisat/models/rd/unnested.py | CircleOnCircles/borisat | 4f170ee1a0b11f06b1c3e99f42823061d7e0028e | [
"MIT"
] | null | null | null | borisat/models/rd/unnested.py | CircleOnCircles/borisat | 4f170ee1a0b11f06b1c3e99f42823061d7e0028e | [
"MIT"
] | 1 | 2020-10-10T08:18:29.000Z | 2020-10-10T08:18:29.000Z | borisat/models/rd/unnested.py | CircleOnCircles/borisat | 4f170ee1a0b11f06b1c3e99f42823061d7e0028e | [
"MIT"
] | null | null | null | """
{
'vNID': {
'anyType': [
'0105558096348'
]
},
'vtin': None,
'vtitleName': {
'anyType': [
'บริษัท'
]
},
'vName': {
'anyType': [
'โฟลว์แอคเคาท์ จำกัด'
]
},
'vSurname': {
'anyT... | 19.993103 | 137 | 0.397378 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,203 | 0.707223 |
6bb2d695f2072ac119b9190737ac6f9ea82daea3 | 7,969 | py | Python | Kernelized-Rank-Learning-master/dataset.py | zsyasd/drug-response-test | 65bff3423a0cc972dd4664b7f547767c1f10f635 | [
"MIT"
] | 1 | 2021-01-22T04:06:57.000Z | 2021-01-22T04:06:57.000Z | Kernelized-Rank-Learning-master/dataset.py | zsyasd/drug-response-test | 65bff3423a0cc972dd4664b7f547767c1f10f635 | [
"MIT"
] | null | null | null | Kernelized-Rank-Learning-master/dataset.py | zsyasd/drug-response-test | 65bff3423a0cc972dd4664b7f547767c1f10f635 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import os
import sys
import urllib2
import zipfile
import numpy as np
import pandas as pd
from openpyxl import load_workbook
from misc import intersect_index
def main():
# Read URLs to GDSC datasets
urls_file = sys.argv[1]
urls = []
with open(urls_file) as f:
for line i... | 40.866667 | 136 | 0.677626 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,523 | 0.191116 |
6bb3065e877b04d04efa39f8cb2dec584e2b65df | 3,696 | py | Python | app/utils/logger.py | janaSunrise/ZeroCOM | 7197684ce708f080fe215b0a6e57c12836e4c0ab | [
"Apache-2.0"
] | 6 | 2021-03-27T08:58:04.000Z | 2021-05-23T17:07:09.000Z | app/utils/logger.py | janaSunrise/ZeroCOM | 7197684ce708f080fe215b0a6e57c12836e4c0ab | [
"Apache-2.0"
] | 2 | 2021-05-30T08:06:53.000Z | 2021-06-02T17:02:06.000Z | app/utils/logger.py | janaSunrise/ZeroCOM | 7197684ce708f080fe215b0a6e57c12836e4c0ab | [
"Apache-2.0"
] | null | null | null | # -- Imports --
from datetime import datetime
from colorama import Back
from rich.console import Console
from .colors import get_bright_color, get_color
# -- Mappings --
log_color_mapping = {
"error": get_bright_color("RED"),
"warning": get_bright_color("YELLOW"),
"message": get_color("CYAN"),
"succe... | 29.806452 | 102 | 0.619589 | 2,674 | 0.723485 | 0 | 0 | 320 | 0.08658 | 0 | 0 | 1,217 | 0.329275 |
6bb44465b2c1e375804bcf23757d647344be8b01 | 1,506 | py | Python | modasci/data_connector.py | ArashLab/MoDaSci | 3f173a9ca686edf00a2f143814b603d4e3be9de2 | [
"MIT"
] | null | null | null | modasci/data_connector.py | ArashLab/MoDaSci | 3f173a9ca686edf00a2f143814b603d4e3be9de2 | [
"MIT"
] | null | null | null | modasci/data_connector.py | ArashLab/MoDaSci | 3f173a9ca686edf00a2f143814b603d4e3be9de2 | [
"MIT"
] | 1 | 2021-09-11T13:59:13.000Z | 2021-09-11T13:59:13.000Z | from munch import Munch
from .utils import import_class
from .serialization import YAMLMixin
from .micro_task import import_class
class DataConnector(YAMLMixin):
"""Encapsulates a data handler along with zero or more micro tasks.
With the earliest access to the underlying data (through the `values` property... | 40.702703 | 117 | 0.717131 | 1,372 | 0.911023 | 0 | 0 | 501 | 0.332669 | 0 | 0 | 564 | 0.374502 |
6bb46fd7a793cdd2673a191ac0ee65bd9e96f260 | 682 | py | Python | gallery/migrations/0011_auto_20161126_1821.py | danielsinaga1/djangonewsfix | 04b84240daabb840c1e715fbade8ae15b3b0f22c | [
"BSD-3-Clause"
] | 19 | 2018-01-28T14:35:40.000Z | 2020-12-04T03:04:02.000Z | gallery/migrations/0011_auto_20161126_1821.py | danielsinaga1/djangonewsfix | 04b84240daabb840c1e715fbade8ae15b3b0f22c | [
"BSD-3-Clause"
] | 8 | 2018-06-02T14:28:28.000Z | 2021-08-06T10:22:37.000Z | gallery/migrations/0011_auto_20161126_1821.py | danielsinaga1/djangonewsfix | 04b84240daabb840c1e715fbade8ae15b3b0f22c | [
"BSD-3-Clause"
] | 21 | 2018-02-25T14:07:48.000Z | 2020-05-28T23:10:52.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.9.6 on 2016-11-26 16:21
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('gallery', '0010_auto_20161126_1543'),
]
operations = [
migrations.AlterField... | 26.230769 | 84 | 0.612903 | 525 | 0.769795 | 0 | 0 | 0 | 0 | 0 | 0 | 197 | 0.288856 |
6bb5785201bd7a9127918db4d2b10a17a6eb105d | 1,213 | py | Python | mechanic/drive_navigate_boost/drive_navigate_boost.py | oxrock/DisasterBot | 36260e9ef8730edbae018ba87aa19aaad72c8814 | [
"MIT"
] | 11 | 2018-11-18T09:30:39.000Z | 2021-08-24T18:47:48.000Z | mechanic/drive_navigate_boost/drive_navigate_boost.py | oxrock/DisasterBot | 36260e9ef8730edbae018ba87aa19aaad72c8814 | [
"MIT"
] | 6 | 2020-01-31T11:37:56.000Z | 2020-05-01T19:13:54.000Z | mechanic/drive_navigate_boost/drive_navigate_boost.py | oxrock/DisasterBot | 36260e9ef8730edbae018ba87aa19aaad72c8814 | [
"MIT"
] | 7 | 2018-11-17T20:02:19.000Z | 2020-05-01T15:07:13.000Z | from rlbot.agents.base_agent import SimpleControllerState
from mechanic.base_mechanic import BaseMechanic
from mechanic.drive_arrive_in_time import DriveArriveInTime
from skeleton.util.structure import Player
from util.linear_algebra import norm
from util.path_finder import find_fastest_path, first_target, optional_b... | 40.433333 | 101 | 0.73042 | 878 | 0.723825 | 0 | 0 | 0 | 0 | 0 | 0 | 159 | 0.13108 |
6bb5a3ae1541a6323233d61a349487d06b8c5714 | 1,907 | py | Python | Simplex_Files/Dual_Problem.py | c-randall/Primal-Simplex-Method | 620d7598691ed9717d2d18706c44e462f75e85c5 | [
"BSD-3-Clause"
] | 1 | 2021-12-04T12:18:17.000Z | 2021-12-04T12:18:17.000Z | Simplex_Files/Dual_Problem.py | c-randall/Primal-Simplex-Method | 620d7598691ed9717d2d18706c44e462f75e85c5 | [
"BSD-3-Clause"
] | null | null | null | Simplex_Files/Dual_Problem.py | c-randall/Primal-Simplex-Method | 620d7598691ed9717d2d18706c44e462f75e85c5 | [
"BSD-3-Clause"
] | 2 | 2020-05-30T16:38:37.000Z | 2022-01-22T19:50:42.000Z | """
Created on Wed Apr 3 13:07:18 2019
Author:
Corey R. Randall
Summary:
If the user wishes to solve the Dual Problem over the Primal one, this
function provides support to appropriately convert the problem into its
alternate form.
"""
""" Import needed modules """
"----------------... | 31.262295 | 80 | 0.529628 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 827 | 0.433665 |
6bb5e552c9b4052b2b3d89711be844490a830473 | 1,764 | py | Python | sgcc-client/api/my_api.py | zhanwei33/baai-federated-learning | 838507f2344139e66385e1ef475a148fdeaf5c62 | [
"Apache-2.0"
] | 26 | 2020-11-30T09:42:17.000Z | 2022-03-05T02:20:45.000Z | sgcc-client/api/my_api.py | AIOpenData/baai-federated-learning-helmet-baseline | 8d9a1eded43a945f790d415f3ee37cda78b73c52 | [
"Apache-2.0"
] | null | null | null | sgcc-client/api/my_api.py | AIOpenData/baai-federated-learning-helmet-baseline | 8d9a1eded43a945f790d415f3ee37cda78b73c52 | [
"Apache-2.0"
] | 6 | 2020-12-01T13:01:15.000Z | 2021-11-16T10:51:39.000Z | from api import my_api
from service.federated.client import Client
from utils.common_utils import Common
from flask import request
@my_api.route('/')
def index():
return '<h1>Hello, this is client!</h1>'
@my_api.route("/federated_train_size", methods=["GET", "POST"])
def federated_train_size():
return Clien... | 36.75 | 93 | 0.781746 | 0 | 0 | 0 | 0 | 1,618 | 0.917234 | 0 | 0 | 507 | 0.287415 |
6bba5f186b30e976cabf28a647d3b87bff42e9f0 | 5,954 | py | Python | backend/tracim_backend/tests/library/test_application_api.py | lezardrouge/tracim | 713ff6066767554333e7e0b1de608ec1a7e4229c | [
"MIT"
] | null | null | null | backend/tracim_backend/tests/library/test_application_api.py | lezardrouge/tracim | 713ff6066767554333e7e0b1de608ec1a7e4229c | [
"MIT"
] | null | null | null | backend/tracim_backend/tests/library/test_application_api.py | lezardrouge/tracim | 713ff6066767554333e7e0b1de608ec1a7e4229c | [
"MIT"
] | null | null | null | from mock import Mock
from tracim_backend.app_models.applications import Application
from tracim_backend.app_models.contents import content_status_list
from tracim_backend.app_models.workspace_menu_entries import all_content_menu_entry
from tracim_backend.app_models.workspace_menu_entries import dashboard_menu_entry
f... | 41.062069 | 100 | 0.658885 | 5,469 | 0.918542 | 0 | 0 | 0 | 0 | 0 | 0 | 803 | 0.134867 |
6bbbb5f359c8e40427bcd1ee484f14b132a99a62 | 2,593 | py | Python | gallery/m_cardloader.py | kengoon/KvGallery | 4d946fa06479636411e027bfdebbb15c58c176cf | [
"MIT"
] | 2 | 2021-05-28T13:37:07.000Z | 2021-06-20T06:47:20.000Z | gallery/m_cardloader.py | kengoon/KvGallery | 4d946fa06479636411e027bfdebbb15c58c176cf | [
"MIT"
] | null | null | null | gallery/m_cardloader.py | kengoon/KvGallery | 4d946fa06479636411e027bfdebbb15c58c176cf | [
"MIT"
] | null | null | null | from kivy.event import EventDispatcher
from kivy.metrics import dp
from kivy.properties import ListProperty, StringProperty
from kivymd.uix.card import MDCard
from kivy.lang import Builder
__all__ = "M_CardLoader"
Builder.load_string(
"""
# kv_start
<M_CardLoader>:
md_bg_color: 0, 0, 0, 0
radius: [dp(10),... | 27.585106 | 73 | 0.529117 | 736 | 0.283841 | 0 | 0 | 0 | 0 | 0 | 0 | 1,660 | 0.640185 |
6bbc545ddb8b337163afbee7b7359f2bf1545ca8 | 763 | py | Python | setup.py | OpenTAI/pre-commit-hooks | e123691fa26ff26d1a5f3513ee419bec6eef02ab | [
"MIT"
] | null | null | null | setup.py | OpenTAI/pre-commit-hooks | e123691fa26ff26d1a5f3513ee419bec6eef02ab | [
"MIT"
] | 1 | 2022-02-16T10:19:25.000Z | 2022-02-16T10:19:26.000Z | setup.py | OpenTAI/pre-commit-hooks | e123691fa26ff26d1a5f3513ee419bec6eef02ab | [
"MIT"
] | null | null | null | from setuptools import find_packages, setup # type: ignore
def readme():
with open('./README.md', encoding='utf-8') as f:
content = f.read()
return content
setup(
name='pre_commit_hooks',
version='0.1.0',
description='A pre-commit hook for OpenTAI projects',
long_description=readme(... | 26.310345 | 68 | 0.647444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 305 | 0.399738 |
6bbdd01acf71fc3e4336063b1dbd03093b010571 | 6,037 | py | Python | baselines/ppo2/defaults.py | jinala/RLbaselines | 3594c1edae49e1bb997057912cfb9b07531d41f4 | [
"MIT"
] | null | null | null | baselines/ppo2/defaults.py | jinala/RLbaselines | 3594c1edae49e1bb997057912cfb9b07531d41f4 | [
"MIT"
] | null | null | null | baselines/ppo2/defaults.py | jinala/RLbaselines | 3594c1edae49e1bb997057912cfb9b07531d41f4 | [
"MIT"
] | 1 | 2021-04-27T17:21:28.000Z | 2021-04-27T17:21:28.000Z | import random
import numpy as np
def unif_range(a, b):
return random.random() * (b - a) + a
def rand_elem(xs):
return xs[random.randrange(len(xs))]
def rand_int_linspace(start, stop, num = 50):
return rand_elem([int(x) for x in np.linspace(start, stop, num)])
def mujoco():
return dict(
nst... | 27.193694 | 90 | 0.525427 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,885 | 0.477886 |
6bc269d33439bd018df37c790bc02091c42db872 | 3,339 | py | Python | pysnmp-with-texts/DLINK-3100-JUMBOFRAMES-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 8 | 2019-05-09T17:04:00.000Z | 2021-06-09T06:50:51.000Z | pysnmp-with-texts/DLINK-3100-JUMBOFRAMES-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 4 | 2019-05-31T16:42:59.000Z | 2020-01-31T21:57:17.000Z | pysnmp-with-texts/DLINK-3100-JUMBOFRAMES-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module DLINK-3100-JUMBOFRAMES-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/DLINK-3100-JUMBOFRAMES-MIB
# Produced by pysmi-0.3.4 at Wed May 1 12:48:33 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version ... | 107.709677 | 477 | 0.790356 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,243 | 0.372267 |
6bc31e0e8c79fc64c7885e7fdab75aafe565a7f9 | 204 | py | Python | WebFrameDocs/src/demo/flask-demo/apps/api/common/response.py | Bean-jun/LearnGuide | 30a8567b222d18b15d3e9027a435b5bfe640a046 | [
"MIT"
] | 1 | 2022-02-23T13:42:01.000Z | 2022-02-23T13:42:01.000Z | WebFrameDocs/src/demo/flask-demo/apps/api/common/response.py | Bean-jun/LearnGuide | 30a8567b222d18b15d3e9027a435b5bfe640a046 | [
"MIT"
] | null | null | null | WebFrameDocs/src/demo/flask-demo/apps/api/common/response.py | Bean-jun/LearnGuide | 30a8567b222d18b15d3e9027a435b5bfe640a046 | [
"MIT"
] | null | null | null | def response(code=200, msg=None, data=None):
# 请求响应
msg = msg if msg else ""
data = data if data else ""
return {
"code": code,
"message": msg,
"data": data
}
| 18.545455 | 44 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 0.183962 |
6bc370acc905253ff8d26ccf15fd3f3f085e6141 | 110 | py | Python | contrib/pyln-spec/bolt7/pyln/spec/bolt7/gen_version.py | rsouvik/bitblue | a205fb77695a26512c7eb9ba33a7379f246ec357 | [
"MIT"
] | 4 | 2019-12-08T21:02:32.000Z | 2020-08-06T12:14:37.000Z | contrib/pyln-spec/bolt7/pyln/spec/bolt7/gen_version.py | rsouvik/bitblue | a205fb77695a26512c7eb9ba33a7379f246ec357 | [
"MIT"
] | 5 | 2021-02-20T02:41:55.000Z | 2021-06-01T20:04:08.000Z | contrib/pyln-spec/bolt7/pyln/spec/bolt7/gen_version.py | rsouvik/bitblue | a205fb77695a26512c7eb9ba33a7379f246ec357 | [
"MIT"
] | 7 | 2019-10-07T23:53:49.000Z | 2021-11-23T18:26:30.000Z | __base_version__ = "1.0"
__post_version__ = "137"
__gitversion__ = "9e8e29af9b9a922eb114b2c716205d0772946e56"
| 27.5 | 59 | 0.827273 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 52 | 0.472727 |
6bc548fb933264d47e42737add228df3e1a66805 | 3,509 | py | Python | main.py | lhs9842/KNUTNoticeBot | cfc83f2abc079a660177d00da1eab288cad021b4 | [
"MIT"
] | 1 | 2022-02-23T01:54:07.000Z | 2022-02-23T01:54:07.000Z | main.py | lhs9842/KNUTNoticeBot | cfc83f2abc079a660177d00da1eab288cad021b4 | [
"MIT"
] | null | null | null | main.py | lhs9842/KNUTNoticeBot | cfc83f2abc079a660177d00da1eab288cad021b4 | [
"MIT"
] | 1 | 2022-02-23T07:17:31.000Z | 2022-02-23T07:17:31.000Z | import setting
import requests
import threading
import time
import sqlite3
from bs4 import BeautifulSoup
from urllib import parse
public_board = [["BBSMSTR_000000000059", "일반소식"], ["BBSMSTR_000000000060", "장학안내"], ["BBSMSTR_000000000055", "학사공지사항"]] # [boardId, 게시판 명칭]
db_conn = sqlite3.connect("NoticeBot.db", check_... | 44.987179 | 205 | 0.596751 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,423 | 0.368367 |
6bc75bfe6f3b314f3347fa4156e55b1ddf54d5f2 | 785 | py | Python | migrate_dns/destructo.py | jlin/inventory | c098c98e570c3bf9fadfd811eb75e1213f6ea428 | [
"BSD-3-Clause"
] | 22 | 2015-01-16T01:36:32.000Z | 2020-06-08T00:46:18.000Z | migrate_dns/destructo.py | jlin/inventory | c098c98e570c3bf9fadfd811eb75e1213f6ea428 | [
"BSD-3-Clause"
] | 9 | 2019-03-15T11:39:32.000Z | 2019-04-30T00:59:50.000Z | migrate_dns/destructo.py | jlin/inventory | c098c98e570c3bf9fadfd811eb75e1213f6ea428 | [
"BSD-3-Clause"
] | 13 | 2015-01-13T20:56:22.000Z | 2022-02-23T06:01:17.000Z | from mozdns.address_record.models import AddressRecord
from mozdns.cname.models import CNAME
from mozdns.domain.models import Domain
from mozdns.mx.models import MX
from mozdns.nameserver.models import Nameserver
from mozdns.ptr.models import PTR
from mozdns.soa.models import SOA
from mozdns.srv.models import SRV
from ... | 30.192308 | 54 | 0.743949 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6bc7b78982d279f5295d2beb48fb63642b3d9439 | 255 | py | Python | mundo-1/condicoes/aumentos_multiplos.py | Murilloalves/estudos-python | 804a8f646efd86840a3183b65f775168ebb6cf37 | [
"MIT"
] | null | null | null | mundo-1/condicoes/aumentos_multiplos.py | Murilloalves/estudos-python | 804a8f646efd86840a3183b65f775168ebb6cf37 | [
"MIT"
] | null | null | null | mundo-1/condicoes/aumentos_multiplos.py | Murilloalves/estudos-python | 804a8f646efd86840a3183b65f775168ebb6cf37 | [
"MIT"
] | null | null | null | salario = float(input('Qual é salário do funcionário? R$'))
if salario <= 1250:
aumento = salario + (salario*15/100)
else:
aumento = salario + (salario * 10 / 100)
print('Quem ganhava R${} passa a ganhar R${:.2f} agora.'.format(salario, aumento))
| 36.428571 | 82 | 0.662745 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 88 | 0.341085 |
6bc804671bae5a9914e56977a2eb91970281e7fd | 319 | py | Python | mysite/myapp/migrations/0003_remove_input_input2.py | Omnibyte27/Web-Collab | 8f18b2f62f5497669a0f95cfbcfb128738db8c9e | [
"MIT"
] | 1 | 2019-11-09T00:17:00.000Z | 2019-11-09T00:17:00.000Z | mysite/myapp/migrations/0003_remove_input_input2.py | Omnibyte27/Web-Collab | 8f18b2f62f5497669a0f95cfbcfb128738db8c9e | [
"MIT"
] | 7 | 2020-06-06T00:19:39.000Z | 2022-02-10T14:08:37.000Z | mysite/myapp/migrations/0003_remove_input_input2.py | Omnibyte27/Web-Collab | 8f18b2f62f5497669a0f95cfbcfb128738db8c9e | [
"MIT"
] | 1 | 2019-11-10T23:12:42.000Z | 2019-11-10T23:12:42.000Z | # Generated by Django 2.2.5 on 2019-09-29 18:57
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('myapp', '0002_input_input2'),
]
operations = [
migrations.RemoveField(
model_name='input',
name='input2',
),
]
| 17.722222 | 47 | 0.579937 | 234 | 0.733542 | 0 | 0 | 0 | 0 | 0 | 0 | 88 | 0.275862 |
6bc8119faa11d3034406f5e04fb3d2f0570e36ee | 127 | py | Python | django_frontend_presets/presets/__init__.py | mikemenard/django-frontend-presets | 0d1837415282ae43488b3e6e66889bc94f1a45b4 | [
"BSD-3-Clause"
] | null | null | null | django_frontend_presets/presets/__init__.py | mikemenard/django-frontend-presets | 0d1837415282ae43488b3e6e66889bc94f1a45b4 | [
"BSD-3-Clause"
] | null | null | null | django_frontend_presets/presets/__init__.py | mikemenard/django-frontend-presets | 0d1837415282ae43488b3e6e66889bc94f1a45b4 | [
"BSD-3-Clause"
] | null | null | null | from .Bootstrap import Bootstrap
from .Init import Init
from .React import React
from .Reset import Reset
from .Vue import Vue
| 21.166667 | 32 | 0.80315 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6bc83f48988080bc745090b0af2be2b40f9b6a5e | 2,041 | py | Python | inference_methods_local.py | Yaakoubi/Struct-CKN | fa007fa71310866584bdf2e5b038e6663b94e965 | [
"MIT"
] | 1 | 2021-05-30T13:42:56.000Z | 2021-05-30T13:42:56.000Z | inference_methods_local.py | Yaakoubi/Struct-CKN | fa007fa71310866584bdf2e5b038e6663b94e965 | [
"MIT"
] | null | null | null | inference_methods_local.py | Yaakoubi/Struct-CKN | fa007fa71310866584bdf2e5b038e6663b94e965 | [
"MIT"
] | 2 | 2022-03-16T22:00:30.000Z | 2022-03-29T20:08:57.000Z | import ad3
import numpy as np
from pystruct.inference.common import _validate_params
class InferenceException(Exception):
pass
def inference_ad3_local(unary_potentials, pairwise_potentials, edges, relaxed=False,
verbose=0, return_energy=False, branch_and_bound=False,
... | 39.25 | 92 | 0.632533 | 46 | 0.022538 | 0 | 0 | 0 | 0 | 0 | 0 | 44 | 0.021558 |
6bc877d2ff907a625b44f72caf624fa66d922ec9 | 839 | py | Python | examples/dhc/deduplication_approximated_example.py | fruttasecca/hay_checker | 2bbf4e8e90e0abc590dd74080fb6e4f445056354 | [
"MIT"
] | 2 | 2019-05-22T08:24:38.000Z | 2020-12-04T13:36:30.000Z | examples/dhc/deduplication_approximated_example.py | fruttasecca/hay_checker | 2bbf4e8e90e0abc590dd74080fb6e4f445056354 | [
"MIT"
] | null | null | null | examples/dhc/deduplication_approximated_example.py | fruttasecca/hay_checker | 2bbf4e8e90e0abc590dd74080fb6e4f445056354 | [
"MIT"
] | 3 | 2018-09-15T13:40:40.000Z | 2021-06-29T23:31:18.000Z | #!/usr/bin/python3
from pyspark.sql import SparkSession
from haychecker.dhc.metrics import deduplication_approximated
spark = SparkSession.builder.appName("Deduplication_approximated_example").getOrCreate()
df = spark.read.format("csv").option("header", "true").load("examples/resources/employees.csv")
df.show()
r1... | 32.269231 | 97 | 0.747318 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 352 | 0.419547 |
6bcafe8a760a06ba575713e54df859c88a35ea32 | 2,671 | py | Python | test.py | Tang-Jie-Chang/keras-maskrcnn | 2ad1380005265c4e3158858ae030b0039fd16eec | [
"Apache-2.0"
] | null | null | null | test.py | Tang-Jie-Chang/keras-maskrcnn | 2ad1380005265c4e3158858ae030b0039fd16eec | [
"Apache-2.0"
] | null | null | null | test.py | Tang-Jie-Chang/keras-maskrcnn | 2ad1380005265c4e3158858ae030b0039fd16eec | [
"Apache-2.0"
] | null | null | null | # import keras
import keras
# import keras_retinanet
from keras_maskrcnn import models
from keras_maskrcnn.utils.visualization import draw_mask
from keras_retinanet.utils.visualization import draw_box, draw_caption, draw_annotations
from keras_retinanet.utils.image import read_image_bgr, preprocess_image, resiz... | 34.688312 | 167 | 0.681767 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 891 | 0.333583 |
6bcb30fd29a6ef624f4b1ad7d00a496c9b08cdb4 | 6,611 | py | Python | leo/modes/lotos.py | ATikhonov2/leo-editor | 225aac990a9b2804aaa9dea29574d6e072e30474 | [
"MIT"
] | 1,550 | 2015-01-14T16:30:37.000Z | 2022-03-31T08:55:58.000Z | leo/modes/lotos.py | ATikhonov2/leo-editor | 225aac990a9b2804aaa9dea29574d6e072e30474 | [
"MIT"
] | 2,009 | 2015-01-13T16:28:52.000Z | 2022-03-31T18:21:48.000Z | leo/modes/lotos.py | ATikhonov2/leo-editor | 225aac990a9b2804aaa9dea29574d6e072e30474 | [
"MIT"
] | 200 | 2015-01-05T15:07:41.000Z | 2022-03-07T17:05:01.000Z | # Leo colorizer control file for lotos mode.
# This file is in the public domain.
# Properties for lotos mode.
properties = {
"commentEnd": "*)",
"commentStart": "(*",
"indentNextLines": "\\s*(let|library|process|specification|type|>>).*|\\s*(\\(|\\[\\]|\\[>|\\|\\||\\|\\|\\||\\|\\[.*\\]\\||\\[.*\\]\... | 29.513393 | 149 | 0.570867 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,435 | 0.368326 |
6bce53c9abe42e1145ff3c9feca2ddc25c7666a1 | 275 | py | Python | src/ProblemSolving/DiagonalDifference.py | Feng-Zhao/hackerrankPy | fc04f0a11cf543ad3697860eca774103593abcd5 | [
"Apache-2.0"
] | null | null | null | src/ProblemSolving/DiagonalDifference.py | Feng-Zhao/hackerrankPy | fc04f0a11cf543ad3697860eca774103593abcd5 | [
"Apache-2.0"
] | null | null | null | src/ProblemSolving/DiagonalDifference.py | Feng-Zhao/hackerrankPy | fc04f0a11cf543ad3697860eca774103593abcd5 | [
"Apache-2.0"
] | null | null | null | def diagonalDifference(arr):
a = 0
b = 0
for i in range(0, len(arr)):
a += arr[i][i]
b += arr[i][len(arr) - i - 1]
return abs(a - b)
if __name__ == '__main__':
arr = [[11, 2, 4],[4, 5, 6],[10, 8, -12]]
print(diagonalDifference(arr))
| 21.153846 | 45 | 0.490909 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.036364 |
6bcf37239c800dc8e2d66410da87a160446a390a | 296 | py | Python | robot/Cumulus/resources/BaseObjects.py | SFDO-Alliances/NPSP | 3711a3cf8e3124bc2d7e61644d6abecb4042004e | [
"BSD-3-Clause"
] | 413 | 2015-01-02T09:53:04.000Z | 2019-12-05T15:31:25.000Z | robot/Cumulus/resources/BaseObjects.py | SFDO-Alliances/NPSP | 3711a3cf8e3124bc2d7e61644d6abecb4042004e | [
"BSD-3-Clause"
] | 2,471 | 2015-01-02T03:33:55.000Z | 2019-12-13T17:55:10.000Z | robot/Cumulus/resources/BaseObjects.py | SFDO-Alliances/NPSP | 3711a3cf8e3124bc2d7e61644d6abecb4042004e | [
"BSD-3-Clause"
] | 296 | 2015-01-06T13:03:33.000Z | 2019-12-11T14:19:31.000Z | from robot.libraries.BuiltIn import BuiltIn
class BaseNPSPPage:
@property
def npsp(self):
return self.builtin.get_library_instance('NPSP')
@property
def pageobjects(self):
return self.builtin.get_library_instance("cumulusci.robotframework.PageObjects") | 24.666667 | 88 | 0.716216 | 250 | 0.844595 | 0 | 0 | 211 | 0.712838 | 0 | 0 | 44 | 0.148649 |
6bd0d6670874846404621cb14ddcf0728b11d685 | 1,395 | py | Python | balltze_simulation/balltze_pybullet/balltze/balltze.py | Kotochleb/Balltze | 55b15cb57d20f7f212293bf838e1d6cf874bb4c2 | [
"MIT"
] | 1 | 2021-09-04T03:59:01.000Z | 2021-09-04T03:59:01.000Z | balltze_simulation/balltze_pybullet/balltze/balltze.py | Kotochleb/Balltze | 55b15cb57d20f7f212293bf838e1d6cf874bb4c2 | [
"MIT"
] | null | null | null | balltze_simulation/balltze_pybullet/balltze/balltze.py | Kotochleb/Balltze | 55b15cb57d20f7f212293bf838e1d6cf874bb4c2 | [
"MIT"
] | null | null | null | import pybullet as p
import time
import numpy as np
import pybullet_data
from balltze_description import Balltze, BalltzeKinematics
import math
if __name__ == '__main__':
time_step = 1./240.
physicsClient = p.connect(p.GUI)
p.setAdditionalSearchPath(pybullet_data.getDataPath())
p.setGravity(0,0,-9.81)
... | 32.44186 | 154 | 0.597133 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 233 | 0.167025 |
6bd20797291e733d3485db7e9a7d16d42673718a | 8,850 | py | Python | urbit_sniffer.py | laanwj/urbit-tools | b3823d50d5ab84c0852593e3255c0d7c51de6d1c | [
"MIT"
] | 18 | 2015-02-03T19:27:18.000Z | 2021-04-04T03:03:57.000Z | urbit_sniffer.py | laanwj/urbit-tools | b3823d50d5ab84c0852593e3255c0d7c51de6d1c | [
"MIT"
] | null | null | null | urbit_sniffer.py | laanwj/urbit-tools | b3823d50d5ab84c0852593e3255c0d7c51de6d1c | [
"MIT"
] | 2 | 2015-10-02T01:37:13.000Z | 2017-06-04T03:41:49.000Z | #!/usr/bin/python3
# Copyright (c) 2014 Wladimir J. van der Laan, Visucore
# Distributed under the MIT software license, see
# http://www.opensource.org/licenses/mit-license.php.
'''
urbit UDP sniffer
Usage: urbit_sniffer.py [-p <port1>-<port2>,<port3>,...] [-i <interface>]
'''
import struct, sys, io, argparse, dateti... | 38.146552 | 165 | 0.599887 | 460 | 0.051966 | 0 | 0 | 0 | 0 | 0 | 0 | 2,136 | 0.241301 |
6bd258b97e010833aa36fdeb89edf6a7e0ee7073 | 2,556 | py | Python | Assignment_2_Pi/Pi_Archimedes/Pi_Archimedes.py | osccal/python-course | e815fd647fc5e5248188ed3976b62a181831e9ba | [
"MIT"
] | null | null | null | Assignment_2_Pi/Pi_Archimedes/Pi_Archimedes.py | osccal/python-course | e815fd647fc5e5248188ed3976b62a181831e9ba | [
"MIT"
] | null | null | null | Assignment_2_Pi/Pi_Archimedes/Pi_Archimedes.py | osccal/python-course | e815fd647fc5e5248188ed3976b62a181831e9ba | [
"MIT"
] | null | null | null | """
Python3 program to calculate pi to 100 places using Archimedes method
"""
from decimal import Decimal, getcontext
from time import time
def pi_archimedes(n):
"""
Calculate n iterations of Archimedes PI
"""
polygon_edge_length_squared = Decimal(2) # Decimal for precision
polygon_sides = 2
... | 54.382979 | 1,011 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 661 | 0.258607 |
6bd4306cbba78d516d0027f40cedd02fdc18d8f6 | 1,942 | py | Python | tests/test_transforms.py | luiarthur/advi | e461a08dcbd32836d15a3c276d27417cf619298c | [
"MIT"
] | 1 | 2020-04-04T12:58:18.000Z | 2020-04-04T12:58:18.000Z | tests/test_transforms.py | luiarthur/advi | e461a08dcbd32836d15a3c276d27417cf619298c | [
"MIT"
] | null | null | null | tests/test_transforms.py | luiarthur/advi | e461a08dcbd32836d15a3c276d27417cf619298c | [
"MIT"
] | null | null | null | import unittest
import torch
import advi.transformations as trans
class Test_Transformations(unittest.TestCase):
def approx(self, a, b, eps=1E-8):
self.assertTrue(abs(a - b) < eps)
def test_bounded(self):
p = torch.tensor(.5)
self.assertTrue(trans.logit(p) == 0)
q = torch.ten... | 33.482759 | 74 | 0.589083 | 1,823 | 0.938723 | 0 | 0 | 0 | 0 | 0 | 0 | 199 | 0.102472 |
6bd54aeda1cf3aa43806abaf7f0e2dafeca01c0d | 1,638 | py | Python | app/tests/v1/test_product.py | owezzy/StoreManager | 821856c0d502b55bd499cfe9188cd4951c5b0b75 | [
"MIT"
] | null | null | null | app/tests/v1/test_product.py | owezzy/StoreManager | 821856c0d502b55bd499cfe9188cd4951c5b0b75 | [
"MIT"
] | 2 | 2018-10-10T22:32:35.000Z | 2021-06-01T22:50:56.000Z | app/tests/v1/test_product.py | owezzy/StoreManager | 821856c0d502b55bd499cfe9188cd4951c5b0b75 | [
"MIT"
] | 1 | 2018-10-25T12:42:41.000Z | 2018-10-25T12:42:41.000Z | import unittest
import json
from app.app import create_app
POST_PRODUCT_URL = '/api/v1/products'
GET_A_SINGLE_PRODUCT = '/api/v1/product/1'
GET_ALL_PRODUCTS = '/api/v1/products'
class TestProduct(unittest.TestCase):
def setUp(self):
"""Initialize the api with test variable"""
self.app = create_... | 30.333333 | 72 | 0.623321 | 1,406 | 0.858364 | 0 | 0 | 0 | 0 | 0 | 0 | 301 | 0.183761 |
6bd88438849c3a76c7d468249205380ab8ab8c38 | 1,346 | py | Python | cryptoshredding/s3/client.py | hupe1980/cryptoshredding | 1ab5ee452c4435f486006aa2cc1a7bee440d91fe | [
"MIT"
] | null | null | null | cryptoshredding/s3/client.py | hupe1980/cryptoshredding | 1ab5ee452c4435f486006aa2cc1a7bee440d91fe | [
"MIT"
] | null | null | null | cryptoshredding/s3/client.py | hupe1980/cryptoshredding | 1ab5ee452c4435f486006aa2cc1a7bee440d91fe | [
"MIT"
] | null | null | null | import boto3
from botocore.client import BaseClient
from ..key_store import KeyStore
from .object import CryptoObject
from .stream_body_wrapper import StreamBodyWrapper
class CryptoS3(object):
def __init__(
self,
client: BaseClient,
key_store: KeyStore,
) -> None:
self._client... | 31.302326 | 88 | 0.641902 | 1,173 | 0.871471 | 0 | 0 | 0 | 0 | 0 | 0 | 380 | 0.282318 |
6bd9272def1931c3aead22a640fadc1a05f50b8f | 5,627 | py | Python | tests/infra/test_subnet.py | bretttegart/treadmill | 812109e31c503a6eddaee2d3f2e1faf2833b6aaf | [
"Apache-2.0"
] | 2 | 2017-10-31T18:48:20.000Z | 2018-03-04T20:35:20.000Z | tests/infra/test_subnet.py | bretttegart/treadmill | 812109e31c503a6eddaee2d3f2e1faf2833b6aaf | [
"Apache-2.0"
] | null | null | null | tests/infra/test_subnet.py | bretttegart/treadmill | 812109e31c503a6eddaee2d3f2e1faf2833b6aaf | [
"Apache-2.0"
] | null | null | null | """
Unit test for EC2 subnet.
"""
import unittest
import mock
from treadmill.infra.subnet import Subnet
class SubnetTest(unittest.TestCase):
@mock.patch('treadmill.infra.connection.Connection')
def test_init(self, ConnectionMock):
conn_mock = ConnectionMock()
Subnet.ec2_conn = Subnet.route5... | 30.090909 | 78 | 0.563355 | 5,518 | 0.980629 | 0 | 0 | 5,440 | 0.966767 | 0 | 0 | 959 | 0.170428 |
6bdac7bc37d6267a61f05383477b3f0ca7a95eab | 5,138 | py | Python | tests/building/test_tokenization.py | fossabot/langumo | 2d8b30979878bb27fb07cc31879c13c5c186582c | [
"Apache-2.0"
] | 7 | 2020-09-05T08:30:25.000Z | 2021-11-01T14:07:58.000Z | tests/building/test_tokenization.py | fossabot/langumo | 2d8b30979878bb27fb07cc31879c13c5c186582c | [
"Apache-2.0"
] | 2 | 2020-09-11T14:19:47.000Z | 2021-03-05T17:22:21.000Z | tests/building/test_tokenization.py | fossabot/langumo | 2d8b30979878bb27fb07cc31879c13c5c186582c | [
"Apache-2.0"
] | 3 | 2020-09-11T14:16:06.000Z | 2021-10-31T14:18:10.000Z | import tempfile
from langumo.building import TrainTokenizer, TokenizeSentences
from langumo.utils import AuxiliaryFileManager
_dummy_corpus_content = (
'Wikipedia is a multilingual online encyclopedia created and maintained '
'as an open collaboration project by a community of volunteer editors '
'using a... | 47.137615 | 79 | 0.665434 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,838 | 0.552248 |
6bdb7b37ea55baaa1973a1fff39476ce6ea71851 | 12,819 | py | Python | examples/BertNewsClassification/news_classifier.py | mlflow/mlflow-torchserve | 91663b630ef12313da3ad821767faf3fc409345b | [
"Apache-2.0"
] | 40 | 2020-11-13T02:08:10.000Z | 2022-03-27T07:41:57.000Z | examples/BertNewsClassification/news_classifier.py | Ideas2IT/mlflow-torchserve | d6300fb73f16d74ee2c7718c249faf485c4f3b62 | [
"Apache-2.0"
] | 23 | 2020-11-16T11:28:01.000Z | 2021-09-23T11:28:24.000Z | examples/BertNewsClassification/news_classifier.py | Ideas2IT/mlflow-torchserve | d6300fb73f16d74ee2c7718c249faf485c4f3b62 | [
"Apache-2.0"
] | 15 | 2020-11-13T10:25:25.000Z | 2022-02-01T10:13:20.000Z | # pylint: disable=W0221
# pylint: disable=W0613
# pylint: disable=E1102
# pylint: disable=W0223
import shutil
from collections import defaultdict
import numpy as np
import pandas as pd
import torch
import torch.nn.functional as F
from sklearn.model_selection import train_test_split
from torch import nn
from torch.utils... | 32.289673 | 99 | 0.620095 | 10,538 | 0.822061 | 0 | 0 | 99 | 0.007723 | 0 | 0 | 2,865 | 0.223496 |
6bdbc0070f7b68477be910727f103f97f2f7c5f9 | 23 | py | Python | nerddiary/__init__.py | mishamsk/nerddiary | 2d0981c5034460f353c2994347fb95a5c94a55bd | [
"Apache-2.0"
] | null | null | null | nerddiary/__init__.py | mishamsk/nerddiary | 2d0981c5034460f353c2994347fb95a5c94a55bd | [
"Apache-2.0"
] | 5 | 2022-02-20T06:10:28.000Z | 2022-03-28T03:22:41.000Z | nerddiary/__init__.py | mishamsk/nerddiary | 2d0981c5034460f353c2994347fb95a5c94a55bd | [
"Apache-2.0"
] | null | null | null | __version__ = "0.2.2b"
| 11.5 | 22 | 0.652174 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0.347826 |
6bdcdf872b440de0263c9a18d6e09d85b322ab4c | 272 | py | Python | src/lib/fibonacci.py | lastnamevega/fastapi-demo | c2911c3e4d764c27e5ccf540ddc2d3c9bbc624a6 | [
"MIT"
] | null | null | null | src/lib/fibonacci.py | lastnamevega/fastapi-demo | c2911c3e4d764c27e5ccf540ddc2d3c9bbc624a6 | [
"MIT"
] | null | null | null | src/lib/fibonacci.py | lastnamevega/fastapi-demo | c2911c3e4d764c27e5ccf540ddc2d3c9bbc624a6 | [
"MIT"
] | null | null | null | def fibonacci(desired_index: int):
if desired_index < 0:
raise ValueError(f'{desired_index} is less than 0')
values = [0, 1]
for i in range(2, desired_index + 1):
values.append(values[i - 1] + values[i - 2])
return values[desired_index]
| 24.727273 | 59 | 0.628676 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 0.121324 |
6bde8a8095cceac04979671e29124bd410698f7c | 3,716 | py | Python | src/toil/lib/aws/utils.py | rupertnash/toil | fd805d5fa14cca98f2bc64b322a4b546e163d6c9 | [
"Apache-2.0"
] | 6 | 2018-05-27T05:09:11.000Z | 2020-07-01T17:02:40.000Z | src/toil/lib/aws/utils.py | rupertnash/toil | fd805d5fa14cca98f2bc64b322a4b546e163d6c9 | [
"Apache-2.0"
] | 1 | 2020-07-01T18:31:30.000Z | 2020-07-08T14:03:39.000Z | src/toil/lib/aws/utils.py | rupertnash/toil | fd805d5fa14cca98f2bc64b322a4b546e163d6c9 | [
"Apache-2.0"
] | 1 | 2020-04-06T15:04:44.000Z | 2020-04-06T15:04:44.000Z | # Copyright (C) 2015-2021 Regents of the University of California
#
# 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 app... | 45.876543 | 110 | 0.741389 | 0 | 0 | 0 | 0 | 2,784 | 0.749193 | 0 | 0 | 1,388 | 0.37352 |
6bdeffb0d14dc1d4dca20f695831236be20df06b | 3,389 | py | Python | src/data/processed_data.py | Victoradukwu/titanic | 18a4e8fe7dbe755a946512ca71b1d2a2f5932c64 | [
"MIT"
] | null | null | null | src/data/processed_data.py | Victoradukwu/titanic | 18a4e8fe7dbe755a946512ca71b1d2a2f5932c64 | [
"MIT"
] | null | null | null | src/data/processed_data.py | Victoradukwu/titanic | 18a4e8fe7dbe755a946512ca71b1d2a2f5932c64 | [
"MIT"
] | null | null | null | import os
import numpy as np
import pandas as pd
def read_data():
raw_data_path = os.path.join(os.path.pardir, 'data', 'raw')
train_file_path = os.path.join(raw_data_path, 'train.csv')
test_file_path = os.path.join(raw_data_path, 'test.csv')
train_df = pd.read_csv(train_file_path, index_col = 'Pa... | 33.554455 | 130 | 0.59044 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 669 | 0.197403 |
6be02c0cdca45be2d0933fe3cbd070df05fee26e | 59,336 | py | Python | clustergrammer/upload_pages/clustergrammer_old.py | delosrogers/clustergrammer-web | 14102cfca328214d3bc8285e8331663fe0e5fad4 | [
"MIT"
] | 5 | 2018-04-04T16:25:06.000Z | 2021-04-10T23:47:20.000Z | clustergrammer/upload_pages/clustergrammer_old.py | delosrogers/clustergrammer-web | 14102cfca328214d3bc8285e8331663fe0e5fad4 | [
"MIT"
] | 8 | 2016-07-16T02:55:12.000Z | 2022-02-02T16:42:17.000Z | clustergrammer/upload_pages/clustergrammer_old.py | delosrogers/clustergrammer-web | 14102cfca328214d3bc8285e8331663fe0e5fad4 | [
"MIT"
] | 4 | 2019-05-28T08:52:41.000Z | 2021-01-11T22:14:48.000Z | # define a class for networks
class Network(object):
'''
Networks have two states: the data state where they are stored as: matrix and
nodes and a viz state where they are stored as: viz.links, viz.row_nodes, viz.
col_nodes.
The goal is to start in a data-state and produce a viz-state of the network
that... | 31.528162 | 130 | 0.603546 | 59,301 | 0.99941 | 0 | 0 | 5,355 | 0.090249 | 0 | 0 | 21,566 | 0.363456 |
6be28791480695f18cfb74b2706fdb1c647fff80 | 523 | py | Python | May 2019/brick_sort.py | Gern-Yataro/Daily-CS | 194e8c2b23964300f39a8ed4f06d355360197766 | [
"MIT"
] | 1 | 2019-04-15T01:09:04.000Z | 2019-04-15T01:09:04.000Z | May 2019/brick_sort.py | Gern-Yataro/Daily-CS | 194e8c2b23964300f39a8ed4f06d355360197766 | [
"MIT"
] | null | null | null | May 2019/brick_sort.py | Gern-Yataro/Daily-CS | 194e8c2b23964300f39a8ed4f06d355360197766 | [
"MIT"
] | null | null | null | numbers = [9, 8, 7, 6, 5, 4, 3, 2, 1]
def brick_sort(array):
n = len(array)-1
swapped = True
while swapped == True:
swapped = False
for index in range(0, n, 2):
if array[index] > array[index+1]:
array[index], array[index+1] = array[index+1], array[index]
swapped = True
f... | 23.772727 | 67 | 0.581262 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6be3244eac9c140c3d63372c0ad3149ef60a64c1 | 1,676 | py | Python | sanctuary/topic/api.py | 20CM/Sanctuary | 14694d9bd6376bdc05248741a91df778400e9f66 | [
"BSD-3-Clause"
] | 1 | 2017-05-29T11:53:06.000Z | 2017-05-29T11:53:06.000Z | sanctuary/topic/api.py | 20CM/Sanctuary | 14694d9bd6376bdc05248741a91df778400e9f66 | [
"BSD-3-Clause"
] | null | null | null | sanctuary/topic/api.py | 20CM/Sanctuary | 14694d9bd6376bdc05248741a91df778400e9f66 | [
"BSD-3-Clause"
] | null | null | null | from rest_framework import status
from rest_framework.response import Response
from rest_framework.permissions import BasePermission, SAFE_METHODS, IsAuthenticatedOrReadOnly
from .models import Topic, Reply
from sanctuary.viewsets import NoDestroyModelViewSet
from .serializers import TopicSerializer, ReplySerializer
... | 35.659574 | 94 | 0.755967 | 1,345 | 0.802506 | 0 | 0 | 0 | 0 | 0 | 0 | 77 | 0.045943 |
6be3f12ed534c88956efb0cde9bfba8da5449ad9 | 1,113 | py | Python | server/face_recogniser.py | fvalle1/ai_server | 0bbb2b842a329ca8bbeb6529a2008b61dcc77cc0 | [
"MIT"
] | 1 | 2021-03-10T15:37:21.000Z | 2021-03-10T15:37:21.000Z | server/face_recogniser.py | fvalle1/ai_server | 0bbb2b842a329ca8bbeb6529a2008b61dcc77cc0 | [
"MIT"
] | null | null | null | server/face_recogniser.py | fvalle1/ai_server | 0bbb2b842a329ca8bbeb6529a2008b61dcc77cc0 | [
"MIT"
] | null | null | null | import cv2 as cv
from model import model
class face_recogniser(model):
def __init__(self):
super()
self.net = cv.dnn.readNet('/home/pi/inception/face-detection-adas-0001.xml','/home/pi/inception/face-detection-adas-0001.bin')
self.net.setPreferableTarget(cv.dnn.DNN_TARGET_MYRIAD)
def a... | 39.75 | 134 | 0.615454 | 1,070 | 0.961366 | 0 | 0 | 0 | 0 | 0 | 0 | 179 | 0.160827 |
6be456b6f75f64cea006c0e15110ea8fb947a3b6 | 503 | py | Python | code/countries_centroids.py | loris2222/ChocoData | d5b8c49f201228dd55db03dbdbafcbe846e36200 | [
"MIT"
] | null | null | null | code/countries_centroids.py | loris2222/ChocoData | d5b8c49f201228dd55db03dbdbafcbe846e36200 | [
"MIT"
] | null | null | null | code/countries_centroids.py | loris2222/ChocoData | d5b8c49f201228dd55db03dbdbafcbe846e36200 | [
"MIT"
] | null | null | null | from geopy.exc import GeocoderTimedOut
from geopy.geocoders import Nominatim
import numpy as np
import pandas as pd
# function to find the coordinate
# of a given city
def find_geocode(city):
try:
# Specify the user_agent as your
# app name it should not be none
geolocator = Nominatim(user... | 23.952381 | 58 | 0.72167 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 136 | 0.270378 |
6be4827cb6db3797b4e0960a8f9afb82862b44ab | 2,783 | py | Python | tests/test_cpymadtools/test_generators.py | fsoubelet/PyhDToolk | aef9d5f1fac2d4c4307d50ba5c53f6a5eb635a66 | [
"MIT"
] | 5 | 2020-05-28T09:16:01.000Z | 2021-12-27T18:59:15.000Z | tests/test_cpymadtools/test_generators.py | fsoubelet/PyhDToolk | aef9d5f1fac2d4c4307d50ba5c53f6a5eb635a66 | [
"MIT"
] | 71 | 2020-02-20T20:32:43.000Z | 2022-03-24T17:04:28.000Z | tests/test_cpymadtools/test_generators.py | fsoubelet/PyhDToolk | aef9d5f1fac2d4c4307d50ba5c53f6a5eb635a66 | [
"MIT"
] | 2 | 2021-09-28T16:01:06.000Z | 2022-03-16T19:04:23.000Z | import random
import pytest
from pyhdtoolkit.cpymadtools.generators import LatticeGenerator
class TestLatticeGenerator:
def test_base_cas_lattice_generation(self):
base_cas_lattice = LatticeGenerator.generate_base_cas_lattice()
assert isinstance(base_cas_lattice, str)
assert len(base_cas... | 42.166667 | 100 | 0.680201 | 2,686 | 0.965146 | 0 | 0 | 1,731 | 0.621991 | 0 | 0 | 233 | 0.083723 |
6be4e81e9d40d83f06f1cfa243fa8007e8370a2f | 1,789 | py | Python | preprocessing/act_bed_construction.py | shtoneyan/sea-lion | 7e1ce9a18a147eea42e6172a2329d696f6e6aef9 | [
"MIT"
] | 1 | 2022-02-10T21:21:32.000Z | 2022-02-10T21:21:32.000Z | preprocessing/act_bed_construction.py | shtoneyan/sea-lion | 7e1ce9a18a147eea42e6172a2329d696f6e6aef9 | [
"MIT"
] | null | null | null | preprocessing/act_bed_construction.py | shtoneyan/sea-lion | 7e1ce9a18a147eea42e6172a2329d696f6e6aef9 | [
"MIT"
] | null | null | null | import pandas as pd
import re
import sys
#read bed file
#constructure acitivity table
#output tfr file
def main():
bed_file = sys.argv[1]
act_table = sys.argv[2]
data = pd.read_csv(act_table,sep = '\t')
data.rename(columns={'Unnamed: 0':'loci'}, inplace=True)
chrom = [i.split(':')[... | 28.854839 | 66 | 0.567915 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 525 | 0.29346 |
6be8cef9f2811735b313ed8611fa3362dad56bc1 | 2,072 | py | Python | aiserver/backup/simpleserver2.py | hirasaki1985/Oreilly_deepLearning | 378b60ccec67dc616669fcd65ad14c7eddae6767 | [
"MIT"
] | null | null | null | aiserver/backup/simpleserver2.py | hirasaki1985/Oreilly_deepLearning | 378b60ccec67dc616669fcd65ad14c7eddae6767 | [
"MIT"
] | null | null | null | aiserver/backup/simpleserver2.py | hirasaki1985/Oreilly_deepLearning | 378b60ccec67dc616669fcd65ad14c7eddae6767 | [
"MIT"
] | null | null | null | import sys, socket
import json
import cgi
try:
from StringIO import StringIO
except ImportError:
from io import StringIO
import numpy as np
from http.server import BaseHTTPRequestHandler, HTTPServer
from modules.controller import Controller
# setting
host = ''
port = 8000
class MyHandler(BaseHT... | 25.9 | 89 | 0.586873 | 1,602 | 0.762131 | 0 | 0 | 0 | 0 | 0 | 0 | 502 | 0.23882 |
6bedb7df070733efc849ec3f70b009e7c5d82ea3 | 1,214 | py | Python | get_machine_id.py | Server-Factory/Parallels-Utils | 9b5c724b59832abf0506c5f632b0122573e71cd7 | [
"Apache-2.0"
] | 1 | 2021-01-01T23:24:31.000Z | 2021-01-01T23:24:31.000Z | get_machine_id.py | Server-Factory/Parallels-Utils | 9b5c724b59832abf0506c5f632b0122573e71cd7 | [
"Apache-2.0"
] | null | null | null | get_machine_id.py | Server-Factory/Parallels-Utils | 9b5c724b59832abf0506c5f632b0122573e71cd7 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
import subprocess
import sys
def main():
if len(sys.argv) > 1:
machines = dict()
image = sys.argv[1]
row_home = "Home:"
row_id_open = "{"
row_id_close = "}"
output = subprocess.check_output(['prlctl', 'list', '-a', '-i'])
items = str(output... | 28.904762 | 99 | 0.490939 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 118 | 0.097199 |
6bf3184d75c0305e0ed63aa9eb50baca989c89e5 | 1,813 | py | Python | Books/DeepLearningLearningFromTheFounderOfKeras/chapter7/sub7_2_2.py | Tim232/Python-Things | 05f0f373a4cf298e70d9668c88a6e3a9d1cd8146 | [
"MIT"
] | 2 | 2020-12-05T07:42:55.000Z | 2021-01-06T23:23:18.000Z | Books/DeepLearningLearningFromTheFounderOfKeras/chapter7/sub7_2_2.py | Tim232/Python-Things | 05f0f373a4cf298e70d9668c88a6e3a9d1cd8146 | [
"MIT"
] | null | null | null | Books/DeepLearningLearningFromTheFounderOfKeras/chapter7/sub7_2_2.py | Tim232/Python-Things | 05f0f373a4cf298e70d9668c88a6e3a9d1cd8146 | [
"MIT"
] | null | null | null | #-*-coding: utf-8-*-
#todo p.333 ~ p.340
#todo code 7-7 ~ code 7-9
#todo 7.2.2 텐서보드 소개: 텐서플로의 시각화 프레임워크
import os
import keras
from keras import layers
from keras.datasets import imdb
from keras.preprocessing import sequence
max_features = 2000 # 특성으로 사용할 단어의 수
max_len = 500 # 사용할 텍스트의 길이
(x_train, y_train), (x_te... | 31.258621 | 110 | 0.661335 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 501 | 0.252139 |
6bf3a11f4eaf5ef256dd41b159fcdf1ed04aaca8 | 12,158 | py | Python | transform/preprocess/student_preprocess.py | WillianFuks/papis19 | 479c5460218c8f02716dbd5c2b0b9121a4328ab0 | [
"Apache-2.0"
] | 4 | 2019-06-24T13:20:22.000Z | 2020-11-12T01:19:02.000Z | transform/preprocess/student_preprocess.py | WillianFuks/papis19 | 479c5460218c8f02716dbd5c2b0b9121a4328ab0 | [
"Apache-2.0"
] | 7 | 2019-12-16T21:55:20.000Z | 2022-02-10T00:16:54.000Z | transform/preprocess/student_preprocess.py | WillianFuks/papis19 | 479c5460218c8f02716dbd5c2b0b9121a4328ab0 | [
"Apache-2.0"
] | 8 | 2019-06-24T12:27:51.000Z | 2021-04-20T18:33:24.000Z | # Copyright 2019 Willian Fuks
#
# 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,... | 31.661458 | 89 | 0.618358 | 239 | 0.019658 | 195 | 0.016039 | 0 | 0 | 0 | 0 | 4,577 | 0.37646 |
6bf3c5d43692793eab438e1d78d5c5d9f2609b80 | 114 | py | Python | material/assignment1/csv_example.py | mpambasange/MachineLearning | 8b813345264513a57934317b01e1311628dc5b01 | [
"MIT"
] | 16 | 2016-09-01T08:50:59.000Z | 2022-02-15T20:56:07.000Z | material/assignment1/csv_example.py | olehermanse/INF3490-PythonAI | 8b813345264513a57934317b01e1311628dc5b01 | [
"MIT"
] | 2 | 2016-10-20T09:36:19.000Z | 2017-08-29T00:28:54.000Z | material/assignment1/csv_example.py | olehermanse/INF3490-PythonAI | 8b813345264513a57934317b01e1311628dc5b01 | [
"MIT"
] | 15 | 2016-10-31T12:30:37.000Z | 2021-03-15T12:12:50.000Z | import csv
with open("european_cities.csv", "r") as f:
data = list(csv.reader(f, delimiter=';'))
print(data)
| 19 | 45 | 0.657895 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0.236842 |
6bf4ad195f97897af7bd9a29940a148f1e9542dc | 271 | py | Python | spacy_lookup/about.py | BasileDjigg/spacy-lookup | 16929120d03fa1215f574286072377f10b7e089b | [
"MIT"
] | null | null | null | spacy_lookup/about.py | BasileDjigg/spacy-lookup | 16929120d03fa1215f574286072377f10b7e089b | [
"MIT"
] | null | null | null | spacy_lookup/about.py | BasileDjigg/spacy-lookup | 16929120d03fa1215f574286072377f10b7e089b | [
"MIT"
] | null | null | null | __title__ = 'spacy-lookup'
__version__ = '0.0.1'
__summary__ = 'spaCy pipeline component for Named Entity Recognition based on dictionaries.'
__url__ = 'https://github.com/mpuig/spacy-lookup'
__author__ = 'Marc Puig'
__email__ = 'marc.puig@gmail.com'
__license__ = 'MIT'
| 33.875 | 92 | 0.756458 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 175 | 0.645756 |
6bf66439de1fb3ae4352db93cc562648f32d838f | 751 | py | Python | leetcode/p690.py | mythnc/lab | 9f69482a063e3cfce2ce8832c2ef1425658c31b9 | [
"MIT"
] | null | null | null | leetcode/p690.py | mythnc/lab | 9f69482a063e3cfce2ce8832c2ef1425658c31b9 | [
"MIT"
] | null | null | null | leetcode/p690.py | mythnc/lab | 9f69482a063e3cfce2ce8832c2ef1425658c31b9 | [
"MIT"
] | null | null | null | # https://leetcode.com/problems/employee-importance/
"""
# Definition for Employee.
class Employee:
def __init__(self, id: int, importance: int, subordinates: List[int]):
self.id = id
self.importance = importance
self.subordinates = subordinates
"""
class Solution:
def getImportance(sel... | 28.884615 | 74 | 0.559254 | 471 | 0.627164 | 0 | 0 | 0 | 0 | 0 | 0 | 286 | 0.380826 |
6bf727625ea059c4f0a7f91f758f96269dcdd254 | 3,916 | py | Python | python/ranking/examples/fess/train_model.py | codelibs/logana | 48b475e9fd5224821bfba7d41e755d8d64806651 | [
"Apache-2.0"
] | 2 | 2020-09-30T12:42:28.000Z | 2020-11-04T01:34:20.000Z | python/ranking/examples/fess/train_model.py | codelibs/logana | 48b475e9fd5224821bfba7d41e755d8d64806651 | [
"Apache-2.0"
] | null | null | null | python/ranking/examples/fess/train_model.py | codelibs/logana | 48b475e9fd5224821bfba7d41e755d8d64806651 | [
"Apache-2.0"
] | null | null | null | import dataclasses
import datetime
import gzip
import json
import logging
import os
from typing import Any, Dict
import numpy as np
import tensorflow as tf
from absl import flags
from loganary.ranking.common import NumpyJsonEncoder, setup_logging, setup_seed
from loganary.ranking.model import (
RankingModel,
R... | 34.350877 | 87 | 0.671348 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 991 | 0.253064 |
6bffc6fb525922ad40eb7287ee43188f6f55ec06 | 615 | py | Python | shortner/migrations/0005_auto_20200407_1237.py | OakNinja/shortner | 8b051f4d74dc70bccd62e983ce300f8115cc72c8 | [
"BSD-3-Clause"
] | 1 | 2020-04-29T15:02:14.000Z | 2020-04-29T15:02:14.000Z | shortner/migrations/0005_auto_20200407_1237.py | OakNinja/shortner | 8b051f4d74dc70bccd62e983ce300f8115cc72c8 | [
"BSD-3-Clause"
] | null | null | null | shortner/migrations/0005_auto_20200407_1237.py | OakNinja/shortner | 8b051f4d74dc70bccd62e983ce300f8115cc72c8 | [
"BSD-3-Clause"
] | 1 | 2020-04-29T07:05:00.000Z | 2020-04-29T07:05:00.000Z | # Generated by Django 3.0.5 on 2020-04-07 12:37
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('shortner', '0004_auto_20... | 27.954545 | 145 | 0.682927 | 456 | 0.741463 | 0 | 0 | 0 | 0 | 0 | 0 | 107 | 0.173984 |
d40116f3963560e5bc86c79d514d9d85b3020138 | 22,630 | py | Python | build-fortress.py | DFIRmadness/infosec-fortress | cc20c5c5ecf5194fdd270e7accdf927b71ed2952 | [
"MIT"
] | 33 | 2021-06-22T01:42:06.000Z | 2022-03-27T14:41:44.000Z | build-fortress.py | ED-209-MK7/infosec-fortress | cc20c5c5ecf5194fdd270e7accdf927b71ed2952 | [
"MIT"
] | 1 | 2021-06-24T09:10:03.000Z | 2021-06-28T13:25:59.000Z | build-fortress.py | ED-209-MK7/infosec-fortress | cc20c5c5ecf5194fdd270e7accdf927b71ed2952 | [
"MIT"
] | 5 | 2021-06-23T08:04:22.000Z | 2022-03-27T14:41:45.000Z | #!/bin/python3
'''
Title: build-fortress.py
Purpose: Build the infosec-fortress
Author: James Smith (DFIRmadness)
Contributors: Check the github page.
Notes: Beta
Version: 0.5
Usage: ./build-fortress.py
Functions:
+ apt update
+ dist upgrade
+ install base packages
+ create /opt/infosec-fortress
+ start log
+ install ... | 40.996377 | 210 | 0.644057 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12,408 | 0.548299 |
d4051d0a2b00e9998b74b852734dd381524320f3 | 955 | py | Python | substance/constants.py | philraj/substance | c68c8343e22fd2ac1e83b7567140c2a20f417984 | [
"Apache-2.0"
] | null | null | null | substance/constants.py | philraj/substance | c68c8343e22fd2ac1e83b7567140c2a20f417984 | [
"Apache-2.0"
] | null | null | null | substance/constants.py | philraj/substance | c68c8343e22fd2ac1e83b7567140c2a20f417984 | [
"Apache-2.0"
] | null | null | null |
class Constants(object):
class ConstError(TypeError):
pass
def __init__(self, **kwargs):
for name, value in list(kwargs.items()):
super(Constants, self).__setattr__(name, value)
def __setattr__(self, name, value):
if name in self.__dist__:
raise self.Const... | 20.76087 | 66 | 0.618848 | 558 | 0.584293 | 0 | 0 | 0 | 0 | 0 | 0 | 172 | 0.180105 |
d4051f0da6a3085bed81c035499b45d737816f30 | 12,482 | py | Python | scripts/identify_taxonomic_trees.py | AtilioA/wikidata-evaluation-based-on-ontologies | b726cc40a80312e92e7aa42fc24f1eee21bc40be | [
"Unlicense"
] | 2 | 2020-12-06T21:57:36.000Z | 2020-12-11T16:07:00.000Z | scripts/identify_taxonomic_trees.py | AtilioA/wikidata-evaluation-based-on-ontologies | b726cc40a80312e92e7aa42fc24f1eee21bc40be | [
"Unlicense"
] | null | null | null | scripts/identify_taxonomic_trees.py | AtilioA/wikidata-evaluation-based-on-ontologies | b726cc40a80312e92e7aa42fc24f1eee21bc40be | [
"Unlicense"
] | null | null | null | import time
import json
import sys
from pathlib import Path
from pprint import pprint
import wikidata_utils
from graphviz import Digraph
NL = "\n"
def find_subclasses_between(subclass, superclass):
# Query Stardog for subclasses
subclassesJSON = wikidata_utils.query_subclasses_stardog(superclass, subclass)[... | 37.371257 | 174 | 0.539337 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,276 | 0.342573 |
d405da66dfc30f0e0e30d4963515d7ec89e1c3ae | 3,620 | py | Python | harakiri/model.py | ManjiKR/Harakiri | dba9fd7c63e54cf319549a15795e7a4782df8fd0 | [
"Apache-2.0"
] | null | null | null | harakiri/model.py | ManjiKR/Harakiri | dba9fd7c63e54cf319549a15795e7a4782df8fd0 | [
"Apache-2.0"
] | null | null | null | harakiri/model.py | ManjiKR/Harakiri | dba9fd7c63e54cf319549a15795e7a4782df8fd0 | [
"Apache-2.0"
] | null | null | null | from typing import Any, Iterator, List
class SkillInfo:
def __init__(self, **data: Any) -> None:
self.__command = data["Command"]
self.__hit_level = data["Hit level"]
self.__damage = data["Damage"]
self.__startup_frame = data["Start up frame"]
self.__block_frame = data["Blo... | 22.911392 | 60 | 0.594199 | 3,563 | 0.984254 | 236 | 0.065193 | 1,937 | 0.535083 | 0 | 0 | 258 | 0.071271 |
d405f66eb96aad36fd4897d6d6488e602b579c70 | 162 | py | Python | eviction_tracker/detainer_warrants/caselink/constants/ids.py | gregziegan/eviction-tracker | 4db4bacb9675f985cf2f4a747855491e9036ad28 | [
"BSD-3-Clause"
] | 5 | 2021-09-15T08:06:59.000Z | 2022-01-26T21:25:50.000Z | eviction_tracker/detainer_warrants/caselink/constants/ids.py | gregziegan/eviction-tracker | 4db4bacb9675f985cf2f4a747855491e9036ad28 | [
"BSD-3-Clause"
] | 18 | 2022-01-14T17:15:53.000Z | 2022-02-14T07:33:53.000Z | eviction_tracker/detainer_warrants/caselink/constants/ids.py | thebritican/eviction-tracker | 1e34d509b0410d61de6abd6be521c53951fa038a | [
"BSD-3-Clause"
] | 1 | 2021-09-15T01:46:57.000Z | 2021-09-15T01:46:57.000Z | # Frames
UPDATE_FRAME = 'update'
POSTBACK_FRAME = 'postback'
# Login
USERNAME_LOGIN_FIELD = 'OPERCODE'
PASSWORD_LOGIN_FIELD = 'PASSWD'
LOGIN_BUTTON = 'LogInSub'
| 18 | 33 | 0.771605 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 61 | 0.376543 |
d4064fd610eae924f03892b2d599dd0687c7269d | 913 | py | Python | dist/weewx-4.0.0b5/bin/weewx/junk.py | v0rts/docker-weewx | 70b2f252051dfead4fcb74e74662b297831e6342 | [
"Apache-2.0"
] | 10 | 2017-01-05T17:30:48.000Z | 2021-09-18T15:04:20.000Z | dist/weewx-4.0.0b5/bin/weewx/junk.py | v0rts/docker-weewx | 70b2f252051dfead4fcb74e74662b297831e6342 | [
"Apache-2.0"
] | 2 | 2019-07-21T10:48:42.000Z | 2022-02-16T20:36:45.000Z | dist/weewx-4.0.0b5/bin/weewx/junk.py | v0rts/docker-weewx | 70b2f252051dfead4fcb74e74662b297831e6342 | [
"Apache-2.0"
] | 12 | 2017-01-05T18:50:30.000Z | 2021-10-05T07:35:45.000Z | import weewx
class MyTypes(object):
def get_value(self, obs_type, record, db_manager):
if obs_type == 'dewpoint':
if record['usUnits'] == weewx.US:
return weewx.wxformulas.dewpointF(record.get('outTemp'), record.get('outHumidity'))
elif record['usUnits'] == weewx.... | 32.607143 | 99 | 0.591457 | 896 | 0.98138 | 0 | 0 | 0 | 0 | 0 | 0 | 129 | 0.141292 |