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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3b7f19efe5226324127b16d1d9afc2df6edb7254 | 1,891 | py | Python | list_2d_2.py | min-xu-ai/py_perf | ba9f07eefc8031a34fe77f19fc6be19d08344bff | [
"MIT"
] | null | null | null | list_2d_2.py | min-xu-ai/py_perf | ba9f07eefc8031a34fe77f19fc6be19d08344bff | [
"MIT"
] | null | null | null | list_2d_2.py | min-xu-ai/py_perf | ba9f07eefc8031a34fe77f19fc6be19d08344bff | [
"MIT"
] | null | null | null | #!/usr/bin/env pypy3
'''
Testing 2D list (list of lists) data structure.
'''
import time
import random
from lib import benchmark, random_tuple
g_list = []
g_size = 0
g_count = 0
g_get_keys = []
g_set_keys = []
def setup(size, density):
''' Populated the table.
:param int size: total entries
:param flo... | 21.735632 | 66 | 0.561079 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 266 | 0.140666 |
3b7f2b6e0d9ea9418bfa786631467a10dace678f | 10,622 | py | Python | src/stepfunctions/inputs/placeholders.py | ParidelPooya/aws-step-functions-data-science-sdk-python | 173b4635d8fb3ce569515bcfb6fee1d5a2c29b63 | [
"Apache-2.0"
] | 211 | 2019-11-07T17:56:56.000Z | 2022-03-23T03:04:43.000Z | src/stepfunctions/inputs/placeholders.py | ParidelPooya/aws-step-functions-data-science-sdk-python | 173b4635d8fb3ce569515bcfb6fee1d5a2c29b63 | [
"Apache-2.0"
] | 179 | 2019-11-08T00:47:08.000Z | 2022-03-10T03:03:37.000Z | src/stepfunctions/inputs/placeholders.py | ParidelPooya/aws-step-functions-data-science-sdk-python | 173b4635d8fb3ce569515bcfb6fee1d5a2c29b63 | [
"Apache-2.0"
] | 86 | 2019-11-20T12:59:03.000Z | 2022-03-23T03:04:47.000Z | # Copyright 2019 Amazon.com, Inc. or its affiliates. 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.
# A copy of the License is located at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# or in the "license... | 36.129252 | 150 | 0.588119 | 9,785 | 0.921201 | 0 | 0 | 0 | 0 | 0 | 0 | 5,136 | 0.483525 |
3b8031ca25667feb25f8274399a41253e2becc80 | 1,177 | py | Python | src/mrack/transformers/static.py | dav-pascual/mrack | f31b4ef1f1f847c3e95567ec012323be65a1e177 | [
"Apache-2.0"
] | 2 | 2021-05-26T15:57:13.000Z | 2021-08-21T02:14:01.000Z | src/mrack/transformers/static.py | dav-pascual/mrack | f31b4ef1f1f847c3e95567ec012323be65a1e177 | [
"Apache-2.0"
] | 81 | 2020-10-02T08:30:56.000Z | 2022-03-31T11:47:41.000Z | src/mrack/transformers/static.py | dav-pascual/mrack | f31b4ef1f1f847c3e95567ec012323be65a1e177 | [
"Apache-2.0"
] | 7 | 2020-10-02T08:13:57.000Z | 2022-03-31T11:22:53.000Z | # Copyright 2020 Red Hat Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,... | 30.179487 | 74 | 0.725573 | 445 | 0.37808 | 0 | 0 | 0 | 0 | 0 | 0 | 780 | 0.662702 |
3b809ed3a1a8eaaeae4a3ce0d4bf8bbbdbc290f8 | 7,421 | py | Python | trieste/utils/misc.py | SomeoneSerge/trieste | a160d2400a2dc092cac599554d32217840c06e3d | [
"Apache-2.0"
] | null | null | null | trieste/utils/misc.py | SomeoneSerge/trieste | a160d2400a2dc092cac599554d32217840c06e3d | [
"Apache-2.0"
] | null | null | null | trieste/utils/misc.py | SomeoneSerge/trieste | a160d2400a2dc092cac599554d32217840c06e3d | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 The Trieste Contributors
#
# 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... | 28.43295 | 100 | 0.62377 | 3,379 | 0.455329 | 0 | 0 | 1,645 | 0.221668 | 0 | 0 | 4,235 | 0.570678 |
3b816baf5eaa46bd1b527f1e92fb14dd928f8b46 | 1,185 | py | Python | data/states/splash.py | andarms/pyweek20 | 79a5ac58c3ca06be61e5a05af0abd78a8c79e8df | [
"MIT"
] | null | null | null | data/states/splash.py | andarms/pyweek20 | 79a5ac58c3ca06be61e5a05af0abd78a8c79e8df | [
"MIT"
] | null | null | null | data/states/splash.py | andarms/pyweek20 | 79a5ac58c3ca06be61e5a05af0abd78a8c79e8df | [
"MIT"
] | null | null | null | import pygame as pg
import state
from .. import util
class SplashState(state._State):
def __init__(self):
super(SplashState, self).__init__()
self.bg_color = (0,0,0)
self.text_color = (155,255,155)
self.duration = 3 #seg
self.image = pg.Surface(util.SCREEN_SIZE)
sel... | 28.214286 | 67 | 0.616034 | 1,126 | 0.950211 | 0 | 0 | 0 | 0 | 0 | 0 | 47 | 0.039662 |
3b81d15b16f3a5f6338f6f8f45d8d313e95a4a7d | 11,735 | py | Python | froi/algorithm/array2qimage.py | zhouguangfu/FreeROI | 0605c2a0fe2457e3703a4a7548299fc2c1e9aca0 | [
"BSD-3-Clause"
] | null | null | null | froi/algorithm/array2qimage.py | zhouguangfu/FreeROI | 0605c2a0fe2457e3703a4a7548299fc2c1e9aca0 | [
"BSD-3-Clause"
] | null | null | null | froi/algorithm/array2qimage.py | zhouguangfu/FreeROI | 0605c2a0fe2457e3703a4a7548299fc2c1e9aca0 | [
"BSD-3-Clause"
] | null | null | null | # emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
"""Some basic functions for image construction."""
import sys as _sys
import numpy as _np
from PyQt4 import QtGui as _qt
from qimageview import qimageview as _qimageview
if _sys.byteorder == 'little':
... | 34.821958 | 94 | 0.55441 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,310 | 0.196847 |
3b8212d16b84b98df542810b9eaf9101f2375755 | 7,084 | py | Python | pymeet/COM.py | Melisius/PyMEET | 9de470e55b0228b7c4ffed5f0c54bd27d6eba841 | [
"MIT"
] | null | null | null | pymeet/COM.py | Melisius/PyMEET | 9de470e55b0228b7c4ffed5f0c54bd27d6eba841 | [
"MIT"
] | null | null | null | pymeet/COM.py | Melisius/PyMEET | 9de470e55b0228b7c4ffed5f0c54bd27d6eba841 | [
"MIT"
] | null | null | null | import numpy as np
def atom_to_numbers(atom_name, number_property):
"""
Function that contains useful conversions.
"""
name2number = {"H": 1, "He": 2, "Li": 3, "Be": 4, "B": 5, "C": 6, "N": 7, "O": 8, "F": 9, "Ne": 10, "Na": 11, "Mg": 12, "Al": 13, "Si": 14, "P": 15, "S": 16,
"Cl": 17, "Ar... | 101.2 | 191 | 0.502823 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,597 | 0.225438 |
3b8587e0ec9b0fcd443c6745863057b4a8e3cf10 | 2,090 | py | Python | app/models/game.py | tso/avalon | 36bbc534ea1f0b24c19fc2a6b72010239cd5b0c3 | [
"MIT"
] | null | null | null | app/models/game.py | tso/avalon | 36bbc534ea1f0b24c19fc2a6b72010239cd5b0c3 | [
"MIT"
] | 6 | 2017-12-25T07:27:27.000Z | 2018-01-17T18:59:04.000Z | app/models/game.py | tso/avalon | 36bbc534ea1f0b24c19fc2a6b72010239cd5b0c3 | [
"MIT"
] | 2 | 2017-12-21T04:36:56.000Z | 2018-01-15T23:32:35.000Z | import random
import string
import uuid
from channels import Group
from django.db import models
from app.avalon import assign_roles, gen_role_list
from .util import lobby_json
class GameManager(models.Manager):
def create_game(self, num_players, has_mordred, has_oberon):
joinable_id = ''.join(random.cho... | 31.666667 | 83 | 0.653589 | 1,906 | 0.911962 | 0 | 0 | 0 | 0 | 0 | 0 | 152 | 0.072727 |
3b86bd629224d587375d982d9e21ec4c5e570896 | 4,230 | py | Python | root/os/DSAA/DataStructuresAndAlgorithms/python/chutils/chutils/utils/time_get_lock_info.py | chyidl/chyidlTutorial | a033e0a57abf84fdbb61e57736822f9126db6ff7 | [
"MIT"
] | 5 | 2018-10-17T05:57:39.000Z | 2021-07-05T15:38:24.000Z | root/os/DSAA/DataStructuresAndAlgorithms/python/chutils/chutils/utils/time_get_lock_info.py | chyidl/chyidlTutorial | a033e0a57abf84fdbb61e57736822f9126db6ff7 | [
"MIT"
] | 2 | 2021-04-14T00:48:43.000Z | 2021-04-14T02:20:50.000Z | root/os/DSAA/DataStructuresAndAlgorithms/python/chutils/chutils/utils/time_get_lock_info.py | chyidl/chyidlTutorial | a033e0a57abf84fdbb61e57736822f9126db6ff7 | [
"MIT"
] | 3 | 2019-03-02T14:36:19.000Z | 2022-03-18T10:12:09.000Z | #! /usr/bin/env python3
# -*- coding: utf-8 -*-
#
# time_get_lock_info.py
# utils
#
# 🎂"Here's to the crazy ones. The misfits. The rebels.
# The troublemakers. The round pegs in the square holes.
# The ones who see things differently. They're not found
# of rules. And they have no respect for the status quo.
# You can... | 27.647059 | 79 | 0.644681 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,740 | 0.588741 |
3b88a796d1817b8904a6429803fd5870c9f9d9ef | 383 | py | Python | django_example/addresses/management/commands/generate_fake_data.py | JCepedaVillamayor/django-example | b099f51be8cf822546018973299006bcff17d349 | [
"MIT"
] | null | null | null | django_example/addresses/management/commands/generate_fake_data.py | JCepedaVillamayor/django-example | b099f51be8cf822546018973299006bcff17d349 | [
"MIT"
] | 7 | 2018-11-01T13:10:27.000Z | 2018-11-04T16:01:52.000Z | django_example/addresses/management/commands/generate_fake_data.py | JCepedaVillamayor/django-example | b099f51be8cf822546018973299006bcff17d349 | [
"MIT"
] | null | null | null | from django.core.management.base import BaseCommand
from ...test.factories import AddressFactory
class Command(BaseCommand):
help = "generates fake users to list in the application"
def add_arguments(self, parser):
parser.add_argument("n_of_entries", type=int)
def handle(self, *args, **options):... | 27.357143 | 60 | 0.733681 | 282 | 0.736292 | 0 | 0 | 0 | 0 | 0 | 0 | 77 | 0.201044 |
3b895d1b25f903e8bc77ab1b05b04c1d12622eea | 5,995 | py | Python | poisson_problem/poisson.py | timudk/solving_pdes_with_neural_nets | 4aeca4ee1aaa6054307e1051879bed3160ffc247 | [
"MIT"
] | 69 | 2019-04-16T06:42:22.000Z | 2021-04-06T02:39:21.000Z | poisson_problem/poisson.py | timudk/solving_pdes_with_neural_nets | 4aeca4ee1aaa6054307e1051879bed3160ffc247 | [
"MIT"
] | null | null | null | poisson_problem/poisson.py | timudk/solving_pdes_with_neural_nets | 4aeca4ee1aaa6054307e1051879bed3160ffc247 | [
"MIT"
] | 19 | 2019-04-16T14:31:47.000Z | 2021-06-05T21:46:53.000Z | import tensorflow as tf
tf.set_random_seed(42)
import numpy as np
from scipy import integrate
import neural_networks
import poisson_problem
import matplotlib.pyplot as plt
import sys, getopt
class sampling_from_dataset:
def __init__(self, filepath, total_samples):
self.filepath = filepath
self.total_samples = ... | 33.121547 | 148 | 0.732944 | 1,119 | 0.186656 | 0 | 0 | 0 | 0 | 0 | 0 | 683 | 0.113928 |
3b93a8f3fb66d0f9172c7fab00d036cbaf55135b | 429 | py | Python | project_euler/37.py | huangshenno1/project_euler | 8a3c91fd11bcb6a6a830e963b1d5aed3f5ff787d | [
"MIT"
] | null | null | null | project_euler/37.py | huangshenno1/project_euler | 8a3c91fd11bcb6a6a830e963b1d5aed3f5ff787d | [
"MIT"
] | null | null | null | project_euler/37.py | huangshenno1/project_euler | 8a3c91fd11bcb6a6a830e963b1d5aed3f5ff787d | [
"MIT"
] | null | null | null | maxn = 1000000
isprime = [False] * 2 + [True] * maxn
for i in range(2, maxn):
if isprime[i]:
j = i*i
while j < maxn:
isprime[j] = False
j += i
def truncatable(n):
x = n
while x > 0:
if not isprime[x]: return False
x /= 10
b = 10
x = n % b
while x < n:
if not isprime[x]: return False
b *= 10
x... | 14.793103 | 37 | 0.566434 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3b96b5f799965c9ad6a6862901c115567a0b79c1 | 1,691 | py | Python | {{cookiecutter.app_slug}}/{{cookiecutter.app_slug}}/cli.py | epandurski/cookiecutter-flask-signalbus | 17f0ba711205a334359643421fc7184a6f84ff32 | [
"MIT"
] | null | null | null | {{cookiecutter.app_slug}}/{{cookiecutter.app_slug}}/cli.py | epandurski/cookiecutter-flask-signalbus | 17f0ba711205a334359643421fc7184a6f84ff32 | [
"MIT"
] | null | null | null | {{cookiecutter.app_slug}}/{{cookiecutter.app_slug}}/cli.py | epandurski/cookiecutter-flask-signalbus | 17f0ba711205a334359643421fc7184a6f84ff32 | [
"MIT"
] | null | null | null | import click
from os import environ
from flask.cli import with_appcontext
@click.group('{{cookiecutter.app_slug}}')
def {{cookiecutter.app_slug}}():
"""Perform {{cookiecutter.app_name}} specific operations."""
@{{cookiecutter.app_slug}}.command()
@with_appcontext
@click.argument('queue_name')
def subscribe(queu... | 36.76087 | 101 | 0.690124 | 0 | 0 | 0 | 0 | 1,435 | 0.84861 | 0 | 0 | 612 | 0.361916 |
3b99148519a93c8543e9564b329c4137fc41b8bf | 1,509 | py | Python | PythonBot.py | quasiyoke/PythonBot | d665a1580b683b8dbf4c68f50e112eb9ec30f8d0 | [
"Apache-2.0"
] | 9 | 2021-07-07T16:57:17.000Z | 2021-11-14T17:45:10.000Z | PythonBot.py | quasiyoke/PythonBot | d665a1580b683b8dbf4c68f50e112eb9ec30f8d0 | [
"Apache-2.0"
] | null | null | null | PythonBot.py | quasiyoke/PythonBot | d665a1580b683b8dbf4c68f50e112eb9ec30f8d0 | [
"Apache-2.0"
] | 2 | 2021-11-20T10:26:18.000Z | 2021-11-26T09:18:13.000Z | from substrateinterface import SubstrateInterface, Keypair
from substrateinterface.exceptions import SubstrateRequestException
from scalecodec.type_registry import load_type_registry_file
import time
substrate = SubstrateInterface(
url='wss://ws.mof.sora.org',
ss58_format=69,
type_registry_preset='default'... | 33.533333 | 117 | 0.732936 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 621 | 0.411531 |
3b99148cfdeb90a765f839391c5a34781f128d17 | 185 | py | Python | app/schemas.py | ev-horrosh/fastapi-project | 4e38f5eb7573b8d70add47dd52fc973e9fed07b9 | [
"MIT"
] | null | null | null | app/schemas.py | ev-horrosh/fastapi-project | 4e38f5eb7573b8d70add47dd52fc973e9fed07b9 | [
"MIT"
] | null | null | null | app/schemas.py | ev-horrosh/fastapi-project | 4e38f5eb7573b8d70add47dd52fc973e9fed07b9 | [
"MIT"
] | null | null | null | from re import S
from pydantic import BaseModel
from typing import Optional
class User(BaseModel):
first_name:str
last_name:str
age:int
sex:Optional[str]=None
| 16.818182 | 30 | 0.708108 | 98 | 0.52973 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3b9a007a7f11cb78845931d5c9222d48f264b871 | 17,892 | py | Python | pxr/usd/usd/testenv/testUsdStagePopulationMasks.py | DougRogers-DigitalFish/USD | d8a405a1344480f859f025c4f97085143efacb53 | [
"BSD-2-Clause"
] | 3,680 | 2016-07-26T18:28:11.000Z | 2022-03-31T09:55:05.000Z | pxr/usd/usd/testenv/testUsdStagePopulationMasks.py | DougRogers-DigitalFish/USD | d8a405a1344480f859f025c4f97085143efacb53 | [
"BSD-2-Clause"
] | 1,759 | 2016-07-26T19:19:59.000Z | 2022-03-31T21:24:00.000Z | pxr/usd/usd/testenv/testUsdStagePopulationMasks.py | DougRogers-DigitalFish/USD | d8a405a1344480f859f025c4f97085143efacb53 | [
"BSD-2-Clause"
] | 904 | 2016-07-26T18:33:40.000Z | 2022-03-31T09:55:16.000Z | #!/pxrpythonsubst
#
# Copyright 2017 Pixar
#
# Licensed under the Apache License, Version 2.0 (the "Apache License")
# with the following modification; you may not use this file except in
# compliance with the Apache License and the following modification to it:
# Section 6. Trademarks. is deleted and replaced with:
#
... | 44.397022 | 81 | 0.649564 | 16,721 | 0.934552 | 0 | 0 | 0 | 0 | 0 | 0 | 4,971 | 0.277834 |
3b9b35f7c92754e4b2f2e40b05e20b3c368edfaa | 2,822 | py | Python | mutalyzer_mutator/mutator.py | mutalyzer/mutator | 43a9fc929e054552ef6a2ed2d0cdf71e49ebf005 | [
"MIT"
] | null | null | null | mutalyzer_mutator/mutator.py | mutalyzer/mutator | 43a9fc929e054552ef6a2ed2d0cdf71e49ebf005 | [
"MIT"
] | null | null | null | mutalyzer_mutator/mutator.py | mutalyzer/mutator | 43a9fc929e054552ef6a2ed2d0cdf71e49ebf005 | [
"MIT"
] | null | null | null | """
Module to mutate sequences based on a variants list.
Assumptions for which no check is performed:
- Only ``deletion insertion`` operations.
- Only exact locations, i.e., no uncertainties such as `10+?`.
- Locations are zero-based right-open with ``start > end``.
- There is no overlapping between variants locat... | 29.395833 | 79 | 0.665131 | 48 | 0.017009 | 0 | 0 | 0 | 0 | 0 | 0 | 1,322 | 0.468462 |
3b9b566f35bb3be3bbe04e1b0c6ea0b1acb1d8bc | 1,791 | py | Python | day11/day11_2.py | DanTGL/AdventOfCode2020 | bf7cd6a4fb7701155785b941facdc1e4859ba297 | [
"MIT"
] | null | null | null | day11/day11_2.py | DanTGL/AdventOfCode2020 | bf7cd6a4fb7701155785b941facdc1e4859ba297 | [
"MIT"
] | null | null | null | day11/day11_2.py | DanTGL/AdventOfCode2020 | bf7cd6a4fb7701155785b941facdc1e4859ba297 | [
"MIT"
] | null | null | null | import copy
from collections import defaultdict
inputs = [list(line) for line in open("day11/input").read().splitlines()]
nodes = defaultdict(lambda: [])
for y in range(len(inputs)):
for x in range(len(inputs[y])):
if inputs[y][x] != ".":
for i in range(-1, 2):
for j in range... | 28.887097 | 87 | 0.460078 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 64 | 0.035734 |
3b9c267d1ea8454b5606dbcad892d1bfd4a767ba | 1,553 | py | Python | server/UserProfile/migrations/0002_doctorprofile.py | dimejiconsult/Telemedicine | af812bd8703d86e648105dc0c01b02f6af783dee | [
"MIT"
] | null | null | null | server/UserProfile/migrations/0002_doctorprofile.py | dimejiconsult/Telemedicine | af812bd8703d86e648105dc0c01b02f6af783dee | [
"MIT"
] | 8 | 2020-08-04T22:42:45.000Z | 2022-03-12T00:48:53.000Z | server/UserProfile/migrations/0002_doctorprofile.py | dimejiconsult/Telemedicine | af812bd8703d86e648105dc0c01b02f6af783dee | [
"MIT"
] | null | null | null | # Generated by Django 2.2.3 on 2020-07-31 14:51
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('UserProfile', '0001_initial'),
]
operations = [
migrations.CreateModel(
... | 43.138889 | 200 | 0.599485 | 1,394 | 0.897618 | 0 | 0 | 0 | 0 | 0 | 0 | 433 | 0.278815 |
3b9cb1b86a1c2543fda4e403d263a899de8dcbf8 | 529 | py | Python | python/ddf/conf.py | JLLeitschuh/DDF | e4e68315dcec1ed8b287bf1ee73baa88e7e41eba | [
"Apache-2.0"
] | 160 | 2015-01-04T03:29:24.000Z | 2022-01-30T18:02:50.000Z | python/ddf/conf.py | JLLeitschuh/DDF | e4e68315dcec1ed8b287bf1ee73baa88e7e41eba | [
"Apache-2.0"
] | 164 | 2015-01-15T12:18:28.000Z | 2017-06-02T06:49:01.000Z | python/ddf/conf.py | JLLeitschuh/DDF | e4e68315dcec1ed8b287bf1ee73baa88e7e41eba | [
"Apache-2.0"
] | 43 | 2015-01-13T08:35:37.000Z | 2021-02-26T02:43:43.000Z | from __future__ import unicode_literals
def find_ddf():
import os
if 'DDF_HOME' in os.environ:
return os.path.abspath(os.environ['DDF_HOME'])
path = os.path.abspath(os.path.split(os.path.abspath(__file__))[0] + '/../../')
if all([os.path.exists(os.path.join(path, x)) for x in ['core', 'spark'... | 27.842105 | 97 | 0.671078 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 159 | 0.300567 |
3b9d1545ec19f606b37c767e1e6cb76be606291c | 196 | py | Python | _solutions/basics/function/function_lambda_a.py | sages-pl/2022-01-pythonsqlalchemy-aptiv | 1d6d856608e9dbe25b139e8968c48b7f46753b84 | [
"MIT"
] | null | null | null | _solutions/basics/function/function_lambda_a.py | sages-pl/2022-01-pythonsqlalchemy-aptiv | 1d6d856608e9dbe25b139e8968c48b7f46753b84 | [
"MIT"
] | null | null | null | _solutions/basics/function/function_lambda_a.py | sages-pl/2022-01-pythonsqlalchemy-aptiv | 1d6d856608e9dbe25b139e8968c48b7f46753b84 | [
"MIT"
] | null | null | null |
numbers = (x for x in range(1, 34) if x % 3 == 0)
numbers = filter(lambda x: x % 2, numbers)
numbers = map(lambda x: x ** 3, numbers)
numbers = list(numbers)
result = sum(numbers) / len(numbers)
| 28 | 49 | 0.642857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3b9f847d0cac6111d1ef645972a3872e4e96abc4 | 3,896 | py | Python | algospot/submit.py | seirion/code | 3b8bf79764107255185061cec33decbc2235d03a | [
"Apache-2.0"
] | 13 | 2015-06-07T09:26:26.000Z | 2019-05-01T13:23:38.000Z | algospot/submit.py | seirion/code | 3b8bf79764107255185061cec33decbc2235d03a | [
"Apache-2.0"
] | null | null | null | algospot/submit.py | seirion/code | 3b8bf79764107255185061cec33decbc2235d03a | [
"Apache-2.0"
] | 4 | 2016-03-05T06:21:05.000Z | 2017-02-17T15:34:18.000Z | # written by falsetru
import cookielib
import os
from contextlib import closing
import re
import getpass
import webbrowser
import sys
import requests
class AlgoSpot(object):
login_url = 'https://algospot.com/accounts/login/?next=/'
def __init__(self):
cookiefile_path = os.path.join(os.path.expandus... | 28.647059 | 122 | 0.585216 | 2,386 | 0.612423 | 0 | 0 | 0 | 0 | 0 | 0 | 769 | 0.197382 |
3b9faf565558a1df6837f883c4af01c1961579e5 | 4,806 | py | Python | centersnap/utils.py | ibaiGorordo/ONNX-CenterSnap-6D-Pose-and-Shape-Estimation | f8f98b08cce5259348616db4150064d713f17445 | [
"MIT"
] | 13 | 2022-03-19T14:42:50.000Z | 2022-03-31T14:04:31.000Z | centersnap/utils.py | ibaiGorordo/ONNX-CenterSnap-6D-Pose-and-Shape-Estimation | f8f98b08cce5259348616db4150064d713f17445 | [
"MIT"
] | null | null | null | centersnap/utils.py | ibaiGorordo/ONNX-CenterSnap-6D-Pose-and-Shape-Estimation | f8f98b08cce5259348616db4150064d713f17445 | [
"MIT"
] | 1 | 2022-03-24T12:56:25.000Z | 2022-03-24T12:56:25.000Z | import numpy as np
import cv2
import open3d as o3d
from .original_repo_utils import *
np.random.seed(3)
MAX_CLASS_NUM = 100 # In the original model there are only 7 classes
segmenation_colors = np.random.randint(0, 255, (MAX_CLASS_NUM, 3)).astype("uint8")
def util_draw_seg(seg_map, image, alpha = 0.5):
# Convert... | 28.105263 | 97 | 0.740117 | 1,754 | 0.36496 | 0 | 0 | 664 | 0.138161 | 0 | 0 | 539 | 0.112151 |
3ba02c62d0d88116daac3eef24c8c51ab27ced29 | 2,519 | py | Python | strokes_gained_calculations.py | brentonworley/strokes-gained | f3390de62a8987fd0a73ddb41837f7dcecb29387 | [
"MIT"
] | null | null | null | strokes_gained_calculations.py | brentonworley/strokes-gained | f3390de62a8987fd0a73ddb41837f7dcecb29387 | [
"MIT"
] | null | null | null | strokes_gained_calculations.py | brentonworley/strokes-gained | f3390de62a8987fd0a73ddb41837f7dcecb29387 | [
"MIT"
] | null | null | null | def calculate_strokes_gained(reference_value, user_putts):
'''Return the strokes gained based on reference and user input'''
return round((reference_value - user_putts), 2)
def calculate_strokes_gained_putting(reference_data, user_input):
'''Return the strokes gained value from a dictionary of user input
... | 45.8 | 121 | 0.687574 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 920 | 0.365224 |
8e535a0eaed4fb2eca117828f9d5fa6d60c950b3 | 8,988 | py | Python | CRF/cnn_word_seg_torch.py | enjlife/bert4torch | 53694060fed0351649f87c79381740851a4a0b42 | [
"Apache-2.0"
] | 5 | 2021-09-09T03:25:58.000Z | 2022-02-22T06:43:08.000Z | CRF/cnn_word_seg_torch.py | enjlife/bert4torch | 53694060fed0351649f87c79381740851a4a0b42 | [
"Apache-2.0"
] | 1 | 2022-02-18T07:46:46.000Z | 2022-02-20T10:05:25.000Z | CRF/cnn_word_seg_torch.py | enjlife/bert4torch | 53694060fed0351649f87c79381740851a4a0b42 | [
"Apache-2.0"
] | null | null | null | import os
import torch.nn
from torch import nn
from crf_torch import CRF
import re
import random
import time
from torch.optim import Adam
import torch.nn.functional as F
from datetime import timedelta
# TODO 准确率计算函数的bug修复
def get_time_dif(start_time):
"""获取已使用时间"""
end_time = time.time()
time_dif = end_t... | 36.836066 | 161 | 0.549622 | 6,811 | 0.740809 | 0 | 0 | 0 | 0 | 0 | 0 | 707 | 0.076898 |
8e54656185e027ab6cdc457485c3e4f7aee1306c | 1,636 | py | Python | gs_quant/backtests/execution_engine.py | skyquant2/gs-quant | b7e648fa7912b13ad1fd503b643389e34587aa1e | [
"Apache-2.0"
] | 2 | 2021-06-22T12:14:38.000Z | 2021-06-23T15:51:08.000Z | gs_quant/backtests/execution_engine.py | skyquant2/gs-quant | b7e648fa7912b13ad1fd503b643389e34587aa1e | [
"Apache-2.0"
] | null | null | null | gs_quant/backtests/execution_engine.py | skyquant2/gs-quant | b7e648fa7912b13ad1fd503b643389e34587aa1e | [
"Apache-2.0"
] | null | null | null | """
Copyright 2019 Goldman Sachs.
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,
software di... | 33.387755 | 90 | 0.675428 | 951 | 0.581296 | 0 | 0 | 0 | 0 | 0 | 0 | 560 | 0.342298 |
8e54b6e75de5f4de964911c5a74139115880c479 | 19,578 | py | Python | biosimulators_opencor/utils.py | biosimulators/Biosimulators_OpenCOR | e00645e372baf7475957af9487856ad9ddd18814 | [
"MIT"
] | null | null | null | biosimulators_opencor/utils.py | biosimulators/Biosimulators_OpenCOR | e00645e372baf7475957af9487856ad9ddd18814 | [
"MIT"
] | null | null | null | biosimulators_opencor/utils.py | biosimulators/Biosimulators_OpenCOR | e00645e372baf7475957af9487856ad9ddd18814 | [
"MIT"
] | null | null | null | """ Utilities for OpenCOR
:Author: Jonathan Karr <karr@mssm.edu>
:Date: 2021-05-28
:Copyright: 2021, BioSimulators Team
:License: MIT
"""
from .data_model import KISAO_ALGORITHM_MAP
from biosimulators_utils.config import get_config, Config # noqa: F401
from biosimulators_utils.data_model import ValueType # noqa: F4... | 38.53937 | 141 | 0.659056 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,414 | 0.327613 |
8e54c567814fe73688defe099ca5f7a9a0fccd51 | 432 | py | Python | estrategias/Gabrielp.py | cadualves/jogos_vorazes | e8caf062fc58b6188e94152084383940c96dba9a | [
"MIT"
] | 8 | 2017-10-11T19:49:28.000Z | 2021-06-16T12:20:39.000Z | estrategias/Gabrielp.py | cadualves/jogos_vorazes | e8caf062fc58b6188e94152084383940c96dba9a | [
"MIT"
] | 6 | 2017-02-02T18:26:34.000Z | 2018-11-08T16:32:52.000Z | estrategias/Gabrielp.py | cadualves/jogos_vorazes | e8caf062fc58b6188e94152084383940c96dba9a | [
"MIT"
] | 26 | 2016-01-15T16:20:57.000Z | 2018-12-11T21:32:57.000Z | from .jogadores import Jogador
class MeuJogador(Jogador):
def escolha_de_cacada(self, rodada, comida_atual, reputacao_atual, m, reputacoes_dos_jogadores):
if comida_atual <= 5:
escolhas = ['d' for x in reputacoes_dos_jogadores]
return escolhas
else:
escolhas = [... | 39.272727 | 108 | 0.650463 | 399 | 0.923611 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0.027778 |
8e559b65f4bffc816f6acc36951ebd073cffa8c9 | 3,407 | py | Python | arpym/statistics/saddle_point_quadn.py | dpopadic/arpmRes | ddcc4de713b46e3e9dcb77cc08c502ce4df54f76 | [
"MIT"
] | 6 | 2021-04-10T13:24:30.000Z | 2022-03-26T08:20:42.000Z | arpym/statistics/saddle_point_quadn.py | dpopadic/arpmRes | ddcc4de713b46e3e9dcb77cc08c502ce4df54f76 | [
"MIT"
] | null | null | null | arpym/statistics/saddle_point_quadn.py | dpopadic/arpmRes | ddcc4de713b46e3e9dcb77cc08c502ce4df54f76 | [
"MIT"
] | 6 | 2019-08-13T22:02:17.000Z | 2022-02-09T17:49:12.000Z | # -*- coding: utf-8 -*-
import numpy as np
from scipy.stats import norm
from scipy.optimize import brentq
from arpym.tools.transpose_square_root import transpose_square_root
def saddle_point_quadn(y, alpha, beta, gamma, mu, sigma2):
"""For details, see here.
Parameters
----------
y : array, shape... | 30.693694 | 79 | 0.528618 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 936 | 0.274567 |
8e56ed966f7b3a1a052979308f0135e0e02265d6 | 114 | py | Python | web/wsgi_dozer.py | LinuxOSsk/Shakal-NG | c4091c7972cffd86f64aa9f9a058d2907a56e5eb | [
"MIT"
] | 10 | 2016-02-06T15:40:30.000Z | 2018-09-27T15:15:13.000Z | web/wsgi_dozer.py | LinuxOSsk/Shakal-NG | c4091c7972cffd86f64aa9f9a058d2907a56e5eb | [
"MIT"
] | 94 | 2016-02-04T18:39:36.000Z | 2022-01-20T05:25:00.000Z | web/wsgi_dozer.py | LinuxOSsk/Shakal-NG | c4091c7972cffd86f64aa9f9a058d2907a56e5eb | [
"MIT"
] | 8 | 2016-05-10T20:29:53.000Z | 2021-02-07T00:50:31.000Z | # -*- coding: utf-8 -*-
from dozer import Dozer
from .wsgi import application
application = Dozer(application)
| 14.25 | 32 | 0.719298 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0.201754 |
8e5772016ce9d093b9d855bc35d35474f74a9187 | 101 | py | Python | abstract-codegen/src/atmfjstc/lib/abstract_codegen/ast/__init__.py | goc9000/python-library | 0a4a09278df6e84061baedda8997071e2201103f | [
"MIT"
] | null | null | null | abstract-codegen/src/atmfjstc/lib/abstract_codegen/ast/__init__.py | goc9000/python-library | 0a4a09278df6e84061baedda8997071e2201103f | [
"MIT"
] | null | null | null | abstract-codegen/src/atmfjstc/lib/abstract_codegen/ast/__init__.py | goc9000/python-library | 0a4a09278df6e84061baedda8997071e2201103f | [
"MIT"
] | null | null | null | """
This package groups all the built-in node classes offered by the `abstract_codegen` package.
"""
| 25.25 | 92 | 0.752475 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 0.990099 |
8e57c1d666f0e679e553435b63623e54ee15e34a | 320 | py | Python | hardware/dht/__init__.py | jpalczewski/pills | ab0cf0feedbdfe069a0dad76c8a45ee9ab4cfc26 | [
"MIT"
] | null | null | null | hardware/dht/__init__.py | jpalczewski/pills | ab0cf0feedbdfe069a0dad76c8a45ee9ab4cfc26 | [
"MIT"
] | null | null | null | hardware/dht/__init__.py | jpalczewski/pills | ab0cf0feedbdfe069a0dad76c8a45ee9ab4cfc26 | [
"MIT"
] | null | null | null | from .DHT22 import sensor
import time
import pigpio
async def poll_once():
pi = pigpio.pi()
s = sensor(pi, 24, LED=None, power=None,DHT11=False)
s.trigger()
time.sleep(0.2)
humidity = s.humidity()
temperature = s.temperature()
s.cancel()
pi.stop()
return (humidity, temperature) | 17.777778 | 56 | 0.6375 | 0 | 0 | 0 | 0 | 0 | 0 | 265 | 0.828125 | 0 | 0 |
8e5ba2a20b4cea3293ed973ff92b38716b7ec7fc | 2,267 | py | Python | test.py | gadolly/Deep_learning | b29248f97d576c36cad9eb0f67ed834d7a5aadad | [
"MIT"
] | null | null | null | test.py | gadolly/Deep_learning | b29248f97d576c36cad9eb0f67ed834d7a5aadad | [
"MIT"
] | null | null | null | test.py | gadolly/Deep_learning | b29248f97d576c36cad9eb0f67ed834d7a5aadad | [
"MIT"
] | null | null | null | # import the necessary packages
from keras.preprocessing import image as image_utils
from imagenet_utils import decode_predictions
from imagenet_utils import preprocess_input
from vgg16 import VGG16
import numpy as np
import argparse
import cv2
from keras.utils import np_utils
import matplotlib.pyplot as plt
from matpl... | 30.635135 | 71 | 0.736215 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,144 | 0.504632 |
8e5dc3da5c6988b8cfded965ef1f80d576653a4f | 1,534 | py | Python | methods_test.py | RyoJerryYu/DeclarationCpp2Go | 3e71546b8a2ce37cb056986250acfaab74c71a76 | [
"MIT"
] | null | null | null | methods_test.py | RyoJerryYu/DeclarationCpp2Go | 3e71546b8a2ce37cb056986250acfaab74c71a76 | [
"MIT"
] | 1 | 2021-12-04T11:54:56.000Z | 2021-12-04T11:54:56.000Z | methods_test.py | RyoJerryYu/DeclarationCpp2Go | 3e71546b8a2ce37cb056986250acfaab74c71a76 | [
"MIT"
] | null | null | null | '''Tests for methods.py'''
from methods import FuncName, Method, TVList
from common import Capitalizer
from protocol import DirectReturn
def test_funcname():
funcname_p = FuncName(Capitalizer())
assert funcname_p.transform('foo_bar_baz') == 'FooBarBaz'
def test_funcname_default():
funcname_p = FuncName()
as... | 26 | 79 | 0.666884 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 417 | 0.271838 |
8e6099119f26b536e38e505e34fc237bd2e59cfb | 152 | py | Python | chapter-14/shakespearebot-waypoint/bot/models.py | GeSup/Hands-on-JavaScript-for-Python-Developers | a4d779e3e46797754252e97ec0e517c9e42682c6 | [
"MIT"
] | 41 | 2019-04-30T14:55:48.000Z | 2022-03-27T21:59:56.000Z | chapter-14/shakespearebot-waypoint/bot/models.py | GeSup/Hands-on-JavaScript-for-Python-Developers | a4d779e3e46797754252e97ec0e517c9e42682c6 | [
"MIT"
] | 10 | 2020-05-27T22:54:38.000Z | 2020-10-13T21:52:24.000Z | chapter-14/shakespearebot-waypoint/bot/models.py | GeSup/Hands-on-JavaScript-for-Python-Developers | a4d779e3e46797754252e97ec0e517c9e42682c6 | [
"MIT"
] | 24 | 2019-05-07T21:02:11.000Z | 2021-10-31T23:44:14.000Z | from django.db import models
class Text(models.Model):
PlayerLine = models.CharField(max_length=1000)
def __str__(self):
return self.PlayerLine | 25.333333 | 48 | 0.769737 | 122 | 0.802632 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8e615b3096b4af4bf6362be743bc75af467ed5a8 | 17,468 | py | Python | tests/test_requirements.py | domdfcoding/packing-tape | d8570033c8088c68527db918339c14aa6953264f | [
"MIT"
] | null | null | null | tests/test_requirements.py | domdfcoding/packing-tape | d8570033c8088c68527db918339c14aa6953264f | [
"MIT"
] | null | null | null | tests/test_requirements.py | domdfcoding/packing-tape | d8570033c8088c68527db918339c14aa6953264f | [
"MIT"
] | null | null | null | # stdlib
from typing import List, Sequence, Union
# 3rd party
import pytest
from coincidence.regressions import AdvancedDataRegressionFixture
from coincidence.selectors import min_version, not_windows, only_version
from domdf_python_tools.paths import PathPlus
from packaging.requirements import Requirement
from packag... | 30.916814 | 101 | 0.676551 | 2,800 | 0.160293 | 0 | 0 | 8,922 | 0.510763 | 0 | 0 | 5,812 | 0.332723 |
8e6171a69d7112d24e0deaed0a6f8f8e780b1f04 | 6,682 | py | Python | tests/ut/python/parallel/test_uniform_candidate_sampler.py | Vincent34/mindspore | a39a60878a46e7e9cb02db788c0bca478f2fa6e5 | [
"Apache-2.0"
] | 2 | 2021-07-08T13:10:42.000Z | 2021-11-08T02:48:57.000Z | tests/ut/python/parallel/test_uniform_candidate_sampler.py | peixinhou/mindspore | fcb2ec2779b753e95c762cf292b23bd81d1f561b | [
"Apache-2.0"
] | null | null | null | tests/ut/python/parallel/test_uniform_candidate_sampler.py | peixinhou/mindspore | fcb2ec2779b753e95c762cf292b23bd81d1f561b | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 Huawei Technologies Co., Ltd
#
# 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... | 41.246914 | 109 | 0.700389 | 1,710 | 0.255911 | 0 | 0 | 0 | 0 | 0 | 0 | 860 | 0.128704 |
8e622edaf8f47d87d5f8233d0e8589b835af46c3 | 3,464 | py | Python | lib/servers/data_vault.py | clayton-ho/EGGs_Control | 312f02488b47cf880c6e6600ce10856a871123df | [
"MIT"
] | null | null | null | lib/servers/data_vault.py | clayton-ho/EGGs_Control | 312f02488b47cf880c6e6600ce10856a871123df | [
"MIT"
] | null | null | null | lib/servers/data_vault.py | clayton-ho/EGGs_Control | 312f02488b47cf880c6e6600ce10856a871123df | [
"MIT"
] | null | null | null | # Copyright (C) 2007 Matthew Neeley
#
# 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 2 of the License, or
# (at your option) any later version.
#
# This program is distributed i... | 32.679245 | 81 | 0.687356 | 0 | 0 | 2,217 | 0.640012 | 2,170 | 0.626443 | 0 | 0 | 1,723 | 0.497402 |
8e64479dc605db78a7e77be2782621351e868958 | 446 | py | Python | atlantisbot_api/migrations/0004_auto_20201107_0019.py | johnvictorfs/atlantisbot-api | 1a00ae33497b5c5bf51d7bac154e96d4d9ab534b | [
"MIT"
] | null | null | null | atlantisbot_api/migrations/0004_auto_20201107_0019.py | johnvictorfs/atlantisbot-api | 1a00ae33497b5c5bf51d7bac154e96d4d9ab534b | [
"MIT"
] | null | null | null | atlantisbot_api/migrations/0004_auto_20201107_0019.py | johnvictorfs/atlantisbot-api | 1a00ae33497b5c5bf51d7bac154e96d4d9ab534b | [
"MIT"
] | null | null | null | # Generated by Django 2.2.16 on 2020-11-07 00:19
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('atlantisbot_api', '0003_auto_20201107_0018'),
]
operations = [
migrations.AlterModelTable(
name='discordingamename',
table=... | 20.272727 | 55 | 0.58296 | 360 | 0.807175 | 0 | 0 | 0 | 0 | 0 | 0 | 122 | 0.273543 |
8e65b59f5232680aea8dce90eae39a5dcfa86850 | 5,465 | py | Python | py-opentsdb.py | langerma/py-opentsdb | d652a96d3a53bf7c6785a1d586427d666bb3da96 | [
"BSD-2-Clause"
] | 2 | 2020-02-20T16:00:11.000Z | 2020-02-20T16:00:21.000Z | py-opentsdb.py | langerma/py-opentsdb | d652a96d3a53bf7c6785a1d586427d666bb3da96 | [
"BSD-2-Clause"
] | null | null | null | py-opentsdb.py | langerma/py-opentsdb | d652a96d3a53bf7c6785a1d586427d666bb3da96 | [
"BSD-2-Clause"
] | null | null | null | import requests
import pandas
try:
# Use ujson if available.
import ujson as json
except Exception:
import json
class OpenTSDBResponseSerie(object):
"""
A single OpenTSDB response serie i.e 1 element of the response
array.
Params:
**kwargs : OpenTSDB response serie ... | 31.589595 | 103 | 0.530101 | 5,331 | 0.97548 | 146 | 0.026715 | 544 | 0.099543 | 0 | 0 | 1,977 | 0.361757 |
8e65daebe577c08239034ca2c192e6c446ad91d9 | 5,865 | py | Python | tests/integration/test_clone_project.py | superannotateai/superannotate-python-sdk | e2ce848b61efed608265fa64f3781fd5a17c929b | [
"MIT"
] | 26 | 2020-09-25T06:25:06.000Z | 2022-01-30T16:44:07.000Z | tests/integration/test_clone_project.py | superannotateai/superannotate-python-sdk | e2ce848b61efed608265fa64f3781fd5a17c929b | [
"MIT"
] | 12 | 2020-12-21T19:59:48.000Z | 2022-01-21T10:32:07.000Z | tests/integration/test_clone_project.py | superannotateai/superannotate-python-sdk | e2ce848b61efed608265fa64f3781fd5a17c929b | [
"MIT"
] | 11 | 2020-09-17T13:39:19.000Z | 2022-03-02T18:12:29.000Z | import os
from os.path import dirname
from unittest import TestCase
import pytest
import src.superannotate as sa
class TestCloneProject(TestCase):
PROJECT_NAME_1 = "test_create_like_project_1"
PROJECT_NAME_2 = "test_create_like_project_2"
PROJECT_DESCRIPTION = "desc"
PROJECT_TYPE = "Vector"
IMAGE_... | 35.762195 | 94 | 0.539301 | 5,746 | 0.97971 | 0 | 0 | 98 | 0.016709 | 0 | 0 | 1,028 | 0.175277 |
8e672b30ac2d4293d252c3f28a77e16722f9d3c0 | 1,139 | py | Python | dmg/classical_amg.py | amkatrutsa/dmg | ac07e28982ddd7b03137b296e03af4d5515c8ad3 | [
"MIT"
] | 14 | 2018-07-06T12:04:46.000Z | 2022-03-21T10:01:27.000Z | dmg/classical_amg.py | amkatrutsa/dmg | ac07e28982ddd7b03137b296e03af4d5515c8ad3 | [
"MIT"
] | null | null | null | dmg/classical_amg.py | amkatrutsa/dmg | ac07e28982ddd7b03137b296e03af4d5515c8ad3 | [
"MIT"
] | 4 | 2019-01-08T03:31:55.000Z | 2021-12-28T01:39:15.000Z | import pyamg
from . import gmg_base
class ClassicalAMG(gmg_base.GMG):
def __init__(self, A, max_levels=10,
presmoother="jacobi", presmooth_par={"omega": 2./3, "iterations": 2, "withrho": False},
postsmoother=None, postsmooth_par=None,
cycle="V"):
super()._... | 54.238095 | 107 | 0.539069 | 1,102 | 0.967515 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 0.036874 |
8e673db362c569f9ad4cae086dd2478daf171db2 | 13,601 | py | Python | figures.py | maria-kuruvilla/temp_collective_new | c45b72cee7c17072507eb67790d1699f5684098a | [
"MIT"
] | null | null | null | figures.py | maria-kuruvilla/temp_collective_new | c45b72cee7c17072507eb67790d1699f5684098a | [
"MIT"
] | null | null | null | figures.py | maria-kuruvilla/temp_collective_new | c45b72cee7c17072507eb67790d1699f5684098a | [
"MIT"
] | null | null | null | """
Code to plot average nearest neighbor distance between fish in a school as a function of group size - one line per water temperature.
"""
# imports
import sys, os
import numpy as np
import matplotlib.pyplot as plt
import pickle
from matplotlib import cm
import argparse
#argparse
def boolean_string(s):
# thi... | 35.792105 | 160 | 0.710462 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8,728 | 0.641718 |
8e67c9cb778e91d2cab352898b79d1683798c293 | 144 | py | Python | Externals/micromegas_4.3.5/Packages/smodels-v1.1.0patch1/smodels/tools/__init__.py | yuanfangtardis/vscode_project | 2d78a85413cc85789cc4fee8ec991eb2a0563ef8 | [
"Apache-2.0"
] | null | null | null | Externals/micromegas_4.3.5/Packages/smodels-v1.1.0patch1/smodels/tools/__init__.py | yuanfangtardis/vscode_project | 2d78a85413cc85789cc4fee8ec991eb2a0563ef8 | [
"Apache-2.0"
] | null | null | null | Externals/micromegas_4.3.5/Packages/smodels-v1.1.0patch1/smodels/tools/__init__.py | yuanfangtardis/vscode_project | 2d78a85413cc85789cc4fee8ec991eb2a0563ef8 | [
"Apache-2.0"
] | 1 | 2022-01-15T12:22:30.000Z | 2022-01-15T12:22:30.000Z | """
.. module:: tools.__init__
:synopsis: This package contains tools for handling results obtained with the
main SModelS code.
"""
| 20.571429 | 81 | 0.6875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 142 | 0.986111 |
8e68d491045b46e0d5c3609fa40d0f8cbf83aabf | 3,106 | py | Python | src/image_caption_machine/world/place.py | brandontrabucco/ros-image-captioner | 5fd18317f2ec600cdc61628028292a22eef45fc2 | [
"MIT"
] | 3 | 2018-09-08T10:28:59.000Z | 2019-09-08T00:11:33.000Z | src/image_caption_machine/world/place.py | brandontrabucco/ros-image-captioner | 5fd18317f2ec600cdc61628028292a22eef45fc2 | [
"MIT"
] | null | null | null | src/image_caption_machine/world/place.py | brandontrabucco/ros-image-captioner | 5fd18317f2ec600cdc61628028292a22eef45fc2 | [
"MIT"
] | 2 | 2019-04-17T17:24:28.000Z | 2019-06-10T18:16:44.000Z | """Author: Brandon Trabucco.
Utility class for loading and managing locations in the robot's map.
"""
import json
import math
import rospy
from rt_msgs.msg import Odom
from std_msgs.msg import Header
from geometry_msgs.msg import Pose
from geometry_msgs.msg import Point
from geometry_msgs.msg import Quaternion
from g... | 24.650794 | 83 | 0.603348 | 2,474 | 0.796523 | 0 | 0 | 1,067 | 0.343529 | 0 | 0 | 992 | 0.319382 |
8e69d02ee0597be4c48dd1fc7fd8cd5d2f553e35 | 2,238 | py | Python | joplin_web/api/serializers.py | kuyper/joplin-web | 7a13b75cbb55741ddfb58767af34c7ad164fec11 | [
"BSD-3-Clause"
] | null | null | null | joplin_web/api/serializers.py | kuyper/joplin-web | 7a13b75cbb55741ddfb58767af34c7ad164fec11 | [
"BSD-3-Clause"
] | null | null | null | joplin_web/api/serializers.py | kuyper/joplin-web | 7a13b75cbb55741ddfb58767af34c7ad164fec11 | [
"BSD-3-Clause"
] | 1 | 2019-12-13T15:18:58.000Z | 2019-12-13T15:18:58.000Z | from rest_framework import serializers
from joplin_web.models import Folders, Notes, Tags, NoteTags, Version
class FoldersSerializer(serializers.ModelSerializer):
nb_notes = serializers.IntegerField(read_only=True)
class Meta:
fields = ('id', 'title', 'parent_id', 'nb_notes', 'created_time')
... | 29.84 | 98 | 0.628239 | 2,110 | 0.942806 | 0 | 0 | 0 | 0 | 0 | 0 | 416 | 0.18588 |
8e6a3aa8541823f934e62f4e12fc8d0777921c86 | 435 | py | Python | bs.py | marlinarnz/roster_creator | 4a158254bbe68e46e604426a59fe26e68711281b | [
"MIT"
] | null | null | null | bs.py | marlinarnz/roster_creator | 4a158254bbe68e46e604426a59fe26e68711281b | [
"MIT"
] | null | null | null | bs.py | marlinarnz/roster_creator | 4a158254bbe68e46e604426a59fe26e68711281b | [
"MIT"
] | null | null | null | import datetime
from app.constants import Constants as c
from app.input import InputMonthly
from app.output import OutputFactory
from app.create import CreatorUtility, SolverMIP
inp = InputMonthly()
out = OutputFactory()
solv = SolverMIP()
creator = CreatorUtility(inp, out, solv)
settings = {c.START: datetime.date(2... | 25.588235 | 48 | 0.728736 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8e6ab08948cc89750d63dd9c07947a6c58786c2f | 5,859 | py | Python | Plots/MapProjections/NCL_sat_3.py | learn2free/GeoCAT-examples | 3ac152a767e78a362a8ebb6f677005f3de320ca6 | [
"Apache-2.0"
] | 1 | 2021-05-09T02:54:10.000Z | 2021-05-09T02:54:10.000Z | Plots/MapProjections/NCL_sat_3.py | learn2free/GeoCAT-examples | 3ac152a767e78a362a8ebb6f677005f3de320ca6 | [
"Apache-2.0"
] | null | null | null | Plots/MapProjections/NCL_sat_3.py | learn2free/GeoCAT-examples | 3ac152a767e78a362a8ebb6f677005f3de320ca6 | [
"Apache-2.0"
] | null | null | null | """
NCL_sat_3.py
================
This script illustrates the following concepts:
- zooming into an orthographic projection
- plotting filled contour data on an orthographic map
- plotting lat/lon tick marks on an orthographic map
See following URLs to see the reproduced NCL plot & script:
- Original ... | 33.48 | 82 | 0.497013 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,011 | 0.343233 |
8e6c93847574069cca7db77ebf31e5ff0a8a00ef | 2,047 | py | Python | bot/team.py | mcfunley/clippingsbot | 2954d5b5aa854b57d062a98e2133d258f9fd86c7 | [
"MIT"
] | 1 | 2019-02-06T16:52:05.000Z | 2019-02-06T16:52:05.000Z | bot/team.py | mcfunley/clippingsbot | 2954d5b5aa854b57d062a98e2133d258f9fd86c7 | [
"MIT"
] | null | null | null | bot/team.py | mcfunley/clippingsbot | 2954d5b5aa854b57d062a98e2133d258f9fd86c7 | [
"MIT"
] | null | null | null | from bot import db
def save(data):
sql = """
insert into clippingsbot.teams (
team_id, access_token, user_id, team_name, scope
) values (
:team_id, :access_token, :user_id, :team_name, :scope
) on conflict (team_id) do update
set scope = excluded.scope,
access_token = exclud... | 28.041096 | 76 | 0.662921 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,235 | 0.603322 |
8e6d24e204761284a5dd415da03add5895524b76 | 3,947 | py | Python | meeshkan/nlp/spec_transformer.py | meeshkan/meeshkan-nlp | 63ef1e0ef31fd9c2031c89e9fd6ca3fc46eef13e | [
"MIT"
] | 1 | 2020-04-02T08:02:33.000Z | 2020-04-02T08:02:33.000Z | meeshkan/nlp/spec_transformer.py | meeshkan/meeshkan-nlp | 63ef1e0ef31fd9c2031c89e9fd6ca3fc46eef13e | [
"MIT"
] | 9 | 2020-03-24T21:09:16.000Z | 2020-07-24T09:58:11.000Z | meeshkan/nlp/spec_transformer.py | meeshkan/meeshkan-nlp | 63ef1e0ef31fd9c2031c89e9fd6ca3fc46eef13e | [
"MIT"
] | null | null | null | import typing
from operator import itemgetter
from http_types import HttpExchange
from jsonpath_rw import parse
from openapi_typed_2 import OpenAPIObject, convert_from_openapi, convert_to_openapi
from meeshkan.nlp.data_extractor import DataExtractor
from meeshkan.nlp.entity_extractor import EntityExtractor
from meesh... | 40.27551 | 88 | 0.624272 | 3,448 | 0.873575 | 0 | 0 | 0 | 0 | 0 | 0 | 224 | 0.056752 |
8e6f58d75f26add4efd1a1ca913400a65b65e8ba | 62 | py | Python | app/main/errors.py | AJowett/chatty | a23fa594d53ac4d0851d7ce44d3fa81836e379d1 | [
"MIT"
] | null | null | null | app/main/errors.py | AJowett/chatty | a23fa594d53ac4d0851d7ce44d3fa81836e379d1 | [
"MIT"
] | null | null | null | app/main/errors.py | AJowett/chatty | a23fa594d53ac4d0851d7ce44d3fa81836e379d1 | [
"MIT"
] | null | null | null | from flask import render_template, request
from . import main
| 20.666667 | 42 | 0.822581 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8e7144c085cff446c01b799bb109c5bbe09b0b02 | 3,216 | py | Python | policies.py | IBM/LOA | 9cd402c814f1d9c8b4de52ee18a3cb7ec2c6d07a | [
"MIT"
] | 12 | 2021-12-15T09:03:36.000Z | 2022-03-28T21:37:25.000Z | policies.py | IBM/LOA | 9cd402c814f1d9c8b4de52ee18a3cb7ec2c6d07a | [
"MIT"
] | 3 | 2022-01-04T18:03:01.000Z | 2022-03-31T16:15:25.000Z | policies.py | IBM/LOA | 9cd402c814f1d9c8b4de52ee18a3cb7ec2c6d07a | [
"MIT"
] | 4 | 2022-01-04T17:44:23.000Z | 2022-03-28T21:37:42.000Z | import os
import sys
import torch.nn as nn
if True:
DDLNN_HOME = os.environ['DDLNN_HOME']
meta_rule_home = '{}/src/meta_rule/'.format(DDLNN_HOME)
src_rule_home = '{}/dd_lnn/'.format(DDLNN_HOME)
sys.path.append(meta_rule_home)
sys.path.append(src_rule_home)
from lnn_operators \
impor... | 30.056075 | 79 | 0.600435 | 2,794 | 0.868781 | 0 | 0 | 0 | 0 | 0 | 0 | 134 | 0.041667 |
8e714557c8e4d44f9b9d7485ed6921411a4740ad | 359 | py | Python | test/test_sns.py | TSNobleSoftware/awssert | a924d591523813b070d67bb4df4bd08913c12eac | [
"Apache-2.0"
] | 19 | 2021-04-25T13:28:12.000Z | 2021-06-16T18:30:38.000Z | test/test_sns.py | TSNobleSoftware/awssert | a924d591523813b070d67bb4df4bd08913c12eac | [
"Apache-2.0"
] | 23 | 2021-04-06T17:00:04.000Z | 2021-04-20T18:03:35.000Z | test/test_sns.py | TSNoble/awssert | a924d591523813b070d67bb4df4bd08913c12eac | [
"Apache-2.0"
] | 1 | 2021-04-07T07:45:37.000Z | 2021-04-07T07:45:37.000Z | import moto
import boto3
@moto.mock_sns
def test_topic_should_receive_message_assertion():
arn = boto3.client("sns").create_topic(Name="foo")["TopicArn"]
topic = boto3.resource("sns").Topic(arn)
with topic.should.receive("foo"):
topic.publish(Message="foo")
with topic.should_not.receive("bar")... | 27.615385 | 66 | 0.696379 | 0 | 0 | 0 | 0 | 331 | 0.922006 | 0 | 0 | 45 | 0.125348 |
8e71ce111f7ea9dd7c20cea0fda5b54b66380cdd | 423 | py | Python | stopwatch/__init__.py | hrishikeshrt/py_stopwatch | 8a8dd2f35def2d6ca7f5b6d04f7d7428df9ef3a6 | [
"MIT"
] | 2 | 2022-03-04T11:37:44.000Z | 2022-03-04T13:53:13.000Z | stopwatch/__init__.py | hrishikeshrt/py_stopwatch | 8a8dd2f35def2d6ca7f5b6d04f7d7428df9ef3a6 | [
"MIT"
] | null | null | null | stopwatch/__init__.py | hrishikeshrt/py_stopwatch | 8a8dd2f35def2d6ca7f5b6d04f7d7428df9ef3a6 | [
"MIT"
] | null | null | null |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Apr 12 21:22:49 2021
@author: Hrishikesh Terdalkar
"""
###############################################################################
__author__ = """Hrishikesh Terdalkar"""
__email__ = 'hrishikeshrt@linuxmail.org'
__version__ = '0.0.2'
###########... | 22.263158 | 79 | 0.43026 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 338 | 0.799054 |
8e723b8f4a32d0c8a03c62c48807cc3c480dfc71 | 16,604 | py | Python | PsychoPy/testscript.py | esbenkc/Experimental-Methods-1 | e2fa12df0f98043ea83f61f439525a5e78978340 | [
"MIT"
] | null | null | null | PsychoPy/testscript.py | esbenkc/Experimental-Methods-1 | e2fa12df0f98043ea83f61f439525a5e78978340 | [
"MIT"
] | null | null | null | PsychoPy/testscript.py | esbenkc/Experimental-Methods-1 | e2fa12df0f98043ea83f61f439525a5e78978340 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
This experiment was created using PsychoPy3 Experiment Builder (v3.1.3),
on June 24, 2019, at 16:21
If you publish work using this script please cite the PsychoPy publications:
Peirce, JW (2007) PsychoPy - Psychophysics software in Python.
Journal of Neu... | 41.51 | 201 | 0.668152 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,885 | 0.414659 |
8e73639fd89c53082140ccfdb67b914c88ac5358 | 831 | py | Python | t1.py | eferro/pydatastructsalgorithms | 20b84afaa85ee1bba59fcc2bcbe6a2dd058da7bf | [
"MIT"
] | null | null | null | t1.py | eferro/pydatastructsalgorithms | 20b84afaa85ee1bba59fcc2bcbe6a2dd058da7bf | [
"MIT"
] | null | null | null | t1.py | eferro/pydatastructsalgorithms | 20b84afaa85ee1bba59fcc2bcbe6a2dd058da7bf | [
"MIT"
] | null | null | null | from pydatastructsalgorithms import tree_list as tree
# r = tree.binary_tree(3)
# tree.insert_left(r, 4)
# tree.insert_left(r, 5)
# tree.insert_right(r, 6)
# tree.insert_right(r, 7)
# l = tree.get_left_child(r)
# tree.set_root_val(l, 9)
# tree.insert_left(l, 11)
# print(tree.get_right_child(tree.get_right_child(r)))
... | 23.742857 | 70 | 0.713598 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 499 | 0.600481 |
8e73968f0c29704beef26acb5999c4d5909b9d5e | 309 | py | Python | choptop-backend/sensor_controller.py | rossng/choptop | cf776d3fdcca92cda2ba56768bac04c37416ec0f | [
"MIT"
] | 1 | 2018-04-10T20:10:39.000Z | 2018-04-10T20:10:39.000Z | choptop-backend/sensor_controller.py | rossng/choptop | cf776d3fdcca92cda2ba56768bac04c37416ec0f | [
"MIT"
] | 1 | 2020-04-29T23:14:11.000Z | 2020-04-29T23:14:11.000Z | choptop-backend/sensor_controller.py | rossng/choptop | cf776d3fdcca92cda2ba56768bac04c37416ec0f | [
"MIT"
] | null | null | null | from flask import _app_ctx_stack, jsonify
from choptop import app
def get_model():
appContext = _app_ctx_stack.top
choptop = getattr(appContext, "ChopTop", None)
return choptop
@app.route('/position')
def get_position(self):
choptop = get_model()
return jsonify(choptop.finger_position) | 23.769231 | 50 | 0.7411 | 0 | 0 | 0 | 0 | 117 | 0.378641 | 0 | 0 | 20 | 0.064725 |
8e745ff62ea6033b9af40da163096d4969eae110 | 3,856 | py | Python | EmbLearning/config.py | zhangjindou/SoLE | 2c20e39603ece315d571f8eb12674c6be8d378a4 | [
"MIT"
] | 2 | 2021-03-14T06:35:12.000Z | 2022-01-03T08:39:30.000Z | EmbLearning/config.py | zhangjindou/SoLE | 2c20e39603ece315d571f8eb12674c6be8d378a4 | [
"MIT"
] | null | null | null | EmbLearning/config.py | zhangjindou/SoLE | 2c20e39603ece315d571f8eb12674c6be8d378a4 | [
"MIT"
] | 1 | 2021-03-14T06:35:13.000Z | 2021-03-14T06:35:13.000Z | # ----------------------- PATH ------------------------
ROOT_PATH = "."
DATA_PATH = "%s/../Datasets" % ROOT_PATH
FB15K_DATA_PATH = "%s/fb15k" % DATA_PATH
DB100K_DATA_PATH = "%s/db100k" % DATA_PATH
FB15K_SPARSE_DATA_PATH = "%s/fb15k-sparse" % DATA_PATH
LOG_PATH = "%s/log_dir" % ROOT_PATH
CHECKPOINT_PATH = "%s/checkpoi... | 34.428571 | 76 | 0.673237 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,220 | 0.31639 |
8e79f3580f36653daa75d2b29b580bf63af34199 | 932 | py | Python | Krypton/WebApp/__init__.py | BolunHan/Krypton | 8caf8e8efad6172ea0783c777e7df49a2ac512cb | [
"MIT"
] | null | null | null | Krypton/WebApp/__init__.py | BolunHan/Krypton | 8caf8e8efad6172ea0783c777e7df49a2ac512cb | [
"MIT"
] | null | null | null | Krypton/WebApp/__init__.py | BolunHan/Krypton | 8caf8e8efad6172ea0783c777e7df49a2ac512cb | [
"MIT"
] | null | null | null | from flask import Flask
from werkzeug.middleware.dispatcher import DispatcherMiddleware
from werkzeug.serving import run_simple
from Base import Telemetric, CONFIG
__all__ = ['start_app']
__version__ = "0.1.0"
LOGGER = Telemetric.LOGGER.getChild('WebApp')
APP = Flask(__name__)
HOSTNAME = CONFIG.get('WebApp', 'HOST',... | 23.3 | 83 | 0.683476 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 164 | 0.175966 |
8e7b1a04d745dc6e204362c61a41930cc35f005b | 682 | py | Python | class3/testsvg.py | dnsbob/pynet_testz | 8a4c778e8592efd796dc27417b7ae7ee4d9111cc | [
"Apache-2.0"
] | null | null | null | class3/testsvg.py | dnsbob/pynet_testz | 8a4c778e8592efd796dc27417b7ae7ee4d9111cc | [
"Apache-2.0"
] | null | null | null | class3/testsvg.py | dnsbob/pynet_testz | 8a4c778e8592efd796dc27417b7ae7ee4d9111cc | [
"Apache-2.0"
] | null | null | null | ''' testsvg.py '''
import pygal
fa4_in_packets = [24, 21, 40, 32, 21, 21, 49, 9, 21, 34, 24, 21]
fa4_out_packets = [21, 24, 21, 40, 32, 21, 21, 49, 9, 21, 34, 24]
# Create a Chart of type Line
line_chart = pygal.Line()
# Title
line_chart.title = 'Input/Output Packets and Bytes'
# X-axis labels (samples were every ... | 29.652174 | 93 | 0.678886 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 337 | 0.494135 |
8e7b99b3286e2086dc64ba2272a4da8ef40cb9cf | 2,573 | py | Python | CKC102_python_example.py | sagenew/scc-ckc-api-examples | fd86e435877cf68f35d01b8314a47a08b83eb391 | [
"MIT"
] | null | null | null | CKC102_python_example.py | sagenew/scc-ckc-api-examples | fd86e435877cf68f35d01b8314a47a08b83eb391 | [
"MIT"
] | null | null | null | CKC102_python_example.py | sagenew/scc-ckc-api-examples | fd86e435877cf68f35d01b8314a47a08b83eb391 | [
"MIT"
] | null | null | null | import urllib.parse, urllib.request, json, ssl
# Authentication and API Requests
# LEARNING LAB 2 Cisco Kinetic for Cities
# The Initial login steps are the same as Learning Lab 1.
# You can skip ahead to 'LEARNING LAB 2 CODE BEGINS HERE'
#Ignore invalid Certificates
ssl._create_default_https_context = ssl._create_... | 37.289855 | 128 | 0.724835 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,792 | 0.696463 |
8e7d265dcc13b68469fdea2d8131380b85fbb3c6 | 4,780 | py | Python | judge/machine.py | Means88/judge-backend | 6e998ebb145911e66f8baec6568f007082835a61 | [
"MIT"
] | null | null | null | judge/machine.py | Means88/judge-backend | 6e998ebb145911e66f8baec6568f007082835a61 | [
"MIT"
] | 3 | 2020-06-05T19:21:25.000Z | 2021-06-10T20:54:22.000Z | judge/machine.py | Means88/judge-backend | 6e998ebb145911e66f8baec6568f007082835a61 | [
"MIT"
] | null | null | null | import json
import uuid
import os
import docker
import time
from celery.utils.log import get_task_logger
from config import settings
from .language import LANGUAGE
from .status import ComputingStatus
logger = get_task_logger(__name__)
class Machine:
client = docker.from_env()
def __init__(self):
s... | 32.965517 | 105 | 0.565063 | 4,539 | 0.949582 | 0 | 0 | 0 | 0 | 0 | 0 | 597 | 0.124895 |
8e7e2fd82b90a62a490603dc24f1988ca7e27fb8 | 31 | py | Python | networth/__init__.py | Hedde/django-networth | 496311e31f3b49202bda9c0b2997ee4508cc9477 | [
"MIT"
] | null | null | null | networth/__init__.py | Hedde/django-networth | 496311e31f3b49202bda9c0b2997ee4508cc9477 | [
"MIT"
] | 3 | 2020-02-12T00:02:35.000Z | 2021-06-10T19:38:41.000Z | networth/__init__.py | Hedde/django-networth | 496311e31f3b49202bda9c0b2997ee4508cc9477 | [
"MIT"
] | null | null | null | __author__ = 'heddevanderheide' | 31 | 31 | 0.83871 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0.580645 |
8e7edf92edac4cf5b0a634e3bcb329f30e6b8e66 | 2,160 | py | Python | sources/classic/messaging_kombu/consumer.py | variasov/classic_messaging_kombu | c4191f3d1f788a39f50dc137eca1b67f3ee2af20 | [
"MIT"
] | 1 | 2021-11-12T08:19:53.000Z | 2021-11-12T08:19:53.000Z | sources/classic/messaging_kombu/consumer.py | variasov/classic_messaging_kombu | c4191f3d1f788a39f50dc137eca1b67f3ee2af20 | [
"MIT"
] | null | null | null | sources/classic/messaging_kombu/consumer.py | variasov/classic_messaging_kombu | c4191f3d1f788a39f50dc137eca1b67f3ee2af20 | [
"MIT"
] | null | null | null | from functools import partial
import logging
from typing import Callable, Any, Iterable
from collections import defaultdict
from kombu import Connection
from kombu.mixins import ConsumerMixin
from classic.components import component
from .handlers import MessageHandler, SimpleMessageHandler
from .scheme import Broke... | 29.589041 | 75 | 0.6375 | 1,742 | 0.806481 | 0 | 0 | 1,753 | 0.811574 | 0 | 0 | 100 | 0.046296 |
8e7ff2193d4240f5f73671b8a5f9d6d5555d5513 | 2,004 | py | Python | du4/du4.py | Honzaik/PocAlgDU | a3d32d1906298ba4bc1627640ecc04370ff4e49c | [
"Unlicense"
] | null | null | null | du4/du4.py | Honzaik/PocAlgDU | a3d32d1906298ba4bc1627640ecc04370ff4e49c | [
"Unlicense"
] | null | null | null | du4/du4.py | Honzaik/PocAlgDU | a3d32d1906298ba4bc1627640ecc04370ff4e49c | [
"Unlicense"
] | null | null | null | from cmath import exp, pi
from math import log2
def vratLiche(a):
oddA = list();
for i in range(len(a)):
if(i % 2 == 1):
oddA.append(a[i])
return oddA
def vratSude(a):
evenA = list()
for i in range(len(a)):
if(i % 2 == 0):
evenA.append(a[i])
return evenA... | 27.833333 | 65 | 0.510978 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 106 | 0.052841 |
8e80ad9615affb9458b6c1ded08a8495b039b868 | 609 | py | Python | lang/py/pylib/07/pickle/pickle_dump_to_file1.py | ch1huizong/learning | 632267634a9fd84a5f5116de09ff1e2681a6cc85 | [
"MIT"
] | null | null | null | lang/py/pylib/07/pickle/pickle_dump_to_file1.py | ch1huizong/learning | 632267634a9fd84a5f5116de09ff1e2681a6cc85 | [
"MIT"
] | null | null | null | lang/py/pylib/07/pickle/pickle_dump_to_file1.py | ch1huizong/learning | 632267634a9fd84a5f5116de09ff1e2681a6cc85 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# -*- coding:UTF-8 -*-
# 把对象pickle至文件
try:
import cPickle as pickle
except:
import pickle
import sys
class SimpleObject(object):
def __init__(self,name):
self.name = name
self.name_backwards = name[::-1]
if __name__ == '__main__':
data = []
data.append(Sim... | 20.3 | 66 | 0.596059 | 122 | 0.196457 | 0 | 0 | 0 | 0 | 0 | 0 | 126 | 0.202899 |
8e85f751c8a5501a2b056c1fde74847efffec00d | 4,147 | py | Python | tests/test_cv.py | goyoambrosio/RobotAtHome2 | 9ab31e5e11d8551b9f6934d90245221449dbbbf4 | [
"MIT"
] | 1 | 2022-03-08T19:00:37.000Z | 2022-03-08T19:00:37.000Z | tests/test_cv.py | goyoambrosio/RobotAtHome2 | 9ab31e5e11d8551b9f6934d90245221449dbbbf4 | [
"MIT"
] | null | null | null | tests/test_cv.py | goyoambrosio/RobotAtHome2 | 9ab31e5e11d8551b9f6934d90245221449dbbbf4 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8; buffer-read-only: t -*-
__author__ = "Gregorio Ambrosio"
__contact__ = "gambrosio[at]uma.es"
__copyright__ = "Copyright 2021, Gregorio Ambrosio"
__date__ = "2021/02/22"
__license__ = "MIT"
import unittest
import os
import sys
import pandas as pd
import matplotlib.pyplot as p... | 30.947761 | 78 | 0.564022 | 3,758 | 0.894123 | 0 | 0 | 0 | 0 | 0 | 0 | 1,716 | 0.40828 |
8e8737e7bdcd75430db3502155a2cb8e2ea47372 | 4,483 | py | Python | third_party/DiffAugment_pytorch.py | SuperStar0907/lecam-gan | e502c9b182345ddd03d29edda56b76caa7d8fb41 | [
"Apache-2.0"
] | 135 | 2021-03-23T23:07:47.000Z | 2022-03-30T03:08:42.000Z | third_party/DiffAugment_pytorch.py | SuperStar0907/lecam-gan | e502c9b182345ddd03d29edda56b76caa7d8fb41 | [
"Apache-2.0"
] | 12 | 2021-04-06T16:57:14.000Z | 2021-12-31T07:06:05.000Z | third_party/DiffAugment_pytorch.py | SuperStar0907/lecam-gan | e502c9b182345ddd03d29edda56b76caa7d8fb41 | [
"Apache-2.0"
] | 13 | 2021-03-24T14:37:48.000Z | 2022-03-06T13:24:52.000Z | # Differentiable Augmentation for Data-Efficient GAN Training
# Shengyu Zhao, Zhijian Liu, Ji Lin, Jun-Yan Zhu, and Song Han
# https://arxiv.org/pdf/2006.10738
import torch
import torch.nn.functional as F
from torch.distributions.dirichlet import _Dirichlet
def BetaSample(alpha, beta, sample_shape=torch.Size()):
... | 39.672566 | 110 | 0.586438 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 383 | 0.085434 |
8e8a1596a6b3ed1679875e09d7a25bdcda290e69 | 3,000 | py | Python | advent_of_code_2021/day4/giant_squid.py | mortendaehli/advent-of-code-2021 | b36959eeff461d1d9eb8bf32c1efc767f6f00b23 | [
"MIT"
] | null | null | null | advent_of_code_2021/day4/giant_squid.py | mortendaehli/advent-of-code-2021 | b36959eeff461d1d9eb8bf32c1efc767f6f00b23 | [
"MIT"
] | null | null | null | advent_of_code_2021/day4/giant_squid.py | mortendaehli/advent-of-code-2021 | b36959eeff461d1d9eb8bf32c1efc767f6f00b23 | [
"MIT"
] | null | null | null | import re
from dataclasses import dataclass
from typing import List, Optional
@dataclass
class PlayBoard:
numbers: List[List[Optional[int]]]
def read_numbers() -> List[int]:
with open("data.txt", "r") as file:
data = file.readline()
return list(map(int, data.split(",")))
def read_boards() -> L... | 30.30303 | 118 | 0.640333 | 55 | 0.018333 | 0 | 0 | 66 | 0.022 | 0 | 0 | 595 | 0.198333 |
8e8ac78399e840a9f4584fc74b5d093c38c0fc44 | 265 | py | Python | lastrender/settings.py | jc855/lastgraph | a2917e73f0e0b9409e897e4a83944e72161a33ce | [
"BSD-3-Clause"
] | 77 | 2015-01-03T20:26:28.000Z | 2021-07-07T15:08:25.000Z | lastrender/settings.py | jc855/lastgraph | a2917e73f0e0b9409e897e4a83944e72161a33ce | [
"BSD-3-Clause"
] | 1 | 2021-06-10T23:42:31.000Z | 2021-06-10T23:42:31.000Z | lastrender/settings.py | jc855/lastgraph | a2917e73f0e0b9409e897e4a83944e72161a33ce | [
"BSD-3-Clause"
] | 20 | 2015-01-17T16:33:41.000Z | 2021-12-23T03:40:36.000Z | import os
static_path = os.path.join(os.path.dirname(__file__), "..", "static")
apiurl = "http://localhost:8000/api/%s"
local_store = os.path.join(static_path, "graphs")
local_store_url = "http://localhost:8000/static/graphs"
nodename = "lg"
nodepwd = "lg@home"
| 24.090909 | 69 | 0.709434 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 0.377358 |
8e8b609df5d78fd1e3a458dac9a51ed8f9a19335 | 952 | py | Python | src/omnis/structure_nodes/loop.py | rodrigogomesantos/omnis | a6f59c870d86c112f26a5b98c31889d64eea39eb | [
"MIT"
] | null | null | null | src/omnis/structure_nodes/loop.py | rodrigogomesantos/omnis | a6f59c870d86c112f26a5b98c31889d64eea39eb | [
"MIT"
] | null | null | null | src/omnis/structure_nodes/loop.py | rodrigogomesantos/omnis | a6f59c870d86c112f26a5b98c31889d64eea39eb | [
"MIT"
] | null | null | null | class loop():
def __init__(self, _loop_type, **kwargs) -> None:
self.type = _loop_type
self.kwargs = kwargs
self.break_function = self.kwargs.get("break_function")
self.range = kwargs.get("range")
self.start = getattr(self, f"_{self.type}")
self.counter = 0
se... | 35.259259 | 63 | 0.590336 | 952 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 0.039916 |
8e8bc66edbc27feb19c1a24e01f7065d5f4aedb0 | 4,646 | py | Python | mesh_vertex_color/np_ray_triangle_intersection.py | naysok/Mesh_Vertex_Color | c6fafe480957305176ac1adc14c093d9278baa94 | [
"MIT"
] | 1 | 2020-09-17T16:41:34.000Z | 2020-09-17T16:41:34.000Z | mesh_vertex_color/np_ray_triangle_intersection.py | naysok/Mesh_Vertex_Color | c6fafe480957305176ac1adc14c093d9278baa94 | [
"MIT"
] | null | null | null | mesh_vertex_color/np_ray_triangle_intersection.py | naysok/Mesh_Vertex_Color | c6fafe480957305176ac1adc14c093d9278baa94 | [
"MIT"
] | null | null | null | import sys
import numpy as np
#############################################################
### ###
### Module for Python3 ###
### * Using Numpy ( + Cupy ? ) ###
### ... | 30.168831 | 88 | 0.44619 | 4,228 | 0.91003 | 0 | 0 | 0 | 0 | 0 | 0 | 1,783 | 0.383771 |
8e8c088d3edb685bf729a71250bfe8e5e7bfb65d | 2,046 | py | Python | src/dungeonbot/plugins/helpers/die_roll.py | tlake/dungeonbot_backup | 715c14d3a06d8a7a8771572371b67cc87c7e17fb | [
"MIT"
] | null | null | null | src/dungeonbot/plugins/helpers/die_roll.py | tlake/dungeonbot_backup | 715c14d3a06d8a7a8771572371b67cc87c7e17fb | [
"MIT"
] | null | null | null | src/dungeonbot/plugins/helpers/die_roll.py | tlake/dungeonbot_backup | 715c14d3a06d8a7a8771572371b67cc87c7e17fb | [
"MIT"
] | null | null | null | class DieRoll(object):
"""Roll object that parses roll string and calls appropriate function."""
def __init__(self, roll_str, flag):
"""Initialize Die roll object by breaking apart roll string."""
valid_flags = {
"a": self.advantage,
"d": self.disadvantage
}
... | 31.476923 | 77 | 0.535679 | 2,045 | 0.999511 | 0 | 0 | 0 | 0 | 0 | 0 | 366 | 0.178886 |
8e8d954a7e320b872b94573d4e171b827ee4d202 | 1,099 | py | Python | src/utils/load_or_make.py | jlehnersd/metis_project2 | 0bde762c43c4cf9aa5c6672b894e704803616aa3 | [
"MIT"
] | 16 | 2019-04-08T22:09:51.000Z | 2021-08-02T18:18:41.000Z | src/utils/load_or_make.py | jlehnersd/metis_project2 | 0bde762c43c4cf9aa5c6672b894e704803616aa3 | [
"MIT"
] | 1 | 2019-11-19T06:27:37.000Z | 2019-12-26T20:56:03.000Z | src/utils/load_or_make.py | floraxinru/metisproject04 | 80ee97eedbf675d6f5064eb92fd7166b56bb81e6 | [
"MIT"
] | 8 | 2019-04-08T23:01:39.000Z | 2021-08-02T18:18:43.000Z |
import os, pickle
import functools
def load_or_make(creator):
"""
Loads data that is pickled at filepath if filepath exists;
otherwise, calls creator(*args, **kwargs) to create the data
and pickle it at filepath.
Returns the data in either case.
Inputs:
- filepath: path to where data... | 28.179487 | 67 | 0.606915 | 0 | 0 | 0 | 0 | 362 | 0.32939 | 0 | 0 | 645 | 0.586897 |
8e8e40f2f08d10e053b3679ecaea9d2e6c4d91a1 | 183 | py | Python | djangoreactAnimalRescue/animalresque/animals/urls.py | LegolasVzla/django | bbecd7175fb4833731041f88c0ba3327f8a898f0 | [
"MIT"
] | null | null | null | djangoreactAnimalRescue/animalresque/animals/urls.py | LegolasVzla/django | bbecd7175fb4833731041f88c0ba3327f8a898f0 | [
"MIT"
] | 9 | 2019-12-04T22:50:51.000Z | 2022-02-10T10:25:40.000Z | djangoreactAnimalRescue/animalresque/animals/urls.py | LegolasVzla/django | bbecd7175fb4833731041f88c0ba3327f8a898f0 | [
"MIT"
] | null | null | null | from rest_framework import routers
from .api import AnimalViewSet
router = routers.DefaultRouter()
router.register('api/animals', AnimalViewSet, 'animals')
urlpatterns = router.urls | 26.142857 | 56 | 0.808743 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0.120219 |
8e8f2cd4383b58674dc6f3bff361444a5618a257 | 13,075 | py | Python | ir.py | safx/nu-scraper | 6b18d9f4937bd2a1cd5b89b141868e1ae60a5a4e | [
"MIT"
] | 3 | 2021-02-05T08:30:40.000Z | 2021-02-05T11:33:16.000Z | ir.py | safx/nu-scraper | 6b18d9f4937bd2a1cd5b89b141868e1ae60a5a4e | [
"MIT"
] | null | null | null | ir.py | safx/nu-scraper | 6b18d9f4937bd2a1cd5b89b141868e1ae60a5a4e | [
"MIT"
] | null | null | null | from os import replace
from typing import List, Dict, Any, Callable
import os
import re
import json
import functools
ST_UNKNOWN = "*"
ST_BOOL = "bool"
ST_INT = "integer"
ST_STR = "string"
ST_FLOAT = "float"
ST_URL = "url"
ST_DATETIME = "datetime"
REGEXP_URL = re.compile('^https?://.+$')
REGEX... | 36.218837 | 144 | 0.578356 | 8,837 | 0.67587 | 0 | 0 | 1,755 | 0.134226 | 0 | 0 | 756 | 0.05782 |
8e8fa3cd904b0121303ce6cd660e368b0933349e | 393 | py | Python | setup.py | RonenHoffer/grebot | a8ca01baba72ff13ad68706626c5fd51630bbdf1 | [
"MIT"
] | null | null | null | setup.py | RonenHoffer/grebot | a8ca01baba72ff13ad68706626c5fd51630bbdf1 | [
"MIT"
] | null | null | null | setup.py | RonenHoffer/grebot | a8ca01baba72ff13ad68706626c5fd51630bbdf1 | [
"MIT"
] | 1 | 2016-01-27T13:37:09.000Z | 2016-01-27T13:37:09.000Z | from setuptools import setup
from platform import system
SYSTEM = system()
VERSION = '1.0.2'
if SYSTEM == 'Windows':
scripts = ['grebot/grebot.bat']
else:
scripts = ['grebot/grebot.sh']
setup(
name='grebot',
version=VERSION,
packages=['grebot'],
license='MIT',
long_description=open('READM... | 18.714286 | 47 | 0.653944 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 96 | 0.244275 |
8e90005a1d37aeec86aa49ac6b0e7b616e3410f4 | 3,774 | py | Python | src/arcos_gui/magic_guis.py | bgraedel/arcos-gui | aaeeba3aae1bc9a23c635ebabf6309f878ad8a39 | [
"BSD-3-Clause"
] | 2 | 2022-02-22T14:24:38.000Z | 2022-02-26T13:33:25.000Z | src/arcos_gui/magic_guis.py | bgraedel/arcos-gui | aaeeba3aae1bc9a23c635ebabf6309f878ad8a39 | [
"BSD-3-Clause"
] | null | null | null | src/arcos_gui/magic_guis.py | bgraedel/arcos-gui | aaeeba3aae1bc9a23c635ebabf6309f878ad8a39 | [
"BSD-3-Clause"
] | null | null | null | import operator
from magicgui import magicgui
OPERATOR_DICTIONARY = {
"Divide": (operator.truediv, "Measurement_Ratio"),
"Multiply": (operator.mul, "Measurement_Product"),
"Add": (operator.add, "Measurement_Sum"),
"Subtract": (operator.sub, "Measurement_Difference"),
}
measurement_math_options = list... | 29.952381 | 144 | 0.621092 | 0 | 0 | 0 | 0 | 3,033 | 0.803657 | 0 | 0 | 1,829 | 0.484632 |
8e90bb685c3b1c5f6854891a144a51a32c3e3543 | 3,717 | py | Python | pylibrets/models.py | fernherrera/pylibrets | ee7ae95a9a7c8809c4bc6d269c52518d672cbf82 | [
"MIT"
] | 5 | 2016-08-02T16:01:31.000Z | 2017-09-15T21:44:56.000Z | pylibrets/models.py | fernherrera/pylibrets | ee7ae95a9a7c8809c4bc6d269c52518d672cbf82 | [
"MIT"
] | null | null | null | pylibrets/models.py | fernherrera/pylibrets | ee7ae95a9a7c8809c4bc6d269c52518d672cbf82 | [
"MIT"
] | 1 | 2017-07-29T18:42:09.000Z | 2017-07-29T18:42:09.000Z | """
Model classes - contains the primary objects that power pylibRETS.
"""
class MetadataSystem(object):
def __init__(self):
self.GetSystemID = None
self.GetSystemDescription = None
self.GetComments = None
self.GetTimeZoneOffset = None
self.GetMetadataID = None
self.GetResourceVersion = None
self.Get... | 25.634483 | 66 | 0.750605 | 3,626 | 0.975518 | 0 | 0 | 0 | 0 | 0 | 0 | 74 | 0.019909 |
8e91dfb90c4fe4bfe8c34531aaadba87573629d2 | 980 | py | Python | setup.py | michaelremington2/uumarrty | 4c48b496e09429eb6777f9dececa7c7be203cc8c | [
"BSD-3-Clause"
] | null | null | null | setup.py | michaelremington2/uumarrty | 4c48b496e09429eb6777f9dececa7c7be203cc8c | [
"BSD-3-Clause"
] | null | null | null | setup.py | michaelremington2/uumarrty | 4c48b496e09429eb6777f9dececa7c7be203cc8c | [
"BSD-3-Clause"
] | null | null | null | #! /usr/bin/env python
# -*- coding: utf-8 -*-
from setuptools import setup, find_packages
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name='uumarrty',
version='0.0.1',
url='https://github.com/michaelremington2/uumarrty',
author='Michael Remington and Jeet Sukumaran',
... | 28.823529 | 68 | 0.656122 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 502 | 0.512245 |
8e92b7bf4f6465a749d963319c6412e27abe7160 | 111 | py | Python | src/ToolChainSCDG/procedures/linux/custom_package/gen_simproc4v.py | AnonymousSEMA/SEMA-ToolChain | 05d6a7e43e10d4b1f6c5dfb70fbabeab3d4daf82 | [
"BSD-2-Clause"
] | null | null | null | src/ToolChainSCDG/procedures/linux/custom_package/gen_simproc4v.py | AnonymousSEMA/SEMA-ToolChain | 05d6a7e43e10d4b1f6c5dfb70fbabeab3d4daf82 | [
"BSD-2-Clause"
] | null | null | null | src/ToolChainSCDG/procedures/linux/custom_package/gen_simproc4v.py | AnonymousSEMA/SEMA-ToolChain | 05d6a7e43e10d4b1f6c5dfb70fbabeab3d4daf82 | [
"BSD-2-Clause"
] | null | null | null | import angr
class gen_simproc4v(angr.SimProcedure):
def run(self, arg1, ar2, arg3, arg4):
return
| 15.857143 | 41 | 0.675676 | 96 | 0.864865 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8e92d4b4780c0502b64aba9cbe5abb7f02ad327d | 10,370 | py | Python | _pylab_colorslider.py | streitho/spinmob | 5dd75b54de1b158e6f1308612336638fde520cbd | [
"Unlicense"
] | null | null | null | _pylab_colorslider.py | streitho/spinmob | 5dd75b54de1b158e6f1308612336638fde520cbd | [
"Unlicense"
] | null | null | null | _pylab_colorslider.py | streitho/spinmob | 5dd75b54de1b158e6f1308612336638fde520cbd | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python
#Boa:App:BoaApp
import wx
import matplotlib as _matplotlib
import pylab as _pylab
import _pylab_colorslider_frame as _pcf; reload(_pcf)
try: _prefs
except: _prefs = None
modules ={u'pylab_colorslider_frame': [1,
'Main frame of Application',
... | 34.451827 | 105 | 0.533848 | 9,622 | 0.927869 | 0 | 0 | 0 | 0 | 0 | 0 | 3,220 | 0.310511 |
8e948cdbd864ca7d68940aa639d8604501f00bc5 | 683 | py | Python | RackPi/Pages/Reboot.py | DarkIrata/rackpi | e588f9b42ae55c8a763ce9e7a953e29f25e696b3 | [
"MIT"
] | null | null | null | RackPi/Pages/Reboot.py | DarkIrata/rackpi | e588f9b42ae55c8a763ce9e7a953e29f25e696b3 | [
"MIT"
] | null | null | null | RackPi/Pages/Reboot.py | DarkIrata/rackpi | e588f9b42ae55c8a763ce9e7a953e29f25e696b3 | [
"MIT"
] | null | null | null | from Data.Drawer import Drawer
from Data.Helper import *
from Pages.PageBase import PageBase
class Reboot(PageBase):
def __init__(self, drawer: Drawer):
PageBase.__init__(self, drawer)
def UpdateCanvas(self):
if not self.CanUpdate(100):
return
self.drawer.ClearCanv... | 31.045455 | 65 | 0.610542 | 589 | 0.862372 | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 0.131772 |
8e98c19a9f41dbb82f2ec64a837df13e0499732e | 380 | py | Python | ex018.py | Gustavo-Dev-Web/python | 88c9a51cba5290d1dcfce8ea9481ed4749503f68 | [
"MIT"
] | null | null | null | ex018.py | Gustavo-Dev-Web/python | 88c9a51cba5290d1dcfce8ea9481ed4749503f68 | [
"MIT"
] | null | null | null | ex018.py | Gustavo-Dev-Web/python | 88c9a51cba5290d1dcfce8ea9481ed4749503f68 | [
"MIT"
] | null | null | null | from math import radians, sin, cos, tan
angulo = float(input('Digite o ângulo que você deseja: '))
seno = sin(radians(angulo))
cosseno = cos(radians(angulo))
tangente = tan(radians(angulo))
print(f'O ângulo de {angulo} tem o SENO de {seno :.2f}!')
print(f'O ângulo de {angulo} tem o COSSENO de {cosseno :.2f}!')
print(... | 34.545455 | 65 | 0.694737 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 204 | 0.52987 |
8e995a2b9016602f49ded74c3b7213f7af39a054 | 2,315 | py | Python | Dash/Plotly_to_Dash.py | jorge-garciadiego/Visualization-Dash | 68fe99ff5c3ecc99eea3845f38849669449d89d2 | [
"MIT"
] | null | null | null | Dash/Plotly_to_Dash.py | jorge-garciadiego/Visualization-Dash | 68fe99ff5c3ecc99eea3845f38849669449d89d2 | [
"MIT"
] | null | null | null | Dash/Plotly_to_Dash.py | jorge-garciadiego/Visualization-Dash | 68fe99ff5c3ecc99eea3845f38849669449d89d2 | [
"MIT"
] | null | null | null | import dash
import dash_core_components as dcc
import dash_html_components as html
import plotly.graph_objs as go
import numpy as np
app = dash.Dash()
# Creating Data
np.random.seed(42)
random_x = np.random.randint(1, 101, 100)
random_y = np.random.randint(1, 101, 100)
# everything that we are going to be inserting ... | 45.392157 | 90 | 0.310151 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 435 | 0.187905 |
8e9b97604a5cb5368bd271887ae7d926ada9d2f3 | 685 | py | Python | LeetCode/python/061-090/086-partition-list/solution.py | shootsoft/practice | 49f28c2e0240de61d00e4e0291b3c5edd930e345 | [
"Apache-2.0"
] | null | null | null | LeetCode/python/061-090/086-partition-list/solution.py | shootsoft/practice | 49f28c2e0240de61d00e4e0291b3c5edd930e345 | [
"Apache-2.0"
] | null | null | null | LeetCode/python/061-090/086-partition-list/solution.py | shootsoft/practice | 49f28c2e0240de61d00e4e0291b3c5edd930e345 | [
"Apache-2.0"
] | null | null | null | __author__ = 'yinjun'
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution:
# @param head, a ListNode
# @param x, an integer
# @return a ListNode
def partition(self, head, x):
h1 = ListNode(0)
... | 18.513514 | 41 | 0.464234 | 526 | 0.767883 | 0 | 0 | 0 | 0 | 0 | 0 | 204 | 0.29781 |
8e9c2da8ab435f1bdffb4bc676ac1fdf47cb0931 | 1,134 | py | Python | aprendi com guanabara/Ex 039.py | GustinSilva/python | fa1d4213771a2edc8dec8c08d0d19ada44e5e2f2 | [
"MIT"
] | null | null | null | aprendi com guanabara/Ex 039.py | GustinSilva/python | fa1d4213771a2edc8dec8c08d0d19ada44e5e2f2 | [
"MIT"
] | null | null | null | aprendi com guanabara/Ex 039.py | GustinSilva/python | fa1d4213771a2edc8dec8c08d0d19ada44e5e2f2 | [
"MIT"
] | null | null | null | """
Faça um programa que leia o ano de nascimento de um jovem e informe, de acordo com sua idade
se ele ainda vai se alistar
se é a hora de se alistar
se já passou o tempo de alistar
o programa também deve falar o tempo que falta ou que passou
"""
import datetime
import time
ano_nasc = int(input('Ano de Nascimento: '... | 35.4375 | 92 | 0.694004 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 635 | 0.555556 |
8e9c71c55ad72a43c98fbcef2fffb6bb801d664d | 3,040 | py | Python | standalone_tf/WholeImageDescriptor.py | galsh17/cartwheel_train | a50abe18cfe8c1f0f24267c3efa8537ecf211e72 | [
"MIT"
] | 32 | 2018-09-04T08:51:08.000Z | 2022-02-22T02:04:38.000Z | standalone_tf/WholeImageDescriptor.py | galsh17/cartwheel_train | a50abe18cfe8c1f0f24267c3efa8537ecf211e72 | [
"MIT"
] | 5 | 2019-05-27T07:54:52.000Z | 2022-01-11T10:14:25.000Z | standalone_tf/WholeImageDescriptor.py | galsh17/cartwheel_train | a50abe18cfe8c1f0f24267c3efa8537ecf211e72 | [
"MIT"
] | 14 | 2018-06-22T15:29:39.000Z | 2021-09-28T12:58:37.000Z | """
A class interfce to netvlad based whole image descriptor. To use the
pre-trained network in your application use this code and unit-test
Author : Manohar Kuse <mpkuse@connect.ust.hk>
Created : 20th Aug, 2018
"""
import cv2
import numpy as np
import os
import time
import code
import argparse
impor... | 30.707071 | 113 | 0.659868 | 1,490 | 0.490132 | 0 | 0 | 0 | 0 | 0 | 0 | 721 | 0.237171 |
8e9d1f88f2018b598e87d9922395a3eec689c6a1 | 2,389 | py | Python | jasonhelper/__init__.py | jbkoh/jason_python_helper | 6a9d8e31d070b5adb827ba96887db24cb431b94e | [
"MIT"
] | null | null | null | jasonhelper/__init__.py | jbkoh/jason_python_helper | 6a9d8e31d070b5adb827ba96887db24cb431b94e | [
"MIT"
] | 1 | 2017-10-12T23:01:32.000Z | 2017-11-21T06:44:07.000Z | jasonhelper/__init__.py | jbkoh/jason_python_helper | 6a9d8e31d070b5adb827ba96887db24cb431b94e | [
"MIT"
] | 1 | 2018-09-19T15:12:57.000Z | 2018-09-19T15:12:57.000Z | import argparse
import os
import time
## Argparser
def str2slist(s):
s.replace(' ', '')
return s.split(',')
def str2ilist(s):
s.replace(' ', '')
return [int(c) for c in s.split(',')]
def str2bool(v):
if v in ['true', 'True']:
return True
elif v in ['false', 'False']:
return F... | 25.688172 | 69 | 0.601925 | 1,250 | 0.523231 | 388 | 0.162411 | 0 | 0 | 0 | 0 | 253 | 0.105902 |
8e9d9a8e7ebad14756d858c92a15d00b8f0de94b | 2,983 | py | Python | data_evaluation.py | portaloffreedom/reinforcement-learning-in-rust | 470a8b6486a2c83dccbab9a0ef4bfd020e975d56 | [
"MIT"
] | null | null | null | data_evaluation.py | portaloffreedom/reinforcement-learning-in-rust | 470a8b6486a2c83dccbab9a0ef4bfd020e975d56 | [
"MIT"
] | null | null | null | data_evaluation.py | portaloffreedom/reinforcement-learning-in-rust | 470a8b6486a2c83dccbab9a0ef4bfd020e975d56 | [
"MIT"
] | null | null | null | # Download data, unzip, etc.
from matplotlib import pyplot as plt
import pandas as pd
import numpy as np
import scipy.stats as st
# Set some parameters to apply to all plots. These can be overridden
# in each plot if desired
import matplotlib
# Plot size to 14" x 7"
matplotlib.rc('figure', figsize = (14, 7))
# Font... | 33.516854 | 111 | 0.638284 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,199 | 0.401944 |
8e9e6af2d0e1e8b1eb883ee00252a7b5e6939c84 | 3,953 | py | Python | speedread_ner.py | gsi-upm/nerdy | 62d2a6df730e30bc1c05c91557fcfd2236b742b8 | [
"Apache-2.0"
] | 2 | 2017-10-26T19:40:51.000Z | 2018-03-07T12:10:49.000Z | speedread_ner.py | gsi-upm/nerdy | 62d2a6df730e30bc1c05c91557fcfd2236b742b8 | [
"Apache-2.0"
] | null | null | null | speedread_ner.py | gsi-upm/nerdy | 62d2a6df730e30bc1c05c91557fcfd2236b742b8 | [
"Apache-2.0"
] | null | null | null | __author__ = 'croman'
from pipeline import pipe
from lxml import etree
import rdflib
def ner(datasetfile, format):
tweets = ""
tweetids = []
if format == 'xml':
dataset = etree.parse(datasetfile)
for tweet in dataset.xpath('//Tweet'):
tweetText = tweet.xpath('./TweetText/text(... | 27.838028 | 77 | 0.517329 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,117 | 0.535543 |
8ea04f344a5f50abc39827025757b32b1b9d55c5 | 2,313 | py | Python | vfoot/gen/__init__.py | filipecn/vfoot | 3059f5bb471b6bdf92a18a7cdb6b33a2c8852046 | [
"MIT"
] | null | null | null | vfoot/gen/__init__.py | filipecn/vfoot | 3059f5bb471b6bdf92a18a7cdb6b33a2c8852046 | [
"MIT"
] | null | null | null | vfoot/gen/__init__.py | filipecn/vfoot | 3059f5bb471b6bdf92a18a7cdb6b33a2c8852046 | [
"MIT"
] | null | null | null | import pandas as pd
import random
def generate_teams(n_teams=128, n_countries=3, csv_file="times.csv"):
times = pd.DataFrame(columns=['nome', 'estadio', 'nacionalidade', 'score'])
for i in range(n_teams):
times = times.append({
'nome': 'Time ' + str(i),
'estadio': random.randin... | 32.125 | 107 | 0.5361 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 732 | 0.316472 |
8ea223055e4d3fcfd6d5415328c4b3e36324649c | 3,988 | py | Python | roles/openshift_health_checker/library/rpm_version.py | KoteikinyDrova/openshift-ansible | 3db2bb10c0ad5e7ed702bfccdec03562533e8539 | [
"Apache-2.0"
] | 1 | 2019-03-13T10:14:35.000Z | 2019-03-13T10:14:35.000Z | roles/openshift_health_checker/library/rpm_version.py | KoteikinyDrova/openshift-ansible | 3db2bb10c0ad5e7ed702bfccdec03562533e8539 | [
"Apache-2.0"
] | 1 | 2021-09-23T23:36:29.000Z | 2021-09-23T23:36:29.000Z | roles/openshift_health_checker/library/rpm_version.py | KoteikinyDrova/openshift-ansible | 3db2bb10c0ad5e7ed702bfccdec03562533e8539 | [
"Apache-2.0"
] | 4 | 2018-10-27T00:29:24.000Z | 2022-01-07T07:39:51.000Z | #!/usr/bin/python
"""
Ansible module for rpm-based systems determining existing package version information in a host.
"""
from ansible.module_utils.basic import AnsibleModule
IMPORT_EXCEPTION = None
try:
import rpm # pylint: disable=import-error
except ImportError as err:
IMPORT_EXCEPTION = err # in tox te... | 31.15625 | 116 | 0.621364 | 232 | 0.058175 | 0 | 0 | 0 | 0 | 0 | 0 | 990 | 0.248245 |
8ea41ac7ddbb096f8c509205102ac3523839b975 | 3,335 | py | Python | cameo/__init__.py | jlerman44/cameo | 6aa4b9db7ebcc3e52547821e64b13675cf73f73a | [
"Apache-2.0"
] | null | null | null | cameo/__init__.py | jlerman44/cameo | 6aa4b9db7ebcc3e52547821e64b13675cf73f73a | [
"Apache-2.0"
] | null | null | null | cameo/__init__.py | jlerman44/cameo | 6aa4b9db7ebcc3e52547821e64b13675cf73f73a | [
"Apache-2.0"
] | 1 | 2018-09-27T22:41:58.000Z | 2018-09-27T22:41:58.000Z | # Copyright 2014 Novo Nordisk Foundation Center for Biosustainability, DTU.
#
# 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 requi... | 31.761905 | 119 | 0.755022 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,138 | 0.641079 |
8ea5524aaaf6020d2fb120959b8bb005d31ffdc3 | 12,967 | py | Python | spider_proxy/app/managers/proxy_fetch.py | seniortesting/python-spider | 0b70817373e2e22267ddf3b80b9b7eb15931e41e | [
"MIT"
] | null | null | null | spider_proxy/app/managers/proxy_fetch.py | seniortesting/python-spider | 0b70817373e2e22267ddf3b80b9b7eb15931e41e | [
"MIT"
] | null | null | null | spider_proxy/app/managers/proxy_fetch.py | seniortesting/python-spider | 0b70817373e2e22267ddf3b80b9b7eb15931e41e | [
"MIT"
] | null | null | null | # -*- coding:utf-8 -*-
import logging
import re
from time import sleep
import requests
import urllib3
from app.utils.spider_utils import getHtmlTree, verifyProxyFormat
from app.utils.web_request import WebRequest
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
logging.basicConfig(level=logging.IN... | 36.94302 | 134 | 0.488162 | 11,463 | 0.850686 | 7,852 | 0.582709 | 7,996 | 0.593395 | 0 | 0 | 7,587 | 0.563043 |
8ea5e29ef8c1696d1f4448a1275564f4cc6083ea | 786 | py | Python | tools/leetcode.023.Merge k Sorted Lists/leetcode.023.Merge k Sorted Lists.submission5.py | tedye/leetcode | 975d7e3b8cb9b6be9e80e07febf4bcf6414acd46 | [
"MIT"
] | 4 | 2015-10-10T00:30:55.000Z | 2020-07-27T19:45:54.000Z | tools/leetcode.023.Merge k Sorted Lists/leetcode.023.Merge k Sorted Lists.submission5.py | tedye/leetcode | 975d7e3b8cb9b6be9e80e07febf4bcf6414acd46 | [
"MIT"
] | null | null | null | tools/leetcode.023.Merge k Sorted Lists/leetcode.023.Merge k Sorted Lists.submission5.py | tedye/leetcode | 975d7e3b8cb9b6be9e80e07febf4bcf6414acd46 | [
"MIT"
] | null | null | null | # Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution:
# @param {ListNode[]} lists
# @return {ListNode}
def mergeKLists(self, lists):
lists = [i for i in lists if i]
if not lists: return None
... | 786 | 786 | 0.479644 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 786 | 1 |
8ea66006c86aaaba9532a364fe87531b05105008 | 1,384 | py | Python | Mundo 3/File 105.py | PedroHenriqueSimoes/Exercicios-Python | 702a819d508dd7878b88fb676559d899237ac761 | [
"MIT"
] | 1 | 2020-04-30T21:32:01.000Z | 2020-04-30T21:32:01.000Z | Mundo 3/File 105.py | PedroHenriqueSimoes/Exercicios-Python | 702a819d508dd7878b88fb676559d899237ac761 | [
"MIT"
] | 1 | 2021-10-05T02:00:04.000Z | 2021-10-05T02:00:04.000Z | Mundo 3/File 105.py | PedroHenriqueSimoes/Exercicios-Python | 702a819d508dd7878b88fb676559d899237ac761 | [
"MIT"
] | null | null | null | def notas(*n, show=False):
"""
-> Função que lê varias notas e retorna um dicionario com dados
:param n: Lê varias notas (numero indefinido)
:param show: Mostra a situação do aluno (opc)
:return: Retorna um dicionario
"""
dados = dict()
dados['total'] = len(n)
dados['maior'] = max(n... | 28.244898 | 77 | 0.533237 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 586 | 0.41917 |
8ea6772e802a782c50f83515c19392b32fbb9402 | 779 | py | Python | Backend/ChatBot/question detection.py | paucutrina/RareHacks_Chatbot | c7ecfef693bf2f477d090629d6eecf7b0bf57872 | [
"MIT"
] | null | null | null | Backend/ChatBot/question detection.py | paucutrina/RareHacks_Chatbot | c7ecfef693bf2f477d090629d6eecf7b0bf57872 | [
"MIT"
] | null | null | null | Backend/ChatBot/question detection.py | paucutrina/RareHacks_Chatbot | c7ecfef693bf2f477d090629d6eecf7b0bf57872 | [
"MIT"
] | null | null | null | from nltk import sent_tokenize, word_tokenize, pos_tag, ne_chunk
sentence = 'Usually I go to the hospital when I am afraid. When I sould go there?'
sentences_splitted = sent_tokenize(sentence)
sentence_words_splitted = [word_tokenize(s) for s in sentences_splitted]
question = [ne_chunk(pos_tag(s)) for s in sentences_... | 51.933333 | 172 | 0.69448 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 266 | 0.341463 |
8ea86f5c1066313076da8b4f11d85883b0f7d98c | 16,079 | py | Python | tp4/src/back-end/translator.py | ha2398/compiladores1-tps | a70de7cbb6a76301258f1e0f88141a57c6a15d5e | [
"MIT"
] | null | null | null | tp4/src/back-end/translator.py | ha2398/compiladores1-tps | a70de7cbb6a76301258f1e0f88141a57c6a15d5e | [
"MIT"
] | null | null | null | tp4/src/back-end/translator.py | ha2398/compiladores1-tps | a70de7cbb6a76301258f1e0f88141a57c6a15d5e | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
'''
translator.py: 3 address code -> TAM translator.
@author: Hugo Araujo de Sousa [2013007463]
@email: hugosousa@dcc.ufmg.br
@DCC053 - Compiladores I - UFMG
'''
# TODO: Need to handle floating point literals.
# TAM does not provide arithmetic routines for floating point!?
import argparse as... | 26.57686 | 80 | 0.602525 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,424 | 0.275141 |
8eab3a16c60da45c7e9e2c9740482835876404d6 | 2,501 | py | Python | CaffeNet/caffenet_settings.py | MasazI/DeepLearning_TensorFlow | 6a0865850b32eb4af52bc41984e0cbaa2a19c48a | [
"MIT"
] | 17 | 2015-12-20T14:10:35.000Z | 2022-02-28T13:06:33.000Z | CaffeNet/caffenet_settings.py | MasazI/DeepLearning_TensorFlow | 6a0865850b32eb4af52bc41984e0cbaa2a19c48a | [
"MIT"
] | 1 | 2019-02-20T12:37:56.000Z | 2019-02-20T12:37:56.000Z | CaffeNet/caffenet_settings.py | MasazI/DeepLearning_TensorFlow | 6a0865850b32eb4af52bc41984e0cbaa2a19c48a | [
"MIT"
] | 8 | 2015-11-14T04:32:10.000Z | 2020-12-26T01:12:18.000Z | # encoding: utf-8
import tensorflow as tf
flags = tf.app.flags
FLAGS = flags.FLAGS
# train settings
flags.DEFINE_integer('batch_size', 40, 'the number of images in a batch.')
flags.DEFINE_integer('training_data_type', 1, '0: directly feed, 1: tfrecords')
#flags.DEFINE_string('train_tfrecords', 'data/train_caltech_ra... | 59.547619 | 115 | 0.773291 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,642 | 0.656537 |