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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
88fbfcd58c0fce981e3b3a319912bd08eceec6dd | 150 | py | Python | python/_PYTHONSTARTUP.py | mfarrugi/.dots | e8abf8eeb285187c7b9d3d6064fc9cbfe3eadbdd | [
"MIT"
] | 1 | 2018-09-17T15:34:14.000Z | 2018-09-17T15:34:14.000Z | python/_PYTHONSTARTUP.py | mfarrugi/.dots | e8abf8eeb285187c7b9d3d6064fc9cbfe3eadbdd | [
"MIT"
] | null | null | null | python/_PYTHONSTARTUP.py | mfarrugi/.dots | e8abf8eeb285187c7b9d3d6064fc9cbfe3eadbdd | [
"MIT"
] | 1 | 2018-11-19T10:56:47.000Z | 2018-11-19T10:56:47.000Z | import subprocess
def shell(*args):
return (subprocess.check_output(args)
.decode('ascii')
.strip()
.split('\n'))
| 18.75 | 42 | 0.546667 | 15 | 150 | 5.4 | 0.866667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.3 | 150 | 7 | 43 | 21.428571 | 0.771429 | 0 | 0 | 0 | 0 | 0 | 0.048951 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | true | 0 | 0.166667 | 0.166667 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4 |
001108a70d1432d86e35906c243dde7c11c0bd34 | 91 | py | Python | server/dockyard/service/interface/manager/__init__.py | tor4z/Galileo-dockyard | c7f65c1466a1450315935ad03a5a504e7bdb1660 | [
"MIT"
] | null | null | null | server/dockyard/service/interface/manager/__init__.py | tor4z/Galileo-dockyard | c7f65c1466a1450315935ad03a5a504e7bdb1660 | [
"MIT"
] | null | null | null | server/dockyard/service/interface/manager/__init__.py | tor4z/Galileo-dockyard | c7f65c1466a1450315935ad03a5a504e7bdb1660 | [
"MIT"
] | null | null | null | from dockyard.var import GLOBAL
routes = []
def init():
GLOBAL.routes.extend(routes) | 13 | 32 | 0.703297 | 12 | 91 | 5.333333 | 0.75 | 0.375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.175824 | 91 | 7 | 32 | 13 | 0.853333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.25 | 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 |
00148430ef8d0c59b2fb43f8963ed49b5ead0bac | 28 | py | Python | junn/common/launcher/__init__.py | modsim/junn | a40423b98c6a3739dd0b2ba02d546a5db91f9215 | [
"BSD-2-Clause"
] | null | null | null | junn/common/launcher/__init__.py | modsim/junn | a40423b98c6a3739dd0b2ba02d546a5db91f9215 | [
"BSD-2-Clause"
] | null | null | null | junn/common/launcher/__init__.py | modsim/junn | a40423b98c6a3739dd0b2ba02d546a5db91f9215 | [
"BSD-2-Clause"
] | null | null | null | """JUNN launcher helper."""
| 14 | 27 | 0.642857 | 3 | 28 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.107143 | 28 | 1 | 28 | 28 | 0.72 | 0.75 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
0022bf34c7e00c6b570a3a68125178f9abc9ea22 | 38 | py | Python | bot/settings.py | RunningMSN/interview-bot | 346ea7ad5241a39fbafba7191d395b627abf0d96 | [
"MIT"
] | null | null | null | bot/settings.py | RunningMSN/interview-bot | 346ea7ad5241a39fbafba7191d395b627abf0d96 | [
"MIT"
] | null | null | null | bot/settings.py | RunningMSN/interview-bot | 346ea7ad5241a39fbafba7191d395b627abf0d96 | [
"MIT"
] | null | null | null | # Discord API Bot Token
bot_token = "" | 19 | 23 | 0.710526 | 6 | 38 | 4.333333 | 0.666667 | 0.615385 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.184211 | 38 | 2 | 24 | 19 | 0.83871 | 0.552632 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
00414f14df45dff8bc1a5702510b6aefae4aef9e | 247 | gyp | Python | binding.gyp | inception-soa/inception.streams.av | ef94fe8a8da50d26b1ae243cea316e09fc774c0f | [
"Apache-2.0"
] | null | null | null | binding.gyp | inception-soa/inception.streams.av | ef94fe8a8da50d26b1ae243cea316e09fc774c0f | [
"Apache-2.0"
] | null | null | null | binding.gyp | inception-soa/inception.streams.av | ef94fe8a8da50d26b1ae243cea316e09fc774c0f | [
"Apache-2.0"
] | null | null | null | {
"targets": [
{
"target_name": "inception.streams.av",
"sources": ["src/inception.streams.av.c"],
"include_dirs": [
"<!(node -e \"require('nan')\")"
]
}
],
}
| 20.583333 | 54 | 0.37247 | 18 | 247 | 5 | 0.833333 | 0.355556 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.425101 | 247 | 11 | 55 | 22.454545 | 0.633803 | 0 | 0 | 0 | 0 | 0 | 0.40081 | 0.105263 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
cc3757ecabe659b144e7a17a778f73836e2d3b58 | 1,091 | py | Python | clients/python/test/test_actions_api.py | adipolak/lakeFS | 798e7b7d42f20dba2261c7ecbdc56a5c9131a28c | [
"Apache-2.0"
] | 1 | 2022-02-02T08:52:15.000Z | 2022-02-02T08:52:15.000Z | clients/python/test/test_actions_api.py | adipolak/lakeFS | 798e7b7d42f20dba2261c7ecbdc56a5c9131a28c | [
"Apache-2.0"
] | null | null | null | clients/python/test/test_actions_api.py | adipolak/lakeFS | 798e7b7d42f20dba2261c7ecbdc56a5c9131a28c | [
"Apache-2.0"
] | null | null | null | """
lakeFS API
lakeFS HTTP API # noqa: E501
The version of the OpenAPI document: 0.1.0
Contact: services@treeverse.io
Generated by: https://openapi-generator.tech
"""
import unittest
import lakefs_client
from lakefs_client.api.actions_api import ActionsApi # noqa: E501
class TestActionsApi(unittest.TestCase):
"""ActionsApi unit test stubs"""
def setUp(self):
self.api = ActionsApi() # noqa: E501
def tearDown(self):
pass
def test_get_run(self):
"""Test case for get_run
get a run # noqa: E501
"""
pass
def test_get_run_hook_output(self):
"""Test case for get_run_hook_output
get run hook output # noqa: E501
"""
pass
def test_list_repository_runs(self):
"""Test case for list_repository_runs
list runs # noqa: E501
"""
pass
def test_list_run_hooks(self):
"""Test case for list_run_hooks
list run hooks # noqa: E501
"""
pass
if __name__ == '__main__':
unittest.main()
| 18.810345 | 66 | 0.60495 | 138 | 1,091 | 4.557971 | 0.376812 | 0.08903 | 0.069952 | 0.09539 | 0.267091 | 0.139905 | 0 | 0 | 0 | 0 | 0 | 0.031662 | 0.305225 | 1,091 | 57 | 67 | 19.140351 | 0.798153 | 0.408799 | 0 | 0.277778 | 1 | 0 | 0.015296 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0.277778 | 0.166667 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 |
cc57a043c5cd3ac55ad095151ce826024e589aa2 | 117 | py | Python | Baekjoon/Python/10870.py | KHJcode/Algorithm-study | fa08d3c752fcb3557fd45fb394157926afc0de4a | [
"MIT"
] | 2 | 2020-05-23T01:55:38.000Z | 2020-07-07T15:59:00.000Z | Baekjoon/Python/10870.py | KHJcode/Algorithm-study | fa08d3c752fcb3557fd45fb394157926afc0de4a | [
"MIT"
] | null | null | null | Baekjoon/Python/10870.py | KHJcode/Algorithm-study | fa08d3c752fcb3557fd45fb394157926afc0de4a | [
"MIT"
] | null | null | null | def fibonacci(n):
if n < 2: return n
return fibonacci(n - 1) + fibonacci(n - 2)
print(fibonacci(int(input())))
| 19.5 | 44 | 0.632479 | 19 | 117 | 3.894737 | 0.526316 | 0.405405 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.031915 | 0.196581 | 117 | 5 | 45 | 23.4 | 0.755319 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0 | 0 | 0.5 | 0.25 | 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 |
cc81fa54f8b7f16ec1404f835b50c10ce1bc54d8 | 244 | py | Python | rosen98_gasabs.py | DaveOri/pyGasAbs | 966eae26d0d356f33bb8964c912d63e2fffe2345 | [
"MIT"
] | null | null | null | rosen98_gasabs.py | DaveOri/pyGasAbs | 966eae26d0d356f33bb8964c912d63e2fffe2345 | [
"MIT"
] | null | null | null | rosen98_gasabs.py | DaveOri/pyGasAbs | 966eae26d0d356f33bb8964c912d63e2fffe2345 | [
"MIT"
] | null | null | null | import numpy as np
from rosen98_gasabs import rosen98_gasabs as r98
# rosen98_gasabs(f[GHz], absolute_humidity[kg/m3], pressure[Pa])
r98(94.0,300,0.001,100000.0)
r98(94.0,300,0.01,100000.0)
# OUT = [0(always), absAir[Np/km], absH2O[Np/km]]
| 22.181818 | 64 | 0.721311 | 47 | 244 | 3.659574 | 0.574468 | 0.226744 | 0.069767 | 0.104651 | 0.116279 | 0 | 0 | 0 | 0 | 0 | 0 | 0.220183 | 0.106557 | 244 | 10 | 65 | 24.4 | 0.568807 | 0.45082 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 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 |
aea0294ddb7fae3c160bdf92312595a51649a14c | 459 | py | Python | RESTful_Face_Web/expiring_token/models.py | luzhoutao/face | ae5910f57ae86412e8a56adbefe4f260dde216f0 | [
"MIT"
] | null | null | null | RESTful_Face_Web/expiring_token/models.py | luzhoutao/face | ae5910f57ae86412e8a56adbefe4f260dde216f0 | [
"MIT"
] | null | null | null | RESTful_Face_Web/expiring_token/models.py | luzhoutao/face | ae5910f57ae86412e8a56adbefe4f260dde216f0 | [
"MIT"
] | null | null | null | from django.db import models
from rest_framework.authtoken.models import Token
from django.utils import timezone
# Create your models here.
class ExpiringToken(Token):
expired_time = models.DateTimeField(null=True)
def expired(self):
"""Return boolean indicating token expiration."""
return timezone.localtime(timezone.now()) > self.expired_time
def get_expired_time(self):
return timezone.localtime(self.expired_time)
| 28.6875 | 69 | 0.747277 | 57 | 459 | 5.912281 | 0.526316 | 0.130564 | 0.136499 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.167756 | 459 | 15 | 70 | 30.6 | 0.882199 | 0.150327 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0.333333 | 0.111111 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 4 |
aee476b8eb46b564e8a91fec9ca52b7246c45b54 | 178 | py | Python | src/blogapp/forms.py | Rutujakenjale/Rest-Api-Django | 4deacc199fef6b65b2020dd2e5dfbc45351dd804 | [
"bzip2-1.0.6"
] | null | null | null | src/blogapp/forms.py | Rutujakenjale/Rest-Api-Django | 4deacc199fef6b65b2020dd2e5dfbc45351dd804 | [
"bzip2-1.0.6"
] | null | null | null | src/blogapp/forms.py | Rutujakenjale/Rest-Api-Django | 4deacc199fef6b65b2020dd2e5dfbc45351dd804 | [
"bzip2-1.0.6"
] | null | null | null | from django import forms
from .models import Article
class ArticleForm(forms.ModelForm):
class Meta:
model=Article
fields=['Title','Author','published_date','description'] | 25.428571 | 58 | 0.769663 | 22 | 178 | 6.181818 | 0.772727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.11236 | 178 | 7 | 58 | 25.428571 | 0.860759 | 0 | 0 | 0 | 0 | 0 | 0.201117 | 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 |
4e2c6c6866881be94ab35cafe00f6917fa9fd5e4 | 1,745 | py | Python | app.py | AdrianoZapata/sistema_login | a311d5e283ba917e5d26d63e001befdccf1e60e3 | [
"MIT"
] | null | null | null | app.py | AdrianoZapata/sistema_login | a311d5e283ba917e5d26d63e001befdccf1e60e3 | [
"MIT"
] | null | null | null | app.py | AdrianoZapata/sistema_login | a311d5e283ba917e5d26d63e001befdccf1e60e3 | [
"MIT"
] | null | null | null | from bottle import Bottle, route, run
from bottle import request, template
from bottle import static_file, get
from bottle import error
'''
@route('/')
@route('/user/<nome>')
def index(nome='Unknown'):
return '<center><h1>Look how awesome you are</h1>' + nome + '</h1></center>'
@route('/artigo/<id>')
def artigo(id):
return '<h1> You are reading my article' + id + '</h1>'
@route('/pagina/<id>/<nome>')
def pagina(id, nome):
return '<h1> You are checking my newest work ' + id + ' with name ' + nome + '</h1>'
'''
# static routes
@get('/<filename:re:.*\.css>')
def stylesheets(filename):
return static_file(filename, root='static/css')
@get('/<filename:re:.*\.js>')
def javascripts(filename):
return static_file(filename, root='static/js')
@get('/<filename:re:.*\.(jpg/png/gif/ico)>')
def stylesheets(filename):
return static_file(filename, root='static/img')
@get('/<filename:re:.*\.(eot/ttf/woff/svg)>')
def stylesheets(filename):
return static_file(filename, root='static/fonts')
@route('/login') # @get('/login')
def login():
return template('login')
def check_login(username, password):
d = {'adriano':'python', 'jhon':'java', 'peter':'go'}
if username in d.keys() and d[username] == password:
return True
else:
False
@route('/login', method='POST') # @post('/login')
def acao_login():
username = request.forms.get('username')
password = request.forms.get('password')
sucesso = check_login(username, password)
return template('verificao_login', sucesso=check_login(username,password), nome=username)
@error(404)
def error404(error):
return template('page404')
if __name__ == '__main__':
run(host='localhost', port=8080, debug=False, reloader=True) | 29.083333 | 91 | 0.661318 | 230 | 1,745 | 4.93913 | 0.378261 | 0.044014 | 0.056338 | 0.084507 | 0.242958 | 0.184859 | 0.184859 | 0.147887 | 0.147887 | 0 | 0 | 0.013396 | 0.144413 | 1,745 | 60 | 92 | 29.083333 | 0.747488 | 0.025215 | 0 | 0.083333 | 0 | 0 | 0.207803 | 0.092357 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0.138889 | 0.111111 | 0.166667 | 0.555556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 4 |
9d6d04973203ded39acca742d62539be1f82545d | 419 | py | Python | DataStructures-Algorithms/Udacity-Python-DSA/02-Stacks-and-Queues/implement-stack-class.py | shoaibur/SWE | 1e114a2750f2df5d6c50b48c8e439224894d65da | [
"MIT"
] | 1 | 2020-11-14T18:28:13.000Z | 2020-11-14T18:28:13.000Z | DataStructures-Algorithms/Udacity-Python-DSA/02-Stacks-and-Queues/implement-stack-class.py | shoaibur/SWE | 1e114a2750f2df5d6c50b48c8e439224894d65da | [
"MIT"
] | null | null | null | DataStructures-Algorithms/Udacity-Python-DSA/02-Stacks-and-Queues/implement-stack-class.py | shoaibur/SWE | 1e114a2750f2df5d6c50b48c8e439224894d65da | [
"MIT"
] | null | null | null | class Stack(object):
def __init__(self):
self.stack = []
def push(self, value):
self.stack.append(value)
def pop(self):
return self.stack.pop()
def is_empty(self):
return self.stack == []
def size(self):
return len(self.stack)
# Example
s = Stack()
s.push(1)
s.push(2)
s.push(3)
print(s.stack) # [1, 2, 3]
s.pop()
print(s.stack) # [1, 2]
| 17.458333 | 32 | 0.536993 | 62 | 419 | 3.548387 | 0.33871 | 0.204545 | 0.109091 | 0.172727 | 0.118182 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027119 | 0.295943 | 419 | 23 | 33 | 18.217391 | 0.718644 | 0.057279 | 0 | 0.111111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.277778 | false | 0 | 0 | 0.166667 | 0.5 | 0.111111 | 0 | 0 | 0 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 |
9da345adf94022cdb82528b95c856892806c16e8 | 216 | py | Python | workflow/apps.py | thomasbtf/snakesite | fba1cd3faf717d10ffc286f33f88f4b3398e72c3 | [
"MIT"
] | 1 | 2021-09-30T09:45:26.000Z | 2021-09-30T09:45:26.000Z | workflow/apps.py | thomasbtf/snakesite | fba1cd3faf717d10ffc286f33f88f4b3398e72c3 | [
"MIT"
] | 1 | 2021-05-22T16:24:06.000Z | 2021-05-22T16:24:06.000Z | workflow/apps.py | thomasbtf/snakesite | fba1cd3faf717d10ffc286f33f88f4b3398e72c3 | [
"MIT"
] | 1 | 2021-09-30T09:46:24.000Z | 2021-09-30T09:46:24.000Z | from django.apps import AppConfig
class WorkflowConfig(AppConfig):
default_auto_field = "django.db.models.BigAutoField"
name = "workflow"
def ready(self):
import workflow.signals # noqa: F401
| 21.6 | 56 | 0.712963 | 25 | 216 | 6.08 | 0.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017341 | 0.199074 | 216 | 9 | 57 | 24 | 0.861272 | 0.046296 | 0 | 0 | 0 | 0 | 0.181373 | 0.142157 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | 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 |
9dcaa374cf582b24a3cb494d790da3cb680a512a | 10 | py | Python | templates/FLASK/blog.py | God-status/PyPC | d2db55b1a24f4149cb4a69ebed6d36a160d92d76 | [
"MIT"
] | 1 | 2021-11-26T19:09:09.000Z | 2021-11-26T19:09:09.000Z | templates/FLASK/blog.py | God-status/PyPC | d2db55b1a24f4149cb4a69ebed6d36a160d92d76 | [
"MIT"
] | null | null | null | templates/FLASK/blog.py | God-status/PyPC | d2db55b1a24f4149cb4a69ebed6d36a160d92d76 | [
"MIT"
] | null | null | null | # blog.py
| 5 | 9 | 0.6 | 2 | 10 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2 | 10 | 1 | 10 | 10 | 0.75 | 0.7 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
9dfd3dc462a8d16c5a8df64b569ebc84f97bb187 | 96 | py | Python | spectrocrunch/materials/__init__.py | woutdenolf/spectrocrunch | fde4b6e0f462f464ce7af6a942b355d3d8f39f77 | [
"MIT"
] | 3 | 2018-04-16T15:51:36.000Z | 2019-12-16T11:21:05.000Z | spectrocrunch/materials/__init__.py | woutdenolf/spectrocrunch | fde4b6e0f462f464ce7af6a942b355d3d8f39f77 | [
"MIT"
] | null | null | null | spectrocrunch/materials/__init__.py | woutdenolf/spectrocrunch | fde4b6e0f462f464ce7af6a942b355d3d8f39f77 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Compounds and mixtures with calculation of physical properties.
"""
| 19.2 | 66 | 0.677083 | 11 | 96 | 5.909091 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012346 | 0.15625 | 96 | 4 | 67 | 24 | 0.790123 | 0.895833 | 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 |
3b053b0fd161bb7de5cd0088a21e666d954af89a | 5,105 | py | Python | tests/testing_output_files/src/dense/dense.py | RS-Coop/Correll_Lab | 7c9ea0ff0ce3f54848a0eb112ef29b28d8e735e5 | [
"MIT"
] | 4 | 2021-05-31T23:49:39.000Z | 2022-03-16T12:27:08.000Z | tests/testing_output_files/src/dense/dense.py | RS-Coop/Correll_Lab | 7c9ea0ff0ce3f54848a0eb112ef29b28d8e735e5 | [
"MIT"
] | 1 | 2021-10-02T19:51:01.000Z | 2022-01-20T21:45:37.000Z | tests/testing_output_files/src/dense/dense.py | correlllab/nn4mc_py | 24fa3f9187f7d89692041b640c48f91c2a77b644 | [
"MIT"
] | null | null | null | # This file was automatically generated by SWIG (http://www.swig.org).
# Version 4.0.1
#
# Do not make changes to this file unless you know what you are doing--modify
# the SWIG interface file instead.
from sys import version_info as _swig_python_version_info
if _swig_python_version_info < (2, 7, 0):
raise RuntimeError("Python 2.7 or later required")
# Import the low-level C/C++ module
if __package__ or "." in __name__:
from . import _dense
else:
import _dense
try:
import builtins as __builtin__
except ImportError:
import __builtin__
def _swig_repr(self):
try:
strthis = "proxy of " + self.this.__repr__()
except __builtin__.Exception:
strthis = ""
return "<%s.%s; %s >" % (self.__class__.__module__, self.__class__.__name__, strthis,)
def _swig_setattr_nondynamic_instance_variable(set):
def set_instance_attr(self, name, value):
if name == "thisown":
self.this.own(value)
elif name == "this":
set(self, name, value)
elif hasattr(self, name) and isinstance(getattr(type(self), name), property):
set(self, name, value)
else:
raise AttributeError("You cannot add instance attributes to %s" % self)
return set_instance_attr
def _swig_setattr_nondynamic_class_variable(set):
def set_class_attr(cls, name, value):
if hasattr(cls, name) and not isinstance(getattr(cls, name), property):
set(cls, name, value)
else:
raise AttributeError("You cannot add class attributes to %s" % cls)
return set_class_attr
def _swig_add_metaclass(metaclass):
"""Class decorator for adding a metaclass to a SWIG wrapped class - a slimmed down version of six.add_metaclass"""
def wrapper(cls):
return metaclass(cls.__name__, cls.__bases__, cls.__dict__.copy())
return wrapper
class _SwigNonDynamicMeta(type):
"""Meta class to enforce nondynamic attributes (no new attributes) for a class"""
__setattr__ = _swig_setattr_nondynamic_class_variable(type.__setattr__)
def build_layer_dense(W, b, input_size, output_size, activation):
return _dense.build_layer_dense(W, b, input_size, output_size, activation)
def fwd_dense(L, input):
return _dense.fwd_dense(L, input)
class Dense(object):
thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag")
__repr__ = _swig_repr
weights = property(_dense.Dense_weights_get, _dense.Dense_weights_set)
biases = property(_dense.Dense_biases_get, _dense.Dense_biases_set)
activation = property(_dense.Dense_activation_get, _dense.Dense_activation_set)
weight_shape = property(_dense.Dense_weight_shape_get, _dense.Dense_weight_shape_set)
input_shape = property(_dense.Dense_input_shape_get, _dense.Dense_input_shape_set)
output_shape = property(_dense.Dense_output_shape_get, _dense.Dense_output_shape_set)
def __init__(self):
_dense.Dense_swiginit(self, _dense.new_Dense())
__swig_destroy__ = _dense.delete_Dense
# Register Dense in _dense:
_dense.Dense_swigregister(Dense)
class input(object):
thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag")
__repr__ = _swig_repr
def __init__(self, nelements):
_dense.input_swiginit(self, _dense.new_input(nelements))
__swig_destroy__ = _dense.delete_input
def __getitem__(self, index):
return _dense.input___getitem__(self, index)
def __setitem__(self, index, value):
return _dense.input___setitem__(self, index, value)
def cast(self):
return _dense.input_cast(self)
@staticmethod
def frompointer(t):
return _dense.input_frompointer(t)
# Register input in _dense:
_dense.input_swigregister(input)
cvar = _dense.cvar
conv1d_1_W = cvar.conv1d_1_W
conv1d_1_b = cvar.conv1d_1_b
conv1d_2_W = cvar.conv1d_2_W
conv1d_2_b = cvar.conv1d_2_b
dense_1_W = cvar.dense_1_W
dense_1_b = cvar.dense_1_b
dense_2_W = cvar.dense_2_W
dense_2_b = cvar.dense_2_b
dense_3_W = cvar.dense_3_W
dense_3_b = cvar.dense_3_b
dense_4_W = cvar.dense_4_W
dense_4_b = cvar.dense_4_b
dense_5_W = cvar.dense_5_W
dense_5_b = cvar.dense_5_b
dense_6_W = cvar.dense_6_W
dense_6_b = cvar.dense_6_b
dense_7_W = cvar.dense_7_W
dense_7_b = cvar.dense_7_b
dense_8_W = cvar.dense_8_W
dense_8_b = cvar.dense_8_b
def input_frompointer(t):
return _dense.input_frompointer(t)
def activate(input, output_shape, type):
return _dense.activate(input, output_shape, type)
def sigmoid(input, m):
return _dense.sigmoid(input, m)
def exp_activation(input, m):
return _dense.exp_activation(input, m)
def softplus(input, m):
return _dense.softplus(input, m)
def softsign(input, m):
return _dense.softsign(input, m)
def hard_sigmoid(input, m):
return _dense.hard_sigmoid(input, m)
def exponential(input):
return _dense.exponential(input)
def relu(input, m):
return _dense.relu(input, m)
def hyper_tan(input, m):
return _dense.hyper_tan(input, m)
def softmax(input, m):
return _dense.softmax(input, m)
| 30.568862 | 118 | 0.727326 | 765 | 5,105 | 4.419608 | 0.20915 | 0.055309 | 0.023662 | 0.040225 | 0.178054 | 0.127181 | 0.127181 | 0.10352 | 0.077492 | 0.077492 | 0 | 0.013314 | 0.176102 | 5,105 | 166 | 119 | 30.753012 | 0.790537 | 0.090695 | 0 | 0.111111 | 1 | 0 | 0.038079 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0.051282 | 0.153846 | 0.598291 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 |
d178d8994592fbff04d26c8aac479115dbdd9296 | 208 | py | Python | dataset/__init__.py | ThuYShao/pytorch-worker | 1d5a576e0ad887d981c0aa06bdae6a23637b870b | [
"MIT"
] | null | null | null | dataset/__init__.py | ThuYShao/pytorch-worker | 1d5a576e0ad887d981c0aa06bdae6a23637b870b | [
"MIT"
] | null | null | null | dataset/__init__.py | ThuYShao/pytorch-worker | 1d5a576e0ad887d981c0aa06bdae6a23637b870b | [
"MIT"
] | null | null | null | from .nlp.JsonFromFiles import JsonFromFilesDataset
from .others.FilenameOnly import FilenameOnlyDataset
dataset_list = {
"JsonFromFiles": JsonFromFilesDataset,
"FilenameOnly": FilenameOnlyDataset
}
| 26 | 52 | 0.8125 | 16 | 208 | 10.5 | 0.625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.120192 | 208 | 7 | 53 | 29.714286 | 0.918033 | 0 | 0 | 0 | 0 | 0 | 0.120192 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4 |
d194108162246aeac07f9565129b82b2c8538085 | 146 | py | Python | katas/kyu_7/the_office_1_outed.py | the-zebulan/CodeWars | 1eafd1247d60955a5dfb63e4882e8ce86019f43a | [
"MIT"
] | 40 | 2016-03-09T12:26:20.000Z | 2022-03-23T08:44:51.000Z | katas/kyu_7/the_office_1_outed.py | akalynych/CodeWars | 1eafd1247d60955a5dfb63e4882e8ce86019f43a | [
"MIT"
] | null | null | null | katas/kyu_7/the_office_1_outed.py | akalynych/CodeWars | 1eafd1247d60955a5dfb63e4882e8ce86019f43a | [
"MIT"
] | 36 | 2016-11-07T19:59:58.000Z | 2022-03-31T11:18:27.000Z | def outed(meet, boss):
result = (sum(meet.values()) + meet[boss]) / len(meet)
return 'Nice Work Champ!' if result > 5 else 'Get Out Now!'
| 36.5 | 63 | 0.623288 | 23 | 146 | 3.956522 | 0.782609 | 0.175824 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008621 | 0.205479 | 146 | 3 | 64 | 48.666667 | 0.775862 | 0 | 0 | 0 | 0 | 0 | 0.191781 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 |
d19feeba1b4c0cdd0df98a55d0e8941b0fa03414 | 80 | py | Python | abc/ABC139/python/b.py | yokotani92/atcoder | febaef2d13c40093a2a284c87a949cd46113801d | [
"MIT"
] | null | null | null | abc/ABC139/python/b.py | yokotani92/atcoder | febaef2d13c40093a2a284c87a949cd46113801d | [
"MIT"
] | null | null | null | abc/ABC139/python/b.py | yokotani92/atcoder | febaef2d13c40093a2a284c87a949cd46113801d | [
"MIT"
] | null | null | null | import math
A, B = map(int, input().split())
print(math.ceil(((B-A)/(A-1))+1)) | 20 | 33 | 0.575 | 16 | 80 | 2.875 | 0.6875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.028169 | 0.1125 | 80 | 4 | 33 | 20 | 0.619718 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.333333 | 0 | 0.333333 | 0.333333 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
d1c156eea0e6d2003239e32460c9e7e914159139 | 199 | py | Python | app/api/v1/user.py | DanylZhang/Netflix-Genre | d68d5b01d8ba25e776edb5fca4f4295a7d3a55a1 | [
"MIT"
] | null | null | null | app/api/v1/user.py | DanylZhang/Netflix-Genre | d68d5b01d8ba25e776edb5fca4f4295a7d3a55a1 | [
"MIT"
] | 2 | 2021-05-09T17:55:15.000Z | 2021-12-13T19:58:57.000Z | app/api/v1/user.py | DanylZhang/Netflix-Genre | d68d5b01d8ba25e776edb5fca4f4295a7d3a55a1 | [
"MIT"
] | null | null | null | from flask import Blueprint
# blueprint
from app.libs.redprint import Redprint
user = Blueprint('user', __name__)
api = Redprint('user')
@api.route('/get')
def get_user():
return "I'm danyl"
| 15.307692 | 38 | 0.708543 | 28 | 199 | 4.857143 | 0.607143 | 0.176471 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.155779 | 199 | 12 | 39 | 16.583333 | 0.809524 | 0.045226 | 0 | 0 | 0 | 0 | 0.111702 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.285714 | 0.142857 | 0.571429 | 0.571429 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 4 |
d1c1f772be4bbd1f58b9a975a7dc50b165fd1431 | 257 | py | Python | quote.py | periodically-makes-puns/CipherBot | d59795c6bd7aebe381a35e8695daeafeefd91542 | [
"MIT"
] | null | null | null | quote.py | periodically-makes-puns/CipherBot | d59795c6bd7aebe381a35e8695daeafeefd91542 | [
"MIT"
] | null | null | null | quote.py | periodically-makes-puns/CipherBot | d59795c6bd7aebe381a35e8695daeafeefd91542 | [
"MIT"
] | null | null | null | import random
file = "data/quotes.txt"
quotes = open(file, "r", encoding="utf-8").readlines() # use builtin readlines
def reload():
quotes = open(file, "r", encoding="utf-8").readlines()
def getQuote() -> str:
return random.choice(quotes).strip() | 25.7 | 78 | 0.669261 | 35 | 257 | 4.914286 | 0.6 | 0.116279 | 0.162791 | 0.174419 | 0.418605 | 0.418605 | 0.418605 | 0.418605 | 0 | 0 | 0 | 0.009091 | 0.143969 | 257 | 10 | 79 | 25.7 | 0.772727 | 0.081712 | 0 | 0.285714 | 0 | 0 | 0.114894 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0.142857 | 0.142857 | 0.571429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 |
ae43fddedade101e5d9d6d647b91e92395d2b2aa | 209 | py | Python | fpas/crud/crud_item.py | martin-hanzely/fpas | 0b30c363a66b98eeb8f6b081a2ab74fc55dd6375 | [
"Unlicense"
] | null | null | null | fpas/crud/crud_item.py | martin-hanzely/fpas | 0b30c363a66b98eeb8f6b081a2ab74fc55dd6375 | [
"Unlicense"
] | null | null | null | fpas/crud/crud_item.py | martin-hanzely/fpas | 0b30c363a66b98eeb8f6b081a2ab74fc55dd6375 | [
"Unlicense"
] | null | null | null | from fpas.crud.crud_base import CRUDBase
from fpas.models.item import Item
from fpas.schemas import ItemCreate, ItemUpdate
class CRUDItem(CRUDBase[Item, ItemCreate, ItemUpdate]): ...
item = CRUDItem(Item)
| 20.9 | 59 | 0.789474 | 28 | 209 | 5.857143 | 0.464286 | 0.146341 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.119617 | 209 | 9 | 60 | 23.222222 | 0.891304 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.6 | 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 |
ae6942660ab9f082686db17f16a71ec885349c8b | 546 | py | Python | ggpy/cruft/autocode/GamePreviewException.py | hobson/ggpy | 4e6e6e876c3a4294cd711647051da2d9c1836b60 | [
"MIT"
] | 1 | 2015-01-26T19:07:45.000Z | 2015-01-26T19:07:45.000Z | ggpy/cruft/autocode/GamePreviewException.py | hobson/ggpy | 4e6e6e876c3a4294cd711647051da2d9c1836b60 | [
"MIT"
] | null | null | null | ggpy/cruft/autocode/GamePreviewException.py | hobson/ggpy | 4e6e6e876c3a4294cd711647051da2d9c1836b60 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
""" generated source for module GamePreviewException """
# package: org.ggp.base.player.gamer.exception
@SuppressWarnings("serial")
class GamePreviewException(Exception):
""" generated source for class GamePreviewException """
def __init__(self, cause):
""" generated source for method __init__ """
super(GamePreviewException, self).__init__(cause)
def __str__(self):
""" generated source for method toString """
return "An unhandled exception occurred during game previewing!"
| 36.4 | 72 | 0.712454 | 56 | 546 | 6.660714 | 0.607143 | 0.160858 | 0.193029 | 0.128686 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.177656 | 546 | 14 | 73 | 39 | 0.830735 | 0.43956 | 0 | 0 | 1 | 0 | 0.218638 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 |
ae8b5a10d28c6937f647e92f9f564b76d3f2adbe | 858 | py | Python | store/tests/test_urls.py | JuanFariasGit/crm | 5ab322644cb988a916bf6b5e8ee79322a40f2601 | [
"MIT"
] | null | null | null | store/tests/test_urls.py | JuanFariasGit/crm | 5ab322644cb988a916bf6b5e8ee79322a40f2601 | [
"MIT"
] | null | null | null | store/tests/test_urls.py | JuanFariasGit/crm | 5ab322644cb988a916bf6b5e8ee79322a40f2601 | [
"MIT"
] | null | null | null | from django.test import TestCase
from django.urls import reverse, resolve
class TestStoreURLs(TestCase):
def test_urls(self):
self.assertEqual(reverse('store:main'), '/store/')
self.assertEqual(reverse('store:list'), '/store/list/')
self.assertEqual(reverse('store:create'), '/store/create/')
self.assertEqual(reverse('store:update', kwargs={'id': 1}), '/store/update/1/')
self.assertEqual(reverse('store:delete'), '/store/delete/')
self.assertEqual(resolve('/store/').view_name, 'store:main')
self.assertEqual(resolve('/store/list/').view_name, 'store:list')
self.assertEqual(resolve('/store/create/').view_name, 'store:create')
self.assertEqual(resolve('/store/update/1/').view_name, 'store:update')
self.assertEqual(resolve('/store/delete/').view_name, 'store:delete')
| 50.470588 | 87 | 0.671329 | 101 | 858 | 5.643564 | 0.237624 | 0.263158 | 0.192982 | 0.236842 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004071 | 0.141026 | 858 | 16 | 88 | 53.625 | 0.769335 | 0 | 0 | 0 | 0 | 0 | 0.27972 | 0 | 0 | 0 | 0 | 0 | 0.714286 | 1 | 0.071429 | false | 0 | 0.142857 | 0 | 0.285714 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
ae8d018366f73b2f3ad5d099501197179e3e5aa5 | 198 | py | Python | venv/lib/python2.7/dist-packages/landscape/lib/__init__.py | pengwu/scapy_env | 3db9c5dea2e219048a2387649d6d89be342903d9 | [
"MIT"
] | null | null | null | venv/lib/python2.7/dist-packages/landscape/lib/__init__.py | pengwu/scapy_env | 3db9c5dea2e219048a2387649d6d89be342903d9 | [
"MIT"
] | null | null | null | venv/lib/python2.7/dist-packages/landscape/lib/__init__.py | pengwu/scapy_env | 3db9c5dea2e219048a2387649d6d89be342903d9 | [
"MIT"
] | null | null | null | """
This package contains the Landscape library. Code inside this
package must be generic and self-contained, depending only on
code inside of the package itself or libraries outside
Landscape.
"""
| 28.285714 | 61 | 0.79798 | 29 | 198 | 5.448276 | 0.758621 | 0.139241 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.151515 | 198 | 6 | 62 | 33 | 0.940476 | 0.954545 | 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 |
ae95018faf20a81439cd444ca5b892080f9fa8c2 | 892 | py | Python | myfunds/modules/security.py | anzodev/myfunds | 9f6cda99f443cec064d15d7ff7780f297cbdfe10 | [
"MIT"
] | null | null | null | myfunds/modules/security.py | anzodev/myfunds | 9f6cda99f443cec064d15d7ff7780f297cbdfe10 | [
"MIT"
] | null | null | null | myfunds/modules/security.py | anzodev/myfunds | 9f6cda99f443cec064d15d7ff7780f297cbdfe10 | [
"MIT"
] | null | null | null | from abc import ABC
from abc import abstractmethod
from werkzeug.security import check_password_hash
from werkzeug.security import generate_password_hash
class PasswordHasher(ABC):
@abstractmethod
def make_hash(self, password: str) -> str:
...
@abstractmethod
def is_hash_correct(self, password_hash: str, password: str) -> bool:
...
class PBKDF2_PasswordHasher(PasswordHasher):
def __init__(
self, hash_func: str = "sha256", iterations: int = 80000, salt_length: int = 16
):
self._method = f"pbkdf2:{hash_func}:{iterations}"
self._salt_length = salt_length
def make_hash(self, password: str) -> str:
return generate_password_hash(password, self._method, self._salt_length)
def is_hash_correct(self, password_hash: str, password: str) -> bool:
return check_password_hash(password_hash, password)
| 29.733333 | 87 | 0.70852 | 110 | 892 | 5.454545 | 0.290909 | 0.14 | 0.1 | 0.086667 | 0.263333 | 0.263333 | 0.263333 | 0.166667 | 0.166667 | 0.166667 | 0 | 0.016783 | 0.19843 | 892 | 29 | 88 | 30.758621 | 0.822378 | 0 | 0 | 0.380952 | 1 | 0 | 0.04148 | 0.034753 | 0 | 0 | 0 | 0 | 0 | 1 | 0.238095 | false | 0.47619 | 0.190476 | 0.095238 | 0.619048 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 |
883f223c5cfe6a9309871c7904089a6c1b06bd47 | 81 | py | Python | __init__.py | ASPDB/ASPDB-Data | 112bc9880068e4f9d100b1f40ee2b33533424cb8 | [
"Apache-2.0"
] | 1 | 2016-12-09T16:51:33.000Z | 2016-12-09T16:51:33.000Z | __init__.py | ASPDB/ASPDB-Data | 112bc9880068e4f9d100b1f40ee2b33533424cb8 | [
"Apache-2.0"
] | 4 | 2016-12-10T17:11:45.000Z | 2016-12-14T17:16:20.000Z | __init__.py | ASPDB/ASPDB-Data | 112bc9880068e4f9d100b1f40ee2b33533424cb8 | [
"Apache-2.0"
] | null | null | null | """
ASPDB®
======
A manually curated dedicated acid shock proteins database.
"""
| 13.5 | 58 | 0.679012 | 10 | 81 | 5.6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.148148 | 81 | 5 | 59 | 16.2 | 0.797101 | 0.888889 | 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 |
884bfa5c51a932929a7dfe8c047780c084742b9a | 58 | py | Python | apps/shop/utils/__init__.py | Zomba4okk/DjangoOnlinerLikeShop | 6f2bc8ca8072c6b3c69a79c33e448aa6c5be0f81 | [
"MIT"
] | null | null | null | apps/shop/utils/__init__.py | Zomba4okk/DjangoOnlinerLikeShop | 6f2bc8ca8072c6b3c69a79c33e448aa6c5be0f81 | [
"MIT"
] | 7 | 2021-02-20T13:17:16.000Z | 2021-04-17T18:43:25.000Z | apps/shop/utils/__init__.py | Zomba4okk/DjangoOnlinerLikeShop | 6f2bc8ca8072c6b3c69a79c33e448aa6c5be0f81 | [
"MIT"
] | null | null | null | # flake8: noqa
from .delta_util import (
DeltaUtil,
)
| 11.6 | 25 | 0.672414 | 7 | 58 | 5.428571 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022222 | 0.224138 | 58 | 4 | 26 | 14.5 | 0.822222 | 0.206897 | 0 | 0 | 0 | 0 | 0 | 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 |
88528d7ab0217fe5bbf2acb11218d967d4414c53 | 201 | py | Python | Models/__init__.py | austrian-code-wizard/Timeinator | f83351587d877a97611aa228787b9fed00d495d3 | [
"MIT"
] | null | null | null | Models/__init__.py | austrian-code-wizard/Timeinator | f83351587d877a97611aa228787b9fed00d495d3 | [
"MIT"
] | null | null | null | Models/__init__.py | austrian-code-wizard/Timeinator | f83351587d877a97611aa228787b9fed00d495d3 | [
"MIT"
] | null | null | null | from Models.models import User, Task, Interval
from Models.schema import UserSchema, TaskSchema, IntervalSchema
User.schema = UserSchema()
Task.schema = TaskSchema()
Interval.schema = IntervalSchema() | 33.5 | 64 | 0.80597 | 23 | 201 | 7.043478 | 0.434783 | 0.123457 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.104478 | 201 | 6 | 65 | 33.5 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.4 | 0 | 0.4 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 4 |
887cf5169da1874d50e9c798c371f03375f7214d | 759 | py | Python | independentreserve/__init__.py | MelchiSalins/pyindependentreserve | 91ffc6d9667fc08acf4eb0a2afcf942e480801cb | [
"MIT"
] | 18 | 2017-12-01T09:39:34.000Z | 2021-08-13T05:45:08.000Z | independentreserve/__init__.py | MelchiSalins/pyindependentreserve | 91ffc6d9667fc08acf4eb0a2afcf942e480801cb | [
"MIT"
] | 10 | 2017-09-03T08:27:37.000Z | 2021-07-01T05:53:04.000Z | independentreserve/__init__.py | MelchiSalins/pyindependentreserve | 91ffc6d9667fc08acf4eb0a2afcf942e480801cb | [
"MIT"
] | 13 | 2017-09-28T12:20:11.000Z | 2021-10-05T01:23:56.000Z | """
Independent Reserve features a JSON based API, that is comprised of Public and Private methods.
All API calls must be made over SSL to https://api.independentreserve.com .
Public methods do not require an authentication token and should be accessed via HTTP GET.
Private methods require a valid authentication token and must be accessed via HTTP POST.
Errors are returned to the caller as a HTTP 400 return code and a descriptive error message.
Ensure that the contentType of the your JSON POST request is set to 'application/json'.
Fiat currency amounts cannot have more than 2 decimal places, and XBT amounts cannot have more than 8 decimal places.
"""
from .public import *
from .authentication import *
from .private import *
from .websocket import * | 54.214286 | 117 | 0.795784 | 121 | 759 | 4.991736 | 0.595041 | 0.049669 | 0.072848 | 0.056291 | 0.082781 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007874 | 0.163373 | 759 | 14 | 118 | 54.214286 | 0.943307 | 0.857708 | 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 |
888d738a485baa93fc39cc81df747fbade1afe55 | 20,087 | py | Python | englishtobengali/entobn.py | jabedparadox/englishtobengali | bd28fca3583d297f114364450a8f1d5c100b8a27 | [
"MIT"
] | null | null | null | englishtobengali/entobn.py | jabedparadox/englishtobengali | bd28fca3583d297f114364450a8f1d5c100b8a27 | [
"MIT"
] | null | null | null | englishtobengali/entobn.py | jabedparadox/englishtobengali | bd28fca3583d297f114364450a8f1d5c100b8a27 | [
"MIT"
] | null | null | null | #!/usr/bin/python
#!/usr/bin/python3
#!/usr/bin/env python
#!/usr/bin/env python3
# -*- coding: utf8 -*-
# Python Web Based English To Bangla Translator (Google, Bing, Yandex, Baidu).
# Author :- Md Jabed Ali(jabed)
# Facebook :- https://www.facebook.com/paradox.jabed
# Github :- https://github.com/jabedparadox
import random
from json import loads
import requests
from bs4 import BeautifulSoup
import argparse
import re
#import aiohttp
#import asyncio
#import async_timeout
#from aiohttp import web
from json import loads
import json
import argparse
import os
import sys
import time
#from google.cloud import translate
#print("******************************** Md Jabed Ali(jabed) **********************************\n************************************ Translator ***************************************\n******** Example:- Translate to: Enter 1 for Afrikaans / Enter 2 for Albanian ********\n\n1-Afrikaans~af 2-Albanian~sq 3-Amharic~am 4-Arabic~ar 5-Armenian~hy\n6-Azerbaijani~az 7-Basque~eu 8-Belarusian~be 9-Bengali~bn 10-Bosnian~bs\n11-Bulgarian~bg 12-Catalan~ca 13-Cebuano~ceb 14-Chichewa~ny 15-Chinese~zh-CN\n16-Corsican~co 17-Croatian~hr 18-Czech~cs 19-Danish~da 20-Dutch~nl\n21-English~en 22-Esperanto~eo 23-Estonian~et 24-Filipino~tl 25-Finnish~fi\n26-French~fr 27-Frisian~fy 28-Galician~gl 29-Georgian~ka 30-German~de\n31-Greek~el 32-Gujarati~gu 33-Haitian Creole~ht 34-Hausa~ha 35-Hawaiian~haw\n36-Hebrew~iw 37-Hindi~hi 38-Hmong~hmn 39-Hungarian~hu 40-Icelandic~is\n41-Igbo~ig 42-Indonesian~id 43-Irish~ga 44-Italian~it 45-Japanese~ja\n46-Javanese~jw 47-Kannada~kn 48-Kazakh~kk 49-Khmer~km 50-Korean~ko\n51-Kurdish~ku 52-Kyrgyz~ky 53-Lao~lo 54-Latin~la 55-Latvian~lv\n56-Lithuanian~lt 57-Luxembourgish~lb 58-Macedonian~mk 59-Malagasy~mg 60-Malay~ms\n61-Malayalam~ml 62-Maltese~mt 63-Maori~mi 64-Marathi~mr 65-Mongolian~mn\n66-Myanmar~my 67-Nepali~ne 68-Norwegian~no 69-Pashto~ps 70-Persian~fa\n71-Polish~pl 72-Portuguese~pt 73-Punjabi~pa 74-Romanian~ro 75-Russian~ru\n76-Samoan~sm 77-Scots Gaelic~gd 78-Serbian~sr 79-Sesotho~st 80-Shona~sn\n81-Sindhi~sd 82-Sinhala~si 83-Slovak~sk 84-Slovenian~sl 85-Somali~so\n86-Spanish~es 87-Sundanese~su 88-Swahili~sw 89-Swedish~sv 90-Tajik~tg\n91-Tamil~ta 92-Telugu~te 93-Thai~th 94-Turkish~tr 95-Ukrainian~uk\n96-Urdu~ur 97-Uzbek~uz 98-Vietnamese~vi 99-Welsh~cy 100-Xhosa~xh\n101-Yiddish~yi 102-Yoruba~yo 103-Zulu~zu\n\n*********************************** Translator **************************************\n")
#print("******************************** Md Jabed Ali(jabed) **********************************\n*************************** English To Bengali Translator *****************************\n") # Example:- Translate to: Enter 1 for Afrikaans / Enter 2 for Albanian ********\n\n1-Afrikaans~af 2-Albanian~sq 3-Amharic~am 4-Arabic~ar 5-Armenian~hy\n6-Azerbaijani~az 7-Basque~eu 8-Belarusian~be 9-Bengali~bn 10-Bosnian~bs\n11-Bulgarian~bg 12-Catalan~ca 13-Cebuano~ceb 14-Chichewa~ny 15-Chinese~zh-CN\n16-Corsican~co 17-Croatian~hr 18-Czech~cs 19-Danish~da 20-Dutch~nl\n21-English~en 22-Esperanto~eo 23-Estonian~et 24-Filipino~tl 25-Finnish~fi\n26-French~fr 27-Frisian~fy 28-Galician~gl 29-Georgian~ka 30-German~de\n31-Greek~el 32-Gujarati~gu 33-Haitian Creole~ht 34-Hausa~ha 35-Hawaiian~haw\n36-Hebrew~iw 37-Hindi~hi 38-Hmong~hmn 39-Hungarian~hu 40-Icelandic~is\n41-Igbo~ig 42-Indonesian~id 43-Irish~ga 44-Italian~it 45-Japanese~ja\n46-Javanese~jw 47-Kannada~kn 48-Kazakh~kk 49-Khmer~km 50-Korean~ko\n51-Kurdish~ku 52-Kyrgyz~ky 53-Lao~lo 54-Latin~la 55-Latvian~lv\n56-Lithuanian~lt 57-Luxembourgish~lb 58-Macedonian~mk 59-Malagasy~mg 60-Malay~ms\n61-Malayalam~ml 62-Maltese~mt 63-Maori~mi 64-Marathi~mr 65-Mongolian~mn\n66-Myanmar~my 67-Nepali~ne 68-Norwegian~no 69-Pashto~ps 70-Persian~fa\n71-Polish~pl 72-Portuguese~pt 73-Punjabi~pa 74-Romanian~ro 75-Russian~ru\n76-Samoan~sm 77-Scots Gaelic~gd 78-Serbian~sr 79-Sesotho~st 80-Shona~sn\n81-Sindhi~sd 82-Sinhala~si 83-Slovak~sk 84-Slovenian~sl 85-Somali~so\n86-Spanish~es 87-Sundanese~su 88-Swahili~sw 89-Swedish~sv 90-Tajik~tg\n91-Tamil~ta 92-Telugu~te 93-Thai~th 94-Turkish~tr 95-Ukrainian~uk\n96-Urdu~ur 97-Uzbek~uz 98-Vietnamese~vi 99-Welsh~cy 100-Xhosa~xh\n101-Yiddish~yi 102-Yoruba~yo 103-Zulu~zu\n\n*********************************** Translator **************************************\n")
# Different headers.
def random_useragent():
#http://useragentstring.com/pages/useragentstring.php
url = "https://fake-useragent.herokuapp.com/browsers/0.1.8"
r = requests.get(url)
randomuseragent = loads(r.text)['browsers']
#print(random.choice(randomuseragent[random.choice(list(randomuseragent))]))
return random.choice(randomuseragent[random.choice(list(randomuseragent))])
u_a = random_useragent()
headers = {'User-Agent': u_a,
#'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36',
#':authority': 'translate.google.com',
#':scheme': 'https',
'X-Requested-With': 'XMLHttpRequest',
'Upgrade-Insecure-Requests': '1',
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,application/json,image/apng,*/*;q=0.8',
'Accept-Encoding': 'gzip, deflate, br',
#'Origin': ' ',
#'Host': ' ',
}
# Possible spell error.
def pssible_error():
url_pssible_error = 'https://api.languagetool.org/v2/check?instanceId=19644:1556175692778?disabledRules=WHITESPACE_RULE,FRENCH_WHITESPACE&allowIncompleteResults=true&enableHiddenRules=true&useragent=ltorg&text=Thre is so sorce&language=auto&altLanguages=en-US&textSessionId=19644:1556175692778'
res_pssible_error = requests.get(url_pssible_error, headers=headers).text
rslt_pssible_error = json.loads(res_pssible_error)
rslt0_pssible_error = rslt_pssible_error['matches']
rslt1_pssible_error = [str(re.findall('{\'value\': \'(.*?)\'', str(i['replacements']), re.DOTALL)).replace('\'', '') for i in rslt0_pssible_error]
return rslt1_pssible_error
# With aiohttp.
async def get_session(session, url):
with async_timeout.timeout(5):
async with session.get(url) as response:
return await response.text()
# With aiohttp.
'''async def init_get():
app = web.Application()
app.router.add_route('GET', '/{name}', handle)
return await loop.create_server(
app._make_handler(), '127.0.0.1', 8080)'''
# With aiohttp.
#url =['', '']
async def get_main():
async with aiohttp.ClientSession() as session:
resp = await get_session(session, 'https://www.-.com')
return web.Response(text=resp)
#session.close()
# Which lang.
def translateto():
while True:
trnslt_to = input("Translate to: ")
if trnslt_to.isdigit():
return trnslt_to
break
else:
print ("Enter a digit.")
# Translating frm baidu.
#def baidu_translate():
#trnslt_to = input("Translate to: ")
# Multiple item extend.
def mltipl(lst, *elmnt):
lst.extend(elmnt)
# Translating frm bing.
def bing_translate(frm_bing, to_bing):
trnslt_to = translateto()
bing_param = {'text': '',
'from': 'en',
'to': 'bn'
}
bing_param_detect = {'text': ''}
url_bing = 'https://www.bing.com/ttranslate?&category=&IG=D458B762C9184506AF3108AE1F0CDA26&IID=translator.5036.3'
url_bing_detect = requests.post('https://www.bing.com/tdetect?&IG=103CA78C8D314209BCF33D5EC2D6FC56&IID=translator.5036.1', data=bing_param_detect, headers=headers).text
res_bing = requests.post(url_bing, data=bing_param, headers=headers).text
return res_bing
# English to Bengali.
def en_bn(word_en=None):
url0_en_bn = 'https://translate.googleapis.com/translate_a/single?client=gtx&sl=auto&tl=bn&dt=t&q=' + word_en.title()
res0_en_bn = requests.get(url0_en_bn, headers=headers).text
yandex_param = {'text': word_en.title(),
'from': '4'
}
url_yandex = 'https://translate.yandex.net/api/v1/tr.json/translate?id=6d3ae0b0.5cbf4919.6cddeec8-4-0&srv=tr-text&lang=en-bn&reason=auto'
res_yandex = requests.post(url_yandex, data=yandex_param, headers=headers).text
try:
#bing_param_detect = {'text': word_en}
#url_bing_detect = requests.post('https://www.bing.com/tdetect?&IG=103CA78C8D314209BCF33D5EC2D6FC56&IID=translator.5036.1', data=bing_param_detect, headers=headers, timeout=3).text
bing_param = {'text': word_en.title(),
'from': 'en',
#'to': tl.split('~')[-1]
'to': 'bn'
}
url_bing = 'https://www.bing.com/ttranslate?&category=&IG=D458B762C9184506AF3108AE1F0CDA26&IID=translator.5036.3'
res_bing = requests.post(url_bing, data=bing_param, headers=headers, timeout=3).text
except (IndexError, ValueError):
res_bing = "na"
try:
rslt_bing = re.findall('"(.*?)"', str(res_bing), re.DOTALL)[-1]
except (IndexError, ValueError):
rslt_bing = 'Null'
try:
rslt_yandex = re.findall('"(.*?)"', str(res_yandex), re.DOTALL)[-1]
except (IndexError, ValueError):
rslt_yandex = 'Null'
try:
rslt_en_bn = re.findall('"(.*?)"', str(res0_en_bn), re.DOTALL)[0]
except (IndexError, ValueError):
rslt_en_bn = 'Null'
rslt_final = []
#rslt_final.append(str(rslt_en_bn+rslt_yandex+rslt_bing))
#mltipl(rslt_en_bn, rslt_yandex, rslt_bing)
rslt_final = rslt_en_bn + ', ' + rslt_yandex + ', ' + rslt_bing
return rslt_final
# Bengali to English.
def bn_en(word_bn=None):
while True:
url0_bn_en = 'https://translate.googleapis.com/translate_a/single?client=gtx&sl=auto&tl=en&dt=t&q=' + word_bn.title()
res0_bn_en = requests.get(url0_bn_en, headers=headers).text
yandex_param = {'text': word_bn.title(),
'from': '4'
}
url_yandex = 'https://translate.yandex.net/api/v1/tr.json/translate?id=6d3ae0b0.5cbf4919.6cddeec8-4-0&srv=tr-text&lang=bn-en&reason=auto'
res_yandex = requests.post(url_yandex, data=yandex_param, headers=headers).text
try:
#bing_param_detect = {'text': word_en}
#url_bing_detect = requests.post('https://www.bing.com/tdetect?&IG=103CA78C8D314209BCF33D5EC2D6FC56&IID=translator.5036.1', data=bing_param_detect, headers=headers, timeout=3).text
bing_param = {'text': word_bn.title(),
'from': 'bn',
#'to': tl.split('~')[-1]
'to': 'en'
}
url_bing = 'https://www.bing.com/ttranslate?&category=&IG=D458B762C9184506AF3108AE1F0CDA26&IID=translator.5036.3'
res_bing = requests.post(url_bing, data=bing_param, headers=headers, timeout=3).text
except (IndexError, ValueError):
res_bing = "na"
try:
rslt_bing = re.findall('"(.*?)"', str(res_bing), re.DOTALL)[-1]
except (IndexError, ValueError):
rslt_bing = 'Null'
try:
rslt_yandex = re.findall('"(.*?)"', str(res_yandex), re.DOTALL)[-1]
except (IndexError, ValueError):
rslt_yandex = 'Null'
try:
rslt_en_bn = re.findall('"(.*?)"', str(res0_bn_en), re.DOTALL)[0]
except (IndexError, ValueError):
rslt_en_bn = 'Null'
rslt_final = []
#rslt_final.append(str(rslt_en_bn+rslt_yandex+rslt_bing))
#mltipl(rslt_en_bn, rslt_yandex, rslt_bing)
rslt_final = rslt_en_bn + ', ' + rslt_yandex + ', ' + rslt_bing
return rslt_final
# Translating frm googel.
def translate_bengali(inputtext=None):
while True:
#trnslt_to = translateto()
#trnslt_to = input("Translate to: ")
'''if trnslt_to == '1':
tl = 'Afrikaans~af'
elif trnslt_to == '2':
tl = 'Albanian~sq'
elif trnslt_to == '3':
tl = 'Amharic~am'
elif trnslt_to == '4':
tl = 'Arabic~ar'
elif trnslt_to == '5':
tl = 'Armenian~hy'
elif trnslt_to == '6':
tl = 'Azerbaijani~az'
elif trnslt_to == '7':
tl = 'Basque~eu'
elif trnslt_to == '8':
tl = 'Belarusian~be'
elif trnslt_to == '9':
tl = 'Bengali~bn'
elif trnslt_to == '10':
tl = 'Bosnian~bs'
elif trnslt_to == '21':
tl = 'en'
'''
while True:
if inputtext==None:
inputtext = input("Enter Text: ").title()
url = 'https://api.languagetool.org/v2/check?instanceId=19644:1556175692778?disabledRules=WHITESPACE_RULE,FRENCH_WHITESPACE&allowIncompleteResults=true&enableHiddenRules=true&useragent=ltorg&text=' + inputtext + '&language=auto&altLanguages=en-US&textSessionId=19644:1556175692778'
res_pssible_error = requests.get(url, headers=headers).text
rslt_pssible_error = json.loads(res_pssible_error)
if 'misspelling' in str(rslt_pssible_error):
#print(json.dumps(rslt_pssible_error, indent = 4, sort_keys=True))
rslt0_pssible_error = rslt_pssible_error['matches']
rslt1_pssible_error = [str(re.findall('{\'value\': \'(.*?)\'', str(i['replacements']), re.DOTALL)).replace('\'', '') for i in rslt0_pssible_error]
print ('Possible spelling mistake. Correction :' + str(rslt1_pssible_error))
else:
break
# Bing.
try:
bing_param_detect = {'text': inputtext}
url_bing_detect = requests.post('https://www.bing.com/tdetect?&IG=103CA78C8D314209BCF33D5EC2D6FC56&IID=translator.5036.1', data=bing_param_detect, headers=headers, timeout=3).text
bing_param = {'text': inputtext,
'from': url_bing_detect,
#'to': tl.split('~')[-1]
'to': 'bn'
}
url_bing = 'https://www.bing.com/ttranslate?&category=&IG=D458B762C9184506AF3108AE1F0CDA26&IID=translator.5036.3'
res_bing = requests.post(url_bing, data=bing_param, headers=headers, timeout=3).text
except:
res_bing = "na"
try:
rslt_bing = '\n' + "From Bing : " + inputtext + ' <-> ' + re.findall('"(.*?)"', str(res_bing), re.DOTALL)[-1]
except (IndexError, ValueError):
rslt_bing = "From Bing : " + 'Null'
# Yandex.
yandex_param = {'text': inputtext,
'from': '4'
}
url_yandex = 'https://translate.yandex.net/api/v1/tr.json/translate?id=6d3ae0b0.5cbf4919.6cddeec8-4-0&srv=tr-text&lang=en-bn&reason=auto'
res_yandex = requests.post(url_yandex, data=yandex_param, headers=headers).text
try:
rslt_yandex = "From Yandex : " + inputtext + ' <-> ' + re.findall('"(.*?)"', str(res_yandex), re.DOTALL)[-1]
except (IndexError, ValueError):
rslt_yandex = "From Yandex : " + 'Null'
# Google.
url = 'https://translate.googleapis.com/translate_a/single?client=gtx&sl=auto&tl=bn&dt=t&q=' + inputtext
res = requests.get(url, headers=headers).text
#print ("Translating to " + tl.split('~')[0] + " .....")
#print ("Translating To Bengali .....")
try:
rslt_google = "From Google : " + inputtext + ' <-> ' + re.findall('"(.*?)"', str(res), re.DOTALL)[0]
except (IndexError, ValueError):
rslt_google = "From Google : " + 'Null'
# Baidu.
#url_baidu = 'https://api.fanyi.baidu.com'
rslt_baidu = "From Baidu : " + 'Null'
#print ('\n' + "From Googel: " + inputtext + ' <-> ' + re.findall('"(.*?)"', str(res), re.DOTALL)[0] + '\n' + "From Bing : " + inputtext + ' <-> ' + re.findall('"(.*?)"', str(res_bing), re.DOTALL)[-1] + '\n' + "From Yandex: " + inputtext + ' <-> ' + re.findall('"(.*?)"', str(res_yandex), re.DOTALL)[-1] + '\n')
#print (rslt_bing + '\n' + rslt_yandex + '\n' + rslt_google + '\n' + rslt_baidu + '\n')
rslt_final = rslt_bing + '\n' + rslt_yandex + '\n' + rslt_google + '\n' + rslt_baidu + '\n'
return rslt_final
#if inputtext!==None:
agn = input("Want to translate again? (Y/N): ")
if agn == 'Y':
pass
else:
sys.exit()
#if __name__ == '__main__':
#googel_translate()
'''print("1-Afrikaans~af 2-Albanian~sq 3-Amharic~am 4-Arabic~ar 5-Armenian~hy
6-Azerbaijani~az 7-Basque~eu 8-Belarusian~be 9-Bengali~bn 10-Bosnian~bs
11-Bulgarian~bg 12-Catalan~ca 13-Cebuano~ceb 14-Chichewa~ny 15-Chinese~zh-CN
16-Corsican~co 17-Croatian~hr 18-Czech~cs 19-Danish~da 20-Dutch~nl
21-English~en 22-Esperanto~eo 23-Estonian~et 24-Filipino~tl 25-Finnish~fi
26-French~fr 27-Frisian~fy 28-Galician~gl 29-Georgian~ka 30-German~de
31-Greek~el 32-Gujarati~gu 33-Haitian Creole~ht 34-Hausa~ha 35-Hawaiian~haw
36-Hebrew~iw 37-Hindi~hi 38-Hmong~hmn 39-Hungarian~hu 40-Icelandic~is
41-Igbo~ig 42-Indonesian~id 43-Irish~ga 44-Italian~it 45-Japanese~ja
46-Javanese~jw 47-Kannada~kn 48-Kazakh~kk 49-Khmer~km 50-Korean~ko
51-Kurdish~ku 52-Kyrgyz~ky 53-Lao~lo 54-Latin~la 55-Latvian~lv
56-Lithuanian~lt 57-Luxembourgish~lb 58-Macedonian~mk 59-Malagasy~mg 60-Malay~ms
61-Malayalam~ml 62-Maltese~mt 63-Maori~mi 64-Marathi~mr 65-Mongolian~mn
66-Myanmar~my 67-Nepali~ne 68-Norwegian~no 69-Pashto~ps 70-Persian~fa
71-Polish~pl 72-Portuguese~pt 73-Punjabi~pa 74-Romanian~ro 75-Russian~ru
76-Samoan~sm 77-Scots Gaelic~gd 78-Serbian~sr 79-Sesotho~st 80-Shona~sn
81-Sindhi~sd 82-Sinhala~si 83-Slovak~sk 84-Slovenian~sl 85-Somali~so
86-Spanish~es 87-Sundanese~su 88-Swahili~sw 89-Swedish~sv 90-Tajik~tg
91-Tamil~ta 92-Telugu~te 93-Thai~th 94-Turkish~tr 95-Ukrainian~uk
96-Urdu~ur 97-Uzbek~uz 98-Vietnamese~vi 99-Welsh~cy 100-Xhosa~xh
101-Yiddish~yi 102-Yoruba~yo 103-Zulu~zu")'''
| 63.365931 | 2,199 | 0.569423 | 2,538 | 20,087 | 4.402679 | 0.228526 | 0.022552 | 0.012887 | 0.013424 | 0.73671 | 0.727045 | 0.716306 | 0.696617 | 0.68203 | 0.68203 | 0 | 0.070478 | 0.274556 | 20,087 | 316 | 2,200 | 63.566456 | 0.696335 | 0.345447 | 0 | 0.463277 | 0 | 0.045198 | 0.25598 | 0.027074 | 0.028249 | 0 | 0 | 0 | 0 | 1 | 0.045198 | false | 0.00565 | 0.067797 | 0 | 0.163842 | 0.011299 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
889630bf02fd88370a17c78c7cc4b290d4688774 | 1,513 | py | Python | flax_models/bert/run_classifier_test.py | deepneuralmachine/google-research | d2ce2cf0f5c004f8d78bfeddf6e88e88f4840231 | [
"Apache-2.0"
] | 7 | 2021-06-15T05:54:29.000Z | 2022-02-21T06:57:06.000Z | flax_models/bert/run_classifier_test.py | deepneuralmachine/google-research | d2ce2cf0f5c004f8d78bfeddf6e88e88f4840231 | [
"Apache-2.0"
] | 12 | 2021-08-25T16:15:31.000Z | 2022-02-10T05:10:37.000Z | flax_models/bert/run_classifier_test.py | deepneuralmachine/google-research | d2ce2cf0f5c004f8d78bfeddf6e88e88f4840231 | [
"Apache-2.0"
] | 5 | 2021-11-25T07:40:17.000Z | 2022-03-22T11:13:39.000Z | # coding=utf-8
# Copyright 2021 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Tests for flax_models.bert.run_classifier."""
from absl.testing import absltest
import tensorflow as tf
from flax_models.bert import run_classifier
from flax_models.bert.configs import classification as default_config
class RunClassifierTest(absltest.TestCase):
def setUp(self):
super().setUp()
# Make sure tf does not allocate gpu memory.
tf.config.experimental.set_visible_devices([], 'GPU')
def test_create_model(self):
"""Tests creating model."""
run_classifier.create_model(default_config.get_config())
def test_train_and_evaluate(self):
# TODO(marcvanzee): Write a test for this.
# We have to refactor the code somewhat in order to test this, since it
# currently is too slow to run on CPU, and if we are using the py3_test
# build rule then we cannot read the vocab and checkpoint from CNS.
pass
if __name__ == '__main__':
absltest.main()
| 33.622222 | 75 | 0.750165 | 229 | 1,513 | 4.842795 | 0.60262 | 0.054103 | 0.037872 | 0.028855 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007994 | 0.173166 | 1,513 | 44 | 76 | 34.386364 | 0.878497 | 0.617317 | 0 | 0 | 0 | 0 | 0.02 | 0 | 0 | 0 | 0 | 0.022727 | 0 | 1 | 0.214286 | false | 0.071429 | 0.285714 | 0 | 0.571429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 |
889ef2572807e042465ce43d61bf963580218897 | 42 | py | Python | pyexcel_xlsxr/_version.py | mobanbot/pyexcel-xlsxr | d9e53b6d773b6e35ee48c9d460cb8baf36eef797 | [
"BSD-3-Clause"
] | null | null | null | pyexcel_xlsxr/_version.py | mobanbot/pyexcel-xlsxr | d9e53b6d773b6e35ee48c9d460cb8baf36eef797 | [
"BSD-3-Clause"
] | null | null | null | pyexcel_xlsxr/_version.py | mobanbot/pyexcel-xlsxr | d9e53b6d773b6e35ee48c9d460cb8baf36eef797 | [
"BSD-3-Clause"
] | null | null | null | __version__ = '0.5.2'
__author__ = 'C.W.'
| 14 | 21 | 0.619048 | 7 | 42 | 2.571429 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.083333 | 0.142857 | 42 | 2 | 22 | 21 | 0.416667 | 0 | 0 | 0 | 0 | 0 | 0.214286 | 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 |
88a54b0805ca261a699ad2360ff913f87c9269b5 | 38,251 | py | Python | python/examples/Colormapping_Backup.py | Tornadiz/LOGO_Colormapping | 9bab54899f3afa3c6147277e3feea82eaf86c596 | [
"BSD-2-Clause"
] | null | null | null | python/examples/Colormapping_Backup.py | Tornadiz/LOGO_Colormapping | 9bab54899f3afa3c6147277e3feea82eaf86c596 | [
"BSD-2-Clause"
] | null | null | null | python/examples/Colormapping_Backup.py | Tornadiz/LOGO_Colormapping | 9bab54899f3afa3c6147277e3feea82eaf86c596 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python3
# rpi_ws281x library Colormapping
# Author: Norbert Karpen
#
# To map specific LED strip locations to a color gradient
#
import time
from rpi_ws281x import *
import argparse
import numpy as np
import copy
# LED strip configuration:
LED_COUNT = 130 # Number of LED pixels.
LED_PIN = 18 # GPIO pin connected to the pixels (18 uses PWM!).
#LED_PIN = 10 # GPIO pin connected to the pixels (10 uses SPI /dev/spidev0.0).
LED_FREQ_HZ = 800000 # LED signal frequency in hertz (usually 800khz)
LED_DMA = 10 # DMA channel to use for generating signal (try 10)
LED_BRIGHTNESS = 255 # Set to 0 for darkest and 255 for brightest
LED_INVERT = False # True to invert the signal (when using NPN transistor level shift)
LED_CHANNEL = 0 # set to '1' for GPIOs 13, 19, 41, 45 or 53
# Gradient settings
gradient_map_original = [[1, (184, 52, 138)], [2, (185, 53, 139)], [3, (187, 55, 139)], [4, (188, 56, 140)], [5, (191, 60, 140)], [6, (192, 61, 139)], [7, (192, 61, 139)], [8, (194, 63, 139)], [9, (194, 63, 139)], [10, (196, 66, 140)], [11, (196, 65, 141)], [12, (196, 66, 140)], [13, (195, 64, 140)], [14, (193, 62, 140)], [15, (190, 58, 141)], [16, (185, 53, 139)], [17, (177, 46, 139)], [18, (170, 40, 140)], [19, (165, 42, 146)], [20, (162, 47, 151)], [21, (156, 50, 158)], [22, (151, 55, 165)], [23, (147, 59, 171)], [24, (140, 63, 179)], [25, (134, 66, 185)], [26, (127, 69, 189)], [27, (116, 70, 194)], [28, (108, 74, 197)], [29, (103, 74, 200)], [30, (97, 75, 201)], [31, (96, 75, 202)], [32, (92, 75, 203)], [33, (91, 76, 203)], [34, (91, 76, 205)], [35, (89, 77, 205)], [36, (88, 77, 205)], [37, (88, 77, 205)], [38, (87, 78, 207)], [39, (85, 78, 207)], [40, (84, 79, 208)], [41, (81, 78, 207)], [42, (80, 79, 207)], [43, (79, 79, 209)], [44, (76, 81, 211)], [45, (73, 80, 210)], [46, (72, 81, 212)], [47, (71, 81, 213)], [48, (65, 82, 214)], [49, (64, 82, 216)], [50, (60, 83, 215)], [51, (61, 80, 209)], [52, (58, 79, 206)], [53, (57, 75, 199)], [54, (55, 74, 194)], [55, (54, 71, 187)], [56, (53, 69, 182)], [57, (53, 65, 173)], [58, (50, 63, 168)], [59, (49, 61, 163)], [60, (49, 57, 155)], [61, (46, 55, 148)], [62, (54, 73, 191)], [63, (56, 74, 198)], [64, (57, 77, 202)], [65, (59, 80, 208)], [66, (59, 82, 214)], [67, (65, 83, 217)], [68, (65, 82, 214)], [69, (71, 81, 213)], [70, (73, 80, 212)], [71, (79, 79, 209)], [72, (81, 78, 209)], [73, (85, 78, 207)], [74, (89, 77, 205)], [75, (92, 75, 203)], [76, (96, 75, 202)], [77, (97, 75, 201)], [78, (99, 74, 201)], [79, (104, 74, 198)], [80, (105, 73, 198)], [81, (108, 74, 197)], [82, (138, 65, 182)], [83, (137, 66, 184)], [84, (135, 66, 183)], [85, (136, 67, 186)], [86, (133, 68, 186)], [87, (132, 68, 188)], [88, (129, 68, 187)], [89, (128, 69, 189)], [90, (123, 69, 189)], [91, (120, 70, 193)], [92, (115, 71, 192)], [93, (111, 71, 194)], [94, (109, 73, 197)], [95, (104, 74, 198)], [96, (102, 76, 201)], [97, (96, 74, 200)], [98, (95, 76, 202)], [99, (89, 77, 205)], [100, (136, 65, 183)], [101, (139, 66, 183)], [102, (139, 65, 180)], [103, (141, 62, 177)], [104, (144, 61, 175)], [105, (143, 60, 174)], [106, (145, 58, 171)], [107, (146, 58, 170)], [108, (146, 57, 167)], [109, (150, 56, 168)], [110, (151, 55, 165)], [111, (151, 55, 165)], [112, (151, 55, 165)], [113, (152, 54, 163)], [114, (152, 54, 163)], [115, (151, 53, 162)], [116, (167, 42, 146)], [117, (166, 43, 147)], [118, (165, 44, 147)], [119, (165, 44, 147)], [120, (165, 44, 147)], [121, (165, 44, 149)], [122, (164, 45, 149)], [123, (164, 45, 147)], [124, (163, 46, 150)], [125, (162, 47, 151)], [126, (160, 47, 153)], [127, (159, 48, 153)], [128, (157, 50, 156)], [129, (157, 50, 156)], [130, (155, 52, 161)]]
gradient_maps_list = [[[1, (1, 155, 193)], [2, (0, 184, 210)], [3, (0, 218, 227)], [4, (1, 230, 233)], [5, (0, 239, 236)], [6, (0, 237, 243)], [7, (0, 237, 249)], [8, (0, 254, 254)], [9, (1, 255, 253)], [10, (1, 255, 253)], [11, (1, 255, 253)], [12, (1, 255, 253)], [13, (1, 255, 253)], [14, (1, 255, 253)], [15, (1, 255, 253)], [16, (1, 255, 253)], [17, (1, 255, 253)], [18, (0, 255, 251)], [19, (0, 255, 251)], [20, (0, 255, 249)], [21, (0, 254, 243)], [22, (0, 254, 226)], [23, (0, 255, 199)], [24, (0, 255, 171)], [25, (0, 255, 151)], [26, (83, 255, 138)], [27, (187, 255, 134)], [28, (247, 240, 133)], [29, (255, 202, 124)], [30, (255, 160, 116)], [31, (255, 123, 102)], [32, (255, 103, 92)], [33, (255, 89, 81)], [34, (255, 80, 65)], [35, (255, 76, 53)], [36, (255, 77, 31)], [37, (254, 81, 25)], [38, (255, 85, 26)], [39, (255, 89, 29)], [40, (255, 96, 12)], [41, (254, 100, 2)], [42, (255, 102, 6)], [43, (255, 86, 79)], [44, (250, 9, 140)], [45, (255, 0, 194)], [46, (255, 0, 218)], [47, (255, 0, 242)], [48, (255, 0, 252)], [49, (255, 0, 254)], [50, (255, 0, 254)], [51, (255, 0, 254)], [52, (240, 0, 255)], [53, (225, 0, 254)], [54, (221, 0, 254)], [55, (221, 0, 254)], [56, (220, 0, 255)], [57, (220, 0, 254)], [58, (220, 0, 255)], [59, (220, 0, 255)], [60, (220, 0, 254)], [61, (220, 0, 255)], [62, (191, 0, 254)], [63, (191, 0, 254)], [64, (190, 0, 255)], [65, (187, 0, 255)], [66, (179, 0, 254)], [67, (145, 0, 255)], [68, (119, 0, 254)], [69, (194, 0, 255)], [70, (255, 0, 254)], [71, (247, 0, 255)], [72, (234, 0, 255)], [73, (216, 1, 255)], [74, (194, 0, 255)], [75, (177, 0, 255)], [76, (164, 0, 255)], [77, (146, 0, 255)], [78, (142, 1, 255)], [79, (132, 0, 255)], [80, (117, 9, 253)], [81, (0, 158, 188)], [82, (0, 175, 240)], [83, (0, 178, 238)], [84, (0, 178, 229)], [85, (1, 153, 176)], [86, (1, 94, 83)], [87, (5, 27, 15)], [88, (26, 5, 20)], [89, (2, 50, 0)], [90, (1, 95, 81)], [91, (0, 121, 142)], [92, (0, 125, 173)], [93, (28, 114, 201)], [94, (88, 96, 223)], [95, (126, 73, 239)], [96, (152, 57, 249)], [97, (179, 35, 254)], [98, (200, 30, 251)], [99, (195, 36, 253)], [100, (1, 75, 74)], [101, (0, 59, 34)], [102, (20, 37, 1)], [103, (28, 13, 8)], [104, (31, 0, 10)], [105, (25, 11, 10)], [106, (0, 41, 0)], [107, (0, 71, 57)], [108, (0, 99, 114)], [109, (0, 126, 161)], [110, (0, 147, 199)], [111, (1, 160, 225)], [112, (0, 170, 242)], [113, (0, 170, 245)], [114, (0, 172, 241)], [115, (0, 173, 242)], [116, (1, 255, 253)], [117, (1, 255, 253)], [118, (0, 244, 254)], [119, (0, 241, 252)], [120, (0, 248, 250)], [121, (1, 228, 244)], [122, (0, 204, 229)], [123, (0, 176, 215)], [124, (0, 145, 190)], [125, (1, 117, 158)], [126, (0, 93, 123)], [127, (0, 72, 81)], [128, (0, 49, 38)], [129, (2, 30, 7)], [130, (23, 13, 11)]], [[1, (27, 210, 104)], [2, (31, 214, 108)], [3, (33, 216, 112)], [4, (35, 215, 116)], [5, (41, 220, 120)], [6, (43, 221, 123)], [7, (42, 222, 125)], [8, (46, 224, 128)], [9, (46, 226, 129)], [10, (49, 226, 135)], [11, (54, 227, 137)], [12, (49, 226, 135)], [13, (47, 226, 132)], [14, (45, 223, 127)], [15, (40, 218, 120)], [16, (30, 213, 107)], [17, (18, 205, 90)], [18, (2, 192, 66)], [19, (15, 186, 58)], [20, (29, 176, 44)], [21, (41, 169, 30)], [22, (74, 179, 37)], [23, (97, 187, 40)], [24, (122, 199, 45)], [25, (143, 209, 49)], [26, (163, 214, 51)], [27, (178, 220, 50)], [28, (195, 224, 54)], [29, (208, 231, 55)], [30, (215, 232, 55)], [31, (221, 234, 56)], [32, (224, 235, 53)], [33, (227, 237, 54)], [34, (231, 239, 55)], [35, (230, 238, 56)], [36, (233, 238, 57)], [37, (234, 237, 58)], [38, (238, 242, 57)], [39, (237, 241, 56)], [40, (241, 243, 56)], [41, (244, 243, 57)], [42, (249, 243, 57)], [43, (248, 243, 55)], [44, (250, 236, 51)], [45, (253, 238, 51)], [46, (253, 232, 45)], [47, (255, 226, 42)], [48, (255, 220, 40)], [49, (255, 214, 40)], [50, (254, 206, 34)], [51, (255, 210, 28)], [52, (251, 206, 27)], [53, (245, 198, 24)], [54, (241, 188, 24)], [55, (237, 181, 26)], [56, (229, 175, 23)], [57, (222, 167, 25)], [58, (218, 162, 27)], [59, (212, 153, 27)], [60, (206, 147, 31)], [61, (198, 138, 28)], [62, (238, 182, 23)], [63, (241, 188, 22)], [64, (249, 197, 25)], [65, (255, 204, 25)], [66, (255, 205, 32)], [67, (253, 211, 37)], [68, (254, 219, 39)], [69, (255, 228, 43)], [70, (255, 238, 47)], [71, (249, 244, 56)], [72, (245, 244, 56)], [73, (239, 241, 56)], [74, (233, 237, 56)], [75, (225, 237, 53)], [76, (220, 233, 55)], [77, (217, 235, 55)], [78, (212, 233, 54)], [79, (205, 227, 54)], [80, (203, 227, 51)], [81, (200, 229, 53)], [82, (131, 202, 46)], [83, (135, 205, 47)], [84, (138, 205, 47)], [85, (142, 208, 48)], [86, (143, 209, 47)], [87, (149, 209, 49)], [88, (153, 211, 47)], [89, (158, 213, 49)], [90, (166, 214, 50)], [91, (176, 219, 51)], [92, (181, 218, 52)], [93, (190, 222, 51)], [94, (198, 226, 54)], [95, (203, 227, 53)], [96, (211, 232, 53)], [97, (215, 233, 53)], [98, (221, 234, 56)], [99, (230, 238, 57)], [100, (137, 204, 46)], [101, (130, 204, 45)], [102, (125, 199, 44)], [103, (116, 195, 41)], [104, (107, 193, 40)], [105, (104, 188, 40)], [106, (99, 189, 40)], [107, (91, 187, 36)], [108, (90, 181, 41)], [109, (79, 181, 35)], [110, (76, 181, 37)], [111, (75, 180, 35)], [112, (73, 178, 36)], [113, (68, 177, 36)], [114, (67, 176, 33)], [115, (66, 175, 34)], [116, (11, 186, 59)], [117, (14, 185, 55)], [118, (17, 184, 55)], [119, (16, 183, 52)], [120, (18, 181, 52)], [121, (18, 181, 52)], [122, (17, 180, 51)], [123, (22, 181, 52)], [124, (25, 181, 48)], [125, (27, 176, 46)], [126, (30, 175, 36)], [127, (31, 171, 36)], [128, (38, 170, 32)], [129, (39, 167, 31)], [130, (50, 171, 32)]], [[1, (149, 225, 2)], [2, (156, 229, 2)], [3, (166, 232, 2)], [4, (175, 235, 0)], [5, (181, 238, 1)], [6, (189, 239, 0)], [7, (194, 243, 1)], [8, (200, 246, 0)], [9, (206, 248, 0)], [10, (213, 249, 1)], [11, (216, 251, 1)], [12, (220, 253, 0)], [13, (220, 253, 0)], [14, (220, 253, 0)], [15, (221, 254, 1)], [16, (221, 254, 1)], [17, (221, 254, 1)], [18, (220, 253, 0)], [19, (219, 251, 0)], [20, (214, 251, 0)], [21, (207, 247, 0)], [22, (199, 244, 1)], [23, (187, 240, 0)], [24, (176, 236, 1)], [25, (163, 231, 0)], [26, (149, 225, 2)], [27, (134, 219, 2)], [28, (118, 212, 2)], [29, (104, 207, 2)], [30, (89, 201, 3)], [31, (74, 195, 4)], [32, (62, 191, 3)], [33, (51, 185, 4)], [34, (39, 180, 5)], [35, (29, 175, 6)], [36, (19, 170, 5)], [37, (12, 166, 6)], [38, (4, 162, 7)], [39, (0, 157, 6)], [40, (0, 152, 8)], [41, (0, 145, 10)], [42, (0, 139, 12)], [43, (0, 133, 14)], [44, (0, 127, 16)], [45, (0, 121, 18)], [46, (0, 115, 20)], [47, (0, 110, 23)], [48, (0, 104, 25)], [49, (0, 99, 27)], [50, (0, 95, 29)], [51, (1, 92, 31)], [52, (0, 91, 30)], [53, (0, 95, 31)], [54, (1, 98, 29)], [55, (0, 102, 26)], [56, (0, 108, 23)], [57, (0, 115, 22)], [58, (0, 121, 20)], [59, (0, 128, 15)], [60, (0, 138, 13)], [61, (0, 144, 10)], [62, (1, 124, 18)], [63, (0, 117, 20)], [64, (0, 112, 22)], [65, (1, 105, 26)], [66, (0, 101, 27)], [67, (0, 97, 28)], [68, (0, 95, 29)], [69, (0, 95, 31)], [70, (0, 96, 29)], [71, (0, 99, 27)], [72, (0, 102, 26)], [73, (0, 108, 23)], [74, (0, 113, 21)], [75, (0, 118, 21)], [76, (0, 123, 17)], [77, (1, 129, 16)], [78, (0, 135, 14)], [79, (0, 141, 11)], [80, (0, 146, 9)], [81, (0, 152, 8)], [82, (45, 182, 4)], [83, (35, 177, 5)], [84, (26, 173, 5)], [85, (18, 169, 6)], [86, (11, 165, 5)], [87, (5, 163, 8)], [88, (1, 160, 8)], [89, (0, 154, 8)], [90, (0, 148, 10)], [91, (0, 141, 11)], [92, (1, 137, 13)], [93, (0, 130, 16)], [94, (0, 126, 18)], [95, (0, 121, 18)], [96, (0, 117, 20)], [97, (0, 114, 19)], [98, (0, 112, 22)], [99, (0, 110, 23)], [100, (0, 153, 9)], [101, (0, 157, 8)], [102, (3, 160, 7)], [103, (8, 164, 5)], [104, (15, 167, 6)], [105, (21, 170, 6)], [106, (29, 175, 6)], [107, (38, 179, 4)], [108, (48, 183, 3)], [109, (58, 188, 4)], [110, (67, 192, 4)], [111, (74, 195, 4)], [112, (86, 199, 3)], [113, (92, 203, 2)], [114, (103, 208, 2)], [115, (112, 212, 2)], [116, (176, 236, 1)], [117, (165, 233, 2)], [118, (158, 229, 1)], [119, (150, 225, 2)], [120, (142, 222, 1)], [121, (134, 219, 2)], [122, (126, 217, 2)], [123, (118, 212, 1)], [124, (107, 209, 3)], [125, (97, 204, 2)], [126, (87, 200, 4)], [127, (77, 197, 4)], [128, (68, 193, 3)], [129, (59, 189, 3)], [130, (50, 185, 4)]], [[1, (225, 22, 86)], [2, (222, 19, 83)], [3, (220, 15, 80)], [4, (219, 13, 77)], [5, (218, 12, 76)], [6, (217, 11, 75)], [7, (219, 11, 73)], [8, (219, 11, 73)], [9, (219, 10, 75)], [10, (220, 11, 76)], [11, (219, 13, 77)], [12, (220, 14, 78)], [13, (221, 15, 79)], [14, (222, 17, 82)], [15, (223, 18, 83)], [16, (222, 19, 83)], [17, (222, 19, 83)], [18, (222, 19, 83)], [19, (223, 18, 83)], [20, (223, 20, 86)], [21, (224, 21, 85)], [22, (224, 24, 89)], [23, (223, 27, 93)], [24, (225, 30, 98)], [25, (224, 35, 103)], [26, (224, 39, 107)], [27, (224, 43, 112)], [28, (224, 47, 119)], [29, (225, 51, 123)], [30, (224, 52, 124)], [31, (225, 55, 128)], [32, (224, 57, 129)], [33, (225, 58, 130)], [34, (224, 58, 130)], [35, (224, 60, 133)], [36, (224, 62, 137)], [37, (224, 63, 139)], [38, (224, 66, 141)], [39, (224, 67, 144)], [40, (223, 71, 148)], [41, (225, 74, 153)], [42, (224, 77, 157)], [43, (224, 81, 161)], [44, (223, 84, 165)], [45, (224, 87, 169)], [46, (223, 89, 174)], [47, (216, 92, 178)], [48, (208, 96, 182)], [49, (195, 99, 188)], [50, (185, 102, 194)], [51, (171, 104, 199)], [52, (158, 108, 205)], [53, (142, 110, 209)], [54, (126, 114, 216)], [55, (109, 116, 220)], [56, (94, 118, 226)], [57, (77, 120, 232)], [58, (61, 123, 236)], [59, (45, 125, 240)], [60, (28, 127, 244)], [61, (18, 128, 249)], [62, (63, 123, 237)], [63, (78, 120, 232)], [64, (94, 118, 226)], [65, (111, 116, 220)], [66, (126, 114, 216)], [67, (145, 110, 210)], [68, (161, 107, 203)], [69, (172, 105, 198)], [70, (186, 101, 192)], [71, (198, 98, 188)], [72, (209, 95, 182)], [73, (219, 91, 176)], [74, (225, 88, 170)], [75, (225, 83, 165)], [76, (226, 80, 161)], [77, (224, 76, 154)], [78, (224, 72, 149)], [79, (224, 67, 144)], [80, (223, 63, 137)], [81, (225, 59, 133)], [82, (225, 26, 93)], [83, (224, 31, 98)], [84, (224, 35, 103)], [85, (224, 39, 107)], [86, (225, 44, 115)], [87, (223, 47, 119)], [88, (224, 52, 124)], [89, (224, 58, 132)], [90, (224, 64, 138)], [91, (224, 69, 147)], [92, (223, 75, 151)], [93, (225, 78, 158)], [94, (224, 82, 164)], [95, (224, 87, 169)], [96, (219, 91, 176)], [97, (212, 94, 182)], [98, (200, 97, 186)], [99, (187, 101, 192)], [100, (225, 70, 146)], [101, (224, 66, 141)], [102, (225, 61, 134)], [103, (225, 55, 126)], [104, (224, 50, 121)], [105, (224, 45, 113)], [106, (224, 39, 107)], [107, (224, 33, 102)], [108, (223, 28, 94)], [109, (224, 24, 89)], [110, (222, 19, 83)], [111, (221, 15, 79)], [112, (220, 11, 76)], [113, (217, 9, 71)], [114, (216, 6, 69)], [115, (214, 4, 65)], [116, (214, 0, 60)], [117, (214, 0, 60)], [118, (214, 0, 60)], [119, (214, 0, 60)], [120, (214, 2, 61)], [121, (216, 4, 65)], [122, (217, 7, 70)], [123, (219, 10, 75)], [124, (220, 14, 78)], [125, (221, 18, 82)], [126, (225, 22, 88)], [127, (223, 27, 93)], [128, (225, 32, 99)], [129, (224, 37, 105)], [130, (223, 42, 111)]], [[1, (202, 5, 76)], [2, (202, 2, 75)], [3, (203, 1, 77)], [4, (203, 1, 77)], [5, (203, 1, 77)], [6, (203, 1, 77)], [7, (203, 1, 77)], [8, (203, 1, 77)], [9, (203, 1, 77)], [10, (203, 1, 77)], [11, (203, 1, 77)], [12, (203, 1, 77)], [13, (203, 1, 77)], [14, (203, 1, 77)], [15, (203, 1, 77)], [16, (203, 1, 77)], [17, (203, 1, 77)], [18, (203, 1, 77)], [19, (203, 1, 77)], [20, (203, 1, 77)], [21, (203, 1, 77)], [22, (203, 3, 76)], [23, (203, 19, 69)], [24, (203, 45, 60)], [25, (203, 73, 49)], [26, (203, 104, 37)], [27, (202, 136, 24)], [28, (200, 170, 12)], [29, (199, 196, 5)], [30, (197, 218, 1)], [31, (193, 236, 0)], [32, (188, 246, 1)], [33, (183, 253, 0)], [34, (178, 255, 1)], [35, (171, 255, 7)], [36, (162, 252, 17)], [37, (153, 247, 26)], [38, (141, 237, 39)], [39, (132, 230, 49)], [40, (120, 220, 62)], [41, (109, 209, 77)], [42, (97, 195, 94)], [43, (86, 183, 106)], [44, (75, 172, 119)], [45, (69, 163, 127)], [46, (60, 154, 138)], [47, (55, 147, 146)], [48, (48, 140, 153)], [49, (43, 135, 160)], [50, (41, 132, 163)], [51, (44, 134, 160)], [52, (49, 142, 150)], [53, (56, 148, 143)], [54, (67, 162, 132)], [55, (80, 176, 113)], [56, (90, 189, 98)], [57, (106, 204, 81)], [58, (123, 220, 63)], [59, (138, 235, 44)], [60, (152, 246, 26)], [61, (166, 254, 12)], [62, (157, 250, 21)], [63, (147, 243, 32)], [64, (138, 235, 44)], [65, (126, 225, 56)], [66, (118, 216, 67)], [67, (111, 208, 77)], [68, (104, 203, 84)], [69, (100, 198, 89)], [70, (97, 195, 92)], [71, (98, 196, 93)], [72, (99, 198, 90)], [73, (102, 201, 84)], [74, (108, 207, 78)], [75, (114, 213, 70)], [76, (118, 217, 65)], [77, (125, 224, 56)], [78, (132, 229, 51)], [79, (140, 236, 40)], [80, (149, 243, 32)], [81, (156, 248, 23)], [82, (196, 217, 0)], [83, (195, 228, 0)], [84, (193, 235, 1)], [85, (191, 242, 1)], [86, (187, 247, 0)], [87, (185, 252, 1)], [88, (183, 254, 0)], [89, (179, 254, 1)], [90, (174, 254, 5)], [91, (167, 255, 11)], [92, (164, 252, 16)], [93, (157, 250, 21)], [94, (152, 246, 25)], [95, (149, 244, 30)], [96, (147, 243, 32)], [97, (147, 243, 32)], [98, (147, 242, 34)], [99, (148, 242, 31)], [100, (189, 245, 0)], [101, (191, 242, 1)], [102, (192, 236, 0)], [103, (194, 230, 0)], [104, (195, 221, 0)], [105, (197, 213, 0)], [106, (200, 204, 5)], [107, (201, 193, 7)], [108, (202, 179, 11)], [109, (202, 169, 14)], [110, (202, 156, 18)], [111, (204, 149, 22)], [112, (203, 135, 26)], [113, (203, 124, 31)], [114, (202, 112, 34)], [115, (203, 101, 37)], [116, (203, 6, 75)], [117, (202, 14, 72)], [118, (202, 20, 68)], [119, (203, 28, 67)], [120, (203, 34, 63)], [121, (203, 45, 60)], [122, (204, 50, 58)], [123, (202, 59, 55)], [124, (203, 73, 49)], [125, (203, 85, 45)], [126, (204, 99, 41)], [127, (203, 109, 35)], [128, (204, 120, 32)], [129, (203, 132, 28)], [130, (204, 144, 24)]], [[1, (151, 13, 255)], [2, (160, 7, 255)], [3, (172, 3, 255)], [4, (178, 1, 255)], [5, (192, 2, 250)], [6, (203, 9, 245)], [7, (212, 18, 237)], [8, (222, 32, 228)], [9, (229, 47, 218)], [10, (236, 64, 208)], [11, (242, 78, 201)], [12, (245, 88, 195)], [13, (248, 98, 188)], [14, (251, 104, 184)], [15, (253, 108, 183)], [16, (252, 108, 180)], [17, (251, 104, 184)], [18, (248, 98, 188)], [19, (244, 86, 196)], [20, (238, 71, 203)], [21, (230, 49, 216)], [22, (218, 26, 233)], [23, (202, 8, 244)], [24, (181, 0, 255)], [25, (166, 5, 255)], [26, (149, 14, 255)], [27, (129, 28, 254)], [28, (107, 48, 254)], [29, (88, 63, 251)], [30, (70, 81, 249)], [31, (52, 96, 245)], [32, (41, 107, 245)], [33, (31, 116, 241)], [34, (22, 126, 241)], [35, (14, 132, 238)], [36, (6, 138, 236)], [37, (2, 143, 235)], [38, (0, 144, 233)], [39, (0, 143, 230)], [40, (0, 143, 229)], [41, (1, 143, 227)], [42, (0, 138, 226)], [43, (3, 132, 223)], [44, (9, 126, 221)], [45, (13, 120, 218)], [46, (20, 112, 215)], [47, (24, 103, 208)], [48, (27, 95, 204)], [49, (28, 82, 190)], [50, (25, 66, 171)], [51, (25, 50, 151)], [52, (20, 32, 130)], [53, (19, 17, 114)], [54, (16, 5, 97)], [55, (15, 0, 91)], [56, (15, 0, 91)], [57, (15, 0, 91)], [58, (15, 0, 91)], [59, (15, 0, 91)], [60, (15, 0, 91)], [61, (15, 0, 91)], [62, (15, 0, 91)], [63, (15, 0, 91)], [64, (15, 0, 91)], [65, (15, 0, 91)], [66, (15, 4, 96)], [67, (18, 17, 111)], [68, (21, 35, 132)], [69, (24, 49, 150)], [70, (27, 66, 171)], [71, (28, 82, 190)], [72, (29, 93, 201)], [73, (25, 104, 209)], [74, (19, 112, 215)], [75, (12, 120, 218)], [76, (8, 127, 221)], [77, (1, 135, 224)], [78, (0, 140, 225)], [79, (1, 143, 227)], [80, (0, 143, 230)], [81, (0, 144, 233)], [82, (52, 96, 245)], [83, (41, 107, 243)], [84, (31, 116, 241)], [85, (20, 125, 240)], [86, (12, 133, 238)], [87, (5, 139, 236)], [88, (2, 143, 235)], [89, (0, 143, 230)], [90, (0, 143, 229)], [91, (1, 143, 227)], [92, (0, 139, 224)], [93, (6, 131, 223)], [94, (11, 124, 220)], [95, (18, 114, 216)], [96, (24, 105, 212)], [97, (26, 97, 205)], [98, (29, 87, 195)], [99, (27, 71, 176)], [100, (1, 143, 227)], [101, (0, 143, 229)], [102, (0, 144, 233)], [103, (2, 143, 235)], [104, (8, 138, 236)], [105, (16, 131, 238)], [106, (26, 121, 241)], [107, (38, 110, 244)], [108, (52, 98, 246)], [109, (64, 86, 249)], [110, (77, 74, 251)], [111, (87, 65, 252)], [112, (101, 52, 255)], [113, (112, 43, 255)], [114, (123, 33, 255)], [115, (134, 25, 254)], [116, (198, 4, 248)], [117, (185, 0, 254)], [118, (176, 0, 255)], [119, (170, 3, 255)], [120, (162, 8, 255)], [121, (152, 13, 255)], [122, (142, 19, 255)], [123, (132, 27, 254)], [124, (117, 38, 254)], [125, (103, 50, 254)], [126, (89, 62, 251)], [127, (75, 75, 249)], [128, (62, 87, 249)], [129, (49, 101, 246)], [130, (35, 112, 244)]], [[1, (255, 113, 179)], [2, (255, 113, 179)], [3, (255, 113, 179)], [4, (255, 113, 179)], [5, (255, 113, 179)], [6, (255, 113, 179)], [7, (255, 113, 179)], [8, (255, 113, 179)], [9, (255, 113, 179)], [10, (255, 113, 179)], [11, (255, 113, 179)], [12, (255, 112, 181)], [13, (255, 112, 181)], [14, (255, 113, 179)], [15, (255, 113, 179)], [16, (255, 113, 179)], [17, (255, 113, 179)], [18, (255, 113, 179)], [19, (255, 113, 179)], [20, (255, 113, 179)], [21, (255, 113, 179)], [22, (255, 112, 181)], [23, (255, 113, 179)], [24, (254, 110, 179)], [25, (250, 102, 186)], [26, (244, 92, 193)], [27, (240, 77, 202)], [28, (232, 62, 213)], [29, (226, 48, 220)], [30, (221, 37, 229)], [31, (215, 27, 238)], [32, (209, 19, 241)], [33, (203, 12, 247)], [34, (196, 7, 249)], [35, (188, 2, 253)], [36, (176, 0, 255)], [37, (164, 3, 255)], [38, (140, 16, 250)], [39, (116, 33, 245)], [40, (83, 59, 233)], [41, (51, 83, 218)], [42, (29, 93, 201)], [43, (18, 88, 186)], [44, (16, 77, 170)], [45, (16, 63, 155)], [46, (14, 49, 139)], [47, (16, 37, 128)], [48, (14, 27, 119)], [49, (15, 22, 113)], [50, (14, 18, 109)], [51, (14, 14, 104)], [52, (15, 10, 102)], [53, (14, 9, 99)], [54, (14, 8, 98)], [55, (15, 4, 96)], [56, (15, 4, 96)], [57, (15, 4, 96)], [58, (16, 3, 95)], [59, (16, 3, 95)], [60, (16, 3, 95)], [61, (15, 2, 94)], [62, (11, 15, 106)], [63, (12, 15, 108)], [64, (11, 14, 107)], [65, (10, 15, 106)], [66, (11, 15, 106)], [67, (11, 15, 106)], [68, (12, 13, 105)], [69, (11, 15, 106)], [70, (12, 13, 105)], [71, (12, 11, 104)], [72, (12, 11, 104)], [73, (14, 9, 101)], [74, (13, 7, 97)], [75, (13, 4, 95)], [76, (16, 3, 93)], [77, (14, 8, 98)], [78, (14, 25, 115)], [79, (15, 54, 145)], [80, (21, 90, 191)], [81, (87, 56, 237)], [82, (255, 113, 179)], [83, (255, 113, 179)], [84, (255, 112, 181)], [85, (255, 113, 179)], [86, (255, 113, 179)], [87, (244, 114, 184)], [88, (147, 133, 212)], [89, (50, 144, 232)], [90, (5, 143, 232)], [91, (1, 130, 222)], [92, (1, 114, 206)], [93, (0, 101, 193)], [94, (0, 89, 181)], [95, (0, 81, 173)], [96, (1, 78, 170)], [97, (0, 73, 167)], [98, (1, 70, 163)], [99, (0, 65, 157)], [100, (38, 143, 234)], [101, (59, 143, 231)], [102, (91, 143, 226)], [103, (133, 136, 215)], [104, (169, 128, 204)], [105, (207, 121, 192)], [106, (235, 116, 184)], [107, (253, 112, 180)], [108, (255, 113, 179)], [109, (255, 113, 179)], [110, (255, 113, 179)], [111, (255, 113, 179)], [112, (255, 112, 181)], [113, (255, 113, 179)], [114, (255, 113, 179)], [115, (255, 113, 179)], [116, (255, 113, 179)], [117, (255, 113, 179)], [118, (255, 113, 179)], [119, (255, 113, 179)], [120, (255, 113, 179)], [121, (255, 113, 179)], [122, (255, 113, 179)], [123, (255, 113, 179)], [124, (255, 113, 179)], [125, (255, 113, 179)], [126, (255, 113, 179)], [127, (252, 113, 181)], [128, (239, 113, 184)], [129, (225, 118, 188)], [130, (207, 121, 192)]], [[1, (255, 194, 113)], [2, (255, 194, 113)], [3, (255, 194, 113)], [4, (255, 194, 113)], [5, (255, 194, 113)], [6, (255, 194, 113)], [7, (255, 194, 113)], [8, (255, 194, 113)], [9, (255, 194, 113)], [10, (255, 194, 113)], [11, (255, 194, 113)], [12, (255, 194, 113)], [13, (255, 194, 113)], [14, (255, 194, 113)], [15, (255, 194, 113)], [16, (255, 194, 113)], [17, (255, 194, 113)], [18, (255, 194, 113)], [19, (255, 194, 113)], [20, (255, 194, 113)], [21, (255, 194, 113)], [22, (255, 194, 113)], [23, (255, 194, 113)], [24, (254, 192, 109)], [25, (255, 174, 98)], [26, (255, 150, 84)], [27, (255, 115, 62)], [28, (254, 76, 40)], [29, (254, 39, 19)], [30, (255, 13, 12)], [31, (255, 8, 24)], [32, (255, 5, 30)], [33, (255, 4, 37)], [34, (254, 2, 43)], [35, (255, 1, 55)], [36, (255, 0, 66)], [37, (255, 3, 80)], [38, (254, 12, 115)], [39, (254, 23, 153)], [40, (255, 38, 213)], [41, (224, 17, 255)], [42, (154, 1, 231)], [43, (129, 0, 204)], [44, (120, 0, 185)], [45, (118, 0, 167)], [46, (119, 0, 154)], [47, (122, 1, 142)], [48, (122, 0, 135)], [49, (125, 0, 128)], [50, (124, 0, 122)], [51, (118, 0, 110)], [52, (112, 0, 100)], [53, (110, 0, 97)], [54, (105, 1, 90)], [55, (102, 0, 84)], [56, (102, 0, 84)], [57, (99, 0, 82)], [58, (97, 0, 79)], [59, (97, 0, 79)], [60, (97, 0, 79)], [61, (94, 0, 74)], [62, (117, 0, 115)], [63, (119, 0, 118)], [64, (117, 0, 115)], [65, (118, 0, 115)], [66, (117, 0, 114)], [67, (117, 0, 114)], [68, (118, 0, 114)], [69, (116, 0, 113)], [70, (116, 0, 111)], [71, (114, 1, 109)], [72, (113, 0, 106)], [73, (110, 0, 99)], [74, (105, 0, 92)], [75, (98, 0, 81)], [76, (97, 0, 77)], [77, (106, 0, 92)], [78, (125, 0, 132)], [79, (118, 1, 160)], [80, (134, 0, 209)], [81, (255, 35, 206)], [82, (255, 194, 113)], [83, (255, 194, 113)], [84, (255, 194, 113)], [85, (255, 194, 113)], [86, (255, 194, 113)], [87, (255, 182, 103)], [88, (255, 88, 217)], [89, (152, 30, 255)], [90, (107, 0, 240)], [91, (104, 0, 223)], [92, (103, 0, 206)], [93, (101, 0, 190)], [94, (101, 0, 182)], [95, (100, 0, 174)], [96, (101, 0, 169)], [97, (99, 1, 166)], [98, (101, 1, 162)], [99, (100, 0, 158)], [100, (140, 17, 255)], [101, (159, 35, 255)], [102, (188, 61, 255)], [103, (252, 90, 253)], [104, (255, 78, 148)], [105, (255, 111, 74)], [106, (255, 169, 94)], [107, (255, 191, 109)], [108, (255, 194, 113)], [109, (255, 194, 113)], [110, (255, 194, 113)], [111, (255, 194, 113)], [112, (255, 194, 113)], [113, (255, 194, 113)], [114, (255, 194, 113)], [115, (255, 194, 113)], [116, (255, 194, 113)], [117, (255, 194, 113)], [118, (255, 194, 113)], [119, (255, 194, 113)], [120, (255, 194, 113)], [121, (255, 194, 113)], [122, (255, 194, 113)], [123, (255, 194, 113)], [124, (255, 194, 113)], [125, (255, 194, 113)], [126, (255, 194, 113)], [127, (253, 191, 108)], [128, (255, 176, 99)], [129, (255, 153, 87)], [130, (253, 114, 73)]], [[1, (63, 30, 85)], [2, (70, 34, 82)], [3, (78, 38, 75)], [4, (80, 33, 67)], [5, (75, 21, 47)], [6, (73, 5, 26)], [7, (73, 0, 19)], [8, (71, 0, 16)], [9, (68, 0, 13)], [10, (68, 0, 13)], [11, (68, 0, 13)], [12, (69, 1, 16)], [13, (72, 0, 22)], [14, (75, 15, 43)], [15, (76, 31, 74)], [16, (68, 27, 85)], [17, (34, 1, 82)], [18, (26, 0, 87)], [19, (21, 0, 91)], [20, (14, 0, 97)], [21, (7, 0, 106)], [22, (0, 1, 119)], [23, (0, 5, 127)], [24, (0, 9, 136)], [25, (0, 21, 138)], [26, (0, 32, 132)], [27, (0, 41, 121)], [28, (0, 45, 95)], [29, (0, 37, 63)], [30, (3, 16, 32)], [31, (10, 0, 27)], [32, (34, 0, 39)], [33, (50, 0, 49)], [34, (63, 0, 55)], [35, (76, 0, 65)], [36, (95, 0, 82)], [37, (116, 1, 105)], [38, (152, 1, 158)], [39, (188, 1, 206)], [40, (228, 1, 254)], [41, (255, 1, 249)], [42, (255, 0, 220)], [43, (255, 0, 220)], [44, (250, 1, 217)], [45, (220, 1, 191)], [46, (209, 0, 180)], [47, (196, 0, 170)], [48, (201, 0, 171)], [49, (196, 0, 86)], [50, (213, 116, 1)], [51, (205, 121, 0)], [52, (198, 122, 0)], [53, (196, 125, 1)], [54, (190, 126, 0)], [55, (186, 129, 0)], [56, (186, 128, 2)], [57, (182, 127, 0)], [58, (181, 131, 0)], [59, (181, 130, 2)], [60, (180, 129, 1)], [61, (178, 131, 1)], [62, (203, 108, 0)], [63, (203, 106, 0)], [64, (201, 104, 1)], [65, (200, 98, 0)], [66, (196, 91, 0)], [67, (195, 78, 0)], [68, (184, 53, 0)], [69, (179, 28, 1)], [70, (178, 3, 0)], [71, (168, 1, 47)], [72, (149, 1, 85)], [73, (112, 0, 72)], [74, (81, 0, 45)], [75, (59, 0, 28)], [76, (47, 0, 18)], [77, (56, 1, 24)], [78, (86, 0, 49)], [79, (115, 0, 77)], [80, (159, 0, 116)], [81, (165, 9, 132)], [82, (75, 28, 80)], [83, (75, 26, 58)], [84, (71, 3, 28)], [85, (68, 0, 15)], [86, (68, 0, 13)], [87, (66, 0, 12)], [88, (150, 1, 85)], [89, (185, 0, 130)], [90, (185, 1, 135)], [91, (185, 1, 135)], [92, (188, 0, 138)], [93, (191, 0, 140)], [94, (202, 0, 150)], [95, (216, 0, 161)], [96, (231, 1, 162)], [97, (244, 0, 152)], [98, (255, 1, 131)], [99, (255, 0, 101)], [100, (254, 12, 208)], [101, (255, 24, 228)], [102, (238, 26, 224)], [103, (217, 37, 206)], [104, (126, 32, 106)], [105, (51, 38, 48)], [106, (64, 38, 67)], [107, (77, 38, 69)], [108, (74, 20, 46)], [109, (73, 0, 17)], [110, (71, 0, 16)], [111, (68, 0, 15)], [112, (68, 0, 15)], [113, (69, 0, 18)], [114, (66, 0, 27)], [115, (75, 25, 62)], [116, (79, 16, 43)], [117, (72, 0, 22)], [118, (71, 0, 16)], [119, (68, 0, 13)], [120, (68, 0, 13)], [121, (71, 0, 16)], [122, (72, 0, 18)], [123, (76, 12, 38)], [124, (75, 22, 50)], [125, (79, 39, 74)], [126, (72, 35, 79)], [127, (57, 29, 78)], [128, (40, 23, 75)], [129, (28, 22, 68)], [130, (33, 30, 61)]]]
# gradient_li = ["gradient_logo_small.jpg", "gradient_logo_2_small.jpg", "gradient_logo_3_small.jpg", "gradient_logo_4_small.jpg", "gradient_logo_5_small.jpg", "gradient_logo_6_small.jpg",
# "gradient_logo_7_small.jpg", "gradient_logo_8_small.jpg", "gradient_logo_9_small.jpg", "gradient_logo_10_small.jpg"]
# gradient = "gradient_logo_small.jpg"
# gradient_2 = "gradient_logo_2_small.jpg"
speed = 5000 # in %
def illuminate_all_pos(calc_colors):
for [pos, col] in calc_colors:
strip.setPixelColor(pos, Color(col[0], col[1], col[2]))
strip.show()
# color gradient mapping function
# def colormap(strip, img_gradient, locations_rel, shift, brightness):
# calc_color = []
# for j, [num, x_rel, y_rel] in enumerate(locations_rel):
# # print("img_gradient[x, y]: ", img_gradient[x, y])
# gradient_height, gradient_width, gradient_channels = img_gradient.shape
# x = int(x_rel * gradient_height)
# y = int(y_rel * gradient_width)
# B = int(img_gradient[x, y][0])
# G = int(img_gradient[x, y][1])
# R = int(img_gradient[x, y][2])
# color = (R, G, B)
# current_LED_num = j + shift
# if current_LED_num > LED_COUNT-1:
# current_LED_num = current_LED_num % LED_COUNT
# calc_color.append([current_LED_num, color])
# return calc_color
def shift(img_gradient, shifter):
calc_color = []
for j in range(0, len(img_gradient)):
color = img_gradient[j][1]
current_LED_num = j + shifter
if current_LED_num > LED_COUNT-1:
current_LED_num = current_LED_num % LED_COUNT
calc_color.append([current_LED_num, color])
return calc_color
# fade between colors
def fade_gradient(strip, col_map_1, col_map_2, speed):
fade_dist = 15
for counter in range(0, fade_dist):
col_map_inter = []
for led_count, _ in enumerate(col_map_1):
R_inter = int(col_map_1[led_count][1][0] + counter/fade_dist*(col_map_2[led_count][1][0] - col_map_1[led_count][1][0]))
# print("R1: " + str(col_map_1[led_count][1][0]) + " | R2: " + str(col_map_2[led_count][1][0]) + " | Rinter: " + str(R_inter))
G_inter = int(col_map_1[led_count][1][1] + counter/fade_dist*(col_map_2[led_count][1][1] - col_map_1[led_count][1][1]))
B_inter = int(col_map_1[led_count][1][2] + counter/fade_dist*(col_map_2[led_count][1][2] - col_map_1[led_count][1][2]))
ins = [col_map_1[led_count][0], (R_inter, G_inter, B_inter)]
col_map_inter.append(ins)
illuminate_all_pos(col_map_inter)
time.sleep(0.5/(speed/100))
# gradient animation functions
def rotate_gradient(strip, img_gradient, speed):
bright = 255
col_map_old = []
for k in range(0, LED_COUNT):
col_map_old = shift(img_gradient, k)
col_map_new = copy.deepcopy(col_map_old)
col_map_new.append(col_map_new.pop(0))
for en_counter, entry in enumerate(col_map_new):
col_map_new[en_counter][0] = col_map_old[en_counter][0]
# print("old: " + str(col_map_old[0]) + ", new: " + str(col_map_new[0]))
fade_gradient(strip, col_map_new, col_map_old, speed*100)
# illuminate_all_pos(color_map)
# time.sleep(0.5/(speed/100))
# Define functions which animate LEDs in various ways.
def colorWipe(strip, color, wait_ms=50):
"""Wipe color across display a pixel at a time."""
for i in range(strip.numPixels()):
strip.setPixelColor(i, color)
strip.show()
time.sleep(wait_ms/1000.0)
# def theaterChase(strip, color, wait_ms=50, iterations=10):
# """Movie theater light style chaser animation."""
# for j in range(iterations):
# for q in range(3):
# for i in range(0, strip.numPixels(), 3):
# strip.setPixelColor(i+q, color)
# strip.show()
# time.sleep(wait_ms/1000.0)
# for i in range(0, strip.numPixels(), 3):
# strip.setPixelColor(i+q, 0)
# theaterChase(strip, Color(127, 127, 127)) # White theater chase
# def wheel(pos):
# """Generate rainbow colors across 0-255 positions."""
# if pos < 85:
# return Color(pos * 3, 255 - pos * 3, 0)
# elif pos < 170:
# pos -= 85
# return Color(255 - pos * 3, 0, pos * 3)
# else:
# pos -= 170
# return Color(0, pos * 3, 255 - pos * 3)
# def rainbow(strip, wait_ms=20, iterations=1):
# """Draw rainbow that fades across all pixels at once."""
# for j in range(256*iterations):
# for i in range(strip.numPixels()):
# strip.setPixelColor(i, wheel((i+j) & 255))
# strip.show()
# time.sleep(wait_ms/1000.0)
# def rainbowCycle(strip, wait_ms=20, iterations=5):
# """Draw rainbow that uniformly distributes itself across all pixels."""
# for j in range(256*iterations):
# for i in range(strip.numPixels()):
# strip.setPixelColor(i, wheel((int(i * 256 / strip.numPixels()) + j) & 255))
# strip.show()
# time.sleep(wait_ms/1000.0)
# def theaterChaseRainbow(strip, wait_ms=50):
# """Rainbow movie theater light style chaser animation."""
# for j in range(256):
# for q in range(3):
# for i in range(0, strip.numPixels(), 3):
# strip.setPixelColor(i+q, wheel((i+j) % 255))
# strip.show()
# time.sleep(wait_ms/1000.0)
# for i in range(0, strip.numPixels(), 3):
# strip.setPixelColor(i+q, 0)
# Main program logic follows:
if __name__ == '__main__':
# Process arguments
parser = argparse.ArgumentParser()
parser.add_argument('-c', '--clear', action='store_true', help='clear the display on exit')
args = parser.parse_args()
# Create NeoPixel object with appropriate configuration.
strip = Adafruit_NeoPixel(LED_COUNT, LED_PIN, LED_FREQ_HZ, LED_DMA, LED_INVERT, LED_BRIGHTNESS, LED_CHANNEL)
# Intialize the library (must be called once before other functions).
strip.begin()
print ('Press Ctrl-C to quit.')
if not args.clear:
print('Use "-c" argument to clear LEDs on exit')
# locations_rel = []
# for [pos, x_raw, y_raw] in locations:
# x_rel = x_raw / image_width
# y_rel = y_raw / image_height
# locations_rel.append([pos, x_rel, y_rel])
i=0
# path_mainfolder = getcwd()
try:
# image_grad = imread(path_mainfolder + "/gradients/" + gradient_li[0])
# image_grad_2 = imread(path_mainfolder + "/gradients/" + gradient_li[1])
# image_grad_3 = imread(path_mainfolder + "/gradients/" + gradient_li[2])
# image_grad_4 = imread(path_mainfolder + "/gradients/" + gradient_li[3])
# image_grad_5 = imread(path_mainfolder + "/gradients/" + gradient_li[4])
# image_grad_6 = imread(path_mainfolder + "/gradients/" + gradient_li[5])
# image_grad_7 = imread(path_mainfolder + "/gradients/" + gradient_li[6])
# image_grad_8 = imread(path_mainfolder + "/gradients/" + gradient_li[7])
# image_grad_9 = imread(path_mainfolder + "/gradients/" + gradient_li[8])
# image_grad_10 = imread(path_mainfolder + "/gradients/" + gradient_li[9])
# col_map_1 = colormap(strip, image_grad, locations_rel, 0, 255)
# col_map_2 = colormap(strip, image_grad_2, locations_rel, 0, 255)
# col_map_3 = colormap(strip, image_grad_3, locations_rel, 0, 255)
# col_map_4 = colormap(strip, image_grad_4, locations_rel, 0, 255)
# col_map_5 = colormap(strip, image_grad_5, locations_rel, 0, 255)
# col_map_6 = colormap(strip, image_grad_6, locations_rel, 0, 255)
# col_map_7 = colormap(strip, image_grad_7, locations_rel, 0, 255)
# col_map_8 = colormap(strip, image_grad_8, locations_rel, 0, 255)
# col_map_9 = colormap(strip, image_grad_9, locations_rel, 0, 255)
# col_map_10 = colormap(strip, image_grad_10, locations_rel, 0, 255)
# img_grads = [image_grad, image_grad_2, image_grad_3, image_grad_4, image_grad_5, image_grad_6, image_grad_7, image_grad_8, image_grad_9, image_grad_10]
# color_maps_li = [col_map_1, col_map_2, col_map_3, col_map_4, col_map_5, col_map_6, col_map_7, col_map_8, col_map_9, col_map_10]
color_maps_li = gradient_maps_list
while True:
# if i > len(gradient_li):
# i = 0
# image_grad = cv2.imread(gradient_li(i))
# theaterChase(strip, Color(127, 127, 127)) # White theater chase
# print ('gradient_list(' + str(i) + ') now playing')
for map_counter, c_map in enumerate(color_maps_li):
rotate_gradient(strip, gradient_map_original, speed)
fade_gradient(strip, gradient_map_original, color_maps_li[map_counter], speed)
rotate_gradient(strip, color_maps_li[map_counter], speed)
fade_gradient(strip, color_maps_li[map_counter], gradient_map_original, speed)
# i =+ 1
except KeyboardInterrupt:
if args.clear:
colorWipe(strip, Color(0,0,0), 10)
| 159.379167 | 24,996 | 0.486968 | 6,677 | 38,251 | 2.728022 | 0.073536 | 0.016799 | 0.023223 | 0.015921 | 0.133956 | 0.112654 | 0.072083 | 0.063464 | 0.059511 | 0.044414 | 0 | 0.414703 | 0.208021 | 38,251 | 239 | 24,997 | 160.046025 | 0.186572 | 0.173041 | 0 | 0.026316 | 0 | 0 | 0.003556 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065789 | false | 0 | 0.065789 | 0 | 0.144737 | 0.026316 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
88a96ebb6bb32c3a368b1b1f159bb483e6dda05c | 55 | py | Python | classgroup/views/admin.py | wanderknight/OnlineJudge | dc1a085867a7f26799931f7ab6d58e071f75cf1c | [
"MIT"
] | null | null | null | classgroup/views/admin.py | wanderknight/OnlineJudge | dc1a085867a7f26799931f7ab6d58e071f75cf1c | [
"MIT"
] | null | null | null | classgroup/views/admin.py | wanderknight/OnlineJudge | dc1a085867a7f26799931f7ab6d58e071f75cf1c | [
"MIT"
] | null | null | null | __author__ = 'wanderknight'
__time__ = '2019/8/9 20:31' | 27.5 | 27 | 0.727273 | 8 | 55 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.204082 | 0.109091 | 55 | 2 | 28 | 27.5 | 0.44898 | 0 | 0 | 0 | 0 | 0 | 0.464286 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
88ae297d2240f240020aaafaacc83b9ba081748a | 218 | py | Python | pytarallo/ProductToUpload.py | pippo314/pytarallo | ede1b47a2777317cf7c37aa51d7edfc9d8064e31 | [
"MIT"
] | null | null | null | pytarallo/ProductToUpload.py | pippo314/pytarallo | ede1b47a2777317cf7c37aa51d7edfc9d8064e31 | [
"MIT"
] | null | null | null | pytarallo/ProductToUpload.py | pippo314/pytarallo | ede1b47a2777317cf7c37aa51d7edfc9d8064e31 | [
"MIT"
] | null | null | null | from pytarallo.Product import Product
class ProductToUpload(Product):
"""Not sure what this is"""
def __init__(self, data: dict):
"""Constructor for ProductToUpload"""
super().__init__(data)
| 21.8 | 45 | 0.669725 | 24 | 218 | 5.75 | 0.791667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.211009 | 218 | 9 | 46 | 24.222222 | 0.802326 | 0.243119 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.25 | 0 | 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 | 0 | 1 | 0 | 0 | 4 |
88b5a3f02b92247c7b02d0307b21178d1f7556b5 | 362 | py | Python | airbyte-integrations/connectors/source-bitrix24-crm/source_bitrix24_crm/utils.py | adventum/airbyte | e563d1bce7c192882c719fc112bfc371e701ea48 | [
"MIT"
] | null | null | null | airbyte-integrations/connectors/source-bitrix24-crm/source_bitrix24_crm/utils.py | adventum/airbyte | e563d1bce7c192882c719fc112bfc371e701ea48 | [
"MIT"
] | null | null | null | airbyte-integrations/connectors/source-bitrix24-crm/source_bitrix24_crm/utils.py | adventum/airbyte | e563d1bce7c192882c719fc112bfc371e701ea48 | [
"MIT"
] | null | null | null | from datetime import datetime, timedelta
def get_yesterday_date() -> str:
"""Returns yesterday date (mm/dd/yyyy for requests report)."""
return (datetime.now() - timedelta(1)).date().strftime("%Y/%m/%d") + "T23:59:59"
def get_today_minus_n_days_date(days: int):
return (datetime.now() - timedelta(days)).date().strftime("%m/%d/%Y") + "T00:00:00"
| 32.909091 | 87 | 0.668508 | 54 | 362 | 4.351852 | 0.592593 | 0.051064 | 0.144681 | 0.221277 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.04127 | 0.129834 | 362 | 10 | 88 | 36.2 | 0.704762 | 0.154696 | 0 | 0 | 0 | 0 | 0.113333 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0 | 0.2 | 0.2 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 |
ee1608bfc397ef6cd86c476cdfbd665f0ba9d0d9 | 185 | py | Python | common/mod/Mod.py | wode490390/Mod-stub | 0a1451f39e9c41c6a6645257f76d9a01591342ce | [
"MIT"
] | null | null | null | common/mod/Mod.py | wode490390/Mod-stub | 0a1451f39e9c41c6a6645257f76d9a01591342ce | [
"MIT"
] | null | null | null | common/mod/Mod.py | wode490390/Mod-stub | 0a1451f39e9c41c6a6645257f76d9a01591342ce | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
def Binding(name, version):
pass
def InitServer():
pass
def DestroyServer():
pass
def InitClient():
pass
def DestroyClient():
pass
| 8.409091 | 27 | 0.589189 | 20 | 185 | 5.45 | 0.6 | 0.256881 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007463 | 0.275676 | 185 | 21 | 28 | 8.809524 | 0.80597 | 0.113514 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0.5 | 0 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 |
ee2b8628e865cc2f5567aa9c66d769d53d4631c8 | 1,441 | py | Python | steam_inbox.py | AgincourtProjects/Steam-Email-Service | 278e2f1b07bcd73ba7ded831f95d06fc7f6cbd11 | [
"MIT"
] | null | null | null | steam_inbox.py | AgincourtProjects/Steam-Email-Service | 278e2f1b07bcd73ba7ded831f95d06fc7f6cbd11 | [
"MIT"
] | null | null | null | steam_inbox.py | AgincourtProjects/Steam-Email-Service | 278e2f1b07bcd73ba7ded831f95d06fc7f6cbd11 | [
"MIT"
] | null | null | null | import imaplib
import email
host = 'imap.gmail.com'
username = 'kunforever16@gmail.com'
password = 'additya007'
mail = imaplib.IMAP4_SSL(host)
mail.login(username, password)
mail.select("inbox")
_, search_data = mail.search(None, 'UNSEEN')
mail_list = search_data[0].split()
latest = mail_list[-1]
_, data = mail.fetch(latest, '(RFC822)')
_, b = data[0]
email_message = email.message_from_bytes(b)
# print(email_message)
# print(email_message, file=open('mail.txt', 'w'))
x = str(email_message)
a = x.split('Here is the Steam Guard code you need to login to account kunforever16:</td>\r\n\t\t\t\t</tr>\r\n\t\t\t</table>\r\n\t\t\t\t\t\t<table width="100%" border="0" cellspacing="0" cellpadding="0">\r\n\t\t\t\t<tr>\r\n\t\t\t\t\t<td class="pb-70 mpb-50" style="padding-bottom: 70px;">\r\n\t\t\t\t\t\t<table width="100%" border="0" cellspacing="0" cellpadding="0"bgcolor="#17191c">\r\n\t\t\t\t\t\t\t<tr>\r\n\t\t\t\t\t\t\t\t<td class="py-30 px-56" style="padding-top: 30px; padding-bottom: 30px; padding-left: 56px; padding-right: 56px;">\r\n\t\t\t\t\t\t\t\t\t<table width="100%" border="0" cellspacing="0" cellpadding="0">\r\n\t\t\t\t\t\t\t\t\t\t<tr>\r\n\t\t\t\t\t\t\t\t\t\t\t<td class="title-48 c-blue1 fw-b a-center" style="font-size:48px; line-height:52px; font-family:\'Motiva Sans\', Helvetica, Arial, sans-serif; color:#3a9aed; font-weight:bold; text-align:center;">\r\n\t\t\t\t\t\t\t\t\t\t\t\t')
b = a[1]
code = b[1:6]
print(code)
| 53.37037 | 905 | 0.680083 | 303 | 1,441 | 3.188119 | 0.349835 | 0.151139 | 0.189441 | 0.202899 | 0.279503 | 0.279503 | 0.279503 | 0.272257 | 0.272257 | 0.270186 | 0 | 0.050642 | 0.081888 | 1,441 | 26 | 906 | 55.423077 | 0.679516 | 0.047883 | 0 | 0 | 0 | 0.105263 | 0.687363 | 0.330898 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.105263 | 0.105263 | 0 | 0.105263 | 0.052632 | 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 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 |
ee2d9fce933882cb2481f6db8ce1bbd344c89f26 | 143 | py | Python | django_directed/urls.py | jacklinke/django-directed | 8ef8cd8a71e9a03a8628dce6465351f676f542ff | [
"Apache-2.0"
] | 2 | 2022-02-09T10:15:40.000Z | 2022-02-22T14:11:03.000Z | django_directed/urls.py | jacklinke/django-directed | 8ef8cd8a71e9a03a8628dce6465351f676f542ff | [
"Apache-2.0"
] | 1 | 2022-02-20T14:49:37.000Z | 2022-02-20T14:49:37.000Z | django_directed/urls.py | jacklinke/django-directed | 8ef8cd8a71e9a03a8628dce6465351f676f542ff | [
"Apache-2.0"
] | null | null | null | from django.urls import path
from django.views.generic import TemplateView
from . import views
app_name = "django_directed"
urlpatterns = []
| 17.875 | 45 | 0.79021 | 19 | 143 | 5.842105 | 0.631579 | 0.18018 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.13986 | 143 | 7 | 46 | 20.428571 | 0.902439 | 0 | 0 | 0 | 0 | 0 | 0.104895 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.6 | 0 | 0.6 | 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 |
ee443e82f0dbc4ed50509bda6ebd72f7adaba101 | 168 | py | Python | 08_pr3_05.py | AmreshTripathy/Python | e86420fef7f52da393be5b50ac2f13bddfeb3306 | [
"Apache-2.0"
] | 4 | 2021-05-27T05:06:09.000Z | 2021-06-12T17:12:47.000Z | 08_pr3_05.py | AmreshTripathy/Python | e86420fef7f52da393be5b50ac2f13bddfeb3306 | [
"Apache-2.0"
] | null | null | null | 08_pr3_05.py | AmreshTripathy/Python | e86420fef7f52da393be5b50ac2f13bddfeb3306 | [
"Apache-2.0"
] | null | null | null | letter = "Dear Harry, This python course is nice! Thanks!"
print (letter)
formatted_letter = "Dear Harry,\nThis course is nice!\nThanks!"
print (formatted_letter ) | 33.6 | 64 | 0.738095 | 23 | 168 | 5.304348 | 0.565217 | 0.163934 | 0.245902 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.154762 | 168 | 5 | 65 | 33.6 | 0.859155 | 0 | 0 | 0 | 0 | 0 | 0.539394 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.5 | 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 | 0 | 0 | 0 | 1 | 0 | 4 |
c9bb9da975d4e98bb70a9018354bb0c7626be25b | 13,527 | py | Python | src/chatbots/intentions/talk.py | leolani/cltl-chatbots | 45a2300c87853911b53f19e53ab7c8a4705ba2e6 | [
"Apache-2.0"
] | null | null | null | src/chatbots/intentions/talk.py | leolani/cltl-chatbots | 45a2300c87853911b53f19e53ab7c8a4705ba2e6 | [
"Apache-2.0"
] | 14 | 2021-11-02T08:33:53.000Z | 2022-03-30T16:00:01.000Z | src/chatbots/intentions/talk.py | leolani/cltl-chatbots | 45a2300c87853911b53f19e53ab7c8a4705ba2e6 | [
"Apache-2.0"
] | 1 | 2021-12-11T11:54:29.000Z | 2021-12-11T11:54:29.000Z | import os
import sys
from random import choice
import pprint
from cltl.brain.long_term_memory import LongTermMemory
from cltl.brain.utils.helper_functions import brain_response_to_json
from cltl.combot.backend.api.discrete import UtteranceType
from cltl.reply_generation.data.sentences import ELOQUENCE
from cltl.reply_generation.lenka_replier import LenkaReplier
from cltl.triple_extraction.api import Chat
from emissor.representation.scenario import TextSignal, Scenario
from cltl.triple_extraction.cfg_analyzer import CFGAnalyzer
src_path = os.path.abspath(os.path.join('../..'))
if src_path not in sys.path:
sys.path.append(src_path)
import chatbots.util.capsule_util as c_util
import chatbots.util.text_util as t_util
# basic function that creates a capsule from a triple and stores it on the brain
# @parameters triple as a json string and the initilised brain as LongTermMemory
# Posting triples triggers thoughts that are converted to json and returned
# ADDITIONAL PARAMETERS my_brain.update(capsule, reason_types=True, create_label=False)
# reason_types=True --> it will find subjects and objects in the Semantic web and add the type information
# create_label=True --> it will automatically create a rdfs:label property from the subject label
def post_a_triple(triple, my_brain: LongTermMemory):
response_json = None
response = None
capsule = c_util.triple_to_capsule(triple, UtteranceType.STATEMENT)
try:
response = my_brain.update(capsule)
response_json = brain_response_to_json(response)
except:
print('Error:', response)
return capsule, response_json
def post_a_triple_label_and_type(triple, my_brain: LongTermMemory):
response_json = None
response = None
capsule = c_util.triple_to_capsule(triple, UtteranceType.STATEMENT)
try:
response = my_brain.update(capsule, reason_types=True, create_label=True)
response_json = brain_response_to_json(response)
except:
print('Error:', response)
return capsule, response_json
def post_a_triple_and_verbalise_throughts(triple, replier: LenkaReplier, my_brain: LongTermMemory):
reply = None
response = None
capsule = c_util.triple_to_capsule(triple, UtteranceType.STATEMENT)
#print(capsule)
try:
response = my_brain.update(capsule) # ADDITIONAL PARAMTERS reason_types=True, create_label=False
response_json = brain_response_to_json(response)
reply = replier.reply_to_statement(response_json) # ADDITIONAL PARAMETERS proactive=True, persist=True
except:
print('Error:', response)
if reply is None:
reply = choice(ELOQUENCE)
return reply
def post_a_query(triple,my_brain: LongTermMemory):
response_json = None
response = None
capsule = c_util.triple_to_capsule(triple, UtteranceType.QUESTION)
#print(capsule)
try:
response = my_brain.query_brain(capsule)
response_json = brain_response_to_json(response)
except:
print('Error:', response)
return response_json
def post_a_query_and_verbalise_answer(triple, replier: LenkaReplier, my_brain: LongTermMemory):
reply = None
response = None
capsule = c_util.triple_to_capsule(triple, UtteranceType.QUESTION)
#print(capsule)
try:
response = my_brain.query_brain(capsule)
response_json = brain_response_to_json(response)
reply = replier.reply_to_question(response_json)
except:
print('Error:', response)
if reply is None:
reply = choice(ELOQUENCE)
return reply
######## Utility function to integrate calls to the brain with ESMISSOR scenarios
def process_text_and_reply(scenario: Scenario,
place_id: str,
location: str,
human_id: str,
textSignal: TextSignal,
chat: Chat,
analyzer: CFGAnalyzer,
replier: LenkaReplier,
my_brain: LongTermMemory,
print_details:False):
reply_list = []
capsule = None
response = None
response_json = None
response_list = []
### Next, we get all possible triples
chat.add_utterance(c_util.seq_to_text(textSignal.seq))
analyzer.analyze(chat.last_utterance)
if print_details:
print('Last utterance:', c_util.seq_to_text(textSignal.seq))
if not chat.last_utterance.triples:
reply = choice(ELOQUENCE)
reply_list.append(reply)
else:
for extracted_triple in chat.last_utterance.triples:
print(extracted_triple)
capsule = c_util.scenario_utterance_to_capsule(scenario,place_id,location, textSignal,human_id, extracted_triple)
if chat.last_utterance.utterance_type == UtteranceType.QUESTION:
capsule = c_util.lowcase_triple_json_for_query(capsule)
try:
response = my_brain.query_brain(capsule)
response_json = brain_response_to_json(response)
reply = replier.reply_to_question(response_json)
response_list.append(response_json)
reply_list.append(reply)
except:
print('Error:', response)
elif chat.last_utterance.utterance_type == UtteranceType.STATEMENT:
try:
response = my_brain.update(capsule, reason_types=True, create_label=True)
response_json = brain_response_to_json(response)
reply = replier.reply_to_statement(response_json, proactive=True, persist=True)
response_list.append(response_json)
reply_list.append(reply)
except:
print('Error:', response)
response_list.append(response_json)
return capsule, reply_list, response_list
def process_statement_and_reply(scenario: Scenario,
place_id: str,
location: str,
human_id: str,
textSignal: TextSignal,
chat: Chat,
analyzer: CFGAnalyzer,
replier: LenkaReplier,
my_brain: LongTermMemory,
print_details:False):
reply_list = []
capsule_list = []
response = None
response_json = None
response_list = []
### Next, we get all possible triples
chat.add_utterance(c_util.seq_to_text(textSignal.seq))
analyzer.analyze(chat.last_utterance)
if print_details:
print('Last utterance:', c_util.seq_to_text(textSignal.seq))
if not chat.last_utterance.triples:
reply = choice(ELOQUENCE)
reply_list.append(reply)
else:
for extracted_triple in chat.last_utterance.triples:
c_util.add_uri_to_triple(extracted_triple)
capsule = c_util.scenario_utterance_to_capsule(scenario,place_id,location, textSignal,human_id, extracted_triple)
capsule_list.append(capsule)
if print_details:
print("Triple",extracted_triple)
print("Capsule", capsule)
try:
response = my_brain.update(capsule, reason_types=True, create_label=True)
response_json = brain_response_to_json(response)
reply = replier.reply_to_statement(response_json, proactive=True, persist=True)
response_list.append(response_json)
reply_list.append(reply)
except:
print('Error:', response)
response_list.append(response_json)
return capsule_list, reply_list, response_list
def process_text_spacy_and_reply(scenario: Scenario,
place_id: str,
location: str,
speaker: str,
hearer:str,
textSignal: TextSignal,
replier: LenkaReplier,
my_brain: LongTermMemory,
nlp,
print_details:False):
reply_list = []
response_list = []
response = None
### We first add the mentions for any entities to the signal
entities = t_util.add_ner_annotation_with_spacy(textSignal, nlp)
subject_objects = t_util.add_np_annotation_with_spacy(textSignal, nlp, speaker, hearer)
if print_details:
print('Entities', entities)
print('Subject_and_objects', subject_objects)
if entities is None and subject_objects is None:
reply = choice(ELOQUENCE)
reply_list.append(reply)
if len(entities)>0:
for entity in entities:
capsule = c_util.scenario_text_mention_to_capsule(scenario,
place_id,
location,
textSignal,
speaker,
entity,
"denotedIn",
textSignal.id)
if print_details:
print('Entity Capsule:')
pprint.pprint(capsule)
try:
response = my_brain.update(capsule, reason_types=True, create_label=True)
response_json = brain_response_to_json(response)
reply = replier.reply_to_statement(response_json, proactive=True, persist=True)
response_list.append(response_json)
reply_list.append(reply)
if print_details:
print('Entity reply', reply)
except:
print('Error:', response)
if len(subject_objects)>0:
for np in subject_objects:
capsule = c_util.scenario_text_mention_to_capsule(scenario,
place_id,
location,
textSignal,
speaker,
np,
"denotedIn",
textSignal.id)
if print_details:
print('Subj/Obj Capsule:')
pprint.pprint(capsule)
try:
response = my_brain.update(capsule, reason_types=True, create_label=True)
response_json = brain_response_to_json(response)
reply = replier.reply_to_statement(response_json, proactive=True, persist=True)
reply_list.append(reply)
response_list.append(response)
if print_details:
print('Sub/Obj reply', reply)
except:
print('Error:', response)
return reply_list, response_list
def process_triple_spacy_and_reply(scenario: Scenario,
place_id: str,
location: str,
speaker: str,
hearer:str,
textSignal: TextSignal,
replier: LenkaReplier,
my_brain: LongTermMemory,
nlp,
print_details:False):
reply_list = []
response_list = []
response = None
triples = t_util.get_subj_amod_triples_with_spacy(textSignal, nlp, speaker, hearer)
triples.extend(t_util.get_subj_obj_triples_with_spacy(textSignal, nlp, speaker, hearer))
if print_details:
print('Triples', triples)
if triples is None:
reply = choice(ELOQUENCE)
reply_list.append(reply)
else:
for triple in triples:
capsule = c_util.scenario_text_mention_to_capsule(scenario,
place_id,
location,
textSignal,
speaker,
triple[1],
"hasState",
triple[2])
if print_details:
print('Triple spacy Capsule:')
pprint.pprint(capsule)
try:
response = my_brain.update(capsule, reason_types=True, create_label=True)
response_json = brain_response_to_json(response)
reply = replier.reply_to_statement(response_json, proactive=True, persist=True)
response_list(response_json)
reply_list.append(reply)
if print_details:
print('Triple spacy reply', reply)
except:
print('Error:', response)
return reply_list, response_list
| 40.258929 | 125 | 0.566423 | 1,340 | 13,527 | 5.457463 | 0.127612 | 0.055791 | 0.024614 | 0.031177 | 0.75523 | 0.741146 | 0.705456 | 0.68262 | 0.68262 | 0.662792 | 0 | 0.000468 | 0.368596 | 13,527 | 335 | 126 | 40.379104 | 0.855755 | 0.064242 | 0 | 0.753676 | 0 | 0 | 0.021384 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033088 | false | 0 | 0.051471 | 0 | 0.117647 | 0.161765 | 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 |
c9c3a153e7e6518d8c4fc7f469b7b7b64cc8fc49 | 96 | py | Python | biplane_kine/graphing/__init__.py | klevis-a/process-vicon-biplane | f140589b4705f0d6411b80b8e2699add68d08662 | [
"MIT"
] | 1 | 2021-11-10T21:09:59.000Z | 2021-11-10T21:09:59.000Z | biplane_kine/graphing/__init__.py | klevis-a/process-vicon-biplane | f140589b4705f0d6411b80b8e2699add68d08662 | [
"MIT"
] | null | null | null | biplane_kine/graphing/__init__.py | klevis-a/process-vicon-biplane | f140589b4705f0d6411b80b8e2699add68d08662 | [
"MIT"
] | null | null | null | """This package provides contains utilities for graphing Vicon and biplane fluoroscopy data."""
| 48 | 95 | 0.802083 | 12 | 96 | 6.416667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125 | 96 | 1 | 96 | 96 | 0.916667 | 0.927083 | 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 |
a00a65b7ddea8dc99ee7ff1851dc7e40899d32a3 | 246 | py | Python | app/es.py | Ferlab-Ste-Justine/csv-to-es | 85d4a6ccd60115007607bc330232b40d77fc022e | [
"Apache-2.0"
] | null | null | null | app/es.py | Ferlab-Ste-Justine/csv-to-es | 85d4a6ccd60115007607bc330232b40d77fc022e | [
"Apache-2.0"
] | null | null | null | app/es.py | Ferlab-Ste-Justine/csv-to-es | 85d4a6ccd60115007607bc330232b40d77fc022e | [
"Apache-2.0"
] | null | null | null | from elasticsearch import Elasticsearch
def get_es(conf) -> Elasticsearch:
return Elasticsearch(
hosts=conf['elasticsearch']['host'],
scheme=conf['elasticsearch']['scheme'],
port=conf['elasticsearch']['port'],
)
| 24.6 | 47 | 0.654472 | 23 | 246 | 6.956522 | 0.521739 | 0.425 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.195122 | 246 | 9 | 48 | 27.333333 | 0.808081 | 0 | 0 | 0 | 0 | 0 | 0.215447 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.142857 | 0.142857 | 0.428571 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 |
4e5384ed6739a072be19c7a06e2acc67985243ac | 592 | py | Python | 200-299/295.py | linyk9/leetcode | eaaadead32cc9d3884543f4ed832bb3cb5aa68e6 | [
"MIT"
] | null | null | null | 200-299/295.py | linyk9/leetcode | eaaadead32cc9d3884543f4ed832bb3cb5aa68e6 | [
"MIT"
] | null | null | null | 200-299/295.py | linyk9/leetcode | eaaadead32cc9d3884543f4ed832bb3cb5aa68e6 | [
"MIT"
] | null | null | null | class MedianFinder:
def __init__(self):
"""
initialize your data structure here.
"""
self.nums = []
self.length = 0
def addNum(self, num: int) -> None:
bisect.insort(self.nums, num)
self.length += 1
def findMedian(self) -> float:
return self.nums[self.length // 2] if self.length % 2 == 1 else (self.nums[self.length // 2] + self.nums[self.length // 2 - 1]) / 2
# Your MedianFinder object will be instantiated and called as such:
# obj = MedianFinder()
# obj.addNum(num)
# param_2 = obj.findMedian()
| 24.666667 | 140 | 0.584459 | 76 | 592 | 4.486842 | 0.473684 | 0.175953 | 0.140762 | 0.211144 | 0.167155 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023529 | 0.282095 | 592 | 23 | 141 | 25.73913 | 0.778824 | 0.282095 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0.111111 | 0.555556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 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 | 1 | 1 | 0 | 0 | 4 |
4e6d0844205212e72428c847e0e4d7ea114529ed | 171 | py | Python | dapricot/__init__.py | softapr/django_apricot | 911b6627a5ffaf3f7b13a099ca129f3a2ffda558 | [
"BSD-3-Clause"
] | null | null | null | dapricot/__init__.py | softapr/django_apricot | 911b6627a5ffaf3f7b13a099ca129f3a2ffda558 | [
"BSD-3-Clause"
] | null | null | null | dapricot/__init__.py | softapr/django_apricot | 911b6627a5ffaf3f7b13a099ca129f3a2ffda558 | [
"BSD-3-Clause"
] | null | null | null | from django.utils.module_loading import autodiscover_modules
def autodiscover():
autodiscover_modules('dapricot')
default_app_config = 'dapricot.apps.DapricotConfig' | 28.5 | 60 | 0.830409 | 19 | 171 | 7.210526 | 0.789474 | 0.277372 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.087719 | 171 | 6 | 61 | 28.5 | 0.878205 | 0 | 0 | 0 | 0 | 0 | 0.209302 | 0.162791 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.25 | 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 |
4e85e1e5cc1b28371bc7356a6ebee340230c8e31 | 827 | py | Python | celadon/apps/form/models.py | ninapavlich/caledon | c5c1af7ac038b8e62e31637822d5412ad8587cbd | [
"MIT"
] | null | null | null | celadon/apps/form/models.py | ninapavlich/caledon | c5c1af7ac038b8e62e31637822d5412ad8587cbd | [
"MIT"
] | null | null | null | celadon/apps/form/models.py | ninapavlich/caledon | c5c1af7ac038b8e62e31637822d5412ad8587cbd | [
"MIT"
] | null | null | null | from django.db import models
from django.conf import settings
from django.core.urlresolvers import reverse
from carbon.compounds.form.models import Form as BaseForm
from carbon.compounds.form.models import FormField as BaseFormField
from carbon.compounds.form.models import FormEntry as BaseFormEntry
from carbon.compounds.form.models import FieldEntry as BaseFieldEntry
from carbon.compounds.form.models import FormEntryStatus as BaseFormEntryStatus
from carbon.compounds.form.models import FormEntryTag as BaseFormEntryTag
class FormEntryStatus(BaseFormEntryStatus):
pass
class FormEntryTag(BaseFormEntryTag):
pass
class FormField(BaseFormField):
pass
class Form(BaseForm):
field_model = FormField
class FieldEntry(BaseFieldEntry):
pass
class FormEntry(BaseFormEntry):
field_entry_model = FieldEntry
| 24.323529 | 79 | 0.834341 | 99 | 827 | 6.939394 | 0.30303 | 0.087336 | 0.165939 | 0.200873 | 0.305677 | 0.305677 | 0 | 0 | 0 | 0 | 0 | 0 | 0.114873 | 827 | 33 | 80 | 25.060606 | 0.938525 | 0 | 0 | 0.190476 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.190476 | 0.428571 | 0 | 0.809524 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 4 |
4e88b5287ec00f50565e2f5ada09f42e335f681f | 165 | py | Python | Yadu/generic/10.py | SrishtiGameLab/ema-virtual-worlds-s1c1ws-1617 | 483049e05ac032af4f3f2023c059eb8ffa3c369d | [
"MIT"
] | null | null | null | Yadu/generic/10.py | SrishtiGameLab/ema-virtual-worlds-s1c1ws-1617 | 483049e05ac032af4f3f2023c059eb8ffa3c369d | [
"MIT"
] | null | null | null | Yadu/generic/10.py | SrishtiGameLab/ema-virtual-worlds-s1c1ws-1617 | 483049e05ac032af4f3f2023c059eb8ffa3c369d | [
"MIT"
] | null | null | null | '''
datetime
'''
from datetime import datetime
now = datetime.now()
print now.year
print now.month
print now.day
print now.hour
print now.minute
print now.second | 11 | 29 | 0.751515 | 26 | 165 | 4.769231 | 0.423077 | 0.387097 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.151515 | 165 | 15 | 30 | 11 | 0.885714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.125 | null | null | 0.75 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 |
4ea83995a3865d6cc99180f78d883e4fbdffde44 | 87 | py | Python | test/api/week_info/config.py | me2nuk/CTF-info | d811946f95368a80e561d113cbd5411f6f590c98 | [
"MIT"
] | null | null | null | test/api/week_info/config.py | me2nuk/CTF-info | d811946f95368a80e561d113cbd5411f6f590c98 | [
"MIT"
] | null | null | null | test/api/week_info/config.py | me2nuk/CTF-info | d811946f95368a80e561d113cbd5411f6f590c98 | [
"MIT"
] | null | null | null | auth_key = "AIzaSyC8kuwqFhzPZYxxfItL0we2tQzIVl2nZuM"
calendars_Id = "ctftime@gmail.com" | 43.5 | 52 | 0.850575 | 8 | 87 | 9 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.04878 | 0.057471 | 87 | 2 | 53 | 43.5 | 0.829268 | 0 | 0 | 0 | 0 | 0 | 0.636364 | 0.443182 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
4edc0967751fbc424183b4d6b4fc2abcc2628bfa | 2,282 | py | Python | ipcam/src/remove_snap.py | jack139/HF | 4810f4ee2faf9ab51c867e105addc139da2adfd1 | [
"BSD-3-Clause"
] | 10 | 2019-04-07T20:13:23.000Z | 2021-12-07T06:23:52.000Z | ipcam/src/remove_snap.py | jack139/HF | 4810f4ee2faf9ab51c867e105addc139da2adfd1 | [
"BSD-3-Clause"
] | 1 | 2020-05-29T16:11:22.000Z | 2020-05-29T16:11:22.000Z | ipcam/src/remove_snap.py | jack139/HF | 4810f4ee2faf9ab51c867e105addc139da2adfd1 | [
"BSD-3-Clause"
] | 6 | 2017-10-20T10:53:33.000Z | 2020-04-24T06:34:18.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
import sys
import shutil, os
from config import setting
#{ ObjectId("534ce70e1ecffb0b5565221d"), "192.168.100.15", "放映厅3", "K307PBVQ3GV3" }
#{ ObjectId("534cf1b11ecffb0b5565225d"), "192.168.100.22", "放映厅4", "K307FX2N35KX" }
#{ ObjectId("534cf3c01ecffb0b55652264"), "192.168.100.24", "放映厅6", "K307PTAL9ASM" }
#{ ObjectId("534cf4dc1ecffb0b55652266"), "192.168.100.25", "放映厅1", "K307MJ5542Q9" }
#{ ObjectId("534cf5681ecffb0b55652268"), "192.168.100.26", "放映厅5", "K307AQX7346Q" }
#{ ObjectId("5361b5331ecffb52af0a7b6f"), "192.168.100.28", "放映厅2", "K307XPRYCT86" }
#{ ObjectId("5361b7761ecffb576ab5a5b0"), "192.168.100.32", "放映厅7", "K30758SFKTGB" }
cam_list = [
"534ce70e1ecffb0b5565221d",
"534cf1b11ecffb0b5565225d",
"534cf3c01ecffb0b55652264",
"534cf4dc1ecffb0b55652266",
"534cf5681ecffb0b55652268",
"5361b5331ecffb52af0a7b6f",
"5361b7761ecffb576ab5a5b0",
"535e3bc31ecffb2fa372fdde",
"5361d2f11ecffb0f1c162d8e",
"535e3ca01ecffb2fa372fde3",
"535e2eeb1ecffb2fa372fdc2",
"535e21e81ecffb2fa372fdb4",
"5347be091ecffb4c55f32b9d",
"5347c0411ecffb4c55f32ba3",
"534bab311ecffb50fcbc590e",
"534ce0b11ecffb0b55652215",
"534ce4851ecffb0b5565221a",
"534cecdc1ecffb0b55652233",
"534cef201ecffb0b55652253",
"534cefc81ecffb0b55652255",
"534cf2d81ecffb0b5565225f",
"5361b4531ecffb0b20361fbd",
"5361b5d01ecffb0f1c162d86",
"5361b6691ecffb576ab5a5aa",
"5361b6f81ecffb576ab5a5ad",
"5361b8371ecffb576ab5a5b3",
"5361b8bc1ecffb576ab5a5b6",
"5361b9c11ecffb52af0a7b72",
"5361baec1ecffb576ab5a5b9",
"5361bc3c1ecffb52af0a7b75",
]
if __name__=='__main__':
parent = setting.snap_store_path
n=0
l=0
for camid in cam_list:
t_dirs = os.listdir("%s/%s" % (parent, camid))
t_dirs.sort()
for d in t_dirs:
if d=='capture':
continue
#shutil.rmtree('%s/%s/%s' % (parent, camid, d))
#print 'remove %s/%s/%s' % (parent, camid, d)
#sys.stdout.flush()
t_files = os.listdir("%s/%s/%s" % (parent, camid, d))
for f in t_files:
n += 1
os.remove('%s/%s/%s/%s' % (parent, camid, d, f))
#print '%s - %s removed' % (camid, f)
#sys.stdout.flush()
os.rmdir('%s/%s/%s' % (parent, camid, d))
if n/1000>l:
l = n/1000
print '%s - %d files removed' % (camid, n)
sys.stdout.flush()
| 28.17284 | 84 | 0.698948 | 221 | 2,282 | 7.140271 | 0.466063 | 0.016477 | 0.039924 | 0.04943 | 0.047529 | 0.047529 | 0 | 0 | 0 | 0 | 0 | 0.317404 | 0.128834 | 2,282 | 80 | 85 | 28.525 | 0.476358 | 0.343996 | 0 | 0 | 0 | 0 | 0.532073 | 0.486158 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.055556 | null | null | 0.018519 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
0913f6aaa799906b156aab088806466f150b4a05 | 97 | py | Python | models/BiBloSA.py | ForeverZyh/ASCC | 2d76d679889953501c469221a37d486e7ee42ded | [
"MIT"
] | 576 | 2017-12-13T12:44:20.000Z | 2022-03-03T13:28:58.000Z | models/BiBloSA.py | motefly/TextClassificationBenchmark | 77cbf922e3abe1241961c2759170a4657a3a4672 | [
"MIT"
] | 21 | 2017-12-17T07:46:25.000Z | 2020-08-20T16:55:01.000Z | models/BiBloSA.py | motefly/TextClassificationBenchmark | 77cbf922e3abe1241961c2759170a4657a3a4672 | [
"MIT"
] | 149 | 2017-12-13T15:00:37.000Z | 2022-03-23T18:29:44.000Z | # -*- coding: utf-8 -*-
#https://github.com/galsang/BiBloSA-pytorch/blob/master/model/model.py
| 19.4 | 70 | 0.690722 | 14 | 97 | 4.785714 | 0.928571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011236 | 0.082474 | 97 | 4 | 71 | 24.25 | 0.741573 | 0.927835 | 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 |
0935b3a6a31731fca608350755e68650f8fd10d1 | 473 | py | Python | dynamicserialize/dstypes/com/raytheon/uf/common/auth/resp/SuccessfulExecution.py | mjames-upc/python-awips | e2b05f5587b02761df3b6dd5c6ee1f196bd5f11c | [
"BSD-3-Clause"
] | null | null | null | dynamicserialize/dstypes/com/raytheon/uf/common/auth/resp/SuccessfulExecution.py | mjames-upc/python-awips | e2b05f5587b02761df3b6dd5c6ee1f196bd5f11c | [
"BSD-3-Clause"
] | null | null | null | dynamicserialize/dstypes/com/raytheon/uf/common/auth/resp/SuccessfulExecution.py | mjames-upc/python-awips | e2b05f5587b02761df3b6dd5c6ee1f196bd5f11c | [
"BSD-3-Clause"
] | null | null | null | ##
##
# File auto-generated against equivalent DynamicSerialize Java class
class SuccessfulExecution(object):
def __init__(self):
self.response = None
self.updatedData = None
def getResponse(self):
return self.response
def setResponse(self, response):
self.response = response
def getUpdatedData(self):
return self.updatedData
def setUpdatedData(self, updatedData):
self.updatedData = updatedData
| 19.708333 | 68 | 0.678647 | 46 | 473 | 6.891304 | 0.456522 | 0.15142 | 0.088328 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.245243 | 473 | 23 | 69 | 20.565217 | 0.887955 | 0.139535 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.416667 | false | 0 | 0 | 0.166667 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 |
094029e32c3fac9214dc951ca6564f88061ab551 | 124 | py | Python | binner/exception.py | Zbooni/binner | 292236e6bd4668aa904c2cd9a00cacc792984603 | [
"MIT"
] | 29 | 2015-03-19T02:54:31.000Z | 2020-12-21T00:11:35.000Z | binner/exception.py | nadirhamid/binner | 292236e6bd4668aa904c2cd9a00cacc792984603 | [
"MIT"
] | 2 | 2017-11-02T15:58:54.000Z | 2019-12-07T20:45:53.000Z | binner/exception.py | Zbooni/binner | 292236e6bd4668aa904c2cd9a00cacc792984603 | [
"MIT"
] | 10 | 2015-03-19T03:01:28.000Z | 2018-06-28T22:04:05.000Z |
## exception when an error based proportion
## of bins to items is received
class DistributionException(Exception):
pass
| 17.714286 | 43 | 0.782258 | 16 | 124 | 6.0625 | 0.9375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.16129 | 124 | 6 | 44 | 20.666667 | 0.932692 | 0.556452 | 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 |
117de92352dbd13d19056c68909e1500cff214bf | 169 | py | Python | pyPseudo/error/ResolveError.py | johnyob/Pseudo | 02e637e93872e786201538f719cd19676a03c170 | [
"MIT"
] | 1 | 2019-03-10T21:25:47.000Z | 2019-03-10T21:25:47.000Z | pyPseudo/error/ResolveError.py | johnyob/Pseudo | 02e637e93872e786201538f719cd19676a03c170 | [
"MIT"
] | null | null | null | pyPseudo/error/ResolveError.py | johnyob/Pseudo | 02e637e93872e786201538f719cd19676a03c170 | [
"MIT"
] | null | null | null | from pyPseudo.error.RuntimeError import RuntimeError
class ResolveError(RuntimeError):
def __init__(self, token, message):
super().__init__(token, message)
| 28.166667 | 52 | 0.757396 | 18 | 169 | 6.666667 | 0.722222 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.147929 | 169 | 5 | 53 | 33.8 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.25 | 0 | 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 | 0 | 1 | 0 | 0 | 4 |
1190cdf55bf313430c66edb0631bb91371f60135 | 203 | py | Python | rpspp/classifier/_base.py | walwe/rpspp | 0899f54d78a48bc538d9be097899ff2cb50150ce | [
"MIT"
] | 2 | 2021-11-25T13:40:57.000Z | 2022-03-30T04:11:41.000Z | rpspp/classifier/_base.py | walwe/rpspp | 0899f54d78a48bc538d9be097899ff2cb50150ce | [
"MIT"
] | null | null | null | rpspp/classifier/_base.py | walwe/rpspp | 0899f54d78a48bc538d9be097899ff2cb50150ce | [
"MIT"
] | null | null | null |
class ClassifierMixin:
def fit(self, data, labels, test_data=None, test_label=None, log_dir=None):
raise NotImplementedError
def predict(self, data):
raise NotImplementedError
| 22.555556 | 79 | 0.70936 | 24 | 203 | 5.875 | 0.625 | 0.113475 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.211823 | 203 | 8 | 80 | 25.375 | 0.88125 | 0 | 0 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0 | 0 | 0 | 0.6 | 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 | 0 | 1 | 0 | 0 | 4 |
119f0ba9b9f9532a2f86f37e869f10715526a3a2 | 1,544 | py | Python | mys/pygments/pygments/lexers/web.py | eerimoq/sython | 90937bf44b798b9c1ae0d18e31e11e95967b46c6 | [
"MIT"
] | 83 | 2020-08-18T18:48:46.000Z | 2021-01-01T17:00:45.000Z | mys/pygments/pygments/lexers/web.py | eerimoq/sython | 90937bf44b798b9c1ae0d18e31e11e95967b46c6 | [
"MIT"
] | 31 | 2021-01-05T00:32:36.000Z | 2022-02-23T13:34:33.000Z | mys/pygments/pygments/lexers/web.py | eerimoq/sython | 90937bf44b798b9c1ae0d18e31e11e95967b46c6 | [
"MIT"
] | 7 | 2021-01-03T11:53:03.000Z | 2022-02-22T17:49:42.000Z | """
pygments.lexers.web
~~~~~~~~~~~~~~~~~~~
Just export previously exported lexers.
:copyright: Copyright 2006-2021 by the Pygments team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
from pygments.lexers.actionscript import ActionScript3Lexer
from pygments.lexers.actionscript import ActionScriptLexer
from pygments.lexers.actionscript import MxmlLexer
from pygments.lexers.css import CssLexer
from pygments.lexers.css import SassLexer
from pygments.lexers.css import ScssLexer
from pygments.lexers.data import JsonLexer
from pygments.lexers.html import DtdLexer
from pygments.lexers.html import HamlLexer
from pygments.lexers.html import HtmlLexer
from pygments.lexers.html import JadeLexer
from pygments.lexers.html import ScamlLexer
from pygments.lexers.html import XmlLexer
from pygments.lexers.html import XsltLexer
from pygments.lexers.javascript import CoffeeScriptLexer
from pygments.lexers.javascript import DartLexer
from pygments.lexers.javascript import JavascriptLexer
from pygments.lexers.javascript import LassoLexer
from pygments.lexers.javascript import LiveScriptLexer
from pygments.lexers.javascript import ObjectiveJLexer
from pygments.lexers.javascript import TypeScriptLexer
from pygments.lexers.php import PhpLexer
from pygments.lexers.webmisc import DuelLexer
from pygments.lexers.webmisc import QmlLexer
from pygments.lexers.webmisc import SlimLexer
from pygments.lexers.webmisc import XQueryLexer
JSONLexer = JsonLexer # for backwards compatibility with Pygments 1.5
__all__ = []
| 37.658537 | 70 | 0.830311 | 190 | 1,544 | 6.726316 | 0.315789 | 0.295775 | 0.366197 | 0.120501 | 0.584507 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007988 | 0.108161 | 1,544 | 40 | 71 | 38.6 | 0.920116 | 0.152202 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.928571 | 0 | 0.928571 | 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 |
11c0faab3a0cb9d4b29464fdccdbf75f4d47d4c9 | 61 | py | Python | models/vision/detection/configs/faster_rcnn/SM/CI/2/faster_rcnn_r50v1_d_fpn_1x_coco.py | piyushghai/deep-learning-models | eebc5007a9f60540a98ed8ea5f9fbd5786b21db9 | [
"Apache-2.0",
"MIT"
] | 129 | 2018-07-21T11:51:16.000Z | 2022-03-09T07:15:09.000Z | models/vision/detection/configs/faster_rcnn/SM/CI/2/faster_rcnn_r50v1_d_fpn_1x_coco.py | piyushghai/deep-learning-models | eebc5007a9f60540a98ed8ea5f9fbd5786b21db9 | [
"Apache-2.0",
"MIT"
] | 20 | 2018-09-13T23:19:56.000Z | 2021-05-22T02:12:53.000Z | models/vision/detection/configs/faster_rcnn/SM/CI/2/faster_rcnn_r50v1_d_fpn_1x_coco.py | piyushghai/deep-learning-models | eebc5007a9f60540a98ed8ea5f9fbd5786b21db9 | [
"Apache-2.0",
"MIT"
] | 74 | 2018-07-23T12:14:01.000Z | 2022-01-21T05:17:13.000Z | base_files = ['../../2/faster_rcnn_r50v1_d_fpn_1x_coco.py']
| 20.333333 | 59 | 0.721311 | 11 | 61 | 3.363636 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.087719 | 0.065574 | 61 | 2 | 60 | 30.5 | 0.561404 | 0 | 0 | 0 | 0 | 0 | 0.7 | 0.7 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
11eed7b432bb8a6d687d8a88640ab1a4e3bd88f4 | 26 | py | Python | subdomains/__init__.py | abe312/django-subdomains | 4064c485d5161ce7289cdbd861675afe6f037196 | [
"MIT"
] | 26 | 2017-06-30T05:42:00.000Z | 2021-10-04T06:40:23.000Z | subdomains/__init__.py | abe312/django-subdomains | 4064c485d5161ce7289cdbd861675afe6f037196 | [
"MIT"
] | 4 | 2017-09-16T20:12:31.000Z | 2021-12-06T14:14:41.000Z | subdomains/__init__.py | abe312/django-subdomains | 4064c485d5161ce7289cdbd861675afe6f037196 | [
"MIT"
] | 15 | 2017-05-30T06:50:02.000Z | 2020-07-29T20:16:56.000Z | __version__ = (3, 0, '1')
| 13 | 25 | 0.538462 | 4 | 26 | 2.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 0.192308 | 26 | 1 | 26 | 26 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0.038462 | 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 |
eebedd6d18d1335e99b1c8c90a3f2d425e07df1a | 105 | py | Python | backend/program/models.py | solmari323/Hackathon-NASA-2020-II | 893585aef009148a263ee310a0a843854b6d218c | [
"MIT"
] | null | null | null | backend/program/models.py | solmari323/Hackathon-NASA-2020-II | 893585aef009148a263ee310a0a843854b6d218c | [
"MIT"
] | null | null | null | backend/program/models.py | solmari323/Hackathon-NASA-2020-II | 893585aef009148a263ee310a0a843854b6d218c | [
"MIT"
] | null | null | null | from django.db import models
class Program(models.Model):
title = models.CharField(max_length=200)
| 17.5 | 44 | 0.761905 | 15 | 105 | 5.266667 | 0.866667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033333 | 0.142857 | 105 | 5 | 45 | 21 | 0.844444 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
eede212b5dede22b3bffd2a59c3f037f4152e183 | 179 | py | Python | eventlet/green/time.py | CaesarLinsa/Eventlet | 43e832b441977f0344a56d22b267dca443333960 | [
"MIT"
] | 1 | 2015-02-05T19:54:48.000Z | 2015-02-05T19:54:48.000Z | eventlet/green/time.py | CaesarLinsa/Eventlet | 43e832b441977f0344a56d22b267dca443333960 | [
"MIT"
] | null | null | null | eventlet/green/time.py | CaesarLinsa/Eventlet | 43e832b441977f0344a56d22b267dca443333960 | [
"MIT"
] | 1 | 2020-06-27T16:03:14.000Z | 2020-06-27T16:03:14.000Z | __time = __import__('time')
for var in dir(__time):
exec "%s = __time.%s" % (var, var)
__patched__ = ['sleep']
from eventlet.greenthread import sleep
sleep # silence pyflakes
| 25.571429 | 38 | 0.698324 | 24 | 179 | 4.625 | 0.625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.162011 | 179 | 6 | 39 | 29.833333 | 0.74 | 0.089385 | 0 | 0 | 0 | 0 | 0.142857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.333333 | null | null | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4 |
eee42c27192758ba3eaa802a5d3b7992f6143e8d | 746 | py | Python | examples/people_api/flask/load_people.py | sebastiandev/peach | 503a0b00ed1562e8d619c5c6f4ca5be6c1d17339 | [
"MIT"
] | 20 | 2017-04-27T09:00:12.000Z | 2021-11-15T14:28:31.000Z | examples/people_api/flask/load_people.py | sebastiandev/peach | 503a0b00ed1562e8d619c5c6f4ca5be6c1d17339 | [
"MIT"
] | 1 | 2019-12-07T07:42:10.000Z | 2019-12-07T07:42:10.000Z | examples/people_api/flask/load_people.py | sebastiandev/peach | 503a0b00ed1562e8d619c5c6f4ca5be6c1d17339 | [
"MIT"
] | 2 | 2018-08-13T20:10:09.000Z | 2019-03-27T02:04:55.000Z | #!/usr/bin/env python
from peach import Peach
from peach.handlers.flask import FlaskHandler
from peach.utils import module_dir
Peach.init(config=module_dir(__file__), handler=FlaskHandler())
from app import People
People.add(People(name='Lionel', age=28, address='Somewhere in Barcelona'))
People.add(People(name='Radamel', age=30, address='Somewhere in Monaco'))
People.add(People(name='Cristiano', age=29, address='Somewhere in Madrid'))
People.add(People(name='Paulo', age=24, address='Somewhere in Italy'))
People.add(People(name='Luis', age=30, address='Somewhere in Barcelona'))
People.add(People(name='Sebastian', age=33, address='Somewhere in Buenos Aires'))
People.add(People(name='Hernan', age=35, address='Somewhere in Italy'))
| 35.52381 | 81 | 0.760054 | 110 | 746 | 5.1 | 0.4 | 0.112299 | 0.187166 | 0.237077 | 0.213904 | 0.163993 | 0.163993 | 0.163993 | 0 | 0 | 0 | 0.020498 | 0.08445 | 746 | 20 | 82 | 37.3 | 0.800878 | 0.02681 | 0 | 0 | 0 | 0 | 0.26105 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.333333 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 4 |
e11750e9c63062c0d62e834595d198489425a268 | 261 | py | Python | python/solusvm/vm_action.py | BwmBama/scripts | 4dc46ad5522962466d6957b0f1fa6bcac4b73921 | [
"Apache-2.0"
] | 26 | 2016-03-11T21:10:52.000Z | 2021-11-15T05:31:51.000Z | python/solusvm/vm_action.py | BwmBama/scripts | 4dc46ad5522962466d6957b0f1fa6bcac4b73921 | [
"Apache-2.0"
] | 1 | 2020-05-13T10:37:00.000Z | 2020-05-13T10:37:00.000Z | python/solusvm/vm_action.py | BwmBama/scripts | 4dc46ad5522962466d6957b0f1fa6bcac4b73921 | [
"Apache-2.0"
] | 14 | 2016-03-25T14:03:59.000Z | 2022-01-27T06:23:12.000Z | #coding:utf-8
from solusvm import SolusVMClient
from config import SOLUS_URL,SOLUS_CLIENTS
for solus_client in SOLUS_CLIENTS:
solus_client = SolusVMClient(SOLUS_URL,solus_client["key"],solus_client["hash"])
print solus_client.serverStatus().text
| 26.1 | 84 | 0.789272 | 36 | 261 | 5.472222 | 0.527778 | 0.279188 | 0.13198 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004386 | 0.126437 | 261 | 9 | 85 | 29 | 0.859649 | 0.045977 | 0 | 0 | 0 | 0 | 0.028226 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.4 | null | null | 0.2 | 0 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4 |
0112caa47aa9aed9aa08df78fa7411c92fb605dd | 224 | py | Python | chapter3/3_3_1.py | kungbob/Machine_Learning_In_Action | 007db9d2a6c957d314ecd0b4322cad5b04da7113 | [
"MIT"
] | null | null | null | chapter3/3_3_1.py | kungbob/Machine_Learning_In_Action | 007db9d2a6c957d314ecd0b4322cad5b04da7113 | [
"MIT"
] | 1 | 2018-01-05T15:48:33.000Z | 2018-01-05T15:54:22.000Z | chapter3/3_3_1.py | kungbob/Machine_Learning_In_Action | 007db9d2a6c957d314ecd0b4322cad5b04da7113 | [
"MIT"
] | 2 | 2019-02-12T01:35:20.000Z | 2019-03-24T03:00:51.000Z | import trees, treePlotter
myDat, labels = trees.createDataSet()
print(labels)
myTree = treePlotter.retrieveTree(0)
print(myTree)
print(trees.classify(myTree, labels, [1, 0]))
print(trees.classify(myTree, labels, [1, 1]))
| 20.363636 | 45 | 0.745536 | 29 | 224 | 5.758621 | 0.413793 | 0.071856 | 0.215569 | 0.287425 | 0.371257 | 0.371257 | 0 | 0 | 0 | 0 | 0 | 0.024876 | 0.102679 | 224 | 10 | 46 | 22.4 | 0.80597 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0.571429 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 |
01210afa6c3e191ea011a98708fce02e2debe72c | 184 | py | Python | SysPy_ver/func_search.py | evlog/SysPy | d1ee6e2ca60492d20339c0016a9c24d027170553 | [
"CNRI-Python"
] | 4 | 2017-12-28T14:00:16.000Z | 2021-01-21T08:53:14.000Z | SysPy_ver/func_search.py | evlog/SysPy | d1ee6e2ca60492d20339c0016a9c24d027170553 | [
"CNRI-Python"
] | 1 | 2018-07-31T16:27:00.000Z | 2018-07-31T16:27:37.000Z | SysPy_ver/func_search.py | evlog/SysPy | d1ee6e2ca60492d20339c0016a9c24d027170553 | [
"CNRI-Python"
] | 2 | 2015-10-12T09:13:13.000Z | 2020-01-06T12:22:55.000Z | import libs._func_lib
reload(libs._func_lib)
def func_search():
func_vars = libs._func_lib.fir_filt_s([-0.1, 0.2], "1.7")
print("func_search.func_vars:", func_vars)
return func_vars | 30.666667 | 58 | 0.755435 | 35 | 184 | 3.571429 | 0.485714 | 0.256 | 0.264 | 0.288 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035714 | 0.086957 | 184 | 6 | 59 | 30.666667 | 0.708333 | 0 | 0 | 0 | 0 | 0 | 0.135135 | 0.118919 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.166667 | 0 | 0.5 | 0.166667 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
012e04ad5c24ba746a4d0e4268c220f7662e0d7b | 615 | py | Python | homura/utils/__init__.py | wangjunyan305/homura | 815750e927e0eeaac3f5c0bf49d8d46dabaf5988 | [
"Apache-2.0"
] | null | null | null | homura/utils/__init__.py | wangjunyan305/homura | 815750e927e0eeaac3f5c0bf49d8d46dabaf5988 | [
"Apache-2.0"
] | null | null | null | homura/utils/__init__.py | wangjunyan305/homura | 815750e927e0eeaac3f5c0bf49d8d46dabaf5988 | [
"Apache-2.0"
] | null | null | null | from .backends import einsum, torch_to_xp, xp_to_torch
from .benchmarks import timeit
from .containers import TensorDataClass, TensorTuple
from .distributed import (distributed_print, distributed_ready_main, get_global_rank, get_local_rank, get_num_nodes,
get_world_size, if_is_master, init_distributed, is_distributed, is_distributed_available,
is_master)
from .environment import (enable_accimage, get_args, get_environ, get_git_hash, is_accimage_available,
is_faiss_available)
from .reproducibility import set_deterministic, set_seed
| 61.5 | 116 | 0.756098 | 76 | 615 | 5.684211 | 0.539474 | 0.032407 | 0.111111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.196748 | 615 | 9 | 117 | 68.333333 | 0.874494 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.666667 | 0 | 0.666667 | 0.111111 | 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 |
0160dc72e18017efa1f95134eef943e901b0fb14 | 110 | gyp | Python | 3rdParty/nodejs/8.0.0/source/test/addons-napi/test_globals/binding.gyp | Internet-of-People/ApertusVR | 3bb954ef02beb8a5a54ac7c062a55b7a0cf402bf | [
"MIT"
] | null | null | null | 3rdParty/nodejs/8.0.0/source/test/addons-napi/test_globals/binding.gyp | Internet-of-People/ApertusVR | 3bb954ef02beb8a5a54ac7c062a55b7a0cf402bf | [
"MIT"
] | null | null | null | 3rdParty/nodejs/8.0.0/source/test/addons-napi/test_globals/binding.gyp | Internet-of-People/ApertusVR | 3bb954ef02beb8a5a54ac7c062a55b7a0cf402bf | [
"MIT"
] | null | null | null | {
"targets": [
{
"target_name": "test_globals",
"sources": [ "test_globals.c" ]
}
]
}
| 12.222222 | 37 | 0.454545 | 9 | 110 | 5.222222 | 0.777778 | 0.468085 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.336364 | 110 | 8 | 38 | 13.75 | 0.643836 | 0 | 0 | 0 | 0 | 0 | 0.463636 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 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 |
6d780ad0bb0e1ab1f0d8fbe4f8c8201497586e15 | 368 | py | Python | good_practice_examples/cms_app.py | bitmazk/django-good-practice-examples | 923789b29790e4e0617b94a81db0b7f4c8537231 | [
"MIT"
] | null | null | null | good_practice_examples/cms_app.py | bitmazk/django-good-practice-examples | 923789b29790e4e0617b94a81db0b7f4c8537231 | [
"MIT"
] | 2 | 2020-02-11T23:25:49.000Z | 2020-06-05T17:24:26.000Z | good_practice_examples/cms_app.py | bitlabstudio/django-good-practice-examples | 923789b29790e4e0617b94a81db0b7f4c8537231 | [
"MIT"
] | 2 | 2016-05-11T02:05:06.000Z | 2016-06-12T20:09:57.000Z | """CMS app-hook for the ``good_practice_examples`` app."""
from cms.app_base import CMSApp
from cms.apphook_pool import apphook_pool
from django.utils.translation import ugettext_lazy as _
class GoodPracticeExamplesApphook(CMSApp):
name = _("Good practice examples")
urls = ["good_practice_examples.urls"]
apphook_pool.register(GoodPracticeExamplesApphook)
| 30.666667 | 58 | 0.796196 | 46 | 368 | 6.130435 | 0.543478 | 0.12766 | 0.212766 | 0.170213 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.11413 | 368 | 11 | 59 | 33.454545 | 0.865031 | 0.141304 | 0 | 0 | 0 | 0 | 0.158065 | 0.087097 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.428571 | 0 | 0.857143 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
6d845bead79007d9272ad8979290c4b8b801b0c1 | 310 | py | Python | gamecraft/django_prometheus_light/views.py | micktwomey/gamecraft-mk-iii | b1d649571a4d0725d20eaa6988e063a1eddd8843 | [
"MIT"
] | 1 | 2015-09-08T20:09:58.000Z | 2015-09-08T20:09:58.000Z | gamecraft/django_prometheus_light/views.py | micktwomey/gamecraft-mk-iii | b1d649571a4d0725d20eaa6988e063a1eddd8843 | [
"MIT"
] | null | null | null | gamecraft/django_prometheus_light/views.py | micktwomey/gamecraft-mk-iii | b1d649571a4d0725d20eaa6988e063a1eddd8843 | [
"MIT"
] | null | null | null | from django.http import HttpResponse
from django.views.decorators.cache import never_cache
from prometheus_client import generate_latest, CONTENT_TYPE_LATEST
@never_cache
def metrics(request):
"""Exposes prometheus metrics"""
return HttpResponse(generate_latest(), content_type=CONTENT_TYPE_LATEST)
| 28.181818 | 76 | 0.825806 | 39 | 310 | 6.307692 | 0.512821 | 0.134146 | 0.170732 | 0.203252 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.106452 | 310 | 10 | 77 | 31 | 0.888087 | 0.083871 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.5 | 0 | 0.833333 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
6de928d71ed038140c879dfba7c2191967159282 | 92 | py | Python | oddt/scoring/functions/__init__.py | mwojcikowski/opendrugdiscovery | 174b22f6a9378bfbb1f435a6e71cad13218e5e6d | [
"BSD-3-Clause"
] | null | null | null | oddt/scoring/functions/__init__.py | mwojcikowski/opendrugdiscovery | 174b22f6a9378bfbb1f435a6e71cad13218e5e6d | [
"BSD-3-Clause"
] | null | null | null | oddt/scoring/functions/__init__.py | mwojcikowski/opendrugdiscovery | 174b22f6a9378bfbb1f435a6e71cad13218e5e6d | [
"BSD-3-Clause"
] | null | null | null | from .RFScore import rfscore
from .NNScore import nnscore
__all__ = ['rfscore', 'nnscore']
| 18.4 | 32 | 0.75 | 11 | 92 | 5.909091 | 0.454545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.141304 | 92 | 4 | 33 | 23 | 0.822785 | 0 | 0 | 0 | 0 | 0 | 0.152174 | 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 |
097f25194131547181a422a1632ae39e9de574d6 | 1,110 | py | Python | tools/scoring/dimensions/entity/connection_identification.py | ahemphill/digitalbuildings | 56a03b0055f9f771c3ed0a962f6bfb2b1d968947 | [
"Apache-2.0"
] | null | null | null | tools/scoring/dimensions/entity/connection_identification.py | ahemphill/digitalbuildings | 56a03b0055f9f771c3ed0a962f6bfb2b1d968947 | [
"Apache-2.0"
] | null | null | null | tools/scoring/dimensions/entity/connection_identification.py | ahemphill/digitalbuildings | 56a03b0055f9f771c3ed0a962f6bfb2b1d968947 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the License);
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an AS IS BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
# Entity Connection Identification
# Connections are scored on targets (because this is where they are defined).
# Connections can be scored:
# (correctly defined connections) - (incorrectly defined connections) total
# connections
# In addition to overall score, sub-scores should be available for connections
# where the source is another piece of equipment vs. a Facilities entity
# (building/floor).
"""
from dimensions.dimension import Dimension
class ConnectionIdentification(Dimension):
def __init__(self):
pass
| 29.210526 | 78 | 0.769369 | 155 | 1,110 | 5.483871 | 0.670968 | 0.070588 | 0.030588 | 0.037647 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008658 | 0.167568 | 1,110 | 37 | 79 | 30 | 0.911255 | 0.858559 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0.25 | 0.25 | 0 | 0.75 | 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 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 |
098d7e7d695e220d942c49498f755e6fd11b63b9 | 302 | py | Python | numba/nodes/bitwise.py | liuzhenhai/numba | 855a2b262ae3d82bd6ac1c3e1c0acb36ee2e2acf | [
"BSD-2-Clause"
] | 1 | 2015-01-29T06:52:36.000Z | 2015-01-29T06:52:36.000Z | numba/nodes/bitwise.py | shiquanwang/numba | a41c85fdd7d6abf8ea1ebe9116939ddc2217193b | [
"BSD-2-Clause"
] | null | null | null | numba/nodes/bitwise.py | shiquanwang/numba | a41c85fdd7d6abf8ea1ebe9116939ddc2217193b | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import print_function, division, absolute_import
import ast
from numba.nodes import *
from numba import typesystem
def is_bitwise(op):
return isinstance(op, (ast.BitAnd, ast.BitOr, ast.BitXor,
ast.LShift, ast.RShift, ast.Invert))
| 30.2 | 64 | 0.68543 | 40 | 302 | 5 | 0.65 | 0.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004184 | 0.208609 | 302 | 9 | 65 | 33.555556 | 0.832636 | 0.069536 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.571429 | 0.142857 | 0.857143 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 4 |
099b3998ec6594f107e88d4dc335fde806a6e990 | 231 | py | Python | pyvalidator/utils/includes.py | theteladras/py.validator | 624ace7973552c8ac9353f48acbf96ec0ecc24a9 | [
"MIT"
] | 15 | 2021-11-01T14:14:56.000Z | 2022-03-17T11:52:29.000Z | pyvalidator/utils/includes.py | theteladras/py.validator | 624ace7973552c8ac9353f48acbf96ec0ecc24a9 | [
"MIT"
] | 1 | 2022-03-16T13:39:16.000Z | 2022-03-17T09:16:00.000Z | pyvalidator/utils/includes.py | theteladras/py.validator | 624ace7973552c8ac9353f48acbf96ec0ecc24a9 | [
"MIT"
] | null | null | null | def includes(list, val):
return val in list
def includesNot(list, val):
return val not in list
def includesSome(list, listVal):
for item in listVal:
if item in list:
return True
return False
| 16.5 | 32 | 0.636364 | 33 | 231 | 4.454545 | 0.454545 | 0.122449 | 0.176871 | 0.217687 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.30303 | 231 | 13 | 33 | 17.769231 | 0.913043 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0.222222 | 0.777778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 |
09c229700e438633ec5e16ce0063c5c31acdbd91 | 177 | py | Python | 03.Complete Python Developer - Zero to Mastery - AN/03.Advanced Python Object Oriented Programming/mro example.py | ptyadana/python-dojo | 98c7234b84f0afea99a091c7198342d66bbdff5b | [
"MIT"
] | 3 | 2020-06-01T04:17:18.000Z | 2020-12-18T03:05:55.000Z | 03.Complete Python Developer - Zero to Mastery - AN/03.Advanced Python Object Oriented Programming/mro example.py | ptyadana/python-dojo | 98c7234b84f0afea99a091c7198342d66bbdff5b | [
"MIT"
] | 1 | 2020-04-25T08:01:59.000Z | 2020-04-25T08:01:59.000Z | 03.Complete Python Developer - Zero to Mastery - AN/03.Advanced Python Object Oriented Programming/mro example.py | ptyadana/python-dojo | 98c7234b84f0afea99a091c7198342d66bbdff5b | [
"MIT"
] | 7 | 2020-04-26T10:02:36.000Z | 2021-06-08T05:12:46.000Z | # https://data-flair.training/blogs/python-multiple-inheritance/
class X:pass
class Y: pass
class Z:pass
class A(X,Y):pass
class B(Y,Z):pass
class M(B,A,Z):pass
print(M.mro()) | 17.7 | 64 | 0.723164 | 36 | 177 | 3.555556 | 0.5 | 0.351563 | 0.15625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.096045 | 177 | 10 | 65 | 17.7 | 0.8 | 0.350282 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.857143 | 0 | 0 | 0.857143 | 0.142857 | 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 | 1 | 0 | 0 | 1 | 0 | 0 | 4 |
09df289ceb225a0f1cdb372b38af5c1fb6a84e1f | 16,626 | py | Python | length/tests.py | Tiki92/converter | a14582bfec5b3cc4b5bb299f2fe1c55cb7ef4437 | [
"MIT"
] | null | null | null | length/tests.py | Tiki92/converter | a14582bfec5b3cc4b5bb299f2fe1c55cb7ef4437 | [
"MIT"
] | null | null | null | length/tests.py | Tiki92/converter | a14582bfec5b3cc4b5bb299f2fe1c55cb7ef4437 | [
"MIT"
] | null | null | null | from django.test import TestCase, Client
from django.urls import reverse
class TestLengthConversion(TestCase):
"""
This class contains tests that convert measurements from one
unit of measurement to another.
"""
def setUp(self):
"""
This method runs before the execution of each test case.
"""
self.client = Client()
self.url = reverse("length:convert")
def test_centimetre_to_metre_conversion(self):
"""
Tests conversion of centimetre measurements to metre.
"""
data = {
"input_unit": "centimetre",
"output_unit": "metre",
"input_value": round(8096.894, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 80.969)
def test_centimetre_to_mile_conversion(self):
data = {
"input_unit": "centimetre",
"output_unit": "mile",
"input_value": round(985805791.3527409, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 6125.511)
def test_centimetre_to_inch_conversion(self):
data = {
"input_unit": "centimetre",
"output_unit": "inch",
"input_value": round(123.442, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 48.599)
def test_centimetre_to_kilometre_conversion(self):
data = {
"input_unit": "centimetre",
"output_unit": "kilometre",
"input_value": round(439723.442664, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 4.397)
def test_centimetre_to_yard_conversion(self):
data = {
"input_unit": "centimetre",
"output_unit": "yard",
"input_value": round(568.2326599, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 6.214)
def test_centimetre_to_millimetre_conversion(self):
data = {
"input_unit": "centimetre",
"output_unit": "millimetre",
"input_value": round(45.455, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 454.55)
def test_centimetre_to_foot_conversion(self):
data = {
"input_unit": "centimetre",
"output_unit": "foot",
"input_value": round(346.653, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 11.373)
def test_metre_to_centimetres_conversion(self):
data = {
"input_unit": "metre",
"output_unit": "centimetre",
"input_value": round(12.264, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 1226.4)
def test_metre_to_miles_conversion(self):
data = {
"input_unit": "metre",
"output_unit": "mile",
"input_value": round(3486.25479998, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 2.166)
def test_metre_to_inch_conversion(self):
data = {
"input_unit": "metre",
"output_unit": "inch",
"input_value": round(23.3698, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 920.070)
def test_metre_to_kilometre_conversion(self):
data = {
"input_unit": "metre",
"output_unit": "kilometre",
"input_value": round(85.369, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 0.085)
def test_metre_to_yard_conversion(self):
data = {
"input_unit": "metre",
"output_unit": "yard",
"input_value": round(54.5874, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 59.697)
def test_metre_to_millimetre_conversion(self):
data = {
"input_unit": "metre",
"output_unit": "millimetre",
"input_value": round(9, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 9000)
def test_metre_to_foot_conversion(self):
data = {
"input_unit": "metre",
"output_unit": "foot",
"input_value": round(5874.25, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 19272)
def test_mile_to_centimetre_conversion(self):
data = {
"input_unit": "mile",
"output_unit": "centimetre",
"input_value": round(12.563, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 2021813.842)
def test_mile_to_metres_conversion(self):
data = {
"input_unit": "mile",
"output_unit": "metre",
"input_value": round(24.254, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 39032.932)
def test_mile_to_inch_conversion(self):
data = {
"input_unit": "mile",
"output_unit": "inch",
"input_value": round(45.789, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 2901183.829)
def test_mile_to_kilometre_conversion(self):
data = {
"input_unit": "mile",
"output_unit": "kilometre",
"input_value": round(15.897, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 25.584)
def test_mile_to_yard_conversion(self):
data = {
"input_unit": "mile",
"output_unit": "yard",
"input_value": round(78.123, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 137496.138)
def test_mile_to_millimetre_conversion(self):
data = {
"input_unit": "mile",
"output_unit": "millimetre",
"input_value": round(568.214, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 914449518.76)
def test_mile_to_foot_conversion(self):
data = {
"input_unit": "mile",
"output_unit": "foot",
"input_value": round(48.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 254732.967)
def test_inch_to_centimetre_conversion(self):
data = {
"input_unit": "inch",
"output_unit": "centimetre",
"input_value": round(48.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 122.542)
def test_inch_to_metre_conversion(self):
data = {
"input_unit": "inch",
"output_unit": "metre",
"input_value": round(48.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 1.225)
def test_inch_to_mile_conversion(self):
data = {
"input_unit": "inch",
"output_unit": "mile",
"input_value": round(48.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 0.001)
def test_inch_to_yard_conversion(self):
data = {
"input_unit": "inch",
"output_unit": "yard",
"input_value": round(48.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 1.34)
def test_inch_to_millimetre_conversion(self):
data = {
"input_unit": "inch",
"output_unit": "millimetre",
"input_value": round(48.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 1225.423)
def test_inch_to_foot_conversion(self):
data = {
"input_unit": "inch",
"output_unit": "foot",
"input_value": round(48.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 4.02)
def test_kilometre_to_centimtre_conversion(self):
data = {
"input_unit": "kilometre",
"output_unit": "centimetre",
"input_value": round(484.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 48424500.0)
def test_kilometre_to_metre_conversion(self):
data = {
"input_unit": "kilometre",
"output_unit": "metre",
"input_value": round(484.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 484245.0)
def test_kilometre_to_mile_conversion(self):
data = {
"input_unit": "kilometre",
"output_unit": "mile",
"input_value": round(484.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 300.896)
def test_kilometre_to_inch_conversion(self):
data = {
"input_unit": "kilometre",
"output_unit": "inch",
"input_value": round(484.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 19064763.779)
def test_kilometre_to_yard_conversion(self):
data = {
"input_unit": "kilometre",
"output_unit": "yard",
"input_value": round(484.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 529576.772)
def test_kilometre_to_millimetre_conversion(self):
data = {
"input_unit": "kilometre",
"output_unit": "millimetre",
"input_value": round(484.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 484245000.0)
def test_kilometre_to_foot_conversion(self):
data = {
"input_unit": "kilometre",
"output_unit": "foot",
"input_value": round(484.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 1588730.315)
def test_yard_to_centimetre_conversion(self):
data = {
"input_unit": "yard",
"output_unit": "centimetre",
"input_value": round(484.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 44279.363)
def test_yard_to_metre_conversion(self):
data = {
"input_unit": "yard",
"output_unit": "metre",
"input_value": round(484.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 442.794)
def test_yard_to_mile_conversion(self):
data = {
"input_unit": "yard",
"output_unit": "mile",
"input_value": round(484.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 0.275)
def test_yard_to_inch_conversion(self):
data = {
"input_unit": "yard",
"output_unit": "inch",
"input_value": round(484.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 17432.82)
def test_yard_to_kilometre_conversion(self):
data = {
"input_unit": "yard",
"output_unit": "kilometre",
"input_value": round(484.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 0.443)
def test_yard_to_millimetre_conversion(self):
data = {
"input_unit": "yard",
"output_unit": "millimetre",
"input_value": round(484.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 442793.628)
def test_yard_to_foot_conversion(self):
data = {
"input_unit": "yard",
"output_unit": "foot",
"input_value": round(484.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 1452.735)
def test_millimetre_to_centimetre_conversion(self):
data = {
"input_unit": "millimetre",
"output_unit": "centimetre",
"input_value": round(484.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 48.425)
def test_millimetre_to_metre_conversion(self):
data = {
"input_unit": "millimetre",
"output_unit": "metre",
"input_value": round(484.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 0.484)
def test_millimetre_to_mile_conversion(self):
data = {
"input_unit": "millimetre",
"output_unit": "mile",
"input_value": round(484.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 0.0)
def test_millimetre_to_inch_conversion(self):
data = {
"input_unit": "millimetre",
"output_unit": "inch",
"input_value": round(484.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 19.065)
def test_millimetre_to_kilometre_conversion(self):
data = {
"input_unit": "millimetre",
"output_unit": "kilometre",
"input_value": round(484.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 0.0)
def test_millimetre_to_yard_conversion(self):
data = {
"input_unit": "millimetre",
"output_unit": "yard",
"input_value": round(484.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 0.53)
def test_millimetre_to_foot_conversion(self):
data = {
"input_unit": "millimetre",
"output_unit": "foot",
"input_value": round(484.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 1.589)
def test_foot_to_centimetre_conversion(self):
data = {
"input_unit": "foot",
"output_unit": "centimetre",
"input_value": round(484.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 14759.788)
def test_foot_to_metre_conversion(self):
data = {
"input_unit": "foot",
"output_unit": "metre",
"input_value": round(484.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 147.598)
def test_foot_to_mile_conversion(self):
data = {
"input_unit": "foot",
"output_unit": "mile",
"input_value": round(484.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 0.092)
def test_foot_to_inch_conversion(self):
data = {
"input_unit": "foot",
"output_unit": "inch",
"input_value": round(484.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 5810.94)
def test_foot_to_kilometre_conversion(self):
data = {
"input_unit": "foot",
"output_unit": "kilometre",
"input_value": round(484.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 0.148)
def test_foot_to_yard_conversion(self):
data = {
"input_unit": "foot",
"output_unit": "yard",
"input_value": round(484.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 161.415)
def test_foot_to_millimetre_conversion(self):
data = {
"input_unit": "foot",
"output_unit": "millimetre",
"input_value": round(484.245, 3)
}
response = self.client.get(self.url, data)
self.assertContains(response, 147597.876)
| 32.22093 | 64 | 0.562312 | 1,813 | 16,626 | 4.944291 | 0.097628 | 0.062472 | 0.079764 | 0.116577 | 0.836457 | 0.830768 | 0.781348 | 0.730366 | 0.503458 | 0.503458 | 0 | 0.063386 | 0.313004 | 16,626 | 515 | 65 | 32.283495 | 0.721415 | 0.01221 | 0 | 0.576233 | 0 | 0 | 0.150465 | 0 | 0 | 0 | 0 | 0 | 0.123318 | 1 | 0.125561 | false | 0 | 0.004484 | 0 | 0.132287 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
09e90523a6979663cb3a2a00a42b07163debeb4e | 231 | py | Python | backend/Sapereaude.py | josuuribe/sapereaude | 2e221fa9c5cc5c1a5fa927146e15bfd950766009 | [
"Apache-2.0"
] | null | null | null | backend/Sapereaude.py | josuuribe/sapereaude | 2e221fa9c5cc5c1a5fa927146e15bfd950766009 | [
"Apache-2.0"
] | null | null | null | backend/Sapereaude.py | josuuribe/sapereaude | 2e221fa9c5cc5c1a5fa927146e15bfd950766009 | [
"Apache-2.0"
] | null | null | null | import sys
from Console import Console
sys.path.extend(['E:\\Proyectos\\sapereaude', 'E:\\Proyectos\\sapereaude\\backend', 'E:/Proyectos/sapereaude'])
if __name__ == '__main__':
console = Console(sys.argv)
console.show()
| 25.666667 | 111 | 0.705628 | 28 | 231 | 5.535714 | 0.535714 | 0.193548 | 0.387097 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.116883 | 231 | 8 | 112 | 28.875 | 0.759804 | 0 | 0 | 0 | 0 | 0 | 0.38961 | 0.354978 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 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 |
09f997c8abcb17d8247317e2687e858b53a84afa | 148 | py | Python | tests/test_easy_problems/test_1_to_50/test_two_sum_ii.py | ivan1016017/LeetCodeAlgorithmProblems | 454284b76634cc34ed41f7fa30d857403cedf1bf | [
"MIT"
] | null | null | null | tests/test_easy_problems/test_1_to_50/test_two_sum_ii.py | ivan1016017/LeetCodeAlgorithmProblems | 454284b76634cc34ed41f7fa30d857403cedf1bf | [
"MIT"
] | 1 | 2021-09-22T12:26:14.000Z | 2021-09-22T12:26:14.000Z | tests/test_easy_problems/test_1_to_50/test_two_sum_ii.py | ivan1016017/LeetCodeAlgorithmProblems | 454284b76634cc34ed41f7fa30d857403cedf1bf | [
"MIT"
] | null | null | null | from faker import Faker
import unittest
class TestTwoNumbersTestCase(unittest.TestCase):
def test_empty(self):
self.assertEqual(1,1) | 16.444444 | 48 | 0.75 | 18 | 148 | 6.111111 | 0.722222 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016393 | 0.175676 | 148 | 9 | 49 | 16.444444 | 0.885246 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2 | 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 |
61edae10e2e232866444d739766c12f05260df3d | 249 | py | Python | mmcls/models/necks/__init__.py | apulis/ApulisVision | d1f226f4bc769b03c5565b9d6e76dd9823771cc7 | [
"Apache-2.0"
] | 1 | 2020-09-09T05:10:39.000Z | 2020-09-09T05:10:39.000Z | mmcls/models/necks/__init__.py | apulis/ApulisVision | d1f226f4bc769b03c5565b9d6e76dd9823771cc7 | [
"Apache-2.0"
] | null | null | null | mmcls/models/necks/__init__.py | apulis/ApulisVision | d1f226f4bc769b03c5565b9d6e76dd9823771cc7 | [
"Apache-2.0"
] | 1 | 2021-03-31T02:00:13.000Z | 2021-03-31T02:00:13.000Z | from .adaptive_avgmaxpool2d import AdaptiveAvgMaxPool2d
from .adaptive_catavgmaxpool2d import AdaptiveCatAvgMaxPool2d
from .gap import GlobalAveragePooling
__all__ = [
'GlobalAveragePooling', 'AdaptiveAvgMaxPool2d', 'AdaptiveCatAvgMaxPool2d'
]
| 31.125 | 77 | 0.84739 | 18 | 249 | 11.388889 | 0.555556 | 0.117073 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026667 | 0.096386 | 249 | 7 | 78 | 35.571429 | 0.884444 | 0 | 0 | 0 | 0 | 0 | 0.253012 | 0.092369 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4 |
1113cef620acb8aaf313b7e4db4a75d5db02ae61 | 102 | py | Python | file_and_io/chdir.py | daiyadong/python2_learn | 6930ddc3dd2edfc31064b1a8001ad826a775e912 | [
"Apache-2.0"
] | null | null | null | file_and_io/chdir.py | daiyadong/python2_learn | 6930ddc3dd2edfc31064b1a8001ad826a775e912 | [
"Apache-2.0"
] | null | null | null | file_and_io/chdir.py | daiyadong/python2_learn | 6930ddc3dd2edfc31064b1a8001ad826a775e912 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python2
# -*- coding: UTF-8 -*-
import os
# 将当前目录改为"/home/newdir"
os.chdir("/tmp") | 14.571429 | 24 | 0.568627 | 14 | 102 | 4.142857 | 0.928571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.024096 | 0.186275 | 102 | 7 | 25 | 14.571429 | 0.674699 | 0.598039 | 0 | 0 | 0 | 0 | 0.121212 | 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 |
111a49832cf511f4c23e7b47b76d2fc565b26d2f | 198 | py | Python | server/instances/config.py | Chikuji/intelligent-systems-project | 9b5e6e8ece24ecbf198ba717b86f1255df00373b | [
"MIT"
] | null | null | null | server/instances/config.py | Chikuji/intelligent-systems-project | 9b5e6e8ece24ecbf198ba717b86f1255df00373b | [
"MIT"
] | null | null | null | server/instances/config.py | Chikuji/intelligent-systems-project | 9b5e6e8ece24ecbf198ba717b86f1255df00373b | [
"MIT"
] | null | null | null | import os
MODEL_PATH = os.environ['MODEL_PATH']
NLTK_STOPWORDS_PATH = os.environ['API_DIR'] + os.environ['NLTK_STOPWORDS_PATH']
JSON_TEST = os.environ['API_DIR'] + os.environ['JSON_TEST'] | 33 | 79 | 0.722222 | 30 | 198 | 4.433333 | 0.366667 | 0.338346 | 0.195489 | 0.225564 | 0.360902 | 0.360902 | 0 | 0 | 0 | 0 | 0 | 0 | 0.126263 | 198 | 6 | 80 | 33 | 0.768786 | 0 | 0 | 0 | 0 | 0 | 0.261307 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
1132c536d33aea4d0af3365706885bd1836b3f8c | 263 | py | Python | main/serializer.py | mayconabe/djangorest | 22b582188685831ac189216ca91b403ec60fc33e | [
"MIT"
] | 1 | 2022-01-11T22:16:34.000Z | 2022-01-11T22:16:34.000Z | main/serializer.py | mayconabe/djangorest | 22b582188685831ac189216ca91b403ec60fc33e | [
"MIT"
] | null | null | null | main/serializer.py | mayconabe/djangorest | 22b582188685831ac189216ca91b403ec60fc33e | [
"MIT"
] | null | null | null | from rest_framework import serializers
from main.models import Usuario
class UsuarioSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = Usuario
fields = ['url', 'id', 'nome', 'sobrenome', 'data_nasc', 'idade', 'is_admin'] | 32.875 | 85 | 0.714829 | 28 | 263 | 6.607143 | 0.821429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.171103 | 263 | 8 | 85 | 32.875 | 0.848624 | 0 | 0 | 0 | 0 | 0 | 0.151515 | 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 |
114d734204b71ab9b24c4a0b9836ae798d6336ac | 7,006 | py | Python | graylog/models/__init__.py | yumimobi/graylog.py | 3118f4a49c91c2cbbd660523b0ab99e56fbfd861 | [
"Apache-2.0"
] | 10 | 2016-09-27T08:13:22.000Z | 2018-09-04T13:15:42.000Z | graylog/models/__init__.py | yumimobi/graylog.py | 3118f4a49c91c2cbbd660523b0ab99e56fbfd861 | [
"Apache-2.0"
] | 1 | 2019-08-28T16:16:09.000Z | 2019-08-28T16:16:09.000Z | graylog/models/__init__.py | yumimobi/graylog.py | 3118f4a49c91c2cbbd660523b0ab99e56fbfd861 | [
"Apache-2.0"
] | 5 | 2016-11-03T07:45:18.000Z | 2021-08-19T14:21:49.000Z | # coding: utf-8
"""
No descripton provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: 2.1.1+01d50e5
Generated by: https://github.com/swagger-api/swagger-codegen.git
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
from __future__ import absolute_import
# import models into model package
from .alert_list_summary import AlertListSummary
from .all_indices import AllIndices
from .bulk_rule_request import BulkRuleRequest
from .change_password_request import ChangePasswordRequest
from .change_user_request import ChangeUserRequest
from .clone_stream_request import CloneStreamRequest
from .closed_indices import ClosedIndices
from .cluster_config_list import ClusterConfigList
from .cluster_data_set import ClusterDataSet
from .cluster_health import ClusterHealth
from .cluster_name import ClusterName
from .cluster_stats import ClusterStats
from .collector_list import CollectorList
from .collector_registration_request import CollectorRegistrationRequest
from .collector_summary import CollectorSummary
from .configuration_bundle import ConfigurationBundle
from .create_dashboard_request import CreateDashboardRequest
from .create_output_request import CreateOutputRequest
from .create_saved_search_request import CreateSavedSearchRequest
from .create_stream_request import CreateStreamRequest
from .create_user_request import CreateUserRequest
from .dashboard_list import DashboardList
from .debug_event import DebugEvent
from .decorator_impl import DecoratorImpl
from .deflector_summary import DeflectorSummary
from .display_getting_started import DisplayGettingStarted
from .elasticsearch_stats import ElasticsearchStats
from .export_bundle import ExportBundle
from .exposed_configuration import ExposedConfiguration
from .failure_count import FailureCount
from .field_stats_result import FieldStatsResult
from .filter_description import FilterDescription
from .fs_stats import FsStats
from .grok_pattern import GrokPattern
from .grok_pattern_list import GrokPatternList
from .grok_pattern_summary import GrokPatternSummary
from .histogram_result import HistogramResult
from .index_info import IndexInfo
from .index_range_summary import IndexRangeSummary
from .index_ranges_response import IndexRangesResponse
from .indexer_overview import IndexerOverview
from .indices_read_request import IndicesReadRequest
from .input_create_request import InputCreateRequest
from .input_created import InputCreated
from .input_deleted import InputDeleted
from .input_state_summary import InputStateSummary
from .input_states_list import InputStatesList
from .input_summary import InputSummary
from .input_type_info import InputTypeInfo
from .input_types_summary import InputTypesSummary
from .inputs_list import InputsList
from .journal_summary_response import JournalSummaryResponse
from .jvm_stats import JvmStats
from .ldap_settings_request import LdapSettingsRequest
from .ldap_settings_response import LdapSettingsResponse
from .ldap_test_config_request import LdapTestConfigRequest
from .ldap_test_config_response import LdapTestConfigResponse
from .log_messages_summary import LogMessagesSummary
from .loggers_summary import LoggersSummary
from .map_data_search_request import MapDataSearchRequest
from .map_data_search_result import MapDataSearchResult
from .message_count_response import MessageCountResponse
from .message_parse_request import MessageParseRequest
from .message_processors_config_with_descriptors import MessageProcessorsConfigWithDescriptors
from .message_tokens import MessageTokens
from .metric_names_response import MetricNamesResponse
from .metrics_read_request import MetricsReadRequest
from .metrics_summary_response import MetricsSummaryResponse
from .mongo_stats import MongoStats
from .network_stats import NetworkStats
from .node_data_set import NodeDataSet
from .node_summary import NodeSummary
from .node_summary_list import NodeSummaryList
from .open_indices_info import OpenIndicesInfo
from .os_stats import OsStats
from .output import Output
from .output_list_response import OutputListResponse
from .output_summary import OutputSummary
from .permission_edit_request import PermissionEditRequest
from .pipeline_connections import PipelineConnections
from .pipeline_source import PipelineSource
from .plugin_list import PluginList
from .process_stats import ProcessStats
from .reader_permission_response import ReaderPermissionResponse
from .retention_strategies import RetentionStrategies
from .retention_strategy_description import RetentionStrategyDescription
from .retention_strategy_summary import RetentionStrategySummary
from .role_membership_response import RoleMembershipResponse
from .role_response import RoleResponse
from .roles_response import RolesResponse
from .rotation_strategies import RotationStrategies
from .rotation_strategy_description import RotationStrategyDescription
from .rotation_strategy_summary import RotationStrategySummary
from .rule_source import RuleSource
from .search_response import SearchResponse
from .session_create_request import SessionCreateRequest
from .session_response import SessionResponse
from .session_validation_response import SessionValidationResponse
from .simulation_request import SimulationRequest
from .simulation_response import SimulationResponse
from .sources_list import SourcesList
from .stream_list_response import StreamListResponse
from .stream_response import StreamResponse
from .subsystem_summary import SubsystemSummary
from .system_jvm_response import SystemJVMResponse
from .system_job_summary import SystemJobSummary
from .system_overview_response import SystemOverviewResponse
from .system_stats import SystemStats
from .system_thread_dump_response import SystemThreadDumpResponse
from .terms_result import TermsResult
from .terms_stats_result import TermsStatsResult
from .test_match_response import TestMatchResponse
from .throughput import Throughput
from .token import Token
from .token_list import TokenList
from .trigger_request import TriggerRequest
from .update_dashboard_request import UpdateDashboardRequest
from .update_stream_request import UpdateStreamRequest
from .update_user_preferences import UpdateUserPreferences
from .usage_stats_configuration_response import UsageStatsConfigurationResponse
from .usage_stats_opt_out_state import UsageStatsOptOutState
from .user_list import UserList
from .user_summary import UserSummary
from .widget_positions_request import WidgetPositionsRequest
| 46.397351 | 104 | 0.878533 | 823 | 7,006 | 7.233293 | 0.402187 | 0.052411 | 0.009575 | 0.007055 | 0.012767 | 0.012767 | 0.012767 | 0 | 0 | 0 | 0 | 0.002051 | 0.09549 | 7,006 | 150 | 105 | 46.706667 | 0.937352 | 0.110762 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.008 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
fefe881a3a4f8e5e6ea6c1c0e39fd59b43d84b17 | 500 | py | Python | __version__.py | alexanderepstein/cryptowatch | 7fed9abe67b32e5a7dff798b8f8d8f1f9bbcdd53 | [
"MIT"
] | 331 | 2017-09-10T05:23:05.000Z | 2022-03-07T14:51:04.000Z | __version__.py | alexanderepstein/cryptowatch | 7fed9abe67b32e5a7dff798b8f8d8f1f9bbcdd53 | [
"MIT"
] | 16 | 2017-09-10T14:03:50.000Z | 2021-05-26T19:35:53.000Z | __version__.py | alexanderepstein/cryptowatch | 7fed9abe67b32e5a7dff798b8f8d8f1f9bbcdd53 | [
"MIT"
] | 44 | 2017-09-10T08:15:15.000Z | 2021-03-13T11:05:14.000Z | #_________ __ __ .__
#\_ ___ \_______ ___.__._______/ |_ ______ _ _______ _/ |_ ____ | |__
#/ \ \/\_ __ < | |\____ \ __\/ _ \ \/ \/ /\__ \\ __\/ ___\| | \
#\ \____| | \/\___ || |_> > | ( <_> ) / / __ \| | \ \___| Y \
# \______ /|__| / ____|| __/|__| \____/ \/\_/ (____ /__| \___ >___| /
# \/ \/ |__| \/ \/ \/
__version__ = '0.0.11'
| 62.5 | 80 | 0.286 | 5 | 500 | 2.4 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01581 | 0.494 | 500 | 7 | 81 | 71.428571 | 0.031621 | 0.93 | 0 | 0 | 0 | 0 | 0.206897 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
3a186f95dc329e5b36a42bc2f5c86ee955952334 | 301 | py | Python | tests/test_base.py | azevakin/django-google-json-style-api | f1d8058ed7ce03368ea36ca333e96e21fa74b2e1 | [
"MIT"
] | 1 | 2021-10-19T20:00:02.000Z | 2021-10-19T20:00:02.000Z | tests/test_base.py | azevakin/django-google-json-style-api | f1d8058ed7ce03368ea36ca333e96e21fa74b2e1 | [
"MIT"
] | null | null | null | tests/test_base.py | azevakin/django-google-json-style-api | f1d8058ed7ce03368ea36ca333e96e21fa74b2e1 | [
"MIT"
] | null | null | null | from django_google_json_style_api import base
class TestSnakeToCamel:
"""This test covers _snake_to_camel method"""
def test_snake_string(self):
assert base._snake_to_camel("snake_case") == "snakeCase"
def test_empty_string(self):
assert base._snake_to_camel("") == ""
| 25.083333 | 64 | 0.714286 | 40 | 301 | 4.925 | 0.6 | 0.106599 | 0.182741 | 0.203046 | 0.324873 | 0.324873 | 0.324873 | 0 | 0 | 0 | 0 | 0 | 0.182724 | 301 | 11 | 65 | 27.363636 | 0.800813 | 0.129568 | 0 | 0 | 0 | 0 | 0.074219 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0.333333 | false | 0 | 0.166667 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 |
28b455cec802b6f8afe2a8282f3ee6af751fd355 | 165 | py | Python | ex014.py | lucaspereirag/pythonProject | 15a88762ca94322918474537bbed13e0ed2b60a6 | [
"MIT"
] | null | null | null | ex014.py | lucaspereirag/pythonProject | 15a88762ca94322918474537bbed13e0ed2b60a6 | [
"MIT"
] | null | null | null | ex014.py | lucaspereirag/pythonProject | 15a88762ca94322918474537bbed13e0ed2b60a6 | [
"MIT"
] | null | null | null | temperatura = float(input('Informe a temperatura em ºC: '))
fahrenheit = ((temperatura * 9 / 5) + 32)
print('A temperatura em fahrenheit: {}ºF'.format(fahrenheit))
| 33 | 61 | 0.70303 | 21 | 165 | 5.52381 | 0.666667 | 0.206897 | 0.241379 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.028169 | 0.139394 | 165 | 4 | 62 | 41.25 | 0.788732 | 0 | 0 | 0 | 0 | 0 | 0.375758 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
28b6b4cbeb419fa3110b255d25a672e71ce93ced | 151 | py | Python | src/fatsecret/__init__.py | walexnelson/pyfatsecret | 15c8a48d144c2682df7374b72f154629e00f5b4b | [
"MIT"
] | 21 | 2015-01-18T16:46:07.000Z | 2022-02-15T00:52:55.000Z | src/fatsecret/__init__.py | walexnelson/pyfatsecret | 15c8a48d144c2682df7374b72f154629e00f5b4b | [
"MIT"
] | 3 | 2017-03-13T20:51:08.000Z | 2019-02-07T01:29:29.000Z | src/fatsecret/__init__.py | walexnelson/pyfatsecret | 15c8a48d144c2682df7374b72f154629e00f5b4b | [
"MIT"
] | 23 | 2015-02-17T07:09:39.000Z | 2021-09-16T03:42:12.000Z | from .fatsecret import (
Fatsecret,
BaseFatsecretError,
GeneralError,
AuthenticationError,
ParameterError,
ApplicationError,
)
| 16.777778 | 24 | 0.708609 | 9 | 151 | 11.888889 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.231788 | 151 | 8 | 25 | 18.875 | 0.922414 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.125 | 0 | 0.125 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
28e8cdf813504f8779296e61c5f00c178b1cdc97 | 251 | py | Python | toontown/estate/DistributedFlowerAI.py | TheFamiliarScoot/open-toontown | 678313033174ea7d08e5c2823bd7b473701ff547 | [
"BSD-3-Clause"
] | 99 | 2019-11-02T22:25:00.000Z | 2022-02-03T03:48:00.000Z | toontown/estate/DistributedFlowerAI.py | TheFamiliarScoot/open-toontown | 678313033174ea7d08e5c2823bd7b473701ff547 | [
"BSD-3-Clause"
] | 42 | 2019-11-03T05:31:08.000Z | 2022-03-16T22:50:32.000Z | toontown/estate/DistributedFlowerAI.py | TheFamiliarScoot/open-toontown | 678313033174ea7d08e5c2823bd7b473701ff547 | [
"BSD-3-Clause"
] | 57 | 2019-11-03T07:47:37.000Z | 2022-03-22T00:41:49.000Z | from direct.directnotify import DirectNotifyGlobal
from direct.distributed.DistributedObjectAI import DistributedObjectAI
class DistributedFlowerAI(DistributedObjectAI):
notify = DirectNotifyGlobal.directNotify.newCategory('DistributedFlowerAI')
| 41.833333 | 79 | 0.876494 | 19 | 251 | 11.578947 | 0.578947 | 0.090909 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.071713 | 251 | 5 | 80 | 50.2 | 0.944206 | 0 | 0 | 0 | 0 | 0 | 0.075697 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 1 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4 |
28f60232c33615cd20a787c09f6df3961f2cc8c8 | 153 | py | Python | handle_alerts.py | mandano/bitvavo_trailing_stop | 491e9296d377265ef6837a6c1dd3898e4af334aa | [
"MIT"
] | null | null | null | handle_alerts.py | mandano/bitvavo_trailing_stop | 491e9296d377265ef6837a6c1dd3898e4af334aa | [
"MIT"
] | null | null | null | handle_alerts.py | mandano/bitvavo_trailing_stop | 491e9296d377265ef6837a6c1dd3898e4af334aa | [
"MIT"
] | 1 | 2021-05-24T17:48:44.000Z | 2021-05-24T17:48:44.000Z | from models.AlertHandler import AlertHandler
import main
if __name__ == '__main__':
ah = AlertHandler()
ah.update_alerts()
ah.save_alerts()
| 19.125 | 44 | 0.718954 | 18 | 153 | 5.555556 | 0.611111 | 0.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.183007 | 153 | 7 | 45 | 21.857143 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0.052288 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 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 |
e919e887d4c153790e4189bcd45029bc440fa729 | 47 | py | Python | Chapter04/lambda_python.py | PacktPublishing/Python-Data-Science-with-AI-for-Noobs | d7df90c6f0fbafe3e5b22e8bf6618eabe8d2e830 | [
"MIT"
] | 8 | 2019-02-21T15:50:38.000Z | 2021-11-08T13:10:49.000Z | Chapter04/lambda_python.py | PacktPublishing/Python-Data-Science-with-AI-for-Noobs | d7df90c6f0fbafe3e5b22e8bf6618eabe8d2e830 | [
"MIT"
] | null | null | null | Chapter04/lambda_python.py | PacktPublishing/Python-Data-Science-with-AI-for-Noobs | d7df90c6f0fbafe3e5b22e8bf6618eabe8d2e830 | [
"MIT"
] | 7 | 2018-12-26T08:17:22.000Z | 2020-08-24T08:23:11.000Z | answer = lambda number, power : number ** power | 47 | 47 | 0.723404 | 6 | 47 | 5.666667 | 0.666667 | 0.647059 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.170213 | 47 | 1 | 47 | 47 | 0.871795 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
e91c96e21cb1ff9943d8b3d125261e111534f489 | 124 | py | Python | Shishkin_Anatoliy_lesson_4/hello/hello_module.py | kpu3uc/1824_GB_Python_1 | 3759379fc99a815f546f4497974a11aacf49df0a | [
"MIT"
] | 2 | 2021-11-01T20:52:13.000Z | 2021-11-01T20:52:23.000Z | Shishkin_Anatoliy_lesson_4/hello/hello_module.py | kpu3uc/1824_GB_Python_1 | 3759379fc99a815f546f4497974a11aacf49df0a | [
"MIT"
] | null | null | null | Shishkin_Anatoliy_lesson_4/hello/hello_module.py | kpu3uc/1824_GB_Python_1 | 3759379fc99a815f546f4497974a11aacf49df0a | [
"MIT"
] | 3 | 2021-11-05T06:25:18.000Z | 2021-11-17T17:50:09.000Z | def say_hello(name):
print(f'Привет, {name}!')
def hello2(attr):
pass
if __name__ == '__main__':
print(__name__)
| 13.777778 | 28 | 0.645161 | 17 | 124 | 3.941176 | 0.705882 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009901 | 0.185484 | 124 | 8 | 29 | 15.5 | 0.653465 | 0 | 0 | 0 | 0 | 0 | 0.185484 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0.166667 | 0 | 0 | 0.333333 | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 |
e92baa427fb6a1a20aebab2ba96eba4e8c170ef6 | 217 | py | Python | NewPee/Authors/function_handler.py | CMPUT404W19T3/NewPee | ba34341e0407746c12aec72689e50fbc2054ae77 | [
"MIT"
] | 2 | 2019-02-19T17:11:58.000Z | 2019-02-19T17:19:28.000Z | NewPee/Authors/function_handler.py | CMPUT404W19T3/NewPee | ba34341e0407746c12aec72689e50fbc2054ae77 | [
"MIT"
] | 74 | 2019-02-01T17:15:02.000Z | 2022-03-08T21:09:44.000Z | NewPee/Authors/function_handler.py | CMPUT404W19T3/NewPee | ba34341e0407746c12aec72689e50fbc2054ae77 | [
"MIT"
] | 1 | 2019-03-15T16:09:51.000Z | 2019-03-15T16:09:51.000Z | from django.contrib.auth.models import User
from django.db import models
from models import Author
import uuid
def check_friend_status(User1ID, User2ID):
pass
def check_username_availablity(user1ID):
pass | 16.692308 | 43 | 0.797235 | 31 | 217 | 5.451613 | 0.612903 | 0.118343 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016304 | 0.152074 | 217 | 13 | 44 | 16.692308 | 0.902174 | 0 | 0 | 0.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0.25 | 0.5 | 0 | 0.75 | 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 | 1 | 0 | 1 | 0 | 0 | 4 |
e937e74dfc45e32cf982978d4d1f50ab42262a93 | 232 | py | Python | {{ cookiecutter.repo_name }}/{{ cookiecutter.repo_name.replace("-", "_") }}/scripts/predict_test.py | MAVJ/orbyter-cookiecutter | c37edca8c45428b619f421e0067d925dfee5c24b | [
"MIT"
] | null | null | null | {{ cookiecutter.repo_name }}/{{ cookiecutter.repo_name.replace("-", "_") }}/scripts/predict_test.py | MAVJ/orbyter-cookiecutter | c37edca8c45428b619f421e0067d925dfee5c24b | [
"MIT"
] | null | null | null | {{ cookiecutter.repo_name }}/{{ cookiecutter.repo_name.replace("-", "_") }}/scripts/predict_test.py | MAVJ/orbyter-cookiecutter | c37edca8c45428b619f421e0067d925dfee5c24b | [
"MIT"
] | null | null | null | from click.testing import CliRunner
from {{cookiecutter.repo_name.replace("-", "_")}}.scripts.predict import main
def test_predict():
runner = CliRunner()
result = runner.invoke(main, [])
assert result.exit_code == 0
| 23.2 | 77 | 0.698276 | 28 | 232 | 5.642857 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005128 | 0.159483 | 232 | 9 | 78 | 25.777778 | 0.805128 | 0 | 0 | 0 | 0 | 0 | 0.008621 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 0 | null | null | 0 | 0.333333 | null | null | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4 |
e93a103a0c2d23ebdc3068fcfda7b8efd2c00b63 | 998 | py | Python | test/test_empty.py | BlockMarkets/python-rest-sdk | aa8e9b59ba86ded1da7a6fdcdad3c2ed76efc00e | [
"Apache-2.0"
] | null | null | null | test/test_empty.py | BlockMarkets/python-rest-sdk | aa8e9b59ba86ded1da7a6fdcdad3c2ed76efc00e | [
"Apache-2.0"
] | null | null | null | test/test_empty.py | BlockMarkets/python-rest-sdk | aa8e9b59ba86ded1da7a6fdcdad3c2ed76efc00e | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
BlockMarkets Cryptocurrency API
The BlockMarkets API provides real-time and historical market data on cryptocurrencies from the world's leading crypto exchanges. Sign up for a free, unlimited API key at [BlockMarkets Cryptocurrency API](https://www.blockmarkets.io/cryptocurrency-api). # noqa: E501
OpenAPI spec version: 1.0.0
Generated by: https://openapi-generator.tech
"""
from __future__ import absolute_import
import unittest
import blockmarkets
from blockmarkets.models.empty import Empty # noqa: E501
from blockmarkets.rest import ApiException
class TestEmpty(unittest.TestCase):
"""Empty unit test stubs"""
def setUp(self):
pass
def tearDown(self):
pass
def testEmpty(self):
"""Test Empty"""
# FIXME: construct object with mandatory attributes with example values
# model = blockmarkets.models.empty.Empty() # noqa: E501
pass
if __name__ == '__main__':
unittest.main()
| 24.95 | 271 | 0.708417 | 122 | 998 | 5.688525 | 0.614754 | 0.073487 | 0.083573 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016414 | 0.206413 | 998 | 39 | 272 | 25.589744 | 0.859848 | 0.559118 | 0 | 0.214286 | 0 | 0 | 0.019901 | 0 | 0 | 0 | 0 | 0.025641 | 0 | 1 | 0.214286 | false | 0.214286 | 0.357143 | 0 | 0.642857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 4 |
e93e7ffbab5dab4b065be05e387eaadd67f6a2f3 | 588 | py | Python | rest_helpers/tests/test_type_deserializers.py | WillFr/restlax | ec47617d915094137077f641427976f04acd8d47 | [
"Apache-2.0"
] | 1 | 2019-07-03T16:29:05.000Z | 2019-07-03T16:29:05.000Z | rest_helpers/tests/test_type_deserializers.py | WillFr/restlax | ec47617d915094137077f641427976f04acd8d47 | [
"Apache-2.0"
] | null | null | null | rest_helpers/tests/test_type_deserializers.py | WillFr/restlax | ec47617d915094137077f641427976f04acd8d47 | [
"Apache-2.0"
] | null | null | null | from rest_helpers import type_deserializers
class TestTypeDeserializers(object):
def test_bool_deserializer(self):
assert type_deserializers.bool_deserializer("")
assert type_deserializers.bool_deserializer("True")
assert type_deserializers.bool_deserializer("true")
assert not type_deserializers.bool_deserializer("false")
assert not type_deserializers.bool_deserializer("False")
assert not type_deserializers.bool_deserializer(None)
def test_int_deserializer(self):
assert type_deserializers.int_deserializer("3") == 3 | 39.2 | 64 | 0.761905 | 64 | 588 | 6.6875 | 0.328125 | 0.317757 | 0.294393 | 0.462617 | 0.738318 | 0.518692 | 0.518692 | 0.317757 | 0.317757 | 0.317757 | 0 | 0.004065 | 0.163265 | 588 | 15 | 65 | 39.2 | 0.865854 | 0 | 0 | 0 | 0 | 0 | 0.032258 | 0 | 0 | 0 | 0 | 0 | 0.636364 | 1 | 0.181818 | false | 0 | 0.090909 | 0 | 0.363636 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
3a64e7d7a7955f280699f6c9800209bef540c37c | 568 | py | Python | components/mpas-seaice/testing_and_setup/testcases/square/square_quadhex/run_testcase.py | Fa-Li/E3SM | a91995093ec6fc0dd6e50114f3c70b5fb64de0f0 | [
"zlib-acknowledgement",
"FTL",
"RSA-MD"
] | 235 | 2018-04-23T16:30:06.000Z | 2022-03-21T17:53:12.000Z | components/mpas-seaice/testing_and_setup/testcases/square/square_quadhex/run_testcase.py | Fa-Li/E3SM | a91995093ec6fc0dd6e50114f3c70b5fb64de0f0 | [
"zlib-acknowledgement",
"FTL",
"RSA-MD"
] | 2,372 | 2018-04-20T18:12:34.000Z | 2022-03-31T23:43:17.000Z | components/mpas-seaice/testing_and_setup/testcases/square/square_quadhex/run_testcase.py | Fa-Li/E3SM | a91995093ec6fc0dd6e50114f3c70b5fb64de0f0 | [
"zlib-acknowledgement",
"FTL",
"RSA-MD"
] | 254 | 2018-04-20T20:43:32.000Z | 2022-03-30T20:13:38.000Z | from create_grids import create_grids
from create_ics import create_ics
from run_model import run_model
from set_difference_fields import set_difference_fields
from plot_testcase import plot_testcase
#-------------------------------------------------------------------------------
def run_square_quadhex_testcase():
create_grids()
create_ics()
run_model()
set_difference_fields()
plot_testcase()
#-------------------------------------------------------------------------------
if __name__ == "__main__":
run_square_quadhex_testcase()
| 21.846154 | 80 | 0.56338 | 55 | 568 | 5.236364 | 0.327273 | 0.114583 | 0.197917 | 0.166667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.119718 | 568 | 25 | 81 | 22.72 | 0.576 | 0.278169 | 0 | 0 | 0 | 0 | 0.019608 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | true | 0 | 0.384615 | 0 | 0.461538 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 4 |
3a8d77b07a0f3b34d2c3240c2a9bdaf7c5b77fe5 | 311 | py | Python | sleepless/app/views/dashboard.py | Shagrat/eye-of-sauron | a80072f7af0fd6d324532eb405e831e34267d797 | [
"MIT"
] | null | null | null | sleepless/app/views/dashboard.py | Shagrat/eye-of-sauron | a80072f7af0fd6d324532eb405e831e34267d797 | [
"MIT"
] | null | null | null | sleepless/app/views/dashboard.py | Shagrat/eye-of-sauron | a80072f7af0fd6d324532eb405e831e34267d797 | [
"MIT"
] | null | null | null | """
Dashboard module provides classes and functions to generate and return HTML
pages as responses
"""
from flask import render_template
from flask.views import View
class ShowDashboard(View):
"""
Default Index View
"""
def dispatch_request(self):
return render_template('index.html')
| 20.733333 | 75 | 0.726688 | 39 | 311 | 5.717949 | 0.717949 | 0.080717 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.196141 | 311 | 14 | 76 | 22.214286 | 0.892 | 0.363344 | 0 | 0 | 1 | 0 | 0.057143 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.4 | 0.2 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 4 |
3ac226599b198d8de40276e63e1187fe1769aadd | 290 | py | Python | gehomesdk/erd/converters/specialized/erd_unit_type_converter.py | warrenrees/gehome | 6a40f15cfd0738aa7e2ac74b2d8d87780fc07ec8 | [
"MIT"
] | null | null | null | gehomesdk/erd/converters/specialized/erd_unit_type_converter.py | warrenrees/gehome | 6a40f15cfd0738aa7e2ac74b2d8d87780fc07ec8 | [
"MIT"
] | null | null | null | gehomesdk/erd/converters/specialized/erd_unit_type_converter.py | warrenrees/gehome | 6a40f15cfd0738aa7e2ac74b2d8d87780fc07ec8 | [
"MIT"
] | null | null | null | from ..abstract import ErdReadOnlyConverter
from ..primitives import *
from gehomesdk.erd.values.common import ErdUnitType
class ErdUnitTypeConverter(ErdReadOnlyConverter[ErdUnitType]):
def erd_decode(self, value: str) -> ErdUnitType:
return ErdUnitType(erd_decode_int(value))
| 36.25 | 62 | 0.796552 | 31 | 290 | 7.354839 | 0.612903 | 0.078947 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.12069 | 290 | 7 | 63 | 41.428571 | 0.894118 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.5 | 0.166667 | 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 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 4 |
3ace3050877e325265a65529d34908ee0bf1bc6c | 277 | py | Python | web/registry/admin.py | dimitrios-ath/agentos | e01d13447c52cdcecef6a1ecaadcf6160df1d104 | [
"Apache-2.0"
] | 1 | 2021-10-04T19:32:31.000Z | 2021-10-04T19:32:31.000Z | web/registry/admin.py | andyk/agentos | 2f5fc5443bfae586c3a9fc7c5bffcca860a0d878 | [
"Apache-2.0"
] | 2 | 2021-02-19T20:16:26.000Z | 2022-01-03T15:06:50.000Z | web/registry/admin.py | andyk/agentos | 2f5fc5443bfae586c3a9fc7c5bffcca860a0d878 | [
"Apache-2.0"
] | null | null | null | from django.contrib import admin
from .models import Component
from .models import ComponentDependency
from .models import Repo
from .models import Run
admin.site.register(Component)
admin.site.register(ComponentDependency)
admin.site.register(Repo)
admin.site.register(Run)
| 23.083333 | 40 | 0.830325 | 37 | 277 | 6.216216 | 0.324324 | 0.173913 | 0.278261 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.093863 | 277 | 11 | 41 | 25.181818 | 0.916335 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.555556 | 0 | 0.555556 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
3ad49ff5e2c9c04518b68b0bd654ca424042bbe6 | 150 | py | Python | daru_wheel/apps.py | gibeongideon/daruapp | 20c454023674aeb66bf6c2880e81a8a00a4c92bc | [
"Unlicense",
"MIT"
] | 3 | 2021-05-26T12:38:22.000Z | 2021-06-26T12:49:29.000Z | daru_wheel/apps.py | gibeongideon/daruapp | 20c454023674aeb66bf6c2880e81a8a00a4c92bc | [
"Unlicense",
"MIT"
] | null | null | null | daru_wheel/apps.py | gibeongideon/daruapp | 20c454023674aeb66bf6c2880e81a8a00a4c92bc | [
"Unlicense",
"MIT"
] | 1 | 2021-05-04T05:45:26.000Z | 2021-05-04T05:45:26.000Z | from django.apps import AppConfig
class DaruWheelConfig(AppConfig):
name = "daru_wheel"
def ready(self):
import daru_wheel.signals
| 16.666667 | 33 | 0.713333 | 18 | 150 | 5.833333 | 0.777778 | 0.171429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.213333 | 150 | 8 | 34 | 18.75 | 0.889831 | 0 | 0 | 0 | 0 | 0 | 0.066667 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.4 | 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 |
aafd7c70a8306019e1f8cbe4e39a0d85c7869a3b | 576 | py | Python | SourceCode/Python/Graphs/Graph.py | ChalmersGU-data-structure-courses/OpenDSA | abfc48391336cb6d118a065550816c0bb8665767 | [
"MIT"
] | null | null | null | SourceCode/Python/Graphs/Graph.py | ChalmersGU-data-structure-courses/OpenDSA | abfc48391336cb6d118a065550816c0bb8665767 | [
"MIT"
] | 1 | 2021-11-09T10:15:47.000Z | 2021-11-10T12:21:45.000Z | SourceCode/Python/Graphs/Graph.py | ChalmersGU-data-structure-courses/OpenDSA | abfc48391336cb6d118a065550816c0bb8665767 | [
"MIT"
] | null | null | null | #/* *** ODSATag: GraphADT *** */
class Graph:
def nodeCount(self): raise NotImplementedError
def edgeCount(self): raise NotImplementedError
def getValue(self, v): raise NotImplementedError
def setValue(self, v, val): raise NotImplementedError
def addEdge(self, v, w, wgt): raise NotImplementedError
def weight(self, v, w): raise NotImplementedError
def removeEdge(self, v, w): raise NotImplementedError
def hasEdge(self, v, w): raise NotImplementedError
def neighbors(self, v): raise NotImplementedError
#/* *** ODSAendTag: GraphADT *** */
| 44.307692 | 59 | 0.715278 | 64 | 576 | 6.4375 | 0.34375 | 0.524272 | 0.524272 | 0.080097 | 0.240291 | 0.240291 | 0 | 0 | 0 | 0 | 0 | 0 | 0.171875 | 576 | 12 | 60 | 48 | 0.863732 | 0.112847 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.9 | false | 0 | 0 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 |
c91163aa49a473629dd65ef99f5b49cb9fa6b632 | 434 | py | Python | portfolio/views.py | shyuldashov/my-portfolio-root | 7b8f4dfcdedd61aa44a75844b76d9d286f05ea68 | [
"MIT"
] | null | null | null | portfolio/views.py | shyuldashov/my-portfolio-root | 7b8f4dfcdedd61aa44a75844b76d9d286f05ea68 | [
"MIT"
] | null | null | null | portfolio/views.py | shyuldashov/my-portfolio-root | 7b8f4dfcdedd61aa44a75844b76d9d286f05ea68 | [
"MIT"
] | null | null | null | from django.shortcuts import render
from .models import Project
def home(request):
projects = Project.objects.all()
# post_title = Project.title
# post_description = Project.description
# post_image = Project.image
# post_url = Project.title
return render(request, 'portfolio/home.html', {'projects': projects})
def page_not_found_view(request, exception):
return render(request, 'portfolio/404.html')
| 27.125 | 73 | 0.728111 | 53 | 434 | 5.830189 | 0.509434 | 0.07767 | 0.122977 | 0.18123 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008287 | 0.165899 | 434 | 15 | 74 | 28.933333 | 0.845304 | 0.269585 | 0 | 0 | 0 | 0 | 0.144231 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0.285714 | 0.142857 | 0.857143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.