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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
fb8816a7b683c68b5302c23202f9078fcba7c711 | 2,270 | py | Python | chialite/consensus/block_rewards.py | Storch-Network/chialite | 587fc53e8ef452e07c6f3f266f58962d065feb5c | [
"Apache-2.0"
] | 2 | 2021-06-29T14:05:41.000Z | 2021-07-15T19:28:26.000Z | chialite/consensus/block_rewards.py | Storch-Network/chialite | 587fc53e8ef452e07c6f3f266f58962d065feb5c | [
"Apache-2.0"
] | 31 | 2021-06-26T23:11:46.000Z | 2022-03-29T00:12:30.000Z | chialite/consensus/block_rewards.py | Storch-Network/chialite | 587fc53e8ef452e07c6f3f266f58962d065feb5c | [
"Apache-2.0"
] | null | null | null | from chialite.util.ints import uint32, uint64
# 1 Chialite coin = 1,000,000,000,000 = 1 trillion mojo.
_mojo_per_chialite = 1000000000000
_blocks_per_year = 1681920 # 32 * 6 * 24 * 365
def calculate_pool_reward(height: uint32) -> uint64:
"""
Returns the pool reward at a certain block height. The pool earns ... | 43.653846 | 116 | 0.670925 |
e6db2e36daf3e3ed90df3f904ba160d9b58978f0 | 322 | py | Python | pyramda/iterable/filter_test.py | sergiors/pyramda | 5bf200888809b1bc946e813e29460f204bccd13e | [
"MIT"
] | 124 | 2015-07-30T21:34:25.000Z | 2022-02-19T08:45:50.000Z | pyramda/iterable/filter_test.py | sergiors/pyramda | 5bf200888809b1bc946e813e29460f204bccd13e | [
"MIT"
] | 37 | 2015-08-31T23:02:20.000Z | 2022-02-04T04:45:28.000Z | pyramda/iterable/filter_test.py | sergiors/pyramda | 5bf200888809b1bc946e813e29460f204bccd13e | [
"MIT"
] | 20 | 2015-08-04T18:59:09.000Z | 2021-12-13T08:08:59.000Z | from .filter import filter
from pyramda.private.asserts import assert_iterables_equal
def positive(x):
return x > 0
def filter_nocurry_test():
assert_iterables_equal(filter(positive, [2, -1, 0, 3, -2]), [2, 3])
def filter_curry_test():
assert_iterables_equal(filter(positive)([2, -1, 0, 3, -2]), [2, 3]... | 21.466667 | 71 | 0.692547 |
0fc025c381959fcb2594cc73163ed65ce456b4f4 | 2,598 | py | Python | tests/test_slots.py | Mome/pdir2 | 57882ab902b089d86f862ccc9d655b8296b3078b | [
"MIT"
] | 1,394 | 2017-03-10T01:58:24.000Z | 2022-03-30T19:15:48.000Z | tests/test_slots.py | Mome/pdir2 | 57882ab902b089d86f862ccc9d655b8296b3078b | [
"MIT"
] | 61 | 2017-03-10T15:12:36.000Z | 2022-03-31T10:20:54.000Z | tests/test_slots.py | Mome/pdir2 | 57882ab902b089d86f862ccc9d655b8296b3078b | [
"MIT"
] | 67 | 2017-03-10T13:40:50.000Z | 2022-03-07T07:11:54.000Z | """
Test classes with __slots__
"""
from typing import List
import pdir
from pdir.attr_category import AttrCategory, category_match
BASE = 'base'
DERIVE = 'derive'
class BaseNoSlot:
pass
class BaseEmptySlot:
__slots__: List[str] = []
class BaseSlot:
__slots__: List[str] = [BASE]
class DeriveNoSl... | 24.055556 | 81 | 0.644727 |
3379a64d8b9484128adf3032e012ca1eef7e56b9 | 1,625 | py | Python | setup.py | agoragames/locust | 465100c903cc8558e408760f4e49792798dd7b16 | [
"MIT"
] | 1 | 2015-07-08T15:37:15.000Z | 2015-07-08T15:37:15.000Z | setup.py | agoragames/locust | 465100c903cc8558e408760f4e49792798dd7b16 | [
"MIT"
] | null | null | null | setup.py | agoragames/locust | 465100c903cc8558e408760f4e49792798dd7b16 | [
"MIT"
] | null | null | null | # encoding: utf-8
from setuptools import setup, find_packages, Command
import sys, os
version = '0.7.2.ag0'
class Unit2Discover(Command):
user_options = []
def initialize_options(self):
pass
def finalize_options(self):
pass
def run(self):
import sys, subprocess
bas... | 29.017857 | 109 | 0.633231 |
5c9ca776e05d2f5cdc00ae2f2f25d548f9aad8de | 1,298 | py | Python | src/dataset/preprocess.py | yulun-rayn/DGAPN | 6d87376fa933a0a5efff180ebe1fe5772a060987 | [
"MIT"
] | 5 | 2022-01-21T21:15:59.000Z | 2022-01-24T20:02:46.000Z | src/dataset/preprocess.py | yulun-rayn/DGAPN | 6d87376fa933a0a5efff180ebe1fe5772a060987 | [
"MIT"
] | null | null | null | src/dataset/preprocess.py | yulun-rayn/DGAPN | 6d87376fa933a0a5efff180ebe1fe5772a060987 | [
"MIT"
] | null | null | null | import csv
def main(dataset_path):
with open(dataset_path, newline='') as csvfile:
reader = csv.reader(csvfile)
nb_col = len(next(reader))
if nb_col == 2:
scores, smiles = read_2col(reader)
elif nb_col == 4:
scores, smiles = read_4col(reader)
return score... | 30.186047 | 127 | 0.546225 |
0925f7fec46862b9d3fe822c5d8a834cc951206d | 3,437 | py | Python | tests/test_schema.py | repo-helper/repo_helper_pycharm | 7ae51f4a015edc6dcc7cfc0640e417ba82e7eee9 | [
"MIT"
] | null | null | null | tests/test_schema.py | repo-helper/repo_helper_pycharm | 7ae51f4a015edc6dcc7cfc0640e417ba82e7eee9 | [
"MIT"
] | 24 | 2020-12-21T16:46:30.000Z | 2022-01-25T09:49:39.000Z | tests/test_schema.py | repo-helper/repo_helper_pycharm | 7ae51f4a015edc6dcc7cfc0640e417ba82e7eee9 | [
"MIT"
] | null | null | null | # stdlib
import os
import re
from abc import abstractmethod
# 3rd party
import pytest
from click.testing import CliRunner, Result # type: ignore
from coincidence import check_file_regression
from domdf_python_tools.paths import PathPlus, in_directory
from pytest_regressions.file_regression import FileRegressionFixtur... | 34.717172 | 104 | 0.764038 |
81b028ed5f5caad5f59c68b7f82c1a4661cf4d6f | 21,737 | py | Python | mmpose/models/backbones/vipnas_resnet.py | pallgeuer/mmpose | d3c17d5e6bdb9dbaca19f3bf53aa2802105355fd | [
"Apache-2.0"
] | 1 | 2022-02-13T12:27:40.000Z | 2022-02-13T12:27:40.000Z | mmpose/models/backbones/vipnas_resnet.py | pallgeuer/mmpose | d3c17d5e6bdb9dbaca19f3bf53aa2802105355fd | [
"Apache-2.0"
] | 1 | 2022-03-13T12:52:47.000Z | 2022-03-13T12:52:47.000Z | mmpose/models/backbones/vipnas_resnet.py | pallgeuer/mmpose | d3c17d5e6bdb9dbaca19f3bf53aa2802105355fd | [
"Apache-2.0"
] | null | null | null | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import torch.nn as nn
import torch.utils.checkpoint as cp
from mmcv.cnn import ConvModule, build_conv_layer, build_norm_layer
from mmcv.cnn.bricks import ContextBlock
from mmcv.utils.parrots_wrapper import _BatchNorm
from ..builder import BACKBONES
from .bas... | 36.842373 | 79 | 0.538483 |
c9575c00e220ab8c03fd2544c69483477217d825 | 8,886 | py | Python | contrib/management-packs/odpi-ambari-mpack/src/main/resources/stacks/ODPi/2.0/services/HIVE/package/alerts/alert_webhcat_server.py | likenamehaojie/Apache-Ambari-ZH | 5973025bd694cdbb4b49fb4c4e0d774782811ff6 | [
"Apache-2.0"
] | 1,664 | 2015-01-03T09:35:21.000Z | 2022-03-31T04:55:24.000Z | contrib/management-packs/odpi-ambari-mpack/src/main/resources/stacks/ODPi/2.0/services/HIVE/package/alerts/alert_webhcat_server.py | likenamehaojie/Apache-Ambari-ZH | 5973025bd694cdbb4b49fb4c4e0d774782811ff6 | [
"Apache-2.0"
] | 3,018 | 2015-02-19T20:16:10.000Z | 2021-11-13T20:47:48.000Z | contrib/management-packs/odpi-ambari-mpack/src/main/resources/stacks/ODPi/2.0/services/HIVE/package/alerts/alert_webhcat_server.py | likenamehaojie/Apache-Ambari-ZH | 5973025bd694cdbb4b49fb4c4e0d774782811ff6 | [
"Apache-2.0"
] | 1,673 | 2015-01-06T14:14:42.000Z | 2022-03-31T07:22:30.000Z | #!/usr/bin/env python
"""
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")... | 38.803493 | 128 | 0.770876 |
2aa77ecdc3eb52ae3dffd876310a7e5a5c3a837b | 69 | py | Python | src/eda/__init__.py | jonas-mika/ml-project | c052c33010033cd9fd596eb5ac4d270d1bf98ee3 | [
"MIT"
] | null | null | null | src/eda/__init__.py | jonas-mika/ml-project | c052c33010033cd9fd596eb5ac4d270d1bf98ee3 | [
"MIT"
] | null | null | null | src/eda/__init__.py | jonas-mika/ml-project | c052c33010033cd9fd596eb5ac4d270d1bf98ee3 | [
"MIT"
] | 1 | 2022-01-29T17:23:15.000Z | 2022-01-29T17:23:15.000Z | from ._feature_inspection import run_eda
__all__ = [
'run_eda'
] | 13.8 | 40 | 0.724638 |
10e04465a4a6f8d10f7ec2fbb91aa3c03053a83f | 3,890 | py | Python | Archive/Current_Software_Modules/R&D/RETIRED_StitchAPI/main.py | Jual6332/OTheRS_IP | 420cfde562249941f4a85f936d549d11edadc36f | [
"MIT"
] | null | null | null | Archive/Current_Software_Modules/R&D/RETIRED_StitchAPI/main.py | Jual6332/OTheRS_IP | 420cfde562249941f4a85f936d549d11edadc36f | [
"MIT"
] | 17 | 2018-11-13T04:13:26.000Z | 2019-04-29T21:00:26.000Z | Archive/Current_Software_Modules/R&D/RETIRED_StitchAPI/main.py | Jual6332/OTheRS_IP | 420cfde562249941f4a85f936d549d11edadc36f | [
"MIT"
] | 1 | 2018-10-29T18:14:45.000Z | 2018-10-29T18:14:45.000Z | #!/usr/bin/env python3
################################################################################
################################################################################
### "main.py" ##################################################################
######################################################... | 37.403846 | 85 | 0.560154 |
adbd1b6b1d983e326fe2071d4431cd8fe12897ac | 17,040 | py | Python | core/dbt/parser/models.py | xshadowlegendx/dbt-core | c690ecc1fd0f1239db9ddd26c4e9cd14ea508b77 | [
"Apache-2.0"
] | null | null | null | core/dbt/parser/models.py | xshadowlegendx/dbt-core | c690ecc1fd0f1239db9ddd26c4e9cd14ea508b77 | [
"Apache-2.0"
] | null | null | null | core/dbt/parser/models.py | xshadowlegendx/dbt-core | c690ecc1fd0f1239db9ddd26c4e9cd14ea508b77 | [
"Apache-2.0"
] | null | null | null | from copy import deepcopy
from dbt.context.context_config import ContextConfig
from dbt.contracts.graph.parsed import ParsedModelNode
import dbt.flags as flags
from dbt.logger import GLOBAL_LOGGER as logger
from dbt.node_types import NodeType
from dbt.parser.base import SimpleSQLParser
from dbt.parser.search import Fil... | 41.764706 | 99 | 0.640669 |
0d5dd289f31d63e5dc968a4c5df9e5bdfa427fd7 | 1,119 | py | Python | b_cfn_lambda_layer/dependency.py | Biomapas/B.CfnLambdaLayer | b2ddb2e233d626e4591235a0174b70fda9807063 | [
"Apache-2.0"
] | 1 | 2021-10-04T12:23:53.000Z | 2021-10-04T12:23:53.000Z | b_cfn_lambda_layer/dependency.py | Biomapas/B.CfnLambdaLayer | b2ddb2e233d626e4591235a0174b70fda9807063 | [
"Apache-2.0"
] | null | null | null | b_cfn_lambda_layer/dependency.py | Biomapas/B.CfnLambdaLayer | b2ddb2e233d626e4591235a0174b70fda9807063 | [
"Apache-2.0"
] | null | null | null | from typing import Optional
from b_cfn_lambda_layer.package_version import PackageVersion
class Dependency:
def __init__(self, name: str, version: Optional[PackageVersion] = None):
self.__name = name
self.__version = version or PackageVersion.latest()
def build_string(self) -> str:
"... | 33.909091 | 85 | 0.662198 |
d56f82baeaa668baa3a9e6a76a6f6926208ed2bb | 2,490 | py | Python | tutorials/workshop/lib/lfs.py | Conengmo/snorkel | 36868e8a84de19b94e1c4b8eceaa64969a61a46b | [
"Apache-2.0"
] | 30 | 2019-08-22T19:27:59.000Z | 2022-03-13T22:03:15.000Z | tutorials/workshop/lib/lfs.py | Conengmo/snorkel | 36868e8a84de19b94e1c4b8eceaa64969a61a46b | [
"Apache-2.0"
] | 2 | 2019-08-22T16:51:58.000Z | 2022-03-21T02:59:18.000Z | tutorials/workshop/lib/lfs.py | Conengmo/snorkel | 36868e8a84de19b94e1c4b8eceaa64969a61a46b | [
"Apache-2.0"
] | 31 | 2019-08-22T19:28:08.000Z | 2022-03-23T12:50:49.000Z | #
# PLACE YOUR LFs HERE
#
import re
from snorkel.lf_helpers import (
get_left_tokens, get_right_tokens, get_between_tokens,
get_text_between, get_tagged_text,
)
from lib.dbpedia import known_spouses
# Helper function to get last name
def last_name(s):
name_parts = s.split(' ')
return name_parts[-1] if... | 33.2 | 107 | 0.681526 |
bf06561f5fae36e6ce062f5919fd45afe17283cc | 440 | py | Python | setup.py | rbiswas4/basicio | 9e6698ea9519bdb5ff316bc1c811d694a50f9f4e | [
"MIT"
] | null | null | null | setup.py | rbiswas4/basicio | 9e6698ea9519bdb5ff316bc1c811d694a50f9f4e | [
"MIT"
] | 1 | 2015-10-21T16:40:33.000Z | 2015-10-21T16:40:33.000Z | setup.py | rbiswas4/basicio | 9e6698ea9519bdb5ff316bc1c811d694a50f9f4e | [
"MIT"
] | null | null | null | #from ez_setup import use_setuptools
#use_setuptools()
from setuptools import setup, find_packages
setup(# package information
name="io",
version="0.0.1dev",
description='utilities for io',
long_description=''' ''',
# What code to include as packages
packages=['basicio'],
# Wh... | 27.5 | 47 | 0.652273 |
c97460cd4adf16a253d923a1611dcf4916c47336 | 243 | py | Python | Aula09/chef024.py | AdryanPablo/Python | d469d394b41f44dbd753bf9a7f7eebaa81096562 | [
"MIT"
] | null | null | null | Aula09/chef024.py | AdryanPablo/Python | d469d394b41f44dbd753bf9a7f7eebaa81096562 | [
"MIT"
] | null | null | null | Aula09/chef024.py | AdryanPablo/Python | d469d394b41f44dbd753bf9a7f7eebaa81096562 | [
"MIT"
] | null | null | null | # Crie um programa que leia o nome de uma cidade e diga se ela começa ou não com o nome "Santo".
cidade = str(input('Digite o nome de uma cidade: ')).strip()
print(f'Essa cidade começa com "Santo"? {"Santo" in (cidade.title().split()[0])}')
| 40.5 | 96 | 0.683128 |
90e072e33a5f0f0fae1139ff5dedc42a6eda7103 | 1,363 | py | Python | Hackerrank/Algorithms/Graph Theory/Roads and libraries.py | udayan14/Competitive_Coding | 79e23fdeb909b4161a193d88697a4fe5f4fbbdce | [
"MIT"
] | null | null | null | Hackerrank/Algorithms/Graph Theory/Roads and libraries.py | udayan14/Competitive_Coding | 79e23fdeb909b4161a193d88697a4fe5f4fbbdce | [
"MIT"
] | null | null | null | Hackerrank/Algorithms/Graph Theory/Roads and libraries.py | udayan14/Competitive_Coding | 79e23fdeb909b4161a193d88697a4fe5f4fbbdce | [
"MIT"
] | null | null | null | #!/bin/python3
import queue
def roadsAndLibraries(n, c_lib, c_road, cities):
# Complete this function
if c_road >= c_lib:
return c_lib * n
else:
comp = 0
visited = [False]*(n+1)
for c in range(1,n+1):
# print(c)
if(not visited[c]):
comp... | 34.948718 | 88 | 0.448276 |
0d8fb2a4acb45d1c4fbae73d8202b17e0173fcb9 | 10,826 | py | Python | mpc_tracking.py | urosolia/SLIP | 07d091070b59df0c42ba0f0d277b97f0002ce6fe | [
"MIT"
] | 1 | 2021-03-04T01:10:08.000Z | 2021-03-04T01:10:08.000Z | mpc_tracking.py | urosolia/SLIP | 07d091070b59df0c42ba0f0d277b97f0002ce6fe | [
"MIT"
] | null | null | null | mpc_tracking.py | urosolia/SLIP | 07d091070b59df0c42ba0f0d277b97f0002ce6fe | [
"MIT"
] | 1 | 2022-02-22T20:12:24.000Z | 2022-02-22T20:12:24.000Z | from casadi import *
from numpy import *
import pdb
import itertools
import numpy as np
from cvxpy import *
import time
##### MPC ######
class MPC_tracking(object):
""" Model Predictive Controller (MPC)
Methods:
- solve: solves the FTOCP given the initial condition x0 and terminal contraints
- buildNonlinearProg... | 33.310769 | 258 | 0.592555 |
26495c561833a1a79ce44b54fb70773873b55c81 | 214 | py | Python | solutions/1820.py | nxexox/acm.timus | 9548d2a0b54fdd99bd60071f3be2fb7f897a7303 | [
"MIT"
] | null | null | null | solutions/1820.py | nxexox/acm.timus | 9548d2a0b54fdd99bd60071f3be2fb7f897a7303 | [
"MIT"
] | null | null | null | solutions/1820.py | nxexox/acm.timus | 9548d2a0b54fdd99bd60071f3be2fb7f897a7303 | [
"MIT"
] | null | null | null | #!/usr/bin/python
n, k = [int(i) for i in input().split()]
# TODO: Сама система не принимает на 16-м тесте
def function(n, k):
return round(float(n) * 2.0 / float(k)) if k < n else 2
print(function(n, k))
| 17.833333 | 59 | 0.616822 |
c307d841a736d2fdbab380e113b1e97ac70ae151 | 3,819 | py | Python | src/utils/tools.py | oulkaid/Sudoku-SAT-Solver | a26f6fad10a7f36d40fe88697e132248286fc562 | [
"MIT"
] | null | null | null | src/utils/tools.py | oulkaid/Sudoku-SAT-Solver | a26f6fad10a7f36d40fe88697e132248286fc562 | [
"MIT"
] | null | null | null | src/utils/tools.py | oulkaid/Sudoku-SAT-Solver | a26f6fad10a7f36d40fe88697e132248286fc562 | [
"MIT"
] | null | null | null | from math import sqrt
def input_parser(lines):
n = int(lines[0])
grid = []
for i in range(1, len(lines)):
item = 0
end_of_line = False
new_line = []
while not end_of_line:
if lines[i][item] == '\n':
end_of_line = True
elif lines[i][ite... | 27.673913 | 120 | 0.396701 |
676cba1ba2697d2ede73a09dfd7077a8397c87b4 | 41,861 | py | Python | ixnetwork_restpy/testplatform/sessions/ixnetwork/traffic/trafficitem/configelement/stack/isisLevel1LANHelloPDU_template.py | OpenIxia/ixnetwork_restpy | f628db450573a104f327cf3c737ca25586e067ae | [
"MIT"
] | 20 | 2019-05-07T01:59:14.000Z | 2022-02-11T05:24:47.000Z | ixnetwork_restpy/testplatform/sessions/ixnetwork/traffic/trafficitem/configelement/stack/isisLevel1LANHelloPDU_template.py | OpenIxia/ixnetwork_restpy | f628db450573a104f327cf3c737ca25586e067ae | [
"MIT"
] | 60 | 2019-04-03T18:59:35.000Z | 2022-02-22T12:05:05.000Z | ixnetwork_restpy/testplatform/sessions/ixnetwork/traffic/trafficitem/configelement/stack/isisLevel1LANHelloPDU_template.py | OpenIxia/ixnetwork_restpy | f628db450573a104f327cf3c737ca25586e067ae | [
"MIT"
] | 13 | 2019-05-20T10:48:31.000Z | 2021-10-06T07:45:44.000Z | from ixnetwork_restpy.base import Base
from ixnetwork_restpy.files import Files
class IsisLevel1LANHelloPDU(Base):
__slots__ = ()
_SDM_NAME = 'isisLevel1LANHelloPDU'
_SDM_ATT_MAP = {
'CommonHeaderIntradomainRoutingProtocolDiscriminator': 'isisLevel1LANHelloPDU.isisHeader.commonHeader.intradomainRo... | 44.485654 | 255 | 0.721626 |
b8dc9f0e66a94c4a79d6e8c91cffa44d98bcc8e9 | 423 | py | Python | apps/work_order/migrations/0002_auto_20190821_2331.py | joewen85/devops_study | 6bbfbac7e70f295ef6068393bd9cf7d418ab4417 | [
"Apache-2.0"
] | null | null | null | apps/work_order/migrations/0002_auto_20190821_2331.py | joewen85/devops_study | 6bbfbac7e70f295ef6068393bd9cf7d418ab4417 | [
"Apache-2.0"
] | null | null | null | apps/work_order/migrations/0002_auto_20190821_2331.py | joewen85/devops_study | 6bbfbac7e70f295ef6068393bd9cf7d418ab4417 | [
"Apache-2.0"
] | 1 | 2020-10-28T09:12:47.000Z | 2020-10-28T09:12:47.000Z | # Generated by Django 2.2.4 on 2019-08-21 15:31
import ckeditor.fields
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('work_order', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='workorder',
name='o... | 21.15 | 69 | 0.624113 |
fd4470931d850ff863ffd047d7c90a80e92004d8 | 1,781 | py | Python | run.py | hesamrasouli/CrawlerKing | 54c6a435cda61f3e43ba8ba9ae81bb1d6f096a84 | [
"Apache-2.0"
] | null | null | null | run.py | hesamrasouli/CrawlerKing | 54c6a435cda61f3e43ba8ba9ae81bb1d6f096a84 | [
"Apache-2.0"
] | null | null | null | run.py | hesamrasouli/CrawlerKing | 54c6a435cda61f3e43ba8ba9ae81bb1d6f096a84 | [
"Apache-2.0"
] | null | null | null | from spider_runner_base import SpiderRunnerBase
# ! Do not delete these !
import sys
from utils.helpers.arg_helper import ArgHelper
"""
This file is main entry point and is responsible of running spider(s).
This is actually CrawlerKing runner that decides which spider(s) must be run with what parameters
based on user-p... | 37.104167 | 114 | 0.747333 |
c16e63e74b85f4370d487607f70e330fe7d31fe7 | 30,514 | py | Python | My_AutoML/_hpo/_ML.py | PanyiDong/My_AutoML | 510727bd797e4f6fa213939c62d1d7601952e491 | [
"MIT"
] | 2 | 2022-03-03T16:24:08.000Z | 2022-03-03T17:17:28.000Z | My_AutoML/_hpo/_ML.py | PanyiDong/My_AutoML | 510727bd797e4f6fa213939c62d1d7601952e491 | [
"MIT"
] | null | null | null | My_AutoML/_hpo/_ML.py | PanyiDong/My_AutoML | 510727bd797e4f6fa213939c62d1d7601952e491 | [
"MIT"
] | null | null | null | """
File: _ML.py
Author: Panyi Dong
GitHub: https://github.com/PanyiDong/
Mathematics Department, University of Illinois at Urbana-Champaign (UIUC)
Project: My_AutoML
Latest Version: 0.2.0
Relative Path: /My_AutoML/_hpo/_ML.py
File Created: Tuesday, 5th April 2022 10:50:27 pm
Author: Panyi Dong (panyid2@illinois.edu)
... | 40.202899 | 120 | 0.669037 |
8ee04a61f03dd472b36c75a4b44acee8402faf41 | 6,460 | py | Python | others/top500/pinyin/__init__.py | galletitaoreo/PythonPentest | abd46cc251abfc3fba02d7f03ddd049803dc6047 | [
"MIT"
] | 5 | 2019-08-07T08:59:53.000Z | 2021-05-14T19:35:57.000Z | others/top500/pinyin/__init__.py | Harusenpai/PythonPentest | abd46cc251abfc3fba02d7f03ddd049803dc6047 | [
"MIT"
] | null | null | null | others/top500/pinyin/__init__.py | Harusenpai/PythonPentest | abd46cc251abfc3fba02d7f03ddd049803dc6047 | [
"MIT"
] | 2 | 2021-03-31T21:20:19.000Z | 2021-08-28T04:21:12.000Z | # -*- coding: utf-8 -*-
import os
import re
_punctuation_mapper = dict(zip(
u'？！。，、：《》“”‘’ ',
u'?!.,,:<>""\'\' '))
def _load_character_mapper():
mapper = dict()
filename = os.path.dirname(__file__)
filename += '/chars.txt'
f = open(filename)
try:
for line in f:
if re.m... | 26.916667 | 75 | 0.464551 |
15765ef8e39f40d0550763b86f868ae444159adb | 2,997 | py | Python | predict-images.py | bryner18/machine-learning-image-rec | dcd6f5ad9e1ec435b609680470748b084d4c8e41 | [
"MIT"
] | null | null | null | predict-images.py | bryner18/machine-learning-image-rec | dcd6f5ad9e1ec435b609680470748b084d4c8e41 | [
"MIT"
] | null | null | null | predict-images.py | bryner18/machine-learning-image-rec | dcd6f5ad9e1ec435b609680470748b084d4c8e41 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import sys
import time
import queue
import threading
import numpy as np
import tensorflow as tf
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
tf.logging.set_verbosity(tf.logging.ERROR)
def load_labels(label_file):
label = []
proto_as_ascii_lines = tf.gfile.GFile(label_file).readlines()... | 32.934066 | 109 | 0.694361 |
dcdb5614cb7f3ac73b319cb7d65590d7edcff32f | 32,427 | py | Python | rainforest/database/retrieve_radar_data.py | gugerlir/rainforest | 85a9d51acf2036245f0cebf7232e735c2cf2dfc4 | [
"BSD-3-Clause"
] | 3 | 2020-03-03T19:58:02.000Z | 2021-11-02T08:22:22.000Z | rainforest/database/retrieve_radar_data.py | gugerlir/rainforest | 85a9d51acf2036245f0cebf7232e735c2cf2dfc4 | [
"BSD-3-Clause"
] | null | null | null | rainforest/database/retrieve_radar_data.py | gugerlir/rainforest | 85a9d51acf2036245f0cebf7232e735c2cf2dfc4 | [
"BSD-3-Clause"
] | 5 | 2020-03-25T15:25:25.000Z | 2021-06-11T22:15:58.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Main routine for retrieving radar data
This is meant to be run as a command line command from a slurm script
i.e. ./retrieve_radar_data -t <task_file_name> -c <config_file_name>
- o <output_folder>
IMPORTANT: this function is called by the main routine in database.py... | 42.949669 | 114 | 0.4759 |
28c7404485aca8f6cb316e8f946f730ae18c8a32 | 2,910 | py | Python | tests/snuba/eventstream/test_eventstream.py | uandco/sentry | 5b8d45cb71c6617dac8e64265848623fbfce9c99 | [
"BSD-3-Clause"
] | 2 | 2019-03-04T12:45:54.000Z | 2019-03-04T12:45:55.000Z | tests/snuba/eventstream/test_eventstream.py | uandco/sentry | 5b8d45cb71c6617dac8e64265848623fbfce9c99 | [
"BSD-3-Clause"
] | 196 | 2019-06-10T08:34:10.000Z | 2022-02-22T01:26:13.000Z | tests/snuba/eventstream/test_eventstream.py | uandco/sentry | 5b8d45cb71c6617dac8e64265848623fbfce9c99 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import absolute_import
from datetime import datetime, timedelta
import six
import time
import logging
from mock import patch, Mock
from sentry.event_manager import EventManager
from sentry.eventstream.kafka import KafkaEventStream
from sentry.eventstream.snuba import SnubaEventStream
from sentry.testu... | 34.642857 | 94 | 0.644674 |
e73fad439f0fb0b926d12c3dfd6f25632d777d30 | 9,830 | py | Python | test/functional/p2p_blockfilters.py | apokalyzr/bitcoin | 5b4b8f76f3ae11064d4aa3ac157558e364751fd2 | [
"MIT"
] | 65,371 | 2015-01-01T06:52:02.000Z | 2022-03-31T23:29:23.000Z | test/functional/p2p_blockfilters.py | apokalyzr/bitcoin | 5b4b8f76f3ae11064d4aa3ac157558e364751fd2 | [
"MIT"
] | 18,259 | 2015-01-01T03:22:57.000Z | 2022-03-31T23:18:25.000Z | test/functional/p2p_blockfilters.py | apokalyzr/bitcoin | 5b4b8f76f3ae11064d4aa3ac157558e364751fd2 | [
"MIT"
] | 28,827 | 2015-01-01T00:25:45.000Z | 2022-03-31T23:48:15.000Z | #!/usr/bin/env python3
# Copyright (c) 2019-2021 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Tests NODE_COMPACT_FILTERS (BIP 157/158).
Tests that a node configured with -blockfilterindex and -pee... | 38.100775 | 99 | 0.643133 |
700711c55e04e147ef552d2de2c20b30f445e707 | 30,527 | py | Python | var/spack/repos/builtin/packages/openmpi/package.py | greschd/spack | ce8cf5d9b037079ae3fd77fcaf84cf2eafbc9fbd | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 1 | 2020-05-24T15:23:12.000Z | 2020-05-24T15:23:12.000Z | var/spack/repos/builtin/packages/openmpi/package.py | bbbbpage/spack | bc145b2b3f87da8276e4c2e0665e9830de3d0322 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | null | null | null | var/spack/repos/builtin/packages/openmpi/package.py | bbbbpage/spack | bc145b2b3f87da8276e4c2e0665e9830de3d0322 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | null | null | null | # Copyright 2013-2020 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
import os
import sys
import llnl.util.tty as tty
def _verbs_dir():
"""Try to find the directory where the OpenFabri... | 50.878333 | 132 | 0.664723 |
51f6d08709e679824f88d724557ae6327740cddd | 171 | py | Python | pacote-download/PythonTeste/desafio060.py | Mariana02Santos/Python | a7bf3489b58d691578f888719c1ad6227ad39d74 | [
"MIT"
] | null | null | null | pacote-download/PythonTeste/desafio060.py | Mariana02Santos/Python | a7bf3489b58d691578f888719c1ad6227ad39d74 | [
"MIT"
] | null | null | null | pacote-download/PythonTeste/desafio060.py | Mariana02Santos/Python | a7bf3489b58d691578f888719c1ad6227ad39d74 | [
"MIT"
] | null | null | null | n = int(input('Digite um valor inteiro e eu calcularei o fatorial desse número: '))
x = n
m = n
while n > 1:
m = m * (n-1)
n = n - 1
print('{}! = {}'.format(x,m))
| 21.375 | 83 | 0.54386 |
d0c743261507903f811f01c5d50da6a2c14fecff | 278 | py | Python | opac/models/transactions/__init__.py | rimphyd/Django-OPAC | d86f2e28fee7f2ec551aeeb98ec67caefc06a3fb | [
"MIT"
] | 1 | 2020-11-26T05:25:46.000Z | 2020-11-26T05:25:46.000Z | opac/models/transactions/__init__.py | rimphyd/Django-OPAC | d86f2e28fee7f2ec551aeeb98ec67caefc06a3fb | [
"MIT"
] | null | null | null | opac/models/transactions/__init__.py | rimphyd/Django-OPAC | d86f2e28fee7f2ec551aeeb98ec67caefc06a3fb | [
"MIT"
] | null | null | null | from opac.models.transactions.holding import Holding # noqa: F401
from opac.models.transactions.lending import Lending # noqa: F401
from opac.models.transactions.renewing import Renewing # noqa: F401
from opac.models.transactions.reservation import Reservation # noqa: F401
| 55.6 | 74 | 0.81295 |
5582ebc5bb602cc9a5110b4266fb004c0dff70fd | 1,030 | py | Python | workspaces/migrations/0003_auto_20200427_0851.py | ralphleyga/sleeknotes | b92c8dd12021eb0bfddcdf5dc046b8173930b68b | [
"MIT"
] | null | null | null | workspaces/migrations/0003_auto_20200427_0851.py | ralphleyga/sleeknotes | b92c8dd12021eb0bfddcdf5dc046b8173930b68b | [
"MIT"
] | 4 | 2021-03-19T02:32:55.000Z | 2021-06-10T19:03:45.000Z | workspaces/migrations/0003_auto_20200427_0851.py | ralphleyga/sleeknotes | b92c8dd12021eb0bfddcdf5dc046b8173930b68b | [
"MIT"
] | null | null | null | # Generated by Django 3.0.5 on 2020-04-27 08:51
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('workspaces', '0002_works... | 34.333333 | 144 | 0.643689 |
fc2435f286d44770818ebf13c3f8ebae06ec3817 | 2,438 | py | Python | tracker/dmlc_tracker/ssh.py | rasomuro/rabit | a19a15cfaabbc43aa886abcfce08e4b73b917354 | [
"Apache-2.0"
] | 1 | 2020-07-31T15:32:43.000Z | 2020-07-31T15:32:43.000Z | tracker/dmlc_tracker/ssh.py | rasomuro/rabit | a19a15cfaabbc43aa886abcfce08e4b73b917354 | [
"Apache-2.0"
] | null | null | null | tracker/dmlc_tracker/ssh.py | rasomuro/rabit | a19a15cfaabbc43aa886abcfce08e4b73b917354 | [
"Apache-2.0"
] | 1 | 2020-07-31T15:32:44.000Z | 2020-07-31T15:32:44.000Z | #!/usr/bin/env python
"""
DMLC submission script by ssh
One need to make sure all slaves machines are ssh-able.
"""
from __future__ import absolute_import
import os, subprocess, logging
from threading import Thread
from . import tracker
def sync_dir(local_dir, slave_node, slave_dir):
"""
sync the working dir... | 31.662338 | 94 | 0.578343 |
7a2ed416f9a18e3b193a4ddfce592da821af0aab | 491 | py | Python | ABC_C/ABC088_C.py | ryosuke0825/atcoder_python | 185cdbe7db44ecca1aaf357858d16d31ce515ddb | [
"MIT"
] | null | null | null | ABC_C/ABC088_C.py | ryosuke0825/atcoder_python | 185cdbe7db44ecca1aaf357858d16d31ce515ddb | [
"MIT"
] | null | null | null | ABC_C/ABC088_C.py | ryosuke0825/atcoder_python | 185cdbe7db44ecca1aaf357858d16d31ce515ddb | [
"MIT"
] | null | null | null | C = []
for _ in range(3):
c1, c2, c3 = map(int, input().split())
tmp = [c1, c2, c3]
C.append(tmp)
if not(C[0][0]-C[0][1] == C[1][0]-C[1][1] == C[2][0]-C[2][1]):
print('No')
exit(0)
if not(C[0][1]-C[0][2] == C[1][1]-C[1][2] == C[2][1]-C[2][2]):
print('No')
exit(0)
if not(C[0][0]-C[1][0] ==... | 21.347826 | 62 | 0.411405 |
d77ea06c1f9e89252d5f699a11cf94fdcbd58591 | 24,586 | py | Python | scripts_for_improve_Elevation/smote.py | bm2-lab/CRISPR-off-target-data-imbalance | 344dc93da988057c877d686a744afe740c416fd4 | [
"MIT"
] | 2 | 2018-12-26T06:54:14.000Z | 2018-12-26T06:54:20.000Z | scripts_for_improve_Elevation/smote.py | bm2-lab/CRISPR-off-target-data-imbalance | 344dc93da988057c877d686a744afe740c416fd4 | [
"MIT"
] | null | null | null | scripts_for_improve_Elevation/smote.py | bm2-lab/CRISPR-off-target-data-imbalance | 344dc93da988057c877d686a744afe740c416fd4 | [
"MIT"
] | 1 | 2021-03-12T03:40:01.000Z | 2021-03-12T03:40:01.000Z | import elevation.prediction_pipeline as pp
import elevation
import random
random.seed(233)
from sklearn.neighbors import NearestNeighbors
import numpy as np
import elevation
import pandas
import azimuth
import joblib
import logging
from joblib import Memory
from elevation.model_comparison import *
import... | 44.299099 | 157 | 0.537338 |
866ab2f4841637b7d9dc5234f8c8f0a13969535c | 634 | py | Python | contrib/fate_script/utils/conf_variable.py | chenj133/FATE | 7065fc73ab83f83e699efec69ff8efb499159ef4 | [
"Apache-2.0"
] | 32 | 2020-06-12T08:39:58.000Z | 2022-03-20T06:57:08.000Z | contrib/fate_script/utils/conf_variable.py | ErikSun2020/FATE | bdda535c7d8a974fc2c43102837964b7da199730 | [
"Apache-2.0"
] | 14 | 2020-01-28T23:02:45.000Z | 2022-02-10T00:22:08.000Z | contrib/fate_script/utils/conf_variable.py | ErikSun2020/FATE | bdda535c7d8a974fc2c43102837964b7da199730 | [
"Apache-2.0"
] | 16 | 2020-06-12T06:51:46.000Z | 2022-03-29T10:23:42.000Z | from arch.api.utils import file_utils
class ConfVar:
def __init__(self):
self.iter_num = 2
self.batch_num = 1
self.learning_rate = 0.15
self.eps = 1e-4
def init_conf(self, role):
conf_path = file_utils.load_json_conf('contrib/fate_script/conf/' + str(role) + '_runtime_... | 39.625 | 109 | 0.670347 |
f4b2404cc3d18b6d0186244a3dff8bb08426023b | 1,693 | py | Python | src/signalflow_algorithms/algorithms/loop_group.py | naaeef/signalflowgrapher | 0ac3b4a8f11830e5cd7665264ab4e723b5ddaad9 | [
"Artistic-2.0"
] | 17 | 2020-09-15T11:25:32.000Z | 2022-02-02T18:20:45.000Z | src/signalflow_algorithms/algorithms/loop_group.py | hzhikai97/signalflowgrapher | 928a1c072d22bc606d03197ca3c326dd8e0ae89e | [
"Artistic-2.0"
] | 29 | 2020-09-16T16:23:28.000Z | 2021-05-08T17:29:34.000Z | src/signalflow_algorithms/algorithms/loop_group.py | hzhikai97/signalflowgrapher | 928a1c072d22bc606d03197ca3c326dd8e0ae89e | [
"Artistic-2.0"
] | 6 | 2020-09-21T06:32:19.000Z | 2022-03-05T17:33:14.000Z | from typing import List
from signalflow_algorithms.algorithms.graph import Branch, Node
class LoopGroup(object):
def __init__(self, loop_count=0, loops=list(), nodes=list()):
self.loop_count = loop_count
self.loops: List[List[Branch]] = loops
self.nodes: List[Node] = nodes
def append_... | 31.943396 | 72 | 0.635558 |
1be3850f89ec8a01613339972c2abc63f2ad2cfe | 5,781 | py | Python | dh_utils/tei/refsdecl_generator.py | andredelft/dh-utils | 6b4582de96de2e4a32e7b54ed850e03b888d353e | [
"MIT"
] | 1 | 2020-12-25T21:04:10.000Z | 2020-12-25T21:04:10.000Z | dh_utils/tei/refsdecl_generator.py | andredelft/dh-utils | 6b4582de96de2e4a32e7b54ed850e03b888d353e | [
"MIT"
] | null | null | null | dh_utils/tei/refsdecl_generator.py | andredelft/dh-utils | 6b4582de96de2e4a32e7b54ed850e03b888d353e | [
"MIT"
] | null | null | null | import logging
import os
from contextlib import contextmanager
from copy import copy
from dataclasses import dataclass
from itertools import chain
from pathlib import Path
import argparse
from lxml import etree
from anytree import Node, LevelOrderGroupIter, RenderTree
from lxml.etree import Element, dump, ParseError
f... | 26.640553 | 87 | 0.64712 |
755058473ee8eb18185698c43462f2b34cdddab1 | 1,771 | py | Python | amgut/handlers/download.py | zoechallacombe/american-gut-web | 800f0045b98764b4ecfe5f442a03ca8938769eb5 | [
"BSD-3-Clause"
] | 5 | 2015-02-10T18:01:12.000Z | 2021-01-15T16:19:00.000Z | amgut/handlers/download.py | zoechallacombe/american-gut-web | 800f0045b98764b4ecfe5f442a03ca8938769eb5 | [
"BSD-3-Clause"
] | 346 | 2015-01-03T00:12:17.000Z | 2019-11-20T00:51:16.000Z | amgut/handlers/download.py | zoechallacombe/american-gut-web | 800f0045b98764b4ecfe5f442a03ca8938769eb5 | [
"BSD-3-Clause"
] | 16 | 2015-11-10T21:53:52.000Z | 2019-10-21T18:00:47.000Z | from tornado.web import authenticated, HTTPError
from os.path import join, exists
from .base_handlers import BaseHandler
from amgut import AMGUT_CONFIG
from amgut.connections import ag_data
# {filetype from get: (local path, file suffix)}
FILETYPES = {'taxa': ('taxa-summaries', '.txt'),
'result-pdf': (... | 34.057692 | 71 | 0.648786 |
ce2d0782414a09cfbc3fdd46b68689e9164827a6 | 5,250 | py | Python | desktop/core/ext-py/cryptography-2.1.4/src/_cffi_src/openssl/asn1.py | kokosing/hue | 2307f5379a35aae9be871e836432e6f45138b3d9 | [
"Apache-2.0"
] | 3 | 2018-01-29T14:16:02.000Z | 2019-02-05T21:33:05.000Z | desktop/core/ext-py/cryptography-2.1.4/src/_cffi_src/openssl/asn1.py | zks888/hue | 93a8c370713e70b216c428caa2f75185ef809deb | [
"Apache-2.0"
] | 4 | 2021-03-11T04:02:00.000Z | 2022-03-27T08:31:56.000Z | desktop/core/ext-py/cryptography-2.1.4/src/_cffi_src/openssl/asn1.py | zks888/hue | 93a8c370713e70b216c428caa2f75185ef809deb | [
"Apache-2.0"
] | 2 | 2019-12-05T17:24:36.000Z | 2021-11-22T21:21:32.000Z | # This file is dual licensed under the terms of the Apache License, Version
# 2.0, and the BSD License. See the LICENSE file in the root of this repository
# for complete details.
from __future__ import absolute_import, division, print_function
INCLUDES = """
#include <openssl/asn1.h>
"""
TYPES = """
typedef int... ... | 33.018868 | 79 | 0.770857 |
c40822fcb6a4e725ec10f2777a19b82fbc2752a8 | 22,690 | py | Python | cube4.py | Horia73/MultiCuberX | 6087e2732c1d28c1d2244441ebb687b907ce86ac | [
"MIT"
] | null | null | null | cube4.py | Horia73/MultiCuberX | 6087e2732c1d28c1d2244441ebb687b907ce86ac | [
"MIT"
] | null | null | null | cube4.py | Horia73/MultiCuberX | 6087e2732c1d28c1d2244441ebb687b907ce86ac | [
"MIT"
] | null | null | null | from subprocess import check_output
from time import sleep
import logging
import imutils
import serial
import time
import cv2
global Down, Medium1, Medium2, Up, FlUp, FlDown, coord, l, start, i
start = True
i = 0
l = []
coord = []
log = logging.getLogger(__name__)
Down = True
Medium1 = False
medium = False
Medium2 ... | 21.754554 | 135 | 0.385148 |
162053c27733768806f8dc45354942f7a5c0fba8 | 1,031 | py | Python | SWIM-Executables/Windows/pyinstaller-2.0 for windows/buildtests/libraries/test_pyodbc.py | alexsigaras/SWIM | 1a35df8acb26bdcb307a1b8f60e9feba68ed1715 | [
"MIT"
] | 47 | 2020-03-08T08:43:28.000Z | 2022-03-18T18:51:55.000Z | SWIM-Executables/Windows/pyinstaller-2.0 for windows/buildtests/libraries/test_pyodbc.py | alexsigaras/SWIM | 1a35df8acb26bdcb307a1b8f60e9feba68ed1715 | [
"MIT"
] | null | null | null | SWIM-Executables/Windows/pyinstaller-2.0 for windows/buildtests/libraries/test_pyodbc.py | alexsigaras/SWIM | 1a35df8acb26bdcb307a1b8f60e9feba68ed1715 | [
"MIT"
] | 16 | 2020-03-08T08:43:30.000Z | 2022-01-10T22:05:57.000Z | #
# Copyright (C) 2012, Martin Zibricky
#
# 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 distribute... | 39.653846 | 79 | 0.774976 |
eebfc21f48d2bfe9b21efa4264c756a160a51112 | 486 | py | Python | base/migrations/0003_auto_20211207_2325.py | SergioVzqz/Devmorize | e4e5ddaf6b8d0f66873e345e986661daae504cf7 | [
"MIT"
] | null | null | null | base/migrations/0003_auto_20211207_2325.py | SergioVzqz/Devmorize | e4e5ddaf6b8d0f66873e345e986661daae504cf7 | [
"MIT"
] | null | null | null | base/migrations/0003_auto_20211207_2325.py | SergioVzqz/Devmorize | e4e5ddaf6b8d0f66873e345e986661daae504cf7 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.8 on 2021-12-07 23:25
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('base', '0002_alter_task_options'),
]
operations = [
migrations.AlterModelOptions(
name='task',
options={'ordering': ['comple... | 21.130435 | 48 | 0.557613 |
cbe0cfbd0de7186da4d1d64546c5f27e7c608d0b | 736 | py | Python | oops_fhir/r4/value_set/detected_issue_mitigation_action.py | Mikuana/oops_fhir | 77963315d123756b7d21ae881f433778096a1d25 | [
"MIT"
] | null | null | null | oops_fhir/r4/value_set/detected_issue_mitigation_action.py | Mikuana/oops_fhir | 77963315d123756b7d21ae881f433778096a1d25 | [
"MIT"
] | null | null | null | oops_fhir/r4/value_set/detected_issue_mitigation_action.py | Mikuana/oops_fhir | 77963315d123756b7d21ae881f433778096a1d25 | [
"MIT"
] | null | null | null | from pathlib import Path
from fhir.resources.valueset import ValueSet as _ValueSet
from oops_fhir.utils import ValueSet
from oops_fhir.r4.code_system.v3_act_code import v3ActCode
__all__ = ["DetectedIssueMitigationAction"]
_resource = _ValueSet.parse_file(Path(__file__).with_suffix(".json"))
class DetectedIssu... | 23.741935 | 76 | 0.764946 |
0abe0200fd3367a6edbbca2a09b6ec3245e0fab0 | 1,973 | py | Python | python_files/import_and_normalize.py | AleksCipri/DeepMergeDomainAdaptation | 2ffb6ce6ebdaae60a8cdc23c5a138dad3c47b4c8 | [
"BSD-2-Clause"
] | 6 | 2020-06-15T16:22:07.000Z | 2021-12-06T16:57:56.000Z | python_files/import_and_normalize.py | AleksCipri/DeepMergeDomainAdaptation | 2ffb6ce6ebdaae60a8cdc23c5a138dad3c47b4c8 | [
"BSD-2-Clause"
] | 17 | 2020-06-12T21:44:29.000Z | 2022-02-10T03:36:02.000Z | python_files/import_and_normalize.py | AleksCipri/DeepMergeDomainAdaptation | 2ffb6ce6ebdaae60a8cdc23c5a138dad3c47b4c8 | [
"BSD-2-Clause"
] | 4 | 2020-06-23T18:32:34.000Z | 2021-03-03T15:50:49.000Z | #Importing needed packages
import torch
import numpy as np
from torch.utils.data import Dataset, TensorDataset, DataLoader
import torchvision.transforms as transform
import matplotlib.pyplot as plt
def array_to_tensor(name):
data_list = list(np.load(str(name)))
return(torch.Tensor(data_list))
def normalization(t)... | 32.883333 | 89 | 0.687785 |
58876ceeae5c564b6b8aded4c396e99e0808d225 | 426 | py | Python | python_trick/permutation_lib_largest_no.py | sandeepjindal/algos | e649c82bfb6b986c8462b09d28e07c2069e48792 | [
"MIT"
] | 1 | 2019-09-10T17:45:58.000Z | 2019-09-10T17:45:58.000Z | python_trick/permutation_lib_largest_no.py | sandeepjindal/algos | e649c82bfb6b986c8462b09d28e07c2069e48792 | [
"MIT"
] | null | null | null | python_trick/permutation_lib_largest_no.py | sandeepjindal/algos | e649c82bfb6b986c8462b09d28e07c2069e48792 | [
"MIT"
] | null | null | null | # Python3 implementation this is to use itertools.
# permutations as coded below:
from itertools import permutations
def largest(l):
lst = []
for i in permutations(l, len(l)):
# provides all permutations of the list values,
# store them in list to find max
lst.append("".join(map(str,i)))
return max(l... | 25.058824 | 54 | 0.699531 |
68a03bb405a668c4b5ac5bead02c1e7f4aa7e571 | 2,951 | py | Python | python/examples/example5B.py | JacekPierzchlewski/cosniwa | d7b86dd452ab3df06f42ac205c2d1bcfbae2f288 | [
"BSD-2-Clause"
] | 2 | 2017-03-18T12:54:13.000Z | 2017-05-02T09:51:17.000Z | python/examples/example5B.py | JacekPierzchlewski/cosniwa | d7b86dd452ab3df06f42ac205c2d1bcfbae2f288 | [
"BSD-2-Clause"
] | null | null | null | python/examples/example5B.py | JacekPierzchlewski/cosniwa | d7b86dd452ab3df06f42ac205c2d1bcfbae2f288 | [
"BSD-2-Clause"
] | null | null | null | #
# example5B.py [version 1.0]
# CoSniWa: COde SNIppet stopWAtch [Python port] - example 5B
#
# Example5A: Using Cosniwa with classes (versionB)
#
# read more on: www.speedupcode.com
#
# (c) Jacek Pierzchlewski, 2017 jacek@pierzchlewski.com
# license: BSD-2-Clause.
#
try:
import cCosniwa as csw
except ImportErro... | 23.798387 | 72 | 0.596747 |
2141502c58faffe459b58c153fba8d8d2419825b | 1,491 | py | Python | Scapy Gui/Backend_Process.py | Ash-Shaun/PacketCrafter | f30d1ac664fdde1edd001e53cb8d33ac4207d6b7 | [
"MIT"
] | null | null | null | Scapy Gui/Backend_Process.py | Ash-Shaun/PacketCrafter | f30d1ac664fdde1edd001e53cb8d33ac4207d6b7 | [
"MIT"
] | null | null | null | Scapy Gui/Backend_Process.py | Ash-Shaun/PacketCrafter | f30d1ac664fdde1edd001e53cb8d33ac4207d6b7 | [
"MIT"
] | null | null | null | import netifaces
from scapy.all import *
from temp import text
IP_addr = ['172.18.0.1', '172.19.0.1', '172.17.0.1', '192.168.38.138', '127.0.0.1']
MAC = ['00:0c:29:79:14:67', '00:00:00:00:00:00', '02:42:2b:9e:1a:6d', '02:42:11:16:25:ea', 'ff:ff:ff:ff:ff:ff']
def getinterfaces():
iface = netifaces.interfaces()
... | 39.236842 | 180 | 0.599598 |
633e9e9dbafc775d697aa58bbe66d3cdf0942301 | 853 | py | Python | Python/11.py | GeneralLi95/leetcode | f42392f2283e19ec76273d81b2912944f9039568 | [
"MIT"
] | null | null | null | Python/11.py | GeneralLi95/leetcode | f42392f2283e19ec76273d81b2912944f9039568 | [
"MIT"
] | null | null | null | Python/11.py | GeneralLi95/leetcode | f42392f2283e19ec76273d81b2912944f9039568 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# @Date : 2022/2/4
# @Filename : 11.py 盛最多水的容器
# @Tag : 贪心，双指针，数组
# @Autor : LI YAO
# @Difficulty : Medium
from heapq import *
from typing import List, Optional
from collections import defaultdict, deque, Counter
from itertools import product,combinations,permutations,accu... | 21.871795 | 66 | 0.592028 |
cceac61f392a8c5fe59df2dc784746d80afdb17a | 47,876 | py | Python | pandas/tseries/period.py | vemel/pandas | 1508491df35039ba2ca8b5c8ceecff28464c3bfe | [
"PSF-2.0",
"Apache-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | 1 | 2021-02-16T10:01:48.000Z | 2021-02-16T10:01:48.000Z | pandas/tseries/period.py | vemel/pandas | 1508491df35039ba2ca8b5c8ceecff28464c3bfe | [
"PSF-2.0",
"Apache-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | pandas/tseries/period.py | vemel/pandas | 1508491df35039ba2ca8b5c8ceecff28464c3bfe | [
"PSF-2.0",
"Apache-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | # pylint: disable=E1101,E1103,W0232
import operator
from datetime import datetime, date
import numpy as np
from pandas.core.base import PandasObject
from pandas.tseries.frequencies import (get_freq_code as _gfc,
_month_numbers, FreqGroup)
from pandas.tseries.index import Dateti... | 35.781764 | 97 | 0.520741 |
e4efaaf075ac4b46c7729189645ae2dfba5ce561 | 3,252 | py | Python | apps/users/tests/test_views.py | sgazda94/dj_schulx | c6d2086201b80bb007df34be6b623e3001bf7446 | [
"MIT"
] | null | null | null | apps/users/tests/test_views.py | sgazda94/dj_schulx | c6d2086201b80bb007df34be6b623e3001bf7446 | [
"MIT"
] | 1 | 2022-03-28T22:19:01.000Z | 2022-03-28T22:19:01.000Z | apps/users/tests/test_views.py | sgazda94/dj_schulx | c6d2086201b80bb007df34be6b623e3001bf7446 | [
"MIT"
] | null | null | null | import pytest
from django.conf import settings
from django.contrib import messages
from django.contrib.auth.models import AnonymousUser
from django.contrib.messages.middleware import MessageMiddleware
from django.contrib.sessions.middleware import SessionMiddleware
from django.http import HttpRequest, HttpResponseRedir... | 32.848485 | 79 | 0.697417 |
24a67a56a2df6eb47bd8d9741e269c83e4f0035e | 7,187 | py | Python | airflow/providers/amazon/aws/transfers/redshift_to_s3.py | aliotta/airflow | bca097703233536b4d8e55cd500e9be14596fb7f | [
"Apache-2.0"
] | null | null | null | airflow/providers/amazon/aws/transfers/redshift_to_s3.py | aliotta/airflow | bca097703233536b4d8e55cd500e9be14596fb7f | [
"Apache-2.0"
] | null | null | null | airflow/providers/amazon/aws/transfers/redshift_to_s3.py | aliotta/airflow | bca097703233536b4d8e55cd500e9be14596fb7f | [
"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... | 42.526627 | 106 | 0.671212 |
b7bf5e39b22b9b1e49adfc0ed55a88092acb609b | 806 | py | Python | LeetCode/1-1000/101-200/101-125/108. Convert Sorted Array to Binary Search Tree/solution-python.py | adubois85/coding_challenge_websites | 7867a05847a216661eff3b24b1cb1480fb7d3030 | [
"Apache-2.0"
] | null | null | null | LeetCode/1-1000/101-200/101-125/108. Convert Sorted Array to Binary Search Tree/solution-python.py | adubois85/coding_challenge_websites | 7867a05847a216661eff3b24b1cb1480fb7d3030 | [
"Apache-2.0"
] | null | null | null | LeetCode/1-1000/101-200/101-125/108. Convert Sorted Array to Binary Search Tree/solution-python.py | adubois85/coding_challenge_websites | 7867a05847a216661eff3b24b1cb1480fb7d3030 | [
"Apache-2.0"
] | null | null | null | from typing import List
# Definition for a binary tree node.
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
# [1, 2, 3, 4, 5, 6, 7, 8, 9]
# 5
# 3 7
# 2 4 6 8
# 1 ... | 25.1875 | 67 | 0.485112 |
4253bbb40238e3f83ff6591d12a095d080034d2d | 12,572 | py | Python | python/ccxt/async_support/base/exchange.py | bitkub/ccxt | 6bc708ba3d653c1f74fb7b72c705cb370dc6c498 | [
"MIT"
] | 4 | 2021-01-10T09:14:17.000Z | 2022-02-15T19:09:52.000Z | python/ccxt/async_support/base/exchange.py | bitkub/ccxt | 6bc708ba3d653c1f74fb7b72c705cb370dc6c498 | [
"MIT"
] | null | null | null | python/ccxt/async_support/base/exchange.py | bitkub/ccxt | 6bc708ba3d653c1f74fb7b72c705cb370dc6c498 | [
"MIT"
] | 4 | 2021-06-02T16:40:35.000Z | 2022-03-14T04:50:31.000Z | # -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
__version__ = '1.28.78'
# -----------------------------------------------------------------------------
import asyncio
import concurrent
import socket
import certifi
import aiohttp
import ssl
import sys
import ya... | 41.906667 | 355 | 0.61287 |
637521a9f2c0bdad2a85184ebecf8113f817fd33 | 342 | py | Python | 108-Convert-Sorted-Array-to-Binary-Search-Tree/solution.py | alfmunny/leetcode | e35d2164c7e6e66410309fe1667ceab5a7689bef | [
"MIT"
] | null | null | null | 108-Convert-Sorted-Array-to-Binary-Search-Tree/solution.py | alfmunny/leetcode | e35d2164c7e6e66410309fe1667ceab5a7689bef | [
"MIT"
] | null | null | null | 108-Convert-Sorted-Array-to-Binary-Search-Tree/solution.py | alfmunny/leetcode | e35d2164c7e6e66410309fe1667ceab5a7689bef | [
"MIT"
] | null | null | null | class Solution:
def sortedArrayToBST(self, nums: List[int]) -> TreeNode:
if not nums:
return None
mid = len(nums)//2
root = TreeNode(nums[mid])
root.left = self.sortedArrayToBST(nums[:mid])
root.right = self.sortedArrayToBST(nums[mid+1:])
... | 26.307692 | 60 | 0.54386 |
c46392868f58df9cdb2a918ee9de2cd8368e30b2 | 28 | py | Python | sportsstats/tests/config.example.py | badfeatures/sports-stats | 1bd953d2245008774943056c2e56e44d6dedd107 | [
"MIT"
] | null | null | null | sportsstats/tests/config.example.py | badfeatures/sports-stats | 1bd953d2245008774943056c2e56e44d6dedd107 | [
"MIT"
] | null | null | null | sportsstats/tests/config.example.py | badfeatures/sports-stats | 1bd953d2245008774943056c2e56e44d6dedd107 | [
"MIT"
] | null | null | null | app_key = ''
app_secret = '' | 14 | 15 | 0.607143 |
f1b68a28c1926b02754a56cdfdb630eae271d1c2 | 6,861 | py | Python | src/sagemaker/pytorch/model.py | matthewfollegot/sagemaker-python-sdk | 5182be3c147e8d765208a3548a55df99e3013748 | [
"Apache-2.0"
] | 1 | 2019-12-28T00:47:41.000Z | 2019-12-28T00:47:41.000Z | src/sagemaker/pytorch/model.py | matthewfollegot/sagemaker-python-sdk | 5182be3c147e8d765208a3548a55df99e3013748 | [
"Apache-2.0"
] | null | null | null | src/sagemaker/pytorch/model.py | matthewfollegot/sagemaker-python-sdk | 5182be3c147e8d765208a3548a55df99e3013748 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018-2019 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://aws.amazon.com/apache2.0/
#
# or in the "license" fil... | 42.092025 | 98 | 0.663752 |
739e6f943ea181c77e32bbe9c3200d8194424ecc | 2,760 | py | Python | tempest/api/network/base_routers.py | KiranPawar72/tempest | 1fef3dd92b083055793065dd0693454735ec2c01 | [
"Apache-2.0"
] | null | null | null | tempest/api/network/base_routers.py | KiranPawar72/tempest | 1fef3dd92b083055793065dd0693454735ec2c01 | [
"Apache-2.0"
] | null | null | null | tempest/api/network/base_routers.py | KiranPawar72/tempest | 1fef3dd92b083055793065dd0693454735ec2c01 | [
"Apache-2.0"
] | 1 | 2020-07-21T02:18:23.000Z | 2020-07-21T02:18:23.000Z | # Copyright 2013 OpenStack Foundation
# 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 requ... | 43.125 | 78 | 0.68913 |
8463211945c4f1e45cd17dcc468233d447dee07b | 1,155 | py | Python | scripts/get_countour.py | jorenver/proyecto_investigacion_postes | 7c483a0bad7359a890da8def566b301cdef584e4 | [
"MIT"
] | null | null | null | scripts/get_countour.py | jorenver/proyecto_investigacion_postes | 7c483a0bad7359a890da8def566b301cdef584e4 | [
"MIT"
] | null | null | null | scripts/get_countour.py | jorenver/proyecto_investigacion_postes | 7c483a0bad7359a890da8def566b301cdef584e4 | [
"MIT"
] | null | null | null | from osgeo import gdal
from skimage.morphology import erosion
from skimage.morphology import black_tophat, skeletonize, convex_hull_image
from skimage.morphology import disk
#import tifffile as tiff
import sys
from scipy import ndimage
import numpy as np
#filename = sys.argv[1]
#dst_filename=sys.argv[2]
filename="rast... | 33 | 76 | 0.813853 |
17cf9a0237b60b0fc0e1e7ee995da2cdaf985bf1 | 5,956 | py | Python | extensions/donjayamanne.python-0.6.9/pythonFiles/preview/jedi/settings.py | Sunshengjin/RoboWare-Studio | aa2c309bd5e79f92ba7bf456ff86ad0573975c49 | [
"BSD-3-Clause"
] | 239 | 2018-04-20T06:58:32.000Z | 2022-03-22T18:06:08.000Z | extensions/donjayamanne.python-0.6.9/pythonFiles/preview/jedi/settings.py | Sunshengjin/RoboWare-Studio | aa2c309bd5e79f92ba7bf456ff86ad0573975c49 | [
"BSD-3-Clause"
] | 10 | 2018-12-09T13:49:06.000Z | 2021-07-03T00:38:53.000Z | extensions/donjayamanne.python-0.6.9/pythonFiles/preview/jedi/settings.py | Sunshengjin/RoboWare-Studio | aa2c309bd5e79f92ba7bf456ff86ad0573975c49 | [
"BSD-3-Clause"
] | 99 | 2018-07-20T09:16:13.000Z | 2022-03-20T11:58:56.000Z | """
This module contains variables with global |jedi| settings. To change the
behavior of |jedi|, change the variables defined in :mod:`jedi.settings`.
Plugins should expose an interface so that the user can adjust the
configuration.
Example usage::
from jedi import settings
settings.case_insensitive_comple... | 25.452991 | 79 | 0.711887 |
951b8bbc9e1b5a31b860216d4e7a0b1d13a0b732 | 4,865 | py | Python | correlateSNPsMethylationPlusPlusRand.py | imk1/MethylationQTLCode | d193f518994074a29a39e081d470b1c67a95a527 | [
"MIT"
] | null | null | null | correlateSNPsMethylationPlusPlusRand.py | imk1/MethylationQTLCode | d193f518994074a29a39e081d470b1c67a95a527 | [
"MIT"
] | null | null | null | correlateSNPsMethylationPlusPlusRand.py | imk1/MethylationQTLCode | d193f518994074a29a39e081d470b1c67a95a527 | [
"MIT"
] | null | null | null | def makeIntDict(intDictFileName):
# Make a dictionary from pairs of ints in a file
intDictFile = open(intDictFileName)
intDict = {}
for line in intDictFile:
# Iterate through the lines of the int dictionary file and enter each into the dictionary
lineElements = line.strip().split("\t")
intDict[int(lineEleme... | 44.633028 | 159 | 0.767112 |
6311bc31c859f14edeea066eee01bbf396ebeff5 | 6,959 | py | Python | datasets/dataset_prepare/models/counters/Res50_SCAR.py | Linfeng-Lee/IIM | c63bf8b023ccc6750e178112662972f721dcabe1 | [
"MIT"
] | 81 | 2020-12-10T02:38:03.000Z | 2022-03-23T04:27:39.000Z | datasets/dataset_prepare/models/counters/Res50_SCAR.py | Linfeng-Lee/IIM | c63bf8b023ccc6750e178112662972f721dcabe1 | [
"MIT"
] | 29 | 2020-12-15T09:07:00.000Z | 2022-03-22T10:00:28.000Z | datasets/dataset_prepare/models/counters/Res50_SCAR.py | Linfeng-Lee/IIM | c63bf8b023ccc6750e178112662972f721dcabe1 | [
"MIT"
] | 24 | 2020-12-14T02:05:16.000Z | 2022-03-10T01:26:54.000Z | import torch.nn as nn
import torch
from torchvision import models
import torch.nn.functional as F
from misc.utils import *
import pdb
# model_path = '../PyTorch_Pretrained/resnet101-5d3b4d8f.pth'
class Res50_SCAR(nn.Module):
def __init__(self, pretrained=True):
super(Res50_SCAR, self).__init__()
... | 32.671362 | 124 | 0.573215 |
9ec955f7d416dd1da673d13740cd90fc9e317029 | 732 | py | Python | JumpScale9Portal/tools/codegentools/CodeGeneratorEveModel.py | Jumpscale/portal9 | fd4c9718daf51b877a6a98bd0d1ff4bc0b272f67 | [
"Apache-2.0"
] | 1 | 2017-06-07T08:12:09.000Z | 2017-06-07T08:12:09.000Z | JumpScale9Portal/tools/codegentools/CodeGeneratorEveModel.py | Jumpscale/portal9 | fd4c9718daf51b877a6a98bd0d1ff4bc0b272f67 | [
"Apache-2.0"
] | 36 | 2017-05-18T10:54:44.000Z | 2019-03-27T11:24:20.000Z | JumpScale9Portal/tools/codegentools/CodeGeneratorEveModel.py | Jumpscale/portal9 | fd4c9718daf51b877a6a98bd0d1ff4bc0b272f67 | [
"Apache-2.0"
] | 1 | 2018-06-12T05:18:01.000Z | 2018-06-12T05:18:01.000Z | from js9 import j
from .CodeGeneratorBase import CodeGeneratorBase
class CodeGeneratorEveModel(CodeGeneratorBase):
def __init__(self, spec, typecheck=True, dieInGenCode=True, codepath=''):
CodeGeneratorBase.__init__(self, spec, typecheck, dieInGenCode)
self.type = "EveModel"
def generate(sel... | 25.241379 | 77 | 0.603825 |
a421b654484cd3126340fff30868e0e6db5440ab | 22,713 | py | Python | setup2.py | OnApp/cdn-bsddb3-python | fbb1a877b652091ae0d060d835ec5bcf08595606 | [
"BSD-3-Clause"
] | null | null | null | setup2.py | OnApp/cdn-bsddb3-python | fbb1a877b652091ae0d060d835ec5bcf08595606 | [
"BSD-3-Clause"
] | null | null | null | setup2.py | OnApp/cdn-bsddb3-python | fbb1a877b652091ae0d060d835ec5bcf08595606 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
"""
Copyright (c) 2008-2020, Jesus Cea Avion <jcea@jcea.es>
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
1. Redistributions of source code must retain the above copyright
notic... | 40.414591 | 90 | 0.578215 |
40718ee2ce5d24f893855b171b5090230a93f3d7 | 606 | py | Python | samples/example_03/scenario_test.py | cair/deep-rts | 7aa5dde0c5df10ae3a3d057e7b89641aec58e115 | [
"MIT"
] | 144 | 2018-07-13T07:47:50.000Z | 2022-03-31T06:29:50.000Z | samples/example_03/scenario_test.py | cair/DeepRTS | 2ea4de0993ea0ca2677fdb36a172779db4ce7868 | [
"MIT"
] | 18 | 2019-03-29T10:37:01.000Z | 2022-03-02T12:47:34.000Z | samples/example_03/scenario_test.py | cair/DeepRTS | 2ea4de0993ea0ca2677fdb36a172779db4ce7868 | [
"MIT"
] | 23 | 2018-11-02T18:12:51.000Z | 2022-02-15T20:32:18.000Z |
if __name__ == "__main__":
x = Scenario(
python.Game("15x15-2v2.json", n_players=2),
Scenario.GOLD_COLLECT(1),
Scenario.STONE_COLLECT(1),
Scenario.LUMBER_COLLECT(1),
Scenario.FOOD_CONSUMPTION(1),
Scenario.FOOD_COUNT(1),
Scenario.DAMAGE_DONE(1),
Sc... | 23.307692 | 51 | 0.60231 |
cbf03c8f48fc87a8d28e12a9b82eb5c5a79b3687 | 10,987 | py | Python | atom/nucleus/python/nucleus_api/models/node_relationship.py | ShekharPaatni/SDK | 6534ffdb63af87c02c431df9add05a90370183cb | [
"Apache-2.0"
] | 11 | 2019-04-16T02:11:17.000Z | 2021-12-16T22:51:40.000Z | atom/nucleus/python/nucleus_api/models/node_relationship.py | ShekharPaatni/SDK | 6534ffdb63af87c02c431df9add05a90370183cb | [
"Apache-2.0"
] | 81 | 2019-11-19T23:24:28.000Z | 2022-03-28T11:35:47.000Z | atom/nucleus/python/nucleus_api/models/node_relationship.py | ShekharPaatni/SDK | 6534ffdb63af87c02c431df9add05a90370183cb | [
"Apache-2.0"
] | 11 | 2020-07-08T02:29:56.000Z | 2022-03-28T10:05:33.000Z | # coding: utf-8
"""
Hydrogen Nucleus API
The Hydrogen Nucleus API # noqa: E501
OpenAPI spec version: 1.9.4
Contact: info@hydrogenplatform.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
from nucleus_api.configuration i... | 28.099744 | 243 | 0.596887 |
e1aab18d9cbeb6743c1b5f484171620f065fc3cc | 4,349 | py | Python | bootcamp/news/tests/test_views.py | nandkumar1996/sharebox-portal | 1b4fb60c776d42271a03997ab47f4da67463ad91 | [
"MIT"
] | 7 | 2019-11-25T10:43:31.000Z | 2021-08-09T14:02:58.000Z | bootcamp/news/tests/test_views.py | nandkumar1996/sharebox-portal | 1b4fb60c776d42271a03997ab47f4da67463ad91 | [
"MIT"
] | 45 | 2020-03-29T20:01:38.000Z | 2021-08-09T16:39:33.000Z | bootcamp/news/tests/test_views.py | nandkumar1996/sharebox-portal | 1b4fb60c776d42271a03997ab47f4da67463ad91 | [
"MIT"
] | 5 | 2020-03-30T15:33:42.000Z | 2021-09-17T17:04:40.000Z | from django.test import Client
from django.urls import reverse
from test_plus.test import TestCase
from bootcamp.news.models import News
class NewsViewsTest(TestCase):
def setUp(self):
self.user = self.make_user("first_user")
self.other_user = self.make_user("second_user")
self.client = ... | 39.18018 | 82 | 0.614854 |
b8425713f8ad8d17daea34638d12335bb8f2be05 | 3,361 | py | Python | g_python/hunitytools.py | luiz1n/G-Python | b5ae7d22cae1730193f7ec76dfd85dd1bf172f9e | [
"MIT"
] | null | null | null | g_python/hunitytools.py | luiz1n/G-Python | b5ae7d22cae1730193f7ec76dfd85dd1bf172f9e | [
"MIT"
] | null | null | null | g_python/hunitytools.py | luiz1n/G-Python | b5ae7d22cae1730193f7ec76dfd85dd1bf172f9e | [
"MIT"
] | null | null | null | import threading
import time
from .gextension import Extension
from .hmessage import HMessage, Direction
from .hpacket import HPacket
from .hunityparsers import HUnityEntity, HFUnityFloorItem
class UnityRoomUsers:
def __init__(self, ext: Extension, users_in_room=28, get_guest_room=385, user_logged_out=29):
... | 33.949495 | 97 | 0.688486 |
68b2275acf5a0f10a8e6207e731df3c332d5db8c | 35,115 | py | Python | ManagementService/python/deployWorkflow.py | chengyih001/knix_impl | 9921f512a9a4fdad49d3f3ae77f4d26cce7ef619 | [
"Apache-2.0"
] | null | null | null | ManagementService/python/deployWorkflow.py | chengyih001/knix_impl | 9921f512a9a4fdad49d3f3ae77f4d26cce7ef619 | [
"Apache-2.0"
] | null | null | null | ManagementService/python/deployWorkflow.py | chengyih001/knix_impl | 9921f512a9a4fdad49d3f3ae77f4d26cce7ef619 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 The KNIX Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agree... | 47.581301 | 251 | 0.629645 |
8754c0710e742b7cf20b782a0f75146a3591f1cf | 24,063 | py | Python | roles/eseries/library/netapp_e_volume.py | NetApp/eseries-stk | 54e1f74c0f242651def25aee478cd40027b37f57 | [
"BSD-3-Clause"
] | 2 | 2019-03-27T08:44:36.000Z | 2020-10-22T21:15:30.000Z | roles/eseries/library/netapp_e_volume.py | NetApp/eseries-stk | 54e1f74c0f242651def25aee478cd40027b37f57 | [
"BSD-3-Clause"
] | 1 | 2020-04-14T20:24:41.000Z | 2020-04-25T18:43:57.000Z | roles/eseries/library/netapp_e_volume.py | NetApp/eseries-stk | 54e1f74c0f242651def25aee478cd40027b37f57 | [
"BSD-3-Clause"
] | 4 | 2017-10-17T19:39:21.000Z | 2019-03-12T13:30:14.000Z | #!/usr/bin/python
# (c) 2016, NetApp, Inc
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.0',
'status': ['preview'],
... | 42.816726 | 127 | 0.525371 |
aa0af72bea04f683f43f226b3365f8366d4f1cb3 | 22,573 | py | Python | flopy/mf6/modflow/mfgwtmwt.py | dbrakenhoff/flopy | 0d5953303694e023da8ee9e9453862bbdb7ffb66 | [
"CC0-1.0",
"BSD-3-Clause"
] | null | null | null | flopy/mf6/modflow/mfgwtmwt.py | dbrakenhoff/flopy | 0d5953303694e023da8ee9e9453862bbdb7ffb66 | [
"CC0-1.0",
"BSD-3-Clause"
] | null | null | null | flopy/mf6/modflow/mfgwtmwt.py | dbrakenhoff/flopy | 0d5953303694e023da8ee9e9453862bbdb7ffb66 | [
"CC0-1.0",
"BSD-3-Clause"
] | null | null | null | # DO NOT MODIFY THIS FILE DIRECTLY. THIS FILE MUST BE CREATED BY
# mf6/utils/createpackages.py
from .. import mfpackage
from ..data.mfdatautil import ListTemplateGenerator
class ModflowGwtmwt(mfpackage.MFPackage):
"""
ModflowGwtmwt defines a mwt package within a gwt6 model.
Parameters
----------
... | 36.883987 | 79 | 0.555752 |
6ae9a916c7114d348e1270f0b9bba07feb12b842 | 2,167 | py | Python | 22/sol.py | chaserobertson/advent2020 | 77da333b66b6cc152834888dfe022cd526de45cc | [
"MIT"
] | null | null | null | 22/sol.py | chaserobertson/advent2020 | 77da333b66b6cc152834888dfe022cd526de45cc | [
"MIT"
] | null | null | null | 22/sol.py | chaserobertson/advent2020 | 77da333b66b6cc152834888dfe022cd526de45cc | [
"MIT"
] | null | null | null | import pathlib
import queue
in_file = pathlib.Path.cwd().joinpath('22', 'input.txt')
with open(in_file) as input:
lines = input.readlines()
class Player:
def __init__(self, id):
self.id = int(id)
self.deck = queue.SimpleQueue()
def __str__(self):
output = 'Player ' + str(self.id... | 24.077778 | 62 | 0.577757 |
1f3c0a8d66f05e05ac6113769f9290b209e434f3 | 5,017 | py | Python | docs/conf.py | radtomas/sufler | ff60fb110b5aad8ca0ea6d784148b596a3e5a0db | [
"MIT"
] | 3 | 2018-03-29T14:35:08.000Z | 2020-11-18T03:11:10.000Z | docs/conf.py | radtomas/sufler | ff60fb110b5aad8ca0ea6d784148b596a3e5a0db | [
"MIT"
] | 12 | 2018-03-22T10:47:11.000Z | 2021-03-25T22:08:41.000Z | docs/conf.py | radtomas/sufler | ff60fb110b5aad8ca0ea6d784148b596a3e5a0db | [
"MIT"
] | 1 | 2018-03-09T13:35:12.000Z | 2018-03-09T13:35:12.000Z | # -*- coding: utf-8 -*-
#
# Configuration file for the Sphinx documentation builder.
#
# This file does only contain a selection of the most common options. For a
# full list see the documentation:
# http://www.sphinx-doc.org/en/stable/config
# -- Path setup ------------------------------------------------------------... | 29.863095 | 79 | 0.651585 |
0fe0cb324a68728ec1877b6c3ab8e46ee6bb5ac2 | 46,312 | py | Python | gramex/cache.py | joshuamosesb/gramex | e416cb609698b5941a18b06743c853dee50e0500 | [
"MIT"
] | 1 | 2020-05-17T18:03:44.000Z | 2020-05-17T18:03:44.000Z | gramex/cache.py | joshuamosesb/gramex | e416cb609698b5941a18b06743c853dee50e0500 | [
"MIT"
] | null | null | null | gramex/cache.py | joshuamosesb/gramex | e416cb609698b5941a18b06743c853dee50e0500 | [
"MIT"
] | null | null | null | '''Caching utilities'''
from __future__ import unicode_literals
import io
import os
import re
import six
import sys
import json
import time
import atexit
import inspect
import requests
import tempfile
import mimetypes
import subprocess # nosec
import pandas as pd
import tornado.template
from threading import Thr... | 38.022989 | 99 | 0.599737 |
7514a074efe8f4de9516d192fd2ec88bb08bc708 | 144 | py | Python | cms/plugins/moderation/tests/apps.py | cresset-group/cms | 727b81e40dd1196e85c240e728a7824121163d4d | [
"BSD-3-Clause"
] | 13 | 2015-03-13T21:32:16.000Z | 2020-08-07T08:09:02.000Z | cms/plugins/moderation/tests/apps.py | cresset-group/cms | 727b81e40dd1196e85c240e728a7824121163d4d | [
"BSD-3-Clause"
] | 131 | 2015-04-04T11:27:14.000Z | 2020-10-16T13:39:16.000Z | cms/plugins/moderation/tests/apps.py | cresset-group/cms | 727b81e40dd1196e85c240e728a7824121163d4d | [
"BSD-3-Clause"
] | 16 | 2015-06-05T12:56:28.000Z | 2021-01-06T15:15:53.000Z | from django.apps import AppConfig
class ModerationConfig(AppConfig):
name = 'cms.plugins.moderation.tests'
label = 'moderation_tests'
| 20.571429 | 41 | 0.756944 |
0efe7f8638a4486a7445ee13d86918b2b0fbf71e | 4,086 | py | Python | Samples-Http/OLD/Python/TTSSample.py | jiajzhan/Cognitive-Speech-TTS | ce10ef9cc24fe02d06e3078eabb79922aa9d0409 | [
"MIT"
] | 385 | 2017-04-14T08:22:31.000Z | 2022-03-29T05:21:14.000Z | Samples-Http/OLD/Python/TTSSample.py | jiajzhan/Cognitive-Speech-TTS | ce10ef9cc24fe02d06e3078eabb79922aa9d0409 | [
"MIT"
] | 107 | 2017-04-12T03:08:08.000Z | 2022-01-24T05:39:55.000Z | Samples-Http/OLD/Python/TTSSample.py | jiajzhan/Cognitive-Speech-TTS | ce10ef9cc24fe02d06e3078eabb79922aa9d0409 | [
"MIT"
] | 373 | 2017-04-14T10:57:23.000Z | 2022-03-29T02:58:10.000Z | '''
After you've set your subscription key, run this application from your working
directory with this command: python TTSSample.py
'''
import os, requests, time
from xml.etree import ElementTree
# This code is required for Python 2.7
try: input = raw_input
except NameError: pass
'''
If you prefer, you can hardcode y... | 41.693878 | 140 | 0.660548 |
af31336ec68661f5d7c71536310a131a4a97d714 | 26,725 | py | Python | bcbio/qc/multiqc.py | WimSpee/bcbio-nextgen | 7b20b9a2cb5e918af130d011961761c49f758e14 | [
"MIT"
] | 1 | 2021-05-11T06:40:17.000Z | 2021-05-11T06:40:17.000Z | bcbio/qc/multiqc.py | stl-23/bcbio-nextgen | 1a241c0f0a7db4e754164015f4fb0090eaa6bee7 | [
"MIT"
] | null | null | null | bcbio/qc/multiqc.py | stl-23/bcbio-nextgen | 1a241c0f0a7db4e754164015f4fb0090eaa6bee7 | [
"MIT"
] | null | null | null | """High level summaries of samples and programs with MultiQC.
https://github.com/ewels/MultiQC
"""
import collections
import glob
import io
import json
import mimetypes
import os
import pandas as pd
import shutil
import numpy as np
from collections import OrderedDict
import pybedtools
import six
import toolz as tz
im... | 43.455285 | 141 | 0.630196 |
a6ac6220683f282b6f8d45f487300a99bfc59863 | 300 | py | Python | jobboardscraper/search/views.py | dillonko/jobboardscraper | 21d662c3bad2e054c3b43f648e5b276339ee1d32 | [
"BSD-3-Clause"
] | null | null | null | jobboardscraper/search/views.py | dillonko/jobboardscraper | 21d662c3bad2e054c3b43f648e5b276339ee1d32 | [
"BSD-3-Clause"
] | 5 | 2020-12-09T20:45:28.000Z | 2021-12-14T10:38:50.000Z | jobboardscraper/search/views.py | dillonko/jobboardscraper | 21d662c3bad2e054c3b43f648e5b276339ee1d32 | [
"BSD-3-Clause"
] | null | null | null | from django.conf import settings
from haystack.generic_views import SearchView
from pure_pagination.mixins import PaginationMixin
from .forms import MySearchForm
class MySearchView(PaginationMixin, SearchView):
form_class = MySearchForm
paginate_by = getattr(settings, 'PAGINATE_BY', 10)
| 25 | 54 | 0.816667 |
0c85938847af34d61d3a2dcb6319d1b6b498133c | 653 | py | Python | converters.py | ThadeuJose/Python-WEBPtoPNGConverter | 64e73138d53846e9068f97e48d65aca7dfb77f6c | [
"MIT"
] | null | null | null | converters.py | ThadeuJose/Python-WEBPtoPNGConverter | 64e73138d53846e9068f97e48d65aca7dfb77f6c | [
"MIT"
] | null | null | null | converters.py | ThadeuJose/Python-WEBPtoPNGConverter | 64e73138d53846e9068f97e48d65aca7dfb77f6c | [
"MIT"
] | null | null | null | from PIL import Image
from files import EXTENSION, INPUT_EXTENSION, OUTPUT_EXTENSION, create_path, get_all_files, get_filename
def convert_webp_to_png(inputpath, outputpath, file_extension):
MODE = "RGB"
im = Image.open(inputpath).convert(MODE)
im.save(outputpath, file_extension)
def convert_folder_webp_... | 40.8125 | 104 | 0.705972 |
8ddd94b371dc3a525bbc004a88e2a0ae77445778 | 6,807 | py | Python | tournament/models.py | siddeshlc8/Software-Engineering-Project | f1b5c1ef029d1126b6446b53755b9c91b095d4a1 | [
"MIT"
] | 4 | 2021-01-11T09:10:49.000Z | 2022-03-20T09:39:41.000Z | tournament/models.py | siddeshlc8/Software_Engineering_Project | f1b5c1ef029d1126b6446b53755b9c91b095d4a1 | [
"MIT"
] | 6 | 2020-06-05T22:33:29.000Z | 2022-01-13T01:33:17.000Z | tournament/models.py | siddeshlc8/Software_Engineering_Project | f1b5c1ef029d1126b6446b53755b9c91b095d4a1 | [
"MIT"
] | 1 | 2018-09-10T07:44:56.000Z | 2018-09-10T07:44:56.000Z | from django.db import models
from organizer.models import Organizer
from player.models import Player
# Create your models here.
class Tournament(models.Model):
name = models.CharField(max_length=20, unique=True)
image = models.ImageField(blank=True, upload_to='tournaments', default='tournaments/no.png')
... | 46.944828 | 125 | 0.682827 |
053f054478f468cf9631ab6be03e0c50f52c3e72 | 4,313 | py | Python | src/test/test_bip38.py | alessandro-saglimbeni/libwally-core | ae84c26519b6c513332c19bc183dc0b584f4bf33 | [
"MIT"
] | 1 | 2021-06-06T18:11:23.000Z | 2021-06-06T18:11:23.000Z | src/test/test_bip38.py | alessandro-saglimbeni/libwally-core | ae84c26519b6c513332c19bc183dc0b584f4bf33 | [
"MIT"
] | 1 | 2020-12-31T11:25:31.000Z | 2021-01-22T00:24:37.000Z | src/test/test_bip38.py | alessandro-saglimbeni/libwally-core | ae84c26519b6c513332c19bc183dc0b584f4bf33 | [
"MIT"
] | 2 | 2020-08-24T07:39:11.000Z | 2020-09-30T22:36:40.000Z | import unittest
from util import *
K_MAIN, K_TEST, K_COMP, K_EC, K_CHECK, K_RAW, K_ORDER = 0, 7, 256, 512, 1024, 2048, 4096
# BIP38 Vectors from
# https://github.com/bitcoin/bips/blob/master/bip-0038.mediawiki
cases = [
[ 'CBF4B9F70470856BB4F40F80B87EDB90865997FFEE6DF315AB166D713AF433A5',
'TestingOneTwoThre... | 41.07619 | 89 | 0.649664 |
3df49cf86a9b6d391723ddb2223f38f56c31d8d8 | 10,585 | py | Python | test/ext/test_indexable.py | rissikess/sqlalchemy-ceodbc | 6f81f3f7a3c6e39843d478e11e010923a3bf7672 | [
"MIT"
] | null | null | null | test/ext/test_indexable.py | rissikess/sqlalchemy-ceodbc | 6f81f3f7a3c6e39843d478e11e010923a3bf7672 | [
"MIT"
] | null | null | null | test/ext/test_indexable.py | rissikess/sqlalchemy-ceodbc | 6f81f3f7a3c6e39843d478e11e010923a3bf7672 | [
"MIT"
] | null | null | null | from sqlalchemy.testing import assert_raises
import sqlalchemy as sa
from sqlalchemy import testing
from sqlalchemy import Integer, Text
from sqlalchemy.sql.sqltypes import ARRAY, JSON
from sqlalchemy.testing.schema import Column
from sqlalchemy.orm import Session
from sqlalchemy.testing import fixtures
from sqlalchemy... | 28.226667 | 81 | 0.547567 |
5d5acc1d9b48118cc45983b71b7e4007f7e0decd | 466 | py | Python | fastaProcessing/fastaReplaceDeg.py | linlifeng/llbio | 962f6abda8e8a576cb0bf4d73d3a5c4ef9b1a04b | [
"MIT"
] | null | null | null | fastaProcessing/fastaReplaceDeg.py | linlifeng/llbio | 962f6abda8e8a576cb0bf4d73d3a5c4ef9b1a04b | [
"MIT"
] | null | null | null | fastaProcessing/fastaReplaceDeg.py | linlifeng/llbio | 962f6abda8e8a576cb0bf4d73d3a5c4ef9b1a04b | [
"MIT"
] | null | null | null | #!/usr/bin/python
'''
1. fasta fname
2. replace with?
'''
from sys import argv,exit
from Bio import SeqIO
try:
fname = argv[1]
repl = argv[2]
except:
exit(__doc__)
f = open(fname, 'r')
records = SeqIO.parse(f,'fasta')
for r in records:
seq = r.seq
newSeq = ''
for l in seq:
if l.lower... | 15.533333 | 46 | 0.530043 |
34e24e51fc99a3e2607974e174f316b0da43e947 | 8,957 | py | Python | homeassistant/generated/zeroconf.py | davyike/core | 13cc7583ed5c7de43c56b43db8fdc9879a853666 | [
"Apache-2.0"
] | 3 | 2019-10-02T04:40:26.000Z | 2020-02-16T13:19:08.000Z | homeassistant/generated/zeroconf.py | davyike/core | 13cc7583ed5c7de43c56b43db8fdc9879a853666 | [
"Apache-2.0"
] | 18 | 2021-11-03T06:21:27.000Z | 2022-03-31T06:20:57.000Z | homeassistant/generated/zeroconf.py | davyike/core | 13cc7583ed5c7de43c56b43db8fdc9879a853666 | [
"Apache-2.0"
] | null | null | null | """Automatically generated by hassfest.
To update, run python3 -m script.hassfest
"""
# fmt: off
ZEROCONF = {
"_Volumio._tcp.local.": [
{
"domain": "volumio"
}
],
"_airplay._tcp.local.": [
{
"domain": "apple_tv",
"properties": {
... | 20.08296 | 47 | 0.356146 |
f79962dd478d66de69057f56d81005f401c027d4 | 9,860 | py | Python | main.py | TharukRenuja/Telegraph-Uploader | 7a01d32742177bf9b3c896f448c6ca915a6953a3 | [
"MIT"
] | null | null | null | main.py | TharukRenuja/Telegraph-Uploader | 7a01d32742177bf9b3c896f448c6ca915a6953a3 | [
"MIT"
] | null | null | null | main.py | TharukRenuja/Telegraph-Uploader | 7a01d32742177bf9b3c896f448c6ca915a6953a3 | [
"MIT"
] | null | null | null | # Made with python3
# (C) @FayasNoushad
# Copyright permission under MIT License
# All rights reserved by FayasNoushad
# License -> https://github.com/FayasNoushad/Telegraph-Uploader-Bot-V2/blob/main/LICENSE
import os
import time
import math
import json
import string
import random
import traceback
import asyncio
impor... | 33.310811 | 199 | 0.66998 |
5c18acc59e8fdfa76448dce04c040546686b3f1f | 13,060 | py | Python | wildfly/client.py | bheesham/wildfly-py | b5a3da0c7843e22b0c76b2b12fc088f0a2c9bd2d | [
"Apache-2.0"
] | 1 | 2021-06-08T18:44:59.000Z | 2021-06-08T18:44:59.000Z | wildfly/client.py | zsuzhengdu/wildfly-py | b5a3da0c7843e22b0c76b2b12fc088f0a2c9bd2d | [
"Apache-2.0"
] | null | null | null | wildfly/client.py | zsuzhengdu/wildfly-py | b5a3da0c7843e22b0c76b2b12fc088f0a2c9bd2d | [
"Apache-2.0"
] | 1 | 2021-06-08T18:42:35.000Z | 2021-06-08T18:42:35.000Z | # python binding for wildlfy management http/json api
import logging
import json
import requests
from . import util
from . import api
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
# Define some
KEY_OUTCOME = "outcome"
KEY_RESULT = "result"
class Client(requests.Session,
api.HostAp... | 39.696049 | 135 | 0.552374 |
37c9702802e994d72ec588bcb654f21f5a644b98 | 1,232 | py | Python | pyxpiral/tests/pyxpiral_test.py | elcodedocle/pyxpiral | cc2b104b386c3f6d49e28c21e27eaa9996e1938c | [
"MIT"
] | null | null | null | pyxpiral/tests/pyxpiral_test.py | elcodedocle/pyxpiral | cc2b104b386c3f6d49e28c21e27eaa9996e1938c | [
"MIT"
] | null | null | null | pyxpiral/tests/pyxpiral_test.py | elcodedocle/pyxpiral | cc2b104b386c3f6d49e28c21e27eaa9996e1938c | [
"MIT"
] | null | null | null | """
Unitary tests for pyxpiral.py.
:author: elcodedocle
:contact: gael.abadin@gmail.com
"""
# pylint:disable=C0103,C0111,W0212,W0611
import logging
import unittest
from .. import __main__ as pyxpiral
class TestPyxpiral(unittest.TestCase):
"""
Unitary tests for Pyxpiral.
"""
@classmethod
def ... | 20.881356 | 93 | 0.609578 |
b24738a8fb8ba74cef0887b993642cfca33fecf4 | 23,068 | py | Python | exotic_ld/ld_computation.py | hrwakeford/ExoTiC-LD | 5fdd86bcaded787e2e0d9d9c1ca54fa1ceda421a | [
"MIT"
] | null | null | null | exotic_ld/ld_computation.py | hrwakeford/ExoTiC-LD | 5fdd86bcaded787e2e0d9d9c1ca54fa1ceda421a | [
"MIT"
] | null | null | null | exotic_ld/ld_computation.py | hrwakeford/ExoTiC-LD | 5fdd86bcaded787e2e0d9d9c1ca54fa1ceda421a | [
"MIT"
] | null | null | null | import os
import numpy as np
import pandas as pd
from scipy.io import readsav
from astropy.modeling.fitting import LevMarLSQFitter
from scipy.interpolate import interp1d, splev, splrep
from exotic_ld.ld_laws import quadratic_limb_darkening, \
nonlinear_limb_darkening
class StellarLimbDarkening(object):
"""
... | 43.037313 | 80 | 0.577597 |
97c27953832563cfd06be77b30fe4c7052ef111e | 4,549 | py | Python | molteniron/tests/testDoClean.py | openstack/molteniron | 348138603465cd4bfecfa8664435851225af29ef | [
"Apache-2.0"
] | 8 | 2016-11-20T08:00:59.000Z | 2019-01-28T22:04:40.000Z | molteniron/tests/testDoClean.py | openstack/molteniron | 348138603465cd4bfecfa8664435851225af29ef | [
"Apache-2.0"
] | null | null | null | molteniron/tests/testDoClean.py | openstack/molteniron | 348138603465cd4bfecfa8664435851225af29ef | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""
Tests the MoltenIron doClean command.
"""
# Copyright (c) 2016 IBM Corporation.
#
# 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/licens... | 28.974522 | 78 | 0.568037 |
efa3c386858cc8c37ec9479756f312faa0b14244 | 2,049 | py | Python | sparse_data/exp_framework/random_forest.py | gunpowder78/google-research | d41bbaca1eb9bfd980ec2b3fd201c3ddb4d1f2e5 | [
"Apache-2.0"
] | 1 | 2022-03-13T21:48:52.000Z | 2022-03-13T21:48:52.000Z | sparse_data/exp_framework/random_forest.py | gunpowder78/google-research | d41bbaca1eb9bfd980ec2b3fd201c3ddb4d1f2e5 | [
"Apache-2.0"
] | null | null | null | sparse_data/exp_framework/random_forest.py | gunpowder78/google-research | d41bbaca1eb9bfd980ec2b3fd201c3ddb4d1f2e5 | [
"Apache-2.0"
] | 1 | 2022-03-30T07:20:29.000Z | 2022-03-30T07:20:29.000Z | # coding=utf-8
# Copyright 2022 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | 33.048387 | 80 | 0.725232 |
c950a29e711dec81dd7c9eae775b8480d1417be4 | 2,439 | py | Python | app/crud/user.py | shiniao/soul-api | 1438281c2dce237d735f7309c2ddb606c8d01e1e | [
"Apache-2.0"
] | 1 | 2021-02-27T09:05:40.000Z | 2021-02-27T09:05:40.000Z | app/crud/user.py | shiniao/soulapi | 1438281c2dce237d735f7309c2ddb606c8d01e1e | [
"Apache-2.0"
] | null | null | null | app/crud/user.py | shiniao/soulapi | 1438281c2dce237d735f7309c2ddb606c8d01e1e | [
"Apache-2.0"
] | null | null | null | from typing import Optional, Union, Dict, Any
from sqlalchemy.orm import Session
from .base import CRUDBase
from ..models.user import User
from ..schemas.user import UserCreate, UserUpdate
from ..utils import get_hashed_password, verify_password
class CRUDUser(CRUDBase[User, UserCreate, UserUpdate]):
"""crud fo... | 31.269231 | 88 | 0.612136 |
b804a71e19438be27a6781c6296e947462d84d4c | 2,173 | py | Python | scipy/sparse/csgraph/tests/test_spanning_tree.py | seberg/scipy | d8081cdd40ed8cbebd5905c0ad6c323c57d5da6e | [
"BSD-3-Clause"
] | 1 | 2018-10-04T15:34:14.000Z | 2018-10-04T15:34:14.000Z | scipy/sparse/csgraph/tests/test_spanning_tree.py | seberg/scipy | d8081cdd40ed8cbebd5905c0ad6c323c57d5da6e | [
"BSD-3-Clause"
] | null | null | null | scipy/sparse/csgraph/tests/test_spanning_tree.py | seberg/scipy | d8081cdd40ed8cbebd5905c0ad6c323c57d5da6e | [
"BSD-3-Clause"
] | null | null | null | """Test the minimum spanning tree function"""
import numpy as np
from numpy.testing import assert_
import numpy.testing as npt
from scipy.sparse import csr_matrix
from scipy.sparse.csgraph import minimum_spanning_tree
def test_minimum_spanning_tree():
# Create a graph with two connected components.
graph = [[... | 33.953125 | 74 | 0.601933 |
b1e7cf54220e257e24712c4f5743a39afd050ea4 | 8,933 | py | Python | prody/__init__.py | kaynakb/ProDy | 4366ad28142f51ff8a84f8a0f4ce659c0b949d55 | [
"MIT"
] | null | null | null | prody/__init__.py | kaynakb/ProDy | 4366ad28142f51ff8a84f8a0f4ce659c0b949d55 | [
"MIT"
] | null | null | null | prody/__init__.py | kaynakb/ProDy | 4366ad28142f51ff8a84f8a0f4ce659c0b949d55 | [
"MIT"
] | null | null | null | """ProDy is a package for Protein Dynamics, Sequence, and Structure Analysis"""
__version__ = '2.0'
__release__ = __version__ # + '-dev' # comment out '-dev' before a release
import sys
import warnings
if sys.version_info[:2] < (2, 7):
sys.stderr.write('Python 2.6 and older is not supported\n')
sys.exit()
i... | 30.077441 | 79 | 0.643121 |
ad3812f4983c2412314f0f3e88e910b35591f22a | 9,996 | py | Python | tensorflow_probability/python/distributions/geometric.py | mjul/tensorflow-probability | c733f06bccceb983f3e9db8e6e3c98b3bd4d23c9 | [
"Apache-2.0"
] | 1 | 2021-06-16T20:06:04.000Z | 2021-06-16T20:06:04.000Z | tensorflow_probability/python/distributions/geometric.py | mjul/tensorflow-probability | c733f06bccceb983f3e9db8e6e3c98b3bd4d23c9 | [
"Apache-2.0"
] | null | null | null | tensorflow_probability/python/distributions/geometric.py | mjul/tensorflow-probability | c733f06bccceb983f3e9db8e6e3c98b3bd4d23c9 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 The TensorFlow Probability Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 36.349091 | 79 | 0.668768 |
52e26a67d055781ad3182f8164e731cf47b66856 | 18,323 | py | Python | dense_correspondence/network/dense_correspondence_network.py | masato-ka/pytorch-dense-correspondence | 89a5f87fd773b210e93ebcfeb945c95e7417d0e9 | [
"BSD-3-Clause"
] | null | null | null | dense_correspondence/network/dense_correspondence_network.py | masato-ka/pytorch-dense-correspondence | 89a5f87fd773b210e93ebcfeb945c95e7417d0e9 | [
"BSD-3-Clause"
] | null | null | null | dense_correspondence/network/dense_correspondence_network.py | masato-ka/pytorch-dense-correspondence | 89a5f87fd773b210e93ebcfeb945c95e7417d0e9 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/python
import sys, os
import numpy as np
import warnings
import logging
import dense_correspondence_manipulation.utils.utils as utils
utils.add_dense_correspondence_to_python_path()
from PIL import Image
import torch
import torch.nn as nn
from torchvision import transforms
import pytorch_segmentation_det... | 31.537005 | 113 | 0.630301 |
bf7fc5d90c685232a6be1ce5d33788d73b14cf8b | 4,574 | py | Python | src/func.py | kevinmarquesp/terminal-shoppingList | 138eda191f9f037db74bc63bd046355be52963b1 | [
"MIT"
] | null | null | null | src/func.py | kevinmarquesp/terminal-shoppingList | 138eda191f9f037db74bc63bd046355be52963b1 | [
"MIT"
] | null | null | null | src/func.py | kevinmarquesp/terminal-shoppingList | 138eda191f9f037db74bc63bd046355be52963b1 | [
"MIT"
] | null | null | null | from os import system, name, remove
from datetime import date
def intToDecimal(n):
return f'R$ {n/100}'.replace( '.', ',')
def tableWrite( array=list(), total=dict()):
system( 'clear' if name!='nt' else 'cls')
if len(array)==0:
print()
else:
print( '\n\033[32m Nada adicionado ainda... | 27.721212 | 184 | 0.415173 |
41780dc5c030660347320bf6b7e61914a7414c5d | 592 | py | Python | Day01-15/code/Day07/findmax.py | bdfd/Python_Zero2Hero_DS | 9dafe90b8112fdc3d07e1aa02e41ed3f019f733c | [
"MIT"
] | 3 | 2022-01-15T19:06:19.000Z | 2022-01-18T16:47:27.000Z | Day01-15/code/Day07/findmax.py | bdfd/4.5_Data-Science-Python-Zero2Hero- | 9dafe90b8112fdc3d07e1aa02e41ed3f019f733c | [
"MIT"
] | null | null | null | Day01-15/code/Day07/findmax.py | bdfd/4.5_Data-Science-Python-Zero2Hero- | 9dafe90b8112fdc3d07e1aa02e41ed3f019f733c | [
"MIT"
] | 1 | 2022-02-28T23:37:59.000Z | 2022-02-28T23:37:59.000Z | """
找出列表中最大或最小的元素
Version: 0.1
Author: BDFD
Date: 2018-03-06
"""
def main():
fruits = ['grape', 'apple', 'strawberry', 'waxberry', 'pitaya']
# 直接使用内置的max和min函数找出列表中最大和最小元素
# print(max(fruits))
# print(min(fruits))
max_value = min_value = fruits[0]
for index in range(1, len(fruits)):
i... | 21.142857 | 67 | 0.614865 |
f19ef97a0bed5b13ab219e5ef779979b33f0b9e5 | 529 | py | Python | test/start_all_pwm.py | adafruit/adafruit-beaglebone-io-python | 7361d9a997bce4ab79c83c4ef30442e8dd13f363 | [
"MIT"
] | 305 | 2015-01-03T07:03:01.000Z | 2022-03-13T07:35:45.000Z | test/start_all_pwm.py | silver2row/adafruit-beaglebone-io-python | 7284fb18a960ed65351ac2f5128d516372ca74a3 | [
"MIT"
] | 280 | 2015-01-05T16:13:10.000Z | 2022-03-19T19:21:15.000Z | test/start_all_pwm.py | silver2row/adafruit-beaglebone-io-python | 7284fb18a960ed65351ac2f5128d516372ca74a3 | [
"MIT"
] | 179 | 2015-01-01T03:05:13.000Z | 2022-03-25T18:08:34.000Z | import Adafruit_BBIO.PWM as PWM
pins = [
"P9_16", #PWM1B
"P9_21", #PWM0B
"P9_22", #PWM0A
"P9_28", #ECAP2
"P9_29", #PWM0B
"P9_31", #PWM0A
"P9_42", #ECAP0
"P8_13", #PWM2B
"P8_19", #PWM2A
"P8_34", #PWM1B
"P8_36", #PWM1A
"P8_45", #PWM2A
"P8_46" #PWM2B
]
# /sys/devices/platform/ocp/48300000.epwmss/48300100.ecap/pwm/pwmc... | 18.892857 | 89 | 0.689981 |
9597976a1b48cedb45e636e6ec1355c12251efb7 | 1,400 | py | Python | sandbox/TrainDataMaker/Tournament/evaluator.py | YuMurata/UserPreferencePredictor | bb7c725147b65a9a0c0a40b2f3cafc105db5bc89 | [
"MIT"
] | null | null | null | sandbox/TrainDataMaker/Tournament/evaluator.py | YuMurata/UserPreferencePredictor | bb7c725147b65a9a0c0a40b2f3cafc105db5bc89 | [
"MIT"
] | null | null | null | sandbox/TrainDataMaker/Tournament/evaluator.py | YuMurata/UserPreferencePredictor | bb7c725147b65a9a0c0a40b2f3cafc105db5bc89 | [
"MIT"
] | null | null | null | import UserPreferencePredictor.TrainDataMaker.Tournament as Tournament
import logging
import random
class NumberPlayer(Tournament.Player):
def __init__(self, param):
super().__init__(param)
def decode(self):
return self.param
def _param_diff(param, target_param):
return 1/(abs(param-tar... | 26.923077 | 70 | 0.665714 |
ffedcb8260288efc6cb8503b08d4c6eb617bd398 | 4,664 | py | Python | homeassistant/components/climate/vera.py | Norien/Home-Assistant | 0aa8933df675aa3ea93126c0b1eb7c9a77208331 | [
"Apache-2.0"
] | 2 | 2017-02-25T00:27:06.000Z | 2017-02-25T03:09:30.000Z | homeassistant/components/climate/vera.py | Norien/Home-Assistant | 0aa8933df675aa3ea93126c0b1eb7c9a77208331 | [
"Apache-2.0"
] | null | null | null | homeassistant/components/climate/vera.py | Norien/Home-Assistant | 0aa8933df675aa3ea93126c0b1eb7c9a77208331 | [
"Apache-2.0"
] | null | null | null | """
Support for Vera thermostats.
For more details about this platform, please refer to the documentation at
https://home-assistant.io/components/switch.vera/
"""
import logging
from homeassistant.util import convert
from homeassistant.components.climate import ClimateDevice, ENTITY_ID_FORMAT
from homeassistant.const... | 31.727891 | 76 | 0.642367 |
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