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int64
max_stars_repo_stars_event_min_datetime
string
max_stars_repo_stars_event_max_datetime
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max_issues_repo_licenses
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int64
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string
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max_forks_repo_licenses
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int64
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string
avg_line_length
float64
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int64
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float64
qsc_code_num_words_quality_signal
int64
qsc_code_num_chars_quality_signal
float64
qsc_code_mean_word_length_quality_signal
float64
qsc_code_frac_words_unique_quality_signal
float64
qsc_code_frac_chars_top_2grams_quality_signal
float64
qsc_code_frac_chars_top_3grams_quality_signal
float64
qsc_code_frac_chars_top_4grams_quality_signal
float64
qsc_code_frac_chars_dupe_5grams_quality_signal
float64
qsc_code_frac_chars_dupe_6grams_quality_signal
float64
qsc_code_frac_chars_dupe_7grams_quality_signal
float64
qsc_code_frac_chars_dupe_8grams_quality_signal
float64
qsc_code_frac_chars_dupe_9grams_quality_signal
float64
qsc_code_frac_chars_dupe_10grams_quality_signal
float64
qsc_code_frac_chars_replacement_symbols_quality_signal
float64
qsc_code_frac_chars_digital_quality_signal
float64
qsc_code_frac_chars_whitespace_quality_signal
float64
qsc_code_size_file_byte_quality_signal
float64
qsc_code_num_lines_quality_signal
float64
qsc_code_num_chars_line_max_quality_signal
float64
qsc_code_num_chars_line_mean_quality_signal
float64
qsc_code_frac_chars_alphabet_quality_signal
float64
qsc_code_frac_chars_comments_quality_signal
float64
qsc_code_cate_xml_start_quality_signal
float64
qsc_code_frac_lines_dupe_lines_quality_signal
float64
qsc_code_cate_autogen_quality_signal
float64
qsc_code_frac_lines_long_string_quality_signal
float64
qsc_code_frac_chars_string_length_quality_signal
float64
qsc_code_frac_chars_long_word_length_quality_signal
float64
qsc_code_frac_lines_string_concat_quality_signal
float64
qsc_code_cate_encoded_data_quality_signal
float64
qsc_code_frac_chars_hex_words_quality_signal
float64
qsc_code_frac_lines_prompt_comments_quality_signal
float64
qsc_code_frac_lines_assert_quality_signal
float64
qsc_codepython_cate_ast_quality_signal
float64
qsc_codepython_frac_lines_func_ratio_quality_signal
float64
qsc_codepython_cate_var_zero_quality_signal
bool
qsc_codepython_frac_lines_pass_quality_signal
float64
qsc_codepython_frac_lines_import_quality_signal
float64
qsc_codepython_frac_lines_simplefunc_quality_signal
float64
qsc_codepython_score_lines_no_logic_quality_signal
float64
qsc_codepython_frac_lines_print_quality_signal
float64
qsc_code_num_words
int64
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int64
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int64
qsc_code_frac_words_unique
null
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int64
qsc_code_frac_chars_top_3grams
int64
qsc_code_frac_chars_top_4grams
int64
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int64
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int64
qsc_code_frac_chars_dupe_7grams
int64
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int64
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int64
qsc_code_frac_chars_dupe_10grams
int64
qsc_code_frac_chars_replacement_symbols
int64
qsc_code_frac_chars_digital
int64
qsc_code_frac_chars_whitespace
int64
qsc_code_size_file_byte
int64
qsc_code_num_lines
int64
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int64
qsc_code_num_chars_line_mean
int64
qsc_code_frac_chars_alphabet
int64
qsc_code_frac_chars_comments
int64
qsc_code_cate_xml_start
int64
qsc_code_frac_lines_dupe_lines
int64
qsc_code_cate_autogen
int64
qsc_code_frac_lines_long_string
int64
qsc_code_frac_chars_string_length
int64
qsc_code_frac_chars_long_word_length
int64
qsc_code_frac_lines_string_concat
null
qsc_code_cate_encoded_data
int64
qsc_code_frac_chars_hex_words
int64
qsc_code_frac_lines_prompt_comments
int64
qsc_code_frac_lines_assert
int64
qsc_codepython_cate_ast
int64
qsc_codepython_frac_lines_func_ratio
int64
qsc_codepython_cate_var_zero
int64
qsc_codepython_frac_lines_pass
int64
qsc_codepython_frac_lines_import
int64
qsc_codepython_frac_lines_simplefunc
int64
qsc_codepython_score_lines_no_logic
int64
qsc_codepython_frac_lines_print
int64
effective
string
hits
int64
d62e4743038fffd2a8a1156bb48d0232552671d3
257
py
Python
tests/utils.py
ireneontheway5/pymilvus
b812449a98602b4370b3b3430bdeb18b24035e53
[ "Apache-2.0" ]
1
2020-03-03T07:55:16.000Z
2020-03-03T07:55:16.000Z
tests/utils.py
ireneontheway5/pymilvus
b812449a98602b4370b3b3430bdeb18b24035e53
[ "Apache-2.0" ]
null
null
null
tests/utils.py
ireneontheway5/pymilvus
b812449a98602b4370b3b3430bdeb18b24035e53
[ "Apache-2.0" ]
3
2019-11-06T08:28:58.000Z
2020-04-24T09:58:54.000Z
import grpc class MockGrpcError(grpc.RpcError): def __init__(self, code=1, details="error"): self._code = code self._details = details def code(self): return self._code def details(self): return self._details
18.357143
48
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0.155844
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0
0
0.005348
0.272374
257
13
49
19.769231
0.818182
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0
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0.019455
0
0
0
0
0
0
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0.333333
false
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0.111111
0.222222
0.777778
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1
0
0
4
d643904a2ca9672ab7f9b2864175a821506cb3de
28,178
py
Python
main.py
Gunjanph/Brick-Breaker
a8c46a791a7bba752d182231f41c00e223a65b7d
[ "MIT" ]
null
null
null
main.py
Gunjanph/Brick-Breaker
a8c46a791a7bba752d182231f41c00e223a65b7d
[ "MIT" ]
null
null
null
main.py
Gunjanph/Brick-Breaker
a8c46a791a7bba752d182231f41c00e223a65b7d
[ "MIT" ]
null
null
null
import signal import os import time import subprocess from random import randrange, randint import numpy as np from colorama import init, Fore, Back init() from input import Get, input_to from board import Board from paddle import Paddle from ball import Ball from bricks import Brick, UnbreakableBrick from config import Config from explode import Explode from powerup import Powerup from expand import Expand from shrink import Shrink from fast import Fast from grab import Grab from thru import Thru from bullet import Bullet from bullets import Bullets from falling import Falling_Brick from rainbow import Rainbow_Brick from boss import Boss from bomb import Bomb obj_board = Board(30,110) obj_board.create_board() obj_config = Config() row = 1 #how much fall the brick flag = 0 rainbow_flag = 0 health_flag = 0 obj_paddle = Paddle(28,47,1) obj_paddle.starting_position(obj_board.matrix) ball_y = randrange(47,53) # ball_y = 50 obj_ball = Ball(27,ball_y,1) obj_ball.starting_position(obj_board.matrix) obj_brick = Brick() obj_brick.appear_brick(obj_board.matrix, 1, 0) # obj_brick2 = Brick2() # obj_brick2.appear_brick2(obj_board.matrix) # obj_brick3 = Brick3() # obj_brick3.appear_brick3(obj_board.matrix) obj_unbrick = UnbreakableBrick() obj_unbrick.appear_unb(obj_board.matrix,1) obj_explode = Explode() obj_explode.exappear_brick(obj_board.matrix, obj_config.level) obj_fall = Falling_Brick() obj_rainbow = Rainbow_Brick() obj_rainbow.rainbow_appear_brick(obj_board) obj_boss = Boss(2, 31, 1) # obj_powerup = Powerup() powerup_list = [] start_powerup = [] active_powerup = [] brick_flag = [] laser = [] bombs = [] get = Get() obj_ball.vely = 0 def find_line(point1, point2): return np.cross(list(point1)+[1], list(point2)+[1]) # point1 = (0,0) # point2 = (2,3) # point2 = (0,4) def find_points(point1, point2): a,b,c = find_line(point1,point2) # print(a,b,c) x1,y1 = point1 x2,y2 = point2 xv = 2*(x1<x2)-1 yv = 2*(y1<y2)-1 points = [] if abs(x1-x2) > abs(y1-y2): for x in range(x1,x2+xv,xv): y = -(a*x + c)/b points.append((x,int(y))) if(y - int(y) != 0): points.append((x,int(y)+1)) else: for y in range(y1,y2+yv,yv): x = -(b*y + c)/a points.append((int(x),y)) if(x - int(x) != 0): points.append((int(x)+1,y)) points.sort(key = lambda x: x[0], reverse=(xv==-1)) return points # points = find_points(point1, point2, 1) # print(points) def reposition(): # obj_ball.y = randrange(47,53) obj_ball.y = 50 obj_paddle.y = 47 obj_paddle.x = 28 obj_ball.x = 27 obj_ball.number = 1 obj_ball.vely = 0 obj_ball.velx = 0 obj_paddle.starting_position(obj_board.matrix) obj_ball.starting_position(obj_board.matrix) for i in range(len(active_powerup)): if active_powerup[i][0].number == 1: obj_paddle.disappear_paddle(obj_board) obj_paddle.expand() obj_paddle.reappear_paddle(obj_board) if active_powerup[i][0].number == 2: obj_paddle.disappear_paddle(obj_board) obj_paddle.shrink() obj_paddle.reappear_paddle(obj_board) if active_powerup[i][0].number == 3: if obj_ball.velx < 0 and obj_ball.velx >= -1: obj_ball.velx += 1 if obj_ball.velx > 0 and obj_ball.velx <= 1: obj_ball.velx -= 1 if active_powerup[i][0].number == 4: obj_ball.active = 0 if active_powerup[i][0].number == 5: obj_ball.thruactive = 0 if active_powerup[i][0].number == 6: obj_config.bullet = 0 active_powerup.clear() def powup(numb, x, y): if numb == 1: # quit() obj_shrink = Shrink(x, y) obj_shrink.starting_position(obj_board.matrix, x, y) powerup_list.append(obj_shrink) start_powerup.append(obj_shrink) elif numb == 2: # quit() obj_expand = Expand(x, y) obj_expand.starting_position(obj_board.matrix, x, y) powerup_list.append(obj_expand) start_powerup.append(obj_expand) elif numb == 3: # quit() obj_fast = Fast(x, y) obj_fast.starting_position(obj_board.matrix, x, y) powerup_list.append(obj_fast) start_powerup.append(obj_fast) elif numb == 4: obj_grab = Grab(x, y) obj_grab.starting_position(obj_board.matrix, x, y) powerup_list.append(obj_grab) start_powerup.append(obj_grab) elif numb == 5: obj_thru = Thru(x, y) obj_thru.starting_position(obj_board.matrix, x, y) powerup_list.append(obj_thru) start_powerup.append(obj_thru) elif numb == 6: obj_bullet = Bullet(x, y) obj_bullet.starting_position(obj_board.matrix, x, y) powerup_list.append(obj_bullet) start_powerup.append(obj_bullet) def impartpowerup(): for i in range(len(start_powerup)): start_powerup[i].disappear(obj_board) if obj_ball.velx>0: start_powerup[i].x = 0 else: start_powerup[i].x-=obj_ball.velx start_powerup[i].y+=obj_ball.vely start_powerup[i].vely = obj_ball.vely if obj_board.matrix[start_powerup[i].x][start_powerup[i].y] == "X" or isinstance(obj_board.matrix[start_powerup[i].x][start_powerup[i].y], int)==True: print("in if") brick_flag.append((start_powerup[i].x,start_powerup[i].y, obj_board.matrix[start_powerup[i].x][start_powerup[i].y])) start_powerup[i].reappear(obj_board) start_powerup.pop(i) def movepowerup(): for i in range(len(powerup_list)): if powerup_list[i].x + powerup_list[i].velx < 28: if powerup_list[i].y + powerup_list[i].vely >= 109 or powerup_list[i].y + powerup_list[i].vely <= 0: powerup_list[i].vely = -powerup_list[i].vely if powerup_list[i].x + powerup_list[i].velx <= 0: powerup_list[i].velx = -powerup_list[i].velx powerup_list[i].disappear(obj_board) for j in range(len(brick_flag)): if brick_flag[j][0] == powerup_list[i].x and brick_flag[j][1] == powerup_list[i].y: print("in loop") obj_board.matrix[powerup_list[i].x][powerup_list[i].y] = brick_flag[j][2] brick_flag.pop(j) powerup_list[i].x += powerup_list[i].velx powerup_list[i].y += powerup_list[i].vely if obj_board.matrix[powerup_list[i].x][powerup_list[i].y] == "X" or isinstance(obj_board.matrix[powerup_list[i].x][powerup_list[i].y], int)==True: brick_flag.append((powerup_list[i].x,powerup_list[i].y, obj_board.matrix[powerup_list[i].x][powerup_list[i].y])) powerup_list[i].reappear(obj_board) else: powerup_list[i].disappear(obj_board) powerup_list.pop(i) def endpowerup(): for i in range(len(active_powerup)): if(time.time()-active_powerup[i][1] >= active_powerup[i][0].time): if active_powerup[i][0].number == 1: obj_paddle.disappear_paddle(obj_board) obj_paddle.expand() obj_paddle.reappear_paddle(obj_board) if active_powerup[i][0].number == 2: obj_paddle.disappear_paddle(obj_board) obj_paddle.shrink() obj_paddle.reappear_paddle(obj_board) if active_powerup[i][0].number == 3: if obj_ball.velx < 0 and obj_ball.velx >= -1: obj_ball.velx += 1 if obj_ball.velx > 0 and obj_ball.velx <= 1: obj_ball.velx -= 1 if active_powerup[i][0].number == 4: obj_ball.active = 0 if active_powerup[i][0].number == 5: obj_ball.thruactive = 0 if active_powerup[i][0].number == 6: obj_config.bullet = 0 active_powerup.pop(i) break; else: if active_powerup[i][0].number == 6: return 10 - round(time.time())+round(active_powerup[i][1]) def shoot(): x = 27 y = obj_paddle.y+1 obj_bullets = Bullets(x,y,1) obj_bullets.starting_position(obj_board.matrix, x, y) laser.append(obj_bullets) def bossbomb(): x = obj_boss.x+8 y = obj_boss.y+19 obj_bomb = Bomb(x,y,1) obj_bomb.starting_position(obj_board.matrix, x, y) bombs.append(obj_bomb) def movepaddle(): char = input_to(get) # print(char) bx = obj_ball.get_x() bay = obj_ball.get_y() by = obj_ball.get_velx() vely = obj_ball.get_vely() py = obj_paddle.get_y() length = obj_paddle.get_len() if char == 'q': print("QUIT :(") quit() if char == 'd': move_right = obj_paddle.right_collision(bx, by) # print(bx, by) if(move_right == 2): # obj_ball.direction = 1 # obj_ball.disappear_ball(obj_board) # obj_ball.y+=1 # obj_ball.reappear_ball(obj_board) if obj_config.level == 1 or obj_config.level == 2: obj_paddle.direction = 1 obj_paddle.disappear_paddle(obj_board) obj_paddle.y+=2 obj_paddle.reappear_paddle(obj_board) if obj_config.level == 3: if obj_paddle.y<92: obj_paddle.direction = 1 obj_paddle.disappear_paddle(obj_board) obj_paddle.y+=2 obj_paddle.reappear_paddle(obj_board) if(obj_boss.y+39 <= 107): obj_boss.disappear_boss(obj_board) obj_boss.y += 2 obj_boss.appear_boss(obj_board) # print(obj_paddle.y) if(move_right == 1): if obj_config.level == 1 or obj_config.level == 2: obj_ball.direction = 1 obj_ball.disappear_ball(obj_board) obj_ball.y+=2 obj_ball.reappear_ball(obj_board) obj_paddle.direction = 1 obj_paddle.disappear_paddle(obj_board) obj_paddle.y+=2 obj_paddle.reappear_paddle(obj_board) if obj_config.level == 3: if obj_paddle.y<95: obj_ball.direction = 1 obj_ball.disappear_ball(obj_board) obj_ball.y+=2 obj_ball.reappear_ball(obj_board) obj_paddle.direction = 1 obj_paddle.disappear_paddle(obj_board) obj_paddle.y+=2 obj_paddle.reappear_paddle(obj_board) # print(obj_paddle.y) if(obj_boss.y+39 <= 107): obj_boss.disappear_boss(obj_board) obj_boss.y += 2 obj_boss.appear_boss(obj_board) if char == 'a': move_left = obj_paddle.left_collision(bx, by) if(move_left == 2): if obj_config.level == 1 or obj_config.level == 2: obj_paddle.direction = -1 obj_paddle.disappear_paddle(obj_board) obj_paddle.y-=2 obj_paddle.reappear_paddle(obj_board) if obj_config.level == 3: if obj_paddle.y<90: obj_paddle.direction = -1 obj_paddle.disappear_paddle(obj_board) obj_paddle.y-=2 obj_paddle.reappear_paddle(obj_board) if(obj_boss.y >= 2): obj_boss.disappear_boss(obj_board) obj_boss.y -= 2 obj_boss.appear_boss(obj_board) # print(obj_paddle.y) if(move_left == 1): if obj_config.level == 1 or obj_config.level == 2: obj_paddle.direction = -1 obj_ball.direction = -1 obj_paddle.disappear_paddle(obj_board) obj_ball.disappear_ball(obj_board) obj_paddle.y-=2 obj_ball.y-=2 obj_paddle.reappear_paddle(obj_board) obj_ball.reappear_ball(obj_board) if obj_config.level == 3: if obj_paddle.y>18: obj_paddle.direction = -1 obj_ball.direction = -1 obj_paddle.disappear_paddle(obj_board) obj_ball.disappear_ball(obj_board) obj_paddle.y-=2 obj_ball.y-=2 obj_paddle.reappear_paddle(obj_board) obj_ball.reappear_ball(obj_board) if(obj_boss.y >= 2): obj_boss.disappear_boss(obj_board) obj_boss.y -= 2 obj_boss.appear_boss(obj_board) if char == 'l': obj_config.level += 1 obj_config.start_time[obj_config.level-1] = obj_config.time obj_brick.level_disappear_brick(obj_board) obj_brick.appear_brick(obj_board.matrix, obj_config.level, health_flag) obj_unbrick.appear_unb(obj_board.matrix, obj_config.level) obj_explode.exappear_brick(obj_board.matrix, obj_config.level) obj_ball.disappear_ball(obj_board) obj_paddle.disappear_paddle(obj_board) reposition() if obj_config.level == 3: obj_boss.starting_position(obj_board.matrix) if char == ' ': obj_ball.velx = -1 obj_ball.vely = vely + (bay - (py + (int)(length/2))) # def boss_collision(): # if def move(): x = obj_ball.get_x() y = obj_ball.get_y() vel_x = obj_ball.get_velx() vel_y = obj_ball.get_vely() obj_ball.disappear_ball(obj_board) obj_ball.x+=vel_x obj_ball.y+=vel_y obj_ball.reappear_ball(obj_board) def collision(): # obj_ball.vely = 1 global rainbow_flag x = obj_ball.get_x() y = obj_ball.get_y() py = obj_paddle.get_y() length = obj_paddle.get_len() vel_x = obj_ball.get_velx() vel_y = obj_ball.get_vely() powerupnumber = 0 # # wall # if x <= 1: # obj_ball.velx = -vel_x # if x >= 28: # obj_ball.number-=1 # if obj_ball.number == 0: # obj_config.life-=1 # if obj_config.life == 0: # print("GAME OVER") # quit() # else: # obj_ball.disappear_ball(obj_board) # obj_paddle.disappear_paddle(obj_board) # reposition() # if y+vel_y >= 109 or y <= 0: # obj_ball.vely = -vel_y # paddle if x+vel_x<=29 and y+vel_y<=109: if obj_board.matrix[x+1][y] == "I" or (vel_x==2 and obj_board.matrix[x+2][y] == "I"): if vel_x!=0 or vel_y!=0: # quit() subprocess.Popen(['aplay', './sound/mb_hit.wav']) os.system('clear') if flag == 1: obj_fall.fall_appear_brick(obj_board) if obj_ball.active == 1: # quit() obj_ball.vely = 0 obj_ball.velx = 0 else: obj_ball.vely = vel_y + (y - (py + (int)(length/2))) obj_ball.velx = -vel_x for i in range(len(powerup_list)): if powerup_list[i].x+2 <= 29: if obj_board.matrix[powerup_list[i].x+2][powerup_list[i].y] == "I" or obj_board.matrix[powerup_list[i].x+1][powerup_list[i].y] == "I": # quit() # active_powerup.append((powerup_list[i], time.time())) powerup_list[i].disappear(obj_board) if powerup_list[i].number == 1: # quit() if obj_paddle.get_len() > 3: obj_paddle.disappear_paddle(obj_board) obj_paddle.shrink() obj_paddle.reappear_paddle(obj_board) active_powerup.append((powerup_list[i], time.time())) if powerup_list[i].number == 2: # quit() if obj_paddle.get_len() < 9: obj_paddle.disappear_paddle(obj_board) obj_paddle.expand() obj_paddle.reappear_paddle(obj_board) active_powerup.append((powerup_list[i], time.time())) if powerup_list[i].number == 3: # quit() active_powerup.append((powerup_list[i], time.time())) if obj_ball.velx < 0 and obj_ball.velx >= -1: obj_ball.velx -= 1 if obj_ball.velx > 0 and obj_ball.velx <= 1: obj_ball.velx += 1 if powerup_list[i].number == 4: # quit() active_powerup.append((powerup_list[i], time.time())) obj_ball.active = 1 if powerup_list[i].number == 5: active_powerup.append((powerup_list[i], time.time())) obj_ball.thruactive = 1 if powerup_list[i].number == 6: active_powerup.append((powerup_list[i], time.time())) obj_config.bullet = 1 subprocess.Popen(['aplay', './sound/mb_hit.wav']) os.system('clear') powerup_list.pop(i) break; # wall if x <= 1: obj_ball.velx = -vel_x subprocess.Popen(['aplay', './sound/mb_wall.wav']) os.system('clear') if x >= 28: obj_ball.number-=1 if obj_ball.number == 0: obj_config.life-=1 if obj_config.life == 0: print("GAME OVER") subprocess.Popen(['aplay', './sound/mb_die.wav']) os.system('clear') quit() else: obj_ball.disappear_ball(obj_board) obj_paddle.disappear_paddle(obj_board) reposition() subprocess.Popen(['aplay', './sound/mb_wall.wav']) os.system('clear') if y+vel_y >= 109 or y <= 0: obj_ball.vely = -vel_y subprocess.Popen(['aplay', './sound/mb_wall.wav']) os.system('clear') # brick point1 = (x,y) point2 = (x+vel_x,y+vel_y) if vel_x!=0 or vel_y!=0: pts = find_points(point1, point2) # print(pts) if vel_y==0: for i in range(len(pts)): if pts[i][1]<=109 and pts[i][0]<=29: if obj_board.matrix[pts[i][0]][pts[i][1]] == "X": if pts[i][0] == 6 and pts[i][1] == 20: rainbow_flag = 1 if obj_board.matrix[pts[i][0]][pts[i][1]+1] == -10: subprocess.Popen(['aplay', './sound/mb_brick.wav']) os.system('clear') obj_explode.exdisappear_brick(obj_board,pts[i][0],pts[i][1],obj_config) if obj_ball.thruactive == 0: obj_ball.velx = -vel_x else: if obj_ball.thruactive == 0: obj_ball.velx = -vel_x powerupnumber = obj_brick.disappear_brick(obj_board,pts[i][0],pts[i][1],obj_config) powup(powerupnumber, pts[i][0], pts[i][1]) else: obj_config.score += obj_board.matrix[pts[i][0]][pts[i][1]+1] break; elif obj_board.matrix[pts[i][0]][pts[i][1]-1] == "X": if pts[i][0] == 6 and pts[i][1]-1 == 20: rainbow_flag = 1 if obj_board.matrix[pts[i][0]][pts[i][1]] == -10: subprocess.Popen(['aplay', './sound/mb_brick.wav']) os.system('clear') obj_explode.exdisappear_brick(obj_board,pts[i][0],pts[i][1]-1,obj_config) if obj_ball.thruactive == 0: obj_ball.velx = -vel_x else: if obj_ball.thruactive == 0: obj_ball.velx = -vel_x powerupnumber = obj_brick.disappear_brick(obj_board,pts[i][0],pts[i][1]-1,obj_config) powup(powerupnumber, pts[i][0], pts[i][1]) else: obj_config.score += obj_board.matrix[pts[i][0]][pts[i][1]] break; elif obj_board.matrix[pts[i][0]][pts[i][1]+1] == "X": if pts[i][0] == 6 and pts[i][1]+1 == 20: rainbow_flag = 1 if obj_board.matrix[pts[i][0]][pts[i][1]+2] == -10: subprocess.Popen(['aplay', './sound/mb_brick.wav']) os.system('clear') obj_explode.exdisappear_brick(obj_board,pts[i][0],pts[i][1]+1,obj_config) if obj_ball.thruactive == 0: obj_ball.velx = -vel_x else: if obj_ball.thruactive == 0: obj_ball.velx = -vel_x powerupnumber = obj_brick.disappear_brick(obj_board,pts[i][0],pts[i][1]+1,obj_config) powup(powerupnumber, pts[i][0], pts[i][1]) else: obj_config.score += obj_board.matrix[pts[i][0]][pts[i][1]+2] break # elif obj_board.matrix[pts[i][0]][pts[i][1]] != " " or obj_board.matrix[pts[i][0]][pts[i][1]] != "I" or obj_board.matrix[pts[i][0]][pts[i][1]] != "?" or obj_board.matrix[pts[i][0]][pts[i][1]] != "+" or obj_board.matrix[pts[i][0]][pts[i][1]] != "_" or obj_board.matrix[pts[i][0]][pts[i][1]] != ">" or obj_board.matrix[pts[i][0]][pts[i][1]] != "@" or obj_board.matrix[pts[i][0]][pts[i][1]] != "|" or isinstance(obj_board.matrix[pts[i][0]][pts[i][1]], int) != True: # obj_ball.velx = -vel_x # obj_ball.disappear_ball(obj_board) # obj_ball.reappear_ball(obj_board) # obj_boss.health -= 10 # break; # elif obj_board.matrix[pts[i][0]][pts[i][1]-1] != " " or obj_board.matrix[pts[i][0]][pts[i][1]-1] != "I" or obj_board.matrix[pts[i][0]][pts[i][1]-1] != "?" or obj_board.matrix[pts[i][0]][pts[i][1]-1] != "+" or obj_board.matrix[pts[i][0]][pts[i][1]-1] != "_" or obj_board.matrix[pts[i][0]][pts[i][1]-1] != ">" or obj_board.matrix[pts[i][0]][pts[i][1]-1] != "@" or obj_board.matrix[pts[i][0]][pts[i][1]-1] != "|" or isinstance(obj_board.matrix[pts[i][0]][pts[i][1]-1], int) != True: # obj_ball.velx = -vel_x # obj_ball.disappear_ball(obj_board) # obj_ball.reappear_ball(obj_board) # obj_boss.health -= 10 # break; # elif obj_board.matrix[pts[i][0]][pts[i][1]+1] != " " or obj_board.matrix[pts[i][0]][pts[i][1]+1] != "I" or obj_board.matrix[pts[i][0]][pts[i][1]+1] != "?" or obj_board.matrix[pts[i][0]][pts[i][1]+1] != "+" or obj_board.matrix[pts[i][0]][pts[i][1]+1] != "_" or obj_board.matrix[pts[i][0]][pts[i][1]+1] != ">" or obj_board.matrix[pts[i][0]][pts[i][1]+1] != "@" or obj_board.matrix[pts[i][0]][pts[i][1]+1] != "|" or isinstance(obj_board.matrix[pts[i][0]][pts[i][1]+1], int) != True: # obj_ball.velx = -vel_x # obj_ball.disappear_ball(obj_board) # obj_ball.reappear_ball(obj_board) # obj_boss.health -= 10 # break; elif obj_board.matrix[pts[i][0]][pts[i][1]] == "-" or obj_board.matrix[pts[i][0]][pts[i][1]] == "=" or obj_board.matrix[pts[i][0]][pts[i][1]] == ":" or obj_board.matrix[pts[i][0]][pts[i][1]] == "(" or obj_board.matrix[pts[i][0]][pts[i][1]] == ")" or obj_board.matrix[pts[i][0]][pts[i][1]] == "*" or obj_board.matrix[pts[i][0]][pts[i][1]] == "`" or obj_board.matrix[pts[i][0]][pts[i][1]] == ".": obj_ball.velx = -vel_x obj_ball.disappear_ball(obj_board) obj_ball.reappear_ball(obj_board) obj_boss.health -= 10 break; elif obj_board.matrix[pts[i][0]][pts[i][1]-1] == "-" or obj_board.matrix[pts[i][0]][pts[i][1]-1] == "=" or obj_board.matrix[pts[i][0]][pts[i][1]-1] == ":" or obj_board.matrix[pts[i][0]][pts[i][1]-1] == "(" or obj_board.matrix[pts[i][0]][pts[i][1]-1] == ")" or obj_board.matrix[pts[i][0]][pts[i][1]-1] == "*" or obj_board.matrix[pts[i][0]][pts[i][1]-1] == "`" or obj_board.matrix[pts[i][0]][pts[i][1]-1] == ".": obj_ball.velx = -vel_x obj_ball.disappear_ball(obj_board) obj_ball.reappear_ball(obj_board) obj_boss.health -= 10 break; elif obj_board.matrix[pts[i][0]][pts[i][1]+1] == "-" or obj_board.matrix[pts[i][0]][pts[i][1]+1] == "=" or obj_board.matrix[pts[i][0]][pts[i][1]+1] == ":" or obj_board.matrix[pts[i][0]][pts[i][1]+1] == "(" or obj_board.matrix[pts[i][0]][pts[i][1]+1] == ")" or obj_board.matrix[pts[i][0]][pts[i][1]+1] == "*" or obj_board.matrix[pts[i][0]][pts[i][1]+1] == "`" or obj_board.matrix[pts[i][0]][pts[i][1]+1] == ".": obj_ball.velx = -vel_x obj_ball.disappear_ball(obj_board) obj_ball.reappear_ball(obj_board) obj_boss.health -= 10 break; else: for i in range(len(pts)): if pts[i][1]<=109 and pts[i][0]<=29: if obj_board.matrix[pts[i][0]][pts[i][1]] == "X": if obj_board.matrix[pts[i][0]][pts[i][1]+1] == -10: subprocess.Popen(['aplay', './sound/mb_brick.wav']) os.system('clear') obj_explode.exdisappear_brick(obj_board,pts[i][0],pts[i][1],obj_config) if obj_ball.thruactive == 0: obj_ball.velx = -vel_x else: if obj_ball.thruactive == 0: obj_ball.velx = -vel_x powerupnumber = obj_brick.disappear_brick(obj_board,pts[i][0],pts[i][1],obj_config) powup(powerupnumber, pts[i][0], pts[i][1]) else: obj_config.score += obj_board.matrix[pts[i][0]][pts[i][1]+1] # if (vel_x<0 and vel_y<0) or (vel_x>0 and vel_y>0): # obj_ball.velx = -vel_x # else: # obj_ball.vely = -vel_y break; elif obj_board.matrix[pts[i][0]][pts[i][1]] == "-" or obj_board.matrix[pts[i][0]][pts[i][1]] == "=" or obj_board.matrix[pts[i][0]][pts[i][1]] == ":" or obj_board.matrix[pts[i][0]][pts[i][1]] == "(" or obj_board.matrix[pts[i][0]][pts[i][1]] == ")" or obj_board.matrix[pts[i][0]][pts[i][1]] == "*" or obj_board.matrix[pts[i][0]][pts[i][1]] == "`" or obj_board.matrix[pts[i][0]][pts[i][1]] == ".": obj_ball.velx = -vel_x obj_ball.disappear_ball(obj_board) obj_ball.reappear_ball(obj_board) obj_boss.health -= 10 break; elif obj_board.matrix[pts[i][0]][pts[i][1]-1] == "-" or obj_board.matrix[pts[i][0]][pts[i][1]-1] == "=" or obj_board.matrix[pts[i][0]][pts[i][1]-1] == ":" or obj_board.matrix[pts[i][0]][pts[i][1]-1] == "(" or obj_board.matrix[pts[i][0]][pts[i][1]-1] == ")" or obj_board.matrix[pts[i][0]][pts[i][1]-1] == "*" or obj_board.matrix[pts[i][0]][pts[i][1]-1] == "`" or obj_board.matrix[pts[i][0]][pts[i][1]-1] == ".": obj_ball.velx = -vel_x obj_ball.disappear_ball(obj_board) obj_ball.reappear_ball(obj_board) obj_boss.health -= 10 break; elif obj_board.matrix[pts[i][0]][pts[i][1]+1] == "-" or obj_board.matrix[pts[i][0]][pts[i][1]+1] == "=" or obj_board.matrix[pts[i][0]][pts[i][1]+1] == ":" or obj_board.matrix[pts[i][0]][pts[i][1]+1] == "(" or obj_board.matrix[pts[i][0]][pts[i][1]+1] == ")" or obj_board.matrix[pts[i][0]][pts[i][1]+1] == "*" or obj_board.matrix[pts[i][0]][pts[i][1]+1] == "`" or obj_board.matrix[pts[i][0]][pts[i][1]+1] == ".": obj_ball.velx = -vel_x obj_ball.disappear_ball(obj_board) obj_ball.reappear_ball(obj_board) obj_boss.health -= 10 break; #bullet brick i=0 while i < len(laser): if laser[i].x+laser[i].velx<=1: laser[i].disappear(obj_board) laser.pop(i) elif obj_board.matrix[laser[i].x+laser[i].velx][laser[i].y] == "X": if obj_board.matrix[laser[i].x+laser[i].velx][laser[i].y+1] == -10: subprocess.Popen(['aplay', './sound/mb_brick.wav']) os.system('clear') obj_explode.exdisappear_brick(obj_board,laser[i].x+laser[i].velx,laser[i].y,obj_config) else: # print("in laser") powerupnumber = obj_brick.disappear_brick(obj_board, laser[i].x+laser[i].velx, laser[i].y, obj_config) powup(powerupnumber, laser[i].x, laser[i].y) laser[i].disappear(obj_board) laser.pop(i) elif isinstance(obj_board.matrix[laser[i].x][laser[i].y], int)==True: temp = obj_board.matrix[laser[i].x][laser[i].y] laser[i].disappear(obj_board) obj_board.matrix[laser[i].x][laser[i].y] = temp laser[i].x = laser[i].x+laser[i].velx laser[i].reappear(obj_board) else: laser[i].disappear(obj_board) laser[i].x = laser[i].x+laser[i].velx laser[i].reappear(obj_board) i+=1 # bomb i=0 while i < len(bombs): if bombs[i].x+bombs[i].velx>28: bombs[i].disappear(obj_board) bombs.pop(i) elif obj_board.matrix[bombs[i].x+bombs[i].velx][bombs[i].y] == "X": if obj_board.matrix[bombs[i].x+bombs[i].velx][bombs[i].y+1] == -10: subprocess.Popen(['aplay', './sound/mb_brick.wav']) os.system('clear') obj_explode.exdisappear_brick(obj_board,bombs[i].x+bombs[i].velx,bombs[i].y,obj_config) else: # print("in bombs") powerupnumber = obj_brick.disappear_brick(obj_board, bombs[i].x+bombs[i].velx, bombs[i].y, obj_config) powup(powerupnumber, bombs[i].x, bombs[i].y) bombs[i].disappear(obj_board) bombs.pop(i) elif isinstance(obj_board.matrix[bombs[i].x][bombs[i].y], int)==True: temp = obj_board.matrix[bombs[i].x][bombs[i].y] bombs[i].disappear(obj_board) obj_board.matrix[bombs[i].x][bombs[i].y] = temp bombs[i].x = bombs[i].x+bombs[i].velx bombs[i].reappear(obj_board) elif obj_board.matrix[bombs[i].x+bombs[i].velx][bombs[i].y] == "I": obj_config.life -= 1 if obj_config.life == 0: print("GAME OVER") subprocess.Popen(['aplay', './sound/mb_die.wav']) os.system('clear') quit() bombs[i].disappear(obj_board) bombs.pop(i) else: bombs[i].disappear(obj_board) bombs[i].x = bombs[i].x+bombs[i].velx bombs[i].reappear(obj_board) i+=1 x=time.time() y=x z=x count = 0 time_bullet = 10 # collision() while True: os.system('clear') # else: # flag=0 obj_config.time = (round(time.time()) - round(x)) if obj_config.bullet==1: string = "SCORE: " + str(obj_config.score) + " | LIVES: " + str(obj_config.life) + " | TIME PLAYED: " + str(obj_config.time) + " | LEVEL:" + str(obj_config.level) + " | TIME REMAINING:" + str(time_bullet) else: string = "SCORE: " + str(obj_config.score) + " | LIVES: " + str(obj_config.life) + " | TIME PLAYED: " + str(obj_config.time) + " | LEVEL:" + str(obj_config.level) if obj_config.time-obj_config.start_time[obj_config.level-1] >= 60: # print("time:" +str(obj_config.time)+ str(obj_config.start_time)) # obj_fall.fall_appear_brick(obj_board) flag = 1 else: flag = 0 if obj_boss.health == 50: health_flag = 1 obj_brick.appear_brick(obj_board.matrix, obj_config.level, health_flag) if obj_boss.health == 20: obj_brick.appear_brick(obj_board.matrix, obj_config.level, health_flag) # obj_board.theyllprintit(string) temp = obj_board.theyllprintit(string, obj_config.bullet, obj_config.level, obj_boss.health) if temp == 0: if obj_config.level!=3: obj_config.level += 1 obj_config.start_time[obj_config.level-1] = obj_config.time obj_brick.level_disappear_brick(obj_board) obj_brick.appear_brick(obj_board.matrix, obj_config.level, health_flag) obj_unbrick.appear_unb(obj_board.matrix, obj_config.level) obj_explode.exappear_brick(obj_board.matrix, obj_config.level) obj_ball.disappear_ball(obj_board) obj_paddle.disappear_paddle(obj_board) reposition() if obj_config.level == 3: obj_boss.starting_position(obj_board.matrix) if time.time() - y >= 0.5: y = time.time() bossbomb() # obj_board.matrix[1][] # movepaddle() movepaddle() move() if obj_config.bullet==1: if time.time() - y >= 0.5: y = time.time() shoot() collision() impartpowerup() movepowerup() time_bullet = endpowerup() if rainbow_flag == 0 and obj_config.level == 1: obj_rainbow.color(obj_board) # move() # move is clearing the last block # count += 1 # time.sleep(0.20)
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0.045778
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d649e8d105ddce7c396037ab58eb3f53723982ea
355
py
Python
src/simmate/workflow_engine/common_tasks/__init__.py
jacksund/simmate
0b29704540574e11b711f7b44e2cb7740141ebb4
[ "BSD-3-Clause" ]
9
2021-12-21T02:58:21.000Z
2022-01-25T14:00:06.000Z
src/simmate/workflow_engine/common_tasks/__init__.py
jacksund/simmate
0b29704540574e11b711f7b44e2cb7740141ebb4
[ "BSD-3-Clause" ]
51
2022-01-01T15:59:58.000Z
2022-03-26T21:25:42.000Z
src/simmate/workflow_engine/common_tasks/__init__.py
jacksund/simmate
0b29704540574e11b711f7b44e2cb7740141ebb4
[ "BSD-3-Clause" ]
7
2022-01-01T03:44:32.000Z
2022-03-29T19:59:27.000Z
# -*- coding: utf-8 -*- from .load_input_and_register import load_input_and_register from .save_result import save_result from .load_nested_calculation import LoadNestedCalculationTask from .save_nested_calculation import SaveNestedCalculationTask from .parse_multi_command import parse_multi_command from .customized_s3task import run_customized_s3task
39.444444
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6.326087
0.456522
0.054983
0.082474
0.137457
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0.009231
0.084507
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4
c3926a4f8ca12b6307e8be812116f869cb36fabf
55
py
Python
skinny/histogram.py
sinanm89/skin_detect
510ca1228a59e9cb73e03d5d3c982d4a4b6ac323
[ "MIT" ]
null
null
null
skinny/histogram.py
sinanm89/skin_detect
510ca1228a59e9cb73e03d5d3c982d4a4b6ac323
[ "MIT" ]
null
null
null
skinny/histogram.py
sinanm89/skin_detect
510ca1228a59e9cb73e03d5d3c982d4a4b6ac323
[ "MIT" ]
null
null
null
"""Histogram for accurate skin detection in opencv."""
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0
0
4
c3b484477ab0c791213968970e61f7f23b37926c
516
py
Python
cerebro/nas/__init__.py
jiange91/cerebro-system
6c09f5a5b56ef78c0519fdb6c0839cb199bd49a8
[ "Apache-2.0" ]
null
null
null
cerebro/nas/__init__.py
jiange91/cerebro-system
6c09f5a5b56ef78c0519fdb6c0839cb199bd49a8
[ "Apache-2.0" ]
null
null
null
cerebro/nas/__init__.py
jiange91/cerebro-system
6c09f5a5b56ef78c0519fdb6c0839cb199bd49a8
[ "Apache-2.0" ]
1
2022-02-03T05:53:37.000Z
2022-02-03T05:53:37.000Z
from autokeras.tuners.greedy import Greedy from .tuners.greedy import GreedySearch from .tuners.randsearch import RandomSearch # from .tuners.hyperband import Hyperband from .hphpmodel import HyperHyperModel from .tuners.gridsearch import GridSearch from .tuners.greedy import GreedySearch HyperHyperModel.__module__ = "cerebro.nas" # Hyperband.__module__ = "cerebro.nas.tuner" GridSearch.__module__ = "cerebro.nas.tuner" RandomSearch.__module__ = "cerebro.nas.tuner" GreedySearch.__module__ = "cerebro.nas.greedy"
36.857143
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0.825581
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516
6.881356
0.271186
0.123153
0.197044
0.155172
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0.089147
516
14
46
36.857143
0.86383
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0
0.2
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1
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true
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0.6
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0
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1
0
1
0
1
0
0
4
c3e2cec1a90a0617e34da500ebc081d7b4851d4c
355
py
Python
assignment8/mapper.py
IITDU-BSSE06/ads-demystifying-the-logs-Shisir
2d57cf15b4e8097e54e1a997ed01b9a5002640be
[ "MIT" ]
null
null
null
assignment8/mapper.py
IITDU-BSSE06/ads-demystifying-the-logs-Shisir
2d57cf15b4e8097e54e1a997ed01b9a5002640be
[ "MIT" ]
null
null
null
assignment8/mapper.py
IITDU-BSSE06/ads-demystifying-the-logs-Shisir
2d57cf15b4e8097e54e1a997ed01b9a5002640be
[ "MIT" ]
null
null
null
#!/usr/bin/python #>>> a='http://www.the-associates.co.uk/images/filmmediablock/332/RtB_0576.jpg' #>>> b=urlparse(a).path #>>> b #'/images/filmmediablock/332/RtB_0576.jpg' import sys from urlparse import urlparse for line in sys.stdin: data = line.strip().split(" ") if len(data) == 10: print urlparse(data[6]).path
19.722222
80
0.628169
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355
4.333333
0.666667
0.180995
0.208145
0.235294
0.298643
0.298643
0
0
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0
0
0.059028
0.188732
355
17
81
20.882353
0.708333
0.456338
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null
null
0
0.333333
null
null
0.166667
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null
0
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0
1
0
0
0
1
0
0
0
0
4
c3ebb868df291050977911fcb1027a439871d6e4
256
py
Python
nbmetalog/get_timestamp.py
mmore500/nbmetalog
670f8ad76a587d8848c81e4f790c31c96402f8b0
[ "MIT" ]
null
null
null
nbmetalog/get_timestamp.py
mmore500/nbmetalog
670f8ad76a587d8848c81e4f790c31c96402f8b0
[ "MIT" ]
1
2021-09-02T16:08:58.000Z
2021-09-02T16:08:58.000Z
nbmetalog/get_timestamp.py
mmore500/nbmetalog
670f8ad76a587d8848c81e4f790c31c96402f8b0
[ "MIT" ]
null
null
null
from datetime import datetime, timezone from . import _except_return_none @_except_return_none def get_timestamp(): return datetime.now().replace( tzinfo=timezone.utc, ).replace( microsecond=0, ).isoformat().replace('+', 'Z')
21.333333
39
0.683594
29
256
5.793103
0.62069
0.142857
0.190476
0
0
0
0
0
0
0
0
0.004831
0.191406
256
11
40
23.272727
0.806763
0
0
0
0
0
0.007813
0
0
0
0
0
0
1
0.111111
true
0
0.222222
0.111111
0.444444
0
1
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0
null
0
1
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0
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null
0
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1
0
0
1
0
0
0
4
613de9c112a4635093b326b7ef5ecb7e59d1fe6e
183
py
Python
py/baltools/__init__.py
paulmartini/baltools
06f64036eea7f0ae261d72369c7714e74dba31da
[ "BSD-3-Clause" ]
null
null
null
py/baltools/__init__.py
paulmartini/baltools
06f64036eea7f0ae261d72369c7714e74dba31da
[ "BSD-3-Clause" ]
5
2020-04-03T02:26:33.000Z
2021-01-23T20:57:38.000Z
py/baltools/__init__.py
paulmartini/baltools
06f64036eea7f0ae261d72369c7714e74dba31da
[ "BSD-3-Clause" ]
null
null
null
# # See top-level LICENSE file for Copyright information # # -*- coding: utf-8 -*- """ Tools to identify, characterize, and simulate BAL QSOs. """ from ._version import __version__
16.636364
55
0.704918
23
183
5.391304
0.956522
0
0
0
0
0
0
0
0
0
0
0.006579
0.169399
183
10
56
18.3
0.809211
0.715847
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
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null
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0
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0
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0
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null
0
0
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0
0
0
1
0
1
0
1
0
0
4
615b56d642e66f59e26dcc4c105f482bc5a542be
483
py
Python
tests/validation/test_clean_provisional.py
StuartMacKay/ebird-api
14b5c777548416a58abec05e25cd4b9a8e22f210
[ "MIT" ]
9
2020-05-16T20:26:33.000Z
2021-11-02T06:24:46.000Z
tests/validation/test_clean_provisional.py
StuartMacKay/ebird-api
14b5c777548416a58abec05e25cd4b9a8e22f210
[ "MIT" ]
17
2019-06-22T09:41:22.000Z
2020-09-11T06:25:21.000Z
tests/validation/test_clean_provisional.py
ProjectBabbler/ebird-api
14b5c777548416a58abec05e25cd4b9a8e22f210
[ "MIT" ]
null
null
null
import unittest from ebird.api.validation import clean_provisional class CleanProvisionalTests(unittest.TestCase): """Tests for the clean_provisional validation function.""" def test_converts_bool(self): self.assertEqual("true", clean_provisional(True)) self.assertEqual("false", clean_provisional(False)) def test_converts_integer(self): self.assertEqual("true", clean_provisional(1)) self.assertEqual("false", clean_provisional(0))
30.1875
62
0.73913
54
483
6.425926
0.481481
0.276657
0.086455
0.132565
0.432277
0.224784
0
0
0
0
0
0.004902
0.15528
483
15
63
32.2
0.845588
0.10766
0
0
0
0
0.042353
0
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0
0.444444
1
0.222222
false
0
0.222222
0
0.555556
0
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null
1
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0
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0
1
0
0
0
0
1
0
0
4
616d3bc609ba1e61c0fbc32b58631c5a46c7c255
445
py
Python
Test_01_Login (2).py
MakeGunshot/upload
6a868c90a54870ed653b9b57be6a9a7193ada8e6
[ "MIT" ]
1
2019-05-07T09:19:27.000Z
2019-05-07T09:19:27.000Z
Test_01_Login.py
MakeGunshot/0726
fb79f24c73426512d250373085db8369def2f6c9
[ "MIT" ]
null
null
null
Test_01_Login.py
MakeGunshot/0726
fb79f24c73426512d250373085db8369def2f6c9
[ "MIT" ]
null
null
null
# coding=utf-8 from selenium import webdriver import time from selenium.webdriver.common.by import By from selenium.webdriver.common.keys import Keys from selenium.webdriver.support import expected_conditions as EC class Login(): def __init__(self): self.driver = webdriver.Chrome() self.driver.get('http://118.31.19.120:3000/') def login(self,username,psw): element = WebDriverWait(self.driver,30,0.5).until
26.176471
64
0.730337
63
445
5.079365
0.603175
0.15
0.196875
0.16875
0
0
0
0
0
0
0
0.050802
0.159551
445
16
65
27.8125
0.804813
0.026966
0
0
0
0
0.060748
0
0
0
0
0
0
1
0.181818
false
0
0.454545
0
0.727273
0
0
0
0
null
0
1
1
0
0
0
0
0
0
0
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0
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0
0
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0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
1
0
0
4
618d261a272399267873fd5e3793e0c683e345e1
685
py
Python
signalz/generators/uniform_white_noise.py
seang097/signalz
0846e037b288e508a7648887874e3e07ef8cac73
[ "MIT" ]
9
2017-07-28T18:02:38.000Z
2022-01-02T07:53:26.000Z
signalz/generators/uniform_white_noise.py
seang097/signalz
0846e037b288e508a7648887874e3e07ef8cac73
[ "MIT" ]
1
2017-12-26T20:34:00.000Z
2017-12-29T11:02:05.000Z
signalz/generators/uniform_white_noise.py
seang097/signalz
0846e037b288e508a7648887874e3e07ef8cac73
[ "MIT" ]
2
2020-10-16T09:39:30.000Z
2021-11-22T21:40:32.000Z
""" .. versionadded:: 0.4 This function generates Uniform white noise series. This function uses `numpy.random.uniform`. Function Documentation ====================================== """ import numpy as np def uniform_white_noise(n, minimum=-1, maximum=1): """ Random values with uniform distribution. **Args:** * `n` - length of the output data (int) - how many samples will be on output **Kwargs:** * `minimum` - minimal value (float) * `maximum` - maximal value (float) **Returns:** * vector of values representing the noise (1d array) """ return np.random.uniform(low=minimum, high=maximum, size=n)
22.096774
80
0.59562
79
685
5.139241
0.658228
0.059113
0.083744
0
0
0
0
0
0
0
0
0.009542
0.235037
685
30
81
22.833333
0.765267
0.690511
0
0
1
0
0
0
0
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0
1
0.333333
false
0
0.333333
0
1
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null
0
0
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0
0
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1
0
0
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null
0
0
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0
0
1
0
0
1
0
1
0
0
4
619e6bd831fadc3987647866446d1017ce105bef
76
py
Python
wikipedia/__init__.py
MUTLCC/Wikipedia
031c2211f4f2212453acb043b702def2128f8dd9
[ "MIT" ]
null
null
null
wikipedia/__init__.py
MUTLCC/Wikipedia
031c2211f4f2212453acb043b702def2128f8dd9
[ "MIT" ]
2
2022-02-26T20:31:47.000Z
2022-03-01T11:05:49.000Z
wikipedia/__init__.py
MUTLCC/Wikipedia
031c2211f4f2212453acb043b702def2128f8dd9
[ "MIT" ]
null
null
null
from .exceptions import * from .wikipedia import * __version__ = (1, 0, 0)
15.2
25
0.697368
10
76
4.9
0.7
0
0
0
0
0
0
0
0
0
0
0.048387
0.184211
76
4
26
19
0.741935
0
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0.666667
0
0.666667
0
1
0
0
null
0
0
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1
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null
0
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0
0
0
0
0
0
1
0
1
0
0
4
61a693dce6455f02828158e78fc158b193532e83
177
py
Python
main.py
digicatech/python_learn
4c9ace5b2ced82243db010dfb755571a8e938e90
[ "MIT" ]
null
null
null
main.py
digicatech/python_learn
4c9ace5b2ced82243db010dfb755571a8e938e90
[ "MIT" ]
null
null
null
main.py
digicatech/python_learn
4c9ace5b2ced82243db010dfb755571a8e938e90
[ "MIT" ]
null
null
null
import sys import modules.mymodule import json def main(argv): modules.mymodule.printSomething("Hello world !....") pass if __name__ == "__main__": main(sys.argv)
16.090909
56
0.694915
22
177
5.227273
0.636364
0.26087
0
0
0
0
0
0
0
0
0
0
0.175141
177
11
57
16.090909
0.787671
0
0
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0
0.140449
0
0
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0
1
0.125
false
0.125
0.375
0
0.5
0.125
1
0
0
null
1
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0
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null
0
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0
0
0
1
1
0
0
0
0
4
f60d8090c2cdbd58e3ab4d58cf6d90c2a12d7245
130
py
Python
Program_Sederhana.py
heptadeka/Kekasih-pertama-ku
d08024127141a8afcad72e57c4d34e3aeec32bf8
[ "MIT" ]
null
null
null
Program_Sederhana.py
heptadeka/Kekasih-pertama-ku
d08024127141a8afcad72e57c4d34e3aeec32bf8
[ "MIT" ]
null
null
null
Program_Sederhana.py
heptadeka/Kekasih-pertama-ku
d08024127141a8afcad72e57c4d34e3aeec32bf8
[ "MIT" ]
null
null
null
print ("Angka Pertama : ") a = int(input()) print ("Angka Kedua : ") b = int (input()) print (hasil = a * b)
9.285714
27
0.476923
16
130
3.875
0.5625
0.322581
0.419355
0
0
0
0
0
0
0
0
0
0.338462
130
13
28
10
0.72093
0
0
0
0
0
0.27027
0
0
0
0
0
0
1
0
false
0
0
0
0
0.6
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
4
f63dead5f417fd3cf971033f182b023dbfeb2ea9
233
py
Python
models/comments.py
Junhua9981/WebProjectFinal
8db619b4196fa3bc684202ddb24a725c15e06d78
[ "MIT" ]
null
null
null
models/comments.py
Junhua9981/WebProjectFinal
8db619b4196fa3bc684202ddb24a725c15e06d78
[ "MIT" ]
null
null
null
models/comments.py
Junhua9981/WebProjectFinal
8db619b4196fa3bc684202ddb24a725c15e06d78
[ "MIT" ]
null
null
null
from sqlite3 import Timestamp from pydantic import BaseModel, Field, EmailStr class CommentModel(BaseModel): comment: str = Field(...) name: str = Field(...) timestamp: Timestamp = Field(...) course: str = Field(...)
29.125
47
0.669528
25
233
6.24
0.56
0.153846
0
0
0
0
0
0
0
0
0
0.005291
0.188841
233
8
48
29.125
0.820106
0
0
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0
0
0
0
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0
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1
0
true
0
0.285714
0
1
0
1
0
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null
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null
0
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0
0
0
1
0
0
4
f65c55623d5158150efe15dc5520e4d0edbf2c49
60
py
Python
qtUtils/Constants.py
KentMrng/kmLib
80cedeb1e27d322849c8b2b56f7f1613cea37b29
[ "MIT" ]
null
null
null
qtUtils/Constants.py
KentMrng/kmLib
80cedeb1e27d322849c8b2b56f7f1613cea37b29
[ "MIT" ]
null
null
null
qtUtils/Constants.py
KentMrng/kmLib
80cedeb1e27d322849c8b2b56f7f1613cea37b29
[ "MIT" ]
null
null
null
UP_KEY = 16777235 DOWN_KEY = 16777237 TAB_KEY = 16777217
8.571429
19
0.75
9
60
4.666667
0.777778
0
0
0
0
0
0
0
0
0
0
0.5
0.2
60
7
20
8.571429
0.375
0
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0
0
0
0
1
0
0
null
0
0
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0
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0
0
0
0
1
0
0
1
0
0
1
0
0
0
0
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null
0
0
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0
0
0
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0
0
0
0
0
0
4
9c938ad7db064d4e3183491aac03445711f5e6c3
46
py
Python
openmdao/__init__.py
relf/OpenMDAO
e96aa063d04330ed0aedece365b7f0b8717aad3b
[ "Apache-2.0" ]
null
null
null
openmdao/__init__.py
relf/OpenMDAO
e96aa063d04330ed0aedece365b7f0b8717aad3b
[ "Apache-2.0" ]
null
null
null
openmdao/__init__.py
relf/OpenMDAO
e96aa063d04330ed0aedece365b7f0b8717aad3b
[ "Apache-2.0" ]
1
2021-04-15T13:33:39.000Z
2021-04-15T13:33:39.000Z
__version__ = '3.8.1-dev' INF_BOUND = 1.0E30
11.5
25
0.673913
9
46
2.888889
0.888889
0
0
0
0
0
0
0
0
0
0
0.179487
0.152174
46
3
26
15.333333
0.487179
0
0
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0.195652
0
0
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false
0
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1
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null
0
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0
0
0
4
9c9d559bbde2a9c3525973fda6f0f1d01e8a7a4d
149
py
Python
querybulletin/__main__.py
bpptkg/bpptkg-querybulletin
5e108a28a06e8a295b55ef6575be4169cd04d36c
[ "MIT" ]
null
null
null
querybulletin/__main__.py
bpptkg/bpptkg-querybulletin
5e108a28a06e8a295b55ef6575be4169cd04d36c
[ "MIT" ]
null
null
null
querybulletin/__main__.py
bpptkg/bpptkg-querybulletin
5e108a28a06e8a295b55ef6575be4169cd04d36c
[ "MIT" ]
null
null
null
"""Invokes main cli function when the querybulletin is run as a script.""" from querybulletin.cli import main if __name__ == '__main__': main()
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9ca2b4dc1c3488f54990ed9f67d782c325f953a4
1,419
py
Python
datatig/models/type.py
DataTig/DataTig
b4e9aa18dfcc8010972df732463344205ad62a75
[ "MIT" ]
5
2021-06-11T11:56:01.000Z
2022-03-03T18:27:10.000Z
datatig/models/type.py
DataTig/DataTig
b4e9aa18dfcc8010972df732463344205ad62a75
[ "MIT" ]
8
2020-04-27T16:28:03.000Z
2022-02-11T15:40:30.000Z
datatig/models/type.py
DataTig/DataTig
b4e9aa18dfcc8010972df732463344205ad62a75
[ "MIT" ]
null
null
null
from .type_field import TypeFieldModel class TypeModel: def __init__(self, siteconfig): self.id = None self.config = None self.fields = {} self.siteconfig = siteconfig def load_from_config(self, config) -> None: self.id = config.get("id") self.config = config self.fields = {} for config in self.config.get("fields", []): field_config = TypeFieldModel() field_config.load(config) self.fields[field_config.id] = field_config def directory(self) -> str: return self.config.get("directory") def directory_in_git_repository(self) -> str: dir = self.config.get("directory") if self.siteconfig.git_submodule_directory() and dir.startswith( self.siteconfig.git_submodule_directory() ): dir = dir[len(self.siteconfig.git_submodule_directory()) :] return dir def guide_form_xlsx(self) -> str: return self.config.get("guide_form_xlsx") def list_fields(self) -> list: return self.config.get("list_fields", []) # TODO add some sensible defaults def json_schema(self) -> str: return self.config.get("json_schema") def pretty_json_indent(self) -> int: return self.config.get("pretty_json_indent", 4) def default_format(self) -> str: return self.config.get("default_format", "yaml")
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4
9cb4269abf41541f70e57aefaeee6cda3b1da1fe
90
py
Python
src/python/okane/entity/account.py
adrianogil/Okane
fe8d45d36a04b04116f8ebd112a7bd6215bfc77d
[ "MIT" ]
null
null
null
src/python/okane/entity/account.py
adrianogil/Okane
fe8d45d36a04b04116f8ebd112a7bd6215bfc77d
[ "MIT" ]
null
null
null
src/python/okane/entity/account.py
adrianogil/Okane
fe8d45d36a04b04116f8ebd112a7bd6215bfc77d
[ "MIT" ]
null
null
null
class Account: def __init__(self, name): self.id = -1 self.name = name
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4
9cb565e4ce245dfdcfdab6d50f71c2b60c2e0491
1,017
py
Python
rewards/file.py
lloydphan/reward-crawler
8bd84104b34db9015ffa9b95e6788b634522d715
[ "MIT" ]
null
null
null
rewards/file.py
lloydphan/reward-crawler
8bd84104b34db9015ffa9b95e6788b634522d715
[ "MIT" ]
null
null
null
rewards/file.py
lloydphan/reward-crawler
8bd84104b34db9015ffa9b95e6788b634522d715
[ "MIT" ]
null
null
null
import os class File: file = "" def __init__(self, file_name): self.file_name = file_name def isFile(self, file_name): if os.path.isfile(file_name): return True else: return False def openOrCreate(self): if self.isFile(self.file_name): with open(self.file_name, "r") as file: return file else: with open(self.file_name, "w+") as file: return file def readFile(self): with open(self.file_name, "r") as reader: return reader.read() def readLine(self): with open(self.file_name, "r") as reader: return reader.readline() def readLnsFile(self): with open(self.file_name, "r") as reader: return reader.readlines() def writeFile(self, line): with open(self.file_name, "a") as wr: wr.write(line + "\n") def rename(self, old_name, new_name): os.rename(old_name, new_name)
24.214286
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1,017
4.143939
0.272727
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0.219378
0.175503
0.361974
0.288848
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0.246801
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1,017
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0
4
9cb8e3fd93d66ca659d61875414b987d07dcaebc
7,174
py
Python
testing/impl/test_big_segments.py
annuupadhyayPS/python-server-sdk-2
782dac861e81c1f5988af93019f5d1d506e8ef00
[ "Apache-2.0" ]
null
null
null
testing/impl/test_big_segments.py
annuupadhyayPS/python-server-sdk-2
782dac861e81c1f5988af93019f5d1d506e8ef00
[ "Apache-2.0" ]
null
null
null
testing/impl/test_big_segments.py
annuupadhyayPS/python-server-sdk-2
782dac861e81c1f5988af93019f5d1d506e8ef00
[ "Apache-2.0" ]
null
null
null
from ldclient.config import BigSegmentsConfig from ldclient.evaluation import BigSegmentsStatus from ldclient.impl.big_segments import BigSegmentStoreManager, _hash_for_user_key from ldclient.interfaces import BigSegmentStoreMetadata from testing.mock_components import MockBigSegmentStore from queue import Queue import time user_key = 'user-key' user_hash = _hash_for_user_key(user_key) def test_membership_query_uncached_result_healthy_status(): expected_membership = { "key1": True, "key2": False } store = MockBigSegmentStore() store.setup_metadata_always_up_to_date() store.setup_membership(user_hash, expected_membership) manager = BigSegmentStoreManager(BigSegmentsConfig(store=store)) try: expected_result = (expected_membership, BigSegmentsStatus.HEALTHY) assert manager.get_user_membership(user_key) == expected_result finally: manager.stop() def test_membership_query_cached_result_healthy_status(): expected_membership = { "key1": True, "key2": False } store = MockBigSegmentStore() store.setup_metadata_always_up_to_date() store.setup_membership(user_hash, expected_membership) manager = BigSegmentStoreManager(BigSegmentsConfig(store=store)) try: expected_result = (expected_membership, BigSegmentsStatus.HEALTHY) assert manager.get_user_membership(user_key) == expected_result assert manager.get_user_membership(user_key) == expected_result finally: manager.stop() assert store.membership_queries == [ user_hash ] # only 1 query done rather than 2, due to caching def test_membership_query_can_cache_result_of_none(): store = MockBigSegmentStore() store.setup_metadata_always_up_to_date() store.setup_membership(user_hash, None) manager = BigSegmentStoreManager(BigSegmentsConfig(store=store)) try: expected_result = ({}, BigSegmentsStatus.HEALTHY) assert manager.get_user_membership(user_key) == expected_result assert manager.get_user_membership(user_key) == expected_result finally: manager.stop() assert store.membership_queries == [ user_hash ] # only 1 query done rather than 2, due to caching def test_membership_query_cache_can_expire(): expected_membership = { "key1": True, "key2": False } store = MockBigSegmentStore() store.setup_metadata_always_up_to_date() store.setup_membership(user_hash, expected_membership) manager = BigSegmentStoreManager(BigSegmentsConfig(store=store, user_cache_time=0.005)) try: expected_result = (expected_membership, BigSegmentsStatus.HEALTHY) assert manager.get_user_membership(user_key) == expected_result time.sleep(0.1) assert manager.get_user_membership(user_key) == expected_result finally: manager.stop() assert store.membership_queries == [ user_hash, user_hash ] # cache expired after 1st query def test_membership_query_stale_status(): expected_membership = { "key1": True, "key2": False } store = MockBigSegmentStore() store.setup_metadata_always_stale() store.setup_membership(user_hash, expected_membership) manager = BigSegmentStoreManager(BigSegmentsConfig(store=store)) try: expected_result = (expected_membership, BigSegmentsStatus.STALE) assert manager.get_user_membership(user_key) == expected_result finally: manager.stop() def test_membership_query_stale_status_no_store_metadata(): expected_membership = { "key1": True, "key2": False } store = MockBigSegmentStore() store.setup_metadata_none() store.setup_membership(user_hash, expected_membership) manager = BigSegmentStoreManager(BigSegmentsConfig(store=store)) try: expected_result = (expected_membership, BigSegmentsStatus.STALE) assert manager.get_user_membership(user_key) == expected_result finally: manager.stop() def test_membership_query_least_recent_user_evicted_from_cache(): user_key_1, user_key_2, user_key_3 = 'userkey1', 'userkey2', 'userkey3' user_hash_1, user_hash_2, user_hash_3 = _hash_for_user_key(user_key_1), \ _hash_for_user_key(user_key_2), _hash_for_user_key(user_key_3) membership_1, membership_2, membership_3 = { 'seg1': True }, { 'seg2': True }, { 'seg3': True } store = MockBigSegmentStore() store.setup_metadata_always_up_to_date() store.setup_membership(user_hash_1, membership_1) store.setup_membership(user_hash_2, membership_2) store.setup_membership(user_hash_3, membership_3) manager = BigSegmentStoreManager(BigSegmentsConfig(store=store, user_cache_size=2)) try: result1 = manager.get_user_membership(user_key_1) result2 = manager.get_user_membership(user_key_2) result3 = manager.get_user_membership(user_key_3) assert store.membership_queries == [user_hash_1, user_hash_2, user_hash_3] # Since the capacity is only 2 and user_key_1 was the least recently used, that key should be # evicted by the user_key_3 query. Now only user_key_2 and user_key_3 are in the cache, and # querying them again should not cause a new query to the store. result2a = manager.get_user_membership(user_key_2) result3a = manager.get_user_membership(user_key_3) assert result2a == result2 assert result3a == result3 assert store.membership_queries == [user_hash_1, user_hash_2, user_hash_3] result1a = manager.get_user_membership(user_key_1) assert result1a == result1 assert store.membership_queries == [user_hash_1, user_hash_2, user_hash_3, user_hash_1] finally: manager.stop() def test_status_polling_detects_store_unavailability(): store = MockBigSegmentStore() store.setup_metadata_always_up_to_date() statuses = Queue() manager = BigSegmentStoreManager(BigSegmentsConfig(store=store, status_poll_interval=0.01)) try: manager.status_provider.add_listener(lambda status: statuses.put(status)) status1 = manager.status_provider.status assert status1.available == True store.setup_metadata_error() status2 = statuses.get(True, 1.0) assert status2.available == False store.setup_metadata_always_up_to_date() status3 = statuses.get(True, 1.0) assert status3.available == True finally: manager.stop() def test_status_polling_detects_stale_status(): store = MockBigSegmentStore() store.setup_metadata_always_up_to_date() statuses = Queue() manager = BigSegmentStoreManager(BigSegmentsConfig(store=store, status_poll_interval=0.01)) try: manager.status_provider.add_listener(lambda status: statuses.put(status)) status1 = manager.status_provider.status assert status1.stale == False store.setup_metadata_always_stale() status2 = statuses.get(True, 1.0) assert status2.stale == True store.setup_metadata_always_up_to_date() status3 = statuses.get(True, 1.0) assert status3.stale == False finally: manager.stop()
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4
9cbe7ffd8d5ee1ddc90b4e073fe95bef3eef59c6
86
py
Python
InvalidSizeException.py
renshj/High-Cadence-Processing
5d5a2df741858f6e1466d7c4b008e9245d4b780a
[ "MIT" ]
null
null
null
InvalidSizeException.py
renshj/High-Cadence-Processing
5d5a2df741858f6e1466d7c4b008e9245d4b780a
[ "MIT" ]
null
null
null
InvalidSizeException.py
renshj/High-Cadence-Processing
5d5a2df741858f6e1466d7c4b008e9245d4b780a
[ "MIT" ]
null
null
null
#This file was created by Tate Hagan class InvalidSizeException(Exception): pass
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4
9cc4ef180071919386b4ebc30c3c006fe56901f7
60
py
Python
src/controller/ai/heuristics/heuristic.py
arubenruben/IART-Ball-Sort-Puzzle
0d71c533e9a329b61220cb90c0bc5a67ae404b89
[ "MIT" ]
null
null
null
src/controller/ai/heuristics/heuristic.py
arubenruben/IART-Ball-Sort-Puzzle
0d71c533e9a329b61220cb90c0bc5a67ae404b89
[ "MIT" ]
null
null
null
src/controller/ai/heuristics/heuristic.py
arubenruben/IART-Ball-Sort-Puzzle
0d71c533e9a329b61220cb90c0bc5a67ae404b89
[ "MIT" ]
null
null
null
class Heuristic: def evaluate(self, node): pass
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4
9cd094ba1fe64b68dd01aa2a34a96cbd8c40ab9b
106
py
Python
tronpy/__init__.py
itsAPK/tronpy
2ffc4f86da1fe5c1429d86d905d185e6918a0a61
[ "MIT" ]
1
2020-10-04T05:50:46.000Z
2020-10-04T05:50:46.000Z
env/lib/python3.6/site-packages/tronpy/__init__.py
YazdanRa/ad_bot
976a6c73cf94746cb92afea1ed3a0e77acfafb46
[ "MIT" ]
null
null
null
env/lib/python3.6/site-packages/tronpy/__init__.py
YazdanRa/ad_bot
976a6c73cf94746cb92afea1ed3a0e77acfafb46
[ "MIT" ]
null
null
null
from tronpy.tron import Tron from tronpy.contract import Contract, ShieldedTRC20 TRX = 1_000_000 SUN = 1
17.666667
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4
9cf3101e56714044e7d21f6c90c4cb271011c0c4
42,599
py
Python
cathedral/graphics/shapes.py
tetris-hermetris/cathedral
4b7809c9406f22ae8842760270e5a97c5bbbed17
[ "MIT" ]
1
2020-10-11T21:54:33.000Z
2020-10-11T21:54:33.000Z
cathedral/graphics/shapes.py
tetris-hermetris/cathedral
4b7809c9406f22ae8842760270e5a97c5bbbed17
[ "MIT" ]
null
null
null
cathedral/graphics/shapes.py
tetris-hermetris/cathedral
4b7809c9406f22ae8842760270e5a97c5bbbed17
[ "MIT" ]
null
null
null
from .geometry import move, moveToPoint from ..utils import sgn from math import sin, cos, pi def window(w=200, h=200, n=150, pivot=(500, 500), sectors=4, corners=1, color={'reds':1}): '''Generate window primitive based on superellipse, returns (points, 'live', color)''' if corners != 0: corners = 1 n = (abs(n) + 1) / 100 sectors *=4 w /= 2 h /= 2 x, y = pivot na = 2 / n piece = (pi * 2) / sectors points = [] t = 0 for t1 in range(sectors + 1): xO=(abs((cos(t)))**na)*w*sgn(cos(t)) yO=(abs((sin(t)))**na)*h*sgn(sin(t)) if not corners: points.append((xO+x, yO+y)) elif sgn(yO) >= 0: points.append((xO+x, yO+y)) elif sgn(xO) < 1: points.append((x-w, yO+y)) else: if corners == 1: points.append((x, y-h)) points.append((x+w, y-h)) corners = 2 points.append((x+w, yO+y)) t+=piece poly = tuple(reversed(points[:-1])) return [poly, 'live', color] def star(s=50, pivot=(500, 500), phase=0, rays=8, lenght=15, fixed=True, color={'yellows':1}): '''A star primitive as (points, 'live', color)''' if fixed: rays = int(rays) if phase > 1: phase = 1 if phase < 0: phase = 0 points = [] ray_angle = 360 / (rays) for n in range(int(360 / ray_angle)): p0 = move(pivot, ray_angle * n, s/2, 'deg') p2 = move(pivot, (ray_angle * n) + (ray_angle / 2), s/2 - lenght, 'deg') points.append(p0) points.append(p2) poly = tuple(reversed(points)) return [poly, 'live', color] def sheep(s=50, pivot=(500, 500), phase=0, color={'whites':1}): '''A sheep primitive as (points, 'live', color)''' phase = abs((phase % 100 - 50) * 2) fr1 = ((0.7476459510357816, 0.048), (0.60075329566855, -0.624), (0.6346516007532956, -0.964), (0.5630885122410546, -1.052), (0.4576271186440678, -0.948), (0.4915254237288136, -0.596), (0.4274952919020716, -0.268), (0.3069679849340866, -0.264), (0.2391713747645951, -0.672), (0.1751412429378531, -0.98), (0.09227871939736347, -1.064), (0.02824858757062147, -0.94), (0.11487758945386065, -0.676), (0.0696798493408663, -0.28), (-0.2542372881355932, -0.344), (-0.4274952919020716, -0.62), (-0.3973634651600753, -0.948), (-0.4312617702448211, -1.056), (-0.5291902071563088, -0.996), (-0.5480225988700564, -0.584), (-0.4764595103578154, -0.3), (-0.5254237288135594, -0.264), (-0.608286252354049, -0.552), (-0.6045197740112994, -1.016), (-0.6572504708097928, -1.104), (-0.7401129943502824, -1.016), (-0.7401129943502824, -0.516), (-0.9058380414312618, -0.12), (-0.8757062146892656, 0.212), (-1.0, 0.212), (-0.6308851224105462, 0.516), (-0.20903954802259886, 0.412), (0.20527306967984935, 0.436), (0.2693032015065913, 0.8), (0.2580037664783427, 0.836), (0.2919020715630885, 0.844), (0.3182674199623352, 0.808), (0.3709981167608286, 0.828), (0.352165725047081, 0.872), (0.2580037664783427, 0.86), (0.10734463276836158, 0.888), (0.04331450094161959, 1.068), (0.1751412429378531, 1.068), (0.3069679849340866, 0.924), (0.3860640301318267, 1.0), (0.5819209039548022, 0.996), (0.6610169491525424, 0.932), (0.7928436911487758, 1.052), (0.9133709981167608, 1.032), (0.8267419962335216, 0.86), (0.7137476459510358, 0.84), (0.615819209039548, 0.852), (0.6120527306967984, 0.808), (0.6308851224105462, 0.78), (0.7024482109227872, 0.828), (0.6572504708097928, 0.72), (0.5404896421845574, 0.6), (0.4124293785310734, 0.6), (0.4651600753295669, 0.536), (0.4350282485875706, 0.5), (0.5103578154425612, 0.5), (0.480225988700565, 0.536), (0.5404896421845574, 0.6), (0.6572504708097928, 0.72), (0.672316384180791, 0.604), (0.687382297551789, 0.504), (0.6949152542372882, 0.46), (0.7062146892655368, 0.404)) fr2 = ((0.6836158192090396, 0.044), (0.6120527306967984, -0.64), (0.623352165725047, -0.956), (0.5630885122410546, -1.052), (0.4463276836158192, -1.004), (0.4990583804143126, -0.66), (0.4576271186440678, -0.3), (0.3069679849340866, -0.264), (0.2843691148775895, -0.644), (0.1374764595103578, -0.972), (0.0696798493408663, -1.036), (-0.0018832391713747645, -0.932), (0.1638418079096045, -0.592), (0.04331450094161959, -0.264), (-0.1751412429378531, -0.276), (-0.4086629001883239, -0.56), (-0.3709981167608286, -0.976), (-0.4538606403013183, -0.94), (-0.4764595103578154, -0.896), (-0.551789077212806, -0.552), (-0.487758945386064, -0.252), (-0.5480225988700564, -0.264), (-0.67984934086629, -0.544), (-0.6045197740112994, -0.996), (-0.664783427495292, -1.008), (-0.736346516007533, -0.928), (-0.8493408662900188, -0.512), (-0.9058380414312618, -0.12), (-0.8757062146892656, 0.212), (-1.0, 0.212), (-0.6308851224105462, 0.516), (-0.11487758945386065, 0.412), (0.15254237288135594, 0.436), (0.4387947269303202, 0.8), (0.4199623352165725, 0.868), (0.5743879472693032, 0.876), (0.6271186440677966, 0.816), (0.6760828625235404, 0.836), (0.6534839924670434, 0.88), (0.4199623352165725, 0.868), (0.2843691148775895, 0.888), (0.19397363465160075, 1.044), (0.3258003766478343, 1.068), (0.4689265536723164, 0.964), (0.5291902071563088, 1.04), (0.7250470809792844, 1.036), (0.7853107344632768, 0.992), (0.8041431261770244, 1.016), (0.9322033898305084, 1.052), (0.8945386064030132, 0.96), (0.8418079096045198, 0.9), (0.8267419962335216, 0.9), (0.8267419962335216, 0.892), (0.8305084745762712, 0.888), (0.8305084745762712, 0.888), (1.0, 0.708), (0.9887005649717514, 0.704), (0.9096045197740112, 0.7), (0.9510357815442562, 0.648), (0.9133709981167608, 0.612), (0.9736346516007532, 0.612), (0.9623352165725048, 0.648), (0.9887005649717514, 0.704), (1.0, 0.708), (0.9774011299435028, 0.6), (0.9058380414312618, 0.556), (0.7288135593220338, 0.58), (0.664783427495292, 0.4)) points = [] for i in range(len(fr1)): p = moveToPoint(fr1[i], fr2[i], phase) points.append(((p[0] * s) + pivot[0], (p[1] * s) + pivot[1])) poly = tuple(points) return [poly, 'live', color] def salamandra(s=50, pivot=(500, 500), phase=0, color={'yellows':1}): '''A salamandra primitive as (points, 'live', color)''' phase = abs((phase % 100 - 50) * 2) fr1 = ((0.12264, -0.324), (0.25472, -0.344), (0.15566, -0.564), (0.40566, -0.532), (0.56604, -0.552), (0.61792, -0.496), (0.7217, -0.568), (0.62736, -0.652), (0.55189, -0.608), (0.36321, -0.628), (0.06604, -0.764), (0.00943, -1.004), (0.12736, -1.204), (0.32547, -1.284), (0.43868, -1.192), (0.58491, -1.264), (0.58491, -1.368), (0.44811, -1.456), (0.31132, -1.368), (0.05189, -1.28), (-0.16981, -1.04), (-0.21698, -0.688), (-0.41981, -0.588), (-0.51887, -0.392), (-0.60377, -0.36), (-0.5566, -0.26), (-0.4434, -0.284), (-0.46226, -0.368), (-0.36321, -0.488), (-0.17925, -0.528), (-0.11321, -0.372), (0.00943, -0.332), (-0.11321, -0.304), (-0.17925, -0.116), (-0.37736, -0.06), (-0.58962, -0.104), (-0.65094, -0.164), (-0.74528, -0.12), (-0.70755, -0.032), (-0.62736, -0.056), (-0.43868, 0.036), (-0.24057, 0.064), (-0.29717, 0.264), (-0.15094, 0.292), (-0.29717, 0.336), (-0.25472, 0.524), (-0.44811, 0.696), (-0.51415, 0.916), (-0.61792, 0.984), (-0.5283, 1.088), (-0.41509, 1.024), (-0.44811, 0.96), (-0.34906, 0.78), (-0.12736, 0.72), (-0.06604, 0.824), (-0.20283, 0.944), (-0.13208, 1.024), (-0.07547, 0.992), (-0.04245, 1.04), (-0.09906, 1.068), (0.08491, 1.34), (0.12264, 1.332), (0.13679, 1.256), (0.09906, 1.228), (0.14151, 1.18), (0.18868, 1.22), (0.16509, 1.256), (0.20755, 1.32), (0.24528, 1.324), (0.33019, 1.036), (0.27358, 1.004), (0.29717, 0.964), (0.35849, 0.992), (0.40094, 0.912), (0.23585, 0.764), (0.25943, 0.7), (0.47642, 0.744), (0.68868, 0.644), (0.75472, 0.68), (0.84434, 0.608), (0.74057, 0.532), (0.66981, 0.588), (0.46226, 0.632), (0.22642, 0.448), (0.14623, 0.328), (0.0, 0.296), (0.13679, 0.26), (0.15566, 0.16), (0.39151, 0.22), (0.53302, 0.32), (0.5566, 0.388), (0.66981, 0.36), (0.66038, 0.244), (0.56132, 0.232), (0.42925, 0.108), (0.21698, -0.044), (0.25472, -0.284)) fr2 = ((0.15094, -0.332), (0.26887, -0.372), (0.09906, -0.628), (0.32075, -0.656), (0.48113, -0.692), (0.54245, -0.644), (0.63208, -0.732), (0.5283, -0.8), (0.46226, -0.748), (0.26415, -0.748), (-0.0283, -0.808), (-0.18868, -1.048), (-0.24057, -1.284), (-0.28774, -1.48), (-0.20283, -1.592), (-0.31132, -1.692), (-0.43868, -1.676), (-0.50943, -1.556), (-0.38679, -1.464), (-0.38208, -1.252), (-0.36792, -0.996), (-0.26887, -0.688), (-0.43868, -0.56), (-0.53302, -0.38), (-0.62264, -0.36), (-0.58491, -0.26), (-0.48113, -0.276), (-0.49057, -0.356), (-0.37264, -0.472), (-0.20283, -0.54), (-0.09906, -0.372), (0.03774, -0.336), (-0.08962, -0.3), (-0.12736, -0.112), (-0.33491, -0.052), (-0.50943, -0.056), (-0.58491, -0.1), (-0.66038, -0.032), (-0.60377, 0.028), (-0.54717, -0.004), (-0.37264, 0.048), (-0.16509, 0.064), (-0.2217, 0.264), (-0.08491, 0.304), (-0.23113, 0.336), (-0.23113, 0.516), (-0.43396, 0.66), (-0.58962, 0.76), (-0.69811, 0.78), (-0.68868, 0.884), (-0.56604, 0.884), (-0.55189, 0.82), (-0.36792, 0.748), (-0.14151, 0.7), (-0.09434, 0.8), (-0.25, 0.908), (-0.1934, 0.996), (-0.13208, 0.968), (-0.10377, 1.016), (-0.16509, 1.044), (-0.02358, 1.324), (0.01887, 1.32), (0.04245, 1.248), (0.0, 1.208), (0.0566, 1.16), (0.10849, 1.212), (0.06604, 1.252), (0.10377, 1.32), (0.14151, 1.324), (0.26415, 1.052), (0.20755, 1.016), (0.23585, 0.976), (0.29717, 1.008), (0.34906, 0.936), (0.20283, 0.768), (0.23585, 0.712), (0.4434, 0.776), (0.64623, 0.8), (0.69811, 0.852), (0.8066, 0.804), (0.73585, 0.716), (0.66038, 0.748), (0.46226, 0.668), (0.24057, 0.484), (0.21698, 0.36), (0.07075, 0.316), (0.21698, 0.288), (0.23585, 0.152), (0.46698, 0.2), (0.61321, 0.268), (0.64623, 0.328), (0.75472, 0.284), (0.71698, 0.184), (0.63208, 0.184), (0.5, 0.092), (0.28302, -0.048), (0.28302, -0.304)) fr3 = ((0.19811, -0.424), (0.28774, -0.484), (0.06132, -0.692), (0.21698, -0.796), (0.39623, -0.832), (0.45755, -0.8), (0.53774, -0.892), (0.4434, -0.952), (0.37736, -0.896), (0.16038, -0.888), (-0.10377, -0.84), (-0.45283, -0.996), (-0.79245, -1.08), (-1.06132, -1.076), (-1.18396, -1.148), (-1.29717, -1.064), (-1.28774, -0.972), (-1.15566, -0.912), (-1.04717, -1.008), (-0.82547, -0.992), (-0.56604, -0.908), (-0.29245, -0.68), (-0.41509, -0.524), (-0.55189, -0.4), (-0.64151, -0.408), (-0.66038, -0.312), (-0.56132, -0.284), (-0.5283, -0.356), (-0.35377, -0.448), (-0.19811, -0.548), (-0.07547, -0.424), (0.07075, -0.404), (-0.04245, -0.348), (-0.01887, -0.144), (-0.24528, -0.076), (-0.42453, -0.02), (-0.51887, -0.028), (-0.53302, 0.068), (-0.42925, 0.08), (-0.41509, 0.02), (-0.24528, 0.028), (-0.01887, 0.028), (-0.07075, 0.228), (0.06132, 0.3), (-0.10377, 0.316), (-0.18868, 0.46), (-0.41038, 0.552), (-0.62264, 0.564), (-0.68396, 0.508), (-0.78302, 0.568), (-0.6934, 0.656), (-0.62736, 0.624), (-0.40094, 0.648), (-0.17453, 0.624), (-0.15566, 0.716), (-0.34906, 0.792), (-0.32075, 0.904), (-0.25, 0.88), (-0.23113, 0.932), (-0.30189, 0.952), (-0.24057, 1.252), (-0.1934, 1.256), (-0.15094, 1.192), (-0.17453, 1.156), (-0.11792, 1.124), (-0.08491, 1.176), (-0.12736, 1.2), (-0.10849, 1.276), (-0.07075, 1.284), (0.12736, 1.04), (0.07547, 0.996), (0.11792, 0.964), (0.16981, 1.004), (0.24057, 0.944), (0.13208, 0.736), (0.1934, 0.692), (0.37264, 0.796), (0.49057, 0.904), (0.46226, 0.948), (0.57075, 1.004), (0.62736, 0.916), (0.56132, 0.884), (0.45755, 0.704), (0.27358, 0.512), (0.34434, 0.364), (0.21226, 0.32), (0.36792, 0.288), (0.40094, 0.1), (0.61321, 0.124), (0.77358, 0.12), (0.82547, 0.164), (0.91981, 0.092), (0.83019, 0.02), (0.76887, 0.052), (0.63679, 0.016), (0.41038, -0.096), (0.32547, -0.408)) fr4 = ((0.19811, -0.516), (0.28774, -0.596), (0.0283, -0.804), (0.15094, -0.952), (0.33962, -0.992), (0.40566, -0.968), (0.47642, -1.068), (0.38208, -1.12), (0.31604, -1.06), (0.08962, -1.04), (-0.16038, -0.932), (-0.57547, -1.0), (-0.90566, -0.816), (-0.99057, -0.528), (-1.07547, -0.392), (-0.98113, -0.308), (-0.86792, -0.32), (-0.80189, -0.432), (-0.91981, -0.52), (-0.82547, -0.724), (-0.60377, -0.848), (-0.32075, -0.744), (-0.41509, -0.568), (-0.56132, -0.472), (-0.65566, -0.492), (-0.69811, -0.396), (-0.59906, -0.352), (-0.55189, -0.42), (-0.35377, -0.5), (-0.20283, -0.624), (-0.0566, -0.496), (0.08491, -0.484), (-0.02358, -0.44), (0.03302, -0.22), (-0.20283, -0.148), (-0.33962, 0.0), (-0.42925, 0.008), (-0.41038, 0.108), (-0.30189, 0.092), (-0.3066, 0.028), (-0.18396, -0.044), (0.05189, -0.052), (-0.01415, 0.148), (0.13208, 0.224), (-0.04717, 0.228), (-0.15094, 0.348), (-0.39151, 0.388), (-0.58019, 0.304), (-0.61321, 0.224), (-0.75, 0.244), (-0.6934, 0.36), (-0.61321, 0.352), (-0.40566, 0.488), (-0.17925, 0.488), (-0.17453, 0.576), (-0.38679, 0.628), (-0.36321, 0.752), (-0.28302, 0.736), (-0.27358, 0.788), (-0.34906, 0.804), (-0.32075, 1.116), (-0.27358, 1.124), (-0.2217, 1.068), (-0.23585, 1.028), (-0.17925, 1.004), (-0.15094, 1.06), (-0.19811, 1.08), (-0.18396, 1.16), (-0.14623, 1.172), (0.08019, 0.956), (0.03302, 0.908), (0.07547, 0.876), (0.12736, 0.924), (0.20283, 0.876), (0.10849, 0.644), (0.18396, 0.608), (0.35849, 0.74), (0.39623, 0.916), (0.32547, 0.944), (0.40566, 1.052), (0.51415, 1.0), (0.48113, 0.924), (0.4717, 0.664), (0.30189, 0.456), (0.42453, 0.32), (0.2783, 0.256), (0.43868, 0.236), (0.48113, 0.012), (0.68868, 0.024), (0.85377, -0.016), (0.91509, 0.024), (1.0, -0.064), (0.88679, -0.12), (0.83962, -0.076), (0.70283, -0.084), (0.47642, -0.18), (0.34906, -0.516)) points = [] if 0 <= phase < 33.3: for i in range(len(fr1)): p = moveToPoint(fr1[i], fr2[i], phase*3) points.append(((p[0] * s) + pivot[0], (p[1] * s) + pivot[1])) if 33.3 <= phase < 66.6: for i in range(len(fr1)): p = moveToPoint(fr2[i], fr3[i], (phase-33.3)*3) points.append(((p[0] * s) + pivot[0], (p[1] * s) + pivot[1])) if 66.6 <= phase <= 100: for i in range(len(fr1)): p = moveToPoint(fr3[i], fr4[i], (phase-66.6)*3) points.append(((p[0] * s) + pivot[0], (p[1] * s) + pivot[1])) poly = tuple(points) return [poly, 'live', color] def salamalamandra(s=50, pivot=(500, 500), phase=0, color={'yellows':1}): '''Long version of salamandra primitive as (points, 'live', color)''' phase = abs((phase % 100 - 50) * 2) fr1 = ((0.10363, 2.072), (0.18135, 2.128), (0.13472, 2.172), (0.18653, 2.236), (0.24352, 2.24), (0.43005, 1.88), (0.35751, 1.84), (0.3886, 1.796), (0.46632, 1.828), (0.50777, 1.756), (0.2487, 1.628), (0.29016, 1.58), (0.64767, 1.644), (0.81347, 1.58), (0.8601, 1.616), (0.95855, 1.556), (0.88083, 1.488), (0.80311, 1.524), (0.64249, 1.552), (0.37306, 1.412), (0.29534, 1.164), (0.35233, 0.976), (0.6114, 1.08), (0.72021, 1.208), (0.73057, 1.28), (0.84456, 1.296), (0.8601, 1.196), (0.78756, 1.172), (0.67358, 1.004), (0.39896, 0.788), (0.46114, 0.58), (0.35233, 0.304), (0.60104, 0.364), (0.81347, 0.276), (0.88601, 0.316), (0.98446, 0.244), (0.87047, 0.164), (0.79793, 0.22), (0.58031, 0.248), (0.27979, 0.136), (0.15026, -0.136), (0.20725, -0.26), (0.50259, -0.156), (0.65285, -0.052), (0.67876, 0.016), (0.79275, 0.008), (0.79275, -0.096), (0.68912, -0.112), (0.54404, -0.268), (0.27979, -0.424), (0.35233, -0.628), (0.27461, -0.944), (0.54922, -0.928), (0.72539, -0.952), (0.78756, -0.896), (0.89637, -0.972), (0.80311, -1.052), (0.71503, -1.004), (0.50259, -1.02), (0.23316, -1.172), (0.17098, -1.328), (0.16062, -1.56), (0.19689, -1.744), (0.28497, -1.912), (0.16062, -1.952), (0.0829, -1.764), (0.01036, -1.552), (-0.03627, -1.36), (-0.06736, -1.084), (-0.3057, -0.976), (-0.40415, -0.78), (-0.49741, -0.744), (-0.44041, -0.648), (-0.33679, -0.68), (-0.34715, -0.76), (-0.24352, -0.88), (-0.04145, -0.924), (0.01554, -0.644), (-0.06218, -0.512), (-0.27979, -0.464), (-0.51295, -0.516), (-0.58549, -0.576), (-0.68394, -0.532), (-0.64249, -0.444), (-0.5544, -0.464), (-0.35233, -0.368), (-0.13472, -0.332), (-0.21762, -0.116), (-0.18135, 0.112), (-0.40933, 0.284), (-0.5285, 0.452), (-0.61658, 0.48), (-0.58549, 0.58), (-0.48705, 0.556), (-0.48705, 0.488), (-0.33161, 0.376), (-0.11399, 0.32), (-0.06218, 0.516), (-0.15026, 0.704), (-0.37824, 0.756), (-0.58031, 0.732), (-0.63731, 0.668), (-0.75648, 0.712), (-0.70984, 0.804), (-0.62694, 0.788), (-0.46114, 0.844), (-0.27461, 0.872), (-0.38342, 1.072), (-0.35233, 1.388), (-0.53368, 1.524), (-0.62176, 1.748), (-0.70466, 1.796), (-0.65285, 1.892), (-0.54404, 1.828), (-0.56995, 1.768), (-0.46632, 1.612), (-0.15026, 1.572), (-0.10363, 1.652), (-0.34715, 1.772), (-0.29016, 1.852), (-0.21762, 1.82), (-0.18653, 1.872), (-0.25907, 1.9), (0.00518, 2.252), (0.06218, 2.248), (0.08808, 2.168), (0.02591, 2.132)) fr2 = ((0.10363, 2.024), (0.20207, 2.092), (0.15026, 2.136), (0.20207, 2.208), (0.25907, 2.208), (0.43005, 1.848), (0.35751, 1.804), (0.39378, 1.76), (0.46632, 1.796), (0.51295, 1.684), (0.25389, 1.588), (0.31088, 1.54), (0.63731, 1.524), (0.81865, 1.48), (0.86528, 1.516), (0.95855, 1.452), (0.88083, 1.388), (0.80311, 1.424), (0.64767, 1.428), (0.37824, 1.316), (0.27979, 1.172), (0.33161, 0.9), (0.6114, 0.92), (0.76684, 0.988), (0.80829, 1.044), (0.91192, 1.028), (0.88083, 0.94), (0.80829, 0.936), (0.64249, 0.836), (0.37306, 0.704), (0.3886, 0.476), (0.30052, 0.232), (0.55959, 0.248), (0.78756, 0.184), (0.8601, 0.22), (0.95855, 0.152), (0.84974, 0.068), (0.77202, 0.128), (0.5544, 0.132), (0.23834, 0.04), (0.18135, -0.18), (0.21244, -0.328), (0.49223, -0.296), (0.67358, -0.244), (0.71503, -0.18), (0.82383, -0.212), (0.79793, -0.312), (0.6943, -0.304), (0.50777, -0.396), (0.23316, -0.512), (0.26943, -0.764), (0.1658, -1.02), (0.4456, -1.032), (0.64767, -1.06), (0.70466, -1.004), (0.81865, -1.08), (0.71503, -1.156), (0.63212, -1.112), (0.41451, -1.128), (0.1399, -1.232), (0.05699, -1.408), (0.03109, -1.648), (0.03627, -1.848), (0.09326, -2.02), (-0.03109, -2.02), (-0.07772, -1.856), (-0.11917, -1.64), (-0.15026, -1.428), (-0.17617, -1.164), (-0.40933, -1.072), (-0.55959, -0.928), (-0.64767, -0.924), (-0.64249, -0.832), (-0.54404, -0.828), (-0.52332, -0.9), (-0.36269, -0.972), (-0.13472, -1.0), (-0.09326, -0.776), (-0.15026, -0.56), (-0.3886, -0.516), (-0.62694, -0.532), (-0.70984, -0.576), (-0.79793, -0.524), (-0.73057, -0.44), (-0.65803, -0.476), (-0.43005, -0.412), (-0.18653, -0.376), (-0.23316, -0.2), (-0.21244, 0.04), (-0.4715, 0.168), (-0.62694, 0.288), (-0.71503, 0.292), (-0.72539, 0.384), (-0.62694, 0.388), (-0.60104, 0.332), (-0.41451, 0.268), (-0.17098, 0.244), (-0.1399, 0.452), (-0.17617, 0.644), (-0.39896, 0.684), (-0.60622, 0.684), (-0.67358, 0.628), (-0.78238, 0.684), (-0.72021, 0.768), (-0.64249, 0.744), (-0.46632, 0.78), (-0.25907, 0.816), (-0.34715, 1.044), (-0.25389, 1.32), (-0.54404, 1.408), (-0.69948, 1.556), (-0.78756, 1.564), (-0.79793, 1.648), (-0.68394, 1.636), (-0.67358, 1.584), (-0.49741, 1.5), (-0.1658, 1.532), (-0.09326, 1.612), (-0.34197, 1.724), (-0.29016, 1.804), (-0.21762, 1.772), (-0.18653, 1.824), (-0.25907, 1.856), (-0.03627, 2.22), (0.02591, 2.216), (0.06736, 2.136), (0.01036, 2.096)) fr3 = ((0.03627, 2.02), (0.13472, 2.104), (0.0829, 2.144), (0.12953, 2.216), (0.18653, 2.216), (0.37824, 1.868), (0.31088, 1.824), (0.35233, 1.772), (0.41451, 1.808), (0.4715, 1.732), (0.2228, 1.604), (0.27979, 1.496), (0.61658, 1.5), (0.76684, 1.572), (0.7772, 1.616), (0.87565, 1.616), (0.8601, 1.536), (0.78238, 1.532), (0.65803, 1.408), (0.34715, 1.3), (0.41969, 1.02), (0.34197, 0.816), (0.59067, 0.776), (0.78238, 0.74), (0.86528, 0.768), (0.92746, 0.692), (0.82383, 0.632), (0.76166, 0.68), (0.54922, 0.684), (0.29534, 0.656), (0.25389, 0.432), (0.25907, 0.2), (0.50259, 0.212), (0.70984, 0.256), (0.74611, 0.312), (0.84456, 0.288), (0.80829, 0.196), (0.72539, 0.208), (0.55959, 0.108), (0.26425, -0.012), (0.23316, -0.232), (0.21244, -0.432), (0.52332, -0.452), (0.73575, -0.504), (0.81347, -0.468), (0.88083, -0.54), (0.79793, -0.604), (0.71503, -0.56), (0.48705, -0.56), (0.19689, -0.616), (0.17617, -0.828), (0.18653, -1.024), (0.44041, -1.016), (0.60622, -0.964), (0.63212, -0.896), (0.74093, -0.912), (0.72539, -1.004), (0.63731, -1.0), (0.48187, -1.116), (0.20207, -1.2), (0.18135, -1.452), (0.13472, -1.66), (0.0829, -1.868), (0.03109, -2.048), (-0.10363, -2.02), (-0.02591, -1.844), (-0.02591, -1.664), (-0.03109, -1.432), (-0.06218, -1.224), (-0.35751, -1.136), (-0.58031, -1.108), (-0.66839, -1.152), (-0.75648, -1.068), (-0.65803, -1.004), (-0.58549, -1.056), (-0.37306, -1.036), (-0.10363, -1.044), (-0.14508, -0.84), (-0.16062, -0.596), (-0.40933, -0.504), (-0.60104, -0.42), (-0.69948, -0.432), (-0.74093, -0.344), (-0.64249, -0.304), (-0.59067, -0.36), (-0.39896, -0.396), (-0.13472, -0.4), (-0.1658, -0.224), (-0.20207, -0.016), (-0.47668, 0.088), (-0.6943, 0.096), (-0.7772, 0.052), (-0.87047, 0.132), (-0.7772, 0.188), (-0.70984, 0.148), (-0.48187, 0.2), (-0.24352, 0.188), (-0.27461, 0.468), (-0.27979, 0.688), (-0.50259, 0.796), (-0.66839, 0.892), (-0.74611, 0.88), (-0.78238, 0.964), (-0.68394, 0.996), (-0.64249, 0.94), (-0.49223, 0.888), (-0.2487, 0.852), (-0.23316, 1.064), (-0.23834, 1.34), (-0.53368, 1.416), (-0.74093, 1.42), (-0.82383, 1.38), (-0.91192, 1.448), (-0.80829, 1.508), (-0.7513, 1.468), (-0.5285, 1.512), (-0.19689, 1.5), (-0.12953, 1.604), (-0.38342, 1.72), (-0.33679, 1.8), (-0.26425, 1.768), (-0.23316, 1.812), (-0.30052, 1.848), (-0.12435, 2.212), (-0.07254, 2.216), (-0.02073, 2.144), (-0.06736, 2.1)) fr4 = ((0.01554, 2.076), (0.0829, 2.132), (0.02073, 2.168), (0.04663, 2.248), (0.10363, 2.248), (0.35751, 1.916), (0.29534, 1.868), (0.33161, 1.816), (0.39896, 1.848), (0.45596, 1.764), (0.21244, 1.652), (0.27461, 1.572), (0.60104, 1.612), (0.70466, 1.768), (0.67876, 1.828), (0.78238, 1.892), (0.83938, 1.796), (0.7513, 1.748), (0.66321, 1.524), (0.39378, 1.388), (0.51295, 1.1), (0.37306, 0.868), (0.55959, 0.84), (0.72539, 0.784), (0.80829, 0.8), (0.84974, 0.708), (0.73575, 0.664), (0.67876, 0.728), (0.47668, 0.752), (0.24352, 0.7), (0.15026, 0.548), (0.2487, 0.32), (0.46632, 0.376), (0.61658, 0.488), (0.62176, 0.556), (0.72021, 0.58), (0.7513, 0.48), (0.66321, 0.452), (0.54404, 0.284), (0.31606, 0.112), (0.35233, -0.116), (0.26943, -0.332), (0.48705, -0.368), (0.68394, -0.464), (0.7772, -0.444), (0.81347, -0.532), (0.71503, -0.576), (0.64767, -0.516), (0.41451, -0.464), (0.19171, -0.512), (0.09845, -0.732), (0.17617, -0.924), (0.37824, -0.88), (0.47668, -0.76), (0.4715, -0.68), (0.57513, -0.648), (0.63212, -0.744), (0.53886, -0.78), (0.44041, -0.976), (0.2228, -1.084), (0.20207, -1.38), (0.14508, -1.588), (0.03627, -1.76), (-0.08808, -1.932), (-0.20725, -1.868), (-0.06736, -1.7), (-0.04145, -1.56), (-0.01554, -1.328), (-0.06218, -1.136), (-0.36788, -1.02), (-0.58031, -1.004), (-0.66839, -1.052), (-0.76684, -0.972), (-0.65285, -0.896), (-0.59585, -0.952), (-0.41969, -0.928), (-0.1399, -0.944), (-0.2487, -0.684), (-0.18653, -0.424), (-0.40933, -0.268), (-0.5544, -0.112), (-0.65803, -0.096), (-0.66321, 0.008), (-0.54404, 0.016), (-0.52332, -0.052), (-0.36788, -0.156), (-0.11399, -0.224), (-0.06736, -0.092), (-0.18135, 0.056), (-0.4456, 0.248), (-0.66321, 0.22), (-0.74093, 0.164), (-0.84974, 0.244), (-0.7513, 0.316), (-0.68394, 0.276), (-0.46632, 0.364), (-0.2228, 0.304), (-0.3886, 0.66), (-0.3057, 0.816), (-0.53886, 1.004), (-0.65285, 1.172), (-0.73057, 1.196), (-0.71503, 1.296), (-0.59585, 1.28), (-0.58549, 1.208), (-0.47668, 1.08), (-0.22798, 1.004), (-0.16062, 1.164), (-0.21244, 1.388), (-0.50777, 1.552), (-0.67358, 1.524), (-0.74611, 1.488), (-0.82383, 1.556), (-0.73057, 1.616), (-0.67876, 1.58), (-0.51295, 1.644), (-0.19171, 1.58), (-0.1399, 1.628), (-0.39896, 1.756), (-0.35751, 1.836), (-0.28497, 1.8), (-0.2487, 1.844), (-0.31606, 1.884), (-0.11399, 2.244), (-0.04145, 2.244), (-0.00518, 2.168), (-0.05181, 2.128)) points = [] if 0 <= phase < 20: for i in range(len(fr1)): p = moveToPoint(fr1[i], fr2[i], phase*3) points.append(((p[0] * s) + pivot[0], (p[1] * s) + pivot[1])) if 20 <= phase < 80: for i in range(len(fr1)): p = moveToPoint(fr2[i], fr3[i], (phase-33.3)*3) points.append(((p[0] * s) + pivot[0], (p[1] * s) + pivot[1])) if 80 <= phase <= 100: for i in range(len(fr1)): p = moveToPoint(fr3[i], fr4[i], (phase-66.6)*3) points.append(((p[0] * s) + pivot[0], (p[1] * s) + pivot[1])) poly = tuple(points) return [poly, 'live', color] def jeanne(s=50, pivot=(500, 500), phase=0, color={'yellows':1}): '''Jeanne D'Arc primitive as (points, 'live', color)''' phase = abs((phase % 100 - 50) * 2) fr1 = ((-0.30501, -0.40212), (-0.29287, -0.44461), (-0.40212, -0.47193), (-0.20486, -1.38543), (-0.19575, -1.38543), (-0.23824, -0.93627), (-0.217, -0.79666), (-0.19272, -0.79666), (-0.19272, -0.72686), (-0.26555, -0.71472), (-0.19272, -0.20789), (-0.12291, -0.05615), (-0.02883, -0.04097), (-0.02883, -0.01973), (-0.09863, -0.01973), (-0.09863, 0.05008), (-0.02276, 0.05918), (-0.02276, 0.08649), (-0.10774, 0.08346), (-0.12595, 0.32625), (-0.13202, 0.32625), (-0.17147, 0.13809), (-0.1563, 0.11381), (-0.20182, 0.03187), (-0.16844, 0.00759), (-0.3566, -0.39302), (-0.53263, -0.44461), (-0.52352, -0.3566), (-0.49621, -0.32929), (-0.52352, -0.2261), (-0.56297, -0.18665), (-0.51745, -0.11684), (-0.45372, -0.16237), (-0.48103, -0.217), (-0.44765, -0.31108), (-0.40819, -0.28983), (-0.39302, -0.25038), (-0.40819, -0.23824), (-0.36571, 0.0349), (-0.34143, 0.05615), (-0.3566, 0.17754), (-0.32322, 0.20789), (-0.25645, 0.55387), (-0.20182, 0.6085), (-0.20789, 0.72382), (-0.06222, 0.76631), (0.03794, 0.77845), (0.03794, 0.84522), (0.08953, 0.83005), (0.14416, 0.83308), (0.17754, 0.87557), (0.17754, 0.8786), (0.14112, 0.85432), (0.09256, 0.84825), (0.04401, 0.86343), (0.00759, 0.94841), (-0.00152, 1.01821), (0.00759, 1.04552), (0.03187, 1.03642), (0.06525, 1.04856), (0.0349, 1.06373), (0.01366, 1.06373), (0.01366, 1.09408), (-0.00759, 1.09408), (-0.02276, 1.03945), (0.00152, 0.89378), (-0.07739, 0.94841), (-0.02276, 1.18513), (0.05918, 1.26707), (0.17147, 1.29439), (0.32625, 1.22458), (0.36267, 1.1305), (0.39605, 0.90895), (0.31108, 0.87557), (0.25038, 0.89985), (0.27162, 0.96965), (0.26252, 1.06677), (0.23217, 1.13657), (0.18665, 1.15478), (0.05008, 1.15781), (0.01366, 1.13961), (0.01669, 1.1305), (0.05311, 1.13961), (0.18665, 1.13961), (0.23217, 1.11533), (0.23824, 1.07587), (0.18665, 1.08801), (0.15933, 1.08194), (0.14719, 1.06677), (0.18665, 1.07891), (0.23824, 1.06373), (0.24431, 1.04249), (0.22003, 1.04249), (0.19272, 1.05766), (0.15933, 1.04249), (0.18665, 1.02124), (0.22003, 1.04249), (0.24431, 1.04249), (0.23824, 0.96055), (0.22307, 0.87557), (0.25645, 0.8695), (0.25038, 0.8088), (0.29894, 0.7997), (0.2959, 0.77542), (0.32625, 0.76935), (0.45068, 0.73596), (0.49317, 0.69954), (0.49317, 1.29439), (0.39605, 1.35205), (0.13809, 1.42489), (0.09256, 1.43399), (0.07436, 1.48558), (-0.17754, 1.48558), (-0.28983, 1.43096), (-0.46586, 1.44006), (-0.58118, 1.46131), (-0.86343, 1.41275), (-0.77542, 1.49165), (-0.66009, 1.56146), (-0.84522, 1.59181), (-0.92716, 1.60698), (-0.70561, 1.7041), (-0.59332, 1.73141), (-0.51138, 1.72231), (-0.34446, 1.68892), (-0.18665, 1.7739), (0.08649, 1.7648), (0.11077, 1.73445), (0.33232, 1.71624), (0.47496, 1.65857), (0.4871, 1.47344), (0.49317, 1.47344), (0.49317, 1.74962), (0.46586, 1.78604), (0.51745, 1.84977), (0.56904, 1.78907), (0.54476, 1.74962), (0.54476, 1.66768), (0.65706, 1.57056), (0.61457, 1.22155), (0.56297, 1.25493), (0.55083, 1.50986), (0.54476, 1.50986), (0.54476, 0.6783), (0.76631, 0.45068), (0.79059, 0.30501), (0.79666, 0.27769), (0.80577, 0.13809), (0.73293, 0.07436), (0.68741, 0.07739), (0.57208, 0.13505), (0.54476, 0.13809), (0.54476, -1.71624), (0.49317, -1.71624), (0.49317, 0.13809), (0.45675, 0.12898), (0.44461, 0.18665), (0.44765, 0.24734), (0.49621, 0.2868), (0.57815, 0.27769), (0.59939, 0.25038), (0.68134, 0.25038), (0.68134, 0.25341), (0.60546, 0.26859), (0.58422, 0.29287), (0.49317, 0.30804), (0.49317, 0.36571), (0.44461, 0.39909), (0.35053, 0.08346), (0.30501, 0.08346), (0.22307, 0.08042), (0.22307, 0.05008), (0.34143, 0.05008), (0.34143, -0.02276), (0.22307, -0.01062), (0.22307, -0.0349), (0.30804, -0.05311), (0.38392, -0.05311), (0.44765, -0.33232), (0.45979, -0.72989), (0.33536, -0.73596), (0.31411, -0.81791), (0.33536, -0.83308), (0.30804, -0.93627), (0.34143, -1.00607), (0.30501, -1.04552), (0.32322, -1.16085), (0.2959, -1.50986), (0.29287, -1.57967), (0.38392, -1.71017), (0.32929, -1.77086), (0.2261, -1.75873), (0.18968, -1.63733), (0.12898, -1.58877), (0.16237, -1.47648), (0.10167, -1.16085), (0.13202, -1.05463), (0.1047, -1.04552), (0.12595, -0.94841), (0.08346, -0.86039), (0.11684, -0.82701), (0.09863, -0.72989), (0.00152, -0.73596), (-0.00152, -0.81184), (0.0258, -0.83308), (-0.01669, -0.92109), (-0.00759, -1.01821), (-0.04097, -1.04249), (-0.01669, -1.15781), (-0.0956, -1.50379), (-0.08649, -1.5827), (-0.10167, -1.62215), (-0.14719, -1.6434), (-0.0956, -1.8953), (-0.11381, -1.9742), (-0.17451, -1.91654), (-0.22307, -1.68892), (-0.2868, -1.76176), (-0.38088, -1.76176), (-0.40516, -1.71017), (-0.32625, -1.62822), (-0.27769, -1.54932), (-0.24127, -1.64643), (-0.23217, -1.63733), (-0.49014, -0.49924), (-0.60243, -0.53566), (-0.6085, -0.49014)) fr2 = ((-0.30501, -0.40212), (-0.29287, -0.44461), (-0.40212, -0.47193), (-0.20486, -1.38543), (-0.19575, -1.38543), (-0.23824, -0.93627), (-0.217, -0.79666), (-0.19272, -0.79666), (-0.19272, -0.72686), (-0.26555, -0.71472), (-0.19272, -0.20789), (-0.12291, -0.05615), (-0.02883, -0.04097), (-0.02883, -0.01973), (-0.09863, -0.01973), (-0.09863, 0.05008), (-0.02276, 0.05918), (-0.02276, 0.08649), (-0.10774, 0.08346), (-0.13809, 0.3566), (-0.14416, 0.3566), (-0.17147, 0.13809), (-0.1563, 0.11381), (-0.20182, 0.03187), (-0.16844, 0.00759), (-0.3566, -0.39302), (-0.53263, -0.44461), (-0.52352, -0.3566), (-0.49621, -0.32929), (-0.52352, -0.2261), (-0.56297, -0.18665), (-0.51745, -0.11684), (-0.45372, -0.16237), (-0.48103, -0.217), (-0.44765, -0.31108), (-0.40819, -0.28983), (-0.39302, -0.25038), (-0.40819, -0.23824), (-0.36571, 0.0349), (-0.34143, 0.05615), (-0.3566, 0.17754), (-0.32322, 0.20789), (-0.26555, 0.55387), (-0.23824, 0.58422), (-0.25948, 0.62671), (-0.06222, 0.73596), (-0.02883, 0.739), (-0.03794, 0.77845), (0.01669, 0.8088), (0.11381, 0.81487), (0.14416, 0.86039), (0.14112, 0.86343), (0.10774, 0.83612), (0.05918, 0.82701), (0.01062, 0.83915), (-0.03187, 0.92109), (-0.04704, 0.9909), (-0.03794, 1.01821), (-0.01366, 1.0091), (0.01973, 1.02428), (-0.01366, 1.03945), (-0.0349, 1.03642), (-0.0349, 1.06677), (-0.05615, 1.06677), (-0.06829, 1.0091), (-0.0349, 0.86646), (-0.11684, 0.91502), (-0.07739, 1.15478), (-0.00152, 1.24279), (0.10774, 1.27618), (0.26859, 1.21851), (0.31108, 1.12747), (0.35964, 0.90895), (0.27466, 0.8695), (0.21396, 0.89074), (0.22914, 0.96055), (0.21396, 1.05766), (0.18058, 1.12443), (0.13202, 1.13961), (-0.00455, 1.13354), (-0.03794, 1.11229), (-0.0349, 1.10319), (0.00152, 1.11533), (0.13505, 1.12443), (0.18058, 1.10319), (0.18968, 1.06373), (0.13809, 1.07284), (0.11077, 1.06373), (0.09863, 1.04856), (0.13809, 1.06373), (0.18968, 1.05159), (0.19879, 1.03035), (0.17451, 1.03035), (0.14416, 1.04249), (0.11381, 1.02428), (0.14112, 1.00607), (0.17451, 1.03035), (0.19879, 1.03035), (0.19879, 0.94841), (0.18968, 0.86343), (0.22307, 0.86039), (0.22003, 0.7997), (0.26859, 0.79363), (0.25948, 0.75114), (0.28983, 0.74507), (0.43551, 0.69651), (0.49317, 0.65402), (0.49317, 1.29439), (0.39605, 1.35205), (0.13809, 1.44006), (0.10167, 1.40668), (0.11684, 1.37026), (-0.10774, 1.28528), (-0.09863, 1.23065), (-0.217, 1.10926), (-0.44158, 1.05766), (-0.6085, 1.07284), (-0.49621, 1.12443), (-0.33536, 1.26707), (-0.52049, 1.29742), (-0.56601, 1.29439), (-0.51138, 1.33687), (-0.27162, 1.40364), (-0.27466, 1.47648), (-0.08953, 1.59484), (-0.01973, 1.61305), (-0.03187, 1.65554), (0.07739, 1.71017), (0.2959, 1.72838), (0.47496, 1.65857), (0.4871, 1.47344), (0.49317, 1.47344), (0.49317, 1.74962), (0.46586, 1.78604), (0.51745, 1.84977), (0.56904, 1.78907), (0.54476, 1.74962), (0.54476, 1.66768), (0.71775, 1.50379), (0.64188, 1.21244), (0.56297, 1.25493), (0.55083, 1.50986), (0.54476, 1.50986), (0.54476, 0.63278), (0.72382, 0.43854), (0.76631, 0.29894), (0.79666, 0.27769), (0.80577, 0.13809), (0.73293, 0.07436), (0.68741, 0.07739), (0.57208, 0.13505), (0.54476, 0.13809), (0.54476, -1.71624), (0.49317, -1.71624), (0.49317, 0.13809), (0.45675, 0.12898), (0.44461, 0.18665), (0.44765, 0.24734), (0.49621, 0.2868), (0.57815, 0.27769), (0.59939, 0.25038), (0.68134, 0.25038), (0.68134, 0.25341), (0.60546, 0.26859), (0.58422, 0.29287), (0.49317, 0.30804), (0.49317, 0.36571), (0.38695, 0.39909), (0.35053, 0.08346), (0.31108, 0.08346), (0.22307, 0.08042), (0.22307, 0.05008), (0.34143, 0.05008), (0.34143, -0.02276), (0.22307, -0.01062), (0.22307, -0.0349), (0.30804, -0.05311), (0.38392, -0.05311), (0.44765, -0.33232), (0.45979, -0.72989), (0.33536, -0.73596), (0.31411, -0.81791), (0.33536, -0.83308), (0.30804, -0.93627), (0.34143, -1.00607), (0.30501, -1.04552), (0.32322, -1.16085), (0.2959, -1.50986), (0.29287, -1.57967), (0.38392, -1.71017), (0.32929, -1.77086), (0.2261, -1.75873), (0.18968, -1.63733), (0.12898, -1.58877), (0.16237, -1.47648), (0.10167, -1.16085), (0.13202, -1.05463), (0.1047, -1.04552), (0.12595, -0.94841), (0.08346, -0.86039), (0.11684, -0.82701), (0.09863, -0.72989), (0.00152, -0.73596), (-0.00152, -0.81184), (0.0258, -0.83308), (-0.01669, -0.92109), (-0.00759, -1.01821), (-0.04097, -1.04249), (-0.01669, -1.15781), (-0.0956, -1.50379), (-0.08649, -1.5827), (-0.10167, -1.62215), (-0.14719, -1.6434), (-0.0956, -1.8953), (-0.11381, -1.9742), (-0.17451, -1.91654), (-0.22307, -1.68892), (-0.2868, -1.76176), (-0.38088, -1.76176), (-0.40516, -1.71017), (-0.32625, -1.62822), (-0.27769, -1.54932), (-0.24127, -1.64643), (-0.23217, -1.63733), (-0.49014, -0.49924), (-0.60243, -0.53566), (-0.6085, -0.49014)) points = [] for i in range(len(fr1)): p = moveToPoint(fr1[i], fr2[i], phase) points.append(((p[0] * s) + pivot[0], (p[1] * s) + pivot[1])) poly = tuple(points) return [poly, 'live', color] def bird(s=50, pivot=(500, 500), phase=0, color={'whites':1}): '''A bird primitive as (points, 'live', color)''' phase = abs((phase % 100 - 50) * 2) fr1 = ((-0.018, -1.022), (-0.022, -1.0), (0.042, -0.958), (-0.046, -0.848), (-0.11, -0.642), (-0.052, -0.434), (-0.066, -0.434), (-0.426, -0.952), (-0.478, -0.938), (-0.502, -0.974), (-0.562, -0.96), (-0.584, -0.994), (-0.638, -0.984), (-0.664, -1.014), (-0.74, -1.0), (-0.096, -0.204), (0.022, -0.16), (0.026, -0.146), (-0.312, -0.194), (-0.39, -0.188), (-0.43, -0.148), (-0.158, -0.102), (-0.152, -0.086), (-0.446, -0.124), (-0.652, -0.094), (-0.714, -0.044), (-0.722, -0.016), (-0.504, -0.04), (-0.356, -0.022), (-0.354, -0.008), (-0.506, -0.016), (-0.792, 0.02), (-0.848, 0.07), (-0.858, 0.106), (-0.562, 0.074), (-0.378, 0.09), (-0.374, 0.104), (-0.59, 0.104), (-0.888, 0.156), (-0.934, 0.21), (-0.942, 0.246), (-0.592, 0.198), (-0.394, 0.206), (-0.392, 0.218), (-0.62, 0.238), (-0.93, 0.292), (-1.002, 0.384), (-1.002, 0.418), (-0.298, 0.332), (0.09, 0.406), (0.136, 0.31), (0.072, 0.214), (0.084, 0.07), (0.204, 0.036), (0.216, 0.046), (0.108, 0.084), (0.1, 0.212), (0.162, 0.312), (0.112, 0.438), (-0.232, 0.384), (-0.514, 0.458), (-0.558, 0.516), (-0.562, 0.556), (-0.432, 0.516), (-0.264, 0.486), (-0.264, 0.498), (-0.43, 0.542), (-0.572, 0.612), (-0.616, 0.682), (-0.616, 0.724), (-0.454, 0.64), (-0.262, 0.594), (-0.262, 0.608), (-0.452, 0.678), (-0.626, 0.782), (-0.652, 0.854), (-0.644, 0.888), (-0.438, 0.77), (-0.238, 0.702), (-0.238, 0.714), (-0.45, 0.82), (-0.658, 0.952), (-0.672, 1.05), (-0.658, 1.082), (-0.42, 0.916), (-0.078, 0.76), (0.24, 0.646), (0.344, 0.54), (0.356, 0.344), (0.274, 0.18), (0.276, 0.168), (0.388, 0.186), (0.632, 0.234), (0.752, 0.21), (0.754, 0.142), (0.73, 0.116), (0.764, 0.086), (0.79, 0.12), (0.762, 0.144), (0.762, 0.208), (0.828, 0.144), (0.832, -0.064), (0.796, -0.112), (0.774, -0.108), (0.79, -0.066), (0.774, 0.012), (0.742, 0.012), (0.768, -0.076), (0.746, -0.076), (0.706, 0.0), (0.67, 0.038), (0.626, 0.046), (0.544, 0.022), (0.404, -0.236), (0.236, -0.362), (0.198, -0.47), (0.28, -0.54), (0.554, -0.516), (0.658, -0.598), (0.652, -0.658), (0.634, -0.658), (0.63, -0.618), (0.56, -0.572), (0.55, -0.574), (0.61, -0.65), (0.594, -0.704), (0.576, -0.702), (0.578, -0.666), (0.516, -0.58), (0.506, -0.582), (0.54, -0.658), (0.524, -0.698), (0.508, -0.7), (0.508, -0.658), (0.438, -0.584), (0.23, -0.652), (0.104, -0.612), (0.126, -0.54), (0.112, -0.538), (0.034, -0.708), (0.046, -0.834), (0.102, -0.924), (0.172, -0.89), (0.25, -0.906), (0.296, -0.934), (0.286, -0.956), (0.24, -0.936), (0.176, -0.926), (0.176, -0.932), (0.238, -0.956), (0.28, -0.984), (0.272, -1.008), (0.23, -0.984), (0.156, -0.96), (0.156, -0.968), (0.216, -0.998), (0.244, -1.034), (0.232, -1.052), (0.198, -1.024), (0.112, -1.0), (0.06, -1.0), (0.014, -1.008)) fr2 = ((-0.038, -1.002), (-0.042, -0.98), (0.022, -0.938), (-0.066, -0.828), (-0.13, -0.622), (-0.058, -0.414), (-0.072, -0.414), (-0.42, -0.928), (-0.464, -0.924), (-0.482, -0.954), (-0.532, -0.944), (-0.554, -0.976), (-0.602, -0.964), (-0.628, -0.998), (-0.692, -0.982), (-0.14, -0.238), (0.034, -0.126), (0.034, -0.11), (-0.188, -0.216), (-0.264, -0.234), (-0.314, -0.206), (-0.066, -0.084), (-0.066, -0.068), (-0.336, -0.188), (-0.542, -0.218), (-0.614, -0.188), (-0.63, -0.162), (-0.416, -0.124), (-0.28, -0.064), (-0.28, -0.05), (-0.426, -0.102), (-0.71, -0.148), (-0.776, -0.116), (-0.796, -0.082), (-0.502, -0.03), (-0.332, 0.036), (-0.332, 0.05), (-0.538, -0.01), (-0.84, -0.046), (-0.9, -0.006), (-0.918, 0.026), (-0.568, 0.08), (-0.38, 0.144), (-0.38, 0.156), (-0.606, 0.11), (-0.918, 0.074), (-1.012, 0.14), (-1.022, 0.174), (-0.472, 0.25), (0.082, 0.45), (0.138, 0.36), (0.062, 0.234), (0.064, 0.09), (0.184, 0.056), (0.19, 0.07), (0.088, 0.104), (0.088, 0.232), (0.17, 0.362), (0.1, 0.49), (-0.17, 0.398), (-0.532, 0.532), (-0.572, 0.594), (-0.572, 0.634), (-0.446, 0.582), (-0.282, 0.538), (-0.28, 0.55), (-0.442, 0.608), (-0.578, 0.69), (-0.616, 0.764), (-0.612, 0.806), (-0.458, 0.708), (-0.27, 0.646), (-0.268, 0.66), (-0.452, 0.746), (-0.616, 0.864), (-0.636, 0.938), (-0.626, 0.972), (-0.43, 0.836), (-0.238, 0.752), (-0.236, 0.764), (-0.438, 0.888), (-0.634, 1.036), (-0.64, 1.136), (-0.624, 1.166), (-0.4, 0.98), (-0.072, 0.796), (0.234, 0.656), (0.33, 0.54), (0.336, 0.41), (0.2, 0.242), (0.208, 0.232), (0.238, 0.26), (0.388, 0.4), (0.524, 0.418), (0.538, 0.352), (0.52, 0.322), (0.558, 0.298), (0.578, 0.336), (0.546, 0.354), (0.534, 0.418), (0.608, 0.386), (0.65, 0.182), (0.624, 0.128), (0.602, 0.128), (0.61, 0.172), (0.58, 0.246), (0.548, 0.24), (0.59, 0.158), (0.568, 0.154), (0.514, 0.22), (0.46, 0.228), (0.412, 0.152), (0.438, -0.034), (0.376, -0.208), (0.216, -0.342), (0.178, -0.45), (0.258, -0.48), (0.466, -0.302), (0.598, -0.308), (0.628, -0.36), (0.614, -0.37), (0.588, -0.34), (0.504, -0.344), (0.502, -0.348), (0.59, -0.378), (0.608, -0.432), (0.594, -0.44), (0.574, -0.41), (0.474, -0.376), (0.472, -0.38), (0.538, -0.426), (0.548, -0.468), (0.536, -0.478), (0.512, -0.444), (0.436, -0.414), (0.224, -0.604), (0.082, -0.588), (0.112, -0.52), (0.098, -0.518), (0.014, -0.688), (0.026, -0.814), (0.082, -0.904), (0.152, -0.87), (0.23, -0.886), (0.276, -0.914), (0.266, -0.936), (0.22, -0.916), (0.156, -0.906), (0.156, -0.912), (0.218, -0.936), (0.26, -0.964), (0.252, -0.988), (0.21, -0.964), (0.136, -0.94), (0.136, -0.948), (0.196, -0.978), (0.224, -1.014), (0.212, -1.032), (0.178, -1.004), (0.092, -0.98), (0.04, -0.98), (-0.006, -0.988)) # fr2 = ((-0.018, -1.022), (-0.022, -1.0), (0.042, -0.958), (-0.046, -0.848), (-0.11, -0.642), (-0.052, -0.434), (-0.066, -0.434), (-0.426, -0.952), (-0.478, -0.938), (-0.502, -0.974), (-0.562, -0.96), (-0.584, -0.994), (-0.638, -0.984), (-0.664, -1.014), (-0.74, -1.0), (-0.096, -0.204), (0.022, -0.16), (0.026, -0.146), (-0.312, -0.194), (-0.39, -0.188), (-0.43, -0.148), (-0.158, -0.102), (-0.152, -0.086), (-0.446, -0.124), (-0.652, -0.094), (-0.714, -0.044), (-0.722, -0.016), (-0.504, -0.04), (-0.356, -0.022), (-0.354, -0.008), (-0.506, -0.016), (-0.792, 0.02), (-0.848, 0.07), (-0.858, 0.106), (-0.562, 0.074), (-0.378, 0.09), (-0.374, 0.104), (-0.59, 0.104), (-0.888, 0.156), (-0.934, 0.21), (-0.942, 0.246), (-0.592, 0.198), (-0.394, 0.206), (-0.392, 0.218), (-0.62, 0.238), (-0.93, 0.292), (-1.002, 0.384), (-1.002, 0.418), (-0.298, 0.332), (0.09, 0.406), (0.136, 0.31), (0.072, 0.214), (0.084, 0.07), (0.204, 0.036), (0.216, 0.046), (0.108, 0.084), (0.1, 0.212), (0.162, 0.312), (0.112, 0.438), (-0.232, 0.384), (-0.514, 0.458), (-0.558, 0.516), (-0.562, 0.556), (-0.432, 0.516), (-0.264, 0.486), (-0.264, 0.498), (-0.43, 0.542), (-0.572, 0.612), (-0.616, 0.682), (-0.616, 0.724), (-0.454, 0.64), (-0.262, 0.594), (-0.262, 0.608), (-0.452, 0.678), (-0.626, 0.782), (-0.652, 0.854), (-0.644, 0.888), (-0.438, 0.77), (-0.238, 0.702), (-0.238, 0.714), (-0.45, 0.82), (-0.658, 0.952), (-0.672, 1.05), (-0.658, 1.082), (-0.42, 0.916), (-0.078, 0.76), (0.24, 0.646), (0.344, 0.54), (0.356, 0.344), (0.274, 0.18), (0.276, 0.168), (0.388, 0.186), (0.632, 0.234), (0.752, 0.21), (0.754, 0.142), (0.73, 0.116), (0.764, 0.086), (0.79, 0.12), (0.762, 0.144), (0.762, 0.208), (0.828, 0.144), (0.832, -0.064), (0.796, -0.112), (0.774, -0.108), (0.79, -0.066), (0.774, 0.012), (0.742, 0.012), (0.768, -0.076), (0.746, -0.076), (0.706, 0.0), (0.67, 0.038), (0.626, 0.046), (0.544, 0.022), (0.404, -0.236), (0.236, -0.362), (0.198, -0.47), (0.28, -0.54), (0.554, -0.516), (0.658, -0.598), (0.652, -0.658), (0.634, -0.658), (0.63, -0.618), (0.56, -0.572), (0.55, -0.574), (0.61, -0.65), (0.594, -0.704), (0.576, -0.702), (0.578, -0.666), (0.516, -0.58), (0.506, -0.582), (0.54, -0.658), (0.524, -0.698), (0.508, -0.7), (0.508, -0.658), (0.438, -0.584), (0.23, -0.652), (0.104, -0.612), (0.126, -0.54), (0.112, -0.538), (0.034, -0.708), (0.046, -0.834), (0.102, -0.924), (0.172, -0.89), (0.25, -0.906), (0.296, -0.934), (0.286, -0.956), (0.24, -0.936), (0.176, -0.926), (0.176, -0.932), (0.238, -0.956), (0.28, -0.984), (0.272, -1.008), (0.23, -0.984), (0.156, -0.96), (0.156, -0.968), (0.216, -0.998), (0.244, -1.034), (0.232, -1.052), (0.198, -1.024), (0.112, -1.0), (0.06, -1.0), (0.014, -1.008)) points = [] for i in range(len(fr1)): p = moveToPoint(fr1[i], fr2[i], phase) points.append(((p[0] * s) + pivot[0], (p[1] * s) + pivot[1])) poly = tuple(points) return [poly, 'live', color]
293.786207
4,693
0.534379
8,586
42,599
2.65071
0.146634
0.002373
0.002373
0.00435
0.342458
0.318555
0.315831
0.313283
0.311086
0.311086
0
0.555386
0.124979
42,599
145
4,694
293.786207
0.055184
0.072044
0
0.452991
0
0
0.001975
0
0
0
0
0
0
1
0.059829
false
0
0.025641
0
0.145299
0
0
0
0
null
0
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0
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0
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1
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null
0
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0
0
0
0
0
0
0
0
0
0
0
4
140a2191c38ca628e9b1554519485cf3548ce587
150
py
Python
soundcard/argparser.py
sayRequil/soundcards
dfe3e7b2ccf22f40e2e240e5bc95f95755c670f4
[ "MIT" ]
null
null
null
soundcard/argparser.py
sayRequil/soundcards
dfe3e7b2ccf22f40e2e240e5bc95f95755c670f4
[ "MIT" ]
null
null
null
soundcard/argparser.py
sayRequil/soundcards
dfe3e7b2ccf22f40e2e240e5bc95f95755c670f4
[ "MIT" ]
null
null
null
import sys class ArgParser: def getArgs(): return sys.args def parser(self): return self def addArg(arr,n): return "-" + n
12.5
20
0.593333
20
150
4.45
0.65
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0.3
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11
21
13.636364
0.847619
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0.375
1
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null
0
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1
0
0
0
1
1
0
0
4
1421395330e20fa1d82eb6b5e919159de66e929d
214
py
Python
sites/Pixiv/__init__.py
LufsX/nazurin
b2d7c0ce1146af6e27520361cdf4ca230b78a215
[ "MIT" ]
null
null
null
sites/Pixiv/__init__.py
LufsX/nazurin
b2d7c0ce1146af6e27520361cdf4ca230b78a215
[ "MIT" ]
null
null
null
sites/Pixiv/__init__.py
LufsX/nazurin
b2d7c0ce1146af6e27520361cdf4ca230b78a215
[ "MIT" ]
1
2020-10-30T19:27:56.000Z
2020-10-30T19:27:56.000Z
"""Pixiv site plugin.""" from .api import Pixiv from .config import PRIORITY from .commands import commands from .interface import patterns, handle __all__ = ['Pixiv', 'commands', 'PRIORITY', 'patterns', 'handle']
30.571429
65
0.738318
26
214
5.923077
0.5
0.181818
0
0
0
0
0
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0
0
0
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0.126168
214
7
65
30.571429
0.823529
0.084112
0
0
0
0
0.183246
0
0
0
0
0
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1
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false
0
0.8
0
0.8
0
1
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null
0
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0
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0
0
0
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0
0
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null
0
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0
0
0
0
0
1
0
1
0
0
4
14347f6d528126e1b0d72ca0d124b67bfb1db522
273
py
Python
linecook/tests/test_patterns.py
tonysyu/linecook
fa7928347bb103d2ea1b25baefc23e5a11ff5d6c
[ "BSD-3-Clause" ]
null
null
null
linecook/tests/test_patterns.py
tonysyu/linecook
fa7928347bb103d2ea1b25baefc23e5a11ff5d6c
[ "BSD-3-Clause" ]
9
2018-05-31T20:50:33.000Z
2019-07-19T01:35:51.000Z
linecook/tests/test_patterns.py
tonysyu/linecook
fa7928347bb103d2ea1b25baefc23e5a11ff5d6c
[ "BSD-3-Clause" ]
null
null
null
from linecook import patterns def test_any_of(): assert patterns.any_of("a", "b", "c") == r"(a|b|c)" def test_bounded_word(): assert patterns.bounded_word("hello") == r"\bhello\b" def test_exact_match(): assert patterns.exact_match("hello") == r"^hello$"
19.5
57
0.663004
42
273
4.095238
0.452381
0.122093
0.034884
0
0
0
0
0
0
0
0
0
0.153846
273
13
58
21
0.744589
0
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0.131868
0
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0.428571
1
0.428571
true
0
0.142857
0
0.571429
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null
0
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0
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0
1
1
0
0
0
1
0
0
4
1466c04f032f5c06c7c3e088655a17f40aa65169
7,713
py
Python
webrecorder/test/test_recs_api.py
gitter-badger/webrecorder
9c4fc3b816a77f312ec864ca8598f7bbc1b41394
[ "Apache-2.0" ]
1
2021-01-01T21:32:53.000Z
2021-01-01T21:32:53.000Z
webrecorder/test/test_recs_api.py
n0ncetonic/webrecorder
7459a0f6bc162eec2d383bd908d82d95cdc15940
[ "Apache-2.0" ]
null
null
null
webrecorder/test/test_recs_api.py
n0ncetonic/webrecorder
7459a0f6bc162eec2d383bd908d82d95cdc15940
[ "Apache-2.0" ]
null
null
null
import time import os from .testutils import FullStackTests # ============================================================================ class TestWebRecRecAPI(FullStackTests): def _anon_post(self, url, *args, **kwargs): return self.testapp.post(url.format(user=self.anon_user), *args, **kwargs) def _anon_delete(self, url, *args, **kwargs): return self.testapp.delete(url.format(user=self.anon_user), *args, **kwargs) def _anon_get(self, url, *args, **kwargs): return self.testapp.get(url.format(user=self.anon_user), *args, **kwargs) def test_create_anon_rec(self): res = self._anon_post('/api/v1/recordings?user={user}&coll=temp', params={'title': 'My Rec'}) assert self.testapp.cookies['__test_sesh'] != '' assert res.json['recording']['id'] == 'my-rec' assert res.json['recording']['title'] == 'My Rec' assert self.redis.exists('r:' + self.anon_user + ':temp:my-rec:info') def test_create_anon_rec_dup(self): res = self._anon_post('/api/v1/recordings?user={user}&coll=temp', params={'title': 'My Rec'}) assert self.testapp.cookies['__test_sesh'] != '' assert res.json['recording']['id'] == 'my-rec-2' assert res.json['recording']['title'] == 'My Rec 2' assert self.redis.exists('r:' + self.anon_user + ':temp:my-rec-2:info') def test_anon_get_anon_rec(self): res = self._anon_get('/api/v1/recordings/my-rec?user={user}&coll=temp') assert res.json['recording'] rec = res.json['recording'] assert rec['size'] == 0 assert rec['id'] == 'my-rec' assert rec['title'] == 'My Rec' assert rec['download_url'] == 'http://localhost:80/{user}/temp/my-rec/$download'.format(user=self.anon_user) assert rec['created_at'] == rec['updated_at'] assert rec['created_at'] <= int(time.time()) def test_create_another_anon_rec(self): res = self._anon_post('/api/v1/recordings?user={user}&coll=temp', params={'title': '2 Another! Recording!'}) assert self.testapp.cookies['__test_sesh'] != '' assert res.json['recording']['id'] == '2-another-recording' assert self.redis.exists('r:' + self.anon_user + ':temp:2-another-recording:info') def test_list_all_recordings(self): res = self._anon_get('/api/v1/recordings?user={user}&coll=temp') recs = res.json['recordings'] assert len(recs) == 3 recs.sort(key=lambda x: x['id']) assert recs[0]['id'] == '2-another-recording' assert recs[0]['title'] == '2 Another! Recording!' assert recs[0]['download_url'] == 'http://localhost:80/{user}/temp/2-another-recording/$download'.format(user=self.anon_user) assert recs[1]['id'] == 'my-rec' assert recs[1]['title'] == 'My Rec' assert recs[1]['download_url'] == 'http://localhost:80/{user}/temp/my-rec/$download'.format(user=self.anon_user) assert recs[2]['id'] == 'my-rec-2' assert recs[2]['title'] == 'My Rec 2' assert recs[2]['download_url'] == 'http://localhost:80/{user}/temp/my-rec-2/$download'.format(user=self.anon_user) def test_page_list_0(self): res = self._anon_get('/api/v1/recordings/my-rec/pages?user={user}&coll=temp') assert res.json == {'pages': []} def test_page_add_1(self): cdx_key = 'r:{user}:temp:my-rec:cdxj'.format(user=self.anon_user) self.redis.zadd(cdx_key, 0, 'com,example)/ 2016010203000000 {}') page = {'title': 'Example', 'url': 'http://example.com/', 'timestamp': '2016010203000000'} res = self._anon_post('/api/v1/recordings/my-rec/pages?user={user}&coll=temp', params=page) assert res.json == {} def test_page_list_1(self): res = self._anon_get('/api/v1/recordings/my-rec/pages?user={user}&coll=temp') assert res.json == {'pages': [{'id': 'cf6e50ec2c', 'title': 'Example', 'url': 'http://example.com/', 'timestamp': '2016010203000000'}]} def test_page_add_2(self): cdx_key = 'r:{user}:temp:my-rec:cdxj'.format(user=self.anon_user) self.redis.zadd(cdx_key, 0, 'com,example)/foo/bar 2016010203000000 {}') page = {'title': 'Example', 'url': 'http://example.com/foo/bar', 'timestamp': '2015010203000000'} res = self._anon_post('/api/v1/recordings/my-rec/pages?user={user}&coll=temp', params=page) assert res.json == {} def test_page_list_2(self): res = self._anon_get('/api/v1/recordings/my-rec/pages?user={user}&coll=temp') assert len(res.json['pages']) == 2 assert {'id': 'cf6e50ec2c', 'title': 'Example', 'url': 'http://example.com/', 'timestamp': '2016010203000000'} in res.json['pages'] assert {'id': 'ce9820d103', 'title': 'Example', 'url': 'http://example.com/foo/bar', 'timestamp': '2015010203000000'} in res.json['pages'] def test_page_delete(self): params = {'url': 'http://example.com/foo/bar', 'timestamp': '2015010203000000'} res = self._anon_delete('/api/v1/recordings/my-rec/pages?user={user}&coll=temp', params=params) assert res.json == {} res = self._anon_get('/api/v1/recordings/my-rec/pages?user={user}&coll=temp') assert len(res.json['pages']) == 1 assert {'id': 'cf6e50ec2c', 'title': 'Example', 'url': 'http://example.com/', 'timestamp': '2016010203000000'} in res.json['pages'] def test_collide_wb_url_format(self): res = self._anon_post('/api/v1/recordings?user={user}&coll=temp', params={'title': '2016'}) assert res.json['recording']['id'] == '2016-' def test_collide_wb_url_format_2(self): res = self._anon_post('/api/v1/recordings?user={user}&coll=temp', params={'title': '2ab_'}) assert res.json['recording']['id'] == '2ab_-' #def test_error_already_exists(self): # res = self._anon_post('/api/v1/recordings?user={user}&coll=temp', params={'title': '2 Another Recording'}, status=400) # assert res.json == {'error_message': 'Recording Already Exists', 'id': '2-another-recording', 'title': '2 Another! Recording!'} def test_error_no_such_rec(self): res = self._anon_get('/api/v1/recordings/blah@$?user={user}&coll=temp', status=404) assert res.json == {'error_message': 'Recording not found', 'id': 'blah@$'} def test_error_no_such_rec_pages(self): res = self._anon_get('/api/v1/recordings/my-rec3/pages?user={user}&coll=temp', status=404) assert res.json == {'error_message': 'Recording not found', 'id': 'my-rec3'} page = {'title': 'Example', 'url': 'http://example.com/foo/bar', 'timestamp': '2015010203000000'} res = self._anon_post('/api/v1/recordings/my-rec3/pages?user={user}&coll=temp', params=page, status=404) assert res.json == {'error_message': 'Recording not found', 'id': 'my-rec3', 'request_data': page} def test_error_missing_user_coll(self): res = self._anon_post('/api/v1/recordings', params={'title': 'Recording'}, status=400) assert res.json == {'error_message': "User must be specified", 'request_data': {'title': 'Recording'}} def test_error_invalid_user_coll(self): res = self._anon_post('/api/v1/recordings?user=user&coll=coll', params={'title': 'Recording'}, status=404) assert res.json == {"error_message": "No such user", 'request_data': {'title': 'Recording'}} def test_rename_rec(self): test_title = 'Test / Special Chars !' res = self._anon_post('/api/v1/recordings/my-rec/rename/Test%20%2F%20Special%20Chars%20!?user={user}&coll=temp') res = res.json assert res['rec_id'] == 'test--special-chars-' assert res['title'] == test_title
46.745455
146
0.623622
1,045
7,713
4.449761
0.107177
0.056774
0.049677
0.065376
0.811828
0.772903
0.703656
0.641505
0.589032
0.544516
0
0.044657
0.172566
7,713
164
147
47.030488
0.683955
0.047323
0
0.185185
0
0.009259
0.36974
0.138635
0
0
0
0
0.435185
1
0.194444
false
0
0.027778
0.027778
0.259259
0
0
0
0
null
0
0
0
1
1
1
0
0
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0
0
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null
0
0
0
1
0
0
0
0
0
0
0
0
0
4
14952922734e6eb5c10d76c8d8e56ccf9b7bf51c
72
py
Python
transformer_baselines/tasks/__init__.py
MilaNLProc/nlpb
6407f5241e5184e296e7c2ddbf51daf3e1d8edf7
[ "MIT" ]
2
2021-06-10T14:42:07.000Z
2021-06-15T19:30:12.000Z
transformer_baselines/tasks/__init__.py
MilaNLProc/transformer-baselines
6407f5241e5184e296e7c2ddbf51daf3e1d8edf7
[ "MIT" ]
null
null
null
transformer_baselines/tasks/__init__.py
MilaNLProc/transformer-baselines
6407f5241e5184e296e7c2ddbf51daf3e1d8edf7
[ "MIT" ]
null
null
null
from .classification import ClassificationTask from .ner import NERTask
24
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8
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72
2
47
36
0.96875
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true
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0
1
0
0
0
0
4
1af00a1f65543731bddb9b9ab36b416c32def47f
3,953
py
Python
VPLVisitor.py
lamhacker/VPL-Compiler
c54850f95342504e962b990c5cac17679e7069a9
[ "Apache-2.0" ]
2
2020-01-28T12:41:09.000Z
2020-04-25T13:31:43.000Z
VPLVisitor.py
lamhacker/VPL-Compiler
c54850f95342504e962b990c5cac17679e7069a9
[ "Apache-2.0" ]
null
null
null
VPLVisitor.py
lamhacker/VPL-Compiler
c54850f95342504e962b990c5cac17679e7069a9
[ "Apache-2.0" ]
null
null
null
# Generated from VPL.g4 by ANTLR 4.7 from antlr4 import * if __name__ is not None and "." in __name__: from .VPLParser import VPLParser else: from VPLParser import VPLParser # This class defines a complete generic visitor for a parse tree produced by VPLParser. class VPLVisitor(ParseTreeVisitor): # Visit a parse tree produced by VPLParser#program. def visitProgram(self, ctx:VPLParser.ProgramContext): return self.visitChildren(ctx) # Visit a parse tree produced by VPLParser#function_declaration. def visitFunction_declaration(self, ctx:VPLParser.Function_declarationContext): return self.visitChildren(ctx) # Visit a parse tree produced by VPLParser#parameter. def visitParameter(self, ctx:VPLParser.ParameterContext): return self.visitChildren(ctx) # Visit a parse tree produced by VPLParser#parameterName. def visitParameterName(self, ctx:VPLParser.ParameterNameContext): return self.visitChildren(ctx) # Visit a parse tree produced by VPLParser#multParameterName. def visitMultParameterName(self, ctx:VPLParser.MultParameterNameContext): return self.visitChildren(ctx) # Visit a parse tree produced by VPLParser#variable_declaration. def visitVariable_declaration(self, ctx:VPLParser.Variable_declarationContext): return self.visitChildren(ctx) # Visit a parse tree produced by VPLParser#condition. def visitCondition(self, ctx:VPLParser.ConditionContext): return self.visitChildren(ctx) # Visit a parse tree produced by VPLParser#whileloop. def visitWhileloop(self, ctx:VPLParser.WhileloopContext): return self.visitChildren(ctx) # Visit a parse tree produced by VPLParser#assign. def visitAssign(self, ctx:VPLParser.AssignContext): return self.visitChildren(ctx) # Visit a parse tree produced by VPLParser#noneStatement. def visitNoneStatement(self, ctx:VPLParser.NoneStatementContext): return self.visitChildren(ctx) # Visit a parse tree produced by VPLParser#nest_statement. def visitNest_statement(self, ctx:VPLParser.Nest_statementContext): return self.visitChildren(ctx) # Visit a parse tree produced by VPLParser#addExpression. def visitAddExpression(self, ctx:VPLParser.AddExpressionContext): return self.visitChildren(ctx) # Visit a parse tree produced by VPLParser#minusExpression. def visitMinusExpression(self, ctx:VPLParser.MinusExpressionContext): return self.visitChildren(ctx) # Visit a parse tree produced by VPLParser#multExpression. def visitMultExpression(self, ctx:VPLParser.MultExpressionContext): return self.visitChildren(ctx) # Visit a parse tree produced by VPLParser#divExpression. def visitDivExpression(self, ctx:VPLParser.DivExpressionContext): return self.visitChildren(ctx) # Visit a parse tree produced by VPLParser#minExpression. def visitMinExpression(self, ctx:VPLParser.MinExpressionContext): return self.visitChildren(ctx) # Visit a parse tree produced by VPLParser#parenthesisExpression. def visitParenthesisExpression(self, ctx:VPLParser.ParenthesisExpressionContext): return self.visitChildren(ctx) # Visit a parse tree produced by VPLParser#idenetExpression. def visitIdenetExpression(self, ctx:VPLParser.IdenetExpressionContext): return self.visitChildren(ctx) # Visit a parse tree produced by VPLParser#numExpression. def visitNumExpression(self, ctx:VPLParser.NumExpressionContext): return self.visitChildren(ctx) # Visit a parse tree produced by VPLParser#lessThan. def visitLessThan(self, ctx:VPLParser.LessThanContext): return self.visitChildren(ctx) # Visit a parse tree produced by VPLParser#largeThan. def visitLargeThan(self, ctx:VPLParser.LargeThanContext): return self.visitChildren(ctx) del VPLParser
33.5
87
0.752846
434
3,953
6.817972
0.237327
0.04461
0.074349
0.133829
0.439
0.439
0.429199
0.417709
0.417709
0.417709
0
0.001233
0.17961
3,953
118
88
33.5
0.911193
0.322287
0
0.428571
1
0
0.00038
0
0
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0
0
0
1
0.428571
false
0
0.061224
0.428571
0.938776
0
0
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0
null
0
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0
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null
0
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0
1
0
0
0
1
1
0
0
4
213678d22ab971b6d7443d1f8098633d1d5fca24
3,071
py
Python
ooobuild/csslo/view/__init__.py
Amourspirit/ooo_uno_tmpl
64e0c86fd68f24794acc22d63d8d32ae05dd12b8
[ "Apache-2.0" ]
null
null
null
ooobuild/csslo/view/__init__.py
Amourspirit/ooo_uno_tmpl
64e0c86fd68f24794acc22d63d8d32ae05dd12b8
[ "Apache-2.0" ]
null
null
null
ooobuild/csslo/view/__init__.py
Amourspirit/ooo_uno_tmpl
64e0c86fd68f24794acc22d63d8d32ae05dd12b8
[ "Apache-2.0" ]
null
null
null
# coding: utf-8 # # Copyright 2022 :Barry-Thomas-Paul: Moss # # 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 ...lo.view.document_zoom_type import DocumentZoomType as DocumentZoomType from ...lo.view.duplex_mode import DuplexMode as DuplexMode from ...lo.view.office_document_view import OfficeDocumentView as OfficeDocumentView from ...lo.view.paper_format import PaperFormat as PaperFormat from ...lo.view.paper_orientation import PaperOrientation as PaperOrientation from ...lo.view.print_job_event import PrintJobEvent as PrintJobEvent from ...lo.view.print_options import PrintOptions as PrintOptions from ...lo.view.print_settings import PrintSettings as PrintSettings from ...lo.view.printable_state import PrintableState as PrintableState from ...lo.view.printable_state_event import PrintableStateEvent as PrintableStateEvent from ...lo.view.printer_descriptor import PrinterDescriptor as PrinterDescriptor from ...lo.view.render_descriptor import RenderDescriptor as RenderDescriptor from ...lo.view.render_options import RenderOptions as RenderOptions from ...lo.view.selection_type import SelectionType as SelectionType from ...lo.view.view_settings import ViewSettings as ViewSettings from ...lo.view.x_control_access import XControlAccess as XControlAccess from ...lo.view.x_form_layer_access import XFormLayerAccess as XFormLayerAccess from ...lo.view.x_line_cursor import XLineCursor as XLineCursor from ...lo.view.x_multi_selection_supplier import XMultiSelectionSupplier as XMultiSelectionSupplier from ...lo.view.x_print_job import XPrintJob as XPrintJob from ...lo.view.x_print_job_broadcaster import XPrintJobBroadcaster as XPrintJobBroadcaster from ...lo.view.x_print_job_listener import XPrintJobListener as XPrintJobListener from ...lo.view.x_print_settings_supplier import XPrintSettingsSupplier as XPrintSettingsSupplier from ...lo.view.x_printable import XPrintable as XPrintable from ...lo.view.x_printable_broadcaster import XPrintableBroadcaster as XPrintableBroadcaster from ...lo.view.x_printable_listener import XPrintableListener as XPrintableListener from ...lo.view.x_renderable import XRenderable as XRenderable from ...lo.view.x_screen_cursor import XScreenCursor as XScreenCursor from ...lo.view.x_selection_change_listener import XSelectionChangeListener as XSelectionChangeListener from ...lo.view.x_selection_supplier import XSelectionSupplier as XSelectionSupplier from ...lo.view.x_view_cursor import XViewCursor as XViewCursor from ...lo.view.x_view_settings_supplier import XViewSettingsSupplier as XViewSettingsSupplier
62.673469
103
0.83621
409
3,071
6.136919
0.337408
0.076494
0.12749
0.074502
0.1
0.022709
0
0
0
0
0
0.003246
0.097037
3,071
48
104
63.979167
0.901911
0.187561
0
0
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1
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true
0
1
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1
0.40625
0
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null
0
0
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0
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0
0
1
0
1
0
1
1
0
4
2144cd7eea60aa5161075deb53b0b1b482c7e63b
6,082
py
Python
PyTrinamic/examples/evalboards/TMC5031/TMC5031_eval_register_dump.py
trinamic-AA/PyTrinamic
b054f4baae8eb6d3f5d2574cf69c232f66abb4ee
[ "MIT" ]
37
2019-01-13T11:08:45.000Z
2022-03-25T07:18:15.000Z
PyTrinamic/examples/evalboards/TMC5031/TMC5031_eval_register_dump.py
AprDec/PyTrinamic
a9db10071f8fbeebafecb55c619e5893757dd0ce
[ "MIT" ]
56
2019-02-25T02:48:27.000Z
2022-03-31T08:45:34.000Z
PyTrinamic/examples/evalboards/TMC5031/TMC5031_eval_register_dump.py
AprDec/PyTrinamic
a9db10071f8fbeebafecb55c619e5893757dd0ce
[ "MIT" ]
26
2019-01-14T05:20:16.000Z
2022-03-08T13:27:35.000Z
#!/usr/bin/env python3 ''' Dump all register values of the TMC5031 IC. The connection to a Landungsbrücke is established over USB. TMCL commands are used for communicating with the IC. Created on 29.01.2020 @author: JM ''' import PyTrinamic from PyTrinamic.connections.ConnectionManager import ConnectionManager from PyTrinamic.evalboards.TMC5031_eval import TMC5031_eval PyTrinamic.showInfo() connectionManager = ConnectionManager() myInterface = connectionManager.connect() TMC5031 = TMC5031_eval(myInterface) print("GCONF: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.GCONF))) print("GSTAT: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.GSTAT))) print("SLAVECONF: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.SLAVECONF))) print("INPUT: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.INPUT))) print("X_COMPARE: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.X_COMPARE))) print("RAMPMODE_M1: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.RAMPMODE[0]))) print("XACTUAL_M1: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.XACTUAL[0]))) print("VACTUAL_M1: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.VACTUAL[0]))) print("VSTART_M1: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.VSTART[0]))) print("A1: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.A1[0]))) print("V1: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.V1[0]))) print("AMAX_M1: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.AMAX[0]))) print("VMAX_M1: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.VMAX[0]))) print("DMAX_M1: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.DMAX[0]))) print("D1_M1: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.D1[0]))) print("VSTOP_M1: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.VSTOP[0]))) print("TZEROWAIT_M1: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.TZEROWAIT[0]))) print("XTARGET_M1: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.XTARGET[0]))) print("IHOLD_IRUN_M1: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.IHOLD_IRUN[0]))) print("VCOOLTHRS_M1: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.VCOOLTHRS[0]))) print("VHIGH_M1: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.VHIGH[0]))) print("SW_MODE_M1: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.SWMODE[0]))) print("RAMP_STAT_M1: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.RAMPSTAT[0]))) print("XLATCH_M1: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.XLATCH[0]))) print("RAMPMODE_M2: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.RAMPMODE[1]))) print("XACTUAL_M2: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.XACTUAL[1]))) print("VACTUAL_M2: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.VACTUAL[1]))) print("VSTART_M2: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.VSTART[1]))) print("A1_M2: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.A1[1]))) print("V1_M2: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.V1[1]))) print("AMAX_M2: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.AMAX[1]))) print("VMAX_M2: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.VMAX[1]))) print("DMAX_M2: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.DMAX[1]))) print("D1_M2: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.D1[1]))) print("VSTOP_M2: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.VSTOP[1]))) print("TZEROWAIT_M2: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.TZEROWAIT[1]))) print("XTARGET_M2: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.XTARGET[1]))) print("IHOLD_IRUN_M2: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.IHOLD_IRUN[1]))) print("VCOOLTHRS_M2: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.VCOOLTHRS[1]))) print("VHIGH_M2: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.VHIGH[1]))) print("SW_MODE_M2: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.SW_MODE_M2[1]))) print("RAMP_STAT_M2: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.RAMP_STAT_M2[1]))) print("XLATCH_M2: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.XLATCH[1]))) print("MSLUT___M1: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.MSLUT___M1))) print("MSLUT___M2: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.MSLUT___M2))) print("MSLUTSEL_M1: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.MSLUTSEL_M1))) print("MSLUTSTART_M1: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.MSLUTSTART_M1))) print("MSCNT_M1: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.MSCNT_M1[0]))) print("MSCURACT_M1: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.MSCURACT_M1[0]))) print("CHOPCONF_M1: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.CHOPCONF_M1[0]))) print("COOLCONF_M1: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.COOLCONF_M1[0]))) print("DRV_STATUS_M1: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.DRV_STATUS_M1[0]))) print("MSLUTSEL_M2: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.MSLUTSEL_M2))) print("MSLUTSTART_M2: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.MSLUTSTART_M2))) print("MSCNT_M2: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.MSCNT_M2[1]))) print("MSCURACT_M2: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.MSCURACT_M2[1]))) print("CHOPCONF_M2: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.CHOPCONF_M2[1]))) print("COOLCONF_M2: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.COOLCONF_M2[1]))) print("DRV_STATUS_M2: 0x{0:08X}".format(TMC5031.readRegister(TMC5031.registers.DRV_STATUS_M2[1]))) myInterface.close()
69.908046
99
0.745807
849
6,082
5.228504
0.110718
0.039874
0.079748
0.159495
0.718856
0.718856
0.718856
0.718856
0.665916
0.050462
0
0.154435
0.076948
6,082
87
100
69.908046
0.636266
0.035515
0
0
0
0
0.251749
0
0
0
0
0
0
1
0
false
0
0.044776
0
0.044776
0.880597
0
0
0
null
0
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1
1
1
0
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null
0
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0
0
0
0
0
0
1
0
4
dcd16236a48192d6b0bbc066bc05dce0f6e838c0
138
py
Python
examples/no_end_MPI_loop_test.py
hamish2014/batchOpenMPI
4e573c4bd84ae0ac88d18f96e90680bc9179a9d2
[ "MIT" ]
null
null
null
examples/no_end_MPI_loop_test.py
hamish2014/batchOpenMPI
4e573c4bd84ae0ac88d18f96e90680bc9179a9d2
[ "MIT" ]
null
null
null
examples/no_end_MPI_loop_test.py
hamish2014/batchOpenMPI
4e573c4bd84ae0ac88d18f96e90680bc9179a9d2
[ "MIT" ]
1
2021-01-14T04:53:58.000Z
2021-01-14T04:53:58.000Z
import batchOpenMPI batchOpenMPI.begin_MPI_loop() print('Basic test to see if mpirun hangs is no end_MPI_loop is called on the master')
23
85
0.804348
24
138
4.458333
0.833333
0.130841
0
0
0
0
0
0
0
0
0
0
0.144928
138
5
86
27.6
0.90678
0
0
0
0
0
0.550725
0
0
0
0
0
0
1
0
true
0
0.333333
0
0.333333
0.333333
1
0
0
null
0
0
0
0
0
0
0
0
0
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0
0
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1
0
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0
0
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0
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1
0
1
0
0
0
0
4
dcd704d81482a7cb63651b9e05b60c97523ea94a
301
py
Python
bot/classes/__init__.py
monkeydg/POG-bot
97ced2c4b8f8709887b3d0828484e1dd1128dc1f
[ "MIT" ]
2
2020-09-24T14:56:50.000Z
2021-04-15T16:12:36.000Z
bot/classes/__init__.py
monkeydg/POG-bot
97ced2c4b8f8709887b3d0828484e1dd1128dc1f
[ "MIT" ]
12
2021-04-28T15:33:34.000Z
2022-03-29T10:10:05.000Z
bot/classes/__init__.py
monkeydg/POG-bot
97ced2c4b8f8709887b3d0828484e1dd1128dc1f
[ "MIT" ]
6
2020-08-01T13:38:40.000Z
2020-08-14T20:35:17.000Z
from .accounts import Account from .bases import Base from .players import Player, ActivePlayer, CharNotFound, CharAlreadyExists, CharInvalidWorld, CharMissingFaction from .weapons import Weapon from .teams import Team from .stats import PlayerStat from .scores import TeamScore, PlayerScore, Loadout
37.625
112
0.837209
35
301
7.2
0.657143
0
0
0
0
0
0
0
0
0
0
0
0.116279
301
7
113
43
0.947368
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
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0
0
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0
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0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
4
dcdaf7c2e2ffd343fded4420e627d43ad5320759
104
py
Python
healthcom/betterhealth/apps.py
qaifikhan/django-ecommerce-website
6781dddc3ce4dacfb036411514f2876cccabf618
[ "MIT" ]
1
2022-03-26T01:12:45.000Z
2022-03-26T01:12:45.000Z
healthcom/betterhealth/apps.py
qaifikhan/django-ecommerce-website
6781dddc3ce4dacfb036411514f2876cccabf618
[ "MIT" ]
null
null
null
healthcom/betterhealth/apps.py
qaifikhan/django-ecommerce-website
6781dddc3ce4dacfb036411514f2876cccabf618
[ "MIT" ]
null
null
null
from django.apps import AppConfig class BetterhealthConfig(AppConfig): name = 'betterhealth'
17.333333
37
0.740385
10
104
7.7
0.9
0
0
0
0
0
0
0
0
0
0
0
0.192308
104
5
38
20.8
0.916667
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0
0
0.121212
0
0
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0
0
1
0
false
0
0.333333
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1
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1
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0
null
0
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0
0
0
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0
0
0
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0
0
0
null
0
0
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0
0
0
0
1
0
1
0
0
4
dce886482b7dbb2f6a620b20e40549d3044dd4fa
135
py
Python
exercicios/ex003.py
DeyvisonR/curso_python
983b634d39f542369628ae48c7449ea75fd1ebbd
[ "MIT" ]
null
null
null
exercicios/ex003.py
DeyvisonR/curso_python
983b634d39f542369628ae48c7449ea75fd1ebbd
[ "MIT" ]
null
null
null
exercicios/ex003.py
DeyvisonR/curso_python
983b634d39f542369628ae48c7449ea75fd1ebbd
[ "MIT" ]
null
null
null
n1 = int(input('digite um número: ')) n2 = int(input('digite outro número: ')) print('a soma de {} + {} = {}'.format(n1, n2, n1 + n2))
33.75
55
0.57037
21
135
3.666667
0.619048
0.207792
0.363636
0
0
0
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0
0
0
0
0.054054
0.177778
135
3
56
45
0.63964
0
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0.451852
0
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false
0
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1
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null
1
1
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0
0
0
0
0
0
4
dcf500f23bb6a1dce3bfd76b6fd1d156227d34c2
319
py
Python
file_food.py
JakubCzech/Snake_pygame
c26ff7749244014a80e4dcf3ea7bacc714a1b052
[ "MIT" ]
null
null
null
file_food.py
JakubCzech/Snake_pygame
c26ff7749244014a80e4dcf3ea7bacc714a1b052
[ "MIT" ]
null
null
null
file_food.py
JakubCzech/Snake_pygame
c26ff7749244014a80e4dcf3ea7bacc714a1b052
[ "MIT" ]
null
null
null
class _Food: color = (107, 0, 0) def __init__(self, pos_x, pos_y, live = 100): self.pos_x = pos_x self.pos_y = pos_y self.live = live def get_pos_x(self): return self.pos_x def get_pos_y(self): return self.pos_y def live_decrement(self): self.live -=1
26.583333
49
0.576803
53
319
3.132075
0.320755
0.210843
0.144578
0.13253
0
0
0
0
0
0
0
0.041475
0.319749
319
12
50
26.583333
0.723502
0
0
0
0
0
0
0
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1
0.333333
false
0
0
0.166667
0.666667
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null
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null
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1
0
0
0
1
1
0
0
4
b4ce0277a10f0fbbe2ba02fa453e2a4a15185b3c
69
py
Python
pseudoslam/envs/__init__.py
HaojieSHI98/HouseExpo
2a2388e6e38e9698390e35fcf54e7ff00cd34253
[ "MIT" ]
null
null
null
pseudoslam/envs/__init__.py
HaojieSHI98/HouseExpo
2a2388e6e38e9698390e35fcf54e7ff00cd34253
[ "MIT" ]
null
null
null
pseudoslam/envs/__init__.py
HaojieSHI98/HouseExpo
2a2388e6e38e9698390e35fcf54e7ff00cd34253
[ "MIT" ]
null
null
null
# from pseudoslam.envs.robot_exploration_v0 import RobotExplorationT0
69
69
0.898551
8
69
7.5
1
0
0
0
0
0
0
0
0
0
0
0.030769
0.057971
69
1
69
69
0.892308
0.971014
0
null
0
null
0
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null
0
0
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null
1
null
true
0
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null
null
null
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null
0
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0
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0
0
0
0
0
4
b4d86ffd8b842855d630411c14ff879a81d80b1d
39
py
Python
ecasb2share/tests/__init__.py
statiksof/ECAS-B2SHARE
bdaf939877e78a3f847c56f5d6bc5077b6dea719
[ "MIT" ]
1
2021-05-19T09:33:21.000Z
2021-05-19T09:33:21.000Z
ecasb2share/tests/__init__.py
statiksof/ECAS-B2SHARE
bdaf939877e78a3f847c56f5d6bc5077b6dea719
[ "MIT" ]
null
null
null
ecasb2share/tests/__init__.py
statiksof/ECAS-B2SHARE
bdaf939877e78a3f847c56f5d6bc5077b6dea719
[ "MIT" ]
1
2019-09-03T15:28:18.000Z
2019-09-03T15:28:18.000Z
all = ["ecas_b2share_test", "tests.py"]
39
39
0.692308
6
39
4.166667
1
0
0
0
0
0
0
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0
0.027778
0.076923
39
1
39
39
0.666667
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0.625
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null
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0
0
0
0
0
4
370221d857ff76f741440f2985caaabd4680951b
233
py
Python
lib/plugs/ms_teams.py
bankova-gabriella/layer
87feadbca7bcb935b91e1a4b29fd15ea26103075
[ "MIT" ]
null
null
null
lib/plugs/ms_teams.py
bankova-gabriella/layer
87feadbca7bcb935b91e1a4b29fd15ea26103075
[ "MIT" ]
null
null
null
lib/plugs/ms_teams.py
bankova-gabriella/layer
87feadbca7bcb935b91e1a4b29fd15ea26103075
[ "MIT" ]
null
null
null
import pymsteams def send_message(message, webhook): pymsteams.connectorcard(webhook).text(message).send() class MSTeamsAPI: def __init__(self, layer): self.layer = layer self.send_message = send_message
17.923077
57
0.708155
27
233
5.851852
0.481481
0.208861
0
0
0
0
0
0
0
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0
0.197425
233
12
58
19.416667
0.84492
0
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0
0
0
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0
0
0
1
0.285714
false
0
0.142857
0
0.571429
0
1
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0
null
1
0
0
0
0
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0
0
0
0
0
0
0
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0
0
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0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
1
0
0
4
37315b5d14bcf141134b361b3e912811908e46c4
2,029
py
Python
rbig_jax/transforms/rotation.py
alexhepburn/rbig_jax
706dd60d2049071be0fb3d311c83719121854678
[ "MIT" ]
null
null
null
rbig_jax/transforms/rotation.py
alexhepburn/rbig_jax
706dd60d2049071be0fb3d311c83719121854678
[ "MIT" ]
null
null
null
rbig_jax/transforms/rotation.py
alexhepburn/rbig_jax
706dd60d2049071be0fb3d311c83719121854678
[ "MIT" ]
null
null
null
import collections import jax.numpy as np from chex import Array, dataclass RotParams = collections.namedtuple("Params", ["rotation"]) @dataclass class RotationParams: rotation: Array def InitPCARotation(): # create marginal functions # TODO a bin initialization function def init_func(inputs): # rotation outputs, params = get_pca_params(inputs) return outputs, params def transform(params, inputs): # rotation return np.dot(inputs, params.rotation) def gradient_transform(params, inputs): # rotation is zero... logabsdet = np.zeros_like(inputs) return inputs, logabsdet def inverse_transform(params, inputs): return np.dot(inputs, params.rotation.T) return init_func, transform, gradient_transform, inverse_transform def get_pca_params(inputs: Array) -> Array: # rotation rotation = compute_projection(inputs) outputs = np.dot(inputs, rotation) return outputs, RotationParams(rotation=rotation) def compute_projection(X: np.ndarray) -> np.ndarray: """Compute PCA projection matrix Using SVD, this computes the PCA components for a dataset X and computes the projection matrix needed to do the PCA decomposition. Parameters ---------- X : np.ndarray, (n_samples, n_features) the data to calculate to PCA projection matrix Returns ------- VT : np.ndarray, (n_features, n_features) the projection matrix (V.T) for the PCA decomposition Notes ----- Can find the original implementation here: https://bit.ly/2EBDV9o """ # center the data X = X - np.mean(X, axis=0) # Compute SVD _, _, VT = np.linalg.svd(X, full_matrices=False, compute_uv=True) return VT.T def rot_forward_transform(X, params): return np.dot(X, params.rotation) def rot_inverse_transform(X, params): return np.dot(X, params.rotation.T) def rot_gradient_transform(X, params): return np.ones_like(X)
21.585106
70
0.674717
255
2,029
5.258824
0.364706
0.0522
0.032811
0.049217
0.126771
0.108874
0.06264
0.06264
0.06264
0
0
0.001923
0.231148
2,029
93
71
21.817204
0.857692
0.299162
0
0
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0.010448
0
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0.010753
0
1
0.30303
false
0
0.090909
0.151515
0.757576
0
0
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0
null
0
0
0
0
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0
0
0
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0
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0
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null
0
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1
0
0
1
0
0
0
1
1
0
0
4
2ea0238b14782cb3e094011ef1c051b77ec10584
254
py
Python
QUANTAXIS/QAPubSub/declaters.py
B34nK0/QUANTAXIS
94162f0f863682e443ef8ae11f5b54da6f93421b
[ "MIT" ]
6,322
2017-03-22T09:34:20.000Z
2022-03-31T05:26:45.000Z
QUANTAXIS/QAPubSub/declaters.py
B34nK0/QUANTAXIS
94162f0f863682e443ef8ae11f5b54da6f93421b
[ "MIT" ]
690
2018-01-02T06:44:54.000Z
2022-03-25T02:06:22.000Z
QUANTAXIS/QAPubSub/declaters.py
B34nK0/QUANTAXIS
94162f0f863682e443ef8ae11f5b54da6f93421b
[ "MIT" ]
2,183
2018-01-02T10:32:10.000Z
2022-03-30T00:57:31.000Z
#app = faust.App('myapp', broker='kafka://localhost') class QUANTAXIS_PUBSUBER(): def __init__(self, name, broker='rabbitmq://localhost'): self.exchange = name #@app.agent(value_type=Order) def agent(value_type=order): pass
25.4
60
0.65748
31
254
5.16129
0.645161
0.125
0.175
0.2375
0
0
0
0
0
0
0
0
0.185039
254
10
61
25.4
0.772947
0.314961
0
0
0
0
0.115607
0
0
0
0
0
0
1
0.4
false
0.2
0
0
0.6
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
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0
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0
null
0
0
0
0
0
1
0
1
0
0
1
0
0
4
2ea2829ec0b4ab38dc154e67194b2a306fc916d8
74
py
Python
TestModule/__init__.py
Oreder/PythonSelfStudy
64c774ef469dcede6f653ab8eafd3edc83452876
[ "MIT" ]
1
2017-07-28T03:42:29.000Z
2017-07-28T03:42:29.000Z
TestModule/__init__.py
Oreder/PythonSelfStudy
64c774ef469dcede6f653ab8eafd3edc83452876
[ "MIT" ]
null
null
null
TestModule/__init__.py
Oreder/PythonSelfStudy
64c774ef469dcede6f653ab8eafd3edc83452876
[ "MIT" ]
null
null
null
from Tsum import Tsum from Tproduct import Tproduct from Tmin import Tmin
18.5
29
0.837838
12
74
5.166667
0.416667
0
0
0
0
0
0
0
0
0
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0
0.162162
74
3
30
24.666667
1
0
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true
0
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0
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null
0
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null
0
0
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0
0
0
1
0
1
0
0
0
0
4
2ecbcd758794560413da872c7ab57b328502922f
1,090
py
Python
utils/exceptions/hots_exceptions.py
fennr/Samuro-HotsBot
81e7a65a08d50602442094e52d6d2e405c98ac1a
[ "Apache-2.0" ]
1
2022-03-26T11:28:00.000Z
2022-03-26T11:28:00.000Z
utils/exceptions/hots_exceptions.py
fennr/Samuro-HotsBot
81e7a65a08d50602442094e52d6d2e405c98ac1a
[ "Apache-2.0" ]
null
null
null
utils/exceptions/hots_exceptions.py
fennr/Samuro-HotsBot
81e7a65a08d50602442094e52d6d2e405c98ac1a
[ "Apache-2.0" ]
null
null
null
from utils.library import files config = files.get_yaml("config.yaml") class HotsException(Exception): """Базовый класс для других исключений""" def __init__(self, *args): if args: self.message = args[0] else: self.message = None def __str__(self): if self.message: return f'Custom Error, {self.message}' else: return 'Custom Error' class CommandError(HotsException): pass class HeroNotFoundError(CommandError): def __str__(self): if self.message: return f'Не найден герой:, {self.message}' else: return 'Не найден герой' class WrongTalentLvl(CommandError): def __str__(self): return "Выбран невозможный уровень таланта" class LeagueNotFound(CommandError): def __str__(self): return "Не найдены игры в шторм лиге" class WrongLeague(CommandError): def __str__(self): return "Введена некорректная лига" class NoActiveEvents(CommandError): def __str__(self): return "Нет активных матчей"
20.961538
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0.637615
118
1,090
5.644068
0.466102
0.099099
0.09009
0.165165
0.258258
0.09009
0.09009
0.09009
0
0
0
0.001263
0.273395
1,090
51
55
21.372549
0.839646
0.03211
0
0.333333
0
0
0.194471
0
0
0
0
0
0
1
0.212121
false
0.030303
0.030303
0.121212
0.69697
0
0
0
0
null
0
0
1
0
0
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0
0
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null
0
0
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0
0
1
0
0
0
1
1
0
0
4
2ecfcab69dfdfc819a75810740ff4f8a3aac169c
279
py
Python
Python/Py4e/ForLoops/test7.py
Cryptoniac/Challenge
fcb2f685c21bd84c1ef0924e5f0026bd2961c772
[ "MIT" ]
null
null
null
Python/Py4e/ForLoops/test7.py
Cryptoniac/Challenge
fcb2f685c21bd84c1ef0924e5f0026bd2961c772
[ "MIT" ]
null
null
null
Python/Py4e/ForLoops/test7.py
Cryptoniac/Challenge
fcb2f685c21bd84c1ef0924e5f0026bd2961c772
[ "MIT" ]
null
null
null
# How to Find the Smallest value largest_so_far = -1 print('Before', largest_so_far) for the_num in [1, 99, 24, 25, 56, 4, 57, 89, 5, 94, 21] : if the_num > largest_so_far : largest_so_far = the_num print(largest_so_far, the_num) print('After', largest_so_far)
25.363636
58
0.681004
52
279
3.346154
0.519231
0.310345
0.413793
0.172414
0.264368
0.264368
0
0
0
0
0
0.09009
0.204301
279
10
59
27.9
0.693694
0.107527
0
0
0
0
0.044534
0
0
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0
0
1
0
false
0
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0
0.428571
0
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null
1
1
1
0
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0
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null
0
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0
0
0
0
0
0
0
1
0
4
2ee33cda70fdc114d328316e62c2f4c265e76a48
269
py
Python
SimPEG/EM/Static/SIP/__init__.py
rolandhill/simpeg
92d220e55d3d280b44e4cbcbddc42d57a974ca94
[ "MIT" ]
3
2020-11-27T03:18:28.000Z
2022-03-18T01:29:58.000Z
SimPEG/EM/Static/SIP/__init__.py
visiope/simpeg
94295102afc664c001f77c88f902772e06a467c0
[ "MIT" ]
null
null
null
SimPEG/EM/Static/SIP/__init__.py
visiope/simpeg
94295102afc664c001f77c88f902772e06a467c0
[ "MIT" ]
1
2021-03-21T09:54:33.000Z
2021-03-21T09:54:33.000Z
from .ProblemSIP import Problem3D_CC, Problem3D_N from .ProblemSIP_2D import Problem2D_CC, Problem2D_N from .SurveySIP import Survey, Data, from_dc_to_sip_survey from . import SrcSIP as Src from . import RxSIP as Rx from .Run import run_inversion, spectral_ip_mappings
38.428571
58
0.836431
43
269
4.953488
0.55814
0.131455
0
0
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0.021186
0.122677
269
6
59
44.833333
0.881356
0
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true
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0
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0
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1
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1
0
1
0
0
4
2eebf9d0b2af41b49e718e4c649b529b01b0197d
86
py
Python
gen_doc/serializers/__init__.py
Shchusia/gen_doc
216b561fc973c5565a78348c5b0b3db58f84442f
[ "Unlicense" ]
null
null
null
gen_doc/serializers/__init__.py
Shchusia/gen_doc
216b561fc973c5565a78348c5b0b3db58f84442f
[ "Unlicense" ]
null
null
null
gen_doc/serializers/__init__.py
Shchusia/gen_doc
216b561fc973c5565a78348c5b0b3db58f84442f
[ "Unlicense" ]
null
null
null
""" import serializers """ from .python_doc_serializer import PythonDocSerializer
17.2
55
0.77907
8
86
8.125
0.875
0
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4
2ef5882420676c5bd5f9b951f60d381d3d815bcb
238
py
Python
handlers/routes.py
alanwilter/flask-pytest-example
d9aa421aa4dd57633ec1f969db3d501a19b4725b
[ "MIT" ]
null
null
null
handlers/routes.py
alanwilter/flask-pytest-example
d9aa421aa4dd57633ec1f969db3d501a19b4725b
[ "MIT" ]
null
null
null
handlers/routes.py
alanwilter/flask-pytest-example
d9aa421aa4dd57633ec1f969db3d501a19b4725b
[ "MIT" ]
null
null
null
from flask import jsonify from pytest_cov.embed import cleanup_on_sigterm cleanup_on_sigterm() def configure_routes(app): @app.route("/") def hello_world(): return jsonify( message="Hello World", )
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4
2c1653bf315258bfcf256ea59e352aee8e027b90
153
py
Python
Module/module_1479092252_68.py
quanyang/Taint-em-All
2ee5d26fec2cd11c10e8a3826a6e2bc94ec57c14
[ "Apache-2.0" ]
7
2019-06-11T10:40:09.000Z
2022-02-18T09:23:03.000Z
Module/module_1479092252_68.py
quanyang/Taint-em-All
2ee5d26fec2cd11c10e8a3826a6e2bc94ec57c14
[ "Apache-2.0" ]
1
2020-03-10T02:56:41.000Z
2021-10-01T20:45:56.000Z
Module/module_1479092252_68.py
quanyang/Taint-em-All
2ee5d26fec2cd11c10e8a3826a6e2bc94ec57c14
[ "Apache-2.0" ]
4
2019-06-03T16:50:49.000Z
2020-07-24T11:37:06.000Z
from Visitor.Visitor import Visitor from Model.Node import * name = "Module Name" prereq = None class ModuleName(Visitor): def __init__(self): pass
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1
0
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4
2c2365714cdd12cc597645773769a037a567e0c1
958
py
Python
procurebd_api/serializers.py
FarishtaJayas/HackNSU-2.0
c49fe1d57cc512266e1208eb8ad6d62ddbac8743
[ "MIT" ]
null
null
null
procurebd_api/serializers.py
FarishtaJayas/HackNSU-2.0
c49fe1d57cc512266e1208eb8ad6d62ddbac8743
[ "MIT" ]
null
null
null
procurebd_api/serializers.py
FarishtaJayas/HackNSU-2.0
c49fe1d57cc512266e1208eb8ad6d62ddbac8743
[ "MIT" ]
1
2020-10-04T06:35:37.000Z
2020-10-04T06:35:37.000Z
from rest_framework import serializers from procurebd_api.models import * class UserSerializer(serializers.ModelSerializer): class Meta: model = ProfileUser #fields = ('name', 'ranking') fields = '__all__' class ItemSerializer(serializers.ModelSerializer): class Meta: model = Item fields ='__all__' class VendorSerializer(serializers.ModelSerializer): class Meta: model = Vendor fields ='__all__' class OrderSerializer(serializers.ModelSerializer): class Meta: model = Order fields ='__all__' class ReportSerializer(serializers.ModelSerializer): class Meta: model = Order fields ='__all__' class TransactionSerializer(serializers.ModelSerializer): class Meta: model = Transaction fields ='__all__'
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0.218115
0.218115
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0
0
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1
0
0
4
2c2c29894434e90b95537fe9210617ea432687f4
231
py
Python
delta_migrations/__init__.py
magrathj/delta-migrations
34021d25182bc04b1fa879dd07012e222e53d418
[ "CC0-1.0" ]
1
2021-12-07T18:31:25.000Z
2021-12-07T18:31:25.000Z
delta_migrations/__init__.py
magrathj/delta-migrations
34021d25182bc04b1fa879dd07012e222e53d418
[ "CC0-1.0" ]
null
null
null
delta_migrations/__init__.py
magrathj/delta-migrations
34021d25182bc04b1fa879dd07012e222e53d418
[ "CC0-1.0" ]
null
null
null
import click from . import app from .runner import DeltaMigrationRunner from .helper import DeltaMigrationHelper @click.group() def cli(): pass cli.add_command(app.create_migration_dir) if __name__ == "__main__": cli()
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4
2596b9db7d13eef7ac97d5bf1635ada140b1a48f
83,747
py
Python
tests/test_plotting.py
tillbiskup/aspecd
5c7d7ceb9ec3eb97d01348c0495adc999c7af78a
[ "BSD-2-Clause" ]
2
2021-03-16T05:26:12.000Z
2021-11-27T18:08:22.000Z
tests/test_plotting.py
tillbiskup/aspecd
5c7d7ceb9ec3eb97d01348c0495adc999c7af78a
[ "BSD-2-Clause" ]
null
null
null
tests/test_plotting.py
tillbiskup/aspecd
5c7d7ceb9ec3eb97d01348c0495adc999c7af78a
[ "BSD-2-Clause" ]
null
null
null
"""Tests for plotting.""" import contextlib import io import warnings import matplotlib.axes import matplotlib.collections import matplotlib.figure import matplotlib.legend import matplotlib.lines import matplotlib.pyplot as plt import numpy as np import os import unittest import aspecd.exceptions from aspecd import plotting, utils, dataset class TestPlotter(unittest.TestCase): def setUp(self): self.plotter = plotting.Plotter() self.filename = 'Testfile.png' def tearDown(self): if os.path.isfile(self.filename): os.remove(self.filename) if self.plotter.fig: plt.close(self.plotter.fig) def test_instantiate_class(self): pass def test_has_plot_method(self): self.assertTrue(hasattr(self.plotter, 'plot')) self.assertTrue(callable(self.plotter.plot)) def test_name_property_equals_full_class_name(self): full_class_name = utils.full_class_name(self.plotter) self.assertEqual(self.plotter.name, full_class_name) def test_has_parameters_property(self): self.assertTrue(hasattr(self.plotter, 'parameters')) def test_parameters_property_is_dict(self): self.assertTrue(isinstance(self.plotter.parameters, dict)) def test_has_properties_property(self): self.assertTrue(hasattr(self.plotter, 'properties')) def test_has_description_property(self): self.assertTrue(hasattr(self.plotter, 'description')) def test_description_property_is_string(self): self.assertTrue(isinstance(self.plotter.description, str)) def test_has_figure_property(self): self.assertTrue(hasattr(self.plotter, 'figure')) def test_has_fig_property(self): self.assertTrue(hasattr(self.plotter, 'fig')) def test_fig_property_and_figure_property_are_identical(self): self.assertTrue(self.plotter.figure is self.plotter.fig) def test_has_axes_property(self): self.assertTrue(hasattr(self.plotter, 'axes')) def test_has_ax_property(self): self.assertTrue(hasattr(self.plotter, 'axes')) def test_ax_property_and_axes_property_are_identical(self): self.assertTrue(self.plotter.axes is self.plotter.ax) def test_has_filename_property(self): self.assertTrue(hasattr(self.plotter, 'filename')) def test_has_caption_property(self): self.assertTrue(hasattr(self.plotter, 'caption')) def test_has_style_property(self): self.assertTrue(hasattr(self.plotter, 'style')) def test_has_save_method(self): self.assertTrue(hasattr(self.plotter, 'save')) self.assertTrue(callable(self.plotter.save)) def test_plot_sets_figure_property(self): self.plotter.plot() self.assertTrue(isinstance(self.plotter.figure, matplotlib.figure.Figure)) plt.close(self.plotter.figure) def test_plot_sets_fig_property(self): self.plotter.plot() self.assertTrue(isinstance(self.plotter.fig, matplotlib.figure.Figure)) plt.close(self.plotter.fig) def test_plot_sets_axes_property(self): self.plotter.plot() self.assertTrue(isinstance(self.plotter.axes, matplotlib.axes.Axes)) plt.close(self.plotter.figure) def test_plot_sets_ax_property(self): self.plotter.plot() self.assertTrue(isinstance(self.plotter.ax, matplotlib.axes.Axes)) plt.close(self.plotter.figure) def test_plot_sets_no_new_figure_property_if_existing(self): fig, ax = plt.subplots() self.plotter.figure = fig self.plotter.axes = ax self.plotter.plot() self.assertIs(fig, self.plotter.figure) def test_plot_sets_no_new_axes_property_if_existing(self): fig, ax = plt.subplots() self.plotter.figure = fig self.plotter.axes = ax self.plotter.plot() self.assertIs(ax, self.plotter.axes) def test_save_without_saver_raises(self): with self.assertRaises(aspecd.exceptions.MissingSaverError): self.plotter.save() def test_save_returns_saver(self): saver = plotting.Saver() saver.filename = self.filename self.plotter.plot() returned_saver = self.plotter.save(saver) self.assertTrue(isinstance(returned_saver, plotting.Saver)) def test_save_sets_plot_in_saver(self): saver = plotting.Saver() saver.filename = self.filename self.plotter.plot() returned_saver = self.plotter.save(saver) self.assertEqual(returned_saver.plotter, self.plotter) def test_save_sets_filename(self): saver = plotting.Saver() saver.filename = self.filename self.plotter.plot() self.plotter.save(saver) self.assertEqual(self.filename, self.plotter.filename) def test_plot_applies_properties(self): self.plotter.properties.figure.dpi = 300.0 self.plotter.plot() self.assertEqual(self.plotter.properties.figure.dpi, self.plotter.figure.dpi) def test_plot_with_unknown_style_raises(self): self.plotter.style = 'foo' with self.assertRaises(aspecd.exceptions.StyleNotFoundError): self.plotter.plot() def test_plot_adds_zero_lines(self): self.plotter.parameters['show_zero_lines'] = True self.plotter.plot() self.assertEqual(2, len(self.plotter.ax.get_lines())) def test_plot_without_zero_lines_does_not_add_zero_lines(self): self.plotter.parameters['show_zero_lines'] = False self.plotter.plot() self.assertEqual(0, len(self.plotter.ax.get_lines())) def test_plot_applies_properties_to_zero_lines(self): self.plotter.parameters['show_zero_lines'] = True self.plotter.properties.zero_lines.color = '#999' self.plotter.plot() self.assertEqual(self.plotter.properties.zero_lines.color, self.plotter.ax.get_lines()[0]._color) class TestSinglePlotter(unittest.TestCase): def setUp(self): self.plotter = plotting.SinglePlotter() def tearDown(self): if self.plotter.fig: plt.close(self.plotter.fig) def test_instantiate_class(self): pass def test_has_drawing_property(self): self.assertTrue(hasattr(self.plotter, 'drawing')) def test_plot_without_dataset_raises(self): with self.assertRaises(aspecd.exceptions.MissingDatasetError): self.plotter.plot() def test_plot_with_preset_dataset(self): self.plotter.dataset = dataset.Dataset() self.plotter.plot() def test_plot_from_dataset_sets_dataset(self): test_dataset = dataset.Dataset() plotter = test_dataset.plot(self.plotter) self.assertTrue(isinstance(plotter.dataset, dataset.Dataset)) def test_plot_with_dataset(self): test_dataset = dataset.Dataset() self.plotter.plot(dataset=test_dataset) self.assertGreater(len(test_dataset.representations), 0) def test_plot_with_dataset_sets_axes_labels(self): test_dataset = dataset.Dataset() test_dataset.data.axes[0].quantity = 'foo' test_dataset.data.axes[0].unit = 'bar' test_dataset.data.axes[1].quantity = 'foo' test_dataset.data.axes[1].unit = 'bar' xlabel = '$' + test_dataset.data.axes[0].quantity + '$' + ' / ' + \ test_dataset.data.axes[0].unit ylabel = '$' + test_dataset.data.axes[1].quantity + '$' + ' / ' + \ test_dataset.data.axes[1].unit plotter = test_dataset.plot(self.plotter) self.assertEqual(xlabel, plotter.axes.get_xlabel()) self.assertEqual(ylabel, plotter.axes.get_ylabel()) def test_axes_labels_with_empty_unit_without_slash(self): test_dataset = dataset.Dataset() test_dataset.data.axes[0].quantity = 'foo' test_dataset.data.axes[0].unit = '' test_dataset.data.axes[1].quantity = 'foo' test_dataset.data.axes[1].unit = '' xlabel = '$' + test_dataset.data.axes[0].quantity + '$' ylabel = '$' + test_dataset.data.axes[1].quantity + '$' plotter = test_dataset.plot(self.plotter) self.assertEqual(xlabel, plotter.axes.get_xlabel()) self.assertEqual(ylabel, plotter.axes.get_ylabel()) def test_plot_returns_dataset(self): test_dataset = self.plotter.plot(dataset=dataset.Dataset()) self.assertTrue(isinstance(test_dataset, dataset.Dataset)) def test_plot_checks_applicability(self): class MyPlotter(aspecd.plotting.SinglePlotter): @staticmethod def applicable(dataset): return False dataset = aspecd.dataset.Dataset() plotter = MyPlotter() with self.assertRaises(aspecd.exceptions.NotApplicableToDatasetError): dataset.plot(plotter) def test_plot_check_applicability_prints_helpful_message(self): class MyPlotter(aspecd.plotting.SinglePlotter): @staticmethod def applicable(dataset): return False dataset = aspecd.dataset.Dataset() dataset.id = "foo" plotter = MyPlotter() message = "MyPlotter not applicable to dataset with id foo" with self.assertRaisesRegex( aspecd.exceptions.NotApplicableToDatasetError, message): dataset.plot(plotter) class TestSinglePlotter1D(unittest.TestCase): def setUp(self): self.plotter = plotting.SinglePlotter1D() def tearDown(self): if self.plotter.fig: plt.close(self.plotter.fig) def test_instantiate_class(self): pass def test_has_type_property(self): self.assertTrue(hasattr(self.plotter, 'type')) def test_set_type(self): plot_type = 'scatter' self.plotter.type = plot_type self.assertEqual(self.plotter.type, plot_type) def test_setting_wrong_type_raises(self): with self.assertRaises(TypeError): self.plotter.type = 'foo' def test_plot_sets_drawing(self): self.plotter.plot(dataset=dataset.Dataset()) self.assertTrue(self.plotter.drawing) def test_plot_with_2D_data_raises(self): dataset_ = dataset.Dataset() dataset_.data.data = np.random.rand(3, 2) with self.assertRaises( aspecd.exceptions.NotApplicableToDatasetError): self.plotter.plot(dataset_) def test_set_line_colour_from_dict(self): line_colour = '#cccccc' properties = {'drawing': {'color': line_colour}} self.plotter.properties.from_dict(properties) self.assertEqual(line_colour, self.plotter.properties.drawing.color) def test_plot_sets_correct_line_color(self): color = '#cccccc' dict_ = {'drawing': {'color': color}} self.plotter.properties.from_dict(dict_) self.plotter.plot(dataset=dataset.Dataset()) self.assertEqual(color, self.plotter.drawing.get_color()) def test_plot_sets_axes_xlabel(self): label = 'foo bar' dict_ = {'axes': {'xlabel': label}} self.plotter.properties.from_dict(dict_) self.plotter.plot(dataset=dataset.Dataset()) self.assertEqual(label, self.plotter.axes.get_xlabel()) def test_plot_adds_no_x_zero_line_if_out_of_range(self): self.plotter.parameters['show_zero_lines'] = True dataset_ = aspecd.dataset.CalculatedDataset() dataset_.data.data = np.random.random([10])+5 plotter = dataset_.plot(self.plotter) self.assertEqual([0., 0.], plotter.ax.get_lines()[1].get_xdata()) def test_plot_adds_no_y_zero_line_if_out_of_range(self): self.plotter.parameters['show_zero_lines'] = True dataset_ = aspecd.dataset.CalculatedDataset() dataset_.data.data = np.random.random([10])-0.5 dataset_.data.axes[0].values = np.linspace(4, 5, 10) plotter = dataset_.plot(self.plotter) self.assertEqual([0., 0.], plotter.ax.get_lines()[1].get_ydata()) def test_plot_with_show_legend_sets_legend_label(self): dataset_ = aspecd.dataset.CalculatedDataset() dataset_.data.data = np.random.random([10])-0.5 dataset_.data.axes[0].values = np.linspace(4, 5, 10) dataset_.label = 'foo' self.plotter.parameters['show_legend'] = True plotter = dataset_.plot(self.plotter) self.assertEqual(dataset_.label, plotter.legend.get_texts()[0].get_text()) def test_axes_tight_x_sets_xlim_to_data_limits(self): dataset_ = aspecd.dataset.CalculatedDataset() dataset_.data.data = np.random.random([100]) dataset_.data.axes[0].values = np.linspace(np.pi, 2*np.pi, 100) self.plotter.parameters['tight'] = 'x' plotter = dataset_.plot(self.plotter) self.assertEqual(dataset_.data.axes[0].values[0], plotter.axes.get_xlim()[0]) def test_axes_tight_y_sets_xlim_to_data_limits(self): dataset_ = aspecd.dataset.CalculatedDataset() dataset_.data.data = np.random.random([100]) dataset_.data.axes[0].values = np.linspace(np.pi, 2*np.pi, 100) self.plotter.parameters['tight'] = 'y' plotter = dataset_.plot(self.plotter) self.assertEqual(dataset_.data.data.min(), plotter.axes.get_ylim()[0]) def test_axes_tight_both_sets_xlim_and_ylim_to_data_limits(self): dataset_ = aspecd.dataset.CalculatedDataset() dataset_.data.data = np.random.random([100]) dataset_.data.axes[0].values = np.linspace(np.pi, 2*np.pi, 100) self.plotter.parameters['tight'] = 'both' plotter = dataset_.plot(self.plotter) self.assertEqual(dataset_.data.axes[0].values[0], plotter.axes.get_xlim()[0]) self.assertEqual(dataset_.data.data.min(), plotter.axes.get_ylim()[0]) class TestSinglePlotter2D(unittest.TestCase): def setUp(self): self.plotter = plotting.SinglePlotter2D() def tearDown(self): if self.plotter.fig: plt.close(self.plotter.fig) def test_instantiate_class(self): pass def test_plot_with_1D_dataset_raises(self): dataset_ = aspecd.dataset.CalculatedDataset() dataset_.data.data = np.random.random([5]) with self.assertRaises( aspecd.exceptions.NotApplicableToDatasetError): dataset_.plot(self.plotter) def test_has_type_property(self): self.assertTrue(hasattr(self.plotter, 'type')) def test_set_type(self): plot_type = 'contour' self.plotter.type = plot_type self.assertEqual(self.plotter.type, plot_type) def test_setting_wrong_type_raises(self): with self.assertRaises(TypeError): self.plotter.type = 'foo' def test_plot_sets_drawing(self): dataset_ = dataset.Dataset() dataset_.data.data = np.random.rand(3, 2) self.plotter.plot(dataset=dataset_) self.assertTrue(self.plotter.drawing) def test_plot_with_dataset_sets_axes_labels(self): test_dataset = dataset.Dataset() test_dataset.data.data = np.random.random([5, 5]) test_dataset.data.axes[0].quantity = 'zero' test_dataset.data.axes[0].unit = 'foo' test_dataset.data.axes[1].quantity = 'one' test_dataset.data.axes[1].unit = 'bar' xlabel = '$' + test_dataset.data.axes[0].quantity + '$' + ' / ' + \ test_dataset.data.axes[0].unit ylabel = '$' + test_dataset.data.axes[1].quantity + '$' + ' / ' + \ test_dataset.data.axes[1].unit plotter = test_dataset.plot(self.plotter) self.assertEqual(xlabel, plotter.axes.get_xlabel()) self.assertEqual(ylabel, plotter.axes.get_ylabel()) def test_plot_with_dataset_sets_axes_limits(self): test_dataset = dataset.Dataset() test_dataset.data.data = np.random.random([5, 5]) test_dataset.data.axes[0].quantity = 'zero' test_dataset.data.axes[0].unit = 'foo' test_dataset.data.axes[0].values = np.linspace(5, 10, 5) test_dataset.data.axes[1].quantity = 'one' test_dataset.data.axes[1].unit = 'bar' test_dataset.data.axes[1].values = np.linspace(50, 100, 5) xlimits = tuple(test_dataset.data.axes[0].values[[0, -1]]) ylimits = tuple(test_dataset.data.axes[1].values[[0, -1]]) plotter = test_dataset.plot(self.plotter) self.assertEqual(xlimits, plotter.axes.get_xlim()) self.assertEqual(ylimits, plotter.axes.get_ylim()) def test_plot_contour(self): self.plotter.type = 'contour' test_dataset = dataset.Dataset() test_dataset.data.data = np.random.random([5, 5]) test_dataset.plot(self.plotter) def test_plot_with_switched_axes(self): test_dataset = dataset.Dataset() test_dataset.data.data = np.random.random([5, 5]) test_dataset.data.axes[0].quantity = 'zero' test_dataset.data.axes[0].unit = 'foo' test_dataset.data.axes[0].values = np.linspace(5, 10, 5) test_dataset.data.axes[1].quantity = 'one' test_dataset.data.axes[1].unit = 'bar' test_dataset.data.axes[1].values = np.linspace(50, 100, 5) xlimits = tuple(test_dataset.data.axes[1].values[[0, -1]]) ylimits = tuple(test_dataset.data.axes[0].values[[0, -1]]) self.plotter.parameters['switch_axes'] = True plotter = test_dataset.plot(self.plotter) self.assertEqual(xlimits, plotter.axes.get_xlim()) self.assertEqual(ylimits, plotter.axes.get_ylim()) def test_plot_contour_with_levels(self): self.plotter.type = 'contour' self.plotter.parameters['levels'] = 40 test_dataset = dataset.Dataset() test_dataset.data.data = np.random.random([5, 5]) plotter = test_dataset.plot(self.plotter) self.assertGreaterEqual(len(plotter.drawing.levels), self.plotter.parameters['levels'] - 5) def test_set_cmap_from_dict(self): cmap = 'RdGy' properties = {'drawing': {'cmap': cmap}} self.plotter.properties.from_dict(properties) self.assertEqual(cmap, self.plotter.properties.drawing.cmap) def test_plot_sets_correct_cmap(self): cmap = 'RdGy' dict_ = {'drawing': {'cmap': cmap}} self.plotter.properties.from_dict(dict_) test_dataset = dataset.Dataset() test_dataset.data.data = np.random.random([5, 5]) self.plotter.plot(dataset=test_dataset) self.assertEqual(cmap, self.plotter.drawing.cmap.name) def test_plot_imshow_with_levels_ignores_levels(self): self.plotter.parameters['levels'] = 40 test_dataset = dataset.Dataset() test_dataset.data.data = np.random.random([5, 5]) test_dataset.plot(self.plotter) def test_plot_imshow_sets_aspect_to_auto(self): test_dataset = dataset.Dataset() test_dataset.data.data = np.random.random([5, 5]) test_dataset.plot(self.plotter) self.assertEqual('auto', self.plotter.ax._aspect) def test_show_contour_lines_plots_contour_lines_in_contourf(self): self.plotter.type = 'contourf' self.plotter.parameters['show_contour_lines'] = True test_dataset = dataset.Dataset() test_dataset.data.data = np.random.random([5, 5]) plotter = test_dataset.plot(self.plotter) line_collection = [isinstance(x, matplotlib.collections.LineCollection) for x in plotter.ax.get_children()] self.assertTrue(any(line_collection)) def test_contour_plot_sets_correct_linewidths(self): self.plotter.type = 'contour' dict_ = {'drawing': {'linewidths': 2}} self.plotter.properties.from_dict(dict_) test_dataset = dataset.Dataset() test_dataset.data.data = np.random.random([5, 5]) plotter = test_dataset.plot(self.plotter) line_collection = [ x for x in plotter.ax.get_children() if isinstance(x, matplotlib.collections.LineCollection) ] self.assertEqual(dict_['drawing']['linewidths'], line_collection[0].get_linewidths()[0]) def test_contour_plot_sets_correct_linestyles(self): self.plotter.type = 'contour' dict_ = {'drawing': {'linestyles': ':', 'linewidths': 1}} self.plotter.properties.from_dict(dict_) test_dataset = dataset.Dataset() test_dataset.data.data = np.random.random([5, 5]) plotter = test_dataset.plot(self.plotter) line_collection = [ x for x in plotter.ax.get_children() if isinstance(x, matplotlib.collections.LineCollection) ] # linestyle ':' => (0.0, [1.0, 1.65]) for linewidth = 1 self.assertEqual((0.0, [1.0, 1.65]), line_collection[0].get_linestyles()[0]) def test_contour_plot_sets_correct_colors(self): self.plotter.type = 'contour' dict_ = {'drawing': {'colors': 'k'}} self.plotter.properties.from_dict(dict_) test_dataset = dataset.Dataset() test_dataset.data.data = np.random.random([5, 5]) plotter = test_dataset.plot(self.plotter) line_collection = [ x for x in plotter.ax.get_children() if isinstance(x, matplotlib.collections.LineCollection) ] self.assertListEqual([0., 0., 0., 1.], list(line_collection[0].get_colors()[0])) def test_contourf_plot_with_contour_lines_sets_correct_linewidths(self): self.plotter.type = 'contourf' self.plotter.parameters['show_contour_lines'] = True dict_ = {'drawing': {'linewidths': 2}} self.plotter.properties.from_dict(dict_) test_dataset = dataset.Dataset() test_dataset.data.data = np.random.random([5, 5]) plotter = test_dataset.plot(self.plotter) line_collection = [ x for x in plotter.ax.get_children() if isinstance(x, matplotlib.collections.LineCollection) ] self.assertEqual(dict_['drawing']['linewidths'], line_collection[0].get_linewidths()[0]) def test_contourf_plot_with_contour_lines_sets_correct_linestyles(self): self.plotter.type = 'contourf' self.plotter.parameters['show_contour_lines'] = True dict_ = {'drawing': {'linestyles': ':', 'linewidths': 1}} self.plotter.properties.from_dict(dict_) test_dataset = dataset.Dataset() test_dataset.data.data = np.random.random([5, 5]) plotter = test_dataset.plot(self.plotter) line_collection = [ x for x in plotter.ax.get_children() if isinstance(x, matplotlib.collections.LineCollection) ] # linestyle ':' => (0.0, [1.0, 1.65]) for linewidth = 1 self.assertEqual((0.0, [1.0, 1.65]), line_collection[0].get_linestyles()[0]) def test_contourf_plot_with_contour_lines_sets_correct_colors(self): self.plotter.type = 'contourf' self.plotter.parameters['show_contour_lines'] = True dict_ = {'drawing': {'colors': 'k'}} self.plotter.properties.from_dict(dict_) test_dataset = dataset.Dataset() test_dataset.data.data = np.random.random([5, 5]) plotter = test_dataset.plot(self.plotter) line_collection = [ x for x in plotter.ax.get_children() if isinstance(x, matplotlib.collections.LineCollection) ] self.assertListEqual([0., 0., 0., 1.], list(line_collection[0].get_colors()[0])) class TestSinglePlotter2DStacked(unittest.TestCase): def setUp(self): self.plotter = plotting.SinglePlotter2DStacked() self.filename = 'foo.pdf' def tearDown(self): if self.plotter.fig: plt.close(self.plotter.fig) if os.path.exists(self.filename): os.remove(self.filename) def test_instantiate_class(self): pass def test_class_has_sensible_description(self): self.assertIn('stack', self.plotter.description) def test_plot_with_1D_dataset_raises(self): dataset_ = aspecd.dataset.CalculatedDataset() dataset_.data.data = np.random.random([5]) with self.assertRaises( aspecd.exceptions.NotApplicableToDatasetError): dataset_.plot(self.plotter) def test_parameters_have_stacking_dimension_key(self): self.assertIn('stacking_dimension', self.plotter.parameters) def test_plot_consists_of_correct_number_of_lines(self): dataset_ = aspecd.dataset.CalculatedDataset() dataset_.data.data = np.random.random([5, 10]) - 0.5 plotter = dataset_.plot(self.plotter) self.assertGreaterEqual(10, len(plotter.axes.get_lines())) def test_plot_along_zero_dim_consists_of_correct_number_of_lines(self): self.plotter.parameters['stacking_dimension'] = 0 dataset_ = aspecd.dataset.CalculatedDataset() dataset_.data.data = np.random.random([5, 10]) - 0.5 plotter = dataset_.plot(self.plotter) self.assertGreaterEqual(5, len(plotter.axes.get_lines())) def test_plot_stacks_plots(self): dataset_ = aspecd.dataset.CalculatedDataset() dataset_.data.data = np.random.random([5, 10]) - 0.5 plotter = dataset_.plot(self.plotter) self.assertGreater(max(plotter.axes.get_lines()[5].get_ydata()), max(plotter.axes.get_lines()[0].get_ydata())*3) def test_plot_with_zero_offset_preserves_offset(self): self.plotter.parameters['offset'] = 0 dataset_ = aspecd.dataset.CalculatedDataset() dataset_.data.data = np.random.random([5, 10]) - 0.5 plotter = dataset_.plot(self.plotter) self.assertEqual(0, plotter.parameters['offset']) def test_plot_along_zero_dim_stacks_plots(self): self.plotter.parameters['stacking_dimension'] = 0 dataset_ = aspecd.dataset.CalculatedDataset() dataset_.data.data = np.random.random([5, 10]) - 0.5 plotter = dataset_.plot(self.plotter) self.assertGreater(max(plotter.axes.get_lines()[4].get_ydata()), max(plotter.axes.get_lines()[0].get_ydata())*3) def test_plot_along_zero_dim_sets_correct_axes_labels(self): self.plotter.parameters['stacking_dimension'] = 0 test_dataset = aspecd.dataset.CalculatedDataset() test_dataset.data.data = np.random.random([5, 10]) - 0.5 test_dataset.data.axes[0].quantity = 'zero' test_dataset.data.axes[0].unit = 'foo' test_dataset.data.axes[1].quantity = 'one' test_dataset.data.axes[1].unit = 'bar' plotter = test_dataset.plot(self.plotter) self.assertIn(test_dataset.data.axes[1].unit, plotter.axes.get_xlabel()) def test_plot_sets_correct_axes_limits(self): test_dataset = aspecd.dataset.CalculatedDataset() test_dataset.data.data = np.random.random([5, 10]) - 0.5 test_dataset.data.axes[0].quantity = 'zero' test_dataset.data.axes[0].unit = 'foo' test_dataset.data.axes[0].values = np.linspace(5, 10, 5) test_dataset.data.axes[1].quantity = 'one' test_dataset.data.axes[1].unit = 'bar' test_dataset.data.axes[1].values = np.linspace(50, 100, 10) plotter = test_dataset.plot(self.plotter) xlimits = tuple(test_dataset.data.axes[0].values[[0, -1]]) self.assertLessEqual(plotter.axes.get_xlim()[0], xlimits[0]) self.assertGreaterEqual(plotter.axes.get_xlim()[1], xlimits[1]) def test_plot_along_zero_dim_sets_correct_axes_limits(self): self.plotter.parameters['stacking_dimension'] = 0 test_dataset = aspecd.dataset.CalculatedDataset() test_dataset.data.data = np.random.random([5, 10]) - 0.5 test_dataset.data.axes[0].quantity = 'zero' test_dataset.data.axes[0].unit = 'foo' test_dataset.data.axes[0].values = np.linspace(5, 10, 5) test_dataset.data.axes[1].quantity = 'one' test_dataset.data.axes[1].unit = 'bar' test_dataset.data.axes[1].values = np.linspace(50, 100, 10) plotter = test_dataset.plot(self.plotter) xlimits = tuple(test_dataset.data.axes[1].values[[0, -1]]) self.assertLessEqual(plotter.axes.get_xlim()[0], xlimits[0]) self.assertGreaterEqual(plotter.axes.get_xlim()[1], xlimits[1]) def test_plot_with_offset_stacks_plots_accordingly(self): self.plotter.parameters['offset'] = 2 dataset_ = aspecd.dataset.CalculatedDataset() dataset_.data.data = np.random.random([5, 10]) - 0.5 plotter = dataset_.plot(self.plotter) self.assertGreater(max(plotter.axes.get_lines()[5].get_ydata()), max(plotter.axes.get_lines()[0].get_ydata())*10) def test_plot_sets_drawings(self): dataset_ = aspecd.dataset.CalculatedDataset() dataset_.data.data = np.random.random([5, 10]) - 0.5 dataset_.plot(self.plotter) self.assertEqual(10, len(self.plotter.drawing)) def test_plot_applies_drawing_properties_to_all_drawings(self): self.plotter.properties.drawing.color = '#aaccee' dataset_ = aspecd.dataset.CalculatedDataset() dataset_.data.data = np.random.random([5, 10]) - 0.5 plotter = dataset_.plot(self.plotter) self.assertEqual(self.plotter.properties.drawing.color, plotter.axes.get_lines()[0]._color) self.assertEqual(self.plotter.properties.drawing.color, plotter.axes.get_lines()[4]._color) def test_set_color_from_dict(self): color = '#aaccee' properties = {'drawing': {'color': color}} self.plotter.properties.from_dict(properties) self.assertEqual(color, self.plotter.properties.drawing.color) def test_save_plot_with_set_color_does_not_raise(self): self.plotter.properties.drawing.color = '#aaccee' dataset_ = aspecd.dataset.CalculatedDataset() dataset_.data.data = np.random.random([5, 10]) - 0.5 plotter = dataset_.plot(self.plotter) saver_ = aspecd.plotting.Saver() saver_.filename = self.filename plotter.save(saver_) self.assertTrue(os.path.exists(self.filename)) def test_plot_sets_correct_yticks(self): test_dataset = aspecd.dataset.CalculatedDataset() test_dataset.data.data = np.random.random([5, 10]) - 0.5 test_dataset.data.axes[1].quantity = 'one' test_dataset.data.axes[1].unit = 'bar' test_dataset.data.axes[1].values = np.linspace(50, 100, 10) plotter = test_dataset.plot(self.plotter) self.assertEqual(10, len(plotter.axes.get_yticks())) def test_plot_along_zero_dim_sets_correct_yticks(self): self.plotter.parameters['stacking_dimension'] = 0 test_dataset = aspecd.dataset.CalculatedDataset() test_dataset.data.data = np.random.random([5, 10]) - 0.5 test_dataset.data.axes[0].quantity = 'zero' test_dataset.data.axes[0].unit = 'foo' test_dataset.data.axes[0].values = np.linspace(5, 10, 5) plotter = test_dataset.plot(self.plotter) self.assertEqual(5, len(plotter.axes.get_yticks())) def test_plot_sets_correct_yticklabels(self): test_dataset = aspecd.dataset.CalculatedDataset() test_dataset.data.data = np.random.random([5, 10]) - 0.5 test_dataset.data.axes[1].quantity = 'one' test_dataset.data.axes[1].unit = 'bar' test_dataset.data.axes[1].values = np.linspace(50, 100, 10) plotter = test_dataset.plot(self.plotter) self.assertEqual(test_dataset.data.axes[1].values[0].astype(str), plotter.axes.get_yticklabels()[0].get_text()) def test_plot_along_zero_dim_sets_correct_yticklabels(self): self.plotter.parameters['stacking_dimension'] = 0 test_dataset = aspecd.dataset.CalculatedDataset() test_dataset.data.data = np.random.random([5, 10]) - 0.5 test_dataset.data.axes[0].quantity = 'zero' test_dataset.data.axes[0].unit = 'foo' test_dataset.data.axes[0].values = np.linspace(5, 10, 5) plotter = test_dataset.plot(self.plotter) self.assertEqual(test_dataset.data.axes[0].values[0].astype(str), plotter.axes.get_yticklabels()[0].get_text()) def test_plot_with_ytick_format_sets_correct_yticklabels(self): test_dataset = aspecd.dataset.CalculatedDataset() test_dataset.data.data = np.random.random([5, 10]) - 0.5 test_dataset.data.axes[1].quantity = 'one' test_dataset.data.axes[1].unit = 'bar' test_dataset.data.axes[1].values = np.linspace(50, 100, 10) self.plotter.parameters["yticklabelformat"] = '%.2f' plotter = test_dataset.plot(self.plotter) self.assertEqual('%.2f' % test_dataset.data.axes[1].values[2], plotter.axes.get_yticklabels()[2].get_text()) def test_plot_zero_lines_for_each_trace(self): dataset_ = aspecd.dataset.CalculatedDataset() dataset_.data.data = np.random.random([5, 10]) - 0.5 self.plotter.parameters['show_zero_lines'] = True plotter = dataset_.plot(self.plotter) self.assertGreaterEqual(20, len(plotter.axes.get_lines())) class TestMultiPlotter(unittest.TestCase): def setUp(self): self.plotter = plotting.MultiPlotter() def tearDown(self): if self.plotter.fig: plt.close(self.plotter.fig) def test_instantiate_class(self): pass def test_has_datasets_property(self): self.assertTrue(hasattr(self.plotter, 'datasets')) def test_datasets_property_is_list(self): self.assertTrue(isinstance(self.plotter.datasets, list)) def test_plot_without_datasets_raises(self): with self.assertRaises(aspecd.exceptions.MissingDatasetError): self.plotter.plot() def test_plot_with_datasets(self): self.plotter.datasets.append(dataset.Dataset()) self.plotter.plot() def test_parameters_have_axes_key(self): self.assertIn('axes', self.plotter.parameters) def test_parameters_axes_is_list_of_axes_objects(self): self.assertTrue(isinstance(self.plotter.parameters['axes'], list)) self.assertTrue(self.plotter.parameters['axes']) for axis in self.plotter.parameters['axes']: self.assertTrue(isinstance(axis, dataset.Axis)) def test_plot_with_axes_in_parameters_sets_axes_labels(self): self.plotter.parameters['axes'][0].quantity = 'foo' self.plotter.parameters['axes'][0].unit = 'bar' self.plotter.parameters['axes'][1].quantity = 'foo2' self.plotter.parameters['axes'][1].unit = 'bar2' xlabel = '$' + self.plotter.parameters['axes'][0].quantity + \ '$' + ' / ' + self.plotter.parameters['axes'][0].unit ylabel = '$' + self.plotter.parameters['axes'][1].quantity + \ '$' + ' / ' + self.plotter.parameters['axes'][1].unit self.plotter.datasets.append(dataset.Dataset()) self.plotter.plot() self.assertEqual(xlabel, self.plotter.axes.get_xlabel()) self.assertEqual(ylabel, self.plotter.axes.get_ylabel()) def test_plot_with_datasets_with_identical_axes_sets_axes_labels(self): test_dataset0 = dataset.Dataset() test_dataset0.data.axes[0].quantity = 'foo' test_dataset0.data.axes[0].unit = 'bar' test_dataset0.data.axes[1].quantity = 'foo' test_dataset0.data.axes[1].unit = 'bar' test_dataset1 = dataset.Dataset() test_dataset1.data.axes[0].quantity = 'foo' test_dataset1.data.axes[0].unit = 'bar' test_dataset1.data.axes[1].quantity = 'foo' test_dataset1.data.axes[1].unit = 'bar' xlabel = '$' + test_dataset0.data.axes[0].quantity + '$' + ' / ' + \ test_dataset0.data.axes[0].unit ylabel = '$' + test_dataset0.data.axes[1].quantity + '$' + ' / ' + \ test_dataset0.data.axes[1].unit self.plotter.datasets.append(test_dataset0) self.plotter.datasets.append(test_dataset1) self.plotter.plot() self.assertEqual(xlabel, self.plotter.axes.get_xlabel()) self.assertEqual(ylabel, self.plotter.axes.get_ylabel()) def test_plot_with_datasets_adds_drawing_properties(self): self.plotter.datasets.append(dataset.Dataset()) self.plotter.plot() self.assertEqual(len(self.plotter.datasets), len(self.plotter.properties.drawings)) def test_plot_with_show_legend_set_to_true_adds_legend(self): self.plotter.datasets.append(dataset.Dataset()) self.plotter.parameters['show_legend'] = True with contextlib.redirect_stderr(io.StringIO()): self.plotter.plot() self.assertIs(type(self.plotter.legend), matplotlib.legend.Legend) def test_axes_properties_set_axes_labels(self): self.plotter.properties.axes.xlabel = 'foo' self.plotter.properties.axes.ylabel = 'bar' test_dataset = dataset.Dataset() test_dataset.data.axes[0].quantity = 'foo' test_dataset.data.axes[0].unit = 'bar' test_dataset.data.axes[1].quantity = 'foo' test_dataset.data.axes[1].unit = 'bar' self.plotter.datasets.append(test_dataset) self.plotter.plot() self.assertEqual(self.plotter.properties.axes.xlabel, self.plotter.axes.get_xlabel()) self.assertEqual(self.plotter.properties.axes.ylabel, self.plotter.axes.get_ylabel()) def test_plot_checks_applicability(self): class MyPlotter(aspecd.plotting.MultiPlotter): @staticmethod def applicable(dataset): return False dataset1 = aspecd.dataset.Dataset() dataset2 = aspecd.dataset.Dataset() plotter = MyPlotter() plotter.datasets.append(dataset1) plotter.datasets.append(dataset2) with self.assertRaises(aspecd.exceptions.NotApplicableToDatasetError): plotter.plot() def test_plot_checks_applicability_and_prints_helpful_message(self): class MyPlotter(aspecd.plotting.MultiPlotter): @staticmethod def applicable(dataset): return False dataset1 = aspecd.dataset.Dataset() dataset2 = aspecd.dataset.Dataset() plotter = MyPlotter() plotter.datasets.append(dataset1) plotter.datasets.append(dataset2) message = "MyPlotter not applicable to one or more datasets" with self.assertRaisesRegex( aspecd.exceptions.NotApplicableToDatasetError, message): plotter.plot() class TestMultiPlotter1D(unittest.TestCase): def setUp(self): self.plotter = plotting.MultiPlotter1D() def tearDown(self): if self.plotter.fig: plt.close(self.plotter.fig) def test_instantiate_class(self): pass def test_description_is_sensible(self): self.assertNotIn('Abstract', self.plotter.description) def test_properties_are_of_correct_type(self): self.assertIs(type(self.plotter.properties), aspecd.plotting.MultiPlot1DProperties) def test_has_type_property(self): self.assertTrue(hasattr(self.plotter, 'type')) def test_set_type(self): plot_type = 'loglog' self.plotter.type = plot_type self.assertEqual(self.plotter.type, plot_type) def test_setting_wrong_type_raises(self): with self.assertRaises(TypeError): self.plotter.type = 'foo' def test_plot_with_2D_data_raises(self): dataset_ = dataset.Dataset() dataset_.data.data = np.random.rand(3, 2) self.plotter.datasets.append(dataset_) with self.assertRaises( aspecd.exceptions.NotApplicableToDatasetError): self.plotter.plot() def test_plot_with_datasets(self): self.plotter.datasets.append(dataset.Dataset()) self.plotter.plot() def test_plot_with_datasets_adds_drawing_to_properties(self): self.plotter.datasets.append(dataset.Dataset()) self.plotter.plot() self.assertEqual(1, len(self.plotter.properties.drawings)) def test_added_drawing_is_correct_type(self): self.plotter.datasets.append(dataset.Dataset()) self.plotter.plot() self.assertIs(type(self.plotter.properties.drawings[0]), aspecd.plotting.LineProperties) def test_plot_sets_correct_line_color(self): color = '#abcdef' dict_ = {'drawings': [{'color': color}]} self.plotter.properties.from_dict(dict_) self.plotter.datasets.append(dataset.Dataset()) self.plotter.plot() self.assertEqual(color, self.plotter.drawings[0].get_color()) def test_plot_with_show_legend_sets_legend_label(self): dataset_ = dataset.Dataset() dataset_.label = 'foo' self.plotter.datasets.append(dataset_) self.plotter.parameters['show_legend'] = True self.plotter.plot() self.assertEqual(dataset_.label, self.plotter.legend.get_texts()[0].get_text()) class TestMultiPlotter1DStacked(unittest.TestCase): def setUp(self): self.plotter = plotting.MultiPlotter1DStacked() dataset_ = aspecd.dataset.CalculatedDataset() dataset_.data.data = np.sin(np.linspace(0, 2*np.pi)) self.plotter.datasets.append(dataset_) self.plotter.datasets.append(dataset_) self.plotter.datasets.append(dataset_) def tearDown(self): if self.plotter.fig: plt.close(self.plotter.fig) def test_instantiate_class(self): pass def test_description_is_sensible(self): self.assertNotIn('Abstract', self.plotter.description) def test_plot_stacks_plots(self): self.plotter.plot() self.assertLess(min(self.plotter.axes.get_lines()[2].get_ydata()), min(self.plotter.axes.get_lines()[0].get_ydata())*2) def test_plot_removes_yticks(self): self.plotter.plot() self.assertEqual(0, len(self.plotter.axes.get_yticklabels())) def test_plot_has_zero_lines_turned_off_by_default(self): self.plotter.plot() self.assertFalse(self.plotter.parameters["show_zero_lines"]) def test_parameters_have_offset_key(self): self.assertIn('offset', self.plotter.parameters) def test_plot_stacks_plots_with_given_offset(self): self.plotter.parameters["offset"] = 10 self.plotter.plot() self.assertLess(min(self.plotter.axes.get_lines()[2].get_ydata()), min(self.plotter.axes.get_lines()[0].get_ydata())*20) def test_plot_zero_lines_for_each_trace(self): self.plotter.parameters['show_zero_lines'] = True self.plotter.plot() self.assertEqual(2*len(self.plotter.datasets), len(self.plotter.axes.get_lines())) def test_plot_zero_lines_for_each_trace_at_correct_position(self): self.plotter.parameters['show_zero_lines'] = True self.plotter.plot() self.assertGreater(0, self.plotter.axes.get_lines()[-1].get_ydata()[0]) class TestCompositePlotter(unittest.TestCase): def setUp(self): self.plotter = plotting.CompositePlotter() self.dataset = aspecd.dataset.CalculatedDataset() self.dataset.data.data = np.sin(np.linspace(0, 2*np.pi, 101)) def tearDown(self): if self.plotter.fig: plt.close(self.plotter.fig) def test_instantiate_class(self): pass def test_description_is_sensible(self): self.assertIn('Composite', self.plotter.description) def test_has_grid_dimensions_property(self): self.assertTrue(hasattr(self.plotter, 'grid_dimensions')) def test_has_subplot_locations_property(self): self.assertTrue(hasattr(self.plotter, 'subplot_locations')) def test_has_axes_positions_property(self): self.assertTrue(hasattr(self.plotter, 'axes_positions')) def test_has_plotter_property(self): self.assertTrue(hasattr(self.plotter, 'plotter')) def test_plot_with_single_subplot_adds_axis_to_axes(self): self.plotter.grid_dimensions = [1, 1] self.plotter.subplot_locations = [[0, 0, 1, 1]] single_plotter = plotting.SinglePlotter1D() single_plotter.dataset = self.dataset self.plotter.plotter.append(single_plotter) self.plotter.plot() self.assertEqual(1, len(self.plotter.axes)) def test_plot_with_multiple_subplots_adds_axes_to_axes(self): self.plotter.grid_dimensions = [2, 2] self.plotter.subplot_locations = [[0, 0, 1, 1], [1, 0, 1, 1], [0, 1, 2, 1]] single_plotter = plotting.SinglePlotter1D() single_plotter.dataset = self.dataset self.plotter.plotter.append(single_plotter) self.plotter.plotter.append(single_plotter) self.plotter.plotter.append(single_plotter) self.plotter.plot() self.assertEqual(len(self.plotter.subplot_locations), len(self.plotter.axes)) def test_plot_with_single_subplot_and_plotter_plots_line(self): self.plotter.grid_dimensions = [1, 1] self.plotter.subplot_locations = [[0, 0, 1, 1]] single_plotter = plotting.SinglePlotter1D() single_plotter.dataset = self.dataset self.plotter.plotter.append(single_plotter) self.plotter.plot() self.assertTrue(self.plotter.axes[0].has_data()) def test_plot_without_plotter_raises(self): self.plotter.grid_dimensions = [1, 1] self.plotter.subplot_locations = [[0, 0, 1, 1]] with self.assertRaises(aspecd.exceptions.MissingPlotterError): self.plotter.plot() def test_plot_with_not_enough_plotters_raises(self): self.plotter.grid_dimensions = [2, 2] self.plotter.subplot_locations = [[0, 0, 1, 1], [1, 0, 1, 1], [0, 1, 2, 1]] single_plotter = plotting.SinglePlotter1D() single_plotter.dataset = self.dataset self.plotter.plotter.append(single_plotter) self.plotter.plotter.append(single_plotter) with self.assertRaises(aspecd.exceptions.MissingPlotterError): self.plotter.plot() def test_plot_sets_axes_position(self): self.plotter.grid_dimensions = [1, 1] self.plotter.subplot_locations = [[0, 0, 1, 1]] self.plotter.axes_positions = [[0.2, 0.2, -0.2, -0.2]] single_plotter = plotting.SinglePlotter1D() single_plotter.dataset = self.dataset self.plotter.plotter.append(single_plotter) self.plotter.plot() offsets = self.plotter.axes_positions[0] axis_position = [0.125 + offsets[0]*0.775, 0.110 + offsets[1]*0.77, offsets[2]*0.775, offsets[3]*0.77] self.assertListEqual(axis_position, list(self.plotter.axes[0].get_position().bounds)) def test_plot_shows_legend(self): self.plotter.grid_dimensions = [1, 1] self.plotter.subplot_locations = [[0, 0, 1, 1]] single_plotter = plotting.SinglePlotter1D() single_plotter.dataset = self.dataset single_plotter.parameters['show_legend'] = True self.plotter.plotter.append(single_plotter) with contextlib.redirect_stderr(io.StringIO()): self.plotter.plot() self.assertTrue(isinstance(self.plotter.axes[0].get_legend(), matplotlib.legend.Legend)) class TestSingleCompositePlotter(unittest.TestCase): def setUp(self): self.plotter = plotting.SingleCompositePlotter() def tearDown(self): if self.plotter.fig: plt.close(self.plotter.fig) def test_instantiate_class(self): pass def test_description_is_sensible(self): self.assertIn('single dataset', self.plotter.description) def test_plot_without_dataset_raises(self): with self.assertRaises(aspecd.exceptions.MissingDatasetError): self.plotter.plot() def test_plot_with_preset_dataset(self): self.plotter.dataset = dataset.Dataset() self.plotter.grid_dimensions = [1, 1] self.plotter.subplot_locations = [[0, 0, 1, 1]] single_plotter = plotting.SinglePlotter1D() self.plotter.plotter.append(single_plotter) self.plotter.plot() def test_plot_from_dataset_sets_dataset(self): self.plotter.grid_dimensions = [1, 1] self.plotter.subplot_locations = [[0, 0, 1, 1]] single_plotter = plotting.SinglePlotter1D() self.plotter.plotter.append(single_plotter) test_dataset = dataset.Dataset() plotter = test_dataset.plot(self.plotter) self.assertTrue(isinstance(plotter.dataset, dataset.Dataset)) def test_plot_with_dataset(self): self.plotter.grid_dimensions = [1, 1] self.plotter.subplot_locations = [[0, 0, 1, 1]] single_plotter = plotting.SinglePlotter1D() self.plotter.plotter.append(single_plotter) test_dataset = dataset.Dataset() self.plotter.plot(dataset=test_dataset) self.assertGreater(len(test_dataset.representations), 0) def test_plot_checks_applicability(self): class MyPlotter(aspecd.plotting.SingleCompositePlotter): @staticmethod def applicable(dataset): return False dataset = aspecd.dataset.Dataset() plotter = MyPlotter() with self.assertRaises(aspecd.exceptions.NotApplicableToDatasetError): dataset.plot(plotter) def test_plot_check_applicability_prints_helpful_message(self): class MyPlotter(aspecd.plotting.SingleCompositePlotter): @staticmethod def applicable(dataset): return False dataset = aspecd.dataset.Dataset() dataset.id = "foo" plotter = MyPlotter() message = "MyPlotter not applicable to dataset with id foo" with self.assertRaisesRegex( aspecd.exceptions.NotApplicableToDatasetError, message): dataset.plot(plotter) class TestSaver(unittest.TestCase): def setUp(self): self.saver = plotting.Saver() self.filename = 'test.pdf' def tearDown(self): if os.path.isfile(self.filename): os.remove(self.filename) if self.saver.plotter and self.saver.plotter.fig: plt.close(self.saver.plotter.fig) def test_instantiate_class(self): pass def test_has_save_method(self): self.assertTrue(hasattr(self.saver, 'save')) self.assertTrue(callable(self.saver.save)) def test_save_without_filename_raises(self): with self.assertRaises(aspecd.exceptions.MissingFilenameError): self.saver.save(plotting.Plotter()) def test_with_filename_set_previously(self): self.saver.plotter = plotting.Plotter() self.saver.plotter.plot() self.saver.filename = self.filename self.saver.save() def test_instantiate_with_filename_sets_filename(self): self.saver = plotting.Saver(self.filename) self.assertEqual(self.saver.filename, self.filename) def test_save_without_plotter_raises(self): self.saver.filename = self.filename with self.assertRaises(aspecd.exceptions.MissingPlotError): self.saver.save() def test_save_with_plotter_sets_plotter(self): plotter = plotting.Plotter() plotter.plot() self.saver.filename = self.filename self.saver.save(plotter) self.assertEqual(self.saver.plotter, plotter) def test_has_parameters_property(self): self.assertTrue(hasattr(self.saver, 'parameters')) def test_parameters_property_is_dict(self): self.assertTrue(isinstance(self.saver.parameters, dict)) def test_save_creates_file(self): plotter = plotting.Plotter() plotter.plot() self.saver.filename = self.filename self.saver.save(plotter) self.assertTrue(os.path.isfile(self.filename)) def test_set_format_parameter_adds_extension(self): plotter = plotting.Plotter() plotter.plot() self.filename = 'test.pdf' self.saver.filename, _ = os.path.splitext(self.filename) self.saver.parameters["format"] = 'pdf' self.saver.save(plotter) self.assertTrue(os.path.isfile(self.filename)) def test_set_format_parameter_corrects_extension(self): plotter = plotting.Plotter() plotter.plot() self.filename = 'test.pdf' basename, _ = os.path.splitext(self.filename) self.saver.parameters["format"] = 'pdf' self.saver.filename = '.'.join([basename, "png"]) self.saver.save(plotter) self.assertTrue(os.path.isfile(self.filename)) def test_set_format_parameter_writes_appropriate_file(self): plotter = plotting.Plotter() plotter.plot() self.filename = 'test.pdf' self.saver.filename, _ = os.path.splitext(self.filename) self.saver.parameters["format"] = 'pdf' self.saver.save(plotter) self.assertTrue(os.path.isfile(self.filename)) def test_save_with_singleplotter1d(self): test_dataset = dataset.Dataset() plotter = plotting.SinglePlotter1D() plotter = test_dataset.plot(plotter) plotter.plot() self.saver.filename = self.filename self.saver.save(plotter) def test_save_with_singleplotter2d(self): test_dataset = dataset.Dataset() test_dataset.data.data = np.random.rand(3, 2) plotter = plotting.SinglePlotter2D() plotter = test_dataset.plot(plotter) plotter.plot() self.saver.filename = self.filename self.saver.save(plotter) def test_save_with_multiplotter(self): plotter = plotting.MultiPlotter() plotter.datasets.append(dataset.Dataset()) plotter.plot() self.saver.filename = self.filename self.saver.save(plotter) class TestCaption(unittest.TestCase): def setUp(self): self.caption = plotting.Caption() def test_instantiate_class(self): pass def test_has_to_dict_method(self): self.assertTrue(hasattr(self.caption, 'to_dict')) self.assertTrue(callable(self.caption.to_dict)) def test_has_from_dict_method(self): self.assertTrue(hasattr(self.caption, 'from_dict')) self.assertTrue(callable(self.caption.from_dict)) def test_has_title_property(self): self.assertTrue(hasattr(self.caption, 'title')) def test_has_text_property(self): self.assertTrue(hasattr(self.caption, 'text')) def test_has_parameters_property(self): self.assertTrue(hasattr(self.caption, 'parameters')) class TestDrawingProperties(unittest.TestCase): def setUp(self): self.drawing_properties = plotting.DrawingProperties() def test_instantiate_class(self): pass def test_has_to_dict_method(self): self.assertTrue(hasattr(self.drawing_properties, 'to_dict')) self.assertTrue(callable(self.drawing_properties.to_dict)) def test_has_from_dict_method(self): self.assertTrue(hasattr(self.drawing_properties, 'from_dict')) self.assertTrue(callable(self.drawing_properties.from_dict)) def test_has_properties(self): for prop in ['label']: self.assertTrue(hasattr(self.drawing_properties, prop)) def test_has_apply_method(self): self.assertTrue(hasattr(self.drawing_properties, 'apply')) self.assertTrue(callable(self.drawing_properties.apply)) def test_apply_without_argument_raises(self): with self.assertRaises(aspecd.exceptions.MissingDrawingError): self.drawing_properties.apply() def test_apply_sets_properties(self): self.drawing_properties.label = 'foo' line = matplotlib.lines.Line2D([0, 1], [0, 0]) self.drawing_properties.apply(drawing=line) self.assertEqual(self.drawing_properties.label, line.get_label()) def test_apply_with_nonexisting_property_issues_log_message(self): self.drawing_properties.foobar = 'foo' line = matplotlib.lines.Line2D([0, 1], [0, 0]) with self.assertLogs(__package__, level='DEBUG') as cm: self.drawing_properties.apply(drawing=line) self.assertIn('"{}" has no setter for attribute "{}", hence not ' 'set'.format(line.__class__, "foobar"), cm.output[0]) class TestLineProperties(unittest.TestCase): def setUp(self): self.line_properties = plotting.LineProperties() def test_instantiate_class(self): pass def test_has_to_dict_method(self): self.assertTrue(hasattr(self.line_properties, 'to_dict')) self.assertTrue(callable(self.line_properties.to_dict)) def test_has_from_dict_method(self): self.assertTrue(hasattr(self.line_properties, 'from_dict')) self.assertTrue(callable(self.line_properties.from_dict)) def test_has_properties(self): for prop in ['color', 'drawstyle', 'label', 'linestyle', 'linewidth', 'marker']: self.assertTrue(hasattr(self.line_properties, prop)) def test_has_apply_method(self): self.assertTrue(hasattr(self.line_properties, 'apply')) self.assertTrue(callable(self.line_properties.apply)) def test_apply_without_argument_raises(self): with self.assertRaises(aspecd.exceptions.MissingDrawingError): self.line_properties.apply() def test_apply_sets_properties(self): self.line_properties.label = 'foo' # noinspection PyUnresolvedReferences line = matplotlib.lines.Line2D([0, 1], [0, 0]) self.line_properties.apply(drawing=line) self.assertEqual(self.line_properties.label, line.get_label()) class TestSurfaceProperties(unittest.TestCase): def setUp(self): self.properties = plotting.SurfaceProperties() def test_instantiate_class(self): pass def test_has_to_dict_method(self): self.assertTrue(hasattr(self.properties, 'to_dict')) self.assertTrue(callable(self.properties.to_dict)) def test_has_from_dict_method(self): self.assertTrue(hasattr(self.properties, 'from_dict')) self.assertTrue(callable(self.properties.from_dict)) def test_has_properties(self): for prop in ['cmap']: self.assertTrue(hasattr(self.properties, prop)) def test_has_apply_method(self): self.assertTrue(hasattr(self.properties, 'apply')) self.assertTrue(callable(self.properties.apply)) def test_apply_without_argument_raises(self): with self.assertRaises(aspecd.exceptions.MissingDrawingError): self.properties.apply() @unittest.skip def test_apply_sets_properties(self): self.properties.cmap = 'RdGy' # noinspection PyUnresolvedReferences contour = matplotlib.lines.Line2D([0, 1], [0, 0]) self.properties.apply(drawing=contour) self.assertEqual(self.properties.cmap, contour.cmap.name) class TestPlotProperties(unittest.TestCase): def setUp(self): self.plot_properties = plotting.PlotProperties() def test_instantiate_class(self): pass def test_has_to_dict_method(self): self.assertTrue(hasattr(self.plot_properties, 'to_dict')) self.assertTrue(callable(self.plot_properties.to_dict)) def test_has_from_dict_method(self): self.assertTrue(hasattr(self.plot_properties, 'from_dict')) self.assertTrue(callable(self.plot_properties.from_dict)) def test_has_figure_property(self): self.assertTrue(hasattr(self.plot_properties, 'figure')) def test_has_apply_method(self): self.assertTrue(hasattr(self.plot_properties, 'apply')) self.assertTrue(callable(self.plot_properties.apply)) def test_apply_without_argument_raises(self): with self.assertRaises(aspecd.exceptions.MissingPlotterError): self.plot_properties.apply() def test_apply_sets_properties(self): self.plot_properties.figure.dpi = 300.0 plot = plotting.Plotter() plot.plot() self.plot_properties.apply(plotter=plot) self.assertEqual(self.plot_properties.figure.dpi, plot.figure.get_dpi()) plt.close(plot.figure) class TestFigureProperties(unittest.TestCase): def setUp(self): self.figure_properties = plotting.FigureProperties() def test_instantiate_class(self): pass def test_has_to_dict_method(self): self.assertTrue(hasattr(self.figure_properties, 'to_dict')) self.assertTrue(callable(self.figure_properties.to_dict)) def test_has_from_dict_method(self): self.assertTrue(hasattr(self.figure_properties, 'from_dict')) self.assertTrue(callable(self.figure_properties.from_dict)) def test_has_properties(self): for prop in ['size', 'dpi', 'title']: self.assertTrue(hasattr(self.figure_properties, prop)) def test_has_apply_method(self): self.assertTrue(hasattr(self.figure_properties, 'apply')) self.assertTrue(callable(self.figure_properties.apply)) def test_apply_without_argument_raises(self): with self.assertRaises(aspecd.exceptions.MissingFigureError): self.figure_properties.apply() def test_apply_sets_figure_dpi(self): self.figure_properties.dpi = 300.0 plot = plotting.Plotter() plot.plot() self.figure_properties.apply(figure=plot.figure) self.assertEqual(self.figure_properties.dpi, plot.figure.get_dpi()) plt.close(plot.figure) def test_apply_sets_figure_size(self): self.figure_properties.size = (10, 5) plot = plotting.Plotter() plot.plot() self.figure_properties.apply(figure=plot.figure) self.assertListEqual(list(self.figure_properties.size), list(plot.figure.get_size_inches())) plt.close(plot.figure) def test_apply_sets_figure_title(self): self.figure_properties.title = 'foo' plot = plotting.Plotter() plot.plot() self.figure_properties.apply(figure=plot.figure) self.assertEqual(self.figure_properties.title, plot.figure._suptitle.get_text()) plt.close(plot.figure) class TestAxisProperties(unittest.TestCase): def setUp(self): self.axis_properties = plotting.AxesProperties() def test_instantiate_class(self): pass def test_has_to_dict_method(self): self.assertTrue(hasattr(self.axis_properties, 'to_dict')) self.assertTrue(callable(self.axis_properties.to_dict)) def test_has_from_dict_method(self): self.assertTrue(hasattr(self.axis_properties, 'from_dict')) self.assertTrue(callable(self.axis_properties.from_dict)) def test_has_properties(self): for prop in ['aspect', 'facecolor', 'position', 'title', 'xlabel', 'xlim', 'xscale', 'xticklabels', 'xticks', 'ylabel', 'ylim', 'yscale', 'yticklabels', 'yticks']: self.assertTrue(hasattr(self.axis_properties, prop)) def test_has_apply_properties_method(self): self.assertTrue(hasattr(self.axis_properties, 'apply')) self.assertTrue(callable(self.axis_properties.apply)) def test_apply_properties_without_argument_raises(self): with self.assertRaises(aspecd.exceptions.MissingAxisError): self.axis_properties.apply() def test_apply_properties_sets_axis_properties(self): self.axis_properties.xlabel = 'foo' plot = plotting.Plotter() plot.plot() self.axis_properties.apply(axes=plot.axes) self.assertEqual(self.axis_properties.xlabel, plot.axes.get_xlabel()) plt.close(plot.figure) def test_apply_properties_from_dict_sets_axis_properties(self): label = 'foo' properties = {'axes': {'xlabel': label}} plot = plotting.MultiPlotter1D() plot.datasets.append(aspecd.dataset.Dataset()) plot.properties.from_dict(properties) plot.plot() self.assertEqual(label, plot.axes.get_xlabel()) plt.close(plot.figure) def test_set_xticks(self): self.axis_properties.xticks = np.linspace(0, 1, 11) plot = plotting.Plotter() plot.plot() self.axis_properties.apply(axes=plot.axes) self.assertListEqual(list(self.axis_properties.xticks), list(plot.axes.get_xticks())) plt.close(plot.figure) def test_set_xtick_labels(self): self.axis_properties.xticks = np.linspace(0, 1, 11) self.axis_properties.xticklabels = np.linspace(2, 3, 11).astype(str) plot = plotting.Plotter() plot.plot() self.axis_properties.apply(axes=plot.axes) self.assertEqual(self.axis_properties.xticklabels[5], plot.axes.get_xticklabels()[5].get_text()) plt.close(plot.figure) def test_set_yticks(self): self.axis_properties.yticks = np.linspace(0, 1, 11) plot = plotting.Plotter() plot.plot() self.axis_properties.apply(axes=plot.axes) self.assertListEqual(list(self.axis_properties.yticks), list(plot.axes.get_yticks())) plt.close(plot.figure) def test_set_ytick_labels(self): self.axis_properties.yticks = np.linspace(0, 1, 11) self.axis_properties.yticklabels = np.linspace(2, 3, 11).astype(str) plot = plotting.Plotter() plot.plot() self.axis_properties.apply(axes=plot.axes) self.assertEqual(self.axis_properties.yticklabels[5], plot.axes.get_yticklabels()[5].get_text()) plt.close(plot.figure) def test_set_ticks_and_labels_does_not_issue_warning(self): self.axis_properties.xticks = np.linspace(0, 1, 11) self.axis_properties.xticklabels = np.linspace(2, 3, 11).astype(str) plot = plotting.Plotter() plot.plot() with warnings.catch_warnings(record=True) as warning: self.axis_properties.apply(axes=plot.axes) self.assertFalse(len(warning)) plt.close(plot.figure) class TestLegendProperties(unittest.TestCase): def setUp(self): self.legend_properties = plotting.LegendProperties() def test_instantiate_class(self): pass def test_has_to_dict_method(self): self.assertTrue(hasattr(self.legend_properties, 'to_dict')) self.assertTrue(callable(self.legend_properties.to_dict)) def test_has_from_dict_method(self): self.assertTrue(hasattr(self.legend_properties, 'from_dict')) self.assertTrue(callable(self.legend_properties.from_dict)) def test_has_properties(self): for prop in ['loc', 'frameon']: self.assertTrue(hasattr(self.legend_properties, prop)) def test_has_apply_method(self): self.assertTrue(hasattr(self.legend_properties, 'apply')) self.assertTrue(callable(self.legend_properties.apply)) def test_apply_without_argument_raises(self): with self.assertRaises(aspecd.exceptions.MissingLegendError): self.legend_properties.apply() def test_apply_properties_sets_legend_properties(self): self.legend_properties.loc = 'center' plot = plotting.Plotter() plot.plot() with contextlib.redirect_stderr(io.StringIO()): legend = plot.axes.legend() self.legend_properties.apply(legend=legend) self.assertEqual(self.legend_properties.loc, legend.loc) plt.close(plot.figure) def test_location_sets_legend_loc(self): location = 5 self.legend_properties.location = location plot = plotting.Plotter() plot.properties.legend = self.legend_properties plot.parameters['show_legend'] = True with contextlib.redirect_stderr(io.StringIO()): plot.plot() legend = plot.legend self.assertEqual(location, legend._loc) plt.close(plot.figure) def test_location_from_dict_sets_legend_loc(self): location = 5 properties = {'legend': {'location': location}} plot = plotting.Plotter() plot.properties.from_dict(properties) plot.parameters['show_legend'] = True with contextlib.redirect_stderr(io.StringIO()): plot.plot() legend = plot.legend self.assertEqual(location, legend._loc) plt.close(plot.figure) def test_frameon_sets_legend_frameon(self): frameon = False self.legend_properties.frameon = frameon plot = plotting.Plotter() plot.properties.legend = self.legend_properties plot.parameters['show_legend'] = True with contextlib.redirect_stderr(io.StringIO()): plot.plot() legend = plot.legend self.assertEqual(frameon, legend.get_frame_on()) plt.close(plot.figure) def test_location_not_included_in_to_dict(self): self.assertNotIn('location', self.legend_properties.to_dict()) class TestGridProperties(unittest.TestCase): def setUp(self): self.grid_properties = plotting.GridProperties() def test_instantiate_class(self): pass def test_has_to_dict_method(self): self.assertTrue(hasattr(self.grid_properties, 'to_dict')) self.assertTrue(callable(self.grid_properties.to_dict)) def test_has_from_dict_method(self): self.assertTrue(hasattr(self.grid_properties, 'from_dict')) self.assertTrue(callable(self.grid_properties.from_dict)) def test_has_properties(self): for prop in ['show', 'ticks', 'axis', 'lines']: self.assertTrue(hasattr(self.grid_properties, prop)) def test_has_apply_method(self): self.assertTrue(hasattr(self.grid_properties, 'apply')) self.assertTrue(callable(self.grid_properties.apply)) def test_apply_without_argument_raises(self): with self.assertRaises(TypeError): self.grid_properties.apply() def test_lines_color_is_sensible_for_grid(self): self.assertEqual('#cccccc', self.grid_properties.lines.color) def test_apply_properties_sets_properties(self): self.grid_properties.show = True self.grid_properties.lines.color = '#cccccc' plot = plotting.Plotter() plot.plot() self.grid_properties.apply(axes=plot.axes) self.assertEqual(self.grid_properties.lines.color, plot.axes.xaxis.get_gridlines()[0].get_color()) plt.close(plot.figure) class TestSinglePlotProperties(unittest.TestCase): def setUp(self): self.plot_properties = plotting.SinglePlotProperties() def test_instantiate_class(self): pass def test_has_figure_property(self): self.assertTrue(hasattr(self.plot_properties, 'figure')) def test_has_axes_property(self): self.assertTrue(hasattr(self.plot_properties, 'axes')) def test_has_grid_property(self): self.assertTrue(hasattr(self.plot_properties, 'grid')) def test_has_drawing_property(self): self.assertTrue(hasattr(self.plot_properties, 'drawing')) def test_has_to_dict_method(self): self.assertTrue(hasattr(self.plot_properties, 'to_dict')) self.assertTrue(callable(self.plot_properties.to_dict)) def test_has_from_dict_method(self): self.assertTrue(hasattr(self.plot_properties, 'from_dict')) self.assertTrue(callable(self.plot_properties.from_dict)) def test_apply_sets_axis_properties(self): self.plot_properties.axes.xlabel = 'foo' plot = plotting.SinglePlotter() plot.plot(dataset=dataset.Dataset()) self.plot_properties.apply(plotter=plot) self.assertEqual(self.plot_properties.axes.xlabel, plot.axes.get_xlabel()) plt.close(plot.figure) def test_apply_sets_grid_properties(self): self.plot_properties.grid.show = True self.plot_properties.grid.lines.color = '#000000' plot = plotting.SinglePlotter() plot.plot(dataset=dataset.Dataset()) self.plot_properties.apply(plotter=plot) self.assertEqual(self.plot_properties.grid.lines.color, plot.axes.xaxis.get_gridlines()[0].get_color()) plt.close(plot.figure) def test_apply_sets_drawing_properties(self): self.plot_properties.drawing.label = 'foo' plot = plotting.SinglePlotter1D() plot.plot(dataset=dataset.Dataset()) self.plot_properties.apply(plotter=plot) self.assertEqual(self.plot_properties.drawing.label, plot.drawing.get_label()) plt.close(plot.figure) class TestSinglePlot1DProperties(unittest.TestCase): def setUp(self): self.plot_properties = plotting.SinglePlot1DProperties() def test_instantiate_class(self): pass def test_apply_sets_drawing_properties(self): self.plot_properties.drawing.linewidth = 2.0 plot = plotting.SinglePlotter1D() plot.plot(dataset=dataset.Dataset()) self.plot_properties.apply(plotter=plot) self.assertEqual(self.plot_properties.drawing.linewidth, plot.drawing.get_linewidth()) plt.close(plot.figure) class TestSinglePlot2DProperties(unittest.TestCase): def setUp(self): self.plot_properties = plotting.SinglePlot2DProperties() def test_instantiate_class(self): pass def test_apply_sets_drawing_properties(self): self.plot_properties.drawing.cmap = 'RdGy' plot = plotting.SinglePlotter2D() dataset_ = dataset.Dataset() dataset_.data.data = np.random.random([5, 5]) plot.plot(dataset=dataset_) self.plot_properties.apply(plotter=plot) self.assertEqual(self.plot_properties.drawing.cmap, plot.drawing.cmap.name) plt.close(plot.figure) class TestMultiPlotProperties(unittest.TestCase): def setUp(self): self.plot_properties = plotting.MultiPlotProperties() def test_instantiate_class(self): pass def test_has_figure_property(self): self.assertTrue(hasattr(self.plot_properties, 'figure')) def test_has_axes_property(self): self.assertTrue(hasattr(self.plot_properties, 'axes')) def test_has_grid_property(self): self.assertTrue(hasattr(self.plot_properties, 'grid')) def test_has_drawings_property(self): self.assertTrue(hasattr(self.plot_properties, 'drawings')) def test_has_legend_property(self): self.assertTrue(hasattr(self.plot_properties, 'legend')) def test_has_to_dict_method(self): self.assertTrue(hasattr(self.plot_properties, 'to_dict')) self.assertTrue(callable(self.plot_properties.to_dict)) def test_has_from_dict_method(self): self.assertTrue(hasattr(self.plot_properties, 'from_dict')) self.assertTrue(callable(self.plot_properties.from_dict)) def test_apply_sets_axis_properties(self): self.plot_properties.axes.xlabel = 'foo' plot = plotting.MultiPlotter() plot.datasets = [dataset.Dataset()] plot.plot() self.plot_properties.apply(plotter=plot) self.assertEqual(self.plot_properties.axes.xlabel, plot.axes.get_xlabel()) plt.close(plot.figure) def test_apply_sets_grid_properties(self): self.plot_properties.grid.show = True self.plot_properties.grid.lines.color = '#000000' plot = plotting.SinglePlotter() plot.plot(dataset=dataset.Dataset()) self.plot_properties.apply(plotter=plot) self.assertEqual(self.plot_properties.grid.lines.color, plot.axes.xaxis.get_gridlines()[0].get_color()) plt.close(plot.figure) def test_apply_sets_legend_properties(self): self.plot_properties.legend.loc = 'center' plotter = plotting.MultiPlotter() dataset_ = dataset.Dataset() dataset_.label = 'foo' plotter.datasets = [dataset_] plotter.plot() with contextlib.redirect_stderr(io.StringIO()): plotter.legend = plotter.axes.legend() self.plot_properties.apply(plotter=plotter) self.assertEqual(self.plot_properties.legend.loc, plotter.legend.loc) plt.close(plotter.figure) def test_from_dict_sets_drawings(self): dict_ = {'drawings': [{'label': 'foo'}]} self.plot_properties.from_dict(dict_) self.assertEqual('foo', self.plot_properties.drawings[0].label) def test_from_dict_sets_multiple_drawings(self): dict_ = {'drawings': [{'label': 'foo'}, {'label': 'bar'}]} self.plot_properties.from_dict(dict_) self.assertEqual('foo', self.plot_properties.drawings[0].label) self.assertEqual('bar', self.plot_properties.drawings[1].label) def test_from_dict_does_not_add_drawing_if_it_exists(self): self.plot_properties.drawings.append( aspecd.plotting.DrawingProperties()) dict_ = {'drawings': [{'label': 'foo'}]} self.plot_properties.from_dict(dict_) self.assertEqual(1, len(self.plot_properties.drawings)) def test_from_dict_adds_missing_drawing(self): dict_ = {'drawings': [{'label': 'foo'}]} self.plot_properties.from_dict(dict_) self.assertEqual(1, len(self.plot_properties.drawings)) def test_from_dict_adds_missing_drawings(self): dict_ = {'drawings': [{'label': 'foo'}, {'label': 'bar'}]} self.plot_properties.from_dict(dict_) self.assertEqual(2, len(self.plot_properties.drawings)) def test_from_dict_sets_legend(self): dict_ = {'legend': {'loc': 'center'}, 'drawings': [{'label': 'foo'}]} self.plot_properties.from_dict(dict_) self.assertEqual('center', self.plot_properties.legend.loc) class TestMultiPlot1DProperties(unittest.TestCase): def setUp(self): self.plot_properties = plotting.MultiPlot1DProperties() def test_instantiate_class(self): pass def test_added_drawing_is_line_properties_object(self): self.plot_properties.add_drawing() self.assertIs(type(self.plot_properties.drawings[0]), aspecd.plotting.LineProperties) def test_added_drawing_has_correct_default_colour(self): property_cycle = plt.rcParams['axes.prop_cycle'].by_key() colour = property_cycle["color"][0] self.plot_properties.add_drawing() self.assertEqual(colour, self.plot_properties.drawings[0].color) def test_drawing_has_correct_color_if_more_drawings_than_colors(self): property_cycle = plt.rcParams['axes.prop_cycle'].by_key() colour = property_cycle["color"][0] for idx in range(0, len(property_cycle["color"])+1): self.plot_properties.add_drawing() self.assertEqual(colour, self.plot_properties.drawings[0].color) def test_added_drawing_has_correct_default_linewidth(self): linewidth = plt.rcParams['lines.linewidth'] self.plot_properties.add_drawing() self.assertEqual(linewidth, self.plot_properties.drawings[0].linewidth) def test_added_drawing_has_correct_default_linestyle(self): linewidth = plt.rcParams['lines.linestyle'] self.plot_properties.add_drawing() self.assertEqual(linewidth, self.plot_properties.drawings[0].linestyle) def test_added_drawing_has_correct_default_marker(self): linewidth = plt.rcParams['lines.marker'] self.plot_properties.add_drawing() self.assertEqual(linewidth, self.plot_properties.drawings[0].marker) class TestCompositePlotProperties(unittest.TestCase): def setUp(self): self.plot_properties = plotting.CompositePlotProperties() def test_instantiate_class(self): pass def test_has_figure_property(self): self.assertTrue(hasattr(self.plot_properties, 'figure')) def test_has_axes_property(self): self.assertTrue(hasattr(self.plot_properties, 'axes')) def test_has_to_dict_method(self): self.assertTrue(hasattr(self.plot_properties, 'to_dict')) self.assertTrue(callable(self.plot_properties.to_dict)) def test_has_from_dict_method(self): self.assertTrue(hasattr(self.plot_properties, 'from_dict')) self.assertTrue(callable(self.plot_properties.from_dict)) def test_apply_sets_axis_properties(self): self.plot_properties.axes.xlabel = 'foo' plot = plotting.CompositePlotter() plot.grid_dimensions = [1, 1] plot.subplot_locations = [[0, 0, 1, 1]] single_plotter = plotting.SinglePlotter1D() dataset_ = aspecd.dataset.CalculatedDataset() dataset_.data.data = np.sin(np.linspace(0, 2*np.pi, 101)) single_plotter.dataset = dataset_ plot.plotter.append(single_plotter) plot.plot() self.plot_properties.apply(plotter=plot) self.assertEqual(self.plot_properties.axes.xlabel, plot.axes[0].get_xlabel()) plt.close(plot.figure) def test_apply_sets_axis_properties_for_multiple_plots(self): self.plot_properties.axes.xlabel = 'foo' plot = plotting.CompositePlotter() plot.grid_dimensions = [2, 1] plot.subplot_locations = [[0, 0, 1, 1], [1, 0, 1, 1]] single_plotter = plotting.SinglePlotter1D() dataset_ = aspecd.dataset.CalculatedDataset() dataset_.data.data = np.sin(np.linspace(0, 2*np.pi, 101)) single_plotter.dataset = dataset_ plot.plotter.append(single_plotter) plot.plotter.append(single_plotter) plot.plot() self.plot_properties.apply(plotter=plot) self.assertEqual(self.plot_properties.axes.xlabel, plot.axes[0].get_xlabel()) self.assertEqual(self.plot_properties.axes.xlabel, plot.axes[1].get_xlabel()) plt.close(plot.figure) def test_apply_overrides_axis_properties(self): self.plot_properties.axes.xlabel = 'foo' plot = plotting.CompositePlotter() plot.grid_dimensions = [1, 1] plot.subplot_locations = [[0, 0, 1, 1]] single_plotter = plotting.SinglePlotter1D() single_plotter.properties.axes.xlabel = 'bar' dataset_ = aspecd.dataset.CalculatedDataset() dataset_.data.data = np.sin(np.linspace(0, 2*np.pi, 101)) single_plotter.dataset = dataset_ plot.plotter.append(single_plotter) plot.plot() self.plot_properties.apply(plotter=plot) self.assertEqual(self.plot_properties.axes.xlabel, plot.axes[0].get_xlabel()) plt.close(plot.figure)
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4
25a32f1abb2c01196af44a83c31be5d591504608
1,353
py
Python
file_sync_tool/utility/info.py
jackd248/file-sync-tool
68fbca562f232c2bc064f546d9eade20a2ae456f
[ "MIT" ]
null
null
null
file_sync_tool/utility/info.py
jackd248/file-sync-tool
68fbca562f232c2bc064f546d9eade20a2ae456f
[ "MIT" ]
null
null
null
file_sync_tool/utility/info.py
jackd248/file-sync-tool
68fbca562f232c2bc064f546d9eade20a2ae456f
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 # -*- coding: future_fstrings -*- from db_sync_tool.utility import output from file_sync_tool import info def print_header(mute): """ Printing console header :param mute: Boolean :return: """ if mute is False: print(output.CliFormat.BLACK + '##############################################' + output.CliFormat.ENDC) print(output.CliFormat.BLACK + '# #' + output.CliFormat.ENDC) print( output.CliFormat.BLACK + '#' + output.CliFormat.ENDC + ' FILE SYNC TOOL ' + output.CliFormat.BLACK + '#' + output.CliFormat.ENDC) print(output.CliFormat.BLACK + '# v' + info.__version__ + ' #' + output.CliFormat.ENDC) print(output.CliFormat.BLACK + '# ' + info.__homepage__ + ' #' + output.CliFormat.ENDC) print(output.CliFormat.BLACK + '# #' + output.CliFormat.ENDC) print(output.CliFormat.BLACK + '##############################################' + output.CliFormat.ENDC) def print_footer(): """ Printing console footer :return: """ _message = 'Successfully synchronized files' output.message( output.Subject.INFO, _message, True, True )
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4
25e622333a681cf71cc870657dee7b877b8dfe7e
1,165
py
Python
iok.py
bangyen/i-ok
911439d6b38688e669a4db1b5f85d7beedae2380
[ "MIT" ]
null
null
null
iok.py
bangyen/i-ok
911439d6b38688e669a4db1b5f85d7beedae2380
[ "MIT" ]
null
null
null
iok.py
bangyen/i-ok
911439d6b38688e669a4db1b5f85d7beedae2380
[ "MIT" ]
null
null
null
def run(): file = "main.iok" file = open(file, "r") script = file.read() file.close() script = script.split(" ") res = 0 a = 16 for char in script: if char == "i+": res += 1 elif char == "i-": res -= 1 elif char == "i*": res *= 2 elif char == "i/": res /= 2 elif char == "i--": res -= 2 elif char == "i++": res += 2 if res == a: res = "a" elif res == a + 1: res = "b" elif res == a + 2: res = "c" elif res == a + 3: res = "d" elif res == a + 4: res = "e" elif res == a + 5: res = "f" elif res == a + 6: res = "g" elif res == a + 7: res = "h" elif res == a + 8: res = "i" elif res >= a + 9: res = "null" elif res == ps: #special chars res = "!" elif res == ps - 1: res = "@" elif res == ps - 2: res = "#" elif res == ps - 3: res = "$" elif res == ps - 4: res = "%" elif res == ps - 5: res = "^" elif res == ps - 6: res = "&" elif res == ps - 7: res = "*" elif res == ps - 8: res = "(" elif res == ps - 9: res = ")" elif res <= ps - 10: res = "null" print(res)
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0
0
0
4
25e6d0e44ab50915306042aa09f692f391b5c374
85
py
Python
application/utils/globals.py
topix-hackademy/social-listener
ce00a0ff6bd699b7941aaf92b17df378dac1633b
[ "MIT" ]
12
2016-12-16T09:43:37.000Z
2022-01-30T05:49:14.000Z
application/utils/globals.py
topix-hackademy/social-listener
ce00a0ff6bd699b7941aaf92b17df378dac1633b
[ "MIT" ]
2
2016-12-20T17:35:38.000Z
2016-12-21T09:18:02.000Z
application/utils/globals.py
topix-hackademy/social-listener
ce00a0ff6bd699b7941aaf92b17df378dac1633b
[ "MIT" ]
3
2017-07-02T10:01:54.000Z
2021-01-03T01:58:01.000Z
configuration = None def init(): global configuration configuration = None
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4
d302e5431ed2aa5cd6224ddb6ba47f9bd01907df
56
py
Python
behave_graph/__main__.py
jenmud/behave-graph
d2a1fc819a424de2c1df41223fb468299023c25d
[ "MIT" ]
2
2021-04-21T23:02:10.000Z
2021-08-05T07:12:27.000Z
behave_graph/__main__.py
jenmud/behave-graph
d2a1fc819a424de2c1df41223fb468299023c25d
[ "MIT" ]
null
null
null
behave_graph/__main__.py
jenmud/behave-graph
d2a1fc819a424de2c1df41223fb468299023c25d
[ "MIT" ]
null
null
null
""" Run main. """ from behave_graph import main main()
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4
d331c678aca994216f5d1dcb47142fe48db773b8
212
py
Python
GPy/mappings/__init__.py
strongh/GPy
775ce9e64c1e8f472083b8f2430134047d97b2fa
[ "BSD-3-Clause" ]
1
2015-08-06T13:47:10.000Z
2015-08-06T13:47:10.000Z
GPy/mappings/__init__.py
strongh/GPy
775ce9e64c1e8f472083b8f2430134047d97b2fa
[ "BSD-3-Clause" ]
null
null
null
GPy/mappings/__init__.py
strongh/GPy
775ce9e64c1e8f472083b8f2430134047d97b2fa
[ "BSD-3-Clause" ]
1
2021-12-09T01:31:17.000Z
2021-12-09T01:31:17.000Z
# Copyright (c) 2013, 2014 GPy authors (see AUTHORS.txt). # Licensed under the BSD 3-clause license (see LICENSE.txt) from kernel import Kernel from linear import Linear from mlp import MLP #from rbf import RBF
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1
0
1
0
0
4
d33499f42b9fe4b998baa8b6f65e9b0519fae5f7
24
py
Python
acerezoc/conditional.py
acerezoc/Programming_with_python_2021
f6dedfb2c9e033c1a6c291a2464d179f2fe75400
[ "Apache-2.0" ]
null
null
null
acerezoc/conditional.py
acerezoc/Programming_with_python_2021
f6dedfb2c9e033c1a6c291a2464d179f2fe75400
[ "Apache-2.0" ]
null
null
null
acerezoc/conditional.py
acerezoc/Programming_with_python_2021
f6dedfb2c9e033c1a6c291a2464d179f2fe75400
[ "Apache-2.0" ]
null
null
null
my_city_name = "Madrid"
24
24
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24
4
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0
0
0.125
24
1
24
24
0.761905
0
0
0
0
0
0.24
0
0
0
0
0
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null
null
0
0
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null
0
1
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0
null
0
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0
0
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0
0
0
0
4
d348140644e4e2f06512f1a9d84571e30a747e3d
832
py
Python
musicscore/musicxml/types/complextypes/emptyline.py
alexgorji/music_score
b4176da52295361f3436826903485c5cb8054c5e
[ "MIT" ]
2
2020-06-22T13:33:28.000Z
2020-12-30T15:09:00.000Z
musicscore/musicxml/types/complextypes/emptyline.py
alexgorji/music_score
b4176da52295361f3436826903485c5cb8054c5e
[ "MIT" ]
37
2020-02-18T12:15:00.000Z
2021-12-13T20:01:14.000Z
musicscore/musicxml/types/complextypes/emptyline.py
alexgorji/music_score
b4176da52295361f3436826903485c5cb8054c5e
[ "MIT" ]
null
null
null
from musicscore.musicxml.attributes.dahsedformatting import DashedFormatting from musicscore.musicxml.attributes.linelength import LineLength from musicscore.musicxml.attributes.lineshape import LineShape from musicscore.musicxml.attributes.linetype import LineType from musicscore.musicxml.attributes.placement import Placement from musicscore.musicxml.attributes.printstyle import PrintStyle from musicscore.musicxml.types.complextypes.complextype import Empty class ComplexTypeEmptyLine(Empty, LineShape, LineType, LineLength, DashedFormatting, PrintStyle, Placement): """The empty-line type represents an empty element with line-shape, line-type, line-length, dashed-formatting, print-style and placement attributes.""" def __init__(self, tag, *args, **kwargs): super().__init__(tag=tag, *args, **kwargs)
52
114
0.81851
93
832
7.236559
0.419355
0.145617
0.228826
0.28529
0
0
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0.09976
832
15
115
55.466667
0.898531
0.174279
0
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0.1
false
0
0.7
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0.9
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0
0
1
0
1
0
0
4
d35035b3bfb8c2bd167fae919f0a0f902fa01bee
1,086
py
Python
MiscScipts/CarInfo.py
nevileone/CarHackingTools
a549ccb7a3b55e03ba157a98329b4ee72d8d89ea
[ "MIT" ]
496
2018-07-31T06:51:05.000Z
2022-03-31T22:15:38.000Z
MiscScipts/CarInfo.py
pentestbr/CarHackingTools
a82baee3c17a54e22000eb0b06d081e85d705fba
[ "MIT" ]
4
2018-08-26T17:58:10.000Z
2021-05-20T12:37:14.000Z
MiscScipts/CarInfo.py
pentestbr/CarHackingTools
a82baee3c17a54e22000eb0b06d081e85d705fba
[ "MIT" ]
127
2018-08-06T16:35:41.000Z
2022-02-02T18:21:15.000Z
#!/usr/bin/env python import sys import time import obd import json import os if len(sys.argv) == 1: connection = obd.OBD() else: connection = obd.OBD(sys.argv[1]) os.system('clear') while True: print 'Car Information: ' print 'Speed : ' + \ str(connection.query(obd.commands.SPEED).value.to("mph")) print 'RPM : ' + str(connection.query(obd.commands.RPM).value) print 'Fuel Level: ' + str(connection.query(obd.commands.FUEL_LEVEL).value) print 'Engine Temp : ' + \ str(connection.query(obd.commands.COOLANT_TEMP).value.to("degF")) print '\n' print 'Diagonstic Information: ' print 'Stored DTCs: ' + str(connection.query(obd.commands.GET_DTC).value) print 'UpTme: ' + str(connection.query(obd.commands.RUN_TIME).value) print '\n' print 'Weather Information:' print 'Air Temp: ' \ + str(connection.query(obd.commands.AMBIANT_AIR_TEMP).value.to("degF")) print 'Barometric Pressure: ' \ + str(connection.query(obd.commands.BAROMETRIC_PRESSURE).value) time.sleep(5) os.system('clear')
31.028571
79
0.662063
143
1,086
4.979021
0.363636
0.146067
0.202247
0.235955
0.393258
0.092697
0
0
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0
0
0.003386
0.184162
1,086
34
80
31.941176
0.800226
0.018416
0
0.133333
0
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1
0
0
0
0
0
0
1
0
4
d381828768aaf1a88f807987b47953e726900742
567
py
Python
jarvis/resume/migrations/0016_auto_20170522_0534.py
Anubhav722/blahblah
160698e06a02e671ac40de3113cd37d642e72e96
[ "MIT" ]
1
2019-01-03T06:10:04.000Z
2019-01-03T06:10:04.000Z
jarvis/resume/migrations/0016_auto_20170522_0534.py
Anubhav722/blahblah
160698e06a02e671ac40de3113cd37d642e72e96
[ "MIT" ]
1
2021-03-31T19:11:52.000Z
2021-03-31T19:11:52.000Z
jarvis/resume/migrations/0016_auto_20170522_0534.py
Anubhav722/blahblah
160698e06a02e671ac40de3113cd37d642e72e96
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- # Generated by Django 1.11.1 on 2017-05-22 05:34 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('resume', '0015_auto_20170512_0749'), ] operations = [ migrations.RemoveField( model_name='resume', name='company', ), migrations.RemoveField( model_name='resume', name='institution', ), migrations.RemoveField( model_name='resume', name='location', ), ]
20.25
48
0.539683
52
567
5.769231
0.615385
0.21
0.26
0.3
0.4
0.4
0
0
0
0
0
0.087766
0.336861
567
27
49
21
0.710106
0.119929
0
0.473684
1
0
0.147177
0.046371
0
0
0
0
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1
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false
0
0.052632
0
0.210526
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0
0
0
0
0
0
0
0
4
d38461a3a750c6f6cc1a2e21a9a751bf5aef6c40
59
py
Python
code/nikkei2019_qual_a_02.py
KoyanagiHitoshi/AtCoder
731892543769b5df15254e1f32b756190378d292
[ "MIT" ]
3
2019-08-16T16:55:48.000Z
2021-04-11T10:21:40.000Z
code/nikkei2019_qual_a_02.py
KoyanagiHitoshi/AtCoder
731892543769b5df15254e1f32b756190378d292
[ "MIT" ]
null
null
null
code/nikkei2019_qual_a_02.py
KoyanagiHitoshi/AtCoder
731892543769b5df15254e1f32b756190378d292
[ "MIT" ]
null
null
null
N,A,B=map(int,input().split()) print(min(A,B),max(0,A+B-N))
29.5
30
0.610169
16
59
2.25
0.6875
0.166667
0
0
0
0
0
0
0
0
0
0.017241
0.016949
59
2
31
29.5
0.603448
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0
0
0
0.5
1
0
0
null
0
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0
0
0
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0
0
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1
0
0
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0
0
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null
0
0
0
0
0
0
1
0
0
0
0
1
0
4
d394e890c0fc652da0d0b3492e00f326734515c6
72
py
Python
tests/function/__init__.py
ddimatos/zhmc-ansible-modules
6eb29056052f499021a4bab26539872b25050640
[ "Apache-2.0" ]
10
2017-08-10T07:40:29.000Z
2021-03-18T18:33:08.000Z
tests/function/__init__.py
ddimatos/zhmc-ansible-modules
6eb29056052f499021a4bab26539872b25050640
[ "Apache-2.0" ]
439
2017-07-20T07:31:08.000Z
2022-03-27T19:59:22.000Z
tests/function/__init__.py
ddimatos/zhmc-ansible-modules
6eb29056052f499021a4bab26539872b25050640
[ "Apache-2.0" ]
9
2019-03-30T08:49:40.000Z
2021-05-15T02:42:11.000Z
# this file is required to get the pytest working with relative imports
36
71
0.805556
12
72
4.833333
1
0
0
0
0
0
0
0
0
0
0
0
0.180556
72
1
72
72
0.983051
0.958333
0
null
0
null
0
0
null
0
0
0
null
1
null
true
0
0
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null
1
0
0
null
0
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null
0
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0
0
0
1
0
0
0
0
0
0
4
d395fe74a56b078a59e039da6201247ae4b71f8f
329
py
Python
analysis/swap/__init__.py
melaniebeck/GZExpress
43129239cbf6b646200ede4aebcb3a29c1cad1d4
[ "MIT" ]
null
null
null
analysis/swap/__init__.py
melaniebeck/GZExpress
43129239cbf6b646200ede4aebcb3a29c1cad1d4
[ "MIT" ]
null
null
null
analysis/swap/__init__.py
melaniebeck/GZExpress
43129239cbf6b646200ede4aebcb3a29c1cad1d4
[ "MIT" ]
null
null
null
from logging import * from config import * from io import * from bureau import * from agent import * from collection import * from storage import * from subject import * from toydb import * from mongodb import * from shannon import * from mysqldb import * from mysqldb_ML import * from subject_ML import * from agent_ML import *
20.5625
24
0.772036
48
329
5.229167
0.3125
0.557769
0.119522
0
0
0
0
0
0
0
0
0
0.182371
329
15
25
21.933333
0.933086
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
0
0
0
null
1
0
0
0
0
0
0
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null
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0
0
0
1
0
1
0
1
0
0
4
d3abaa52eb536d609be589e46aaa852f310217a7
94
py
Python
sequence/test/side_effects/__init__.py
ritchie46/clickstream
79c669d0636521db2697e5fa583628d1920cc6c1
[ "MIT" ]
8
2020-01-27T14:43:02.000Z
2021-08-24T19:26:30.000Z
sequence/test/side_effects/__init__.py
ritchie46/clickstream
79c669d0636521db2697e5fa583628d1920cc6c1
[ "MIT" ]
4
2020-07-16T14:27:11.000Z
2021-01-27T08:28:20.000Z
sequence/test/side_effects/__init__.py
ritchie46/clickstream
79c669d0636521db2697e5fa583628d1920cc6c1
[ "MIT" ]
6
2020-07-16T12:14:49.000Z
2021-05-17T08:18:42.000Z
# Tests in these module have side effects. # They download data or make artifact directories.
31.333333
50
0.787234
14
94
5.285714
1
0
0
0
0
0
0
0
0
0
0
0
0.170213
94
2
51
47
0.948718
0.946809
0
null
0
null
0
0
null
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null
1
null
true
0
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null
null
1
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null
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1
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null
0
0
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0
0
1
0
0
0
0
0
0
4
6cb55a069910bb0711a7afbaac8a28c24f0b2d7b
62
py
Python
file_handler/manage.py
merwane/shield
067d4ed9c84946479c200c0f7bcf47f7bfce3b80
[ "MIT" ]
null
null
null
file_handler/manage.py
merwane/shield
067d4ed9c84946479c200c0f7bcf47f7bfce3b80
[ "MIT" ]
null
null
null
file_handler/manage.py
merwane/shield
067d4ed9c84946479c200c0f7bcf47f7bfce3b80
[ "MIT" ]
null
null
null
import os def delete_file(filename): os.remove(filename)
12.4
26
0.741935
9
62
5
0.777778
0
0
0
0
0
0
0
0
0
0
0
0.16129
62
4
27
15.5
0.865385
0
0
0
0
0
0
0
0
0
0
0
0
1
0.333333
false
0
0.333333
0
0.666667
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
1
0
0
0
0
4
6cc920c7effb33cf26fabf3b0d402dd0df29447c
225
py
Python
tests/conftest.py
joar/disk-usage-exporter
cb23ced094f3410d15e4ad99d1006acf65812123
[ "BSD-2-Clause" ]
9
2017-10-20T21:27:30.000Z
2021-05-27T13:54:57.000Z
tests/conftest.py
joar/disk-usage-exporter
cb23ced094f3410d15e4ad99d1006acf65812123
[ "BSD-2-Clause" ]
3
2017-08-15T18:43:46.000Z
2020-09-30T08:43:35.000Z
tests/conftest.py
joar/disk-usage-exporter
cb23ced094f3410d15e4ad99d1006acf65812123
[ "BSD-2-Clause" ]
2
2018-01-19T17:48:08.000Z
2019-03-28T08:45:25.000Z
import logging import pytest from disk_usage_exporter import logging as _logging @pytest.fixture(scope='session', autouse=True) def configure_logging(): _logging.configure_logging(for_humans=True, level=logging.DEBUG)
22.5
68
0.813333
30
225
5.866667
0.633333
0.147727
0
0
0
0
0
0
0
0
0
0
0.102222
225
9
69
25
0.871287
0
0
0
0
0
0.031111
0
0
0
0
0
0
1
0.166667
true
0
0.5
0
0.666667
0
0
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0
null
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0
1
0
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0
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0
0
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0
null
0
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0
0
0
1
0
1
0
1
0
0
4
6cd3fc6b6fc9327449607d5e067b0541aa367dac
268
py
Python
Selenium/Opencart_login_page/test_alert.py
BahrmaLe/otus_python_homework
510a4f1971b35048d760fcc45098e511b81bea31
[ "MIT" ]
1
2021-02-25T15:37:21.000Z
2021-02-25T15:37:21.000Z
Selenium/Opencart_login_page/test_alert.py
BahrmaLe/otus_python_homework
510a4f1971b35048d760fcc45098e511b81bea31
[ "MIT" ]
null
null
null
Selenium/Opencart_login_page/test_alert.py
BahrmaLe/otus_python_homework
510a4f1971b35048d760fcc45098e511b81bea31
[ "MIT" ]
null
null
null
def test_alert_message(alert_message): """Use this for check message in different cases:Incorrectly username/password, only username, only password by parameters """ print(alert_message) assert 'No match for Username and/or Password.' in alert_message
44.666667
115
0.764925
37
268
5.405405
0.621622
0.24
0
0
0
0
0
0
0
0
0
0
0.164179
268
5
116
53.6
0.892857
0.44403
0
0
0
0
0.275362
0
0
0
0
0
0.333333
1
0.333333
false
0.333333
0
0
0.333333
0.333333
0
0
0
null
1
0
0
0
0
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0
0
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1
0
0
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0
0
0
0
0
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0
null
0
0
0
0
0
1
0
1
0
0
0
0
0
4
6cdacc1255714d00aad79e85b4d5b879a38916da
140
py
Python
example_django_project/example_django_project/serialization.py
rennat/django_delta_logger
5bb2a2edd8258e9c146a515886b2bf0e0df00365
[ "MIT" ]
null
null
null
example_django_project/example_django_project/serialization.py
rennat/django_delta_logger
5bb2a2edd8258e9c146a515886b2bf0e0df00365
[ "MIT" ]
null
null
null
example_django_project/example_django_project/serialization.py
rennat/django_delta_logger
5bb2a2edd8258e9c146a515886b2bf0e0df00365
[ "MIT" ]
null
null
null
from django.conf import settings from django.utils.module_loading import import_string JsonEncoder = import_string(settings.JSON_ENCODER)
23.333333
53
0.857143
19
140
6.105263
0.631579
0.172414
0
0
0
0
0
0
0
0
0
0
0.092857
140
5
54
28
0.913386
0
0
0
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0
false
0
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1
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1
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null
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0
0
1
0
1
0
0
4
9f036a872be537cfa1f0de478083e9abe045c894
64
py
Python
3-9 guests.py
Holaplace/path_to_python
8fae2aca8d6da04c39a67514948fdf50e883750a
[ "MIT" ]
1
2019-02-06T01:49:18.000Z
2019-02-06T01:49:18.000Z
3-9 guests.py
Holaplace/path_to_python
8fae2aca8d6da04c39a67514948fdf50e883750a
[ "MIT" ]
null
null
null
3-9 guests.py
Holaplace/path_to_python
8fae2aca8d6da04c39a67514948fdf50e883750a
[ "MIT" ]
null
null
null
name_list = ['Amy','Bob','Candy','Ellen'] print(len(name_list))
32
42
0.65625
10
64
4
0.8
0.4
0
0
0
0
0
0
0
0
0
0
0.0625
64
2
43
32
0.666667
0
0
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0
false
0
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0
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0
0
0
0
0
0
0
1
0
4
9f1c1bd35f81aa694adee9c43675c66f39bb89b8
5,556
py
Python
codango/userprofile/tests/test_routes.py
NdagiStanley/silver-happiness
67fb6dd4047c603a84276f88a021d4489cf3b41e
[ "MIT" ]
2
2019-10-17T01:03:12.000Z
2021-11-24T07:43:14.000Z
codango/userprofile/tests/test_routes.py
NdagiStanley/silver-happiness
67fb6dd4047c603a84276f88a021d4489cf3b41e
[ "MIT" ]
49
2019-09-05T02:48:04.000Z
2021-06-28T02:29:42.000Z
codango/userprofile/tests/test_routes.py
NdagiStanley/silver-happiness
67fb6dd4047c603a84276f88a021d4489cf3b41e
[ "MIT" ]
1
2019-04-10T19:40:28.000Z
2019-04-10T19:40:28.000Z
from django.test import TestCase, Client from django.contrib.auth.models import User from django.core.urlresolvers import reverse class ProfileViewTestCase(TestCase): def setUp(self): self.client = Client() self.user = User.objects.create_user( username='lade', password='password' ) self.user.set_password('password') self.user.save() self.login = self.client.login( username='lade', password='password') def test_can_reach_profile_page(self): response = self.client.get('/user/lade') self.assertEqual(response.status_code, 200) def test_can_reach_profile_edit_page(self): response = self.client.post( '/user/lade/edit', {'position': 'Software Developer', 'place_of_work': 'Andela', 'first_name': 'Lade', 'last_name': 'Oshodi', 'about': 'I love to Code'}) self.assertEqual(response.status_code, 302) class FollowViewTestCase(TestCase): def setUp(self): self.client = Client() self.user1 = User.objects.create_user( username='golden', password='abiodun') self.user2 = User.objects.create_user( username='jubril', password='issa') self.user1.save() self.user2.save() self.login = self.client.login(username='golden', password='abiodun') def test_can_reach_followers_page(self): response = self.client.get('/user/golden/followers') self.assertEqual(response.status_code, 200) def test_can_reach_following_page(self): response = self.client.get('/user/golden/following') self.assertEqual(response.status_code, 200) class FollowUserProfileTest(TestCase): def setUp(self): self.client = Client() self.user1 = User.objects.create_user( username='golden', password='abiodun') self.user2 = User.objects.create_user( username='jubril', password='issa') self.user1.save() self.user2.save() self.login = self.client.login(username='golden', password='abiodun') def test_a_logged_in_user_can_follow_a_registered_user(self): response = self.client.post('/user/golden/follow') self.assertEqual(response.status_code, 200) class SettingsViewTest(TestCase): def setUp(self): self.client = Client() self.user = User.objects.create_user( username='test', password='test') self.user.save() self.login = self.client.login(username='test', password='test') def test_can_reach_settings_page(self): response = self.client.get( reverse( 'settings', kwargs={'username': self.user.username} )) self.assertEqual(response.status_code, 200) def test_can_change_password(self): response = self.client.post( reverse( 'settings', kwargs={'username': self.user.username} ), { 'new_password': 'tester', 'verify_new_password': 'tester' } ) # redirect with success message self.assertEqual(response.status_code, 302) def test_can_change_password_error(self): response = self.client.post( reverse( 'settings', kwargs={'username': self.user.username} ), { 'new_password': 'tester', 'verify_new_password': 'tester1' } ) # redirects with error message self.assertEqual(response.status_code, 302) def test_can_change_password_special_character_error(self): response = self.client.post( reverse( 'settings', kwargs={'username': self.user.username} ), { 'new_password': '??', 'verify_new_password': '??' } ) # redirects with error message self.assertEqual(response.status_code, 302) def test_can_change_username(self): response = self.client.post( reverse( 'settings', kwargs={'username': self.user.username} ), { 'new_username': 'tested' } ) # redirects with success message self.assertEqual(response.status_code, 302) def test_can_change_username_null_error(self): response = self.client.post( reverse( 'settings', kwargs={'username': self.user.username} ), { 'new_username': '' } ) # redirects with error message self.assertEqual(response.status_code, 302) def test_can_change_username_special_characters_error(self): response = self.client.post( reverse( 'settings', kwargs={'username': self.user.username} ), { 'new_username': '??' } ) # redirects with error message self.assertEqual(response.status_code, 302) def test_can_set_frequency(self): response = self.client.post( reverse( 'settings', kwargs={'username': self.user.username} ), { 'frequency': 'daily' } ) # redirects with success message self.assertEqual(response.status_code, 302)
31.748571
77
0.569114
547
5,556
5.605119
0.164534
0.068493
0.067841
0.093281
0.798761
0.783431
0.742661
0.690476
0.665036
0.621331
0
0.012682
0.318755
5,556
174
78
31.931034
0.797358
0.037257
0
0.56338
0
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0.114024
0.008238
0
0
0
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0.091549
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0.119718
false
0.140845
0.021127
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0.169014
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0
4
9f6eb3b9df84234d0f6c3be136c8e8e46a4f6a56
292
py
Python
lovage/utils.py
CloudSnorkel/lovage
6596fc2fd7fad6ae5b50c1fb55d299d8fc17278d
[ "MIT" ]
8
2020-01-25T21:40:26.000Z
2020-06-12T16:32:50.000Z
lovage/utils.py
CloudSnorkel/lovage
6596fc2fd7fad6ae5b50c1fb55d299d8fc17278d
[ "MIT" ]
3
2020-04-29T04:55:32.000Z
2021-04-25T05:02:18.000Z
lovage/utils.py
CloudSnorkel/lovage
6596fc2fd7fad6ae5b50c1fb55d299d8fc17278d
[ "MIT" ]
null
null
null
import os def is_in_cloud(): """ Checks if this code is running in a deployed Lovage stack. Useful when you have to initialize global variables only in deployed code. :return: True if running in AWS/GCP/Azure/etc. """ return os.getenv("LOVAGE_IN_CLOUD", "0") == "1"
26.545455
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0.674658
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0.717391
0.072539
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0.00885
0.226027
292
10
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29.2
0.845133
0.616438
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4
9f87a8a2bfda4be87466e9593c38dcf6ce71e656
154,116
py
Python
pybandit/optproblems/cec2005/unimodal.py
chunjenpeng/pyBandit
df14bf0cc263d8fa0ad0a539e94327ac35e33d1c
[ "MIT" ]
1
2018-07-12T08:30:44.000Z
2018-07-12T08:30:44.000Z
pybandit/optproblems/cec2005/unimodal.py
PENGChunJen/pyBandit
df14bf0cc263d8fa0ad0a539e94327ac35e33d1c
[ "MIT" ]
null
null
null
pybandit/optproblems/cec2005/unimodal.py
PENGChunJen/pyBandit
df14bf0cc263d8fa0ad0a539e94327ac35e33d1c
[ "MIT" ]
null
null
null
import random import math import numpy as np from optproblems.base import Individual, BoundConstraintsChecker, TestProblem from optproblems.continuous import doublesum, EllipsoidFunction, sphere class F1(TestProblem): """Shifted sphere.""" bias = -450.0 offsets = [-39.3119, 58.8999, -46.3224, -74.6515, -16.7997, -80.5441, -10.5935, 24.9694, 89.8384, 9.1119, -10.7443, -27.8558, -12.5806, 7.593, 74.8127, 68.4959, -53.4293, 78.8544, -68.5957, 63.7432, 31.347, -37.5016, 33.8929, -88.8045, -78.7719, -66.4944, 44.1972, 18.3836, 26.5212, 84.4723, 39.1769, -61.4863, -25.6038, -81.1829, 58.6958, -30.8386, -72.6725, 89.9257, -15.1934, -4.3337, 5.343, 10.5603, -77.7268, 52.0859, 40.3944, 88.3328, -55.8306, 1.3181, 36.025, -69.9271, -8.6279, -56.8944, 85.1296, 17.6736, 6.1529, -17.6957, -58.9537, 30.3564, 15.9207, -18.0082, 80.6411, -42.3912, 76.2776, -50.1652, -73.5736, 28.3369, -57.9905, -22.7327, 52.0269, 39.2599, 10.8679, 77.8207, 66.0395, -50.0667, 55.7063, 73.7141, 38.5296, -56.7865, -89.6477, 37.9576, 29.472, -35.4641, -31.7868, 77.3235, 54.7906, -48.2794, 74.2714, 72.6103, 62.964, -14.1446, 20.4923, 46.5897, -83.6021, -46.4809, 83.7373, -79.6611, 24.3479, -17.2303, 72.3404, -36.4022] def __init__(self, num_variables, phenome_preprocessor=None, **kwargs): self.is_deterministic = True self.do_maximize = False self.num_variables = num_variables self.min_bounds = [-100.0] * num_variables self.max_bounds = [100.0] * num_variables bounds = (self.min_bounds, self.max_bounds) preprocessor = BoundConstraintsChecker(bounds, phenome_preprocessor) TestProblem.__init__(self, self.objective_function, phenome_preprocessor=preprocessor, **kwargs) def objective_function(self, phenome): phenome = [phene - offset for offset, phene in zip(self.offsets, phenome)] assert len(phenome) == self.num_variables obj_value = sphere(phenome) + self.bias return obj_value def get_optimal_solutions(self, max_number=None): return [Individual(self.offsets[:self.num_variables])] class F2(TestProblem): """Shifted double-sum.""" bias = -450.0 offsets = [35.6267, -82.9123, -10.6423, -83.5815, 83.1552, 47.048, -89.4359, -27.4219, 76.1448, -39.0595, 48.8857, -3.9828, -71.9243, 64.1947, -47.7338, -5.9896, -26.2828, -59.1811, 14.6028, -85.478, -50.4901, 0.924, 32.3978, 30.2388, -85.0949, 60.1197, -36.2183, -8.5883, -5.1971, 81.5531, -23.4316, -25.3505, -41.2485, 8.8018, -24.2222, -87.9807, 78.0473, -48.0528, 14.0177, -36.6405, 12.2168, 18.1449, -64.5647, -84.8493, -76.6088, -1.7042, -36.0761, 37.0336, 18.4431, -64.359, -39.3692, -17.714, 30.1985, -18.5483, 9.6866, 82.6009, -45.5256, 5.1443, 74.204, 66.8103, -63.4704, 13.0329, -5.6878, 29.5271, -0.4353, -26.1652, -6.6847, -80.2291, -29.5815, 82.0422, 77.177, -11.277, 32.0759, -2.6858, 81.5096, 64.077, -26.1294, -84.782, -62.8768, -37.6355, 76.8916, 53.417, -25.3311, -38.0702, -84.1738, -11.2246, -83.4619, -17.5508, -36.5285, 89.5528, 25.8794, 68.6252, 55.7968, -29.5975, -58.0976, 65.7413, -8.8703, -5.3281, 74.0661, 4.0338] def __init__(self, num_variables, phenome_preprocessor=None, **kwargs): self.is_deterministic = True self.do_maximize = False self.num_variables = num_variables self.min_bounds = [-100.0] * num_variables self.max_bounds = [100.0] * num_variables bounds = (self.min_bounds, self.max_bounds) preprocessor = BoundConstraintsChecker(bounds, phenome_preprocessor) TestProblem.__init__(self, self.objective_function, phenome_preprocessor=preprocessor, **kwargs) def objective_function(self, phenome): phenome = [phene - offset for offset, phene in zip(self.offsets, phenome)] assert len(phenome) == self.num_variables obj_value = doublesum(phenome) + self.bias return obj_value def get_optimal_solutions(self, max_number=None): return [Individual(self.offsets[:self.num_variables])] class F3(TestProblem): """Shifted rotated high conditioned elliptic function.""" bias = -450.0 offsets = [-32.2013, 64.9776, -38.3, -23.2582, -54.0088, 86.6286, -6.3009, -49.3644, 5.3499, 52.2418, -13.3643, 73.1263, -8.5691, -20.4915, -60.1487, 16.0884, -78.3319, 70.0387, -6.8521, -64.797, 65.4005, -26.0233, -33.8757, 51.5893, 27.6427, -69.4485, 25.5123, -59.0782, -66.5481, -51.2733, -81.776, -71.6572, 37.081, -63.4248, -64.7785, 31.5299, 18.5387, 9.8342, -0.6037, 1.7346, 70.1605, -82.0391, -42.7368, -83.593, -85.0255, 41.1773, 4.1649, -13.4505, -0.31, -38.7944, 71.2702, 65.532, 8.7753, -55.4691, -20.6252, 22.2901, 13.6798, 65.6745, 75.8418, 27.8926, -15.0616, -17.3036, 57.9346, -86.6326, 65.0596, 47.3884, 29.166, 65.5435, 3.4643, -39.814, 18.2261, 77.0446, 62.1882, -11.4, -10.6218, 70.1276, -40.8673, -24.4451, 52.1398, -10.5136, 29.2399, 2.1705, 44.0863, 81.7943, 80.0466, 88.3266, 16.6098, -50.2573, -71.6993, 71.5368, 61.4273, -3.6739, 77.9428, -22.3294, 64.7634, -74.2823, 14.1899, 37.8473, -77.7129, 28.9959] matrix2D = np.array([[-0.9838884637416794, 0.17878336308515416], [0.1787833630851541, 0.9838884637416795]]) matrix10D = np.array([[0.17830682721057345, 0.05578633058716659, 0.4759190557666973, 0.24551129863391566, 0.31998625926387086, 0.3210200144836385, 0.027787561319902176, 0.2666400104677562, 0.41568009651337917, -0.47771934552669726], [0.6351636285946867, 0.05009142383664624, 0.20110601384121973, -0.6807688241663351, -0.049934546553907944, -0.04639942342458296, -0.19460194646748039, 0.18961539926194687, -0.019416259626804547, 0.10639981029473855], [0.32762147366023187, 0.36016598714114556, -0.2363565509404495, -0.01856685401744485, -0.24479096747593634, 0.44818973341886903, 0.5351863573361957, -0.3120692519053052, -0.13863719921728737, -0.20713981146209595], [-0.06478321058798428, -0.49424101683695937, 0.13101175297435969, 0.03161517193119454, -0.1750610791487186, 0.6890803934491838, 0.010544234469094992, 0.21948984793273507, -0.16468539805844565, 0.3904855051851341], [-0.2764804478537137, 0.1138311450612022, -0.30818401502810994, -0.3595940710443874, 0.2644625803470219, 0.0286167883791575, 0.47528027904995646, 0.4099399404977017, 0.4113104336891543, 0.2289934518888688], [0.15454249061641606, 0.54899186274158, -0.1838202994179226, 0.3394446190390916, 0.285961887742557, 0.12833167642713417, -0.25495080172376317, 0.394607523020371, -0.3452464027000741, 0.2959031832336851], [-0.05190797769001451, -0.1445075780970033, -0.46086919626114314, -0.05368796481836808, -0.36317793499109247, 0.027439997038558633, -0.21422629652542946, 0.5054514889308478, -0.09806471701908984, -0.5634699101856451], [0.5014298935446065, -0.5313365904845752, -0.37294385871521135, 0.2337086643138151, 0.4432753766248853, -0.16972740381143742, 0.2036414896333169, -0.023717523924336927, -0.07180545586295492, -0.007333217845033976], [0.10441248047680891, 0.04306422614936954, -0.41675972625940993, 0.016522876074361707, 0.0017437281849141879, 0.2959494487903076, -0.5119748773936874, -0.3267981976235789, 0.5825310659093351, 0.13204141339826148], [-0.2964590765763169, -0.031303011496605505, -0.0780091540821166, -0.41548534874482024, 0.5695940357244347, 0.2909519840034815, -0.18560717510075503, -0.24653488847859115, -0.3714902508547979, -0.30015617693118707]]) matrix30D = np.array([[0.10164957261764876, 0.28907203592317565, -0.28676502138024335, 0.1218656189849876, 0.005564508600170918, -0.22303152232011716, -0.1947278015668383, -0.1187111843571265, 0.13820926976639555, -0.03782856975350359, 0.3145503195435482, 0.04487983403959616, 0.12570115974584642, 0.21140455372781417, -0.39649477833532365, 0.21679987185764366, 0.1734433978156879, 0.05205633230714463, -0.2286556716275806, -0.1724263688476806, -0.018765349832665177, -0.2450977619662135, -0.042909543123452715, 0.08520392393757856, -0.0028073675525156255, -0.2694346492544198, 0.204261606401297, -0.07730857500700167, 0.12110828066102342, -0.04171193079104835], [-0.06356688128738831, -0.06366532526403493, -0.09861259546241607, -0.10014364585581643, -0.14493349141275022, -0.041766780198875544, 0.36929813921174637, 0.11774688957741393, 0.19505102110413464, 0.10671307555259535, 0.1088859352715337, -0.22768051668524378, 0.019400190759083166, -0.1133194666552539, -0.08575427185145576, 0.1868394788471477, -0.2154077357793683, -0.27527136459375956, -0.24996069817518474, -0.043423348482698, 0.21024671926158417, 0.0006398686130767, 0.39221941156458107, 0.11354160173324693, -0.376237262492889, 0.011874606989760618, -0.10259435399326221, 0.17356454384129819, 0.10525158160810666, -0.1991314037147829], [0.1716067566418046, -0.039406430050305384, 0.11335061164399883, -0.4007898331836075, 0.0025266241235494162, -0.00865890279827147, 0.1396817679586794, 0.05395086229230797, 0.453574017608888, 0.27416554845722513, -0.20120102931824305, 0.10786018168385161, 0.11215507852777834, -0.08522175632536345, -0.036565694622393584, 0.07681600872811145, 0.08386159939400979, 0.25854807960750176, -0.010666415655920922, -0.05266368870433495, 0.046050815312167294, -0.2874335398245715, -0.022690225101958856, -0.036380368816751676, 0.28497320149377114, 0.20056353219635795, 0.27387241616454305, 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-0.11924100069186716, -0.2927652021376737, -0.10684861782185531, 0.17911088040947595, -0.11649462309081006]]) def __init__(self, num_variables, phenome_preprocessor=None, **kwargs): self.is_deterministic = True self.do_maximize = False self.num_variables = num_variables self.min_bounds = [-100.0] * num_variables self.max_bounds = [100.0] * num_variables self.matrices = dict() self.matrices[2] = self.matrix2D self.matrices[10] = self.matrix10D self.matrices[30] = self.matrix30D self.matrices[50] = self.matrix50D self.ellipsoid_function = EllipsoidFunction(1.0e6) bounds = (self.min_bounds, self.max_bounds) preprocessor = BoundConstraintsChecker(bounds, phenome_preprocessor) TestProblem.__init__(self, self.objective_function, phenome_preprocessor=preprocessor, **kwargs) def objective_function(self, phenome): phenome = np.array([phene - offset for offset, phene in zip(self.offsets, phenome)]) phenome = np.dot(phenome, self.matrices[self.num_variables]) assert len(phenome) == self.num_variables obj_value = self.ellipsoid_function(phenome) + self.bias return obj_value def get_optimal_solutions(self, max_number=None): return [Individual(self.offsets[:self.num_variables])] class F4(F2): """Shifted double-sum with noise.""" def __init__(self, num_variables, phenome_preprocessor=None, **kwargs): F2.__init__(self, num_variables, phenome_preprocessor, **kwargs) self.is_deterministic = False def objective_function(self, phenome): obj_value = F2.objective_function(self, phenome) - self.bias #obj_value *= (1.0 + 0.4 * random.gauss(0, 1)) obj_value *= (1.0 + 0.4 * abs(random.gauss(0, 1))) obj_value += self.bias return obj_value class F5(TestProblem): """Schwefel's problem 2.6 with global optimum on bounds.""" bias = -310.0 offsets = [-5.5559, 7.947, -1.538, 8.3897, 7.7182, -8.3147, -2.1423, -2.4392, -3.3787, -7.3047, 3.058, 6.7613, 2.3444, 5.6514, 1.0491, -0.8324, 1.3039, -0.0651, 0.0424, -6.5176, -8.6977, 2.7053, -1.4842, -8.8158, 5.6475, -4.5999, 3.6337, -6.4068, 4.8867, 8.2225, 6.6873, -5.8862, 2.5925, 0.8027, 7.5525, 4.2621, 3.5091, -2.6055, -8.4063, 6.1947, -6.5024, -8.144, -4.8444, 3.1572, 3.9624, -8.4969, 6.2642, 1.1448, 3.9132, 3.614, -8.4785, 0.2955, 3.5597, -5.5854, -8.9173, 4.0627, 8.387, -3.768, 5.9001, 3.8212, -6.4771, 6.8886, -2.4951, 2.5007, 1.3866, -7.3488, -1.5349, 2.9223, 7.1813, -4.799, 8.3061, -8.7911, -6.3035, -6.1222, 5.7116, 7.4369, 6.1738, -7.1118, 3.7062, 6.1274,1.3696, -4.5894, 4.5844, -1.2133, 4.18, 0.3337, 7.3355, 8.16, 1.4422, 7.9909, -8.1183, -6.8285, -2.9079, 0.2028, -6.2375, 0.1294, 0.1474, 2.6981, 0.4233, 6.1942] A = np.array([[-89.0, -28.0, -73.0, 49.0, 50.0, 81.0, 21.0, -22.0, -35.0, 74.0, 62.0, 18.0, 16.0, 6.0, 94.0, 58.0, -83.0, 70.0, -5.0, -16.0, 80.0, -67.0, -7.0, -20.0, -27.0, 75.0, -9.0, -24.0, 73.0, 18.0, 82.0, -44.0, -20.0, -3.0, 72.0, 52.0, 80.0, -11.0, -31.0, 19.0, 91.0, -49.0, -30.0, 64.0, 90.0, 35.0, 72.0, 16.0, 27.0, 36.0, -46.0, 74.0, -35.0, 36.0, 63.0, 46.0, -73.0, 73.0, 38.0, 89.0, -68.0, -43.0, 98.0, 57.0, 70.0, -15.0, -59.0, 2.0, -29.0, 55.0, 31.0, 29.0, -59.0, 31.0, -11.0, 18.0, 47.0, 87.0, 72.0, 44.0, -55.0, -55.0, 93.0, 57.0, 95.0, -24.0, 15.0, 2.0, 60.0, -79.0, 33.0, -25.0, -63.0, 36.0, 93.0, -87.0, 37.0, -33.0, -61.0, 24.0], [8.0, -23.0, -1.0, -98.0, -94.0, -53.0, -85.0, 92.0, 57.0, 77.0, 41.0, -39.0, 96.0, -61.0, 97.0, -62.0, -84.0, -99.0, -74.0, 15.0, 61.0, 87.0, -77.0, -71.0, 64.0, 12.0, -76.0, -18.0, 27.0, 15.0, 24.0, 58.0, -68.0, -32.0, 26.0, -65.0, -45.0, -76.0, -42.0, 5.0, 97.0, 5.0, -22.0, -53.0, -48.0, -61.0, 77.0, 82.0, -18.0, 58.0, -81.0, 79.0, -91.0, -6.0, -58.0, 26.0, -80.0, -50.0, -63.0, -14.0, 33.0, 82.0, -35.0, 16.0, 9.0, -24.0, -73.0, -50.0, -5.0, -5.0, 24.0, -76.0, -32.0, -7.0, 28.0, -63.0, 13.0, 73.0, -59.0, -98.0, -83.0, 56.0, -69.0, 14.0, -7.0, 47.0, 85.0, -72.0, -29.0, -3.0, 79.0, 91.0, -87.0, -27.0, -17.0, -48.0, -11.0, -58.0, 49.0, -26.0], [-28.0, 49.0, -9.0, 80.0, 50.0, -53.0, -9.0, -83.0, -71.0, 3.0, 65.0, 31.0, -39.0, -42.0, 53.0, -79.0, -83.0, -69.0, -94.0, 41.0, -21.0, -17.0, 88.0, -63.0, -97.0, -62.0, 45.0, 89.0, 15.0, -27.0, 96.0, -79.0, -99.0, -96.0, -49.0, 97.0, -38.0, -33.0, -3.0, 66.0, -8.0, -32.0, -8.0, -39.0, -52.0, 82.0, -26.0, 50.0, 13.0, 93.0, -94.0, 30.0, 43.0, 21.0, 13.0, -53.0, -30.0, 94.0, 72.0, 59.0, 75.0, -89.0, -65.0, 34.0, 2.0, -58.0, -53.0, 8.0, -18.0, -22.0, 54.0, -58.0, 41.0, 52.0, -79.0, 49.0, -33.0, 93.0, -5.0, 91.0, -15.0, -59.0, -39.0, 24.0, 27.0, 98.0, -28.0, 26.0, 41.0, 50.0, -46.0, 38.0, -93.0, 0.0, 57.0, -73.0, 27.0, -38.0, 69.0, 25.0], [33.0, 59.0, 87.0, 40.0, 37.0, 68.0, -54.0, -97.0, 21.0, 75.0, 75.0, 46.0, -25.0, -31.0, 65.0, -96.0, -46.0, 77.0, -98.0, 3.0, 46.0, -48.0, 53.0, 65.0, 45.0, -43.0, 22.0, 96.0, -53.0, 99.0, -26.0, 97.0, 91.0, 83.0, -33.0, -93.0, -73.0, 32.0, 8.0, -81.0, -92.0, -24.0, 63.0, 12.0, -75.0, 77.0, -51.0, -86.0, 35.0, -34.0, 13.0, 39.0, 92.0, 79.0, -82.0, -12.0, 7.0, 0.0, 75.0, 91.0, -65.0, 24.0, 43.0, 69.0, 71.0, 40.0, -2.0, 44.0, 4.0, 89.0, 91.0, 50.0, 30.0, 64.0, -2.0, 87.0, -65.0, 98.0, 25.0, 12.0, -97.0, -70.0, -69.0, -52.0, 86.0, -48.0, 19.0, 29.0, -9.0, -71.0, -45.0, -48.0, -54.0, -24.0, -68.0, -40.0, 71.0, -49.0, -47.0, 81.0], [39.0, 35.0, 8.0, -43.0, 82.0, 67.0, -58.0, 22.0, -98.0, 68.0, -20.0, -29.0, 11.0, 70.0, 77.0, 72.0, 24.0, -14.0, -83.0, -82.0, 96.0, 12.0, -78.0, -65.0, -26.0, -74.0, -83.0, -49.0, -91.0, 35.0, -99.0, 16.0, -68.0, 83.0, -10.0, -72.0, 7.0, 5.0, -79.0, 35.0, -69.0, 81.0, 22.0, -12.0, -73.0, 39.0, 72.0, 24.0, 4.0, 61.0, -47.0, 87.0, -31.0, 89.0, 1.0, 91.0, 64.0, 56.0, -39.0, -54.0, -99.0, 71.0, 93.0, -2.0, -48.0, 48.0, 65.0, -81.0, 53.0, 28.0, 35.0, 13.0, 92.0, 82.0, -63.0, -49.0, -85.0, 26.0, -51.0, 23.0, -54.0, 93.0, 45.0, 13.0, -92.0, 34.0, -67.0, 49.0, 24.0, 21.0, -83.0, -5.0, 69.0, -58.0, -20.0, 70.0, 87.0, 31.0, -79.0, 61.0], [51.0, 80.0, 4.0, -28.0, -46.0, 22.0, -44.0, 33.0, -57.0, -39.0, -37.0, 74.0, 47.0, 60.0, -83.0, 84.0, -77.0, -95.0, -47.0, -43.0, 17.0, 0.0, 11.0, 68.0, 4.0, 36.0, 56.0, 52.0, 26.0, 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15.0, 39.0, -50.0, 65.0, -23.0, -4.0, -22.0, -83.0, -66.0, -68.0, 81.0, 85.0, -76.0, 7.0], [-2.0, 35.0, 27.0, 36.0, -44.0, 3.0, -84.0, 33.0, 71.0, -71.0, 56.0, 66.0, 49.0, -70.0, -86.0, 67.0, 77.0, 93.0, 80.0, -5.0, 98.0, -82.0, 58.0, -38.0, -70.0, -32.0, -46.0, 40.0, -7.0, -65.0, 63.0, 10.0, 58.0, 36.0, -6.0, -12.0, 41.0, 79.0, 31.0, -15.0, 46.0, -12.0, 54.0, 90.0, 43.0, 4.0, -85.0, 23.0, -59.0, 52.0, 93.0, -71.0, -61.0, -3.0, -81.0, 5.0, 54.0, -58.0, 70.0, 48.0, 56.0, -37.0, 21.0, 94.0, -44.0, 31.0, -62.0, -83.0, 49.0, 12.0, -96.0, 71.0, -4.0, 76.0, 97.0, -39.0, 62.0, 80.0, 33.0, -52.0, -34.0, -23.0, 7.0, -84.0, -69.0, 99.0, 38.0, 24.0, -30.0, -84.0, -94.0, 13.0, 6.0, 33.0, -21.0, 12.0, 67.0, -11.0, 33.0, 3.0], [19.0, -28.0, -47.0, -94.0, 53.0, 52.0, 29.0, 59.0, -44.0, 14.0, -15.0, -35.0, -70.0, -42.0, 44.0, 46.0, -72.0, 34.0, 4.0, 35.0, 47.0, -61.0, 9.0, 39.0, -69.0, 14.0, -72.0, -12.0, 9.0, 91.0, 73.0, 14.0, 24.0, -4.0, 42.0, -14.0, 4.0, 80.0, -30.0, 76.0, 29.0, 25.0, 40.0, 16.0, -12.0, 44.0, 57.0, -80.0, 51.0, 43.0, 14.0, -59.0, 73.0, -64.0, 91.0, -88.0, -93.0, 96.0, 56.0, -21.0, -96.0, -26.0, 82.0, -42.0, 13.0, -48.0, -15.0, -23.0, 45.0, 35.0, 81.0, -3.0, 28.0, 27.0, 34.0, -70.0, 49.0, 18.0, 14.0, 90.0, 100.0, -66.0, 23.0, -95.0, -8.0, 98.0, -63.0, -76.0, 4.0, -58.0, 57.0, -43.0, 34.0, 50.0, -16.0, 97.0, 71.0, 15.0, 63.0, -55.0], [16.0, -26.0, 52.0, -4.0, -65.0, -11.0, -97.0, -80.0, 18.0, -64.0, -93.0, 69.0, 56.0, 91.0, -44.0, -71.0, -49.0, 30.0, -32.0, -83.0, -34.0, 40.0, 83.0, 15.0, 26.0, 82.0, 6.0, 57.0, 80.0, 68.0, 2.0, -88.0, -7.0, 7.0, -15.0, 55.0, 96.0, -6.0, 80.0, -72.0, 78.0, -41.0, 84.0, -7.0, 2.0, -72.0, 50.0, 31.0, -5.0, -86.0, -19.0, 75.0, -26.0, -4.0, 6.0, 57.0, 56.0, -66.0, -30.0, -68.0, 92.0, -19.0, -23.0, 57.0, 78.0, 23.0, -67.0, 66.0, -36.0, -89.0, 23.0, -7.0, 71.0, -55.0, 49.0, -54.0, 89.0, -71.0, -85.0, 90.0, -21.0, -42.0, 70.0, 9.0, -75.0, -92.0, 86.0, -11.0, 66.0, -10.0, 39.0, 88.0, -4.0, 88.0, 73.0, 15.0, 83.0, -50.0, 94.0, 60.0], 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self.do_maximize = False self.num_variables = num_variables self.min_bounds = [-100.0] * num_variables self.max_bounds = [100.0] * num_variables bounds = (self.min_bounds, self.max_bounds) preprocessor = BoundConstraintsChecker(bounds, phenome_preprocessor) TestProblem.__init__(self, self.objective_function, phenome_preprocessor=preprocessor, **kwargs) self.offsets = list(F5.offsets) for i in range(num_variables): if i + 1 <= math.ceil(num_variables / 4.0): self.offsets[i] = -100.0 elif i + 1 >= math.floor((3.0 * num_variables) / 4.0): self.offsets[i] = 100.0 self.A = F5.A[0:num_variables, 0:num_variables] self.B = np.dot(self.A, self.offsets[:num_variables]) def objective_function(self, phenome): values = np.dot(self.A, phenome) max_diff = abs(values[0] - self.B[0]) for i in range(self.num_variables): temp = abs(values[i] - self.B[i]) max_diff = max(max_diff, temp) obj_value = max_diff + self.bias return obj_value def get_optimal_solutions(self, max_number=None): return [Individual(self.offsets[:self.num_variables])]
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9fc33dac4e4c95a81c1a476f6d4147cd04617ff5
362
py
Python
three.py/helpers/__init__.py
Michael-Pascale/three.py
9912f5f850245fb9456a25b6737e12290ae54a2d
[ "MIT" ]
null
null
null
three.py/helpers/__init__.py
Michael-Pascale/three.py
9912f5f850245fb9456a25b6737e12290ae54a2d
[ "MIT" ]
null
null
null
three.py/helpers/__init__.py
Michael-Pascale/three.py
9912f5f850245fb9456a25b6737e12290ae54a2d
[ "MIT" ]
null
null
null
from helpers.AxesHelper import * from helpers.GridHelper import * from helpers.BoxHelper import * from helpers.VertexNormalHelper import * from helpers.DirectionalLightHelper import * from helpers.PointLightHelper import * from helpers.OrthographicCameraHelper import * from helpers.Pair import * from helpers.GridGroup import * from helpers.MetaCircle import *
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4c875eb02c7b237a47360adf5bdc726557658410
313
py
Python
py/locdb_v2/__init__.py
skepner/ae
d53336a561df1a46a39debb143c9f9496b222a46
[ "MIT" ]
null
null
null
py/locdb_v2/__init__.py
skepner/ae
d53336a561df1a46a39debb143c9f9496b222a46
[ "MIT" ]
null
null
null
py/locdb_v2/__init__.py
skepner/ae
d53336a561df1a46a39debb143c9f9496b222a46
[ "MIT" ]
null
null
null
from .read import find, find_cdc_abbreviation, country, continent, find_cdc_abbreviation_for_name, location_db, check from .read import LocationNotFound, LocationReplacement from .geonames import geonames, geonames_make_eval from .update import add, add_cdc_abbreviation, add_new_name, add_replacement, fix, save
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4c926272d46886e2916e9a805859dae5a849c1b1
165
py
Python
contacts/forms.py
JoshZero87/site
c8024b805ff5ff0e16f54dce7bf05097fd2f08e0
[ "MIT" ]
4
2017-01-29T00:38:41.000Z
2019-09-04T14:30:24.000Z
contacts/forms.py
JoshZero87/site
c8024b805ff5ff0e16f54dce7bf05097fd2f08e0
[ "MIT" ]
74
2017-10-02T04:42:54.000Z
2022-01-13T00:44:16.000Z
contacts/forms.py
JoshZero87/site
c8024b805ff5ff0e16f54dce7bf05097fd2f08e0
[ "MIT" ]
3
2017-03-24T23:26:46.000Z
2019-10-21T01:16:03.000Z
# -*- coding: utf-8 -*- from __future__ import unicode_literals from django import forms class PhoneOptOutUploadForm(forms.Form): csv_file = forms.FileField()
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4
4ca532226f8bad7121b5d6e41a2fa3f564e18030
2,398
py
Python
tests/test_replace_if_else.py
BBVA/python-etl
f4c0e613792c93fe5833f9d5e670e8fa6cf675da
[ "Apache-2.0" ]
20
2017-11-07T15:09:45.000Z
2021-08-21T00:18:09.000Z
tests/test_replace_if_else.py
BBVA/python-etl
f4c0e613792c93fe5833f9d5e670e8fa6cf675da
[ "Apache-2.0" ]
4
2017-11-21T13:15:30.000Z
2018-01-17T14:06:14.000Z
tests/test_replace_if_else.py
BBVA/python-etl
f4c0e613792c93fe5833f9d5e670e8fa6cf675da
[ "Apache-2.0" ]
9
2017-11-08T10:53:43.000Z
2018-04-20T11:26:29.000Z
# Copyright 2017 BBVA # # 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 datarefinery.TupleOperations import substitution from datarefinery.FieldOperations import replace_if_else def test_empty_input_if_then(): def _fn_cond(x): return x == 0 def _fn_then(x): return x + 1 operation = substitution(["a"], replace_if_else(_fn_cond, _fn_then)) (res, err) = operation(None) assert res is None assert err == {'a': 'a not found'} def test_empty_input_if_then_else(): def _fn_cond(x): return x == 0 def _fn_then(x): return x + 1 def _fn_else(x): return x + 2 operation = substitution(["a"], replace_if_else(_fn_cond, _fn_then, _fn_else)) (res, err) = operation(None) assert res is None assert err == {'a': 'a not found'} def test_cond_true_replace_if_then(): def _fn_cond(x): return x == 0 def _fn_then(x): return x + 1 operation = substitution(["a"], replace_if_else(_fn_cond, _fn_then)) (res, err) = operation({"a": 0}) assert res is not None assert "a" in res assert res["a"] == 1 assert err is None def test_cond_true_replace_if_then_default_else(): def _fn_cond(x): return x == 0 def _fn_then(x): return x + 1 operation = substitution(["a"], replace_if_else(_fn_cond, _fn_then)) (res, err) = operation({"a": 100}) assert res is not None assert "a" in res assert res["a"] == 100 assert err is None def test_cond_false_replace_if_then_else(): def _fn_cond(x): return x == 0 def _fn_then(x): return x + 1 def _fn_else(x): return x + 2 operation = substitution(["a"], replace_if_else(_fn_cond, _fn_then, _fn_else)) (res, err) = operation({"a": 100}) assert res is not None assert "a" in res assert res["a"] == 102 assert err is None
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4
4cda5ab2a5855a5dd64df9f59e8fb1086913048f
1,544
py
Python
tests/test_pressure_pascals.py
putridparrot/PyUnits
4f1095c6fc0bee6ba936921c391913dbefd9307c
[ "MIT" ]
null
null
null
tests/test_pressure_pascals.py
putridparrot/PyUnits
4f1095c6fc0bee6ba936921c391913dbefd9307c
[ "MIT" ]
null
null
null
tests/test_pressure_pascals.py
putridparrot/PyUnits
4f1095c6fc0bee6ba936921c391913dbefd9307c
[ "MIT" ]
null
null
null
# <auto-generated> # This code was generated by the UnitCodeGenerator tool # # Changes to this file will be lost if the code is regenerated # </auto-generated> import unittest import units.pressure.pascals class TestPascalsMethods(unittest.TestCase): def test_convert_known_pascals_to_atmospheres(self): self.assertAlmostEqual(0.88823094, units.pressure.pascals.to_atmospheres(90000.0), places=1) self.assertAlmostEqual(12.18422897, units.pressure.pascals.to_atmospheres(1234567.0), places=1) self.assertAlmostEqual(2.01391562, units.pressure.pascals.to_atmospheres(204060.0), places=1) def test_convert_known_pascals_to_bars(self): self.assertAlmostEqual(0.1, units.pressure.pascals.to_bars(10000.0), places=1) self.assertAlmostEqual(0.12345, units.pressure.pascals.to_bars(12345.0), places=1) self.assertAlmostEqual(0.8, units.pressure.pascals.to_bars(80000.0), places=1) def test_convert_known_pascals_to_torrs(self): self.assertAlmostEqual(600.04935, units.pressure.pascals.to_torrs(80000.0), places=1) self.assertAlmostEqual(9.255761, units.pressure.pascals.to_torrs(1234.0), places=1) self.assertAlmostEqual(0.600049, units.pressure.pascals.to_torrs(80.0), places=1) def test_convert_known_pascals_to_psi(self): self.assertAlmostEqual(0.11603, units.pressure.pascals.to_psi(800.0), places=1) self.assertAlmostEqual(1.257477, units.pressure.pascals.to_psi(8670.0), places=1) self.assertAlmostEqual(0.145038, units.pressure.pascals.to_psi(1000.0), places=1) if __name__ == '__main__': unittest.main()
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4
4cfff5e9e957eded91f80e5133123ea87f0985de
600
py
Python
stations/migrations/0011_auto_20210828_0217.py
dymaxionlabs/satlomas-back
f4568f6535755fd4a2432ecc661a264872206c6c
[ "Apache-2.0" ]
1
2021-02-18T20:11:25.000Z
2021-02-18T20:11:25.000Z
stations/migrations/0011_auto_20210828_0217.py
dymaxionlabs/satlomas-back
f4568f6535755fd4a2432ecc661a264872206c6c
[ "Apache-2.0" ]
7
2020-06-09T14:54:43.000Z
2021-09-22T21:00:13.000Z
stations/migrations/0011_auto_20210828_0217.py
dymaxionlabs/satlomas-back
f4568f6535755fd4a2432ecc661a264872206c6c
[ "Apache-2.0" ]
1
2020-05-08T20:42:49.000Z
2020-05-08T20:42:49.000Z
# Generated by Django 3.1.8 on 2021-08-28 02:17 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('stations', '0010_auto_20210322_2029'), ] operations = [ migrations.RemoveField( model_name='station', name='lat', ), migrations.RemoveField( model_name='station', name='lon', ), migrations.RemoveField( model_name='station', name='place', ), migrations.DeleteModel( name='Place', ), ]
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980eb1c9a13d67b0861cf72a69e8b1aad234bdc7
493
py
Python
cowait/types/__init__.py
backtick-se/cowa
760ddb3ded1b3995bc68f4b74cf28af0c094481f
[ "Apache-2.0" ]
51
2020-06-04T06:08:14.000Z
2022-03-28T06:59:53.000Z
cowait/types/__init__.py
backtick-se/cowa
760ddb3ded1b3995bc68f4b74cf28af0c094481f
[ "Apache-2.0" ]
121
2020-06-01T12:09:32.000Z
2022-03-31T20:47:57.000Z
cowait/types/__init__.py
backtick-se/cowa
760ddb3ded1b3995bc68f4b74cf28af0c094481f
[ "Apache-2.0" ]
6
2020-06-11T16:05:20.000Z
2022-03-23T06:30:17.000Z
# flake8: noqa: F401 from .type import Type from .dict import Dict from .list import List from .custom import CustomType from .simple import Any, String, Int, Float, Bool, DateTime, Void from .mapping import TypeAlias from .utils import typed_arguments, typed_return, \ typed_call, typed_async_call, serialize, deserialize, \ get_parameter_types, get_parameter_defaults, get_return_type, \ type_from_description try: from .numpy import * except ModuleNotFoundError: pass
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e25d3a69f3a4acb190f03d5b162b09186eb9be90
100
py
Python
group_members/apps.py
albertocerrone/The-Bugbuster
b86054617dcf7ec39418b9cda04a968ffc1fc657
[ "CC0-1.0" ]
null
null
null
group_members/apps.py
albertocerrone/The-Bugbuster
b86054617dcf7ec39418b9cda04a968ffc1fc657
[ "CC0-1.0" ]
null
null
null
group_members/apps.py
albertocerrone/The-Bugbuster
b86054617dcf7ec39418b9cda04a968ffc1fc657
[ "CC0-1.0" ]
1
2021-02-04T15:25:39.000Z
2021-02-04T15:25:39.000Z
from django.apps import AppConfig class GroupMembersConfig(AppConfig): name = 'group_members'
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0.78
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100
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e268d3a6265b7e9c7c77c5a1d38361d0c6b4043d
286
py
Python
examples/checkpointing/checkpoint.py
reguly/devito
543b7be41ddbf1faa90224cca3824767756c9390
[ "MIT" ]
204
2020-01-09T11:27:58.000Z
2022-03-20T22:53:37.000Z
examples/checkpointing/checkpoint.py
reguly/devito
543b7be41ddbf1faa90224cca3824767756c9390
[ "MIT" ]
949
2016-04-25T11:41:34.000Z
2019-12-27T10:43:40.000Z
examples/checkpointing/checkpoint.py
reguly/devito
543b7be41ddbf1faa90224cca3824767756c9390
[ "MIT" ]
131
2020-01-08T17:43:13.000Z
2022-03-27T11:36:47.000Z
from devito import warning warning("""The location of Devito's checkpointing has changed. This location will be deprecated soon. Please change your imports to 'from devito import DevitoCheckpoint, CheckpointOperato'""") from devito.checkpointing import * # noqa
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7
85
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4
e276fef972c635fb1863ab495f3ca47af0250a04
846
py
Python
hackerrank/Algorithms/Two Strings/test.py
ATrain951/01.python-com_Qproject
c164dd093954d006538020bdf2e59e716b24d67c
[ "MIT" ]
4
2020-07-24T01:59:50.000Z
2021-07-24T15:14:08.000Z
hackerrank/Algorithms/Two Strings/test.py
ATrain951/01.python-com_Qproject
c164dd093954d006538020bdf2e59e716b24d67c
[ "MIT" ]
null
null
null
hackerrank/Algorithms/Two Strings/test.py
ATrain951/01.python-com_Qproject
c164dd093954d006538020bdf2e59e716b24d67c
[ "MIT" ]
null
null
null
import unittest import solution class TestQ(unittest.TestCase): def test_case_0(self): self.assertEqual(solution.twoStrings('hello', 'world'), 'YES') self.assertEqual(solution.twoStrings('hi', 'world'), 'NO') def test_case_1(self): self.assertEqual(solution.twoStrings('wouldyoulikefries', 'abcabcabcabcabcabc'), 'NO') self.assertEqual(solution.twoStrings('hackerrankcommunity', 'cdecdecdecde'), 'YES') self.assertEqual(solution.twoStrings('jackandjill', 'wentupthehill'), 'YES') self.assertEqual(solution.twoStrings('writetoyourparents', 'fghmqzldbc'), 'NO') def test_case_2(self): self.assertEqual(solution.twoStrings('aardvark', 'apple'), 'YES') self.assertEqual(solution.twoStrings('beetroot', 'sandals'), 'NO') if __name__ == '__main__': unittest.main()
35.25
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4
e2a75b55d8e1a006e03744d549dfb213e6246585
315
py
Python
resources/mgltools_x86_64Linux2_1.5.6/lib/python2.5/site-packages/SimPy/Monitor.py
J-E-J-S/aaRS-Pipeline
43f59f28ab06e4b16328c3bc405cdddc6e69ac44
[ "MIT" ]
null
null
null
resources/mgltools_x86_64Linux2_1.5.6/lib/python2.5/site-packages/SimPy/Monitor.py
J-E-J-S/aaRS-Pipeline
43f59f28ab06e4b16328c3bc405cdddc6e69ac44
[ "MIT" ]
null
null
null
resources/mgltools_x86_64Linux2_1.5.6/lib/python2.5/site-packages/SimPy/Monitor.py
J-E-J-S/aaRS-Pipeline
43f59f28ab06e4b16328c3bc405cdddc6e69ac44
[ "MIT" ]
null
null
null
#!/usr/bin/env python # $Revision: 1.1.1.12 $ $Date: 2007/01/08 14:40:09 $ kgm """Monitor 1.8 This dummy module is only provided for backward compatibility. It does nothing. class Monitor is now part of Simulation and SimulationXXX.""" __version__ ='1.8 $Revision: 1.1.1.12 $ $Date: 2007/01/08 14:40:09 $' pass
39.375
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0.701587
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315
3.807018
0.666667
0.036866
0.092166
0.101382
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7
79
45
0.655431
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4
2c7ca29398660625762ee604ac228bf83f7d19ed
211
py
Python
Hackerrank/Practice/Python/4.sets/33.Set .union() Operation.py
kushagra1212/Competitive-Programming
5b68774c617d6abdf1b29893b1b13d47f62161e8
[ "MIT" ]
994
2017-02-28T06:13:47.000Z
2022-03-31T10:49:00.000Z
Hackerrank_python/4.sets/33.Set .union() Operation.py
devesh17m/Competitive-Programming
2d459dc8dc5ac628d94700b739988b0ea364cb71
[ "MIT" ]
16
2018-01-01T02:59:55.000Z
2021-11-22T12:49:16.000Z
Hackerrank_python/4.sets/33.Set .union() Operation.py
devesh17m/Competitive-Programming
2d459dc8dc5ac628d94700b739988b0ea364cb71
[ "MIT" ]
325
2017-06-15T03:32:43.000Z
2022-03-28T22:43:42.000Z
# Enter your code here. Read input from STDIN. Print output to STDOUT n=int(input()) roll_n=set(map(int,input().split())) m=int(input()) roll_m=set(map(int,input().split())) s=roll_n|roll_m print(len(s))
26.375
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0.682464
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211
3.5
0.525
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0.123223
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7
71
30.142857
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0
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4
2c8a567ee3c913800f389798961dd9ff34cbf047
86
py
Python
fee/apps.py
masoodazhar/-school-management-system
6525b3d29d12f03e05d362d81b7c5855806f57d9
[ "Apache-2.0" ]
1
2022-01-20T10:20:05.000Z
2022-01-20T10:20:05.000Z
fee/apps.py
masoodazhar/-school-management-system
6525b3d29d12f03e05d362d81b7c5855806f57d9
[ "Apache-2.0" ]
null
null
null
fee/apps.py
masoodazhar/-school-management-system
6525b3d29d12f03e05d362d81b7c5855806f57d9
[ "Apache-2.0" ]
1
2022-01-20T10:20:31.000Z
2022-01-20T10:20:31.000Z
from django.apps import AppConfig class FeeConfig(AppConfig): name = 'fee'
14.333333
34
0.686047
10
86
5.9
0.9
0
0
0
0
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0.232558
86
5
35
17.2
0.893939
0
0
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1
0
false
0
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1
0
1
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null
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1
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0
0
0
1
0
1
0
0
4
2c8ca17fd08b88b5ff16483af20e1c8e49f80541
107
py
Python
series_tiempo_ar_api/apps/api/apps.py
datosgobar/series-tiempo-ar-api
6b553c573f6e8104f8f3919efe79089b7884280c
[ "MIT" ]
28
2017-12-16T20:30:52.000Z
2021-08-11T17:35:04.000Z
series_tiempo_ar_api/apps/api/apps.py
datosgobar/series-tiempo-ar-api
6b553c573f6e8104f8f3919efe79089b7884280c
[ "MIT" ]
446
2017-11-16T15:21:40.000Z
2021-06-10T20:14:21.000Z
series_tiempo_ar_api/apps/api/apps.py
datosgobar/series-tiempo-ar-api
6b553c573f6e8104f8f3919efe79089b7884280c
[ "MIT" ]
12
2018-08-23T16:13:32.000Z
2022-03-01T23:12:28.000Z
from django.apps import AppConfig class ApiConfig(AppConfig): name = 'series_tiempo_ar_api.apps.api'
17.833333
42
0.775701
15
107
5.333333
0.8
0
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0.140187
107
5
43
21.4
0.869565
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0.271028
0
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false
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1
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null
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0
1
0
1
0
0
4
2c928c45591400d31187e58899e10c252587ee7a
77
py
Python
tests/sphinx.py
theboyslush/mila
274da1d3c7e7e4385fa58eb6aebd24c5ef7fed4d
[ "MIT" ]
23
2021-01-01T16:57:01.000Z
2022-03-04T18:22:40.000Z
tests/sphinx.py
gangapurambhargav/baks
89a129ebb3cfed08c1d075b6d6ab3ee209610ca9
[ "MIT" ]
null
null
null
tests/sphinx.py
gangapurambhargav/baks
89a129ebb3cfed08c1d075b6d6ab3ee209610ca9
[ "MIT" ]
23
2021-01-05T08:24:08.000Z
2022-03-25T08:08:18.000Z
from pocketsphinx import LiveSpeech for phrase in LiveSpeech(): print(phrase)
38.5
41
0.831169
10
77
6.4
0.8
0
0
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0.103896
77
2
41
38.5
0.927536
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1
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false
0
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0.5
1
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null
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0
0
0
1
0
0
1
0
4
2ca110e263d8a037e41ff214f53722a2cb408b3f
202
py
Python
zaptools/__init__.py
NathanDraco22/zap-adapter-python
5b47a21f83f5379365e5d69656f924a36ed7fb79
[ "MIT" ]
1
2022-02-26T03:10:37.000Z
2022-02-26T03:10:37.000Z
zaptools/__init__.py
NathanDraco22/py-zaptools
5b47a21f83f5379365e5d69656f924a36ed7fb79
[ "MIT" ]
null
null
null
zaptools/__init__.py
NathanDraco22/py-zaptools
5b47a21f83f5379365e5d69656f924a36ed7fb79
[ "MIT" ]
null
null
null
__all__ = ["EventRegister", "FastApiZapAdapter", "SocketClient"] from .EventRegister import EventRegister from .FastApi.Adapter import FastApiZapAdapter from .FastApi.FastApiAdapter import SocketClient
40.4
64
0.836634
18
202
9.166667
0.5
0.133333
0
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0.084158
202
5
65
40.4
0.891892
0
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0.206897
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false
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null
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1
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4
2cbf50d0abba2af172183c18ed7990a3d3b3f9bb
123
py
Python
FUNDAMENTALS_MODULE/Basic_Syntax_Conditional_Statements_and_Loops/EXERCISE/01_Jennys_Secret_Message.py
sleepychild/ProgramingBasicsPython
d96dc4662adc1c8329b731b9c9b7fa4ecf69ec16
[ "MIT" ]
null
null
null
FUNDAMENTALS_MODULE/Basic_Syntax_Conditional_Statements_and_Loops/EXERCISE/01_Jennys_Secret_Message.py
sleepychild/ProgramingBasicsPython
d96dc4662adc1c8329b731b9c9b7fa4ecf69ec16
[ "MIT" ]
1
2022-01-15T10:33:56.000Z
2022-01-15T10:33:56.000Z
FUNDAMENTALS_MODULE/Basic_Syntax_Conditional_Statements_and_Loops/EXERCISE/01_Jennys_Secret_Message.py
sleepychild/ProgramingBasicsPython
d96dc4662adc1c8329b731b9c9b7fa4ecf69ec16
[ "MIT" ]
null
null
null
input_name: str = input() if input_name == 'Johnny': print('Hello, my love!') else: print(f'Hello, {input_name}!')
20.5
34
0.626016
18
123
4.111111
0.611111
0.364865
0
0
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0.178862
123
5
35
24.6
0.732673
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true
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4
e2baee00bdf62669890e19954e4a630896c40fea
131
py
Python
bulky/__init__.py
tgrx/bulky
8c5a41936b8ea29ed39b57ebe1a91bd85e64422d
[ "Apache-2.0" ]
null
null
null
bulky/__init__.py
tgrx/bulky
8c5a41936b8ea29ed39b57ebe1a91bd85e64422d
[ "Apache-2.0" ]
4
2020-03-24T17:19:39.000Z
2021-06-01T23:47:33.000Z
bulky/__init__.py
tgrx/bulky
8c5a41936b8ea29ed39b57ebe1a91bd85e64422d
[ "Apache-2.0" ]
null
null
null
from bulky.functions.insert import insert from bulky.functions.update import update __all__ = ("insert", "update") name = "bulky"
21.833333
41
0.763359
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131
5.647059
0.470588
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5
42
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0
1
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0
0
0
4
e2cc64992d980fbe4bdc783fa2a3114188390f73
340
py
Python
examples/05syspath/main.py
podhmo/magicalimport
b9c516d9d134ca578a85f934caa8c9f9ce6b4fa9
[ "MIT" ]
null
null
null
examples/05syspath/main.py
podhmo/magicalimport
b9c516d9d134ca578a85f934caa8c9f9ce6b4fa9
[ "MIT" ]
9
2016-10-01T15:25:20.000Z
2021-02-18T05:25:43.000Z
examples/05syspath/main.py
podhmo/magicalimport
b9c516d9d134ca578a85f934caa8c9f9ce6b4fa9
[ "MIT" ]
1
2017-07-19T12:38:56.000Z
2017-07-19T12:38:56.000Z
import string import magicalimport import sys import os.path string2 = magicalimport.import_module(string.__file__) print(string == string2) assert "urlib" not in sys.modules urllib2 = magicalimport.import_module( os.path.join(os.path.dirname(string.__file__), "urllib/__init__.py") ) import urllib # noqa print(urllib == urllib2)
20
72
0.773529
45
340
5.533333
0.488889
0.228916
0.200803
0
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0.013378
0.120588
340
16
73
21.25
0.819398
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1
0
1
0
0
4
3902a0e127e150672fd0deb34c3a72a399bc6c42
178
py
Python
test/test_basemodel.py
Chise1/fastapi-admin
74693cf8dd854d61ae5bd931ebe85f5b94f48121
[ "Apache-2.0" ]
null
null
null
test/test_basemodel.py
Chise1/fastapi-admin
74693cf8dd854d61ae5bd931ebe85f5b94f48121
[ "Apache-2.0" ]
null
null
null
test/test_basemodel.py
Chise1/fastapi-admin
74693cf8dd854d61ae5bd931ebe85f5b94f48121
[ "Apache-2.0" ]
null
null
null
# -*- encoding: utf-8 -*- """ @File : test_basemodel.py @Time : 2020/4/3 0:08 @Author : chise @Email : chise123@live.com @Software: PyCharm @info :测试basemodel的继承 """
17.8
28
0.61236
23
178
4.695652
1
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0
0.091549
0.202247
178
9
29
19.777778
0.669014
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null
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null
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null
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1
0
0
0
0
0
0
4
391afe28a4195bb475eaaaf54903807eb9983e42
153
py
Python
core/urls.py
softwaydev/fop-service
f6e479c17ec54d5264520e3e0797f1313a8bfe54
[ "Apache-2.0" ]
4
2017-07-03T06:21:59.000Z
2020-07-21T03:35:15.000Z
core/urls.py
softwaydev/fop-service
f6e479c17ec54d5264520e3e0797f1313a8bfe54
[ "Apache-2.0" ]
2
2017-07-13T11:00:54.000Z
2017-08-04T10:41:20.000Z
core/urls.py
softwaydev/fop-service
f6e479c17ec54d5264520e3e0797f1313a8bfe54
[ "Apache-2.0" ]
2
2019-07-02T08:39:33.000Z
2020-11-06T21:04:56.000Z
from django.conf.urls import url from core import views urlpatterns = [ url(r'^$', views.index), url(r'^generate_pdf/$', views.generate_pdf), ]
19.125
48
0.679739
22
153
4.636364
0.590909
0.078431
0
0
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0
0
0
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0.163399
153
7
49
21.857143
0.796875
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0.111111
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0
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1
0
0
0
0
4
39284ecd2f12f68b9815883a55b0b51f4e1976fc
560
py
Python
tests/Get_cpu_test.py
ashok-arora/sms
50a0de68de4ebf7cf73d412bea05d6610b36e412
[ "MIT" ]
3
2021-04-20T19:32:58.000Z
2021-05-20T17:28:52.000Z
tests/Get_cpu_test.py
ashok-arora/sms
50a0de68de4ebf7cf73d412bea05d6610b36e412
[ "MIT" ]
4
2021-04-21T14:05:51.000Z
2021-04-24T14:19:56.000Z
tests/Get_cpu_test.py
ashok-arora/sms
50a0de68de4ebf7cf73d412bea05d6610b36e412
[ "MIT" ]
4
2021-03-25T16:20:32.000Z
2021-04-06T07:49:41.000Z
import core g = core.Get() def test_cpu(): assert type(g.cpu()) is dict def test_cpu_load_avg(): assert type(g.cpu()['load_avg']) is tuple def test_cpu_user(): assert type(g.cpu()['user']) is float def test_cpu_system(): assert type(g.cpu()['system']) is float def test_cpu_idle(): assert type(g.cpu()['idle']) is float def test_cpu_iowait(): assert type(g.cpu()['iowait']) is float def test_cpu_num_cores(): assert type(g.cpu()['num_cores']) is int def test_cpu_cores(): assert type(g.cpu()['cores']) is tuple
15.555556
45
0.646429
95
560
3.610526
0.231579
0.163265
0.233236
0.326531
0.309038
0
0
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0
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0.182143
560
35
46
16
0.748908
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1
0.444444
false
0
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null
0
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1
0
0
0
0
0
0
0
4
1a3b736884198ec3b8f19d9ab7d0c7883f28fbb9
98
py
Python
CodeHS/Unit 5/5.1/triple.py
nitrospam/APCSP2020
275f576036805d244c3244f3f3646951940c9575
[ "MIT" ]
null
null
null
CodeHS/Unit 5/5.1/triple.py
nitrospam/APCSP2020
275f576036805d244c3244f3f3646951940c9575
[ "MIT" ]
null
null
null
CodeHS/Unit 5/5.1/triple.py
nitrospam/APCSP2020
275f576036805d244c3244f3f3646951940c9575
[ "MIT" ]
null
null
null
# Enter your code here def triple(num): num = num*3 print(num) triple(6) triple(99)
10.888889
22
0.602041
16
98
3.6875
0.6875
0.20339
0
0
0
0
0
0
0
0
0
0.056338
0.27551
98
8
23
12.25
0.774648
0.204082
0
0
0
0
0
0
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0
0
0.125
0
1
0.2
false
0
0
0
0.2
0.2
1
0
0
null
1
0
0
0
0
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null
0
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1
0
0
0
0
0
0
0
0
0
0
4
1a72ef48b0afaf741558321781fa8209ce466939
73
py
Python
pytorch_pfn_extras/dataloaders/__init__.py
yasuyuky/pytorch-pfn-extras
febea6ded644d3b7a099ac557f06567a04b3b838
[ "MIT" ]
1
2021-06-19T11:34:27.000Z
2021-06-19T11:34:27.000Z
pytorch_pfn_extras/dataloaders/__init__.py
yasuyuky/pytorch-pfn-extras
febea6ded644d3b7a099ac557f06567a04b3b838
[ "MIT" ]
1
2021-07-28T05:37:50.000Z
2021-07-28T05:37:50.000Z
pytorch_pfn_extras/dataloaders/__init__.py
yasuyuky/pytorch-pfn-extras
febea6ded644d3b7a099ac557f06567a04b3b838
[ "MIT" ]
null
null
null
from pytorch_pfn_extras.dataloaders.dataloader import DataLoader # NOQA
36.5
72
0.863014
9
73
6.777778
0.888889
0
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0.09589
73
1
73
73
0.924242
0.054795
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true
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null
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0
1
0
0
0
0
4
1a75d6da18b6429831c683b6d9d88009304f3d22
107
py
Python
main/campaign/admin.py
MahanBi/Back-End
5074ac1d341ad2addd1750e4aea2e6800be2bfef
[ "MIT" ]
null
null
null
main/campaign/admin.py
MahanBi/Back-End
5074ac1d341ad2addd1750e4aea2e6800be2bfef
[ "MIT" ]
null
null
null
main/campaign/admin.py
MahanBi/Back-End
5074ac1d341ad2addd1750e4aea2e6800be2bfef
[ "MIT" ]
1
2021-12-06T21:36:28.000Z
2021-12-06T21:36:28.000Z
from django.contrib import admin from .models import CampaignRanking admin.site.register(CampaignRanking)
21.4
36
0.850467
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107
7
0.692308
0
0
0
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0.093458
107
4
37
26.75
0.938144
0
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true
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