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2291746376 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Author: HuHao <huhao1@cmcm.com>
Date: '2018/8/25'
Info:
"""
# 获取系统环境
import os
# 创建app实例和数据库实例
from app import create_app,db
# 获取数据据类模板
from app.models import User,Role,Post,Permission
# 使用 Manage 丰富启动参数支持，和 Shell 环境支持
from flask_script import Manager,Shell
# ... | happy-place/flasky | manage.py | manage.py | py | 3,574 | python | zh | code | 0 | github-code | 36 |
72466882663 | """
WSGI config for mintemplate project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/1.6/howto/deployment/wsgi/
"""
import os
import sys
import site
prev_sys_path = list(sys.path)
root = os.path.normpath(os.p... | kfarr2/Minimal-Template | mintemplate/wsgi.py | wsgi.py | py | 1,128 | python | en | code | 0 | github-code | 36 |
15231900014 | import sys
import io
import urllib.request
print('hi')
print('한글')
sys.stdout = io.TextIOWrapper(sys.stdout.detach(), encoding = 'utf-8')
sys.stderr = io.TextIOWrapper(sys.stderr.detach(), encoding = 'utf-8')
imgUrl = "http://blogfiles.naver.net/20130502_54/dbsgusrl77_136748336507323OOv_JPEG/%BF%B5%C8%AD_%C0%BA%B9%D... | leyuri/Crawling | Chapter2/download2-1.py | download2-1.py | py | 1,112 | python | en | code | 0 | github-code | 36 |
35797953381 | # method 1
target = int(input())
Fibs = [1, 1]
i = 2
while i < target:
Fibs.append(Fibs[i - 1] + Fibs[i - 2])
i += 1
print(Fibs[target-1])
# method 2
target = int(input())
res = 0
a, b = 1, 1
for i in range(target-1):
a,b=b,a+b
print(a)
# method 3 递归实现
def Fib(n):
return 1 if n<=2 else Fib(n-1)+Fib(n... | StevenCReal/PythonCode | PRACTICE/#6F斐波那契数列.py | #6F斐波那契数列.py | py | 356 | python | en | code | 1 | github-code | 36 |
17894243960 | import os
import time
from absl import app
from absl import flags
from absl import logging
import robustness_metrics as rm
import tensorflow as tf
import tensorflow_datasets as tfds
import uncertainty_baselines as ub
import ood_utils # local file import from baselines.cifar
import utils # local file import from basel... | google/uncertainty-baselines | baselines/cifar/mimo.py | mimo.py | py | 19,130 | python | en | code | 1,305 | github-code | 36 |
28875886668 | from __future__ import absolute_import, unicode_literals
from draftjs_exporter.dom import DOM
from draftjs_exporter.error import ExporterException
from draftjs_exporter.options import Options
class EntityException(ExporterException):
pass
class EntityState:
def __init__(self, entity_decorators, entity_map)... | mohit-n-rajput/BT-Real-Estate | venv/lib/python3.6/site-packages/draftjs_exporter/entity_state.py | entity_state.py | py | 2,098 | python | en | code | 1 | github-code | 36 |
37416138856 | import argparse
import sys
import traceback
from logging import error, warning
from typing import Dict, List, Text
from urllib.parse import urlparse
import act.api
import requests
import urllib3
from act.api.libs import cli
import act
from act.workers.libs import worker
urllib3.disable_warnings(urllib3.exceptions.In... | mnemonic-no/act-workers | act/workers/url_shorter_unpack.py | url_shorter_unpack.py | py | 4,131 | python | en | code | 6 | github-code | 36 |
17233781871 | import argparse
rows = 128 ### sliced spectrogram height
cols = 1024 ### sliced spectrogram width
channels = 2
max_width = 10337 ### maximum raw spectrogram width
split_count = 10 ### number of slices per song
epochs = 100
batch_size = 32
spectrogram_features = ['h', 'p'] ### Percussive & harmonic componen... | taprosoft/music-genre-classification | src/config.py | config.py | py | 1,525 | python | en | code | 24 | github-code | 36 |
20410429609 | import torch
from torch import Tensor, nn
from dataclasses import dataclass, field
from typing import List, Tuple
from prediction.model import PredictionModel, PredictionModelConfig
from prediction.types import Trajectories
from prediction.utils.transform import transform_using_actor_frame_gauss
from prediction.utils... | dhararya/Predicting-Car-Trajectories | prediction/modules/probabilistic_model.py | probabilistic_model.py | py | 2,483 | python | en | code | 0 | github-code | 36 |
31309911488 | import numpy as np
from sigmoid import sigmoid
def predict(Theta1, Theta2, X):
#PREDICT Predict the label of an input given a trained neural network
# p = PREDICT(Theta1, Theta2, X) outputs the predicted label of X given the
# trained weights of a neural network (Theta1, Theta2)
# Useful values
m = n... | EliottSimon17/NeuralNetwork | src/predict.py | predict.py | py | 1,502 | python | en | code | 0 | github-code | 36 |
34198323203 | import pytest
from loguru import logger
from pytest_mock import MockerFixture
from fastapi_cloud_logging.fastapi_cloud_logging_handler import FastAPILoggingHandler
@pytest.fixture
def logging_handler(mocker: MockerFixture) -> FastAPILoggingHandler:
return FastAPILoggingHandler(
mocker.Mock(), transport=m... | quoth/fastapi-cloud-logging | tests/test_loguru.py | test_loguru.py | py | 1,376 | python | en | code | 5 | github-code | 36 |
18624673274 | # Subsequence of products less than K
def subseq_product(arr, k):
n = len(arr)
product = 1
start = end = 0
result = 0
while(end < n):
product = product * arr[end]
while(start < end and product >= k):
product = product/arr[start]
start = start + 1
... | indrajitrdas/Simple-Programs | ContiguousSubArrayProductLessThanK.py | ContiguousSubArrayProductLessThanK.py | py | 593 | python | en | code | 0 | github-code | 36 |
41630548406 | import os
import torch
import numpy as np
from torch.utils.data import Dataset, DataLoader, sampler
from PIL import Image
import random
from scipy import signal
import wave
import struct
import random
class wave_spec(Dataset):
def __init__(self,root_dir,trans = None):
self.root_dir = root_dir
self.trans = tra... | devansh20la/Speech_Recognition | data_loader_spec.py | data_loader_spec.py | py | 1,324 | python | en | code | 0 | github-code | 36 |
5738397642 | """Database debug and diagnostics functions."""
import json
from typing import Any, Generator, Dict
from . import db
from . import user as usermod
from . import request as requestmod
def sprint_users(*criterions) -> Generator[str, None, None]:
"""Yields a generator whose elements are strings representing a user... | ProfessorLinstar/Gymbuddies | gymbuddies/database/debug.py | debug.py | py | 1,545 | python | en | code | 0 | github-code | 36 |
14145225992 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Feb 25 20:03:31 2020
@author: b
"""
import numpy as np
values = [1, 2.4, 234, 112, 345]
array = np.array(values)
A = np.arange(1, 10, 1).reshape(3,3)
b = np.ones((3,6))
# indexing
A[0, 1]
# Slicing
# A[debut:fin:pas, debut:fin:pas]
A[:, 0]
# Subsett... | b846/Data | 1b Numpy Indexing Slicing Masking.py | 1b Numpy Indexing Slicing Masking.py | py | 3,332 | python | fr | code | 0 | github-code | 36 |
23665407617 | # -*- coding:utf-8 -*-
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
from collections import deque
class Solution:
def isSymmetrical(self, pRoot):
if pRoot == None:
return True
queue = deque()
... | Lucky4/coding-interview | 53.py | 53.py | py | 1,758 | python | en | code | 0 | github-code | 36 |
16178101967 |
#Korean vowel combination
con_dict = [
['ㅏㅣ','ㅐ'], ['ㅑㅣ','ㅒ'], ['ㅓㅣ','ㅔ'],
['ㅕㅣ','ㅖ'], ['ㅗㅣ','ㅚ'], ['ㅗㅐ','ㅙ'],
['ㅜㅓ','ㅝ'], ['ㅜㅔ','ㅞ'], ['ㅡㅣ','ㅢ'],
['ㅣㅏ','ㅑ'], ['ㅣㅓ','ㅕ'], ['ㅣㅗ','ㅛ'],
['ㅣㅜ','ㅠ'], ['ㅡㅓ','ㅓ'], ['ㅗㅏ','ㅘ'],
]
#jongsung_list = [ 'ㄱ', 'ㄲ', 'ㄳ', 'ㄴ', 'ㄵ', 'ㄶ', 'ㄷ', 'ㄹ', 'ㄺ', 'ㄻ'... | joowhan/Translation_Project | api/src/low/dictionary.py | dictionary.py | py | 5,445 | python | ko | code | 2 | github-code | 36 |
27374508738 | # Python XML DOM Minidom
# xml.dom.minidom — Minimal DOM implementation.
# xml.dom.minidom is a minimal implementation of the Document Object Model interface, with an API similar to that in other languages.
# It is intended to be simpler than the full DOM and also significantly smaller.
# Users who are not already ... | VakinduPhilliam/Python_XML_Processing | Python_XML_DOM_Minidom_DOM_Flexibility_Example.py | Python_XML_DOM_Minidom_DOM_Flexibility_Example.py | py | 2,468 | python | en | code | 2 | github-code | 36 |
7142523944 | from llama_index import ServiceContext, VectorStoreIndex, StorageContext
from llama_index.node_parser import SentenceWindowNodeParser
from llama_index.indices.postprocessor import MetadataReplacementPostProcessor
from llama_index.indices.postprocessor import SentenceTransformerRerank
from llama_index import load_index_... | kilianovski/study | rag/utils.py | utils.py | py | 2,068 | python | en | code | 1 | github-code | 36 |
34458782519 | import numpy as np
import findiff
def curl_2d (x,y,u,v):
d_dy = findiff.FinDiff(0, y, acc=10)
d_dx = findiff.FinDiff(1, x, acc=10)
dv_dx = d_dx(v)
du_dy = d_dy(u)
curl_2d = dv_dx - du_dy
# (nul, nul, D) = Derivative_Calc.cheb_derivative(velocity)
# curl_2d = np.matmul(-v , D.transpose()) - np.matmul(D, u... | HarleyHanes/aerofusion-HarleyFork | Python/aerofusion/numerics/curl_calc.py | curl_calc.py | py | 341 | python | en | code | 0 | github-code | 36 |
15281460473 | class Solution:
def toGoatLatin(self, sentence: str) -> str:
sentence = sentence.split()
vowels = "aeiou"
final = ""
for i, word in enumerate(sentence):
if word[0].lower() not in vowels:
word = word[1:] + word[0] + "ma"
print(word)
... | type0-1/LeetCode | goat-latin.py | goat-latin.py | py | 482 | python | en | code | 0 | github-code | 36 |
29155312950 | def createTreeItem(key, value):
"""
Maakt een nieuwe BST item aan met self.key=key en self.Root=value
:param key: De zoeksleutel van het item.
:param value: De waarde van het item.
:return: Geeft de gemaakte BST terug.
"""
Tree = BST()
Tree.key = key
Tree.Root = value
return Tree... | MenuaSoftware/CinepolisSystem | Project/Denis/BST.py | BST.py | py | 12,220 | python | nl | code | 0 | github-code | 36 |
29640551287 | #https://open.kattis.com/problems/detaileddifferences
#setting test case variable
testCase = input()
#creating for loop in range of test case
for i in range(int(testCase)):
#get line 1 from user and then print
line1 = input()
print(line1)
#get line 2 from user and then print
line2 = input()
... | teddcp2/Tensorflow-Deep-Learning-notes | python/detailed_differences_1.4.py | detailed_differences_1.4.py | py | 961 | python | en | code | 0 | github-code | 36 |
28692875111 | # 2023.09.19
# 빅데이터개론
# userListHeader.py
# zip, enumerate 함수를 구현
"""
myZip function
parameter: *args 가변인자, 매개변수의 수가 변할 수 있음
여러 데이터가 합쳐진 형태를 튜플로 리턴 // list가 아니어도 묶을 수 있다
이때 가장 짧은 길이의 데이터에 맞춤
"""
def myZip(*args):
min_length = min(len(arg) for arg in args) # len()은 이전에 구현했으니, 메소드를 바로 사용
result... | ffvv0123/2023-R2-Big-Data | List/List_02/userListHeader.py | userListHeader.py | py | 903 | python | ko | code | 0 | github-code | 36 |
18914351143 | class Solution:
def taskSchedulerII(self, tasks: list[int], space: int) -> int:
day = 0
history: dict[int, int] = {}
for task_i, task in enumerate(tasks):
if task in history and day - history[task] <= space:
day += space - (day - history[task]) + 1
hi... | lancelote/leetcode | src/task_scheduler_ii.py | task_scheduler_ii.py | py | 379 | python | en | code | 3 | github-code | 36 |
70536838504 | '''
Given the heads of two singly linked-lists headA and headB, return the node at which the two lists intersect. If the two linked lists have no intersection at all, return null.
'''
# Definition for singly-linked list.
# class ListNode(object):
# def __init__(self, x):
# self.val = x
# self.next =... | ChrisStewart132/LeetCode | 160. Intersection of Two Linked Lists.py | 160. Intersection of Two Linked Lists.py | py | 975 | python | en | code | 0 | github-code | 36 |
13632762170 | # -*- coding: utf-8 -*-
"""
Created on Thu Oct 25 15:04:22 2018
@author: Nagano Masatoshi
"""
import cv2
import os
#import ffmpeg as fp
def main():
#動画を読み込む
filename = './movie/output.mp4'
video = cv2.VideoCapture(filename)
path = 'movie2'
if not os.path.exists(path):
... | nagano28/img2mp4-mp42img | movie2img.py | movie2img.py | py | 723 | python | en | code | 1 | github-code | 36 |
30289586485 | class Solution(object):
def maxArea(self, height):
"""
:type height: List[int]
:rtype: int
"""
# start at both ends
L = 0
R = len(height)-1
res = 0
# consider conditions that can never have a maximum
## bottom length continues ... | hanjisu49/LeetCode-for-BigTech | 0011_containerMostWater.py | 0011_containerMostWater.py | py | 743 | python | en | code | 0 | github-code | 36 |
22635756480 | # from django.http import HttpResponse
from django.shortcuts import render
# from random import randint
# Create your views here.
from . models import Article # 같은 폴더 안의 models에서 Article을 사용할거야
def index(request):
# random_number = randint(1,18)
# return HttpResponse("Hello, word {}".format(random_number))
... | jungeunlee95/python-practice | Django/src/blog/views.py | views.py | py | 696 | python | en | code | 0 | github-code | 36 |
22777255698 | # -*- coding:utf-8 -*-
import os
from os import path
import random
def check_file(path='./',ext=''):
_filelist = os.listdir(path)
ch_e = []
for _file in _filelist:
_root, _ext = os.path.splitext(_file)
if _ext == ext:
ch_e.append(_file)
else:
pass
return... | Swall0w/Yolo-Fomat | gen_label.py | gen_label.py | py | 915 | python | en | code | 0 | github-code | 36 |
11359144671 | def snail(arr):
global N
newX, newY = 0, 0
dx = [1, 0, -1, 0]
dy = [0, 1, 0, -1]
dr_s = 0
num = 1
for i in range(N*N):
X, Y = newX, newY
arr[Y][X] = num
newX = dx + dx[dr_s]
newY = dy + dy[dr_s]
if newX >= N or newX < 0 or newY >= N or newY < 0 or ar... | Jade-KR/TIL | 04_algo/sw문제/d12/prac.py | prac.py | py | 684 | python | en | code | 0 | github-code | 36 |
71534550504 | import cv2
import os
import torch
import torch.nn as nn
import torchvision
import argparse
import numpy as np
import copy
from torch.autograd import Variable
pa = argparse.ArgumentParser()
pa.add_argument("--input_row", type=int, default=0)
pa.add_argument("--input_col", type=int, default=0)
pa.add_argument("--input_c... | DrWiki/Alliance_Sentry_CNN_Tensorflow_Pytorch | Robomaster_CNN.py | Robomaster_CNN.py | py | 6,374 | python | en | code | 2 | github-code | 36 |
13354653919 | def reverse_string_1(s):
return ' '.join(reversed(s.split()))
def reverse_string(s):
length = len(s)
words = list()
spaces = [' ']
i = 0
while i < length:
if s[i] not in spaces:
word_start = i
while i < length and i not in spaces:
i += 1
... | XingzheZhao/Coding_Docs | problems/reverseString.py | reverseString.py | py | 924 | python | en | code | 0 | github-code | 36 |
4500647945 | """
This unit test tests the uri resolver.
It is often the case, that a taxonomy schema imports another taxonomy using a relative path.
i.e:
<link:linkbaseRef [..] xlink:href="./../example_lab.xml" [..]/>
The job of the uri resolver is to resolve those relative paths and urls and return an absolute path or url
"""
impo... | manusimidt/py-xbrl | tests/test_transformation.py | test_transformation.py | py | 15,723 | python | en | code | 78 | github-code | 36 |
34772355909 | #! //Users/tyt15771/miniconda3/envs/pymol/bin/python
from pymol import cmd
import json
import os
import argparse
parser = argparse.ArgumentParser()
parser.add_argument(
"-l",
"--lig_path", required=True,
)
parser.add_argument(
"-p",
"--prot_path", required=True,
)
parser.add_argument(
"-t... | xchem/PLEC | generate_complexes.py | generate_complexes.py | py | 1,280 | python | en | code | 0 | github-code | 36 |
19448716950 | import cv2
import os
import re
import mediapipe as mp
import pandas as pd
# Initialize mediapipe lib
mpPose = mp.solutions.pose
pose = mpPose.Pose()
mpDraw = mp.solutions.drawing_utils
lm_list = []
label = "FALLBACK"
no_of_frames = 200
def make_landmark_timestep(results):
c_lm = []
for id, lm in enumerate(re... | nt-myduyen/demo-human-detection | read-data.py | read-data.py | py | 2,663 | python | en | code | 0 | github-code | 36 |
27078162265 | #!/usr/bin/python
# -*- coding: utf-8 -*-
from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor
from scrapy.selector import Selector
from score.items import ScoreItem
from sunburnt import SolrInterface
class ScoreSpider(CrawlSpider):
name = 'score'
... | h4k1m0u/matchendirect-crawl | score/score/spiders/score_spider.py | score_spider.py | py | 6,947 | python | en | code | 0 | github-code | 36 |
29871880593 | from fastapi import APIRouter, HTTPException, status, Body
from fastapi.param_functions import Depends
from fastapi.security.oauth2 import OAuth2PasswordRequestForm
from sqlalchemy.orm.session import Session
from db.database import get_db
from auth import oauth2
from utils.hash import Hash
from jose import jwt
from jos... | DaXuaBa/mobirace_be | auth/authentication.py | authentication.py | py | 3,009 | python | en | code | 0 | github-code | 36 |
21624620290 | import re
import duckduckgo
def duckduck_regex(message):
regex = "^\/duckduck\s+(?P<data>[a-zA-Z0-9\s]+)"
m = re.match(regex, message)
if not m:
return None
else:
return m.groupdict()["data"]
def ddg(query):
"""
DuckDuckGo search
"""
return duckduckgo.get_zci(query)
| 0x00-0x00/gadreel-bot | src/duckduckgo.py | duckduckgo.py | py | 317 | python | en | code | 2 | github-code | 36 |
74072355624 | import moviepy.editor as mp
from assembly_api import *
def convert(name):
video = mp.VideoFileClip(name)
video.audio.write_audiofile("converted.wav")
print("Please enter the name of video file you want to summarize along with its type...... eg: test.mp4")
name = input()
convert(name)
def start():
filename ... | SiddheshJawadi/NLP_Webinar_Summarization | NLP/main.py | main.py | py | 487 | python | en | code | 0 | github-code | 36 |
43697079041 | from libqtile.lazy import lazy
from libqtile.config import Key
mod = "mod4"
terminal = "kitty"
filemanager = "thunar"
browser = "brave"
keys = [
# window controls
Key([mod], "j", lazy.layout.down(), desc="Move focus down"),
Key([mod], "k", lazy.layout.up(), desc="Move focus up"),
Key([mod, "shift"], "... | daddyhacker18/dotfiles-laptop | .config/qtile/modules/keys.py | keys.py | py | 3,211 | python | en | code | 0 | github-code | 36 |
8170098557 | import pickle
import numpy as np
import matplotlib.pyplot as plt
import os
#global a,b,c,aami
data_sys = './diadata/'
filelist=['data1.txt','data2.txt','data3.txt','data4.txt','data5.txt','data6.txt','data7.txt','data8.txt','data9.txt','data10.txt'
,'data11.txt','data12.txt','data13.txt','data14.txt','data15.... | WangboML/BP_estimation | sys_process.py | sys_process.py | py | 1,484 | python | en | code | 2 | github-code | 36 |
38394545817 | import pandas as pd
#%%
#1a opción Rutas de importación y exportación
synergy_dataframe = pd.read_csv('synergy_logistics_database.csv',
index_col=0, encoding='utf-8', parse_dates=[4, 5])
#Definir apartados
combinaciones1 = synergy_dataframe.groupby(by=['direction', 'origin',
... | ingridhuezo7/01-HUEZO-INGRID | ANALISIS_02_ HUEZO VAPNIK_INGRID/ANALISIS_02_ HUEZO VAPNIK_INGRID.py | ANALISIS_02_ HUEZO VAPNIK_INGRID.py | py | 3,198 | python | es | code | 0 | github-code | 36 |
4723479414 | # -*- coding: utf-8 -*-
"""
Custom scripts to plot DISCO profiles to a passed plot axis.
"""
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
import os
import numpy as np
from utils.plotting_helpers import annotate_sig_buildup_points
from utils.wrangle_data import flatten_multicolumns, calcula... | Frank-Gu-Lab/disco-figures-template | notebooks/utils/plotting.py | plotting.py | py | 15,812 | python | en | code | 2 | github-code | 36 |
15778610136 | import os
import sys
from typing import Callable
from utils.inputs import int_input
from utils.prints import Color, print_line, print_result
def get_exercices_count() -> int:
"""
Retourne le nombre d'exercices.
:return: Le nombre d'exercices.
:rtype: int
"""
# count the number of files with pattern "ex[number]... | Ayfri/Python-TP3 | menu/menu.py | menu.py | py | 2,550 | python | fr | code | 0 | github-code | 36 |
15827646142 | from __future__ import unicode_literals
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
from future import standard_library
standard_library.install_aliases()
from builtins import *
import itertools
import logging
import pymongo
import arrow
import pandas as ... | e-mission/e-mission-server | emission/storage/decorations/trip_queries.py | trip_queries.py | py | 22,026 | python | en | code | 22 | github-code | 36 |
14156669347 | import json
import ptvsd
import sys
import requests
import boto3
ptvsd.enable_attach(address=('0.0.0.0', 5678), redirect_output=True)
print("waiting for debugger to attach...")
sys.stdout.flush()
ptvsd.wait_for_attach()
print("attached")
# import requests
def create_dynamo_table(event, context, table_name_value,... | tclarkston/debug-lambda | dynamo_db/app.py | app.py | py | 1,888 | python | en | code | 0 | github-code | 36 |
39623165565 | #
# Day 3: Rucksack Reorganization
# https://adventofcode.com/2022/day/3
#
import string
def calculate(lines: list[str]):
SCORE_KEY = list(string.ascii_lowercase) + list(string.ascii_uppercase)
score = 0
for i in range(0, len(lines), 3):
sack1 = set(lines[i].strip())
sack2 = set(lines[i + ... | jeffharrington/advent-of-code-2022 | day03/day3b.py | day3b.py | py | 564 | python | en | code | 0 | github-code | 36 |
37454105581 | """Console script for bgcflow."""
import subprocess
import sys
from pathlib import Path
import click
import bgcflow
from bgcflow.bgcflow import cloner, deployer, get_all_rules, snakemake_wrapper
from bgcflow.mkdocs import generate_mkdocs_report
from bgcflow.projects_util import copy_final_output, projects_util
CONTE... | matinnuhamunada/bgcflow_wrapper | src/bgcflow/cli.py | cli.py | py | 7,639 | python | en | code | 2 | github-code | 36 |
40572434380 | import setuptools
import version
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="uncertainty-wizard",
version=version.RELEASE,
author="Michael Weiss",
author_email="code@mweiss.ch",
description="Quick access to uncertainty and confidence of Keras networ... | testingautomated-usi/uncertainty-wizard | setup.py | setup.py | py | 838 | python | en | code | 41 | github-code | 36 |
11113762870 | # -*-coding:utf-8-*-
"""
File Name: mouse_response_and_type_conversion.py
Program IDE: PyCharm
Date: 10:04
Create File By Author: Hong
"""
import cv2 as cv
import numpy as np
# 在图像上画矩形框
x1 = -1
y1 = -1
x2 = -1
y2 = -1
# canvas = np.zeros((300, 300, 3), dtype=np.uint8)
canvas = cv.imread('images/2.png... | YouthJourney/Computer-Vision-OpenCV | mouse_response_and_type_conversion.py | mouse_response_and_type_conversion.py | py | 2,441 | python | en | code | 21 | github-code | 36 |
39829558439 | import numpy as np
import copy
import json
import imageio
import math
import os
import functools
import torch
from torch import nn
from torch.utils.data import Dataset
# Code based on:
# https://github.com/openai/baselines/blob/master/baselines/deepq/replay_buffer.py
# Expects tuples of (state, next_sta... | willwhitney/dynamics-aware-embeddings | rl/utils.py | utils.py | py | 14,213 | python | en | code | 42 | github-code | 36 |
37862197413 | import pandas as pd
from sentence_transformers import SentenceTransformer
from sklearn.metrics.pairwise import cosine_similarity
from transformers import AutoTokenizer, AutoModel
import torch
from typing import List
from patent_phrase_similarity.data.analysis.visualize_datasets import plot_score_vs_test_score
from p... | vquilon/kaggle-competitions | patent-phrase-to-phrase-matching/models/transformers_similarity.py | transformers_similarity.py | py | 6,450 | python | en | code | 0 | github-code | 36 |
2722280973 | class Solution(object):
def buildTree(self, preorder, inorder):
if not preorder or not inorder:
return None
# firt elementin preorder is root, found the index in preorder and separate them
root = TreeNode(preorder[0])
index = inorder.index(preorder[0])
... | ZhengLiangliang1996/Leetcode_ML_Daily | Tree/105_ConstructBinaryTreeFromPreorderandInorder.py | 105_ConstructBinaryTreeFromPreorderandInorder.py | py | 571 | python | en | code | 1 | github-code | 36 |
71304388263 | #Desafio 31
#Débora Janini
#Este desafio fiz com base em de duas colegas,
#aonde pude ver ferraemntas novas do python e entender
N = int(input())
array = list(map(int, input().split()))
menor = min(array) #min retorna o menor
posicao = array.index(menor) #index retorna o indice, então
#index do menor valor no array... | deborajanini/desafios-python | desafio31versao2.py | desafio31versao2.py | py | 382 | python | pt | code | 0 | github-code | 36 |
29465284343 | ## This module aims to analyze the effect of angle distribuiton
import numpy as np
import math as mt
import matplotlib.pyplot as plt
import Kinematics
import scipy.integrate as integrate
import scipy.optimize as opt
#Particle Property
#kpc
kpc_in_cm = 3.08567758e21
#light speed
vc = 3e10
#Neutrino
M_nu = 0.32 # Unit... | CrazyAncestor/DM_Neutrino_Flux | old_codes/Angle_Effect.py | Angle_Effect.py | py | 10,190 | python | en | code | 0 | github-code | 36 |
16379803548 | # %% preliminaries
import sys, os
from pylab import *
from treefarm import *
from treefarm.minimizers.flatgp import FlatGPMinimizer, expected_improvement
from treefarm.core.utils import get_minium_states
from treefarm.core.space_utils import get_subspace, to_space
from time import sleep
import GPy
kernel_dict = {
... | Mome/baumschule | examples/test_different_kernels.py | test_different_kernels.py | py | 2,382 | python | en | code | 0 | github-code | 36 |
16655733054 | from hypothesis import given, assume, strategies as st
from quadratic import quadratic
import cmath
@given(a = st.floats(min_value=-10000, max_value=10000),
b = st.floats(min_value=-10000, max_value=10000),
c = st.floats(min_value=-10000, max_value=10000))
def test_quad(a, b, c):
assume(abs(a) >= 0.0... | rhettinger/modernpython | test_quadratic.py | test_quadratic.py | py | 535 | python | en | code | 438 | github-code | 36 |
10453935366 | # Copyright (C) 2020-2021 Burak Martin (see 'AUTHOR' for full notice)
"""
Enable/disable parallelism, caching and nogil. The program needs to be restarted to take effect since these options
only effect numba functions which need to be recompiled.
"""
parallel = True
cache = True
nogil = True
| pymatting/pymatting-interactive-tool | config/config.py | config.py | py | 308 | python | en | code | 5 | github-code | 36 |
16662671 | load("@obazl_rules_ocaml//ocaml:providers.bzl", "BuildConfig", "OpamConfig")
opam_pkgs = {
"ocaml": ">= 4.04.0",
"dune": ">= 1.2.0",
"ounit": "with-test & >= 1.0.2",
"ppx_sexp_conv": "with-test & >= v0.9.0",
"stringext": ["1.4.0"],
"angstrom": ["0.14.0"],
}
opam = OpamConfig(
version = ... | tweag/ocaml-uri-bazel | bzl/opam.bzl | opam.bzl | bzl | 541 | python | en | code | 0 | github-code | 36 |
6197795850 | def gcd(n1,n2):
while n2 >0:
n1,n2 = n2 , n1%n2
return n1
def solution(denum1, num1, denum2, num2):
# 1. 두 분수의 합 계산
boonmo = num1 * num2
boonja = denum1 * num2 + denum2 * num1
# 2. 최대공약수 계산
gcd_value = gcd(boonmo, boonja)
# 3. gcd 로 나눈 값을 answer에 담기
answer = [boonja / ... | byeong-chang/Baekjoon-programmers | 프로그래머스/lv0/120808. 분수의 덧셈/분수의 덧셈.py | 분수의 덧셈.py | py | 414 | python | ko | code | 2 | github-code | 36 |
19691521791 | import torch
from torch import nn
import torch.nn.functional as F
from utils import gelu, LayerNorm
from transformer import TransformerLayer, Embedding, LearnedPositionalEmbedding, SelfAttentionMask
from label_smoothing import LabelSmoothing
class BIGLM(nn.Module):
def __init__(self, local_rank, vocab, embed_dim... | lipiji/SongNet | biglm.py | biglm.py | py | 7,558 | python | en | code | 227 | github-code | 36 |
29791048785 | import requests
from lxml import etree
import json
from pyecharts import Map # 0.1.9.4
class nCoV_2019:
def __init__(self):
self.headers = {
"User-Agent": "Mozilla/5.0 (iPhone; CPU iPhone OS 13_2_3 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/13.0.3 Mobile/15E148 S... | Ramelon/Python- | 疫情图.py | 疫情图.py | py | 3,469 | python | zh | code | 7 | github-code | 36 |
34246961090 | """
The directories module: Provides paths to all directories used in the
package.
This module helps with the relative paths of the directories in this
package. It helps with overcoming the hassle of re-writing & hardcoding
paths used for reference.
At a glance, the structure of the module is following:
- ai_dir{}: ... | ganyavhad/charlotte | utils/paths/directories.py | directories.py | py | 2,597 | python | en | code | 0 | github-code | 36 |
37222098464 | #!/usr/bin/env python
# coding: utf-8
# In[143]:
#Natural Language Processing with the DIJA and Reddit Headlines
#Classification Predictions on Stock Market from Headlines
#Classification includes Overall Up or Down, Market Volitality, and Measure of Strong and Poor Days
import numpy as np
import pandas as pd
from... | rbarrow2727/stockheadlines | Visualization_and_Modeling_for_Stock_Market_News_Headline_Classification_v5.py | Visualization_and_Modeling_for_Stock_Market_News_Headline_Classification_v5.py | py | 27,699 | python | en | code | 0 | github-code | 36 |
6372282633 | from fastapi import Security, HTTPException, status
from fastapi.security.api_key import APIKeyHeader
from app.db.session import SessionLocal
from app.core.settings import API_KEY_NAME, API_KEY
api_key_header = APIKeyHeader(name=API_KEY_NAME, auto_error=False)
def get_db():
db = SessionLocal()
try:
... | GrupoX-FIUBA/users-service | app/endpoints/base.py | base.py | py | 1,007 | python | en | code | 0 | github-code | 36 |
19294329942 | # server.py - Main server file
# Imports
import paho.mqtt.client as mqtt
import requests
import recommender
import json
import threading
import queue
import config
# Constants for MQTT
TEST_FEED = "charliemm/feeds/test-feed"
RECOMMENDATIONS_FEED = "charliemm/feeds/project.recommendations"
UPDATES_FEED = "charliemm/fe... | maguic11/WhereNext | server/server.py | server.py | py | 5,092 | python | en | code | 0 | github-code | 36 |
22782805173 | #! /usr/bin/env python3
import boto3
import logging
from botocore.exceptions import ClientError
from regionslist import regions
session = boto3.Session(profile_name='temp')
def deployStack(region):
temp_cfnclient = session.client('cloudformation', region_name=region)
response = temp_cfnclient.create_... | desiby/stelligent-u | 01-cloudformation/1.3.2/deploys3.py | deploys3.py | py | 695 | python | en | code | 0 | github-code | 36 |
26067827949 | import torch.utils.data as data
import numpy as np
import os
import torch
import time
import data_reader
from PIL import Image
def collate_fn(batch):
inputs = batch[0][0];
gt = batch[0][1];
noise_std = batch[0][2]
for index in range(1,len(batch)):
inputs = torch.cat((inputs,batch[index][0]),0)... | eedalong/ISP_Demosaic | demosaicnet_src/datasets.py | datasets.py | py | 3,126 | python | en | code | 1 | github-code | 36 |
22403507258 | from SudokuBoard import SudokuBoard, INDEXES_PAIRS, get_random_indexes
# CONSTANTS
NUMBER_OF_ROWS = 9
NUMBER_OF_COLUMNS = 9
class SudokuGame:
def __init__(self):
self.board = SudokuBoard()
self.playing_board = SudokuBoard()
# testing
self.board.fill_board()
pass
def ... | ofirmeir/Sela_Sudoku | SudokuGame.py | SudokuGame.py | py | 1,069 | python | en | code | 0 | github-code | 36 |
5061905616 | from skimage import io, transform
import torch
import os
import cv2
from torchvision import transforms, datasets, utils as vutils
from torch.utils.data import Dataset, DataLoader
import torch.nn as nn
import torch.nn.functional as F
class WormClassifier(nn.Module):
def __init__(self, dim=64):
super(Worm... | paolobif/wormifier | models.py | models.py | py | 2,595 | python | en | code | 0 | github-code | 36 |
5424410088 | import frappe
from frappe import _
from frappe.model.document import Document
class UpgradationAndStatusChange(Document):
def validate(self):
pass
#if self.transfer_date > frappe.utils.nowdate():
# frappe.throw("Future date not allowed")
def on_submit(self):
new_school = frappe.get_doc("School", self.school... | hamza0342/semis | semis/semis/doctype/upgradation_and_status_change/upgradation_and_status_change.py | upgradation_and_status_change.py | py | 730 | python | en | code | 0 | github-code | 36 |
34323690653 | #scan port using nmap
import nmap
import sys
import argparse
def port_scanner(network):
print("Nmap scanning on " + network + " ...\n")
scan_nmap = nmap.PortScanner()
res = scan_nmap.scan(hosts=network, arguments='-sn')
print(res["nmap"])
print("there was " + res["nmap"]["scanstats"]["totalhosts"] + " hosts sc... | bonnettheo/python_hacking_tools | ip_scanner.py | ip_scanner.py | py | 1,482 | python | en | code | 0 | github-code | 36 |
29466847233 | #@author: Neil
#2018-09-26
import sys, pygame
from pygame.locals import *
from random import randrange
class Weight(pygame.sprite.Sprite):
def __init__(self, speed):
pygame.sprite.Sprite.__init__(self)
self.speed = speed
# 绘制Sprite对象时要用到的图像和矩形：
self.image = weight_image... | Crazyalltnt/Beginning-Python-3-Projects | 10-Do-It-Yourself Arcade Game/weights.py | weights.py | py | 1,998 | python | zh | code | 5 | github-code | 36 |
70234738344 | from sshtunnel import SSHTunnelForwarder
from concurrent.futures import ProcessPoolExecutor
import pymysql
import pandas as pd
import datetime
import numpy as np
from visits import Visits
def read_from_db(query):
tunnel = SSHTunnelForwarder(
('192.168.2.85', 22),
ssh_username='ubuntu',
... | AlexMuliar/counter | count_visits.py | count_visits.py | py | 2,624 | python | en | code | 0 | github-code | 36 |
6890156052 | import requests
import json
from libs.html_parser import html_to_nodes
def createPage(access_token, image_sources):
"""Create a page on https://telegra.ph/
Accepts a list of image sources and creates a page containing those images.
Returns the url of the page in case of success, False otherwise
"""
... | xareyli/telegraph-uploader | libs/telegraph/create_page.py | create_page.py | py | 1,501 | python | en | code | 0 | github-code | 36 |
11311733424 | import npyscreen
import curses
def simpletest(screen):
SA = npyscreen.Form()
w = npyscreen.Textfield(SA, )
w.value = u'\u00c5 U+00C5 LATIN CAPITAL LETTER A WITH RING ABOVE\n'.encode('utf-8')
w.edit()
w.update()
if __name__ == "__main__":
curses.wrapper(simpletest)
| npcole/npyscreen | utf8-pycurses.py | utf8-pycurses.py | py | 277 | python | en | code | 436 | github-code | 36 |
8640560733 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Created on Thu Jul 18 04:52:01 2019.
@author: jamiesom
"""
import pandas as pd
from electricitylci.globals import data_dir, output_dir
import numpy as np
from electricitylci.eia860_facilities import eia860_generator_info
import re
def generate_power_plant_construction(ye... | USEPA/ElectricityLCI | electricitylci/power_plant_construction.py | power_plant_construction.py | py | 5,934 | python | en | code | 23 | github-code | 36 |
31712806303 |
# price and discount is float
price=9.99
discount=0.2
result=price*(1-discount)
print(result)
# String
name="Krishna"
name1="Sai"
print(name)
print(name*2)
print(name+" "+name1)
# excercise of creating variables
var1="hola"
var2="hola"
print(var1+" "+var2)
num1=8
num2=2
print(num1*num2)
# using f-string
n... | KrishnaSaiVadlamani/Demo-Application | FlaskWithPython/module2/basicCode.py | basicCode.py | py | 536 | python | en | code | 0 | github-code | 36 |
24184036928 | '''
Created on Jul 16, 2011
@author: Giulio
'''
import logging
from system.network.ServerProxy import ServerProxy
class DummyProxy(ServerProxy):
'''
classdocs
'''
recognizedFuncs = ['shell','send','receive','close']
def __init__(self):
ServerProxy.__init__(self)
self._logger = l... | gbottari/ESSenCe | src/system/network/DummyProxy.py | DummyProxy.py | py | 914 | python | en | code | 0 | github-code | 36 |
74611240104 | #!/usr/bin/env python
import altair_saver
from map_maker_lib import create_topo_data, read_file, validate_data, \
create_plot, DATA_TYPES, DELIMITERS, COLOR_SCHEMES
import streamlit as st
BE_GEO_URL = 'https://gist.githubusercontent.com/jandot/ba7eff2e15a38c6f809ba5e8bd8b6977/raw/eb49ce8dd2604e558e10e15d9a38... | gjbex/Python-for-data-science | source-code/streamlit/map_maker/map_maker_app.py | map_maker_app.py | py | 2,085 | python | en | code | 12 | github-code | 36 |
19310364873 | import os
import functools
dir_path = os.path.dirname(os.path.realpath(__file__))
with open(dir_path+'/input.txt') as f:
lines = [line.rstrip("\n") for line in f]
print(os.path.basename(dir_path))
def diff(str1, str2):
res = ""
for char in str1:
if char not in str2:
res += char
f... | recrtl/aoc21 | day8-2/main.py | main.py | py | 2,736 | python | en | code | 1 | github-code | 36 |
14822140289 | #
# @lc app=leetcode.cn id=257 lang=python3
#
# [257] 二叉树的所有路径
#
# https://leetcode-cn.com/problems/binary-tree-paths/description/
#
# algorithms
# Easy (56.91%)
# Total Accepted: 5.9K
# Total Submissions: 10.4K
# Testcase Example: '[1,2,3,null,5]'
#
# 给定一个二叉树，返回所有从根节点到叶子节点的路径。
#
# 说明: 叶子节点是指没有子节点的节点。
#
# 示例:
#
... | ZodiacSyndicate/leet-code-solutions | easy/257.二叉树的所有路径/257.二叉树的所有路径.py | 257.二叉树的所有路径.py | py | 1,342 | python | en | code | 45 | github-code | 36 |
14248925493 | #입력
n, c = map(int, input().split())
arr = []
for _ in range(n):
arr.append(int(input()))
#과정
#[1, 2, 8, 4, 9]가 있을 때 인접한 영역을 기준으로 이진탐색을 수행
# 먼저 최소 gap과 최대 gap을 지정한 다음 그 중간값을 기준으로 공유기를
#설치할 수 있는 개수를 구한 다음 c보다 크거나 같은 경우
#즉, c보다 더 많은 공유기 설치가 가능한 경우 gap을 더 늘려야 하므로 시작점
#즉, gap의 최소를 업데이트
# 반면 공유기를 c보다 더 적게 설치할 수 밖에 없... | vmfaldwntjd/Algorithm | BaekjoonAlgorithm/파이썬/이진 탐색/Baekjoon_2110.py | Baekjoon_2110.py | py | 1,975 | python | ko | code | 0 | github-code | 36 |
37568831331 | D = {1: 'one', 2: 'two', 3: 'three', 4: 'four', 5: 'five',6: 'six',7: 'seven', 8: 'eight', 9: 'nine', 10: 'ten',11: 'eleven', 12: 'twelve', 13: 'thirteen', 14: 'fourteen',15: 'fifteen', 16: 'sixteen', 17: 'seventeen',18: 'eighteen', 19: 'nineteen', 20: 'twenty', 30: 'thirty',40: 'forty', 50: 'fifty', 60: 'sixty', 70: '... | jorul/ITGK | ITGK øvinger/Eksamen 2016/4.py | 4.py | py | 2,908 | python | en | code | 0 | github-code | 36 |
17106811081 | import os
inputPath = os.path.join(os.path.dirname(__file__), "input")
with open(inputPath, "r") as inputFile:
initialLines = [line.strip() for line in inputFile.readlines() if line]
def getLineAtCursor(lines, cursor):
command, value = lines[cursor].split(" ")
value = int(value)
return command, valu... | mmmaxou/advent-of-code | 2020/day-8/answer.py | answer.py | py | 1,816 | python | en | code | 0 | github-code | 36 |
6758424060 |
import pygame
import random
pygame.init()
dis_width = 800 # указываем высоту и ширину экрана
dis_height = 600
win = pygame.display.set_mode((dis_width, dis_height))
pygame.display.set_caption("snake") # пишем название экрана
x = 0 # начальные координаты змейки
y = 0
speed = 10 # скорость з... | artem6033/snake | snake.py | snake.py | py | 3,345 | python | ru | code | 0 | github-code | 36 |
37726664454 | import threading
import time
from traceback import print_tb
import numpy as np
import serial.tools.list_ports
import serial
import queue
import PySimpleGUI as sg
import matplotlib.figure as figure
import matplotlib.pyplot as plt
number_of_network_nodes = 3
monitor_serial = 'All' # 'Single' or 'All'
class Artist:
... | PedroTaborda/DistributedIlluminationSystem | serial_com_async.py | serial_com_async.py | py | 12,472 | python | en | code | 0 | github-code | 36 |
34111347494 | import argparse
'''
Given a file with both genders, creates 2 CSVs, one for male and one for female.
Uses 'gender' column; '0'=female, '1'=male.
'''
def split_genders(file, dest_file, gender_idx):
lines = open(file, 'r').readlines()
with open(dest_file + '_male.csv','w') as file:
for line_idx in range(len(li... | carisatinie/emotion_bias | programs/split_genders.py | split_genders.py | py | 2,471 | python | en | code | 0 | github-code | 36 |
7784669889 | import requests
import json
def versiontuple(v):
return tuple(map(int, (v.split("."))))
if __name__ == '__main__':
# Load the .json file containing the remote version
url = 'https://raw.githubusercontent.com/matteocali/DEILabs/main/data/version.json'
f = requests.get(url)
# The .json() method au... | matteocali/DEILabs | data/version_checker.py | version_checker.py | py | 763 | python | en | code | 4 | github-code | 36 |
32625776262 | import re
class Solution:
def myAtoi(self, string):
"""
:type string: str
:rtype: int
"""
string = string.strip()
pattern = re.compile('[+-]?\d+')
try:
result = int(pattern.match(string).group())
if result > 2147483647:
... | 7forz/leetcode_algo_data_structure | 008-String to Integer (atoi).py | 008-String to Integer (atoi).py | py | 527 | python | en | code | 0 | github-code | 36 |
5049733369 | import argparse
import json
import os
import time
# isort: off
import torch
import torch.multiprocessing as mp
import tensorrt as trt
# isort: on
from safetensors import safe_open
from transformers import AutoModelForCausalLM, GPTNeoXConfig
from weight import load_from_hf_gpt_neox
import tensorrt_llm
from tensorrt_ll... | NVIDIA/TensorRT-LLM | examples/gptneox/build.py | build.py | py | 17,487 | python | en | code | 3,328 | github-code | 36 |
70864089065 | import multiprocessing
import os
class Logger:
info_enabled = 1
debug_enabled = 1
output_enabled = 1
@staticmethod
def output(prefix, s):
if Logger.output_enabled:
print(multiprocessing.current_process().name, prefix, s)
@staticmethod
def info(s):
if Logger.i... | b49nd1n/IPS | ips/logger.py | logger.py | py | 495 | python | en | code | 0 | github-code | 36 |
11904566223 | from collections import defaultdict
class DigitSignals:
def __init__(self, signals):
self.signals = ["".join(sorted(s)) for s in signals]
self.signalsByLength = defaultdict(list)
self.wires = ["?"] * 7
self.numberMap = {}
self.signalsToNumbers = {}
self.solve()
... | ianlayzer/adventofcode2021 | code/08.py | 08.py | py | 3,775 | python | en | code | 0 | github-code | 36 |
18046091832 | # daf_test_start.py - DAF connection test based on ppo_aoa_random_start.py
import logging
import numpy as np
from stable_baselines3 import PPO
from backend.rl_base_classes.aoa_base_class import AoABaseClass
from backend.rl_environments.discrete_environment import DiscreteEnv
from backend.utils.analysis import plot_av... | hmdmia/HighSpeedRL | rl_runners/daf_test_start.py | daf_test_start.py | py | 3,524 | python | en | code | 0 | github-code | 36 |
5050338619 | import tempfile
import unittest
from collections import OrderedDict
from itertools import product
import numpy as np
import parameterized
# isort: off
import torch
import tensorrt as trt
# isort: on
from parameterized import parameterized
from transformers import BertConfig, BertForQuestionAnswering, BertModel
impor... | NVIDIA/TensorRT-LLM | tests/model/test_bert.py | test_bert.py | py | 15,445 | python | en | code | 3,328 | github-code | 36 |
13100989511 | from time import time
import six
import json
from chameleon import PageTemplate
BIGTABLE_ZPT = """\
<table xmlns="http://www.w3.org/1999/xhtml"
xmlns:tal="http://xml.zope.org/namespaces/tal">
<tr tal:repeat="row python: options['table']">
<td tal:repeat="c python: row.values()">
<span tal:define="d python: c + 1"
tal... | ddps-lab/serverless-faas-workbench | openwhisk/cpu-memory/chameleon/function.py | function.py | py | 1,104 | python | en | code | 96 | github-code | 36 |
3106445086 | # coding: utf-8
import unittest
from unittest.mock import MagicMock, patch
from car_rewrite_model.model import CarRewriteBaseKeywords, CarRewriteSynonymsReplace
class TestDemo(unittest.TestCase):
def test_car_rewrite_base_keywords(self):
CarRewriteBaseKeywords.get_tf_results = MagicMock(return_value=['改... | flyliu2017/car_rewrite_model | tests/test_demo.py | test_demo.py | py | 3,205 | python | en | code | 0 | github-code | 36 |
72152970985 |
import numpy as np
import torch
from torch import nn
crop_size = 256
cfa_pattern = 1
idx_R = np.tile(
np.concatenate((np.concatenate((np.zeros((cfa_pattern, cfa_pattern)), np.ones((cfa_pattern, cfa_pattern))), axis=1),
np.concatenate((np.zeros((cfa_pattern, cfa_pattern)), n... | samsungexpert/snu | myloss.py | myloss.py | py | 4,782 | python | en | code | 1 | github-code | 36 |
7961895091 | import RPi.GPIO as GPIO
import time
import datetime
import math
from ISStreamer.Streamer import Streamer
streamer = Streamer(bucket_name="Hamster Fitness Tracker", access_key="PUT YOUR CLIENT KEY HERE")
streamer.log("ZooZoo Says","")
# Setup Pins
pinNumLaserBreak = 18
pinNumLED = 4
GPIO.setmode(GPIO.BCM) # numbering s... | initialstate/blog | hamster_fitness.py | hamster_fitness.py | py | 1,974 | python | en | code | 2 | github-code | 36 |
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