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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
40b2c91082ea21890c36b449104ec87a0b8d9b4b | 266 | py | Python | tests/test_app/rest_app/rest_app/controllers/config_controller.py | jadbin/guniflask | 36253a962c056abf34884263c6919b02b921ad9c | [
"MIT"
] | 12 | 2018-09-06T06:14:59.000Z | 2021-04-18T06:30:44.000Z | tests/test_app/rest_app/rest_app/controllers/config_controller.py | jadbin/guniflask | 36253a962c056abf34884263c6919b02b921ad9c | [
"MIT"
] | null | null | null | tests/test_app/rest_app/rest_app/controllers/config_controller.py | jadbin/guniflask | 36253a962c056abf34884263c6919b02b921ad9c | [
"MIT"
] | 2 | 2019-09-08T22:01:26.000Z | 2020-08-03T07:23:29.000Z | from guniflask.config import settings
from guniflask.web import blueprint, get_route
@blueprint
class ConfigController:
def __init__(self):
pass
@get_route('/settings/<name>')
def get_setting(self, name):
return {name: settings[name]}
| 20.461538 | 46 | 0.703008 | 167 | 0.62782 | 0 | 0 | 178 | 0.669173 | 0 | 0 | 18 | 0.067669 |
40b4eef32d47c4960807376665ec44995d7e4116 | 14,062 | py | Python | model/_UNet_trainer.py | yasahi-hpc/AMRNet | 5858d464bdfe409a5ab50889104768dda3c70508 | [
"MIT"
] | null | null | null | model/_UNet_trainer.py | yasahi-hpc/AMRNet | 5858d464bdfe409a5ab50889104768dda3c70508 | [
"MIT"
] | null | null | null | model/_UNet_trainer.py | yasahi-hpc/AMRNet | 5858d464bdfe409a5ab50889104768dda3c70508 | [
"MIT"
] | null | null | null | from ._base_trainer import _BaseTrainer, MeasureMemory
import pathlib
import torch.multiprocessing as mp
import torch
from torch import nn
import horovod.torch as hvd
import numpy as np
import xarray as xr
import itertools
from .flow_dataset import FlowDataset
from .unet import UNet
import sys
from .visualization impor... | 39.061111 | 147 | 0.595435 | 13,689 | 0.973475 | 0 | 0 | 0 | 0 | 0 | 0 | 2,514 | 0.17878 |
40b61330deb7990837ff7794fbef7bc995f41538 | 5,557 | py | Python | agents/vpg_policy_translation_with_dislocation.py | pjarosik/rlus | 5804a37ed9221362c470ad4eb0e6b03e533bf1d8 | [
"Apache-2.0"
] | 3 | 2020-09-20T20:02:43.000Z | 2022-01-14T09:37:46.000Z | agents/vpg_policy_translation_with_dislocation.py | pjarosik/rlus | 5804a37ed9221362c470ad4eb0e6b03e533bf1d8 | [
"Apache-2.0"
] | null | null | null | agents/vpg_policy_translation_with_dislocation.py | pjarosik/rlus | 5804a37ed9221362c470ad4eb0e6b03e533bf1d8 | [
"Apache-2.0"
] | 1 | 2021-06-29T07:02:19.000Z | 2021-06-29T07:02:19.000Z | from spinup import vpg
import tensorflow as tf
import numpy as np
from gym.spaces import Box, Discrete
from envs.focal_point_task_us_env import FocalPointTaskUsEnv
from envs.phantom import (
ScatterersPhantom,
Ball,
Teddy
)
from envs.imaging import ImagingSystem, Probe
from envs.generator import ConstPhanto... | 31.936782 | 81 | 0.620659 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 535 | 0.096275 |
40b7ac2bc7f8f3621a710ed64cc2cd9096f796f1 | 791 | py | Python | lib/losses/dice.py | zongdaoming/CMT | fc3773bb6c6b1ab091688addfffca3fb1e382ae4 | [
"MIT"
] | 3 | 2021-05-10T20:12:23.000Z | 2021-11-24T18:01:13.000Z | lib/losses/dice.py | zongdaoming/CMT | fc3773bb6c6b1ab091688addfffca3fb1e382ae4 | [
"MIT"
] | null | null | null | lib/losses/dice.py | zongdaoming/CMT | fc3773bb6c6b1ab091688addfffca3fb1e382ae4 | [
"MIT"
] | null | null | null | import sys,os
sys.path.append('/home/zongdaoming/cv/multi-organ/multi-organ-ijcai')
from lib.losses.BaseClass import _AbstractDiceLoss
from lib.losses.basic import *
class DiceLoss(_AbstractDiceLoss):
"""Computes Dice Loss according to https://arxiv.org/abs/1606.04797.
For multi-class segmentation `weight` pa... | 35.954545 | 102 | 0.737042 | 619 | 0.782554 | 0 | 0 | 0 | 0 | 0 | 0 | 231 | 0.292035 |
40b7ae2027514475dd06028f5df19e3941be6b6d | 1,190 | py | Python | icons.py | jasantunes/alfred-golinks | f35fa87adedf07329469c0161c8808401a6925d0 | [
"MIT"
] | 312 | 2015-01-02T12:44:03.000Z | 2020-06-21T03:53:29.000Z | icons.py | jasantunes/alfred-golinks | f35fa87adedf07329469c0161c8808401a6925d0 | [
"MIT"
] | 7 | 2015-03-22T11:57:50.000Z | 2020-02-09T08:35:05.000Z | icons.py | jasantunes/alfred-golinks | f35fa87adedf07329469c0161c8808401a6925d0 | [
"MIT"
] | 35 | 2015-09-06T09:36:32.000Z | 2020-06-21T19:17:55.000Z | # encoding: utf-8
#
# Copyright (c) 2019 Dean Jackson <deanishe@deanishe.net>
#
# MIT Licence. See http://opensource.org/licenses/MIT
#
# Created on 2019-09-06
#
"""Overlay check mark on icons."""
from __future__ import print_function, absolute_import
from Cocoa import (
NSBitmapImageRep,
NSPNGFileType,
... | 25.869565 | 70 | 0.691597 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 412 | 0.346218 |
40b9ac7b9f67d52c5c73796669c1ff5e0996665b | 2,491 | py | Python | project/python/Main/CTRL/tracker.py | warak/IOT-GrannyWarden | 54ad51b7bf7377ce7b87e72091c9dbf7f686050d | [
"MIT"
] | null | null | null | project/python/Main/CTRL/tracker.py | warak/IOT-GrannyWarden | 54ad51b7bf7377ce7b87e72091c9dbf7f686050d | [
"MIT"
] | null | null | null | project/python/Main/CTRL/tracker.py | warak/IOT-GrannyWarden | 54ad51b7bf7377ce7b87e72091c9dbf7f686050d | [
"MIT"
] | null | null | null | import datetime
from threading import Thread
from time import sleep
import DBC.dbcreate as dbc
class Tracker(Thread):
max_idle_time = 720 # minutes
default_sleep = 3600 # secs
def track(self):
dbcl = dbc.DBClient()
# print(dbcl.getlasttime())
print("Tracker activated")
... | 30.753086 | 91 | 0.470092 | 2,400 | 0.960769 | 0 | 0 | 0 | 0 | 0 | 0 | 314 | 0.125701 |
40ba1c6c5aded5c9a1f75bcde2e5830a948185e5 | 39,197 | py | Python | tests/unit/test_snapshot.py | cnnradams/python-spanner | 33055e577288cbcc848aa9abf43ccd382c9907a9 | [
"Apache-2.0"
] | null | null | null | tests/unit/test_snapshot.py | cnnradams/python-spanner | 33055e577288cbcc848aa9abf43ccd382c9907a9 | [
"Apache-2.0"
] | null | null | null | tests/unit/test_snapshot.py | cnnradams/python-spanner | 33055e577288cbcc848aa9abf43ccd382c9907a9 | [
"Apache-2.0"
] | null | null | null | # Copyright 2016 Google LLC 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 law or ag... | 37.725698 | 88 | 0.672858 | 37,973 | 0.968773 | 0 | 0 | 0 | 0 | 0 | 0 | 1,685 | 0.042988 |
40ba39e3f0879514163c0009fb4d3d4f6df2004d | 592 | py | Python | hashtable.py | quake0day/oj | c09333d1738f8735de0d5d825db6f4b707585670 | [
"MIT"
] | null | null | null | hashtable.py | quake0day/oj | c09333d1738f8735de0d5d825db6f4b707585670 | [
"MIT"
] | null | null | null | hashtable.py | quake0day/oj | c09333d1738f8735de0d5d825db6f4b707585670 | [
"MIT"
] | null | null | null | A = ['a','b']
B = ['c','b','a']
def generatehash(A):
hashA = {}
for item in A:
if item not in hashA:
hashA[item] = 1
else:
hashA[item] += 1
return hashA
def compareHash(A, B):
lenA = len(A)
lenB = len(B)
hashA = generatehash(A)
if lenB < lenA:
... | 19.733333 | 43 | 0.496622 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0.025338 |
40bab880835594679397baae0088587d6d0269a6 | 2,904 | py | Python | Manipulation of PDF Files/pandf_gui.py | clair513/DIY | 843770590a729c6aabf63367a3ab848e21ab78b9 | [
"MIT"
] | 1 | 2019-12-18T17:28:11.000Z | 2019-12-18T17:28:11.000Z | Manipulation of PDF Files/pandf_gui.py | clair513/DIY | 843770590a729c6aabf63367a3ab848e21ab78b9 | [
"MIT"
] | null | null | null | Manipulation of PDF Files/pandf_gui.py | clair513/DIY | 843770590a729c6aabf63367a3ab848e21ab78b9 | [
"MIT"
] | null | null | null | # Importing required packages:
import pandas as pd
from tkinter import *
from tkinter.ttk import *
root = Tk()
# To visualize input DataFrame:
def generate_plot(gui_root, df, x_axis, y_axis=None,
plot={'type':None, 'hue':None},
aesthetics={'style':'whitegrid', 'palette':'... | 38.72 | 107 | 0.587466 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 876 | 0.301653 |
40bac90ddb15602100d2d54bde81a9850ed02d27 | 4,737 | py | Python | utils/get_dataset.py | gautierdag/pytorch-attentive-lm | d08ce1813a5ee575c0aac86773cd95aa174ab5e1 | [
"MIT"
] | 16 | 2019-01-28T16:39:52.000Z | 2021-12-25T11:07:55.000Z | utils/get_dataset.py | MarkWuCL/pytorch-attentive-lm | d08ce1813a5ee575c0aac86773cd95aa174ab5e1 | [
"MIT"
] | 1 | 2021-09-14T22:14:28.000Z | 2021-09-15T16:12:43.000Z | utils/get_dataset.py | MarkWuCL/pytorch-attentive-lm | d08ce1813a5ee575c0aac86773cd95aa174ab5e1 | [
"MIT"
] | 6 | 2019-01-25T00:08:33.000Z | 2022-02-15T06:47:54.000Z | import os
import torch
from torch.utils.data import DataLoader, TensorDataset
import requests
import io
import zipfile
from .data_reader import read_vocabulary, read_lm_data, lm_data_producer
from .pre_process_wikitext import pre_process
def get_dataset(dataset, batch_size, device):
"""
Returns data iterator... | 37.896 | 90 | 0.677222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,333 | 0.281402 |
40bb7183ce1df8b018466acd5e09bcd49d75d2d5 | 289 | py | Python | Conteudo das Aulas/087/calc_est.py | cerberus707/lab-python | ebba3c9cde873d70d4bb61084f79ce30b7f9e047 | [
"Apache-2.0"
] | null | null | null | Conteudo das Aulas/087/calc_est.py | cerberus707/lab-python | ebba3c9cde873d70d4bb61084f79ce30b7f9e047 | [
"Apache-2.0"
] | null | null | null | Conteudo das Aulas/087/calc_est.py | cerberus707/lab-python | ebba3c9cde873d70d4bb61084f79ce30b7f9e047 | [
"Apache-2.0"
] | null | null | null | from tkinter import *
#Cria a nossa tela
instancia = Tk()
#Dá um título a tela
instancia.title('Calculadora para Estatística')
#Dá um tamanho a tela
instancia.geometry("800x600")
#Dá um ícone ao aplicativo
#instancia.wm_iconbitmap('icone.ico')
#Inicia o programa
instancia.mainloop()
| 17 | 47 | 0.761246 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 185 | 0.627119 |
40bb7e3f95f2a2dc9b27a2c8dd06c761ef722a37 | 6,235 | py | Python | property_scraper.py | iplaughlin/property_scraping | 739d05a272eddb5f2b48f9fc85f407904067b931 | [
"MIT"
] | null | null | null | property_scraper.py | iplaughlin/property_scraping | 739d05a272eddb5f2b48f9fc85f407904067b931 | [
"MIT"
] | null | null | null | property_scraper.py | iplaughlin/property_scraping | 739d05a272eddb5f2b48f9fc85f407904067b931 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sat Mar 19 09:42:09 2022
@author: iaala
"""
import requests
import sql_configs
import datetime
import os
from bs4 import BeautifulSoup
import time
from find_tables import (
table_information_one,
table_information_two,
table_information_three,
table_information_... | 42.705479 | 121 | 0.559262 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 935 | 0.14996 |
40bc7b5a674a2b504a89d6769ec57fdcc5fda4af | 357 | py | Python | Chapter03/Activity11/fibonacci.py | vumaasha/python-workshop | 0fbc21c514a8df5bfffb8db926e451232c6c08bf | [
"MIT"
] | null | null | null | Chapter03/Activity11/fibonacci.py | vumaasha/python-workshop | 0fbc21c514a8df5bfffb8db926e451232c6c08bf | [
"MIT"
] | null | null | null | Chapter03/Activity11/fibonacci.py | vumaasha/python-workshop | 0fbc21c514a8df5bfffb8db926e451232c6c08bf | [
"MIT"
] | null | null | null | def fibonacci_iterative(n):
previous = 0
current = 1
for i in range(n - 1):
current_old = current
current = previous + current
previous = current_old
return current
def fibonacci_recursive(n):
if n == 0 or n == 1:
return n
else:
return fibonacci_recursive... | 23.8 | 70 | 0.602241 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
40be64921673daa0d8c5613e61a252c64c6e744e | 1,002 | py | Python | matches/tests/test_view_index.py | ToxaZ/nostradamus | adda478685d60df24da106c15d734d02f01ed339 | [
"WTFPL"
] | null | null | null | matches/tests/test_view_index.py | ToxaZ/nostradamus | adda478685d60df24da106c15d734d02f01ed339 | [
"WTFPL"
] | 4 | 2021-06-02T23:01:40.000Z | 2021-07-25T15:02:42.000Z | matches/tests/test_view_index.py | ToxaZ/nostradamus | adda478685d60df24da106c15d734d02f01ed339 | [
"WTFPL"
] | null | null | null | from django.urls import resolve, reverse
from django.test import TestCase
from matches.views import matches_index
from matches.models import Match
class AllMatchesTests(TestCase):
def setUp(self):
self.match = Match.objects.create(
match_id=1,
home_team='Netherlands',
g... | 33.4 | 77 | 0.675649 | 852 | 0.850299 | 0 | 0 | 0 | 0 | 0 | 0 | 118 | 0.117764 |
40be6781a367fb391b4b06b4f46533ac8dd9e99d | 5,871 | py | Python | hmc/applications/banana/banana.py | JamesBrofos/Thresholds-in-Hamiltonian-Monte-Carlo | 7ee1b530db0eb536666dbc872fbf8200e53dd49b | [
"MIT"
] | 1 | 2021-11-23T15:40:07.000Z | 2021-11-23T15:40:07.000Z | hmc/applications/banana/banana.py | JamesBrofos/Thresholds-in-Hamiltonian-Monte-Carlo | 7ee1b530db0eb536666dbc872fbf8200e53dd49b | [
"MIT"
] | null | null | null | hmc/applications/banana/banana.py | JamesBrofos/Thresholds-in-Hamiltonian-Monte-Carlo | 7ee1b530db0eb536666dbc872fbf8200e53dd49b | [
"MIT"
] | null | null | null | from typing import Callable, Tuple
import numpy as np
def posterior_factory(y: np.ndarray, sigma_y: float, sigma_theta: float) -> Tuple[Callable]:
"""The banana distribution is a distribution that exhibits a characteristic
banana-shaped ridge that resembles the posterior that can emerge from
models that ... | 35.36747 | 106 | 0.62698 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,598 | 0.612843 |
40c04be7b7e97b73786d758981e90307e422880f | 3,141 | py | Python | msp430.py | sprout42/binaryninja-msp430 | 9bc5a79b1c6232260c2abc3bb4334e5ca3478baf | [
"MIT"
] | null | null | null | msp430.py | sprout42/binaryninja-msp430 | 9bc5a79b1c6232260c2abc3bb4334e5ca3478baf | [
"MIT"
] | null | null | null | msp430.py | sprout42/binaryninja-msp430 | 9bc5a79b1c6232260c2abc3bb4334e5ca3478baf | [
"MIT"
] | null | null | null | from binaryninja import (
Architecture,
BranchType,
FlagRole,
InstructionInfo,
LowLevelILFlagCondition,
RegisterInfo,
)
from .instructions import TYPE3_INSTRUCTIONS, Instruction, Registers
from .lifter import Lifter
class MSP430(Architecture):
name = "msp430"
address_size = 2
defa... | 30.794118 | 86 | 0.617638 | 2,897 | 0.922318 | 0 | 0 | 0 | 0 | 0 | 0 | 380 | 0.120981 |
40c0c0515519976b7d3396916ff20c4b1d6edd0a | 126 | py | Python | app/domain/__init__.py | emge1/tracardi | 0a4a8a38f0f769464f50d3c1113b798107810810 | [
"MIT"
] | null | null | null | app/domain/__init__.py | emge1/tracardi | 0a4a8a38f0f769464f50d3c1113b798107810810 | [
"MIT"
] | null | null | null | app/domain/__init__.py | emge1/tracardi | 0a4a8a38f0f769464f50d3c1113b798107810810 | [
"MIT"
] | null | null | null | __all__ = [
'session',
'event',
'profile',
'consent',
'segment',
'source',
'rule',
'entity'
]
| 11.454545 | 14 | 0.444444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 0.515873 |
40c32fb91113902b7c534e034974797ba31567b9 | 3,868 | py | Python | metric_calculation/faster_metrics.py | imatge-upc/saliency-2018-videosalgan | 5e4bf3892d55d8b9f37490e119113c2094be3bce | [
"MIT"
] | 10 | 2018-09-06T03:56:59.000Z | 2020-07-26T11:02:50.000Z | metric_calculation/faster_metrics.py | imatge-upc/saliency-2018-videosalgan | 5e4bf3892d55d8b9f37490e119113c2094be3bce | [
"MIT"
] | null | null | null | metric_calculation/faster_metrics.py | imatge-upc/saliency-2018-videosalgan | 5e4bf3892d55d8b9f37490e119113c2094be3bce | [
"MIT"
] | 3 | 2019-01-07T19:34:12.000Z | 2019-07-03T07:41:48.000Z | from salience_metrics import auc_judd, auc_shuff, cc, nss, similarity, normalize_map
"""
DHF1K paper: "we employ five classic met-rics, namely Normalized Scanpath Saliency (NSS), Sim-ilarity Metric (SIM), Linear Correlation Coefficient (CC),AUC-Judd (AUC-J), and shuffled AUC (s-AUC).""
"""
import cv2
import o... | 39.876289 | 207 | 0.668046 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,199 | 0.309979 |
40c346f9a8e289985909d8a308d6ecd6f7e032ea | 1,061 | py | Python | tests/rules/test_pacman_invalid_option.py | RogueScholar/thefuck-termux | cc33d5fa0077b2b2323b8a62f3478ff8efef3fba | [
"MIT"
] | null | null | null | tests/rules/test_pacman_invalid_option.py | RogueScholar/thefuck-termux | cc33d5fa0077b2b2323b8a62f3478ff8efef3fba | [
"MIT"
] | null | null | null | tests/rules/test_pacman_invalid_option.py | RogueScholar/thefuck-termux | cc33d5fa0077b2b2323b8a62f3478ff8efef3fba | [
"MIT"
] | null | null | null | import pytest
from thefuck.rules.pacman_invalid_option import get_new_command
from thefuck.rules.pacman_invalid_option import match
from thefuck.types import Command
good_output = """community/shared_meataxe 1.0-3
A set of programs for working with matrix representations over finite fields
"""
bad_output = "erro... | 31.205882 | 80 | 0.748351 | 0 | 0 | 0 | 0 | 707 | 0.666352 | 0 | 0 | 307 | 0.28935 |
40c37866ffff9cefa653877b146a68fc96c42ddf | 11,329 | py | Python | dimod/reference/composites/scalecomposite.py | joseppinilla/dimod | e33ca5045e31ee2d9d58515f017fb6be5276cd8e | [
"Apache-2.0"
] | 1 | 2022-02-01T14:40:05.000Z | 2022-02-01T14:40:05.000Z | dimod/reference/composites/scalecomposite.py | xpin/dimod | 5e399317b0bfaae6ed20e22b9f2ef242f5fa5e6c | [
"Apache-2.0"
] | null | null | null | dimod/reference/composites/scalecomposite.py | xpin/dimod | 5e399317b0bfaae6ed20e22b9f2ef242f5fa5e6c | [
"Apache-2.0"
] | 1 | 2022-02-01T14:40:31.000Z | 2022-02-01T14:40:31.000Z | # Copyright 2019 D-Wave Systems Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | 37.637874 | 101 | 0.603231 | 6,975 | 0.615677 | 0 | 0 | 527 | 0.046518 | 0 | 0 | 4,796 | 0.423338 |
40c4517b7bccc080e6b7ec11639bdde005bb213a | 739 | py | Python | tests/test_config.py | savilard/flask-ecom-api | d94ee7873b9ec80645c05422e3355e8dc045ebeb | [
"MIT"
] | 1 | 2021-04-17T15:25:36.000Z | 2021-04-17T15:25:36.000Z | tests/test_config.py | savilard/flask-ecom-api | d94ee7873b9ec80645c05422e3355e8dc045ebeb | [
"MIT"
] | null | null | null | tests/test_config.py | savilard/flask-ecom-api | d94ee7873b9ec80645c05422e3355e8dc045ebeb | [
"MIT"
] | 1 | 2021-04-18T15:47:02.000Z | 2021-04-18T15:47:02.000Z | import os
def test_development_config(test_app):
test_app.config.from_object('flask_ecom_api.config.DevelopmentConfig')
assert not test_app.config['TESTING']
assert test_app.config['SQLALCHEMY_DATABASE_URI'] == os.environ.get('DATABASE_URL')
def test_testing_config(test_app):
test_app.config.from_ob... | 36.95 | 92 | 0.783491 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 267 | 0.361299 |
40c6d377ec913783afe6edc196ecab48e0003b36 | 6,122 | py | Python | leasing/forms.py | suutari-ai/mvj | c39dbc692afcb3b26366783414c2d5a88a57b25a | [
"MIT"
] | 1 | 2021-01-12T08:14:10.000Z | 2021-01-12T08:14:10.000Z | leasing/forms.py | suutari-ai/mvj | c39dbc692afcb3b26366783414c2d5a88a57b25a | [
"MIT"
] | 249 | 2017-04-18T14:00:13.000Z | 2022-03-30T12:18:03.000Z | leasing/forms.py | suutari-ai/mvj | c39dbc692afcb3b26366783414c2d5a88a57b25a | [
"MIT"
] | 7 | 2017-04-18T08:43:54.000Z | 2021-07-28T07:29:30.000Z | from django import forms
from django.core import validators
from django.core.exceptions import ValidationError
from leasing.enums import (
InfillDevelopmentCompensationState,
LeaseState,
TenantContactType,
)
from leasing.models import Contact, DecisionMaker, District, LeaseType, Municipality
from leasing.v... | 36.658683 | 87 | 0.679353 | 5,749 | 0.939072 | 0 | 0 | 0 | 0 | 0 | 0 | 704 | 0.114995 |
40c712bda8811c80835db84231a9e91605ae40b6 | 675 | py | Python | src/main/management/commands/create_admin_user.py | LokotamaTheMastermind/website-portfolio-django-project | 932d509428d592ee573ff82821b9490c8da9600a | [
"Apache-2.0"
] | null | null | null | src/main/management/commands/create_admin_user.py | LokotamaTheMastermind/website-portfolio-django-project | 932d509428d592ee573ff82821b9490c8da9600a | [
"Apache-2.0"
] | null | null | null | src/main/management/commands/create_admin_user.py | LokotamaTheMastermind/website-portfolio-django-project | 932d509428d592ee573ff82821b9490c8da9600a | [
"Apache-2.0"
] | null | null | null | # polls/management/commands/create_admin_user.py
import sys
import logging
from django.core.management.base import BaseCommand, CommandError
from django.contrib.auth.models import User
from django.conf import settings
class Command(BaseCommand):
help = 'Creates the initial admin user'
def handle(self, *args... | 28.125 | 65 | 0.642963 | 453 | 0.671111 | 0 | 0 | 0 | 0 | 0 | 0 | 150 | 0.222222 |
40c7452a82c23c82f183d4188dfd8d42aa979d41 | 1,597 | py | Python | app.py | jdanper/incredipaper | 4c2d2dc1e2280f19e01d2e8faea4c9a1ae9b5449 | [
"MIT"
] | null | null | null | app.py | jdanper/incredipaper | 4c2d2dc1e2280f19e01d2e8faea4c9a1ae9b5449 | [
"MIT"
] | null | null | null | app.py | jdanper/incredipaper | 4c2d2dc1e2280f19e01d2e8faea4c9a1ae9b5449 | [
"MIT"
] | null | null | null | import unirest
import json
import requests
import os
import subprocess
import time
import argparse
rootUrl = "https://api.unsplash.com/"
unirest.default_header("Accept", "application/json")
unirest.default_header("Accept-Version", "v1")
unirest.default_header("Authorization","<CLIENT-ID>")
def downloadPic(randomPic_... | 40.948718 | 204 | 0.707577 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 695 | 0.435191 |
40c7af774d2446afa75acb06651e91eb7c9447fd | 2,358 | py | Python | tests/client_asyncio_test.py | ninchat/ninchat-python | 7e5fcadb7389ca8c7722c32d69839289675d7baa | [
"BSD-2-Clause"
] | null | null | null | tests/client_asyncio_test.py | ninchat/ninchat-python | 7e5fcadb7389ca8c7722c32d69839289675d7baa | [
"BSD-2-Clause"
] | 4 | 2017-10-12T21:05:12.000Z | 2018-05-17T22:19:08.000Z | tests/client_asyncio_test.py | ninchat/ninchat-python | 7e5fcadb7389ca8c7722c32d69839289675d7baa | [
"BSD-2-Clause"
] | null | null | null | # Copyright (c) 2017, Somia Reality Oy
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# 1. Redistributions of source code must retain the above copyright
# notice, this list of conditions an... | 38.655738 | 133 | 0.725615 | 0 | 0 | 0 | 0 | 0 | 0 | 777 | 0.329517 | 1,578 | 0.669211 |
40c853daa30d56c941424e6324401a40fa450528 | 878 | py | Python | msgraph/base.py | jstacoder/python-msgraph | be9a93f4baa2d89c97a8454ab1d31b8e5fdda38e | [
"Apache-2.0"
] | 2 | 2020-09-23T18:26:22.000Z | 2021-03-10T14:12:49.000Z | msgraph/base.py | jstacoder/python-msgraph | be9a93f4baa2d89c97a8454ab1d31b8e5fdda38e | [
"Apache-2.0"
] | 4 | 2020-09-23T18:25:32.000Z | 2021-03-22T11:07:32.000Z | msgraph/base.py | jstacoder/python-msgraph | be9a93f4baa2d89c97a8454ab1d31b8e5fdda38e | [
"Apache-2.0"
] | 1 | 2020-09-23T18:28:14.000Z | 2020-09-23T18:28:14.000Z | from datetime import datetime
class Base(object):
date_format = '%Y-%m-%d'
time_format = '%H:%M:%S'
datetime_format = date_format + 'T%s' % time_format
full_datetime_format = date_format + 'T' + time_format + '.%f'
iso_format = date_format + 'T%sZ' % time_format
standard_datetime_format = date... | 35.12 | 158 | 0.633257 | 845 | 0.962415 | 0 | 0 | 453 | 0.515945 | 0 | 0 | 51 | 0.058087 |
40c934e19e6344f536502d3f0e951d55cb483721 | 5,641 | py | Python | nc/models.py | caktus/Traffic-Stops | 2c6eda9477f1770c5ad1208a1937c3e828fbfb28 | [
"MIT"
] | 1 | 2021-12-10T14:58:11.000Z | 2021-12-10T14:58:11.000Z | nc/models.py | caktus/Traffic-Stops | 2c6eda9477f1770c5ad1208a1937c3e828fbfb28 | [
"MIT"
] | 5 | 2020-08-12T15:20:31.000Z | 2021-06-10T13:43:02.000Z | nc/models.py | caktus/Traffic-Stops | 2c6eda9477f1770c5ad1208a1937c3e828fbfb28 | [
"MIT"
] | null | null | null | from caching.base import CachingManager, CachingMixin
from django.db import models
from tsdata.models import CensusProfile
PURPOSE_CHOICES = (
(1, "Speed Limit Violation"),
(2, "Stop Light/Sign Violation"),
(3, "Driving While Impaired"),
(4, "Safe Movement Violation"),
(5, "Vehicle Equipment Violat... | 34.607362 | 99 | 0.710867 | 4,223 | 0.748626 | 0 | 0 | 234 | 0.041482 | 0 | 0 | 825 | 0.146251 |
40cc65a33578c41b6882d9360507c431c3bb4a45 | 74 | py | Python | flasky/auth/forms/__init__.py | by46/fasky | c6941972b57284c2167dfacf022f981939249256 | [
"MIT"
] | null | null | null | flasky/auth/forms/__init__.py | by46/fasky | c6941972b57284c2167dfacf022f981939249256 | [
"MIT"
] | null | null | null | flasky/auth/forms/__init__.py | by46/fasky | c6941972b57284c2167dfacf022f981939249256 | [
"MIT"
] | null | null | null | from .login import LoginForm
from .registration import RegistrationForm
| 24.666667 | 43 | 0.837838 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
40ce727b047c06c9d0537e694ab36bc40c4d524b | 552 | py | Python | API_SIMIT_Mail/multapp/urls.py | profefonso/Services-SM | 98b9949a237121451a13fce5bc8f2945fa5a3cee | [
"MIT"
] | null | null | null | API_SIMIT_Mail/multapp/urls.py | profefonso/Services-SM | 98b9949a237121451a13fce5bc8f2945fa5a3cee | [
"MIT"
] | 16 | 2019-12-04T23:02:52.000Z | 2022-02-10T11:57:03.000Z | API_SIMIT_Mail/multapp/urls.py | profefonso/Services-SM | 98b9949a237121451a13fce5bc8f2945fa5a3cee | [
"MIT"
] | null | null | null | from django.urls import path
from django.contrib import admin
from rest_framework_swagger.views import get_swagger_view
from .views import notification
schema_view = get_swagger_view(title='MAIL API')
urlpatterns = [
path('front/betsy/irish/embargo/admin/', admin.site.urls),
# Swagger API
path(
... | 21.230769 | 62 | 0.681159 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 97 | 0.175725 |
40d10458dee4b20d938050badf13c455b5c17307 | 1,097 | py | Python | tests/legacy_mocket.py | jepler/Adafruit_CircuitPython_Requests | 9a9527110726036bfad94b14166e62aa61c1276e | [
"MIT"
] | null | null | null | tests/legacy_mocket.py | jepler/Adafruit_CircuitPython_Requests | 9a9527110726036bfad94b14166e62aa61c1276e | [
"MIT"
] | null | null | null | tests/legacy_mocket.py | jepler/Adafruit_CircuitPython_Requests | 9a9527110726036bfad94b14166e62aa61c1276e | [
"MIT"
] | null | null | null | from unittest import mock
SOCK_STREAM = 0
set_interface = mock.Mock()
interface = mock.MagicMock()
getaddrinfo = mock.Mock()
socket = mock.Mock()
class Mocket:
def __init__(self, response):
self.settimeout = mock.Mock()
self.close = mock.Mock()
self.connect = mock.Mock()
self.sen... | 26.756098 | 61 | 0.610757 | 946 | 0.862352 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0.018232 |
40d10aff20e4192696c984a95bd52419f7e1299a | 2,228 | py | Python | run.py | romeroyakovlev/ii | ae9485df2c3565871994c146001a72db511f3700 | [
"CC0-1.0"
] | 1 | 2017-09-29T09:35:04.000Z | 2017-09-29T09:35:04.000Z | run.py | romeroyakovlev/ii | ae9485df2c3565871994c146001a72db511f3700 | [
"CC0-1.0"
] | null | null | null | run.py | romeroyakovlev/ii | ae9485df2c3565871994c146001a72db511f3700 | [
"CC0-1.0"
] | null | null | null | # -*- coding: utf-8 -*-
import api,points
from api.bottle import *
II_PATH=os.path.dirname(__file__) or '.'
TEMPLATE_PATH.insert(0,II_PATH)
@route('/list.txt')
def list_txt():
response.set_header ('content-type','text/plain; charset=utf-8')
lst = api.load_echo(False)[1:]
if request.query.n:
retur... | 29.706667 | 84 | 0.62702 | 0 | 0 | 0 | 0 | 1,323 | 0.588261 | 0 | 0 | 628 | 0.279235 |
40d1ab4064e3ebc59780f56e6705f5033ef843d8 | 2,080 | py | Python | learning_labs/yang/01-yang/add_loopback_ip.py | hpreston/sbx_nxos | 8952d369b80810d22e0c86485b667cde1519272d | [
"MIT"
] | 33 | 2017-05-19T19:47:33.000Z | 2021-05-16T07:33:39.000Z | learning_labs/yang/01-yang/add_loopback_ip.py | AJNOURI/sbx_nxos | 449ee3c1c88cbd831fd3f90490fc28dd7e02d448 | [
"MIT"
] | 13 | 2017-08-25T16:48:16.000Z | 2021-09-23T23:21:58.000Z | learning_labs/yang/01-yang/add_loopback_ip.py | vbohinc/sbx_nxos | 744c34fffd32b1c973ac791123afd6cc811e0d8b | [
"MIT"
] | 20 | 2017-06-19T09:32:20.000Z | 2022-02-20T05:33:14.000Z | #!/usr/bin/env python
from ncclient import manager
import sys
from lxml import etree
# Set the device variables
DEVICES = ['172.16.30.101', '172.16.30.102']
USER = 'admin'
PASS = 'admin'
PORT = 830
LOOPBACK_IP = {
'172.16.30.101': '10.99.99.1/24',
'172.16.30.102': '10.99.99.2/24'
}
DEVICE_NAMES = {'172.16.3... | 30.144928 | 117 | 0.479327 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,212 | 0.582692 |
40d1e35fdcc4995890f4efabdc25434ef9f00eb5 | 5,704 | py | Python | Plotly_Dash/spacex_dash_app.py | AtypicalLogic/Coursera-IBM_DS-Applied_Data_Science_Capstone | 2659fcae1a8d5fec13ab632aee1492a29e9585ee | [
"MIT"
] | null | null | null | Plotly_Dash/spacex_dash_app.py | AtypicalLogic/Coursera-IBM_DS-Applied_Data_Science_Capstone | 2659fcae1a8d5fec13ab632aee1492a29e9585ee | [
"MIT"
] | null | null | null | Plotly_Dash/spacex_dash_app.py | AtypicalLogic/Coursera-IBM_DS-Applied_Data_Science_Capstone | 2659fcae1a8d5fec13ab632aee1492a29e9585ee | [
"MIT"
] | null | null | null | # To run this file, Win Start > cmd > file dir > run: python spacex_dash_app.py
# Import required libraries
import pandas as pd
import dash
from dash import html
from dash import dcc
from dash.dependencies import Input, Output
import plotly.express as px
# Read the airline data into pandas dataframe
spacex_df = pd.rea... | 52.330275 | 223 | 0.58082 | 0 | 0 | 0 | 0 | 2,301 | 0.403401 | 0 | 0 | 2,568 | 0.45021 |
40d2f193783c709a9e4416360cda1c6098d93420 | 1,430 | py | Python | configs/mnist_paper_residual_cnn_gp.py | rhaps0dy/cnn-gp | 5726bd10debbddcffb3dc1f5c671f5dceedf007d | [
"BSD-2-Clause"
] | 23 | 2019-06-21T15:03:45.000Z | 2022-01-24T11:34:16.000Z | configs/mnist_paper_residual_cnn_gp.py | rhaps0dy/cnn-gp | 5726bd10debbddcffb3dc1f5c671f5dceedf007d | [
"BSD-2-Clause"
] | null | null | null | configs/mnist_paper_residual_cnn_gp.py | rhaps0dy/cnn-gp | 5726bd10debbddcffb3dc1f5c671f5dceedf007d | [
"BSD-2-Clause"
] | 10 | 2019-06-21T14:52:55.000Z | 2021-12-01T19:05:38.000Z | """
The best randomly-searched ResNet reported in the paper.
In the original paper there is a bug. This network sums together layers after
the ReLU nonlinearity, which are not Gaussian, and also do not have mean 0. As
a result, the overall network does not converge to a Gaussian process. The
defined kernel is still va... | 31.086957 | 79 | 0.702098 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 612 | 0.427972 |
40d397efdfc75b4459bce3aac322fa920256a163 | 2,956 | py | Python | python/learn/PythonDataVisualizationCookbookSE_Code/Chapter 07/ch07_rec08_scatterplot.py | flyingwjw/Documentation | 567608f388ca369b864c2d75a94647801b5dfa1e | [
"Unlicense"
] | null | null | null | python/learn/PythonDataVisualizationCookbookSE_Code/Chapter 07/ch07_rec08_scatterplot.py | flyingwjw/Documentation | 567608f388ca369b864c2d75a94647801b5dfa1e | [
"Unlicense"
] | null | null | null | python/learn/PythonDataVisualizationCookbookSE_Code/Chapter 07/ch07_rec08_scatterplot.py | flyingwjw/Documentation | 567608f388ca369b864c2d75a94647801b5dfa1e | [
"Unlicense"
] | 2 | 2020-09-22T18:37:46.000Z | 2021-09-02T11:02:59.000Z | import matplotlib.pyplot as plt
import numpy as np
# daily search trend for keyword 'flowers' for a year
d = [
1.04, 1.04, 1.16, 1.22, 1.46, 2.34, 1.16, 1.12, 1.24, 1.30, 1.44, 1.22, 1.26,
1.34, 1.26, 1.40, 1.52, 2.56, 1.36, 1.30, 1.20, 1.12, 1.12, 1.12, 1.06, 1.06,
1.00, 1.02, 1.04, 1.02, 1.06, 1.02, 1.04, 0.98, 0... | 46.1875 | 78 | 0.552436 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 209 | 0.070704 |
40d5469fd32315fb7f4708a40672a155712e5afb | 22,427 | py | Python | src/thespian/tweaks.py | mtttech/dndpersonae | c4fa129d1e940c9f9a5e29d703e3988b45d90356 | [
"MIT"
] | 1 | 2022-03-28T16:10:15.000Z | 2022-03-28T16:10:15.000Z | src/thespian/tweaks.py | mtttech/dndpersonae | c4fa129d1e940c9f9a5e29d703e3988b45d90356 | [
"MIT"
] | null | null | null | src/thespian/tweaks.py | mtttech/dndpersonae | c4fa129d1e940c9f9a5e29d703e3988b45d90356 | [
"MIT"
] | null | null | null | from dataclasses import dataclass
import logging
from attributes import get_ability_modifier
from sourcetree.utils import (
get_feats_list,
get_feat_perks,
get_feat_proficiencies,
get_feat_requirements,
)
from stdio import prompt
log = logging.getLogger("thespian.tweaks")
class AbilityScoreImproveme... | 40.481949 | 101 | 0.514112 | 22,113 | 0.985999 | 0 | 0 | 10,438 | 0.465421 | 0 | 0 | 6,347 | 0.283007 |
40d5a5d08da3928cd30de9755f828a4c98f498bf | 4,135 | py | Python | atomic1D/ImpuritySpecies.py | TBody/atomic1D | fcab88f3b303468f23ac75b847c76244593f4b7f | [
"MIT"
] | 1 | 2019-05-18T22:32:21.000Z | 2019-05-18T22:32:21.000Z | atomic1D/ImpuritySpecies.py | TBody/atomic1D | fcab88f3b303468f23ac75b847c76244593f4b7f | [
"MIT"
] | null | null | null | atomic1D/ImpuritySpecies.py | TBody/atomic1D | fcab88f3b303468f23ac75b847c76244593f4b7f | [
"MIT"
] | null | null | null | class ImpuritySpecies(object):
# For storing OpenADAS data related to a particular impurity species
# Loosely based on cfe316/atomic/atomic_data.py/AtomicData class (although with much less code since
# all of the F77 importing is done in the seperate <<make json_update>> code since BOUT++ protocol
# requires fort... | 47.528736 | 163 | 0.680774 | 4,134 | 0.999758 | 0 | 0 | 0 | 0 | 0 | 0 | 2,130 | 0.515115 |
40d5ed5ea76d8603996be2780920650b434417e6 | 9,213 | py | Python | Utils/Matrix.py | valavanisleonidas/Machine_Learning_Toolkit | 4a66e1419189e279a82fa6a7ff7945153308842a | [
"MIT"
] | null | null | null | Utils/Matrix.py | valavanisleonidas/Machine_Learning_Toolkit | 4a66e1419189e279a82fa6a7ff7945153308842a | [
"MIT"
] | null | null | null | Utils/Matrix.py | valavanisleonidas/Machine_Learning_Toolkit | 4a66e1419189e279a82fa6a7ff7945153308842a | [
"MIT"
] | null | null | null | import os
import platform
import numpy
class Matrix:
def __init__(self):
if platform.system() == "Windows":
self.delimiterForPath = "\\"
else:
self.delimiterForPath = "/"
self.labelsDType = numpy.int32
self.imagesDType = numpy.float32
def deleteRows(se... | 43.457547 | 151 | 0.64485 | 6,917 | 0.750787 | 0 | 0 | 0 | 0 | 0 | 0 | 2,875 | 0.312059 |
40d66ffe931947e9a30f4f5ac4f0646b982e924f | 7,906 | py | Python | networking_calico/plugins/ml2/drivers/calico/policy.py | manojcode/networking-calico | db709fb27b492d3be3c094fa43e8c696962369b7 | [
"Apache-2.0"
] | null | null | null | networking_calico/plugins/ml2/drivers/calico/policy.py | manojcode/networking-calico | db709fb27b492d3be3c094fa43e8c696962369b7 | [
"Apache-2.0"
] | null | null | null | networking_calico/plugins/ml2/drivers/calico/policy.py | manojcode/networking-calico | db709fb27b492d3be3c094fa43e8c696962369b7 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2018 Tigera, Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 39.728643 | 79 | 0.611055 | 2,598 | 0.328611 | 0 | 0 | 0 | 0 | 0 | 0 | 2,856 | 0.361245 |
40d757b3788e8715de2cff8adf8b1027f7b43c6d | 4,359 | py | Python | 25/main.py | gosha20777/mipt-bioinfo-2021 | ed14975e9f597e7b2427bc589f12ac08d451c509 | [
"MIT"
] | null | null | null | 25/main.py | gosha20777/mipt-bioinfo-2021 | ed14975e9f597e7b2427bc589f12ac08d451c509 | [
"MIT"
] | null | null | null | 25/main.py | gosha20777/mipt-bioinfo-2021 | ed14975e9f597e7b2427bc589f12ac08d451c509 | [
"MIT"
] | null | null | null | def global_alignment(seq1, seq2, score_matrix, penalty):
len1, len2 = len(seq1), len(seq2)
s = [[0] * (len2 + 1) for i in range(len1 + 1)]
backtrack = [[0] * (len2 + 1) for i in range(len1 + 1)]
for i in range(1, len1 + 1):
s[i][0] = - i * penalty
for j in range(1, len2 + 1):
s[0][j]... | 39.990826 | 115 | 0.532003 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 62 | 0.014223 |
40d75b3cb34c1d537273d852cc304bd850526e28 | 10,039 | py | Python | utils/visualize_tree.py | moyiming1/Retrosynthesis-pathway-ranking | 380f31189d09395d0de911759b8bcea436b559b2 | [
"MIT"
] | 10 | 2021-02-24T02:31:40.000Z | 2022-02-17T07:58:46.000Z | utils/visualize_tree.py | wangxr0526/Retrosynthesis-pathway-ranking | 380f31189d09395d0de911759b8bcea436b559b2 | [
"MIT"
] | 1 | 2022-02-14T16:13:59.000Z | 2022-02-14T16:13:59.000Z | utils/visualize_tree.py | wangxr0526/Retrosynthesis-pathway-ranking | 380f31189d09395d0de911759b8bcea436b559b2 | [
"MIT"
] | 3 | 2021-01-05T11:43:03.000Z | 2022-02-17T08:52:27.000Z | import os, sys
project_path = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.append(project_path)
import pickle
def construct_tree_for_visual(tree, node_info_key, depth=0):
tree_for_visual = {'smiles': 'http://askcos.mit.edu/draw/smiles/' + str(tree['smiles']).replace('#', '%23'),
... | 47.131455 | 123 | 0.574858 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,899 | 0.487802 |
40d7ebe962811bafc69c16d6ae16e6cb4f35d53d | 3,955 | py | Python | python-is-easy/assignments/snowman/main.py | eDyablo/pirple | 08910c7574203f685a0971cba61a54166d805a1c | [
"MIT"
] | null | null | null | python-is-easy/assignments/snowman/main.py | eDyablo/pirple | 08910c7574203f685a0971cba61a54166d805a1c | [
"MIT"
] | null | null | null | python-is-easy/assignments/snowman/main.py | eDyablo/pirple | 08910c7574203f685a0971cba61a54166d805a1c | [
"MIT"
] | null | null | null | '''
Homework assignment for the 'Python is easy' course by Pirple.
Written be Ed Yablonsky.
Snowman(Hangman) game.
'''
from os import (
name as os_name,
system as system_call,
)
from os.path import (
abspath,
dirname,
join as join_path,
)
'''
Screen displays game output
'''
class Screen:
de... | 23.682635 | 81 | 0.551707 | 3,378 | 0.854109 | 0 | 0 | 0 | 0 | 0 | 0 | 546 | 0.138053 |
40d82abf6ddc30ada008f9205fa131b2828d8ba2 | 2,569 | py | Python | src/GenericTsvReader.py | getzlab/ABSOLUTE | cd443ec9370df98778d98227bb9a11c3e24c00cb | [
"BSD-3-Clause"
] | null | null | null | src/GenericTsvReader.py | getzlab/ABSOLUTE | cd443ec9370df98778d98227bb9a11c3e24c00cb | [
"BSD-3-Clause"
] | null | null | null | src/GenericTsvReader.py | getzlab/ABSOLUTE | cd443ec9370df98778d98227bb9a11c3e24c00cb | [
"BSD-3-Clause"
] | null | null | null | """
Created on Jul 5, 2012
@author: lichtens
"""
import csv
import os
class GenericTsvReader(object):
"""
Read a TSV file.
This class wraps a DictReader, but handles comments, which are not handled gracefully in the python csv library.
The next() method assumes user is interested in the ... | 33.802632 | 124 | 0.652005 | 2,488 | 0.96847 | 0 | 0 | 0 | 0 | 0 | 0 | 1,020 | 0.397042 |
40db83a1176151c4bc0bdff2477e10a8b1ab20a4 | 12,376 | py | Python | examples/applications/plot_impact_imbalanced_classes.py | cdchushig/imbalanced-learn | f02e7c7c2c021c85823cace405ca2c58ad4ff147 | [
"MIT"
] | 5,678 | 2016-07-19T10:22:35.000Z | 2022-03-31T22:46:41.000Z | examples/applications/plot_impact_imbalanced_classes.py | cdchushig/imbalanced-learn | f02e7c7c2c021c85823cace405ca2c58ad4ff147 | [
"MIT"
] | 759 | 2016-07-19T05:41:59.000Z | 2022-03-28T11:00:10.000Z | examples/applications/plot_impact_imbalanced_classes.py | cdchushig/imbalanced-learn | f02e7c7c2c021c85823cace405ca2c58ad4ff147 | [
"MIT"
] | 1,165 | 2016-07-19T22:56:42.000Z | 2022-03-31T22:46:45.000Z | """
==========================================================
Fitting model on imbalanced datasets and how to fight bias
==========================================================
This example illustrates the problem induced by learning on datasets having
imbalanced classes. Subsequently, we compare different approac... | 33.906849 | 87 | 0.747253 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7,178 | 0.579994 |
40dc4792e5546b69652c162537bffd53c76ae2d8 | 3,949 | py | Python | python/fix-page-breaks.py | utcompling/GeoAnnotate | a864106d9595e8426339f1d34432a54e04cee66a | [
"Apache-2.0"
] | 9 | 2015-11-19T06:03:08.000Z | 2021-02-16T19:14:42.000Z | python/fix-page-breaks.py | utcompling/GeoAnnotate | a864106d9595e8426339f1d34432a54e04cee66a | [
"Apache-2.0"
] | null | null | null | python/fix-page-breaks.py | utcompling/GeoAnnotate | a864106d9595e8426339f1d34432a54e04cee66a | [
"Apache-2.0"
] | 1 | 2018-10-09T23:12:34.000Z | 2018-10-09T23:12:34.000Z | #!/usr/bin/python
import argparse
import re
parser = argparse.ArgumentParser(description='Fix page breaks in War of The Rebellion text')
parser.add_argument('files', nargs='*',
help='Files to process')
args = parser.parse_args()
for file in args.files:
outfile = open(file + ".joined-pagebreak", ... | 36.564815 | 171 | 0.52469 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,443 | 0.365409 |
40dd78243c51556a2be73588a2b4ac205cbb6f28 | 570 | py | Python | 2021/02/part2.py | FranciscoAT/advent-of-code | 69f20696e4c59ff6dfa010b22dd3593ea3d12208 | [
"MIT"
] | null | null | null | 2021/02/part2.py | FranciscoAT/advent-of-code | 69f20696e4c59ff6dfa010b22dd3593ea3d12208 | [
"MIT"
] | null | null | null | 2021/02/part2.py | FranciscoAT/advent-of-code | 69f20696e4c59ff6dfa010b22dd3593ea3d12208 | [
"MIT"
] | null | null | null | def main(file: str) -> None:
depth = 0
distance = 0
aim = 0
with open(f"{file}.in") as f:
for line in f.readlines():
line = line.rstrip().split(" ")
command = line[0]
unit = int(line[1])
if command == "forward":
distance += unit
... | 23.75 | 43 | 0.436842 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 0.145614 |
40dd84dd99f72ec266d9a45433b99fd282b94576 | 6,068 | py | Python | tf_seal/python/tensor.py | karlhigley/tf-seal | 74a38e3ff71d29e862881d56bca84aaa23efd710 | [
"Apache-2.0"
] | 94 | 2019-08-06T16:03:27.000Z | 2022-03-24T18:19:07.000Z | tf_seal/python/tensor.py | karlhigley/tf-seal | 74a38e3ff71d29e862881d56bca84aaa23efd710 | [
"Apache-2.0"
] | 23 | 2019-08-19T16:22:12.000Z | 2022-03-31T15:09:58.000Z | tf_seal/python/tensor.py | karlhigley/tf-seal | 74a38e3ff71d29e862881d56bca84aaa23efd710 | [
"Apache-2.0"
] | 17 | 2019-08-08T22:45:46.000Z | 2022-03-22T08:05:16.000Z | import numpy as np
import tensorflow as tf
import tf_seal.python.ops.seal_ops as ops
from tensorflow.python.keras.utils import tf_utils
from tensorflow.python.client import session as tf_session
from tensorflow.python.framework import ops as tf_ops
class Tensor(object):
def __init__(self, value, secret_key, publ... | 30.492462 | 102 | 0.742914 | 1,529 | 0.251978 | 0 | 0 | 179 | 0.029499 | 0 | 0 | 1,229 | 0.202538 |
40de3e3ad949140a43a1a19f490e5fc039aedb2f | 25,087 | py | Python | program/admin.py | Dumbaz/autoradio-pv | 8aae293e58b2e79a05956c535bb109f74edc89c3 | [
"BSD-3-Clause"
] | null | null | null | program/admin.py | Dumbaz/autoradio-pv | 8aae293e58b2e79a05956c535bb109f74edc89c3 | [
"BSD-3-Clause"
] | null | null | null | program/admin.py | Dumbaz/autoradio-pv | 8aae293e58b2e79a05956c535bb109f74edc89c3 | [
"BSD-3-Clause"
] | null | null | null | from django.core.exceptions import ObjectDoesNotExist
from django.contrib import admin
from django.utils.translation import ugettext_lazy as _
from django.shortcuts import render
from django.conf import settings
from .models import Language, Type, MusicFocus, Category, Topic, RTRCategory, Host, Note, RRule, Schedule, ... | 42.305228 | 173 | 0.585363 | 24,146 | 0.962491 | 0 | 0 | 0 | 0 | 0 | 0 | 7,658 | 0.305258 |
40de4834e40d2116182061d040e90ff70baa0986 | 2,177 | py | Python | test/logic/test_block_features.py | Sam-prog-sudo/Sam.github.io | 75f41ec26b4b3aafcb117e467e38fca1e69f5c87 | [
"MIT"
] | 3 | 2020-07-06T21:03:03.000Z | 2020-07-18T07:02:59.000Z | test/logic/test_block_features.py | Sam-prog-sudo/Sam.github.io | 75f41ec26b4b3aafcb117e467e38fca1e69f5c87 | [
"MIT"
] | null | null | null | test/logic/test_block_features.py | Sam-prog-sudo/Sam.github.io | 75f41ec26b4b3aafcb117e467e38fca1e69f5c87 | [
"MIT"
] | 4 | 2020-07-17T11:16:05.000Z | 2020-10-01T08:57:21.000Z | import hashlib
import json
from time import time
import pytest
from app.chaine.blockchain import Blockchain
@pytest.fixture
def first_block():
return {
'index': 1,
'timestamp': time(),
'transactions': [],
'proof': 1989,
'previous_hash': 1,
}
def test_initialization_... | 23.408602 | 76 | 0.622876 | 0 | 0 | 0 | 0 | 1,076 | 0.494258 | 0 | 0 | 419 | 0.192467 |
40e031fd64128f14855fedd41208af0c66f89410 | 886 | py | Python | urls.py | cartologic/cartoview_graduated_styler | f3dc6b0d48dc95bdd7e68d148a5182a4e259dbf3 | [
"BSD-2-Clause"
] | null | null | null | urls.py | cartologic/cartoview_graduated_styler | f3dc6b0d48dc95bdd7e68d148a5182a4e259dbf3 | [
"BSD-2-Clause"
] | 16 | 2017-08-06T09:49:01.000Z | 2021-09-01T08:40:58.000Z | urls.py | cartologic/cartoview_graduated_styler | f3dc6b0d48dc95bdd7e68d148a5182a4e259dbf3 | [
"BSD-2-Clause"
] | null | null | null | # from django.conf.urls import patterns, url, include
# from django.views.generic import TemplateView
# from . import views, APP_NAME
#
# urlpatterns = patterns('',
# url(r'^$', views.index, name='%s.index' % APP_NAME),
# )
from django.urls import path, re_path, include
from . import views, APP_NAME
from .api impo... | 34.076923 | 110 | 0.705418 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 399 | 0.450339 |
40e07b3163c543bc0b7215aac128eae673625978 | 1,721 | py | Python | core/rest/wscdn.py | cybert79/Osmedeus | 684d853144e2f85343c3367440120142455f296b | [
"MIT"
] | 1 | 2019-06-13T09:14:11.000Z | 2019-06-13T09:14:11.000Z | core/rest/wscdn.py | KbaHaxor/Osmedeus | 0894d52ad5949e9151b0fd05d9746ecafc8057b5 | [
"MIT"
] | null | null | null | core/rest/wscdn.py | KbaHaxor/Osmedeus | 0894d52ad5949e9151b0fd05d9746ecafc8057b5 | [
"MIT"
] | 2 | 2020-01-09T17:48:23.000Z | 2020-01-09T17:48:24.000Z | import os
import glob
import json
from pathlib import Path
from flask_restful import Api, Resource, reqparse
from flask_jwt_extended import jwt_required
from flask import Flask, request, escape, make_response, send_from_directory
import utils
# incase you can't install ansi2html it's won't break the api
try:
from ... | 30.732143 | 91 | 0.654852 | 1,253 | 0.728065 | 0 | 0 | 0 | 0 | 0 | 0 | 264 | 0.153399 |
40e08ff17bc877d0938f412ad22362a39a6d45db | 13,534 | py | Python | custom_components/hahm/services.py | noxhirsch/custom_homematic | afc03c813f44d342f75477e6fcce85fc78515258 | [
"MIT"
] | null | null | null | custom_components/hahm/services.py | noxhirsch/custom_homematic | afc03c813f44d342f75477e6fcce85fc78515258 | [
"MIT"
] | null | null | null | custom_components/hahm/services.py | noxhirsch/custom_homematic | afc03c813f44d342f75477e6fcce85fc78515258 | [
"MIT"
] | null | null | null | """Module with hahomematic services."""
from __future__ import annotations
from datetime import datetime
import logging
from hahomematic.const import (
ATTR_ADDRESS,
ATTR_INTERFACE_ID,
ATTR_NAME,
ATTR_PARAMETER,
ATTR_VALUE,
HmPlatform,
)
from hahomematic.device import HmDevice
from hahomematic... | 32.455635 | 85 | 0.691813 | 0 | 0 | 0 | 0 | 874 | 0.064578 | 7,014 | 0.51825 | 1,446 | 0.106842 |
40e0c14f05e9b921525413c2427c2d6661b5419f | 865 | py | Python | app/migrations/0001_initial.py | MariaAlice00/ifpi-tds-projeto-integrador | e2ce73279c9bf31de0b33b105723ae7a24deac54 | [
"MIT"
] | null | null | null | app/migrations/0001_initial.py | MariaAlice00/ifpi-tds-projeto-integrador | e2ce73279c9bf31de0b33b105723ae7a24deac54 | [
"MIT"
] | null | null | null | app/migrations/0001_initial.py | MariaAlice00/ifpi-tds-projeto-integrador | e2ce73279c9bf31de0b33b105723ae7a24deac54 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.3 on 2021-06-03 00:35
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Livro',
fields=[
('id', models.BigAutoField... | 30.892857 | 117 | 0.564162 | 772 | 0.892486 | 0 | 0 | 0 | 0 | 0 | 0 | 129 | 0.149133 |
40e13f8b874a94920da4e07d42899e93081c3e2f | 4,284 | py | Python | graalpython/com.oracle.graal.python.parser.antlr/postprocess.py | transposit/graalpython | adadf5f211cc67a14bb3aca7c61219513d036b13 | [
"UPL-1.0",
"Apache-2.0",
"OpenSSL"
] | 1 | 2019-05-28T13:04:32.000Z | 2019-05-28T13:04:32.000Z | graalpython/com.oracle.graal.python.parser.antlr/postprocess.py | transposit/graalpython | adadf5f211cc67a14bb3aca7c61219513d036b13 | [
"UPL-1.0",
"Apache-2.0",
"OpenSSL"
] | null | null | null | graalpython/com.oracle.graal.python.parser.antlr/postprocess.py | transposit/graalpython | adadf5f211cc67a14bb3aca7c61219513d036b13 | [
"UPL-1.0",
"Apache-2.0",
"OpenSSL"
] | null | null | null | # Copyright (c) 2018, 2019, Oracle and/or its affiliates. All rights reserved.
# DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
#
# The Universal Permissive License (UPL), Version 1.0
#
# Subject to the condition set forth below, permission is hereby granted to any
# person obtaining a copy of this softw... | 37.911504 | 88 | 0.722222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,399 | 0.793417 |
40e2d06c8105c95bcdc7c6b4d3475a48fa240fbc | 6,284 | py | Python | scripts/ape_protocol_deploy.py | coordinape/coordinape-protocol | 8c90de1b1fbc19bab05e1c5848813d022492753a | [
"MIT"
] | 22 | 2021-10-17T23:19:38.000Z | 2022-03-24T05:13:56.000Z | scripts/ape_protocol_deploy.py | coordinape/coordinape-protocol | 8c90de1b1fbc19bab05e1c5848813d022492753a | [
"MIT"
] | 12 | 2021-09-29T16:27:03.000Z | 2022-03-30T17:54:08.000Z | scripts/ape_protocol_deploy.py | coordinape/coordinape-protocol | 8c90de1b1fbc19bab05e1c5848813d022492753a | [
"MIT"
] | 4 | 2021-10-14T19:08:36.000Z | 2022-03-29T16:42:21.000Z | from brownie import accounts, Wei, chain, ApeToken, ApeVaultFactory, ApeDistributor, ApeRegistry, ApeRouter, FeeRegistry, MockRegistry, MockVaultFactory, MockToken, MockVault
def deploy_token():
funds = accounts.load('moist', '\0')
user = accounts.load('ape_deployer', '\0')
multi_sig = '0x15B513F658f7390D8720dCE32... | 56.107143 | 174 | 0.732336 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,269 | 0.361076 |
40e6bbe29a59bd4a98298179d233b2bfddb4c1e0 | 971 | py | Python | groups/views.py | MAKENTNU/web | 7a5b512bf4c087d1561cdb623d7df4b3d04811a2 | [
"MIT"
] | 10 | 2017-11-25T01:47:20.000Z | 2020-03-24T18:28:24.000Z | groups/views.py | MAKENTNU/web | 7a5b512bf4c087d1561cdb623d7df4b3d04811a2 | [
"MIT"
] | 319 | 2017-11-16T09:56:03.000Z | 2022-03-28T00:24:37.000Z | groups/views.py | MAKENTNU/web | 7a5b512bf4c087d1561cdb623d7df4b3d04811a2 | [
"MIT"
] | 6 | 2017-11-12T14:04:08.000Z | 2021-03-10T09:41:18.000Z | from django.contrib.auth.mixins import PermissionRequiredMixin
from django.urls import reverse_lazy
from django.views.generic import DetailView, ListView, UpdateView
from .models import Committee
class CommitteeList(ListView):
model = Committee
template_name = 'groups/committee_list.html'
context_object_... | 30.34375 | 65 | 0.77137 | 762 | 0.784758 | 0 | 0 | 0 | 0 | 0 | 0 | 226 | 0.23275 |
40e730ac41b56af4d3f51d091a10e9b22fdce408 | 2,200 | py | Python | src/programy/braintree.py | motazsaad/fit-bot-fb-clt | 580477aa1ec91855b621d9ae276f2705962f6a87 | [
"MIT"
] | null | null | null | src/programy/braintree.py | motazsaad/fit-bot-fb-clt | 580477aa1ec91855b621d9ae276f2705962f6a87 | [
"MIT"
] | null | null | null | src/programy/braintree.py | motazsaad/fit-bot-fb-clt | 580477aa1ec91855b621d9ae276f2705962f6a87 | [
"MIT"
] | 4 | 2019-04-01T15:42:23.000Z | 2020-11-05T08:14:27.000Z | """
Copyright (c) 2016-2019 Keith Sterling http://www.keithsterling.com
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
documentation files (the "Software"), to deal in the Software without restriction, including without limitation
the rights to use, copy, m... | 55 | 120 | 0.782727 | 923 | 0.419545 | 0 | 0 | 0 | 0 | 0 | 0 | 1,143 | 0.519545 |
40ea3c645ea543c1874475b7543e5383d030798e | 6,095 | py | Python | reana_commons/publisher.py | marcdiazsan/reana-commons | 6e3a64db6798ab86aa521da02fa889459a382083 | [
"MIT"
] | null | null | null | reana_commons/publisher.py | marcdiazsan/reana-commons | 6e3a64db6798ab86aa521da02fa889459a382083 | [
"MIT"
] | null | null | null | reana_commons/publisher.py | marcdiazsan/reana-commons | 6e3a64db6798ab86aa521da02fa889459a382083 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# This file is part of REANA.
# Copyright (C) 2018 CERN.
#
# REANA is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
"""REANA-Commons module to manage AMQP connections on REANA."""
import json
import logging
fr... | 34.828571 | 85 | 0.620673 | 5,571 | 0.914028 | 0 | 0 | 0 | 0 | 0 | 0 | 2,785 | 0.456932 |
40ea5c5e0176d43f5d51fa89b969ce72cc0fce56 | 1,219 | py | Python | model/commit.py | uniaim-event-team/pullre-kun | 60ee86c399d34254c82974a5debcdcb7d332f2a1 | [
"MIT"
] | 3 | 2020-03-24T08:06:37.000Z | 2020-03-29T08:53:55.000Z | model/commit.py | uniaim-event-team/pullre-kun | 60ee86c399d34254c82974a5debcdcb7d332f2a1 | [
"MIT"
] | 7 | 2020-03-23T12:36:01.000Z | 2020-04-11T08:14:06.000Z | model/commit.py | uniaim-event-team/pullre-kun | 60ee86c399d34254c82974a5debcdcb7d332f2a1 | [
"MIT"
] | null | null | null | from sqlalchemy import (
BigInteger,
Column,
DateTime,
Text,
String,
Integer,
)
from sqlalchemy.sql.functions import current_timestamp
from model.base import BaseObject
class Commit(BaseObject):
__tablename__ = 'commits'
id = Column(BigInteger, primary_key=True, autoincrement=True)
... | 31.25641 | 108 | 0.721903 | 1,019 | 0.835931 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0.013946 |
40eaa3da9e931ca4a3dcce107069762aa322fa53 | 24 | py | Python | drae/__init__.py | hso/drae.py | b78772fa055fe5f8acb2bb44d7e7573af277226b | [
"MIT"
] | null | null | null | drae/__init__.py | hso/drae.py | b78772fa055fe5f8acb2bb44d7e7573af277226b | [
"MIT"
] | null | null | null | drae/__init__.py | hso/drae.py | b78772fa055fe5f8acb2bb44d7e7573af277226b | [
"MIT"
] | null | null | null | from drae import search
| 12 | 23 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
40ead0d637c17ba1e4a9c64f3e4137d28ac75a83 | 13,825 | py | Python | tests/components/template/test_select.py | JeffersonBledsoe/core | 3825f80a2dd087ae70654079cd9f3071289b8423 | [
"Apache-2.0"
] | 5 | 2017-01-26T16:33:09.000Z | 2018-07-20T13:50:47.000Z | tests/components/template/test_select.py | JeffersonBledsoe/core | 3825f80a2dd087ae70654079cd9f3071289b8423 | [
"Apache-2.0"
] | 87 | 2020-07-06T22:22:54.000Z | 2022-03-31T06:01:46.000Z | tests/components/template/test_select.py | yuvalkob/home-assistant | 6a5895222ec908acad3cf478897ca2455f88f730 | [
"Apache-2.0"
] | 3 | 2021-05-31T15:32:08.000Z | 2021-08-10T22:08:42.000Z | """The tests for the Template select platform."""
import pytest
from homeassistant import setup
from homeassistant.components.input_select import (
ATTR_OPTION as INPUT_SELECT_ATTR_OPTION,
ATTR_OPTIONS as INPUT_SELECT_ATTR_OPTIONS,
DOMAIN as INPUT_SELECT_DOMAIN,
SERVICE_SELECT_OPTION as INPUT_SELECT_SE... | 32.529412 | 132 | 0.502351 | 0 | 0 | 0 | 0 | 131 | 0.009476 | 12,354 | 0.893599 | 3,294 | 0.238264 |
40eb080a05a597358c0a6ee395b1cbd8baf803e7 | 7,211 | py | Python | corefacility/core/test/models/test_application_access.py | serik1987/corefacility | 78d84e19403361e83ef562e738473849f9133bef | [
"RSA-MD"
] | null | null | null | corefacility/core/test/models/test_application_access.py | serik1987/corefacility | 78d84e19403361e83ef562e738473849f9133bef | [
"RSA-MD"
] | null | null | null | corefacility/core/test/models/test_application_access.py | serik1987/corefacility | 78d84e19403361e83ef562e738473849f9133bef | [
"RSA-MD"
] | null | null | null | import os
import random
import string
import base64
from django.utils import timezone
from django.contrib.auth.hashers import make_password, check_password
from django.test import TestCase
from parameterized import parameterized
from core.models import Module, EntryPoint, ExternalAuthorizationSession, User
AUTHORIZA... | 43.969512 | 113 | 0.627791 | 6,840 | 0.948551 | 0 | 0 | 5,029 | 0.697407 | 0 | 0 | 1,229 | 0.170434 |
40eb7e71257ab84eead04db6c8b696939ea7b84e | 6,729 | py | Python | cmsfix/lib/macro.py | trmznt/cmsfix | 18d0be238f9247421db9603f1946478452336afb | [
"BSD-2-Clause"
] | null | null | null | cmsfix/lib/macro.py | trmznt/cmsfix | 18d0be238f9247421db9603f1946478452336afb | [
"BSD-2-Clause"
] | null | null | null | cmsfix/lib/macro.py | trmznt/cmsfix | 18d0be238f9247421db9603f1946478452336afb | [
"BSD-2-Clause"
] | null | null | null |
from rhombus.lib.utils import get_dbhandler
from rhombus.lib.tags import *
from cmsfix.models.node import Node
import re
# the pattern below is either
# ///123
# <<MacroName>>
# [[MacroName]]
pattern = re.compile('///(\d+)|///\{([\w-]+)\}|\<\;\<\;(.+)\>\;\>\;|\[\[(.+)\]\]')
# syntax for Macro is:
# [[MacroN... | 24.558394 | 96 | 0.541537 | 40 | 0.005944 | 0 | 0 | 3,956 | 0.587903 | 0 | 0 | 1,788 | 0.265716 |
40ed1faf7a529d9d2608043132523587818592bc | 2,629 | py | Python | xastropy/sdss/qso.py | bpholden/xastropy | 66aff0995a84c6829da65996d2379ba4c946dabe | [
"BSD-3-Clause"
] | 3 | 2015-08-23T00:32:58.000Z | 2020-12-31T02:37:52.000Z | xastropy/sdss/qso.py | Kristall-WangShiwei/xastropy | 723fe56cb48d5a5c4cdded839082ee12ef8c6732 | [
"BSD-3-Clause"
] | 104 | 2015-07-17T18:31:54.000Z | 2018-06-29T17:04:09.000Z | xastropy/sdss/qso.py | Kristall-WangShiwei/xastropy | 723fe56cb48d5a5c4cdded839082ee12ef8c6732 | [
"BSD-3-Clause"
] | 16 | 2015-07-17T15:50:37.000Z | 2019-04-21T03:42:47.000Z | '''
#;+
#; NAME:
#; sdss.qso
#; Version 1.1
#;
#; PURPOSE:
#; Class for SDSS QSO
#; 2015 Written by JXP
#;-
#;------------------------------------------------------------------------------
'''
# Import libraries
import numpy as np
import os
from astropy.table import QTable, Column
from astropy.coordinates i... | 30.218391 | 80 | 0.573602 | 2,145 | 0.8159 | 0 | 0 | 0 | 0 | 0 | 0 | 993 | 0.37771 |
40ee9a52429bac1502e511dda17968ae00643dd6 | 41 | py | Python | ez_sten/__init__.py | deadlift1226/ez-sten | 7f754e5648ce6b7d5207a901618b77a8e4382c86 | [
"MIT"
] | null | null | null | ez_sten/__init__.py | deadlift1226/ez-sten | 7f754e5648ce6b7d5207a901618b77a8e4382c86 | [
"MIT"
] | null | null | null | ez_sten/__init__.py | deadlift1226/ez-sten | 7f754e5648ce6b7d5207a901618b77a8e4382c86 | [
"MIT"
] | null | null | null | name = "module"
from .module import func
| 13.666667 | 24 | 0.731707 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0.195122 |
40ef2f9956caa7a12ca34a8e2817ab06584f9a11 | 3,110 | py | Python | wisdem/test/test_optimization_drivers/test_dakota_driver.py | johnjasa/WISDEM | a4571e71cb5b9869c81790f8abb1bb7fba8fdb02 | [
"Apache-2.0"
] | 81 | 2015-01-19T18:17:31.000Z | 2022-03-17T07:14:43.000Z | wisdem/test/test_optimization_drivers/test_dakota_driver.py | johnjasa/WISDEM | a4571e71cb5b9869c81790f8abb1bb7fba8fdb02 | [
"Apache-2.0"
] | 159 | 2015-02-05T01:54:52.000Z | 2022-03-30T22:44:39.000Z | wisdem/test/test_optimization_drivers/test_dakota_driver.py | johnjasa/WISDEM | a4571e71cb5b9869c81790f8abb1bb7fba8fdb02 | [
"Apache-2.0"
] | 70 | 2015-01-02T15:22:39.000Z | 2022-02-11T00:33:07.000Z | import unittest
import numpy as np
from openmdao.utils.assert_utils import assert_near_equal
from wisdem.optimization_drivers.dakota_driver import DakotaOptimizer
try:
import dakota
except ImportError:
dakota = None
@unittest.skipIf(dakota is None, "only run if Dakota is installed.")
class Te... | 40.921053 | 112 | 0.630868 | 2,743 | 0.881994 | 0 | 0 | 2,813 | 0.904502 | 0 | 0 | 714 | 0.229582 |
40f05be8c6d026f9f65c428c8494f859b10c0a2f | 6,848 | py | Python | lab4_runTFCurveFitting.py | pskdev/EveryBodyTensorFlow | 5166a366fca850a72de66e5ac48c421d4bb766f4 | [
"Unlicense"
] | 1 | 2018-04-15T07:36:22.000Z | 2018-04-15T07:36:22.000Z | lab4_runTFCurveFitting.py | pskdev/EveryBodyTensorFlow | 5166a366fca850a72de66e5ac48c421d4bb766f4 | [
"Unlicense"
] | null | null | null | lab4_runTFCurveFitting.py | pskdev/EveryBodyTensorFlow | 5166a366fca850a72de66e5ac48c421d4bb766f4 | [
"Unlicense"
] | null | null | null | #-*- coding: utf-8 -*-
#! /usr/bin/env python
'''
#------------------------------------------------------------
filename: lab4_runTFCurveFitting.py
This is an example for linear regression in tensorflow
Which is a curve fitting example
written by Jaewook Kang @ Aug 2017
#---------------------------------------... | 32.923077 | 131 | 0.631425 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,057 | 0.446408 |
40f1379ab73e0f4b4e9297a1caebe96d0365e7e2 | 577 | py | Python | app/route/stats/route.py | LifeLaboratory/finopolis_backend | 56aac8e0b92193c627b68f3d029f6f804d001db3 | [
"MIT"
] | null | null | null | app/route/stats/route.py | LifeLaboratory/finopolis_backend | 56aac8e0b92193c627b68f3d029f6f804d001db3 | [
"MIT"
] | null | null | null | app/route/stats/route.py | LifeLaboratory/finopolis_backend | 56aac8e0b92193c627b68f3d029f6f804d001db3 | [
"MIT"
] | null | null | null | # coding=utf-8
from app.route.stats.processor import *
from app.api.base.base_router import BaseRouter
from app.api.base import base_name as names
class Stats(BaseRouter):
def __init__(self):
super().__init__()
self.args = [names.face, names.post, names.socnet, names.likes, names.views, names.com... | 25.086957 | 100 | 0.646447 | 427 | 0.740035 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0.024263 |
40f148fc7af6cb3cf9e625820f51746d54b4fd9d | 1,168 | py | Python | script/calculate_correct_percentage_kingdom.py | xie186/dragmap-meth | 6e9ccfd281bd317a56b8c4e87b5386978eb8de45 | [
"MIT"
] | 4 | 2021-12-18T20:33:16.000Z | 2022-01-03T02:54:13.000Z | script/calculate_correct_percentage_kingdom.py | xie186/dragmap-meth | 6e9ccfd281bd317a56b8c4e87b5386978eb8de45 | [
"MIT"
] | null | null | null | script/calculate_correct_percentage_kingdom.py | xie186/dragmap-meth | 6e9ccfd281bd317a56b8c4e87b5386978eb8de45 | [
"MIT"
] | null | null | null | from Bio import TogoWS
import argparse
import sys
import os
def summary(options):
num_reads = 0
num_correct = 0
with open(options.input) as file_input:
for line in file_input:
line = line.rstrip()
ele = line.split("\t")
if "FAILED" in line:
contin... | 29.948718 | 77 | 0.5625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 253 | 0.21661 |
40f24ffc2a5ce750fd7226190ea187a0e43d6f6d | 296 | py | Python | borax/patterns/singleton.py | kinegratii/borax | 3595f554b788c31d0f07be4099db68c854db65f7 | [
"MIT"
] | 51 | 2018-04-18T13:52:15.000Z | 2022-03-23T13:46:02.000Z | borax/patterns/singleton.py | kinegratii/borax | 3595f554b788c31d0f07be4099db68c854db65f7 | [
"MIT"
] | 26 | 2019-05-26T02:22:34.000Z | 2022-03-14T07:50:32.000Z | borax/patterns/singleton.py | kinegratii/borax | 3595f554b788c31d0f07be4099db68c854db65f7 | [
"MIT"
] | 7 | 2018-09-30T08:17:29.000Z | 2020-12-16T01:49:24.000Z | # coding=utf8
class MetaSingleton(type):
def __init__(cls, *args):
type.__init__(cls, *args)
cls.instance = None
def __call__(cls, *args, **kwargs):
if not cls.instance:
cls.instance = type.__call__(cls, *args, **kwargs)
return cls.instance
| 22.769231 | 62 | 0.597973 | 279 | 0.942568 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0.043919 |
40f2de4fdec91fb98024a2bfc2b3ed4d725f2c72 | 5,108 | py | Python | aiida/backends/general/migrations/utils.py | pranavmodx/aiida-core | 0edbbf82dfb97ab130914d1674a6f2217eba5971 | [
"BSD-2-Clause",
"MIT"
] | null | null | null | aiida/backends/general/migrations/utils.py | pranavmodx/aiida-core | 0edbbf82dfb97ab130914d1674a6f2217eba5971 | [
"BSD-2-Clause",
"MIT"
] | 2 | 2019-03-06T11:23:42.000Z | 2020-03-09T09:34:07.000Z | aiida/backends/general/migrations/utils.py | lorisercole/aiida-core | 84c2098318bf234641219e55795726f99dc25a16 | [
"MIT",
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
###########################################################################
# Copyright (c), The AiiDA team. All rights reserved. #
# This file is part of the AiiDA code. #
# ... | 34.053333 | 119 | 0.66758 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,808 | 0.549726 |
40f3ddcdfc03bc9856328d9f89786ad5e9dd0772 | 88 | py | Python | src/models/__init__.py | DwaraknathT/sparsity | 705f2cba074e6ab4f7655c6af98882773cd826bf | [
"MIT"
] | null | null | null | src/models/__init__.py | DwaraknathT/sparsity | 705f2cba074e6ab4f7655c6af98882773cd826bf | [
"MIT"
] | null | null | null | src/models/__init__.py | DwaraknathT/sparsity | 705f2cba074e6ab4f7655c6af98882773cd826bf | [
"MIT"
] | null | null | null | __all__ = ["transformers", "vision"]
from .transformers import *
from .vision import *
| 17.6 | 36 | 0.715909 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0.25 |
40f4220eb6198005a87664aaa2c6ba2fd068a95c | 350 | py | Python | packages/pyright-internal/src/tests/samples/genericTypes12.py | sasano8/pyright | e804f324ee5dbd25fd37a258791b3fd944addecd | [
"MIT"
] | 4,391 | 2019-05-07T01:18:57.000Z | 2022-03-31T20:45:44.000Z | packages/pyright-internal/src/tests/samples/genericTypes12.py | sasano8/pyright | e804f324ee5dbd25fd37a258791b3fd944addecd | [
"MIT"
] | 2,740 | 2019-05-07T03:29:30.000Z | 2022-03-31T12:57:46.000Z | packages/pyright-internal/src/tests/samples/genericTypes12.py | sasano8/pyright | e804f324ee5dbd25fd37a258791b3fd944addecd | [
"MIT"
] | 455 | 2019-05-07T12:55:14.000Z | 2022-03-31T17:09:15.000Z | # This sample tests the checker's ability to enforce
# type invariance for type arguments.
# pyright: strict
from typing import Dict, Union
foo: Dict[Union[int, str], str] = {}
bar: Dict[str, str] = {}
# This should generate an error because
# both type parameters for Dict are invariant,
# and str isn't assignable ... | 23.333333 | 52 | 0.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 237 | 0.677143 |
40f50e67874d55319f2743b79ff2d604900796f7 | 224 | py | Python | test.py | Naveenkhasyap/udacity-ml | 6df851f7b21dee120a8e8f246df7961ea065eeac | [
"MIT"
] | null | null | null | test.py | Naveenkhasyap/udacity-ml | 6df851f7b21dee120a8e8f246df7961ea065eeac | [
"MIT"
] | null | null | null | test.py | Naveenkhasyap/udacity-ml | 6df851f7b21dee120a8e8f246df7961ea065eeac | [
"MIT"
] | null | null | null | how_many_snakes = 1
snake_string = """
Welcome to Python3!
____
/ . .\\
\\ ---<
\\ /
__________/ /
-=:___________/
<3, Juno
"""
print(snake_string * how_many_snakes) | 14 | 37 | 0.473214 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 149 | 0.665179 |
40f5c3fea77f91c61ea3a74c27daae2c26011e43 | 658 | py | Python | Nelson_Alvarez/Assignments/flask_fund/ninja_turtle/turtle.py | webguru001/Python-Django-Web | 6264bc4c90ef1432ba0902c76b567cf3caaae221 | [
"MIT"
] | 5 | 2019-05-17T01:30:02.000Z | 2021-06-17T21:02:58.000Z | Nelson_Alvarez/Assignments/flask_fund/ninja_turtle/turtle.py | curest0x1021/Python-Django-Web | 6264bc4c90ef1432ba0902c76b567cf3caaae221 | [
"MIT"
] | null | null | null | Nelson_Alvarez/Assignments/flask_fund/ninja_turtle/turtle.py | curest0x1021/Python-Django-Web | 6264bc4c90ef1432ba0902c76b567cf3caaae221 | [
"MIT"
] | null | null | null | from flask import Flask
from flask import render_template, redirect, session, request
app = Flask(__name__)
app.secret_key = 'ThisIsSecret'
@app.route('/')
def nothing():
return render_template('index.html')
@app.route('/ninja')
def ninja():
x = 'tmnt'
return render_template('ninjas.html', x=x)
@app.route... | 22.689655 | 102 | 0.682371 | 0 | 0 | 0 | 0 | 490 | 0.744681 | 0 | 0 | 177 | 0.268997 |
40f5d8bb4fa97a86898d698a3335896827401fd2 | 941 | py | Python | neo/Network/Inventory.py | BSathvik/neo-python | 90eddde0128f8ba41207d88fd68041682e307315 | [
"MIT"
] | 15 | 2018-02-27T13:07:00.000Z | 2021-01-29T10:27:41.000Z | neo/Network/Inventory.py | BSathvik/neo-python | 90eddde0128f8ba41207d88fd68041682e307315 | [
"MIT"
] | 3 | 2021-03-20T05:43:51.000Z | 2022-02-11T03:47:50.000Z | neo/Network/Inventory.py | BSathvik/neo-python | 90eddde0128f8ba41207d88fd68041682e307315 | [
"MIT"
] | 6 | 2018-07-13T05:00:44.000Z | 2020-10-28T19:41:54.000Z | # -*- coding:utf-8 -*-
"""
Description:
Inventory Class
Usage:
from neo.Network.Inventory import Inventory
"""
from neo.IO.MemoryStream import MemoryStream
from neocore.IO.BinaryWriter import BinaryWriter
class Inventory(object):
"""docstring for Inventory"""
def __init__(self):
"""
... | 18.82 | 48 | 0.587673 | 724 | 0.769394 | 0 | 0 | 0 | 0 | 0 | 0 | 271 | 0.287991 |
40f5e193e0cc75def4b2ba8e4e082e5183a4bea7 | 4,748 | py | Python | tests/test_api_gateway/test_common/test_exceptions.py | Clariteia/api_gateway_common | e68095f31091699fc6cc4537bd6acf97a8dc6c3e | [
"MIT"
] | 3 | 2021-05-14T08:13:09.000Z | 2021-05-26T11:25:35.000Z | tests/test_api_gateway/test_common/test_exceptions.py | Clariteia/api_gateway_common | e68095f31091699fc6cc4537bd6acf97a8dc6c3e | [
"MIT"
] | 27 | 2021-05-13T08:43:19.000Z | 2021-08-24T17:19:36.000Z | tests/test_api_gateway/test_common/test_exceptions.py | Clariteia/api_gateway_common | e68095f31091699fc6cc4537bd6acf97a8dc6c3e | [
"MIT"
] | null | null | null | """
Copyright (C) 2021 Clariteia SL
This file is part of minos framework.
Minos framework can not be copied and/or distributed without the express permission of Clariteia SL.
"""
import unittest
from minos.api_gateway.common import (
EmptyMinosModelSequenceException,
MinosAttributeValidationException,
Mi... | 39.566667 | 117 | 0.771272 | 3,737 | 0.787068 | 0 | 0 | 0 | 0 | 0 | 0 | 607 | 0.127843 |
40f7a744294465f0d9fa2d8e7fd481a7d36370d7 | 977 | py | Python | native_prophet.py | 1143048123/cddh | 52d91f02359af659343b8c4ad4f2ba349de20852 | [
"MIT"
] | 177 | 2018-01-05T01:46:07.000Z | 2018-03-09T05:32:45.000Z | native_prophet.py | 1143048123/cddh | 52d91f02359af659343b8c4ad4f2ba349de20852 | [
"MIT"
] | 15 | 2018-01-05T03:28:38.000Z | 2018-01-17T03:04:06.000Z | native_prophet.py | 1143048123/cddh | 52d91f02359af659343b8c4ad4f2ba349de20852 | [
"MIT"
] | 55 | 2018-01-05T05:24:55.000Z | 2018-01-25T11:53:38.000Z | # coding: utf-8
# quote from kmaiya/HQAutomator
# 谷歌搜索部分原版搬运，未做修改
import time
import json
import requests
import webbrowser
questions = []
def get_answer():
resp = requests.get('http://htpmsg.jiecaojingxuan.com/msg/current',timeout=4).text
resp_dict = json.loads(resp)
if resp_dict['msg']... | 25.710526 | 87 | 0.58956 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 293 | 0.290387 |
40f82a11d157a4c060d3cd0a073c10873cb2a999 | 21,936 | py | Python | src/utils/TensorflowModel_pb2.py | nicolas-ivanov/MimicAndRephrase | 446674e1e6af133618e0e9888c3650c0ce9012e4 | [
"MIT"
] | 12 | 2019-06-17T19:41:35.000Z | 2022-02-17T19:51:45.000Z | src/utils/TensorflowModel_pb2.py | nicolas-ivanov/MimicAndRephrase | 446674e1e6af133618e0e9888c3650c0ce9012e4 | [
"MIT"
] | 1 | 2021-02-23T15:28:32.000Z | 2021-02-23T15:28:32.000Z | src/utils/TensorflowModel_pb2.py | isabella232/MimicAndRephrase | bd29a995b211cb4f7933fa990b0bba1564c22450 | [
"MIT"
] | 3 | 2020-09-07T16:44:11.000Z | 2020-11-14T19:00:05.000Z | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: TensorflowModel.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf.internal import enum_type_wrapper
from google.protobuf import descriptor as _descriptor
from google.protobuf import messa... | 42.594175 | 2,175 | 0.746034 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,887 | 0.268372 |
40f93ae054bebaa285f8c2f48242d86d8297b31f | 8,460 | py | Python | python/ht/nodes/styles/styles.py | Hengle/Houdini-Toolbox | a1fd7d3dd73d3fc4cea78e29aeff1d190c41bae3 | [
"MIT"
] | 136 | 2015-01-03T04:03:23.000Z | 2022-02-07T11:08:57.000Z | python/ht/nodes/styles/styles.py | Hengle/Houdini-Toolbox | a1fd7d3dd73d3fc4cea78e29aeff1d190c41bae3 | [
"MIT"
] | 11 | 2017-02-09T20:05:04.000Z | 2021-01-24T22:25:59.000Z | python/ht/nodes/styles/styles.py | Hengle/Houdini-Toolbox | a1fd7d3dd73d3fc4cea78e29aeff1d190c41bae3 | [
"MIT"
] | 26 | 2015-08-18T12:11:02.000Z | 2020-12-19T01:53:31.000Z | """Classes representing color entries and mappings."""
# =============================================================================
# IMPORTS
# =============================================================================
from __future__ import annotations
# Standard Library
import re
from typing import TYPE_CHEC... | 28.389262 | 87 | 0.450473 | 7,904 | 0.934279 | 0 | 0 | 1,463 | 0.172931 | 0 | 0 | 3,959 | 0.467967 |
40f9e62c7e463cdddcd04524566bd56b8cb59940 | 1,407 | py | Python | src/sntk/kernels/ntk.py | gear/s-ntk | 3cd72cef4c941941750e03820c9c2850b81d529e | [
"MIT"
] | null | null | null | src/sntk/kernels/ntk.py | gear/s-ntk | 3cd72cef4c941941750e03820c9c2850b81d529e | [
"MIT"
] | null | null | null | src/sntk/kernels/ntk.py | gear/s-ntk | 3cd72cef4c941941750e03820c9c2850b81d529e | [
"MIT"
] | null | null | null | import math
import numpy as np
# return an array K of size (d_max, d_max, N, N), K[i][j] is kernel value of depth i + 1 with first j layers fixed
def kernel_value_batch(X, d_max):
K = np.zeros((d_max, d_max, X.shape[0], X.shape[0]))
for fix_dep in range(d_max):
S = np.matmul(X, X.T)
H = np.ze... | 40.2 | 115 | 0.509595 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 190 | 0.135039 |
40fbdeebc9d14240c78ed2bb4a08d9c0a87ce714 | 1,509 | py | Python | nlpproject/main/words.py | Hrishi2312/IR-reimagined | 2bcaf207a402bdae9fc39be516ccb607ce78d174 | [
"MIT"
] | null | null | null | nlpproject/main/words.py | Hrishi2312/IR-reimagined | 2bcaf207a402bdae9fc39be516ccb607ce78d174 | [
"MIT"
] | null | null | null | nlpproject/main/words.py | Hrishi2312/IR-reimagined | 2bcaf207a402bdae9fc39be516ccb607ce78d174 | [
"MIT"
] | null | null | null | import nltk
from nltk.corpus import stopwords
from nltk.stem import WordNetLemmatizer, PorterStemmer
from nltk.tokenize import sent_tokenize , word_tokenize
import glob
import re
import os
import numpy as np
import sys
nltk.download('stopwords')
nltk.download('punkt')
Stopwords = set(stopwords.words('english'))
all_w... | 28.471698 | 64 | 0.705765 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 72 | 0.047714 |
40fd39b618c9cae6572cdfad086049a95c4b491f | 4,911 | py | Python | oseoserver/operations/describeresultaccess.py | pyoseo/oseoserver | 8c97ee5a7d698cc989e1c8cab8cfe0db78491307 | [
"Apache-2.0"
] | null | null | null | oseoserver/operations/describeresultaccess.py | pyoseo/oseoserver | 8c97ee5a7d698cc989e1c8cab8cfe0db78491307 | [
"Apache-2.0"
] | 10 | 2015-02-10T17:10:33.000Z | 2018-04-05T10:05:01.000Z | oseoserver/operations/describeresultaccess.py | pyoseo/oseoserver | 8c97ee5a7d698cc989e1c8cab8cfe0db78491307 | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 Ricardo Garcia Silva
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agree... | 34.584507 | 76 | 0.696192 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,851 | 0.376909 |
40feb012148cebe6483dabf37d02607456645a00 | 2,210 | py | Python | utils/decorator/dasyncio.py | masonsxu/red-flask | e8b978ee08072efcb2b3b7964065f272d8c875ab | [
"MIT"
] | null | null | null | utils/decorator/dasyncio.py | masonsxu/red-flask | e8b978ee08072efcb2b3b7964065f272d8c875ab | [
"MIT"
] | null | null | null | utils/decorator/dasyncio.py | masonsxu/red-flask | e8b978ee08072efcb2b3b7964065f272d8c875ab | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# 基于python Threading模块封装的异步函数装饰器
import time
from functools import wraps
from threading import Thread
def async_call(fn):
"""一次简单的异步处理操作，装饰在要异步执行的函数前，再调用该函数即可执行单次异步操作(开辟一条新的线程)
Args:
:fn(function):需要异步处理的方法
Return:
:wrapper(function):
"""
@wraps(fn) # 解决... | 19.557522 | 69 | 0.570588 | 0 | 0 | 0 | 0 | 757 | 0.28523 | 0 | 0 | 1,582 | 0.596081 |
40ff8361da6ba11cdb915421c267126671120831 | 872 | py | Python | oo/pessoa.py | wfs18/pythonbirds | aa3332763f9109c1fb7f1140a82a4b51c6402fdb | [
"MIT"
] | null | null | null | oo/pessoa.py | wfs18/pythonbirds | aa3332763f9109c1fb7f1140a82a4b51c6402fdb | [
"MIT"
] | null | null | null | oo/pessoa.py | wfs18/pythonbirds | aa3332763f9109c1fb7f1140a82a4b51c6402fdb | [
"MIT"
] | null | null | null | class Person:
olhos = 2
def __init__(self, *children, name=None, year=0):
self.year = year
self.name = name
self.children = list(children)
def cumprimentar(self):
return 'Hello'
@staticmethod
def metodo_estatico():
return 123
@classmethod
def metod... | 22.947368 | 53 | 0.605505 | 372 | 0.426606 | 0 | 0 | 137 | 0.15711 | 0 | 0 | 101 | 0.115826 |
40ff943d89da7510322d2d4989457bad5b652c0f | 179 | py | Python | tests/integration/test_combined.py | jonathan-winn-geo/new-repo-example | 2fbc54b1d42c57ca1105b1066e47627832cc8185 | [
"BSD-3-Clause"
] | null | null | null | tests/integration/test_combined.py | jonathan-winn-geo/new-repo-example | 2fbc54b1d42c57ca1105b1066e47627832cc8185 | [
"BSD-3-Clause"
] | 85 | 2020-08-12T15:59:48.000Z | 2022-01-17T10:28:56.000Z | tests/integration/test_combined.py | cma-open/cmatools | ce5743dca7c5bf1f6ab7fe3af24893a65d0c2db7 | [
"BSD-3-Clause"
] | null | null | null | """Test combined function."""
from cmatools.combine.combine import combined
def test_combined():
"""Test of combined function"""
assert combined() == "this hello cma"
| 17.9 | 45 | 0.692737 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 76 | 0.424581 |
dc002c294c966dc124207adcde546a050c2603e1 | 1,323 | py | Python | elastalert_modules/top_count_keys_enhancement.py | OpenCoreCH/elastalert | 28502d8e81e67649976a6a3d2ccc198a5dd60631 | [
"Apache-2.0"
] | null | null | null | elastalert_modules/top_count_keys_enhancement.py | OpenCoreCH/elastalert | 28502d8e81e67649976a6a3d2ccc198a5dd60631 | [
"Apache-2.0"
] | 1 | 2018-10-05T14:38:22.000Z | 2018-10-05T14:38:22.000Z | elastalert_modules/top_count_keys_enhancement.py | OpenCoreCH/elastalert | 28502d8e81e67649976a6a3d2ccc198a5dd60631 | [
"Apache-2.0"
] | 4 | 2018-10-05T12:11:42.000Z | 2022-01-31T10:31:26.000Z | """Enhancement to reformat `top_events_X`
from match in order to reformat and put it
back to be able to use in alert message.
New format:
top_events_keys_XXX -- contains array of corresponding key values defined in `top_count_keys`,
where `XXX` key from `top_count_keys` array.
top_events_values_XXX -- contains arra... | 31.5 | 94 | 0.675737 | 501 | 0.378685 | 0 | 0 | 0 | 0 | 0 | 0 | 839 | 0.634165 |
dc0041528fa6c63f72d3e18e309efd1fc5282e9f | 4,054 | py | Python | nets.py | koreyou/SWEM-chainer | 728443fb5fc53409648d8bff3ae3e545fb9ac36c | [
"MIT"
] | null | null | null | nets.py | koreyou/SWEM-chainer | 728443fb5fc53409648d8bff3ae3e545fb9ac36c | [
"MIT"
] | null | null | null | nets.py | koreyou/SWEM-chainer | 728443fb5fc53409648d8bff3ae3e545fb9ac36c | [
"MIT"
] | null | null | null | import numpy
import chainer
import chainer.functions as F
import chainer.links as L
from chainer import reporter
embed_init = chainer.initializers.Uniform(.25)
def block_embed(embed, x, dropout=0.):
"""Embedding function followed by convolution
Args:
embed (callable): A :func:`~chainer.functions.em... | 34.355932 | 88 | 0.620868 | 2,945 | 0.726443 | 0 | 0 | 0 | 0 | 0 | 0 | 1,668 | 0.411445 |
dc00b897bcfec50069749b3f13a2b807436fbaab | 904 | py | Python | src/entities/users.py | MillaKelhu/ohtu-lukuvinkkikirjasto | d195e53824bc5d13ded97112a8c388e05775666c | [
"MIT"
] | null | null | null | src/entities/users.py | MillaKelhu/ohtu-lukuvinkkikirjasto | d195e53824bc5d13ded97112a8c388e05775666c | [
"MIT"
] | null | null | null | src/entities/users.py | MillaKelhu/ohtu-lukuvinkkikirjasto | d195e53824bc5d13ded97112a8c388e05775666c | [
"MIT"
] | null | null | null | from flask_login import UserMixin
class Users(UserMixin):
# Luodaan näennäinen tietokanta käyttäjistä
user_database = {"kayttaja": ("kayttaja", "salasana"),
"tunnus": ("tunnus", "passu")}
def __init__(self, id, username, password):
self.id = id
self.username = username
self.pas... | 23.179487 | 60 | 0.634956 | 872 | 0.959296 | 0 | 0 | 343 | 0.377338 | 0 | 0 | 114 | 0.125413 |
dc00c9713e8a8c4632743cc1feb90632ddde0bf5 | 13,726 | py | Python | artifacts/kernel_db/autotvm_scripts/tune_tilling_dense_select_codegen.py | LittleQili/nnfusion | 6c1a25db5be459a1053798f1c75bfbd26863ed08 | [
"MIT"
] | null | null | null | artifacts/kernel_db/autotvm_scripts/tune_tilling_dense_select_codegen.py | LittleQili/nnfusion | 6c1a25db5be459a1053798f1c75bfbd26863ed08 | [
"MIT"
] | null | null | null | artifacts/kernel_db/autotvm_scripts/tune_tilling_dense_select_codegen.py | LittleQili/nnfusion | 6c1a25db5be459a1053798f1c75bfbd26863ed08 | [
"MIT"
] | 1 | 2021-08-11T09:09:53.000Z | 2021-08-11T09:09:53.000Z | """
matmul autotvm
[batch,in_dim] x [in_dim,out_dim]
search_matmul_config(batch,in_dim,out_dim,num_trials):
input: batch,in_dim,out_dim,num_trials
[batch,in_dim] x [in_dim,out_dim]
num_trials: num of trials, default: 1000
output: log (json format)
use autotvm to search configs for the matm... | 35.4677 | 159 | 0.633396 | 0 | 0 | 0 | 0 | 2,431 | 0.177109 | 0 | 0 | 3,245 | 0.236413 |
dc00d047f5d2f7ce7b721b7c45d3556d9ebe4b5d | 2,240 | py | Python | src/olympia/activity/admin.py | dante381/addons-server | 9702860a19ecca1cb4e4998f37bc43c1b2dd3aa7 | [
"BSD-3-Clause"
] | null | null | null | src/olympia/activity/admin.py | dante381/addons-server | 9702860a19ecca1cb4e4998f37bc43c1b2dd3aa7 | [
"BSD-3-Clause"
] | null | null | null | src/olympia/activity/admin.py | dante381/addons-server | 9702860a19ecca1cb4e4998f37bc43c1b2dd3aa7 | [
"BSD-3-Clause"
] | null | null | null | from django.contrib import admin
from .models import ActivityLog, ReviewActionReasonLog
from olympia.reviewers.models import ReviewActionReason
class ActivityLogAdmin(admin.ModelAdmin):
list_display = (
'created',
'user',
'__str__',
)
raw_id_fields = ('user',)
readonly_fields ... | 26.666667 | 87 | 0.634821 | 1,965 | 0.877232 | 0 | 0 | 0 | 0 | 0 | 0 | 372 | 0.166071 |
dc01dc4bc345b863361dbfcbff2946a74c676b49 | 1,261 | py | Python | modules/nmap_script/address_info.py | naimkowshik/reyna-eye | f729ec964e586ae3f63ff29fd524f7aed3748a74 | [
"MIT"
] | 4 | 2021-04-22T19:19:13.000Z | 2022-02-10T09:26:58.000Z | modules/nmap_script/address_info.py | naimkowshik/reyna-eye | f729ec964e586ae3f63ff29fd524f7aed3748a74 | [
"MIT"
] | null | null | null | modules/nmap_script/address_info.py | naimkowshik/reyna-eye | f729ec964e586ae3f63ff29fd524f7aed3748a74 | [
"MIT"
] | 1 | 2022-02-03T19:29:46.000Z | 2022-02-03T19:29:46.000Z | import subprocess
import sys
import time
import os
#############################
# COLORING YOUR SHELL #
#############################
R = "\033[1;31m" #
B = "\033[1;34m" #
Y = "\033[1;33m" #
G = "\033[1;32m" #
RS = "\033[0m" #
W = "\033[1;37m" ... | 32.333333 | 120 | 0.57732 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 949 | 0.743148 |
dc022c593385d4751afcdb05a041b275d5e72149 | 2,041 | py | Python | tests/utilities/test_upgrade_checkpoint.py | cuent/pytorch-lightning | b50ad528e69618d831aa01ee69f29b4f2a6a3e84 | [
"Apache-2.0"
] | null | null | null | tests/utilities/test_upgrade_checkpoint.py | cuent/pytorch-lightning | b50ad528e69618d831aa01ee69f29b4f2a6a3e84 | [
"Apache-2.0"
] | null | null | null | tests/utilities/test_upgrade_checkpoint.py | cuent/pytorch-lightning | b50ad528e69618d831aa01ee69f29b4f2a6a3e84 | [
"Apache-2.0"
] | null | null | null | # Copyright The PyTorch Lightning team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | 40.82 | 110 | 0.677609 | 0 | 0 | 0 | 0 | 1,265 | 0.619794 | 0 | 0 | 1,065 | 0.521803 |
dc02390fc5cc8acb642fb9142268442719d14ed1 | 4,258 | py | Python | rnn/train_rnn_oneflow.py | XinYangDong/models | ea1ab12add5812c8a3e14ecfad6b39fa56a779a9 | [
"Apache-2.0"
] | null | null | null | rnn/train_rnn_oneflow.py | XinYangDong/models | ea1ab12add5812c8a3e14ecfad6b39fa56a779a9 | [
"Apache-2.0"
] | null | null | null | rnn/train_rnn_oneflow.py | XinYangDong/models | ea1ab12add5812c8a3e14ecfad6b39fa56a779a9 | [
"Apache-2.0"
] | null | null | null | import oneflow.experimental as flow
from oneflow.experimental import optim
import oneflow.experimental.nn as nn
from utils.dataset import *
from utils.tensor_utils import *
from models.rnn_model import RNN
import argparse
import time
import math
import numpy as np
flow.env.init()
flow.enable_eager_execution()
def ... | 30.198582 | 113 | 0.615782 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 606 | 0.14212 |
dc0343ffb97fa10db053e01b9eed2a7adc7c042b | 4,763 | py | Python | metaflow/datastore/local_storage.py | RobBlumberg/metaflow | 9f737e6026eee250c1593a2cb1d1c4b19a00adf4 | [
"Apache-2.0"
] | 2 | 2020-03-05T08:33:05.000Z | 2021-05-31T12:54:40.000Z | metaflow/datastore/local_storage.py | RobBlumberg/metaflow | 9f737e6026eee250c1593a2cb1d1c4b19a00adf4 | [
"Apache-2.0"
] | 5 | 2021-12-12T21:04:10.000Z | 2022-01-22T21:05:58.000Z | metaflow/datastore/local_storage.py | RobBlumberg/metaflow | 9f737e6026eee250c1593a2cb1d1c4b19a00adf4 | [
"Apache-2.0"
] | 2 | 2020-04-18T22:45:03.000Z | 2020-06-25T14:36:20.000Z | import json
import os
from ..metaflow_config import DATASTORE_LOCAL_DIR, DATASTORE_SYSROOT_LOCAL
from .datastore_storage import CloseAfterUse, DataStoreStorage
from .exceptions import DataException
class LocalStorage(DataStoreStorage):
TYPE = "local"
METADATA_DIR = "_meta"
@classmethod
def get_datas... | 34.766423 | 88 | 0.515431 | 4,561 | 0.95759 | 563 | 0.118203 | 1,667 | 0.34999 | 0 | 0 | 233 | 0.048919 |
dc03c7056424871c088a27b25411021c5ef255a8 | 669 | py | Python | src/Models/tools/quality.py | rahlk/MOOSE | e45b64cf625bb90aa8c1c24ab1c8f52ab485a316 | [
"MIT"
] | null | null | null | src/Models/tools/quality.py | rahlk/MOOSE | e45b64cf625bb90aa8c1c24ab1c8f52ab485a316 | [
"MIT"
] | 9 | 2015-09-14T21:07:06.000Z | 2015-12-08T01:38:08.000Z | src/Models/tools/quality.py | rahlk/MAPGen | 25bc1a84f07e30ab0dbb638cd2aa1ce416c510ff | [
"MIT"
] | null | null | null | from __future__ import division, print_function
from scipy.spatial.distance import euclidean
from numpy import mean
from pdb import set_trace
class measure:
def __init__(self,model):
self.mdl = model
def convergence(self, obtained):
"""
Calculate the convergence metric with respect to ideal
soluti... | 30.409091 | 76 | 0.693572 | 526 | 0.786248 | 0 | 0 | 0 | 0 | 0 | 0 | 163 | 0.243647 |
dc0442493abb70d64838a4469e6b402804bec72d | 2,499 | py | Python | script/spider/www_chinapoesy_com.py | gitter-badger/poetry-1 | faf50558852d5d37d4fee68a8c5a114aba149689 | [
"MIT"
] | 1 | 2021-08-03T03:07:41.000Z | 2021-08-03T03:07:41.000Z | script/spider/www_chinapoesy_com.py | gitter-badger/poetry-1 | faf50558852d5d37d4fee68a8c5a114aba149689 | [
"MIT"
] | null | null | null | script/spider/www_chinapoesy_com.py | gitter-badger/poetry-1 | faf50558852d5d37d4fee68a8c5a114aba149689 | [
"MIT"
] | null | null | null |
'''
pip3 install BeautifulSoup4
pip3 install pypinyin
'''
import requests
import re
import os
import shutil
from bs4 import BeautifulSoup
from util import Profile, write_poem
def parse_poem_profile_td(td):
container = td.find('div')
if container is None:
container = td
title_a = contain... | 25.5 | 77 | 0.609444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 612 | 0.239906 |
dc05bab78000f85994987b7714d00eddf5ea82d2 | 439 | py | Python | design-patterns-101/Animal.py | stealthanthrax/python-design-patterns | 100884e1c5fe0fedaa0f1afa978ae79e53878f6b | [
"MIT"
] | null | null | null | design-patterns-101/Animal.py | stealthanthrax/python-design-patterns | 100884e1c5fe0fedaa0f1afa978ae79e53878f6b | [
"MIT"
] | 4 | 2020-10-01T15:56:00.000Z | 2020-10-08T12:34:17.000Z | design-patterns-101/Animal.py | stealthanthrax/python-design-patterns | 100884e1c5fe0fedaa0f1afa978ae79e53878f6b | [
"MIT"
] | 2 | 2020-10-02T06:50:34.000Z | 2020-10-02T10:17:25.000Z | class Animal:
def __init__(self):
self.name = ""
self.weight = 0
self.sound = ""
def setName(self, name):
self.name = name
def getName(self):
return self.name
def setWeight(self, weight):
self.weight = weight
def getWeight(self):
return sel... | 18.291667 | 32 | 0.560364 | 438 | 0.997722 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0.009112 |
dc06b7c456a20378a588b26699aae0b601ae716d | 5,086 | py | Python | tests/test_events.py | hhtong/dwave-cloud-client | 45e4d1d4f187b10495e38d47478f2c8d87514434 | [
"Apache-2.0"
] | null | null | null | tests/test_events.py | hhtong/dwave-cloud-client | 45e4d1d4f187b10495e38d47478f2c8d87514434 | [
"Apache-2.0"
] | null | null | null | tests/test_events.py | hhtong/dwave-cloud-client | 45e4d1d4f187b10495e38d47478f2c8d87514434 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 D-Wave Systems Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | 34.835616 | 87 | 0.592411 | 4,365 | 0.858238 | 0 | 0 | 0 | 0 | 0 | 0 | 1,972 | 0.387731 |
dc06e2ba70d0080f14386cfea2dd13fc3ab64b71 | 12,084 | py | Python | ex3_nn_TF2.py | Melykuti/Ng_Machine_learning_exercises | c561190ee2705b6af9432323d7639f6655c973e5 | [
"BSD-3-Clause"
] | 3 | 2020-03-06T19:15:28.000Z | 2020-03-09T10:29:38.000Z | ex3_nn_TF2.py | Melykuti/Ng_Machine_learning_exercises | c561190ee2705b6af9432323d7639f6655c973e5 | [
"BSD-3-Clause"
] | null | null | null | ex3_nn_TF2.py | Melykuti/Ng_Machine_learning_exercises | c561190ee2705b6af9432323d7639f6655c973e5 | [
"BSD-3-Clause"
] | null | null | null | '''
Neural networks. Forward propagation in an already trained network in TensorFlow 2.0-2.1 (to use the network for classification).
TF 2.0:
Option 0 takes 0.08 sec.
Option 1 takes 0.08 sec.
Option 6 takes 0.08 sec.
Option 2 takes 4.7 sec.
Option 3 takes 1.6 sec.
Option 4 takes 5.2 sec.
Option 5 takes 0.08 sec.
Optio... | 48.923077 | 347 | 0.70043 | 763 | 0.063131 | 0 | 0 | 1,223 | 0.101191 | 0 | 0 | 7,636 | 0.631805 |