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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
58f7131f6e0460b873d8e3c9e2d3590bf118e404 | 173 | py | Python | client/python-client/config.py | colesteere/updated-gabriel-proxy-server | d3c94ef03952f8612f76af1e7e42dd89f0c6f401 | [
"Apache-2.0"
] | 7 | 2020-02-04T10:58:58.000Z | 2021-11-26T07:37:22.000Z | client/python-client/config.py | colesteere/updated-gabriel-proxy-server | d3c94ef03952f8612f76af1e7e42dd89f0c6f401 | [
"Apache-2.0"
] | 1 | 2021-02-19T03:56:10.000Z | 2021-02-19T03:56:10.000Z | client/python-client/config.py | colesteere/updated-gabriel-proxy-server | d3c94ef03952f8612f76af1e7e42dd89f0c6f401 | [
"Apache-2.0"
] | 8 | 2019-12-05T10:05:36.000Z | 2021-01-27T14:09:53.000Z | #!/usr/bin/env python
class Config(object):
GABRIEL_IP='128.2.213.107'
RECEIVE_FRAME=True
VIDEO_STREAM_PORT = 9098
RESULT_RECEIVING_PORT = 9101
TOKEN=1
| 19.222222 | 32 | 0.699422 | 26 | 173 | 4.423077 | 0.961538 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.136691 | 0.196532 | 173 | 8 | 33 | 21.625 | 0.690647 | 0.115607 | 0 | 0 | 0 | 0 | 0.085526 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
450e839b5cbfe8975335738924db450b042c957b | 608 | py | Python | ibsng/handler/perm/delete_perm_template.py | ParspooyeshFanavar/pyibsng | d48bcf4f25e3f23461528bf0ff8870cc3d537444 | [
"MIT"
] | 6 | 2018-03-06T10:16:36.000Z | 2021-12-05T12:43:10.000Z | ibsng/handler/perm/delete_perm_template.py | ParspooyeshFanavar/pyibsng | d48bcf4f25e3f23461528bf0ff8870cc3d537444 | [
"MIT"
] | 3 | 2018-03-06T10:27:08.000Z | 2022-01-02T15:21:27.000Z | ibsng/handler/perm/delete_perm_template.py | ParspooyeshFanavar/pyibsng | d48bcf4f25e3f23461528bf0ff8870cc3d537444 | [
"MIT"
] | 3 | 2018-01-06T16:28:31.000Z | 2018-09-17T19:47:19.000Z | """Delete permission template API method."""
from ibsng.handler.handler import Handler
class deletePermTemplate(Handler):
"""Delete permission template method class."""
def control(self):
"""Validate inputs after method setup.
:return: None
:rtype: None
"""
self.is_valid(self.perm_template_name, str)
def setup(self, perm_template_name):
"""Setup required parameters.
:param str perm_template_name: permission template name
:return: None
:rtype: None
"""
self.perm_template_name = perm_template_name
| 24.32 | 63 | 0.648026 | 67 | 608 | 5.716418 | 0.432836 | 0.18799 | 0.208877 | 0.156658 | 0.120104 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.258224 | 608 | 24 | 64 | 25.333333 | 0.849224 | 0.419408 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.166667 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
45260c369563b1835eb05a3453c5ee46286b3cca | 4,721 | py | Python | code/tests/unit/api/test_authorization.py | CiscoSecurity/tr-05-serverless-cyberprotect | f977f78e42d67994550bc5e6a3b04b0cd157d476 | [
"MIT"
] | 3 | 2020-06-24T08:17:58.000Z | 2021-05-25T06:00:28.000Z | code/tests/unit/api/test_authorization.py | CiscoSecurity/tr-05-serverless-cyberprotect | f977f78e42d67994550bc5e6a3b04b0cd157d476 | [
"MIT"
] | null | null | null | code/tests/unit/api/test_authorization.py | CiscoSecurity/tr-05-serverless-cyberprotect | f977f78e42d67994550bc5e6a3b04b0cd157d476 | [
"MIT"
] | null | null | null | from http import HTTPStatus
from pytest import fixture
from requests.exceptions import InvalidURL, ConnectionError
from api.utils import (
NO_AUTH_HEADER,
WRONG_AUTH_TYPE,
WRONG_JWKS_HOST,
JWK_HOST_MISSING,
WRONG_KEY,
WRONG_JWT_STRUCTURE,
WRONG_AUDIENCE,
KID_NOT_FOUND
)
from .utils import headers
from ..conftest import cyberprotect_api_response
from ..mock_for_tests import (
EXPECTED_RESPONSE_OF_JWKS_ENDPOINT,
RESPONSE_OF_JWKS_ENDPOINT_WITH_WRONG_KEY
)
def routes():
yield '/health'
yield '/observe/observables'
yield '/deliberate/observables'
@fixture(scope='module', params=routes(), ids=lambda route: f'POST {route}')
def route(request):
return request.param
def test_call_with_authorization_header_failure(
route, client, valid_json,
authorization_errors_expected_payload
):
response = client.post(route, json=valid_json)
assert response.status_code == HTTPStatus.OK
assert response.json == authorization_errors_expected_payload(
NO_AUTH_HEADER
)
def test_call_with_wrong_auth_type(
route, client, valid_json, valid_jwt,
authorization_errors_expected_payload
):
response = client.post(
route, json=valid_json,
headers=headers(valid_jwt(), auth_type='not')
)
assert response.status_code == HTTPStatus.OK
assert response.json == authorization_errors_expected_payload(
WRONG_AUTH_TYPE
)
def test_call_with_wrong_jwks_host(
route, client, valid_json, valid_jwt, cyberprotect_api_request,
authorization_errors_expected_payload
):
for error in (ConnectionError, InvalidURL):
cyberprotect_api_request.side_effect = error()
response = client.post(
route, json=valid_json, headers=headers(valid_jwt())
)
assert response.status_code == HTTPStatus.OK
assert response.json == authorization_errors_expected_payload(
WRONG_JWKS_HOST
)
def test_call_with_missing_jwks_host(
route, client, valid_json, valid_jwt, cyberprotect_api_request,
authorization_errors_expected_payload,
):
cyberprotect_api_request.return_value = \
cyberprotect_api_response(payload=EXPECTED_RESPONSE_OF_JWKS_ENDPOINT)
response = client.post(
route, json=valid_json,
headers=headers(valid_jwt(wrong_jwks_host=True))
)
assert response.status_code == HTTPStatus.OK
assert response.json == authorization_errors_expected_payload(
JWK_HOST_MISSING
)
def test_call_with_wrong_key(
route, client, valid_json, valid_jwt, cyberprotect_api_request,
authorization_errors_expected_payload,
):
cyberprotect_api_request.return_value = \
cyberprotect_api_response(
payload=RESPONSE_OF_JWKS_ENDPOINT_WITH_WRONG_KEY
)
response = client.post(
route, json=valid_json,
headers=headers(valid_jwt())
)
assert response.status_code == HTTPStatus.OK
assert response.json == authorization_errors_expected_payload(
WRONG_KEY
)
def test_call_with_wrong_jwt_structure(
route, client, valid_json, cyberprotect_api_request,
authorization_errors_expected_payload,
):
cyberprotect_api_request.return_value = \
cyberprotect_api_response(payload=EXPECTED_RESPONSE_OF_JWKS_ENDPOINT)
response = client.post(
route, json=valid_json,
headers=headers('valid_jwt()')
)
assert response.status_code == HTTPStatus.OK
assert response.json == authorization_errors_expected_payload(
WRONG_JWT_STRUCTURE
)
def test_call_with_wrong_audience(
route, client, valid_json, valid_jwt, cyberprotect_api_request,
authorization_errors_expected_payload,
):
cyberprotect_api_request.return_value = \
cyberprotect_api_response(payload=EXPECTED_RESPONSE_OF_JWKS_ENDPOINT)
response = client.post(
route, json=valid_json,
headers=headers(valid_jwt(aud='wrong_aud'))
)
assert response.status_code == HTTPStatus.OK
assert response.json == authorization_errors_expected_payload(
WRONG_AUDIENCE
)
def test_call_with_wrong_kid(
route, client, valid_json, valid_jwt, cyberprotect_api_request,
authorization_errors_expected_payload,
):
cyberprotect_api_request.return_value = \
cyberprotect_api_response(payload=EXPECTED_RESPONSE_OF_JWKS_ENDPOINT)
response = client.post(
route, json=valid_json,
headers=headers(valid_jwt(kid='wrong_kid'))
)
assert response.status_code == HTTPStatus.OK
assert response.json == authorization_errors_expected_payload(
KID_NOT_FOUND
)
| 28.786585 | 77 | 0.728236 | 547 | 4,721 | 5.862888 | 0.140768 | 0.084191 | 0.134705 | 0.169629 | 0.753352 | 0.714687 | 0.696601 | 0.675398 | 0.675398 | 0.675398 | 0 | 0 | 0.201229 | 4,721 | 163 | 78 | 28.96319 | 0.850438 | 0 | 0 | 0.462121 | 0 | 0 | 0.021182 | 0.004872 | 0 | 0 | 0 | 0 | 0.121212 | 1 | 0.075758 | false | 0 | 0.05303 | 0.007576 | 0.136364 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 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 | 3 |
452d8122263635ca75335a981efe2ea56d796a77 | 536 | py | Python | driving_force.py | bcgreen24/ten-lines-or-less | 7a34ff7d7222fd3946e9cbb418afc992bc84e5e5 | [
"MIT"
] | 44 | 2018-08-15T08:32:43.000Z | 2022-02-15T20:25:03.000Z | driving_force.py | bcgreen24/ten-lines-or-less | 7a34ff7d7222fd3946e9cbb418afc992bc84e5e5 | [
"MIT"
] | null | null | null | driving_force.py | bcgreen24/ten-lines-or-less | 7a34ff7d7222fd3946e9cbb418afc992bc84e5e5 | [
"MIT"
] | 7 | 2018-09-08T20:05:58.000Z | 2021-11-22T12:46:15.000Z | b1 >> fuzz([0, 2, 3, 5], dur=1/2, amp=0.8, lpf=linvar([100, 1000], 12), lpr=0.4, oct=3).every(16, "shuffle").every(8, "bubble")
d1 >> play("x o [xx] oxx o [xx] {oO} ", room=0.4).every(16, "shuffle")
d2 >> play("[--]", amp=[1.3, 0.5, 0.5, 0.5], hpf=linvar([6000, 10000], 8), hpr=0.4, spin=4)
p1 >> pasha([0, 2, 3, 5], dur=4, oct=4, amp=0.65, pan=[-0.5, 0.5], striate=16).every(9, "bubble")
m1 >> karp([0, 2, 3, 7, 9], dur=[1/2, 1, 1/2, 1, 1, 1/2]).every(12, "shuffle").every(7, "bubble")
p1.every(4, "stutter", 4)
b1.every(8, "rotate")
| 67 | 127 | 0.539179 | 119 | 536 | 2.428571 | 0.394958 | 0.034602 | 0.031142 | 0.041522 | 0.048443 | 0 | 0 | 0 | 0 | 0 | 0 | 0.196544 | 0.136194 | 536 | 7 | 128 | 76.571429 | 0.427646 | 0 | 0 | 0 | 0 | 0 | 0.151119 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
4535b19aaa2277a6f4dbe0469e53ec470e9bd860 | 23,317 | py | Python | synthetic_expts/synthetic_expts.py | mvp18/gAL-MELEX | 58fd26b41d40acac3ab98f37c34e4de2d757ac01 | [
"MIT"
] | null | null | null | synthetic_expts/synthetic_expts.py | mvp18/gAL-MELEX | 58fd26b41d40acac3ab98f37c34e4de2d757ac01 | [
"MIT"
] | null | null | null | synthetic_expts/synthetic_expts.py | mvp18/gAL-MELEX | 58fd26b41d40acac3ab98f37c34e4de2d757ac01 | [
"MIT"
] | null | null | null | """
Author: saneem
"""
import pickle
import tensorflow as tf
import numpy as np
import os, sys
import csv
from keras.preprocessing.image import ImageDataGenerator
from keras.models import Sequential, load_model, Model
from keras.layers import Conv2D, MaxPooling2D, ZeroPadding2D
from keras.layers import Activation, Dropout, Flatten, Dense, Input, Concatenate
from keras.callbacks import EarlyStopping
import keras.backend as K
from keras.optimizers import Adam, SGD
from keras.layers.normalization import BatchNormalization
from keras.regularizers import Regularizer
from keras.applications.resnet50 import ResNet50
from keras.callbacks import Callback # early stopping
import matplotlib.pyplot as plt
import sklearn.linear_model as linear_model
import time
from sklearn.metrics import average_precision_score
from sklearn.metrics import log_loss
import argparse
from copy import deepcopy
from utils.utils import *
from utils.utils import da_get_Yadv
from utils.flipGrad import *
from utils.RateScheduler import GradientReversalScheduler
argparser = argparse.ArgumentParser(
description="To train the model with our without our proposed adverserial regularizer.")
argparser.add_argument(
'-a',
'--algo',
help="algorithm name: reg, base, fs, adv",
default='base')
argparser.add_argument(
'-hp',
'--hyper_param',
help="Hyper param list: will adv_weight for fs and adv and lamda for reg",
default=[1.0],
type=float,
nargs='+')
argparser.add_argument(
'-f',
'--data_file',
help="data directory",
nargs='+',
default=None)
argparser.add_argument(
'-fs_test',
'--tfile',
help="what test to try",
default=None)
args = argparser.parse_args()
num_feat = 5
num_attr = 2
comm_rep_dim = 2
# custom regularizers
lamda = 0.2
def L12_reg(weight_matrix):
return lamda* K.sum(K.square(K.sum(K.abs(weight_matrix), axis=1)))
def Linf1_reg(weight_matrix):
return lamda* K.sum(K.sqrt(K.max(K.abs(weight_matrix), axis=1)))
def Lh1_reg(weight_matrix):
return lamda* K.sum(K.square(K.sum(K.sqrt(K.abs(weight_matrix)), axis=1)))
def evaluate_model(model, Xtest, Ytest):
Ypred = model.predict(Xtest)
if len(model.output_names) >= 2:
Ypred = model.predict(Xtest)[model.output_names.index('task')]
Ypred_task = Ypred[:,0]
Ytest_task = np.reshape(Ytest[:,0], Ypred_task.shape)
mAP = average_precision_score(Ytest_task, Ypred_task, average='macro')
acc = np.mean((Ypred_task > 0.5) == Ytest_task)
return {'map':mAP, 'acc':acc, 'Ypred':Ypred, 'Ytrue':Ytest}
def save_results(model, Xtrain, Ytrain, Xtest, Ytest, filename, algo):
res_train = evaluate_model(model, Xtrain, Ytrain)
if type(Xtest) == dict:
for tfile in Xtest:
res = evaluate_model(model, Xtest[tfile], Ytest[tfile])
for key in res_train:
res[key+'_train'] = res_train[key]
result_file = '../synthetic_results/' + filename.split('.pckl')[0] + '__on__' +\
tfile.split('.pckl')[0] + '__' + algo + '.pckl'
pickle.dump(res, open(result_file, 'w'))
else:
res = evaluate_model(model, Xtest, Ytest)
for key in res_train:
res[key+'_train'] = res_train[key]
result_file = '../synthetic_results/' + filename.split('.pckl')[0] + '__' + algo + '.pckl'
pickle.dump(res, open(result_file, 'w'))
def keras_basic_model(Xtrain, Ytrain, if_hdh=False):
input_s = (np.shape(Xtrain)[1],)
# optim = Adam(lr = 005)
optim = SGD(lr=0.005, nesterov=True)
num_epochs = 1000
if len(np.shape(Ytrain)) == 1:
num_label = 1
else:
num_label = np.shape(Ytrain)[1]
# model
earlystopper = EarlyStopping(min_delta=0.00001, patience=20, verbose=1)
input_layer = Input(shape=input_s)
if if_hdh:
layer = Dense(np.shape(Xtrain)[1], activation = 'relu')(input_layer)
output = Dense(num_label, activation='sigmoid')(layer)
else:
output = Dense(num_label, activation='sigmoid')(input_layer)
model = Model(inputs=[input_layer], outputs=output)
model.compile(loss='binary_crossentropy', #'mse', #'categorical_crossentropy',
optimizer=optim,
)
model.fit(x=Xtrain, y=Ytrain,
epochs=num_epochs,
batch_size=50,
validation_data=(Xtrain, Ytrain),
verbose=0,
callbacks=[earlystopper])
return model
def cross_entropy(Ytrue, Ypred):
Ypred = np.clip(Ypred, 1e-7, 1.-1e-7)
return np.mean(np.log(Ypred)*Ytrue + np.log(1-Ypred)*(1-Ytrue))
###################################################################################
def compete_LR(Xtrain, Ytrain):
num_attributes = num_attr
input_s = (num_feat*2,)
adam = Adam(lr=0.01, decay=0.0)
num_epochs = 2000
data_points = len(Ytrain)
# model
input_layer = Input(shape=input_s)
common_rep = Dense(comm_rep_dim, name='rep', use_bias=False)(input_layer)
task_out = Dense(num_attributes, activation='sigmoid', name='task', kernel_regularizer=L12_reg)(common_rep)
model = Model(inputs=[input_layer], outputs=task_out)
model.compile(loss='binary_crossentropy', #'mse', #'categorical_crossentropy',
optimizer=adam,
metrics=['binary_accuracy']
)
earlystopper = EarlyStopping(min_delta=0.00001, patience=20, verbose=1)
model.fit(x=Xtrain, y=Ytrain,
epochs=num_epochs,
batch_size=50,
validation_data=(Xtrain, Ytrain),
verbose=0,
callbacks=[earlystopper])
# Ypred_train = model.predict(Xtrain)
# train_acc = 1 - np.mean(abs((Ypred_train > 0.5)- Ytrain), axis=0)[0]
#
# Ypred_test = model.predict(Xtest)
# test_acc = 1 - np.mean(abs((Ypred_test > 0.5)- Ytest), axis=0)[0]
return model
def adv_wrapper_FS(Xtrain, Ytrain, adv_weight=1.0):
def task_adv_obj(selected_feat, adv_weight=adv_weight):
model = keras_basic_model(Xtrain[:,selected_feat], Ytrain[:,0])
Ypred = model.predict(Xtrain[:,selected_feat])
loss_task = cross_entropy(Ytrain[:,0], Ypred)
model_adv = keras_basic_model(Xtrain[:,selected_feat], Ytrain[:,1])
Ypred = model_adv.predict(Xtrain[:,selected_feat])
loss_adv = cross_entropy(Ytrain[:,1], Ypred)
return loss_task - adv_weight*loss_adv
feat_num = Xtrain.shape[1]
feat_list = range(feat_num)
stop_flag = False
sel_feat = []
obj_val = np.inf
while not stop_flag:
min_obj = np.inf
min_f = None
for f in feat_list:
feat_set = deepcopy(sel_feat)
feat_set.append(f)
val = task_adv_obj(feat_set)
feat_set.remove(f)
if val < min_obj:
min_obj = val
min_f = f
if min_obj < obj_val:
obj_val = min_obj
sel_feat.append(min_f)
feat_list.remove(min_f)
else:
stop_flag = True
if len(feat_list) == 0:
stop_flag = True
return keras_basic_model(Xtrain[:,sel_feat], Ytrain), sel_feat
def logistic_regression(Xtrain, Ytrain):
input_s = (Xtrain.shape[1],)
optim = SGD(lr=0.01, decay=0.0)
num_epochs = 1000
data_points = len(Ytrain)
# model
input_layer_init = Input(shape=input_s)
common_rep_init = Dense(comm_rep_dim, name='rep', use_bias=False)(input_layer_init)
task_out_init = Dense(1, activation='sigmoid', name='task')(common_rep_init)
model = Model(inputs=[input_layer_init], outputs=task_out_init)
model.compile(loss='binary_crossentropy', #'mse', #'categorical_crossentropy',
optimizer=optim,
metrics=['binary_accuracy']
)
earlystopper = EarlyStopping(min_delta=0.00001, patience=20, verbose=1)
model.fit(x=Xtrain, y=Ytrain[:,0],
epochs=num_epochs,
batch_size=50,
validation_data=(Xtrain, Ytrain[:,0]),
verbose=1,
callbacks=[earlystopper])
# train_acc = model_init.evaluate(x=Xtrain, y=Ytrain[:,0], verbose=0)
# test_acc = model_init.evaluate(x=Xtest, y=Ytest[:,0], verbose=0)
return model
def adv_logistic(Xtrain, Ytrain, adv_weight=1.0, model_init=None):
num_attributes = num_attr
input_s = (num_feat*2,)
adam = Adam(lr=0.01, decay=0.0)
num_epochs = 2000
data_points = len(Ytrain)
earlystopper = EarlyStopping(min_delta=0.00001, patience=20, verbose=1)
if model_init == None:
# init model
input_layer_init = Input(shape=input_s)
common_rep_init = Dense(comm_rep_dim, name='rep', use_bias=False)(input_layer_init)
task_out_init = Dense(1, activation='sigmoid', name='task')(common_rep_init)
model_init = Model(inputs=[input_layer_init], outputs=task_out_init)
model_init.compile(loss='binary_crossentropy', #'mse', #'categorical_crossentropy',
optimizer=adam,
metrics=['binary_accuracy']
)
model_init.fit(x=Xtrain, y=Ytrain[:,0],
epochs=num_epochs,
batch_size=50,
validation_data=(Xtrain, Ytrain[:,0]),
verbose=0,
callbacks=[earlystopper])
# adv model.
Flip = GradientReversal(hp_lambda=1)
input_layer_all = Input(shape=input_s)
common_rep_all = Dense(comm_rep_dim, name='rep', use_bias=False)(input_layer_all)
task_out_all = Dense(1, activation='sigmoid', name='task')(common_rep_all)
adv = Flip(common_rep_all)
adv_out_all = Dense(1, activation='sigmoid', name='adv')(adv)
model_all = Model(inputs=[input_layer_all], outputs=[task_out_all, adv_out_all])
model_all.compile(loss={'task':'binary_crossentropy', 'adv':'binary_crossentropy'},
optimizer=adam,
metrics=['binary_accuracy'],
loss_weights={'task':1, 'adv': adv_weight}
)
# copying values from init model to all model.
model_all.layers[1].set_weights(model_init.layers[1].get_weights())
model_all.layers[3].set_weights(model_init.layers[2].get_weights())
# Ytrain_dict = {'task': Ytrain[:,0],
# 'adv': Ytrain[:,1]}
Ytrain_dict = {'task': Ytrain[:,0],
'adv': Ytrain[:,1]}
model_all.fit(x=Xtrain, y=Ytrain_dict,
epochs=num_epochs,
batch_size=50,
validation_data=(Xtrain, Ytrain_dict),
verbose=0,
callbacks=[earlystopper])
return model_all
def adv_logistic_scheduler(Xtrain, Ytrain, adv_weight=1.0, increment_epochs=200):
num_attributes = num_attr
input_s = (num_feat*2,)
adam = Adam(lr=0.01, decay=0.0)
num_epochs = 1000
data_points = len(Ytrain)
# adv model.
lamda_sched = K.variable(0.0, dtype='float32')
Flip = GradientReversal(lamda_sched)
input_layer_all = Input(shape=input_s)
common_rep_all = Dense(comm_rep_dim, name='rep', use_bias=False)(input_layer_all)
task_out_all = Dense(1, activation='sigmoid', name='task')(common_rep_all)
adv = Flip(common_rep_all)
adv_out_all = Dense(1, activation='sigmoid', name='adv')(adv)
model_all = Model(inputs=[input_layer_all], outputs=[task_out_all, adv_out_all])
model_all.compile(loss={'task':'binary_crossentropy', 'adv':'binary_crossentropy'},
optimizer=adam,
metrics=['binary_accuracy']
)
Ytrain_dict = {'task': Ytrain[:,0],
'adv': Ytrain[:,1]}
def l_scheduler(i):
if i < int(increment_epochs):
return adv_weight * float(i)/increment_epochs
else:
return adv_weight
lscheduler = GradientReversalScheduler(lamda_sched, l_scheduler)
model_all.fit(x=Xtrain, y=Ytrain_dict,
epochs=num_epochs,
batch_size=50,
validation_data=(Xtrain, Ytrain_dict),
verbose=0,
callbacks=[lscheduler])
return model_all
def da_logistic(Xtrain, Ytrain, adv_weight=1.0, Ytest=None, guess_type='uniform', increment_epochs=200):
Yadv = da_get_Yadv(Ytrain, Ytest, guess_type)
input_s = (num_feat*2,)
adam = Adam(lr=0.01, decay=0.0)
num_epochs = 1000
data_points = len(Ytrain)
# adv model.
lamda_sched = K.variable(0.0, dtype='float32')
Flip = GradientReversal(lamda_sched)
input_layer_all = Input(shape=input_s)
common_rep_all = Dense(comm_rep_dim, name='rep', use_bias=False)(input_layer_all)
task_out_all = Dense(1, activation='sigmoid', name='task')(common_rep_all)
adv = Flip(common_rep_all)
adv = Dense(comm_rep_dim, activation='relu')(adv)
adv_out_all = Dense(1, activation='sigmoid', name='adv')(adv)
model_all = Model(inputs=[input_layer_all], outputs=[task_out_all, adv_out_all])
model_all.compile(loss={'task':'binary_crossentropy', 'adv':'binary_crossentropy'},
optimizer=adam,
metrics=['binary_accuracy']
)
Ytrain_dict = {'task': Ytrain[:,0],
'adv': Yadv}
def l_scheduler(i):
if i < int(increment_epochs):
return adv_weight * float(i)/increment_epochs
else:
return adv_weight
lscheduler = GradientReversalScheduler(lamda_sched, l_scheduler)
model_all.fit(x=Xtrain, y=Ytrain_dict,
epochs=num_epochs,
batch_size=50,
validation_data=(Xtrain, Ytrain_dict),
verbose=0,
callbacks=[lscheduler])
return model_all
def da_balance(Xtrain, Ytrain, adv_weight=1.0, increment_epochs=200):
Yadv = np.prod(Ytrain, axis=1) + np.prod(1-Ytrain, axis=1)
input_s = (num_feat*2,)
adam = Adam(lr=0.01, decay=0.0)
num_epochs = 1000
data_points = len(Ytrain)
# adv model.
lamda_sched = K.variable(0.0, dtype='float32')
Flip = GradientReversal(lamda_sched)
input_layer_all = Input(shape=input_s)
common_rep_all = Dense(comm_rep_dim, name='rep', use_bias=False)(input_layer_all)
task_out_all = Dense(1, activation='sigmoid', name='task')(common_rep_all)
adv = Flip(common_rep_all)
adv = Dense(5, activation='relu')(adv)
adv = Dense(2, activation='relu')(adv)
adv_out_all = Dense(1, activation='sigmoid', name='adv')(adv)
model_all = Model(inputs=[input_layer_all], outputs=[task_out_all, adv_out_all])
model_all.compile(loss={'task':'binary_crossentropy', 'adv':'binary_crossentropy'},
optimizer=adam,
metrics=['binary_accuracy']
)
Ytrain_dict = {'task': Ytrain[:,0],
'adv': Yadv}
def l_scheduler(i):
if i < int(increment_epochs):
return adv_weight * float(i)/increment_epochs
else:
return adv_weight
lscheduler = GradientReversalScheduler(lamda_sched, l_scheduler)
model_all.fit(x=Xtrain, y=Ytrain_dict,
epochs=num_epochs,
batch_size=50,
validation_data=(Xtrain, Ytrain_dict),
verbose=0,
callbacks=[lscheduler])
return model_all
def da_FS(Xtrain, Ytrain, adv_weight=1.0, Ytest=None, guess_type='uniform'):
Yadv = da_get_Yadv(Ytrain, Ytest, guess_type)
def da_obj(selected_feat, adv_weight=adv_weight):
model = keras_basic_model(Xtrain[:,selected_feat], Ytrain[:,0])
Ypred = model.predict(Xtrain[:,selected_feat])
loss_task = cross_entropy(Ytrain[:,0], Ypred)
model_adv = keras_basic_model(Xtrain[:,selected_feat], Yadv, if_hdh=True)
Ypred = model_adv.predict(Xtrain[:,selected_feat])
loss_adv = cross_entropy(Yadv, Ypred)
return loss_task - adv_weight*loss_adv
feat_num = Xtrain.shape[1]
feat_list = range(feat_num)
stop_flag = False
sel_feat = []
obj_val = np.inf
while not stop_flag:
min_obj = np.inf
min_f = None
for f in feat_list:
feat_set = deepcopy(sel_feat)
feat_set.append(f)
val = da_obj(feat_set)
feat_set.remove(f)
if val < min_obj:
min_obj = val
min_f = f
if min_obj < obj_val:
obj_val = min_obj
sel_feat.append(min_f)
feat_list.remove(min_f)
else:
stop_flag = True
if len(feat_list) == 0:
stop_flag = True
return keras_basic_model(Xtrain[:,sel_feat], Ytrain), sel_feat #, Xtest[:,sel_feat], Ytest)
adv_weight = 1.0
algo = args.algo
print algo
print args.hyper_param
print args.data_file
data_direc = '../iccv_synthetic_data/'
results_direc = '../iccv_synthetic_results'
train_datasets = [d for d in os.listdir(data_direc) if 'train' in d]
test_corr_expts = [d for d in os.listdir(data_direc) if 'test' in d and 'da-1.5' in d]
all_results = os.listdir(results_direc)
if args.data_file != None:
train_datasets = [d for d in train_datasets if all(x in d for x in args.data_file)]
start_time = time.time()
for filename in train_datasets:
print '\n' + filename
data = pickle.load(open(data_direc + filename))
Xtrain = data['X']
Ytrain = data['Y']
# get all relevant test set
# if filename == 'train_data_n-1000_cor-0.8_dp-1.5_da-1.5.pckl':
if filename == 'train_data_n-1000_cor-0.8_dp-1.5_da-1.5.pckl':
Xtest = {}
Ytest = {}
for tfile in test_corr_expts:
data = pickle.load(open(data_direc + tfile))
Xtest[tfile] = data['X']
Ytest[tfile] = data['Y']
print 'Test dicts loaded'
# gs_filename = tfile.split('.pckl')[0] + '___gold_std.pckl'
# if gs_filename not in all_results:
# print 'creating gold standard for ' + tfile
# model_gs = logistic_regression(Xtest[tfile], Ytest[tfile])
# save_results(model_gs, Xtest[tfile], Ytest[tfile], Xtest[tfile], Ytest[tfile], tfile, '_gold_std')
# else:
# test_name = 'test_data_cor-0.5_dp' + filename.split('dp')[1]
# data = pickle.load(open(data_direc + test_name))
# Xtest = data['X']
# Ytest = data['Y']
# gs_filename = test_name.split('.pckl')[0] + '___gold_std.pckl'
# if gs_filename not in all_results:
# model_gs = keras_basic_model(Xtest, Ytest)
# save_results(model_gs, Xtest, Ytest, Xtest, Ytest, test_name, '_gold_std')
# base model
if algo == 'base':
model_base = logistic_regression(Xtrain, Ytrain)
model_base.save('../models/' + filename.split('.pckl')[0] + '__' + algo + '.h5')
save_results(model_base, Xtrain, Ytrain, Xtest, Ytest, filename, algo)
# task compete regularizer
elif algo == 'reg':
for lamda in args.hyper_param:
def L12_reg(weight_matrix):
return lamda* K.sum(K.square(K.sum(K.abs(weight_matrix), axis=1)))
model_reg = compete_LR(Xtrain, Ytrain)
model_reg.save('../models/' + filename.split('.pckl')[0] + '__' + algo + '_lam-' + str(lamda) + '.h5')
save_results(model_reg, Xtrain, Ytrain, Xtest, Ytest, filename, algo + '_lam-' + str(lamda))
# adversarial FS
elif algo == 'fs':
for adv_weight in args.hyper_param:
model_FS, sel_feat = adv_wrapper_FS(Xtrain, Ytrain, adv_weight)
model_FS.save('../models/' + filename.split('.pckl')[0] + '__' + algo + '_aw-' + str(adv_weight) + '.h5')
np.save('../models/Selected_features___' + filename.split('.pckl')[0] + '__' + algo + '_aw-' + str(adv_weight) + '.npy', sel_feat)
save_results(model_FS, Xtrain[:,sel_feat], Ytrain, Xtest[:,sel_feat], Ytest, filename, algo + '_aw-' + str(adv_weight))
# proposed model
elif algo == 'adv':
for adv_weight in args.hyper_param:
model_adv = adv_logistic(Xtrain, Ytrain, adv_weight)
# model_adv.save('../models/' + filename.split('.pckl')[0] + '__' + algo + '_aw-' + str(adv_weight) + '.h5')
save_results(model_adv, Xtrain, Ytrain, Xtest, Ytest, filename, algo + '_aw-' + str(adv_weight))
# proposed model with scheduler
elif algo == 'adv_sched':
for adv_weight in args.hyper_param:
model_adv = adv_logistic_scheduler(Xtrain, Ytrain, adv_weight)
# model_adv.save('../models/' + filename.split('.pckl')[0] + '__' + algo + '_aw-' + str(adv_weight) + '.h5')
save_results(model_adv, Xtrain, Ytrain, Xtest, Ytest, filename, algo + '_aw-' + str(adv_weight))
# All domain adaptation variants go here
elif 'da' in algo:
for adv_weight in args.hyper_param:
if 'FS' in algo:
if 'uni' in algo:
model_da, sel_feat = da_FS(Xtrain, Ytrain, adv_weight, Ytest=None, guess_type='uniform')
np.save('../models/Selected_features___' + filename.split('.pckl')[0] + '__' + algo + '_aw-' + str(adv_weight) + '.npy', sel_feat)
save_results(model_da, Xtrain[:,sel_feat], Ytrain, Xtest[:,sel_feat], Ytest, filename, algo + '_aw-' + str(adv_weight))
elif 'uncorr' in algo:
model_da, sel_feat = da_FS(Xtrain, Ytrain, adv_weight, Ytest=None, guess_type='uncorrelated')
np.save('../models/Selected_features___' + filename.split('.pckl')[0] + '__' + algo + '_aw-' + str(adv_weight) + '.npy', sel_feat)
save_results(model_da, Xtrain[:,sel_feat], Ytrain, Xtest[:,sel_feat], Ytest, filename, algo + '_aw-' + str(adv_weight))
elif 'exact' in algo:
if type(Ytest) == dict:
keys = Ytest.keys()
if args.tfile != None:
keys = [k for k in keys if args.tfile in k]:
for tfile in keys:
model_da, sel_feat = da_FS(Xtrain, Ytrain, adv_weight, Ytest=Ytest[tfile])
np.save('../models/Selected_features___' + filename.split('.pckl')[0] + '__on__' + tfile.split('.pckl')[0] +\
algo + '_aw-' + str(adv_weight) + '.npy', sel_feat)
save_results(model_da, Xtrain[:,sel_feat], Ytrain, Xtest[tfile][:,sel_feat], Ytest[tfile],
filename.split('.pckl')[0] + '__on__' + tfile, algo + '_aw-' + str(adv_weight))
else:
model_da, sel_feat = da_FS(Xtrain, Ytrain, adv_weight, Ytest=Ytest)
np.save('../models/Selected_features___' + filename.split('.pckl')[0] + '__' + algo + '_aw-' + str(adv_weight) + '.npy', sel_feat)
save_results(model_da, Xtrain[:,sel_feat], Ytrain, Xtest[:,sel_feat], Ytest, filename, algo + '_aw-' + str(adv_weight))
# model_da.save('../models/' + filename.split('.pckl')[0] + '__' + algo + '_aw-' + str(adv_weight) + '.h5')
else:
if 'uni' in algo:
model_da = da_logistic(Xtrain, Ytrain, adv_weight, Ytest=None, guess_type='uniform')
save_results(model_da, Xtrain, Ytrain, Xtest, Ytest, filename, algo + '_aw-' + str(adv_weight))
elif 'uncorr' in algo:
model_da = da_logistic(Xtrain, Ytrain, adv_weight, Ytest=None, guess_type='uncorrelated')
save_results(model_da, Xtrain, Ytrain, Xtest, Ytest, filename, algo + '_aw-' + str(adv_weight))
elif 'exact' in algo:
if type(Ytest) == dict:
for tfile in Ytest:
model_da = da_logistic(Xtrain, Ytrain, adv_weight, Ytest=Ytest[tfile])
save_results(model_da, Xtrain, Ytrain, Xtest[tfile], Ytest[tfile],
filename.split('.pckl')[0]+'__on__'+tfile, algo+'_aw-'+ str(adv_weight))
else:
model_da = da_logistic(Xtrain, Ytrain, adv_weight, Ytest=Ytest)
save_results(model_da, Xtrain, Ytrain, Xtest, Ytest, filename, algo + '_aw-' + str(adv_weight))
# model_da.save('../models/' + filename.split('.pckl')[0] + '__' + algo + '_aw-' + str(adv_weight) + '.h5')
print str(time.time() - start_time) + ' seconds'
# screen \-d \-m python synthetic_expts.py -a adv -hp 0.2
# screen \-d \-m python synthetic_expts.py -a adv -hp 0.4
# screen \-d \-m python synthetic_expts.py -a adv -hp 0.6
# screen \-d \-m python synthetic_expts.py -a adv -hp 0.8
# screen \-d \-m python synthetic_expts.py -a adv -hp 0.9
# screen \-d \-m python synthetic_expts.py -a adv -hp 1.0
# screen \-d \-m python synthetic_expts.py -a adv -hp 1.1
# screen \-d \-m python synthetic_expts.py -a adv -hp 1.5
# screen \-d \-m python synthetic_expts.py -a adv -hp 2.0
# screen \-d \-m python synthetic_expts.py -a adv -hp 3.0
# screen \-d \-m python synthetic_expts.py -a adv -hp 4.0
# screen \-d \-m python synthetic_expts.py -a fs -hp 0.5
# screen \-d \-m python synthetic_expts.py -a fs -hp 0.8
# screen \-d \-m python synthetic_expts.py -a fs -hp 0.85
# screen \-d \-m python synthetic_expts.py -a fs -hp 0.9
# screen \-d \-m python synthetic_expts.py -a fs -hp 0.95
# screen \-d \-m python synthetic_expts.py -a fs -hp 1.0
# screen \-d \-m python synthetic_expts.py -a fs -hp 1.05
# screen \-d \-m python synthetic_expts.py -a fs -hp 1.1
# screen \-d \-m python synthetic_expts.py -a fs -hp 1.2
# screen \-d \-m python synthetic_expts.py -a fs -hp 1.5
# screen \-d \-m python synthetic_expts.py -a fs -hp 2.0
# screen \-d \-m python synthetic_expts.py -a reg -hp 0.2
# screen \-d \-m python synthetic_expts.py -a reg -hp 0.5
# screen \-d \-m python synthetic_expts.py -a reg -hp 0.7
# screen \-d \-m python synthetic_expts.py -a reg -hp 1.0
# screen \-d \-m python synthetic_expts.py -a reg -hp 1.2
# screen \-d \-m python synthetic_expts.py -a reg -hp 1.4
# screen \-d \-m python synthetic_expts.py -a reg -hp 1.8
# screen \-d \-m python synthetic_expts.py -a reg -hp 2.0
# screen \-d \-m python synthetic_expts.py -a reg -hp 3.0
# screen \-d \-m python synthetic_expts.py -a reg -hp 4.0
# screen \-d \-m python synthetic_expts.py -a reg -hp 5.0
| 37.366987 | 136 | 0.697517 | 3,576 | 23,317 | 4.311521 | 0.088926 | 0.033273 | 0.017123 | 0.029965 | 0.738358 | 0.719484 | 0.687832 | 0.665326 | 0.652419 | 0.637112 | 0 | 0.019517 | 0.14959 | 23,317 | 623 | 137 | 37.426966 | 0.758031 | 0.168075 | 0 | 0.585106 | 0 | 0 | 0.082227 | 0.014789 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.057447 | null | null | 0.012766 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 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 | 3 |
453a2742018049e65a52d9001633ae9f304aa4fa | 28 | py | Python | constants.py | cenwangumass/cs590m-homework06 | f2ca68318dcc54503e77dcb62ff973515eaf764a | [
"MIT"
] | null | null | null | constants.py | cenwangumass/cs590m-homework06 | f2ca68318dcc54503e77dcb62ff973515eaf764a | [
"MIT"
] | null | null | null | constants.py | cenwangumass/cs590m-homework06 | f2ca68318dcc54503e77dcb62ff973515eaf764a | [
"MIT"
] | null | null | null | IDLE = "IDLE"
BUSY = "BUSY"
| 9.333333 | 13 | 0.571429 | 4 | 28 | 4 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.214286 | 28 | 2 | 14 | 14 | 0.727273 | 0 | 0 | 0 | 0 | 0 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
18a37a362f29ef2ae5519e1d68048127fb48f719 | 1,544 | py | Python | leetcode/lessons/hash_table/349_intersection_of_two_arrays/__init__.py | wangkuntian/leetcode | e8dc9c8032c805a7d071ad19b94841ee8e52e834 | [
"MIT"
] | null | null | null | leetcode/lessons/hash_table/349_intersection_of_two_arrays/__init__.py | wangkuntian/leetcode | e8dc9c8032c805a7d071ad19b94841ee8e52e834 | [
"MIT"
] | 2 | 2020-03-24T18:00:21.000Z | 2020-03-26T11:33:51.000Z | leetcode/lessons/hash_table/349_intersection_of_two_arrays/__init__.py | wangkuntian/leetcode | e8dc9c8032c805a7d071ad19b94841ee8e52e834 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
__project__ = 'leetcode'
__file__ = '__init__.py'
__author__ = 'king'
__time__ = '2020/1/31 20:25'
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O\ = /O
____/`---'\____
.' \\| |// `.
/ \\||| : |||// \
/ _||||| -:- |||||- \
| | \\\ - /// | |
| \_| ''\---/'' | |
\ .-\__ `-` ___/-. /
___`. .' /--.--\ `. . __
."" '< `.___\_<|>_/___.' >'"".
| | : `- \`.;`\ _ /`;.`/ - ` : | |
\ \ `-. \_ __\ /__ _/ .-` / /
======`-.____`-.___\_____/___.-`____.-'======
`=---='
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
佛祖保佑 永无BUG
"""
"""
难度：简单
给定两个数组，编写一个函数来计算它们的交集。
示例 1:
输入: nums1 = [1,2,2,1], nums2 = [2,2]
输出: [2]
示例 2:
输入: nums1 = [4,9,5], nums2 = [9,4,9,8,4]
输出: [9,4]
说明:
输出结果中的每个元素一定是唯一的。
我们可以不考虑输出结果的顺序。
"""
class Solution(object):
def intersection(self, nums1, nums2):
"""
:type nums1: List[int]
:type nums2: List[int]
:rtype: List[int]
"""
return list(set(nums1) & set(nums2))
print(Solution().intersection([4, 9, 5], [9, 4, 9, 8, 4]))
| 24.125 | 58 | 0.284326 | 100 | 1,544 | 3.62 | 0.55 | 0.022099 | 0.016575 | 0.022099 | 0.027624 | 0 | 0 | 0 | 0 | 0 | 0 | 0.07371 | 0.472798 | 1,544 | 63 | 59 | 24.507937 | 0.371007 | 0.720855 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0 | 0 | 0.75 | 0.25 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
18b2748d4db3f32aa2c547796c669a19b6491fcb | 232 | py | Python | setup.py | doandv-java/detect-yolo | e36dd94557431a3833220fdcfe0dad794c6bc828 | [
"MIT"
] | null | null | null | setup.py | doandv-java/detect-yolo | e36dd94557431a3833220fdcfe0dad794c6bc828 | [
"MIT"
] | null | null | null | setup.py | doandv-java/detect-yolo | e36dd94557431a3833220fdcfe0dad794c6bc828 | [
"MIT"
] | null | null | null | from setuptools import setup
setup(name='yolov3_tf2',
version='0.1',
url='https://github.com/zzh8829/yolov3-tf2',
author='Zihao Zhang',
author_email='zzh8829@gmail.com',
packages=['yolov3_tf2']) | 29 | 51 | 0.633621 | 29 | 232 | 4.965517 | 0.724138 | 0.1875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.086957 | 0.206897 | 232 | 8 | 52 | 29 | 0.695652 | 0 | 0 | 0 | 0 | 0 | 0.389381 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.142857 | 0 | 0.142857 | 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 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
18b70f312f7bc7a978f8b4dac5d2e717efd5e67a | 635 | py | Python | intake/container/ndarray.py | ah-/intake | 1c971a9e579a18be603b4a74a71dbc111afbcb0c | [
"BSD-2-Clause"
] | null | null | null | intake/container/ndarray.py | ah-/intake | 1c971a9e579a18be603b4a74a71dbc111afbcb0c | [
"BSD-2-Clause"
] | null | null | null | intake/container/ndarray.py | ah-/intake | 1c971a9e579a18be603b4a74a71dbc111afbcb0c | [
"BSD-2-Clause"
] | null | null | null | import msgpack
import numpy as np
import msgpack_numpy
from .base import BaseContainer
class NdArray(BaseContainer):
@staticmethod
def merge(parts):
raise Exception('Need to implement ndarray case')
@staticmethod
def to_dask(parts, dtype):
raise Exception('Need to implement ndarray case')
@staticmethod
def encode(obj):
return msgpack.packb(obj, default=msgpack_numpy.encode)
@staticmethod
def decode(bytestr):
return msgpack.unpackb(bytestr, object_hook=msgpack_numpy.decode)
@staticmethod
def read(chunks):
return np.concatenate(chunks, axis=0) | 22.678571 | 73 | 0.703937 | 75 | 635 | 5.893333 | 0.493333 | 0.169683 | 0.081448 | 0.090498 | 0.248869 | 0.248869 | 0.248869 | 0.248869 | 0.248869 | 0 | 0 | 0.002012 | 0.217323 | 635 | 28 | 74 | 22.678571 | 0.887324 | 0 | 0 | 0.35 | 0 | 0 | 0.09434 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.2 | 0.15 | 0.65 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
18bcb33e2c36ca40bd83b6f3e06dad0e7e7042de | 68 | py | Python | app/src/main/python/youtubedl/version.py | daniel-sudz/youtubedl-mobile | c68f141a4c22b2f359eb5e15d855ed31f4faa6eb | [
"MIT"
] | 4 | 2019-07-18T01:44:07.000Z | 2019-11-22T14:11:39.000Z | app/src/main/python/youtubedl/version.py | daniel-sudz/youtubedl-mobile | c68f141a4c22b2f359eb5e15d855ed31f4faa6eb | [
"MIT"
] | null | null | null | app/src/main/python/youtubedl/version.py | daniel-sudz/youtubedl-mobile | c68f141a4c22b2f359eb5e15d855ed31f4faa6eb | [
"MIT"
] | 1 | 2019-12-05T15:05:50.000Z | 2019-12-05T15:05:50.000Z | from __future__ import unicode_literals
__version__ = '2019.07.12'
| 17 | 39 | 0.808824 | 9 | 68 | 5.111111 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.133333 | 0.117647 | 68 | 3 | 40 | 22.666667 | 0.633333 | 0 | 0 | 0 | 0 | 0 | 0.147059 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
18e6d6eb8c7c6f9128162d1bd1f24040f068a80e | 460 | py | Python | PRATICAR.py | klebervieirati/PYTHON | 1bb03e775df2ff0d996aab0e3ce8f6f058bc5a05 | [
"MIT"
] | null | null | null | PRATICAR.py | klebervieirati/PYTHON | 1bb03e775df2ff0d996aab0e3ce8f6f058bc5a05 | [
"MIT"
] | null | null | null | PRATICAR.py | klebervieirati/PYTHON | 1bb03e775df2ff0d996aab0e3ce8f6f058bc5a05 | [
"MIT"
] | null | null | null | print ('\n\nSistema de Cadastro Pessoal')
print ('______________________________________')
nome = input('\nESCREVA SEU NOME COMPLETO.: ')
idade = int(input('\nDIGA QUANTOS ANOS VOCÊ TEM?.: '))
peso = input('\nDIGITE SEU PESO !.: ')
print('========================================================\n')
print ('Seu nome é {}\nE você tem {} Anos\nE pesa {} Quilos'.format(nome,idade,peso))
print('\n========================================================\n')
| 35.384615 | 85 | 0.51087 | 46 | 460 | 4.282609 | 0.543478 | 0.091371 | 0.101523 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.102174 | 460 | 12 | 86 | 38.333333 | 0.476998 | 0 | 0 | 0 | 0 | 0 | 0.7 | 0.33913 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.625 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
18edb7e6dbf3862deeedbb272cb4330fb8412a96 | 210 | py | Python | tests/slim_testing_config.py | avalentino/slim | 4b037ebe37325069183b841242f83f00411eae61 | [
"MIT"
] | 1 | 2016-12-29T18:05:22.000Z | 2016-12-29T18:05:22.000Z | tests/slim_testing_config.py | avalentino/slim | 4b037ebe37325069183b841242f83f00411eae61 | [
"MIT"
] | null | null | null | tests/slim_testing_config.py | avalentino/slim | 4b037ebe37325069183b841242f83f00411eae61 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
TESTING = True
SECURITY_PASSWORD_HASH = 'plaintext'
SQLALCHEMY_DATABASE_URI = 'sqlite://'
SLIM_FILE_LOGGING_LEVEL = None
# LOGIN_DISABLED = True
# PRESERVE_CONTEXT_ON_EXCEPTION = False
| 23.333333 | 39 | 0.761905 | 26 | 210 | 5.730769 | 0.961538 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005435 | 0.12381 | 210 | 8 | 40 | 26.25 | 0.804348 | 0.385714 | 0 | 0 | 0 | 0 | 0.144 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.25 | 0 | 0 | 0 | 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 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
e13ead3131e4730fd69f85d2db25383cd59c99c1 | 338 | py | Python | backend/nodes/admin.py | solitariaa/CMPUT404-project-socialdistribution | f9e23a10e209f8bf7ed062e105f44038751f7c74 | [
"W3C-20150513"
] | 1 | 2022-03-01T03:03:40.000Z | 2022-03-01T03:03:40.000Z | backend/nodes/admin.py | solitariaa/CMPUT404-project-socialdistribution | f9e23a10e209f8bf7ed062e105f44038751f7c74 | [
"W3C-20150513"
] | 51 | 2022-02-09T06:18:27.000Z | 2022-03-28T19:01:54.000Z | backend/nodes/admin.py | solitariaa/CMPUT404-project-socialdistribution | f9e23a10e209f8bf7ed062e105f44038751f7c74 | [
"W3C-20150513"
] | 2 | 2022-03-13T20:58:10.000Z | 2022-03-19T06:29:56.000Z | from django.contrib import admin
from django.urls import reverse
from django.utils.safestring import mark_safe
from .models import Node
class NodeAdmin(admin.ModelAdmin):
ordering = ('name',)
search_fields = ('name', 'host')
list_display = ('name', 'host', 'username', 'password')
admin.site.register(Node, NodeAdmin)
| 24.142857 | 59 | 0.718935 | 42 | 338 | 5.714286 | 0.642857 | 0.125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.156805 | 338 | 13 | 60 | 26 | 0.842105 | 0 | 0 | 0 | 0 | 0 | 0.106509 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.111111 | 0.444444 | 0 | 0.888889 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 3 |
e140b6621336f87088b76c9f3e87521bc3042832 | 224 | py | Python | apps/usuarios/models.py | RagAndRoll/BlueList | 12e9cc03ac35c2c82c96cb4bfe89d227646a15a3 | [
"MIT"
] | null | null | null | apps/usuarios/models.py | RagAndRoll/BlueList | 12e9cc03ac35c2c82c96cb4bfe89d227646a15a3 | [
"MIT"
] | null | null | null | apps/usuarios/models.py | RagAndRoll/BlueList | 12e9cc03ac35c2c82c96cb4bfe89d227646a15a3 | [
"MIT"
] | null | null | null | # from django.db import models
# Create your models here.
# comentarios, sera un capo de texto mas relacion comentario a comentario
# los itens que pueden ser comentados tendran la llave foranea
# el delete no en casacada
| 28 | 73 | 0.78125 | 35 | 224 | 5 | 0.942857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.183036 | 224 | 7 | 74 | 32 | 0.956284 | 0.941964 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 3 |
e15ab695501902033016a101ef60aca490b44121 | 1,985 | py | Python | test/unit/test_config.py | managedbyq/q-dbt | 01f1918fe5cbf3036b7197b8e3211960403718f3 | [
"Apache-2.0"
] | 1 | 2018-06-20T17:51:20.000Z | 2018-06-20T17:51:20.000Z | test/unit/test_config.py | managedbyq/q-dbt | 01f1918fe5cbf3036b7197b8e3211960403718f3 | [
"Apache-2.0"
] | null | null | null | test/unit/test_config.py | managedbyq/q-dbt | 01f1918fe5cbf3036b7197b8e3211960403718f3 | [
"Apache-2.0"
] | 1 | 2018-10-18T18:45:38.000Z | 2018-10-18T18:45:38.000Z | import os
import unittest
import yaml
import dbt.config
if os.name == 'nt':
TMPDIR = 'c:/Windows/TEMP'
else:
TMPDIR = '/tmp'
class ConfigTest(unittest.TestCase):
def set_up_empty_config(self):
profiles_path = '{}/profiles.yml'.format(TMPDIR)
with open(profiles_path, 'w') as f:
f.write(yaml.dump({}))
def set_up_config_options(self, **kwargs):
profiles_path = '{}/profiles.yml'.format(TMPDIR)
config = {
'config': kwargs
}
with open(profiles_path, 'w') as f:
f.write(yaml.dump(config))
def tearDown(self):
profiles_path = '{}/profiles.yml'.format(TMPDIR)
try:
os.remove(profiles_path)
except:
pass
def test__implicit_opt_in(self):
self.set_up_empty_config()
config = dbt.config.read_config(TMPDIR)
self.assertTrue(dbt.config.send_anonymous_usage_stats(config))
def test__explicit_opt_out(self):
self.set_up_config_options(send_anonymous_usage_stats=False)
config = dbt.config.read_config(TMPDIR)
self.assertFalse(dbt.config.send_anonymous_usage_stats(config))
def test__explicit_opt_in(self):
self.set_up_config_options(send_anonymous_usage_stats=True)
config = dbt.config.read_config(TMPDIR)
self.assertTrue(dbt.config.send_anonymous_usage_stats(config))
def test__implicit_colors(self):
self.set_up_empty_config()
config = dbt.config.read_config(TMPDIR)
self.assertTrue(dbt.config.colorize_output(config))
def test__explicit_opt_out(self):
self.set_up_config_options(use_colors=False)
config = dbt.config.read_config(TMPDIR)
self.assertFalse(dbt.config.colorize_output(config))
def test__explicit_opt_in(self):
self.set_up_config_options(use_colors=True)
config = dbt.config.read_config(TMPDIR)
self.assertTrue(dbt.config.colorize_output(config))
| 29.626866 | 71 | 0.672544 | 256 | 1,985 | 4.90625 | 0.234375 | 0.093153 | 0.052548 | 0.062102 | 0.788217 | 0.788217 | 0.756369 | 0.694268 | 0.679936 | 0.66879 | 0 | 0 | 0.220151 | 1,985 | 66 | 72 | 30.075758 | 0.81137 | 0 | 0 | 0.42 | 0 | 0 | 0.03728 | 0 | 0 | 0 | 0 | 0 | 0.12 | 1 | 0.18 | false | 0.02 | 0.08 | 0 | 0.28 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 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 | 3 |
e162a57aecad5276810ea272b886660613b5a8a8 | 315 | py | Python | vmec/example_call_surface.py | gjhartwell/cth-python | 558148a5755fd0bd3b12e1380d365f8bf51efa19 | [
"MIT"
] | null | null | null | vmec/example_call_surface.py | gjhartwell/cth-python | 558148a5755fd0bd3b12e1380d365f8bf51efa19 | [
"MIT"
] | null | null | null | vmec/example_call_surface.py | gjhartwell/cth-python | 558148a5755fd0bd3b12e1380d365f8bf51efa19 | [
"MIT"
] | null | null | null | import numpy as np
import xarray as ncdata
import matplotlib.pyplot as plt
from mayavi import mlab # to overrid plt.mlab
from surface import *
import os
cwd = os.getcwd()
name = cwd + "/wout_vmec.nc"
#x, y , z = plot_vmec_surface(name,plottype='surface3d')
plot_vmec_surface(name,plottype='cross-section',zeta=360)
| 28.636364 | 57 | 0.765079 | 52 | 315 | 4.538462 | 0.615385 | 0.067797 | 0.127119 | 0.161017 | 0.228814 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014599 | 0.130159 | 315 | 10 | 58 | 31.5 | 0.846715 | 0.234921 | 0 | 0 | 0 | 0 | 0.109244 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.666667 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
e17ddfee1dc335b3323bbf28dd3955b87c67fa4a | 21 | py | Python | projects/borrow-a-book/api/src/secret.py | anouaraissani/H4ckT0b3rF3st-2k20 | 1f77652add0effdc7462c829dfb88d5f6818d07e | [
"MIT"
] | 27 | 2020-10-04T14:11:54.000Z | 2021-05-14T03:51:43.000Z | projects/borrow-a-book/api/src/secret.py | anouaraissani/H4ckT0b3rF3st-2k20 | 1f77652add0effdc7462c829dfb88d5f6818d07e | [
"MIT"
] | 56 | 2020-10-06T06:38:54.000Z | 2020-11-25T10:22:40.000Z | projects/borrow-a-book/api/src/secret.py | anouaraissani/H4ckT0b3rF3st-2k20 | 1f77652add0effdc7462c829dfb88d5f6818d07e | [
"MIT"
] | 63 | 2020-10-04T12:46:09.000Z | 2021-01-10T16:35:53.000Z | SALT = 'change this'
| 10.5 | 20 | 0.666667 | 3 | 21 | 4.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.190476 | 21 | 1 | 21 | 21 | 0.823529 | 0 | 0 | 0 | 0 | 0 | 0.52381 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
e182755a60efe85eb57572745046ed933f34905a | 662 | py | Python | data_resource_api/api/core/versioned_resource.py | brighthive/tpot-programs-api | 425861f279fa25e3b42b57eb6894fc9f34b08b28 | [
"MIT"
] | null | null | null | data_resource_api/api/core/versioned_resource.py | brighthive/tpot-programs-api | 425861f279fa25e3b42b57eb6894fc9f34b08b28 | [
"MIT"
] | 1 | 2021-06-01T23:48:03.000Z | 2021-06-01T23:48:03.000Z | data_resource_api/api/core/versioned_resource.py | brighthive/tpot-programs-api | 425861f279fa25e3b42b57eb6894fc9f34b08b28 | [
"MIT"
] | 1 | 2020-04-29T18:19:09.000Z | 2020-04-29T18:19:09.000Z | """ Versioned Resource
This class extends the Flask-Restful Resource class with the ability to look
up the API version number in a request header.
"""
from flask_restful import Resource
from data_resource_api.config import Config
class VersionedResource(Resource):
def __init__(self):
Resource.__init__(self)
def get_api_version(self, headers):
try:
api_version = headers['X-Api-Version']
except Exception:
api_version = Config.get_api_version()
return api_version
def get_request_handler(self, headers):
""" Override this method to provide the request handler. """
pass
| 25.461538 | 76 | 0.693353 | 84 | 662 | 5.22619 | 0.47619 | 0.159453 | 0.059226 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.23716 | 662 | 25 | 77 | 26.48 | 0.869307 | 0.297583 | 0 | 0 | 0 | 0 | 0.028889 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.230769 | false | 0.076923 | 0.153846 | 0 | 0.538462 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 |
e1933330f218ac04a3231dde5003a755445cb62b | 1,680 | py | Python | src/warrior.py | marcinadd/corewars | 6a50c1d7ab3ae9836e0a3aed1c10236bda737ca4 | [
"MIT"
] | null | null | null | src/warrior.py | marcinadd/corewars | 6a50c1d7ab3ae9836e0a3aed1c10236bda737ca4 | [
"MIT"
] | null | null | null | src/warrior.py | marcinadd/corewars | 6a50c1d7ab3ae9836e0a3aed1c10236bda737ca4 | [
"MIT"
] | null | null | null | from src.config import WARRIOR_DEFAULT_NAME
from src.gui.colors import Color
class Warrior:
def __init__(self, instructions=None, processes=None, color=Color.WARRIOR_DEFAULT.value, name=None):
"""
:param instructions: Warrior instruction list; Optional to simplify testing
:param processes: Init warrior with queued processes for testing purposes
"""
self._instructions = instructions if instructions else []
self._processes = processes if processes else []
self._color = color
self._warrior_info = WarriorInfo(name if name else WARRIOR_DEFAULT_NAME)
def add_process(self, position):
"""
Adds process to warrior processes queue list
:param position:int: Address in core
"""
self._processes.append(position)
def processes(self):
return self._processes
def color(self):
return self._color
def set_color(self, color):
self._color = color
def warrior_info(self):
return self._warrior_info
def instructions(self):
return self._instructions
class WarriorInfo:
"""
Warrior details name, wins, ties, loses for game results
"""
def __init__(self, name):
self._name = name
self._wins = 0
self._ties = 0
self._loses = 0
def inc_wins(self):
self._wins += 1
def inc_ties(self):
self._ties += 1
def inc_loses(self):
self._loses += 1
def wins(self):
return self._wins
def ties(self):
return self._ties
def loses(self):
return self._loses
def name(self):
return self._name
| 23.661972 | 104 | 0.630952 | 202 | 1,680 | 5.039604 | 0.267327 | 0.078585 | 0.11002 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005013 | 0.2875 | 1,680 | 70 | 105 | 24 | 0.845447 | 0.171429 | 0 | 0.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.375 | false | 0 | 0.05 | 0.2 | 0.675 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
e1a932f43d464f192e8bea26a578d81268c5cb3a | 171 | py | Python | tests/py_test_lib/test_package/firstdir/call_from_first.py | iduartgomez/rustypy | b6d0f5ba7e4961bed75f454a21dd3ce25243faee | [
"BSD-3-Clause"
] | 40 | 2016-07-02T13:30:50.000Z | 2021-03-19T06:33:50.000Z | tests/py_test_lib/test_package/firstdir/call_from_first.py | iduartgomez/rustypy | b6d0f5ba7e4961bed75f454a21dd3ce25243faee | [
"BSD-3-Clause"
] | 5 | 2017-06-17T17:13:57.000Z | 2020-04-28T08:15:33.000Z | tests/py_test_lib/test_package/firstdir/call_from_first.py | iduartgomez/rustypy | b6d0f5ba7e4961bed75f454a21dd3ce25243faee | [
"BSD-3-Clause"
] | 5 | 2016-09-07T07:46:56.000Z | 2019-10-14T14:54:53.000Z | from rustypy.pywrapper import rust_bind
@rust_bind
def first_module() -> None:
print('... called from first module')
if __name__ == "__main__":
first_module()
| 15.545455 | 41 | 0.695906 | 22 | 171 | 4.863636 | 0.681818 | 0.308411 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.181287 | 171 | 10 | 42 | 17.1 | 0.764286 | 0 | 0 | 0 | 0 | 0 | 0.210526 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | true | 0 | 0.166667 | 0 | 0.333333 | 0.166667 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
e1bd09b9c9cedb9212065bc232e9a3e67d43fa60 | 44,906 | py | Python | test/integration/wikiclir.py | eugene-yang/ir_datasets | 2b5a42edfb9ab8c4ee8f11674ffe14d60f41ec1e | [
"Apache-2.0"
] | null | null | null | test/integration/wikiclir.py | eugene-yang/ir_datasets | 2b5a42edfb9ab8c4ee8f11674ffe14d60f41ec1e | [
"Apache-2.0"
] | null | null | null | test/integration/wikiclir.py | eugene-yang/ir_datasets | 2b5a42edfb9ab8c4ee8f11674ffe14d60f41ec1e | [
"Apache-2.0"
] | null | null | null | import re
import unittest
from ir_datasets.datasets.wikiclir import WikiClirDoc, WikiClirQuery
from ir_datasets.formats import TrecQrel
from .base import DatasetIntegrationTest
class TestWikiclir(DatasetIntegrationTest):
def test_docs(self):
self._test_docs('wikiclir/ar', count=535118, items={
0: WikiClirDoc('7', 'ماء', re.compile('^ الماء هو سائل شفاف لا لون لهُ ولا رائحة، ويوجد في الكرة الأرضية في المسطّحات المائيّة من الجداول وا.{959}يّة في المناطق القطبيّة، في حين تتواجد 0\\.3 % من الماء العذب في الأنهار والبحيرات وفي الغلاف الجوّي \\.$', flags=48)),
9: WikiClirDoc('90', 'عنكبوت', re.compile('^ الرُتَيْلاوات رتبة من صف العنكبيات، وهي أكبر رتبة في هذا الصف، إذا تشمل أكثر من 40,000 نوع في 3700 .{1001}نها تقضي معظم وقتها في اصطياد الحشرات والفتك بها \\. فلولاها لتكاثرت الحشرات وأتت على الأخضر واليابس \\.$', flags=48)),
535117: WikiClirDoc('3769734', 'ريجينا سنيفر', re.compile("^ ريجينا سنيفرهي كاتبة ولدت في لبنان في عام 1962 \\. كتبت العديد من الكتب، ونشر آخرها في عام 2013، '' ب.{341} الحرب '' في لبنان، كتاب ترجم إلى اللغة العربية وحرره الفارابي في يوليو / تموز 2008 وقبله جورج قرم \\.$", flags=48)),
})
self._test_docs('wikiclir/ca', count=548722, items={
0: WikiClirDoc('1', 'Àbac', re.compile("^àbac l'àbac \\( del llatí `` abăcus '' , i grec άβαξ\\-ακος , que significa `` taula '' \\) és una eina pe.{962}e napier i permeten llegir directament el resultat de la multiplicació sense fer sumes intermèdies \\.$", flags=48)),
9: WikiClirDoc('18', 'Aeròbic', re.compile("^ laeròbic és una modalitat de gimnàstica sueca amb acompanyament musical que consisteix en una sèrie.{931} la combinació d'exercicis aeròbics amb tonificació dels músculs , també anomenat `` body power \\. ''$", flags=48)),
548721: WikiClirDoc('1514683', 'Bepink-Cogeas', re.compile('^ el bepink\\-cogeas \\( codi uci : bpk \\) és un equip ciclista femení italià \\. creat al 2012 , té categor.{367}\\- web oficial \\- plantilles i resultats a cyclebase\\.nl \\- plantilles i resultats a procyclingstats\\.com$', flags=48)),
})
self._test_docs('wikiclir/zh', count=951480, items={
0: WikiClirDoc('13', '数学', re.compile('^ 数学是利用符号语言研究数量、结构、变化以及空间等概念的一门学科，从某种角度看属于形式科学的一种。数学透过抽象化和逻辑推理的使用，由计数、计算、量度和对物体形状及运动的观察而产生。数学家们拓展这些概念.{939}问 ” ）。 史前的人类就已尝试用自然的法则来衡量物质的多少、时间的长短等抽象的数量关系，比如时间单位有日、季节和年等。算术（加减乘除）也自然而然地产生了。古代的石碑及泥版亦证实了当时已有几何的知识。$', flags=48)),
9: WikiClirDoc('53', '经济学', re.compile('^ 经济学是一门对产品和服务的生产、分配以及消费进行研究的社会科学。西方语言中的 “ 经济学 ” 一词源于古希腊的。起初这一领域被称为政治经济学，但19世纪经济学家採用简短的「经济学」一词来代表「经济科.{881}过度广泛，而且无法将分析的范围侷限在对于市场的研究上。然而，自从1960年代起，由于理性选择理论和其引发的赛局理论不断将经济学的研究领域扩张，这个定义已经获得广泛认同，尽管仍有一些对此定义的批评存在。$', flags=48)),
951479: WikiClirDoc('5795145', '族群', re.compile('^ 族群（），是指一群人，他们认为彼此共享了相同的祖先、血缘、外貌、历史、文化、习俗、语言、地域、宗教、生活习惯与国家体验等，因此形成一个共同的群体。为区分我族及「他者」的分类方式之一。族群含义在20世.{689}或方言分类，如客家人、闽南人。 宗教层面 \\. \\- 按宗教信仰对人群分类，如信仰伊斯兰教的群体穆斯林。 参见 \\. \\- 国民（nation） \\- 人种（race） \\- 民系 \\- 氏族 \\- 部落 \\- 原住民$', flags=48)),
})
self._test_docs('wikiclir/cs', count=386906, items={
0: WikiClirDoc('10', 'Astronomie', re.compile('^ astronomie , řecky αστρονομία z άστρον \\( astron \\) hvězda a νόμος \\( nomos \\) zákon , česky též hvězdá.{845} , například planet ve sluneční soustavě \\. základem nebeské mechaniky jsou práce keplera a newtona \\.$', flags=48)),
9: WikiClirDoc('21', 'Matematika', re.compile("^ matematika \\( z řeckého \\( `` mathematikós '' \\) = `` milující poznání '' ; \\( `` máthema '' \\) = `` věd.{1089}kem v reálném světě \\. některé obory čisté matematiky se nacházejí na pomezí s logikou či filozofií \\.$", flags=48)),
386905: WikiClirDoc('1319204', 'Helena Rubinsteinová', re.compile("^ helena rubinsteinová , rodným jménem chaja rubinsteinová \\( 25\\. prosince 1872 , krakov – 1\\. dubna 19.{1121}aci `` helena rubinstein foundation '' , kterou založila \\. byla sestřenicí filozofa martina bubera \\.$", flags=48)),
})
self._test_docs('wikiclir/nl', count=1908260, items={
0: WikiClirDoc('1', 'Albert Speer', re.compile('^ berthold konrad hermann albert speer \\( mannheim , 19 maart 1905 – londen , 1 september 1981 \\) was e.{1195}ald in 1927 bleef speer nog meerdere jaren , als tessenows assistent , aan de hogeschool verbonden \\.$', flags=48)),
9: WikiClirDoc('13', 'Astronomie', re.compile('^ astronomie of sterrenkunde is de wetenschap die zich bezighoudt met de observatie en de studie van .{949}eten bijvoorbeeld zijn meestal ontleend aan amateurastronomen die deze komeet als eerste waarnamen \\.$', flags=48)),
1908259: WikiClirDoc('4848272', 'Karen Briggs (judoka)', re.compile('^karen briggs \\( judoka \\) karen valerie briggs \\( kingston upon hull , 11 april 1963 \\) is een voormalig.{884}land \\( – 48 kg \\) \\- – 1991 praag , tsjecho\\-slowakije \\( – 48 kg \\) \\- – 1981 madrid , spanje \\( – 48 kg \\)$', flags=48)),
})
self._test_docs('wikiclir/fi', count=418677, items={
0: WikiClirDoc('1', 'Amsterdam', re.compile('^ amsterdam on alankomaiden pääkaupunki \\. amsterdam on väkiluvultaan alankomaiden suurin kaupunki , h.{1173}voi , kun se pystyi viemään yhä useampaa tuotetta muualle eurooppaan vapaasti , esimerkiksi olutta \\.$', flags=48)),
9: WikiClirDoc('14', 'Aleksis Kivi', re.compile('^ aleksis kivi \\( oikealta nimeltään alexis stenvall \\) \\( 10\\. lokakuuta 1834 nurmijärvi – 31\\. joulukuut.{1117}johan stenvall oli merimies \\. kirjailijan oma isä erik stenvall oli asunut lapsuutensa helsingissä \\.$', flags=48)),
418676: WikiClirDoc('1401493', 'Jordan Rowley', ' jordan rowley ( s. 3. huhtikuuta 1990 edmonton ) on jääkiekkoilija , joka pelaa lahden pelicansissa .'),
})
self._test_docs('wikiclir/fr', count=1894397, items={
0: WikiClirDoc('3', 'Antoine Meillet', re.compile("^ paul jules antoine meillet , né le à moulins \\( allier \\) et mort le à châteaumeillant \\( cher \\) , est.{884}a au linguiste auguste carrière à la tête de la chaire d'arménien à l'école des langues orientales \\.$", flags=48)),
9: WikiClirDoc('19', 'Algorithme', re.compile("^ un algorithme est une suite finie et non ambiguë d ’ opérations ou d'instructions permettant de rés.{1688}nécessaire pour amener un algorithme à son terme , en fonction de la quantité de données à traiter \\.$", flags=48)),
1894396: WikiClirDoc('11055655', 'Elisabeth Maxwell', re.compile("^ elisabeth `` betty '' maxwell , née meynard , née le et morte le , est une historienne d'origine fr.{866}mpire de la presse \\. elle donne naissance à 9 enfants , mais deux d ’ entre eux meurent en bas\\-âge \\.$", flags=48)),
})
self._test_docs('wikiclir/de', count=2091278, items={
0: WikiClirDoc('1', 'Alan Smithee', re.compile("^ alan smithee steht als pseudonym für einen fiktiven regisseur , der filme verantwortet , bei denen .{1223}ariante `` alan smithee '' war das anagramm `` the alias men '' vermutlich kein entstehungsgrund \\) \\.$", flags=48)),
9: WikiClirDoc('17', 'Liste von Autoren/K', ' kh . - yasmina khadra ( * 1955 )'),
2091277: WikiClirDoc('10015849', 'Soli (BiH)', re.compile('^soli \\( bih \\) soli war ein bosnisches gebiet \\( oblast \\) und eine gespanschaft im mittelalter \\. das ze.{1109} teil des sandžaks zvornik \\( zvornički sandžak \\) und des kadiluk srebrenik \\( srebrenički kadiluk \\) \\.$', flags=48)),
})
self._test_docs('wikiclir/it', count=1347011, items={
0: WikiClirDoc('2', 'Armonium', re.compile("^ l'armonium o armonio \\( in francese , `` harmonium '' \\) è un tipo di organo costituito da una tastie.{1119}quella più alta e , rispettivamente , svolgono l'azione verso l'ottava bassa e verso l'ottava alta \\.$", flags=48)),
9: WikiClirDoc('20', 'Abbie Hoffman', re.compile('^ di origini ebraiche , dotato di una personalità sardonica e vulcanica , di orientamento anarchico e.{937}ers \\( degli attori diventati attivisti sociali \\) , distribuendo cibo gratis e organizzando alloggi \\.$', flags=48)),
1347010: WikiClirDoc('6494686', 'Superflat', re.compile("^ il `` superflat '' è un movimento artistico postmoderno , influenzato dai manga e dagli anime , fon.{959}e boy : the arts of japan ’ s exploding subculture \\. new york : japan society \\. isbn 0\\-913304\\-57\\-3 \\.$", flags=48)),
})
self._test_docs('wikiclir/ja', count=1071292, items={
0: WikiClirDoc('5', 'アンパサンド', re.compile("^ アンパサンド \\( , \\& \\) とは「…と…」を意味する記号である。ラテン語の の合字で、trebuchet msフォントでは、と表示され `` et '' の合字であることが容易にわかる。amper.{874}グル \\) （アンド）は、浜崎あゆみが2003年に発売した4曲入りマキシシングル。 \\- \\& \\( 一青窈のアルバム \\) （アンド）は、一青窈が2005年に発売したアルバム、及び同アルバムに収録された楽曲。$", flags=48)),
9: WikiClirDoc('43', 'コケ植物', re.compile('^ コケ植物（コケしょくぶつ、）とは、陸上植物かつ非維管束植物であるような植物の総称、もしくはそこに含まれる植物のこと。コケ類（コケるい）や蘚苔類（せんたいるい）、蘚苔植物（せんたいしょくぶつ）などとも.{861}糸状の原糸体（げんしたい、protonema）というものを形成する。原糸体は葉緑体をもち、基質表面に伸びた後、その上に植物体が発達を始め配偶体となる。なお、一部に生涯にわたって原糸体を持つものがある。$', flags=48)),
1071291: WikiClirDoc('3641139', '若杉明', re.compile('^ 若杉明（わかすぎ あきら、1929年11月19日\\- \\) は、日本の会計学者、横浜国立大学名誉教授。 横須賀市出身。1958年東京大学大学院経済学会計学博士課程満期退学。68年「実現概念の展開 その会.{814} \\& aの財務・会計戦略』編著 ビジネス教育出版社 1989 \\- 『ソフト化社会と会計』編著 ビジネス教育出版社 1989 \\- 『リストラクチャリングの財務・会計戦略』編 ビジネス教育出版社 1991$', flags=48)),
})
self._test_docs('wikiclir/ko', count=394177, items={
0: WikiClirDoc('5', '지미 카터', re.compile("^ 제임스 얼 `` 지미 '' 카터 주니어 \\( , 1924년 10월 1일 \\~ \\) 는 민주당 출신 미국 39번째 대통령 \\( 1977년 \\~ 1981년 \\) 이다 \\. 지미 카터는 조지아 주.{1114}신 6,000명을 감축하는 데 그쳤다 \\. 또한 박정희 정권의 인권 문제 등과의 논란으로 불협화음을 냈으나 , 1979년 6월 하순 , 대한민국을 방문하여 관계가 다소 회복되었다 \\.$", flags=48)),
9: WikiClirDoc('31', '음계', re.compile('^ 음계 \\( 音階 \\) 는 음악에서 음높이 \\( pitch \\) 순서로 된 음의 집합을 말한다 \\. 악곡을 주로 구성하는 음을 나타낸 것이며 음계의 종류에 따라 곡의 분위기가 달라진다 \\. .{888} 變徵 \\) \\-올림화 \\( fa \\) ·치\\-솔·우\\-라·변궁 \\( 變宮 \\) \\-시로 7음계를 많이 쓴다 \\. 한국 전통 음악에서는 5음계 외에도 3음계 또는 악계통에서는 7음계 등이 쓰인다 \\.$', flags=48)),
394176: WikiClirDoc('1824675', '안세호', re.compile('^ 안세호 \\( 1981년 2월 17일 \\~ \\) 는 대한민국의 배우이다 \\. 학력 \\. \\- 대진대학교 연극영화학부 출연작 \\. 영화 \\. \\- 《골든슬럼버》 \\( 2017년 \\) \\- 《군함도》 \\( .{445}링》 \\( 2005년 \\) \\- 찌라시청년 역 드라마 \\. \\- 《나의 판타스틱한 장례식》 \\( 2015년 , sbs \\) \\- 동수네 작업반 반장 역 \\- 《삼총사》 \\( 2014년 , tvn \\)$', flags=48)),
})
self._test_docs('wikiclir/no', count=471420, items={
0: WikiClirDoc('2', 'Akershus', re.compile("^ akershus \\( fra norrønt `` akr '' , åker , og `` hús '' , borg eller kastell \\) er et norsk fylke , s.{1272}lsen fylke \\. i 1948 ble aker herred overført fra akershus til å bli en del av oslo \\( by og fylke \\) \\.$", flags=48)),
9: WikiClirDoc('18', 'Atalanta BC', re.compile('^ atalanta bergamasca calcio er en italiensk fotballklubb \\. den ble grunnlagt i 1907 i byen bergamo i.{383} 1978–79 \\) \\- glenn strömberg \\( 1984–85 \\) \\- filippo inzaghi \\( 1996–97 \\) \\- christian vieri \\( 2006–07 \\)$', flags=48)),
471419: WikiClirDoc('1521098', 'VM i vektløfting 1910', ' vm i vektløfting 1910 ( verdensmesterskapet i vektløfting ) ble arrangert i düsseldorf og wien i to forskjellige turneringer i 1910 .'),
})
self._test_docs('wikiclir/nn', count=133290, items={
0: WikiClirDoc('1', 'Hovudside', ' __ingainnhaldsliste__ __ingabolkredigering__'),
9: WikiClirDoc('28', 'Jødedommen', re.compile('^ jødedommen er den religiøse kulturen åt det jødiske folket \\. han er ein av dei først dokumenterte m.{1106} utøvinga av desse lovane og boda slik dei blir tolka av dei ulike antikke og moderne autoritetane \\.$', flags=48)),
133289: WikiClirDoc('341641', 'Harry Danielsen', re.compile('^ harry danielsen var ein norsk skulemann og politikar frå rødøy i nordland \\. han representerte nordl.{883} då medlem i forbrukar\\- og administrasjonskomitéen \\. sommaren 1987 melde danielsen seg ut av høgre \\.$', flags=48)),
})
self._test_docs('wikiclir/pl', count=1234316, items={
0: WikiClirDoc('2', 'AWK', re.compile('^ awk – interpretowany język programowania , którego główną funkcją jest wyszukiwanie i przetwarzanie.{895}dice_2 \\) i wartości , które mają być udostępnione w predefiniowanych zmiennych codice_3 i codice_4 \\.$', flags=48)),
9: WikiClirDoc('15', 'AmigaOS', re.compile('^ amigaos – system operacyjny opracowany przez firmę commodore international dla produkowanych przez .{942}ta implementacja systemu amigaos pod nazwą aros \\. dostępna jest ona między innymi na platformę x86 \\.$', flags=48)),
1234315: WikiClirDoc('4059443', 'Sóweczka ekwadorska', re.compile("^ sóweczka ekwadorska \\( `` glaucidium nubicola '' \\) – gatunek małego ptaka z rodziny puszczykowatych .{1006}żej spokrewnione są z dwuplamistymi \\( `` g\\. gnoma '' \\) i kostarykańskimi \\( `` g\\. costaricanum '' \\) \\.$", flags=48)),
})
self._test_docs('wikiclir/pt', count=973057, items={
0: WikiClirDoc('220', 'Astronomia', re.compile("^ astronomia é uma ciência natural que estuda corpos celestes \\( como estrelas , planetas , cometas , .{963}vium '' que , junto com o `` trivium '' , compunha a metodologia de ensino das sete artes liberais \\.$", flags=48)),
9: WikiClirDoc('235', 'Lista de padrões de arquivo gráfico', re.compile('^ \\- amiga interchange file format \\( iff \\) \\- adobe photoshop image \\( psd \\) \\- compuserv graphics interc.{293}f/tiff \\) \\- truevision targa \\( tga \\) \\- windows and os/2 bitmap \\( bmp/dib \\) \\- zsoft paintbrush \\( pcx \\)$', flags=48)),
973056: WikiClirDoc('5499216', 'Chaudhry Muhammad Ali', re.compile('^ chaudhry mohammad ali \\( punjabi , urdu : چوہدری محمد علی\u200e ; 15 de julho de 1905 – 2 de dezembro de .{189}e estado em 1958\\. ao longo da sua carreira , foi também ministro das finanças e ministro da defesa \\.$', flags=48)),
})
self._test_docs('wikiclir/ro', count=376655, items={
0: WikiClirDoc('1', 'Rocarta', re.compile('^ rocarta este o enciclopedie în format electronic care conține articole legate de românia , republic.{1032}imilare tipărite , precum și albume de imagini în care s\\-au investit mai mulți sau mai puțini bani \\.$', flags=48)),
9: WikiClirDoc('24', 'Romania (dezambiguizare)', re.compile('^romania \\( dezambiguizare \\) romania , în această grafie , se poate referi la : \\- capul , mina de baux.{948}ui roman de răsărit în secolele vi și vii , când restul italiei trecuse sub stăpânirea lombarzilor \\.$', flags=48)),
376654: WikiClirDoc('2013894', 'Rezonanță (chimie)', re.compile('^rezonanță \\( chimie \\) în chimie , rezonanța sau mezomeria face referire la oscilarea structurii chimi.{805}r , și nu prin poziția nucleelor \\. vezi și \\. \\- aromaticitate \\- tautomerie \\- delocalizare electronică$', flags=48)),
})
self._test_docs('wikiclir/ru', count=1413945, items={
0: WikiClirDoc('7', 'Литва', re.compile('^литва литва́ \\( \\) , официальное название — лито́вская респу́блика \\( \\) — государство , географически р.{867}олм аукштояс \\( \\) \\( или аукштасис калнас \\( \\) \\) в юго\\-восточной части страны , в 23,5 км от вильнюса \\.$', flags=48)),
9: WikiClirDoc('27', 'Киевская Русь', re.compile("^киевская русь ки́евская русь , древнеру́сское госуда́рство , дре́вняя русь \\( ' , ' , , др\\.\\-сканд \\. `.{909}ической дезинтеграции , что впоследствии сыграло важную роль в процессе объединения русских земель \\.$", flags=48)),
1413944: WikiClirDoc('7070375', 'Перекрёстки (телесериал, 1994)', re.compile('^перекрёстки \\( телесериал , 1994 \\) перекрёстки \\( \\) — мексиканский 68 серийный телесериал 1994 года те.{840}chir \\- orlando soles \\- isabel andrade \\- celia álvarez de soles \\- héctor cruz lara \\- reynaldo álvarez$', flags=48)),
})
self._test_docs('wikiclir/en-simple', count=127089, items={
0: WikiClirDoc('1', 'April', re.compile('^ april is the fourth month of the year , and comes between march and may \\. it is one of four months .{1212}mmediately after that , april finishes on the same day of the week as january of the previous year \\.$', flags=48)),
9: WikiClirDoc('18', 'Andouille', re.compile('^ andouille is a type of pork sausage \\. it is spicy \\( hot in taste \\) and smoked \\. there are different.{560}ane for a maximum of seven or eight hours , at about 175 degrees fahrenheit \\( 80 degrees celsius \\) \\.$', flags=48)),
127088: WikiClirDoc('594702', 'Digital video', re.compile('^ digital video is a representation of moving visual images in the form of encoded \\. this is in contr.{831}include hdmi , displayport , digital visual interface \\( dvi \\) and serial digital interface \\( sdi \\) \\.$', flags=48)),
})
self._test_docs('wikiclir/es', count=1302958, items={
0: WikiClirDoc('7', 'Andorra', re.compile('^ andorra , oficialmente principado de andorra \\( \\) , es un pequeño país soberano del suroeste de euro.{831}a oficial es el catalán que convive con el español y en menor medida con el francés y el portugués \\.$', flags=48)),
9: WikiClirDoc('24', 'Arquitectura', re.compile("^ la arquitectura es el arte y la técnica de proyectar , diseñar , construir y modificar el hábitat h.{1568}ángulos y llevada a término por una mente y una inteligencia culta '' '' \\( del lib \\. i , cap \\. i \\) \\.$", flags=48)),
1302957: WikiClirDoc('8045476', 'Inés Márquez Moreno', re.compile('^ poetisa cuencana nacida el 7 de junio de 1916 , hija del dr\\. ricardo márquez tapia y de la sra \\. ro.{1166}o vega , humberto mata , enrique noboa arízaga , rigoberto cordero león y jacinto cordero espinoza \\.$', flags=48)),
})
self._test_docs('wikiclir/sw', count=37079, items={
0: WikiClirDoc('2', 'Akiolojia', re.compile("^ akiolojia \\( kutoka kiyunani αρχαίος = `` zamani '' na λόγος = `` neno , usemi '' \\) ni somo linalohu.{1003}i ya kiroma , lakini mji uliharibika kabisa na kufunikwa na majivu ya volkeno vesuvio mwaka 79 b\\.k \\.$", flags=48)),
9: WikiClirDoc('33', 'Lugha asilia', re.compile("^ 1\\. lugha asilia ni lugha ambayo ilikua kama sehemu ya utamaduni wa umma fulani ambao watu wake wana.{131} kuzungumzwa na watu , na lugha za kompyuta na za kuandaa programu zinaitwa `` lugha za kuundwa '' \\.$", flags=48)),
37078: WikiClirDoc('92114', 'Kaptura', re.compile('^ kaptura ni vazi lililovaliwa na wanaume na wanawake juu ya eneo la pelvic yao , wakizunguka kiuno n.{272}joto au katika mazingira ambapo faraja na mtiririko wa hewa ni muhimu zaidi kuliko ulinzi wa miguu \\.$', flags=48)),
})
self._test_docs('wikiclir/sv', count=3785412, items={
0: WikiClirDoc('1', 'Amager', re.compile('^ amager är en dansk ö i öresund \\. öns norra och västra delar tillhör köpenhamn , medan övriga delar .{1153}i många köpenhamnsbors ögon , men inställningen håller på att ändras i takt med stigande huspriser \\.$', flags=48)),
9: WikiClirDoc('12', '1 april', re.compile('^ 1 april är den 91 : a dagen på året i den gregorianska kalendern \\( 92 : a under skottår \\) \\. det åte.{923}en fransk abbot från 1100\\-talet , på dagens datum före 1747 , då det utgick till förmån för harald \\.$', flags=48)),
3785411: WikiClirDoc('8048978', 'Surçina', ' surçina ( albanska : surçina , serbiska : svrčina ) är en by i kosovo . den ligger i kommunen ferizaj . enligt den senaste folkräkningen år 2011 fanns det 222 invånare .'),
})
self._test_docs('wikiclir/tl', count=79008, items={
0: WikiClirDoc('5', 'Wikipedia', re.compile('^ ang wikipedia ay isang ensiklopedya na may basehang wiki at may malayang nilalaman \\. ito ay tinataw.{845}l , at apache \\) \\. ang mga kalahok sa wikipediang sumusunod , at pinagtitibay , ang ilang patakaran \\.$', flags=48)),
9: WikiClirDoc('603', 'Astronomiya', re.compile("^ ang dalubtalaan \\( astronomiya \\) ay isang agham na kinapapalooban ng pagmamasid at pagpapaliwanag ng.{963}' = `` astron '' \\+ `` nomos '' , na mayroong literal na kahulugang `` '' batas ng mga bituin '' '' \\.$", flags=48)),
79007: WikiClirDoc('267691', 'Nao Iwadate', ' si nao iwadate ( ipinaganak agosto 17 , 1988 ) ay isang manlalaro ng putbol sa hapon .'),
})
self._test_docs('wikiclir/tr', count=295593, items={
0: WikiClirDoc('10', 'Cengiz Han', re.compile("^ cengiz han \\( `` cenghis khan '' , `` çinggis haan '' ya da doğum adıyla temuçin \\( anlamı : demirci .{1648}a çağırmış ve moğolca için uygur alfabesini uyarlatarak bunu çocuklarına da öğretmesini istemiştir \\.$", flags=48)),
9: WikiClirDoc('40', 'Beşiktaş JK', re.compile("^ beşiktaş jimnastik kulübü , 1903 yılında istanbul'da kurulan spor kulübüdür \\. bereket jimnastik kul.{864}ndan biridir \\. armasında türk bayrağı amblemi taşıma hakkını elde etmiş az sayıda takımdan biridir \\.$", flags=48)),
295592: WikiClirDoc('2268203', 'Prachatice İlçesi', re.compile("^prachatice ilçesi prachatice ilçesi , çek cumhuriyeti'nin güney bohemya bölgesinde bulunan ilçedir \\..{707}zí \\- volary \\- vrbice \\- záblatí \\- zábrdí \\- zálezly \\- zbytiny \\- zdíkov \\- žárovná \\- želnava \\- žernovice$", flags=48)),
})
self._test_docs('wikiclir/uk', count=704903, items={
0: WikiClirDoc('3', 'Головна сторінка', 'головна сторінка'),
9: WikiClirDoc('592', 'Біологія', re.compile('^біологія біоло́гія \\( — життя , — слово ; наука \\) — система наук , що вивчає життя в усіх його проява.{1135}авляють самостійні дисципліни — анатомія , фізіологія , гістологія , біохімія , мікробіологія тощо \\.$', flags=48)),
704902: WikiClirDoc('2485891', 'Хліб, любов і фантазія', re.compile("^хліб , любов і фантазія « хліб .*, що не любить чужої жалості , розриває її .$", flags=48)),
})
self._test_docs('wikiclir/vi', count=1392152, items={
0: WikiClirDoc('4', 'Internet Society', re.compile("^ internet society hay isoc là một tổ chức quốc tế hoạt động phi lợi nhuận , phi chính phủ và bao gồm.{820}d the internet society '' \\- về internet engineering task force và isoc , bài của vint cerf 18/6/1995$", flags=48)),
9: WikiClirDoc('56', 'Lào', re.compile("^ lào \\( , , `` lāo '' \\) , tên chính thức là nước cộng hoà dân chủ nhân dân lào , \\( tiếng lào : ສາທາລະ.{922} kết quả là chấm dứt chế độ quân chủ , phong trào pathet lào theo chủ nghĩa cộng sản lên nắm quyền \\.$", flags=48)),
1392151: WikiClirDoc('6111969', 'Sơn lục đậu', re.compile('^ còn gọi là vọng giang nam , cốt khí mồng , dương giác đậu , giang nam đậu , thạch quyết minh , dã b.{875} ta dùng toàn bộ cây , hay chỉ lá , hái hạt về phơi khô \\. ở việt nam người ta chưa chú ý khai thác \\.$', flags=48)),
})
def test_queries(self):
self._test_queries('wikiclir/ar', count=324489, items={
0: WikiClirQuery('12', 'Anarchism', 'is a political philosophy that advocates self-governed societies based on voluntary institutions.'),
9: WikiClirQuery('324', 'Academy Awards', 'the , now known officially as the oscars, is a set of twenty-four for artistic and technical merit in the american film industry, given annually by the of motion picture arts and sciences (ampas), to recognize excellence in cinematic achievements as assessed by the voting membership.'),
324488: WikiClirQuery('54964051', 'Tal Afar offensive (2017)', 'the is an ongoing announced on 20 august 2017 by iraqi prime minister haider al-abadi in order to liberate the region from the islamic state of iraq and the levant (isil).'),
})
self._test_queries('wikiclir/ca', count=339586, items={
0: WikiClirQuery('12', 'Anarchism', 'is a political philosophy that advocates self-governed societies based on voluntary institutions.'),
9: WikiClirQuery('316', 'Academy Award for Best Production Design', 'the recognizes achievement for art direction in film.'),
339585: WikiClirQuery('54965687', 'Karl Heinrich Gräffe', '(1799-1873) was a german mathematician, who was professor at university of zurich.'),
})
self._test_queries('wikiclir/zh', count=463273, items={
0: WikiClirQuery('12', 'Anarchism', 'is a political philosophy that advocates self-governed societies based on voluntary institutions.'),
9: WikiClirQuery('316', 'Academy Award for Best Production Design', 'the recognizes achievement for art direction in film.'),
463272: WikiClirQuery('54967133', 'United Nations Security Council Resolution 2371', 'the unanimously adopted on august 5, 2017, with approval of all the five permanent members and the ten non-permanent members in response to north korea’s july 2017 missile tests.'),
})
self._test_queries('wikiclir/cs', count=233553, items={
0: WikiClirQuery('12', 'Anarchism', 'is a political philosophy that advocates self-governed societies based on voluntary institutions.'),
9: WikiClirQuery('334', 'International Atomic Time', "(tai, from the french name ) is a high-precision coordinate standard based on the notional passage of proper on earth's geoid."),
233552: WikiClirQuery('54961893', 'Vincenzo Legrenzio Ciampi', '(piacenza, 2 april 1719 – venice, 30 march 1762) was an italian composer.'),
})
self._test_queries('wikiclir/nl', count=687718, items={
0: WikiClirQuery('12', 'Anarchism', 'is a political philosophy that advocates self-governed societies based on voluntary institutions.'),
9: WikiClirQuery('324', 'Academy Awards', 'the , now known officially as the oscars, is a set of twenty-four for artistic and technical merit in the american film industry, given annually by the of motion picture arts and sciences (ampas), to recognize excellence in cinematic achievements as assessed by the voting membership.'),
687717: WikiClirQuery('54967572', 'SV Marken', 'sportvereniging (dutch for "sport club marken", commonly shortened to cv marken, or just marken) is an association football club from marken, netherlands.'),
})
self._test_queries('wikiclir/fi', count=273819, items={
0: WikiClirQuery('12', 'Anarchism', 'is a political philosophy that advocates self-governed societies based on voluntary institutions.'),
9: WikiClirQuery('316', 'Academy Award for Best Production Design', 'the recognizes achievement for art direction in film.'),
273818: WikiClirQuery('54966570', 'Nadezhda Babkina', 'georgieva (; born 19 march, 1950, chyorny yar, astrakhan oblast, soviet union) is а soviet and russian folk and pop singer.'),
})
self._test_queries('wikiclir/fr', count=1089179, items={
0: WikiClirQuery('12', 'Anarchism', 'is a political philosophy that advocates self-governed societies based on voluntary institutions.'),
9: WikiClirQuery('316', 'Academy Award for Best Production Design', 'the recognizes achievement for art direction in film.'),
1089178: WikiClirQuery('54967313', 'Lilly Wood and The Prick au Trianon', 'is a 2013 french musical movie directed by benjamin lemaire.'),
})
self._test_queries('wikiclir/de', count=938217, items={
0: WikiClirQuery('12', 'Anarchism', 'is a political philosophy that advocates self-governed societies based on voluntary institutions.'),
9: WikiClirQuery('316', 'Academy Award for Best Production Design', 'the recognizes achievement for art direction in film.'),
938216: WikiClirQuery('54967235', 'Journal of Risk and Uncertainty', 'the is a bimonthly peer-reviewed academic covering the study of analysis and decision-making under uncertainty.'),
})
self._test_queries('wikiclir/it', count=808605, items={
0: WikiClirQuery('12', 'Anarchism', 'is a political philosophy that advocates self-governed societies based on voluntary institutions.'),
9: WikiClirQuery('316', 'Academy Award for Best Production Design', 'the recognizes achievement for art direction in film.'),
808604: WikiClirQuery('54967555', '1999 Merano Open – Doubles', 'lucas arnold ker and jaime oncins win the title by defeating marc-kevin goellner and eric taino 6–4, 7–6 in the final.'),
})
self._test_queries('wikiclir/ja', count=426431, items={
0: WikiClirQuery('12', 'Anarchism', 'is a political philosophy that advocates self-governed societies based on voluntary institutions.'),
9: WikiClirQuery('316', 'Academy Award for Best Production Design', 'the recognizes achievement for art direction in film.'),
426430: WikiClirQuery('54966134', "Pu'an Signal Station", '() is a railway on the taiwan railways administration (tra) south-link line located in daren township, taitung county, taiwan.'),
})
self._test_queries('wikiclir/ko', count=224855, items={
0: WikiClirQuery('12', 'Anarchism', 'is a political philosophy that advocates self-governed societies based on voluntary institutions.'),
9: WikiClirQuery('316', 'Academy Award for Best Production Design', 'the recognizes achievement for art direction in film.'),
224854: WikiClirQuery('54965501', 'Lee Yoo-jin (actor)', '(hangul: ; born april 6, 1992) is a south korean actor.'),
})
self._test_queries('wikiclir/no', count=299897, items={
0: WikiClirQuery('12', 'Anarchism', 'is a political philosophy that advocates self-governed societies based on voluntary institutions.'),
9: WikiClirQuery('324', 'Academy Awards', 'the , now known officially as the oscars, is a set of twenty-four for artistic and technical merit in the american film industry, given annually by the of motion picture arts and sciences (ampas), to recognize excellence in cinematic achievements as assessed by the voting membership.'),
299896: WikiClirQuery('54967547', 'Wassana Panyapuek', '(born 14 december 1968) is a thai sprinter.'),
})
self._test_queries('wikiclir/nn', count=99493, items={
0: WikiClirQuery('12', 'Anarchism', 'is a political philosophy that advocates self-governed societies based on voluntary institutions.'),
9: WikiClirQuery('339', 'Ayn Rand', "(; born alisa zinov'yevna rosenbaum, ; – march 6, 1982) was a russian-american novelist, philosopher, playwright, and screenwriter."),
99492: WikiClirQuery('54952283', 'Lekamøya', 'is a mountain in the municipality of leka in nord-trøndelag, norway.'),
})
self._test_queries('wikiclir/pl', count=693656, items={
0: WikiClirQuery('12', 'Anarchism', 'is a political philosophy that advocates self-governed societies based on voluntary institutions.'),
9: WikiClirQuery('324', 'Academy Awards', 'the , now known officially as the oscars, is a set of twenty-four for artistic and technical merit in the american film industry, given annually by the of motion picture arts and sciences (ampas), to recognize excellence in cinematic achievements as assessed by the voting membership.'),
693655: WikiClirQuery('54966439', 'Top fermentation', 'or high is a brewing method for beer whereby the yeast floats on of the wort.'),
})
self._test_queries('wikiclir/pt', count=611732, items={
0: WikiClirQuery('12', 'Anarchism', 'is a political philosophy that advocates self-governed societies based on voluntary institutions.'),
9: WikiClirQuery('324', 'Academy Awards', 'the , now known officially as the oscars, is a set of twenty-four for artistic and technical merit in the american film industry, given annually by the of motion picture arts and sciences (ampas), to recognize excellence in cinematic achievements as assessed by the voting membership.'),
611731: WikiClirQuery('54964827', 'Monalysa Alcântara', '(born 26 january 1999) is a brazilian model and beauty pageant titleholder who won miss brasil 2017.'),
})
self._test_queries('wikiclir/ro', count=199264, items={
0: WikiClirQuery('12', 'Anarchism', 'is a political philosophy that advocates self-governed societies based on voluntary institutions.'),
9: WikiClirQuery('316', 'Academy Award for Best Production Design', 'the recognizes achievement for art direction in film.'),
199263: WikiClirQuery('54965687', 'Karl Heinrich Gräffe', '(1799-1873) was a german mathematician, who was professor at university of zurich.'),
})
self._test_queries('wikiclir/ru', count=664924, items={
0: WikiClirQuery('12', 'Anarchism', 'is a political philosophy that advocates self-governed societies based on voluntary institutions.'),
9: WikiClirQuery('324', 'Academy Awards', 'the , now known officially as the oscars, is a set of twenty-four for artistic and technical merit in the american film industry, given annually by the of motion picture arts and sciences (ampas), to recognize excellence in cinematic achievements as assessed by the voting membership.'),
664923: WikiClirQuery('54966570', 'Nadezhda Babkina', 'georgieva (; born 19 march, 1950, chyorny yar, astrakhan oblast, soviet union) is а soviet and russian folk and pop singer.'),
})
self._test_queries('wikiclir/en-simple', count=114572, items={
0: WikiClirQuery('12', 'Anarchism', 'is a political philosophy that advocates self-governed societies based on voluntary institutions.'),
9: WikiClirQuery('324', 'Academy Awards', 'the , now known officially as the oscars, is a set of twenty-four for artistic and technical merit in the american film industry, given annually by the of motion picture arts and sciences (ampas), to recognize excellence in cinematic achievements as assessed by the voting membership.'),
114571: WikiClirQuery('54964009', 'Pyotr Deynekin', 'stepanovich (14 december 1937 – 19 august 2017) was a russian military general.'),
})
self._test_queries('wikiclir/es', count=781642, items={
0: WikiClirQuery('12', 'Anarchism', 'is a political philosophy that advocates self-governed societies based on voluntary institutions.'),
9: WikiClirQuery('324', 'Academy Awards', 'the , now known officially as the oscars, is a set of twenty-four for artistic and technical merit in the american film industry, given annually by the of motion picture arts and sciences (ampas), to recognize excellence in cinematic achievements as assessed by the voting membership.'),
781641: WikiClirQuery('54966770', 'Selene Johnson', '(february 20, 1876-december 11, 1960) was an american stage and silent film actress born in philadelphia, pennsylvania (usa) as knapp johnson.'),
})
self._test_queries('wikiclir/sw', count=22860, items={
0: WikiClirQuery('12', 'Anarchism', 'is a political philosophy that advocates self-governed societies based on voluntary institutions.'),
9: WikiClirQuery('580', 'Astronomer', 'an is a scientist in the field of astronomy who concentrates their studies on a specific question or field outside the scope of earth.'),
22859: WikiClirQuery('54716724', 'Tirax language', 'is an oceanic spoken in north east malakula, vanuatu.'),
})
self._test_queries('wikiclir/sv', count=639073, items={
0: WikiClirQuery('12', 'Anarchism', 'is a political philosophy that advocates self-governed societies based on voluntary institutions.'),
9: WikiClirQuery('316', 'Academy Award for Best Production Design', 'the recognizes achievement for art direction in film.'),
639072: WikiClirQuery('54963595', 'Sirkka Selja', '(sirkka-liisa tulonen; 20 march 1920 – 17 august 2017) was a finnish poet and writer.'),
})
self._test_queries('wikiclir/tl', count=48930, items={
0: WikiClirQuery('12', 'Anarchism', 'is a political philosophy that advocates self-governed societies based on voluntary institutions.'),
9: WikiClirQuery('358', 'Algeria', "( '; , '; ), officially the people's democratic republic of algeria, is a sovereign state in north africa on the mediterranean coast."),
48929: WikiClirQuery('54959191', 'Miho Yoshioka (tarento)', 'she was born from higashiōsaka, osaka prefecture.'),
})
self._test_queries('wikiclir/tr', count=185388, items={
0: WikiClirQuery('12', 'Anarchism', 'is a political philosophy that advocates self-governed societies based on voluntary institutions.'),
9: WikiClirQuery('324', 'Academy Awards', 'the , now known officially as the oscars, is a set of twenty-four for artistic and technical merit in the american film industry, given annually by the of motion picture arts and sciences (ampas), to recognize excellence in cinematic achievements as assessed by the voting membership.'),
185387: WikiClirQuery('54965031', 'Himmet Karadağ', '(born 1974, denizli, turkey) is a turkish bureaucrat and chairman of borsa istanbul the sole exchange entity of turkey.'),
})
self._test_queries('wikiclir/uk', count=348222, items={
0: WikiClirQuery('12', 'Anarchism', 'is a political philosophy that advocates self-governed societies based on voluntary institutions.'),
9: WikiClirQuery('324', 'Academy Awards', 'the , now known officially as the oscars, is a set of twenty-four for artistic and technical merit in the american film industry, given annually by the of motion picture arts and sciences (ampas), to recognize excellence in cinematic achievements as assessed by the voting membership.'),
348221: WikiClirQuery('54966570', 'Nadezhda Babkina', 'georgieva (; born 19 march, 1950, chyorny yar, astrakhan oblast, soviet union) is а soviet and russian folk and pop singer.'),
})
self._test_queries('wikiclir/vi', count=354312, items={
0: WikiClirQuery('12', 'Anarchism', 'is a political philosophy that advocates self-governed societies based on voluntary institutions.'),
9: WikiClirQuery('324', 'Academy Awards', 'the , now known officially as the oscars, is a set of twenty-four for artistic and technical merit in the american film industry, given annually by the of motion picture arts and sciences (ampas), to recognize excellence in cinematic achievements as assessed by the voting membership.'),
354311: WikiClirQuery('54960571', 'Dictyocaryum lamarckianum', 'is a species of flowering plant in the arecaceae family.'),
})
def test_qrels(self):
self._test_qrels('wikiclir/ar', count=519269, items={
0: TrecQrel('12', '23571', 2, 'Q0'),
9: TrecQrel('12', '804785', 1, 'Q0'),
519268: TrecQrel('54964051', '3769457', 2, 'Q0'),
})
self._test_qrels('wikiclir/ca', count=965233, items={
0: TrecQrel('12', '15902', 2, 'Q0'),
9: TrecQrel('12', '1010721', 1, 'Q0'),
965232: TrecQrel('54965687', '1423451', 2, 'Q0'),
})
self._test_qrels('wikiclir/zh', count=926130, items={
0: TrecQrel('12', '87200', 2, 'Q0'),
9: TrecQrel('12', '16304', 1, 'Q0'),
926129: TrecQrel('54967133', '5795012', 2, 'Q0'),
})
self._test_qrels('wikiclir/cs', count=954370, items={
0: TrecQrel('12', '12682', 2, 'Q0'),
9: TrecQrel('12', '430366', 1, 'Q0'),
954369: TrecQrel('54961893', '2646', 1, 'Q0'),
})
self._test_qrels('wikiclir/nl', count=2334644, items={
0: TrecQrel('12', '11036', 2, 'Q0'),
9: TrecQrel('12', '134021', 1, 'Q0'),
2334643: TrecQrel('54967572', '2716534', 2, 'Q0'),
})
self._test_qrels('wikiclir/fi', count=939613, items={
0: TrecQrel('12', '7556', 2, 'Q0'),
9: TrecQrel('12', '1101970', 1, 'Q0'),
939612: TrecQrel('54966570', '529972', 2, 'Q0'),
})
self._test_qrels('wikiclir/fr', count=5137366, items={
0: TrecQrel('12', '178', 2, 'Q0'),
9: TrecQrel('12', '1312543', 1, 'Q0'),
5137365: TrecQrel('54967313', '6378662', 1, 'Q0'),
})
self._test_qrels('wikiclir/de', count=5550454, items={
0: TrecQrel('12', '24409', 2, 'Q0'),
9: TrecQrel('12', '3103271', 1, 'Q0'),
5550453: TrecQrel('54967235', '7427899', 1, 'Q0'),
})
self._test_qrels('wikiclir/it', count=3443633, items={
0: TrecQrel('12', '22305', 2, 'Q0'),
9: TrecQrel('12', '14627', 1, 'Q0'),
3443632: TrecQrel('54967555', '3455512', 2, 'Q0'),
})
self._test_qrels('wikiclir/ja', count=3338667, items={
0: TrecQrel('12', '1430709', 2, 'Q0'),
9: TrecQrel('12', '2963727', 1, 'Q0'),
3338666: TrecQrel('54966134', '1664146', 1, 'Q0'),
})
self._test_qrels('wikiclir/ko', count=568205, items={
0: TrecQrel('12', '10071', 2, 'Q0'),
9: TrecQrel('12', '86969', 1, 'Q0'),
568204: TrecQrel('54965501', '1824430', 1, 'Q0'),
})
self._test_qrels('wikiclir/no', count=963514, items={
0: TrecQrel('12', '31', 2, 'Q0'),
9: TrecQrel('12', '285079', 1, 'Q0'),
963513: TrecQrel('54967547', '1387292', 2, 'Q0'),
})
self._test_qrels('wikiclir/nn', count=250141, items={
0: TrecQrel('12', '10770', 2, 'Q0'),
9: TrecQrel('12', '130318', 1, 'Q0'),
250140: TrecQrel('54952283', '2757', 1, 'Q0'),
})
self._test_qrels('wikiclir/pl', count=2471360, items={
0: TrecQrel('12', '25', 2, 'Q0'),
9: TrecQrel('12', '14226', 1, 'Q0'),
2471359: TrecQrel('54966439', '1937710', 1, 'Q0'),
})
self._test_qrels('wikiclir/pt', count=1741889, items={
0: TrecQrel('12', '230', 2, 'Q0'),
9: TrecQrel('12', '2121768', 1, 'Q0'),
1741888: TrecQrel('54964827', '1311522', 1, 'Q0'),
})
self._test_qrels('wikiclir/ro', count=451180, items={
0: TrecQrel('12', '23210', 2, 'Q0'),
9: TrecQrel('12', '226810', 1, 'Q0'),
451179: TrecQrel('54965687', '1736377', 2, 'Q0'),
})
self._test_qrels('wikiclir/ru', count=2321384, items={
0: TrecQrel('12', '3021', 2, 'Q0'),
9: TrecQrel('12', '2051069', 1, 'Q0'),
2321383: TrecQrel('54966570', '3117631', 1, 'Q0'),
})
self._test_qrels('wikiclir/en-simple', count=250380, items={
0: TrecQrel('12', '4807', 2, 'Q0'),
9: TrecQrel('25', '46790', 1, 'Q0'),
250379: TrecQrel('54964009', '594669', 2, 'Q0'),
})
self._test_qrels('wikiclir/es', count=2894807, items={
0: TrecQrel('12', '2190809', 2, 'Q0'),
9: TrecQrel('12', '221716', 1, 'Q0'),
2894806: TrecQrel('54966770', '8045048', 2, 'Q0'),
})
self._test_qrels('wikiclir/sw', count=57924, items={
0: TrecQrel('12', '16420', 2, 'Q0'),
9: TrecQrel('303', '6834', 1, 'Q0'),
57923: TrecQrel('54716724', '74685', 2, 'Q0'),
})
self._test_qrels('wikiclir/sv', count=2069453, items={
0: TrecQrel('12', '149', 2, 'Q0'),
9: TrecQrel('12', '79772', 1, 'Q0'),
2069452: TrecQrel('54963595', '263597', 1, 'Q0'),
})
self._test_qrels('wikiclir/tl', count=72359, items={
0: TrecQrel('12', '87382', 2, 'Q0'),
9: TrecQrel('305', '202908', 1, 'Q0'),
72358: TrecQrel('54959191', '155814', 2, 'Q0'),
})
self._test_qrels('wikiclir/tr', count=380651, items={
0: TrecQrel('12', '21889', 2, 'Q0'),
9: TrecQrel('12', '54359', 1, 'Q0'),
380650: TrecQrel('54965031', '2098262', 2, 'Q0'),
})
self._test_qrels('wikiclir/uk', count=913358, items={
0: TrecQrel('12', '12101', 2, 'Q0'),
9: TrecQrel('12', '1370301', 1, 'Q0'),
913357: TrecQrel('54966570', '2004654', 1, 'Q0'),
})
self._test_qrels('wikiclir/vi', count=611355, items={
0: TrecQrel('12', '307178', 2, 'Q0'),
9: TrecQrel('303', '33804', 2, 'Q0'),
611354: TrecQrel('54960571', '2174311', 2, 'Q0'),
})
if __name__ == '__main__':
unittest.main()
| 113.686076 | 342 | 0.655191 | 5,789 | 44,906 | 5.064778 | 0.414407 | 0.020464 | 0.010232 | 0.017053 | 0.308458 | 0.292667 | 0.254604 | 0.254604 | 0.254604 | 0.254604 | 0 | 0.094593 | 0.205941 | 44,906 | 394 | 343 | 113.974619 | 0.725644 | 0 | 0 | 0.313472 | 0 | 0.246114 | 0.642119 | 0.024963 | 0 | 0 | 0 | 0 | 0 | 1 | 0.007772 | false | 0.002591 | 0.012953 | 0 | 0.023316 | 0.002591 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
becd6a72d53984442dca6d578e97cfc2a8721647 | 152 | py | Python | wagtailpurge/testapp/urls.py | ababic/wagtail-purge | 9f48b1fa11f738fc11b6f3b708190daef3e80926 | [
"MIT"
] | null | null | null | wagtailpurge/testapp/urls.py | ababic/wagtail-purge | 9f48b1fa11f738fc11b6f3b708190daef3e80926 | [
"MIT"
] | 2 | 2021-08-24T18:38:43.000Z | 2021-08-24T18:43:25.000Z | wagtailpurge/testapp/urls.py | ababic/wagtailpurge | 9f48b1fa11f738fc11b6f3b708190daef3e80926 | [
"MIT"
] | null | null | null | from django.urls import include, path
urlpatterns = [
path("admin/", include("wagtail.admin.urls")),
path("", include("wagtail.core.urls")),
]
| 21.714286 | 50 | 0.657895 | 18 | 152 | 5.555556 | 0.555556 | 0.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.144737 | 152 | 6 | 51 | 25.333333 | 0.769231 | 0 | 0 | 0 | 0 | 0 | 0.269737 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
bef28dbbf9186487d2d137351d753f60f9b49cd8 | 256 | py | Python | abpytools/core/__init__.py | gf712/AbPyTools | 9ff0d4346ad80487d43875bc77d99fbe76170db4 | [
"MIT"
] | 13 | 2017-06-13T12:31:47.000Z | 2022-03-23T02:14:01.000Z | abpytools/core/__init__.py | gf712/AbPyTools | 9ff0d4346ad80487d43875bc77d99fbe76170db4 | [
"MIT"
] | 8 | 2018-02-21T22:15:35.000Z | 2022-02-01T12:27:58.000Z | abpytools/core/__init__.py | gf712/AbPyTools | 9ff0d4346ad80487d43875bc77d99fbe76170db4 | [
"MIT"
] | 3 | 2018-04-10T08:01:39.000Z | 2021-10-10T14:37:43.000Z | from .cache import Cache
from .base import CollectionBase
from .chain import Chain
from .chain_collection import ChainCollection
from .fab_collection import FabCollection
from .fab import Fab
__all__ = ["Chain", "ChainCollection", "FabCollection", "Fab"]
| 28.444444 | 62 | 0.800781 | 31 | 256 | 6.419355 | 0.354839 | 0.090452 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.121094 | 256 | 8 | 63 | 32 | 0.884444 | 0 | 0 | 0 | 0 | 0 | 0.140625 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.857143 | 0 | 0.857143 | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
bef2e498f04136c43b5154c82d0e901213789638 | 89 | py | Python | educore/apps.py | LawrenceDarko/School-management-system | 2ff4334c97b3103e7bc279b48b0109bbed61ac95 | [
"MIT"
] | null | null | null | educore/apps.py | LawrenceDarko/School-management-system | 2ff4334c97b3103e7bc279b48b0109bbed61ac95 | [
"MIT"
] | 1 | 2021-02-26T21:26:08.000Z | 2021-02-26T21:27:07.000Z | educore/apps.py | LawrenceDarko/School-management-system | 2ff4334c97b3103e7bc279b48b0109bbed61ac95 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class EducoreConfig(AppConfig):
name = 'educore'
| 14.833333 | 33 | 0.752809 | 10 | 89 | 6.7 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.168539 | 89 | 5 | 34 | 17.8 | 0.905405 | 0 | 0 | 0 | 0 | 0 | 0.078652 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
bef55aac98dfc679be00280b4eae9156ee20e888 | 5,379 | py | Python | app/machine_learning/hmm_smoother.py | ChristopherGS/sensor_readings | 1695349276292ba16206cbc9efb94c10b65d439e | [
"BSD-3-Clause"
] | 2 | 2015-10-01T09:03:31.000Z | 2019-07-23T19:42:00.000Z | app/machine_learning/hmm_smoother.py | ChristopherGS/sensor_readings | 1695349276292ba16206cbc9efb94c10b65d439e | [
"BSD-3-Clause"
] | null | null | null | app/machine_learning/hmm_smoother.py | ChristopherGS/sensor_readings | 1695349276292ba16206cbc9efb94c10b65d439e | [
"BSD-3-Clause"
] | 3 | 2016-01-13T13:07:26.000Z | 2019-04-12T05:43:21.000Z | import numpy as np
import pandas as pd
import os
from hmmlearn import hmm
from utilities import convert_to_words
n_components = 8 # ('ybc', 'ymount', 'ysc', 'ycg', 'ocg', 'osc_mount', 'obc', 'other')
startprob = np.array([0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.65,]) # users will probably turn on sensor standing
"""
probability of these positions given current state:
your_mount' if v == 0
else 'your_side_control' if v == 1
else 'your_closed_guard' if v == 2
else 'your_back_control' if v == 3
else 'opponent_mount_or_sc' if v == 4
else 'opponent_closed_guard' if v == 5
else 'opponent_back_control' if v == 6
else 'OTHER' if v == 7
transition_probability = {
'ymt' : {'ymount': 0.800, 'ysc': 0.050, 'ycg': 0.010, 'ybc': 0.050, 'osc_mount': 0.001, 'ocg': 0.050, 'obc': 0.001, 'other': 0.038},
'ysc' : {'ymount': 0.100, 'ysc': 0.800, 'ycg': 0.010, 'ybc': 0.010, 'osc_mount': 0.001, 'ocg': 0.050, 'obc': 0.001, 'other': 0.028},
'ycg' : {'ymount': 0.010, 'ysc': 0.050, 'ycg': 0.800, 'ybc': 0.010, 'osc_mount': 0.050, 'ocg': 0.001, 'obc': 0.001, 'other': 0.078},
'ybc' : {'ymount': 0.050, 'ysc': 0.010, 'ycg': 0.050, 'ybc': 0.800, 'osc_mount': 0.001, 'ocg': 0.010, 'obc': 0.001, 'other': 0.078},
'omt' : {'ymount': 0.001, 'ysc': 0.050, 'ycg': 0.010, 'ybc': 0.001, 'osc_mount': 0.800, 'ocg': 0.050, 'obc': 0.050, 'other': 0.038},
'ocg' : {'ymount': 0.100, 'ysc': 0.050, 'ycg': 0.010, 'ybc': 0.010, 'osc_mount': 0.001, 'ocg': 0.800, 'obc': 0.001, 'other': 0.028},
'obc' : {'ymount': 0.010, 'ysc': 0.050, 'ycg': 0.001, 'ybc': 0.010, 'osc_mount': 0.050, 'ocg': 0.001, 'obc': 0.800, 'other': 0.078},
'oth' : {'ymount': 0.050, 'ysc': 0.010, 'ycg': 0.050, 'ybc': 0.078, 'osc_mount': 0.001, 'ocg': 0.010, 'obc': 0.001, 'other': 0.800}
}
"""
transmat = np.array([
[0.800, 0.050, 0.010, 0.050, 0.001, 0.050, 0.001, 0.038],
[0.100, 0.800, 0.010, 0.010, 0.001, 0.050, 0.001, 0.028],
[0.010, 0.050, 0.800, 0.010, 0.050, 0.001, 0.001, 0.078],
[0.050, 0.010, 0.050, 0.800, 0.001, 0.010, 0.001, 0.078],
[0.001, 0.050, 0.010, 0.001, 0.800, 0.050, 0.050, 0.038],
[0.100, 0.050, 0.010, 0.010, 0.001, 0.800, 0.001, 0.028],
[0.010, 0.050, 0.001, 0.010, 0.050, 0.001, 0.800, 0.078],
[0.050, 0.010, 0.050, 0.078, 0.001, 0.010, 0.001, 0.800],
])
"""
probability of these positions given current state:
your_mount' if v == 0
else 'your_side_control' if v == 1
else 'your_closed_guard' if v == 2
else 'your_back_control' if v == 3
else 'opponent_mount_or_sc' if v == 4
else 'opponent_closed_guard' if v == 5
else 'opponent_back_control' if v == 6
else 'OTHER' if v == 7
emission_probability = {
'ymt' : {'ymount': 0.500, 'ysc': 0.050, 'ycg': 0.010, 'ybc': 0.050, 'osc_mount': 0.001, 'ocg': 0.350, 'obc': 0.001, 'other': 0.038},
'ysc' : {'ymount': 0.100, 'ysc': 0.800, 'ycg': 0.010, 'ybc': 0.010, 'osc_mount': 0.001, 'ocg': 0.050, 'obc': 0.001, 'other': 0.028},
'ycg' : {'ymount': 0.010, 'ysc': 0.050, 'ycg': 0.400, 'ybc': 0.010, 'osc_mount': 0.500, 'ocg': 0.001, 'obc': 0.001, 'other': 0.078},
'ybc' : {'ymount': 0.050, 'ysc': 0.010, 'ycg': 0.050, 'ybc': 0.600, 'osc_mount': 0.001, 'ocg': 0.010, 'obc': 0.201, 'other': 0.078},
'omt' : {'ymount': 0.001, 'ysc': 0.050, 'ycg': 0.210, 'ybc': 0.050, 'osc_mount': 0.600, 'ocg': 0.050, 'obc': 0.001, 'other': 0.038},
'ocg' : {'ymount': 0.400, 'ysc': 0.050, 'ycg': 0.010, 'ybc': 0.010, 'osc_mount': 0.001, 'ocg': 0.400, 'obc': 0.001, 'other': 0.028},
'obc' : {'ymount': 0.010, 'ysc': 0.050, 'ycg': 0.001, 'ybc': 0.110, 'osc_mount': 0.050, 'ocg': 0.001, 'obc': 0.700, 'other': 0.078},
'oth' : {'ymount': 0.050, 'ysc': 0.010, 'ycg': 0.050, 'ybc': 0.078, 'osc_mount': 0.001, 'ocg': 0.010, 'obc': 0.001, 'other': 0.800}
}
"""
emissionprob = np.array([
[0.500, 0.050, 0.010, 0.050, 0.001, 0.350, 0.001, 0.038],
[0.100, 0.800, 0.010, 0.010, 0.001, 0.050, 0.001, 0.028],
[0.010, 0.050, 0.350, 0.010, 0.500, 0.001, 0.001, 0.078],
[0.050, 0.010, 0.050, 0.700, 0.001, 0.010, 0.101, 0.078],
[0.001, 0.050, 0.210, 0.050, 0.600, 0.050, 0.001, 0.038],
[0.400, 0.050, 0.010, 0.010, 0.001, 0.400, 0.001, 0.028],
[0.010, 0.050, 0.001, 0.110, 0.050, 0.001, 0.700, 0.078],
[0.050, 0.010, 0.050, 0.078, 0.001, 0.010, 0.001, 0.800],
])
# Hidden Markov Model with multinomial (discrete) emissions
model = hmm.MultinomialHMM(n_components=n_components,
n_iter=10,
verbose=False)
model.startprob_ = startprob
model.transmat_ = transmat
model.emissionprob_ = emissionprob
def apply_hmm(data):
"""smooth the predictions from the Random Forest classifier
using HMM logic"""
data_ = np.array(data)
n_samples = len(data)
raw_data = data_.reshape((n_samples, -1))
result = model.decode(raw_data, algorithm='viterbi')
result_words = convert_to_words(result[1])
print 'result words: {}'.format(result_words)
print 'result accuracy: {}'.format(result[0])
return result[1]
| 51.721154 | 140 | 0.535044 | 947 | 5,379 | 2.968321 | 0.129884 | 0.088225 | 0.055141 | 0.051227 | 0.688367 | 0.670224 | 0.648524 | 0.614728 | 0.612238 | 0.563501 | 0 | 0.261029 | 0.237219 | 5,379 | 103 | 141 | 52.223301 | 0.42408 | 0.031418 | 0 | 0.142857 | 0 | 0 | 0.019535 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.119048 | null | null | 0.047619 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
831298201fc70935ecadc3a7cce9eaaec65f095c | 31,413 | py | Python | ooiui/core/routes/science.py | oceanobservatories/ooi-ui | 028fc317c240dca3a1d2c6c66e54135265f23ee9 | [
"MIT"
] | 6 | 2015-02-12T13:23:00.000Z | 2019-02-19T06:55:56.000Z | ooiui/core/routes/science.py | oceanobservatories/ooi-ui | 028fc317c240dca3a1d2c6c66e54135265f23ee9 | [
"MIT"
] | 442 | 2015-01-09T14:33:33.000Z | 2020-01-23T15:57:05.000Z | ooiui/core/routes/science.py | oceanobservatories/ooi-ui | 028fc317c240dca3a1d2c6c66e54135265f23ee9 | [
"MIT"
] | 13 | 2015-02-05T00:32:05.000Z | 2017-05-22T18:23:49.000Z | #!/usr/bin/env python
'''
ooiui.core.routes.science
Defines the application routes
'''
from ooiui.core.app import app
from flask import request, render_template, Response, jsonify
from flask import stream_with_context
from ooiui.core.routes.common import get_login, login_required
import requests
from ooiui.core.routes.decorators import login_required, scope_required
import json
@app.route('/cilogonhome')
def new_index():
return render_template('common/home.html', tracking=app.config['GOOGLE_ANALYTICS'])
@app.route('/landing/pioneer')
@login_required()
def landing_pioneer():
return render_template('landing/pioneer.html', tracking=app.config['GOOGLE_ANALYTICS'])
# @app.route('/assets/list')
# @app.route('/assets/list/')
# @login_required()
# def instr_index():
# return render_template('asset_management/assetslist.html', tracking=app.config['GOOGLE_ANALYTICS'])
@app.route('/assets/management')
@app.route('/assets/management/')
def assets_management():
return render_template('asset_management/asset_management.html', tracking=app.config['GOOGLE_ANALYTICS'])
@app.route('/assets/cruises')
@app.route('/assets/cruises/')
def asset_management_cruises():
return render_template('asset_management/cruises.html', tracking=app.config['GOOGLE_ANALYTICS'])
@app.route('/assets/deployments')
@app.route('/assets/deployments/')
def asset_management_deployments():
return render_template('asset_management/deployments.html', tracking=app.config['GOOGLE_ANALYTICS'])
@app.route('/events/list/')
@login_required()
def event_list():
return render_template('asset_management/eventslist.html', tracking=app.config['GOOGLE_ANALYTICS'])
@app.route('/event/<int:id>', methods=['GET'])
@login_required()
def event_index(id):
return render_template('asset_management/event.html', id=id, tracking=app.config['GOOGLE_ANALYTICS'])
@app.route('/event/<string:new>/<int:aid>/<string:aclass>', methods=['GET'])
@login_required()
def event_new(new, aid, aclass):
return render_template('asset_management/event.html', id=str(new), assetid=aid, aclass=str(aclass), tracking=app.config['GOOGLE_ANALYTICS'])
@app.route('/streams/')
def streams_page():
return render_template('science/streams.html', tracking=app.config['GOOGLE_ANALYTICS'])
@app.route('/streamingdata/')
@app.route('/streamingdata')
def streaming_data_page():
return render_template('science/streaming_data.html', tracking=app.config['GOOGLE_ANALYTICS'])
@app.route('/antelope_acoustic/')
def acoustics_page():
return render_template('science/antelope_acoustic.html', tracking=app.config['GOOGLE_ANALYTICS'])
# @app.route('/plot', methods=['GET'])
# @app.route('/plot/', methods=['GET'])
# def show_plot_no_path():
# return plot_page(None)
#
#
# @app.route('/plot/<path:path>', methods=['GET'])
# def plot_page(path):
# return render_template('science/plot.html', tracking=app.config['GOOGLE_ANALYTICS'])
@app.route('/datacatalog/')
@app.route('/plot', methods=['GET'])
@app.route('/plot/', methods=['GET'])
@app.route('/data_access', methods=['GET'])
@app.route('/data_access/', methods=['GET'])
def show_data_access_no_path():
return render_template('science/data_access.html', tracking=app.config['GOOGLE_ANALYTICS'])
# @app.route('/data_access/<path:path>', methods=['GET'])
# def data_access(path):
# return render_template('science/data_access.html', tracking=app.config['GOOGLE_ANALYTICS'])
@app.route('/getdata/')
def getData():
'''
gets data in the google chart format
'''
instr = request.args['instrument']
stream = request.args['stream']
#std = request.args['startdate']
#edd = request.args['enddate']
#param = request.args['variables']
#ann = request.args['annotaton']
ann = "?annotation=true"
response = requests.get(app.config['SERVICES_URL'] + '/uframe/get_data'+"/"+instr+"/"+stream+ann, params=request.args)
return response.text, response.status_code
@app.route('/api/get_data', methods=['GET'])
def getUframeDataProxy():
'''
gets data in the google chart format
'''
try:
instr = request.args['instrument']
stream = request.args['stream']
# comma list
xvars = request.args['xvars']
yvars = request.args['yvars']
# there should be a start and end date in the params
# ?startdate=2015-01-21T22:01:48.103Z&enddate=2015-04-29T10:10:51.563Z
data_url = "/".join([app.config['SERVICES_URL'], 'uframe/get_data', instr, stream, xvars, yvars])
response = requests.get(data_url, params=request.args)
data_text = response.text
data_text = data_text.replace("NaN", "null")
return data_text, response.status_code, dict(response.headers)
except Exception, e:
return jsonify(error=str(e))
@app.route('/api/get_multistream', methods=['GET'])
def getUframeMultiStreamInterp():
'''
Makes a request to the backend services to get the multi stream interpolated data
Example request:
/uframe/get_multistream/CP05MOAS-GL340-03-CTDGVM000/CP05MOAS-GL340-02-FLORTM000/telemetered_ctdgv_m_glider_instrument/
telemetered_flort_m_glider_instrument/sci_water_pressure/sci_flbbcd_chlor_units?startdate=2015-05-07T02:49:22.745Z&enddate=2015-06-28T04:00:41.282Z
'''
try:
# Parse the parameters
ref_des1 = request.args['ref_des1']
ref_des2 = request.args['ref_des2']
instr1 = request.args['instr1']
instr2 = request.args['instr2']
var1 = request.args['var1']
var2 = request.args['var2']
startdate = request.args['startdate']
enddate = request.args['enddate']
# Build the URL
params = '?startdate=%s&enddate=%s' % (startdate, enddate)
# http://localhost:4000/uframe/get_multistream/CP05MOAS-GL340-03-CTDGVM000/CP05MOAS-GL340-02-FLORTM000/telemetered_ctdgv_m_glider_instrument/
# telemetered_flort_m_glider_instrument/sci_water_pressure/sci_flbbcd_chlor_units?startdate=2015-05-07T02:49:22.745Z&enddate=2015-06-28T04:00:41.282Z
data_url = "/".join([app.config['SERVICES_URL'], 'uframe/get_multistream', ref_des1, ref_des2, instr1, instr2, var1, var2 + params])
print data_url
# Get the response
response = requests.get(data_url, params=request.args)
data_text = response.text
data_text = data_text.replace("NaN", "null")
return data_text, response.status_code, dict(response.headers)
except Exception, e:
return jsonify(error=str(e))
# TODO
@app.route('/api/get_large_format_data', methods=['GET'])
def get_uframe_large_format_data():
'''
Make a request to the services to get the listing of large format data
Example request:
/uframe/get_large_format_files_by_ref/RS03ASHS-MJ03B-05-OBSSPA302/2015-11-30
'''
try:
# Parse the parameters
ref_des = request.args['ref_des']
date = request.args['date'] # Expecting ISO format <yyyy-mm-dd>
# Build the URL
data_url = "/".join([app.config['SERVICES_URL'], 'uframe/get_large_format_files_by_rd', ref_des, date])
# Get the response
response = requests.get(data_url, params=request.args)
return response.text, response.status_code, dict(response.headers)
except Exception, e:
return jsonify(error=str(e))
@app.route('/api/annotation', methods=['GET'])
def get_annotations():
try:
response = requests.get(app.config['SERVICES_URL'] + '/annotation', params=request.args)
return response.text, response.status_code, dict(response.headers)
except Exception, e:
return jsonify(error=str(e))
@scope_required('annotate')
@login_required()
@app.route('/api/annotation', methods=['POST'])
def post_annotation():
token = get_login()
headers = {'Content-Type': 'application/json'}
url = app.config['SERVICES_URL'] + '/annotation'
print request.data
response = requests.post(url, auth=(token, ''), data=request.data, headers=headers)
return response.text, response.status_code, dict(response.headers)
@scope_required('annotate')
@login_required()
@app.route('/api/annotation/<string:id>', methods=['PUT'])
def put_annotation(id):
token = get_login()
headers = {'Content-Type': 'application/json'}
url = app.config['SERVICES_URL'] + '/annotation/%s' % id
response = requests.put(url, auth=(token, ''), data=request.data, headers=headers)
return response.text, response.status_code
@scope_required('annotate')
@login_required()
@app.route('/api/annotation/<string:id>', methods=['DELETE'])
def delete_annotation(id):
token = get_login()
headers = {'Content-Type': 'application/json'}
url = app.config['SERVICES_URL'] + '/annotation/delete/%s' % id
response = requests.get(url, auth=(token, ''), data=request.data, headers=headers)
return response.text, response.status_code
@app.route('/api/annotation/qcflags', methods=['GET'])
def get_qcflags():
try:
response = requests.get(app.config['SERVICES_URL'] + '/annotation/qcflags', params=request.args)
return response.text, response.status_code, dict(response.headers)
except Exception, e:
return jsonify(error=str(e))
# old
@app.route('/api/array')
def array_proxy():
response = requests.get(app.config['SERVICES_URL'] + '/arrays', params=request.args)
# response = requests.get(app.config['SERVICES_URL'] + '/uframe/status/arrays', params=request.args)
return response.text, response.status_code
@app.route('/api/uframe/status/arrays')
def status_arrays():
try:
response = requests.get(app.config['SERVICES_URL'] + '/uframe/status/arrays', params=request.args)
return response.text, response.status_code
except Exception, e:
print "error" + e.message
return "Error getting array status from services", 400
@app.route('/api/uframe/status/sites/<string:array_code>')
def status_sites(array_code):
if request.args:
array_code = request.args['node']
response = requests.get(app.config['SERVICES_URL'] + '/uframe/status/sites/%s' % array_code, params=request.args)
return response.text, response.status_code
@app.route('/api/uframe/status/sites')
def status_sites_tree():
if request.args:
array_code = request.args['node']
else:
return "Bad node parameter", 400
response = requests.get(app.config['SERVICES_URL'] + '/uframe/status/sites/%s' % array_code, params=request.args)
return response.text, response.status_code
@app.route('/api/uframe/status/platforms/<string:array_code>')
def status_platforms(array_code):
if array_code:
response = requests.get(app.config['SERVICES_URL'] + '/uframe/status/platforms/%s' % array_code, params=request.args)
return response.text, response.status_code
else:
return "No platform status response.", 500
@app.route('/api/uframe/status/instrument/<string:ref_des>')
def status_instrument(ref_des):
response = requests.get(app.config['SERVICES_URL'] + '/uframe/status/instrument/%s' % ref_des, params=request.args)
return response.text, response.status_code
@app.route('/api/uframe/get_structured_toc')
def structured_toc_proxy():
response = requests.get(app.config['SERVICES_URL'] + '/uframe/get_structured_toc', params=request.args)
return response.text, response.status_code
# old
@app.route('/api/platform_deployment')
def platform_deployment_proxy():
response = requests.get(app.config['SERVICES_URL'] + '/platform_deployments', params=request.args)
return response.text, response.status_code
# @app.route('/api/display_name')
# def display_name():
# ref = request.args['reference_designator']
# response = requests.get(app.config['SERVICES_URL'] + '/display_name'+"?reference_designator="+ref, params=request.args)
# return response.text, response.status_code
# Assets
@app.route('/api/asset_deployment', methods=['GET'])
def instrument_deployment_proxy():
response = requests.get(app.config['SERVICES_URL'] + '/uframe/assets', params=request.args)
if 'export' in request.args:
return Response(response.text,
mimetype='application/json',
headers={'Content-Disposition':'attachment;filename=filtered_assets.json'})
else:
return response.text, response.status_code
@app.route('/api/asset_deployment/<int:id>', methods=['GET'])
def instrument_deployment_get(id):
response = requests.get(app.config['SERVICES_URL'] + '/uframe/assets/%s' % id, data=request.data)
return response.text, response.status_code
@app.route('/api/asset_deployment/<int:id>', methods=['PUT'])
@scope_required('asset_manager')
@login_required()
def instrument_deployment_put(id):
# print request.data
response = requests.put(app.config['SERVICES_URL'] + '/uframe/assets/%s' % id, data=request.data)
return response.text, response.status_code
@app.route('/api/asset_deployment/edit_phase_values', methods=['GET'])
@scope_required('asset_manager')
@login_required()
def asset_edit_phase_values():
response = requests.get(app.config['SERVICES_URL'] + '/uframe/assets/edit_phase_values', data=request.data)
select = create_html_select_from_list(json.loads(response.text)['values'])
return select, response.status_code
@app.route('/api/asset_deployment/asset_type_values', methods=['GET'])
@scope_required('asset_manager')
@login_required()
def asset_types_values():
response = requests.get(app.config['SERVICES_URL'] + '/uframe/assets/types/supported', data=request.data)
select = create_html_select_from_list(json.loads(response.text)['asset_types'])
# print select
return select, response.status_code
@app.route('/api/asset_deployment/ajax', methods=['POST'])
@scope_required('asset_manager')
@login_required()
def instrument_deployment_put_ajax():
token = get_login()
# print request.form
# print request.data
json_data = ''
if (len(request.data) > 0):
json_data = dot_to_json(json.loads(request.data))
if (len(request.form) > 0):
json_data = dot_to_json(json.loads(json.dumps(request.form.to_dict())))
if len(json_data) > 0:
clean_data = {k:v for k,v in json_data.iteritems() if (k != 'oper')}
# print json_data
# print clean_data
else:
return 'No operation type found in data!', 500
# print 'eventId'
# print clean_data['eventId']
if 'oper' in json_data:
operation_type = json_data['oper']
# print operation_type
else:
return 'No operation type found in data!', 500
if operation_type == 'edit':
# print 'edit record'
# print clean_data['eventId']
# print app.config['SERVICES_URL'] + '/uframe/events/%s' % clean_data['eventId']
# json.dumps(clean_data)
response = requests.put(app.config['SERVICES_URL'] + '/uframe/assets/%s' % clean_data['id'], auth=(token, ''), data=json.dumps(clean_data))
return response.text, response.status_code
# return 'Edit record operation', 200
if operation_type == 'add':
# print 'add record'
clean_data = {k:v for k,v in clean_data.iteritems() if (k != 'id' and k != 'lastModifiedTimestamp')}
# print clean_data
response = requests.post(app.config['SERVICES_URL'] + '/uframe/assets', auth=(token, ''), data=json.dumps(clean_data))
return response.text, response.status_code
# return 'Add record operation!', 200
return 'No operation performed!', 200
def dot_to_json(a):
output = {}
for key, value in a.iteritems():
path = key.split('.')
if path[0] == 'json':
path = path[1:]
target = reduce(lambda d, k: d.setdefault(k, {}), path[:-1], output)
target[path[-1]] = value
return output
def create_html_select_from_list(the_values):
output = "<select>"
for value in the_values:
output += '<option value="%s">%s</option>' % (value, value)
output += "</select>"
return output
@app.route('/api/asset_deployment', methods=['POST'])
@scope_required('asset_manager')
@login_required()
def instrument_deployment_post():
# print request.data
response = requests.post(app.config['SERVICES_URL'] + '/uframe/assets', data=request.data)
return response.text, response.status_code
# not working/using now
@app.route('/api/asset_deployment/<int:id>', methods=['DELETE'])
@scope_required('asset_manager')
@login_required()
def instrument_deployment_delete(id):
response = requests.delete(app.config['SERVICES_URL'] + '/uframe/assets/%s' % id, data=request.data)
return response.text, response.status_code
# Events
@app.route('/api/asset_events', methods=['GET'])
def event_deployments_proxy():
response = requests.get(app.config['SERVICES_URL'] + '/uframe/events', params=request.args)
return response.text, response.status_code
@app.route('/api/asset_events/<int:id>', methods=['GET'])
def event_deployment_get(id):
response = requests.get(app.config['SERVICES_URL'] + '/uframe/assets/%s/events' % id, params=request.args)
# print response.text
return response.text, response.status_code
@app.route('/api/asset_events/<int:id>', methods=['PUT'])
@scope_required('asset_manager')
@login_required()
def asset_event_put(id):
token = get_login()
response = requests.put(app.config['SERVICES_URL'] + '/uframe/events/%s' % id, auth=(token, ''), data=request.data)
return response.text, response.status_code
@app.route('/api/uframe/events/operational_status_values', methods=['GET'])
def get_operational_status_values():
response = requests.get(app.config['SERVICES_URL'] + '/uframe/events/operational_status_values', params=request.args)
select = create_html_select_from_list(json.loads(response.text)['operational_status_values'])
return select, response.status_code
@app.route('/api/asset_events', methods=['POST'])
@scope_required('asset_manager')
@login_required()
def asset_event_post():
token = get_login()
# print request.form
# print request.data
json_data = ''
if (len(request.data) > 0):
json_data = dot_to_json(json.loads(request.data))
if (len(request.form) > 0):
json_data = dot_to_json(json.loads(json.dumps(request.form.to_dict())))
if len(json_data) > 0:
clean_data = {k:v for k,v in json_data.iteritems() if (k != 'oper' and k != 'id')}
# print json_data
# print clean_data
else:
return 'No operation type found in data!', 500
# print 'eventId'
# print clean_data['eventId']
if 'oper' in json_data:
operation_type = json_data['oper']
# print operation_type
else:
return 'No operation type found in data!', 500
if operation_type == 'edit':
# print 'edit record'
# print clean_data['eventId']
# print app.config['SERVICES_URL'] + '/uframe/events/%s' % clean_data['eventId']
# print json.dumps(clean_data)
response = requests.put(app.config['SERVICES_URL'] + '/uframe/events/%s' % clean_data['eventId'], auth=(token, ''), data=json.dumps(clean_data))
return response.text, response.status_code
# return 'Edit record operation', 200
if operation_type == 'add':
# print 'add record'
clean_data = {k:v for k,v in clean_data.iteritems() if (k != 'eventId' and k != 'lastModifiedTimestamp')}
# print clean_data
response = requests.post(app.config['SERVICES_URL'] + '/uframe/events', auth=(token, ''), data=json.dumps(clean_data))
return response.text, response.status_code
# return 'Add record operation!', 200
return 'No operation performed!', 200
@app.route('/api/events', methods=['GET'])
def get_event_by_ref_des():
response = requests.get(app.config['SERVICES_URL'] + '/uframe/events?ref_des=%s' % request.args.get('ref_des'), data=request.args)
return response.text, response.status_code
@app.route('/opLog.html')
def op_log():
return render_template('common/opLog.html', tracking=app.config['GOOGLE_ANALYTICS'])
@app.route('/api/uframe/streams_for/<string:reference_designator>', methods=['GET'])
def streams_for(reference_designator):
token = get_login()
response = requests.get(app.config['SERVICES_URL'] + '/uframe/streams_for/%s' % reference_designator,
auth=(token, ''), params=request.args)
return response.text, response.status_code
@app.route('/api/uframe/instrument_list', methods=['GET'])
def instrument_list():
token = get_login()
response = requests.get(app.config['SERVICES_URL'] + '/uframe/instrument_list',
auth=(token, ''), params=request.args)
return response.text, response.status_code
@app.route('/api/uframe/stream', methods=['GET'])
def stream_proxy():
token = get_login()
search_request_arg = request.args.get('search','')
if len(search_request_arg) > 0 or len(request.args) == 0:
response = requests.get(app.config['SERVICES_URL'] + '/uframe/stream', auth=(token, ''), params=request.args)
return response.text, response.status_code
else:
return {}, 400
@app.route('/api/uframe/get_stream_for_model', methods=['GET'])
def stream_for_model():
token = get_login()
if len(request.args) > 0:
response = requests.get(app.config['SERVICES_URL'] + '/uframe/get_stream_for_model/%s/%s/%s' % (request.args.get('ref_des',''), request.args.get('stream_method',''), request.args.get('stream','')), auth=(token, ''), params=request.args)
return response.text, response.status_code
else:
return {}, 400
@app.route('/api/antelope_acoustic/list', methods=['GET'])
def get_acoustic_datalist():
token = get_login()
response = requests.get(app.config['SERVICES_URL'] + '/uframe/antelope_acoustic/list', auth=(token, ''), params=request.args)
return response.text, response.status_code
@app.route('/api/uframe/get_metadata/<string:stream_name>/<string:reference_designator>', methods=['GET'])
def metadata_proxy(stream_name, reference_designator):
'''
get metadata for a given ref and stream
'''
token = get_login()
response = requests.get(app.config['SERVICES_URL'] + '/uframe/get_metadata/%s/%s' % (stream_name, reference_designator), auth=(token, ''), params=request.args)
return response.text, response.status_code
@app.route('/api/uframe/get_metadata_times/<string:stream_name>/<string:reference_designator>', methods=['GET'])
def metadata_times_proxy(stream_name, reference_designator):
'''
get metadata times for a given ref and stream
'''
token = get_login()
response = requests.get(app.config['SERVICES_URL'] + '/uframe/get_metadata_times/%s/%s' % (stream_name, reference_designator), auth=(token, ''), params=request.args)
return response.text, response.status_code
@app.route('/api/uframe/stream/parameters/<string:reference_des>/<string:stream_method>/<string:stream>', methods=['GET'])
def get_stream_parameters(reference_des, stream_method, stream):
'''
get metadata times for a given ref and stream
'''
token = get_login()
response = requests.get(app.config['SERVICES_URL'] + '/uframe/stream/parameters/%s/%s/%s' % (reference_des, stream_method, stream), auth=(token, ''), params=request.args)
return response.text, response.status_code
@app.route('/api/uframe/get_csv/<string:stream_name>/<string:reference_designator>/<string:start>/<string:end>')
def get_csv(stream_name, reference_designator, start, end):
token = get_login()
dpa = "1"
user = request.args.get('user', '')
email = request.args.get('email', '')
parameters = request.args.get('parameters', '')
estimate_only = request.args.get('estimate', 'false')
url = app.config['SERVICES_URL'] + '/uframe/get_csv/%s/%s/%s/%s/%s?user=%s&email=%s¶meters=%s&estimate_only=%s' \
% (stream_name, reference_designator, start, end, dpa, user, email, parameters, estimate_only)
req = requests.get(url, auth=(token, ''), stream=True)
return Response(stream_with_context(req.iter_content(chunk_size=1024*1024*4)), headers=dict(req.headers))
@app.route('/api/uframe/get_json/<string:stream_name>/<string:reference_designator>/<string:start>/<string:end>/<string:provenance>/<string:annotations>')
def get_json(stream_name, reference_designator, start, end, provenance, annotations):
token = get_login()
dpa = "0"
user = request.args.get('user', '')
email = request.args.get('email', '')
parameters = request.args.get('parameters', '')
estimate_only = request.args.get('estimate', 'false')
url = app.config['SERVICES_URL'] + '/uframe/get_json/%s/%s/%s/%s/%s/%s/%s?user=%s&email=%s¶meters=%s&estimate_only=%s' \
% (stream_name, reference_designator, start, end, dpa, provenance, annotations, user, email, parameters, estimate_only)
req = requests.get(url, auth=(token, ''), stream=True, params=request.args)
return Response(stream_with_context(req.iter_content(chunk_size=1024*1024*4)), headers=dict(req.headers))
@app.route('/api/uframe/get_netcdf/<string:stream_name>/<string:reference_designator>/<string:start>/<string:end>/<string:provenance>/<string:annotations>')
def get_netcdf(stream_name, reference_designator, start, end, provenance, annotations):
token = get_login()
dpa = "0"
user = request.args.get('user', '')
email = request.args.get('email', '')
parameters = request.args.get('parameters', '')
estimate_only = request.args.get('estimate', 'false')
req = requests.get(app.config['SERVICES_URL'] + '/uframe/get_netcdf/%s/%s/%s/%s/%s/%s/%s?user=%s&email=%s¶meters=%s&estimate_only=%s'
% (stream_name, reference_designator, start, end, dpa, provenance, annotations, user, email, parameters, estimate_only), auth=(token, ''), stream=True)
return Response(stream_with_context(req.iter_content(chunk_size=1024*1024*4)), headers=dict(req.headers))
@app.route('/api/uframe/get_profiles/<string:stream_name>/<string:reference_designator>')
def get_profiles(stream_name, reference_designator):
token = get_login()
req = requests.get(app.config['SERVICES_URL'] + '/uframe/get_profiles/%s/%s/%s/%s' % (stream_name, reference_designator), auth=(token, ''), stream=True)
return Response(stream_with_context(req.iter_content(chunk_size=1024*1024*4)), headers=dict(req.headers))
@app.route('/svg/plot/<string:instrument>/<string:stream>', methods=['GET'])
def get_plotdemo(instrument, stream):
token = get_login()
import time
t0 = time.time()
req = requests.get(app.config['SERVICES_URL'] + '/uframe/plot/%s/%s' % (instrument, stream), auth=(token, ''), params=request.args)
t1 = time.time()
# they fake the response to 200
return req.content, req.status_code, dict(req.headers)
# C2 Routes
@app.route('/api/c2/array_display/<string:array_code>', methods=['GET'])
def get_c2_array_display(array_code):
response = requests.get(app.config['SERVICES_URL'] + '/c2/array_display/%s' % (array_code))
return response.text, response.status_code
@app.route('/api/c2/platform_display/<string:reference_designator>', methods=['GET'])
def get_c2_platform_display(reference_designator):
response = requests.get(app.config['SERVICES_URL'] + '/c2/platform_display/%s' % (reference_designator))
return response.text, response.status_code
@app.route('/api/c2/instrument_display/<string:reference_designator>', methods=['GET'])
def get_c2_instrument_display(reference_designator):
response = requests.get(app.config['SERVICES_URL'] + '/c2/instrument_display/%s' % (reference_designator))
return response.text, response.status_code
@app.route('/api/c2/instrument/<string:reference_designator>/<string:stream_name>', methods=['GET'])
def get_c2_instrument_fields(reference_designator, stream_name):
response = requests.get(app.config['SERVICES_URL'] + '/c2/instrument/%s/%s/fields' % (reference_designator, stream_name))
return response.text, response.status_code
@app.route('/api/cruises', methods=['GET'])
def get_cruises():
response = requests.get(app.config['SERVICES_URL'] + '/uframe/cruises')
return response.text, response.status_code
@app.route('/api/cruises/<string:eventId>/deployments', methods=['GET'])
def get_cruise_deployments(eventId):
response = requests.get(app.config['SERVICES_URL'] + '/uframe/cruises/%s/deployments' % (eventId))
return response.text, response.status_code
@app.route('/api/deployments/subsites', methods=['GET'])
def get_deployments_inv():
response = requests.get(app.config['SERVICES_URL'] + '/uframe/deployments/inv')
return response.text, response.status_code
@app.route('/api/deployments/<string:subsiteRd>/nodes', methods=['GET'])
def get_deployments_nodes(subsiteRd):
response = requests.get(app.config['SERVICES_URL'] + '/uframe/deployments/inv/' + subsiteRd)
return response.text, response.status_code
@app.route('/api/deployments/<string:subsiteRd>/<string:nodeRd>/sensors', methods=['GET'])
def get_deployments_sensors(subsiteRd, nodeRd):
response = requests.get(app.config['SERVICES_URL'] + '/uframe/deployments/inv/' + subsiteRd + '/' + nodeRd)
return response.text, response.status_code
@app.route('/api/deployments/<string:rd>', methods=['GET'])
def get_deployments_by_rd(rd):
response = requests.get(app.config['SERVICES_URL'] + '/uframe/deployments/' + rd)
return response.text, response.status_code
@app.route('/api/deployments/ajax', methods=['POST'])
@scope_required('asset_manager')
@login_required()
def deployment_post_ajax():
token = get_login()
# print request.form
# print request.data
json_data = ''
if (len(request.data) > 0):
json_data = dot_to_json(json.loads(request.data))
if (len(request.form) > 0):
json_data = dot_to_json(json.loads(json.dumps(request.form.to_dict())))
if len(json_data) > 0:
clean_data = {k:v for k,v in json_data.iteritems() if (k != 'oper')}
# print json_data
# print clean_data
else:
return 'No operation type found in data!', 500
# print 'eventId'
# print clean_data['eventId']
if 'oper' in json_data:
operation_type = json_data['oper']
# print operation_type
else:
return 'No operation type found in data!', 500
if operation_type == 'edit':
# print 'edit record'
# print clean_data['eventId']
# print app.config['SERVICES_URL'] + '/uframe/events/%s' % clean_data['eventId']
print json.dumps(clean_data)
response = requests.put(app.config['SERVICES_URL'] + '/uframe/deployments/%s' % clean_data['eventId'], auth=(token, ''), data=json.dumps(clean_data))
return response.text, response.status_code
# return 'Edit record operation', 200
if operation_type == 'add':
# print 'add record'
clean_data = {k:v for k,v in clean_data.iteritems() if (k != 'id' and k != 'lastModifiedTimestamp')}
# print clean_data
response = requests.post(app.config['SERVICES_URL'] + '/uframe/deployments', auth=(token, ''), data=json.dumps(clean_data))
return response.text, response.status_code
# return 'Add record operation!', 200
return 'No operation performed!', 200
| 39.713021 | 244 | 0.694139 | 4,079 | 31,413 | 5.172836 | 0.082128 | 0.031469 | 0.050758 | 0.059716 | 0.780711 | 0.731564 | 0.703697 | 0.695213 | 0.653602 | 0.570332 | 0 | 0.011738 | 0.148442 | 31,413 | 790 | 245 | 39.763291 | 0.777047 | 0.097189 | 0 | 0.435484 | 0 | 0.014113 | 0.239451 | 0.130467 | 0 | 0 | 0 | 0.001266 | 0 | 0 | null | null | 0 | 0.016129 | null | null | 0.008065 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
833a72069a3b407d6e65677670ecedfdfd6040e6 | 336 | py | Python | tests/run_tests.py | zdu863/3dcorrelation | 1683ee0af665e68924e67a11bffda26ab3269fe5 | [
"BSD-3-Clause"
] | null | null | null | tests/run_tests.py | zdu863/3dcorrelation | 1683ee0af665e68924e67a11bffda26ab3269fe5 | [
"BSD-3-Clause"
] | null | null | null | tests/run_tests.py | zdu863/3dcorrelation | 1683ee0af665e68924e67a11bffda26ab3269fe5 | [
"BSD-3-Clause"
] | null | null | null | from numpy.testing import run_module_suite
# Per-module accuracy and input correctness tests
from ccl_test_distances import *
from ccl_test_growth import *
from ccl_test_core import *
# Overall interface functionality tests
from ccl_test_pyccl_interface import *
if __name__ == "__main__":
# Run all tests
run_module_suite()
| 24 | 49 | 0.797619 | 48 | 336 | 5.145833 | 0.541667 | 0.11336 | 0.178138 | 0.129555 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.154762 | 336 | 13 | 50 | 25.846154 | 0.869718 | 0.294643 | 0 | 0 | 0 | 0 | 0.034335 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.714286 | 0 | 0.714286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
835321ec0544eecbe2598eb29a8145edb42be3e7 | 54 | py | Python | {{cookiecutter.publication_slug}}/process/preprocess/example.py | mberz/cookiecutter-publication | 94b2ac661df4ae4678037b234e8d39d8b35fd5c4 | [
"MIT"
] | null | null | null | {{cookiecutter.publication_slug}}/process/preprocess/example.py | mberz/cookiecutter-publication | 94b2ac661df4ae4678037b234e8d39d8b35fd5c4 | [
"MIT"
] | null | null | null | {{cookiecutter.publication_slug}}/process/preprocess/example.py | mberz/cookiecutter-publication | 94b2ac661df4ae4678037b234e8d39d8b35fd5c4 | [
"MIT"
] | null | null | null | # %%
__depends__ = []
__dest__ = ['../../data/']
# %% | 10.8 | 26 | 0.425926 | 3 | 54 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.185185 | 54 | 5 | 27 | 10.8 | 0.340909 | 0.092593 | 0 | 0 | 0 | 0 | 0.234043 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
55d7870fa4a418f045eefc0ad2933a1681f87050 | 21 | py | Python | scale_client/sensors/__init__.py | prav33nv/scale_client | dcbd6ed4c8f4a27606ebef5b5f9dabb2e4f3b806 | [
"BSD-2-Clause-FreeBSD"
] | 3 | 2018-05-24T00:59:05.000Z | 2020-01-03T08:03:33.000Z | scale_client/sensors/__init__.py | prav33nv/scale_client | dcbd6ed4c8f4a27606ebef5b5f9dabb2e4f3b806 | [
"BSD-2-Clause-FreeBSD"
] | 26 | 2015-01-19T22:47:07.000Z | 2017-05-03T01:43:10.000Z | scale_client/sensors/__init__.py | prav33nv/scale_client | dcbd6ed4c8f4a27606ebef5b5f9dabb2e4f3b806 | [
"BSD-2-Clause-FreeBSD"
] | 6 | 2015-01-20T20:05:09.000Z | 2017-06-01T02:19:01.000Z | __author__ = 'kyle'
| 7 | 19 | 0.666667 | 2 | 21 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.190476 | 21 | 2 | 20 | 10.5 | 0.588235 | 0 | 0 | 0 | 0 | 0 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
55de47e8ec0b9759b4584edf9723ccc898f5dee9 | 405 | py | Python | clean_architecture_helper/serializers.py | HerlanAssis/django-clean-architecture-helper | 194c5bd524eb4a66c71904fc57cfef6f25916c0e | [
"Apache-2.0"
] | 7 | 2019-11-08T20:08:24.000Z | 2022-03-27T17:43:04.000Z | clean_architecture_helper/serializers.py | HerlanAssis/django-clean-architecture-helper | 194c5bd524eb4a66c71904fc57cfef6f25916c0e | [
"Apache-2.0"
] | null | null | null | clean_architecture_helper/serializers.py | HerlanAssis/django-clean-architecture-helper | 194c5bd524eb4a66c71904fc57cfef6f25916c0e | [
"Apache-2.0"
] | 1 | 2019-10-31T20:45:32.000Z | 2019-10-31T20:45:32.000Z | from rest_framework import serializers
class BaseSerializer(serializers.Serializer):
'''
Base serializer
'''
id = serializers.CharField(read_only=True)
created_at = serializers.DateTimeField(read_only=True)
updated_at = serializers.DateTimeField(read_only=True)
deleted_at = serializers.DateTimeField(read_only=True)
is_deleted = serializers.BooleanField(read_only=True)
| 31.153846 | 58 | 0.767901 | 45 | 405 | 6.688889 | 0.466667 | 0.13289 | 0.199336 | 0.299003 | 0.378738 | 0.378738 | 0 | 0 | 0 | 0 | 0 | 0 | 0.145679 | 405 | 12 | 59 | 33.75 | 0.869942 | 0.037037 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 1 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
55ea1ea8e3cc7600d46244e81fbf44f82f1dd700 | 309 | py | Python | codeforces.com/50A/solution.py | zubtsov/competitive-programming | 919d63130144347d7f6eddcf8f5bc2afb85fddf3 | [
"MIT"
] | null | null | null | codeforces.com/50A/solution.py | zubtsov/competitive-programming | 919d63130144347d7f6eddcf8f5bc2afb85fddf3 | [
"MIT"
] | null | null | null | codeforces.com/50A/solution.py | zubtsov/competitive-programming | 919d63130144347d7f6eddcf8f5bc2afb85fddf3 | [
"MIT"
] | null | null | null | board_width, board_length = list(map(int, input().split()))
domino_length = 2
if board_width % 2 == 0:
print((board_width // domino_length) * board_length)
elif board_length % 2 == 0:
print((board_length // domino_length) * board_width)
else:
print((board_width * board_length) // domino_length)
| 30.9 | 59 | 0.702265 | 44 | 309 | 4.613636 | 0.340909 | 0.246305 | 0.147783 | 0.206897 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019231 | 0.158576 | 309 | 9 | 60 | 34.333333 | 0.761538 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.375 | 0 | 0 | 0 | null | 1 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
55eb0d1aa42b32acbb82b840ccd0d8010c5a895a | 200 | py | Python | progress_bars.py | JonatasFontele/Algorithms_Structured-and-OOP-Exercises | 338f1c2f0bd14d52b183dd2572e2ac59bad13d17 | [
"MIT"
] | null | null | null | progress_bars.py | JonatasFontele/Algorithms_Structured-and-OOP-Exercises | 338f1c2f0bd14d52b183dd2572e2ac59bad13d17 | [
"MIT"
] | null | null | null | progress_bars.py | JonatasFontele/Algorithms_Structured-and-OOP-Exercises | 338f1c2f0bd14d52b183dd2572e2ac59bad13d17 | [
"MIT"
] | null | null | null | from tqdm import tqdm #pip install tqdm
import time
def complicated_function():
time.sleep(2) #Simulating some complicated processing
for i in tqdm(range(100)):
complicated_function() | 25 | 58 | 0.74 | 27 | 200 | 5.407407 | 0.703704 | 0.136986 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02454 | 0.185 | 200 | 8 | 59 | 25 | 0.871166 | 0.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.333333 | 0 | 0.5 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
55f622587bf6c18638ebd98e606f876766d28408 | 91 | py | Python | test/test_run.py | tusharvaja/Uplabel | c832253b03673d0356b257d60ea3719ab7941575 | [
"MIT"
] | 3 | 2019-06-08T00:35:03.000Z | 2021-01-25T13:17:22.000Z | test/test_run.py | tusharvaja/Uplabel | c832253b03673d0356b257d60ea3719ab7941575 | [
"MIT"
] | null | null | null | test/test_run.py | tusharvaja/Uplabel | c832253b03673d0356b257d60ea3719ab7941575 | [
"MIT"
] | 1 | 2019-06-06T20:13:58.000Z | 2019-06-06T20:13:58.000Z | import sys
sys.path.append('../code')
import main as m
ul = m.Main('tal', debug_iter_id=1) | 18.2 | 35 | 0.692308 | 18 | 91 | 3.388889 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0125 | 0.120879 | 91 | 5 | 35 | 18.2 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0.108696 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
55fd7d996fb641c455f339dc1789a387490a230a | 214 | py | Python | resttorrent/commands/get_session.py | shlee322/resttorrent | 781c1c1810140c27c4e29c7a0b421e86e2ed8d1d | [
"MIT"
] | null | null | null | resttorrent/commands/get_session.py | shlee322/resttorrent | 781c1c1810140c27c4e29c7a0b421e86e2ed8d1d | [
"MIT"
] | null | null | null | resttorrent/commands/get_session.py | shlee322/resttorrent | 781c1c1810140c27c4e29c7a0b421e86e2ed8d1d | [
"MIT"
] | null | null | null | from resttorrent.decorators import command
@command('1', '/sessions/<session_id>')
def get_session(session_id):
from resttorrent.modules.torrent import get_session as get_info
return get_info(session_id)
| 26.75 | 67 | 0.785047 | 30 | 214 | 5.366667 | 0.533333 | 0.167702 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005319 | 0.121495 | 214 | 7 | 68 | 30.571429 | 0.851064 | 0 | 0 | 0 | 0 | 0 | 0.107477 | 0.102804 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.4 | 0 | 0.8 | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
361f3ee422406ebcd127d9e2f10596fbf0daf888 | 854 | py | Python | backend/polls/migrations/0002_auto_20181107_1347.py | IINamelessII/YesOrNo | 0ebbdfbae73f0be7c807a8f6ca0ec7c2040cca19 | [
"Apache-2.0"
] | 3 | 2019-02-17T01:25:19.000Z | 2019-04-01T12:57:00.000Z | backend/polls/migrations/0002_auto_20181107_1347.py | IINamelessII/YesOrNo | 0ebbdfbae73f0be7c807a8f6ca0ec7c2040cca19 | [
"Apache-2.0"
] | 3 | 2021-03-08T23:44:34.000Z | 2022-02-12T05:07:13.000Z | backend/polls/migrations/0002_auto_20181107_1347.py | IINamelessII/YesOrNo | 0ebbdfbae73f0be7c807a8f6ca0ec7c2040cca19 | [
"Apache-2.0"
] | 2 | 2018-12-12T19:24:59.000Z | 2018-12-14T20:01:42.000Z | # Generated by Django 2.1.2 on 2018-11-07 13:47
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('polls', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='poll',
name='agree',
field=models.PositiveIntegerField(default=1),
),
migrations.AlterField(
model_name='poll',
name='disagree',
field=models.PositiveIntegerField(default=1),
),
migrations.AlterField(
model_name='poll',
name='dislikes',
field=models.PositiveIntegerField(default=1),
),
migrations.AlterField(
model_name='poll',
name='likes',
field=models.PositiveIntegerField(default=1),
),
]
| 25.117647 | 57 | 0.555035 | 75 | 854 | 6.253333 | 0.453333 | 0.170576 | 0.21322 | 0.247335 | 0.648188 | 0.565032 | 0.486141 | 0.486141 | 0.486141 | 0.486141 | 0 | 0.04021 | 0.330211 | 854 | 33 | 58 | 25.878788 | 0.77972 | 0.052693 | 0 | 0.592593 | 1 | 0 | 0.07311 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.037037 | 0 | 0.148148 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
362234037271924ee91ae7a661d9cb4f1dbcebf0 | 365 | py | Python | example.py | jinserk/PyASR | 97fceed74852a0b8ab54ee2fa593d3fc0a5a49ba | [
"Apache-2.0"
] | null | null | null | example.py | jinserk/PyASR | 97fceed74852a0b8ab54ee2fa593d3fc0a5a49ba | [
"Apache-2.0"
] | null | null | null | example.py | jinserk/PyASR | 97fceed74852a0b8ab54ee2fa593d3fc0a5a49ba | [
"Apache-2.0"
] | null | null | null | import os.path as op
from pyasr.features import mfcc
from pyasr.features import logfbank
import scipy.io.wavfile as wav
timit_base = "/home/leo/work/neural/timit/TIMIT"
wav_file = op.join(timit_base, "TRAIN/DR1/FCJF0/SI1027.WAV")
print wav_file
(rate,sig) = wav.read(wav_file)
mfcc_feat = mfcc(sig,rate)
fbank_feat = logfbank(sig,rate)
print(fbank_feat[1:3,:])
| 22.8125 | 60 | 0.764384 | 64 | 365 | 4.234375 | 0.53125 | 0.077491 | 0.125461 | 0.169742 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02454 | 0.106849 | 365 | 15 | 61 | 24.333333 | 0.806748 | 0 | 0 | 0 | 0 | 0 | 0.161644 | 0.161644 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.363636 | null | null | 0.181818 | 0 | 0 | 0 | null | 0 | 0 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
362508fa2aa4e3ee5235324f2687470d014503d9 | 411 | py | Python | bds/argparser.py | ervitis/bdir-data-service | 95b9ae3dbf7bd4dc2583d415ae2500593d914bea | [
"MIT"
] | null | null | null | bds/argparser.py | ervitis/bdir-data-service | 95b9ae3dbf7bd4dc2583d415ae2500593d914bea | [
"MIT"
] | null | null | null | bds/argparser.py | ervitis/bdir-data-service | 95b9ae3dbf7bd4dc2583d415ae2500593d914bea | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from argparse import ArgumentParser
class DataServiceArgumentParser(object):
def __init__(self):
self._parser = ArgumentParser()
def parse_build(self, short_description, long_description, **kwargs):
self._parser.add_argument(short_description, long_description, **kwargs)
return self
@property
def parser(self):
return self._parser
| 21.631579 | 80 | 0.693431 | 43 | 411 | 6.325581 | 0.55814 | 0.110294 | 0.147059 | 0.227941 | 0.272059 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003077 | 0.209246 | 411 | 18 | 81 | 22.833333 | 0.833846 | 0.051095 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.3 | false | 0 | 0.1 | 0.1 | 0.7 | 0 | 0 | 0 | 0 | null | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
3629126f10ebd6a700f0bb4ea76af84257329415 | 259 | py | Python | evm/utils/hexadecimal.py | zixuanzh/py-evm | de05e73036c663e85083316bc503549044792892 | [
"MIT"
] | 137 | 2017-03-17T11:37:51.000Z | 2022-03-07T07:51:28.000Z | evm/utils/hexadecimal.py | zixuanzh/py-evm | de05e73036c663e85083316bc503549044792892 | [
"MIT"
] | 102 | 2017-04-07T10:43:03.000Z | 2018-11-11T18:01:56.000Z | evm/utils/hexadecimal.py | zixuanzh/py-evm | de05e73036c663e85083316bc503549044792892 | [
"MIT"
] | 39 | 2017-03-17T11:38:52.000Z | 2021-02-18T23:05:17.000Z | from __future__ import unicode_literals
import codecs
def encode_hex(value):
return '0x' + codecs.decode(codecs.encode(value, 'hex'), 'utf8')
def decode_hex(value):
_, _, hex_part = value.rpartition('x')
return codecs.decode(hex_part, 'hex')
| 19.923077 | 68 | 0.706564 | 35 | 259 | 4.914286 | 0.485714 | 0.093023 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009174 | 0.158301 | 259 | 12 | 69 | 21.583333 | 0.779817 | 0 | 0 | 0 | 0 | 0 | 0.050193 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0.285714 | 0.142857 | 0.857143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
362fc78ccc8facbb517d515ac0e5b9560b2ea751 | 5,605 | py | Python | saleor/graphql/payment/tests/mutations/test_payment_capture.py | eanknd/saleor | 08aa724176be00d7aaf654f14e9ae99dd4327f97 | [
"CC-BY-4.0"
] | 1,392 | 2021-10-06T15:54:28.000Z | 2022-03-31T20:50:55.000Z | saleor/graphql/payment/tests/mutations/test_payment_capture.py | eanknd/saleor | 08aa724176be00d7aaf654f14e9ae99dd4327f97 | [
"CC-BY-4.0"
] | 888 | 2021-10-06T10:48:54.000Z | 2022-03-31T11:00:30.000Z | saleor/graphql/payment/tests/mutations/test_payment_capture.py | gustavoarmoa/saleor | f81b2f347e4c7a624cd68a1eca3b0a5611498f6e | [
"CC-BY-4.0"
] | 538 | 2021-10-07T16:21:27.000Z | 2022-03-31T22:58:57.000Z | from unittest.mock import patch
import graphene
from .....payment import TransactionKind
from .....payment.gateways.dummy_credit_card import (
TOKEN_EXPIRED,
TOKEN_VALIDATION_MAPPING,
)
from .....payment.models import ChargeStatus
from ....tests.utils import get_graphql_content
CAPTURE_QUERY = """
mutation PaymentCapture($paymentId: ID!, $amount: PositiveDecimal) {
paymentCapture(paymentId: $paymentId, amount: $amount) {
payment {
id,
chargeStatus
}
errors {
field
message
code
}
}
}
"""
def test_payment_capture_success(
staff_api_client, permission_manage_orders, payment_txn_preauth
):
payment = payment_txn_preauth
assert payment.charge_status == ChargeStatus.NOT_CHARGED
payment_id = graphene.Node.to_global_id("Payment", payment.pk)
variables = {"paymentId": payment_id, "amount": str(payment_txn_preauth.total)}
response = staff_api_client.post_graphql(
CAPTURE_QUERY, variables, permissions=[permission_manage_orders]
)
content = get_graphql_content(response)
data = content["data"]["paymentCapture"]
assert not data["errors"]
payment_txn_preauth.refresh_from_db()
assert payment.charge_status == ChargeStatus.FULLY_CHARGED
assert payment.transactions.count() == 2
txn = payment.transactions.last()
assert txn.kind == TransactionKind.CAPTURE
def test_payment_capture_with_invalid_argument(
staff_api_client, permission_manage_orders, payment_txn_preauth
):
payment = payment_txn_preauth
assert payment.charge_status == ChargeStatus.NOT_CHARGED
payment_id = graphene.Node.to_global_id("Payment", payment.pk)
variables = {"paymentId": payment_id, "amount": 0}
response = staff_api_client.post_graphql(
CAPTURE_QUERY, variables, permissions=[permission_manage_orders]
)
content = get_graphql_content(response)
data = content["data"]["paymentCapture"]
assert len(data["errors"]) == 1
assert data["errors"][0]["message"] == "Amount should be a positive number."
def test_payment_capture_with_payment_non_authorized_yet(
staff_api_client, permission_manage_orders, payment_dummy
):
"""Ensure capture a payment that is set as authorized is failing with
the proper error message.
"""
payment = payment_dummy
assert payment.charge_status == ChargeStatus.NOT_CHARGED
payment_id = graphene.Node.to_global_id("Payment", payment.pk)
variables = {"paymentId": payment_id, "amount": 1}
response = staff_api_client.post_graphql(
CAPTURE_QUERY, variables, permissions=[permission_manage_orders]
)
content = get_graphql_content(response)
data = content["data"]["paymentCapture"]
assert data["errors"] == [
{
"field": None,
"message": "Cannot find successful auth transaction.",
"code": "PAYMENT_ERROR",
}
]
def test_payment_capture_gateway_error(
staff_api_client, permission_manage_orders, payment_txn_preauth, monkeypatch
):
# given
payment = payment_txn_preauth
assert payment.charge_status == ChargeStatus.NOT_CHARGED
payment_id = graphene.Node.to_global_id("Payment", payment.pk)
variables = {"paymentId": payment_id, "amount": str(payment_txn_preauth.total)}
monkeypatch.setattr("saleor.payment.gateways.dummy.dummy_success", lambda: False)
# when
response = staff_api_client.post_graphql(
CAPTURE_QUERY, variables, permissions=[permission_manage_orders]
)
# then
content = get_graphql_content(response)
data = content["data"]["paymentCapture"]
assert data["errors"] == [
{"field": None, "message": "Unable to process capture", "code": "PAYMENT_ERROR"}
]
payment_txn_preauth.refresh_from_db()
assert payment.charge_status == ChargeStatus.NOT_CHARGED
assert payment.transactions.count() == 2
txn = payment.transactions.last()
assert txn.kind == TransactionKind.CAPTURE
assert not txn.is_success
@patch(
"saleor.payment.gateways.dummy_credit_card.plugin."
"DummyCreditCardGatewayPlugin.DEFAULT_ACTIVE",
True,
)
def test_payment_capture_gateway_dummy_credit_card_error(
staff_api_client, permission_manage_orders, payment_txn_preauth, monkeypatch
):
# given
token = TOKEN_EXPIRED
error = TOKEN_VALIDATION_MAPPING[token]
payment = payment_txn_preauth
payment.gateway = "mirumee.payments.dummy_credit_card"
payment.save()
transaction = payment.transactions.last()
transaction.token = token
transaction.save()
assert payment.charge_status == ChargeStatus.NOT_CHARGED
payment_id = graphene.Node.to_global_id("Payment", payment.pk)
variables = {"paymentId": payment_id, "amount": str(payment_txn_preauth.total)}
monkeypatch.setattr(
"saleor.payment.gateways.dummy_credit_card.dummy_success", lambda: False
)
# when
response = staff_api_client.post_graphql(
CAPTURE_QUERY, variables, permissions=[permission_manage_orders]
)
# then
content = get_graphql_content(response)
data = content["data"]["paymentCapture"]
assert data["errors"] == [
{"field": None, "message": error, "code": "PAYMENT_ERROR"}
]
payment_txn_preauth.refresh_from_db()
assert payment.charge_status == ChargeStatus.NOT_CHARGED
assert payment.transactions.count() == 2
txn = payment.transactions.last()
assert txn.kind == TransactionKind.CAPTURE
assert not txn.is_success
| 33.16568 | 88 | 0.706869 | 623 | 5,605 | 6.065811 | 0.189406 | 0.037047 | 0.06298 | 0.052924 | 0.750728 | 0.714739 | 0.702567 | 0.691188 | 0.691188 | 0.691188 | 0 | 0.001547 | 0.192685 | 5,605 | 168 | 89 | 33.363095 | 0.833591 | 0.022302 | 0 | 0.488722 | 0 | 0 | 0.182418 | 0.050366 | 0 | 0 | 0 | 0 | 0.165414 | 1 | 0.037594 | false | 0 | 0.045113 | 0 | 0.082707 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 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 | 3 |
36312c10c0caad738290f24f167f61c90e7c1847 | 54,386 | py | Python | code/lib/tfbldr/datasets/audio/datasets.py | dendisuhubdy/representation_mixing | 146ddc7a2cc34544bb4516149ccfcbe72eedd102 | [
"BSD-3-Clause"
] | 51 | 2018-11-16T16:11:40.000Z | 2020-04-07T08:12:26.000Z | code/lib/tfbldr/datasets/audio/datasets.py | dendisuhubdy/representation_mixing | 146ddc7a2cc34544bb4516149ccfcbe72eedd102 | [
"BSD-3-Clause"
] | 1 | 2018-11-30T08:36:58.000Z | 2018-12-18T16:37:07.000Z | code/lib/tfbldr/datasets/audio/datasets.py | dendisuhubdy/representation_mixing | 146ddc7a2cc34544bb4516149ccfcbe72eedd102 | [
"BSD-3-Clause"
] | 9 | 2018-11-21T12:54:42.000Z | 2020-07-17T07:39:24.000Z | from .audio_tools import stft
from .audio_tools import linear_to_mel_weight_matrix
from .audio_tools import stft
from .audio_tools import iterate_invert_spectrogram
from .audio_tools import soundsc
from ..text import pronounce_chars
from ..text.cleaning import text_to_sequence
from ..text.cleaning import sequence_to_text
from ..text.cleaning import cleaners
from ..text.cleaning import get_vocabulary_sizes
from ...core import get_logger
from scipy.io import wavfile
import numpy as np
import copy
import os
import json
logger = get_logger()
# As originally seen in sklearn.utils.extmath
# Credit to the sklearn team
def _incremental_mean_and_var(X, last_mean=.0, last_variance=None,
last_sample_count=0):
"""Calculate mean update and a Youngs and Cramer variance update.
last_mean and last_variance are statistics computed at the last step by the
function. Both must be initialized to 0.0. In case no scaling is required
last_variance can be None. The mean is always required and returned because
necessary for the calculation of the variance. last_n_samples_seen is the
number of samples encountered until now.
From the paper "Algorithms for computing the sample variance: analysis and
recommendations", by Chan, Golub, and LeVeque.
Parameters
----------
X : array-like, shape (n_samples, n_features)
Data to use for variance update
last_mean : array-like, shape: (n_features,)
last_variance : array-like, shape: (n_features,)
last_sample_count : int
Returns
-------
updated_mean : array, shape (n_features,)
updated_variance : array, shape (n_features,)
If None, only mean is computed
updated_sample_count : int
References
----------
T. Chan, G. Golub, R. LeVeque. Algorithms for computing the sample
variance: recommendations, The American Statistician, Vol. 37, No. 3,
pp. 242-247
Also, see the sparse implementation of this in
`utils.sparsefuncs.incr_mean_variance_axis` and
`utils.sparsefuncs_fast.incr_mean_variance_axis0`
"""
# old = stats until now
# new = the current increment
# updated = the aggregated stats
last_sum = last_mean * last_sample_count
new_sum = X.sum(axis=0)
new_sample_count = X.shape[0]
updated_sample_count = last_sample_count + new_sample_count
updated_mean = (last_sum + new_sum) / updated_sample_count
if last_variance is None:
updated_variance = None
else:
new_unnormalized_variance = X.var(axis=0) * new_sample_count
if last_sample_count == 0: # Avoid division by 0
updated_unnormalized_variance = new_unnormalized_variance
else:
last_over_new_count = last_sample_count / new_sample_count
last_unnormalized_variance = last_variance * last_sample_count
updated_unnormalized_variance = (
last_unnormalized_variance +
new_unnormalized_variance +
last_over_new_count / updated_sample_count *
(last_sum / last_over_new_count - new_sum) ** 2)
updated_variance = updated_unnormalized_variance / updated_sample_count
return updated_mean, updated_variance, updated_sample_count
class wavfile_caching_mel_tbptt_iterator(object):
def __init__(self, wavfile_list, txtfile_list,
batch_size,
truncation_length,
audio_processing="default",
symbol_processing="blended",
wav_scale = 2 ** 15,
window_size=512,
window_step=128,
n_mel_filters=80,
return_normalized=True,
lower_edge_hertz=125.0,
upper_edge_hertz=7800.0,
start_index=0,
stop_index=None,
cache_dir_base="/Tmp/kastner/tfbldr_cache",
shuffle=False, random_state=None):
self.wavfile_list = wavfile_list
self.wav_scale = wav_scale
self.txtfile_list = txtfile_list
self.batch_size = batch_size
self.truncation_length = truncation_length
self.random_state = random_state
self.shuffle = shuffle
self.cache_dir_base = cache_dir_base
self.return_normalized = return_normalized
self.lower_edge_hertz = lower_edge_hertz
self.upper_edge_hertz = upper_edge_hertz
self.audio_processing = audio_processing
self.symbol_processing = symbol_processing
symbol_opts = ["blended_pref", "blended", "chars_only", "phones_only", "both"]
if symbol_processing not in symbol_opts:
raise ValueError("symbol_processing set to invalid argument {}, should be one of {}".format(symbol_processing, symbol_opts))
if audio_processing != "default":
raise ValueError("Non-default settings not supported yet")
clean_names = ["english_cleaners", "english_phone_cleaners"]
self.clean_names = clean_names
self.vocabulary_sizes = get_vocabulary_sizes(clean_names)
self._special_chars = "!,:?"
self.window_size = window_size
self.window_step = window_step
self.n_mel_filters = n_mel_filters
self.start_index = start_index
self.stop_index = stop_index
if shuffle and self.random_state == None:
raise ValueError("Must pass random_state in")
if txtfile_list is not None:
# try to match every txt file and every wav file by name
wv_names_and_bases = sorted([(wv.split(os.sep)[-1], str(os.sep).join(wv.split(os.sep)[:-1])) for wv in self.wavfile_list])
tx_names_and_bases = sorted([(tx.split(os.sep)[-1], str(os.sep).join(tx.split(os.sep)[:-1])) for tx in self.txtfile_list])
wv_i = 0
tx_i = 0
wv_match = []
tx_match = []
wv_lu = {}
tx_lu = {}
for txnb in tx_names_and_bases:
if "." in txnb[0]:
tx_part = ".".join(txnb[0].split(".")[:1])
else:
# support txt files with no ext
tx_part = txnb[0]
tx_lu[tx_part] = txnb[1] + os.sep + txnb[0]
for wvnb in wv_names_and_bases:
wv_part = ".".join(wvnb[0].split(".")[:1])
wv_lu[wv_part] = wvnb[1] + os.sep + wvnb[0]
# set of in common keys
shared_k = sorted([k for k in wv_lu.keys() if k in tx_lu])
if self.symbol_processing == "blended_pref":
# no pruning needed for preferential blending
pass
elif self.symbol_processing == "blended":
# no pruning needed for blending
pass
elif self.symbol_processing == "chars_only":
# all txt files will have chars
pass
elif self.symbol_processing in ["phones_only", "both"]:
# not all files will have valid phones, need to prune the set of files up front to avoid complex issues later
print("Pruning files to only phone results...")
to_remove = []
for n, sk in enumerate(shared_k):
txtpath = tx_lu[sk]
if not txtpath.endswith(".json"):
raise ValueError("Expected .json file, path given was {}".format(txtpath))
with open(txtpath, "rb") as f:
tj = json.load(f)
no_phones = [False if "phones" in word else True for word in tj["words"]]
if any(no_phones):
to_remove.append(sk)
if n % 1000 == 0:
print("File {} of {} inspected".format(n + 1, len(shared_k)))
for tr in to_remove:
del wv_lu[tr]
if tr in tx_lu:
del tx_lu[tr]
shared_k = sorted([k for k in wv_lu.keys() if k in tx_lu])
else:
raise ValueError("Unknown value for self.symbol_processing {}".format(self.symbol_processing))
for k in shared_k:
wv_match.append(wv_lu[k])
tx_match.append(tx_lu[k])
self.wavfile_list = wv_match
self.txtfile_list = tx_match
self.cache = self.cache_dir_base + os.sep + "-".join(self.wavfile_list[0].split(os.sep)[1:-1])
if not os.path.exists(self.cache):
os.makedirs(self.cache)
if 0 < self.start_index < 1:
self.start_index = int(len(self.wavfile_list) * self.start_index)
elif self.start_index >= 1:
self.start_index = int(self.start_index)
if self.start_index >= len(self.wavfile_list):
raise ValueError("start_index {} >= length of wavfile list {}".format(self.start_index, len(self.wavfile_list)))
elif self.start_index == 0:
self.start_index = int(self.start_index)
else:
raise ValueError("Invalid value for start_index : {}".format(self.start_index))
if self.stop_index == None:
self.stop_index = len(self.wavfile_list)
elif 0 < self.stop_index < 1:
self.stop_index = int(len(self.wavfile_list) * self.stop_index)
elif self.stop_index >= 1:
self.stop_index = int(self.stop_index)
if self.stop_index >= len(self.wavfile_list):
raise ValueError("stop_index {} >= length of wavfile list {}".format(self.stop_index, len(self.wavfile_list)))
else:
raise ValueError("Invalid value for stop_index : {}".format(self.stop_index))
# could match sizes here...
self.wavfile_sizes_mbytes = [os.stat(wf).st_size // 1024 for wf in self.wavfile_list]
if return_normalized:
self.return_normalized = False
# reset random seed here
cur_random = self.random_state.get_state()
# set up for train / test splits
self.all_indices_ = np.arange(len(self.wavfile_list))
self.random_state.shuffle(self.all_indices_)
self.all_indices_ = sorted(self.all_indices_[self.start_index:self.stop_index])
self.current_indices_ = [self.random_state.choice(self.all_indices_) for i in range(self.batch_size)]
self.current_offset_ = [0] * self.batch_size
self.current_read_ = [self.cache_read_wav_and_txt_features(self.wavfile_list[i], self.txtfile_list[i]) for i in self.current_indices_]
self.to_reset_ = [0] * self.batch_size
mean, std = self.cache_calculate_mean_and_std_normalization()
self._mean = mean
self._std = std
self.random_state = np.random.RandomState()
self.random_state.set_state(cur_random)
self.return_normalized = True
# set up for train / test splits
self.all_indices_ = np.arange(len(self.wavfile_list))
self.random_state.shuffle(self.all_indices_)
self.all_indices_ = sorted(self.all_indices_[self.start_index:self.stop_index])
self.current_indices_ = [self.random_state.choice(self.all_indices_) for i in range(self.batch_size)]
self.current_offset_ = [0] * self.batch_size
self.current_read_ = [self.cache_read_wav_and_txt_features(self.wavfile_list[i], self.txtfile_list[i]) for i in self.current_indices_]
self.to_reset_ = [0] * self.batch_size
def next_batch(self):
mel_batch = np.zeros((self.truncation_length, self.batch_size, self.n_mel_filters))
resets = np.ones((self.batch_size, 1))
texts = []
masks = []
for bi in range(self.batch_size):
wf, txf, mf = self.current_read_[bi]
if self.to_reset_[bi] == 1:
self.to_reset_[bi] = 0
resets[bi] = 0.
# get a new sample
while True:
self.current_indices_[bi] = self.random_state.choice(self.all_indices_)
self.current_offset_[bi] = 0
try:
self.current_read_[bi] = self.cache_read_wav_and_txt_features(self.wavfile_list[self.current_indices_[bi]], self.txtfile_list[self.current_indices_[bi]])
except:
logger.info("FILE / TEXT READ ERROR {}:{}".format(self.wavfile_list[self.current_indices_[bi]], self.txtfile_list[self.current_indices_[bi]]))
try:
self.current_read_[bi] = self.cache_read_wav_and_txt_features(self.wavfile_list[self.current_indices_[bi]], self.txtfile_list[self.current_indices_[bi]], force_refresh=True)
logger.info("CORRECTED FILE / TEXT READ ERROR VIA CACHE REFRESH")
except:
logger.info("STILL FILE / TEXT READ ERROR AFTER REFRESH {}:{}".format(self.wavfile_list[self.current_indices_[bi]], self.txtfile_list[self.current_indices_[bi]]))
continue
wf, txf, mf = self.current_read_[bi]
if len(wf) > self.truncation_length:
break
trunc = self.current_offset_[bi] + self.truncation_length
if trunc >= len(wf):
self.to_reset_[bi] = 1
wf_sub = wf[self.current_offset_[bi]:trunc]
self.current_offset_[bi] = trunc
mel_batch[:len(wf_sub), bi] = wf_sub
texts.append(txf)
masks.append(mf)
if self.symbol_processing == "both":
tlen = max([len(t) for t in texts])
tlen2 = max([len(t) for t in texts])
text_batch = np.zeros((tlen, self.batch_size, 1))
text_batch2 = np.zeros((tlen2, self.batch_size, 1))
text_lengths = []
text_lengths2 = []
for bi in range(len(texts)):
txt = texts[bi]
# masks are overloaded to be phones / other text repr
txt2 = masks[bi]
text_lengths.append(len(txt))
text_lengths2.append(len(txt2))
text_batch[:len(txt), bi, 0] = txt
text_batch2[:len(txt2), bi, 0] = txt2
return mel_batch, text_batch, text_batch2, text_lengths, text_lengths2, resets
else:
mlen = max([len(t) for t in texts])
text_batch = np.zeros((mlen, self.batch_size, 1))
type_mask_batch = np.zeros((mlen, self.batch_size, 1))
text_lengths = []
for bi in range(len(texts)):
txt = texts[bi]
mask = masks[bi]
text_lengths.append(len(txt))
text_batch[:len(txt), bi, 0] = txt
type_mask_batch[:len(mask), bi, 0] = mask
return mel_batch, text_batch, type_mask_batch, text_lengths, resets
def next_masked_batch(self):
if self.symbol_processing == "both":
m, t, t2, tl, tl2, r = self.next_batch()
m_mask = np.ones_like(m[..., 0])
# not ideal, in theory could also hit on 0 mels but we aren't using this for now
# should find contiguous chunk starting from the end
m_mask[np.sum(m, axis=-1) == 0] = 0.
t_mask = np.zeros_like(t[..., 0])
t2_mask = np.zeros_like(t2[..., 0])
# was [:tli], making mask of all 1s...
for mbi, tli in enumerate(tl):
t_mask[:tli, mbi] = 1.
for mbi, tli in enumerate(tl2):
t2_mask[:tli, mbi] = 1.
return m, m_mask, t, t_mask, t2, t2_mask, r
else:
m, t, ma, tl, r = self.next_batch()
m_mask = np.ones_like(m[..., 0])
# not ideal, in theory could also hit on 0 mels but we aren't using this for now
# should find contiguous chunk starting from the end
m_mask[np.sum(m, axis=-1) == 0] = 0.
t_mask = np.zeros_like(t[..., 0])
ma_mask = np.zeros_like(ma[..., 0])
# was [:tli], making mask of all 1s...
for mbi, tli in enumerate(tl):
t_mask[:tli, mbi] = 1.
ma_mask[:tli, mbi] = 1.
return m, m_mask, t, t_mask, ma, ma_mask, r
def cache_calculate_mean_and_std_normalization(self, n_estimate=1000):
normpath = self._fpathmaker("norm-mean-std")
if not os.path.exists(normpath):
logger.info("Calculating normalization per-dim mean and std")
for i in range(n_estimate):
if (i % 10) == 0:
logger.info("Normalization batch {} of {}".format(i, n_estimate))
m, m_mask, t, t_mask, ma, ma_mask, r = self.next_masked_batch()
m = m[m_mask > 0]
m = m.reshape(-1, m.shape[-1])
if i == 0:
normalization_mean = np.mean(m, axis=0)
normalization_std = np.std(m, axis=0)
normalization_count = len(m)
else:
nmean, nstd, ncount = _incremental_mean_and_var(
m, normalization_mean, normalization_std,
normalization_count)
normalization_mean = nmean
normalization_std = nstd
normalization_count = ncount
d = {}
d["mean"] = normalization_mean
d["std"] = normalization_std
d["count"] = normalization_count
np.savez(normpath, **d)
norms = np.load(normpath)
mean = norms["mean"]
std = norms["std"]
norms.close()
return mean, std
def calculate_log_mel_features(self, sample_rate, waveform, window_size, window_step, lower_edge_hertz, upper_edge_hertz, n_mel_filters):
res = np.abs(stft(waveform, windowsize=window_size, step=window_step, real=False, compute_onesided=True))
mels = linear_to_mel_weight_matrix(
res.shape[1],
sample_rate,
lower_edge_hertz=lower_edge_hertz,
upper_edge_hertz=min(float(sample_rate) // 2, upper_edge_hertz),
n_filts=n_mel_filters, dtype=np.float64)
mel_res = np.dot(res, mels)
log_mel_res = np.log1p(mel_res)
return log_mel_res
def _fpathmaker(self, fname):
melpart = "-logmel-wsz{}-wst{}-leh{}-ueh{}-nmel{}.npz".format(self.window_size, self.window_step, int(self.lower_edge_hertz), int(self.upper_edge_hertz), self.n_mel_filters)
if self.txtfile_list is not None:
txtpart = "-txt-clean{}".format(str("".join(self.clean_names)))
npzpath = self.cache + os.sep + fname + txtpart + melpart
else:
npzpath = self.cache + os.sep + fname + melpart
return npzpath
def cache_read_wav_and_txt_features(self, wavpath, txtpath, force_refresh=False):
wavfeats, npzfile, npzpath = self.cache_read_wav_features(wavpath, return_npz=True, force_refresh=force_refresh)
txtfeats, txtmask = self.cache_read_txt_features(txtpath, npzfile=npzfile, npzpath=npzpath, force_refresh=force_refresh)
npzfile.close()
return wavfeats, txtfeats, txtmask
def cache_read_wav_features(self, wavpath, return_npz=False, force_refresh=False):
fname = ".".join(wavpath.split(os.sep)[-1].split(".")[:-1])
npzpath = self._fpathmaker(fname)
if force_refresh or not os.path.exists(npzpath):
sr, d = wavfile.read(wavpath)
d = d.astype("float64")
d = d / float(self.wav_scale)
log_mels = self.calculate_log_mel_features(sr, d, self.window_size, self.window_step,
self.lower_edge_hertz, self.upper_edge_hertz, self.n_mel_filters)
np.savez(npzpath, wavpath=wavpath, sample_rate=sr, log_mels=log_mels)
npzfile = np.load(npzpath)
log_mels = npzfile["log_mels"]
if self.return_normalized is True:
log_mels = (log_mels - self._mean) / self._std
if return_npz:
return log_mels, npzfile, npzpath
else:
return log_mels
def cache_read_txt_features(self, txtpath, npzfile=None, npzpath=None, force_refresh=False):
if npzfile is None or "word_list" not in npzfile:
if not txtpath.endswith(".json"):
raise ValueError("Expected .json file, path given was {}".format(txtpath))
with open(txtpath, "rb") as f:
tj = json.load(f)
# loaded json, now we need info
char_txt = tj["transcript"]
char_txt = char_txt.replace(u"\u2018", "'").replace(u"\u2019", "'")
char_txt = char_txt.replace("-", " ")
char_txt = char_txt.encode("ascii", "replace")
try:
clean_char_txt = cleaners.english_cleaners(char_txt)
except:
print("unicode devil in cache read txt features")
from IPython import embed; embed(); raise ValueError()
clean_char_txt_split = clean_char_txt.split(" ")
# need to get all the words and their paired phones, but also re-inject punctuations not found after cleaning... oy
# triplets of transcript word, aligned word, and tuple of phones
amalgam = []
int_clean_char_chunks = []
int_clean_phone_chunks = []
# offset to handle edge case with "uh/ah" recognition
offset = 0
for i in range(len(tj["words"])):
if i + offset >= len(clean_char_txt_split):
# edge case for 'uh' at the end of sentence
break
this_word = tj["words"][i]
this_base = this_word["word"]
if this_word["case"] == "not-found-in-transcript":
# we skip this...
offset -= 1
continue
if "alignedWord" in this_word:
this_align = this_word["alignedWord"]
elif this_word["case"] == "not-found-in-transcript":
this_align = this_base
elif this_word["case"] == "not-found-in-audio":
# if its not in the audio skip it
continue
else:
print("new case in cache read txt features")
from IPython import embed; embed(); raise ValueError()
try:
this_join_chars = str(clean_char_txt_split[i + offset])
except:
print("another except in cache read txt features")
from IPython import embed; embed(); raise ValueError()
int_clean_char_chunks.append(text_to_sequence(this_join_chars, [self.clean_names[0]])[:-1])
if "phones" in this_word:
this_phones = this_word["phones"]
hack_phones = [tp.split("_")[0] for tp in [_["phone"] for _ in this_phones]]
# add leading @
this_join_phones = "@" + "@".join(hack_phones)
specials = "!?.,;:"
if this_join_chars[-1] in specials:
this_join_phones += this_join_chars[-1]
int_clean_phone_chunks.append(text_to_sequence(this_join_phones, [self.clean_names[1]])[:-2])
else:
this_join_phones = [None]
this_phones = [None]
int_clean_phone_chunks.append([None])
amalgam.append((this_base, this_align, this_join_chars, this_join_phones, this_phones))
# check inversion is OK
#print(sequence_to_text(int_clean_char_chunks[i], [self.clean_names[0]]))
#print(sequence_to_text(int_clean_phone_chunks[i], [self.clean_names[1]]))
#aa = [sequence_to_text(int_clean_char_chunks[i], [self.clean_names[0]]) for i in range(len(int_clean_char_chunks))]
#cc = [sequence_to_text(int_clean_phone_chunks[i], [self.clean_names[1]]) for i in range(len(int_clean_phone_chunks))]
#bb = [a[2] for a in amalgam]
#dd = [a[3] for a in amalgam]
# check inversion is OK
#assert(aa == bb)
#assert(cc == dd)
word_list_invert = [sequence_to_text(int_clean_char_chunks[i], [self.clean_names[0]]) for i in range(len(int_clean_char_chunks))]
phone_list_invert = [sequence_to_text(int_clean_phone_chunks[i], [self.clean_names[1]]) for i in range(len(int_clean_phone_chunks))]
word_list = [a[2] for a in amalgam]
phone_list = [a[3] for a in amalgam]
# TODO: put em all in the npz, then figure out how / what to do on load...
if force_refresh or (npzfile is not None and "word_list" not in npzfile):
d = {k: v for k, v in npzfile.items()}
npzfile.close()
d["transcript"] = char_txt
d["clean_transcript"] = clean_char_txt
d["word_list"] = word_list
d["word_list_invert"] = word_list_invert
d["phone_list"] = phone_list
d["phone_list_invert"] = phone_list_invert
d["int_phone_chunks"] = int_clean_phone_chunks
d["int_char_chunks"] = int_clean_char_chunks
d["cleaners"] = "+".join(self.clean_names)
np.savez(npzpath, **d)
npzfile = np.load(npzpath)
int_char_chunks = [list(c) for c in npzfile["int_char_chunks"]]
int_phone_chunks = [list(p) for p in npzfile["int_phone_chunks"]]
if len(int_char_chunks) != len(int_phone_chunks):
# will need to handle edge case of no valid phones here...
print("handle the char / phone different length edge case here cache read txt features")
from IPython import embed; embed(); raise ValueError()
else:
if self.symbol_processing == "both":
spc = text_to_sequence(" ", [self.clean_names[0]])[0]
spc2 = text_to_sequence(" ", [self.clean_names[1]])[0]
first_char = int_char_chunks[0]
first_phones = int_phone_chunks[0]
for ii in range(len(int_char_chunks) - 1):
first_char += [spc]
first_char += int_char_chunks[ii + 1]
for ii in range(len(int_phone_chunks) - 1):
first_phones += [spc2]
first_phones += int_phone_chunks[ii + 1]
return first_char, first_phones
#w = [sequence_to_text(int_char_chunks[i], [self.clean_names[0]]) for i in range(len(int_char_chunks))]
#p = [sequence_to_text(int_phone_chunks[i], [self.clean_names[1]]) for i in range(len(int_phone_chunks))]
# 50/50 split right now for blended, allow this balance to be set manually?
char_phone_mask = [0] * len(int_char_chunks) + [1] * len(int_phone_chunks)
self.random_state.shuffle(char_phone_mask)
char_phone_mask = char_phone_mask[:len(int_char_chunks)]
# setting char_phone_mask to 0 will use chars, 1 will use phones
# these if statements override the default for blended... (above)
if self.symbol_processing == "blended_pref":
char_phone_mask = [0 if len(int_phone_chunks[i]) == 0 else 1 for i in range(len(int_char_chunks))]
elif self.symbol_processing == "phones_only":
# set the mask to use only phones
# all files should have phones because of earlier preproc...
char_phone_mask = [1 for i in range(len(char_phone_mask))]
elif self.symbol_processing == "chars_only":
# only use chars
char_phone_mask = [0 for i in range(len(char_phone_mask))]
# if the phones entry is None, the word was OOV or not recognized
char_phone_int_seq = [int_char_chunks[i] if (len(int_phone_chunks[i]) == 0 or char_phone_mask[i] == 0) else int_phone_chunks[i] for i in range(len(int_char_chunks))]
# check the inverse is ok
#char_phone_txt = [sequence_to_text(char_phone_int_seq[i], [self.clean_names[char_phone_mask[i]]]) for i in range(len(char_phone_int_seq))]
# combine into 1 sequence
cphi = char_phone_int_seq[0]
cpm = [char_phone_mask[0]] * len(char_phone_int_seq[0])
if self.symbol_processing != "phones_only":
spc = text_to_sequence(" ", [self.clean_names[0]])[0]
else:
spc = text_to_sequence(" ", [self.clean_names[1]])[0]
for i in range(len(char_phone_int_seq[1:])):
# add space
cphi += [spc]
# always treat space as char unless in phones only mode
if self.symbol_processing != "phones_only":
cpm += [0]
else:
cpm += [1]
cphi += char_phone_int_seq[i + 1]
cpm += [char_phone_mask[i + 1]] * len(char_phone_int_seq[i + 1])
# check inverse
#cpt = "".join([sequence_to_text([cphi[i]], [self.clean_names[cpm[i]]]) for i in range(len(cphi))])
return cphi, cpm
def transform_txt(self, char_seq, auto_pronounce=True, phone_seq=None, force_char_spc=True):
"""
chars format example: "i am learning english."
phone_seq format example: "@ay @ae@m @l@er@n@ih@ng @ih@ng@g@l@ih@sh"
phone_seq formatting can be gotten from text, using the pronounce_chars function with 'from tfbldr.datasets.text import pronounce_chars'
Uses cmudict to do pronunciation
"""
if phone_seq is None and auto_pronounce is False and self.symbol_processing != "chars_only":
raise ValueError("phone_seq argument must be provided for iterator with self.symbol_processing != 'chars_only', currently '{}'".format(self.symbol_processing))
clean_char_seq = cleaners.english_cleaners(char_seq)
char_seq_chunk = clean_char_seq.split(" ")
dirty_seq_chunk = char_seq.split(" ")
if auto_pronounce is True:
if phone_seq is not None:
raise ValueError("auto_pronounce set to True, but phone_seq was provided! Pass phone_seq=None for auto_pronounce=True")
# take out specials then put them back...
specials = "!?.,;:"
puncts = "!?."
tsc = []
for n, csc in enumerate(char_seq_chunk):
broke = False
for s in specials:
if s in csc:
new = csc.replace(s, "")
tsc.append(new)
broke = True
break
if not broke:
tsc.append(csc)
if self.symbol_processing == "blended_pref":
chunky_phone_seq_chunk = [pronounce_chars(w, raw_line=dirty_seq_chunk[ii], cmu_only=True) for ii, w in enumerate(tsc)]
phone_seq_chunk = [cpsc[0] if cpsc != None else None for cpsc in chunky_phone_seq_chunk]
else:
phone_seq_chunk = [pronounce_chars(w) for w in tsc]
for n, psc in enumerate(phone_seq_chunk):
for s in specials:
if char_seq_chunk[n][-1] == s and phone_seq_chunk[n] != None:
phone_seq_chunk[n] += char_seq_chunk[n][-1]
#if char_seq_chunk[n][-1] in puncts and n != (len(phone_seq_chunk) - 1):
# # add eos
# char_seq_chunk[n] += "~"
# phone_seq_chunk[n] += "~"
break
else:
raise ValueError("Non auto_pronounce setting not yet configured")
if len(char_seq_chunk) != len(phone_seq_chunk):
raise ValueError("Char and phone chunking resulted in different lengths {} and {}!\n{}\n{}".format(len(char_seq_chunk), len(phone_seq_chunk), char_seq_chunk, phone_seq_chunk))
if self.symbol_processing != "phones_only":
spc = text_to_sequence(" ", [self.clean_names[0]])[0]
else:
spc = text_to_sequence(" ", [self.clean_names[1]])[0]
int_char_chunks = []
int_phone_chunks = []
for n in range(len(char_seq_chunk)):
int_char_chunks.append(text_to_sequence(char_seq_chunk[n], [self.clean_names[0]])[:-1])
if phone_seq_chunk[n] == None:
int_phone_chunks.append([])
else:
int_phone_chunks.append(text_to_sequence(phone_seq_chunk[n], [self.clean_names[1]])[:-2])
# check inverses
# w = [sequence_to_text(int_char_chunks[i], [self.clean_names[0]]) for i in range(len(int_char_chunks))]
# p = [sequence_to_text(int_phone_chunks[i], [self.clean_names[1]]) for i in range(len(int_phone_chunks))]
# TODO: Unify the two functions?
char_phone_mask = [0] * len(int_char_chunks) + [1] * len(int_phone_chunks)
self.random_state.shuffle(char_phone_mask)
char_phone_mask = char_phone_mask[:len(int_char_chunks)]
# setting char_phone_mask to 0 will use chars, 1 will use phones
# these if statements override the default for blended... (above)
if self.symbol_processing == "blended_pref":
char_phone_mask = [0 if len(int_phone_chunks[i]) == 0 else 1 for i in range(len(int_char_chunks))]
elif self.symbol_processing == "phones_only":
# set the mask to use only phones
# all files should have phones because of earlier preproc...
char_phone_mask = [1 for i in range(len(char_phone_mask))]
elif self.symbol_processing == "chars_only":
# only use chars
char_phone_mask = [0 for i in range(len(char_phone_mask))]
# if the phones entry is None, the word was OOV or not recognized
char_phone_int_seq = [int_char_chunks[i] if (len(int_phone_chunks[i]) == 0 or char_phone_mask[i] == 0) else int_phone_chunks[i] for i in range(len(int_char_chunks))]
# check the inverse is ok
# char_phone_txt = [sequence_to_text(char_phone_int_seq[i], [self.clean_names[char_phone_mask[i]]]) for i in range(len(char_phone_int_seq))]
# combine into 1 sequence
cphi = char_phone_int_seq[0]
cpm = [char_phone_mask[0]] * len(char_phone_int_seq[0])
if force_char_spc or self.symbol_processing != "phones_only":
spc = text_to_sequence(" ", [self.clean_names[0]])[0]
else:
spc = text_to_sequence(" ", [self.clean_names[1]])[0]
for i in range(len(char_phone_int_seq[1:])):
# add space
cphi += [spc]
# always treat space as char unless in phones only mode
if force_char_spc or self.symbol_processing != "phones_only":
cpm += [0]
else:
cpm += [1]
cphi += char_phone_int_seq[i + 1]
cpm += [char_phone_mask[i + 1]] * len(char_phone_int_seq[i + 1])
# trailing space
#cphi = cphi + [spc]
# trailing eos
cphi = cphi + [1]
# add trailing symbol
if self.symbol_processing != "phones_only":
cpm += [0]
else:
cpm += [1]
# check inverse
#cpt = "".join([sequence_to_text([cphi[i]], [self.clean_names[cpm[i]]]) for i in range(len(cphi))])
#if None in phone_seq_chunk:
#print("NUN")
#print(cpt)
#from IPython import embed; embed(); raise ValueError()
return cphi, cpm
def inverse_transform_txt(self, int_seq, mask):
"""
mask set to zero will use chars, mask set to 1 will use phones
should invert the transform_txt function
"""
cphi = int_seq
cpm = mask
cpt = "".join([sequence_to_text([cphi[i]], [self.clean_names[cpm[i]]]) for i in range(len(cphi))])
return cpt
# setting char_phone_mask to 0 will use chars, 1 will use phones
class old_wavfile_caching_mel_tbptt_iterator(object):
def __init__(self, wavfile_list, txtfile_list,
batch_size,
truncation_length,
clean_names,
wav_scale = 2 ** 15,
window_size=512,
window_step=128,
n_mel_filters=80,
return_normalized=True,
lower_edge_hertz=125.0,
upper_edge_hertz=7800.0,
start_index=0,
stop_index=None,
cache_dir_base="/Tmp/kastner/tfbldr_cache",
shuffle=False, random_state=None):
self.wavfile_list = wavfile_list
self.wav_scale = wav_scale
self.txtfile_list = txtfile_list
self.batch_size = batch_size
self.truncation_length = truncation_length
self.random_state = random_state
self.shuffle = shuffle
self.cache_dir_base = cache_dir_base
self.return_normalized = return_normalized
self.lower_edge_hertz = lower_edge_hertz
self.upper_edge_hertz = upper_edge_hertz
self.clean_names = clean_names
self.vocabulary_size = get_vocabulary_size(clean_names)
self.window_size = window_size
self.window_step = window_step
self.n_mel_filters = n_mel_filters
self.start_index = start_index
self.stop_index = stop_index
if shuffle and self.random_state == None:
raise ValueError("Must pass random_state in")
if txtfile_list is not None:
# try to match every txt file and every wav file by name
wv_names_and_bases = sorted([(wv.split(os.sep)[-1], str(os.sep).join(wv.split(os.sep)[:-1])) for wv in self.wavfile_list])
tx_names_and_bases = sorted([(tx.split(os.sep)[-1], str(os.sep).join(tx.split(os.sep)[:-1])) for tx in self.txtfile_list])
wv_i = 0
tx_i = 0
wv_match = []
tx_match = []
wv_lu = {}
tx_lu = {}
for txnb in tx_names_and_bases:
if "." in txnb[0]:
tx_part = ".".join(txnb[0].split(".")[:1])
else:
# support txt files with no ext
tx_part = txnb[0]
tx_lu[tx_part] = txnb[1] + os.sep + txnb[0]
for wvnb in wv_names_and_bases:
wv_part = ".".join(wvnb[0].split(".")[:1])
wv_lu[wv_part] = wvnb[1] + os.sep + wvnb[0]
# set of in common keys
shared_k = sorted([k for k in wv_lu.keys() if k in tx_lu])
for k in shared_k:
wv_match.append(wv_lu[k])
tx_match.append(tx_lu[k])
self.wavfile_list = wv_match
self.txtfile_list = tx_match
self.cache = self.cache_dir_base + os.sep + "-".join(self.wavfile_list[0].split(os.sep)[1:-1])
if not os.path.exists(self.cache):
os.makedirs(self.cache)
if 0 < self.start_index < 1:
self.start_index = int(len(self.wavfile_list) * self.start_index)
elif self.start_index >= 1:
self.start_index = int(self.start_index)
if self.start_index >= len(self.wavfile_list):
raise ValueError("start_index {} >= length of wavfile list {}".format(self.start_index, len(self.wavfile_list)))
elif self.start_index == 0:
self.start_index = int(self.start_index)
else:
raise ValueError("Invalid value for start_index : {}".format(self.start_index))
if self.stop_index == None:
self.stop_index = len(self.wavfile_list)
elif 0 < self.stop_index < 1:
self.stop_index = int(len(self.wavfile_list) * self.stop_index)
elif self.stop_index >= 1:
self.stop_index = int(self.stop_index)
if self.stop_index >= len(self.wavfile_list):
raise ValueError("stop_index {} >= length of wavfile list {}".format(self.stop_index, len(self.wavfile_list)))
else:
raise ValueError("Invalid value for stop_index : {}".format(self.stop_index))
# could match sizes here...
self.wavfile_sizes_mbytes = [os.stat(wf).st_size // 1024 for wf in self.wavfile_list]
if return_normalized:
self.return_normalized = False
# reset random seed here
cur_random = self.random_state.get_state()
# set up for train / test splits
self.all_indices_ = np.arange(len(self.wavfile_list))
self.random_state.shuffle(self.all_indices_)
self.all_indices_ = sorted(self.all_indices_[self.start_index:self.stop_index])
self.current_indices_ = [self.random_state.choice(self.all_indices_) for i in range(self.batch_size)]
self.current_offset_ = [0] * self.batch_size
self.current_read_ = [self.cache_read_wav_and_txt_features(self.wavfile_list[i], self.txtfile_list[i]) for i in self.current_indices_]
self.to_reset_ = [0] * self.batch_size
mean, std = self.cache_calculate_mean_and_std_normalization()
self._mean = mean
self._std = std
self.random_state = np.random.RandomState()
self.random_state.set_state(cur_random)
self.return_normalized = True
# set up for train / test splits
self.all_indices_ = np.arange(len(self.wavfile_list))
self.random_state.shuffle(self.all_indices_)
self.all_indices_ = sorted(self.all_indices_[self.start_index:self.stop_index])
self.current_indices_ = [self.random_state.choice(self.all_indices_) for i in range(self.batch_size)]
self.current_offset_ = [0] * self.batch_size
self.current_read_ = [self.cache_read_wav_and_txt_features(self.wavfile_list[i], self.txtfile_list[i]) for i in self.current_indices_]
self.to_reset_ = [0] * self.batch_size
def next_batch(self):
mel_batch = np.zeros((self.truncation_length, self.batch_size, self.n_mel_filters))
resets = np.ones((self.batch_size, 1))
texts = []
for bi in range(self.batch_size):
wf, txf = self.current_read_[bi]
if self.to_reset_[bi] == 1:
self.to_reset_[bi] = 0
resets[bi] = 0.
# get a new sample
while True:
self.current_indices_[bi] = self.random_state.choice(self.all_indices_)
self.current_offset_[bi] = 0
try:
self.current_read_[bi] = self.cache_read_wav_and_txt_features(self.wavfile_list[self.current_indices_[bi]], self.txtfile_list[self.current_indices_[bi]])
except:
logger.info("FILE / TEXT READ ERROR {}:{}".format(self.wavfile_list[self.current_indices_[bi]], self.txtfile_list[self.current_indices_[bi]]))
try:
self.current_read_[bi] = self.cache_read_wav_and_txt_features(self.wavfile_list[self.current_indices_[bi]], self.txtfile_list[self.current_indices_[bi]], force_refresh=True)
logger.info("CORRECTED FILE / TEXT READ ERROR VIA CACHE REFRESH")
except:
logger.info("STILL FILE / TEXT READ ERROR AFTER REFRESH {}:{}".format(self.wavfile_list[self.current_indices_[bi]], self.txtfile_list[self.current_indices_[bi]]))
continue
wf, txf = self.current_read_[bi]
if len(wf) > self.truncation_length:
break
trunc = self.current_offset_[bi] + self.truncation_length
if trunc >= len(wf):
self.to_reset_[bi] = 1
wf_sub = wf[self.current_offset_[bi]:trunc]
self.current_offset_[bi] = trunc
mel_batch[:len(wf_sub), bi] = wf_sub
texts.append(txf)
mlen = max([len(t) for t in texts])
text_batch = np.zeros((mlen, self.batch_size, 1))
for bi, txt in enumerate(texts):
text_batch[:len(txt), bi, 0] = txt
return mel_batch, text_batch, resets
def next_masked_batch(self):
m, t, r = self.next_batch()
m_mask = np.ones_like(m[..., 0])
# not ideal, in theory could also hit on 0 mels but we aren't using this for now
# should find contiguous chunk starting from the end
m_mask[np.sum(m, axis=-1) == 0] = 0.
t_mask = np.zeros_like(t[..., 0])
t_mask[t[..., 0] > 0] = 1.
return m, m_mask, t, t_mask, r
def cache_calculate_mean_and_std_normalization(self, n_estimate=1000):
normpath = self._fpathmaker("norm-mean-std")
if not os.path.exists(normpath):
logger.info("Calculating normalization per-dim mean and std")
for i in range(n_estimate):
if (i % 10) == 0:
logger.info("Normalization batch {} of {}".format(i, n_estimate))
m, m_mask, t, t_mask, r = self.next_masked_batch()
m = m[m_mask > 0]
m = m.reshape(-1, m.shape[-1])
if i == 0:
normalization_mean = np.mean(m, axis=0)
normalization_std = np.std(m, axis=0)
normalization_count = len(m)
else:
nmean, nstd, ncount = _incremental_mean_and_var(
m, normalization_mean, normalization_std,
normalization_count)
normalization_mean = nmean
normalization_std = nstd
normalization_count = ncount
d = {}
d["mean"] = normalization_mean
d["std"] = normalization_std
d["count"] = normalization_count
np.savez(normpath, **d)
norms = np.load(normpath)
mean = norms["mean"]
std = norms["std"]
norms.close()
return mean, std
def calculate_log_mel_features(self, sample_rate, waveform, window_size, window_step, lower_edge_hertz, upper_edge_hertz, n_mel_filters):
res = np.abs(stft(waveform, windowsize=window_size, step=window_step, real=False, compute_onesided=True))
mels = linear_to_mel_weight_matrix(
res.shape[1],
sample_rate,
lower_edge_hertz=lower_edge_hertz,
upper_edge_hertz=min(float(sample_rate) // 2, upper_edge_hertz),
n_filts=n_mel_filters, dtype=np.float64)
mel_res = np.dot(res, mels)
log_mel_res = np.log1p(mel_res)
return log_mel_res
def _fpathmaker(self, fname):
melpart = "-logmel-wsz{}-wst{}-leh{}-ueh{}-nmel{}.npz".format(self.window_size, self.window_step, int(self.lower_edge_hertz), int(self.upper_edge_hertz), self.n_mel_filters)
if self.txtfile_list is not None:
txtpart = "-txt-clean{}".format(str("".join(self.clean_names)))
npzpath = self.cache + os.sep + fname + txtpart + melpart
else:
npzpath = self.cache + os.sep + fname + melpart
return npzpath
def cache_read_wav_features(self, wavpath, return_npz=False, force_refresh=False):
fname = ".".join(wavpath.split(os.sep)[-1].split(".")[:-1])
npzpath = self._fpathmaker(fname)
if force_refresh or not os.path.exists(npzpath):
sr, d = wavfile.read(wavpath)
d = d.astype("float64")
d = d / float(self.wav_scale)
log_mels = self.calculate_log_mel_features(sr, d, self.window_size, self.window_step,
self.lower_edge_hertz, self.upper_edge_hertz, self.n_mel_filters)
np.savez(npzpath, wavpath=wavpath, sample_rate=sr, log_mels=log_mels)
npzfile = np.load(npzpath)
log_mels = npzfile["log_mels"]
if self.return_normalized is True:
log_mels = (log_mels - self._mean) / self._std
if return_npz:
return log_mels, npzfile, npzpath
else:
return log_mels
def transform_txt(self, line, txt_line=None, timing_sym_list=None):
if txt_line == None and timing_sym_list == None:
int_txt = text_to_sequence(line, self.clean_names)
elif timing_sym_list == None:
clean_orig_chunks = txt_line.split(" ")
raw_chunks = line.split(" ")
if len(raw_chunks) == len(clean_orig_chunks):
mutated = raw_chunks
for chunk_i in range(len(mutated)):
for special in "!,:?":
if special in clean_orig_chunks[chunk_i]:
if clean_orig_chunks[chunk_i][0] == special:
mutated[chunk_i] = special + mutated[chunk_i]
elif clean_orig_chunks[chunk_i][-1] == special:
mutated[chunk_i] = mutated[chunk_i] + special
#if it's in the middle we don't really know what to do... skip it
res_txt = " ".join(mutated)
else:
res_txt = line
int_txt = text_to_sequence(res_txt, self.clean_names)
else:
clean_orig_chunks = txt_line.split(" ")
raw_chunks = line.split(" ")
if len(raw_chunks) == len(clean_orig_chunks) and len(raw_chunks) == (len(timing_sym_list) - 1):
mutated = raw_chunks
for chunk_i in range(len(mutated)):
for special in ["1","2","3","4"]:
if special in clean_orig_chunks[chunk_i]:
if clean_orig_chunks[chunk_i][0] == special:
mutated[chunk_i] = special + mutated[chunk_i]
elif clean_orig_chunks[chunk_i][-1] == special:
mutated[chunk_i] = mutated[chunk_i] + special
#if it's in the middle we don't really know what to do... skip it
res_txt = []
res_txt.append(timing_sym_list[0])
res_txt += [a.strip() + b for a, b in zip(mutated, timing_sym_list[1:])]
res_txt = "".join(res_txt)
#int_txt = text_to_sequence(res_txt, self.clean_names)
#rr = sequence_to_text(int_txt, self.clean_names)
else:
res_txt = line
int_txt = text_to_sequence(res_txt, self.clean_names)
return int_txt
def inverse_transform_txt(self, int_line):
clean_txt = sequence_to_text(int_line, self.clean_names)
return clean_txt
def cache_read_txt_features(self, txtpath, npzfile=None, npzpath=None, force_refresh=False):
if npzfile is None or "raw_txt" not in npzfile:
with open(txtpath, "rb") as f:
lines = f.readlines()
raw_txt = lines[0]
# insert commas, semicolons, punctuation, etc from original transcript...
if "english_phone_cleaners" in self.clean_names:
if len(lines) < 2:
raise ValueError("Original text not commented on second line, necessary for phone transcript")
# skip '# '
orig_txt = lines[1][2:]
clean_orig_txt = cleaners.english_cleaners(orig_txt)
int_txt = self.transform_txt(raw_txt, clean_orig_txt)
elif "english_phone_pause_cleaners" in self.clean_names:
if len(lines) < 3:
raise ValueError("Original text not commented on second line, timing double not commented on third line, necessary for phone pause with transcript")
timings = np.array([float(si) for si in lines[2][3:].split(" ")])
# centers gotten from preprocessing code
timing_centers = np.array([0.00, 0.01, 0.02, 0.08, 0.25])
timing_symbols = np.array([" ", "1", "2", "3", "4"])
# 0.00
# 0.01
# 0.02
# 0.08
# 0.25
center_indices = np.argmin(np.abs(timings - timing_centers[:, None]), axis=0)
timings_quantized = timing_centers[center_indices]
symbols_quantized = [str(ts) for ts in timing_symbols[center_indices]]
orig_txt = lines[1][2:]
clean_orig_txt = cleaners.english_cleaners(orig_txt)
int_txt = self.transform_txt(raw_txt, clean_orig_txt, symbols_quantized)
else:
int_txt = text_to_sequence(raw_txt, self.clean_names)
clean_txt = sequence_to_text(int_txt, self.clean_names)
if force_refresh or (npzfile is not None and "raw_txt" not in npzfile):
d = {k: v for k, v in npzfile.items()}
npzfile.close()
d["raw_txt"] = raw_txt
d["clean_txt"] = clean_txt
d["int_txt"] = int_txt
d["cleaners"] = "+".join(self.clean_names)
np.savez(npzpath, **d)
npzfile = np.load(npzpath)
int_txt = npzfile["int_txt"]
return int_txt
def cache_read_wav_and_txt_features(self, wavpath, txtpath, force_refresh=False):
wavfeats, npzfile, npzpath = self.cache_read_wav_features(wavpath, return_npz=True, force_refresh=force_refresh)
txtfeats = self.cache_read_txt_features(txtpath, npzfile=npzfile, npzpath=npzpath, force_refresh=force_refresh)
npzfile.close()
return wavfeats, txtfeats
| 49.804029 | 201 | 0.580572 | 7,055 | 54,386 | 4.20978 | 0.085188 | 0.018519 | 0.020269 | 0.011111 | 0.753098 | 0.725084 | 0.694646 | 0.679798 | 0.668182 | 0.654276 | 0 | 0.011389 | 0.318722 | 54,386 | 1,091 | 202 | 49.849679 | 0.790187 | 0.122219 | 0 | 0.704626 | 0 | 0.001186 | 0.060203 | 0.006242 | 0.001186 | 0 | 0 | 0.001833 | 0 | 1 | 0.027284 | false | 0.007117 | 0.023725 | 0 | 0.084223 | 0.007117 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 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 | 3 |
365c7727441f3ce45c6c2000a56516dcbb47ecda | 411 | py | Python | test.py | kumarsibi/pystache | 0fe2c72ce73fcae8962c975336a90f3ae172bead | [
"MIT"
] | null | null | null | test.py | kumarsibi/pystache | 0fe2c72ce73fcae8962c975336a90f3ae172bead | [
"MIT"
] | null | null | null | test.py | kumarsibi/pystache | 0fe2c72ce73fcae8962c975336a90f3ae172bead | [
"MIT"
] | 1 | 2020-11-07T18:27:14.000Z | 2020-11-07T18:27:14.000Z | #!/usr/bin/env python
# coding: utf-8
import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
import unittest
import xmlrunner
def runner(output='python_tests_xml'):
return xmlrunner.XMLTestRunner(
output=output
)
def find_tests():
return unittest.TestLoader().discover('pystache')
if __name__ == '__main__':
runner().run(find_tests())
| 21.631579 | 82 | 0.705596 | 55 | 411 | 4.981818 | 0.618182 | 0.065693 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005666 | 0.141119 | 411 | 18 | 83 | 22.833333 | 0.770538 | 0.082725 | 0 | 0 | 0 | 0 | 0.090667 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0.307692 | 0.153846 | 0.615385 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 3 |
3661027196354098e56a0da8e7b8ce7a0c21d9f2 | 545 | py | Python | tests/test_managers/test_experiment.py | DXist/polyaxon-cli | 0b01512548f9faea77fb60cb7c6bd327e0638b13 | [
"MIT"
] | null | null | null | tests/test_managers/test_experiment.py | DXist/polyaxon-cli | 0b01512548f9faea77fb60cb7c6bd327e0638b13 | [
"MIT"
] | null | null | null | tests/test_managers/test_experiment.py | DXist/polyaxon-cli | 0b01512548f9faea77fb60cb7c6bd327e0638b13 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
from unittest import TestCase
from polyaxon_cli.managers.experiment import ExperimentManager
from polyaxon_cli.schemas import ExperimentConfig
class TestExperimentManager(TestCase):
def test_default_props(self):
assert ExperimentManager.IS_GLOBAL is False
assert ExperimentManager.IS_POLYAXON_DIR is True
assert ExperimentManager.CONFIG_FILE_NAME == '.polyaxonxp'
assert ExperimentManager.CONFIG == ExperimentConfig
| 34.0625 | 66 | 0.790826 | 59 | 545 | 7.050847 | 0.610169 | 0.221154 | 0.072115 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002165 | 0.152294 | 545 | 15 | 67 | 36.333333 | 0.898268 | 0.038532 | 0 | 0 | 0 | 0 | 0.021073 | 0 | 0 | 0 | 0 | 0 | 0.4 | 1 | 0.1 | false | 0 | 0.4 | 0 | 0.6 | 0.1 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
36717bfecfbfd8a9a0b115372c8d020c263787e1 | 321 | py | Python | Famcy/_responses_/RedirectPageTab/RedirectPageTab.py | nexuni/Famcy | 80f8f18fe1614ab3c203ca3466b9506b494470bf | [
"Apache-2.0"
] | null | null | null | Famcy/_responses_/RedirectPageTab/RedirectPageTab.py | nexuni/Famcy | 80f8f18fe1614ab3c203ca3466b9506b494470bf | [
"Apache-2.0"
] | 12 | 2022-02-05T04:56:44.000Z | 2022-03-30T09:59:26.000Z | Famcy/_responses_/RedirectPageTab/RedirectPageTab.py | nexuni/Famcy | 80f8f18fe1614ab3c203ca3466b9506b494470bf | [
"Apache-2.0"
] | null | null | null | import Famcy
class RedirectPageTab(Famcy.FamcyResponse):
def __init__(self, redirect_tab="", target=None):
super(RedirectPageTab, self).__init__(target=target)
self.redirect_tab = redirect_tab
def response(self, sijax_response):
sijax_response.redirect(url_for("main.generate_tab_page", tab=self.redirect_tab)) | 32.1 | 83 | 0.797508 | 42 | 321 | 5.690476 | 0.47619 | 0.1841 | 0.188285 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.087227 | 321 | 10 | 83 | 32.1 | 0.8157 | 0 | 0 | 0 | 0 | 0 | 0.068323 | 0.068323 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0.142857 | 0 | 0.571429 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
367ef0e282ef3bd732149918a371ed1d4fda5724 | 341 | py | Python | agentq/utils/memory.py | AAorris/agentq | dff689ef7d29730abef319b6455ba089019ed581 | [
"MIT"
] | null | null | null | agentq/utils/memory.py | AAorris/agentq | dff689ef7d29730abef319b6455ba089019ed581 | [
"MIT"
] | null | null | null | agentq/utils/memory.py | AAorris/agentq | dff689ef7d29730abef319b6455ba089019ed581 | [
"MIT"
] | null | null | null | """Basic memory stream with random sampling."""
class MemoryStream(object):
def __init__(self, size):
self.memory = deque([])
def add(self, item):
self.memory.append(item)
if len(self.memory) > size:
memory.popleft()
def sample(self, shape):
return np.random.sample(memory, shape)
| 22.733333 | 47 | 0.607038 | 41 | 341 | 4.95122 | 0.585366 | 0.147783 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.260997 | 341 | 14 | 48 | 24.357143 | 0.805556 | 0.120235 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0.111111 | 0.555556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
36a2c17bc2fcaea528a3d9f3bd08b506e08b2f3f | 11,253 | py | Python | tests/boto3_api_responses.py | parallelstream/kines | d7a879df96babf0deeb54d9607e14c020332f78c | [
"MIT"
] | null | null | null | tests/boto3_api_responses.py | parallelstream/kines | d7a879df96babf0deeb54d9607e14c020332f78c | [
"MIT"
] | null | null | null | tests/boto3_api_responses.py | parallelstream/kines | d7a879df96babf0deeb54d9607e14c020332f78c | [
"MIT"
] | null | null | null | import datetime
from dateutil.tz import tzutc, tzlocal
LIST_SHARDS_8_RESPONSE = {
"Shards": [
{
"ShardId": "shardId-000000000007",
"ParentShardId": "shardId-000000000003",
"HashKeyRange": {
"StartingHashKey": "0",
"EndingHashKey": "42535295865117307932921825928971026431",
},
"SequenceNumberRange": {
"StartingSequenceNumber": "49599683191123462322666423956522487359138715784273985650"
},
},
{
"ShardId": "shardId-000000000008",
"ParentShardId": "shardId-000000000003",
"HashKeyRange": {
"StartingHashKey": "42535295865117307932921825928971026432",
"EndingHashKey": "85070591730234615865843651857942052863",
},
"SequenceNumberRange": {
"StartingSequenceNumber": "49599683191145763067864954579664023077411364145779966082"
},
},
{
"ShardId": "shardId-000000000009",
"ParentShardId": "shardId-000000000004",
"HashKeyRange": {
"StartingHashKey": "85070591730234615865843651857942052864",
"EndingHashKey": "127605887595351923798765477786913079295",
},
"SequenceNumberRange": {
"StartingSequenceNumber": "49599683201872421508358184310742703566555228091740848274"
},
},
{
"ShardId": "shardId-000000000010",
"ParentShardId": "shardId-000000000004",
"HashKeyRange": {
"StartingHashKey": "127605887595351923798765477786913079296",
"EndingHashKey": "170141183460469231731687303715884105727",
},
"SequenceNumberRange": {
"StartingSequenceNumber": "49599683201894722253556714933884239284827876453246828706"
},
},
{
"ShardId": "shardId-000000000011",
"ParentShardId": "shardId-000000000005",
"HashKeyRange": {
"StartingHashKey": "170141183460469231731687303715884105728",
"EndingHashKey": "212676479325586539664609129644855132159",
},
"SequenceNumberRange": {
"StartingSequenceNumber": "49599683204057894537814185378613203957274767931643789490"
},
},
{
"ShardId": "shardId-000000000012",
"ParentShardId": "shardId-000000000005",
"HashKeyRange": {
"StartingHashKey": "212676479325586539664609129644855132160",
"EndingHashKey": "255211775190703847597530955573826158591",
},
"SequenceNumberRange": {
"StartingSequenceNumber": "49599683204080195283012716001754739675547416293149769922"
},
},
{
"ShardId": "shardId-000000000013",
"ParentShardId": "shardId-000000000006",
"HashKeyRange": {
"StartingHashKey": "255211775190703847597530955573826158592",
"EndingHashKey": "297747071055821155530452781502797185023",
},
"SequenceNumberRange": {
"StartingSequenceNumber": "49599683205886555644093696476219132855631933918731567314"
},
},
{
"ShardId": "shardId-000000000014",
"ParentShardId": "shardId-000000000006",
"HashKeyRange": {
"StartingHashKey": "297747071055821155530452781502797185024",
"EndingHashKey": "340282366920938463463374607431768211455",
},
"SequenceNumberRange": {
"StartingSequenceNumber": "49599683205908856389292227099360668573904582280237547746"
},
},
]
}
CLOUDWATCH_RESPONSE_H3_P3 = {
"MetricDataResults": [
{
"Id": "ir",
"Label": "IncomingRecords",
"Timestamps": [
datetime.datetime(2019, 10, 11, 5, 0, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 5, 30, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 6, 0, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 6, 30, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 7, 0, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 7, 30, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 8, 0, tzinfo=tzutc()),
],
"Values": [
297200.0,
265471.0,
255861.0,
250698.0,
241889.0,
305792.0,
189147.0,
],
"StatusCode": "Complete",
},
{
"Id": "ib",
"Label": "IncomingBytes",
"Timestamps": [
datetime.datetime(2019, 10, 11, 5, 0, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 5, 30, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 6, 0, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 6, 30, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 7, 0, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 7, 30, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 8, 0, tzinfo=tzutc()),
],
"Values": [
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830774392.0,
798839755.0,
999749339.0,
623121754.0,
],
"StatusCode": "Complete",
},
{
"Id": "grr",
"Label": "GetRecords.Records",
"Timestamps": [
datetime.datetime(2019, 10, 11, 5, 0, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 5, 30, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 6, 0, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 6, 30, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 7, 0, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 7, 30, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 8, 0, tzinfo=tzutc()),
],
"Values": [
2079782.0,
1858115.0,
1791687.0,
1754570.0,
1693413.0,
2140395.0,
1323267.0,
],
"StatusCode": "Complete",
},
{
"Id": "wpte",
"Label": "WriteProvisionedThroughputExceeded",
"Timestamps": [
datetime.datetime(2019, 10, 11, 5, 0, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 5, 30, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 6, 0, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 6, 30, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 7, 0, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 7, 30, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 8, 0, tzinfo=tzutc()),
],
"Values": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
"StatusCode": "Complete",
},
{
"Id": "rpte",
"Label": "ReadProvisionedThroughputExceeded",
"Timestamps": [
datetime.datetime(2019, 10, 11, 5, 0, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 5, 30, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 6, 0, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 6, 30, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 7, 0, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 7, 30, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 8, 0, tzinfo=tzutc()),
],
"Values": [0.0, 1.0, 0.0, 3.0, 1.0, 3.0, 5.0],
"StatusCode": "Complete",
},
{
"Id": "giam",
"Label": "GetRecords.IteratorAgeMilliseconds",
"Timestamps": [
datetime.datetime(2019, 10, 11, 5, 0, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 5, 30, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 6, 0, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 6, 30, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 7, 0, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 7, 30, tzinfo=tzutc()),
datetime.datetime(2019, 10, 11, 8, 0, tzinfo=tzutc()),
],
"Values": [0.0, 0.0, 0.0, 0.0, 0.0, 36000.0, 0.0],
"StatusCode": "Complete",
},
],
"Messages": [],
}
KINESIS_RECORDS_ITERATOR_1_RESPONSE = {
"Records": [
{
"SequenceNumber": "49600282682944895786267660693075522538255370376250918498",
"ApproximateArrivalTimestamp": datetime.datetime(
2019, 10, 10, 16, 22, 41, 761000, tzinfo=tzlocal()
),
"Data": b"eyJldmVudCI6ICIxIn0K",
"PartitionKey": "4439109",
},
{
"SequenceNumber": "49600282682944895786267660697997059549906526021357667938",
"ApproximateArrivalTimestamp": datetime.datetime(
2019, 10, 10, 16, 22, 45, 180000, tzinfo=tzlocal()
),
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"PartitionKey": "4439109",
},
{
"SequenceNumber": "49600282682944895786267660702176316108314299215755871842",
"ApproximateArrivalTimestamp": datetime.datetime(
2019, 10, 10, 16, 22, 48, 83000, tzinfo=tzlocal()
),
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"PartitionKey": "4439109",
},
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"SequenceNumber": "49600282682944895786267660702634498993948243810408466018",
"ApproximateArrivalTimestamp": datetime.datetime(
2019, 10, 10, 16, 22, 48, 407000, tzinfo=tzlocal()
),
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"PartitionKey": "4439109",
},
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"SequenceNumber": "49600282682944895786267660705672529578639807063884039778",
"ApproximateArrivalTimestamp": datetime.datetime(
2019, 10, 10, 16, 22, 50, 666000, tzinfo=tzlocal()
),
"Data": b"eyJldmVudCI6ICI1In0K",
"PartitionKey": "4439109",
},
],
"NextShardIterator": "AAAA-Shard-Iterator-2",
"MillisBehindLatest": 86346000,
"ResponseMetadata": {
"RequestId": "f66ad0f9-3ade-3f3e-a070-b1f5c9043ac3",
"HTTPStatusCode": 200,
"HTTPHeaders": {
"x-amzn-requestid": "f66ad0f9-3ade-3f3e-a070-b1f5c9043ac3",
"x-amz-id-2": "y6rEwcgmg3F05eSo8bEqr2OMvkyFQwc8vCjClMZRRfU0fEq2vbR1lD2FC7v0rp43b1LY1acrEaQWjnjOXgBq/DkW39Fbznto",
"date": "Fri, 11 Oct 2019 10:51:56 GMT",
"content-type": "application/x-amz-json-1.1",
"content-length": "91441",
},
"RetryAttempts": 0,
},
}
| 40.771739 | 125 | 0.519239 | 797 | 11,253 | 7.318695 | 0.217064 | 0.049374 | 0.161152 | 0.177267 | 0.439911 | 0.352306 | 0.338248 | 0.338248 | 0.309961 | 0.290417 | 0 | 0.327772 | 0.350129 | 11,253 | 275 | 126 | 40.92 | 0.469848 | 0 | 0 | 0.394834 | 0 | 0 | 0.329779 | 0.172043 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.00738 | 0 | 0.00738 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
36a3d5ae6db6459664904cb57891bd2976f9ba9d | 181 | py | Python | setup.py | jameskabbes/ml_pipeline | 48e0cbb4a03a5293e3d0ddc97ec511be636a7760 | [
"MIT"
] | null | null | null | setup.py | jameskabbes/ml_pipeline | 48e0cbb4a03a5293e3d0ddc97ec511be636a7760 | [
"MIT"
] | null | null | null | setup.py | jameskabbes/ml_pipeline | 48e0cbb4a03a5293e3d0ddc97ec511be636a7760 | [
"MIT"
] | null | null | null | from setuptools import setup
if __name__ == '__main__':
setup(
package_data={'ml_pipeline':
[ 'Templates/*.ipynb', 'Templates/*.xlsx' ]
}
) | 22.625 | 55 | 0.541436 | 16 | 181 | 5.5 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.314917 | 181 | 8 | 56 | 22.625 | 0.709677 | 0 | 0 | 0 | 0 | 0 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.142857 | 0 | 0.142857 | 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 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
36b787f8089a07535875a9852a26a17e6b73d187 | 136 | py | Python | 26_dirstructure/main.py | maornesimi/python-course-examples | f2e606f142a9d331075db73fd451c4418dba45ed | [
"MIT"
] | 2 | 2016-07-06T08:47:01.000Z | 2019-12-15T05:09:24.000Z | 26_dirstructure/main.py | maornesimi/python-course-examples | f2e606f142a9d331075db73fd451c4418dba45ed | [
"MIT"
] | 143 | 2016-10-14T07:33:55.000Z | 2018-11-06T19:13:52.000Z | 26_dirstructure/main.py | maornesimi/python-course-examples | f2e606f142a9d331075db73fd451c4418dba45ed | [
"MIT"
] | 43 | 2016-10-13T15:49:47.000Z | 2019-09-10T09:14:52.000Z | """ Main project file
"""
import lib.demo as demo
if __name__ == "__main__":
res = demo.add(10,20)
print "Result = %d" % res
| 13.6 | 29 | 0.595588 | 20 | 136 | 3.65 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.038835 | 0.242647 | 136 | 9 | 30 | 15.111111 | 0.669903 | 0 | 0 | 0 | 0 | 0 | 0.172727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.25 | null | null | 0.25 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
36cd6eeee254cffeff46b866cc779346e40a5772 | 143 | py | Python | coco/admin/apps.py | ipynbsrv/ipynbsrv | 6cd99719c2a9b3814ee37d87a38adcbf30172141 | [
"BSD-3-Clause"
] | null | null | null | coco/admin/apps.py | ipynbsrv/ipynbsrv | 6cd99719c2a9b3814ee37d87a38adcbf30172141 | [
"BSD-3-Clause"
] | null | null | null | coco/admin/apps.py | ipynbsrv/ipynbsrv | 6cd99719c2a9b3814ee37d87a38adcbf30172141 | [
"BSD-3-Clause"
] | null | null | null | from django.apps import AppConfig
class MyAdmin(AppConfig):
"""
:inherit.
"""
name = 'coco.admin'
label = 'coco-admin'
| 11.916667 | 33 | 0.587413 | 15 | 143 | 5.6 | 0.8 | 0.214286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.272727 | 143 | 11 | 34 | 13 | 0.807692 | 0.062937 | 0 | 0 | 0 | 0 | 0.169492 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
36ddc2b7c182b116276dc1debb737c7fee9997d0 | 5,305 | py | Python | etl/parsers/etw/Microsoft_Windows_WiFiHotspotService.py | IMULMUL/etl-parser | 76b7c046866ce0469cd129ee3f7bb3799b34e271 | [
"Apache-2.0"
] | 104 | 2020-03-04T14:31:31.000Z | 2022-03-28T02:59:36.000Z | etl/parsers/etw/Microsoft_Windows_WiFiHotspotService.py | IMULMUL/etl-parser | 76b7c046866ce0469cd129ee3f7bb3799b34e271 | [
"Apache-2.0"
] | 7 | 2020-04-20T09:18:39.000Z | 2022-03-19T17:06:19.000Z | etl/parsers/etw/Microsoft_Windows_WiFiHotspotService.py | IMULMUL/etl-parser | 76b7c046866ce0469cd129ee3f7bb3799b34e271 | [
"Apache-2.0"
] | 16 | 2020-03-05T18:55:59.000Z | 2022-03-01T10:19:28.000Z | # -*- coding: utf-8 -*-
"""
Microsoft-Windows-WiFiHotspotService
GUID : 814182fe-58f7-11e1-853c-78e7d1ca7337
"""
from construct import Int8sl, Int8ul, Int16ul, Int16sl, Int32sl, Int32ul, Int64sl, Int64ul, Bytes, Double, Float32l, Struct
from etl.utils import WString, CString, SystemTime, Guid
from etl.dtyp import Sid
from etl.parsers.etw.core import Etw, declare, guid
@declare(guid=guid("814182fe-58f7-11e1-853c-78e7d1ca7337"), event_id=1003, version=0)
class Microsoft_Windows_WiFiHotspotService_1003_0(Etw):
pattern = Struct(
"uString" / WString,
"Dword" / Int32ul
)
@declare(guid=guid("814182fe-58f7-11e1-853c-78e7d1ca7337"), event_id=1004, version=0)
class Microsoft_Windows_WiFiHotspotService_1004_0(Etw):
pattern = Struct(
"uString" / WString,
"Dword" / Int32ul
)
@declare(guid=guid("814182fe-58f7-11e1-853c-78e7d1ca7337"), event_id=1005, version=0)
class Microsoft_Windows_WiFiHotspotService_1005_0(Etw):
pattern = Struct(
"Ptr1" / Int64ul,
"Ptr2" / Int64ul
)
@declare(guid=guid("814182fe-58f7-11e1-853c-78e7d1ca7337"), event_id=1006, version=0)
class Microsoft_Windows_WiFiHotspotService_1006_0(Etw):
pattern = Struct(
"uString" / WString,
"Dword" / Int32ul
)
@declare(guid=guid("814182fe-58f7-11e1-853c-78e7d1ca7337"), event_id=1007, version=0)
class Microsoft_Windows_WiFiHotspotService_1007_0(Etw):
pattern = Struct(
"uString" / WString,
"Dword" / Int32ul
)
@declare(guid=guid("814182fe-58f7-11e1-853c-78e7d1ca7337"), event_id=1008, version=0)
class Microsoft_Windows_WiFiHotspotService_1008_0(Etw):
pattern = Struct(
"uString" / WString,
"Dword" / Int32ul
)
@declare(guid=guid("814182fe-58f7-11e1-853c-78e7d1ca7337"), event_id=1009, version=0)
class Microsoft_Windows_WiFiHotspotService_1009_0(Etw):
pattern = Struct(
"uString" / WString,
"Dword" / Int32ul
)
@declare(guid=guid("814182fe-58f7-11e1-853c-78e7d1ca7337"), event_id=1010, version=0)
class Microsoft_Windows_WiFiHotspotService_1010_0(Etw):
pattern = Struct(
"uString" / WString,
"Dword" / Int32ul
)
@declare(guid=guid("814182fe-58f7-11e1-853c-78e7d1ca7337"), event_id=1011, version=0)
class Microsoft_Windows_WiFiHotspotService_1011_0(Etw):
pattern = Struct(
"uString" / WString,
"Dword" / Int32ul
)
@declare(guid=guid("814182fe-58f7-11e1-853c-78e7d1ca7337"), event_id=1012, version=0)
class Microsoft_Windows_WiFiHotspotService_1012_0(Etw):
pattern = Struct(
"uString" / WString,
"Dword" / Int32ul
)
@declare(guid=guid("814182fe-58f7-11e1-853c-78e7d1ca7337"), event_id=2000, version=0)
class Microsoft_Windows_WiFiHotspotService_2000_0(Etw):
pattern = Struct(
"uString1" / WString,
"uString2" / WString,
"Dword1" / Int32ul,
"Dword2" / Int32ul,
"Dword3" / Int32ul
)
@declare(guid=guid("814182fe-58f7-11e1-853c-78e7d1ca7337"), event_id=3000, version=0)
class Microsoft_Windows_WiFiHotspotService_3000_0(Etw):
pattern = Struct(
"Dword1" / Int32ul,
"Dword2" / Int32ul
)
@declare(guid=guid("814182fe-58f7-11e1-853c-78e7d1ca7337"), event_id=3001, version=0)
class Microsoft_Windows_WiFiHotspotService_3001_0(Etw):
pattern = Struct(
"Ptr" / Int64ul,
"Dword" / Int32ul
)
@declare(guid=guid("814182fe-58f7-11e1-853c-78e7d1ca7337"), event_id=3002, version=0)
class Microsoft_Windows_WiFiHotspotService_3002_0(Etw):
pattern = Struct(
"Ptr" / Int64ul
)
@declare(guid=guid("814182fe-58f7-11e1-853c-78e7d1ca7337"), event_id=3003, version=0)
class Microsoft_Windows_WiFiHotspotService_3003_0(Etw):
pattern = Struct(
"uString" / WString,
"Dword" / Int32ul
)
@declare(guid=guid("814182fe-58f7-11e1-853c-78e7d1ca7337"), event_id=3004, version=0)
class Microsoft_Windows_WiFiHotspotService_3004_0(Etw):
pattern = Struct(
"uString" / WString,
"Dword" / Int32ul
)
@declare(guid=guid("814182fe-58f7-11e1-853c-78e7d1ca7337"), event_id=4000, version=0)
class Microsoft_Windows_WiFiHotspotService_4000_0(Etw):
pattern = Struct(
"aString" / CString
)
@declare(guid=guid("814182fe-58f7-11e1-853c-78e7d1ca7337"), event_id=4001, version=0)
class Microsoft_Windows_WiFiHotspotService_4001_0(Etw):
pattern = Struct(
"uString" / WString,
"Dword" / Int32ul
)
@declare(guid=guid("814182fe-58f7-11e1-853c-78e7d1ca7337"), event_id=4002, version=0)
class Microsoft_Windows_WiFiHotspotService_4002_0(Etw):
pattern = Struct(
"uString" / WString,
"Dword" / Int32ul
)
@declare(guid=guid("814182fe-58f7-11e1-853c-78e7d1ca7337"), event_id=4003, version=0)
class Microsoft_Windows_WiFiHotspotService_4003_0(Etw):
pattern = Struct(
"Dword1" / Int32ul,
"Dword2" / Int32ul,
"aString1" / CString,
"Dword3" / Int32ul,
"Dword4" / Int32ul,
"Dword5" / Int32ul,
"uString1" / WString
)
@declare(guid=guid("814182fe-58f7-11e1-853c-78e7d1ca7337"), event_id=4004, version=0)
class Microsoft_Windows_WiFiHotspotService_4004_0(Etw):
pattern = Struct(
"uString" / WString,
"Dword" / Int32ul
)
| 28.675676 | 123 | 0.689538 | 607 | 5,305 | 5.853377 | 0.130148 | 0.099071 | 0.210526 | 0.123839 | 0.823248 | 0.823248 | 0.522094 | 0.522094 | 0.487757 | 0.487757 | 0 | 0.186202 | 0.183035 | 5,305 | 184 | 124 | 28.831522 | 0.633595 | 0.019416 | 0 | 0.404412 | 0 | 0 | 0.200655 | 0.145581 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.029412 | 0 | 0.338235 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
36e08c383b2228e78dcdd10016159086d222c565 | 337 | py | Python | 0x08-python-more_classes/test/2-main.py | malu17/alx-higher_level_programming | 75a24d98c51116b737f339697c75855e34254d3a | [
"MIT"
] | 1 | 2022-02-07T12:13:18.000Z | 2022-02-07T12:13:18.000Z | 0x08-python-more_classes/test/2-main.py | malu17/alx-higher_level_programming | 75a24d98c51116b737f339697c75855e34254d3a | [
"MIT"
] | null | null | null | 0x08-python-more_classes/test/2-main.py | malu17/alx-higher_level_programming | 75a24d98c51116b737f339697c75855e34254d3a | [
"MIT"
] | 1 | 2021-12-06T18:15:54.000Z | 2021-12-06T18:15:54.000Z | #!/usr/bin/python3
Rectangle = __import__('2-rectangle').Rectangle
my_rectangle = Rectangle(2, 4)
print("Area: {} - Perimeter: {}".format(my_rectangle.area(), my_rectangle.perimeter()))
print("--")
my_rectangle.width = 10
my_rectangle.height = 3
print("Area: {} - Perimeter: {}".format(my_rectangle.area(), my_rectangle.perimeter()))
| 28.083333 | 87 | 0.709199 | 42 | 337 | 5.428571 | 0.380952 | 0.337719 | 0.157895 | 0.210526 | 0.517544 | 0.517544 | 0.517544 | 0.517544 | 0.517544 | 0.517544 | 0 | 0.022801 | 0.089021 | 337 | 11 | 88 | 30.636364 | 0.71987 | 0.050445 | 0 | 0.285714 | 0 | 0 | 0.191223 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0.428571 | 0 | 0 | 0 | null | 1 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
36f3044484c99cffa133bdd943fd744ee9444ee9 | 871 | py | Python | PersonalSite/PersonalSite/views.py | joeyuan19/flaming-bear | 8cf73a079ed98579f8e1f9e960740c94cd2ad39a | [
"Apache-2.0"
] | null | null | null | PersonalSite/PersonalSite/views.py | joeyuan19/flaming-bear | 8cf73a079ed98579f8e1f9e960740c94cd2ad39a | [
"Apache-2.0"
] | null | null | null | PersonalSite/PersonalSite/views.py | joeyuan19/flaming-bear | 8cf73a079ed98579f8e1f9e960740c94cd2ad39a | [
"Apache-2.0"
] | null | null | null | from django.shortcuts import render
from dajaxice.core import dajaxice_functions
def homepage(request):
return render(request,'index.html')
def test(request):
return render(request,'test2.html')
def presentation(request):
return render(request,'presentation.html')
def homepage_redirect(request):
return render(request,'error.html')
from django.template import RequestContext
from django.shortcuts import render_to_response
from content.models import ResumeCategory
def django_test(request):
categories = [cat for cat in ResumeCategory.objects.all()]
debug = str(len(categories))
canary = "canary"
return render_to_response(
'content/resume_django.html',
{
'debug':debug,
'canary':"Made it!",
'categories':categories,
},
context_instance=RequestContext(request)
)
| 22.333333 | 62 | 0.706085 | 98 | 871 | 6.183673 | 0.418367 | 0.09901 | 0.125413 | 0.171617 | 0.10231 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001425 | 0.19403 | 871 | 38 | 63 | 22.921053 | 0.861823 | 0 | 0 | 0 | 0 | 0 | 0.124281 | 0.029919 | 0 | 0 | 0 | 0 | 0 | 1 | 0.192308 | false | 0 | 0.192308 | 0.153846 | 0.576923 | 0 | 0 | 0 | 0 | null | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
36f6594566ad4b49e1182a8f96d350e8abd533fd | 713 | py | Python | pl_bolts/models/rl/__init__.py | lavoiems/lightning-bolts | 208e92ba3dcdbc029afd37e09ec9461fbcf3f293 | [
"Apache-2.0"
] | 822 | 2020-04-21T03:30:43.000Z | 2021-03-07T06:41:31.000Z | pl_bolts/models/rl/__init__.py | lavoiems/lightning-bolts | 208e92ba3dcdbc029afd37e09ec9461fbcf3f293 | [
"Apache-2.0"
] | 538 | 2020-04-18T01:07:58.000Z | 2021-03-09T13:48:50.000Z | pl_bolts/models/rl/__init__.py | lavoiems/lightning-bolts | 208e92ba3dcdbc029afd37e09ec9461fbcf3f293 | [
"Apache-2.0"
] | 162 | 2020-04-17T15:44:54.000Z | 2021-03-09T14:04:02.000Z | from pl_bolts.models.rl.advantage_actor_critic_model import AdvantageActorCritic
from pl_bolts.models.rl.double_dqn_model import DoubleDQN
from pl_bolts.models.rl.dqn_model import DQN
from pl_bolts.models.rl.dueling_dqn_model import DuelingDQN
from pl_bolts.models.rl.noisy_dqn_model import NoisyDQN
from pl_bolts.models.rl.per_dqn_model import PERDQN
from pl_bolts.models.rl.reinforce_model import Reinforce
from pl_bolts.models.rl.sac_model import SAC
from pl_bolts.models.rl.vanilla_policy_gradient_model import VanillaPolicyGradient
__all__ = [
"AdvantageActorCritic",
"DoubleDQN",
"DQN",
"DuelingDQN",
"NoisyDQN",
"PERDQN",
"Reinforce",
"SAC",
"VanillaPolicyGradient",
]
| 32.409091 | 82 | 0.799439 | 99 | 713 | 5.454545 | 0.272727 | 0.1 | 0.183333 | 0.283333 | 0.316667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.120617 | 713 | 21 | 83 | 33.952381 | 0.861244 | 0 | 0 | 0 | 0 | 0 | 0.124825 | 0.029453 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.45 | 0 | 0.45 | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
7fdfe7c2dd91c71d77f1620c886844f294dbd20f | 95 | py | Python | api/run.py | mdiener/battleship | a8075e156013621fbe7f316f60a21011a0d959a2 | [
"MIT"
] | null | null | null | api/run.py | mdiener/battleship | a8075e156013621fbe7f316f60a21011a0d959a2 | [
"MIT"
] | null | null | null | api/run.py | mdiener/battleship | a8075e156013621fbe7f316f60a21011a0d959a2 | [
"MIT"
] | null | null | null | from websocket import run
def main():
run(8000, False)
if __name__ == '__main__':
main()
| 11.875 | 26 | 0.663158 | 13 | 95 | 4.230769 | 0.769231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.052632 | 0.2 | 95 | 7 | 27 | 13.571429 | 0.671053 | 0 | 0 | 0 | 0 | 0 | 0.084211 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | true | 0 | 0.2 | 0 | 0.4 | 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 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
7ff133f40441bc6decf2c24c77cf40b81c47c648 | 226 | py | Python | Python/FoxAndSnake.py | Zardosh/code-forces-solutions | ea1446b8e4f391f3e9ef63094816c7bdaded1557 | [
"MIT"
] | null | null | null | Python/FoxAndSnake.py | Zardosh/code-forces-solutions | ea1446b8e4f391f3e9ef63094816c7bdaded1557 | [
"MIT"
] | null | null | null | Python/FoxAndSnake.py | Zardosh/code-forces-solutions | ea1446b8e4f391f3e9ef63094816c7bdaded1557 | [
"MIT"
] | null | null | null | n, m = map(int, input().split())
for i in range(n):
if i % 2 == 0:
print('#' * m)
else:
if (i + 1) % 4 == 0:
print('#' + '.' * (m - 1))
else:
print('.' * (m - 1) + '#') | 22.6 | 39 | 0.30531 | 30 | 226 | 2.3 | 0.566667 | 0.26087 | 0.202899 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.055118 | 0.438053 | 226 | 10 | 40 | 22.6 | 0.488189 | 0 | 0 | 0.222222 | 0 | 0 | 0.022026 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.333333 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
3d0b55a34abfbeb991e68a8a56f9ae27b5dfec93 | 89 | py | Python | respa_exchange/__init__.py | HotStew/respa | 04f39efb15b4f4206a122e665f8377c7198e1f25 | [
"MIT"
] | 49 | 2015-10-21T06:25:31.000Z | 2022-03-20T07:24:20.000Z | respa_exchange/__init__.py | HotStew/respa | 04f39efb15b4f4206a122e665f8377c7198e1f25 | [
"MIT"
] | 728 | 2015-06-24T13:26:54.000Z | 2022-03-24T12:18:41.000Z | respa_exchange/__init__.py | digipointtku/respa | a529e0df4d3f072df7801adb5bf97a5f4abd1243 | [
"MIT"
] | 46 | 2015-06-26T10:52:57.000Z | 2021-12-17T09:38:25.000Z | __version__ = "0.1.0"
default_app_config = 'respa_exchange.apps.RespaExchangeAppConfig'
| 22.25 | 65 | 0.808989 | 11 | 89 | 5.909091 | 0.909091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.036585 | 0.078652 | 89 | 3 | 66 | 29.666667 | 0.756098 | 0 | 0 | 0 | 0 | 0 | 0.52809 | 0.47191 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
3d0b9cdaec39fdab7c52e01ba07e1ef8ac3d99c2 | 1,615 | py | Python | pyalgorithms/permutations/simple_recursion.py | tpagit/pyalgorithms | ef62fb5bbe431af93cfe45fd0549aa453aee82d1 | [
"MIT"
] | null | null | null | pyalgorithms/permutations/simple_recursion.py | tpagit/pyalgorithms | ef62fb5bbe431af93cfe45fd0549aa453aee82d1 | [
"MIT"
] | null | null | null | pyalgorithms/permutations/simple_recursion.py | tpagit/pyalgorithms | ef62fb5bbe431af93cfe45fd0549aa453aee82d1 | [
"MIT"
] | null | null | null | #
# abc
# / | \
# / | \
# / | \
# / | \
# / | \
# / | \
# a -> a / a -> b \ a -> c
# / | \
# / | \
# / | \
# / | \
# / | \
# / | \
# [a]bc [b]ac [c]ba
# / \ / \ / \
# / \ / \ / \
# / \ / \ / \
# / \ / \ / \
# [ab]c [ac]b [ba]c [bc]a [cb]a [ca]b
from typing import List
def _simple_recursion_permutation(text: List[str], start: int, end: int):
if start == end:
yield "".join(text)
return
for i in range(start, end + 1):
text[start], text[i] = text[i], text[start]
yield from _simple_recursion_permutation(text, start + 1, end)
text[start], text[i] = text[i], text[start]
def simple_recursion_permutation(text: str) -> str:
yield from _simple_recursion_permutation(list(text), 0, len(text) - 1)
if __name__ == "__main__":
from datetime import datetime
string = "abcdefghij"
start = datetime.now()
for next_value in simple_recursion_permutation(string):
print(next_value)
end = datetime.now()
print((end - start).total_seconds())
| 31.666667 | 74 | 0.337461 | 128 | 1,615 | 4.070313 | 0.351563 | 0.143954 | 0.24952 | 0.172745 | 0.368522 | 0.107486 | 0.107486 | 0.107486 | 0 | 0 | 0 | 0.005362 | 0.538081 | 1,615 | 50 | 75 | 32.3 | 0.693029 | 0.477399 | 0 | 0.105263 | 0 | 0 | 0.022585 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0.105263 | 0 | 0.263158 | 0.105263 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
3d197c2bab8b805629d86050240e697832a2f604 | 5,862 | py | Python | stable_baselines/common/filters.py | BruceK4t1qbit/stable-baselines | d997d659de54bd14129d0af8df07e7c875cba7e5 | [
"MIT"
] | 49 | 2020-07-24T18:17:12.000Z | 2022-01-04T15:30:52.000Z | stable_baselines/common/filters.py | BillChan226/POAR-SRL-4-Robot | a6a8052e105369656d34fffc4f7ca4475dcc38df | [
"MIT"
] | 14 | 2020-07-21T20:21:08.000Z | 2022-03-12T00:42:18.000Z | stable_baselines/common/filters.py | BillChan226/POAR-SRL-4-Robot | a6a8052e105369656d34fffc4f7ca4475dcc38df | [
"MIT"
] | 6 | 2020-01-07T02:23:52.000Z | 2020-10-11T15:42:43.000Z | from collections import deque
import numpy as np
from .running_stat import RunningStat
class Filter(object):
"""
takes a value 'x' (np.ndarray), applies the filter, and returns the new value.
Can pass kwarg: 'update' (bool) if the filter can update from the value
"""
def __call__(self, arr, update=True):
raise NotImplementedError
def reset(self):
"""
resets the filter
"""
pass
def output_shape(self, input_space):
"""
returns the output shape
:param input_space: (numpy int)
:return: (numpy int) output shape
"""
raise NotImplementedError
class IdentityFilter(Filter):
"""
A filter that implements an identity function
takes a value 'x' (np.ndarray), applies the filter, and returns the new value.
Can pass kwarg: 'update' (bool) if the filter can update from the value
"""
def __call__(self, arr, update=True):
return arr
def output_shape(self, input_space):
return input_space.shape
class CompositionFilter(Filter):
def __init__(self, functions):
"""
A filter that implements a composition with other functions
takes a value 'x' (np.ndarray), applies the filter, and returns the new value.
Can pass kwarg: 'update' (bool) if the filter can update from the value
:param functions: ([function]) composition of these functions and the input
"""
self.functions = functions
def __call__(self, arr, update=True):
for func in self.functions:
arr = func(arr)
return arr
def output_shape(self, input_space):
out = input_space.shape
for func in self.functions:
out = func.output_shape(out)
return out
class ZFilter(Filter):
def __init__(self, shape, demean=True, destd=True, clip=10.0):
"""
A filter that implements a z-filter
y = (x-mean)/std
using running estimates of mean,std
takes a value 'x' (np.ndarray), applies the filter, and returns the new value.
Can pass kwarg: 'update' (bool) if the filter can update from the value
:param shape: ([int]) the shape of the input
:param demean: (bool) filter mean
:param destd: (bool) filter standard deviation
:param clip: (float) clip filter absolute value to this value
"""
self.demean = demean
self.destd = destd
self.clip = clip
self.running_stat = RunningStat(shape)
def __call__(self, arr, update=True):
if update:
self.running_stat.push(arr)
if self.demean:
arr = arr - self.running_stat.mean
if self.destd:
arr = arr / (self.running_stat.std + 1e-8)
if self.clip:
arr = np.clip(arr, -self.clip, self.clip)
return arr
def output_shape(self, input_space):
return input_space.shape
class AddClock(Filter):
def __init__(self):
"""
A filter that appends a counter to the input
takes a value 'x' (np.ndarray), applies the filter, and returns the new value.
Can pass kwarg: 'update' (bool) if the filter can update from the value
"""
self.count = 0
def reset(self):
self.count = 0
def __call__(self, arr, update=True):
return np.append(arr, self.count / 100.0)
def output_shape(self, input_space):
return input_space.shape[0] + 1,
class FlattenFilter(Filter):
"""
A filter that flattens the input
takes a value 'x' (np.ndarray), applies the filter, and returns the new value.
Can pass kwarg: 'update' (bool) if the filter can update from the value
"""
def __call__(self, arr, update=True):
return arr.ravel()
def output_shape(self, input_space):
return int(np.prod(input_space.shape)),
class Ind2OneHotFilter(Filter):
def __init__(self, n_cat):
"""
A filter that turns indices to onehot encoding
takes a value 'x' (np.ndarray), applies the filter, and returns the new value.
Can pass kwarg: 'update' (bool) if the filter can update from the value
:param n_cat: (int) the number of categories
"""
self.n_cat = n_cat
def __call__(self, arr, update=True):
out = np.zeros(self.n_cat)
out[arr] = 1
return out
def output_shape(self, input_space):
return input_space.n,
class DivFilter(Filter):
def __init__(self, divisor):
"""
A filter that divides the input from a value
takes a value 'x' (np.ndarray), applies the filter, and returns the new value.
Can pass kwarg: 'update' (bool) if the filter can update from the value
:param divisor: (float) the number you want to divide by
"""
self.divisor = divisor
def __call__(self, arr, update=True):
return arr / self.divisor
def output_shape(self, input_space):
return input_space.shape
class StackFilter(Filter):
def __init__(self, length):
"""
A filter that runs a stacking of a 'length' inputs
takes a value 'x' (np.ndarray), applies the filter, and returns the new value.
Can pass kwarg: 'update' (bool) if the filter can update from the value
:param length: (int) the number of inputs to stack
"""
self.stack = deque(maxlen=length)
def reset(self):
self.stack.clear()
def __call__(self, arr, update=True):
self.stack.append(arr)
while len(self.stack) < self.stack.maxlen:
self.stack.append(arr)
return np.concatenate(self.stack, axis=-1)
def output_shape(self, input_space):
return input_space.shape[:-1] + (input_space.shape[-1] * self.stack.maxlen,)
| 27.650943 | 86 | 0.620096 | 790 | 5,862 | 4.475949 | 0.156962 | 0.04836 | 0.027998 | 0.030543 | 0.520362 | 0.483597 | 0.448529 | 0.43043 | 0.410633 | 0.39819 | 0 | 0.004309 | 0.287445 | 5,862 | 211 | 87 | 27.781991 | 0.842231 | 0.396281 | 0 | 0.425287 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.310345 | false | 0.011494 | 0.034483 | 0.126437 | 0.632184 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
3d19a10a5b191e21762896516127a9429aeb0871 | 816 | py | Python | deeptensor/model/cifar/cifar.py | cicicici/deeptensor | efcd7b9ca2d758cb2461b64fa5ba1268685e4dab | [
"MIT"
] | 1 | 2018-04-04T09:00:45.000Z | 2018-04-04T09:00:45.000Z | deeptensor/model/cifar/cifar.py | cicicici/deeptensor | efcd7b9ca2d758cb2461b64fa5ba1268685e4dab | [
"MIT"
] | null | null | null | deeptensor/model/cifar/cifar.py | cicicici/deeptensor | efcd7b9ca2d758cb2461b64fa5ba1268685e4dab | [
"MIT"
] | null | null | null | from .lenet import LeNet
from .vgg import VGG
from .dpn import DPN, DPN26, DPN92
from .densenet import DenseNet, DenseNet121, DenseNet169, DenseNet201, DenseNet161
from .googlenet import Inception, GoogLeNet
from .mobilenet import MobileNet
from .mobilenetv2 import MobileNetV2
from .resnet import ResNet, ResNet18, ResNet34, ResNet50, ResNet101, ResNet152
from .resnext import ResNeXt, ResNeXt29_2x64d, ResNeXt29_4x64d, ResNeXt29_8x64d, ResNeXt29_32x4d
from .preact_resnet import PreActResNet, PreActResNet18, PreActResNet34, PreActResNet50, PreActResNet101, PreActResNet152
from .senet import SENet, SENet18
from .shufflenet import ShuffleNet, ShuffleNetG2, ShuffleNetG3
from .shufflenetv2 import ShuffleNetV2
from .efficientnet import EfficientNet, EfficientNetB0
from .pnasnet import PNASNet, PNASNetA, PNASNetB
| 51 | 121 | 0.841912 | 92 | 816 | 7.413043 | 0.5 | 0.035191 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.09465 | 0.106618 | 816 | 15 | 122 | 54.4 | 0.840878 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
3d398daaf478bf2a1d0435cc6799d92e01893439 | 358 | py | Python | metaci/plan/migrations/0004_remove_plan_devhub.py | sfdc-qbranch/MetaCI | 78ac0d2bccd2db381998321ebd71029dd5d9ab39 | [
"BSD-3-Clause"
] | 48 | 2018-10-24T14:52:06.000Z | 2022-03-25T21:14:50.000Z | metaci/plan/migrations/0004_remove_plan_devhub.py | sfdc-qbranch/MetaCI | 78ac0d2bccd2db381998321ebd71029dd5d9ab39 | [
"BSD-3-Clause"
] | 2,034 | 2018-10-31T20:59:16.000Z | 2022-03-22T21:38:03.000Z | metaci/plan/migrations/0004_remove_plan_devhub.py | sfdc-qbranch/MetaCI | 78ac0d2bccd2db381998321ebd71029dd5d9ab39 | [
"BSD-3-Clause"
] | 27 | 2018-12-24T18:16:23.000Z | 2021-12-15T17:57:27.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.10.3 on 2017-05-18 18:39
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
# skip non-exixtent 0003_planschedule
dependencies = [("plan", "0002_plan_devhub")]
operations = [migrations.RemoveField(model_name="plan", name="devhub")]
| 25.571429 | 75 | 0.72905 | 47 | 358 | 5.361702 | 0.765957 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.081699 | 0.145251 | 358 | 13 | 76 | 27.538462 | 0.74183 | 0.290503 | 0 | 0 | 1 | 0 | 0.12 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.4 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
3d3fbb20a22c4b3af53283c42432e5fe77b2875f | 130 | py | Python | HelloPySelenium/pytest1.py | lintyleo/seleniumpro | feb643143b6b19a0f1d99151c74504edf736d110 | [
"MIT"
] | 10 | 2017-04-05T19:57:51.000Z | 2020-12-04T06:36:46.000Z | HelloPySelenium/pytest1.py | lintyleo/seleniumpro | feb643143b6b19a0f1d99151c74504edf736d110 | [
"MIT"
] | null | null | null | HelloPySelenium/pytest1.py | lintyleo/seleniumpro | feb643143b6b19a0f1d99151c74504edf736d110 | [
"MIT"
] | 6 | 2017-11-01T00:54:50.000Z | 2019-12-18T05:26:47.000Z | # webdriver: webdriver里面有个类 叫做Firefox
from selenium import webdriver
xx = webdriver.Firefox()
xx.get("http://www.51testing.com")
| 21.666667 | 37 | 0.776923 | 16 | 130 | 6.3125 | 0.8125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017094 | 0.1 | 130 | 5 | 38 | 26 | 0.846154 | 0.269231 | 0 | 0 | 0 | 0 | 0.258065 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
3d4dc2746907fa24b9f8d89a81d0e4c48e0bf480 | 69,350 | py | Python | src/hedera_proto/response_code_pb2.py | HbarStudio/hedera-protobufs-python | f8a503d2c4c5b7c441ddf48607f7ee563b3f931a | [
"Apache-2.0"
] | null | null | null | src/hedera_proto/response_code_pb2.py | HbarStudio/hedera-protobufs-python | f8a503d2c4c5b7c441ddf48607f7ee563b3f931a | [
"Apache-2.0"
] | null | null | null | src/hedera_proto/response_code_pb2.py | HbarStudio/hedera-protobufs-python | f8a503d2c4c5b7c441ddf48607f7ee563b3f931a | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: response_code.proto
"""Generated protocol buffer code."""
from google.protobuf.internal import enum_type_wrapper
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name='response_code.proto',
package='proto',
syntax='proto3',
serialized_options=b'\n\"com.hederahashgraph.api.proto.javaP\001',
create_key=_descriptor._internal_create_key,
serialized_pb=b'\n\x13response_code.proto\x12\x05proto*\xed<\n\x10ResponseCodeEnum\x12\x06\n\x02OK\x10\x00\x12\x17\n\x13INVALID_TRANSACTION\x10\x01\x12\x1b\n\x17PAYER_ACCOUNT_NOT_FOUND\x10\x02\x12\x18\n\x14INVALID_NODE_ACCOUNT\x10\x03\x12\x17\n\x13TRANSACTION_EXPIRED\x10\x04\x12\x1d\n\x19INVALID_TRANSACTION_START\x10\x05\x12 \n\x1cINVALID_TRANSACTION_DURATION\x10\x06\x12\x15\n\x11INVALID_SIGNATURE\x10\x07\x12\x11\n\rMEMO_TOO_LONG\x10\x08\x12\x17\n\x13INSUFFICIENT_TX_FEE\x10\t\x12\x1e\n\x1aINSUFFICIENT_PAYER_BALANCE\x10\n\x12\x19\n\x15\x44UPLICATE_TRANSACTION\x10\x0b\x12\x08\n\x04\x42USY\x10\x0c\x12\x11\n\rNOT_SUPPORTED\x10\r\x12\x13\n\x0fINVALID_FILE_ID\x10\x0e\x12\x16\n\x12INVALID_ACCOUNT_ID\x10\x0f\x12\x17\n\x13INVALID_CONTRACT_ID\x10\x10\x12\x1a\n\x16INVALID_TRANSACTION_ID\x10\x11\x12\x15\n\x11RECEIPT_NOT_FOUND\x10\x12\x12\x14\n\x10RECORD_NOT_FOUND\x10\x13\x12\x17\n\x13INVALID_SOLIDITY_ID\x10\x14\x12\x0b\n\x07UNKNOWN\x10\x15\x12\x0b\n\x07SUCCESS\x10\x16\x12\x10\n\x0c\x46\x41IL_INVALID\x10\x17\x12\x0c\n\x08\x46\x41IL_FEE\x10\x18\x12\x10\n\x0c\x46\x41IL_BALANCE\x10\x19\x12\x10\n\x0cKEY_REQUIRED\x10\x1a\x12\x10\n\x0c\x42\x41\x44_ENCODING\x10\x1b\x12 \n\x1cINSUFFICIENT_ACCOUNT_BALANCE\x10\x1c\x12\x1c\n\x18INVALID_SOLIDITY_ADDRESS\x10\x1d\x12\x14\n\x10INSUFFICIENT_GAS\x10\x1e\x12 \n\x1c\x43ONTRACT_SIZE_LIMIT_EXCEEDED\x10\x1f\x12%\n!LOCAL_CALL_MODIFICATION_EXCEPTION\x10 \x12\x1c\n\x18\x43ONTRACT_REVERT_EXECUTED\x10!\x12 \n\x1c\x43ONTRACT_EXECUTION_EXCEPTION\x10\"\x12\"\n\x1eINVALID_RECEIVING_NODE_ACCOUNT\x10#\x12\x18\n\x14MISSING_QUERY_HEADER\x10$\x12\x19\n\x15\x41\x43\x43OUNT_UPDATE_FAILED\x10%\x12\x18\n\x14INVALID_KEY_ENCODING\x10&\x12\x19\n\x15NULL_SOLIDITY_ADDRESS\x10\'\x12\x1a\n\x16\x43ONTRACT_UPDATE_FAILED\x10(\x12\x18\n\x14INVALID_QUERY_HEADER\x10)\x12\x19\n\x15INVALID_FEE_SUBMITTED\x10*\x12\x1b\n\x17INVALID_PAYER_SIGNATURE\x10+\x12\x14\n\x10KEY_NOT_PROVIDED\x10,\x12\x1b\n\x17INVALID_EXPIRATION_TIME\x10-\x12\x0f\n\x0bNO_WACL_KEY\x10.\x12\x16\n\x12\x46ILE_CONTENT_EMPTY\x10/\x12\x1b\n\x17INVALID_ACCOUNT_AMOUNTS\x10\x30\x12\x1a\n\x16\x45MPTY_TRANSACTION_BODY\x10\x31\x12\x1c\n\x18INVALID_TRANSACTION_BODY\x10\x32\x12*\n&INVALID_SIGNATURE_TYPE_MISMATCHING_KEY\x10\x33\x12+\n\'INVALID_SIGNATURE_COUNT_MISMATCHING_KEY\x10\x34\x12\x18\n\x14\x45MPTY_LIVE_HASH_BODY\x10\x35\x12\x13\n\x0f\x45MPTY_LIVE_HASH\x10\x36\x12\x18\n\x14\x45MPTY_LIVE_HASH_KEYS\x10\x37\x12\x1a\n\x16INVALID_LIVE_HASH_SIZE\x10\x38\x12\x14\n\x10\x45MPTY_QUERY_BODY\x10\x39\x12\x19\n\x15\x45MPTY_LIVE_HASH_QUERY\x10:\x12\x17\n\x13LIVE_HASH_NOT_FOUND\x10;\x12\x1d\n\x19\x41\x43\x43OUNT_ID_DOES_NOT_EXIST\x10<\x12\x1c\n\x18LIVE_HASH_ALREADY_EXISTS\x10=\x12\x15\n\x11INVALID_FILE_WACL\x10>\x12\x18\n\x14SERIALIZATION_FAILED\x10?\x12\x18\n\x14TRANSACTION_OVERSIZE\x10@\x12\x1f\n\x1bTRANSACTION_TOO_MANY_LAYERS\x10\x41\x12\x14\n\x10\x43ONTRACT_DELETED\x10\x42\x12\x17\n\x13PLATFORM_NOT_ACTIVE\x10\x43\x12\x17\n\x13KEY_PREFIX_MISMATCH\x10\x44\x12$\n PLATFORM_TRANSACTION_NOT_CREATED\x10\x45\x12\x1a\n\x16INVALID_RENEWAL_PERIOD\x10\x46\x12\x1c\n\x18INVALID_PAYER_ACCOUNT_ID\x10G\x12\x13\n\x0f\x41\x43\x43OUNT_DELETED\x10H\x12\x10\n\x0c\x46ILE_DELETED\x10I\x12\'\n#ACCOUNT_REPEATED_IN_ACCOUNT_AMOUNTS\x10J\x12$\n SETTING_NEGATIVE_ACCOUNT_BALANCE\x10K\x12\x15\n\x11OBTAINER_REQUIRED\x10L\x12\x1d\n\x19OBTAINER_SAME_CONTRACT_ID\x10M\x12\x1b\n\x17OBTAINER_DOES_NOT_EXIST\x10N\x12 \n\x1cMODIFYING_IMMUTABLE_CONTRACT\x10O\x12\x19\n\x15\x46ILE_SYSTEM_EXCEPTION\x10P\x12#\n\x1f\x41UTORENEW_DURATION_NOT_IN_RANGE\x10Q\x12\x1d\n\x19\x45RROR_DECODING_BYTESTRING\x10R\x12\x17\n\x13\x43ONTRACT_FILE_EMPTY\x10S\x12\x1b\n\x17\x43ONTRACT_BYTECODE_EMPTY\x10T\x12\x1b\n\x17INVALID_INITIAL_BALANCE\x10U\x12(\n INVALID_RECEIVE_RECORD_THRESHOLD\x10V\x1a\x02\x08\x01\x12%\n\x1dINVALID_SEND_RECORD_THRESHOLD\x10W\x1a\x02\x08\x01\x12\"\n\x1e\x41\x43\x43OUNT_IS_NOT_GENESIS_ACCOUNT\x10X\x12\x1e\n\x1aPAYER_ACCOUNT_UNAUTHORIZED\x10Y\x12#\n\x1fINVALID_FREEZE_TRANSACTION_BODY\x10Z\x12%\n!FREEZE_TRANSACTION_BODY_NOT_FOUND\x10[\x12%\n!TRANSFER_LIST_SIZE_LIMIT_EXCEEDED\x10\\\x12\x1e\n\x1aRESULT_SIZE_LIMIT_EXCEEDED\x10]\x12\x17\n\x13NOT_SPECIAL_ACCOUNT\x10^\x12\x19\n\x15\x43ONTRACT_NEGATIVE_GAS\x10_\x12\x1b\n\x17\x43ONTRACT_NEGATIVE_VALUE\x10`\x12\x14\n\x10INVALID_FEE_FILE\x10\x61\x12\x1e\n\x1aINVALID_EXCHANGE_RATE_FILE\x10\x62\x12\x1f\n\x1bINSUFFICIENT_LOCAL_CALL_GAS\x10\x63\x12 \n\x1c\x45NTITY_NOT_ALLOWED_TO_DELETE\x10\x64\x12\x18\n\x14\x41UTHORIZATION_FAILED\x10\x65\x12\x1f\n\x1b\x46ILE_UPLOADED_PROTO_INVALID\x10\x66\x12)\n%FILE_UPLOADED_PROTO_NOT_SAVED_TO_DISK\x10g\x12#\n\x1f\x46\x45\x45_SCHEDULE_FILE_PART_UPLOADED\x10h\x12\'\n#EXCHANGE_RATE_CHANGE_LIMIT_EXCEEDED\x10i\x12!\n\x1dMAX_CONTRACT_STORAGE_EXCEEDED\x10j\x12+\n\'TRANSFER_ACCOUNT_SAME_AS_DELETE_ACCOUNT\x10k\x12 \n\x1cTOTAL_LEDGER_BALANCE_INVALID\x10l\x12$\n EXPIRATION_REDUCTION_NOT_ALLOWED\x10n\x12\x1a\n\x16MAX_GAS_LIMIT_EXCEEDED\x10o\x12\x1a\n\x16MAX_FILE_SIZE_EXCEEDED\x10p\x12\x19\n\x15RECEIVER_SIG_REQUIRED\x10q\x12\x15\n\x10INVALID_TOPIC_ID\x10\x96\x01\x12\x16\n\x11INVALID_ADMIN_KEY\x10\x9b\x01\x12\x17\n\x12INVALID_SUBMIT_KEY\x10\x9c\x01\x12\x11\n\x0cUNAUTHORIZED\x10\x9d\x01\x12\x1a\n\x15INVALID_TOPIC_MESSAGE\x10\x9e\x01\x12\x1e\n\x19INVALID_AUTORENEW_ACCOUNT\x10\x9f\x01\x12\"\n\x1d\x41UTORENEW_ACCOUNT_NOT_ALLOWED\x10\xa0\x01\x12\x12\n\rTOPIC_EXPIRED\x10\xa2\x01\x12\x19\n\x14INVALID_CHUNK_NUMBER\x10\xa3\x01\x12!\n\x1cINVALID_CHUNK_TRANSACTION_ID\x10\xa4\x01\x12\x1d\n\x18\x41\x43\x43OUNT_FROZEN_FOR_TOKEN\x10\xa5\x01\x12&\n!TOKENS_PER_ACCOUNT_LIMIT_EXCEEDED\x10\xa6\x01\x12\x15\n\x10INVALID_TOKEN_ID\x10\xa7\x01\x12\x1b\n\x16INVALID_TOKEN_DECIMALS\x10\xa8\x01\x12!\n\x1cINVALID_TOKEN_INITIAL_SUPPLY\x10\xa9\x01\x12\'\n\"INVALID_TREASURY_ACCOUNT_FOR_TOKEN\x10\xaa\x01\x12\x19\n\x14INVALID_TOKEN_SYMBOL\x10\xab\x01\x12\x1c\n\x17TOKEN_HAS_NO_FREEZE_KEY\x10\xac\x01\x12%\n TRANSFERS_NOT_ZERO_SUM_FOR_TOKEN\x10\xad\x01\x12\x19\n\x14MISSING_TOKEN_SYMBOL\x10\xae\x01\x12\x1a\n\x15TOKEN_SYMBOL_TOO_LONG\x10\xaf\x01\x12&\n!ACCOUNT_KYC_NOT_GRANTED_FOR_TOKEN\x10\xb0\x01\x12\x19\n\x14TOKEN_HAS_NO_KYC_KEY\x10\xb1\x01\x12\x1f\n\x1aINSUFFICIENT_TOKEN_BALANCE\x10\xb2\x01\x12\x16\n\x11TOKEN_WAS_DELETED\x10\xb3\x01\x12\x1c\n\x17TOKEN_HAS_NO_SUPPLY_KEY\x10\xb4\x01\x12\x1a\n\x15TOKEN_HAS_NO_WIPE_KEY\x10\xb5\x01\x12\x1e\n\x19INVALID_TOKEN_MINT_AMOUNT\x10\xb6\x01\x12\x1e\n\x19INVALID_TOKEN_BURN_AMOUNT\x10\xb7\x01\x12$\n\x1fTOKEN_NOT_ASSOCIATED_TO_ACCOUNT\x10\xb8\x01\x12\'\n\"CANNOT_WIPE_TOKEN_TREASURY_ACCOUNT\x10\xb9\x01\x12\x14\n\x0fINVALID_KYC_KEY\x10\xba\x01\x12\x15\n\x10INVALID_WIPE_KEY\x10\xbb\x01\x12\x17\n\x12INVALID_FREEZE_KEY\x10\xbc\x01\x12\x17\n\x12INVALID_SUPPLY_KEY\x10\xbd\x01\x12\x17\n\x12MISSING_TOKEN_NAME\x10\xbe\x01\x12\x18\n\x13TOKEN_NAME_TOO_LONG\x10\xbf\x01\x12\x1a\n\x15INVALID_WIPING_AMOUNT\x10\xc0\x01\x12\x17\n\x12TOKEN_IS_IMMUTABLE\x10\xc1\x01\x12(\n#TOKEN_ALREADY_ASSOCIATED_TO_ACCOUNT\x10\xc2\x01\x12-\n(TRANSACTION_REQUIRES_ZERO_TOKEN_BALANCES\x10\xc3\x01\x12\x18\n\x13\x41\x43\x43OUNT_IS_TREASURY\x10\xc4\x01\x12$\n\x1fTOKEN_ID_REPEATED_IN_TOKEN_LIST\x10\xc5\x01\x12,\n\'TOKEN_TRANSFER_LIST_SIZE_LIMIT_EXCEEDED\x10\xc6\x01\x12\x1e\n\x19\x45MPTY_TOKEN_TRANSFER_BODY\x10\xc7\x01\x12)\n$EMPTY_TOKEN_TRANSFER_ACCOUNT_AMOUNTS\x10\xc8\x01\x12\x18\n\x13INVALID_SCHEDULE_ID\x10\xc9\x01\x12\x1a\n\x15SCHEDULE_IS_IMMUTABLE\x10\xca\x01\x12\x1e\n\x19INVALID_SCHEDULE_PAYER_ID\x10\xcb\x01\x12 \n\x1bINVALID_SCHEDULE_ACCOUNT_ID\x10\xcc\x01\x12\x1c\n\x17NO_NEW_VALID_SIGNATURES\x10\xcd\x01\x12\"\n\x1dUNRESOLVABLE_REQUIRED_SIGNERS\x10\xce\x01\x12+\n&SCHEDULED_TRANSACTION_NOT_IN_WHITELIST\x10\xcf\x01\x12!\n\x1cSOME_SIGNATURES_WERE_INVALID\x10\xd0\x01\x12%\n TRANSACTION_ID_FIELD_NOT_ALLOWED\x10\xd1\x01\x12\'\n\"IDENTICAL_SCHEDULE_ALREADY_CREATED\x10\xd2\x01\x12 \n\x1bINVALID_ZERO_BYTE_IN_STRING\x10\xd3\x01\x12\x1d\n\x18SCHEDULE_ALREADY_DELETED\x10\xd4\x01\x12\x1e\n\x19SCHEDULE_ALREADY_EXECUTED\x10\xd5\x01\x12\x1b\n\x16MESSAGE_SIZE_TOO_LARGE\x10\xd6\x01\x12(\n#OPERATION_REPEATED_IN_BUCKET_GROUPS\x10\xd7\x01\x12\x1d\n\x18\x42UCKET_CAPACITY_OVERFLOW\x10\xd8\x01\x12/\n*NODE_CAPACITY_NOT_SUFFICIENT_FOR_OPERATION\x10\xd9\x01\x12\"\n\x1d\x42UCKET_HAS_NO_THROTTLE_GROUPS\x10\xda\x01\x12(\n#THROTTLE_GROUP_HAS_ZERO_OPS_PER_SEC\x10\xdb\x01\x12+\n&SUCCESS_BUT_MISSING_EXPECTED_OPERATION\x10\xdc\x01\x12%\n UNPARSEABLE_THROTTLE_DEFINITIONS\x10\xdd\x01\x12!\n\x1cINVALID_THROTTLE_DEFINITIONS\x10\xde\x01\x12(\n#ACCOUNT_EXPIRED_AND_PENDING_REMOVAL\x10\xdf\x01\x12\x1d\n\x18INVALID_TOKEN_MAX_SUPPLY\x10\xe0\x01\x12$\n\x1fINVALID_TOKEN_NFT_SERIAL_NUMBER\x10\xe1\x01\x12\x13\n\x0eINVALID_NFT_ID\x10\xe2\x01\x12\x16\n\x11METADATA_TOO_LONG\x10\xe3\x01\x12\x1e\n\x19\x42\x41TCH_SIZE_LIMIT_EXCEEDED\x10\xe4\x01\x12\x18\n\x13INVALID_QUERY_RANGE\x10\xe5\x01\x12\x1d\n\x18\x46RACTION_DIVIDES_BY_ZERO\x10\xe6\x01\x12\x32\n)INSUFFICIENT_PAYER_BALANCE_FOR_CUSTOM_FEE\x10\xe7\x01\x1a\x02\x08\x01\x12\x1e\n\x19\x43USTOM_FEES_LIST_TOO_LONG\x10\xe8\x01\x12!\n\x1cINVALID_CUSTOM_FEE_COLLECTOR\x10\xe9\x01\x12$\n\x1fINVALID_TOKEN_ID_IN_CUSTOM_FEES\x10\xea\x01\x12*\n%TOKEN_NOT_ASSOCIATED_TO_FEE_COLLECTOR\x10\xeb\x01\x12\x1d\n\x18TOKEN_MAX_SUPPLY_REACHED\x10\xec\x01\x12&\n!SENDER_DOES_NOT_OWN_NFT_SERIAL_NO\x10\xed\x01\x12#\n\x1e\x43USTOM_FEE_NOT_FULLY_SPECIFIED\x10\xee\x01\x12 \n\x1b\x43USTOM_FEE_MUST_BE_POSITIVE\x10\xef\x01\x12\"\n\x1dTOKEN_HAS_NO_FEE_SCHEDULE_KEY\x10\xf0\x01\x12%\n CUSTOM_FEE_OUTSIDE_NUMERIC_RANGE\x10\xf1\x01\x12\'\n\"ROYALTY_FRACTION_CANNOT_EXCEED_ONE\x10\xf2\x01\x12\x33\n.FRACTIONAL_FEE_MAX_AMOUNT_LESS_THAN_MIN_AMOUNT\x10\xf3\x01\x12(\n#CUSTOM_SCHEDULE_ALREADY_HAS_NO_FEES\x10\xf4\x01\x12\x34\n/CUSTOM_FEE_DENOMINATION_MUST_BE_FUNGIBLE_COMMON\x10\xf5\x01\x12;\n6CUSTOM_FRACTIONAL_FEE_ONLY_ALLOWED_FOR_FUNGIBLE_COMMON\x10\xf6\x01\x12$\n\x1fINVALID_CUSTOM_FEE_SCHEDULE_KEY\x10\xf7\x01\x12 \n\x1bINVALID_TOKEN_MINT_METADATA\x10\xf8\x01\x12 \n\x1bINVALID_TOKEN_BURN_METADATA\x10\xf9\x01\x12%\n CURRENT_TREASURY_STILL_OWNS_NFTS\x10\xfa\x01\x12\x1c\n\x17\x41\x43\x43OUNT_STILL_OWNS_NFTS\x10\xfb\x01\x12!\n\x1cTREASURY_MUST_OWN_BURNED_NFT\x10\xfc\x01\x12#\n\x1e\x41\x43\x43OUNT_DOES_NOT_OWN_WIPED_NFT\x10\xfd\x01\x12>\n9ACCOUNT_AMOUNT_TRANSFERS_ONLY_ALLOWED_FOR_FUNGIBLE_COMMON\x10\xfe\x01\x12.\n)MAX_NFTS_IN_PRICE_REGIME_HAVE_BEEN_MINTED\x10\xff\x01\x12\x1a\n\x15PAYER_ACCOUNT_DELETED\x10\x80\x02\x12\x35\n0CUSTOM_FEE_CHARGING_EXCEEDED_MAX_RECURSION_DEPTH\x10\x81\x02\x12\x35\n0CUSTOM_FEE_CHARGING_EXCEEDED_MAX_ACCOUNT_AMOUNTS\x10\x82\x02\x12\x37\n2INSUFFICIENT_SENDER_ACCOUNT_BALANCE_FOR_CUSTOM_FEE\x10\x83\x02\x12 \n\x1bSERIAL_NUMBER_LIMIT_REACHED\x10\x84\x02\x12<\n7CUSTOM_ROYALTY_FEE_ONLY_ALLOWED_FOR_NON_FUNGIBLE_UNIQUE\x10\x85\x02\x12(\n#NO_REMAINING_AUTOMATIC_ASSOCIATIONS\x10\x86\x02\x12\x37\n2EXISTING_AUTOMATIC_ASSOCIATIONS_EXCEED_GIVEN_LIMIT\x10\x87\x02\x12\x43\n>REQUESTED_NUM_AUTOMATIC_ASSOCIATIONS_EXCEEDS_ASSOCIATION_LIMIT\x10\x88\x02\x12\x14\n\x0fTOKEN_IS_PAUSED\x10\x89\x02\x12\x1b\n\x16TOKEN_HAS_NO_PAUSE_KEY\x10\x8a\x02\x12\x16\n\x11INVALID_PAUSE_KEY\x10\x8b\x02\x12&\n!FREEZE_UPDATE_FILE_DOES_NOT_EXIST\x10\x8c\x02\x12+\n&FREEZE_UPDATE_FILE_HASH_DOES_NOT_MATCH\x10\x8d\x02\x12!\n\x1cNO_UPGRADE_HAS_BEEN_PREPARED\x10\x8e\x02\x12\x1b\n\x16NO_FREEZE_IS_SCHEDULED\x10\x8f\x02\x12\x33\n.UPDATE_FILE_HASH_CHANGED_SINCE_PREPARE_UPGRADE\x10\x90\x02\x12%\n FREEZE_START_TIME_MUST_BE_FUTURE\x10\x91\x02\x12&\n!PREPARED_UPDATE_FILE_IS_IMMUTABLE\x10\x92\x02\x12\x1d\n\x18\x46REEZE_ALREADY_SCHEDULED\x10\x93\x02\x12\x1f\n\x1a\x46REEZE_UPGRADE_IN_PROGRESS\x10\x94\x02\x12+\n&UPDATE_FILE_ID_DOES_NOT_MATCH_PREPARED\x10\x95\x02\x12-\n(UPDATE_FILE_HASH_DOES_NOT_MATCH_PREPARED\x10\x96\x02\x12\x1c\n\x17\x43ONSENSUS_GAS_EXHAUSTED\x10\x97\x02\x12\x15\n\x10REVERTED_SUCCESS\x10\x98\x02\x12.\n)MAX_STORAGE_IN_PRICE_REGIME_HAS_BEEN_USED\x10\x99\x02\x12\x16\n\x11INVALID_ALIAS_KEY\x10\x9a\x02\x42&\n\"com.hederahashgraph.api.proto.javaP\x01\x62\x06proto3'
)
_RESPONSECODEENUM = _descriptor.EnumDescriptor(
name='ResponseCodeEnum',
full_name='proto.ResponseCodeEnum',
filename=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
values=[
_descriptor.EnumValueDescriptor(
name='OK', index=0, number=0,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_TRANSACTION', index=1, number=1,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='PAYER_ACCOUNT_NOT_FOUND', index=2, number=2,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_NODE_ACCOUNT', index=3, number=3,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TRANSACTION_EXPIRED', index=4, number=4,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_TRANSACTION_START', index=5, number=5,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_TRANSACTION_DURATION', index=6, number=6,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_SIGNATURE', index=7, number=7,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='MEMO_TOO_LONG', index=8, number=8,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INSUFFICIENT_TX_FEE', index=9, number=9,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INSUFFICIENT_PAYER_BALANCE', index=10, number=10,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='DUPLICATE_TRANSACTION', index=11, number=11,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='BUSY', index=12, number=12,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='NOT_SUPPORTED', index=13, number=13,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_FILE_ID', index=14, number=14,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_ACCOUNT_ID', index=15, number=15,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_CONTRACT_ID', index=16, number=16,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_TRANSACTION_ID', index=17, number=17,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='RECEIPT_NOT_FOUND', index=18, number=18,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='RECORD_NOT_FOUND', index=19, number=19,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_SOLIDITY_ID', index=20, number=20,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='UNKNOWN', index=21, number=21,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='SUCCESS', index=22, number=22,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='FAIL_INVALID', index=23, number=23,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='FAIL_FEE', index=24, number=24,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='FAIL_BALANCE', index=25, number=25,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='KEY_REQUIRED', index=26, number=26,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='BAD_ENCODING', index=27, number=27,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INSUFFICIENT_ACCOUNT_BALANCE', index=28, number=28,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_SOLIDITY_ADDRESS', index=29, number=29,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INSUFFICIENT_GAS', index=30, number=30,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='CONTRACT_SIZE_LIMIT_EXCEEDED', index=31, number=31,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='LOCAL_CALL_MODIFICATION_EXCEPTION', index=32, number=32,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='CONTRACT_REVERT_EXECUTED', index=33, number=33,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='CONTRACT_EXECUTION_EXCEPTION', index=34, number=34,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_RECEIVING_NODE_ACCOUNT', index=35, number=35,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='MISSING_QUERY_HEADER', index=36, number=36,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='ACCOUNT_UPDATE_FAILED', index=37, number=37,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_KEY_ENCODING', index=38, number=38,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='NULL_SOLIDITY_ADDRESS', index=39, number=39,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='CONTRACT_UPDATE_FAILED', index=40, number=40,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_QUERY_HEADER', index=41, number=41,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_FEE_SUBMITTED', index=42, number=42,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_PAYER_SIGNATURE', index=43, number=43,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='KEY_NOT_PROVIDED', index=44, number=44,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_EXPIRATION_TIME', index=45, number=45,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='NO_WACL_KEY', index=46, number=46,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='FILE_CONTENT_EMPTY', index=47, number=47,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_ACCOUNT_AMOUNTS', index=48, number=48,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='EMPTY_TRANSACTION_BODY', index=49, number=49,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_TRANSACTION_BODY', index=50, number=50,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_SIGNATURE_TYPE_MISMATCHING_KEY', index=51, number=51,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_SIGNATURE_COUNT_MISMATCHING_KEY', index=52, number=52,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='EMPTY_LIVE_HASH_BODY', index=53, number=53,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='EMPTY_LIVE_HASH', index=54, number=54,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='EMPTY_LIVE_HASH_KEYS', index=55, number=55,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_LIVE_HASH_SIZE', index=56, number=56,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='EMPTY_QUERY_BODY', index=57, number=57,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='EMPTY_LIVE_HASH_QUERY', index=58, number=58,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='LIVE_HASH_NOT_FOUND', index=59, number=59,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='ACCOUNT_ID_DOES_NOT_EXIST', index=60, number=60,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='LIVE_HASH_ALREADY_EXISTS', index=61, number=61,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_FILE_WACL', index=62, number=62,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='SERIALIZATION_FAILED', index=63, number=63,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TRANSACTION_OVERSIZE', index=64, number=64,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TRANSACTION_TOO_MANY_LAYERS', index=65, number=65,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='CONTRACT_DELETED', index=66, number=66,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='PLATFORM_NOT_ACTIVE', index=67, number=67,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='KEY_PREFIX_MISMATCH', index=68, number=68,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='PLATFORM_TRANSACTION_NOT_CREATED', index=69, number=69,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_RENEWAL_PERIOD', index=70, number=70,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_PAYER_ACCOUNT_ID', index=71, number=71,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='ACCOUNT_DELETED', index=72, number=72,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='FILE_DELETED', index=73, number=73,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='ACCOUNT_REPEATED_IN_ACCOUNT_AMOUNTS', index=74, number=74,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='SETTING_NEGATIVE_ACCOUNT_BALANCE', index=75, number=75,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='OBTAINER_REQUIRED', index=76, number=76,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='OBTAINER_SAME_CONTRACT_ID', index=77, number=77,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='OBTAINER_DOES_NOT_EXIST', index=78, number=78,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='MODIFYING_IMMUTABLE_CONTRACT', index=79, number=79,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='FILE_SYSTEM_EXCEPTION', index=80, number=80,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='AUTORENEW_DURATION_NOT_IN_RANGE', index=81, number=81,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='ERROR_DECODING_BYTESTRING', index=82, number=82,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='CONTRACT_FILE_EMPTY', index=83, number=83,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='CONTRACT_BYTECODE_EMPTY', index=84, number=84,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_INITIAL_BALANCE', index=85, number=85,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_RECEIVE_RECORD_THRESHOLD', index=86, number=86,
serialized_options=b'\010\001',
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_SEND_RECORD_THRESHOLD', index=87, number=87,
serialized_options=b'\010\001',
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='ACCOUNT_IS_NOT_GENESIS_ACCOUNT', index=88, number=88,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='PAYER_ACCOUNT_UNAUTHORIZED', index=89, number=89,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_FREEZE_TRANSACTION_BODY', index=90, number=90,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='FREEZE_TRANSACTION_BODY_NOT_FOUND', index=91, number=91,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TRANSFER_LIST_SIZE_LIMIT_EXCEEDED', index=92, number=92,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='RESULT_SIZE_LIMIT_EXCEEDED', index=93, number=93,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='NOT_SPECIAL_ACCOUNT', index=94, number=94,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='CONTRACT_NEGATIVE_GAS', index=95, number=95,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='CONTRACT_NEGATIVE_VALUE', index=96, number=96,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_FEE_FILE', index=97, number=97,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_EXCHANGE_RATE_FILE', index=98, number=98,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INSUFFICIENT_LOCAL_CALL_GAS', index=99, number=99,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='ENTITY_NOT_ALLOWED_TO_DELETE', index=100, number=100,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='AUTHORIZATION_FAILED', index=101, number=101,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='FILE_UPLOADED_PROTO_INVALID', index=102, number=102,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='FILE_UPLOADED_PROTO_NOT_SAVED_TO_DISK', index=103, number=103,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='FEE_SCHEDULE_FILE_PART_UPLOADED', index=104, number=104,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='EXCHANGE_RATE_CHANGE_LIMIT_EXCEEDED', index=105, number=105,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='MAX_CONTRACT_STORAGE_EXCEEDED', index=106, number=106,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TRANSFER_ACCOUNT_SAME_AS_DELETE_ACCOUNT', index=107, number=107,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TOTAL_LEDGER_BALANCE_INVALID', index=108, number=108,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='EXPIRATION_REDUCTION_NOT_ALLOWED', index=109, number=110,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='MAX_GAS_LIMIT_EXCEEDED', index=110, number=111,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='MAX_FILE_SIZE_EXCEEDED', index=111, number=112,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='RECEIVER_SIG_REQUIRED', index=112, number=113,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_TOPIC_ID', index=113, number=150,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_ADMIN_KEY', index=114, number=155,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_SUBMIT_KEY', index=115, number=156,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='UNAUTHORIZED', index=116, number=157,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_TOPIC_MESSAGE', index=117, number=158,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_AUTORENEW_ACCOUNT', index=118, number=159,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='AUTORENEW_ACCOUNT_NOT_ALLOWED', index=119, number=160,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TOPIC_EXPIRED', index=120, number=162,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_CHUNK_NUMBER', index=121, number=163,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_CHUNK_TRANSACTION_ID', index=122, number=164,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='ACCOUNT_FROZEN_FOR_TOKEN', index=123, number=165,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TOKENS_PER_ACCOUNT_LIMIT_EXCEEDED', index=124, number=166,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_TOKEN_ID', index=125, number=167,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_TOKEN_DECIMALS', index=126, number=168,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_TOKEN_INITIAL_SUPPLY', index=127, number=169,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_TREASURY_ACCOUNT_FOR_TOKEN', index=128, number=170,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_TOKEN_SYMBOL', index=129, number=171,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TOKEN_HAS_NO_FREEZE_KEY', index=130, number=172,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TRANSFERS_NOT_ZERO_SUM_FOR_TOKEN', index=131, number=173,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='MISSING_TOKEN_SYMBOL', index=132, number=174,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TOKEN_SYMBOL_TOO_LONG', index=133, number=175,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='ACCOUNT_KYC_NOT_GRANTED_FOR_TOKEN', index=134, number=176,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TOKEN_HAS_NO_KYC_KEY', index=135, number=177,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INSUFFICIENT_TOKEN_BALANCE', index=136, number=178,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TOKEN_WAS_DELETED', index=137, number=179,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TOKEN_HAS_NO_SUPPLY_KEY', index=138, number=180,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TOKEN_HAS_NO_WIPE_KEY', index=139, number=181,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_TOKEN_MINT_AMOUNT', index=140, number=182,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_TOKEN_BURN_AMOUNT', index=141, number=183,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TOKEN_NOT_ASSOCIATED_TO_ACCOUNT', index=142, number=184,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='CANNOT_WIPE_TOKEN_TREASURY_ACCOUNT', index=143, number=185,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_KYC_KEY', index=144, number=186,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_WIPE_KEY', index=145, number=187,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_FREEZE_KEY', index=146, number=188,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_SUPPLY_KEY', index=147, number=189,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='MISSING_TOKEN_NAME', index=148, number=190,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TOKEN_NAME_TOO_LONG', index=149, number=191,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_WIPING_AMOUNT', index=150, number=192,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TOKEN_IS_IMMUTABLE', index=151, number=193,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TOKEN_ALREADY_ASSOCIATED_TO_ACCOUNT', index=152, number=194,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TRANSACTION_REQUIRES_ZERO_TOKEN_BALANCES', index=153, number=195,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='ACCOUNT_IS_TREASURY', index=154, number=196,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TOKEN_ID_REPEATED_IN_TOKEN_LIST', index=155, number=197,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TOKEN_TRANSFER_LIST_SIZE_LIMIT_EXCEEDED', index=156, number=198,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='EMPTY_TOKEN_TRANSFER_BODY', index=157, number=199,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='EMPTY_TOKEN_TRANSFER_ACCOUNT_AMOUNTS', index=158, number=200,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_SCHEDULE_ID', index=159, number=201,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='SCHEDULE_IS_IMMUTABLE', index=160, number=202,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_SCHEDULE_PAYER_ID', index=161, number=203,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_SCHEDULE_ACCOUNT_ID', index=162, number=204,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='NO_NEW_VALID_SIGNATURES', index=163, number=205,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='UNRESOLVABLE_REQUIRED_SIGNERS', index=164, number=206,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='SCHEDULED_TRANSACTION_NOT_IN_WHITELIST', index=165, number=207,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='SOME_SIGNATURES_WERE_INVALID', index=166, number=208,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TRANSACTION_ID_FIELD_NOT_ALLOWED', index=167, number=209,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='IDENTICAL_SCHEDULE_ALREADY_CREATED', index=168, number=210,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_ZERO_BYTE_IN_STRING', index=169, number=211,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='SCHEDULE_ALREADY_DELETED', index=170, number=212,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='SCHEDULE_ALREADY_EXECUTED', index=171, number=213,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='MESSAGE_SIZE_TOO_LARGE', index=172, number=214,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='OPERATION_REPEATED_IN_BUCKET_GROUPS', index=173, number=215,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='BUCKET_CAPACITY_OVERFLOW', index=174, number=216,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='NODE_CAPACITY_NOT_SUFFICIENT_FOR_OPERATION', index=175, number=217,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='BUCKET_HAS_NO_THROTTLE_GROUPS', index=176, number=218,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='THROTTLE_GROUP_HAS_ZERO_OPS_PER_SEC', index=177, number=219,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='SUCCESS_BUT_MISSING_EXPECTED_OPERATION', index=178, number=220,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='UNPARSEABLE_THROTTLE_DEFINITIONS', index=179, number=221,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_THROTTLE_DEFINITIONS', index=180, number=222,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='ACCOUNT_EXPIRED_AND_PENDING_REMOVAL', index=181, number=223,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_TOKEN_MAX_SUPPLY', index=182, number=224,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_TOKEN_NFT_SERIAL_NUMBER', index=183, number=225,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_NFT_ID', index=184, number=226,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='METADATA_TOO_LONG', index=185, number=227,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='BATCH_SIZE_LIMIT_EXCEEDED', index=186, number=228,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_QUERY_RANGE', index=187, number=229,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='FRACTION_DIVIDES_BY_ZERO', index=188, number=230,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INSUFFICIENT_PAYER_BALANCE_FOR_CUSTOM_FEE', index=189, number=231,
serialized_options=b'\010\001',
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='CUSTOM_FEES_LIST_TOO_LONG', index=190, number=232,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_CUSTOM_FEE_COLLECTOR', index=191, number=233,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_TOKEN_ID_IN_CUSTOM_FEES', index=192, number=234,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TOKEN_NOT_ASSOCIATED_TO_FEE_COLLECTOR', index=193, number=235,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TOKEN_MAX_SUPPLY_REACHED', index=194, number=236,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='SENDER_DOES_NOT_OWN_NFT_SERIAL_NO', index=195, number=237,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='CUSTOM_FEE_NOT_FULLY_SPECIFIED', index=196, number=238,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='CUSTOM_FEE_MUST_BE_POSITIVE', index=197, number=239,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TOKEN_HAS_NO_FEE_SCHEDULE_KEY', index=198, number=240,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='CUSTOM_FEE_OUTSIDE_NUMERIC_RANGE', index=199, number=241,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='ROYALTY_FRACTION_CANNOT_EXCEED_ONE', index=200, number=242,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='FRACTIONAL_FEE_MAX_AMOUNT_LESS_THAN_MIN_AMOUNT', index=201, number=243,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='CUSTOM_SCHEDULE_ALREADY_HAS_NO_FEES', index=202, number=244,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='CUSTOM_FEE_DENOMINATION_MUST_BE_FUNGIBLE_COMMON', index=203, number=245,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='CUSTOM_FRACTIONAL_FEE_ONLY_ALLOWED_FOR_FUNGIBLE_COMMON', index=204, number=246,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_CUSTOM_FEE_SCHEDULE_KEY', index=205, number=247,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_TOKEN_MINT_METADATA', index=206, number=248,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_TOKEN_BURN_METADATA', index=207, number=249,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='CURRENT_TREASURY_STILL_OWNS_NFTS', index=208, number=250,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='ACCOUNT_STILL_OWNS_NFTS', index=209, number=251,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TREASURY_MUST_OWN_BURNED_NFT', index=210, number=252,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='ACCOUNT_DOES_NOT_OWN_WIPED_NFT', index=211, number=253,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='ACCOUNT_AMOUNT_TRANSFERS_ONLY_ALLOWED_FOR_FUNGIBLE_COMMON', index=212, number=254,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='MAX_NFTS_IN_PRICE_REGIME_HAVE_BEEN_MINTED', index=213, number=255,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='PAYER_ACCOUNT_DELETED', index=214, number=256,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='CUSTOM_FEE_CHARGING_EXCEEDED_MAX_RECURSION_DEPTH', index=215, number=257,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='CUSTOM_FEE_CHARGING_EXCEEDED_MAX_ACCOUNT_AMOUNTS', index=216, number=258,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INSUFFICIENT_SENDER_ACCOUNT_BALANCE_FOR_CUSTOM_FEE', index=217, number=259,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='SERIAL_NUMBER_LIMIT_REACHED', index=218, number=260,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='CUSTOM_ROYALTY_FEE_ONLY_ALLOWED_FOR_NON_FUNGIBLE_UNIQUE', index=219, number=261,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='NO_REMAINING_AUTOMATIC_ASSOCIATIONS', index=220, number=262,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='EXISTING_AUTOMATIC_ASSOCIATIONS_EXCEED_GIVEN_LIMIT', index=221, number=263,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='REQUESTED_NUM_AUTOMATIC_ASSOCIATIONS_EXCEEDS_ASSOCIATION_LIMIT', index=222, number=264,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TOKEN_IS_PAUSED', index=223, number=265,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='TOKEN_HAS_NO_PAUSE_KEY', index=224, number=266,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_PAUSE_KEY', index=225, number=267,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='FREEZE_UPDATE_FILE_DOES_NOT_EXIST', index=226, number=268,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='FREEZE_UPDATE_FILE_HASH_DOES_NOT_MATCH', index=227, number=269,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='NO_UPGRADE_HAS_BEEN_PREPARED', index=228, number=270,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='NO_FREEZE_IS_SCHEDULED', index=229, number=271,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='UPDATE_FILE_HASH_CHANGED_SINCE_PREPARE_UPGRADE', index=230, number=272,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='FREEZE_START_TIME_MUST_BE_FUTURE', index=231, number=273,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='PREPARED_UPDATE_FILE_IS_IMMUTABLE', index=232, number=274,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='FREEZE_ALREADY_SCHEDULED', index=233, number=275,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='FREEZE_UPGRADE_IN_PROGRESS', index=234, number=276,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='UPDATE_FILE_ID_DOES_NOT_MATCH_PREPARED', index=235, number=277,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='UPDATE_FILE_HASH_DOES_NOT_MATCH_PREPARED', index=236, number=278,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='CONSENSUS_GAS_EXHAUSTED', index=237, number=279,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='REVERTED_SUCCESS', index=238, number=280,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='MAX_STORAGE_IN_PRICE_REGIME_HAS_BEEN_USED', index=239, number=281,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INVALID_ALIAS_KEY', index=240, number=282,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
],
containing_type=None,
serialized_options=None,
serialized_start=31,
serialized_end=7820,
)
_sym_db.RegisterEnumDescriptor(_RESPONSECODEENUM)
ResponseCodeEnum = enum_type_wrapper.EnumTypeWrapper(_RESPONSECODEENUM)
OK = 0
INVALID_TRANSACTION = 1
PAYER_ACCOUNT_NOT_FOUND = 2
INVALID_NODE_ACCOUNT = 3
TRANSACTION_EXPIRED = 4
INVALID_TRANSACTION_START = 5
INVALID_TRANSACTION_DURATION = 6
INVALID_SIGNATURE = 7
MEMO_TOO_LONG = 8
INSUFFICIENT_TX_FEE = 9
INSUFFICIENT_PAYER_BALANCE = 10
DUPLICATE_TRANSACTION = 11
BUSY = 12
NOT_SUPPORTED = 13
INVALID_FILE_ID = 14
INVALID_ACCOUNT_ID = 15
INVALID_CONTRACT_ID = 16
INVALID_TRANSACTION_ID = 17
RECEIPT_NOT_FOUND = 18
RECORD_NOT_FOUND = 19
INVALID_SOLIDITY_ID = 20
UNKNOWN = 21
SUCCESS = 22
FAIL_INVALID = 23
FAIL_FEE = 24
FAIL_BALANCE = 25
KEY_REQUIRED = 26
BAD_ENCODING = 27
INSUFFICIENT_ACCOUNT_BALANCE = 28
INVALID_SOLIDITY_ADDRESS = 29
INSUFFICIENT_GAS = 30
CONTRACT_SIZE_LIMIT_EXCEEDED = 31
LOCAL_CALL_MODIFICATION_EXCEPTION = 32
CONTRACT_REVERT_EXECUTED = 33
CONTRACT_EXECUTION_EXCEPTION = 34
INVALID_RECEIVING_NODE_ACCOUNT = 35
MISSING_QUERY_HEADER = 36
ACCOUNT_UPDATE_FAILED = 37
INVALID_KEY_ENCODING = 38
NULL_SOLIDITY_ADDRESS = 39
CONTRACT_UPDATE_FAILED = 40
INVALID_QUERY_HEADER = 41
INVALID_FEE_SUBMITTED = 42
INVALID_PAYER_SIGNATURE = 43
KEY_NOT_PROVIDED = 44
INVALID_EXPIRATION_TIME = 45
NO_WACL_KEY = 46
FILE_CONTENT_EMPTY = 47
INVALID_ACCOUNT_AMOUNTS = 48
EMPTY_TRANSACTION_BODY = 49
INVALID_TRANSACTION_BODY = 50
INVALID_SIGNATURE_TYPE_MISMATCHING_KEY = 51
INVALID_SIGNATURE_COUNT_MISMATCHING_KEY = 52
EMPTY_LIVE_HASH_BODY = 53
EMPTY_LIVE_HASH = 54
EMPTY_LIVE_HASH_KEYS = 55
INVALID_LIVE_HASH_SIZE = 56
EMPTY_QUERY_BODY = 57
EMPTY_LIVE_HASH_QUERY = 58
LIVE_HASH_NOT_FOUND = 59
ACCOUNT_ID_DOES_NOT_EXIST = 60
LIVE_HASH_ALREADY_EXISTS = 61
INVALID_FILE_WACL = 62
SERIALIZATION_FAILED = 63
TRANSACTION_OVERSIZE = 64
TRANSACTION_TOO_MANY_LAYERS = 65
CONTRACT_DELETED = 66
PLATFORM_NOT_ACTIVE = 67
KEY_PREFIX_MISMATCH = 68
PLATFORM_TRANSACTION_NOT_CREATED = 69
INVALID_RENEWAL_PERIOD = 70
INVALID_PAYER_ACCOUNT_ID = 71
ACCOUNT_DELETED = 72
FILE_DELETED = 73
ACCOUNT_REPEATED_IN_ACCOUNT_AMOUNTS = 74
SETTING_NEGATIVE_ACCOUNT_BALANCE = 75
OBTAINER_REQUIRED = 76
OBTAINER_SAME_CONTRACT_ID = 77
OBTAINER_DOES_NOT_EXIST = 78
MODIFYING_IMMUTABLE_CONTRACT = 79
FILE_SYSTEM_EXCEPTION = 80
AUTORENEW_DURATION_NOT_IN_RANGE = 81
ERROR_DECODING_BYTESTRING = 82
CONTRACT_FILE_EMPTY = 83
CONTRACT_BYTECODE_EMPTY = 84
INVALID_INITIAL_BALANCE = 85
INVALID_RECEIVE_RECORD_THRESHOLD = 86
INVALID_SEND_RECORD_THRESHOLD = 87
ACCOUNT_IS_NOT_GENESIS_ACCOUNT = 88
PAYER_ACCOUNT_UNAUTHORIZED = 89
INVALID_FREEZE_TRANSACTION_BODY = 90
FREEZE_TRANSACTION_BODY_NOT_FOUND = 91
TRANSFER_LIST_SIZE_LIMIT_EXCEEDED = 92
RESULT_SIZE_LIMIT_EXCEEDED = 93
NOT_SPECIAL_ACCOUNT = 94
CONTRACT_NEGATIVE_GAS = 95
CONTRACT_NEGATIVE_VALUE = 96
INVALID_FEE_FILE = 97
INVALID_EXCHANGE_RATE_FILE = 98
INSUFFICIENT_LOCAL_CALL_GAS = 99
ENTITY_NOT_ALLOWED_TO_DELETE = 100
AUTHORIZATION_FAILED = 101
FILE_UPLOADED_PROTO_INVALID = 102
FILE_UPLOADED_PROTO_NOT_SAVED_TO_DISK = 103
FEE_SCHEDULE_FILE_PART_UPLOADED = 104
EXCHANGE_RATE_CHANGE_LIMIT_EXCEEDED = 105
MAX_CONTRACT_STORAGE_EXCEEDED = 106
TRANSFER_ACCOUNT_SAME_AS_DELETE_ACCOUNT = 107
TOTAL_LEDGER_BALANCE_INVALID = 108
EXPIRATION_REDUCTION_NOT_ALLOWED = 110
MAX_GAS_LIMIT_EXCEEDED = 111
MAX_FILE_SIZE_EXCEEDED = 112
RECEIVER_SIG_REQUIRED = 113
INVALID_TOPIC_ID = 150
INVALID_ADMIN_KEY = 155
INVALID_SUBMIT_KEY = 156
UNAUTHORIZED = 157
INVALID_TOPIC_MESSAGE = 158
INVALID_AUTORENEW_ACCOUNT = 159
AUTORENEW_ACCOUNT_NOT_ALLOWED = 160
TOPIC_EXPIRED = 162
INVALID_CHUNK_NUMBER = 163
INVALID_CHUNK_TRANSACTION_ID = 164
ACCOUNT_FROZEN_FOR_TOKEN = 165
TOKENS_PER_ACCOUNT_LIMIT_EXCEEDED = 166
INVALID_TOKEN_ID = 167
INVALID_TOKEN_DECIMALS = 168
INVALID_TOKEN_INITIAL_SUPPLY = 169
INVALID_TREASURY_ACCOUNT_FOR_TOKEN = 170
INVALID_TOKEN_SYMBOL = 171
TOKEN_HAS_NO_FREEZE_KEY = 172
TRANSFERS_NOT_ZERO_SUM_FOR_TOKEN = 173
MISSING_TOKEN_SYMBOL = 174
TOKEN_SYMBOL_TOO_LONG = 175
ACCOUNT_KYC_NOT_GRANTED_FOR_TOKEN = 176
TOKEN_HAS_NO_KYC_KEY = 177
INSUFFICIENT_TOKEN_BALANCE = 178
TOKEN_WAS_DELETED = 179
TOKEN_HAS_NO_SUPPLY_KEY = 180
TOKEN_HAS_NO_WIPE_KEY = 181
INVALID_TOKEN_MINT_AMOUNT = 182
INVALID_TOKEN_BURN_AMOUNT = 183
TOKEN_NOT_ASSOCIATED_TO_ACCOUNT = 184
CANNOT_WIPE_TOKEN_TREASURY_ACCOUNT = 185
INVALID_KYC_KEY = 186
INVALID_WIPE_KEY = 187
INVALID_FREEZE_KEY = 188
INVALID_SUPPLY_KEY = 189
MISSING_TOKEN_NAME = 190
TOKEN_NAME_TOO_LONG = 191
INVALID_WIPING_AMOUNT = 192
TOKEN_IS_IMMUTABLE = 193
TOKEN_ALREADY_ASSOCIATED_TO_ACCOUNT = 194
TRANSACTION_REQUIRES_ZERO_TOKEN_BALANCES = 195
ACCOUNT_IS_TREASURY = 196
TOKEN_ID_REPEATED_IN_TOKEN_LIST = 197
TOKEN_TRANSFER_LIST_SIZE_LIMIT_EXCEEDED = 198
EMPTY_TOKEN_TRANSFER_BODY = 199
EMPTY_TOKEN_TRANSFER_ACCOUNT_AMOUNTS = 200
INVALID_SCHEDULE_ID = 201
SCHEDULE_IS_IMMUTABLE = 202
INVALID_SCHEDULE_PAYER_ID = 203
INVALID_SCHEDULE_ACCOUNT_ID = 204
NO_NEW_VALID_SIGNATURES = 205
UNRESOLVABLE_REQUIRED_SIGNERS = 206
SCHEDULED_TRANSACTION_NOT_IN_WHITELIST = 207
SOME_SIGNATURES_WERE_INVALID = 208
TRANSACTION_ID_FIELD_NOT_ALLOWED = 209
IDENTICAL_SCHEDULE_ALREADY_CREATED = 210
INVALID_ZERO_BYTE_IN_STRING = 211
SCHEDULE_ALREADY_DELETED = 212
SCHEDULE_ALREADY_EXECUTED = 213
MESSAGE_SIZE_TOO_LARGE = 214
OPERATION_REPEATED_IN_BUCKET_GROUPS = 215
BUCKET_CAPACITY_OVERFLOW = 216
NODE_CAPACITY_NOT_SUFFICIENT_FOR_OPERATION = 217
BUCKET_HAS_NO_THROTTLE_GROUPS = 218
THROTTLE_GROUP_HAS_ZERO_OPS_PER_SEC = 219
SUCCESS_BUT_MISSING_EXPECTED_OPERATION = 220
UNPARSEABLE_THROTTLE_DEFINITIONS = 221
INVALID_THROTTLE_DEFINITIONS = 222
ACCOUNT_EXPIRED_AND_PENDING_REMOVAL = 223
INVALID_TOKEN_MAX_SUPPLY = 224
INVALID_TOKEN_NFT_SERIAL_NUMBER = 225
INVALID_NFT_ID = 226
METADATA_TOO_LONG = 227
BATCH_SIZE_LIMIT_EXCEEDED = 228
INVALID_QUERY_RANGE = 229
FRACTION_DIVIDES_BY_ZERO = 230
INSUFFICIENT_PAYER_BALANCE_FOR_CUSTOM_FEE = 231
CUSTOM_FEES_LIST_TOO_LONG = 232
INVALID_CUSTOM_FEE_COLLECTOR = 233
INVALID_TOKEN_ID_IN_CUSTOM_FEES = 234
TOKEN_NOT_ASSOCIATED_TO_FEE_COLLECTOR = 235
TOKEN_MAX_SUPPLY_REACHED = 236
SENDER_DOES_NOT_OWN_NFT_SERIAL_NO = 237
CUSTOM_FEE_NOT_FULLY_SPECIFIED = 238
CUSTOM_FEE_MUST_BE_POSITIVE = 239
TOKEN_HAS_NO_FEE_SCHEDULE_KEY = 240
CUSTOM_FEE_OUTSIDE_NUMERIC_RANGE = 241
ROYALTY_FRACTION_CANNOT_EXCEED_ONE = 242
FRACTIONAL_FEE_MAX_AMOUNT_LESS_THAN_MIN_AMOUNT = 243
CUSTOM_SCHEDULE_ALREADY_HAS_NO_FEES = 244
CUSTOM_FEE_DENOMINATION_MUST_BE_FUNGIBLE_COMMON = 245
CUSTOM_FRACTIONAL_FEE_ONLY_ALLOWED_FOR_FUNGIBLE_COMMON = 246
INVALID_CUSTOM_FEE_SCHEDULE_KEY = 247
INVALID_TOKEN_MINT_METADATA = 248
INVALID_TOKEN_BURN_METADATA = 249
CURRENT_TREASURY_STILL_OWNS_NFTS = 250
ACCOUNT_STILL_OWNS_NFTS = 251
TREASURY_MUST_OWN_BURNED_NFT = 252
ACCOUNT_DOES_NOT_OWN_WIPED_NFT = 253
ACCOUNT_AMOUNT_TRANSFERS_ONLY_ALLOWED_FOR_FUNGIBLE_COMMON = 254
MAX_NFTS_IN_PRICE_REGIME_HAVE_BEEN_MINTED = 255
PAYER_ACCOUNT_DELETED = 256
CUSTOM_FEE_CHARGING_EXCEEDED_MAX_RECURSION_DEPTH = 257
CUSTOM_FEE_CHARGING_EXCEEDED_MAX_ACCOUNT_AMOUNTS = 258
INSUFFICIENT_SENDER_ACCOUNT_BALANCE_FOR_CUSTOM_FEE = 259
SERIAL_NUMBER_LIMIT_REACHED = 260
CUSTOM_ROYALTY_FEE_ONLY_ALLOWED_FOR_NON_FUNGIBLE_UNIQUE = 261
NO_REMAINING_AUTOMATIC_ASSOCIATIONS = 262
EXISTING_AUTOMATIC_ASSOCIATIONS_EXCEED_GIVEN_LIMIT = 263
REQUESTED_NUM_AUTOMATIC_ASSOCIATIONS_EXCEEDS_ASSOCIATION_LIMIT = 264
TOKEN_IS_PAUSED = 265
TOKEN_HAS_NO_PAUSE_KEY = 266
INVALID_PAUSE_KEY = 267
FREEZE_UPDATE_FILE_DOES_NOT_EXIST = 268
FREEZE_UPDATE_FILE_HASH_DOES_NOT_MATCH = 269
NO_UPGRADE_HAS_BEEN_PREPARED = 270
NO_FREEZE_IS_SCHEDULED = 271
UPDATE_FILE_HASH_CHANGED_SINCE_PREPARE_UPGRADE = 272
FREEZE_START_TIME_MUST_BE_FUTURE = 273
PREPARED_UPDATE_FILE_IS_IMMUTABLE = 274
FREEZE_ALREADY_SCHEDULED = 275
FREEZE_UPGRADE_IN_PROGRESS = 276
UPDATE_FILE_ID_DOES_NOT_MATCH_PREPARED = 277
UPDATE_FILE_HASH_DOES_NOT_MATCH_PREPARED = 278
CONSENSUS_GAS_EXHAUSTED = 279
REVERTED_SUCCESS = 280
MAX_STORAGE_IN_PRICE_REGIME_HAS_BEEN_USED = 281
INVALID_ALIAS_KEY = 282
DESCRIPTOR.enum_types_by_name['ResponseCodeEnum'] = _RESPONSECODEENUM
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
DESCRIPTOR._options = None
_RESPONSECODEENUM.values_by_name["INVALID_RECEIVE_RECORD_THRESHOLD"]._options = None
_RESPONSECODEENUM.values_by_name["INVALID_SEND_RECORD_THRESHOLD"]._options = None
_RESPONSECODEENUM.values_by_name["INSUFFICIENT_PAYER_BALANCE_FOR_CUSTOM_FEE"]._options = None
# @@protoc_insertion_point(module_scope)
| 46.264176 | 11,814 | 0.773453 | 8,922 | 69,350 | 5.574535 | 0.103676 | 0.087944 | 0.184514 | 0.131917 | 0.657431 | 0.588909 | 0.558026 | 0.528571 | 0.514034 | 0.512265 | 0 | 0.067094 | 0.134535 | 69,350 | 1,498 | 11,815 | 46.29506 | 0.761563 | 0.003057 | 0 | 0.652937 | 1 | 0.004727 | 0.236445 | 0.217495 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.003376 | 0 | 0.003376 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
3d508ea692ff4c0fe012224a02611729b8b6ea1c | 850 | py | Python | heliotrope/view/api/hitomi/info.py | ombe1229/Heliotrope | d8160a23fd12e8987f80edfacfa4d3fb7de7be21 | [
"MIT"
] | null | null | null | heliotrope/view/api/hitomi/info.py | ombe1229/Heliotrope | d8160a23fd12e8987f80edfacfa4d3fb7de7be21 | [
"MIT"
] | null | null | null | heliotrope/view/api/hitomi/info.py | ombe1229/Heliotrope | d8160a23fd12e8987f80edfacfa4d3fb7de7be21 | [
"MIT"
] | null | null | null | from sanic.blueprints import Blueprint
from sanic.response import HTTPResponse, json
from sanic.views import HTTPMethodView
from sanic_openapi import openapi # type: ignore
from heliotrope.sanic import HeliotropeRequest
hitomi_info = Blueprint("hitomi_info", url_prefix="/info")
class HitomiInfoView(HTTPMethodView):
@openapi.summary("Get hitomi info") # type: ignore
@openapi.tag("hitomi") # type: ignore
async def get(self, request: HeliotropeRequest, index_id: int) -> HTTPResponse:
if info := await request.app.ctx.nosql_query.find_info(index_id):
return json({"status": 200, **info})
return request.app.ctx.response.not_found
# TODO: add_route is partially unknown and as_view is partially unknown Need PR Sanic
hitomi_info.add_route(HitomiInfoView.as_view(), "/<index_id:int>") # type: ignore
| 36.956522 | 85 | 0.747059 | 112 | 850 | 5.535714 | 0.482143 | 0.058065 | 0.032258 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004167 | 0.152941 | 850 | 22 | 86 | 38.636364 | 0.856944 | 0.158824 | 0 | 0 | 0 | 0 | 0.081805 | 0 | 0 | 0 | 0 | 0.045455 | 0 | 1 | 0 | false | 0 | 0.357143 | 0 | 0.571429 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
3d61d07fc4bf1fa9b87854a6777b4c7445d518bd | 4,777 | py | Python | jmetal/problem/multiobjective/zdt.py | 12yuens2/jMetalPy | 6f54940cb205df831f5498e2eac2520b331ee4fd | [
"MIT"
] | 335 | 2017-03-16T19:44:50.000Z | 2022-03-30T08:50:46.000Z | jmetal/problem/multiobjective/zdt.py | 12yuens2/jMetalPy | 6f54940cb205df831f5498e2eac2520b331ee4fd | [
"MIT"
] | 85 | 2017-05-16T06:40:51.000Z | 2022-02-05T23:43:49.000Z | jmetal/problem/multiobjective/zdt.py | 12yuens2/jMetalPy | 6f54940cb205df831f5498e2eac2520b331ee4fd | [
"MIT"
] | 130 | 2017-02-08T01:19:15.000Z | 2022-03-25T08:32:08.000Z | from math import sqrt, pow, sin, pi, cos
from jmetal.core.problem import FloatProblem
from jmetal.core.solution import FloatSolution
"""
.. module:: ZDT
:platform: Unix, Windows
:synopsis: ZDT problem family of multi-objective problems.
.. moduleauthor:: Antonio J. Nebro <antonio@lcc.uma.es>
"""
class ZDT1(FloatProblem):
""" Problem ZDT1.
.. note:: Bi-objective unconstrained problem. The default number of variables is 30.
.. note:: Continuous problem having a convex Pareto front
"""
def __init__(self, number_of_variables: int=30):
""" :param number_of_variables: Number of decision variables of the problem.
"""
super(ZDT1, self).__init__()
self.number_of_variables = number_of_variables
self.number_of_objectives = 2
self.number_of_constraints = 0
self.obj_directions = [self.MINIMIZE, self.MINIMIZE]
self.obj_labels = ['x', 'y']
self.lower_bound = self.number_of_variables * [0.0]
self.upper_bound = self.number_of_variables * [1.0]
def evaluate(self, solution: FloatSolution) -> FloatSolution:
g = self.eval_g(solution)
h = self.eval_h(solution.variables[0], g)
solution.objectives[0] = solution.variables[0]
solution.objectives[1] = h * g
return solution
def eval_g(self, solution: FloatSolution):
g = sum(solution.variables) - solution.variables[0]
constant = 9.0 / (solution.number_of_variables - 1)
return constant * g + 1.0
def eval_h(self, f: float, g: float) -> float:
return 1.0 - sqrt(f / g)
def get_name(self):
return 'ZDT1'
class ZDT1Modified(ZDT1):
""" Problem ZDT1Modified.
.. note:: Version including a loop for increasing the computing time of the evaluation functions.
"""
def __init__(self, number_of_variables = 30):
super(ZDT1Modified, self).__init__(number_of_variables)
def evaluate(self, solution:FloatSolution) -> FloatSolution:
s: float = 0.0
for i in range(1000):
for j in range(10000):
s += i * 0.235 / 1.234 + 1.23525 * j
return super().evaluate(solution)
class ZDT2(ZDT1):
""" Problem ZDT2.
.. note:: Bi-objective unconstrained problem. The default number of variables is 30.
.. note:: Continuous problem having a non-convex Pareto front
"""
def eval_h(self, f: float, g: float) -> float:
return 1.0 - pow(f / g, 2.0)
def get_name(self):
return 'ZDT2'
class ZDT3(ZDT1):
""" Problem ZDT3.
.. note:: Bi-objective unconstrained problem. The default number of variables is 30.
.. note:: Continuous problem having a partitioned Pareto front
"""
def eval_h(self, f: float, g: float) -> float:
return 1.0 - sqrt(f / g) - (f / g) * sin(10.0 * f * pi)
def get_name(self):
return 'ZDT3'
class ZDT4(ZDT1):
""" Problem ZDT4.
.. note:: Bi-objective unconstrained problem. The default number of variables is 10.
.. note:: Continuous multi-modal problem having a convex Pareto front
"""
def __init__(self, number_of_variables: int=10):
""" :param number_of_variables: Number of decision variables of the problem.
"""
super(ZDT4, self).__init__(number_of_variables=number_of_variables)
self.lower_bound = self.number_of_variables * [-5.0]
self.upper_bound = self.number_of_variables * [5.0]
self.lower_bound[0] = 0.0
self.upper_bound[0] = 1.0
def eval_g(self, solution: FloatSolution):
g = 0.0
for i in range(1, solution.number_of_variables):
g += pow(solution.variables[i], 2.0) - 10.0 * cos(4.0 * pi * solution.variables[i])
g += 1.0 + 10.0 * (solution.number_of_variables - 1)
return g
def eval_h(self, f: float, g: float) -> float:
return 1.0 - sqrt(f / g)
def get_name(self):
return 'ZDT4'
class ZDT6(ZDT1):
""" Problem ZDT6.
.. note:: Bi-objective unconstrained problem. The default number of variables is 10.
.. note:: Continuous problem having a non-convex Pareto front
"""
def __init__(self, number_of_variables: int=10):
""" :param number_of_variables: Number of decision variables of the problem.
"""
super(ZDT6, self).__init__(number_of_variables=number_of_variables)
def eval_g(self, solution: FloatSolution):
g = sum(solution.variables) - solution.variables[0]
g = g / (solution.number_of_variables - 1)
g = pow(g, 0.25)
g = 9.0 * g
g = 1.0 + g
return g
def eval_h(self, f: float, g: float) -> float:
return 1.0 - pow(f / g, 2.0)
def get_name(self):
return 'ZDT6'
| 29.670807 | 101 | 0.628009 | 649 | 4,777 | 4.46379 | 0.172573 | 0.088367 | 0.15844 | 0.06524 | 0.659993 | 0.626855 | 0.574387 | 0.513635 | 0.448395 | 0.448395 | 0 | 0.038483 | 0.254762 | 4,777 | 160 | 102 | 29.85625 | 0.775281 | 0.245342 | 0 | 0.324675 | 0 | 0 | 0.006673 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.246753 | false | 0 | 0.038961 | 0.12987 | 0.558442 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
e9eacbec0983f71ad935211a09d14567cc6a0fcf | 3,438 | py | Python | unittest/test.py | DongHoonPark/ltspice_pytool | 5055d50d4106d5aba473713f3a3138622c6ad4a7 | [
"MIT"
] | 65 | 2018-12-31T15:20:24.000Z | 2022-03-25T17:01:01.000Z | unittest/test.py | DongHoonPark/ltspice_pytool | 5055d50d4106d5aba473713f3a3138622c6ad4a7 | [
"MIT"
] | 21 | 2019-09-03T15:23:11.000Z | 2022-02-08T14:35:21.000Z | unittest/test.py | DongHoonPark/ltspice_pytool | 5055d50d4106d5aba473713f3a3138622c6ad4a7 | [
"MIT"
] | 22 | 2019-06-16T09:26:33.000Z | 2021-08-15T09:25:21.000Z | import unittest
from ltspice import Ltspice
import os
from os import path
import numpy as np
class TestLtspiceMethods(unittest.TestCase):
def __init__(self, methodName: str) -> None:
super().__init__(methodName=methodName)
self.__file_path = os.path.dirname(__file__)
def test_loading(self):
passed = True
try:
Ltspice(path.join(self.__file_path, 'rl_circuit_tran.raw')).parse()
Ltspice(path.join(self.__file_path, 'rl_circuit_tran64b.raw')).parse()
Ltspice(path.join(self.__file_path, 'rl_circuit_ac.raw')).parse()
Ltspice(path.join(self.__file_path, 'rl_circuit_fft.fft')).parse()
Ltspice(path.join(self.__file_path, 'rl_circuit_tranascii.raw')).parse()
Ltspice(path.join(self.__file_path, 'rl_circuit_acascii.raw')).parse()
Ltspice(path.join(self.__file_path, 'rl_circuit_fftascii.fft')).parse()
except Exception as e:
print(e)
passed = False
self.assertTrue(passed)
def test_transient_data(self):
lt1 = Ltspice(path.join(self.__file_path, 'rl_circuit_tran.raw')).parse()
lt2 = Ltspice(path.join(self.__file_path, 'rl_circuit_tran64b.raw')).parse()
lt3 = Ltspice(path.join(self.__file_path, 'rl_circuit_tranascii.raw')).parse()
self.assertTrue(abs(lt1.get_data('V(R1)', time=0.1) - lt2.get_data('V(R1)', time=0.1)) < 2e-3)
self.assertTrue(abs(lt2.get_data('V(R1)', time=0.1) - lt3.get_data('V(R1)', time=0.1)) < 2e-3)
self.assertTrue(abs(lt3.get_data('V(R1)', time=0.1) - lt1.get_data('V(R1)', time=0.1)) < 2e-3)
t1 = lt1.get_x()
tp_last = 0
for tp in t1:
self.assertLessEqual(tp_last, tp)
tp_last = tp
t2 = lt2.get_x()
tp_last = 0
for tp in t2:
self.assertLessEqual(tp_last, tp)
tp_last = tp
t3 = lt3.get_x()
tp_last = 0
for tp in t3:
self.assertLessEqual(tp_last, tp)
tp_last = tp
def test_fft_data(self):
lt1 = Ltspice(path.join(self.__file_path, 'rl_circuit_fft.fft')).parse()
lt2 = Ltspice(path.join(self.__file_path, 'rl_circuit_fftascii.fft')).parse()
freq = np.linspace(1000, 130000, 130)
x1 = lt1.get_data('V(R1)', frequency=freq)
x2 = lt2.get_data('V(R1)', frequency=freq)
self.assertTrue(np.isclose(0, np.max(abs(x1) -abs(x2)), atol=1e-5))
self.assertTrue(np.isclose(0, np.max(np.angle(x1) - np.angle(x2)), atol=1e-2))
def test_ac_data(self):
lt1 = Ltspice(path.join(self.__file_path, 'rl_circuit_acascii.raw')).parse()
lt2 = Ltspice(path.join(self.__file_path, 'rl_circuit_ac.raw')).parse()
freq = np.linspace(0, 1300, 1301)
x1 = lt1.get_data('V(R1)', frequency=freq)
x2 = lt2.get_data('V(R1)', frequency=freq)
self.assertTrue(np.isclose(0, np.max(abs(x1) - abs(x2))))
self.assertTrue(np.isclose(0, np.max(np.angle(x1) - np.angle(x2))))
def test_reverse_x_dc_analysis(self):
passed = True
try:
lt1 = Ltspice(path.join(self.__file_path, 'reverse_x_analysis.raw')).parse()
except:
passed = False
self.assertTrue(passed)
self.assertTrue(lt1.case_count is 28)
if __name__ == '__main__':
unittest.main()
| 36.967742 | 102 | 0.605876 | 489 | 3,438 | 3.989775 | 0.192229 | 0.065607 | 0.098411 | 0.146079 | 0.732957 | 0.701179 | 0.701179 | 0.685802 | 0.570477 | 0.560738 | 0 | 0.041297 | 0.246364 | 3,438 | 92 | 103 | 37.369565 | 0.711694 | 0 | 0 | 0.295775 | 0 | 0 | 0.107652 | 0.059354 | 0 | 0 | 0 | 0 | 0.183099 | 1 | 0.084507 | false | 0.084507 | 0.070423 | 0 | 0.169014 | 0.014085 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
e9ffd8ea4934d502e01ad1d28577b5d32a45d8b7 | 9,545 | py | Python | venv/lib/python3.8/site-packages/dateparser/data/numeral_translation_data/zh.py | yuta-komura/vishnu | 67173b674d5f4f3be189474103612447ef69ab44 | [
"MIT"
] | 1 | 2021-11-17T04:55:14.000Z | 2021-11-17T04:55:14.000Z | dateparser/data/numeral_translation_data/zh.py | cool-RR/dateparser | c38336df521cc57d947dc2c9111539a72f801652 | [
"BSD-3-Clause"
] | null | null | null | dateparser/data/numeral_translation_data/zh.py | cool-RR/dateparser | c38336df521cc57d947dc2c9111539a72f801652 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
info = {
"%%cardinal-alternate2-13": {
"(10, 19)": "零一=%spellout-cardinal-alternate2=;",
"(20, 999999999999)": "零=%spellout-cardinal-alternate2=;",
"(1000000000000, 'inf')": "=%spellout-cardinal-alternate2=;"
},
"%%cardinal-alternate2-2": {
"(1, 9)": "零=%spellout-numbering=;",
"(10, 19)": "一=%spellout-numbering=;",
"(20, 'inf')": "=%spellout-numbering=;"
},
"%%cardinal-alternate2-3": {
"(1, 9)": "零=%spellout-numbering=;",
"(10, 19)": "零一=%spellout-cardinal-alternate2=;",
"(20, 99)": "零=%spellout-cardinal-alternate2=;",
"(100, 'inf')": "=%spellout-cardinal-alternate2=;"
},
"%%cardinal-alternate2-4": {
"(1, 9)": "零=%spellout-numbering=;",
"(10, 19)": "零一=%spellout-cardinal-alternate2=;",
"(20, 999)": "零=%spellout-cardinal-alternate2=;",
"(1000, 'inf')": "=%spellout-cardinal-alternate2=;"
},
"%%cardinal-alternate2-5": {
"(1, 9)": "零=%spellout-numbering=;",
"(10, 19)": "零一=%spellout-cardinal-alternate2=;",
"(20, 9999)": "零=%spellout-cardinal-alternate2=;",
"(10000, 'inf')": "=%spellout-cardinal-alternate2=;"
},
"%%cardinal-alternate2-8": {
"(1, 9)": "零=%spellout-numbering=;",
"(10, 19)": "零一=%spellout-cardinal-alternate2=;",
"(20, 9999999)": "零=%spellout-cardinal-alternate2=;",
"(10000000, 'inf')": "=%spellout-cardinal-alternate2=;"
},
"%%cardinal13": {
"(10, 19)": "零一=%spellout-cardinal=;",
"(20, 999999999999)": "零=%spellout-cardinal=;",
"(1000000000000, 'inf')": "=%spellout-cardinal=;"
},
"%%cardinal2": {
"(1, 9)": "零=%spellout-numbering=;",
"(10, 19)": "一=%spellout-numbering=;",
"(20, 'inf')": "=%spellout-numbering=;"
},
"%%cardinal3": {
"(1, 9)": "零=%spellout-numbering=;",
"(10, 19)": "零一=%spellout-cardinal=;",
"(20, 99)": "零=%spellout-cardinal=;",
"(100, 'inf')": "=%spellout-cardinal=;"
},
"%%cardinal4": {
"(1, 9)": "零=%spellout-numbering=;",
"(10, 19)": "零一=%spellout-cardinal=;",
"(20, 999)": "零=%spellout-cardinal=;",
"(1000, 'inf')": "=%spellout-cardinal=;"
},
"%%cardinal5": {
"(1, 9)": "零=%spellout-numbering=;",
"(10, 19)": "零一=%spellout-cardinal=;",
"(20, 9999)": "零=%spellout-cardinal=;",
"(10000, 'inf')": "=%spellout-cardinal=;"
},
"%%cardinal8": {
"(1, 9)": "零=%spellout-numbering=;",
"(10, 19)": "零一=%spellout-cardinal=;",
"(20, 9999999)": "零=%spellout-cardinal=;",
"(10000000, 'inf')": "=%spellout-cardinal=;"
},
"%%financialnumber13": {
"(10, 19)": "零壹=%spellout-cardinal-financial=;",
"(20, 999999999999)": "零=%spellout-cardinal-financial=;",
"(1000000000000, 'inf')": "=%spellout-cardinal-financial=;"
},
"%%financialnumber2": {
"(1, 9)": "零=%spellout-cardinal-financial=;",
"(10, 19)": "壹=%spellout-cardinal-financial=;",
"(20, 'inf')": "=%spellout-cardinal-financial=;"
},
"%%financialnumber3": {
"(1, 9)": "零=%spellout-cardinal-financial=;",
"(10, 19)": "零壹=%spellout-cardinal-financial=;",
"(20, 99)": "零=%spellout-cardinal-financial=;",
"(100, 'inf')": "=%spellout-cardinal-financial=;"
},
"%%financialnumber4": {
"(1, 9)": "零=%spellout-cardinal-financial=;",
"(10, 19)": "零壹=%spellout-cardinal-financial=;",
"(20, 999)": "零=%spellout-cardinal-financial=;",
"(1000, 'inf')": "=%spellout-cardinal-financial=;"
},
"%%financialnumber5": {
"(1, 9)": "零=%spellout-cardinal-financial=;",
"(10, 19)": "零壹=%spellout-cardinal-financial=;",
"(20, 9999)": "零=%spellout-cardinal-financial=;",
"(10000, 'inf')": "=%spellout-cardinal-financial=;"
},
"%%financialnumber8": {
"(1, 9)": "零=%spellout-cardinal-financial=;",
"(10, 19)": "零壹=%spellout-cardinal-financial=;",
"(20, 9999999)": "零=%spellout-cardinal-financial=;",
"(10000000, 'inf')": "=%spellout-cardinal-financial=;"
},
"%%number13": {
"(10, 19)": "〇一=%spellout-numbering=;",
"(20, 999999999999)": "〇=%spellout-numbering=;",
"(1000000000000, 'inf')": "=%spellout-numbering=;"
},
"%%number2": {
"(1, 9)": "〇=%spellout-numbering=;",
"(10, 19)": "一=%spellout-numbering=;",
"(20, 'inf')": "=%spellout-numbering=;"
},
"%%number3": {
"(1, 9)": "〇=%spellout-numbering=;",
"(10, 19)": "〇一=%spellout-numbering=;",
"(20, 99)": "〇=%spellout-numbering=;",
"(100, 'inf')": "=%spellout-numbering=;"
},
"%%number4": {
"(1, 9)": "〇=%spellout-numbering=;",
"(10, 19)": "〇一=%spellout-numbering=;",
"(20, 999)": "〇=%spellout-numbering=;",
"(1000, 'inf')": "=%spellout-numbering=;"
},
"%%number5": {
"(1, 9)": "〇=%spellout-numbering=;",
"(10, 19)": "〇一=%spellout-numbering=;",
"(20, 9999)": "〇=%spellout-numbering=;",
"(10000, 'inf')": "=%spellout-numbering=;"
},
"%%number8": {
"(1, 9)": "〇=%spellout-numbering=;",
"(10, 19)": "〇一=%spellout-numbering=;",
"(20, 9999999)": "〇=%spellout-numbering=;",
"(10000000, 'inf')": "=%spellout-numbering=;"
},
"%%numbering-days": {
"(0, 20)": "=%spellout-numbering=;",
"(21, 29)": "廿>>;",
"30": "<<十;",
"(31, 39)": "丗>>;",
"40": "<<十;",
"(41, 49)": "卌>>;",
"(50, 'inf')": "=%spellout-numbering=;"
},
"%%spellout-numbering-year-digits": {
"(0, 9)": "=%spellout-numbering=;",
"(10, 99)": "<<>>>;",
"(100, 999)": "<<>>>;",
"(1000, 'inf')": "<<>>>;"
},
"%spellout-cardinal": {
"0": "零;",
"1": "一;",
"2": "二;",
"3": "三;",
"4": "四;",
"5": "五;",
"6": "六;",
"7": "七;",
"8": "八;",
"9": "九;",
"(10, 99)": "=%spellout-numbering=;",
"(100, 999)": "<<百[>%%cardinal2>];",
"(1000, 9999)": "<<千[>%%cardinal3>];",
"(10000, 99999999)": "<<万[>%%cardinal4>];",
"(100000000, 999999999999)": "<<亿[>%%cardinal5>];",
"(1000000000000, 9999999999999999)": "<<兆[>%%cardinal8>];",
"(10000000000000000, 999999999999999999)": "<<京[>%%cardinal13>];",
"(1000000000000000000, 'inf')": "=#,##0=;"
},
"%spellout-cardinal-alternate2": {
"3": "三;",
"4": "四;",
"5": "五;",
"6": "六;",
"7": "七;",
"8": "八;",
"9": "九;",
"(10, 99)": "=%spellout-numbering=;",
"(100, 999)": "<<百[>%%cardinal-alternate2-2>];",
"(1000, 9999)": "<<千[>%%cardinal-alternate2-3>];",
"(10000, 99999999)": "<<万[>%%cardinal-alternate2-4>];",
"(100000000, 999999999999)": "<<亿[>%%cardinal-alternate2-5>];",
"(1000000000000, 9999999999999999)": "<<兆[>%%cardinal-alternate2-8>];",
"(10000000000000000, 999999999999999999)": "<<京[>%%cardinal-alternate2-13>];",
"(1000000000000000000, 'inf')": "=#,##0=;"
},
"%spellout-cardinal-financial": {
"0": "零;",
"1": "壹;",
"2": "贰;",
"3": "叁;",
"4": "肆;",
"5": "伍;",
"6": "陆;",
"7": "柒;",
"8": "捌;",
"9": "玖;",
"(10, 19)": "拾[>>];",
"(20, 99)": "<<拾[>>];",
"(100, 999)": "<<佰[>%%financialnumber2>];",
"(1000, 9999)": "<<仟[>%%financialnumber3>];",
"(10000, 99999999)": "<<万[>%%financialnumber4>];",
"(100000000, 999999999999)": "<<亿[>%%financialnumber5>];",
"(1000000000000, 9999999999999999)": "<<兆[>%%financialnumber8>];",
"(10000000000000000, 999999999999999999)": "<<京[>%%financialnumber13>];",
"(1000000000000000000, 'inf')": "=#,##0=;"
},
"%spellout-numbering": {
"0": "〇;",
"1": "一;",
"2": "二;",
"3": "三;",
"4": "四;",
"5": "五;",
"6": "六;",
"7": "七;",
"8": "八;",
"9": "九;",
"(10, 19)": "十[>>];",
"(20, 99)": "<<十[>>];",
"(100, 999)": "<<百[>%%number2>];",
"(1000, 9999)": "<<千[>%%number3>];",
"(10000, 99999999)": "<<万[>%%number4>];",
"(100000000, 999999999999)": "<<亿[>%%number5>];",
"(1000000000000, 9999999999999999)": "<<兆[>%%number8>];",
"(10000000000000000, 999999999999999999)": "<<京[>%%number13>];",
"(1000000000000000000, 'inf')": "=#,##0=;"
},
"%spellout-numbering-days": {
"0": "〇;",
"(1, 10)": "初=%spellout-numbering=;",
"(11, 20)": "=%spellout-numbering=;",
"(21, 'inf')": "=%%numbering-days=;"
},
"%spellout-numbering-year": {
"(0, 999)": "=%spellout-numbering=;",
"(1000, 9999)": "=%%spellout-numbering-year-digits=;",
"(10000, 'inf')": "=%spellout-numbering=;"
},
"%spellout-ordinal": {
"(0, 'inf')": "第=%spellout-numbering=;"
},
"cardinal-alternate2-13": {
"(1, 'inf')": "零=%spellout-numbering=;"
},
"cardinal13": {
"(1, 'inf')": "零=%spellout-numbering=;"
},
"financialnumber13": {
"(1, 'inf')": "零=%spellout-cardinal-financial=;"
},
"number13": {
"(1, 'inf')": "〇=%spellout-numbering=;"
},
"spellout-cardinal-alternate2": {
"(2, 'inf')": "两;"
}
}
| 36.292776 | 86 | 0.454374 | 829 | 9,545 | 5.231604 | 0.13269 | 0.210284 | 0.138344 | 0.038045 | 0.459534 | 0.334794 | 0.280148 | 0.264007 | 0.256629 | 0.256629 | 0 | 0.16543 | 0.251441 | 9,545 | 262 | 87 | 36.431298 | 0.439048 | 0.0022 | 0 | 0.325671 | 0 | 0 | 0.627494 | 0.363894 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
1813a5c1d3d1d900ef7f6d0d5ffdbad09e80ed1a | 5,842 | py | Python | idaes/generic_models/properties/core/reactions/tests/test_rate_forms.py | carldlaird/idaes-pse | cc7a32ca9fa788f483fa8ef85f3d1186ef4a596f | [
"RSA-MD"
] | 112 | 2019-02-11T23:16:36.000Z | 2022-03-23T20:59:57.000Z | idaes/generic_models/properties/core/reactions/tests/test_rate_forms.py | carldlaird/idaes-pse | cc7a32ca9fa788f483fa8ef85f3d1186ef4a596f | [
"RSA-MD"
] | 621 | 2019-03-01T14:44:12.000Z | 2022-03-31T19:49:25.000Z | idaes/generic_models/properties/core/reactions/tests/test_rate_forms.py | carldlaird/idaes-pse | cc7a32ca9fa788f483fa8ef85f3d1186ef4a596f | [
"RSA-MD"
] | 154 | 2019-02-01T23:46:33.000Z | 2022-03-23T15:07:10.000Z | #################################################################################
# The Institute for the Design of Advanced Energy Systems Integrated Platform
# Framework (IDAES IP) was produced under the DOE Institute for the
# Design of Advanced Energy Systems (IDAES), and is copyright (c) 2018-2021
# by the software owners: The Regents of the University of California, through
# Lawrence Berkeley National Laboratory, National Technology & Engineering
# Solutions of Sandia, LLC, Carnegie Mellon University, West Virginia University
# Research Corporation, et al. All rights reserved.
#
# Please see the files COPYRIGHT.md and LICENSE.md for full copyright and
# license information.
#################################################################################
"""
Tests for rate forms
"""
import pytest
from pyomo.environ import Block, ConcreteModel, Var, units as pyunits
from idaes.generic_models.properties.core.generic.generic_reaction import \
GenericReactionParameterBlock, ConcentrationForm
from idaes.generic_models.properties.core.reactions.rate_forms import *
from idaes.core.util.testing import PhysicalParameterTestBlock
from idaes.core.util.misc import add_object_reference
@pytest.mark.unit
def test_power_law_rate_no_order():
m = ConcreteModel()
# # Add a test thermo package for validation
m.pparams = PhysicalParameterTestBlock()
m.thermo = m.pparams.build_state_block([1])
m.rparams = GenericReactionParameterBlock(default={
"property_package": m.pparams,
"base_units": {"time": pyunits.s,
"mass": pyunits.kg,
"amount": pyunits.mol,
"length": pyunits.m,
"temperature": pyunits.K},
"rate_reactions": {
"r1": {"stoichiometry": {("p1", "c1"): -1,
("p1", "c2"): 2},
"rate_form": power_law_rate,
"concentration_form": ConcentrationForm.moleFraction}}})
# Create a dummy state block
m.rxn = Block([1])
add_object_reference(
m.rxn[1], "phase_component_set", m.pparams._phase_component_set)
add_object_reference(m.rxn[1], "params", m.rparams)
add_object_reference(m.rxn[1], "state_ref", m.thermo[1])
m.rxn[1].k_rxn = Var(["r1"], initialize=1)
power_law_rate.build_parameters(
m.rparams.reaction_r1, m.rparams.config.rate_reactions["r1"])
# Check parameter construction
assert isinstance(m.rparams.reaction_r1.reaction_order, Var)
assert len(m.rparams.reaction_r1.reaction_order) == 4
for i, v in m.rparams.reaction_r1.reaction_order.items():
try:
stoic = m.rparams.config.rate_reactions.r1.stoichiometry[i]
except KeyError:
stoic = 0
if stoic < 1:
assert v.value == -stoic
else:
assert v.value == 0
# Check reaction form
rform = power_law_rate.return_expression(
m.rxn[1], m.rparams.reaction_r1, "r1", 300)
assert str(rform) == str(
m.rxn[1].k_rxn["r1"] *
m.thermo[1].mole_frac_phase_comp["p1", "c1"] **
m.rparams.reaction_r1.reaction_order["p1", "c1"])
@pytest.mark.unit
def test_power_law_rate_with_order():
m = ConcreteModel()
# # Add a test thermo package for validation
m.pparams = PhysicalParameterTestBlock()
m.thermo = m.pparams.build_state_block([1])
m.rparams = GenericReactionParameterBlock(default={
"property_package": m.pparams,
"base_units": {"time": pyunits.s,
"mass": pyunits.kg,
"amount": pyunits.mol,
"length": pyunits.m,
"temperature": pyunits.K},
"rate_reactions": {
"r1": {"stoichiometry": {("p1", "c1"): -1,
("p1", "c2"): 2},
"rate_form": power_law_rate,
"concentration_form": ConcentrationForm.moleFraction,
"parameter_data": {
"reaction_order": {("p1", "c1"): 1,
("p1", "c2"): 2,
("p2", "c1"): 3,
("p2", "c2"): 4}}}}})
# Create a dummy state block
m.rxn = Block([1])
add_object_reference(
m.rxn[1], "phase_component_set", m.pparams._phase_component_set)
add_object_reference(m.rxn[1], "params", m.rparams)
add_object_reference(m.rxn[1], "state_ref", m.thermo[1])
m.rxn[1].k_rxn = Var(["r1"], initialize=1)
power_law_rate.build_parameters(
m.rparams.reaction_r1, m.rparams.config.rate_reactions["r1"])
# Check parameter construction
assert isinstance(m.rparams.reaction_r1.reaction_order, Var)
assert len(m.rparams.reaction_r1.reaction_order) == 4
assert m.rparams.reaction_r1.reaction_order["p1", "c1"].value == 1
assert m.rparams.reaction_r1.reaction_order["p1", "c2"].value == 2
assert m.rparams.reaction_r1.reaction_order["p2", "c1"].value == 3
assert m.rparams.reaction_r1.reaction_order["p2", "c2"].value == 4
# Check reaction form
rform = power_law_rate.return_expression(
m.rxn[1], m.rparams.reaction_r1, "r1", 300)
assert str(rform) == str(
m.rxn[1].k_rxn["r1"] * (
m.thermo[1].mole_frac_phase_comp["p1", "c1"] **
m.rparams.reaction_r1.reaction_order["p1", "c1"] *
m.thermo[1].mole_frac_phase_comp["p1", "c2"] **
m.rparams.reaction_r1.reaction_order["p1", "c2"] *
m.thermo[1].mole_frac_phase_comp["p2", "c1"] **
m.rparams.reaction_r1.reaction_order["p2", "c1"] *
m.thermo[1].mole_frac_phase_comp["p2", "c2"] **
m.rparams.reaction_r1.reaction_order["p2", "c2"]))
| 40.013699 | 81 | 0.5962 | 701 | 5,842 | 4.788873 | 0.238231 | 0.059577 | 0.085791 | 0.096515 | 0.748883 | 0.748883 | 0.706583 | 0.704796 | 0.554662 | 0.554662 | 0 | 0.029412 | 0.24923 | 5,842 | 145 | 82 | 40.289655 | 0.735978 | 0.144985 | 0 | 0.597938 | 0 | 0 | 0.088639 | 0 | 0 | 0 | 0 | 0 | 0.123711 | 1 | 0.020619 | false | 0 | 0.061856 | 0 | 0.082474 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 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 | 3 |
182c8d361b05a3870102076dd21ec42104903358 | 144 | py | Python | lambda/helloworld.py | binxio/blog-lambda-python-37-runtime | bd4c228f0aee64a0ae5d5a6287c530be834fe930 | [
"Apache-2.0"
] | null | null | null | lambda/helloworld.py | binxio/blog-lambda-python-37-runtime | bd4c228f0aee64a0ae5d5a6287c530be834fe930 | [
"Apache-2.0"
] | null | null | null | lambda/helloworld.py | binxio/blog-lambda-python-37-runtime | bd4c228f0aee64a0ae5d5a6287c530be834fe930 | [
"Apache-2.0"
] | null | null | null | import json
def handler(event: dict, context) -> dict:
return {
'statusCode': 200,
'body': json.dumps('Hello World')
} | 18 | 42 | 0.569444 | 16 | 144 | 5.125 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.029126 | 0.284722 | 144 | 8 | 43 | 18 | 0.76699 | 0 | 0 | 0 | 0 | 0 | 0.172414 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.166667 | 0.166667 | 0.5 | 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 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 |
1871e9130f89b538c72d2dcb47979a5ca024971f | 113 | py | Python | deployment/uwsgi/wsgi.py | victorskl/gen3-indexd | c22ffb1f1472e0732d3b44cd39b1241ff8156cc6 | [
"Apache-2.0"
] | 11 | 2018-05-31T06:29:44.000Z | 2020-10-21T14:09:36.000Z | deployment/uwsgi/wsgi.py | victorskl/gen3-indexd | c22ffb1f1472e0732d3b44cd39b1241ff8156cc6 | [
"Apache-2.0"
] | 171 | 2017-11-13T16:56:35.000Z | 2022-03-29T19:37:35.000Z | deployment/uwsgi/wsgi.py | victorskl/gen3-indexd | c22ffb1f1472e0732d3b44cd39b1241ff8156cc6 | [
"Apache-2.0"
] | 25 | 2018-03-06T19:03:24.000Z | 2021-11-27T19:39:49.000Z | from indexd import get_app
import os
os.environ["INDEXD_SETTINGS"] = "/var/www/indexd/"
application = get_app()
| 18.833333 | 50 | 0.752212 | 17 | 113 | 4.823529 | 0.647059 | 0.146341 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.115044 | 113 | 5 | 51 | 22.6 | 0.82 | 0 | 0 | 0 | 0 | 0 | 0.274336 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
18740bcecea258c86fbe06939d7387c41561ca8e | 2,308 | py | Python | qrainbowstyle/colorsystem.py | desty2k/QDarkStyleSheet | 4a8cd42acf5e9e7fce5fabbe37b1f97d89d203b2 | [
"CC-BY-4.0"
] | 10 | 2020-12-10T08:11:16.000Z | 2022-03-30T09:29:34.000Z | qrainbowstyle/colorsystem.py | desty2k/QDarkStyleSheet | 4a8cd42acf5e9e7fce5fabbe37b1f97d89d203b2 | [
"CC-BY-4.0"
] | 3 | 2021-05-21T15:04:10.000Z | 2022-02-13T20:26:59.000Z | qrainbowstyle/colorsystem.py | desty2k/QDarkStyleSheet | 4a8cd42acf5e9e7fce5fabbe37b1f97d89d203b2 | [
"CC-BY-4.0"
] | 2 | 2021-02-27T16:08:47.000Z | 2022-02-22T15:05:10.000Z | # colorsystem.py is the full list of colors that can be used to easily create themes.
class Gray:
B0 = '#000000'
B10 = '#19232D'
B20 = '#293544'
B30 = '#37414F'
B40 = '#455364'
B50 = '#54687A'
B60 = '#60798B'
B70 = '#788D9C'
B80 = '#9DA9B5'
B90 = '#ACB1B6'
B100 = '#B9BDC1'
B110 = '#C9CDD0'
B120 = '#CED1D4'
B130 = '#E0E1E3'
B140 = '#FAFAFA'
B150 = '#FFFFFF'
class Blue:
B0 = '#000000'
B10 = '#062647'
B20 = '#26486B'
B30 = '#375A7F'
B40 = '#346792'
B50 = '#1A72BB'
B60 = '#057DCE'
B70 = '#259AE9'
B80 = '#37AEFE'
B90 = '#73C7FF'
B100 = '#9FCBFF'
B110 = '#C2DFFA'
B120 = '#CEE8FF'
B130 = '#DAEDFF'
B140 = '#F5FAFF'
B150 = '##FFFFFF'
class Green:
B0 = '#000000'
B10 = '#064738'
B20 = '#055C49'
B30 = '#007A5E'
B40 = '#008760'
B50 = '#019D70'
B60 = '#02BA85'
B70 = '#20C997'
B80 = '#44DEB0'
B90 = '#3BEBB7'
B100 = '#88F2D3'
B110 = '#B0F5E1'
B120 = '#D1FBEE'
B130 = '#E4FFF7'
B140 = '#F5FFFD'
B150 = '#FFFFFF'
class Red:
B0 = '#000000'
B10 = '#470606'
B20 = '#760B0B'
B30 = '#AF0F0F'
B40 = '#D4140B'
B50 = '#DE321F'
B60 = '#E24232'
B70 = '#E74C3C'
B80 = '#F66657'
B90 = '#F88478'
B100 = '#FFACA4'
B110 = '#FFC3BD'
B120 = '#FEDDDA'
B130 = '#FFEEEE'
B140 = '#FFF5F5'
B150 = '#FFFFFF'
class Orange:
B0 = '#000000'
B10 = '#471D06'
B20 = '#692907'
B30 = '#AB3E00'
B40 = '#CE4B01'
B50 = '#E05E15'
B60 = '#E57004'
B70 = '#F37E12'
B80 = '#FF993B'
B90 = '#FFB950'
B100 = '#FFCF84'
B110 = '#FFDDA7'
B120 = '#FFEACA'
B130 = '#FFF3E2'
B140 = '#FFFBF5'
B150 = '#FFFFFF'
class GroupDark:
B10 = '#E11C1C'
B20 = '#FF8A00'
B30 = '#88BA00'
B40 = '#2DB500'
B50 = '#3FC6F0'
B60 = '#107EEC'
B70 = '#5C47E0'
B80 = '#7F27C5'
B90 = '#C88AFA'
B100 = '#AF2294'
B110 = '#DB4D8E'
B120 = '#38D4A4'
class GroupLight:
B10 = '#FF6700'
B20 = '#FFB000'
B30 = '#FFE600'
B40 = '#7FDD05'
B50 = '#00A585'
B60 = '#22BCF2'
B70 = '#1256CC'
B80 = '#803AD0'
B90 = '#B568F2'
B100 = '#CC2782'
B110 = '#FF71BF'
B120 = '#7EE8C7'
| 18.31746 | 85 | 0.480936 | 238 | 2,308 | 4.663866 | 0.571429 | 0.036036 | 0.04955 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.374105 | 0.334055 | 2,308 | 125 | 86 | 18.464 | 0.348081 | 0.035962 | 0 | 0.081081 | 0 | 0 | 0.327935 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
1878dfab3e7da20bc7f22218e3c0e340b2516a2b | 252 | py | Python | pull_backup/__init__.py | MochaTechnologies/pull_backup | 7310eac2e73fd360a264b2fb9e83a58cbb4f7ffb | [
"MIT"
] | 2 | 2021-07-29T05:36:09.000Z | 2021-11-15T11:45:22.000Z | pull_backup/__init__.py | MochaTechnologies/pull_backup | 7310eac2e73fd360a264b2fb9e83a58cbb4f7ffb | [
"MIT"
] | null | null | null | pull_backup/__init__.py | MochaTechnologies/pull_backup | 7310eac2e73fd360a264b2fb9e83a58cbb4f7ffb | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import frappe
__version__ = '0.0.1'
@frappe.whitelist()
def download_backup(filename):
from frappe.utils.response import download_backup
return download_backup("/backups/"+filename)
| 19.384615 | 50 | 0.765873 | 32 | 252 | 5.65625 | 0.65625 | 0.232044 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017937 | 0.115079 | 252 | 12 | 51 | 21 | 0.793722 | 0.083333 | 0 | 0 | 0 | 0 | 0.061404 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.428571 | 0 | 0.714286 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
18800ca8ce96ae7d03620bf76730cf19f9e7ceff | 67 | py | Python | savethepages/connection.py | MichaelCurrin/save-the-pages | 6e4bb572b3d1168f45dc198da69ea2c5f4806153 | [
"MIT"
] | null | null | null | savethepages/connection.py | MichaelCurrin/save-the-pages | 6e4bb572b3d1168f45dc198da69ea2c5f4806153 | [
"MIT"
] | 1 | 2019-11-22T11:34:18.000Z | 2019-11-22T11:34:18.000Z | savethepages/connection.py | MichaelCurrin/save-the-pages | 6e4bb572b3d1168f45dc198da69ea2c5f4806153 | [
"MIT"
] | null | null | null | """
Connection module.
"""
from lib import connect
DB = connect()
| 9.571429 | 23 | 0.671642 | 8 | 67 | 5.625 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.179104 | 67 | 6 | 24 | 11.166667 | 0.818182 | 0.268657 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
1881dd0e6574bc142c837c27bfc9d9ae67a9bca6 | 808 | py | Python | greentest/test__ares_host_result.py | Eugeny/gevent | adb7b838ed66c13abe5059605730bb4b4531bbcd | [
"MIT"
] | 2 | 2015-12-19T01:34:43.000Z | 2018-02-02T12:32:01.000Z | greentest/test__ares_host_result.py | Eugeny/gevent | adb7b838ed66c13abe5059605730bb4b4531bbcd | [
"MIT"
] | null | null | null | greentest/test__ares_host_result.py | Eugeny/gevent | adb7b838ed66c13abe5059605730bb4b4531bbcd | [
"MIT"
] | 2 | 2019-11-24T12:11:50.000Z | 2020-12-26T19:00:20.000Z | import pickle
import greentest
from gevent.ares import ares_host_result
class TestPickle(greentest.TestCase):
# Issue 104: ares.ares_host_result unpickleable
def _test(self, protocol):
r = ares_host_result('family', ('arg1', 'arg2', ))
dumped = pickle.dumps(r, protocol)
loaded = pickle.loads(dumped)
assert r == loaded, (r, loaded)
assert r.family == loaded.family, (r, loaded)
def test0(self):
return self._test(0)
def test1(self):
return self._test(1)
def test2(self):
return self._test(2)
if pickle.HIGHEST_PROTOCOL == 3:
def test3(self):
return self._test(3)
else:
assert pickle.HIGHEST_PROTOCOL == 2, pickle.HIGHEST_PROTOCOL
if __name__ == '__main__':
greentest.main()
| 23.764706 | 68 | 0.631188 | 101 | 808 | 4.831683 | 0.405941 | 0.081967 | 0.114754 | 0.147541 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.024958 | 0.256188 | 808 | 33 | 69 | 24.484848 | 0.787022 | 0.055693 | 0 | 0 | 0 | 0 | 0.028909 | 0 | 0 | 0 | 0 | 0 | 0.130435 | 1 | 0.217391 | false | 0 | 0.130435 | 0.173913 | 0.565217 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
43e6d5db8390c0b23e43f94230f0d63124922d1e | 27,020 | py | Python | _build/jupyter_execute/ipynb/01a-introducao.py | gcpeixoto/FMECD | 9bca72574c6630d1594396fffef31cfb8d58dec2 | [
"CC0-1.0"
] | null | null | null | _build/jupyter_execute/ipynb/01a-introducao.py | gcpeixoto/FMECD | 9bca72574c6630d1594396fffef31cfb8d58dec2 | [
"CC0-1.0"
] | null | null | null | _build/jupyter_execute/ipynb/01a-introducao.py | gcpeixoto/FMECD | 9bca72574c6630d1594396fffef31cfb8d58dec2 | [
"CC0-1.0"
] | null | null | null | # Introdução à Ciência de Dados
## Ciência de dados no século XXI
A dinâmica do mundo globalizado elevou a importância dos dados e da informação a uma
escala jamais vista na história humana em virtude da evolução exponencial dos recursos tecnológicos, dos meios de comunicação e, principalmente, da computação de alto desempenho. Está em vigor a *Era da Informação*, em que os dados são considerados a matéria-prima imprescindível.
Assim como a terra era o recurso fundamental para a agricultura, e o ferro o era para a indústria, os dados tornaram-se um bem de valor inestimável para pessoas, empresas, governos e para a própria ciência. Com a expansão do fenômeno *Big Data*, diversos nichos do conhecimento começaram a eclodir trazendo consigo uma série de nomes elegantes, tais como *business intelligence*, *data analytics*, *data warehouse* e *data engineering*.
Apesar disso, *ciência de dados* desponta-se como o conceito mais razoável para denotar o aspecto científico dos dados. Em um contexto acadêmico, ela encontra-se na interseção de outras áreas do conhecimento e no cerne de uma cadeia maior envolvendo gestão de processos e o pensamento científico.
É difícil estabelecer um modelo holístico unificado que traduza de maneira exata a capilaridade da ciência de dados nas atividades modernas. Diante disso, a Figura abaixo tenta ilustrar, para nossos propósitos, como a ciência de dados relaciona-se com outros domínios do conhecimento de maneira multidisciplinar.
```{figure} ../figs/01/cycle-ds.png
---
width: 300px
name: cycle-ds
---
Modelo holístico da ciência de dados.
```
O diagrama mostrado na {numref}`cycle-ds` possui três camadas. A camada mais interna mostra como áreas do conhecimento tradicionais se intersectam para dar forma ao que chamamos de *ciência de dados*. Aqui, enfatizamos três grandes conjuntos:
1. **Matemática/Estatística**, que fornece os modelos matemáticos e estatísticos fundamentais para estudo, análise e inferência de dados, aos quais se agregam as técnicas de aprendizagem de máquina;
2. **Ciência da Computação/Engenharia de Software**, que fornece elementos básicos de hardware e software para projetar soluções de intercâmbio, armazenamento e segurança de dados, por exemplo.
3. **Conhecimento do Domínio/Expertise**, que é o próprio ramo de aplicação do conhecimento que está sendo buscado através dos dados em questão, ao qual se aderem o *data reporting*, a inteligência de negócios, o *marketing* e a comunicação de dados em geral para suporte à tomada de decisões.
A camada intermediária relaciona-se à gestão de processos da cadeia de dados, que envolvem governança, curadoria, armazenamento e reuso de dados, por exemplo, isto é, todos os aspectos relacionados à preservação, manutenção, destruição e compartilhamento de dados.
No invólucro mais externo, temos a camada relativa ao método científico de busca de soluções para um dado problema. Com alguma adaptação, os processos envolvidos nesta camada representam de maneira satisfatória tanto a ideia de *soluções dirigidas por dados* (*data-driven solutions*) amplamente utilizada em contextos empresariais e industriais, em que ferramentas inovadoras são construídas para entregar produtos e soluções especialmente voltadas a um segmento ou público particular com base em um cuidadoso mapeamento de clientes, quanto o compartilhamento e reprodutibilidade da pesquisa científica. Em linhas gerais, este ciclo contém os seguintes processos:
1. **Definição do problema**, etapa em que uma "grande pergunta" é feita, a qual, a princípio, pode ser respondida ao se vasculhar um conjunto de dados específico.
2. **Aquisição de dados**, etapa em que se coleta toda a informação relacionada ao problema lançado na etapa anterior.
3. **Processamento de dados**, etapa em que os dados adquiridos são processados para análise. Nesta etapa realiza-se um verdadeiro tratamento dos dados (limpeza, formatação e organização).
4. **Análise de dados**, etapa em que os dados são analisados e perscrutados por meio de técnicas de mineração, agrupamento e clusterização. Neste momento é que testes de hipótese e mecanismos de inferência são utilizados.
5. **Descoberta de dados**, etapa em que descobertas são realizadas, tais como correlações entre variáveis, comportamentos distintivos e tendências claramente identificáveis, permitindo que conhecimento seja gerado a partir da informação.
6. **Solução**, etapa final do ciclo na qual as descobertas podem ser convertidas em produtos e ativos de valor agregado para o domínio do problema proposto.
### O caso da COVID-19
A pandemia causada pela COVID-19 que assolou o mundo recentemente pode ser tomada como um estudo de caso singular de aplicação do processo de análise de dados citado na seção anterior. Sob o ponto de vista científico, poderíamos levantar várias questões acerca do vírus no que diz respeito à velocidade de contágio, ao impacto em atividades econômicas, às alterações no comportamento social, entre outras.
Modelos epidemiológicos apontam que a interação entre pessoas é um dos principais mecanismos de transmissão viral. A partir dessa premissa e levando em consideração o nosso país, uma pergunta que poderíamos fazer a fim de nortear uma pesquisa em ciência de dados seria: _a taxa de contágio do vírus em pessoas vivendo próximas de um centro comercial localizado em uma zona rural é menor do do que em pessoas vivendo próximas de um centro comercial localizado em uma zona urbana?_. É evidente que, para responder uma pergunta como esta com precisão científica, necessitaríamos de definições e muitos dados. Como delimitaríamos a zona urbana? O centro comercial deveria ser caracterizado como um conjunto de lojas de pequeno porte? Feiras? Um local de comércio onde, diariamente, circulam 100 pessoas por hora? Além disso, neste caso, como faríamos para coletar as informações de que precisamos? No banco de dados do IBGE? No DATASUS?
A aquisição de dados pode ser uma tarefa mais difícil do que se imagina. No caso em questão, certamente buscaríamos informações em bancos de dados do setor público, de secretarias municipais, de órgãos estaduais, até instituições especializadas em âmbito federal. Entretanto, no caso do Brasil, nem todas as regiões – quiçá o país inteiro – usufruem de bancos de dados amplos e precisos onde variáveis primárias necessárias para a análise de dados sejam facilmente obtidas.
Supondo que tenhamos em mãos as informações de saúde acerca dos habitantes das zonas rural e urbana necessárias para nossa pesquisa sobre a COVID-19, o outro passo a tomar é o processamento dos dados. De que maneira o banco de dados se apresenta? Como uma infinidade de planilhas de Excel sem nenhuma formatação específica? Arquivos .csv estruturados e categorizados por faixa etária, município, densidade populacional? Toda a informação é hierárquica em arquivos HDF5?
Para cada situação, devemos dispor de ferramentas específicas e adequadas para manipular, organizar, limpar e estruturar os dados. Todo este tratamento dos dados ocorre, em geral, por duas vias: soluções pré-existentes (programas, recursos, interfaces, frameworks, projetos _open source_ etc. já disponíveis no mercado ou na academia) ou soluções customizadas, criadas pelo cientista de dados para o atendimento de demandas específicas não cobertas pelas soluções pré-existentes.
Uma vez processados, os dados atingem uma condição minimamente razoável para serem escrutinados, isto é, analisados minuciosamente. Nesta fase, o intelecto de quem analisa os dados está a todo vapor, visto que um misto de conhecimento técnico, experiência, e criatividade são os ingredientes para realizar descobertas. Os dados são levados de um lado para outro, calculam-se expressões matemática aqui e acolá, testes estatísticos são feitos uma, duas, três, n vezes, até que conclusões surpreendentes podem aparecer.
A propagação de um vírus é um fenômeno não linear suscetível a dinâmicas quase imprevisíveis. Portanto, ao procurarmos a resposta para uma pergunta difícil como a que pusemos acima, pode ser que descubramos padrões e tendências que sequer cogitávamos capazes de responder até mesmo perguntas para outros problemas. Poderíamos chegar à conclusão, por exemplo, que a taxa de contágio na zona urbana é afetada pelas características arquitetônicas do centro comercial: arejamento deficiente, corredores de movimentação estreitos, pontos de venda altamente concentrados, etc.
Ao final do ciclo, espera-se que respostas sejam obtidas para que soluções sejam propostas e decisões tomadas com responsabilidade. Quando o assunto é a saúde de pessoas, questões éticas e morais tornam-se extremamente sensíveis. O papel de cientistas e analistas de dados em situações particulares como a da COVID-19 é munir gestores e líderes com recomendações resultantes das evidências mostradas pelos dados. Todavia, é importante dizer que modelos matemáticos são estimativas da realidade e também possuem graus de falibilidade. Portanto, equilibrar as descobertas com o peso das decisões é essencial para o alcance de soluções adequadas.
Diversos projetos focados em ciência e análise de dados focados no estudo da COVID-19 estão atualmente em curso no mundo. Um dos pioneiros foi o _Coronavirus Resource Center_ da _John Hopkins University_ [[CRC-JHU]](https://coronavirus.jhu.edu/map.html). Iniciativas no Brasil são as seguintes: _Observatório Covid-19 BR_ [[COVID19BR]](https://covid19br.github.io/index.html), _Observatório Covid-19 Fiocruz_ [[FIOCRUZ]](https://portal.fiocruz.br/observatorio-covid-19), CoronaVIS-UFRGS [[CoronaVIS-UFRGS]](https://covid19.ufrgs.dev/dashboard/#/dashboard), CovidBR-UFCG [[CovidBR-UFCG]](http://covid.lsi.ufcg.edu.br), entre outras. Na UFPB, destacamos a página do LEAPIG [[LEAPIG-UFPB]](http://www.de.ufpb.br/~leapig/projetos/covid_19.html#PB). Certamente, a COVID-19 deverá se consagrar como um dos maiores estudos de caso da história mundial para a ciência e análise de dados, haja vista o poder computacional de nossos dias.
### Cientista de dados x analista de dados x engenheiro de dados
As carreiras profissionais neste novo mundo dos dados converteram-se em muitas especialidades. Há três perfis, em particular, sobre os quais gostaríamos de comentar: _o cientista de dados_, o _analista de dados_ e o _engenheiro de dados_. Porém, antes de entrar nesta "sopa de letrinhas", vale a pena entender um pouco sobre como a ciência de dados, como um todo, é compreendida pelas pessoas mundo afora.
Nos Estados Unidos, um esforço conjunto entre representantes da universidade, do poder público, da indústria e de outros segmentos culminou na publicação especial No. 1500-1 (2015) do _National Institute of Standards and Technology_ (NIST), que definiu diversos conceitos relacionados à ciência de dados [[NIST 1500-1 (2015)]](https://bigdatawg.nist.gov/_uploadfiles/NIST.SP.1500-1.pdf). Segundo este documento,
> _"**Cientista de dados** é um profissional que tem conhecimentos suficientes sobre necessidades de negócio, domínio do conhecimento, além de possuir habilidades analíticas, de software e de engenharia de sistemas para gerir, de ponta a ponta, os processos envolvidos no ciclo de vida dos dados."_
Como se vê, a identidade do cientista de dados é definida por uma interseção de competências. Todas essas competências estão distribuídas, de certa forma, nas três grandes áreas do conhecimento que citamos acima. Por outro lado, o que exatamente é a _ciência de dados_?
De acordo com o mesmo documento,
> _"**Ciência de dados** é a extração do conhecimento útil diretamente a partir de dados através de um processo de descoberta ou de formulação e teste de hipóteses."_
A partir disso, percebemos que _informação_ não é sinônimo de _conhecimento_. Para termos uma clareza melhor dessa distinção, basta refletirmos sobre nosso uso diário do celular. O número de mensagens de texto, de fotos, áudios e vídeos que trocamos com outras pessoas por meio de aplicativos de mensagem instantânea, redes sociais ou e-mail é gigantesco. Quantos de nós não passamos pela necessidade de apagar conteúdo salvo em nosso celular para liberar espaço! Às vezes, não temos ideia de quanta informação trocamos por minuto com três ou quatro colegas. A questão central é: de toda essa informação, que fração seria considerada útil? Isto é, o que poderíamos julgar como conhecimento aproveitável? A resposta talvez seja um incrível "nada"...
Portanto, ter bastante informação à disposição não significa, necessariamente, possuir conhecimento. Da mesma forma que estudar para aprender é um exercício difícil para o cérebro, garimpar conhecimento em meio a um mar de informação é uma tarefa que exige paciência, análise, raciocínio dedutivo e criatividade. Por falar em análise de dados, vamos entender um pouco sobre o termo _analytics_, frequentemente utilizado no mercado de trabalho.
_Analytics_ pode ser traduzido literalmente como "análise" e, segundo o documento NIST 1500-1, é definido como o "processo de sintetizar conhecimento a partir da informação". Diante disso, podemos dizer que
> _"**Analista de dados** é o profissional capaz de sintetizar conhecimento a partir da informação e convertê-lo em ativo exploráveis."_
Uma terceira vertente que surgiu com a evolução do _Big Data_ foi a _engenharia de dados_, que tem por objetivo projetar ferramentas, dispositivos e sistemas com robustez suficiente para lidar com a grande massa de dados em circulação. Podemos dizer que
> _"**Engenheiro(a) de dados** é o(a) profissional que explora recursos independentes para construir sistemas escaláveis capazes de armazenar, manipular e analisar dados com eficiência e e desenvolver novas arquiteturas sempre que a natureza do banco de dados exigi-las."_
Embora essas três especializações possuam características distintivas, elas são tratadas como partes de um corpo maior, que é a Ciência de Dados. O projeto [EDISON](https://edison-project.eu), coordenado pela Universidade de Amsterdã, Holanda, por exemplo, foi responsável por mapear definições e taxonomias para construir grupos profissionais em ciência de dados para ocuparem posições em centros de pesquisa e indústrias na Europa. De acordo com o _EDISON Data Science Framework_ [[EDSF]](https://edison-project.eu/sites/edison-project.eu/files/attached_files/node-5/edison2017poster02-dsp-profiles-v03.pdf), os grupos profissionais se dividem entre gerentes (CEOs, líderes de pesquisa), profissionais gerais (analista de negócios, engenheiros de dados etc.), profissionais de banco de dados (designer de computação em nuvem, designer de banco de dados etc.), profissionais de curadoria (bibliotecários, arquivistas etc.), profissionais técnicos (operadores de equipamentos, mantenedores de _warehouses_ etc.) e profissionais de apoio (suporte a usuários, alimentadores de sistemas, atendentes etc.).
#### Quem faz o quê?
Resumimos a seguir as principais tarefas atribuídas a cientistas, analistas e engenheiros(as) de dados com base em artigos de canais especializados [[DataQuest]](https://www.dataquest.io/blog/data-analyst-data-scientist-data-engineer/), [[NCube]](https://ncube.com/blog/data-engineer-data-scientist-data-analyst-what-is-the-difference), [[Medium]](https://medium.com/@gdesantis7/decoding-the-data-scientist-51b353a01443), [[Data Science Academy]](http://datascienceacademy.com.br/blog/qual-a-diferenca-entre-cientista-de-dados-e-engenheiro-de-machine-learning/), [[Data Flair]](https://data-flair.training/blogs/data-scientist-vs-data-engineer-vs-data-analyst/). Uma característica importante entre os perfis diz respeito à organização dos dados. Enquanto cientistas e analistas de dados lidam com dados _estruturados_ – dados organizados e bem definidos que permitem fácil pesquisa –, engenheiros(as) de dados trabalham com dados _não estruturados_.
##### Cientista de dados
- Realiza o pré-processamento, a transformação e a limpeza dos dados;
- Usa ferramentas de aprendizagem de máquina para descobrir padrões nos dados;
- Aperfeiçoa e otimiza algoritmos de aprendizagem de máquina;
- Formula questões de pesquisa com base em requisitos do domínio do conhecimento;
##### Analista de dados
- Analisa dados por meio de estatística descritiva;
- Usa linguagens de consulta a banco de dados para recuperar e manipular a informação;
- Confecciona relatórios usando visualização de dados;
- Participa do processo de entendimento de negócios;
##### Engenheiro(a) de dados
- Desenvolve, constroi e mantém arquiteturas de dados;
- Realiza testes de larga escala em plataformas de dados;
- Manipula dados brutos e não estruturados;
- Desenvolve _pipelines_ para modelagem, mineração e produção de dados
- Cuida do suporte a cientistas e analistas de dados;
#### Que ferramentas são usadas?
As ferramentas usadas por cada um desses profissionais são variadas e evoluem constantemente. Na lista a seguir, citamos algumas.
##### Cientista de dados
- R, Python, Hadoop, Ferramentas SQL (Oracle, PostgreSQL, MySQL etc.)
- Álgebra, Estatística, Aprendizagem de Máquina
- Ferramentas de visualização de dados
##### Analista de dados
- R, Python,
- Excel, Pandas
- Ferramentas de visualização de dados (Tableau, Infogram, PowerBi etc.)
- Ferramentas para relatoria e comunicação
##### Engenheiro(a) de dados
- Ferramentas SQL e noSQL (Oracle NoSQL, MongoDB, Cassandra etc.)
- Soluções ETL - Extract/Transform/Load (AWS Glue, xPlenty, Stitch etc.)
- Python, Scala, Java etc.
- Spark, Hadoop etc.
### Matemática por trás dos dados
No mundo real, lidamos com uma grande diversidade de dados, mas nem sempre percebemos como a Matemática atua por trás de cada pedacinho da informação. Ao longo da sua graduação em ciência de dados, você aprenderá conceitos abstratos novos e trabalhará com mais profundidade outros que já conhece, tais como vetor e matriz.
Você provavelmente já deve ter ouvido falar que o computador digital funciona com uma linguagem _binária_ cujas mensagens são todas codificadas como sequencias dos dígitos 0 e 1. Daí que vem o nome _bit_, um acrônimo para _binary digit_, ou dígito binário.
Em termos de _bits_, a frase "Ciência de dados é legal!", por exemplo, é escrita como
`1000011110100111101010110111011000111101001110000110000011001001100101
1000001100100110000111001001101111111001110000011101001100000110110011001
01110011111000011101100100001`.
Interessante, não? Vejamos outros exemplos.
Nas aulas de Física, você aprendeu que um vetor possui uma origem e uma extremidade. Tanto a origem como a extremidade são "pontos" do espaço. Agora, imagine um plano cartesiano. Se a sua origem é o ponto $O = (0,0)$ e a sua extremidade é o ponto $B = (2,0)$, você pode traçar um vetor de $O$ a $B$ andando duas unidades para a direita. Claramente, este vetor estará sobre o eixo das abscissas. Imagine que você pudesse então usar cada unidade como se fosse uma "caixa" onde pudesse "guardar" uma informação sobre você. Ou seja, em $O = (0,0)$ você coloca seu nome, em $A = (0,1)$ a sua idade e em $B = (0,2)$ seu CPF. Você teria um "vetor" com 3 valores. Além disso, suponha que você pudesse fazer o mesmo para mais 9 pessoas de sua família repetindo este processo em outros 9 vetores paralelos ao primeiro. Você teria agora $3 + 9 \times 3 = 3 + 27 = 30$ caixas para guardar informações. OK, e daí?
O que acabamos de ilustrar é a ideia fundamental para estruturar tabelas, planilhas do Excel, ou _dataframes_ (que você aprenderá neste curso). Tudo isso são matrizes! Ou seja, informação organizada em linhas e colunas! Cada linha é como um vetor que contém 3 posições (são as colunas). Cada coluna são os registros que você coloca. Então, digamos que você tenha pensado na sua mãe como o próximo membro da família. O nome dela seria colocado na "caixa" que estaria no ponto $(1,0)$, a idade dela na "caixa" que estaria no ponto $(1,1)$ e o CPF dela na "caixa" que estaria no ponto $(1,2)$. Fazendo o com todos os demais membros, você vai concluiria que o CPF do 10o. membro da família deveria estar na "caixa" associada ao ponto $(9,9)$.
Para um computador, vetores são chamados de _arrays_. Uma lista de coisas também pode ser comparada a um _array_. Note acima que a segunda coordenada do primeiro vetor (aquele que tem as caixas de informação a seu respeito) é sempre zero. Ela se mantém fixa. Isto significa que o dado assemelha-se a algo **unidimensional**. Isto é, basta que eu apenas faça uma contagem de elementos em uma direção. Isto é muito similar ao conjunto dos números inteiros positivos $\mathbb{Z}_{+}$.
Quando, porém, inserimos os vetores adicionais (as informações dos membros da sua família), a segunda coordenada também se altera. Isto significa que o dado assemelha-se a algo **bidimensional**. Ou seja, a contagem dos elementos ocorre em duas direções. Levando em conta um plano cartesiano com o eixo das ordenadas orientado para baixo e não para cima, como de costume, os números cresceriam não apenas para a direita, mas também para baixo. Logo, teríamos uma segunda contagem baseada em mais um conjunto de números inteiros positivos $\mathbb{Z}_{+}$ independente do primeiro. De que estamos falando aqui? Estamos falando do conceito de _par ordenado_. Isto é, qualquer ponto $(x,y)$ com $x \in \mathbb{Z}_{+}$ e $y \in \mathbb{Z}_{+}$ é um "local" onde existiria uma caixinha onde podemos guardar informações de maneira independente. Uma matriz é exatamente isto.
As imagens vistas na televisão, as _selfies_ e fotografias que você faz com seu celular e as figuras neste livro podem todas ser descritas como matrizes. Cada elemento da matriz é identificado com uma posição $(x,y)$ ao qual damos o nome de _pixel_. Uma imagem é, por sua vez, uma pixelização. Porém, as imagens não são apenas "endereços" de pixels. Elas possuem cor, tons de cinza, ou são monocromáticas (preto e branco). As cores são representadas por "canais". E, acredite, cada canal é também uma matriz de dados! No final das contas, uma imagem colorida é uma "matriz formada por outras matrizes"!
Uma matriz formada a partir de outra matriz é um exemplo de dado **tridimensional**. Um exemplo disso são dados sequenciais, tais como um filme ou uma animação. O número de _frames per second_ (FPS), ou "quadros por segundo", é tão alta hoje em dia que nossa visão não é capaz de captar que, quando vamos ao cinema ou assistimos um filme pela TV ou no Youtube, o que vemos é exatamente a mudança rápida e sucessiva de vários "quadros" de imagens por segundo.
Como você verá ao longo deste curso, muitos conceitos de Matemática que você aprendeu ao longo do Ensino Médio começarão a fazer mais sentido com as aplicações.
## Ferramentas computacionais do curso
Neste curso, usaremos Python 3.x (onde x é um número de versão) como linguagem de programação. Por se tratar de uma linguagem interpretada, interagir com ela é mais fácil do que uma linguagem compilada. Um conjunto mínimo de recursos para Python funcionar é composto do _core_ da linguagem, um terminal de comandos e um editor de texto. Enquanto programadores experientes usam menos recursos visuais, para efeito didático, usaremos interfaces mais amigáveis e interativas comprovadas como bons ambientes de aprendizagem.
### _iPython_ e _Jupyter Notebook_
O [[iPython]](http://ipython.org) foi um projeto iniciado em 2001 para o desenvolvimento de um interpretador Python para melhorar a interatividade com a linguagem. Ele foi integrado como um _kernel_ (núcleo) no projeto [[Jupyter]](http://jupyter.org), desenvolvido em 2014, permitindo textos, códigos e elementos gráficos sejam integrados em cadernos interativos. _Jupyter notebooks_ são interfaces onde podemos executar códigos em diferentes linguagens desde que alteremos os _kernels_. A palavra _Jupyter_ é uma aglutinação das iniciais de _Julia_, _Python_ e _R_, que são as linguagens de programação mais usuais para ciência de dados.
### *Anaconda*
Em 2012, o projeto [[Anaconda]](https://www.anaconda.com) foi iniciado como objetivo de fornecer uma ferramenta completa para o trabalho com Python. Em 2020, já como uma empresa de ponta, ela tornou-se uma das pioneiras no fornecimento de plataformas individuais e empresariais para ciência de dados. Segundo a empresa, a [[Individual Edition]](https://www.anaconda.com/products/individual), que é a versão aberta para uso é a mais popular no mundo com mais de 20 milhões de usuários. Recomendamos que você siga as orientações de instalação desta versão. Uma vez instalada, basta lançar as ferramentas a partir do dashboard _Anaconda Navigator_.
### *Jupyter Lab*
Uma ferramenta que melhorou a interatividade do Jupyter é o _Jupyter Lab_, que realiza um alto nível de integração. Este [[artigo]](https://blog.jupyter.org/jupyterlab-is-ready-for-users-5a6f039b8906) discute as características do Jupyter Lab, entre as quais vale citar o recurso de arrastar/soltar para reordenar células de cadernos e copiá-las entre cadernos.
### *Binder*
O projeto [[Binder]](https://mybinder.org) funciona como um servidor online baseada na tecnologia _Jupyter Hub_ para servir cadernos interativos online. Através do Binder, é possível executar códigos "na nuvem" sem a necessidade de instalações, porém as sessões são perdidas após o uso.
### *Google Colab*
O [[Google Colab]](http://colab.research.google.com), uma redução de _Colaboratory_, é uma ferramenta que possui características mistas entre o _Jupyter notebook_ e o _Binder_, porém permite que o usuário use a infra-estrutura de computação de alto desempenho (GPUs e TPUS) da Google. A vantagem é que usuários de contas Google podem sincronizar arquivos diretamente com o Google Drive.
### Módulos principais
Neste curso, o ecossistema de ferramentas torna-se pleno com a adição de alguns módulos que são considerados essenciais para a prática da ciência e análise de dados contemporânea:
- *numpy* (*NUMeric PYthon*): o *numpy* serve para o trabalho de computação numérica, operando fundamentalmente com vetores, matrizes e ágebra linear.
- *pandas* (*Python for Data Analysis*): é a biblioteca para análise de dados de Python, que opera *dataframes* com eficiência.
- *sympy* (*SYMbolic PYthon*): é um módulo para trabalhar com matemática simbólica e cumpre o papel de um verdadeiro sistema algébrico computacional.
- *matplotlib*: voltado para plotagem e visualização de dados, foi um dos primeiros módulos Python para este fim.
- *scipy* (*SCIentific PYthon*): o *scipy* pode ser visto, na verdade, como um módulo mais amplo que integra os módulos anteriores. Em particular, ele é utilizado para cálculos de integração numérica, interpolação, otimização e estatística.
- *seaborn*: é um módulo para visualização de dados baseado no *matplotlib*, porém com capacidades visuais melhores.
A visualização de dados é um tema de suma importância para resultados da análise exploratória de dados em estatística. Um site recomendado para pesquisar as melhores ferramentas para análise de dados é o [[PyViz]](https://pyviz.org). | 128.056872 | 1,102 | 0.797335 | 4,114 | 27,020 | 5.210258 | 0.347837 | 0.027758 | 0.011756 | 0.002799 | 0.040121 | 0.019361 | 0.019361 | 0.011943 | 0.009237 | 0.005785 | 0 | 0.014212 | 0.151073 | 27,020 | 211 | 1,103 | 128.056872 | 0.920089 | 0 | 0 | 0.02 | 0 | 0.04 | 0.04235 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.02 | 0.04 | null | null | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
43ff9c7834317ca88fdd10a2fa19c148b2543d32 | 276 | py | Python | visualizations.py | msdevana/Self_Organizing_Maps | 73dec256ca9c07a24af24c9a1b61a690c3cb7ce7 | [
"MIT"
] | null | null | null | visualizations.py | msdevana/Self_Organizing_Maps | 73dec256ca9c07a24af24c9a1b61a690c3cb7ce7 | [
"MIT"
] | null | null | null | visualizations.py | msdevana/Self_Organizing_Maps | 73dec256ca9c07a24af24c9a1b61a690c3cb7ce7 | [
"MIT"
] | null | null | null | """
Created By Manish S. Devana
Visualization tools for the SOMS
"""
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
def umatrix(som):
"""
"""
def hitmap(som):
"""
"""
def plot_weights(som):
"""
"""
| 8.117647 | 32 | 0.554348 | 33 | 276 | 4.606061 | 0.757576 | 0.078947 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.318841 | 276 | 34 | 33 | 8.117647 | 0.808511 | 0.221014 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0 | 0.5 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
a125c27d0459677dc021bf1fa462f0e654de07c3 | 269 | py | Python | pandas/types/common.py | vimalromeo/pandas | 7c14e4f14aff216be558bf5d4d2d00b4838c2360 | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 69 | 2020-03-31T06:40:17.000Z | 2022-02-25T11:48:18.000Z | venv/lib/python3.7/site-packages/pandas/types/common.py | John1001Song/Big-Data-Robo-Adviser | 9444dce96954c546333d5aecc92a06c3bfd19aa5 | [
"MIT"
] | 8 | 2019-12-04T23:44:11.000Z | 2022-02-10T08:31:40.000Z | venv/lib/python3.7/site-packages/pandas/types/common.py | John1001Song/Big-Data-Robo-Adviser | 9444dce96954c546333d5aecc92a06c3bfd19aa5 | [
"MIT"
] | 28 | 2020-04-15T15:24:17.000Z | 2021-12-26T04:05:02.000Z | import warnings
warnings.warn("pandas.types.common is deprecated and will be "
"removed in a future version, import "
"from pandas.api.types",
DeprecationWarning, stacklevel=3)
from pandas.core.dtypes.common import * # noqa
| 29.888889 | 62 | 0.654275 | 32 | 269 | 5.5 | 0.75 | 0.113636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005051 | 0.263941 | 269 | 8 | 63 | 33.625 | 0.883838 | 0.01487 | 0 | 0 | 0 | 0 | 0.391635 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 0 | 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 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
a142ba7e30a25e454afb0eeaef27a2699539f282 | 809 | py | Python | torch_glow/tests/nodes/dropout_test.py | dreiss/glow | 54c7625053bfb14955c4402ab8d9bca85195d53c | [
"Apache-2.0"
] | 2 | 2022-03-04T17:32:39.000Z | 2022-03-04T18:15:37.000Z | torch_glow/tests/nodes/dropout_test.py | dreiss/glow | 54c7625053bfb14955c4402ab8d9bca85195d53c | [
"Apache-2.0"
] | 10 | 2020-08-09T11:46:55.000Z | 2020-12-03T04:38:52.000Z | torch_glow/tests/nodes/dropout_test.py | dreiss/glow | 54c7625053bfb14955c4402ab8d9bca85195d53c | [
"Apache-2.0"
] | null | null | null | from __future__ import absolute_import, division, print_function, unicode_literals
import torch
import torch.nn.functional as F
from tests.utils import jitVsGlow
import unittest
class TestDropout(unittest.TestCase):
def test_dropout(self):
"""Basic test of the PyTorch aten::dropout Node on Glow."""
def test_f(a):
return F.dropout(a + a, p=0.5, training=False)
x = torch.randn(6, 4, 10)
jitVsGlow(test_f, x, expected_fused_ops={"aten::dropout"})
def test_dropout_inplace(self):
"""Basic test of the PyTorch aten::dropout_ Node on Glow."""
def test_f(a):
return F.dropout(a + a, p=0.5, training=False, inplace=True)
x = torch.randn(6, 4, 10)
jitVsGlow(test_f, x, expected_fused_ops={"aten::dropout_"})
| 26.966667 | 82 | 0.657602 | 118 | 809 | 4.338983 | 0.423729 | 0.054688 | 0.054688 | 0.058594 | 0.5625 | 0.5625 | 0.5625 | 0.5625 | 0.5625 | 0.5625 | 0 | 0.019169 | 0.226205 | 809 | 29 | 83 | 27.896552 | 0.798722 | 0.133498 | 0 | 0.25 | 0 | 0 | 0.03913 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.3125 | 0.125 | 0.75 | 0.0625 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 3 |
a1474b6aeca5189ad6bb26ab492d50b2d1e5a565 | 1,728 | py | Python | tests/test_get.py | cryptomaniac512/falcon-toolkit | da4950cf93b4923a0733e8903df0cb54879932ec | [
"MIT"
] | 3 | 2018-02-08T09:00:37.000Z | 2018-02-13T09:17:17.000Z | tests/test_get.py | cryptomaniac512/pytest-falcon-client | da4950cf93b4923a0733e8903df0cb54879932ec | [
"MIT"
] | 1 | 2019-02-08T13:26:08.000Z | 2019-02-08T13:26:08.000Z | tests/test_get.py | sivakov512/pytest-falcon-client | da4950cf93b4923a0733e8903df0cb54879932ec | [
"MIT"
] | null | null | null | import pytest
@pytest.mark.parametrize("client_fixture", ("client", "cors_client"))
def test_getting_json(request, client_fixture):
client = request.getfixturevalue(client_fixture)
got = client.get("/example/20/")
assert got == "20 ok"
@pytest.mark.parametrize("client_fixture", ("client", "cors_client"))
def test_getting_response(request, client_fixture):
client = request.getfixturevalue(client_fixture)
response = client.get("/example/20/", as_response=True)
assert response.status_code == 200
assert response.json == "20 ok"
@pytest.mark.parametrize("client_fixture", ("client", "cors_client"))
def test_raises_for_failed_request(request, client_fixture):
client = request.getfixturevalue(client_fixture)
with pytest.raises(AssertionError):
client.get("/example/42/")
@pytest.mark.parametrize("client_fixture", ("client", "cors_client"))
def test_getting_response_for_failed_request(request, client_fixture):
client = request.getfixturevalue(client_fixture)
response = client.get("/example/42/", as_response=True)
assert response.status_code == 400
assert response.json == "Invalid id"
@pytest.mark.parametrize("client_fixture", ("client", "cors_client"))
def test_getting_json_for_failed_request(request, client_fixture):
client = request.getfixturevalue(client_fixture)
got = client.get("/example/42/", expected_statuses=[400])
assert got == "Invalid id"
def test_raises_with_default_client_for_cors_api(make_client, cors_api):
"""Will raise `KeyError` because `Origin` header is not provided by
default client."""
client = make_client(cors_api)
with pytest.raises(KeyError):
client.get("/example/20/")
| 30.315789 | 72 | 0.735532 | 213 | 1,728 | 5.713615 | 0.230047 | 0.16023 | 0.156122 | 0.110929 | 0.706656 | 0.706656 | 0.706656 | 0.644207 | 0.644207 | 0.644207 | 0 | 0.016711 | 0.134259 | 1,728 | 56 | 73 | 30.857143 | 0.796791 | 0.046296 | 0 | 0.3125 | 0 | 0 | 0.156899 | 0 | 0 | 0 | 0 | 0 | 0.21875 | 1 | 0.1875 | false | 0 | 0.03125 | 0 | 0.21875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 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 | 3 |
a14e615dfb6b88fbe3ee9b2ee0c8898d500bdf49 | 583 | py | Python | PythonCode/Laboratorio de programacao/7.py | CrystianPrintes20/ProjetoUri | 92a88ae2671a556f4d418c3605e9a2c6933dc9d8 | [
"MIT"
] | null | null | null | PythonCode/Laboratorio de programacao/7.py | CrystianPrintes20/ProjetoUri | 92a88ae2671a556f4d418c3605e9a2c6933dc9d8 | [
"MIT"
] | null | null | null | PythonCode/Laboratorio de programacao/7.py | CrystianPrintes20/ProjetoUri | 92a88ae2671a556f4d418c3605e9a2c6933dc9d8 | [
"MIT"
] | null | null | null | import random
def Ler_vetor():
funcionarios = 50
return random.sample(range(100), funcionarios)
def Somar(v):
soma = sum(v)
return soma
def Maior(v):
return max(v)
def Menor(v):
return min(v)
def Media(v):
return (sum(v)/len(v))
vetor = Ler_vetor()
print("Salarios: {}".format(vetor))
print('Valor da folha salarial da empresa: {} R$'.format(Somar(vetor)))
print('Valor do maior salário: {} R$'.format(Maior(vetor)))
print('Valor do menor salário: {} R$'.format(Menor(vetor)))
print('Valor da Média dos salários: {:.0f}'.format(Media(vetor)))
| 18.21875 | 71 | 0.653516 | 87 | 583 | 4.356322 | 0.413793 | 0.131926 | 0.158311 | 0.08971 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012422 | 0.171527 | 583 | 31 | 72 | 18.806452 | 0.772257 | 0 | 0 | 0 | 0 | 0 | 0.250429 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.263158 | false | 0 | 0.052632 | 0.157895 | 0.578947 | 0.263158 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
a15d3d5148df0189099c5f0b0ea7b98144e3636d | 67 | py | Python | exercicios/ex037.py | evertoncorreadias/aulas | 3a99a7c4223caa7cbda7a891b619875135847e9d | [
"MIT"
] | null | null | null | exercicios/ex037.py | evertoncorreadias/aulas | 3a99a7c4223caa7cbda7a891b619875135847e9d | [
"MIT"
] | null | null | null | exercicios/ex037.py | evertoncorreadias/aulas | 3a99a7c4223caa7cbda7a891b619875135847e9d | [
"MIT"
] | null | null | null | nome=input('qual seu nome').strip()
print('correa' in nome.lower()) | 33.5 | 35 | 0.701493 | 11 | 67 | 4.272727 | 0.818182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.074627 | 67 | 2 | 36 | 33.5 | 0.758065 | 0 | 0 | 0 | 0 | 0 | 0.279412 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.5 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
a17c10da92206173ff4407c8744df462918759a6 | 660 | py | Python | 7KYU/cool_string.py | yaznasivasai/python_codewars | 25493591dde4649dc9c1ec3bece8191a3bed6818 | [
"MIT"
] | 4 | 2021-07-17T22:48:03.000Z | 2022-03-25T14:10:58.000Z | 7KYU/cool_string.py | yaznasivasai/python_codewars | 25493591dde4649dc9c1ec3bece8191a3bed6818 | [
"MIT"
] | null | null | null | 7KYU/cool_string.py | yaznasivasai/python_codewars | 25493591dde4649dc9c1ec3bece8191a3bed6818 | [
"MIT"
] | 3 | 2021-06-14T14:18:16.000Z | 2022-03-16T06:02:02.000Z | def cool_string(s: str) -> bool:
"""
Let's call a string cool if it is formed only by Latin letters and no two lowercase and no two uppercase letters are in adjacent positions.
Given a string, check if it is cool.
"""
string_without_whitespace = ''.join(s.split())
if string_without_whitespace.isalpha():
for i, k in enumerate(range(len(string_without_whitespace)-1)):
if (string_without_whitespace[i].islower() and string_without_whitespace[i+1].islower()) or (string_without_whitespace[i].isupper() and string_without_whitespace[i+1].isupper()):
return False
return True
return False
| 50.769231 | 190 | 0.690909 | 95 | 660 | 4.642105 | 0.484211 | 0.206349 | 0.365079 | 0.217687 | 0.126984 | 0.126984 | 0 | 0 | 0 | 0 | 0 | 0.005758 | 0.210606 | 660 | 12 | 191 | 55 | 0.840691 | 0.268182 | 0 | 0.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0 | 0 | 0.5 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
a19337afbe026927a8882a88c3e4ae782bae32da | 64 | py | Python | public/app/constants.py | iconation/server-status | e10d7764163ec8bdba89740676a5bd25a900bc7b | [
"Apache-2.0"
] | null | null | null | public/app/constants.py | iconation/server-status | e10d7764163ec8bdba89740676a5bd25a900bc7b | [
"Apache-2.0"
] | null | null | null | public/app/constants.py | iconation/server-status | e10d7764163ec8bdba89740676a5bd25a900bc7b | [
"Apache-2.0"
] | null | null | null | GITHUB_REPOSITORY = "https://github.com/ICONation/server-status" | 64 | 64 | 0.8125 | 8 | 64 | 6.375 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.03125 | 64 | 1 | 64 | 64 | 0.822581 | 0 | 0 | 0 | 0 | 0 | 0.646154 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
a1a70aa5d483e05a450efe95d9c97acafd7ee844 | 2,292 | py | Python | api/fatsecretapi/views.py | Abiwax/CalorieCheckerIonic4 | 4f027aa19916d7a24c3a6d50ded812a1abde081b | [
"Apache-2.0"
] | null | null | null | api/fatsecretapi/views.py | Abiwax/CalorieCheckerIonic4 | 4f027aa19916d7a24c3a6d50ded812a1abde081b | [
"Apache-2.0"
] | 7 | 2020-06-05T20:27:04.000Z | 2022-03-02T06:52:54.000Z | api/fatsecretapi/views.py | Abiwax/CalorieCheckerIonic4 | 4f027aa19916d7a24c3a6d50ded812a1abde081b | [
"Apache-2.0"
] | null | null | null | # Create your views here.
from fatsecret import Fatsecret
from django.http import JsonResponse
from django.conf import settings
fs = Fatsecret(settings.FATSECRET_ACCESS_KEY, settings.FATSECRET_SECRET_KEY)
def foods(request):
if request.method == 'GET':
search = request.GET["search"]
foods_detail = []
try:
foods_detail = fs.foods_search(search, max_results=50, page_number=1)
except:
foods_detail = {"error": "An error occured while processing."}
response = JsonResponse({"results":foods_detail})
return response
elif request.method == 'POST':
response = JsonResponse({"error": "must be a get method"})
return response
def food(request):
if request.method == 'GET':
search = request.GET["search"]
foods = []
try:
foods = fs.food_get(search)
except Exception as ex:
print(ex)
foods = {"error": "An error occured while processing."}
response = JsonResponse({"results":foods})
return response
elif request.method == 'POST':
response = JsonResponse({"error": "must be a get method"})
return response
def recipes(request):
if request.method == 'GET':
search = request.GET["search"]
recipes_result = []
try:
recipes_result = fs.recipes_search(search, max_results=50, page_number=1)
except Exception as ex:
print(ex)
recipes_result = {"error": "An error occured while processing."}
response = JsonResponse({"results":recipes_result})
return response
elif request.method == 'POST':
response = JsonResponse({"error": "must be a get method"})
return response
def recipe(request):
if request.method == 'GET':
search = request.GET["search"]
recipe_result = []
try:
recipe_result = fs.recipe_get(search)
except Exception as ex:
print(ex)
recipe_result = {"error": "An error occured while processing."}
response = JsonResponse({"results":recipe_result})
return response
elif request.method == 'POST':
response = JsonResponse({"error": "must be a get method"})
return response
| 32.742857 | 85 | 0.609948 | 251 | 2,292 | 5.474104 | 0.207171 | 0.065502 | 0.046579 | 0.064047 | 0.740175 | 0.740175 | 0.725619 | 0.725619 | 0.674672 | 0.546579 | 0 | 0.003636 | 0.280105 | 2,292 | 69 | 86 | 33.217391 | 0.829091 | 0.010035 | 0 | 0.576271 | 0 | 0 | 0.14841 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.067797 | false | 0 | 0.050847 | 0 | 0.254237 | 0.050847 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 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 | 3 |
a1ac20e362a8de936d8dcf7e4305859b84a5faa1 | 1,187 | py | Python | tests/config/test_manager.py | NishanBanga/JobFunnel | d1b326e803fb79ffcdb2d31f9cb17913959c1922 | [
"MIT"
] | 1,652 | 2019-07-13T14:41:37.000Z | 2022-03-29T04:25:06.000Z | tests/config/test_manager.py | GlobalOpenSourceSociety/JobFunnel | 45b3a8784313f1af1f21536df77c63868ffcdb7d | [
"MIT"
] | 124 | 2019-07-04T16:36:04.000Z | 2022-03-22T19:52:58.000Z | tests/config/test_manager.py | GlobalOpenSourceSociety/JobFunnel | 45b3a8784313f1af1f21536df77c63868ffcdb7d | [
"MIT"
] | 215 | 2019-11-12T01:07:24.000Z | 2022-03-15T20:23:10.000Z | # FIXME: need to break down config manager testing a bit more
# @pytest.mark.parametrize('pass_del_cfg', (True, False))
# def test_config_manager_init(mocker, pass_del_cfg):
# """NOTE: unlike other configs this one validates itself on creation
# """
# # Mocks
# patch_del_cfg = mocker.patch('jobfunnel.config.manager.DelayConfig')
# patch_os = mocker.patch('jobfunnel.config.manager.os')
# patch_os.path.exists.return_value = False # check it makes all paths
# mock_master_csv = mocker.Mock()
# mock_block_list = mocker.Mock()
# mock_dupe_list = mocker.Mock()
# mock_cache_folder = mocker.Mock()
# mock_search_cfg = mocker.Mock()
# mock_proxy_cfg = mocker.Mock()
# mock_del_cfg = mocker.Mock()
# # FUT
# cfg = JobFunnelConfigManager(
# master_csv_file=mock_master_csv,
# user_block_list_file=mock_block_list,
# duplicates_list_file=mock_dupe_list,
# cache_folder=mock_cache_folder,
# search_config=mock_search_cfg,
# delay_config=mock_del_cfg if pass_del_cfg else None,
# proxy_config=mock_proxy_cfg,
# log_file='', # TODO optional?
# )
# # Assertions
| 38.290323 | 75 | 0.679865 | 156 | 1,187 | 4.826923 | 0.448718 | 0.092961 | 0.111554 | 0.069057 | 0.087649 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2123 | 1,187 | 30 | 76 | 39.566667 | 0.805348 | 0.946083 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0.033333 | null | 1 | null | true | 0 | 0 | null | null | null | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
a1bf02611c6a82153d263112d9c736b3b648875b | 172 | py | Python | Python/prova/fibro 2.py | marcelosilva7/Primeiro-repositorio | 2550c86d07101bed84e0d110599a9492b1069263 | [
"MIT"
] | null | null | null | Python/prova/fibro 2.py | marcelosilva7/Primeiro-repositorio | 2550c86d07101bed84e0d110599a9492b1069263 | [
"MIT"
] | null | null | null | Python/prova/fibro 2.py | marcelosilva7/Primeiro-repositorio | 2550c86d07101bed84e0d110599a9492b1069263 | [
"MIT"
] | null | null | null | t1 = 0
t2 = 1
print(f'{t1} -> {t2} -> ', end='')
for c in range(1, 21):
t3 = t1 + t2
print(f'{t3} -> ', end='')
t1 = t2
t2 = t3
print('FIM', end='') | 19.111111 | 35 | 0.401163 | 29 | 172 | 2.37931 | 0.482759 | 0.173913 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.147826 | 0.331395 | 172 | 9 | 36 | 19.111111 | 0.452174 | 0 | 0 | 0 | 0 | 0 | 0.163636 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
a1d0457b1dc1d0b5cbd54a40bd10967ee66ed22a | 42,034 | py | Python | plogical/vhost.py | uzairAK/serverom-panel | 3dcde05ad618e6bef280db7d3180f926fe2ab1db | [
"MIT"
] | null | null | null | plogical/vhost.py | uzairAK/serverom-panel | 3dcde05ad618e6bef280db7d3180f926fe2ab1db | [
"MIT"
] | null | null | null | plogical/vhost.py | uzairAK/serverom-panel | 3dcde05ad618e6bef280db7d3180f926fe2ab1db | [
"MIT"
] | null | null | null | #!/usr/local/CyberCP/bin/python
import os
import os.path
import sys
import django
sys.path.append('/usr/local/CyberCP')
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "CyberCP.settings")
try:
django.setup()
except:
pass
import shutil
from plogical import installUtilities
import subprocess
import shlex
from plogical import CyberCPLogFileWriter as logging
from plogical.mysqlUtilities import mysqlUtilities
from plogical.dnsUtilities import DNS
from random import randint
from plogical.processUtilities import ProcessUtilities
from managePHP.phpManager import PHPManager
from plogical.vhostConfs import vhostConfs
from ApachController.ApacheVhosts import ApacheVhost
try:
from websiteFunctions.models import Websites, ChildDomains, aliasDomains
from databases.models import Databases
except:
pass
import pwd
import grp
## If you want justice, you have come to the wrong place.
class vhost:
Server_root = "/usr/local/lsws"
cyberPanel = "/usr/local/CyberCP"
redisConf = '/usr/local/lsws/conf/dvhost_redis.conf'
@staticmethod
def addUser(virtualHostUser, path):
try:
FNULL = open(os.devnull, 'w')
if os.path.exists("/etc/lsb-release"):
command = 'adduser --no-create-home --home ' + path + ' --disabled-login --gecos "" ' + virtualHostUser
else:
command = "adduser " + virtualHostUser + " -M -d " + path
ProcessUtilities.executioner(command)
command = "groupadd " + virtualHostUser
ProcessUtilities.executioner(command)
command = "usermod -a -G " + virtualHostUser + " " + virtualHostUser
ProcessUtilities.executioner(command)
except BaseException as msg:
logging.CyberCPLogFileWriter.writeToFile(str(msg) + " [addingUsers]")
@staticmethod
def createDirectories(path, virtualHostUser, pathHTML, pathLogs, confPath, completePathToConfigFile):
try:
FNULL = open(os.devnull, 'w')
try:
command = 'chmod 711 /home'
cmd = shlex.split(command)
subprocess.call(cmd, stdout=FNULL, stderr=subprocess.STDOUT)
except:
pass
try:
os.makedirs(path)
command = "chown " + virtualHostUser + ":" + virtualHostUser + " " + path
cmd = shlex.split(command)
subprocess.call(cmd, stdout=FNULL, stderr=subprocess.STDOUT)
command = "chmod 711 " + path
cmd = shlex.split(command)
subprocess.call(cmd, stdout=FNULL, stderr=subprocess.STDOUT)
except OSError as msg:
logging.CyberCPLogFileWriter.writeToFile(
str(msg) + " [27 Not able create to directories for virtual host [createDirectories]]")
return [0, "[27 Not able to directories for virtual host [createDirectories]]"]
try:
os.makedirs(pathHTML)
if ProcessUtilities.decideDistro() == ProcessUtilities.centos:
groupName = 'nobody'
else:
groupName = 'nogroup'
command = "chown " + virtualHostUser + ":%s " % (groupName) + pathHTML
cmd = shlex.split(command)
subprocess.call(cmd, stdout=FNULL, stderr=subprocess.STDOUT)
command = "chmod 750 %s" % (pathHTML)
cmd = shlex.split(command)
subprocess.call(cmd, stdout=FNULL, stderr=subprocess.STDOUT)
except OSError as msg:
logging.CyberCPLogFileWriter.writeToFile(
str(msg) + " [33 Not able to directories for virtual host [createDirectories]]")
return [0, "[33 Not able to directories for virtual host [createDirectories]]"]
try:
os.makedirs(pathLogs)
if ProcessUtilities.decideDistro() == ProcessUtilities.centos:
groupName = 'nobody'
else:
groupName = 'nogroup'
command = "chown %s:%s %s" % ('root', groupName, pathLogs)
cmd = shlex.split(command)
subprocess.call(cmd, stdout=FNULL, stderr=subprocess.STDOUT)
if ProcessUtilities.decideServer() == ProcessUtilities.OLS:
command = "chmod -R 750 " + pathLogs
else:
command = "chmod -R 750 " + pathLogs
cmd = shlex.split(command)
subprocess.call(cmd, stdout=FNULL, stderr=subprocess.STDOUT)
except OSError as msg:
logging.CyberCPLogFileWriter.writeToFile(
str(msg) + " [39 Not able to directories for virtual host [createDirectories]]")
return [0, "[39 Not able to directories for virtual host [createDirectories]]"]
try:
## For configuration files permissions will be changed later globally.
if not os.path.exists(confPath):
os.makedirs(confPath)
except OSError as msg:
logging.CyberCPLogFileWriter.writeToFile(
str(msg) + " [45 Not able to directories for virtual host [createDirectories]]")
return [0, "[45 Not able to directories for virtual host [createDirectories]]"]
try:
## For configuration files permissions will be changed later globally.
file = open(completePathToConfigFile, "w+")
command = "chown " + "lsadm" + ":" + "lsadm" + " " + completePathToConfigFile
cmd = shlex.split(command)
subprocess.call(cmd, stdout=FNULL, stderr=subprocess.STDOUT)
command = 'chmod 600 %s' % (completePathToConfigFile)
cmd = shlex.split(command)
subprocess.call(cmd, stdout=FNULL, stderr=subprocess.STDOUT)
except IOError as msg:
logging.CyberCPLogFileWriter.writeToFile(str(msg) + " [createDirectories]]")
return [0, "[45 Not able to directories for virtual host [createDirectories]]"]
return [1, 'None']
except BaseException as msg:
logging.CyberCPLogFileWriter.writeToFile(str(msg) + " [createDirectories]")
return [0, str(msg)]
@staticmethod
def finalizeVhostCreation(virtualHostName, virtualHostUser):
try:
FNULL = open(os.devnull, 'w')
shutil.copy("/usr/local/CyberCP/index.html", "/home/" + virtualHostName + "/public_html/index.html")
command = "chown " + virtualHostUser + ":" + virtualHostUser + " " + "/home/" + virtualHostName + "/public_html/index.html"
cmd = shlex.split(command)
subprocess.call(cmd, stdout=FNULL, stderr=subprocess.STDOUT)
vhostPath = vhost.Server_root + "/conf/vhosts"
command = "chown -R " + "lsadm" + ":" + "lsadm" + " " + vhostPath
cmd = shlex.split(command)
subprocess.call(cmd, stdout=FNULL, stderr=subprocess.STDOUT)
except BaseException as msg:
logging.CyberCPLogFileWriter.writeToFile(str(msg) + " [finalizeVhostCreation]")
@staticmethod
def createDirectoryForVirtualHost(virtualHostName,administratorEmail,virtualHostUser, phpVersion, openBasedir):
path = "/home/" + virtualHostName
pathHTML = "/home/" + virtualHostName + "/public_html"
pathLogs = "/home/" + virtualHostName + "/logs"
confPath = vhost.Server_root + "/conf/vhosts/"+virtualHostName
completePathToConfigFile = confPath +"/vhost.conf"
## adding user
vhost.addUser(virtualHostUser, path)
## Creating Directories
result = vhost.createDirectories(path, virtualHostUser, pathHTML, pathLogs, confPath, completePathToConfigFile)
if result[0] == 0:
return [0, result[1]]
## Creating Per vhost Configuration File
if vhost.perHostVirtualConf(completePathToConfigFile,administratorEmail,virtualHostUser,phpVersion, virtualHostName, openBasedir) == 1:
return [1,"None"]
else:
return [0,"[61 Not able to create per host virtual configurations [perHostVirtualConf]"]
@staticmethod
def perHostVirtualConf(vhFile, administratorEmail,virtualHostUser, phpVersion, virtualHostName, openBasedir):
# General Configurations tab
if ProcessUtilities.decideServer() == ProcessUtilities.OLS:
try:
confFile = open(vhFile, "w+")
php = PHPManager.getPHPString(phpVersion)
currentConf = vhostConfs.olsMasterConf
currentConf = currentConf.replace('{adminEmails}', administratorEmail)
currentConf = currentConf.replace('{virtualHostUser}', virtualHostUser)
currentConf = currentConf.replace('{php}', php)
currentConf = currentConf.replace('{adminEmails}', administratorEmail)
currentConf = currentConf.replace('{php}', php)
if openBasedir == 1:
currentConf = currentConf.replace('{open_basedir}', 'php_admin_value open_basedir "/tmp:$VH_ROOT"')
else:
currentConf = currentConf.replace('{open_basedir}', '')
confFile.write(currentConf)
confFile.close()
except BaseException as msg:
logging.CyberCPLogFileWriter.writeToFile(
str(msg) + " [IO Error with per host config file [perHostVirtualConf]]")
return 0
return 1
else:
try:
if not os.path.exists(vhost.redisConf):
confFile = open(vhFile, "w+")
php = PHPManager.getPHPString(phpVersion)
currentConf = vhostConfs.lswsMasterConf
currentConf = currentConf.replace('{virtualHostName}', virtualHostName)
currentConf = currentConf.replace('{administratorEmail}', administratorEmail)
currentConf = currentConf.replace('{externalApp}', virtualHostUser)
currentConf = currentConf.replace('{php}', php)
confFile.write(currentConf)
confFile.close()
else:
## Non-www
currentConf = vhostConfs.lswsRediConfMaster
currentConf = currentConf.replace('{virtualHostName}', virtualHostName)
currentConf = currentConf.replace('{administratorEmail}', administratorEmail)
currentConf = currentConf.replace('{externalApp}', virtualHostUser)
currentConf = currentConf.replace('{php}', phpVersion.lstrip('PHP '))
currentConf = currentConf.replace('{uid}', str(pwd.getpwnam(virtualHostUser).pw_uid))
currentConf = currentConf.replace('{gid}', str(grp.getgrnam(virtualHostUser).gr_gid))
command = 'redis-cli set %s' % (currentConf)
ProcessUtilities.executioner(command)
## WWW
currentConf = vhostConfs.lswsRediConfMasterWWW
currentConf = currentConf.replace('{virtualHostName}', 'www.%s' % (virtualHostName))
currentConf = currentConf.replace('{master}', virtualHostName)
currentConf = currentConf.replace('{administratorEmail}', administratorEmail)
currentConf = currentConf.replace('{externalApp}', virtualHostUser)
currentConf = currentConf.replace('{php}', phpVersion.lstrip('PHP '))
currentConf = currentConf.replace('{uid}', str(pwd.getpwnam(virtualHostUser).pw_uid))
currentConf = currentConf.replace('{gid}', str(grp.getgrnam(virtualHostUser).gr_gid))
command = 'redis-cli set %s' % (currentConf)
ProcessUtilities.executioner(command)
except BaseException as msg:
logging.CyberCPLogFileWriter.writeToFile(
str(msg) + " [IO Error with per host config file [perHostVirtualConf]]")
return 0
return 1
@staticmethod
def createNONSSLMapEntry(virtualHostName):
try:
data = open("/usr/local/lsws/conf/httpd_config.conf").readlines()
writeDataToFile = open("/usr/local/lsws/conf/httpd_config.conf", 'w')
map = " map " + virtualHostName + " " + virtualHostName + "\n"
mapchecker = 1
for items in data:
if (mapchecker == 1 and (items.find("listener") > -1 and items.find("Default") > -1)):
writeDataToFile.writelines(items)
writeDataToFile.writelines(map)
mapchecker = 0
else:
writeDataToFile.writelines(items)
return 1
except BaseException as msg:
logging.CyberCPLogFileWriter.writeToFile(str(msg))
return 0
@staticmethod
def createConfigInMainVirtualHostFile(virtualHostName):
if ProcessUtilities.decideServer() == ProcessUtilities.OLS:
try:
if vhost.createNONSSLMapEntry(virtualHostName) == 0:
return [0, "Failed to create NON SSL Map Entry [createConfigInMainVirtualHostFile]"]
writeDataToFile = open("/usr/local/lsws/conf/httpd_config.conf", 'a')
currentConf = vhostConfs.olsMasterMainConf
currentConf = currentConf.replace('{virtualHostName}', virtualHostName)
writeDataToFile.write(currentConf)
writeDataToFile.close()
return [1,"None"]
except BaseException as msg:
logging.CyberCPLogFileWriter.writeToFile(str(msg) + "223 [IO Error with main config file [createConfigInMainVirtualHostFile]]")
return [0,"223 [IO Error with main config file [createConfigInMainVirtualHostFile]]"]
else:
try:
writeDataToFile = open("/usr/local/lsws/conf/httpd.conf", 'a')
configFile = 'Include /usr/local/lsws/conf/vhosts/' + virtualHostName + '/vhost.conf\n'
writeDataToFile.writelines(configFile)
writeDataToFile.close()
writeDataToFile.close()
return [1, "None"]
except BaseException as msg:
logging.CyberCPLogFileWriter.writeToFile(
str(msg) + "223 [IO Error with main config file [createConfigInMainVirtualHostFile]]")
return [0, "223 [IO Error with main config file [createConfigInMainVirtualHostFile]]"]
@staticmethod
def deleteVirtualHostConfigurations(virtualHostName):
if ProcessUtilities.decideServer() == ProcessUtilities.OLS:
try:
## Deleting master conf
numberOfSites = str(Websites.objects.count() + ChildDomains.objects.count())
vhost.deleteCoreConf(virtualHostName, numberOfSites)
delWebsite = Websites.objects.get(domain=virtualHostName)
externalApp = delWebsite.externalApp
##
databases = Databases.objects.filter(website=delWebsite)
childDomains = delWebsite.childdomains_set.all()
## Deleting child domains
for items in childDomains:
numberOfSites = Websites.objects.count() + ChildDomains.objects.count()
vhost.deleteCoreConf(items.domain, numberOfSites)
for items in databases:
mysqlUtilities.deleteDatabase(items.dbName, items.dbUser)
delWebsite.delete()
## Deleting DNS Zone if there is any.
DNS.deleteDNSZone(virtualHostName)
if not os.path.exists(vhost.redisConf):
installUtilities.installUtilities.reStartLiteSpeed()
## Delete mail accounts
command = "rm -rf /home/vmail/" + virtualHostName
subprocess.call(shlex.split(command))
##
if ProcessUtilities.decideDistro() == ProcessUtilities.centos:
command = 'userdel -r -f %s' % (externalApp)
else:
command = 'deluser %s' % (externalApp)
ProcessUtilities.executioner(command)
#
command = 'groupdel %s' % (externalApp)
ProcessUtilities.executioner(command)
## Remove git conf folder if present
gitPath = '/home/cyberpanel/git/%s' % (virtualHostName)
if os.path.exists(gitPath):
shutil.rmtree(gitPath)
except BaseException as msg:
logging.CyberCPLogFileWriter.writeToFile(str(msg) + " [Not able to remove virtual host configuration from main configuration file.]")
return 0
return 1
else:
try:
## Deleting master conf
numberOfSites = str(Websites.objects.count() + ChildDomains.objects.count())
vhost.deleteCoreConf(virtualHostName, numberOfSites)
delWebsite = Websites.objects.get(domain=virtualHostName)
externalApp = delWebsite.externalApp
## Cagefs
command = '/usr/sbin/cagefsctl --disable %s' % (delWebsite.externalApp)
ProcessUtilities.normalExecutioner(command)
databases = Databases.objects.filter(website=delWebsite)
childDomains = delWebsite.childdomains_set.all()
## Deleting child domains
for items in childDomains:
numberOfSites = Websites.objects.count() + ChildDomains.objects.count()
vhost.deleteCoreConf(items.domain, numberOfSites)
for items in databases:
mysqlUtilities.deleteDatabase(items.dbName, items.dbUser)
delWebsite.delete()
## Deleting DNS Zone if there is any.
DNS.deleteDNSZone(virtualHostName)
installUtilities.installUtilities.reStartLiteSpeed()
## Delete mail accounts
command = "rm -rf /home/vmail/" + virtualHostName
subprocess.call(shlex.split(command))
##
if ProcessUtilities.decideDistro() == ProcessUtilities.centos:
command = 'userdel -r -f %s' % (externalApp)
else:
command = 'deluser %s' % (externalApp)
ProcessUtilities.executioner(command)
#
command = 'groupdel %s' % (externalApp)
ProcessUtilities.executioner(command)
except BaseException as msg:
logging.CyberCPLogFileWriter.writeToFile(
str(msg) + " [Not able to remove virtual host configuration from main configuration file.]")
return 0
return 1
@staticmethod
def deleteCoreConf(virtualHostName, numberOfSites):
if ProcessUtilities.decideServer() == ProcessUtilities.OLS:
try:
virtualHostPath = "/home/" + virtualHostName
if os.path.exists(virtualHostPath):
shutil.rmtree(virtualHostPath)
confPath = vhost.Server_root + "/conf/vhosts/" + virtualHostName
if os.path.exists(confPath):
shutil.rmtree(confPath)
data = open("/usr/local/lsws/conf/httpd_config.conf").readlines()
writeDataToFile = open("/usr/local/lsws/conf/httpd_config.conf", 'w')
check = 1
sslCheck = 1
for items in data:
if numberOfSites == 1:
if (items.find(' ' + virtualHostName) > -1 and items.find(" map " + virtualHostName) > -1):
continue
if (items.find(' ' + virtualHostName) > -1 and (items.find("virtualHost") > -1 or items.find("virtualhost") > -1)):
check = 0
if items.find("listener") > -1 and items.find("SSL") > -1:
sslCheck = 0
if (check == 1 and sslCheck == 1):
writeDataToFile.writelines(items)
if (items.find("}") > -1 and (check == 0 or sslCheck == 0)):
check = 1
sslCheck = 1
else:
if (items.find(' ' + virtualHostName) > -1 and items.find(" map " + virtualHostName) > -1):
continue
if (items.find(' ' + virtualHostName) > -1 and (items.find("virtualHost") > -1 or items.find("virtualhost") > -1)):
check = 0
if (check == 1):
writeDataToFile.writelines(items)
if (items.find("}") > -1 and check == 0):
check = 1
## Delete Apache Conf
ApacheVhost.DeleteApacheVhost(virtualHostName)
except BaseException as msg:
logging.CyberCPLogFileWriter.writeToFile(
str(msg) + " [Not able to remove virtual host configuration from main configuration file.]")
return 0
return 1
else:
virtualHostPath = "/home/" + virtualHostName
try:
shutil.rmtree(virtualHostPath)
except BaseException as msg:
logging.CyberCPLogFileWriter.writeToFile(
str(msg) + " [Not able to remove virtual host directory from /home continuing..]")
if not os.path.exists(vhost.redisConf):
try:
confPath = vhost.Server_root + "/conf/vhosts/" + virtualHostName
shutil.rmtree(confPath)
except BaseException as msg:
logging.CyberCPLogFileWriter.writeToFile(
str(msg) + " [Not able to remove virtual host configuration directory from /conf ]")
try:
data = open("/usr/local/lsws/conf/httpd.conf").readlines()
writeDataToFile = open("/usr/local/lsws/conf/httpd.conf", 'w')
for items in data:
if items.find('/' + virtualHostName + '/') > -1:
pass
else:
writeDataToFile.writelines(items)
writeDataToFile.close()
except BaseException as msg:
logging.CyberCPLogFileWriter.writeToFile(
str(msg) + " [Not able to remove virtual host configuration from main configuration file.]")
return 0
return 1
else:
command = 'redis-cli delete "vhost:%s"' % (virtualHostName)
ProcessUtilities.executioner(command)
command = 'redis-cli delete "vhost:www.%s"' % (virtualHostName)
ProcessUtilities.executioner(command)
@staticmethod
def checkIfVirtualHostExists(virtualHostName):
if os.path.exists("/home/" + virtualHostName):
return 1
return 0
@staticmethod
def changePHP(vhFile, phpVersion):
phpDetachUpdatePath = '/home/%s/.lsphp_restart.txt' % (vhFile.split('/')[-2])
if ProcessUtilities.decideServer() == ProcessUtilities.OLS:
try:
if ApacheVhost.changePHP(phpVersion, vhFile) == 0:
data = open(vhFile, "r").readlines()
php = PHPManager.getPHPString(phpVersion)
if not os.path.exists("/usr/local/lsws/lsphp" + str(php) + "/bin/lsphp"):
print(0, 'This PHP version is not available on your CyberPanel.')
return [0, "[This PHP version is not available on your CyberPanel. [changePHP]"]
writeDataToFile = open(vhFile, "w")
path = " path /usr/local/lsws/lsphp" + str(php) + "/bin/lsphp\n"
for items in data:
if items.find("/usr/local/lsws/lsphp") > -1 and items.find("path") > -1:
writeDataToFile.writelines(path)
else:
writeDataToFile.writelines(items)
writeDataToFile.close()
writeToFile = open(phpDetachUpdatePath, 'w')
writeToFile.close()
installUtilities.installUtilities.reStartLiteSpeed()
try:
os.remove(phpDetachUpdatePath)
except:
pass
else:
php = PHPManager.getPHPString(phpVersion)
command = "systemctl restart php%s-php-fpm" % (php)
ProcessUtilities.normalExecutioner(command)
print("1,None")
return 1,'None'
except BaseException as msg:
logging.CyberCPLogFileWriter.writeToFile(
str(msg) + " [IO Error with per host config file [changePHP]")
print(0,str(msg))
return [0, str(msg) + " [IO Error with per host config file [changePHP]"]
else:
try:
if not os.path.exists(vhost.redisConf):
data = open(vhFile, "r").readlines()
php = PHPManager.getPHPString(phpVersion)
if not os.path.exists("/usr/local/lsws/lsphp" + str(php) + "/bin/lsphp"):
print(0, 'This PHP version is not available on your CyberPanel.')
return [0, "[This PHP version is not available on your CyberPanel. [changePHP]"]
writeDataToFile = open(vhFile, "w")
finalString = ' AddHandler application/x-httpd-php' + str(php) + ' .php\n'
for items in data:
if items.find("AddHandler application/x-httpd") > -1:
writeDataToFile.writelines(finalString)
else:
writeDataToFile.writelines(items)
writeDataToFile.close()
writeToFile = open(phpDetachUpdatePath, 'w')
writeToFile.close()
installUtilities.installUtilities.reStartLiteSpeed()
try:
os.remove(phpDetachUpdatePath)
except:
pass
else:
command = 'redis-cli get "vhost:%s"' % (vhFile.split('/')[-2])
configData = ProcessUtilities.outputExecutioner(command)
import re
configData = re.sub(r'"phpVersion": .*,', '"phpVersion": %s,' % (phpVersion.lstrip('PHP ')), configData)
command = "redis-cli set vhost:%s '%s'" % (vhFile.split('/')[-2], configData)
ProcessUtilities.executioner(command)
print("1,None")
return 1, 'None'
except BaseException as msg:
logging.CyberCPLogFileWriter.writeToFile(
str(msg) + " [IO Error with per host config file [changePHP]]")
print(0, str(msg))
return [0, str(msg) + " [IO Error with per host config file [changePHP]]"]
@staticmethod
def addRewriteRules(virtualHostName, fileName=None):
try:
pass
except BaseException as msg:
logging.CyberCPLogFileWriter.writeToFile(str(msg) + " [IO Error with per host config file [changePHP]]")
return 0
return 1
@staticmethod
def checkIfRewriteEnabled(data):
try:
for items in data:
if items.find(".htaccess") > -1:
return 1
return 0
except BaseException as msg:
logging.CyberCPLogFileWriter.writeToFile(
str(msg) + " [IO Error with per host config file [checkIfRewriteEnabled]]")
return 0
@staticmethod
def findDomainBW(domainName, totalAllowed):
try:
path = "/home/" + domainName + "/logs/" + domainName + ".access_log"
if not os.path.exists("/home/" + domainName + "/logs"):
print("0,0")
bwmeta = "/home/" + domainName + "/logs/bwmeta"
if not os.path.exists(path):
print("0,0")
if os.path.exists(bwmeta):
try:
data = open(bwmeta).readlines()
currentUsed = int(data[0].strip("\n"))
inMB = int(float(currentUsed) / (1024.0 * 1024.0))
if totalAllowed == 0:
totalAllowed = 999999
percentage = float(100) / float(totalAllowed)
percentage = float(percentage) * float(inMB)
except:
print("0,0")
if percentage > 100.0:
percentage = 100
print(str(inMB) + "," + str(percentage))
else:
print("0,0")
except OSError as msg:
logging.CyberCPLogFileWriter.writeToFile(str(msg) + " [findDomainBW]")
print("0,0")
except ValueError as msg:
logging.CyberCPLogFileWriter.writeToFile(str(msg) + " [findDomainBW]")
print("0,0")
@staticmethod
def permissionControl(path):
try:
command = 'sudo chown -R cyberpanel:cyberpanel ' + path
cmd = shlex.split(command)
res = subprocess.call(cmd)
except BaseException as msg:
logging.CyberCPLogFileWriter.writeToFile(str(msg))
@staticmethod
def leaveControl(path):
try:
command = 'sudo chown -R root:root ' + path
cmd = shlex.split(command)
res = subprocess.call(cmd)
except BaseException as msg:
logging.CyberCPLogFileWriter.writeToFile(str(msg))
@staticmethod
def checkIfAliasExists(aliasDomain):
try:
alias = aliasDomains.objects.get(aliasDomain=aliasDomain)
return 1
except BaseException as msg:
return 0
@staticmethod
def checkIfSSLAliasExists(data, aliasDomain):
try:
for items in data:
if items.strip(',').strip('\n') == aliasDomain:
return 1
return 0
except BaseException as msg:
logging.CyberCPLogFileWriter.writeToFile(str(msg) + " [checkIfSSLAliasExists]")
return 1
@staticmethod
def createAliasSSLMap(confPath, masterDomain, aliasDomain):
try:
data = open(confPath, 'r').readlines()
writeToFile = open(confPath, 'w')
sslCheck = 0
for items in data:
if (items.find("listener SSL") > -1):
sslCheck = 1
if items.find(masterDomain) > -1 and items.find('map') > -1 and sslCheck == 1:
data = [_f for _f in items.split(" ") if _f]
if data[1] == masterDomain:
if vhost.checkIfSSLAliasExists(data, aliasDomain) == 0:
writeToFile.writelines(items.rstrip('\n') + ", " + aliasDomain + "\n")
sslCheck = 0
else:
writeToFile.writelines(items)
else:
writeToFile.writelines(items)
writeToFile.close()
installUtilities.installUtilities.reStartLiteSpeed()
except BaseException as msg:
logging.CyberCPLogFileWriter.writeToFile(str(msg) + " [createAliasSSLMap]")
## Child Domain Functions
@staticmethod
def finalizeDomainCreation(virtualHostUser, path):
try:
FNULL = open(os.devnull, 'w')
shutil.copy("/usr/local/CyberCP/index.html", path + "/index.html")
command = "chown " + virtualHostUser + ":" + virtualHostUser + " " + path + "/index.html"
cmd = shlex.split(command)
subprocess.call(cmd, stdout=FNULL, stderr=subprocess.STDOUT)
vhostPath = vhost.Server_root + "/conf/vhosts"
command = "chown -R " + "lsadm" + ":" + "lsadm" + " " + vhostPath
cmd = shlex.split(command)
subprocess.call(cmd, stdout=FNULL, stderr=subprocess.STDOUT)
except BaseException as msg:
logging.CyberCPLogFileWriter.writeToFile(str(msg) + " [finalizeDomainCreation]")
@staticmethod
def createDirectoryForDomain(masterDomain, domain, phpVersion, path, administratorEmail, virtualHostUser,
openBasedir):
FNULL = open(os.devnull, 'w')
confPath = vhost.Server_root + "/conf/vhosts/" + domain
completePathToConfigFile = confPath + "/vhost.conf"
try:
os.makedirs(path)
if ProcessUtilities.decideDistro() == ProcessUtilities.centos:
groupName = 'nobody'
else:
groupName = 'nogroup'
command = "chown " + virtualHostUser + ":%s " % (groupName) + path
cmd = shlex.split(command)
subprocess.call(cmd, stdout=FNULL, stderr=subprocess.STDOUT)
command = "chmod 755 %s" % (path)
cmd = shlex.split(command)
subprocess.call(cmd, stdout=FNULL, stderr=subprocess.STDOUT)
except OSError as msg:
logging.CyberCPLogFileWriter.writeToFile(
str(msg) + "329 [Not able to create directories for virtual host [createDirectoryForDomain]]")
try:
## For configuration files permissions will be changed later globally.
os.makedirs(confPath)
except OSError as msg:
logging.CyberCPLogFileWriter.writeToFile(
str(msg) + "335 [Not able to create directories for virtual host [createDirectoryForDomain]]")
return [0, "[344 Not able to directories for virtual host [createDirectoryForDomain]]"]
try:
## For configuration files permissions will be changed later globally.
file = open(completePathToConfigFile, "w+")
except IOError as msg:
logging.CyberCPLogFileWriter.writeToFile(str(msg) + " [createDirectoryForDomain]]")
return [0, "[351 Not able to directories for virtual host [createDirectoryForDomain]]"]
if vhost.perHostDomainConf(path, masterDomain, domain, completePathToConfigFile,
administratorEmail, phpVersion, virtualHostUser, openBasedir) == 1:
return [1, "None"]
else:
return [0, "[359 Not able to create per host virtual configurations [createDirectoryForDomain]"]
@staticmethod
def perHostDomainConf(path, masterDomain, domain, vhFile, administratorEmail, phpVersion, virtualHostUser, openBasedir):
if ProcessUtilities.decideServer() == ProcessUtilities.OLS:
try:
php = PHPManager.getPHPString(phpVersion)
externalApp = virtualHostUser + str(randint(1000, 9999))
currentConf = vhostConfs.olsChildConf
currentConf = currentConf.replace('{path}', path)
currentConf = currentConf.replace('{masterDomain}', masterDomain)
currentConf = currentConf.replace('{adminEmails}', administratorEmail)
currentConf = currentConf.replace('{externalApp}', externalApp)
currentConf = currentConf.replace('{externalAppMaster}', virtualHostUser)
currentConf = currentConf.replace('{php}', php)
currentConf = currentConf.replace('{adminEmails}', administratorEmail)
currentConf = currentConf.replace('{php}', php)
if openBasedir == 1:
currentConf = currentConf.replace('{open_basedir}', 'php_admin_value open_basedir "/tmp:$VH_ROOT"')
else:
currentConf = currentConf.replace('{open_basedir}', '')
confFile = open(vhFile, "w+")
confFile.write(currentConf)
confFile.close()
except BaseException as msg:
logging.CyberCPLogFileWriter.writeToFile(
str(msg) + " [IO Error with per host config file [perHostDomainConf]]")
return 0
return 1
else:
try:
if not os.path.exists(vhost.redisConf):
confFile = open(vhFile, "w+")
php = PHPManager.getPHPString(phpVersion)
currentConf = vhostConfs.lswsChildConf
currentConf = currentConf.replace('{virtualHostName}', domain)
currentConf = currentConf.replace('{masterDomain}', masterDomain)
currentConf = currentConf.replace('{administratorEmail}', administratorEmail)
currentConf = currentConf.replace('{externalApp}', virtualHostUser)
currentConf = currentConf.replace('{path}', path)
currentConf = currentConf.replace('{php}', php)
confFile.write(currentConf)
confFile.close()
else:
## Non www
currentConf = vhostConfs.lswsRediConfChild
currentConf = currentConf.replace('{virtualHostName}', domain)
currentConf = currentConf.replace('{masterDomain}', masterDomain)
currentConf = currentConf.replace('{administratorEmail}', administratorEmail)
currentConf = currentConf.replace('{path}', path)
currentConf = currentConf.replace('{externalApp}', virtualHostUser)
currentConf = currentConf.replace('{php}', phpVersion.lstrip('PHP '))
currentConf = currentConf.replace('{uid}', str(pwd.getpwnam(virtualHostUser).pw_uid))
currentConf = currentConf.replace('{gid}', str(grp.getgrnam(virtualHostUser).gr_gid))
command = 'redis-cli set %s' % (currentConf)
ProcessUtilities.executioner(command)
## www
currentConf = vhostConfs.lswsRediConfChildWWW
currentConf = currentConf.replace('{virtualHostName}', 'www.%s' % (domain))
currentConf = currentConf.replace('{masterDomain}', masterDomain)
currentConf = currentConf.replace('{administratorEmail}', administratorEmail)
currentConf = currentConf.replace('{path}', path)
currentConf = currentConf.replace('{externalApp}', virtualHostUser)
currentConf = currentConf.replace('{php}', phpVersion.lstrip('PHP '))
currentConf = currentConf.replace('{uid}', str(pwd.getpwnam(virtualHostUser).pw_uid))
currentConf = currentConf.replace('{gid}', str(grp.getgrnam(virtualHostUser).gr_gid))
command = 'redis-cli set %s' % (currentConf)
ProcessUtilities.executioner(command)
except BaseException as msg:
logging.CyberCPLogFileWriter.writeToFile(
str(msg) + " [IO Error with per host config file [perHostDomainConf]]")
return 0
return 1
@staticmethod
def createConfigInMainDomainHostFile(domain, masterDomain):
if ProcessUtilities.decideServer() == ProcessUtilities.OLS:
try:
if vhost.createNONSSLMapEntry(domain) == 0:
return [0, "Failed to create NON SSL Map Entry [createConfigInMainVirtualHostFile]"]
writeDataToFile = open("/usr/local/lsws/conf/httpd_config.conf", 'a')
currentConf = vhostConfs.olsChildMainConf
currentConf = currentConf.replace('{virtualHostName}', domain)
currentConf = currentConf.replace('{masterDomain}', masterDomain)
writeDataToFile.write(currentConf)
writeDataToFile.close()
return [1, "None"]
except BaseException as msg:
logging.CyberCPLogFileWriter.writeToFile(
str(msg) + "223 [IO Error with main config file [createConfigInMainDomainHostFile]]")
return [0, "223 [IO Error with main config file [createConfigInMainDomainHostFile]]"]
else:
try:
writeDataToFile = open("/usr/local/lsws/conf/httpd.conf", 'a')
configFile = 'Include /usr/local/lsws/conf/vhosts/' + domain + '/vhost.conf\n'
writeDataToFile.writelines(configFile)
writeDataToFile.close()
return [1, "None"]
except BaseException as msg:
logging.CyberCPLogFileWriter.writeToFile(
str(msg) + "223 [IO Error with main config file [createConfigInMainDomainHostFile]]")
return [0, "223 [IO Error with main config file [createConfigInMainDomainHostFile]]"]
| 41.372047 | 149 | 0.560142 | 3,475 | 42,034 | 6.762302 | 0.103597 | 0.055236 | 0.072812 | 0.050385 | 0.756798 | 0.722967 | 0.689434 | 0.660964 | 0.625388 | 0.601813 | 0 | 0.009246 | 0.343888 | 42,034 | 1,015 | 150 | 41.412808 | 0.842815 | 0.018128 | 0 | 0.720109 | 0 | 0 | 0.152812 | 0.033993 | 0.005435 | 0 | 0 | 0 | 0 | 1 | 0.03125 | false | 0.009511 | 0.028533 | 0 | 0.146739 | 0.017663 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 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 | 3 |
a1ee69696f35228df34de656c28f874e810cd996 | 279 | py | Python | web/verify.py | bzd111/oh-my-rss | e81beb66e5e51f8a7d100b2c506111138d17451a | [
"MIT"
] | null | null | null | web/verify.py | bzd111/oh-my-rss | e81beb66e5e51f8a7d100b2c506111138d17451a | [
"MIT"
] | null | null | null | web/verify.py | bzd111/oh-my-rss | e81beb66e5e51f8a7d100b2c506111138d17451a | [
"MIT"
] | null | null | null | from django.http import HttpResponseForbidden
def verify_request(func):
"""
verify user request
"""
def wrapper(request):
if not request.POST.get('uid', ''):
return HttpResponseForbidden()
return func(request)
return wrapper
| 16.411765 | 45 | 0.62724 | 28 | 279 | 6.214286 | 0.607143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.275986 | 279 | 16 | 46 | 17.4375 | 0.861386 | 0.0681 | 0 | 0 | 0 | 0 | 0.012397 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0.142857 | 0 | 0.857143 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
b803012fe5a7d1f802d9306cd1bc2613b7fa5585 | 3,726 | py | Python | pycatia/knowledge_interfaces/knowledge_activate_object.py | evereux/catia_python | 08948585899b12587b0415ce3c9191a408b34897 | [
"MIT"
] | 90 | 2019-02-21T10:05:28.000Z | 2022-03-19T01:53:41.000Z | pycatia/knowledge_interfaces/knowledge_activate_object.py | Luanee/pycatia | ea5eef8178f73de12404561c00baf7a7ca30da59 | [
"MIT"
] | 99 | 2019-05-21T08:29:12.000Z | 2022-03-25T09:55:15.000Z | pycatia/knowledge_interfaces/knowledge_activate_object.py | Luanee/pycatia | ea5eef8178f73de12404561c00baf7a7ca30da59 | [
"MIT"
] | 26 | 2019-04-04T06:31:36.000Z | 2022-03-30T07:24:47.000Z | #! usr/bin/python3.6
"""
Module initially auto generated using V5Automation files from CATIA V5 R28 on 2020-06-11 12:40:47.360445
.. warning::
The notes denoted "CAA V5 Visual Basic Help" are to be used as reference only.
They are there as a guide as to how the visual basic / catscript functions work
and thus help debugging in pycatia.
"""
from pycatia.knowledge_interfaces.knowledge_object import KnowledgeObject
class KnowledgeActivateObject(KnowledgeObject):
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-06-11 12:40:47.360445)
| System.IUnknown
| System.IDispatch
| System.CATBaseUnknown
| System.CATBaseDispatch
| System.AnyObject
| KnowledgeInterfaces.KnowledgeObject
| KnowledgeActivateObject
|
| Interface to access a CATIAKnowledgeActivableObject.
"""
def __init__(self, com_object):
super().__init__(com_object)
self.knowledge_activate_object = com_object
@property
def activated(self) -> bool:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-06-11 12:40:47.360445)
| o Property Activated() As boolean (Read Only)
|
| Returns whether the relation is activated.
| True if the relation is activated. An activated relation is processed
| whenever the value of one of its input parameter is
| modified.
|
| Example:
| This example retrieves whether the maximummass relation is activated,
| and if true, displays the result in a message box:
|
| If ( maximummass.Activated ) Then
| MsgBox "maximummass is activated"
| End If
:return: bool
:rtype: bool
"""
return self.knowledge_activate_object.Activated
def activate(self) -> None:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-06-11 12:40:47.360445))
| o Sub Activate()
|
| Activates the relation. The relation will be processed whenever the value
| of one of its input parameter is modified.
|
| Example:
| This example activates the maximummass relation:
|
| maximummass.Activate()
:return: None
:rtype: None
"""
return self.knowledge_activate_object.Activate()
def deactivate(self) -> None:
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-06-11 12:40:47.360445))
| o Sub Deactivate()
|
| Deactivates the relation. The relation will no longer be processed when the
| value of one of its input parameter is modified.
|
| Example:
| This example deactivates the maximummass relation:
|
| maximummass.Deactivate()
:return: None
:rtype: None
"""
return self.knowledge_activate_object.Deactivate()
def __repr__(self):
return f'KnowledgeActivateObject(name="{ self.name }")'
| 33.567568 | 108 | 0.506978 | 345 | 3,726 | 5.402899 | 0.356522 | 0.035408 | 0.021459 | 0.026824 | 0.369099 | 0.312768 | 0.312768 | 0.302039 | 0.302039 | 0.246245 | 0 | 0.051845 | 0.425389 | 3,726 | 110 | 109 | 33.872727 | 0.818776 | 0.670156 | 0 | 0 | 1 | 0 | 0.067771 | 0.046687 | 0 | 0 | 0 | 0 | 0 | 1 | 0.357143 | false | 0 | 0.071429 | 0.071429 | 0.785714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
b80870a0c7b59e072a80d92516b1cea8e83af866 | 145 | py | Python | 6KYU/is_prime.py | yaznasivasai/python_codewars | 25493591dde4649dc9c1ec3bece8191a3bed6818 | [
"MIT"
] | 4 | 2021-07-17T22:48:03.000Z | 2022-03-25T14:10:58.000Z | 6KYU/is_prime.py | yaznasivasai/python_codewars | 25493591dde4649dc9c1ec3bece8191a3bed6818 | [
"MIT"
] | null | null | null | 6KYU/is_prime.py | yaznasivasai/python_codewars | 25493591dde4649dc9c1ec3bece8191a3bed6818 | [
"MIT"
] | 3 | 2021-06-14T14:18:16.000Z | 2022-03-16T06:02:02.000Z | def is_prime(num):
if num <= 1:
return False
d = 2
while d * d <= num and num % d != 0:
d += 1
return d * d > num | 20.714286 | 40 | 0.441379 | 25 | 145 | 2.52 | 0.52 | 0.222222 | 0.15873 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.04878 | 0.434483 | 145 | 7 | 41 | 20.714286 | 0.719512 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0 | 0 | 0.428571 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
6297f326a0bb92b7ea38d33b46f5792ba2473d47 | 499 | py | Python | accepted/Find_All_Numbers_Disappeared_in_Array.py | sheagk/leetcode_solutions | 7571bd13f4274f6b4b622b43a414d56fc26d3be0 | [
"MIT"
] | null | null | null | accepted/Find_All_Numbers_Disappeared_in_Array.py | sheagk/leetcode_solutions | 7571bd13f4274f6b4b622b43a414d56fc26d3be0 | [
"MIT"
] | null | null | null | accepted/Find_All_Numbers_Disappeared_in_Array.py | sheagk/leetcode_solutions | 7571bd13f4274f6b4b622b43a414d56fc26d3be0 | [
"MIT"
] | 1 | 2020-09-03T14:26:00.000Z | 2020-09-03T14:26:00.000Z | ## https://leetcode.com/submissions/detail/230651834/
## problem is to find the numbers between 1 and length of the
## array that aren't in the array. simple way to do that is to
## do the set difference between range(1, len(ar)+1) and the
## input numbers
## hits 98th percentile in terms of runtime, though only
## 14th percentile in memory usage
class Solution:
def findDisappearedNumbers(self, nums: List[int]) -> List[int]:
return list(set(range(1, len(nums)+1)) - set(nums)) | 38.384615 | 67 | 0.709419 | 80 | 499 | 4.425 | 0.625 | 0.022599 | 0.050847 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043902 | 0.178357 | 499 | 13 | 68 | 38.384615 | 0.819512 | 0.663327 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0.333333 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
62a6274e4ab46635bafe5141a202e2107793372e | 206 | py | Python | xmemeAPI/admin.py | sukanta-nandi/XMEME-Backend | a532cfca17ccde0aae9faf2a4b937644f61b9894 | [
"MIT"
] | null | null | null | xmemeAPI/admin.py | sukanta-nandi/XMEME-Backend | a532cfca17ccde0aae9faf2a4b937644f61b9894 | [
"MIT"
] | null | null | null | xmemeAPI/admin.py | sukanta-nandi/XMEME-Backend | a532cfca17ccde0aae9faf2a4b937644f61b9894 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import memeData
# Register your models here.
@admin.register(memeData)
class memeDataAdmin(admin.ModelAdmin):
list_display = ['id', 'name']
#pass
| 20.6 | 38 | 0.728155 | 25 | 206 | 5.96 | 0.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.169903 | 206 | 10 | 39 | 20.6 | 0.871345 | 0.145631 | 0 | 0 | 0 | 0 | 0.034483 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.4 | 0 | 0.8 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
62c200b5cdc57483caa359cc9d19aa50b3e6655f | 497 | py | Python | Ejercicios para practicar/Cadenas/Ejercicio 3.py | AlexPC23/Python | 77689d74c5444faa1aa253a122602307e52ac581 | [
"Apache-2.0"
] | null | null | null | Ejercicios para practicar/Cadenas/Ejercicio 3.py | AlexPC23/Python | 77689d74c5444faa1aa253a122602307e52ac581 | [
"Apache-2.0"
] | null | null | null | Ejercicios para practicar/Cadenas/Ejercicio 3.py | AlexPC23/Python | 77689d74c5444faa1aa253a122602307e52ac581 | [
"Apache-2.0"
] | null | null | null | #Escribir un programa que pregunte el nombre completo del usuario en la consola y después muestre por pantalla el nombre completo del usuario tres veces, una con todas las letras minúsculas, otra con todas las letras mayúsculas y otra solo con la primera letra del nombre y de los apellidos en mayúscula. El usuario puede introducir su nombre combinando mayúsculas y minúsculas como quiera.
nombre = str(input('¿Como te llamas?: '))
print(nombre.upper() + ' tiene ' + str(len(nombre)) + ' letras') | 165.666667 | 390 | 0.778672 | 79 | 497 | 4.911392 | 0.632911 | 0.041237 | 0.082474 | 0.097938 | 0.134021 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.158954 | 497 | 3 | 391 | 165.666667 | 0.925837 | 0.782696 | 0 | 0 | 0 | 0 | 0.296296 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.5 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
62c4e2a641c937e152a6639d961812119ca22d47 | 277 | py | Python | endpoints/cotect-endpoints/cotect_endpoints/local_test.py | JNKielmann/cotect | 1b213459b41ef18119948633385ebad2cc16e9e2 | [
"MIT"
] | 19 | 2020-03-18T15:49:58.000Z | 2021-02-11T12:07:22.000Z | endpoints/cotect-endpoints/cotect_endpoints/local_test.py | JNKielmann/cotect | 1b213459b41ef18119948633385ebad2cc16e9e2 | [
"MIT"
] | 6 | 2020-03-21T18:50:29.000Z | 2022-02-27T01:38:20.000Z | endpoints/cotect-endpoints/cotect_endpoints/local_test.py | JNKielmann/cotect | 1b213459b41ef18119948633385ebad2cc16e9e2 | [
"MIT"
] | 7 | 2020-03-24T14:42:35.000Z | 2020-04-06T13:22:29.000Z | import os
os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = "/workspace/firebase-secret.json"
os.environ["ID_GENERATION_SECRET"] = "secret"
os.environ["NEO4J_URI"] = "bolt://docker.for.mac.localhost:7687"
os.environ["NEO4J_AUTH"] = ""
from cotect_endpoints.endpoints import app
| 30.777778 | 80 | 0.768953 | 37 | 277 | 5.567568 | 0.675676 | 0.174757 | 0.135922 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023346 | 0.072202 | 277 | 8 | 81 | 34.625 | 0.77821 | 0 | 0 | 0 | 0 | 0 | 0.512635 | 0.350181 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.333333 | 0 | 0.333333 | 0 | 0 | 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 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
62c8a9488ea348f6324d1c7461f6119553870629 | 25,023 | py | Python | lte/protos/sctpd_pb2.py | aweimeow/enodebd | e1cd20693153e6b85e5d1bf9d21af2501c358601 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | lte/protos/sctpd_pb2.py | aweimeow/enodebd | e1cd20693153e6b85e5d1bf9d21af2501c358601 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | lte/protos/sctpd_pb2.py | aweimeow/enodebd | e1cd20693153e6b85e5d1bf9d21af2501c358601 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: lte/protos/sctpd.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name='lte/protos/sctpd.proto',
package='magma.sctpd',
syntax='proto3',
serialized_options=b'Z\031magma/lte/cloud/go/protos',
create_key=_descriptor._internal_create_key,
serialized_pb=b'\n\x16lte/protos/sctpd.proto\x12\x0bmagma.sctpd\"\x88\x01\n\x07InitReq\x12\x10\n\x08use_ipv4\x18\x01 \x01(\x08\x12\x10\n\x08use_ipv6\x18\x02 \x01(\x08\x12\x12\n\nipv4_addrs\x18\x03 \x03(\t\x12\x12\n\nipv6_addrs\x18\x04 \x03(\t\x12\x0c\n\x04port\x18\x05 \x01(\r\x12\x0c\n\x04ppid\x18\x06 \x01(\r\x12\x15\n\rforce_restart\x18\x07 \x01(\x08\"v\n\x07InitRes\x12/\n\x06result\x18\x01 \x01(\x0e\x32\x1f.magma.sctpd.InitRes.InitResult\":\n\nInitResult\x12\x10\n\x0cINIT_UNKNOWN\x10\x00\x12\x0b\n\x07INIT_OK\x10\x01\x12\r\n\tINIT_FAIL\x10\x02\"L\n\tSendDlReq\x12\x10\n\x08\x61ssoc_id\x18\x01 \x01(\r\x12\x0e\n\x06stream\x18\x02 \x01(\r\x12\x0f\n\x07payload\x18\x03 \x01(\x0c\x12\x0c\n\x04ppid\x18\x04 \x01(\r\"\x87\x01\n\tSendDlRes\x12\x33\n\x06result\x18\x01 \x01(\x0e\x32#.magma.sctpd.SendDlRes.SendDlResult\"E\n\x0cSendDlResult\x12\x13\n\x0fSEND_DL_UNKNOWN\x10\x00\x12\x0e\n\nSEND_DL_OK\x10\x01\x12\x10\n\x0cSEND_DL_FAIL\x10\x02\"L\n\tSendUlReq\x12\x10\n\x08\x61ssoc_id\x18\x01 \x01(\r\x12\x0e\n\x06stream\x18\x02 \x01(\r\x12\x0f\n\x07payload\x18\x03 \x01(\x0c\x12\x0c\n\x04ppid\x18\x04 \x01(\r\"\x0b\n\tSendUlRes\"k\n\x0bNewAssocReq\x12\x10\n\x08\x61ssoc_id\x18\x01 \x01(\r\x12\x11\n\tinstreams\x18\x02 \x01(\r\x12\x12\n\noutstreams\x18\x03 \x01(\r\x12\x15\n\rran_cp_ipaddr\x18\x04 \x01(\x0c\x12\x0c\n\x04ppid\x18\x05 \x01(\r\"\r\n\x0bNewAssocRes\"A\n\rCloseAssocReq\x12\x10\n\x08\x61ssoc_id\x18\x01 \x01(\r\x12\x10\n\x08is_reset\x18\x02 \x01(\x08\x12\x0c\n\x04ppid\x18\x03 \x01(\r\"\x0f\n\rCloseAssocRes2\x81\x01\n\rSctpdDownlink\x12\x34\n\x04Init\x12\x14.magma.sctpd.InitReq\x1a\x14.magma.sctpd.InitRes\"\x00\x12:\n\x06SendDl\x12\x16.magma.sctpd.SendDlReq\x1a\x16.magma.sctpd.SendDlRes\"\x00\x32\xd3\x01\n\x0bSctpdUplink\x12:\n\x06SendUl\x12\x16.magma.sctpd.SendUlReq\x1a\x16.magma.sctpd.SendUlRes\"\x00\x12@\n\x08NewAssoc\x12\x18.magma.sctpd.NewAssocReq\x1a\x18.magma.sctpd.NewAssocRes\"\x00\x12\x46\n\nCloseAssoc\x12\x1a.magma.sctpd.CloseAssocReq\x1a\x1a.magma.sctpd.CloseAssocRes\"\x00\x42\x1bZ\x19magma/lte/cloud/go/protosb\x06proto3'
)
_INITRES_INITRESULT = _descriptor.EnumDescriptor(
name='InitResult',
full_name='magma.sctpd.InitRes.InitResult',
filename=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
values=[
_descriptor.EnumValueDescriptor(
name='INIT_UNKNOWN', index=0, number=0,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INIT_OK', index=1, number=1,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='INIT_FAIL', index=2, number=2,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
],
containing_type=None,
serialized_options=None,
serialized_start=238,
serialized_end=296,
)
_sym_db.RegisterEnumDescriptor(_INITRES_INITRESULT)
_SENDDLRES_SENDDLRESULT = _descriptor.EnumDescriptor(
name='SendDlResult',
full_name='magma.sctpd.SendDlRes.SendDlResult',
filename=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
values=[
_descriptor.EnumValueDescriptor(
name='SEND_DL_UNKNOWN', index=0, number=0,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='SEND_DL_OK', index=1, number=1,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
_descriptor.EnumValueDescriptor(
name='SEND_DL_FAIL', index=2, number=2,
serialized_options=None,
type=None,
create_key=_descriptor._internal_create_key),
],
containing_type=None,
serialized_options=None,
serialized_start=443,
serialized_end=512,
)
_sym_db.RegisterEnumDescriptor(_SENDDLRES_SENDDLRESULT)
_INITREQ = _descriptor.Descriptor(
name='InitReq',
full_name='magma.sctpd.InitReq',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='use_ipv4', full_name='magma.sctpd.InitReq.use_ipv4', index=0,
number=1, type=8, cpp_type=7, label=1,
has_default_value=False, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='use_ipv6', full_name='magma.sctpd.InitReq.use_ipv6', index=1,
number=2, type=8, cpp_type=7, label=1,
has_default_value=False, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='ipv4_addrs', full_name='magma.sctpd.InitReq.ipv4_addrs', index=2,
number=3, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='ipv6_addrs', full_name='magma.sctpd.InitReq.ipv6_addrs', index=3,
number=4, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='port', full_name='magma.sctpd.InitReq.port', index=4,
number=5, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='ppid', full_name='magma.sctpd.InitReq.ppid', index=5,
number=6, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='force_restart', full_name='magma.sctpd.InitReq.force_restart', index=6,
number=7, type=8, cpp_type=7, label=1,
has_default_value=False, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=40,
serialized_end=176,
)
_INITRES = _descriptor.Descriptor(
name='InitRes',
full_name='magma.sctpd.InitRes',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='result', full_name='magma.sctpd.InitRes.result', index=0,
number=1, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
_INITRES_INITRESULT,
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=178,
serialized_end=296,
)
_SENDDLREQ = _descriptor.Descriptor(
name='SendDlReq',
full_name='magma.sctpd.SendDlReq',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='assoc_id', full_name='magma.sctpd.SendDlReq.assoc_id', index=0,
number=1, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='stream', full_name='magma.sctpd.SendDlReq.stream', index=1,
number=2, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='payload', full_name='magma.sctpd.SendDlReq.payload', index=2,
number=3, type=12, cpp_type=9, label=1,
has_default_value=False, default_value=b"",
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='ppid', full_name='magma.sctpd.SendDlReq.ppid', index=3,
number=4, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=298,
serialized_end=374,
)
_SENDDLRES = _descriptor.Descriptor(
name='SendDlRes',
full_name='magma.sctpd.SendDlRes',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='result', full_name='magma.sctpd.SendDlRes.result', index=0,
number=1, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
_SENDDLRES_SENDDLRESULT,
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=377,
serialized_end=512,
)
_SENDULREQ = _descriptor.Descriptor(
name='SendUlReq',
full_name='magma.sctpd.SendUlReq',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='assoc_id', full_name='magma.sctpd.SendUlReq.assoc_id', index=0,
number=1, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='stream', full_name='magma.sctpd.SendUlReq.stream', index=1,
number=2, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='payload', full_name='magma.sctpd.SendUlReq.payload', index=2,
number=3, type=12, cpp_type=9, label=1,
has_default_value=False, default_value=b"",
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='ppid', full_name='magma.sctpd.SendUlReq.ppid', index=3,
number=4, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=514,
serialized_end=590,
)
_SENDULRES = _descriptor.Descriptor(
name='SendUlRes',
full_name='magma.sctpd.SendUlRes',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=592,
serialized_end=603,
)
_NEWASSOCREQ = _descriptor.Descriptor(
name='NewAssocReq',
full_name='magma.sctpd.NewAssocReq',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='assoc_id', full_name='magma.sctpd.NewAssocReq.assoc_id', index=0,
number=1, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='instreams', full_name='magma.sctpd.NewAssocReq.instreams', index=1,
number=2, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='outstreams', full_name='magma.sctpd.NewAssocReq.outstreams', index=2,
number=3, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='ran_cp_ipaddr', full_name='magma.sctpd.NewAssocReq.ran_cp_ipaddr', index=3,
number=4, type=12, cpp_type=9, label=1,
has_default_value=False, default_value=b"",
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='ppid', full_name='magma.sctpd.NewAssocReq.ppid', index=4,
number=5, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=605,
serialized_end=712,
)
_NEWASSOCRES = _descriptor.Descriptor(
name='NewAssocRes',
full_name='magma.sctpd.NewAssocRes',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=714,
serialized_end=727,
)
_CLOSEASSOCREQ = _descriptor.Descriptor(
name='CloseAssocReq',
full_name='magma.sctpd.CloseAssocReq',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='assoc_id', full_name='magma.sctpd.CloseAssocReq.assoc_id', index=0,
number=1, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='is_reset', full_name='magma.sctpd.CloseAssocReq.is_reset', index=1,
number=2, type=8, cpp_type=7, label=1,
has_default_value=False, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='ppid', full_name='magma.sctpd.CloseAssocReq.ppid', index=2,
number=3, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=729,
serialized_end=794,
)
_CLOSEASSOCRES = _descriptor.Descriptor(
name='CloseAssocRes',
full_name='magma.sctpd.CloseAssocRes',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=796,
serialized_end=811,
)
_INITRES.fields_by_name['result'].enum_type = _INITRES_INITRESULT
_INITRES_INITRESULT.containing_type = _INITRES
_SENDDLRES.fields_by_name['result'].enum_type = _SENDDLRES_SENDDLRESULT
_SENDDLRES_SENDDLRESULT.containing_type = _SENDDLRES
DESCRIPTOR.message_types_by_name['InitReq'] = _INITREQ
DESCRIPTOR.message_types_by_name['InitRes'] = _INITRES
DESCRIPTOR.message_types_by_name['SendDlReq'] = _SENDDLREQ
DESCRIPTOR.message_types_by_name['SendDlRes'] = _SENDDLRES
DESCRIPTOR.message_types_by_name['SendUlReq'] = _SENDULREQ
DESCRIPTOR.message_types_by_name['SendUlRes'] = _SENDULRES
DESCRIPTOR.message_types_by_name['NewAssocReq'] = _NEWASSOCREQ
DESCRIPTOR.message_types_by_name['NewAssocRes'] = _NEWASSOCRES
DESCRIPTOR.message_types_by_name['CloseAssocReq'] = _CLOSEASSOCREQ
DESCRIPTOR.message_types_by_name['CloseAssocRes'] = _CLOSEASSOCRES
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
InitReq = _reflection.GeneratedProtocolMessageType('InitReq', (_message.Message,), {
'DESCRIPTOR' : _INITREQ,
'__module__' : 'lte.protos.sctpd_pb2'
# @@protoc_insertion_point(class_scope:magma.sctpd.InitReq)
})
_sym_db.RegisterMessage(InitReq)
InitRes = _reflection.GeneratedProtocolMessageType('InitRes', (_message.Message,), {
'DESCRIPTOR' : _INITRES,
'__module__' : 'lte.protos.sctpd_pb2'
# @@protoc_insertion_point(class_scope:magma.sctpd.InitRes)
})
_sym_db.RegisterMessage(InitRes)
SendDlReq = _reflection.GeneratedProtocolMessageType('SendDlReq', (_message.Message,), {
'DESCRIPTOR' : _SENDDLREQ,
'__module__' : 'lte.protos.sctpd_pb2'
# @@protoc_insertion_point(class_scope:magma.sctpd.SendDlReq)
})
_sym_db.RegisterMessage(SendDlReq)
SendDlRes = _reflection.GeneratedProtocolMessageType('SendDlRes', (_message.Message,), {
'DESCRIPTOR' : _SENDDLRES,
'__module__' : 'lte.protos.sctpd_pb2'
# @@protoc_insertion_point(class_scope:magma.sctpd.SendDlRes)
})
_sym_db.RegisterMessage(SendDlRes)
SendUlReq = _reflection.GeneratedProtocolMessageType('SendUlReq', (_message.Message,), {
'DESCRIPTOR' : _SENDULREQ,
'__module__' : 'lte.protos.sctpd_pb2'
# @@protoc_insertion_point(class_scope:magma.sctpd.SendUlReq)
})
_sym_db.RegisterMessage(SendUlReq)
SendUlRes = _reflection.GeneratedProtocolMessageType('SendUlRes', (_message.Message,), {
'DESCRIPTOR' : _SENDULRES,
'__module__' : 'lte.protos.sctpd_pb2'
# @@protoc_insertion_point(class_scope:magma.sctpd.SendUlRes)
})
_sym_db.RegisterMessage(SendUlRes)
NewAssocReq = _reflection.GeneratedProtocolMessageType('NewAssocReq', (_message.Message,), {
'DESCRIPTOR' : _NEWASSOCREQ,
'__module__' : 'lte.protos.sctpd_pb2'
# @@protoc_insertion_point(class_scope:magma.sctpd.NewAssocReq)
})
_sym_db.RegisterMessage(NewAssocReq)
NewAssocRes = _reflection.GeneratedProtocolMessageType('NewAssocRes', (_message.Message,), {
'DESCRIPTOR' : _NEWASSOCRES,
'__module__' : 'lte.protos.sctpd_pb2'
# @@protoc_insertion_point(class_scope:magma.sctpd.NewAssocRes)
})
_sym_db.RegisterMessage(NewAssocRes)
CloseAssocReq = _reflection.GeneratedProtocolMessageType('CloseAssocReq', (_message.Message,), {
'DESCRIPTOR' : _CLOSEASSOCREQ,
'__module__' : 'lte.protos.sctpd_pb2'
# @@protoc_insertion_point(class_scope:magma.sctpd.CloseAssocReq)
})
_sym_db.RegisterMessage(CloseAssocReq)
CloseAssocRes = _reflection.GeneratedProtocolMessageType('CloseAssocRes', (_message.Message,), {
'DESCRIPTOR' : _CLOSEASSOCRES,
'__module__' : 'lte.protos.sctpd_pb2'
# @@protoc_insertion_point(class_scope:magma.sctpd.CloseAssocRes)
})
_sym_db.RegisterMessage(CloseAssocRes)
DESCRIPTOR._options = None
_SCTPDDOWNLINK = _descriptor.ServiceDescriptor(
name='SctpdDownlink',
full_name='magma.sctpd.SctpdDownlink',
file=DESCRIPTOR,
index=0,
serialized_options=None,
create_key=_descriptor._internal_create_key,
serialized_start=814,
serialized_end=943,
methods=[
_descriptor.MethodDescriptor(
name='Init',
full_name='magma.sctpd.SctpdDownlink.Init',
index=0,
containing_service=None,
input_type=_INITREQ,
output_type=_INITRES,
serialized_options=None,
create_key=_descriptor._internal_create_key,
),
_descriptor.MethodDescriptor(
name='SendDl',
full_name='magma.sctpd.SctpdDownlink.SendDl',
index=1,
containing_service=None,
input_type=_SENDDLREQ,
output_type=_SENDDLRES,
serialized_options=None,
create_key=_descriptor._internal_create_key,
),
])
_sym_db.RegisterServiceDescriptor(_SCTPDDOWNLINK)
DESCRIPTOR.services_by_name['SctpdDownlink'] = _SCTPDDOWNLINK
_SCTPDUPLINK = _descriptor.ServiceDescriptor(
name='SctpdUplink',
full_name='magma.sctpd.SctpdUplink',
file=DESCRIPTOR,
index=1,
serialized_options=None,
create_key=_descriptor._internal_create_key,
serialized_start=946,
serialized_end=1157,
methods=[
_descriptor.MethodDescriptor(
name='SendUl',
full_name='magma.sctpd.SctpdUplink.SendUl',
index=0,
containing_service=None,
input_type=_SENDULREQ,
output_type=_SENDULRES,
serialized_options=None,
create_key=_descriptor._internal_create_key,
),
_descriptor.MethodDescriptor(
name='NewAssoc',
full_name='magma.sctpd.SctpdUplink.NewAssoc',
index=1,
containing_service=None,
input_type=_NEWASSOCREQ,
output_type=_NEWASSOCRES,
serialized_options=None,
create_key=_descriptor._internal_create_key,
),
_descriptor.MethodDescriptor(
name='CloseAssoc',
full_name='magma.sctpd.SctpdUplink.CloseAssoc',
index=2,
containing_service=None,
input_type=_CLOSEASSOCREQ,
output_type=_CLOSEASSOCRES,
serialized_options=None,
create_key=_descriptor._internal_create_key,
),
])
_sym_db.RegisterServiceDescriptor(_SCTPDUPLINK)
DESCRIPTOR.services_by_name['SctpdUplink'] = _SCTPDUPLINK
# @@protoc_insertion_point(module_scope)
| 36.529927 | 2,054 | 0.74999 | 3,125 | 25,023 | 5.67456 | 0.08416 | 0.051768 | 0.08143 | 0.077652 | 0.713359 | 0.645971 | 0.632324 | 0.617493 | 0.617493 | 0.617493 | 0 | 0.034634 | 0.126524 | 25,023 | 684 | 2,055 | 36.583333 | 0.776685 | 0.03289 | 0 | 0.675806 | 1 | 0.001613 | 0.183995 | 0.13445 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.006452 | 0 | 0.006452 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
62dfad9618218c197076118daf8205205ec79a99 | 2,997 | py | Python | project/editorial/models/__init__.py | ProjectFacet/facet | dc6bc79d450f7e2bdf59cfbcd306d05a736e4db9 | [
"MIT"
] | 25 | 2015-07-13T22:16:36.000Z | 2021-11-11T02:45:32.000Z | project/editorial/models/__init__.py | ProjectFacet/facet | dc6bc79d450f7e2bdf59cfbcd306d05a736e4db9 | [
"MIT"
] | 74 | 2015-12-01T18:57:47.000Z | 2022-03-11T23:25:47.000Z | project/editorial/models/__init__.py | ProjectFacet/facet | dc6bc79d450f7e2bdf59cfbcd306d05a736e4db9 | [
"MIT"
] | 6 | 2016-01-08T21:12:43.000Z | 2019-05-20T16:07:56.000Z | """ Model for editorial application.
Models
======
People: User, Organization, Network
Contributors: ContributorInfo, OrganizationContributorInfo
Platforms: Platform, PlatformAccount
Projects: Project
Story: Story
Facet: FacetTemplate, Facet, FacetContributor, ContentLicense
- (Temp: Versions of above for web, print, audio, video facets)
Copy: StoryCopyDetail, FacetCopyDetail, ImageAssetCopyDetail,
DocumentAssetCopyDetail, AudioAssetCopyDetail, VideoAssetCopyDetail
- (Temp: Versions of above for web, print, audio, video facets)
Tasks: Task
Events: Event
Assets: BaseAsset, BaseAssetMetadata,
BaseImage, ImageAsset, SimpleImage,
BaseDocument, DocumentAsset, DocumentImage,
BaseAudio, AudioAsset, SimpleAudio,
BaseVideo, VideoAsset, SimpleVideo,
Notes: (Base)Note, NetworkNote, OrganizationNote, UserNote, ProjectNote, StoryNote
Discussion: Discussion, PrivateDiscussion, PrivateMessage, Comment, CommentReadStatus
"""
from .user import User
from .organization import Organization, OrganizationPublicProfile
from .network import Network
from .assets import ImageAsset, DocumentAsset, AudioAsset, VideoAsset
from .assets import SimpleImage, SimpleDocument, SimpleAudio, SimpleVideo
from .discussion import Discussion, Comment, PrivateMessage
from .projects import Project
from .story import Story
from .facets import Facet, FacetTemplate, ContentLicense
from .notes import Note
from .platforms import Platform, PlatformAccount
from .tasks import Task
from .events import Event
from .copy import * # XXX
from .contractors import ContractorProfile, TalentEditorProfile, OrganizationContractorAffiliation, Pitch, Call, Assignment
from .platforms import Platform, PlatformAccount
from .subscription import OrganizationSubscription, ContractorSubscription
#-----------------------------------------------------------------------#
# SOCIAL POST
#-----------------------------------------------------------------------#
# XXX Leaving this commented out for now to think about how to best
# relate or make use of Platform and PlatformAccount in the options.
# class SocialPost(models.Model):
# """A social post.
#
# A social post to promote a project, story or event.
# """
#
# FACEBOOK = 'Facebook'
# TWITTER = 'Twitter'
# INSTAGRAM = 'Instagram'
# SOCIAL_ACCOUNT_CHOICES = (
# (FACEBOOK, 'Facebook'),
# (TWITTER, 'Twitter'),
# (INSTAGRAM, 'Instagram'),
# )
#
# social_platform = models.CharField(
# max_length=50,
# choices=SOCIAL_ACCOUNT_CHOICES,
# help_text='Platform the post is created for.'
# )
#
# text = models.TextField(
# help_text='Content of the post.'
# )
#
# # a social post can be associated with a project, story or an event.
# # Add connection to P, Se, St, or E
#
# # Add Image assets for social posts to Assets section.
#
| 36.54878 | 123 | 0.682349 | 287 | 2,997 | 7.097561 | 0.480836 | 0.019637 | 0.0162 | 0.018655 | 0.143348 | 0.143348 | 0.098184 | 0.045164 | 0.045164 | 0.045164 | 0 | 0.00083 | 0.195529 | 2,997 | 81 | 124 | 37 | 0.844048 | 0.665999 | 0 | 0.117647 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
62e238270ed059d2479949cf0bad5480892fad83 | 597 | py | Python | optgbm/__init__.py | kmedved/OptGBM | 7f37f4becea3e6d23dbc663b0c2c212d54ae413c | [
"MIT"
] | 26 | 2019-09-17T06:16:40.000Z | 2022-01-08T01:17:40.000Z | optgbm/__init__.py | kmedved/OptGBM | 7f37f4becea3e6d23dbc663b0c2c212d54ae413c | [
"MIT"
] | 62 | 2019-09-16T17:33:37.000Z | 2021-06-18T00:31:38.000Z | optgbm/__init__.py | kmedved/OptGBM | 7f37f4becea3e6d23dbc663b0c2c212d54ae413c | [
"MIT"
] | 3 | 2020-01-25T05:44:14.000Z | 2021-10-01T04:12:29.000Z | """OptGBM package."""
import logging
from pkg_resources import DistributionNotFound
from pkg_resources import get_distribution
try:
distribution = get_distribution(__name__)
__version__ = distribution.version
except DistributionNotFound:
pass
from lightgbm import * # noqa
from . import basic # noqa
from . import compat # noqa
from . import sklearn # noqa
from . import typing # noqa
from . import utils # noqa
from .sklearn import * # noqa
logger = logging.getLogger(__name__)
handler = logging.StreamHandler()
logger.addHandler(handler)
logger.setLevel(logging.INFO)
| 20.586207 | 46 | 0.760469 | 68 | 597 | 6.441176 | 0.426471 | 0.109589 | 0.159817 | 0.100457 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.165829 | 597 | 28 | 47 | 21.321429 | 0.879518 | 0.085427 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.052632 | 0.526316 | 0 | 0.526316 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 3 |
62e60984c03d7d6173d5e1b94902e5e5564f46d7 | 503 | py | Python | countries/migrations/0006_auto_20180218_2036.py | kneirinck/django-countries-flavor | 446f1f8eccb40b2f1e413905d319a5dc19bbea3b | [
"MIT"
] | null | null | null | countries/migrations/0006_auto_20180218_2036.py | kneirinck/django-countries-flavor | 446f1f8eccb40b2f1e413905d319a5dc19bbea3b | [
"MIT"
] | null | null | null | countries/migrations/0006_auto_20180218_2036.py | kneirinck/django-countries-flavor | 446f1f8eccb40b2f1e413905d319a5dc19bbea3b | [
"MIT"
] | null | null | null | # Generated by Django 2.0.1 on 2018-02-18 20:36
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('countries', '0005_remove_locale_data'),
]
operations = [
migrations.RenameField(
model_name='country',
old_name='mpoly',
new_name='outlines',
),
migrations.RenameField(
model_name='division',
old_name='poly',
new_name='bbox',
),
]
| 20.958333 | 49 | 0.554672 | 50 | 503 | 5.4 | 0.72 | 0.155556 | 0.192593 | 0.222222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.056548 | 0.332008 | 503 | 23 | 50 | 21.869565 | 0.747024 | 0.089463 | 0 | 0.235294 | 1 | 0 | 0.149123 | 0.050439 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.058824 | 0 | 0.235294 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
62f5004bdab4005c86fc2d9311630af54d7663dc | 303 | py | Python | tests/test_version.py | fy0/querylayer | 424411a7d69ef2732b3c6e2f90030f93eb45f059 | [
"MIT"
] | 4 | 2020-11-09T03:11:45.000Z | 2021-04-21T12:37:12.000Z | tests/test_version.py | fy0/pycurd | 424411a7d69ef2732b3c6e2f90030f93eb45f059 | [
"MIT"
] | null | null | null | tests/test_version.py | fy0/pycurd | 424411a7d69ef2732b3c6e2f90030f93eb45f059 | [
"MIT"
] | 1 | 2022-03-27T06:43:21.000Z | 2022-03-27T06:43:21.000Z | import os
import re
from pycrud import __version__
def test_version():
project_file = open(os.path.abspath(os.path.join(os.path.dirname(__file__), '..', 'pyproject.toml')), 'r', encoding='utf-8').read()
m = re.search(r"version = \"(.+?)\"", project_file)
assert m.group(1) == __version__
| 27.545455 | 135 | 0.663366 | 43 | 303 | 4.325581 | 0.627907 | 0.096774 | 0.193548 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007663 | 0.138614 | 303 | 10 | 136 | 30.3 | 0.704981 | 0 | 0 | 0 | 0 | 0 | 0.108911 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 1 | 0.142857 | false | 0 | 0.428571 | 0 | 0.571429 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
62f79e9b7586592240ecaefc5a5f9f424eecd6a0 | 266 | py | Python | v2/crawlers/factory.py | DucPhamTV/MaiTet | 44a1465a3239808f6640592ba666d9c5449c0ef4 | [
"MIT"
] | null | null | null | v2/crawlers/factory.py | DucPhamTV/MaiTet | 44a1465a3239808f6640592ba666d9c5449c0ef4 | [
"MIT"
] | 15 | 2021-02-20T12:03:33.000Z | 2021-07-26T10:15:03.000Z | v2/crawlers/factory.py | DucPhamTV/MaiTet | 44a1465a3239808f6640592ba666d9c5449c0ef4 | [
"MIT"
] | null | null | null | from .simple_crawler import SimpleCrawler
class Factory:
def __init__(self, url):
self.url = url
@staticmethod
def create_crawler(url):
# TODO: Analyse url
# Hard code to return simple crawler
return SimpleCrawler(url)
| 20.461538 | 44 | 0.654135 | 31 | 266 | 5.419355 | 0.612903 | 0.154762 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.281955 | 266 | 12 | 45 | 22.166667 | 0.879581 | 0.195489 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.083333 | 0 | 1 | 0.285714 | false | 0 | 0.142857 | 0.142857 | 0.714286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 |
1a0188a2b25ce0ef3cf47b11f2718dba5c77a126 | 1,088 | py | Python | paddleseg/datasets/__init__.py | QinchengZhang/PaddleSeg | 73321822b3c6836540281f801e1e163abee91cdc | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | paddleseg/datasets/__init__.py | QinchengZhang/PaddleSeg | 73321822b3c6836540281f801e1e163abee91cdc | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | paddleseg/datasets/__init__.py | QinchengZhang/PaddleSeg | 73321822b3c6836540281f801e1e163abee91cdc | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
'''
Author: TJUZQC
Date: 2021-01-12 15:07:21
LastEditors: TJUZQC
LastEditTime: 2021-01-12 15:23:04
Description: None
'''
# Copyright (c) 2020 PaddlePaddle Authors. 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 .dataset import Dataset
from .cityscapes import Cityscapes
from .voc import PascalVOC
from .ade import ADE20K
from .optic_disc_seg import OpticDiscSeg
from .bjsclc import BJSCLC
from .breast_cancer import BreastCancer
from .remotesensing import RemoteSensing
from .segpc2021 import SegPC2021
from .tn_scui2020 import TN_SCUI2020 | 34 | 74 | 0.779412 | 162 | 1,088 | 5.203704 | 0.648148 | 0.071174 | 0.01898 | 0.023725 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.059331 | 0.147978 | 1,088 | 32 | 75 | 34 | 0.850054 | 0.659926 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
1a075cc25df39a7dc4988fc582cb5c537d9e4c24 | 1,648 | py | Python | chronometry/estimate/Measurement.py | idin/chronometry | e022a1d06d8e8be990483130bc314a189de2f149 | [
"MIT"
] | null | null | null | chronometry/estimate/Measurement.py | idin/chronometry | e022a1d06d8e8be990483130bc314a189de2f149 | [
"MIT"
] | null | null | null | chronometry/estimate/Measurement.py | idin/chronometry | e022a1d06d8e8be990483130bc314a189de2f149 | [
"MIT"
] | null | null | null | class Measurement:
def __init__(self, x, result, elapsed, timeout_error, other_error):
"""
:type x: dict
:type result: object
:type elapsed: float
:type timeout_error: bool
"""
if not isinstance(x, dict):
raise TypeError('x should be a dictionary!')
self._x = x
self._result = result
self._elapsed_time = elapsed
self._timeout_error = timeout_error
self._other_error = other_error
self._weight = None
@property
def weight(self):
return self._weight
@property
def timeout_error(self):
return self._timeout_error
@property
def other_error(self):
return self._other_error
def __lt__(self, other):
return self.elapsed_time < other.elapsed_time
def __le__(self, other):
return self.elapsed_time <= other.elapsed_time
def __eq__(self, other):
return self.elapsed_time == other.elapsed_time
def __gt__(self, other):
return self.elapsed_time > other.elapsed_time
def __ge__(self, other):
return self.elapsed_time >= other.elapsed_time
def __ne__(self, other):
return self.elapsed_time != other.elapsed_time
@property
def x(self):
"""
:rtype: dict
"""
return self._x
@property
def elapsed_time(self):
return self._elapsed_time
@property
def dictionary(self):
if isinstance(self._result, dict) and 'elapsed' not in self._result and 'x' not in self._result:
return dict(
x=self._x, time=self.elapsed_time, timeout_error=self._timeout_error, other_error=self._other_error,
**self._result
)
else:
return {
**self._x, 'time': self.elapsed_time, 'result': self._result,
'timeout_error': self._timeout_error, 'other_error': self._other_error
}
| 23.211268 | 104 | 0.720874 | 232 | 1,648 | 4.75 | 0.172414 | 0.169691 | 0.136116 | 0.133394 | 0.401996 | 0.401996 | 0.358439 | 0.358439 | 0.358439 | 0.316697 | 0 | 0 | 0.169296 | 1,648 | 70 | 105 | 23.542857 | 0.804967 | 0.057039 | 0 | 0.122449 | 0 | 0 | 0.043934 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.265306 | false | 0 | 0 | 0.204082 | 0.55102 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
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