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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
cd8d8365ca2301a760424dae1ee2e706688adc1f
| 9,678 |
py
|
Python
|
main/views.py
|
QingShuiXiFan/Style-Transfer
|
f79951323cdfd0c72f2157623209d9067376306b
|
[
"Apache-2.0"
] | null | null | null |
main/views.py
|
QingShuiXiFan/Style-Transfer
|
f79951323cdfd0c72f2157623209d9067376306b
|
[
"Apache-2.0"
] | null | null | null |
main/views.py
|
QingShuiXiFan/Style-Transfer
|
f79951323cdfd0c72f2157623209d9067376306b
|
[
"Apache-2.0"
] | null | null | null |
from django.shortcuts import render, render_to_response, redirect
from django.http import HttpResponse, HttpResponseRedirect, JsonResponse, FileResponse
from django.urls import reverse
import os
from django.contrib.auth import authenticate, login, logout #
from django.contrib import auth
from django.template import RequestContext
from .forms import LoginForm, RegistrationForm
from django.contrib.auth.models import User
import hashlib # python
from django.contrib.auth.hashers import make_password, check_password # Django
from django.core.mail import send_mail
import imghdr #
import time, datetime
from django.conf import settings
from .models import Pictures
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
STATIC_DIR = "common_static"
GPU_ISACTIVATED = True
# Create your views here.
# ip
#
#
#
| 36.247191 | 198 | 0.615726 |
cd8e00f631a120690eef589a528899913c4b3443
| 781 |
py
|
Python
|
edj/Spot_square.py
|
CircuitLaunch/Spot_Bootcamp
|
47735ce474a59c5478099f6095b68c46b77d3da6
|
[
"BSD-3-Clause"
] | null | null | null |
edj/Spot_square.py
|
CircuitLaunch/Spot_Bootcamp
|
47735ce474a59c5478099f6095b68c46b77d3da6
|
[
"BSD-3-Clause"
] | null | null | null |
edj/Spot_square.py
|
CircuitLaunch/Spot_Bootcamp
|
47735ce474a59c5478099f6095b68c46b77d3da6
|
[
"BSD-3-Clause"
] | null | null | null |
#!/usr/bin/env python3
from Spot import *
import time
from bosdyn.client import math_helpers
if __name__ == '__main__':
spot = Spot()
try:
# It's ALIVE!
spot.power_on()
spot.move_to(1.0, 0.0, 0.0, math_helpers.Quat(), duration=5.0)
time.sleep(5.0)
spot.move_to(0.0, 1.0, 0.0, math_helpers.Quat(), duration=5.0)
time.sleep(5.0)
spot.move_to(-1.0, 0.0, 0.0, math_helpers.Quat(), duration=5.0)
time.sleep(5.0)
spot.move_to(0.0, -1.0, 0.0, math_helpers.Quat(), duration=5.0)
time.sleep(5.0)
# Power down
spot.estop(graceful=True)
except:
print('Exception')
print('Trying to make Python GC the Spot object')
spot = None
time.sleep(5.0)
exit(0)
| 21.694444 | 71 | 0.577465 |
cd8f015fd57b190763452236dbe2f747d3309b7f
| 837 |
py
|
Python
|
tests/test_set.py
|
maxslarsson/tennis-probability
|
f26021b305e2b8abd87acad846454f7ce02e9199
|
[
"MIT"
] | null | null | null |
tests/test_set.py
|
maxslarsson/tennis-probability
|
f26021b305e2b8abd87acad846454f7ce02e9199
|
[
"MIT"
] | null | null | null |
tests/test_set.py
|
maxslarsson/tennis-probability
|
f26021b305e2b8abd87acad846454f7ce02e9199
|
[
"MIT"
] | null | null | null |
import pytest
from tennis_probability import set, InvalidInput, InvalidProbability, NegativeNumber
| 27.9 | 84 | 0.628435 |
cd90fb8f4961d4f54d2eb80fcec8b04e412e1af3
| 626 |
py
|
Python
|
sources/classic/messaging_kombu/handlers.py
|
variasov/classic_messaging_kombu
|
c4191f3d1f788a39f50dc137eca1b67f3ee2af20
|
[
"MIT"
] | 1 |
2021-11-12T08:19:53.000Z
|
2021-11-12T08:19:53.000Z
|
sources/classic/messaging_kombu/handlers.py
|
variasov/classic_messaging_kombu
|
c4191f3d1f788a39f50dc137eca1b67f3ee2af20
|
[
"MIT"
] | null | null | null |
sources/classic/messaging_kombu/handlers.py
|
variasov/classic_messaging_kombu
|
c4191f3d1f788a39f50dc137eca1b67f3ee2af20
|
[
"MIT"
] | null | null | null |
from abc import ABC, abstractmethod
from typing import Dict, Any, Callable
from kombu import Message
from classic.components import component
MessageBody = Dict[str, Any]
| 18.969697 | 58 | 0.680511 |
cd937e31435e325df9a3ac8d8fa5487807539935
| 1,440 |
py
|
Python
|
byceps/services/shop/order/event_service.py
|
GSH-LAN/byceps
|
ab8918634e90aaa8574bd1bb85627759cef122fe
|
[
"BSD-3-Clause"
] | 33 |
2018-01-16T02:04:51.000Z
|
2022-03-22T22:57:29.000Z
|
byceps/services/shop/order/event_service.py
|
GSH-LAN/byceps
|
ab8918634e90aaa8574bd1bb85627759cef122fe
|
[
"BSD-3-Clause"
] | 7 |
2019-06-16T22:02:03.000Z
|
2021-10-02T13:45:31.000Z
|
byceps/services/shop/order/event_service.py
|
GSH-LAN/byceps
|
ab8918634e90aaa8574bd1bb85627759cef122fe
|
[
"BSD-3-Clause"
] | 14 |
2019-06-01T21:39:24.000Z
|
2022-03-14T17:56:43.000Z
|
"""
byceps.services.shop.order.event_service
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
:Copyright: 2006-2021 Jochen Kupperschmidt
:License: Revised BSD (see `LICENSE` file for details)
"""
from __future__ import annotations
from datetime import datetime
from typing import Sequence
from ....database import db
from .dbmodels.order_event import OrderEvent as DbOrderEvent, OrderEventData
from .transfer.models import OrderID
def create_event(
event_type: str, order_id: OrderID, data: OrderEventData
) -> None:
"""Create an order event."""
event = build_event(event_type, order_id, data)
db.session.add(event)
db.session.commit()
def create_events(
event_type: str, order_id: OrderID, datas: Sequence[OrderEventData]
) -> None:
"""Create a sequence of order events."""
events = [build_event(event_type, order_id, data) for data in datas]
db.session.add_all(events)
db.session.commit()
def build_event(
event_type: str, order_id: OrderID, data: OrderEventData
) -> DbOrderEvent:
"""Assemble, but not persist, an order event."""
now = datetime.utcnow()
return DbOrderEvent(now, event_type, order_id, data)
def get_events_for_order(order_id: OrderID) -> list[DbOrderEvent]:
"""Return the events for that order."""
return db.session \
.query(DbOrderEvent) \
.filter_by(order_id=order_id) \
.order_by(DbOrderEvent.occurred_at) \
.all()
| 26.181818 | 76 | 0.690972 |
cd95b58b744f084920dc507989ebf490290a8ec2
| 637 |
py
|
Python
|
app/models/columns/suit.py
|
abcnever/euchre-game
|
5446e345e0dfdcf83d5fe87c3d2cedc31b3ae669
|
[
"MIT"
] | 1 |
2018-12-31T05:38:56.000Z
|
2018-12-31T05:38:56.000Z
|
app/models/columns/suit.py
|
abcnever/euchre-game
|
5446e345e0dfdcf83d5fe87c3d2cedc31b3ae669
|
[
"MIT"
] | 4 |
2018-11-03T15:51:13.000Z
|
2019-01-12T21:09:23.000Z
|
app/models/columns/suit.py
|
abcnever/euchre-game
|
5446e345e0dfdcf83d5fe87c3d2cedc31b3ae669
|
[
"MIT"
] | null | null | null |
from attr import attrs, attrib
import enum
from .enum import EnumColumn
| 21.233333 | 40 | 0.486656 |
cd977d3ad4e8e4d9141853e4e08a51d0ffa0f771
| 1,881 |
py
|
Python
|
dataset.py
|
sreza1/Diabetic-Retinopathy-Detection
|
75f10423ef161d3040756253a8ba0b9012e391b7
|
[
"MIT"
] | null | null | null |
dataset.py
|
sreza1/Diabetic-Retinopathy-Detection
|
75f10423ef161d3040756253a8ba0b9012e391b7
|
[
"MIT"
] | null | null | null |
dataset.py
|
sreza1/Diabetic-Retinopathy-Detection
|
75f10423ef161d3040756253a8ba0b9012e391b7
|
[
"MIT"
] | null | null | null |
import config
import os
import pandas as pd
import numpy as np
from torch.utils.data import Dataset, DataLoader
from PIL import Image
from tqdm import tqdm
if __name__ == "__main__":
"""
Test if everything works ok
"""
dataset = DRDataset(
images_folder="/data/images_resized_650",
path_to_csv="/data/trainLabels.csv",
transform = config.val_transforms
)
loader = DataLoader(
dataset=dataset, batch_size=32, num_workers=6, shuffle=True, pin_memory=True
)
for x, label, file in tqdm(loader):
print(x.shape)
print(label.shape)
import sys
sys.exit
| 29.857143 | 84 | 0.617757 |
cd988eff24525966178311b4c694188e2f3b5038
| 507 |
py
|
Python
|
server/server.py
|
Filipos27/Celebrity_classification
|
802474516b9ecaee70c4019600572bbbbd8b582a
|
[
"MIT"
] | null | null | null |
server/server.py
|
Filipos27/Celebrity_classification
|
802474516b9ecaee70c4019600572bbbbd8b582a
|
[
"MIT"
] | null | null | null |
server/server.py
|
Filipos27/Celebrity_classification
|
802474516b9ecaee70c4019600572bbbbd8b582a
|
[
"MIT"
] | null | null | null |
from flask import Flask, request, jsonify
import util
app= Flask(__name__)
if __name__ == "__main__":
print("Starting Python Flask Server For Celebrity Image Classification")
util.load_saved_artifacts()
app.run(port=5000)
| 28.166667 | 77 | 0.710059 |
cd99a356df7305e9c0faf645726124d17a3abcde
| 41 |
py
|
Python
|
app.py
|
blogsley/blogsley-flask-site
|
40df6641cce8336d790549b7edac4f83d8b8fb8e
|
[
"MIT"
] | 1 |
2020-12-18T03:52:25.000Z
|
2020-12-18T03:52:25.000Z
|
app.py
|
blogsley/blogsley-flask-site
|
40df6641cce8336d790549b7edac4f83d8b8fb8e
|
[
"MIT"
] | 3 |
2020-05-04T07:46:54.000Z
|
2022-02-10T19:39:19.000Z
|
app.py
|
blogsley/blogsley-flask-site
|
40df6641cce8336d790549b7edac4f83d8b8fb8e
|
[
"MIT"
] | null | null | null |
from blogsley_site.app import create_app
| 20.5 | 40 | 0.878049 |
cd9a0d84b5dfdc848833f7aaab7d4b2009ed8946
| 421 |
py
|
Python
|
awards/migrations/0003_project_project_photo.py
|
kimutaiamos/Gold-Awwards
|
1bf12cf0cdbf250251664f067c5397160fa5ed41
|
[
"MIT"
] | null | null | null |
awards/migrations/0003_project_project_photo.py
|
kimutaiamos/Gold-Awwards
|
1bf12cf0cdbf250251664f067c5397160fa5ed41
|
[
"MIT"
] | null | null | null |
awards/migrations/0003_project_project_photo.py
|
kimutaiamos/Gold-Awwards
|
1bf12cf0cdbf250251664f067c5397160fa5ed41
|
[
"MIT"
] | null | null | null |
# Generated by Django 3.2 on 2021-12-12 18:38
from django.db import migrations, models
| 22.157895 | 79 | 0.615202 |
cd9a1323c7a15a9388bdc8532ce60de3beb414fa
| 7,827 |
py
|
Python
|
tests/e2e/performance/csi_tests/test_pvc_bulk_clone_performance.py
|
annagitel/ocs-ci
|
284fe04aeb6e3d6cb70c99e65fec8ff1b1ea1dd5
|
[
"MIT"
] | 1 |
2021-03-12T09:01:36.000Z
|
2021-03-12T09:01:36.000Z
|
tests/e2e/performance/csi_tests/test_pvc_bulk_clone_performance.py
|
annagitel/ocs-ci
|
284fe04aeb6e3d6cb70c99e65fec8ff1b1ea1dd5
|
[
"MIT"
] | 1 |
2021-08-30T20:06:00.000Z
|
2021-09-30T20:05:46.000Z
|
tests/e2e/performance/csi_tests/test_pvc_bulk_clone_performance.py
|
annagitel/ocs-ci
|
284fe04aeb6e3d6cb70c99e65fec8ff1b1ea1dd5
|
[
"MIT"
] | null | null | null |
"""
Test to measure pvc scale creation time. Total pvc count would be 50, 1 clone per PVC
Total number of clones in bulk will be 50
"""
import logging
import pytest
from ocs_ci.utility import utils
from ocs_ci.ocs.perftests import PASTest
from ocs_ci.framework.testlib import performance
from ocs_ci.helpers import helpers, performance_lib
from ocs_ci.ocs import constants, scale_lib
from ocs_ci.ocs.resources import pvc, pod
from ocs_ci.ocs.resources.objectconfigfile import ObjectConfFile
log = logging.getLogger(__name__)
| 38.747525 | 118 | 0.614028 |
269506ce70f1d96fec0d9578b84d16a8d1ec4d2d
| 72 |
py
|
Python
|
back/app/models/__init__.py
|
davidroeca/simple_graphql
|
a6b2b20b6458b6b2fa9363a542015ab42761bd98
|
[
"MIT"
] | null | null | null |
back/app/models/__init__.py
|
davidroeca/simple_graphql
|
a6b2b20b6458b6b2fa9363a542015ab42761bd98
|
[
"MIT"
] | null | null | null |
back/app/models/__init__.py
|
davidroeca/simple_graphql
|
a6b2b20b6458b6b2fa9363a542015ab42761bd98
|
[
"MIT"
] | null | null | null |
from .database import db
from .user import User
from .post import Post
| 14.4 | 24 | 0.777778 |
269573fa22001d4ea70efb720d1a7ce5724057f7
| 3,520 |
py
|
Python
|
tools/noise_reduction.py
|
8igfive/MyASR
|
565267d9df4b56cfad5107632146aab8150a962d
|
[
"MIT"
] | null | null | null |
tools/noise_reduction.py
|
8igfive/MyASR
|
565267d9df4b56cfad5107632146aab8150a962d
|
[
"MIT"
] | null | null | null |
tools/noise_reduction.py
|
8igfive/MyASR
|
565267d9df4b56cfad5107632146aab8150a962d
|
[
"MIT"
] | null | null | null |
import argparse
from genericpath import exists
import os
import time
import re
from tqdm import tqdm
import numpy as np
from scipy.io import wavfile
from wiener_scalart import wienerScalart
TIME = time.strftime("%Y-%m-%d_%H:%M:%S", time.localtime())
CURRENT_DIR = os.path.dirname(os.path.abspath(__file__))
WORKPLACE_DIR = os.path.dirname(CURRENT_DIR)
DUMP_DIR = os.path.join(WORKPLACE_DIR, os.path.join('dump', TIME))
DUMP_FEAT = 'feat_{}.scp'.format(TIME)
DUMP_TEXT = 'text_{}'.format(TIME)
FEAT_FORMAT = r'\s?(.+?)\s+(.+?\.wav)'
intMap = {np.dtype('int8') : (0x7f, -0x80),
np.dtype('int16') : (0x7fff, -0x8000),
np.dtype('int32') : (0x7fffffff, -0x8000000),
np.dtype('int64') : (0x7fffffffffffffff, -0x8000000000000000)}
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('-f', '--feat', type=str, default=None, help='feat file path')
parser.add_argument('-t', '--text', type=str, default=None, help='text file path')
parser.add_argument('-dd', '--dumpDir', type=str, default=DUMP_DIR, help='the directory where holds new .wav files')
parser.add_argument('-df', '--dumpFeat', type=str, default=os.path.join(DUMP_DIR, DUMP_FEAT), help='dump feat file path')
parser.add_argument('-dt', '--dumpText', type=str, default=os.path.join(DUMP_DIR, DUMP_TEXT), help='dump text file path')
parser.add_argument('-n', '--noiseLength', type=float, default=0.25, help='the noise time length at the beggining of the audio')
parser.add_argument('-db', '--debug', action='store_true', help='print debug message')
args = parser.parse_args()
main(args)
| 40.930233 | 132 | 0.65142 |
2696d944b45b7b26bd7dbbe253779f41871a415a
| 7,779 |
py
|
Python
|
islandGen.py
|
Popcorn05/IslandGen
|
a06821c1db8f33befb1fb3db32fd2e18d323a23a
|
[
"MIT"
] | null | null | null |
islandGen.py
|
Popcorn05/IslandGen
|
a06821c1db8f33befb1fb3db32fd2e18d323a23a
|
[
"MIT"
] | null | null | null |
islandGen.py
|
Popcorn05/IslandGen
|
a06821c1db8f33befb1fb3db32fd2e18d323a23a
|
[
"MIT"
] | null | null | null |
#Import libraries
import random
import os
import noise
import numpy
import math
import sys
from chunks import Chunks as chk
from PIL import Image
import subprocess
from scipy.misc import toimage
import threading
random.seed(os.urandom(6))
#Delete old chunks
filelist = [ f for f in os.listdir("world/") if f.endswith(".chunk") ] #Delete previous world files
for f in filelist:
os.remove(os.path.join("world/", f))
#Functions
#Colours
dwaterCol = [54, 137, 245]
waterCol = [67, 146, 245]
dsandCol = [224, 214, 164]
sandCol = [247, 232, 176]
rockCol = [209, 209, 209]
grassCol = [37, 170, 77]
dgrassCol = [34, 161, 63]
treeCol = [10, 122, 42]
mountCol = [74, 62, 36]
mountRockCol = [56, 48, 30]
snowCol = [245, 254, 255]
#Control Variables
a = sys.argv
if len(a) > 1:
gridSize = int(a[1])
scale = float(a[2])
octaves = int(a[3])
persistance = float(a[4])
lacunarity = float(a[5])
thres = float(a[6])
else:
gridSize = 1024 #Side length
scale = 250.0
octaves = 6
persistance = 0.5
lacunarity = 2.0
thres = 0.08
#Generate base noise, Apply gradient
im = Image.open("gradient/circle_grad.png")
circle_grad = im.convert("L")
main = numpy.zeros((gridSize,gridSize)) #Init arrays
mainNoise = numpy.zeros_like(main)
seed = random.randint(0,200) #Gen seed
for y in range(gridSize):
for x in range(gridSize):
main[y][x] = noise.pnoise2(y/scale,x/scale,octaves=octaves,persistence=persistance,lacunarity=lacunarity,repeatx=gridSize,repeaty=gridSize,base=seed) #Set noise
mainNoise[y][x] = (main[y][x] * mapVal(circle_grad.getpixel((round((1024/gridSize)*x),round((1024/gridSize)*y))), 0, 255, -0.05, 1)) #Apply gradient to noise
if mainNoise[y][x] > 0:
mainNoise[y][x] *= 20 #Amplify
max_grad = numpy.max(mainNoise)
mainNoise = mainNoise / max_grad #Weird even out math thing
#Lay base
display = numpy.zeros((gridSize//16,gridSize//16)+(16,16)+(3,))
processed = numpy.zeros((gridSize//16,gridSize//16), dtype=bool)
passOver = numpy.zeros((gridSize//16,gridSize//16), dtype=bool)
import time
start = time.time()
for cy in range(gridSize//16):
for cx in range(gridSize//16):
print(str(cy) + " " + str(cx))
if processed[cy][cx] == False:
processed[cy][cx] = True
for y in range(16):
for x in range(16):
m = mainNoise[y + (16*cy)][x + (16*cx)] #Set iterator to value of main array and check if meets certain thresholds to set colours
if m < thres + 0.015:
m = dwaterCol
elif m < thres + 0.11:
m = waterCol
elif m < thres + 0.12:
m = dsandCol
passOver[cy][cx] = True
elif m < thres + 0.15:
m = sandCol
passOver[cy][cx] = True
elif m < thres + 0.28:
m = grassCol
passOver[cy][cx] = True
elif m < thres + 0.46:
m = dgrassCol
passOver[cy][cx] = True
elif m < thres + 0.78:
m = mountCol
passOver[cy][cx] = True
elif m < thres + 1.0:
m = snowCol
passOver[cy][cx] = True
display[cy][cx][y][x] = m
#Second pass (Natural features)
featSeed = random.randint(0,100) #Generate seed
for cy in range(gridSize//16):
for cx in range(gridSize//16):
if passOver[cy][cx] == True:
for y in range(16):
for x in range(16):
m = display[cy][cx][y][x]
p = noise.pnoise2((y + (cy * 16))/(scale/2.5),(x + (cx * 16))/(scale/2.5),octaves=10,persistence=0.55,lacunarity=1.55,repeatx=gridSize,repeaty=gridSize,base=featSeed) #Get pond noise
if all(m == grassCol) or all(m == dsandCol) or all(m == sandCol): #If light grass or beach generate pond
if p > 0.17:
if p < 0.25:
m = sandCol
elif p < 1.0:
m = waterCol
display[cy][cx][y][x] = m
#Third pass (Structures)
structScale = int(scale // 200)
for cy in range(gridSize//16):
for cx in range(gridSize//16):
if passOver[cy][cx] == True:
for y in range(16):
for x in range(16): #Place rocks on beach and mountnain
m = display[cy][cx][y][x]
if all(m == sandCol):
if percentChance(2) == True:
addRock(display,cx,cy,x,y,structScale,rockCol)
elif all(m == grassCol):
if percentChance(5) == True:
addTree(display,cx,cy,x,y,structScale)
elif all(m == dgrassCol):
if percentChance(20) == True:
addTree(display,cx,cy,x,y,structScale)
elif all(m == mountCol):
if percentChance(0.01) == True:
addRock(display,cx,cy,x,y,structScale,mountRockCol)
#Save
for cy in range(gridSize//16):
for cx in range(gridSize//16):
chk.writeChunk(cx,cy,display)
#Display
toimage(chk.readChunkArray(gridSize,display)).show()
| 33.530172 | 202 | 0.549556 |
26978b08939270913183c7dd0c609cfa2e52874f
| 4,363 |
py
|
Python
|
reagent/gym/tests/test_gym_replay_buffer.py
|
dmitryvinn/ReAgent
|
f98825b9d021ec353a1f9087840a05fea259bf42
|
[
"BSD-3-Clause"
] | 1,156 |
2019-10-02T12:15:31.000Z
|
2022-03-31T16:01:27.000Z
|
reagent/gym/tests/test_gym_replay_buffer.py
|
dmitryvinn/ReAgent
|
f98825b9d021ec353a1f9087840a05fea259bf42
|
[
"BSD-3-Clause"
] | 448 |
2019-10-03T13:40:52.000Z
|
2022-03-28T07:49:15.000Z
|
reagent/gym/tests/test_gym_replay_buffer.py
|
dmitryvinn/ReAgent
|
f98825b9d021ec353a1f9087840a05fea259bf42
|
[
"BSD-3-Clause"
] | 214 |
2019-10-13T13:28:33.000Z
|
2022-03-24T04:11:52.000Z
|
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
import logging
import numpy.testing as npt
from reagent.core.parameters import ProblemDomain
from reagent.gym.envs import Gym
from reagent.gym.envs.wrappers.simple_minigrid import SimpleObsWrapper
from reagent.gym.utils import create_df_from_replay_buffer
from reagent.preprocessing.sparse_to_dense import PythonSparseToDenseProcessor
from reagent.test.base.horizon_test_base import HorizonTestBase
logger = logging.getLogger(__name__)
| 33.821705 | 86 | 0.60165 |
269836dc4bbab3746b4c28419c5eabb4308cb54c
| 37 |
py
|
Python
|
parser/__init__.py
|
jbudis/dante
|
90177c33825d5f9ce3fba5463092fbcf20b72fe2
|
[
"Apache-2.0"
] | 4 |
2018-09-28T14:50:47.000Z
|
2021-08-09T12:46:12.000Z
|
parser/__init__.py
|
jbudis/dante
|
90177c33825d5f9ce3fba5463092fbcf20b72fe2
|
[
"Apache-2.0"
] | 6 |
2019-01-02T13:08:31.000Z
|
2021-03-25T21:45:40.000Z
|
parser/__init__.py
|
jbudis/dante
|
90177c33825d5f9ce3fba5463092fbcf20b72fe2
|
[
"Apache-2.0"
] | 1 |
2017-12-12T10:38:26.000Z
|
2017-12-12T10:38:26.000Z
|
from parser.readfile import ReadFile
| 18.5 | 36 | 0.864865 |
2698d48d436f6968997ba06d73587a502b5f3874
| 535 |
py
|
Python
|
main.py
|
Cynicism-lab/hhu-daily-health-common
|
1959beee61f2895166ac0be92b5817cbe278ef51
|
[
"MIT"
] | 14 |
2021-02-03T14:38:15.000Z
|
2022-02-05T08:48:41.000Z
|
main.py
|
zhang-zimin/nanwenguidaka
|
e426ecee8758d70b20cf2a77dc87a6f949196927
|
[
"MIT"
] | 4 |
2021-04-15T15:14:29.000Z
|
2022-03-15T02:29:04.000Z
|
main.py
|
zhang-zimin/nanwenguidaka
|
e426ecee8758d70b20cf2a77dc87a6f949196927
|
[
"MIT"
] | 52 |
2021-02-03T14:38:17.000Z
|
2022-03-29T09:19:12.000Z
|
#!/usr/bin/env python
# coding: utf-8
# In[1]:
import requests
from datetime import timezone
from datetime import timedelta
from datetime import datetime
import hhu
import os
# In[2]:
utc_time = datetime.utcnow().replace(tzinfo=timezone.utc)
sh_tz = timezone(timedelta(hours=8),name='Asia/Shanghai')
beijing_now = utc_time.astimezone(sh_tz)
datestr = datetime.strftime(beijing_now,'%F')
timestr = datetime.strftime(beijing_now,'%H:%M:%S')
year = datestr[0:4]
month = datestr[5:7]
day = datestr[8:10]
time = timestr
hhu.hhu()
| 17.258065 | 57 | 0.736449 |
269a18ede77adaabe0e01c16057d910f3519fa89
| 30,573 |
py
|
Python
|
depparse.py
|
viadee/eric
|
680508cc5bf2d322638c6cf2c466a06c3c1f33d4
|
[
"BSD-3-Clause-Clear",
"Apache-2.0",
"CC0-1.0",
"BSD-3-Clause"
] | 4 |
2020-04-07T07:05:02.000Z
|
2020-09-23T14:23:16.000Z
|
depparse.py
|
viadee/eric
|
680508cc5bf2d322638c6cf2c466a06c3c1f33d4
|
[
"BSD-3-Clause-Clear",
"Apache-2.0",
"CC0-1.0",
"BSD-3-Clause"
] | null | null | null |
depparse.py
|
viadee/eric
|
680508cc5bf2d322638c6cf2c466a06c3c1f33d4
|
[
"BSD-3-Clause-Clear",
"Apache-2.0",
"CC0-1.0",
"BSD-3-Clause"
] | 1 |
2021-12-27T03:00:44.000Z
|
2021-12-27T03:00:44.000Z
|
import pickle
import stanza
import test_stuff
from datetime import datetime
from dictionary import cd, dictionary, nlp_dictionary, ph_outcome, ph_key, ph_value, ph_dvalue, ph_subject
import eric_nlp
#does not do preprocessing
'''
creates a matrix with:
columns: roots
rows: count how often that root occurs for a function
'''
#all_roots is a dict from words to another dict from function ids to ints
#roots is expected to be a dict from words to ints
#attempt 1: how many nodes do they share, regardless of node depth
#a tree is a list of dictionarys. every dictionary represents a word of the sentence. key-value-pairs are the attributes of that word.
'''
takes a tuple as in "deprel" in dictionary.nlp_dictionary.
returns list of tuples. if master_tuple was a simple tuple, the list only contains that tuple
if master_tuple has lists as elements, these get split so that every tuple in the returned list has only strings as elements
Example:
in: (["predict", "divinate"], "obl", ["data", "person"])
out: [
("predict", "obl", "data"),
("predict", "obl", "person"),
("divinate", "obl", "data"),
("divinate", "obl", "person")
]
note: returning list has x elements with x being the product of all three lengths. (here 2*1*2 = 4)
'''
'''
takes a word-object of a depparse-word and a string element from a tuple (not a list-element. use generate_sub_tuples() first)
checks if dictionary.cd (by default "#") is in tuple_element. If so, it extracts which attribute (i.e. in front of "#") is wanted.
then returns the corresponding attribute value of word_object and the part right of "#" in tuple_element
if "#" was not in tuple_element, it returns tuple_element as it is and the default attribute of word_object
also needs an eric, to invoke replacement of placeholders
'''
'''
word_attribute should be from the user input, tuple_attribute one element of a tuple from the depparse templates in dictionary.nlp_dictionary
it's called attribute, not element because it should only be called at the end of get_comparison_attributes() which extracts attributes from word objects (e.g. the lemma, upos or deprel, etc.)
word_attribute needs to be included even though it will not have any placeholders. In the case, that "<outcome>" is in tuple_attribute, word_attribute needs to be checked
if it is a different form of the possible outcomes. This gets checked via the eric.model_columns["class"]["phrasings"] dict which has all possible outcomes as keys (here "survived" and "died")
and stores different forms of those as the values of that dict as list. Here ["survive", "survives"] and ["die", "dies"].
'''
replace_depparse_placeholders("", "", "")
#looks for the head/mother node of word in tree and returns it (or a representing dictionary if head is root).
#returns dict since root is not really represented in the word objects of depparse
#takes a depparse tree t and goes through the depparse tree templates in dictionary.nlp_dictionary
#returns a list of tuples (fct_id, tree template) with a tuple for every found match.
#expects a list of tuples with two elements each: 1st fct_id, 2nd the tree template that matched, i.e. a list of tuples
#that list should represend a ranking from most likely (lowest index) to least likey (highest index)
#it then goes through all templates and sorts them into templates that contain a lemma:not and and those that do not
#then creates a ranking again for both, separately
#then, both lists get concatenated with the negated tuples at the lower indices. So a short but negated template will have priority over a longer, non-negated one
#returns that list
#t is a tree like in tree_compare(t1, t2)
'''
if you thought of new sentence while analysing the output and just depparsed them over debug console and included them in the output_file,
this function will help. It can read your originally used input again, then the output file, compare sentences and store all new ones, i.e. the manually analysed sentences in a new input_file.
Also, it will then overwrite the output file to update the root counts
'''
if __name__ == "__main__":
#main()
debug_depparsed_sentences_to_console()
quit()
lines = test_stuff.read_input_from_file("data\\wrongly_accused.txt")
sentences = [x[1] for x in lines]
for s in sentences:
print(s)
print("//////////")
sp = init_stanza("en")
out, root = depparse(sentences, sp)
test_stuff.list_to_file(out, "output\\depparse\\wrongly_accused_out.txt")
quit()
#test_some_sentences()
for d in nlp_dictionary:
print(d["id"])
try:
x = d['depparse'][0]
print("\t---")
except Exception as e:
print("\tNOTHING")
sp = init_stanza("en")
input_files = [f"data\\umfrage_input_{x}_cleaned.txt" for x in range(1,5)]
fct = "whatif-gl"
update_depparse_output(input_files, f"output\\depparse\\{fct}.txt", fct, "data\\manually_added.txt", sp=sp)
| 40.387054 | 384 | 0.603735 |
269ad28a75a19ae401ecbe624997f530c5904d6d
| 706 |
py
|
Python
|
ch03/simple_cbow_pytorch.py
|
tomy-0000/deep-learning-from-scratch-2
|
3d3d7fd614b8021499ffc103199be5e32622717e
|
[
"MIT"
] | null | null | null |
ch03/simple_cbow_pytorch.py
|
tomy-0000/deep-learning-from-scratch-2
|
3d3d7fd614b8021499ffc103199be5e32622717e
|
[
"MIT"
] | null | null | null |
ch03/simple_cbow_pytorch.py
|
tomy-0000/deep-learning-from-scratch-2
|
3d3d7fd614b8021499ffc103199be5e32622717e
|
[
"MIT"
] | null | null | null |
# coding: utf-8
import torch.nn as nn
| 27.153846 | 54 | 0.609065 |
269c16b6afd598ff0e05a59d38e14e46ebde748b
| 7,814 |
py
|
Python
|
modules/input_output.py
|
nicolasying/WordNet-Embeddings
|
a6a5782dca97376e487df41fb83542729f284197
|
[
"MIT"
] | null | null | null |
modules/input_output.py
|
nicolasying/WordNet-Embeddings
|
a6a5782dca97376e487df41fb83542729f284197
|
[
"MIT"
] | null | null | null |
modules/input_output.py
|
nicolasying/WordNet-Embeddings
|
a6a5782dca97376e487df41fb83542729f284197
|
[
"MIT"
] | null | null | null |
# coding=utf-8
#! /usr/bin/env python3.4
"""
MIT License
Copyright (c) 2018 NLX-Group
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, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
This code reads wordnet data and index files
data_file_reader(file_name):
extract data from wordnet data files saved in "data/input" directory
output is
1- a dictionary with
key = synsetoffsets
data = (synsetWrds, synsetConnections, synsetRelationTypes, connectedSynsetPos, gloss)
2- and offset_list
[email protected]
"""
import os, sys
import numpy as np
from progressbar import ProgressBar, Percentage, Bar
| 36.344186 | 126 | 0.572562 |
269c9b7326d9d1d9ee7b7fac3ea362f209cd1e0f
| 1,599 |
py
|
Python
|
tests/test_formats.py
|
antmicro/raviewer
|
7529664d37e994d4c2f4c450a5577b79d73c4bb0
|
[
"Apache-2.0"
] | 12 |
2021-11-18T09:38:34.000Z
|
2022-03-24T19:33:44.000Z
|
tests/test_formats.py
|
antmicro/raviewer
|
7529664d37e994d4c2f4c450a5577b79d73c4bb0
|
[
"Apache-2.0"
] | 1 |
2022-02-14T12:07:02.000Z
|
2022-03-21T19:29:11.000Z
|
tests/test_formats.py
|
antmicro/raviewer
|
7529664d37e994d4c2f4c450a5577b79d73c4bb0
|
[
"Apache-2.0"
] | null | null | null |
"""Module for testing formats on resources entities"""
from raviewer.src.core import (get_displayable, load_image, parse_image)
from terminaltables import AsciiTable
from raviewer.image.color_format import AVAILABLE_FORMATS
import os
import pkg_resources
import time
import pytest
def test_all(formats):
"""Test all formats"""
print("Testing all formats, It may take a while...")
table_data = [["Format", "Passed", "Performance"]]
start_range = 800
end_range = 810
for color_format in formats.keys():
file_path = pkg_resources.resource_filename('resources',
color_format + "_1000_750")
passed_results = 0
format_performance = 0
start = time.time()
for width in range(start_range, end_range):
try:
if not os.path.exists(file_path):
break
img = load_image(file_path)
img = parse_image(img.data_buffer, color_format, width)
get_displayable(img)
passed_results += 1
except:
continue
end = time.time()
#Stats
format_performance = "{:.3f}".format(round(end - start, 3))
table_data.append([
color_format, "{}/{}".format(passed_results,
end_range - start_range),
format_performance
])
table = AsciiTable(table_data)
table.title = 'Test all formats'
print(table.table)
| 31.352941 | 79 | 0.590994 |
269e4231c77fb4d48c447cd279a2ecdca59c4ba8
| 702 |
py
|
Python
|
kqueen_ui/utils/wrappers.py
|
Richard-Barrett/kqueen-ui
|
f6b41edddd5130e5cd79773640942e9a824bbae1
|
[
"MIT"
] | null | null | null |
kqueen_ui/utils/wrappers.py
|
Richard-Barrett/kqueen-ui
|
f6b41edddd5130e5cd79773640942e9a824bbae1
|
[
"MIT"
] | null | null | null |
kqueen_ui/utils/wrappers.py
|
Richard-Barrett/kqueen-ui
|
f6b41edddd5130e5cd79773640942e9a824bbae1
|
[
"MIT"
] | null | null | null |
from flask import request
from flask import redirect
from flask import session
from flask import url_for
from functools import wraps
| 29.25 | 77 | 0.660969 |
269f222cd807eb64aa23f3a0beb347f29492e7b2
| 4,089 |
py
|
Python
|
dqc/utils/safeops.py
|
Jaikinator/dqc
|
47c964c7d1323a35f4f69521d40476c41843810e
|
[
"Apache-2.0"
] | 39 |
2021-05-31T17:01:23.000Z
|
2022-03-23T19:20:35.000Z
|
dqc/utils/safeops.py
|
Jaikinator/dqc
|
47c964c7d1323a35f4f69521d40476c41843810e
|
[
"Apache-2.0"
] | 14 |
2021-09-01T13:39:11.000Z
|
2022-03-13T16:45:39.000Z
|
dqc/utils/safeops.py
|
Jaikinator/dqc
|
47c964c7d1323a35f4f69521d40476c41843810e
|
[
"Apache-2.0"
] | 6 |
2021-07-16T09:08:29.000Z
|
2022-02-24T01:13:54.000Z
|
import math
import torch
from typing import Union, Optional, Tuple
from dqc.utils.datastruct import ZType
eps = 1e-12
########################## safe operations ##########################
########################## occupation number gradients ##########################
########################## other tensor ops ##########################
def safe_cdist(a: torch.Tensor, b: torch.Tensor, add_diag_eps: bool = False,
diag_inf: bool = False):
# returns the L2 pairwise distance of a and b
# a: (*BA, na, ndim)
# b: (*BB, nb, ndim)
# returns: (*BAB, na, nb)
square_mat = a.shape[-2] == b.shape[-2]
dtype = a.dtype
device = a.device
ab = a.unsqueeze(-2) - b.unsqueeze(-3) # (*BAB, na, nb, ndim)
# add the diagonal with a small eps to safeguard from nan
if add_diag_eps:
if not square_mat:
raise ValueError("Enabling add_diag_eps for non-square result matrix is invalid")
ab = ab + torch.eye(ab.shape[-2], dtype=dtype, device=device).unsqueeze(-1) * eps
ab = ab.norm(dim=-1) # (*BAB, na, nb)
# replace the diagonal with infinite (usually used for coulomb matrix)
if diag_inf:
if not square_mat:
raise ValueError("Enabling diag_inf for non-square result matrix is invalid")
infdiag = torch.eye(ab.shape[-1], dtype=dtype, device=device)
idiag = infdiag.diagonal()
idiag[:] = float("inf")
ab = ab + infdiag
return ab
| 36.837838 | 106 | 0.595011 |
269fd1b0bc7030c4e1f6c761faa1320701f6d9dc
| 4,713 |
py
|
Python
|
extra_envs/extra_envs/envs/point.py
|
Fanshaoliu/safe_rl
|
16ab54bebb70a86a80e1bfadb62656afb1547965
|
[
"MIT"
] | 13 |
2021-06-19T03:19:36.000Z
|
2022-03-29T10:44:37.000Z
|
extra_envs/extra_envs/envs/point.py
|
Fanshaoliu/safe_rl
|
16ab54bebb70a86a80e1bfadb62656afb1547965
|
[
"MIT"
] | 5 |
2021-06-16T20:06:51.000Z
|
2021-12-14T22:55:54.000Z
|
extra_envs/extra_envs/envs/point.py
|
Fanshaoliu/safe_rl
|
16ab54bebb70a86a80e1bfadb62656afb1547965
|
[
"MIT"
] | 4 |
2021-11-03T13:30:08.000Z
|
2022-01-05T11:16:47.000Z
|
import numpy as np
import gym
from gym import spaces
from gym.utils import seeding
| 38.317073 | 92 | 0.569064 |
26a2b53d4301d0838e61a2558348848ec6cc08bb
| 2,855 |
py
|
Python
|
src/model/model_basic.py
|
trungnt13/digisami_journal
|
671486d0fe7b65cad80daf8e8b96d475245c5fed
|
[
"Apache-2.0"
] | null | null | null |
src/model/model_basic.py
|
trungnt13/digisami_journal
|
671486d0fe7b65cad80daf8e8b96d475245c5fed
|
[
"Apache-2.0"
] | null | null | null |
src/model/model_basic.py
|
trungnt13/digisami_journal
|
671486d0fe7b65cad80daf8e8b96d475245c5fed
|
[
"Apache-2.0"
] | null | null | null |
from __future__ import print_function, division, absolute_import
from odin import nnet as N, backend as K
import tensorflow as tf
| 31.722222 | 64 | 0.62732 |
26a4b307dfc5e770b6a75ad04eed2871c82ad2a0
| 174 |
py
|
Python
|
Python/CrashCourse/mongodb-quickstart-course/src/starter_code_snake_bnb/src/infrastructure/state.py
|
Mujtaba-Biyabani/Research
|
211f57812786a151ce8c3b1c3ed379fd1ba4e2f9
|
[
"Unlicense"
] | 52 |
2017-12-06T10:44:05.000Z
|
2021-11-24T10:44:16.000Z
|
Python/CrashCourse/mongodb-quickstart-course/src/starter_code_snake_bnb/src/infrastructure/state.py
|
Mujtaba-Biyabani/Research
|
211f57812786a151ce8c3b1c3ed379fd1ba4e2f9
|
[
"Unlicense"
] | 8 |
2018-01-29T08:32:34.000Z
|
2019-01-02T05:56:51.000Z
|
Python/CrashCourse/mongodb-quickstart-course/src/starter_code_snake_bnb/src/infrastructure/state.py
|
Mujtaba-Biyabani/Research
|
211f57812786a151ce8c3b1c3ed379fd1ba4e2f9
|
[
"Unlicense"
] | 125 |
2018-11-20T07:56:22.000Z
|
2022-03-16T06:32:42.000Z
|
active_account = None
| 15.818182 | 49 | 0.683908 |
26a6c6bf63ea22f6476519c7dcbec3b7eb479136
| 550 |
py
|
Python
|
generators/activerecord/templates/models/abstract_model.py
|
afeiship/gx
|
9a3b566f64147eb1b6ffc753e2ebdf676f8ddef6
|
[
"MIT"
] | null | null | null |
generators/activerecord/templates/models/abstract_model.py
|
afeiship/gx
|
9a3b566f64147eb1b6ffc753e2ebdf676f8ddef6
|
[
"MIT"
] | null | null | null |
generators/activerecord/templates/models/abstract_model.py
|
afeiship/gx
|
9a3b566f64147eb1b6ffc753e2ebdf676f8ddef6
|
[
"MIT"
] | null | null | null |
from orator import Model
import pendulum
| 22 | 44 | 0.589091 |
26a919609f85889cbb4dc125397fcb5ff64f815f
| 220 |
py
|
Python
|
blank/build.py
|
davidbelliott/whitgl
|
bfa1a33b0059b722a773e513653ff802c8dc7d6f
|
[
"MIT"
] | 26 |
2016-01-09T16:46:53.000Z
|
2021-05-17T02:41:13.000Z
|
blank/build.py
|
davidbelliott/whitgl
|
bfa1a33b0059b722a773e513653ff802c8dc7d6f
|
[
"MIT"
] | null | null | null |
blank/build.py
|
davidbelliott/whitgl
|
bfa1a33b0059b722a773e513653ff802c8dc7d6f
|
[
"MIT"
] | 3 |
2016-02-19T06:05:19.000Z
|
2021-03-10T02:19:35.000Z
|
import os
import sys
joinp = os.path.join
sys.path.insert(0, 'whitgl')
sys.path.insert(0, joinp('whitgl', 'input'))
import build
sys.path.insert(0, 'input')
import ninja_syntax
build.do_game('Game', '', ['png','ogg'])
| 18.333333 | 44 | 0.690909 |
26aabfb0114adf3aa767a0e26c7a937d741efc5e
| 9,018 |
py
|
Python
|
factom_core/blocks/entry_credit_block.py
|
sourcery-ai-bot/factom-core
|
186dca550d98d758e9f8dab878e6382153efeaf3
|
[
"MIT"
] | null | null | null |
factom_core/blocks/entry_credit_block.py
|
sourcery-ai-bot/factom-core
|
186dca550d98d758e9f8dab878e6382153efeaf3
|
[
"MIT"
] | null | null | null |
factom_core/blocks/entry_credit_block.py
|
sourcery-ai-bot/factom-core
|
186dca550d98d758e9f8dab878e6382153efeaf3
|
[
"MIT"
] | null | null | null |
import hashlib
import struct
from dataclasses import dataclass, field
from typing import Dict, List, Union
from factom_core.block_elements.balance_increase import BalanceIncrease
from factom_core.block_elements.chain_commit import ChainCommit
from factom_core.block_elements.entry_commit import EntryCommit
from factom_core.utils import varint
from .directory_block import DirectoryBlock
ECIDTypes = Union[ChainCommit, EntryCommit, int]
| 36.216867 | 118 | 0.622422 |
26aacebd7375e02a1085b024169371e35da36aab
| 59 |
py
|
Python
|
project1/tests/q0.py
|
ucsb-int5/int5-f19-notebooks
|
5b3d1ee6964d9357f211f4706787403ec5a3079c
|
[
"MIT"
] | 1 |
2019-10-02T21:43:12.000Z
|
2019-10-02T21:43:12.000Z
|
project1/tests/q0.py
|
ucsb-int5/int5-f19-notebooks
|
5b3d1ee6964d9357f211f4706787403ec5a3079c
|
[
"MIT"
] | 3 |
2019-12-14T06:20:14.000Z
|
2019-12-14T07:12:33.000Z
|
project1/tests/q0.py
|
ucsb-int5/int5-f19-notebooks
|
5b3d1ee6964d9357f211f4706787403ec5a3079c
|
[
"MIT"
] | 3 |
2019-10-02T18:36:06.000Z
|
2019-12-03T18:16:45.000Z
|
test = { 'name': 'q0',
'points': 0,
'suites': []}
| 19.666667 | 24 | 0.389831 |
26ab3cad8e013a6c3ea0f8a7d1ac3f6bf89a579f
| 24,208 |
py
|
Python
|
tests/core/inst_utils.py
|
cornell-brg/lizard
|
7f9a78a913e64b5cfdee3a26223539ad225bd6da
|
[
"BSD-3-Clause"
] | 50 |
2019-05-22T08:43:15.000Z
|
2022-03-21T23:58:50.000Z
|
tests/core/inst_utils.py
|
cornell-brg/lizard
|
7f9a78a913e64b5cfdee3a26223539ad225bd6da
|
[
"BSD-3-Clause"
] | 1 |
2019-07-27T18:51:52.000Z
|
2019-08-02T01:20:22.000Z
|
tests/core/inst_utils.py
|
cornell-brg/lizard
|
7f9a78a913e64b5cfdee3a26223539ad225bd6da
|
[
"BSD-3-Clause"
] | 11 |
2019-12-26T06:00:48.000Z
|
2022-03-27T02:29:35.000Z
|
#=========================================================================
# inst_utils
#=========================================================================
# Includes helper functions to simplify creating assembly tests.
from pymtl import *
from tests.context import lizard
#-------------------------------------------------------------------------
# print_asm
#-------------------------------------------------------------------------
# Pretty print a generated assembly syntax
#-------------------------------------------------------------------------
# gen_nops
#-------------------------------------------------------------------------
#-------------------------------------------------------------------------
# gen_word_data
#-------------------------------------------------------------------------
#-------------------------------------------------------------------------
# gen_hword_data
#-------------------------------------------------------------------------
#-------------------------------------------------------------------------
# gen_byte_data
#-------------------------------------------------------------------------
#-------------------------------------------------------------------------
# gen_rr_src01_template
#-------------------------------------------------------------------------
# Template for register-register instructions. We first write src0
# register and then write the src1 register before executing the
# instruction under test. We parameterize the number of nops after
# writing both src registers and the instruction under test to enable
# using this template for testing various bypass paths. We also
# parameterize the register specifiers to enable using this template to
# test situations where the srce registers are equal and/or equal the
# destination register.
#-------------------------------------------------------------------------
# gen_rr_src10_template
#-------------------------------------------------------------------------
# Similar to the above template, except that we reverse the order in
# which we write the two src registers.
#-------------------------------------------------------------------------
# gen_rr_dest_dep_test
#-------------------------------------------------------------------------
# Test the destination bypass path by varying how many nops are
# inserted between the instruction under test and reading the destination
# register with a csrr instruction.
#-------------------------------------------------------------------------
# gen_rr_src1_dep_test
#-------------------------------------------------------------------------
# Test the source 1 bypass paths by varying how many nops are inserted
# between writing the src1 register and reading this register in the
# instruction under test.
#-------------------------------------------------------------------------
# gen_rr_src0_dep_test
#-------------------------------------------------------------------------
# Test the source 0 bypass paths by varying how many nops are inserted
# between writing the src0 register and reading this register in the
# instruction under test.
#-------------------------------------------------------------------------
# gen_rr_srcs_dep_test
#-------------------------------------------------------------------------
# Test both source bypass paths at the same time by varying how many nops
# are inserted between writing both src registers and reading both
# registers in the instruction under test.
#-------------------------------------------------------------------------
# gen_rr_src0_eq_dest_test
#-------------------------------------------------------------------------
# Test situation where the src0 register specifier is the same as the
# destination register specifier.
#-------------------------------------------------------------------------
# gen_rr_src1_eq_dest_test
#-------------------------------------------------------------------------
# Test situation where the src1 register specifier is the same as the
# destination register specifier.
#-------------------------------------------------------------------------
# gen_rr_src0_eq_src1_test
#-------------------------------------------------------------------------
# Test situation where the src register specifiers are the same.
#-------------------------------------------------------------------------
# gen_rr_srcs_eq_dest_test
#-------------------------------------------------------------------------
# Test situation where all three register specifiers are the same.
#-------------------------------------------------------------------------
# gen_rr_value_test
#-------------------------------------------------------------------------
# Test the actual operation of a register-register instruction under
# test. We assume that bypassing has already been tested.
#-------------------------------------------------------------------------
# gen_rimm_template
#-------------------------------------------------------------------------
# Template for register-immediate instructions. We first write the src
# register before executing the instruction under test. We parameterize
# the number of nops after writing the src register and the instruction
# under test to enable using this template for testing various bypass
# paths. We also parameterize the register specifiers to enable using
# this template to test situations where the srce registers are equal
# and/or equal the destination register.
#-------------------------------------------------------------------------
# gen_rimm_dest_dep_test
#-------------------------------------------------------------------------
# Test the destination bypass path by varying how many nops are
# inserted between the instruction under test and reading the destination
# register with a csrr instruction.
#-------------------------------------------------------------------------
# gen_rimm_src_dep_test
#-------------------------------------------------------------------------
# Test the source bypass paths by varying how many nops are inserted
# between writing the src register and reading this register in the
# instruction under test.
#-------------------------------------------------------------------------
# gen_rimm_src_eq_dest_test
#-------------------------------------------------------------------------
# Test situation where the src register specifier is the same as the
# destination register specifier.
#-------------------------------------------------------------------------
# gen_rimm_value_test
#-------------------------------------------------------------------------
# Test the actual operation of a register-immediate instruction under
# test. We assume that bypassing has already been tested.
#-------------------------------------------------------------------------
# gen_imm_template
#-------------------------------------------------------------------------
# Template for immediate instructions. We parameterize the number of nops
# after the instruction under test to enable using this template for
# testing various bypass paths.
#-------------------------------------------------------------------------
# gen_imm_dest_dep_test
#-------------------------------------------------------------------------
# Test the destination bypass path by varying how many nops are
# inserted between the instruction under test and reading the destination
# register with a csrr instruction.
#-------------------------------------------------------------------------
# gen_imm_value_test
#-------------------------------------------------------------------------
# Test the actual operation of an immediate instruction under test. We
# assume that bypassing has already been tested.
#-------------------------------------------------------------------------
# gen_br2_template
#-------------------------------------------------------------------------
# Template for branch instructions with two sources. We test two forward
# branches and one backwards branch. The way we actually do the test is
# we update a register to reflect the control flow; certain bits in this
# register are set at different points in the program. Then we can check
# the control flow bits at the end to see if only the bits we expect are
# set (i.e., the program only executed those points that we expect). Note
# that test also makes sure that the instruction in the branch delay slot
# is _not_ executed.
# We currently need the id to create labels unique to this test. We might
# eventually allow local labels (e.g., 1f, 1b) as in gas.
gen_br2_template_id = 0
#-------------------------------------------------------------------------
# gen_br2_src1_dep_test
#-------------------------------------------------------------------------
# Test the source 1 bypass paths by varying how many nops are inserted
# between writing the src1 register and reading this register in the
# instruction under test.
#-------------------------------------------------------------------------
# gen_br2_src0_dep_test
#-------------------------------------------------------------------------
# Test the source 0 bypass paths by varying how many nops are inserted
# between writing the src0 register and reading this register in the
# instruction under test.
#-------------------------------------------------------------------------
# gen_br2_srcs_dep_test
#-------------------------------------------------------------------------
# Test both source bypass paths at the same time by varying how many nops
# are inserted between writing both src registers and reading both
# registers in the instruction under test.
#-------------------------------------------------------------------------
# gen_br2_src0_eq_src1_test
#-------------------------------------------------------------------------
# Test situation where the src register specifiers are the same.
#-------------------------------------------------------------------------
# gen_br2_value_test
#-------------------------------------------------------------------------
# Test the correct branch resolution based on various source values.
# ''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
gen_jal_template_id = 0
#-------------------------------------------------------------------------
# gen_ld_template
#-------------------------------------------------------------------------
# Template for load instructions. We first write the base register before
# executing the instruction under test. We parameterize the number of
# nops after writing the base register and the instruction under test to
# enable using this template for testing various bypass paths. We also
# parameterize the register specifiers to enable using this template to
# test situations where the base register is equal to the destination
# register.
#-------------------------------------------------------------------------
# gen_ld_dest_dep_test
#-------------------------------------------------------------------------
# Test the destination bypass path by varying how many nops are
# inserted between the instruction under test and reading the destination
# register with a csrr instruction.
#-------------------------------------------------------------------------
# gen_ld_base_dep_test
#-------------------------------------------------------------------------
# Test the base register bypass paths by varying how many nops are
# inserted between writing the base register and reading this register in
# the instruction under test.
#-------------------------------------------------------------------------
# gen_ld_base_eq_dest_test
#-------------------------------------------------------------------------
# Test situation where the base register specifier is the same as the
# destination register specifier.
#-------------------------------------------------------------------------
# gen_ld_value_test
#-------------------------------------------------------------------------
# Test the actual operation of a register-register instruction under
# test. We assume that bypassing has already been tested.
# ''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
#-------------------------------------------------------------------------
# gen_st_template
#-------------------------------------------------------------------------
# Template for load instructions. We first write the base register before
# executing the instruction under test. We parameterize the number of
# nops after writing the base register and the instruction under test to
# enable using this template for testing various bypass paths. We also
# parameterize the register specifiers to enable using this template to
# test situations where the base register is equal to the destination
# register.
# test dependency in load of same address as store
| 33.207133 | 80 | 0.527801 |
26ab7ad4f1a2c561a6b79626d7ff5c41db51de8f
| 365 |
py
|
Python
|
python/concepts/compile-runtime.py
|
shanavas786/coding-fu
|
2f29781ab793b5932a951259afffbbe0078e8a8a
|
[
"CC0-1.0"
] | 1 |
2021-02-12T03:49:13.000Z
|
2021-02-12T03:49:13.000Z
|
python/concepts/compile-runtime.py
|
shanavas786/coding-fu
|
2f29781ab793b5932a951259afffbbe0078e8a8a
|
[
"CC0-1.0"
] | null | null | null |
python/concepts/compile-runtime.py
|
shanavas786/coding-fu
|
2f29781ab793b5932a951259afffbbe0078e8a8a
|
[
"CC0-1.0"
] | null | null | null |
inn = func(1)
inn()
| 20.277778 | 47 | 0.635616 |
26ac0f2a19c349ef5a8b08d5da941091d8465553
| 487 |
py
|
Python
|
alpinelib/aws/aws_lambda.py
|
nbcnews/alpinelib
|
8e0d065611b69fdc431ca30ca1a257516670bcf9
|
[
"MIT"
] | null | null | null |
alpinelib/aws/aws_lambda.py
|
nbcnews/alpinelib
|
8e0d065611b69fdc431ca30ca1a257516670bcf9
|
[
"MIT"
] | null | null | null |
alpinelib/aws/aws_lambda.py
|
nbcnews/alpinelib
|
8e0d065611b69fdc431ca30ca1a257516670bcf9
|
[
"MIT"
] | null | null | null |
import boto3
from .. import logging
logger = logging.getFormattedLogger()
lambda_client = boto3.client('lambda', region_name='us-west-2')
| 24.35 | 77 | 0.648871 |
26ad9a93696193c618815ae5d8967a74a464da8c
| 766 |
py
|
Python
|
test/test_lazy.py
|
sixty-north/python-transducers
|
575357e3a17ff3b4c757967afd396bf0ea042c08
|
[
"MIT"
] | 54 |
2015-10-02T02:45:36.000Z
|
2021-06-22T04:40:33.000Z
|
test/test_lazy.py
|
sixty-north/python-transducers
|
575357e3a17ff3b4c757967afd396bf0ea042c08
|
[
"MIT"
] | 3 |
2017-06-11T13:39:18.000Z
|
2017-06-12T06:07:24.000Z
|
test/test_lazy.py
|
sixty-north/python-transducers
|
575357e3a17ff3b4c757967afd396bf0ea042c08
|
[
"MIT"
] | 9 |
2015-10-28T23:36:50.000Z
|
2019-01-11T13:47:05.000Z
|
import unittest
from transducer.functional import compose
from transducer.lazy import transduce
from transducer.transducers import (mapping, filtering, taking, dropping_while, distinct)
if __name__ == '__main__':
unittest.main()
| 31.916667 | 89 | 0.574413 |
26adf150baad599be77596f054bbe7e015db202c
| 2,246 |
py
|
Python
|
cmake_pc_hooks/cppcheck.py
|
Takishima/cmake-pre-commit-hooks
|
a6d96865602f68f413f7f368aa1dbbb8bf495109
|
[
"Apache-2.0"
] | 2 |
2021-08-10T21:48:05.000Z
|
2022-02-28T11:46:51.000Z
|
cmake_pc_hooks/cppcheck.py
|
Takishima/cmake-pre-commit-hooks
|
a6d96865602f68f413f7f368aa1dbbb8bf495109
|
[
"Apache-2.0"
] | null | null | null |
cmake_pc_hooks/cppcheck.py
|
Takishima/cmake-pre-commit-hooks
|
a6d96865602f68f413f7f368aa1dbbb8bf495109
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding: utf-8 -*-
# Copyright 2021 Damien Nguyen
#
# 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 the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Wrapper script for cppcheck."""
import sys
from pathlib import Path
from ._utils import Command
def main(argv=None):
"""
Run command.
Args:
argv (:obj:`list` of :obj:`str`): list of arguments
"""
if argv is None:
argv = sys.argv
cmd = CppcheckCmd(argv)
cmd.run()
if __name__ == "__main__":
main()
| 29.946667 | 116 | 0.662066 |
26aec7ce88a039f97165462d31ff1b237e27b183
| 4,468 |
py
|
Python
|
django-todo-list/tasks/models.py
|
HimadriP/Orderly
|
e9464756c585e385f23436fc79acd2064b443432
|
[
"MIT"
] | 1 |
2019-07-29T19:52:29.000Z
|
2019-07-29T19:52:29.000Z
|
django-todo-list/tasks/models.py
|
HimadriP/Orderly
|
e9464756c585e385f23436fc79acd2064b443432
|
[
"MIT"
] | null | null | null |
django-todo-list/tasks/models.py
|
HimadriP/Orderly
|
e9464756c585e385f23436fc79acd2064b443432
|
[
"MIT"
] | null | null | null |
from django.db import models
from django.conf import settings
from django.core.urlresolvers import reverse_lazy
from django.utils import timezone
from django.forms.util import to_current_timezone
from model_utils import Choices
| 36.622951 | 78 | 0.530215 |
26af8dafdbc00b0bb2091823b9a4a72611dc7cfc
| 521 |
py
|
Python
|
apps/boards/apps.py
|
julianwachholz/thefarland
|
c7259311fafb60beba167422eefd0d0c5d362514
|
[
"WTFPL"
] | null | null | null |
apps/boards/apps.py
|
julianwachholz/thefarland
|
c7259311fafb60beba167422eefd0d0c5d362514
|
[
"WTFPL"
] | null | null | null |
apps/boards/apps.py
|
julianwachholz/thefarland
|
c7259311fafb60beba167422eefd0d0c5d362514
|
[
"WTFPL"
] | null | null | null |
from django.apps import AppConfig
from django.db.models.signals import post_save, post_delete
from . import signals
| 30.647059 | 70 | 0.71785 |
26af8f12a06f8edb90f5fc54b553edce179f388f
| 2,445 |
py
|
Python
|
danmu.py
|
wjhtime/douyu_danmu_python
|
432198f86bc9f6facd7ef531f301e8c7c8a9285f
|
[
"MIT"
] | 4 |
2018-12-15T10:35:20.000Z
|
2019-06-04T20:20:32.000Z
|
danmu.py
|
wjhtime/douyu_danmu_python
|
432198f86bc9f6facd7ef531f301e8c7c8a9285f
|
[
"MIT"
] | null | null | null |
danmu.py
|
wjhtime/douyu_danmu_python
|
432198f86bc9f6facd7ef531f301e8c7c8a9285f
|
[
"MIT"
] | 2 |
2019-04-29T08:20:08.000Z
|
2020-05-19T09:51:19.000Z
|
'''
api
tv
'''
import multiprocessing
import socket
import time
import re
import signal
# socketapi
client = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
host = socket.gethostbyname("openbarrage.douyutv.com")
port = 8601
client.connect((host, port))
#
danmu_re = re.compile(b'txt@=(.+?)/cid@')
username_re = re.compile(b'nn@=(.+?)/txt@')
def send_req_msg(msgstr):
'''api'''
msg = msgstr.encode('utf-8')
data_length = len(msg) + 8
code = 689
#
msgHead = int.to_bytes(data_length, 4, 'little') \
+ int.to_bytes(data_length, 4, 'little') + \
int.to_bytes(code, 4, 'little')
client.send(msgHead)
sent = 0
while sent < len(msg):
tn = client.send(msg[sent:])
sent = sent + tn
def keeplive():
'''
15
'''
while True:
msg = 'type@=keeplive/tick@=' + str(int(time.time())) + '/\0'
send_req_msg(msg)
print('')
time.sleep(15)
def logout():
'''
'''
msg = 'type@=logout/'
send_req_msg(msg)
print('')
def signal_handler(signal, frame):
'''
ctrl+c signal.SIGINT
hander
'''
p1.terminate()
p2.terminate()
logout()
print('Bye')
if __name__ == '__main__':
#room_id = input('ID ')
# lpl
room_id = 288016
# signal
signal.signal(signal.SIGINT, signal_handler)
#
p1 = multiprocessing.Process(target=DM_start, args=(room_id,))
p2 = multiprocessing.Process(target=keeplive)
p1.start()
p2.start()
| 21.447368 | 75 | 0.578323 |
26afa6ab00539bb702ecf9ce1071e801dd9694da
| 3,828 |
py
|
Python
|
03_spider_douyin/spider_douyin.py
|
theThreeKingdom/python-exercises
|
fc08a7bbb9d6b53d5761b9e1017f293bff4e26db
|
[
"Apache-2.0"
] | null | null | null |
03_spider_douyin/spider_douyin.py
|
theThreeKingdom/python-exercises
|
fc08a7bbb9d6b53d5761b9e1017f293bff4e26db
|
[
"Apache-2.0"
] | null | null | null |
03_spider_douyin/spider_douyin.py
|
theThreeKingdom/python-exercises
|
fc08a7bbb9d6b53d5761b9e1017f293bff4e26db
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding: utf-8 -*-
# @Time : 2020/4/1 0:48
# @Author : Nixin
# @Email : [email protected]
# @File : spider_douyin.py
# @Software: PyCharm
import requests, re, sys, os, time, random, socket
import http.client
from bs4 import BeautifulSoup
if __name__ == '__main__':
# download_douyin(56, "https://v.douyin.com/3wV6PQ")
batch_download_douyin(80, "E:/nixin/douyin/video/20200419/1.txt")
pass
| 33.876106 | 163 | 0.562696 |
26b0dec6991fd98013cf8dc45f05ed08b2f7cb49
| 479 |
py
|
Python
|
hooks/relations/juju-info/requires.py
|
xenefix/RoutingPolicyRule
|
fb0c815c3fc049f63491a3ca56416c8ba0fe692c
|
[
"Apache-2.0"
] | null | null | null |
hooks/relations/juju-info/requires.py
|
xenefix/RoutingPolicyRule
|
fb0c815c3fc049f63491a3ca56416c8ba0fe692c
|
[
"Apache-2.0"
] | null | null | null |
hooks/relations/juju-info/requires.py
|
xenefix/RoutingPolicyRule
|
fb0c815c3fc049f63491a3ca56416c8ba0fe692c
|
[
"Apache-2.0"
] | null | null | null |
from charms.reactive import RelationBase
from charms.reactive import scopes
from charms.reactive import hook
from charms.reactive import when
| 26.611111 | 73 | 0.707724 |
26b107fd23e87c597f676bc069f5e3b5b448d1e3
| 593 |
py
|
Python
|
suricata-4.1.4/python/suricata/ctl/test_filestore.py
|
runtest007/dpdk_surcata_4.1.1
|
5abf91f483b418b5d9c2dd410b5c850d6ed95c5f
|
[
"MIT"
] | 77 |
2019-06-17T07:05:07.000Z
|
2022-03-07T03:26:27.000Z
|
suricata-4.1.4/python/suricata/ctl/test_filestore.py
|
clockdad/DPDK_SURICATA-4_1_1
|
974cc9eb54b0b1ab90eff12a95617e3e293b77d3
|
[
"MIT"
] | 22 |
2019-07-18T02:32:10.000Z
|
2022-03-24T03:39:11.000Z
|
suricata-4.1.4/python/suricata/ctl/test_filestore.py
|
clockdad/DPDK_SURICATA-4_1_1
|
974cc9eb54b0b1ab90eff12a95617e3e293b77d3
|
[
"MIT"
] | 49 |
2019-06-18T03:31:56.000Z
|
2022-03-13T05:23:10.000Z
|
from __future__ import print_function
import unittest
import filestore
| 31.210526 | 71 | 0.706577 |
26b279e2de1f9a9dd6eeef9e0736a69c9c2cc2f9
| 1,027 |
py
|
Python
|
chmap/examples/development/example109_store-creds.py
|
predsci/CHD
|
35f29d1b62861f4ffed57b38d18689b282664bcf
|
[
"Apache-2.0"
] | 3 |
2021-06-29T00:23:47.000Z
|
2021-09-17T18:29:05.000Z
|
chmap/examples/development/example109_store-creds.py
|
predsci/CHD
|
35f29d1b62861f4ffed57b38d18689b282664bcf
|
[
"Apache-2.0"
] | null | null | null |
chmap/examples/development/example109_store-creds.py
|
predsci/CHD
|
35f29d1b62861f4ffed57b38d18689b282664bcf
|
[
"Apache-2.0"
] | 1 |
2021-12-08T06:26:18.000Z
|
2021-12-08T06:26:18.000Z
|
# This is a little bit clunky, but is a better solution than writing passwords into
import os
from cryptography.fernet import Fernet
# cred_dir = os.path.join(os.path.dirname(os.getcwd()), "settings")
cred_dir = '/Users/cdowns/work/imac_local/CoronalHoles/mysql_credentials'
key_file = os.path.join(cred_dir, "e_key.bin")
# Generate a new local encryption key if needed
if not os.path.exists(key_file):
key = Fernet.generate_key()
# print(key)
with open(key_file, 'wb') as file_object:
file_object.write(key)
else:
with open(key_file, 'rb') as file_object:
for line in file_object:
key = line
# User inputs password interactively so it is never saved
passw = input("Enter a password to encrypt and save: ")
cipher_suite = Fernet(key)
ciphered_text = cipher_suite.encrypt(passw.encode()) # required to be bytes
creds_file = os.path.join(cred_dir, "e_cred.bin")
print("Writing credential file")
with open(creds_file, 'wb') as file_object:
file_object.write(ciphered_text)
| 31.121212 | 83 | 0.728335 |
26b4086be5d9ece68d83031748858af8aef6a984
| 663 |
py
|
Python
|
indjections/packages/django-allauth.py
|
pandichef/indjections
|
e8f0e62cf648607ed50330ac69dd12e9fc0cf710
|
[
"BSD-2-Clause"
] | 7 |
2020-07-20T00:33:15.000Z
|
2020-07-24T04:14:53.000Z
|
indjections/packages/django-allauth.py
|
pandichef/indjections
|
e8f0e62cf648607ed50330ac69dd12e9fc0cf710
|
[
"BSD-2-Clause"
] | 17 |
2020-07-20T03:17:06.000Z
|
2020-07-27T07:36:25.000Z
|
indjections/packages/django-allauth.py
|
pandichef/indjections
|
e8f0e62cf648607ed50330ac69dd12e9fc0cf710
|
[
"BSD-2-Clause"
] | null | null | null |
settings = """
try:
AUTHENTICATION_BACKENDS += [
"django.contrib.auth.backends.ModelBackend",
"allauth.account.auth_backends.AuthenticationBackend",
]
except NameError:
AUTHENTICATION_BACKENDS = [
"django.contrib.auth.backends.ModelBackend",
"allauth.account.auth_backends.AuthenticationBackend",
]
INSTALLED_APPS += [
"django.contrib.sites", # not installed by default
"allauth",
"allauth.account",
"allauth.socialaccount",
"allauth.socialaccount.providers.google",
]
SITE_ID = 1
"""
urls = """
from django.urls import include
urlpatterns += [path("accounts/", include("allauth.urls"))]
"""
| 24.555556 | 62 | 0.680241 |
26b4665a5f013ded26bc910df476a322704eda91
| 475 |
py
|
Python
|
teamcat_service/docker_build/target/one_step_build/teamcat/doraemon/logcat/pagefactory/logcat_template_path.py
|
zhangyin2088/Teamcat
|
be9be8d7c1e58c8d2d22ab78d25783d9aee4de71
|
[
"Apache-2.0"
] | 6 |
2018-11-26T08:42:52.000Z
|
2020-06-01T08:33:48.000Z
|
teamcat_service/docker_build/target/one_step_build/teamcat/doraemon/logcat/pagefactory/logcat_template_path.py
|
zhangyin2088/Teamcat
|
be9be8d7c1e58c8d2d22ab78d25783d9aee4de71
|
[
"Apache-2.0"
] | null | null | null |
teamcat_service/docker_build/target/one_step_build/teamcat/doraemon/logcat/pagefactory/logcat_template_path.py
|
zhangyin2088/Teamcat
|
be9be8d7c1e58c8d2d22ab78d25783d9aee4de71
|
[
"Apache-2.0"
] | 1 |
2019-01-22T06:45:36.000Z
|
2019-01-22T06:45:36.000Z
|
#coding=utf-8
'''
Created on 2015-10-10
@author: Devuser
'''
| 19 | 65 | 0.751579 |
26b56046672f411c1c88bcbb0a2ebddb8ba65691
| 176 |
py
|
Python
|
competitive-programming/kattis/heimavinna.py
|
sanchopanca/coding-for-pleasure
|
fed1910e8a5a4241bd55aed333afd79b4405a71d
|
[
"MIT"
] | null | null | null |
competitive-programming/kattis/heimavinna.py
|
sanchopanca/coding-for-pleasure
|
fed1910e8a5a4241bd55aed333afd79b4405a71d
|
[
"MIT"
] | null | null | null |
competitive-programming/kattis/heimavinna.py
|
sanchopanca/coding-for-pleasure
|
fed1910e8a5a4241bd55aed333afd79b4405a71d
|
[
"MIT"
] | null | null | null |
s = 0
problems = input().strip().split(';')
for p in problems:
if '-' in p:
a, b = map(int, p.split('-'))
s += b - a + 1
else:
s += 1
print(s)
| 16 | 37 | 0.420455 |
26b76d047c1414efdb3d56d1cf6e2c55efd68449
| 745 |
py
|
Python
|
icepll.py
|
carlosedp/fusesoc-generators
|
4ee343ce0013952bd89d6986bfb5ed861b2cf6b2
|
[
"MIT"
] | null | null | null |
icepll.py
|
carlosedp/fusesoc-generators
|
4ee343ce0013952bd89d6986bfb5ed861b2cf6b2
|
[
"MIT"
] | null | null | null |
icepll.py
|
carlosedp/fusesoc-generators
|
4ee343ce0013952bd89d6986bfb5ed861b2cf6b2
|
[
"MIT"
] | null | null | null |
#!/usr/bin/python
from fusesoc.capi2.generator import Generator
import subprocess
g = IcepllGenerator()
g.run()
g.write()
| 31.041667 | 79 | 0.555705 |
26b7cad7376280941d68826426ca4c361383c494
| 351 |
py
|
Python
|
templates/checkcel/BrasExplor_Pictures_template.py
|
mboudet/braskoload
|
8f39f2d68638a683e0d8e5065b33a218afe370cb
|
[
"MIT"
] | null | null | null |
templates/checkcel/BrasExplor_Pictures_template.py
|
mboudet/braskoload
|
8f39f2d68638a683e0d8e5065b33a218afe370cb
|
[
"MIT"
] | null | null | null |
templates/checkcel/BrasExplor_Pictures_template.py
|
mboudet/braskoload
|
8f39f2d68638a683e0d8e5065b33a218afe370cb
|
[
"MIT"
] | null | null | null |
from checkcel import Checkplate
from checkcel.validators import SetValidator, NoValidator
from collections import OrderedDict
| 29.25 | 74 | 0.706553 |
26bc7d495f1e995a46390a4be5f8a0a4a460b0ab
| 2,823 |
py
|
Python
|
src/shark/poker/player.py
|
twoodruff01/shark
|
6c183de1993492b614eff332548f5c0f57facda2
|
[
"Apache-2.0"
] | null | null | null |
src/shark/poker/player.py
|
twoodruff01/shark
|
6c183de1993492b614eff332548f5c0f57facda2
|
[
"Apache-2.0"
] | null | null | null |
src/shark/poker/player.py
|
twoodruff01/shark
|
6c183de1993492b614eff332548f5c0f57facda2
|
[
"Apache-2.0"
] | null | null | null |
# Copyright 2022 Thomas Woodruff
# 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 the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from .. import cli
| 37.144737 | 106 | 0.616366 |
26bd34791b254cf4bcb5957b49692dda6546cfa1
| 1,059 |
py
|
Python
|
BUNKURO/BUNKURO.py
|
kantoku-code/Fusion360_BUNKURO
|
0c83f2ab57f03c83fcad98b85b59792360f7a804
|
[
"MIT"
] | 1 |
2022-03-18T13:06:57.000Z
|
2022-03-18T13:06:57.000Z
|
BUNKURO/BUNKURO.py
|
kantoku-code/Fusion360_BUNKURO
|
0c83f2ab57f03c83fcad98b85b59792360f7a804
|
[
"MIT"
] | null | null | null |
BUNKURO/BUNKURO.py
|
kantoku-code/Fusion360_BUNKURO
|
0c83f2ab57f03c83fcad98b85b59792360f7a804
|
[
"MIT"
] | null | null | null |
# Author-kantoku
# Description-!
# Fusion360API Python
import adsk.core
import traceback
try:
from . import config
from .apper import apper
from .commands.BUNKUROCore import BUNKUROCore
# Create our addin definition object
my_addin = apper.FusionApp(config.app_name, config.company_name, False)
my_addin.root_path = config.app_path
my_addin.add_command(
'',
BUNKUROCore,
{
'cmd_description': '!',
'cmd_id': 'bunkuro',
'workspace': 'FusionSolidEnvironment',
'toolbar_panel_id': 'UtilityPanel',
'cmd_resources': 'BUNKURO',
'command_visible': True,
'command_promoted': False,
'create_feature': False,
}
)
except:
app = adsk.core.Application.get()
ui = app.userInterface
if ui:
ui.messageBox('Initialization: {}'.format(traceback.format_exc()))
| 23.021739 | 75 | 0.634561 |
26bd97f61aa8677a52c1050fed16514074e239fd
| 2,004 |
py
|
Python
|
hp_steam_data/src/main.py
|
wangzhefeng/data-analysis
|
e502ac49ae1bc8287243e1faf51c467cc4d4187c
|
[
"MIT"
] | null | null | null |
hp_steam_data/src/main.py
|
wangzhefeng/data-analysis
|
e502ac49ae1bc8287243e1faf51c467cc4d4187c
|
[
"MIT"
] | null | null | null |
hp_steam_data/src/main.py
|
wangzhefeng/data-analysis
|
e502ac49ae1bc8287243e1faf51c467cc4d4187c
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import numpy as np
import pandas as pd
import os
PROJECT_PATH = "/mnt/e/dev/test/hp_steam_data/"
DATA_PATH = os.path.join(PROJECT_PATH, "data")
RESULT_PATH = os.path.join(PROJECT_PATH, "result")
def get_origin_data():
"""
origin data
"""
# raw data
eturb_m1_data = pd.read_csv("/mnt/e/dev/test/hp_steam_data/data/eturb_m1_1min_metrics-0817.csv", header = 0, index_col = None)
eturb_m2_data = pd.read_csv("/mnt/e/dev/test/hp_steam_data/data/eturb_m2_1min_metrics-0817.csv", header = 0, index_col = None)
boiler_m1_data = pd.read_csv("/mnt/e/dev/test/hp_steam_data/data/boiler_m1_1min_outlet_steam_flow.csv", header = 0, index_col = None)
boiler_m3_data = pd.read_csv("/mnt/e/dev/test/hp_steam_data/data/boiler_m3_1min_outlet_steam_flow.csv", header = 0, index_col = None)
steampipeline_p1_data = pd.read_csv("/mnt/e/dev/test/hp_steam_data/data/steampipeline_p1_1min_hp_steam_pressure.csv", header = 0, index_col = None)
# data aggregate
df = pd.DataFrame()
# eturb_m1
df["eturb_m1_steam_flow_in"] = eturb_m1_data["ExtCondensTurbineOP.steam_flow_in"]
df["eturb_m2_steam_flow_in"] = eturb_m2_data["ExtCondensTurbineOP.steam_flow_in"]
df["boiler_m1_outlet_steam_flow"] = boiler_m1_data["CFBoilerOP.outlet_steam_flow"]
df["boiler_m3_outlet_steam_flow"] = boiler_m3_data["CFBoilerOP.outlet_steam_flow"]
df["steampipeline_p1_hp_steam_pressure"] = steampipeline_p1_data["SteamPipelineOP.hp_steam_pressure"]
df["boiler_steam_flow"] = df["boiler_m1_outlet_steam_flow"] + df["boiler_m3_outlet_steam_flow"]
df["turbine_steam_flow"] = df["eturb_m1_steam_flow_in"] + df["eturb_m2_steam_flow_in"]
df = df.reset_index(drop = True)
return df
if __name__ == "__main__":
main()
| 36.436364 | 151 | 0.733034 |
26be0d11d5b6b76d30765326da6c34a562d5f111
| 621 |
py
|
Python
|
stock_experiment_sbb_with_vectors_of_ones.py
|
dvirg/auctions
|
da706f3d11b9582c7f811de9f50b96b43ac8cbd0
|
[
"MIT"
] | 1 |
2021-11-20T19:27:45.000Z
|
2021-11-20T19:27:45.000Z
|
stock_experiment_sbb_with_vectors_of_ones.py
|
dvirg/auctions
|
da706f3d11b9582c7f811de9f50b96b43ac8cbd0
|
[
"MIT"
] | null | null | null |
stock_experiment_sbb_with_vectors_of_ones.py
|
dvirg/auctions
|
da706f3d11b9582c7f811de9f50b96b43ac8cbd0
|
[
"MIT"
] | null | null | null |
#!python3
"""
Simulation experiment for our AAAI 2020 paper, with recipes that are vectors of ones.
Comparing McAfee's double auction to our SBB auctions.
Author: Dvir Gilor
Since: 2020-08
"""
from experiment_stock import experiment
from mcafee_protocol import mcafee_trade_reduction
from trade_reduction_protocol import budget_balanced_trade_reduction
from ascending_auction_protocol import budget_balanced_ascending_auction
import sys
results_file = "stock/results/experiment_sbb_with_vectors_of_ones_stock.csv"
experiment(results_file,budget_balanced_ascending_auction, "SBB Ascending Prices", recipe=4*(1,))
| 27 | 97 | 0.84219 |
26be6c749fedecdd29350e7dc06917fe50136ca1
| 556 |
py
|
Python
|
Modulo-02/ex058/ex058.py
|
Matheus-Henrique-Burey/Curso-de-Python
|
448aebaab96527affa1e45897a662bb0407c11c6
|
[
"MIT"
] | null | null | null |
Modulo-02/ex058/ex058.py
|
Matheus-Henrique-Burey/Curso-de-Python
|
448aebaab96527affa1e45897a662bb0407c11c6
|
[
"MIT"
] | null | null | null |
Modulo-02/ex058/ex058.py
|
Matheus-Henrique-Burey/Curso-de-Python
|
448aebaab96527affa1e45897a662bb0407c11c6
|
[
"MIT"
] | null | null | null |
from random import randint
print('=-' * 15)
print('ADIVINHE EM QUE NUMERO ESTOU PENANDO')
print('=-' * 15)
pc = randint(0, 10)
num = 11
cont = 0
while pc != num:
num = int(input('Sera que voce consegue acertar o numero que pensei, entre 0, 10: '))
if num == pc:
print('PARABES!!! VOCE ACERTOU')
else:
if num < pc:
print('Mais...', end=' ')
else:
print('Menos...', end=' ')
print('Tente novamente')
print('-' * 20)
cont += 1
print(f'Voce tentou {cont} vezes para acertar')
| 23.166667 | 89 | 0.546763 |
26c07cd4c709d13692e520d5fa627ce985733c5a
| 3,172 |
py
|
Python
|
sfc_models/examples/scripts/deprecated/ex20170108_model_PC.py
|
MachineLP/SFC_models
|
d438a4e3e88534a206c761cda7a3f6a58ac3a0ac
|
[
"Apache-2.0"
] | 21 |
2016-11-03T12:30:50.000Z
|
2022-03-24T06:54:14.000Z
|
sfc_models/examples/scripts/deprecated/ex20170108_model_PC.py
|
MachineLP/SFC_models
|
d438a4e3e88534a206c761cda7a3f6a58ac3a0ac
|
[
"Apache-2.0"
] | 1 |
2019-04-02T02:01:27.000Z
|
2019-04-07T21:07:10.000Z
|
sfc_models/examples/scripts/deprecated/ex20170108_model_PC.py
|
MachineLP/SFC_models
|
d438a4e3e88534a206c761cda7a3f6a58ac3a0ac
|
[
"Apache-2.0"
] | 12 |
2016-11-03T12:30:57.000Z
|
2021-09-14T23:08:23.000Z
|
"""
ex20170108_model_PC.py
Create Model PC (Godley & Lavoie Chapter 4).
Copyright 2017 Brian Romanchuk
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 the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
from sfc_models.examples.Quick2DPlot import Quick2DPlot
from sfc_models.models import *
from sfc_models.sector import Market
from sfc_models.sector_definitions import Household, Treasury, CentralBank, TaxFlow, FixedMarginBusiness, DepositMarket, \
MoneyMarket
if __name__ == '__main__':
main()
| 39.65 | 122 | 0.669294 |
26c4a3b8183960d6aad7bfb1532a7a0f533eda4e
| 4,087 |
py
|
Python
|
flask_simpleview/__init__.py
|
jackwardell/Flask-SimpleView
|
813d5dbe6353f77016c893caff526abae8487492
|
[
"Apache-2.0"
] | null | null | null |
flask_simpleview/__init__.py
|
jackwardell/Flask-SimpleView
|
813d5dbe6353f77016c893caff526abae8487492
|
[
"Apache-2.0"
] | null | null | null |
flask_simpleview/__init__.py
|
jackwardell/Flask-SimpleView
|
813d5dbe6353f77016c893caff526abae8487492
|
[
"Apache-2.0"
] | null | null | null |
import re
import flask
import flask.views
from functools import wraps
def camel_case_to_snake_case(word):
"""very simple mechanism for turning CamelCase words into snake_case"""
return re.sub(r"(?<!^)(?=[A-Z])", "_", word).lower()
def camel_case_to_slug_case(word):
"""very simple mechanism for turning CamelCase words into slug-case"""
return re.sub(r"(?<!^)(?=[A-Z])", "-", word).lower()
def extends_rule(rule):
return extend_rule
API = View = SimpleView
| 28.381944 | 84 | 0.62711 |
26c5a0a8bb014c980c7a75f56eb95838d11757a4
| 2,287 |
py
|
Python
|
qingcloud/cli/iaas_client/actions/cluster/deploy_app_version.py
|
knktc/qingcloud-cli
|
2be8bba43e08bd7a76e1326ece871386cc9b5b55
|
[
"Apache-2.0"
] | 11 |
2015-05-27T19:52:36.000Z
|
2021-04-15T09:07:39.000Z
|
qingcloud/cli/iaas_client/actions/cluster/deploy_app_version.py
|
knktc/qingcloud-cli
|
2be8bba43e08bd7a76e1326ece871386cc9b5b55
|
[
"Apache-2.0"
] | 7 |
2017-07-19T05:05:03.000Z
|
2019-04-25T07:18:04.000Z
|
qingcloud/cli/iaas_client/actions/cluster/deploy_app_version.py
|
knktc/qingcloud-cli
|
2be8bba43e08bd7a76e1326ece871386cc9b5b55
|
[
"Apache-2.0"
] | 19 |
2016-03-15T07:31:47.000Z
|
2021-07-26T09:31:33.000Z
|
# =========================================================================
# Copyright 2012-present Yunify, Inc.
# -------------------------------------------------------------------------
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this work except in compliance with the License.
# You may obtain a copy of the License in the LICENSE file, or at:
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# =========================================================================
from qingcloud.iaas import constants as const
from qingcloud.cli.iaas_client.actions.base import BaseAction
| 40.122807 | 91 | 0.567118 |
26c5a8a0093950f0c391d5d30211cf53ae6f042f
| 5,022 |
py
|
Python
|
padevents/events.py
|
muffin-rice/pad-cogs
|
820ecf08f9569a3d7cf3264d0eb9567264b42edf
|
[
"MIT"
] | 2 |
2020-09-25T01:57:21.000Z
|
2020-10-02T13:46:48.000Z
|
padevents/events.py
|
muffin-rice/pad-cogs
|
820ecf08f9569a3d7cf3264d0eb9567264b42edf
|
[
"MIT"
] | 43 |
2020-08-29T06:16:39.000Z
|
2020-10-29T12:00:15.000Z
|
padevents/events.py
|
muffin-rice/pad-cogs
|
820ecf08f9569a3d7cf3264d0eb9567264b42edf
|
[
"MIT"
] | 6 |
2020-08-31T04:37:55.000Z
|
2020-10-19T05:09:17.000Z
|
import datetime
from datetime import timedelta
from typing import Callable, Collection, TYPE_CHECKING
import pytz
from tsutils.formatting import normalize_server_name
from tsutils.time import JP_TIMEZONE, KR_TIMEZONE, NA_TIMEZONE
from padevents.enums import DungeonType, EventLength
if TYPE_CHECKING:
from dbcog.models.scheduled_event_model import ScheduledEventModel
SUPPORTED_SERVERS = ["JP", "NA", "KR"]
SERVER_TIMEZONES = {
"JP": JP_TIMEZONE,
"NA": NA_TIMEZONE,
"KR": KR_TIMEZONE,
}
| 36.656934 | 107 | 0.666866 |
26c6baf54f78e9c92b1e52fb48aafcc91b720d02
| 1,409 |
py
|
Python
|
server/getSert.py
|
sviridovt/WIE
|
9af6d3dff7e774f5e332e6c77eadde815d4c375d
|
[
"MIT"
] | 1 |
2021-09-03T11:36:02.000Z
|
2021-09-03T11:36:02.000Z
|
server/getSert.py
|
sviridovt/WIE
|
9af6d3dff7e774f5e332e6c77eadde815d4c375d
|
[
"MIT"
] | null | null | null |
server/getSert.py
|
sviridovt/WIE
|
9af6d3dff7e774f5e332e6c77eadde815d4c375d
|
[
"MIT"
] | 1 |
2021-09-03T11:36:04.000Z
|
2021-09-03T11:36:04.000Z
|
# allows to import RSA lib from different dir
import sys
# inserts path to access RSA encryption lib
# sys.path.insert(0, '../RSAEncryption')
import socket
import json
from libs.communication import sendEncrypted, recvEncrypted, sendData, readData
from libs.RSAKeys import readPrivateKey
from libs.EncryptedSocket import EncryptedSocket
from libs.settings import *
HOST = '127.0.0.1'
PORT = 4444
printDebug = True
SSID = "SecureCanes"
# sending data
| 21.029851 | 79 | 0.675656 |
26c71f804645b9d738d4394f797c6533de859d14
| 7,085 |
py
|
Python
|
code/billiard_game_multi_ball.py
|
ifsheldon/billiard_game
|
1ce13d39158734efd76e617bba2bb319d5498c3f
|
[
"BSD-2-Clause"
] | null | null | null |
code/billiard_game_multi_ball.py
|
ifsheldon/billiard_game
|
1ce13d39158734efd76e617bba2bb319d5498c3f
|
[
"BSD-2-Clause"
] | null | null | null |
code/billiard_game_multi_ball.py
|
ifsheldon/billiard_game
|
1ce13d39158734efd76e617bba2bb319d5498c3f
|
[
"BSD-2-Clause"
] | null | null | null |
import taichi as ti
import numpy as np
from functools import partial
from itertools import combinations
from billiard_game_dual_ball import normalize_vector, two_ball_collides, calc_next_pos_and_velocity, \
calc_after_collision_velocity, rectify_positions_in_collision, rectify_positions_and_velocities
# Constants
WHITE = 0xFFFFFF
RED = 0xFF0000
GREEN = 0x00FF00
BLUE = 0x0000FF
# wc for world space x[0.0, ratio], y[0.0, 1.0]
# sc for screen space [0.0, 1.0]^2
# Constant parameters
RESOLUTION = (1230, 750)
RATIO = RESOLUTION[0] / RESOLUTION[1] # x/y
FPS = 60
CUE_BALL_IDX = 0
STICK_LENGTH_SC = 0.1
DRAG_COEFFICIENT = 0.03
G = 9.8
CUE_BALL_MAX_SPEED_WC = 1.0
BALL_PIXEL_RADIUS = 10
HOLE_PIXEL_RADIUS = 15
num_balls = 1
# Derived parameters
ball_radius_wc = BALL_PIXEL_RADIUS / RESOLUTION[1]
hole_radius_wc = HOLE_PIXEL_RADIUS / RESOLUTION[1]
x_begin_wc = 0.0
x_end_wc = RATIO
y_begin_wc = 0.0
y_end_wc = 1.0
if __name__ == "__main__":
ti.init(ti.cpu)
print("Press A to kick the cue ball")
wc_to_sc_multiplier = np.array([1 / RATIO, 1]) # transform to [0,1]^ screen space
sc_to_wc_multiplier = np.array([RATIO, 1])
virtual_bound_x = np.array([ball_radius_wc, x_end_wc - ball_radius_wc])
virtual_bound_y = np.array([ball_radius_wc, y_end_wc - ball_radius_wc])
dx_wc = x_end_wc / 2.
dy_wc = y_end_wc / 2.
hole_pos_x = np.arange(3) * dx_wc
hole_pos_y = np.arange(3) * dy_wc
hole_pos_x, hole_pos_y = np.meshgrid(hole_pos_x, hole_pos_y)
hole_center_positions_wc = np.stack([hole_pos_x, hole_pos_y], axis=-1).reshape(-1, 2) # (3, 3, 2) -> (9, 2)
hole_center_positions_wc = np.delete(hole_center_positions_wc, 4, axis=0)
hole_center_positions_sc = hole_center_positions_wc * wc_to_sc_multiplier.reshape(1, 2)
ball_velocities_wc = np.zeros((num_balls, 2))
ball_visible = np.ones(num_balls, dtype=bool)
span_wc = np.array([virtual_bound_x[1] - virtual_bound_x[0], virtual_bound_y[1] - virtual_bound_y[0]])
offset_wc = np.array([virtual_bound_x[0], virtual_bound_y[0]])
ball_pos_wc = place_balls_wc(span_wc, offset_wc)
gui = ti.GUI("billiard_game_multi_ball", RESOLUTION)
gui.fps_limit = FPS
delta_t = 1.0 / FPS
boundary_begin_wc = np.array([
[x_begin_wc, y_begin_wc],
[x_begin_wc, y_begin_wc],
[x_end_wc, y_end_wc],
[x_end_wc, y_end_wc]
])
boundary_end_wc = np.array([
[x_end_wc, y_begin_wc],
[x_begin_wc, y_end_wc],
[x_end_wc, y_begin_wc],
[x_begin_wc, y_end_wc]
])
# a convenient partial function of rectify_positions_and_velocities
rectify_pv = partial(rectify_positions_and_velocities,
virtual_bound_x[0], virtual_bound_x[1],
virtual_bound_y[0], virtual_bound_y[1])
ball_pairs = list(combinations(range(num_balls), 2))
ball_color_indices = np.ones(num_balls)
ball_color_indices[CUE_BALL_IDX] = 0
ball_colors = [WHITE, RED]
while gui.running:
gui.clear(GREEN)
hit_ball = gui.get_event(ti.GUI.PRESS) and gui.is_pressed("a")
cue_ball_pos_sc = ball_pos_wc[CUE_BALL_IDX] * wc_to_sc_multiplier
# the current setting is only when all balls are stationary, the mouse is available
if np.allclose((ball_velocities_wc ** 2).sum(-1), 0., rtol=0.001, atol=0.001) and ball_visible[CUE_BALL_IDX]:
rod_dir_sc, length = normalize_vector(gui.get_cursor_pos() - cue_ball_pos_sc)
rod_line = rod_dir_sc * min(STICK_LENGTH_SC, length)
gui.line(cue_ball_pos_sc, cue_ball_pos_sc + rod_line, radius=2)
if hit_ball:
ball_velocities_wc[CUE_BALL_IDX] = (rod_dir_sc * sc_to_wc_multiplier) \
* CUE_BALL_MAX_SPEED_WC * (min(STICK_LENGTH_SC,
length) / STICK_LENGTH_SC) # modify the speed with a multiplier dependent on the distance between mouse and the cue ball
# for i in range(num_balls): # for each ball, if score() returns True, set this ball invisible
# # Not care now
# if score(hole_center_positions_wc, ball_pos_wc[i]):
# ball_visible[i] = False
# ball_velocities_wc[i] = 0.
# No need to care about this in verilog
gui.lines(begin=boundary_begin_wc, end=boundary_end_wc, radius=2)
gui.circles(ball_pos_wc[ball_visible] * wc_to_sc_multiplier.reshape(1, 2),
radius=BALL_PIXEL_RADIUS,
palette=ball_colors,
palette_indices=ball_color_indices[ball_visible])
gui.circles(hole_center_positions_sc, radius=HOLE_PIXEL_RADIUS, color=0)
gui.show()
for i in range(num_balls): # unroll this loop for the two ball case
if not ball_visible[i]:
continue
next_pos_wc, next_velocity_wc = calc_next_pos_and_velocity(ball_pos_wc[i], ball_velocities_wc[i],
delta_t, DRAG_COEFFICIENT, G)
next_pos_wc, next_velocity_wc = rectify_pv(next_pos_wc, next_velocity_wc)
ball_pos_wc[i] = next_pos_wc
ball_velocities_wc[i] = next_velocity_wc
for ball_i, ball_j in ball_pairs: # only one iteration for the two ball case, since we have only one pair
if not ball_visible[ball_i] or not ball_visible[ball_j]:
continue
ball_i_pos_wc = ball_pos_wc[ball_i]
ball_j_pos_wc = ball_pos_wc[ball_j]
if two_ball_collides(ball_i_pos_wc, ball_j_pos_wc, ball_radius_wc):
ball_i_pos_wc, ball_j_pos_wc = rectify_positions_in_collision(ball_i_pos_wc, ball_j_pos_wc,
ball_radius_wc)
ball_i_v_wc = ball_velocities_wc[ball_i]
ball_j_v_wc = ball_velocities_wc[ball_j]
ball_i_v_wc, ball_j_v_wc = calc_after_collision_velocity(ball_i_pos_wc, ball_j_pos_wc,
ball_i_v_wc, ball_j_v_wc)
ball_velocities_wc[ball_i] = ball_i_v_wc
ball_velocities_wc[ball_j] = ball_j_v_wc
| 44.006211 | 203 | 0.651941 |
26c8199913901f96201fe9b8091ee36c1351a53e
| 347 |
py
|
Python
|
examples/prompt.py
|
nelice/bullet
|
aafec4d0ca8f628d2be9b0667c50477929c2cca7
|
[
"MIT"
] | 1 |
2021-03-22T07:55:30.000Z
|
2021-03-22T07:55:30.000Z
|
examples/prompt.py
|
nelice/bullet
|
aafec4d0ca8f628d2be9b0667c50477929c2cca7
|
[
"MIT"
] | null | null | null |
examples/prompt.py
|
nelice/bullet
|
aafec4d0ca8f628d2be9b0667c50477929c2cca7
|
[
"MIT"
] | null | null | null |
from bullet import Bullet, Prompt, Check, Input, YesNo
from bullet import styles
cli = Prompt(
[
Bullet("Choose from a list: ", **styles.Example),
Check("Choose from a list: ", **styles.Example),
Input("Who are you? "),
YesNo("Are you a student? ")
],
spacing = 2
)
result = cli.launch()
print(result)
| 23.133333 | 57 | 0.599424 |
26c8a00c561378714f8ad7990f244b2a1e695121
| 671 |
py
|
Python
|
testsuite/tests/T618-047__Ada_2012/run_test.py
|
AdaCore/style_checker
|
17108ebfc44375498063ecdad6c6e4430458e60a
|
[
"CNRI-Python"
] | 2 |
2017-10-22T18:04:26.000Z
|
2020-03-06T11:07:41.000Z
|
testsuite/tests/T618-047__Ada_2012/run_test.py
|
AdaCore/style_checker
|
17108ebfc44375498063ecdad6c6e4430458e60a
|
[
"CNRI-Python"
] | null | null | null |
testsuite/tests/T618-047__Ada_2012/run_test.py
|
AdaCore/style_checker
|
17108ebfc44375498063ecdad6c6e4430458e60a
|
[
"CNRI-Python"
] | 4 |
2018-05-22T12:08:54.000Z
|
2020-12-14T15:25:27.000Z
|
def test_pck_2012_adb(style_checker):
"""Style check test against pck_2012.adb."""
style_checker.set_year(2006)
p = style_checker.run_style_checker('repo_name', 'pck_2012.ads')
style_checker.assertEqual(p.status, 0, p.image)
style_checker.assertRunOutputEmpty(p)
def test_pck_2012_adb_with_alt_config_forcing_gnat2012(style_checker):
"""Style check test against pck_2012.adb with gnat12 config option."""
style_checker.set_year(2006)
p = style_checker.run_style_checker(
'--config', 'gnat2012_config.yaml', 'repo_name', 'pck_2012.ads')
style_checker.assertEqual(p.status, 0, p.image)
style_checker.assertRunOutputEmpty(p)
| 41.9375 | 74 | 0.754098 |
26cacd8b2394e2ededf66d1f7ced4b0560e95348
| 594 |
py
|
Python
|
src/volume_0/0011_Drawing_Lots.py
|
DaikiShimada/aoj-exercise
|
dd4b70d4fd64aa28bc4cc75f5cdb8d02ea796803
|
[
"MIT"
] | null | null | null |
src/volume_0/0011_Drawing_Lots.py
|
DaikiShimada/aoj-exercise
|
dd4b70d4fd64aa28bc4cc75f5cdb8d02ea796803
|
[
"MIT"
] | null | null | null |
src/volume_0/0011_Drawing_Lots.py
|
DaikiShimada/aoj-exercise
|
dd4b70d4fd64aa28bc4cc75f5cdb8d02ea796803
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
import sys
if __name__ == '__main__':
main()
| 21.214286 | 73 | 0.503367 |
26cbd6df4059d6dbdf0c29f052b92ccdc1a7a881
| 1,832 |
py
|
Python
|
mglg/util/profiler.py
|
aforren1/mglg
|
a9b703e109a66377dd404929fc0b13ccc12b5214
|
[
"MIT"
] | null | null | null |
mglg/util/profiler.py
|
aforren1/mglg
|
a9b703e109a66377dd404929fc0b13ccc12b5214
|
[
"MIT"
] | 9 |
2019-08-05T21:11:09.000Z
|
2021-11-18T18:19:33.000Z
|
mglg/util/profiler.py
|
aforren1/mglg
|
a9b703e109a66377dd404929fc0b13ccc12b5214
|
[
"MIT"
] | null | null | null |
from timeit import default_timer
import numpy as np
| 31.586207 | 90 | 0.555131 |
26ccd5bc1d5e387e612a0f077f3e861929e6b021
| 2,972 |
py
|
Python
|
toolbox/exp/Experiment.py
|
LinXueyuanStdio/KGE-toolbox
|
916842835e61ba99dde1409592977a2ec55f8aae
|
[
"Apache-2.0"
] | 2 |
2021-10-17T17:50:24.000Z
|
2021-12-13T05:22:46.000Z
|
toolbox/exp/Experiment.py
|
LinXueyuanStdio/KGE-toolbox
|
916842835e61ba99dde1409592977a2ec55f8aae
|
[
"Apache-2.0"
] | null | null | null |
toolbox/exp/Experiment.py
|
LinXueyuanStdio/KGE-toolbox
|
916842835e61ba99dde1409592977a2ec55f8aae
|
[
"Apache-2.0"
] | null | null | null |
import numpy as np
from toolbox.exp.OutputSchema import OutputSchema
from toolbox.utils.LaTeXSotre import EvaluateLaTeXStoreSchema
from toolbox.utils.MetricLogStore import MetricLogStoreSchema
from toolbox.utils.ModelParamStore import ModelParamStoreSchema
from toolbox.utils.Visualize import VisualizeSchema
| 44.358209 | 89 | 0.685397 |
26cdda5a2dd54f427c59a8a3d865986d8ec6b5ee
| 893 |
py
|
Python
|
src/dataloader/tests/runner.py
|
ODM2/ODM2DataSharingPortal
|
4ea1d633fe8e1cc39916e83041f2dbc830339e55
|
[
"BSD-3-Clause"
] | 18 |
2018-11-27T11:57:24.000Z
|
2022-03-19T16:52:35.000Z
|
src/dataloader/tests/runner.py
|
ODM2/ODM2DataSharingPortal
|
4ea1d633fe8e1cc39916e83041f2dbc830339e55
|
[
"BSD-3-Clause"
] | 362 |
2018-02-21T16:27:00.000Z
|
2022-03-31T18:48:48.000Z
|
src/dataloader/tests/runner.py
|
ODM2/ODM2DataSharingPortal
|
4ea1d633fe8e1cc39916e83041f2dbc830339e55
|
[
"BSD-3-Clause"
] | 5 |
2018-07-04T17:13:09.000Z
|
2021-12-19T22:51:40.000Z
|
import json
import os
from django.core.management import call_command
from django.test.runner import DiscoverRunner
from django.db import connections
from dataloader.tests.data import data_manager
| 29.766667 | 98 | 0.721165 |
26cf29a0e44e798901be0b42a84cea83caaf14fe
| 364 |
py
|
Python
|
plugins/rain.py
|
xditya/PikaBotPlugins
|
2c5c52716158cd8964220bcc71fa383ccaf1210a
|
[
"Apache-2.0"
] | 2 |
2021-02-16T05:35:41.000Z
|
2021-05-25T16:59:47.000Z
|
plugins/rain.py
|
xditya/PikaBotPlugins
|
2c5c52716158cd8964220bcc71fa383ccaf1210a
|
[
"Apache-2.0"
] | null | null | null |
plugins/rain.py
|
xditya/PikaBotPlugins
|
2c5c52716158cd8964220bcc71fa383ccaf1210a
|
[
"Apache-2.0"
] | 2 |
2021-02-07T03:09:40.000Z
|
2021-05-25T16:59:59.000Z
|
#Originally created By KingMars Rain Sequence 2 {Updated}
from telethon import events
import asyncio
from collections import deque
| 22.75 | 59 | 0.717033 |
26cf746287a13ed33dacec35f0898c4fe183c37a
| 73 |
py
|
Python
|
preprocessing/__init__.py
|
WiktorSa/Music-Generation-with-LSTM-and-.wav-files
|
37b713b5e6193788a7710cc0fac4134efb74fa62
|
[
"MIT"
] | 1 |
2022-03-09T20:13:57.000Z
|
2022-03-09T20:13:57.000Z
|
preprocessing/__init__.py
|
WiktorSa/Music-Generation-with-LSTM-and-.wav-files
|
37b713b5e6193788a7710cc0fac4134efb74fa62
|
[
"MIT"
] | 1 |
2021-10-01T16:20:06.000Z
|
2021-10-01T17:25:30.000Z
|
preprocessing/__init__.py
|
WiktorSa/Music-Generation-with-LSTM-and-.wav-files
|
37b713b5e6193788a7710cc0fac4134efb74fa62
|
[
"MIT"
] | null | null | null |
from preprocessing.generate_and_save_data import generate_and_save_data
| 36.5 | 72 | 0.917808 |
26cfb507f5245413925f5d6ffbbfcea4aa484298
| 6,126 |
py
|
Python
|
plot.py
|
lizzieayton/PrimordialOozebot
|
1e330b1ac6f27bd167734ad6c6ecff70f816986a
|
[
"MIT"
] | null | null | null |
plot.py
|
lizzieayton/PrimordialOozebot
|
1e330b1ac6f27bd167734ad6c6ecff70f816986a
|
[
"MIT"
] | null | null | null |
plot.py
|
lizzieayton/PrimordialOozebot
|
1e330b1ac6f27bd167734ad6c6ecff70f816986a
|
[
"MIT"
] | null | null | null |
import matplotlib.pyplot as plt
import csv
import statistics
import math
plt.title('Population Diversity')
plt.ylabel('Diversity Score')
plt.xlabel('Iteration Number')
random = []
randombars = []
rmin = []
rmax = []
hill = []
hillbars = []
hmin = []
hmax = []
evo = []
emin = []
emax = []
evobars = []
cross = []
crossbars = []
cmin = []
cmax = []
numRuns = 5
numIterations = 100000000
sqrtRuns = math.sqrt(numRuns)
iterationDataRandom = []
iterationDataHill = []
iterationDataEvo = []
iterationDataCross = []
indicesToPlot = [10, 15, 20, 25]
index = 60
while indicesToPlot[-1] < numIterations:
indicesToPlot.append(index)
index = int(index * 1.02)
indicesToPlot[-1] = numIterations - 1
#xtiks = []
#for i in range(10):
# xtiks.append(int(numIterations / 5 * i))
#plt.xticks(xtiks)
for i in range(1, numRuns + 1):
iterationDataRandom.append({})
iterationDataHill.append({})
iterationDataEvo.append({})
iterationDataCross.append({})
with open('rand' + str(i) + '.csv', newline='') as csvfile:
reader = csv.reader(csvfile, delimiter=' ', quotechar='|')
index = 0
for row in reversed(list(reader)):
vals = row[0].split(',')
iteration = int(vals[0])
val = float(vals[1])
while index < len(indicesToPlot) - 1 and indicesToPlot[index + 1] < iteration:
index += 1
iterationDataRandom[-1][indicesToPlot[index]] = val
with open('hill' + str(i) + '.csv', newline='') as csvfile:
reader = csv.reader(csvfile, delimiter=' ', quotechar='|')
index = 0
for row in reversed(list(reader)):
vals = row[0].split(',')
iteration = int(vals[0])
val = float(vals[2])
while index < len(indicesToPlot) - 1 and indicesToPlot[index] < iteration:
index += 1
iterationDataHill[-1][indicesToPlot[index]] = val
with open('evo' + str(i) + '.csv', newline='') as csvfile:
reader = csv.reader(csvfile, delimiter=' ', quotechar='|')
index = 0
for row in reversed(list(reader)):
vals = row[0].split(',')
iteration = int(vals[0]) * 100
val = float(vals[2])
while index < len(indicesToPlot) - 1 and indicesToPlot[index] < iteration:
index += 1
iterationDataEvo[-1][indicesToPlot[index]] = val
with open('ed' + str(i) + '.csv', newline='') as csvfile:
reader = csv.reader(csvfile, delimiter=' ', quotechar='|')
index = 0
for row in reversed(list(reader)):
vals = row[0].split(',')
iteration = int(vals[0])
val = float(vals[2])
while index < len(indicesToPlot) - 1 and indicesToPlot[index] < iteration:
index += 1
iterationDataCross[-1][indicesToPlot[index]] = val
print("Done reading data")
unifiedRandom = []
unifiedHill = []
unifiedEvo = []
unifiedCross = []
index = 0
for iteration in indicesToPlot:
currentRandom = []
currentHill = []
currentEvo = []
currentCross = []
unifiedRandom.append(currentRandom)
unifiedHill.append(currentHill)
unifiedEvo.append(currentEvo)
unifiedCross.append(currentCross)
for run in range(numRuns):
valRandom = -1
if iteration in iterationDataRandom[run]:
valRandom = iterationDataRandom[run][iteration]
else:
# unchanged
valRandom = unifiedRandom[-2][run]
currentRandom.append(valRandom)
valHill = -1
if iteration in iterationDataHill[run]:
valHill = iterationDataHill[run][iteration]
else:
# unchanged
valHill = unifiedHill[-2][run]
currentHill.append(valHill)
valEvo = -1
if iteration in iterationDataEvo[run]:
valEvo = iterationDataEvo[run][iteration]
else:
#unchanged
valEvo = unifiedEvo[-2][run]
currentEvo.append(valEvo)
valCross = -1
if iteration in iterationDataCross[run]:
valCross = iterationDataCross[run][iteration]
else:
#unchanged
valCross = unifiedCross[-2][run]
currentCross.append(valCross)
randomAverage = statistics.mean(currentRandom)
randomError = statistics.stdev(currentRandom) / sqrtRuns
random.append(randomAverage)
randombars.append(randomError)
hillAverage = statistics.mean(currentHill)
hillError = statistics.stdev(currentHill) / sqrtRuns
hill.append(hillAverage)
hillbars.append(hillError)
evoAverage = statistics.mean(currentEvo)
evoError = statistics.stdev(currentEvo) / sqrtRuns
evo.append(evoAverage)
evobars.append(evoError)
crossAverage = statistics.mean(currentCross)
crossError = statistics.stdev(currentCross) / sqrtRuns
cross.append(crossAverage)
crossbars.append(crossError)
for i in range(len(random)):
rmin.append(random[i] - randombars[i])
rmax.append(random[i] + randombars[i])
hmin.append(hill[i] - hillbars[i])
hmax.append(hill[i] + hillbars[i])
emin.append(evo[i] - evobars[i])
emax.append(evo[i] + evobars[i])
cmin.append(cross[i] - crossbars[i])
cmax.append(cross[i] + crossbars[i])
print("Done processing data")
plt.xscale('log')
#plt.yscale('log')
#plt.plot(indicesToPlot, random, color='blue', linewidth=1, label='Random Search')
plt.plot(indicesToPlot, hill, color='green', linewidth=1, label='Parallel Hill Climb')
plt.plot(indicesToPlot, evo, color='red', linewidth=1, label='Weighted Selection')
plt.plot(indicesToPlot, cross, color='blue', linewidth=1, label='Parental Replacement')
plt.fill_between(indicesToPlot, hmin, hmax, facecolor='green', lw=0, alpha=0.5)
plt.fill_between(indicesToPlot, emin, emax, facecolor='red', lw=0, alpha=0.5)
plt.fill_between(indicesToPlot, cmin, cmax, facecolor='blue', lw=0, alpha=0.5)
#plt.fill_between(indicesToPlot, rmin, rmax, facecolor='blue', lw=0, alpha=0.5)
plt.legend(loc='best')
plt.savefig('diversityp.png', dpi=500)
plt.show()
| 30.939394 | 90 | 0.623572 |
26cfea22c43edc42786c9199d503d77927f66e4d
| 1,918 |
py
|
Python
|
python/obra_hacks/backend/commands.py
|
brandond/obra-hacks
|
df451c6c6cd78b48f6e32bbd102a8e8a6bd77cb3
|
[
"Apache-2.0"
] | null | null | null |
python/obra_hacks/backend/commands.py
|
brandond/obra-hacks
|
df451c6c6cd78b48f6e32bbd102a8e8a6bd77cb3
|
[
"Apache-2.0"
] | null | null | null |
python/obra_hacks/backend/commands.py
|
brandond/obra-hacks
|
df451c6c6cd78b48f6e32bbd102a8e8a6bd77cb3
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import logging
from datetime import date
import click
from .data import DISCIPLINE_MAP
from .outputs import OUTPUT_MAP
if __name__ == '__main__':
cli()
| 34.25 | 100 | 0.684567 |
26d2a8925926b05405485ed3b4fa01550942c26f
| 657 |
py
|
Python
|
join_json.py
|
ryavorsky/med_robo
|
56f8d2067921ef7208166380e50af0600c10032a
|
[
"CC0-1.0"
] | null | null | null |
join_json.py
|
ryavorsky/med_robo
|
56f8d2067921ef7208166380e50af0600c10032a
|
[
"CC0-1.0"
] | null | null | null |
join_json.py
|
ryavorsky/med_robo
|
56f8d2067921ef7208166380e50af0600c10032a
|
[
"CC0-1.0"
] | null | null | null |
import json
with open('bibliography.json', 'r', encoding='utf-8') as bib_data:
bib = sorted(json.load(bib_data), key=lambda d: d['ID'])
with open('abstracts.json', 'r', encoding='utf-8') as tex_data:
tex = sorted(json.load(tex_data), key=lambda d: d['ID'])
ID1 = [b['ID'] for b in bib]
ID2 = [t['ID'] for t in tex]
for i in range(len(ID1)):
bib[i]['reference'] = tex[i]['title']
bib[i]['abstract'] = tex[i]['abstract']
print('Done')
with open('med_robo_papers.json', 'w', encoding='utf-8') as res_file:
res_file.write(json.dumps(bib, indent=4, ensure_ascii=False, sort_keys=True))
res_file.close()
| 28.565217 | 82 | 0.614916 |
26d58240f4233e1d13f48a78a83f734ca262cc13
| 147 |
py
|
Python
|
Qcover/simulator/__init__.py
|
BAQIS-Quantum/Qcover
|
ca3776ed73fefa0cfef08042143a8cf842f8dad5
|
[
"Apache-2.0"
] | 38 |
2021-12-22T03:12:01.000Z
|
2022-03-17T06:57:10.000Z
|
Qcover/simulator/__init__.py
|
BAQIS-Quantum/Qcover
|
ca3776ed73fefa0cfef08042143a8cf842f8dad5
|
[
"Apache-2.0"
] | null | null | null |
Qcover/simulator/__init__.py
|
BAQIS-Quantum/Qcover
|
ca3776ed73fefa0cfef08042143a8cf842f8dad5
|
[
"Apache-2.0"
] | 13 |
2021-12-22T07:32:44.000Z
|
2022-02-28T06:47:41.000Z
|
from .qton import Qcircuit, Qcodes
import warnings
warnings.filterwarnings("ignore")
__all__ = [
# 'Simulator',
'Qcircuit',
'Qcodes'
]
| 16.333333 | 34 | 0.680272 |
26d8d630adbf36e69e2b1f614c164c0bdbf94301
| 7,563 |
py
|
Python
|
pizzerias/pizzerias_search.py
|
LiushaHe0317/pizzerias_block_search
|
16dd7fb20b1a29a4f16b28ac7e5a84b30f7f9a7b
|
[
"MIT"
] | null | null | null |
pizzerias/pizzerias_search.py
|
LiushaHe0317/pizzerias_block_search
|
16dd7fb20b1a29a4f16b28ac7e5a84b30f7f9a7b
|
[
"MIT"
] | null | null | null |
pizzerias/pizzerias_search.py
|
LiushaHe0317/pizzerias_block_search
|
16dd7fb20b1a29a4f16b28ac7e5a84b30f7f9a7b
|
[
"MIT"
] | null | null | null |
from typing import Sequence
import numpy
def check_area(self, loc: Sequence, radius: int, report=False):
"""
This method takes a location coordinate and a radius and search the delivery services around this specified area.
:param loc: A tuple of integers.
:param radius: An integer.
:param report: A boolean that indicates whether or not print a report.
return:
- A sub-matrix of the pizzerias matrix which is created in terms of specified range.
- A maximum in this area.
- A set of cells that have maximum.
"""
matrix = self.area_matrix(loc, radius)
x_initial, y_initial = loc
y_center = self.n_of_block - y_initial
x_center = x_initial - 1
low0 = y_center - radius if y_center - radius >= 0 else 0
left1 = x_center - radius if x_center - radius >= 0 else 0
maximum = self.maximum_in_matrix(matrix)
max_set = self.max_locations(matrix=matrix, d0_start=low0, d1_start=left1)
if report:
print(f"In the given area, there are {len(max_set)} areas where {maximum} Pizzerias delivery service "
f"can cover, they are: ", max_set)
return matrix, maximum, max_set
def check_city(self, report=False):
"""
This method returns the matrix, the maximum and a set of maximum tuple of cells.
:param report: A boolean indicating whether or not print report.
:return:
- The pizzerias matrix.
- A maximum in this the pizzerias matrix.
- A set of cells that have maximum.
"""
if report:
print(f"There are {len(self.max_locations())} area(s) where {self.maximum_in_matrix()} Pizzerias can cover, "
f"they are: ", self.max_locations())
return self.pizzerias_matrix, self.maximum_in_matrix(), self.max_locations()
| 42.728814 | 123 | 0.627793 |
26d8feef12cddd2dca60e0f08ac5f863599108a2
| 1,213 |
py
|
Python
|
analysis/hist_javelin.py
|
LiyrAstroph/MICA
|
2592b8ad3011880898f557a69b22cad63fcd47e0
|
[
"MIT"
] | 1 |
2016-10-25T06:32:33.000Z
|
2016-10-25T06:32:33.000Z
|
analysis/hist_javelin.py
|
LiyrAstroph/MICA
|
2592b8ad3011880898f557a69b22cad63fcd47e0
|
[
"MIT"
] | null | null | null |
analysis/hist_javelin.py
|
LiyrAstroph/MICA
|
2592b8ad3011880898f557a69b22cad63fcd47e0
|
[
"MIT"
] | 3 |
2016-12-29T06:04:13.000Z
|
2020-04-12T11:48:42.000Z
|
import numpy as np
import matplotlib.pyplot as plt
import corner
mcmc = np.loadtxt("mychain1.dat")
ntheta = mcmc.shape[1]
fig = plt.figure(1, figsize=(15, 6))
ax = fig.add_subplot(231)
ax.hist(mcmc[:, 0]/np.log(10.0), 100, normed=True, range=(-0.9, -0.1))
ax = fig.add_subplot(232)
ax.hist(mcmc[:, 1]/np.log(10.0), 100, normed=True, range=(0.0, 2.0))
ax = fig.add_subplot(234)
ax.hist(mcmc[:, 2], 100, normed=True, range=(1.0, 2.8))
ax = fig.add_subplot(235)
ax.hist(mcmc[:, 3], 100, normed=True, range=(0.0, 1.2))
ax = fig.add_subplot(236)
ax.hist(mcmc[:, 4], 100, normed=True, range=(5, 13))
mcmc = np.loadtxt("../data/mcmc.txt")
ntheta = mcmc.shape[1]
nb = 20000
fig = plt.figure(2, figsize=(15, 6))
ax = fig.add_subplot(231)
ax.hist( (mcmc[nb:, 1]+0.5*mcmc[nb:, 2]-0.5*np.log(2.0))/np.log(10.0), 100, normed=True, range=(-0.9, -0.1))
ax = fig.add_subplot(232)
ax.hist(mcmc[nb:, 2]/np.log(10), 100, normed=True, range=(0.0, 2.0))
ax = fig.add_subplot(234)
ax.hist(mcmc[nb:, 5], 100, normed=True, range=(1.0, 2.8))
ax = fig.add_subplot(235)
ax.hist(mcmc[nb:, 3], 100, normed=True, range=(0.0, 1.2))
ax = fig.add_subplot(236)
ax.hist(mcmc[nb:, 4], 100, normed=True, range=(5, 13))
plt.show()
| 24.26 | 108 | 0.635614 |
26da85c2640497939b911d5705595d7671906491
| 1,158 |
py
|
Python
|
tests/test_stats.py
|
janjaappape/pastas
|
521b27efd921e240df0717038f8389d62099b8ff
|
[
"MIT"
] | 252 |
2017-01-25T05:48:53.000Z
|
2022-03-31T17:46:37.000Z
|
tests/test_stats.py
|
janjaappape/pastas
|
521b27efd921e240df0717038f8389d62099b8ff
|
[
"MIT"
] | 279 |
2017-02-14T10:59:01.000Z
|
2022-03-31T09:17:37.000Z
|
tests/test_stats.py
|
janjaappape/pastas
|
521b27efd921e240df0717038f8389d62099b8ff
|
[
"MIT"
] | 57 |
2017-02-14T10:26:54.000Z
|
2022-03-11T14:04:48.000Z
|
import numpy as np
import pandas as pd
import pastas as ps
def test_runs_test():
"""
http://www.itl.nist.gov/div898/handbook/eda/section3/eda35d.htm
True Z-statistic = 2.69
Read NIST test data
"""
data = pd.read_csv("tests/data/nist.csv")
test, _ = ps.stats.runs_test(data)
assert test[0] - 2.69 < 0.02
| 27.571429 | 79 | 0.638169 |
26db23f57ee2cf9c420d9e5404d2b60d7671991a
| 320 |
py
|
Python
|
venv/lib64/python3.8/site-packages/tld/registry.py
|
nrfkhira/dnx-engine
|
99a326d83058bcfe54a0f455672d90637fe753c6
|
[
"MIT"
] | null | null | null |
venv/lib64/python3.8/site-packages/tld/registry.py
|
nrfkhira/dnx-engine
|
99a326d83058bcfe54a0f455672d90637fe753c6
|
[
"MIT"
] | null | null | null |
venv/lib64/python3.8/site-packages/tld/registry.py
|
nrfkhira/dnx-engine
|
99a326d83058bcfe54a0f455672d90637fe753c6
|
[
"MIT"
] | null | null | null |
import warnings
from .base import Registry
__author__ = "Artur Barseghyan"
__copyright__ = "2013-2021 Artur Barseghyan"
__license__ = "MPL-1.1 OR GPL-2.0-only OR LGPL-2.1-or-later"
__all__ = ("Registry",)
warnings.warn(
"The `Registry` class is moved from `tld.registry` to `tld.base`.",
DeprecationWarning,
)
| 24.615385 | 71 | 0.721875 |
26dc6cf0e3afad0c2ebf41ec4b792f1e330897c5
| 2,963 |
py
|
Python
|
hvo_api/model/gps.py
|
wtollett-usgs/hvo_api
|
cdd39cb74d28a931cac4b843a71c5d8435f4620c
|
[
"CC0-1.0"
] | null | null | null |
hvo_api/model/gps.py
|
wtollett-usgs/hvo_api
|
cdd39cb74d28a931cac4b843a71c5d8435f4620c
|
[
"CC0-1.0"
] | null | null | null |
hvo_api/model/gps.py
|
wtollett-usgs/hvo_api
|
cdd39cb74d28a931cac4b843a71c5d8435f4620c
|
[
"CC0-1.0"
] | null | null | null |
# -*- coding: utf-8 -*-
from valverest.database import db7 as db
from sqlalchemy.ext.hybrid import hybrid_property
| 22.44697 | 79 | 0.59838 |
26ddb52d2be72d7d4dbeca2609c7ac5ce525625e
| 2,091 |
py
|
Python
|
SingleIRdetection/get_data.py
|
biqute/QTLab2122
|
4d53d4c660bb5931615d8652e698f6d689a4dead
|
[
"MIT"
] | 3 |
2021-11-30T18:41:11.000Z
|
2021-12-12T12:27:14.000Z
|
SingleIRdetection/get_data.py
|
biqute/QTLab2122
|
4d53d4c660bb5931615d8652e698f6d689a4dead
|
[
"MIT"
] | null | null | null |
SingleIRdetection/get_data.py
|
biqute/QTLab2122
|
4d53d4c660bb5931615d8652e698f6d689a4dead
|
[
"MIT"
] | null | null | null |
from instruments import VNA_handler, Fridge_handler
import os
import time
from datetime import date, datetime
today = date.today()
d1 = today.strftime("_%d_%m")
directory = "data"+d1
dir_path=os.path.join(os.path.dirname(os.path.abspath(__file__)),directory)
if not os.path.isdir(dir_path):
try:
os.mkdir(directory)
except:
pass
VNA_lab=VNA_handler()
Fridge=Fridge_handler()
temps=[]
freqs1=[]
freqs2=[]
r = Fridge.execute("C3")
file_log = open(directory + "\\log.txt", "w")
with open('temperatures_gap.txt', encoding='utf-8') as file:
for line in file:
line = line.replace('\n', '')
temps.append(int(line))
with open('frequency_ranges_gap_1.txt', encoding='utf-8') as file:
for line in file:
line = line.replace('\n', '')
splitted = [float(x) for x in line.split('\t')]
freqs1.append(splitted)
with open('frequency_ranges_gap_2.txt', encoding='utf-8') as file:
for line in file:
line = line.replace('\n', '')
splitted = [float(x) for x in line.split('\t')]
freqs2.append(splitted)
for T in temps:
try:
print("Set temp: " + str(T))
print(f"{datetime.now():%H:%M:%S}\tsens_1:{Fridge.get_T(1)}\tsens_2:{Fridge.get_T(2)}\tsens_3:{Fridge.get_T(3)}\tG1: {Fridge.get_T(14)}\tG2: {Fridge.get_T(15)}")
log_sensori()
time.sleep(10)
Fridge.wait_for_T(T)
if T >= 200:
freqs = freqs2
else:
freqs = freqs1
for idx,f in enumerate(freqs):
file_name=str(T)+'mK_range'+str(idx+1)+'.txt'
print("Set freqs: " + str(f[0]) + " - "+ str(f[1]))
VNA_lab.set_sweep_freq(f[0],f[1])
VNA_lab.inst.write('AVERREST;')
time.sleep(40)
VNA_lab.save_sweep_data(directory + '\\' + file_name, 'polar')
except:
pass
log_sensori()
Fridge.set_T(0)
log_sensori()
file_log.close()
| 27.155844 | 169 | 0.595887 |
26ddc48f78a12f6195556b4fffb431166aa3a248
| 1,356 |
py
|
Python
|
repos.py
|
gigamonkey/git-utils
|
ac26ccab836b276fb7061167b4b2dc2a6bd87e66
|
[
"BSD-3-Clause"
] | null | null | null |
repos.py
|
gigamonkey/git-utils
|
ac26ccab836b276fb7061167b4b2dc2a6bd87e66
|
[
"BSD-3-Clause"
] | 1 |
2021-05-04T19:45:16.000Z
|
2021-05-04T19:45:16.000Z
|
repos.py
|
gigamonkey/git-utils
|
ac26ccab836b276fb7061167b4b2dc2a6bd87e66
|
[
"BSD-3-Clause"
] | null | null | null |
#!/usr/bin/env python3
"""
Get a json dump of all the repos belonging to a GitHub org or user.
"""
import json
import os
import sys
from functools import reduce
import requests
url = "https://api.github.com/graphql"
token = os.environ["GITHUB_TOKEN"]
headers = {"Authorization": "bearer {}".format(token)}
FIELDS = [
"name",
"description",
"sshUrl",
"isArchived",
"isFork",
"isPrivate",
"pushedAt",
]
if __name__ == "__main__":
who = sys.argv[1]
edges = True
after = None
while edges:
r = requests.post(url, json={"query": query(who, after)}, headers=headers)
edges = json.loads(r.text)["data"]["organization"]["repositories"]["edges"]
for e in edges:
print(json.dumps(node(e)))
after = edges[-1]["cursor"]
| 22.229508 | 153 | 0.597345 |
26def15c65ab2e4480b9091dca33bf04179a4722
| 3,705 |
py
|
Python
|
test_package/conanfile.py
|
sintef-ocean/conan-casadi
|
70a14829ca3b3ec4cdff8b254e3c060b345c1e79
|
[
"MIT"
] | null | null | null |
test_package/conanfile.py
|
sintef-ocean/conan-casadi
|
70a14829ca3b3ec4cdff8b254e3c060b345c1e79
|
[
"MIT"
] | null | null | null |
test_package/conanfile.py
|
sintef-ocean/conan-casadi
|
70a14829ca3b3ec4cdff8b254e3c060b345c1e79
|
[
"MIT"
] | null | null | null |
from conans import ConanFile, CMake, tools, RunEnvironment
| 42.102273 | 88 | 0.612146 |
26e0374db2378f11fc9bfc31927fa2a8ccdcf58c
| 1,995 |
py
|
Python
|
src/blog/templatetags/timediffer.py
|
codewithrakib/first-django-blog
|
339f5833025b0758f391c7c8e0979ca2eefd1b52
|
[
"MIT"
] | null | null | null |
src/blog/templatetags/timediffer.py
|
codewithrakib/first-django-blog
|
339f5833025b0758f391c7c8e0979ca2eefd1b52
|
[
"MIT"
] | 7 |
2021-03-19T02:00:00.000Z
|
2022-02-10T10:26:38.000Z
|
src/blog/templatetags/timediffer.py
|
codewithrakib/first-django-blog
|
339f5833025b0758f391c7c8e0979ca2eefd1b52
|
[
"MIT"
] | null | null | null |
from django import template
from datetime import datetime
from datetime import date
from datetime import time
from datetime import timedelta
register = template.Library()
| 30.227273 | 56 | 0.578947 |
26e08af32bb2b5d0bbed9fd354924f064bde0ecf
| 254 |
py
|
Python
|
ma.py
|
AmandaKhol/DLT-Blockchain
|
ee464b0d7b55bffe791eb0b814513620430bfa1c
|
[
"MIT"
] | 1 |
2021-04-05T18:59:04.000Z
|
2021-04-05T18:59:04.000Z
|
ma.py
|
AmandaKhol/DLT-Blockchain
|
ee464b0d7b55bffe791eb0b814513620430bfa1c
|
[
"MIT"
] | null | null | null |
ma.py
|
AmandaKhol/DLT-Blockchain
|
ee464b0d7b55bffe791eb0b814513620430bfa1c
|
[
"MIT"
] | null | null | null |
"""
title : ma.py
description : Marshmallow object
author : Amanda Garcia-Garcia
version : 0
usage : python server_api.py
python_version : 3.6.1
"""
from flask_marshmallow import Marshmallow
ma = Marshmallow()
| 19.538462 | 41 | 0.629921 |
26e3cb56bf5c43ffe1ebc53ce33bf565445ae974
| 6,107 |
py
|
Python
|
FGMabiotic.py
|
tjscott214/long-term-conflict-with-1nFGM
|
1c701e83c71ebe21fbc1192ca3d523a000614819
|
[
"MIT"
] | 2 |
2019-09-13T13:46:33.000Z
|
2020-05-14T17:21:09.000Z
|
FGMabiotic.py
|
tjscott214/long-term-conflict-with-1nFGM
|
1c701e83c71ebe21fbc1192ca3d523a000614819
|
[
"MIT"
] | null | null | null |
FGMabiotic.py
|
tjscott214/long-term-conflict-with-1nFGM
|
1c701e83c71ebe21fbc1192ca3d523a000614819
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
### This program simulates Fisher's geometric model with abiotic change equal to fixations during conflict simulations (from FGMconflict.py) ###
### python3 FGMabiotic.py -help for input options ###
### Written by Trey J Scott 2018 ###
### python --version ###
### Python 3.5.2 :: Anaconda 4.2.0 (x86_64) ###
# Import programs
import random
import numpy as np
from scipy.spatial import distance as dist
from scipy.stats import norm
import scipy.stats as stats
import matplotlib.pyplot as plt
import pandas as pd
import argparse
import scipy.special as spc
from itertools import groupby
### FUNCTIONS ###
# Function to generate random mutations with a specified average size
# Gaussian fitness function
# Calculates probability of fixation for new mutations
# Functon that simulates adaptation to a moving optimum with Fisher's geometric model
# Runs simulations multiple times
### SET ARGUMENTS
ap = argparse.ArgumentParser()
ap.add_argument('-x', '--samples', help = 'number of resamples', type = int)
ap.add_argument('-p', '--population_size1', help = 'population size for one population', type = int)
ap.add_argument('-pp', '--population_size2', help = 'population size for second population', type = int)
ap.add_argument('-m', '--mutations', help = 'mutation distribution for mutation vectors')
ap.add_argument('-q', '--Q', help = 'changes Q parameter in fitness function', type = float)
ap.add_argument('-z', '--attempts', help = 'number of generations per walk', type = int)
ap.add_argument('-c', '--init_fit', help = 'changes the distance optimal values by a factor of the input value', type = float)
ap.add_argument('-r', '--rate', help = 'mutation rate for population 1', type = int)
ap.add_argument('-b', '--burn_in', help = 'define burn in period for equilibrium', type = int)
ap.add_argument('-a', '--ave_mut', help = 'average mutation norm', type = float)
ap.add_argument('-d', '--selection', help = 'Adjust strength of selection', type = float)
ap.add_argument('-mut', '--changes', help = 'mutation file for moving optimum', type = str)
args = ap.parse_args()
# get arguments
if args.samples:
samples = args.samples
else:
samples = 500
# Define initial position and optima
position1 = np.zeros(1)
position = position1
position2 = position1
if args.init_fit:
r = 1-args.init_fit
else:
r = 1-0.2
# Set average norm size for mutations
if args.ave_mut:
average_mutation = args.ave_mut
else:
average_mutation = 0.1
# Get population sizes
# Population 1
if args.population_size1:
N_1 = 10**(args.population_size1)
else:
N_1 = 'infinite'
# Population 2
if args.population_size2:
N_2 = 10**(args.population_size2)
else:
N_2 = 'infinite'
# Get distributions
# Mutation distribution (default is uniform)
if args.mutations:
distribution = args.mutations
else:
distribution = 'normal'
# Number of mutations
if args.attempts:
m = args.attempts
else:
m = 50000
# Get mutation rate
if args.rate:
rate = args.rate
else:
rate = 1
# Calculate normalization factor (used in mutation function)
sd_1d = average_mutation*((np.pi)**(1/2))/(2**(1/2))
uni = 2*average_mutation
expo = average_mutation
if args.burn_in:
burn_in = args.burn_in
else:
burn_in = 0
if args.Q:
Q = args.Q
q_string = 'Q_' + str(Q) + '_'
else:
Q = 2
q_string = ''
if args.selection:
d1 = args.selection
else:
d1 = 0.5
if args.changes:
shake_file = args.changes[:-7] + 'mut.csv'
# Open output file
output = open('abiotic_data.csv', 'w')
output.write('Iteration,Simulation,z,s,Mutation Size,Fitness,Population,Status\n')
### Run simulations
run_simulations(position, samples)
| 34.117318 | 192 | 0.7159 |
26e5678c410804c82e1a66c1a1c30cc2e8b118d5
| 873 |
py
|
Python
|
epdif.py
|
cvasqxz/rpi-epd
|
b7921190dd84b1187364902f0e3059cba5a1973f
|
[
"MIT"
] | null | null | null |
epdif.py
|
cvasqxz/rpi-epd
|
b7921190dd84b1187364902f0e3059cba5a1973f
|
[
"MIT"
] | null | null | null |
epdif.py
|
cvasqxz/rpi-epd
|
b7921190dd84b1187364902f0e3059cba5a1973f
|
[
"MIT"
] | null | null | null |
import spidev
import RPi.GPIO as GPIO
import time
import yaml
with open("config.yml", 'r') as f:
cfg = yaml.load(f, Loader=yaml.FullLoader)
# Pin definition
RST_PIN = cfg['pinout']['RST_PIN']
DC_PIN = cfg['pinout']['DC_PIN']
CS_PIN = cfg['pinout']['CS_PIN']
BUSY_PIN = cfg['pinout']['BUSY_PIN']
# SPI device, bus = 0, device = 0
SPI = spidev.SpiDev(0, 0)
| 21.292683 | 46 | 0.683849 |
26e616bae86ed51b35013c799f67005f184552f2
| 2,469 |
py
|
Python
|
main.py
|
amankumarjsr/BinanceDataScrapper
|
e3d56c4bd274a8e472de1fbe1c9603c9e94e1d14
|
[
"Apache-2.0"
] | null | null | null |
main.py
|
amankumarjsr/BinanceDataScrapper
|
e3d56c4bd274a8e472de1fbe1c9603c9e94e1d14
|
[
"Apache-2.0"
] | null | null | null |
main.py
|
amankumarjsr/BinanceDataScrapper
|
e3d56c4bd274a8e472de1fbe1c9603c9e94e1d14
|
[
"Apache-2.0"
] | null | null | null |
from datetime import date
from unicodedata import name
from urllib import request
import requests
from bs4 import BeautifulSoup as bs
import pandas as pd
import datetime
import os
import zipfile
import glob
CoinName= input('Enter the coin name: ').upper()
duration= input('Enter the duration of data you want(1m,1h,2h): ').lower()
start_date= input ('Enter the date (dd-mm-yyyy): ')
end_date= input('Enter the end date (dd-mm-yyyy): ')
coin= requests.get('https://data.binance.vision/?prefix=data/spot/daily/klines/')
ucoin= bs(coin.content , 'html.parser')
start = datetime.datetime.strptime(start_date, "%d-%m-%Y")
end = datetime.datetime.strptime(end_date, "%d-%m-%Y")
date_generated = [start + datetime.timedelta(days=x) for x in range(0, (end-start).days)]
date_list=[]
for date in date_generated:
x=date.strftime("%Y-%m-%d")
date_list.append(x)
file_name_list= []
cols=['opening time', 'opening price','highest price','lowest price','closing price','volume','closing time','turnover','number of transactions','active buy volume','NA','NAN']
for item in date_list:
try:
file_name=(f'{CoinName}-{duration}-{item}.zip')
download_mainurl= (f'https://data.binance.vision/data/spot/daily/klines/{CoinName}/{duration}/{CoinName}-{duration}-{item}.zip')
download= requests.get(download_mainurl, allow_redirects= True)
print(f'Scrapping data of {item} ')
with open(file_name, 'wb') as f:
f.write(download.content)
with zipfile.ZipFile(file_name, 'r') as zip_ref:
zip_ref.extractall('C:/Users/rocka/Desktop/Practice python/Binance data scrapper/data')
file_name_list.append(file_name+'.csv')
os.remove(file_name)
except:
print('skipped')
continue
master_df= pd.DataFrame()
for file in os.listdir('C:/Users/rocka/Desktop/Practice python/Binance data scrapper/data'):
if file.endswith('.csv'):
master_df= master_df.append(pd.read_csv('C:/Users/rocka/Desktop/Practice python/Binance data scrapper/data/'+file, names= cols))
master_df.to_csv(f'{CoinName}-{duration}-master file.csv', index=False)
for file in os.listdir('C:/Users/rocka/Desktop/Practice python/Binance data scrapper/data'):
if file.endswith('.csv'):
os.remove('C:/Users/rocka/Desktop/Practice python/Binance data scrapper/data/'+file)
print('Data Scrapped sucessfully!!!')
| 34.291667 | 177 | 0.681247 |
26e61f306df9220c42f34738c067514777287317
| 19,370 |
py
|
Python
|
api/api.py
|
geoai-lab/GeoAnnotator
|
6d5ee22888571f5ffefdb1d2f2455eaa9e5054f3
|
[
"MIT"
] | 1 |
2022-02-14T20:43:41.000Z
|
2022-02-14T20:43:41.000Z
|
api/api.py
|
geoai-lab/GeoAnnotator
|
6d5ee22888571f5ffefdb1d2f2455eaa9e5054f3
|
[
"MIT"
] | null | null | null |
api/api.py
|
geoai-lab/GeoAnnotator
|
6d5ee22888571f5ffefdb1d2f2455eaa9e5054f3
|
[
"MIT"
] | null | null | null |
from flask import Flask, jsonify, request, session,redirect, url_for
import bcrypt
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy.sql import func
from sqlalchemy.exc import IntegrityError
import os
from sqlalchemy.orm import load_only
from flask_bcrypt import Bcrypt
import urllib.parse
from itertools import groupby
from operator import attrgetter
import json
from flask_cors import CORS, cross_origin
from flask_session import Session
import redis
from werkzeug.utils import secure_filename
from datetime import datetime, timedelta, timezone
from models import db, tweet_database, User, LoginForm, Project, Submission, CompareSubmission
from dotenv import load_dotenv
from flask_login import LoginManager, login_required, login_user, current_user, logout_user
from sqlalchemy.orm import sessionmaker
import pandas as pd
import requests
from sqlalchemy.types import String, DateTime
import io
load_dotenv()
app = Flask(__name__,static_folder="../build", static_url_path='/')#
app.config["SQLALCHEMY_DATABASE_URI"] = "sqlite:///HarveyTwitter.db"
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = True
app.config["SECRET_KEY"] = "6236413AA53537DE57D1F6931653B"
app.config['SQLALCHEMY_ECHO'] = True
app.config['SESSION_TYPE'] = "filesystem" # causes bugs right here this needs to be in redis soon need to download reddis and do some reddis cli stuff
app.config['SESSION_USE_SIGNER'] = True
#app.config['SESSION_COOKIE_NAME']
#app.config['SESSION_COOKIE_DOMAIN]
#app.config['SESSIO N_COOKies]
#app.config['SESSION_COOKIE_SECURE'] = True # add this to make the cookies invisible or something
bcrypt = Bcrypt(app) # this is encyrpt the app
CORS(app, supports_credentials=True)
server_session = Session(app)
db.__init__(app)
with app.app_context():
db.create_all()
login_manager = LoginManager()
login_manager.init_app(app)
with app.app_context():
# before intialization of the app, commands under here are ran first
# Replace with the commented when running the command gunicorn3 -w 3 GeoAnnotator.api:app
optionsData = jsonify(json.load(open('../../createProjectOptions.json'))) # 'GeoAnnotator/api/createProjectOptions.json'
configurationsData = json.load(open('../../configuration_data.json')) # 'GeoAnnotator/api/configuration_data.json'
if __name__ == '__main__':
app.run(host='0.0.0.0')
| 40.10352 | 257 | 0.663087 |
26e97e5ea8220154eb41374939938275b9e537b0
| 741 |
py
|
Python
|
AppPython/app/core/src/forms.py
|
denalme/AplicacionPython
|
eb99af3c21f003135192ad040a0a04a40b63ea70
|
[
"MIT"
] | null | null | null |
AppPython/app/core/src/forms.py
|
denalme/AplicacionPython
|
eb99af3c21f003135192ad040a0a04a40b63ea70
|
[
"MIT"
] | null | null | null |
AppPython/app/core/src/forms.py
|
denalme/AplicacionPython
|
eb99af3c21f003135192ad040a0a04a40b63ea70
|
[
"MIT"
] | null | null | null |
from django import forms
from .pqrsf import pqrsf
| 74.1 | 167 | 0.747638 |
26ec29318bc12813be99da269d94707649d0104c
| 3,244 |
py
|
Python
|
prisma/generated/models.py
|
mao-shonen/prisma-client-py-tortoise-orm
|
e26d8451ea0775bd7ddfec42f663510434537a77
|
[
"MIT"
] | null | null | null |
prisma/generated/models.py
|
mao-shonen/prisma-client-py-tortoise-orm
|
e26d8451ea0775bd7ddfec42f663510434537a77
|
[
"MIT"
] | null | null | null |
prisma/generated/models.py
|
mao-shonen/prisma-client-py-tortoise-orm
|
e26d8451ea0775bd7ddfec42f663510434537a77
|
[
"MIT"
] | null | null | null |
__doc__ = '''
This file is generated by the `prisma-client-py-tortoise-orm (0.2.2)`,
Please do not modify directly.
repository: https://github.com/mao-shonen/prisma-client-py-tortoise-orm
'''
import typing
from enum import Enum
from tortoise import fields
from tortoise.models import Model
from prisma import base as base
__all__ = ['Role', 'User', 'Post', 'Group']
| 30.317757 | 203 | 0.633785 |
26ed69ff9590d721e4368e521015afe41d5f9df5
| 2,536 |
py
|
Python
|
samples/people_on_stairs/classify_overspeeding/classify_overspeeding.py
|
vgvoleg/gst-video-analytics
|
7e4006551f38334bc59b2ef3d205273d07d40ce4
|
[
"MIT"
] | null | null | null |
samples/people_on_stairs/classify_overspeeding/classify_overspeeding.py
|
vgvoleg/gst-video-analytics
|
7e4006551f38334bc59b2ef3d205273d07d40ce4
|
[
"MIT"
] | null | null | null |
samples/people_on_stairs/classify_overspeeding/classify_overspeeding.py
|
vgvoleg/gst-video-analytics
|
7e4006551f38334bc59b2ef3d205273d07d40ce4
|
[
"MIT"
] | 1 |
2020-05-14T15:30:03.000Z
|
2020-05-14T15:30:03.000Z
|
from os.path import join, realpath
from os import listdir, environ
import shlex
import subprocess
import pickle
import json
import pickle as pkl
import time
import numpy as np
from copy import copy
MODEL_PATH = ("/root/Projects/models/intel/person-detection-retail-0013/FP32"
"/person-detection-retail-0013.xml")
DATASET_PATH = "/root/Projects/train/"
ALPHA = 0.1
ALPHA_HW = 0.01
RES_PATH = ("/root/Projects/gst-video-analytics-0.7.0/samples/"
"people_on_stairs/classify_overspeeding/res.json")
SVM_PATH = '/root/Projects/models/overspeed_classify/SVM_Classifier_without_interval.sav'
CLASSIFY_PIPELINE_TEMPLATE = """gst-launch-1.0 filesrc \
location={} \
! decodebin ! videoconvert ! video/x-raw,format=BGRx ! gvadetect \
model={} ! queue \
! gvaspeedometer alpha={} alpha-hw={} interval=0.03333333 \
! gvapython module={} class=OverspeedClassifier arg=[\\"{}\\"] \
! fakesink sync=false"""
if __name__ == "__main__":
svclassifier = pickle.load(open(SVM_PATH, 'rb'))
for file_name in listdir(DATASET_PATH):
if file_name.endswith(".mp4"):
video_path = join(DATASET_PATH, file_name)
pipeline_str = CLASSIFY_PIPELINE_TEMPLATE.format(
video_path,
MODEL_PATH,
ALPHA,
ALPHA_HW,
realpath(__file__),
join(DATASET_PATH, file_name.replace('.mp4', '.json'))
)
print(pipeline_str)
proc = subprocess.run(
shlex.split(pipeline_str), env=environ.copy())
if proc.returncode != 0:
print("Error while running pipeline")
exit(-1)
| 32.101266 | 89 | 0.615536 |
26f0496f5cee5563d72ece3864af6c3cc42f430c
| 2,883 |
py
|
Python
|
indicators/migrations/0035_make_indicators_programs_foreignkey.py
|
mercycorps/TolaWorkflow
|
59542132fafd611081adb0e8cfaa04abc5886d7a
|
[
"Apache-2.0"
] | null | null | null |
indicators/migrations/0035_make_indicators_programs_foreignkey.py
|
mercycorps/TolaWorkflow
|
59542132fafd611081adb0e8cfaa04abc5886d7a
|
[
"Apache-2.0"
] | 268 |
2020-03-31T15:46:59.000Z
|
2022-03-31T18:01:08.000Z
|
indicators/migrations/0035_make_indicators_programs_foreignkey.py
|
Falliatcom-sa/falliatcom
|
39fb926de072c296ed32d50cccfb8003ca870739
|
[
"Apache-2.0"
] | 1 |
2021-01-05T01:58:24.000Z
|
2021-01-05T01:58:24.000Z
|
# -*- coding: utf-8 -*-
# Generated by Django 1.11.2 on 2018-11-06 08:34
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
| 36.493671 | 105 | 0.622962 |
26f1b913f1ee12f1e92139c51f5d8c9e44276d06
| 4,335 |
py
|
Python
|
pymockserver/client.py
|
MXWest/py-mockserver
|
cd0783aac2e5c1b8a021c29a4c70ef5414b7f7cc
|
[
"MIT"
] | 3 |
2018-06-14T19:44:05.000Z
|
2020-12-14T04:33:21.000Z
|
pymockserver/client.py
|
MXWest/py-mockserver
|
cd0783aac2e5c1b8a021c29a4c70ef5414b7f7cc
|
[
"MIT"
] | 4 |
2020-02-01T16:20:18.000Z
|
2021-03-23T14:43:54.000Z
|
pymockserver/client.py
|
MXWest/py-mockserver
|
cd0783aac2e5c1b8a021c29a4c70ef5414b7f7cc
|
[
"MIT"
] | 2 |
2020-02-01T16:25:50.000Z
|
2021-03-23T13:06:25.000Z
|
import requests
import json
from urllib3.exceptions import HTTPError
| 29.290541 | 90 | 0.514418 |
26f481dfc45ad24d352172f8f79006991163fc28
| 5,277 |
py
|
Python
|
workflow/executors/validation_tasks.py
|
mettadatalabs1/oncoscape-datapipeline
|
9c3209ba88831c3f1c598182c719ce45b4724fff
|
[
"Apache-2.0"
] | null | null | null |
workflow/executors/validation_tasks.py
|
mettadatalabs1/oncoscape-datapipeline
|
9c3209ba88831c3f1c598182c719ce45b4724fff
|
[
"Apache-2.0"
] | null | null | null |
workflow/executors/validation_tasks.py
|
mettadatalabs1/oncoscape-datapipeline
|
9c3209ba88831c3f1c598182c719ce45b4724fff
|
[
"Apache-2.0"
] | null | null | null |
from validators.validation_configurator import ValidationConfigurator
from pipeline.models import InputFile
| 49.783019 | 83 | 0.617965 |
26f602e46a5eecf3c443505b6bc8ba0c321a760e
| 1,290 |
py
|
Python
|
pytglib/api/types/input_message_video_note.py
|
iTeam-co/pytglib
|
e5e75e0a85f89b77762209b32a61b0a883c0ae61
|
[
"MIT"
] | 6 |
2019-10-30T08:57:27.000Z
|
2021-02-08T14:17:43.000Z
|
pytglib/api/types/input_message_video_note.py
|
iTeam-co/python-telegram
|
e5e75e0a85f89b77762209b32a61b0a883c0ae61
|
[
"MIT"
] | 1 |
2021-08-19T05:44:10.000Z
|
2021-08-19T07:14:56.000Z
|
pytglib/api/types/input_message_video_note.py
|
iTeam-co/python-telegram
|
e5e75e0a85f89b77762209b32a61b0a883c0ae61
|
[
"MIT"
] | 5 |
2019-12-04T05:30:39.000Z
|
2021-05-21T18:23:32.000Z
|
from ..utils import Object
| 28.666667 | 77 | 0.615504 |
26f6c233aae91fb0635319c24ac7a5452088a65f
| 520 |
py
|
Python
|
gdc_readgroups/exceptions.py
|
NCI-GDC/gdc-readgroups
|
874387bb3473b0a0680551339e50b072cc058eb6
|
[
"Apache-2.0"
] | null | null | null |
gdc_readgroups/exceptions.py
|
NCI-GDC/gdc-readgroups
|
874387bb3473b0a0680551339e50b072cc058eb6
|
[
"Apache-2.0"
] | null | null | null |
gdc_readgroups/exceptions.py
|
NCI-GDC/gdc-readgroups
|
874387bb3473b0a0680551339e50b072cc058eb6
|
[
"Apache-2.0"
] | 1 |
2020-01-23T22:07:10.000Z
|
2020-01-23T22:07:10.000Z
|
"""
Exceptions for Read Group headers
"""
| 20.8 | 43 | 0.746154 |
26f984eeef056e7ffe65f198d0e3689278e5fc57
| 2,098 |
py
|
Python
|
aiida_logger/calculations/test_calculations.py
|
SINTEF/aiida-logger
|
d97aced2ec8967cb359f488d2218cc3b47c92f6b
|
[
"MIT"
] | null | null | null |
aiida_logger/calculations/test_calculations.py
|
SINTEF/aiida-logger
|
d97aced2ec8967cb359f488d2218cc3b47c92f6b
|
[
"MIT"
] | null | null | null |
aiida_logger/calculations/test_calculations.py
|
SINTEF/aiida-logger
|
d97aced2ec8967cb359f488d2218cc3b47c92f6b
|
[
"MIT"
] | null | null | null |
"""
Tests for calculations.
"""
from __future__ import print_function
from __future__ import absolute_import
import os
import numpy as np
def test_process(logger_code):
"""
Test running a calculation.
Also checks its outputs.
"""
from aiida.plugins import DataFactory, CalculationFactory
from aiida.engine import run
from aiida.common.extendeddicts import AttributeDict
from aiida_logger.tests import TEST_DIR # pylint: disable=wrong-import-position
# Prepare input parameters
parameters = AttributeDict()
parameters.comment_string = '#'
parameters.labels = True
# Define input files to use
SinglefileData = DataFactory('singlefile')
datafile = SinglefileData(
file=os.path.join(TEST_DIR, 'input_files', 'datafile'))
# Set up calculation
inputs = {
'code': logger_code,
'parameters': DataFactory('dict')(dict=parameters),
'datafiles': {
'datafile': datafile
},
'metadata': {
'options': {
'resources': {
'num_machines': 1,
'num_mpiprocs_per_machine': 1
},
'parser_name': 'logger',
'withmpi': False,
'output_filename': 'logger.out'
},
'description': 'Test job submission with the aiida_logger plugin'
},
}
result = run(CalculationFactory('logger'), **inputs)
assert 'data' in result
assert 'metadata' in result
data = result['data']
metadata = result['metadata']
metadata = metadata.get_dict()
assert 'labels' in metadata
assert 'comments' in metadata
assert metadata['labels'] == ['time', 'param1', 'param2', 'param3']
assert metadata['comments'][0] == '# This is an example file'
test_array = np.array([[1.0e+00, 3.0e+00, 4.0e+00, 5.0e+00],
[2.0e+00, 4.0e+00, 5.7e+00, -1.0e-01],
[3.0e+00, 1.0e-03, 1.0e+03, 8.0e-01]])
np.testing.assert_allclose(data.get_array('content'), test_array)
| 29.138889 | 84 | 0.594376 |
26fd4d122991c7a14eaad9bffe766e315791616a
| 90 |
py
|
Python
|
root/ilikeit/MySQLCrashCourse/dbcom/tests/__init__.py
|
ChyiYaqing/chyidlTutorial
|
77e7f6f84f21537a58a8a8a42e31cf2e3dd31996
|
[
"MIT"
] | 5 |
2018-10-17T05:57:39.000Z
|
2021-07-05T15:38:24.000Z
|
root/ilikeit/MySQLCrashCourse/dbcom/tests/__init__.py
|
ChyiYaqing/chyidlTutorial
|
77e7f6f84f21537a58a8a8a42e31cf2e3dd31996
|
[
"MIT"
] | 2 |
2021-04-14T00:48:43.000Z
|
2021-04-14T02:20:50.000Z
|
root/ilikeit/MySQLCrashCourse/dbcom/tests/__init__.py
|
ChyiYaqing/chyidlTutorial
|
77e7f6f84f21537a58a8a8a42e31cf2e3dd31996
|
[
"MIT"
] | 3 |
2019-03-02T14:36:19.000Z
|
2022-03-18T10:12:09.000Z
|
#!/usr/bin/env python3
# -*- coding:utf-8 -*-
"""Requests test package initialisation."""
| 22.5 | 43 | 0.655556 |
26fdabbca3431190e788d02f52c14a320298b8ac
| 9,425 |
py
|
Python
|
discopy/components/sense/explicit/bert_conn_sense.py
|
rknaebel/discopy
|
5507d656987af2df9e595434a82c0a12bbc713e4
|
[
"MIT"
] | 14 |
2019-04-14T16:10:23.000Z
|
2022-03-09T14:56:10.000Z
|
discopy/components/sense/explicit/bert_conn_sense.py
|
rknaebel/discopy
|
5507d656987af2df9e595434a82c0a12bbc713e4
|
[
"MIT"
] | 15 |
2019-04-15T16:44:40.000Z
|
2021-11-23T17:36:41.000Z
|
discopy/components/sense/explicit/bert_conn_sense.py
|
rknaebel/discopy
|
5507d656987af2df9e595434a82c0a12bbc713e4
|
[
"MIT"
] | 1 |
2020-02-28T23:36:35.000Z
|
2020-02-28T23:36:35.000Z
|
import json
import logging
import os
from typing import List, Dict
import click
import numpy as np
import tensorflow as tf
from sklearn.metrics import cohen_kappa_score, precision_recall_fscore_support, accuracy_score
from tqdm import tqdm
from discopy.components.component import Component
from discopy.components.connective.base import get_connective_candidates
from discopy.evaluate.conll import evaluate_docs, print_results
from discopy.utils import init_logger
from discopy_data.data.doc import Document
from discopy_data.data.loaders.conll import load_bert_conll_dataset
from discopy_data.data.relation import Relation
logger = logging.getLogger('discopy')
if __name__ == "__main__":
main()
| 44.042056 | 119 | 0.634589 |
f8053be6ee69e87199ea558062ed1fe681dca092
| 361 |
py
|
Python
|
busshaming/models/agency.py
|
katharosada/busshaming
|
c8d7cd4baf9ff049cda49c92da4d5ca10f68e6a9
|
[
"MIT"
] | 42 |
2018-01-20T01:12:25.000Z
|
2022-02-02T01:40:17.000Z
|
busshaming/models/agency.py
|
katharosada/busshaming
|
c8d7cd4baf9ff049cda49c92da4d5ca10f68e6a9
|
[
"MIT"
] | 2 |
2018-01-24T03:58:17.000Z
|
2018-06-10T01:05:57.000Z
|
busshaming/models/agency.py
|
katharosada/busshaming
|
c8d7cd4baf9ff049cda49c92da4d5ca10f68e6a9
|
[
"MIT"
] | 7 |
2018-01-24T05:49:13.000Z
|
2018-12-03T08:47:43.000Z
|
from django.db import models
| 25.785714 | 72 | 0.67867 |
f805d1c83458a20d7c8be553923b41b8d8630a7f
| 328 |
py
|
Python
|
sqltask/base/dq.py
|
mjalo/sqltask
|
f6eefd624614a464ae5697ac61405416244518e2
|
[
"MIT"
] | 10 |
2019-10-09T15:34:13.000Z
|
2022-02-21T07:44:03.000Z
|
sqltask/base/dq.py
|
mjalo/sqltask
|
f6eefd624614a464ae5697ac61405416244518e2
|
[
"MIT"
] | 23 |
2019-10-09T15:20:01.000Z
|
2020-02-08T11:51:24.000Z
|
sqltask/base/dq.py
|
mjalo/sqltask
|
f6eefd624614a464ae5697ac61405416244518e2
|
[
"MIT"
] | 4 |
2019-10-09T15:20:51.000Z
|
2020-02-11T08:43:03.000Z
|
from enum import Enum
| 15.619048 | 27 | 0.618902 |
f80628afca18060801db523544822b454ace8ecb
| 2,386 |
py
|
Python
|
main.py
|
deadpoool69/MediCare
|
eb45149dd14dc3792ef3ea724c61d46a29718068
|
[
"MIT"
] | null | null | null |
main.py
|
deadpoool69/MediCare
|
eb45149dd14dc3792ef3ea724c61d46a29718068
|
[
"MIT"
] | null | null | null |
main.py
|
deadpoool69/MediCare
|
eb45149dd14dc3792ef3ea724c61d46a29718068
|
[
"MIT"
] | null | null | null |
from flask import Flask, render_template, request, url_for, redirect
from forms import *
from model import generate_recommendations, get_desc
import os
app = Flask(__name__)
SECRET_KEY = os.urandom(32)
app.config['SECRET_KEY'] = SECRET_KEY
if __name__ == '__main__':
app.run(debug=True, host='0.0.0.0')
| 38.483871 | 102 | 0.670159 |
f8065cbbdc71ae71f6d602d2671a71b28b0eea4a
| 2,057 |
py
|
Python
|
tools/draw_comparison_head_design_choices.py
|
twangnh/Calibration_mrcnn
|
e5f3076cefbe35297a403a753bb57e11503db818
|
[
"Apache-2.0"
] | 87 |
2020-07-24T01:28:39.000Z
|
2021-08-29T08:40:18.000Z
|
tools/draw_comparison_head_design_choices.py
|
twangnh/Calibration_mrcnn
|
e5f3076cefbe35297a403a753bb57e11503db818
|
[
"Apache-2.0"
] | 3 |
2020-09-27T12:59:28.000Z
|
2022-01-06T13:14:08.000Z
|
tools/draw_comparison_head_design_choices.py
|
twangnh/Calibration_mrcnn
|
e5f3076cefbe35297a403a753bb57e11503db818
|
[
"Apache-2.0"
] | 20 |
2020-09-05T04:37:19.000Z
|
2021-12-13T02:25:48.000Z
|
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
labels = ['AP on bin (0,10)', 'AP on bin (10,100)']
baseline = [0.0, 13.3]
fc2_ncm = [6.0, 18.9]
fc2 = [8.6, 22.0]
fc3_rand = [9.1, 18.8]
fc3_ft = [13.2, 23.1]
x = np.arange(len(labels)) # the label locations
width = 0.15 # the width of the bars
matplotlib.rcParams.update({'font.size': 16})
# plt.rc('ytick', labelsize=10)
fig, ax = plt.subplots()
# rects1 = ax.bar(x - width, baseline, width, label='baseline')
# rects2 = ax.bar(x - width/2, fc2_ncm, width, label='2fc_ncm')
# rects3 = ax.bar(x , baseline, fc2, label='baseline')
# rects4 = ax.bar(x + width/2, fc3_rand, width, label='2fc_ncm')
# rects5 = ax.bar(x + width, fc3_ft, width, label='baseline')
# Set position of bar on X axis
r1 = np.arange(len(labels))
r2 = [x + width for x in r1]
r3 = [x + width for x in r2]
r4 = [x + width for x in r3]
r5 = [x + width for x in r4]
# Make the plot
rects1 = ax.bar(r1, baseline, color='#7f6d5f', width=width, edgecolor='white', label='baseline')
rects2 = ax.bar(r2, fc2_ncm, color='#557f2d', width=width, edgecolor='white', label='2fc_ncm')
rects3 = ax.bar(r3, fc2, width=width, edgecolor='white', label='2fc_rand')
rects4 = ax.bar(r4, fc3_rand, width=width, edgecolor='white', label='3fc_rand')
rects5 = ax.bar(r5, fc3_ft, width=width, edgecolor='white', label='3fc_ft')
ax.set_ylim([0,25])
ax.set_xticks([0.3, 1.3])
ax.set_xticklabels(labels)
ax.legend()
def autolabel(rects):
"""Attach a text label above each bar in *rects*, displaying its height."""
for rect in rects:
height = rect.get_height()
ax.annotate('{}'.format(height),
xy=(rect.get_x() + rect.get_width() / 2, height),
xytext=(0, 3), # 3 points vertical offset
textcoords="offset points",
ha='center', va='bottom')
autolabel(rects1)
autolabel(rects2)
autolabel(rects3)
autolabel(rects4)
autolabel(rects5)
fig.tight_layout()
plt.savefig('head_design_choices.eps', format='eps', dpi=1000)
plt.show()
| 31.166667 | 96 | 0.6456 |
f807e6a714508c55a5204cce88f3927910a26a1e
| 9,916 |
py
|
Python
|
src/entry.py
|
akilmarshall/vash-2
|
5307bc414afba24b235ae0ae9b2583c33ea69b1f
|
[
"MIT"
] | null | null | null |
src/entry.py
|
akilmarshall/vash-2
|
5307bc414afba24b235ae0ae9b2583c33ea69b1f
|
[
"MIT"
] | null | null | null |
src/entry.py
|
akilmarshall/vash-2
|
5307bc414afba24b235ae0ae9b2583c33ea69b1f
|
[
"MIT"
] | null | null | null |
from datetime import datetime
from itertools import count
from tkinter import *
import tkinter.ttk as ttk
from functools import partial
from tkcalendar import DateEntry
from case import COD, CONTRIES, Case, INCIDENT, ORGANIZATION, POLICESTATION, STATES
from db import referred_other_agency
from preview import CasePreview
if __name__ == '__main__':
root = Tk()
entry = CaseEntry(root)
entry.pack()
root.mainloop()
| 38.583658 | 93 | 0.588846 |
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