seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 ⌀ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
values | doc_type stringclasses 1
value | stars int64 0 179k ⌀ | dataset stringclasses 3
values | pt stringclasses 78
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
13145861341 | from model.component.component_specification import ComponentSpecification
from model.component.socket.socket_specification import SocketSpecification
from model.component.subgraph_component import SubgraphComponentModel
from model.module.prototype_specifications import PrototypeSpecifications
from model.module.toolbox... | MichSchli/Mindblocks | model/component/component_repository.py | component_repository.py | py | 5,570 | python | en | code | 0 | github-code | 36 |
3674524668 | #Importing pyplot submodule
import matplotlib.pyplot as plt
import numpy as np
x = np.array(['Apples','Bananas','Lichi','Pineapple'])
y = np.array([100,45,60,90])
#using bar() to represent data in bar graph
plt.subplot(1,2,2)
plt.bar(x,y, width = 0.5)
plt.title('Vertical')
plt.show()
#for showing the... | manudeepsinha/daily_commit | 2020/12/Python/23_matplotlib_bar.py | 23_matplotlib_bar.py | py | 524 | python | en | code | 0 | github-code | 36 |
35383679834 | #!/usr/bin/env python3
from sys import exit
from collections import Counter
import random
from statistics import mean
from TALinputs import TALinput
from multilanguage import Env, Lang, TALcolors
import mastermind_utilities as Utilities
# METADATA OF THIS TAL_SERVICE:
args_list = [
('max_num_attempts',int),
... | romeorizzi/TALight | example_problems/tutorial/mastermind/services/eval_driver.py | eval_driver.py | py | 3,432 | python | en | code | 11 | github-code | 36 |
6884335052 | import time
import torch
torch.set_printoptions(precision=7)
from addict import Dict as adict
from torch.nn import functional as F
from zerovl.core import DistHook, HookMode, WandbHook
from zerovl.core.hooks.log import LogHook
from zerovl.core.runners.builder import RUNNER
from zerovl.core.runners.epoch_runner impor... | zerovl/ZeroVL | zerovl/tasks/clip/clip_bsgs_runner.py | clip_bsgs_runner.py | py | 18,843 | python | en | code | 39 | github-code | 36 |
71578877863 | # !/usr/bin/env python
# -*- coding: utf-8 -*-
import vtk
def main():
cps = vtk.vtkConvexPointSet()
points = vtk.vtkPoints()
points.InsertNextPoint(0, 0, 0)
points.InsertNextPoint(1, 0, 0)
points.InsertNextPoint(1, 1, 0)
points.InsertNextPoint(0, 1, 0)
points.InsertNextPoint(0, 0, 1)
... | lorensen/VTKExamples | src/Python/GeometricObjects/ConvexPointSet.py | ConvexPointSet.py | py | 2,484 | python | en | code | 319 | github-code | 36 |
16157216808 | import pandas as pd
from django.contrib.auth.decorators import login_required
from django.contrib.sites.shortcuts import get_current_site
from django.http import HttpResponse
from django.urls import reverse
from researcher_UI.models import Administration
@login_required
def download_links(request, study_obj, administ... | langcog/web-cdi | webcdi/researcher_UI/utils/download/download_links.py | download_links.py | py | 1,991 | python | en | code | 7 | github-code | 36 |
30952198138 | import requests
class Polyline:
def __init__(self) -> None:
self.users = dict()
self.polylines = []
self.matches = []
def add(self, ID: int, name: str, ph_no: int, source: list, destination: list) -> None:
polyline = Polyline.__get_polyline(source, destination)
self.po... | Sivaram46/pool-ride | polyline.py | polyline.py | py | 4,465 | python | en | code | 2 | github-code | 36 |
3238104451 | import numpy as np
import pandas as pd
#from sklearn.cluster import KMeans
import matplotlib.pyplot as plt
import xlwt
import KMeans
import Visualization
plt.rcParams['font.sans-serif'] = ['SimHei'] # 用来正常显示中文标签
plt.rcParams['axes.unicode_minus'] = False # 用来正常显示负号
points = []
center_points = []
K = 4
file="D:\\ex... | JiaoZixun/Recommend_By_Canopy-K-means | recommend——豆瓣/对比实验——K-means聚类.py | 对比实验——K-means聚类.py | py | 1,454 | python | en | code | 18 | github-code | 36 |
30662323647 | from datetime import datetime, timedelta
from pytz import timezone
from dateutil.relativedelta import relativedelta
data_1 = datetime(2023, 10, 30, 17, 10, 59)
print(data_1)
data_str = "2023-10-30 17:18:59"
data_str_formatter = "%Y-%m-%d %H:%M:%S"
data_2 = datetime.strptime(data_str, data_str_formatter)
print(data_... | juannaee/WorkSpace-Python-Intermediario | SEÇÃO 4/datetime/main1.py | main1.py | py | 994 | python | en | code | 0 | github-code | 36 |
5547555689 | """
Tests for voting 13/01/2022.
"""
from sys import version
from collections import namedtuple
from brownie import interface, reverts
from scripts.vote_2022_01_13 import start_vote
from tx_tracing_helpers import *
from utils.config import (
lido_dao_lido_repo,
lido_dao_node_operators_registry_repo,
)
lido_o... | lidofinance/scripts | archive/tests/xtest_2022_01_13.py | xtest_2022_01_13.py | py | 5,965 | python | en | code | 14 | github-code | 36 |
2314864237 | # if-elif
"""
a=int(input("Enter a : "))
b=int(input("Enter b: "))
if(a>b):
print("a is greater than b")
elif(b>a):
print("b is greater than a")
else:
print("a and b are equal")
"""
# program for leap year
"""
year = int(input("Enter year: "))
if(year%4==0):
if(year%100==0):
if(year%400==0):
... | sudeepsawant10/python-development | basic/7_ifelse.py | 7_ifelse.py | py | 944 | python | en | code | 0 | github-code | 36 |
18405451718 | #!/usr/bin/env python3
import boto3
import argparse
import os
import base64
from common_functions import getAllInstances, getDynamoDBItems
from common_jenkins import triggerJob
from common_kms import get_plaintext_key
parser = argparse.ArgumentParser()
parser.add_argument("-e", "--env", help="Staging or Production", ... | trtruong/utilities | scripts/python/checkOrphanedInstances.py | checkOrphanedInstances.py | py | 4,165 | python | en | code | 0 | github-code | 36 |
25305879977 | __author__ = 'diegopinheiro'
from common.attribute import Attribute
import math
import numpy
class AttributeConverter:
@staticmethod
def get_representation(attribute=Attribute(), category=None):
number_representation = AttributeConverter.get_number_representation(attribute=attribute)
categor... | diegompin/genetic_algorithm | common/attribute_converter.py | attribute_converter.py | py | 1,144 | python | en | code | 1 | github-code | 36 |
227921979 | """
定义函数,对数字列表进行升序排列
"""
def ascending(target):
for r in range(len(target) - 1): # 0 1 2
for c in range(r + 1, len(target)): # 123 23 3
if target[r] > target[c]:
# 2. 修改可变数据
target[r], target[c] = target[c], target[r]
# 3. 无需通过return返回
# 1. ... | testcg/python | code_all/day09/homework/exercise05.py | exercise05.py | py | 455 | python | zh | code | 0 | github-code | 36 |
26552867136 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2020/4/12 23:29
# @Author : DZQ
# @File : main.py
import sys
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtCore import QThread, pyqtSignal
from PyQt5.QtWidgets import *
import xlrd
from threading import Thread
import json
from BaiduIndexSpider import B... | dzqann/BaiduIndex | main.py | main.py | py | 9,586 | python | en | code | 9 | github-code | 36 |
36289714812 | from kafka.admin import KafkaAdminClient, ConfigResource, ConfigResourceType
TOPIC_NAME = "kafka.client.tutorial"
BOOTSTRAP_SERVER_HOST = "kafka_tutorial:9092" # 카프카 클러스터 서버의 host와 port를 지정
admin_client = KafkaAdminClient(
bootstrap_servers=BOOTSTRAP_SERVER_HOST
)
print("== Get broker information")
# return typ... | 2h-kim/kafka-personal-study | simple-kafka-admin-client/kafka-admin-client.py | kafka-admin-client.py | py | 1,069 | python | en | code | 0 | github-code | 36 |
3835970469 | import json
import pandas as pd
import numpy as np
import filenames
myjson = {
"arm": {
"malware": [],
"benign": []
},
"mips": {
"malware": [],
"bening": []
}
}
df_arm_malware_forpoison = pd.read_csv(filenames.forpoison_arm_malware, header=None, index_col=False)
myjso... | ZsZs88/Poisoning | filepicker.py | filepicker.py | py | 1,111 | python | en | code | 0 | github-code | 36 |
7436949724 | from plot import *
merge = pd.read_pickle('./pkl/sig/cap_df_fragment_size.pkl')
merge['mtu'] = merge['algo'].str.split('_', expand=True)[1]
merge['mtu'] = merge['mtu'].astype(int)
cap_size_df = merge[['algo','run','frame_nr','frame_len', 'mtu']].groupby(['algo','run','frame_nr']).agg({'mtu': 'first', 'frame_len': 'fi... | crest42/hostapd | eap_radius_test/scripts/plot_box_fragment_size.py | plot_box_fragment_size.py | py | 616 | python | en | code | 0 | github-code | 36 |
15991913621 | #!/usr/bin/python
from Constants import Constants as cnt
from CoinDaemon import CoinDaemon
from bitcoinrpc.authproxy import AuthServiceProxy
class Wallet:
"""Provides a high-level abstraction of a coin wallet and simplifies
the process of making JSON API RPC calls to the coin wallet
daemon"""
walletPa... | chriscassidy561/coinScript | Wallet.py | Wallet.py | py | 2,828 | python | en | code | 0 | github-code | 36 |
73605974825 | class Solution(object):
def firstUniqChar(self, s):
"""
:type s: str
:rtype: int
"""
# 1. Create a hashmap that the character's ascii value as index
hashmap = [-1 for j in range(123)]
# 2. Go through the string and add 1 in the hashmap once the character appea... | yichenfromhyrule/LeetCode | #387_FirstUniqueCharacterInAString.py | #387_FirstUniqueCharacterInAString.py | py | 692 | python | en | code | 0 | github-code | 36 |
34916305882 | import numpy as np
import matplotlib.pyplot as plt
with open("../buildxcode/cte.txt") as f:
data = f.read()
data = data.split('\n')
x = [float(i) for i in data]
fig = plt.figure()
ax1 = fig.add_subplot(111)
ax1.set_title("CTE")
ax1.set_ylabel('CTE')
ax1.plot(x,... | suprnrdy/CarND-PID-Control-Project-master | src/plotCTE.py | plotCTE.py | py | 341 | python | en | code | 0 | github-code | 36 |
28052800472 | from pprint import pprint
import sys
import traceback
def print_pretty(obj):
pprint(obj)
def print_block(string, end="\n"):
hash_num = 45
print("\n\n")
print("#" * hash_num)
mid_hash_num = min((hash_num - len(string) - 2) // 2, 3)
mid_hash = "#" * mid_hash_num
mid_space = " " * ((hash_n... | Xinyu-Li-123/DefenseEval | DefenseEval/utils/utils.py | utils.py | py | 2,237 | python | en | code | 0 | github-code | 36 |
459210709 | import requests
import json
import ntpath
class Jira:
"""Common JIRA API methods.
JIRA's REST APIs provide access to resources (data entities) via URI paths. To use a REST API, your application will
make an HTTP request and parse the response. The JIRA REST API uses JSON as its communication format, and ... | mjlabe/python-atlassian-server-api | atlassian_server_api/jira.py | jira.py | py | 6,655 | python | en | code | 0 | github-code | 36 |
10183845847 | from utils import evaluation_utils, embedding_utils
from semanticgraph import io
from parsing import legacy_sp_models as sp_models
from models import baselines
import numpy as np
from sacred import Experiment
import json
import torch
from torch import nn
from torch.autograd import Variable
from tqdm import *
import ast... | jack139/gp-gnn_test | train.py | train.py | py | 9,172 | python | en | code | 0 | github-code | 36 |
34932827697 | maiores = mulheres20 = homens = 0
while True:
i = int(input('Digite a idade: '))
s = ' '
while s not in 'MF':
s = str(input('Digite o sexo [M/F]: ')).strip().upper()[0]
r = ' '
while r not in 'SN':
r = str(input('Deseja continuar cadastrando [S/N]? ')).strip().upper()[0]
if i > 1... | lucasaguiar-dev/Questoes-Python | Projeto donwload/PythonExercicios/ex069.py | ex069.py | py | 620 | python | pt | code | 0 | github-code | 36 |
7774676634 | from urllib.request import urlopen
from bs4 import BeautifulSoup
import ssl
# Ignore SSL certificate errors
ctx = ssl.create_default_context()
ctx.check_hostname = False
ctx.verify_mode = ssl.CERT_NONE
url = input('Enter URL: ')
count2 = input('Enter count: ')
position = input('Enter position: ')
count2 = int(count2... | laurmvan/SI206-Fall2017 | HW6/HW6_PartB.py | HW6_PartB.py | py | 875 | python | en | code | null | github-code | 36 |
22536995817 | #!/usr/bin/env python3
import rospy
from std_msgs.msg import Float64MultiArray, Float64
import time
from controller_manager_msgs.srv import SwitchController
# To run this file:
# roslaunch gazebo_ros empty_world.launch
# rosrun gazebo_ros spawn_model -file `rospack find ur5-joint-position-control`/urdf/ur5_jnt_pos_c... | Gaurav37/Tossingbot | ur5-joint-position-control/scripts/trajectory_command.py | trajectory_command.py | py | 3,256 | python | en | code | 1 | github-code | 36 |
16793418016 | import pygame
from battle import time, MOVE_DOWN_FREQ, BOARD_HEIGHT, BOARD_WIDTH, BLANK, POISON, SHAPES, BOX_SIZE, \
TEMPLATE_HEIGHT, TEMPLATE_WIDTH, MOVE_SIDE_WAYS_FREQ
from utils import get_new_piece, get_blank_board, calculate_level_and_fall_frequency, is_valid_position
from pygame.locals import *
BOARD_OFFSET ... | dadisi/battle-tetro | battle/player.py | player.py | py | 8,220 | python | en | code | 0 | github-code | 36 |
70537611943 | import elasticsearch
import json
import luigi
from elasticsearch.helpers import bulk
from luigi.contrib import esindex
from nfl import scraper
class IngestData(luigi.Task):
category = luigi.Parameter()
year = luigi.Parameter()
def output(self):
target = luigi.LocalTarget("output/{0}/{1}.json".f... | jasonmotylinski/luigi-presentation | pipeline-py/luigi/luigipipeline/demo5.py | demo5.py | py | 1,753 | python | en | code | 1 | github-code | 36 |
19536790306 | """
This module contains numerical method approach
to determine heston model price for a set of
parameters
"""
import numpy as np
from model.implied_volatility.core.implied_vol import implied_volatility_call
def get_heston_price(row):
"""
Generates simultaneous simulation of stock price and
volatility pr... | Karanpalshekhawat/option-pricing-and-implied-volatility-using-NNs | model/implied_volatility/core/heston_model_pricing.py | heston_model_pricing.py | py | 3,255 | python | en | code | 1 | github-code | 36 |
26744639927 | import argparse
import os
import time
import numpy as np
import torch
import torch.optim as optim
import torch.nn as nn
from torch.utils.data import DataLoader
from data_loader import CSV_PNG_Dataset, CSV_PNG_Dataset_2D, PNG_PNG_Dataset
from netArchitecture.VGG import VGGModel, VGGModel_2D
from netArchitecture.ResNe... | yuanlinping/deep_colormap_extraction | train.py | train.py | py | 10,586 | python | en | code | 7 | github-code | 36 |
44771327846 | def extract_info(corona_list):
result = []
for corona in corona_list:
info = corona.contents
corona_info = {
'city' : info[1].string,
'city_detail' : info[2].string,
'name' : info[3].text,
'phone' : info[4].string
}
result.append(corona_info)
return result | sumins2/homework | session09_crawling/corona.py | corona.py | py | 309 | python | en | code | 0 | github-code | 36 |
14433470190 | import operator
# 알파벳 대소문자로 된 단어가 주어지면,이 단어에서 가장 많이 사용된 알파벳이 무엇인지 알아내는 프로그램을 작성하시오.
# 단, 대문자와 소문자를 구분하지 않는다.
word = input().strip()
word = word.upper()
count = {} #딕셔너리 사용
list1 = list(word)
#print(type(count)) #<class 'dict'>
for i in list1 : #알파벳을 하나씩 꺼낸다
try: count[i] += 1 #이미 존재하면 +1
except: count[i] = 1... | pivotCosmos/algorithm | 202206/ex0608/1157_mostAlphabet.py | 1157_mostAlphabet.py | py | 1,331 | python | ko | code | 0 | github-code | 36 |
20341081409 | import hashlib
class Block:
def __init__(self, index, timestamp, data, previous_hash):
self.index = index
self.timestamp = timestamp
self.data = data
self.previous_hash = previous_hash
self.hash = self._hash_block()
def _hash_block(self):
sha = hashlib.sha256()... | rdempsey/simple-python-blockchain | spb/lib/block.py | block.py | py | 835 | python | en | code | 0 | github-code | 36 |
37569791661 | def extract_times(raw_times_dict):
"""
Extract the actual time values from the data provided by the SRC Run API.
"""
actual_times = {}
if raw_times_dict["realtime"] is not None:
actual_times["realtime"] = raw_times_dict["realtime_t"]
if raw_times_dict["realtime_noloads"] is not None:
... | JoshSanch/run_migrator | utils/src_conversion_utils.py | src_conversion_utils.py | py | 1,836 | python | en | code | 2 | github-code | 36 |
74189117224 | #reverses the process of the spritesheetCreator script
from PIL import Image
import sys
#sets all the variables we need to accurately crop the images
imageAmount = 0
i = 1
width = 0
height = 0
maxWidth = 0
maxHeight = 0
counter = 0
row = 0
column = 0
#searches for the file saved by the spritesheet script... | IrrationalThinking/portfolio | Example/reversal.py | reversal.py | py | 2,172 | python | en | code | 0 | github-code | 36 |
14806312325 | class Item:
def __init__(self, type, area):
self.type = type
self.area = area
def __str__(self):
return '类型：%s，属性：%s' % (self.type, self.area)
class Home:
def __init__(self, address, area):
self.address = address
self.area = area
self.free_area = area
... | penguinsss/Project | 面向对象/练习/家具.py | 家具.py | py | 895 | python | en | code | 0 | github-code | 36 |
25187912716 | # -*- coding: utf-8 -*-
#
#
# TheVirtualBrain-Framework Package. This package holds all Data Management, and
# Web-UI helpful to run brain-simulations. To use it, you also need do download
# TheVirtualBrain-Scientific Package (for simulators). See content of the
# documentation-folder for more details. See also http:/... | suraj1074/tvb-library | tvb/datatypes/local_connectivity_scientific.py | local_connectivity_scientific.py | py | 3,029 | python | en | code | null | github-code | 36 |
30414663349 | # 03.Faça um programa que leia e valide as seguintes informações:
# Nome: maior que 3 caracteres;
# Idade: entre 0 e 150;
# Salário: maior que zero;
# Sexo: 'f' ou 'm';
# Estado Civil: 's', 'c', 'v', 'd';
# Use a função len(string) para saber o tamanho de um texto (número de caracteres)
in_name = str(input('insira seu... | KIINN666/crispy-umbrella | cadastro_v2.0.py | cadastro_v2.0.py | py | 1,222 | python | pt | code | 0 | github-code | 36 |
74088296424 | """
Normally step 1 to align trimmed reads
e.g.
"""
import os
import sys
from tqdm import trange
from joblib import Parallel, delayed
import re
input_root = sys.argv[1]
output_root = sys.argv[2]
genome_dir = sys.argv[3]
subdirs = []
for subdir, dirs, files in os.walk(input_root):
for file in files:
subdir... | ZhaoxiangSimonCai/BioInfoScripts | RNA_workflows/star_by_folders.py | star_by_folders.py | py | 931 | python | en | code | 0 | github-code | 36 |
40571473891 | import reflex as rx
gradient = "linear(to-l, #7928CA, #FF0080)"
background_gradient = "bgGradient='radial-gradient(circle, rgba(238,174,202,1) 0%, rgba(148,187,233,1) 100%);',"
shadow = "0 0 5px 5px #FF0080"
# Common styles for de app.
app_style = dict(
bgGradient=background_gradient
)
# Common styles... | BortPablo/reflex_portfolio | reflex_test/style.py | style.py | py | 1,182 | python | en | code | 0 | github-code | 36 |
3084548560 | from datetime import datetime
from metloom.pointdata import SnotelPointData
from conversions import imperial_to_metric
def get_snotel_data(name, site_id, dates):
snotel_point = SnotelPointData(site_id, name)
df = snotel_point.get_daily_data(
dates[0], dates[1],
[snotel_point.ALLOWED_VARIABLES.... | ZachKeskinen/uavsar-validation | src/funcs/snotel_extract.py | snotel_extract.py | py | 762 | python | en | code | 0 | github-code | 36 |
73692413545 | import mock
import testtools
from stackalytics.dashboard import helpers
class TestHelpers(testtools.TestCase):
@mock.patch('time.time')
def test_get_current_company(self, mock_time_time):
current_timestamp = 1234567890
mock_time_time.return_value = current_timestamp
user = {
... | Mirantis/stackalytics | stackalytics/tests/unit/test_helpers.py | test_helpers.py | py | 2,389 | python | en | code | 12 | github-code | 36 |
70679292584 | class OrderEvent(Event):
"""
Signifies event to execute order on stock.
"""
def __init__(self, symbol, order_type, quantity, direction):
self.type = "ORDER"
self.symbol = symbol
self.order_type = order_type
self.quantity = quantity
self.direction = direction
| kevshi/trading | event/order_event.py | order_event.py | py | 276 | python | en | code | 0 | github-code | 36 |
22264746136 | class RutaPeligrosa(Exception):
# Completar
def __init__(self, tipo_peligro, nombre_estrella):
super().__init__('¡Alto ahí viajero! Hay una amenaza en tu ruta...')
self.tipo_peligro = tipo_peligro
self.nombre_estrella = nombre_estrella
def dar_alerta_peligro(self):
if self.t... | Alzvil/IIC2233-Progra-Avanzada-Tareas-2021-1 | Actividades/AF2/excepciones_estrellas.py | excepciones_estrellas.py | py | 755 | python | es | code | 0 | github-code | 36 |
73915818985 | from .base import RegexVocabulary, left_pad, NoWildcardsVocabulary, NoRangeFillVocabulary, NoCheckVocabulary,\
ProcedureVocabulary, ModifierVocabulary
import re
from itertools import product
_hcpcs_split_regex = re.compile('^([A-Z]*)([0-9]+)([A-Z]*)$')
def hcpcs_split(code):
match = _hcpcs_split_regex.match(co... | modusdatascience/clinvoc | clinvoc/hcpcs.py | hcpcs.py | py | 2,356 | python | en | code | 8 | github-code | 36 |
31521862032 | class Solution(object):
def findRotateSteps(self, ring, key):
"""
:type ring: str
:type key: str
:rtype: int
"""
# the distance between two points (i, j) on the ring
n = len(ring)
def dist(i, j):
return min(abs(i - j), n - ... | szhu3210/LeetCode_Solutions | LC/514.py | 514.py | py | 858 | python | en | code | 3 | github-code | 36 |
18433559527 | import pygame
import random
import time
import turtle
# Class thể hiện đối tượng Câu hỏi
# Một đối tượng Question gồm có 2 fields:
# - question: đề bài
# - answer: đáp án
class Question:
def __init__(self, question, answer):
self.question = question
self.answer = answer
# Class thể hiện t... | aitomatic/contrib | src/aito/util/finalproject.py | finalproject.py | py | 7,485 | python | vi | code | 2 | github-code | 36 |
7796357868 | # 这道题和变形词的区别是旋转词只能变化一次，左变换后的部分依然是顺序的！
# 存在的问题：因为是拼接得到的，所以在此拼接可以得到原来的结果，所以只要判断s1是否在拼接后的字符串就可以了
# AC
def solution(s1, s2, n, m):
if n != m or sorted(s1) != sorted(s2):
return 'NO'
for i in range(n):
new_s2 = s2[i:] + s2[:i]
if new_s2 == s1:
return 'YES'
return 'NO'
# 得到... | 20130353/Leetcode | target_offer/字符串题/字符串变换-旋转词.py | 字符串变换-旋转词.py | py | 914 | python | zh | code | 2 | github-code | 36 |
74113768742 | import click
# import pickle
# import cv2
from recognize import process, recognize, draw, show
@click.command()
@click.argument('image')
@click.option('--encodings', '-e', default='encodings.pickle', help='path to db of BTS facial encodings.')
@click.option('--detection', default='cnn', help='Which face detection mode... | cache-monet/bts_recognition | image.py | image.py | py | 741 | python | en | code | 1 | github-code | 36 |
2259081804 | import pyperclip as pc
names = ["Apple", "Banana", "Cherry", "Dog", "Elephant"]
present = []
absent = []
not_audio = []
asking = True
number = 0
while asking:
question = names[number]
answer = input(question + ": ")
if answer == "p":
present.append(question)
if answer == "a":
absent.ap... | PythonGeek07/Attendance-_Bot | main.py | main.py | py | 1,288 | python | en | code | 0 | github-code | 36 |
40059338303 | class Conversion:
# Code created by Luke Reddick
# Please use inputs of one character, so C, F, K, c, f ,k
# for celsius, fahrenheit, and Kelvin respectively
convertFrom = str((input("What temperature are you converting from? (C/F/K) : " + "\n")))
convertTo = str((input("What temperatur... | Lukares/Asides | conversionTemp.py | conversionTemp.py | py | 2,455 | python | en | code | 0 | github-code | 36 |
13988027867 | import numpy as np
from scipy.interpolate import interp1d
from skfmm import travel_time, distance
from scipy.signal import resample
def resample2d( x, shape=[] ):
if len(shape)==0:
raise ValueError('shape should not be empty.')
x1=resample(x,shape[0],axis=0)
x2=resample(x1,shape[1],axis=1)
... | wsavran/sokrg | krg_utils.py | krg_utils.py | py | 5,948 | python | en | code | 3 | github-code | 36 |
7667794703 | #Usage: python3 kptable-appendix-11b.py [-h] [--help]
import datetime
import pathlib
import pandas as pd
import xlsxwriter
from lukeghg.crf.crfxmlconstants import ch4co2eq, n2oco2eq, ctoco2
from lukeghg.crf.crfxmlfunctions import ConvertFloat,ConvertSign, ConvertToCO2, SumTwoValues, SumBiomassLs
from lukeghg.crf.crfxml... | jariperttunen/lukeghg | lukeghg/lukeghg/nir/kptableappendix11b.py | kptableappendix11b.py | py | 24,795 | python | en | code | 0 | github-code | 36 |
42669964568 | import glob
import cv2
import numpy as np
from tqdm import tqdm
class Calibration(object):
def __init__(self, targetfilepath):
# termination criteria
self.criteria = (cv2.TERM_CRITERIA_EPS +
cv2.TERM_CRITERIA_MAX_ITER, 30, 1e-5)
# prepare object points, like (0,0... | Team-AllyHyeseongKim/vision-utils-calibrator-depth-map-deblur-odometry- | custom_lib/cail/calibrator.py | calibrator.py | py | 3,920 | python | ko | code | 0 | github-code | 36 |
7654866561 | # -*- coding: utf-8 -*-
"""
Created on Fri Feb 17 10:15:08 2023
@author: anjan
"""
import numpy as np
def swap_rows(A,p,q):
"""
Parameters
----------
A: A numpy.ndarry matrix of any dimensions
p,q : integers
The indices of two rows of the matrix.
Returns
---... | anjanmondal/CMI-Coursework | Linear Algebra/LU Decomposition/helper_functions.py | helper_functions.py | py | 3,991 | python | en | code | 0 | github-code | 36 |
69826161703 | """
General Numerical Solver for the 1D Time-Dependent Schrodinger Equation.
Authors:
- Jake Vanderplas <vanderplas@astro.washington.edu>
- Andre Xuereb (imaginary time propagation, normalized wavefunction
For a theoretical description of the algorithm, please see
http://jakevdp.github.com/blog/2012/09/05/quantum-pyt... | akapet00/schrodinger | src/scripts/quantum_tunneling.py | quantum_tunneling.py | py | 11,191 | python | en | code | 4 | github-code | 36 |
26628181853 | import pickle
from flask import Flask,request,app,jsonify,url_for,render_template
import nltk, re, string
from nltk.corpus import stopwords, twitter_samples
from sklearn.linear_model import LogisticRegression
import pickle
from sklearn.feature_extraction.text import CountVectorizer
from Utilities import process_tweet
f... | Sourav9827/Sentiment-Analysis | app.py | app.py | py | 1,224 | python | en | code | 1 | github-code | 36 |
25314716557 | import sys
input = lambda : sys.stdin.readline().strip()
N = int(input())
# # 480 -> 408 : 비트 연산으로 2의 배수 제거
# a = [i&1 for i in range(N+1)]
# a[1] = 0
# # 640 -> 480 : 원소 -> 원소 제곱근
# for i in range(3, int(N**0.5)+1, 2):
# if a[i]:
# # 408 -> 392 : i의 2 배수부터 탐색 -> i의 제곱부터 탐색
# for j in range(i*i,... | soohi0/Algorithm_study | 5월_4주/BOJ_소수의연속합/BOJ_소수의연속합_염성현.py | BOJ_소수의연속합_염성현.py | py | 1,551 | python | ko | code | 0 | github-code | 36 |
19739912139 | from __future__ import unicode_literals
import urllib
from vigilo.vigiconf.lib.confclasses.validators import arg, String, List
from vigilo.vigiconf.lib.confclasses.test import Test
from vigilo.common.gettext import l_
class NagiosPlugin(Test):
"""Test générique pour utiliser un plugin Nagios externe"""
@ar... | vigilo/vigiconf | src/vigilo/vigiconf/tests/all/NagiosPlugin.py | NagiosPlugin.py | py | 1,918 | python | fr | code | 3 | github-code | 36 |
1653425451 | import numpy
import matplotlib.pyplot as plt
import pylab
import dcf
import utility as util
import logistic_regression as lr
import svm
from tqdm import tqdm
from copy import deepcopy
from preprocessing import preprocess_Z_score
import matplotlib
# ======================================== FEATURES plots ============... | srrmtt/GenderVoiceDetection | plot.py | plot.py | py | 19,657 | python | en | code | 0 | github-code | 36 |
13252818491 | import math
class magicChecker:
def __init__(self, square, order):
self.square = square
self.n = order
self.mag_num = int(self.findMagicNumber())
self.square_multi = {}
def findMagicNumber(self):
summ = (self.n/2.) * (math.pow(self.n,2) + 1)
return ... | SiriusTux/MagicSquare | magicChecker.py | magicChecker.py | py | 2,131 | python | en | code | 0 | github-code | 36 |
919257196 | import requests
from bs4 import BeautifulSoup
import re
from domains import CONTENT_AREA
from emoji import emojize
from urllib.parse import urlparse
# ChatGPT d2ee59b7-b368-4a5f-b3af-2e33b7f33b4a
example_url = [
"https://backlinko.com/actionable-seo-tips",
"https://www.semrush.com/blog/seo-tips/",
"https:/... | syahidmid/seoanalysis | scrapers/scrape.py | scrape.py | py | 6,496 | python | en | code | 0 | github-code | 36 |
3985469839 | import os
from skimage import io
import copy
import numpy as np
import random
from glob import glob
import json
from sklearn.preprocessing import MultiLabelBinarizer
import torch
import torch.utils.data as data
from torchvision import transforms, datasets
from src.datasets.root_paths import DATA_ROOTS
CLASSES = ['Sea... | jbayrooti/divmaker | src/datasets/bigearthnet.py | bigearthnet.py | py | 5,152 | python | en | code | 3 | github-code | 36 |
23184346915 | from mcpi.minecraft import Minecraft as MC
root = MC.create()
my_id = root.getPlayerEntityId("Jooooook")
print("my_id: ", my_id)
my_pos = root.entity.getPos(my_id)
pos_x = {}
pos_z = {}
pos_y = {}
pos_x["Jooooook"] = my_pos.x
print(pos_x) | wewo329/workspace | python_workspace/python_study/with_minecraft/getPos.py | getPos.py | py | 242 | python | en | code | 0 | github-code | 36 |
5726494392 | from flask import Flask, jsonify, request
import json
import os
app = Flask(__name__)
# Load data from JSON file if it exists
def load_data():
if os.path.exists('investment_funds.json'):
with open('investment_funds.json') as file:
return json.load(file)
else:
with open('investment_... | raqif/fund_management_system | app_json.py | app_json.py | py | 3,352 | python | en | code | 0 | github-code | 36 |
12814165506 | def solution(clothes):
answer = 1
clothes_dict = {}
for c in clothes:
clothes_dict[c[1]] = clothes_dict.get(c[1],[])+[c[0]]
for key in clothes_dict.keys():
answer = answer * (len(clothes_dict[key]) + 1)
return answer - 1
print(solution([["yellowhat", "headgear"], ["bluesunglasses... | Girin7716/PythonCoding | Programmers/Problem_Solving/42578.py | 42578.py | py | 762 | python | en | code | 1 | github-code | 36 |
19534802491 | from functools import wraps
from flask import request, abort, g
from app.models import User
def login_required(f):
""" This decorator ensures that the current user is logged in before calling the actual view.
"""
@wraps(f)
def decorated(*args, **kwargs):
if request.method != 'OPTIONS':
... | Zokormazo/ngLlery-backend | app/decorators.py | decorators.py | py | 1,456 | python | en | code | 0 | github-code | 36 |
25056282946 | from django import forms
from django.core.exceptions import ValidationError
from manager.models import Accountancy
from manager.wallet_operations import wallet_choice, wallet_data_parse, change_wallet_balance
class AccountancyForm(forms.ModelForm):
class Meta:
model = Accountancy
fields = ()
... | AndriyKy/zlatnic | manager/forms.py | forms.py | py | 1,544 | python | en | code | 1 | github-code | 36 |
2986802119 | # https://towardsdatascience.com/a-detailed-guide-to-pytorchs-nn-transformer-module-c80afbc9ffb1
import math
from datetime import datetime
from os import path
import torch
import torch.nn as nn
from torch.utils.tensorboard import SummaryWriter
from tqdm import tqdm
from src.data_management.datasets.better_crnn_datas... | felix-20/gravitational_oceans | src/ai_nets/transformer.py | transformer.py | py | 14,567 | python | en | code | 1 | github-code | 36 |
32929404532 | #!/usr/bin/env python
# coding: utf-8
import csv
from config import ADDRESSES_FILE
from models import Birthday, get_this_week_list
def parse_data_file(in_file=ADDRESSES_FILE):
"""
:return: [] of {}
List of birthdays
"""
reader = csv.DictReader(open(in_file, "r"))
for row in reader:
... | raceup/happy-birthday-bot | hbb/bot.py | bot.py | py | 1,857 | python | en | code | 0 | github-code | 36 |
10045098498 | import requests
import json
import datetime,time
from kafka import KafkaProducer
# Liste des cryptos à récupérer
# Configuration du Kafka Producer
producer = KafkaProducer(bootstrap_servers=['broker:29092'], value_serializer=lambda x: json.dumps(x).encode('utf-8'))
crypto_list = ["bitcoin", "ethereum", "ripple"]
st... | stdynv/ARCHIDISTR | CryptoProducer.py | CryptoProducer.py | py | 983 | python | en | code | 0 | github-code | 36 |
25289566 | #1065번
#수열 판별 먼저
def seq_dcm(num):
discriminant = True
n = set()
for i in range(1, len(num)):
temp = int(num[i]) - int(num[i-1])
n.add(temp)
if len(n) > 1:
discriminant = False
return discriminant
X = int(input())
count = 0
for i in range(1, X+1):
if seq_dcm(str(i)):
... | kmgyu/baekJoonPractice | function/한수.py | 한수.py | py | 362 | python | en | code | 0 | github-code | 36 |
74221037222 | import threading
import time
import actions
from database import *
logInstance = log.logger('pinger')
plogger = logging.getLogger('pinger')
log.logger.init(logInstance, plogger)
plogger.info('Pinger started')
class Pinger(threading.Thread):
"""
Pings all connected clients for activity.
Drops them when they a... | janlaan/distsys2010 | src/pinger.py | pinger.py | py | 1,630 | python | en | code | 5 | github-code | 36 |
5216435364 | from pydantic import BaseModel, EmailStr
from datetime import datetime
from typing import Optional
class User(BaseModel):
user_id : int
username : str
forenames: str
surname : str
email : EmailStr
bio : Optional[str]
display_name : Optional[str]
created_at: datetime
class UserRegistra... | willpennell/r-shows | user-management-service/app/schemas/user_schemas.py | user_schemas.py | py | 802 | python | en | code | 0 | github-code | 36 |
25676926 | import math
class PriorityQueue:
def __init__(self):
self.items = []
def isEmpty(self):
return len(self.items) == 0
def size(self): return len(self.items)
def clear(self): self.items = []
def enqueue(self, item):
self.items.append(item)
def findMaxIndex(self):
... | kmgyu/baekJoonPractice | 데이터구조및실습수업/0517 PriorityQueue.py | 0517 PriorityQueue.py | py | 1,844 | python | en | code | 0 | github-code | 36 |
6751769066 | # -*- coding: utf-8 -*-
from PyQt5.QtWidgets import QWidget
from PyQt5.QtGui import QDoubleValidator
from PyQt5.QtCore import pyqtSignal, pyqtSlot
from selfdefineformat.views.editcheckbox import Ui_Form
class EditCheckBoxModule(QWidget, Ui_Form):
edited = pyqtSignal()
def __init__(self, element, parent=None... | zxcvbnmz0x/gmpsystem | selfdefineformat/modules/editcheckboxmodule.py | editcheckboxmodule.py | py | 3,645 | python | en | code | 0 | github-code | 36 |
16032494956 | with open(r'C:\Users\oush\Downloads\dataset_3380_5(1).txt') as file:
lst_str = file.readlines()
d = {str(i): [] for i in range(1, 12)}
# print(lst_str)
for item in lst_str:
item = item.split()
print(item)
d[item[0]].append(int(item[2]))
print(d)
with open(r'C:\Users\oush\Downloads\reply_3380_5.txt', 'w'... | oushMusa/project_one | game_table.py | game_table.py | py | 553 | python | en | code | 0 | github-code | 36 |
7982812597 | # nums = [3,2,3]
# nums = [1,1,1,3,3,2,2,2]
cnt = {}
res = []
for i in nums:
if i in cnt:
cnt[i] += 1
else:
cnt[i] = 1
if cnt[i] > len(nums)//3 and not i in res:
res.append(i)
print(res) | kyj0701/2020_Summer_Pyton | 2020.07/07.20~07.24/07.23/229.py | 229.py | py | 242 | python | en | code | 0 | github-code | 36 |
34000667448 | import json, random, csv, sys
def check_input():
out_file = ''
if (len(sys.argv) == 3) & (sys.argv[1] == '-i'):
coded_file = sys.argv[2]
out_file = None
elif (len(sys.argv) == 5) & (sys.argv[1] == '-i') & (sys.argv[3] == '-o'):
coded_file = sys.argv[2]
out_fil... | namdar-nejad/COMP-598 | A7/Code/src/analyze.py | analyze.py | py | 1,690 | python | en | code | 0 | github-code | 36 |
37435918590 | #!/usr/bin/env python
# coding: utf-8
# In[5]:
import numpy as np
# In[1]:
import plotly
import matplotlib.pyplot as plt
# In[3]:
#Equations of motion:
#y = vt + .5a(t**2)
#x = vt
#y = x + 0.5a(x**2)/(v**2)
# In[6]:
#Let intial velocity v = 10 m/s, acceleration a = -9.8 m/s^2, and initial height h = 100 ... | abbychriss/toy-projects | Projectile motion.py | Projectile motion.py | py | 679 | python | en | code | 0 | github-code | 36 |
38265076029 | from collections import OrderedDict
import fnmatch
import re
IMAGENET_DEFAULT_MEAN = (0.485, 0.456, 0.406)
IMAGENET_DEFAULT_STD = (0.229, 0.224, 0.225)
DEFAULT_CONFIGS = OrderedDict({
'ckdn': {
'metric_opts': {
'type': 'CKDN',
},
'metric_mode': 'FR',
},
'lpips': {
... | Sskun04085/IQA_PyTorch | pyiqa/default_model_configs.py | default_model_configs.py | py | 6,004 | python | hi | code | 0 | github-code | 36 |
72311226344 | import os
import subprocess
from src.manager.manager.launcher.launcher_interface import ILauncher, LauncherException
from src.manager.manager.docker_thread.docker_thread import DockerThread
from src.manager.libs.process_utils import wait_for_xserver
from typing import List, Any
import time
class LauncherDronesRos2(ILa... | JdeRobot/RoboticsApplicationManager | manager/manager/launcher/launcher_drones_ros2.py | launcher_drones_ros2.py | py | 2,530 | python | en | code | 2 | github-code | 36 |
1147807834 | """empty message
Revision ID: b7c0cfa43719
Revises: 25279a0b5c75
Create Date: 2016-11-02 00:02:18.768539
"""
# revision identifiers, used by Alembic.
revision = 'b7c0cfa43719'
down_revision = '25279a0b5c75'
from alembic import op
import sqlalchemy as sa
def upgrade():
### commands auto generated by Alembic - ... | CodeForProgress/sms-app | src/migrations/versions/b7c0cfa43719_.py | b7c0cfa43719_.py | py | 760 | python | en | code | 1 | github-code | 36 |
1322353770 | from resizer import *
import argparse
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument(
"--src",
type=str,
required=True,
help="The directory of the folder with the image to be resized.",
)
parser.add_argument(
"--width", type=int... | hjk1996/Image-Resizer | main.py | main.py | py | 1,243 | python | en | code | 0 | github-code | 36 |
14159948367 |
"""dividing a given corpus 'test' or 'dev' set into arbitrary sentence lengths"""
### input: .iob file ###
### output: .iob files ###
with open("../test.iob", "r", encoding="utf-8") as f:
test_split = f.readlines()
very_low = list()
very_very_low = list()
low = list()
med = list()
high = list()
current = ""
co... | huspacy/huspacy-resources | scripts/ner_data_analysis/split_set_into_sentence_length.py | split_set_into_sentence_length.py | py | 3,021 | python | en | code | 0 | github-code | 36 |
30731206475 | #######################################################################
# Necessaria a instalacao do biopython (pip install biopython)
from Bio import pairwise2
from Bio.pairwise2 import format_alignment
from Bio.Seq import Seq
def alinhamento(seqt, numseq):
nome1 = "guilherme"
nome2 = "costa"
nome3 = "ol... | GuilhermeC0sta/Alinhamento-Multiplo-de-DNA | CodWithGUI/alinhamento_func.py | alinhamento_func.py | py | 3,205 | python | en | code | 0 | github-code | 36 |
16968956587 | # -*- coding: utf-8 -*-
from django.template.loader import render_to_string
from django.contrib.admin.utils import quote
def get_mptt_admin_node_template(instance):
'''
Get MPTT admin node template name by model instance
:param instance: instance of mptt model
:return: template name
'''
return... | infolabs/django-edw | backend/edw/admin/mptt/utils.py | utils.py | py | 1,309 | python | en | code | 6 | github-code | 36 |
2956310970 | import socket
import struct
import subprocess
import logging
from datetime import datetime
# Configuração do cliente
MULTICAST_IP = '224.0.0.1'
MULTICAST_PORT = 5004
CHUNK_SIZE = 1472 # Tamanho do pacote incluindo 4 bytes para o contador
CLIENT_INTERFACE_IP = '0.0.0.0' # Use o IP de interface apropriado se necessári... | gpdolzan/R2LAST | cliente.py | cliente.py | py | 4,325 | python | pt | code | 0 | github-code | 36 |
33997460968 | from fbchat import *
from fbchat.models import *
from Credentials import *
import json
import requests
import re
import os
import time
from threading import Thread
import socket
def finalVerification(url):
if re.search("homework-help", url):
return True
return False
def question_id(url):
try:
... | namdao2000/MessengerBot | MessengerBot.py | MessengerBot.py | py | 5,534 | python | en | code | 0 | github-code | 36 |
30630423030 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 16 19:35:10 2020
@author: isaacparker
"""
#Load libraries
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
import pandas as pd
from scipy.stats import lognorm, gaussian_kde
# Specify font used in plots
font = 'Adobe Myungjo... | PV-Lab/Data-Driven-PV | Figure_1.py | Figure_1.py | py | 2,792 | python | en | code | 4 | github-code | 36 |
36663492998 | import news_parser as Util
import datetime
import time
import DBHandler
from tensorflow.keras.models import load_model
import predict
CompanyList=[]
Headless = True # False : 창띄움, True : 창없음
MakeCompanyList = False # 회사 리스트 갱신
host = '데이터베이스 주소'
ID= '계정명'
PW='비밀번호'
DB_name='DB이름'
def GetNewsInfo(driver):
headline... | woqls22/StockNews | BackEnd/PythonScripts/main.py | main.py | py | 4,929 | python | en | code | 3 | github-code | 36 |
22530303098 | import numpy as np
import pytest
from gym.spaces import Box, Discrete
from gym.wrappers import AtariPreprocessing, StepAPICompatibility
from tests.testing_env import GenericTestEnv, old_step_fn
class AleTesting:
"""A testing implementation for the ALE object in atari games."""
grayscale_obs_space = Box(low=... | openai/gym | tests/wrappers/test_atari_preprocessing.py | test_atari_preprocessing.py | py | 4,102 | python | en | code | 33,110 | github-code | 36 |
505642870 | def osm_vs_imd(osmxlsx, osmxml, imd, outfishnet, outshp):
#Create a fishnet use raster file
while imd:
osm_ref_tags = {
"TABLE" : osmxlsx,
"SHEET" : 'osm_features',
"LULC_COL" : 'L4',
"KEY_COL" : "key",
"... | jasp382/glass | exp/devcode/osm_vs_imd_tst.py | osm_vs_imd_tst.py | py | 3,052 | python | en | code | 2 | github-code | 36 |
29394077350 | import cv2
import numpy as np
import glob
from pyqtgraph.Qt import QtCore, QtGui
import pyqtgraph.opengl as gl
import numpy as np
from time import sleep
dis_test_label = np.load("D:/PythonFile/NestProject/Nest_Model/pos_process/test_data/dis_test_data_complex_exp_shuffle_3.npy")
dis_test_predict = np.load('D:... | yangyongjx/LoRaNet | pos_process/reprojection_img.py | reprojection_img.py | py | 2,149 | python | en | code | 0 | github-code | 36 |
3273808823 | # This is a sample Python script.
#########################################: Please Don't Change :#######################################
import logging
import os
import sys
from datetime import datetime
sys.path.append(
"/home/sonu/workspace/pro/component/"
)
sys.path.append(
"/home/sonu/workspace/pro/utils/... | rajeshraj124/advanced_logger_with_single_place_credentials | pro_sample/main.py | main.py | py | 1,997 | python | en | code | 0 | github-code | 36 |
35388901124 | #!/usr/bin/env python3
from sys import stderr, stdout
from os import environ
from random import randrange, randint
from tc import TC
from triangolo_lib import Triangolo
############## TESTCASES' PARAMETERS ############################
TL = 1 # the time limit for each testcase
MAPPER = {"tiny": 1, "small": 2, "med... | romeorizzi/TALight | tal_algo/private/triangolo_unrank_opt_sol/manager.py | manager.py | py | 1,478 | python | en | code | 11 | github-code | 36 |
22869043882 | import pygame, sys #기본세팅
import random, time #내가 추가한 것
from pygame.locals import *
#Set up pygame.
pygame.init()
#상수 정의
SCREEN =8
BLACK = (0,0,0)
GREEN = (0, 128, 0)
WHITE = (255, 255, 255)
BLUE = (0,0,255)
RED = (255,0,0)
YELLOW = (255,204,51)
screen = pygame.display.set_mode((600,400), 0,32)
pyg... | Choiseungpyo/Othello_Python | Othello.py | Othello.py | py | 22,209 | python | en | code | 0 | github-code | 36 |
69912444584 | """Tools for preprocessing Gradebooks before grading."""
from __future__ import annotations
import typing
import pandas as pd
from .core import AssignmentGrouper
from ._common import resolve_assignment_grouper
# private helper functions =============================================================
def _empty_mas... | eldridgejm/gradelib | gradelib/preprocessing.py | preprocessing.py | py | 8,266 | python | en | code | 6 | github-code | 36 |
29101674414 | # Debugging script to see how much GPS signal bounced around
import csv
import math
import numpy as np
from matplotlib import pyplot as plt
'''
# distance between points
dx_between_pts = []
prev_lat, prev_long = 0, 0
with open('2_2_23_gps.csv', mode ='r') as f:
csv_f = csv.reader(f)
for i, line in enumerate(csv_f... | bainro/jackal_melodic | plotGPS.py | plotGPS.py | py | 2,117 | python | en | code | 0 | github-code | 36 |
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