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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
248892eac1e0a2c6110682fef0f6ec29d697f548 | 11,432 | py | Python | main_big.py | giorgosouz/HSI-classification-using-state-of-the-art-models | a925972ffe02c2cd1e5dde2b163e1faa854a4966 | [
"MIT"
] | null | null | null | main_big.py | giorgosouz/HSI-classification-using-state-of-the-art-models | a925972ffe02c2cd1e5dde2b163e1faa854a4966 | [
"MIT"
] | null | null | null | main_big.py | giorgosouz/HSI-classification-using-state-of-the-art-models | a925972ffe02c2cd1e5dde2b163e1faa854a4966 | [
"MIT"
] | null | null | null |
import torch
import torch.utils.data as data
from torchsummary import summary
from datasets import get_dataset, HyperX,sHyperX
from models import get_model, train,test
from utils import sample_gt,get_device,metrics,compute_imf_weights
import visdom
import argparse
import numpy as np
import cv2
from models_liu import t... | 34.33033 | 121 | 0.616253 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,657 | 0.407365 |
2489073f0eab3875094f768945e495da336cb50f | 10,743 | py | Python | parikh-et-al-and-bilstm-max-pool/trainer.py | apsdehal/nli-batch-optimizations | 946dbeae58edd39dcda948d03765f7b1070b4eab | [
"MIT"
] | 4 | 2017-12-25T21:55:07.000Z | 2020-05-09T00:18:39.000Z | parikh-et-al-and-bilstm-max-pool/trainer.py | apsdehal/nli-batch-optimizations | 946dbeae58edd39dcda948d03765f7b1070b4eab | [
"MIT"
] | null | null | null | parikh-et-al-and-bilstm-max-pool/trainer.py | apsdehal/nli-batch-optimizations | 946dbeae58edd39dcda948d03765f7b1070b4eab | [
"MIT"
] | 1 | 2018-08-01T19:36:04.000Z | 2018-08-01T19:36:04.000Z | import torch
import matplotlib.pyplot as plt
import numpy as np
import time
from torch import optim, nn
from torch.autograd import Variable
from torch.utils.data import DataLoader
from tensorboardX import SummaryWriter
from models.DecomposableAttention import DecomposableAttention
from models.BiLSTMMaxPooling import ... | 43.318548 | 79 | 0.543051 | 10,322 | 0.960812 | 0 | 0 | 0 | 0 | 0 | 0 | 1,099 | 0.102299 |
248941d967a1b7d873ad7da541cea91f968f8222 | 954 | py | Python | plusy/spiders/gov_sbir_news.py | OracleGao/plusy | 756ed8fe932255ffcf7eed2afdc0b83a85a7548e | [
"Apache-2.0"
] | null | null | null | plusy/spiders/gov_sbir_news.py | OracleGao/plusy | 756ed8fe932255ffcf7eed2afdc0b83a85a7548e | [
"Apache-2.0"
] | null | null | null | plusy/spiders/gov_sbir_news.py | OracleGao/plusy | 756ed8fe932255ffcf7eed2afdc0b83a85a7548e | [
"Apache-2.0"
] | null | null | null | import scrapy
class GovSbirNewsSpider(scrapy.Spider):
name = 'gov.sbir.news'
start_urls = ["https://www.sbir.gov/news?page=0"]
def __init__(self):
for page_num in range(1, 23):
self.start_urls.append("https://www.sbir.gov/news?page=%d" % page_num)
def parse(self, response):
... | 39.75 | 107 | 0.5587 | 938 | 0.983229 | 665 | 0.697065 | 0 | 0 | 0 | 0 | 324 | 0.339623 |
248b843beb808fda7506840e01537e62bc25f9dc | 4,697 | py | Python | schedule/forms.py | yourcelf/masterschedule | e585df0e9edcaff5fa4f04f77a9452e3073b5db7 | [
"Unlicense"
] | 1 | 2015-02-11T04:08:36.000Z | 2015-02-11T04:08:36.000Z | schedule/forms.py | yourcelf/masterschedule | e585df0e9edcaff5fa4f04f77a9452e3073b5db7 | [
"Unlicense"
] | null | null | null | schedule/forms.py | yourcelf/masterschedule | e585df0e9edcaff5fa4f04f77a9452e3073b5db7 | [
"Unlicense"
] | null | null | null | from django import forms
from django.forms.models import inlineformset_factory
from django.contrib.auth.models import User
from django.core.exceptions import ValidationError
from schedule.models import *
class PersonForm(forms.ModelForm):
class Meta:
model = Person
fields = ['name']
class Availab... | 36.410853 | 103 | 0.593996 | 4,335 | 0.92293 | 0 | 0 | 0 | 0 | 0 | 0 | 668 | 0.142218 |
248c03c5a5264e6cc191535d9e3e4549482f8114 | 6,922 | py | Python | chromewhip/protocol/domstorage.py | spinda/chromewhip | 4c8089441f0767b91840abf6a076e9f65c83bdbc | [
"MIT"
] | 97 | 2017-07-22T13:12:36.000Z | 2021-03-20T04:03:27.000Z | chromewhip/protocol/domstorage.py | spinda/chromewhip | 4c8089441f0767b91840abf6a076e9f65c83bdbc | [
"MIT"
] | 15 | 2017-07-20T06:33:01.000Z | 2020-11-06T15:36:18.000Z | chromewhip/protocol/domstorage.py | spinda/chromewhip | 4c8089441f0767b91840abf6a076e9f65c83bdbc | [
"MIT"
] | 12 | 2017-11-30T17:46:53.000Z | 2020-10-01T17:57:19.000Z | # noinspection PyPep8
# noinspection PyArgumentList
"""
AUTO-GENERATED BY `scripts/generate_protocol.py` using `data/browser_protocol.json`
and `data/js_protocol.json` as inputs! Please do not modify this file.
"""
import logging
from typing import Any, Optional, Union
from chromewhip.helpers import PayloadMixin, Ba... | 28.138211 | 92 | 0.522103 | 6,448 | 0.931523 | 0 | 0 | 3,731 | 0.539006 | 0 | 0 | 1,597 | 0.230714 |
248c8297f74d6ca704f6d94c24827c0ddf886723 | 1,909 | py | Python | scripts/deprecated/sample_dataset_to_csv.py | dwlmt/Story-Untangling | c56354e305f06a508b63b913989ff8856e4db5b6 | [
"Unlicense"
] | 7 | 2020-09-12T22:32:33.000Z | 2022-02-07T08:37:04.000Z | scripts/deprecated/sample_dataset_to_csv.py | dwlmt/Story-Untangling | c56354e305f06a508b63b913989ff8856e4db5b6 | [
"Unlicense"
] | 2 | 2021-08-31T15:46:16.000Z | 2021-09-01T15:19:52.000Z | scripts/deprecated/sample_dataset_to_csv.py | dwlmt/Story-Untangling | c56354e305f06a508b63b913989ff8856e4db5b6 | [
"Unlicense"
] | 1 | 2021-06-02T09:33:27.000Z | 2021-06-02T09:33:27.000Z | import argparse
import csv
import dataset
engine_kwargs = {"pool_recycle": 3600, "connect_args": {'timeout': 300, "check_same_thread": False}}
def sample_stories(args):
print(args)
database = args["database"]
dataset_db = f"sqlite:///{database}"
csv_lines = []
with dataset.connect(dataset_db,... | 36.711538 | 110 | 0.660555 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 721 | 0.377685 |
248e74fc17487a62d2ff57515bb3b1c055682f33 | 967 | py | Python | cli/setup.py | hipikat/hpk.io | f969f0ac3da9906f970ba70bc153dedb3962d347 | [
"BSD-2-Clause"
] | 1 | 2021-08-22T05:15:28.000Z | 2021-08-22T05:15:28.000Z | cli/setup.py | hipikat/hpk.io | f969f0ac3da9906f970ba70bc153dedb3962d347 | [
"BSD-2-Clause"
] | null | null | null | cli/setup.py | hipikat/hpk.io | f969f0ac3da9906f970ba70bc153dedb3962d347 | [
"BSD-2-Clause"
] | null | null | null | """pdjn - the CLI tool of Pidjn"""
from setuptools import setup
setup(
name='pdjn',
version='0.1',
description="CLI tool for managing Pydjn sites",
url='https://github.com/hipikat/hpk.io/tree/master/src/cli',
license='ISC',
author='Ada Wright',
author_email='ada@hpk.io',
py_modules=['... | 28.441176 | 71 | 0.58635 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 627 | 0.648397 |
248f7384cfb08b1240e64c826352c311afba0e91 | 16,088 | py | Python | LinkTap.py | simplextech/udi-linktap-poly | e51180aecf58e0453bfe444acd2b454e6d3df00d | [
"MIT"
] | 2 | 2020-05-23T18:04:04.000Z | 2020-06-22T11:29:03.000Z | LinkTap.py | simplextech/udi-linktap-poly | e51180aecf58e0453bfe444acd2b454e6d3df00d | [
"MIT"
] | 11 | 2020-02-07T02:14:01.000Z | 2021-05-03T21:35:01.000Z | LinkTap.py | simplextech/udi-linktap-poly | e51180aecf58e0453bfe444acd2b454e6d3df00d | [
"MIT"
] | 1 | 2020-08-05T01:36:56.000Z | 2020-08-05T01:36:56.000Z | #!/usr/bin/env python
import sys
import linktap
import time
import logging
try:
import polyinterface
CLOUD = False
except ImportError:
import pgc_interface as polyinterface
CLOUD = True
LOGGER = polyinterface.LOGGER
logging.getLogger('urllib3').setLevel(logging.INFO)
class Controller(polyinterface... | 40.422111 | 122 | 0.518585 | 15,440 | 0.959722 | 0 | 0 | 0 | 0 | 0 | 0 | 3,028 | 0.188215 |
248f8a8798b422e37a9e5b6af2d4bad26607f584 | 908 | py | Python | src/note_passing.py | fizisist/numerical-methods-pdes | 659045a19d8285f12447bb93401062c5e3666e18 | [
"CC-BY-4.0",
"MIT"
] | 100 | 2016-01-18T21:25:55.000Z | 2022-02-03T02:57:22.000Z | src/note_passing.py | QamarQQ/numerical-methods-pdes | d714a9fd2a94110bd0d7bffefb9043e010c4b7f2 | [
"CC-BY-4.0",
"MIT"
] | 7 | 2016-01-28T04:19:31.000Z | 2022-02-06T22:37:08.000Z | src/note_passing.py | QamarQQ/numerical-methods-pdes | d714a9fd2a94110bd0d7bffefb9043e010c4b7f2 | [
"CC-BY-4.0",
"MIT"
] | 82 | 2016-01-18T23:44:21.000Z | 2022-02-06T04:59:14.000Z | #!/usr/bin/env python
# encoding: utf-8
"""Note passing from Python"""
from __future__ import absolute_import
from __future__ import print_function
from mpi4py import MPI
import numpy
comm = MPI.COMM_WORLD
rank = comm.Get_rank()
size = comm.Get_size()
tag = 42
N = 10
if rank == 0:
data = numpy.arange(N, dtype... | 22.146341 | 56 | 0.656388 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 201 | 0.221366 |
24903ea9e622fd8f43c25fe974be2913277bb0c6 | 2,287 | py | Python | metanic/settings/development.py | LimpidTech/melody | a00b99f9b697864a078e2cb886be4d75c10458a9 | [
"BSD-3-Clause"
] | null | null | null | metanic/settings/development.py | LimpidTech/melody | a00b99f9b697864a078e2cb886be4d75c10458a9 | [
"BSD-3-Clause"
] | 1 | 2020-02-11T21:34:24.000Z | 2020-02-11T21:34:24.000Z | metanic/settings/development.py | LimpidTech/melody | a00b99f9b697864a078e2cb886be4d75c10458a9 | [
"BSD-3-Clause"
] | null | null | null | from metanic.settings.defaults import INSTALLED_APPS
from metanic.settings.defaults import MIDDLEWARE
from metanic.settings.defaults import REST_FRAMEWORK
from metanic.settings.defaults import cache_url
from metanic.settings.defaults import env_value
from metanic.settings.defaults import project_path
# We specificall... | 25.131868 | 76 | 0.690861 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 991 | 0.433319 |
249344d6dc4af56e0d60cf084fb8f52348db6021 | 1,848 | py | Python | sensordisplayProject/sensor/views.py | ylf2002/sensor_display | 660751e461b1afbf0cd6fd97baa3f8bc05698848 | [
"MIT"
] | null | null | null | sensordisplayProject/sensor/views.py | ylf2002/sensor_display | 660751e461b1afbf0cd6fd97baa3f8bc05698848 | [
"MIT"
] | null | null | null | sensordisplayProject/sensor/views.py | ylf2002/sensor_display | 660751e461b1afbf0cd6fd97baa3f8bc05698848 | [
"MIT"
] | null | null | null | from sensor.models import Sensors
from sensor.serializers import TempSerializer
from rest_framework import generics
from django.shortcuts import render
from django.http import JsonResponse
# Create your views here.
class sensors_api(generics.ListCreateAPIView):
queryset = Sensors.objects.all()
ser... | 27.58209 | 117 | 0.487554 | 123 | 0.065987 | 0 | 0 | 0 | 0 | 0 | 0 | 145 | 0.07779 |
24940c4d857b6b4b4b8504450135355011f4c10c | 950 | py | Python | test/test_simple.py | RyanMillerC/encase | 8ac041056b81cbb90be81a26116d58fbb6a6a3e9 | [
"MIT"
] | null | null | null | test/test_simple.py | RyanMillerC/encase | 8ac041056b81cbb90be81a26116d58fbb6a6a3e9 | [
"MIT"
] | 4 | 2018-07-12T18:21:21.000Z | 2018-07-25T19:19:14.000Z | test/test_simple.py | RyanMillerC/encase | 8ac041056b81cbb90be81a26116d58fbb6a6a3e9 | [
"MIT"
] | 1 | 2018-07-11T19:10:25.000Z | 2018-07-11T19:10:25.000Z | """
Make sure to run with `python -m pytest` instead of `pytest`. That
way the root project directory is added to sys.path.
"""
import pytest
from encase import Encase
def test_get_dot_notation():
e = Encase({'test': 'value'})
assert e.test == 'value'
def test_set_dot_notation():
e = Encase()
e.ne... | 20.652174 | 66 | 0.627368 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 316 | 0.332632 |
2494ce1fcebe6e8abe15bb82c463b0e7baad0b3d | 597 | py | Python | authlib/common/__init__.py | jmrafael/Streamlit-Authentication | 208e9d8f116d25d420f41b6d01c13f063052805b | [
"MIT"
] | 25 | 2021-08-25T12:51:14.000Z | 2022-03-29T22:56:21.000Z | authlib/common/__init__.py | jmrafael/Streamlit-Authentication | 208e9d8f116d25d420f41b6d01c13f063052805b | [
"MIT"
] | 6 | 2021-09-09T23:09:51.000Z | 2022-03-11T11:11:23.000Z | authlib/common/__init__.py | jmrafael/Streamlit-Authentication | 208e9d8f116d25d420f41b6d01c13f063052805b | [
"MIT"
] | 7 | 2021-09-04T08:06:21.000Z | 2022-03-07T23:40:02.000Z | from functools import wraps
# Easy inteceptor for tracing
def trace_activity(fn, trace=True):
@wraps(fn)
def wrapper(*args, **kwargs):
if trace:
print(f'TRACE: calling {fn.__name__}(), positional args: {args}, named args: {kwargs}')
return fn(*args, **kwargs)
return wrapper
# E... | 27.136364 | 99 | 0.666667 | 259 | 0.433836 | 0 | 0 | 197 | 0.329983 | 0 | 0 | 125 | 0.20938 |
24951f2ffee670ea65064f89e7a1aeb3eee4af1e | 341 | py | Python | rllab/torch/models/base.py | NeurIPSPaperSubmission7934/code_submission | 713fce673e8e3ba30b559d4eebe6d3e4891069ed | [
"Apache-2.0"
] | null | null | null | rllab/torch/models/base.py | NeurIPSPaperSubmission7934/code_submission | 713fce673e8e3ba30b559d4eebe6d3e4891069ed | [
"Apache-2.0"
] | null | null | null | rllab/torch/models/base.py | NeurIPSPaperSubmission7934/code_submission | 713fce673e8e3ba30b559d4eebe6d3e4891069ed | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2018 Copyright holder of the paper Generative Adversarial Model Learning
# submitted to NeurIPS 2019 for review
# All rights reserved.
class TorchModel(object):
@property
def normalized_input(self):
raise NotImplementedError
@property
def normalized_output(self):
raise... | 24.357143 | 88 | 0.741935 | 188 | 0.55132 | 0 | 0 | 151 | 0.442815 | 0 | 0 | 148 | 0.434018 |
2495e93dc6a272797419348823761b57f910f2c3 | 5,798 | py | Python | engagement/clearbit_engager.py | drorgarti/SatoriLab | 6e57bad2c01d6ee8baa97f915abc001bed974785 | [
"MIT"
] | 1 | 2019-06-12T09:02:34.000Z | 2019-06-12T09:02:34.000Z | engagement/clearbit_engager.py | drorgarti/SatoriLab | 6e57bad2c01d6ee8baa97f915abc001bed974785 | [
"MIT"
] | null | null | null | engagement/clearbit_engager.py | drorgarti/SatoriLab | 6e57bad2c01d6ee8baa97f915abc001bed974785 | [
"MIT"
] | null | null | null | from engagement.engager import Engager
from engagement.engagement_exception import EngagementException
from entities.acurerate_attributes import P, C
from utils.acurerate_utils import AcureRateUtils
import clearbit
class ClearbitEngager(Engager):
ACURATE_TRIAL_KEY = "sk_2a34f937f031587cb2bf4f6ee84a3c70" # Acur... | 35.790123 | 115 | 0.625388 | 5,579 | 0.962228 | 0 | 0 | 0 | 0 | 0 | 0 | 1,306 | 0.22525 |
249661029b750065aec2931215cce553b6efc801 | 666 | py | Python | knapsack/ratio.py | dstlmrk/knapsack | 357c6b06cca4e743c2d3977d718346b97ee4b11a | [
"MIT"
] | null | null | null | knapsack/ratio.py | dstlmrk/knapsack | 357c6b06cca4e743c2d3977d718346b97ee4b11a | [
"MIT"
] | null | null | null | knapsack/ratio.py | dstlmrk/knapsack | 357c6b06cca4e743c2d3977d718346b97ee4b11a | [
"MIT"
] | null | null | null | from knapsack import Knapsack
class Ratio(Knapsack):
"""
Ratio sorts all items by ratio of price and weight and adds
them into bag step by step, if is it possible.
"""
def evaluate(self):
price = 0
capacity = self.capacity
configuration = [0 for i, val in enumerate(self.it... | 27.75 | 65 | 0.584084 | 633 | 0.95045 | 0 | 0 | 0 | 0 | 0 | 0 | 126 | 0.189189 |
249c43ce612636beb782922b00342077fa5dc793 | 76 | py | Python | example_snippets/multimenus_snippets/Snippets/SciPy/Physical and mathematical constants/CODATA physical constants/N/nuclear magneton in inverse meters per tesla.py | kuanpern/jupyterlab-snippets-multimenus | 477f51cfdbad7409eab45abe53cf774cd70f380c | [
"BSD-3-Clause"
] | null | null | null | example_snippets/multimenus_snippets/Snippets/SciPy/Physical and mathematical constants/CODATA physical constants/N/nuclear magneton in inverse meters per tesla.py | kuanpern/jupyterlab-snippets-multimenus | 477f51cfdbad7409eab45abe53cf774cd70f380c | [
"BSD-3-Clause"
] | null | null | null | example_snippets/multimenus_snippets/Snippets/SciPy/Physical and mathematical constants/CODATA physical constants/N/nuclear magneton in inverse meters per tesla.py | kuanpern/jupyterlab-snippets-multimenus | 477f51cfdbad7409eab45abe53cf774cd70f380c | [
"BSD-3-Clause"
] | 1 | 2021-02-04T04:51:48.000Z | 2021-02-04T04:51:48.000Z | constants.physical_constants["nuclear magneton in inverse meters per tesla"] | 76 | 76 | 0.855263 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 46 | 0.605263 |
249ccac49aa2c5391984dfd6fbfac075310032ca | 1,945 | py | Python | scrapers/unhcr.py | OCHA-DAP/hdx-scraper-ukraine-viz | 149a27c7b6dd3ae8807d063554867aea31f77a38 | [
"MIT"
] | 1 | 2022-03-20T21:00:22.000Z | 2022-03-20T21:00:22.000Z | scrapers/unhcr.py | OCHA-DAP/hdx-scraper-ukraine-viz | 149a27c7b6dd3ae8807d063554867aea31f77a38 | [
"MIT"
] | null | null | null | scrapers/unhcr.py | OCHA-DAP/hdx-scraper-ukraine-viz | 149a27c7b6dd3ae8807d063554867aea31f77a38 | [
"MIT"
] | null | null | null | import logging
from hdx.location.country import Country
from hdx.scraper.base_scraper import BaseScraper
logger = logging.getLogger(__name__)
class UNHCR(BaseScraper):
def __init__(self, datasetinfo, today, outputs, countryiso3s):
super().__init__(
"unhcr",
datasetinfo,
... | 34.122807 | 88 | 0.553728 | 1,798 | 0.924422 | 0 | 0 | 0 | 0 | 0 | 0 | 358 | 0.184062 |
249d017eb5799d5e056dbd1b6eb003f08d3ffb34 | 1,167 | py | Python | ready_model.py | vitalProjects/curse_project | 5768d7413db86b1d1054f0ff1102acfbea773fc7 | [
"Apache-2.0"
] | 1 | 2021-03-14T21:38:41.000Z | 2021-03-14T21:38:41.000Z | ready_model.py | vitalfect/columnsAgent | 5768d7413db86b1d1054f0ff1102acfbea773fc7 | [
"Apache-2.0"
] | null | null | null | ready_model.py | vitalfect/columnsAgent | 5768d7413db86b1d1054f0ff1102acfbea773fc7 | [
"Apache-2.0"
] | null | null | null | from os.path import join
import torch
import config
from models.attention_model import ZReader as ZReader_attn
from models.fnet_model import ZReader as ZReader_fnet
if __name__ == "__main__":
str_true = "thehighwayroundsacurveandtransitionstondstreetrunningeastwardthroughmorefarmlandasthetrunklineappro" \
... | 46.68 | 119 | 0.700086 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 565 | 0.484147 |
249e34ad03f7c56a8da00f23fe94625ab7a19c26 | 907 | py | Python | meza/__init__.py | SteadBytes/meza | ff1f881fc2a765b383535328456b380e75181b34 | [
"MIT"
] | null | null | null | meza/__init__.py | SteadBytes/meza | ff1f881fc2a765b383535328456b380e75181b34 | [
"MIT"
] | null | null | null | meza/__init__.py | SteadBytes/meza | ff1f881fc2a765b383535328456b380e75181b34 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# vim: sw=4:ts=4:expandtab
"""
meza
~~~~
Provides methods for reading and processing data from tabular formatted files
Attributes:
CURRENCIES [tuple(unicode)]: Currency symbols to remove from decimal
strings.
ENCODING (str): Default file encoding.
DEF... | 25.194444 | 77 | 0.706725 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 542 | 0.595604 |
249e4e189863ccce071f3265d50900ed737a9d1d | 3,590 | py | Python | protein_ligand_contacts/contact_extraction/ifg.py | songlab-cal/contact-geometry | 81cb7e56af7bccaf5b7f6dde52d9f2adbe89e8bd | [
"MIT"
] | 2 | 2021-11-03T21:00:21.000Z | 2021-11-06T21:27:53.000Z | protein_ligand_contacts/contact_extraction/ifg.py | songlab-cal/contact-geometry | 81cb7e56af7bccaf5b7f6dde52d9f2adbe89e8bd | [
"MIT"
] | null | null | null | protein_ligand_contacts/contact_extraction/ifg.py | songlab-cal/contact-geometry | 81cb7e56af7bccaf5b7f6dde52d9f2adbe89e8bd | [
"MIT"
] | null | null | null | from functional_groups import SMARTS_ATOM_MAP
from typing import List, Tuple
import numpy as np
#typedef
xyzcoord = Tuple[float, float, float]
class iFG():
'''
iFG class to store information about ligand atoms that make up an iFG, mapping to amino acid residues,
as well as the protein residues that inter... | 31.769912 | 157 | 0.558496 | 3,442 | 0.958774 | 0 | 0 | 0 | 0 | 0 | 0 | 967 | 0.269359 |
249f953c98713e6e5275f3787508693400d14f46 | 1,806 | py | Python | Other code/Rasterization Script/Python_RasterCalculator.py | Ange-lina/BalticOffshorePotential | fd8af87bfe0bc069fe1ec6fd1c9e175ff1a5a1d3 | [
"MIT"
] | 2 | 2020-01-16T17:35:27.000Z | 2020-01-16T17:45:54.000Z | Other code/Rasterization Script/Python_RasterCalculator.py | Ange-lina/BalticOffshorePotential | fd8af87bfe0bc069fe1ec6fd1c9e175ff1a5a1d3 | [
"MIT"
] | null | null | null | Other code/Rasterization Script/Python_RasterCalculator.py | Ange-lina/BalticOffshorePotential | fd8af87bfe0bc069fe1ec6fd1c9e175ff1a5a1d3 | [
"MIT"
] | 2 | 2020-01-17T09:15:26.000Z | 2020-01-17T09:16:47.000Z | # -*- coding: utf-8 -*-
"""
Created on Mon Nov 11 13:35:09 2019
@author: Petronium
"""
# Import system modules
import rasterio
from rasterio.plot import show
fp1 = r'Bathymetry_Clip.tif'
fp2 = r'Shipping_Clip.tif'
fp3 = r'WindMap_Clip.tif'
bathymetry = rasterio.open(fp1)
shipping = rasterio.open(fp2)
windspeed = ra... | 22.860759 | 89 | 0.630676 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 797 | 0.441307 |
249fac364e58fcf14bba9eca0fc8d066dd575ccd | 3,651 | py | Python | orders/viewmodels.py | XiaoBiaoBai/xiaobiaobai_api | 409922a1406e6572c931f65be995ce12673cc0d4 | [
"MIT"
] | null | null | null | orders/viewmodels.py | XiaoBiaoBai/xiaobiaobai_api | 409922a1406e6572c931f65be995ce12673cc0d4 | [
"MIT"
] | 8 | 2020-06-05T18:15:44.000Z | 2022-03-11T23:21:19.000Z | orders/viewmodels.py | XiaoBiaoBai/xiaobiaobai.api | 409922a1406e6572c931f65be995ce12673cc0d4 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# encoding: utf-8
"""
@version: ??
@author: liangliangyy
@license: MIT Licence
@contact: liangliangyy@gmail.com
@site: https://www.lylinux.net/
@software: PyCharm
@file: viewmodels.py
@time: 2018/6/9 上午1:28
"""
from rest_framework import serializers
from accounts.models import UserModel, WxUser... | 43.987952 | 91 | 0.710216 | 3,029 | 0.826016 | 0 | 0 | 0 | 0 | 0 | 0 | 586 | 0.159804 |
24a01208af6498cbc0b92d10ddba2be689d325e7 | 460 | py | Python | src/lobe/api_client.py | Pikamander2/lobe-python | c404a2883addcf12bee2c3c17ac55d4b7e4c7c9b | [
"MIT"
] | null | null | null | src/lobe/api_client.py | Pikamander2/lobe-python | c404a2883addcf12bee2c3c17ac55d4b7e4c7c9b | [
"MIT"
] | null | null | null | src/lobe/api_client.py | Pikamander2/lobe-python | c404a2883addcf12bee2c3c17ac55d4b7e4c7c9b | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import requests
from PIL import Image
from .image_utils import image_to_base64
from .results import ClassificationResult
def send_image_predict_request(image: Image.Image, predict_url: str) -> ClassificationResult:
payload = {
"inputs": {"Image": image_to_base64(image)},
}
r... | 28.75 | 93 | 0.758696 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0.078261 |
24a0d5e654f0958267ca0ad2c3247033e43da911 | 793 | py | Python | sol/strings/2678 - Discagem por Voz.py | thiagojobson/PyURI | 93a16c9a4cf4fc22e9f3f545a452fe26e7e761e3 | [
"Unlicense"
] | null | null | null | sol/strings/2678 - Discagem por Voz.py | thiagojobson/PyURI | 93a16c9a4cf4fc22e9f3f545a452fe26e7e761e3 | [
"Unlicense"
] | null | null | null | sol/strings/2678 - Discagem por Voz.py | thiagojobson/PyURI | 93a16c9a4cf4fc22e9f3f545a452fe26e7e761e3 | [
"Unlicense"
] | null | null | null | # 2678 - Discagem por Voz
# https://www.urionlinejudge.com.br/judge/pt/problems/view/2678
def decode(x):
if x.isdigit() or x in "*#":
return x
elif x in "ABC":
return "2"
elif x in "DEF":
return "3"
elif x in "GHI":
return "4"
elif x in "DEF":
return "3"
... | 18.44186 | 63 | 0.489281 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 188 | 0.237074 |
24a317b44d00bea805342c6410ef02acf942e1c0 | 2,949 | py | Python | app/tests/v1/test_meetups.py | mr-pagani/ADC-Questioner-API | e54f1cb8147d14f3e357c24dc2af2382f60bd1a4 | [
"Unlicense"
] | null | null | null | app/tests/v1/test_meetups.py | mr-pagani/ADC-Questioner-API | e54f1cb8147d14f3e357c24dc2af2382f60bd1a4 | [
"Unlicense"
] | 1 | 2019-01-15T14:42:36.000Z | 2019-01-15T14:42:36.000Z | app/tests/v1/test_meetups.py | mr-pagani/ADC-Questioner-API | e54f1cb8147d14f3e357c24dc2af2382f60bd1a4 | [
"Unlicense"
] | null | null | null | import json
from .base_test import BaseTestCase
class TestMeetups(BaseTestCase):
def test_post_meetups(self):
with self.client:
response = self.client.post(
'api/v1/meetups', data=json.dumps(dict(
meetup_id=2,
createdOn='12 SEP 2019',
... | 37.329114 | 88 | 0.535775 | 2,898 | 0.982706 | 0 | 0 | 0 | 0 | 0 | 0 | 554 | 0.18786 |
24a456166df9f6ee81fe216b4721ba7faa8166b8 | 917 | py | Python | setup.py | M3TIOR/pyside2-style-test | 1000a00c44de90b1d9c2f2ae121ab127d1499ecd | [
"MIT"
] | 1 | 2020-08-14T16:21:22.000Z | 2020-08-14T16:21:22.000Z | setup.py | M3TIOR/pyside2-style-test | 1000a00c44de90b1d9c2f2ae121ab127d1499ecd | [
"MIT"
] | 1 | 2020-03-27T00:29:04.000Z | 2020-03-27T05:59:18.000Z | setup.py | M3TIOR/pyside2-style-test | 1000a00c44de90b1d9c2f2ae121ab127d1499ecd | [
"MIT"
] | null | null | null | import setuptools
import pyside2_style_test as testkit
with open("README.md", "r") as fh:
long_description = fh.read()
with open("requirements.txt", "r") as req:
dependencies = req.read()
setuptools.setup(
name="m3-pyside2-style-test",
version=testkit.__version__,
author=testkit.__author__,
auth... | 29.580645 | 70 | 0.708833 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 375 | 0.408942 |
24a66bf1696cb9f471526fbe804dd1d34ee16f6b | 1,446 | py | Python | presidio-anonymizer/tests/test_anonymizer_result.py | kubistika/presidio | 4777d1759e9bddc45317d9b2689e6df9f75eec05 | [
"MIT"
] | null | null | null | presidio-anonymizer/tests/test_anonymizer_result.py | kubistika/presidio | 4777d1759e9bddc45317d9b2689e6df9f75eec05 | [
"MIT"
] | null | null | null | presidio-anonymizer/tests/test_anonymizer_result.py | kubistika/presidio | 4777d1759e9bddc45317d9b2689e6df9f75eec05 | [
"MIT"
] | null | null | null | from presidio_anonymizer.entities import AnonymizerResult
from presidio_anonymizer.entities.anonymized_entity import AnonymizedEntity
def test_when_no_params_then_object_initialised_correctly():
res = AnonymizerResult()
assert res.text is None
assert res.items == []
def test_when_correct_params_then_obj... | 26.290909 | 75 | 0.70332 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 61 | 0.042185 |
24a6ceaa6ad3a63b821c739a4e853b4bfbbe8d5a | 3,637 | py | Python | train.py | rickgroen/cov-weighting | 64c296679cd37e724a03c6dc107606f7048aec96 | [
"MIT"
] | 26 | 2021-01-05T07:10:31.000Z | 2022-03-23T06:31:00.000Z | train.py | rickgroen/cov-weighting | 64c296679cd37e724a03c6dc107606f7048aec96 | [
"MIT"
] | 6 | 2021-04-12T16:27:11.000Z | 2022-02-09T07:00:15.000Z | train.py | rickgroen/cov-weighting | 64c296679cd37e724a03c6dc107606f7048aec96 | [
"MIT"
] | 7 | 2021-03-08T09:28:05.000Z | 2022-02-23T07:39:29.000Z | import time
import torch
# Project imports
from utils import *
from options import TrainOptions
from data_loaders import create_dataloader
from methods import create_method
class Trainer:
"""
Trains any of the model methods in methods/ using any of the losses
in losses/.
Initialize the t... | 32.765766 | 106 | 0.637613 | 2,928 | 0.805059 | 0 | 0 | 0 | 0 | 0 | 0 | 1,226 | 0.337091 |
24a6f16182dda0c0b9e74d9f007b1abeaf6547e8 | 1,272 | py | Python | Versuch2/task3.4.py | Tobias-Schoch/SSS | f8b078ca7f6482fc7c89d5f9e784a549459eefb7 | [
"MIT"
] | null | null | null | Versuch2/task3.4.py | Tobias-Schoch/SSS | f8b078ca7f6482fc7c89d5f9e784a549459eefb7 | [
"MIT"
] | null | null | null | Versuch2/task3.4.py | Tobias-Schoch/SSS | f8b078ca7f6482fc7c89d5f9e784a549459eefb7 | [
"MIT"
] | 1 | 2022-01-06T12:47:53.000Z | 2022-01-06T12:47:53.000Z | import numpy as np
import cv2
# -------- Aufgabe3.4 -------- #
# Vector um Grenz- und Breitenwert zu speichern
vec = np.zeros((5, 2))
crop = ["crop1", "crop2", "crop3", "crop4", "crop5"]
# Bild einlesen und in Schwarz - Weiß umwandeln
image = cv2.imread('data/korrigiertes_bild2.png', cv2.IMREAD_GRAYSCALE)
# Grenz- ... | 25.959184 | 71 | 0.63522 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 724 | 0.566067 |
24a953522fba9a89dc6593417b426e4fb1e7cd77 | 197 | py | Python | Logic-2/no_teen_sum.py | VivekM27/Coding-Bat-Python-Solutions | 14d5c6ccaa2129e56a5898374dec60740fe6761b | [
"Apache-2.0"
] | null | null | null | Logic-2/no_teen_sum.py | VivekM27/Coding-Bat-Python-Solutions | 14d5c6ccaa2129e56a5898374dec60740fe6761b | [
"Apache-2.0"
] | null | null | null | Logic-2/no_teen_sum.py | VivekM27/Coding-Bat-Python-Solutions | 14d5c6ccaa2129e56a5898374dec60740fe6761b | [
"Apache-2.0"
] | null | null | null | # NO_TEEN_SUM
def no_teen_sum(a, b, c):
return fix_teen(a) + fix_teen(b) + fix_teen(c)
def fix_teen(n):
if (n == 15 or n == 16) or n<13 or n>19: return n
elif n>12 and n<20: return 0 | 28.142857 | 52 | 0.609137 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0.071066 |
24a9de62a34b58dfc19d30bea2ba3cdb517e09ee | 944 | py | Python | data_structures/Stack/stack/Python/stack.py | CarbonDDR/al-go-rithms | 8e65affbe812931b7dde0e2933eb06c0f44b4130 | [
"CC0-1.0"
] | 1,253 | 2017-06-06T07:19:25.000Z | 2022-03-30T17:07:58.000Z | data_structures/Stack/stack/Python/stack.py | rishabh99-rc/al-go-rithms | 4df20d7ef7598fda4bc89101f9a99aac94cdd794 | [
"CC0-1.0"
] | 554 | 2017-09-29T18:56:01.000Z | 2022-02-21T15:48:13.000Z | data_structures/Stack/stack/Python/stack.py | rishabh99-rc/al-go-rithms | 4df20d7ef7598fda4bc89101f9a99aac94cdd794 | [
"CC0-1.0"
] | 2,226 | 2017-09-29T19:59:59.000Z | 2022-03-25T08:59:55.000Z | '''This code is written MTH Junaidi github: Miranjunaidi on 26th Oct 2019 at 7:15 PM IST'''
#POP function removes the last element of the list
def pop(stack):
del stack[-1]
return stack
#push function adds a new number num to the list at the end.
def push(stack,num):
stack.append(num)
return stack
#pr... | 29.5 | 98 | 0.635593 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 507 | 0.537076 |
24aa08a1924956fa17aa4dbec0f66deb43113a38 | 1,390 | py | Python | core/utils.py | kasittig/advent_of_code | e536bfbe0a9a05cbee2b9c241bc2fea78db4ee27 | [
"MIT"
] | null | null | null | core/utils.py | kasittig/advent_of_code | e536bfbe0a9a05cbee2b9c241bc2fea78db4ee27 | [
"MIT"
] | 1 | 2021-12-18T03:11:27.000Z | 2021-12-18T03:11:27.000Z | core/utils.py | kasittig/advent_of_code | e536bfbe0a9a05cbee2b9c241bc2fea78db4ee27 | [
"MIT"
] | null | null | null | import os
from collections import defaultdict
from typing import Any, Dict, Iterable, List, Set, Union
def validate_and_read_file(filepath: str) -> List[str]:
if not os.path.exists(filepath):
raise FileNotFoundError(f"Error: no file found at {filepath}")
return open(filepath).readlines()
def get_def... | 27.8 | 75 | 0.67554 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 166 | 0.119424 |
24aa1693d704342ab69d496de49e45c690120868 | 426 | py | Python | apps/lotus_auth/urls.py | sunmoon11/apilotus_django | 115e9d0800751018f41ae8b9d85331d861126fd2 | [
"Apache-2.0"
] | null | null | null | apps/lotus_auth/urls.py | sunmoon11/apilotus_django | 115e9d0800751018f41ae8b9d85331d861126fd2 | [
"Apache-2.0"
] | 3 | 2019-12-04T22:21:46.000Z | 2020-05-09T18:57:24.000Z | apps/lotus_auth/urls.py | zaza316614/apilotus_django | 115e9d0800751018f41ae8b9d85331d861126fd2 | [
"Apache-2.0"
] | null | null | null | from django.conf.urls import url
from lotus_auth import forms
from django.contrib.auth import views as django_auth_views
from lotus_auth import views as lotus_auth_views
urlpatterns = [
# MWC Custom Auth Views
url(r'^login/$',
lotus_auth_views.login, {
'template_name': 'lotus_auth/login.ht... | 28.4 | 64 | 0.706573 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 108 | 0.253521 |
24aa16e48945bcc9cda497360276a9d7973aafa9 | 5,165 | py | Python | server.py | Protozzzer/works | 2e4ee1443ff8289eabde3c85024037cefba47ea2 | [
"Unlicense"
] | null | null | null | server.py | Protozzzer/works | 2e4ee1443ff8289eabde3c85024037cefba47ea2 | [
"Unlicense"
] | null | null | null | server.py | Protozzzer/works | 2e4ee1443ff8289eabde3c85024037cefba47ea2 | [
"Unlicense"
] | null | null | null | # -*- coding: cp1251 -*
import socket
import time
import sys
from PyQt5 import QtWidgets
from threading import Thread
from PyQt5 import QtCore
from PyQt5.QtWidgets import (QVBoxLayout, QSplitter, QTextEdit, QWidget)
from PyQt5.QtGui import QTextCursor
import MySQLdb
class Settings_server:
host = socket.gethostbyn... | 38.544776 | 128 | 0.548112 | 4,621 | 0.894676 | 0 | 0 | 0 | 0 | 0 | 0 | 810 | 0.156825 |
24aa7d31a941bbe6faa5d7383cec1739d90b532d | 2,147 | py | Python | lib/ansibledocgen/cli.py | Ymil/ansible-docgen | a69dc8b067861b5a365d6086526d49f3cebfcfc0 | [
"MIT"
] | null | null | null | lib/ansibledocgen/cli.py | Ymil/ansible-docgen | a69dc8b067861b5a365d6086526d49f3cebfcfc0 | [
"MIT"
] | null | null | null | lib/ansibledocgen/cli.py | Ymil/ansible-docgen | a69dc8b067861b5a365d6086526d49f3cebfcfc0 | [
"MIT"
] | null | null | null | """ Command Line Interface Module """
import optparse
import sys
import os
from ansibledocgen.parser.dir import DirParser
from ansibledocgen.formatter.markup import MarkupFormatter
class Cli(object):
""" Command Line Interface for ansible-docgen """
def __init__(self):
""" Setup Arguments and Options... | 37.666667 | 85 | 0.552399 | 1,963 | 0.914299 | 0 | 0 | 0 | 0 | 0 | 0 | 760 | 0.353982 |
24acf2037e2804da3c6e1f82c0c898b338afaf0e | 4,067 | py | Python | reclass/storage/tests/test_memcache_proxy.py | scivisum/reclass | 71608ae3999a549d5e1efd4520cd2ad6a3b2b554 | [
"Artistic-2.0"
] | 54 | 2017-09-18T12:38:11.000Z | 2022-03-06T03:53:52.000Z | reclass/storage/tests/test_memcache_proxy.py | scivisum/reclass | 71608ae3999a549d5e1efd4520cd2ad6a3b2b554 | [
"Artistic-2.0"
] | 47 | 2017-09-13T07:45:46.000Z | 2020-12-03T10:00:25.000Z | reclass/storage/tests/test_memcache_proxy.py | scivisum/reclass | 71608ae3999a549d5e1efd4520cd2ad6a3b2b554 | [
"Artistic-2.0"
] | 24 | 2017-08-17T10:11:34.000Z | 2021-06-28T09:57:45.000Z | #
# -*- coding: utf-8 -*-
#
# This file is part of reclass (http://github.com/madduck/reclass)
#
# Copyright © 2007–14 martin f. krafft <madduck@madduck.net>
# Released under the terms of the Artistic Licence 2.0
#
from __future__ import absolute_import
from __future__ import division
from __future__ import print_funct... | 43.265957 | 105 | 0.69191 | 3,419 | 0.840049 | 0 | 0 | 0 | 0 | 0 | 0 | 327 | 0.080344 |
24ad6804391b45a64a697c4d8ac8b9f9ab067809 | 780 | py | Python | reports-service/app/main.py | ethru/northwind_psql | 837c5137e753deb2ee5483a10a51f8c2b66377d1 | [
"MS-PL"
] | null | null | null | reports-service/app/main.py | ethru/northwind_psql | 837c5137e753deb2ee5483a10a51f8c2b66377d1 | [
"MS-PL"
] | null | null | null | reports-service/app/main.py | ethru/northwind_psql | 837c5137e753deb2ee5483a10a51f8c2b66377d1 | [
"MS-PL"
] | null | null | null | from fastapi import FastAPI
from elasticapm.contrib.starlette import ElasticAPM
from starlette_exporter import PrometheusMiddleware, handle_metrics
from app.api import database, engine, metadata
from app.api.auth import session
from app.api.reports import reports, apm
metadata.create_all(engine)
app = FastAPI(openap... | 26 | 84 | 0.785897 | 0 | 0 | 0 | 0 | 179 | 0.229487 | 128 | 0.164103 | 110 | 0.141026 |
24aed837d0532b684b7fafa445f36bb47a201801 | 1,904 | py | Python | missing_strat/inference/decomposition.py | tritas/missing_strat | 79abbcadfc8d2074f05f7e72de4f7d454a847a9c | [
"BSD-3-Clause"
] | null | null | null | missing_strat/inference/decomposition.py | tritas/missing_strat | 79abbcadfc8d2074f05f7e72de4f7d454a847a9c | [
"BSD-3-Clause"
] | null | null | null | missing_strat/inference/decomposition.py | tritas/missing_strat | 79abbcadfc8d2074f05f7e72de4f7d454a847a9c | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Fri Jul 15 16:20:49 2016
@author: Philippe
"""
import numpy as np
from scipy.sparse.linalg import svds
from functools import partial
def em_svd(Y, k=None, tol=1e-3, maxiter=None):
"""
Approximate SVD on data with missing values via expectation-maximization
Paramet... | 27.2 | 76 | 0.601366 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 950 | 0.49895 |
24b03fa844ab8c0271326cc441a68fa308092476 | 862 | py | Python | picraftzero/providers/motor/piconzero.py | WayneKeenan/picraftzero | 68ebf94ae2bea04e8bfb06e333ddaa21783fd6c8 | [
"MIT"
] | 19 | 2017-06-14T09:44:17.000Z | 2022-01-13T10:46:39.000Z | picraftzero/providers/motor/piconzero.py | WayneKeenan/picraftzero | 68ebf94ae2bea04e8bfb06e333ddaa21783fd6c8 | [
"MIT"
] | 63 | 2017-06-01T12:10:10.000Z | 2018-09-10T15:39:06.000Z | picraftzero/providers/motor/piconzero.py | WayneKeenan/picraftzero | 68ebf94ae2bea04e8bfb06e333ddaa21783fd6c8 | [
"MIT"
] | 5 | 2017-06-20T17:27:14.000Z | 2021-03-25T15:36:32.000Z |
from picraftzero.log import logger
from picraftzero.interfaces.hardware.providers import MotorProvider
from picraftzero.utils import constrain
from picraftzero.utils import dedupe
from picraftzero.thirdparty import piconzero as pz
class PiconzeroMotor(MotorProvider):
def __init__(self, motor_id):
se... | 21.55 | 67 | 0.646172 | 621 | 0.720418 | 0 | 0 | 0 | 0 | 0 | 0 | 63 | 0.073086 |
24b05ec839f0838d72624fea140291ea0a77d8e1 | 500 | py | Python | Resources/books/deep_learning_time_series_forecasting/code/chapter_11/02_average_forecast.py | gdepalma93/bright-athlete-academy | 54ba0cc6633637c1bd6d90120153e04b981244bf | [
"MIT"
] | null | null | null | Resources/books/deep_learning_time_series_forecasting/code/chapter_11/02_average_forecast.py | gdepalma93/bright-athlete-academy | 54ba0cc6633637c1bd6d90120153e04b981244bf | [
"MIT"
] | null | null | null | Resources/books/deep_learning_time_series_forecasting/code/chapter_11/02_average_forecast.py | gdepalma93/bright-athlete-academy | 54ba0cc6633637c1bd6d90120153e04b981244bf | [
"MIT"
] | null | null | null | # example of an average forecast
from numpy import mean
from numpy import median
# one-step average forecast
def average_forecast(history, config):
n, avg_type = config
# mean of last n values
if avg_type is 'mean':
return mean(history[-n:])
# median of last n values
return median(history[-n:])
# define datase... | 26.315789 | 68 | 0.698 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 156 | 0.312 |
24b13fa559addca55ce38ea69c4da466906d7ac6 | 477 | py | Python | composer/algorithms/cutout/__init__.py | jacobfulano/composer | 4ad81df2d2ca6e5f0b4922bb2db750cd76ba34e8 | [
"Apache-2.0"
] | 2 | 2022-03-17T04:48:04.000Z | 2022-03-20T09:06:19.000Z | composer/algorithms/cutout/__init__.py | jacobfulano/composer | 4ad81df2d2ca6e5f0b4922bb2db750cd76ba34e8 | [
"Apache-2.0"
] | null | null | null | composer/algorithms/cutout/__init__.py | jacobfulano/composer | 4ad81df2d2ca6e5f0b4922bb2db750cd76ba34e8 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 MosaicML. All Rights Reserved.
from composer.algorithms.cutout.cutout import CutOut as CutOut
from composer.algorithms.cutout.cutout import CutOutHparams as CutOutHparams
from composer.algorithms.cutout.cutout import cutout as cutout
_name = 'CutOut'
_class_name = 'CutOut'
_functional = 'cutout'
_tld... | 34.071429 | 76 | 0.78826 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 182 | 0.381551 |
24b371766deb53493ed64d08185d0fc630fffb96 | 1,191 | py | Python | genius/word.py | duanhongyi/genius | 1bb8a8facd786c59405eb1df982a2f86d7934d61 | [
"BSD-2-Clause"
] | 204 | 2015-01-03T14:00:24.000Z | 2022-01-14T13:25:16.000Z | genius/word.py | Liweiyanm/genius | 1bb8a8facd786c59405eb1df982a2f86d7934d61 | [
"BSD-2-Clause"
] | 5 | 2017-08-18T03:08:48.000Z | 2018-12-27T07:51:56.000Z | genius/word.py | Liweiyanm/genius | 1bb8a8facd786c59405eb1df982a2f86d7934d61 | [
"BSD-2-Clause"
] | 63 | 2015-04-08T17:25:24.000Z | 2022-02-10T08:18:32.000Z | #encoding:utf-8
import six
from genius.tools import StringHelper
class Word(object):
string_helper = StringHelper()
def __init__(self, text, **kwargs):
self.text = text # 词
self.freq = kwargs.get('freq', 0) # 词频
self.tagging = kwargs.get('tagging', 'unknown') # 词性
# dic:字典,... | 25.891304 | 61 | 0.555835 | 1,170 | 0.94431 | 0 | 0 | 153 | 0.123487 | 0 | 0 | 236 | 0.190476 |
24b56efa9d500dcf0b06602f9619ff3fe9fa427e | 1,462 | py | Python | stations/heathen/models.py | boyombo/django-stations | 93a70be7eb8268f9d48f6e3cf9a532bcb27ff895 | [
"MIT"
] | null | null | null | stations/heathen/models.py | boyombo/django-stations | 93a70be7eb8268f9d48f6e3cf9a532bcb27ff895 | [
"MIT"
] | null | null | null | stations/heathen/models.py | boyombo/django-stations | 93a70be7eb8268f9d48f6e3cf9a532bcb27ff895 | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
from django.db import models
class Industry(models.Model):
name = models.CharField(max_length=100)
def __unicode__(self):
return self.name
class Meta:
verbose_name_plural = 'Industries'
ordering = ['name']
class Location(models.Model):
... | 27.074074 | 68 | 0.683311 | 1,383 | 0.945964 | 0 | 0 | 76 | 0.051984 | 0 | 0 | 62 | 0.042408 |
24b9c10a0c8dd0aa24e9fa4c47c3053ceaf8be37 | 3,610 | py | Python | sumo/tests/netedit/additionalElements/chargingstation/create/test.sikuli/test.py | iltempe/osmosi | c0f54ecdbb7c7b5602d587768617d0dc50f1d75d | [
"MIT"
] | null | null | null | sumo/tests/netedit/additionalElements/chargingstation/create/test.sikuli/test.py | iltempe/osmosi | c0f54ecdbb7c7b5602d587768617d0dc50f1d75d | [
"MIT"
] | null | null | null | sumo/tests/netedit/additionalElements/chargingstation/create/test.sikuli/test.py | iltempe/osmosi | c0f54ecdbb7c7b5602d587768617d0dc50f1d75d | [
"MIT"
] | 2 | 2017-12-14T16:41:59.000Z | 2020-10-16T17:51:27.000Z | #!/usr/bin/env python
"""
@file test.py
@author Pablo Alvarez Lopez
@date 2016-11-25
@version $Id$
python script used by sikulix for testing netedit
SUMO, Simulation of Urban MObility; see http://sumo.dlr.de/
Copyright (C) 2009-2017 DLR/TS, Germany
This file is part of SUMO.
SUMO is free software; you can red... | 26.940299 | 76 | 0.789474 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,993 | 0.552078 |
24babe270e3cb016bf9a05e1484aec6a6bfc25c7 | 360 | py | Python | nlputils/subset.py | shaun-russell/nlp | 5d6a80ce146b4904dc8bc49d8353da85957b74eb | [
"MIT"
] | 1 | 2018-11-19T00:19:11.000Z | 2018-11-19T00:19:11.000Z | nlputils/subset.py | shaun-russell/nlp | 5d6a80ce146b4904dc8bc49d8353da85957b74eb | [
"MIT"
] | null | null | null | nlputils/subset.py | shaun-russell/nlp | 5d6a80ce146b4904dc8bc49d8353da85957b74eb | [
"MIT"
] | null | null | null | ''' Extract a subset of lines from a file. '''
import random
def extract_n(datalist, number, save_header=True):
start = 1 if save_header else 0
subset = []
if save_header:
subset.append(datalist[0])
sample_indices = random.sample(range(start, len(datalist)), number)
for idx in sample_indices:
subset... | 24 | 69 | 0.713889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 46 | 0.127778 |
24bdbfaa7f1f765ba8654015611f4aa1bebb433a | 2,005 | py | Python | SLClassifier/RepLoader.py | zhangrenyuuchicago/AdvReg4Intpltn | e6ce5a4db8213f0b6e7ba30f3f82375044c8dab0 | [
"MIT"
] | null | null | null | SLClassifier/RepLoader.py | zhangrenyuuchicago/AdvReg4Intpltn | e6ce5a4db8213f0b6e7ba30f3f82375044c8dab0 | [
"MIT"
] | null | null | null | SLClassifier/RepLoader.py | zhangrenyuuchicago/AdvReg4Intpltn | e6ce5a4db8213f0b6e7ba30f3f82375044c8dab0 | [
"MIT"
] | null | null | null | import torch
import torch.utils.data
import numpy as np
import csv
import random
import scvi
import scanpy as sc
import json
from collections import Counter
import json
import os
def convert_num(labels):
if os.path.exists('label2id.json'):
with open('label2id.json', 'r') as j:
label2id = json.... | 26.733333 | 60 | 0.558105 | 1,310 | 0.653367 | 0 | 0 | 0 | 0 | 0 | 0 | 87 | 0.043392 |
24bddb341b044ae3fa62fcdfa2048a65f4b08738 | 1,091 | py | Python | MatplotlibView.py | thekoc/ginkgo-sql-gui | f5f2523df42d505ffdc06b3a1b80dba4181c7b83 | [
"Apache-2.0"
] | null | null | null | MatplotlibView.py | thekoc/ginkgo-sql-gui | f5f2523df42d505ffdc06b3a1b80dba4181c7b83 | [
"Apache-2.0"
] | null | null | null | MatplotlibView.py | thekoc/ginkgo-sql-gui | f5f2523df42d505ffdc06b3a1b80dba4181c7b83 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*
import wx
import matplotlib
matplotlib.use("WxAgg")
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
from matplotlib.backends.backend_wx import NavigationToolbar2Wx
from matplotlib.figure import Figure
class MatplotlibPanel(wx.Panel):
def __init__(self, parent... | 30.305556 | 79 | 0.670027 | 669 | 0.613199 | 0 | 0 | 0 | 0 | 0 | 0 | 49 | 0.044913 |
24be2797fcd66e9b0985981bbaefcaaccc754cde | 3,608 | py | Python | examples/export_create_tables.py | danicarrion/carto-python | 631b018f065960baa35473e2087ce598560b9e17 | [
"BSD-3-Clause"
] | 85 | 2016-08-07T16:46:58.000Z | 2022-03-23T01:44:02.000Z | examples/export_create_tables.py | danicarrion/carto-python | 631b018f065960baa35473e2087ce598560b9e17 | [
"BSD-3-Clause"
] | 109 | 2016-08-02T18:40:04.000Z | 2021-08-23T08:08:02.000Z | examples/export_create_tables.py | danicarrion/carto-python | 631b018f065960baa35473e2087ce598560b9e17 | [
"BSD-3-Clause"
] | 29 | 2016-11-29T03:42:47.000Z | 2022-01-23T17:37:11.000Z | import argparse
import os
import re
import warnings
from carto.auth import APIKeyAuthClient
from carto.datasets import DatasetManager
from carto.sql import SQLClient
warnings.filterwarnings('ignore')
# set input arguments
parser = argparse.ArgumentParser(
description='Exports the CREATE TABLE scripts of all the ... | 33.719626 | 97 | 0.624169 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,843 | 0.510809 |
24be8697b54674c0e0b86a367e1a14ca3ae70fb3 | 669 | py | Python | peer.py | hmccreanor/voip | c37ae98f53700c5d17bd8af83dbece1702f0bd10 | [
"MIT"
] | null | null | null | peer.py | hmccreanor/voip | c37ae98f53700c5d17bd8af83dbece1702f0bd10 | [
"MIT"
] | null | null | null | peer.py | hmccreanor/voip | c37ae98f53700c5d17bd8af83dbece1702f0bd10 | [
"MIT"
] | null | null | null | import socket
import sys
import threading
import time
import pyaudio
recipient = sys.argv[1]
inPort = int(sys.argv[2])
outPort = int(sys.argv[3])
def poll(sock):
while True:
data, addr = sock.recvfrom(1024)
print(data.decode())
inSock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
outSock = s... | 19.114286 | 61 | 0.675635 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0.005979 |
24bf2e20956de8f312c50f5e50f0efe1c031e2db | 10,450 | py | Python | CorrNet/main.py | hcji/CorrNet | 373c425a3c17ce29ace1e9d9403d8300b3e5d93b | [
"MIT"
] | 2 | 2019-11-28T14:04:19.000Z | 2020-09-01T08:59:25.000Z | CorrNet/main.py | hcji/CorrNet | 373c425a3c17ce29ace1e9d9403d8300b3e5d93b | [
"MIT"
] | null | null | null | CorrNet/main.py | hcji/CorrNet | 373c425a3c17ce29ace1e9d9403d8300b3e5d93b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Fri Sep 13 09:14:27 2019
@author: hcji
"""
import os
os.environ["CUDA_VISIBLE_DEVICES"] = "-1" # 这一行注释掉就是使用cpu，不注释就是使用gpu
import numpy as np
import keras.backend as K
from keras.models import Model
from keras.layers import Input, Dense, Add, concatenate, Conv1D, MaxPooling1D, ... | 33.928571 | 101 | 0.598852 | 9,546 | 0.910357 | 0 | 0 | 0 | 0 | 0 | 0 | 879 | 0.083826 |
24bf65ebd5def1edf26cf1f3544da9ded8c43a2f | 164 | py | Python | Python_Exercise/py_exercise.py | kindyluv/My_Personal_Python_Exercises | 5192ee6ab57c537f0231ee004f06879f14ba2138 | [
"MIT"
] | null | null | null | Python_Exercise/py_exercise.py | kindyluv/My_Personal_Python_Exercises | 5192ee6ab57c537f0231ee004f06879f14ba2138 | [
"MIT"
] | null | null | null | Python_Exercise/py_exercise.py | kindyluv/My_Personal_Python_Exercises | 5192ee6ab57c537f0231ee004f06879f14ba2138 | [
"MIT"
] | null | null | null | has_high_income = True
has_good_credit = True
if has_high_income and has_good_credit:
print("Eligible for loan")
else:
print("Ineligible for loan")
| 20.5 | 40 | 0.72561 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0.243902 |
24c2c16a4acb45ab5b7484cfae6c99888157396c | 454 | py | Python | monitor/views.py | scsich/phagescan | 3394b6a80e62c175b1e10477f58f7b609c399085 | [
"Apache-2.0"
] | 21 | 2015-02-03T18:41:23.000Z | 2022-03-18T20:16:13.000Z | monitor/views.py | scsich/phagescan | 3394b6a80e62c175b1e10477f58f7b609c399085 | [
"Apache-2.0"
] | null | null | null | monitor/views.py | scsich/phagescan | 3394b6a80e62c175b1e10477f58f7b609c399085 | [
"Apache-2.0"
] | 6 | 2015-03-03T11:22:21.000Z | 2021-07-18T10:59:15.000Z |
from djcelery.models import WorkerState
from django.views.generic import ListView
import datetime
class MonitorListView(ListView):
model = WorkerState
queryset = WorkerState.objects.filter(last_heartbeat__gte=datetime.datetime.utcnow() - datetime.timedelta(minutes=5))
# todo paginate the list so we don't dump e... | 25.222222 | 118 | 0.781938 | 348 | 0.76652 | 0 | 0 | 0 | 0 | 0 | 0 | 52 | 0.114537 |
24c3a238ceec7c76992abc6bdae457799345c1bc | 974 | py | Python | kaznet/apps/main/serializers/__init__.py | onaio/kaznet-web | 53da428d5e62e40c5d38d84c3f3ee06071dd779b | [
"Apache-2.0"
] | 1 | 2019-10-03T12:18:15.000Z | 2019-10-03T12:18:15.000Z | kaznet/apps/main/serializers/__init__.py | onaio/kaznet-web | 53da428d5e62e40c5d38d84c3f3ee06071dd779b | [
"Apache-2.0"
] | 63 | 2018-10-31T12:57:36.000Z | 2020-04-27T20:18:22.000Z | kaznet/apps/main/serializers/__init__.py | onaio/kaznet-web | 53da428d5e62e40c5d38d84c3f3ee06071dd779b | [
"Apache-2.0"
] | 3 | 2019-08-05T09:10:03.000Z | 2020-01-05T21:24:49.000Z | """
Init module for main serializers
"""
from kaznet.apps.main.serializers.bounty import BountySerializer # noqa
from kaznet.apps.main.serializers.client import ClientSerializer # noqa
from kaznet.apps.main.serializers.contenttype import KaznetContentTypeSerializer # noqa
from kaznet.apps.main.serializers.locations ... | 64.933333 | 93 | 0.750513 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 0.102669 |
24c4ffc155dd53d094b28e7625d2fdd8fac1b525 | 16,095 | py | Python | exp2.py | miguelamendez/SignalPerceptron | 0e50f1b8e1c7f35675ccd2687f000d6534f70364 | [
"MIT"
] | null | null | null | exp2.py | miguelamendez/SignalPerceptron | 0e50f1b8e1c7f35675ccd2687f000d6534f70364 | [
"MIT"
] | null | null | null | exp2.py | miguelamendez/SignalPerceptron | 0e50f1b8e1c7f35675ccd2687f000d6534f70364 | [
"MIT"
] | null | null | null | import torch
import torchvision.models as models
from torch.profiler import profile, record_function, ProfilerActivity
from torch.utils.data import DataLoader
from torchvision import datasets
from torchvision.transforms import ToTensor, Lambda, Compose
import matplotlib.pyplot as plt
from signal_perceptron import *
fro... | 42.023499 | 134 | 0.555079 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,177 | 0.321653 |
24c61967065b81daa7a84b34568d13d782ce537d | 418 | py | Python | filter_meter_data/xlclass/globals.py | phizzl3/FilterMeterReadData | a057c494a37f613c0d76c18d7349351771b63e08 | [
"MIT"
] | 1 | 2021-01-19T16:56:24.000Z | 2021-01-19T16:56:24.000Z | filter_meter_data/xlclass/globals.py | phizzl3/FilterMeterReadData | a057c494a37f613c0d76c18d7349351771b63e08 | [
"MIT"
] | 6 | 2021-02-28T14:31:57.000Z | 2021-03-15T20:23:52.000Z | xlclass/globals.py | phizzl3/xlclass | 09859d38e4953608ea0013fcc92b1e4c669bcaf6 | [
"MIT"
] | null | null | null | from openpyxl.styles import PatternFill
# Color dict for background fill
COLORS = {'red': PatternFill(fgColor='FF0000', fill_type='solid'),
'green': PatternFill(fgColor='00b050', fill_type='solid'),
'orange': PatternFill(fgColor='FFC000', fill_type='solid'),
'yellow': PatternFill(fgColor=... | 46.444444 | 69 | 0.672249 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 141 | 0.337321 |
24c8220e8ee9158d4486cc7075172e26d11d35e1 | 3,847 | py | Python | discordSuperUtils/Ban.py | adam757521/discordSuperUtils-splitted | 7221cd0461be5311e4c51e93e332bdfaa92ae2b2 | [
"MIT"
] | 2 | 2021-09-09T02:56:38.000Z | 2021-09-09T03:55:49.000Z | discordSuperUtils/Ban.py | Z1R343L/discord-super-utils | c3b8c224ebe59a5acba1b9069c52cce029fdf9c4 | [
"MIT"
] | null | null | null | discordSuperUtils/Ban.py | Z1R343L/discord-super-utils | c3b8c224ebe59a5acba1b9069c52cce029fdf9c4 | [
"MIT"
] | null | null | null | from __future__ import annotations
import asyncio
from datetime import datetime
from typing import (
TYPE_CHECKING,
Union,
Optional
)
import discord
from .Base import DatabaseChecker
from .Punishments import Punisher
if TYPE_CHECKING:
from .Punishments import Punishment
from discord.ext import c... | 34.348214 | 119 | 0.597089 | 3,513 | 0.913179 | 0 | 0 | 259 | 0.067325 | 3,007 | 0.781648 | 508 | 0.132051 |
24c8d1c38168585d44647b43e92ca82459971f90 | 1,198 | py | Python | pages/choices.py | periclescy/research-qre | 7fafbc7120235fe6cb75a2f5477922d813c31066 | [
"OLDAP-2.3"
] | null | null | null | pages/choices.py | periclescy/research-qre | 7fafbc7120235fe6cb75a2f5477922d813c31066 | [
"OLDAP-2.3"
] | null | null | null | pages/choices.py | periclescy/research-qre | 7fafbc7120235fe6cb75a2f5477922d813c31066 | [
"OLDAP-2.3"
] | null | null | null | # languages = [
# ("EL", "EL"),
# ("EN", "EN"),
# ]
# gender = [
# ("", "---"),
# ("M", "Άρρεν / Male"),
# ("F", "Θήλυ / Female"),
# ]
#
# age = [
# ("", "---"),
# ("u17", "-17"),
# ("18-25", "18-25"),
# ("26-35", "26-35"),
# ("36-45", "36-45"),
# ("46-54", "46-54"),
# (... | 22.185185 | 52 | 0.413189 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,278 | 0.96018 |
24c94333f1c59b0fa2a2847c041b962bdb757ab4 | 2,393 | py | Python | mogp_emulator/demos/kdr_demos.py | EXAUQ/mogp-emulator | 9d5772135498bdf5b95b44b4afb065c2c266f899 | [
"MIT"
] | 21 | 2021-01-20T07:02:12.000Z | 2022-03-30T21:09:04.000Z | mogp_emulator/demos/kdr_demos.py | EXAUQ/mogp-emulator | 9d5772135498bdf5b95b44b4afb065c2c266f899 | [
"MIT"
] | 114 | 2019-04-25T14:53:11.000Z | 2021-01-06T17:07:41.000Z | mogp_emulator/demos/kdr_demos.py | EXAUQ/mogp-emulator | 9d5772135498bdf5b95b44b4afb065c2c266f899 | [
"MIT"
] | 8 | 2021-02-02T08:56:12.000Z | 2022-02-15T10:03:15.000Z | import mogp_emulator
import numpy as np
# simple Dimension Reduction examples
# simulator function -- returns a single "important" dimension from
# at least 4 inputs
def f(x):
return (x[0]-x[1]+2.*x[3])/3.
# Experimental design -- create a design with 5 input parameters
# all uniformly distributed over [0,1].
... | 29.182927 | 83 | 0.654409 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,294 | 0.540744 |
24cc3e9f8f00bbd38841b1efdedf97cebf49800c | 255 | py | Python | src/reusable_mongodb_connection/exceptions.py | Corona-Travel/reusable_mongodb_connection | c7555a82bfa01e5eccdec66885c24eadaac9237b | [
"MIT"
] | 1 | 2021-11-12T12:07:39.000Z | 2021-11-12T12:07:39.000Z | src/reusable_mongodb_connection/exceptions.py | Corona-Travel/reusable_mongodb_connection | c7555a82bfa01e5eccdec66885c24eadaac9237b | [
"MIT"
] | null | null | null | src/reusable_mongodb_connection/exceptions.py | Corona-Travel/reusable_mongodb_connection | c7555a82bfa01e5eccdec66885c24eadaac9237b | [
"MIT"
] | null | null | null | class ReusableMongodbConnectionError(ValueError):
def __init__(
self,
description: str = "An error occurred in reusable_mongodb_connection",
*args,
**kwargs
):
super().__init__(description, *args, **kwargs)
| 28.333333 | 78 | 0.635294 | 254 | 0.996078 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 0.196078 |
24cca9f21eb5116206ddd39d59a3fddcfc62889a | 2,909 | py | Python | app.py | JFEscobarM/Proyecto_final | a3d822f44c367d28f2910f1300ff5fddb4712bdb | [
"MIT"
] | null | null | null | app.py | JFEscobarM/Proyecto_final | a3d822f44c367d28f2910f1300ff5fddb4712bdb | [
"MIT"
] | null | null | null | app.py | JFEscobarM/Proyecto_final | a3d822f44c367d28f2910f1300ff5fddb4712bdb | [
"MIT"
] | null | null | null | from flask import Flask, render_template, request, redirect, url_for, session
from flask_mysqldb import MySQL,MySQLdb
from os import path
from notifypy import Notify
app = Flask(__name__)
app.config['MYSQL_HOST'] = 'localhost'
app.config['MYSQL_USER'] = 'root'
app.config['MYSQL_PASSWORD'] = ''
app.config['MYSQL_D... | 30.946809 | 127 | 0.603644 | 0 | 0 | 0 | 0 | 2,410 | 0.827894 | 0 | 0 | 797 | 0.273789 |
24ccdeca70d2927d3661847354b85295b67ae60e | 1,751 | py | Python | model/table2tsv.py | liziwl/Bugine | 7787a45c33bc061f4cbdb07ddaaf369f3b3934fc | [
"Apache-2.0"
] | 2 | 2020-03-20T07:53:08.000Z | 2020-07-06T03:41:23.000Z | model/table2tsv.py | liziwl/Bugine | 7787a45c33bc061f4cbdb07ddaaf369f3b3934fc | [
"Apache-2.0"
] | null | null | null | model/table2tsv.py | liziwl/Bugine | 7787a45c33bc061f4cbdb07ddaaf369f3b3934fc | [
"Apache-2.0"
] | 1 | 2020-04-16T07:51:27.000Z | 2020-04-16T07:51:27.000Z | from model import issuedb as idb
import os
from model import util, work_path
__GENERATE__ = False
if __GENERATE__:
SRC_DIR = 'tsv/'
TEST_DIR = 'tsv_test/'
TSV_FILE = work_path.in_project('./model/conf/tab_url.tsv')
__data_tsv = util.read_tsv(TSV_FILE)
def generate_lookup_table():
db_driver = idb.ISSuedb... | 27.359375 | 102 | 0.631068 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 227 | 0.12964 |
24ccf2defe0ea32cf2296c83948d69249f022e2d | 318 | py | Python | app/main/views.py | team-jinhong-kim/jake-cc-assignment | 71c5b0bfe52cbdc947a7bdf7af005b767664b488 | [
"MIT"
] | null | null | null | app/main/views.py | team-jinhong-kim/jake-cc-assignment | 71c5b0bfe52cbdc947a7bdf7af005b767664b488 | [
"MIT"
] | null | null | null | app/main/views.py | team-jinhong-kim/jake-cc-assignment | 71c5b0bfe52cbdc947a7bdf7af005b767664b488 | [
"MIT"
] | null | null | null | from flask import redirect, render_template, request
from . import main
@main.route('/', methods=['GET'])
def index():
return render_template("index.html")
@main.route('/shutdown')
def server_shutdown():
shutdown = request.environ.get('werkzeug.server.shutdown')
shutdown()
return 'Shutting down...'
| 24.461538 | 62 | 0.704403 | 0 | 0 | 0 | 0 | 242 | 0.761006 | 0 | 0 | 75 | 0.235849 |
24ce2bb821f0dd87e038601fa86a71421eb013fd | 241 | py | Python | askanna/core/exceptions.py | askanna-io/askanna-python | b6a1dec3b9911888f3d769cef46ce8c2d5cb0dfe | [
"Apache-2.0"
] | 1 | 2021-02-22T15:53:47.000Z | 2021-02-22T15:53:47.000Z | askanna/core/exceptions.py | askanna-io/askanna-python | b6a1dec3b9911888f3d769cef46ce8c2d5cb0dfe | [
"Apache-2.0"
] | null | null | null | askanna/core/exceptions.py | askanna-io/askanna-python | b6a1dec3b9911888f3d769cef46ce8c2d5cb0dfe | [
"Apache-2.0"
] | null | null | null | class Error(Exception):
pass
class GetError(Error):
pass
class HeadError(Error):
pass
class PostError(Error):
pass
class PatchError(Error):
pass
class PutError(Error):
pass
class RunError(Error):
pass
| 8.925926 | 24 | 0.659751 | 222 | 0.921162 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
24ce5f9fcb194a70d3a391932da2b7673b304ad3 | 3,969 | py | Python | 2_vae_denoiser_data_gen.py | Ladvien/denoising_vae | c61433a41ba69ca305ab1a7b526f8560a70bad4e | [
"MIT"
] | null | null | null | 2_vae_denoiser_data_gen.py | Ladvien/denoising_vae | c61433a41ba69ca305ab1a7b526f8560a70bad4e | [
"MIT"
] | null | null | null | 2_vae_denoiser_data_gen.py | Ladvien/denoising_vae | c61433a41ba69ca305ab1a7b526f8560a70bad4e | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Nov 11 17:27:59 2020
@author: ladvien
"""
import sys
import os
import cv2
import numpy as np
from random import randint
import matplotlib.pyplot as plt
image_tools_path = "/home/ladvien/deep_arcane/"
sys.path.append(image_tools_path)
from image_ut... | 26.111842 | 106 | 0.581759 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 515 | 0.129756 |
24ce86290dd9ae95c3b2fcc0924528d2a8404299 | 2,462 | py | Python | .circleci/txt2md.py | pamd/cimr-d-test | dd7005b40e7a1298d004d293de4f30b2c7b58caa | [
"CC-BY-4.0"
] | null | null | null | .circleci/txt2md.py | pamd/cimr-d-test | dd7005b40e7a1298d004d293de4f30b2c7b58caa | [
"CC-BY-4.0"
] | null | null | null | .circleci/txt2md.py | pamd/cimr-d-test | dd7005b40e7a1298d004d293de4f30b2c7b58caa | [
"CC-BY-4.0"
] | 1 | 2019-02-18T13:10:03.000Z | 2019-02-18T13:10:03.000Z | """This script generates README.md based on s3_list.txt. If an S3 object's
parent folder(s) doesn't exist, this script will be smart enough to create
the parent folder(s) as separate items in output MD file.
"""
TXT_FILENAME = "processed/s3_list.txt"
MD_FILENAME = "processed/README.md"
def get_md_name(s3_name):
"... | 35.681159 | 78 | 0.616166 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 793 | 0.322096 |
24d0811f8a1918258a94d40c8fda26282de53c17 | 1,644 | py | Python | _app/cantiin/filters.py | OmarThinks/cantiin_django | 3c80ba0aa1b6a92d232b1147e217a0d6ac8fc834 | [
"MIT"
] | 1 | 2021-08-17T21:27:32.000Z | 2021-08-17T21:27:32.000Z | _app/cantiin/filters.py | OmarThinks/cantiin_django | 3c80ba0aa1b6a92d232b1147e217a0d6ac8fc834 | [
"MIT"
] | null | null | null | _app/cantiin/filters.py | OmarThinks/cantiin_django | 3c80ba0aa1b6a92d232b1147e217a0d6ac8fc834 | [
"MIT"
] | null | null | null | from django_filters import rest_framework as filters
from accounts.models import (User)
from cantiin.models import (Product, Order, Comment)
from my_functions.filters_mixins import (DateTimeFilter, IdFilter)
from accounts.models import (User)
from django.db.models import Q
class UserFilter(IdFilter):
search = filt... | 26.95082 | 71 | 0.765207 | 1,300 | 0.790754 | 0 | 0 | 0 | 0 | 0 | 0 | 234 | 0.142336 |
24d39243e750a7c57ab69e5cfb997c5cb9428072 | 1,547 | py | Python | src/point_cloud_merger.py | kmtz-project/robot-simulator | 8725ebf26aa5e456083fe641194f433c1a16566e | [
"MIT"
] | null | null | null | src/point_cloud_merger.py | kmtz-project/robot-simulator | 8725ebf26aa5e456083fe641194f433c1a16566e | [
"MIT"
] | null | null | null | src/point_cloud_merger.py | kmtz-project/robot-simulator | 8725ebf26aa5e456083fe641194f433c1a16566e | [
"MIT"
] | null | null | null | import numpy as np
class PointCloudMerger:
# FIXME
def merge_clouds(self, cloud_left, cloud_right, matches):
left_crop_min = np.min([m[0][0] for m in matches])
# left_crop_max = np.max([m[0][0] for m in matches])
# right_crop_min = np.min([m[1][0] for m in matches])
right_crop... | 34.377778 | 76 | 0.571429 | 1,525 | 0.985779 | 0 | 0 | 0 | 0 | 0 | 0 | 476 | 0.307692 |
24d41b9984794f90bfe975ad6ef0215df1d22709 | 226 | py | Python | day4.py | impractical101/LeetCode-30--June | 5420685a151e5561f54e7f1a0b699015050f75c2 | [
"MIT"
] | null | null | null | day4.py | impractical101/LeetCode-30--June | 5420685a151e5561f54e7f1a0b699015050f75c2 | [
"MIT"
] | null | null | null | day4.py | impractical101/LeetCode-30--June | 5420685a151e5561f54e7f1a0b699015050f75c2 | [
"MIT"
] | null | null | null | #Submitted by thr3sh0ld
#Logic: Swap half the length of string with the other half
class Solution:
def reverseString(self, s: List[str]) -> None:
for i in range(len(s)//2):
s[i], s[-i-1] = s[-i-1], s[i] | 37.666667 | 58 | 0.606195 | 143 | 0.632743 | 0 | 0 | 0 | 0 | 0 | 0 | 81 | 0.358407 |
24d83a8fcd0daec9678d67335df10e1f6785c922 | 2,659 | py | Python | Seven/script.py | tbjoern/adventofcode | 3fb8b4e18f03825c448d8935ab39b8bf08202d90 | [
"MIT"
] | null | null | null | Seven/script.py | tbjoern/adventofcode | 3fb8b4e18f03825c448d8935ab39b8bf08202d90 | [
"MIT"
] | null | null | null | Seven/script.py | tbjoern/adventofcode | 3fb8b4e18f03825c448d8935ab39b8bf08202d90 | [
"MIT"
] | null | null | null | class TLSParser:
def __init__(self):
self.input = ["","","",""]
self.next = 0
self.ready = False
self.hypernet = False
self.TLS = False
self.TLSinHypernet = False
def reset(self):
self.ready = False
self.next = 0
self.hypernet = False
self.TLS = False
self.TLSinHypernet = False
... | 19.992481 | 155 | 0.579541 | 2,428 | 0.913125 | 0 | 0 | 0 | 0 | 0 | 0 | 46 | 0.0173 |
24d847e5d03cf7ba2d903128103f250d10a6fe3c | 511 | py | Python | set3/p3_5.py | Felpezs/IPL_2021 | eaef2baec96f16c1486f4ec5af6eff097f81fcd2 | [
"MIT"
] | 1 | 2021-07-08T19:28:06.000Z | 2021-07-08T19:28:06.000Z | set3/p3_5.py | Felpezs/IPL_2021 | eaef2baec96f16c1486f4ec5af6eff097f81fcd2 | [
"MIT"
] | null | null | null | set3/p3_5.py | Felpezs/IPL_2021 | eaef2baec96f16c1486f4ec5af6eff097f81fcd2 | [
"MIT"
] | null | null | null | def approx_derivative(f, x: int, delta = 1e-6):
return (f(x + delta) - f(x - delta))/(2 * delta)
def approx_derivative_2(f, delta = 1e-6):
def new_func(x):
return (f(x + delta) - f(x - delta))/(2 * delta)
return new_func
def approx_integral(f, lo, hi, num_regions):
area = 0
h =... | 26.894737 | 57 | 0.528376 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
24d907fd34d41b9eae0d2f44c555b225bcd543cc | 907 | py | Python | p004_test.py | pbgnz/project-euler | 8ab4549101f7a3ac2a478eb6193b2b67920c8102 | [
"MIT"
] | null | null | null | p004_test.py | pbgnz/project-euler | 8ab4549101f7a3ac2a478eb6193b2b67920c8102 | [
"MIT"
] | 1 | 2021-04-13T12:47:07.000Z | 2021-04-14T20:27:04.000Z | p004_test.py | escobot/project-euler | 8ab4549101f7a3ac2a478eb6193b2b67920c8102 | [
"MIT"
] | null | null | null | import unittest
from p004 import solution, is_palindrome
class MyTestCase(unittest.TestCase):
def test_is_palindrome_zero(self):
self.assertEqual(is_palindrome("o"), True)
def test_is_palindrome_positive_even(self):
self.assertEqual(is_palindrome("osso"), True)
def test_is_palindrome_po... | 25.914286 | 55 | 0.713341 | 797 | 0.878721 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 0.042999 |
24db619b9ab62e0704e7b2bae615ad627530f3d6 | 1,097 | py | Python | findost/foundation/log.py | BongOST/FindOST | bef3c8991b7494ad08c06ed1c9fb0bc41996ec8b | [
"Apache-2.0"
] | 1 | 2017-11-12T03:10:25.000Z | 2017-11-12T03:10:25.000Z | findost/foundation/log.py | BongOST/FindOST | bef3c8991b7494ad08c06ed1c9fb0bc41996ec8b | [
"Apache-2.0"
] | null | null | null | findost/foundation/log.py | BongOST/FindOST | bef3c8991b7494ad08c06ed1c9fb0bc41996ec8b | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- encoding:utf-8 -*-
__author__ = 'LexusLee'
"""
该模块是日志模块，负责记录整个应用的日志信息，通过继承threading.Thread类实现异步写日志，外部对象只需将日志信息交给该模块，然后直接返回，
无需等待将日志信息写到文件中，而是由该模块负责将日志信息写到文件中去，从而提高了写日志的速度
"""
import logging.config
import os
import yaml
from foundation import const
BASE_DIR = os.path.dirname(__file__)
if ... | 36.566667 | 118 | 0.759344 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 710 | 0.516364 |
24dd3da7f5133aac9176f92bd1db427450396bd2 | 1,509 | py | Python | sweat/io/generic.py | GoldenCheetah/sweatpy | eed6b34ff75c16fcbad878caded8ee4d18dea589 | [
"MIT"
] | 58 | 2018-03-10T08:26:10.000Z | 2022-03-20T11:23:50.000Z | sweat/io/generic.py | GoldenCheetah/sweatpy | eed6b34ff75c16fcbad878caded8ee4d18dea589 | [
"MIT"
] | 19 | 2018-03-10T13:09:49.000Z | 2022-03-18T10:31:19.000Z | sweat/io/generic.py | GoldenCheetah/sweatpy | eed6b34ff75c16fcbad878caded8ee4d18dea589 | [
"MIT"
] | 20 | 2018-03-09T19:16:15.000Z | 2022-03-08T00:21:38.000Z | from pathlib import Path
from typing import Generator, Union
import pandas as pd
from .fit import read_fit
from .gpx import read_gpx
from .tcx import read_tcx
def read_file(fpath: Union[str, Path], *args, **kwargs) -> pd.DataFrame:
"""This method tries to recognize the file type of the fpath argument by reading... | 26.946429 | 122 | 0.656064 | 0 | 0 | 487 | 0.32273 | 0 | 0 | 0 | 0 | 740 | 0.490391 |
24de9ab8b2a618abe1a2446b71c946a46ce2cf44 | 5,542 | py | Python | python/import_gnomad_vep.py | mkanai/slalom-paper | 3d96b1778bdb3d91ac7bf70667460a88c2db530a | [
"MIT"
] | null | null | null | python/import_gnomad_vep.py | mkanai/slalom-paper | 3d96b1778bdb3d91ac7bf70667460a88c2db530a | [
"MIT"
] | null | null | null | python/import_gnomad_vep.py | mkanai/slalom-paper | 3d96b1778bdb3d91ac7bf70667460a88c2db530a | [
"MIT"
] | null | null | null | import argparse
import hail as hl
from gnomad.utils.vep import (
process_consequences,
filter_vep_to_canonical_transcripts,
get_most_severe_consequence_for_summary,
CSQ_CODING_HIGH_IMPACT,
CSQ_CODING_MEDIUM_IMPACT,
CSQ_CODING_LOW_IMPACT,
CSQ_NON_CODING,
)
from hail.genetics import reference... | 41.358209 | 136 | 0.690184 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,326 | 0.239264 |
24df5f944ef32039cea2fd9aa8fbbb72111acef6 | 96 | py | Python | django/AIST_survey/apps.py | aistairc/voteclustering_aist | f1ee7409698a05a99ce40cdccbe4c2b1f8f81b4c | [
"MIT"
] | null | null | null | django/AIST_survey/apps.py | aistairc/voteclustering_aist | f1ee7409698a05a99ce40cdccbe4c2b1f8f81b4c | [
"MIT"
] | null | null | null | django/AIST_survey/apps.py | aistairc/voteclustering_aist | f1ee7409698a05a99ce40cdccbe4c2b1f8f81b4c | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class AistSurveyConfig(AppConfig):
name = 'AIST_survey'
| 16 | 34 | 0.770833 | 59 | 0.614583 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0.135417 |
24dfeb32f732cda7cc1bd5475ac2eba78563c4bb | 1,196 | py | Python | tests/tools.py | tkonopka/crossmap | 237e4319a77281490c4e037918977230fea43d7e | [
"MIT"
] | 1 | 2021-08-12T11:40:10.000Z | 2021-08-12T11:40:10.000Z | tests/tools.py | tkonopka/crossmap | 237e4319a77281490c4e037918977230fea43d7e | [
"MIT"
] | null | null | null | tests/tools.py | tkonopka/crossmap | 237e4319a77281490c4e037918977230fea43d7e | [
"MIT"
] | null | null | null | """
Helper functions used within the test suite
"""
import glob
from contextlib import suppress
from os import environ, remove, rmdir
from os.path import join, exists
from pymongo import MongoClient
def remove_file(files):
"""remove a single file if it exists."""
for f in files:
if exists(f):
... | 27.813953 | 78 | 0.686455 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 282 | 0.235786 |
24e0d8bb228a1463b6f322f96fa9e6a037f16d36 | 1,464 | py | Python | test/proxy_AccountPWD.py | bianQ/similarweb | 3df31af1267a285d0bc6adf720409ceb43eb56cb | [
"MIT"
] | null | null | null | test/proxy_AccountPWD.py | bianQ/similarweb | 3df31af1267a285d0bc6adf720409ceb43eb56cb | [
"MIT"
] | null | null | null | test/proxy_AccountPWD.py | bianQ/similarweb | 3df31af1267a285d0bc6adf720409ceb43eb56cb | [
"MIT"
] | null | null | null | import _thread
import time
import requests
headers = {
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8",
"User-Agent": "Mozilla/5.0 (iPhone; CPU iPhone OS 10_3_3 like Mac OS X) AppleWebKit/603.3.8 (KHTML, like Gecko) Mobile/14G60 MicroMessenger/6.5.19 NetType/4... | 24.4 | 178 | 0.592213 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 639 | 0.430013 |
24e0f61f5197a6897882718461de8c1a5db52307 | 2,150 | py | Python | IPython/core/tests/test_application.py | ivanov/ipython | 62cc379d3b454923cb48e94663f385f54ec806cc | [
"BSD-3-Clause-Clear"
] | 2 | 2015-04-21T12:12:43.000Z | 2015-04-21T12:12:54.000Z | IPython/core/tests/test_application.py | ivanov/ipython | 62cc379d3b454923cb48e94663f385f54ec806cc | [
"BSD-3-Clause-Clear"
] | 1 | 2015-07-16T22:26:53.000Z | 2015-07-16T22:26:53.000Z | IPython/core/tests/test_application.py | ivanov/ipython | 62cc379d3b454923cb48e94663f385f54ec806cc | [
"BSD-3-Clause-Clear"
] | null | null | null | # coding: utf-8
"""Tests for IPython.core.application"""
import os
import tempfile
from IPython.core.application import Application
def test_unicode_cwd():
"""Check that IPython starts with non-ascii characters in the path."""
wd = tempfile.mkdtemp(suffix=u"€")
old_wd = os.getcwdu()
os.chdir(wd)... | 31.15942 | 77 | 0.648372 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 705 | 0.327298 |
24e2ecbea1b137afbbe27a88d7fa408842091b46 | 1,131 | py | Python | examples/scripts/flatten.py | bcdev/nc2zarr | 4ba4829d78c4bda593515685729d32baa83cabc2 | [
"MIT"
] | 5 | 2021-01-08T14:16:31.000Z | 2021-09-13T04:56:40.000Z | examples/scripts/flatten.py | bcdev/nc2zarr | 4ba4829d78c4bda593515685729d32baa83cabc2 | [
"MIT"
] | 42 | 2021-01-06T11:01:12.000Z | 2022-03-04T15:46:15.000Z | examples/scripts/flatten.py | bcdev/nc2zarr | 4ba4829d78c4bda593515685729d32baa83cabc2 | [
"MIT"
] | 2 | 2020-12-28T08:51:27.000Z | 2021-08-13T12:46:04.000Z | #!/usr/bin/env python3
"""Rechunk a Zarr with chunks of size 1 in time, full size in lat/lon.
If s3fs is installed, "s3://..." arguments can be used and credentials
will be read from standard environment variables or files (see s3fs docs).
The output dataset will have the same data as the input dataset, rechunked
so... | 29.763158 | 74 | 0.709991 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 580 | 0.512821 |
24e3a042ebeec94e8e97f8bffee6f4425ba30587 | 1,056 | py | Python | alttprbot_discord/cogs/smvaria.py | compiling/sahasrahbot | 24cd1373b4a4e456562750397573f522d0326e13 | [
"MIT"
] | null | null | null | alttprbot_discord/cogs/smvaria.py | compiling/sahasrahbot | 24cd1373b4a4e456562750397573f522d0326e13 | [
"MIT"
] | null | null | null | alttprbot_discord/cogs/smvaria.py | compiling/sahasrahbot | 24cd1373b4a4e456562750397573f522d0326e13 | [
"MIT"
] | null | null | null | from discord.ext import commands
from alttprbot.exceptions import SahasrahBotException
from alttprbot.alttprgen.smvaria import generate_preset
class SuperMetroidVaria(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.group()
async def smvaria(self, ctx):
if ctx.invoked_sub... | 27.789474 | 89 | 0.63447 | 851 | 0.805871 | 0 | 0 | 743 | 0.703598 | 675 | 0.639205 | 108 | 0.102273 |
24e403742d04ac820900a705be239f8e41ce14fb | 4,724 | py | Python | algorythmic_heights/scc/scc.py | localmonkey/rosalind | dceab11d4938c1325075988be091abd3a5d25824 | [
"MIT"
] | null | null | null | algorythmic_heights/scc/scc.py | localmonkey/rosalind | dceab11d4938c1325075988be091abd3a5d25824 | [
"MIT"
] | null | null | null | algorythmic_heights/scc/scc.py | localmonkey/rosalind | dceab11d4938c1325075988be091abd3a5d25824 | [
"MIT"
] | null | null | null | #import numpy as np
class MyGrph:
def __init__(self, V_quant, E_quant):
self.V = V_quant
self.E = E_quant
self.edges_list = [[]] * (self.V)
self.reverse_edges_list = [[]] * (self.V)
def build_graph(self, f):
for i in range(0, self.E):
vertex1, vertex2 = map... | 34.481752 | 103 | 0.491956 | 4,363 | 0.923582 | 0 | 0 | 0 | 0 | 0 | 0 | 331 | 0.070068 |
24e941de480f9fd93454090b5da0fb71dc8afdca | 1,193 | py | Python | allgemein/test_tastatur.py | kanopus1958/Python | 795d0e7c3479032a71e1c1246391772619e1e6ef | [
"MIT"
] | null | null | null | allgemein/test_tastatur.py | kanopus1958/Python | 795d0e7c3479032a71e1c1246391772619e1e6ef | [
"MIT"
] | null | null | null | allgemein/test_tastatur.py | kanopus1958/Python | 795d0e7c3479032a71e1c1246391772619e1e6ef | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Programm : test_tastatur.py
# Version : 1.01
# SW-Stand : 17.02.2022
# Autor : Kanopus1958
# Beschreibung : Tastur Beispiel in Python
from rwm_steuerung import color as c
from rwm_mod01 import show_header
import platform
import sys
G_OS = ('Raspbian', 'Debian')
G_HEADER_1... | 24.854167 | 71 | 0.61777 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 417 | 0.349539 |
24ed9a457f7b83e0a213c03d5495eef7ad64ec9f | 54 | py | Python | Flask-todolist-Sqlite3-master/venv/lib/python3.6/sre_constants.py | IncredibleDraco/MyScholar | 272aafa33f7227d1bc0d937d046788cbabede453 | [
"Apache-2.0"
] | null | null | null | Flask-todolist-Sqlite3-master/venv/lib/python3.6/sre_constants.py | IncredibleDraco/MyScholar | 272aafa33f7227d1bc0d937d046788cbabede453 | [
"Apache-2.0"
] | null | null | null | Flask-todolist-Sqlite3-master/venv/lib/python3.6/sre_constants.py | IncredibleDraco/MyScholar | 272aafa33f7227d1bc0d937d046788cbabede453 | [
"Apache-2.0"
] | 1 | 2019-11-25T10:25:21.000Z | 2019-11-25T10:25:21.000Z | /home/sheldon/anaconda3/lib/python3.6/sre_constants.py | 54 | 54 | 0.851852 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
24f0c6c494f81e8ebac822ae3156cf6a71fdea70 | 197 | py | Python | update_ip/services/__init__.py | vishnuprasadnta/update-ip | 22992b6ec272ebd4f684392cad11254e463e619c | [
"BSD-3-Clause"
] | null | null | null | update_ip/services/__init__.py | vishnuprasadnta/update-ip | 22992b6ec272ebd4f684392cad11254e463e619c | [
"BSD-3-Clause"
] | null | null | null | update_ip/services/__init__.py | vishnuprasadnta/update-ip | 22992b6ec272ebd4f684392cad11254e463e619c | [
"BSD-3-Clause"
] | null | null | null | from nfsn import NearlyFreeSpeechService
from webfaction import WebFactionService
services= [WebFactionService, NearlyFreeSpeechService]
services_by_name= dict(((s.__name__,s) for s in services))
| 32.833333 | 58 | 0.84264 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
24f143f9ddcea556b1cba8c4e100e24aa5b6a03a | 2,267 | py | Python | minimal/knn/train.py | drstarry/minimal | 8c3eac110505d68dabde4d014cd0968392b640f9 | [
"MIT"
] | 2 | 2015-09-22T00:57:17.000Z | 2016-12-07T02:18:33.000Z | minimal/knn/train.py | drstarry/minimal | 8c3eac110505d68dabde4d014cd0968392b640f9 | [
"MIT"
] | null | null | null | minimal/knn/train.py | drstarry/minimal | 8c3eac110505d68dabde4d014cd0968392b640f9 | [
"MIT"
] | null | null | null | # coding: utf-8
import math
from const import CUR_FOLDER, FILE_FOLDER, FILE_TRAIN, FEATURE_NUM, K, FOLD, VALUES
def get_data(test_no):
train_data = []
test_data = []
for i in range(1, FOLD+1):
filename = CUR_FOLDER + FILE_FOLDER + FILE_TRAIN + '%i.txt' % i
with open(filename) as f:
... | 29.064103 | 84 | 0.584914 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 139 | 0.061315 |
24f18b66c7006add174b6858a066253782ef852a | 941 | py | Python | service.py | DropB1t/ClickerPy | a5142e1afcc27d6e557627dbbf75d8f224213431 | [
"MIT"
] | 1 | 2020-09-14T09:35:21.000Z | 2020-09-14T09:35:21.000Z | service.py | DropB1t/ClickerPy | a5142e1afcc27d6e557627dbbf75d8f224213431 | [
"MIT"
] | null | null | null | service.py | DropB1t/ClickerPy | a5142e1afcc27d6e557627dbbf75d8f224213431 | [
"MIT"
] | null | null | null | import socket
import struct
# Funzione send_names chiede al utente tramite l'input il suo nome da inviare al server
def send_name():
while True:
name = input('Please enter your nickname (maximum 20 characters) --> ')
if len(name) > 0 and len(name) < 21:
return name.encode('utf-8')
def connect():
ip = inpu... | 28.515152 | 87 | 0.669501 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 229 | 0.243358 |
24f20d156732daf62fc69467ac140f84f352da1e | 3,586 | py | Python | backend/otpvalidation/views.py | beehyv/workforcehealthtracker | ab0f921938e1ee50158c9d2c72a66c534d435eee | [
"Apache-2.0"
] | 2 | 2020-05-10T05:20:04.000Z | 2020-05-21T15:29:55.000Z | backend/otpvalidation/views.py | beehyv/workforcehealthtracker | ab0f921938e1ee50158c9d2c72a66c534d435eee | [
"Apache-2.0"
] | null | null | null | backend/otpvalidation/views.py | beehyv/workforcehealthtracker | ab0f921938e1ee50158c9d2c72a66c534d435eee | [
"Apache-2.0"
] | 2 | 2020-05-13T18:21:37.000Z | 2020-05-21T15:29:58.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); y... | 37.747368 | 93 | 0.706637 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,089 | 0.303681 |
24f22fdaa93b5ce8be07b713b821e2b5f86f6a5c | 12,386 | py | Python | tagnet.py | dbxinj/ynet | 01dcf26246f673ee0168b8143596ef7994c24418 | [
"Apache-2.0"
] | null | null | null | tagnet.py | dbxinj/ynet | 01dcf26246f673ee0168b8143596ef7994c24418 | [
"Apache-2.0"
] | null | null | null | tagnet.py | dbxinj/ynet | 01dcf26246f673ee0168b8143596ef7994c24418 | [
"Apache-2.0"
] | null | null | null | import ynet
from util import *
from singa.layer import Conv2D, Activation, MaxPooling2D, AvgPooling2D, Flatten, Slice, LRN
from singa import initializer
from singa import layer
from singa import loss
from singa import tensor
import cPickle as pickle
import logging
import os
import numpy as np
from numpy.core.umath_te... | 43.612676 | 182 | 0.631842 | 11,929 | 0.963104 | 0 | 0 | 0 | 0 | 0 | 0 | 1,050 | 0.084773 |
24f4cbec86839888431c70ef1f6650f036a88daa | 3,691 | py | Python | modules/verse.py | Dans-labs/shebanq | e7efffc84bcedcc8c8a21638991fb765b95713df | [
"MIT"
] | null | null | null | modules/verse.py | Dans-labs/shebanq | e7efffc84bcedcc8c8a21638991fb765b95713df | [
"MIT"
] | null | null | null | modules/verse.py | Dans-labs/shebanq | e7efffc84bcedcc8c8a21638991fb765b95713df | [
"MIT"
] | null | null | null | from textwrap import dedent
import json
from gluon import current
from constants import ONE_HOUR
from versecontent import VERSECONTENT
class VERSE:
"""Get verse data of a verse.
The verse data are the linguistic feature data for the words in a verse.
"""
def __init__(self):
pass
def g... | 29.528 | 84 | 0.455161 | 3,551 | 0.96207 | 0 | 0 | 0 | 0 | 0 | 0 | 1,262 | 0.341913 |
24f4d24d6c7cdad4b11c864d9e2589522d2bfd09 | 53,063 | py | Python | python/deccheck2.py | faradaynetworks/cdecimal | 4be4045f99d13301882b80534d7523374d6eb5ac | [
"BSD-2-Clause"
] | null | null | null | python/deccheck2.py | faradaynetworks/cdecimal | 4be4045f99d13301882b80534d7523374d6eb5ac | [
"BSD-2-Clause"
] | null | null | null | python/deccheck2.py | faradaynetworks/cdecimal | 4be4045f99d13301882b80534d7523374d6eb5ac | [
"BSD-2-Clause"
] | 1 | 2019-09-26T18:34:24.000Z | 2019-09-26T18:34:24.000Z | #!/usr/bin/env python
#
# Copyright (c) 2008-2010 Stefan Krah. 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, t... | 33.164375 | 96 | 0.585417 | 30,507 | 0.57492 | 0 | 0 | 0 | 0 | 0 | 0 | 9,210 | 0.173567 |
24f51f706d59ef12ae7c9778bb46f43394712322 | 1,362 | py | Python | server/api/processing/models/dim_reduction/umap.py | JBris/dolphin_segmentation | b1d22293720c15038d9c521aed8e7b258d8409aa | [
"MIT"
] | 1 | 2021-05-09T05:40:53.000Z | 2021-05-09T05:40:53.000Z | server/api/processing/models/dim_reduction/umap.py | JBris/dolphin_segmentation | b1d22293720c15038d9c521aed8e7b258d8409aa | [
"MIT"
] | null | null | null | server/api/processing/models/dim_reduction/umap.py | JBris/dolphin_segmentation | b1d22293720c15038d9c521aed8e7b258d8409aa | [
"MIT"
] | null | null | null | import cv2
import numpy as np
from joblib import load as model_load
from api.services.file_select import FileTask
def preprocess_images(image_files, img_size):
images = []
for file in image_files:
img = cv2.imread(file)
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
img = cv2.resize(img... | 33.219512 | 94 | 0.687225 | 381 | 0.279736 | 0 | 0 | 0 | 0 | 0 | 0 | 227 | 0.166667 |
24f660253a038a05146b9855744f65f5a06fa0cb | 6,099 | py | Python | SupportVectorMachine/support_vector_machine.py | DragonYong/Sep-Dragon | 674df34a992b449669116c5322596ffc19a21030 | [
"MIT"
] | null | null | null | SupportVectorMachine/support_vector_machine.py | DragonYong/Sep-Dragon | 674df34a992b449669116c5322596ffc19a21030 | [
"MIT"
] | 1 | 2020-09-10T04:05:06.000Z | 2020-09-10T04:05:06.000Z | SupportVectorMachine/support_vector_machine.py | DragonYong/Sep-Dragon | 674df34a992b449669116c5322596ffc19a21030 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# @Time : 2020/9/9-22:50
# @Author : TuringEmmy
# @Email : yonglonggeng@163.com
# @WeChat : csy_lgy
# @File : support_vector_machine.py
# @Project : Sep-Dragon
# *************************************************
import numpy as np
import pandas as pd
from sklearn.datasets import ... | 30.959391 | 110 | 0.490572 | 5,181 | 0.808142 | 0 | 0 | 0 | 0 | 0 | 0 | 1,093 | 0.170488 |
24f6f3452f96ca5836016613b2d46de60f6bab90 | 2,668 | py | Python | plaidml2/exec/__init__.py | winnerineast/plaidml | 7a7191507f04f0853fed34cfd471ef76aa6d489f | [
"Apache-2.0"
] | 1 | 2019-09-23T05:50:50.000Z | 2019-09-23T05:50:50.000Z | plaidml2/exec/__init__.py | kounkounsito/plaidml | 615cfce9dac7a5786a8895feadfd2aa13680d6de | [
"Apache-2.0"
] | null | null | null | plaidml2/exec/__init__.py | kounkounsito/plaidml | 615cfce9dac7a5786a8895feadfd2aa13680d6de | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Intel Corporation.
import numpy as np
import plaidml2 as plaidml
import plaidml2.settings as plaidml_settings
from plaidml2.ffi import ForeignObject, decode_str, ffi, ffi_call, lib
def __init():
ffi_call(lib.plaidml_exec_init)
ffi.init_once(__init, 'plaidml_exec_init')
def list_devices():
... | 33.772152 | 92 | 0.662294 | 1,679 | 0.62931 | 0 | 0 | 0 | 0 | 0 | 0 | 261 | 0.097826 |
24f6fd0967e1c029cb8eacd64a5cb40e6175ef0b | 13,553 | py | Python | afs/tests/lla/VolServerLLATest.py | chanke/afspy | 525e7b3b53e58be515f11b83cc59ddb0765ef8e5 | [
"BSD-2-Clause"
] | null | null | null | afs/tests/lla/VolServerLLATest.py | chanke/afspy | 525e7b3b53e58be515f11b83cc59ddb0765ef8e5 | [
"BSD-2-Clause"
] | null | null | null | afs/tests/lla/VolServerLLATest.py | chanke/afspy | 525e7b3b53e58be515f11b83cc59ddb0765ef8e5 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
"""
Unittest for the LLA module VolumeLLA
"""
from ConfigParser import ConfigParser
import datetime
import os
import sys
import time
import unittest
from afs.tests.BaseTest import parse_commandline
import afs.lla.VolServerLLA
import afs.lla.VLDBLLA
import afs
class EvaluateTestResults(unittes... | 40.822289 | 98 | 0.675422 | 12,788 | 0.943555 | 0 | 0 | 3,028 | 0.223419 | 0 | 0 | 1,555 | 0.114735 |
24f6fd157b03fbd91d14ca3cfddf6f92d4bba3b6 | 548 | py | Python | code/sf2.py | onnoeberhard/scipro-primer-notebooks | e9cf1069d62f8c50549d9912403c640f08a99392 | [
"MIT"
] | 16 | 2019-04-18T13:35:42.000Z | 2021-09-05T21:01:06.000Z | code/sf2.py | onnoeberhard/scipro-primer-notebooks | e9cf1069d62f8c50549d9912403c640f08a99392 | [
"MIT"
] | 1 | 2021-02-15T16:26:00.000Z | 2021-02-15T16:26:00.000Z | code/sf2.py | onnoeberhard/scipro-primer-notebooks | e9cf1069d62f8c50549d9912403c640f08a99392 | [
"MIT"
] | 17 | 2018-09-30T07:35:00.000Z | 2021-08-28T19:15:09.000Z | from math import pi, sin
def S(t, n, T):
return 4 / pi * sum(sin(2 * (2*i - 1) * pi * t / T) / (2*i - 1) for i in range(1, n + 1))
def f(t, T):
return 1 if 0 < t < T/2 else -1 if T/2 < t < T else 0
def test():
print(" n | alpha | error ")
print("-----+--------+----------")
T = 2*pi
for ... | 26.095238 | 93 | 0.421533 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 0.182482 |
24f791043bd9796713489db2bdf00e09dbb2fd36 | 3,831 | py | Python | luna_transformer/model.py | sooftware/luna-transformer | fc06b453478dcfd9b7979b70af1b4f4507597891 | [
"MIT"
] | 26 | 2021-07-29T18:05:39.000Z | 2022-02-04T20:03:13.000Z | luna_transformer/model.py | sooftware/luna-transformer | fc06b453478dcfd9b7979b70af1b4f4507597891 | [
"MIT"
] | null | null | null | luna_transformer/model.py | sooftware/luna-transformer | fc06b453478dcfd9b7979b70af1b4f4507597891 | [
"MIT"
] | 1 | 2021-07-31T07:30:02.000Z | 2021-07-31T07:30:02.000Z | # MIT License
#
# Copyright (c) 2021 Soohwan Kim
#
# 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, ... | 40.755319 | 113 | 0.708431 | 2,498 | 0.652049 | 0 | 0 | 0 | 0 | 0 | 0 | 1,295 | 0.338032 |
24f8fbec9bbb99a029907adb70cb243de5f2d665 | 28,356 | py | Python | sdk/python/pulumi_aws_native/eks/_inputs.py | AaronFriel/pulumi-aws-native | 5621690373ac44accdbd20b11bae3be1baf022d1 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws_native/eks/_inputs.py | AaronFriel/pulumi-aws-native | 5621690373ac44accdbd20b11bae3be1baf022d1 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws_native/eks/_inputs.py | AaronFriel/pulumi-aws-native | 5621690373ac44accdbd20b11bae3be1baf022d1 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from... | 45.661836 | 586 | 0.678481 | 27,169 | 0.958139 | 0 | 0 | 27,454 | 0.96819 | 0 | 0 | 13,050 | 0.46022 |
24f9bb21ea848732645dd95fdfaf8ef61a4a7e4b | 6,726 | py | Python | nfbackend/testboard_utils.py | neuralfoo/neuralfoo | d40388cd506d612ceee9ae10d92985c794249c65 | [
"MIT"
] | 2 | 2022-01-06T08:18:29.000Z | 2022-01-06T08:19:09.000Z | nfbackend/testboard_utils.py | neuralfoo/neuralfoo | d40388cd506d612ceee9ae10d92985c794249c65 | [
"MIT"
] | null | null | null | nfbackend/testboard_utils.py | neuralfoo/neuralfoo | d40388cd506d612ceee9ae10d92985c794249c65 | [
"MIT"
] | null | null | null | import dbops
from loguru import logger
import traceback
from bson.objectid import ObjectId
import utils
import global_vars as g
import fs_utils
def create_testboard(data,userID,organizationID):
try:
if dbops.check_if_exists("testboards","apiName",data["apiName"]):
message = "Testboard name... | 26.376471 | 113 | 0.610616 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,258 | 0.187035 |
24fc99522f8cef361d5310abdeb64520bc477f16 | 1,308 | py | Python | e-threader/mail.py | GammaGames/e-threader | 60c028a1e823ecc5ed4d20d15881d73db75e3630 | [
"MIT"
] | null | null | null | e-threader/mail.py | GammaGames/e-threader | 60c028a1e823ecc5ed4d20d15881d73db75e3630 | [
"MIT"
] | null | null | null | e-threader/mail.py | GammaGames/e-threader | 60c028a1e823ecc5ed4d20d15881d73db75e3630 | [
"MIT"
] | null | null | null | import smtplib
import os
from os.path import basename
from email.mime.application import MIMEApplication
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.utils import COMMASPACE, formatdate
GMAIL_USERNAME = client_secret=os.getenv("GMAIL_USERNAME")
GMAIL_PASSWORD = client... | 29.727273 | 75 | 0.674312 | 0 | 0 | 0 | 0 | 0 | 0 | 949 | 0.725535 | 209 | 0.159786 |