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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a7bbd5a285c6bb9093667ccc2d4fc99f883f732d | 1,573 | py | Python | tests/fixtures.py | vfxetc/sgcache | 670bfac2904373e19c2dac7504d2d7f87018833d | [
"BSD-3-Clause"
] | 13 | 2017-09-06T21:48:57.000Z | 2022-02-08T20:50:52.000Z | tests/fixtures.py | vfxetc/sgcache | 670bfac2904373e19c2dac7504d2d7f87018833d | [
"BSD-3-Clause"
] | 1 | 2021-04-04T18:07:04.000Z | 2021-04-04T18:07:04.000Z | tests/fixtures.py | vfxetc/sgcache | 670bfac2904373e19c2dac7504d2d7f87018833d | [
"BSD-3-Clause"
] | 1 | 2019-07-19T01:23:19.000Z | 2019-07-19T01:23:19.000Z | from . import uuid
def task_crud(self, shotgun, trigger_poll=lambda: None):
shot_name = uuid(8)
shot = shotgun.create('Shot', {'code': shot_name})
name = uuid(8)
task = shotgun.create('Task', {'content': name, 'entity': shot})
trigger_poll()
x = self.cached.find_one('Task', [('id', 'is', ta... | 34.195652 | 96 | 0.590591 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 431 | 0.273999 |
a7bbfcd8b016b1703e3c92ed7c1cef2bc74d76e6 | 3,098 | py | Python | config.py | ricsonc/aptools | c6ff775a7ae5a7ea7b27235748fd45769d037ae8 | [
"MIT"
] | 1 | 2020-11-09T18:02:36.000Z | 2020-11-09T18:02:36.000Z | config.py | ricsonc/aptools | c6ff775a7ae5a7ea7b27235748fd45769d037ae8 | [
"MIT"
] | null | null | null | config.py | ricsonc/aptools | c6ff775a7ae5a7ea7b27235748fd45769d037ae8 | [
"MIT"
] | null | null | null | from munch import Munch as M
cores = 20
demosaic_params = M(
# at most one of use_flat or use_lens_profile should be True
# strongly recommended to have at least 1 be True
use_flat = False,
use_lens_profile = True,
alg = 'DCB', #alternatively, use LMMSE
camera = 'auto', # alternatively, speci... | 34.422222 | 92 | 0.679471 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,902 | 0.613944 |
a7bc5dad7ba38fc7552e7848f03173e599033cdb | 10,809 | py | Python | src/cogs/ide/dialogs/navigated_saved.py | boopdev/Jarvide | 10920d53e4193c7e5526012b572c00f26536cd6c | [
"MIT"
] | null | null | null | src/cogs/ide/dialogs/navigated_saved.py | boopdev/Jarvide | 10920d53e4193c7e5526012b572c00f26536cd6c | [
"MIT"
] | null | null | null | src/cogs/ide/dialogs/navigated_saved.py | boopdev/Jarvide | 10920d53e4193c7e5526012b572c00f26536cd6c | [
"MIT"
] | null | null | null | import disnake
import time
from disnake.ext import commands
from typing import Optional
from odmantic import Model
from src.utils import ExitButton, EmbedFactory, File, get_info
class FileModel(Model): # noqa
user_id: int
name: str
file_url: Optional[str] = None
folder: Optional[str] = None
cre... | 33.258462 | 195 | 0.569248 | 10,617 | 0.982237 | 0 | 0 | 8,867 | 0.820335 | 8,879 | 0.821445 | 1,454 | 0.134518 |
a7be5a9cf5c8b15026fbcff5a02db179d5654ed0 | 6,098 | py | Python | BiBloSA/exp_SICK/src/evaluator.py | mikimaus78/ml_monorepo | b2c2627ff0e86e27f6829170d0dac168d8e5783b | [
"BSD-3-Clause"
] | 116 | 2018-02-01T08:33:35.000Z | 2021-08-04T05:28:04.000Z | BiBloSA/exp_SICK/src/evaluator.py | mikimaus78/ml_monorepo | b2c2627ff0e86e27f6829170d0dac168d8e5783b | [
"BSD-3-Clause"
] | 2 | 2019-02-23T18:54:22.000Z | 2019-11-09T01:30:32.000Z | BiBloSA/exp_SICK/src/evaluator.py | mikimaus78/ml_monorepo | b2c2627ff0e86e27f6829170d0dac168d8e5783b | [
"BSD-3-Clause"
] | 35 | 2019-02-08T02:00:31.000Z | 2022-03-01T23:17:00.000Z | from configs import cfg
from src.utils.record_log import _logger
import numpy as np
import tensorflow as tf
import scipy.stats as stats
class Evaluator(object):
def __init__(self, model):
self.model = model
self.global_step = model.global_step
## ---- summary----
self.build_summar... | 51.677966 | 120 | 0.642178 | 5,955 | 0.97655 | 0 | 0 | 0 | 0 | 0 | 0 | 1,114 | 0.182683 |
a7c14fda1fe9509c8caa57724445fdcaee4171b6 | 3,696 | py | Python | pytorch_translate/tasks/translation_from_pretrained_xlm.py | dzhulgakov/translate | 018d3eed8d93ff32e86c912e68045c7a3f4ed0b7 | [
"BSD-3-Clause"
] | 748 | 2018-05-02T17:12:53.000Z | 2022-03-26T04:44:44.000Z | pytorch_translate/tasks/translation_from_pretrained_xlm.py | dzhulgakov/translate | 018d3eed8d93ff32e86c912e68045c7a3f4ed0b7 | [
"BSD-3-Clause"
] | 352 | 2018-05-02T19:05:59.000Z | 2022-02-25T16:54:27.000Z | pytorch_translate/tasks/translation_from_pretrained_xlm.py | dzhulgakov/translate | 018d3eed8d93ff32e86c912e68045c7a3f4ed0b7 | [
"BSD-3-Clause"
] | 193 | 2018-05-02T17:14:56.000Z | 2022-02-24T21:10:56.000Z | #!/usr/bin/env python3
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
from fairse... | 39.319149 | 85 | 0.688582 | 3,042 | 0.823052 | 0 | 0 | 3,110 | 0.84145 | 0 | 0 | 1,740 | 0.470779 |
a7c26519485c15577e8b274b47dd3a678ef542d3 | 5,084 | py | Python | drugresnet/seya/layers/memnn2.py | Naghipourfar/CCLE | cd557928a003200c683861b29c607942029bffb1 | [
"MIT"
] | 429 | 2015-08-11T09:48:34.000Z | 2021-07-31T15:13:23.000Z | drugresnet/seya/layers/memnn2.py | Naghipourfar/CCLE | cd557928a003200c683861b29c607942029bffb1 | [
"MIT"
] | 55 | 2015-09-10T11:57:58.000Z | 2021-04-24T14:13:31.000Z | drugresnet/seya/layers/memnn2.py | Naghipourfar/CCLE | cd557928a003200c683861b29c607942029bffb1 | [
"MIT"
] | 135 | 2015-08-31T17:52:26.000Z | 2022-02-07T05:31:12.000Z | import theano.tensor as T
import keras.backend as K
from keras.layers.core import LambdaMerge
from keras import initializations
class MemN2N(LambdaMerge):
def __init__(self, layers, output_dim, input_dim, input_length,
memory_length, hops=3, bow_mode="bow", mode="adjacent",
emb_i... | 39.71875 | 78 | 0.54288 | 4,953 | 0.974233 | 0 | 0 | 0 | 0 | 0 | 0 | 1,542 | 0.303304 |
a7c2682f5396348598753e892a05447ab558cc24 | 419 | py | Python | nyan/utils/io.py | TWRogers/nyan | c224279467475c9ce81e4709dd357897e0e5c963 | [
"Apache-2.0"
] | 2 | 2019-10-11T16:41:16.000Z | 2019-10-11T16:42:08.000Z | nyan/utils/io.py | TWRogers/nyan | c224279467475c9ce81e4709dd357897e0e5c963 | [
"Apache-2.0"
] | null | null | null | nyan/utils/io.py | TWRogers/nyan | c224279467475c9ce81e4709dd357897e0e5c963 | [
"Apache-2.0"
] | null | null | null | import cv2
from PIL import Image
import os
import numpy as np
IMAGE_BE = os.environ.get('NYAN_IMAGE_BE', 'PIL')
if IMAGE_BE == 'PIL':
def IMREAD_FN(x):
return np.array(Image.open(x).convert('RGB')).astype(np.uint8)
elif IMAGE_BE == 'cv2':
def IMREAD_FN(x):
return cv2.imread(x).astype(np.uint... | 23.277778 | 77 | 0.668258 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 64 | 0.152745 |
a7c28ef23aa63e38de4b879a5620a01103796308 | 164 | py | Python | src/server.py | sqweelygig/a-pi-api | 7c83bf5d1a00e01a45edc7fda9b4887bf02b064a | [
"Apache-2.0"
] | null | null | null | src/server.py | sqweelygig/a-pi-api | 7c83bf5d1a00e01a45edc7fda9b4887bf02b064a | [
"Apache-2.0"
] | null | null | null | src/server.py | sqweelygig/a-pi-api | 7c83bf5d1a00e01a45edc7fda9b4887bf02b064a | [
"Apache-2.0"
] | null | null | null | import RPi.GPIO as GPIO
import connexion
if __name__ == '__main__':
app = connexion.App('a-pi-api')
app.add_api('v0/spec.yml')
app.run(host='0.0.0.0', port=80)
| 20.5 | 33 | 0.682927 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 0.256098 |
a7c34c83fcf273716cc8990f3dfde892e307229c | 661 | py | Python | detect_fraud_email_enron/tools/k_best_selector.py | gotamist/other_machine_learning | 70c7f5367ed5cf9b6fd4818cda16add24a2b468d | [
"MIT"
] | null | null | null | detect_fraud_email_enron/tools/k_best_selector.py | gotamist/other_machine_learning | 70c7f5367ed5cf9b6fd4818cda16add24a2b468d | [
"MIT"
] | null | null | null | detect_fraud_email_enron/tools/k_best_selector.py | gotamist/other_machine_learning | 70c7f5367ed5cf9b6fd4818cda16add24a2b468d | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Tue Sep 25 18:26:45 2018
@author: gotamist
"""
import sys
sys.path.append("../tools/")
from feature_format import featureFormat, targetFeatureSplit
from sklearn.feature_selection import SelectKBest
def KBestSelector(data_dict, features_list, k):
... | 28.73913 | 69 | 0.721634 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 118 | 0.178517 |
a7c3a82db91bce9cfb29cde148a1916bca6eaffc | 697 | py | Python | Python/179.py | jaimeliew1/Project_Euler_Solutions | 963c9c6d6571cade8f87341f97a6a2cd1af202bb | [
"MIT"
] | null | null | null | Python/179.py | jaimeliew1/Project_Euler_Solutions | 963c9c6d6571cade8f87341f97a6a2cd1af202bb | [
"MIT"
] | 1 | 2018-04-16T21:01:50.000Z | 2018-04-16T21:01:50.000Z | Python/179.py | jaimeliew1/Project_Euler_Solutions | 963c9c6d6571cade8f87341f97a6a2cd1af202bb | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Solution to Project Euler problem 179 - Consecutive positive divisors
Author: Jaime Liew
https://github.com/jaimeliew1/Project_Euler_Solutions
"""
def run():
N = int(1e7)
n_factors = [1 for _ in range(N + 1)]
# can start at 2 because 1 is a divisor for all numbers and wont c... | 19.914286 | 79 | 0.573888 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 328 | 0.470588 |
a7c3c43019bf1d3df920d62ddaf471e6b921d131 | 7,417 | py | Python | tweetx/environment.py | Druid-of-Luhn/TweetX | 15a2dc0ad619f846b40880ad5fc3ab690d835e0d | [
"MIT"
] | null | null | null | tweetx/environment.py | Druid-of-Luhn/TweetX | 15a2dc0ad619f846b40880ad5fc3ab690d835e0d | [
"MIT"
] | null | null | null | tweetx/environment.py | Druid-of-Luhn/TweetX | 15a2dc0ad619f846b40880ad5fc3ab690d835e0d | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import asyncio, entity, io, json, logging, queue, random, threading, time, websockets, whale
from bot import bot
from random import randrange
logging.basicConfig()
log = logging.getLogger('tweetx')
log.setLevel(logging.DEBUG)
class Event:
def __init__(self):
self.callbacks = []
... | 32.674009 | 145 | 0.556829 | 6,966 | 0.939194 | 0 | 0 | 0 | 0 | 960 | 0.129432 | 425 | 0.057301 |
a7c3c5875178bbdc7bd8d2fd3aaff1ff122b86d9 | 682 | py | Python | retired/example_process_discharge_simulation.py | changliao1025/pyswat | cdcda1375be8c0f71459a78438b1e9f8a22a77bc | [
"MIT"
] | 2 | 2021-12-11T01:39:00.000Z | 2022-02-15T17:57:45.000Z | retired/example_process_discharge_simulation.py | changliao1025/pyswat | cdcda1375be8c0f71459a78438b1e9f8a22a77bc | [
"MIT"
] | 5 | 2022-03-10T16:38:30.000Z | 2022-03-28T17:31:20.000Z | retired/example_process_discharge_simulation.py | changliao1025/pyswat | cdcda1375be8c0f71459a78438b1e9f8a22a77bc | [
"MIT"
] | null | null | null | from swaty.simulation.swat_main import swat_main
from swaty.swaty_read_model_configuration_file import swat_read_model_configuration_file
from swaty.classes.pycase import swaty
from swaty.postprocess.extract.swat_extract_stream_discharge import swat_extract_stream_discharge
sFilename_configuration_in = '/global/homes/... | 52.461538 | 110 | 0.879765 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 197 | 0.288856 |
a7c4df68721fac6742030901c0c135b22a7c5979 | 861 | py | Python | ThinkPython/chap9/ex9.py | sokolowskik/Tutorials | d2681d4f18b03e00f90f9132c77f0b23b74d2629 | [
"MIT"
] | null | null | null | ThinkPython/chap9/ex9.py | sokolowskik/Tutorials | d2681d4f18b03e00f90f9132c77f0b23b74d2629 | [
"MIT"
] | null | null | null | ThinkPython/chap9/ex9.py | sokolowskik/Tutorials | d2681d4f18b03e00f90f9132c77f0b23b74d2629 | [
"MIT"
] | null | null | null | def is_reverse(i, j):
"""
Convert 2-digit numbers to strings and check if they are palindromic.
If one of the numbers has less then 2 digits, fill with zeros.
"""
str_i = str(i)
str_j = str(j)
if len(str_i) < 2:
str_i = str_i.zfill(2)
if len(str_j) < 2:
str_j = str_j.zfil... | 26.90625 | 123 | 0.551684 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 263 | 0.305459 |
a7c5b09df90f26ab3c6cd5143e35bfba31e9f2b0 | 10,237 | py | Python | Segnet/训练.py | 1044197988/- | 5c3ee7c9431ae85c68f418901378326b91c6f00d | [
"Apache-2.0"
] | 186 | 2019-03-20T08:54:08.000Z | 2022-03-30T04:34:37.000Z | Segnet/训练.py | sunkaiyue0/Semantic-segmentation-of-remote-sensing-images | 5c3ee7c9431ae85c68f418901378326b91c6f00d | [
"Apache-2.0"
] | 6 | 2019-08-29T08:18:13.000Z | 2021-10-09T10:29:58.000Z | Segnet/训练.py | sunkaiyue0/Semantic-segmentation-of-remote-sensing-images | 5c3ee7c9431ae85c68f418901378326b91c6f00d | [
"Apache-2.0"
] | 60 | 2019-10-23T03:50:36.000Z | 2022-03-25T03:16:25.000Z | #coding=utf-8
import matplotlib
matplotlib.use("Agg")
import tensorflow as tf
import argparse
import numpy as np
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Conv2D,MaxPooling2D,UpSampling2D,BatchNormalization,Reshape,Permute,Activation
from tensorflow.keras.utils imp... | 40.623016 | 143 | 0.602911 | 0 | 0 | 2,195 | 0.210794 | 0 | 0 | 0 | 0 | 1,469 | 0.141074 |
a7ca81e026978ae19cb5d85995f5f61a2647b878 | 1,465 | py | Python | Python/295. FindMedianFromDataStream.py | nizD/LeetCode-Solutions | 7f4ca37bab795e0d6f9bfd9148a8fe3b62aa5349 | [
"MIT"
] | 263 | 2020-10-05T18:47:29.000Z | 2022-03-31T19:44:46.000Z | Python/295. FindMedianFromDataStream.py | nizD/LeetCode-Solutions | 7f4ca37bab795e0d6f9bfd9148a8fe3b62aa5349 | [
"MIT"
] | 1,264 | 2020-10-05T18:13:05.000Z | 2022-03-31T23:16:35.000Z | Python/295. FindMedianFromDataStream.py | nizD/LeetCode-Solutions | 7f4ca37bab795e0d6f9bfd9148a8fe3b62aa5349 | [
"MIT"
] | 760 | 2020-10-05T18:22:51.000Z | 2022-03-29T06:06:20.000Z | """
Problem:
--------
Design a data structure that supports the following two operations:
- `void addNum(int num)`: Add a integer number from the data stream to the data structure.
- `double findMedian()`: Return the median of all elements so far.
"""
class MedianFinder:
def __init__(self):
"""
... | 29.897959 | 90 | 0.595222 | 1,068 | 0.72901 | 0 | 0 | 0 | 0 | 0 | 0 | 832 | 0.567918 |
a7cab894219f6b6cb8d8b7237bfbc980ae9c6023 | 1,089 | py | Python | openproblems/data/human_blood_nestorowa2016.py | bendemeo/SingleCellOpenProblems | e4c009f8c232bdae4c9e20b8e435d0fe474b3daf | [
"MIT"
] | 134 | 2020-08-19T07:35:56.000Z | 2021-05-19T11:37:50.000Z | openproblems/data/human_blood_nestorowa2016.py | bendemeo/SingleCellOpenProblems | e4c009f8c232bdae4c9e20b8e435d0fe474b3daf | [
"MIT"
] | 175 | 2020-08-17T15:26:06.000Z | 2021-05-14T11:03:46.000Z | openproblems/data/human_blood_nestorowa2016.py | LuckyMD/SingleCellOpenProblems | 0ae39db494557e1dd9f28e59dda765527191eee1 | [
"MIT"
] | 46 | 2020-10-08T21:11:37.000Z | 2021-04-25T07:05:28.000Z | from . import utils
import os
import scanpy as sc
import scprep
import tempfile
URL = "https://ndownloader.figshare.com/files/25555751"
@utils.loader
def load_human_blood_nestorowa2016(test=False):
"""Download Nesterova data from Figshare."""
if test:
# load full data first, cached if available
... | 27.225 | 78 | 0.663912 | 0 | 0 | 0 | 0 | 948 | 0.870523 | 0 | 0 | 348 | 0.319559 |
a7cb29cc32a2319fccf961ffb48796199a5ff0d3 | 1,110 | py | Python | jskparser/ast/stmt/ifstmt.py | natebragg/java-sketch | f5ac26f2cc46ae4556f9a61c55afd37f55c961ff | [
"MIT"
] | 15 | 2015-12-15T18:33:50.000Z | 2021-09-29T11:48:54.000Z | jskparser/ast/stmt/ifstmt.py | natebragg/java-sketch | f5ac26f2cc46ae4556f9a61c55afd37f55c961ff | [
"MIT"
] | 11 | 2015-11-16T22:14:58.000Z | 2021-09-23T05:28:40.000Z | jskparser/ast/stmt/ifstmt.py | natebragg/java-sketch | f5ac26f2cc46ae4556f9a61c55afd37f55c961ff | [
"MIT"
] | 8 | 2015-11-16T21:50:08.000Z | 2021-03-23T15:15:34.000Z | #!/usr/bin/env python
from .statement import Statement
from . import _import
class IfStmt(Statement):
def __init__(self, kwargs={}):
super(IfStmt, self).__init__(kwargs)
locs = _import()
# Expression condition;
con = kwargs.get(u'condition', {})
self._condition = locs... | 27.75 | 74 | 0.621622 | 1,029 | 0.927027 | 0 | 0 | 356 | 0.320721 | 0 | 0 | 135 | 0.121622 |
a7cb442e6c3a091d70b52f85f03d36c21282e2fd | 8,501 | py | Python | stdpages/profiling.py | nhartland/dashengine | 7e9f68f0fb1c447fa438eb18b2430cd9095ab17a | [
"MIT"
] | 12 | 2020-02-06T02:55:32.000Z | 2021-11-08T13:50:42.000Z | stdpages/profiling.py | nhartland/dashengine | 7e9f68f0fb1c447fa438eb18b2430cd9095ab17a | [
"MIT"
] | 1 | 2020-01-31T10:20:51.000Z | 2020-01-31T10:20:51.000Z | stdpages/profiling.py | nhartland/dashengine | 7e9f68f0fb1c447fa438eb18b2430cd9095ab17a | [
"MIT"
] | 2 | 2020-06-19T01:35:11.000Z | 2021-06-07T09:01:18.000Z | """ Page for the monitoring of query performance characteristics. """
import json
# Plotly
import plotly.graph_objs as go
# Dash
import dash_table as dt
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
# DashEngine
from dashengine.dashapp import dasha... | 33.337255 | 95 | 0.606399 | 0 | 0 | 0 | 0 | 3,631 | 0.427126 | 0 | 0 | 3,432 | 0.403717 |
a7cd3abce5d928c3da35821e7b78b76d44e1ec29 | 2,465 | py | Python | trial_inputs_pb2.py | adeandrade/bayesian-optimizer | 30427943d69130179f7ccb32f63a08a1c57462f8 | [
"Apache-2.0"
] | null | null | null | trial_inputs_pb2.py | adeandrade/bayesian-optimizer | 30427943d69130179f7ccb32f63a08a1c57462f8 | [
"Apache-2.0"
] | null | null | null | trial_inputs_pb2.py | adeandrade/bayesian-optimizer | 30427943d69130179f7ccb32f63a08a1c57462f8 | [
"Apache-2.0"
] | null | null | null | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: trial_inputs.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _... | 32.012987 | 196 | 0.76146 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 725 | 0.294118 |
a7cdd2df8475207fb1659d9d8f61d9efb7105a47 | 22,348 | py | Python | neutron_plugin_contrail/plugins/opencontrail/vnc_client/router_res_handler.py | alexelshamouty/tf-neutron-plugin | 3effc5e80f3fa0d8d0252d5f994a36386b987f7f | [
"Apache-2.0"
] | 3 | 2021-09-07T05:02:24.000Z | 2022-02-11T04:25:43.000Z | neutron_plugin_contrail/plugins/opencontrail/vnc_client/router_res_handler.py | alexelshamouty/tf-neutron-plugin | 3effc5e80f3fa0d8d0252d5f994a36386b987f7f | [
"Apache-2.0"
] | 1 | 2021-09-27T08:05:08.000Z | 2021-09-27T08:05:08.000Z | neutron_plugin_contrail/plugins/opencontrail/vnc_client/router_res_handler.py | alexelshamouty/tf-neutron-plugin | 3effc5e80f3fa0d8d0252d5f994a36386b987f7f | [
"Apache-2.0"
] | 5 | 2020-07-14T07:52:05.000Z | 2022-03-24T15:08:02.000Z | # Copyright 2015. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... | 43.05973 | 113 | 0.593297 | 21,253 | 0.951002 | 0 | 0 | 169 | 0.007562 | 0 | 0 | 2,692 | 0.120458 |
a7ce8d54807f93e96a382235bdf7d3f14bebe67b | 467 | py | Python | src/screenlogger.py | swbooking/RobotMaria | 2553358629a870b10458564524315ff4cfda0bd1 | [
"MIT"
] | null | null | null | src/screenlogger.py | swbooking/RobotMaria | 2553358629a870b10458564524315ff4cfda0bd1 | [
"MIT"
] | null | null | null | src/screenlogger.py | swbooking/RobotMaria | 2553358629a870b10458564524315ff4cfda0bd1 | [
"MIT"
] | null | null | null | class ScreenLogger:
def __init__(self, loghandler=None, verbose = True):
self.LogMessage = None
self.LogHandler = loghandler
self.Verbose = verbose
return
def Log(self, message):
if self.LogMessage != message:
self.LogMessage = message
if self.LogH... | 31.133333 | 56 | 0.578158 | 466 | 0.997859 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a7d11260063260bb345e5b5925deed0ee559e5c2 | 725 | py | Python | ffmpeg-3.2.5/tools/zmqshell.py | huyu0415/FFmpeg | 7a3f75791cb3255805bf17126d4074a328f46c8c | [
"Apache-2.0"
] | 3,645 | 2016-08-25T09:31:17.000Z | 2022-03-25T06:28:34.000Z | ffmpeg-3.2.5/tools/zmqshell.py | huyu0415/FFmpeg | 7a3f75791cb3255805bf17126d4074a328f46c8c | [
"Apache-2.0"
] | 395 | 2020-04-18T08:22:18.000Z | 2021-12-08T13:04:49.000Z | ffmpeg-3.2.5/tools/zmqshell.py | huyu0415/FFmpeg | 7a3f75791cb3255805bf17126d4074a328f46c8c | [
"Apache-2.0"
] | 764 | 2016-08-26T09:19:00.000Z | 2022-03-22T12:07:16.000Z | #!/usr/bin/env python2
import sys, zmq, cmd
class LavfiCmd(cmd.Cmd):
prompt = 'lavfi> '
def __init__(self, bind_address):
context = zmq.Context()
self.requester = context.socket(zmq.REQ)
self.requester.connect(bind_address)
cmd.Cmd.__init__(self)
def onecmd(self, cmd):
... | 26.851852 | 79 | 0.627586 | 482 | 0.664828 | 0 | 0 | 0 | 0 | 0 | 0 | 139 | 0.191724 |
a7d18ac67c2f08b3162719b80096d5cd8f93412f | 984 | py | Python | minidoc/minidoc.py | ihgazni2/minidoc | b2859069bad5e718692b57d5498389473c66bd2e | [
"MIT"
] | null | null | null | minidoc/minidoc.py | ihgazni2/minidoc | b2859069bad5e718692b57d5498389473c66bd2e | [
"MIT"
] | null | null | null | minidoc/minidoc.py | ihgazni2/minidoc | b2859069bad5e718692b57d5498389473c66bd2e | [
"MIT"
] | null | null | null | from minidoc import svg
from minidoc import tst
from efdir import fs
import shutil
import os
def creat_one_svg(k,v,i=None,**kwargs):
if("dst_dir" in kwargs):
dst_dir = kwargs['dst_dir']
else:
dst_dir = "./images"
screen_size = svg.get_screen_size(v,**kwargs)
kwargs['screen_size'] = scre... | 20.081633 | 55 | 0.602642 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 163 | 0.16565 |
a7d2785f99402cef40bc5312be1781d2a6eaf683 | 3,843 | py | Python | qinhaifang/src/evalTools/script/convert_label_map_to_geojson.py | SpaceNetChallenge/BuildingFootprintDetectors | 3def3c44b5847c744cd2f3356182892d92496579 | [
"Apache-2.0"
] | 161 | 2017-02-03T05:33:01.000Z | 2022-03-31T02:11:21.000Z | qinhaifang/src/evalTools/script/convert_label_map_to_geojson.py | SpaceNetChallenge/BuildingFootprintDetectors | 3def3c44b5847c744cd2f3356182892d92496579 | [
"Apache-2.0"
] | 5 | 2017-02-03T05:51:38.000Z | 2019-06-18T18:54:00.000Z | qinhaifang/src/evalTools/script/convert_label_map_to_geojson.py | SpaceNetChallenge/BuildingFootprintDetectors | 3def3c44b5847c744cd2f3356182892d92496579 | [
"Apache-2.0"
] | 76 | 2017-03-23T23:15:46.000Z | 2022-02-10T21:58:18.000Z | #!/usr/bin/env python
# encoding=gbk
"""
Convert mask to geojson format
"""
import os
import os.path
import re
import logging
import logging.config
from multiprocessing import Pool
import skimage.io as sk
import numpy as np
import scipy.io as sio
import setting
from spaceNet import geoTools as gT
import spaceNet.ima... | 40.03125 | 118 | 0.674993 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 568 | 0.147801 |
a7d285c6e1ae9ac1ca025fdba430e5dba345f5fd | 412 | py | Python | core/migrations/0008_touristspot_photo.py | isnardsilva/django-attractions-api | feade087d840b72b603d2a4bf538b8c362aa91bd | [
"MIT"
] | 1 | 2021-12-31T12:59:49.000Z | 2021-12-31T12:59:49.000Z | core/migrations/0008_touristspot_photo.py | isnardsilva/django-attractions-api | feade087d840b72b603d2a4bf538b8c362aa91bd | [
"MIT"
] | null | null | null | core/migrations/0008_touristspot_photo.py | isnardsilva/django-attractions-api | feade087d840b72b603d2a4bf538b8c362aa91bd | [
"MIT"
] | null | null | null | # Generated by Django 3.0.7 on 2020-07-19 03:55
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('core', '0007_auto_20200614_0254'),
]
operations = [
migrations.AddField(
model_name='touristspot',
name='photo',
... | 21.684211 | 77 | 0.604369 | 319 | 0.774272 | 0 | 0 | 0 | 0 | 0 | 0 | 104 | 0.252427 |
a7d331c87b462d04d58d991edd7603c1f1659a3c | 712 | py | Python | tests/integration/test_user_invite.py | donovan-PNW/dwellinglybackend | 448df61f6ea81f00dde7dab751f8b2106f0eb7b1 | [
"MIT"
] | 15 | 2020-07-09T20:51:09.000Z | 2021-11-28T21:59:02.000Z | tests/integration/test_user_invite.py | donovan-PNW/dwellinglybackend | 448df61f6ea81f00dde7dab751f8b2106f0eb7b1 | [
"MIT"
] | 148 | 2020-03-28T22:10:30.000Z | 2021-12-19T09:22:59.000Z | tests/integration/test_user_invite.py | donovan-PNW/dwellinglybackend | 448df61f6ea81f00dde7dab751f8b2106f0eb7b1 | [
"MIT"
] | 30 | 2020-03-12T02:31:27.000Z | 2021-07-29T02:40:36.000Z | import pytest
from models.user import RoleEnum
from unittest.mock import patch
from resources.email import Email
@pytest.mark.usefixtures("client_class", "empty_test_db")
class TestUserInvite:
def setup(self):
self.endpoint = "/api/user/invite"
@patch.object(Email, "send_user_invite_msg")
def tes... | 30.956522 | 84 | 0.695225 | 538 | 0.755618 | 0 | 0 | 596 | 0.837079 | 0 | 0 | 92 | 0.129213 |
a7d350ee5dfc4cbea31fc30d8d13f43745b214cc | 778 | py | Python | setup.py | Louis-Navarro/decorators | 6339a32aae66608cbf7fd8a1221b47ae88992d53 | [
"MIT"
] | null | null | null | setup.py | Louis-Navarro/decorators | 6339a32aae66608cbf7fd8a1221b47ae88992d53 | [
"MIT"
] | null | null | null | setup.py | Louis-Navarro/decorators | 6339a32aae66608cbf7fd8a1221b47ae88992d53 | [
"MIT"
] | null | null | null | import setuptools
from decorators.__init__ import __version__ as v
with open('README.md') as fp:
long_description = fp.read()
setuptools.setup(
name='decorators-LOUIS-NAVARRO',
version=v,
author='Louis Navarro',
description='Function decorators I made',
long_description=long_description,
l... | 29.923077 | 54 | 0.669666 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 347 | 0.446015 |
a7d4fbe6bb2f93758e5bbd91a20e5e655a876720 | 7,386 | py | Python | test_undirect_graf.py | rodrigondec/Grafos | dd3bb7ffd56909395cc211c6d68f9e3eaa5fa9ba | [
"Unlicense"
] | null | null | null | test_undirect_graf.py | rodrigondec/Grafos | dd3bb7ffd56909395cc211c6d68f9e3eaa5fa9ba | [
"Unlicense"
] | null | null | null | test_undirect_graf.py | rodrigondec/Grafos | dd3bb7ffd56909395cc211c6d68f9e3eaa5fa9ba | [
"Unlicense"
] | null | null | null | from grafo import Grafo, DiGrafo
from no import No
from aresta import Aresta
import unittest
class TestStringMethods(unittest.TestCase):
def setUp(self):
self.grafo = Grafo()
def test_atingivel(self):
self.grafo.insertNo(No(1))
self.grafo.insertNo(No(2))
self.grafo.insertNo(No(3))
self.grafo.insertNo(No(4... | 29.544 | 58 | 0.716084 | 7,247 | 0.981181 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.001354 |
a7d69ea8dc41116a3648dee50adba54f390698c0 | 2,476 | py | Python | fancy/config/option.py | susautw/fancy-config | 25a3bd51a40df071d00327640caa05b6288bd970 | [
"MIT"
] | 1 | 2022-03-17T04:47:52.000Z | 2022-03-17T04:47:52.000Z | fancy/config/option.py | susautw/fancy-config | 25a3bd51a40df071d00327640caa05b6288bd970 | [
"MIT"
] | 9 | 2021-12-01T08:01:52.000Z | 2022-03-16T13:05:07.000Z | fancy/config/option.py | susautw/fancy-config | 25a3bd51a40df071d00327640caa05b6288bd970 | [
"MIT"
] | 1 | 2022-03-07T09:29:06.000Z | 2022-03-07T09:29:06.000Z | import warnings
from typing import Any, Callable, TYPE_CHECKING
from . import ConfigStructure
from .process import auto_process_typ
from ..config import identical
if TYPE_CHECKING:
from ..config import BaseConfig
class Option:
_type: Callable[[Any], Any]
_required: bool
_nullable: bool
_default:... | 26.913043 | 96 | 0.631664 | 2,254 | 0.910339 | 0 | 0 | 216 | 0.087237 | 0 | 0 | 162 | 0.065428 |
a7d7e86babb70ea3a37edccf05c803e8419f09d7 | 7,128 | py | Python | data_loader_manual.py | Chen-Yifan/DEM_building_segmentation | 1e9a41e87ec0ab1777a65146c5b31d88938480b7 | [
"MIT"
] | null | null | null | data_loader_manual.py | Chen-Yifan/DEM_building_segmentation | 1e9a41e87ec0ab1777a65146c5b31d88938480b7 | [
"MIT"
] | null | null | null | data_loader_manual.py | Chen-Yifan/DEM_building_segmentation | 1e9a41e87ec0ab1777a65146c5b31d88938480b7 | [
"MIT"
] | null | null | null | from PIL import Image
import numpy as np
import os
import re
import scipy.misc
import random
import sys
import csv
def is_feature_present(input_array):
return (np.sum(input_array!=0)>10) # select the image with more than 50 pixel label
def load_feature_data(dataroot, frame_dir, mask_dir, feature_type... | 40.271186 | 157 | 0.571409 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,801 | 0.252666 |
a7d7fa784412398969563696b9937bee43c267bd | 5,010 | py | Python | autotest/osr/osr_micoordsys.py | robe2/gdal | 78573efe69f1506c112209501068c0b043438295 | [
"MIT"
] | null | null | null | autotest/osr/osr_micoordsys.py | robe2/gdal | 78573efe69f1506c112209501068c0b043438295 | [
"MIT"
] | null | null | null | autotest/osr/osr_micoordsys.py | robe2/gdal | 78573efe69f1506c112209501068c0b043438295 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
###############################################################################
# $Id$
#
# Project: GDAL/OGR Test Suite
# Purpose: Test some MITAB specific translation issues.
# Author: Even Rouault, <even dot rouault at mines dash paris dot org>
#
#############################################... | 36.838235 | 138 | 0.644311 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,245 | 0.647705 |
a7d8ff63a50736d94af9bb52ce5984969f4467d7 | 2,194 | py | Python | maintain.py | keioni/ink_01 | 5c87dcf16924dfa7bf9d0e3a7250ec1542045e72 | [
"MIT"
] | null | null | null | maintain.py | keioni/ink_01 | 5c87dcf16924dfa7bf9d0e3a7250ec1542045e72 | [
"MIT"
] | null | null | null | maintain.py | keioni/ink_01 | 5c87dcf16924dfa7bf9d0e3a7250ec1542045e72 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import json
from ink.maintainer import make_pickle, DatabaseMaintainer
from ink.sys.config import CONF
from ink.sys.database.connector.mysql import MySQLConnector
from ink.sys.database.connector.null import NullConnector
def _get_db_connector(dry_run: bool = ... | 23.094737 | 70 | 0.635369 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 235 | 0.10711 |
a7da1b3b72d6032aefdb12dd63739b250c1938d8 | 5,261 | py | Python | serpentmonkee/UtilsMonkee.py | anthromorphic-ai/serpentmonkee | 505bbe03fd8a77bc7737e46b8e27e0d91b87835b | [
"MIT"
] | null | null | null | serpentmonkee/UtilsMonkee.py | anthromorphic-ai/serpentmonkee | 505bbe03fd8a77bc7737e46b8e27e0d91b87835b | [
"MIT"
] | null | null | null | serpentmonkee/UtilsMonkee.py | anthromorphic-ai/serpentmonkee | 505bbe03fd8a77bc7737e46b8e27e0d91b87835b | [
"MIT"
] | null | null | null |
import requests
from dateutil import parser
import json
from datetime import datetime, timezone
import time
import sys
import random
import uuid
import copy
# --------------------------------------------------------------------
class RoundTripEncoder(json.JSONEncoder):
DATE_FORMAT = "%Y-%m-%d"
TIME_FORMAT ... | 27.984043 | 104 | 0.553317 | 2,761 | 0.524805 | 0 | 0 | 0 | 0 | 0 | 0 | 1,053 | 0.200152 |
a7dac603aaf8f14d5ec261bf9ee335b205d9767b | 201 | py | Python | backend/app/bucket.py | thanet-s/subme-selected-topics-project | fac1630839c580bbd66b93f2dc9004c8637a7b15 | [
"MIT"
] | null | null | null | backend/app/bucket.py | thanet-s/subme-selected-topics-project | fac1630839c580bbd66b93f2dc9004c8637a7b15 | [
"MIT"
] | null | null | null | backend/app/bucket.py | thanet-s/subme-selected-topics-project | fac1630839c580bbd66b93f2dc9004c8637a7b15 | [
"MIT"
] | null | null | null | from minio import Minio
import os
minio_client = Minio(
os.environ['MINIO_HOST'],
access_key=os.environ['MINIO_ROOT_USER'],
secret_key=os.environ['MINIO_ROOT_PASSWORD'],
secure=False
) | 22.333333 | 49 | 0.731343 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 0.248756 |
a7db0d9490bcb10d7f38e66a3fcc8a697cd073d0 | 2,642 | py | Python | publications/PrADA/experiments/income_census/train_config.py | UMDataScienceLab/research | 279ee21444817903cb9ef9dc9d9583a502865336 | [
"Apache-2.0"
] | 49 | 2020-11-04T03:15:59.000Z | 2022-03-23T12:21:15.000Z | publications/PrADA/experiments/income_census/train_config.py | UMDataScienceLab/research | 279ee21444817903cb9ef9dc9d9583a502865336 | [
"Apache-2.0"
] | 2 | 2021-09-12T02:36:42.000Z | 2021-11-25T13:19:58.000Z | publications/PrADA/experiments/income_census/train_config.py | UMDataScienceLab/research | 279ee21444817903cb9ef9dc9d9583a502865336 | [
"Apache-2.0"
] | 11 | 2020-11-11T12:14:49.000Z | 2022-03-08T16:17:05.000Z | from data_process.census_process.census_data_creation_config import census_data_creation
fg_feature_extractor_architecture_list = [[28, 56, 28, 14],
[25, 50, 25, 12],
[56, 86, 56, 18],
[27, 54,... | 38.289855 | 92 | 0.608251 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,202 | 0.454958 |
a7dbae6b6e0c89662cba5d9864585c9b7e89ef3a | 444 | py | Python | tools/create_transmit_grouped_command_cron.py | Vayel/GUCEM-BVC | e5645dec332756d3c9db083abf2c8f3625a10d4d | [
"WTFPL"
] | 2 | 2016-09-23T18:02:40.000Z | 2017-04-28T18:35:59.000Z | tools/create_transmit_grouped_command_cron.py | Vayel/GUCEM-BVC | e5645dec332756d3c9db083abf2c8f3625a10d4d | [
"WTFPL"
] | 82 | 2016-09-26T14:38:31.000Z | 2018-02-12T18:47:12.000Z | tools/create_transmit_grouped_command_cron.py | Vayel/GUCEM-BVC | e5645dec332756d3c9db083abf2c8f3625a10d4d | [
"WTFPL"
] | null | null | null | import os
from cron_helper import create
JOB_COMMENT = 'BVC transmit grouped command reminder'
HERE = os.path.dirname(os.path.abspath(__file__))
def create_job(cron):
job = cron.new(
command=os.path.join(HERE, 'manage.sh transmit_grouped_command_reminder'),
comment=JOB_COMMENT,
)
job.day... | 21.142857 | 82 | 0.684685 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 94 | 0.211712 |
a7ddce06c356fe1ffbf7a25faa291f2561e6dd85 | 2,157 | py | Python | network/plot_along_subunits.py | AspirinCode/MD-analysis-tools-scripts | dfc0d282c9a844f5b8b1935a3ae74b1aff577ff9 | [
"MIT"
] | 5 | 2020-01-29T01:01:54.000Z | 2022-02-11T09:19:20.000Z | network/plot_along_subunits.py | AspirinCode/MD-analysis-tools-scripts | dfc0d282c9a844f5b8b1935a3ae74b1aff577ff9 | [
"MIT"
] | null | null | null | network/plot_along_subunits.py | AspirinCode/MD-analysis-tools-scripts | dfc0d282c9a844f5b8b1935a3ae74b1aff577ff9 | [
"MIT"
] | null | null | null | import pickle
import numpy as np
import matplotlib.pyplot as plt
i = 1
fig = plt.figure(figsize=(30,30))
for pickle_file in pickle_list:
c_B = pickle.load(open(pickle_file, "rb"))
#plot_c_B(c_B, f"bet_centrality_with_{pickle_file[19:-4]}.png")
ax = fig.add_subplot(5,1,i)
#label = figname[-6:-4].upper... | 31.26087 | 88 | 0.51414 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 587 | 0.272137 |
38eb4d628bf96b1cec0ba5a9060d8732e87f164b | 276 | py | Python | runme.py | AndreWohnsland/Cocktailmaker_AW | 30efdcb85d7fb58ac2980c873c611d7b9c2b37b1 | [
"MIT"
] | 37 | 2019-07-06T11:54:08.000Z | 2022-01-21T12:26:16.000Z | runme.py | AndreWohnsland/Cocktailmaker_AW | 30efdcb85d7fb58ac2980c873c611d7b9c2b37b1 | [
"MIT"
] | 5 | 2019-12-09T07:44:08.000Z | 2022-02-01T12:00:24.000Z | runme.py | AndreWohnsland/Cocktailmaker_AW | 30efdcb85d7fb58ac2980c873c611d7b9c2b37b1 | [
"MIT"
] | 4 | 2019-07-06T12:45:01.000Z | 2021-12-29T17:09:44.000Z | import sys
from PyQt5.QtWidgets import QApplication
import src_ui.setup_mainwindow as setupui
if __name__ == "__main__":
app = QApplication(sys.argv)
w = setupui.MainScreen()
w.showFullScreen()
w.setFixedSize(800, 480)
sys.exit(app.exec_())
| 21.230769 | 42 | 0.684783 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.036232 |
38ec2565ef6e55d70bfb76a776cd7b6192708820 | 8,271 | py | Python | src/ellalgo/ell_stable.py | luk036/ellalgo | 8e83587b271f35c906c0d0aa4175dac153e5e29b | [
"MIT"
] | null | null | null | src/ellalgo/ell_stable.py | luk036/ellalgo | 8e83587b271f35c906c0d0aa4175dac153e5e29b | [
"MIT"
] | null | null | null | src/ellalgo/ell_stable.py | luk036/ellalgo | 8e83587b271f35c906c0d0aa4175dac153e5e29b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import math
from typing import Tuple, Union
import numpy as np
from .cutting_plane import CUTStatus
Arr = Union[np.ndarray]
class ell_stable:
"""Ellipsoid Search Space
ell_stable = {x | (x − xc)' Q^−1 (x − xc) ≤ κ}
Returns:
[type] -- [description]
"""
... | 28.42268 | 82 | 0.489784 | 8,172 | 0.981504 | 0 | 0 | 310 | 0.037233 | 0 | 0 | 2,908 | 0.349267 |
38ec28f788cf955ae54138334251cf48eba69a0b | 855 | py | Python | app/auth/forms.py | PhysicsUofRAUI/lifeLongLearning | 36e098d4319d3500509861454fa3e27a67416802 | [
"MIT"
] | null | null | null | app/auth/forms.py | PhysicsUofRAUI/lifeLongLearning | 36e098d4319d3500509861454fa3e27a67416802 | [
"MIT"
] | 38 | 2020-06-09T00:07:09.000Z | 2021-02-06T17:18:20.000Z | app/auth/forms.py | PhysicsUofRAUI/lifeLongLearning | 36e098d4319d3500509861454fa3e27a67416802 | [
"MIT"
] | null | null | null | from flask_wtf import FlaskForm
from wtforms import PasswordField, StringField, SubmitField
from wtforms.validators import DataRequired
#
# Purpose: This from will be used to collect the information for the user logging
# and logging out.
#
# Fields:
# Password: The password to validate the user
# Username... | 32.884615 | 85 | 0.71462 | 243 | 0.284211 | 0 | 0 | 0 | 0 | 0 | 0 | 526 | 0.615205 |
38ec8de985f6a5e8fed887f162aa2455ff186416 | 1,365 | py | Python | netmiko/f5/f5_tmsh_ssh.py | josephwhite13/netmiko | c08c5ebb3484383f034e22b9576f88be07525f72 | [
"MIT"
] | 1 | 2021-04-13T19:18:57.000Z | 2021-04-13T19:18:57.000Z | netmiko/f5/f5_tmsh_ssh.py | josephwhite13/netmiko | c08c5ebb3484383f034e22b9576f88be07525f72 | [
"MIT"
] | null | null | null | netmiko/f5/f5_tmsh_ssh.py | josephwhite13/netmiko | c08c5ebb3484383f034e22b9576f88be07525f72 | [
"MIT"
] | null | null | null | import time
from netmiko.base_connection import BaseConnection
class F5TmshSSH(BaseConnection):
def session_preparation(self):
"""Prepare the session after the connection has been established."""
self._test_channel_read()
self.set_base_prompt()
self.tmsh_mode()
self.set_bas... | 33.292683 | 78 | 0.641026 | 1,299 | 0.951648 | 0 | 0 | 0 | 0 | 0 | 0 | 399 | 0.292308 |
38eda790aa9bd3615e42c068cced417ca94aa56a | 2,099 | py | Python | tools/database_tool.py | noahzhy/qumaishou | f776e5c750b350ca3b741fccf3e5dfd199c1296b | [
"Apache-2.0"
] | null | null | null | tools/database_tool.py | noahzhy/qumaishou | f776e5c750b350ca3b741fccf3e5dfd199c1296b | [
"Apache-2.0"
] | null | null | null | tools/database_tool.py | noahzhy/qumaishou | f776e5c750b350ca3b741fccf3e5dfd199c1296b | [
"Apache-2.0"
] | null | null | null | import os
import pandas as pd
import sys
import glob
# 导入同级目录下其他文件夹下的文件
sys.path.append("./")
db_dir_path = 'database'
def db_save(db_name, df):
# index 表示是否显示行名，default=True
df = remove_repetition(df)
if df.to_csv(os.path.join(db_dir_path, '{}.csv'.format(db_name)), index=False, sep=','):
retur... | 23.852273 | 92 | 0.666508 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 744 | 0.338644 |
38ef272433c8c121f27894e2882710bf38e90294 | 1,331 | py | Python | flika/tests/test_settings.py | flika-org/flika | 68b87e8f75f77f4b59344e418c7783b24184adaa | [
"MIT"
] | 19 | 2016-08-11T21:17:17.000Z | 2021-04-30T19:21:03.000Z | flika/tests/test_settings.py | flika-org/flika | 68b87e8f75f77f4b59344e418c7783b24184adaa | [
"MIT"
] | 28 | 2017-03-15T18:40:33.000Z | 2021-06-01T20:35:50.000Z | flika/tests/test_settings.py | flika-org/flika | 68b87e8f75f77f4b59344e418c7783b24184adaa | [
"MIT"
] | 2 | 2019-03-08T18:51:12.000Z | 2019-05-05T16:31:15.000Z | from .. import global_vars as g
from ..window import Window
import numpy as np
from ..roi import makeROI
class TestSettings():
def test_random_roi_color(self):
initial = g.settings['roi_color']
g.settings['roi_color'] = 'random'
w1 = Window(np.random.random([10, 10, 10]))
roi1 = makeROI('rectangle', [[1, 1],... | 34.128205 | 139 | 0.661908 | 1,224 | 0.919609 | 0 | 0 | 0 | 0 | 0 | 0 | 396 | 0.297521 |
38f003c85d91841bc389c08c6a91fa5429cad832 | 40,888 | py | Python | tests/test_runner.py | varunvarma/panoptes | 733e1b17e01d47fe0a399e2fe635f614cc5a0b88 | [
"Apache-2.0"
] | null | null | null | tests/test_runner.py | varunvarma/panoptes | 733e1b17e01d47fe0a399e2fe635f614cc5a0b88 | [
"Apache-2.0"
] | null | null | null | tests/test_runner.py | varunvarma/panoptes | 733e1b17e01d47fe0a399e2fe635f614cc5a0b88 | [
"Apache-2.0"
] | null | null | null | """
Copyright 2018, Oath Inc.
Licensed under the terms of the Apache 2.0 license. See LICENSE file in project root for terms.
"""
import re
import unittest
from mock import patch, MagicMock, Mock, PropertyMock
from testfixtures import LogCapture
from yahoo_panoptes.framework.plugins.panoptes_base_plugin import Panopt... | 60.574815 | 123 | 0.531183 | 39,358 | 0.962581 | 0 | 0 | 11,389 | 0.278541 | 0 | 0 | 14,233 | 0.348097 |
38f0f18dc070774e4c59dd082f508779d0e46e34 | 940 | py | Python | root/tpd_near_trainstops_per_line.py | transitanalystisarel/TransitAnalystIsrael | 341de9272b352c18333ff136a00de0b97cd82216 | [
"MIT"
] | null | null | null | root/tpd_near_trainstops_per_line.py | transitanalystisarel/TransitAnalystIsrael | 341de9272b352c18333ff136a00de0b97cd82216 | [
"MIT"
] | null | null | null | root/tpd_near_trainstops_per_line.py | transitanalystisarel/TransitAnalystIsrael | 341de9272b352c18333ff136a00de0b97cd82216 | [
"MIT"
] | 3 | 2019-05-08T04:36:03.000Z | 2020-11-23T19:46:52.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# collect a set of trip_id s at all stops in a GTFS file over the selected week of the service period starting at serviceweekstartdate
# filter stops near trainstations based on input txt file - stopsneartrainstop_post_edit
# merge sets of trips at stops near each trainst... | 40.869565 | 134 | 0.811702 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 404 | 0.429787 |
38f18e910ceb0b6a8c30ade6eeea28431583e6f1 | 5,252 | py | Python | merlin/modules/normalization.py | ethereon/merlin | 0babfed51e65197086d74479a1ca9150259b4f7f | [
"BSD-3-Clause"
] | 1 | 2019-08-15T16:22:20.000Z | 2019-08-15T16:22:20.000Z | merlin/modules/normalization.py | ethereon/merlin | 0babfed51e65197086d74479a1ca9150259b4f7f | [
"BSD-3-Clause"
] | null | null | null | merlin/modules/normalization.py | ethereon/merlin | 0babfed51e65197086d74479a1ca9150259b4f7f | [
"BSD-3-Clause"
] | null | null | null | from typing import Callable, Optional, Union
import tensorflow as tf
from merlin.initializers import Init
from merlin.modules.keras import KerasAdapter
from merlin.shape import Axis
from merlin.spec import DynamicSpec, Spec
class BatchNormalization(KerasAdapter, tf.keras.layers.BatchNormalization):
class Confi... | 41.354331 | 83 | 0.653465 | 5,020 | 0.955826 | 0 | 0 | 361 | 0.068736 | 0 | 0 | 3,032 | 0.577304 |
38f2cb2b1272511384ed4a1d9e959be7afec0fff | 3,095 | py | Python | Plots/Bar/NCL_bar_2.py | learn2free/GeoCAT-examples | 3ac152a767e78a362a8ebb6f677005f3de320ca6 | [
"Apache-2.0"
] | 1 | 2021-05-09T02:54:10.000Z | 2021-05-09T02:54:10.000Z | Plots/Bar/NCL_bar_2.py | learn2free/GeoCAT-examples | 3ac152a767e78a362a8ebb6f677005f3de320ca6 | [
"Apache-2.0"
] | null | null | null | Plots/Bar/NCL_bar_2.py | learn2free/GeoCAT-examples | 3ac152a767e78a362a8ebb6f677005f3de320ca6 | [
"Apache-2.0"
] | null | null | null | """
NCL_bar_2.py
===============
This script illustrates the following concepts:
- Drawing bars instead of curves in an XY plot
- Changing the aspect ratio of a bar plot
- Drawing filled bars up or down based on a Y reference value
- Setting the minimum/maximum value of the Y axis in a bar plot
- Using n... | 37.289157 | 84 | 0.577383 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,652 | 0.533764 |
38f35744d4413bb5e881ac526e9d7f661c57bec0 | 5,248 | py | Python | gabbi/tests/test_driver.py | scottwallacesh/gabbi | 5e76332ac06cd075c11477b384ad5da1d2eaa9d5 | [
"Apache-2.0"
] | 145 | 2015-01-16T23:19:35.000Z | 2022-03-15T00:21:54.000Z | gabbi/tests/test_driver.py | scottwallacesh/gabbi | 5e76332ac06cd075c11477b384ad5da1d2eaa9d5 | [
"Apache-2.0"
] | 250 | 2015-01-02T11:20:06.000Z | 2022-03-22T19:55:18.000Z | gabbi/tests/test_driver.py | scottwallacesh/gabbi | 5e76332ac06cd075c11477b384ad5da1d2eaa9d5 | [
"Apache-2.0"
] | 49 | 2015-01-14T16:14:52.000Z | 2022-03-21T11:37:26.000Z | #
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under... | 44.10084 | 75 | 0.598895 | 4,560 | 0.868902 | 0 | 0 | 0 | 0 | 0 | 0 | 1,254 | 0.238948 |
38f399316a049f820f54f6ac2696a2ab3406ec0f | 4,779 | py | Python | mindspore/ops/operations/_inner_ops.py | ZephyrChenzf/mindspore | 8f191847cf71e12715ced96bc3575914f980127a | [
"Apache-2.0"
] | null | null | null | mindspore/ops/operations/_inner_ops.py | ZephyrChenzf/mindspore | 8f191847cf71e12715ced96bc3575914f980127a | [
"Apache-2.0"
] | null | null | null | mindspore/ops/operations/_inner_ops.py | ZephyrChenzf/mindspore | 8f191847cf71e12715ced96bc3575914f980127a | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 48.272727 | 120 | 0.623352 | 3,932 | 0.822766 | 0 | 0 | 1,255 | 0.262607 | 0 | 0 | 2,643 | 0.553045 |
38f39bc63224a405d7dddb6afc4bd67e4b1fcae8 | 434 | py | Python | migrations/versions/7f447c94347a_.py | tipabu/jazzband-website | 30102e87348924eb56b610e74609a3475d3a14de | [
"MIT"
] | null | null | null | migrations/versions/7f447c94347a_.py | tipabu/jazzband-website | 30102e87348924eb56b610e74609a3475d3a14de | [
"MIT"
] | null | null | null | migrations/versions/7f447c94347a_.py | tipabu/jazzband-website | 30102e87348924eb56b610e74609a3475d3a14de | [
"MIT"
] | null | null | null | """
Revision ID: 7f447c94347a
Revises: a78f4b5d7dee
Create Date: 2017-11-17 14:59:36.177805
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "7f447c94347a"
down_revision = "a78f4b5d7dee"
def upgrade():
op.add_column(
"projects", sa.Column("uploads_c... | 18.083333 | 80 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 214 | 0.493088 |
38f4002d6f513a5cbe6493011e435271c5396522 | 5,308 | py | Python | abcvoting/preferences.py | pbatko/abcvoting | 55a8e7e23e35a3620921e3f5426a09925e83640e | [
"MIT"
] | null | null | null | abcvoting/preferences.py | pbatko/abcvoting | 55a8e7e23e35a3620921e3f5426a09925e83640e | [
"MIT"
] | null | null | null | abcvoting/preferences.py | pbatko/abcvoting | 55a8e7e23e35a3620921e3f5426a09925e83640e | [
"MIT"
] | null | null | null | """
Dichotomous (approval) preferences and preference profiles
Voters are indexed by 0, ..., len(profile)
Candidates are indexed by 0, ..., profile.num_cand
"""
from abcvoting.misc import str_candset
from collections import OrderedDict
class Profile(object):
"""
Preference profiles
"""
def __init__(... | 35.152318 | 75 | 0.527882 | 5,064 | 0.954032 | 0 | 0 | 0 | 0 | 0 | 0 | 888 | 0.167295 |
38f53f3c9f560f0765e57f3e8c5f7abb2dffb240 | 1,035 | py | Python | java/create_solution.py | hermantai/kata | 1b1d7af2f46bca994bede3f8a937dff96015e415 | [
"Apache-2.0"
] | null | null | null | java/create_solution.py | hermantai/kata | 1b1d7af2f46bca994bede3f8a937dff96015e415 | [
"Apache-2.0"
] | null | null | null | java/create_solution.py | hermantai/kata | 1b1d7af2f46bca994bede3f8a937dff96015e415 | [
"Apache-2.0"
] | null | null | null | import os
import sys
templ = """package kata;
import static kata.Printer.*;
import java.util.*;
/**
* Cracking the coding interview 6th ed. p.XX(TODO)
*/
public class %(classname)s {
static int %(methodname)s(String str) {
return 0;
}
public static void main(String args[]) {
runSample("abcabcdd");
... | 19.903846 | 76 | 0.575845 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 541 | 0.522705 |
38f5e5531d57aca7c42b9394241ccc224319e068 | 310 | py | Python | tests/unit/helpers_test/test_password.py | alefeans/flask-base | e3daa4ce1020ba3711908c3ba5ef88b0cc599dfe | [
"MIT"
] | 11 | 2019-10-03T18:47:49.000Z | 2022-02-01T10:42:02.000Z | tests/unit/helpers_test/test_password.py | alefeans/flask-base | e3daa4ce1020ba3711908c3ba5ef88b0cc599dfe | [
"MIT"
] | null | null | null | tests/unit/helpers_test/test_password.py | alefeans/flask-base | e3daa4ce1020ba3711908c3ba5ef88b0cc599dfe | [
"MIT"
] | 8 | 2019-10-03T18:47:53.000Z | 2021-06-07T14:47:51.000Z | import pytest
from app.helpers import check_password, encrypt_password
@pytest.mark.parametrize('sent', [
('test'),
('changeme'),
('1234123'),
])
def test_if_check_password_and_encrypt_password_works_properly(sent):
expected = encrypt_password(sent)
assert check_password(sent, expected)
| 23.846154 | 69 | 0.745161 | 0 | 0 | 0 | 0 | 236 | 0.76129 | 0 | 0 | 31 | 0.1 |
38f71f66b4d3452d83d78d02e5968d474fc84f07 | 1,717 | py | Python | tests/output/test_pdf_to_png.py | ynikitenko/lena | d0fbae47f21007685edbd4e77bc91413421bebd1 | [
"Apache-2.0"
] | 4 | 2020-03-01T14:01:48.000Z | 2021-02-23T19:33:36.000Z | tests/output/test_pdf_to_png.py | ynikitenko/lena | d0fbae47f21007685edbd4e77bc91413421bebd1 | [
"Apache-2.0"
] | 1 | 2021-05-09T15:47:17.000Z | 2021-05-09T16:12:03.000Z | tests/output/test_pdf_to_png.py | ynikitenko/lena | d0fbae47f21007685edbd4e77bc91413421bebd1 | [
"Apache-2.0"
] | null | null | null | from __future__ import print_function
import os
import pytest
import subprocess
import sys
import lena.core
from lena.output import PDFToPNG
def test_pdf_to_png(mocker):
mocker.patch("subprocess.Popen.communicate", return_value=("stdout", "stderr"))
mocker.patch("subprocess.Popen.returncode", return_value=T... | 35.040816 | 86 | 0.608037 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 672 | 0.39138 |
38f9a10a36632913442b3f03652d751ae087dae5 | 4,162 | py | Python | third_party/maya/lib/usdMaya/testenv/testUsdExportSkeleton.py | navefx/YuksUSD | 56c2e1def36ee07121f4ecb349c1626472b3c338 | [
"AML"
] | 6 | 2018-08-26T13:27:22.000Z | 2021-08-14T23:57:38.000Z | third_party/maya/lib/usdMaya/testenv/testUsdExportSkeleton.py | navefx/YuksUSD | 56c2e1def36ee07121f4ecb349c1626472b3c338 | [
"AML"
] | 1 | 2021-08-14T23:57:51.000Z | 2021-08-14T23:57:51.000Z | third_party/maya/lib/usdMaya/testenv/testUsdExportSkeleton.py | navefx/YuksUSD | 56c2e1def36ee07121f4ecb349c1626472b3c338 | [
"AML"
] | 4 | 2018-06-14T18:14:59.000Z | 2021-09-13T22:20:50.000Z | #!/pxrpythonsubst
#
# Copyright 2018 Pixar
#
# Licensed under the Apache License, Version 2.0 (the "Apache License")
# with the following modification; you may not use this file except in
# compliance with the Apache License and the following modification to it:
# Section 6. Trademarks. is deleted and replaced with:
#
... | 34.683333 | 77 | 0.645603 | 2,870 | 0.689572 | 0 | 0 | 290 | 0.069678 | 0 | 0 | 1,778 | 0.427198 |
38fa54c4a5025900fd457356bdca81cf5e7db815 | 92 | py | Python | datamux/src/datamux/simulate_mode.py | nirdslab/streaminghub | a0d9f5f8be0ee6f090bd2b48b9f596695497c2bf | [
"MIT"
] | null | null | null | datamux/src/datamux/simulate_mode.py | nirdslab/streaminghub | a0d9f5f8be0ee6f090bd2b48b9f596695497c2bf | [
"MIT"
] | null | null | null | datamux/src/datamux/simulate_mode.py | nirdslab/streaminghub | a0d9f5f8be0ee6f090bd2b48b9f596695497c2bf | [
"MIT"
] | 1 | 2020-01-22T15:35:29.000Z | 2020-01-22T15:35:29.000Z | class SimulateMode:
@staticmethod
def start_simulation(device, guide=None):
return
| 15.333333 | 43 | 0.75 | 91 | 0.98913 | 0 | 0 | 68 | 0.73913 | 0 | 0 | 0 | 0 |
38fb3ca62ed5924a18e726aa270114cbccbf7a59 | 10,062 | py | Python | tests/integration/test_k8s.py | lslebodn/conu | dee6fd958471f77d1c0511b031ea136dfaf8a77a | [
"MIT"
] | 95 | 2018-05-19T14:35:08.000Z | 2022-01-08T23:31:40.000Z | tests/integration/test_k8s.py | lslebodn/conu | dee6fd958471f77d1c0511b031ea136dfaf8a77a | [
"MIT"
] | 179 | 2017-09-12T11:14:30.000Z | 2018-04-26T05:36:13.000Z | tests/integration/test_k8s.py | lslebodn/conu | dee6fd958471f77d1c0511b031ea136dfaf8a77a | [
"MIT"
] | 16 | 2018-05-09T14:15:32.000Z | 2021-08-02T21:11:33.000Z | # -*- coding: utf-8 -*-
#
# Copyright Contributors to the Conu project.
# SPDX-License-Identifier: MIT
#
"""
Tests for Kubernetes backend
"""
import urllib3
import pytest
from conu import DockerBackend, \
K8sBackend, K8sCleanupPolicy
from conu.backend.k8s.pod import Pod, PodPhase
from conu.backend.k... | 35.305263 | 100 | 0.550487 | 9,286 | 0.922878 | 0 | 0 | 9,462 | 0.94037 | 0 | 0 | 1,680 | 0.166965 |
38fbd974e03682bea68c5248fd58ad877e5fa2e2 | 747 | py | Python | fanyi.py | smithgoo/python3Learn | d0c066c10887db3942ca285b86ce464463998aad | [
"MIT"
] | 1 | 2019-05-30T08:08:34.000Z | 2019-05-30T08:08:34.000Z | fanyi.py | smithgoo/python3Learn | d0c066c10887db3942ca285b86ce464463998aad | [
"MIT"
] | null | null | null | fanyi.py | smithgoo/python3Learn | d0c066c10887db3942ca285b86ce464463998aad | [
"MIT"
] | null | null | null | #!/usr/bin/python
#coding:utf-8
import requests
import json
headers ={"User-Agent": "Mozilla/5.0 (iPhone; CPU iPhone OS 11_0 like Mac OS X) AppleWebKit/604.1.38 (KHTML, like Gecko) Version/11.0 Mobile/15A372 Safari/604.1","Referer": "http://fanyi.baidu.com/translate?aldtype=16047&query=&keyfrom=baidu&smartresult=dic... | 20.75 | 273 | 0.716198 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 399 | 0.52988 |
38fbddf88e24f691af151a049dc107ebe16a7e13 | 13,228 | py | Python | frads/radmtx.py | LBNL-ETA/frads | dbd9980c7cfebd363089180d8fb1b7107e73ec92 | [
"BSD-3-Clause-LBNL"
] | 8 | 2019-11-13T22:26:45.000Z | 2022-03-23T15:30:37.000Z | frads/radmtx.py | LBNL-ETA/frads | dbd9980c7cfebd363089180d8fb1b7107e73ec92 | [
"BSD-3-Clause-LBNL"
] | null | null | null | frads/radmtx.py | LBNL-ETA/frads | dbd9980c7cfebd363089180d8fb1b7107e73ec92 | [
"BSD-3-Clause-LBNL"
] | 2 | 2021-08-10T18:22:04.000Z | 2021-08-30T23:16:27.000Z | """ Support matrices generation.
radmtx module contains two class objects: sender and receiver, representing
the ray sender and receiver in the rfluxmtx operation. sender object is can
be instantiated as a surface, a list of points, or a view, and these are
typical forms of a sender. Similarly, a receiver object can b... | 36.043597 | 93 | 0.584971 | 7,237 | 0.547097 | 0 | 0 | 5,618 | 0.424705 | 0 | 0 | 5,663 | 0.428107 |
38ffdd9e33324c5571bb8c9331725ff628bfcf97 | 7,354 | py | Python | QGrain/ui/NNResolverSettingWidget.py | yuriok/QGrain | 39a136d4e89716a26a88d68ffa00d36ef6036279 | [
"MIT"
] | 4 | 2021-09-04T11:00:07.000Z | 2022-01-06T12:50:09.000Z | QGrain/ui/NNResolverSettingWidget.py | yuriok/QGrain | 39a136d4e89716a26a88d68ffa00d36ef6036279 | [
"MIT"
] | null | null | null | QGrain/ui/NNResolverSettingWidget.py | yuriok/QGrain | 39a136d4e89716a26a88d68ffa00d36ef6036279 | [
"MIT"
] | 2 | 2021-08-23T02:39:07.000Z | 2021-12-30T03:04:07.000Z |
__all__ = ["NNResolverSettingWidget"]
import pickle
import numpy as np
import torch
from PySide2.QtCore import QSettings, Qt
from PySide2.QtWidgets import (QCheckBox, QComboBox, QDialog, QDoubleSpinBox,
QGridLayout, QLabel, QSpinBox)
from QGrain.models.NNResolverSetting import (NNResol... | 43.77381 | 147 | 0.663992 | 6,562 | 0.892061 | 0 | 0 | 1,436 | 0.195215 | 0 | 0 | 1,073 | 0.145867 |
ac012aecb07834c5fb29cd6c1e9f0c6f5ac9d379 | 284 | py | Python | week3_greedy_algorithms/6_maximum_number_of_prizes/different_summands.py | thegautamkumarjaiswal/Algorithm-s_ToolBox_Solutions | bb265647ed183f44e0d56f14a4b8b966af73dfd2 | [
"Apache-2.0"
] | null | null | null | week3_greedy_algorithms/6_maximum_number_of_prizes/different_summands.py | thegautamkumarjaiswal/Algorithm-s_ToolBox_Solutions | bb265647ed183f44e0d56f14a4b8b966af73dfd2 | [
"Apache-2.0"
] | null | null | null | week3_greedy_algorithms/6_maximum_number_of_prizes/different_summands.py | thegautamkumarjaiswal/Algorithm-s_ToolBox_Solutions | bb265647ed183f44e0d56f14a4b8b966af73dfd2 | [
"Apache-2.0"
] | null | null | null | # Uses python3
n = int(input())
if n == 1:
print(1)
print(1)
quit()
W = n
prizes = []
for i in range(1, n):
if W>2*i:
prizes.append(i)
W -= i
else:
prizes.append(W)
break
print(len(prizes))
print(' '.join([str(i) for i in prizes])) | 15.777778 | 41 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0.059859 |
ac015c8aae392f0c5e8f71cda13e428662656402 | 1,158 | py | Python | town/migrations/0002_shop.py | Snowman88/DODOTOWN | a817d645b3002d75a25dc543e8f253648f007ca7 | [
"Apache-2.0"
] | 1 | 2015-01-07T14:54:19.000Z | 2015-01-07T14:54:19.000Z | town/migrations/0002_shop.py | Snowman88/DODOTOWN | a817d645b3002d75a25dc543e8f253648f007ca7 | [
"Apache-2.0"
] | 2 | 2015-01-12T13:48:52.000Z | 2015-01-12T13:49:45.000Z | town/migrations/0002_shop.py | Snowman88/DODOTOWN | a817d645b3002d75a25dc543e8f253648f007ca7 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import django.utils.timezone
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('town', '0001... | 35.090909 | 114 | 0.603627 | 997 | 0.853596 | 0 | 0 | 0 | 0 | 0 | 0 | 129 | 0.110445 |
ac01a8777ade5c22566c19425f199dbb6101a624 | 8,700 | py | Python | testing/scipy_distutils-0.3.3_34.586/command/build_clib.py | fireballpoint1/fortranTOpy | 55843a62c6f0a2f8e2a777ef70193940d3d2d141 | [
"Apache-2.0"
] | 1 | 2018-08-26T05:10:56.000Z | 2018-08-26T05:10:56.000Z | testing/scipy_distutils-0.3.3_34.586/command/build_clib.py | fireballpoint1/fortranTOpy | 55843a62c6f0a2f8e2a777ef70193940d3d2d141 | [
"Apache-2.0"
] | null | null | null | testing/scipy_distutils-0.3.3_34.586/command/build_clib.py | fireballpoint1/fortranTOpy | 55843a62c6f0a2f8e2a777ef70193940d3d2d141 | [
"Apache-2.0"
] | 1 | 2018-06-26T18:06:44.000Z | 2018-06-26T18:06:44.000Z | """ Modified version of build_clib that handles fortran source files.
"""
import os
import string
import sys
import re
from glob import glob
from types import *
from distutils.command.build_clib import build_clib as old_build_clib
from distutils.command.build_clib import show_compilers
from scipy_distutils import log... | 38.666667 | 83 | 0.545057 | 7,715 | 0.886782 | 0 | 0 | 0 | 0 | 0 | 0 | 1,113 | 0.127931 |
ac024dc71c56bdd789c2d35559cf132d917d749c | 1,405 | py | Python | mayan/apps/web_links/migrations/0004_make_labes_unique.py | nattangwiwat/Mayan-EDMS-recitation | fcf16afb56eae812fb99144d65ae1ae6749de0b7 | [
"Apache-2.0"
] | 343 | 2015-01-05T14:19:35.000Z | 2018-12-10T19:07:48.000Z | mayan/apps/web_links/migrations/0004_make_labes_unique.py | nattangwiwat/Mayan-EDMS-recitation | fcf16afb56eae812fb99144d65ae1ae6749de0b7 | [
"Apache-2.0"
] | 191 | 2015-01-03T00:48:19.000Z | 2018-11-30T09:10:25.000Z | mayan/apps/web_links/migrations/0004_make_labes_unique.py | nattangwiwat/Mayan-EDMS-recitation | fcf16afb56eae812fb99144d65ae1ae6749de0b7 | [
"Apache-2.0"
] | 257 | 2019-05-14T10:26:37.000Z | 2022-03-30T03:37:36.000Z | from django.db import migrations
def operation_make_labels_unique(apps, schema_editor):
WebLink = apps.get_model(app_label='web_links', model_name='WebLink')
for web_link in WebLink.objects.using(schema_editor.connection.alias).all():
# Look for instances with the same label
duplicate_queryse... | 34.268293 | 80 | 0.661922 | 291 | 0.207117 | 0 | 0 | 0 | 0 | 0 | 0 | 210 | 0.149466 |
ac0252914b7769682c26f81c801eeba081b42d28 | 6,251 | py | Python | ansible-devel/test/lib/ansible_test/_data/sanity/validate-modules/validate_modules/module_args.py | satishcarya/ansible | ed091e174c26316f621ac16344a95c99f56bdc43 | [
"MIT"
] | null | null | null | ansible-devel/test/lib/ansible_test/_data/sanity/validate-modules/validate_modules/module_args.py | satishcarya/ansible | ed091e174c26316f621ac16344a95c99f56bdc43 | [
"MIT"
] | null | null | null | ansible-devel/test/lib/ansible_test/_data/sanity/validate-modules/validate_modules/module_args.py | satishcarya/ansible | ed091e174c26316f621ac16344a95c99f56bdc43 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright (C) 2016 Matt Martz <[email protected]>
# Copyright (C) 2016 Rackspace US, Inc.
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of ... | 36.555556 | 117 | 0.699408 | 479 | 0.076628 | 982 | 0.157095 | 998 | 0.159654 | 0 | 0 | 2,098 | 0.335626 |
ac0406d097b2c425817270a16cec9aaa0dab57d1 | 425 | py | Python | events/migrations/0003_invitation_detail.py | ebar0n/mishteh | dd025add9b80dff2253c1ee976fc656dff3abc03 | [
"MIT"
] | null | null | null | events/migrations/0003_invitation_detail.py | ebar0n/mishteh | dd025add9b80dff2253c1ee976fc656dff3abc03 | [
"MIT"
] | null | null | null | events/migrations/0003_invitation_detail.py | ebar0n/mishteh | dd025add9b80dff2253c1ee976fc656dff3abc03 | [
"MIT"
] | null | null | null | # Generated by Django 2.2 on 2019-10-13 19:09
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [("events", "0002_auto_20191013_1712")]
operations = [
migrations.AddField(
model_name="invitation",
name="detail",
field=... | 23.611111 | 70 | 0.623529 | 334 | 0.785882 | 0 | 0 | 0 | 0 | 0 | 0 | 108 | 0.254118 |
ac045942a364b8e9223f019c563338e05ffde92d | 1,954 | py | Python | pygitscrum/print.py | thib1984/pygitscrum | 4f5f726e5b3c95f93da33c21da51953657bd0349 | [
"MIT"
] | 2 | 2021-04-23T11:10:32.000Z | 2021-04-23T11:10:41.000Z | pygitscrum/print.py | thib1984/pygitscrum | 4f5f726e5b3c95f93da33c21da51953657bd0349 | [
"MIT"
] | 2 | 2021-11-23T09:26:50.000Z | 2021-11-23T09:27:02.000Z | pygitscrum/print.py | thib1984/pygitscrum | 4f5f726e5b3c95f93da33c21da51953657bd0349 | [
"MIT"
] | null | null | null | """
print scripts
"""
from termcolor import colored
from pygitscrum.args import compute_args
import colorama
def print_resume_list(list_to_print, message):
"""
print list summary
"""
if len(list_to_print) > 0:
print("")
print(
my_colored(
message + " : ",
... | 20.14433 | 53 | 0.449335 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 377 | 0.192938 |
ac062225c63cd5c3323bbc8f4dcab95e8e43641a | 261 | py | Python | test/_test_compute_m.py | yiruiliu110/eegnn | 253773c301681bb00b4789c34f48c82468ad16da | [
"MIT"
] | null | null | null | test/_test_compute_m.py | yiruiliu110/eegnn | 253773c301681bb00b4789c34f48c82468ad16da | [
"MIT"
] | null | null | null | test/_test_compute_m.py | yiruiliu110/eegnn | 253773c301681bb00b4789c34f48c82468ad16da | [
"MIT"
] | null | null | null | import torch
from estimation import compute_m
i = [[0, 1, 1, 2],
[2, 0, 2, 1]]
v_z = [3, 4, 5, 2]
v_c = [0, 1, 1, 0]
z = torch.sparse_coo_tensor(i, v_z, (3, 3))
c = torch.sparse_coo_tensor(i, v_c, (3, 3))
max_K = 10
m = compute_m(z, c, max_K)
print(m) | 15.352941 | 43 | 0.578544 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ac07185d13ca3e632e2ca4e17fcc91869d099238 | 3,677 | py | Python | test/SMSGateway_test.py | S2Innovation/ds-s2i-smsgateway | eed5ce3d630c26b0fd73117d79c84606a12bc783 | [
"MIT"
] | null | null | null | test/SMSGateway_test.py | S2Innovation/ds-s2i-smsgateway | eed5ce3d630c26b0fd73117d79c84606a12bc783 | [
"MIT"
] | null | null | null | test/SMSGateway_test.py | S2Innovation/ds-s2i-smsgateway | eed5ce3d630c26b0fd73117d79c84606a12bc783 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# This file is part of the SMSGateway project
#
#
#
# Distributed under the terms of the MIT license.
# See LICENSE.txt for more info.
"""Contain the tests for the SMSGateway for PANIC."""
# Path
import sys
import os
path = os.path.join(os.path.dirname(__file__), os.pard... | 32.830357 | 77 | 0.661409 | 2,650 | 0.720696 | 0 | 0 | 292 | 0.079413 | 0 | 0 | 2,344 | 0.637476 |
ac07adb5420f61816fe1726ed429cadf16e37902 | 505 | py | Python | simfile/_private/serializable.py | garcia/simfile | 4e15660c964d8d3c0e6d1f69431138e7eb4db288 | [
"MIT"
] | 22 | 2017-04-24T05:37:13.000Z | 2022-03-08T00:41:37.000Z | simfile/_private/serializable.py | garcia/simfile | 4e15660c964d8d3c0e6d1f69431138e7eb4db288 | [
"MIT"
] | 10 | 2021-05-31T01:21:56.000Z | 2022-03-17T04:26:54.000Z | simfile/_private/serializable.py | garcia/simfile | 4e15660c964d8d3c0e6d1f69431138e7eb4db288 | [
"MIT"
] | 3 | 2019-06-05T15:23:53.000Z | 2021-09-11T02:39:36.000Z | from abc import ABCMeta, abstractmethod
from io import StringIO
from typing import TextIO
class Serializable(metaclass=ABCMeta):
@abstractmethod
def serialize(self, file: TextIO) -> None:
"""
Write the object to provided text file object as MSD.
"""
pass
def __str__(s... | 24.047619 | 61 | 0.615842 | 413 | 0.817822 | 0 | 0 | 161 | 0.318812 | 0 | 0 | 137 | 0.271287 |
ac07f9a51ba5bae2e9b9b9afd0ca35481fa33be3 | 214 | py | Python | Flask/Lezione4/webapp/project/serate/templates/serate/forms.py | nick87ds/MaterialeSerate | 51627e47ff1d3c3ecfc9ce6741c04b91b3295359 | [
"MIT"
] | 12 | 2021-12-12T22:19:52.000Z | 2022-03-18T11:45:17.000Z | Flask/Lezione4/webapp/project/serate/templates/serate/forms.py | nick87ds/MaterialeSerate | 51627e47ff1d3c3ecfc9ce6741c04b91b3295359 | [
"MIT"
] | 1 | 2022-03-23T13:58:33.000Z | 2022-03-23T14:05:08.000Z | Flask/Lezione4/webapp/project/serate/templates/serate/forms.py | nick87ds/MaterialeSerate | 51627e47ff1d3c3ecfc9ce6741c04b91b3295359 | [
"MIT"
] | 7 | 2021-02-01T22:09:14.000Z | 2021-06-22T08:30:16.000Z | from time import strftime
from flask_wtf import FlaskForm
from wtforms import (
Form,
validators,
StringField,
IntegerField,
SubmitField,
BooleanField,
SelectField,
TextAreaField,
)
| 16.461538 | 31 | 0.705607 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ac0aebc29b01daccd8a1302b366f51ee3eb40958 | 190 | py | Python | intered/bin/django-admin.py | allenallen/interedregistration | d6b93bfc33d7bb9bfbabdcdb27b685f3a6be3ea9 | [
"MIT"
] | null | null | null | intered/bin/django-admin.py | allenallen/interedregistration | d6b93bfc33d7bb9bfbabdcdb27b685f3a6be3ea9 | [
"MIT"
] | 6 | 2020-02-11T23:05:13.000Z | 2021-06-10T20:43:51.000Z | intered/bin/django-admin.py | allenallen/interedregistration | d6b93bfc33d7bb9bfbabdcdb27b685f3a6be3ea9 | [
"MIT"
] | null | null | null | #!/home/allen/Documents/TamarawTechProjects/interedregistration/intered/bin/python3
from django.core import management
if __name__ == "__main__":
management.execute_from_command_line()
| 31.666667 | 83 | 0.821053 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 93 | 0.489474 |
ac0b33a69404bee3fc2c70f72e63ffeda7d74b5d | 746 | py | Python | generate_hamming_command.py | zoeleeee/mnist_challenge | 8a98f7dde35ee1d7a1fb77e85ca931000fb71631 | [
"MIT"
] | null | null | null | generate_hamming_command.py | zoeleeee/mnist_challenge | 8a98f7dde35ee1d7a1fb77e85ca931000fb71631 | [
"MIT"
] | null | null | null | generate_hamming_command.py | zoeleeee/mnist_challenge | 8a98f7dde35ee1d7a1fb77e85ca931000fb71631 | [
"MIT"
] | null | null | null | import numpy as np
import os
path = 'preds'
files = os.listdir(path)
lst = []
for f in files:
if f.find('_0_HASH') == -1:
continue
if f.find('CW') == -1:
continue
if f.find('low')==-1 and f.find('high')==-1 and f.find('mix')==-1:
continue
if f.endswith('show.npy'):
lst.a... | 25.724138 | 82 | 0.567024 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 0.147453 |
ac0bb6d2bc717836589dada86f31d1c73d9161be | 3,416 | py | Python | benchmarks/benchmarks/reflect.py | dcortie/refnx | 037434fa0a64755f72c540d75063986bd517ab10 | [
"BSD-3-Clause"
] | 32 | 2016-04-18T15:29:59.000Z | 2022-03-27T08:35:29.000Z | benchmarks/benchmarks/reflect.py | dcortie/refnx | 037434fa0a64755f72c540d75063986bd517ab10 | [
"BSD-3-Clause"
] | 116 | 2015-10-27T04:33:09.000Z | 2022-02-22T02:02:47.000Z | benchmarks/benchmarks/reflect.py | dcortie/refnx | 037434fa0a64755f72c540d75063986bd517ab10 | [
"BSD-3-Clause"
] | 22 | 2015-09-29T23:21:15.000Z | 2022-02-27T18:12:18.000Z | import os.path
import numpy as np
import pickle
from .common import Benchmark
from refnx.analysis import CurveFitter, Objective, Parameter
import refnx.reflect
from refnx.reflect._creflect import abeles as c_abeles
from refnx.reflect._reflect import abeles
from refnx.reflect import SLD, Slab, Structure, ReflectModel,... | 30.774775 | 77 | 0.603923 | 3,029 | 0.88671 | 0 | 0 | 0 | 0 | 0 | 0 | 371 | 0.108607 |
ac0d30f40fdb142e0b5b6ff9a6caa98ff58e125e | 1,257 | py | Python | app/__init__.py | annerachael/fifth_year_project | 3843b4e6315e9a5374f80a2aabc0bcb8423fd0d9 | [
"Apache-2.0"
] | null | null | null | app/__init__.py | annerachael/fifth_year_project | 3843b4e6315e9a5374f80a2aabc0bcb8423fd0d9 | [
"Apache-2.0"
] | null | null | null | app/__init__.py | annerachael/fifth_year_project | 3843b4e6315e9a5374f80a2aabc0bcb8423fd0d9 | [
"Apache-2.0"
] | null | null | null | # app/__init__.py
from flask import Flask
from redis import Redis
from rq_scheduler import Scheduler
from flask_migrate import Migrate
from flask_login import LoginManager
from flask_bootstrap import Bootstrap
from flask_sqlalchemy import SQLAlchemy
"""
This file shall contain configurations for the web app
"""
# cr... | 25.14 | 69 | 0.731106 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 397 | 0.315831 |
ac0e680fa5ad08e1900fc7ebe2eb246aebdc7e1d | 148 | py | Python | automation/openwebsites.py | abrahammachuki/dnav3-code | d278bf4facbc0702342f9c86a3845f0fb1c247bf | [
"MIT"
] | null | null | null | automation/openwebsites.py | abrahammachuki/dnav3-code | d278bf4facbc0702342f9c86a3845f0fb1c247bf | [
"MIT"
] | null | null | null | automation/openwebsites.py | abrahammachuki/dnav3-code | d278bf4facbc0702342f9c86a3845f0fb1c247bf | [
"MIT"
] | null | null | null | import webbrowser
website = ['site1', 'site2', 'site3', 'site4']
for i in range(len(website)):
site = 'http://' + website[i]
webbrowser.open(site) | 29.6 | 46 | 0.662162 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 0.25 |
ac105d162c447186bd1f92785b821628a3aa1ff5 | 1,865 | py | Python | hedger/tournament.py | dmalison/hedger | 8db634a484769fb4f3feb945c1847ef50803fafe | [
"MIT"
] | null | null | null | hedger/tournament.py | dmalison/hedger | 8db634a484769fb4f3feb945c1847ef50803fafe | [
"MIT"
] | null | null | null | hedger/tournament.py | dmalison/hedger | 8db634a484769fb4f3feb945c1847ef50803fafe | [
"MIT"
] | null | null | null | import hedger
from hedger import Result
class Tournament:
def __init__(self, entries):
self._entries = entries
self._brackets = self._get_brackets()
self._brackets_info = self._get_brackets_info()
@property
def entries(self):
return self._entries
@property
def bra... | 27.835821 | 65 | 0.641287 | 1,822 | 0.976944 | 0 | 0 | 197 | 0.10563 | 0 | 0 | 14 | 0.007507 |
ac110f6329cbb307af9cb472a6aa5c74e249a2ef | 5,294 | py | Python | src/tentaclio/clients/sqla_client.py | datavaluepeople/tentaclio | eb6920a0e115c6c08043063a8c1013d812ec34c8 | [
"MIT"
] | 12 | 2019-04-30T16:07:42.000Z | 2021-12-08T08:02:09.000Z | src/tentaclio/clients/sqla_client.py | octoenergy/tentaclio | eb6920a0e115c6c08043063a8c1013d812ec34c8 | [
"MIT"
] | 74 | 2019-04-25T11:18:22.000Z | 2022-01-18T11:31:14.000Z | src/tentaclio/clients/sqla_client.py | datavaluepeople/tentaclio | eb6920a0e115c6c08043063a8c1013d812ec34c8 | [
"MIT"
] | 4 | 2019-05-05T13:13:21.000Z | 2022-01-14T00:33:07.000Z | """Provide sql connection using sqlalchemy.
This client is used for convinience when using different sql
providers and unifying the client creation. We do not intent to rewriter sqlalchemy.
"""
import contextlib
from typing import Container, Generator, Optional, Union
import pandas as pd
from sqlalchemy.engine import... | 29.909605 | 98 | 0.657537 | 3,903 | 0.73725 | 607 | 0.114658 | 1,517 | 0.286551 | 0 | 0 | 1,508 | 0.284851 |
ac119758f2d8245405f37028d9f047dacd5dfbff | 1,678 | py | Python | polls/views.py | agustinsuana/mysite | 03e196470520d5b93f60d6be40358332490f349e | [
"MIT"
] | null | null | null | polls/views.py | agustinsuana/mysite | 03e196470520d5b93f60d6be40358332490f349e | [
"MIT"
] | null | null | null | polls/views.py | agustinsuana/mysite | 03e196470520d5b93f60d6be40358332490f349e | [
"MIT"
] | null | null | null | from django.shortcuts import render, get_object_or_404
from django.http import HttpResponse
from django.template import loader
from .models import Question
from django.http import Http404
def index(request):
#last_questions_list = Question.objects.order_by('-pub_date')[:5]
#template = loader.get_template("poll... | 34.958333 | 73 | 0.722288 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 879 | 0.523838 |
ac12e55df64cb0e22fe581ffef24c9ea5ad38135 | 2,343 | py | Python | cctk/file.py | ekwan/cctk | 85cb8d0b714a80e8e353987dc24006695f1d0532 | [
"Apache-2.0"
] | 10 | 2020-01-16T15:26:57.000Z | 2022-01-15T23:12:00.000Z | cctk/file.py | ekwan/cctk | 85cb8d0b714a80e8e353987dc24006695f1d0532 | [
"Apache-2.0"
] | 2 | 2020-05-27T21:04:36.000Z | 2020-09-26T20:49:53.000Z | cctk/file.py | ekwan/cctk | 85cb8d0b714a80e8e353987dc24006695f1d0532 | [
"Apache-2.0"
] | 2 | 2020-09-24T18:44:18.000Z | 2021-08-05T20:35:51.000Z | import os
from abc import ABC, abstractmethod
class File(ABC):
"""
Abstract class representing text files.
"""
@abstractmethod
def __init__(self):
pass
@staticmethod
def write_file(filename, text, overwrite_existing=True):
"""
Writes output text to a file.
... | 28.573171 | 94 | 0.545881 | 2,293 | 0.97866 | 0 | 0 | 2,193 | 0.93598 | 0 | 0 | 1,078 | 0.460094 |
ac14c5baab8284824cd35d4e64729e5b1523569f | 582 | py | Python | elif_bayindir/phase_1/python_basic_1/day_4/q8.py | CodedLadiesInnovateTech/-python-challenge-solutions | 430cd3eb84a2905a286819eef384ee484d8eb9e7 | [
"MIT"
] | 6 | 2020-05-23T19:53:25.000Z | 2021-05-08T20:21:30.000Z | elif_bayindir/phase_1/python_basic_1/day_4/q8.py | CodedLadiesInnovateTech/-python-challenge-solutions | 430cd3eb84a2905a286819eef384ee484d8eb9e7 | [
"MIT"
] | 8 | 2020-05-14T18:53:12.000Z | 2020-07-03T00:06:20.000Z | elif_bayindir/phase_1/python_basic_1/day_4/q8.py | CodedLadiesInnovateTech/-python-challenge-solutions | 430cd3eb84a2905a286819eef384ee484d8eb9e7 | [
"MIT"
] | 39 | 2020-05-10T20:55:02.000Z | 2020-09-12T17:40:59.000Z | # Question 8
# Print even numbers in a list, stop printing when the number is 237
numbers = [
386, 462, 47, 418, 907, 344, 236, 375, 823, 566, 597, 978, 328, 615, 953, 345,
399, 162, 758, 219, 918, 237, 412, 566, 826, 248, 866, 950, 626, 949, 687, 217,
815, 67, 104, 58, 512, 24, 892, 894, 767, 553, 8... | 22.384615 | 85 | 0.573883 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 170 | 0.292096 |
ac1751b7ad47eb3e921543a2e5f6b1310543b55f | 1,377 | py | Python | encode_morse.py | cmanagoli/github-upload | 9759b8ee905e1fd37b169231d2150de31e143191 | [
"MIT"
] | null | null | null | encode_morse.py | cmanagoli/github-upload | 9759b8ee905e1fd37b169231d2150de31e143191 | [
"MIT"
] | 4 | 2020-10-14T21:30:35.000Z | 2020-10-14T21:43:06.000Z | encode_morse.py | cmanagoli/github-upload | 9759b8ee905e1fd37b169231d2150de31e143191 | [
"MIT"
] | null | null | null | # Author: Chinmai Managoli
import sys as sys
# Morse code dictionary
char_to_dots = {
'A': '.-', 'B': '-...', 'C': '-.-.', 'D': '-..', 'E': '.', 'F': '..-.',
'G': '--.', 'H': '....', 'I': '..', 'J': '.---', 'K': '-.-', 'L': '.-..',
'M': '--', 'N': '-.', 'O': '---', 'P': '.--.', 'Q': '--.-', 'R': '.-.',
'S': '... | 34.425 | 96 | 0.336964 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 760 | 0.551924 |
ac18c099c076caa8b9713e7d997b71df79627791 | 22,442 | py | Python | self_implement_learning_to_adapt/maml_rl.py | chi6/Model-based-meta-learning-rl | fda134dcbd87ef3e91f339ea2f836f28ec5f7784 | [
"MIT"
] | 2 | 2019-09-10T10:13:20.000Z | 2020-07-17T01:37:27.000Z | self_implement_learning_to_adapt/maml_rl.py | chi6/Model-based-meta-learning-rl | fda134dcbd87ef3e91f339ea2f836f28ec5f7784 | [
"MIT"
] | null | null | null | self_implement_learning_to_adapt/maml_rl.py | chi6/Model-based-meta-learning-rl | fda134dcbd87ef3e91f339ea2f836f28ec5f7784 | [
"MIT"
] | null | null | null | import tensorflow as tf
import numpy as np
from self_implement_learning_to_adapt.model import construct_fc_weights,construct_inputs,construct_loss,forward_fc
from self_implement_learning_to_adapt.batch_sampler import ParrallelSampler
from self_implement_learning_to_adapt.vectorized_sampler import VectorizedSampler
from... | 43.832031 | 142 | 0.549238 | 21,975 | 0.979191 | 0 | 0 | 0 | 0 | 0 | 0 | 3,097 | 0.138 |
ac1910c0faa98f5af77a97256be74c749f17725a | 279 | py | Python | DeepRTS/__init__.py | cair/deep-rts | 7aa5dde0c5df10ae3a3d057e7b89641aec58e115 | [
"MIT"
] | 144 | 2018-07-13T07:47:50.000Z | 2022-03-31T06:29:50.000Z | DeepRTS/__init__.py | cair/DeepRTS | 2ea4de0993ea0ca2677fdb36a172779db4ce7868 | [
"MIT"
] | 18 | 2019-03-29T10:37:01.000Z | 2022-03-02T12:47:34.000Z | DeepRTS/__init__.py | cair/DeepRTS | 2ea4de0993ea0ca2677fdb36a172779db4ce7868 | [
"MIT"
] | 23 | 2018-11-02T18:12:51.000Z | 2022-02-15T20:32:18.000Z | try:
from DeepRTS import Engine
except ImportError:
import Engine
try:
from DeepRTS.Engine import Map, UnitManager, Constants, Player
from DeepRTS.Engine import Constants
except ImportError:
from Engine import Map, UnitManager, Constants, Player, Constants
| 23.25 | 69 | 0.763441 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ac19348529e2bf02c00c7ac8ed17b55456b351e7 | 4,196 | py | Python | openprocurement/auctions/swiftsure/utils.py | bdmbdsm/openprocurement.auctions.swiftsure | f5b93555eb12212c69c8168f861376eae85f4648 | [
"Apache-2.0"
] | null | null | null | openprocurement/auctions/swiftsure/utils.py | bdmbdsm/openprocurement.auctions.swiftsure | f5b93555eb12212c69c8168f861376eae85f4648 | [
"Apache-2.0"
] | null | null | null | openprocurement/auctions/swiftsure/utils.py | bdmbdsm/openprocurement.auctions.swiftsure | f5b93555eb12212c69c8168f861376eae85f4648 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from logging import getLogger
from pkg_resources import get_distribution
from openprocurement.auctions.core.plugins.contracting.base.utils import (
check_auction_status
)
from openprocurement.auctions.core.utils import (
cleanup_bids_for_cancelled_lots, check_complaint_status,
remov... | 42.383838 | 147 | 0.651335 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 550 | 0.131077 |
ac1a66d846bb2dcb096e3c89c166dcb12db849c3 | 12,989 | py | Python | src/plugins/bilibili/__init__.py | shinnenijou/JiBot | c468a67e301597ca702170aded96c5145d864115 | [
"MIT"
] | null | null | null | src/plugins/bilibili/__init__.py | shinnenijou/JiBot | c468a67e301597ca702170aded96c5145d864115 | [
"MIT"
] | null | null | null | src/plugins/bilibili/__init__.py | shinnenijou/JiBot | c468a67e301597ca702170aded96c5145d864115 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Python STL
from time import time, sleep
import asyncio
from collections import deque
# Third-party
from bilibili_api import Credential, comment
import nonebot
from nonebot.log import logger
from nonebot import on_command, require
from nonebot.permission import SUPERUSER, USER
from nonebot.adap... | 37.111429 | 96 | 0.614212 | 0 | 0 | 0 | 0 | 10,919 | 0.755379 | 10,465 | 0.723971 | 3,892 | 0.269249 |
ac1aafb69f1a23988f2e6e269f2b272b5e40a652 | 6,593 | py | Python | rlzoo/common/build_rlbench_env.py | tensorlayer/RLzoo | 9a587b97f706b2a59ac98555945822bf3987b1d1 | [
"Apache-2.0"
] | 750 | 2019-07-26T10:56:28.000Z | 2022-03-25T08:36:38.000Z | rlzoo/common/build_rlbench_env.py | tensorlayer/RLzoo | 9a587b97f706b2a59ac98555945822bf3987b1d1 | [
"Apache-2.0"
] | 29 | 2019-10-25T02:46:19.000Z | 2022-02-09T23:41:24.000Z | rlzoo/common/build_rlbench_env.py | tensorlayer/RLzoo | 9a587b97f706b2a59ac98555945822bf3987b1d1 | [
"Apache-2.0"
] | 101 | 2019-08-04T12:21:25.000Z | 2022-03-18T18:06:50.000Z | import sys
from collections import OrderedDict
import numpy as np
from gym import spaces
from pyrep.const import RenderMode
from pyrep.objects.dummy import Dummy
from pyrep.objects.vision_sensor import VisionSensor
from rlbench.environment import Environment
from rlbench.action_modes import ArmActionMode, A... | 40.447853 | 108 | 0.574245 | 5,405 | 0.819809 | 0 | 0 | 0 | 0 | 0 | 0 | 1,786 | 0.270893 |
ac1ab705364244ba4229d2c3d2d14676f947e30d | 4,117 | py | Python | scripts/generate/xgboost_.py | thomas-young-2013/automl_space | f6267dac27ae6b17123ec17c4a6c843a40e4e963 | [
"MIT"
] | 2 | 2021-04-23T10:31:47.000Z | 2021-11-25T07:59:05.000Z | scripts/generate/xgboost_.py | thomas-young-2013/automl_space | f6267dac27ae6b17123ec17c4a6c843a40e4e963 | [
"MIT"
] | null | null | null | scripts/generate/xgboost_.py | thomas-young-2013/automl_space | f6267dac27ae6b17123ec17c4a6c843a40e4e963 | [
"MIT"
] | 1 | 2021-08-11T15:03:13.000Z | 2021-08-11T15:03:13.000Z | import numpy as np
from ConfigSpace import ConfigurationSpace
from ConfigSpace.hyperparameters import UniformFloatHyperparameter, \
UniformIntegerHyperparameter, UnParametrizedHyperparameter
import argparse
import pickle as pkl
import os
import sys
sys.path.insert(0, '.')
from scripts.utils import check_none, chec... | 37.770642 | 107 | 0.683022 | 2,911 | 0.707068 | 0 | 0 | 1,333 | 0.323779 | 0 | 0 | 467 | 0.113432 |
ac1adabe581fd30a1766857374cb20cf0b69b1b2 | 2,362 | py | Python | OnStage/player_chair.py | IanDCarroll/xox | 38feac84e81e8c00a397f7f976efee15756cd3ac | [
"MIT"
] | null | null | null | OnStage/player_chair.py | IanDCarroll/xox | 38feac84e81e8c00a397f7f976efee15756cd3ac | [
"MIT"
] | 30 | 2016-11-25T05:34:34.000Z | 2017-02-11T00:10:17.000Z | OnStage/player_chair.py | IanDCarroll/tik-tak-toe | 38feac84e81e8c00a397f7f976efee15756cd3ac | [
"MIT"
] | 1 | 2016-11-26T01:41:37.000Z | 2016-11-26T01:41:37.000Z | import sys
from Training.observer_abilities import *
from Training.cortex_3x3_caddy import *
class Player(Observer):
def __init__(self, marker_code):
self.ui = None
self.marker_code = marker_code
def get_enemy_code(self):
if self.marker_code == 10:
return 1
return ... | 27.149425 | 58 | 0.595682 | 2,263 | 0.958086 | 0 | 0 | 0 | 0 | 0 | 0 | 68 | 0.028789 |
ac1b3ebd8ffb64179ceb128585149b4d27bf039c | 575 | py | Python | content_f_conditions/ex45_multiple_conditions.py | Alyssonmach/learning-python-with-codes | e5ef70f3b56712e98449b3053eb34416b8025cb1 | [
"MIT"
] | 3 | 2020-11-28T08:26:54.000Z | 2020-12-23T18:37:37.000Z | content_f_conditions/ex45_multiple_conditions.py | Alyssonmach/learning-python-with-codes | e5ef70f3b56712e98449b3053eb34416b8025cb1 | [
"MIT"
] | 1 | 2021-02-12T12:17:49.000Z | 2021-02-12T12:17:49.000Z | content_f_conditions/ex45_multiple_conditions.py | Alyssonmach/learning-python-with-codes | e5ef70f3b56712e98449b3053eb34416b8025cb1 | [
"MIT"
] | null | null | null | requested_toppings = ['mushrooms', 'extra cheese']
if 'mushrooms' in requested_toppings:
print("Adding mushrooms.")
if 'pepperoni' in requested_toppings:
print("Adding pepperoni.")
if 'extra cheese' in requested_toppings:
print("Adding extra cheese.")
print("\nFinished making your first pizza!")
if 'mush... | 30.263158 | 50 | 0.73913 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 292 | 0.507826 |
ac1cc4d7aa81ff92764789ce626b2f4acf382ec9 | 4,000 | py | Python | blog/models.py | njuaplusplus/j0shua | d14c657c72df157aaf2e471010b06bd85f415296 | [
"Apache-2.0"
] | null | null | null | blog/models.py | njuaplusplus/j0shua | d14c657c72df157aaf2e471010b06bd85f415296 | [
"Apache-2.0"
] | null | null | null | blog/models.py | njuaplusplus/j0shua | d14c657c72df157aaf2e471010b06bd85f415296 | [
"Apache-2.0"
] | null | null | null | #!/usr/local/bin/python
# coding=utf-8
from django.db import models
from django.utils.translation import ugettext as _
from markdown import markdown
from django.contrib.auth.models import User
from uuslug import uuslug
from django import forms
from pagedown.widgets import PagedownWidget
# from bootstrap3_datetime.widg... | 31.007752 | 131 | 0.58325 | 3,687 | 0.901467 | 0 | 0 | 0 | 0 | 0 | 0 | 873 | 0.213447 |
ac1cf53bf0793269cb8c9b3fe1ee4967ef2b9385 | 4,788 | py | Python | sw_edit.py | nellore/deidentify | e82befbf9d45e70df739ab2aaafaa1a5513e4aeb | [
"MIT"
] | null | null | null | sw_edit.py | nellore/deidentify | e82befbf9d45e70df739ab2aaafaa1a5513e4aeb | [
"MIT"
] | null | null | null | sw_edit.py | nellore/deidentify | e82befbf9d45e70df739ab2aaafaa1a5513e4aeb | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""
sw_edit.py
Deidentifies SW_SUMMARY.csv and SW_MINUTE.csv in LABS 2 data; these files
cannot be deidentified properly by date_eliminator.py. This script replaces
dates with days since first day.
This software is licensed under the MIT License.
Copyright (c) 2016 Abhinav Nellore
Permission... | 41.634783 | 78 | 0.581662 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,962 | 0.409774 |
ac1d0576b9d96127b532e1ac5e9548932d7f9611 | 39 | py | Python | pwas/__init__.py | cgreencode/pwas | e65901e115491ad9661832c7b622b01b1e81c934 | [
"MIT"
] | 19 | 2020-06-22T02:39:25.000Z | 2022-02-21T14:37:33.000Z | pwas/__init__.py | cgreencode/pwas | e65901e115491ad9661832c7b622b01b1e81c934 | [
"MIT"
] | 5 | 2020-09-28T11:26:01.000Z | 2021-05-06T15:34:16.000Z | pwas/__init__.py | cgreencode/pwas | e65901e115491ad9661832c7b622b01b1e81c934 | [
"MIT"
] | 4 | 2020-06-25T18:19:58.000Z | 2022-01-29T04:02:20.000Z | from .genotype import GenotypingManager | 39 | 39 | 0.897436 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ac1ea04b12bfdc49c4c9cf7624e0e9869351d1bb | 6,191 | py | Python | CNN_freq.py | vishnubk/ml_tutorial_pulsars | 1a1b1eabbce43c39222b32974e29dfff5a722601 | [
"MIT"
] | null | null | null | CNN_freq.py | vishnubk/ml_tutorial_pulsars | 1a1b1eabbce43c39222b32974e29dfff5a722601 | [
"MIT"
] | null | null | null | CNN_freq.py | vishnubk/ml_tutorial_pulsars | 1a1b1eabbce43c39222b32974e29dfff5a722601 | [
"MIT"
] | null | null | null | from keras.preprocessing.image import ImageDataGenerator
from keras.models import Sequential
from keras.layers import Conv2D, MaxPooling2D
from keras.layers import Activation, Dropout, Flatten, Dense
from sklearn.metrics import confusion_matrix, f1_score, precision_score, recall_score
from keras import backend as K
fro... | 43.598592 | 186 | 0.800517 | 0 | 0 | 296 | 0.047811 | 0 | 0 | 0 | 0 | 1,379 | 0.222743 |
ac1eac77532b97e37684d7282cd7c2a9da13f188 | 1,332 | py | Python | src/config/contents.py | miloszowi/everyone-mention-telegram-bot | a6b441b197b743f57e089dbe32d262b87a155140 | [
"MIT"
] | 13 | 2021-09-20T17:04:28.000Z | 2022-03-15T09:27:25.000Z | src/config/contents.py | miloszowi/everyone-mention-telegram-bot | a6b441b197b743f57e089dbe32d262b87a155140 | [
"MIT"
] | null | null | null | src/config/contents.py | miloszowi/everyone-mention-telegram-bot | a6b441b197b743f57e089dbe32d262b87a155140 | [
"MIT"
] | null | null | null | # markdownv2 python-telegram-bot specific
joined = '{} joined group `{}`'
not_joined = '{} is already in group `{}`'
left = '{} left group `{}`'
not_left = '{} did not join group `{}` before'
mention_failed = 'There are no users to mention'
no_groups = 'There are no groups for this chat'
# html python-telegram-bot spe... | 30.976744 | 128 | 0.701201 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,240 | 0.930931 |
ac202e2b18e2572dfa3962aaeb16577bcf9a3ce4 | 3,298 | py | Python | portal/libs/utils.py | Artis-Physis/utopia-cms | 5cb8d941d0b2df53fddc566a52e9d3baee4a007e | [
"BSD-3-Clause"
] | 8 | 2020-12-15T17:11:08.000Z | 2021-12-13T22:08:33.000Z | portal/libs/utils.py | Artis-Physis/utopia-cms | 5cb8d941d0b2df53fddc566a52e9d3baee4a007e | [
"BSD-3-Clause"
] | 28 | 2020-12-15T17:34:03.000Z | 2022-02-01T04:09:10.000Z | portal/libs/utils.py | Artis-Physis/utopia-cms | 5cb8d941d0b2df53fddc566a52e9d3baee4a007e | [
"BSD-3-Clause"
] | 7 | 2020-12-15T19:59:17.000Z | 2021-11-24T16:47:06.000Z | # -*- coding: utf-8 -*-
from hashlib import md5
import re
import smtplib
from django.conf import settings
from django.http import HttpResponseBadRequest
def remove_spaces(s):
inline_tags = 'a|b|i|u|em|span|strong|sup|sub|tt|font|small|big'
inlines_with_spaces = r'</(%s)>[\s\n\t]+<(%s)\b' % (
inline_t... | 28.678261 | 119 | 0.632201 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 978 | 0.296543 |
ac20aa316bc8bb6155930c3ea46cc8a431427a33 | 382 | py | Python | Python_OO/DelegarAcessoAtributos.py | Madara701/Python_OO | 8d67569a8c4771dd82f5259c2ed5e782cd4e4036 | [
"Apache-2.0"
] | null | null | null | Python_OO/DelegarAcessoAtributos.py | Madara701/Python_OO | 8d67569a8c4771dd82f5259c2ed5e782cd4e4036 | [
"Apache-2.0"
] | null | null | null | Python_OO/DelegarAcessoAtributos.py | Madara701/Python_OO | 8d67569a8c4771dd82f5259c2ed5e782cd4e4036 | [
"Apache-2.0"
] | null | null | null | class A:
def fazer_algo(self):
print("Palmeiras")
def outro(self):
print("campeão")
class B:
def __init__(self):
self.a = A()
def fazer_algo(self):
#delega para self.a
return self.a.fazer_algo()
def outro(self):
#delegando novamente
return sel... | 17.363636 | 34 | 0.565445 | 330 | 0.861619 | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 0.156658 |
ac20ce5e35b873341e2f84f5642a7ee91537325e | 777 | py | Python | app/main.py | sebastian-hatala-leanix/chain-reaction-event | 15e34ce450b2c267eb9dd2ec5981fbfc51caac23 | [
"Apache-2.0"
] | null | null | null | app/main.py | sebastian-hatala-leanix/chain-reaction-event | 15e34ce450b2c267eb9dd2ec5981fbfc51caac23 | [
"Apache-2.0"
] | null | null | null | app/main.py | sebastian-hatala-leanix/chain-reaction-event | 15e34ce450b2c267eb9dd2ec5981fbfc51caac23 | [
"Apache-2.0"
] | null | null | null | import cv2
import numpy as np
from numpy.linalg import norm
import requests
def _get_image_frame(camera) -> np.ndarray:
_, frame = camera.read()
return frame
def _convert_frame_to_hsv(frame: np.ndarray) -> np.ndarray:
return cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
def _post_to_michi() -> None:
try:
... | 22.852941 | 77 | 0.655084 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 74 | 0.095238 |
ac2256d9966602bb7091a7d1aec1644daf7e0196 | 8,134 | py | Python | habitat_baselines/utils/gym_adapter.py | srama2512/habitat-api | bc85d0961cef3b4a08bc9263869606109fb6ff0a | [
"MIT"
] | 355 | 2020-08-18T03:48:26.000Z | 2022-03-30T00:22:50.000Z | habitat_baselines/utils/gym_adapter.py | srama2512/habitat-api | bc85d0961cef3b4a08bc9263869606109fb6ff0a | [
"MIT"
] | 328 | 2020-08-12T21:25:09.000Z | 2022-03-31T10:39:21.000Z | habitat_baselines/utils/gym_adapter.py | srama2512/habitat-api | bc85d0961cef3b4a08bc9263869606109fb6ff0a | [
"MIT"
] | 159 | 2020-08-12T22:23:36.000Z | 2022-03-30T22:56:52.000Z | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import Any, Dict, Optional, Union
import gym
import numpy as np
from gym import spaces
from habitat.core.s... | 36.475336 | 99 | 0.630194 | 6,679 | 0.821121 | 0 | 0 | 0 | 0 | 0 | 0 | 2,532 | 0.311286 |
ac25119082b547f7c1b12e27563aa843d253ac6b | 1,279 | py | Python | TopicExtractor/src/SampleFlaskApp/app.py | npnkbabu/mymlproject | 9b9aaeef4a5dac2d967262166ca8cdf4fa09cd5d | [
"Apache-2.0"
] | null | null | null | TopicExtractor/src/SampleFlaskApp/app.py | npnkbabu/mymlproject | 9b9aaeef4a5dac2d967262166ca8cdf4fa09cd5d | [
"Apache-2.0"
] | null | null | null | TopicExtractor/src/SampleFlaskApp/app.py | npnkbabu/mymlproject | 9b9aaeef4a5dac2d967262166ca8cdf4fa09cd5d | [
"Apache-2.0"
] | null | null | null | from flask import Flask, render_template, Response
from topicsconsumer import TopicsConsumer
import math
import time
import queue
import threading
import json
app = Flask(__name__)
@app.route('/', methods=['GET', 'POST'])
def searchTopic():
return render_template('base.html')
@app.route('/topics', methods=['GET'... | 31.975 | 249 | 0.532447 | 0 | 0 | 771 | 0.602815 | 1,029 | 0.804535 | 0 | 0 | 313 | 0.244722 |