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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f06e381bb59634a56edccfa28b2c65ece1dd503f | 0cc075bb2b1c30c257dc5eafa1e309ee9f5bfadc | /tests/__init__.py | ebd6f8d11eadd944b39f2ea50e1f67c0fadf85b2 | [] | no_license | gcaaa31928/BusTrackerTaipeiAppiumTesting | d2f49e39db41b9507d8f05338defed7c72f3e456 | 1363ca72e10369affd4397223d150556b9172995 | refs/heads/master | 2021-01-21T14:48:32.558734 | 2016-06-21T19:24:39 | 2016-06-21T19:24:39 | 57,986,263 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 154 | py | from . import test_basic
from . import test_app
from . import test_nearby_page
from . import test_nearby_page_stations
from .import test_nearby_page_info
| [
"gcaaa31928@gmail.com"
] | gcaaa31928@gmail.com |
7a5e780f3f3d6c46aa2f1a0d9a5af14ad5652bd5 | faf73941d7521ce3654cdd30bb74a2d66d2268bf | /avg2.py | dc73a47ea98768508dda6ec53ffd590a9bb613b7 | [] | no_license | lovemalus/Python | b8429ca141d81fb39861ba9af9d46b73750f3740 | 753aee9227d77836b709a26fd85e8db60bf33728 | refs/heads/master | 2022-02-21T15:12:50.799650 | 2019-10-04T04:10:54 | 2019-10-04T04:10:54 | 93,481,139 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 220 | py | def avg_com(numlist):
num_sum=0
for i in range(0,len(numlist)):
num_sum=num_sum+numlist[i]
avg=num_sum/len(numlist)
return
#################################
a=[10,15,20,35]
print avg_com(a)
| [
"popenging@gmail.com"
] | popenging@gmail.com |
b78dfb29942edd235434f9bf380f779d177759f5 | 06ad345f69a2f91b5c5a730bb4943f04cba93a44 | /Pygame/08_functions_and_graphics.py | 17721ec3ef30096ed81712cd5443420abe7f5daf | [] | no_license | whyj107/Python | 61bd58d202350616a322b7b75086976f354bda9b | 3c3649ca8c6ac6908ac14d6af201d508cc4fbf30 | refs/heads/master | 2021-04-13T23:49:13.470657 | 2021-03-27T10:08:39 | 2021-03-27T10:08:39 | 249,195,717 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,593 | py | """
Sample Python/Pygame Programs
Simpson College Computer Science
http://programarcadegames.com/
http://simpson.edu/computer-science/
Explanation video: http://youtu.be/_XdrKSDmzqA
"""
# Import a library of functions called 'pygame'
import pygame
def draw_snowman(screen, x, y):
""" --- Function for a snowman ---
Define a function that will draw a snowman at a certain location.
"""
pygame.draw.ellipse(screen, WHITE, [35 + x, 0 + y, 25, 25])
pygame.draw.ellipse(screen, WHITE, [23 + x, 20 + y, 50, 50])
pygame.draw.ellipse(screen, WHITE, [0 + x, 65 + y, 100, 100])
# Initialize the game engine
pygame.init()
# Define the colors we will use in RGB format
BLACK = [0, 0, 0]
WHITE = [255, 255, 255]
# Set the height and width of the screen
size = [400, 500]
screen = pygame.display.set_mode(size)
# Loop until the user clicks the close button.
done = False
clock = pygame.time.Clock()
while not done:
for event in pygame.event.get():
if event.type == pygame.QUIT:
done = True
# Clear the screen and set the screen background
screen.fill(BLACK)
# Snowman in upper left
draw_snowman(screen, 10, 10)
# Snowman in upper right
draw_snowman(screen, 300, 10)
# Snowman in lower left
draw_snowman(screen, 10, 300)
# Go ahead and update the screen with what we've drawn.
# This MUST happen after all the other drawing commands.
pygame.display.flip()
# This limits the while loop to a max of 60 times per second.
# Leave this out and we will use all CPU we can.
clock.tick(60) | [
"60024292+whyj107@users.noreply.github.com"
] | 60024292+whyj107@users.noreply.github.com |
75c820733cf2b1a079d76c667405b60d94ccd650 | 165e000e5b37b7f4fad637e170e153c6d87498e7 | /game.py | 5b31054fadbae3610ed9e9e5ef26520748045033 | [
"MIT"
] | permissive | javid-aliyev/balls-game | b40a88398ee0eb03cd179f59a285068b8f361b15 | cc74056e992ce4f88a0ab71600da1447f502b0ef | refs/heads/master | 2022-11-14T11:25:01.107504 | 2020-07-11T13:48:10 | 2020-07-11T13:48:10 | 278,865,127 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 607 | py | import pygame
from pygame.locals import *
# Init pygame, define some constants and global variables
RED = (255, 0, 0)
GREEN = (0, 255, 0)
BLUE = (0, 0, 255)
BLACK = (0, 0, 0)
WHITE = (255, 255, 255)
size = (600, 600) # width & height of the window
background = WHITE
screen = pygame.display.set_mode(size)
pygame.display.set_caption("Balls game")
clock = pygame.time.Clock()
# Main loop
run = True
while run:
screen.fill(background)
# Event loop
for event in pygame.event.get():
if event.type == QUIT:
run = False
# pygame.display.flip()
clock.tick(30)
pygame.display.update()
pygame.quit() | [
"lorderer12@gmail.com"
] | lorderer12@gmail.com |
78d2bfb3e65833d48216a9150fcf6810b4b81a12 | 7266b30f4b0a73105a92a09646dfb84001798e0d | /script1.py | 516db4350a40dc0812af02846c379bd838a6614a | [] | no_license | wibnudixon/sql_python_basics | b95c32240ff1dccd211dfac590a2b289cf911c4b | d7f33f1aef4d64834d220c07bb82de9d8e5a5c5c | refs/heads/main | 2023-07-10T07:04:01.050875 | 2021-08-17T23:36:11 | 2021-08-17T23:36:11 | 397,326,172 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 633 | py | import sqlite3
def create_table():
conn=sqlite3.connect("lite.db")
cur=conn.cursor()
cur.execute("CREATE TABLE IF NOT EXISTS store (item TEXT, quantity INTEGER, price REAL)")
conn.commit()
conn.close()
def insert(item,quantity,price):
conn=sqlite3.connect("lite.db")
cur=conn.cursor()
cur.execute("INSERT INTO store VALUES(?,?,?)",(item,quantity,price))
conn.commit()
conn.close()
insert("water glass",5,4)
def view():
conn=sqlite3.connect("lite.db")
cur=conn.cursor()
cur.execute("SELECT * from storea")
rows=cur.fetchall()
conn.close()
return rows
print(view())
| [
"wibnudickson@gmail.com"
] | wibnudickson@gmail.com |
b21f31670e5100427b3e6a75afc252745c99f7f8 | c7ada313e678b21da8be927077c51d5d59f510a7 | /CodeSurvivorServer.py | 8cde9d178b4a5afff27021c1f108f8fab76462e5 | [] | no_license | peasmallHUI/CodeSurvivor | b895f7fe5711b7920960f120dfeb12da7382c7d7 | 612776c0342a5944d544781c4b4da6c4d914ce69 | refs/heads/master | 2020-05-17T19:57:06.025272 | 2019-04-28T02:57:57 | 2019-04-28T02:57:57 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 20,059 | py | # -*- coding: utf-8 -*-
# @Author: Anderson
# @Date: 2019-04-02 19:22:08
# @Last Modified by: Anderson
# @Last Modified time: 2019-04-26 22:20:40
import pygame
import numpy as np
from func_timeout import func_set_timeout
import random
import os
import math
import importlib
import glob
WIDTH, HEIGHT = 30, 20
TILE_SIZE = 48
STATUS_BOARD_WIDTH = 6*TILE_SIZE
SHOW_LOGS_COUNT = 8
LOGS_FONT_SIZE = int(TILE_SIZE/2)
FPS = 60
# 包含有不同Agent文件的目录
AGENTS_FOLDER = '20190426-02'
# 每秒更新几次状态
TICK_RATE = 0.5
SHRINK_INTERVALS = [20, 20, 20, 10, 10, 10, 5, 5]
RED = (233, 114, 117)
GREEN = (11, 171, 118)
BLUE = (74, 217, 217)
WHITE = (255,255,255)
BLACK = (0, 0, 0)
YELLOW = (249, 194, 5)
tick_count = 0
winner = None
imgs = {}
game_logs = []
last_update_time = pygame.time.get_ticks()
class Player(pygame.sprite.Sprite):
def __init__(self, agent):
pygame.sprite.Sprite.__init__(self)
self.image = imgs['avatars'][0]
self.image.set_colorkey(BLACK)
self.origin_image = self.image.copy()
self.rect = self.image.get_rect()
self.radius = TILE_SIZE//2
self.rect.centerx = WIDTH/2
self.rect.bottom = HEIGHT
self.hp = 100
self.hunger_value = 20
self.thirst_value = 20
self.agent = agent
self.id = None
self.x = None
self.y = None
self.vx = 0
self.vy = 0
self.to_x = -1
self.to_y = -1
def set_image(self, image):
self.image = image
self.image.set_colorkey(BLACK)
self.origin_image = self.image.copy()
def update_info(self):
self.image = self.origin_image.copy()
if self.hp<=0:
return
pos = (self.x, self.y)
# 每个单位时间消耗一点食物和水分
self.hunger_value -= 1
if self.hunger_value<0:
self.hunger_value = 0
self.thirst_value -= 1
if self.thirst_value<0:
self.thirst_value = 0
# 食物或水分将为0则每个单位时间消耗一点HP
if self.hunger_value == 0:
self.hp -= 1
if self.thirst_value == 0:
self.hp -= 1
# 在水边每个单位时间补充5点水分
if game_map.near_water(self.x, self.y):
self.thirst_value += 5
if self.thirst_value>100:
self.thirst_value = 100
# 在森林里每个单位时间补充5点食物
if game_map.in_forest(self.x, self.y):
self.hunger_value += 5
if self.hunger_value>100:
self.hunger_value = 100
# 在水里每个单位时间减少1点HP
if game_map.in_water(self.x, self.y):
self.hp -= 1
if self.hp<0:
self.hp = 0
# 在毒圈里每个单位时间减少2点HP
if not game_map.in_safe_zone(self.x, self.y):
self.hp -= 2
if self.hp<0:
self.hp = 0
info_dict = {
'pos': pos,
'ground_map': game_map.get_map('ground'),
'safe_mask': game_map.get_map('safe_mask'),
'next_safe_mask': game_map.get_map('next_safe_mask'),
'next_safe_center': game_map.next_safe_center,
'tick': tick_count,
'count_down': game_map.shrink_countdown,
'players_pos': players_pos.copy(),
'hp': self.hp,
'hunger': self.hunger_value,
'thirst': self.thirst_value
}
try:
run_function_in_limited_time(self.agent.get_info, info_dict)
except:
print('{}函数出问题了'.format(self.agent.name))
# self.agent.get_info(info_dict)
def update(self):
if abs(self.rect.x-self.x*TILE_SIZE)<5 and abs(self.rect.y-self.y*TILE_SIZE)<5:
self.vx = self.vy = 0
self.rect.x = self.x*TILE_SIZE
self.rect.y = self.y*TILE_SIZE
self.rect.x += self.vx
self.rect.y += self.vy
def move(self, to_x, to_y):
dist = game_map.euclidean_dist(self.x, self.y, to_x, to_y)*TILE_SIZE
if dist == 0:
self.vx = 0
self.vy = 0
else:
v = 5 * dist / (FPS/TICK_RATE)
self.vx = v*(to_x-self.x)*TILE_SIZE/dist
self.vy = v*(to_y-self.y)*TILE_SIZE/dist
# 速度绝对值至少为1
if 0<abs(self.vx)<1:
self.vx = self.vx/abs(self.vx)
if 0<abs(self.vy)<1:
self.vy = self.vy/abs(self.vy)
# 将速度绝对值处理为整数
if abs(self.vx)>0:
self.vx = self.vx/abs(self.vx)*abs(int(self.vx))
if abs(self.vy)>0:
self.vy = self.vy/abs(self.vy)*abs(int(self.vy))
self.x = to_x
self.y = to_y
def set_pos(self, x, y):
self.rect.x = x*TILE_SIZE
self.rect.y = y*TILE_SIZE
self.x = x
self.y = y
class Bullet(pygame.sprite.Sprite):
def __init__(self, x, y, to_x, to_y, shoot_success):
pygame.sprite.Sprite.__init__(self)
self.image = imgs['bullet']
self.rect = self.image.get_rect()
self.rect.centerx = x*TILE_SIZE + TILE_SIZE/2
self.rect.centery = y*TILE_SIZE + TILE_SIZE/2
self.destination = (to_x*TILE_SIZE + TILE_SIZE/2, to_y*TILE_SIZE + TILE_SIZE/2)
self.vx = (to_x-x)/game_map.euclidean_dist(x, y, to_x, to_y)*TILE_SIZE
self.vy = (to_y-y)/game_map.euclidean_dist(x, y, to_x, to_y)*TILE_SIZE
self.shoot_success = shoot_success
def update(self):
if self.shoot_success and\
abs(self.rect.centerx - self.destination[0])<TILE_SIZE/2 and\
abs(self.rect.centery - self.destination[1])<TILE_SIZE/2:
self.kill()
if self.rect.centerx<0 or self.rect.centery<0 or\
self.rect.centerx>WIDTH*TILE_SIZE or self.rect.centery>HEIGHT*TILE_SIZE:
self.kill()
self.rect.x += self.vx
self.rect.y += self.vy
class GameMap(object):
"""docstring for GameMap"""
# 0：草地
# 1：岩石
# 2：树林
# 3：水源
def __init__(self):
self.ground_map = None
self.safe_mask = None
self.deltas = [(-1, -1), (0, -1), (1, -1), (-1, 0), (1, 0), (-1, 1), (0, 1), (1, 1)]
self.next_safe_center = None
self.next_safe_mask = None
self.last_shrink_time = 0
self.shrink_time_intervals = SHRINK_INTERVALS
self.shrink_countdown = self.shrink_time_intervals[0]
self.next_safe_radius = WIDTH//2
self.cur_safe_radius = 1.414*WIDTH
self.shrink_done = False
def init_map(self):
self.ground_map = np.zeros((WIDTH, HEIGHT), dtype = int)
for x in range(len(self.ground_map)):
for y in range(len(self.ground_map[0])):
current_type = self.ground_map[x][y]
nearby_count = [0, 0, 0, 0]
for delta in self.deltas:
delta_x, delta_y = delta
if self.reachable(x+delta_x, y+delta_y):
nearby_count[self.ground_map[x+delta_x][y+delta_y]] += 1
# 生成各种地形的初始概率
prob_count = np.array([37, 10, 21, 16])
# 对于每个点的地形，更倾向于生成和周围8个点一样类型的地形
prob_count += np.array(nearby_count)*2
ground_type_choice = []
for index, value in enumerate(prob_count):
ground_type_choice += [index for _ in range(value)]
self.ground_map[x][y] = random.choice(ground_type_choice)
self.safe_mask = np.ones((WIDTH, HEIGHT), dtype = int)
self.next_safe_center = (random.randint(WIDTH//4, WIDTH*3//4), random.randint(HEIGHT//4, HEIGHT*3//4))
# 设定当前安全圈半径为距离最远顶点的距离
self.cur_safe_radius = max(
self.euclidean_dist(self.next_safe_center[0], self.next_safe_center[1], 0, 0),
self.euclidean_dist(self.next_safe_center[0], self.next_safe_center[1], WIDTH, 0),
self.euclidean_dist(self.next_safe_center[0], self.next_safe_center[1], 0, HEIGHT),
self.euclidean_dist(self.next_safe_center[0], self.next_safe_center[1], WIDTH, HEIGHT)
)
self.next_safe_mask = np.zeros((WIDTH, HEIGHT), dtype = int)
for x in range(len(self.next_safe_mask)):
for y in range(len(self.next_safe_mask[0])):
dist = self.euclidean_dist(x, y, self.next_safe_center[0], self.next_safe_center[1])
if dist<self.next_safe_radius:
self.next_safe_mask[x][y] = 1
def reachable(self, x, y):
return x>=0 and x<WIDTH and y>=0 and y<HEIGHT
def can_stand(self, x, y):
return self.reachable(x, y) and self.ground_map[x][y] != 1
def near_water(self, x, y):
for delta in self.deltas:
delta_x, delta_y = delta
if self.reachable(x+delta_x, y+delta_y):
if self.ground_map[x+delta_x][y+delta_y] == 3:
return True
return False
def in_forest(self, x, y):
return self.ground_map[x][y] == 2
def in_water(self, x, y):
return self.ground_map[x][y] == 3
def in_safe_zone(self, x, y):
return self.safe_mask[x][y] == 1
def get_map(self, map_type):
if map_type == 'ground':
return self.ground_map.copy()
elif map_type == 'safe_mask':
return self.safe_mask.copy()
elif map_type == 'next_safe_mask':
return self.next_safe_mask.copy()
def euclidean_dist(self, x1, y1, x2, y2):
return math.sqrt((x1-x2)**2+(y1-y2)**2)
def __generate_next_safe_circle(self):
safe_count = self.next_safe_mask.sum()
if safe_count <= 1:
self.shrink_done = True
self.safe_mask = np.zeros((WIDTH, HEIGHT), dtype = int)
self.next_safe_mask = np.zeros((WIDTH, HEIGHT), dtype = int)
return
last_safe_center = self.next_safe_center
# 找到在安全圈内的一个新的中心点
lx, ly = last_safe_center
self.next_safe_center = (
random.randint(
max(0, int(lx-self.next_safe_radius)),
min(WIDTH-1, int(lx+self.next_safe_radius))),
random.randint(
max(0, int(ly-self.next_safe_radius)),
min(HEIGHT-1, int(ly+self.next_safe_radius))))
nx, ny = self.next_safe_center
while not self.next_safe_mask[nx][ny]:
self.next_safe_center = (
random.randint(
max(0, int(lx-self.next_safe_radius)),
min(WIDTH-1, int(lx+self.next_safe_radius))),
random.randint(
max(0, int(ly-self.next_safe_radius)),
min(HEIGHT-1, int(ly+self.next_safe_radius))))
nx, ny = self.next_safe_center
# 安全圈半径缩小为二分之一
self.next_safe_radius /= 2
# 以新安全圈中心为圆心重新调整半径
self.cur_safe_radius += self.euclidean_dist(*last_safe_center, *self.next_safe_center)
for x in range(len(self.next_safe_mask)):
for y in range(len(self.next_safe_mask[0])):
dist = self.euclidean_dist(x, y, *self.next_safe_center)
if dist>self.next_safe_radius:
self.next_safe_mask[x][y] = 0
def __print_console_map(self, print_map):
for x in range(len(print_map)):
s = []
for y in range(len(print_map[0])):
if print_map[x][y]:
s.append('o')
else:
s.append('X')
print(' '.join(s))
def update(self):
if self.shrink_time_intervals and not self.shrink_done:
if tick_count - self.last_shrink_time > self.shrink_time_intervals[0]:
if self.cur_safe_radius>self.next_safe_radius:
self.cur_safe_radius -= 0.5
if self.cur_safe_radius<self.next_safe_radius:
self.safe_mask = self.next_safe_mask.copy()
self.__generate_next_safe_circle()
self.last_shrink_time = tick_count
self.shrink_time_intervals.pop(0)
else:
for x in range(len(self.ground_map)):
for y in range(len(self.ground_map[0])):
dist = self.euclidean_dist(x, y, *self.next_safe_center)
if dist>self.cur_safe_radius:
self.safe_mask[x][y] = 0
else:
self.shrink_countdown = self.shrink_time_intervals[0] - (tick_count - self.last_shrink_time)
def import_imgs():
global imgs
img_dir = os.path.join(os.path.dirname(__file__), 'img')
grass_dir = os.path.join(img_dir, 'grass.png')
imgs['grass'] = pygame.transform.scale(
pygame.image.load(grass_dir).convert(),
(TILE_SIZE, TILE_SIZE))
water_dir = os.path.join(img_dir, 'water.png')
imgs['water'] = pygame.transform.scale(
pygame.image.load(water_dir).convert(),
(TILE_SIZE, TILE_SIZE))
forest_dir = os.path.join(img_dir, 'forest.png')
imgs['forest'] = pygame.transform.scale(
pygame.image.load(forest_dir).convert(),
(TILE_SIZE, TILE_SIZE))
stone_dir = os.path.join(img_dir, 'stone.png')
imgs['stone'] = pygame.transform.scale(
pygame.image.load(stone_dir).convert(),
(TILE_SIZE, TILE_SIZE))
dark_stone_dir = os.path.join(img_dir, 'dark_stone.png')
imgs['dark_stone'] = pygame.transform.scale(
pygame.image.load(dark_stone_dir).convert(),
(TILE_SIZE, TILE_SIZE))
bullet_dir = os.path.join(img_dir, 'bullet.png')
imgs['bullet'] = pygame.transform.scale(
pygame.image.load(bullet_dir).convert_alpha(),
(TILE_SIZE//6, TILE_SIZE//6))
avatar_dir = os.path.join(img_dir, 'avatars')
imgs['avatars'] = []
for avatar_path in os.listdir(avatar_dir):
avatar_path = os.path.join(avatar_dir, avatar_path)
imgs['avatars'].append(
pygame.transform.scale(
pygame.image.load(avatar_path).convert(),
(TILE_SIZE, TILE_SIZE)))
def init_players_pos(game_map):
players_pos = []
for player in players:
x = random.randint(1, WIDTH-2)
y = random.randint(1, HEIGHT-2)
while game_map[x][y] == 1 or game_map[x][y] == 3 or (x,y) in players_pos:
x = random.randint(1, WIDTH-2)
y = random.randint(1, HEIGHT-2)
players_pos.append((x, y))
player.set_pos(x, y)
return players_pos
def draw_text(text, surface, color, font_size, x, y, align='center'):
font = pygame.font.Font('./font/zhankukuaile.ttf', font_size)
text_surface = font.render(text, True, color)
text_rect = text_surface.get_rect()
if align=='center':
text_rect.midtop = (x, y)
elif align=='left':
text_rect.left = x
text_rect.top = y
elif align=='right':
text_rect.right = x
text_rect.top = y
surface.blit(text_surface, text_rect)
def draw_map():
global screen
g_map = game_map.get_map('ground')
for x in range(len(g_map)):
for y in range(len(g_map[0])):
if g_map[x][y]==0:
screen.blit(imgs['grass'], (x*TILE_SIZE, y*TILE_SIZE))
elif g_map[x][y]==1:
screen.blit(imgs['stone'], (x*TILE_SIZE, y*TILE_SIZE))
elif g_map[x][y]==2:
screen.blit(imgs['grass'], (x*TILE_SIZE, y*TILE_SIZE))
screen.blit(imgs['forest'], (x*TILE_SIZE, y*TILE_SIZE))
elif g_map[x][y]==3:
screen.blit(imgs['water'], (x*TILE_SIZE, y*TILE_SIZE))
if not game_map.safe_mask[x][y]:
overlay = pygame.Surface((TILE_SIZE,TILE_SIZE))
overlay.set_alpha(50)
overlay.fill((0,0,0))
screen.blit(overlay, (x*TILE_SIZE, y*TILE_SIZE))
if game_map.next_safe_mask[x][y]:
overlay = pygame.Surface((TILE_SIZE,TILE_SIZE))
overlay.set_alpha(100)
overlay.fill(BLUE)
screen.blit(overlay, (x*TILE_SIZE, y*TILE_SIZE))
def draw_status_board():
global screen
for x in range(WIDTH, WIDTH+6):
for y in range(HEIGHT):
screen.blit(imgs['dark_stone'], (x*TILE_SIZE, y*TILE_SIZE))
x = (WIDTH+1)*TILE_SIZE
dh = 2*HEIGHT*TILE_SIZE/(3*len(players)+1)
y = dh/2
for index, player in enumerate(players):
screen.blit(player.origin_image, (x, y))
draw_text(player.agent.name, screen, WHITE, int(TILE_SIZE/2), x+TILE_SIZE+5, y+TILE_SIZE/4, 'left')
pygame.draw.rect(screen, RED, (x, y+TILE_SIZE+5, TILE_SIZE*4*player.hp/100, 5))
pygame.draw.rect(screen, BLUE, (x, y+TILE_SIZE+13, TILE_SIZE*4*player.hunger_value/100, 5))
pygame.draw.rect(screen, GREEN, (x, y+TILE_SIZE+21, TILE_SIZE*4*player.thirst_value/100, 5))
y += 1.5*dh
def draw_game_logs():
global screen
x = WIDTH*TILE_SIZE
y = 10
for index, game_log in enumerate(game_logs[-SHOW_LOGS_COUNT:]):
draw_text(game_log, screen, WHITE, LOGS_FONT_SIZE, x, y, 'right')
y += LOGS_FONT_SIZE + 5
# 限制玩家函数运行时间，超时则报错
@func_set_timeout(0.5)
def run_function_in_limited_time(f, *args):
result = f(*args)
return result
pygame.init()
screen = pygame.display.set_mode((WIDTH*TILE_SIZE+STATUS_BOARD_WIDTH, HEIGHT*TILE_SIZE))
pygame.display.set_caption("Code Survivor")
clock = pygame.time.Clock()
import_imgs()
players = pygame.sprite.Group()
bullets = pygame.sprite.Group()
# 从包含有Agent的目录下将所有Agent文件中的Agent类批量import进来
# 此处暂未做任何安全性检查，请自行辨别文件内容是否安全！
for file_path in glob.glob('{}/*.py'.format(AGENTS_FOLDER)):
if os.path.isfile(file_path):
module_spec = importlib.util.spec_from_file_location('Agent', file_path)
module = importlib.util.module_from_spec(module_spec)
module_spec.loader.exec_module(module)
player = Player(module.Agent())
players.add(player)
# 如果想采用普通import方法导入Agent则用下面方法
# from DemoAgent import Agent
# player = Player(Agent())
# players.add(player)
for index, player in enumerate(players):
player.id = index
avatar = imgs['avatars'].pop(random.randint(0, len(imgs['avatars'])-1))
player.set_image(avatar)
game_map = GameMap()
game_map.init_map()
players_pos = init_players_pos(game_map.get_map('ground'))
players.update()
print(players_pos)
game_continue = False
game_over = False
while not game_continue:
clock.tick(FPS)
event_list = pygame.event.get()
for event in event_list:
if event.type == pygame.QUIT:
game_over = True
game_continue = True
if event.type == pygame.KEYDOWN:
if event.key == pygame.K_SPACE:
game_continue = True
draw_map()
players.draw(screen)
for index, player in enumerate(players):
name = player.agent.name
x, y = player.x, player.y
draw_text(name, screen, WHITE, 40, x*TILE_SIZE+TILE_SIZE/2, (y+1)*TILE_SIZE)
draw_status_board()
pygame.display.flip()
while not game_over:
clock.tick(FPS)
event_list = pygame.event.get()
for event in event_list:
if event.type == pygame.QUIT:
game_over = True
now = pygame.time.get_ticks()
if now - last_update_time > 1000/TICK_RATE and winner is None:
for player in players:
player.update_info()
for index, player in enumerate(players):
if player.hp > 0:
try:
action_type, action_value = run_function_in_limited_time(player.agent.take_action)
if action_type == 'move':
x, y = action_value
if abs(x-player.x)<=1 and abs(y-player.y)<=1 and\
game_map.can_stand(x, y):
player.move(x, y)
players_pos[index] = action_value
game_logs.append('{}移动到了{}'.format(player.agent.name, (x,y)))
elif action_type == 'shoot':
x, y = action_value
shoot_success_prob = 1 - game_map.euclidean_dist(x, y, player.x, player.y)/(WIDTH/2)
if shoot_success_prob<0:
shoot_success_prob = 0
if random.random()<shoot_success_prob:
shoot_success = True
else:
shoot_success = False
bullet = Bullet(player.x, player.y, x, y, shoot_success)
bullets.add(bullet)
if shoot_success:
for victim in players:
if (x, y) == (victim.x, victim.y) and victim != player:
game_logs.append('{0}击中{1}！{1}的HP-{2}!'.format(
player.agent.name, victim.agent.name, int(shoot_success_prob*10)+1))
# print('{0}击中{1}！{1}的HP-{2}!'.format(
# player.agent.name, victim.agent.name, int(shoot_success_prob*10)+1))
victim.hp -= int(shoot_success_prob*10)+1
if victim.hp<0:
victim.hp = 0
break
else:
game_logs.append('{}开枪未中！'.format(player.agent.name))
# print('{} miss the shot!'.format(player.agent.name))
except:
game_logs.append('{}函数出问题了'.format(player.agent.name))
print('{}函数出问题了'.format(player.agent.name))
game_map.update()
last_update_time = now
tick_count += 1
players.update()
bullets.update()
draw_map()
alive_players = []
for index, player in enumerate(players):
if player.hp > 0:
alive_players.append(player)
screen.blit(player.image, player.rect)
pygame.draw.rect(player.image, RED, (0, 0, player.rect.w*player.hp/100, 3))
pygame.draw.rect(player.image, BLUE, (0, 4, player.rect.w*player.hunger_value/100, 3))
pygame.draw.rect(player.image, GREEN, (0, 8, player.rect.w*player.thirst_value/100, 3))
name = player.agent.name
draw_text(name, screen, WHITE, 40, player.rect.x+TILE_SIZE/2, player.rect.y+TILE_SIZE)
else:
players_pos[index] = (-1, -1)
if len(alive_players) == 1:
winner = alive_players[0]
bullets.draw(screen)
draw_status_board()
draw_game_logs()
if winner is not None:
draw_text(
winner.agent.name,
screen, YELLOW, 80, WIDTH*TILE_SIZE/2, HEIGHT*TILE_SIZE/2-100)
draw_text(
'WINNER WINNER'.format(game_map.shrink_countdown),
screen, YELLOW, 80, WIDTH*TILE_SIZE/2, HEIGHT*TILE_SIZE/2)
draw_text(
'CHICKEN DINNER!'.format(game_map.shrink_countdown),
screen, YELLOW, 80, WIDTH*TILE_SIZE/2, HEIGHT*TILE_SIZE/2+85)
if game_map.shrink_countdown>0:
draw_text(
'缩圈倒计时：{}'.format(game_map.shrink_countdown),
screen, WHITE, 40, WIDTH*TILE_SIZE/2, 10)
pygame.display.flip()
| [
"andersonby@163.com"
] | andersonby@163.com |
bb17249026c1deae0e141b080a7df93e3e2fe247 | 9238145bf991752d0542dc2679ca7c9af654047b | /find_largest_value_in_each_row_of_binary_tree.py | d441958f8c598a1cdc13299216839373f488f5e5 | [] | no_license | jaijaish98/ProblemSolving | d048a6168c50b3eaeec71be2e304c7aab2471258 | 3cdcba9c03b5951772f6ab72ef167a65febf1ee4 | refs/heads/master | 2023-08-08T10:08:43.908063 | 2023-07-26T05:32:24 | 2023-07-26T05:32:24 | 262,354,137 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,572 | py | """
Find Largest Value in Each Tree Row
You need to find the largest value in each row of a binary tree.
Example:
Input:
1
/ \
3 2
/ \ \
5 3 9
Output: [1, 3, 9]
"""
# Definition for a binary tree node.
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
def findLargestValues(self, root):
if root == None:
return
largeValues = []
stack = []
stack.append(root)
stack.append('X')
maxVal = float("-inf")
while (len(stack) >= 1):
x = stack.pop(0)
if x == 'X':
largeValues.append(maxVal)
stack.append('X')
maxVal = float("-inf")
if (len(stack) == 1):
return largeValues
else:
if x.val > maxVal:
maxVal = x.val
if x.left != None:
stack.append(x.left)
if x.right != None:
stack.append(x.right)
return largeValues
if __name__ == "__main__":
tree = TreeNode(1,None,None)
tree.right = TreeNode(2,None,None)
tree.left = TreeNode(3,None,None)
tree.right.right = TreeNode(9, None, None)
tree.left.left = TreeNode(5, None, None)
tree.left.right = TreeNode(3, None, None)
largeValues = Solution()
largeValuesArr = largeValues.findLargestValues(tree)
print(largeValuesArr)
| [
"jaijaish98@gmail.com"
] | jaijaish98@gmail.com |
561731fc6b914f26baf217c96c44b1883875dc25 | 1cc62f70e1a1887a8bdecc074145cbf5e5e218b6 | /tools/logger.py | bcc7ff4a7086aca359bc6adc78d2fb4ed46a96ca | [
"Apache-2.0"
] | permissive | yeongjoonJu/CFR-GAN | 259707f0f3c1a37fa095456af78829a181170430 | 04445dc96db48322b1de62cffb57084bacf64746 | refs/heads/main | 2023-04-10T06:55:02.652315 | 2022-12-19T11:52:11 | 2022-12-19T11:52:11 | 399,314,005 | 69 | 5 | null | 2022-07-02T12:37:57 | 2021-08-24T02:46:48 | Python | UTF-8 | Python | false | false | 2,391 | py | import random
import torch
from torch.utils.tensorboard import SummaryWriter
class CFRLogger(SummaryWriter):
def __init__(self, logdir):
super(CFRLogger, self).__init__(logdir)
def log_training(self, loss_D, loss_GAN, loss_mask, loss_per, loss_rec, loss_id, iteration):
self.add_scalars('GAN_loss', {"D": loss_D, "G": loss_GAN}, global_step=iteration)
self.add_scalar('Occ mask', loss_mask, iteration)
self.add_scalar("Perceptual loss", loss_per, iteration)
self.add_scalar("Identity loss", loss_id, iteration)
self.add_scalar("Occlusion-aware Rec loss", loss_rec, iteration)
def log_training_abl(self, loss_D, loss_GAN, loss_per, loss_rec, iteration):
self.add_scalars('GAN_loss', {"D": loss_D, "G": loss_GAN}, global_step=iteration)
self.add_scalar("Perceptual loss", loss_per, iteration)
self.add_scalar("Occlusion-aware Rec loss", loss_rec, iteration)
def log_train_image(self, rotated_grid, guidance_grid, out_grid, occ_grid, target_grid, iteration):
self.add_image("input", rotated_grid, iteration)
self.add_image("guidance", guidance_grid, iteration)
self.add_image("output", out_grid, iteration)
self.add_image("occlusion", occ_grid, iteration)
self.add_image("target", target_grid, iteration)
def log_train_image_abl(self, rotated_grid, guidance_grid, out_grid, target_grid, iteration):
self.add_image("input", rotated_grid, iteration)
self.add_image("guidance", guidance_grid, iteration)
self.add_image("target", target_grid, iteration)
self.add_image("output", out_grid, iteration)
def log_test_image(self, img_grid, out_grid, rot_grid, gui_grid, mask_grid, iteration):
self.add_image("test-input", img_grid, iteration)
self.add_image("test-output", out_grid, iteration)
self.add_image("test-rotated", rot_grid, iteration)
self.add_image("test-guidance", gui_grid, iteration)
self.add_image("test-occlusion", mask_grid, iteration)
def log_test_image_abl(self, img_grid, out_grid, rot_grid, gui_grid, iteration):
self.add_image("test-input", img_grid, iteration)
self.add_image("test-output", out_grid, iteration)
self.add_image("test-rotated", rot_grid, iteration)
self.add_image("test-guidance", gui_grid, iteration) | [
"yj_ju@korea.ac.kr"
] | yj_ju@korea.ac.kr |
2f9d00cb8850c7a26f90385ef8cc80e0e9725eac | ba89b17864ece80b2b2602bb2c744e19c1a64a39 | /tests/scoring_engine/test_config.py | 00d498f3da9ac7316782facd71ca909e422e5a47 | [
"MIT"
] | permissive | scoringengine/scoringengine | 244064a3bf89fd2b7912171f1541087bbec88aef | b669ee9341c8dcdafaa5e75c8dcf5501977eb6e7 | refs/heads/master | 2023-08-17T07:19:32.777182 | 2023-05-02T16:15:09 | 2023-05-02T16:15:09 | 71,934,380 | 87 | 39 | MIT | 2023-09-09T06:01:12 | 2016-10-25T20:05:11 | Python | UTF-8 | Python | false | false | 591 | py | import sys
class MockConfigLoader():
def __init__(self):
self.mock_keyname = True
class TestConfig(object):
def test_config_variable(self):
if 'scoring_engine.config_loader' in sys.modules:
del sys.modules['scoring_engine.config_loader']
import scoring_engine.config_loader
scoring_engine.config_loader.ConfigLoader = MockConfigLoader
if 'scoring_engine.config' in sys.modules:
del sys.modules['scoring_engine.config']
from scoring_engine.config import config
assert config.mock_keyname is True
| [
"bmyers@mozilla.com"
] | bmyers@mozilla.com |
9441ecd27a8c8c344e49468fa80251036af9c061 | 94c0f3a9024c8b845444cdd714722277891a0d67 | /leave/views.py | c8f5b56371339be715e909645d949b67401b728d | [] | no_license | Ahmedmamdouh40/EmployeeManager | 05a8f73b43bef87b07b539011426502c02948338 | b89b1b6aef9215f6eef29415cc169f2d1074c2bd | refs/heads/main | 2023-02-10T14:20:48.839043 | 2021-01-05T12:54:01 | 2021-01-05T12:54:01 | 324,760,792 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,523 | py | from django.shortcuts import render
from django.shortcuts import get_object_or_404
from .models import LeaveMaster, EmployeeLeave
from employee.models import Employee
from .forms import LeaveMasterForm ,EmployeeLeaveForm
from django.http import HttpResponseRedirect,HttpResponse
from django.contrib import messages
from datetime import datetime
from django.conf import settings
from django.core.mail import send_mail
from django.contrib.auth.decorators import login_required
######### LeaveMaster CRUD #########
@login_required
def leave_masters_list(request):
all_leave_masters = LeaveMaster.objects.all()
context = {'leave_masters' : all_leave_masters}
return render(request , 'leave_master/leave_masters_list.html' , context)
@login_required
def create_leave_master(request):
form = LeaveMasterForm
if request.method == "POST":
form = LeaveMasterForm(request.POST)
if form.is_valid():
form.save()
return HttpResponseRedirect('/leaves')
return render(request , 'leave_master/add_leave_master.html' , {'form':form})
@login_required
def edit_leave_master(request , leave_master_id):
leave_master = get_object_or_404(LeaveMaster , id=leave_master_id)
if request.method == "POST":
form = LeaveMasterForm(request.POST , instance=leave_master)
if form.is_valid():
form.save()
return HttpResponseRedirect('/leaves')
else:
form = LeaveMasterForm(instance=leave_master)
return render(request , 'leave_master/edit_leave_master.html' , {'form':form})
@login_required
def delete_leave_master(request , leave_master_id):
leave_master = LeaveMaster.objects.get(id = leave_master_id)
leave_master.delete()
return HttpResponseRedirect('/leaves')
######### EmployeeLeave CRUD #########
@login_required
def employee_leaves_list(request):
all_employee_leaves = EmployeeLeave.objects.all()
context = {'employee_leaves' : all_employee_leaves}
return render(request , 'employee_leaves/employee_leaves_list.html' , context)
@login_required
def create_employee_leave(request):
form = EmployeeLeaveForm
if request.method == "POST":
form = EmployeeLeaveForm(request.POST)
emp_id = form.data['emp_name']
leave_type = form.data['leave_type']
start_date = datetime.strptime(form.data['start_date'], '%Y-%m-%d')
end_date = datetime.strptime(form.data['end_date'], '%Y-%m-%d')
leave_value = EmployeeLeave.detect_leave_value_due_to_type(leave_type)
if form.is_valid():
if EmployeeLeave.is_in_a_leave(emp_id) == False:
if EmployeeLeave.is_leave_balance_valid(emp_id,leave_value,start_date,end_date)== True:
## mail ##
emp = Employee.objects.get(id = emp_id)
leave_type_obj = LeaveMaster.objects.get(id = leave_type)
subject = 'welcome to Mashreq Arabia HR'
message = f'''Hi sir,Please review mr {emp.full_name} leave request.
Leave Start Date: {start_date}.
Leave End Date: {end_date}.
Leave Type: {leave_type_obj.name}.
Employee Available Balance:{emp.leave_balance}'''
email_from = settings.EMAIL_HOST_USER
recipient_list = ["ahmedmamdouh2727@gmail.com"]
send_mail( subject, message, email_from, recipient_list )
## end mail ##
form.save()
return HttpResponseRedirect('/leaves/employee_leaves')
else:
messages.error(request , 'You do not have enough balance for this leave')
else:
messages.error(request, 'You can not ask for a new leave while you are in another leave')
return render(request , 'employee_leaves/add_employee_leave.html' , {'form':form})
@login_required
def edit_employee_leave(request , employee_leave_id):
employee_leave = get_object_or_404(EmployeeLeave , id=employee_leave_id)
if request.method == "POST":
form = EmployeeLeaveForm(request.POST , instance=employee_leave)
if form.is_valid():
form.save()
return HttpResponseRedirect('/leaves/employee_leaves')
else:
form = EmployeeLeaveForm(instance=employee_leave )
return render(request , 'employee_leaves/edit_employee_leave.html' , {'form':form})
@login_required
def delete_employee_leave(request , employee_leave_id):
employee_leave = EmployeeLeave.objects.get(id = employee_leave_id)
employee_leave.delete()
return HttpResponseRedirect('/leaves/employee_leaves')
##### Actions on Leaves ######
@login_required
def change_emp_leave_balance(emp_id , leave_type , start_date , end_date):
emp = Employee.objects.filter(id = emp_id)
leave_value = EmployeeLeave.detect_leave_value_due_to_type(leave_type)
requested_leave_period = end_date - start_date
requested_leave_value = requested_leave_period.days * leave_value
leave_balance = emp[0].leave_balance - requested_leave_value
emp.update(leave_balance = leave_balance)
return emp[0].leave_balance
@login_required
def accept_leave(request , employee_leave_id):
leave = EmployeeLeave.objects.filter(id = employee_leave_id)
new_balance = change_emp_leave_balance(leave[0].emp_name.id , leave[0].leave_type.id , leave[0].start_date , leave[0].end_date)
leave.update(leave_status = "APPROAVED")
## mail ##
emp = Employee.objects.get(id = leave[0].emp_name.id)
subject = 'Your Leave Request'
message = f'''Hi {emp.full_name}, We want to inform you that your leave request has been approaved.'''
email_from = settings.EMAIL_HOST_USER
recipient_list = ["ahmedmamdouh2727@gmail.com"]
send_mail( subject, message, email_from, recipient_list )
## end mail ##
return HttpResponseRedirect('/leaves/employee_leaves')
@login_required
def reject_leave(request , employee_leave_id):
leave = EmployeeLeave.objects.filter(id = employee_leave_id)
leave.update(leave_status = "REJECTED")
## mail ##
emp = Employee.objects.get(id = leave[0].emp_name.id)
subject = 'Your Leave Request'
message = f'''Hi {emp.full_name}, We want to inform you that your leave request has been rejected.'''
email_from = settings.EMAIL_HOST_USER
recipient_list = ["ahmedmamdouh2727@gmail.com"]
send_mail( subject, message, email_from, recipient_list )
## end mail ##
return HttpResponseRedirect('/leaves/employee_leaves')
| [
"ahmedmamdouh2727@gmail.com"
] | ahmedmamdouh2727@gmail.com |
439c27a07c967dc15b31ec00920d5bb929649a72 | 7760b42452360c7f6dded6168076d4b7691657c7 | /aaaaa.py | f3d63417ce6cfad310649ed13e0901de0b13c24e | [] | no_license | camis789/gatinho | a44c98f081b8078e6751e75b18559d2829ed5eea | 4f2bdc1bdf85414e6fcafe4d1c7b41c21d095702 | refs/heads/master | 2020-09-11T12:11:57.026424 | 2019-11-16T06:56:19 | 2019-11-16T06:56:19 | 222,059,996 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,076 | py | a = input ('Nossa olha só, que pedaço de mal caminho, fala teu nome aí safado')
if a == 'Echter' or 'Henrique':
print ('olá gatinho, cola aqui lexk pra eu te falar uma parada')
else:
print ('Try again')
b = input ('Você me ama?')
if b == 'sim' or 'Sim':
print ('então deixa eu continuar')
else:
print ('para de me trollar demonio ')
print ('Você é o amor da minha vida hihihi')
print ('Isso aqui não é um slide mas olha como é coloridinhoo')
print ('Eu amo você')
print ('E o carinho que você tem por mim')
print ('E como você é um amorzinho comigo')
print ('aaa Eu espero que você leia meu caderninho as vezes')
print (' e eu espero que você goste desse mimo aqui também')
print ('Fiquei um tempão pesquisando p descobrir como q faz essa parada aqui em cima')
print ('mas vale a pena')
print ('porque é você')
print ('e pra mim você sempre vai valer a pena hihi')
print ('Obrigada por você ser você hihi')
print ('E por sua rola encaixar em mim tão perfeitamente <3 ')
print ('Mais uma vez: você é o amor da minha vida viu ') | [
"camila-caxambu@hotmail.com"
] | camila-caxambu@hotmail.com |
0b90c23e619a3ae46e07bc5db9c5a8cdcf249e3e | 4a76ac7ad1aaeec44729ab6d5b121b1cae0d910c | /Week 9/pathSum3.py | 4ff31f3c3811e17e09b8c3e224c844bfd576a84c | [] | no_license | kalmad99/CompetitiveProgramming | 2d825e839faa9e13ef43dbb45498bd3eef6723ab | 6cbb1f12f7670d0016fa2af8f2dd597d9123070d | refs/heads/main | 2023-03-25T20:18:23.389396 | 2021-03-24T21:36:52 | 2021-03-24T21:36:52 | 325,816,614 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,225 | py | # Definition for a binary tree node.
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
def pathSum(self, root: TreeNode, sum: int) -> int:
total, result, counter = {0: 1}, 0, [0]
if not root:
return 0
else:
self.dfs(root, total, result, counter, sum)
return counter[0]
def dfs(self, node, total, result, counter, k):
if not node.left and not node.right:
if result + node.val - k in total:
counter[0] += total[result + node.val - k]
return
else:
result += node.val
if result - k in total:
counter[0] += total[result - k]
if result in total:
total[result] += 1
else:
total[result] = 1
if node.left:
self.dfs(node.left, total, result, counter, k)
if node.right:
self.dfs(node.right, total, result, counter, k)
if total[result] == 1:
total.pop(result)
else:
total[result] -= 1
result -= node.val | [
"kalemesfin12@gmail.com"
] | kalemesfin12@gmail.com |
395b4e7921e996f8e8d5de75f46625b9155d3e5d | 6d8089d4c47a54bfbca4400e0d13f63b86cf95cd | /venv/bin/rst2odt_prepstyles.py | 5161dced5b7c4712e8ff9634321a35fec14fa061 | [] | no_license | DavidG33k/COVIDPreventionSystem | 7401422b2934e21572c3437c7a5f73d8e8ce4533 | f36ec36bb6c8768f30cf03b54d0ff158d1fe4378 | refs/heads/main | 2023-04-05T06:14:36.274138 | 2021-03-29T15:03:45 | 2021-03-29T15:03:45 | 324,145,589 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,775 | py | #!/home/david/PycharmProjects/COVIDPreventionSystem/venv/bin/python
# $Id: rst2odt_prepstyles.py 8346 2019-08-26 12:11:32Z milde $
# Author: Dave Kuhlman <dkuhlman@rexx.com>
# Copyright: This module has been placed in the public domain.
"""
Fix a word-processor-generated styles.odt for odtwriter use: Drop page size
specifications from styles.xml in STYLE_FILE.odt.
"""
# Author: Michael Schutte <michi@uiae.at>
from __future__ import print_function
from lxml import etree
import sys
import zipfile
from tempfile import mkstemp
import shutil
import os
NAMESPACES = {
"style": "urn:oasis:names:tc:opendocument:xmlns:style:1.0",
"fo": "urn:oasis:names:tc:opendocument:xmlns:xsl-fo-compatible:1.0"
}
def prepstyle(filename):
zin = zipfile.ZipFile(filename)
styles = zin.read("styles.xml")
root = etree.fromstring(styles)
for el in root.xpath("//style:page-layout-properties",
namespaces=NAMESPACES):
for attr in el.attrib:
if attr.startswith("{%s}" % NAMESPACES["fo"]):
del el.attrib[attr]
tempname = mkstemp()
zout = zipfile.ZipFile(os.fdopen(tempname[0], "w"), "w",
zipfile.ZIP_DEFLATED)
for item in zin.infolist():
if item.filename == "styles.xml":
zout.writestr(item, etree.tostring(root))
else:
zout.writestr(item, zin.read(item.filename))
zout.close()
zin.close()
shutil.move(tempname[1], filename)
def main():
args = sys.argv[1:]
if len(args) != 1:
print(__doc__, file=sys.stderr)
print("Usage: %s STYLE_FILE.odt\n" % sys.argv[0], file=sys.stderr)
sys.exit(1)
filename = args[0]
prepstyle(filename)
if __name__ == '__main__':
main()
| [
"37270113+DavidG33k@users.noreply.github.com"
] | 37270113+DavidG33k@users.noreply.github.com |
a8b91d81f59792d3e00a09a34b0fe6942174e581 | a0a8fbda5657169ad180ae7008a505caff500182 | /courses/admin.py | 8e17ab02c432207b3c3e296d96d3896576f94f59 | [] | no_license | WellingtonIdeao/educa-learning | 4e32d88c741dd7e2fbe45a4194c0ee1970697ca0 | 393c4849e59ee7533e7048d75b42aea2e3e64121 | refs/heads/main | 2023-06-26T04:29:50.741232 | 2021-07-24T18:13:28 | 2021-07-24T18:13:28 | 386,041,014 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 656 | py | from django.contrib import admin
from .models import Subject, Course, Module
# use memcache admin index site
admin.site.index_template = 'memcache_status/admin_index.html'
@admin.register(Subject)
class SubjectAdmin(admin.ModelAdmin):
list_display = ('title', 'slug')
prepopulated_fields = {'slug': ('title',)}
class ModuleInline(admin.StackedInline):
model = Module
@admin.register(Course)
class CourseAdmin(admin.ModelAdmin):
list_display = ('title', 'subject', 'created')
list_filter = ('created', 'subject')
search_fields = ('title', 'overview')
prepopulated_fields = {'slug': ('title',)}
inlines = [ModuleInline] | [
"wellington.ideao@gmail.com"
] | wellington.ideao@gmail.com |
5161897e594221d7ca3d597d73684df6937d8c2e | fbfdd99757f5981e93074ac67d5acfee3d7e9bd7 | /todo_api/views/test.py | 24ad2bacfe0ba295d777dfb7ca45da05fd84e351 | [] | no_license | kuihTalam/django-blog | 745435fa1fe7436e04f71f534d9560e6a5aa21be | 33234f602d32342386ad3e49bf8b7251acc27796 | refs/heads/master | 2021-01-23T02:40:27.729972 | 2017-09-06T02:36:13 | 2017-09-06T02:36:13 | 102,441,593 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 143 | py | from django.http import HttpResponse
def test_view(request):
html = "<html><body>Hello, World</body></html>"
return HttpResponse(html) | [
"talamkuih@gmail.com"
] | talamkuih@gmail.com |
edc85322d46ee344788712c6051ad5c5a397f1bf | 03f9b8bdea312636afb4df3737b55cb0cc4b21ff | /AddTwoNumbers.py | 7895bccd673b9da3b411d758be1b46902a6bbfaa | [] | no_license | ellinx/LC-python | f29dd17bbe15407ba0d06ad68386efdc9a343b56 | 9190d3d178f1733aa226973757ee7e045b7bab00 | refs/heads/master | 2021-06-01T15:21:24.379811 | 2020-10-29T04:37:07 | 2020-10-29T04:37:07 | 132,704,788 | 1 | 1 | null | 2019-05-15T03:26:11 | 2018-05-09T05:13:26 | Python | UTF-8 | Python | false | false | 1,404 | py | """
You are given two non-empty linked lists representing two non-negative integers.
The digits are stored in reverse order and each of their nodes contain a single digit.
Add the two numbers and return it as a linked list.
You may assume the two numbers do not contain any leading zero, except the number 0 itself.
Example:
Input: (2 -> 4 -> 3) + (5 -> 6 -> 4)
Output: 7 -> 0 -> 8
Explanation: 342 + 465 = 807.
"""
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution:
def addTwoNumbers(self, l1, l2):
"""
:type l1: ListNode
:type l2: ListNode
:rtype: ListNode
"""
dummy = ListNode(0)
cur = dummy
c = 0
while l1 is not None and l2 is not None:
s = l1.val+l2.val+c
c = s//10
s %= 10
cur.next = ListNode(s)
cur, l1, l2 = cur.next, l1.next, l2.next
while l1 is not None:
s = l1.val+c
c = s//10
s %= 10
cur.next = ListNode(s)
cur, l1 = cur.next, l1.next
while l2 is not None:
s = l2.val+c
c = s//10
s %= 10
cur.next = ListNode(s)
cur, l2 = cur.next, l2.next
if c>0:
cur.next = ListNode(c)
return dummy.next
| [
"ellin.xll@gmail.com"
] | ellin.xll@gmail.com |
646f2d8cf3af8d4fc0311f549ceb060c55a67205 | d5d3a321ee13db9f8bc6eec7d0a6372bc1027eb1 | /recipes/libsndfile/all/test_package/conanfile.py | 6adfe2d570be6cdb793bd5b5c7ba82f1a7e6f06c | [
"MIT"
] | permissive | datalogics/conan-center-index | 8835770e18f7f51f25a5a0443085d7fae4714891 | 9d38333b1fe1590e6ac1db929979348434ea9f3d | refs/heads/develop | 2021-12-09T14:46:12.452893 | 2021-11-15T21:09:43 | 2021-11-15T21:09:43 | 212,201,140 | 0 | 3 | MIT | 2021-05-26T15:14:48 | 2019-10-01T21:16:31 | Python | UTF-8 | Python | false | false | 464 | py | import os
from conans import ConanFile, CMake, tools
class LibsndfileTestConan(ConanFile):
settings = "os", "compiler", "build_type", "arch"
generators = "cmake", "cmake_find_package"
def build(self):
cmake = CMake(self)
cmake.configure()
cmake.build()
def test(self):
if not tools.cross_building(self):
bin_path = os.path.join("bin", "example")
self.run(bin_path, run_environment=True)
| [
"noreply@github.com"
] | noreply@github.com |
900fbf0db76c5448cde1af59a49eaad0854051d5 | c7663b9ca3ccbef97e311408b18aca7630fd3d9d | /src/python/a.py | e630a6dcb60d8f696d2a104d790ec4bfd1d11931 | [] | no_license | majkl99/programming_examples | 8b5e1857491001129d944beabaa60442f84c95a0 | cca5971eb507485b47cf7e44b28e203a276184b3 | refs/heads/master | 2020-06-01T19:42:41.824314 | 2013-07-12T17:10:02 | 2013-07-12T17:10:02 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 27 | py | def f():
return 1
f()
| [
"abc@gmail.com"
] | abc@gmail.com |
b5dd54185cc609c08d906cd8d369d03b63246693 | 74d9459a66186dba09e87b296deafa50513025a5 | /ServerBattle/fight/corehero/heroconf.py | 594c285d20c62dbcc43887a97078788cb5601659 | [] | no_license | taojin526/KingsPro | 91e2b7954bc342e292e3662bf77c6953432dde3f | 99f74d2517c34f937ae3da60aa53b37d40768929 | refs/heads/master | 2021-06-28T06:46:49.841582 | 2021-03-05T07:34:04 | 2021-03-05T07:34:04 | 66,212,462 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,783 | py | from enum import Enum
class HeroState(Enum):
"""英雄状态枚举"""
Init = 0 # 无
Fight = 1 # 出战
Watch = 2 # 待战
NorAtk = 3 # 普攻攻击
ChiefAtk = 4 # 主技能攻击
AidAtk = 5 # 援助攻击
Dead = 6 # 死亡
TRANSHERO = [
{
"trigger":
"showfight",
"source": [
HeroState.Watch, HeroState.Fight, HeroState.NorAtk,
HeroState.ChiefAtk
],
"dest":
HeroState.Fight,
"before":
"showfightbefore",
"after":
"showfightafter"
},
{
"trigger": "showwatch",
"source": [HeroState.Init, HeroState.AidAtk],
"dest": HeroState.Watch,
"before": "showwatchbefore",
"after": "showwatchafter"
},
{
"trigger": "shownormal",
"source": [HeroState.Fight, HeroState.NorAtk],
"dest": HeroState.NorAtk,
"before": "shownormalbefore",
"after": "shownormalafter"
},
{
"trigger": "showchief",
"source": [HeroState.Fight, HeroState.NorAtk, HeroState.ChiefAtk],
"dest": HeroState.ChiefAtk,
"before": "showchiefbefore",
"after": "showchiefafter"
},
{
"trigger": "showaid",
"source": HeroState.Watch,
"dest": HeroState.AidAtk,
"before": "showaidbefore",
"after": "showaidafter"
},
{
"trigger":
"showdead",
"source": [
HeroState.Fight, HeroState.NorAtk, HeroState.ChiefAtk,
HeroState.AidAtk
],
"dest":
HeroState.Dead,
"before":
"showdeadbefore",
"after":
"showdeadafter"
},
]
| [
"598569835@qq.com"
] | 598569835@qq.com |
8b34bc1e8dd03cd34cb5b8d1adc629cdc9f628c6 | b7b2f80ab5e1ee0ea028576e3014b62b8d3a8d7e | /pyserv/pyserv-010/pycli_enc.py | 4a49b1d65c35c16af0fadd3f6430ecdc0b665737 | [] | no_license | pglen/pgpygtk | 4d1405478a714f003984cf3e3db04ff1f767470b | 33f58010e304f1a312f2356de453ecedb7aa21ef | refs/heads/master | 2021-01-22T01:18:52.238415 | 2019-01-01T01:37:24 | 2019-01-01T01:37:24 | 102,215,955 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,291 | py | #!/usr/bin/env python
# ------------------------------------------------------------------------
# Test client for the pyserv project. Encrypt test.
import os, sys, getopt, signal, select, socket, time, struct
import random, stat
import pyserv.pydata, pyserv.pyservsup, pyserv.pycrypt
from pyserv.pyclisup import *
# ------------------------------------------------------------------------
# Globals
version = 1.0
# ------------------------------------------------------------------------
# Functions from command line
def phelp():
print
print "Usage: " + os.path.basename(sys.argv[0]) + " [options]"
print
print "Options: -d level - Debug level 0-10"
print " -p port - Port to use (default: 9999)"
print " -v - Verbose"
print " -q - Quiet"
print " -h - Help"
print
sys.exit(0)
def pversion():
print os.path.basename(sys.argv[0]), "Version", version
sys.exit(0)
# option, var_name, initial_val, function
optarr = \
["d:", "pgdebug", 0, None], \
["p:", "port", 9999, None], \
["v", "verbose", 0, None], \
["q", "quiet", 0, None], \
["t", "test", "x", None], \
["V", None, None, pversion], \
["h", None, None, phelp] \
conf = Config(optarr)
# ------------------------------------------------------------------------
if __name__ == '__main__':
args = conf.comline(sys.argv[1:])
if len(args) == 0:
ip = '127.0.0.1'
else:
ip = args[0]
s1 = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
init_handler(s1)
try:
s1.connect((ip, conf.port))
except:
print "Cannot connect to:", ip + ":" + str(conf.port), sys.exc_info()[1]
sys.exit(1)
client(s1, "ver", conf.verbose)
client(s1, "user peter", conf.verbose)
client(s1, "pass 1234", conf.verbose)
xkey = "" #"1234"
#client(s1, "ekey " + xkey, conf.verbose)
client(s1, "ver ", conf.verbose, xkey)
client(s1, "ekey ", conf.verbose, xkey)
xkey = ""
client(s1, "ver ", conf.verbose, xkey)
client(s1, "quit", conf.verbose, xkey)
s1.close();
sys.exit(0)
| [
"peterglen99@gmail.com"
] | peterglen99@gmail.com |
8b8584c394b5ebcd4efb0afb7c8ceabaa4ef5b52 | d3edc5b77195090066d8aaf066db47dc79e01d52 | /geeklords/api/migrations/0001_initial.py | 6b5ad0881b21267d94643d20d61e2669b2392bc4 | [] | no_license | Mohammed-Abdul-Hameed-Aqib/imagine-backend-final | a313195e0086c5a9fce7ebf299ba22ccb0bf972b | 1d096472989d6cc820475279d66aed1d2dddc87d | refs/heads/main | 2023-07-16T10:12:00.751104 | 2021-08-22T10:10:30 | 2021-08-22T10:10:30 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,008 | py | # Generated by Django 3.2.6 on 2021-08-22 09:04
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Human',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=60)),
('contact', models.CharField(max_length=60)),
('college', models.CharField(max_length=60)),
('year', models.CharField(choices=[('1', '1st Year'), ('2', '2nd Year'), ('3', '3rd Year'), ('4', '4th Year'), ('P', 'Passout')], max_length=1)),
('branch', models.CharField(choices=[('CSE', 'CSE'), ('IT', 'IT'), ('AI/DS', 'AI/DS'), ('ECE', 'ECE'), ('MECH', 'MECH'), ('CIVIL', 'CIVIL'), ('EEE', 'EEE')], max_length=5)),
('nlp', models.TextField()),
],
),
]
| [
"54206941+AbdulBaseerMohammedKhan@users.noreply.github.com"
] | 54206941+AbdulBaseerMohammedKhan@users.noreply.github.com |
84c46c8f676e758afa2be3836dc6ef67bef070ed | c67123ff7f6e535c0fba759e517d320d7819359e | /day-5/modules/mean-example/import_style.py | 3f1fbd875d26a770ee5d1e72a3b5d12174a6f531 | [
"MIT"
] | permissive | KDD-OpenSource/geox-young-academy | e2751652041aea290d83e0d7c17b0c9e450c4ed9 | ffa35f41d0032dcf7a9dfb9b2939402f83e9dcc2 | refs/heads/master | 2022-06-22T06:05:31.634759 | 2017-10-17T16:04:11 | 2017-10-17T16:04:21 | 105,241,878 | 1 | 6 | MIT | 2022-06-17T21:21:30 | 2017-09-29T07:15:39 | Jupyter Notebook | UTF-8 | Python | false | false | 192 | py | import mean # use the module
mean.hello
# use name from module
# show that, short form for
# mean.hello() is now hello()
from mean import hello
# the same as
hello = __import__("mean").hello
| [
"niccokunzmann@rambler.ru"
] | niccokunzmann@rambler.ru |
e19fd71f8bc613cfcb0a5e9b001063477d7d5c75 | f460a91a732dc87743b1ffb71a93fac681019be1 | /dry-dock/lib/exception/unsupported_config_error.py | 0463ed5042e69074e35eada6419fdcbcd01e9e24 | [] | no_license | arueth/dry-dock-python | fff4b07c4a5a43b0a0d75f318dc8433f00c4517a | c7c259b9379dd38ce781463df3cd22023e3f5bae | refs/heads/master | 2020-03-17T11:22:43.771060 | 2018-05-29T19:36:07 | 2018-05-29T19:36:07 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 50 | py | class UnsupportedConfigError(Exception):
pass | [
"arueth@gmail.com"
] | arueth@gmail.com |
2ef741e0137d4c3627a81eea5346801b122a223f | 81efbc0649072e5b345f693ee82d1cd03d7f659a | /Widgets/deckInput.py | 835989f203b58d02af32adfa11afd98787884f66 | [
"MIT"
] | permissive | feelool007/Lotto1224 | a753d67e5111df8751599af7cdc774ba44539a58 | fd360fad7260fd9022c8f71d6f48a79f59266b72 | refs/heads/master | 2020-05-01T00:30:24.826265 | 2019-05-20T15:18:27 | 2019-05-20T15:18:27 | 177,169,518 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 678 | py | import wx
try:
from .deck import DECK
except ImportError:
DECK = []
class DeckInput(wx.Panel):
def __init__(self, parent):
super(DeckInput, self).__init__(parent)
self.setupUi()
def getValue(self):
return self.input.GetValue().split(",")
def setupUi(self):
self.input = wx.TextCtrl(self)
self.input.SetValue(",".join(DECK))
self.input.SetMaxSize((350, -1))
self.go = wx.Button(self, wx.ID_EXECUTE, "對獎")
self.hbox = wx.BoxSizer(wx.HORIZONTAL)
self.hbox.Add(self.input, 4, flag=wx.EXPAND | wx.RIGHT, border=10)
self.hbox.Add(self.go, 0)
self.SetSizer(self.hbox) | [
"feelool007@gmail.com"
] | feelool007@gmail.com |
b5858ef94707b3015ff7999b47802269901b5183 | 03f2263a7872bd7b4bbc790f6bd40fe4bc40546d | /env_facial_recognition_v1/lib/python3.6/_weakrefset.py | 9ba6e7702f3b57958ac7b189367869ac76a73f64 | [] | no_license | tanlull/facial_recognition_v1 | b17715d506b22f6807fecad5d423506f876efcf4 | 214684ea7df95a8d8b3b15e9873220335b7d8520 | refs/heads/master | 2020-07-19T19:11:09.640314 | 2019-09-21T16:16:08 | 2019-09-21T16:16:08 | 206,497,312 | 0 | 0 | null | 2019-09-05T07:03:24 | 2019-09-05T07:03:24 | null | UTF-8 | Python | false | false | 53 | py | /Users/Anthony/anaconda3/lib/python3.6/_weakrefset.py | [
"amornpan@gmail.com"
] | amornpan@gmail.com |
4ad0adfc4b6b273371990c914b932152d1e92b5b | 47ac1752b06cec752bb7d848596edd35cf01668a | /AmazonDownload/config.py | 570c3704baf535c21467c984555598ae97c8806c | [] | no_license | zonectmac/Amazon_python | ceecdea3452590e1882fb59f32c356a4b14d980a | 2373d44ec207be93486cac3a6b24522eefbdb2ab | refs/heads/master | 2021-01-22T04:27:45.694777 | 2017-05-26T02:33:50 | 2017-05-26T02:33:50 | 92,464,128 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 469 | py | from get_config import get_downLoadPath, get_downLoadTemporaryPath, get_base_url, get_downLoadPathFinal, get_ff_profiles
TIMEOUT = 30
CONFIG = 'config.txt'
EMAIL_CONTENT = 'emailContent.txt'
MONTHLY_TRANSACTION = 'MonthlyTransaction'
MONTHLY_SUMMARY = 'MonthlySummary'
DOWNLOAD_TEMPORARY_PATH = get_downLoadTemporaryPath()
DOWNLOAD_PATH = get_downLoadPath()
DOWNLOAD_PATH_FINAL = get_downLoadPathFinal()
LOGIN_BASE_URL = get_base_url()
FF_PROFILES = get_ff_profiles()
| [
"zone_c@qq.com"
] | zone_c@qq.com |
2fd1e687f5a7bc082be9f5285ed52db96156213b | 3f53494ff6a29fd355275ae80eb601974ae527fa | /linked-lists/partition.py | c10273993440988bc82ad5f2780259ddac1bb825 | [] | no_license | t0ri-make-school-coursework/cracking-the-coding-interview | 7af1de190833acf45a58f31f901617a84e56f170 | ca4af5d9793f7570fe0f9a56da89246b8604d646 | refs/heads/master | 2022-11-19T06:43:52.185139 | 2020-07-20T18:38:10 | 2020-07-20T18:38:10 | 268,890,041 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,170 | py | from LinkedList import LinkedList
from Node import Node
# 2.4
# Partition
# Write code to partition a linked list around a
# value target,such that all nodes less than target
# come before all nodes greater than or equal to target.
def partition_llist(ll, target):
high_nodes = [Node('partition')]
node = ll.head
while node.next is not None:
if ll.head.data >= target:
high_nodes.append(ll.head)
ll.head = node.next
if node.next.data >= target:
high_nodes.append(node.next)
node.next = node.next.next
else:
node = node.next
for high_node in high_nodes:
high_node.next = None
node.next = high_node
node = node.next
return ll
if __name__ == "__main__":
llist = LinkedList()
node1 = Node(6)
node2 = Node(2)
node1.next = node2
node3 = Node(4)
node2.next = node3
node4 = Node(5)
node3.next = node4
node5 = Node(1)
node4.next = node5
node6 = Node(3)
node5.next = node6
llist.head = node1
llist = partition_llist(llist, 4)
llist.print_list()
print('llist', partition_llist(llist, 4)) | [
"victoriarosemurray@gmail.com"
] | victoriarosemurray@gmail.com |
997b98b06f6898a2b4149eddc69abfdbdd7dd12e | c9285fbcaf2292593c0ec04a0fcdb049e792876c | /cmake-build-debug/sincronizzazione/catkin_generated/pkg.installspace.context.pc.py | 530cea43be500b76119dca3c36b0e265ff925f14 | [] | no_license | theLorenzo/src | 89d20ea5f050af747b70d2fc978ec1e0c5bf3225 | 4d9e132c79a7c86a8804740e8c2a9bb75da815a9 | refs/heads/main | 2023-04-20T22:54:26.214857 | 2021-05-14T19:48:11 | 2021-05-14T19:48:11 | 363,413,553 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 411 | py | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "".split(';') if "" != "" else []
PROJECT_CATKIN_DEPENDS = "geometry_msgs;message_filters;robotics_hw1;std_msgs".replace(';', ' ')
PKG_CONFIG_LIBRARIES_WITH_PREFIX = "".split(';') if "" != "" else []
PROJECT_NAME = "sincronizzazione"
PROJECT_SPACE_DIR = "/usr/local"
PROJECT_VERSION = "0.0.0"
| [
"lorenzo2.cassani@mail.polimi.it"
] | lorenzo2.cassani@mail.polimi.it |
aec97231b9dc9a59551633f64e3f43e18ac192dd | ae0ef01cbbaf667d976f777545d5581c01a47335 | /smart_config/__init__.py | 9f30348d972ca22a7d5181f38374bc3cbc0beeff | [
"MIT"
] | permissive | sfahad1414/smart_config | fe1bdfa947bbc8e52c2f29891175a63c28970008 | 02968c25e44e109a62e9201fa0f68590a2a61215 | refs/heads/master | 2022-11-18T15:11:12.066167 | 2020-07-22T15:20:00 | 2020-07-22T15:20:00 | 281,670,973 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 52 | py | from .smart_config import ConfigLoader, __version__
| [
"fshaikh@digite.com"
] | fshaikh@digite.com |
412ad642b07ca84582c7748a2e8b13e99c2f6856 | e04cecc9a2e7e6980a2eb19628209c4a801b21ad | /lib/model/Reinforcement/resnet.py | 9ed67e0fef633af260c1e51597f916d6d715e153 | [
"MIT"
] | permissive | jbr97/RLObjectDetection | 2715a7009b531f9137d8bb01312afb1cbf218326 | 1dc8559bed3647fb6c9379f6e55d0e535037a2fd | refs/heads/master | 2021-09-18T14:39:14.080270 | 2018-05-03T09:58:28 | 2018-05-03T09:58:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,178 | py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from model.roi_align.modules.roi_align import RoIAlignAvg
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
import math
import torch.utils.model_zoo as model_zoo
import pdb
__all__ = ['ResNet', 'resnet18', 'resnet34', 'resnet50', 'resnet101',
'resnet152']
model_urls = {
'resnet18': 'https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth',
'resnet34': 'https://s3.amazonaws.com/pytorch/models/resnet34-333f7ec4.pth',
'resnet50': 'https://s3.amazonaws.com/pytorch/models/resnet50-19c8e357.pth',
'resnet101': 'https://s3.amazonaws.com/pytorch/models/resnet101-5d3b4d8f.pth',
'resnet152': 'https://s3.amazonaws.com/pytorch/models/resnet152-b121ed2d.pth',
}
def conv3x3(in_planes, out_planes, stride=1):
"3x3 convolution with padding"
return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride,
padding=1, bias=False)
class BasicBlock(nn.Module):
expansion = 1
def __init__(self, inplanes, planes, stride=1, downsample=None):
super(BasicBlock, self).__init__()
self.conv1 = conv3x3(inplanes, planes, stride)
self.bn1 = nn.BatchNorm2d(planes)
self.relu = nn.ReLU(inplace=True)
self.conv2 = conv3x3(planes, planes)
self.bn2 = nn.BatchNorm2d(planes)
self.downsample = downsample
self.stride = stride
def forward(self, x):
residual = x
out = self.conv1(x)
out = self.bn1(out)
out = self.relu(out)
out = self.conv2(out)
out = self.bn2(out)
if self.downsample is not None:
residual = self.downsample(x)
out += residual
out = self.relu(out)
return out
class Bottleneck(nn.Module):
expansion = 4
def __init__(self, inplanes, planes, stride=1, downsample=None):
super(Bottleneck, self).__init__()
self.conv1 = nn.Conv2d(inplanes, planes, kernel_size=1, stride=stride, bias=False) # change
self.bn1 = nn.BatchNorm2d(planes)
self.conv2 = nn.Conv2d(planes, planes, kernel_size=3, stride=1, # change
padding=1, bias=False)
self.bn2 = nn.BatchNorm2d(planes)
self.conv3 = nn.Conv2d(planes, planes * 4, kernel_size=1, bias=False)
self.bn3 = nn.BatchNorm2d(planes * 4)
self.relu = nn.ReLU(inplace=True)
self.downsample = downsample
self.stride = stride
def forward(self, x):
residual = x
out = self.conv1(x)
out = self.bn1(out)
out = self.relu(out)
out = self.conv2(out)
out = self.bn2(out)
out = self.relu(out)
out = self.conv3(out)
out = self.bn3(out)
if self.downsample is not None:
residual = self.downsample(x)
out += residual
out = self.relu(out)
return out
class ResNet(nn.Module):
def __init__(self, block, layers, num_acts=1):
self.inplanes = 64
self.num_acts = num_acts
super(ResNet, self).__init__()
self.conv1 = nn.Conv2d(3, 64, kernel_size=7, stride=2, padding=3,
bias=False)
self.bn1 = nn.BatchNorm2d(64)
self.relu = nn.ReLU(inplace=True)
self.maxpool = nn.MaxPool2d(kernel_size=3, stride=2, padding=0, ceil_mode=True) # change
self.layer1 = self._make_layer(block, 64, layers[0])
self.layer2 = self._make_layer(block, 128, layers[1], stride=2)
self.layer3 = self._make_layer(block, 256, layers[2], stride=2)
# self.layer4 = self._make_layer(block, 512, layers[3], stride=2)
# it is slightly better whereas slower to set stride = 1
self.layer4 = self._make_layer(block, 512, layers[3], stride=1)
self.RCNN_roi_align = RoIAlignAvg(7, 7, 1.0 / 16.0)
self.fc8 = nn.Linear(2048, 4096)
self.fc = nn.Linear(4096, self.num_acts)
for m in self.modules():
if isinstance(m, nn.Conv2d):
n = m.kernel_size[0] * m.kernel_size[1] * m.out_channels
m.weight.data.normal_(0, math.sqrt(2. / n))
elif isinstance(m, nn.BatchNorm2d):
m.weight.data.fill_(1)
m.bias.data.zero_()
elif isinstance(m, nn.Linear):
#m.weight.data.zero_()
m.bias.data.zero_()
m.weight.data.normal_(0, 0.01)
def freeze_layer(self):
self._freeze_module(self.conv1)
self._freeze_module(self.bn1)
for layer in [self.layer1, self.layer2, self.layer3]:
self._freeze_module(layer)
def _freeze_module(self, module):
for p in module.parameters():
p.requires_grad = False
def _make_layer(self, block, planes, blocks, stride=1):
downsample = None
if stride != 1 or self.inplanes != planes * block.expansion:
downsample = nn.Sequential(
nn.Conv2d(self.inplanes, planes * block.expansion,
kernel_size=1, stride=stride, bias=False),
nn.BatchNorm2d(planes * block.expansion),
)
layers = []
layers.append(block(self.inplanes, planes, stride, downsample))
self.inplanes = planes * block.expansion
for i in range(1, blocks):
layers.append(block(self.inplanes, planes))
return nn.Sequential(*layers)
def forward(self, img, bboxes, targets, weights):
bboxes = bboxes.view(-1, 5)
targets = targets.view(-1, self.num_acts)
weights = weights.view(-1, self.num_acts)
x = self.conv1(img)
x = self.bn1(x)
x = self.relu(x)
x = self.maxpool(x)
x = self.layer1(x)
x = self.layer2(x)
x = self.layer3(x)
roi_feat = self.RCNN_roi_align(x, bboxes)
# head to tail
pooled_feat = self.layer4(roi_feat)
# avg pool
pooled_feat = pooled_feat.mean(3)
pooled_feat = pooled_feat.mean(2)
x = self.fc8(pooled_feat)
x = self.relu(x)
pred = self.fc(x)
loss, noweight_loss = self._weighted_mse_loss(pred, targets, weights)
return pred, loss, noweight_loss
def _weighted_mse_loss(self, inp, targets, weights):
# TODO move this function
noweight_loss = (inp - targets) ** 2
loss = noweight_loss * (weights.expand_as(noweight_loss))
return loss.mean(), noweight_loss.mean()
def resnet18(pretrained=False):
"""Constructs a ResNet-18 model.
Args:
pretrained (bool): If True, returns a model pre-trained on ImageNet
"""
model = ResNet(BasicBlock, [2, 2, 2, 2])
if pretrained:
model.load_state_dict(model_zoo.load_url(model_urls['resnet18']))
return model
def resnet34(pretrained=False):
"""Constructs a ResNet-34 model.
Args:
pretrained (bool): If True, returns a model pre-trained on ImageNet
"""
model = ResNet(BasicBlock, [3, 4, 6, 3])
if pretrained:
model.load_state_dict(model_zoo.load_url(model_urls['resnet34']))
return model
def resnet50(pretrained=False):
"""Constructs a ResNet-50 model.
Args:
pretrained (bool): If True, returns a model pre-trained on ImageNet
"""
model = ResNet(Bottleneck, [3, 4, 6, 3])
if pretrained:
model.load_state_dict(model_zoo.load_url(model_urls['resnet50']))
return model
def resnet101(pretrained=False, num_acts=1):
"""Constructs a ResNet-101 model.
Args:
pretrained (bool): If True, returns a model pre-trained on ImageNet
"""
model = ResNet(Bottleneck, [3, 4, 23, 3], num_acts=num_acts)
if pretrained:
model.load_state_dict(model_zoo.load_url(model_urls['resnet101']))
return model
def resnet152(pretrained=False):
"""Constructs a ResNet-152 model.
Args:
pretrained (bool): If True, returns a model pre-trained on ImageNet
"""
model = ResNet(Bottleneck, [3, 8, 36, 3])
if pretrained:
model.load_state_dict(model_zoo.load_url(model_urls['resnet152']))
return model
| [
"joishbader@gmail.com"
] | joishbader@gmail.com |
e3f4668e2d1dbcdfce12eb1dee516bdff72f216d | fd183e0a98aa81aaa4934abfc6952cddd5103f57 | /s3_upload_client.py | 1b94b343b51920bea529b5f43b88916b01517d86 | [] | no_license | bhavanasudharshan/fileshareapp | dd8850db1980fba3b4dbafd20a06a8075d361082 | 8a0cbdcfd8e3413d1e47fa84283403a5ade3ea0a | refs/heads/master | 2022-11-26T18:48:05.842644 | 2020-08-11T21:12:20 | 2020-08-11T21:12:20 | 269,196,090 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,316 | py | import requests
import boto3
from requests_aws4auth import AWS4Auth
# b'<?xml version="1.0" encoding="UTF-8"?>\n<InitiateMultipartUploadResult xmlns="http://s3.amazonaws.com/doc/2006-03-01/"><Bucket>file-share-test</Bucket><Key>example-object</Key><UploadId>PbcBo5wRAWaP9fWKIS3aOfYpds1Ezk6dkhBc5D5zmrCnq0jJrdBqPIr_LaorvWP.pX361YEgHvRwB5kAhfRN0tmbFsKhHXtc4fKPQ9XwIZ8sBiPpt9x_dyXigU4bMEql</UploadId></InitiateMultipartUploadResult>'
# {'x-amz-id-2': '8l3FcsjbxQDWfaxmTirYKugBGxdzS9AOBzMRkrmvL+50TFlYv1eK5WwSdDq7Y0guoeMbezsmJY0=', 'x-amz-request-id': 'AFAD35FBDFBFE442', 'Date': 'Fri, 03 Jul 2020 22:06:40 GMT', 'Transfer-Encoding': 'chunked', 'Server': 'AmazonS3'}
# host = 'file-share-test.s3-us-west-2.amazonaws.com' # For example, my-test-domain.us-east-1.es.amazonaws.com
region = 'us-west-2' # e.g. us-west-1
service = 's3'
credentials = boto3.Session().get_credentials()
auth=AWS4Auth(credentials.access_key, credentials.secret_key, region, service, session_token=credentials.token)
# response = requests.post("https://file-share-test.s3-us-west-2.amazonaws.com/example-object?uploads", auth=auth)
# response=requests.put("http://file-share-test.s3-us-west-2.amazonaws.com/example-object?partNumber=1&uploadId=PbcBo5wRAWaP9fWKIS3aOfYpds1Ezk6dkhBc5D5zmrCnq0jJrdBqPIr_LaorvWP.pX361YEgHvRwB5kAhfRN0tmbFsKhHXtc4fKPQ9XwIZ8sBiPpt9x_dyXigU4bMEql",auth=auth,data={"hi":"bye"})
# print(response.status_code)
#
# response=requests.put("http://file-share-test.s3-us-west-2.amazonaws.com/example-object?partNumber=2&uploadId=PbcBo5wRAWaP9fWKIS3aOfYpds1Ezk6dkhBc5D5zmrCnq0jJrdBqPIr_LaorvWP.pX361YEgHvRwB5kAhfRN0tmbFsKhHXtc4fKPQ9XwIZ8sBiPpt9x_dyXigU4bMEql",auth=auth,data={"d":"end"})
# print(response.status_code)
# response=requests.get("http://file-share-test.s3-us-west-2.amazonaws.com/example-object?MaxParts=3&PartNumberMarker=1&uploadId=PbcBo5wRAWaP9fWKIS3aOfYpds1Ezk6dkhBc5D5zmrCnq0jJrdBqPIr_LaorvWP.pX361YEgHvRwB5kAhfRN0tmbFsKhHXtc4fKPQ9XwIZ8sBiPpt9x_dyXigU4bMEql",auth=auth)
# print(response.content)
x='<?xml version="1.0" encoding="UTF-8"?><CompleteMultipartUpload xmlns="http://s3.amazonaws.com/doc/2006-03-01/"><Part><ETag>"cbf77c9ded075b0afff9ff00a6bae14e"</ETag><PartNumber>1</PartNumber></Part><Part><ETag>"094b1c8d3d5cdbeb393dd2027e714f1a"</ETag><PartNumber>2</PartNumber></Part></CompleteMultipartUpload>'
headers={'Content-Type':"application/xml"}
# response=requests.post("http://file-share-test.s3-us-west-2.amazonaws.com/example-object?uploadId=PbcBo5wRAWaP9fWKIS3aOfYpds1Ezk6dkhBc5D5zmrCnq0jJrdBqPIr_LaorvWP.pX361YEgHvRwB5kAhfRN0tmbFsKhHXtc4fKPQ9XwIZ8sBiPpt9x_dyXigU4bMEql",data=dict(CompleteMultipartUpload='<?xml version="1.0" encoding="UTF-8"?><CompleteMultipartUpload xmlns="http://s3.amazonaws.com/doc/2006-03-01/"><Part><PartNumber>1</PartNumber><Etag>"cbf77c9ded075b0afff9ff00a6bae14e"</Etag></Part><Part><PartNumber>2</PartNumber><Etag>"094b1c8d3d5cdbeb393dd2027e714f1a"</Etag></Part></CompleteMultipartUpload>'),headers=headers)
# print(response.status_code)
response=requests.post("http://file-share-test.s3-us-west-2.amazonaws.com/example-object?uploadId=PbcBo5wRAWaP9fWKIS3aOfYpds1Ezk6dkhBc5D5zmrCnq0jJrdBqPIr_LaorvWP.pX361YEgHvRwB5kAhfRN0tmbFsKhHXtc4fKPQ9XwIZ8sBiPpt9x_dyXigU4bMEql",data=dict(CompleteMultipartUpload=x),headers=headers,auth=auth)
print(response.status_code) | [
"bsudharshan@Bharaths-MacBook-Pro-2.local"
] | bsudharshan@Bharaths-MacBook-Pro-2.local |
993b55cf442fc0618a8f796996a6f375fa367cb1 | 63aa87ddc8f02aba98ee05cd0a40de1870cee629 | /venv/bin/easy_install | 90f8382dd18d691b98a1f276f7002e38b12b9d7f | [] | no_license | megaMind432/Ethical | cda9b208c8a32edef980e5c18c225526c5e1160e | 9683814af89fedc079cb615993533cb6f4b4cfe2 | refs/heads/master | 2020-03-31T05:33:20.173091 | 2018-10-07T14:30:51 | 2018-10-07T14:30:51 | 151,950,227 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 440 | #!/home/mehedi/PycharmProjects/Ethical/venv/bin/python
# EASY-INSTALL-ENTRY-SCRIPT: 'setuptools==39.1.0','console_scripts','easy_install'
__requires__ = 'setuptools==39.1.0'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(
load_entry_point('setuptools==39.1.0', 'console_scripts', 'easy_install')()
)
| [
"aamehedi15@gmail.com"
] | aamehedi15@gmail.com | |
6dc565c72880963a1fec4acca397539acff9509e | c2751505ba16edc33675f208b88fd19fb4e1fd51 | /twilio-api.py | 6c1e80dee76d73223f3a9ed88484366fee0dc061 | [
"BSD-3-Clause"
] | permissive | aewens/hackmidwest-2018 | 2615f0e2d52f0c905e727fc89268a2df263e96a6 | 99ba80b5bf1f13496a2c63bacdac8aa8b33db186 | refs/heads/master | 2023-02-22T19:09:04.310177 | 2019-08-22T15:33:07 | 2019-08-22T15:33:07 | 141,827,714 | 0 | 1 | BSD-3-Clause | 2023-02-15T21:39:20 | 2018-07-21T16:11:27 | Python | UTF-8 | Python | false | false | 1,090 | py | #!env/bin/python3
# Download the helper library from https://www.twilio.com/docs/python/install
from twilio.rest import Client
from flask import Flask, request, session
from twilio.twiml.messaging_response import MessagingResponse
# The session object makes use of a secret key.
SECRET_KEY = 'a secret key'
app = Flask(__name__)
app.config.from_object(__name__)
# Your Account Sid and Auth Token from twilio.com/console
account_sid = 'ACe47bb3d689fcd1d09972b615e8efa9ba'
auth_token = '341b11b5f7a97a727b8c71c2fcc09467'
client = Client(account_sid, auth_token)
messages = client.messages.list()
def reverse(message):
return message[::-1]
@app.route("/sms", methods=['GET', 'POST'])
def reply():
sms_sid = request.values.get("SmsSid")
word = client.messages(sms_sid).fetch().body.strip().lower()
if word == 'ready':
message = 'Go'
else:
message = "You did not say 'ready'"
resp = MessagingResponse()
resp.message(reverse(message))
return str(resp)
if __name__ == "__main__":
app.run(debug=True) | [
"garrettewens@live.com"
] | garrettewens@live.com |
0ef7962acd98c3e43506b7f74b2dab2cb2f08dae | 253f04576c37354c0ef03cb1f8ce28a63f3a806a | /test.py | 60e2410e9004876c90922736c79f78c415b4714b | [] | no_license | nonthanadol/opencv | 4554f6209b6c5e8b4797806841a62cc8a30bd1e5 | 1017b373d2ae7a3ac3992c46f868e3ab091682da | refs/heads/master | 2023-07-11T16:58:41.989965 | 2021-08-16T15:07:54 | 2021-08-16T15:07:54 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 26 | py | print('test')
print("123") | [
"thanadol_non@hotmail.com"
] | thanadol_non@hotmail.com |
4605e5316a983e02f5cfe91b8b7ccd314443a77d | 3f02cd5e3b84f9abf1a04fe0aad5440d55da339e | /MainQ1.py | 52b5bf6fe9a22e2ba51a6a773fd38b7ccb07b99b | [] | no_license | printlnHi/NPAProgComp2019 | 5450f601795f054077a320b9e29ff2df26957557 | 3709965fea336311b59a155721585e3d5069733e | refs/heads/master | 2020-06-04T14:28:58.464770 | 2019-06-15T09:49:07 | 2019-06-15T09:49:07 | 192,062,311 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 460 | py | rows = ["abcdefg","hijklmn","opqrstu","vwxyz"]
cols = ["ahov","bipw","cjqx","dkry","elsz","fmt","gnu"]
for topic in open("task1topics.dat").readlines():
topic = topic.strip()
g = 1
for a,b in zip(topic, topic[1:]):
f = 0
for row in rows:
if a in row and b in row:
f = 1
for col in cols:
if a in col and b in col:
f = 1
g = g & f
if g:
print(topic)
| [
"noreply@github.com"
] | noreply@github.com |
c32fd58f6be565c4fcf11d89226363e8aa375440 | 7c15c4de5af8d61fcf855ecb79e0cc5599ad29e7 | /cocktail_backend/cocktail_maker/wsgi.py | b959266ba413ab842210eeed88024a2501cb39e4 | [] | no_license | s-rigaud/cocktail_party_maker | aa799c6868d1da236124aa787c311ec813f42f37 | dc39e3114351c4a4b4d39fd8d1dc2bb6634065fc | refs/heads/master | 2023-02-27T19:54:35.470538 | 2021-01-23T21:07:32 | 2021-01-23T21:07:32 | 303,127,863 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 405 | py | """
WSGI config for cocktail_maker project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "cocktail_maker.settings")
application = get_wsgi_application()
| [
"rigaudsam@gmail.com"
] | rigaudsam@gmail.com |
fb69f66d4fa633491efe9437950e3c49634879ed | ed47fc4aa9570d569125bbedb9f032a7d02e5322 | /anju/middlewares.py | 62d42dc286fab2fe5363503bb0db4c3327c16e23 | [] | no_license | zhouqiang2017/scrapy-anjuke | e25c456a5cf5fa87371d2bb28ce08a97eac329dd | 7d1a2d592b5661df9f5da6380e04f8fe86c2e51d | refs/heads/master | 2020-06-04T18:08:23.725808 | 2019-06-16T03:23:45 | 2019-06-16T03:23:45 | 192,137,731 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,593 | py | # -*- coding: utf-8 -*-
# Define here the models for your spider middleware
#
# See documentation in:
# https://doc.scrapy.org/en/latest/topics/spider-middleware.html
from scrapy import signals
class AnjuSpiderMiddleware(object):
# Not all methods need to be defined. If a method is not defined,
# scrapy acts as if the spider middleware does not modify the
# passed objects.
@classmethod
def from_crawler(cls, crawler):
# This method is used by Scrapy to create your spiders.
s = cls()
crawler.signals.connect(s.spider_opened, signal=signals.spider_opened)
return s
def process_spider_input(self, response, spider):
# Called for each response that goes through the spider
# middleware and into the spider.
# Should return None or raise an exception.
return None
def process_spider_output(self, response, result, spider):
# Called with the results returned from the Spider, after
# it has processed the response.
# Must return an iterable of Request, dict or Item objects.
for i in result:
yield i
def process_spider_exception(self, response, exception, spider):
# Called when a spider or process_spider_input() method
# (from other spider middleware) raises an exception.
# Should return either None or an iterable of Response, dict
# or Item objects.
pass
def process_start_requests(self, start_requests, spider):
# Called with the start requests of the spider, and works
# similarly to the process_spider_output() method, except
# that it doesn’t have a response associated.
# Must return only requests (not items).
for r in start_requests:
yield r
def spider_opened(self, spider):
spider.logger.info('Spider opened: %s' % spider.name)
class AnjuDownloaderMiddleware(object):
# Not all methods need to be defined. If a method is not defined,
# scrapy acts as if the downloader middleware does not modify the
# passed objects.
@classmethod
def from_crawler(cls, crawler):
# This method is used by Scrapy to create your spiders.
s = cls()
crawler.signals.connect(s.spider_opened, signal=signals.spider_opened)
return s
def process_request(self, request, spider):
# Called for each request that goes through the downloader
# middleware.
# Must either:
# - return None: continue processing this request
# - or return a Response object
# - or return a Request object
# - or raise IgnoreRequest: process_exception() methods of
# installed downloader middleware will be called
return None
def process_response(self, request, response, spider):
# Called with the response returned from the downloader.
# Must either;
# - return a Response object
# - return a Request object
# - or raise IgnoreRequest
return response
def process_exception(self, request, exception, spider):
# Called when a download handler or a process_request()
# (from other downloader middleware) raises an exception.
# Must either:
# - return None: continue processing this exception
# - return a Response object: stops process_exception() chain
# - return a Request object: stops process_exception() chain
pass
def spider_opened(self, spider):
spider.logger.info('Spider opened: %s' % spider.name)
| [
"443682811@qq.com"
] | 443682811@qq.com |
38b1a869e426b4bc8380af15bf24a8b106699a48 | c75877f2c277ee148e2a5e1e3d3b95c9b0f21b35 | /PID_CONTROL/controlPID.py | 566976a6c4d9de76407232ee338ab41cbd84eb46 | [] | no_license | chanchey/GarbageBot_2.0 | 8660623bbf053cf75e7c6834a4f76e8eccceac6a | 4d0cd525336a836fecb008e877a0a686f6080891 | refs/heads/master | 2021-04-06T19:31:00.028259 | 2018-11-02T17:14:51 | 2018-11-02T17:14:51 | 125,433,275 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,578 | py | #!/usr/bin/python
import smbus
import math
import time
import RPi.GPIO as GPIO
import sys
import time, sys, tty, termios
from RPi import GPIO
from time import sleep
f = open("TestDisDawg.txt", "w+")
# Encoder variables
encoderA1 = 18
encoderB1 = 15
encoderA2 = 8
encoderB2 = 25
motorDir1 = 0
motorDir2 = 0
# Power management registers
power_mgmt_1 = 0x6b
power_mgmt_2 = 0x6c
bus = smbus.SMBus(1) # or bus = smbus.SMBus(1) for Revision 2 boards
address = 0x68 # This is the address value read via the i2cdetect command
GPIO.setmode(GPIO.BCM)
GPIO.setup(encoderA1, GPIO.IN)
GPIO.setup(encoderB1, GPIO.IN)
GPIO.setup(encoderA2, GPIO.IN)
GPIO.setup(encoderB2, GPIO.IN)
GPIO.add_event_detect(encoderA1, GPIO.RISING)
GPIO.add_event_detect(encoderB1, GPIO.RISING)
GPIO.add_event_detect(encoderA2, GPIO.RISING)
GPIO.add_event_detect(encoderB2, GPIO.RISING)
# Global Variables this will modify
yrot=0
# Scaling Factor to level bot
makeMeLevelY = 9
# Controller Variables
A1 = 6 # M3
A2 = 13 # M4
B1 = 20 # M1
B2 = 21 # M2
D1 = 12 # PWMB
D2 = 26 # PWMA
# set GPIO numbering mode and define output pins
GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)
GPIO.setup(A1, GPIO.OUT)
GPIO.setup(A2, GPIO.OUT)
GPIO.setup(B1, GPIO.OUT)
GPIO.setup(B2, GPIO.OUT)
GPIO.setup(D1, GPIO.OUT)
GPIO.setup(D2, GPIO.OUT)
GPIO.output(A1, False)
GPIO.output(A2, False)
GPIO.output(B1, False)
GPIO.output(B2, False)
motor1 = GPIO.PWM(D1, 2000)
motor2 = GPIO.PWM(D2, 2000)
motor1.start(0)
motor2.start(0)
# Modify
DC = 0.0
def getch():
fd = sys.stdin.fileno()
old_settings = termios.tcgetattr(fd)
try:
tty.setraw(sys.stdin.fileno())
ch = sys.stdin.read(1)
finally:
termios.tcsetattr(fd, termios.TCSADRAIN, old_settings)
return ch
def forward():
GPIO.output(A1, True)
GPIO.output(A2, False)
GPIO.output(B1, False)
GPIO.output(B2, True)
motor1.ChangeDutyCycle(DC)
motor2.ChangeDutyCycle(DC)
def reverse():
GPIO.output(A1, False)
GPIO.output(A2, True)
GPIO.output(B1, True)
GPIO.output(B2, False)
motor1.ChangeDutyCycle(DC)
motor2.ChangeDutyCycle(DC)
def left():
GPIO.output(A1, True)
GPIO.output(A2, False)
GPIO.output(B1, True)
GPIO.output(B2, False)
motor1.ChangeDutyCycle(DC)
motor2.ChangeDutyCycle(DC)
def right():
GPIO.output(A1, False)
GPIO.output(A2, True)
GPIO.output(B1, False)
GPIO.output(B2, True)
motor1.ChangeDutyCycle(DC)
motor2.ChangeDutyCycle(DC)
def stop():
GPIO.output(A1, False)
GPIO.output(A2, False)
GPIO.output(B1, False)
GPIO.output(B2, False)
motor1.ChangeDutyCycle(0)
motor2.ChangeDutyCycle(0)
GPIO.output(A1, False)
GPIO.output(A2, False)
GPIO.output(B1, False)
GPIO.output(B2, False)
#PID CONSTANTS
KP=80
KD=20
target=0
prev_errorb = 0
def getDC():
global DC
global prev_errorb
errorb=target+abs(yrot)
DC += (errorb*KP)+(prev_errorb*KD)
time.sleep(.003)
prev_errorb=errorb
if DC >= 100:
DC = 100
elif DC <= 0:
DC = 0
else:
DC = DC
return
def getGyro():
global yrot
yrotI = yrot
def read_byte(adr):
return bus.read_byte_data(address, adr)
def read_word(adr):
high = bus.read_byte_data(address, adr)
low = bus.read_byte_data(address, adr + 1)
val = (high << 8) + low
return val
def read_word_2c(adr):
val = read_word(adr)
if (val >= 0x8000):
return -((65535 - val) + 1)
else:
return val
def dist(a, b):
return math.sqrt((a * a) + (b * b))
def get_y_rotation(x, y, z):
radians = math.atan2(x, dist(y, z))
return -math.degrees(radians)
def get_x_rotation(x, y, z):
radians = math.atan2(y, dist(x, z))
return math.degrees(radians)
bus.write_byte_data(address, power_mgmt_1, 0)
gyro_xout = read_word_2c(0x43)
gyro_yout = read_word_2c(0x45)
gyro_zout = read_word_2c(0x47)
accel_xout = read_word_2c(0x3b)
accel_yout = read_word_2c(0x3d)
accel_zout = read_word_2c(0x3f)
accel_xout_scaled = accel_xout / 16384.0
accel_yout_scaled = accel_yout / 16384.0
accel_zout_scaled = accel_zout / 16384.0
xrot = get_x_rotation(accel_xout_scaled, accel_yout_scaled, accel_zout_scaled)
yrot = get_y_rotation(accel_xout_scaled, accel_yout_scaled, accel_zout_scaled)
deltaY = yrotI - yrot
if deltaY > .35:
yrot = yrot + makeMeLevelY
else:
yrot - yrotI
return
while True:
getGyro()
getDC()
print(DC, yrot)
#time1 = time.time() - start
f.write("%r, %r\r\n" % (DC, yrot))
if yrot < 0:
forward()
elif yrot > 0:
reverse()
elif yrot == 0:
stop()
char = getch()
if char == "q":
print 'Program Ended'
break
elif char == "w":
forward()
motor1.ChangeDutyCycle(DC)
motor2.ChangeDutyCycle(DC)
elif char == "s":
reverse()
motor1.ChangeDutyCycle(DC)
motor2.ChangeDutyCycle(DC)
elif char == "d":
right()
motor1.ChangeDutyCycle(DC)
motor2.ChangeDutyCycle(DC)
elif char == "a":
left()
motor1.ChangeDutyCycle(DC)
motor2.ChangeDutyCycle(DC)
time.sleep(.1)
motor1.ChangeDutyCycle(0)
motor2.ChangeDutyCycle(0)
char = ""
#start = time.time()
f.close()
sys.end()
| [
"noreply@github.com"
] | noreply@github.com |
d6006247060b26397e99da3a6cf6b21551f31d67 | b7b1eecf1d23235c7854f00fc7516234fe4efd66 | /main_app/urls.py | f1beb528821cd44348fbbd42e1c250aad02180b8 | [] | no_license | irfanahmd/unit-3-assessment | 9650807f1dae57b995926bee8083cd239078e882 | 17cc465127d8aed07045144376e0d1072bf0580b | refs/heads/main | 2023-02-12T21:38:14.970494 | 2021-01-21T03:13:49 | 2021-01-21T03:13:49 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 322 | py | from django.urls import path
from . import views
urlpatterns = [
path('', views.home, name='home'),
path('widgets/create/', views.WidgetCreate.as_view(template_name="index.html"),
name='widget_create'),
path('widgets/<int:pk>/delete/',
views.WidgetDelete.as_view(), name='widget_delete')
]
| [
"irfan@NC-MBP.local"
] | irfan@NC-MBP.local |
43a7a2f7b8f4cd2cf1ef4e1d2914694c7c2d63f4 | 6a95b330e1beec08b917ff45eccfd6be3fd4629f | /kubernetes/test/test_v1beta2_replica_set_spec.py | 90125f05d99575fb7f67ab126e67908b79902a85 | [
"Apache-2.0"
] | permissive | TokkoLabs/client-python | f4a83d6540e64861b59e322c951380a670578d7f | f1ad9c6889105d8510472606c98f8d3807f82020 | refs/heads/master | 2023-07-14T01:36:46.152341 | 2017-12-21T21:32:11 | 2017-12-21T21:32:11 | 115,042,671 | 0 | 0 | Apache-2.0 | 2021-08-06T03:29:17 | 2017-12-21T20:05:15 | Python | UTF-8 | Python | false | false | 1,003 | py | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.8.2
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import os
import sys
import unittest
import kubernetes.client
from kubernetes.client.rest import ApiException
from kubernetes.client.models.v1beta2_replica_set_spec import V1beta2ReplicaSetSpec
class TestV1beta2ReplicaSetSpec(unittest.TestCase):
""" V1beta2ReplicaSetSpec unit test stubs """
def setUp(self):
pass
def tearDown(self):
pass
def testV1beta2ReplicaSetSpec(self):
"""
Test V1beta2ReplicaSetSpec
"""
# FIXME: construct object with mandatory attributes with example values
#model = kubernetes.client.models.v1beta2_replica_set_spec.V1beta2ReplicaSetSpec()
pass
if __name__ == '__main__':
unittest.main()
| [
"mehdy@google.com"
] | mehdy@google.com |
4ca23f52cc73ef2d7d1dca3de553acebb8354157 | e9ef3cd143478660d098668a10e67544a42b5878 | /Lib/corpuscrawler/crawl_vag.py | ad0c810fa086afc10452c3e9d5ab39025ec7411c | [
"Apache-2.0"
] | permissive | google/corpuscrawler | a5c790c19b26e6397b768ce26cf12bbcb641eb90 | 10adaecf4ed5a7d0557c8e692c186023746eb001 | refs/heads/master | 2023-08-26T04:15:59.036883 | 2022-04-20T08:18:11 | 2022-04-20T08:18:11 | 102,909,145 | 119 | 40 | NOASSERTION | 2022-04-20T08:18:12 | 2017-09-08T22:21:03 | Python | UTF-8 | Python | false | false | 809 | py | # Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import absolute_import, print_function, unicode_literals
from corpuscrawler.util import crawl_bibleis
def crawl(crawler):
out = crawler.get_output(language='vag')
crawl_bibleis(crawler, out, bible='VAGWBT')
| [
"sascha@brawer.ch"
] | sascha@brawer.ch |
d998e32f40906238b53714101a60abb3a69745ed | 550116c99a6b4572945324dddb7bd70d66f9a8e2 | /src/Lists_Basics_More_Exercises/04_Battle_Ships.py | 11666b8448ab02aa5f19bb88e2f831a38ac655d8 | [] | no_license | ivelinakaraivanova/SoftUniPythonFundamentals | 810cc92796b335f31bae662fa255de66418fb1fd | 31bb4bbe817a65400bc444dbc5b692bd2ef94432 | refs/heads/main | 2022-12-28T08:53:33.587999 | 2020-10-18T16:15:09 | 2020-10-18T16:15:09 | 305,124,614 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 384 | py | n = int(input())
field = []
for i in range(n):
split_row = list(map(int, input().split(" ")))
field.append(split_row)
attacked = input().split(" ")
ships = 0
for item in attacked:
row = int(item.split("-")[0])
col = int(item.split("-")[1])
if field[row][col] > 0:
field[row][col] -= 1
if field[row][col] == 0:
ships += 1
print(ships) | [
"73067985+ivelinakaraivanova@users.noreply.github.com"
] | 73067985+ivelinakaraivanova@users.noreply.github.com |
9e33d666bbf4ced1f73f62d0f4f02a6ca92f334f | 938c55df0653b377318cd434f0fedb97036cfe7d | /day26/flask_web/app.py | a21e33c290a456cd124540302ff1aaf6fe620363 | [] | no_license | elliajen/pyworks | 6f754d0caaa4d110549f7704ade72f0002e63adb | a24a7c02f338fa8d7cfdab5a0d8bc005532dfa99 | refs/heads/master | 2023-08-26T17:27:11.893396 | 2021-10-22T04:28:43 | 2021-10-22T04:28:43 | 402,286,435 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 452 | py | # 웹서버(local 내 컴퓨터) 가동
from flask import Flask
app = Flask(__name__) #flask 클래스에서 app 객체 생성
@app.route('/') #라우트(경로 설정)
def index():
return "<h1>Hello~ Flask!</h1>" #인텍스페이지에서 문자 출력
@app.route('/login')
def login():
return "<h2>로그인 페이지입니다.</h2>"
@app.route('/member')
def member():
return "<h2>회원가입 페이지입니다.</h2>"
app.run() | [
"dmstndhk123@naver.com"
] | dmstndhk123@naver.com |
43a71d7d7363311ff3be09c786729fa446a2e279 | b0856dcd90923f5a7555321fddcc5317b888fc7e | /todo/todo/urls.py | 58eb858bc250b90a36f73e6db2c3849031f6a627 | [] | no_license | SergeyGarinV/Todo | 5fb01719d9652f17d44e1804832ed926611e2cb1 | 8d61081be9093dcfd4b3a9d87f5b7f371f664428 | refs/heads/main | 2023-02-28T00:20:25.336164 | 2021-02-01T16:40:06 | 2021-02-01T16:40:06 | 317,591,864 | 0 | 0 | null | 2020-12-03T17:27:56 | 2020-12-01T15:54:50 | Python | UTF-8 | Python | false | false | 893 | py | """todo URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based views
1. Add an import: from other_app.views import Home
2. Add a URL to urlpatterns: path('', Home.as_view(), name='home')
Including another URLconf
1. Import the include() function: from django.urls import include, path
2. Add a URL to urlpatterns: path('blog/', include('blog.urls'))
"""
from django.contrib import admin
from django.urls import path, include
urlpatterns = [
path('admin/', admin.site.urls),
path('', include('main.urls')),
path('item/', include('todo_item.urls')),
path('registration/', include('registration.urls'))
]
| [
"SergeyGarinV"
] | SergeyGarinV |
5a092fc764baa4a755ddf4296e3818a96a66c83c | 3fc51020aa360964759dcbc8d841bfdc3d268432 | /personal/forms.py | 097c703dc3958d62e56daf06d3273117bac902fb | [] | no_license | tapopadma/myWebsite | 1d1671f42db4d23c2f0ad17c8ba000bef6aed050 | 6df6d3ae2cb28f81432866bd346ffe8a4889b9f8 | refs/heads/master | 2021-01-16T21:04:13.610970 | 2016-06-26T19:49:20 | 2016-06-26T19:49:20 | 61,558,796 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 707 | py | from django import forms
class ContactForm(forms.Form):
first_name = forms.CharField(required=True, widget=forms.TextInput(attrs={'placeholder': 'First name', 'class' : 'form-control'}))
last_name = forms.CharField(required=True, widget=forms.TextInput(attrs={'placeholder': 'Last name', 'class' : 'form-control'}))
from_email = forms.EmailField(required=True, widget=forms.TextInput(attrs={'placeholder': 'Email id', 'class' : 'form-control'}))
subject = forms.CharField(required=True, widget=forms.TextInput(attrs={'placeholder': 'Subject', 'class' : 'form-control'}))
message = forms.CharField(required=True, widget=forms.Textarea(attrs={'placeholder': 'Write here...', 'class' : 'form-control'})) | [
"tapopadmatripathy1995@gmail.com"
] | tapopadmatripathy1995@gmail.com |
2d140ab595fe7142f2c3da40a7a1d59518173fea | f0bd09eb75ffe2052603f2495f01b4181517d965 | /cajaRegistradora.py | 1b8525e93b94725b65aaaf02176aeed86e6268af | [] | no_license | danfmartinez/python | 3b2c40216a2eab0912f1cc735faf65df50dbee35 | 33ffd9ef4294d94d89ed70a60201a019af0a9a35 | refs/heads/main | 2023-03-31T05:01:04.217974 | 2021-04-02T19:16:24 | 2021-04-02T19:16:24 | 354,111,458 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,758 | py | import unittest
class Producto():
def __init__(self, codigo, nombre, precio):
self.__codigo = codigo
self.__nombre = nombre
self.__precio = precio
@property
def codigo(self):
return self.__codigo
@property
def nombre(self):
return self.__nombre
@property
def precioVenta(self):
return self.__precio
class CajaRegistradora():
def __init__(self):
self.__productos = []
self.__listaVenta = []
self.__subtotal = 0
self.__total = 0
@property
def productos(self):
return self.__productos
@property
def lista_Venta(self):
return self.__listaVenta
# se ingresan los productos a vender
def registrar_producto(self, codigo, nombre, precio):
nuevo = Producto (codigo, nombre, precio)
self.__productos.append(nuevo)
# se registra las ventas ingresando codigo del producto y la cantidad
def venta (self, codigo, cantidad):
for i in self.__productos:
if i.codigo == codigo:
precio = i.precioVenta * cantidad
nombre = i.nombre
self.__listaVenta.append((nombre,precio))
# se suma los precios de la lista de la venta
@property
def subtotal(self):
for lista in self.__listaVenta:
self.__subtotal += lista[1]
return self.__subtotal
# el cambio del cliente
def cambio_cliente(self, pagoCliente):
total = self.precio_total
cambio = pagoCliente - total
return cambio
# precio total despues de descuentos
# si compra 2 productos 10% de descuento
# si compra 3 productos 20% de descuento
# si compra 4 o mas 30% de decuento
@property
def precio_total(self):
numProductos = len(self.__listaVenta)
subtotal = self.subtotal
if numProductos == 2:
descuento = 0.1
if numProductos == 3:
descuento = 0.2
if numProductos >= 4 :
descuento = 0.3
self.__total = subtotal * (1 - descuento)
return self.__total
# se realizan los test
class ProductoTest(unittest.TestCase):
def setUp(self):
self._producto = Producto(codigo="m4nz", nombre="Manzana", precio=4)
def test_one_producto(self):
codigo = self._producto.codigo
self.assertEqual("m4nz", codigo)
def test_two_producto(self):
nombre = self._producto.nombre
self.assertEqual("Manzana", nombre)
def test_three_producto(self):
precio = self._producto.precioVenta
self.assertEqual(4,precio)
class AlmacenTest(unittest.TestCase):
def setUp(self):
self._caja = CajaRegistradora()
self._caja.registrar_producto("m4nz","Manzana",4)
self._caja.registrar_producto("m3t0n","Melocoton",10)
self._caja.registrar_producto("t0m4", "Tomate", 5 )
self._caja.registrar_producto("b4n0","Banano", 8)
def test_one_Venta (self):
self._caja.venta(codigo="m4nz",cantidad=2)
lista_de_venta = self._caja.lista_Venta
self.assertListEqual([("Manzana",8)],lista_de_venta)
def test_two_Venta (self):
self._caja.venta(codigo="m4nz",cantidad=2)
self._caja.venta(codigo="b4n0",cantidad=3)
lista_de_venta = self._caja.lista_Venta
self.assertListEqual([("Manzana",8),("Banano",24)],lista_de_venta)
def test_three_venta(self):
self._caja.venta(codigo="m4nz",cantidad=2)
self._caja.venta(codigo="b4n0",cantidad=3)
subTotal = self._caja.subtotal
self.assertEqual(32, subTotal)
def test_four_venta(self):
self._caja.venta(codigo="m4nz",cantidad=2)
self._caja.venta(codigo="b4n0",cantidad=3)
total = self._caja.precio_total
self.assertAlmostEqual(28.8, total)
def test_five_venta(self):
self._caja.venta(codigo="m4nz",cantidad=2)
self._caja.venta(codigo="b4n0",cantidad=3)
cambio = self._caja.cambio_cliente(30)
self.assertAlmostEqual(1.2, cambio)
def test_six_venta(self):
self._caja.venta(codigo="m4nz",cantidad=2)
self._caja.venta(codigo="b4n0",cantidad=3)
self._caja.venta(codigo="t0m4",cantidad=4)
total = self._caja.precio_total
self.assertAlmostEqual(41.6, total)
def test_seven_venta(self):
self._caja.venta(codigo="m4nz",cantidad=2)
self._caja.venta(codigo="b4n0",cantidad=3)
self._caja.venta(codigo="t0m4",cantidad=6)
self._caja.venta(codigo="m3t0n",cantidad=1)
total = self._caja.precio_total
self.assertAlmostEqual(50.4, total)
if __name__== "__main__":
unittest.main()
| [
"danfmartinezviz@unal.edu.co"
] | danfmartinezviz@unal.edu.co |
e5847ba403b39dd9a8e6858c507ffb1cc9b99510 | 56c8ac87c5f1d72c912a3aa2e9397d733d0610d7 | /les 4/pe4.3.py | 8e1cb07dc3b3260f5532e2f2ac1a4ac6aa9ae065 | [] | no_license | LaurineMoes/programming1 | 14f2f252013eee3dfea6c2dda59485d35b95a3fa | ad5efce5ef6074b2bc3e138e55ed22a8c59e8892 | refs/heads/master | 2020-03-28T12:51:44.847591 | 2018-11-29T08:52:06 | 2018-11-29T08:52:06 | 148,341,460 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 168 | py | uurloon = input("Wat verdien je per uur: ")
uur = input("Hoeveel uur heb je gewerkt: ")
print (uur + " uur werken levert " + str(int(uurloon) * int(uur)) + " Euro op")
| [
"laurine.moes@student.hu.nl"
] | laurine.moes@student.hu.nl |
60e7eb15a48e0026a75e5bc5b0ffe0a079ab0dd7 | 405aa514051d6e57c33bdf8e06809c5499544122 | /classifier.py | 5eef3527dd307dba560adf5085f277eea33a6edb | [] | no_license | guan-terry/Yelp-Classifier | 165c7dcda0a8accf18c0f2caadb9c084b5131367 | 37ccb604c19ab8522d077f9e764b1f8b1e0faa68 | refs/heads/master | 2020-11-29T04:40:13.812870 | 2019-12-25T02:51:38 | 2019-12-25T02:51:38 | 230,024,242 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,486 | py | import json
import pandas as pd
import re
import nltk
import pickle
from nltk.corpus import stopwords
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier
from sklearn.linear_model import LogisticRegression, Perceptron
from sklearn.preprocessing import StandardScaler
from sklearn.tree import DecisionTreeClassifier
from sklearn.neural_network import MLPClassifier
from sklearn.naive_bayes import GaussianNB
from sklearn.metrics import classification_report, confusion_matrix
from sklearn.svm import SVC, LinearSVC
from sklearn import preprocessing
from sklearn.ensemble import VotingClassifier
from sklearn.neural_network import MLPClassifier
from imblearn.over_sampling import RandomOverSampler
from imblearn.under_sampling import RandomUnderSampler
nltk.download('stopwords')
#opens the file to trian with
with open('data_train.json') as json_file:
ds = pd.read_json(json_file ,orient='records')
dataset = ds.iloc[:, ~ds.columns.isin(['date', 'text'])]
unique_name = set()
names = {}
#parses the most common text to use as training instances
for i in ds['text'].iloc[:]:
words = i.split()
words =[re.sub('[^a-zA-Z]', "", c).lower() for c in words]
for i in words:
if i in names:
names.update({i:names.get(i) + 1})
else:
names.update({i:1})
q = sorted(names, key=names.get, reverse = True)[:2000]
q = [r for r in q if r not in set(stopwords.words('english'))]
# Adds the most common words to the dataset to train with
for i in q:
if i != '' and i != 'stars' and i !='useful' and i!= 'cool' and i!= 'funny' and i not in set(stopwords.words('english')):
dataset[i] = 0
# Adds these variables if they ever show up so not to overwrite original stars, useful, cool, and funny
dataset['stars1'] = 0
dataset['useful1'] = 0
dataset['cool1'] = 0
dataset['funny1'] = 0
#iterates over the train data and adds the words in if they appear
for num, i in enumerate(ds['text'].iloc[:]):
words = i.split()
words = [re.sub('[^a-zA-Z]', "", c).lower() for c in words]
for i in words:
if i!= '' and i in q and i != 'stars' and i != 'useful' and i != 'cool' and i != 'funny':
dataset.at[num,i] += 1
if i == 'stars':
dataset.at[num, 'stars1'] += 1
if i == 'useful':
dataset.at[num, 'useful1'] += 1
if i == 'cool':
dataset.at[num, 'cool1'] += 1
if i == 'funny':
dataset.at[num, 'funny1'] += 1
#undersamples the data so data isn't weighted to 5 as heavily
#splits the data into features and labels
ros = RandomUnderSampler(random_state=0)
y = dataset['stars'].values
x = dataset.loc[:,dataset.columns != 'stars'].values
x_train, x_test, y_train, y_test = train_test_split(x,y,test_size = .2)
#Tried these classifiers
#classifier_knn = KNeighborsClassifier(n_neighbors = 20) #n = 20 38% 500
#classifier_dt = DecisionTreeClassifier(max_depth = 70) #38% with 500 words
#classifier_per = Perceptron() # 47% with 500 words
#classifier_nb = GaussianNB() #52% 1000 words
#classifier = SVC() #56.8 % accuracy with 1000 waords/55% 500/ 57.2% 1200 / 40000 train 10000 test 2000 words 58.0%
#classifier = LinearSVC(multi_class='ovr') #56% 500 55% 2000 words
#classifier = MLPClassifier() #2000 54%
#classifier = LogisticRegression(multi_class='ovr', solver = 'newton-cg') #56% 500 words 56% 2000 words 40000 train
classifier = MLPClassifier(solver = 'lbfgs', alpha = .01, hidden_layer_sizes=(10,7), random_state = 1)
#eclf = VotingClassifier(estimators=[('dt', classifier_dt), ('knn', classifier_knn), ('gnb', classifier_nb), ('per', classifier_per)])
#classifier_knn.fit(x_train, y_train)
#classifier_dt.fit(x_train, y_train)
#classifier_per.fit(x_train, y_train)
#classifier_nb.fit(x_train, y_train)
#eclf.fit(x_train,y_train)
classifier.fit(x_train, y_train)
y_pred = classifier.predict(x_test)
print(confusion_matrix(y_pred, y_test))
print(classification_report(y_pred, y_test))
#writes the classifier into a pickle file
with open('clasifier.pickle', 'wb') as handle:
pickle.dump(classifier, handle)
with open('words.txt', 'w') as f:
for item in q:
f.write("%s\n" % item)
| [
"terryguan1@gmail.com"
] | terryguan1@gmail.com |
ec8e0ae373794ad4d72ba3de4fc2da8a16a4c607 | c8a822313bb2c36b65b7399b9e6ac00d785f0426 | /UserCode/friccita/BoostedTauAnalysis/TauAnalyzer/test/SignalSampleGenerator.py | 9831dd58a21ac3960a54a0c31558e00f084ac72e | [] | no_license | friccita/usercode | 4cd3e311b55beab56971d8e7d5a7ed30017a8c97 | 7494a063ecbeb8cefe71595f04d3f83d9dc7929a | refs/heads/master | 2021-01-13T01:41:28.131187 | 2014-05-22T09:30:48 | 2014-05-22T09:30:48 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 376,161 | py | # Auto generated configuration file
# using:
# Revision: 1.372.2.3
# Source: /local/reps/CMSSW.admin/CMSSW/Configuration/PyReleaseValidation/python/ConfigBuilder.py,v
# with command line options: Configuration/GenProduction/python/EightTeV/ZZTo2L2Nu_TuneZ2star_8TeV_pythia6_tauola_cff.py -s GEN,SIM,DIGI,L1,DIGI2RAW,HLT:5E33v4,RAW2DIGI,L1Reco,RECO --conditions START52_V9::All --eventcontent AODSIM --fileout=Summer12_NMSSMHiggs.root --number=10000 --mc --no_exec --beamspot Realistic8TeVCollision --pileup=E7TeV_Fall2011_Reprocess_50ns_PoissonOOTPU --datamix=NODATAMIXER --pileup_input=/MinBias_TuneZ2star_8TeV-pythia6/Summer12-START50_V13-v3/GEN-SIM
import FWCore.ParameterSet.Config as cms
process = cms.Process('HLT')
# import of standard configurations
process.load('Configuration.StandardSequences.Services_cff')
process.load('SimGeneral.HepPDTESSource.pythiapdt_cfi')
process.load('FWCore.MessageService.MessageLogger_cfi')
process.load('Configuration.EventContent.EventContent_cff')
process.load('SimGeneral.MixingModule.mix_E7TeV_Fall2011_Reprocess_50ns_PoissonOOTPU_cfi')
process.load('Configuration.StandardSequences.GeometryDB_cff')
process.load('Configuration.StandardSequences.MagneticField_38T_cff')
process.load('Configuration.StandardSequences.Generator_cff')
process.load('IOMC.EventVertexGenerators.VtxSmearedRealistic8TeVCollision_cfi')
process.load('GeneratorInterface.Core.genFilterSummary_cff')
process.load('Configuration.StandardSequences.SimIdeal_cff')
process.load('Configuration.StandardSequences.Digi_cff')
process.load('Configuration.StandardSequences.SimL1Emulator_cff')
process.load('Configuration.StandardSequences.DigiToRaw_cff')
process.load('HLTrigger.Configuration.HLT_5E33v4_cff')
process.load('Configuration.StandardSequences.RawToDigi_cff')
process.load('Configuration.StandardSequences.L1Reco_cff')
process.load('Configuration.StandardSequences.Reconstruction_cff')
process.load('Configuration.StandardSequences.EndOfProcess_cff')
process.load('Configuration.StandardSequences.FrontierConditions_GlobalTag_cff')
#so the seed is randomized for each job
from IOMC.RandomEngine.RandomServiceHelper import RandomNumberServiceHelper
randHelper = RandomNumberServiceHelper(process.RandomNumberGeneratorService)
randHelper.populate()
process.RandomNumberGeneratorService.saveFileName = cms.untracked.string(
"RandomEngineState_JOBNUM.log"
)
from Configuration.Generator.PythiaUEZ2starSettings_cfi import *
process.maxEvents = cms.untracked.PSet(
input = cms.untracked.int32(100)
)
# Input source
process.source = cms.Source("EmptySource")
process.source.firstRun = cms.untracked.uint32(JOBNUM)
process.options = cms.untracked.PSet(
)
# Production Info
process.configurationMetadata = cms.untracked.PSet(
version = cms.untracked.string('Revision: 1.1 '),
annotation = cms.untracked.string('PYTHIA6-EWK ZZ->2l2nu with Tauola at 8 TeV'),
name = cms.untracked.string('Source: /local/reps/CMSSW/CMSSW/Configuration/GenProduction/python/EightTeV/ZZTo2L2Nu_TuneZ2star_8TeV_pythia6_tauola_cff.py,v ')
)
# Output definition
process.AODSIMoutput = cms.OutputModule("PoolOutputModule",
eventAutoFlushCompressedSize = cms.untracked.int32(15728640),
outputCommands = process.AODSIMEventContent.outputCommands,
fileName = cms.untracked.string('Summer12_NMSSMHiggs_JOBNUM.root'),
dataset = cms.untracked.PSet(
filterName = cms.untracked.string(''),
dataTier = cms.untracked.string('')
),
SelectEvents = cms.untracked.PSet(
SelectEvents = cms.vstring('generation_step')
)
)
# Additional output definition
# Other statements
process.mix.input.nbPileupEvents.histoFileName = cms.untracked.string('histProbFunction_JOBNUM.root')
process.mix.input.fileNames = cms.untracked.vstring(['/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FEF2F4CC-0E6A-E111-96F6-0030487F1C57.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FEDB4329-DC67-E111-8E34-0025901D4B04.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FE7EEC47-9A67-E111-B3DA-00266CFFA704.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FE6FCD94-5B69-E111-BC44-0030487D5E81.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FE3540B9-2768-E111-B7D2-003048D43958.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FE307A34-E36A-E111-B228-0030487F1A3D.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FE0E7FAB-7065-E111-9153-0030487D814D.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FCFF3A90-9867-E111-9B03-00266CFFA278.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FCF92968-D96A-E111-A402-003048D437EC.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FCEA4B68-206B-E111-B855-0030487D5EAF.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FCB08676-6468-E111-B092-003048F0E1EE.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FCAD79D5-5965-E111-82FE-003048C693D8.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FCAD36D1-276B-E111-942F-003048D4365C.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FC7164E4-9967-E111-8140-00266CF32AF4.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FC6F7229-F06A-E111-B0DA-003048D462DA.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FC6CABC3-1A6B-E111-9CFF-003048F0E828.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FC6602A8-9867-E111-A354-0025901D4C94.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FC5F7EE7-E768-E111-8DB1-003048C68A8E.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FC46B6F9-9967-E111-9734-00266CF33100.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FC36202D-6F69-E111-830B-0030487F1C55.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FC28E245-5C69-E111-BFDA-0030487F9351.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FC053495-9967-E111-9C2C-00266CF32E70.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FAD76E95-9867-E111-9660-0025901D4844.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FAD6F2A3-266B-E111-9E29-003048D439AC.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FABFCE97-876A-E111-BE75-003048D437C4.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FAAFEB39-DF68-E111-9370-002481E10D3E.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FAAE3B5B-9867-E111-AA1D-00266CF33100.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FAA7432E-5E69-E111-B4B9-003048D3739C.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FA932E1A-EC68-E111-AE69-003048C692D6.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FA5D62B7-9867-E111-A554-0025901D4B04.root', '/store/mc/Summer12/MinBias_TuneZ2star_8TeV-pythia6/GEN-SIM/START50_V13-v3/0002/FA3A5D86-EB68-E111-8348-002481E0D12C.root', 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process.GlobalTag.globaltag = 'START52_V9::All'
process.generator = cms.EDFilter(
"Pythia6GeneratorFilter",
ExternalDecays = cms.PSet(
Tauola = cms.untracked.PSet(
UseTauolaPolarization = cms.bool(True),
InputCards = cms.PSet(
mdtau = cms.int32(0),
pjak2 = cms.int32(0),
pjak1 = cms.int32(0)
)
),
parameterSets = cms.vstring('Tauola')
),
maxEventsToPrint = cms.untracked.int32(0),
pythiaPylistVerbosity = cms.untracked.int32(0),
filterEfficiency = cms.untracked.double(1.0),
pythiaHepMCVerbosity = cms.untracked.bool(False),
comEnergy = cms.double(8000.0),
crossSection = cms.untracked.double(0.1913),
UseExternalGenerators = cms.untracked.bool(True),
PythiaParameters = cms.PSet(
pythiaUESettingsBlock,
processParameters = cms.vstring(
#the full NMSSM can only be simulated in Pythia if an SLHA file is taken as input
#here, we use the 2HDM as an approximation
#setup
'MSEL = 0 !User defined processes',
## 'MSUB(24)=1 !qqbar-->Z(h/H1(h/H2))',
## 'MSUB(171)=1 !qqbar-->Z(H/H1(H/H2))',
## 'MSUB(172)=1 !qqbar-->W+(H/H1(H/H2))',
'MSUB(152)=1 !gg-->H/H1(H/H2)',
'MSTP(4)=1 !modify h/H1 (h/H2) couplings',
## 'IMSS(13)=1 !recognize NMSSM particles', #for reading in from an SLHA file
#masses of the 3 neutral scalar Higgses in the NMSSM, lightest to heaviest
## 'PMAS(C25,1)=115.0 !h/H1 mass',
## 'PMAS(C35,1)=125.0 !H/H2 mass',
'PMAS(C25,1)=125.0 !h/H2 mass',
'PMAS(C35,1)=115.0 !H/H1 mass',
'PMAS(C45,1)=500.0 !H3 mass',
#charged Higgs mass?
#mass of the light pseudoscalar Higgs in the NMSSM
'PMAS(C36,1)=9.0 !a mass',
#mass of the CP-odd Higgs in the NMSSM
'PMAS(C46,1)=500.0 !A2 mass',
#mass of the extra singlino neutralino in the NMSSM
#appears not to work unless an SLHA file is supplied and corresponding switches are set
## 'PMAS(1000045,1)=100.0 !chi5 mass',
#h/H1 (h/H2) couplings (these play little role for ZH production, mH > mh)
## 'PARU(161)=10. !h/H1 (h/H2) coupling to d-type quarks',
## 'PARU(162)=0.1 !h/H1 (h/H2) coupling to u-type quarks',
## 'PARU(163)=10. !h/H1 (h/H2) coupling to leptons',
'PARU(161)=1. !h/H1 (h/H2) coupling to d-type quarks', #=1 to be more SM-like
'PARU(162)=1. !h/H1 (h/H2) coupling to u-type quarks', #=1 to be more SM-like
'PARU(163)=1. !h/H1 (h/H2) coupling to leptons', #=1 to be more SM-like
'PARU(164)=0.71 !h/H1 (h/H2) coupling to Z', #set to 1/sqrt(2) so PARU(164)^2 + PARU(174)^2 = 1
'PARU(165)=0.71 !h/H1 (h/H2) coupling to W', #set to 1/sqrt(2) so PARU(165)^2 + PARU(175)^2 = 1
'PARU(168)=0.0 !h/H1 (h/H2) coupling to H+/- in AA-->h/H1 (h/H2) loops',
#H/H2 (H/H1) couplings
## 'PARU(171)=10. !H/H2 (H/H1) coupling to d-type quarks',
## 'PARU(172)=0.1 !H/H2 (H/H1) coupling to u-type quarks',
## 'PARU(173)=10. !H/H2 (H/H1) coupling to leptons',
## 'PARU(171)=0. !H/H2 (H/H1) coupling to d-type quarks', #force H-->aa
## 'PARU(172)=0. !H/H2 (H/H1) coupling to u-type quarks', #force H-->aa
## 'PARU(173)=0. !H/H2 (H/H1) coupling to leptons', #force H-->aa
'PARU(171)=0.25 !H/H2 (H/H1) coupling to d-type quarks', #prefer H-->aa
'PARU(172)=0.25 !H/H2 (H/H1) coupling to u-type quarks', #prefer H-->aa
'PARU(173)=0.25 !H/H2 (H/H1) coupling to leptons', #prefer H-->aa
'PARU(174)=0.71 !H/H2 (H/H1) coupling to Z', #set to 1/sqrt(2) so PARU(164)^2 + PARU(174)^2 = 1
'PARU(175)=0.71 !H/H2 (H/H1) coupling to W', #set to 1/sqrt(2) so PARU(165)^2 + PARU(175)^2 = 1
'PARU(176)=0.0 !H/H2 (H/H1) coupling to (h/H1 (h/H2))(h/H1 (h/H2))',
'PARU(177)=4.0 !H/H2 (H/H1) coupling to aa', #what should this be? want it dominant
'PARU(178)=0.0 !H/H2 (H/H1) coupling to H+/- in AA-->H/H2 (H/H1) loops',
#H3 couplings?
#a couplings
'PARU(181)=10. !a coupling to d-type quarks',
'PARU(182)=0.1 !a coupling to u-type quarks',
'PARU(183)=10. !a coupling to leptons',
'PARU(184)=0. !a coupling to Z', #0 by default?
'PARU(185)=0. !a coupling to W', #0 by default?
'PARU(186)=0. !a coupling to Z(h/H1 (h/H2))',
'PARU(187)=0. !a coupling to Z(H/H2 (H/H1))',
'PARU(188)=0. !a coupling to Zprime(h/H1 (h/H2))',
'PARU(189)=0. !a coupling to Zprime(H/H2 (H/H1))',
'PARU(190)=0. !a coupling to H+/- in AA-->a loops',
#tan beta (PARU(141))?
#only allow leptonic W decays (this should affect the LO cross section reported by Pythia)
## '24:ALLOFF',
## '24:ONIFANY 11 13 15',
#only allow leptonic Z decays (this should affect the LO cross section reported by Pythia)
'23:ALLOFF !turn on all Z decays',
'23:ONIFANY 11 13 15 !only turn on Z-->ll decays',
#default stuff that has to do with fragmentation
'!MSTJ(11)=3 !something to do with fragmentation',
'!MSTJ(27)=2 !something to do with fragmentation',
'!PARJ(55)=-0.006 !something to do with fragmentation'
),
parameterSets = cms.vstring('pythiaUESettings', 'processParameters')
)
)
process.ProductionFilterSequence = cms.Sequence(process.generator)
# Path and EndPath definitions
process.generation_step = cms.Path(process.pgen)
process.simulation_step = cms.Path(process.psim)
process.digitisation_step = cms.Path(process.pdigi)
process.L1simulation_step = cms.Path(process.SimL1Emulator)
process.digi2raw_step = cms.Path(process.DigiToRaw)
process.raw2digi_step = cms.Path(process.RawToDigi)
process.L1Reco_step = cms.Path(process.L1Reco)
process.reconstruction_step = cms.Path(process.reconstruction)
process.genfiltersummary_step = cms.EndPath(process.genFilterSummary)
process.endjob_step = cms.EndPath(process.endOfProcess)
process.AODSIMoutput_step = cms.EndPath(process.AODSIMoutput)
# Schedule definition
process.schedule = cms.Schedule(process.generation_step,process.genfiltersummary_step,process.simulation_step,process.digitisation_step,process.L1simulation_step,process.digi2raw_step)
process.schedule.extend(process.HLTSchedule)
process.schedule.extend([process.raw2digi_step,process.L1Reco_step,process.reconstruction_step,process.endjob_step,process.AODSIMoutput_step])
# filter all path with the production filter sequence
for path in process.paths:
getattr(process,path)._seq = process.ProductionFilterSequence * getattr(process,path)._seq
| [
"friccita@ucdavis.cern.ch"
] | friccita@ucdavis.cern.ch |
039ccf93cec028a95a10e965719e2644dea90629 | f445450ac693b466ca20b42f1ac82071d32dd991 | /generated_tempdir_2019_09_15_163300/generated_part004501.py | ed45a8b978dd61582172fdc173ae6454577b7843 | [] | no_license | Upabjojr/rubi_generated | 76e43cbafe70b4e1516fb761cabd9e5257691374 | cd35e9e51722b04fb159ada3d5811d62a423e429 | refs/heads/master | 2020-07-25T17:26:19.227918 | 2019-09-15T15:41:48 | 2019-09-15T15:41:48 | 208,357,412 | 4 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,292 | py | from sympy.abc import *
from matchpy.matching.many_to_one import CommutativeMatcher
from matchpy import *
from matchpy.utils import VariableWithCount
from collections import deque
from multiset import Multiset
from sympy.integrals.rubi.constraints import *
from sympy.integrals.rubi.utility_function import *
from sympy.integrals.rubi.rules.miscellaneous_integration import *
from sympy import *
class CommutativeMatcher96697(CommutativeMatcher):
_instance = None
patterns = {
0: (0, Multiset({}), [
(VariableWithCount('i2.4.1.0', 1, 1, None), Mul),
(VariableWithCount('i2.4.1.0_1', 1, 1, S(1)), Mul)
])
}
subjects = {}
subjects_by_id = {}
bipartite = BipartiteGraph()
associative = Mul
max_optional_count = 1
anonymous_patterns = set()
def __init__(self):
self.add_subject(None)
@staticmethod
def get():
if CommutativeMatcher96697._instance is None:
CommutativeMatcher96697._instance = CommutativeMatcher96697()
return CommutativeMatcher96697._instance
@staticmethod
def get_match_iter(subject):
subjects = deque([subject]) if subject is not None else deque()
subst0 = Substitution()
# State 96696
return
yield
from collections import deque | [
"franz.bonazzi@gmail.com"
] | franz.bonazzi@gmail.com |
176d522c11b20f2be3cbbd8d3308cfdfaffc93f9 | 52d27b1ae41dd7d9231132dede34a8d25f2adc2f | /loger.py | 50caf94014175b16e1975557713b6635e63de797 | [] | no_license | andrew5205/Pyserial | 59febbf53e953495ba74c7851bfe03eaddcffc6f | 312cccf351843957e46aa1626d63ba4b4cbbc917 | refs/heads/master | 2023-02-23T17:54:42.752621 | 2021-01-26T05:39:10 | 2021-01-26T05:39:10 | 329,500,438 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,214 | py | import serial
import serial.tools.list_ports
import sys
import time
from datetime import datetime
print('Search...')
ports = serial.tools.list_ports.comports(include_links=False)
for port in ports :
print('Find port '+ port.device)
# ser = serial.Serial(port.device)
# if ser.isOpen():
# ser.close()
all_ports_list = list()
for port in serial.tools.list_ports.comports():
all_ports_list.append(port.device)
print(all_ports_list)
date = datetime.now().strftime('%d-%m-%Y')
# open available ports
for i in range(len(all_ports_list)):
p = serial.Serial(port=all_ports_list[i], baudrate=115200)
# print(i) # 0
# print(p) # Serial<id=0x1b75115eb80, open=True>(port='COM21', baudrate=115200, bytesize=8, parity='N', stopbits=1, timeout=None, xonxoff=False, rtscts=False, dsrdtr=False)
# print(p.port) # COM3
if p.port:
# file name pass in port.device after
f = open('ser_{0}_{1}.log'.format(p.port, date), 'w+')
# f = open('ser_%s.log' %p.port, 'w+')
while True:
debug_line = str(p.readline().decode(encoding='utf-8'))
print(debug_line)
f.write(debug_line)
f.close()
| [
"andrewchung11@gmail.com"
] | andrewchung11@gmail.com |
60667646a8c0e4df40e519ec049f1c82344b14e6 | 1225d2662ccfd83fb39152ed2ccf11d4f004b642 | /accounts/views.py | 1fd10ad2a588d116762956a7cc5b97bdc92218ba | [] | no_license | qwer-code/django-mall | 02623eaaaa79fab5e3ac01255859bccb92120bc3 | 8bea457f2292e1f54df5313fad3fd7e54e0273e2 | refs/heads/master | 2022-04-21T11:57:27.046116 | 2020-04-22T10:38:00 | 2020-04-22T10:38:00 | 257,866,445 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,122 | py | from django.contrib.auth.decorators import login_required
from django.http import HttpResponse
from django.shortcuts import render, redirect, get_object_or_404
from django.contrib.auth import authenticate, login, logout
from accounts.forms import UserLoginForm, UserRegistForm, UserAddressForm
from accounts.models import User, UserAddress
from utils import constants
from utils.verify import VerifyCode
def user_login(request):
""" 用户登录 """
# 如果登录是从其他页面跳转过来的，会带next参数，如果有next参数，登录完成后，需要调转到
# next所对应的地址，否则，跳转到首页上去
next_url = request.GET.get('next', 'index')
# 第一次访问URL GET 展示表单，供用户输入
# 第二次访问URL POST
if request.method == 'POST':
form = UserLoginForm(request=request, data=request.POST)
print(request.POST)
client = VerifyCode(request)
code = request.POST.get('vcode', None)
rest = client.validate_code(code)
print('验证结果：', rest)
# 表单是否通过了验证
if form.is_valid():
# 执行登录
data = form.cleaned_data
# ## 使用自定义的方式实现登录
# # 查询用户信息 [MD5]加密算法，不可逆的加密算法 1243 -> sdfadfad
# user = User.objects.get(username=data['username'], password=data['password'])
# # 设置用户ID到session
# request.session[constants.LOGIN_SESSION_ID] = user.id
# # 登录后的跳转
# return redirect('index')
### 使用django-auth来实现登录
user = authenticate(request, username=data['username'], password=data['password'])
if user is not None:
login(request, user)
request.session['user_id'] = user.id
# 登录后的跳转
return redirect(next_url)
else:
print(form.errors)
else:
form = UserLoginForm(request)
return render(request, 'login.html', {
'form': form,
'next_url': next_url
})
def user_logout(request):
""" 用户退出登录 """
logout(request)
return redirect('index')
def user_register(request):
""" 用户注册 """
if request.method == 'POST':
form = UserRegistForm(request=request, data=request.POST)
if form.is_valid():
# 调用注册方法
print('开始注册')
form.register()
print('注册成功')
return redirect('index')
# return HttpResponse('ok')
else:
print(form.errors)
else:
form = UserRegistForm(request=request)
return render(request, 'register.html', {
'form': form
})
@login_required
def address_list(request):
""" 地址列表 """
my_addr_list = UserAddress.objects.filter(user=request.user, is_valid=True)
return render(request, 'address_list.html', {
'my_addr_list': my_addr_list
})
@login_required
def address_edit(request, pk):
""" 地址新增或者是编辑 """
user = request.user
addr = None
initial = {}
# 如果PK是数字，则表示修改
if pk.isdigit():
# 查询相关的地址信息
addr = get_object_or_404(UserAddress, pk=pk, user=user, is_valid=True)
initial['region'] = addr.get_region_format()
if request.method == 'POST':
form = UserAddressForm(request=request, data=request.POST,
initial=initial, instance=addr)
if form.is_valid():
form.save()
return redirect('accounts:address_list')
else:
form = UserAddressForm(request=request, instance=addr, initial=initial)
return render(request, 'address_edit.html', {
'form': form
})
def address_delete(request, pk):
""" 删除地址 """
addr = get_object_or_404(UserAddress, pk=pk, is_valid=True, user=request.user)
addr.is_valid = False
addr.save()
return HttpResponse('ok')
| [
"790285658@qq.com"
] | 790285658@qq.com |
045a4d6f603a1051e7c056e2c2ab880df0ca044e | 3abc1fef99ac6ce0b845a1090fae7f6875fee729 | /src/ralph/networks/migrations/0015_auto_20211115_1125.py | d2dee365fd624fe3adacf9beef409bf52b18c93a | [
"Apache-2.0"
] | permissive | allegro/ralph | 5ff9165a202e836061c99e8af20214e0d651622f | b4a72356f527b1f12c7babd7465d2d7fa3ffb0d3 | refs/heads/ng | 2023-09-02T01:13:43.672554 | 2023-09-01T09:48:38 | 2023-09-01T09:48:38 | 4,359,038 | 1,970 | 617 | Apache-2.0 | 2023-09-01T09:44:39 | 2012-05-17T14:04:57 | Python | UTF-8 | Python | false | false | 540 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import ralph.lib.mixins.fields
class Migration(migrations.Migration):
dependencies = [
('networks', '0014_auto_20171009_1030'),
]
operations = [
migrations.AlterField(
model_name='ipaddress',
name='hostname',
field=ralph.lib.mixins.fields.NullableCharFieldWithAutoStrip(verbose_name='hostname', max_length=255, blank=True, null=True, default=None),
),
]
| [
"pawel.szulc@allegro.pl"
] | pawel.szulc@allegro.pl |
b8f80033c3fb415c6d1bab057b01540bdfb52c63 | 99d98b1fa350dd118af3b060f5df9478dcf5713c | /pogom/account.py | cc6ee7bdd193f4aa5f56211cfd3a6f382e5799d2 | [] | no_license | animanmaster/ShuckleTools | ab512fcc6efe93b91c4364bb51e3703674c0f301 | ddeae3e989a89ddf8b4478697b4e623d7bca8964 | refs/heads/master | 2021-05-08T16:08:29.856562 | 2018-02-02T15:01:50 | 2018-02-02T15:01:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 17,144 | py | #!/usr/bin/python
# -*- coding: utf-8 -*-
import asyncio
import logging
import random
import time
from aiopogo.exceptions import AuthException, NianticIPBannedException, BadRPCException
from .apiRequests import (send_generic_request, AccountBannedException,
req_call_with_retries)
class OutOfAccountsException:
"""We have run out of accounts and cannot serve more requests"""
def __init__(self):
pass
class ForcedApiException(Exception):
"""The API has been forced and we're stopping"""
def __init__(self):
pass
class TooManyLoginAttempts(Exception):
pass
class LoginSequenceFail(Exception):
pass
class BlindAcount(Exception):
def __init__(self, account):
self.account = account
def auth_provider(api):
try:
return api._auth_provider
except AttributeError:
return api.auth_provider
def is_login_required(api):
provider = auth_provider(api)
if provider and provider._access_token:
remaining_time = provider._access_token_expiry - time.time()
if remaining_time > 60:
logging.getLogger(__name__).debug('Credentials remain valid for another %f seconds.', remaining_time)
return False
return True
def getproxy(api):
return api.proxy
def setproxy(api,proxy):
api.proxy =proxy
# Use API to check the login status, and retry the login if possible.
async def check_login(args, account, api, proxy_url, proceed):
# Logged in? Enough time left? Cool!
if not is_login_required(api):
return True
log = logging.LoggerAdapter(logging.getLogger(__name__), {'worker_name': account['username']})
# Try to login. Repeat a few times, but don't get stuck here.
num_tries = 0
#if is_forced_version(proxy_url):
# raise ForcedApiException()
current_proxy = getproxy(api)
if proxy_url:
log.info("Using PTC proxy {} for login".format(str(proxy_url)))
api.proxy = proxy_url
try:
# One initial try + login_retries.
while num_tries < (args.login_retries + 1):
try:
await api.set_authentication(
provider=account['auth_service'],
username=account['username'],
password=account['password'])
# Success!
break
except AuthException:
num_tries += 1
log.warning(
('Failed to login to Pokemon Go with account %s and proxy %s. ' +
'Trying again in %g seconds.'),
account['username'], str(proxy_url), args.login_delay)
await asyncio.sleep(args.login_delay)
if num_tries > args.login_retries:
log.error(
('Failed to login to Pokemon Go with account %s in ' +
'%d tries with proxy %s. Giving up.'),
account['username'], num_tries, str(proxy_url))
raise TooManyLoginAttempts('Exceeded login attempts.')
finally:
setproxy(api, current_proxy)
await asyncio.sleep(random.uniform(2, 4))
# Simulate login sequence.
try:
return await rpc_login_sequence(args, api, account, proceed)
except NianticIPBannedException:
log.info("IP seems to be NIANTIC banned {}".format(str(current_proxy)))
raise
# Simulate real app via login sequence.
async def rpc_login_sequence(args, api, account, proceed):
total_req = 0
app_version = 8900
log = logging.LoggerAdapter(logging.getLogger(__name__), {'worker_name': account['username']})
# 1 - Make an empty request to mimick real app behavior.
log.debug('Starting RPC login sequence...')
try:
req = api.create_request()
await req_call_with_retries(req, log)
total_req += 1
await asyncio.sleep(random.uniform(.43, .97))
except Exception as e:
log.exception('Login for account %s failed.'
+ ' Exception in call request: %s.',
account['username'],
e)
raise LoginSequenceFail('Failed during empty request in login'
+ ' sequence for account {}.'.format(
account['username']))
# 2 - Get player information.
log.debug('Fetching player information...')
try:
req = api.create_request()
req.get_player(player_locale=args.player_locale)
resp = await req_call_with_retries(req, log)
parse_get_player(account, resp)
warning_ = account['warning']
total_req += 1
await asyncio.sleep(random.uniform(.53, 1.1))
if warning_:
log.warning('Account %s has received a warning.',
account['username'])
except Exception as e:
log.exception('Login for account %s failed. Exception in ' +
'player request: %s.',
account['username'],
e)
raise LoginSequenceFail('Failed while retrieving player information in'
+ ' login sequence for account {}.'.format(
account['username']))
# 3 - Get remote config version.
log.debug('Downloading remote config version...')
old_config = account.get('remote_config', {})
try:
req = api.create_request()
req.download_remote_config_version(platform=1,
app_version=app_version)
await send_generic_request(req, account, settings=True, buddy=False,
inbox=False)
total_req += 1
await asyncio.sleep(random.uniform(.53, 1.1))
except BadRPCException as bre:
raise AccountBannedException
except AccountBannedException as abe:
raise abe
except Exception as e:
log.exception('Error while downloading remote config: %s.', e)
raise LoginSequenceFail('Failed while getting remote config version in'
+ ' login sequence for account {}.'.format(
account['username']))
if not await proceed(account):
log.info('Told not to proceed with login sequence for %s', account['username'])
return False
# 4 - Get asset digest.
log.debug('Fetching asset digest...')
config = account.get('remote_config', {})
if config.get('asset_time', 0) > old_config.get('asset_time', 0):
i = random.randint(0, 3)
req_count = 0
result = 2
page_offset = 0
page_timestamp = 0
await asyncio.sleep(random.uniform(.7, 1.2))
while result == 2:
req = api.create_request()
req.get_asset_digest(
platform=1,
app_version=app_version,
paginate=True,
page_offset=page_offset,
page_timestamp=page_timestamp)
resp = await send_generic_request(req, account, settings=True,
buddy=False, inbox=False)
req_count += 1
total_req += 1
if i > 2:
await asyncio.sleep(random.uniform(1.4, 1.6))
i = 0
else:
i += 1
await asyncio.sleep(random.uniform(.3, .5))
try:
# Re-use variable name. Also helps GC.
resp = resp['GET_ASSET_DIGEST']
except KeyError:
break
result = resp.result
page_offset = resp.page_offset
page_timestamp = resp.timestamp_ms
log.debug('Completed %d requests to get asset digest.',
req_count)
# 5 - Get item templates.
log.debug('Fetching item templates...')
if config.get('template_time', 0) > old_config.get('template_time', 0):
i = random.randint(0, 3)
req_count = 0
result = 2
page_offset = 0
page_timestamp = 0
while result == 2:
req = api.create_request()
req.download_item_templates(
paginate=True,
page_offset=page_offset,
page_timestamp=page_timestamp)
resp = await send_generic_request(req, account, settings=True,
buddy=False, inbox=False)
req_count += 1
total_req += 1
if i > 2:
await asyncio.sleep(random.uniform(1.4, 1.6))
i = 0
else:
i += 1
await asyncio.sleep(random.uniform(.25, .5))
try:
# Re-use variable name. Also helps GC.
resp = resp['responses']['DOWNLOAD_ITEM_TEMPLATES']
except KeyError:
break
result = resp.result
page_offset = resp.page_offset
page_timestamp = resp.timestamp_ms
log.debug('Completed %d requests to download'
+ ' item templates.', req_count)
# Check tutorial completion.
if not all(x in account['tutorials'] for x in (0, 1, 3, 4, 7)):
log.info('Completing tutorial steps for %s.', account['username'])
await complete_tutorial(args, api, account, log)
else:
log.debug('Account %s already did the tutorials.', account['username'])
# 6 - Get player profile.
log.debug('Fetching player profile...')
try:
req = api.create_request()
req.get_player_profile()
await send_generic_request(req, account, settings=True, inbox=False)
total_req += 1
await asyncio.sleep(random.uniform(.2, .3))
except Exception as e:
log.exception('Login for account %s failed. Exception occurred ' +
'while fetching player profile: %s.',
account['username'],
e)
raise LoginSequenceFail('Failed while getting player profile in'
+ ' login sequence for account {}.'.format(
account['username']))
log.debug('Retrieving Store Items...')
try: # 7 - Make an empty request to retrieve store items.
req = api.create_request()
req.get_store_items()
await req_call_with_retries(req, log)
total_req += 1
await asyncio.sleep(random.uniform(.6, 1.1))
except Exception as e:
log.exception('Login for account %s failed. Exception in ' +
'retrieving Store Items: %s.', account['username'],
e)
raise LoginSequenceFail('Failed during login sequence.')
# 8 - Check if there are level up rewards to claim.
log.debug('Checking if there are level up rewards to claim...')
try:
req = api.create_request()
req.level_up_rewards(level=account['level'])
await send_generic_request(req, account, settings=True)
total_req += 1
await asyncio.sleep(random.uniform(.45, .7))
except Exception as e:
log.exception('Login for account %s failed. Exception occurred ' +
'while fetching level-up rewards: %s.',
account['username'],
e)
raise LoginSequenceFail('Failed while getting level-up rewards in'
+ ' login sequence for account {}.'.format(
account['username']))
log.info('RPC login sequence for account %s successful with %s requests.',
account['username'],
total_req)
await asyncio.sleep(random.uniform(3, 5))
if account['buddy'] == 0 and len(account['pokemons']) > 0:
poke_id = random.choice(list(account['pokemons'].keys()))
req = api.create_request()
req.set_buddy_pokemon(pokemon_id=poke_id)
log.debug('Setting buddy pokemon for %s.', account['username'])
await send_generic_request(req, account)
await asyncio.sleep(random.uniform(10, 20))
return True
# Complete minimal tutorial steps.
# API argument needs to be a logged in API instance.
# TODO: Check if game client bundles these requests, or does them separately.
async def complete_tutorial(args, api, account, log):
tutorial_state = account['tutorials']
if 0 not in tutorial_state:
await asyncio.sleep(random.uniform(1, 5))
req = api.create_request()
req.mark_tutorial_complete(tutorials_completed=(0,))
log.debug('Sending 0 tutorials_completed for %s.', account['username'])
await send_generic_request(req, account, buddy=False, inbox=False)
await asyncio.sleep(random.uniform(0.5, 0.6))
req = api.create_request()
req.get_player(player_locale=args.player_locale)
await send_generic_request(req, account, buddy=False, inbox=False)
if 1 not in tutorial_state:
await asyncio.sleep(random.uniform(5, 12))
req = api.create_request()
req.set_avatar(player_avatar={
'hair': random.randint(1, 5),
'shirt': random.randint(1, 3),
'pants': random.randint(1, 2),
'shoes': random.randint(1, 6),
'avatar': random.randint(0, 1),
'eyes': random.randint(1, 4),
'backpack': random.randint(1, 5)
})
log.debug('Sending set random player character request for %s.',
account['username'])
await send_generic_request(req, account, buddy=False, inbox=False)
await asyncio.sleep(random.uniform(0.3, 0.5))
req = api.create_request()
req.mark_tutorial_complete(tutorials_completed=(1,))
log.debug('Sending 1 tutorials_completed for %s.', account['username'])
await send_generic_request(req, account, buddy=False, inbox=False)
await asyncio.sleep(random.uniform(0.5, 0.6))
req = api.create_request()
req.get_player_profile()
log.debug('Fetching player profile for %s...', account['username'])
await send_generic_request(req, account, inbox=False)
if 3 not in tutorial_state:
await asyncio.sleep(random.uniform(1, 1.5))
req = api.create_request()
req.get_download_urls(asset_id=[
'1a3c2816-65fa-4b97-90eb-0b301c064b7a/1477084786906000',
'aa8f7687-a022-4773-b900-3a8c170e9aea/1477084794890000',
'e89109b0-9a54-40fe-8431-12f7826c8194/1477084802881000'])
log.debug('Grabbing some game assets.')
await send_generic_request(req, account, inbox=False)
await asyncio.sleep(random.uniform(6, 13))
req = api.create_request()
starter = random.choice((1, 4, 7))
req.encounter_tutorial_complete(pokemon_id=starter)
log.debug('Catching the starter for %s.', account['username'])
await send_generic_request(req, account, inbox=False)
await asyncio.sleep(random.uniform(0.5, 0.6))
req = api.create_request()
req.get_player(player_locale=args.player_locale)
await send_generic_request(req, account, inbox=False)
if 4 not in tutorial_state:
await asyncio.sleep(random.uniform(5, 12))
req = api.create_request()
req.claim_codename(codename=account['username'])
log.debug('Claiming codename for %s.', account['username'])
await send_generic_request(req, account, inbox=False)
await asyncio.sleep(0.1)
req = api.create_request()
req.get_player(player_locale=args.player_locale)
await send_generic_request(req, account, inbox=False)
await asyncio.sleep(random.uniform(1, 1.3))
req = api.create_request()
req.mark_tutorial_complete(tutorials_completed=(4,))
log.debug('Sending 4 tutorials_completed for %s.', account['username'])
await send_generic_request(req, account, inbox=False)
if 7 not in tutorial_state:
await asyncio.sleep(random.uniform(4, 10))
req = api.create_request()
req.mark_tutorial_complete(tutorials_completed=(7,))
log.debug('Sending 7 tutorials_completed for %s.', account['username'])
await send_generic_request(req, account, inbox=False)
# Sleeping before we start scanning to avoid Niantic throttling.
log.debug('And %s is done. Wait for a second, to avoid throttle.',
account['username'])
await asyncio.sleep(random.uniform(2, 4))
return True
def parse_get_player(account, api_response):
if 'GET_PLAYER' in api_response:
player_ = api_response['GET_PLAYER']
player_data = player_.player_data
account['warning'] = player_.warn
account['tutorials'] = player_data.tutorial_state
account['buddy'] = player_data.buddy_pokemon.id
account['codename'] = player_data.username
account['remaining_codename_claims'] = player_data.remaining_codename_claims
account['team'] = player_data.team
| [
"8nmojd+l1dqz2bvl@sharklasers.com"
] | 8nmojd+l1dqz2bvl@sharklasers.com |
d7c4ef7b34329b7553264d71940737cdf5fc1cdd | 29bd55d171733586f24f42151d44f4312b6a610e | /keras/keras102_lamda.py | 91b649ecbf888df8c63544cd18c8276d7f322857 | [] | no_license | votus777/AI_study | 66ab1da2b8e760d0c52b0ed2b2f74158e14f435b | f4e38d95690c8ee84d87c02dc20a1ea59c495f04 | refs/heads/master | 2022-12-04T15:52:14.855624 | 2020-08-20T06:12:52 | 2020-08-20T06:12:52 | 262,975,960 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 196 | py |
gradient = lambda x : 2*x - 4
def gradient2(x) :
temp = 2*x - 4
return temp
# 두 개의 다른 표현식이다.
x = 3
print(gradient(x))
print(gradient2(x))
| [
"votus777@users.noreply.github.com"
] | votus777@users.noreply.github.com |
dd763d08e04d4800256740f5e2a41d118a8db67b | 9032dfaea70868d424fded8237c17637d9146388 | /115/115.py | 8084e3b7f15f4b478e341d5d4a67a17ad0403163 | [] | no_license | pianowow/projecteuler | 20e136595c9fe2945aa9f078a32b8242b8bef783 | c09a2e1a6889b9c89bc4bd9c56c2bbc25303e7ac | refs/heads/master | 2020-04-05T23:17:58.075294 | 2013-04-01T14:16:51 | 2013-04-01T14:16:51 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 734 | py | #-------------------------------------------------------------------------------
# Name: module1
# Purpose:
#
# Author: CHRISTOPHER_IRWIN
#
# Created: 06/09/2012
def count(m, gap, cache):
if (gap < m):
return 0
if (cache[gap] != -1):
return cache[gap]
total = 0
for len in range(m,gap+1):
maxpos = gap - len + 1
total += maxpos
for pos in range(0,maxpos+1):
total += count(m, gap - len - pos - 1, cache)
cache[gap] = total
return total
def F(m, n):
cache = [-1]*(n+1)
cache[m] = 1
return 1 + count(m, n, cache)
BLOCK_LEN, LIMIT = 50, 10**6
answer = BLOCK_LEN
while (F(BLOCK_LEN, answer) <= LIMIT):
answer+=1
print (answer)
| [
"pianowow@gmail.com"
] | pianowow@gmail.com |
1e793b7f5eb908ffbcc3170fb66bcd0a3ab034e0 | e2c3cfdb246671dd23c961b23bfbcc846a56b225 | /rockpaperscissors.py | fe6a24f2b932cdfb99b35c89386e196859de9153 | [] | no_license | vins89/Assingment1_math | 2ac944c57d0c4ae693a97ceb804d9de498f2d6c3 | 6b6c96cb93832a61032ac8f1f5b056d87355b8bf | refs/heads/master | 2021-01-11T14:05:12.400757 | 2017-06-29T02:48:22 | 2017-06-29T02:48:22 | 94,954,694 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 568 | py |
a = ['rock', 'paper', 'scissors']
b = ['rock', 'paper', 'scissors']
x = raw_input("user 1: rock, paper, scissors?")
y = raw_input("user 2: rock, paper scissors?")
if x == y :
print "its a tie"
elif x == "rock" and y == "paper":
print "y is winner"
elif x == "rock" and y == "scissors":
print "y is winner"
elif x == "paper" and y == "rock":
print "x is winner"
elif x == "paper" and y == "scissors":
print "y is winner"
elif x == "scissors" and y == "rock":
print "y is winner"
elif x == "scissors" and y == "paper":
print "x is winner"
| [
"noreply@github.com"
] | noreply@github.com |
4563a035a826fdf952427cace81a88aef1bd0102 | ad491c40c26d2d4eca650afed301d38715e33510 | /mod3/3.4.py | 395a808da7ca3ff001c742181f6e8285dc04982b | [] | no_license | RaisZzz/AaDS_1_184_2021 | c1fbd936e8e11d34b2eb1f2a0dea8cad1735bc4e | eaccac768ac8b3758ff81161da1dff02f2bf14c3 | refs/heads/main | 2023-05-05T13:56:58.275708 | 2021-05-28T10:13:10 | 2021-05-28T10:13:10 | 338,696,848 | 0 | 0 | null | 2021-02-14T00:10:14 | 2021-02-14T00:10:14 | null | UTF-8 | Python | false | false | 738 | py | def cyclic_string(s):
lenght = len(s)
k = [0] * lenght
for i in range(lenght - 1):
j = k[i]
while (j > 0) and (s[i + 1] != s[j]):
j = k[j - 1]
if (s[i + 1] == s[j]):
k[i+1] = j + 1
else:
k[i + 1] = 0
return k
inp = str(input())
lenght = len(inp) # lenght присваивает число равное длине вводимой строки
cyclic = cyclic_string(inp) # Переменной cyclic передаётся значение, полученное в функции cyclic_string
print(lenght - cyclic[-1]) # На экран выводится кол-во подстрок из котороых состроит строка | [
"noreply@github.com"
] | noreply@github.com |
68e38d1f78e67803869ed7a572190babe8b2f9b7 | 41de4210af23a8a8a3ca7dd090bb51faecf4a0c8 | /lib/python3.5/site-packages/statsmodels/regression/recursive_ls.py | 9765f8474537019ac360f604b9cc30b332e0d99c | [
"Python-2.0"
] | permissive | randybrown-github/ziplineMacOS | 42a0c2bfca2a54baa03d2803dc41317647811285 | eb5872c0903d653e19f259f0800fb7aecee0ee5c | refs/heads/master | 2022-11-07T15:51:39.808092 | 2020-06-18T20:06:42 | 2020-06-18T20:06:42 | 272,631,387 | 0 | 1 | null | 2022-11-02T03:21:45 | 2020-06-16T06:48:53 | Python | UTF-8 | Python | false | false | 26,190 | py | """
Recursive least squares model
Author: Chad Fulton
License: Simplified-BSD
"""
from __future__ import division, absolute_import, print_function
from warnings import warn
from statsmodels.compat.collections import OrderedDict
import numpy as np
import pandas as pd
from statsmodels.regression.linear_model import OLS
from statsmodels.tools.data import _is_using_pandas
from statsmodels.tsa.statespace.mlemodel import (
MLEModel, MLEResults, MLEResultsWrapper)
from statsmodels.tools.tools import Bunch
from statsmodels.tools.decorators import cache_readonly, resettable_cache
import statsmodels.base.wrapper as wrap
# Columns are alpha = 0.1, 0.05, 0.025, 0.01, 0.005
_cusum_squares_scalars = np.array([
[1.0729830, 1.2238734, 1.3581015, 1.5174271, 1.6276236],
[-0.6698868, -0.6700069, -0.6701218, -0.6702672, -0.6703724],
[-0.5816458, -0.7351697, -0.8858694, -1.0847745, -1.2365861]
])
class RecursiveLS(MLEModel):
r"""
Recursive least squares
Parameters
----------
endog : array_like
The observed time-series process :math:`y`
exog : array_like
Array of exogenous regressors, shaped nobs x k.
Notes
-----
Recursive least squares (RLS) corresponds to expanding window ordinary
least squares (OLS).
This model applies the Kalman filter to compute recursive estimates of the
coefficients and recursive residuals.
References
----------
.. [*] Durbin, James, and Siem Jan Koopman. 2012.
Time Series Analysis by State Space Methods: Second Edition.
Oxford University Press.
"""
def __init__(self, endog, exog, **kwargs):
# Standardize data
if not _is_using_pandas(endog, None):
endog = np.asanyarray(endog)
exog_is_using_pandas = _is_using_pandas(exog, None)
if not exog_is_using_pandas:
exog = np.asarray(exog)
# Make sure we have 2-dimensional array
if exog.ndim == 1:
if not exog_is_using_pandas:
exog = exog[:, None]
else:
exog = pd.DataFrame(exog)
self.k_exog = exog.shape[1]
# Handle coefficient initialization
# By default, do not calculate likelihood while it is controlled by
# diffuse initial conditions.
kwargs.setdefault('loglikelihood_burn', self.k_exog)
kwargs.setdefault('initialization', 'approximate_diffuse')
kwargs.setdefault('initial_variance', 1e9)
# Initialize the state space representation
super(RecursiveLS, self).__init__(
endog, k_states=self.k_exog, exog=exog, **kwargs
)
# Setup the state space representation
self['design'] = self.exog[:, :, None].T
self['transition'] = np.eye(self.k_states)
# Notice that the filter output does not depend on the measurement
# variance, so we set it here to 1
self['obs_cov', 0, 0] = 1.
@classmethod
def from_formula(cls, formula, data, subset=None):
"""
Not implemented for state space models
"""
return super(MLEModel, cls).from_formula(formula, data, subset)
def fit(self):
"""
Fits the model by application of the Kalman filter
Returns
-------
RecursiveLSResults
"""
# Get the smoother results with an arbitrary measurement variance
smoother_results = self.smooth(return_ssm=True)
# Compute the MLE of sigma2 (see Harvey, 1989 equation 4.2.5)
resid = smoother_results.standardized_forecasts_error[0]
sigma2 = (np.inner(resid, resid) /
(self.nobs - self.loglikelihood_burn))
# Now construct a results class, where the params are the final
# estimates of the regression coefficients
self['obs_cov', 0, 0] = sigma2
return self.smooth()
def filter(self, return_ssm=False, **kwargs):
# Get the state space output
result = super(RecursiveLS, self).filter([], transformed=True,
cov_type='none',
return_ssm=True, **kwargs)
# Wrap in a results object
if not return_ssm:
params = result.filtered_state[:, -1]
cov_kwds = {
'custom_cov_type': 'nonrobust',
'custom_cov_params': result.filtered_state_cov[:, :, -1],
'custom_description': ('Parameters and covariance matrix'
' estimates are RLS estimates'
' conditional on the entire sample.')
}
result = RecursiveLSResultsWrapper(
RecursiveLSResults(self, params, result, cov_type='custom',
cov_kwds=cov_kwds)
)
return result
def smooth(self, return_ssm=False, **kwargs):
# Get the state space output
result = super(RecursiveLS, self).smooth([], transformed=True,
cov_type='none',
return_ssm=True, **kwargs)
# Wrap in a results object
if not return_ssm:
params = result.filtered_state[:, -1]
cov_kwds = {
'custom_cov_type': 'nonrobust',
'custom_cov_params': result.filtered_state_cov[:, :, -1],
'custom_description': ('Parameters and covariance matrix'
' estimates are RLS estimates'
' conditional on the entire sample.')
}
result = RecursiveLSResultsWrapper(
RecursiveLSResults(self, params, result, cov_type='custom',
cov_kwds=cov_kwds)
)
return result
@property
def param_names(self):
return self.exog_names
@property
def start_params(self):
# Only parameter is the measurement disturbance standard deviation
return np.zeros(0)
def update(self, params, **kwargs):
"""
Update the parameters of the model
Updates the representation matrices to fill in the new parameter
values.
Parameters
----------
params : array_like
Array of new parameters.
transformed : boolean, optional
Whether or not `params` is already transformed. If set to False,
`transform_params` is called. Default is True..
Returns
-------
params : array_like
Array of parameters.
"""
pass
class RecursiveLSResults(MLEResults):
"""
Class to hold results from fitting a recursive least squares model.
Parameters
----------
model : RecursiveLS instance
The fitted model instance
Attributes
----------
specification : dictionary
Dictionary including all attributes from the recursive least squares
model instance.
See Also
--------
statsmodels.tsa.statespace.kalman_filter.FilterResults
statsmodels.tsa.statespace.mlemodel.MLEResults
"""
def __init__(self, model, params, filter_results, cov_type='opg',
**kwargs):
super(RecursiveLSResults, self).__init__(
model, params, filter_results, cov_type, **kwargs)
self.df_resid = np.inf # attribute required for wald tests
# Save _init_kwds
self._init_kwds = self.model._get_init_kwds()
# Save the model specification
self.specification = Bunch(**{
'k_exog': self.model.k_exog})
@property
def recursive_coefficients(self):
"""
Estimates of regression coefficients, recursively estimated
Returns
-------
out: Bunch
Has the following attributes:
- `filtered`: a time series array with the filtered estimate of
the component
- `filtered_cov`: a time series array with the filtered estimate of
the variance/covariance of the component
- `smoothed`: a time series array with the smoothed estimate of
the component
- `smoothed_cov`: a time series array with the smoothed estimate of
the variance/covariance of the component
- `offset`: an integer giving the offset in the state vector where
this component begins
"""
out = None
spec = self.specification
start = offset = 0
end = offset + spec.k_exog
out = Bunch(
filtered=self.filtered_state[start:end],
filtered_cov=self.filtered_state_cov[start:end, start:end],
smoothed=None, smoothed_cov=None,
offset=offset
)
if self.smoothed_state is not None:
out.smoothed = self.smoothed_state[start:end]
if self.smoothed_state_cov is not None:
out.smoothed_cov = (
self.smoothed_state_cov[start:end, start:end])
return out
@cache_readonly
def resid_recursive(self):
"""
Recursive residuals
Returns
-------
resid_recursive : array_like
An array of length `nobs` holding the recursive
residuals.
Notes
-----
The first `k_exog` residuals are typically unreliable due to
initialization.
"""
# See Harvey (1989) section 5.4; he defines the standardized
# innovations in 5.4.1, but they have non-unit variance, whereas
# the standardized forecast errors assume unit variance. To convert
# to Harvey's definition, we need to multiply by the standard
# deviation.
return (self.filter_results.standardized_forecasts_error.squeeze() *
self.filter_results.obs_cov[0, 0]**0.5)
@cache_readonly
def cusum(self):
r"""
Cumulative sum of standardized recursive residuals statistics
Returns
-------
cusum : array_like
An array of length `nobs - k_exog` holding the
CUSUM statistics.
Notes
-----
The CUSUM statistic takes the form:
.. math::
W_t = \frac{1}{\hat \sigma} \sum_{j=k+1}^t w_j
where :math:`w_j` is the recursive residual at time :math:`j` and
:math:`\hat \sigma` is the estimate of the standard deviation
from the full sample.
Excludes the first `k_exog` datapoints.
Due to differences in the way :math:`\hat \sigma` is calculated, the
output of this function differs slightly from the output in the
R package strucchange and the Stata contributed .ado file cusum6. The
calculation in this package is consistent with the description of
Brown et al. (1975)
References
----------
.. [*] Brown, R. L., J. Durbin, and J. M. Evans. 1975.
"Techniques for Testing the Constancy of
Regression Relationships over Time."
Journal of the Royal Statistical Society.
Series B (Methodological) 37 (2): 149-92.
"""
llb = self.loglikelihood_burn
return (np.cumsum(self.resid_recursive[self.loglikelihood_burn:]) /
np.std(self.resid_recursive[llb:], ddof=1))
@cache_readonly
def cusum_squares(self):
r"""
Cumulative sum of squares of standardized recursive residuals
statistics
Returns
-------
cusum_squares : array_like
An array of length `nobs - k_exog` holding the
CUSUM of squares statistics.
Notes
-----
The CUSUM of squares statistic takes the form:
.. math::
s_t = \left ( \sum_{j=k+1}^t w_j^2 \right ) \Bigg /
\left ( \sum_{j=k+1}^T w_j^2 \right )
where :math:`w_j` is the recursive residual at time :math:`j`.
Excludes the first `k_exog` datapoints.
References
----------
.. [*] Brown, R. L., J. Durbin, and J. M. Evans. 1975.
"Techniques for Testing the Constancy of
Regression Relationships over Time."
Journal of the Royal Statistical Society.
Series B (Methodological) 37 (2): 149-92.
"""
numer = np.cumsum(self.resid_recursive[self.loglikelihood_burn:]**2)
denom = numer[-1]
return numer / denom
def plot_recursive_coefficient(self, variables=0, alpha=0.05,
legend_loc='upper left', fig=None,
figsize=None):
r"""
Plot the recursively estimated coefficients on a given variable
Parameters
----------
variables : int or str or iterable of int or string, optional
Integer index or string name of the variable whose coefficient will
be plotted. Can also be an iterable of integers or strings. Default
is the first variable.
alpha : float, optional
The confidence intervals for the coefficient are (1 - alpha) %
legend_loc : string, optional
The location of the legend in the plot. Default is upper left.
fig : Matplotlib Figure instance, optional
If given, subplots are created in this figure instead of in a new
figure. Note that the grid will be created in the provided
figure using `fig.add_subplot()`.
figsize : tuple, optional
If a figure is created, this argument allows specifying a size.
The tuple is (width, height).
Notes
-----
All plots contain (1 - `alpha`) % confidence intervals.
"""
# Get variables
if isinstance(variables, (int, str)):
variables = [variables]
k_variables = len(variables)
# If a string was given for `variable`, try to get it from exog names
exog_names = self.model.exog_names
for i in range(k_variables):
variable = variables[i]
if isinstance(variable, str):
variables[i] = exog_names.index(variable)
# Create the plot
from scipy.stats import norm
from statsmodels.graphics.utils import _import_mpl, create_mpl_fig
plt = _import_mpl()
fig = create_mpl_fig(fig, figsize)
for i in range(k_variables):
variable = variables[i]
ax = fig.add_subplot(k_variables, 1, i + 1)
# Get dates, if applicable
if hasattr(self.data, 'dates') and self.data.dates is not None:
dates = self.data.dates._mpl_repr()
else:
dates = np.arange(self.nobs)
llb = self.loglikelihood_burn
# Plot the coefficient
coef = self.recursive_coefficients
ax.plot(dates[llb:], coef.filtered[variable, llb:],
label='Recursive estimates: %s' % exog_names[variable])
# Legend
handles, labels = ax.get_legend_handles_labels()
# Get the critical value for confidence intervals
if alpha is not None:
critical_value = norm.ppf(1 - alpha / 2.)
# Plot confidence intervals
std_errors = np.sqrt(coef.filtered_cov[variable, variable, :])
ci_lower = (
coef.filtered[variable] - critical_value * std_errors)
ci_upper = (
coef.filtered[variable] + critical_value * std_errors)
ci_poly = ax.fill_between(
dates[llb:], ci_lower[llb:], ci_upper[llb:], alpha=0.2
)
ci_label = ('$%.3g \\%%$ confidence interval'
% ((1 - alpha)*100))
# Only add CI to legend for the first plot
if i == 0:
# Proxy artist for fill_between legend entry
# See http://matplotlib.org/1.3.1/users/legend_guide.html
p = plt.Rectangle((0, 0), 1, 1,
fc=ci_poly.get_facecolor()[0])
handles.append(p)
labels.append(ci_label)
ax.legend(handles, labels, loc=legend_loc)
# Remove xticks for all but the last plot
if i < k_variables - 1:
ax.xaxis.set_ticklabels([])
fig.tight_layout()
return fig
def _cusum_significance_bounds(self, alpha, ddof=0, points=None):
"""
Parameters
----------
alpha : float, optional
The significance bound is alpha %.
ddof : int, optional
The number of periods additional to `k_exog` to exclude in
constructing the bounds. Default is zero. This is usually used
only for testing purposes.
points : iterable, optional
The points at which to evaluate the significance bounds. Default is
two points, beginning and end of the sample.
Notes
-----
Comparing against the cusum6 package for Stata, this does not produce
exactly the same confidence bands (which are produced in cusum6 by
lw, uw) because they burn the first k_exog + 1 periods instead of the
first k_exog. If this change is performed
(so that `tmp = (self.nobs - llb - 1)**0.5`), then the output here
matches cusum6.
The cusum6 behavior does not seem to be consistent with
Brown et al. (1975); it is likely they did that because they needed
three initial observations to get the initial OLS estimates, whereas
we do not need to do that.
"""
# Get the constant associated with the significance level
if alpha == 0.01:
scalar = 1.143
elif alpha == 0.05:
scalar = 0.948
elif alpha == 0.10:
scalar = 0.950
else:
raise ValueError('Invalid significance level.')
# Get the points for the significance bound lines
llb = self.loglikelihood_burn
tmp = (self.nobs - llb - ddof)**0.5
upper_line = lambda x: scalar * tmp + 2 * scalar * (x - llb) / tmp
if points is None:
points = np.array([llb, self.nobs])
return -upper_line(points), upper_line(points)
def plot_cusum(self, alpha=0.05, legend_loc='upper left',
fig=None, figsize=None):
r"""
Plot the CUSUM statistic and significance bounds.
Parameters
----------
alpha : float, optional
The plotted significance bounds are alpha %.
legend_loc : string, optional
The location of the legend in the plot. Default is upper left.
fig : Matplotlib Figure instance, optional
If given, subplots are created in this figure instead of in a new
figure. Note that the grid will be created in the provided
figure using `fig.add_subplot()`.
figsize : tuple, optional
If a figure is created, this argument allows specifying a size.
The tuple is (width, height).
Notes
-----
Evidence of parameter instability may be found if the CUSUM statistic
moves out of the significance bounds.
References
----------
.. [*] Brown, R. L., J. Durbin, and J. M. Evans. 1975.
"Techniques for Testing the Constancy of
Regression Relationships over Time."
Journal of the Royal Statistical Society.
Series B (Methodological) 37 (2): 149-92.
"""
# Create the plot
from statsmodels.graphics.utils import _import_mpl, create_mpl_fig
plt = _import_mpl()
fig = create_mpl_fig(fig, figsize)
ax = fig.add_subplot(1, 1, 1)
# Get dates, if applicable
if hasattr(self.data, 'dates') and self.data.dates is not None:
dates = self.data.dates._mpl_repr()
else:
dates = np.arange(self.nobs)
llb = self.loglikelihood_burn
# Plot cusum series and reference line
ax.plot(dates[llb:], self.cusum, label='CUSUM')
ax.hlines(0, dates[llb], dates[-1], color='k', alpha=0.3)
# Plot significance bounds
lower_line, upper_line = self._cusum_significance_bounds(alpha)
ax.plot([dates[llb], dates[-1]], upper_line, 'k--',
label='%d%% significance' % (alpha * 100))
ax.plot([dates[llb], dates[-1]], lower_line, 'k--')
ax.legend(loc=legend_loc)
return fig
def _cusum_squares_significance_bounds(self, alpha, points=None):
"""
Notes
-----
Comparing against the cusum6 package for Stata, this does not produce
exactly the same confidence bands (which are produced in cusum6 by
lww, uww) because they use a different method for computing the
critical value; in particular, they use tabled values from
Table C, pp. 364-365 of "The Econometric Analysis of Time Series"
Harvey, (1990), and use the value given to 99 observations for any
larger number of observations. In contrast, we use the approximating
critical values suggested in Edgerton and Wells (1994) which allows
computing relatively good approximations for any number of
observations.
"""
# Get the approximate critical value associated with the significance
# level
llb = self.loglikelihood_burn
n = 0.5 * (self.nobs - llb) - 1
try:
ix = [0.1, 0.05, 0.025, 0.01, 0.005].index(alpha / 2)
except ValueError:
raise ValueError('Invalid significance level.')
scalars = _cusum_squares_scalars[:, ix]
crit = scalars[0] / n**0.5 + scalars[1] / n + scalars[2] / n**1.5
# Get the points for the significance bound lines
if points is None:
points = np.array([llb, self.nobs])
line = (points - llb) / (self.nobs - llb)
return line - crit, line + crit
def plot_cusum_squares(self, alpha=0.05, legend_loc='upper left',
fig=None, figsize=None):
r"""
Plot the CUSUM of squares statistic and significance bounds.
Parameters
----------
alpha : float, optional
The plotted significance bounds are alpha %.
legend_loc : string, optional
The location of the legend in the plot. Default is upper left.
fig : Matplotlib Figure instance, optional
If given, subplots are created in this figure instead of in a new
figure. Note that the grid will be created in the provided
figure using `fig.add_subplot()`.
figsize : tuple, optional
If a figure is created, this argument allows specifying a size.
The tuple is (width, height).
Notes
-----
Evidence of parameter instability may be found if the CUSUM of squares
statistic moves out of the significance bounds.
Critical values used in creating the significance bounds are computed
using the approximate formula of [1]_.
References
----------
.. [*] Brown, R. L., J. Durbin, and J. M. Evans. 1975.
"Techniques for Testing the Constancy of
Regression Relationships over Time."
Journal of the Royal Statistical Society.
Series B (Methodological) 37 (2): 149-92.
.. [1] Edgerton, David, and Curt Wells. 1994.
"Critical Values for the Cusumsq Statistic
in Medium and Large Sized Samples."
Oxford Bulletin of Economics and Statistics 56 (3): 355-65.
"""
# Create the plot
from statsmodels.graphics.utils import _import_mpl, create_mpl_fig
plt = _import_mpl()
fig = create_mpl_fig(fig, figsize)
ax = fig.add_subplot(1, 1, 1)
# Get dates, if applicable
if hasattr(self.data, 'dates') and self.data.dates is not None:
dates = self.data.dates._mpl_repr()
else:
dates = np.arange(self.nobs)
llb = self.loglikelihood_burn
# Plot cusum series and reference line
ax.plot(dates[llb:], self.cusum_squares, label='CUSUM of squares')
ref_line = (np.arange(llb, self.nobs) - llb) / (self.nobs - llb)
ax.plot(dates[llb:], ref_line, 'k', alpha=0.3)
# Plot significance bounds
lower_line, upper_line = self._cusum_squares_significance_bounds(alpha)
ax.plot([dates[llb], dates[-1]], upper_line, 'k--',
label='%d%% significance' % (alpha * 100))
ax.plot([dates[llb], dates[-1]], lower_line, 'k--')
ax.legend(loc=legend_loc)
return fig
class RecursiveLSResultsWrapper(MLEResultsWrapper):
_attrs = {}
_wrap_attrs = wrap.union_dicts(MLEResultsWrapper._wrap_attrs,
_attrs)
_methods = {}
_wrap_methods = wrap.union_dicts(MLEResultsWrapper._wrap_methods,
_methods)
wrap.populate_wrapper(RecursiveLSResultsWrapper, RecursiveLSResults)
| [
"randybrown18@me.com"
] | randybrown18@me.com |
3e87a4ddd10506d80c44ca4532849331eefd3f4b | 1bebf42f17c558488fce0bea5c58b55fd049c286 | /django_table_filtering/wsgi.py | 6962142610ad722b2c01ceb12560021ec1f4c8a0 | [
"Unlicense"
] | permissive | ckbelvedere/django_table_filtering | 60ab100fde25e9fbe4e38f7e7b5b4257f45d08fa | d82b89a871779b6a000945da14455c9acb8c47bb | refs/heads/master | 2021-01-02T22:30:01.663587 | 2016-11-22T11:22:44 | 2016-11-22T11:22:44 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 421 | py | """
WSGI config for django_table_filtering project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/1.9/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "django_table_filtering.settings")
application = get_wsgi_application()
| [
"spapas@gmail.com"
] | spapas@gmail.com |
0ef00880b7d7440ce40aea7b5a35d200cc986ab3 | 7316069d259c7a2338ae1891bdbba6e46486b823 | /multithread/Counter.py | dc7862d5f83616cfc15af4aaae927415247e9151 | [] | no_license | GuoXi722/PyQtPractice | 07dbb77d36776d2e0e96a6aa69aeb5da8f58571d | 40ded82c2dc70864763e5e93dd0b2da57cb8dd18 | refs/heads/master | 2021-01-08T20:21:49.450035 | 2020-02-27T02:23:02 | 2020-02-27T02:23:02 | 242,132,335 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,446 | py | import sys
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import *
sec = 0
class WorkThread(QThread):
timer = pyqtSignal() # 每个1秒发送一次信号
end = pyqtSignal() # 计数完成后发送一次信号
def run(self):
while True:
self.sleep(1) # 休眠1秒
if sec == 5:
self.end.emit() # 发送end信号
break
self.timer.emit() # 发送timer信号
class Counter(QWidget):
def __init__(self):
super(Counter, self).__init__()
self.resize(300, 120)
self.setWindowTitle('使用线程类编写计数器')
layout = QVBoxLayout()
self.lcdNumber = QLCDNumber()
layout.addWidget(self.lcdNumber)
button = QPushButton('开始计数')
layout.addWidget(button)
self.workThread = WorkThread()
self.workThread.timer.connect(self.countTime)
self.workThread.end.connect(self.end)
button.clicked.connect(self.work)
self.setLayout(layout)
def countTime(self):
global sec
sec += 1
self.lcdNumber.display(sec)
def end(self):
QMessageBox.information(self, '消息', '计数结束', QMessageBox.Ok)
def work(self):
self.workThread.run()
if __name__ == '__main__':
app = QApplication(sys.argv)
window = Counter()
window.show()
sys.exit(app.exec_())
| [
"asaf227@126.com"
] | asaf227@126.com |
4e6bd8bdb3d4cdd0657398f4522a37fd91b11ea5 | 6d3daa58e4d804e1ef52c016aad26a6ed8dfb4e2 | /Wine Price Prediction.py | 9fb764e8a33db3411289fa50c37c7bdaacfae64b | [] | no_license | Tushaar28/Wine-Price-Prediction | a241a829d2bafaa0d68e6575cbaf46964a3f04ce | 9a0a202e09f207855273e4264e1b347a3f133752 | refs/heads/master | 2020-08-01T01:13:13.622337 | 2019-09-25T09:49:29 | 2019-09-25T09:49:29 | 210,810,802 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,534 | py | import numpy as np
import pandas as pd
import statsmodels.formula.api as sm
import matplotlib.pyplot as plt
get_ipython().run_line_magic('matplotlib', 'inline')
wine = pd.read_csv('https://storage.googleapis.com/dimensionless/Analytics/wine.csv')
wine.dtypes
wine.describe()
wine.head()
model1 = sm.ols(formula='Price ~ AGST',data=wine).fit() # Or model1 = sm.ols('Price ~ AGST',data=wine).fit()
plt.plot(wine['AGST'],wine['Price'],'ro')
plt.plot(wine['AGST'],model1.fittedvalues,'b')
plt.xlabel('AGST')
plt.ylabel('Price')
plt.title('Model-1 (Price ~ AGST)')
plt.show()
model1.summary()
# In[248]:
model1.params
# In[249]:
model1.resid
# ## Sum of Squared Errors
# In[250]:
SSE = sum(model1.resid ** 2)
SSE
# In[251]:
RMSE = np.sqrt(SSE / len(wine))
# In[252]:
RMSE
# # Linear Regression (two variables)
# In[253]:
model2 = sm.ols('Price ~ AGST + HarvestRain', data=wine).fit()
# In[254]:
model2.summary()
# ## Sum of Squared Errors
# In[255]:
SSE = sum(model2.resid ** 2)
# In[256]:
SSE
# In[257]:
SST = sum((wine['Price'] - np.mean(wine['Price'])) ** 2)
# In[258]:
SST
# # Linear Regression (all variables)
# In[259]:
model3 = sm.ols('Price ~ AGST + HarvestRain + WinterRain + Age + FrancePop', data=wine).fit()
# In[260]:
model3.summary()
# ## Sum of Squared Errors
# In[261]:
SSE = sum(model3.resid ** 2)
# In[262]:
SSE
# # Quick Question
# In[263]:
model_quick = sm.ols('Price~ HarvestRain + WinterRain',data=wine).fit()
# In[264]:
model_quick.summary()
# In[265]:
model_quick.params
# # Remove FrancePop
# In[266]:
model4 = sm.ols('Price ~ AGST + HarvestRain+WinterRain+Age', data=wine).fit()
# In[267]:
model4.summary()
# In[268]:
model3.summary()
# In[269]:
import statsmodels.api as sm_api
table = sm_api.stats.anova_lm(model3,model4)
# In[270]:
table
# # Correlations
# In[271]:
np.corrcoef(wine['WinterRain'],wine['Price'])[0][1]
# In[273]:
from scipy.stats.stats import pearsonr
pearsonr(wine['WinterRain'],wine['Price'])[0]
# In[274]:
np.corrcoef(wine['Age'], wine['FrancePop'])[0][1]
# In[275]:
pd.DataFrame.corr(wine)
# In[276]:
model5 = sm.ols('Price ~ AGST + HarvestRain + WinterRain', data=wine).fit()
# In[277]:
model5.summary()
# In[278]:
model6 = sm.ols('Price ~ AGST + HarvestRain + WinterRain+ FrancePop', data=wine).fit()
# In[279]:
model6.summary()
# In[280]:
model7 = sm.ols('Price~Age+FrancePop',data=wine).fit()
# In[281]:
model7.summary()
# In[282]:
wineTest = pd.read_csv("https://storage.googleapis.com/dimensionless/Analytics/wine_test.csv")
# In[283]:
wineTest.dtypes
# In[284]:
predictTest = model4.predict(wineTest)
# In[285]:
predictTest
# In[286]:
wineTest['Price']
# # Compute R-squared
# In[287]:
SSE = sum((wineTest['Price'] - predictTest) ** 2)
# In[288]:
SST = sum((wineTest['Price'] - np.mean(wine['Price'])) ** 2)
# In[289]:
1 - SSE / SST
# # Prediction using model2
# In[300]:
predict_model2 = model2.predict(wineTest)
# In[301]:
SSE = sum((wineTest['Price'] - predict_model2) ** 2)
# In[302]:
SST = sum((wineTest['Price'] - np.mean(wine['Price'])) ** 2)
# In[303]:
1 - SSE / SST
# In[304]:
wineTest.to_csv('wine_write.csv')
# # FeaturePlot
# In[305]:
fig, ax = plt.subplots(nrows=1,ncols=5,figsize=(15,2))
plt.subplot(151)
plt.plot(wine['WinterRain'] / 100,'ro')
plt.title('WinterRain')
plt.subplot(152)
plt.plot(wine['AGST'] / 100,'go')
plt.title('AGST')
plt.subplot(153)
plt.plot(wine['HarvestRain'] / 100,'bo')
plt.title('HarvestRain')
plt.subplot(154)
plt.plot(wine['Age'] / 100,'co')
plt.title('Age')
plt.subplot(155)
plt.plot(wine['FrancePop'] / 100,'ko')
plt.title('FrancePop')
fig.subplots_adjust(wspace=.6)
# # VIF
# In[159]:
from statsmodels.stats.outliers_influence import variance_inflation_factor
from patsy import dmatrices
# In[171]:
def dmatrices_custom(target,features,dataframe):
return dmatrices(target + '~' + features,dataframe,return_type='dataframe')
# In[176]:
def vif_factor(X_frame):
return [variance_inflation_factor(X_frame.values, i) for i in range(X.shape[1])]
# In[226]:
def show_vif(X):
vif = pd.DataFrame()
vif["VIF Factor"] = vif_factor(X)
vif["Features"] = X.columns
return vif[vif.columns.tolist()[::-1]][1:].T
# In[172]:
target = 'Price' ## Common target variable
# ## Model-2 (Price ~ AGST + HarvestRain)
# In[228]:
data = wine[['Price','AGST','HarvestRain']]
# In[229]:
features = 'AGST+HarvestRain'
# In[230]:
y, X = dmatrices_custom(target,features,data)
# In[231]:
show_vif(X)
# ## Model - 3 (Price ~ AGST + HarvestRain + WinterRain + Age + FrancePop)
# In[232]:
data = wine[['Price','AGST','HarvestRain','WinterRain','Age','FrancePop']]
# In[233]:
features = 'AGST+HarvestRain+WinterRain+Age+FrancePop'
# In[234]:
y, X = dmatrices_custom(target,features,data)
# In[235]:
show_vif(X)
# ## Model - 4 (Price ~ AGST + HarvestRain + WinterRain + Age)
# In[236]:
data = wine[['Price','AGST','HarvestRain','WinterRain','Age']]
# In[237]:
features = 'AGST+HarvestRain+WinterRain+Age'
# In[238]:
y, X = dmatrices_custom(target,features,data)
# In[239]:
show_vif(X)
# ## Model - 5 (Price ~ AGST + HarvestRain + WinterRain)
# In[240]:
data = wine[['Price','AGST','HarvestRain','WinterRain']]
# In[241]:
features = 'AGST+HarvestRain+WinterRain'
# In[242]:
y, X = dmatrices_custom(target,features,data)
# In[243]:
show_vif(X)
| [
"noreply@github.com"
] | noreply@github.com |
52a2d25629eb0aee97b31ef86c5b17f086e69730 | d437a2dac4dd5a13f92febb06789d2638f3ac98b | /mainapp/migrations/0008_auto_20210114_2321.py | c1549608f18ab4c1ef0b0f7224eb93fd9339be61 | [] | no_license | VanionVina/first-test-django | 2e9ab3273173b9b4c2c73a880faac7d7519e3c86 | 4fc02951c9b42c2ff6116ddbd9e0321e4e996846 | refs/heads/main | 2023-02-15T22:38:59.214216 | 2021-01-15T17:38:54 | 2021-01-15T17:38:54 | 328,221,303 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 698 | py | # Generated by Django 3.1.4 on 2021-01-14 18:21
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('mainapp', '0007_auto_20210114_2108'),
]
operations = [
migrations.AlterField(
model_name='cart',
name='final_price',
field=models.DecimalField(blank=True, decimal_places=2, max_digits=100, null=True, verbose_name='Final price'),
),
migrations.AlterField(
model_name='cartproduct',
name='total_price',
field=models.DecimalField(blank=True, decimal_places=2, max_digits=100, null=True, verbose_name='Total price'),
),
]
| [
"gamem9120@gmail.com"
] | gamem9120@gmail.com |
b925ebaeda376ca4c8ccc1c02b72eb10b1d2d267 | 6073a13876da060760d0eaa48a76af27f5b74a18 | /leetcode/stella/String.py | 082277e27ef9bbf40a5d51819f7d5dbf032ce247 | [] | no_license | fireflyc/leetcode-100 | b24e3b575190d5d52f3f6b6600f995e361f1d485 | b3ec7b761e750b5e6f0bb7d0221bfd26a4f807cc | refs/heads/main | 2023-07-07T00:15:53.898975 | 2021-08-15T07:30:27 | 2021-08-15T07:30:27 | 362,154,894 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,140 | py | from typing import List
def find_words_that_can_be_formed_by_characters(words: List[str], chars: str) -> int:
def match_character(w):
matching = chars
for i in range(0, len(w)):
pos = matching.find(w[i])
if pos > -1:
matching = matching[:pos] + matching[pos + 1:]
else:
return 0
return len(w)
total_match = 0
for word in words:
total_match += match_character(word)
return total_match
def print_words_vertically(s: str) -> List[str]:
words = []
blank = " "
pos = 0
for c in s:
if c == blank:
pos = 0
continue
if len(words) <= pos:
words.append("")
if len(words[pos]) < len(words[0]) - 1:
words[pos] += blank * (len(words[0]) - 1 - len(words[pos]))
words[pos] += c
pos += 1
return words
def string_without_aaa_or_bbb(a: int, b: int) -> str:
s = ""
letters = {'a': a, 'b': b}
while len(s) < a + b:
if letters['a'] != letters['b']:
l1, l2 = ('a', 'b') if letters['a'] > letters['b'] else ('b', 'a')
if len(s) > 1 and s[-2:] == l1 * 2:
s += l2
letters[l2] -= 1
else:
s += l1
letters[l1] -= 1
else:
s += 'ab' * letters['a'] if s and s[-1] == 'b' else 'ba' * letters['b']
letters['a'], letters['b'] = 0, 0
return s
class TrieNode:
def __init__(self, value: str = None):
self.value = value
self.children = []
def find_child(self, value):
for child in self.children:
if child.value == value:
return child
def append_child(self, child):
self.children.append(child)
class Trie:
def __init__(self):
self.root = TrieNode()
def insert(self, word: str) -> None:
cur = self.root
for c in word + "\n":
child = cur.find_child(c)
if child:
cur = child
else:
node = TrieNode(c)
cur.append_child(node)
cur = node
def search(self, word: str) -> bool:
return self.startsWith(word + "\n")
def startsWith(self, prefix: str) -> bool:
cur = self.root
for c in prefix:
cur = cur.find_child(c)
if not cur:
return False
return True
def implement_trie_prefix_tree(operators: List[str], operands: List[List]) -> List:
trie, output = None, []
for i, operator in enumerate(operators):
operand = operands[i]
if operator == "Trie":
trie = Trie()
output.append(None)
if operator == "insert":
output.append(trie.insert(*operand))
if operator == "search":
output.append(trie.search(*operand))
if operator == "startsWith":
output.append(trie.startsWith(*operand))
return output
def longest_happy_prefix(s: str) -> str:
prefix = ""
for i in range(1, len(s)):
if s[:i] == s[-1 * i:]:
prefix = s[:i]
return prefix
def word_search_ii(board: List[List[str]], words: List[str]) -> List[str]:
limit_row, limit_col = len(board), len(board[0])
char_collection = set([board[r][c] for c in range(0, limit_col) for r in range(0, limit_row)])
words = [w for w in words if set(w).issubset(char_collection)]
def match(row, col, target):
if board[row][col] != target[0]:
return False
matched, nth_letter, match_rc = target[0], 1, [(row, col, {(row, col)})]
while nth_letter < len(target) and match_rc:
tmp = []
for match_r, match_c, traversed in match_rc:
for i, j in [(1, 0), (-1, 0), (0, 1), (0, -1)]:
ri, cj = match_r + i, match_c + j
if (ri, cj) not in traversed and 0 <= ri < limit_row and 0 <= cj < limit_col and \
target[nth_letter] == board[ri][cj]:
tmp.append((ri, cj, traversed | {(ri, cj)}))
if not tmp:
break
match_rc = tmp
matched += target[nth_letter]
nth_letter += 1
return matched == target
found = set()
for r in range(0, limit_row):
for c in range(0, limit_col):
for w in words:
if w not in found and match(r, c, w):
found.add(w)
return list(found)
def short_encoding_of_words(words: List[str]) -> int:
fragments = []
for w in words:
to_insert = True
for i, f in enumerate(fragments):
if f.endswith(w) or w.endswith(f):
fragments[i] = f if len(f) > len(w) else w
to_insert = False
break
if to_insert:
fragments.append(w)
return len("#".join(fragments)) + 1
def is_unique_lcci(astr: str) -> bool:
for i in range(1, len(astr)):
for j in range(0, i):
if astr[i] == astr[j]:
return False
return True
def check_permutation_lcci(s1: str, s2: str) -> bool:
if len(s1) < len(s2):
return False
i = 0
while i < len(s1):
count = 0
while s2[0] != s1[i] and count < len(s2):
s2 = s2[1:] + s2[0]
count += 1
if count < len(s2):
s2 = s2[1:]
else:
break
i += 1
return i >= len(s1)
def longest_substring_without_repeating_characters(s: str) -> int:
substring_length = 0
for i in range(0, len(s)):
for j in range(i, len(s)):
repeat = False
for k in range(i, j):
if s[k] == s[j]:
repeat = True
break
if repeat:
break
else:
substring_length = max(j - i + 1, substring_length)
return substring_length
def string_to_integer_atoi(s: str) -> int:
numbers, blank, minus, plus = ["1", "2", "3", "4", "5", "6", "7", "8", "9", "0"], " ", "-", "+"
start, be_minus = 0, False
for i, c in enumerate(s):
if c in [blank]:
start += 1
continue
elif c in numbers:
start = i
break
elif c in [minus, plus]:
be_minus = True if c == minus else False
start = i + 1 if i + 1 < len(s) and s[i + 1] in numbers else start - 1
break
else:
start -= 1
break
if start < 0:
return 0
digits = []
for i in range(start, len(s)):
if s[i] in numbers:
digits.append(int(s[i]))
continue
break
upper_limit, lower_limit = (2 ** 31) - 1, -1 * (2 ** 31)
int_s, signed_int = 0, 0
for d in digits:
int_s = int_s * 10 + d
signed_int = int_s * (-1 if be_minus else 1)
if signed_int <= lower_limit:
return lower_limit
if signed_int >= upper_limit:
return upper_limit
return signed_int
def reverse_words_in_a_string(s: str) -> str:
rs = ""
while s:
word_start, word_end = None, None
for i in range(len(s) - 1, -1, -1):
if s[i] != " ":
word_end = i
for j in range(word_end, -1, -1):
if s[j] != " ":
word_start = j
else:
break
break
if None in [word_start, word_end]:
break
rs += (" " if rs else "") + s[word_start: word_end + 1]
s = s[:word_start]
return rs
def integer_to_english_words(num: int) -> str:
scales = {10: "Billion", 7: "Million", 4: "Thousand", 3: "Hundred"}
numbers = {1: "One", 2: "Two", 3: "Three", 4: "Four", 5: "Five", 6: "Six", 7: "Seven", 8: "Eight", 9: "Nine",
10: "Ten", 11: "Eleven", 12: "Twelve", 13: "Thirteen", 14: "Fourteen", 15: "Fifteen", 16: "Sixteen",
17: "Seventeen", 18: "Eighteen", 19: "Nineteen", 20: "Twenty", 30: "Thirty", 40: "Forty", 50: "Fifty",
60: "Sixty", 70: "Seventy", 80: "Eighty", 90: "Ninety"}
if num == 0:
return "Zero"
def left_strip_zero(s: str):
return s.lstrip("0")
def less_than_100(s: str):
s = left_strip_zero(s)
if s:
n = int(s)
if n in numbers:
return [numbers[int(s)]]
for i in sorted(numbers.keys(), reverse=True):
if n > i:
n -= i
return [numbers[i], numbers[n]]
return []
def i2w(s: str):
s = left_strip_zero(s)
for l in sorted(scales.keys(), reverse=True):
if len(s) >= l:
_s = i2w(s[:-1 * l + 1])
s = s[-1 * l + 1:]
if _s:
return [*_s, scales[l]] + i2w(s)
return less_than_100(s)
data = i2w(str(num))
return " ".join(data)
def count_max_repetitions(s1: str, n1: int, s2: str, n2: int) -> int:
if not set(s2).issubset(s1):
return 0
s1 = "".join([s for s in s1 if s in s2])
if set(s1) == set(s2) and len(set(s1)) == 1:
return int((len(s1) * n1) / (len(s2) * n2))
if not n1 % n2:
n1 = int(n1 / n2)
n2 = 1
sn2_idx = 0
for n in range(0, n1):
p = 0
while p < len(s1):
i = sn2_idx % len(s2)
found = s1[p:].find(s2[i])
if found < 0:
break
sn2_idx += 1
p += found + 1
sn2_count = int(sn2_idx / len(s2))
return int(sn2_count / n2)
def super_palindromes(left: str, right: str) -> int:
def is_palindrome(s):
for i in range(0, int((len(s) + 1) / 2)):
if s[i] != s[len(s) - 1 - i]:
return False
return True
def generate_palindrome(l: int):
for c1 in "0123456789":
if l <= 2:
yield c1 * l
else:
for p in generate_palindrome(l - 2):
yield c1 + p + c1
start, end, count = str(int(int(left) ** (1 / 2))), str(int(int(right) ** (1 / 2))), 0
for j in range(len(start), len(end) + 1):
for palindrome in generate_palindrome(j):
if palindrome[0] != "0":
square_palindrome = int(palindrome) ** 2
if is_palindrome(str(int(square_palindrome))) and int(left) <= square_palindrome < int(right):
count += 1
return count
def word_subsets(words1: List[str], words2: List[str]) -> List[str]:
word2_letters = {}
for w in words2:
for c in set(w):
word2_letters.update({c: max(w.count(c), word2_letters.get(c) or 0)})
subsets = []
for w1 in words1:
matched = True
for c, n in word2_letters.items():
if w1.count(c) < n:
matched = False
break
if matched:
subsets.append(w1)
return subsets
| [
"zhu.stella@outlook.com"
] | zhu.stella@outlook.com |
453c69653de395d2fcbc7a7f3947971f6ec6d872 | f9d0a3db7b8d43b01d6a4045b32ff376bda02f4d | /server.py | 688eb8f15086dcddd2722e4be4b9f0d3509b7107 | [] | no_license | gunjan-iitr/model_API | 559f4ae49f6fe99c04392a1e5f7e8a576294294a | 3385b1a9d29aa853bfc77d862bdab727812d582c | refs/heads/master | 2022-07-09T07:07:42.185036 | 2020-05-15T21:46:02 | 2020-05-15T21:46:02 | 264,304,519 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 397 | py | import numpy as np
from flask import Flask, request,jsonify
import pickle
app = Flask(__name__)
model = pickle.load(open('model.pkl','rb'))
@app.route('/api',methods=['POST'])
def predict():
data = request.get_json(force=True)
arr = np.array(data['arr'])
prediction = model.predict([arr])
output = prediction[0]
return str(output)
if __name__=='__main__':
app.run(port=8080,debug=True) | [
"noreply@github.com"
] | noreply@github.com |
4eca7d3bec4348ead491c92d3bffb1b5836095ad | 84372dcaec5b7b70deafc1fffba0200f14b849aa | /spider.py | abaee8698479d0534398a887129fd6d62d411e03 | [] | no_license | ake698/pollusion | 6a33c4379eb368e7597419e1c114d3ebb6666479 | 5cc4c6d2f9a7176899b0b6b2fbd860810cecfc9f | refs/heads/master | 2020-12-01T19:05:27.762545 | 2019-12-31T05:46:41 | 2019-12-31T05:46:41 | 230,738,302 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,398 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2019/12/29 16:01
# @Author : QS
# @File : spider.py
#潮州空气质量数据采集
import requests
from bs4 import BeautifulSoup
from time import sleep
import datetime
import django
import sys,os
dir = os.path.dirname(os.path.abspath(__file__))
sys.path.append(dir)
os.environ.setdefault("DJANGO_SETTINGS_MODULE","Pollution_regulation.settings")
django.setup()
from app.models import *
baseUrl = "http://www.tianqihoubao.com"
headers = {
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3",
"Accept-Encoding": "gzip, deflate",
"Accept-Language": "zh-CN,zh;q=0.9",
"Connection": "keep-alive",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/73.0.3683.86 Safari/537.36"
}
def getUrl():
res = requests.get(url="http://www.tianqihoubao.com/aqi/chaozhou-201911.html",headers=headers).text
soup = BeautifulSoup(res,"html.parser")
result = soup.find("div",class_="box").find("ul")
urls = []
for i in result.findAll("li"):
urls.append(baseUrl+i.a['href'])
urls.reverse()
return urls
def getInfo(url):
response = requests.get(url=url,headers=headers).text
# print(response)
soup = BeautifulSoup(response,'html.parser')
trs = soup.findAll("tr")
flag = True
data = []
for i in trs:
if flag:
flag = False
continue
tds = i.findAll("td")
date = tds[0].text.strip()
level = tds[1].text.strip()
AQI = tds[2].text.strip()
PM25 = tds[4].text.strip()
PM10 = tds[5].text.strip()
SO2 = tds[6].text.strip()
NO2 = tds[7].text.strip()
CO = tds[8].text.strip()
O3 = tds[9].text.strip()
dateTime_p = datetime.datetime.strptime(date,'%Y-%m-%d')
if Airquality.objects.filter(date=dateTime_p):
continue
print(date)
Airquality.objects.create(date=dateTime_p,qualityLevel=level,AQI=AQI,PM25=PM25,PM10=PM10,SO2=SO2,NO2=NO2,
CO=CO,O3=O3).save()
# data.append([date,level,AQI,PM10,PM25,SO2,NO2,CO,O3])
# print(data)
# getInfo(33)
def main():
urls = getUrl()
for url in urls:
print(url)
getInfo(url)
sleep(2)
# main()
| [
"fsq5431@qq.com"
] | fsq5431@qq.com |
907fa10baaf747393b739dea0d5ac7a8ad148eab | 63059890e4f66a5c81bf6e8b488836216086e70b | /01day/7-备份大师.py | 4665ffa90bb2f2188f449b135c21e42a01a32200 | [] | no_license | jiuwangshiyan/1808- | 2b647b8388dac14b6724808aa26d060bedc64a8e | eb3c04e4b7d39343c5beda518f95ad33dde2e65c | refs/heads/master | 2020-03-28T02:51:11.423694 | 2018-09-07T01:21:10 | 2018-09-07T01:21:10 | 147,602,571 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 321 | py | name = input('请输入要备份文件的名字')
f = open('8.txt','r')
content = f.read()#content 是读取f.read
print(content)
f.close()
#把8.txt内容写入到9.txt里
p = name.rfind('.')
s = name[ :p]
e = name[p:]
newname = s+'备份'+e
f1 = open(newname,'w')
f1.write(content)
f1.close()
| [
"1848919677@qq.com"
] | 1848919677@qq.com |
51e8fae298d3258f1bc488df509e29b0599f907b | 5fe72bb13baf3649058ebe11aa86ad4fc56c69ed | /hard-gists/299905/snippet.py | 463be82ad5d7f9e9ed4f498a8c2cafdb1dd3dfbf | [
"Apache-2.0"
] | permissive | dockerizeme/dockerizeme | 8825fed45ff0ce8fb1dbe34959237e8048900a29 | 408f3fa3d36542d8fc1236ba1cac804de6f14b0c | refs/heads/master | 2022-12-10T09:30:51.029846 | 2020-09-02T13:34:49 | 2020-09-02T13:34:49 | 144,501,661 | 24 | 20 | Apache-2.0 | 2022-11-21T12:34:29 | 2018-08-12T21:21:04 | Python | UTF-8 | Python | false | false | 1,239 | py | "Memcached cache backend"
from django.core.cache.backends import memcached
from django.utils.encoding import smart_unicode, smart_str
MIN_COMPRESS_LEN = 150000
class CacheClass(memcached.CacheClass):
def add(self, key, value, timeout=None, min_compress_len=MIN_COMPRESS_LEN):
if isinstance(value, unicode):
value = value.encode('utf-8')
if timeout is None:
timeout = self.default_timeout
return self._cache.add(smart_str(key), value, timeout, min_compress_len)
def set(self, key, value, timeout=None, min_compress_len=MIN_COMPRESS_LEN):
if isinstance(value, unicode):
value = value.encode('utf-8')
if timeout is None:
timeout = self.default_timeout
self._cache.set(smart_str(key), value, timeout)
def set_many(self, data, timeout=None, min_compress_len=MIN_COMPRESS_LEN):
safe_data = {}
for key, value in data.items():
if isinstance(value, unicode):
value = value.encode('utf-8')
safe_data[smart_str(key)] = value
if timeout is None:
timeout = self.default_timeout
self._cache.set_multi(safe_data, timeout, min_compress_len=min_compress_len)
| [
"42325807+dockerizeme@users.noreply.github.com"
] | 42325807+dockerizeme@users.noreply.github.com |
a468f3de10abd49125aa13e427ffbc8515c5cafc | 1bed3057cfc7da9156647b6251bd0109157472ee | /_CNN/_CNN_Med/cnn.py | 8c61eadfb7d7be5d0d720dfd7ce70d1bb865d73b | [] | no_license | liyaguo6/Machine-learning | 4b13f230b17df7c19bb1c8757e9c61523d045263 | a470592122699c7d45edd8c5311b3e252c0b3548 | refs/heads/master | 2020-03-27T08:30:38.056434 | 2020-03-04T13:02:12 | 2020-03-04T13:02:12 | 146,262,295 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,197 | py | import tensorflow as tf
class TextCnn:
def __init__(self,sequence_length,num_classes,embedding_size,filter_sizes,num_filters,l2_reg_lambda):
# Placeholders for input, output, dropout
self.input_x= tf.placeholder(tf.float32,[None,sequence_length,embedding_size],name='input_x')
self.input_y= tf.placeholder(tf.float32,[None,num_classes],name='input_x')
self.dropout_keep_prob = tf.placeholder(tf.float32, name="dropout_keep_prob")
# Keeping track of l2 regularization loss (optional)
l2_loss = tf.constant(0.0)
with tf.device('/cpu:0'),tf.name_scope('embedding'):
self.embedding_chars = self.input_x
self.embedding_chars_expanded=tf.expand_dims(self.embedding_chars,-1) # shape : [ batch , height , width , 1 ]
pooled_outputs = []
for i,filter_size in enumerate(filter_sizes):
with tf.name_scope('conv_maxpool-%s' % filter_size):
filter_shape = [filter_size, embedding_size, 1, num_filters]
W1 = tf.Variable(tf.truncated_normal(filter_shape,stddev=0.1),name='W1')
b1 = tf.Variable(tf.constant(0.1,shape=[num_filters]),name='b1')
conv = tf.nn.conv2d(self.embedding_chars_expanded,W1,strides=[1,1,1,1],padding='VALID',name='conv')
h = tf.nn.relu(tf.nn.bias_add(conv,b1),name='relu') #[ batch , sequence_length - filter_sizes + 1 , 1 , num_filters ]
pool = tf.nn.max_pool(h,ksize=[1,sequence_length-filter_size+1,1,1],strides=[1,1,1,1],padding='VALID',name='pool')
pooled_outputs.append(pool)
num_filters_size = num_filters*len(filter_sizes)
self.h_pool = tf.concat(pooled_outputs, 3)
self.h_pool_flat = tf.reshape(self.h_pool,shape=[-1,num_filters_size])
with tf.name_scope('dropout'):
self.dropout = tf.nn.dropout(self.h_pool_flat,self.dropout_keep_prob)
with tf.name_scope('fully_connected'):
W2 =tf.Variable(tf.truncated_normal([num_filters_size,100],stddev=0.1),name='W2')
b2 = tf.Variable(tf.constant(0.1,shape=[100,],name='b2'))
self.connected = tf.nn.xw_plus_b(self.dropout,W2,b2)
# Final (unnomalized) scores and predictions
with tf.name_scope('output'):
W3 = tf.Variable(tf.truncated_normal([100, num_classes],stddev=0.1),name='W3')
b3 = tf.Variable(tf.constant(0.1, shape=[num_classes], name='b'))
l2_loss += tf.nn.l2_loss(W3)
l2_loss += tf.nn.l2_loss(b3)
self.socres = tf.nn.xw_plus_b(self.connected, W3, b3,name='socres')
self.predictions = tf.argmax(self.socres, 1, name='predictions')
# Calculate Mean cross-entropy loss
with tf.name_scope('loss'):
loss = tf.nn.softmax_cross_entropy_with_logits(logits=self.socres,labels=self.input_y)
self.losses = tf.reduce_mean(loss)+l2_loss*l2_reg_lambda
# Accuracy
with tf.name_scope('accuracy'):
correct_predictions = tf.equal(self.predictions,tf.argmax(self.input_y,1))
self.accuracy = tf.reduce_mean(tf.cast(correct_predictions, "float"), name="accuracy")
| [
"1075543143@qq.com"
] | 1075543143@qq.com |
532846d49d56961b880780dd986e7e3500e6d70e | eb6e282c7e5fe1bf99f8b7aa79d03f1b27482f11 | /Guassian Elimination -with and without pivoting.py | 7d985b144188f47a0867655dd1e9de9f024b37a4 | [
"MIT"
] | permissive | VineethPachava/Mathematical-Matrix-Methods | 3f9e57cc7f55e19bc0b0a80d73343c534e63bc32 | 542fcded1514d0891145e8a06f3e5fd0959d4c68 | refs/heads/master | 2021-01-01T15:47:23.945686 | 2017-07-23T04:56:55 | 2017-07-23T04:56:55 | 97,704,084 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,571 | py | '''
----------------------------------------------------------------
Title: Gauss Elimination Method
Name: Vineeth Pachava
--------------------------------
'''
def Guassian_nonpivot(D,E,n): #A is assigned to D,B is assigned to E
for k in range(n):
for j in range(k+1,n): #elimination part
if D[k][k]==0: #making sure that zero does not end up in denominator
raise ValueError('element is zero')
l =D[j][k]/D[k][k] #the lambda/multiplication factor
for m in range(k,n):
D[j][m]=D[j][m]-l*D[k][m] #performing row subtractions
E[j] =E[j] -l*E[k] #performing row subtractions on B vector
#displaying the values
print(" ")
print ('Vector after guassian elimination without pivoting:')
print (E)
print("")
print ('matrix A after guassian Elimination without pivoting:')
print (D)
x = [0 for i in range(n)] #intialising solution matrix
for i in range(n-1,-1,-1):
sum=0.0
for j in range(i+1,n):
sum+=D[i][j]*x[j]
x[i]=(E[i]-sum)/D[i][i]
print("=============================================================== ")
print ('Solution without pivoting')
print (x)
def Guassian(A,B,n):
for k in range(n): #partial pivoting
maxi=k
for i in range(k+1,n):
if abs(A[i][k])>abs(A[maxi][k]): #Choose largest pivot element
maxi=i;
if maxi !=k:
A[k],A[maxi]=A[maxi],A[k] #row swaping
B[k],B[maxi]=B[maxi],B[k]
print("==================================================")
print("matrix A after pivoting")
print(A)
for k in range(n): #partial pivoting
for j in range(k+1,n): #elimination part
if A[k][k]==0: #making sure that zero does not end up in denominator
raise ValueError('element is zero',k)
l =A[j][k]/A[k][k] #the lambda/multiplication factor
for m in range(k,n):
A[j][m]=A[j][m]-l*A[k][m] #performing row subtractions
B[j] =B[j] -l*B[k] #performing row subtractions on B vector
print("========================================================== ")
print ('Vector after guassian elimination with pivoting:')
print (B)
print("===========================================================")
print ('matrix A after guassian Elimination with pivoting:')
print (A)
x = [0 for i in range(n)] #back substitution
for i in range(n-1,-1,-1):
sum=0.0
for j in range(i+1,n):
sum+=A[i][j]*x[j]
x[i]=(B[i]-sum)/A[i][i]
print(" ===========================================================")
print ('Solution with pivoting:')
print (x)
#end of guassian function
#inputting values
print("choose 1->guassian elimination without pivoting:")
print("2->with pivoting")
a= input()
print(a)
n = int(input('enter the dimensions'))
A=[]
for i in range(n): #taking A matrix as input
row =[]
for j in range(n):
print('Enter the Element',(i+1),(j+1))
y=float(input())
row.append(y)
A.append(row)
B=[]
for i in range(n): #taking B matrix as input
print ('enter the b',(i+1))
y=float(input())
B.append(y)
print ('matrix A:')
print (A)
print("====================================================================")
print ('Vector B')
print(B)
print("================================================")
if a=='1':
Guassian_nonpivot(A,B,n)
if a=='2':
Guassian(A,B,n)
| [
"noreply@github.com"
] | noreply@github.com |
f1ee1dc50e5c6b36d4e54422457bbdcd46f88395 | 015f49cd040b82773409b01b3d40c0e19e828402 | /admin/fladmin/apps.py | 2f3e1d10d4ba7b3b171e1260f9a1ca866ab8513a | [
"MIT"
] | permissive | cheesycod/FatesList | a36ff488d17f1e7ed247c6269ee94a626f468968 | 82a175b94f93540bab57262c8aa8500a008e7d7b | refs/heads/main | 2023-03-25T04:46:37.943400 | 2021-03-26T08:26:41 | 2021-03-26T08:26:41 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 89 | py | from django.apps import AppConfig
class FladminConfig(AppConfig):
name = 'fladmin'
| [
"meow@683e51740c.servercheap.net"
] | meow@683e51740c.servercheap.net |
f667e24c635794745a0cd682814b11c7ae323274 | 6e0cc09bab285a388950122abfa136ebdec88427 | /blog/settings.py | 3771c5d822f734ff66d2dda02a4b67a2ad6a5146 | [
"MIT"
] | permissive | SolidScript/blog | 61c5cc9430dbc48fc96cab387ab3ce145a41e807 | 9bc80f92825432a24325fcf3caec00a1e0ea9a84 | refs/heads/master | 2021-05-11T04:05:39.879271 | 2018-01-18T04:27:41 | 2018-01-18T04:27:41 | 117,931,789 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,289 | py | """
Django settings for blog project.
Generated by 'django-admin startproject' using Django 1.10.
For more information on this file, see
https://docs.djangoproject.com/en/1.10/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.10/ref/settings/
"""
import os
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/1.10/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = '7ijuav-@52@9%9a6)(tl%kr#2k3o1dnvvgwnfg!!+odmv)dp#='
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
ALLOWED_HOSTS = []
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
'blogview',
]
MIDDLEWARE = [
'django.middleware.security.SecurityMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
]
ROOT_URLCONF = 'blog.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
},
]
WSGI_APPLICATION = 'blog.wsgi.application'
# Database
# https://docs.djangoproject.com/en/1.10/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
}
}
# Password validation
# https://docs.djangoproject.com/en/1.10/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS = [
{
'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
},
]
# Internationalization
# https://docs.djangoproject.com/en/1.10/topics/i18n/
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/1.10/howto/static-files/
STATIC_URL = '/static/'
STATICFILES_DIRS = [
os.path.join(BASE_DIR, "static"),
]
| [
"mohitkyadav@outlook.com"
] | mohitkyadav@outlook.com |
9643fb9df4f77bc2b0879985b47062773a83ff15 | 54489f723841157ff6f9d3aa3d9d9590f27d2ed5 | /stack_Overflow_Parser-master/test.py | 00a865816807e35ffbb0b0e0548486aa85a62a26 | [
"MIT"
] | permissive | Ash515/awesomeScripts | 8126751d9cd47564e6d76726cbde38a4291cf223 | 3a2c0888207aca044e03ec9f387035e14879fd15 | refs/heads/master | 2022-12-23T09:42:33.998020 | 2020-10-05T11:50:18 | 2020-10-05T11:50:18 | 301,373,870 | 8 | 0 | MIT | 2020-10-05T10:40:52 | 2020-10-05T10:40:52 | null | UTF-8 | Python | false | false | 12 | py | a = 5 + "b"
| [
"deepak008@live.com"
] | deepak008@live.com |
be36fb11ecb75c519d15f74a3051cbd760f262f3 | 51a5005a8baf3fe11dc821aeddf4eacff33ecdd4 | /tools/play_path.py | d5d37ed6653185ad35ac781648365b437b3a4559 | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | personalrobotics/user_interface | 46b9065fb789f5bed43c861314389804a9c62522 | 517aa17578d0e564da5d8c7c975df76742c70968 | refs/heads/master | 2021-04-30T22:10:16.240873 | 2017-01-23T21:42:42 | 2017-01-23T21:42:42 | 69,285,380 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,703 | py | #!/usr/bin/env python
from push_planner_benchmarks.tools import play_path
if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser(description="Test playing a path")
parser.add_argument("--query", type=str, required=True,
help="The yaml file that specifies the query to load")
parser.add_argument("--path", type=str, required=True,
help="The yaml file that specifies the ompl path to play")
parser.add_argument("--save", action="store_true",
help="If true, each state on the path will be written to file")
parser.add_argument("--outdir", type=str,
help="The directory to save files to, if None the current directory is used")
parser.add_argument('--extension', type=str, default='png',
help="The extension for the images files (default: png)")
parser.add_argument("--interact", action="store_true",
help="If true, user is prompted after each state is rendered")
parser.add_argument("--belief", action="store_true",
help="Flag the path as a belief state path")
parser.add_argument("--reverse", action="store_true",
help="Play path in reverse")
args = parser.parse_args()
if args.outdir is not None:
import os
if not os.path.exists(args.outdir):
os.makedirs(args.outdir)
play_path(args.query, args.path, path_obj='manip',
reverse=args.reverse, extension=args.extension,
belief=args.belief, save=args.save,
interact=args.interact, outdir=args.outdir)
raw_input('Press enter to quit')
| [
"vrangane@roy.personalrobotics.ri.cmu.edu"
] | vrangane@roy.personalrobotics.ri.cmu.edu |
d60a97c99a0513292a8111eef4d74b11f0edbc80 | 96fdfc2fa226f13b4e3b4755e7de626e10cd58e5 | /Sex/spiders/spider.py | f236e06bb8445cd89969b4023053f7f7603fbce4 | [] | no_license | zjmmjzzjm/sexspider | 96a1d699d4af5483e660f4c2e5e624aa092057ce | 0102a1e4940778725288c5e962628669cd8fe0d9 | refs/heads/master | 2021-01-16T01:23:48.420415 | 2014-05-24T03:41:09 | 2014-05-24T03:41:09 | 20,795,534 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,236 | py | import scrapy
from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor
from scrapy.http.cookies import CookieJar
from scrapy.selector import Selector
from Sex.items import SexItem
import datetime
import urllib2
import exceptions
#import socket
import string
import datetime
import time
import sys
import re
from killhtmltags import *
_DEBUG=False
#_DEBUG=True
class kaisouSpider(CrawlSpider):
name = 'sexinsex'
allowed_domains = ['67.220.90.15']
start_urls = [
#'http://67.220.90.15/bbs/thread-5715209-1-1.html',
#'http://67.220.90.15/bbs/thread-5749352-1-1.html'
]
rules = [Rule(SgmlLinkExtractor(allow=['thread.+\.html']), 'get_movie_item')]
rules = [Rule(SgmlLinkExtractor(allow=['forum.+\.html']), 'get_movie_page')]
#rules = [Rule(SgmlLinkExtractor(allow=['/tag/.+']), 'get_movie_page')]
# the rules will be flushed
def start_requests(self):
return [scrapy.http.FormRequest("http://67.220.90.15/bbs/logging.php?action=login&loginsubmit=true",
formdata={'formhash':'6e09b927', 'cookietime':'2592000', 'loginfield':'username', 'username':'999snake999', 'password':'tteesstt9', 'userlogin':'true'},
callback=self.logged_in
)
]
def get_complete_url(self, url):
return "http://67.220.90.15/bbs/"+url
def get_movie_pages(self, response):
reload(sys)
sys.setdefaultencoding("utf-8")
sel = Selector(response)
tags = sel.xpath('//*[@id="container"]//div[1]/a/@href').extract()
#if _DEBUG == True:
# import pdb
# pdb.set_trace()
for tag in tags:
# if _DEBUG == True:
# import pdb
# pdb.set_trace()
yield self.make_requests_from_url(self.get_complete_url(tag))
def get_movie_page(self, response):
reload(sys)
sys.setdefaultencoding("utf-8")
open('Pages/CrawledNextPages.log', 'ab').write(response.url + '\n')
sel = Selector(response)
next_pages = sel.xpath('//*[@class="pages"]/a/@href').extract()
#if _DEBUG == True:
# import pdb
# pdb.set_trace()
#print next_pages
item_pages = sel.xpath('//*[@class="folder"]/a/@href').extract()
#open('Pages/Subpages.log', 'ab').write('\n'.join(next_pages))
for next_page in next_pages:
# print self.get_complete_url(next_page)
# yield scrapy.http.Request(self.get_complete_url(next_page), callback=self.get_movie_page)
# if _DEBUG == True:
# import pdb
# pdb.set_trace()
open('Pages/NextPages.log', 'ab').write(response.url + '\n')
yield self.make_requests_from_url(self.get_complete_url(next_page))
for item_page in item_pages:
item_page = self.get_complete_url(item_page)
print item_page
open('Pages/ItemPages.log', 'ab').write(item_page + '\n')
yield scrapy.http.Request(item_page, callback=self.get_movie_item)
#yield self.make_requests_from_url(item_page)
# here can't use make_requests_from_url, i think cause we can't find href in the page
def get_movie_item(self, response):
reload(sys)
sys.setdefaultencoding("utf-8")
self.log("get_movie_item just arrived! %s" % response.url)
open('Pages/CrwaledSinglePages.log', 'ab').write(response.url + '\n')
torrent = SexItem()
print 'get_movie_item: ' + response.url
sel = Selector(response)
torrent_urls = sel.xpath('//*[@class="box postattachlist"]//a/@href').extract()
image_srcs = sel.xpath('//*[@class="t_msgfont"]//img/@src').extract()
try:
title = sel.xpath('//*[@class="postmessage defaultpost"]//h2/text()')[0].extract()
except exceptions.IndexError:
open('Log/ErrorParsedPages.log', 'ab').write(response.url + '\n')
return
torrent['title'] = title
torrent['refer'] = response.url
#cookieJar = response.meta.setdefault('cookie_jar', CookieJar())
#cookieJar.extract_cookies(response, response.request)
#torrent['cookie'] = cookieJar._cookies
torrent['cookie'] = response.request.headers['Cookie']
if _DEBUG == True:
import pdb
pdb.set_trace()
#for cookie in cookieJar:
# torrent['cookie'].append(cookie)
image_right_srcs = ''
image_item_srcs = []
for image_src in image_srcs:
if image_src.find('.jpg') != -1:
image_right_srcs += image_src + '\n'
image_item_srcs.append(image_src)
torrent['image_right_srcs'] = image_right_srcs
page_info = ''.join(sel.xpath('//*[@class="t_msgfont"]')[0].extract())
page_info = ''.join(page_info.split('\t'))
page_info = filter_tags(page_info)
if_get_hash = re.search(r'[0-9a-zA-Z]{40}', page_info)
#if _DEBUG == True:
# import pdb
# pdb.set_trace()
if if_get_hash:
torrent_hash = if_get_hash.group(0)
torrent['torrent_hash'] = torrent_hash
else:
torrent_hash = "NoHash_" + time.strftime('%Y_%m_%d_%H_%M_%S',time.localtime(time.time())) + "_" + str(datetime.datetime.now().microsecond)
torrent['no_torrent_hash'] = torrent_hash
if (torrent_urls.__len__() == 0):
all_info = '#!Title: ' + title + '\n\n' + '#!Torrent Info: ' + page_info + '\n\n'+ '#!Images: \n' + image_right_srcs + '\n\n!Original URL: ' + response.url
torrent['all_info'] = all_info
else:
download_urls = ''
download_item_urls = []
for torrent_url in torrent_urls:
if torrent_url.find('attachment.php') != -1:
if torrent_url[-1] in string.digits:
download_urls += self.get_complete_url(torrent_url) + '\n'
download_item_urls.append(self.get_complete_url(torrent_url))
#scrapy.http.Request(self.get_complete_url(torrent_url))
all_info = '#!Title: ' + title + '\n\n' + '#!Torrent Info: ' + page_info + '\n\n'+ '#!Images: \n' + image_right_srcs + '\n\n' + '#!Download: ' + download_urls + '\n\n#!Original URL: ' + response.url
torrent['download_urls'] = download_item_urls
torrent['all_info'] = all_info
return torrent
#def parse_start_url(self, response):
#def parse(self, response):
# self.log("parse_category just arrived! %s" % response.url)
#if _DEBUG == True:
# import pdb
# pdb.set_trace()
# return self.get_movie_item(response)
def logged_in(self, response):
self.log("logged_in just arrived! %s" % response.url)
yield self.make_requests_from_url("http://67.220.90.15/bbs/forum-318-1.html")
#yield self.make_requests_from_url("http://67.220.90.15/bbs/thread-5749854-1-1.html", meta={'cookiejar': response.meta['cookiejar']},) | [
"niklaus520@aol.com"
] | niklaus520@aol.com |
d23bdd30e8190210edd9107c2e3d8da1127f0046 | 24c5c46f1d281fc15de7f6b72a5148ae85f89fb4 | /SRC/unittest/case_interface_bak.py | b566f32234c2a6425ea57ff17e5e87a1788e972a | [] | no_license | enterpriseih/easyTest | 22d87c7ffe40fb10a07f7c5cdd505f63dd45adc0 | 43b8d294e898f25055c78313cfece2753352c250 | refs/heads/master | 2023-08-23T22:55:14.798341 | 2020-02-11T09:13:43 | 2020-02-11T09:13:43 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,127 | py | # coding=utf-8
import functools
import json
import unittest as UT
import requests
from SRC import settings
from SRC.common.const import RunStatus, RequestMethod, RequestDataType, RunResult
from SRC.common.decorator import assert_dec, codeException_dec
from SRC.common.exceptions import JsonLoadsException
from SRC.common.fileHelper import isNoneOrEmpty
from SRC.common.loga import putSystemLog
from SRC.common.param import Param
from SRC.common.utils import impClass, isAbsoluteUrl
from SRC.interface_info import projectClass
'''
接口测试用例
'''
class TestCase(UT.TestCase):
def __init__(self, jsonParam):
super(TestCase, self).__init__('runTest')
self.__param = Param(jsonParam['paramsDict'])
self.logger = jsonParam['logger']
self.scriptId = jsonParam['scriptId']
self.projectObj = None # 包含产品信息的对象
self.requestData = None # 请求参数
self.response = None # 响应结果
@property
def param(self):
'''
参数化驱动属性名称
:return:
'''
return self.__param
def setUp(self):
putSystemLog('开始运行脚本%s' % (str(self.__class__)), self.logger)
try:
self.initProjectObj() # 根据不同项目动态初始化对象
self.initRequestData() # 初始化请求参数数据
except JsonLoadsException as e:
putSystemLog(e, self.logger, True, RunStatus.RUNNING, RunResult.ERROR, True, '异常')
except Exception as e:
putSystemLog('[ERROR-2007-0]:测试用例初始化数据引发的异常.请检查参数是否配置正确%s' % e, self.logger, True, RunStatus.RUNNING,
RunResult.ERROR,
True, '异常')
raise
def initRequestData(self):
dataType = self.param.dataType # 请求类型
if dataType == RequestDataType.JSON: # 请求类型为json
self.requestData = self.getFullRequestJsonData()
def initProjectObj(self):
project = impClass(projectClass[self.param.projectClass]) # 动态获取对象
self.projectObj = project(self.param.data.replace("'", "\"")) # 初始化一个项目对象
self.setAbsoluteUrl() # 设置url
def setAbsoluteUrl(self):
if not isAbsoluteUrl(self.param.url):
self.param.url = self.projectObj.getFullUrl(self.param.url) # 获取完整的url
def getFullRequestJsonData(self):
return self.projectObj.getFullRequestData()
@codeException_dec('3')
def runTest(self):
url = self.param.url
method = self.param.method
data = self.requestData
putSystemLog('测试项目简称：%s' % (self.param.projectClass), self.logger, True, RunStatus.RUNNING, RunResult.PASS,
False, '测试项目简称')
putSystemLog('待测试接口：%s' % (url), self.logger, True, RunStatus.RUNNING, RunResult.PASS, False, '待测接口')
putSystemLog('请求方式：%s' % (method), self.logger, True, RunStatus.RUNNING, RunResult.PASS, False, '请求方式')
putSystemLog('请求数据类型：%s' % (self.param.dataType), self.logger, True, RunStatus.RUNNING, RunResult.PASS, False,
'请求数据类型')
putSystemLog('返回数据类型：%s' % (self.param.expectType), self.logger, True, RunStatus.RUNNING, RunResult.PASS, False,
'返回数据类型')
putSystemLog('请求参数：%s' % (json.dumps(self.requestData,indent=4)), self.logger, True, RunStatus.RUNNING, RunResult.PASS, False,
'请求参数')
if method == RequestMethod.GET:
self.response = requests.get(url, params=data)
elif method == RequestMethod.POST:
self.response = requests.post(url, data=data)
def compareResult(self):
param = self.param
r = self.response
expectType = param.expectType
putSystemLog('响应值：%s' % (r.status_code), self.logger, True, RunStatus.RUNNING, RunResult.PASS, True, '响应值')
if expectType == RequestDataType.JSON:
if isNoneOrEmpty(self.param.expect):
pass
else:
compareResult = self.compare()
putSystemLog('Json对比结果：%s,%s' % compareResult[0],compareResult[1], self.logger, True, RunStatus.RUNNING, RunResult.PASS, True,'Json对比结果')
elif expectType == RequestDataType.STRING:
putSystemLog(r.text, self.logger)
def tearDown(self):
self.compareResult()
putSystemLog('脚本运行完毕...', self.logger)
def compare(self):
'''
继承该方法实现对比的重写
:return:
'''
return self.__compareJson(keyCompare=True, formatCompare=True, valueCompare=True, equal=False)
def __compareJson(self, keyCompare=True, formatCompare=True, valueCompare=False, equal=False):
try:
expectJson = json.loads(self.param.expect.strip().replace("'", "\""))
resultJson = json.loads(self.response.text.strip().replace("'", "\""))
compareResult = (False, '')
if keyCompare:
compareResult = self.projectObj.compareKey(expectJson, resultJson, equal)
if not compareResult[0]:
return compareResult
if formatCompare:
compareResult = self.projectObj.compareFormat(expectJson, resultJson, equal)
if not compareResult[0]:
return compareResult
if valueCompare:
compareResult = self.projectObj.compareAllValue(expectJson, resultJson, equal)
if not compareResult[0]:
return compareResult
return compareResult
except:
raise
| [
"yaolihui0506"
] | yaolihui0506 |
9625b08110ec98c0f1151eaf9b340266f63fcddd | 579e19a7b861e0549874b6e263c24aa418f3fdfc | /samples/QueryChangeNotification.py | 992136bbfffae0d1ea7199297095a6391b650545 | [
"LicenseRef-scancode-unknown-license-reference",
"BSD-3-Clause"
] | permissive | 33bunny/python-cx_Oracle | 3f724df9a19ffd3f68e168fe7c57e4e057c8a780 | 26c3a4c2439642f9598bc9b1ca0d6ddf73890428 | refs/heads/master | 2021-05-07T15:17:18.873197 | 2017-11-06T20:41:59 | 2017-11-06T20:41:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,702 | py | #------------------------------------------------------------------------------
# Copyright 2016, 2017, Oracle and/or its affiliates. All rights reserved.
#
# Portions Copyright 2007-2015, Anthony Tuininga. All rights reserved.
#
# Portions Copyright 2001-2007, Computronix (Canada) Ltd., Edmonton, Alberta,
# Canada. All rights reserved.
#------------------------------------------------------------------------------
#------------------------------------------------------------------------------
# QueryChangeNotification.py
# This script demonstrates using query change notification in Python, a
# feature that is available in Oracle 11g. Once this script is running, use
# another session to insert, update or delete rows from the table
# cx_Oracle.TestTempTable and you will see the notification of that change.
#
# This script requires cx_Oracle 5.3 and higher.
#------------------------------------------------------------------------------
from __future__ import print_function
import cx_Oracle
import SampleEnv
import threading
import time
registered = True
def callback(message):
global registered
print("Message type:", message.type)
if message.type == cx_Oracle.EVENT_DEREG:
print("Deregistration has taken place...")
registered = False
return
print("Message database name:", message.dbname)
print("Message queries:")
for query in message.queries:
print("--> Query ID:", query.id)
print("--> Query Operation:", query.operation)
for table in query.tables:
print("--> --> Table Name:", table.name)
print("--> --> Table Operation:", table.operation)
if table.rows is not None:
print("--> --> Table Rows:")
for row in table.rows:
print("--> --> --> Row RowId:", row.rowid)
print("--> --> --> Row Operation:", row.operation)
print("-" * 60)
print("=" * 60)
connection = cx_Oracle.Connection(SampleEnv.MAIN_CONNECT_STRING, events = True)
sub = connection.subscribe(callback = callback, timeout = 1800,
qos = cx_Oracle.SUBSCR_QOS_QUERY | cx_Oracle.SUBSCR_QOS_ROWIDS)
print("Subscription:", sub)
print("--> Connection:", sub.connection)
print("--> Callback:", sub.callback)
print("--> Namespace:", sub.namespace)
print("--> Protocol:", sub.protocol)
print("--> Timeout:", sub.timeout)
print("--> Operations:", sub.operations)
print("--> Rowids?:", bool(sub.qos & cx_Oracle.SUBSCR_QOS_ROWIDS))
queryId = sub.registerquery("select * from TestTempTable")
print("Registered query:", queryId)
while registered:
print("Waiting for notifications....")
time.sleep(5)
| [
"anthony.tuininga@oracle.com"
] | anthony.tuininga@oracle.com |
74e71e949b0445cb41698dff0d78d98e28390ed7 | ec500d527b51e9d109dc097bbcae569ca842e469 | /exercise/iot/code/codejam.iot.mqtttcp.dataprocess.html5.py | 8acaf7d0e6dac4d050f25ca7b8cd3275cc46dbeb | [
"Apache-2.0"
] | permissive | krish469/data-intelligence-codejam-exercises | ffcb5707ed7bda6eb555b2e1a95270c190dd66a2 | ac31cf87e6b264d56123eef51c134dad6a87236e | refs/heads/master | 2022-11-04T09:21:18.214991 | 2020-06-18T23:15:30 | 2020-06-18T23:15:30 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,936 | py | import time
import locale
import json
#import ast
# Number of max devices
max_devices_qty = 100
locale.setlocale(locale.LC_ALL,"")
def main(payload):
last_timestamp = int(round(time.time()))
ubody = payload.body.decode("utf-8") # Must be converted to Unicode first
#body = ast.literal_eval(ubody) #ast.literal_eval works only with strings, but can be improperly formatted JSON, like a result of str(json_object)
body=json.loads(ubody)
body['loc_timestmp'] = last_timestamp
send_blob(json.dumps([body]))
guid = body["guid"]
del body["guid"]
devices[guid] = body
message = ""
message = generate_html_head(message)
message = generate_html_body(message, last_timestamp)
send_html(message)
# Generates head of HTML/CSS, including Style parameters
def generate_html_head(message):
message += '''
<head>
<style>
body {
font-family: Verdana, Geneva, sans-serif;
background: #b5b5bf;
}
table.dataTable {
border: 1px solid #1C6EA4;
background-color: #EEEEEE;
text-align: center;
border-collapse: collapse;
}
table.dataTable td, table.dataTable th {
border: 2px solid #AAAAAA;
padding: 3px 2px;
}
table.dataTable tbody td {
font-size: 15px;
}
table.dataTable thead {
background: #1C6EA4;
background: -moz-linear-gradient(top, #5592bb 0%, #327cad 66%, #1C6EA4 100%);
background: -webkit-linear-gradient(top, #5592bb 0%, #327cad 66%, #1C6EA4 100%);
background: linear-gradient(to bottom, #5592bb 0%, #327cad 66%, #1C6EA4 100%);
border-bottom: 2px solid #888888;
}
table.dataTable thead th {
font-size: 15px;
font-weight: bold;
color: #FFFFFF;
text-align: center;
border-left: 2px solid #D0E4F5;
}
table.dataTable thead th:first-child {
border-left: none;
}
table.dataTable tfoot td {
font-size: 14px;
}
table.dataTable tfoot .links {
text-align: right;
}
table.dataTable tfoot .links a{
display: inline-block;
background: #1C6EA4;
color: #FFFFFF;
padding: 2px 8px;
border-radius: 5px;
}
</style>
</head>
'''
return message
# Concatenates HTML body to previously generated head.
def generate_html_body(message, last_timestamp):
# Title, description and table header
message += '''
<body>
<center>
<h2> Prototype IoT Data Viewer </h2>
<br>
</center>
<p style="margin-left:15%; margin-right:15%"> The purpose of this Graph is to serve as a stub for the HTML Viewer operator.
Combining the HTML Viewer with a Python Operator, it is possible to adapt IoT data for real time display in a simple and flexible manner.
<br><br>
The data structure generation is happening in the Python3 Operator, which is messaging a String containing an HTML page to the HTML Viewer
through WebSocket with every update. The HTML Viewer then updates the display as soon as a message is received.
<br><br>
</p>
<center>
Last time stamp: {}
<br><br>
<table class="dataTable" id="salesTable">
<thead>
<tr>
<th style="width:400px"> Device UUID </th>
<th style="width:300px"> Last timestamp </th>
<th style="width:100px"> CPU % </th>
<th style="width:100px"> Mem % </th>
</tr>
</thead>
<tbody>
'''.format(time.ctime(round(time.time())))
# Iterates each store to add them to table
for i in devices:
message += '''
<tr>
<td> {} </td>
<td> {} </td>
<td> {} %</td>
<td> {} %</td>
</tr>
'''.format(
i,
time.ctime(int(devices[i]["timestmp"])),
locale.format("%.2f", devices[i]["cpu_load"], 1),
locale.format("%.2f", devices[i]["mem_load"], 1)
)
message += '''
</tbody>
</table>
<br><br>
</center>
</body>
'''
return message
# Sends the String containing HTML page through WebSocket
def send_html(message):
api.send("outhtml", message)
# Sends the String containing HTML page through WebSocket
def send_blob(blb):
api.send("outblob", blb)
api.send("outhtml", "Waiting for data...")
devices = {} #Empty dictionary
api.set_port_callback("inmsg", main)
| [
"witalij.rudnicki@sap.com"
] | witalij.rudnicki@sap.com |
3af34cb84ae4858b351760c26c31267162657760 | 3a4a98dd409d67e19fe643e608298711e7293431 | /爬虫/Include/招聘/zhilia.py | b416c70ce4fc0ae54ac593c614066b69f9e6a621 | [] | no_license | Jasonzy1015/python-5 | 031ac73512adcf4b4ceceb95943876de1ef26039 | 055050922e2240af7f61a45e28af3d4997012132 | refs/heads/master | 2022-03-26T11:57:32.223358 | 2020-01-04T08:11:12 | 2020-01-04T08:11:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,263 | py | import urllib.request
import json
# 提取json格式信息的库
import jsonpath
# 存取进xls文件的库
import xlwt
n = 0
myxls = xlwt.Workbook()
sheet1 = myxls.add_sheet(u'yx', cell_overwrite_ok=True)
# write(i,j,value)存取文档的首行
sheet1.write(0, 1, "公司名")
sheet1.write(0, 2, "地区")
sheet1.write(0, 3, "公司人数")
sheet1.write(0, 4, "类型")
sheet1.write(0, 5, "公司网站")
sheet1.write(0, 6, "岗位需求")
sheet1.write(0, 7, "要求毕业性质")
sheet1.write(0, 8, "薪资")
sheet1.write(0, 9, "工作性质")
sheet1.write(0, 10, "福利")
for i in range(1, 10):
url3 = "https://fe-api.zhaopin.com/c/i/sou?start=" + str(
i * 90) + "&pageSize=90&cityId=530&industry=160400&workExperience=-1&education=4&companyType=-1&employmentType=-1&jobWelfareTag=-1&kw=java&kt=3&_v=0.20600649&x-zp-page-request-id=a0a5c8da8e5e455ca30312a4d85fa52d-1548559285341-380683"
req = urllib.request.Request(url3)
req.add_header("User-Agent",
"Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.87 Safari/537.36 QIHU 360SE")
data = urllib.request.urlopen(req).read()
data = json.loads(data)
jobName = jsonpath.jsonpath(data, '$..jobName')
searchTag = jsonpath.jsonpath(data, "$..searchTag")
company = jsonpath.jsonpath(data, "$..company")
companyName = jsonpath.jsonpath(data, "$..company.name")
companyPeopleNum = jsonpath.jsonpath(data, "$..company.size.name")
companyType = jsonpath.jsonpath(data, "$..company.type.name")
companyUrl = jsonpath.jsonpath(data, "$..company.url")
city = jsonpath.jsonpath(data, "$..city")
cityName = jsonpath.jsonpath(data, "$..city.display")
workingExp = jsonpath.jsonpath(data, "$..workingExp")
workingExpName = jsonpath.jsonpath(data, "$..workingExp.name")
jobType = jsonpath.jsonpath(data, "$..jobType")
jobTypeName = jsonpath.jsonpath(data, "$..jobType.display")
eduLevel = jsonpath.jsonpath(data, "$..eduLevel")
eduLevelName = jsonpath.jsonpath(data, "$..eduLevel.name")
welfare = jsonpath.jsonpath(data, "$..welfare")
salary = jsonpath.jsonpath(data, "$..salary")
emplType = jsonpath.jsonpath(data, "$..emplType")
jobTag = jsonpath.jsonpath(data, "$..jobTag.searchTag")
for i in range(0, 89):
print("公司编号：" + str(n))
print(companyName[i])
print(cityName[i])
print(companyPeopleNum[i])
print(companyType[i])
print(companyUrl[i])
print(workingExpName[i])
# print(jobTypeName[i])
print(eduLevelName[i])
# print(welfare[i])
print(salary[i])
print(emplType[i])
# print(jobTag[i])
print()
n = n + 1
sheet1.write(n, 0, n)
sheet1.write(n, 1, companyName[i])
sheet1.write(n, 2, cityName[i])
sheet1.write(n, 3, companyPeopleNum[i])
sheet1.write(n, 4, companyType[i])
sheet1.write(n, 5, companyUrl[i])
# sheet1.write(n, 6, jobTypeName[i])
sheet1.write(n, 7, eduLevelName[i])
# sheet1.write(n,8,welfare[i])
sheet1.write(n, 8, salary[i])
sheet1.write(n, 9, emplType[i])
# sheet1.write(n, 10, jobTag[i])
myxls.save('yx.xls') | [
"1315426911@qq.com"
] | 1315426911@qq.com |
229cda51cb090287639fac9f73866fc0fc07e7f9 | 76742bf1c7dee6a01a0a41402fe734eeb0da3d74 | /tango_with_django_project/populate_rango.py | e7ae46306107f30b3103b2bbed482e688ef88477 | [] | no_license | Zacharilius/tangoProject | e5490c80af3caaabe2cf132a40387db2574713dc | 305fa20e344f8ad24514dff959be3e4e3632645e | refs/heads/master | 2021-01-22T23:26:51.921743 | 2015-03-17T17:52:22 | 2015-03-17T17:52:22 | 29,359,319 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,679 | py | import os
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'tango_with_django_project.settings')
import django
django.setup()
from rango.models import Category, Page
def populate():
python_cat = add_cat('Python', 128, 64)
add_page(cat=python_cat,
title = "Official Python Tutorial",
url = "http://docs.python.org/2/tutorial/")
add_page(cat = python_cat,
title = "How to think like a computer scientist",
url = "http://www.greenteapress.com/thinkpython/")
add_page(cat = python_cat,
title = "Learn Python in 10 minutes",
url = "http://www.korokithakis.net/tutorials/python/")
django_cat = add_cat("Django", 64, 32)
add_page(cat = django_cat,
title = "Official Django Tutorial",
url = "http://bottlepy.org/docs/dev/")
add_page(cat = django_cat,
title = "Django Rocks",
url = "http://www.djangorocks.com/")
add_page(cat = django_cat,
title = "How to Tango with Django",
url = "http://www.tangowithdjango.com/")
frame_cat = add_cat("Other Frameworks", 32, 16)
add_page(cat = frame_cat,
title = "Bottle",
url = "http://bottlepy.org/docs/dev")
add_page(cat = frame_cat,
title = "Flask",
url = "http://flask.pocoo.org")
for c in Category.objects.all():
for p in Page.objects.filter(category = c):
print "- {0} - {1}".format(str(c), str(p))
def add_page(cat, title, url, views = 0):
p = Page.objects.get_or_create(category=cat, title = title)[0]
p.url = url
p.views = views
p.save()
return p
def add_cat(name, views=0, likes=0):
c = Category.objects.get_or_create(name=name)[0]
c.views = views
c.likes = likes
c.save()
return c
if __name__ == '__main__':
print "Starting Rango population script..."
populate()
| [
"zabensley@gmail.com"
] | zabensley@gmail.com |
ee07d967c8331e6b6516e6c3d52e314c2bc8839a | 50190bff7c01e703da4c47f4c462a08a30778da2 | /inventoryTool/inventoryTool/wsgi.py | a1e29eb026a2dc24b1385c96ec04b8400f92e66d | [] | no_license | arnavd2001/inventory-tool | 51d9a6da5d9ab2033aed925b33e5a159b33da359 | f1a191915757084eb873ae186e42232223e2f0a5 | refs/heads/main | 2023-06-19T05:05:21.085055 | 2021-07-11T16:38:47 | 2021-07-11T16:38:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 403 | py | """
WSGI config for inventoryTool project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.2/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'inventoryTool.settings')
application = get_wsgi_application()
| [
"chirayurathi4@gmail.com"
] | chirayurathi4@gmail.com |
d4d720aad96c5be06171cbbb998e28d8760d537a | e858cca58a19a4571ae239c3c00dfdf867e76622 | /better_drone_api/migrations/0005_stage_stage_id.py | 79d20466ee6bd1f60178ee9e83a61cbd3553c06d | [] | no_license | sudeep-sinha-hes/2021sp-better-drone-sudeep-sinha-hes | 2d6a9c881bb4f089b1c9b8807a8f8612bf9995f1 | 388dbc355eaf1ed5b26d3e183edcbede8c830fef | refs/heads/main | 2023-05-06T08:54:05.708881 | 2021-05-12T02:37:56 | 2021-05-12T02:37:56 | 366,570,270 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 430 | py | # Generated by Django 3.2.2 on 2021-05-10 19:10
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('better_drone_api', '0004_auto_20210510_1857'),
]
operations = [
migrations.AddField(
model_name='stage',
name='stage_id',
field=models.IntegerField(default=-1),
preserve_default=False,
),
]
| [
"ssinha@squarespace.com"
] | ssinha@squarespace.com |
df7fd05f0a9a837110aabf93f811e9f0522e6c47 | 2bdb128188c40c670fd0a26ca8a447cae58a8848 | /tests/commands/test_command_sharer.py | 670f1b14dde21a3390b02c5eb845a98bb1b06c84 | [] | no_license | cl33per/chat_thief | 3de834cbb722a36f37c5e033e3f8c7672c325ec4 | afb7660eacb3b5f476367eb388b4e6981a49e54a | refs/heads/master | 2022-11-14T13:07:49.213617 | 2020-07-01T16:27:45 | 2020-07-01T16:27:45 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,401 | py | import pytest
from chat_thief.commands.command_sharer import CommandSharer
from chat_thief.models.user import User
from chat_thief.models.command import Command
from tests.support.database_setup import DatabaseConfig
class TestCommandSharer(DatabaseConfig):
def test_share(self):
user = User("fake_user")
user.update_cool_points(1)
command = Command("damn")
friend = User("bizmarkie")
command.allow_user(user.name)
assert user.name in command.users()
assert friend.name not in command.users()
subject = CommandSharer(
user=user.name, command=command.name, friend=friend.name,
)
subject.share()
assert user.name in command.users()
assert friend.name in command.users()
assert user.cool_points() == 0
assert command.cost() == 3
def test_broke_boi_share(self):
user = User("fake_user")
command = Command("damn")
friend = User("bizmarkie")
command.allow_user(user.name)
assert user.name in command.users()
assert friend.name not in command.users()
subject = CommandSharer(
user=user.name, command=command.name, friend=friend.name,
)
subject.share()
assert user.name in command.users()
assert friend.name not in command.users()
assert command.cost() == 1
| [
"davidmichaelbe@gmail.com"
] | davidmichaelbe@gmail.com |
6b953eabd9153431a406e11cb3110cd2fc9e0b4d | ee855f3e742778828809fd7097c892eb849a9b54 | /PythonServer/image.py | c4579d375763210ef2c3e3c9a4894409c2ad8460 | [] | no_license | seyahdoo/AndroMacro | dcd86fdb835c4f0644792f5bb50b2702a0552abd | 3e921f6749b6b38c9c974c0ccedc7eb58d5b4916 | refs/heads/master | 2020-03-27T08:52:59.393507 | 2018-08-27T13:09:02 | 2018-08-27T13:09:02 | 146,295,136 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 24 | py |
class Image:
pass
| [
"seyahdoo@gmail.com"
] | seyahdoo@gmail.com |
2c5633ab769bf20b5ae3575ae098ba9b6048e4bc | 6820a16eef223f31648ad66b1b77cf03f71b7248 | /Project/linear_regression/9x9-non-weighted.py | 48a423d14961b8b36df225d56a36dd14e81a8801 | [] | no_license | usmankiet98/Ai394 | e1a4daf9f283d260a1ba0f932781d729be4b68f7 | 86d7c4a35da5d216374bb1a654e677c1004b53fb | refs/heads/main | 2023-04-11T12:17:54.372365 | 2021-04-26T15:22:10 | 2021-04-26T15:22:10 | 350,694,786 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,072 | py | import numpy as np
import sklearn as sk
import pandas as pd
from sklearn.naive_bayes import MultinomialNB
from sklearn.model_selection import train_test_split
from sklearn import svm
from sklearn.svm import SVC
from sklearn import metrics
from sklearn.preprocessing import StandardScaler
from sklearn.neighbors import KNeighborsClassifier
from sklearn.model_selection import GridSearchCV
from sklearn.metrics import classification_report, accuracy_score
import math
train = pd.read_csv( "train.csv" )
A = train.drop( 'label',axis=1 )
B = train['label']
filter = np.array( [[1,1,1,1,1,1,1,1,1],
[1,1,1,1,1,1,1,1,1],
[1,1,1,1,1,1,1,1,1],
[1,1,1,1,1,1,1,1,1],
[1,1,1,1,1,1,1,1,1],
[1,1,1,1,1,1,1,1,1],
[1,1,1,1,1,1,1,1,1],
[1,1,1,1,1,1,1,1,1],
[1,1,1,1,1,1,1,1,1]] )
A = A.to_numpy( )
print( A.shape )
size = np.empty( ( 0,400 ), int )
def complaxity( image, filter ):
filter_a, filter_b = filter.shape
fNby2 = ( filter_a//2 )
n = 28
nn = n - ( fNby2 *2 )
new_image = np.zeros( ( nn,nn ) )
for i in range( 0,nn ):
for j in range( 0,nn ):
new_image[i][j] = np.sum( image[i:i+filter_a, j:j+filter_b]*filter )//25
return new_image
subset = 500
for img in A[0:subset,:]:
image_2d = np.reshape( img, ( 28,28 ) )
len_image = complaxity( image_2d,filter )
len_image_1d = np.reshape( len_image, ( -1,400 ) )
sA= np.append( sA, len_image_1d, axis=0 ) #size
B = B.to_numpy( )
sB = B[0:subset]
print( sB.shape )
print( sA.shape )
sATrain, sATest, yTrain, yTest = train_test_split( sA,sB,test_size=0.2,random_state=0 )
print( sATest.shape,", ",yTest.shape )
print( sATrain.shape,", ",yTrain.shape )
line = LinearRegression( )
line.fit( sATrain,yTrain )
line_prediction_b = Line.predict( sATest )
verify_line = metrics.r2_score( yTest,line_prediction_b )
print( 'Linear Regression Accuracy 9x9 unweighted' )
print( verify_line )
| [
"noreply@github.com"
] | noreply@github.com |
fb21e4714b35a21708dd10bbf7e8713cdec95421 | ae71e532468e861e3a9fcb90f613eddca267ace6 | /routes/class_reports.py | 72d6d93574c1858ca22af86f2c905041302f7431 | [
"CC-BY-4.0"
] | permissive | soon14/proms-4.0 | 0b4ed398125e529c13dc8f0d9b0c14e0348ae5c6 | 6c3a1fd62c9394761664e100fc1dde50fd79dc11 | refs/heads/master | 2020-09-23T20:33:56.716317 | 2019-06-09T04:01:29 | 2019-06-09T04:01:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,412 | py | from .class_incoming import IncomingClass
import io
import uuid
from rdflib import Graph, Namespace, URIRef, Literal, RDF, XSD
from . import api_functions
import modules.rulesets.reports as report_rulesets
import settings
from modules.ldapi import LDAPI
from datetime import datetime
class IncomingReport(IncomingClass):
def __init__(self, request):
IncomingClass.__init__(self, request)
self.type = None
self._generate_named_graph_uri()
def valid(self):
"""Validates an incoming Report using direct tests (can it be parsed?) and appropriate RuleSets"""
# try to parse the Report data
try:
#print([item[1] for item in LDAPI.MIMETYPES_PARSERS if item[0] == self.request.mimetype][0])
self.graph = Graph().parse(
#io.StringIO(self.request.data),
data=self.request.data.decode(encoding="utf-8"),
format=[item[1] for item in LDAPI.MIMETYPES_PARSERS if item[0] == self.request.mimetype][0]
)
except Exception as e:
self.error_messages = ['The serialised data cannot be parsed. Is it valid RDF?',
'Parser says: ' + str(e)]
return False
# try to determine Report type
result = self.graph.query('''
PREFIX proms: <http://promsns.org/def/proms#>
SELECT DISTINCT ?type WHERE {
?r a ?type .
FILTER (?type = proms:BasicReport || ?type = proms:ExternalReport || ?type = proms:InternalReport)
}
''')
if len(result) != 1:
self.error_messages = [
'Could not determine Report type. Must be one of proms:BasicReport, proms:ExternalReport or '
'proms:InternalReport'
]
return False
else:
for row in result:
self.type = str(row[0])
# choose RuleSet based on Report type
if self.type == 'http://promsns.org/def/proms#BasicReport':
conformant_report = report_rulesets.BasicReport(self.graph)
elif self.type == 'http://promsns.org/def/proms#ExternalReport':
conformant_report = report_rulesets.ExternalReport(self.graph)
else: # self.report_type == 'InternalReport':
conformant_report = report_rulesets.InternalReport(self.graph)
if not conformant_report.passed:
self.error_messages = conformant_report.fail_reasons
return False
# if the Report has been parsed, we have found the Report type and it's passed it's relevant RuleSet, it's valid
return True
def determine_uri(self):
"""Determines the URI for this Report"""
# TODO: replace these two SPARQL queries with one, use the inverse of the "placeholder" find
# if this Report has a placeholder URI, generate a new one
q = '''
SELECT ?uri
WHERE {
{ ?uri a <http://promsns.org/def/proms#BasicReport> . }
UNION
{ ?uri a <http://promsns.org/def/proms#ExternalReport> . }
UNION
{ ?uri a <http://promsns.org/def/proms#InternalReport> . }
FILTER regex(str(?uri), "placeholder")
}
'''
uri = None
for r in self.graph.query(q):
uri = r['uri']
if uri is not None:
self._generate_new_uri(uri)
else:
# since it has an existing URI, not a placeholder one, use the existing one
q = '''
SELECT ?uri
WHERE {
{ ?uri a <http://promsns.org/def/proms#BasicReport> . }
UNION
{ ?uri a <http://promsns.org/def/proms#ExternalReport> . }
UNION
{ ?uri a <http://promsns.org/def/proms#InternalReport> . }
}
'''
for r in self.graph.query(q):
self.uri = r['uri']
return True
def _generate_new_uri(self, old_uri):
# ask PROMS Server for a new Report URI
new_uri = settings.REPORT_BASE_URI + str(uuid.uuid4())
self.uri = new_uri
# add that new URI to the in-memory graph
api_functions.replace_uri(self.graph, old_uri, new_uri)
def _generate_named_graph_uri(self):
self.named_graph_uri = settings.REPORT_NAMED_GRAPH_BASE_URI + str(uuid.uuid4())
def generate_named_graph_metadata(self):
PROV = Namespace('http://www.w3.org/ns/prov#')
self.graph.bind('prov', PROV)
PROMS = Namespace('http://promsns.org/def/proms#')
self.graph.bind('proms', PROMS)
DCT = Namespace('http://purl.org/dc/terms/')
self.graph.bind('dct', DCT)
self.graph.add((
URIRef(self.named_graph_uri),
RDF.type,
PROMS.ReportNamedGraph
))
# ... the date this Report was sent to this PROMS Server
self.graph.add((
URIRef(self.named_graph_uri),
DCT.dateSubmitted,
Literal(datetime.now().isoformat(), datatype=XSD.dateTime)
))
# ... who contributed this Report
self.graph.add((
URIRef(self.named_graph_uri),
DCT.contributor,
URIRef(self.request.remote_addr)
))
| [
"m13001282105@163.com"
] | m13001282105@163.com |
ce70f4e66df02d6569e8a818e29235dbe3be766b | d0e88ce8bb8a1c3da3337a85265eb9cfaa98fef6 | /example1.py | ac283ba640d3405be19c9cb407e3957568ecd9bd | [] | no_license | marina311/telegram_bot | 7bfa5211232f56582e1b3b4d4bfa5b642f16ab90 | e0f541ce968acaef5ee61fc23eb7a135251e9b74 | refs/heads/master | 2022-05-28T03:30:09.031747 | 2020-04-30T14:33:50 | 2020-04-30T14:33:50 | 259,322,916 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,242 | py | from auth_data import *
# Импортируем необходимые классы.
from telegram.ext import Updater, MessageHandler, Filters
from telegram.ext import CallbackContext, CommandHandler
# Определяем функцию-обработчик сообщений.
# У неё два параметра, сам бот и класс updater, принявший сообщение.
def echo(update, context):
# У объекта класса Updater есть поле message,
# являющееся объектом сообщения.
# У message есть поле text, содержащее текст полученного сообщения,
# а также метод reply_text(str),
# отсылающий ответ пользователю, от которого получено сообщение.
update.message.reply_text(update.message.text)
def main():
# Создаём объект updater.
# Вместо слова "TOKEN" надо разместить полученный от @BotFather токен
updater = Updater(TOKEN, use_context=True)
# Получаем из него диспетчер сообщений.
dp = updater.dispatcher
# Создаём обработчик сообщений типа Filters.text
# из описанной выше функции echo()
# После регистрации обработчика в диспетчере
# эта функция будет вызываться при получении сообщения
# с типом "текст", т. е. текстовых сообщений.
text_handler = MessageHandler(Filters.text, echo)
# Регистрируем обработчик в диспетчере.
dp.add_handler(text_handler)
# Запускаем цикл приема и обработки сообщений.
updater.start_polling()
# Ждём завершения приложения.
# (например, получения сигнала SIG_TERM при нажатии клавиш Ctrl+C)
updater.idle()
# Запускаем функцию main() в случае запуска скрипта.
if __name__ == '__main__':
main() | [
"marina311@mail.ru"
] | marina311@mail.ru |
e0c4303817cf68a2e65123fc103a550fb575c7ba | feba51beeab37e9981e78b342fc368da39dee3bc | /example/env/lib/python2.7/site-packages/pycipher/columnartransposition.py | f8c4e2b58200ab976c89208ec92a1414d5e8b4be | [] | no_license | INoLiao/cryptography | 94e0a42bc6568ba682c653792d76ea11c3733011 | 11c127fd5188dab973c0c976bb9bb717bedadd17 | refs/heads/master | 2022-07-08T23:03:30.544756 | 2020-05-16T19:21:35 | 2020-05-16T19:21:35 | 264,510,007 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,939 | py | '''
implements Columnar transposition cipher
Author: James Lyons
Created: 2012-04-28
'''
from pycipher.base import Cipher
####################################################################################
class ColTrans(Cipher):
"""The Columnar Transposition Cipher is a fractionating cipher, and has a key consisting of a word e.g. 'GERMAN'
For more information, the algorithm can be
seen e.g. http://www.practicalcryptography.com/ciphers/columnar-transposition-cipher/ .
:param key: The keyword, any word or phrase will do. Must consist of alphabetical characters only, no punctuation of numbers.
"""
def __init__(self,keyword='GERMAN'):
self.keyword = keyword.upper()
assert len(keyword)>0, 'invalid keyword in init: should be >= 1'
# return the sorted indices of a word e.g. 'german' = [2,1,5,3,0,4] '''
def sortind(self,word):
t1 = [(word[i],i) for i in range(len(word))]
t2 = [(k[1],i) for i,k in enumerate(sorted(t1))]
return [q[1] for q in sorted(t2)]
# return the unsorted indices of a word '''
def unsortind(self,word):
t1 = [(word[i],i) for i in range(len(word))]
return [q[1] for q in sorted(t1)]
def encipher(self,string):
"""Encipher string using Columnar Transposition cipher according to initialised key. Punctuation and whitespace
are removed from the input.
Example::
ciphertext = ColTrans('GERMAN').encipher(plaintext)
:param string: The string to encipher.
:returns: The enciphered string.
"""
string = self.remove_punctuation(string)
ret = ''
ind = self.sortind(self.keyword)
for i in range(len(self.keyword)):
ret += string[ind.index(i)::len(self.keyword)]
return ret
# deciphering is messy because the columns may be ragged '''
def decipher(self,string):
'''Decipher string using Columnar Transposition cipher according to initialised key. Punctuation and whitespace
are removed from the input.
Example::
plaintext = ColTrans('GERMAN').decipher(ciphertext)
:param string: The string to decipher.
:returns: The deciphered string.
'''
string = self.remove_punctuation(string)
ret = ['_']*len(string)
L,M = len(string),len(self.keyword)
ind = self.unsortind(self.keyword)
upto = 0
for i in range(len(self.keyword)):
thiscollen = (int)(L/M)
if ind[i]< L%M: thiscollen += 1
ret[ind[i]::M] = string[upto:upto+thiscollen]
upto += thiscollen
return ''.join(ret)
if __name__ == '__main__':
print('use "import pycipher" to access functions') | [
"ino.liao@gmail.com"
] | ino.liao@gmail.com |
812dc013d453862dbb958e4a563834e0d7e6aba7 | 20827a41854aef2820401b2affb47ed77ce6406a | /sights/migrations/0004_auto__chg_field_variable_description__chg_field_variable_type.py | fb4b06481d7b4fdf8eb54f01041b760ad6120db6 | [] | no_license | Science-o-matic/MedJellyDataBackend | 7e12b00b1bd4b5207b5983709845a8549c1209ae | 0320ece65fc2441214b97505c19b069e5799b8cc | refs/heads/master | 2021-03-12T19:18:05.315267 | 2017-08-02T09:05:12 | 2017-08-02T09:05:12 | 10,324,052 | 0 | 0 | null | 2013-07-04T10:34:10 | 2013-05-27T23:03:31 | Python | UTF-8 | Python | false | false | 3,599 | py | # -*- 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):
# Changing field 'Variable.description'
db.alter_column(u'sights_variable', 'description', self.gf('django.db.models.fields.CharField')(max_length=300))
# Changing field 'Variable.type'
db.alter_column(u'sights_variable', 'type', self.gf('django.db.models.fields.CharField')(max_length=300))
def backwards(self, orm):
# Changing field 'Variable.description'
db.alter_column(u'sights_variable', 'description', self.gf('django.db.models.fields.CharField')(max_length=1000))
# Changing field 'Variable.type'
db.alter_column(u'sights_variable', 'type', self.gf('django.db.models.fields.CharField')(max_length=1000))
models = {
u'sights.beach': {
'Meta': {'object_name': 'Beach'},
'city': ('django.db.models.fields.CharField', [], {'max_length': '1000', 'blank': 'True'}),
'code': ('django.db.models.fields.CharField', [], {'max_length': '20'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '1000'}),
'owner': ('django.db.models.fields.CharField', [], {'max_length': '1000', 'blank': 'True'})
},
u'sights.measureunits': {
'Meta': {'object_name': 'MeasureUnits'},
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '1000'})
},
u'sights.sight': {
'Meta': {'object_name': 'Sight'},
'beach': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['sights.Beach']"}),
'comments': ('django.db.models.fields.TextField', [], {'blank': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'timestamp': ('django.db.models.fields.DateTimeField', [], {})
},
u'sights.sightvariables': {
'Meta': {'object_name': 'SightVariables'},
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'sight': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['sights.Sight']"}),
'value': ('django.db.models.fields.FloatField', [], {}),
'variable': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['sights.Variable']"})
},
u'sights.variable': {
'Meta': {'object_name': 'Variable'},
'beach': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['sights.Beach']"}),
'code': ('django.db.models.fields.CharField', [], {'max_length': '20'}),
'description': ('django.db.models.fields.CharField', [], {'max_length': '300'}),
'group': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['sights.VariablesGroup']"}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'type': ('django.db.models.fields.CharField', [], {'max_length': '300'})
},
u'sights.variablesgroup': {
'Meta': {'object_name': 'VariablesGroup'},
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '1000'})
}
}
complete_apps = ['sights'] | [
"antonio.barcia@gmail.com"
] | antonio.barcia@gmail.com |
a146c05b1751eaa8b7ae1d30607ce534ccdb1961 | caa93d8a104624c0513ca606c50ba7fee38a60d4 | /tropycal_model_hack/main.py | e9a132b04493a24f46779e257e9baff9d16e58e7 | [] | no_license | ahuang11/tropycal_model_hack | c620f82c97e8fd1d325312a15162fd38c5e88975 | 59982338c4c623c573343305dee479d034d15960 | refs/heads/master | 2022-12-07T11:08:24.212818 | 2020-09-02T23:00:47 | 2020-09-02T23:00:47 | 290,321,971 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,628 | py | import os
import glob
import pickle
import argparse
import matplotlib
matplotlib.use('agg')
import pandas as pd
import cartopy.crs as ccrs
import matplotlib.pyplot as plt
import tropycal.tracks as tracks
COLUMNS = ['basin', 'number', 'init', 'technum', 'tech', 'tau',
'lat', 'lon', 'vmax', 'mslp', 'level', 'rad', 'windcode', 'rad1',
'rad2', 'rad3', 'rad4', 'radp', 'rrp', 'mrd', 'gusts', 'eye',
'subregion', 'maxseas', 'initials', 'dir', 'speed', 'stormname',
'depth', 'seas', 'seascode', 'seas1', 'seas2', 'seas3', 'seas4']
DATA_DIR = os.path.join(os.path.dirname(os.path.realpath(__file__)), 'data')
CACHED_FP = os.path.join(DATA_DIR, 'storm.pkl')
def _scale_lat_lon(df, col, endswith):
idx = df[col].astype(str).str.endswith(endswith)
if sum(idx) == 0: # all False (no matches)
return df
scaler = -0.1 if endswith in ['W', 'S'] else 0.1
df.loc[idx, col] = (
df.loc[idx, col].str[:-1] # strip the one letter (N/S/E/W)
.astype(float) * scaler)
return df
def plot_global_tracks(track_filenames, output_image, tag):
fig = plt.figure(figsize=(10, 6))
ax = plt.axes(projection=ccrs.PlateCarree())
for in_fp in track_filenames:
# read local data, rename, and create cols
df = pd.read_csv(in_fp, header=None, names=COLUMNS)
df = df.drop_duplicates(['init', 'tech', 'tau'], keep='first')
latlon_dirs = [('lat', 'N'), ('lat', 'S'),
('lon', 'E'), ('lon', 'W')]
for latlon, endswith in latlon_dirs:
df = _scale_lat_lon(df, latlon, endswith)
for tech, df_group in df.groupby('tech'):
if tech == ' C00Z':
_ = ax.plot(df_group['lon'], df_group['lat'], c='whitesmoke',
transform=ccrs.PlateCarree(), zorder=10)
df_subset = df_group.loc[df_group['vmax'] > 64]
if len(df_subset):
_ = ax.plot(
df_subset['lon'], df_subset['lat'], c='red',
transform=ccrs.PlateCarree(), zorder=20)
else:
_ = ax.plot(df_group['lon'], df_group['lat'], c='gray',
transform=ccrs.PlateCarree())
ax.set_ylim(-60, 60)
if tag:
ax.text(-180, -60, tag, ha='left', va='bottom',
transform=ccrs.PlateCarree(),
color='white')
ax.background_img(name='BM', resolution='high')
plt.savefig(output_image, bbox_inches='tight', pad_inches=0)
def plot_forecast_cone(in_fp, out_fp, storm_label=None):
"""
Repopulate tropycal storm dict with local model data; then
invoke plot_nhc_forecast and outputs a TC track cone forecast figure.
Args:
in_fp (str) - input filepath
out_fp (str) - output filepath
storm_label (str) - storm label; if not provided, use default tech
"""
try:
with open(CACHED_FP, 'rb') as f:
storm = pickle.load(f)
except Exception as e:
print(e)
# read nhc data for prepopulation
hurdat_atl = tracks.TrackDataset(
basin='north_atlantic', source='hurdat',
include_btk=False)
storm = hurdat_atl.get_storm(('michael', 2018))
with open(CACHED_FP, 'wb') as f:
pickle.dump(storm, f)
# read local data, rename, and create cols
df = pd.read_csv(in_fp, header=None, names=COLUMNS)
df = df.loc[df['tech'] == ' C00Z']
df = df.drop_duplicates(['tau'], keep='first')
df['ace'] = df['vmax'] ** 2 / 10000
df['date'] = (
pd.to_datetime(df['init'], format='%Y%m%d%H') +
pd.to_timedelta(df['tau'], unit='H'))
df['season'] = df['date'].dt.year
df['year'] = df['date'].dt.year
df['source'] = 'model'
df['source_info'] = 'FNMOC'
df['special'] = ''
df['type'] = 'TS'
df['extra_obs'] = 0
df['wmo_basin'] = df['basin']
latlon_dirs = [('lat', 'N'), ('lat', 'S'),
('lon', 'E'), ('lon', 'W')]
for latlon, endswith in latlon_dirs:
df = _scale_lat_lon(df, latlon, endswith)
df = df.rename(columns={
'stormname': 'name',
'tech': 'id',
'technum': 'operational_id',
'tau': 'fhr'
})
if storm_label is not None:
df['name'] = storm_label
else:
df['name'] = df['id']
print(storm.dict)
# replace values
for key in storm.dict:
if isinstance(storm.dict[key], (str, int, float)):
storm.dict[key] = df[key].unique()[0]
elif key == 'date':
storm.dict[key] = [pd_dt.to_pydatetime() for pd_dt in df[key]]
elif isinstance(storm.dict[key], list):
storm.dict[key] = df[key].values.tolist()
else:
storm.dict[key] = df[key].values
sub_df = df[['init', 'fhr', 'lat', 'lon', 'vmax', 'mslp', 'type']]
storm.forecast_dict = {}
# not really official forecast
# tropycal only uses OFCL for cone forecast
storm.forecast_dict['OFCL'] = {}
for init, group in sub_df.groupby('init'):
storm.forecast_dict['OFCL'][init] = (
group.drop(columns='init').to_dict('list'))
storm.forecast_dict['OFCL'][init]['init'] = pd.to_datetime(
init, format='%Y%m%d%H').to_pydatetime()
# to use plot_nhc_forecast CARQ is expected
storm.forecast_dict['CARQ'] = storm.forecast_dict['OFCL']
try:
ax = storm.plot_nhc_forecast(0, return_ax=True)
except Exception as e:
ax = storm.plot(return_ax=True)
plt.savefig(out_fp)
def plot_forecast_cone_cli():
parser = argparse.ArgumentParser(
description="""
Output a tropical cyclone forecast cone figure.
"""
)
parser.add_argument('in_fp', type=str, help='input filepath')
parser.add_argument('out_fp', type=str, help='output filepath')
parser.add_argument('storm_label', type=str, help='label of storm',
nargs='?', const=None, default=None)
kwargs = vars(parser.parse_args())
plot_forecast_cone(**kwargs)
def plot_global_tracks_cli():
parser = argparse.ArgumentParser(
description="""
Output a global tropical cyclone forecast figure.
"""
)
parser.add_argument('-o', '--output_image', type=str, help='output image')
parser.add_argument('-t', '--tag', type=str,
help='label on the bottom left')
parser.add_argument('track_filenames', nargs='+',
help='track filenames')
kwargs = vars(parser.parse_args())
plot_global_tracks(**kwargs)
| [
"noreply@github.com"
] | noreply@github.com |
d1a221633b0d8677e3bc0c5214f80ebf68748799 | 40a15f3c6b975a0c93ac393d0ca92a12a5bed1ed | /OMP.py | d5ab6e17a061b5f67fe406043ddb446f19fc9d41 | [] | no_license | tengteng-Lin/matrixHomework | 6ec80c2c64cb447cb4110be62bbc169ebd97c12e | ed78600c59a0260274d952be57784b1acea0a7b8 | refs/heads/master | 2023-01-13T16:49:07.465468 | 2020-11-11T12:34:32 | 2020-11-11T12:34:32 | 311,965,364 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,183 | py | #coding:utf-8
import math,time
import numpy as np
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif']=['SimHei']
plt.rcParams['axes.unicode_minus']=False
def cs_omp(y,A,K):
'''
:param y: 观测数据向量
:param A: 字典矩阵
:param K: 稀疏性指标
:return: 稀疏的信号向量x
'''
N = A.shape[1]
residual = y #初始化残差
index = np.zeros(N, dtype=int)
for i in range(N):
index[i] = -1
result = np.zeros((N, 1))
for j in range(K):
pos = np.argmax(np.fabs(np.dot(A.T,residual)))
index[pos] = 1
ASelected = A[:, index>=0]
xk = np.dot(np.linalg.pinv(ASelected), y)
residual = y-np.dot(ASelected, xk) #更新残差
result[index >= 0] = xk
return result
def experiment_1():
# experiment 1
k = 8
m = 20
n = 50
x = np.random.randn(n, 1)
x[:n - k] = 0
np.random.shuffle(x)
A = np.random.randn(m, n)
y = np.dot(A, x)
start = time.perf_counter()
result = cs_omp(y, A, k)
end = time.perf_counter()
print(result)
resultx = range(n)
plt.figure(1)
plt.title("Input:x")
for a, b in zip(resultx, x):
if (b != 0):
plt.text(a, b, b, ha='center', va='bottom')
plt.plot(resultx, x)
plt.show()
plt.figure(2)
plt.plot(resultx, result)
plt.title("y=Ax的K-稀疏解")
for a, b in zip(resultx, result):
if (b != 0):
plt.text(a, b, b, ha='center', va='bottom')
plt.show()
print("Runninh time: %s seconds" % (end - start))
# 验证阶段
yy = np.dot(A, result)
plt.figure(3)
plt.plot(range(m), y, label='观测信号')
plt.plot(range(m), yy, label='还原信号')
plt.legend()
plt.title("信号还原对比")
plt.show()
def experiment_2():
# experiment 2
k = 8
m = 20
n = 50
x = np.random.randn(n, 1)
x[:n - k] = 0
np.random.shuffle(x)
A = np.random.randn(m, n)
y = np.dot(A, x)
start = time.perf_counter()
cs_omp(y, A, k)
end = time.perf_counter()
print("Runninh time: %s seconds" % (end - start))
experiment_1()
# experiment_2() | [
"nanyi_Gu@163.com"
] | nanyi_Gu@163.com |
9535709abf88b3bbdab94e25bd9aad683cadde85 | 63b0fed007d152fe5e96640b844081c07ca20a11 | /ARC/ARC122/a.py | 9e9961e0f2d5cbd1eda85e6f6dbb01fe302c0653 | [] | no_license | Nikkuniku/AtcoderProgramming | 8ff54541c8e65d0c93ce42f3a98aec061adf2f05 | fbaf7b40084c52e35c803b6b03346f2a06fb5367 | refs/heads/master | 2023-08-21T10:20:43.520468 | 2023-08-12T09:53:07 | 2023-08-12T09:53:07 | 254,373,698 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 241 | py | n=int(input())
a=list(map(int,input().split()))
dp0=[0]
dp1=[0]
mod=10**9+7
x=0
y=1
for i in range(n):
p=a[i]
q=dp0[-1]
r=dp1[-1]
dp0.append(q+r+y*p)
dp1.append(q-x*p)
x,y=y,x+y
ans=(dp0[n]+dp1[n])%mod
print(ans)
| [
"ymdysk911@gmail.com"
] | ymdysk911@gmail.com |
66a91e069e433fe6749b553ace1b1cfe2a703151 | bad62c2b0dfad33197db55b44efeec0bab405634 | /sdk/sql/azure-mgmt-sql/azure/mgmt/sql/aio/operations/_restorable_dropped_databases_operations.py | c80d04d117ea91e660881b8a916c7bb7cfcefcdf | [
"MIT",
"LicenseRef-scancode-generic-cla",
"LGPL-2.1-or-later"
] | permissive | test-repo-billy/azure-sdk-for-python | 20c5a2486456e02456de17515704cb064ff19833 | cece86a8548cb5f575e5419864d631673be0a244 | refs/heads/master | 2022-10-25T02:28:39.022559 | 2022-10-18T06:05:46 | 2022-10-18T06:05:46 | 182,325,031 | 0 | 0 | MIT | 2019-07-25T22:28:52 | 2019-04-19T20:59:15 | Python | UTF-8 | Python | false | false | 8,928 | py | # pylint: disable=too-many-lines
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# --------------------------------------------------------------------------
from typing import Any, AsyncIterable, Callable, Dict, Optional, TypeVar
from azure.core.async_paging import AsyncItemPaged, AsyncList
from azure.core.exceptions import (
ClientAuthenticationError,
HttpResponseError,
ResourceExistsError,
ResourceNotFoundError,
ResourceNotModifiedError,
map_error,
)
from azure.core.pipeline import PipelineResponse
from azure.core.pipeline.transport import AsyncHttpResponse
from azure.core.rest import HttpRequest
from azure.core.tracing.decorator import distributed_trace
from azure.core.tracing.decorator_async import distributed_trace_async
from azure.core.utils import case_insensitive_dict
from azure.mgmt.core.exceptions import ARMErrorFormat
from ... import models as _models
from ..._vendor import _convert_request
from ...operations._restorable_dropped_databases_operations import build_get_request, build_list_by_server_request
T = TypeVar("T")
ClsType = Optional[Callable[[PipelineResponse[HttpRequest, AsyncHttpResponse], T, Dict[str, Any]], Any]]
class RestorableDroppedDatabasesOperations:
"""
.. warning::
**DO NOT** instantiate this class directly.
Instead, you should access the following operations through
:class:`~azure.mgmt.sql.aio.SqlManagementClient`'s
:attr:`restorable_dropped_databases` attribute.
"""
models = _models
def __init__(self, *args, **kwargs) -> None:
input_args = list(args)
self._client = input_args.pop(0) if input_args else kwargs.pop("client")
self._config = input_args.pop(0) if input_args else kwargs.pop("config")
self._serialize = input_args.pop(0) if input_args else kwargs.pop("serializer")
self._deserialize = input_args.pop(0) if input_args else kwargs.pop("deserializer")
@distributed_trace
def list_by_server(
self, resource_group_name: str, server_name: str, **kwargs: Any
) -> AsyncIterable["_models.RestorableDroppedDatabase"]:
"""Gets a list of restorable dropped databases.
:param resource_group_name: The name of the resource group that contains the resource. You can
obtain this value from the Azure Resource Manager API or the portal. Required.
:type resource_group_name: str
:param server_name: The name of the server. Required.
:type server_name: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: An iterator like instance of either RestorableDroppedDatabase or the result of
cls(response)
:rtype:
~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.sql.models.RestorableDroppedDatabase]
:raises ~azure.core.exceptions.HttpResponseError:
"""
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop("api_version", _params.pop("api-version", "2021-05-01-preview")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[_models.RestorableDroppedDatabaseListResult]
error_map = {
401: ClientAuthenticationError,
404: ResourceNotFoundError,
409: ResourceExistsError,
304: ResourceNotModifiedError,
}
error_map.update(kwargs.pop("error_map", {}) or {})
def prepare_request(next_link=None):
if not next_link:
request = build_list_by_server_request(
resource_group_name=resource_group_name,
server_name=server_name,
subscription_id=self._config.subscription_id,
api_version=api_version,
template_url=self.list_by_server.metadata["url"],
headers=_headers,
params=_params,
)
request = _convert_request(request)
request.url = self._client.format_url(request.url) # type: ignore
else:
request = HttpRequest("GET", next_link)
request = _convert_request(request)
request.url = self._client.format_url(request.url) # type: ignore
request.method = "GET"
return request
async def extract_data(pipeline_response):
deserialized = self._deserialize("RestorableDroppedDatabaseListResult", pipeline_response)
list_of_elem = deserialized.value
if cls:
list_of_elem = cls(list_of_elem)
return deserialized.next_link or None, AsyncList(list_of_elem)
async def get_next(next_link=None):
request = prepare_request(next_link)
pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response, error_format=ARMErrorFormat)
return pipeline_response
return AsyncItemPaged(get_next, extract_data)
list_by_server.metadata = {"url": "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Sql/servers/{serverName}/restorableDroppedDatabases"} # type: ignore
@distributed_trace_async
async def get(
self, resource_group_name: str, server_name: str, restorable_dropped_database_id: str, **kwargs: Any
) -> _models.RestorableDroppedDatabase:
"""Gets a restorable dropped database.
:param resource_group_name: The name of the resource group that contains the resource. You can
obtain this value from the Azure Resource Manager API or the portal. Required.
:type resource_group_name: str
:param server_name: The name of the server. Required.
:type server_name: str
:param restorable_dropped_database_id: Required.
:type restorable_dropped_database_id: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: RestorableDroppedDatabase or the result of cls(response)
:rtype: ~azure.mgmt.sql.models.RestorableDroppedDatabase
:raises ~azure.core.exceptions.HttpResponseError:
"""
error_map = {
401: ClientAuthenticationError,
404: ResourceNotFoundError,
409: ResourceExistsError,
304: ResourceNotModifiedError,
}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = kwargs.pop("headers", {}) or {}
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
api_version = kwargs.pop("api_version", _params.pop("api-version", "2021-05-01-preview")) # type: str
cls = kwargs.pop("cls", None) # type: ClsType[_models.RestorableDroppedDatabase]
request = build_get_request(
resource_group_name=resource_group_name,
server_name=server_name,
restorable_dropped_database_id=restorable_dropped_database_id,
subscription_id=self._config.subscription_id,
api_version=api_version,
template_url=self.get.metadata["url"],
headers=_headers,
params=_params,
)
request = _convert_request(request)
request.url = self._client.format_url(request.url) # type: ignore
pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response, error_format=ARMErrorFormat)
deserialized = self._deserialize("RestorableDroppedDatabase", pipeline_response)
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
get.metadata = {"url": "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Sql/servers/{serverName}/restorableDroppedDatabases/{restorableDroppedDatabaseId}"} # type: ignore
| [
"noreply@github.com"
] | noreply@github.com |
0d4e60d885543dcabc06218fa4d8f5bd6c1b7c02 | cfc52686367034fe81a21152432d98b757d402b1 | /LevelOne/문자열 다루기 기본.py | e43d800869c061f43378e7782da020b443f132ec | [] | no_license | minm063/CodeTest | 4fadd513c90f58747bd9e1d93eb7b6d15abd2dd4 | 99406304f51cd15f5b156fd7f669b0e994c3f4ff | refs/heads/main | 2023-04-02T02:09:44.860628 | 2021-04-10T11:05:13 | 2021-04-10T11:05:13 | 302,225,032 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 168 | py | def solution(s):
if len(s)==4 or len(s)==6:
if s.isnumeric():
return True
else:
return False
else:
return False
| [
"noreply@github.com"
] | noreply@github.com |
b0872297a1e973e7d2596a15ea16d2b7785cd1ce | 7f3c27d6bf8fb138ecbfaef2f36787bb3b1e8566 | /photon_arrival_time_colls2.py | 4c101375b2e149fee684ecf683b6a1c3ffd5ddbd | [] | no_license | gitcheng/rayTraceNotebook | f2644ed70d35a69e21685ed705424b87ecde739e | 5c9bb4ac65870287e7a9cc15ff3c7bc763de90b5 | refs/heads/master | 2021-01-15T13:44:54.206320 | 2015-03-25T01:18:55 | 2015-03-25T01:18:55 | 24,906,596 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,500 | py | # -*- coding: utf-8 -*-
# <nbformat>3.0</nbformat>
# <markdowncell>
# <h1>Photon arrival time</h1>
#
# * Use data produced by <b><code>scripts/time\_geom2\_hex\_*.py</code></b> and <b><code>scripts/time\_geom2\_rect\_*.py</code></b>
# * Geometry defined in <b><code>geometry_collection_2</code></b>
# <codecell>
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
import pickle
# <codecell>
%load_ext autoreload
%autoreload 2
# <codecell>
hexdata= {}
for mat in ['lyso','baf2','csi']:
for sur in ['po','ra']:
for sd in ['3','9']:
key= mat+sur+sd
filename= '../data/timing/time_geom2_hex_%s.npy'%(key)
data = np.load(filename).view(np.recarray)
hexdata[key]= data
print '%s population : %d'%(key,len(data))
# <codecell>
rectdata= {}
for mat in ['lyso','baf2','csi']:
for sur in ['po','ra']:
for lg in [1,2,3]:
key= mat+sur+str(lg)
filename= '../data/timing/time_geom2_rect_%s.npy'%(key)
data = np.load(filename).view(np.recarray)
rectdata[key]= data
print '%s population : %d'%(key,len(data))
# <codecell>
cnames=dict(lyso='LYSO', baf2='BaF2', csi='CsI')
snames=dict(ra9='Roughened', po9='Polished')
# <codecell>
attris= dict(bins=np.linspace(0,40,81), histtype='step')
fig= plt.figure(figsize=(12,4))
for i,mat in enumerate(['baf2','lyso','csi']):
ax = fig.add_subplot(131+i)
for sur in ['po9','ra9']:
at= hexdata[mat+sur]
plt.hist(at.t, label=snames[sur], lw=2, **attris)
ax.set_yscale('log')
ax.legend()
ax.set_title(cnames[mat])
ax.set_xlabel('ns')
fig.savefig('../plots/arrtimes_hex_colls2.pdf')
# <codecell>
attris= dict(bins=np.linspace(0,15,61), histtype='step')
labels= dict(po1='Polished 10 mm',po3='Polished 30 mm',ra1='Roughened 10 mm',ra3='Roughened 30 mm')
colors= dict(po1='b',po3='g',ra1='r',ra3='c')
fig= plt.figure(figsize=(12,4))
for i,mat in enumerate(['baf2','lyso','csi']):
ax = fig.add_subplot(131+i)
for sur in ['po','ra']:
for lg in [1,3]:
at= rectdata[mat+sur+str(lg)]
key= sur+str(lg)
plt.hist(at.t, label=labels[key], color=colors[key], lw=2, **attris)
ax.set_yscale('log')
ax.legend()
ax.set_title(cnames[mat])
ax.set_xlabel('ns')
ax.set_xlim(0,15)
fig.savefig('../plots/arrtimes_rect_colls2.pdf')
# <codecell>
# <codecell>
rand = np.random
from timing_utilities import *
from geometry_collection_2 import *
from gen_utilities import *
# <codecell>
def draw_one_set(ax, dtpop, scinttau, npe0, pulsemodel, title):
draw_pulse_samples(ax, dtpop, npe0= npe0, scinttau= scinttau, jittersigma= 0.1, noise= 0, pulsemodel= pulsemodel, n=20,
color='b', alpha=0.2)
ax.set_title(title)
# <codecell>
## Scintillator decay time
tau_baf2 = 0.9
tau_lyso = 40
tau_csi = 30
## photoelectrons for these samples
npe_baf2 = 200
npe_lyso = 4000
npe_csi = 200
# <codecell>
slapd9mm = pulse_model('../data/SLAPD_RiseTime_20140926.csv', 'time_ns', 'slapd9mm', normtype='peak')
stdapd9mm = pulse_model('../data/SLAPD_RiseTime_20140926.csv', 'time_ns', 'stdapd9mm', normtype='peak')
slapd3mm = pulse_model('../data/SLAPD_RiseTime_20140926.csv', 'time_ns', 'slapd3mm', normtype='peak')
# Fill in points using linear interpolation
slapd9mm = fill_pmodel_gaps(slapd9mm, ndivs=5)
stdapd9mm = fill_pmodel_gaps(stdapd9mm, ndivs=5)
slapd3mm = fill_pmodel_gaps(slapd3mm, ndivs=5)
slapd9mm= slapd9mm[slapd9mm.t>=0]
slapd3mm= slapd3mm[slapd3mm.t>=0]
stdapd9mm= stdapd9mm[stdapd9mm.t>=0]
# <codecell>
t= slapd9mm.t[slapd9mm.t>=0]
ps= pulse_shape_simple(t, 6.0, 15.0, 10)
pream= np.array(zip(t,ps), dtype=slapd9mm.dtype).view(np.recarray)
plt.plot(pream.t, pream.p)
plt.title('Preamp model');
plt.xlabel('ns');
plt.ylabel('Arbitrary unit')
plt.savefig('../plots/preamp_model_6_15.pdf')
# <codecell>
pmslapd9mm= convolve_two_pulse_model(slapd9mm, pream)
pmslapd3mm= convolve_two_pulse_model(slapd3mm, pream)
pmstdapd9mm= convolve_two_pulse_model(stdapd9mm, pream)
# <codecell>
plt.plot(pmslapd9mm.t, pmslapd9mm.p/pmslapd9mm.p.max(), label='SL-APD 9mm');
plt.plot(pmslapd9mm.t, pmstdapd9mm.p/pmstdapd9mm.p.max(), label='STD-APD 9mm');
plt.plot(pmslapd9mm.t, pmslapd3mm.p/pmslapd3mm.p.max(), label='SL-APD 3mm');
plt.xlim(0,200)
plt.ylim(-0.2,1.1)
plt.plot([0,200],[0,0], 'k-')
plt.legend()
plt.xlabel('ns');
plt.title('APD+Preamp response time');
plt.savefig('../plots/apd_preamp_response_time.pdf')
# <codecell>
apdmodel= pmslapd3mm
fig= plt.figure(figsize=(12,3.5))
ax= fig.add_subplot(131)
draw_one_set(ax, rectdata['baf2po3'].t, tau_baf2, npe_baf2, apdmodel, 'BaF2')
ax= fig.add_subplot(132)
draw_one_set(ax, rectdata['lysopo3'].t, tau_lyso, npe_lyso, apdmodel, 'LYSO')
ax= fig.add_subplot(133)
draw_one_set(ax, rectdata['csipo3'].t, tau_csi, npe_csi, apdmodel, 'CsI')
fig.savefig('../plots/event_pulses_preamp_rect_geocolls2.pdf')
# <codecell>
## photoelectrons for these samples
npe_baf2 = 1000
npe_lyso = 20000
npe_csi = 1000
apdmodel= pmslapd9mm
fig= plt.figure(figsize=(12,3.5))
ax= fig.add_subplot(131)
draw_one_set(ax, hexdata['baf2po9'].t, tau_baf2, npe_baf2, apdmodel, 'BaF2')
ax= fig.add_subplot(132)
draw_one_set(ax, hexdata['lysopo9'].t, tau_lyso, npe_lyso, apdmodel, 'LYSO')
ax= fig.add_subplot(133)
draw_one_set(ax, hexdata['csipo9'].t, tau_csi, npe_csi, apdmodel, 'CsI')
fig.savefig('../plots/event_pulses_preamp_hex_geocolls2.pdf')
# <codecell>
| [
"ahsiang.c@gmail.com"
] | ahsiang.c@gmail.com |
40f6ac93d8d20662057715e8f2cbaa97ea5555a2 | 850d778687e3692ab2a38d4d2227391d92c21e6b | /atcoder.jp/code-formula-2014-qualb/code_formula_2014_qualB_c/Main.py | 64274ab66ae68c3b570b2c37dd74d7c974e4130a | [] | no_license | Valkyrja3607/AtCoder | 77e2e5e66c0e8e12bb902c35f679119c6576fad7 | 9218a50b1eb83e4498845d15d9dda41fab90ed73 | refs/heads/master | 2023-07-15T20:38:52.911301 | 2018-05-30T17:56:22 | 2018-05-30T17:56:22 | 294,980,006 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 902 | py | a=input()
b=input()
n=len(a)
import collections
l1=collections.Counter(list(a))
l2=collections.Counter(list(b))
if l1!=l2:
print("NO")
exit()
cn=0
s1=[]
s2=[]
l=[]
for i,j in zip(a,b):
if i!=j:
s1.append(i)
s2.append(j)
cn+=1
else:
l.append(i)
c=collections.Counter(l)
ll=c.most_common()
stock=[list(tup) for tup in ll]
if cn>6:
print("NO")
else:
while len(s1)<6:
if len(s1)==n:
break
stock[0][1]-=1
s1.append(stock[0][0])
s2.append(stock[0][0])
if stock[0][1]==0:
del stock[0]
import itertools
cn=len(s1)
swaps=list(itertools.combinations(list(range(cn)),2))
for p in itertools.product(swaps,repeat=3):
s=s1.copy()
for i,j in p:
s[i],s[j]=s[j],s[i]
if s==s2:
print("YES")
exit()
print("NO")
| [
"purinjolly@gmail.com"
] | purinjolly@gmail.com |
098d0ead2935f83e1c9bb6331d974b2bb2b08474 | f92c74b694ba08b272576fdfb8afcfe5beb43157 | /seleniumbase/console_scripts/run.py | 36c1579414708f1297a78acf0c4206d53fe6f77d | [
"MIT"
] | permissive | priscilabertolazzi/SeleniumBase | e6842d4b048178a7cdcc9b4863b2fd26f9fab881 | 808ca141694939376d88ce3fac149e2e3f62942c | refs/heads/master | 2022-12-23T00:18:02.640208 | 2020-09-09T18:22:38 | 2020-09-09T18:22:38 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 31,260 | py | """
SeleniumBase console scripts runner
Usage:
seleniumbase [COMMAND] [PARAMETERS]
OR sbase [COMMAND] [PARAMETERS]
Examples:
sbase install chromedriver
sbase mkdir browser_tests
sbase mkfile new_test.py
sbase options
sbase convert old_webdriver_unittest.py
sbase print my_first_test.py -n
sbase translate my_first_test.py --zh -p
sbase extract-objects my_first_test.py
sbase inject-objects my_first_test.py
sbase objectify my_first_test.py
sbase revert-objects my_first_test.py
sbase encrypt
sbase decrypt
sbase download server
sbase grid-hub start
sbase grid-node start --hub=127.0.0.1
"""
import colorama
import sys
def show_usage():
show_basic_usage()
sc = ("")
sc += ('Type "sbase help [COMMAND]" for specific command info.\n')
sc += ('For info on all commands, type: "seleniumbase --help".\n')
sc += ('* (Use "pytest" for running tests) *\n')
c1 = colorama.Fore.BLUE + colorama.Back.LIGHTCYAN_EX
c2 = colorama.Fore.BLUE + colorama.Back.LIGHTGREEN_EX
c3 = colorama.Fore.BLUE + colorama.Back.LIGHTYELLOW_EX
c4 = colorama.Fore.MAGENTA + colorama.Back.LIGHTYELLOW_EX
cr = colorama.Style.RESET_ALL
sc = sc.replace("seleniumbase", c1 + "selenium" + c2 + "base" + cr)
sc = sc.replace("sbase", c1 + "s" + c2 + "base" + cr)
sc = sc.replace("pytest", c3 + "pytest" + cr)
sc = sc.replace("--help", c4 + "--help" + cr)
sc = sc.replace("help", c4 + "help" + cr)
print(sc)
def show_basic_usage():
from seleniumbase.console_scripts import logo_helper
seleniumbase_logo = logo_helper.get_seleniumbase_logo()
print(seleniumbase_logo)
print("%s" % get_version()[0:1])
print("")
sc = ("")
sc += ('Usage: "seleniumbase [COMMAND] [PARAMETERS]"\n')
sc += ('(simplified): "sbase [COMMAND] [PARAMETERS]"\n')
sc += ("\n")
sc += ("Commands:\n")
sc += (" install [DRIVER_NAME] [OPTIONS]\n")
sc += (" mkdir [DIRECTORY_NAME]\n")
sc += (" mkfile [FILE_NAME.py]\n")
sc += (" options (display common pytest options)\n")
sc += (" convert [PYTHON_WEBDRIVER_UNITTEST_FILE]\n")
sc += (" print [FILE] [OPTIONS]\n")
sc += (" translate [SB_PYTHON_FILE] [LANGUAGE] [ACTION]\n")
sc += (" extract-objects [SB_PYTHON_FILE]\n")
sc += (" inject-objects [SB_PYTHON_FILE] [OPTIONS]\n")
sc += (" objectify [SB_PYTHON_FILE] [OPTIONS]\n")
sc += (" revert-objects [SB_PYTHON_FILE]\n")
sc += (" encrypt (OR: obfuscate)\n")
sc += (" decrypt (OR: unobfuscate)\n")
sc += (" download server (Selenium Server JAR file)\n")
sc += (" grid-hub [start|stop] [OPTIONS]\n")
sc += (" grid-node [start|stop] --hub=[HUB_IP] [OPTIONS]\n")
sc += (' * (EXAMPLE: "sbase install chromedriver latest") *\n')
sc += ("")
c1 = colorama.Fore.BLUE + colorama.Back.LIGHTCYAN_EX
c2 = colorama.Fore.BLUE + colorama.Back.LIGHTGREEN_EX
cr = colorama.Style.RESET_ALL
sc = sc.replace("seleniumbase", c1 + "selenium" + c2 + "base" + cr)
sc = sc.replace("sbase", c1 + "s" + c2 + "base" + cr)
print(sc)
def show_install_usage():
c2 = colorama.Fore.BLUE + colorama.Back.LIGHTGREEN_EX
c3 = colorama.Fore.BLUE + colorama.Back.LIGHTYELLOW_EX
cr = colorama.Style.RESET_ALL
sc = (" " + c2 + "** " + c3 + "install" + c2 + " **" + cr)
print(sc)
print("")
print(" Usage:")
print(" seleniumbase install [DRIVER_NAME] [OPTIONS]")
print(" OR: sbase install [DRIVER_NAME] [OPTIONS]")
print(" (Drivers: chromedriver, geckodriver, edgedriver")
print(" iedriver, operadriver)")
print(" Options:")
print(" VERSION Specify the version.")
print(" (Default Chromedriver version = 2.44)")
print(' Use "latest" for the latest version.')
print(" -p OR --path Also copy the driver to /usr/local/bin")
print(" Example:")
print(" sbase install chromedriver")
print(" sbase install geckodriver")
print(" sbase install chromedriver 83.0.4103.39")
print(" sbase install chromedriver latest")
print(" sbase install chromedriver -p")
print(" sbase install chromedriver latest -p")
print(" Output:")
print(" Installs the chosen webdriver to seleniumbase/drivers/")
print(" (chromedriver is required for Chrome automation)")
print(" (geckodriver is required for Firefox automation)")
print(" (edgedriver is required for Microsoft Edge automation)")
print(" (iedriver is required for InternetExplorer automation)")
print(" (operadriver is required for Opera Browser automation)")
print("")
def show_mkdir_usage():
c2 = colorama.Fore.BLUE + colorama.Back.LIGHTGREEN_EX
c3 = colorama.Fore.BLUE + colorama.Back.LIGHTYELLOW_EX
cr = colorama.Style.RESET_ALL
sc = (" " + c2 + "** " + c3 + "mkdir" + c2 + " **" + cr)
print(sc)
print("")
print(" Usage:")
print(" seleniumbase mkdir [DIRECTORY_NAME]")
print(" OR: sbase mkdir [DIRECTORY_NAME]")
print(" Example:")
print(" sbase mkdir browser_tests")
print(" Output:")
print(" Creates a new folder for running SBase scripts.")
print(" The new folder contains default config files,")
print(" sample tests for helping new users get started,")
print(" and Python boilerplates for setting up customized")
print(" test frameworks.")
print("")
def show_mkfile_usage():
c2 = colorama.Fore.BLUE + colorama.Back.LIGHTGREEN_EX
c3 = colorama.Fore.BLUE + colorama.Back.LIGHTYELLOW_EX
cr = colorama.Style.RESET_ALL
sc = (" " + c2 + "** " + c3 + "mkfile" + c2 + " **" + cr)
print(sc)
print("")
print(" Usage:")
print(" seleniumbase mkfile [FILE_NAME.py]")
print(" OR: sbase mkfile [FILE_NAME.py]")
print(" Example:")
print(" sbase mkfile new_test.py")
print(" Options:")
print(" -b / --basic (Basic boilerplate / single-line test)")
print(" Language Options:")
print(" --en / --English | --zh / --Chinese")
print(" --nl / --Dutch | --fr / --French")
print(" --it / --Italian | --ja / --Japanese")
print(" --ko / --Korean | --pt / --Portuguese")
print(" --ru / --Russian | --es / --Spanish")
print(" Output:")
print(" Creates a new SBase test file with boilerplate code.")
print(" If the file already exists, an error is raised.")
print(" By default, uses English mode and creates a")
print(" boilerplate with the 5 most common SeleniumBase")
print(' methods, which are "open", "click", "update_text",')
print(' "assert_element", and "assert_text". If using the')
print(' basic boilerplate option, only the "open" method')
print(' is included.')
print("")
def show_convert_usage():
c2 = colorama.Fore.BLUE + colorama.Back.LIGHTGREEN_EX
c3 = colorama.Fore.BLUE + colorama.Back.LIGHTYELLOW_EX
cr = colorama.Style.RESET_ALL
sc = (" " + c2 + "** " + c3 + "convert" + c2 + " **" + cr)
print(sc)
print("")
print(" Usage:")
print(" seleniumbase convert [PYTHON_WEBDRIVER_UNITTEST_FILE]")
print(" OR: sbase convert [PYTHON_WEBDRIVER_UNITTEST_FILE]")
print(" Output:")
print(" Converts a Selenium IDE exported WebDriver unittest")
print(" file into a SeleniumBase file. Adds _SB to the new")
print(" file name while keeping the original file intact.")
print(" Works with Katalon Recorder scripts.")
print(" See: http://www.katalon.com/automation-recorder")
print("")
def show_print_usage():
c2 = colorama.Fore.BLUE + colorama.Back.LIGHTGREEN_EX
c3 = colorama.Fore.BLUE + colorama.Back.LIGHTYELLOW_EX
cr = colorama.Style.RESET_ALL
sc = (" " + c2 + "** " + c3 + "print" + c2 + " **" + cr)
print(sc)
print("")
print(" Usage:")
print(" seleniumbase print [FILE] [OPTIONS]")
print(" OR: sbase print [FILE] [OPTIONS]")
print(" Options:")
print(" -n (Add line Numbers to the rows)")
print(" Output:")
print(" Prints the code/text of any file")
print(" with syntax-highlighting.")
print("")
def show_translate_usage():
c2 = colorama.Fore.BLUE + colorama.Back.LIGHTGREEN_EX
c3 = colorama.Fore.BLUE + colorama.Back.LIGHTYELLOW_EX
cr = colorama.Style.RESET_ALL
sc = (" " + c2 + "** " + c3 + "translate" + c2 + " **" + cr)
print(sc)
print("")
print(" Usage:")
print(" seleniumbase translate [SB_FILE.py] [LANGUAGE] [ACTION]")
print(" OR: sbase translate [SB_FILE.py] [LANGUAGE] [ACTION]")
print(" Languages:")
print(" --en / --English | --zh / --Chinese")
print(" --nl / --Dutch | --fr / --French")
print(" --it / --Italian | --ja / --Japanese")
print(" --ko / --Korean | --pt / --Portuguese")
print(" --ru / --Russian | --es / --Spanish")
print(" Actions:")
print(" -p / --print (Print translation output to the screen)")
print(" -o / --overwrite (Overwrite the file being translated)")
print(" -c / --copy (Copy the translation to a new .py file)")
print(" Options:")
print(" -n (include line Numbers when using the Print action)")
print(" Output:")
print(" Translates a SeleniumBase Python file into the language")
print(' specified. Method calls and "import" lines get swapped.')
print(" Both a language and an action must be specified.")
print(' The "-p" action can be paired with one other action.')
print(' When running with "-c" (or "--copy"), the new file name')
print(' will be the orginal name appended with an underscore')
print(" plus the 2-letter language code of the new language.")
print(' (Example: Translating "test_1.py" into Japanese with')
print(' "-c" will create a new file called "test_1_ja.py".)')
print("")
def show_extract_objects_usage():
c2 = colorama.Fore.BLUE + colorama.Back.LIGHTGREEN_EX
c3 = colorama.Fore.BLUE + colorama.Back.LIGHTYELLOW_EX
cr = colorama.Style.RESET_ALL
sc = (" " + c2 + "** " + c3 + "extract-objects" + c2 + " **" + cr)
print(sc)
print("")
print(" Usage:")
print(" seleniumbase extract-objects [SELENIUMBASE_PYTHON_FILE]")
print(" OR: sbase extract-objects [SELENIUMBASE_PYTHON_FILE]")
print(" Output:")
print(" Creates page objects based on selectors found in a")
print(" seleniumbase Python file and saves those objects to the")
print(' "page_objects.py" file in the same folder as the tests.')
print("")
def show_inject_objects_usage():
c2 = colorama.Fore.BLUE + colorama.Back.LIGHTGREEN_EX
c3 = colorama.Fore.BLUE + colorama.Back.LIGHTYELLOW_EX
cr = colorama.Style.RESET_ALL
sc = (" " + c2 + "** " + c3 + "inject-objects" + c2 + " **" + cr)
print(sc)
print("")
print(" Usage:")
print(" seleniumbase inject-objects [SELENIUMBASE_PYTHON_FILE]")
print(" OR: sbase inject-objects [SELENIUMBASE_PYTHON_FILE]")
print(" Options:")
print(" -c, --comments (Add object selectors to the comments.)")
print(" (Default: No added comments.)")
print(" Output:")
print(' Takes the page objects found in the "page_objects.py"')
print(' file and uses those to replace matching selectors in')
print(' the selected seleniumbase Python file.')
print("")
def show_objectify_usage():
c2 = colorama.Fore.BLUE + colorama.Back.LIGHTGREEN_EX
c3 = colorama.Fore.BLUE + colorama.Back.LIGHTYELLOW_EX
cr = colorama.Style.RESET_ALL
sc = (" " + c2 + "** " + c3 + "objectify" + c2 + " **" + cr)
print(sc)
print("")
print(" Usage:")
print(" seleniumbase objectify [SELENIUMBASE_PYTHON_FILE]")
print(" OR: sbase objectify [SELENIUMBASE_PYTHON_FILE]")
print(" Options:")
print(" -c, --comments (Add object selectors to the comments.)")
print(" (Default: No added comments.)")
print(" Output:")
print(' A modified version of the file where the selectors')
print(' have been replaced with variable names defined in')
print(' "page_objects.py", supporting the Page Object Pattern.')
print("")
print(' (seleniumbase "objectify" has the same outcome as')
print(' combining "extract-objects" with "inject-objects")')
print("")
def show_revert_objects_usage():
c2 = colorama.Fore.BLUE + colorama.Back.LIGHTGREEN_EX
c3 = colorama.Fore.BLUE + colorama.Back.LIGHTYELLOW_EX
cr = colorama.Style.RESET_ALL
sc = (" " + c2 + "** " + c3 + "revert-objects" + c2 + " **" + cr)
print(sc)
print("")
print(" Usage:")
print(" seleniumbase revert-objects [SELENIUMBASE_PYTHON_FILE]")
print(" OR: sbase revert-objects [SELENIUMBASE_PYTHON_FILE]")
print(" Options:")
print(" -c, --comments (Keep existing comments for the lines.)")
print(" (Default: No comments are kept.)")
print(" Output:")
print(' Reverts the changes made by "seleniumbase objectify" or')
print(' "seleniumbase inject-objects" when run against a')
print(' seleniumbase Python file. Objects will get replaced by')
print(' selectors stored in the "page_objects.py" file.')
print("")
def show_encrypt_usage():
c2 = colorama.Fore.BLUE + colorama.Back.LIGHTGREEN_EX
c3 = colorama.Fore.BLUE + colorama.Back.LIGHTYELLOW_EX
cr = colorama.Style.RESET_ALL
sc = (" " + c2 + "** " + c3 + "encrypt OR obfuscate" + c2 + " **" + cr)
print(sc)
print("")
print(" Usage:")
print(" seleniumbase encrypt || seleniumbase obfuscate")
print(" --OR--")
print(" sbase encrypt || sbase obfuscate")
print(" Output:")
print(" Runs the password encryption/obfuscation tool.")
print(" (Where you can enter a password to encrypt/obfuscate.)")
print("")
def show_decrypt_usage():
c2 = colorama.Fore.BLUE + colorama.Back.LIGHTGREEN_EX
c3 = colorama.Fore.BLUE + colorama.Back.LIGHTYELLOW_EX
cr = colorama.Style.RESET_ALL
sc = (" " + c2 + "** " + c3 + "decrypt OR unobfuscate" + c2 + " **" + cr)
print(sc)
print("")
print(" Usage:")
print(" seleniumbase decrypt || seleniumbase unobfuscate")
print(" --OR--")
print(" sbase decrypt || sbase unobfuscate")
print(" Output:")
print(" Runs the password decryption/unobfuscation tool.")
print(" (Where you can enter an encrypted password to decrypt.)")
print("")
def show_download_usage():
c2 = colorama.Fore.BLUE + colorama.Back.LIGHTGREEN_EX
c3 = colorama.Fore.BLUE + colorama.Back.LIGHTYELLOW_EX
cr = colorama.Style.RESET_ALL
sc = (" " + c2 + "** " + c3 + "download" + c2 + " **" + cr)
print(sc)
print("")
print(" Usage:")
print(" seleniumbase download server")
print(" OR: sbase download server")
print(" Output:")
print(" Downloads the Selenium Standalone Server.")
print(" (Server is required for using your own Selenium Grid.)")
print("")
def show_grid_hub_usage():
c2 = colorama.Fore.BLUE + colorama.Back.LIGHTGREEN_EX
c3 = colorama.Fore.BLUE + colorama.Back.LIGHTYELLOW_EX
cr = colorama.Style.RESET_ALL
sc = (" " + c2 + "** " + c3 + "grid-hub" + c2 + " **" + cr)
print(sc)
print("")
print(" Usage:")
print(" seleniumbase grid-hub {start|stop|restart} [OPTIONS]")
print(" OR: sbase grid-hub {start|stop|restart} [OPTIONS]")
print(" Options:")
print(" -v, --verbose (Increase verbosity of logging output.)")
print(" (Default: Quiet logging / not verbose.)")
print(" --timeout=TIMEOUT (Close idle browser after TIMEOUT.)")
print(" (The default TIMEOUT: 230 seconds.)")
print(" (Use --timeout=0 to skip timeouts.)")
print(" Example:")
print(" seleniumbase grid-hub start")
print(" Output:")
print(" Controls the Selenium Grid Hub Server, which allows")
print(" for running tests on multiple machines in parallel")
print(" to speed up test runs and reduce the total time")
print(" of test suite execution.")
print(' You can "start" or "stop" the Grid Hub server.')
print("")
def show_grid_node_usage():
c2 = colorama.Fore.BLUE + colorama.Back.LIGHTGREEN_EX
c3 = colorama.Fore.BLUE + colorama.Back.LIGHTYELLOW_EX
cr = colorama.Style.RESET_ALL
sc = (" " + c2 + "** " + c3 + "grid-node" + c2 + " **" + cr)
print(sc)
print("")
print(" Usage:")
print(" seleniumbase grid-node {start|stop|restart} [OPTIONS]")
print(" OR: sbase grid-node {start|stop|restart} [OPTIONS]")
print(" Options:")
print(" --hub=[HUB_IP] (The Grid Hub IP Address to connect to.)")
print(" (Default: 127.0.0.1 if not set)")
print(" -v, --verbose (Increase verbosity of logging output.)")
print(" (Default: Quiet logging / not verbose.)")
print(" Example:")
print(" seleniumbase grid-node start --hub=127.0.0.1")
print(" Output:")
print(" Controls the Selenium Grid node, which serves as a")
print(" worker machine for your Selenium Grid Hub server.")
print(' You can "start" or "stop" the Grid node.')
print("")
def get_version():
import pkg_resources
version_info = None
try:
version_info = pkg_resources.require("seleniumbase")[0:1]
except Exception:
version_info = ["ERROR: Cannot detect version! Please reinstall!"]
return version_info
def show_version_info():
version = get_version()
print('\n%s\n' % version)
def show_options():
c1 = colorama.Fore.BLUE + colorama.Back.LIGHTCYAN_EX
c2 = colorama.Fore.BLUE + colorama.Back.LIGHTGREEN_EX
c3 = colorama.Fore.BLUE + colorama.Back.LIGHTYELLOW_EX
cr = colorama.Style.RESET_ALL
sc = ("\n " + c2 + " ** " + c3 + " pytest CMD Options " + c2 + " ** " + cr)
print(sc)
print("")
line = "Here are some common pytest options to use with SeleniumBase:"
line = c1 + line + cr
print(line)
print("")
print('--browser=BROWSER (The web browser to use. Default: "chrome".)')
print('--headless (Run tests headlessly. Default mode on Linux OS.)')
print('--demo (Slow down and visually see test actions as they occur.)')
print('--slow (Slow down the automation. Faster than using Demo Mode.)')
print('--reuse-session / --rs (Reuse the browser session between tests.)')
print('--crumbs (Delete all cookies between tests reusing a session.)')
print('--maximize (Start tests with the web browser window maximized.)')
print("--incognito (Enable Chrome's Incognito mode.)")
print("--guest (Enable Chrome's Guest mode.)")
print('-m MARKER (Run tests with the specified pytest marker.)')
print('-n NUM (Multithread the tests using that many threads.)')
print('-v (Verbose mode. Prints the full names of each test run.)')
print('--html=report.html (Create a detailed pytest-html report.)')
print('--collect-only / --co (Only show discovered tests. No run.)')
print('--co -q (Only show full names of discovered tests. No run.)')
print('--trace (Enter Debug Mode immediately after starting any test.')
print(' n: Next line of method. s: Step through. c: Continue.)')
print('--pdb (Enter Debug Mode if a test fails. h: Help. c: Continue.')
print(' where: Stacktrace location. u: Up stack. d: Down stack.')
print(' longlist: Stack code. dir(): List objects in namespace.)')
print('-x (Stop running the tests after the first failure is reached.)')
print('--archive-logs (Archive old log files instead of deleting them.)')
print('--save-screenshot (Save a screenshot at the end of each test.)')
print('--check-js (Check for JavaScript errors after page loads.)')
print('--start-page=URL (The browser start page when tests begin.)')
print("--agent=STRING (Modify the web browser's User-Agent string.)")
print('--mobile (Use the mobile device emulator while running tests.)')
print('--metrics=STRING (Set mobile "CSSWidth,CSSHeight,PixelRatio".)')
print('--ad-block (Block some types of display ads after page loads.)')
print('--settings-file=FILE (Override default SeleniumBase settings.)')
print('--env=ENV (Set the test env. Access with "self.env" in tests.)')
print('--data=DATA (Extra test data. Access with "self.data" in tests.)')
print('--disable-csp (Disable the Content Security Policy of websites.)')
print('--server=SERVER (The Selenium Grid server/IP used for tests.)')
print('--port=PORT (The Selenium Grid port used by the test server.)')
print('--proxy=SERVER:PORT (Connect to a proxy server:port for tests.)')
print('--proxy=USER:PASS@SERVER:PORT (Use authenticated proxy server.)')
print("")
line = 'For the full list of ' + c2 + 'command-line options' + cr
line += ', type: "' + c1 + 'pytest' + cr + ' ' + c3 + '--help' + cr + '".'
print(line)
print("")
def show_detailed_help():
c2 = colorama.Fore.BLUE + colorama.Back.LIGHTGREEN_EX
c3 = colorama.Fore.BLUE + colorama.Back.LIGHTYELLOW_EX
c6 = colorama.Back.CYAN
cr = colorama.Style.RESET_ALL
show_basic_usage()
print(c6 + " " + c2 + " Commands: " + c6 + " ")
print(cr)
show_install_usage()
show_mkdir_usage()
show_mkfile_usage()
show_convert_usage()
show_print_usage()
show_translate_usage()
show_extract_objects_usage()
show_inject_objects_usage()
show_objectify_usage()
show_revert_objects_usage()
show_encrypt_usage()
show_decrypt_usage()
show_download_usage()
show_grid_hub_usage()
show_grid_node_usage()
print('* (Use "' + c3 + 'pytest' + cr + '" for running tests) *\n')
def main():
command = None
command_args = None
num_args = len(sys.argv)
if num_args == 1:
show_usage()
return
elif num_args == 2:
command = sys.argv[1]
command_args = []
elif num_args > 2:
command = sys.argv[1]
command_args = sys.argv[2:]
command = command.lower()
if command == "install":
if len(command_args) >= 1:
from seleniumbase.console_scripts import sb_install
sb_install.main()
else:
show_basic_usage()
show_install_usage()
elif command == "mkdir":
if len(command_args) >= 1:
from seleniumbase.console_scripts import sb_mkdir
sb_mkdir.main()
else:
show_basic_usage()
show_mkdir_usage()
elif command == "mkfile":
if len(command_args) >= 1:
from seleniumbase.console_scripts import sb_mkfile
sb_mkfile.main()
else:
show_basic_usage()
show_mkfile_usage()
elif command == "convert":
if len(command_args) == 1:
from seleniumbase.utilities.selenium_ide import convert_ide
convert_ide.main()
else:
show_basic_usage()
show_convert_usage()
elif command == "print":
if len(command_args) >= 1:
if sys.version_info[0] == 2:
colorama.init(autoreset=True)
c5 = colorama.Fore.RED + colorama.Back.LIGHTYELLOW_EX
cr = colorama.Style.RESET_ALL
msg = '"sbase print" does NOT support Python 2! '
msg += 'Try using the Unix "cat" command instead!'
message = "\n" + c5 + msg + cr + "\n"
print("")
raise Exception(message)
from seleniumbase.console_scripts import sb_print
sb_print.main()
else:
show_basic_usage()
show_print_usage()
elif command == "translate":
if len(command_args) >= 1:
if sys.version_info[0] == 2:
colorama.init(autoreset=True)
c5 = colorama.Fore.RED + colorama.Back.LIGHTYELLOW_EX
cr = colorama.Style.RESET_ALL
msg = "The SeleniumBase Translator does NOT support Python 2!"
message = "\n" + c5 + msg + cr + "\n"
print("")
raise Exception(message)
from seleniumbase.translate import translator
translator.main()
else:
show_basic_usage()
show_translate_usage()
elif command == "extract-objects" or command == "extract_objects":
if len(command_args) >= 1:
from seleniumbase.console_scripts import objectify
objectify.extract_objects()
else:
show_basic_usage()
show_extract_objects_usage()
elif command == "inject-objects" or command == "inject_objects":
if len(command_args) >= 1:
from seleniumbase.console_scripts import objectify
objectify.inject_objects()
else:
show_basic_usage()
show_inject_objects_usage()
elif command == "objectify":
if len(command_args) >= 1:
from seleniumbase.console_scripts import objectify
objectify.objectify()
else:
show_basic_usage()
show_objectify_usage()
elif command == "revert-objects" or command == "revert_objects":
if len(command_args) >= 1:
from seleniumbase.console_scripts import objectify
objectify.revert_objects()
else:
show_basic_usage()
show_revert_objects_usage()
elif command == "encrypt" or command == "obfuscate":
if len(command_args) >= 0:
from seleniumbase.common import obfuscate
obfuscate.main()
else:
show_basic_usage()
show_encrypt_usage()
elif command == "decrypt" or command == "unobfuscate":
if len(command_args) >= 0:
from seleniumbase.common import unobfuscate
unobfuscate.main()
else:
show_basic_usage()
show_decrypt_usage()
elif command == "download":
if len(command_args) >= 1 and command_args[0].lower() == "server":
from seleniumbase.utilities.selenium_grid import (
download_selenium_server)
download_selenium_server.main(force_download=True)
else:
show_basic_usage()
show_download_usage()
elif command == "grid-hub" or command == "grid_hub":
if len(command_args) >= 1:
from seleniumbase.utilities.selenium_grid import grid_hub
grid_hub.main()
else:
show_basic_usage()
show_grid_hub_usage()
elif command == "grid-node" or command == "grid_node":
if len(command_args) >= 1:
from seleniumbase.utilities.selenium_grid import grid_node
grid_node.main()
else:
show_basic_usage()
show_grid_node_usage()
elif command == "version" or command == "--version":
if len(command_args) == 0:
show_version_info()
else:
show_basic_usage()
elif command == "options" or command == "--options":
show_options()
elif command == "help" or command == "--help":
if len(command_args) >= 1:
if command_args[0] == "install":
print("")
show_install_usage()
return
elif command_args[0] == "mkdir":
print("")
show_mkdir_usage()
return
elif command_args[0] == "mkfile":
print("")
show_mkfile_usage()
return
elif command_args[0] == "convert":
print("")
show_convert_usage()
return
elif command_args[0] == "print":
print("")
show_print_usage()
return
elif command_args[0] == "translate":
print("")
show_translate_usage()
return
elif command_args[0] == "extract-objects":
print("")
show_extract_objects_usage()
return
elif command_args[0] == "inject-objects":
print("")
show_inject_objects_usage()
return
elif command_args[0] == "objectify":
print("")
show_objectify_usage()
return
elif command_args[0] == "revert-objects":
print("")
show_revert_objects_usage()
return
elif command_args[0] == "encrypt":
print("")
show_encrypt_usage()
return
elif command_args[0] == "obfuscate":
print("")
show_encrypt_usage()
return
elif command_args[0] == "decrypt":
print("")
show_decrypt_usage()
return
elif command_args[0] == "unobfuscate":
print("")
show_decrypt_usage()
return
elif command_args[0] == "download":
print("")
show_download_usage()
return
elif command_args[0] == "grid-hub":
print("")
show_grid_hub_usage()
return
elif command_args[0] == "grid-node":
print("")
show_grid_node_usage()
return
show_detailed_help()
else:
show_usage()
if __name__ == "__main__":
main()
| [
"mdmintz@gmail.com"
] | mdmintz@gmail.com |
94ba1675679dd2384eecbd19de11aa0839105e84 | 2b026a53f9554ed2ce19198b313fcc8db9b73abb | /abc124/b/solver.py | 3237c31fb9ae090e456ac6631e6a3f81fa8d78b0 | [] | no_license | shinobe179/atcoder | 528b97c2e9a9cea6cccbf1de6d055bdd8e250191 | debd24ec73936ac9592b96f723a1cd73bb93067a | refs/heads/master | 2020-05-16T05:19:09.096587 | 2019-05-06T13:08:12 | 2019-05-06T13:08:12 | 182,812,943 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 322 | py | #!/home/shino/.anyenv/envs/pyenv/shims/python
import sys
N = int(input())
H_list = [ i for i in map(int, input().split()) ]
ans = 1
for i in range(1, N):
for j in range(N):
if j >= i:
break
if H_list[i] < H_list[j]:
break
if j == i-1:
ans += 1
print(ans)
| [
"befs.anne@gmail.com"
] | befs.anne@gmail.com |
2b2a5365ded67cf45fab0605f22b3c6a7c05d1f4 | 664d493346dea932d55ff010b480727b3e651e1d | /src/PA_OPS/wsgi.py | ea78c2bfa539e63236d5b172e0babb5149962049 | [] | no_license | rayxxh/PA_OPS | 474bc999b6140065f1ad128305172e204f49a942 | a79c307161a025be7f376b1534ee0c49f8070570 | refs/heads/master | 2020-12-31T05:10:25.723868 | 2016-05-12T05:11:32 | 2016-05-12T05:11:32 | 58,605,450 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 389 | py | """
WSGI config for PA_OPS project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/1.9/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "PA_OPS.settings")
application = get_wsgi_application()
| [
"rayxxh@gmail.com"
] | rayxxh@gmail.com |
61bb6c852fb15c15661258077e3474237b638133 | ed0dad18bc44bb98bcf784d2ccebd8311cf46203 | /src/data/__init__.py | 10b176f60fc5a8277110a15c1097a9c5c1322b1e | [
"MIT"
] | permissive | dankiy/mm-ml-2021 | 08ceafcf19c24e3b5fcf8952fb6b996a0f96b576 | cd49a1be79d4cbdbb3a7b207162d15fc850f34fb | refs/heads/main | 2023-09-02T11:44:13.170662 | 2021-10-09T12:13:52 | 2021-10-09T12:13:52 | 415,299,841 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 158 | py | from .scale import minmax, standard
from .split import train_test, cross_val
__all__ = [
"minmax",
"standard",
"train_test",
"cross_val",
]
| [
"iorsadg@gmail.com"
] | iorsadg@gmail.com |
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