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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
d114e715dc81f76e0ec6fd8855a403351969e439 | 863 | py | Python | python/rosie/testing/run_rosie_test.py | amininger/rosie | 1cd80ba6f7548bc2e8077c38c2c497e31d38c9b8 | [
"BSD-3-Clause"
] | null | null | null | python/rosie/testing/run_rosie_test.py | amininger/rosie | 1cd80ba6f7548bc2e8077c38c2c497e31d38c9b8 | [
"BSD-3-Clause"
] | null | null | null | python/rosie/testing/run_rosie_test.py | amininger/rosie | 1cd80ba6f7548bc2e8077c38c2c497e31d38c9b8 | [
"BSD-3-Clause"
] | null | null | null | import sys
import os
from rosie.testing.TesterClient import TesterClient
if len(sys.argv) <= 2 or '-h' in sys.argv or '--help' in sys.argv:
print("python -m rosie.testing.run_rosie_test [config-file] [output-file] [FLAGS*]")
print(" -h | --help for help information")
print(" -v | --verbose for addi... | 29.758621 | 88 | 0.668598 |
dff06007bf1771ad3c3051335735f112b4efca02 | 2,436 | py | Python | spirit/user/utils/email.py | StepanBakshayev/Spirit | 28c053983d8323801d022c5314af7fdff4569228 | [
"MIT"
] | null | null | null | spirit/user/utils/email.py | StepanBakshayev/Spirit | 28c053983d8323801d022c5314af7fdff4569228 | [
"MIT"
] | null | null | null | spirit/user/utils/email.py | StepanBakshayev/Spirit | 28c053983d8323801d022c5314af7fdff4569228 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import logging
from django.contrib.sites.shortcuts import get_current_site
from django.utils.translation import ugettext as _
from django.template.loader import render_to_string
from django.core.mail import send_mail
from django.conf import settings
fro... | 32.918919 | 91 | 0.68555 |
ac2ba87fff0a86bd3e3c84867bf9070d869d611b | 6,346 | py | Python | Tello_CV2_Tracking.py | MuAuan/Tello | c2872826391d119a3988c86469521cc8cff59f9a | [
"MIT"
] | 3 | 2019-10-06T13:27:26.000Z | 2020-03-17T07:04:07.000Z | Tello_CV2_Tracking.py | MuAuan/Tello | c2872826391d119a3988c86469521cc8cff59f9a | [
"MIT"
] | null | null | null | Tello_CV2_Tracking.py | MuAuan/Tello | c2872826391d119a3988c86469521cc8cff59f9a | [
"MIT"
] | 4 | 2019-04-24T07:46:09.000Z | 2020-10-12T16:39:40.000Z | # -*- coding: utf-8 -*-
import numpy as np
import cv2
import time
from timeit import default_timer as timer
import sys
import traceback
import tellopy
import av
import numpy
from time import sleep
import math as m
def handler(event, sender, data, **args):
drone = sender
if event is drone.EVENT_FLIGHT_DATA:
... | 30.219048 | 117 | 0.536716 |
5762b9a006d6e44cf0c27196c00dc0a102c899b8 | 516 | py | Python | run/kernelguess.py | kjappelbaum/MMD-critic | ac8e48adc8b8eefdfb517baa92cb2e045a861747 | [
"MIT"
] | null | null | null | run/kernelguess.py | kjappelbaum/MMD-critic | ac8e48adc8b8eefdfb517baa92cb2e045a861747 | [
"MIT"
] | null | null | null | run/kernelguess.py | kjappelbaum/MMD-critic | ac8e48adc8b8eefdfb517baa92cb2e045a861747 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import absolute_import
import numpy as np
import click
from mmdcritic import heuristic_guess_gamma
from sklearn.preprocessing import StandardScaler
@click.command('cli')
@click.argument('xpath', type=click.Path(exists=True))
@click.argument('iterations', default=1000, type=int)... | 24.571429 | 54 | 0.738372 |
d9aca17f654c1a360cd44f0714a5c5e70c8ead9e | 9,547 | py | Python | demo/demo_loftr.py | lee-vius/LoFTR | dd9add373a20696fb6f020f4fda38bca7a91cdd9 | [
"Apache-2.0"
] | null | null | null | demo/demo_loftr.py | lee-vius/LoFTR | dd9add373a20696fb6f020f4fda38bca7a91cdd9 | [
"Apache-2.0"
] | null | null | null | demo/demo_loftr.py | lee-vius/LoFTR | dd9add373a20696fb6f020f4fda38bca7a91cdd9 | [
"Apache-2.0"
] | null | null | null | front_matter = """
------------------------------------------------------------------------
Online demo for [LoFTR](https://zju3dv.github.io/loftr/).
This demo is heavily inspired by [SuperGlue](https://github.com/magicleap/SuperGluePretrainedNetwork/).
We thank the authors for their execellent work.
-----------------... | 39.614108 | 116 | 0.585105 |
46af442963cdb11536fb6333e81ef06e2b3eb4b0 | 31,298 | py | Python | flytekit/configuration/__init__.py | aeioulisa/flytekit | 14b3a4ced183a66d0a87c06c19f71e5a1400a6a3 | [
"Apache-2.0"
] | null | null | null | flytekit/configuration/__init__.py | aeioulisa/flytekit | 14b3a4ced183a66d0a87c06c19f71e5a1400a6a3 | [
"Apache-2.0"
] | null | null | null | flytekit/configuration/__init__.py | aeioulisa/flytekit | 14b3a4ced183a66d0a87c06c19f71e5a1400a6a3 | [
"Apache-2.0"
] | null | null | null | """
=====================
Configuration
=====================
.. currentmodule:: flytekit.configuration
Flytekit Configuration Ecosystem
--------------------------------
Where can configuration come from?
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
- Command line arguments. This is the ideal location for settings to go. (Se... | 40.17715 | 209 | 0.678574 |
9d882ad6ef34912869cb431b29d4060855aef61b | 486 | py | Python | any_3_conditions.py | madhurilalitha/Test-repo | a70922a66156c1780e012b5d74017b16c962ecda | [
"MIT"
] | null | null | null | any_3_conditions.py | madhurilalitha/Test-repo | a70922a66156c1780e012b5d74017b16c962ecda | [
"MIT"
] | null | null | null | any_3_conditions.py | madhurilalitha/Test-repo | a70922a66156c1780e012b5d74017b16c962ecda | [
"MIT"
] | null | null | null | #23) Write a function to return boolean if given number satisfies ANY of the below 3 conditions. If ALL conditions fail return False
# a) x is divisible by 7
# b) x > 70 and x <=100
# c) If x is positive
def check_any_3_conditions(num):
cond1 = num%7
cond2 = num>70 and num<=100
... | 28.588235 | 133 | 0.660494 |
b2f0bbf8cb0164c7ed694fa1e67dfa2009857c19 | 10,201 | py | Python | invoke/cli.py | techtonik/invoke | f776d27b3cac96f98dd5ad9d1bb3b41a3e54346a | [
"BSD-2-Clause"
] | null | null | null | invoke/cli.py | techtonik/invoke | f776d27b3cac96f98dd5ad9d1bb3b41a3e54346a | [
"BSD-2-Clause"
] | null | null | null | invoke/cli.py | techtonik/invoke | f776d27b3cac96f98dd5ad9d1bb3b41a3e54346a | [
"BSD-2-Clause"
] | null | null | null | from functools import partial
import inspect
import os
import sys
import textwrap
from .vendor import six
from .context import Context
from .loader import FilesystemLoader, DEFAULT_COLLECTION_NAME
from .parser import Parser, Context as ParserContext, Argument
from .executor import Executor
from .exceptions import Fai... | 32.281646 | 104 | 0.588472 |
23566e364701096ae224a015cc124fec58feb909 | 1,592 | py | Python | staff/migrations/0003_auto_20211009_1556.py | koya-namba/work-schedule-app | 41891bbac5016a7b17c88b5cc85cc1110cdf3f6d | [
"MIT"
] | null | null | null | staff/migrations/0003_auto_20211009_1556.py | koya-namba/work-schedule-app | 41891bbac5016a7b17c88b5cc85cc1110cdf3f6d | [
"MIT"
] | 1 | 2021-10-03T06:20:06.000Z | 2021-10-03T06:20:55.000Z | staff/migrations/0003_auto_20211009_1556.py | koya-namba/work-schedule-app | 41891bbac5016a7b17c88b5cc85cc1110cdf3f6d | [
"MIT"
] | null | null | null | # Generated by Django 3.1.13 on 2021-10-09 06:56
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('staff', '0002_revise_staff'),
]
operations = [
migrations.AlterField(
model_name='user',
... | 31.84 | 132 | 0.580402 |
dbe58dd1ec030f1b89434af98913e9c9c7e96e76 | 5,904 | py | Python | allennlp/tests/models/simple_tagger_test.py | justindujardin/allennlp | c4559f3751775aa8bc018db417edc119d29d8051 | [
"Apache-2.0"
] | 1 | 2020-09-19T07:09:27.000Z | 2020-09-19T07:09:27.000Z | allennlp/tests/models/simple_tagger_test.py | justindujardin/allennlp | c4559f3751775aa8bc018db417edc119d29d8051 | [
"Apache-2.0"
] | null | null | null | allennlp/tests/models/simple_tagger_test.py | justindujardin/allennlp | c4559f3751775aa8bc018db417edc119d29d8051 | [
"Apache-2.0"
] | 1 | 2021-02-04T08:42:23.000Z | 2021-02-04T08:42:23.000Z | from flaky import flaky
import numpy
import pytest
import torch
from allennlp.common.testing import ModelTestCase
from allennlp.common.checks import ConfigurationError
from allennlp.common.params import Params
from allennlp.data.dataset_readers import DatasetReader
from allennlp.data.iterators import DataIterator, Bas... | 42.171429 | 97 | 0.690379 |
7ab63b097394970dde7740893aed50948fbfe4e0 | 680 | py | Python | nn/graph.py | gusdnd852/Citrus-Pest-Disease-Recognition | a0584fa42b42eadbeaf77d1dfbca1990ac5e55a2 | [
"Apache-2.0"
] | 4 | 2020-03-30T11:48:08.000Z | 2020-05-10T04:57:27.000Z | nn/graph.py | gusdnd852/citrus-pest-disease-recognition | a0584fa42b42eadbeaf77d1dfbca1990ac5e55a2 | [
"Apache-2.0"
] | 1 | 2020-04-18T06:20:50.000Z | 2020-04-18T06:20:50.000Z | nn/graph.py | gusdnd852/citrus-pest-disease-recognition | a0584fa42b42eadbeaf77d1dfbca1990ac5e55a2 | [
"Apache-2.0"
] | 2 | 2020-12-15T11:53:09.000Z | 2021-12-22T01:36:39.000Z | """
@author : Hyunwoong
@when : 2019-12-08
@homepage : https://github.com/gusdnd852
"""
import matplotlib.pyplot as plt
import re
def read(name):
f = open(name, 'r')
file = f.read()
file = re.sub('\\[', '', file)
file = re.sub('\\]', '', file)
f.close()
return [float(i) * 100.... | 21.25 | 55 | 0.589706 |
b60fb8e35bd43d91a0090ed6a3b64059965a4efd | 1,323 | py | Python | setup.py | meschac38700/django-select2-forms | b67faf46d3b11b81ae6df04a2dddca3eb5ee8645 | [
"BSD-2-Clause"
] | null | null | null | setup.py | meschac38700/django-select2-forms | b67faf46d3b11b81ae6df04a2dddca3eb5ee8645 | [
"BSD-2-Clause"
] | null | null | null | setup.py | meschac38700/django-select2-forms | b67faf46d3b11b81ae6df04a2dddca3eb5ee8645 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
import codecs
import os
from setuptools import setup, find_packages
readme_rst = os.path.join(os.path.dirname(__file__), 'README.rst')
setup(
name='django-select2-forms',
version='2.1.0',
description='Django form fields using the Select2 jQuery plugin',
long_description=codecs.op... | 32.268293 | 70 | 0.630385 |
b38e9cc1bad9de2bca4031215f5fdd85342a3408 | 4,645 | py | Python | pornhub/extractors/channel.py | blueberry-maker/pornhub-dl | e5e5b1e09f514ecb094af35edb3d6336a6cda294 | [
"MIT"
] | null | null | null | pornhub/extractors/channel.py | blueberry-maker/pornhub-dl | e5e5b1e09f514ecb094af35edb3d6336a6cda294 | [
"MIT"
] | null | null | null | pornhub/extractors/channel.py | blueberry-maker/pornhub-dl | e5e5b1e09f514ecb094af35edb3d6336a6cda294 | [
"MIT"
] | null | null | null | """Helper for extracting meta information from pornhub."""
import re
import os
import sys
import time
import requests
from bs4 import BeautifulSoup
from pornhub.models import User, Clip
from pornhub.logging import logger
from pornhub.helper import get_clip_path, link_duplicate, check_logged_out
from pornhub.download i... | 30.559211 | 85 | 0.631216 |
b5bfa3994a1b520c8be639439b9ff5b8f4351922 | 897 | py | Python | store.py | RafaAlkhamry2020/edit-and-delet-posts | e2d700431f163f8caa399e80c755e994c28e18cb | [
"MIT"
] | null | null | null | store.py | RafaAlkhamry2020/edit-and-delet-posts | e2d700431f163f8caa399e80c755e994c28e18cb | [
"MIT"
] | null | null | null | store.py | RafaAlkhamry2020/edit-and-delet-posts | e2d700431f163f8caa399e80c755e994c28e18cb | [
"MIT"
] | null | null | null | class Post:
def __init__(self, id, photo_url, name, body):
self.id = id
self.photo_url = photo_url
self.name = name
self.body = body
posts = []
class PostStore:
def get_all(self):
# get all posts
return posts
def add(self, post):
# ... | 21.878049 | 51 | 0.507246 |
6a8e779e3af216a295e19687c55ee987b06f0707 | 1,054 | py | Python | 02_DiggingDeeper/working_with_modules.py | Rockfish/PythonCourse | 1d650e49950d1987d052028139fcdfcb0bbfcc70 | [
"MIT"
] | null | null | null | 02_DiggingDeeper/working_with_modules.py | Rockfish/PythonCourse | 1d650e49950d1987d052028139fcdfcb0bbfcc70 | [
"MIT"
] | null | null | null | 02_DiggingDeeper/working_with_modules.py | Rockfish/PythonCourse | 1d650e49950d1987d052028139fcdfcb0bbfcc70 | [
"MIT"
] | null | null | null | """
Modules are files or groups of files that contain Python code.
You can import modules into your own code so that you can use the functions.
Below are common modules that come with Python
"""
#
# The os module is for working with the operating system
#
import os
#
# environ is a dictionary of environment values... | 16.215385 | 76 | 0.71537 |
488264d62148acb4ca8176db6e9501cdadcb8291 | 741 | py | Python | tests/rng_test.py | PeterBorah/ethereum-powerball | 48f5d887620c64f3a857468eec26db3de3a8a690 | [
"MIT"
] | 34 | 2015-01-22T02:13:22.000Z | 2021-06-09T03:45:49.000Z | tests/rng_test.py | PeterBorah/ethereum-powerball | 48f5d887620c64f3a857468eec26db3de3a8a690 | [
"MIT"
] | null | null | null | tests/rng_test.py | PeterBorah/ethereum-powerball | 48f5d887620c64f3a857468eec26db3de3a8a690 | [
"MIT"
] | 18 | 2015-02-09T16:45:33.000Z | 2020-12-17T08:43:03.000Z | from eth_tools import Contract, address
from nose.tools import assert_equal, assert_true
from pyethereum import tester as t
from random import randint
RANDOM_NUMBERS = 0
class TestRNG:
def setup(self):
self.state = t.state()
self.contract = Contract("contracts/rng.se", self.state)
self.sta... | 30.875 | 64 | 0.677463 |
53a57b3c7bac2bbb2579271ea25b89cde20336f7 | 1,955 | py | Python | gen2-yolo/device-decoding/main.py | crisdeodates/AI-depthai-experiments | 74b8b84a03cb637d20a7fcd091cce11add78bd2c | [
"MIT"
] | null | null | null | gen2-yolo/device-decoding/main.py | crisdeodates/AI-depthai-experiments | 74b8b84a03cb637d20a7fcd091cce11add78bd2c | [
"MIT"
] | null | null | null | gen2-yolo/device-decoding/main.py | crisdeodates/AI-depthai-experiments | 74b8b84a03cb637d20a7fcd091cce11add78bd2c | [
"MIT"
] | null | null | null | from depthai_sdk import Previews, FPSHandler
from depthai_sdk.managers import PipelineManager, PreviewManager, BlobManager, NNetManager
import depthai as dai
import cv2
import argparse
from pathlib import Path
# parse arguments
parser = argparse.ArgumentParser()
parser.add_argument("-m", "--model", help="Provide model... | 30.076923 | 116 | 0.694629 |
00c69cbada156c8ed2efd1cc6af4ce388ab0cdb9 | 2,668 | py | Python | downloaded_kernels/university_rankings/parsed_kernels/kernel_28.py | josepablocam/common-code-extraction | a6978fae73eee8ece6f1db09f2f38cf92f03b3ad | [
"MIT"
] | null | null | null | downloaded_kernels/university_rankings/parsed_kernels/kernel_28.py | josepablocam/common-code-extraction | a6978fae73eee8ece6f1db09f2f38cf92f03b3ad | [
"MIT"
] | null | null | null | downloaded_kernels/university_rankings/parsed_kernels/kernel_28.py | josepablocam/common-code-extraction | a6978fae73eee8ece6f1db09f2f38cf92f03b3ad | [
"MIT"
] | 2 | 2021-07-12T00:48:08.000Z | 2021-08-11T12:53:05.000Z | ######### INSTRUCTIONS #########
#
# Fork this script and change the university name to see what rank it gets:
#
my_university_name = ["University of California, Berkeley", "University of California-Berkeley"]
#
# Look at the log for a full list of universities you can choose from.
#
# If your university is listed unde... | 38.666667 | 127 | 0.734633 |
a6f4281c56a741f2905f581eabc84dfe4d8c3258 | 3,409 | py | Python | module4-software-testing-documentation-and-licensing/archives.py | newnativeabq/DS-Unit-3-Sprint-1-Software-Engineering | 39e3f7f7c83559f9543fd6f17ceba4db82f50895 | [
"MIT"
] | null | null | null | module4-software-testing-documentation-and-licensing/archives.py | newnativeabq/DS-Unit-3-Sprint-1-Software-Engineering | 39e3f7f7c83559f9543fd6f17ceba4db82f50895 | [
"MIT"
] | null | null | null | module4-software-testing-documentation-and-licensing/archives.py | newnativeabq/DS-Unit-3-Sprint-1-Software-Engineering | 39e3f7f7c83559f9543fd6f17ceba4db82f50895 | [
"MIT"
] | null | null | null | import os.path
import archive_builders
import archive_scanners
class Archive():
def __init__(self, path=None, input_type=None):
self.get_path(path)
self.get_input_type_from_path(self.path)
def get_path(self, path):
if path == None:
self.path = os.getcwd()
else:
self.path = os.path.abspath(path)
def... | 28.173554 | 113 | 0.73306 |
880dda42f2fca7af69168bbfcb60fb579f1e6c19 | 169 | py | Python | path.py | LauryneL/Pipographe-v2 | 33e1bfafc5936029b76cf17aa39fd51a101010b5 | [
"CC0-1.0"
] | 1 | 2021-09-28T09:43:48.000Z | 2021-09-28T09:43:48.000Z | path.py | LauryneL/Pipographe-v2 | 33e1bfafc5936029b76cf17aa39fd51a101010b5 | [
"CC0-1.0"
] | null | null | null | path.py | LauryneL/Pipographe-v2 | 33e1bfafc5936029b76cf17aa39fd51a101010b5 | [
"CC0-1.0"
] | null | null | null | import os
chemin_actuel = os.path.dirname(os.path.abspath(__file__))
print(chemin_actuel)
templates = os.path.join(chemin_actuel, "app", "templates")
print(templates)
| 21.125 | 59 | 0.775148 |
77777102b7b4427db31cb11bdc477d58ad002d47 | 795 | py | Python | src/DoingMathInPython/ch_06/charting_rules.py | bmoretz/Python-Playground | a367ec7659b85c24363c21b5c0ac25db08ffa1f6 | [
"MIT"
] | null | null | null | src/DoingMathInPython/ch_06/charting_rules.py | bmoretz/Python-Playground | a367ec7659b85c24363c21b5c0ac25db08ffa1f6 | [
"MIT"
] | null | null | null | src/DoingMathInPython/ch_06/charting_rules.py | bmoretz/Python-Playground | a367ec7659b85c24363c21b5c0ac25db08ffa1f6 | [
"MIT"
] | null | null | null | '''
Example of selecting a transformation from two equally probable transformations
'''
import matplotlib.pyplot as plt
import random
def transformation_1( p ):
x = p[ 0 ]
y = p[ 1 ]
return x + 1, y - 1
def transformation_2( p ):
x = p[ 0 ]
y = p[ 1 ]
return x + 1, y + 1
def transform( p ):
transformations... | 15.9 | 79 | 0.589937 |
a57a7c21d1c047acc49ee7dc865f9b1378f09b96 | 448 | py | Python | chapter3/http_server/http_server.py | gabrielmahia/ushuhudAI | ee40c9822852f66c6111d1d485dc676b6da70677 | [
"MIT"
] | 74 | 2020-05-19T01:08:03.000Z | 2022-03-31T14:00:41.000Z | chapter3/http_server/http_server.py | gabrielmahia/ushuhudAI | ee40c9822852f66c6111d1d485dc676b6da70677 | [
"MIT"
] | 1 | 2021-06-04T06:08:21.000Z | 2021-06-04T06:08:21.000Z | chapter3/http_server/http_server.py | gabrielmahia/ushuhudAI | ee40c9822852f66c6111d1d485dc676b6da70677 | [
"MIT"
] | 47 | 2020-05-05T12:06:31.000Z | 2022-03-10T04:45:01.000Z | import socket
mySocket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
mySocket.bind(('localhost', 8080))
mySocket.listen(5)
while True:
print('Waiting for connections')
(recvSocket, address) = mySocket.accept()
print('HTTP request received:')
print(recvSocket.recv(1024))
recvSock... | 29.866667 | 115 | 0.669643 |
ef35e13e723019d6b5bd20fd176be60e6d056b19 | 17,702 | py | Python | tests/testlib.py | polski-g/mitogen | 5b505f524a7ae170fe68613841ab92b299613d3f | [
"BSD-3-Clause"
] | 1,526 | 2017-09-15T18:49:40.000Z | 2021-01-17T16:04:12.000Z | tests/testlib.py | polski-g/mitogen | 5b505f524a7ae170fe68613841ab92b299613d3f | [
"BSD-3-Clause"
] | 682 | 2017-09-11T17:43:12.000Z | 2021-01-17T05:26:26.000Z | tests/testlib.py | moreati/mitogen | 86b1fb0f49821709fca97ea257b67a8904e3407f | [
"BSD-3-Clause"
] | 111 | 2017-09-15T23:21:37.000Z | 2021-01-01T14:45:35.000Z |
import errno
import logging
import os
import random
import re
import signal
import socket
import subprocess
import sys
import threading
import time
import traceback
import psutil
import unittest2
import mitogen.core
import mitogen.fork
import mitogen.master
import mitogen.utils
try:
import faulthandler
except I... | 30.00339 | 107 | 0.585697 |
ebb3eec6f0b79c73e49f9d853c266d33aa4051eb | 1,391 | py | Python | sft.py | CoinCheung/SFT-ReID | 2df67554732393df5a231b7281e12fc3435f1e8c | [
"MIT"
] | 22 | 2019-01-04T11:43:08.000Z | 2021-04-11T16:32:06.000Z | sft.py | CoinCheung/SFT-ReID | 2df67554732393df5a231b7281e12fc3435f1e8c | [
"MIT"
] | 1 | 2020-02-03T05:39:06.000Z | 2020-02-03T05:39:06.000Z | sft.py | CoinCheung/SFT-ReID | 2df67554732393df5a231b7281e12fc3435f1e8c | [
"MIT"
] | 7 | 2018-12-28T05:16:34.000Z | 2020-09-06T22:20:49.000Z | #!/usr/bin/python
# -*- encoding: utf-8 -*-
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
class SFT_torch(nn.Module):
def __init__(self, sigma=0.1, *args, **kwargs):
super(SFT_torch, self).__init__(*args, **kwargs)
self.sigma = sigma
def forward(self... | 26.245283 | 85 | 0.610352 |
ad647a77d75d1ff1ab41e0be8759ea0ffe3d15bf | 2,682 | py | Python | tests/ci/send_email.py | JaikumarSRajan/sunbird-devops | da862fa9f887ad04a4409ec91cd23d5b681506fe | [
"MIT"
] | 1 | 2019-04-18T09:43:03.000Z | 2019-04-18T09:43:03.000Z | tests/ci/send_email.py | JaikumarSRajan/sunbird-devops | da862fa9f887ad04a4409ec91cd23d5b681506fe | [
"MIT"
] | 1 | 2020-07-13T13:56:37.000Z | 2020-07-13T13:56:37.000Z | tests/ci/send_email.py | JaikumarSRajan/sunbird-devops | da862fa9f887ad04a4409ec91cd23d5b681506fe | [
"MIT"
] | 4 | 2018-01-08T11:39:55.000Z | 2020-04-27T11:17:19.000Z | #!/usr/bin/env python
import smtplib, os.path
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.mime.base import MIMEBase
from email import encoders
from os import path
arr = {}
with open("/tmp/tests/ci/build_info") as f:
for line in f:
name, value = line.partition(... | 38.869565 | 150 | 0.689784 |
730686b359290b250c8c6100f06f00e259bd03b4 | 2,659 | py | Python | sktime/transformers/series_as_features/interpolate.py | big-o/sktime | a25ea3bc3cd3b17c8c6e4cd6347678c810bc96ce | [
"BSD-3-Clause"
] | 2 | 2020-10-05T12:17:41.000Z | 2020-10-19T08:57:50.000Z | sktime/transformers/series_as_features/interpolate.py | pradeep5267/sktime | c2d173a978c46bab1d364dbd64252def9030d84e | [
"BSD-3-Clause"
] | null | null | null | sktime/transformers/series_as_features/interpolate.py | pradeep5267/sktime | c2d173a978c46bab1d364dbd64252def9030d84e | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
from scipy import interpolate
from sktime.transformers.series_as_features.base \
import BaseSeriesAsFeaturesTransformer
from sktime.utils.validation.series_as_features import check_X
class TSInterpolator(BaseSeriesAsFeaturesTransformer):
"""Transformer that rescales series for ano... | 33.2375 | 80 | 0.584054 |
ec34cab28f2988649c5bf1b8478763f96bd400d9 | 13,656 | py | Python | doc/integrations/pytorch/parlai/tasks/cmu_dog/agents.py | novium258/cortx-1 | ce5b939b33b8d24d89b31807ac3bcaa8f24096bc | [
"Apache-2.0"
] | 1 | 2020-09-27T05:00:06.000Z | 2020-09-27T05:00:06.000Z | doc/integrations/pytorch/parlai/tasks/cmu_dog/agents.py | novium258/cortx-1 | ce5b939b33b8d24d89b31807ac3bcaa8f24096bc | [
"Apache-2.0"
] | 1 | 2021-08-04T11:17:39.000Z | 2021-08-04T11:17:39.000Z | doc/integrations/pytorch/parlai/tasks/cmu_dog/agents.py | novium258/cortx-1 | ce5b939b33b8d24d89b31807ac3bcaa8f24096bc | [
"Apache-2.0"
] | 1 | 2021-05-03T13:27:14.000Z | 2021-05-03T13:27:14.000Z | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import copy
import json
import os
from enum import Enum
from typing import List, Optional, Tuple
from parlai.... | 36.808625 | 145 | 0.580844 |
672aac3d61aa742b3485d51f572293e4df880535 | 464 | py | Python | bluebottle/initiatives/migrations/0006_auto_20190416_1553.py | terrameijar/bluebottle | b4f5ba9c4f03e678fdd36091b29240307ea69ffd | [
"BSD-3-Clause"
] | 10 | 2015-05-28T18:26:40.000Z | 2021-09-06T10:07:03.000Z | bluebottle/initiatives/migrations/0006_auto_20190416_1553.py | terrameijar/bluebottle | b4f5ba9c4f03e678fdd36091b29240307ea69ffd | [
"BSD-3-Clause"
] | 762 | 2015-01-15T10:00:59.000Z | 2022-03-31T15:35:14.000Z | bluebottle/initiatives/migrations/0006_auto_20190416_1553.py | terrameijar/bluebottle | b4f5ba9c4f03e678fdd36091b29240307ea69ffd | [
"BSD-3-Clause"
] | 9 | 2015-02-20T13:19:30.000Z | 2022-03-08T14:09:17.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.15 on 2019-04-16 13:53
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('initiatives', '0005_initiative_hasorganization'),
]
operations = [
migrations.Rena... | 22.095238 | 59 | 0.635776 |
81ccf6bc83d81ac7653859f5d67bd80b692e469a | 1,578 | py | Python | presidio-anonymizer/setup.py | abnerzhangxinbinappen/presidio | 34b2e706195af87975ee1550e86c51990d2b82d2 | [
"MIT"
] | null | null | null | presidio-anonymizer/setup.py | abnerzhangxinbinappen/presidio | 34b2e706195af87975ee1550e86c51990d2b82d2 | [
"MIT"
] | null | null | null | presidio-anonymizer/setup.py | abnerzhangxinbinappen/presidio | 34b2e706195af87975ee1550e86c51990d2b82d2 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# noqa: D100
import os.path
from os import path
from setuptools import setup, find_packages
test_requirements = ["pytest>=3", "flake8==3.7.9", "flask==1.1.2"]
__version__ = ""
this_directory = path.abspath(path.dirname(__file__))
parent_directory = os.path.abspath(os.path.join(this_directory, o... | 32.204082 | 85 | 0.696451 |
a815328856b7fd2075a51685ad49ba204a26e28d | 1,063 | py | Python | aws/logs_monitoring/setup.py | lukeforehand/datadog-serverless-functions | 72e0ffc76e100e4cf0f01b32e2f4300d1aeb5ba4 | [
"Apache-2.0"
] | null | null | null | aws/logs_monitoring/setup.py | lukeforehand/datadog-serverless-functions | 72e0ffc76e100e4cf0f01b32e2f4300d1aeb5ba4 | [
"Apache-2.0"
] | null | null | null | aws/logs_monitoring/setup.py | lukeforehand/datadog-serverless-functions | 72e0ffc76e100e4cf0f01b32e2f4300d1aeb5ba4 | [
"Apache-2.0"
] | null | null | null | # Unless explicitly stated otherwise all files in this repository are licensed
# under the Apache License Version 2.0.
# This product includes software developed at Datadog (https://www.datadoghq.com/).
# Copyright 2020 Datadog, Inc.
from setuptools import setup
setup(
name="aws-dd-forwarder",
version="0.0.0.d... | 39.37037 | 98 | 0.637817 |
da8abc07627b1e5069d3b860228f5112a2a11a8a | 253 | py | Python | Python/basic/django/minimal/web/urls.py | caa06d9c/Python-examples | 9d90b9a9adfc343f9fdfab814cfc2b05219d6920 | [
"MIT"
] | 5 | 2019-10-28T09:56:26.000Z | 2021-09-03T04:51:18.000Z | Python/basic/django/minimal/web/urls.py | caa06d9c/Python-examples | 9d90b9a9adfc343f9fdfab814cfc2b05219d6920 | [
"MIT"
] | null | null | null | Python/basic/django/minimal/web/urls.py | caa06d9c/Python-examples | 9d90b9a9adfc343f9fdfab814cfc2b05219d6920 | [
"MIT"
] | 4 | 2019-10-28T09:56:30.000Z | 2021-09-03T04:51:23.000Z | from django.contrib import admin
from django.urls import include, path, re_path
urlpatterns = [
path('', include('root.urls')),
path('db/', include('db.urls')),
re_path('echo.*', include('echo.urls')),
path('admin/', admin.site.urls)
]
| 25.3 | 46 | 0.644269 |
24993064725cbd8eef9f23cbb9d237ca7a8874e4 | 2,439 | py | Python | src/modules/lan/portscan.py | The-Cracker-Technology/nullscan | 47fb41f17c59201a0d65a14705b4ff95fcc50a03 | [
"MIT"
] | 46 | 2020-04-18T16:42:59.000Z | 2022-01-31T22:08:52.000Z | src/modules/lan/portscan.py | The-Cracker-Technology/nullscan | 47fb41f17c59201a0d65a14705b4ff95fcc50a03 | [
"MIT"
] | null | null | null | src/modules/lan/portscan.py | The-Cracker-Technology/nullscan | 47fb41f17c59201a0d65a14705b4ff95fcc50a03 | [
"MIT"
] | 11 | 2020-04-23T12:46:18.000Z | 2022-02-04T12:53:50.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*- ########################################################
# ____ _ __ #
# ___ __ __/ / /__ ___ ______ ______(_) /___ __ #
# / _ \/ // / / (_-</ -_) __/ // / __/ / __/ // / ... | 31.269231 | 80 | 0.347273 |
ded4cfe9a9ccd0a02fae66d9d265f836a1a84950 | 29,379 | py | Python | dbcArchives/2021/000_0-sds-3-x-projects/student-project-16_group-IntrusionDetection/00_Introduction.py | r-e-x-a-g-o-n/scalable-data-science | a97451a768cf12eec9a20fbe5552bbcaf215d662 | [
"Unlicense"
] | 138 | 2017-07-25T06:48:28.000Z | 2022-03-31T12:23:36.000Z | dbcArchives/2021/000_0-sds-3-x-projects/student-project-16_group-IntrusionDetection/00_Introduction.py | r-e-x-a-g-o-n/scalable-data-science | a97451a768cf12eec9a20fbe5552bbcaf215d662 | [
"Unlicense"
] | 11 | 2017-08-17T13:45:54.000Z | 2021-06-04T09:06:53.000Z | dbcArchives/2021/000_0-sds-3-x-projects/student-project-16_group-IntrusionDetection/00_Introduction.py | r-e-x-a-g-o-n/scalable-data-science | a97451a768cf12eec9a20fbe5552bbcaf215d662 | [
"Unlicense"
] | 74 | 2017-08-18T17:04:46.000Z | 2022-03-21T14:30:51.000Z | # Databricks notebook source
# MAGIC %md
# MAGIC ScaDaMaLe Course [site](https://lamastex.github.io/scalable-data-science/sds/3/x/) and [book](https://lamastex.github.io/ScaDaMaLe/index.html)
# COMMAND ----------
# MAGIC %md
# MAGIC
# MAGIC # Intrusion Detection
# MAGIC
# MAGIC **Group Project Team**:
# MAGIC
# MA... | 51.814815 | 1,384 | 0.597365 |
ba04f7bdcff2b95a0657d6847f1978418f6a36a1 | 8,216 | py | Python | evaluation/plot_results.py | kidpaul94/masknet | f70324cfecd9c91dce532284efec02636c04af65 | [
"MIT"
] | 26 | 2020-10-21T00:40:54.000Z | 2021-12-20T07:03:09.000Z | evaluation/plot_results.py | kidpaul94/masknet | f70324cfecd9c91dce532284efec02636c04af65 | [
"MIT"
] | 2 | 2020-12-17T12:52:16.000Z | 2022-02-16T21:44:22.000Z | evaluation/plot_results.py | kidpaul94/masknet | f70324cfecd9c91dce532284efec02636c04af65 | [
"MIT"
] | 2 | 2021-05-26T05:01:21.000Z | 2021-05-28T20:20:40.000Z | import h5py
import numpy as np
import matplotlib.pyplot as plt
import os
import argparse
# Class to read results from a h5py file.
class ReadResults:
def __init__(self, file_path, various_data=True):
self.file = h5py.File(os.path.join(file_path, 'results.h5'), 'r')
self.various_data = various_data # True... | 34.961702 | 133 | 0.696203 |
e3395643c2a948e04285c98125b32a7c9ad29ef3 | 357 | py | Python | example/market/sub_mbp_increase.py | xujunhuii/huobi_Python | 958df8b22ce774329c7e15a1ecf2f52eea5f6af8 | [
"Apache-2.0"
] | null | null | null | example/market/sub_mbp_increase.py | xujunhuii/huobi_Python | 958df8b22ce774329c7e15a1ecf2f52eea5f6af8 | [
"Apache-2.0"
] | null | null | null | example/market/sub_mbp_increase.py | xujunhuii/huobi_Python | 958df8b22ce774329c7e15a1ecf2f52eea5f6af8 | [
"Apache-2.0"
] | null | null | null | from huobi.client.market import MarketClient
from huobi.constant import *
def callback(mbp_event: "MbpIncreaseEvent"):
mbp_event.print_object()
def error(e: "HuobiApiException"):
print(e.error_code + e.error_message)
market_client = MarketClient(init_log=True)
market_client.sub_mbp_increase("btcusdt,eosus... | 23.8 | 81 | 0.784314 |
66ba4b1d59178204489300ea07ee54f97e892ac1 | 66 | py | Python | notebook/dir_import_test/dir/main_absolute.py | vhn0912/python-snippets | 80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038 | [
"MIT"
] | 174 | 2018-05-30T21:14:50.000Z | 2022-03-25T07:59:37.000Z | notebook/dir_import_test/dir/main_absolute.py | vhn0912/python-snippets | 80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038 | [
"MIT"
] | 5 | 2019-08-10T03:22:02.000Z | 2021-07-12T20:31:17.000Z | notebook/dir_import_test/dir/main_absolute.py | vhn0912/python-snippets | 80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038 | [
"MIT"
] | 53 | 2018-04-27T05:26:35.000Z | 2022-03-25T07:59:37.000Z | import mod1
from dir_for_mod import mod2
mod1.func()
mod2.func()
| 11 | 28 | 0.772727 |
f73c3fd9cba6a19db395bd14e2eef3617158a82a | 3,818 | py | Python | tensorflow/contrib/data/python/ops/threadpool.py | Esail/tensorflow | 2538e68a69e585696175bd972cae119e06bde294 | [
"Apache-2.0"
] | 1 | 2019-01-03T13:49:53.000Z | 2019-01-03T13:49:53.000Z | tensorflow/contrib/data/python/ops/threadpool.py | Esail/tensorflow | 2538e68a69e585696175bd972cae119e06bde294 | [
"Apache-2.0"
] | null | null | null | tensorflow/contrib/data/python/ops/threadpool.py | Esail/tensorflow | 2538e68a69e585696175bd972cae119e06bde294 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 The TensorFlow Authors. 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 applica... | 36.361905 | 85 | 0.739916 |
b143326780f584da50bec940908af2006e1945f5 | 3,219 | py | Python | python/paddle/tests/dist_hapi_mnist_static.py | L-Net-1992/Paddle | 4d0ca02ba56760b456f3d4b42a538555b9b6c307 | [
"Apache-2.0"
] | 11 | 2016-08-29T07:43:26.000Z | 2016-08-29T07:51:24.000Z | python/paddle/tests/dist_hapi_mnist_static.py | L-Net-1992/Paddle | 4d0ca02ba56760b456f3d4b42a538555b9b6c307 | [
"Apache-2.0"
] | null | null | null | python/paddle/tests/dist_hapi_mnist_static.py | L-Net-1992/Paddle | 4d0ca02ba56760b456f3d4b42a538555b9b6c307 | [
"Apache-2.0"
] | 1 | 2021-09-24T11:23:36.000Z | 2021-09-24T11:23:36.000Z | # Copyright (c) 2020 PaddlePaddle Authors. 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 appli... | 30.657143 | 75 | 0.654862 |
4949d498291e803823c4f66ff96f52d53cd8ec05 | 2,079 | py | Python | fy22_ferry_study/address_scraper/HTML_Grab_V2.py | dvrpc/project-data-science-code | 2a12abe6c7bf5166770fdf4e52a71b8a6ed9de83 | [
"MIT"
] | null | null | null | fy22_ferry_study/address_scraper/HTML_Grab_V2.py | dvrpc/project-data-science-code | 2a12abe6c7bf5166770fdf4e52a71b8a6ed9de83 | [
"MIT"
] | null | null | null | fy22_ferry_study/address_scraper/HTML_Grab_V2.py | dvrpc/project-data-science-code | 2a12abe6c7bf5166770fdf4e52a71b8a6ed9de83 | [
"MIT"
] | null | null | null | import requests
from bs4 import BeautifulSoup
import csv
from dotenv import find_dotenv, load_dotenv
import os
from pathlib import Path
load_dotenv(find_dotenv())
GDRIVE_FOLDER = Path(os.getenv("GDRIVE_FOLDER"))
def get_list_of_urls_to_scrape(county: str = "Camden") -> list:
"""
function tests if URL with ... | 30.573529 | 124 | 0.662819 |
40550e07d1fbc48fda80fbfc8888037951128810 | 2,207 | py | Python | apiai/requests/query/text.py | ahujamoh/apiai-python-client | 77b7004f0ada5d1fa56b04ea3cbe566f49e773c6 | [
"Apache-2.0"
] | 240 | 2017-10-10T17:18:51.000Z | 2022-01-21T11:27:39.000Z | apiai/requests/query/text.py | ahujamoh/apiai-python-client | 77b7004f0ada5d1fa56b04ea3cbe566f49e773c6 | [
"Apache-2.0"
] | 24 | 2017-04-06T11:03:13.000Z | 2017-10-06T17:09:05.000Z | apiai/requests/query/text.py | ahujamoh/apiai-python-client | 77b7004f0ada5d1fa56b04ea3cbe566f49e773c6 | [
"Apache-2.0"
] | 106 | 2017-10-11T07:06:23.000Z | 2022-01-21T11:27:32.000Z | # -*- coding:utf8 -*-
# !/usr/bin/env python
# Copyright 2017 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2... | 29.039474 | 75 | 0.600816 |
97d32d0ac9f2c5657274047a18b70784ae84c361 | 5,125 | py | Python | compiler/base/lef.py | lekez2005/OpenRAM | 608e4b81f1763727e7efe087d591c76956869fe6 | [
"BSD-3-Clause"
] | null | null | null | compiler/base/lef.py | lekez2005/OpenRAM | 608e4b81f1763727e7efe087d591c76956869fe6 | [
"BSD-3-Clause"
] | null | null | null | compiler/base/lef.py | lekez2005/OpenRAM | 608e4b81f1763727e7efe087d591c76956869fe6 | [
"BSD-3-Clause"
] | null | null | null | # See LICENSE for licensing information.
#
# Copyright (c) 2016-2019 Regents of the University of California and The Board
# of Regents for the Oklahoma Agricultural and Mechanical College
# (acting for and on behalf of Oklahoma State University)
# All rights reserved.
#
import debug
from tech import layer_names
clas... | 40.354331 | 121 | 0.539902 |
f965611b44d284dab7907efbd64c24708c0a7638 | 1,912 | py | Python | DeepHyperion-MNIST/train_model.py | IharBakhanovich/DeepHyperion | f7f696ba95124125dfe967ea4890d944a9958d77 | [
"MIT"
] | 5 | 2021-04-28T09:35:44.000Z | 2021-09-10T18:18:08.000Z | DeepHyperion-MNIST/train_model.py | IharBakhanovich/DeepHyperion | f7f696ba95124125dfe967ea4890d944a9958d77 | [
"MIT"
] | null | null | null | DeepHyperion-MNIST/train_model.py | IharBakhanovich/DeepHyperion | f7f696ba95124125dfe967ea4890d944a9958d77 | [
"MIT"
] | 2 | 2021-04-26T12:46:44.000Z | 2021-09-16T08:27:53.000Z | import argparse
import sys
import numpy as np
from os import makedirs
from os.path import exists
import tensorflow as tf
CLIP_MIN = -0.5
CLIP_MAX = 0.5
K = tf.keras.backend
mnist = tf.keras.datasets.mnist
np_utils = tf.keras.utils
Sequential = tf.keras.models.Sequential
Dense = tf.keras.layers.Dense
Dropout = tf.kera... | 23.317073 | 83 | 0.622908 |
71bbbaa744c6d5faff27cbcd405d1534a5f9656d | 1,243 | py | Python | aliyun-python-sdk-cms/aliyunsdkcms/request/v20190101/EnableHostAvailabilityRequest.py | jia-jerry/aliyun-openapi-python-sdk | e90f3683a250cfec5b681b5f1d73a68f0dc9970d | [
"Apache-2.0"
] | null | null | null | aliyun-python-sdk-cms/aliyunsdkcms/request/v20190101/EnableHostAvailabilityRequest.py | jia-jerry/aliyun-openapi-python-sdk | e90f3683a250cfec5b681b5f1d73a68f0dc9970d | [
"Apache-2.0"
] | null | null | null | aliyun-python-sdk-cms/aliyunsdkcms/request/v20190101/EnableHostAvailabilityRequest.py | jia-jerry/aliyun-openapi-python-sdk | e90f3683a250cfec5b681b5f1d73a68f0dc9970d | [
"Apache-2.0"
] | null | null | null | # 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"); you may not u... | 36.558824 | 81 | 0.745776 |
3944700b0e6b98d14c3cb97346c3cd37ca572ebf | 1,067 | py | Python | restfuzz/tests/utils.py | redhat-cip/restfuzz | 3ba7b8d5b6b25be40fa69f2570b0e0af29b48e5e | [
"Apache-2.0"
] | 23 | 2015-12-03T00:40:40.000Z | 2019-03-19T05:44:20.000Z | restfuzz/tests/utils.py | redhat-cip/restfuzz | 3ba7b8d5b6b25be40fa69f2570b0e0af29b48e5e | [
"Apache-2.0"
] | null | null | null | restfuzz/tests/utils.py | redhat-cip/restfuzz | 3ba7b8d5b6b25be40fa69f2570b0e0af29b48e5e | [
"Apache-2.0"
] | 5 | 2017-08-18T10:17:43.000Z | 2021-03-04T11:31:36.000Z | # Copyright 2017 Red Hat
#
# 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, sof... | 31.382353 | 75 | 0.691659 |
4bc5b5f537a978c07f7f57fb94950bafdce97155 | 636 | py | Python | src/libs/Web3Client/tests/testEstimateGasForTransfer.py | Antuaaan/crabada.py | 7ffc97445b3034020784a6265679a841470e7893 | [
"MIT"
] | 1 | 2022-03-30T07:16:58.000Z | 2022-03-30T07:16:58.000Z | src/libs/Web3Client/tests/testEstimateGasForTransfer.py | Antuaaan/crabada.py | 7ffc97445b3034020784a6265679a841470e7893 | [
"MIT"
] | null | null | null | src/libs/Web3Client/tests/testEstimateGasForTransfer.py | Antuaaan/crabada.py | 7ffc97445b3034020784a6265679a841470e7893 | [
"MIT"
] | null | null | null | from sys import argv
from web3 import Web3
from src.common.config import nodeUri, users
from src.helpers.general import secondOrNone, thirdOrNone
from src.libs.Web3Client.AvalancheCWeb3Client import AvalancheCWeb3Client
from pprint import pprint
# VARS
client = AvalancheCWeb3Client(
nodeUri=nodeUri,
privateKe... | 21.2 | 73 | 0.762579 |
9935412066321de75f8a501a0302156fbe9b54a3 | 372 | py | Python | homepage/management/commands/createsu.py | Qlwentt/qually | 550efa326532d6fbb154f9d244905e957f30f3ea | [
"MIT"
] | 1 | 2017-06-20T23:18:15.000Z | 2017-06-20T23:18:15.000Z | homepage/management/commands/createsu.py | Qlwentt/qually | 550efa326532d6fbb154f9d244905e957f30f3ea | [
"MIT"
] | 8 | 2017-02-05T05:51:48.000Z | 2017-08-27T15:44:05.000Z | homepage/management/commands/createsu.py | Qlwentt/qually | 550efa326532d6fbb154f9d244905e957f30f3ea | [
"MIT"
] | null | null | null | import os
from django.core.management.base import BaseCommand
from django.contrib.auth.models import User
class Command(BaseCommand):
def handle(self, *args, **options):
if not User.objects.filter(username="qlwentt").exists():
User.objects.create_superuser(os.environ["ADMIN_USER_NAME"], os.en... | 33.818182 | 129 | 0.736559 |
b08499a7a0d67dc560ecbbdb8178cd0fa6e9d81a | 272 | py | Python | examples/scalability/manager/manager_config_files/config.py | code-lab-org/nost-tools | 8b325eb8e7798b71e121de0d2bf6ffc09f7b0bc0 | [
"BSD-3-Clause"
] | 1 | 2022-01-28T15:20:58.000Z | 2022-01-28T15:20:58.000Z | examples/scalability/manager/manager_config_files/config.py | code-lab-org/nost-tools | 8b325eb8e7798b71e121de0d2bf6ffc09f7b0bc0 | [
"BSD-3-Clause"
] | null | null | null | examples/scalability/manager/manager_config_files/config.py | code-lab-org/nost-tools | 8b325eb8e7798b71e121de0d2bf6ffc09f7b0bc0 | [
"BSD-3-Clause"
] | null | null | null | import os
PREFIX = os.getenv("PREFIX", "greenfield")
NAME = os.getenv("NAME", "Manager")
LOG = f"\x1b[1m[\x1b[32m{NAME}\x1b[37m]\x1b[0m"
HEADER = {
"name": NAME,
"description": f'Synchronizes a test case on the testbed on the "{PREFIX}/#" topic.',
}
SCALE = 1.0
| 22.666667 | 89 | 0.636029 |
c0bb5c6d74baa05cb1188653c060df6e2412a324 | 47,469 | py | Python | vnpy/trader/app/ctaStrategy/ctaBacktesting.py | vicjoe/vnpy | 4f0a07bddf81ec87c1e00cefcc92678e2b99b6b4 | [
"MIT"
] | 2 | 2016-07-19T08:12:11.000Z | 2017-10-12T06:02:06.000Z | vnpy/trader/app/ctaStrategy/ctaBacktesting.py | conglin/vnpy | 4f0a07bddf81ec87c1e00cefcc92678e2b99b6b4 | [
"MIT"
] | null | null | null | vnpy/trader/app/ctaStrategy/ctaBacktesting.py | conglin/vnpy | 4f0a07bddf81ec87c1e00cefcc92678e2b99b6b4 | [
"MIT"
] | 1 | 2018-11-30T02:13:44.000Z | 2018-11-30T02:13:44.000Z | # encoding: UTF-8
'''
本文件中包含的是CTA模块的回测引擎，回测引擎的API和CTA引擎一致，
可以使用和实盘相同的代码进行回测。
'''
from __future__ import division
from datetime import datetime, timedelta
from collections import OrderedDict
from itertools import product
import multiprocessing
import copy
import pymongo
import pandas as pd
import numpy as np
import m... | 36.826222 | 101 | 0.468137 |
46af2d66f92da969fcd81f11616188acdddfea9e | 887 | py | Python | bigday/urls.py | aborsu/django-wedding-website | 11c42ac3bd489d9a9550ffc1fd514253cbc7ba83 | [
"Apache-2.0"
] | null | null | null | bigday/urls.py | aborsu/django-wedding-website | 11c42ac3bd489d9a9550ffc1fd514253cbc7ba83 | [
"Apache-2.0"
] | 1 | 2019-07-04T07:06:01.000Z | 2019-07-04T07:19:36.000Z | bigday/urls.py | aborsu/django-wedding-website | 11c42ac3bd489d9a9550ffc1fd514253cbc7ba83 | [
"Apache-2.0"
] | 2 | 2018-02-17T20:18:04.000Z | 2019-09-03T02:15:32.000Z | from django.conf.urls import url, include
from django.conf.urls.i18n import i18n_patterns
from django.contrib import admin
from django.conf import settings
from django.conf.urls.static import static
from . import views
urlpatterns = [
url(r'^admin/', admin.site.urls),
# url(r'^(?P<filename>(robots.txt)|(human... | 36.958333 | 77 | 0.695603 |
02f2572a69077bad663de26fb59cc8a9f9943dc6 | 22,969 | py | Python | third_party/virtualbox/src/VBox/Devices/EFI/Firmware/BaseTools/Source/Python/Common/Expression.py | Fimbure/icebox-1 | 0b81992a53e1b410955ca89bdb6f8169d6f2da86 | [
"MIT"
] | 521 | 2019-03-29T15:44:08.000Z | 2022-03-22T09:46:19.000Z | third_party/virtualbox/src/VBox/Devices/EFI/Firmware/BaseTools/Source/Python/Common/Expression.py | Fimbure/icebox-1 | 0b81992a53e1b410955ca89bdb6f8169d6f2da86 | [
"MIT"
] | 30 | 2019-06-04T17:00:49.000Z | 2021-09-08T20:44:19.000Z | third_party/virtualbox/src/VBox/Devices/EFI/Firmware/BaseTools/Source/Python/Common/Expression.py | Fimbure/icebox-1 | 0b81992a53e1b410955ca89bdb6f8169d6f2da86 | [
"MIT"
] | 99 | 2019-03-29T16:04:13.000Z | 2022-03-28T16:59:34.000Z | ## @file
# This file is used to parse and evaluate expression in directive or PCD value.
#
# Copyright (c) 2011, Intel Corporation. All rights reserved.<BR>
# This program and the accompanying materials
# are licensed and made available under the terms and conditions of the BSD License
# which accompanies this distribu... | 36.400951 | 176 | 0.524054 |
2a02e5b1c60f33a6e2479e8db76a94706cd34d48 | 6,806 | py | Python | checkSigma_Improved.py | bmilosh/Common-Information-and-Matroid-Ports | 653908c2d1a4b9c1774573b1f95b870e7f99f875 | [
"BSD-3-Clause"
] | 1 | 2020-10-19T05:20:53.000Z | 2020-10-19T05:20:53.000Z | checkSigma_Improved.py | bmilosh/Common-Information-and-Matroid-Ports | 653908c2d1a4b9c1774573b1f95b870e7f99f875 | [
"BSD-3-Clause"
] | null | null | null | checkSigma_Improved.py | bmilosh/Common-Information-and-Matroid-Ports | 653908c2d1a4b9c1774573b1f95b870e7f99f875 | [
"BSD-3-Clause"
] | null | null | null | ##############################################################################################
############## AK Improved (using only sets that gave bounds in the prev. run) ###############
##############################################################################################
import re
from itertools import co... | 42.805031 | 150 | 0.489568 |
d35e6d6b7ced4ba81184288c4d6d047554d7134d | 1,956 | py | Python | Using_Database_in_Python/Transaction_timing/10_Roll_back_transaction_python.py | ajeyln/python_scripts_udemy | 387a027170207a12daf16c25a9592adb27e45870 | [
"MIT"
] | null | null | null | Using_Database_in_Python/Transaction_timing/10_Roll_back_transaction_python.py | ajeyln/python_scripts_udemy | 387a027170207a12daf16c25a9592adb27e45870 | [
"MIT"
] | null | null | null | Using_Database_in_Python/Transaction_timing/10_Roll_back_transaction_python.py | ajeyln/python_scripts_udemy | 387a027170207a12daf16c25a9592adb27e45870 | [
"MIT"
] | null | null | null | import sqlite3
db = sqlite3.connect("accounts.sqlite")
db.execute("CREATE TABLE IF NOT EXISTS accounts (name TEXT PRIMARY KEY NOT NULL, balance INTEGER NOT NULL)")
db.execute("CREATE TABLE IF NOT EXISTS transactions (time TIMESTAMP NOT NULL, account TEXT NOT NULL,"
" amount INTEGER NOT NULL, PRIMARY KEY (ti... | 34.315789 | 108 | 0.602249 |
85cd89c90f3bc84014bdbe46e5cb208e5c8c1df3 | 9,750 | py | Python | isolation/isolation.py | AekachaiTang/AINDP3 | b50a3d522f4e7a2b74b294a141804873ea8d8182 | [
"MIT"
] | null | null | null | isolation/isolation.py | AekachaiTang/AINDP3 | b50a3d522f4e7a2b74b294a141804873ea8d8182 | [
"MIT"
] | null | null | null | isolation/isolation.py | AekachaiTang/AINDP3 | b50a3d522f4e7a2b74b294a141804873ea8d8182 | [
"MIT"
] | null | null | null |
###############################################################################
# DO NOT MODIFY THIS FILE #
###############################################################################
from enum import IntEnum
from typing import NamedTuple
# board array dimensio... | 41.845494 | 102 | 0.553846 |
ec4a704f3f66d83666eb793d8f4e6970ec0afc96 | 8,506 | py | Python | torchtable/field/core.py | keitakurita/torchtable | e3ae98b5c5b2e809a43787a111bb30ca7f0240b9 | [
"MIT"
] | 2 | 2019-05-14T13:23:58.000Z | 2020-01-16T03:50:24.000Z | torchtable/field/core.py | keitakurita/torchtable | e3ae98b5c5b2e809a43787a111bb30ca7f0240b9 | [
"MIT"
] | null | null | null | torchtable/field/core.py | keitakurita/torchtable | e3ae98b5c5b2e809a43787a111bb30ca7f0240b9 | [
"MIT"
] | 1 | 2019-04-28T20:13:43.000Z | 2019-04-28T20:13:43.000Z | import logging
import numpy as np
import pandas as pd
import torch.utils.data
from pathlib import Path
import warnings
from ..custom_types import *
from ..utils import *
from ..operator import Operator, LambdaOperator, FillMissing, Categorize, Normalize, ToTensor, UnknownCategoryError
logger = logging.getLogger(__n... | 46.736264 | 158 | 0.662591 |
c9fac5cc04a45a4a803938abca02458a6afff46e | 6,482 | py | Python | pytorch_lightning/utilities/debugging.py | aribornstein/pytorch-lightning | ca68cac57ad8eefc9b477ee126eb42a483f27a39 | [
"Apache-2.0"
] | 1 | 2020-08-31T01:32:46.000Z | 2020-08-31T01:32:46.000Z | pytorch_lightning/utilities/debugging.py | aribornstein/pytorch-lightning | ca68cac57ad8eefc9b477ee126eb42a483f27a39 | [
"Apache-2.0"
] | 8 | 2020-10-27T22:39:24.000Z | 2021-01-24T16:41:34.000Z | pytorch_lightning/utilities/debugging.py | tarepan/pytorch-lightning | 0b7f5a88a0f4691ec228c4708295a10d403fd592 | [
"Apache-2.0"
] | null | null | null | # Copyright The PyTorch Lightning team.
#
# 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 i... | 32.572864 | 111 | 0.614625 |
44ba81fb7274f16fbaec0b5abe46e1860a91a9b8 | 2,553 | py | Python | demo_simple.py | padmalcom/Real-Time-Voice-Cloning-German | 3be5fd0d0ee4f411697a36b999f9c9fbf949c033 | [
"MIT"
] | 20 | 2020-10-25T02:12:43.000Z | 2022-02-20T20:46:07.000Z | demo_simple.py | padmalcom/Real-Time-Voice-Cloning-German | 3be5fd0d0ee4f411697a36b999f9c9fbf949c033 | [
"MIT"
] | 18 | 2020-12-22T17:09:11.000Z | 2022-01-25T07:26:25.000Z | demo_simple.py | padmalcom/Real-Time-Voice-Cloning-German | 3be5fd0d0ee4f411697a36b999f9c9fbf949c033 | [
"MIT"
] | 4 | 2021-08-25T12:23:36.000Z | 2021-12-19T11:36:39.000Z | from encoder.params_model import model_embedding_size as speaker_embedding_size
from utils.argutils import print_args
from utils.modelutils import check_model_paths
from synthesizer.inference import Synthesizer
from encoder import inference as encoder
from vocoder import inference as vocoder
from pathlib import Path
im... | 31.9125 | 93 | 0.77125 |
57590e9a95450c2634efcdc612b37008c4e6d225 | 4,398 | py | Python | test/core_tests/test_generic_units.py | joshuawall/amuse | c2034074ee76c08057c4faa96c32044ab40952e9 | [
"Apache-2.0"
] | 1 | 2019-12-28T22:47:51.000Z | 2019-12-28T22:47:51.000Z | test/core_tests/test_generic_units.py | joshuawall/amuse | c2034074ee76c08057c4faa96c32044ab40952e9 | [
"Apache-2.0"
] | null | null | null | test/core_tests/test_generic_units.py | joshuawall/amuse | c2034074ee76c08057c4faa96c32044ab40952e9 | [
"Apache-2.0"
] | 2 | 2021-11-19T04:41:37.000Z | 2021-11-20T02:11:17.000Z | from amuse.test import amusetest
from amuse.units import constants
from amuse.units.generic_unit_converter import *
class TestGenericUnits(amusetest.TestCase):
def test1(self):
L = 1 | length
T = 1 | time
V = 1 | speed
self.assertTrue(L/T == V)
def test2(self):
#natural... | 45.8125 | 119 | 0.65166 |
8efdc7c799088c5edd36aa21c53177c776efd13a | 11,668 | py | Python | core/main.py | oowais/Muses | 5eac963b9d0abc403a68daaf371b5f60c275496e | [
"MIT"
] | 3 | 2021-02-19T08:32:01.000Z | 2022-01-09T18:08:25.000Z | core/main.py | oowais/Audio-Comparison | 5eac963b9d0abc403a68daaf371b5f60c275496e | [
"MIT"
] | null | null | null | core/main.py | oowais/Audio-Comparison | 5eac963b9d0abc403a68daaf371b5f60c275496e | [
"MIT"
] | 3 | 2019-04-09T10:34:00.000Z | 2022-02-21T06:33:41.000Z | import os
import time
import sys
from itertools import chain
from core.db import Db
from core.util import sha256sum, scale, progress, sum_n
from core.thread import StartThread
from core.extractor import get_all_features, get_distance
class Main:
def __init__(self, db_name):
"""
Constructor for M... | 37.63871 | 114 | 0.544309 |
48e78b8cbb816e11f5207a43b5b398caafff608a | 18,044 | py | Python | Fuzzy_clustering/version3/DatasetManager/create_dataset_for_load.py | joesider9/forecasting_library | db07ff8f0f2693983058d49004f2fc6f8849d197 | [
"Apache-2.0"
] | null | null | null | Fuzzy_clustering/version3/DatasetManager/create_dataset_for_load.py | joesider9/forecasting_library | db07ff8f0f2693983058d49004f2fc6f8849d197 | [
"Apache-2.0"
] | null | null | null | Fuzzy_clustering/version3/DatasetManager/create_dataset_for_load.py | joesider9/forecasting_library | db07ff8f0f2693983058d49004f2fc6f8849d197 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import pandas as pd
import joblib, os, logging
from joblib import Parallel, delayed
from workalendar.europe import Greece
from scipy.interpolate import interp2d
def rescale(arr, nrows, ncol):
W, H = arr.shape
new_W, new_H = (nrows, ncol)
xrange = lambda x: np.linspace(0, 1, x)
f = i... | 44.774194 | 226 | 0.511029 |
1d7c10937f71c321e271f72ff8de16d7fe8f0172 | 914 | py | Python | bin/extract_symptom.py | Syhen/knowledge-graph | 35b35624f78ec58b3ca9f1e6eaf4a5e5ff80edc2 | [
"MIT"
] | 2 | 2019-07-01T02:18:33.000Z | 2020-01-14T11:20:44.000Z | bin/extract_symptom.py | Syhen/knowledge-graph | 35b35624f78ec58b3ca9f1e6eaf4a5e5ff80edc2 | [
"MIT"
] | null | null | null | bin/extract_symptom.py | Syhen/knowledge-graph | 35b35624f78ec58b3ca9f1e6eaf4a5e5ff80edc2 | [
"MIT"
] | 2 | 2020-03-19T10:22:34.000Z | 2022-03-06T01:41:56.000Z | # -*- coding: utf-8 -*-
"""
Author: @heyao
Created On: 2019/7/9 上午9:16
"""
import json
import os
from tqdm import tqdm
from knowledge_graph.info_extract.extractor.symptom import extract_symptoms
data = []
path = "/home/heyao/Desktop/dataset/电子病历"
for folder_name in tqdm(os.listdir(path)):
for filename in os.li... | 29.483871 | 117 | 0.643326 |
515c7187b934be650fac54a6287eb4f508d7fa8e | 846 | py | Python | v1/self_configurations/migrations/0002_auto_20201204_1557.py | DucPhamTV/Bank | 4905ec7d63ef4daafe2119bf6b32928d4db2d4f2 | [
"MIT"
] | 94 | 2020-07-12T23:08:47.000Z | 2022-03-05T14:00:01.000Z | v1/self_configurations/migrations/0002_auto_20201204_1557.py | DucPhamTV/Bank | 4905ec7d63ef4daafe2119bf6b32928d4db2d4f2 | [
"MIT"
] | 84 | 2020-07-13T23:30:50.000Z | 2022-03-15T15:47:46.000Z | v1/self_configurations/migrations/0002_auto_20201204_1557.py | DucPhamTV/Bank | 4905ec7d63ef4daafe2119bf6b32928d4db2d4f2 | [
"MIT"
] | 63 | 2020-07-13T02:46:51.000Z | 2021-11-26T09:29:29.000Z | # Generated by Django 3.1.3 on 2020-12-04 15:57
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('self_configurations', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='selfconfiguration',
name=... | 31.333333 | 157 | 0.640662 |
4e51a9ae94b3bead25d7e4d93569a4534b9c1925 | 13,689 | py | Python | code/CGAN_Patterns/plotter.py | skababji/ElecLoadsSim_V1 | d383c5c31e9533a10de87a9d74c4c5780a01fbe5 | [
"MIT"
] | 2 | 2020-07-25T15:09:45.000Z | 2020-07-28T15:34:47.000Z | code/CGAN_Patterns/plotter.py | skababji/ElecLoads_V1 | d383c5c31e9533a10de87a9d74c4c5780a01fbe5 | [
"MIT"
] | null | null | null | code/CGAN_Patterns/plotter.py | skababji/ElecLoads_V1 | d383c5c31e9533a10de87a9d74c4c5780a01fbe5 | [
"MIT"
] | 2 | 2020-07-24T23:31:25.000Z | 2020-07-27T09:27:27.000Z | import matplotlib.pyplot as plt
from matplotlib.backends.backend_pdf import PdfPages
import pandas as pd
import sys
from sklearn.metrics import confusion_matrix
from sklearn.utils.multiclass import unique_labels
import numpy as np
from CGAN_Patterns.datasets import Datasets
from CGAN_Patterns.hyperparam import Hyperp... | 43.595541 | 140 | 0.588648 |
517c33dd3255fee46de04a199549aec3b5d26503 | 2,051 | py | Python | students/K33402/Kondrashov_Egor/LR2/commerce/auctions/migrations/0012_auto_20201007_1732.py | emina13/ITMO_ICT_WebDevelopment_2021-2022 | 498a6138e352e7e0ca40d1eb301bc29416158f51 | [
"MIT"
] | 7 | 2021-09-02T08:20:58.000Z | 2022-01-12T11:48:07.000Z | students/K33402/Kondrashov_Egor/LR2/commerce/auctions/migrations/0012_auto_20201007_1732.py | emina13/ITMO_ICT_WebDevelopment_2021-2022 | 498a6138e352e7e0ca40d1eb301bc29416158f51 | [
"MIT"
] | 76 | 2021-09-17T23:01:50.000Z | 2022-03-18T16:42:03.000Z | students/K33402/Kondrashov_Egor/LR2/commerce/auctions/migrations/0012_auto_20201007_1732.py | emina13/ITMO_ICT_WebDevelopment_2021-2022 | 498a6138e352e7e0ca40d1eb301bc29416158f51 | [
"MIT"
] | 60 | 2021-09-04T16:47:39.000Z | 2022-03-21T04:41:27.000Z | # Generated by Django 3.0.6 on 2020-10-07 14:32
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('auctions', '0011_auto_20201006_1536'),
]
operations = [
migrations.CreateM... | 38.698113 | 159 | 0.626524 |
d4d3599e858ce6a52804c8c55c58c6b727d1da88 | 1,275 | py | Python | scripts/artifacts/smyfilesStored.py | qubytelogic/abrignoni-ALEAPP | 53724d5b7cacf2fb57c4aa4d10a929b4260ffb71 | [
"MIT"
] | 2 | 2020-11-18T21:43:06.000Z | 2022-03-22T14:34:50.000Z | scripts/artifacts/smyfilesStored.py | qubytelogic/abrignoni-ALEAPP | 53724d5b7cacf2fb57c4aa4d10a929b4260ffb71 | [
"MIT"
] | null | null | null | scripts/artifacts/smyfilesStored.py | qubytelogic/abrignoni-ALEAPP | 53724d5b7cacf2fb57c4aa4d10a929b4260ffb71 | [
"MIT"
] | null | null | null | import sqlite3
import textwrap
from scripts.artifact_report import ArtifactHtmlReport
from scripts.ilapfuncs import logfunc, is_platform_windows
def get_smyfilesStored(files_found, report_folder, seeker):
file_found = str(files_found[0])
db = sqlite3.connect(file_found)
cursor = db.cursor()
curso... | 31.875 | 161 | 0.669804 |
885a0729d3bba243775f44deb5f6ff5dc3eb2826 | 14,672 | py | Python | mcfly/find_architecture.py | gkbharathy/ML_Center_Netherlands | 2aeff4559ac3c479f1d795181b55115fe2c44d2a | [
"Apache-2.0"
] | null | null | null | mcfly/find_architecture.py | gkbharathy/ML_Center_Netherlands | 2aeff4559ac3c479f1d795181b55115fe2c44d2a | [
"Apache-2.0"
] | null | null | null | mcfly/find_architecture.py | gkbharathy/ML_Center_Netherlands | 2aeff4559ac3c479f1d795181b55115fe2c44d2a | [
"Apache-2.0"
] | null | null | null | #
# mcfly
#
# Copyright 2020 Netherlands eScience Center
#
# 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 l... | 39.54717 | 111 | 0.616957 |
525ba515918408f8358777855dba86d73c28651f | 6,321 | py | Python | deep_learning/train.py | amosarbiv/Tracking | 330e326ab9975a4eba3d17b415c9dd716ce18a96 | [
"MIT"
] | null | null | null | deep_learning/train.py | amosarbiv/Tracking | 330e326ab9975a4eba3d17b415c9dd716ce18a96 | [
"MIT"
] | null | null | null | deep_learning/train.py | amosarbiv/Tracking | 330e326ab9975a4eba3d17b415c9dd716ce18a96 | [
"MIT"
] | null | null | null | # import matplotlib.pyplot as plt
import numpy as np
from PIL import Image
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from collections import defaultdict
from pathlib import Path
from tensorboardX import SummaryWriter
from torch.autograd import Variable
from torch.uti... | 30.1 | 101 | 0.62237 |
f3429c5e144f2941187a7761177e9853a98974bc | 8,454 | py | Python | adi_study_watch/nrf5_sdk_15.2.0/validation/utils/cli_map.py | ArrowElectronics/Vital-Signs-Monitoring | ba43fe9a116d94170561433910fd7bffba5726e7 | [
"Unlicense"
] | 5 | 2021-06-13T17:11:19.000Z | 2021-12-01T18:20:38.000Z | adi_study_watch/nrf5_sdk_15.2.0/validation/utils/cli_map.py | ArrowElectronics/Vital-Signs-Monitoring | ba43fe9a116d94170561433910fd7bffba5726e7 | [
"Unlicense"
] | null | null | null | adi_study_watch/nrf5_sdk_15.2.0/validation/utils/cli_map.py | ArrowElectronics/Vital-Signs-Monitoring | ba43fe9a116d94170561433910fd7bffba5726e7 | [
"Unlicense"
] | 1 | 2022-01-08T15:01:44.000Z | 2022-01-08T15:01:44.000Z | from adi_study_watch_cli import cli
class CLIMap(cli.CLI):
def __init__(self, signaller, testing=True):
super().__init__(signaller, testing)
# self.watch_shell = watch_shell_obj
self.plot_dict = {'adxl': False, 'ecg': False, 'ppg': False, 'eda': False, 'temp': False, 'ped': False,
... | 41.038835 | 117 | 0.553348 |
590053998bccc172d7cd7db037a09ba400b2716f | 1,632 | py | Python | examples/src/main/python/ml/elementwise_product_example.py | yqtaowhu/Spark | a381bce7285ec30f58f28f523dfcfe0c13221bbf | [
"Apache-2.0"
] | 2,327 | 2020-03-01T09:47:34.000Z | 2021-11-25T12:38:42.000Z | examples/src/main/python/ml/elementwise_product_example.py | yqtaowhu/Spark | a381bce7285ec30f58f28f523dfcfe0c13221bbf | [
"Apache-2.0"
] | 607 | 2016-12-12T21:56:43.000Z | 2019-11-14T22:21:06.000Z | examples/src/main/python/ml/elementwise_product_example.py | yqtaowhu/Spark | a381bce7285ec30f58f28f523dfcfe0c13221bbf | [
"Apache-2.0"
] | 686 | 2020-03-03T17:24:51.000Z | 2021-11-25T23:39:12.000Z | #
# 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"); you may not us... | 37.953488 | 86 | 0.71201 |
dcf3f505d23e0c4d6c67bc5929213bf835546dfe | 780 | py | Python | alembic/versions/3e13e44bb5cb_add_layer_transparency_to_ows_layer.py | qwc-services/sogis-agdi | f278612c42f648da07448905f2b8021b279e66bc | [
"MIT"
] | null | null | null | alembic/versions/3e13e44bb5cb_add_layer_transparency_to_ows_layer.py | qwc-services/sogis-agdi | f278612c42f648da07448905f2b8021b279e66bc | [
"MIT"
] | null | null | null | alembic/versions/3e13e44bb5cb_add_layer_transparency_to_ows_layer.py | qwc-services/sogis-agdi | f278612c42f648da07448905f2b8021b279e66bc | [
"MIT"
] | null | null | null | """add layer_transparency to ows_layer
Revision ID: 3e13e44bb5cb
Revises: 617bf4751ff9
Create Date: 2018-06-13 10:56:45.033977
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '3e13e44bb5cb'
down_revision = '617bf4751ff9'
branch_labels = None
depends_on = None
... | 20.526316 | 70 | 0.687179 |
1a6174fd021b33227f8b9b386d540cc7c54d0376 | 4,553 | py | Python | keras2corgy/keras2corgy.py | Corgy/Corgy | bf56cf9f51aea6f2b7867bee9c9f20658a4475c2 | [
"WTFPL"
] | 25 | 2018-05-05T21:50:53.000Z | 2021-10-05T08:27:42.000Z | keras2corgy/keras2corgy.py | Corgy/Corgy | bf56cf9f51aea6f2b7867bee9c9f20658a4475c2 | [
"WTFPL"
] | null | null | null | keras2corgy/keras2corgy.py | Corgy/Corgy | bf56cf9f51aea6f2b7867bee9c9f20658a4475c2 | [
"WTFPL"
] | 2 | 2018-05-08T22:55:07.000Z | 2020-10-29T07:17:49.000Z | # Most of this code is credited to [hollance](https://github.com/hollance).
# I did some minor changes to suit my need.
import os
import numpy as np
import keras
from keras.models import Sequential, load_model
from keras.layers import Conv2D, MaxPooling2D
from keras.layers.advanced_activations import LeakyReLU
# gene... | 37.628099 | 102 | 0.710521 |
e8d385bc3c02085463f31240bb96dc3992215e55 | 14,788 | py | Python | djstripe/migrations/0001_initial.py | photocrowd/dj-stripe | 2b1b7e0c94e441babc0f24be798451cbd999598e | [
"BSD-3-Clause"
] | null | null | null | djstripe/migrations/0001_initial.py | photocrowd/dj-stripe | 2b1b7e0c94e441babc0f24be798451cbd999598e | [
"BSD-3-Clause"
] | null | null | null | djstripe/migrations/0001_initial.py | photocrowd/dj-stripe | 2b1b7e0c94e441babc0f24be798451cbd999598e | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import jsonfield.fields
import django.utils.timezone
from django.conf import settings
import model_utils.fields
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency... | 58.220472 | 158 | 0.594468 |
ec5dcf60fd2f64a8571638584cc3b0e2c7c2ba1c | 2,031 | py | Python | reprintmapperscriptandbatch.py | mhbeals/ReprintMapper | cd6f809c5d56ba66813ee69b712fee2c2ccf7c68 | [
"MIT"
] | null | null | null | reprintmapperscriptandbatch.py | mhbeals/ReprintMapper | cd6f809c5d56ba66813ee69b712fee2c2ccf7c68 | [
"MIT"
] | null | null | null | reprintmapperscriptandbatch.py | mhbeals/ReprintMapper | cd6f809c5d56ba66813ee69b712fee2c2ccf7c68 | [
"MIT"
] | null | null | null | # This script creates individual script files for
# running formatted match reports through the
# reprintmapper and a batch file for running all
# the scripts in sequence
start_year = 1800
end_year = 1900
counter = 1
countery = 0
year = 0
# While we are before the final year
while year < end_year:
# Set t... | 22.318681 | 73 | 0.560315 |
476a781967880ca151611bdc346e8e169962b4ca | 3,733 | py | Python | utils/ExtractLinkData.py | AaltoUAW/GisToSWMM5 | b3435006e084a14f6f0f325c0962a4c2a5213559 | [
"MIT"
] | 22 | 2017-11-20T19:14:09.000Z | 2022-01-14T10:00:31.000Z | utils/ExtractLinkData.py | AaltoUAW/GisToSWMM5 | b3435006e084a14f6f0f325c0962a4c2a5213559 | [
"MIT"
] | 3 | 2020-04-23T15:48:25.000Z | 2021-12-15T13:48:35.000Z | utils/ExtractLinkData.py | AaltoUAW/GisToSWMM5 | b3435006e084a14f6f0f325c0962a4c2a5213559 | [
"MIT"
] | 19 | 2018-07-24T18:46:52.000Z | 2022-03-27T14:56:17.000Z | #!/usr/bin/env python
"""Collate timeseries data from (many) SWMM5 report file(s) to a .csv file.
Copyright (C) 2018 Tero Niemi, Aalto University School of Engineering
TODO: Read number of columns for each link and create time series accordingly.
"""
import sys
import pandas as pd
# Check input parameters
inFiles =... | 41.021978 | 78 | 0.507367 |
844c34fb6d1a23023ee78b2563c8b4e8e6fb7a34 | 9,902 | py | Python | google-cloud-sdk/.install/.backup/lib/third_party/containerregistry/client/v2/docker_session_.py | KaranToor/MA450 | c98b58aeb0994e011df960163541e9379ae7ea06 | [
"Apache-2.0"
] | 1 | 2017-11-29T18:52:27.000Z | 2017-11-29T18:52:27.000Z | google-cloud-sdk/.install/.backup/lib/third_party/containerregistry/client/v2/docker_session_.py | KaranToor/MA450 | c98b58aeb0994e011df960163541e9379ae7ea06 | [
"Apache-2.0"
] | null | null | null | google-cloud-sdk/.install/.backup/lib/third_party/containerregistry/client/v2/docker_session_.py | KaranToor/MA450 | c98b58aeb0994e011df960163541e9379ae7ea06 | [
"Apache-2.0"
] | 1 | 2020-07-25T12:09:01.000Z | 2020-07-25T12:09:01.000Z | """This package manages pushes to and deletes from a v2 docker registry."""
import httplib
import logging
import urllib
import urlparse
import concurrent.futures
from containerregistry.client import docker_creds # pylint: disable=unused-import
from containerregistry.client import docker_name
from containerregistry... | 32.572368 | 85 | 0.660271 |
5d37720868fa212d50d144d121729a867e877e4a | 912 | py | Python | scripts/local.datalake.RemoveIamAllowedPrincipals.py | avrios/data-lake-as-code | 6944b01322368c39c2a298f9e5b05cf73067e351 | [
"MIT-0"
] | 106 | 2020-06-11T15:56:12.000Z | 2022-03-26T22:40:30.000Z | scripts/local.datalake.RemoveIamAllowedPrincipals.py | avrios/data-lake-as-code | 6944b01322368c39c2a298f9e5b05cf73067e351 | [
"MIT-0"
] | 11 | 2020-05-21T17:45:36.000Z | 2020-12-15T04:54:50.000Z | scripts/local.datalake.RemoveIamAllowedPrincipals.py | avrios/data-lake-as-code | 6944b01322368c39c2a298f9e5b05cf73067e351 | [
"MIT-0"
] | 26 | 2020-05-23T13:04:13.000Z | 2021-12-16T12:08:36.000Z | import logging
import boto3
from botocore.exceptions import ClientError
lf = boto3.client('lakeformation')
permissions = []
permissionResp = lf.list_permissions()
permissions.extend(permissionResp['PrincipalResourcePermissions'])
while 'NextToken' in permissionResp:
print(permissionResp)
permissionResp = ... | 31.448276 | 86 | 0.714912 |
78353eef576569b3b0dd40e72255ecc3fcc06849 | 1,007 | py | Python | exporter/applications/helpers/date_fields.py | django-doctor/lite-frontend | 330ff9575fd22d7c4c42698ac2d653244e6180d6 | [
"MIT"
] | 3 | 2019-05-31T06:36:17.000Z | 2020-02-12T16:02:24.000Z | exporter/applications/helpers/date_fields.py | django-doctor/lite-frontend | 330ff9575fd22d7c4c42698ac2d653244e6180d6 | [
"MIT"
] | 33 | 2019-03-28T10:20:14.000Z | 2020-07-16T15:12:43.000Z | exporter/applications/helpers/date_fields.py | django-doctor/lite-frontend | 330ff9575fd22d7c4c42698ac2d653244e6180d6 | [
"MIT"
] | 1 | 2019-05-01T15:52:02.000Z | 2019-05-01T15:52:02.000Z | import re
def format_date(data, date_field):
year = data.get(date_field + "year", "")
month = data.get(date_field + "month", "")
if len(month) == 1:
month = "0" + month
day = data.get(date_field + "day", "")
if len(day) == 1:
day = "0" + day
return f"{year}-{month}-{day}"
def... | 28.771429 | 86 | 0.63853 |
668894775f54ee66699c2196300bc2e2a9aaf0a3 | 45,163 | py | Python | tools/codegen/gen.py | jsun94/nimble | e5c899a69677818b1becc58100577441e15ede13 | [
"BSD-3-Clause"
] | 206 | 2020-11-28T22:56:38.000Z | 2022-03-27T02:33:04.000Z | tools/codegen/gen.py | jsun94/nimble | e5c899a69677818b1becc58100577441e15ede13 | [
"BSD-3-Clause"
] | 19 | 2020-12-09T23:13:14.000Z | 2022-01-24T23:24:08.000Z | tools/codegen/gen.py | jsun94/nimble | e5c899a69677818b1becc58100577441e15ede13 | [
"BSD-3-Clause"
] | 28 | 2020-11-29T15:25:12.000Z | 2022-01-20T02:16:27.000Z | import os
import contextlib
import textwrap
import itertools
from typing import List, Dict, Optional, Iterator, Tuple, Set, Callable, Any, TypeVar, Union, Sequence
import yaml
from enum import Enum
from collections import OrderedDict
import argparse
import pathlib
import functools
from tools.codegen.code_template impo... | 43.176864 | 131 | 0.651507 |
9820959facf1c4af80d479f9472889c618ab4899 | 174 | py | Python | src/core/factory/mysql/__init__.py | lucassaporetti/car-rental | 6e37032df3a399b78ed3d7998a2cb31a2a84d033 | [
"MIT"
] | 1 | 2021-02-11T18:45:12.000Z | 2021-02-11T18:45:12.000Z | src/core/factory/mysql/__init__.py | lucassaporetti/car-rental | 6e37032df3a399b78ed3d7998a2cb31a2a84d033 | [
"MIT"
] | null | null | null | src/core/factory/mysql/__init__.py | lucassaporetti/car-rental | 6e37032df3a399b78ed3d7998a2cb31a2a84d033 | [
"MIT"
] | null | null | null | # _*_ coding: utf-8 _*_
#
# Package: src.core.factory.mysql
__all__ = [
"car_factory",
"customer_factory",
"employee_factory",
"mysql_factory",
"rental_factory"
]
| 14.5 | 33 | 0.672414 |
a1965795b07a976ef798de52dc8320b9b5891bbe | 2,721 | py | Python | deep-regex-model/split_data_into_size_subfolders.py | Gkud/deep-regex | c6edd8627303c152ef90fc9b3e12b4a1adaa60c5 | [
"MIT"
] | 438 | 2016-08-11T17:27:19.000Z | 2022-01-19T15:01:52.000Z | deep-regex-model/split_data_into_size_subfolders.py | Gkud/deep-regex | c6edd8627303c152ef90fc9b3e12b4a1adaa60c5 | [
"MIT"
] | 3 | 2016-08-15T23:27:56.000Z | 2020-03-20T21:18:07.000Z | deep-regex-model/split_data_into_size_subfolders.py | Gkud/deep-regex | c6edd8627303c152ef90fc9b3e12b4a1adaa60c5 | [
"MIT"
] | 74 | 2016-08-11T20:40:08.000Z | 2022-03-21T09:03:16.000Z | import sys
import argparse
import subprocess
import os
import errno
import math
def main(arguments):
parser = argparse.ArgumentParser(
description=__doc__,
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('--data_dir',
help='Data directory', required=True, ty... | 30.920455 | 73 | 0.648291 |
e23055cea28c7b67f89d475cf0e296d6e39f087e | 413 | py | Python | migrations/versions/c1449d1d1681_.py | sartography/cr-connect-workflow | e0d1f63c082e9f4e6e3593c45d615afe04f42729 | [
"MIT"
] | 2 | 2019-12-02T12:39:21.000Z | 2022-01-10T23:31:36.000Z | migrations/versions/c1449d1d1681_.py | sartography/cr-connect-workflow | e0d1f63c082e9f4e6e3593c45d615afe04f42729 | [
"MIT"
] | 341 | 2019-12-11T15:23:59.000Z | 2022-03-22T19:36:37.000Z | migrations/versions/c1449d1d1681_.py | sartography/cr-connect-workflow | e0d1f63c082e9f4e6e3593c45d615afe04f42729 | [
"MIT"
] | 4 | 2021-03-23T19:17:14.000Z | 2022-03-10T03:12:10.000Z | """empty message
Revision ID: c1449d1d1681
Revises: abeffe547305, 8b976945a54e, 62910318009f
Create Date: 2021-05-04 13:20:55.447143
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'c1449d1d1681'
down_revision = ('abeffe547305', '8b976945a54e', '62910318009f')
... | 16.52 | 64 | 0.745763 |
b8aeb1f10e29665f9dbac3091d8865be1222b1d0 | 176 | py | Python | competitive/AtCoder/ABC101/B.py | pn11/benkyokai | 9ebdc46b529e76b7196add26dbc1e62ad48e72b0 | [
"MIT"
] | null | null | null | competitive/AtCoder/ABC101/B.py | pn11/benkyokai | 9ebdc46b529e76b7196add26dbc1e62ad48e72b0 | [
"MIT"
] | 22 | 2020-03-24T16:24:47.000Z | 2022-02-26T15:51:18.000Z | competitive/AtCoder/ABC101/B.py | pn11/benkyokai | 9ebdc46b529e76b7196add26dbc1e62ad48e72b0 | [
"MIT"
] | null | null | null | import math
import numpy as np
Nstr = input()
N = int(Nstr)
S_N = 0
for n in Nstr:
S_N += int(n)
if N % S_N == 0:
print("Yes")
else:
print("No")
| 11 | 19 | 0.505682 |
9306263202e36fe8e439188dc4e07713c69979c8 | 9,033 | py | Python | shared/data.py | AtomAnu/ERAC-VAML | 66e5283bcaeade6ce9b14a805002e24182b174e5 | [
"MIT"
] | null | null | null | shared/data.py | AtomAnu/ERAC-VAML | 66e5283bcaeade6ce9b14a805002e24182b174e5 | [
"MIT"
] | null | null | null | shared/data.py | AtomAnu/ERAC-VAML | 66e5283bcaeade6ce9b14a805002e24182b174e5 | [
"MIT"
] | null | null | null | from collections import Counter, OrderedDict
import os
import numpy as np
from torch.autograd import Variable
import torch
def interleave_keys(a, b):
"""Interleave bits from two sort keys to form a joint sort key.
Examples that are similar in both of the provided keys will have similar
values for the key... | 33.209559 | 89 | 0.579874 |
561e87e772343b7a39dd2032eb075b2063310dcd | 97,504 | py | Python | tests/models/layoutxlm/test_tokenization_layoutxlm.py | manuelciosici/transformers | c33f6046c3dab8f41bedf893404e6469dea3bce8 | [
"Apache-2.0"
] | 8,028 | 2018-11-05T15:19:44.000Z | 2019-07-16T09:14:59.000Z | tests/models/layoutxlm/test_tokenization_layoutxlm.py | ymwangg/transformers | 4a419d4995111c22d6842ee1bcd2d3f500150845 | [
"Apache-2.0"
] | 731 | 2018-11-05T21:35:52.000Z | 2019-07-16T09:51:26.000Z | tests/models/layoutxlm/test_tokenization_layoutxlm.py | ymwangg/transformers | 4a419d4995111c22d6842ee1bcd2d3f500150845 | [
"Apache-2.0"
] | 2,106 | 2018-11-05T15:29:15.000Z | 2019-07-16T08:51:57.000Z | # coding=utf-8
# Copyright 2021 The HuggingFace Inc. team.
#
# 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... | 51.317895 | 1,253 | 0.606088 |
33e78cff44189b5b09c542315a647c1c26707062 | 543 | py | Python | parrots/config.py | shibing624/parrot | 89bb3ed6218d010a8be9dc52595b42fed957cf34 | [
"Apache-2.0"
] | 121 | 2018-08-27T03:55:43.000Z | 2022-03-25T11:46:11.000Z | parrots/config.py | shibing624/parrot | 89bb3ed6218d010a8be9dc52595b42fed957cf34 | [
"Apache-2.0"
] | 10 | 2018-11-07T05:57:54.000Z | 2022-02-10T03:17:57.000Z | parrots/config.py | shibing624/parrot | 89bb3ed6218d010a8be9dc52595b42fed957cf34 | [
"Apache-2.0"
] | 41 | 2018-09-14T05:19:25.000Z | 2022-03-14T12:18:51.000Z | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import os
pwd_path = os.path.abspath(os.path.dirname(__file__))
pinyin2hanzi_dir = os.path.join(pwd_path, 'data/pinyin2hanzi')
pinyin_hanzi_dict_path = os.path.join(pwd_path, 'data/pinyin2hanzi/pinyin_hanzi_dict.txt')
speech_recognition_m... | 36.2 | 100 | 0.779006 |
d14b3fe9c0c6a3ce4bda3e0e03ec6954bc4be492 | 17,448 | py | Python | venv/lib/python3.6/site-packages/ansible_collections/fortinet/fortios/plugins/modules/fortios_system_ipsec_aggregate.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | 1 | 2020-01-22T13:11:23.000Z | 2020-01-22T13:11:23.000Z | venv/lib/python3.6/site-packages/ansible_collections/fortinet/fortios/plugins/modules/fortios_system_ipsec_aggregate.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | 12 | 2020-02-21T07:24:52.000Z | 2020-04-14T09:54:32.000Z | venv/lib/python3.6/site-packages/ansible_collections/fortinet/fortios/plugins/modules/fortios_system_ipsec_aggregate.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | null | null | null | #!/usr/bin/python
from __future__ import (absolute_import, division, print_function)
# Copyright 2019-2020 Fortinet, Inc.
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of th... | 33.171103 | 144 | 0.537483 |
be8e280dc7baa0ad54c5311ede579fcf4802e573 | 5,392 | py | Python | myexamples/phobos_pylab/kepcart.py | aquillen/phobos_deimos | 3fbe2dae07ff56b734e1fc3a0104af8ad0042019 | [
"MIT"
] | 1 | 2019-05-16T19:41:56.000Z | 2019-05-16T19:41:56.000Z | myexamples/phobos_pylab/kepcart.py | aquillen/phobos | 9586be562c62b6ccc6a41d03a1284cffc17d0d44 | [
"MIT"
] | 2 | 2017-03-27T19:57:37.000Z | 2018-06-19T20:02:28.000Z | myexamples/phobos_pylab/kepcart.py | aquillen/phobos | 9586be562c62b6ccc6a41d03a1284cffc17d0d44 | [
"MIT"
] | 1 | 2020-03-02T21:18:54.000Z | 2020-03-02T21:18:54.000Z | import numpy as np
# solve Kepler's equation, e<1 case
PREC_ecc_ano=1e-16 # precision
def ecc_ano(e,l):
du=1.0;
u0 = l + e*np.sin(l) + 0.5*e*e*np.sin(2.0*l); # first guess
#also see M+D equation 2.55
# supposed to be good to second order in e, from Brouwer+Clemence
counter=0;
wh... | 28.834225 | 83 | 0.551929 |
7df21ac0a47b46a95cdf2cea2e403601e357df64 | 2,931 | py | Python | Other/EcologyExample.py | lesyk/Evolife | 8e3dd1aab84061f7ce082f3a4b1bac0b2e31bc4a | [
"MIT"
] | null | null | null | Other/EcologyExample.py | lesyk/Evolife | 8e3dd1aab84061f7ce082f3a4b1bac0b2e31bc4a | [
"MIT"
] | null | null | null | Other/EcologyExample.py | lesyk/Evolife | 8e3dd1aab84061f7ce082f3a4b1bac0b2e31bc4a | [
"MIT"
] | null | null | null | ##############################################################################
# EVOLIFE www.dessalles.fr/Evolife Jean-Louis Dessalles #
# Telecom ParisTech 2014 www.dessalles.fr #
##############################################################################
... | 29.606061 | 111 | 0.58103 |
845465fabf2b5d780bfb478e31259c28e1da3eab | 807 | py | Python | manage.py | mbranko/kartonpmv | cfc73e50c7382f118d4840a46eb600139ab13cbb | [
"MIT"
] | null | null | null | manage.py | mbranko/kartonpmv | cfc73e50c7382f118d4840a46eb600139ab13cbb | [
"MIT"
] | null | null | null | manage.py | mbranko/kartonpmv | cfc73e50c7382f118d4840a46eb600139ab13cbb | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import os
import sys
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "kartonpmv.settings")
try:
from django.core.management import execute_from_command_line
except ImportError:
# The above import may fail for some other reason. Ensure that th... | 35.086957 | 77 | 0.643123 |
382a16bd77c8bad741a6c0208569263939d30d5b | 1,311 | py | Python | app/tests/__init__.py | josepmartorell/Troubleshoot-webScraping-Miniblog | d744bfdabf6969a9277f865a744853a715934c3c | [
"Apache-2.0"
] | null | null | null | app/tests/__init__.py | josepmartorell/Troubleshoot-webScraping-Miniblog | d744bfdabf6969a9277f865a744853a715934c3c | [
"Apache-2.0"
] | null | null | null | app/tests/__init__.py | josepmartorell/Troubleshoot-webScraping-Miniblog | d744bfdabf6969a9277f865a744853a715934c3c | [
"Apache-2.0"
] | null | null | null | import unittest
from app import create_app, db
from app.auth.models import User
class BaseTestClass(unittest.TestCase):
def setUp(self):
"""Define test variables and initialize app."""
self.app = create_app(settings_module="config.testing")
self.client = self.app.test_client()
#... | 30.488372 | 78 | 0.610221 |
7ad6c2be65b1aa3ace8d74b739d7b6e6b275604a | 5,791 | py | Python | libbeat/scripts/generate_index_pattern.py | exekias/beats | d4a6f71c48ba7f7720f0b8ce8325eb7772eb98b6 | [
"Apache-2.0"
] | 10 | 2017-10-21T12:06:54.000Z | 2021-11-30T06:19:29.000Z | libbeat/scripts/generate_index_pattern.py | exekias/beats | d4a6f71c48ba7f7720f0b8ce8325eb7772eb98b6 | [
"Apache-2.0"
] | null | null | null | libbeat/scripts/generate_index_pattern.py | exekias/beats | d4a6f71c48ba7f7720f0b8ce8325eb7772eb98b6 | [
"Apache-2.0"
] | 6 | 2017-12-22T06:43:42.000Z | 2019-10-10T02:22:31.000Z | #!/usr/bin/env python
"""
This script generates the index-pattern for Kibana from
the fields.yml file.
"""
import yaml
import argparse
import string
import re
import json
import os
import errno
import sys
unique_fields = []
def fields_to_json(fields, section, path, output):
# Need in case there are no fields
... | 28.24878 | 108 | 0.574858 |
ef21bb564bd152a9d54d6ae15a36bb04837a54d0 | 397 | py | Python | content_management/migrations/0005_content_reviewed_on.py | SolarSPELL-Main/solarspell-dlms | ae2efed0dd0e9d45d4e6a1c2b05742dbd204d0b7 | [
"MIT"
] | null | null | null | content_management/migrations/0005_content_reviewed_on.py | SolarSPELL-Main/solarspell-dlms | ae2efed0dd0e9d45d4e6a1c2b05742dbd204d0b7 | [
"MIT"
] | 16 | 2021-05-03T18:03:48.000Z | 2022-03-12T00:57:38.000Z | content_management/migrations/0005_content_reviewed_on.py | mattjurenka/solarspell-dlms | 0a15c06d928970d87cbba39a92f74a2e1c7011b1 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.4 on 2020-07-17 15:31
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('content_management', '0004_auto_20200717_1336'),
]
operations = [
migrations.AddField(
model_name='content',
name='r... | 20.894737 | 58 | 0.609572 |
ad373ace3e2ac0cf30657ce09e8308da6c4911c4 | 2,378 | py | Python | tests/test_headers.py | Lagicrus/sanic | 343090704641c2380d98bdb1e068574e466cc186 | [
"MIT"
] | 2 | 2021-02-20T12:22:10.000Z | 2021-02-20T12:26:15.000Z | tests/test_headers.py | Lagicrus/sanic | 343090704641c2380d98bdb1e068574e466cc186 | [
"MIT"
] | 11 | 2021-07-10T17:14:47.000Z | 2022-02-24T07:32:36.000Z | tests/test_headers.py | Lagicrus/sanic | 343090704641c2380d98bdb1e068574e466cc186 | [
"MIT"
] | null | null | null | import pytest
from sanic import headers
@pytest.mark.parametrize(
"input, expected",
[
("text/plain", ("text/plain", {})),
("text/vnd.just.made.this.up ; ", ("text/vnd.just.made.this.up", {})),
(
"text/plain;charset=us-ascii",
("text/plain", {"charset": "us-asc... | 37.15625 | 85 | 0.464256 |
005db6b572d5dba9c6b7bc52dc6969898b1a92d3 | 716 | py | Python | Statistics/Variance.py | curiousbasil/statscalc1-sql | fde9c4ba565de79710d9f396233a58f50b94f52e | [
"MIT"
] | 1 | 2020-06-28T18:59:48.000Z | 2020-06-28T18:59:48.000Z | Statistics/Variance.py | ssempax1/statscalc1 | 6ad529d57af657aa40b223bb332ffb1b915bfba2 | [
"MIT"
] | 1 | 2019-11-17T02:41:15.000Z | 2019-11-17T02:41:15.000Z | Statistics/Variance.py | ssempax1/statscalc1 | 6ad529d57af657aa40b223bb332ffb1b915bfba2 | [
"MIT"
] | 2 | 2019-11-17T01:35:37.000Z | 2020-06-28T18:59:50.000Z | from Calculator.Squared import squared
from Calculator.Division import division
from Statistics.Mean import mean
from Calculator.Subtraction import subtraction
def variance(val1, val2, val3, val4, val5, val6, val7, val8, val9, val10):
try:
variance_values = [val1, val2, val3, val4, val5, val6, val7, val8,... | 39.777778 | 87 | 0.687151 |
442c8b843be5b9fe9490f142d7992347dc1b8367 | 662 | py | Python | src/sympc/session/session_utils.py | Boluwatifeh/SyMPC | 19b86b8d47f2d69a9c9c5f431bf1ca89951346f0 | [
"MIT"
] | null | null | null | src/sympc/session/session_utils.py | Boluwatifeh/SyMPC | 19b86b8d47f2d69a9c9c5f431bf1ca89951346f0 | [
"MIT"
] | null | null | null | src/sympc/session/session_utils.py | Boluwatifeh/SyMPC | 19b86b8d47f2d69a9c9c5f431bf1ca89951346f0 | [
"MIT"
] | null | null | null | """Function for accessing the current session."""
# stdlib
from typing import Optional
import sympc.session
from .session import Session
def get_session(uuid_str: str) -> Optional[Session]:
"""Gets the current session for a party as defined in the global space.
Args:
uuid_str (str): used to retriev... | 22.066667 | 75 | 0.688822 |
1ea930d6844f07a36c3529ef573882fb710d195f | 2,361 | py | Python | alembic/env.py | python-discord/code-jam-management | b6b91357f0afa69f875336917a72ea771eb13556 | [
"MIT"
] | 6 | 2021-06-07T17:29:23.000Z | 2022-02-25T23:36:16.000Z | alembic/env.py | python-discord/code-jam-management | b6b91357f0afa69f875336917a72ea771eb13556 | [
"MIT"
] | 4 | 2021-09-04T13:53:40.000Z | 2021-12-30T23:13:59.000Z | alembic/env.py | python-discord/code-jam-management | b6b91357f0afa69f875336917a72ea771eb13556 | [
"MIT"
] | 2 | 2021-06-07T17:18:15.000Z | 2021-06-14T19:32:33.000Z | import asyncio
from logging.config import fileConfig
from alembic import context
from sqlalchemy import engine_from_config, pool
from sqlalchemy.ext.asyncio import AsyncEngine
from sqlalchemy.ext.asyncio.engine import AsyncConnection
# This is a required step by Alembic to properly generate migrations
from api import... | 27.453488 | 68 | 0.715798 |
d1b1cce29b518a90072f3546b058e03fa2b203df | 877 | py | Python | src/learning_to_simulate/plot_loss_curves.py | sassafras13/gnn-dna-sim | 458ad35aa64771955f3ef78f1351ca37bcb529ac | [
"MIT"
] | null | null | null | src/learning_to_simulate/plot_loss_curves.py | sassafras13/gnn-dna-sim | 458ad35aa64771955f3ef78f1351ca37bcb529ac | [
"MIT"
] | null | null | null | src/learning_to_simulate/plot_loss_curves.py | sassafras13/gnn-dna-sim | 458ad35aa64771955f3ef78f1351ca37bcb529ac | [
"MIT"
] | null | null | null | # plot loss curves for training and validation
# import data using pandas
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
font = {'family' : 'normal',
'weight' : 'bold',
'size' : 18}
plt.rc('font', **font)
dirname = "/home/emma/gnn_dna/rollouts/llama-c3/"
trainfilename = "tr... | 24.361111 | 75 | 0.694413 |
2e285c6251eef51a65338336943b1b11b5c35fee | 1,485 | py | Python | upwork/routers/organization/companies.py | upwork/python-upwork | 63aa5ebfd91cbf6f019437358f3e89d0e3bc29aa | [
"Apache-2.0"
] | 150 | 2015-05-28T19:09:33.000Z | 2022-03-22T16:56:33.000Z | upwork/routers/organization/companies.py | Top-coder-1/python-upwork | 0671e1e90cc2d770be4f96ae4bfb21bc111dd122 | [
"Apache-2.0"
] | 38 | 2015-05-28T18:45:55.000Z | 2021-06-14T09:34:27.000Z | upwork/routers/organization/companies.py | upwork/python-upwork-oauth2 | 5a10558a5c4479e7aea462fec0193db40ecde9e2 | [
"Apache-2.0"
] | 61 | 2015-09-01T06:39:25.000Z | 2021-11-09T12:29:57.000Z | # Licensed under the Upwork's API Terms of Use;
# you may not use this file except in compliance with the Terms.
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or i... | 29.7 | 86 | 0.677441 |
fe7ebe4f4fb51c3a7209fde8e1a0d3f7badf07be | 7,727 | py | Python | venv/Lib/site-packages/pandas/tests/extension/decimal/array.py | ajayiagbebaku/NFL-Model | afcc67a85ca7138c58c3334d45988ada2da158ed | [
"MIT"
] | 28,899 | 2016-10-13T03:32:12.000Z | 2022-03-31T21:39:05.000Z | venv/Lib/site-packages/pandas/tests/extension/decimal/array.py | ajayiagbebaku/NFL-Model | afcc67a85ca7138c58c3334d45988ada2da158ed | [
"MIT"
] | 31,004 | 2016-10-12T23:22:27.000Z | 2022-03-31T23:17:38.000Z | venv/Lib/site-packages/pandas/tests/extension/decimal/array.py | ajayiagbebaku/NFL-Model | afcc67a85ca7138c58c3334d45988ada2da158ed | [
"MIT"
] | 15,149 | 2016-10-13T03:21:31.000Z | 2022-03-31T18:46:47.000Z | from __future__ import annotations
import decimal
import numbers
import random
import sys
import numpy as np
from pandas._typing import type_t
from pandas.core.dtypes.base import ExtensionDtype
from pandas.core.dtypes.common import (
is_dtype_equal,
is_float,
pandas_dtype,
)
import pandas as pd
from pa... | 29.492366 | 85 | 0.61861 |
cd32f1dc0d26031efe5c4e916882e1f0ee078cf3 | 15,842 | py | Python | src/luna1/util_terra.py | hodgerpodger/staketaxcsv | d341fc8e54225aafd5401e89daaf9b71cdb1e1a4 | [
"MIT"
] | 140 | 2021-12-11T23:37:46.000Z | 2022-03-29T23:04:36.000Z | src/luna1/util_terra.py | hodgerpodger/staketaxcsv | d341fc8e54225aafd5401e89daaf9b71cdb1e1a4 | [
"MIT"
] | 80 | 2021-12-17T15:13:47.000Z | 2022-03-31T13:33:53.000Z | src/luna1/util_terra.py | hodgerpodger/staketaxcsv | d341fc8e54225aafd5401e89daaf9b71cdb1e1a4 | [
"MIT"
] | 52 | 2021-12-12T00:37:17.000Z | 2022-03-29T23:25:09.000Z | """ Parsing and utility functions for fcd tx info """
import base64
import json
import logging
from settings_csv import TERRA_LCD_NODE
from luna1.api_lcd import LcdAPI
from luna1.config_luna1 import localconfig
import common.ibc.api_lcd
from luna1.constants import CUR_UST
def _contracts(elem):
out = []
coun... | 32.935551 | 113 | 0.615516 |
c9c6ddd4f518de416d37e72a606e92935fe9d062 | 2,393 | py | Python | eegnb/experiments/visual_p300/p300_stripes.py | jnaulty/eeg-notebooks-1 | 525d27ba9f001e07ffec7e93984b6c65da181625 | [
"BSD-3-Clause"
] | 13 | 2018-11-08T13:51:29.000Z | 2021-12-09T23:37:28.000Z | eegnb/experiments/visual_p300/p300_stripes.py | jnaulty/eeg-notebooks-1 | 525d27ba9f001e07ffec7e93984b6c65da181625 | [
"BSD-3-Clause"
] | 22 | 2019-01-21T19:30:22.000Z | 2019-03-17T03:35:08.000Z | eegnb/experiments/visual_p300/p300_stripes.py | jnaulty/eeg-notebooks-1 | 525d27ba9f001e07ffec7e93984b6c65da181625 | [
"BSD-3-Clause"
] | 6 | 2019-01-24T16:14:18.000Z | 2021-04-06T19:16:06.000Z | import numpy as np
from pandas import DataFrame
from psychopy import visual, core, event
from time import time, strftime, gmtime
from optparse import OptionParser
from pylsl import StreamInfo, StreamOutlet
def present(duration,subject,run):
# create
info = StreamInfo('Markers', 'Markers', 1, 0, 'int32', 'myu... | 27.825581 | 75 | 0.574175 |
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