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15731112153 | import cv2
from cv2 import *
import numpy as np
from .cv2pynq import *
from pynq.lib.video import *
__version__ = 0.3
c = cv2pynq()
video = c.ol.video #cv2pynq uses the pynq video library and the Pynq-Z2 video subsystem
def Sobel(src, ddepth, dx, dy, dst=None, ksize=3, scale=1, delta=0, borderType=cv2.BORDER_DEFAULT... | JinChen-tw/PYNQ-Z2 | E_Elements_labs/cv2pynq/__init__.py | __init__.py | py | 2,147 | python | en | code | 9 | github-code | 13 |
21800376232 | # Time Limit per Test: 1 seconds
# Memory Limit per Test: 256 megabytes
# Using: PyPy 3-64
# Solution Link: https://codeforces.com/contest/1775/submission/189010130
'''
Question Link: https://codeforces.com/contest/1775/problem/C
Petya and his friend, robot Petya++, like to solve exciting math problems.
One day Petya... | Squirtleee/AlgoPractice | Solutions/Interesting Sequence.py | Interesting Sequence.py | py | 1,942 | python | en | code | 0 | github-code | 13 |
12156328110 | import pymongo
import datetime
import customers
def getAllFilms(client):
try:
movies_collection = client["rentals"]
movies = movies_collection.find().sort("_id",1)
retList = []
for m in movies:
m_obj = {"Title" : m["Title"], "Category" : m["Category"], "id" : m["_id"],
... | Ekhemlin/flask_mongo_assesment | backend/films.py | films.py | py | 1,283 | python | en | code | 0 | github-code | 13 |
43594177885 | import requests
from pprint import pprint
import logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s %(levelname)s %(message)s')
log = logging.getLogger('root')
# CONSTANT
COINDESK_URL = 'https://api.coindesk.com/v1/bpi/currentprice.json'
def main():
bitcoin_num = get_user_bitcoin_value()
co... | xd3262nd/lab-8 | bitcoin.py | bitcoin.py | py | 1,802 | python | en | code | 0 | github-code | 13 |
34809869814 | import codecs
import json
import cv2
import tensorflow as tf
import matplotlib.pyplot as plt
IMAGE_SIZE = 64
feature_description = {
'label': tf.io.FixedLenFeature([], tf.int64, default_value=-1),
'data': tf.io.FixedLenFeature([], tf.string)
}
def json_labels_read_from_file(file_path):
with codecs.ope... | 1984xunhuan/face_classify | load_dataset.py | load_dataset.py | py | 2,912 | python | en | code | 3 | github-code | 13 |
35451305782 | # -*- coding:utf-8 -*-
# REG_PATTERN
REG_PATTERN = {
'video': r'/video/av(\d+)',
'article': r'/read/cv(\d+)',
'user': r'/(\d+)/',
'tag': r'/tag/(\d+)',
'online': r'/x/web-interface/online',
'reply': r'/reply'
}
# Bilibili category maps
CATEGORY_MAP = {
"douga": {
"name": "动画",
... | SatoKoi/BilibiliSpider | BilibiliSpider/map/defaults.py | defaults.py | py | 1,654 | python | en | code | 15 | github-code | 13 |
32293934235 | import os
import sys
import shutil
import numpy as np
import tensorflow as tf
from tensorflow.python.ops import init_ops
from tensorflow.contrib.layers.python.layers import regularizers
module_path = os.path.join(os.path.abspath(os.path.dirname(__file__)), "..")
if module_path not in sys.path:
sys.path.append(mod... | kabrapratik28/DeepVideos | model/model_skip_autoencoder.py | model_skip_autoencoder.py | py | 23,767 | python | en | code | 4 | github-code | 13 |
73729121296 | import cv2
import numpy as np
import os
from tqdm import tqdm
import matplotlib.pyplot as plt
CLASS_NAMES = ("None",
"Road",
"Sign",
"Car",
"Pedestrian")
colorB = [0, 0, 255, 255, 69]
colorG = [0, 0, 255, 0, 47]
colorR = [0, 255, 0, 0, 142]
N_... | madara-tribe/SetupSystems | ML/segmentation/IOUScore/utils.py | utils.py | py | 3,251 | python | en | code | 0 | github-code | 13 |
7290416706 | #!/usr/bin/env python3
import xml.etree.cElementTree as ET
import re
from matplotlib import pyplot as plt
import numpy as np
from svg.path import parse_path
from functools import lru_cache
it = ET.iterparse('RS1096.svg')
for _, el in it:
if '}' in el.tag:
el.tag = el.tag.split('}', 1)[1] # strip all name... | wenlintan/musiqcWashington | PyPlay/trap_fe/geometry/hoa-geometry.py | hoa-geometry.py | py | 7,028 | python | en | code | 0 | github-code | 13 |
2355560597 | # 344 - Reverse String
# https://leetcode.com/problems/reverse-string/
class Solution:
# list the methods to be run against the test cases
implementations = ["reverse_string"]
def reverse_string(self, s: list[str]) -> list[str]:
"""
Use two pointers, left and right, and swap opposing ele... | andrewt110216/algorithms-and-data-structures | leetcode/p0344_solution.py | p0344_solution.py | py | 1,481 | python | en | code | 0 | github-code | 13 |
73662999056 | # -*- encoding: utf-8 -*-
import os
import warnings
__all__ = [
'check_pid',
'warn_if_not_float'
]
def warn_if_not_float(X, estimator='This algorithm'):
"""Warning utility function to check that data type is floating point.
Returns True if a warning was raised (i.e. the input is not float) and
F... | dingdian110/alpha-ml | alphaml/utils/common.py | common.py | py | 1,738 | python | en | code | 1 | github-code | 13 |
14508410119 | import unittest
import os
from pathlib import Path
def sys_path_init():
import sys
# For tests/main.py Path
path = Path(os.path.realpath(__file__)).parent.parent.parent.absolute()
sys.path.append(str(path))
# For test.sh Path
path = Path(os.path.realpath(__file__)).parent.parent.absolute()
... | soo4767/sprint-backend-v2 | tests/main.py | main.py | py | 2,781 | python | en | code | 0 | github-code | 13 |
31509237214 | import unittest
from unittest import TestCase
from enum import Enum
from functools import wraps
from typing import (
Callable,
Optional,
List,
Any
)
class TestNumber(TestCase):
def setUp(self) -> None:
self.incorrect_values: List[Any] =\
['3', 1.2, -2, 'asf', []]
self.c... | madjar-code/LeetCode-Solutions | Binary Search/Sqrt(x).py | Sqrt(x).py | py | 2,242 | python | en | code | 0 | github-code | 13 |
13939558511 | import sqlite3
from sqlite3 import Error
import PySimpleGUI as gui
gui.theme('DarkAmber') # color
# inside window
layout = [ [gui.Text('Tables')],
[gui.Text('Search'), gui.InputText()],
[gui.Text('Command'), gui.InputText()],
[gui.Button('Ok'), gui.Button('Cancel')] ]
# Create t... | griimgir/Database | FinalProject/eftBB-Prototypes/Draftprototype2.py | Draftprototype2.py | py | 643 | python | en | code | 0 | github-code | 13 |
71473315537 | import numpy as np
from onnx.reference.op_run import OpRun
class CenterCropPad(OpRun):
def _run(self, input_data, shape, axes=None): # type: ignore
axes = axes or self.axes # type: ignore
input_rank = len(input_data.shape)
if axes is None:
axes = list(range(input_rank))
... | onnx/onnx | onnx/reference/ops/op_center_crop_pad.py | op_center_crop_pad.py | py | 1,525 | python | en | code | 15,924 | github-code | 13 |
25139376309 | """Test of the hypercube function that is used to to assign positions
to the channels.
"""
import math
from typing import Dict, Tuple
import pytest
import torch
from topography.core.distance import hypercube
expected_grids: Dict[Tuple[int, int], Dict[bool, torch.Tensor]] = {
(5, 1): {
True: torch.tensor(... | bootphon/topography | tests/test_hypercube.py | test_hypercube.py | py | 2,960 | python | en | code | 4 | github-code | 13 |
6538058478 | from __future__ import division
import numpy as np
import matplotlib.pyplot as plt
duration = .1 # Duration in seconds
signal_frequency = 600
sample_frequency = 1000
# timesteps
t = np.arange(0, duration*sample_frequency)/sample_frequency
# the signal
x = np.sin(2*np.pi*signal_frequency*t)
# number of samples
n = x.... | IzzyBrand/ledvis | testing/hanning_test.py | hanning_test.py | py | 907 | python | en | code | 40 | github-code | 13 |
26973434535 | import sys
def sumMaxRange(array):
totalIndex = len(array)
sum = max = array[0]
for index in range(1, len(array)):
if sum < 0:
sum = array[index]
else:
sum += array[index]
if sum > max:
max = sum
return max
def main(argv):
arrayExercise = [31, -41, 59, 26, -53, 58, 97, -93, -23, 84]
sum = sum... | laerciovacca/BitsOfBytes | sources/python/exercise.py | exercise.py | py | 400 | python | en | code | 0 | github-code | 13 |
33558395733 |
import sparknlp
from pyspark.ml import PipelineModel
spark = sparknlp.start(m1=True)
import streamlit as st
@st.cache(allow_output_mutation=True)
def load_pipeline(name):
return PipelineModel.load(name)
@st.cache(allow_output_mutation=True)
def process_text(model_name, text):
pipeline = load_pipeline(m... | hannnnk1231/Covid-19-Fake-News-Detector | demo.py | demo.py | py | 734 | python | en | code | 1 | github-code | 13 |
41470194233 | import cv2
from cv2 import blur
#use of blur to remove noise and augment dataset for noisy images
img = cv2.imread('F:\Edge ai\images\\balloons_noisy.png')
blurIMG = cv2.blur(img,(5,5))
cv2.imshow("OG img",img)
cv2.imshow("Blurred img",blurIMG)
cv2.waitKey(0)
| kunal118/Edge-ai | Class 3/blur.py | blur.py | py | 267 | python | en | code | 0 | github-code | 13 |
4321498591 | from financepy.utils.global_types import OptionTypes
from financepy.models.sabr import SABR
from financepy.models.sabr import vol_function_sabr
import numpy as np
def test_SABR():
nu = 0.21
f = 0.043
k = 0.050
t = 2.0
alpha = 0.2
beta = 0.5
rho = -0.8
params = np.array([alpha, beta, r... | domokane/FinancePy | tests/test_FinModelSABR.py | test_FinModelSABR.py | py | 2,419 | python | en | code | 1,701 | github-code | 13 |
19189801083 | #!/usr/bin/python3.7
# -*-coding:Utf-8 -*
# version 1.0-alpha
import datetime, time
import os, shutil, sys, glob
from os import path
varld4 = 0
varactu = 0
home = os.environ['HOME']
chemindst = 0
dstf = 0
def moove_question():
print("\nQue voulez-vous déplacer ? :\n")
print("1 - De(s) fichier(s).")
prin... | Porteur98/Script-python-pour-d-placement-de-fichier-et-dossier | script_version_1.0-alpha.py | script_version_1.0-alpha.py | py | 45,405 | python | fr | code | 0 | github-code | 13 |
16707436806 | """
Written by Lorenzo Vainigli
This program provides a correct solution for the following problem:
https://www.facebook.com/codingcompetitions/hacker-cup/2019/qualification-round/problems/C
"""
import re
filename = "mr_x"
DEBUG = 0
if DEBUG:
input_filename = filename + "_example_input.txt"
output_filename ... | lorenzovngl/meta-hacker-cup | 2019/qualification_round/mr_x/mr_x.py | mr_x.py | py | 3,471 | python | en | code | 1 | github-code | 13 |
21524253114 | import cherrypy
from Networking.statuscodes import StatusCodes
from Networking.network import Network
class Networking(Network):
_config = None
def __init__(self, config):
self._registerStatusCodes()
self._config = config
from tophat import TophatMain
TophatMain(self._config)
def _registerStatusCodes(s... | tcd-tophat/TopHat-Platform | Networking/Protocols/Tpcustom/networking.py | networking.py | py | 600 | python | en | code | 4 | github-code | 13 |
13416275499 | import face_recognition as face
import numpy as np
import cv2
video_capture = cv2.VideoCapture("sample.mp4")
pop_image = face.load_image_file("pop.jpg")
pop_face_encoding = face.face_encodings(pop_image)[0]
face_location = []
face_encodings = []
face_names = []
face_percenrt = []
process_this_frame = True
known_fac... | Sasina21/FacialRecognition | FacialRecognition.py | FacialRecognition.py | py | 2,339 | python | en | code | 0 | github-code | 13 |
1280636508 | from sklearn.cluster import KMeans
from sklearn.preprocessing import StandardScaler, MinMaxScaler, RobustScaler
class PostProcess:
"""
This class performs post-processing on features to cluster them based on the specified method.
It supports scaling the features using different scaling methods before clust... | JordanWhite34/Multi-Object-Tracking | baseline/Processing.py | Processing.py | py | 2,094 | python | en | code | 0 | github-code | 13 |
22528155731 | class AFN:
def __init__(self,inicial, final, estadosOrigen, estadoDestino, transicion, estadosPosibles):
self.inicial = inicial
self.final = final
self.estadosOrigen = estadosOrigen
self.estadoDestino = estadoDestino
self.transicion = transicion
self.estadosPosibles = estadosPosibles
def establecer_inic... | JoseZapataJ/Compiladores | Practica1/Automatas.py | Automatas.py | py | 2,361 | python | es | code | 0 | github-code | 13 |
906387567 | import re
import string
import sys
class VerifierReader(object):
def __init__(self, text):
self.text = text
self.position = 0
def HasNext(self):
return self.position < len(self.text)
def Read(self, target):
actual = self.text[self.position : self.position + len(target)]
assert actual == ta... | jonathanirvings/icpc-jakarta-2020 | robust/verifier.py | verifier.py | py | 4,866 | python | en | code | 11 | github-code | 13 |
5979348171 | # importing json and urllib library
import json
from urllib.request import urlopen
def main():
try:
# Storing URL in url
url = "https://raw.githubusercontent.com/prust/wikipedia-movie-data/master/movies.json"
# storing the url response
response = urlopen(url)
# storing JSON r... | Mahesh3655/Assignment2 | NumberOfMovies.py | NumberOfMovies.py | py | 1,088 | python | en | code | 0 | github-code | 13 |
2895548416 | # Variables
# As seen so far, we don't put data type for variables, it automatically judges the data type
a=10
b=10.0
c="10"
d='10'
e='''10'''
print(a,b,c,d,e)
# use type() for getting it's type
print(type(a),type(b),type(c),type(d),type(e))
# we can assign values like this also
a,b,c=10,20,30
#this could be used f... | AdarshRise/Python-Nil-to-Hill | 1. Nil/7. Variable.py | 7. Variable.py | py | 1,061 | python | en | code | 0 | github-code | 13 |
20346821283 | from .porttypebase import DPWSPortTypeBase, WSDLMessageDescription, WSDLOperationBinding, mk_wsdl_two_way_operation
from .porttypebase import msg_prefix
from sdc11073.dispatch import DispatchKey
from sdc11073.namespaces import PrefixesEnum
class GetService(DPWSPortTypeBase):
port_type_name = PrefixesEnum.SDC.tag(... | Draegerwerk/sdc11073 | src/sdc11073/provider/porttypes/getserviceimpl.py | getserviceimpl.py | py | 9,319 | python | en | code | 27 | github-code | 13 |
39812352529 | import itertools
import pandas as pd
import numpy as np
import pathlib
import sqlalchemy
import sys
def calculate_parameters(data):
data['rrt'] = data['RT'] / data['is_RT']
data['ion_ratio'] = data['peak_area'] / data['confirming_ion_area']
data[['rrt', 'ion_ratio']] = data[['rrt', 'ion_ratio']].apply(pd.... | pablouw/opiateDashboard | process_data.py | process_data.py | py | 3,715 | python | en | code | 0 | github-code | 13 |
42482317404 | #
# Bentobox
# SDK - Simulation
# Simulation
#
from typing import Iterable, List, Optional, Set
from bento.client import Client
from bento.ecs.grpc import Component, Entity
from bento.graph.compile import ConvertFn, compile_graph
from bento.protos import sim_pb2
from bento.spec.ecs import ComponentDef, EntityDef, Sys... | bentobox-dev/bento-box | sdk/bento/sim.py | sim.py | py | 10,643 | python | en | code | 0 | github-code | 13 |
13429854622 | from django.urls import path
from . import views
urlpatterns = [
path('', views.index, name='index'),
path("busqueda_en_inventario/", views.busqueda_en_inventario, name='busqueda en inventario'),
path("reporte_de_inventario/", views.reporte_de_inventario, name='reporte de inventario'),
path("busqueda_... | Baalzul/proyect | distribucion/urls.py | urls.py | py | 726 | python | es | code | 0 | github-code | 13 |
72855485457 | from __future__ import absolute_import
import os
import sys
from st2common import log as logging
from st2common.service_setup import setup as common_setup
from st2common.service_setup import teardown as common_teardown
from st2common.util.monkey_patch import monkey_patch
from st2actions.notifier import config
from st2... | kkkanil/mySt2 | st2actions/st2actions/cmd/st2notifier.py | st2notifier.py | py | 1,255 | python | en | code | 0 | github-code | 13 |
41837438414 | import argparse
import re
from tsm.util import read_file_to_lines, write_lines_to_file
parser = argparse.ArgumentParser()
parser.add_argument('input_file')
parser.add_argument('map_file')
parser.add_argument('output_file')
parser.add_argument('--col', type=int, help="starting from which column")
parser.add_argument('... | Chung-I/ChhoeTaigiDatabase | syl2phone.py | syl2phone.py | py | 1,232 | python | en | code | null | github-code | 13 |
17342179866 | #!/usr/bin/python3
import argparse
import binascii
from textwrap import wrap
from intelhex import IntelHex as IH
parser = argparse.ArgumentParser(description='Analyze Zephyr FCB storage and print contents.')
parser.add_argument('file', help='binary dump of the storage partition')
def fcb_crc8(data):
crc8_ccitt_s... | maz3max/ble-coin | prod/analyze_fcb.py | analyze_fcb.py | py | 4,038 | python | en | code | 7 | github-code | 13 |
7165630295 | import time
class HtmlExporter:
"""Class to export NETSCAPE-Bookmark-file-1 format HTML bookmarks file.
NOTE: Data is immediately written through `output_file` handle in order to avoid memory overflows trying to
concatenate the text.
"""
def export_html(self, bookmarks_bar, bookmarks_menu, other... | digital-engineering/bookmarks-consolidator | bookmarks_consolidator/html_exporter.py | html_exporter.py | py | 2,565 | python | en | code | 7 | github-code | 13 |
15486488741 | # To manage HttpResponses:
from django.shortcuts import render, redirect
from django.http import HttpResponse, HttpRequest
from django.template import Context
# To manage templates:
from django.template.loader import get_template
# For security:
from django.views.decorators.csrf import csrf_exempt
from django.template.... | pablopavon23/TFG | motas/views.py | views.py | py | 12,192 | python | es | code | 0 | github-code | 13 |
37022962406 | from keras.datasets import mnist
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.layers.convolutional import Convolution2D, MaxPooling2D
from keras.utils import np_utils
batch_size = 128
nb_epoch = 10
nb_filters = 32
nb_pool = 4
nb_conv = 3
(X_train, ... | vks4git/Machine-learning | task11/main_t11.py | main_t11.py | py | 1,516 | python | en | code | 0 | github-code | 13 |
38399548474 | import numpy as np
import tensorflow as tf
def SPP_layer(input, levels=3, name='SPP_layer', pool_type='max'):
shape = input.shape
with tf.variable_scope(name):
for l in range(levels):
l = 2 ** l
ksize = [1, np.ceil(shape[1] / l + 1).astype(np.int32), np.ceil(shape[2] / l + 1... | saberholo/Anime_cnn | SPP.py | SPP.py | py | 1,153 | python | en | code | 0 | github-code | 13 |
3334881906 | import numpy as np
import os
import random
import datetime
import numpy as np
from tqdm import tqdm
import matplotlib.pyplot as plt
import torch
from torch import nn
import torch.optim as optim
import torch.nn.functional as F
from torch.autograd import Variable
from torch.utils.data.sampler import BatchSampler, Subset... | nsidn98/Transfer-Learning-for-RL | src/coinrun/main.py | main.py | py | 4,176 | python | en | code | 1 | github-code | 13 |
19734014881 | from flask import Flask
import connexion
from swagger_server import encoder
from flask_cors import CORS
# print a nice greeting.
def say_hello(username = "World"):
return '<p>Hello %s!</p>\n' % username
# some bits of text for the page.
header_text = '''
<html>\n<head> <title>EB Flask Test</title... | HebbaleLabs/Python-Assessment-Template | application.py | application.py | py | 1,666 | python | en | code | 0 | github-code | 13 |
33018633786 | import os
import sol4
import time
def main():
experiments = ['living_room.mp4']
for experiment in experiments:
trans = True
exp_no_ext = experiment.split('.')[0]
os.system('mkdir dump')
path = 'dump/' + exp_no_ext
os.mkdir(path)
os.system('ffmpeg ... | damebrown/IMPR_ex4 | my_panorama.py | my_panorama.py | py | 818 | python | en | code | 0 | github-code | 13 |
7455792329 | import os
import subprocess
import numpy as np
import itertools
import time
import pickle
def make_idun_train_ann_test_job(
dim,
index,
I,
d,
K,
h,
tau,
it_max,
tol,
name):
filetext = f"""#!/bin/sh
#SBATCH --partition=CPUQ
#SBATCH... | TheBjorn98/nummat_p2 | make_idun_files.py | make_idun_files.py | py | 2,119 | python | en | code | 0 | github-code | 13 |
37719747621 | import numpy as np
import pandas as pd
import os
import random
import multiprocessing as mp
TRAIN_DATA = r'E:\NearXu\train_data\train_'
AUTOENCODER_TRAIN_PATH_CSV = r'E:\NearXu\autoencoder2\train_'
AUTOENCODER_TRAIN_CSV = r'E:\NearXu\autoencoder2\train.csv'
AUTOENCODER_TEST_CSV = r'E:\NearXu\autoencoder2\test.c... | neardws/fog-computing-based-collision-warning-system | train_autoencoder/get_autoencoder_train_data.py | get_autoencoder_train_data.py | py | 4,510 | python | en | code | 10 | github-code | 13 |
9844722345 | # -*- coding: utf-8 -*-
# pylint: disable=too-many-lines
import logging
import random
import time
import gevent
from gevent.event import AsyncResult
from gevent.queue import Empty, Queue
from gevent.timeout import Timeout
from random import randint
from ethereum import slogging
from ethereum.utils import sha3
from ... | utzig/raiden | raiden/tasks.py | tasks.py | py | 52,323 | python | en | code | null | github-code | 13 |
31126659944 | from django.db import models
from pods.models import User
# Data representing the underlying assets that a user wants to insure.
# there are differnt bits of information that are needed for each type of item
# These are all subsequenty organized into a single Risk model that is attached to the policy for each user via... | daxaxelrod/open_insure | policies/risk/models.py | models.py | py | 3,560 | python | en | code | 33 | github-code | 13 |
1391849265 | import copy
from math import log
import os.path
class AmplifierConfig:
def __init__(self, modification, sn):
self.__file_name = '__Config_Write_XXX_'
self.mod = modification
self.sn = sn
self.u_drv = 30
self.i_op = 650
self.i_eol = 661
self.nf = 4.35
... | Alexander2327/GUI-for-job | AmplifierConfig.py | AmplifierConfig.py | py | 8,112 | python | en | code | 0 | github-code | 13 |
10789097760 | from .KontroleryModeli.KontrolerKontaPrywatnego import KontrolerKontaPrywatnego
from .KontroleryModeli.KontrolerKontaFirmowego import *
from .KontroleryModeli.KontrolerSal import *
from .KontroleryModeli.KontrolerTerminow import *
from .KontroleryModeli.KontrolerRezerwacji import *
from .KontroleryModeli.KontrolerModel... | danielswietlik/WypozyczalniaSalKonferencyjnych | source/WarstwaBiznesowa/PosrednikBazyDanych.py | PosrednikBazyDanych.py | py | 1,895 | python | pl | code | 0 | github-code | 13 |
17078651514 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
from alipay.aop.api.domain.VoucherTemplateBudgetDTO import VoucherTemplateBudgetDTO
class AlipayAssetVoucherTemplateInfoQuerybudgetResponse(AlipayResponse):
def __init__(self):
sup... | alipay/alipay-sdk-python-all | alipay/aop/api/response/AlipayAssetVoucherTemplateInfoQuerybudgetResponse.py | AlipayAssetVoucherTemplateInfoQuerybudgetResponse.py | py | 1,177 | python | en | code | 241 | github-code | 13 |
32376721773 | from api.models.crud import check_id_exists_in_table, insert_tuple_on_open_stocks_table, retrieve_tuple_from_id, delete_tuple_from_table_by_id, update_tuples
from api.database.db_connection import OPEN_STOCKS_TABLE
from api.models.open_stocks.valid_ibovespa_symbols import check_if_symbol_is_valid
class OpenStock:
... | Gui-Luz/CarteiraAppApi | api/models/open_stocks/open_stocks.py | open_stocks.py | py | 7,577 | python | en | code | 0 | github-code | 13 |
17091595794 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
from alipay.aop.api.domain.WeatherInfo import WeatherInfo
class AnttechBlockchainDefinDataserviceWeatherinfosQueryResponse(AlipayResponse):
def __init__(self):
super(AnttechBlockch... | alipay/alipay-sdk-python-all | alipay/aop/api/response/AnttechBlockchainDefinDataserviceWeatherinfosQueryResponse.py | AnttechBlockchainDefinDataserviceWeatherinfosQueryResponse.py | py | 1,152 | python | en | code | 241 | github-code | 13 |
72425118418 | import os
import json
from flask import Flask, Response, jsonify, request
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy.orm import sessionmaker
from flask_cors import CORS
from flask_socketio import SocketIO, send
from IAModel import IAModel
from PredictedClass import ClassList
from core.definitions import CH... | lemmau/real-time-detector | flask-back/app.py | app.py | py | 8,180 | python | en | code | 0 | github-code | 13 |
73534348178 | import logging
import json
from flask import request, make_response, jsonify
from flask.views import MethodView
from flask_login import current_user
from burgeon import db
from burgeon.models import Goal, Task
log = logging.getLogger('burgeon.api.task.delete_task_api')
class DeleteTaskAPI(MethodView):
"""
D... | danielvinson/Burgeon | burgeon-server/burgeon/api/tasks/delete_task_api.py | delete_task_api.py | py | 1,340 | python | en | code | 1 | github-code | 13 |
40332714193 | import os
import re
import csv
import sys
from docutils import nodes
from sphinx.builders import Builder
detect_all = re.compile(r'''
::(?=[^=])| # two :: (but NOT ::=)
:[a-zA-Z][a-zA-Z0-9]+| # :foo
`| # ` (seldom used by itself)
(?<!\.)\.\.[ \t]*\w+: # .. foo: (but NOT... | kbengine/kbengine | kbe/src/lib/python/Doc/tools/extensions/suspicious.py | suspicious.py | py | 7,967 | python | en | code | 5,336 | github-code | 13 |
21419996698 | from darkflow.net.build import TFNet
import cv2
import numpy as np
options = {"model": "cfg/yolo.cfg", "load": "bin/yolo.weights", "threshold": 0.1}
tfnet = TFNet(options)
# 動画の読み込み
cap = cv2.VideoCapture("/content/darkflow/sample_movie/デモ.mp4")
# アウトプットの準備
output_file = "/content/darkflow/sample_movie/デモ_output.... | kanno0725/201106_kanno | test4.py | test4.py | py | 1,385 | python | en | code | 0 | github-code | 13 |
12732695580 | from django.conf import settings
from django.utils.html import format_html_join
from wagtail.core import hooks
@hooks.register("insert_editor_js")
def editor_js():
js_files = ["js/override_preview.js"]
return format_html_join(
"\n",
'<script src="{0}{1}"></script>',
((settings.STATIC_U... | michael-caktus/headless_wagtail_test | lp_test/wagtail_hooks.py | wagtail_hooks.py | py | 367 | python | en | code | 0 | github-code | 13 |
2993932369 | # -*- coding: utf-8 -*-
import os
from tencentcloud.common import credential
from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException
# 导入对应产品模块的client models。
from tencentcloud.soe.v20180724 import soe_client, models
from tencentcloud.common.profile.client_profile import Client... | Leavemaple/voice-recognition-evaluation | examples/soe/v20180903/init_oral_process.py | init_oral_process.py | py | 1,760 | python | en | code | 1 | github-code | 13 |
39132842472 | # 2292 벌집 - 구글링
# 랜덤으로 숫자 N이 주어질 때 1이 있는 벌집 위치에서 N방 까지 거쳐가는 "단계"의 수를 찾기
# 즉, 숫자 N이 벌집에서 몇 겹째에 있는지
# 벌집의 개수가 6의 배수로 증가하면서 규칙적으로 한 겹씩 쌓인다.
# while문을 통해 6의 배수로 숫자 증가시키기 - N에 도달할 때 까지만
n = int(input())
honeycomb = 1 #벌집은 1부터 시작 -> 6의 배수로 증가할 예쩡 ( 1 , 6, 12, 18 ...)
count = 1 #벌집의 겹수를 나타내기 위한 변수
while n > honeycomb : #... | wndnjs2037/Algorithm | 백준/Bronze/2292. 벌집/벌집.py | 벌집.py | py | 757 | python | ko | code | 0 | github-code | 13 |
71876364497 | #!/usr/bin/env python3
# A program that prompts a user for two operators and operation (plus or minus)
# the program then shows the result.
# The user may enter q to exit the program.
calc1 = 0.0
calc2 = 0.0
operation = ""
# Missing colon at end of 'while' line
while (calc1 != "q"):
print("\nWhat is the first ope... | Binkledurg/mycode | broken01/ifixed.py | ifixed.py | py | 1,225 | python | en | code | 0 | github-code | 13 |
22334642425 | #Leetcode 1417. Reformat The String
class Solution:
def reformat(self, s: str) -> str:
result = ""
digits = []
alpha = []
for i in s:
if i.isdigit():
digits.append(i)
else:
alpha.append(i)
if abs(len(alpha)-len(digits))... | komalupatil/Leetcode_Solutions | Easy/Reformat The String.py | Reformat The String.py | py | 594 | python | en | code | 1 | github-code | 13 |
71473329617 | import numpy as np
from onnx.reference.ops._op import OpRunUnaryNum
class Hardmax(OpRunUnaryNum):
def _run(self, x, axis=None): # type: ignore
axis = axis or self.axis # type: ignore
x_argmax = np.argmax(x, axis=axis) # type: ignore
y = np.zeros_like(x)
np.put_along_axis(
... | onnx/onnx | onnx/reference/ops/op_hardmax.py | op_hardmax.py | py | 426 | python | en | code | 15,924 | github-code | 13 |
16863736563 | from __future__ import division
from __future__ import print_function
from builtins import range
from past.utils import old_div
import sys
import argparse
from mapperlite import MapperLite
import struct
import hashlib
import pysam
import chicago_edge_scores as ces
#import BamTags
from bamtags import BamTags
from chicag... | DovetailGenomics/HiRise_July2015_GR | scripts/chicago_support_bootstrap.py | chicago_support_bootstrap.py | py | 30,342 | python | en | code | 28 | github-code | 13 |
71808371858 | from vb2py.vbfunctions import *
from vb2py.vbdebug import *
from vb2py.vbconstants import *
import ExcelAPI.XLW_Workbook as P01
import proggen.M02_Public as M02
#import proggen.M02_global_variables as M02GV
#import proggen.M03_Dialog as M03
#import proggen.M06_Write_Header as M06
#import proggen.M06_Write_Header_LED2... | haroldlinke/pyMobaLedLib | python/proggen/M31_Sound.py | M31_Sound.py | py | 4,975 | python | en | code | 3 | github-code | 13 |
72144182737 | n = int(input('Digite um n > 0: '))
soma_p = 0
if n > 0:
for i in range(1, n+1):
i = i ** 2
soma_p += i
print(soma_p)
else:
print('input inválido!') | LogLucasRocha/UFABC | BCC/Estrutura de Repetição for/Exercicios Teoricos/SomaP.py | SomaP.py | py | 178 | python | pt | code | 0 | github-code | 13 |
72941944018 | def FindAngle (hour, minute):
degreePerMin = 360/60
degreeOfMin = degreePerMin * minute
#degree/x * x/hour = degree/hour
degreePerHour = 360/12
degreeOfHour = degreePerHour * (hour + minute/60)
# 30 * (3+0/60) = 90
# 0-90=90, 360-90-0=270
return min(abs(de... | isabellakqq/Alogorithm | math/Angle.py | Angle.py | py | 404 | python | en | code | 2 | github-code | 13 |
24129383424 | # Instructions :
# Create a class to handle paginated content in a website. A pagination is used to divide long lists of content in a series of pages.
# The Pagination class will accept 2 parameters:
# items (default: []): A list of contents to paginate.
# pageSize (default: 10): The amount of items to show in each p... | ydb5755/DI_Bootcamp | Week-8/Day-4/DailyChallenge/Pagination.py | Pagination.py | py | 3,672 | python | en | code | 0 | github-code | 13 |
21616011612 | import json
from bson.dbref import DBRef
from bson import json_util
import sys
import pymongo
import logging
from fuzzywuzzy import process
#Create and configure logger
logging.basicConfig(filename="server.log",
format='%(asctime)s %(message)s',
filemode='a')
... | SecEveryday/FlaskApp | dbaccesslibUserInfo.py | dbaccesslibUserInfo.py | py | 3,622 | python | en | code | 1 | github-code | 13 |
21690314697 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('aggregateur', '0018_settings_main_settings'),
]
operations = [
migrations.CreateModel(
name='WelcomeText',
... | Brachamul/elan-democrate | aggregateur/migrations/0019_auto_20151022_1926.py | 0019_auto_20151022_1926.py | py | 762 | python | en | code | 2 | github-code | 13 |
28447880020 | import csv
import os
import pickle
import time
from collections import defaultdict
import random
import pandas as pd
from scipy import sparse
import numpy as np
import logging
from spacy.cli.init_model import read_vectors
from src.utlis import filter_pair_by_class, batch_item_similarity_matrix
logging.basicConfig(l... | haonan3/CGIR | src/dataloader.py | dataloader.py | py | 8,734 | python | en | code | 5 | github-code | 13 |
32719505873 | import pandas as pd
import os
df = pd.read_csv("SF Visulisation/Police_Department_Incidents_-_Previous_Year__2016_.csv")
df = df.groupby(['Category', 'DayOfWeek']).count()
df.reset_index(inplace = True)
df = df[['Category', 'DayOfWeek', 'IncidntNum']]
df.rename(columns = {"IncidntNum": "Count"}, inplace = True)
... | alanshiau717/FIT3179 | data_wranging/crime_by_day.py | crime_by_day.py | py | 368 | python | en | code | 0 | github-code | 13 |
42652906446 | import os,json
import pickle
from torch.utils.data import Dataset
from torchvision import transforms
import torch
import torch.nn as nn
from PIL import Image
import torch.optim as optim
from torch.autograd import Variable
from torch.utils.data import DataLoader
import torchvision.models as models
from collections impor... | jia1995/char-CNN-RNN_pytorch | dataset.py | dataset.py | py | 3,734 | python | en | code | 0 | github-code | 13 |
31501333995 | from control_msgs.msg import JointTrajectoryAction, JointTrajectoryGoal
from trajectory_msgs.msg import JointTrajectoryPoint
import geometry_msgs.msg
import sensor_msgs.msg
import numpy as np
import threading
import rospy
class TopicLogger:
def __init__(self,topic_name,message_type,log_length,subscribe_buffer_l... | baxelrod/pr2_calibrated_ft | scripts/TopicLogger.py | TopicLogger.py | py | 4,794 | python | en | code | 1 | github-code | 13 |
26570386455 | """Chat receiver."""
import traceback
from websockets.exceptions import ConnectionClosedError
from chat import chat_events
from events import DummyEvent
from init import EVENT_QUEUE
from log import LOG
class ChatReceiver(object):
"""Chatreceiver."""
def __init__(self, connection) -> None:
"""Init.... | amorphousWaste/twitch_bot_public | twitch_bot/chat/chat_receiver.py | chat_receiver.py | py | 3,657 | python | en | code | 0 | github-code | 13 |
74150534416 |
import os
import shutil
import pickle
import copy
import torch
import pytorch_lightning as pl
import neurogym as ngym
from pytorch_lightning.callbacks import ModelCheckpoint
from neurogym.wrappers import PassAction, PassReward, Noise
from ttrnn.trainer import Supervised, A2C, MetaA2C
from ttrnn.dataset import Neurogym... | felixp8/ttrnn | scripts/rl_example.py | rl_example.py | py | 4,583 | python | en | code | 0 | github-code | 13 |
17047673474 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class AntMerchantExpandIotdeviceChangeModifyModel(object):
def __init__(self):
self._device_sn = None
self._gmt_created = None
self._order_id = None
self._policy_type = ... | alipay/alipay-sdk-python-all | alipay/aop/api/domain/AntMerchantExpandIotdeviceChangeModifyModel.py | AntMerchantExpandIotdeviceChangeModifyModel.py | py | 10,161 | python | en | code | 241 | github-code | 13 |
28157494330 | #External libs
import ast
import boto3
import json
import sys
import os
from botocore.exceptions import ClientError
#Establish our boto resources
client = boto3.client('lambda')
session = boto3.session.Session()
region = session.region_name
ec2Client = boto3.client('ec2')
def import_config(lambda_name, alias=False):
... | tunein/Maestro | maestro/providers/aws/import_lambda.py | import_lambda.py | py | 7,825 | python | en | code | 10 | github-code | 13 |
25982341602 | import sys
from PyQt6.QtWidgets import *
from PyQt6.QtGui import QPixmap, QImage, QClipboard
import qrcode
import pay_by_square
from PIL import ImageQt
from PyQt6 import uic, QtWidgets
from dialog import Dialog
from parser import getAccount
from parser import configChecker
class UI(QMainWindow):
#Opens dialog wind... | radoslavpalenik/SEPA-QR-generator | main.py | main.py | py | 2,631 | python | en | code | 0 | github-code | 13 |
2641273373 | email = input("Enter your Email ID: ")
domain = '@gmail.com'
ledo = len(domain)
lema = len(email)
sub = email[lema-ledo:]
if sub == domain:
if ledo != lema:
print("It is a valid Email ID: ")
else:
print("This is a invalid Email ID: ")
else:
print("This email ID is either not valid or belongs to some other domain... | avrajit-das/Python-Programming | Email_Checker.py | Email_Checker.py | py | 326 | python | en | code | 0 | github-code | 13 |
39151922455 | import cv2
import numpy as np
from glob import glob
import matplotlib.pyplot as plt
from tqdm import tqdm
from multiprocessing import Pool
from itertools import product
import pandas as pd
from well_matrix import Well
import datetime
from datetime import datetime
import os
from sklearn.cluster import KMeans
from collec... | sidguptacode/ML_AT_Interpretation | agglutination-detection/well_matrix_creation/compute_well_matrix.py | compute_well_matrix.py | py | 4,172 | python | en | code | 0 | github-code | 13 |
18304161525 | import pexpect
import sys
import ipaddress
def process_wordlist(filepath, shell):
fd = open(filepath, 'r')
for line in fd:
print("trying password:", line)
shell.sendline(line)
response = shell.expect(['#\$', '(yes/no)?', '[Tt]erminal type', '[Pp]ermission denied'], timeout=5)
if... | bhrtdas/Scripts | login-scripts-master/login-scripts-master/ssh_login.py | ssh_login.py | py | 1,613 | python | en | code | 0 | github-code | 13 |
26137422688 | import os
import sys
import struct
import ctypes
import ctypes.util
import functools
LIBNAME = 'libramses.so'
_physaddr_t = ctypes.c_ulonglong
BADADDR = _physaddr_t(-1).value
class RamsesError(Exception):
"""Exception class used to encapsulate RAMSES errors"""
@functools.total_ordering
class DRAMAddr(ctypes... | vusec/ramses | pyramses/__init__.py | __init__.py | py | 8,561 | python | en | code | 9 | github-code | 13 |
29402813688 | import datetime
import csv
import logging
from .models import Project
def do_upload_projects_from_csv(request):
"""Upload project data from csv into the database.
The given file should be in legal csv format and include the field names in its first row
"""
# get the given csv file name parametr from... | maozmussel/Demo | myworkspace/upload_data_from_csv.py | upload_data_from_csv.py | py | 1,509 | python | en | code | 0 | github-code | 13 |
8107288810 | from django.urls import path, include
from . import views
urlpatterns = [
path('', views.home, name='home'),
path('register', views.register, name='register'),
path('login', views.user_login, name='login'),
path('logout', views.user_logout, name='logout'),
path('hello', views.hello, name='hello'),
... | Cyrusluke925/languagefinder | languagefinder/urls.py | urls.py | py | 517 | python | en | code | 0 | github-code | 13 |
17088445804 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
from alipay.aop.api.domain.MsgSendErrorData import MsgSendErrorData
class AlipayOpenPublicMessagePreviewSendResponse(AlipayResponse):
def __init__(self):
super(AlipayOpenPublicMess... | alipay/alipay-sdk-python-all | alipay/aop/api/response/AlipayOpenPublicMessagePreviewSendResponse.py | AlipayOpenPublicMessagePreviewSendResponse.py | py | 1,102 | python | en | code | 241 | github-code | 13 |
15597690753 |
import os
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import glob
def format_loss_columns(df, col=""):
gabor_model_loss_suffix = len('tensor-')
df[f'{col}'] = df[f'{col}'].str[gabor_model_loss_suffix:]
df[f'{col}'] = df[f'{col}'].str.split(',').... | dineenai/fit_receptive_field | plot_rf_size.py | plot_rf_size.py | py | 6,382 | python | en | code | 0 | github-code | 13 |
25518348784 | import sys
import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.compose import ColumnTransformer
from sklearn.pipeline import Pipeline
from sklearn.ensemble import RandomForestRegressor
from sklearn.preprocessing import OneHotEncoder
from sklearn.metrics import r2_sco... | ysfesr/Laptop-Price-Prediction | Project/train.py | train.py | py | 4,822 | python | en | code | 3 | github-code | 13 |
30567836553 | import random
import Characters
import PlayerStrings
import BossStrings
import DropStrings
import CharactersGenerator
import InteractionParameters
import FightCycle
import FightStrings
class BossList():
list_easy = [BossStrings.Palich.name, BossStrings.Chaikovskii.name,
BossStrings.Viv.name, BossStr... | AssBurger69/BurgerGame | FightFunctions.py | FightFunctions.py | py | 7,667 | python | en | code | 0 | github-code | 13 |
9255633778 | from tkinter import *
from admin import Admin
from admin_gui import admin_gui
from manager import Manager
from managergui import Manager_Gui
from user import User
from usergui import User_Gui
class System_Gui(Tk):
def __init__(self, estate_system):
super().__init__()
self.estate_system = estate_sy... | cwilson98/projects | Estate Management System/systemgui.py | systemgui.py | py | 1,970 | python | en | code | 0 | github-code | 13 |
16502343137 | """
1. 엑셀 데이터 읽고 쓰기
2. 엑셀 데이터 편집하기
3. 엑셀 데이터 출력하기
4. XML 기상청 날씨 데이터 지역별 파싱 및 출력
5. 본인 거주 지역 날씨 정보 XML 파싱 및 출력
"""
import xml.etree.ElementTree as ET
from urllib.request import urlopen
from bs4 import BeautifulSoup
import numpy as np
import pandas as pd
# 기상청 URL
URL = 'http://www.weather.go.kr/weather/li... | So-chankyun/Crawling_Study | week3/extract_weather.py | extract_weather.py | py | 4,088 | python | ko | code | 0 | github-code | 13 |
35128720979 | class Solution:
def increasingTriplet(self, nums: List[int]) -> bool:
# https://leetcode.com/problems/increasing-triplet-subsequence/discuss/79004/Concise-Java-solution-with-comments.
# linear scan
# time O(n)
# space O(1)
n = len(nums)
if n < 3: ret... | aakanksha-j/LeetCode | 334. Increasing Triplet Subsequence/linear_scan_constant_space_1.py | linear_scan_constant_space_1.py | py | 565 | python | en | code | 0 | github-code | 13 |
5551584371 | array = list(map (int, input("Введите массив:").split()))
delta = input("Введите delta:")
try:
delta = int(delta)
except ValueError:
print("Ошибка")
exit()
c = abs(delta)
a = min(array)
b = len([x for x in array if x == a + c])
print(b) | maaar18/task6 | 1.py | 1.py | py | 271 | python | ru | code | 0 | github-code | 13 |
3139265197 | import os
from django_template.setting_basic import BASE_DIR
DEBUG = False
# -- add --
import logging
import django.utils.log
import logging.handlers
# -- modify --
LOGGING = {
'version': 1,
'disable_existing_loggers': True,
'formatters': {
'standard': {
'format': '%(asctime)s %(level... | mo891916/django_template | django_template/setting_prod.py | setting_prod.py | py | 2,808 | python | ar | code | 1 | github-code | 13 |
38796447020 | import pandas as pd
import numpy as np
np.random.seed(2)
from sklearn.model_selection import train_test_split
from keras.utils.np_utils import to_categorical
from keras.preprocessing.image import ImageDataGenerator
def normalize_data(X_train, test):
# Transforming the data, that is of range [0..255],
# to [... | lievi/cnn_tutorial | src/data/process_mnist.py | process_mnist.py | py | 1,475 | python | en | code | 0 | github-code | 13 |
73704427857 | from django.urls import path, include
from rest_framework.routers import DefaultRouter
from record import views
app_name = 'record'
class CustomDefaultRouter(DefaultRouter):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.trailing_slash = '/?'
router = CustomDefaultRo... | emilylu123/MindSpace_Angular_Django | MindSpaceApi/app/record/urls.py | urls.py | py | 532 | python | en | code | 1 | github-code | 13 |
8630176581 | from Training.util.binary import dc,assd
import os
import numpy as np
from Training.data_process.data_process_func import load_nifty_volume_as_array
def one_hot(img, nb_classes):
hot_img = np.zeros([nb_classes]+list(img.shape))
for i in range(nb_classes):
hot_img[i][np.where(img == i)] = 1
return h... | HiLab-git/SepNet | util/visualization/evalution.py | evalution.py | py | 2,262 | python | en | code | 18 | github-code | 13 |
11642118382 | import json
import pytest
from unittest.mock import patch, mock_open, MagicMock
from checkout_and_payment import checkoutAndPayment, update_users_json, products
@pytest.fixture
def mock_open_users_file():
"""Fixture to mock opening of the users file with predefined user data."""
users = [{"username": "user1", ... | guritaalexandru/SoftwareTestingA1 | A1_unit_testing_students/test_checkout_and_payment.py | test_checkout_and_payment.py | py | 5,064 | python | en | code | 0 | github-code | 13 |
43351515673 | import sys
import heapq
right_left = [(0, 1), (0, -1)]
up_down = [(-1, 0), (1, 0)]
n, m = map(int, sys.stdin.readline().split())
matrix = list()
for _ in range(n):
matrix.append(list(map(int, sys.stdin.readline().split())))
d = int(sys.stdin.readline())
item_list = list()
for _ in range(d):
a, b = map(in... | W00SUNGLEE/codingmasters | 4263/4263.py | 4263.py | py | 1,784 | python | en | code | 0 | github-code | 13 |
72943534418 | # Write a program that reads a single string with
# numbers separated by comma and space ", ". Print the indices of all even numbers.
string = input().split(", ")
# с лист компрехеншан
int_as_str_1 = [int(i) for i in string]
# с мап
int_as_str = list(map(int, string))
# с лист компрехеншан
filter1 = [index for inde... | Andon-ov/Python-Fundamentals | 13_lists_advanced_lab/05_even_numbers.py | 05_even_numbers.py | py | 592 | python | en | code | 0 | github-code | 13 |
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