text stringlengths 8 6.05M |
|---|
# Attempt to build a program that models and tracks population genetics
# Time Tracker & Websites
## 3/31 - 1 hour
## 4/2 - 3 hours
## https://stackoverflow.com/questions/11487049/python-list-of-lists
## https://stackoverflow.com/questions/18265935/python-create-list-
## with-numbers-between-2-values/36002096
... |
from flask import Flask, request, jsonify
import db_handler as dh
app = Flask(__name__)
@app.route("/")
def hello():
return "Gym backend"
@app.route("/drop_all")
def drop_all():
dh.drop_all()
return "dropped all"
@app.route("/<category>/add", methods=['POST'])
def add_entity(category):
print... |
import pandas as pd
import numpy as np
import sys
from scipy.spatial.distance import jensenshannon
from scipy.cluster.hierarchy import dendrogram
from matplotlib import pyplot as plt
def average_period(period, ts):
return ts.loc[:, period[0]:period[-1]].mean(axis=1)
def distance_at_place_average(periods, place, t... |
class JustCreator:
def checkType(ttype):
pass
def create(con, dni, start, days):
pass
|
__author__ = 'apple'
import os
from osgeo import ogr
shapefile = r"ShapefileTest/GIS_CensusTract_poly.shp" # Path Your Shapefile
driver = ogr.GetDriverByName("ESRI Shapefile")
dataSource = driver.Open(shapefile, 0)
layer = dataSource.GetLayer()
for feature in layer:
print feature.GetField("SOURCE_3") # Get fiel... |
sexo = ''
aux = 0
while(aux == 0):
sexo = str(input('Digite o sexo [m/f]: ')).lower()
if sexo == 'm' or sexo == 'f':
aux = 1
else:
print('Digitação incorreta, tente novamente.')
print('Voce escolher {}.'.format(sexo)) |
# coding: utf-8
# # VQE Screening
# In[1]:
scaffold_codeXX = """
const double alpha0 = 3.14159265359;
module initialRotations(qbit reg[2]) {
Rx(reg[0], alpha0);
CNOT(reg[0], reg[1]);
H(reg[0]);
}
module entangler(qbit reg[2]) {
H(reg[0]);
CNOT(reg[0], reg[1]);
H(reg[1]);
CNOT(reg[1], reg[0]);
}
... |
# demo02_dataFrame.py DataFrame示例
import numpy as np
import pandas as pd
df = pd.DataFrame()
print(df)
# 通过列表创建DataFrame
ary = np.array([1,2,3,4,5])
df = pd.DataFrame(ary)
print(df, df.shape)
data = [ ['Alex',10],['Bob',12],('Clarke',13) ]
df = pd.DataFrame(data, index=['s1', 's2', 's3'],
columns... |
import numpy as np
import torch
from torch import nn
from torch.nn import functional as F
from torch.autograd import Variable
class SELayer(nn.Module):
def __init__(self, channel, reduction=16):
super(SELayer, self).__init__()
self.fc = nn.Sequential(
nn.Linear(channel, channel // redu... |
import csv
import json
# Constants to make everything easier
CSV_PATH = './GEMIDDELDE_NEERSLAG_2016.csv'
f = open(CSV_PATH, 'rt')
# Reads the file the same way that you did
csv_file = csv.reader(f)
# Created a list and adds the rows to the list
jsonlist = []
for row in csv_file:
row = row[0].split(";")
# Save ... |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
import torch
from config import get_args
from train_eval import train, evaluate
from Utils.utils import get_device, set_seed
from Utils.data_utils import load_data, random_dataloader, sequential_dataloader
from transformers import (
WEIGHTS_NAME, AdamW,
... |
import pandas as pd
import matplotlib.pyplot as plt
df=pd.read_csv('E:\csvdhf5xlsxurlallfiles\percent-bachelors-degrees-women-usa.csv')
print(df.head())
print(df.columns)
year=df[['Year']]
architecture=df[['Computer Science']]
print(architecture)
engineering=[['Physical Sciences']]
print(engineering)
plt.pl... |
from bs4 import BeautifulSoup
import requests
url = "http://www.saramin.co.kr/zf_user/jobs/list/job-category?cat_cd=404&panel_type=&search_optional_item=n&search_done=y&panel_count=y"
response = requests.get(url)
html = BeautifulSoup(response.text, 'html.parser')
'''
company_names = html.select('.company_name')
recr... |
import os
from django.conf import settings
from django.http import HttpResponse
def get_election_fixture(request):
with open(
os.path.join(settings.BASE_DIR, "data/elections.json")
).read() as out:
return HttpResponse(out, status=200, content_type="application/json")
|
"""
learned from others
2nd approach: hashtable + array
- save value: index in hashtable
- when delete, swap the target item and the last item in the array, and remove the last item
- see ./idea_add.png and ./idea_remove.png
Insert Time O(1)
Remove Time O(1)
GetRandom Time O(1)
Space O(n) the ... |
# _*_ coding:utf-8 _*_
# choi，judge，player，alien，shoot等都写在这里
# 由于原代码上面几个应用比较乱，改写时要小心且尽量简化
#
import random
import End
room = [[1, 1], [1, 2], [1, 3], [1, 4], [1, 5],
[2, 1], [2, 2], [2, 3], [2, 4], [2, 5],
[3, 1], [3, 2], [3, 4], [3, 5],
[4, 1], [4, 2], [4,... |
from typing import Dict, Any
class NameItem(object):
def __init__(self, data: Dict[str, Any]):
self.__data: Dict[str, Any] = data
@property
def name(self):
return self.__data['name']
@property
def id(self):
return self.__data['id']
@property
def category(self):
... |
from .APIError import APIError
class NoSearchResultsError(APIError):
'''Exception thrown when a company cannot be found in the database'''
def __init__(self, search):
self.search = search
self.json_error = self.api_error(self.__repr__())
def __repr__(self):
return "No results fo... |
from logger import Logger
logger_object = Logger("log.txt")
logger_object.info("this is FYI")
log = Logger("mylog.txt")
log.critical("this is a major f up")
'''
from singleton import SingletonObject
obj1 = SingletonObject()
obj1.val = "Hello"
print(f"obj1 {obj1}")
print("-----")
obj2 = SingletonObject()
obj2.... |
from cassandra.cluster import Cluster
cluster = Cluster()
session = cluster.connect('benchmark')
session.execute("""
CREATE TABLE IF NOT EXISTS testing (uid uuid PRIMARY KEY, name text);
""")
session.execute("""
INSERT INTO testing(uid, name) VALUES(uuid(), 'jon... |
test_url = 'https://mercari.com/'
|
# lesson 1: image classification
# export LANG=en_US.utf8
# https://github.com/fastai/course:v3/blob/master/nbs/dl1/lesson1:pets.ipynb
import matplotlib
import matplotlib.pyplot as plt
plt.ion()
from fastai import *
from fastai.vision import *
from fastai.metrics import error_rate
path=untar_data(URLs.PETS)
print("usin... |
import z
import math
import readchar
import csv
import buy
import os
from sortedcontainers import SortedSet
import glob
import yfinance as yf
from pandas_datareader import data as pdr
year = "2020"
yf.pdr_override()
def getDataFromYahoo(astock, cdate):
df = None
try:
print("dl astock: {}".format( asto... |
import numpy as np
from hilbertcurve.hilbertcurve import HilbertCurve
import cloudmetrics
def test_hilbert_curve():
"""
Test on Hilbert curve (should have fracDim=2)
"""
mask = np.zeros((512, 512))
p_hil = 8
n_hil = 2
dist = 2 ** (p_hil * n_hil)
hilbert_curve = HilbertCurve(p_hil, n_h... |
# -*- coding: utf-8 -*-
from django.contrib.auth import login
from django.shortcuts import redirect, get_object_or_404
from django.contrib.auth.decorators import login_required
from django.contrib.auth.decorators import user_passes_test
from django.forms.formsets import formset_factory
from django.forms.models import ... |
from sqlalchemy import TEXT, Column, Integer, String
from .database import ENGINE, Base
class ArticleOrm(Base):
__tablename__ = "ArticleOrm"
id = Column("id", Integer, primary_key=True, autoincrement=True, nullable=False)
reply_to = Column("reply_to", Integer, nullable=False)
assumption_id = Column("... |
from spack import *
import sys,os
sys.path.append(os.path.join(os.path.dirname(__file__), '../../common'))
from scrampackage import write_scram_toolfile
class CascadeToolfile(Package):
url = 'file://' + os.path.dirname(__file__) + '/../../common/junk.xml'
version('1.0', '68841b7dcbd130afd7d236afe8fd5b949f017... |
#print the index value of every element in the list
fr=['bhvaya','komal','khushi','akshuni','divya']
for i in fr:
print('Index value of element({}) is:={}'.format(i,fr.index(i)))
|
# Generated by Django 2.1.5 on 2019-08-05 05:01
from django.db import migrations
class Migration(migrations.Migration):
atomic = False
dependencies = [
('blog', '0065_auto_20190805_0558'),
]
operations = [
migrations.RemoveField(
model_name='webgroup',
name='a... |
#!/usr/bin/python3
import tkinter
import random
from tkinter import messagebox
import math
import sys
class CalculateNError(Exception):
def __init__(self, msg):
self.msg = msg
gachaProb = [[0, 400000], # R essence
[400000, 520000], # SR essence
[520000, 560000], # SSR... |
import argparse
import sys
import numpy as np
import matplotlib.pyplot as plt
import math
from orderlib import *
from numpy.random import randint
from numpy.random import rand
from numpy.random import choice
from random import randrange
from time import perf_counter
from math import sqrt
from statistics import mean, st... |
#!/usr/bin/env python
# coding: utf-8
# Copyright (c) Qotto, 2019
from typing import Type
# Import BaseEventHandler
from tonga.models.handlers.event.event_handler import BaseEventHandler
# Import StoreBuilderBase
from tonga.stores.manager.kafka_store_manager import KafkaStoreManager
# Import BaseProducer
from tonga.s... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
def merge_states(states):
test_set = set()
for state in states:
test_set.add(frozenset(state.items()))
return [{k: v for k, v in state} for state in test_set]
|
import datetime
date = datetime.datetime.now()
print(date) # 2021-09-24 11:22:46.729396
print(date.date()) # 2021-09-24
print(date.time()) # 11:22:46.729396
print(
date.year, date.month, date.day,
date.hour, date.minute, date.second, date.microsecond,
date.weekday(),
)
# 2021 9 24 11 22 46 729396 4
customDat... |
# -*- coding: utf-8 -*-
import pyloco
import copy
import cartopy
import cartopy.util
default_projection = "PlateCarree"
class EarthPlotTask(pyloco.taskclass("ncplot")):
"""Create a plot for earth science
Examples
---------
"""
_name_ = "earthplot"
_version_ = "0.1.6"
_install_requires_ = ["nctools",... |
# Copyright 2023 Pulser Development Team
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... |
# djikstra.py
import heapq
def relax(graph, costs, node, child):
if costs[child] > costs[node] + graph[node][child]:
costs[child] = costs[node] + graph[node][child]
def dijkstra(graph, source):
costs = {}
for node in graph:
costs[node] = float('Inf')
costs[source] = 0
visi... |
import numpy as np
from numpy.fft import fft, ifft, fftfreq, rfftfreq
from astropy.io import ascii,fits
from scipy.interpolate import InterpolatedUnivariateSpline, interp1d
from scipy.integrate import trapz
from scipy.special import j1
import multiprocessing as mp
import sys
import gc
import os
import bz2
import h5py
... |
import json
from datetime import datetime
from cryptography.fernet import Fernet
from flask import current_app, jsonify, request
from flask.views import MethodView
from flask_jwt_extended import (create_access_token, create_refresh_token,
decode_token, get_jwt_identity,
... |
'''class A:
def hi(self):
print ("Say Hi")
class B(A):
def hi(self):
print ("Say hello")
b=B()
b.hi()
'''
# overriding without inheritance based on object execution happens
class A:
def hi(self):
print ("Say Hi")
class B:
def hi(self):
print ("Say hello")
def common(tes... |
from __future__ import division
from django.shortcuts import render
# Create your views here.
from django.shortcuts import render, get_object_or_404
from .models import Target
from .models import TargetForm
from .models import ProbesForm
from .models import *
from .atlas_request_creation import atlas_api_call
from .a... |
import dash_bootstrap_components as dbc
from dash import html
from .util import make_subheading
table_header = html.Thead(
html.Tr(
[
html.Th("#"),
html.Th("First name"),
html.Th("Last name"),
]
)
)
table_body = html.Tbody(
[
html.Tr(
... |
# -*- coding: utf-8 -*-
"""
Created on Thu Dec 24 15:37:25 2015
@author: HSH
"""
class Solution(object):
def createLine(self, words, L, start, end, totLen, isLast):
result = []
result.append(words[start])
n = end - start + 1
if n == 1 or isLast:
for i in range(start+1, ... |
w, h = 1050, 600
colors = [(188, 216, 193), (214, 219, 178), (227, 217, 133), (229, 122, 68)]
colors = [(219, 177, 188), (211, 196, 227), (143, 149, 211), (137, 218, 255)]
colors = [(191, 107, 99), (217, 163, 132), (91, 158, 166), (169, 212, 217)]
grid_x = 22
grid_y = 22
grid_x_pixels = 1200
grid_y_pixels = 1200
se... |
# -*- coding: utf-8 -*-
"""mods.py: Module loader for the IRC bot.
Loader for commands and listeners.
TODO:
* Refactor<3
"""
import os
import sys
import time
import string
import random
import imp
# Symbian S60 specific compatibility
s60 = False
if sys.platform == "symbian_s60":
s60 = True
sys.path.append("... |
# Copyright 2022 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import annotations
import dataclasses
import itertools
from dataclasses import dataclass
from typing import Any, Iterator, cast
from pants.build_graph.address import BANN... |
import pygame, sys, time, random
from pygame.locals import *
import numpy as np
import math
import joblib # import Parallel, delayed
import multiprocessing
class Particle:
"""
@summary: Data class to store particle details i.e. Position, Direction and speed of movement, radius, etc
"""
def __init... |
# -*- coding: utf-8 -*-
"""
Created on Wed Jun 10 14:47:14 2020
@author: logun
"""
from scipy import ndimage
import matplotlib.pyplot as plt
import numpy as np
import kernel_function as kf
import cv2
img = cv2.imread('ring.png', cv2.IMREAD_GRAYSCALE)
plt.figure(dpi=700)
dims = img.shape
#find start point:
def sta... |
from math import log
from drivingenvs.vehicles.ackermann import AckermannSteeredVehicle
from drivingenvs.envs.driving_env_with_vehicles import DrivingEnvWithVehicles
from yarp.envs.torchgymenv import TorchGymEnv
from yarp.envs.unsupervised_env import UnsupervisedEnv
from yarp.policies.tanhgaussianpolicy import TanhGa... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Aug 31 15:13:57 2017
@author: mulugetasemework
"""
# encoding: UTF-8
# Copyright 2016 Google.com
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a co... |
# coding: utf-8
"""
Copyright 2016 SmartBear Software
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applica... |
#
# @lc app=leetcode.cn id=188 lang=python3
#
# [188] 买卖股票的最佳时机 IV
#
# @lc code=start
class Solution:
def maxProfit(self, k: int, prices: List[int]) -> int:
"""DP table: 最多进行k次交易"""
if not prices:
return 0
n = len(prices)
dp = [[[0, -float("inf")]] * (k+1)] * n
f... |
import pandas as pd
from avg_fun import kde_wavg
def agg_itineraries(points_merged, CONFIG):
# TODO is this still needed the escape below
if points_merged.empty:
return None
grouped = points_merged.groupby(['mot_segment_id', 'itinerary_id'])
diagnostics = grouped.agg({
'distance': ... |
# Chaining
class HashTable:
def __init__(self, hash_func=None, bucket_size=16):
if hash_func is None:
self.hash_func = hash
else:
self.hash_func = hash_func
self.bucket_size = bucket_size
self.bucket = [None] * bucket_size
def set(self, key, valu... |
while True:
valor = int(input('Qual valor você quer saber a tabuada? '))
if valor >= 0:
print(10*'=-=')
for i in range(1,11):
print(f'{valor} x {i} = {valor * i}')
print(10*'=-=')
else:
break
print('Obrigado por acessar') |
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers
import load_text
embedding_dim = 300
inputs = keras.Input(shape=(54,), name="input_text")
embedding_layer = layers.Embedding(load_text.vocab_size, embedding_dim, name="embedding")(inputs)
conv_3_layer = layers.Conv1D(100, 3, acti... |
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from sqlalchemy import Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
class People(Base):
__tablename__ = 'people'
id = Column(Integer, primary_key=True)
person_identif... |
# -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'Category'
db.create_table('product_category', (
('id', self.gf('django.db.models... |
# deployment
#DIRECTORY_ADDRESS = 'tcp://127.0.0.1:10001'
import sys
import os
import fabric.api as fabi
# sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '../..')))
# import config_main as cfg
# import config_private as private
CONTRACT_GAS = "0x1000000000"
# TRANSACTION_GAS = "0x1000000"... |
from gym_tic_tac_toe.envs.tic_tac_toe_env import TicTacToeEnv
# from gym_tic_tac_toe.envs.gym_tic_tac_toe_extrahard_env import TicTacToeExtraHardEnv |
from Server import flask
if __name__ == '__main__': # Main method
flask.run(port=8088, debug=False, threaded=True, host="127.0.0.1") # Starts server
|
from pyspark.sql.functions import udf
from pyspark.sql.types import ArrayType, StringType
import json
def regist_udf_str2arr(ss,logger):
logger.info("注册str2arr UDF", event="regist_udf")
def string2array(str):
if len(str) :
return ','.join(json.loads(str))
# arr = str.replace('\... |
import config_readers
import os
from unittest.mock import Mock
from mock import patch
class TestReader:
def test_local_reading_config(self):
reader = config_readers.LocalUserConfigReader('./tests/fixtures/test_user_configs/')
res = reader.get_config_files()
assert len(res) == 2
def te... |
# _compat.py - Python 2/3 compatibility
import sys
PY2 = sys.version_info[0] == 2
if PY2: # pragma: no cover
text_type = unicode
def iteritems(d):
return d.iteritems()
else: # pragma: no cover
text_type = str
def iteritems(d):
return iter(d.items())
|
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import matplotlib.pyplot as plt
import cv2
from sklearn.cluster import DBSCAN
from extra_functions import cluster_gen
import pcl
import numpy as np
import matplotlib.cm as cm
def DBScan():
# Load Point Cloud file
cloud = pcl.load_XYZRGB('./test_rgb.pcd')
#... |
#Created on 1/22/2015
#@author: Ryan Spies (rspies@lynkertech.com)
# Python 2.7
# This script reads CHPS csv file from QIN plot display and finds the start and end
# of the observed hourly QIN record, # of valid data points, and % of total available.
# Outputs summary data to csv file
import os
import pandas ... |
# -*- coding: utf-8 -*-
"""
Created on Thu Apr 18 12:43:31 2019
@author: hi
"""
from tkinter import *
import csv
import pandas as pd
import numpy as np
import sklearn as sk
import keras
from keras.models import Sequential
from keras.layers import Dense
from sklearn.model_selection import train_test_spl... |
from .dry_plugin_quart import (
test_quart_doc,
test_quart_no_response,
test_quart_return_model,
test_quart_skip_validation,
test_quart_validate,
test_quart_validation_error_response_status_code,
)
__all__ = [
"test_quart_return_model",
"test_quart_skip_validation",
"test_quart_vali... |
table = ['a', 'b', 'c', 'd', 'e']
space = ' '
print(space.join(table))
|
import numpy as np
import json
import pickle
from ELMo.ELMoForManyLangs.elmoformanylangs import embedder
from ELMo.sent2elmo import sent2elmo
class Embedder:
"""
The class responsible for loading a pre-trained ELMo model and provide the ``embed``
functionality for downstream BCN model.
You can modify... |
from rest_framework import serializers
from .models import Stock
class StockSerializer(serializers.ModelSerializer):
is_tracking = serializers.SerializerMethodField(read_only=True)
class Meta:
model = Stock
fields = ['ticker', 'company_name', 'is_tracking']
def get_is_tracking(self, obj... |
# -*- coding: utf-8 -*-
# Generated by Django 1.9.8 on 2016-08-03 13:12
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('products', '0003_auto_20160803_1249'),
]
operations = [
migrations.AlterFiel... |
#!/bin/python3
import math
import os
import random
import re
import sys
# Complete the plusMinus function below.
def plusMinus(arr):
myArr = {0:0, 1:0, -1:0}
for i in arr:
if i == 0:
myArr[0]+=1
elif i <0:
myArr[-1]+=1
else:
myArr[1]+=1
positiv... |
from pynput import keyboard
import os
from random import choice
from colorama import init, Fore, Back, Style
# colorama init
init(autoreset=True)
NEW_ELEMENTS_CHOICE = [1, 1, 2]
COLORS = {
'.': Fore.WHITE,
0: Fore.WHITE,
1: Fore.WHITE,
2: Fore.BLUE,
4: Fore.CYAN,
8: Fore.GREEN,
16: Fore.... |
from .torchvggish import *
from .vggish_input import *
from .vggish_params import *
name = "torchvggish"
|
from PikaObj import *
class Operator(TinyObj):
def plusInt(self, num1: int, num2: int) -> int: ...
def plusFloat(self, num1: float, num2: float) -> float: ...
def minusInt(self, num1: int, num2: int) -> int: ...
def minusFloat(self, num1: float, num2: float) -> float: ...
def equalInt(self, num1: ... |
import glob, os, sys
import numpy as np
from random import*
import matplotlib.pyplot as plt
import matplotlib.cm as cmx
import matplotlib.colors as colors
def get_rand_color(val):
h,s,v = random()*6, 0.5, 243.2
colors = []
for i in range(val):
h += 3.75#3.708
tmp = ((v, v-v*s*abs(1-h%2), v-... |
import traceback
import numpy as np
import cv2,random,os,sys
from time import sleep as tmSleep
import logging
import time
from moviepy.audio.io.AudioFileClip import AudioFileClip
import xlrd
from openpyxl import load_workbook
from datetime import datetime
from moviepy.video.io.VideoFileClip import VideoF... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
__author__ = 'avasilyev2'
import db_work
import pymongo
from pymongo import MongoClient
client = MongoClient('mongodb://admin:pass@ds062807.mongolab.com:62807/games')
db = client['games']
collection = db['general_collection']
collection.remove({"shop":... |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
# According to: http://liangjiabin.com/blog/2015/04/leetcode-best-time-to-buy-and-sell-stock.html
class Solution(object):
def maxProfit(self, prices):
if not prices:
return 0
max_profit = 0
for i in range(1, len(prices)):
... |
script_game_start = 0
script_game_get_use_string = 1
script_game_quick_start = 2
script_get_army_size_from_slider_value = 3
script_spawn_quick_battle_army = 4
script_player_arrived = 5
script_game_set_multiplayer_mission_end = 6
script_game_enable_cheat_menu = 7
script_game_get_console_command = 8
script_game_event_par... |
import dicom
import os
import numpy as np
from matplotlib import pyplot as plt
from matplotlib import cm
import csv
# indicate path to image data
PathDicom = "C:\\Users\\David\\Documents\\CT\\CT_data\Images"
lstFilesDICOM = []
# read all images in path
for dirName, subdirList, fileList in os.walk(PathDicom):
for fil... |
s=input()
l=len(s)
c=0
w=''
lw=0
for i in range(l):
if(s[i]==''):
c=c+1
else:
w=w+s[i]
if(w[0]=='a' or w[0]=='e' or w[0]=='i' or w[0]=='o' or w[0]=='u'):
print(w)
|
from django.db import models
from django.conf import settings
# Create your models here.
class Message(models.Model) :
message = models.TextField()
sender = models.ForeignKey(settings.AUTH_USER_MODEL,related_name="messages",on_delete=models.CASCADE,null=True)
timestamp = models.DateT... |
# -*- coding: utf-8 -*-
"""
Created on Tue Dec 22 22:37:22 2015
@author: HSH
"""
"""
# DP solution
# Time Limite Exceeded
class Solution(object):
"""
class Solution:
# DP solution
# Time Limite Exceeded
def isMatch_v1(self, s, p):
m = len(s)
n = len(p)
dp = [[False] * (m + 1... |
# Random Forest Regression
|
import math
p,q = map(int,input().split())
if p%q != 0:
print(p)
pass
|
import os
import re
def __main__():
"""One time utility script ran for changes in attribute instantiation.
This script performs the below, one-time conversion on all attributes of
SpotiBot classes - this is done so that the same codes can instantiate
json API responses and serialized objects stored ... |
import pandas as pd
import matplotlib.pyplot as plt
#########
def SO(max_so=7,start_so=1,last_so=0,so=.02, so_step=1.1):
if start_so == 1:
last_so = so
else:
last_so = so + last_so*so_step
if start_so < max_so:
start_so+=1
return SO(max_so=max_so,start_so=start_so,last_so=l... |
#!/usr/bin/env python
import rospy
import tf
from sensor_msgs.msg import Imu
def callbackIMU(data):
br = tf.TransformBroadcaster()
br.sendTransform((0, 0, 2), (data.orientation.x,data.orientation.y,data.orientation.z,data.orientation.w), rospy.Time.now(), "cns5000_frame", "map")
'''
br2 = tf.T... |
import urllib.request
from numpy.core.fromnumeric import searchsorted
import pandas as pd
from datetime import datetime,timedelta
import requests
import xmltodict
import openpyxl
url_base = 'http://openapi.data.go.kr/openapi/service/rest/Covid19/getCovid19SidoInfStateJson?serviceKey='
url_serviceKey = 'XK5R2J%2B6nCIWN... |
from __future__ import absolute_import, division, unicode_literals
from six.moves.urllib.parse import urlencode
from twisted.trial.unittest import SynchronousTestCase
from twisted.internet.task import Clock
from mimic.core import MimicCore
from mimic.resource import MimicRoot
from mimic.test.helpers import json_requ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
from functools import partial
import json
import traceback
import imlib as im
import numpy as np
import pylib
import tensorflow as tf
import tflib as tl
import data
import models
# ========... |
# write by yqyao
#
import os
import pickle
import os.path
import sys
import torch
import torch.utils.data as data
import torchvision.transforms as transforms
import cv2
import numpy as np
from PIL import Image
from data.config import mydataset as cfg
from sklearn.preprocessing import LabelEncoder, OneHotEncoder
class... |
from .AssetBrowser import AssetBrowser
from bsp.leveleditor import MaterialPool
from PyQt5 import QtCore, QtGui
class MaterialBrowser(AssetBrowser):
FileExtensions = ["mat"]
Thumbnails = {}
def getThumbnail(self, filename, context):
# Delay the thumbnail loading so we don't freeze the applicati... |
def coin_problem(value, coin_list):
coin_list = sorted(coin_list, reverse = True)
count_coin = [0 for _ in range(len(coin_list))]
for idx, coin in enumerate(coin_list):
num_coin = int(value // coin)
count_coin[idx] = num_coin
value -= coin * num_coin
return count_coin
def fracti... |
x = fetch.Msidset(['PM3THV1T','PM3THV2T','PM4THV1T','PM4THV2T'], '2013:002:05:00:00.000','2013:002:07:00:00.000')
close('all')
subplot(2,1,1)
x['PM3THV1T'].plot('b', label='PM3THV1T')
x['PM3THV2T'].plot('r', label='PM3THV2T')
title('Sample MUPS-3 Temperatures during Heater Cycles')
legend()
subplot(2,1,2)
x['PM4THV... |
__author__ = 'sudoz'
import mymodule
mymodule.say_hi()
print('version is', mymodule.__version__) |
# Sean Kim
# Unit 3 Review Problem 4
def mean (my_list):
sum = 0
for num in list:
sum += num
return sum
list = []
|
import copy
import sys
INPUT = "1,0,0,3,1,1,2,3,1,3,4,3,1,5,0,3,2,1,10,19,1,6,19,23,1,10,23,27,2,27,13,31,1,31,6,35,2,6,35,39,1,39,5,43,1,6,43,47,2,6,47,51,1,51,5,55,2,55,9,59,1,6,59,63,1,9,63,67,1,67,10,71,2,9,71,75,1,6,75,79,1,5,79,83,2,83,10,87,1,87,5,91,1,91,9,95,1,6,95,99,2,99,10,103,1,103,5,107,2,107,6,111,1,111... |
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