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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
c614a1664f6bdf152a7894bbff6e36ef78258fe0 | 1,234 | py | Python | tests/test_asdf_schema.py | WilliamJamieson/asdf-standard | d0934b2abd95507e5d5f79ed69782d5b6b24eadd | [
"BSD-3-Clause"
] | 47 | 2015-04-21T10:03:44.000Z | 2020-06-16T12:02:35.000Z | tests/test_asdf_schema.py | WilliamJamieson/asdf-standard | d0934b2abd95507e5d5f79ed69782d5b6b24eadd | [
"BSD-3-Clause"
] | 120 | 2015-01-12T23:45:17.000Z | 2020-06-06T17:20:28.000Z | tests/test_asdf_schema.py | WilliamJamieson/asdf-standard | d0934b2abd95507e5d5f79ed69782d5b6b24eadd | [
"BSD-3-Clause"
] | 22 | 2015-04-21T10:14:44.000Z | 2020-06-16T08:55:17.000Z | import pytest
from common import SCHEMAS_PATH, assert_yaml_header_and_footer, load_yaml
from jsonschema import ValidationError
@pytest.mark.parametrize("path", SCHEMAS_PATH.glob("asdf-schema-*.yaml"))
def test_asdf_schema(path):
assert_yaml_header_and_footer(path)
# Asserting no exceptions here
load_yaml... | 33.351351 | 108 | 0.67342 | 139 | 1,234 | 5.827338 | 0.410072 | 0.074074 | 0.081481 | 0.088889 | 0.449383 | 0.449383 | 0.377778 | 0.377778 | 0.28642 | 0.150617 | 0 | 0.001947 | 0.167747 | 1,234 | 36 | 109 | 34.277778 | 0.786758 | 0.081037 | 0 | 0.217391 | 0 | 0 | 0.191585 | 0 | 0 | 0 | 0 | 0 | 0.086957 | 1 | 0.086957 | false | 0 | 0.130435 | 0 | 0.217391 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c61593afa95fc30a19ca5363d13b5db09015e8fd | 5,552 | py | Python | retinanet/dataloader/label_encoder.py | lchen-wyze/retinanet-tensorflow2.x | 86404a2da6ec636d4b1aef768ac52f018c127798 | [
"Apache-2.0"
] | 36 | 2020-09-23T13:32:47.000Z | 2022-03-29T18:53:58.000Z | retinanet/dataloader/label_encoder.py | lchen-wyze/retinanet-tensorflow2.x | 86404a2da6ec636d4b1aef768ac52f018c127798 | [
"Apache-2.0"
] | 12 | 2020-10-25T09:07:58.000Z | 2021-11-17T12:53:50.000Z | retinanet/dataloader/label_encoder.py | lchen-wyze/retinanet-tensorflow2.x | 86404a2da6ec636d4b1aef768ac52f018c127798 | [
"Apache-2.0"
] | 9 | 2020-11-12T20:03:06.000Z | 2022-01-03T12:40:48.000Z | import tensorflow as tf
from retinanet.dataloader.anchor_generator import AnchorBoxGenerator
from retinanet.dataloader.preprocessing_pipeline import PreprocessingPipeline
from retinanet.dataloader.utils import compute_iou
class LabelEncoder:
def __init__(self, params):
self.input_shape = params.input.inp... | 44.063492 | 79 | 0.608249 | 695 | 5,552 | 4.579856 | 0.185612 | 0.043984 | 0.032045 | 0.024505 | 0.314797 | 0.222432 | 0.15677 | 0.112473 | 0.092366 | 0.060949 | 0 | 0.016779 | 0.2808 | 5,552 | 125 | 80 | 44.416 | 0.780366 | 0.008285 | 0 | 0.096154 | 0 | 0 | 0.017078 | 0 | 0 | 0 | 0 | 0.008 | 0 | 1 | 0.048077 | false | 0 | 0.038462 | 0 | 0.144231 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c617ffba3ed7d86f83e8204d0efd8b5ec19f40d4 | 476 | py | Python | ex4.py | JasperStfun/OOP | fb6c084979c2550a01b8dd07a24c244d31f943a0 | [
"Apache-2.0"
] | null | null | null | ex4.py | JasperStfun/OOP | fb6c084979c2550a01b8dd07a24c244d31f943a0 | [
"Apache-2.0"
] | null | null | null | ex4.py | JasperStfun/OOP | fb6c084979c2550a01b8dd07a24c244d31f943a0 | [
"Apache-2.0"
] | null | null | null | class DefenerVector:
def __init__(self, v):
self.__v = v
def __enter__(self):
self.__temp = self.__v[:]
return self.__temp
def __exit__(self, exc_type, exc_val, exc_tb):
if exc_type is None:
self.__v[:] = self.__temp
return False
v1 = [1, 2, 3]
... | 21.636364 | 50 | 0.544118 | 70 | 476 | 3.3 | 0.514286 | 0.08658 | 0.077922 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.031447 | 0.331933 | 476 | 22 | 51 | 21.636364 | 0.694969 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.157895 | false | 0 | 0 | 0 | 0.315789 | 0.105263 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c61b4b710f700b7e7d84698ef9c73f9fe55fc76c | 1,488 | py | Python | tamcolors/tests/utils_tests/identifier_tests.py | cmcmarrow/tamcolors | 65a5f2455bbe35a739b98d14af158c3df7feb786 | [
"Apache-2.0"
] | 29 | 2020-07-17T23:46:17.000Z | 2022-02-06T05:36:44.000Z | tamcolors/tests/utils_tests/identifier_tests.py | sudo-nikhil/tamcolors | 65a5f2455bbe35a739b98d14af158c3df7feb786 | [
"Apache-2.0"
] | 42 | 2020-07-25T19:39:52.000Z | 2021-02-24T01:19:58.000Z | tamcolors/tests/utils_tests/identifier_tests.py | sudo-nikhil/tamcolors | 65a5f2455bbe35a739b98d14af158c3df7feb786 | [
"Apache-2.0"
] | 8 | 2020-07-18T23:02:48.000Z | 2020-12-30T04:07:35.000Z | # built in libraries
import unittest.mock
from tempfile import TemporaryDirectory
from os.path import join
# tamcolors libraries
from tamcolors.utils import identifier
class IdentifierTests(unittest.TestCase):
def test_globals(self):
self.assertIsInstance(identifier.IDENTIFIER_FILE_NAME, str)
se... | 41.333333 | 114 | 0.716398 | 169 | 1,488 | 6.023669 | 0.272189 | 0.061886 | 0.123772 | 0.151277 | 0.492141 | 0.492141 | 0.452849 | 0.452849 | 0.452849 | 0.302554 | 0 | 0.012723 | 0.207661 | 1,488 | 35 | 115 | 42.514286 | 0.850721 | 0.025538 | 0 | 0.16 | 0 | 0 | 0.010366 | 0 | 0 | 0 | 0 | 0 | 0.4 | 1 | 0.12 | false | 0 | 0.16 | 0 | 0.32 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c61b82fdb5df4f14bd3407dbc13cb9a344c9c650 | 2,847 | py | Python | source.py | FahimFBA/Invisible-Cloak-Using-Python | 4ed662f8ec6ab7bd90c5cf337d10ff8d2496843b | [
"MIT"
] | 2 | 2021-03-29T07:29:39.000Z | 2021-12-11T18:05:45.000Z | source.py | FahimFBA/Invisible-Cloak-Using-Python | 4ed662f8ec6ab7bd90c5cf337d10ff8d2496843b | [
"MIT"
] | 1 | 2021-12-12T06:37:32.000Z | 2021-12-12T16:36:19.000Z | source.py | FahimFBA/Invisible-Cloak-Using-Python | 4ed662f8ec6ab7bd90c5cf337d10ff8d2496843b | [
"MIT"
] | 2 | 2021-02-14T15:11:52.000Z | 2021-07-08T20:22:58.000Z | # start importing some modules
# importing OpenCV
import cv2
# using this module , we can process images and videos to identify objects, faces, or even handwriting of a human.
# importing NumPy
import numpy as np
# NumPy is usually imported under the np alias. NumPy is a Python library used for working with arrays. I... | 38.472973 | 250 | 0.724974 | 449 | 2,847 | 4.57461 | 0.474388 | 0.03408 | 0.019474 | 0.014606 | 0.047712 | 0.047712 | 0.028238 | 0 | 0 | 0 | 0 | 0.034031 | 0.194942 | 2,847 | 73 | 251 | 39 | 0.862129 | 0.537408 | 0 | 0 | 0 | 0 | 0.25522 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.085714 | 0 | 0.085714 | 0.085714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c61de299d4e4c292c61a91562c711d62f7565f8f | 7,333 | py | Python | src/user/role_service.py | fugwenna/bunkbot | f438c6a7d1f2c1797755eb8287bc1499c0cf2a88 | [
"MIT"
] | 2 | 2017-05-10T03:41:12.000Z | 2017-08-12T12:51:44.000Z | src/user/role_service.py | fugwenna/bunkbot | f438c6a7d1f2c1797755eb8287bc1499c0cf2a88 | [
"MIT"
] | 13 | 2017-08-09T00:41:17.000Z | 2021-09-04T17:47:11.000Z | src/user/role_service.py | fugwenna/bunkbot | f438c6a7d1f2c1797755eb8287bc1499c0cf2a88 | [
"MIT"
] | 4 | 2017-05-10T01:15:03.000Z | 2021-03-02T03:49:45.000Z | from typing import List
from discord import Role, Color, role
from ..bunkbot import BunkBot
from ..channel.channel_service import ChannelService
from ..core.bunk_user import BunkUser
from ..core.service import Service
from ..db.database_service import DatabaseService
class RoleService(Service):
"""
... | 32.591111 | 138 | 0.569617 | 919 | 7,333 | 4.43852 | 0.151251 | 0.049032 | 0.018877 | 0.01569 | 0.451091 | 0.359402 | 0.313067 | 0.27188 | 0.200785 | 0.171366 | 0 | 0.001457 | 0.344879 | 7,333 | 224 | 139 | 32.736607 | 0.847627 | 0.096277 | 0 | 0.123288 | 0 | 0 | 0.004732 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041096 | false | 0.013699 | 0.09589 | 0 | 0.260274 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6221c4f4c97c1af9d1e5e7738396af3bac3c4e6 | 1,591 | py | Python | doc/buildbot/sample_slave.py | elhigu/pocl | 726569646d3e95ef7625991aef11a2e84216076a | [
"MIT"
] | 1 | 2020-08-13T06:59:37.000Z | 2020-08-13T06:59:37.000Z | doc/buildbot/sample_slave.py | elhigu/pocl | 726569646d3e95ef7625991aef11a2e84216076a | [
"MIT"
] | null | null | null | doc/buildbot/sample_slave.py | elhigu/pocl | 726569646d3e95ef7625991aef11a2e84216076a | [
"MIT"
] | 1 | 2020-08-13T06:59:39.000Z | 2020-08-13T06:59:39.000Z | from buildbot.buildslave import BuildSlave
from buildbot.schedulers.basic import SingleBranchScheduler
from buildbot.changes import filter
from buildbot.config import BuilderConfig
from buildbot.schedulers.forcesched import *
from poclfactory import createPoclFactory
# overrride the 'sample_slave' with a descriptive ... | 37 | 105 | 0.752986 | 210 | 1,591 | 5.628571 | 0.466667 | 0.050761 | 0.022843 | 0.035533 | 0.089679 | 0.089679 | 0.089679 | 0.089679 | 0.089679 | 0.089679 | 0 | 0.001531 | 0.179133 | 1,591 | 42 | 106 | 37.880952 | 0.903522 | 0.409805 | 0 | 0 | 0 | 0 | 0.265152 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0.043478 | 0.26087 | 0 | 0.304348 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6224896f978093621d6275c6b492b553a5f89f0 | 2,575 | py | Python | pqr/__init__.py | pittquantum/PittQuantumRepository | 5100ff264e76cb97e5eba2929558a08d0ed158f8 | [
"MIT"
] | 13 | 2015-10-11T00:52:52.000Z | 2022-03-04T16:26:40.000Z | pqr/__init__.py | pittquantum/backend | 5100ff264e76cb97e5eba2929558a08d0ed158f8 | [
"MIT"
] | 54 | 2015-05-06T07:33:06.000Z | 2015-07-07T05:09:08.000Z | pqr/__init__.py | pittquantum/backend | 5100ff264e76cb97e5eba2929558a08d0ed158f8 | [
"MIT"
] | 4 | 2017-03-03T03:58:50.000Z | 2020-01-23T03:55:30.000Z | from flask import Flask, url_for, request, session, abort
import os
import re
import base64
pqr = Flask(__name__)
# Determines the destination of the build. Only usefull if you're using
# Frozen-Flask
pqr.config['FREEZER_DESTINATION'] = os.path.dirname(os.path.abspath(__file__)) + '/../build'
# Function to easily f... | 33.441558 | 129 | 0.616311 | 307 | 2,575 | 5.003257 | 0.407166 | 0.041667 | 0.057292 | 0.070313 | 0.1875 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007644 | 0.136311 | 2,575 | 76 | 130 | 33.881579 | 0.683004 | 0.202718 | 0 | 0 | 0 | 0 | 0.151289 | 0.014327 | 0 | 0 | 0 | 0 | 0.069767 | 1 | 0.139535 | false | 0.023256 | 0.116279 | 0.069767 | 0.395349 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c625108183edb6d267c158ee6b26a88a85fb2494 | 255 | py | Python | application/core/common_utils.py | solomonxie/lambda-application-demo | 35ac5e17985cdd5694eb154b527d3942ad52cad6 | [
"MIT"
] | null | null | null | application/core/common_utils.py | solomonxie/lambda-application-demo | 35ac5e17985cdd5694eb154b527d3942ad52cad6 | [
"MIT"
] | null | null | null | application/core/common_utils.py | solomonxie/lambda-application-demo | 35ac5e17985cdd5694eb154b527d3942ad52cad6 | [
"MIT"
] | null | null | null | import json
from urllib import request
def get_ip():
info = None
try:
resp = request.urlopen("http://ip-api.com/json/")
raw = resp.read()
info = json.loads(raw)
except Exception as e:
print(e)
return info
| 18.214286 | 57 | 0.580392 | 35 | 255 | 4.2 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.305882 | 255 | 13 | 58 | 19.615385 | 0.830508 | 0 | 0 | 0 | 0 | 0 | 0.090196 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.181818 | 0 | 0.363636 | 0.090909 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c625be4168c09da47fadb564f1e3637c6cb209e3 | 2,205 | py | Python | src/boxes/datatypes/calc.py | Peilonrayz/alphabet_learner | 13229e53215e3c050f106e00e34f90ca2d6fa256 | [
"MIT"
] | null | null | null | src/boxes/datatypes/calc.py | Peilonrayz/alphabet_learner | 13229e53215e3c050f106e00e34f90ca2d6fa256 | [
"MIT"
] | null | null | null | src/boxes/datatypes/calc.py | Peilonrayz/alphabet_learner | 13229e53215e3c050f106e00e34f90ca2d6fa256 | [
"MIT"
] | null | null | null | import collections.abc
from typing import Union, Sequence, Optional
from .primitives import Number
from .units import Unit, UnitTypes
_Value = Union[Unit, Number, float, int]
class Calc:
type: UnitTypes
@classmethod
def build(
cls,
values: Union[_Value, Sequence[_Value]],
opera... | 27.911392 | 84 | 0.576417 | 248 | 2,205 | 4.943548 | 0.241935 | 0.04894 | 0.034258 | 0.04894 | 0.213703 | 0.184339 | 0.122349 | 0.122349 | 0.122349 | 0.122349 | 0 | 0.007299 | 0.316553 | 2,205 | 78 | 85 | 28.269231 | 0.806238 | 0 | 0 | 0.096774 | 0 | 0 | 0.086621 | 0.02585 | 0 | 0 | 0 | 0 | 0 | 1 | 0.112903 | false | 0 | 0.064516 | 0.048387 | 0.387097 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c626517f412e73181fae98762e0e92e932f1d7ee | 676 | py | Python | dfrus/machine_code_match.py | dfint/dfrus | 84eb206d01e57ba2571b19c2bbbe7765c660fb55 | [
"MIT"
] | 1 | 2021-09-11T12:46:01.000Z | 2021-09-11T12:46:01.000Z | dfrus/machine_code_match.py | dfint/dfrus | 84eb206d01e57ba2571b19c2bbbe7765c660fb55 | [
"MIT"
] | 8 | 2021-10-29T18:54:54.000Z | 2021-11-29T08:18:05.000Z | dfrus/machine_code_match.py | dfint/dfrus | 84eb206d01e57ba2571b19c2bbbe7765c660fb55 | [
"MIT"
] | null | null | null | from .binio import from_dword
from .opcodes import Reg, mov_reg_imm, mov_acc_mem, mov_rm_reg, x0f_movups, Prefix
def match_mov_reg_imm32(b: bytes, reg: Reg, imm: int) -> bool:
assert len(b) == 5, b
return b[0] == mov_reg_imm | 8 | int(reg) and from_dword(b[1:]) == imm
def get_start(s):
i = None
if s... | 26 | 82 | 0.573964 | 122 | 676 | 3.008197 | 0.401639 | 0.021798 | 0.049046 | 0.043597 | 0.076294 | 0.076294 | 0 | 0 | 0 | 0 | 0 | 0.072765 | 0.288462 | 676 | 25 | 83 | 27.04 | 0.690229 | 0.038462 | 0 | 0.111111 | 0 | 0 | 0 | 0 | 0 | 0 | 0.049383 | 0 | 0.111111 | 1 | 0.111111 | false | 0 | 0.111111 | 0 | 0.388889 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c628a854cb921505c3553f10d9c7e5209dafaeeb | 10,483 | py | Python | tests/test_base_api.py | yhegen/cumulocity-python-api | 729d29a518426fe118ed315df84020578a6961fb | [
"Apache-2.0"
] | 9 | 2021-02-16T08:53:08.000Z | 2022-02-15T11:58:19.000Z | tests/test_base_api.py | yhegen/cumulocity-python-api | 729d29a518426fe118ed315df84020578a6961fb | [
"Apache-2.0"
] | 4 | 2021-04-20T12:26:41.000Z | 2022-02-09T09:52:11.000Z | tests/test_base_api.py | yhegen/cumulocity-python-api | 729d29a518426fe118ed315df84020578a6961fb | [
"Apache-2.0"
] | 3 | 2021-04-26T23:05:32.000Z | 2021-12-09T14:13:58.000Z | # Copyright (c) 2020 Software AG,
# Darmstadt, Germany and/or Software AG USA Inc., Reston, VA, USA,
# and/or its subsidiaries and/or its affiliates and/or their licensors.
# Use, reproduction, transfer, publication or disclosure is prohibited except
# as specifically provided for in your License Agreement with Softwar... | 35.900685 | 110 | 0.659258 | 1,249 | 10,483 | 5.38751 | 0.183347 | 0.033289 | 0.032694 | 0.018725 | 0.575866 | 0.511517 | 0.429484 | 0.385793 | 0.350572 | 0.304206 | 0 | 0.018568 | 0.208814 | 10,483 | 291 | 111 | 36.024055 | 0.792742 | 0.180864 | 0 | 0.466667 | 0 | 0.005556 | 0.137817 | 0.00885 | 0 | 0 | 0 | 0 | 0.216667 | 1 | 0.105556 | false | 0.027778 | 0.038889 | 0 | 0.155556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c62b0f6c1dafe4863a081c29e104df05db4c301e | 866 | py | Python | src/xsdtools/jsonschema_generator.py | pietrodelugas/xsdtools | b30e5f6b41c079cca01b3fb8c36feee484df8e34 | [
"BSD-3-Clause"
] | 1 | 2020-12-17T04:50:47.000Z | 2020-12-17T04:50:47.000Z | src/xsdtools/jsonschema_generator.py | pietrodelugas/xsdtools | b30e5f6b41c079cca01b3fb8c36feee484df8e34 | [
"BSD-3-Clause"
] | null | null | null | src/xsdtools/jsonschema_generator.py | pietrodelugas/xsdtools | b30e5f6b41c079cca01b3fb8c36feee484df8e34 | [
"BSD-3-Clause"
] | 2 | 2021-07-21T10:38:08.000Z | 2021-09-16T17:50:25.000Z | #
# Copyright (c) 2020, Quantum Espresso Foundation and SISSA.
# Internazionale Superiore di Studi Avanzati). All rights reserved.
# This file is distributed under the terms of the BSD 3-Clause license.
# See the file 'LICENSE' in the root directory of the present distribution,
# or https://opensource.org/licenses/BSD-... | 29.862069 | 75 | 0.668591 | 91 | 866 | 6.318681 | 0.747253 | 0.052174 | 0.034783 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008837 | 0.215935 | 866 | 28 | 76 | 30.928571 | 0.837997 | 0.420323 | 0 | 0 | 0 | 0 | 0.3375 | 0.045833 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.071429 | 0 | 0.357143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c62e4d453948d4cfc525683440c2c6e5323bf2c9 | 2,568 | py | Python | tests/unittest_db.py | zaanposni/umfrageBot | 3e19dc0629cde394da2ae8706e6e043b4e87059d | [
"MIT"
] | 6 | 2019-08-15T20:19:38.000Z | 2021-02-28T21:33:19.000Z | tests/unittest_db.py | zaanposni/umfrageBot | 3e19dc0629cde394da2ae8706e6e043b4e87059d | [
"MIT"
] | 31 | 2019-08-14T08:42:08.000Z | 2020-05-07T13:43:43.000Z | tests/unittest_db.py | zaanposni/umfrageBot | 3e19dc0629cde394da2ae8706e6e043b4e87059d | [
"MIT"
] | 5 | 2019-08-17T13:39:53.000Z | 2020-04-01T07:25:51.000Z | import unittest
from pathlib import Path
import os
import shutil
import time
from src.bt_utils.handle_sqlite import DatabaseHandler
from src.bt_utils.get_content import content_dir
from sqlite3 import IntegrityError
class TestClass(unittest.TestCase):
def testDB(self):
if os.path.exists(content_dir):
... | 33.789474 | 84 | 0.628505 | 351 | 2,568 | 4.472934 | 0.293447 | 0.061147 | 0.040127 | 0.035669 | 0.389172 | 0.357325 | 0.347771 | 0.30828 | 0.30828 | 0.281529 | 0 | 0.041405 | 0.257009 | 2,568 | 75 | 85 | 34.24 | 0.781447 | 0.020639 | 0 | 0.224138 | 0 | 0 | 0.191803 | 0 | 0 | 0 | 0 | 0 | 0.155172 | 1 | 0.017241 | false | 0.017241 | 0.137931 | 0 | 0.172414 | 0.155172 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c62ff5ebe57088aca1b17d3ec477eb124d6fc9bd | 1,777 | py | Python | mxnet_load_model.py | whn09/mxnet-ssd | ff15817dbf6d3c6d3fc69fbf6bef4c4d61490159 | [
"MIT"
] | 1 | 2019-09-11T02:07:50.000Z | 2019-09-11T02:07:50.000Z | mxnet_load_model.py | whn09/mxnet-ssd | ff15817dbf6d3c6d3fc69fbf6bef4c4d61490159 | [
"MIT"
] | null | null | null | mxnet_load_model.py | whn09/mxnet-ssd | ff15817dbf6d3c6d3fc69fbf6bef4c4d61490159 | [
"MIT"
] | null | null | null | # load model and predicate
import mxnet as mx
import numpy as np
# define test data
batch_size = 1
num_batch = 1
filepath = 'frame-1.jpg'
DEFAULT_INPUT_SHAPE = 300
# load model
sym, arg_params, aux_params = mx.model.load_checkpoint("model/deploy_model_algo_1", 0) # load with net name and epoch num
mod = mx.mod.Modul... | 34.843137 | 121 | 0.747327 | 287 | 1,777 | 4.425087 | 0.400697 | 0.037795 | 0.066929 | 0.028346 | 0.053543 | 0.053543 | 0 | 0 | 0 | 0 | 0 | 0.013898 | 0.109173 | 1,777 | 50 | 122 | 35.54 | 0.788377 | 0.403489 | 0 | 0.074074 | 0 | 0 | 0.081888 | 0.024085 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.148148 | 0 | 0.148148 | 0.185185 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c63135668085d0506f3e10e5b3343cb3a4bdce5a | 577 | py | Python | dataMapper.py | cbrandl/csv_costanalyser | c4e2c53bb7f13e56aec07425e5c0e1f0bed6b8fa | [
"MIT"
] | null | null | null | dataMapper.py | cbrandl/csv_costanalyser | c4e2c53bb7f13e56aec07425e5c0e1f0bed6b8fa | [
"MIT"
] | null | null | null | dataMapper.py | cbrandl/csv_costanalyser | c4e2c53bb7f13e56aec07425e5c0e1f0bed6b8fa | [
"MIT"
] | null | null | null | class dataMapper:
def __init__(self, data):
self.__data = data
self.__structure = self.getDataStructure()
def getDataStructure(self):
headings = self.__data[0]
structure = {}
for key in headings:
structure[key.lower()] = ''
return structure
def m... | 27.47619 | 58 | 0.551127 | 57 | 577 | 5.333333 | 0.403509 | 0.105263 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005319 | 0.348354 | 577 | 20 | 59 | 28.85 | 0.803191 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6337ba6bb736b172e7ae3a784113684d1641780 | 5,320 | py | Python | STResNet/plots/error_plots.py | vtsuperdarn/deep_leaning_on_GSP_TEC | f5989d1742be9c02edbcab37433f468cb2c5f771 | [
"MIT"
] | 9 | 2018-09-17T02:11:26.000Z | 2020-12-16T12:28:35.000Z | STResNet/plots/error_plots.py | vtsuperdarn/deep_leaning_on_GSP_TEC | f5989d1742be9c02edbcab37433f468cb2c5f771 | [
"MIT"
] | null | null | null | STResNet/plots/error_plots.py | vtsuperdarn/deep_leaning_on_GSP_TEC | f5989d1742be9c02edbcab37433f468cb2c5f771 | [
"MIT"
] | 6 | 2018-07-23T13:37:10.000Z | 2022-01-19T17:51:19.000Z | import datetime
import pandas
import seaborn as sns
import matplotlib.pyplot as plt
import os
import re
import glob
amean_err = []
astddev_err = []
amin_err = []
amax_err = []
rmean_err = []
rstddev_err = []
rmin_err = []
rmax_err = []
#loading the true and predicted tec maps for calculating the min/max error, mea... | 31.111111 | 140 | 0.71015 | 892 | 5,320 | 4.044843 | 0.154709 | 0.022173 | 0.026608 | 0.044346 | 0.623614 | 0.572616 | 0.572616 | 0.558758 | 0.545455 | 0.473392 | 0 | 0.043219 | 0.117105 | 5,320 | 170 | 141 | 31.294118 | 0.724931 | 0.065977 | 0 | 0.40625 | 0 | 0 | 0.059084 | 0.02198 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.054688 | 0 | 0.054688 | 0.078125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6382fdd07fdfdca681e712305a912e00b66a929 | 1,262 | py | Python | src/ipdasite.services/ipdasite/services/interfaces/curator.py | NASA-PDS/planetarydata.org | 16731a251c22408b433117f7f01e29d004f11467 | [
"Apache-2.0"
] | null | null | null | src/ipdasite.services/ipdasite/services/interfaces/curator.py | NASA-PDS/planetarydata.org | 16731a251c22408b433117f7f01e29d004f11467 | [
"Apache-2.0"
] | 5 | 2021-03-19T21:41:19.000Z | 2022-02-11T14:55:14.000Z | src/ipdasite.services/ipdasite/services/interfaces/curator.py | NASA-PDS/planetarydata.org | 16731a251c22408b433117f7f01e29d004f11467 | [
"Apache-2.0"
] | null | null | null | # encoding: utf-8
# Copyright 2011 California Institute of Technology. ALL RIGHTS
# RESERVED. U.S. Government Sponsorship acknowledged.
'''Curator: interface'''
from zope.interface import Interface
from zope import schema
from ipdasite.services import ProjectMessageFactory as _
class ICurator(Interface):
'''A pe... | 33.210526 | 108 | 0.669572 | 146 | 1,262 | 5.712329 | 0.486301 | 0.035971 | 0.091127 | 0.095923 | 0.052758 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005149 | 0.230586 | 1,262 | 37 | 109 | 34.108108 | 0.853759 | 0.161648 | 0 | 0.137931 | 0 | 0 | 0.311005 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.103448 | 0 | 0.310345 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c63e00866b579ae084343dd771e2b18a8af736d6 | 867 | py | Python | TelloStuff/Tests/Tello.py | svg94/Drone_Prototype-dirty-implementation- | 53ea429714beff6966c2b9c82e0c96d53baca66c | [
"MIT"
] | null | null | null | TelloStuff/Tests/Tello.py | svg94/Drone_Prototype-dirty-implementation- | 53ea429714beff6966c2b9c82e0c96d53baca66c | [
"MIT"
] | null | null | null | TelloStuff/Tests/Tello.py | svg94/Drone_Prototype-dirty-implementation- | 53ea429714beff6966c2b9c82e0c96d53baca66c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from TelloSDKPy.djitellopy.tello import Tello
import cv2
import pygame
import numpy as np
import time
def main():
#Controller Init
pygame.init()
joysticks = []
for i in range(0,pygame.joystick.get_count()):
joysticks.append(pygame.joystick.Joystick(i))
joysticks[... | 24.083333 | 53 | 0.49827 | 93 | 867 | 4.537634 | 0.505376 | 0.052133 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016854 | 0.384083 | 867 | 35 | 54 | 24.771429 | 0.773408 | 0.053057 | 0 | 0 | 0 | 0 | 0.028186 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.185185 | 0 | 0.259259 | 0.148148 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c63ed36ee241e548d81bdd20f997dcd995f3ec78 | 11,761 | py | Python | models/SPR.py | fresh-professor/DiverseCont | 4be198f5531a7efe2cb91b17066322a38d219127 | [
"MIT"
] | 21 | 2021-09-08T14:37:06.000Z | 2022-02-28T02:58:35.000Z | models/SPR.py | fresh-professor/DiverseCont | 4be198f5531a7efe2cb91b17066322a38d219127 | [
"MIT"
] | 1 | 2021-12-28T09:17:38.000Z | 2021-12-28T11:49:30.000Z | models/SPR.py | fresh-professor/DiverseCont | 4be198f5531a7efe2cb91b17066322a38d219127 | [
"MIT"
] | null | null | null | import os
from copy import deepcopy
import tqdm
import torch
import torch.nn.functional as F
import colorful
import numpy as np
import networkx as nx
from tensorboardX import SummaryWriter
from .reservoir import reservoir
from components import Net
from utils import BetaMixture1D
class SPR(torch.nn.Module):
""" Tr... | 43.884328 | 127 | 0.585239 | 1,452 | 11,761 | 4.5 | 0.184573 | 0.03367 | 0.036731 | 0.027548 | 0.348944 | 0.240588 | 0.197123 | 0.157637 | 0.130089 | 0.121824 | 0 | 0.005139 | 0.288581 | 11,761 | 267 | 128 | 44.048689 | 0.775786 | 0.071337 | 0 | 0.147208 | 0 | 0 | 0.085802 | 0.013 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055838 | false | 0.005076 | 0.060914 | 0 | 0.147208 | 0.030457 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c640ef3189a49dcfa1947c8d0c9f7d5961226015 | 6,602 | py | Python | tests/pyunity/testScene/testScene.py | rayzchen/PyUnity | 8ed436eca7a84f05190c1fa275c58da5c6059926 | [
"MIT"
] | null | null | null | tests/pyunity/testScene/testScene.py | rayzchen/PyUnity | 8ed436eca7a84f05190c1fa275c58da5c6059926 | [
"MIT"
] | null | null | null | tests/pyunity/testScene/testScene.py | rayzchen/PyUnity | 8ed436eca7a84f05190c1fa275c58da5c6059926 | [
"MIT"
] | null | null | null | # Copyright (c) 2020-2022 The PyUnity Team
# This file is licensed under the MIT License.
# See https://docs.pyunity.x10.bz/en/latest/license.html
from pyunity import (
SceneManager, Component, Camera, AudioListener, Light,
GameObject, Tag, Transform, GameObjectException,
ComponentException, Canvas, PyUnit... | 36.882682 | 85 | 0.628294 | 735 | 6,602 | 5.643537 | 0.187755 | 0.065574 | 0.048216 | 0.057859 | 0.372469 | 0.301109 | 0.27459 | 0.202748 | 0.152604 | 0.128496 | 0 | 0.008656 | 0.265071 | 6,602 | 178 | 86 | 37.089888 | 0.846249 | 0.041048 | 0 | 0.323741 | 0 | 0 | 0.07943 | 0 | 0 | 0 | 0 | 0 | 0.374101 | 1 | 0.064748 | false | 0 | 0.021583 | 0 | 0.100719 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c64201468eb9a627a5893c74a3ccfcc9bf284d58 | 1,806 | py | Python | alembic_migration/alembic_handler.py | NASA-IMPACT/hls-sentinel2-downloader-serverless | e3e4f542fc805c6259f20a6dd932c98cccd4144c | [
"Apache-2.0"
] | null | null | null | alembic_migration/alembic_handler.py | NASA-IMPACT/hls-sentinel2-downloader-serverless | e3e4f542fc805c6259f20a6dd932c98cccd4144c | [
"Apache-2.0"
] | 2 | 2021-07-23T00:49:42.000Z | 2021-07-23T00:51:25.000Z | alembic_migration/alembic_handler.py | NASA-IMPACT/hls-sentinel2-downloader-serverless | e3e4f542fc805c6259f20a6dd932c98cccd4144c | [
"Apache-2.0"
] | null | null | null | import logging
import os
import alembic.command
import alembic.config
import cfnresponse
from db.session import get_session, get_session_maker
from retry import retry
from sqlalchemy.exc import OperationalError
def log(log_statement: str):
"""
Gets a Logger for the Lambda function with level logging.INFO and... | 30.1 | 87 | 0.668328 | 218 | 1,806 | 5.426606 | 0.46789 | 0.054945 | 0.050719 | 0.06847 | 0.121724 | 0.089603 | 0.089603 | 0 | 0 | 0 | 0 | 0.002899 | 0.23588 | 1,806 | 59 | 88 | 30.610169 | 0.854348 | 0.136213 | 0 | 0.046512 | 0 | 0 | 0.180809 | 0.013708 | 0 | 0 | 0 | 0 | 0 | 1 | 0.069767 | false | 0 | 0.186047 | 0 | 0.27907 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c642eb175ecb18dbaa59adf93fe2e5472ccf50d1 | 1,229 | py | Python | ch2/q25solution.py | kylepw/ctci | 7e2fcc6775db3789d0e425f4fb969acf6c44aad5 | [
"MIT"
] | null | null | null | ch2/q25solution.py | kylepw/ctci | 7e2fcc6775db3789d0e425f4fb969acf6c44aad5 | [
"MIT"
] | null | null | null | ch2/q25solution.py | kylepw/ctci | 7e2fcc6775db3789d0e425f4fb969acf6c44aad5 | [
"MIT"
] | null | null | null | from LinkedList import LinkedList
def sum_lists(ll_a, ll_b):
n1, n2 = ll_a.head, ll_b.head
ll = LinkedList()
carry = 0
while n1 or n2:
result = carry
if n1:
result += n1.value
n1 = n1.next
if n2:
result += n2.value
n2 = n2.next
... | 21.561404 | 52 | 0.570382 | 207 | 1,229 | 3.188406 | 0.251208 | 0.063636 | 0.045455 | 0.045455 | 0.289394 | 0.277273 | 0.166667 | 0.054545 | 0 | 0 | 0 | 0.045077 | 0.314076 | 1,229 | 57 | 53 | 21.561404 | 0.737841 | 0.10415 | 0 | 0.243902 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04878 | false | 0 | 0.02439 | 0 | 0.121951 | 0.073171 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c646039bec76cea06e642add68741d31531aa8e2 | 5,147 | py | Python | cmdb-compliance/libs/server/server_common.py | zjj1002/aws-cloud-cmdb-system | 47982007688e5db1272435891cb654ab11d0d60a | [
"Apache-2.0"
] | null | null | null | cmdb-compliance/libs/server/server_common.py | zjj1002/aws-cloud-cmdb-system | 47982007688e5db1272435891cb654ab11d0d60a | [
"Apache-2.0"
] | 1 | 2022-01-04T13:53:16.000Z | 2022-01-04T13:53:16.000Z | cmdb-optimization/libs/server/server_common.py | zjj1002/aws-cloud-cmdb-system | 47982007688e5db1272435891cb654ab11d0d60a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2019/5/15 14:44
# @Author : Fred Yangxiaofei
# @File : server_common.py
# @Role : server公用方法,记录日志,更新资产,推送密钥,主要给手动更新资产使用
from models.server import Server, AssetErrorLog, ServerDetail
from libs.db_context import DBContext
from libs.web_logs import ins_log... | 41.508065 | 120 | 0.541092 | 552 | 5,147 | 4.786232 | 0.25 | 0.051476 | 0.024603 | 0.036336 | 0.370553 | 0.342165 | 0.310371 | 0.259273 | 0.259273 | 0.154428 | 0 | 0.007476 | 0.350301 | 5,147 | 123 | 121 | 41.845528 | 0.782596 | 0.108413 | 0 | 0.244186 | 0 | 0 | 0.032863 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034884 | false | 0.011628 | 0.05814 | 0 | 0.116279 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6463fc79c5c1fa3ed6d7d6dc133cda7182d1756 | 1,607 | py | Python | src/test/serialization/codec/object/test_string_codec.py | typingtanuki/pyserialization | f4a0d9cff08b3a6ce8f83f3a258c4dce1367d151 | [
"Apache-2.0"
] | null | null | null | src/test/serialization/codec/object/test_string_codec.py | typingtanuki/pyserialization | f4a0d9cff08b3a6ce8f83f3a258c4dce1367d151 | [
"Apache-2.0"
] | null | null | null | src/test/serialization/codec/object/test_string_codec.py | typingtanuki/pyserialization | f4a0d9cff08b3a6ce8f83f3a258c4dce1367d151 | [
"Apache-2.0"
] | null | null | null | import unittest
from src.main.serialization.codec.codec import Codec
from src.main.serialization.codec.object.stringCodec import StringCodec
from src.main.serialization.codec.primitive.shortCodec import ShortCodec
from src.main.serialization.codec.utils.byteIo import ByteIo
from src.main.serialization.codec.utils.byte... | 40.175 | 116 | 0.654636 | 186 | 1,607 | 5.548387 | 0.365591 | 0.015504 | 0.087209 | 0.116279 | 0.161822 | 0.077519 | 0 | 0 | 0 | 0 | 0 | 0.02771 | 0.236465 | 1,607 | 39 | 117 | 41.205128 | 0.813366 | 0 | 0 | 0.0625 | 0 | 0.03125 | 0.357187 | 0.11201 | 0 | 0 | 0 | 0 | 0.03125 | 1 | 0.0625 | false | 0 | 0.21875 | 0 | 0.3125 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c647d169764fd3968e368f07e9481ecd112d4727 | 539 | py | Python | dataviz/ex1.py | jonaslindemann/compute-course-public | b8f55595ebbd790d79b525efdff17b8517154796 | [
"MIT"
] | 4 | 2021-09-12T12:07:01.000Z | 2021-09-29T17:38:34.000Z | dataviz/ex1.py | jonaslindemann/compute-course-public | b8f55595ebbd790d79b525efdff17b8517154796 | [
"MIT"
] | null | null | null | dataviz/ex1.py | jonaslindemann/compute-course-public | b8f55595ebbd790d79b525efdff17b8517154796 | [
"MIT"
] | 5 | 2020-10-24T16:02:31.000Z | 2021-09-28T20:57:46.000Z | # -*- coding: utf-8 -*-
"""
Created on Wed Jun 7 14:58:44 2017
@author: Jonas Lindemann
"""
import numpy as np
import pyvtk as vtk
print("Reading from uvw.dat...")
xyzuvw = np.loadtxt('uvw.dat', skiprows=2)
print("Converting to points and vectors")
points = xyzuvw[:, 0:3].tolist()
vectors = xyzuvw[:... | 24.5 | 96 | 0.654917 | 77 | 539 | 4.584416 | 0.649351 | 0.033994 | 0.096317 | 0.11898 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.053215 | 0.163265 | 539 | 21 | 97 | 25.666667 | 0.72949 | 0.155844 | 0 | 0 | 0 | 0 | 0.183529 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0.2 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6487ab8b368f34287f785fc89a730b8d8fe1f9f | 2,237 | py | Python | nginc/__init__.py | FlorianLudwig/nginc | 489546d1b0190047150bf3134071aa88c64f8c3d | [
"Apache-2.0"
] | 1 | 2015-11-01T12:16:17.000Z | 2015-11-01T12:16:17.000Z | nginc/__init__.py | FlorianLudwig/nginc | 489546d1b0190047150bf3134071aa88c64f8c3d | [
"Apache-2.0"
] | null | null | null | nginc/__init__.py | FlorianLudwig/nginc | 489546d1b0190047150bf3134071aa88c64f8c3d | [
"Apache-2.0"
] | null | null | null | # Copyright 2014 Florian Ludwig
#
# 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 writin... | 30.22973 | 89 | 0.646848 | 299 | 2,237 | 4.769231 | 0.464883 | 0.01122 | 0.047686 | 0.02244 | 0.050491 | 0.035063 | 0 | 0 | 0 | 0 | 0 | 0.021524 | 0.23156 | 2,237 | 73 | 90 | 30.643836 | 0.808028 | 0.246312 | 0 | 0.125 | 0 | 0 | 0.139354 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0.020833 | 0.145833 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c649c2159d59b04bdc795f0bcf96424017779542 | 1,417 | py | Python | Part 2 - Regression/Section 4 - Simple Linear Regression/practice_linear_regression.py | aditya30394/Machine-Learning-A-Z | 8caaf1f94f800fcc7bd594569593c4d713c32d9e | [
"MIT"
] | null | null | null | Part 2 - Regression/Section 4 - Simple Linear Regression/practice_linear_regression.py | aditya30394/Machine-Learning-A-Z | 8caaf1f94f800fcc7bd594569593c4d713c32d9e | [
"MIT"
] | null | null | null | Part 2 - Regression/Section 4 - Simple Linear Regression/practice_linear_regression.py | aditya30394/Machine-Learning-A-Z | 8caaf1f94f800fcc7bd594569593c4d713c32d9e | [
"MIT"
] | null | null | null | # Import important libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# Read the data set
dataset = pd.read_csv('Salary_Data.csv')
X = dataset.iloc[:,:-1].values
y = dataset.iloc[:, 1].values
# Splitting the dataset into the Training set and Test set
from sklearn.model_selection import t... | 32.953488 | 94 | 0.762879 | 234 | 1,417 | 4.5 | 0.371795 | 0.039886 | 0.039886 | 0.034188 | 0.281102 | 0.241216 | 0.241216 | 0.186135 | 0.186135 | 0.186135 | 0 | 0.004058 | 0.130558 | 1,417 | 43 | 95 | 32.953488 | 0.850649 | 0.314749 | 0 | 0.25 | 0 | 0 | 0.16183 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.208333 | 0 | 0.208333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c64c0a450e0399b2acbc4deba8555735fd48b6da | 1,853 | py | Python | source/source_test.py | mengwangk/myinvestor-toolkit | 3dca9e1accfccf1583dcdbec80d1a0fe9dae2e81 | [
"MIT"
] | 7 | 2019-10-13T18:58:33.000Z | 2021-08-07T12:46:22.000Z | source/source_test.py | mengwangk/myinvestor-toolkit | 3dca9e1accfccf1583dcdbec80d1a0fe9dae2e81 | [
"MIT"
] | 7 | 2019-12-16T21:25:34.000Z | 2022-02-10T00:11:22.000Z | source/source_test.py | mengwangk/myinvestor-toolkit | 3dca9e1accfccf1583dcdbec80d1a0fe9dae2e81 | [
"MIT"
] | 4 | 2020-02-01T11:23:51.000Z | 2021-12-13T12:27:18.000Z | # -*- coding: utf-8 -*-
"""Test for various sources
Supported sources
- Yahoo Finance
- I3Investor - KLSe
"""
import datetime as dt
import string
import unittest
from source import YahooFinanceSource, GoogleFinanceSource
class SourceTest(unittest.TestCase):
_TEST_YAHOO_FINANCE_SYMBOL = '6742.KL'
_YAHOO_F... | 30.377049 | 114 | 0.679439 | 213 | 1,853 | 5.544601 | 0.305164 | 0.071126 | 0.060965 | 0.048264 | 0.252329 | 0.234547 | 0.152413 | 0.152413 | 0 | 0 | 0 | 0.021097 | 0.232596 | 1,853 | 60 | 115 | 30.883333 | 0.809423 | 0.188343 | 0 | 0.172414 | 0 | 0 | 0.094086 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.137931 | false | 0 | 0.137931 | 0 | 0.482759 | 0.241379 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c64e4b280de8cd0b21024951fd1499e577dd81d6 | 2,197 | py | Python | solver.py | n8henrie/knapsack | c52179e43a833d57f0df185d5d225444d1725204 | [
"MIT"
] | null | null | null | solver.py | n8henrie/knapsack | c52179e43a833d57f0df185d5d225444d1725204 | [
"MIT"
] | null | null | null | solver.py | n8henrie/knapsack | c52179e43a833d57f0df185d5d225444d1725204 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from collections import namedtuple
from itertools import combinations
import knapsack
def solve_it(input_data, language="rust"):
if language == "python":
return solve_it_python(input_data)
return solve_it_rust(input_data)
def solve_it_rust(input_data):
return knapsack.so... | 26.46988 | 129 | 0.61766 | 308 | 2,197 | 4.256494 | 0.340909 | 0.08238 | 0.022883 | 0.036613 | 0.143402 | 0.022883 | 0 | 0 | 0 | 0 | 0 | 0.01306 | 0.268093 | 2,197 | 82 | 130 | 26.792683 | 0.802239 | 0.084206 | 0 | 0.071429 | 0 | 0.017857 | 0.088191 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.053571 | false | 0 | 0.071429 | 0.017857 | 0.196429 | 0.071429 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c65170e65e760d40c99c948a36c0e972a977e113 | 3,765 | py | Python | api/mon/utils.py | klebed/esdc-ce | 2c9e4591f344247d345a83880ba86777bb794460 | [
"Apache-2.0"
] | 97 | 2016-11-15T14:44:23.000Z | 2022-03-13T18:09:15.000Z | api/mon/utils.py | klebed/esdc-ce | 2c9e4591f344247d345a83880ba86777bb794460 | [
"Apache-2.0"
] | 334 | 2016-11-17T19:56:57.000Z | 2022-03-18T10:45:53.000Z | api/mon/utils.py | klebed/esdc-ce | 2c9e4591f344247d345a83880ba86777bb794460 | [
"Apache-2.0"
] | 33 | 2017-01-02T16:04:13.000Z | 2022-02-07T19:20:24.000Z | from django.conf import settings
from api.task.internal import InternalTask
from api.task.response import mgmt_task_response
from vms.utils import AttrDict
from vms.models import Vm
from que import TG_DC_UNBOUND, TG_DC_BOUND
class MonitoringGraph(AttrDict):
"""
Monitoring graph configuration.
"""
def... | 37.277228 | 106 | 0.619124 | 449 | 3,765 | 4.962138 | 0.345212 | 0.064183 | 0.028725 | 0.021544 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001468 | 0.276228 | 3,765 | 100 | 107 | 37.65 | 0.816147 | 0.162815 | 0 | 0.046875 | 0 | 0 | 0.09375 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.09375 | 0 | 0.265625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6555d7ff4abb61b8057f24c0663ec8a607ba4a5 | 714 | py | Python | Pillow-4.3.0/Tests/test_image_toqpixmap.py | leorzz/simplemooc | 8b1c5e939d534b1fd729596df4c59fc69708b896 | [
"MIT"
] | null | null | null | Pillow-4.3.0/Tests/test_image_toqpixmap.py | leorzz/simplemooc | 8b1c5e939d534b1fd729596df4c59fc69708b896 | [
"MIT"
] | null | null | null | Pillow-4.3.0/Tests/test_image_toqpixmap.py | leorzz/simplemooc | 8b1c5e939d534b1fd729596df4c59fc69708b896 | [
"MIT"
] | null | null | null | from helper import unittest, PillowTestCase, hopper
from test_imageqt import PillowQtTestCase, PillowQPixmapTestCase
from PIL import ImageQt
if ImageQt.qt_is_installed:
from PIL.ImageQt import QPixmap
class TestToQPixmap(PillowQPixmapTestCase, PillowTestCase):
def test_sanity(self):
PillowQtTestCas... | 25.5 | 64 | 0.666667 | 77 | 714 | 6.012987 | 0.584416 | 0.056156 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001821 | 0.231092 | 714 | 27 | 65 | 26.444444 | 0.84153 | 0.028011 | 0 | 0 | 0 | 0 | 0.041908 | 0 | 0 | 0 | 0 | 0 | 0.125 | 1 | 0.0625 | false | 0 | 0.25 | 0 | 0.375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d65ef125e43cf3342be46e1656a8eaaba3ec76c9 | 6,483 | py | Python | hw-10/rainwater-hw-10.py | rainwaterone/stat656 | c582fc8c6a55c377e2b57d1f7b10471d625d79db | [
"MIT"
] | null | null | null | hw-10/rainwater-hw-10.py | rainwaterone/stat656 | c582fc8c6a55c377e2b57d1f7b10471d625d79db | [
"MIT"
] | null | null | null | hw-10/rainwater-hw-10.py | rainwaterone/stat656 | c582fc8c6a55c377e2b57d1f7b10471d625d79db | [
"MIT"
] | null | null | null | """
STAT 656 HW-10
@author:Lee Rainwater
@heavy_lifting_by: Dr. Edward Jones
@date: 2020-07-29
"""
import pandas as pd
# Classes provided from AdvancedAnalytics ver 1.25
from AdvancedAnalytics.Text import text_analysis
from AdvancedAnalytics.Text import sentiment_analysis
from sklearn.feature_extrac... | 37.912281 | 100 | 0.653555 | 919 | 6,483 | 4.45049 | 0.231774 | 0.04401 | 0.017604 | 0.020538 | 0.587775 | 0.534474 | 0.497066 | 0.429095 | 0.416626 | 0.377017 | 0 | 0.020691 | 0.187413 | 6,483 | 170 | 101 | 38.135294 | 0.755695 | 0.197902 | 0 | 0.372881 | 0 | 0 | 0.181393 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.008475 | false | 0 | 0.050847 | 0 | 0.067797 | 0.211864 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d661b7759b3dc688b6b6db70c85b0949bed0d166 | 10,520 | py | Python | dist/geoapi/data/queries.py | tinyperegrine/geoapi | 63d50427adef7b8db727f2942b39791bdae32a4c | [
"MIT"
] | 2 | 2021-05-24T22:00:30.000Z | 2021-07-26T07:39:23.000Z | src/geoapi/data/queries.py | tinyperegrine/geoapi | 63d50427adef7b8db727f2942b39791bdae32a4c | [
"MIT"
] | 5 | 2021-03-19T03:42:09.000Z | 2022-03-11T23:59:20.000Z | src/geoapi/data/queries.py | tinyperegrine/geoapi | 63d50427adef7b8db727f2942b39791bdae32a4c | [
"MIT"
] | null | null | null | """Query Object for all read-only queries to the Real Property table
"""
import os
import logging
from time import time
from typing import List
import asyncio
import aiohttp
import aiofiles
import databases
from PIL import Image
import sqlalchemy
from sqlalchemy.sql import select, func
import geoapi.common.spatial_uti... | 39.400749 | 120 | 0.616825 | 1,206 | 10,520 | 5.150912 | 0.201493 | 0.032196 | 0.046523 | 0.047328 | 0.341919 | 0.314392 | 0.264488 | 0.208789 | 0.17933 | 0.162911 | 0 | 0.011437 | 0.310171 | 10,520 | 266 | 121 | 39.548872 | 0.844564 | 0.060171 | 0 | 0.240741 | 0 | 0.012346 | 0.063832 | 0 | 0 | 0 | 0 | 0.007519 | 0 | 1 | 0.006173 | false | 0 | 0.092593 | 0 | 0.148148 | 0.024691 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6640fe2dcd11b0460e228747652381b73af179f | 1,685 | py | Python | src/api/proxy/proxy.py | HaoJiangGuo/fp-server | 9c00b8f0ee64049eb9f214c3efe1fdee977542a6 | [
"MIT"
] | 2 | 2018-08-17T06:56:21.000Z | 2019-01-08T03:10:32.000Z | src/api/proxy/proxy.py | HaoJiangGuo/fp-server | 9c00b8f0ee64049eb9f214c3efe1fdee977542a6 | [
"MIT"
] | null | null | null | src/api/proxy/proxy.py | HaoJiangGuo/fp-server | 9c00b8f0ee64049eb9f214c3efe1fdee977542a6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
API for proxy
"""
from core import exceptions
from core.web import WebHandler
from service.proxy.serializers import ProxySerializer
from service.proxy.proxy import proxy_srv
from utils import log as logger
from utils.routes import route
def return_developing():
... | 23.402778 | 68 | 0.591691 | 199 | 1,685 | 4.899497 | 0.41206 | 0.035897 | 0.057436 | 0.046154 | 0.110769 | 0.094359 | 0 | 0 | 0 | 0 | 0 | 0.004858 | 0.267062 | 1,685 | 71 | 69 | 23.732394 | 0.784615 | 0.069436 | 0 | 0.108108 | 0 | 0 | 0.064917 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027027 | false | 0 | 0.162162 | 0 | 0.243243 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d66723dcef2bb7193246b5983ca2285df66c7c28 | 2,058 | py | Python | projects/crawler_for_prodect_category/category_output/to_html.py | ice-melt/python-lib | 345e34fff7386d91acbb03a01fd4127c5dfed037 | [
"MIT"
] | null | null | null | projects/crawler_for_prodect_category/category_output/to_html.py | ice-melt/python-lib | 345e34fff7386d91acbb03a01fd4127c5dfed037 | [
"MIT"
] | null | null | null | projects/crawler_for_prodect_category/category_output/to_html.py | ice-melt/python-lib | 345e34fff7386d91acbb03a01fd4127c5dfed037 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
from projects.crawler_for_prodect_category.category_output import output_utils
import codecs
Logger = output_utils.Logger
def output(filename, datas):
"""
将爬取的数据导出到html
:return:
"""
Logger.info('Output to html file, please wait ...')
# object_serialize('object.pkl',self.dat... | 43.787234 | 113 | 0.573372 | 274 | 2,058 | 4.270073 | 0.412409 | 0.153846 | 0.136752 | 0.064103 | 0.198291 | 0.157265 | 0.157265 | 0 | 0 | 0 | 0 | 0.024528 | 0.227405 | 2,058 | 46 | 114 | 44.73913 | 0.711321 | 0.056365 | 0 | 0 | 0 | 0.114286 | 0.459093 | 0.227202 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028571 | false | 0 | 0.057143 | 0 | 0.085714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d667529945c63e9ee84e1cddf5e8de3b084ac4c0 | 5,567 | py | Python | hsv.py | FarinaMatteo/siv-project | fbac7c7c114db51d9fdcf90aba296906abdf91af | [
"MIT"
] | null | null | null | hsv.py | FarinaMatteo/siv-project | fbac7c7c114db51d9fdcf90aba296906abdf91af | [
"MIT"
] | null | null | null | hsv.py | FarinaMatteo/siv-project | fbac7c7c114db51d9fdcf90aba296906abdf91af | [
"MIT"
] | 1 | 2021-04-13T11:22:06.000Z | 2021-04-13T11:22:06.000Z | """
Background vs Foreground Image segmentation. The goal is to produce a segmentation map that imitates
videocalls tools like the ones implemented in Google Meet, Zoom without using Deep Learning- or Machine Learning-
based techniques.
This script does the following:
- builds a background model using the first 3s ... | 43.492188 | 126 | 0.623496 | 718 | 5,567 | 4.657382 | 0.380223 | 0.011962 | 0.025419 | 0.015251 | 0.088517 | 0.071172 | 0.049641 | 0.049641 | 0.049641 | 0 | 0 | 0.018665 | 0.297467 | 5,567 | 128 | 127 | 43.492188 | 0.836359 | 0.331238 | 0 | 0.060606 | 0 | 0 | 0.046208 | 0 | 0 | 0 | 0.001087 | 0 | 0 | 1 | 0.015152 | false | 0 | 0.090909 | 0 | 0.106061 | 0.015152 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d66b1cd60139d9cc3f50ee9f63aec7859add227e | 6,967 | py | Python | cuchem/cuchem/wf/cluster/gpurandomprojection.py | dorukozturk/cheminformatics | c0fa66dd4f4e6650d7286ae2be533c66b7a2b270 | [
"Apache-2.0"
] | null | null | null | cuchem/cuchem/wf/cluster/gpurandomprojection.py | dorukozturk/cheminformatics | c0fa66dd4f4e6650d7286ae2be533c66b7a2b270 | [
"Apache-2.0"
] | null | null | null | cuchem/cuchem/wf/cluster/gpurandomprojection.py | dorukozturk/cheminformatics | c0fa66dd4f4e6650d7286ae2be533c66b7a2b270 | [
"Apache-2.0"
] | null | null | null | #!/opt/conda/envs/rapids/bin/python3
#
# Copyright (c) 2020, NVIDIA CORPORATION.
#
# 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 ... | 35.912371 | 98 | 0.68724 | 860 | 6,967 | 5.317442 | 0.275581 | 0.026241 | 0.062322 | 0.043735 | 0.218456 | 0.176252 | 0.127706 | 0.096217 | 0.085502 | 0.085502 | 0 | 0.005373 | 0.225348 | 6,967 | 193 | 99 | 36.098446 | 0.841949 | 0.117985 | 0 | 0.102362 | 0 | 0 | 0.048992 | 0.009667 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086614 | false | 0 | 0.133858 | 0.015748 | 0.307087 | 0.03937 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d66c0ed5c84f564a500b3ce340b852c977ab112f | 2,176 | py | Python | pkg/azure/resource_group.py | NihilBabu/xmigrate | c33d0b506a86a0ebef22df8ce299cd84f560d034 | [
"Apache-2.0"
] | 10 | 2021-01-02T11:59:46.000Z | 2021-06-14T04:38:45.000Z | pkg/azure/resource_group.py | NihilBabu/xmigrate | c33d0b506a86a0ebef22df8ce299cd84f560d034 | [
"Apache-2.0"
] | 12 | 2021-01-06T07:02:22.000Z | 2021-03-11T06:34:07.000Z | pkg/azure/resource_group.py | NihilBabu/xmigrate | c33d0b506a86a0ebef22df8ce299cd84f560d034 | [
"Apache-2.0"
] | 3 | 2021-01-10T12:33:52.000Z | 2021-04-12T14:29:13.000Z | # Import the needed management objects from the libraries. The azure.common library
# is installed automatically with the other libraries.
from azure.common.client_factory import get_client_from_cli_profile
from azure.mgmt.resource import ResourceManagementClient
from utils.dbconn import *
from utils.logger import *
fr... | 50.604651 | 108 | 0.68704 | 259 | 2,176 | 5.625483 | 0.320463 | 0.089224 | 0.111187 | 0.154427 | 0.302677 | 0.23267 | 0.128346 | 0.05628 | 0 | 0 | 0 | 0.004681 | 0.214614 | 2,176 | 42 | 109 | 51.809524 | 0.847864 | 0.075368 | 0 | 0.157895 | 0 | 0 | 0.182271 | 0.010956 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.184211 | 0 | 0.263158 | 0.105263 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d670c4735ca674e296208c80467697f931ec147e | 2,020 | py | Python | docs/examples/arch/full_rhino.py | GeneKao/compas_assembly | 92fde9cd3948c1b9bb41b4ea7fc866392905182d | [
"MIT"
] | null | null | null | docs/examples/arch/full_rhino.py | GeneKao/compas_assembly | 92fde9cd3948c1b9bb41b4ea7fc866392905182d | [
"MIT"
] | null | null | null | docs/examples/arch/full_rhino.py | GeneKao/compas_assembly | 92fde9cd3948c1b9bb41b4ea7fc866392905182d | [
"MIT"
] | null | null | null | import os
from compas_assembly.datastructures import Assembly
from compas_assembly.geometry import Arch
from compas_assembly.rhino import AssemblyArtist
from compas.rpc import Proxy
proxy = Proxy()
proxy.restart_server()
try:
HERE = os.path.dirname(__file__)
except NameError:
HERE = os.getcwd()
DATA = os.p... | 29.275362 | 97 | 0.517327 | 193 | 2,020 | 5.243523 | 0.450777 | 0.049407 | 0.05336 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011976 | 0.090594 | 2,020 | 68 | 98 | 29.705882 | 0.538922 | 0.421782 | 0 | 0 | 0 | 0 | 0.098176 | 0.045178 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.151515 | 0 | 0.151515 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d67c213b9a36706b9d0346fd0b72cfdc78942fe2 | 855 | py | Python | palabox/processing/text/properly_cut_text.py | marcoboucas/palabox | d6e937db909daac0f9d3c5dff2309c29b5b68ea8 | [
"MIT"
] | null | null | null | palabox/processing/text/properly_cut_text.py | marcoboucas/palabox | d6e937db909daac0f9d3c5dff2309c29b5b68ea8 | [
"MIT"
] | null | null | null | palabox/processing/text/properly_cut_text.py | marcoboucas/palabox | d6e937db909daac0f9d3c5dff2309c29b5b68ea8 | [
"MIT"
] | null | null | null | """Cut properly some text."""
import re
END_OF_SENTENCE_CHARACTERS = {".", ";", "!", "?"}
def properly_cut_text(
text: str, start_idx: int, end_idx: int, nbr_before: int = 30, nbr_after: int = 30
) -> str:
"""Properly cut a text around some interval."""
str_length = len(text)
start_idx = max(0, star... | 27.580645 | 88 | 0.604678 | 124 | 855 | 3.959677 | 0.346774 | 0.09776 | 0.07332 | 0.077393 | 0.232179 | 0.13442 | 0.13442 | 0.13442 | 0 | 0 | 0 | 0.01374 | 0.233918 | 855 | 30 | 89 | 28.5 | 0.735878 | 0.173099 | 0 | 0.210526 | 0 | 0 | 0.05036 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.052632 | 0 | 0.157895 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d67f25d3516ae26ca8b76017de005e34113a7d6e | 7,293 | py | Python | process/triplifier.py | biocodellc/ontology-data-pipeline | f89dc159ab710368b3054bf8e8d70fb4c967527c | [
"BSD-3-Clause"
] | 13 | 2020-06-27T18:37:12.000Z | 2022-03-07T16:19:14.000Z | process/triplifier.py | biocodellc/ontology-data-pipeline | f89dc159ab710368b3054bf8e8d70fb4c967527c | [
"BSD-3-Clause"
] | 31 | 2019-01-05T18:39:37.000Z | 2021-12-13T19:43:40.000Z | process/triplifier.py | biocodellc/ontology-data-pipeline | f89dc159ab710368b3054bf8e8d70fb4c967527c | [
"BSD-3-Clause"
] | 1 | 2021-11-17T19:04:31.000Z | 2021-11-17T19:04:31.000Z | # -*- coding: utf-8 -*-
import re
import pandas as pd
import multiprocessing
from multiprocessing.dummy import Pool as ThreadPool
import logging
from .utils import isNull
class Triplifier(object):
def __init__(self, config):
self.config = config
self.integer_columns = []
for rule in self.c... | 39.209677 | 127 | 0.574935 | 894 | 7,293 | 4.525727 | 0.214765 | 0.037074 | 0.033366 | 0.044488 | 0.347751 | 0.314632 | 0.219476 | 0.150766 | 0.121602 | 0.09738 | 0 | 0.024718 | 0.295489 | 7,293 | 185 | 128 | 39.421622 | 0.762748 | 0.124092 | 0 | 0.224 | 0 | 0.072 | 0.197118 | 0 | 0 | 0 | 0 | 0.005405 | 0 | 1 | 0.088 | false | 0 | 0.08 | 0 | 0.288 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d680bcdee688777add2842ce0bdbc8ac9c241004 | 455 | py | Python | core/urls.py | tyronedamasceno/coffe-api | 8cbf48c35c5dbd9ddfbeb921140be1d96a48698f | [
"MIT"
] | null | null | null | core/urls.py | tyronedamasceno/coffe-api | 8cbf48c35c5dbd9ddfbeb921140be1d96a48698f | [
"MIT"
] | 8 | 2020-02-12T02:59:28.000Z | 2022-02-10T14:02:04.000Z | core/urls.py | tyronedamasceno/coffe-api | 8cbf48c35c5dbd9ddfbeb921140be1d96a48698f | [
"MIT"
] | null | null | null | from django.urls import path, include
from rest_framework import routers
from core import views
router = routers.DefaultRouter()
router.register('coffe_types', views.CoffeTypeViewSet, base_name='coffe_types')
router.register('harvests', views.HarvestViewSet, base_name='harvests')
router.register(
'storage_repor... | 22.75 | 79 | 0.771429 | 54 | 455 | 6.333333 | 0.481481 | 0.122807 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.10989 | 455 | 19 | 80 | 23.947368 | 0.844444 | 0 | 0 | 0 | 0 | 0 | 0.153846 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.230769 | 0 | 0.230769 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d681b7a1e2748c8e44788cf4efd924a9d9b41944 | 5,876 | py | Python | ros/src/waypoint_updater/waypoint_updater.py | ryan-jonesford/CarND-Capstone | f8095bb2b7370b0825a89d419c19884431dfb754 | [
"MIT"
] | null | null | null | ros/src/waypoint_updater/waypoint_updater.py | ryan-jonesford/CarND-Capstone | f8095bb2b7370b0825a89d419c19884431dfb754 | [
"MIT"
] | 3 | 2018-11-04T23:54:56.000Z | 2018-11-18T19:37:11.000Z | ros/src/waypoint_updater/waypoint_updater.py | ryan-jonesford/CarND-Capstone | f8095bb2b7370b0825a89d419c19884431dfb754 | [
"MIT"
] | 2 | 2018-10-29T23:45:15.000Z | 2018-11-04T21:43:16.000Z | #!/usr/bin/env python
import rospy
from geometry_msgs.msg import PoseStamped
from styx_msgs.msg import Lane, Waypoint
from scipy.spatial import KDTree
import numpy as np
from std_msgs.msg import Int32
import math
'''
This node will publish waypoints from the car's current position to some `x` distance ahead.
As men... | 36.955975 | 131 | 0.615895 | 802 | 5,876 | 4.32793 | 0.266833 | 0.037453 | 0.030251 | 0.023048 | 0.084126 | 0.035725 | 0 | 0 | 0 | 0 | 0 | 0.015188 | 0.294078 | 5,876 | 158 | 132 | 37.189873 | 0.821601 | 0.088836 | 0 | 0.063636 | 0 | 0 | 0.025512 | 0 | 0 | 0 | 0 | 0.006329 | 0 | 1 | 0.109091 | false | 0.009091 | 0.063636 | 0.009091 | 0.218182 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d681e5845812f47217df144a4c421bd1734a615c | 1,633 | py | Python | tools/configure.py | corrodedHash/sigmarsGarden | c6070005d9e01523c0b0deb2efbbfa5ffef0ce6f | [
"MIT"
] | null | null | null | tools/configure.py | corrodedHash/sigmarsGarden | c6070005d9e01523c0b0deb2efbbfa5ffef0ce6f | [
"MIT"
] | null | null | null | tools/configure.py | corrodedHash/sigmarsGarden | c6070005d9e01523c0b0deb2efbbfa5ffef0ce6f | [
"MIT"
] | null | null | null | from typing import Any
import cv2
import numpy as np
from sigmarsGarden.config import Configuration
from sigmarsGarden.parse import circle_coords
def configure(img: Any) -> Configuration:
cv2.namedWindow("configureDisplay")
# def click_and_crop(event, x, y, flags, param) -> None:
# print(event, x, ... | 24.014706 | 77 | 0.590325 | 199 | 1,633 | 4.678392 | 0.38191 | 0.118153 | 0.051557 | 0.025779 | 0.135338 | 0.098818 | 0 | 0 | 0 | 0 | 0 | 0.052074 | 0.306185 | 1,633 | 67 | 78 | 24.373134 | 0.769638 | 0.090631 | 0 | 0 | 0 | 0 | 0.048616 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.040816 | false | 0 | 0.102041 | 0 | 0.163265 | 0.061224 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d682adb11768d513c2f5a3a5ae14d06fb88db0b8 | 4,847 | py | Python | gpt2_generate.py | LindgeW/PreLM | 39a6b1c2fc0ccff7e8143f14d113cdfa79f63d79 | [
"Apache-2.0"
] | 1 | 2022-03-09T14:40:24.000Z | 2022-03-09T14:40:24.000Z | gpt2_generate.py | LindgeW/PreLM | 39a6b1c2fc0ccff7e8143f14d113cdfa79f63d79 | [
"Apache-2.0"
] | null | null | null | gpt2_generate.py | LindgeW/PreLM | 39a6b1c2fc0ccff7e8143f14d113cdfa79f63d79 | [
"Apache-2.0"
] | null | null | null | import torch
from transformers import GPT2Tokenizer, GPT2LMHeadModel
from torch.utils.data import TensorDataset, DataLoader
# reference: \transformers\generation_utils.py
def select_greedy(logits):
next_token_logits = logits[:, -1, :]
# Greedy decoding
next_token = torch.argmax(next_token_logits, dim=-1)
... | 39.08871 | 101 | 0.676295 | 663 | 4,847 | 4.713424 | 0.268477 | 0.05472 | 0.0576 | 0.04032 | 0.26752 | 0.21184 | 0.12416 | 0.12416 | 0.12416 | 0.12416 | 0 | 0.019156 | 0.203012 | 4,847 | 123 | 102 | 39.406504 | 0.789801 | 0.17908 | 0 | 0.162791 | 0 | 0 | 0.030571 | 0.005558 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081395 | false | 0 | 0.034884 | 0 | 0.197674 | 0.081395 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d68824df1e94960138084688a7d3f88b19a19dff | 8,044 | py | Python | gradient_chaser.py | RobertOpitz/Gradient_Chaser | ca2011342d28798808769831655b74d9adfc6d26 | [
"MIT"
] | null | null | null | gradient_chaser.py | RobertOpitz/Gradient_Chaser | ca2011342d28798808769831655b74d9adfc6d26 | [
"MIT"
] | null | null | null | gradient_chaser.py | RobertOpitz/Gradient_Chaser | ca2011342d28798808769831655b74d9adfc6d26 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed May 13 17:37:31 2020
@author: robertopitz
"""
import numpy as np
from random import randrange
from math import isnan
import pygame as pg
def get_new_prey_pos(pos, board):
while True:
c = randrange(1,len(board)-1)
r = randrange(1,len... | 34.084746 | 80 | 0.441074 | 1,182 | 8,044 | 2.890017 | 0.132826 | 0.087822 | 0.063525 | 0.042155 | 0.523126 | 0.46897 | 0.407787 | 0.390515 | 0.321721 | 0.277518 | 0 | 0.049211 | 0.345724 | 8,044 | 235 | 81 | 34.229787 | 0.599848 | 0.076827 | 0 | 0.305556 | 0 | 0.011111 | 0.127068 | 0.016816 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0.005556 | 0.022222 | 0.005556 | 0.127778 | 0.016667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d689694bd6143417bf16953605dd1dede7dec316 | 1,375 | py | Python | prior_config.py | ZENGXH/NPDRAW | 339d1d9b4880cce891cafe7c20198ef7c121a29e | [
"MIT"
] | 21 | 2021-06-28T18:29:28.000Z | 2022-03-13T09:12:07.000Z | prior_config.py | ZENGXH/NPDRAW | 339d1d9b4880cce891cafe7c20198ef7c121a29e | [
"MIT"
] | null | null | null | prior_config.py | ZENGXH/NPDRAW | 339d1d9b4880cce891cafe7c20198ef7c121a29e | [
"MIT"
] | 2 | 2021-07-05T02:29:32.000Z | 2021-11-02T08:25:14.000Z | from utils.yacs_config import CfgNode as CN
__C = CN()
cfg = __C
# cfg.canvas_init=0
cfg.use_vit=0
cfg.use_fast_vit=0
cfg.img_mean=-1
cfg.vit_mlp_dim=2048
cfg.vit_depth=8
cfg.vit_dropout=1
cfg.concat_one_hot=0
cfg.mask_out_prevloc_samples=0
#cfg.input_id_canvas=0
cfg.register_deprecated_key('input_id_canvas')
cfg.use_... | 22.177419 | 48 | 0.786909 | 276 | 1,375 | 3.637681 | 0.434783 | 0.087649 | 0.104582 | 0.119522 | 0.080677 | 0 | 0 | 0 | 0 | 0 | 0 | 0.050553 | 0.079273 | 1,375 | 61 | 49 | 22.540984 | 0.742496 | 0.100364 | 0 | 0 | 0 | 0 | 0.07824 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.017544 | 0 | 0.017544 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d689def2b69b86b6725aa76fbe9f83cda3ccc692 | 1,769 | py | Python | 2021/09/main2.py | chirsz-ever/aoc | dbdc2e32fbef108752db87f3747ce5898a0775ce | [
"BSL-1.0"
] | null | null | null | 2021/09/main2.py | chirsz-ever/aoc | dbdc2e32fbef108752db87f3747ce5898a0775ce | [
"BSL-1.0"
] | null | null | null | 2021/09/main2.py | chirsz-ever/aoc | dbdc2e32fbef108752db87f3747ce5898a0775ce | [
"BSL-1.0"
] | null | null | null | #!/usr/bin/env python3
import sys
from itertools import repeat, product
from operator import mul
from functools import reduce
inputFile = 'input'
if len(sys.argv) >= 2:
inputFile = sys.argv[1]
heightmap : list[list[int]] = []
with open(inputFile) as fin:
for line in fin:
heightmap.append([int(c) for ... | 26.80303 | 64 | 0.569248 | 280 | 1,769 | 3.589286 | 0.217857 | 0.037811 | 0.103483 | 0.055721 | 0.366169 | 0.366169 | 0.366169 | 0.366169 | 0.315423 | 0.208955 | 0 | 0.029253 | 0.265687 | 1,769 | 66 | 64 | 26.80303 | 0.744419 | 0.011871 | 0 | 0.113208 | 0 | 0 | 0.033753 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037736 | false | 0 | 0.075472 | 0 | 0.245283 | 0.018868 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d689f1e24c703d9de5c7460fe0778d147ec02403 | 974 | py | Python | tpDcc/libs/qt/core/traymessage.py | tpDcc/tpQtLib | 26b6e893395633a1b189a1b73654891b7688648d | [
"MIT"
] | 3 | 2019-08-26T05:56:12.000Z | 2019-10-03T11:35:53.000Z | tpDcc/libs/qt/core/traymessage.py | tpDcc/tpQtLib | 26b6e893395633a1b189a1b73654891b7688648d | [
"MIT"
] | null | null | null | tpDcc/libs/qt/core/traymessage.py | tpDcc/tpQtLib | 26b6e893395633a1b189a1b73654891b7688648d | [
"MIT"
] | 1 | 2021-03-03T21:01:50.000Z | 2021-03-03T21:01:50.000Z | #! /usr/bin/env python
# -*- coding: utf-8 -*-
"""
Module that contains custom tray balloon
"""
from __future__ import print_function, division, absolute_import
from Qt.QtWidgets import QWidget, QSystemTrayIcon, QMenu
class TrayMessage(QWidget, object):
def __init__(self, parent=None):
super(TrayMessa... | 27.055556 | 68 | 0.677618 | 117 | 974 | 5.367521 | 0.470085 | 0.127389 | 0.171975 | 0.050955 | 0.098726 | 0.098726 | 0 | 0 | 0 | 0 | 0 | 0.001316 | 0.219713 | 974 | 35 | 69 | 27.828571 | 0.825 | 0.128337 | 0 | 0 | 0 | 0 | 0.036949 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.111111 | 0 | 0.277778 | 0.055556 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d68d945342e1ae0d7e7a7a1d0a9e54406e6ceb70 | 18,034 | py | Python | booltest/battery.py | sobuch/polynomial-distinguishers | 5a007abd222d00cbf99f1083c3b537343d2fff56 | [
"MIT"
] | 5 | 2017-03-03T13:53:51.000Z | 2019-05-09T09:47:28.000Z | booltest/battery.py | sobuch/polynomial-distinguishers | 5a007abd222d00cbf99f1083c3b537343d2fff56 | [
"MIT"
] | 5 | 2017-10-07T11:15:09.000Z | 2021-01-25T17:03:59.000Z | booltest/battery.py | sobuch/polynomial-distinguishers | 5a007abd222d00cbf99f1083c3b537343d2fff56 | [
"MIT"
] | 6 | 2017-03-26T17:06:20.000Z | 2021-11-15T22:22:33.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import argparse
import coloredlogs
import logging
import json
import itertools
import shlex
import time
import queue
import sys
import os
import collections
import tempfile
from jsonpath_ng import jsonpath, parse
from .runner import AsyncRunner
from .common import merge_p... | 37.886555 | 182 | 0.523345 | 2,256 | 18,034 | 4.055408 | 0.155142 | 0.020111 | 0.027872 | 0.003826 | 0.260794 | 0.173789 | 0.15029 | 0.132583 | 0.100557 | 0.087113 | 0 | 0.016541 | 0.342963 | 18,034 | 475 | 183 | 37.966316 | 0.755591 | 0.010314 | 0 | 0.118497 | 0 | 0.011561 | 0.135592 | 0.006541 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057803 | false | 0.028902 | 0.046243 | 0.00578 | 0.156069 | 0.020231 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d68e21dba61d5cbeb398194248f4e63acb8aae21 | 8,346 | py | Python | traincifar224.py | iitm-sysdl/FuSeConv | 04cdf54abfdbf359235d1b4c0848f188b1abbf2d | [
"Apache-2.0"
] | 8 | 2021-02-08T22:12:53.000Z | 2022-02-20T16:33:11.000Z | traincifar224.py | iitm-sysdl/FuSeConv | 04cdf54abfdbf359235d1b4c0848f188b1abbf2d | [
"Apache-2.0"
] | null | null | null | traincifar224.py | iitm-sysdl/FuSeConv | 04cdf54abfdbf359235d1b4c0848f188b1abbf2d | [
"Apache-2.0"
] | 4 | 2021-03-04T11:21:42.000Z | 2022-02-15T07:47:19.000Z | '''
FuSeConv: Fully Separable Convolutions for Fast Inference on Systolic Arrays
Authors: Surya Selvam, Vinod Ganesan, Pratyush Kumar
Email ID: selvams@purdue.edu, vinodg@cse.iitm.ac.in, pratyush@cse.iitm.ac.in
'''
import os
import torch
import wandb
import random
import argparse
import torchvision
import torch.nn as ... | 39.367925 | 149 | 0.606278 | 920 | 8,346 | 5.43587 | 0.26087 | 0.041792 | 0.061188 | 0.074985 | 0.454709 | 0.395321 | 0.25215 | 0.158768 | 0.146771 | 0.146771 | 0 | 0.033742 | 0.257848 | 8,346 | 211 | 150 | 39.554502 | 0.773652 | 0.024682 | 0 | 0.274725 | 0 | 0 | 0.106493 | 0.002705 | 0 | 0 | 0 | 0 | 0.005495 | 1 | 0.021978 | false | 0 | 0.06044 | 0 | 0.087912 | 0.010989 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d69171373efa977663e506a9e0cd4ffbf706ae5a | 2,590 | py | Python | fabfile.py | prezi/snakebasket | 8e2e91ef2c7d034fa45c8005e5217fec333808ee | [
"MIT"
] | 24 | 2015-02-03T00:04:06.000Z | 2021-09-14T06:50:01.000Z | fabfile.py | prezi/snakebasket | 8e2e91ef2c7d034fa45c8005e5217fec333808ee | [
"MIT"
] | 1 | 2021-03-23T10:44:18.000Z | 2021-03-23T15:38:38.000Z | fabfile.py | prezi/snakebasket | 8e2e91ef2c7d034fa45c8005e5217fec333808ee | [
"MIT"
] | 5 | 2015-08-16T11:31:09.000Z | 2021-12-27T13:31:33.000Z | import os.path
from fabric.api import local, env
from fabric.utils import fastprint
from prezi.fabric.s3 import CommonTasks, S3Deploy, NoopServiceManager
env.forward_agent = True
env.user = 'publisher'
env.roledefs = {'production': [], 'stage': [], 'local': []}
class SingleVirtualenvS3Deploy(S3Deploy):
def __in... | 35.479452 | 130 | 0.660232 | 310 | 2,590 | 5.348387 | 0.354839 | 0.072376 | 0.082027 | 0.096502 | 0.08263 | 0.036188 | 0.036188 | 0.036188 | 0 | 0 | 0 | 0.005435 | 0.218533 | 2,590 | 72 | 131 | 35.972222 | 0.813735 | 0.034749 | 0 | 0.037736 | 0 | 0.018868 | 0.214429 | 0.033267 | 0 | 0 | 0 | 0 | 0 | 1 | 0.169811 | false | 0 | 0.075472 | 0.037736 | 0.320755 | 0.075472 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d69196f51793e1153bef57beef63e6af53ecc91a | 706 | py | Python | djstripe/__init__.py | TigerDX/dj-stripe | 2fd4897abaedf2d9faa3dd5af86402dae3ab86a3 | [
"BSD-3-Clause"
] | null | null | null | djstripe/__init__.py | TigerDX/dj-stripe | 2fd4897abaedf2d9faa3dd5af86402dae3ab86a3 | [
"BSD-3-Clause"
] | null | null | null | djstripe/__init__.py | TigerDX/dj-stripe | 2fd4897abaedf2d9faa3dd5af86402dae3ab86a3 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import unicode_literals
import warnings
from django import get_version as get_django_version
__title__ = "dj-stripe"
__summary__ = "Django + Stripe Made Easy"
__uri__ = "https://github.com/pydanny/dj-stripe/"
__version__ = "0.5.0"
__author__ = "Daniel Greenfeld"
__email__ = "pydanny@gmail.com"
__li... | 29.416667 | 81 | 0.723796 | 98 | 706 | 4.744898 | 0.55102 | 0.086022 | 0.068817 | 0.090323 | 0.124731 | 0.124731 | 0 | 0 | 0 | 0 | 0 | 0.028523 | 0.155807 | 706 | 23 | 82 | 30.695652 | 0.751678 | 0 | 0 | 0 | 0 | 0 | 0.498584 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.176471 | 0 | 0.176471 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6946eb298801b23fec7b4b5e6de31aae00f1e3a | 10,283 | py | Python | autolamella/milling.py | Chlanda-Lab/autolamella | ab135eefd56770f326f90747ef4dafebff4e8f71 | [
"MIT"
] | null | null | null | autolamella/milling.py | Chlanda-Lab/autolamella | ab135eefd56770f326f90747ef4dafebff4e8f71 | [
"MIT"
] | null | null | null | autolamella/milling.py | Chlanda-Lab/autolamella | ab135eefd56770f326f90747ef4dafebff4e8f71 | [
"MIT"
] | null | null | null | import logging
import os
import time
import numpy as np
from autolamella.acquire import (
grab_images,
save_reference_images,
save_final_images,
)
from autolamella.align import realign
from autolamella.autoscript import reset_state
def milling(
microscope,
settings,
stage_setting... | 38.950758 | 111 | 0.665565 | 1,148 | 10,283 | 5.684669 | 0.208188 | 0.075697 | 0.033865 | 0.03034 | 0.404382 | 0.366074 | 0.325621 | 0.275054 | 0.227245 | 0.209163 | 0 | 0.004285 | 0.251094 | 10,283 | 263 | 112 | 39.098859 | 0.843137 | 0.134008 | 0 | 0.302885 | 0 | 0 | 0.137509 | 0.051169 | 0 | 0 | 0 | 0.003802 | 0 | 1 | 0.033654 | false | 0 | 0.052885 | 0 | 0.115385 | 0.004808 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6979012b22ac73cacf5e578b3aa216da2c78397 | 2,210 | py | Python | robots/SlowRobot.py | theGitRory/RoboWars | 6121f13e3569c4699a93900a8a6f45301f01a98c | [
"MIT"
] | null | null | null | robots/SlowRobot.py | theGitRory/RoboWars | 6121f13e3569c4699a93900a8a6f45301f01a98c | [
"MIT"
] | null | null | null | robots/SlowRobot.py | theGitRory/RoboWars | 6121f13e3569c4699a93900a8a6f45301f01a98c | [
"MIT"
] | 1 | 2021-12-16T22:49:29.000Z | 2021-12-16T22:49:29.000Z | import pygame
from Robot import Robot
class SlowRobot(Robot):
moveState = -15
shootState = 0
def __init__(self, image, name):
super().__init__(image, name)
self.movingLeft = False
self.movingRight = True
self.movingUp = False
self.movingDown = True
def update(se... | 32.5 | 70 | 0.466516 | 182 | 2,210 | 5.620879 | 0.247253 | 0.117302 | 0.109482 | 0.043011 | 0.351906 | 0.242424 | 0.242424 | 0.242424 | 0.242424 | 0.242424 | 0 | 0.018456 | 0.460633 | 2,210 | 68 | 71 | 32.5 | 0.839765 | 0 | 0 | 0.365385 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038462 | false | 0 | 0.038462 | 0 | 0.134615 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6997f85637504050677de593bfdc5dfb24a288e | 934 | py | Python | istype/__init__.py | Cologler/typing-instancecheck-python | b4dcea88468b1ee43ebb36413b099e3e8508b3ce | [
"MIT"
] | 6 | 2018-07-08T09:38:35.000Z | 2020-06-25T13:15:02.000Z | istype/__init__.py | Cologler/typing-instancecheck-python | b4dcea88468b1ee43ebb36413b099e3e8508b3ce | [
"MIT"
] | 1 | 2018-07-08T10:12:49.000Z | 2018-07-08T11:31:18.000Z | istype/__init__.py | Cologler/istype-python | b4dcea88468b1ee43ebb36413b099e3e8508b3ce | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2017~2999 - cologler <skyoflw@gmail.com>
# ----------
#
# ----------
from typing import Iterable
from itertools import zip_longest
from .internal import TypeMatcher
from .g import isinstanceof, issubclassof
def match(args: (list, tuple), types: Iterable... | 19.87234 | 63 | 0.574946 | 108 | 934 | 4.916667 | 0.601852 | 0.062147 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014925 | 0.282655 | 934 | 46 | 64 | 20.304348 | 0.777612 | 0.260171 | 0 | 0.130435 | 0 | 0 | 0.06135 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0.043478 | 0.173913 | 0 | 0.391304 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d69b51ad69fd05add04bf2431b9d7c7e537e89f6 | 3,669 | py | Python | aetherling/space_time/ram_st.py | David-Durst/aetherling | 91bcf0579608ccbf7d42a7bddf90ccd4257d6571 | [
"MIT"
] | 10 | 2018-04-03T01:51:16.000Z | 2022-02-07T04:27:26.000Z | aetherling/space_time/ram_st.py | David-Durst/aetherling | 91bcf0579608ccbf7d42a7bddf90ccd4257d6571 | [
"MIT"
] | 19 | 2018-05-20T00:43:31.000Z | 2021-03-18T20:36:52.000Z | aetherling/space_time/ram_st.py | David-Durst/aetherling | 91bcf0579608ccbf7d42a7bddf90ccd4257d6571 | [
"MIT"
] | 1 | 2018-07-11T23:36:43.000Z | 2018-07-11T23:36:43.000Z | from aetherling.space_time.space_time_types import *
from aetherling.space_time.nested_counters import *
from aetherling.modules.ram_any_type import *
from aetherling.modules.term_any_type import TermAnyType
from aetherling.modules.mux_any_type import DefineMuxAnyType
from aetherling.modules.map_fully_parallel_sequenti... | 42.662791 | 121 | 0.67021 | 505 | 3,669 | 4.6 | 0.247525 | 0.067155 | 0.106328 | 0.07232 | 0.303487 | 0.238485 | 0.226431 | 0.148945 | 0.095566 | 0.095566 | 0 | 0.001063 | 0.230853 | 3,669 | 85 | 122 | 43.164706 | 0.822112 | 0.131098 | 0 | 0.035714 | 0 | 0 | 0.019802 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.053571 | false | 0 | 0.214286 | 0 | 0.357143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d69d1551c5ade2888af4e328fc5206b21287212d | 1,227 | py | Python | yhteenlasku/Python/rose_images_plus.py | samuntiede/valokuvamatikka | adab47a93534bf0f83f39603a8744bf6e5923da4 | [
"Apache-2.0"
] | null | null | null | yhteenlasku/Python/rose_images_plus.py | samuntiede/valokuvamatikka | adab47a93534bf0f83f39603a8744bf6e5923da4 | [
"Apache-2.0"
] | null | null | null | yhteenlasku/Python/rose_images_plus.py | samuntiede/valokuvamatikka | adab47a93534bf0f83f39603a8744bf6e5923da4 | [
"Apache-2.0"
] | null | null | null | # Process two rose images by summing them together
# FIN Laske kaksi ruusukuvaa yhteen
#
# Samuli Siltanen April 2021
# Python-käännös Ville Tilvis 2021
import numpy as np
import matplotlib.pyplot as plt
# Read in the images
# FIN Lue kuvat levyltä
im1 = plt.imread('../_kuvat/ruusu1.png')
im2 = plt.imread('../_kuvat... | 22.309091 | 55 | 0.727791 | 194 | 1,227 | 4.582474 | 0.515464 | 0.033746 | 0.026997 | 0.031496 | 0.042745 | 0.042745 | 0 | 0 | 0 | 0 | 0 | 0.049242 | 0.139364 | 1,227 | 54 | 56 | 22.722222 | 0.792614 | 0.365118 | 0 | 0 | 0 | 0 | 0.170604 | 0.027559 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.071429 | 0 | 0.071429 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d69d82f810cb6e55ebc41352a4d82679e4b15e3c | 5,712 | py | Python | likebee/core/admin.py | klebercode/likebee | 0a0dd6368ef43b53fb8315eb5eb14663067ef07c | [
"MIT"
] | 1 | 2019-11-05T15:00:51.000Z | 2019-11-05T15:00:51.000Z | likebee/core/admin.py | klebercode/likebee | 0a0dd6368ef43b53fb8315eb5eb14663067ef07c | [
"MIT"
] | null | null | null | likebee/core/admin.py | klebercode/likebee | 0a0dd6368ef43b53fb8315eb5eb14663067ef07c | [
"MIT"
] | null | null | null | from django.contrib import admin
from django.db.models import Q
from django.utils.translation import ugettext_lazy as _
from django.utils.html import format_html
from datetime import date, datetime
from django_summernote.admin import SummernoteModelAdmin
from mptt.admin import MPTTModelAdmin, DraggableMPTTAdmin
from .m... | 31.558011 | 76 | 0.608193 | 624 | 5,712 | 5.363782 | 0.227564 | 0.040335 | 0.025097 | 0.014341 | 0.177771 | 0.153272 | 0.126382 | 0.126382 | 0.126382 | 0.126382 | 0 | 0.006308 | 0.278361 | 5,712 | 180 | 77 | 31.733333 | 0.805677 | 0.019608 | 0 | 0.22069 | 0 | 0 | 0.140075 | 0.011256 | 0 | 0 | 0 | 0 | 0 | 1 | 0.062069 | false | 0 | 0.062069 | 0 | 0.268966 | 0.027586 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d69f54878d575fc34023843ff11b4582ac0a48da | 1,703 | py | Python | shop/coreapp/admin.py | bsperezb/Django-Ecomerce | f061798fd6528997ec7c1874ab0a5bdec03137c6 | [
"MIT"
] | 1 | 2021-09-02T03:48:44.000Z | 2021-09-02T03:48:44.000Z | shop/coreapp/admin.py | bsperezb/Django-Ecomerce | f061798fd6528997ec7c1874ab0a5bdec03137c6 | [
"MIT"
] | null | null | null | shop/coreapp/admin.py | bsperezb/Django-Ecomerce | f061798fd6528997ec7c1874ab0a5bdec03137c6 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Address, Coupon, Item, Order, OrderItem, Payment, Session
def make_refund_accepted(modeladmin, request, queryset):
queryset.update(refund_requested=False, refund_granted=True)
make_refund_accepted.short_description = "Update orders to refound granted"
clas... | 22.706667 | 78 | 0.63946 | 163 | 1,703 | 6.435583 | 0.380368 | 0.060057 | 0.113441 | 0.049571 | 0.171592 | 0.108675 | 0.108675 | 0.108675 | 0 | 0 | 0 | 0 | 0.23899 | 1,703 | 74 | 79 | 23.013514 | 0.809414 | 0 | 0 | 0.428571 | 0 | 0 | 0.259542 | 0.013506 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017857 | false | 0 | 0.035714 | 0 | 0.267857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6a34d6160e9405d0d8eb8de229e4504ff3e1406 | 18,624 | py | Python | slugdetection/Data_Engineering.py | dapolak/acse-9-independent-research-project-dapolak | 5ae2cfa7f63c739d419b1362c4aede451ae83eb1 | [
"MIT"
] | null | null | null | slugdetection/Data_Engineering.py | dapolak/acse-9-independent-research-project-dapolak | 5ae2cfa7f63c739d419b1362c4aede451ae83eb1 | [
"MIT"
] | null | null | null | slugdetection/Data_Engineering.py | dapolak/acse-9-independent-research-project-dapolak | 5ae2cfa7f63c739d419b1362c4aede451ae83eb1 | [
"MIT"
] | 2 | 2019-08-29T16:14:37.000Z | 2019-08-30T08:52:03.000Z | # -*- coding: utf-8 -*-
"""
Part of slugdetection package
@author: Deirdree A Polak
github: dapolak
"""
import numpy as np
import pandas as pd
from datetime import datetime
import matplotlib.pyplot as plt
from pyspark.sql import functions as F
from pyspark.sql.window import Window
class Data_Engineering:
"""
... | 44.342857 | 120 | 0.574152 | 2,452 | 18,624 | 4.26876 | 0.165171 | 0.032674 | 0.039171 | 0.022738 | 0.348524 | 0.289099 | 0.236171 | 0.211713 | 0.195089 | 0.154772 | 0 | 0.012026 | 0.330273 | 18,624 | 419 | 121 | 44.448687 | 0.827147 | 0.381873 | 0 | 0.195531 | 0 | 0 | 0.130135 | 0 | 0 | 0 | 0 | 0 | 0.083799 | 1 | 0.067039 | false | 0 | 0.03352 | 0 | 0.156425 | 0.022346 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6a35d2bfc2590a217cfcb8cbdd8bde2a6488383 | 2,632 | py | Python | vietocr/predict.py | anhtv26062000/vietocr | b14a7d14cc37a969f73b27b2946b8680672c0fe5 | [
"Apache-2.0"
] | null | null | null | vietocr/predict.py | anhtv26062000/vietocr | b14a7d14cc37a969f73b27b2946b8680672c0fe5 | [
"Apache-2.0"
] | null | null | null | vietocr/predict.py | anhtv26062000/vietocr | b14a7d14cc37a969f73b27b2946b8680672c0fe5 | [
"Apache-2.0"
] | null | null | null | import os
import time
import yaml
import argparse
from PIL import Image
import matplotlib.pyplot as plt
from vietocr.tool.predictor import Predictor
from vietocr.tool.config import Cfg
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--img", required=True, help="foo help")
parser.add_a... | 34.631579 | 111 | 0.665274 | 387 | 2,632 | 4.426357 | 0.609819 | 0.024518 | 0.014011 | 0.022183 | 0.154116 | 0.127262 | 0.101576 | 0.072388 | 0.072388 | 0.072388 | 0 | 0.128345 | 0.162234 | 2,632 | 75 | 112 | 35.093333 | 0.648526 | 0.197948 | 0 | 0 | 0 | 0 | 0.035305 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022222 | false | 0 | 0.177778 | 0 | 0.2 | 0.066667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6a7a396afccca6f90d97a49c348647708bf30b9 | 9,790 | py | Python | MultiAtlasSegmenter/MultiAtlasSegmentation/EvaluateSegmentation.py | mabelzunce/MuscleSegmentation | 390737ca1853e3c142a4fb7e186bc8b33bc4ade4 | [
"MIT"
] | null | null | null | MultiAtlasSegmenter/MultiAtlasSegmentation/EvaluateSegmentation.py | mabelzunce/MuscleSegmentation | 390737ca1853e3c142a4fb7e186bc8b33bc4ade4 | [
"MIT"
] | null | null | null | MultiAtlasSegmenter/MultiAtlasSegmentation/EvaluateSegmentation.py | mabelzunce/MuscleSegmentation | 390737ca1853e3c142a4fb7e186bc8b33bc4ade4 | [
"MIT"
] | null | null | null | #! python3
# Multi-atlas segmentation scheme trying to give a platform to do tests before translating them to the plugin.
from __future__ import print_function
from GetMetricFromElastixRegistration import GetFinalMetricFromElastixLogFile
from MultiAtlasSegmentation import MultiAtlasSegmentation
from ApplyBiasCorrection... | 60.432099 | 229 | 0.81236 | 1,188 | 9,790 | 6.464646 | 0.223064 | 0.078125 | 0.033203 | 0.023438 | 0.41862 | 0.29974 | 0.230339 | 0.219141 | 0.214063 | 0.214063 | 0 | 0.017984 | 0.091216 | 9,790 | 162 | 230 | 60.432099 | 0.845229 | 0.331869 | 0 | 0.044944 | 0 | 0.044944 | 0.124904 | 0.027448 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.146067 | 0 | 0.146067 | 0.044944 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6a8326296ab6af0cd67cc06c386c30e1cff6c27 | 1,591 | py | Python | jes/jes-v5.020-linux/jes/python/jes/gui/dialogs/intro.py | utv-teaching/foundations-computer-science | 568e19fd83a3355dab2814229f335abf31bfd7e9 | [
"MIT"
] | null | null | null | jes/jes-v5.020-linux/jes/python/jes/gui/dialogs/intro.py | utv-teaching/foundations-computer-science | 568e19fd83a3355dab2814229f335abf31bfd7e9 | [
"MIT"
] | null | null | null | jes/jes-v5.020-linux/jes/python/jes/gui/dialogs/intro.py | utv-teaching/foundations-computer-science | 568e19fd83a3355dab2814229f335abf31bfd7e9 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
jes.gui.dialogs.intro
=====================
The "intro" dialog, which displays the JESIntroduction.txt file.
:copyright: (C) 2014 Matthew Frazier and Mark Guzdial
:license: GNU GPL v2 or later, see jes/help/JESCopyright.txt for details
"""
from __future__ import with_statement
import JES... | 28.927273 | 74 | 0.672533 | 182 | 1,591 | 5.785714 | 0.593407 | 0.011396 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018548 | 0.220616 | 1,591 | 54 | 75 | 29.462963 | 0.830645 | 0.236329 | 0 | 0 | 0 | 0 | 0.054908 | 0.019967 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068966 | false | 0 | 0.241379 | 0 | 0.448276 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6ac72939accd121f9983c21fee472c5729238d1 | 899 | py | Python | 36-valid-sudoku/36-valid-sudoku.py | MayaScarlet/leetcode-python | 8ef0c5cadf2e975957085c0ef84a8c3d90a64b6a | [
"MIT"
] | null | null | null | 36-valid-sudoku/36-valid-sudoku.py | MayaScarlet/leetcode-python | 8ef0c5cadf2e975957085c0ef84a8c3d90a64b6a | [
"MIT"
] | null | null | null | 36-valid-sudoku/36-valid-sudoku.py | MayaScarlet/leetcode-python | 8ef0c5cadf2e975957085c0ef84a8c3d90a64b6a | [
"MIT"
] | null | null | null | import collections
class Solution:
def isValidSudoku(self, board: List[List[str]]) -> bool:
cols = collections.defaultdict(set)
rows = collections.defaultdict(set)
grid = collections.defaultdict(set)
for r in range(len(board)):
for c in range(len(board)... | 34.576923 | 103 | 0.463849 | 111 | 899 | 3.756757 | 0.387387 | 0.100719 | 0.117506 | 0.064748 | 0.091127 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007634 | 0.41713 | 899 | 26 | 104 | 34.576923 | 0.788168 | 0.115684 | 0 | 0 | 0 | 0 | 0.001261 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.0625 | 0 | 0.3125 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6b10c402152179bd5b2001946c3c77a518e7627 | 9,375 | py | Python | Crop Predictions With GUI.py | KRITGYA2001/Crop-Prediction-Model | 81c2f0701c89ae6ed1f3b8ae48252c94670ee413 | [
"Apache-2.0"
] | null | null | null | Crop Predictions With GUI.py | KRITGYA2001/Crop-Prediction-Model | 81c2f0701c89ae6ed1f3b8ae48252c94670ee413 | [
"Apache-2.0"
] | null | null | null | Crop Predictions With GUI.py | KRITGYA2001/Crop-Prediction-Model | 81c2f0701c89ae6ed1f3b8ae48252c94670ee413 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import numpy as np
import pandas as pd
import seaborn as sns
get_ipython().run_line_magic('matplotlib', 'inline')
import matplotlib.pyplot as plt
# In[2]:
from sklearn.preprocessing import LabelEncoder
from sklearn.metrics import classification_report
from sklearn.m... | 22.865854 | 154 | 0.68192 | 1,414 | 9,375 | 4.428571 | 0.219236 | 0.017247 | 0.012456 | 0.022996 | 0.4481 | 0.423028 | 0.359949 | 0.296072 | 0.24992 | 0.216864 | 0 | 0.043593 | 0.14848 | 9,375 | 409 | 155 | 22.92176 | 0.740824 | 0.11552 | 0 | 0.103226 | 0 | 0 | 0.172422 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025806 | false | 0 | 0.154839 | 0 | 0.180645 | 0.077419 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6b123a5d8064301b36365941fb80c50a959742e | 3,950 | py | Python | alipay/aop/api/domain/ZhimaCreditOrderRepaymentApplyModel.py | articuly/alipay-sdk-python-all | 0259cd28eca0f219b97dac7f41c2458441d5e7a6 | [
"Apache-2.0"
] | null | null | null | alipay/aop/api/domain/ZhimaCreditOrderRepaymentApplyModel.py | articuly/alipay-sdk-python-all | 0259cd28eca0f219b97dac7f41c2458441d5e7a6 | [
"Apache-2.0"
] | null | null | null | alipay/aop/api/domain/ZhimaCreditOrderRepaymentApplyModel.py | articuly/alipay-sdk-python-all | 0259cd28eca0f219b97dac7f41c2458441d5e7a6 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import simplejson as json
from alipay.aop.api.constant.ParamConstants import *
class ZhimaCreditOrderRepaymentApplyModel(object):
def __init__(self):
self._action_type = None
self._category = None
self._order_info = None
self._out_ord... | 30.152672 | 75 | 0.591899 | 496 | 3,950 | 4.387097 | 0.102823 | 0.073529 | 0.068934 | 0.045037 | 0.32261 | 0.264706 | 0.045037 | 0.027574 | 0 | 0 | 0 | 0.000368 | 0.311392 | 3,950 | 130 | 76 | 30.384615 | 0.799632 | 0.010633 | 0 | 0.126126 | 0 | 0 | 0.097848 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153153 | false | 0 | 0.018018 | 0.063063 | 0.27027 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6b2ed2144802e9da93811adc368ed32fd611400 | 1,503 | py | Python | chconsole/storage/json_storage.py | mincode/chconsole | ab8ca8a38bd47ecb1aa7ff90225f57e042aaad6e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | chconsole/storage/json_storage.py | mincode/chconsole | ab8ca8a38bd47ecb1aa7ff90225f57e042aaad6e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | chconsole/storage/json_storage.py | mincode/chconsole | ab8ca8a38bd47ecb1aa7ff90225f57e042aaad6e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | import os, json
__author__ = 'Manfred Minimair <manfred@minimair.org>'
class JSONStorage:
"""
File storage for a dictionary.
"""
file = '' # file name of storage file
data = None # data dict
indent = ' ' # indent prefix for pretty printing json files
def __init__(self, path, name):
... | 28.358491 | 80 | 0.558217 | 190 | 1,503 | 4.347368 | 0.363158 | 0.048426 | 0.033898 | 0.038741 | 0.065375 | 0.065375 | 0.065375 | 0 | 0 | 0 | 0 | 0 | 0.337991 | 1,503 | 52 | 81 | 28.903846 | 0.830151 | 0.348636 | 0 | 0.083333 | 0 | 0 | 0.051157 | 0.026797 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.041667 | 0 | 0.416667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6b3ca6a1ac3ed90a5486b776195623690a10478 | 2,219 | py | Python | Trabalho_02/Trabalho/ELM_Q01.py | gabriel-rc-201/Trabalhos-Inteligencia-Computacional | c334f2fd66a31bacab0470b390782ce38dc2a100 | [
"MIT"
] | 1 | 2021-07-09T19:32:16.000Z | 2021-07-09T19:32:16.000Z | Trabalho_02/Trabalho/ELM_Q01.py | gabriel-rc-201/Trabalhos-Inteligencia-Computacional | c334f2fd66a31bacab0470b390782ce38dc2a100 | [
"MIT"
] | null | null | null | Trabalho_02/Trabalho/ELM_Q01.py | gabriel-rc-201/Trabalhos-Inteligencia-Computacional | c334f2fd66a31bacab0470b390782ce38dc2a100 | [
"MIT"
] | null | null | null |
#!-*- conding: utf8 -*-
#coding: utf-8
"""
Aluno: Gabriel Ribeiro Camelo
Matricula: 401091
"""
import matplotlib.pyplot as pplt # gráficos
import math # Matemática
import re # expressões regulares
import numpy as np # matrizes
from statistics import p... | 24.384615 | 75 | 0.633168 | 344 | 2,219 | 4.078488 | 0.456395 | 0.009979 | 0.015681 | 0.01283 | 0.081967 | 0.034212 | 0 | 0 | 0 | 0 | 0 | 0.017741 | 0.237945 | 2,219 | 90 | 76 | 24.655556 | 0.811946 | 0.343398 | 0 | 0 | 0 | 0 | 0.038325 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.042553 | false | 0 | 0.12766 | 0 | 0.212766 | 0.021277 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6b7e37b488f062925a4fc8dd11c3dc8a00b2e5d | 4,424 | py | Python | tools/weixin.py | GingerWWW/news_spider | 51e1437cf9a58071cc5bd2c12f854ae84f96a5d5 | [
"MIT"
] | 208 | 2018-02-11T01:58:08.000Z | 2022-03-28T07:15:12.000Z | tools/weixin.py | DeteMin/news_spider | 9e29525a8bcb2310fca3bb4f9ca4b99b39ecfc9c | [
"MIT"
] | 19 | 2018-04-17T11:03:28.000Z | 2022-03-17T00:02:20.000Z | tools/weixin.py | DeteMin/news_spider | 9e29525a8bcb2310fca3bb4f9ca4b99b39ecfc9c | [
"MIT"
] | 44 | 2018-02-26T09:47:41.000Z | 2022-03-22T13:34:27.000Z | #!/usr/bin/env python
# encoding: utf-8
"""
@author: zhanghe
@software: PyCharm
@file: weixin.py
@time: 2018-02-10 17:55
"""
import re
import time
import hashlib
# from urlparse import urljoin # PY2
# from urllib.parse import urljoin # PY3
from future.moves.urllib.parse import urljoin
... | 30.937063 | 141 | 0.614828 | 615 | 4,424 | 4.092683 | 0.253659 | 0.038141 | 0.023838 | 0.033373 | 0.265793 | 0.232817 | 0.176798 | 0.176798 | 0.176798 | 0.162892 | 0 | 0.00729 | 0.255877 | 4,424 | 142 | 142 | 31.15493 | 0.75729 | 0.117089 | 0 | 0.116279 | 0 | 0.011628 | 0.167411 | 0.034954 | 0 | 0 | 0 | 0 | 0 | 1 | 0.104651 | false | 0 | 0.127907 | 0 | 0.348837 | 0.034884 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6ca0b78e18a4bf98def2fc3af39ef75294bf852 | 14,129 | py | Python | tweezers/io/TxtMpiSource.py | DollSimon/tweezers | 7c9b3d781c53f7728526a8242aa9e1d671f15688 | [
"BSD-2-Clause"
] | null | null | null | tweezers/io/TxtMpiSource.py | DollSimon/tweezers | 7c9b3d781c53f7728526a8242aa9e1d671f15688 | [
"BSD-2-Clause"
] | null | null | null | tweezers/io/TxtMpiSource.py | DollSimon/tweezers | 7c9b3d781c53f7728526a8242aa9e1d671f15688 | [
"BSD-2-Clause"
] | null | null | null | from pathlib import Path
import json
import re
import numpy as np
import os
from collections import OrderedDict
from .TxtMpiFile import TxtMpiFile
from .BaseSource import BaseSource
from tweezers.meta import MetaDict, UnitDict
class TxtMpiSource(BaseSource):
"""
Data source for \*.txt files from the MPI with... | 32.038549 | 119 | 0.55793 | 1,608 | 14,129 | 4.890547 | 0.246269 | 0.019837 | 0.025432 | 0.018311 | 0.212233 | 0.195956 | 0.160478 | 0.151322 | 0.127416 | 0.116734 | 0 | 0.003633 | 0.337674 | 14,129 | 440 | 120 | 32.111364 | 0.836717 | 0.386439 | 0 | 0.214286 | 0 | 0.005495 | 0.091051 | 0.015175 | 0 | 0 | 0 | 0 | 0 | 1 | 0.087912 | false | 0.021978 | 0.049451 | 0 | 0.241758 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6ca4d4ba42af57fc033e9368f2ae8ef9b4d183f | 6,482 | py | Python | shexter_client/shexterd.py | tetchel/shexter-client | b1db3ac072fc9a53403a15b1f41188e0a09220f4 | [
"MIT"
] | 3 | 2017-12-18T06:37:50.000Z | 2018-02-23T08:31:25.000Z | shexter_client/shexterd.py | tetchel/shexter-client | b1db3ac072fc9a53403a15b1f41188e0a09220f4 | [
"MIT"
] | null | null | null | shexter_client/shexterd.py | tetchel/shexter-client | b1db3ac072fc9a53403a15b1f41188e0a09220f4 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from threading import Thread
from time import sleep
import logging
import shexter.requester
import shexter.platform as platform
import shexter.config
"""
This file is for the shexter daemon, which runs persistantly. Every 5 seconds, it polls the phone to see if there are
unread messages. If t... | 32.248756 | 149 | 0.631749 | 805 | 6,482 | 4.959006 | 0.300621 | 0.039078 | 0.04008 | 0.0501 | 0.102455 | 0.082415 | 0.046343 | 0.035321 | 0.035321 | 0.035321 | 0 | 0.009705 | 0.268744 | 6,482 | 200 | 150 | 32.41 | 0.832489 | 0.149954 | 0 | 0.106195 | 0 | 0.00885 | 0.161117 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.079646 | false | 0 | 0.079646 | 0 | 0.19469 | 0.123894 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6caa6b944d454c9401a57591872b8b05ba06ad2 | 7,218 | py | Python | info_epd/mixins/salah.py | ibnadam/info_epd | 3838cc30187dc10fd2c79fba2d51357d3dbbf47a | [
"MIT"
] | null | null | null | info_epd/mixins/salah.py | ibnadam/info_epd | 3838cc30187dc10fd2c79fba2d51357d3dbbf47a | [
"MIT"
] | null | null | null | info_epd/mixins/salah.py | ibnadam/info_epd | 3838cc30187dc10fd2c79fba2d51357d3dbbf47a | [
"MIT"
] | null | null | null | import sys
import os
import logging
import time
import datetime
from PIL import (
Image,
ImageDraw,
ImageFont
)
from config import *
from util import *
from info_epd import praytimes
DEBUG_PRAYTIMES = False
class SalahMixin:
"""Uses praytimes library for calculating prayer times.
Make sure s... | 34.371429 | 87 | 0.541563 | 876 | 7,218 | 4.27968 | 0.221461 | 0.040011 | 0.044812 | 0.067485 | 0.150173 | 0.081889 | 0.016538 | 0.016538 | 0.016538 | 0 | 0 | 0.013944 | 0.334303 | 7,218 | 209 | 88 | 34.535885 | 0.766285 | 0.077445 | 0 | 0.063291 | 0 | 0 | 0.104866 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.050633 | false | 0 | 0.056962 | 0.006329 | 0.139241 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6d00e0815efbd0fa8cd9dea45c88de5c7194783 | 2,689 | py | Python | src/web/sistema/templatetags/number_to_text.py | fossabot/SIStema | 1427dda2082688a9482c117d0e24ad380fdc26a6 | [
"MIT"
] | 5 | 2018-03-08T17:22:27.000Z | 2018-03-11T14:20:53.000Z | src/web/sistema/templatetags/number_to_text.py | fossabot/SIStema | 1427dda2082688a9482c117d0e24ad380fdc26a6 | [
"MIT"
] | 263 | 2018-03-08T18:05:12.000Z | 2022-03-11T23:26:20.000Z | src/web/sistema/templatetags/number_to_text.py | fossabot/SIStema | 1427dda2082688a9482c117d0e24ad380fdc26a6 | [
"MIT"
] | 6 | 2018-03-12T19:48:19.000Z | 2022-01-14T04:58:52.000Z | from django.template import Library
register = Library()
hundreds = [
'',
'сто',
'двести',
'триста',
'четыреста',
'пятьсот',
'шестьсот',
'семьсот',
'восемьсот',
'девятьсот'
]
first_decade = [
'',
('одна', 'один'),
('две', 'два'),
'три',
'четыре',
'пять... | 22.040984 | 92 | 0.564522 | 300 | 2,689 | 4.923333 | 0.39 | 0.067705 | 0.035207 | 0.046039 | 0.249831 | 0.13541 | 0.098849 | 0.098849 | 0.098849 | 0.098849 | 0 | 0.041907 | 0.290071 | 2,689 | 121 | 93 | 22.223141 | 0.731797 | 0.014875 | 0 | 0.09 | 0 | 0 | 0.128458 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03 | false | 0.01 | 0.01 | 0 | 0.11 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6d5022d562b8e05c89e7d039fdd54b153bdd856 | 10,444 | py | Python | resdk/tests/unit/test_utils.py | tristanbrown/resolwe-bio-py | c911defde8a5e7e902ad1adf4f9e480f17002c18 | [
"Apache-2.0"
] | null | null | null | resdk/tests/unit/test_utils.py | tristanbrown/resolwe-bio-py | c911defde8a5e7e902ad1adf4f9e480f17002c18 | [
"Apache-2.0"
] | null | null | null | resdk/tests/unit/test_utils.py | tristanbrown/resolwe-bio-py | c911defde8a5e7e902ad1adf4f9e480f17002c18 | [
"Apache-2.0"
] | null | null | null | """
Unit tests for resdk/resources/utils.py file.
"""
# pylint: disable=missing-docstring, protected-access
import unittest
import six
from mock import MagicMock, call, patch
from resdk.resources import Collection, Data, Process, Relation, Sample
from resdk.resources.utils import (
_print_input_line, endswith_co... | 37.035461 | 95 | 0.567503 | 1,156 | 10,444 | 4.957612 | 0.128028 | 0.075903 | 0.069098 | 0.062991 | 0.555749 | 0.440586 | 0.362938 | 0.282673 | 0.238527 | 0.238527 | 0 | 0.021751 | 0.278054 | 10,444 | 281 | 96 | 37.16726 | 0.738329 | 0.065588 | 0 | 0.234742 | 0 | 0 | 0.162034 | 0.010294 | 0 | 0 | 0 | 0 | 0.15493 | 1 | 0.070423 | false | 0 | 0.023474 | 0 | 0.098592 | 0.023474 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6d7581ab54e0bc20bcf26b8c40b0005e45bc25c | 1,136 | py | Python | pa1-skeleton/submission/parse_block.py | yzhong94/cs276-spring-2019 | a4780a9f88b8c535146040fe11bb513c91c5693b | [
"MIT"
] | null | null | null | pa1-skeleton/submission/parse_block.py | yzhong94/cs276-spring-2019 | a4780a9f88b8c535146040fe11bb513c91c5693b | [
"MIT"
] | null | null | null | pa1-skeleton/submission/parse_block.py | yzhong94/cs276-spring-2019 | a4780a9f88b8c535146040fe11bb513c91c5693b | [
"MIT"
] | null | null | null | class BSBIIndex(BSBIIndex):
def parse_block(self, block_dir_relative):
"""Parses a tokenized text file into termID-docID pairs
Parameters
----------
block_dir_relative : str
Relative Path to the directory that contains the files for the block
... | 39.172414 | 120 | 0.564261 | 140 | 1,136 | 4.321429 | 0.521429 | 0.052893 | 0.105785 | 0.042975 | 0.089256 | 0.089256 | 0 | 0 | 0 | 0 | 0 | 0.001337 | 0.341549 | 1,136 | 28 | 121 | 40.571429 | 0.807487 | 0.365317 | 0 | 0 | 0 | 0 | 0.023451 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0 | 0 | 0.3 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6dd795a3bd40d81aa9b1e2a17911949cba95e34 | 14,321 | py | Python | inventory/nova.py | forgeservicelab/ansible.account-cleanup | 14a855f57c5d06c1114f18f561199f9a1534f707 | [
"MIT"
] | null | null | null | inventory/nova.py | forgeservicelab/ansible.account-cleanup | 14a855f57c5d06c1114f18f561199f9a1534f707 | [
"MIT"
] | null | null | null | inventory/nova.py | forgeservicelab/ansible.account-cleanup | 14a855f57c5d06c1114f18f561199f9a1534f707 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# (c) 2012, Marco Vito Moscaritolo <marco@agavee.com>
# modified by Tomas Karasek <tomas.karasek@digile.fi>
#
# This file is part of Ansible,
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free S... | 33.46028 | 79 | 0.649047 | 1,994 | 14,321 | 4.521063 | 0.245236 | 0.019967 | 0.009318 | 0.009318 | 0.130006 | 0.086744 | 0.050804 | 0.033943 | 0.026179 | 0.016639 | 0 | 0.007915 | 0.241254 | 14,321 | 427 | 80 | 33.538642 | 0.821738 | 0.407863 | 0 | 0.061611 | 0 | 0 | 0.126424 | 0.002695 | 0 | 0 | 0 | 0.002342 | 0 | 1 | 0.085308 | false | 0.009479 | 0.066351 | 0 | 0.265403 | 0.009479 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6de6584aa755891b400cead530c2e7d4744bf03 | 7,003 | py | Python | mltc/evaluator.py | BonnierNews/lukas-ner-model | 1f7f688f9b0f1e7b7cb66c42f188358d27a0be09 | [
"MIT"
] | null | null | null | mltc/evaluator.py | BonnierNews/lukas-ner-model | 1f7f688f9b0f1e7b7cb66c42f188358d27a0be09 | [
"MIT"
] | null | null | null | mltc/evaluator.py | BonnierNews/lukas-ner-model | 1f7f688f9b0f1e7b7cb66c42f188358d27a0be09 | [
"MIT"
] | null | null | null | from datetime import date
import numpy as np
from sklearn.metrics import (
roc_curve,
auc,
)
import torch
from torch.utils.data import DataLoader
from .metrics import accuracy_thresh, fbeta, pairwise_confusion_matrix
import pandas as pd
from tqdm import tqdm
class ModelEvaluator:
"""Class for evaluati... | 34.497537 | 87 | 0.565472 | 821 | 7,003 | 4.585871 | 0.228989 | 0.033466 | 0.01753 | 0.022311 | 0.308632 | 0.244622 | 0.214343 | 0.127224 | 0.127224 | 0.115803 | 0 | 0.005798 | 0.334999 | 7,003 | 202 | 88 | 34.668317 | 0.802663 | 0.109096 | 0 | 0.136986 | 0 | 0 | 0.057129 | 0.006185 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034247 | false | 0 | 0.054795 | 0 | 0.109589 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6df220a36694618699e66a95c74ab11a133b077 | 7,381 | py | Python | synapse/lib/datapath.py | larrycameron80/synapse | 24bf21c40b4a467e5dc28c8204aecaf502d5cddf | [
"Apache-2.0"
] | null | null | null | synapse/lib/datapath.py | larrycameron80/synapse | 24bf21c40b4a467e5dc28c8204aecaf502d5cddf | [
"Apache-2.0"
] | null | null | null | synapse/lib/datapath.py | larrycameron80/synapse | 24bf21c40b4a467e5dc28c8204aecaf502d5cddf | [
"Apache-2.0"
] | null | null | null | import collections
import xml.etree.ElementTree as x_etree
import synapse.common as s_common
import synapse.lib.syntax as s_syntax
class DataElem:
def __init__(self, item, name=None, parent=None):
self._d_name = name
self._d_item = item
self._d_parent = parent
self._d_special = ... | 25.898246 | 75 | 0.520661 | 873 | 7,381 | 4.272623 | 0.200458 | 0.02815 | 0.041019 | 0.028954 | 0.407775 | 0.32252 | 0.276676 | 0.237802 | 0.237802 | 0.183914 | 0 | 0.003063 | 0.380843 | 7,381 | 284 | 76 | 25.989437 | 0.813129 | 0.22585 | 0 | 0.402685 | 0 | 0 | 0.001458 | 0 | 0 | 0 | 0 | 0.003521 | 0 | 1 | 0.127517 | false | 0 | 0.026846 | 0.020134 | 0.308725 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6e3ab9d5ea800c6d75075d9a0c1f51418a5e6e8 | 1,851 | py | Python | addon/blenderAddon/test.py | kazulagi/plantFEM | 20bf2df8202d41aa5dc25d1cc820385dabbc604f | [
"MIT"
] | 21 | 2020-06-21T08:21:44.000Z | 2022-01-13T04:28:30.000Z | addon/blenderAddon/test.py | kazulagi/plantFEM_binary | 32acf059a6d778307211718c2a512ff796b81c52 | [
"MIT"
] | 5 | 2021-05-08T05:20:06.000Z | 2022-03-25T05:39:29.000Z | addon/blenderAddon/test.py | kazulagi/plantFEM_binary | 32acf059a6d778307211718c2a512ff796b81c52 | [
"MIT"
] | 4 | 2020-10-20T18:28:59.000Z | 2021-12-15T08:35:25.000Z |
bl_info = {
"name": "plantFEM (Seed)",
"author": "Haruka Tomobe",
"version": (1, 0),
"blender": (2, 80, 0),
"location": "View3D > Add > Mesh > plantFEM Object",
"description": "Adds a new plantFEM Object",
"warning": "",
"wiki_url": "",
"category": "Add Mesh",
}
import bpy
from bp... | 26.070423 | 68 | 0.670989 | 222 | 1,851 | 5.342342 | 0.364865 | 0.05059 | 0.063238 | 0.030354 | 0.298482 | 0.251265 | 0.177066 | 0.177066 | 0.102867 | 0.102867 | 0 | 0.0171 | 0.210157 | 1,851 | 70 | 69 | 26.442857 | 0.794118 | 0 | 0 | 0.148148 | 0 | 0 | 0.22 | 0.062162 | 0 | 0 | 0 | 0 | 0 | 1 | 0.092593 | false | 0 | 0.092593 | 0 | 0.388889 | 0.074074 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6e6226b3673f32b61f24bf4e754297739bd3b2c | 1,295 | py | Python | gui1.py | aseemk11/Attendance-system-using-Face-recognization- | b7ca08a868c8b41d776eaa8e0c6ada7ab23df040 | [
"Apache-2.0"
] | null | null | null | gui1.py | aseemk11/Attendance-system-using-Face-recognization- | b7ca08a868c8b41d776eaa8e0c6ada7ab23df040 | [
"Apache-2.0"
] | null | null | null | gui1.py | aseemk11/Attendance-system-using-Face-recognization- | b7ca08a868c8b41d776eaa8e0c6ada7ab23df040 | [
"Apache-2.0"
] | null | null | null | from tkinter import *
import os
main = Tk()
main.geometry('{}x{}'.format(550, 550))
main.wm_title("Welcome to Face Recognition Based Attendence System ")
svalue3= StringVar() # defines the widget state as string
svalue2 = StringVar()
#imagePath = PhotoImage(file="facerec.png")
#widgetf = Label(main, image=imagePath).... | 26.428571 | 115 | 0.713514 | 185 | 1,295 | 4.902703 | 0.502703 | 0.039691 | 0.062845 | 0.041896 | 0.13892 | 0.085998 | 0.085998 | 0.085998 | 0.085998 | 0.085998 | 0 | 0.04375 | 0.135135 | 1,295 | 48 | 116 | 26.979167 | 0.766071 | 0.197683 | 0 | 0 | 0 | 0 | 0.178295 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068966 | false | 0 | 0.068966 | 0 | 0.137931 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6e750c2e34d4d5c52e114e9bd8b810a1a5e2430 | 2,586 | py | Python | src/tiden/apps/zookeeper/zookeeper_utils.py | mshonichev/example_pkg | 556a703fe8ea4a7737b8cae9c5d4d19c1397a70b | [
"Apache-2.0"
] | 14 | 2020-06-05T09:30:42.000Z | 2022-01-19T00:26:48.000Z | src/tiden/apps/zookeeper/zookeeper_utils.py | mshonichev/example_pkg | 556a703fe8ea4a7737b8cae9c5d4d19c1397a70b | [
"Apache-2.0"
] | 6 | 2020-06-09T14:05:21.000Z | 2021-03-18T13:55:15.000Z | src/tiden/apps/zookeeper/zookeeper_utils.py | mshonichev/example_pkg | 556a703fe8ea4a7737b8cae9c5d4d19c1397a70b | [
"Apache-2.0"
] | 1 | 2020-06-09T13:53:15.000Z | 2020-06-09T13:53:15.000Z | #!/usr/bin/env python3
#
# Copyright 2017-2020 GridGain Systems.
#
# 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 applicab... | 34.026316 | 82 | 0.656999 | 351 | 2,586 | 4.635328 | 0.407407 | 0.043024 | 0.055317 | 0.019668 | 0.13153 | 0.08236 | 0.041795 | 0.041795 | 0.041795 | 0 | 0 | 0.008155 | 0.241299 | 2,586 | 75 | 83 | 34.48 | 0.821101 | 0.29041 | 0 | 0 | 0 | 0 | 0.119074 | 0.027563 | 0 | 0 | 0 | 0 | 0 | 1 | 0.170732 | false | 0 | 0.073171 | 0 | 0.292683 | 0.146341 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6e87832836db722cb4f55a3e89485349b743a75 | 859 | py | Python | LaneTracking-master/main.py | cmflannery/openvision | 884ae95325dba1db0d428179796efe03964d5f5b | [
"MIT"
] | null | null | null | LaneTracking-master/main.py | cmflannery/openvision | 884ae95325dba1db0d428179796efe03964d5f5b | [
"MIT"
] | null | null | null | LaneTracking-master/main.py | cmflannery/openvision | 884ae95325dba1db0d428179796efe03964d5f5b | [
"MIT"
] | null | null | null | from __future__ import division
import cv2
import track
import detect
def main(video_path):
cap = cv2.VideoCapture(video_path)
ticks = 0
lt = track.LaneTracker(2, 0.1, 500)
ld = detect.LaneDetector(180)
while cap.isOpened():
precTick = ticks
ticks = cv2.getTickCount()
d... | 23.861111 | 115 | 0.571595 | 114 | 859 | 4.254386 | 0.438596 | 0.082474 | 0.049485 | 0.086598 | 0.028866 | 0 | 0 | 0 | 0 | 0 | 0 | 0.076555 | 0.270081 | 859 | 35 | 116 | 24.542857 | 0.69697 | 0 | 0 | 0 | 0 | 0 | 0.001164 | 0 | 0 | 0 | 0.004657 | 0 | 0 | 1 | 0.043478 | false | 0 | 0.173913 | 0 | 0.217391 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6e8a2cccf8950f95f736755d08af27a34195960 | 368 | py | Python | app_server/config.py | brdavs/faker-trader | 6681bb65bab6d024e2f9dffec62a7decf64c76cd | [
"MIT"
] | null | null | null | app_server/config.py | brdavs/faker-trader | 6681bb65bab6d024e2f9dffec62a7decf64c76cd | [
"MIT"
] | null | null | null | app_server/config.py | brdavs/faker-trader | 6681bb65bab6d024e2f9dffec62a7decf64c76cd | [
"MIT"
] | null | null | null | SEECRET = 'Extremely secretive seecret. You could not guess this one if your life depended on it.'
DATABASE = 'db/data.db'
DATABASE_PRICES = 'db/prices.db'
SESSION_TTL = 240
WEBSOCKETS_PORT= 7334
WEBSOCKETS_URI = 'ws://localhost:' + str(WEBSOCKETS_PORT)
DEFAULT_LEDGER = {
'value': 10000,
'asset_id': 1
}
DEFAU... | 24.533333 | 98 | 0.73913 | 53 | 368 | 4.924528 | 0.811321 | 0.061303 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.061093 | 0.154891 | 368 | 15 | 99 | 24.533333 | 0.778135 | 0 | 0 | 0 | 0 | 0 | 0.368564 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6ec2af6465219bbbd1c415984736e30d5b7e368 | 2,160 | py | Python | flarmfuncs.py | acasadoalonso/RealTimeScoring | 843fd151a9a963851f79549b8c9117ac37779578 | [
"MIT"
] | null | null | null | flarmfuncs.py | acasadoalonso/RealTimeScoring | 843fd151a9a963851f79549b8c9117ac37779578 | [
"MIT"
] | null | null | null | flarmfuncs.py | acasadoalonso/RealTimeScoring | 843fd151a9a963851f79549b8c9117ac37779578 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import MySQLdb
from ognddbfuncs import getognchk
unkglider = []
def getflarmid(conn, registration): # get the FLARMID from the GLIDERS table on the database
cursG = conn.cursor() # set the cursor for searching the devices
try:
cursG.execute("select idglider, flarmtype from... | 44.081633 | 121 | 0.572685 | 246 | 2,160 | 5.028455 | 0.373984 | 0.016168 | 0.036378 | 0.043654 | 0.315279 | 0.315279 | 0.315279 | 0.315279 | 0.21342 | 0.21342 | 0 | 0.00507 | 0.269444 | 2,160 | 48 | 122 | 45 | 0.778834 | 0.28287 | 0 | 0.243902 | 0 | 0 | 0.189295 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04878 | false | 0 | 0.04878 | 0 | 0.170732 | 0.146341 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6ec4b20c2057ab10ad8e413862f2137de3b2c8f | 1,916 | py | Python | sf2_webapp/__main__.py | EdinburghGenomics/sf2-webapp | 7deab0a6513f8586646e16edacbc19bcfc3b18ad | [
"MIT"
] | null | null | null | sf2_webapp/__main__.py | EdinburghGenomics/sf2-webapp | 7deab0a6513f8586646e16edacbc19bcfc3b18ad | [
"MIT"
] | null | null | null | sf2_webapp/__main__.py | EdinburghGenomics/sf2-webapp | 7deab0a6513f8586646e16edacbc19bcfc3b18ad | [
"MIT"
] | null | null | null | """Edinburgh Genomics Online SF2 web application.
examples:
To start the tornado server:
$ start_sf2_webapp
More information is available at:
- http://gitlab.genepool.private/hdunnda/sf2-webapp
"""
__version__="0.0.1"
import os
import tornado.options
from tornado.options import define, options
import sf2... | 34.214286 | 166 | 0.740605 | 252 | 1,916 | 5.507937 | 0.305556 | 0.097983 | 0.043228 | 0.054755 | 0.233429 | 0.146974 | 0.07781 | 0 | 0 | 0 | 0 | 0.00612 | 0.147182 | 1,916 | 55 | 167 | 34.836364 | 0.843329 | 0.138831 | 0 | 0 | 0 | 0 | 0.263126 | 0 | 0 | 0 | 0 | 0 | 0.148148 | 1 | 0.037037 | false | 0 | 0.222222 | 0 | 0.259259 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6f068d6c5eae56035d6b920c42bb8ee0fe1c621 | 1,705 | py | Python | ppcd/utils/loss_compute.py | geoyee/PdRSCD | 4a1a7256320f006c15e3e5b5b238fdfba8198853 | [
"Apache-2.0"
] | 44 | 2021-04-21T02:41:55.000Z | 2022-03-09T03:01:16.000Z | ppcd/utils/loss_compute.py | MinZHANG-WHU/PdRSCD | 612976225201d78adc7ff99529ada17b41fedc5d | [
"Apache-2.0"
] | 2 | 2021-09-30T07:52:47.000Z | 2022-02-12T09:05:35.000Z | ppcd/utils/loss_compute.py | MinZHANG-WHU/PdRSCD | 612976225201d78adc7ff99529ada17b41fedc5d | [
"Apache-2.0"
] | 6 | 2021-07-23T02:18:39.000Z | 2022-01-14T01:15:50.000Z | # import paddle
def check_logits_losses(logits_list, losses):
# 自动权重和衰减
if 'ceof' not in losses.keys():
losses['ceof'] = [1] * len(losses['type'])
if 'decay' not in losses.keys():
losses['decay'] = [1] * len(losses['type'])
if len(losses['type']) == len(losses['ceof']) and \
... | 39.651163 | 96 | 0.567155 | 222 | 1,705 | 4.171171 | 0.225225 | 0.118791 | 0.070194 | 0.048596 | 0.37581 | 0.228942 | 0.157667 | 0.110151 | 0.110151 | 0.110151 | 0 | 0.005029 | 0.300293 | 1,705 | 43 | 97 | 39.651163 | 0.771165 | 0.024633 | 0 | 0.111111 | 0 | 0 | 0.149041 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0 | 0 | 0.083333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6f151a961ded81e75f0e5f337aec384c9bf1232 | 28,150 | py | Python | aiida_bigdft/PyBigDFT/BigDFT/LRTDDFT.py | adegomme/aiida-bigdft-plugin | dfd17f166a8cd547d3e581c7c3c9f4eb32bd2aab | [
"MIT"
] | 2 | 2020-06-10T02:45:59.000Z | 2020-08-05T18:55:05.000Z | aiida_bigdft/PyBigDFT/BigDFT/LRTDDFT.py | mikiec84/aiida-bigdft-plugin | ce6ddc69def97977fe0209861ea7f1637090b60f | [
"MIT"
] | 6 | 2019-12-15T19:35:34.000Z | 2021-05-07T15:32:18.000Z | aiida_bigdft/PyBigDFT/BigDFT/LRTDDFT.py | mikiec84/aiida-bigdft-plugin | ce6ddc69def97977fe0209861ea7f1637090b60f | [
"MIT"
] | 1 | 2020-08-05T18:55:21.000Z | 2020-08-05T18:55:21.000Z |
import numpy as np
from futile.Utils import write
HaeV = 27.21138386
def _occ_and_virt(log):
"""
Extract the number of occupied and empty orbitals from a logfile
"""
norb = log.log['Total Number of Orbitals']
if log.log['Spin treatment'] == 'Averaged':
norbv = log.evals[0].info[0]-norb
... | 37.383798 | 79 | 0.590515 | 3,554 | 28,150 | 4.587226 | 0.164041 | 0.015948 | 0.010428 | 0.010121 | 0.25161 | 0.201435 | 0.171993 | 0.161197 | 0.141569 | 0.11961 | 0 | 0.008755 | 0.310231 | 28,150 | 752 | 80 | 37.433511 | 0.83087 | 0.357052 | 0 | 0.158602 | 0 | 0 | 0.049097 | 0.002947 | 0 | 0 | 0 | 0 | 0.005376 | 1 | 0.094086 | false | 0.002688 | 0.026882 | 0.008065 | 0.217742 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6f34e314e7e198246f5d865ff9cf3535ca580d5 | 1,290 | py | Python | pi-pytorch/tutorials/sensor/eval.py | tongni1975/stackup-workshops | d83f1d5adcc0b133b10e22d1db295020af967bac | [
"MIT"
] | 12 | 2018-07-21T14:38:55.000Z | 2020-08-18T07:27:39.000Z | pi-pytorch/tutorials/sensor/eval.py | tongni1975/stackup-workshops | d83f1d5adcc0b133b10e22d1db295020af967bac | [
"MIT"
] | 1 | 2019-07-28T03:17:44.000Z | 2019-12-14T09:01:18.000Z | pi-pytorch/tutorials/sensor/eval.py | tongni1975/stackup-workshops | d83f1d5adcc0b133b10e22d1db295020af967bac | [
"MIT"
] | 10 | 2018-06-12T07:54:07.000Z | 2020-08-18T07:31:47.000Z | import torch
from torch.autograd import Variable
from sklearn.metrics import confusion_matrix, classification_report
import numpy as np
import time
# import our model and data
from rnn import RNN
from data import get_data
hidden_size = 10
learning_rate = 0.01
num_layers = 2
num_epochs = 1000
sequence_length = 10
batc... | 24.807692 | 67 | 0.712403 | 187 | 1,290 | 4.663102 | 0.438503 | 0.051606 | 0.03211 | 0.041284 | 0.036697 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018886 | 0.17907 | 1,290 | 51 | 68 | 25.294118 | 0.804533 | 0.078295 | 0 | 0 | 0 | 0 | 0.092905 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029412 | false | 0 | 0.205882 | 0 | 0.264706 | 0.176471 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6f3a4cb8ec73baf05b168d49488b8ba1e024e77 | 357 | py | Python | semesterIII/FADP/Exp2.py | ShreerajRaul/ghriet | 4ff8372ced0c871f019a61b735c60725b6d373d4 | [
"MIT"
] | null | null | null | semesterIII/FADP/Exp2.py | ShreerajRaul/ghriet | 4ff8372ced0c871f019a61b735c60725b6d373d4 | [
"MIT"
] | null | null | null | semesterIII/FADP/Exp2.py | ShreerajRaul/ghriet | 4ff8372ced0c871f019a61b735c60725b6d373d4 | [
"MIT"
] | null | null | null | # Solve the quadratic equation ax**2 + bx + c = 0
# import complex math module
import cmath
a=int(input("Enter a:"))
b=int(input("Enter b:"))
c=int(input("Enter c:"))
# calculate the discriminant
d = (b**2) - (4*a*c)
# find two solutions
sol1 = (-b-cmath.sqrt(d))/(2*a)
sol2 = (-b+cmath.sqrt(d))/(2*a)
print('The solutio... | 29.75 | 55 | 0.641457 | 66 | 357 | 3.469697 | 0.530303 | 0.104803 | 0.170306 | 0.09607 | 0.113537 | 0.113537 | 0 | 0 | 0 | 0 | 0 | 0.038961 | 0.137255 | 357 | 12 | 55 | 29.75 | 0.704545 | 0.336134 | 0 | 0 | 0 | 0 | 0.223176 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 0.125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6f5c7c92dd0905f3aec94fff3ac8b43d06bc4f8 | 2,084 | py | Python | pynars/utils/tools.py | AIxer/PyNARS | 443b6a5e1c9779a1b861df1ca51ce5a190998d2e | [
"MIT"
] | null | null | null | pynars/utils/tools.py | AIxer/PyNARS | 443b6a5e1c9779a1b861df1ca51ce5a190998d2e | [
"MIT"
] | null | null | null | pynars/utils/tools.py | AIxer/PyNARS | 443b6a5e1c9779a1b861df1ca51ce5a190998d2e | [
"MIT"
] | null | null | null | import sys
from typing import Callable, List
try:
sys.getsizeof(0)
getsizeof = lambda x: sys.getsizeof(x)
except:
# import resource
getsizeof = lambda _: 1#resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
def get_size(obj, seen=None):
"""Recursively finds size of objects"""
size = getsizeof(... | 33.079365 | 374 | 0.640595 | 323 | 2,084 | 3.96904 | 0.312694 | 0.043682 | 0.046802 | 0.032761 | 0.168487 | 0.168487 | 0.168487 | 0.054602 | 0 | 0 | 0 | 0.017337 | 0.225048 | 2,084 | 63 | 375 | 33.079365 | 0.776471 | 0.242802 | 0 | 0 | 0 | 0 | 0.010296 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.078947 | false | 0 | 0.105263 | 0 | 0.289474 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6f7adc0b1077f898d2e6f6848ac5efb072221fd | 7,331 | py | Python | funwalk/hyphae.py | cameronmartino/funwalk | 24d4bcf6790322f53c0e066492303b4fd2e0980e | [
"MIT"
] | null | null | null | funwalk/hyphae.py | cameronmartino/funwalk | 24d4bcf6790322f53c0e066492303b4fd2e0980e | [
"MIT"
] | null | null | null | funwalk/hyphae.py | cameronmartino/funwalk | 24d4bcf6790322f53c0e066492303b4fd2e0980e | [
"MIT"
] | 1 | 2019-12-16T19:45:03.000Z | 2019-12-16T19:45:03.000Z | from __future__ import division
import numpy as np
import pandas as pd
import math
from tqdm import tqdm
from matplotlib.colors import rgb2hex
def MonodExt(k1,k2,kt,l,Stmp,ks=200):
# source: Lejeune et al 1995, Morphology of Trichoderma reesei QM 9414 in Submerged Cultures
return (k1+k2*(l/(l+kt)))*(Stmp/(Stmp... | 47.915033 | 116 | 0.506343 | 939 | 7,331 | 3.848775 | 0.257721 | 0.077476 | 0.063918 | 0.019923 | 0.192861 | 0.125069 | 0.075263 | 0.075263 | 0.075263 | 0.075263 | 0 | 0.04117 | 0.370482 | 7,331 | 153 | 117 | 47.915033 | 0.741928 | 0.214568 | 0 | 0.065421 | 0 | 0 | 0.026414 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046729 | false | 0 | 0.056075 | 0.009346 | 0.149533 | 0.009346 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6f9290567678db771e6a8c50fd70341df8c77a3 | 1,636 | py | Python | Tree/(CODECHEF) Binary_Operations.py | XitizVerma/Data-Structures-and-Algorithms-Advanced | 610225eeb7e0b4ade229ec86355901ad1ca38784 | [
"MIT"
] | 1 | 2020-08-27T06:59:52.000Z | 2020-08-27T06:59:52.000Z | Tree/(CODECHEF) Binary_Operations.py | XitizVerma/Data-Structures-and-Algorithms-Advanced | 610225eeb7e0b4ade229ec86355901ad1ca38784 | [
"MIT"
] | null | null | null | Tree/(CODECHEF) Binary_Operations.py | XitizVerma/Data-Structures-and-Algorithms-Advanced | 610225eeb7e0b4ade229ec86355901ad1ca38784 | [
"MIT"
] | null | null | null | import sys
sys.setrecursionlimit(10**6)
class Node:
def __init__(self, val, pos):
self.left = None
self.right = None
self.pos = pos
self.val = val
def insert(node, val, pos):
if node is None:
print(pos)
return Node(val, pos)
if val < node.val: # move to left... | 27.266667 | 81 | 0.56846 | 232 | 1,636 | 3.991379 | 0.228448 | 0.097192 | 0.032397 | 0.045356 | 0.182505 | 0.12959 | 0.075594 | 0.075594 | 0.075594 | 0.075594 | 0 | 0.008182 | 0.327628 | 1,636 | 60 | 82 | 27.266667 | 0.833636 | 0.094743 | 0 | 0.203704 | 0 | 0 | 0.000679 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.092593 | false | 0 | 0.018519 | 0 | 0.222222 | 0.037037 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6fa1a37daf66eeb44908ffa65e9185aef668bb0 | 814 | py | Python | kubernetes/generate.py | gottaegbert/penter | 8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d | [
"MIT"
] | 13 | 2020-01-04T07:37:38.000Z | 2021-08-31T05:19:58.000Z | kubernetes/generate.py | gottaegbert/penter | 8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d | [
"MIT"
] | 3 | 2020-06-05T22:42:53.000Z | 2020-08-24T07:18:54.000Z | kubernetes/generate.py | gottaegbert/penter | 8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d | [
"MIT"
] | 9 | 2020-10-19T04:53:06.000Z | 2021-08-31T05:20:01.000Z | from kubernetes import client, config
import json
# 生成YML
def main():
pod = create_pod("dev")
print(json.dumps(client.ApiClient().sanitize_for_serialization(pod)))
def create_pod(environment):
return client.V1Pod(
api_version="v1",
kind="Pod",
metadata=client.V1ObjectMeta(
... | 22 | 73 | 0.443489 | 63 | 814 | 5.52381 | 0.634921 | 0.051724 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013514 | 0.454545 | 814 | 36 | 74 | 22.611111 | 0.77027 | 0.006143 | 0 | 0 | 0 | 0 | 0.057001 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068966 | false | 0 | 0.068966 | 0.034483 | 0.172414 | 0.034483 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6fb376cc1a2cdba245a1630f216a970be324900 | 1,680 | py | Python | manim/animation/update.py | philschatz/manim | e3359a571d9a02a08979b3e037ddada3e874eb7c | [
"MIT"
] | 5 | 2019-02-22T14:10:08.000Z | 2022-03-13T01:03:49.000Z | manim/animation/update.py | philschatz/manim | e3359a571d9a02a08979b3e037ddada3e874eb7c | [
"MIT"
] | 17 | 2021-04-10T13:47:17.000Z | 2021-05-17T21:25:30.000Z | manim/animation/update.py | philschatz/manim | e3359a571d9a02a08979b3e037ddada3e874eb7c | [
"MIT"
] | 1 | 2021-03-31T20:46:51.000Z | 2021-03-31T20:46:51.000Z | """Animations that update mobjects."""
__all__ = ["UpdateFromFunc", "UpdateFromAlphaFunc", "MaintainPositionRelativeTo"]
import operator as op
import typing
from ..animation.animation import Animation
if typing.TYPE_CHECKING:
from ..mobject.mobject import Mobject
class UpdateFromFunc(Animation):
"""
... | 28.965517 | 81 | 0.674405 | 175 | 1,680 | 6.217143 | 0.348571 | 0.077206 | 0.058824 | 0.060662 | 0.217831 | 0.171875 | 0.171875 | 0.171875 | 0.125 | 0.125 | 0 | 0 | 0.225595 | 1,680 | 57 | 82 | 29.473684 | 0.83628 | 0.108929 | 0 | 0.189189 | 0 | 0 | 0.059264 | 0.017711 | 0 | 0 | 0 | 0 | 0 | 1 | 0.135135 | false | 0 | 0.108108 | 0 | 0.324324 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6fb8c0182b842a2a3c6c84fa4f6e7466f61a46b | 5,583 | py | Python | nets/mobilenet.py | DanielWong0623/Dog-Face-Recognition-PyTorch | 70920a65617d9b6de59919d8920e4a1a133d58d3 | [
"MIT"
] | null | null | null | nets/mobilenet.py | DanielWong0623/Dog-Face-Recognition-PyTorch | 70920a65617d9b6de59919d8920e4a1a133d58d3 | [
"MIT"
] | null | null | null | nets/mobilenet.py | DanielWong0623/Dog-Face-Recognition-PyTorch | 70920a65617d9b6de59919d8920e4a1a133d58d3 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
def _make_divisible(ch, divisor=8, min_ch=None):
if min_ch is None:
min_ch = divisor
new_ch = max(min_ch, int(ch + divisor / 2) // divisor * divisor)
if new_ch < 0.9 * ch:
new_ch += divisor
return new_ch
# ----------------------
# Mobi... | 30.675824 | 105 | 0.51818 | 684 | 5,583 | 4.049708 | 0.209064 | 0.030325 | 0.019495 | 0.039711 | 0.177256 | 0.150181 | 0.098556 | 0.053791 | 0.053791 | 0.053791 | 0 | 0.095736 | 0.348916 | 5,583 | 181 | 106 | 30.845304 | 0.6663 | 0.106574 | 0 | 0.144 | 0 | 0 | 0.001675 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.08 | false | 0 | 0.016 | 0.016 | 0.184 | 0.008 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6fc1bb2c513a94df13f8c3502baea0cf10d6404 | 538 | py | Python | xbrr/edinet/reader/aspects/stock.py | 5laps2go/xbrr | 4c0824b53bfe971111d60e6c1ff4e36f4f4845a3 | [
"MIT"
] | null | null | null | xbrr/edinet/reader/aspects/stock.py | 5laps2go/xbrr | 4c0824b53bfe971111d60e6c1ff4e36f4f4845a3 | [
"MIT"
] | null | null | null | xbrr/edinet/reader/aspects/stock.py | 5laps2go/xbrr | 4c0824b53bfe971111d60e6c1ff4e36f4f4845a3 | [
"MIT"
] | null | null | null | from xbrr.base.reader.base_parser import BaseParser
from xbrr.edinet.reader.element_value import ElementValue
class Stock(BaseParser):
def __init__(self, reader):
tags = {
"dividend_paid": "jpcrp_cor:DividendPaidPerShareSummaryOfBusinessResults", # 一株配当
"dividends_surplus": "jppf... | 38.428571 | 96 | 0.665428 | 48 | 538 | 7.104167 | 0.6875 | 0.046921 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.247212 | 538 | 13 | 97 | 41.384615 | 0.841975 | 0.031599 | 0 | 0 | 0 | 0 | 0.32882 | 0.270793 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.2 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6fc289ed39bfadb67662fbe1b9dc0d8849d8f8c | 2,031 | py | Python | ClusterAuthors.py | wjs018/JitaChat | 0b289f7f6e65c1a8b0627e7c3573307580042d1c | [
"MIT"
] | null | null | null | ClusterAuthors.py | wjs018/JitaChat | 0b289f7f6e65c1a8b0627e7c3573307580042d1c | [
"MIT"
] | null | null | null | ClusterAuthors.py | wjs018/JitaChat | 0b289f7f6e65c1a8b0627e7c3573307580042d1c | [
"MIT"
] | null | null | null | """This program first reads in the sqlite database made by ParseAuthors.py.
Then, after just a little data cleaning, it undergoes PCA decomposition.
After being decomposed via PCA, the author data is then clustered by way of a
K-means clustering algorithm. The number of clusters can be set by changing
the value of n_cl... | 31.734375 | 89 | 0.690793 | 286 | 2,031 | 4.776224 | 0.493007 | 0.023426 | 0.026354 | 0.029283 | 0.04978 | 0.04978 | 0 | 0 | 0 | 0 | 0 | 0.010336 | 0.237814 | 2,031 | 64 | 90 | 31.734375 | 0.872093 | 0.476613 | 0 | 0 | 0 | 0 | 0.088995 | 0.039234 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.26087 | 0 | 0.26087 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d6fcc73481c40c481a1a9aa8423bcb41c20526de | 718 | py | Python | Leetcode/304. Range Sum Query 2D - Immutable/solution1.py | asanoviskhak/Outtalent | c500e8ad498f76d57eb87a9776a04af7bdda913d | [
"MIT"
] | 51 | 2020-07-12T21:27:47.000Z | 2022-02-11T19:25:36.000Z | Leetcode/304. Range Sum Query 2D - Immutable/solution1.py | CrazySquirrel/Outtalent | 8a10b23335d8e9f080e5c39715b38bcc2916ff00 | [
"MIT"
] | null | null | null | Leetcode/304. Range Sum Query 2D - Immutable/solution1.py | CrazySquirrel/Outtalent | 8a10b23335d8e9f080e5c39715b38bcc2916ff00 | [
"MIT"
] | 32 | 2020-07-27T13:54:24.000Z | 2021-12-25T18:12:50.000Z | class NumMatrix:
def __init__(self, matrix: List[List[int]]):
if not matrix or not matrix[0]: return None
m, n = len(matrix), len(matrix[0])
self.dp = [[0] * (n + 1) for _ in range(m + 1)]
for r in range(m):
for c in range(n):
self.dp[r + 1][c + 1] = self... | 42.235294 | 116 | 0.568245 | 122 | 718 | 3.295082 | 0.327869 | 0.134328 | 0.069652 | 0.039801 | 0.087065 | 0 | 0 | 0 | 0 | 0 | 0 | 0.056075 | 0.254875 | 718 | 16 | 117 | 44.875 | 0.695327 | 0.182451 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0 | 0.1 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |