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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
163cf569d30bd37e1409340af87296bc1ab46ecb
| 2,026
|
py
|
Python
|
ethereum/tests/test_api_consumer.py
|
GMSteuart/chainlink-iris
|
7d323c76ff61846d304942a08a1936f8fea40207
|
[
"MIT"
] | 1
|
2021-04-03T11:50:40.000Z
|
2021-04-03T11:50:40.000Z
|
ethereum/tests/test_api_consumer.py
|
GMSteuart/chainlink-iris
|
7d323c76ff61846d304942a08a1936f8fea40207
|
[
"MIT"
] | null | null | null |
ethereum/tests/test_api_consumer.py
|
GMSteuart/chainlink-iris
|
7d323c76ff61846d304942a08a1936f8fea40207
|
[
"MIT"
] | null | null | null |
import pytest
import time
from brownie import APIConsumer, network
# @pytest.fixture
# def deploy_api_contract(get_account, get_oracle, get_job_id, chainlink_fee, get_link_token):
# # Arrange / Act
# api_consumer = APIConsumer.deploy(get_oracle.address,
# get_job_id,
# chainlink_fee,
# get_link_token.address,
# {'from': get_account})
# # Assert
# assert api_consumer is not None
# return api_consumer
# def test_send_api_request_local(deploy_api_contract, get_account, get_link_token,
# chainlink_fee, get_oracle, get_data):
# # Arrange
# if network.show_active() not in ['development'] or 'fork' in network.show_active():
# pytest.skip('Only for local testing')
# api_contract = deploy_api_contract
# get_link_token.transfer(api_contract.address,
# chainlink_fee * 2, {'from': get_account})
# # Act
# transaction_receipt = api_contract.requestVolumeData({'from': get_account})
# requestId = transaction_receipt.events['ChainlinkRequested']['id']
# # Assert
# get_oracle.fulfillOracleRequest(requestId, get_data)
# assert isinstance(api_contract.volume(), int)
# assert api_contract.volume() > 0
# def test_send_api_request_testnet(deploy_api_contract, get_account, get_link_token, chainlink_fee):
# # Arrange
# if network.show_active() not in ['kovan', 'rinkeby']:
# pytest.skip('Only for local testing')
# api_contract = deploy_api_contract
# get_link_token.transfer(api_contract.address,
# chainlink_fee * 2, {'from': get_account})
# # Act
# requestId = api_contract.requestVolumeData({'from': get_account})
# # Assert
# assert requestId is not None
# time.sleep(20)
# assert isinstance(api_contract.volume(), int)
# assert api_contract.volume() > 0
| 39.72549
| 101
| 0.630306
| 226
| 2,026
| 5.331858
| 0.283186
| 0.136929
| 0.059751
| 0.082988
| 0.657261
| 0.590871
| 0.496266
| 0.444813
| 0.391701
| 0.391701
| 0
| 0.004054
| 0.269497
| 2,026
| 50
| 102
| 40.52
| 0.810135
| 0.919546
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
1688966a6e7972cf565faa45fe80c6782bde8c46
| 469
|
py
|
Python
|
project_euler_5.py
|
andrazm123/Project-Euler
|
260a46810bce73e1079c13518ae94732c8cb1acb
|
[
"MIT"
] | null | null | null |
project_euler_5.py
|
andrazm123/Project-Euler
|
260a46810bce73e1079c13518ae94732c8cb1acb
|
[
"MIT"
] | null | null | null |
project_euler_5.py
|
andrazm123/Project-Euler
|
260a46810bce73e1079c13518ae94732c8cb1acb
|
[
"MIT"
] | null | null | null |
def gcd(a, b):
'''Najvecji skupni veckratnik'''
if b == 0:
return a
else:
return gcd(b, a % b)
def lcm(a, b):
'''Najmanjsi skupni delitelj'''
return int((a * b) / gcd(a, b))
def stevilo_deljivo_prvimi_stevili(n):
'''Vrne najmanjso stevilo deljivo s prvimi n naravnimi stevili'''
if n == 1:
return 1
else:
return lcm(n, stevilo_deljivo_prvimi_stevili(n - 1))
print(stevilo_deljivo_prvimi_stevili(20))
| 21.318182
| 69
| 0.607676
| 68
| 469
| 4.058824
| 0.397059
| 0.036232
| 0.217391
| 0.293478
| 0.202899
| 0
| 0
| 0
| 0
| 0
| 0
| 0.017391
| 0.264392
| 469
| 21
| 70
| 22.333333
| 0.782609
| 0.238806
| 0
| 0.153846
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.230769
| false
| 0
| 0
| 0
| 0.615385
| 0.076923
| 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
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
1698765207c24fa9d2141736cb2a3c76b1c486f6
| 453
|
py
|
Python
|
tests/test_ocr.py
|
JosephVC/Python_PDF_OCR
|
bdd44f635a173c1a453c65cf9891037f8349f865
|
[
"MIT"
] | 1
|
2020-03-29T21:05:19.000Z
|
2020-03-29T21:05:19.000Z
|
tests/test_ocr.py
|
JosephVC/OCR_project
|
bdd44f635a173c1a453c65cf9891037f8349f865
|
[
"MIT"
] | null | null | null |
tests/test_ocr.py
|
JosephVC/OCR_project
|
bdd44f635a173c1a453c65cf9891037f8349f865
|
[
"MIT"
] | null | null | null |
from pathlib import Path
import pytest
from alterpdf import pdf_to_image
# test cases for altering pdfs
# test whether the pdf_to_image module actually works
def test_pdf_to_image():
pdf_to_image.convert('-p', '../sample_pdfs/meetingminutes.pdf')
# run something through pdf_to_image and check if it's there
assert Path('../output_images/output1.jpg').is_file
def test_ocr_image_exists():
pass
def image_made_to_pdf():
pass
| 19.695652
| 67
| 0.752759
| 72
| 453
| 4.458333
| 0.611111
| 0.077882
| 0.155763
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.002646
| 0.165563
| 453
| 22
| 68
| 20.590909
| 0.846561
| 0.306843
| 0
| 0.2
| 0
| 0
| 0.203884
| 0.197411
| 0
| 0
| 0
| 0
| 0.1
| 1
| 0.3
| true
| 0.2
| 0.3
| 0
| 0.6
| 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
| 1
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
16b6961f1a5776fba88e211868c7fa78e084aa73
| 251
|
py
|
Python
|
tests/__init__.py
|
maiome/malibu
|
8e272678ecba5cf2f76ae284d18ee47eaed9dd26
|
[
"Unlicense"
] | null | null | null |
tests/__init__.py
|
maiome/malibu
|
8e272678ecba5cf2f76ae284d18ee47eaed9dd26
|
[
"Unlicense"
] | null | null | null |
tests/__init__.py
|
maiome/malibu
|
8e272678ecba5cf2f76ae284d18ee47eaed9dd26
|
[
"Unlicense"
] | null | null | null |
# -*- coding: utf-8 -*-
import os, glob
modules = glob.glob(os.path.dirname(__file__) + "/*.py")
__all__ = [os.path.basename(f)[:-3] for f in modules if not os.path.basename(f).startswith('_') and not f.endswith('__init__.py') and os.path.isfile(f)]
| 41.833333
| 152
| 0.669323
| 42
| 251
| 3.690476
| 0.571429
| 0.154839
| 0.180645
| 0.193548
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009009
| 0.115538
| 251
| 5
| 153
| 50.2
| 0.689189
| 0.083665
| 0
| 0
| 0
| 0
| 0.074561
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
16cad41f2b3026e250d299455bb3a640b66032eb
| 36
|
py
|
Python
|
data/studio21_generated/introductory/4562/starter_code.py
|
vijaykumawat256/Prompt-Summarization
|
614f5911e2acd2933440d909de2b4f86653dc214
|
[
"Apache-2.0"
] | null | null | null |
data/studio21_generated/introductory/4562/starter_code.py
|
vijaykumawat256/Prompt-Summarization
|
614f5911e2acd2933440d909de2b4f86653dc214
|
[
"Apache-2.0"
] | null | null | null |
data/studio21_generated/introductory/4562/starter_code.py
|
vijaykumawat256/Prompt-Summarization
|
614f5911e2acd2933440d909de2b4f86653dc214
|
[
"Apache-2.0"
] | null | null | null |
def snap(flash_pile, turtle_pile):
| 18
| 34
| 0.777778
| 6
| 36
| 4.333333
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.111111
| 36
| 2
| 35
| 18
| 0.8125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
16d8e53400abbb17c922c3fc612754bbd07ab9c2
| 14,995
|
py
|
Python
|
nipy/modalities/fmri/tests/test_dmtx.py
|
neurospin/nipy
|
cc54600a0dca1e003ad393bc05c46f91eef30a68
|
[
"BSD-3-Clause"
] | 1
|
2016-03-08T15:01:06.000Z
|
2016-03-08T15:01:06.000Z
|
nipy/modalities/fmri/tests/test_dmtx.py
|
neurospin/nipy
|
cc54600a0dca1e003ad393bc05c46f91eef30a68
|
[
"BSD-3-Clause"
] | null | null | null |
nipy/modalities/fmri/tests/test_dmtx.py
|
neurospin/nipy
|
cc54600a0dca1e003ad393bc05c46f91eef30a68
|
[
"BSD-3-Clause"
] | null | null | null |
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
"""
Test the design_matrix utilities.
Note that the tests just looks whether the data produces has correct dimension,
not whether it is exact
"""
import numpy as np
from os.path import join, dirname
from ..experimental_paradigm import (EventRelatedParadigm, BlockParadigm,
load_protocol_from_csv_file)
from ..design_matrix import (
dmtx_light, _convolve_regressors, DesignMatrix, dmtx_from_csv, make_dmtx)
from nose.tools import assert_true, assert_equal
from numpy.testing import assert_almost_equal
from ....testing import parametric
def basic_paradigm():
conditions = ['c0', 'c0', 'c0', 'c1', 'c1', 'c1', 'c2', 'c2', 'c2']
onsets = [30, 70, 100, 10, 30, 90, 30, 40, 60]
paradigm = EventRelatedParadigm(conditions, onsets)
return paradigm
def modulated_block_paradigm():
conditions = ['c0', 'c0', 'c0', 'c1', 'c1', 'c1', 'c2', 'c2', 'c2']
onsets = [30, 70, 100, 10, 30, 90, 30, 40, 60]
duration = 5 + 5 * np.random.rand(len(onsets))
values = 1 + np.random.rand(len(onsets))
paradigm = BlockParadigm(conditions, onsets, duration, values)
return paradigm
def modulated_event_paradigm():
conditions = ['c0', 'c0', 'c0', 'c1', 'c1', 'c1', 'c2', 'c2', 'c2']
onsets = [30, 70, 100, 10, 30, 90, 30, 40, 60]
values = 1 + np.random.rand(len(onsets))
paradigm = EventRelatedParadigm(conditions, onsets, values)
return paradigm
def block_paradigm():
conditions = ['c0', 'c0', 'c0', 'c1', 'c1', 'c1', 'c2', 'c2', 'c2']
onsets = [30, 70, 100, 10, 30, 90, 30, 40, 60]
duration = 5 * np.ones(9)
paradigm = BlockParadigm (conditions, onsets, duration)
return paradigm
def test_show_dmtx():
# test that the show code indeed (formally) runs
frametimes = np.linspace(0, 127 * 1.,128)
DM = make_dmtx(frametimes, drift_model='Polynomial', drift_order=3)
ax = DM.show()
assert (ax is not None)
def test_dmtx0():
# Test design matrix creation when no paradigm is provided
tr = 1.0
frametimes = np.linspace(0, 127 * tr,128)
X, names= dmtx_light(frametimes, drift_model='Polynomial',
drift_order=3)
print names
assert_true(len(names)==4)
def test_dmtx0b():
# Test design matrix creation when no paradigm is provided
tr = 1.0
frametimes = np.linspace(0, 127 * tr,128)
X, names= dmtx_light(frametimes, drift_model='Polynomial',
drift_order=3)
assert_almost_equal(X[:, 0], np.linspace(- 0.5, .5, 128))
def test_dmtx0c():
# test design matrix creation when regressors are provided manually
tr = 1.0
frametimes = np.linspace(0, 127 * tr, 128)
ax = np.random.randn(128, 4)
X, names= dmtx_light(frametimes, drift_model='Polynomial',
drift_order=3, add_regs=ax)
assert_almost_equal(X[:, 0], ax[:, 0])
def test_dmtx0d():
# test design matrix creation when regressors are provided manually
tr = 1.0
frametimes = np.linspace(0, 127 * tr, 128)
ax = np.random.randn(128, 4)
X, names= dmtx_light(frametimes, drift_model='Polynomial',
drift_order=3, add_regs=ax)
assert_true((len(names) == 8) & (X.shape[1] == 8))
def test_dmtx1():
# basic test based on basic_paradigm and canonical hrf
tr = 1.0
frametimes = np.linspace(0, 127 * tr, 128)
paradigm = basic_paradigm()
hrf_model = 'Canonical'
X, names= dmtx_light(frametimes, paradigm, hrf_model=hrf_model,
drift_model='Polynomial', drift_order=3)
assert_true(len(names)==7)
def test_convolve_regressors():
# tests for convolve_regressors helper function
conditions = ['c0', 'c1']
onsets = [20, 40]
paradigm = EventRelatedParadigm(conditions, onsets)
# names not passed -> default names
frametimes = np.arange(100)
f, names = _convolve_regressors(paradigm, 'Canonical', frametimes)
assert_equal(names, ['c0', 'c1'])
def test_dmtx1b():
# idem test_dmtx1, but different test
tr = 1.0
frametimes = np.linspace(0, 127 * tr, 128)
paradigm = basic_paradigm()
hrf_model = 'Canonical'
X, names= dmtx_light(frametimes, paradigm, hrf_model=hrf_model,
drift_model='Polynomial', drift_order=3)
print np.shape(X)
assert_true(X.shape == (128, 7))
def test_dmtx1c():
# idem test_dmtx1, but different test
tr = 1.0
frametimes = np.linspace(0, 127 *tr, 128)
paradigm = basic_paradigm()
hrf_model = 'Canonical'
X,names = dmtx_light(frametimes, paradigm, hrf_model=hrf_model,
drift_model='Polynomial', drift_order=3)
assert_true((X[:, - 1] == 1).all())
def test_dmtx1d():
# idem test_dmtx1, but different test
tr = 1.0
frametimes = np.linspace(0, 127 * tr, 128)
paradigm = basic_paradigm()
hrf_model = 'Canonical'
X,names= dmtx_light(frametimes, paradigm, hrf_model=hrf_model,
drift_model='Polynomial', drift_order=3)
assert_true((np.isnan(X) == 0).all())
def test_dmtx2():
# idem test_dmtx1 with a different drift term
tr = 1.0
frametimes = np.linspace(0, 127 * tr, 128)
paradigm = basic_paradigm()
hrf_model = 'Canonical'
X, names= dmtx_light(frametimes, paradigm, hrf_model=hrf_model,
drift_model='Cosine', hfcut=63)
assert_true(len(names) == 8)
def test_dmtx3():
# idem test_dmtx1 with a different drift term
tr = 1.0
frametimes = np.linspace(0, 127 * tr, 128)
paradigm = basic_paradigm()
hrf_model = 'Canonical'
X,names= dmtx_light(frametimes, paradigm, hrf_model=hrf_model,
drift_model='Blank')
print names
assert_true(len(names) == 4)
def test_dmtx4():
# idem test_dmtx1 with a different hrf model
tr = 1.0
frametimes = np.linspace(0, 127 * tr, 128)
paradigm = basic_paradigm()
hrf_model = 'Canonical With Derivative'
X, names= dmtx_light(frametimes, paradigm, hrf_model=hrf_model,
drift_model='Polynomial', drift_order=3)
assert_true(len(names) == 10)
def test_dmtx5():
# idem test_dmtx1 with a block paradigm
tr = 1.0
frametimes = np.linspace(0, 127 * tr, 128)
paradigm = block_paradigm()
hrf_model = 'Canonical'
X, names= dmtx_light(frametimes, paradigm, hrf_model=hrf_model,
drift_model='Polynomial', drift_order=3)
assert_true(len(names) == 7)
def test_dmtx6():
# idem test_dmtx1 with a block paradigm and the hrf derivative
tr = 1.0
frametimes = np.linspace(0, 127 * tr, 128)
paradigm = block_paradigm()
hrf_model = 'Canonical With Derivative'
X, names= dmtx_light(frametimes, paradigm, hrf_model=hrf_model,
drift_model='Polynomial', drift_order=3)
assert_true(len(names) == 10)
def test_dmtx7():
# idem test_dmtx1, but odd paradigm
tr = 1.0
frametimes = np.linspace(0, 127 * tr, 128)
conditions = [0, 0, 0, 1, 1, 1, 3, 3, 3]
# no condition 'c2'
onsets = [30, 70, 100, 10, 30, 90, 30, 40, 60]
paradigm = EventRelatedParadigm(conditions, onsets)
hrf_model = 'Canonical'
X, names = dmtx_light(frametimes, paradigm, hrf_model=hrf_model,
drift_model='Polynomial', drift_order=3)
assert_true(len(names) == 7)
def test_dmtx8():
# basic test based on basic_paradigm and FIR
tr = 1.0
frametimes = np.linspace(0, 127 * tr, 128)
paradigm = basic_paradigm()
hrf_model = 'FIR'
X, names= dmtx_light(frametimes, paradigm, hrf_model=hrf_model,
drift_model='Polynomial', drift_order=3)
assert_true(len(names) == 7)
def test_dmtx9():
# basic test based on basic_paradigm and FIR
tr = 1.0
frametimes = np.linspace(0, 127 * tr, 128)
paradigm = basic_paradigm()
hrf_model = 'FIR'
X, names = dmtx_light(frametimes, paradigm, hrf_model=hrf_model,
drift_model='Polynomial', drift_order=3,
fir_delays=range(1, 5))
assert_true(len(names) == 16)
def test_dmtx10():
# Check that the first column o FIR design matrix is OK
tr = 1.0
frametimes = np.linspace(0, 127 * tr, 128)
paradigm = basic_paradigm()
hrf_model = 'FIR'
X, names = dmtx_light(frametimes, paradigm, hrf_model=hrf_model,
drift_model='Polynomial', drift_order=3,
fir_delays=range(1, 5))
onset = paradigm.onset[paradigm.con_id == 'c0'].astype(np.int)
assert_true(np.all((X[onset + 1, 0] == 1)))
def test_dmtx11():
# check that the second column of the FIR design matrix is OK indeed
tr = 1.0
frametimes = np.linspace(0, 127 * tr, 128)
paradigm = basic_paradigm()
hrf_model = 'FIR'
X, names = dmtx_light(frametimes, paradigm, hrf_model=hrf_model,
drift_model='Polynomial', drift_order=3,
fir_delays=range(1, 5))
onset = paradigm.onset[paradigm.con_id == 'c0'].astype(np.int)
assert_true(np.all(X[onset + 3, 2] == 1))
def test_dmtx12():
# check that the 11th column of a FIR design matrix is indeed OK
tr = 1.0
frametimes = np.linspace(0, 127 * tr,128)
paradigm = basic_paradigm()
hrf_model = 'FIR'
X, names = dmtx_light(frametimes, paradigm, hrf_model=hrf_model,
drift_model='Polynomial', drift_order=3,
fir_delays=range(1, 5))
onset = paradigm.onset[paradigm.con_id == 'c2'].astype(np.int)
assert_true(np.all(X[onset + 4, 11] == 1))
def test_dmtx13():
# Check that the fir_duration is well taken into account
tr = 1.0
frametimes = np.linspace(0, 127 * tr, 128)
paradigm = basic_paradigm()
hrf_model = 'FIR'
X, names = dmtx_light(frametimes, paradigm, hrf_model=hrf_model,
drift_model='Polynomial', drift_order=3,
fir_delays=range(1, 5))
onset = paradigm.onset[paradigm.con_id == 'c0'].astype(np.int)
assert_true(np.all(X[onset + 1, 0] == 1))
def test_dmtx14():
# Check that the first column o FIR design matrix is OK after a 1/2
# time shift
tr = 1.0
frametimes = np.linspace(0, 127 * tr, 128) + tr / 2
paradigm = basic_paradigm()
hrf_model = 'FIR'
X, names = dmtx_light(frametimes, paradigm, hrf_model=hrf_model,
drift_model='Polynomial', drift_order=3,
fir_delays=range(1, 5))
onset = paradigm.onset[paradigm.con_id == 'c0'].astype(np.int)
assert_true(np.all(X[onset + 1, 0] == 1))
def test_dmtx15():
# basic test based on basic_paradigm, plus user supplied regressors
tr = 1.0
frametimes = np.linspace(0, 127 * tr, 128)
paradigm = basic_paradigm()
hrf_model = 'Canonical'
ax = np.random.randn(128, 4)
X, names = dmtx_light(frametimes, paradigm, hrf_model=hrf_model,
drift_model='Polynomial', drift_order=3, add_regs=ax)
assert(len(names) == 11)
assert(X.shape[1] == 11)
def test_dmtx16():
# Check that additional regressors are put at the right place
tr = 1.0
frametimes = np.linspace(0, 127 * tr, 128)
paradigm = basic_paradigm()
hrf_model = 'Canonical'
ax = np.random.randn(128, 4)
X, names = dmtx_light(frametimes, paradigm, hrf_model=hrf_model,
drift_model='Polynomial', drift_order=3, add_regs=ax)
assert_almost_equal(X[:, 3: 7], ax)
def test_dmtx17():
# Test the effect of scaling on the events
tr = 1.0
frametimes = np.linspace(0, 127 * tr, 128)
paradigm = modulated_event_paradigm()
hrf_model = 'Canonical'
X, names = dmtx_light(frametimes, paradigm, hrf_model=hrf_model,
drift_model='Polynomial', drift_order=3)
ct = paradigm.onset[paradigm.con_id == 'c0'].astype(np.int) + 1
assert((X[ct, 0] > 0).all())
def test_dmtx18():
# Test the effect of scaling on the blocks
tr = 1.0
frametimes = np.linspace(0, 127 * tr, 128)
paradigm = modulated_block_paradigm()
hrf_model = 'Canonical'
X, names = dmtx_light(frametimes, paradigm, hrf_model=hrf_model,
drift_model='Polynomial', drift_order=3)
ct = paradigm.onset[paradigm.con_id == 'c0'].astype(np.int) + 3
assert((X[ct, 0] > 0).all())
def test_dmtx19():
# Test the effect of scaling on a FIR model
tr = 1.0
frametimes = np.linspace(0, 127 * tr, 128)
paradigm = modulated_event_paradigm()
hrf_model = 'FIR'
X, names = dmtx_light(frametimes, paradigm, hrf_model=hrf_model,
drift_model='Polynomial', drift_order=3,
fir_delays=range(1, 5))
idx = paradigm.onset[paradigm.con_id == 0].astype(np.int)
assert_true((X[idx + 1, 0] == X[idx + 2, 1]).all())
def test_csv_io():
# test the csv io on design matrices
from tempfile import mkdtemp
from os.path import join
tr = 1.0
frametimes = np.linspace(0, 127 * tr, 128)
paradigm = modulated_event_paradigm()
DM = make_dmtx(frametimes, paradigm, hrf_model='Canonical',
drift_model='Polynomial', drift_order=3)
path = join(mkdtemp(), 'dmtx.csv')
DM.write_csv(path)
DM2 = dmtx_from_csv( path)
assert_almost_equal (DM.matrix, DM2.matrix)
assert_true (DM.names == DM2.names)
def test_spm_1():
# Check that the nipy design matrix is close enough to the SPM one
# (it cannot be identical, because the hrf shape is different)
tr = 1.0
frametimes = np.linspace(0, 99, 100)
conditions = ['c0', 'c0', 'c0', 'c1', 'c1', 'c1', 'c2', 'c2', 'c2']
onsets = [30, 50, 70, 10, 30, 80, 30, 40, 60]
hrf_model = 'Canonical'
paradigm = EventRelatedParadigm(conditions, onsets)
X1 = make_dmtx(frametimes, paradigm, drift_model='Blank')
spm_dmtx = np.load(join(dirname(__file__),'spm_dmtx.npz'))['arr_0']
assert ((spm_dmtx - X1.matrix) ** 2).sum() / (spm_dmtx ** 2).sum() < .1
def test_spm_2():
# Check that the nipy design matrix is close enough to the SPM one
# (it cannot be identical, because the hrf shape is different)
import os
tr = 1.0
frametimes = np.linspace(0, 99, 100)
conditions = ['c0', 'c0', 'c0', 'c1', 'c1', 'c1', 'c2', 'c2', 'c2']
onsets = [30, 50, 70, 10, 30, 80, 30, 40, 60]
duration = 10 * np.ones(9)
hrf_model = 'Canonical'
paradigm = BlockParadigm(conditions, onsets, duration)
X1 = make_dmtx(frametimes, paradigm, drift_model='Blank')
spm_dmtx = np.load(join(dirname(__file__),'spm_dmtx.npz'))['arr_1']
assert ((spm_dmtx - X1.matrix) ** 2).sum() / (spm_dmtx ** 2).sum() < .1
if __name__ == "__main__":
import nose
nose.run(argv=['', __file__])
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| 79
| 0.623941
| 2,080
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| 4.335096
| 0.120192
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| 0.768437
| 0.732505
| 0.720195
| 0.698902
| 0.686259
| 0.674726
| 0
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| 14,995
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| 80
| 36.045673
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| 0.113636
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| null | null | 0
| 0.035714
| null | null | 0.00974
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0
| 4
|
16dc839c73c8b07d2c5ca2532a656bf50495f4a5
| 2,511
|
py
|
Python
|
src/models/UserModel.py
|
HASSAN1A/my_users_api
|
114ba6b304a31400f9358fbc457fa0508a8475ed
|
[
"MIT"
] | null | null | null |
src/models/UserModel.py
|
HASSAN1A/my_users_api
|
114ba6b304a31400f9358fbc457fa0508a8475ed
|
[
"MIT"
] | 1
|
2022-03-17T22:14:34.000Z
|
2022-03-17T22:16:44.000Z
|
src/models/UserModel.py
|
HASSAN1A/my_users_api
|
114ba6b304a31400f9358fbc457fa0508a8475ed
|
[
"MIT"
] | null | null | null |
# src/models/UserModel.py
from . import db, bcrypt
from marshmallow import fields, Schema
import datetime
from flask_login import login_manager, UserMixin
class UserModel(UserMixin, db.Model):
"""
User Model
"""
# table name
__tablename__ = 'users'
id = db.Column(db.Integer, primary_key=True, autoincrement=True)
# id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(128), nullable=False)
email = db.Column(db.String(128), unique=True, nullable=False)
password = db.Column(db.String(128), nullable=False)
# class constructor
def __init__(self, data):
"""
Class constructor
"""
self.name = data.get('name')
self.email = data.get('email')
self.password = self.__generate_hash(data.get('password'))
def save(self):
db.session.add(self)
db.session.commit()
def update(self, data):
for key, item in data.items():
if key == 'password':
self.password = self.__generate_hash(item)
setattr(self, key, item)
self.modified_at = datetime.datetime.utcnow()
db.session.commit()
def is_active():
return True
def delete(self):
db.session.delete(self)
db.session.commit()
@staticmethod
def get_all_users():
return UserModel.query.all()
def get_id(self):
return str(self.id)
@staticmethod
def get_one_user(id):
return UserModel.query.get(id)
@staticmethod
def get_user_by_email(value):
return UserModel.query.filter_by(email=value).first()
@staticmethod
def filter_users_by_name(name):
qs = UserModel.query.filter_by(name=name).all()
return [item.serialize for item in qs]
@staticmethod
def filter_by_range(start, end):
qs = UserModel.query.offset(start).limit(end).all()
return [item.serialize for item in qs]
def __generate_hash(self, password):
return bcrypt.generate_password_hash(password, rounds=10).decode("utf-8")
def check_hash(self, password):
return bcrypt.check_password_hash(self.password, password)
@property
def serialize(self):
'''Return a serialized response of the Model'''
context ={
"user_id": self.id,
"name": self.name,
"email": self.email,
}
return context
def __str__(self):
return self.name
class UserSchema(Schema):
id = fields.Int(dump_only=True)
name = fields.Str(required=True)
email = fields.Email(required=True)
password = fields.Str(required=True, load_only=True)
def __str__(self) -> str:
return self.name
| 24.144231
| 77
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| 340
| 2,511
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| 0
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| 0.190761
| 2,511
| 103
| 78
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| 0.231884
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| 0.130435
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| 1
| 1
| 0
|
0
| 4
|
16e8a2a97a9ec1c24585ee07a90e2315fdbe1164
| 225
|
py
|
Python
|
tests/test_download.py
|
LucaCappelletti94/encodeproject
|
e4abfd8b975b333ae371c370fa1b1ecd5ab10475
|
[
"MIT"
] | 1
|
2021-05-13T09:03:29.000Z
|
2021-05-13T09:03:29.000Z
|
tests/test_download.py
|
LucaCappelletti94/encodeproject
|
e4abfd8b975b333ae371c370fa1b1ecd5ab10475
|
[
"MIT"
] | null | null | null |
tests/test_download.py
|
LucaCappelletti94/encodeproject
|
e4abfd8b975b333ae371c370fa1b1ecd5ab10475
|
[
"MIT"
] | null | null | null |
from encodeproject import download
import os
def test_download():
download("https://encode-public.s3.amazonaws.com/2012/07/01/074e1b37-2be1-4f6a-aa42-6c512fd1834b/ENCFF000XOW.bigWig")
os.remove("ENCFF000XOW.bigWig")
| 32.142857
| 121
| 0.782222
| 30
| 225
| 5.833333
| 0.8
| 0.194286
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| 0
| 0.169903
| 0.084444
| 225
| 7
| 122
| 32.142857
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| 0
| 1
| 0
|
0
| 4
|
bc43a36339d6abc01bff33f174be9a49bba2a03f
| 73
|
py
|
Python
|
dapper/tools/__init__.py
|
aperrin66/DAPPER
|
d9d09ed87ca58d59972296e317bfeea50ba6cdd0
|
[
"MIT"
] | 225
|
2016-11-01T09:55:25.000Z
|
2022-03-31T06:03:28.000Z
|
dapper/tools/__init__.py
|
aperrin66/DAPPER
|
d9d09ed87ca58d59972296e317bfeea50ba6cdd0
|
[
"MIT"
] | 85
|
2018-02-09T03:13:18.000Z
|
2022-03-18T17:10:28.000Z
|
dapper/tools/__init__.py
|
aperrin66/DAPPER
|
d9d09ed87ca58d59972296e317bfeea50ba6cdd0
|
[
"MIT"
] | 92
|
2017-05-29T23:24:45.000Z
|
2022-03-31T06:03:29.000Z
|
"""If the only tool you have is a hammer, it's hard to eat spaghetti."""
| 36.5
| 72
| 0.684932
| 15
| 73
| 3.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.191781
| 73
| 1
| 73
| 73
| 0.847458
| 0.90411
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
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| 0
| 0
| 0
|
0
| 4
|
bc5f0a5802e3caa15361d89e49b03ec4f5e8c48b
| 480
|
py
|
Python
|
nethack_raph/Actions/base.py
|
dmitrySorokin/raph
|
57c6c95fe879f929b730255cc724f23f09fecb31
|
[
"MIT"
] | 3
|
2022-03-23T21:20:44.000Z
|
2022-03-29T06:25:55.000Z
|
nethack_raph/Actions/base.py
|
dmitrySorokin/raph
|
57c6c95fe879f929b730255cc724f23f09fecb31
|
[
"MIT"
] | null | null | null |
nethack_raph/Actions/base.py
|
dmitrySorokin/raph
|
57c6c95fe879f929b730255cc724f23f09fecb31
|
[
"MIT"
] | 2
|
2022-03-26T14:59:43.000Z
|
2022-03-29T06:26:07.000Z
|
class BaseAction:
def __init__(self, kernel):
self.kernel = kernel
def log(self, message):
self.kernel().log(message)
def draw_path(self, path, color=41):
self.kernel().draw_path(path, color=color)
@property
def hero(self):
return self.kernel().hero
def can(self, level):
return False, None
def after_search(self, targets, path):
pass
def execute(self, path):
raise NotImplementedError
| 20.869565
| 50
| 0.6125
| 59
| 480
| 4.864407
| 0.440678
| 0.174216
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005764
| 0.277083
| 480
| 22
| 51
| 21.818182
| 0.821326
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4375
| false
| 0.0625
| 0
| 0.125
| 0.625
| 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
| 1
| 1
| 0
|
0
| 4
|
bc756c118fbd944db5cd44eb94f57582855c0454
| 140
|
py
|
Python
|
symneqsys/gsl/__init__.py
|
bjodah/symneqsys
|
677307d6b94e452262f7ffe944ec2bed6314d34b
|
[
"BSD-2-Clause"
] | 1
|
2015-01-10T09:00:04.000Z
|
2015-01-10T09:00:04.000Z
|
symneqsys/gsl/__init__.py
|
bjodah/symneqsys
|
677307d6b94e452262f7ffe944ec2bed6314d34b
|
[
"BSD-2-Clause"
] | null | null | null |
symneqsys/gsl/__init__.py
|
bjodah/symneqsys
|
677307d6b94e452262f7ffe944ec2bed6314d34b
|
[
"BSD-2-Clause"
] | null | null | null |
from __future__ import (absolute_import, division, print_function)
from .interface import GSL_Solver
assert GSL_Solver # silence pyflakes
| 28
| 66
| 0.835714
| 18
| 140
| 6.055556
| 0.722222
| 0.165138
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121429
| 140
| 4
| 67
| 35
| 0.886179
| 0.114286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0.333333
| 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
| 1
| 0
| 0
| 0
|
0
| 4
|
bc8c539a4f5e4d0e536361ef7f95c00eba9ae3ae
| 119
|
py
|
Python
|
hav-gclient-3.2_newton/exceptions.py
|
xuweiliang/Codelibrary
|
54e45b2daa205132c05b0ff5a2c3db7fca2853a7
|
[
"Apache-2.0"
] | 1
|
2015-06-23T03:10:07.000Z
|
2015-06-23T03:10:07.000Z
|
hav-gclient-3.2_newton/exceptions.py
|
xuweiliang/Codelibrary
|
54e45b2daa205132c05b0ff5a2c3db7fca2853a7
|
[
"Apache-2.0"
] | null | null | null |
hav-gclient-3.2_newton/exceptions.py
|
xuweiliang/Codelibrary
|
54e45b2daa205132c05b0ff5a2c3db7fca2853a7
|
[
"Apache-2.0"
] | 4
|
2015-06-23T03:10:09.000Z
|
2022-01-11T07:11:56.000Z
|
class KeystoneAuthException(Exception):
""" Generic error class to identify and catch our own errors. """
pass
| 29.75
| 69
| 0.722689
| 14
| 119
| 6.142857
| 0.928571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.193277
| 119
| 3
| 70
| 39.666667
| 0.895833
| 0.478992
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 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
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
bcb6cb444fefc942daba7c40f1d2d693afa23481
| 224
|
py
|
Python
|
groceries/serializers.py
|
pgellert/simple-api
|
c9cfd85aa03c9e8a3dfbc0e008db89e1e3a52afd
|
[
"MIT"
] | null | null | null |
groceries/serializers.py
|
pgellert/simple-api
|
c9cfd85aa03c9e8a3dfbc0e008db89e1e3a52afd
|
[
"MIT"
] | null | null | null |
groceries/serializers.py
|
pgellert/simple-api
|
c9cfd85aa03c9e8a3dfbc0e008db89e1e3a52afd
|
[
"MIT"
] | null | null | null |
from rest_framework import serializers
from .models import GroceryItem
class GroceryItemSerializer(serializers.ModelSerializer):
class Meta:
model = GroceryItem
fields = ('pk', 'name', 'amount', 'msg')
| 24.888889
| 57
| 0.714286
| 22
| 224
| 7.227273
| 0.772727
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.191964
| 224
| 8
| 58
| 28
| 0.878453
| 0
| 0
| 0
| 0
| 0
| 0.066964
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
bcf7f897ae7fed7d15519f799c752316c846a5ee
| 25
|
py
|
Python
|
src/__init__.py
|
myasinsaglam/SECPIP
|
4649d183dfdb35efb82553624cf35ec02a098db2
|
[
"MIT"
] | 3
|
2020-12-17T12:23:46.000Z
|
2020-12-25T10:50:54.000Z
|
src/__init__.py
|
myasinsaglam/SECPIP
|
4649d183dfdb35efb82553624cf35ec02a098db2
|
[
"MIT"
] | null | null | null |
src/__init__.py
|
myasinsaglam/SECPIP
|
4649d183dfdb35efb82553624cf35ec02a098db2
|
[
"MIT"
] | null | null | null |
__version__ = "1.0.0rc0"
| 12.5
| 24
| 0.68
| 4
| 25
| 3.25
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.181818
| 0.12
| 25
| 1
| 25
| 25
| 0.409091
| 0
| 0
| 0
| 0
| 0
| 0.32
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
4c09d63dd9c9bd8497f9d6184bb4ff8bc2670bcf
| 99
|
py
|
Python
|
cgt_calc/resources/__init__.py
|
quentin389/capital-gains-calculator
|
63641e19d5479499e1de1e28d3c9672b35f7e2dd
|
[
"MIT"
] | 16
|
2021-02-01T00:31:59.000Z
|
2021-04-11T18:31:21.000Z
|
cgt_calc/resources/__init__.py
|
quentin389/capital-gains-calculator
|
63641e19d5479499e1de1e28d3c9672b35f7e2dd
|
[
"MIT"
] | 19
|
2021-05-09T10:20:25.000Z
|
2022-03-29T16:11:46.000Z
|
cgt_calc/resources/__init__.py
|
quentin389/capital-gains-calculator
|
63641e19d5479499e1de1e28d3c9672b35f7e2dd
|
[
"MIT"
] | 9
|
2021-05-03T16:52:50.000Z
|
2022-02-28T21:22:59.000Z
|
"""Module with resource files."""
from typing import Final
RESOURCES_PACKAGE: Final = __package__
| 19.8
| 38
| 0.777778
| 12
| 99
| 6
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.131313
| 99
| 4
| 39
| 24.75
| 0.837209
| 0.272727
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
4c2de9f2e1c080099a21fac3aff6f69cf9ded554
| 64
|
py
|
Python
|
codes/day01/4.py
|
Youngfellows/HPyBaseCode
|
94d11872795d85b8c4387b650e82edcd20da0667
|
[
"Apache-2.0"
] | null | null | null |
codes/day01/4.py
|
Youngfellows/HPyBaseCode
|
94d11872795d85b8c4387b650e82edcd20da0667
|
[
"Apache-2.0"
] | null | null | null |
codes/day01/4.py
|
Youngfellows/HPyBaseCode
|
94d11872795d85b8c4387b650e82edcd20da0667
|
[
"Apache-2.0"
] | null | null | null |
#print("")在python2和3版本中都执行
#print ""只在python2中
print("hahahah")
| 16
| 26
| 0.75
| 6
| 64
| 8
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.05
| 0.0625
| 64
| 3
| 27
| 21.333333
| 0.75
| 0.671875
| 0
| 0
| 0
| 0
| 0.368421
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 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
| 1
|
0
| 4
|
4c36b4da9261656195920de0a1787acd91b399f5
| 842
|
py
|
Python
|
oops_fhir/r4/value_set/practice_setting_code_value_set.py
|
Mikuana/oops_fhir
|
77963315d123756b7d21ae881f433778096a1d25
|
[
"MIT"
] | null | null | null |
oops_fhir/r4/value_set/practice_setting_code_value_set.py
|
Mikuana/oops_fhir
|
77963315d123756b7d21ae881f433778096a1d25
|
[
"MIT"
] | null | null | null |
oops_fhir/r4/value_set/practice_setting_code_value_set.py
|
Mikuana/oops_fhir
|
77963315d123756b7d21ae881f433778096a1d25
|
[
"MIT"
] | null | null | null |
from pathlib import Path
from fhir.resources.valueset import ValueSet as _ValueSet
from oops_fhir.utils import ValueSet
__all__ = ["PracticeSettingCodeValueSet"]
_resource = _ValueSet.parse_file(Path(__file__).with_suffix(".json"))
class PracticeSettingCodeValueSet(ValueSet):
"""
Practice Setting Code Value Set
This is the code representing the clinical specialty of the clinician or
provider who interacted with, treated, or provided a service to/for the
patient. The value set used for clinical specialty has been limited by
HITSP to the value set reproduced from HITSP C80 Table 2-149 Clinical
Specialty Value Set Definition.
Status: active - Version: 4.0.1
http://hl7.org/fhir/ValueSet/c80-practice-codes
"""
# TODO: fix this template issue1
pass
class Meta:
resource = _resource
| 25.515152
| 76
| 0.754157
| 114
| 842
| 5.438596
| 0.622807
| 0.051613
| 0.035484
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.018895
| 0.182898
| 842
| 32
| 77
| 26.3125
| 0.882267
| 0.571259
| 0
| 0
| 0
| 0
| 0.091429
| 0.077143
| 0
| 0
| 0
| 0.03125
| 0
| 1
| 0
| false
| 0.111111
| 0.333333
| 0
| 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
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
|
0
| 4
|
4c3b87f59e759a9c5fa6efb840df6930b9a43b2b
| 228
|
py
|
Python
|
rlberry/utils/__init__.py
|
mmcenta/rlberry
|
23c9984618da77695abb04bca9336e47f9f610ba
|
[
"MIT"
] | null | null | null |
rlberry/utils/__init__.py
|
mmcenta/rlberry
|
23c9984618da77695abb04bca9336e47f9f610ba
|
[
"MIT"
] | null | null | null |
rlberry/utils/__init__.py
|
mmcenta/rlberry
|
23c9984618da77695abb04bca9336e47f9f610ba
|
[
"MIT"
] | null | null | null |
from .check_bandit_agent import check_bandit_agent
from .check_agent import (
check_rl_agent,
check_save_load,
check_fit_additive,
check_seeding_agent,
check_agent_manager,
)
from .check_env import check_env
| 22.8
| 50
| 0.789474
| 33
| 228
| 4.939394
| 0.393939
| 0.165644
| 0.196319
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 228
| 9
| 51
| 25.333333
| 0.857895
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
4c4fafd4bcbbd4f0539cee2971fb8618b46540f1
| 294
|
py
|
Python
|
introduction_to_django/introduction_to_django/cities/models.py
|
Xamaneone/Django-Projects
|
4fac8659680a6448bb55bce008bfd0eac1ad1f6d
|
[
"MIT"
] | null | null | null |
introduction_to_django/introduction_to_django/cities/models.py
|
Xamaneone/Django-Projects
|
4fac8659680a6448bb55bce008bfd0eac1ad1f6d
|
[
"MIT"
] | null | null | null |
introduction_to_django/introduction_to_django/cities/models.py
|
Xamaneone/Django-Projects
|
4fac8659680a6448bb55bce008bfd0eac1ad1f6d
|
[
"MIT"
] | null | null | null |
from django.db import models
class Person(models.Model):
name = models.CharField(max_length=30)
age = models.IntegerField()
home_town = models.CharField(max_length=25)
class Phone(models.Model):
model = models.CharField(max_length=30)
quantity = models.IntegerField()
| 19.6
| 47
| 0.72449
| 38
| 294
| 5.5
| 0.526316
| 0.215311
| 0.258373
| 0.344498
| 0.248804
| 0
| 0
| 0
| 0
| 0
| 0
| 0.02449
| 0.166667
| 294
| 14
| 48
| 21
| 0.828571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.125
| 0
| 1
| 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
| 1
| 0
|
0
| 4
|
4c51ff208a7d9ee3cf64cac05f34b921d5783c4c
| 127
|
py
|
Python
|
run.py
|
0bf/hookup
|
43ab943537965cfc54301402350f88e307b7935b
|
[
"MIT"
] | 20
|
2020-01-14T17:10:09.000Z
|
2022-03-06T04:52:29.000Z
|
run.py
|
rickthor7/hookup
|
31d6a0d413c62d317f1b70c4d83541a00bf15d72
|
[
"MIT"
] | 2
|
2020-11-30T11:56:38.000Z
|
2022-02-26T22:24:09.000Z
|
run.py
|
rickthor7/hookup
|
31d6a0d413c62d317f1b70c4d83541a00bf15d72
|
[
"MIT"
] | 8
|
2020-01-31T18:18:47.000Z
|
2022-01-02T08:19:57.000Z
|
from hookup import start_server, db, cli
if __name__ == '__main__':
db.create_all()
cli.main()
start_server()
| 18.142857
| 40
| 0.645669
| 17
| 127
| 4.176471
| 0.705882
| 0.309859
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.23622
| 127
| 7
| 41
| 18.142857
| 0.731959
| 0
| 0
| 0
| 0
| 0
| 0.0625
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 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
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
d5e5c53e392ec9822e4e62353b96d020051a7aa4
| 3,214
|
py
|
Python
|
src/python/pants/backend/native/register.py
|
silverguo/pants
|
141510d03fbf2b7e1a0b54f66b54088697f6fa51
|
[
"Apache-2.0"
] | null | null | null |
src/python/pants/backend/native/register.py
|
silverguo/pants
|
141510d03fbf2b7e1a0b54f66b54088697f6fa51
|
[
"Apache-2.0"
] | null | null | null |
src/python/pants/backend/native/register.py
|
silverguo/pants
|
141510d03fbf2b7e1a0b54f66b54088697f6fa51
|
[
"Apache-2.0"
] | null | null | null |
# Copyright 2018 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
"""Support for using C and C++ with Python distributions via `ctypes`."""
from pants.backend.native.subsystems.binaries.binutils import create_binutils_rules
from pants.backend.native.subsystems.binaries.gcc import create_gcc_rules
from pants.backend.native.subsystems.binaries.llvm import create_llvm_rules
from pants.backend.native.subsystems.native_build_settings import NativeBuildSettings
from pants.backend.native.subsystems.native_toolchain import create_native_toolchain_rules
from pants.backend.native.subsystems.xcode_cli_tools import create_xcode_cli_tools_rules
from pants.backend.native.target_types import (
CLibrary,
ConanNativeLibrary,
CppLibrary,
PackagedNativeLibrary,
)
from pants.backend.native.targets.external_native_library import ConanRequirement
from pants.backend.native.targets.external_native_library import (
ExternalNativeLibrary as ExternalNativeLibraryV1,
)
from pants.backend.native.targets.native_artifact import NativeArtifact
from pants.backend.native.targets.native_library import CLibrary as CLibraryV1
from pants.backend.native.targets.native_library import CppLibrary as CppLibraryV1
from pants.backend.native.targets.packaged_native_library import (
PackagedNativeLibrary as PackagedNativeLibraryV1,
)
from pants.backend.native.tasks.c_compile import CCompile
from pants.backend.native.tasks.conan_fetch import ConanFetch
from pants.backend.native.tasks.conan_prep import ConanPrep
from pants.backend.native.tasks.cpp_compile import CppCompile
from pants.backend.native.tasks.link_shared_libraries import LinkSharedLibraries
from pants.build_graph.build_file_aliases import BuildFileAliases
from pants.goal.task_registrar import TaskRegistrar as task
def build_file_aliases():
return BuildFileAliases(
targets={
CLibraryV1.alias(): CLibraryV1,
CppLibraryV1.alias(): CppLibraryV1,
ExternalNativeLibraryV1.alias(): ExternalNativeLibraryV1,
PackagedNativeLibraryV1.alias(): PackagedNativeLibraryV1,
},
objects={
ConanRequirement.alias(): ConanRequirement,
NativeArtifact.alias(): NativeArtifact,
},
)
def global_subsystems():
return {NativeBuildSettings}
def register_goals():
# TODO(#5962): register these under the 'compile' goal when we eliminate the product transitive
# dependency from export -> compile.
task(name="conan-prep", action=ConanPrep).install("native-compile")
task(name="conan-fetch", action=ConanFetch).install("native-compile")
task(name="c-for-ctypes", action=CCompile).install("native-compile")
task(name="cpp-for-ctypes", action=CppCompile).install("native-compile")
task(name="shared-libraries", action=LinkSharedLibraries).install("link")
def rules():
return (
*create_native_toolchain_rules(),
*create_xcode_cli_tools_rules(),
*create_binutils_rules(),
*create_gcc_rules(),
*create_llvm_rules(),
)
def targets2():
return [CLibrary, CppLibrary, ConanNativeLibrary, PackagedNativeLibrary]
| 41.205128
| 99
| 0.778469
| 364
| 3,214
| 6.722527
| 0.288462
| 0.073559
| 0.117695
| 0.161831
| 0.346138
| 0.226808
| 0.121782
| 0.085002
| 0.04577
| 0
| 0
| 0.008273
| 0.135034
| 3,214
| 77
| 100
| 41.74026
| 0.871942
| 0.100498
| 0
| 0
| 0
| 0
| 0.042694
| 0
| 0
| 0
| 0
| 0.012987
| 0
| 1
| 0.083333
| true
| 0
| 0.333333
| 0.066667
| 0.483333
| 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
| 1
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
d5ed30cdb91504151b3fe0074f7f80db84cf0a3f
| 93
|
py
|
Python
|
LP2/Aula 21022019/nro_iguais.py
|
luisxfelipe/Faculdade_Impacta_2semestre
|
ad6e0bcc22496bb96f56c5ca3d930554dd5302a4
|
[
"Apache-2.0"
] | null | null | null |
LP2/Aula 21022019/nro_iguais.py
|
luisxfelipe/Faculdade_Impacta_2semestre
|
ad6e0bcc22496bb96f56c5ca3d930554dd5302a4
|
[
"Apache-2.0"
] | 6
|
2020-06-05T20:57:34.000Z
|
2022-03-11T23:47:43.000Z
|
LP2/Aula 21022019/nro_iguais.py
|
luisxfelipe/Faculdade_Impacta_2semestre
|
ad6e0bcc22496bb96f56c5ca3d930554dd5302a4
|
[
"Apache-2.0"
] | null | null | null |
def teste(n1, n2, n3):
if n1==n2==n3:
return True
else:
return False
| 15.5
| 22
| 0.505376
| 14
| 93
| 3.357143
| 0.714286
| 0.170213
| 0.255319
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.103448
| 0.376344
| 93
| 5
| 23
| 18.6
| 0.706897
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
d5f1eb6659a2738f24ea957f7e18a1bdbade2748
| 3,041
|
py
|
Python
|
DailyProgrammer/DP20170915C.py
|
DayGitH/Python-Challenges
|
bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf
|
[
"MIT"
] | 2
|
2020-12-23T18:59:22.000Z
|
2021-04-14T13:16:09.000Z
|
DailyProgrammer/DP20170915C.py
|
DayGitH/Python-Challenges
|
bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf
|
[
"MIT"
] | null | null | null |
DailyProgrammer/DP20170915C.py
|
DayGitH/Python-Challenges
|
bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf
|
[
"MIT"
] | null | null | null |
"""
[2017-09-15] Challenge #331 [Hard] Interactive Interpreter
https://www.reddit.com/r/dailyprogrammer/comments/7096nu/20170915_challenge_331_hard_interactive/
#Description
Make an interactive interpreter with 2 different capabilities
1. It should be able to take a mathematical string (fx "5 + 2") and return the result of it
2. It should be capable of assigning variables (fx "x = 5 + 2") store the value for the variable for later use and
return the value
3. Using assigned variables instead of numbers (fx "y = x * 2")
Variable names must start with a character a-z and can be continued by any alphanumeric character.
All variables will be numerical (can be either floats or integers), feel free to support arbitrarily large numbers.
The mathematical evaluator shall be capable of adding, subtracting, multiplying, dividing, exponents and handling
nested parenthesis.
exponents will be using ^ as symbol.
The usual order of mathematics apply, so PEMDAS shall be applied in evaluations.
**PLEASE** refrain from using your languages built in evaluators.
#Input description
A list of strings such as (divided by \n):
5 + 5
(2 * 5 + 1) / 10
x = 1 / 2
y = x * 2
Assume all inputs to be written properly, i.e. no undefined variables or wrong placed parenthesis
Assume all whitespace as negligible so "1 2" and "12" can be assumed the same
#Output description
Output for each input line, fx from above would be:
10
1.1
0.5
1
#Challenge input
9 + 10
(2 * 5 + 1) / 10
x = 1 / 2
y = x * 2
(x + 2) * (y * (5 - 100))
z = 5*-3.14
2.6^(2 + 3/2) * (2-z)
#Challenge output
19
1.1
0.5
1
-237.5
-15.7
501.625937332
#Bonus
##Bonus 1 - Functions
Variables are nice, but it's all quite limited until we got functions
functions doesnt eval on declaration, so just make a newline as output from a funtion declaration
functions and variables can exist with the same name.
functions either look like 'func()' or 'func(arg1, arg2, arg3)' with any number of arguments needed
arguments given for functions are only used within the function themself and overwrites any variable with the given
name.
a = 2
func(a) = a
func(1) will return 1
func(1) + a will return 3
if the function requires no arguments
###Bonus input
a = 10
a() = 2
a() + a
avg(a, b) = (a + b) / 2
x = avg(69, 96)
avg(x, avg(a(), a)) + a
###Bonus output
10
12
82.5
54.25
##Bonus 2 - Errors
Handle errors 'gracefully'
Errors include but are likely not limited to:
1. Undefined variables (fx "pi * 2", pi has never been defined)
2. Wrong variable naming
3. parenthesis placed wrongly (too many open, too many closing, closing when none open etc)
4. dividing by 0
5. Functions calling itself or calling functions that end up calling itself
Return error description as output if an error occurred
#Extra
If you have any challenges, please share it at /r/dailyprogrammer_ideas!
"""
def main():
pass
if __name__ == "__main__":
main()
| 31.677083
| 115
| 0.701085
| 500
| 3,041
| 4.238
| 0.454
| 0.003775
| 0.004247
| 0.025484
| 0.015101
| 0.010382
| 0.010382
| 0.010382
| 0.010382
| 0.010382
| 0
| 0.060837
| 0.221638
| 3,041
| 95
| 116
| 32.010526
| 0.83439
| 0.975995
| 0
| 0
| 0
| 0
| 0.125
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| true
| 0.25
| 0
| 0
| 0.25
| 0
| 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
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
d5fbd500cac902ff4b001a3c651f42b33a992661
| 733
|
py
|
Python
|
JanggiGame/SocketServer/messages/message_data.py
|
MohamedAl-Hussein/janggi-game
|
0664a408563b824c0b665d755ff9b232b6f24644
|
[
"MIT"
] | null | null | null |
JanggiGame/SocketServer/messages/message_data.py
|
MohamedAl-Hussein/janggi-game
|
0664a408563b824c0b665d755ff9b232b6f24644
|
[
"MIT"
] | null | null | null |
JanggiGame/SocketServer/messages/message_data.py
|
MohamedAl-Hussein/janggi-game
|
0664a408563b824c0b665d755ff9b232b6f24644
|
[
"MIT"
] | null | null | null |
import dataclasses
from typing import List
from dtos.piece_dto import PieceDTO
@dataclasses.dataclass
class MessageData:
pass
@dataclasses.dataclass
class GameStatus(MessageData):
GameState: str
PlayerTurn: str
IsChecked: bool
@dataclasses.dataclass
class PieceDestinations(MessageData):
Source: List[int]
Destinations: List[List[int]]
@dataclasses.dataclass
class SetupCompleted(MessageData):
BlueLeftTransposed: bool
BlueRightTransposed: bool
RedLeftTransposed: bool
RedRightTransposed: bool
@dataclasses.dataclass
class MoveCompleted(MessageData):
Source: List[int]
Destination: List[int]
@dataclasses.dataclass
class PieceData(MessageData):
Pieces: List[PieceDTO]
| 17.452381
| 37
| 0.766712
| 72
| 733
| 7.791667
| 0.444444
| 0.213904
| 0.26738
| 0.103387
| 0.114082
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.160982
| 733
| 41
| 38
| 17.878049
| 0.912195
| 0
| 0
| 0.285714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.035714
| 0.107143
| 0
| 0.75
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
910b22853d86468f3dddff2ab6d125e97e75ffbd
| 3,662
|
py
|
Python
|
src/tests/test_with.py
|
virtuald/pydsltool
|
f3408eb4a560cfe7e4df870f08d747169a056792
|
[
"Apache-2.0"
] | 9
|
2016-10-07T20:27:46.000Z
|
2021-11-03T11:56:20.000Z
|
src/tests/test_with.py
|
virtuald/pydsltool
|
f3408eb4a560cfe7e4df870f08d747169a056792
|
[
"Apache-2.0"
] | null | null | null |
src/tests/test_with.py
|
virtuald/pydsltool
|
f3408eb4a560cfe7e4df870f08d747169a056792
|
[
"Apache-2.0"
] | 2
|
2017-07-21T14:27:01.000Z
|
2018-06-22T15:36:46.000Z
|
#
# py.test based tests
#
import dsltool
from inspect import cleandoc
import pytest
#
# DSL Objects
#
class GrandchildDsl(object):
grandchild_var = None
class ChildDsl(object):
child_var = None
grandchild_dsl = GrandchildDsl
class BaseDsl(object):
var = None
child_dsl = ChildDsl
#
# Test nested with statements
#
def test_with_0a0():
dsl_contents = cleandoc('''
var = 3
with ChildDsl:
child_var = 4
with GrandchildDsl:
grandchild_var = 5
''')
result = dsltool.parse_dsl(dsl_contents, BaseDsl)
assert result.var == 3
assert result.child_dsl.child_var == 4
assert result.child_dsl.grandchild_dsl.grandchild_var == 5
def test_with_0a1():
dsl_contents = cleandoc('''
var = 3
with ChildDsl as c:
c.child_var = 4
with GrandchildDsl as g:
g.grandchild_var = 5
''')
result = dsltool.parse_dsl(dsl_contents, BaseDsl)
assert result.var == 3
assert result.child_dsl.child_var == 4
assert result.child_dsl.grandchild_dsl.grandchild_var == 5
def test_with_0b0():
dsl_contents = cleandoc('''
var = 3
with ChildDsl():
child_var = 4
with GrandchildDsl():
grandchild_var = 5
''')
result = dsltool.parse_dsl(dsl_contents, BaseDsl)
assert result.var == 3
assert result.child_dsl.child_var == 4
assert result.child_dsl.grandchild_dsl.grandchild_var == 5
def test_with_0b1():
dsl_contents = cleandoc('''
var = 3
with ChildDsl() as c:
c.child_var = 4
with GrandchildDsl() as g:
g.grandchild_var = 5
''')
result = dsltool.parse_dsl(dsl_contents, BaseDsl)
assert result.var == 3
assert result.child_dsl.child_var == 4
assert result.child_dsl.grandchild_dsl.grandchild_var == 5
#
# Test missing with statements
#
def test_with_1a():
dsl_contents = cleandoc('''
''')
result = dsltool.parse_dsl(dsl_contents, BaseDsl)
assert result.var == None
assert result.child_dsl is None
def test_with_1b():
dsl_contents = cleandoc('''
var = 3
with ChildDsl:
pass
''')
result = dsltool.parse_dsl(dsl_contents, BaseDsl)
assert result.var == 3
assert result.child_dsl.child_var is None
assert result.child_dsl.grandchild_dsl is None
def test_with_1c0():
dsl_contents = cleandoc('''
var = 3
with ChildDsl:
child_var = 4
''')
result = dsltool.parse_dsl(dsl_contents, BaseDsl)
assert result.var == 3
assert result.child_dsl.child_var == 4
assert result.child_dsl.grandchild_dsl is None
def test_with_1c1():
dsl_contents = cleandoc('''
var = 3
with ChildDsl as c:
c.child_var = 4
''')
result = dsltool.parse_dsl(dsl_contents, BaseDsl)
assert result.var == 3
assert result.child_dsl.child_var == 4
assert result.child_dsl.grandchild_dsl is None
#
# Test multiple with statements
#
def test_with_2a():
dsl_contents = cleandoc('''
var = 3
with ChildDsl:
child_var = 4
with ChildDsl:
child_var = 5
''')
with pytest.raises(AttributeError):
dsltool.parse_dsl(dsl_contents, BaseDsl)
#
# Test missing classes
#
def test_with_3a():
dsl_contents = cleandoc('''
var = 3
with MissingClass:
var = 4
''')
with pytest.raises(NameError):
dsltool.parse_dsl(dsl_contents, BaseDsl)
| 21.928144
| 66
| 0.606226
| 446
| 3,662
| 4.755605
| 0.121076
| 0.130127
| 0.120226
| 0.141443
| 0.803866
| 0.756719
| 0.703442
| 0.68694
| 0.68694
| 0.68694
| 0
| 0.021526
| 0.302294
| 3,662
| 166
| 67
| 22.060241
| 0.808611
| 0.037957
| 0
| 0.681416
| 0
| 0
| 0.280902
| 0
| 0
| 0
| 0
| 0
| 0.20354
| 1
| 0.088496
| false
| 0.00885
| 0.026549
| 0
| 0.185841
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 4
|
9129f45175485075e14737e0238ab56e791ea549
| 3,502
|
py
|
Python
|
regression/process.py
|
sansastra/uncertainty_edl_graph
|
21c20bef323b520f6031ca54c2eb1fd020841f9d
|
[
"Apache-2.0"
] | 4
|
2021-08-09T20:46:22.000Z
|
2022-03-23T15:58:30.000Z
|
regression/process.py
|
sansastra/uncertainty_edl_graph
|
21c20bef323b520f6031ca54c2eb1fd020841f9d
|
[
"Apache-2.0"
] | null | null | null |
regression/process.py
|
sansastra/uncertainty_edl_graph
|
21c20bef323b520f6031ca54c2eb1fd020841f9d
|
[
"Apache-2.0"
] | 1
|
2021-11-02T14:29:51.000Z
|
2021-11-02T14:29:51.000Z
|
from sklearn.preprocessing import MinMaxScaler
from sklearn.metrics import mean_squared_error
import numpy as np
import pandas as pd
import math
import matplotlib.pyplot as plt
# from src.trajectory_pred.load_data_traj import load_test_data, load_test_interpolated_data
from src.trajectory_pred.ENUtransform import WGS84toENU, ENUtoWGS84, WGS84toECEF
geo_area = [11.5, 12.5, 54.2, 54.5] # [11, 13, 54, 55] #
# ref = {'lon': 12.0, 'lat': 54.35, 'ECEF': WGS84toECEF(12.0, 54.35)}
# geo_area_ENU = WGS84toENU(geo_area[0:2], geo_area[2:4], ref, h=0.)
# geo_area_ENU = np.delete(geo_area_ENU.T, np.s_[2],axis=1)
geo_area_ENU = np.array(geo_area).reshape(2,2).T
cluster_max = 7.0 # 0-6 for real edges + 1 for noise
sog_max = 30.0
def scale_lon_lat_cog_sog_cluster(data):
data[:, 0] = (data[:, 0] - geo_area_ENU[0, 0]) / (geo_area_ENU[1, 0] - geo_area_ENU[0, 0]) # lon
data[:, 1] = (data[:, 1] - geo_area_ENU[0, 1]) / (geo_area_ENU[1, 1] - geo_area_ENU[0, 1]) # lat
data[:, 2] = data[:, 2] / 360.0
data[:, 3] = data[:, 3] / sog_max
data[:, 4] = data[:, 4]/cluster_max
return data
def scale_lon_lat_cog_sog(data):
data[:, 0] = (data[:, 0] - geo_area_ENU[0, 0]) / (geo_area_ENU[1, 0] - geo_area_ENU[0, 0]) # lon
data[:, 1] = (data[:, 1] - geo_area_ENU[0, 1]) / (geo_area_ENU[1, 1] - geo_area_ENU[0, 1]) # lat
data[:, 2] = data[:, 2] / 360.0
data[:, 3] = data[:, 3] / sog_max
return data
def scale_lon(lon):
return (lon - geo_area_ENU[0, 0]) / (geo_area_ENU[1, 0] - geo_area_ENU[0, 0]) # lon
def scale_lat(lat):
return (lat - geo_area_ENU[0, 1]) / (geo_area_ENU[1, 1] - geo_area_ENU[0, 1]) # lat
def scale_cog(cog):
return cog/360.0
def scale_cluster(cluster):
return cluster/cluster_max
def scale_sog(sog):
return sog/cluster_max
def inverse_transform_lon_lat_cog_sog_cluster(data):
data[:, 0] = (data[:, 0]) * (geo_area_ENU[1, 0] - geo_area_ENU[0, 0]) + geo_area_ENU[0, 0]
data[:, 1] = (data[:, 1]) * (geo_area_ENU[1, 1] - geo_area_ENU[0, 1]) + geo_area_ENU[0, 1]
data[:, 2] = 360*data[:,2]
data[:, 3] = sog_max*data[:, 3]
data[:, 4] = cluster_max*data[:, 4]
return data
def inverse_transform_lon_lat_cog_sog(data):
data[:, 0] = (data[:, 0]) * (geo_area_ENU[1, 0] - geo_area_ENU[0, 0]) + geo_area_ENU[0, 0]
data[:, 1] = (data[:, 1]) * (geo_area_ENU[1, 1] - geo_area_ENU[0, 1]) + geo_area_ENU[0, 1]
data[:, 2] = 360*data[:,2]
data[:, 3] = sog_max*data[:, 3]
return data
def inverse_transform_lon_lat(data):
data[:, 0] = (data[:, 0]) * (geo_area_ENU[1, 0] - geo_area_ENU[0, 0]) + geo_area_ENU[0, 0]
data[:, 1] = (data[:, 1]) * (geo_area_ENU[1, 1] - geo_area_ENU[0, 1]) + geo_area_ENU[0, 1]
return data
def inverse_transform_lon(lon):
return (lon) * (geo_area_ENU[1, 0] - geo_area_ENU[0, 0]) + geo_area_ENU[0, 0]
def inverse_transform_lat(lat):
return (lat) * (geo_area_ENU[1, 1] - geo_area_ENU[0, 1]) + geo_area_ENU[0, 1]
def inverse_transform_cog(cog):
return 360.0*(cog)
def inverse_transform_sog(sog):
return sog_max* (sog)
def inverse_transform_cluster(cluster):
return cluster_max * cluster
def reshape_data(x_train, INPUT_LEN, dim):
# samples_train = x_train.shape[0]
# x_train = x_train[:samples_train][:]
print('size = ', x_train.shape[0])
x_train.shape = (x_train.shape[0], INPUT_LEN, dim)
return x_train
| 34.333333
| 102
| 0.622501
| 612
| 3,502
| 3.28268
| 0.133987
| 0.174216
| 0.22897
| 0.15331
| 0.538079
| 0.536088
| 0.480338
| 0.409159
| 0.409159
| 0.409159
| 0
| 0.075323
| 0.203884
| 3,502
| 102
| 103
| 34.333333
| 0.645265
| 0.122216
| 0
| 0.353846
| 0
| 0
| 0.002366
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.246154
| false
| 0
| 0.107692
| 0.153846
| 0.6
| 0.015385
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
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| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
912bd6645c54d36ea79023da21d21be0a8f7ef07
| 134
|
py
|
Python
|
instwitter/formatters/__init__.py
|
sovnarkom/instwitter-py
|
971ec9db5c75476b8fc51adc90eb368951152341
|
[
"MIT"
] | null | null | null |
instwitter/formatters/__init__.py
|
sovnarkom/instwitter-py
|
971ec9db5c75476b8fc51adc90eb368951152341
|
[
"MIT"
] | 1
|
2017-11-27T04:13:29.000Z
|
2017-11-27T04:13:29.000Z
|
instwitter/formatters/__init__.py
|
sovnarkom/instwitter-py
|
971ec9db5c75476b8fc51adc90eb368951152341
|
[
"MIT"
] | null | null | null |
'''
Created on Jul 31, 2009
@author: aleksandrcicenin
'''
class Formatter(object):
def format(self, data):
return data
| 12.181818
| 27
| 0.649254
| 16
| 134
| 5.4375
| 0.9375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.058252
| 0.231343
| 134
| 10
| 28
| 13.4
| 0.786408
| 0.373134
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
9137176acc89985c2bda99a1ee376d36422d3605
| 121
|
py
|
Python
|
api/src/opentrons/protocols/context/__init__.py
|
anuwrag/opentrons
|
28c8d76a19e367c6bd38f5290faaa32abf378715
|
[
"Apache-2.0"
] | 235
|
2017-10-27T20:37:27.000Z
|
2022-03-30T14:09:49.000Z
|
api/src/opentrons/protocols/context/__init__.py
|
anuwrag/opentrons
|
28c8d76a19e367c6bd38f5290faaa32abf378715
|
[
"Apache-2.0"
] | 8,425
|
2017-10-26T15:25:43.000Z
|
2022-03-31T23:54:26.000Z
|
api/src/opentrons/protocols/context/__init__.py
|
anuwrag/opentrons
|
28c8d76a19e367c6bd38f5290faaa32abf378715
|
[
"Apache-2.0"
] | 130
|
2017-11-09T21:02:37.000Z
|
2022-03-15T18:01:24.000Z
|
"""
This package defines the interfaces that implement the ProtocolContext,
InstrumentContext, and related classes.
"""
| 24.2
| 71
| 0.793388
| 13
| 121
| 7.384615
| 0.923077
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.132231
| 121
| 4
| 72
| 30.25
| 0.914286
| 0.92562
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 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
| 4
|
9150937cac8edc50e841637224a2707b2202bd0c
| 254
|
py
|
Python
|
src/backend/joanie/core/utils.py
|
openfun/joanie
|
9e820d04875baa3ddd57917a1f71157a32187af0
|
[
"MIT"
] | 6
|
2021-02-22T08:43:08.000Z
|
2022-02-18T14:48:46.000Z
|
src/backend/joanie/core/utils.py
|
openfun/joanie
|
9e820d04875baa3ddd57917a1f71157a32187af0
|
[
"MIT"
] | 25
|
2021-01-28T20:19:59.000Z
|
2022-02-23T10:20:14.000Z
|
src/backend/joanie/core/utils.py
|
openfun/joanie
|
9e820d04875baa3ddd57917a1f71157a32187af0
|
[
"MIT"
] | null | null | null |
"""
Utils that can be useful throughout Joanie's core app
"""
from django.utils.text import slugify
def normalize_code(code):
"""Normalize object codes to avoid duplicates."""
return slugify(code, allow_unicode=False).upper() if code else None
| 25.4
| 71
| 0.740157
| 37
| 254
| 5.027027
| 0.837838
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.15748
| 254
| 9
| 72
| 28.222222
| 0.869159
| 0.38189
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0
| 1
| 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
| 1
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
e6ae31273ece352541582dcfcea45d33de9c7822
| 8,176
|
py
|
Python
|
cg_manage_rds/cli.py
|
rbogle/cg-manage-rds
|
a6bcabcf92ce4abe85e03d369686ac3de9cdfc63
|
[
"CC0-1.0"
] | null | null | null |
cg_manage_rds/cli.py
|
rbogle/cg-manage-rds
|
a6bcabcf92ce4abe85e03d369686ac3de9cdfc63
|
[
"CC0-1.0"
] | null | null | null |
cg_manage_rds/cli.py
|
rbogle/cg-manage-rds
|
a6bcabcf92ce4abe85e03d369686ac3de9cdfc63
|
[
"CC0-1.0"
] | null | null | null |
import click
from cg_manage_rds import commands
CONTEXT_SETTINGS = dict(help_option_names=["-h", "-?", "--help"])
@click.group(context_settings=CONTEXT_SETTINGS)
def main():
"""
Application to export, import, or clone a rds service instance from the aws-broker on Cloud.gov
"""
## CHECK
@click.option(
"-e",
"--engine",
type=click.Choice(["pgsql", "mysql"], case_sensitive=False),
help="Database engine type",
show_default=True,
)
@main.command(context_settings=CONTEXT_SETTINGS)
@click.argument("service")
def check(engine, service):
"""
Check local system for required utilities for a DB engine.
"""
commands.check(service, engine)
## SETUP
@main.command(context_settings=CONTEXT_SETTINGS)
@click.option("-k", "--key", type=str, help="service key name", default="key")
@click.option("-a", "--app", type=str, help="app name", default="ssh-app")
@click.option(
"-e",
"--engine",
type=click.Choice(["pgsql", "mysql"], case_sensitive=False),
help="Database engine type",
show_default=True,
)
@click.argument("service")
def setup(service, key, app, engine):
"""
Setup app, key, and tunnel to a aws-rds service instance
SERVICE name of the service instance
"""
click.echo(f"Setting up key, app and tunnel for {service}")
creds, _ = commands.setup(service, engine, app, key)
click.echo(f"key, app and tunnel for {service} setup!")
click.echo(f"You can connect to {service} using this:")
click.secho(creds.get("uri"), fg="yellow")
## TEARDOWN
@main.command(context_settings=CONTEXT_SETTINGS)
@click.option("-k", "--key", type=str, help="service key name", default="key")
@click.option("-a", "--app", type=str, help="app name", default="ssh-app")
@click.option("-p", "--pid", type=int, help="pid of tunnel", default=0)
@click.argument("service")
def cleanup(
service,
pid,
key,
app,
):
"""
Cleanup key, app, and tunnel to a aws-rds service instance
SERVICE name of the db service instance
"""
click.echo(f"Cleaning up the app, key and tunnel for {service}")
commands.cleanup(service, pid, app, key)
click.echo("Clean up complete")
## Export
@main.command("export",context_settings=CONTEXT_SETTINGS)
@click.option(
"-e",
"--engine",
type=click.Choice(["pgsql", "mysql"], case_sensitive=False),
help="Database engine type",
show_default=True,
)
@click.option(
"-f",
"--output-file",
default="db_backup.sql",
help="Output file name",
show_default=True,
)
@click.option(
"-o",
"--options",
type=str,
help="cli options for the backup client",
)
@click.option(
"-s",
"--setup",
type=bool,
default=True,
help="peform app/tunnel setup",
show_default=True,
)
@click.option(
"-c",
"--cleanup",
type=bool,
default=True,
help="peform app/tunnel cleanup",
show_default=True,
)
@click.option(
"-k",
"--key-name",
type=str,
default="key",
help="use this service key name",
show_default=True,
)
@click.option(
"-a",
"--app-name",
type=str,
default="ssh-app",
help="use this app name",
show_default=True,
)
@click.option(
"--force-options",
type=bool,
default=False,
help="override engine default options with yours",
show_default=True,
)
@click.argument("source")
def export_db(
source,
engine,
output_file,
options,
force_options,
key_name,
app_name,
setup,
cleanup,
):
"""
Export data and/or schema from SOURCE aws-rds service instance
By default export will not preserve ownership,
and will attempt to create objects if they do not exist.
These defaults can be overridden with the --force-options flag.
You can insert additional options and flags to the clients
using -o --options.
"""
click.echo(f"Exporting {source} to file: {output_file}")
commands.export_from_svc(
source,
engine,
output_file,
options,
force_options,
service_key=key_name,
app_name=app_name,
do_setup=setup,
do_teardown=cleanup,
)
## Import
@main.command("import",context_settings=CONTEXT_SETTINGS)
@click.option(
"-e",
"--engine",
type=click.Choice(["pgsql", "mysql"], case_sensitive=False),
help="Database engine type",
show_default=True,
)
@click.option(
"-f",
"--input-file",
default="db_backup.sql",
help="Input file name",
show_default=True,
)
@click.option(
"-o",
"--options",
type=str,
help="cli options for the backup client",
)
@click.option(
"-s",
"--setup",
type=bool,
default=True,
help="peform app/tunnel setup",
show_default=True,
)
@click.option(
"-c",
"--cleanup",
type=bool,
default=True,
help="peform app/tunnel teardown",
show_default=True,
)
@click.option(
"-k",
"--key-name",
type=str,
default="key",
help="use this service key name",
show_default=True,
)
@click.option(
"-a",
"--app-name",
type=str,
default="ssh-app",
help="use this app name",
show_default=True,
)
@click.option(
"--force-options",
type=bool,
default=False,
help="override engine default options with yours",
show_default=True,
)
@click.argument("destination")
def import_db(
destination,
engine,
input_file,
options,
force_options,
key_name,
app_name,
setup,
cleanup,
):
"""
Import data and/or schema to DESTINATION rds service instance
By default import will not preserve ownership,
and will attempt to create objects if they do not exist.
These defaults can be overridden with the --force-options flag.
You can insert additional options and flags to the clients
using -o --options.
"""
click.echo(f"Importing to {destination} from file: {input_file}")
commands.import_to_svc(
destination,
engine,
input_file,
options,
force_options,
service_key=key_name,
app_name=app_name,
do_setup=setup,
do_cleanup=cleanup,
)
## CLONE
@main.command(context_settings=CONTEXT_SETTINGS)
@click.option(
"-e",
"--engine",
type=click.Choice(["pgsql", "mysql"], case_sensitive=False),
help="Database engine type",
show_default=True,
)
@click.option(
"-f",
"--output-file",
default="db_backup.sql",
help="Output file name",
show_default=True,
)
@click.option(
"-b",
"--boptions",
type=str,
help="cli options for the backup client",
)
@click.option(
"-r",
"--roptions",
type=str,
help="cli options for the restore client",
)
@click.option(
"-k",
"--key-name",
type=str,
default="key",
help="use this service key name",
show_default=True,
)
@click.option(
"-a",
"--app-name",
type=str,
default="ssh-app",
help="use this app name",
show_default=True,
)
@click.option(
"--force-options",
type=bool,
default=False,
help="override engine default options with yours",
show_default=True,
)
@click.argument("source")
@click.argument("destination")
def clone(
source,
destination,
engine,
output_file,
boptions,
roptions,
force_options,
key_name,
app_name,
):
"""
Migrate data from one rds service to another rds service instance.
By default export and import will not preserve ownership,
and will attempt to create objects if they do not exist.
These defaults can be overridden with the --force-options flag.
You can insert additional options and flags to the clients
with either -b --boptions or -r --roptions.
"""
click.echo(f"Cloning the database: {source} to {destination}")
commands.clone(
source,
destination,
engine,
output_file,
boptions,
roptions,
force_options,
key_name,
app_name,
)
click.echo("Cloning complete!")
if __name__ == "__main__":
main()
| 22.217391
| 99
| 0.622676
| 1,029
| 8,176
| 4.853256
| 0.13897
| 0.066079
| 0.063076
| 0.080096
| 0.753304
| 0.736284
| 0.707849
| 0.677213
| 0.67501
| 0.67501
| 0
| 0.00016
| 0.235934
| 8,176
| 367
| 100
| 22.277929
| 0.799264
| 0.167319
| 0
| 0.744027
| 0
| 0
| 0.244499
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.023891
| false
| 0
| 0.020478
| 0
| 0.044369
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 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
| 4
|
e6dff66d6b71f1c8c5e2b7b75e93dc306f418d8c
| 96
|
py
|
Python
|
build/lib/djinn/physics/Mass.py
|
djeof-1/Djinn-IV
|
2b191b68109f46a9fc264b6a823f70beb58ddffd
|
[
"MIT"
] | 3
|
2015-12-26T11:48:34.000Z
|
2016-01-13T14:24:27.000Z
|
build/lib/djinn/physics/Mass.py
|
l0ftyWhizZ/DJINN-IV
|
2b191b68109f46a9fc264b6a823f70beb58ddffd
|
[
"MIT"
] | 1
|
2015-12-28T14:15:26.000Z
|
2015-12-28T14:15:26.000Z
|
djinn/physics/Mass.py
|
djeof-1/Djinn-IV
|
2b191b68109f46a9fc264b6a823f70beb58ddffd
|
[
"MIT"
] | 2
|
2016-01-05T10:18:13.000Z
|
2016-01-16T09:45:28.000Z
|
class Mass:
def __init__(self,val):
self.mass = val
self.weight = val*9.8
| 13.714286
| 29
| 0.552083
| 14
| 96
| 3.5
| 0.642857
| 0.285714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.03125
| 0.333333
| 96
| 6
| 30
| 16
| 0.734375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
fc21e49a9ac22dfd41323943e3f22a3778646500
| 156
|
py
|
Python
|
test/test_log.py
|
glowatsk/txtorcon
|
db8de75a4568561b118be11299bda61f3fb84719
|
[
"MIT"
] | 180
|
2015-01-12T23:57:06.000Z
|
2022-03-17T00:24:35.000Z
|
test/test_log.py
|
glowatsk/txtorcon
|
db8de75a4568561b118be11299bda61f3fb84719
|
[
"MIT"
] | 262
|
2015-01-16T21:14:50.000Z
|
2022-02-25T01:33:42.000Z
|
test/test_log.py
|
glowatsk/txtorcon
|
db8de75a4568561b118be11299bda61f3fb84719
|
[
"MIT"
] | 61
|
2015-01-05T01:10:57.000Z
|
2022-01-04T08:13:39.000Z
|
from twisted.trial import unittest
from txtorcon import log
class LoggingTests(unittest.TestCase):
def test_debug(self):
log.debug_logging()
| 17.333333
| 38
| 0.75
| 20
| 156
| 5.75
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.179487
| 156
| 8
| 39
| 19.5
| 0.898438
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| 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
| 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
| 4
|
fc27b915951fc7ebe9a7f6ad886fd3cb577e454e
| 146
|
py
|
Python
|
wafec_tests_openstack_testware/src/wafec_tests_openstack_testware/types.py
|
wafec/wafec-tests-openstack-testware
|
f06789800b40f316183736ee805af4b352a825ab
|
[
"MIT"
] | null | null | null |
wafec_tests_openstack_testware/src/wafec_tests_openstack_testware/types.py
|
wafec/wafec-tests-openstack-testware
|
f06789800b40f316183736ee805af4b352a825ab
|
[
"MIT"
] | null | null | null |
wafec_tests_openstack_testware/src/wafec_tests_openstack_testware/types.py
|
wafec/wafec-tests-openstack-testware
|
f06789800b40f316183736ee805af4b352a825ab
|
[
"MIT"
] | null | null | null |
class Undefined(object):
@staticmethod
def is_undefined(value):
return value is not None and issubclass(type(value), Undefined)
| 20.857143
| 71
| 0.705479
| 18
| 146
| 5.666667
| 0.722222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.212329
| 146
| 6
| 72
| 24.333333
| 0.886957
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0.25
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 4
|
fc40f1966fd9410539f75b56fd948613796215ae
| 293
|
py
|
Python
|
paraffin/matching/__init__.py
|
UKFELs/Paraffin
|
9e4243bf4910fa7b1aa42a0b1ab001fc21add2d6
|
[
"BSD-3-Clause"
] | null | null | null |
paraffin/matching/__init__.py
|
UKFELs/Paraffin
|
9e4243bf4910fa7b1aa42a0b1ab001fc21add2d6
|
[
"BSD-3-Clause"
] | 1
|
2018-12-15T07:51:54.000Z
|
2018-12-17T11:44:49.000Z
|
paraffin/matching/__init__.py
|
UKFELs/Paraffin
|
9e4243bf4910fa7b1aa42a0b1ab001fc21add2d6
|
[
"BSD-3-Clause"
] | 1
|
2018-10-04T12:06:25.000Z
|
2018-10-04T12:06:25.000Z
|
# Copyright (c) 2012-2018, University of Strathclyde
# Authors: Lawrence T. Campbell
# License: BSD-3-Clause
from SUMatch import SU2Matched
from getTwiss import getMatchTwiss
from getTwiss import getFODOTwiss
from getTwiss import getUndTwiss
from getBeamTwiss import getTwiss as getBeamTwiss
| 29.3
| 52
| 0.829352
| 37
| 293
| 6.567568
| 0.675676
| 0.148148
| 0.222222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.039216
| 0.129693
| 293
| 9
| 53
| 32.555556
| 0.913725
| 0.348123
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
fc622b52e8a04d29b050ceb65c5fb80e190a217d
| 305
|
py
|
Python
|
icekit/project/settings/_tox.py
|
ic-labs/django-icekit
|
c507ea5b1864303732c53ad7c5800571fca5fa94
|
[
"MIT"
] | 52
|
2016-09-13T03:50:58.000Z
|
2022-02-23T16:25:08.000Z
|
icekit/project/settings/_tox.py
|
ic-labs/django-icekit
|
c507ea5b1864303732c53ad7c5800571fca5fa94
|
[
"MIT"
] | 304
|
2016-08-11T14:17:30.000Z
|
2020-07-22T13:35:18.000Z
|
icekit/project/settings/_tox.py
|
ic-labs/django-icekit
|
c507ea5b1864303732c53ad7c5800571fca5fa94
|
[
"MIT"
] | 12
|
2016-09-21T18:46:35.000Z
|
2021-02-15T19:37:50.000Z
|
from ._test import *
# DJANGO ######################################################################
CACHES['default'].update({'BACKEND': 'redis_lock.django_cache.RedisCache'})
# CELERY ######################################################################
BROKER_URL = 'redis://%s/0' % REDIS_ADDRESS
| 30.5
| 79
| 0.377049
| 21
| 305
| 5.238095
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.003521
| 0.068852
| 305
| 9
| 80
| 33.888889
| 0.383803
| 0.045902
| 0
| 0
| 0
| 0
| 0.408163
| 0.231293
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
fc6c20d1fe0a765f5338cee3c43ade820570930b
| 107
|
py
|
Python
|
backend/config.py
|
myuanz/sensor-service-platform
|
159fcebdb2fea9e256a7fd19dc8387e2879ad690
|
[
"Apache-2.0"
] | null | null | null |
backend/config.py
|
myuanz/sensor-service-platform
|
159fcebdb2fea9e256a7fd19dc8387e2879ad690
|
[
"Apache-2.0"
] | null | null | null |
backend/config.py
|
myuanz/sensor-service-platform
|
159fcebdb2fea9e256a7fd19dc8387e2879ad690
|
[
"Apache-2.0"
] | null | null | null |
MONGO_URI = "mongodb://10.18.52.137:27018/sensor"
#SERVER_NAME = "192.168.1.101"
LASTED_PROTOCOLVERSION = 2
| 35.666667
| 49
| 0.747664
| 18
| 107
| 4.277778
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.252525
| 0.074766
| 107
| 3
| 50
| 35.666667
| 0.525253
| 0.271028
| 0
| 0
| 0
| 0
| 0.448718
| 0.448718
| 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
| 1
| 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
| 4
|
fc6f4ffaa838ba057b402b881df6b231f784fe3d
| 239
|
py
|
Python
|
service/wsgi.py
|
Fuinn/mos-backend
|
bbdd52cf669bb8360c94d9f64fb52aa32efa6520
|
[
"Apache-2.0"
] | 2
|
2022-03-08T19:27:14.000Z
|
2022-03-08T22:41:59.000Z
|
service/wsgi.py
|
Fuinn/mos-backend
|
bbdd52cf669bb8360c94d9f64fb52aa32efa6520
|
[
"Apache-2.0"
] | null | null | null |
service/wsgi.py
|
Fuinn/mos-backend
|
bbdd52cf669bb8360c94d9f64fb52aa32efa6520
|
[
"Apache-2.0"
] | null | null | null |
import os
from django.core.wsgi import get_wsgi_application
from dotenv import load_dotenv, find_dotenv
load_dotenv(find_dotenv())
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "service.settings")
application = get_wsgi_application()
| 23.9
| 67
| 0.832636
| 33
| 239
| 5.727273
| 0.484848
| 0.074074
| 0.190476
| 0.21164
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.083682
| 239
| 9
| 68
| 26.555556
| 0.863014
| 0
| 0
| 0
| 0
| 0
| 0.158996
| 0.09205
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
fc75863ebbe4bbc4a6d905f372fcd7767fe3b917
| 84,519
|
py
|
Python
|
tmp/petunjuk.py
|
ZarifTurkey/TheneonS2-Selfbot
|
f8b827b55d04aac1aa0df57206867d727614e0e9
|
[
"MIT"
] | 3
|
2020-11-08T10:13:55.000Z
|
2020-11-13T12:19:54.000Z
|
tmp/petunjuk.py
|
ZarifTurkey/TheneonS2-Selfbot
|
f8b827b55d04aac1aa0df57206867d727614e0e9
|
[
"MIT"
] | null | null | null |
tmp/petunjuk.py
|
ZarifTurkey/TheneonS2-Selfbot
|
f8b827b55d04aac1aa0df57206867d727614e0e9
|
[
"MIT"
] | 2
|
2020-04-15T00:12:25.000Z
|
2020-04-15T00:12:53.000Z
|
import humanize,requests,traceback
from random import randint
from bs4 import BeautifulSoup
def instagramku(msg,wait,tksop,ss):
data = {
"messages": [
{
"type": "flex",
"altText": "INSTAGRAM",
"contents": {
"type": "bubble",
"header": {
"type": "box",
"layout": "horizontal",
"contents": [
{
"type": "text",
"text": "{}".format(ss['full_name']),
"weight": "bold",
"color": "#262423",
"size": "sm"
}
]
},
"hero": {
"type": "image",
"url": "{}".format(ss['profile_pic_url_hd']),
"size": "full",
"aspectRatio": "1:1",
},
"body": {
"type": "box",
"layout": "vertical",
"contents": [
{
"type": "text",
"text": "INSTAGRAM PROFILE",
"weight": "bold",
"size": "md",
"margin": "md"
},
{
"type": "separator",
"color": "#000000",
},
{
"type": "box",
"layout": "vertical",
"margin": "lg",
"spacing": "sm",
"contents": [
{
"type": "box",
"layout": "baseline",
"spacing": "sm",
"contents": [
{
"type": "text",
"text": "Nama",
"color": "#aaaaaa",
"size": "sm",
"flex": 3
},
{
"type": "text",
"text": "{}".format(ss['full_name']),
"color": "#262423",
"size": "sm",
"wrap": True,
"flex": 5
}
]
},
{
"type": "box",
"layout": "baseline",
"spacing": "sm",
"contents": [
{
"type": "text",
"text": "Username",
"color": "#aaaaaa",
"size": "sm",
"flex": 3
},
{
"type": "text",
"text": "{}".format(tksop),
"color": "#262423",
"size": "sm",
"wrap": True,
"flex": 5
}
]
},
{
"type": "box",
"layout": "baseline",
"spacing": "sm",
"contents": [
{
"type": "text",
"text": "Bio",
"color": "#aaaaaa",
"size": "sm",
"flex": 3
},
{
"type": "text",
"text": "{}".format(ss['biography']),
"color": "#262423",
"wrap": True,
"size": "sm",
"flex": 5
}
]
},
{
"type": "box",
"layout": "baseline",
"spacing": "sm",
"contents": [
{
"type": "text",
"text": "Private",
"color": "#aaaaaa",
"size": "sm",
"flex": 3
},
{
"type": "text",
"text": "{}".format(ss['is_private']),
"color": "#262423",
"wrap": True,
"size": "sm",
"flex": 5
}
]
},
{
"type": "box",
"layout": "baseline",
"spacing": "sm",
"contents": [
{
"type": "text",
"text": "Followers",
"color": "#aaaaaa",
"size": "sm",
"flex": 3
},
{
"type": "text",
"text": "{}".format(humanize.intcomma(ss['edge_followed_by']['count'])),
"color": "#262423",
"wrap": True,
"size": "sm",
"flex": 5
}
]
},
{
"type": "box",
"layout": "baseline",
"spacing": "sm",
"contents": [
{
"type": "text",
"text": "Following",
"color": "#aaaaaa",
"size": "sm",
"flex": 3
},
{
"type": "text",
"text": "{}".format(humanize.intcomma(ss['edge_follow']['count'])),
"color": "#262423",
"wrap": True,
"size": "sm",
"flex": 5
}
]
},
{
"type": "box",
"layout": "baseline",
"spacing": "sm",
"contents": [
{
"type": "text",
"text": "Post",
"color": "#aaaaaa",
"size": "sm",
"flex": 3
},
{
"type": "text",
"text": "{}".format(humanize.intcomma(ss['edge_owner_to_timeline_media']['count'])),
"color": "#262423",
"wrap": True,
"size": "sm",
"flex": 5
}
]
}
]
}
]
},
"footer": {
"type": "box",
"layout": "vertical",
"contents": [{
"type": "box",
"layout": "horizontal",
"contents": [{
"type": "button",
"flex": 2,
"style": "primary",
"color": "#FF2B00",
"height": "sm",
"action": {
"type": "uri",
"label": "POST",
"uri": "{}instagram%20post%20{}".format(wait['ttt'],tksop)
}
}, {
"flex": 3,
"type": "button",
"margin": "sm",
"style": "primary",
"color": "#097500",
"height": "sm",
"action": {
"type": "uri",
"label": "STORY",
"uri": '{}instagram%20story%20{}'.format(wait['ttt'],tksop)
}
}]
}, {
"type": "button",
"margin": "sm",
"style": "primary",
"color": "#0874DE",
"height": "sm",
"action": {
"type": "uri",
"label": "GO TO PAGE",
"uri": 'https://www.instagram.com/{}'.format(tksop)
}
}]
}
}
}
]
}
return data
def gimagesa(a,ret_):
for i in a:
if '.gif' in i['img']:
links = 'line://app/1602687308-GXq4Vvk9?type=image&img='
else:
links = 'line://app/1602687308-GXq4Vvk9?type=image&img='
ret_.append({
"type": "bubble",
"hero": {
"type": "image",
"url": i['img'],
"size": "full",
"aspectRatio": "1:1",
"aspectMode": "fit",
},
"footer": {
"type": "box",
"layout": "vertical",
"spacing": "sm",
"contents": [
{
"type": "button",
"style": "link",
"height": "sm",
"action": {
"type": "uri",
"label": "Send Image",
"uri": "{}{}".format(links,i['img'])
}
},
],
}})
return ret_
def DramaEnak(drama,text,to,deff,wait):
if drama in ['drama','fantasi','comedy','sol','romance','thriller','horror']:
if drama == 'drama':drama = 0
if drama == 'fantasi':drama = 1
if drama == 'comedy':drama = 2
if drama == 'sol':drama = 3
if drama == 'romance':drama = 4
if drama == 'thriller':drama = 5
if drama == 'horror':drama = 6
data = deff
ss = []
h = []
if len(text.split(' ')) == 6:
try:
if text.split(' ')[3].lower() != 'page':return
b = requests.get(data[drama].find_all('a')[int(text.split(' ')[2])-1].get('href'))
soup1 = BeautifulSoup(b.text,'html5lib')
data2 = soup1.find_all(id='_listUl')
data3 = data2[0].find_all('a')
b = requests.get(data3[int(text.split(' ')[5])-1].get('href'))
soup1 = BeautifulSoup(b.text,'html5lib')
print(soup1)
date = soup1.select('img._images')
for b in range(0,len(date)):
url = date[b]['data-url']
#print(url)
ss.append({
"type": "bubble",
"hero": {
"type": "image",
"url": url,
"size": "full",
"aspectRatio": "1:1",
"aspectMode": "fit",
}})
k = len(ss)//10
h = []
for aa in range(k+1):
h.append({
"messages": [
{
"type": "flex",
"altText": "Webtoon",
"contents": {
"type": "carousel",
"contents": ss[aa*10 : (aa+1)*10]
}
}
]
})
return h
except:e = traceback.format_exc();open('w','w').write(str(e))
if len(text.split(' ')) == 2:
date = data[drama].find_all('img')
datea = data[drama].find_all(class_='info')
for b in range(0,len(date)):
url = date[b]['src']
ss.append({
"type": "bubble",
"hero": {
"type": "image",
"url": url,
"size": "full",
"aspectRatio": "1:1",
"aspectMode": "fit",
"action": {
"type": "uri",
"uri": "{}webtoon%20{}%201%20page%20{}".format(wait['ttt'],text.split(' ')[1],1)
}
},
"body": {
"type": "box",
"layout": "vertical",
"contents": [
{
"type": "box",
"layout": "vertical",
"margin": "lg",
"spacing": "sm",
"contents": [
{
"type": "box",
"layout": "baseline",
"spacing": "sm",
"contents": [
{
"type": "text",
"text": "Title",
"color": "#aaaaaa",
"size": "sm",
"flex": 1
},
{
"type": "text",
"text": "{}".format(datea[b].find_all('p')[0].text),
"color": "#262423",
"wrap": True,
"size": "sm",
"flex": 4
},
]
},
{
"type": "box",
"layout": "baseline",
"spacing": "sm",
"contents": [
{
"type": "text",
"text": 'Author:',
"color": "#aaaaaa",
"size": "sm",
"flex": 1
},
{
"type": "text",
"text": '{}'.format(datea[b].find_all('p')[1].text),
"color": "#262423",
"wrap": True,
"size": "sm",
"flex": 4
}
]
},
{
"type": "box",
"layout": "baseline",
"spacing": "sm",
"contents": [
{
"type": "text",
"text": 'Likes:',
"color": "#aaaaaa",
"size": "sm",
"flex": 1
},
{
"type": "text",
"text": '{}'.format(datea[b].find_all('p')[2].find_all('em')[0].text),
"color": "#262423",
"wrap": True,
"size": "sm",
"flex": 4
}
]
}
]
},
{
"type": "separator",
"color": "#000000",
},
{
"type": "box",
"layout": "vertical",
"margin": "lg",
"spacing": "sm",
"contents": [
{
"type": "text",
"text": 'Click The Image For Cek Episode',
"color": "#262423",
"wrap": True,
"size": "md",
"weight": "bold",
}
]
},
]
}})
k = len(ss)//10
h = []
for aa in range(k+1):
h.append({
"messages": [
{
"type": "flex",
"altText": "Webtoon",
"contents": {
"type": "carousel",
"contents": ss[aa*10 : (aa+1)*10]
}
}
]
})
return h
if len(text.split(' ')) == 5:
if text.split(' ')[3].lower() != 'page':return
b = requests.get(data[drama].find_all('a')[int(text.split(' ')[2])-1].get('href')+'&page='+str(int(text.split(' ')[4])))
soup1 = BeautifulSoup(b.text,'html5lib')
data11 = soup1.find_all(class_='subj')
data2 = soup1.find_all(id='_listUl')
data3 = data2[0].find_all('a')
data4 = data2[0].find_all('img')
if len(data4) == 10:jumlah = 10
else:jumlah = len(data4)
for c in range(0,jumlah):
url = data4[c]['src']
ss.append({
"type": "bubble",
"hero": {
"type": "image",
"url": url,
"size": "full",
"aspectRatio": "1:1",
"aspectMode": "fit",
},
"body": {
"type": "box",
"layout": "vertical",
"contents": [
{
"type": "box",
"layout": "vertical",
"margin": "lg",
"spacing": "sm",
"contents": [
{
"type": "box",
"layout": "baseline",
"spacing": "sm",
"contents": [
{
"type": "text",
"text": "Title",
"color": "#aaaaaa",
"size": "sm",
"flex": 1
},
{
"type": "text",
"text": "{}".format(data11[c+1].text),
"color": "#262423",
"wrap": True,
"size": "sm",
"flex": 5
}
]
}
]
}
]
},
"footer": {
"type": "box",
"layout": "horizontal",
"contents": [
{
"type": "button",
"style": "link",
"action": {
"type": "uri",
"label": "Go Page",
"uri": data3[c].get('href')
}
},
{
"type": "button",
"style": "link",
"action": {
"type": "uri",
"label": "Read Online",
"uri": "{}webtoon%20{}%20{}%20page%20{}%201".format(wait['ttt'],text.split(' ')[1],text.split(' ')[2],c+1)
}
}
],
}})
data = {
"messages": [
{
"type": "flex",
"altText": "Webtoon",
"contents": {
"type": "carousel",
"contents": ss
}
}
]
}
return [data]
def Anloki(msg,kamui,chatingan):
if msg.text.lower() == 'announ clear':
a = kamui.getChatRoomAnnouncements(msg.to)
try:
for b in a:
kamui.removeChatRoomAnnouncement(msg.to,b.announcementSeq)
kamui.sendMessage(msg.to, 'Done')
except Exception as e:
ee = traceback.format_exc()
kamui.sendMessage(msg.to, '{}'.format(e))
else:
adit = chatingan
adit.text = kamui.adityasplittext(msg.text,'ss')
adit.link= 'line://nv/chatMsg?chatId={}&messageId={}'.format(msg.to,msg.id)
adit.displayFields = 1
try:
adit.thumbnail = "http://dl.profile.line-cdn.net/"+ kamui.getGroup(msg.to).pictureStatus
except:
adit.thumbnail = 'https://aditnugraha98.herokuapp.com/static/lang-logo.png'
if msg.text.lower().startswith('announ create unlock '):kamui.createChatRoomAnnouncement(msg.to,0,adit)
if msg.text.lower().startswith('announ create all '):
a = kamui.getGroupIdsJoined()
for i in a:
try:
aas = kamui.talk.getRecentMessagesV2(i, 1)
adit.link = 'line://nv/chatMsg?chatId={}&messageId={}'.format(i,aas[0].id)
G = kamui.getGroup(i).pictureStatus
adit.thumbnail = "http://dl.profile.line-cdn.net/"+ G
kamui.createChatRoomAnnouncement(i,0,adit)
except:
e = traceback.format_exc()
open('w','w').write(str(e))
kamui.sendMessage(msg.to,' 「 Announcements 」\nStatus: Success Announcement')
def Anlokiss(to,pesan,msg,chatingan):
if pesan == 'announ clear':
a = client.getChatRoomAnnouncements(to)
try:
for b in a:
client.removeChatRoomAnnouncement(to,b.announcementSeq)
client.sendMessage(msg.to, 'Done')
except Exception as e:
ee = traceback.format_exc()
client.sendMessage(to, '{}'.format(e))
else:
adit = chatingan
adit.text = client.adityasplittext(pesan,'ss')
adit.link= 'line://nv/chatMsg?chatId={}&messageId={}'.format(to,msg.id)
adit.displayFields = 1
try:
adit.thumbnail = "http://dl.profile.line-cdn.net/"+ kamui.getGroup(msg.to).pictureStatus
except:
adit.thumbnail = 'https://aditnugraha98.herokuapp.com/static/lang-logo.png'
if pesan.startswith('announ create unlock '):kamui.createChatRoomAnnouncement(msg.to,0,adit)
if pesan.startswith('announ create all '):
a = client.getGroupIdsJoined()
for i in a:
try:
aas = client.getRecentMessagesV2(i, 1)
adit.link = 'line://nv/chatMsg?chatId={}&messageId={}'.format(i,aas[0].id)
G = kamui.getGroup(i).pictureStatus
adit.thumbnail = "http://dl.profile.line-cdn.net/"+ G
client.createChatRoomAnnouncement(i,0,adit)
except:
e = traceback.format_exc()
open('w','w').write(str(e))
client.sendMessage(msg.to,' 「 Announcements 」\nStatus: Success Announcement')
def profilesku(a,b,c,d,e,link,wait,to):
data = {
"messages": [
{
"type": "flex",
"altText": "Me",
"contents": {
"type": "bubble",
'styles': {
"header": {
"backgroundColor": '#42f4b9'
},
"body": {
"backgroundColor": '#42f4b9'
},
"footer": {
"backgroundColor": '#42f4b9'
},
},
"header": {
"type": "box",
"layout": "horizontal",
"contents": [
{
"type": "text",
"text": "{}".format(a),
"weight": "bold",
"color": "#262423",
"size": "sm"
}
]
},
"hero": {
"type": "image",
"url": "https://obs.line-scdn.net/{}".format(b),
"size": "full",
"aspectRatio": "1:1",
"aspectMode": "fit",
"action": {
"type": "uri",
"uri": "line://ti/p/~"+str(c)
}
},
"body": {
"type": "box",
"layout": "vertical",
"contents": [
{
"type": "text",
"text": "PROFILE",
"weight": "bold",
"size": "md",
"margin": "md"
},
{
"type": "separator",
"color": "#000000",
},
{
"type": "box",
"layout": "vertical",
"margin": "lg",
"spacing": "sm",
"contents": [
{
"type": "box",
"layout": "baseline",
"spacing": "sm",
"contents": [
{
"type": "text",
"text": "Nama",
"color": "#aaaaaa",
"size": "sm",
"flex": 1
},
{
"type": "text",
"text": "{}".format(a),
"color": "#262423",
"size": "sm",
"wrap": True,
"flex": 5
}
]
},
{
"type": "box",
"layout": "baseline",
"spacing": "sm",
"contents": [
{
"type": "text",
"text": "Mid",
"color": "#aaaaaa",
"size": "sm",
"flex": 1
},
{
"type": "text",
"text": "{}".format(d),
"color": "#262423",
"size": "sm",
"flex": 5
}
]
},
{
"type": "box",
"layout": "baseline",
"spacing": "sm",
"contents": [
{
"type": "text",
"text": "Bio",
"color": "#aaaaaa",
"size": "sm",
"flex": 1
},
{
"type": "text",
"text": "{}".format(e),
"color": "#262423",
"wrap": True,
"size": "sm",
"flex": 5
}
]
}
]
}
]
},
"footer": {
"type": "box",
"layout": "vertical",
"spacing": "sm",
"contents": [
{
"type": "button",
"style": "link",
"height": "sm",
"action": {
"type": "uri",
"label": "My Profile",
"uri": link
}
},
{
"type": "spacer",
"size": "sm",
}
],
"flex": 0
}
}
}
]
}
return data
def webtoonk(msg,wait):
data = {
"messages": [
{
"type": "flex",
"altText": "Me",
"contents": {
"type": "bubble",
"hero": {
"type": "image",
"url": "https://webtoons-static.pstatic.net/image/pc/home/og_en.jpg?dt=2016110702",
"size": "full",
"aspectRatio": "1:1",
"aspectMode": "fit",
},
"body": {
"type": "box",
"layout": "vertical",
"spacing": "md",
"contents": [
{
"type": "text",
"text": "WEBTOON",
"weight": "bold",
"size": "md",
"margin": "md"
},
{
"type": "separator",
"color": "#000000",
},
{
"type": "box",
"layout": "baseline",
"margin": "md",
"contents": [
{
"type": "text",
"text": " ",
"flex": 1,
"size": "md",
"margin": "md"
},
{
"type": "text",
"text": "| TYPE |",
"weight": "bold",
"size": "md",
"margin": "md",
"flex": 2,
}
]
},
{
"type": "box",
"layout": "baseline",
"margin": "md",
"contents": [
{
"type": "text",
"text": "1.DRAMA",
"flex": 1,
"size": "md",
"margin": "md",
"action": {
"type": "uri",
"uri": "{}webtoon%20drama".format(wait['ttt'])
}
},
{
"type": "text",
"text": "4.FANTASI",
"size": "md",
"margin": "md",
"flex": 1,
"action": {
"type": "uri",
"uri": "{}webtoon%20fantasi".format(wait['ttt'])
}
}
]
},
{
"type": "box",
"layout": "baseline",
"margin": "md",
"contents": [
{
"type": "text",
"text": "2.COMEDY",
"flex": 1,
"size": "md",
"margin": "md",
"action": {
"type": "uri",
"uri": "{}webtoon%20comedy".format(wait['ttt'])
}
},
{
"type": "text",
"text": "5.ROMANCE",
"size": "md",
"margin": "md",
"flex": 1,
"action": {
"type": "uri",
"uri": "{}webtoon%20romance".format(wait['ttt'])
}
}
]
},
{
"type": "box",
"layout": "baseline",
"margin": "md",
"contents": [
{
"type": "text",
"text": "3.THRILLER",
"flex": 1,
"size": "md",
"margin": "md",
"action": {
"type": "uri",
"uri": "{}webtoon%20thriller".format(wait['ttt'])
}
},
{
"type": "text",
"text": "6.HORROR",
"size": "md",
"margin": "md",
"flex": 1,
"action": {
"type": "uri",
"uri": "{}webtoon%20horror".format(wait['ttt'])
}
}
]
},
{
"type": "separator",
"color": "#000000",
},
{
"type": "box",
"layout": "baseline",
"margin": "md",
"contents": [
{
"type": "text",
"text": " ",
"flex": 1,
"size": "md",
"margin": "md",
},
{
"type": "text",
"text": "| COMMAND |",
"size": "md",
"margin": "md",
"flex": 3,
"weight": "bold"
}
]
},
{
"type": "separator",
"color": "#000000",
},
{
"type": "box",
"layout": "baseline",
"margin": "md",
"contents": [
{
"type": "text",
"text": "rname webtoon [type]",
"flex": 0,
"size": "md",
"margin": "md",
},
]
},
{
"type": "separator",
"color": "#000000",
},
{
"type": "box",
"layout": "baseline",
"margin": "md",
"contents": [
{
"type": "text",
"text": "IMPORTANT CLICK TYPE FOR FAST COMMAND",
"flex": 0,
"size": "md",
"margin": "md",
"weight": "bold",
"wrap": True,
},
]
},
]
},
}
}
]
}
return data
def helpers(to,wait):
ab = wait['ttt']
ret_ = []
ret_.append(
{
"type": "bubble",
"header": {
"type": "box",
"layout": "horizontal",
"contents": [
{
"type": "text",
"text": "Commands",
"weight": "bold",
"color": "#666666",
"size": "sm"
}
]
},
"body": {
"type": "box",
"layout": "vertical",
"contents": [
{
"type": "box",
"layout": "vertical",
"spacing": "sm",
"contents": [
{
"type": "box",
"layout": "baseline",
"spacing": "sm",
"contents": [
{
"type": "text",
"text": "? khie:me",
"color": "#666666",
'flex': 1,
},
{
"type": "text",
"text": "? Khie:ytsearch ",
"color": "#666666",
'flex': 1,
}
]
},
{
"type": "box",
"layout": "baseline",
"spacing": "sm",
"contents": [
{
"type": "text",
"text": "- Mention",
"color": "#666666",
'flex': 1,
},
{
"type": "text",
"text": "- Group",
"color": "#666666",
'flex': 1,
}
]
},
{
"type": "box",
"layout": "baseline",
"spacing": "sm",
"contents": [
{
"type": "text",
"text": "- Broadcast",
"color": "#666666",
'flex': 1,
},
{
"type": "text",
"text": "- Friend",
"color": "#666666",
'flex': 1,
}
]
},
{
"type": "box",
"layout": "baseline",
"spacing": "sm",
"contents": [
{
"type": "text",
"text": "- Lurk",
"color": "#666666",
'flex': 1,
},
{
"type": "text",
"text": "- Clone",
"color": "#666666",
'flex': 1,
}
]
},
{
"type": "box",
"layout": "baseline",
"spacing": "sm",
"contents": [
{
"type": "text",
"text": "- Timeline",
"color": "#666666",
'flex': 1,
},
{
"type": "text",
"text": "- Profile",
"color": "#666666",
'flex': 1,
}
]
},
]
}
]
},
}
)
ret_.append(
{
"type": "bubble",
"header": {
"type": "box",
"layout": "horizontal",
"contents": [
{
"type": "text",
"text": "Commands",
"weight": "bold",
"color": "#666666",
"size": "sm"
}
]
},
"body": {
"type": "box",
"layout": "vertical",
"contents": [
{
"type": "box",
"layout": "vertical",
"spacing": "sm",
"contents": [
{
"type": "box",
"layout": "baseline",
"spacing": "sm",
"contents": [
{
"type": "text",
"text": "- Steal",
"color": "#666666",
'flex': 1,
},
{
"type": "text",
"text": "- Autojoin",
"color": "#666666",
'flex': 1,
}
]
},
{
"type": "box",
"layout": "baseline",
"spacing": "sm",
"contents": [
{
"type": "text",
"text": "- Autoadd",
"color": "#666666",
'flex': 1,
},
{
"type": "text",
"text": "- Gcall",
"color": "#666666",
'flex': 1,
}
]
},
{
"type": "box",
"layout": "baseline",
"spacing": "sm",
"contents": [
{
"type": "text",
"text": "- Spam",
"color": "#666666",
'flex': 1,
},
{
"type": "text",
"text": "- Media",
"color": "#666666",
'flex': 1,
}
]
},
{
"type": "box",
"layout": "baseline",
"spacing": "sm",
"contents": [
{
"type": "text",
"text": "- Note",
"color": "#666666",
'flex': 1,
},
{
"type": "text",
"text": "- Settings",
"color": "#666666",
'flex': 1,
}
]
},
]
}
]
},
}
)
return ret_
| 67.941318
| 174
| 0.124197
| 2,308
| 84,519
| 4.528596
| 0.125217
| 0.050517
| 0.075775
| 0.072713
| 0.786739
| 0.759281
| 0.731152
| 0.677765
| 0.636338
| 0.608879
| 0
| 0.033161
| 0.805902
| 84,519
| 1,244
| 175
| 67.941318
| 0.603962
| 0.000118
| 0
| 0.591311
| 0
| 0.000805
| 0.091529
| 0.004639
| 0
| 0
| 0
| 0
| 0
| 1
| 0.006436
| false
| 0
| 0.003218
| 0
| 0.01609
| 0.000805
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5d793a87267b93322679c971109a739acf5f6249
| 2,397
|
py
|
Python
|
docker-images/taigav2/taiga-back/taiga/export_import/serializers/__init__.py
|
mattcongy/itshop
|
6be025a9eaa7fe7f495b5777d1f0e5a3184121c9
|
[
"MIT"
] | 1
|
2017-05-29T19:01:06.000Z
|
2017-05-29T19:01:06.000Z
|
docker-images/taigav2/taiga-back/taiga/export_import/serializers/__init__.py
|
mattcongy/itshop
|
6be025a9eaa7fe7f495b5777d1f0e5a3184121c9
|
[
"MIT"
] | null | null | null |
docker-images/taigav2/taiga-back/taiga/export_import/serializers/__init__.py
|
mattcongy/itshop
|
6be025a9eaa7fe7f495b5777d1f0e5a3184121c9
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
# Copyright (C) 2014-2016 Andrey Antukh <niwi@niwi.nz>
# Copyright (C) 2014-2016 Jesús Espino <jespinog@gmail.com>
# Copyright (C) 2014-2016 David Barragán <bameda@dbarragan.com>
# Copyright (C) 2014-2016 Alejandro Alonso <alejandro.alonso@kaleidos.net>
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
from .serializers import PointsExportSerializer
from .serializers import UserStoryStatusExportSerializer
from .serializers import TaskStatusExportSerializer
from .serializers import IssueStatusExportSerializer
from .serializers import PriorityExportSerializer
from .serializers import SeverityExportSerializer
from .serializers import IssueTypeExportSerializer
from .serializers import RoleExportSerializer
from .serializers import UserStoryCustomAttributeExportSerializer
from .serializers import TaskCustomAttributeExportSerializer
from .serializers import IssueCustomAttributeExportSerializer
from .serializers import BaseCustomAttributesValuesExportSerializer
from .serializers import UserStoryCustomAttributesValuesExportSerializer
from .serializers import TaskCustomAttributesValuesExportSerializer
from .serializers import IssueCustomAttributesValuesExportSerializer
from .serializers import MembershipExportSerializer
from .serializers import RolePointsExportSerializer
from .serializers import MilestoneExportSerializer
from .serializers import TaskExportSerializer
from .serializers import UserStoryExportSerializer
from .serializers import IssueExportSerializer
from .serializers import WikiPageExportSerializer
from .serializers import WikiLinkExportSerializer
from .serializers import TimelineExportSerializer
from .serializers import ProjectExportSerializer
from .mixins import AttachmentExportSerializer
from .mixins import HistoryExportSerializer
| 52.108696
| 74
| 0.848978
| 255
| 2,397
| 7.980392
| 0.47451
| 0.184275
| 0.257985
| 0.035381
| 0.069779
| 0.04914
| 0.033415
| 0
| 0
| 0
| 0
| 0.015895
| 0.107635
| 2,397
| 45
| 75
| 53.266667
| 0.935484
| 0.374635
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
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| 0
| 1
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| 0
| null | 0
| 1
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| 0
| 0
| 0
| 0
| 0
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| 0
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| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
5d7f32d90dd67251595958925458c18fd26136a4
| 577
|
py
|
Python
|
sample1.py
|
mk314k/Pyssemble
|
3e3fa37a6b84a400dc4d367ba1e036cf855309c4
|
[
"MIT"
] | null | null | null |
sample1.py
|
mk314k/Pyssemble
|
3e3fa37a6b84a400dc4d367ba1e036cf855309c4
|
[
"MIT"
] | null | null | null |
sample1.py
|
mk314k/Pyssemble
|
3e3fa37a6b84a400dc4d367ba1e036cf855309c4
|
[
"MIT"
] | null | null | null |
A=[0,0,0,0,0,0,0,0,0,0]
Mem=[0,0,0,0,0,0,0,0,0,0,0]
sp=208
def loadword(n):
return Mem[int((n-200)/4)]
def storeword(n, val):
n=int((n-200)/4)
Mem[n]=val
pass
def mul():
A[0] = A[0] * A[1]
for i in range(1,len(A)):
A[i]=-1
def factorial():
if (A[0]==0):
A[0] =1
return
A[1] = A[0]-1
while (A[1]!=0):
#A[1] = A[2] -1
storeword(sp,A[1])
#storeword(sp+4,A[1])
mul()
A[1]=loadword(sp)
A[1] = A[1]-1
pass
for i in range(5):
A[0]=i
factorial()
print(A[0])
| 16.970588
| 30
| 0.436742
| 121
| 577
| 2.082645
| 0.231405
| 0.15873
| 0.202381
| 0.238095
| 0.083333
| 0.083333
| 0.083333
| 0.083333
| 0.083333
| 0.083333
| 0
| 0.149746
| 0.317158
| 577
| 34
| 31
| 16.970588
| 0.489848
| 0.058925
| 0
| 0.071429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| false
| 0.071429
| 0
| 0.035714
| 0.214286
| 0.035714
| 0
| 0
| 0
| null | 0
| 1
| 1
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
5d82319c39a4faddd3e950bf598d781a346e41d0
| 92
|
py
|
Python
|
src/gam_coins/apps.py
|
darakelian/gam-bot
|
1363c5f44bcc7e622e97e3d0d455eb185417fecb
|
[
"MIT"
] | null | null | null |
src/gam_coins/apps.py
|
darakelian/gam-bot
|
1363c5f44bcc7e622e97e3d0d455eb185417fecb
|
[
"MIT"
] | 7
|
2021-10-23T23:56:19.000Z
|
2021-11-26T16:58:41.000Z
|
src/gam_coins/apps.py
|
camerongraybill/gam-bot
|
447d24ad8c7b9a32c45aa6ed11733a54e26ab47f
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class GamCoinsConfig(AppConfig):
name = "gam_coins"
| 15.333333
| 33
| 0.76087
| 11
| 92
| 6.272727
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.163043
| 92
| 5
| 34
| 18.4
| 0.896104
| 0
| 0
| 0
| 0
| 0
| 0.097826
| 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
| 1
| 0
|
0
| 4
|
5d8fe9057890c9547cf9722035f3857d08b0ec87
| 605
|
py
|
Python
|
02-FlaskWeb/app/main/errors.py
|
Deteriorator/ReadBooks
|
e997b9c876cc692206a46f139a6b1fb0ba3787ab
|
[
"Apache-2.0"
] | null | null | null |
02-FlaskWeb/app/main/errors.py
|
Deteriorator/ReadBooks
|
e997b9c876cc692206a46f139a6b1fb0ba3787ab
|
[
"Apache-2.0"
] | null | null | null |
02-FlaskWeb/app/main/errors.py
|
Deteriorator/ReadBooks
|
e997b9c876cc692206a46f139a6b1fb0ba3787ab
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
-------------------------------------------------
File Name: errors
Description :
Author : Liangz
Date: 2018/11/8
-------------------------------------------------
Change Activity:
2018/11/8:
-------------------------------------------------
"""
__author__ = 'Liangz'
from flask import render_template
from . import main
@main.app_errorhandler(404)
def page_not_found(e):
return render_template('404.html'), 404
@main.app_errorhandler(500)
def internal_server_error(e):
return render_template('500.html'), 500
| 22.407407
| 49
| 0.479339
| 58
| 605
| 4.775862
| 0.586207
| 0.151625
| 0.050542
| 0.151625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.067073
| 0.186777
| 605
| 27
| 50
| 22.407407
| 0.495935
| 0.52562
| 0
| 0
| 0
| 0
| 0.078571
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0
| 0.222222
| 0.222222
| 0.666667
| 0
| 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
| 1
| 1
| 0
|
0
| 4
|
5d9733f40cc54210b40ea480ed45c03852659ff1
| 184
|
py
|
Python
|
scratchpad/features.py
|
tomis9/cookbook
|
fd61d6062d050d3aabb7bca5c7826b9ffe34c1cd
|
[
"MIT"
] | null | null | null |
scratchpad/features.py
|
tomis9/cookbook
|
fd61d6062d050d3aabb7bca5c7826b9ffe34c1cd
|
[
"MIT"
] | 2
|
2019-12-31T13:58:48.000Z
|
2020-02-08T00:26:07.000Z
|
scratchpad/features.py
|
tomis9/cookbook
|
fd61d6062d050d3aabb7bca5c7826b9ffe34c1cd
|
[
"MIT"
] | null | null | null |
import featuretools
import pandas as pd
from sklearn.datasets import load_boston
boston_raw = load_boston()
boston = pd.DataFrame(boston_raw.data, columns=boston_raw.feature_names)
| 20.444444
| 72
| 0.826087
| 27
| 184
| 5.407407
| 0.592593
| 0.184932
| 0.219178
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.108696
| 184
| 8
| 73
| 23
| 0.890244
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.6
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
5ddbbcaa0af78e10823c5897c42de412003612c9
| 314
|
py
|
Python
|
federal_spending/usaspending/admin.py
|
rlugojr/federal_spending
|
e06f5a0018c1a0c581e8659472acb1574919dc50
|
[
"CC0-1.0"
] | 20
|
2015-01-15T18:59:50.000Z
|
2022-01-31T03:37:53.000Z
|
federal_spending/usaspending/admin.py
|
rlugojr/federal_spending
|
e06f5a0018c1a0c581e8659472acb1574919dc50
|
[
"CC0-1.0"
] | null | null | null |
federal_spending/usaspending/admin.py
|
rlugojr/federal_spending
|
e06f5a0018c1a0c581e8659472acb1574919dc50
|
[
"CC0-1.0"
] | 7
|
2015-01-16T15:47:06.000Z
|
2020-01-09T07:14:45.000Z
|
from django.contrib import admin
from federal_spending.usaspending.models import Contract
#from dcdata.grants.models import Grant
class ContractAdmin(admin.ModelAdmin):
pass
admin.site.register(Contract, ContractAdmin)
#class GrantAdmin(admin.ModelAdmin):
# pass
#admin.site.register(Grant, GrantAdmin)
| 22.428571
| 56
| 0.805732
| 38
| 314
| 6.631579
| 0.526316
| 0.095238
| 0.150794
| 0.190476
| 0.285714
| 0.285714
| 0
| 0
| 0
| 0
| 0
| 0
| 0.10828
| 314
| 14
| 57
| 22.428571
| 0.9
| 0.375796
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.2
| 0.4
| 0
| 0.6
| 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
| 1
| 1
| 1
| 0
| 0
| 0
|
0
| 4
|
5ddf1416d93fd6d3bfc33dd7a56081dd6ab1623f
| 234
|
py
|
Python
|
filter_plugins/to_toml.py
|
Aisbergg/ansible-role-dnscrypt-proxy
|
2612495c473d99b3e5010ca3e0ba96cf223ef4ce
|
[
"MIT"
] | 1
|
2020-05-20T01:27:18.000Z
|
2020-05-20T01:27:18.000Z
|
filter_plugins/to_toml.py
|
aisbergg/ansible-role-dnscrypt-proxy
|
2612495c473d99b3e5010ca3e0ba96cf223ef4ce
|
[
"MIT"
] | null | null | null |
filter_plugins/to_toml.py
|
aisbergg/ansible-role-dnscrypt-proxy
|
2612495c473d99b3e5010ca3e0ba96cf223ef4ce
|
[
"MIT"
] | null | null | null |
import toml
class FilterModule(object):
def filters(self):
return {
"to_toml": self.to_toml,
}
def to_toml(self, value):
"""Convert the value to TOML"""
return toml.dumps(value)
| 16.714286
| 39
| 0.559829
| 28
| 234
| 4.571429
| 0.5
| 0.1875
| 0.15625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.32906
| 234
| 13
| 40
| 18
| 0.815287
| 0.106838
| 0
| 0
| 0
| 0
| 0.034483
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.125
| 0.125
| 0.75
| 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
| 1
| 1
| 0
|
0
| 4
|
5deaf4041c54364acbd33794af2f47014579b883
| 263
|
py
|
Python
|
EstruturaDeDecisao/exercicio02.py
|
Nicolas-Wursthorn/exercicios-python-brasil
|
b2b564d48b519be04643636033ec0815e6d99ea1
|
[
"MIT"
] | null | null | null |
EstruturaDeDecisao/exercicio02.py
|
Nicolas-Wursthorn/exercicios-python-brasil
|
b2b564d48b519be04643636033ec0815e6d99ea1
|
[
"MIT"
] | null | null | null |
EstruturaDeDecisao/exercicio02.py
|
Nicolas-Wursthorn/exercicios-python-brasil
|
b2b564d48b519be04643636033ec0815e6d99ea1
|
[
"MIT"
] | null | null | null |
# Faça um Programa que peça um valor e mostre na tela se o valor é positivo ou negativo.
valor = float(input("Digite um valor: "))
if valor == 0:
print("Esse valor é nulo!")
elif valor > 0:
print("Esse valor é positivo!")
else:
print("Esse valor é negativo!")
| 29.222222
| 88
| 0.695817
| 46
| 263
| 3.978261
| 0.565217
| 0.131148
| 0.229508
| 0.245902
| 0.229508
| 0.229508
| 0
| 0
| 0
| 0
| 0
| 0.009346
| 0.186312
| 263
| 9
| 89
| 29.222222
| 0.845794
| 0.326996
| 0
| 0
| 0
| 0
| 0.448864
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.428571
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
b9076fca6e7ee044250c8423522c10c59ea1d8fc
| 313
|
py
|
Python
|
roiextractors/__init__.py
|
catalystneuro/segmentationextractors
|
d2e8db35ca85956a9cf4712cacecd9e6ec680e91
|
[
"BSD-3-Clause"
] | 2
|
2020-04-17T17:52:29.000Z
|
2020-06-25T20:26:46.000Z
|
roiextractors/__init__.py
|
catalystneuro/segmentationextractors
|
d2e8db35ca85956a9cf4712cacecd9e6ec680e91
|
[
"BSD-3-Clause"
] | 7
|
2020-07-21T20:29:50.000Z
|
2020-08-14T15:09:08.000Z
|
roiextractors/__init__.py
|
catalystneuro/segmentationextractors
|
d2e8db35ca85956a9cf4712cacecd9e6ec680e91
|
[
"BSD-3-Clause"
] | null | null | null |
from .example_datasets import toy_example
from .extraction_tools import show_video
from .extractorlist import *
from .imagingextractor import ImagingExtractor
from .memmapextractors import MemmapImagingExtractor
from .segmentationextractor import SegmentationExtractor
from .version import version as __version__
| 39.125
| 56
| 0.878594
| 33
| 313
| 8.090909
| 0.484848
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.095847
| 313
| 7
| 57
| 44.714286
| 0.943463
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
f8ef6ff816818abad640ca1f8955af47813e76b6
| 185
|
py
|
Python
|
code/eatfirst_osfs.py
|
tnbinh/efs
|
02a86acab33705b0dac4dd7c5b4b787e1d8b3be6
|
[
"MIT"
] | 1
|
2020-11-29T15:15:13.000Z
|
2020-11-29T15:15:13.000Z
|
code/eatfirst_osfs.py
|
tnbinh/efs
|
02a86acab33705b0dac4dd7c5b4b787e1d8b3be6
|
[
"MIT"
] | 4
|
2017-10-16T09:07:01.000Z
|
2020-09-28T05:23:10.000Z
|
src/efs/eatfirst_osfs.py
|
eatfirst/python-efs
|
b8836a375051042948ca21cbe6e8e70aae7f7c70
|
[
"MIT"
] | 1
|
2020-09-21T00:17:07.000Z
|
2020-09-21T00:17:07.000Z
|
from autorepr import autorepr
from fs.osfs import OSFS
class EatFirstOSFS(OSFS):
"""Simple wrapper to have a better repr."""
__repr__ = autorepr(['root_path', 'dir_mode:o'])
| 20.555556
| 52
| 0.708108
| 26
| 185
| 4.807692
| 0.730769
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.172973
| 185
| 8
| 53
| 23.125
| 0.816993
| 0.2
| 0
| 0
| 0
| 0
| 0.133803
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 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
| 1
| 0
|
0
| 4
|
f8f91e58f57a232a9fed9826d40a2dcc9b15c88d
| 105
|
py
|
Python
|
lang/Python/binary-digits-2.py
|
ethansaxenian/RosettaDecode
|
8ea1a42a5f792280b50193ad47545d14ee371fb7
|
[
"MIT"
] | null | null | null |
lang/Python/binary-digits-2.py
|
ethansaxenian/RosettaDecode
|
8ea1a42a5f792280b50193ad47545d14ee371fb7
|
[
"MIT"
] | null | null | null |
lang/Python/binary-digits-2.py
|
ethansaxenian/RosettaDecode
|
8ea1a42a5f792280b50193ad47545d14ee371fb7
|
[
"MIT"
] | null | null | null |
for i in range(16): print(bin(i)[2:])
0
1
10
11
100
101
110
111
1000
1001
1010
1011
1100
1101
1110
1111
| 5.526316
| 37
| 0.695238
| 25
| 105
| 2.92
| 0.96
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.638554
| 0.209524
| 105
| 18
| 38
| 5.833333
| 0.240964
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.058824
| 1
| 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 | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5d07aed4b84e65440e979e22df1e3cb4475e2c03
| 262
|
py
|
Python
|
alsi/__init__.py
|
mragungsetiaji/alsi
|
c33f0e1ca1ee148ff3c95474dd4c36166ece583a
|
[
"MIT"
] | 1
|
2021-01-18T17:31:25.000Z
|
2021-01-18T17:31:25.000Z
|
alsi/__init__.py
|
mragungsetiaji/alsi
|
c33f0e1ca1ee148ff3c95474dd4c36166ece583a
|
[
"MIT"
] | null | null | null |
alsi/__init__.py
|
mragungsetiaji/alsi
|
c33f0e1ca1ee148ff3c95474dd4c36166ece583a
|
[
"MIT"
] | null | null | null |
from .als import alternating_least_squares
from . import als
from . import approximate_als
from . import bpr
from . import nearest_neighbours
__version__ = '1.0'
__all__ = [alternating_least_squares, als, approximate_als, bpr, nearest_neighbours, __version__]
| 26.2
| 97
| 0.80916
| 34
| 262
| 5.647059
| 0.411765
| 0.208333
| 0.239583
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008734
| 0.125954
| 262
| 10
| 97
| 26.2
| 0.829694
| 0
| 0
| 0
| 0
| 0
| 0.011407
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.714286
| 0
| 0.714286
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
5d1421e0dbc9327172fc561bc920ca11d0b277df
| 7,479
|
py
|
Python
|
tests/test_0043-iterate-function.py
|
nikoladze/uproot4
|
57fafcfd73c40aea21dd19a439c76c79fd370768
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_0043-iterate-function.py
|
nikoladze/uproot4
|
57fafcfd73c40aea21dd19a439c76c79fd370768
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_0043-iterate-function.py
|
nikoladze/uproot4
|
57fafcfd73c40aea21dd19a439c76c79fd370768
|
[
"BSD-3-Clause"
] | null | null | null |
# BSD 3-Clause License; see https://github.com/scikit-hep/uproot4/blob/master/LICENSE
from __future__ import absolute_import
import numpy
import pytest
import skhep_testdata
import uproot4
def test_num_entries_for():
with uproot4.open(skhep_testdata.data_path("uproot-HZZ.root"))["events"] as events:
assert events.num_entries_for("1 kB") == 12
assert events.num_entries_for("10 kB") == 116
assert events.num_entries_for("0.1 MB") == 1157
assert events.num_entries == 2421
def test_num_entries_for_2():
with uproot4.open(skhep_testdata.data_path("uproot-Zmumu.root"))[
"events"
] as events:
assert events.num_entries_for("1 kB") == 13
assert events.num_entries_for("10 kB") == 133
assert events.num_entries_for("0.1 MB") == 1333
assert events.num_entries == 2304
def test_iterate_1():
with uproot4.open(skhep_testdata.data_path("uproot-Zmumu.root"))[
"events"
] as events:
for i, arrays in enumerate(events.iterate(step_size="0.1 MB", library="np")):
if i == 0:
assert len(arrays["px1"]) == 1333
elif i == 1:
assert len(arrays["px1"]) == 971
else:
assert False
def test_iterate_2():
with uproot4.open(skhep_testdata.data_path("uproot-Zmumu.root"))[
"events"
] as events:
for i, arrays in enumerate(events.iterate("px1", step_size=1000, library="np")):
if i == 0:
assert len(arrays["px1"]) == 1000
assert arrays["px1"][:5].tolist() == [
-41.1952876442,
35.1180497674,
35.1180497674,
34.1444372454,
22.7835819537,
]
elif i == 1:
assert len(arrays["px1"]) == 1000
assert arrays["px1"][:5].tolist() == [
26.043758785,
26.043758785,
25.9962042016,
-44.4626620943,
28.2794901505,
]
elif i == 2:
assert len(arrays["px1"]) == 304
assert arrays["px1"][:5].tolist() == [
-43.3783782352,
-43.3783782352,
-43.2444221651,
-20.2126675303,
43.7131175076,
]
else:
assert False
def test_iterate_pandas_1():
pandas = pytest.importorskip("pandas")
with uproot4.open(skhep_testdata.data_path("uproot-Zmumu.root"))[
"events"
] as events:
for i, arrays in enumerate(events.iterate("px1", step_size=1000, library="pd")):
if i == 0:
assert arrays["px1"].index.values[0] == 0
assert arrays["px1"].index.values[-1] == 999
elif i == 1:
assert arrays["px1"].index.values[0] == 1000
assert arrays["px1"].index.values[-1] == 1999
elif i == 2:
assert arrays["px1"].index.values[0] == 2000
assert arrays["px1"].index.values[-1] == 2303
else:
assert False
def test_iterate_pandas_2():
pandas = pytest.importorskip("pandas")
with uproot4.open(skhep_testdata.data_path("uproot-HZZ.root"))["events"] as events:
for i, arrays in enumerate(
events.iterate("Muon_Px", step_size=1000, library="pd")
):
if i == 0:
assert arrays.index.values[0] == (0, 0)
assert arrays.index.values[-1] == (999, 0)
elif i == 1:
assert arrays.index.values[0] == (1000, 0)
assert arrays.index.values[-1] == (1999, 1)
elif i == 2:
assert arrays.index.values[0] == (2000, 0)
assert arrays.index.values[-1] == (2420, 0)
else:
assert False
def test_iterate_report_1():
with uproot4.open(skhep_testdata.data_path("uproot-Zmumu.root"))[
"events"
] as events:
for i, (arrays, report) in enumerate(
events.iterate("px1", step_size=1000, report=True, library="np")
):
if i == 0:
assert report.tree_entry_start == 0
assert report.tree_entry_stop == 1000
assert report.file_path == skhep_testdata.data_path("uproot-Zmumu.root")
elif i == 1:
assert report.tree_entry_start == 1000
assert report.tree_entry_stop == 2000
assert report.file_path == skhep_testdata.data_path("uproot-Zmumu.root")
elif i == 2:
assert report.tree_entry_start == 2000
assert report.tree_entry_stop == 2304
assert report.file_path == skhep_testdata.data_path("uproot-Zmumu.root")
else:
assert False
def test_iterate_report_2():
with uproot4.open(skhep_testdata.data_path("uproot-HZZ.root"))["events"] as events:
for i, (arrays, report) in enumerate(
events.iterate("Muon_Px", step_size=1000, report=True, library="np")
):
if i == 0:
assert report.tree_entry_start == 0
assert report.tree_entry_stop == 1000
assert report.file_path == skhep_testdata.data_path("uproot-HZZ.root")
elif i == 1:
assert report.tree_entry_start == 1000
assert report.tree_entry_stop == 2000
assert report.file_path == skhep_testdata.data_path("uproot-HZZ.root")
elif i == 2:
assert report.tree_entry_start == 2000
assert report.tree_entry_stop == 2421
assert report.file_path == skhep_testdata.data_path("uproot-HZZ.root")
else:
assert False
def test_function_iterate():
files = skhep_testdata.data_path("uproot-sample-6.20.04-uncompressed.root").replace(
"6.20.04", "*"
)
expect = 0
for arrays, report in uproot4.iterate(
{files: "sample"}, "i8", report=True, library="np"
):
assert arrays["i8"][:5].tolist() == [-15, -14, -13, -12, -11]
assert report.global_entry_start == expect
assert report.global_entry_stop == expect + len(arrays["i8"])
expect += len(arrays["i8"])
def test_function_iterate_pandas():
pandas = pytest.importorskip("pandas")
files = skhep_testdata.data_path("uproot-sample-6.20.04-uncompressed.root").replace(
"6.20.04", "*"
)
expect = 0
for arrays, report in uproot4.iterate(
{files: "sample"}, "i8", report=True, library="pd"
):
assert arrays["i8"].values[:5].tolist() == [-15, -14, -13, -12, -11]
assert arrays.index.values[0] == expect
assert report.global_entry_start == expect
assert report.global_entry_stop == expect + len(arrays["i8"])
expect += len(arrays["i8"])
def test_function_iterate_pandas_2():
pandas = pytest.importorskip("pandas")
files = skhep_testdata.data_path("uproot-HZZ.root").replace(
"HZZ", "HZZ-{uncompressed,zlib,lz4}"
)
expect = 0
for arrays, report in uproot4.iterate(
{files: "events"}, "Muon_Px", report=True, library="pd"
):
assert arrays["Muon_Px"].index.values[0] == (expect, 0)
expect += report.tree.num_entries
| 37.024752
| 88
| 0.550876
| 881
| 7,479
| 4.523269
| 0.144154
| 0.066248
| 0.072522
| 0.089586
| 0.838143
| 0.795483
| 0.71468
| 0.655207
| 0.629862
| 0.606524
| 0
| 0.092338
| 0.319428
| 7,479
| 201
| 89
| 37.208955
| 0.69057
| 0.011098
| 0
| 0.582857
| 0
| 0
| 0.081688
| 0.014201
| 0
| 0
| 0
| 0
| 0.342857
| 1
| 0.062857
| false
| 0
| 0.051429
| 0
| 0.114286
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 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
| 4
|
5d2feeaa2fdf6db5d97330d194712de1a91f5b8b
| 179
|
py
|
Python
|
tests/test_training.py
|
anlas17/mlops_day1
|
15780c90de5d67bcb3ef83f56f4dee2de3c723b2
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_training.py
|
anlas17/mlops_day1
|
15780c90de5d67bcb3ef83f56f4dee2de3c723b2
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_training.py
|
anlas17/mlops_day1
|
15780c90de5d67bcb3ef83f56f4dee2de3c723b2
|
[
"BSD-3-Clause"
] | null | null | null |
import torch
import sys
import hydra
sys.path.append("C:/Users/zebra/.cookiecutters/mlops_day1/src/models")
from train_model import train
if __name__ == "__main__":
train()
| 17.9
| 70
| 0.759777
| 26
| 179
| 4.846154
| 0.769231
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006369
| 0.122905
| 179
| 9
| 71
| 19.888889
| 0.796178
| 0
| 0
| 0
| 0
| 0
| 0.329609
| 0.284916
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.571429
| 0
| 0.571429
| 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
| 1
| 0
| 0
| 0
|
0
| 4
|
5d5487fb14fc6e593e0b72d1eb925f783ef36c84
| 23
|
py
|
Python
|
library/dothat/__init__.py
|
axelsimon/displayotron
|
42315c47eb50d2f95d1fcade389ff57ad73e1b83
|
[
"MIT"
] | 49
|
2017-06-07T05:09:23.000Z
|
2021-10-08T14:32:05.000Z
|
library/dothat/__init__.py
|
axelsimon/displayotron
|
42315c47eb50d2f95d1fcade389ff57ad73e1b83
|
[
"MIT"
] | 19
|
2017-08-07T21:17:00.000Z
|
2022-01-07T09:02:42.000Z
|
library/dothat/__init__.py
|
axelsimon/displayotron
|
42315c47eb50d2f95d1fcade389ff57ad73e1b83
|
[
"MIT"
] | 22
|
2017-06-07T05:09:25.000Z
|
2021-08-17T10:52:58.000Z
|
__version__ = '2.0.2'
| 7.666667
| 21
| 0.608696
| 4
| 23
| 2.5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.157895
| 0.173913
| 23
| 2
| 22
| 11.5
| 0.368421
| 0
| 0
| 0
| 0
| 0
| 0.227273
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5d65a001b8580b59dc27f53c1908e3c567841933
| 173
|
py
|
Python
|
timeclock/webapp/config.py
|
mikejarrett/company-time-clock
|
17a652719ef25a9b058551b1f4d3f05cddadc04a
|
[
"MIT"
] | null | null | null |
timeclock/webapp/config.py
|
mikejarrett/company-time-clock
|
17a652719ef25a9b058551b1f4d3f05cddadc04a
|
[
"MIT"
] | null | null | null |
timeclock/webapp/config.py
|
mikejarrett/company-time-clock
|
17a652719ef25a9b058551b1f4d3f05cddadc04a
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from datetime import datetime
from logic.utils import hash_password
WTF_CSRF_ENABLED = True
SECRET_KEY = hash_password(datetime.now().isoformat())
| 21.625
| 54
| 0.763006
| 24
| 173
| 5.291667
| 0.75
| 0.188976
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006579
| 0.121387
| 173
| 7
| 55
| 24.714286
| 0.828947
| 0.121387
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.5
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 1
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
|
0
| 4
|
538ac9810b099db2d347e2e272634df57f094ab4
| 80
|
py
|
Python
|
Chapter04/open_web.py
|
add54/ADMIN_SYS_PYTHON
|
5a6d9705537c8663c8f7b0f45d29ccc87b6096e7
|
[
"MIT"
] | 116
|
2018-12-21T01:05:47.000Z
|
2022-03-23T21:41:41.000Z
|
Chapter04/open_web.py
|
add54/ADMIN_SYS_PYTHON
|
5a6d9705537c8663c8f7b0f45d29ccc87b6096e7
|
[
"MIT"
] | 2
|
2021-03-31T19:36:19.000Z
|
2021-06-10T22:29:26.000Z
|
Chapter04/open_web.py
|
add54/ADMIN_SYS_PYTHON
|
5a6d9705537c8663c8f7b0f45d29ccc87b6096e7
|
[
"MIT"
] | 147
|
2018-12-19T14:10:32.000Z
|
2022-03-20T11:03:20.000Z
|
import webbrowser
webbrowser.open('https://timesofindia.indiatimes.com/world')
| 20
| 60
| 0.8125
| 9
| 80
| 7.222222
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.05
| 80
| 3
| 61
| 26.666667
| 0.855263
| 0
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| 0
| 0.518987
| 0
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| null | 0
| 0
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| 0
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| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
53a374a1b82942608f2e9e7f061c8d65bde80ec7
| 204
|
py
|
Python
|
main/CompuCellPythonTutorial/info_printer/Simulation/cellsort_2D_info_printer.py
|
JulianoGianlupi/nh-cc3d-4x-base-tool
|
c0f4aceebd4c5bf3ec39e831ef851e419b161259
|
[
"CC0-1.0"
] | null | null | null |
main/CompuCellPythonTutorial/info_printer/Simulation/cellsort_2D_info_printer.py
|
JulianoGianlupi/nh-cc3d-4x-base-tool
|
c0f4aceebd4c5bf3ec39e831ef851e419b161259
|
[
"CC0-1.0"
] | null | null | null |
main/CompuCellPythonTutorial/info_printer/Simulation/cellsort_2D_info_printer.py
|
JulianoGianlupi/nh-cc3d-4x-base-tool
|
c0f4aceebd4c5bf3ec39e831ef851e419b161259
|
[
"CC0-1.0"
] | 1
|
2021-02-26T21:50:29.000Z
|
2021-02-26T21:50:29.000Z
|
from cc3d import CompuCellSetup
from .cellsort_2D_steppables_info_printer import InfoPrinterSteppable
CompuCellSetup.register_steppable(steppable=InfoPrinterSteppable(frequency=1))
CompuCellSetup.run()
| 29.142857
| 78
| 0.887255
| 21
| 204
| 8.380952
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.015625
| 0.058824
| 204
| 6
| 79
| 34
| 0.901042
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0.25
| 1
| 0
| 0
| null | 0
| 0
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| 0
| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
53b531fc40417efd593b300a0a602f5da4527989
| 90
|
py
|
Python
|
_ipn/__init__.py
|
Memberships-Affiliate-Management-API/membership_and_affiliate_api
|
038cb2d4dfa4a47fb8e31dc9d00cd36dd28867d5
|
[
"MIT"
] | 1
|
2021-08-31T15:24:48.000Z
|
2021-08-31T15:24:48.000Z
|
_ipn/__init__.py
|
freelancing-solutions/membership_and_affiliate_api
|
038cb2d4dfa4a47fb8e31dc9d00cd36dd28867d5
|
[
"MIT"
] | 1
|
2021-10-13T14:11:15.000Z
|
2021-10-13T14:11:15.000Z
|
_ipn/__init__.py
|
Memberships-Affiliate-Management-API/membership_and_affiliate_api
|
038cb2d4dfa4a47fb8e31dc9d00cd36dd28867d5
|
[
"MIT"
] | 1
|
2021-08-31T15:25:28.000Z
|
2021-08-31T15:25:28.000Z
|
"""
enables external api's to send data to this app through well defined endpoints
"""
| 30
| 82
| 0.722222
| 14
| 90
| 4.642857
| 0.928571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 90
| 3
| 83
| 30
| 0.902778
| 0.866667
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
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| null | 0
| 0
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| 1
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| 0
| 0
| 0
|
0
| 4
|
53b918ada18b441895cfe1a93974b4fddda1b353
| 824
|
py
|
Python
|
boxuegu/boxuegu/apps/organization/views.py
|
1111111111122222222223333333333/Django_boxuegu
|
cec4451bcc55f04013efd4e4cb7c4098a0fd5056
|
[
"MIT"
] | null | null | null |
boxuegu/boxuegu/apps/organization/views.py
|
1111111111122222222223333333333/Django_boxuegu
|
cec4451bcc55f04013efd4e4cb7c4098a0fd5056
|
[
"MIT"
] | 6
|
2021-02-08T20:30:13.000Z
|
2022-03-11T23:50:00.000Z
|
boxuegu/boxuegu/apps/organization/views.py
|
1111111111122222222223333333333/Django_boxuegu
|
cec4451bcc55f04013efd4e4cb7c4098a0fd5056
|
[
"MIT"
] | null | null | null |
from django.shortcuts import render
from django.views import View
class OrgList(View):
def get(self, request):
return render(request, 'org-list.html')
# 获取教师列表
class TeacherList(View):
def get(self, request):
return render(request, 'teachers-list.html')
class TeacherDetail(View):
def get(self, request):
return render(request, 'teacher-detail.html')
class AddAsk(View):
def get(self, request):
return render(request, 'org-detail-desc.html')
class OrgHome(View):
def get(self, request):
return render(request, 'org-detail-homepage.html')
class OrgDesc(View):
def get(self, request):
return render(request, 'org-detail-desc.html')
class OrgCourse(View):
def get(self, request):
return render(request, 'org-detail-course.html')
| 21.128205
| 58
| 0.673544
| 106
| 824
| 5.235849
| 0.283019
| 0.088288
| 0.126126
| 0.176577
| 0.621622
| 0.621622
| 0.621622
| 0.621622
| 0.477477
| 0.4
| 0
| 0
| 0.199029
| 824
| 38
| 59
| 21.684211
| 0.840909
| 0.007282
| 0
| 0.391304
| 0
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| 0.166667
| 0.056373
| 0
| 0
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| 0
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| 0.304348
| false
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| 0.304348
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| null | 0
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| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
53ede06ef30cf477a4f1f227c14da425a5ef2754
| 126
|
py
|
Python
|
__init__.py
|
LaggAt/actions
|
6f52dbbce09e445d77d7f5b01830ef3c0adeb6e0
|
[
"MIT"
] | null | null | null |
__init__.py
|
LaggAt/actions
|
6f52dbbce09e445d77d7f5b01830ef3c0adeb6e0
|
[
"MIT"
] | null | null | null |
__init__.py
|
LaggAt/actions
|
6f52dbbce09e445d77d7f5b01830ef3c0adeb6e0
|
[
"MIT"
] | null | null | null |
# Copyright (c) 2021 Florian Lagg
#
# This software is released under the MIT License.
# https://opensource.org/licenses/MIT
| 25.2
| 50
| 0.746032
| 18
| 126
| 5.222222
| 0.944444
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.037383
| 0.150794
| 126
| 4
| 51
| 31.5
| 0.841122
| 0.928571
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
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| null | 0
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| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
99027d89a771fe9ff6f0ef4fcc368aaf71b21ddf
| 83
|
py
|
Python
|
MachineLearningToolkitCore/Layer/__init__.py
|
showintime/MachineLearningToolkit
|
cb265f8b0d3ca5aa16ad92cdbe74e138b5f56023
|
[
"Apache-2.0"
] | null | null | null |
MachineLearningToolkitCore/Layer/__init__.py
|
showintime/MachineLearningToolkit
|
cb265f8b0d3ca5aa16ad92cdbe74e138b5f56023
|
[
"Apache-2.0"
] | null | null | null |
MachineLearningToolkitCore/Layer/__init__.py
|
showintime/MachineLearningToolkit
|
cb265f8b0d3ca5aa16ad92cdbe74e138b5f56023
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
Created on Mon Dec 2 22:43:10 2019
@author: ZWH
"""
| 10.375
| 35
| 0.542169
| 14
| 83
| 3.214286
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1875
| 0.228916
| 83
| 7
| 36
| 11.857143
| 0.515625
| 0.86747
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
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| 0
| 0
| 0
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| null | 0
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| 0
| 0
| 0
| 0
|
0
| 4
|
54e262d657a07ce0ad2b1a920f529308ae998a25
| 3,599
|
py
|
Python
|
DailyProgrammer/DP20141211C.py
|
DayGitH/Python-Challenges
|
bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf
|
[
"MIT"
] | 2
|
2020-12-23T18:59:22.000Z
|
2021-04-14T13:16:09.000Z
|
DailyProgrammer/DP20141211C.py
|
DayGitH/Python-Challenges
|
bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf
|
[
"MIT"
] | null | null | null |
DailyProgrammer/DP20141211C.py
|
DayGitH/Python-Challenges
|
bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf
|
[
"MIT"
] | null | null | null |
"""
[2014-12-5] Challenge #191 [Hard] Tricky Stick Stacking
https://www.reddit.com/r/dailyprogrammer/comments/2oe0px/2014125_challenge_191_hard_tricky_stick_stacking/
# [](#HardIcon) **(Hard)**: Tricky Stick Stacking
Similar to the previous [hard challenge with the arrows](/r/dailyprogrammer/comments/2m82yz/), this challenge will
similarly require a hard degree of thought to solve (providing, of course, you develop the algorithm yourself,) while
being relatively easy to understand.
Imagine you have a 2D plane, into which you can place sticks, [like so](http://i.imgur.com/mkt7n2D.png). All of the
sticks are perfectly straight, and placed into this plane from the top (positive Y) down. The sticks will never overlap
or cross over one another. Your task today is to simply determine in which order the sticks must be pulled out of the
plane without hitting any other sticks.
There are a few rules for this:
* A stick is [pulled out of the plane *directly upward (ie. along the positive Y
axis)*](http://i.imgur.com/8eFNtwh.png), [like so](http://i.imgur.com/MpquP7S.png). This means that you can't pull a
stick out [sideward or at an angle](http://i.imgur.com/zGQL5xV.png) (for example, to avoid another stick.)
* A stick cannot be pulled out if there's [another stick directly above it](http://i.imgur.com/RWtPm05.png).
In some possible possible scenarios, there is only one possible order to pull the sticks out of the plane. [This
scenario](http://i.imgur.com/16WBjSf.png) only has one possible order: 1, 2, 4, 3. [This
scenario](http://i.imgur.com/gSkKVIg.png) however has two possible orders, as the last two remaining sticks are not
interfering with one another's removal, so you can remove them in any order.
# Formal Inputs and Outputs
## Input Description
Each stick is described by a number and the co-ordinates of its 2 ends, like so:
n:x1,y1,x2,y2
Where the stick number **n** is between the points (x1, y1) and (x2, y2). You will first input a number **S** which is
the number of sticks in the scenario. You will then take a further **S** lines of input in the above format. **n** must
be an integer but the co-ordinates can be any real number.
## Output Description
You are to output one possible order of removal of the sticks (where each stick is identified by its number **n**.
There may be more than one.
# Sample Inputs and Outputs
## Sample Input
[(Represents this scenario)](http://i.imgur.com/nDpDJag.png)
4
1:0,3,4,5
2:2,3,8,1
3:4,0,5,1
4:1,3,4.2,1
## Sample Output
1, 2, 4, 3
## Sample Input
[(Represents this scenario)](http://i.imgur.com/gSkKVIg.png)
5
1:3,3,8,1
2:11,2,15,2
3:6,3,12,4
4:10,5,10,10
5:9,11,18,12
## Sample Output
This scenario has 2 possible outputs:
5, 4, 3, 1, 2
or:
5, 4, 3, 2, 1
## Sample Input
[(Represents this scenario)](http://i.imgur.com/l8X9Tgg.png)
6
1:1,6,12,6
2:1,7,1,15
3:11,1,13,10
4:14,10,15,6
5:15,2,15,5
6:12,1,14,11
## Sample Output
2, 1, 3, 6, 4, 5
## Sample Input
5
1:2,2,2,8
2:1,1,11,2
3:10,1,15,3
4:5,5,13,8
5:6,4,9,3
## Sample Output
(all 3 are valid)
1, 4, 5, 2, 3
4, 1, 5, 2, 3
4, 5, 1, 2, 3
## Sample Input
6
1:6,2,14,7
2:12,10,15,9
3:12,3,12,6
4:3,1,17,2
5:4,3,11,2
6:3,10,12,12
## Sample Output
(both are valid)
6, 2, 1, 3, 5, 4
6, 2, 1, 5, 3, 4
## Sample Input
5
1:2,1,15,15
2:15,5,15,12
3:10,8,13,2
4:13,4,15,4
5:8,9,12,13
## Sample Output
5, 1, 2, 4, 3
"""
def main():
pass
if __name__ == "__main__":
main()
| 32.718182
| 119
| 0.672409
| 700
| 3,599
| 3.437143
| 0.291429
| 0.020781
| 0.041563
| 0.054032
| 0.15877
| 0.131338
| 0.07606
| 0.07606
| 0.057357
| 0
| 0
| 0.109028
| 0.199778
| 3,599
| 109
| 120
| 33.018349
| 0.726389
| 0.979994
| 0
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| 0
| 0
| 0.125
| 0
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| 0
| 0
| 1
| 0.25
| true
| 0.25
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| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
07016e0f66f80580d26a2c77091faf3434b49180
| 770
|
py
|
Python
|
packages/mccomponents/python/mccomponents/sample/SQE_fromexpression.py
|
mcvine/mcvine
|
42232534b0c6af729628009bed165cd7d833789d
|
[
"BSD-3-Clause"
] | 5
|
2017-01-16T03:59:47.000Z
|
2020-06-23T02:54:19.000Z
|
packages/mccomponents/python/mccomponents/sample/SQE_fromexpression.py
|
mcvine/mcvine
|
42232534b0c6af729628009bed165cd7d833789d
|
[
"BSD-3-Clause"
] | 293
|
2015-10-29T17:45:52.000Z
|
2022-01-07T16:31:09.000Z
|
packages/mccomponents/python/mccomponents/sample/SQE_fromexpression.py
|
mcvine/mcvine
|
42232534b0c6af729628009bed165cd7d833789d
|
[
"BSD-3-Clause"
] | 1
|
2019-05-25T00:53:31.000Z
|
2019-05-25T00:53:31.000Z
|
#!/usr/bin/env python
#
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#
# Jiao Lin
# California Institute of Technology
# (C) 2007 All Rights Reserved
#
# {LicenseText}
#
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#
from .AbstractSQE import AbstractSQE as base
class SQE_fromexpression(base):
def __init__(self, expression):
'''expression: an analystic expression of S(Q,E) function'''
self.expression = expression
return
def identify(self, visitor): return visitor.onSQE_fromexpression( self )
pass # end of SQE_fromexpression
# version
__id__ = "$Id$"
# End of file
| 24.0625
| 80
| 0.467532
| 63
| 770
| 5.539683
| 0.68254
| 0.097421
| 0.137536
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007005
| 0.258442
| 770
| 31
| 81
| 24.83871
| 0.604203
| 0.577922
| 0
| 0
| 0
| 0
| 0.013158
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0.125
| 0.125
| 0.125
| 0.625
| 0
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| 0
| null | 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 4
|
0723b032b2c424d68f5a541f571c0554f9bed464
| 3,884
|
py
|
Python
|
allauth/socialaccount/providers/twitter/tests.py
|
JoshLabs/django-allauth
|
d8befb8c97fdba4e1aad4b4d75945899d92effba
|
[
"MIT"
] | 3
|
2015-02-13T15:06:40.000Z
|
2016-05-23T23:23:11.000Z
|
allauth/socialaccount/providers/twitter/tests.py
|
JoshLabs/django-allauth
|
d8befb8c97fdba4e1aad4b4d75945899d92effba
|
[
"MIT"
] | 9
|
2020-06-05T17:18:43.000Z
|
2022-03-11T23:15:04.000Z
|
allauth/socialaccount/providers/twitter/tests.py
|
JoshLabs/django-allauth
|
d8befb8c97fdba4e1aad4b4d75945899d92effba
|
[
"MIT"
] | 3
|
2015-08-13T22:28:36.000Z
|
2016-07-04T18:46:46.000Z
|
# -*- coding: utf-8 -*-
from allauth.socialaccount.tests import create_oauth_tests
from allauth.tests import MockedResponse
from allauth.socialaccount.providers import registry
from .provider import TwitterProvider
class TwitterTests(create_oauth_tests(registry.by_id(TwitterProvider.id))):
def get_mocked_response(self):
# FIXME: Replace with actual/complete Twitter response
return [MockedResponse(200, r"""
{"follow_request_sent": false,
"profile_use_background_image": true,
"id": 45671919, "verified": false, "profile_text_color": "333333",
"profile_image_url_https":
"https://pbs.twimg.com/profile_images/793142149/r_normal.png",
"profile_sidebar_fill_color": "DDEEF6",
"is_translator": false, "geo_enabled": false, "entities":
{"description": {"urls": []}}, "followers_count": 43, "protected": false,
"location": "The Netherlands", "default_profile_image": false,
"id_str": "45671919", "status": {"contributors": null, "truncated":
false, "text": "RT @denibertovic: Okay I'm definitely using django-allauth from now on. So easy to set up, far less time consuming, and it just works. #dja\u2026", "in_reply_to_status_id": null, "id": 400658301702381568, "favorite_count": 0, "source": "<a href=\"http://twitter.com\" rel=\"nofollow\">Twitter Web Client</a>", "retweeted": true, "coordinates": null, "entities": {"symbols": [], "user_mentions": [{"indices": [3, 16], "screen_name": "denibertovic", "id": 23508244, "name": "Deni Bertovic", "id_str": "23508244"}], "hashtags": [{"indices": [135, 139], "text": "dja"}], "urls": []}, "in_reply_to_screen_name": null, "id_str": "400658301702381568", "retweet_count": 6, "in_reply_to_user_id": null, "favorited": false, "retweeted_status": {"lang": "en", "favorited": false, "in_reply_to_user_id": null, "contributors": null, "truncated": false, "text": "Okay I'm definitely using django-allauth from now on. So easy to set up, far less time consuming, and it just works. #django", "created_at": "Sun Jul 28 19:56:26 +0000 2013", "retweeted": true, "in_reply_to_status_id": null, "coordinates": null, "id": 361575897674956800, "entities": {"symbols": [], "user_mentions": [], "hashtags": [{"indices": [117, 124], "text": "django"}], "urls": []}, "in_reply_to_status_id_str": null, "in_reply_to_screen_name": null, "source": "web", "place": null, "retweet_count": 6, "geo": null, "in_reply_to_user_id_str": null, "favorite_count": 8, "id_str": "361575897674956800"}, "geo": null, "in_reply_to_user_id_str": null, "lang": "en", "created_at": "Wed Nov 13 16:15:57 +0000 2013", "in_reply_to_status_id_str": null, "place": null}, "utc_offset": 3600, "statuses_count": 39, "description": "", "friends_count": 83, "profile_link_color": "0084B4", "profile_image_url": "http://pbs.twimg.com/profile_images/793142149/r_normal.png", "notifications": false, "profile_background_image_url_https": "https://abs.twimg.com/images/themes/theme1/bg.png", "profile_background_color": "C0DEED", "profile_background_image_url": "http://abs.twimg.com/images/themes/theme1/bg.png", "name": "Raymond Penners", "lang": "nl", "profile_background_tile": false, "favourites_count": 0, "screen_name": "pennersr", "url": null, "created_at": "Mon Jun 08 21:10:45 +0000 2009", "contributors_enabled": false, "time_zone": "Amsterdam", "profile_sidebar_border_color": "C0DEED", "default_profile": true, "following": false, "listed_count": 1} """)] # noqa
def test_login(self):
account = super(TwitterTests, self).test_login()
tw_account = account.get_provider_account()
self.assertEqual(tw_account.get_screen_name(),
'pennersr')
self.assertEqual(tw_account.get_avatar_url(),
'http://pbs.twimg.com/profile_images/793142149/r.png')
self.assertEqual(tw_account.get_profile_url(),
'http://twitter.com/pennersr')
| 114.235294
| 2,433
| 0.701081
| 514
| 3,884
| 5.044747
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| 0.026996
| 0.034709
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| 0.236791
| 0.188199
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| 0.122554
| 3,884
| 33
| 2,434
| 117.69697
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| 0.802684
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| 1
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| false
| 0
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| 0.037037
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| 0
| 0
|
0
| 4
|
0729d836d35e2c1066423fb709639d5a39068894
| 3,329
|
py
|
Python
|
processing/newFeatures/faculty_feature_selection.py
|
Bermuhz/DataMiningCompetitionFirstPrize
|
e0202ceeb99fc6cb869906fd8e7cc79a173a315e
|
[
"MIT"
] | 128
|
2017-03-20T12:42:38.000Z
|
2022-03-12T07:06:55.000Z
|
processing/newFeatures/faculty_feature_selection.py
|
Bermuhz/DataMiningCompetitionFirstPrize
|
e0202ceeb99fc6cb869906fd8e7cc79a173a315e
|
[
"MIT"
] | 4
|
2017-03-18T04:37:36.000Z
|
2017-07-09T14:11:18.000Z
|
processing/newFeatures/faculty_feature_selection.py
|
Bermuhz/DataMiningCompetitionFirstPrize
|
e0202ceeb99fc6cb869906fd8e7cc79a173a315e
|
[
"MIT"
] | 77
|
2017-03-19T06:49:39.000Z
|
2022-03-12T07:06:56.000Z
|
root_loc = "../original_data/raw_data/train/"
score_file = "score_train.txt"
subsidy_file = "subsidy_train.txt"
subsidy_dict = {}
faculty_dict = {}
lines = open(root_loc + subsidy_file).readlines()
for line in lines:
temps = line.strip("\n").split(",")
id = int(temps[0])
subsidy = int(temps[1])
subsidy_dict[id] = subsidy
lines = open(root_loc + score_file).readlines()
for line in lines:
temps = line.strip("\n").split(",")
id = int(temps[0])
faculty = temps[1]
subsidy = subsidy_dict[id]
if not faculty_dict.has_key(faculty):
faculty_dict[faculty] = {}
if not faculty_dict[faculty].has_key(subsidy):
faculty_dict[faculty][subsidy] = 0
faculty_dict[faculty][subsidy] += 1
for key, value in faculty_dict.items():
totol_num = 0
for i in [0, 1000, 1500, 2000]:
totol_num += value.get(i, 0)
value["0_percent"] = float(value.get(0, 0)) / totol_num
value["1000_percent"] = float(value.get(1000, 0)) / totol_num
value["1500_percent"] = float(value.get(1500, 0)) / totol_num
value["2000_percent"] = float(value.get(2000, 0)) / totol_num
value["totol_num"] = totol_num
print faculty_dict
w = open("../original_data/faculty_feature_train.txt", 'w')
lines = open(root_loc + score_file).readlines()
for line in lines:
output_line = "{"
temps = line.strip("\n").split(",")
id = int(temps[0])
faculty = temps[1]
output_line += '"stuId": ' + str(id) + ", "
output_line += '"0_num":' + str(faculty_dict[faculty][0]) + ","
output_line += '"1000_num":' + str(faculty_dict[faculty][1000]) + ","
output_line += '"1500_num":' + str(faculty_dict[faculty].get(1500, 0)) + ","
output_line += '"2000_num":' + str(faculty_dict[faculty][2000]) + ","
output_line += '"0_percent":' + str(faculty_dict[faculty]["0_percent"]) + ","
output_line += '"1000_percent":' + str(faculty_dict[faculty]["1000_percent"]) + ","
output_line += '"1500_percent":' + str(faculty_dict[faculty]["1500_percent"]) + ","
output_line += '"2000_percent":' + str(faculty_dict[faculty]["2000_percent"]) + ","
output_line += '"totol_num_faculty":' + str(faculty_dict[faculty]["totol_num"]) + "}"
w.write(output_line+"\n")
w.close()
w = open("../original_data/faculty_feature_test.txt", 'w')
lines = open("../original_data/raw_data/test/score_final_test.txt").readlines()
for line in lines:
output_line = "{"
temps = line.strip("\n").split(",")
id = int(temps[0])
faculty = temps[1]
output_line += '"stuId": ' + str(id) + ", "
output_line += '"0_num":' + str(faculty_dict[faculty][0]) + ","
output_line += '"1000_num":' + str(faculty_dict[faculty][1000]) + ","
output_line += '"1500_num":' + str(faculty_dict[faculty].get(1500, 0)) + ","
output_line += '"2000_num":' + str(faculty_dict[faculty][2000]) + ","
output_line += '"0_percent":' + str(faculty_dict[faculty]["0_percent"]) + ","
output_line += '"1000_percent":' + str(faculty_dict[faculty]["1000_percent"]) + ","
output_line += '"1500_percent":' + str(faculty_dict[faculty]["1500_percent"]) + ","
output_line += '"2000_percent":' + str(faculty_dict[faculty]["2000_percent"]) + ","
output_line += '"totol_num_faculty":' + str(faculty_dict[faculty]["totol_num"]) + "}"
w.write(output_line+"\n")
w.close()
| 41.6125
| 89
| 0.632022
| 450
| 3,329
| 4.408889
| 0.113333
| 0.144153
| 0.199597
| 0.190524
| 0.669859
| 0.669859
| 0.638609
| 0.638609
| 0.638609
| 0.638609
| 0
| 0.057789
| 0.163112
| 3,329
| 79
| 90
| 42.139241
| 0.654343
| 0
| 0
| 0.614286
| 0
| 0
| 0.197115
| 0.04988
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.014286
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 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
| 4
|
0732f615dc2c977e2bba991352929d93df00513f
| 440
|
py
|
Python
|
tsbooster/features/stats.py
|
cbojer/tsbooster
|
a6de2b285128b56162264eb15749550374e231d7
|
[
"MIT"
] | null | null | null |
tsbooster/features/stats.py
|
cbojer/tsbooster
|
a6de2b285128b56162264eb15749550374e231d7
|
[
"MIT"
] | null | null | null |
tsbooster/features/stats.py
|
cbojer/tsbooster
|
a6de2b285128b56162264eb15749550374e231d7
|
[
"MIT"
] | null | null | null |
# %%
from typing import List
import pandas as pd
from tsbooster.tsibble import Tsibble
# %%
def grouped_mean(data: pd.DataFrame, keys: List[str], target_col: str):
return data.groupby(keys)[target_col].mean().to_frame(name=f"Avg_{target_col}")
def add_grouped_mean(data: pd.DataFrame, keys: List[str], target_col: str):
gp_mean = grouped_mean(data, keys, target_col)
data = data.copy()
return data.merge(gp_mean, on=keys)
| 31.428571
| 83
| 0.727273
| 70
| 440
| 4.385714
| 0.428571
| 0.14658
| 0.14658
| 0.110749
| 0.319218
| 0.319218
| 0.319218
| 0.319218
| 0.319218
| 0.319218
| 0
| 0
| 0.138636
| 440
| 14
| 84
| 31.428571
| 0.810026
| 0.011364
| 0
| 0
| 0
| 0
| 0.036952
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0
| 0.333333
| 0.111111
| 0.777778
| 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
| 1
| 1
| 0
|
0
| 4
|
073dbb693794d83f257beb561812cb7b404bcbb4
| 212
|
py
|
Python
|
betterhandler.py
|
al3x/downforeveryoneorjustme
|
e1c47f78330b05753027b5d0f46b3d4f49261347
|
[
"Apache-2.0"
] | 26
|
2015-01-13T23:41:29.000Z
|
2020-04-09T01:24:44.000Z
|
betterhandler.py
|
ananthrk/downforeveryoneorjustme
|
e1c47f78330b05753027b5d0f46b3d4f49261347
|
[
"Apache-2.0"
] | 2
|
2015-04-15T16:51:52.000Z
|
2017-09-04T10:00:49.000Z
|
betterhandler.py
|
ananthrk/downforeveryoneorjustme
|
e1c47f78330b05753027b5d0f46b3d4f49261347
|
[
"Apache-2.0"
] | 5
|
2015-05-25T11:34:01.000Z
|
2021-07-13T19:19:29.000Z
|
import os
from google.appengine.ext import webapp
class BetterHandler(webapp.RequestHandler):
def template_path(self, filename):
return os.path.join(os.path.dirname(__file__), 'templates', filename)
| 30.285714
| 77
| 0.764151
| 27
| 212
| 5.814815
| 0.740741
| 0.076433
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.132075
| 212
| 6
| 78
| 35.333333
| 0.853261
| 0
| 0
| 0
| 0
| 0
| 0.042453
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.4
| 0.2
| 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
| 1
| 0
| 0
|
0
| 4
|
073e7ec3cdd8a181ce1dae0ad352a0d6dc3fb1b8
| 596
|
py
|
Python
|
tsheets/repos/current_totals.py
|
eturpin/api_python
|
fac15d06ef2510972ed3c812bb16a675d4e30e3c
|
[
"MIT"
] | 6
|
2018-12-16T19:53:57.000Z
|
2020-11-22T12:36:57.000Z
|
tsheets/repos/current_totals.py
|
eturpin/api_python
|
fac15d06ef2510972ed3c812bb16a675d4e30e3c
|
[
"MIT"
] | 6
|
2019-02-01T13:51:59.000Z
|
2020-11-23T22:42:57.000Z
|
tsheets/repos/current_totals.py
|
eturpin/api_python
|
fac15d06ef2510972ed3c812bb16a675d4e30e3c
|
[
"MIT"
] | 8
|
2018-12-16T19:53:48.000Z
|
2021-11-24T17:08:04.000Z
|
from tsheets.repository import Repository
from datetime import date, datetime
import tsheets.models as models
class CurrentTotals(Repository):
pass
CurrentTotals.add_me_to_subcls()
CurrentTotals.add_url("/reports/current_totals")
CurrentTotals.add_model(models.CurrentTotals)
CurrentTotals.add_actions(['report'])
CurrentTotals.filter("user_ids", [int])
CurrentTotals.filter("group_ids", [int])
CurrentTotals.filter("on_the_clock", str)
CurrentTotals.filter("page", int)
CurrentTotals.filter("per_page", int)
CurrentTotals.filter("order_by", str)
CurrentTotals.filter("order_desc", bool)
| 28.380952
| 48
| 0.807047
| 74
| 596
| 6.310811
| 0.5
| 0.284797
| 0.188437
| 0.107066
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.07047
| 596
| 20
| 49
| 29.8
| 0.84296
| 0
| 0
| 0
| 0
| 0
| 0.147651
| 0.038591
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.0625
| 0.1875
| 0
| 0.25
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
4ace31d3e6e828ac9775c267220348f2c24ce28b
| 330
|
py
|
Python
|
tk.py
|
Inndy/python-rsa
|
1779b35ee0abe80b44be77fe2e26c7fc26765c1c
|
[
"MIT"
] | 5
|
2018-12-01T10:30:01.000Z
|
2020-10-26T07:13:40.000Z
|
tk.py
|
GoopyAspirin/python-rsa
|
1779b35ee0abe80b44be77fe2e26c7fc26765c1c
|
[
"MIT"
] | null | null | null |
tk.py
|
GoopyAspirin/python-rsa
|
1779b35ee0abe80b44be77fe2e26c7fc26765c1c
|
[
"MIT"
] | 8
|
2017-11-20T04:53:01.000Z
|
2021-01-24T04:19:14.000Z
|
from utils import *
if pyversion == 2:
import Tkinter as tkinter
import tkMessageBox as messagebox
import tkFileDialog as filedialog
elif pyversion == 3:
import tkinter
import tkinter.messagebox as messagebox
import tkinter.filedialog as filedialog
else:
raise Exception('Unsupported python version')
| 25.384615
| 49
| 0.751515
| 39
| 330
| 6.358974
| 0.512821
| 0.209677
| 0.145161
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007634
| 0.206061
| 330
| 12
| 50
| 27.5
| 0.938931
| 0
| 0
| 0
| 0
| 0
| 0.078788
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.636364
| 0
| 0.636364
| 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
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
4ae06fcfc5d5bc041c0e3d8fa11fa5f0b6fc7a26
| 20
|
py
|
Python
|
smt/__init__.py
|
haojia632/smt
|
612f7e18ad2b801265c16a8d5f64b6fdb4444a31
|
[
"BSD-3-Clause"
] | null | null | null |
smt/__init__.py
|
haojia632/smt
|
612f7e18ad2b801265c16a8d5f64b6fdb4444a31
|
[
"BSD-3-Clause"
] | null | null | null |
smt/__init__.py
|
haojia632/smt
|
612f7e18ad2b801265c16a8d5f64b6fdb4444a31
|
[
"BSD-3-Clause"
] | null | null | null |
__version__='0.3.2'
| 10
| 19
| 0.7
| 4
| 20
| 2.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.157895
| 0.05
| 20
| 1
| 20
| 20
| 0.368421
| 0
| 0
| 0
| 0
| 0
| 0.25
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
4af2af7198de98ac9f20ff1edccc2fabfb60b5a2
| 145
|
py
|
Python
|
tests/state/outervar/modules/module1/__init__.py
|
da-h/miniflask
|
d5e594153cca4ce4d30db01b1d06d05afa9e7aaa
|
[
"MIT"
] | 5
|
2020-02-17T12:14:36.000Z
|
2020-02-27T12:09:05.000Z
|
tests/state/outervar/modules/module1/__init__.py
|
da-h/miniflask
|
d5e594153cca4ce4d30db01b1d06d05afa9e7aaa
|
[
"MIT"
] | 69
|
2020-04-03T08:16:35.000Z
|
2021-12-21T15:46:29.000Z
|
tests/state/outervar/modules/module1/__init__.py
|
da-h/miniflask
|
d5e594153cca4ce4d30db01b1d06d05afa9e7aaa
|
[
"MIT"
] | 1
|
2020-04-02T15:46:39.000Z
|
2020-04-02T15:46:39.000Z
|
from miniflask import outervar
def main(var_a=outervar):
print("outervar:", var_a)
def register(mf):
mf.register_event('main', main)
| 14.5
| 35
| 0.703448
| 21
| 145
| 4.714286
| 0.571429
| 0.080808
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.165517
| 145
| 9
| 36
| 16.111111
| 0.818182
| 0
| 0
| 0
| 0
| 0
| 0.089655
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0.2
| 0
| 0.6
| 0.2
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
ab28db5e1147460a144341207c314ac2aa100436
| 558
|
py
|
Python
|
telegram/ext/commands/errors.py
|
ilovetocode2019/telegram-ext-commands
|
a41ecf63dd6d08fc66a6ba997db7f36d47cb43b3
|
[
"MIT"
] | 1
|
2020-07-20T02:59:08.000Z
|
2020-07-20T02:59:08.000Z
|
telegram/ext/commands/errors.py
|
ilovetocode2019/telegram-ext-commands
|
a41ecf63dd6d08fc66a6ba997db7f36d47cb43b3
|
[
"MIT"
] | null | null | null |
telegram/ext/commands/errors.py
|
ilovetocode2019/telegram-ext-commands
|
a41ecf63dd6d08fc66a6ba997db7f36d47cb43b3
|
[
"MIT"
] | null | null | null |
class NotFound(Exception):
"""Raised when something is not found"""
pass
class CommandAlreadyExists(Exception):
"""Raised when trying to create a command that already exists"""
pass
class AlreadyExists(Exception):
"""Raised when something already exists"""
pass
class LoadError(Exception):
"""Raised when the bot cannot load a cog"""
pass
class ArgumentError(Exception):
"""Raised when parsing arguments fails"""
pass
class CheckFailure(Exception):
"""Raised when a check for a command fails"""
pass
| 19.241379
| 68
| 0.691756
| 66
| 558
| 5.848485
| 0.5
| 0.233161
| 0.295337
| 0.145078
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.21147
| 558
| 29
| 69
| 19.241379
| 0.877273
| 0.437276
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
ab318ab79ace13cc0da465325238d5ef5daec3ab
| 67
|
py
|
Python
|
simple_mortgage_calculator/__init__.py
|
geea-develop/simple-mortgage-calculator
|
7cf907827b1d30df5b64f1c586759045fa7bbf77
|
[
"MIT"
] | null | null | null |
simple_mortgage_calculator/__init__.py
|
geea-develop/simple-mortgage-calculator
|
7cf907827b1d30df5b64f1c586759045fa7bbf77
|
[
"MIT"
] | null | null | null |
simple_mortgage_calculator/__init__.py
|
geea-develop/simple-mortgage-calculator
|
7cf907827b1d30df5b64f1c586759045fa7bbf77
|
[
"MIT"
] | null | null | null |
from .loan import *
from .mortgage import *
__version__ = "0.0.1"
| 13.4
| 23
| 0.686567
| 10
| 67
| 4.2
| 0.7
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.054545
| 0.179104
| 67
| 4
| 24
| 16.75
| 0.709091
| 0
| 0
| 0
| 0
| 0
| 0.074627
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
ab45f849835755a1af55b6e49e8e1ead621e1b28
| 32
|
py
|
Python
|
dajax/__init__.py
|
navedr/django-dajax3
|
cc9c249a546e2431962e28640d55a4d2bb5a21c8
|
[
"BSD-3-Clause"
] | 48
|
2015-01-09T23:02:51.000Z
|
2021-11-15T09:52:49.000Z
|
dajax/__init__.py
|
navedr/django-dajax3
|
cc9c249a546e2431962e28640d55a4d2bb5a21c8
|
[
"BSD-3-Clause"
] | 11
|
2015-01-24T03:44:02.000Z
|
2021-04-30T21:02:05.000Z
|
dajax/__init__.py
|
navedr/django-dajax3
|
cc9c249a546e2431962e28640d55a4d2bb5a21c8
|
[
"BSD-3-Clause"
] | 34
|
2015-01-09T22:07:43.000Z
|
2021-04-27T19:40:21.000Z
|
__version__ = (0, 9, 2, 'beta')
| 16
| 31
| 0.5625
| 5
| 32
| 2.8
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.115385
| 0.1875
| 32
| 1
| 32
| 32
| 0.423077
| 0
| 0
| 0
| 0
| 0
| 0.125
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
ab491862f1a9f4a53236381680e25f4705d6ed8a
| 72
|
py
|
Python
|
main.py
|
andersinno/bookcli-webinar
|
8d8a05139e2b12ab53c6501513a06cc83db0c869
|
[
"MIT"
] | null | null | null |
main.py
|
andersinno/bookcli-webinar
|
8d8a05139e2b12ab53c6501513a06cc83db0c869
|
[
"MIT"
] | null | null | null |
main.py
|
andersinno/bookcli-webinar
|
8d8a05139e2b12ab53c6501513a06cc83db0c869
|
[
"MIT"
] | null | null | null |
from readbook import readbook
if __name__ == "__main__":
readbook()
| 18
| 29
| 0.722222
| 8
| 72
| 5.5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.180556
| 72
| 4
| 30
| 18
| 0.745763
| 0
| 0
| 0
| 0
| 0
| 0.109589
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
ab558f2cf19562551f0cc3ef9e085e93458dc859
| 81
|
py
|
Python
|
Desarrollo/Python/Uber/car.py
|
EliazBobadilla/Curso-POO-de-Platzi
|
276d21e24443ce2115b84609f460c42aefd9e57e
|
[
"MIT"
] | 4
|
2021-03-26T15:59:46.000Z
|
2021-06-05T15:15:56.000Z
|
Desarrollo/Python/Uber/car.py
|
EliazBobadilla/POO-en-Platzi
|
276d21e24443ce2115b84609f460c42aefd9e57e
|
[
"MIT"
] | null | null | null |
Desarrollo/Python/Uber/car.py
|
EliazBobadilla/POO-en-Platzi
|
276d21e24443ce2115b84609f460c42aefd9e57e
|
[
"MIT"
] | 2
|
2021-06-04T20:23:40.000Z
|
2021-06-05T15:15:58.000Z
|
class Car:
ID = int
license = str
driver = str
passegenger = int
| 13.5
| 21
| 0.567901
| 10
| 81
| 4.6
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.37037
| 81
| 5
| 22
| 16.2
| 0.901961
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.2
| 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
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
db5f4e24547223ef78aae88c2676bf49ce294175
| 117
|
py
|
Python
|
Pyiiko/__init__.py
|
gadzhi/pyko
|
232eb1005fe5edb4a9b0ff518b9dc8421f8c10a4
|
[
"Apache-2.0"
] | 18
|
2018-03-26T14:14:57.000Z
|
2022-03-10T13:18:33.000Z
|
Pyiiko/__init__.py
|
gadzhi/pyko
|
232eb1005fe5edb4a9b0ff518b9dc8421f8c10a4
|
[
"Apache-2.0"
] | null | null | null |
Pyiiko/__init__.py
|
gadzhi/pyko
|
232eb1005fe5edb4a9b0ff518b9dc8421f8c10a4
|
[
"Apache-2.0"
] | 6
|
2018-06-05T23:44:21.000Z
|
2022-03-23T11:03:34.000Z
|
from .server import IikoServer
from .biz import IikoBiz
from .card5 import Card5
from .frontWeb import FrontWebAPI
| 16.714286
| 33
| 0.811966
| 16
| 117
| 5.9375
| 0.5625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.020202
| 0.153846
| 117
| 6
| 34
| 19.5
| 0.939394
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
db6eebddd43a9808b2cae53d3fa5ebb4f482b7af
| 1,123
|
py
|
Python
|
monsterapi/migrations/0018_auto_20181121_0939.py
|
merenor/momeback
|
33195c43abd2757a361dfc5cb7e3cf56f6b57402
|
[
"MIT"
] | 1
|
2018-11-05T13:08:48.000Z
|
2018-11-05T13:08:48.000Z
|
monsterapi/migrations/0018_auto_20181121_0939.py
|
merenor/momeback
|
33195c43abd2757a361dfc5cb7e3cf56f6b57402
|
[
"MIT"
] | null | null | null |
monsterapi/migrations/0018_auto_20181121_0939.py
|
merenor/momeback
|
33195c43abd2757a361dfc5cb7e3cf56f6b57402
|
[
"MIT"
] | null | null | null |
# Generated by Django 2.1.3 on 2018-11-21 08:39
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('monsterapi', '0017_auto_20181120_2153'),
]
operations = [
migrations.AlterField(
model_name='melody',
name='clef',
field=models.CharField(blank=True, max_length=10, null=True),
),
migrations.AlterField(
model_name='melody',
name='keysig',
field=models.CharField(blank=True, max_length=10, null=True),
),
migrations.AlterField(
model_name='melody',
name='movement',
field=models.CharField(blank=True, max_length=100, null=True),
),
migrations.AlterField(
model_name='melody',
name='timesig',
field=models.CharField(blank=True, max_length=10, null=True),
),
migrations.AlterField(
model_name='melody',
name='work_title',
field=models.CharField(blank=True, max_length=100, null=True),
),
]
| 28.794872
| 74
| 0.568121
| 115
| 1,123
| 5.426087
| 0.391304
| 0.160256
| 0.200321
| 0.232372
| 0.700321
| 0.700321
| 0.637821
| 0.637821
| 0.575321
| 0.575321
| 0
| 0.055556
| 0.310775
| 1,123
| 38
| 75
| 29.552632
| 0.750646
| 0.040071
| 0
| 0.625
| 1
| 0
| 0.091078
| 0.021375
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.03125
| 0
| 0.125
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 1
| 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
| 4
|
db8b301063392030753304fbb8ed471cd7aa3fbf
| 25
|
py
|
Python
|
hca/version.py
|
GPelayo/dcp-cli
|
d585fd8b4687f29bfd034242472b870d17ed1e50
|
[
"MIT"
] | 8
|
2017-10-10T18:29:27.000Z
|
2019-06-15T04:25:43.000Z
|
hca/version.py
|
GPelayo/dcp-cli
|
d585fd8b4687f29bfd034242472b870d17ed1e50
|
[
"MIT"
] | 440
|
2017-10-09T16:06:22.000Z
|
2021-03-25T17:12:18.000Z
|
hca/version.py
|
GPelayo/dcp-cli
|
d585fd8b4687f29bfd034242472b870d17ed1e50
|
[
"MIT"
] | 10
|
2017-11-07T22:42:59.000Z
|
2020-05-05T15:36:01.000Z
|
__version__ = '6.6.0dev'
| 12.5
| 24
| 0.68
| 4
| 25
| 3.25
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.136364
| 0.12
| 25
| 1
| 25
| 25
| 0.454545
| 0
| 0
| 0
| 0
| 0
| 0.32
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
dbbb39da313d6a32a93c41f9edbfd3eabd1564c0
| 185
|
py
|
Python
|
Add_This_Folder_To_PYTHONPATH/code_inspection/__init__.py
|
FI-Mihej/FI-ASockIOCore
|
82ee94e94f692511afee5aeb0d75bb7366eb9b96
|
[
"Apache-2.0"
] | null | null | null |
Add_This_Folder_To_PYTHONPATH/code_inspection/__init__.py
|
FI-Mihej/FI-ASockIOCore
|
82ee94e94f692511afee5aeb0d75bb7366eb9b96
|
[
"Apache-2.0"
] | null | null | null |
Add_This_Folder_To_PYTHONPATH/code_inspection/__init__.py
|
FI-Mihej/FI-ASockIOCore
|
82ee94e94f692511afee5aeb0d75bb7366eb9b96
|
[
"Apache-2.0"
] | null | null | null |
from .line_tracer import *
from .line_profiling import *
"""
Module Docstring
Docstrings: http://www.python.org/dev/peps/pep-0257/
"""
__author__ = 'ButenkoMS <gtalk@butenkoms.space>'
| 20.555556
| 52
| 0.745946
| 24
| 185
| 5.5
| 0.833333
| 0.121212
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.024096
| 0.102703
| 185
| 9
| 53
| 20.555556
| 0.771084
| 0
| 0
| 0
| 0
| 0
| 0.302752
| 0.211009
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
dbd15033e1c9d666b2053f8b6b25aaebaee621b0
| 156
|
py
|
Python
|
src/hdiutils/__init__.py
|
JoshuaHess12/hdi-utils
|
2b2923e74391eccf5963b161d5fc302ac6b214f3
|
[
"MIT"
] | null | null | null |
src/hdiutils/__init__.py
|
JoshuaHess12/hdi-utils
|
2b2923e74391eccf5963b161d5fc302ac6b214f3
|
[
"MIT"
] | null | null | null |
src/hdiutils/__init__.py
|
JoshuaHess12/hdi-utils
|
2b2923e74391eccf5963b161d5fc302ac6b214f3
|
[
"MIT"
] | null | null | null |
# Module for high-dimensional imaging data utils
# Developer: Joshua M. Hess, BSc
# Developed at the Vaccine & Immunotherapy Center, Mass. General Hospital
| 39
| 73
| 0.782051
| 21
| 156
| 5.809524
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.153846
| 156
| 3
| 74
| 52
| 0.924242
| 0.955128
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 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
| 4
|
dbd3abd14417ad9d3c5d0f6d76e291b0e5418aad
| 146
|
py
|
Python
|
exe047-contagem de pares.py
|
carlosbandelli/Exercicios_em_Python
|
2cd5bd837fdc51932f9605db32366ad0e3871d87
|
[
"MIT"
] | null | null | null |
exe047-contagem de pares.py
|
carlosbandelli/Exercicios_em_Python
|
2cd5bd837fdc51932f9605db32366ad0e3871d87
|
[
"MIT"
] | null | null | null |
exe047-contagem de pares.py
|
carlosbandelli/Exercicios_em_Python
|
2cd5bd837fdc51932f9605db32366ad0e3871d87
|
[
"MIT"
] | null | null | null |
for n in range(1, 51):
if n % 2 == 0:
print(n, end=' ')
print('ACABOU')
for n in range(2,51,2):
print(n, end=' ')
print('Acabou')
| 18.25
| 25
| 0.506849
| 27
| 146
| 2.740741
| 0.444444
| 0.108108
| 0.162162
| 0.297297
| 0.540541
| 0
| 0
| 0
| 0
| 0
| 0
| 0.084112
| 0.267123
| 146
| 8
| 26
| 18.25
| 0.607477
| 0
| 0
| 0.285714
| 0
| 0
| 0.095238
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.571429
| 1
| 0
| 0
| null | 0
| 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
| 1
|
0
| 4
|
916e452ea6f7b2d968822418fc06ba17aac154ee
| 149
|
py
|
Python
|
src/metric/__init__.py
|
yyHaker/TextClassification
|
dc3c5ffe0731609c8f0c7a18a4daa5f149f83e9f
|
[
"MIT"
] | 3
|
2019-06-08T14:11:56.000Z
|
2020-05-26T15:08:23.000Z
|
src/metric/__init__.py
|
yyHaker/TextClassification
|
dc3c5ffe0731609c8f0c7a18a4daa5f149f83e9f
|
[
"MIT"
] | null | null | null |
src/metric/__init__.py
|
yyHaker/TextClassification
|
dc3c5ffe0731609c8f0c7a18a4daa5f149f83e9f
|
[
"MIT"
] | null | null | null |
#!/usr/bin/python
# coding:utf-8
"""
@author: yyhaker
@contact: 572176750@qq.com
@file: __init__.py
@time: 2019/3/9 15:37
"""
from .metric import *
| 13.545455
| 26
| 0.671141
| 24
| 149
| 4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.153846
| 0.127517
| 149
| 10
| 27
| 14.9
| 0.584615
| 0.765101
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 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
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
9183c46df58554d8425f5c25fd968f40aaa104cc
| 113
|
py
|
Python
|
runme.py
|
JoshPrim/ECG-Pipeline
|
23fceb0cc03d583ff93d50b23ad6fb25cabfe89a
|
[
"MIT"
] | 2
|
2021-03-23T10:51:41.000Z
|
2021-03-23T12:50:06.000Z
|
runme.py
|
JoshPrim/ECG-Pipeline
|
23fceb0cc03d583ff93d50b23ad6fb25cabfe89a
|
[
"MIT"
] | null | null | null |
runme.py
|
JoshPrim/ECG-Pipeline
|
23fceb0cc03d583ff93d50b23ad6fb25cabfe89a
|
[
"MIT"
] | null | null | null |
from runner.execution_runner import ExecutionRunner
import os
os.chdir('runner')
ExecutionRunner.bootstrap()
| 12.555556
| 51
| 0.814159
| 13
| 113
| 7
| 0.615385
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.106195
| 113
| 8
| 52
| 14.125
| 0.90099
| 0
| 0
| 0
| 0
| 0
| 0.054054
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
918c0994813647c71b59c439af8c56452d7e4e88
| 220
|
py
|
Python
|
posts/serializers.py
|
grace0927/postmattic
|
db08c235e49f6db5669a650951867fc948e1843e
|
[
"MIT"
] | null | null | null |
posts/serializers.py
|
grace0927/postmattic
|
db08c235e49f6db5669a650951867fc948e1843e
|
[
"MIT"
] | null | null | null |
posts/serializers.py
|
grace0927/postmattic
|
db08c235e49f6db5669a650951867fc948e1843e
|
[
"MIT"
] | null | null | null |
from posts.models import NavItem
from rest_framework import serializers
class NavItemSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = NavItem
fields = ('id', 'title', 'link')
| 24.444444
| 64
| 0.727273
| 22
| 220
| 7.227273
| 0.772727
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.190909
| 220
| 8
| 65
| 27.5
| 0.893258
| 0
| 0
| 0
| 0
| 0
| 0.05
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
91946afcc56b029fe1e4d27b291a67c3d1fedd2c
| 350
|
py
|
Python
|
Python/5 - kyu/5 kyu - Pete, the baker.py
|
danielbom/codewars
|
d45b5a813c6f1d952a50d22f0b2fcea4ef3d0e27
|
[
"MIT"
] | null | null | null |
Python/5 - kyu/5 kyu - Pete, the baker.py
|
danielbom/codewars
|
d45b5a813c6f1d952a50d22f0b2fcea4ef3d0e27
|
[
"MIT"
] | null | null | null |
Python/5 - kyu/5 kyu - Pete, the baker.py
|
danielbom/codewars
|
d45b5a813c6f1d952a50d22f0b2fcea4ef3d0e27
|
[
"MIT"
] | null | null | null |
# https://www.codewars.com/kata/pete-the-baker/train/python
# My solution
def cakes(r, a):
'''
input
r : recipe,
a : available
'''
return min([ a[k] // r[k] if k in a.keys() else 0 for k in r.keys()])
# ...
def cakes(recipe, available):
return min(available.get(k, 0)/recipe[k] for k in recipe)
| 25
| 74
| 0.548571
| 55
| 350
| 3.490909
| 0.527273
| 0.046875
| 0.1875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007968
| 0.282857
| 350
| 13
| 75
| 26.923077
| 0.756972
| 0.302857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.25
| 1
| 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
| 1
| 1
| 0
|
0
| 4
|
9195a5cb9679e0726635e44fd1bdcce9203f98be
| 1,485
|
py
|
Python
|
setup.py
|
grantstephens/pyluno
|
105266e860fe8dcff21030d89a1292b5d0700009
|
[
"MIT"
] | 5
|
2017-09-15T03:55:43.000Z
|
2018-08-10T09:47:59.000Z
|
setup.py
|
grantstephens/pyluno
|
105266e860fe8dcff21030d89a1292b5d0700009
|
[
"MIT"
] | 4
|
2017-09-09T12:55:25.000Z
|
2018-01-20T15:05:32.000Z
|
setup.py
|
grantstephens/pyluno
|
105266e860fe8dcff21030d89a1292b5d0700009
|
[
"MIT"
] | 6
|
2017-11-01T09:51:20.000Z
|
2020-09-02T04:50:00.000Z
|
from setuptools import setup, find_packages
with open('pyluno/meta.py') as f:
exec(f.read())
setup(
name='pyluno',
version=__version__,
packages=find_packages(exclude=['tests']),
description='A Luno API for Python',
author='Cayle Sharrock/Grant Stephens',
author_email='grant@stephens.co.za',
scripts=['demo.py'],
install_requires=[
'futures>=3.0.3',
'nose>=1.3.7',
'requests>=2.8.1',
'pandas>=0.17.0',
],
license='MIT',
url='https://github.com/grantstephens/pyluno',
download_url='https://github.com/grantstephens/pyluno/tarball/%s'
% (__version__, ),
keywords='Luno Bitcoin exchange API',
classifiers=[
'Development Status :: 5 - Production/Stable',
'Intended Audience :: Developers',
'License :: OSI Approved :: MIT License',
'Topic :: Office/Business :: Financial',
'Topic :: Utilities',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.6',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.2',
'Programming Language :: Python :: 3.3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
],
test_suite='tests',
extras_require={
'test': ['requests-mock>=0.7.0', 'nose'],
}
)
| 33
| 69
| 0.583165
| 162
| 1,485
| 5.253086
| 0.530864
| 0.20094
| 0.264395
| 0.183314
| 0.148061
| 0.084606
| 0
| 0
| 0
| 0
| 0
| 0.029596
| 0.249158
| 1,485
| 44
| 70
| 33.75
| 0.733632
| 0
| 0
| 0.046512
| 0
| 0
| 0.540067
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.023256
| 0
| 0.023256
| 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
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
91c955f4644070209192cb0168342b6684f7fb7e
| 158
|
py
|
Python
|
wolproxypyapi/__init__.py
|
bateman/wolproxypyapi
|
41e955cf08bc5c677a7b97513082827211998889
|
[
"MIT"
] | null | null | null |
wolproxypyapi/__init__.py
|
bateman/wolproxypyapi
|
41e955cf08bc5c677a7b97513082827211998889
|
[
"MIT"
] | 2
|
2021-12-28T07:56:06.000Z
|
2022-01-17T12:20:37.000Z
|
wolproxypyapi/__init__.py
|
bateman/wolproxypyapi
|
41e955cf08bc5c677a7b97513082827211998889
|
[
"MIT"
] | null | null | null |
"""Retrieve the path of the parent module to dynamically build the name of FastAPI app."""
import pathlib
parent_module = pathlib.Path(__file__).parent.name
| 31.6
| 90
| 0.78481
| 24
| 158
| 4.958333
| 0.625
| 0.201681
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.132911
| 158
| 4
| 91
| 39.5
| 0.868613
| 0.531646
| 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 | 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
| 1
| 0
| 0
| 0
|
0
| 4
|
37e678a4c0908e17f340328fc016c9cba41040e8
| 285
|
py
|
Python
|
desk/set_up/tests/test_full_grid.py
|
s-goldman/Dusty-Evolved-Star-K
|
50d8c056fc9006b45558a6430ee7a67b46f0cc99
|
[
"BSD-3-Clause"
] | 16
|
2018-07-05T18:17:53.000Z
|
2021-08-28T09:20:22.000Z
|
desk/set_up/tests/test_full_grid.py
|
s-goldman/Dusty-Evolved-Star-K
|
50d8c056fc9006b45558a6430ee7a67b46f0cc99
|
[
"BSD-3-Clause"
] | 109
|
2018-06-25T20:44:17.000Z
|
2022-01-29T03:00:23.000Z
|
desk/set_up/tests/test_full_grid.py
|
s-goldman/Dusty-Evolved-Star-K
|
50d8c056fc9006b45558a6430ee7a67b46f0cc99
|
[
"BSD-3-Clause"
] | 5
|
2018-06-12T08:01:40.000Z
|
2021-06-17T00:55:07.000Z
|
import numpy as np
from desk.set_up import full_grid
def test_generate_model_luminosities():
lums = full_grid.generate_model_luminosities(3)
expected = [1000.0, 12247.44871392, 150000.0]
np.testing.assert_allclose(lums, expected, err_msg=("Luminosity generation error"))
| 31.666667
| 87
| 0.775439
| 41
| 285
| 5.146341
| 0.756098
| 0.075829
| 0.236967
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.104839
| 0.129825
| 285
| 8
| 88
| 35.625
| 0.745968
| 0
| 0
| 0
| 1
| 0
| 0.094737
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 1
| 0.166667
| false
| 0
| 0.333333
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
37f423ba2e38d25608c4eebfc9cfd565d686ce9b
| 208
|
py
|
Python
|
app/api/v2/utils/question_vals.py
|
kburudi/Questioner-Api-V2
|
81530d71e6ec241e8652ded2f330e50f00fb0f6b
|
[
"MIT"
] | null | null | null |
app/api/v2/utils/question_vals.py
|
kburudi/Questioner-Api-V2
|
81530d71e6ec241e8652ded2f330e50f00fb0f6b
|
[
"MIT"
] | 1
|
2019-01-17T21:04:56.000Z
|
2019-01-17T21:04:56.000Z
|
app/api/v2/utils/question_vals.py
|
kburudi/Questioner-Api-V2
|
81530d71e6ec241e8652ded2f330e50f00fb0f6b
|
[
"MIT"
] | null | null | null |
from flask import jsonify, abort, make_response
from.base_vals import BaseValidation
class QuestionValid(BaseValidation):
""" validate user question input """
question_required = ["title", "body"]
| 23.111111
| 47
| 0.75
| 23
| 208
| 6.652174
| 0.826087
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.153846
| 208
| 8
| 48
| 26
| 0.869318
| 0.134615
| 0
| 0
| 0
| 0
| 0.052326
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 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
| 1
| 0
|
0
| 4
|
532119cf556e3e6af205b0b2e2c0fb536961b84d
| 98
|
py
|
Python
|
Lista4_02.py
|
NormanDeveloper/Lista4_Python
|
0b875026cac146145d52a1acdd3f3a05af2d9ccb
|
[
"MIT"
] | 1
|
2018-09-15T17:50:54.000Z
|
2018-09-15T17:50:54.000Z
|
Lista4_02.py
|
NormanDeveloper/Lista4_Python
|
0b875026cac146145d52a1acdd3f3a05af2d9ccb
|
[
"MIT"
] | null | null | null |
Lista4_02.py
|
NormanDeveloper/Lista4_Python
|
0b875026cac146145d52a1acdd3f3a05af2d9ccb
|
[
"MIT"
] | null | null | null |
lista = [1.5, 1.6, 16.4, 4.7, 8.83, 23.43, 9.75, 7.5, 3.65, 0.17]
lista.reverse()
print(lista)
| 24.5
| 66
| 0.55102
| 25
| 98
| 2.16
| 0.76
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 0.173469
| 98
| 3
| 67
| 32.666667
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 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
| 1
| 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
| 4
|
53305c24491a828488d6911cc8874a384c66073c
| 22
|
py
|
Python
|
test/test_files/multi.input.py
|
GeeF/sublime-plugin-tests
|
001a168310bc465a20ed142f2cb79ae43f1a8dc3
|
[
"Unlicense"
] | null | null | null |
test/test_files/multi.input.py
|
GeeF/sublime-plugin-tests
|
001a168310bc465a20ed142f2cb79ae43f1a8dc3
|
[
"Unlicense"
] | null | null | null |
test/test_files/multi.input.py
|
GeeF/sublime-plugin-tests
|
001a168310bc465a20ed142f2cb79ae43f1a8dc3
|
[
"Unlicense"
] | null | null | null |
def abc|():
pas|s
| 7.333333
| 11
| 0.454545
| 4
| 22
| 2.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.318182
| 22
| 2
| 12
| 11
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
536886962dd3afce60eca85869e009bb1e8a2d2c
| 168
|
py
|
Python
|
tests/_common.py
|
dougbrion/octoclient
|
9eb20e514b54cc9d323fe1dca814a9d9654a2708
|
[
"MIT"
] | 51
|
2018-07-09T18:02:39.000Z
|
2022-03-22T17:21:44.000Z
|
tests/_common.py
|
dougbrion/octoclient
|
9eb20e514b54cc9d323fe1dca814a9d9654a2708
|
[
"MIT"
] | 10
|
2019-06-09T21:17:38.000Z
|
2021-09-16T21:29:01.000Z
|
tests/_common.py
|
dougbrion/octoclient
|
9eb20e514b54cc9d323fe1dca814a9d9654a2708
|
[
"MIT"
] | 25
|
2018-07-10T06:40:32.000Z
|
2022-03-26T05:23:41.000Z
|
import os
URL = os.environ.get('OCTOPRINT_URL')
APIKEY = os.environ.get('OCTOPRINT_APIKEY')
URL = "http://localhost:5000"
APIKEY = "65FD7606F0FB4DF981C639FEDF08F7E6"
| 21
| 43
| 0.761905
| 20
| 168
| 6.3
| 0.55
| 0.142857
| 0.190476
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.144737
| 0.095238
| 168
| 7
| 44
| 24
| 0.684211
| 0
| 0
| 0
| 0
| 0
| 0.488095
| 0.190476
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.2
| 0
| 0.2
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
72545e82a4593d2e9c83fcf7b5872a7688067ac6
| 52
|
py
|
Python
|
ctapipe/flow/__init__.py
|
orelgueta/ctapipe
|
ee28440e83cc283ccd57428d5fdad764a1e786f0
|
[
"BSD-3-Clause"
] | null | null | null |
ctapipe/flow/__init__.py
|
orelgueta/ctapipe
|
ee28440e83cc283ccd57428d5fdad764a1e786f0
|
[
"BSD-3-Clause"
] | null | null | null |
ctapipe/flow/__init__.py
|
orelgueta/ctapipe
|
ee28440e83cc283ccd57428d5fdad764a1e786f0
|
[
"BSD-3-Clause"
] | null | null | null |
"""
This module contains a Flow based Framework
"""
| 13
| 43
| 0.711538
| 7
| 52
| 5.285714
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.173077
| 52
| 3
| 44
| 17.333333
| 0.860465
| 0.826923
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 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
| 4
|
726eeadcb75b1b9bb68b6902bee7a78cd52bb076
| 143
|
py
|
Python
|
salesforce/testrunner/example/__init__.py
|
bryancolligan/django-salesforce
|
cec08115f97d75d9b7b96bb34c40e48974c7269f
|
[
"MIT"
] | 251
|
2015-01-15T11:39:21.000Z
|
2022-03-28T10:52:10.000Z
|
salesforce/testrunner/example/__init__.py
|
bryancolligan/django-salesforce
|
cec08115f97d75d9b7b96bb34c40e48974c7269f
|
[
"MIT"
] | 196
|
2015-01-09T01:29:37.000Z
|
2022-03-19T19:35:09.000Z
|
salesforce/testrunner/example/__init__.py
|
bryancolligan/django-salesforce
|
cec08115f97d75d9b7b96bb34c40e48974c7269f
|
[
"MIT"
] | 68
|
2015-01-12T18:13:13.000Z
|
2022-03-23T11:16:14.000Z
|
# django-salesforce
#
# by Phil Christensen
# (c) 2012-2013 Freelancers Union (http://www.freelancersunion.org)
# See LICENSE.md for details
#
| 20.428571
| 67
| 0.741259
| 19
| 143
| 5.578947
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.064516
| 0.132867
| 143
| 6
| 68
| 23.833333
| 0.790323
| 0.909091
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 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
| 4
|
7272cf4070fb79eab793ef6a5beff00247fd4ce8
| 233
|
py
|
Python
|
temporary/test/tests_using_decorators/tests.py
|
mvdbeek/python-temporary
|
5af1a393e57e71c2d4728e2c8e228edfd020e847
|
[
"MIT"
] | 5
|
2015-07-27T22:16:31.000Z
|
2021-07-31T13:14:44.000Z
|
temporary/test/tests_using_decorators/tests.py
|
mvdbeek/python-temporary
|
5af1a393e57e71c2d4728e2c8e228edfd020e847
|
[
"MIT"
] | 5
|
2015-05-21T21:42:02.000Z
|
2021-03-29T18:28:29.000Z
|
temporary/test/tests_using_decorators/tests.py
|
mvdbeek/python-temporary
|
5af1a393e57e71c2d4728e2c8e228edfd020e847
|
[
"MIT"
] | 1
|
2017-06-18T20:01:49.000Z
|
2017-06-18T20:01:49.000Z
|
import temporary
def test_control():
pass
@temporary.temp_dir(make_cwd=True)
def test_temp_dir_with_make_cwd_is_registered_as_test():
pass
@temporary.in_temp_dir()
def test_in_temp_dir_is_registered_as_test():
pass
| 14.5625
| 56
| 0.7897
| 38
| 233
| 4.289474
| 0.421053
| 0.171779
| 0.171779
| 0.220859
| 0.269939
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.133047
| 233
| 15
| 57
| 15.533333
| 0.806931
| 0
| 0
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| true
| 0.333333
| 0.111111
| 0
| 0.444444
| 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
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
72a5ee3bd3fdc5692a582449d3b1981b6de25577
| 1,103
|
py
|
Python
|
setup.py
|
borntyping/python-infix
|
f86a3ca96bdc7df9d622d3f51522bb2318ffc4e6
|
[
"Unlicense"
] | 52
|
2015-02-02T16:57:57.000Z
|
2022-01-26T12:23:11.000Z
|
setup.py
|
borntyping/python-infix
|
f86a3ca96bdc7df9d622d3f51522bb2318ffc4e6
|
[
"Unlicense"
] | 5
|
2015-07-24T13:08:32.000Z
|
2018-11-26T01:35:57.000Z
|
setup.py
|
borntyping/python-infix
|
f86a3ca96bdc7df9d622d3f51522bb2318ffc4e6
|
[
"Unlicense"
] | 11
|
2015-07-24T14:29:52.000Z
|
2021-11-05T23:51:47.000Z
|
#!/usr/bin/env python
from setuptools import setup
setup(
name = 'infix',
version = '1.2',
license = 'MIT License',
url = 'https://github.com/borntyping/python-infix',
author = 'Sam Clements',
author_email = 'sam@borntyping.co.uk',
description = 'Infix operators for Python',
long_description = open('README.rst').read(),
py_modules = ['infix'],
classifiers = [
'Development Status :: 5 - Production/Stable',
'Intended Audience :: Developers',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.6',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.2',
'Programming Language :: Python :: 3.3',
'Programming Language :: Python :: 3.4',
'Topic :: Software Development :: Libraries',
'Topic :: Utilities',
],
)
| 31.514286
| 68
| 0.547597
| 103
| 1,103
| 5.834951
| 0.553398
| 0.252912
| 0.332779
| 0.173045
| 0.08985
| 0
| 0
| 0
| 0
| 0
| 0
| 0.019737
| 0.31097
| 1,103
| 34
| 69
| 32.441176
| 0.771053
| 0.018132
| 0
| 0
| 0
| 0
| 0.546211
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.037037
| 0
| 0.037037
| 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
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
72ac80cfed1dae0f6e40a48909289d99b698f31e
| 43
|
py
|
Python
|
src/ccapi/model/model/boolean/condition/state.py
|
achillesrasquinha/CCPy
|
7a5b4fc008a9a0c90caee5d2d6a8c67393dcb822
|
[
"MIT"
] | 9
|
2020-05-12T08:16:35.000Z
|
2022-01-06T03:22:18.000Z
|
src/ccapi/model/model/boolean/condition/state.py
|
achillesrasquinha/CCPy
|
7a5b4fc008a9a0c90caee5d2d6a8c67393dcb822
|
[
"MIT"
] | 3
|
2020-10-14T16:29:24.000Z
|
2021-10-04T07:24:34.000Z
|
src/ccapi/model/model/boolean/condition/state.py
|
achillesrasquinha/CCPy
|
7a5b4fc008a9a0c90caee5d2d6a8c67393dcb822
|
[
"MIT"
] | 1
|
2019-12-30T23:13:46.000Z
|
2019-12-30T23:13:46.000Z
|
class State:
ON = "on"
OFF = "off"
| 14.333333
| 15
| 0.465116
| 6
| 43
| 3.333333
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.372093
| 43
| 3
| 15
| 14.333333
| 0.740741
| 0
| 0
| 0
| 0
| 0
| 0.113636
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 1
| 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
| 1
| 0
|
0
| 4
|
72bd7c76c5bf462b530ebbcaa3a9577d0c0469e0
| 74
|
py
|
Python
|
src/amuse/support/data/set.py
|
rknop/amuse
|
85d5bdcc29cfc87dc69d91c264101fafd6658aec
|
[
"Apache-2.0"
] | 131
|
2015-06-04T09:06:57.000Z
|
2022-02-01T12:11:29.000Z
|
src/amuse/support/data/set.py
|
rknop/amuse
|
85d5bdcc29cfc87dc69d91c264101fafd6658aec
|
[
"Apache-2.0"
] | 690
|
2015-10-17T12:18:08.000Z
|
2022-03-31T16:15:58.000Z
|
src/amuse/support/data/set.py
|
rieder/amuse
|
3ac3b6b8f922643657279ddee5c8ab3fc0440d5e
|
[
"Apache-2.0"
] | 102
|
2015-01-22T10:00:29.000Z
|
2022-02-09T13:29:43.000Z
|
"""
A set is a collection of values with the same units and precision
"""
| 18.5
| 65
| 0.716216
| 13
| 74
| 4.076923
| 0.923077
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.202703
| 74
| 3
| 66
| 24.666667
| 0.898305
| 0.878378
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 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
| 4
|
72d84e5cf3dd1a564bf72469ddfa79e65c8f4ed3
| 5,355
|
py
|
Python
|
readthedocs/builds/tests/test_build_queryset.py
|
yarons/readthedocs.org
|
05c99a0adc222a1d48654d305b492ec142c3026b
|
[
"MIT"
] | 4,054
|
2015-01-01T00:58:07.000Z
|
2019-06-28T05:50:49.000Z
|
readthedocs/builds/tests/test_build_queryset.py
|
yarons/readthedocs.org
|
05c99a0adc222a1d48654d305b492ec142c3026b
|
[
"MIT"
] | 4,282
|
2015-01-01T21:38:49.000Z
|
2019-06-28T15:41:00.000Z
|
readthedocs/builds/tests/test_build_queryset.py
|
yarons/readthedocs.org
|
05c99a0adc222a1d48654d305b492ec142c3026b
|
[
"MIT"
] | 3,224
|
2015-01-01T07:38:45.000Z
|
2019-06-28T09:19:10.000Z
|
import django_dynamic_fixture as fixture
import pytest
from readthedocs.builds.models import Build
from readthedocs.organizations.models import Organization
from readthedocs.projects.models import Project
@pytest.mark.django_db
class TestBuildQuerySet:
def test_concurrent_builds(self):
project = fixture.get(
Project,
max_concurrent_builds=None,
main_language_project=None,
)
for state in ("triggered", "building", "cloning", "finished", "cancelled"):
fixture.get(
Build,
project=project,
state=state,
)
assert (False, 2, 4) == Build.objects.concurrent(project)
for state in ('building', 'cloning'):
fixture.get(
Build,
project=project,
state=state,
)
assert (True, 4, 4) == Build.objects.concurrent(project)
def test_concurrent_builds_project_limited(self):
project = fixture.get(
Project,
max_concurrent_builds=2,
main_language_project=None,
)
for state in ("triggered", "building", "cloning", "finished", "cancelled"):
fixture.get(
Build,
project=project,
state=state,
)
assert (True, 2, 2) == Build.objects.concurrent(project)
def test_concurrent_builds_translations(self):
project = fixture.get(
Project,
max_concurrent_builds=None,
main_language_project=None,
)
translation = fixture.get(
Project,
max_concurrent_builds=None,
main_language_project=project,
)
for state in ("triggered", "building", "cloning", "finished", "cancelled"):
fixture.get(
Build,
project=project,
state=state,
)
assert (False, 2, 4) == Build.objects.concurrent(translation)
for state in ('building', 'cloning'):
fixture.get(
Build,
project=translation,
state=state,
)
assert (True, 4, 4) == Build.objects.concurrent(translation)
assert (True, 4, 4) == Build.objects.concurrent(project)
def test_concurrent_builds_organization(self):
organization = fixture.get(
Organization,
max_concurrent_builds=None,
)
for _ in range(2):
project = fixture.get(
Project,
max_concurrent_builds=None,
main_language_project=None,
)
organization.projects.add(project)
for project in organization.projects.all():
for state in ("triggered", "building", "cloning", "finished", "cancelled"):
fixture.get(
Build,
project=project,
state=state,
)
project = organization.projects.first()
assert (True, 4, 4) == Build.objects.concurrent(project)
for state in ('building', 'cloning'):
fixture.get(
Build,
project=project,
state=state,
)
assert (True, 6, 4) == Build.objects.concurrent(project)
def test_concurrent_builds_organization_limited(self):
organization = fixture.get(
Organization,
max_concurrent_builds=10,
)
project_with_builds = fixture.get(
Project,
max_concurrent_builds=None,
main_language_project=None,
)
project_without_builds = fixture.get(
Project,
max_concurrent_builds=None,
main_language_project=None,
)
organization.projects.add(project_with_builds)
organization.projects.add(project_without_builds)
for state in ("triggered", "building", "cloning", "finished", "cancelled"):
fixture.get(
Build,
project=project_with_builds,
state=state,
)
# Calling it with ``project_without_builds`` should count the builds
# from ``project_with_builds`` as well
assert (False, 2, 10) == Build.objects.concurrent(project_without_builds)
def test_concurrent_builds_organization_and_project_limited(self):
organization = fixture.get(
Organization,
max_concurrent_builds=10,
)
project_limited = fixture.get(
Project,
max_concurrent_builds=2,
main_language_project=None,
)
project_not_limited = fixture.get(
Project,
max_concurrent_builds=None,
main_language_project=None,
)
organization.projects.add(project_limited)
organization.projects.add(project_not_limited)
for state in ("triggered", "building", "cloning", "finished", "cancelled"):
fixture.get(
Build,
project=project_limited,
state=state,
)
assert (True, 2, 2) == Build.objects.concurrent(project_limited)
assert (False, 2, 10) == Build.objects.concurrent(project_not_limited)
| 33.679245
| 87
| 0.55929
| 490
| 5,355
| 5.920408
| 0.12449
| 0.072389
| 0.078594
| 0.062048
| 0.779042
| 0.754567
| 0.754567
| 0.749741
| 0.684936
| 0.653568
| 0
| 0.008918
| 0.350887
| 5,355
| 158
| 88
| 33.892405
| 0.825662
| 0.019234
| 0
| 0.587413
| 0
| 0
| 0.055439
| 0
| 0
| 0
| 0
| 0
| 0.076923
| 1
| 0.041958
| false
| 0
| 0.034965
| 0
| 0.083916
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 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
| 4
|
72e4a9a816050a337d83dce21abfc938a71e5820
| 388
|
py
|
Python
|
georiviere/description/urls.py
|
georiviere/Georiviere-admin
|
4ac532f84a7a8fef3e01384fad63e8e288d397c0
|
[
"BSD-2-Clause"
] | 7
|
2021-11-05T14:52:25.000Z
|
2022-03-24T21:18:02.000Z
|
georiviere/description/urls.py
|
georiviere/Georiviere-admin
|
4ac532f84a7a8fef3e01384fad63e8e288d397c0
|
[
"BSD-2-Clause"
] | 57
|
2021-11-02T10:27:34.000Z
|
2022-03-31T14:08:32.000Z
|
georiviere/description/urls.py
|
georiviere/Georiviere-admin
|
4ac532f84a7a8fef3e01384fad63e8e288d397c0
|
[
"BSD-2-Clause"
] | 1
|
2021-12-05T14:55:42.000Z
|
2021-12-05T14:55:42.000Z
|
from .models import Usage, Status, Land, Morphology
from mapentity.registry import registry
from .registry import DescriptionOptions
app_name = 'description'
urlpatterns = registry.register(Usage, options=DescriptionOptions)
urlpatterns += registry.register(Morphology, menu=False)
urlpatterns += registry.register(Status, menu=False)
urlpatterns += registry.register(Land, menu=False)
| 35.272727
| 66
| 0.814433
| 43
| 388
| 7.325581
| 0.418605
| 0.24127
| 0.342857
| 0.177778
| 0.228571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.092784
| 388
| 10
| 67
| 38.8
| 0.894886
| 0
| 0
| 0
| 0
| 0
| 0.028351
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.375
| 0
| 0.375
| 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
| 1
| 0
| 0
| 0
|
0
| 4
|
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