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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
273f5601e7028883ce023d07d960ba6fa3bb289d | 1,716 | py | Python | M-SPRING/heuristic/shortest_paths.py | CN-UPB/SPRING | 1cb74919689e832987cb2c9b490eec7f09a64f52 | [
"Apache-2.0"
] | 3 | 2019-09-27T08:07:11.000Z | 2021-11-19T11:27:39.000Z | M-SPRING/heuristic/shortest_paths.py | CN-UPB/SPRING | 1cb74919689e832987cb2c9b490eec7f09a64f52 | [
"Apache-2.0"
] | null | null | null | M-SPRING/heuristic/shortest_paths.py | CN-UPB/SPRING | 1cb74919689e832987cb2c9b490eec7f09a64f52 | [
"Apache-2.0"
] | null | null | null | import math
# return the delay of the specified path (= list of nodes)
def path_delay(links, path):
delay = 0
# go along nodes of the path and increment delay for each traversed link
for i in range(len(path) - 1):
# skip connections on same node without a link (both inst at same node)
if path[i] != pa... | 36.510638 | 104 | 0.648601 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 651 | 0.379371 |
273f6a820dd8f3aeae5864ba60eb32fd5d0541ad | 2,398 | py | Python | testing/statistic.py | methk/RadixDLT-IoTSimulation | 886ba589c8e7be08c95cf3636438c10e97e16752 | [
"MIT"
] | null | null | null | testing/statistic.py | methk/RadixDLT-IoTSimulation | 886ba589c8e7be08c95cf3636438c10e97e16752 | [
"MIT"
] | 3 | 2021-03-09T21:18:22.000Z | 2021-09-02T01:05:44.000Z | testing/statistic.py | methk/RadixDLT-IoTSimulation | 886ba589c8e7be08c95cf3636438c10e97e16752 | [
"MIT"
] | 1 | 2022-02-18T14:51:46.000Z | 2022-02-18T14:51:46.000Z | import os
import csv
import numpy as np
import scipy.stats
import matplotlib.pyplot as plt
plt.style.use('seaborn-whitegrid')
def mean_confidence_interval(data, confidence=0.95):
a = 1.0 * np.array(data)
n = len(a)
m, se = np.mean(a), scipy.stats.sem(a)
h = se * scipy.stats.t.ppf((1 + confidence) / 2.... | 27.25 | 95 | 0.565888 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 166 | 0.069224 |
273feec7e2e1888ae2ab4fb11f3421c980ee0353 | 4,844 | py | Python | skutil/preprocessing/tests/test_balance.py | tgsmith61591/pynorm | 672e353a721036791e1e32250879c3276961e05a | [
"BSD-3-Clause"
] | 38 | 2016-08-31T19:24:13.000Z | 2021-06-28T17:10:20.000Z | skutil/preprocessing/tests/test_balance.py | tgsmith61591/pynorm | 672e353a721036791e1e32250879c3276961e05a | [
"BSD-3-Clause"
] | 42 | 2016-06-20T19:07:21.000Z | 2017-10-29T20:53:11.000Z | skutil/preprocessing/tests/test_balance.py | tgsmith61591/pynorm | 672e353a721036791e1e32250879c3276961e05a | [
"BSD-3-Clause"
] | 17 | 2016-06-27T18:07:53.000Z | 2019-04-09T12:33:59.000Z | from __future__ import print_function
import pandas as pd
import numpy as np
from sklearn.datasets import load_iris
from skutil.preprocessing import *
from skutil.preprocessing.balance import _BaseBalancer
from numpy.testing import assert_array_equal
from skutil.testing import assert_fails
import warnings
# Def data f... | 27.367232 | 93 | 0.635632 | 244 | 0.050372 | 0 | 0 | 0 | 0 | 0 | 0 | 597 | 0.123245 |
2740e363aa1f94977ef475388c48f61555bf5a1a | 754 | py | Python | hard-gists/5017218/snippet.py | jjhenkel/dockerizeme | eaa4fe5366f6b9adf74399eab01c712cacaeb279 | [
"Apache-2.0"
] | 21 | 2019-07-08T08:26:45.000Z | 2022-01-24T23:53:25.000Z | hard-gists/5017218/snippet.py | jjhenkel/dockerizeme | eaa4fe5366f6b9adf74399eab01c712cacaeb279 | [
"Apache-2.0"
] | 5 | 2019-06-15T14:47:47.000Z | 2022-02-26T05:02:56.000Z | hard-gists/5017218/snippet.py | jjhenkel/dockerizeme | eaa4fe5366f6b9adf74399eab01c712cacaeb279 | [
"Apache-2.0"
] | 17 | 2019-05-16T03:50:34.000Z | 2021-01-14T14:35:12.000Z | #!/usr/bin/env python
from Crypto.Cipher import AES
from Crypto.Util.strxor import strxor
from binascii import hexlify
K = '0123456789abcdef'
cipher = AES.new(K, AES.MODE_ECB)
# Original Message
M1 = K
M2 = K
Cm0 = cipher.encrypt('\0' * AES.block_size)
Cm1 = cipher.encrypt(strxor(Cm0,M1))
Tm = Cm2 = cipher.encrypt(s... | 25.133333 | 47 | 0.709549 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 199 | 0.263926 |
274247c350250c602de94ec641a4010f931234e4 | 3,540 | py | Python | options/running_options.py | kwshh/ImageDeconvlution | 561468463372a5727b553efa0330fc75901e29fc | [
"MIT"
] | 25 | 2019-05-10T13:51:25.000Z | 2021-10-13T01:35:43.000Z | options/running_options.py | kwshh/ImageDeconvlution | 561468463372a5727b553efa0330fc75901e29fc | [
"MIT"
] | 8 | 2019-05-10T13:51:07.000Z | 2021-06-03T07:13:28.000Z | options/running_options.py | kwshh/ImageDeconvlution | 561468463372a5727b553efa0330fc75901e29fc | [
"MIT"
] | 7 | 2020-08-15T09:16:11.000Z | 2021-07-06T21:54:20.000Z | import argparse
def str2bool(v):
if v.lower() in ('yes', 'true', 't', 'y', '1'):
return True
elif v.lower() in ('no', 'false', 'f', 'n', '0'):
return False
else:
raise argparse.ArgumentTypeError('Boolean value expected.')
class Options():
def __init__(self):
"""Reset t... | 41.647059 | 110 | 0.487288 | 3,277 | 0.925706 | 0 | 0 | 0 | 0 | 0 | 0 | 924 | 0.261017 |
2743e4857e6a05d46ea22a4c0d0bcac87b1eae86 | 982 | py | Python | python/scanr_doiresolver-0.10/scanr_doiresolver/main.py | dataesr/scanr-backend | 39681be69b9a96b4a07b9410754c897cd5b65c24 | [
"MIT"
] | null | null | null | python/scanr_doiresolver-0.10/scanr_doiresolver/main.py | dataesr/scanr-backend | 39681be69b9a96b4a07b9410754c897cd5b65c24 | [
"MIT"
] | null | null | null | python/scanr_doiresolver-0.10/scanr_doiresolver/main.py | dataesr/scanr-backend | 39681be69b9a96b4a07b9410754c897cd5b65c24 | [
"MIT"
] | null | null | null | import json
from companies_plugin import extractor
from companies_plugin.utils import add_logger
from scanr_doiresolver import LIB_PATH
from scanr_doiresolver.resolver import resolve_publications
@add_logger
class Extractor(extractor.Extractor):
def extract(self, headers, properties, message):
"""
... | 30.6875 | 96 | 0.602851 | 518 | 0.527495 | 0 | 0 | 530 | 0.539715 | 0 | 0 | 242 | 0.246436 |
27453b9db08872e055996422f63acffb64350e41 | 361 | py | Python | examples/03additionals/legacy_score.py | dotness/swagger-marshmallow-codegen | 62938d780672d754431d50bde3eae04abefb64f1 | [
"MIT"
] | null | null | null | examples/03additionals/legacy_score.py | dotness/swagger-marshmallow-codegen | 62938d780672d754431d50bde3eae04abefb64f1 | [
"MIT"
] | null | null | null | examples/03additionals/legacy_score.py | dotness/swagger-marshmallow-codegen | 62938d780672d754431d50bde3eae04abefb64f1 | [
"MIT"
] | null | null | null | # -*- coding:utf-8 -*-
# this is auto-generated by swagger-marshmallow-codegen
from swagger_marshmallow_codegen.schema.legacy import (
AdditionalPropertiesSchema,
LegacySchema
)
from marshmallow import fields
class Score(AdditionalPropertiesSchema):
name = fields.String(required=True)
class Meta:
... | 24.066667 | 55 | 0.753463 | 141 | 0.390582 | 0 | 0 | 0 | 0 | 0 | 0 | 77 | 0.213296 |
2746d32e08d6ab65d2525605b064c6bb89db2db5 | 1,280 | py | Python | tests/bigwig/test_create_bigwigs.py | BioinformaticsMaterials/epic | d601f2384784ea38f5de8c25156be4c8d9ef2fff | [
"MIT"
] | null | null | null | tests/bigwig/test_create_bigwigs.py | BioinformaticsMaterials/epic | d601f2384784ea38f5de8c25156be4c8d9ef2fff | [
"MIT"
] | null | null | null | tests/bigwig/test_create_bigwigs.py | BioinformaticsMaterials/epic | d601f2384784ea38f5de8c25156be4c8d9ef2fff | [
"MIT"
] | null | null | null | import pytest
import pandas as pd
import numpy as np
from os import stat
from io import StringIO
from epic.bigwig.create_bigwigs import _create_bigwig
from epic.config.genomes import create_genome_size_dict
@pytest.fixture
def input_data():
contents = u"""Chromosome Bin End examples/test.bed
chr1 887600 887799 ... | 21.333333 | 76 | 0.767969 | 0 | 0 | 0 | 0 | 1,062 | 0.829688 | 0 | 0 | 508 | 0.396875 |
27484ca2bc8228c9f67c0d19e4ae6ba4c2b57e35 | 555 | py | Python | tests/solvers/__init__.py | neuyhwu/MIPLearn | c6b31a827d6c6e682d45171f21478162c0bc46d6 | [
"BSD-3-Clause"
] | 64 | 2020-02-27T01:24:40.000Z | 2022-03-31T12:38:56.000Z | tests/solvers/__init__.py | neuyhwu/MIPLearn | c6b31a827d6c6e682d45171f21478162c0bc46d6 | [
"BSD-3-Clause"
] | 3 | 2020-04-07T14:43:31.000Z | 2021-01-15T14:02:01.000Z | tests/solvers/__init__.py | zclab/MIPLearn | 9bd64c885aa645d41c30fa0ec4e0eedfaf703dac | [
"BSD-3-Clause"
] | 13 | 2020-03-30T16:41:38.000Z | 2022-02-17T15:38:01.000Z | # MIPLearn: Extensible Framework for Learning-Enhanced Mixed-Integer Optimization
# Copyright (C) 2020-2021, UChicago Argonne, LLC. All rights reserved.
# Released under the modified BSD license. See COPYING.md for more details.
from io import StringIO
from miplearn.solvers import _RedirectOutput
def test_redirec... | 30.833333 | 82 | 0.731532 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 257 | 0.463063 |
27486b3592aa44c1f3081be500edb4d9d40e6414 | 1,717 | py | Python | QuantumBlack Machine Learning Software Engineer 2019/Correlation.py | sivolko/codeforce | 4b00c4c012780036e56d2f0e79adb2f5db7559df | [
"MIT"
] | 3 | 2021-04-21T07:11:33.000Z | 2022-01-09T00:05:55.000Z | InterviewChallenges/QuantumBlack Machine Learning Software Engineer 2019/Correlation.py | sweetpand/Algorithms | 2e4dcf2d42de25531fae5b4ec0d96ce100043117 | [
"MIT"
] | null | null | null | InterviewChallenges/QuantumBlack Machine Learning Software Engineer 2019/Correlation.py | sweetpand/Algorithms | 2e4dcf2d42de25531fae5b4ec0d96ce100043117 | [
"MIT"
] | null | null | null | import math
def Correlation(scores):
physics = []
maths = []
chemistry = []
for each_scores in scores:
values = each_scores.split("\t")
maths.append(int(values[0]))
physics.append(int(values[1]))
chemistry.append(int(values[2]))
length = len(physics)
value1 = ... | 33.019231 | 115 | 0.638905 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 527 | 0.306931 |
27487403a3d7b9e65ea004d6b9bb66d14163ac93 | 2,617 | py | Python | utest/test_iinekoko_db.py | MizunagiKB/IIneKoKo | 495ae6dc2887bb8b41331fab1f21812368400cf2 | [
"MIT"
] | null | null | null | utest/test_iinekoko_db.py | MizunagiKB/IIneKoKo | 495ae6dc2887bb8b41331fab1f21812368400cf2 | [
"MIT"
] | null | null | null | utest/test_iinekoko_db.py | MizunagiKB/IIneKoKo | 495ae6dc2887bb8b41331fab1f21812368400cf2 | [
"MIT"
] | null | null | null | import sys
import unittest
import configparser
sys.path.append("./svc")
class CIIneKoKo_DB(unittest.TestCase):
def setUp(self):
import iinekoko_db
self.o_conf = configparser.ConfigParser()
self.o_conf.read("./svc/config.ini")
self.o_conn = iinekoko_db.CDatabase(self.o_conf)
d... | 29.077778 | 79 | 0.632404 | 2,531 | 0.967138 | 0 | 0 | 0 | 0 | 0 | 0 | 2,276 | 0.869698 |
2748a53e6b912bda05b5145d677d95d85ebd3529 | 987 | py | Python | Champion.py | KhangOP/PaladinsAssistantBot | 9b705dc688610ba52909f0b0e152d8684006c6a6 | [
"MIT"
] | null | null | null | Champion.py | KhangOP/PaladinsAssistantBot | 9b705dc688610ba52909f0b0e152d8684006c6a6 | [
"MIT"
] | null | null | null | Champion.py | KhangOP/PaladinsAssistantBot | 9b705dc688610ba52909f0b0e152d8684006c6a6 | [
"MIT"
] | null | null | null | # Class to store champion names in one location
class Champion:
"""Champions in Paladins"""
DAMAGES = ["Cassie", "Kinessa", "Drogoz", "Bomb King", "Viktor", "Sha Lin", "Tyra", "Willo", "Lian", "Strix",
"Vivian", "Dredge", "Imani", "Tiberius"]
FLANKS = ["Skye", "Buck", "Evie", "Androxus", "Mae... | 42.913043 | 116 | 0.566363 | 938 | 0.950355 | 0 | 0 | 0 | 0 | 0 | 0 | 432 | 0.43769 |
27491dfc485679f55f2ea50c1629c408b70c365b | 2,292 | py | Python | src/gpuz/data_helper.py | scalasm/gpuz-log-analysis | c9a6dd46bf8a12120c9d284411c5b1562b97fdfd | [
"Apache-2.0"
] | null | null | null | src/gpuz/data_helper.py | scalasm/gpuz-log-analysis | c9a6dd46bf8a12120c9d284411c5b1562b97fdfd | [
"Apache-2.0"
] | null | null | null | src/gpuz/data_helper.py | scalasm/gpuz-log-analysis | c9a6dd46bf8a12120c9d284411c5b1562b97fdfd | [
"Apache-2.0"
] | null | null | null | import logging
from typing import Optional, List, Any
import gpuz.utility as utility
from pathlib import Path
import os
import pandas as pd
from pandas.core.frame import DataFrame
import numpy as np
import matplotlib as mp
logger: logging.Logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
class D... | 32.742857 | 94 | 0.665794 | 1,783 | 0.777923 | 0 | 0 | 184 | 0.080279 | 0 | 0 | 338 | 0.147469 |
274a678ce7ef66ccf7cfb21453ee41a8617d1632 | 4,173 | py | Python | m5-101/content/solutions/web-crawler/section1&2&3.py | PaulCCCCCCH/m5-101 | 81201b00cd81c1747ea0cd5f042a09eda02d6d1c | [
"MIT"
] | 4 | 2021-03-25T13:15:38.000Z | 2021-11-10T12:29:19.000Z | m5-101/content/solutions/web-crawler/section1&2&3.py | PaulCCCCCCH/m5-101 | 81201b00cd81c1747ea0cd5f042a09eda02d6d1c | [
"MIT"
] | null | null | null | m5-101/content/solutions/web-crawler/section1&2&3.py | PaulCCCCCCH/m5-101 | 81201b00cd81c1747ea0cd5f042a09eda02d6d1c | [
"MIT"
] | 4 | 2021-03-25T13:18:10.000Z | 2021-04-08T13:44:48.000Z | from posix import listdir
import requests
from bs4 import BeautifulSoup as bs
import math
import sys, getopt
import re
import os
def re_cleaner(target: str, rep: str) -> str:
return re.sub("[^0-9a-zA-Z]+", rep, target)
# For Oxford ==============================================================================
... | 32.601563 | 163 | 0.578481 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,176 | 0.737404 |
274f3dedfd8af9c5162a6375c14921ce4ca86095 | 6,319 | py | Python | sandbox/andrew/run_trpo_strike.py | leopauly/Observation-Learning-Simulations | 462c04a87c45aae51537b8ea5b44646afa31d3a5 | [
"MIT"
] | 49 | 2017-12-11T11:00:02.000Z | 2022-03-30T05:19:31.000Z | sandbox/andrew/run_trpo_strike.py | leopauly/Observation-Learning-Simulations | 462c04a87c45aae51537b8ea5b44646afa31d3a5 | [
"MIT"
] | 2 | 2018-01-01T17:39:56.000Z | 2019-07-24T04:49:08.000Z | sandbox/andrew/run_trpo_strike.py | leopauly/Observation-Learning-Simulations | 462c04a87c45aae51537b8ea5b44646afa31d3a5 | [
"MIT"
] | 12 | 2017-12-13T11:52:17.000Z | 2020-12-03T00:53:29.000Z | import os
from rllab.baselines.linear_feature_baseline import LinearFeatureBaseline
# from rllab.envs.mujoco.gather.swimmer_gather_env import SwimmerGatherEnv
os.environ["THEANO_FLAGS"] = "device=cpu"
from rllab.envs.gym_env import GymEnv
from rllab.envs.normalized_env import normalize
from rllab.policies.gaussian_mlp... | 37.613095 | 100 | 0.547238 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,336 | 0.211426 |
274fe43fa546672495660673160348de8f0a6c2e | 17,257 | py | Python | bpmfwfft/fft_sampling.py | jimtufts/bpmfwfft | 091d2269b122f00b9dd8a01e34303e3e946f8ea0 | [
"MIT"
] | null | null | null | bpmfwfft/fft_sampling.py | jimtufts/bpmfwfft | 091d2269b122f00b9dd8a01e34303e3e946f8ea0 | [
"MIT"
] | null | null | null | bpmfwfft/fft_sampling.py | jimtufts/bpmfwfft | 091d2269b122f00b9dd8a01e34303e3e946f8ea0 | [
"MIT"
] | null | null | null | """
This is to generate interaction energies and corresponding translational vectors,
given a fixed receptor and an ensemble of ligand coordinates (including rotations and/or configurations)
"""
from __future__ import print_function
import numpy as np
import netCDF4
try:
from bpmfwfft.grids import RecGrid
fr... | 42.296569 | 134 | 0.665121 | 15,119 | 0.876108 | 0 | 0 | 0 | 0 | 0 | 0 | 4,679 | 0.271136 |
27516da8559c76c6cbc57c679759132dc516e07e | 6,241 | py | Python | kotori/config.py | joshuaavalon/kotori | 3e7e1cf7b2c1834aea9a9404e80a53f8282aba1b | [
"Apache-2.0"
] | null | null | null | kotori/config.py | joshuaavalon/kotori | 3e7e1cf7b2c1834aea9a9404e80a53f8282aba1b | [
"Apache-2.0"
] | null | null | null | kotori/config.py | joshuaavalon/kotori | 3e7e1cf7b2c1834aea9a9404e80a53f8282aba1b | [
"Apache-2.0"
] | null | null | null | import json
import re
from abc import ABC, abstractmethod
from dataclasses import dataclass, field
from os.path import splitext
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple, Type, Union
from PIL import Image
from ruamel.yaml import YAML
from kotori.error import ConfigError
__all__ = [... | 30.296117 | 78 | 0.621054 | 5,667 | 0.908028 | 198 | 0.031726 | 4,286 | 0.686749 | 0 | 0 | 472 | 0.075629 |
27542459664ee95574391c6b162f6e4cf09c76b9 | 4,587 | py | Python | parser_utils.py | fgypas/panoptes | d85bf83905fd0e546cce11e00d4daf4da2199fbf | [
"MIT"
] | 1 | 2019-11-03T22:08:19.000Z | 2019-11-03T22:08:19.000Z | parser_utils.py | fgypas/panoptes | d85bf83905fd0e546cce11e00d4daf4da2199fbf | [
"MIT"
] | 27 | 2019-10-23T19:24:38.000Z | 2022-02-10T19:40:24.000Z | parser_utils.py | fgypas/panoptes | d85bf83905fd0e546cce11e00d4daf4da2199fbf | [
"MIT"
] | null | null | null | import os
import re
from pprint import pprint
from pandas.io.json import json_normalize
import datetime
import argparse
import sys
DATE = 'date'
LEVEL = 'level'
TYPE = 'type'
CLASS = 'class'
MESSAGE = 'message'
def match_date(line):
match_this = ''
matched = re.match(r'\[\w\w\w\s\w\w\w \d\d \d\d:\d\d:\d\d\s\d... | 30.177632 | 106 | 0.480706 | 0 | 0 | 553 | 0.120558 | 0 | 0 | 0 | 0 | 1,155 | 0.251799 |
2755a12d13ff285f1e00c9a95f222cd1d7e6e11b | 71 | py | Python | nimanifold/data/__init__.py | jcreinhold/nimanifold | 21e6546d24304a7ccfdd6a56d7ec47b2527e1c15 | [
"Apache-2.0"
] | null | null | null | nimanifold/data/__init__.py | jcreinhold/nimanifold | 21e6546d24304a7ccfdd6a56d7ec47b2527e1c15 | [
"Apache-2.0"
] | null | null | null | nimanifold/data/__init__.py | jcreinhold/nimanifold | 21e6546d24304a7ccfdd6a56d7ec47b2527e1c15 | [
"Apache-2.0"
] | null | null | null | from nimanifold.data.csv import *
from nimanifold.data.sample import *
| 23.666667 | 36 | 0.802817 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2756a87403668d7d8cbcd575aefad24bc180bbaa | 452 | py | Python | Simulations/Test.py | BoettigerLab/polychrom | b9d6b0e0f1a62def13ac28a32232c33628e43dae | [
"MIT"
] | null | null | null | Simulations/Test.py | BoettigerLab/polychrom | b9d6b0e0f1a62def13ac28a32232c33628e43dae | [
"MIT"
] | null | null | null | Simulations/Test.py | BoettigerLab/polychrom | b9d6b0e0f1a62def13ac28a32232c33628e43dae | [
"MIT"
] | null | null | null | import sys
import os
import numpy as np
import ast
import pandas as pd
from LEBondUpdater import bondUpdater
import polychrom
from polychrom.starting_conformations import grow_cubic
from polychrom.hdf5_format import HDF5Reporter, list_URIs, load_URI, load_hdf5_file
from polychrom.simulation import Simulation
from pol... | 21.52381 | 83 | 0.85177 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.022124 |
27574dceb612771ac763cff0815e740d67568d21 | 373 | py | Python | deca/gui/deca_interfaces.py | kk49/deca | 8a03ea5d1b7ae0d787638f1797b6e2cb46de4bae | [
"MIT"
] | 50 | 2019-06-05T04:01:04.000Z | 2022-03-05T14:56:43.000Z | deca/gui/deca_interfaces.py | kk49/deca | 8a03ea5d1b7ae0d787638f1797b6e2cb46de4bae | [
"MIT"
] | 115 | 2019-03-27T13:34:00.000Z | 2022-03-11T23:43:12.000Z | deca/gui/deca_interfaces.py | kk49/deca | 8a03ea5d1b7ae0d787638f1797b6e2cb46de4bae | [
"MIT"
] | 13 | 2020-01-25T01:15:49.000Z | 2022-02-08T02:20:05.000Z | from PySide2.QtCore import Signal
from PySide2.QtWidgets import QWidget
from deca.db_view import VfsView
class IVfsViewSrc(QWidget):
signal_visible_changed = Signal(VfsView)
signal_selection_changed = Signal(VfsView)
def vfs_get(self):
return None
def vfs_view_get(self):
return None
... | 20.722222 | 46 | 0.723861 | 265 | 0.710456 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2758815a9272e4ba22d391476a74de67b2fc6c02 | 7,746 | py | Python | python/beached_probability.py | OceanParcels/BayesianAnalysis_SouthAtlantic | a808896ea9104931a6ad625531231525c6c12826 | [
"MIT"
] | 1 | 2022-01-12T08:24:14.000Z | 2022-01-12T08:24:14.000Z | python/beached_probability.py | OceanParcels/BayesianAnalysis_SouthAtlantic | a808896ea9104931a6ad625531231525c6c12826 | [
"MIT"
] | null | null | null | python/beached_probability.py | OceanParcels/BayesianAnalysis_SouthAtlantic | a808896ea9104931a6ad625531231525c6c12826 | [
"MIT"
] | null | null | null | """
Computes the probability field of beached particles from Ocean Parcels
simulations. Computes the posterior probability in the latitude of the beached
particles.
"""
import numpy as np
import xarray as xr
import pandas as pd
import os
def time_averaging_coast(array, window=30):
"""It averages the counts_americ... | 35.53211 | 79 | 0.572941 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,341 | 0.431319 |
2759eded27b5f65ad495b43a6846ccc30736fba9 | 2,985 | py | Python | models/cam_decoder.py | BwCai/DCAA-UDA | 359c2122060aebfbe4384c918768c261fe2dc9c7 | [
"Apache-2.0"
] | 2 | 2022-01-28T10:35:53.000Z | 2022-03-09T14:38:59.000Z | models/cam_decoder.py | BwCai/DCAA-UDA | 359c2122060aebfbe4384c918768c261fe2dc9c7 | [
"Apache-2.0"
] | 1 | 2022-03-07T10:48:11.000Z | 2022-03-07T10:48:11.000Z | models/cam_decoder.py | BwCai/DCAA-UDA | 359c2122060aebfbe4384c918768c261fe2dc9c7 | [
"Apache-2.0"
] | null | null | null | import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from models.sync_batchnorm.batchnorm import SynchronizedBatchNorm2d
from models.aspp import build_aspp
from models.decoder import build_decoder
import pdb
class AttentionDecoder(nn.Module):
def __init__(self, num_classes, modal_num, bac... | 37.78481 | 98 | 0.59665 | 2,601 | 0.871357 | 0 | 0 | 0 | 0 | 0 | 0 | 113 | 0.037856 |
275bb771b2d649e2d94b8d769d96499bc3dc8e16 | 2,505 | py | Python | src/server/noize_reduction.py | kikuchiken-waseda/MRIVuewer | 66cfe30d006b6491a093a9dfab5b538c5e49409e | [
"MIT"
] | null | null | null | src/server/noize_reduction.py | kikuchiken-waseda/MRIVuewer | 66cfe30d006b6491a093a9dfab5b538c5e49409e | [
"MIT"
] | 23 | 2020-02-11T19:13:24.000Z | 2020-05-16T07:49:43.000Z | src/server/noize_reduction.py | kikuchiken-waseda/MRIVuewer | 66cfe30d006b6491a093a9dfab5b538c5e49409e | [
"MIT"
] | null | null | null | import scipy as sp
from pyssp.util import (
get_frame, add_signal, compute_avgpowerspectrum
)
def writeWav(param, signal, filename):
import wave
with wave.open(filename, 'wb') as wf:
wf.setparams(param)
s = sp.int16(signal * 32767.0).tostring()
wf.writeframes(s)
def jointMap(sign... | 30.54878 | 77 | 0.621158 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 102 | 0.040719 |
275bf3b0ea75846995ad189f786825044efb445e | 4,940 | py | Python | chord_rec/harmalysis/classes/scale.py | TianxueHu/ChordSymbolRec | d64a5be4f4914e6f682cb6d4079d7ba8a6fc2eac | [
"Unlicense",
"MIT"
] | null | null | null | chord_rec/harmalysis/classes/scale.py | TianxueHu/ChordSymbolRec | d64a5be4f4914e6f682cb6d4079d7ba8a6fc2eac | [
"Unlicense",
"MIT"
] | null | null | null | chord_rec/harmalysis/classes/scale.py | TianxueHu/ChordSymbolRec | d64a5be4f4914e6f682cb6d4079d7ba8a6fc2eac | [
"Unlicense",
"MIT"
] | null | null | null | '''
harmalysis - a language for harmonic analysis and roman numerals
Copyright (C) 2020 Nestor Napoles Lopez
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of t... | 35.285714 | 84 | 0.411943 | 4,088 | 0.82753 | 0 | 0 | 0 | 0 | 0 | 0 | 1,615 | 0.326923 |
275c01a7663aa8d447750578c192b3d7fd40d88b | 1,335 | py | Python | airq/api/crypto.py | dwightmulcahy/airq | 82e97825f70852d7fab973e498ef71345e1ed422 | [
"MIT"
] | 6 | 2020-11-25T10:34:52.000Z | 2022-02-18T22:22:12.000Z | airq/api/crypto.py | dwightmulcahy/airq | 82e97825f70852d7fab973e498ef71345e1ed422 | [
"MIT"
] | 6 | 2021-10-15T06:49:14.000Z | 2021-11-09T20:30:01.000Z | airq/api/crypto.py | dwightmulcahy/airq | 82e97825f70852d7fab973e498ef71345e1ed422 | [
"MIT"
] | 2 | 2021-04-18T03:11:35.000Z | 2022-01-01T23:02:51.000Z | import hashlib
from Crypto.Cipher import AES
class Crypto:
SALT = "@uhooinc.com"
def __init__(self, clientCode):
self.key = hashlib.md5(
clientCode.encode("utf-8")
).digest() # initialization key
self.length = AES.block_size # Initialize the block size
self.aes =... | 32.560976 | 112 | 0.597753 | 1,287 | 0.964045 | 0 | 0 | 0 | 0 | 0 | 0 | 318 | 0.238202 |
275c77321e139727fd234a2be346f888681c1954 | 8,350 | py | Python | idaes/apps/caprese/examples/cstr_rodrigo/nmpc_main.py | Robbybp/idaes-pse | 8a41dbd05819f82806cf17a6e5f06aef79a775e3 | [
"RSA-MD"
] | null | null | null | idaes/apps/caprese/examples/cstr_rodrigo/nmpc_main.py | Robbybp/idaes-pse | 8a41dbd05819f82806cf17a6e5f06aef79a775e3 | [
"RSA-MD"
] | 2 | 2021-08-18T19:42:02.000Z | 2021-10-22T04:44:31.000Z | idaes/apps/caprese/examples/cstr_rodrigo/nmpc_main.py | Robbybp/idaes-pse | 8a41dbd05819f82806cf17a6e5f06aef79a775e3 | [
"RSA-MD"
] | 1 | 2021-03-17T20:31:17.000Z | 2021-03-17T20:31:17.000Z | ##############################################################################
# Institute for the Design of Advanced Energy Systems Process Systems
# Engineering Framework (IDAES PSE Framework) Copyright (c) 2018-2019, by the
# software owners: The Regents of the University of California, through
# Lawrence Berkeley N... | 38.127854 | 82 | 0.623713 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,174 | 0.260359 |
275e2811cd73b93eae3878d64929106994338a2d | 1,642 | py | Python | apps/scheduler/migrations/0008_current_task.py | techlib/czechelib-stats | ca132e326af0924740a525710474870b1fb5fd37 | [
"MIT"
] | 1 | 2019-12-12T15:38:42.000Z | 2019-12-12T15:38:42.000Z | apps/scheduler/migrations/0008_current_task.py | techlib/czechelib-stats | ca132e326af0924740a525710474870b1fb5fd37 | [
"MIT"
] | null | null | null | apps/scheduler/migrations/0008_current_task.py | techlib/czechelib-stats | ca132e326af0924740a525710474870b1fb5fd37 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.3 on 2020-11-23 15:06
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('scheduler', '0007_fetchintention_one_to_one_attempt'),
]
operations = [
migrations.AddField(
mo... | 30.407407 | 85 | 0.54933 | 1,516 | 0.923264 | 0 | 0 | 0 | 0 | 0 | 0 | 362 | 0.220463 |
275e8507ce35dccac0615b8d962c545d75b3823a | 2,555 | py | Python | connect_four/transposition/sqlite_transposition_table_test.py | rpachauri/connect4 | 6caf6965afaaff6883193ac295c6ac5b1f4e9c4a | [
"MIT"
] | null | null | null | connect_four/transposition/sqlite_transposition_table_test.py | rpachauri/connect4 | 6caf6965afaaff6883193ac295c6ac5b1f4e9c4a | [
"MIT"
] | null | null | null | connect_four/transposition/sqlite_transposition_table_test.py | rpachauri/connect4 | 6caf6965afaaff6883193ac295c6ac5b1f4e9c4a | [
"MIT"
] | null | null | null | import unittest
import gym
import numpy as np
from connect_four.hashing import TicTacToeHasher
from connect_four.transposition.sqlite_transposition_table import SQLiteTranspositionTable
class TestSQLiteTranspositionTable(unittest.TestCase):
def setUp(self) -> None:
self.env = gym.make('tic_tac_toe-v0')
... | 30.416667 | 90 | 0.523288 | 2,315 | 0.906067 | 0 | 0 | 0 | 0 | 0 | 0 | 78 | 0.030528 |
275ea88f14a647fe3701cbe45b6f30ea2d89fba6 | 1,226 | py | Python | test/unittests/study/mri/test_mc.py | szho42/banana | 131804803e6293716e9d11cbb6f3ca244b2931f9 | [
"Apache-2.0"
] | null | null | null | test/unittests/study/mri/test_mc.py | szho42/banana | 131804803e6293716e9d11cbb6f3ca244b2931f9 | [
"Apache-2.0"
] | null | null | null | test/unittests/study/mri/test_mc.py | szho42/banana | 131804803e6293716e9d11cbb6f3ca244b2931f9 | [
"Apache-2.0"
] | null | null | null | from nipype import config
config.enable_debug_mode()
from banana.testing import BaseTestCase as TestCase # @IgnorePep8 @Reimport
# from banana.study.multimodal.test_motion_detection import ( # @IgnorePep8 @Reimport
# MotionDetection, inputs)
from banana.study.multimodal.mrpet import create_motion_correction_class... | 32.263158 | 97 | 0.681892 | 754 | 0.615008 | 0 | 0 | 0 | 0 | 0 | 0 | 539 | 0.439641 |
275f0b6cee294c3156bfba77754c517b6dc76211 | 162 | py | Python | dgbpy/__init__.py | maxprop/dgbpy | 05d0900b0fb2cb612b298c8c78f0f84640a38c4e | [
"Apache-2.0"
] | 7 | 2021-11-18T18:03:46.000Z | 2022-02-09T06:55:50.000Z | dgbpy/__init__.py | maxprop/dgbpy | 05d0900b0fb2cb612b298c8c78f0f84640a38c4e | [
"Apache-2.0"
] | null | null | null | dgbpy/__init__.py | maxprop/dgbpy | 05d0900b0fb2cb612b298c8c78f0f84640a38c4e | [
"Apache-2.0"
] | 1 | 2022-03-18T06:55:55.000Z | 2022-03-18T06:55:55.000Z | #
# (C) dGB Beheer B.V.; (LICENSE) http://opendtect.org/OpendTect_license.txt
# AUTHOR : Bert
# DATE : August 2018
#
# Module init
#
__version__ = '1.0.0'
| 16.2 | 75 | 0.635802 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 139 | 0.858025 |
27616031c83ae4189c96219a4ca18b7e0e254aed | 1,052 | py | Python | tests/test_country_service.py | gothill/python-fedex | 62dc8f554babd7066d6c6e7c478944f30fc2b75b | [
"BSD-3-Clause"
] | 100 | 2016-01-22T23:46:10.000Z | 2022-03-26T05:00:53.000Z | tests/test_country_service.py | gothill/python-fedex | 62dc8f554babd7066d6c6e7c478944f30fc2b75b | [
"BSD-3-Clause"
] | 77 | 2016-01-19T06:10:22.000Z | 2022-03-26T06:04:14.000Z | tests/test_country_service.py | gothill/python-fedex | 62dc8f554babd7066d6c6e7c478944f30fc2b75b | [
"BSD-3-Clause"
] | 102 | 2016-02-08T23:28:45.000Z | 2022-02-28T11:37:27.000Z | """
Test module for the Fedex CountryService WSDL.
"""
import unittest
import logging
import sys
sys.path.insert(0, '..')
from fedex.services.country_service import FedexValidatePostalRequest
# Common global config object for testing.
from tests.common import get_fedex_config
CONFIG_OBJ = get_fedex_config()
loggin... | 25.658537 | 75 | 0.742395 | 447 | 0.424905 | 0 | 0 | 523 | 0.497148 | 0 | 0 | 251 | 0.238593 |
27621f7f93d71cdc400cae5017e3588d01c3c114 | 3,730 | py | Python | setup_tools/getkucore.py | dougmassay/kindleunpack-calibre-plugin | 906fc3820a9b1c179fc754ae5774ebe689a61419 | [
"Unlicense",
"MIT"
] | 101 | 2015-03-24T10:29:15.000Z | 2022-03-25T07:15:45.000Z | setup_tools/getkucore.py | dougmassay/kindleunpack-calibre-plugin | 906fc3820a9b1c179fc754ae5774ebe689a61419 | [
"Unlicense",
"MIT"
] | 3 | 2016-09-14T10:47:02.000Z | 2018-01-09T13:32:29.000Z | setup_tools/getkucore.py | dougmassay/kindleunpack-calibre-plugin | 906fc3820a9b1c179fc754ae5774ebe689a61419 | [
"Unlicense",
"MIT"
] | 13 | 2015-09-28T07:05:18.000Z | 2022-02-13T15:16:13.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# vim:ts=4:sw=4:softtabstop=4:smarttab:expandtab
from __future__ import unicode_literals, division, absolute_import, print_function
import os
import sys
import shutil
import inspect
import glob
import zipfile
import pythonpatch
if sys.version_info >= (3,):
import url... | 36.930693 | 95 | 0.627346 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 821 | 0.220107 |
2764c5afd2309a3e37c20e039e1d0182465889f2 | 5,696 | py | Python | pymoku/_oscilloscope_data.py | liquidinstruments/pymoku | a10c2516e5953722a5f5b52aec7944bec22492c2 | [
"MIT"
] | 11 | 2016-10-11T04:37:14.000Z | 2021-09-10T02:34:03.000Z | pymoku/_oscilloscope_data.py | liquidinstruments/pymoku | a10c2516e5953722a5f5b52aec7944bec22492c2 | [
"MIT"
] | 8 | 2017-06-02T18:19:49.000Z | 2020-09-07T06:15:53.000Z | pymoku/_oscilloscope_data.py | liquidinstruments/pymoku | a10c2516e5953722a5f5b52aec7944bec22492c2 | [
"MIT"
] | 11 | 2018-07-12T04:18:40.000Z | 2022-03-04T10:10:48.000Z | import struct
from pymoku import _frame_instrument
_OSC_SCREEN_WIDTH = 1024
class VoltsData(_frame_instrument.InstrumentData):
"""
Object representing a frame of dual-channel data in units of Volts, and
time in units of seconds. This is the native output format of the
:any:`Oscilloscope` instrument.... | 35.6 | 78 | 0.596208 | 5,615 | 0.985779 | 0 | 0 | 0 | 0 | 0 | 0 | 2,298 | 0.403441 |
2764e8cf2af125cde1e1dea98f00be38d0e21369 | 6,205 | py | Python | FlightRisingColiseum/Bot_FR.py | Eternal05/Flightrising-Coliseum-Bot | 8f4895ff8a2d5533fe6a6546e09361738fd54910 | [
"MIT"
] | 1 | 2021-05-17T02:52:40.000Z | 2021-05-17T02:52:40.000Z | FlightRisingColiseum/Bot_FR.py | Eternal05/Flightrising-Coliseum-Bot | 8f4895ff8a2d5533fe6a6546e09361738fd54910 | [
"MIT"
] | null | null | null | FlightRisingColiseum/Bot_FR.py | Eternal05/Flightrising-Coliseum-Bot | 8f4895ff8a2d5533fe6a6546e09361738fd54910 | [
"MIT"
] | null | null | null | import os
from PIL import ImageGrab
import time
import win32api, win32con
from PIL import ImageOps
from numpy import *
import pyautogui
import random
from ctypes import windll
user32 = windll.user32
user32.SetProcessDPIAware()
#some sort of DPS problem unrelated to project
#this stops the images from be... | 34.859551 | 134 | 0.604674 | 538 | 0.086704 | 0 | 0 | 0 | 0 | 0 | 0 | 2,516 | 0.405479 |
2764ee38e5ee492d56a5166db4a12d098e304e48 | 6,047 | py | Python | models/layers.py | RemiDelaunay/DeepUSE | fea4220d53583fe3d4e63c870a62b04deb005eda | [
"MIT"
] | 2 | 2021-08-19T07:40:35.000Z | 2022-01-14T18:55:58.000Z | models/layers.py | RemiDelaunay/DeepUSE | fea4220d53583fe3d4e63c870a62b04deb005eda | [
"MIT"
] | null | null | null | models/layers.py | RemiDelaunay/DeepUSE | fea4220d53583fe3d4e63c870a62b04deb005eda | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
class ConvLSTMCell(nn.Module):
"""
Generate a convolutional LSTM cell
Adapted from "RVOS: End-to-End Recurrent Network for Video Object Segmentation"
"""
def __init__(self, input_size, hidden_size... | 38.272152 | 123 | 0.64379 | 5,583 | 0.923268 | 0 | 0 | 0 | 0 | 0 | 0 | 355 | 0.058707 |
2765c7c3e9e989737c9e28cfcc8a7675bc22b1e5 | 907 | py | Python | main.py | denissearenas/face_recognition_image | 63f43ae188cc12ba443d2aeff84959eba95c9049 | [
"MIT"
] | null | null | null | main.py | denissearenas/face_recognition_image | 63f43ae188cc12ba443d2aeff84959eba95c9049 | [
"MIT"
] | null | null | null | main.py | denissearenas/face_recognition_image | 63f43ae188cc12ba443d2aeff84959eba95c9049 | [
"MIT"
] | null | null | null | import logging
from logging.config import fileConfig
import os, os.path
import imageRecognition
#Test Folder
TestFolder = 'WorkingFolder/TestImages/'
# Create the Working folders
working_folders = ['logs','.metadata','WorkingFolder','./Workingfolder/OutputImages']
[os.makedirs(folder) for folder in working_folders... | 24.513514 | 114 | 0.680265 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 190 | 0.209482 |
2768921c04ac38d6998b1d53e7d2b264cb24e683 | 755 | py | Python | Medio 3/ex056.py | Gustavsantos/python1 | 5520f2d2ee591157942008fdcd6bd42eb521f1a6 | [
"MIT"
] | null | null | null | Medio 3/ex056.py | Gustavsantos/python1 | 5520f2d2ee591157942008fdcd6bd42eb521f1a6 | [
"MIT"
] | null | null | null | Medio 3/ex056.py | Gustavsantos/python1 | 5520f2d2ee591157942008fdcd6bd42eb521f1a6 | [
"MIT"
] | null | null | null | total = 0
media = 0
hmais = 0
no = ''
contm = 0
from datetime import date
atual = date.today().year
for p in range(1,5):
print('{}° Pessoa'.format(p))
nome = str(input('Nome: ')).strip().capitalize()
ns = int(input('O ano em que nasceu: '))
sexo = str(input('Sexo: ')).strip().upper()
idade = atual ... | 26.964286 | 67 | 0.564238 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 182 | 0.240423 |
2768edd67418ad70fbc7628b2d0db9a2e7e067b6 | 9,575 | py | Python | modules/cdp.py | experiencedft/defisaver-sim | 1d1f05078efb634286df450b125677a1685a066e | [
"MIT"
] | 13 | 2021-02-01T11:08:21.000Z | 2022-01-13T05:29:11.000Z | modules/cdp.py | experiencedft/defisaver-sim | 1d1f05078efb634286df450b125677a1685a066e | [
"MIT"
] | null | null | null | modules/cdp.py | experiencedft/defisaver-sim | 1d1f05078efb634286df450b125677a1685a066e | [
"MIT"
] | 5 | 2021-01-27T22:01:55.000Z | 2022-02-20T22:14:16.000Z | '''
The CDP module contains all the tools required to simulate a collateralized debt position, such as increasing or decreasing
its leverage (boost and repay), closing the vault to calculate its lifetime profit, adding collateral or drawing more debt.
The position is represented as an object whose methods provide a... | 43.522727 | 129 | 0.593211 | 9,036 | 0.943708 | 0 | 0 | 0 | 0 | 0 | 0 | 5,402 | 0.564178 |
276b88f7bc15b02ea6b733a96f259241381fe73b | 5,683 | py | Python | clustertools/test/test_experiment.py | jm-begon/clustertools | 264198d0ffbd60b883b7b6a2af79341425c7729b | [
"BSD-3-Clause"
] | 7 | 2017-05-31T15:28:28.000Z | 2021-03-25T12:36:48.000Z | clustertools/test/test_experiment.py | jm-begon/clustertools | 264198d0ffbd60b883b7b6a2af79341425c7729b | [
"BSD-3-Clause"
] | 42 | 2017-06-09T07:35:50.000Z | 2019-08-29T15:23:29.000Z | clustertools/test/test_experiment.py | jm-begon/clustertools | 264198d0ffbd60b883b7b6a2af79341425c7729b | [
"BSD-3-Clause"
] | 3 | 2017-05-29T13:39:18.000Z | 2019-06-24T09:43:01.000Z | # -*- coding: utf-8 -*-
from functools import partial
from nose.tools import assert_equal, assert_in, assert_less, assert_raises, \
with_setup, assert_true
from nose.tools import assert_false
from clustertools import ParameterSet, Result, Experiment
from clustertools.state import RunningState, CompletedState, Abo... | 36.664516 | 84 | 0.688193 | 0 | 0 | 0 | 0 | 4,217 | 0.742038 | 0 | 0 | 831 | 0.146226 |
276c363a6f57e3c85d7f037af185d706c5abdf10 | 1,657 | py | Python | ed.py | zzx288/words | 477516211cc43701ec4592a686f0bc06cbb9c141 | [
"MIT"
] | null | null | null | ed.py | zzx288/words | 477516211cc43701ec4592a686f0bc06cbb9c141 | [
"MIT"
] | null | null | null | ed.py | zzx288/words | 477516211cc43701ec4592a686f0bc06cbb9c141 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import codecs
def find_words(words):
split_words={}
count_all = 0
unused_words = u" \t\r\n，。：；、“‘”【】『』|=+-——（）*&……%￥#@！~·《》？/?<>,.;:'\"[]{}_)(^$!`"
unused_english = u"abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890"
for i in u... | 29.589286 | 92 | 0.556427 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 432 | 0.253521 |
276d667a87fa4dfdeb86a4993f51124a0783875c | 2,971 | py | Python | acestream/ACEStream/Plugin/EngineWx.py | GrandPaRPi/p2ptv-pi | 6f79c00f9055a3763ddfe1dc41e14d2cb533f4c3 | [
"MIT"
] | null | null | null | acestream/ACEStream/Plugin/EngineWx.py | GrandPaRPi/p2ptv-pi | 6f79c00f9055a3763ddfe1dc41e14d2cb533f4c3 | [
"MIT"
] | null | null | null | acestream/ACEStream/Plugin/EngineWx.py | GrandPaRPi/p2ptv-pi | 6f79c00f9055a3763ddfe1dc41e14d2cb533f4c3 | [
"MIT"
] | 2 | 2018-04-17T17:34:39.000Z | 2020-07-26T03:43:33.000Z | #Embedded file name: ACEStream\Plugin\EngineWx.pyo
import os
import sys
from traceback import print_exc
try:
import wxversion
wxversion.select('2.8')
except:
pass
try:
import wx
except:
print 'wx is not installed'
os._exit(1)
import ACEStream
from ACEStream.GlobalConfig import globalConfig
fro... | 31.946237 | 113 | 0.672164 | 1,031 | 0.347021 | 0 | 0 | 0 | 0 | 0 | 0 | 249 | 0.08381 |
276d90a94566353b66f7d294a0618d781bcf1b9c | 899 | py | Python | tcp_finite_state/client.py | aakashhemadri/python | 16955810dd1ea491c9ff9c99ee02bd463ba97f0a | [
"MIT"
] | 2 | 2021-01-20T14:08:26.000Z | 2021-10-20T07:56:46.000Z | tcp_finite_state/client.py | aakashhemadri/python | 16955810dd1ea491c9ff9c99ee02bd463ba97f0a | [
"MIT"
] | null | null | null | tcp_finite_state/client.py | aakashhemadri/python | 16955810dd1ea491c9ff9c99ee02bd463ba97f0a | [
"MIT"
] | null | null | null | from tcp_statemachine import TCPStateMachine, Data
import socket
class Client:
"""
Client class
"""
def __init__(self, statemachine, data):
self.ME = 'client'
self.HOST = '127.0.0.1'
self.PORT = 22085
self.ADDRESS = (self.HOST, self.PORT)
self.client_socket = socket.socket()
def run(sel... | 22.475 | 69 | 0.697442 | 681 | 0.757508 | 0 | 0 | 0 | 0 | 0 | 0 | 53 | 0.058954 |
276e00dcc9820a61c4d4ebff8a3b8b4d2a199a5f | 467 | py | Python | HackerRank/MinimumSwaps2.py | kokuraxc/play-ground | 48b5291f3cca117e0cd0a17bf9255ec4dc1a5cdd | [
"MIT"
] | null | null | null | HackerRank/MinimumSwaps2.py | kokuraxc/play-ground | 48b5291f3cca117e0cd0a17bf9255ec4dc1a5cdd | [
"MIT"
] | null | null | null | HackerRank/MinimumSwaps2.py | kokuraxc/play-ground | 48b5291f3cca117e0cd0a17bf9255ec4dc1a5cdd | [
"MIT"
] | null | null | null | # https://www.hackerrank.com/challenges/minimum-swaps-2
# Complete the minimumSwaps function below.
def minimumSwaps(arr):
steps = 0
# for i, a in enumerate(arr):
for i in range(len(arr)):
while arr[i] != i+1:
#arr = [a if x == i+1 else x for x in arr]
#print(arr)
... | 25.944444 | 55 | 0.51606 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 180 | 0.385439 |
277311deb8c817997aeecabf48fe1ce321691cbf | 3,081 | py | Python | source/conf.py | Kinovea/kinovea-docs | a2c4c9561bd4f8cc663efcaaed017c9c018b6b20 | [
"CC0-1.0"
] | 4 | 2020-11-17T18:09:42.000Z | 2021-12-29T07:34:29.000Z | source/conf.py | Kinovea/kinovea-docs | a2c4c9561bd4f8cc663efcaaed017c9c018b6b20 | [
"CC0-1.0"
] | 4 | 2021-07-12T09:41:06.000Z | 2021-11-01T19:22:05.000Z | source/conf.py | Kinovea/kinovea-docs | a2c4c9561bd4f8cc663efcaaed017c9c018b6b20 | [
"CC0-1.0"
] | 1 | 2021-07-12T05:17:47.000Z | 2021-07-12T05:17:47.000Z | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | 30.205882 | 91 | 0.683544 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,368 | 0.768582 |
277376eb0677ba7d0fb6770b5320ed63bd24de63 | 51 | py | Python | 0-hello-world/hello.py | zeyuri/computer-science-and-python-intro | 178ff6647586fb2be716bb3c4796b03310731583 | [
"MIT"
] | null | null | null | 0-hello-world/hello.py | zeyuri/computer-science-and-python-intro | 178ff6647586fb2be716bb3c4796b03310731583 | [
"MIT"
] | null | null | null | 0-hello-world/hello.py | zeyuri/computer-science-and-python-intro | 178ff6647586fb2be716bb3c4796b03310731583 | [
"MIT"
] | null | null | null | msg = "Hello World, i'm coming for you"
print(msg)
| 17 | 39 | 0.686275 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 0.647059 |
2775121ab7502b6919cf78437931035cd8b7a2d9 | 158 | py | Python | src/onegov/user/auth/clients/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/user/auth/clients/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/user/auth/clients/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.user.auth.clients.kerberos import KerberosClient
from onegov.user.auth.clients.ldap import LDAPClient
__all__ = ('KerberosClient', 'LDAPClient')
| 31.6 | 60 | 0.816456 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0.177215 |
27756bad277e04032903ed08ddd795ce38d122b8 | 746 | py | Python | img_utils/files/file.py | DewMaple/image_utils | a0ca6a1b088389f5a70df60623e629634d57065a | [
"MIT"
] | null | null | null | img_utils/files/file.py | DewMaple/image_utils | a0ca6a1b088389f5a70df60623e629634d57065a | [
"MIT"
] | null | null | null | img_utils/files/file.py | DewMaple/image_utils | a0ca6a1b088389f5a70df60623e629634d57065a | [
"MIT"
] | null | null | null | import glob
import os
def images_in_dir(images_dir, file_types=('*.png', '*.jpg', '*.jpeg', '*.gif')):
"""
:param images_dir: directory that contains target images
:param file_types: image files extend
:return: full image file path list
"""
file_names = []
for ext in file_types:
fi... | 23.3125 | 80 | 0.647453 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 354 | 0.474531 |
277599814e255a220a50444d8861eabc112abdd1 | 4,931 | py | Python | financial_fundamentals/xbrl.py | Mahesh-Salunke/financial_fundamentals | 421e7550e2c4b2cc9cc0ee8cb15ce2ad0d89234f | [
"Apache-2.0"
] | 122 | 2015-01-28T17:57:08.000Z | 2022-02-12T12:24:55.000Z | financial_fundamentals/xbrl.py | Mahesh-Salunke/financial_fundamentals | 421e7550e2c4b2cc9cc0ee8cb15ce2ad0d89234f | [
"Apache-2.0"
] | 1 | 2016-11-07T17:02:02.000Z | 2016-11-09T20:51:50.000Z | financial_fundamentals/xbrl.py | Mahesh-Salunke/financial_fundamentals | 421e7550e2c4b2cc9cc0ee8cb15ce2ad0d89234f | [
"Apache-2.0"
] | 49 | 2015-01-01T03:12:27.000Z | 2021-07-06T10:19:31.000Z | '''
Created on Oct 8, 2013
@author: akittredge
'''
import dateutil.parser
import xmltodict
from financial_fundamentals.exceptions import ValueNotInFilingDocument
class XBRLMetricParams(object):
'''Bundle the parameters sufficient to extract a metric from an xbrl document.
'''
def __init__(self, poss... | 34.482517 | 88 | 0.602515 | 4,749 | 0.963091 | 0 | 0 | 1,488 | 0.301764 | 0 | 0 | 536 | 0.1087 |
277624309012d3684e6506d164e645ba545c1547 | 6,235 | py | Python | geospacelab/datahub/sources/wdc/dst/downloader.py | JouleCai/GeoSpaceLab | 6cc498d3c32501e946931de596a840c73e83edb3 | [
"BSD-3-Clause"
] | 19 | 2021-08-07T08:49:22.000Z | 2022-03-02T18:26:30.000Z | geospacelab/datahub/sources/wdc/dst/downloader.py | JouleCai/GeoSpaceLab | 6cc498d3c32501e946931de596a840c73e83edb3 | [
"BSD-3-Clause"
] | 4 | 2021-11-09T05:53:42.000Z | 2022-03-25T11:49:37.000Z | geospacelab/datahub/sources/wdc/dst/downloader.py | JouleCai/GeoSpaceLab | 6cc498d3c32501e946931de596a840c73e83edb3 | [
"BSD-3-Clause"
] | 3 | 2021-11-07T11:41:20.000Z | 2022-02-14T13:43:11.000Z | # Licensed under the BSD 3-Clause License
# Copyright (C) 2021 GeospaceLab (geospacelab)
# Author: Lei Cai, Space Physics and Astronomy, University of Oulu
__author__ = "Lei Cai"
__copyright__ = "Copyright 2021, GeospaceLab"
__license__ = "BSD-3-Clause License"
__email__ = "lei.cai@oulu.fi"
__docformat__ = "reStructur... | 38.018293 | 277 | 0.577225 | 5,112 | 0.819888 | 0 | 0 | 0 | 0 | 0 | 0 | 1,916 | 0.307298 |
277858124203940aedb7475ae3b0715e859459a7 | 914 | py | Python | services/login_service.py | EderBevacqua/OPE_ADS_3C | af6e2a1757c82080dc5f6c1f7759f29f408341cc | [
"Apache-2.0"
] | null | null | null | services/login_service.py | EderBevacqua/OPE_ADS_3C | af6e2a1757c82080dc5f6c1f7759f29f408341cc | [
"Apache-2.0"
] | 6 | 2020-06-14T21:50:25.000Z | 2020-06-15T19:39:01.000Z | services/login_service.py | EderBevacqua/OPE_ADS_4C | af6e2a1757c82080dc5f6c1f7759f29f408341cc | [
"Apache-2.0"
] | null | null | null | from infra.usuario_dao import \
listar as dao_listar, \
consultar as dao_consultar, \
cadastrar as dao_cadastrar, \
alterar as dao_alterar, \
remover as dao_remover,\
loadUserEmail as dao_loadUserEmail,\
validarLogin as dao_validarLogin,\
validaMatriculaUsuario as dao_validaMatriculaUsua... | 30.466667 | 58 | 0.789934 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
27797d81ccdfc4597762321be84ef3aaa9517905 | 421 | py | Python | server/apps/org/permissions.py | iotile/iotile_cloud | 9dc65ac86d3a730bba42108ed7d9bbb963d22ba6 | [
"MIT"
] | null | null | null | server/apps/org/permissions.py | iotile/iotile_cloud | 9dc65ac86d3a730bba42108ed7d9bbb963d22ba6 | [
"MIT"
] | null | null | null | server/apps/org/permissions.py | iotile/iotile_cloud | 9dc65ac86d3a730bba42108ed7d9bbb963d22ba6 | [
"MIT"
] | null | null | null | from rest_framework import permissions
class IsMemberOnly(permissions.BasePermission):
"""
Custom permission to only allow owners of an object to access (read/write)
"""
def has_permission(self, request, view):
return request.user.is_authenticated
def has_object_permission(self, request,... | 32.384615 | 88 | 0.736342 | 380 | 0.902613 | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 0.213777 |
277b82514a7515e164e8b41c060b3213bef8d2d0 | 473 | py | Python | multi_domain/utils.py | newbieyd/multi-domain_NER | 78443f79cebf7c2fe1058bc6ba2dc793d0907574 | [
"Apache-2.0"
] | 3 | 2020-10-26T02:23:57.000Z | 2021-01-28T09:29:35.000Z | multi_domain/utils.py | newbieyd/multi-domain_NER | 78443f79cebf7c2fe1058bc6ba2dc793d0907574 | [
"Apache-2.0"
] | null | null | null | multi_domain/utils.py | newbieyd/multi-domain_NER | 78443f79cebf7c2fe1058bc6ba2dc793d0907574 | [
"Apache-2.0"
] | 1 | 2021-01-28T09:29:39.000Z | 2021-01-28T09:29:39.000Z | import random
import torch
import numpy as np
# 设置随机种子，一旦固定种子，后面依次生成的随机数其实都是固定的
def set_seed(seed):
random.seed(seed)
np.random.seed(seed)
torch.manual_seed(seed)
# 计算评价指标：准确率，召回率，F1值
def calculate(data):
p = -1
r = -1
f1 = -1
if data[0] > 0:
p = data[2] / data[0]... | 19.708333 | 43 | 0.5074 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 149 | 0.262787 |
277c94d5ec87dc5540702d806c2c486ab6812053 | 769 | py | Python | server/app/budget/migrations/0004_auto_20210521_1347.py | catvitalio/personal-budget | b4470115ebbfd185a8a781a2024787cbfe822639 | [
"MIT"
] | null | null | null | server/app/budget/migrations/0004_auto_20210521_1347.py | catvitalio/personal-budget | b4470115ebbfd185a8a781a2024787cbfe822639 | [
"MIT"
] | null | null | null | server/app/budget/migrations/0004_auto_20210521_1347.py | catvitalio/personal-budget | b4470115ebbfd185a8a781a2024787cbfe822639 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.2 on 2021-05-21 06:47
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('budget', '0003_auto_20210521_1252'),
]
operations = [
migrations.AlterField(
model_name='expense',
name='tags',
... | 26.517241 | 78 | 0.579974 | 676 | 0.879064 | 0 | 0 | 0 | 0 | 0 | 0 | 182 | 0.236671 |
277c9b03dc3a5dfcdb9e0188ddbb3e71c27016ed | 146 | py | Python | recommendations_system/io_/__init__.py | mmikolajczak/recommendation_system_hetrec2011_movielens | 3ae13e62605ffbf5517bc2079e086a400de48748 | [
"MIT"
] | 4 | 2019-12-04T08:42:21.000Z | 2020-06-07T07:22:08.000Z | recommendations_system/io_/__init__.py | mmikolajczak/recommendation_system_hetrec2011_movielens | 3ae13e62605ffbf5517bc2079e086a400de48748 | [
"MIT"
] | null | null | null | recommendations_system/io_/__init__.py | mmikolajczak/recommendation_system_hetrec2011_movielens | 3ae13e62605ffbf5517bc2079e086a400de48748 | [
"MIT"
] | null | null | null | from ._load_hetrec import load_hetrec_to_df
from ._df2ffm import DF2FFMConverter
from ._utils import load_ffm, save_ffm, load_pickle, save_pickle
| 36.5 | 64 | 0.856164 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
277cde189ead3857304afdc2356fa310f621847b | 7,689 | py | Python | Stack_Exchange/py2_text.py | sadahanu/DataScience_SideProject | f476fe939d660099e3209b91bbd5cb883b37b2d3 | [
"MIT"
] | null | null | null | Stack_Exchange/py2_text.py | sadahanu/DataScience_SideProject | f476fe939d660099e3209b91bbd5cb883b37b2d3 | [
"MIT"
] | null | null | null | Stack_Exchange/py2_text.py | sadahanu/DataScience_SideProject | f476fe939d660099e3209b91bbd5cb883b37b2d3 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Tue Dec 13 23:10:40 2016
@author: zhouyu
"""
#%%
import pandas as pd
import numpy as np
import os
import re
import nltk
from nltk.corpus import stopwords
from bs4 import BeautifulSoup
os.chdir('/Users/zhouyu/Documents/Zhou_Yu/DS/kaggle_challenge/text processing')
#%% step1: impor... | 38.253731 | 110 | 0.694629 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,104 | 0.273638 |
277d5ee604563ea1b0d6b261faa48f33c379cba6 | 1,210 | py | Python | tests/test_types.py | apparentlymart/python-stl | befec2266b4a6b201ecc3c4c42007a5c24e90566 | [
"MIT"
] | 9 | 2015-01-25T19:46:31.000Z | 2018-07-04T03:32:46.000Z | tests/test_types.py | apparentlymart/python-stl | befec2266b4a6b201ecc3c4c42007a5c24e90566 | [
"MIT"
] | 10 | 2015-03-10T19:04:34.000Z | 2018-11-03T04:46:57.000Z | tests/test_types.py | apparentlymart/python-stl | befec2266b4a6b201ecc3c4c42007a5c24e90566 | [
"MIT"
] | 15 | 2015-03-07T21:46:44.000Z | 2021-12-02T20:03:21.000Z | import unittest
from stl.types import *
class TestTypes(unittest.TestCase):
def test_facet_geometry(self):
facet = Facet(
(1, 0, 0),
[
(0, 0, 0),
(1, 0, 0),
(0, 1, 0),
],
)
self.assertEqual(facet.a, 1.0)
... | 23.72549 | 61 | 0.333884 | 1,167 | 0.964463 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0.004959 |
277d94d70e278173e780c161c144680891ccd6df | 116 | py | Python | server/domain/datasets/exceptions.py | multi-coop/catalogage-donnees | 1d70401ff6c7b01ec051460a253cb105adf65911 | [
"MIT"
] | null | null | null | server/domain/datasets/exceptions.py | multi-coop/catalogage-donnees | 1d70401ff6c7b01ec051460a253cb105adf65911 | [
"MIT"
] | 14 | 2022-01-25T17:56:52.000Z | 2022-01-28T17:47:59.000Z | server/domain/datasets/exceptions.py | multi-coop/catalogage-donnees | 1d70401ff6c7b01ec051460a253cb105adf65911 | [
"MIT"
] | null | null | null | from ..common.exceptions import DoesNotExist
class DatasetDoesNotExist(DoesNotExist):
entity_name = "Dataset"
| 19.333333 | 44 | 0.793103 | 68 | 0.586207 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0.077586 |
277dc18fc44eab6c4ec0aeec52c4030e30b5d869 | 967 | py | Python | pysimplegui/DemoPrograms/Demo_Design_Pattern_Multiple_Windows2.py | konsan1101/py-etc | bcca13119b0d2453866988404fd1c4976f55d4d5 | [
"MIT"
] | null | null | null | pysimplegui/DemoPrograms/Demo_Design_Pattern_Multiple_Windows2.py | konsan1101/py-etc | bcca13119b0d2453866988404fd1c4976f55d4d5 | [
"MIT"
] | 2 | 2020-06-06T00:30:56.000Z | 2021-06-10T22:30:37.000Z | pysimplegui/DemoPrograms/Demo_Design_Pattern_Multiple_Windows2.py | konsan1101/py-etc | bcca13119b0d2453866988404fd1c4976f55d4d5 | [
"MIT"
] | null | null | null | import PySimpleGUI as sg
"""
PySimpleGUI The Complete Course
Lesson 7
Multiple Independent Windows
"""
# Design pattern 2 - First window remains active
layout = [[ sg.Text('Window 1'),],
[sg.Input()],
[sg.Text('', size=(20,1), key='-OUTPUT-')],
[sg.Button('Launch 2'), sg.Butt... | 24.794872 | 53 | 0.584281 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 243 | 0.251293 |
2780f36861b56fbdc559cec62df68437bb7c262c | 6,277 | py | Python | pexpo.py | joeyspacerocks/pexpo | 1b668bd3d8b399570f938d0b5e9e9545db2ad059 | [
"Apache-2.0"
] | 1 | 2016-05-07T12:32:36.000Z | 2016-05-07T12:32:36.000Z | pexpo.py | joeyspacerocks/pexpo | 1b668bd3d8b399570f938d0b5e9e9545db2ad059 | [
"Apache-2.0"
] | 33 | 2020-07-02T10:24:56.000Z | 2020-08-03T17:26:23.000Z | pexpo.py | joeyspacerocks/pexpo | 1b668bd3d8b399570f938d0b5e9e9545db2ad059 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
import os
import sys
import StringIO
import argparse
import json
import zipfile
from PIL import Image, ImageColor
import xml.etree.cElementTree as ET
# TODO: compose multiple layers
def compose_image(indexes, archive):
file = 'layer' + str(indexes[0]) + '.png'
return Image.open(StringIO.StringIO(... | 25.51626 | 124 | 0.608252 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,319 | 0.210132 |
27811ac83801b7707ced28bf3be304104b0b4fe0 | 212 | py | Python | marsyas-vamp/marsyas/src/django/birdsong/application/birdsong/onsets/admin.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | marsyas-vamp/marsyas/src/django/birdsong/application/birdsong/onsets/admin.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | marsyas-vamp/marsyas/src/django/birdsong/application/birdsong/onsets/admin.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | from django.contrib import admin
from calls.onsets.models import Recording
class RecordingAdmin(admin.ModelAdmin):
list_display = ('audio', 'image', 'length')
admin.site.register(Recording, RecordingAdmin)
| 26.5 | 47 | 0.783019 | 87 | 0.410377 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0.103774 |
27822976fe232c6827409ee540cdeeef7ab6474f | 505 | py | Python | secrets_sample.py | barbudor/upy-door-sensor | ce34226203c0f08b7b10dcdcb6f6f4f2f8689754 | [
"MIT"
] | 5 | 2020-04-12T17:10:23.000Z | 2021-09-24T19:56:01.000Z | secrets_sample.py | barbudor/upy-door-sensor | ce34226203c0f08b7b10dcdcb6f6f4f2f8689754 | [
"MIT"
] | null | null | null | secrets_sample.py | barbudor/upy-door-sensor | ce34226203c0f08b7b10dcdcb6f6f4f2f8689754 | [
"MIT"
] | null | null | null | """
Your secrets and configurations items
you must rename this file secrets.py and customize as needed
"""
# Wifi settings
SSID = "mywifi"
PASSWD = "thesecretpassword"
# Network - comment to use DHCP (but slighly slower)
IPADDR = "192.168.0.100"
MASK = "255.255.255.0"
GW = "192.168.0.1"
DNS = "1.1.1.1"
# MQTT s... | 25.25 | 64 | 0.683168 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 384 | 0.760396 |
27824e9b0a8bb25e5664e1e7337a726628d28d71 | 2,000 | py | Python | src/d007/index.py | Yangfan2016/learn-python | 84a375cda9d51349ae0a0faf1dc6444ac83ed948 | [
"MIT"
] | null | null | null | src/d007/index.py | Yangfan2016/learn-python | 84a375cda9d51349ae0a0faf1dc6444ac83ed948 | [
"MIT"
] | null | null | null | src/d007/index.py | Yangfan2016/learn-python | 84a375cda9d51349ae0a0faf1dc6444ac83ed948 | [
"MIT"
] | null | null | null | # 练习1：在屏幕上显示跑马灯文字
from random import randint
import os
import time
def marquee():
content = "我很开心。。。"
while True:
os.system("clear")
print(content)
time.sleep(.2)
content = content[1:]+content[0]
# marquee()
# 练习2：设计一个函数产生指定长度的验证码，验证码由大小写字母和数字构成
def genrentae_code(l=4):... | 15.151515 | 74 | 0.515 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 740 | 0.327144 |
27830a56e67664f45133b9939b59406608cd3555 | 147 | py | Python | maintenance_mode/utils.py | fallen/django-maintenance-mode | 826b18ca3c768ab5dbd3f665886106b0eb702de9 | [
"MIT"
] | 282 | 2015-06-08T22:57:44.000Z | 2022-03-28T17:44:40.000Z | maintenance_mode/utils.py | fallen/django-maintenance-mode | 826b18ca3c768ab5dbd3f665886106b0eb702de9 | [
"MIT"
] | 82 | 2015-08-24T09:27:07.000Z | 2022-02-08T20:12:48.000Z | maintenance_mode/utils.py | fallen/django-maintenance-mode | 826b18ca3c768ab5dbd3f665886106b0eb702de9 | [
"MIT"
] | 59 | 2015-06-16T13:06:10.000Z | 2022-02-08T20:10:20.000Z | # -*- coding: utf-8 -*-
def get_client_ip_address(request):
"""
Get the client IP Address.
"""
return request.META['REMOTE_ADDR']
| 18.375 | 38 | 0.612245 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 78 | 0.530612 |
27845720229d1cbede001bd8fe6879c12c7dc607 | 2,117 | py | Python | dex/command/commands/DexUnreachable.py | TomWeaver18/dexter | d89b66ca6a0d1ba29a4c32f152773a34ce2881e8 | [
"MIT"
] | null | null | null | dex/command/commands/DexUnreachable.py | TomWeaver18/dexter | d89b66ca6a0d1ba29a4c32f152773a34ce2881e8 | [
"MIT"
] | null | null | null | dex/command/commands/DexUnreachable.py | TomWeaver18/dexter | d89b66ca6a0d1ba29a4c32f152773a34ce2881e8 | [
"MIT"
] | null | null | null | # DExTer : Debugging Experience Tester
# ~~~~~~ ~ ~~ ~ ~~
#
# Copyright (c) 2019 by SN Systems Ltd., Sony Interactive Entertainment Inc.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# ... | 38.490909 | 79 | 0.691072 | 818 | 0.386396 | 0 | 0 | 67 | 0.031649 | 0 | 0 | 1,486 | 0.701937 |
2786bc277b70a50e0d89afd7f11a15c26b25b2fa | 1,825 | py | Python | tests/test_platform.py | rennerocha/bottery | a082cfa1c21f9aa32ea1526ea3004b581f9e0cd4 | [
"MIT"
] | null | null | null | tests/test_platform.py | rennerocha/bottery | a082cfa1c21f9aa32ea1526ea3004b581f9e0cd4 | [
"MIT"
] | null | null | null | tests/test_platform.py | rennerocha/bottery | a082cfa1c21f9aa32ea1526ea3004b581f9e0cd4 | [
"MIT"
] | null | null | null | import inspect
import pytest
from bottery.platform import BaseEngine
def test_baseengine_platform_name_not_implemented():
"""Check if attributes from the public API raise NotImplementedError"""
engine = BaseEngine()
with pytest.raises(NotImplementedError):
getattr(engine, 'platform')
@pytest.m... | 27.651515 | 88 | 0.706301 | 0 | 0 | 0 | 0 | 813 | 0.445479 | 658 | 0.360548 | 382 | 0.209315 |
27871567eec68506ebdf03b82d43a00ac9173647 | 26,071 | py | Python | sarkas/potentials/core.py | lucianogsilvestri/sarkas | f4ab00014d09976561fbd4349b9d0610e47a61e1 | [
"MIT"
] | null | null | null | sarkas/potentials/core.py | lucianogsilvestri/sarkas | f4ab00014d09976561fbd4349b9d0610e47a61e1 | [
"MIT"
] | null | null | null | sarkas/potentials/core.py | lucianogsilvestri/sarkas | f4ab00014d09976561fbd4349b9d0610e47a61e1 | [
"MIT"
] | null | null | null | """
Module handling the potential class.
"""
from copy import deepcopy
from fmm3dpy import hfmm3d, lfmm3d
from numpy import array, ndarray, pi, sqrt, tanh
from warnings import warn
from ..utilities.exceptions import AlgorithmWarning
from ..utilities.fdints import fdm1h, invfd1h
from .force_pm import force_optimized_gr... | 36.260083 | 121 | 0.603199 | 25,593 | 0.981665 | 0 | 0 | 4,622 | 0.177285 | 0 | 0 | 8,907 | 0.341644 |
27877c156aab625b9201be4f2bcf3caf8ade21c6 | 328 | py | Python | forest_lite/server/routers/api.py | uk-gov-mirror/MetOffice.forest-lite | 9406b53f7e6a9651eb675e0ac2e5945421b25557 | [
"BSD-3-Clause"
] | 6 | 2020-08-05T16:12:57.000Z | 2022-01-06T01:34:19.000Z | forest_lite/server/routers/api.py | uk-gov-mirror/MetOffice.forest-lite | 9406b53f7e6a9651eb675e0ac2e5945421b25557 | [
"BSD-3-Clause"
] | 49 | 2020-08-14T13:58:32.000Z | 2021-06-29T11:42:32.000Z | forest_lite/server/routers/api.py | uk-gov-mirror/MetOffice.forest-lite | 9406b53f7e6a9651eb675e0ac2e5945421b25557 | [
"BSD-3-Clause"
] | 2 | 2020-12-03T09:24:13.000Z | 2021-04-11T06:10:36.000Z | from fastapi import APIRouter
router = APIRouter()
@router.get("/api")
async def api():
"""Discoverable API by hitting root endpoint"""
return {
"links": {
"datasets": "/datasets",
"natural_earth_feature": "/natural_earth_feature",
"viewport": "/viewport"
... | 19.294118 | 62 | 0.564024 | 0 | 0 | 0 | 0 | 272 | 0.829268 | 252 | 0.768293 | 149 | 0.454268 |
278849dea2ba5567753d1997063d53e6a66da898 | 593 | py | Python | tests/lupin/validators/test_match.py | Clustaar/lupin | 9ef73642d84a99adb80abf5a922a9422ddae9254 | [
"MIT"
] | 22 | 2017-10-18T08:27:20.000Z | 2022-03-25T18:53:43.000Z | tests/lupin/validators/test_match.py | Clustaar/lupin | 9ef73642d84a99adb80abf5a922a9422ddae9254 | [
"MIT"
] | 5 | 2019-09-16T15:31:55.000Z | 2022-02-10T08:29:14.000Z | tests/lupin/validators/test_match.py | Clustaar/lupin | 9ef73642d84a99adb80abf5a922a9422ddae9254 | [
"MIT"
] | null | null | null | import re
import pytest
from lupin.errors import InvalidMatch
from lupin.validators import Match
@pytest.fixture
def validator():
regexp = re.compile("hello")
return Match(regexp)
class TestCall(object):
def test_raise_error_if_does_not_match(self, validator):
with pytest.raises(InvalidMatch) ... | 22.807692 | 64 | 0.699831 | 398 | 0.671164 | 0 | 0 | 90 | 0.151771 | 0 | 0 | 19 | 0.03204 |
2788acf8b816fa004267a5988eb11b0290795f1e | 289 | py | Python | scripts/face_wall.py | Meeshbhoombah/burnt | c10113e7904c5d13c0feedc337681fb41f1006a7 | [
"MIT"
] | null | null | null | scripts/face_wall.py | Meeshbhoombah/burnt | c10113e7904c5d13c0feedc337681fb41f1006a7 | [
"MIT"
] | null | null | null | scripts/face_wall.py | Meeshbhoombah/burnt | c10113e7904c5d13c0feedc337681fb41f1006a7 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
spacing = 0.1 # m
lines = []
for c in range(0, 8):
rs = [range(11), reversed(range(11))][c % 2]
for r in rs:
lines.append(' {"point": [%.2f, %.2f, %.2f]}' %
(c*spacing, 0, (r)*spacing))
print '[\n' + ',\n'.join(lines) + '\n]'
| 24.083333 | 56 | 0.460208 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 72 | 0.249135 |
27893fac576198dea3db960f02abcae0e0707306 | 1,237 | py | Python | 201220/Q8958.py | JongGuk/BOJ | dd447d9f65481de19a3c0b4f8bb8b5f3d6277c15 | [
"MIT"
] | null | null | null | 201220/Q8958.py | JongGuk/BOJ | dd447d9f65481de19a3c0b4f8bb8b5f3d6277c15 | [
"MIT"
] | null | null | null | 201220/Q8958.py | JongGuk/BOJ | dd447d9f65481de19a3c0b4f8bb8b5f3d6277c15 | [
"MIT"
] | null | null | null | '''There is an objective test result such as “OOXXOXXOOO”.
An ‘O’ means a correct answer of a problem and an ‘X’ means a wrong answer.
The score of each problem of this test is calculated by itself and
its just previous consecutive ‘O’s only when the answer is correct.
For example, the score of the 10th problem is 3 t... | 49.48 | 114 | 0.720291 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,070 | 0.835285 |
278941aab99fac086f38eb414bccf8c30fd00617 | 328 | py | Python | common/tasks.py | gaomugong/flask-demo | 83bfb04634355565456cc16a5e98421338e3f562 | [
"MIT"
] | 12 | 2017-12-24T13:58:17.000Z | 2021-04-06T16:21:00.000Z | common/tasks.py | gaomugong/flask-demo | 83bfb04634355565456cc16a5e98421338e3f562 | [
"MIT"
] | null | null | null | common/tasks.py | gaomugong/flask-demo | 83bfb04634355565456cc16a5e98421338e3f562 | [
"MIT"
] | 1 | 2021-10-17T14:45:44.000Z | 2021-10-17T14:45:44.000Z | # -*- coding: utf-8 -*-
from app import celery, app
@celery.task()
def add_together(a, b):
app.logger.info('hello world')
return a + b
# from common.extensions import celery
# from flask import current_app
#
#
# @celery.task()
# def add_together(a, b):
# current_app.logger.info('hello world')
# retur... | 18.222222 | 44 | 0.652439 | 0 | 0 | 0 | 0 | 90 | 0.27439 | 0 | 0 | 210 | 0.640244 |
2789b658170df8dfdb61f142d656fdcfa80baf19 | 11,411 | py | Python | Code/3_linear_regression_on_pixels.py | jjatinggoyal/accessbility-indicators | 7126d3bc33dc6dadbcf6d9000d6ef6d432f093c0 | [
"MIT"
] | null | null | null | Code/3_linear_regression_on_pixels.py | jjatinggoyal/accessbility-indicators | 7126d3bc33dc6dadbcf6d9000d6ef6d432f093c0 | [
"MIT"
] | null | null | null | Code/3_linear_regression_on_pixels.py | jjatinggoyal/accessbility-indicators | 7126d3bc33dc6dadbcf6d9000d6ef6d432f093c0 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""3_Linear_regression_on_pixels.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1nhECM9OxwIw8BjEqsQcSUwojX2KYrh1I
"""
from google.colab import drive #to retrieve data from drive
drive.mount('/content/drive/')
cd 'driv... | 52.344037 | 155 | 0.729997 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8,238 | 0.721935 |
278a8dffe7af41773e706a3b3b7522cea3642494 | 127 | py | Python | ccc/cfg.py | zkdev/cc-utils | 042c6632ca6f61a484bc0a71f85957aeba7f7278 | [
"BSD-3-Clause"
] | 15 | 2018-04-18T13:25:30.000Z | 2022-03-04T09:25:41.000Z | ccc/cfg.py | zkdev/cc-utils | 042c6632ca6f61a484bc0a71f85957aeba7f7278 | [
"BSD-3-Clause"
] | 221 | 2018-04-12T06:29:43.000Z | 2022-03-27T03:01:40.000Z | ccc/cfg.py | zkdev/cc-utils | 042c6632ca6f61a484bc0a71f85957aeba7f7278 | [
"BSD-3-Clause"
] | 29 | 2018-04-11T14:42:23.000Z | 2021-11-09T16:26:32.000Z | import functools
import ci.util
ctx = ci.util.ctx()
@functools.lru_cache()
def cfg_factory():
return ctx.cfg_factory()
| 11.545455 | 28 | 0.716535 | 0 | 0 | 0 | 0 | 70 | 0.551181 | 0 | 0 | 0 | 0 |
278e170fcb4a1f505f51883094b18a872922bd6e | 2,459 | py | Python | scripts/create_grids.py | edwardoughton/taddle | f76ca6067e6fca6b699675ab038c31c9444e0a79 | [
"MIT"
] | 9 | 2020-08-18T04:25:00.000Z | 2022-03-18T16:42:33.000Z | scripts/create_grids.py | edwardoughton/arpu_predictor | f76ca6067e6fca6b699675ab038c31c9444e0a79 | [
"MIT"
] | null | null | null | scripts/create_grids.py | edwardoughton/arpu_predictor | f76ca6067e6fca6b699675ab038c31c9444e0a79 | [
"MIT"
] | 4 | 2020-01-27T01:48:30.000Z | 2021-12-01T16:48:17.000Z | """
Create 10km x 10km grid using the country shapefile.
Written by Ed Oughton.
Winter 2020
"""
import argparse
import os
import configparser
import geopandas as gpd
from shapely.geometry import Polygon, mapping
import pandas as pd
import numpy as np
import rasterio
from rasterstats import zonal_stats
BASE_DIR = '.... | 26.44086 | 94 | 0.699471 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 613 | 0.249288 |
27907e0aff23ef4fbe2d4a38e27570505c4caa34 | 366 | py | Python | test/test_all.py | beremaran/spdown | 59e5ea6996be51ad015f9da6758e2ce556b9fb94 | [
"MIT"
] | 2 | 2019-08-13T15:13:58.000Z | 2019-10-04T09:09:24.000Z | test/test_all.py | beremaran/spdown | 59e5ea6996be51ad015f9da6758e2ce556b9fb94 | [
"MIT"
] | 4 | 2021-02-08T20:23:42.000Z | 2022-03-11T23:27:07.000Z | test/test_all.py | beremaran/spdown | 59e5ea6996be51ad015f9da6758e2ce556b9fb94 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import unittest
test_modules = [
'test.test_config',
'test.test_secrets',
'test.test_spotify',
'test.test_youtube'
]
if __name__ == "__main__":
suite = unittest.TestSuite()
for tm in test_modules:
suite.addTest(unittest.defaultTestLoader.loadTestsFromName(tm))
... | 19.263158 | 71 | 0.691257 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 106 | 0.289617 |
2790d75b4b157f35c41640a672fd75216eb8137c | 1,281 | py | Python | tests/rec_util.py | pablohawz/tfg-Scan-Paint-clone | 056cd50d9e4274620cf085a41ed9d326e16dd47b | [
"MIT"
] | null | null | null | tests/rec_util.py | pablohawz/tfg-Scan-Paint-clone | 056cd50d9e4274620cf085a41ed9d326e16dd47b | [
"MIT"
] | null | null | null | tests/rec_util.py | pablohawz/tfg-Scan-Paint-clone | 056cd50d9e4274620cf085a41ed9d326e16dd47b | [
"MIT"
] | null | null | null | import os
import tempfile
from time import time
import numpy as np
import sounddevice as sd
from PySide2.QtWidgets import QApplication, QFileDialog
from scipy.io.wavfile import write
# Config
t = 3 # s
fs = 44100
def save(x, fs):
# You have to create a QApp in order to use a
# Widget (QFileDialg)
app =... | 20.66129 | 67 | 0.565964 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 258 | 0.201405 |
2792236e3960ae778ac604767d58c8cfaef78404 | 10,977 | py | Python | test/comptests/TestHybridQuasiGaussian.py | sschlenkrich/HybridMonteCarlo | 72f54aa4bcd742430462b27b72d70369c01f9ac4 | [
"MIT"
] | 3 | 2021-08-18T18:34:41.000Z | 2021-12-24T07:05:19.000Z | test/comptests/TestHybridQuasiGaussian.py | sschlenkrich/HybridMonteCarlo | 72f54aa4bcd742430462b27b72d70369c01f9ac4 | [
"MIT"
] | null | null | null | test/comptests/TestHybridQuasiGaussian.py | sschlenkrich/HybridMonteCarlo | 72f54aa4bcd742430462b27b72d70369c01f9ac4 | [
"MIT"
] | 3 | 2021-01-31T11:41:19.000Z | 2022-03-25T19:51:20.000Z | #!/usr/bin/python
import sys
sys.path.append('./')
import unittest
import copy
import numpy as np
from hybmc.mathutils.Helpers import BlackImpliedVol, BlackVega
from hybmc.termstructures.YieldCurve import YieldCurve
from hybmc.models.AssetModel import AssetModel
from hybmc.models.HybridModel import HybridModel
from... | 41.579545 | 125 | 0.484376 | 9,746 | 0.887856 | 0 | 0 | 0 | 0 | 0 | 0 | 1,376 | 0.125353 |
27939e55222086ece981ba3a6efa56f956601617 | 143 | py | Python | model/__init__.py | Blind-Aid/sentiment-discovery | 081c7c855e00864b52e97cac0b0e097cc86d9731 | [
"BSD-3-Clause"
] | 1,093 | 2017-12-05T20:35:45.000Z | 2022-02-26T17:48:30.000Z | model/__init__.py | Blind-Aid/sentiment-discovery | 081c7c855e00864b52e97cac0b0e097cc86d9731 | [
"BSD-3-Clause"
] | 67 | 2017-12-05T22:02:55.000Z | 2021-05-25T09:06:41.000Z | model/__init__.py | Blind-Aid/sentiment-discovery | 081c7c855e00864b52e97cac0b0e097cc86d9731 | [
"BSD-3-Clause"
] | 207 | 2017-12-05T20:59:45.000Z | 2022-03-08T09:32:39.000Z | from .distributed import *
from .model import *
from .sentiment_classifier import *
from .transformer import *
from .transformer_utils import * | 28.6 | 35 | 0.797203 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2793c0f51d8fcdcbec81fb953d41e2dc42b499c2 | 2,927 | py | Python | SIP/src/peer/peer.py | trishantpahwa/Session-Initiation-Protocol | 5b770dbb9533fbe3a8ff31fc583576cc107e5ba8 | [
"MIT"
] | 3 | 2019-06-18T18:21:05.000Z | 2021-07-15T06:28:25.000Z | SIP/src/peer/peer.py | trishantpahwa/Session-Initiation-Protocol | 5b770dbb9533fbe3a8ff31fc583576cc107e5ba8 | [
"MIT"
] | 4 | 2019-01-30T11:31:13.000Z | 2019-03-06T12:36:54.000Z | SIP/src/peer/peer.py | trishantpahwa/Session-Initiation-Protocol | 5b770dbb9533fbe3a8ff31fc583576cc107e5ba8 | [
"MIT"
] | 1 | 2019-08-12T11:31:23.000Z | 2019-08-12T11:31:23.000Z | import socket
class peer:
__db = None
__s = socket
__protocol = ''
__port = 5060
__s_address = ()
__buff_size = 4096
def __init__(self, protocol='TCP', port=5060, buff_size=4096):
self.__set_protocol(protocol)
self.__set_port(port)
self.__set_buff_size(buff_size)... | 28.696078 | 75 | 0.60574 | 2,910 | 0.994192 | 0 | 0 | 0 | 0 | 0 | 0 | 98 | 0.033481 |
279582d504d9da0d858f00c0d357db9ba41aecb7 | 3,387 | py | Python | champ_bringup/scripts/joint_calibrator_relay.py | lubitz99/champ | 2e4c8606db9a365866726ea84e8107c14ee9446d | [
"BSD-3-Clause"
] | 923 | 2020-04-06T15:09:24.000Z | 2022-03-30T15:34:08.000Z | champ_bringup/scripts/joint_calibrator_relay.py | lubitz99/champ | 2e4c8606db9a365866726ea84e8107c14ee9446d | [
"BSD-3-Clause"
] | 73 | 2020-05-12T09:23:12.000Z | 2022-03-28T06:22:16.000Z | champ_bringup/scripts/joint_calibrator_relay.py | lubitz99/champ | 2e4c8606db9a365866726ea84e8107c14ee9446d | [
"BSD-3-Clause"
] | 229 | 2020-04-26T06:32:28.000Z | 2022-03-29T08:07:28.000Z | #!/usr/bin/env python
'''
Copyright (c) 2019-2020, Juan Miguel Jimeno
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, thi... | 45.16 | 110 | 0.749631 | 1,502 | 0.44346 | 0 | 0 | 0 | 0 | 0 | 0 | 1,755 | 0.518158 |
279641443118aebc70b220bf9dae1dc53a9d2fc4 | 3,909 | py | Python | touchdown/aws/vpc/vpc.py | yaybu/touchdown | 70ecda5191ce2d095bc074dcb23bfa1584464814 | [
"Apache-2.0"
] | 14 | 2015-01-05T18:18:04.000Z | 2022-02-07T19:35:12.000Z | touchdown/aws/vpc/vpc.py | yaybu/touchdown | 70ecda5191ce2d095bc074dcb23bfa1584464814 | [
"Apache-2.0"
] | 106 | 2015-01-06T00:17:13.000Z | 2019-09-07T00:35:32.000Z | touchdown/aws/vpc/vpc.py | yaybu/touchdown | 70ecda5191ce2d095bc074dcb23bfa1584464814 | [
"Apache-2.0"
] | 5 | 2015-01-30T10:18:24.000Z | 2022-02-07T19:35:13.000Z | # Copyright 2014 Isotoma Limited
#
# 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... | 32.575 | 84 | 0.660783 | 3,078 | 0.787414 | 1,357 | 0.347148 | 0 | 0 | 0 | 0 | 1,188 | 0.303914 |
2796c1a0814e47f59cba47b456a1373f8929dd6d | 77 | py | Python | backend_django/type/__init__.py | mehranagh20/Typonent | 702ae3e018dcffb952c870b0a680f2475845b744 | [
"MIT"
] | 4 | 2017-03-24T19:14:29.000Z | 2017-04-02T18:23:25.000Z | backend_django/type/__init__.py | mehranagh20/typing_site | 702ae3e018dcffb952c870b0a680f2475845b744 | [
"MIT"
] | 4 | 2017-03-25T20:25:04.000Z | 2017-03-31T17:18:23.000Z | backend_django/type/__init__.py | mehranagh20/typing_site | 702ae3e018dcffb952c870b0a680f2475845b744 | [
"MIT"
] | null | null | null |
# from type.models import User, Requirement, Involvement, Competition, Text | 25.666667 | 75 | 0.792208 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 0.974026 |
2797b6dfc818a3de2bc52aaf5906014401475627 | 793 | py | Python | estructuras de control secuenciales/ejercicio10.py | svcuellar/algoritmos_programacion | 0813ee6a2ccb605557a7920bf82440b7388b49e8 | [
"MIT"
] | null | null | null | estructuras de control secuenciales/ejercicio10.py | svcuellar/algoritmos_programacion | 0813ee6a2ccb605557a7920bf82440b7388b49e8 | [
"MIT"
] | null | null | null | estructuras de control secuenciales/ejercicio10.py | svcuellar/algoritmos_programacion | 0813ee6a2ccb605557a7920bf82440b7388b49e8 | [
"MIT"
] | null | null | null | """
entradas
cantidadchelinesaustriacos-->c-->float
cantidaddragmasgriegos-->dg-->float
cantidadpesetas-->p-->float
salidas
chelines_a_pesetas-->c_p-->float
dragmas_a_francosfrancese-->dg_ff-->float
pesetas_a_dolares-->p_d-->float
pesetas_a_lirasitalianas-->p_li-->float
"""
#entradas
c=float(input("Ingrese la cantida... | 28.321429 | 78 | 0.726356 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 558 | 0.703657 |
27981338330ee315b120f4f29b8d0163c165b34b | 4,453 | py | Python | st_model.py | saras108/Sentiment_Analysis | 7e4e84637161cd005ebbcd303f68417726b5f098 | [
"MIT"
] | null | null | null | st_model.py | saras108/Sentiment_Analysis | 7e4e84637161cd005ebbcd303f68417726b5f098 | [
"MIT"
] | null | null | null | st_model.py | saras108/Sentiment_Analysis | 7e4e84637161cd005ebbcd303f68417726b5f098 | [
"MIT"
] | null | null | null | #importing necessary libraries
import numpy as np
import pandas as pd
import string
import streamlit as st
header = st.container()
dataset = st.container()
fearure = st.container()
model_training = st.container()
def get_data(file_name):
df = pd.read_csv(file_name , header = None)
return df
with header:
... | 29.885906 | 302 | 0.688974 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,439 | 0.323153 |
279b274296a91748dfbdabae0134ce96287057e9 | 540 | py | Python | config.py | sheepmen/SpiderManage | 850d6357fd1117c16684dabb5d1e79de1854e61c | [
"MIT"
] | 1 | 2018-06-13T00:38:53.000Z | 2018-06-13T00:38:53.000Z | config.py | sheepmen/SpiderManage | 850d6357fd1117c16684dabb5d1e79de1854e61c | [
"MIT"
] | null | null | null | config.py | sheepmen/SpiderManage | 850d6357fd1117c16684dabb5d1e79de1854e61c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
SECRET_KEY = 'some secret key'
TEMPLATES_AUTO_RELOAD = True
PROJECT_NAME = 'SpiderManage'
# Redis Config
REDIS_HOST = '120.25.227.8'
REDIS_PORT = 6379
REDIS_PASSWORD = 'xuxinredis'
# SQLite
# SQLALCHEMY_DATABASE_URI = 'sqlite:///C:/Users/sheep3/workplace/SpiderManage/data.d... | 30 | 93 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 321 | 0.594444 |
279b776bfdce89147881347913d489e839a74293 | 3,989 | py | Python | PyPrometheus.py | RusDavies/PyPrometheus | 8c0bb9489f42423942982829024d7359a374d7b1 | [
"MIT"
] | null | null | null | PyPrometheus.py | RusDavies/PyPrometheus | 8c0bb9489f42423942982829024d7359a374d7b1 | [
"MIT"
] | null | null | null | PyPrometheus.py | RusDavies/PyPrometheus | 8c0bb9489f42423942982829024d7359a374d7b1 | [
"MIT"
] | null | null | null | from PyPrometheusQueryClient import PrometheusQueryClient
import json
from pathlib import Path
from datetime import datetime
class Prometheus:
def __init__(self, url, metrics_config_file=None, cache_path=None, cache_ttl=3600, ssl_verify=True, starttime=None, endtime=None):
self._metrics_config_file = met... | 37.990476 | 134 | 0.613688 | 3,862 | 0.968162 | 0 | 0 | 0 | 0 | 0 | 0 | 1,028 | 0.257709 |
279d9301e8e9b967d31f0c36c000b8b79e8eab38 | 5,557 | py | Python | tests/validate_schema_guide.py | dieghernan/citation-file-format | cfad34b82aa882d8169a0bcb6a21ad19cb4ff401 | [
"CC-BY-4.0"
] | 257 | 2017-12-18T14:09:32.000Z | 2022-03-28T17:58:19.000Z | tests/validate_schema_guide.py | Seanpm2001-DIGITAL-Command-Language/citation-file-format | 52647a247e9b1a5b04154934f39615b5ee8c4d65 | [
"CC-BY-4.0"
] | 307 | 2017-10-16T12:17:40.000Z | 2022-03-18T11:18:49.000Z | tests/validate_schema_guide.py | Seanpm2001-DIGITAL-Command-Language/citation-file-format | 52647a247e9b1a5b04154934f39615b5ee8c4d65 | [
"CC-BY-4.0"
] | 344 | 2018-09-19T03:00:26.000Z | 2022-03-31T01:39:11.000Z | import pytest
import os
import json
import jsonschema
from ruamel.yaml import YAML
def test():
def extract_snippets():
start = 0
end = len(markdown)
while start < end:
snippet_start = markdown.find("```yaml\n", start, end)
if snippet_start == -1:
br... | 57.28866 | 171 | 0.479935 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,271 | 0.228721 |
279ec732b8ac9028c087cef84952b665f1b41600 | 188 | py | Python | vkrpg/scripts/hello.py | Augmeneco/VKRPG | b071a490ae45a574a028af1eb831fff96782c06c | [
"Apache-2.0"
] | null | null | null | vkrpg/scripts/hello.py | Augmeneco/VKRPG | b071a490ae45a574a028af1eb831fff96782c06c | [
"Apache-2.0"
] | null | null | null | vkrpg/scripts/hello.py | Augmeneco/VKRPG | b071a490ae45a574a028af1eb831fff96782c06c | [
"Apache-2.0"
] | null | null | null | import vkrpg
class MainContext(vkrpg.contexts.BaseContext):
def on_message(self, msg):
vkrpg.chat.send(msg['peer_id'], text='Привет, VKID#{}!'.format(msg['from_id']))
| 31.333333 | 87 | 0.659574 | 171 | 0.881443 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 0.216495 |
27a5750fd3834a5dd24fb63cbde3fd11a0fdfdd0 | 4,613 | py | Python | flaskprediction/routes.py | killswitchh/flask-prediction-app | a8bdff96fa2dc05544991a705970d1550ac9a034 | [
"MIT"
] | null | null | null | flaskprediction/routes.py | killswitchh/flask-prediction-app | a8bdff96fa2dc05544991a705970d1550ac9a034 | [
"MIT"
] | 1 | 2020-08-29T18:39:05.000Z | 2020-08-30T09:43:47.000Z | flaskprediction/routes.py | killswitchh/flask-prediction-app | a8bdff96fa2dc05544991a705970d1550ac9a034 | [
"MIT"
] | null | null | null | import secrets
from flask import Flask , render_template , url_for , send_from_directory
from flaskprediction import app
from flaskprediction.utils.predict import Predictor
from flaskprediction.forms import CarDetailsForm , TitanicDetailsForm , BostonDetailsForm , HeightDetailsForm, CatImageForm
from PIL import Imag... | 39.767241 | 182 | 0.681986 | 0 | 0 | 0 | 0 | 3,884 | 0.841968 | 0 | 0 | 746 | 0.161717 |
27a61a2b957091652c5a6b1dfcf40f524e7bd75a | 14,349 | py | Python | air/gather.py | krisbukovi/AutomatedIngestReport | 87cc65c9028382a0860069d86b69b8517d93f59c | [
"MIT"
] | null | null | null | air/gather.py | krisbukovi/AutomatedIngestReport | 87cc65c9028382a0860069d86b69b8517d93f59c | [
"MIT"
] | null | null | null | air/gather.py | krisbukovi/AutomatedIngestReport | 87cc65c9028382a0860069d86b69b8517d93f59c | [
"MIT"
] | null | null | null |
import requests
import re
from time import sleep
from datetime import datetime
import shutil
import elasticsearch2
from elasticsearch_dsl import Search, Q
from collections import OrderedDict
from sqlalchemy import create_engine
from subprocess import Popen, PIPE, STDOUT
import shlex
import glob
import csv
# from api... | 45.122642 | 160 | 0.566451 | 13,933 | 0.971008 | 0 | 0 | 0 | 0 | 0 | 0 | 5,868 | 0.408948 |
27a686fae11eeb59ce17fe8f4cf6412be0900891 | 8,180 | py | Python | python_aternos/atconf.py | DarkCat09/python-aternos | a75d729e938a181449f304e849762dd9bb0e51f3 | [
"Apache-2.0"
] | 11 | 2021-10-01T13:04:44.000Z | 2022-03-31T19:19:48.000Z | python_aternos/atconf.py | DarkCat09/python-aternos | a75d729e938a181449f304e849762dd9bb0e51f3 | [
"Apache-2.0"
] | 7 | 2021-10-01T14:00:20.000Z | 2022-03-21T12:29:24.000Z | python_aternos/atconf.py | DarkCat09/python-aternos | a75d729e938a181449f304e849762dd9bb0e51f3 | [
"Apache-2.0"
] | 4 | 2022-01-07T13:47:39.000Z | 2022-02-22T21:51:28.000Z | import enum
import re
import lxml.html
from typing import Any, Dict, List, Union, Optional
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from .atserver import AternosServer
class ServerOpts(enum.Enum):
"""server.options file"""
players = 'max-players'
gm = 'gamemode'
difficulty = 'difficult... | 24.638554 | 82 | 0.667604 | 7,687 | 0.939731 | 0 | 0 | 0 | 0 | 0 | 0 | 4,142 | 0.506357 |
27a6c1cdc477a10a4c9b691137650bb8e9980229 | 11,859 | py | Python | examples/cadre_dymos.py | johnjasa/CADRE | a4ffd61582b8474953fc309aa540838a14f29dcf | [
"Apache-2.0"
] | null | null | null | examples/cadre_dymos.py | johnjasa/CADRE | a4ffd61582b8474953fc309aa540838a14f29dcf | [
"Apache-2.0"
] | null | null | null | examples/cadre_dymos.py | johnjasa/CADRE | a4ffd61582b8474953fc309aa540838a14f29dcf | [
"Apache-2.0"
] | null | null | null | from __future__ import print_function
import unittest
import numpy as np
from openmdao.api import Problem, Group, pyOptSparseDriver, DirectSolver, SqliteRecorder
from dymos import Phase
from dymos.utils.indexing import get_src_indices_by_row
from dymos.phases.components import ControlInterpComp
from CADRE.odes_dym... | 42.812274 | 143 | 0.70436 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,328 | 0.449279 |
27a730a5c6d3019f232b6aef55d357908663ff70 | 959 | py | Python | deso/Media.py | AdityaChaudhary0005/DeSo.py | 5cb3c757fb21bad472da921c0148675c8957eb17 | [
"MIT"
] | 11 | 2021-11-12T18:20:22.000Z | 2022-03-16T02:12:06.000Z | deso/Media.py | AdityaChaudhary0005/DeSo.py | 5cb3c757fb21bad472da921c0148675c8957eb17 | [
"MIT"
] | 6 | 2021-11-25T04:30:44.000Z | 2021-12-15T12:33:24.000Z | deso/Media.py | AdityaChaudhary0005/DeSo.py | 5cb3c757fb21bad472da921c0148675c8957eb17 | [
"MIT"
] | 8 | 2021-11-19T19:14:50.000Z | 2022-01-31T21:27:32.000Z | from deso.utils import getUserJWT
import requests
class Media:
def __init__(self, publicKey=None, seedHex=None, nodeURL="https://node.deso.org/api/v0/"):
self.SEED_HEX = seedHex
self.PUBLIC_KEY = publicKey
self.NODE_URL = nodeURL
def uploadImage(self, fileList):
#uploads imag... | 31.966667 | 95 | 0.554745 | 906 | 0.944734 | 0 | 0 | 0 | 0 | 0 | 0 | 155 | 0.161627 |
27a8998af1db32b395a9af2dbb6c8a21bc35a70c | 169 | py | Python | workSpace/boot.py | khutson/macequilt | a4a090ddf296fcea763825fda4243bc84b4d5f0d | [
"MIT"
] | null | null | null | workSpace/boot.py | khutson/macequilt | a4a090ddf296fcea763825fda4243bc84b4d5f0d | [
"MIT"
] | null | null | null | workSpace/boot.py | khutson/macequilt | a4a090ddf296fcea763825fda4243bc84b4d5f0d | [
"MIT"
] | null | null | null | # This file is executed on every boot (including wake-boot from deepsleep)
import esp
esp.osdebug(None)
import wifi
wifi.connect(repl=False)
import gc
gc.collect()
| 13 | 74 | 0.763314 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 74 | 0.43787 |
27a8cc8eee02c003f65618c441f8c80b6ada0052 | 1,790 | py | Python | s3-scan-tar/tests/test_models.py | omBratteng/mottak | b7d2e1d063b31c2ad89c66e5414297612f91ebe9 | [
"Apache-2.0"
] | 4 | 2021-03-05T15:39:24.000Z | 2021-09-15T06:11:45.000Z | s3-scan-tar/tests/test_models.py | omBratteng/mottak | b7d2e1d063b31c2ad89c66e5414297612f91ebe9 | [
"Apache-2.0"
] | 631 | 2020-04-27T10:39:18.000Z | 2022-03-31T14:51:38.000Z | s3-scan-tar/tests/test_models.py | omBratteng/mottak | b7d2e1d063b31c2ad89c66e5414297612f91ebe9 | [
"Apache-2.0"
] | 3 | 2020-02-20T15:48:03.000Z | 2021-12-16T22:50:40.000Z | import pytest
from app.models import AVScanResult
@pytest.fixture
def _scan_result() -> AVScanResult:
clean = 10
virus = 0
skipped = 0
return AVScanResult(clean, virus, skipped)
def test_avscanresult_init(_scan_result):
result = AVScanResult(10, 0, 0)
assert result == _scan_result
def test... | 29.833333 | 62 | 0.655307 | 0 | 0 | 0 | 0 | 143 | 0.079755 | 0 | 0 | 619 | 0.345231 |
27a97aed4e6639ade2261db847e3a6e16989a40c | 1,424 | py | Python | autoload/activate_this.py | BonaBeavis/vim-venom | a4ed892bd844de51c92e7b59dbc975db02c939b9 | [
"Vim"
] | 24 | 2020-04-26T11:50:40.000Z | 2022-02-22T08:05:36.000Z | autoload/activate_this.py | BonaBeavis/vim-venom | a4ed892bd844de51c92e7b59dbc975db02c939b9 | [
"Vim"
] | 5 | 2021-01-26T12:41:12.000Z | 2022-01-11T15:40:43.000Z | autoload/activate_this.py | BonaBeavis/vim-venom | a4ed892bd844de51c92e7b59dbc975db02c939b9 | [
"Vim"
] | 4 | 2020-05-02T21:45:36.000Z | 2022-03-25T13:51:00.000Z | # -*- coding: utf-8 -*-
"""Activate virtualenv for current interpreter:
Source: https://github.com/pypa/virtualenv
Use exec(open(this_file).read(), {'__file__': this_file}).
"""
import os
import site
import sys
try:
abs_file = os.path.abspath(__file__)
except NameError:
raise AssertionError(
"You must... | 30.297872 | 78 | 0.714185 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 618 | 0.433989 |
27abc06bb50512111945d911b3687183e05cd80c | 2,731 | py | Python | tattrdb/models.py | gmjosack/tattrdb | 88d46eb049d05a1f0531531c49c2209c2bbbf562 | [
"MIT"
] | 1 | 2018-11-24T02:33:15.000Z | 2018-11-24T02:33:15.000Z | tattrdb/models.py | gmjosack/tattrdb | 88d46eb049d05a1f0531531c49c2209c2bbbf562 | [
"MIT"
] | null | null | null | tattrdb/models.py | gmjosack/tattrdb | 88d46eb049d05a1f0531531c49c2209c2bbbf562 | [
"MIT"
] | null | null | null | from sqlalchemy import create_engine
from sqlalchemy import (
Table, Column, Integer, String, Text, Boolean,
ForeignKey, Enum, DateTime
)
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship, backref, sessionmaker
Session = sessionmaker()
Model = declarative_base()
... | 28.154639 | 103 | 0.656902 | 1,949 | 0.713658 | 0 | 0 | 0 | 0 | 0 | 0 | 387 | 0.141706 |
27abe035638fda37c09ec1990dca44e2161d8667 | 30 | py | Python | onepassword/__init__.py | jemmyw/1pass | 8dbfa5e062ce08e26c5619dbdb2b27323e5b3dc9 | [
"MIT"
] | 1 | 2016-11-14T22:16:48.000Z | 2016-11-14T22:16:48.000Z | onepassword/__init__.py | elliotchance/1pass | 4bd45a52476c410c6e5b51f90fd46cbdd436807f | [
"MIT"
] | null | null | null | onepassword/__init__.py | elliotchance/1pass | 4bd45a52476c410c6e5b51f90fd46cbdd436807f | [
"MIT"
] | null | null | null | from keychain import Keychain
| 15 | 29 | 0.866667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
27ae7ed160d61ff6977fb0ea0dc61ee80279d33b | 152,955 | py | Python | modules/cockatoo/_knitnetwork.py | fstwn/Cockatoo | 0c5f9c515053bfc31e62d20fddc4ae9bece09d88 | [
"MIT"
] | 9 | 2020-09-26T03:41:21.000Z | 2021-11-29T06:52:35.000Z | modules/cockatoo/_knitnetwork.py | fstwn/Cockatoo | 0c5f9c515053bfc31e62d20fddc4ae9bece09d88 | [
"MIT"
] | 9 | 2020-08-10T19:38:03.000Z | 2022-02-24T08:41:32.000Z | modules/cockatoo/_knitnetwork.py | fstwn/Cockatoo | 0c5f9c515053bfc31e62d20fddc4ae9bece09d88 | [
"MIT"
] | 3 | 2020-12-26T08:43:56.000Z | 2021-10-17T19:37:52.000Z | # PYTHON STANDARD LIBRARY IMPORTS ---------------------------------------------
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from collections import deque
from collections import OrderedDict
from math import radians
from math import pi
from operator import... | 45.454681 | 79 | 0.495106 | 150,387 | 0.983211 | 0 | 0 | 4,247 | 0.027766 | 0 | 0 | 52,321 | 0.342068 |