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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6f11a287519a38fcf82e8d66f617304a1a4f570b | 688 | py | Python | setup.py | wgnet/grail | 1d8d22bebda758800cb9aa9027486053d568bc14 | [
"Apache-2.0"
] | 37 | 2015-01-12T07:34:34.000Z | 2020-12-29T09:46:28.000Z | setup.py | wgnet/grail | 1d8d22bebda758800cb9aa9027486053d568bc14 | [
"Apache-2.0"
] | 7 | 2015-04-10T14:55:34.000Z | 2021-04-28T10:00:47.000Z | setup.py | wgnet/grail | 1d8d22bebda758800cb9aa9027486053d568bc14 | [
"Apache-2.0"
] | 17 | 2015-01-06T20:09:02.000Z | 2019-06-28T08:57:36.000Z | from setuptools import setup
version = '1.0.10'
setup(
name='grail',
version=version,
classifiers=[
'Intended Audience :: Developers',
'Operating System :: OS Independent',
'Programming Language :: Python',
'Programming Language :: Python :: 2.7',
],
packages=[
... | 28.666667 | 111 | 0.640988 | 80 | 688 | 5.45 | 0.825 | 0.087156 | 0.114679 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011583 | 0.247093 | 688 | 23 | 112 | 29.913043 | 0.830116 | 0 | 0 | 0.095238 | 0 | 0 | 0.547965 | 0.036337 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.047619 | 0 | 0.047619 | 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 |
6f123e344c537798141dc193f3e6368ab0209301 | 964 | py | Python | tests/test_free.py | qingyunha/boltdb | 2ea341336f02210f751cd49ea7724d890511db38 | [
"MIT"
] | 7 | 2020-11-18T10:06:47.000Z | 2021-09-06T16:31:13.000Z | tests/test_free.py | qingyunha/boltdb | 2ea341336f02210f751cd49ea7724d890511db38 | [
"MIT"
] | 1 | 2021-02-20T19:32:11.000Z | 2021-02-20T19:32:11.000Z | tests/test_free.py | qingyunha/boltdb | 2ea341336f02210f751cd49ea7724d890511db38 | [
"MIT"
] | 2 | 2020-11-25T15:21:20.000Z | 2021-02-20T19:28:14.000Z | import os
import unittest
import tempfile
from boltdb import BoltDB
class TestFree(unittest.TestCase):
def setUp(self):
self.db = BoltDB(tempfile.mktemp())
def tearDown(self):
os.unlink(self.db.filename)
def test_free(self):
with self.db.update() as tx:
b = tx.bucke... | 24.717949 | 61 | 0.551867 | 134 | 964 | 3.955224 | 0.276119 | 0.124528 | 0.075472 | 0.120755 | 0.573585 | 0.573585 | 0.573585 | 0.573585 | 0.573585 | 0.573585 | 0 | 0.01173 | 0.292531 | 964 | 38 | 62 | 25.368421 | 0.765396 | 0 | 0 | 0.428571 | 0 | 0 | 0.024896 | 0 | 0 | 0 | 0 | 0 | 0.178571 | 1 | 0.142857 | false | 0 | 0.142857 | 0 | 0.321429 | 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 |
6f162b9d147aaaf9aa9b58f1a839359e4e0bcd22 | 9,024 | py | Python | nlp_fourier.py | neitzke/stokes-numerics | 8845aef7598ca245d095cca690bf48568758a8c9 | [
"MIT"
] | 1 | 2020-08-03T16:24:06.000Z | 2020-08-03T16:24:06.000Z | nlp_fourier.py | neitzke/stokes-numerics | 8845aef7598ca245d095cca690bf48568758a8c9 | [
"MIT"
] | null | null | null | nlp_fourier.py | neitzke/stokes-numerics | 8845aef7598ca245d095cca690bf48568758a8c9 | [
"MIT"
] | null | null | null | """Fourier transform non-linear Poisson solver"""
# This module is concerned with solving the "non-linear Poisson"
# equation
# Delta(u) = f(u,z)
# on a uniform rectangular mesh, with u = u0 on the boundary.
#
# We solve the equation by an iterative method, solving an
# approximation to the linearized equation at ... | 38.729614 | 176 | 0.623559 | 1,355 | 9,024 | 4.076753 | 0.288561 | 0.043447 | 0.019913 | 0.015206 | 0.098841 | 0.081644 | 0.078023 | 0.05449 | 0.038559 | 0.038559 | 0 | 0.025255 | 0.271609 | 9,024 | 232 | 177 | 38.896552 | 0.815153 | 0.446254 | 0 | 0.021277 | 0 | 0.010638 | 0.099534 | 0 | 0 | 0 | 0 | 0.00431 | 0 | 1 | 0.106383 | false | 0 | 0.074468 | 0.010638 | 0.287234 | 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 |
6f18b3824b6daec3cd5fa315168eff3f33823b3f | 24,236 | py | Python | qatrack/qa/migrations/0001_initial.py | crcrewso/qatrackplus | b9da3bc542d9e3eca8b7291bb631d1c7255d528e | [
"MIT"
] | 20 | 2021-03-11T18:37:32.000Z | 2022-03-23T19:38:07.000Z | qatrack/qa/migrations/0001_initial.py | crcrewso/qatrackplus | b9da3bc542d9e3eca8b7291bb631d1c7255d528e | [
"MIT"
] | 75 | 2021-02-12T02:37:33.000Z | 2022-03-29T20:56:16.000Z | qatrack/qa/migrations/0001_initial.py | crcrewso/qatrackplus | b9da3bc542d9e3eca8b7291bb631d1c7255d528e | [
"MIT"
] | 5 | 2021-04-07T15:46:53.000Z | 2021-09-18T16:55:00.000Z | # -*- coding: utf-8 -*-
from django.db import migrations, models
import django.utils.timezone
import django.db.models.deletion
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
('contenttypes', '0002_remove_content_type_name'),
('auth', '0006_require_conte... | 74.572308 | 469 | 0.637523 | 2,784 | 24,236 | 5.391164 | 0.136853 | 0.029849 | 0.031714 | 0.034979 | 0.605503 | 0.562129 | 0.517623 | 0.474649 | 0.443734 | 0.424612 | 0 | 0.004926 | 0.22937 | 24,236 | 324 | 470 | 74.802469 | 0.798683 | 0.000866 | 0 | 0.451104 | 0 | 0.015773 | 0.308305 | 0.021641 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.009464 | 0.012618 | 0 | 0.022082 | 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 |
6f1b13d2e45c97356d3de371d486f2f4c6321a9d | 746 | py | Python | cloudygram_api_server/models/telethon_model.py | Maverick1983/cloudygram-api-server | acb0b0ed173ebfff8b1a2b69efef3abe943e735e | [
"Unlicense"
] | 2 | 2021-05-25T15:24:03.000Z | 2021-05-27T09:35:56.000Z | cloudygram_api_server/models/telethon_model.py | skurob/cgas | 7660064882c5d5e56dbc4aa7e5be99754ffdcfd6 | [
"Unlicense"
] | 1 | 2021-05-27T08:32:55.000Z | 2021-05-27T10:02:35.000Z | cloudygram_api_server/models/telethon_model.py | skurob/cgas | 7660064882c5d5e56dbc4aa7e5be99754ffdcfd6 | [
"Unlicense"
] | 1 | 2021-06-03T10:06:49.000Z | 2021-06-03T10:06:49.000Z | from .constants import SUCCESS_KEY, MESSAGE_KEY, DATA_KEY
from cloudygram_api_server.scripts import CGMessage
from typing import List
class TtModels:
@staticmethod
def sing_in_failure(message) -> dict:
return {
SUCCESS_KEY : False,
MESSAGE_KEY : message
}
@staticme... | 25.724138 | 60 | 0.608579 | 80 | 746 | 5.4125 | 0.4375 | 0.092379 | 0.110855 | 0.110855 | 0.327945 | 0.327945 | 0.327945 | 0.327945 | 0.327945 | 0.327945 | 0 | 0 | 0.323056 | 746 | 28 | 61 | 26.642857 | 0.857426 | 0 | 0 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12 | false | 0 | 0.12 | 0.08 | 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 |
6f1ed343bbac27b5996271e2bb652c962f6512bc | 3,935 | py | Python | michelanglo_api/ss_parser.py | matteoferla/MichelaNGLo-api | c00749d4b9385785f777bd6613ea8327381a3f38 | [
"MIT"
] | 1 | 2020-05-23T07:42:24.000Z | 2020-05-23T07:42:24.000Z | michelanglo_api/ss_parser.py | matteoferla/MichelaNGLo-api | c00749d4b9385785f777bd6613ea8327381a3f38 | [
"MIT"
] | null | null | null | michelanglo_api/ss_parser.py | matteoferla/MichelaNGLo-api | c00749d4b9385785f777bd6613ea8327381a3f38 | [
"MIT"
] | null | null | null | from collections import namedtuple
class SSParser:
"""
Create a SS block from PDB data.
Written to be agnostic of PDB parser, but for now only has PyMOL.
.. code-block:: python
import pymol2
with pymol2.PyMOL() as pymol:
pymol.cmd.load('model.pdb', 'prot')
ss = ... | 36.775701 | 99 | 0.516645 | 520 | 3,935 | 3.857692 | 0.303846 | 0.107677 | 0.048853 | 0.032901 | 0.327517 | 0.313559 | 0.301097 | 0.230309 | 0.195414 | 0.138584 | 0 | 0.021015 | 0.359085 | 3,935 | 106 | 100 | 37.122642 | 0.774385 | 0.271919 | 0 | 0.3125 | 0 | 0.078125 | 0.168148 | 0.052593 | 0 | 0 | 0 | 0 | 0 | 1 | 0.109375 | false | 0.015625 | 0.046875 | 0.015625 | 0.296875 | 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 |
6f1f6d17456ac645513cd747a8b58ba607f3346f | 748 | py | Python | Net640/apps/user_posts/mixin.py | 86Ilya/net640kb | 6724f3da3b678b637e0e776ee0d4953753ee2e05 | [
"MIT"
] | 1 | 2019-06-18T09:50:29.000Z | 2019-06-18T09:50:29.000Z | Net640/apps/user_posts/mixin.py | 86Ilya/net640kb | 6724f3da3b678b637e0e776ee0d4953753ee2e05 | [
"MIT"
] | 10 | 2019-12-24T07:05:29.000Z | 2022-02-10T07:42:44.000Z | Net640/apps/user_posts/mixin.py | 86Ilya/net640kb | 6724f3da3b678b637e0e776ee0d4953753ee2e05 | [
"MIT"
] | null | null | null | from django.urls import reverse
from Net640.settings import FRONTEND_DATE_FORMAT
class AsDictMessageMixin:
"""
Mixin for representing user messages(post, comments) as dictionaries
"""
def as_dict(self, executor):
return {'content': self.content,
'user_has_like': self.has_like(... | 37.4 | 94 | 0.605615 | 84 | 748 | 5.190476 | 0.535714 | 0.073395 | 0.082569 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007339 | 0.27139 | 748 | 19 | 95 | 39.368421 | 0.792661 | 0.090909 | 0 | 0 | 0 | 0 | 0.152338 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.153846 | 0.076923 | 0.384615 | 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 |
6f1f734997fb69804fc6859e112a7faf8e27b40b | 16,030 | py | Python | squids/tfrecords/maker.py | mmgalushka/squids | 2d6e1bbeb89721a2ff232a7031997111c600abb6 | [
"MIT"
] | null | null | null | squids/tfrecords/maker.py | mmgalushka/squids | 2d6e1bbeb89721a2ff232a7031997111c600abb6 | [
"MIT"
] | 37 | 2022-01-15T21:42:23.000Z | 2022-02-23T23:43:31.000Z | squids/tfrecords/maker.py | mmgalushka/squids | 2d6e1bbeb89721a2ff232a7031997111c600abb6 | [
"MIT"
] | null | null | null | """A module for converting a data source to TFRecords."""
import os
import json
import copy
import csv
from pathlib import Path
from shutil import rmtree
import PIL.Image as Image
import tensorflow as tf
from tqdm import tqdm
from .feature import items_to_features
from .errors import DirNotFoundError, InvalidDataset... | 33.818565 | 80 | 0.564255 | 1,730 | 16,030 | 5.053179 | 0.179191 | 0.042324 | 0.020133 | 0.008236 | 0.356555 | 0.314688 | 0.294212 | 0.284832 | 0.241249 | 0.228781 | 0 | 0.005316 | 0.331067 | 16,030 | 473 | 81 | 33.890063 | 0.809941 | 0.36151 | 0 | 0.208 | 0 | 0 | 0.055246 | 0.002685 | 0 | 0 | 0 | 0 | 0 | 1 | 0.056 | false | 0 | 0.048 | 0 | 0.164 | 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 |
6f1fef78694338432a72024d0e2abb835ff193fd | 5,335 | py | Python | venv/KryptoSkattScript/mining_income.py | odgaard/KryptoSkatt | 60338f25af2300b165738ceac033aae72969f7c5 | [
"MIT"
] | null | null | null | venv/KryptoSkattScript/mining_income.py | odgaard/KryptoSkatt | 60338f25af2300b165738ceac033aae72969f7c5 | [
"MIT"
] | null | null | null | venv/KryptoSkattScript/mining_income.py | odgaard/KryptoSkatt | 60338f25af2300b165738ceac033aae72969f7c5 | [
"MIT"
] | null | null | null | import pathlib
import datetime
path = 'c:/Users/Jacob/PycharmProjects/KryptoSkatt/Data/'
trans_in = list()
trans_out = list()
bitcoin_dict = dict()
ethereum_dict = dict()
USD_NOK_dict = dict()
def unix_time_to_date(timestamp):
return datetime.datetime.fromtimestamp(int(timestamp)).strftime('%Y-%m-%d')
def popul... | 37.307692 | 120 | 0.65567 | 785 | 5,335 | 4.22293 | 0.217834 | 0.038009 | 0.024133 | 0.045249 | 0.290799 | 0.267873 | 0.196983 | 0.175867 | 0.170136 | 0.152036 | 0 | 0.02032 | 0.215933 | 5,335 | 143 | 121 | 37.307692 | 0.772173 | 0.190066 | 0 | 0.263158 | 0 | 0 | 0.068388 | 0.023029 | 0 | 0 | 0 | 0 | 0 | 1 | 0.094737 | false | 0 | 0.021053 | 0.010526 | 0.147368 | 0.136842 | 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 |
6f21c952ba1d6ad55821e054cf4f9e1bcc0cbef5 | 1,222 | py | Python | SymBOP_Analysis/ql_global.py | duttm/Octahedra_Nanoparticle_Project | aebee2859e104071a1a6f5f46b42ddc9bd2fa5ad | [
"MIT"
] | null | null | null | SymBOP_Analysis/ql_global.py | duttm/Octahedra_Nanoparticle_Project | aebee2859e104071a1a6f5f46b42ddc9bd2fa5ad | [
"MIT"
] | null | null | null | SymBOP_Analysis/ql_global.py | duttm/Octahedra_Nanoparticle_Project | aebee2859e104071a1a6f5f46b42ddc9bd2fa5ad | [
"MIT"
] | null | null | null | import numpy as np
import scipy.special as ss
import pathlib
from Particle import Particle
def ql_global(l, particles):
# Keep only particles that have neighbors (this was changed 5/23/2020)
particles = [i for i in particles if len(Particle.data[i].neighs)>0]
neigh_total = sum([len(Particle.data[i].neig... | 20.366667 | 140 | 0.672668 | 204 | 1,222 | 3.97549 | 0.323529 | 0.088779 | 0.073983 | 0.036991 | 0.490752 | 0.266338 | 0.266338 | 0.199753 | 0.199753 | 0.199753 | 0 | 0.02275 | 0.172668 | 1,222 | 59 | 141 | 20.711864 | 0.779426 | 0.097381 | 0 | 0.090909 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.181818 | 0 | 0.272727 | 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 |
6f24922c982451aa56d071ba87202ae9a17e9ae3 | 1,030 | py | Python | arsenal/sleep/openfaas/sleep-py/handler.py | nropatas/faasbenchmark | 99f08c70a0ddaa8e9dcadb092b2c395318a6e215 | [
"Apache-2.0"
] | null | null | null | arsenal/sleep/openfaas/sleep-py/handler.py | nropatas/faasbenchmark | 99f08c70a0ddaa8e9dcadb092b2c395318a6e215 | [
"Apache-2.0"
] | null | null | null | arsenal/sleep/openfaas/sleep-py/handler.py | nropatas/faasbenchmark | 99f08c70a0ddaa8e9dcadb092b2c395318a6e215 | [
"Apache-2.0"
] | null | null | null | import os
import time
import datetime
def get_current_epoch():
return int((datetime.datetime.utcnow() - datetime.datetime(1970, 1, 1)).total_seconds() * 1000)
def get_sleep_parameter(event):
user_input = str(event.query["sleep"])
if not user_input or not user_input.isdigit() or int(user_input) < 0:
... | 23.953488 | 99 | 0.615534 | 130 | 1,030 | 4.661538 | 0.346154 | 0.089109 | 0.074257 | 0.072607 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.037909 | 0.257282 | 1,030 | 42 | 100 | 24.52381 | 0.754248 | 0 | 0 | 0.117647 | 0 | 0 | 0.08835 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.147059 | false | 0 | 0.088235 | 0.029412 | 0.411765 | 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 |
6f25add3846c5ac4302faa8959401e3328e32572 | 2,223 | py | Python | smile_recognition.py | audreymychan/djsmile | 8dc5d6337f1b32db8bf3dfbf13315ec25049ebb5 | [
"MIT"
] | 5 | 2019-05-30T20:15:34.000Z | 2020-04-16T08:21:16.000Z | smile_recognition.py | audreymychan/djsmile | 8dc5d6337f1b32db8bf3dfbf13315ec25049ebb5 | [
"MIT"
] | 5 | 2021-08-25T14:43:34.000Z | 2022-02-10T00:14:09.000Z | smile_recognition.py | audreymychan/djsmile | 8dc5d6337f1b32db8bf3dfbf13315ec25049ebb5 | [
"MIT"
] | null | null | null | # This script loads the pre-trained scaler and models and contains the
# predict_smile() function to take in an image and return smile predictions
import joblib
from tensorflow.keras.models import load_model
from tensorflow.keras.preprocessing.image import img_to_array, array_to_img
from PIL import Image
import numpy ... | 35.285714 | 92 | 0.706253 | 335 | 2,223 | 4.498507 | 0.352239 | 0.03716 | 0.063703 | 0.045123 | 0.191108 | 0.179164 | 0.159257 | 0.118115 | 0.118115 | 0.066357 | 0 | 0.031492 | 0.185785 | 2,223 | 62 | 93 | 35.854839 | 0.801105 | 0.421952 | 0 | 0 | 0 | 0 | 0.20447 | 0.145695 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.227273 | 0 | 0.318182 | 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 |
6f25c6dda6bae99b736764ebd22f5be07aae919e | 1,054 | py | Python | comicstreamerlib/gui_qt.py | rlugojr/ComicStreamer | 62eb914652695ea41a5e1f0cfbd044cbc6854e84 | [
"Apache-2.0"
] | 169 | 2015-01-08T03:23:37.000Z | 2022-02-27T22:09:25.000Z | comicstreamerlib/gui_qt.py | gwhittey23/ComicStreamer | 3e0fe2011984cee54197985cb313f5b6864f6f8c | [
"Apache-2.0"
] | 46 | 2015-01-10T23:47:51.000Z | 2020-05-31T01:04:28.000Z | comicstreamerlib/gui_qt.py | gwhittey23/ComicStreamer | 3e0fe2011984cee54197985cb313f5b6864f6f8c | [
"Apache-2.0"
] | 94 | 2015-01-26T01:57:52.000Z | 2022-01-25T17:11:31.000Z | import sys
import webbrowser
import os
from comicstreamerlib.folders import AppFolders
from PyQt4 import QtGui,QtCore
class SystemTrayIcon(QtGui.QSystemTrayIcon):
def __init__(self, icon, app):
QtGui.QSystemTrayIcon.__init__(self, icon, None)
self.app = app
self.menu = QtGui.QMenu(None)
... | 23.422222 | 65 | 0.624288 | 111 | 1,054 | 5.738739 | 0.477477 | 0.037677 | 0.034537 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006527 | 0.273245 | 1,054 | 44 | 66 | 23.954545 | 0.825065 | 0 | 0 | 0 | 0 | 0 | 0.019924 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | false | 0.033333 | 0.166667 | 0 | 0.366667 | 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 |
6f276dd2fdcae04762736c35013f0dd614ff7db4 | 3,892 | py | Python | laserchicken/io/las_handler.py | eEcoLiDAR/eEcoLiDAR | f5c4e772e4893f7242ed0b10aa17ac7e693a55a0 | [
"Apache-2.0"
] | null | null | null | laserchicken/io/las_handler.py | eEcoLiDAR/eEcoLiDAR | f5c4e772e4893f7242ed0b10aa17ac7e693a55a0 | [
"Apache-2.0"
] | 104 | 2017-09-07T08:06:49.000Z | 2018-04-16T09:17:18.000Z | laserchicken/io/las_handler.py | eEcoLiDAR/eEcoLiDAR | f5c4e772e4893f7242ed0b10aa17ac7e693a55a0 | [
"Apache-2.0"
] | 2 | 2017-11-17T17:23:04.000Z | 2017-12-15T07:13:20.000Z | """ IO Handler for LAS (and compressed LAZ) file format """
import laspy
import numpy as np
from laserchicken import keys
from laserchicken.io.base_io_handler import IOHandler
from laserchicken.io.utils import convert_to_short_type, select_valid_attributes
DEFAULT_LAS_ATTRIBUTES = {
'x',
'y',
'z',
'i... | 37.423077 | 98 | 0.610226 | 480 | 3,892 | 4.76875 | 0.275 | 0.039318 | 0.017475 | 0.024465 | 0.17737 | 0.117082 | 0 | 0 | 0 | 0 | 0 | 0.003272 | 0.293165 | 3,892 | 103 | 99 | 37.786408 | 0.82879 | 0.174717 | 0 | 0.0625 | 0 | 0 | 0.089499 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.078125 | 0.03125 | 0.203125 | 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 |
6f29a0478e6fdf417f21eeca439c92961dbbacca | 1,206 | py | Python | prob.py | Y1fanHE/po_with_moead-levy | d0531c9685ea1a09dd074960b51756d8f19a9719 | [
"MIT"
] | 7 | 2020-09-02T12:40:58.000Z | 2021-09-17T09:39:09.000Z | prob.py | Y1fanHE/po_with_moead-levy | d0531c9685ea1a09dd074960b51756d8f19a9719 | [
"MIT"
] | null | null | null | prob.py | Y1fanHE/po_with_moead-levy | d0531c9685ea1a09dd074960b51756d8f19a9719 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
def read_file(prob_num):
df = pd.read_csv("dat/port" + str(prob_num) + ".txt", header=None,
delimiter="\s+", names=range(3)) # info on assets
n = int(df[0][0]) # number of assets
r = df[1: (n + 1)][0].values.reshape(n, 1) # mean of returns
s = df[1: (n + 1)][... | 29.414634 | 78 | 0.529022 | 231 | 1,206 | 2.731602 | 0.337662 | 0.019017 | 0.019017 | 0.019017 | 0.066561 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026018 | 0.266998 | 1,206 | 40 | 79 | 30.15 | 0.687783 | 0.150912 | 0 | 0.0625 | 0 | 0 | 0.0286 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | 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 |
6f2c2c62e843e5ddae5061bd51b492b090cca398 | 10,511 | py | Python | parser.py | sberczuk/powerschool-reporter | 2393d9f63ffe643499f6cbf2bf406f3c4d311129 | [
"MIT"
] | 1 | 2021-03-04T20:11:08.000Z | 2021-03-04T20:11:08.000Z | parser.py | sberczuk/powerschool-reporter | 2393d9f63ffe643499f6cbf2bf406f3c4d311129 | [
"MIT"
] | null | null | null | parser.py | sberczuk/powerschool-reporter | 2393d9f63ffe643499f6cbf2bf406f3c4d311129 | [
"MIT"
] | 1 | 2021-03-04T20:11:13.000Z | 2021-03-04T20:11:13.000Z | #!/usr/bin/env python3
import io
import xml.etree.ElementTree as ET
import argparse
ns = {'ns1': 'http://www.sifinfo.org/infrastructure/2.x',
'ns2': 'http://stumo.transcriptcenter.com'}
class StudentInfo:
def __init__(self, first_name, middle_name, last_name, ):
self.last_name = last_name
... | 38.083333 | 271 | 0.641328 | 1,406 | 10,511 | 4.591038 | 0.164296 | 0.040899 | 0.022308 | 0.012393 | 0.316344 | 0.266305 | 0.230519 | 0.153989 | 0.126723 | 0.091402 | 0 | 0.004647 | 0.221958 | 10,511 | 275 | 272 | 38.221818 | 0.784666 | 0.048521 | 0 | 0.133971 | 0 | 0.033493 | 0.245168 | 0.114772 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0.004785 | 0.019139 | 0.033493 | 0.22488 | 0.043062 | 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 |
6f2de6790116bc6ef41091db2832890bbce2457a | 2,623 | py | Python | eunite/eunite_data.py | jiasudemotuohe/deep_learning | 44eb14d91b6b9ca2092361918a1bcaa73786f78e | [
"MIT"
] | null | null | null | eunite/eunite_data.py | jiasudemotuohe/deep_learning | 44eb14d91b6b9ca2092361918a1bcaa73786f78e | [
"MIT"
] | null | null | null | eunite/eunite_data.py | jiasudemotuohe/deep_learning | 44eb14d91b6b9ca2092361918a1bcaa73786f78e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# @Time : 2020-04-11 12:34
# @Author : speeding_moto
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
EUNITE_PATH = "dataset/eunite.xlsx"
PARSE_TABLE_NAME = "mainData"
def load_eunite_data():
"""
return the generated load data, include all the features... | 22.808696 | 91 | 0.661456 | 404 | 2,623 | 4.064356 | 0.30198 | 0.036541 | 0.051157 | 0.021924 | 0.143118 | 0.12363 | 0 | 0 | 0 | 0 | 0 | 0.025518 | 0.208159 | 2,623 | 114 | 92 | 23.008772 | 0.765046 | 0.140297 | 0 | 0 | 0 | 0 | 0.066728 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.122807 | false | 0 | 0.052632 | 0.017544 | 0.280702 | 0.035088 | 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 |
6f2ef602fc37c19ef3635c7ccba25fb1c352192a | 4,828 | py | Python | tests/test_fibsem.py | DeMarcoLab/piescope | ea7acf5b198b91e4923097711d55ca038763eba2 | [
"MIT"
] | 4 | 2019-06-07T07:28:48.000Z | 2022-02-23T23:02:08.000Z | tests/test_fibsem.py | DeMarcoLab/PIEScope | ea7acf5b198b91e4923097711d55ca038763eba2 | [
"MIT"
] | 44 | 2019-06-09T14:32:16.000Z | 2022-03-25T06:04:20.000Z | tests/test_fibsem.py | DeMarcoLab/piescope | ea7acf5b198b91e4923097711d55ca038763eba2 | [
"MIT"
] | 3 | 2019-06-07T07:31:09.000Z | 2021-03-01T10:47:24.000Z | import numpy as np
import pytest
from piescope.data.mocktypes import MockAdornedImage
import piescope.fibsem
autoscript = pytest.importorskip(
"autoscript_sdb_microscope_client", reason="Autoscript is not available."
)
try:
from autoscript_sdb_microscope_client import SdbMicroscopeClient
microscope = Sdb... | 31.763158 | 89 | 0.719553 | 628 | 4,828 | 5.328025 | 0.216561 | 0.040646 | 0.071727 | 0.059773 | 0.56844 | 0.521518 | 0.456665 | 0.456665 | 0.456665 | 0.454274 | 0 | 0.038818 | 0.172949 | 4,828 | 151 | 90 | 31.97351 | 0.799149 | 0.031483 | 0 | 0.327586 | 0 | 0 | 0.047772 | 0.006855 | 0 | 0 | 0 | 0 | 0.241379 | 1 | 0.12069 | false | 0 | 0.060345 | 0 | 0.198276 | 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 |
6f2f4a5690de443a3e4f39e964bc36f35fd2bc86 | 8,206 | py | Python | newnew.py | jennycs005/Skyscraper-App | 53d69e005bec17a033be6ea1274e8f7372ed8b28 | [
"MIT"
] | null | null | null | newnew.py | jennycs005/Skyscraper-App | 53d69e005bec17a033be6ea1274e8f7372ed8b28 | [
"MIT"
] | null | null | null | newnew.py | jennycs005/Skyscraper-App | 53d69e005bec17a033be6ea1274e8f7372ed8b28 | [
"MIT"
] | null | null | null | import streamlit as st
import pandas as pd
import matplotlib.pyplot as plt
import csv
import numpy as np
import pydeck as pdk
from PIL import Image
def scatterplot():
skyscrapers_data = pd.read_csv("Skyscrapers2021.csv")
completion_year_List = []
meters_List = []
for row in skyscrapers_data... | 40.029268 | 115 | 0.598343 | 942 | 8,206 | 5.036093 | 0.253716 | 0.056914 | 0.025084 | 0.030987 | 0.359612 | 0.332209 | 0.301644 | 0.203415 | 0.135961 | 0.135961 | 0 | 0.036333 | 0.268828 | 8,206 | 204 | 116 | 40.22549 | 0.754333 | 0.032903 | 0 | 0.232143 | 0 | 0 | 0.171162 | 0.016079 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035714 | false | 0 | 0.041667 | 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 |
6f2f4c53b7a08acbd2a5aec32456145e78be64d9 | 4,746 | py | Python | cifar_train.py | usumfabricae/sagemaker-multi-model-endpoint-tensorflow-computer-vision | 74a97ecc2fa9bf76c5543dfe23373a6c69c61647 | [
"MIT-0"
] | 4 | 2021-05-30T22:15:34.000Z | 2022-03-12T23:01:36.000Z | cifar_train.py | usumfabricae/sagemaker-multi-model-endpoint-tensorflow-computer-vision | 74a97ecc2fa9bf76c5543dfe23373a6c69c61647 | [
"MIT-0"
] | null | null | null | cifar_train.py | usumfabricae/sagemaker-multi-model-endpoint-tensorflow-computer-vision | 74a97ecc2fa9bf76c5543dfe23373a6c69c61647 | [
"MIT-0"
] | 3 | 2021-06-08T12:04:43.000Z | 2021-06-12T13:44:48.000Z | from tensorflow.keras.layers import Conv2D, MaxPooling2D, Flatten, Dense, Dropout, BatchNormalization
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.callbacks import ModelCheckpoint
from tensorflow.keras.models import Sequential
from tensorflow.keras.models import load_model
... | 37.370079 | 112 | 0.676991 | 640 | 4,746 | 4.798438 | 0.248438 | 0.03647 | 0.03875 | 0.03126 | 0.279062 | 0.24422 | 0.24422 | 0.203191 | 0.088896 | 0.088896 | 0 | 0.015032 | 0.201011 | 4,746 | 126 | 113 | 37.666667 | 0.794831 | 0.078803 | 0 | 0.070588 | 0 | 0 | 0.134986 | 0.00551 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047059 | false | 0 | 0.129412 | 0 | 0.223529 | 0.011765 | 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 |
6f30daadb871f9a5d1c444d73777bde40a45df2e | 8,658 | py | Python | src/utils/es_async.py | karawallace/mygene | 35bf066eb50bc929b4bb4e2423d47b4c98797526 | [
"Apache-2.0"
] | null | null | null | src/utils/es_async.py | karawallace/mygene | 35bf066eb50bc929b4bb4e2423d47b4c98797526 | [
"Apache-2.0"
] | null | null | null | src/utils/es_async.py | karawallace/mygene | 35bf066eb50bc929b4bb4e2423d47b4c98797526 | [
"Apache-2.0"
] | 1 | 2018-11-17T08:53:06.000Z | 2018-11-17T08:53:06.000Z | import re
import json
import tornado.web
import tornado.httpclient
tornado.httpclient.AsyncHTTPClient.configure("tornado.curl_httpclient.CurlAsyncHTTPClient")
import tornadoes
from utils.es import (ESQuery, ESQueryBuilder,
MGQueryError, ElasticSearchException,
ES_INDEX_NAME... | 38.825112 | 136 | 0.524371 | 918 | 8,658 | 4.751634 | 0.203704 | 0.020862 | 0.034388 | 0.027281 | 0.456901 | 0.398212 | 0.377579 | 0.360844 | 0.341128 | 0.30995 | 0 | 0.004302 | 0.382536 | 8,658 | 222 | 137 | 39 | 0.811635 | 0.057981 | 0 | 0.510309 | 0 | 0 | 0.067273 | 0.007871 | 0 | 0 | 0 | 0 | 0.005155 | 1 | 0.051546 | false | 0 | 0.041237 | 0 | 0.216495 | 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 |
6f31322afdaea5a169b7473328dfc029ea716e21 | 10,203 | py | Python | processviz/test.py | jurgendn/processviz | 82808a92662962f04c48673c9cf159d7bc904ff7 | [
"BSD-3-Clause"
] | null | null | null | processviz/test.py | jurgendn/processviz | 82808a92662962f04c48673c9cf159d7bc904ff7 | [
"BSD-3-Clause"
] | null | null | null | processviz/test.py | jurgendn/processviz | 82808a92662962f04c48673c9cf159d7bc904ff7 | [
"BSD-3-Clause"
] | 2 | 2020-03-19T11:14:13.000Z | 2021-08-14T14:24:08.000Z | """
Thư viện này viết ra phục vụ cho môn học `Các mô hình ngẫu nhiên và ứng dụng`
Sử dụng các thư viện `networkx, pandas, numpy, matplotlib`
"""
import networkx as nx
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.image import imread
import pandas as pd
def _gcd(a, b):
if a == 0:
retu... | 32.287975 | 101 | 0.503283 | 1,270 | 10,203 | 3.868504 | 0.192913 | 0.053124 | 0.015876 | 0.015673 | 0.273356 | 0.195604 | 0.160594 | 0.144311 | 0.127824 | 0.087523 | 0 | 0.007841 | 0.349995 | 10,203 | 315 | 102 | 32.390476 | 0.732961 | 0.112124 | 0 | 0.269565 | 0 | 0 | 0.034803 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.021739 | 0 | 0.252174 | 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 |
6f319a2e3b23a21c6ff1ef69178d3b4bc2931b78 | 3,322 | py | Python | src/check_results.py | jagwar/Sentiment-Analysis | 312186c066c360ed4b3ebc9e999dba419f10e93c | [
"MIT"
] | null | null | null | src/check_results.py | jagwar/Sentiment-Analysis | 312186c066c360ed4b3ebc9e999dba419f10e93c | [
"MIT"
] | null | null | null | src/check_results.py | jagwar/Sentiment-Analysis | 312186c066c360ed4b3ebc9e999dba419f10e93c | [
"MIT"
] | null | null | null | import os
import json
import numpy as np
import torch
from torch.utils.data import DataLoader, RandomSampler, TensorDataset, SequentialSampler
from transformers import CamembertTokenizer, CamembertForSequenceClassification
import pandas as pd
from tqdm import tqdm, trange
# tokenizer = CamembertTokenizer.from_pretr... | 40.024096 | 147 | 0.705298 | 408 | 3,322 | 5.517157 | 0.311275 | 0.042648 | 0.047979 | 0.066637 | 0.415815 | 0.366948 | 0.366948 | 0.310973 | 0.278099 | 0.219458 | 0 | 0.03797 | 0.175497 | 3,322 | 83 | 148 | 40.024096 | 0.783863 | 0.161048 | 0 | 0 | 0 | 0.032787 | 0.109594 | 0.077973 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032787 | false | 0 | 0.131148 | 0 | 0.180328 | 0.016393 | 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 |
6f34182931d744d711a9eaa391580c23eb3546c2 | 383 | py | Python | blog/users/urls.py | simpleOnly1/blog | 34343068318a64bd537e5862181e037fc4636247 | [
"MIT"
] | null | null | null | blog/users/urls.py | simpleOnly1/blog | 34343068318a64bd537e5862181e037fc4636247 | [
"MIT"
] | null | null | null | blog/users/urls.py | simpleOnly1/blog | 34343068318a64bd537e5862181e037fc4636247 | [
"MIT"
] | null | null | null | #进行users 子应用的视图路由
from django.urls import path
from users.views import RegisterView, ImageCodeView,SmsCodeView
urlpatterns = [
#path的第一个参数:路由
#path的第二个函数:视图函数名
path('register/', RegisterView.as_view(),name='register'),
#图片验证码的路由
path('imagecode/',ImageCodeView.as_view(),name='imagecode'),
#短信... | 25.533333 | 64 | 0.715405 | 42 | 383 | 6.452381 | 0.595238 | 0.066421 | 0.110701 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.138381 | 383 | 15 | 65 | 25.533333 | 0.821212 | 0.148825 | 0 | 0 | 0 | 0 | 0.158385 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.285714 | 0 | 0.285714 | 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 |
6f3478c403c5a4607452ef969c0985f21a247166 | 11,861 | py | Python | src/config/fabric-ansible/ansible-playbooks/filter_plugins/import_lldp_info.py | EWERK-DIGITAL/tf-controller | 311ea863b03d425a67d04d27c1f1b9cf1e20c926 | [
"Apache-2.0"
] | null | null | null | src/config/fabric-ansible/ansible-playbooks/filter_plugins/import_lldp_info.py | EWERK-DIGITAL/tf-controller | 311ea863b03d425a67d04d27c1f1b9cf1e20c926 | [
"Apache-2.0"
] | null | null | null | src/config/fabric-ansible/ansible-playbooks/filter_plugins/import_lldp_info.py | EWERK-DIGITAL/tf-controller | 311ea863b03d425a67d04d27c1f1b9cf1e20c926 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
from builtins import object
from builtins import str
import sys
import traceback
sys.path.append("/opt/contrail/fabric_ansible_playbooks/module_utils") # noqa
from filter_utils import _task_done, _task_error_log, _task_log, FilterLog
from job_manager.job_utils import JobVncApi
class FilterModule... | 39.802013 | 79 | 0.517073 | 1,116 | 11,861 | 5.039427 | 0.176523 | 0.053165 | 0.03734 | 0.031117 | 0.330903 | 0.246444 | 0.161451 | 0.13478 | 0.093172 | 0.07468 | 0 | 0.015007 | 0.39887 | 11,861 | 297 | 80 | 39.936027 | 0.773773 | 0.275019 | 0 | 0.151899 | 0 | 0 | 0.10917 | 0.049611 | 0 | 0 | 0 | 0 | 0 | 1 | 0.050633 | false | 0 | 0.056962 | 0.006329 | 0.170886 | 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 |
6f355a92c02e0c6216729df9bbfec7b8bd8e4145 | 527 | py | Python | src/shared/_menu.py | MarcSkovMadsen/awesome-panel-starter | b76854882a041c7b955a59785d08e167ffef07af | [
"Apache-2.0"
] | 5 | 2021-01-04T16:39:09.000Z | 2021-08-03T15:26:49.000Z | src/shared/_menu.py | MarcSkovMadsen/awesome-panel-starter | b76854882a041c7b955a59785d08e167ffef07af | [
"Apache-2.0"
] | 6 | 2020-12-28T03:28:25.000Z | 2021-09-11T13:07:51.000Z | src/shared/_menu.py | MarcSkovMadsen/awesome-panel-starter | b76854882a041c7b955a59785d08e167ffef07af | [
"Apache-2.0"
] | 1 | 2021-09-15T20:08:44.000Z | 2021-09-15T20:08:44.000Z | """Provides the MENU html string which is appended to all templates
Please note that the MENU only works in [Fast](https://www.fast.design/) based templates.
If you need some sort of custom MENU html string feel free to customize this code.
"""
from awesome_panel_extensions.frameworks.fast.fast_menu import to_menu
f... | 31 | 89 | 0.73814 | 78 | 527 | 4.897436 | 0.679487 | 0.036649 | 0.073298 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.16129 | 527 | 16 | 90 | 32.9375 | 0.864253 | 0.45351 | 0 | 0 | 0 | 0 | 0.021352 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 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 |
6f35c3c4af214e988cae123b40970464d22b95ab | 1,909 | py | Python | prediction-api/app.py | BrokenImage/raptor-api | 2cafc7fedf883a730d22dc0e2898f531d20fedf2 | [
"MIT",
"Unlicense"
] | null | null | null | prediction-api/app.py | BrokenImage/raptor-api | 2cafc7fedf883a730d22dc0e2898f531d20fedf2 | [
"MIT",
"Unlicense"
] | null | null | null | prediction-api/app.py | BrokenImage/raptor-api | 2cafc7fedf883a730d22dc0e2898f531d20fedf2 | [
"MIT",
"Unlicense"
] | null | null | null | import os
import boto3
import numpy as np
import tensorflow as tf
from flask import Flask
from dotenv import load_dotenv
from pymongo import MongoClient
from keras.models import load_model
from sklearn.preprocessing import LabelEncoder
from werkzeug.datastructures import FileStorage
from werkzeug.middleware.proxy_fix i... | 30.790323 | 103 | 0.736511 | 260 | 1,909 | 5.180769 | 0.438462 | 0.026726 | 0.026726 | 0.020787 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008669 | 0.154007 | 1,909 | 61 | 104 | 31.295082 | 0.825387 | 0.028287 | 0 | 0 | 0 | 0 | 0.118855 | 0.027553 | 0 | 0 | 0 | 0 | 0 | 1 | 0.021277 | false | 0 | 0.276596 | 0 | 0.340426 | 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 |
6f37404f1493e37478a90fbc8c755991983fccf9 | 3,836 | py | Python | beast/tests/helpers.py | marthaboyer/beast | 1ca71fb64ab60827e4e4e1937b64f319a98166c3 | [
"BSD-3-Clause"
] | null | null | null | beast/tests/helpers.py | marthaboyer/beast | 1ca71fb64ab60827e4e4e1937b64f319a98166c3 | [
"BSD-3-Clause"
] | null | null | null | beast/tests/helpers.py | marthaboyer/beast | 1ca71fb64ab60827e4e4e1937b64f319a98166c3 | [
"BSD-3-Clause"
] | null | null | null | # useful functions for BEAST tests
# put here instead of having in every tests
import os.path
import numpy as np
import h5py
from astropy.io import fits
from astropy.utils.data import download_file
__all__ = ['download_rename', 'compare_tables', 'compare_fits',
'compare_hdf5']
def download_rename(filena... | 31.966667 | 75 | 0.533889 | 441 | 3,836 | 4.480726 | 0.297052 | 0.02834 | 0.037955 | 0.046559 | 0.146761 | 0.146761 | 0.112348 | 0.112348 | 0.112348 | 0.112348 | 0 | 0.005381 | 0.370177 | 3,836 | 119 | 76 | 32.235294 | 0.8125 | 0.224713 | 0 | 0.152542 | 0 | 0 | 0.072644 | 0 | 0 | 0 | 0 | 0 | 0.118644 | 1 | 0.067797 | false | 0 | 0.084746 | 0 | 0.169492 | 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 |
6f38ecb37fdc239d1019da968ae8c9a2467372bc | 4,494 | py | Python | Win_Source/ESP_Autostart.py | maschhoff/ESP32-433Mhz-Receiver-and-Tools | a7cb8c0740054650d38444781d2b7b6c18779a29 | [
"MIT"
] | 3 | 2020-11-29T18:38:48.000Z | 2022-02-23T15:13:56.000Z | Win_Source/ESP_Autostart.py | maschhoff/ESP32-433Mhz-Receiver-and-Tools | a7cb8c0740054650d38444781d2b7b6c18779a29 | [
"MIT"
] | null | null | null | Win_Source/ESP_Autostart.py | maschhoff/ESP32-433Mhz-Receiver-and-Tools | a7cb8c0740054650d38444781d2b7b6c18779a29 | [
"MIT"
] | 2 | 2021-07-25T18:03:12.000Z | 2021-07-26T11:50:14.000Z | # Detlev Aschhoff info@vmais.de
# The MIT License (MIT)
#
# Copyright (c) 2020
#
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights... | 29.372549 | 86 | 0.574099 | 541 | 4,494 | 4.768946 | 0.397412 | 0.034109 | 0.020155 | 0.04186 | 0.229457 | 0.193411 | 0.167054 | 0.122481 | 0.122481 | 0.122481 | 0 | 0.012793 | 0.26947 | 4,494 | 152 | 87 | 29.565789 | 0.773073 | 0.298843 | 0 | 0.413462 | 0 | 0 | 0.156951 | 0.02114 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057692 | false | 0.009615 | 0.076923 | 0 | 0.153846 | 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 |
6f3a244598ce08d2133e90a30870681650f7eccc | 1,249 | py | Python | spike/compiler/Node.py | spikeio/lang | 33be3b51eaf22f873ddc94f2f9e381f605a2499f | [
"BSD-2-Clause"
] | 1 | 2020-06-15T07:38:12.000Z | 2020-06-15T07:38:12.000Z | spike/compiler/Node.py | spikeio/lang | 33be3b51eaf22f873ddc94f2f9e381f605a2499f | [
"BSD-2-Clause"
] | 1 | 2021-11-12T11:01:45.000Z | 2021-11-12T11:01:45.000Z | spike/compiler/Node.py | spikeio/lang | 33be3b51eaf22f873ddc94f2f9e381f605a2499f | [
"BSD-2-Clause"
] | null | null | null |
class Node(object):
# XXX: legacy code support
kind = property(lambda self: self.__class__)
def _iterChildren(self):
for name in self.childAttrNames:
yield (name, getattr(self, name))
return
children = property(_iterChildren)
def dump(self, stream, indent=0):
... | 27.152174 | 75 | 0.5004 | 137 | 1,249 | 4.518248 | 0.364964 | 0.088853 | 0.058158 | 0.067851 | 0.235864 | 0.235864 | 0.193861 | 0.12601 | 0.12601 | 0.12601 | 0 | 0.002554 | 0.373098 | 1,249 | 45 | 76 | 27.755556 | 0.787995 | 0.07526 | 0 | 0.275862 | 0 | 0 | 0.077459 | 0.018277 | 0 | 0 | 0 | 0 | 0 | 1 | 0.103448 | false | 0.034483 | 0 | 0 | 0.310345 | 0.172414 | 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 |
6f3cd19601af3a6ec8e27fb00bfee8d9af472214 | 95,791 | py | Python | leaderboard/scenarios/background_activity.py | casper-auto/leaderboard | 111a48f9099c08a2f1068ee8aea2ad56ce52ef9d | [
"MIT"
] | 68 | 2020-03-25T10:04:21.000Z | 2022-03-21T01:03:39.000Z | leaderboard/scenarios/background_activity.py | casper-auto/leaderboard | 111a48f9099c08a2f1068ee8aea2ad56ce52ef9d | [
"MIT"
] | 32 | 2020-06-16T22:11:05.000Z | 2022-03-24T09:35:48.000Z | leaderboard/scenarios/background_activity.py | casper-auto/leaderboard | 111a48f9099c08a2f1068ee8aea2ad56ce52ef9d | [
"MIT"
] | 40 | 2020-03-21T23:43:39.000Z | 2022-01-03T14:04:31.000Z | #!/usr/bin/env python
#
# This work is licensed under the terms of the MIT license.
# For a copy, see <https://opensource.org/licenses/MIT>.
"""
Scenario spawning elements to make the town dynamic and interesting
"""
import math
from collections import OrderedDict
import py_trees
import numpy as np
import carla
fr... | 44.741242 | 120 | 0.608784 | 11,727 | 95,791 | 4.645178 | 0.061994 | 0.012722 | 0.010831 | 0.006866 | 0.509013 | 0.409278 | 0.331846 | 0.282704 | 0.2329 | 0.203804 | 0 | 0.008935 | 0.317692 | 95,791 | 2,140 | 121 | 44.76215 | 0.824523 | 0.151298 | 0 | 0.362681 | 0 | 0 | 0.025456 | 0.000264 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046649 | false | 0.003942 | 0.005256 | 0 | 0.087385 | 0.011827 | 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 |
6f3d6d699afb7966b9d1c11324477310b224dc24 | 502 | py | Python | Python/Interfacing_C_C++_Fortran/F2py/comp_pi_f2py.py | Gjacquenot/training-material | 16b29962bf5683f97a1072d961dd9f31e7468b8d | [
"CC-BY-4.0"
] | 115 | 2015-03-23T13:34:42.000Z | 2022-03-21T00:27:21.000Z | Python/Interfacing_C_C++_Fortran/F2py/comp_pi_f2py.py | Gjacquenot/training-material | 16b29962bf5683f97a1072d961dd9f31e7468b8d | [
"CC-BY-4.0"
] | 56 | 2015-02-25T15:04:26.000Z | 2022-01-03T07:42:48.000Z | Python/Interfacing_C_C++_Fortran/F2py/comp_pi_f2py.py | Gjacquenot/training-material | 16b29962bf5683f97a1072d961dd9f31e7468b8d | [
"CC-BY-4.0"
] | 59 | 2015-11-26T11:44:51.000Z | 2022-03-21T00:27:22.000Z | #!/usr/bin/env python
from argparse import ArgumentParser
import sys
from comp_pi import compute_pi
def main():
arg_parser = ArgumentParser(description='compute pi using Fortran '
'function')
arg_parser.add_argument('n', default=1000, nargs='?',
hel... | 25.1 | 71 | 0.62749 | 60 | 502 | 4.983333 | 0.683333 | 0.090301 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013624 | 0.268924 | 502 | 19 | 72 | 26.421053 | 0.80109 | 0.039841 | 0 | 0 | 0 | 0 | 0.137214 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.214286 | 0 | 0.357143 | 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 |
6f3e4697377cf878d0a79c14a88b2faa221afbab | 2,224 | py | Python | dqn/dqn_noisy_networks/model.py | AgentMaker/Paddle-RLBooks | 2e879f7ec3befa2058f0181e205b790d47770a85 | [
"Apache-2.0"
] | 127 | 2021-03-22T07:34:43.000Z | 2022-02-04T13:33:15.000Z | dqn/dqn_noisy_networks/model.py | WhiteFireFox/Paddle-RLBooks | 1a6add1d01b1bab08bb9d246fcd6ab852a43c18c | [
"Apache-2.0"
] | 1 | 2021-05-16T09:51:07.000Z | 2021-05-16T09:51:07.000Z | dqn/dqn_noisy_networks/model.py | WhiteFireFox/Paddle-RLBooks | 1a6add1d01b1bab08bb9d246fcd6ab852a43c18c | [
"Apache-2.0"
] | 16 | 2021-04-03T05:31:30.000Z | 2022-03-26T07:53:49.000Z | import paddle
import paddle.nn as nn
import paddle.nn.functional as F
from paddle.nn.initializer import Assign
import math
class NoisyLinear(nn.Linear):
def __init__(self, in_features, out_features, sigma_zero=0.4, bias=True):
super(NoisyLinear, self).__init__(in_features, out_features)
sigma_init ... | 38.344828 | 131 | 0.619155 | 294 | 2,224 | 4.438776 | 0.261905 | 0.059004 | 0.039847 | 0.064368 | 0.267433 | 0.162452 | 0.131801 | 0.062835 | 0 | 0 | 0 | 0.023694 | 0.259892 | 2,224 | 57 | 132 | 39.017544 | 0.769137 | 0 | 0 | 0.039216 | 0 | 0 | 0.022032 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.098039 | false | 0 | 0.098039 | 0 | 0.294118 | 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 |
6f405d7dc1023a5440b606895121fbd0e2262df7 | 1,631 | py | Python | forte/utils/utils_io.py | swapnull7/forte | 737a72afd440d40c3826c3a7c5e4e44235c0f701 | [
"Apache-2.0"
] | 2 | 2021-01-01T12:07:27.000Z | 2021-09-10T03:57:18.000Z | forte/utils/utils_io.py | swapnull7/forte | 737a72afd440d40c3826c3a7c5e4e44235c0f701 | [
"Apache-2.0"
] | null | null | null | forte/utils/utils_io.py | swapnull7/forte | 737a72afd440d40c3826c3a7c5e4e44235c0f701 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 The Forte Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | 24.343284 | 77 | 0.660331 | 224 | 1,631 | 4.723214 | 0.522321 | 0.056711 | 0.039698 | 0.030246 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006568 | 0.253219 | 1,631 | 66 | 78 | 24.712121 | 0.862069 | 0.488044 | 0 | 0.074074 | 0 | 0 | 0.094241 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.074074 | 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 |
6f4276bb292fddfa79fdb894416964ab4cf57b3a | 4,834 | py | Python | src/AFN.py | mbampi/LinguagensRegulares | 1fc7fbcc21053577bbeb1f71e742aee3a48f2188 | [
"MIT"
] | null | null | null | src/AFN.py | mbampi/LinguagensRegulares | 1fc7fbcc21053577bbeb1f71e742aee3a48f2188 | [
"MIT"
] | null | null | null | src/AFN.py | mbampi/LinguagensRegulares | 1fc7fbcc21053577bbeb1f71e742aee3a48f2188 | [
"MIT"
] | null | null | null |
import re
from AFD import AFD
class AFN:
def __init__(self, nome=None, estados=[], simbolos=[], estado_inicial=None, estados_finais=[], funcoes_programa={}):
self.nome = nome
self.estados = estados
self.simbolos = simbolos
self.estado_inicial = estado_inicial
self.estados... | 37.184615 | 156 | 0.528962 | 489 | 4,834 | 5.042945 | 0.224949 | 0.091241 | 0.048256 | 0.034063 | 0.130981 | 0.056772 | 0 | 0 | 0 | 0 | 0 | 0.005742 | 0.351469 | 4,834 | 129 | 157 | 37.472868 | 0.780861 | 0.058957 | 0 | 0.14433 | 0 | 0 | 0.051237 | 0.033569 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061856 | false | 0 | 0.020619 | 0 | 0.154639 | 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 |
6f428bd943ae35a4fd79dc7877617c8e0b05143f | 11,348 | py | Python | cs_tools/tools/_searchable-dependencies/app.py | thoughtspot/cs_tools | 7b516476be94adf7f121645b7c3fc7206fdae4ca | [
"MIT"
] | 1 | 2022-03-14T19:04:53.000Z | 2022-03-14T19:04:53.000Z | cs_tools/tools/_searchable-dependencies/app.py | thoughtspot/cs_tools | 7b516476be94adf7f121645b7c3fc7206fdae4ca | [
"MIT"
] | 10 | 2021-06-01T14:34:52.000Z | 2022-03-24T00:47:47.000Z | cs_tools/tools/_searchable-dependencies/app.py | thoughtspot/cs_tools | 7b516476be94adf7f121645b7c3fc7206fdae4ca | [
"MIT"
] | null | null | null | from typing import List, Dict
import pathlib
import shutil
import enum
from typer import Option as O_
import typer
from cs_tools.helpers.cli_ux import console, frontend, CSToolsGroup, CSToolsCommand
from cs_tools.util.datetime import to_datetime
from cs_tools.tools.common import run_tql_command, run_tql_script, tsloa... | 36.371795 | 139 | 0.607684 | 1,268 | 11,348 | 5.287855 | 0.246057 | 0.01044 | 0.013125 | 0.015213 | 0.336316 | 0.327069 | 0.293363 | 0.265921 | 0.253095 | 0.245787 | 0 | 0.00197 | 0.284191 | 11,348 | 311 | 140 | 36.488746 | 0.823464 | 0.094114 | 0 | 0.252212 | 0 | 0 | 0.265379 | 0.011632 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035398 | false | 0 | 0.079646 | 0.00885 | 0.199115 | 0.00885 | 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 |
6f454cefd9a2976b1fecad345694dd6dc38f8205 | 6,098 | py | Python | bots/philBots.py | phyxl/GameOfPureStrategy | 95ec7b1cb0c85dbdd4da315dac02d12d5d9c1a6a | [
"MIT"
] | null | null | null | bots/philBots.py | phyxl/GameOfPureStrategy | 95ec7b1cb0c85dbdd4da315dac02d12d5d9c1a6a | [
"MIT"
] | null | null | null | bots/philBots.py | phyxl/GameOfPureStrategy | 95ec7b1cb0c85dbdd4da315dac02d12d5d9c1a6a | [
"MIT"
] | null | null | null | #!/usr/bin/python
import math
import random
from utils.log import log
from bots.simpleBots import BasicBot
def get_Chosen(num_cards, desired_score):
chosen = list(range(1,num_cards+1))
last_removed = 0
while sum(chosen) > desired_score:
#remove a random element
last_removed = random.randint(0,len(chosen)-1)
... | 38.594937 | 130 | 0.735323 | 982 | 6,098 | 4.369654 | 0.248473 | 0.052202 | 0.042414 | 0.054533 | 0.431135 | 0.376369 | 0.312048 | 0.312048 | 0.268003 | 0.234444 | 0 | 0.011663 | 0.184487 | 6,098 | 157 | 131 | 38.840764 | 0.851196 | 0.388816 | 0 | 0.373832 | 0 | 0 | 0.008814 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074766 | false | 0 | 0.037383 | 0 | 0.196262 | 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 |
6f486f62f9567ab5d28e26f5db6697fa139744ec | 1,622 | py | Python | refined/refinement_types.py | espetro/refined | c2f38418268e8d89634ede1265d869d8d54dc9d4 | [
"MIT"
] | 4 | 2021-10-04T19:53:04.000Z | 2021-12-17T07:08:42.000Z | refined/refinement_types.py | espetro/refined | c2f38418268e8d89634ede1265d869d8d54dc9d4 | [
"MIT"
] | null | null | null | refined/refinement_types.py | espetro/refined | c2f38418268e8d89634ede1265d869d8d54dc9d4 | [
"MIT"
] | null | null | null | from typing_extensions import Annotated, TypeGuard
from typing import TypeVar, List, Set, Dict
from refined.predicates import (
PositivePredicate,
NegativePredicate,
ValidIntPredicate,
ValidFloatPredicate,
EmptyPredicate,
NonEmptyPredicate,
TrimmedPredicate,
IPv4Predicate,
IPv6Predi... | 25.34375 | 75 | 0.727497 | 143 | 1,622 | 8.076923 | 0.335664 | 0.083117 | 0.013853 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020543 | 0.159679 | 1,622 | 63 | 76 | 25.746032 | 0.826853 | 0.047472 | 0 | 0 | 0 | 0 | 0.107143 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.061224 | 0 | 0.061224 | 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 |
6f4befaddb9a5f3e1b6a96cd0450bb3e135fa72a | 1,151 | py | Python | setup.py | evamvid/SpotPRIS2 | 4def72c626ac4184fbfb5741ae1f5616f9c34245 | [
"MIT"
] | null | null | null | setup.py | evamvid/SpotPRIS2 | 4def72c626ac4184fbfb5741ae1f5616f9c34245 | [
"MIT"
] | null | null | null | setup.py | evamvid/SpotPRIS2 | 4def72c626ac4184fbfb5741ae1f5616f9c34245 | [
"MIT"
] | null | null | null | from setuptools import setup
with open("README.md", "r") as f:
long_description = f.read()
setup(name="SpotPRIS2",
version='0.3.1',
author="Adrian Freund",
author_email="adrian@freund.io",
url="https://github.com/freundTech/SpotPRIS2",
description="MPRIS2 interface for Spotify Connec... | 31.972222 | 66 | 0.569939 | 112 | 1,151 | 5.732143 | 0.767857 | 0.070093 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021505 | 0.272806 | 1,151 | 35 | 67 | 32.885714 | 0.74552 | 0 | 0 | 0.060606 | 0 | 0 | 0.460469 | 0.028671 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.030303 | 0 | 0.030303 | 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 |
6f4c2801d9bd553871475afb7b65130adbc0816c | 7,963 | py | Python | raster_statistic.py | Summer0328/DeeplabforRS | e2f7fcee7a226bcf4ac0dfe481e5559cbd86c602 | [
"MIT"
] | 3 | 2019-02-03T00:11:34.000Z | 2020-12-08T03:12:29.000Z | raster_statistic.py | Summer0328/DeeplabforRS | e2f7fcee7a226bcf4ac0dfe481e5559cbd86c602 | [
"MIT"
] | null | null | null | raster_statistic.py | Summer0328/DeeplabforRS | e2f7fcee7a226bcf4ac0dfe481e5559cbd86c602 | [
"MIT"
] | 8 | 2019-03-08T03:20:24.000Z | 2021-12-29T09:12:54.000Z | #!/usr/bin/env python
# Filename: raster_statistic
"""
introduction: conduct statistic based on vectos, similar to https://github.com/perrygeo/python-rasterstats,
# but allow image tiles (multi-raster).
authors: Huang Lingcao
email:huanglingcao@gmail.com
add time: 02 March, 2021
"""
import os,sys
import ve... | 39.034314 | 128 | 0.672485 | 1,117 | 7,963 | 4.4906 | 0.247986 | 0.027512 | 0.021531 | 0.019139 | 0.207137 | 0.172648 | 0.145534 | 0.112839 | 0.10327 | 0.076954 | 0 | 0.00854 | 0.235338 | 7,963 | 204 | 129 | 39.034314 | 0.815241 | 0.202185 | 0 | 0.057377 | 0 | 0 | 0.078973 | 0.025048 | 0 | 0 | 0 | 0 | 0 | 1 | 0.040984 | false | 0.016393 | 0.07377 | 0 | 0.147541 | 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 |
6f4f6ae38349e41996b32d4d35373858a72fda8b | 1,226 | py | Python | ariadne/old/defutils.py | microns-ariadne/ariadne-pipeline-test-harness | 73e749c48d1ff103fee2044833778e33c70be73b | [
"MIT"
] | 2 | 2016-03-15T15:07:06.000Z | 2016-05-10T23:01:05.000Z | ariadne/old/defutils.py | microns-ariadne/ariadne-pipeline-test-harness | 73e749c48d1ff103fee2044833778e33c70be73b | [
"MIT"
] | null | null | null | ariadne/old/defutils.py | microns-ariadne/ariadne-pipeline-test-harness | 73e749c48d1ff103fee2044833778e33c70be73b | [
"MIT"
] | null | null | null | # Defutils.py -- Contains parsing functions for definition files.
# Produces an organized list of tokens in the file.
def parse(filename):
f=open(filename, "r")
contents=f.read()
f.close()
# Tokenize the file:
#contents=contents.replace('\t', '\n')
lines=contents.splitlines()
outList=[]
... | 22.703704 | 65 | 0.596248 | 151 | 1,226 | 4.735099 | 0.423841 | 0.01958 | 0.036364 | 0.058741 | 0.167832 | 0.167832 | 0 | 0 | 0 | 0 | 0 | 0.006615 | 0.260196 | 1,226 | 53 | 66 | 23.132075 | 0.781698 | 0.137847 | 0 | 0.277778 | 0 | 0 | 0.098953 | 0.019981 | 0 | 0 | 0 | 0 | 0 | 1 | 0.194444 | false | 0 | 0 | 0.055556 | 0.444444 | 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 |
6f501da078c8264f3aa97dd237a4fd33b8efc2d3 | 492 | py | Python | qnap_locate_parser.py | killruana/snippets | c4c63dc61c727cce53fd44175bdf0dbaa6ca2b3e | [
"WTFPL"
] | null | null | null | qnap_locate_parser.py | killruana/snippets | c4c63dc61c727cce53fd44175bdf0dbaa6ca2b3e | [
"WTFPL"
] | null | null | null | qnap_locate_parser.py | killruana/snippets | c4c63dc61c727cce53fd44175bdf0dbaa6ca2b3e | [
"WTFPL"
] | null | null | null | #!/usr/bin/env python3
import json
import sys
import clize
def get_file_handler(input_file):
if input_file is None:
return sys.stdin
return open(input_file, 'r')
@clize.clize
def main(input_file=None):
result = {'datas': []}
with get_file_handler(input_file) as input_han... | 17.571429 | 56 | 0.628049 | 66 | 492 | 4.393939 | 0.5 | 0.155172 | 0.096552 | 0.131034 | 0.158621 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002747 | 0.260163 | 492 | 27 | 57 | 18.222222 | 0.793956 | 0.042683 | 0 | 0 | 0 | 0 | 0.060948 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.1875 | 0 | 0.4375 | 0.0625 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6f51e1b0451d36b7c6fa181d10bcac54b6aff907 | 2,254 | py | Python | evennia/contrib/tutorial_examples/mirror.py | lootcrawl/evennia | a5f736ca0ff89e4f7da7d3f89a8886f1ea3698aa | [
"BSD-3-Clause"
] | null | null | null | evennia/contrib/tutorial_examples/mirror.py | lootcrawl/evennia | a5f736ca0ff89e4f7da7d3f89a8886f1ea3698aa | [
"BSD-3-Clause"
] | null | null | null | evennia/contrib/tutorial_examples/mirror.py | lootcrawl/evennia | a5f736ca0ff89e4f7da7d3f89a8886f1ea3698aa | [
"BSD-3-Clause"
] | null | null | null | """
TutorialMirror
A simple mirror object to experiment with.
"""
from evennia import DefaultObject
from evennia.utils import make_iter, is_iter
from evennia import logger
class TutorialMirror(DefaultObject):
"""
A simple mirror object that
- echoes back the description of the object looking at it
... | 35.777778 | 96 | 0.612689 | 300 | 2,254 | 4.54 | 0.436667 | 0.022026 | 0.023495 | 0.0279 | 0.026432 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000641 | 0.308341 | 2,254 | 62 | 97 | 36.354839 | 0.872996 | 0.487134 | 0 | 0 | 0 | 0 | 0.25625 | 0.030208 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0.157895 | 0 | 0.421053 | 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 |
6f52486edca89f5433834a3b9b6ee311e8cbfc7a | 1,087 | py | Python | python/patternlock.py | Floozutter/silly | 8273b4a33e2001c0a530e859c12dbc30b9590a94 | [
"Unlicense"
] | null | null | null | python/patternlock.py | Floozutter/silly | 8273b4a33e2001c0a530e859c12dbc30b9590a94 | [
"Unlicense"
] | null | null | null | python/patternlock.py | Floozutter/silly | 8273b4a33e2001c0a530e859c12dbc30b9590a94 | [
"Unlicense"
] | null | null | null | from tkinter import Tk
from turtle import ScrolledCanvas, TurtleScreen, RawTurtle
DIGIT2POS = dict(zip(
"123456789",
((100 * (j - 1), 100 * (-i + 1)) for i in range(3) for j in range(3))
))
def draw_dots(turt: RawTurtle) -> None:
penstate = turt.pen()
turt.penup()
for x, y in DIGIT2POS.values():
... | 25.880952 | 73 | 0.618215 | 144 | 1,087 | 4.583333 | 0.381944 | 0.018182 | 0.036364 | 0.057576 | 0.309091 | 0.309091 | 0.309091 | 0.230303 | 0.230303 | 0.230303 | 0 | 0.048309 | 0.23827 | 1,087 | 41 | 74 | 26.512195 | 0.748792 | 0 | 0 | 0.333333 | 0 | 0 | 0.022999 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.055556 | 0 | 0.138889 | 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 |
6f541abd19a1111ebb51682e3f0933b11c46ab1e | 1,043 | py | Python | cnn_model/Compute_accuarcy.py | csJd/dg_text_contest_2018 | 24bf8ded51841ebc1b1487f239471d65ee1a2b18 | [
"MIT"
] | null | null | null | cnn_model/Compute_accuarcy.py | csJd/dg_text_contest_2018 | 24bf8ded51841ebc1b1487f239471d65ee1a2b18 | [
"MIT"
] | null | null | null | cnn_model/Compute_accuarcy.py | csJd/dg_text_contest_2018 | 24bf8ded51841ebc1b1487f239471d65ee1a2b18 | [
"MIT"
] | null | null | null | #coding=utf-8
import pandas as pd
def get_labels(init_file,predict_file):
init_label = []
predict_label = []
pd_init = pd.read_csv(init_file,sep="^",header=None)
for index,row in pd_init.iterrows():
init_label.append(row[0])
pd_predict = pd.read_csv(predict_file,sep=",",header=None)
... | 21.729167 | 121 | 0.663471 | 145 | 1,043 | 4.42069 | 0.331034 | 0.070203 | 0.028081 | 0.053042 | 0.099844 | 0.099844 | 0.099844 | 0.099844 | 0.099844 | 0 | 0 | 0.006061 | 0.209012 | 1,043 | 47 | 122 | 22.191489 | 0.770909 | 0.011505 | 0 | 0 | 0 | 0 | 0.125243 | 0.070874 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038462 | false | 0 | 0.038462 | 0 | 0.115385 | 0.192308 | 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 |
6f54410348912d7242d35c3b0676a8ad9e832eda | 1,219 | py | Python | ex01/arquivo/__init__.py | duartele/exerc-python | fc149a5bcd0686ba4cad87e95277658f9bbdc63b | [
"MIT"
] | null | null | null | ex01/arquivo/__init__.py | duartele/exerc-python | fc149a5bcd0686ba4cad87e95277658f9bbdc63b | [
"MIT"
] | null | null | null | ex01/arquivo/__init__.py | duartele/exerc-python | fc149a5bcd0686ba4cad87e95277658f9bbdc63b | [
"MIT"
] | null | null | null | from ex01.funcoes import *
def arqExiste(nome):
try:
a = open(nome, 'rt') #rt = read text
a.close()
except FileNotFoundError:
return False
else:
return True
def criarArq(nome):
try:
a = open(nome, 'wt+') #wt = write text and + = create one if it not exists
... | 23 | 82 | 0.528302 | 153 | 1,219 | 4.20915 | 0.477124 | 0.031056 | 0.049689 | 0.055901 | 0.152174 | 0.127329 | 0 | 0 | 0 | 0 | 0 | 0.012453 | 0.341263 | 1,219 | 52 | 83 | 23.442308 | 0.789539 | 0.068909 | 0 | 0.465116 | 0 | 0 | 0.243363 | 0.022124 | 0 | 0 | 0 | 0 | 0 | 1 | 0.093023 | false | 0 | 0.023256 | 0 | 0.162791 | 0.162791 | 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 |
6f55278da18ee1b87b293e3ecbf2009597eacc92 | 2,541 | py | Python | src/04_exploration/03_determine_fire_season.py | ranarango/fuegos-orinoquia | d82941ef0c90fe66162c8678b6f4a4c010d4313b | [
"MIT"
] | null | null | null | src/04_exploration/03_determine_fire_season.py | ranarango/fuegos-orinoquia | d82941ef0c90fe66162c8678b6f4a4c010d4313b | [
"MIT"
] | null | null | null | src/04_exploration/03_determine_fire_season.py | ranarango/fuegos-orinoquia | d82941ef0c90fe66162c8678b6f4a4c010d4313b | [
"MIT"
] | null | null | null | # -----------------------------------------------------------------------
# Author: Marcelo Villa-Piñeros
#
# Purpose: Determines the fire season for each window. The fire season is
# defined as the minimum number of consecutive months that contain more
# than 80% of the burned area (Archibald ett al 2013; Abatzoglou e... | 38.5 | 87 | 0.646989 | 330 | 2,541 | 4.821212 | 0.472727 | 0.056568 | 0.070396 | 0.041483 | 0.059082 | 0.040226 | 0 | 0 | 0 | 0 | 0 | 0.02286 | 0.19087 | 2,541 | 65 | 88 | 39.092308 | 0.749514 | 0.435262 | 0 | 0 | 0 | 0 | 0.122782 | 0.048261 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.153846 | 0 | 0.153846 | 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 |
6f5611d11711ac2d42a20770b0203d11ed9c22de | 5,719 | py | Python | holo/modules/blender.py | chinarjoshi/holo | 45da9a8b4186b405d4f7338b953e10b335b76573 | [
"MIT"
] | 1 | 2021-08-01T02:26:59.000Z | 2021-08-01T02:26:59.000Z | holo/modules/blender.py | chinarjoshi/holo | 45da9a8b4186b405d4f7338b953e10b335b76573 | [
"MIT"
] | null | null | null | holo/modules/blender.py | chinarjoshi/holo | 45da9a8b4186b405d4f7338b953e10b335b76573 | [
"MIT"
] | null | null | null | import bpy
import json
from bpy.types import SpaceView3D
from bpy.app.handlers import persistent
from mathutils import Quaternion, Matrix, Vector
from holo.gestures import prediction_from_camera
def duplicate_window(window_type: str = 'INVOKE_DEFAULT') -> None:
"""Duplicates a new window into bpy.data.screens fro... | 43.656489 | 135 | 0.673719 | 687 | 5,719 | 5.422125 | 0.321689 | 0.02255 | 0.02094 | 0.020403 | 0.201879 | 0.132886 | 0.132886 | 0.062819 | 0.02255 | 0.02255 | 0 | 0.142762 | 0.211226 | 5,719 | 130 | 136 | 43.992308 | 0.682997 | 0.130967 | 0 | 0.079208 | 0 | 0 | 0.092089 | 0.004665 | 0 | 0 | 0 | 0 | 0 | 1 | 0.079208 | false | 0 | 0.059406 | 0 | 0.148515 | 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 |
6f57b93666fc12f3542b15b4104bbd2e0df4bc2a | 2,506 | py | Python | ncp/models/det_mix_ncp.py | JoeMWatson/ncp | 705634393cc5b739323009aaa3ad0bd02f540728 | [
"Apache-2.0"
] | 2 | 2020-10-21T23:54:28.000Z | 2020-12-26T14:00:07.000Z | ncp/models/det_mix_ncp.py | JoeMWatson/ncp | 705634393cc5b739323009aaa3ad0bd02f540728 | [
"Apache-2.0"
] | null | null | null | ncp/models/det_mix_ncp.py | JoeMWatson/ncp | 705634393cc5b739323009aaa3ad0bd02f540728 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 41.081967 | 75 | 0.7502 | 367 | 2,506 | 4.953678 | 0.408719 | 0.066007 | 0.028603 | 0.041804 | 0.061606 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014953 | 0.146049 | 2,506 | 60 | 76 | 41.766667 | 0.834579 | 0.218675 | 0 | 0 | 0 | 0 | 0.003601 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04878 | false | 0 | 0.073171 | 0 | 0.170732 | 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 |
6f5a67d0b0a7c3b0ab3f8a01d7d7b783ef80e5c4 | 15,107 | py | Python | myTeam.py | alexrichardson21/PacmanDQNAgent | 7a7aff6f8fa80c0e00e107adb07380194e2fc2d3 | [
"MIT"
] | null | null | null | myTeam.py | alexrichardson21/PacmanDQNAgent | 7a7aff6f8fa80c0e00e107adb07380194e2fc2d3 | [
"MIT"
] | null | null | null | myTeam.py | alexrichardson21/PacmanDQNAgent | 7a7aff6f8fa80c0e00e107adb07380194e2fc2d3 | [
"MIT"
] | null | null | null | # myTeam.py
# ---------
# Licensing Infoesmation: You are free to use or extend these projects for
# educational purposes provided that (1) you do not distribute or publish
# solutions, (2) you retain this notice, and (3) you provide clear
# attribution to UC Berkeley, including a link to http://ai.berkeley.edu.
#
# A... | 34.256236 | 112 | 0.583769 | 1,885 | 15,107 | 4.535279 | 0.233422 | 0.036846 | 0.038601 | 0.047374 | 0.340742 | 0.276407 | 0.228448 | 0.199906 | 0.18353 | 0.139782 | 0 | 0.013625 | 0.314953 | 15,107 | 440 | 113 | 34.334091 | 0.812446 | 0.244787 | 0 | 0.255507 | 0 | 0 | 0.027835 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.070485 | false | 0 | 0.057269 | 0 | 0.22467 | 0.017621 | 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 |
6f5beb9a275be58bdbdf0da45a8be956e56f7cc6 | 850 | py | Python | wordBreak2.py | saai/LeetcodePythonSolutions | 201f2054dda3f303ae6a376b40cbc7f98688322c | [
"MIT"
] | null | null | null | wordBreak2.py | saai/LeetcodePythonSolutions | 201f2054dda3f303ae6a376b40cbc7f98688322c | [
"MIT"
] | null | null | null | wordBreak2.py | saai/LeetcodePythonSolutions | 201f2054dda3f303ae6a376b40cbc7f98688322c | [
"MIT"
] | null | null | null | class Solution:
# @param s, a string
# @param wordDict, a set<string>
# @return a string[]
def wordBreak(self, s, wordDict):
n = len(s)
res = []
chars = ''.join(wordDict)
for i in xrange(n):
if s[i] not in chars:
return res
lw = s[-1]
... | 28.333333 | 49 | 0.443529 | 111 | 850 | 3.369369 | 0.315315 | 0.016043 | 0.032086 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008316 | 0.434118 | 850 | 30 | 50 | 28.333333 | 0.769231 | 0.08 | 0 | 0.111111 | 0 | 0 | 0.001284 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0 | 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 |
6f5dc8fddaaa9b918695e316e6b45bac16a19712 | 880 | py | Python | deploy/deploy_asterisk_provider2.py | orpolaczek/astricon-2017-demos | 1d3f24a72b19bf7ecf70831fd6b122cde59ea47b | [
"MIT"
] | null | null | null | deploy/deploy_asterisk_provider2.py | orpolaczek/astricon-2017-demos | 1d3f24a72b19bf7ecf70831fd6b122cde59ea47b | [
"MIT"
] | null | null | null | deploy/deploy_asterisk_provider2.py | orpolaczek/astricon-2017-demos | 1d3f24a72b19bf7ecf70831fd6b122cde59ea47b | [
"MIT"
] | 1 | 2018-09-14T08:32:07.000Z | 2018-09-14T08:32:07.000Z | import datetime
import libcloud
from libcloud.compute.types import Provider
from libcloud.compute.providers import get_driver
from pprint import pprint
Engine = get_driver(Provider.ELASTICHOSTS)
driver = Engine("733b7dc7-7498-4db4-9dc4-74d3fee8abed",
secret="6w6CDAqL6JyXFj3xNkWW2zpUjYfv9dYaLVdaaR4Y",... | 25.882353 | 83 | 0.729545 | 112 | 880 | 5.633929 | 0.5625 | 0.038035 | 0.060222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.082557 | 0.146591 | 880 | 33 | 84 | 26.666667 | 0.757656 | 0 | 0 | 0 | 0 | 0 | 0.232955 | 0.122727 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.04 | 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 |
6f60ca83d2a6e347812ac821a5981278c5493d55 | 1,853 | py | Python | assignments/06-python-first-lines/first_lines.py | antoniog1995/biosys-analytics | f4ac78f0918c402b5405bcb95b6ad1f76f2d9f08 | [
"MIT"
] | null | null | null | assignments/06-python-first-lines/first_lines.py | antoniog1995/biosys-analytics | f4ac78f0918c402b5405bcb95b6ad1f76f2d9f08 | [
"MIT"
] | null | null | null | assignments/06-python-first-lines/first_lines.py | antoniog1995/biosys-analytics | f4ac78f0918c402b5405bcb95b6ad1f76f2d9f08 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
Author : antoniog1
Date : 2019-02-21
Purpose: Rock the Casbah
"""
import argparse
import sys
import os
# --------------------------------------------------
def get_args():
"""get command-line arguments"""
parser = argparse.ArgumentParser(
description='Argparse Python scri... | 28.953125 | 110 | 0.51538 | 198 | 1,853 | 4.686869 | 0.5 | 0.045259 | 0.036638 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00911 | 0.229897 | 1,853 | 63 | 111 | 29.412698 | 0.641205 | 0.239072 | 0 | 0 | 0 | 0 | 0.112564 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.083333 | 0 | 0.222222 | 0.083333 | 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 |
6f60f993f98cc6ec2f6e673c50ecaa903ed57a90 | 4,042 | py | Python | lvmsurveysim/target/target.py | albireox/lvmsurveysim | 8ebe8ae7a90e5f50c4ea186b947a49720b7ed9ed | [
"BSD-3-Clause"
] | null | null | null | lvmsurveysim/target/target.py | albireox/lvmsurveysim | 8ebe8ae7a90e5f50c4ea186b947a49720b7ed9ed | [
"BSD-3-Clause"
] | null | null | null | lvmsurveysim/target/target.py | albireox/lvmsurveysim | 8ebe8ae7a90e5f50c4ea186b947a49720b7ed9ed | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# encoding: utf-8
#
# @Author: José Sánchez-Gallego
# @Date: Oct 10, 2017
# @Filename: target.py
# @License: BSD 3-Clause
# @Copyright: José Sánchez-Gallego
from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
import os
import pathlib
impo... | 30.854962 | 79 | 0.596487 | 481 | 4,042 | 4.889813 | 0.359667 | 0.072279 | 0.027211 | 0.037415 | 0.071429 | 0.034014 | 0.034014 | 0 | 0 | 0 | 0 | 0.024657 | 0.297625 | 4,042 | 130 | 80 | 31.092308 | 0.803804 | 0.575953 | 0 | 0 | 0 | 0 | 0.069444 | 0 | 0 | 0 | 0 | 0 | 0.060606 | 1 | 0.151515 | false | 0 | 0.242424 | 0.030303 | 0.545455 | 0.030303 | 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 |
6f628605ce1d839a711154a74d7ae1743fe66d28 | 1,889 | py | Python | samples/snippets/test_export_to_bigquery.py | renovate-bot/python-contact-center-insights | d133f4028d862cc39d10ba4b0879df256a3505c1 | [
"Apache-2.0"
] | 4 | 2021-08-15T04:55:44.000Z | 2022-02-01T09:19:57.000Z | samples/snippets/test_export_to_bigquery.py | renovate-bot/python-contact-center-insights | d133f4028d862cc39d10ba4b0879df256a3505c1 | [
"Apache-2.0"
] | 53 | 2021-07-16T11:02:44.000Z | 2022-03-07T16:39:20.000Z | samples/snippets/test_export_to_bigquery.py | renovate-bot/python-contact-center-insights | d133f4028d862cc39d10ba4b0879df256a3505c1 | [
"Apache-2.0"
] | 5 | 2021-07-15T18:17:53.000Z | 2022-01-29T08:09:16.000Z | # Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, s... | 28.621212 | 87 | 0.755956 | 271 | 1,889 | 5.062731 | 0.402214 | 0.059038 | 0.032799 | 0.046647 | 0.074344 | 0.036443 | 0 | 0 | 0 | 0 | 0 | 0.007585 | 0.16252 | 1,889 | 65 | 88 | 29.061538 | 0.859671 | 0.351509 | 0 | 0.096774 | 0 | 0 | 0.11599 | 0.077051 | 0 | 0 | 0 | 0 | 0.032258 | 1 | 0.129032 | false | 0 | 0.16129 | 0 | 0.354839 | 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 |
6f62e27b225bd0318b85812c8f42343dc3b0fca8 | 1,436 | py | Python | Author/admin.py | CMPUT404-Fa21-Organization/CMPUT404-Project-Social-Distribution | 63c0ba2a03f0b462e3673ce7a4bf6bae7999440c | [
"Apache-2.0"
] | 3 | 2021-12-11T13:43:56.000Z | 2022-03-31T02:36:05.000Z | Author/admin.py | CMPUT404-Fa21-Organization/CMPUT404-Project-Social-Distribution | 63c0ba2a03f0b462e3673ce7a4bf6bae7999440c | [
"Apache-2.0"
] | 9 | 2021-10-01T22:46:57.000Z | 2021-12-16T18:01:31.000Z | Author/admin.py | CMPUT404-Fa21-Organization/CMPUT404-Project-Social-Distribution | 63c0ba2a03f0b462e3673ce7a4bf6bae7999440c | [
"Apache-2.0"
] | 2 | 2021-12-16T16:37:10.000Z | 2021-12-16T20:30:12.000Z | from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from .models import *
# Register your models here.
def set_active(modeladmin, request, queryset):
for user in queryset:
user.is_active = True
user.save()
set_active.short_description = 'Set Account Status: Active'
de... | 31.217391 | 96 | 0.639972 | 154 | 1,436 | 5.844156 | 0.402597 | 0.07 | 0.113333 | 0.062222 | 0.191111 | 0.12 | 0.12 | 0.12 | 0.12 | 0.12 | 0 | 0.001765 | 0.211003 | 1,436 | 46 | 97 | 31.217391 | 0.792586 | 0.089136 | 0 | 0.114286 | 0 | 0 | 0.199387 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057143 | false | 0.028571 | 0.085714 | 0 | 0.342857 | 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 |
6f637c0d8807f40cbf867588212e880e31335fd4 | 26,912 | py | Python | TP2/pyApp/venv/lib/python3.8/site-packages/pyloco/task.py | MariusBallot/09-2021-Robotics-EFREI-Files | cf6bdb7b9d3b9f368970fbed42c6b403f56b0eeb | [
"W3C"
] | null | null | null | TP2/pyApp/venv/lib/python3.8/site-packages/pyloco/task.py | MariusBallot/09-2021-Robotics-EFREI-Files | cf6bdb7b9d3b9f368970fbed42c6b403f56b0eeb | [
"W3C"
] | null | null | null | TP2/pyApp/venv/lib/python3.8/site-packages/pyloco/task.py | MariusBallot/09-2021-Robotics-EFREI-Files | cf6bdb7b9d3b9f368970fbed42c6b403f56b0eeb | [
"W3C"
] | null | null | null | # -*- coding: utf-8 -*-
"""task module."""
from __future__ import unicode_literals
import sys
import os
import pydoc
import time
import json
import logging
import collections
import pkg_resources
import subprocess
import webbrowser
import websocket
from pyloco.parse import TaskArgParser, PylocoArgParser
from pyloco.... | 31.329453 | 111 | 0.506986 | 2,771 | 26,912 | 4.751714 | 0.146878 | 0.019215 | 0.010633 | 0.01443 | 0.332118 | 0.278727 | 0.220248 | 0.178704 | 0.124782 | 0.105795 | 0 | 0.004644 | 0.391944 | 26,912 | 858 | 112 | 31.365967 | 0.799988 | 0.079927 | 0 | 0.265306 | 0 | 0 | 0.094228 | 0 | 0 | 0 | 0 | 0.002331 | 0.022263 | 1 | 0.076067 | false | 0.009276 | 0.064935 | 0.009276 | 0.191095 | 0.027829 | 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 |
6f647632e2c96c2063ca3a82382e2a10a7664a9e | 1,716 | py | Python | lino_xl/lib/reception/__init__.py | khchine5/xl | b1634937a9ce87af1e948eb712b934b11f221d9d | [
"BSD-2-Clause"
] | 1 | 2018-01-12T14:09:48.000Z | 2018-01-12T14:09:48.000Z | lino_xl/lib/reception/__init__.py | khchine5/xl | b1634937a9ce87af1e948eb712b934b11f221d9d | [
"BSD-2-Clause"
] | 1 | 2019-09-10T05:03:47.000Z | 2019-09-10T05:03:47.000Z | lino_xl/lib/reception/__init__.py | khchine5/xl | b1634937a9ce87af1e948eb712b934b11f221d9d | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: UTF-8 -*-
# Copyright 2013-2016 Luc Saffre
#
# License: BSD (see file COPYING for details)
"""This module is for managing a reception desk and a waiting queue:
register clients into a waiting queue as they present themselves at a
reception desk (Empfangsschalter), and unregister them when they leave
agai... | 28.6 | 72 | 0.701049 | 244 | 1,716 | 4.836066 | 0.57377 | 0.020339 | 0.042373 | 0.064407 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006637 | 0.20979 | 1,716 | 59 | 73 | 29.084746 | 0.863569 | 0.441142 | 0 | 0 | 0 | 0 | 0.296012 | 0.187117 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.071429 | 0 | 0.428571 | 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 |
6f659c58598cee6e53216640aed93bdbc6f2a194 | 320 | py | Python | old/accent_analyser/rules/RuleRemoveThe.py | stefantaubert/eng2ipa-accent-transformer | d620c70b06c83119402e255085046747ade87444 | [
"MIT"
] | null | null | null | old/accent_analyser/rules/RuleRemoveThe.py | stefantaubert/eng2ipa-accent-transformer | d620c70b06c83119402e255085046747ade87444 | [
"MIT"
] | null | null | null | old/accent_analyser/rules/RuleRemoveThe.py | stefantaubert/eng2ipa-accent-transformer | d620c70b06c83119402e255085046747ade87444 | [
"MIT"
] | null | null | null | from accent_analyser.rules.EngRule import EngRule
class RuleRemoveThe(EngRule):
def __init__(self, likelihood=1.0):
super().__init__(likelihood)
def _convert_core(self, words: list, current_index: int):
word = words[current_index].content
if word == "the":
return ""
else:
return word
| 22.857143 | 59 | 0.69375 | 40 | 320 | 5.225 | 0.7 | 0.114833 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007782 | 0.196875 | 320 | 13 | 60 | 24.615385 | 0.805447 | 0 | 0 | 0 | 0 | 0 | 0.009375 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.1 | 0 | 0.6 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6f6b28d63b93b95d61bab409bb560af9d95cf417 | 1,505 | py | Python | tornado_demo/web2py/applications/examples/controllers/global.py | ls-2018/tips | 1f5f5195d7181b5dd4616db02166f7f92c97f1cd | [
"MIT"
] | 2 | 2019-05-07T03:08:25.000Z | 2020-05-22T10:10:00.000Z | tornado_demo/web2py/applications/examples/controllers/global.py | ls-2018/tips | 1f5f5195d7181b5dd4616db02166f7f92c97f1cd | [
"MIT"
] | 7 | 2020-05-22T13:29:42.000Z | 2021-09-23T23:30:25.000Z | tornado_demo/web2py/applications/examples/controllers/global.py | ls-2018/py | 1f5f5195d7181b5dd4616db02166f7f92c97f1cd | [
"MIT"
] | null | null | null | session.forget()
def get(args):
if args[0].startswith('__'):
return None
try:
obj = globals(), get(args[0])
for k in range(1, len(args)):
obj = getattr(obj, args[k])
return obj
except:
return None
def vars():
"""the running controller function!"""
... | 27.363636 | 91 | 0.453821 | 167 | 1,505 | 3.934132 | 0.371257 | 0.100457 | 0.045662 | 0.021309 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016873 | 0.409302 | 1,505 | 54 | 92 | 27.87037 | 0.72216 | 0.021262 | 0 | 0.083333 | 0 | 0 | 0.063395 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0 | 0 | 0.125 | 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 |
6f6e858702c8ce5b6a0c7be5155f97db4b0d395c | 1,950 | py | Python | src/pyg_base/_zip.py | nclarey/pyg-base | a7b90ea2ad4d740d8e7f8c4a7c9d341d36373862 | [
"MIT"
] | null | null | null | src/pyg_base/_zip.py | nclarey/pyg-base | a7b90ea2ad4d740d8e7f8c4a7c9d341d36373862 | [
"MIT"
] | null | null | null | src/pyg_base/_zip.py | nclarey/pyg-base | a7b90ea2ad4d740d8e7f8c4a7c9d341d36373862 | [
"MIT"
] | 1 | 2022-01-03T21:56:14.000Z | 2022-01-03T21:56:14.000Z | from pyg_base._types import is_iterable
from pyg_base._loop import len0
__all__ = ['zipper', 'lens']
def lens(*values):
"""
measures (and enforces) a common length across all values
:Parameters:
----------------
*values : lists
Raises
------
ValueError
if you have values with... | 27.083333 | 118 | 0.510256 | 277 | 1,950 | 3.548736 | 0.270758 | 0.016277 | 0.024415 | 0.054934 | 0.2706 | 0.249237 | 0.167854 | 0.147508 | 0.114954 | 0.050865 | 0 | 0.064808 | 0.264103 | 1,950 | 71 | 119 | 27.464789 | 0.620209 | 0.578462 | 0 | 0 | 0 | 0 | 0.056515 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.125 | 0 | 0.4375 | 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 |
6f6e961109cfe080e1074fb4fb957b034dcf9958 | 1,997 | py | Python | cli/pawls/preprocessors/grobid.py | vtcaregorodtcev/pawls-1 | 32cfb7bc56edac2fe972467a1133a31ae901c727 | [
"Apache-2.0"
] | null | null | null | cli/pawls/preprocessors/grobid.py | vtcaregorodtcev/pawls-1 | 32cfb7bc56edac2fe972467a1133a31ae901c727 | [
"Apache-2.0"
] | 13 | 2022-02-17T06:05:44.000Z | 2022-03-17T02:47:49.000Z | cli/pawls/preprocessors/grobid.py | vtcaregorodtcev/pawls-1 | 32cfb7bc56edac2fe972467a1133a31ae901c727 | [
"Apache-2.0"
] | 2 | 2021-09-28T08:01:42.000Z | 2021-09-28T08:18:31.000Z | import json
from typing import List
import requests
from pawls.preprocessors.model import Page
def fetch_grobid_structure(pdf_file: str, grobid_host: str = "http://localhost:8070"):
files = {
"input": (pdf_file, open(pdf_file, "rb"), "application/pdf", {"Expires": "0"})
}
url = "{}/api/processPdf... | 31.203125 | 86 | 0.593891 | 232 | 1,997 | 4.987069 | 0.396552 | 0.042351 | 0.025929 | 0.039758 | 0.109767 | 0.069144 | 0.069144 | 0.069144 | 0.069144 | 0 | 0 | 0.011997 | 0.290436 | 1,997 | 63 | 87 | 31.698413 | 0.804517 | 0.190285 | 0 | 0.044444 | 0 | 0 | 0.123653 | 0.016487 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.088889 | 0 | 0.222222 | 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 |
6f6fd6c2d42d2b9282a1e6483b23196da4a8aeeb | 2,614 | py | Python | scripts/run_custom_eslint_tests.py | lheureuxe13/oppia | 7110e3e5d5a53527c31d7b33e14d25e8d5b981f9 | [
"Apache-2.0"
] | 4 | 2021-09-16T16:46:53.000Z | 2022-02-06T13:00:14.000Z | scripts/run_custom_eslint_tests.py | lheureuxe13/oppia | 7110e3e5d5a53527c31d7b33e14d25e8d5b981f9 | [
"Apache-2.0"
] | 80 | 2020-10-31T09:14:46.000Z | 2021-01-12T23:38:15.000Z | scripts/run_custom_eslint_tests.py | lheureuxe13/oppia | 7110e3e5d5a53527c31d7b33e14d25e8d5b981f9 | [
"Apache-2.0"
] | 1 | 2020-10-02T13:28:26.000Z | 2020-10-02T13:28:26.000Z | # coding: utf-8
#
# Copyright 2020 The Oppia Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requi... | 35.808219 | 74 | 0.649579 | 354 | 2,614 | 4.627119 | 0.409605 | 0.06044 | 0.078144 | 0.025641 | 0.113553 | 0.069597 | 0 | 0 | 0 | 0 | 0 | 0.013176 | 0.18707 | 2,614 | 72 | 75 | 36.305556 | 0.757647 | 0.281943 | 0 | 0.142857 | 0 | 0.047619 | 0.235135 | 0.136757 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02381 | false | 0.047619 | 0.190476 | 0 | 0.214286 | 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 |
6f6fddc36a83d5396bed90f0e96d5995bd58f9a5 | 6,274 | py | Python | nmpc_mhe/tst_algorithmsv2_nmpc_hi_t0115_setp.py | joycezyu/cappresse | 45b40d0e9202180a0a07e1c03960cf30b08a4557 | [
"BSD-3-Clause"
] | null | null | null | nmpc_mhe/tst_algorithmsv2_nmpc_hi_t0115_setp.py | joycezyu/cappresse | 45b40d0e9202180a0a07e1c03960cf30b08a4557 | [
"BSD-3-Clause"
] | null | null | null | nmpc_mhe/tst_algorithmsv2_nmpc_hi_t0115_setp.py | joycezyu/cappresse | 45b40d0e9202180a0a07e1c03960cf30b08a4557 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import print_function
from pyomo.environ import *
from pyomo.core.base import Constraint, Objective, Suffix, minimize
from pyomo.opt import ProblemFormat, SolverFactory
from nmpc_mhe.dync.NMPCGenv2 import NmpcGen
from nmpc_mhe.mods.bfb.nob5_hi_t import bfb_dae
from snap_shot import snap
import sys, os
i... | 36.690058 | 91 | 0.603602 | 1,010 | 6,274 | 3.580198 | 0.245545 | 0.02323 | 0.034845 | 0.029038 | 0.47594 | 0.426715 | 0.395741 | 0.362002 | 0.30531 | 0.231471 | 0 | 0.075378 | 0.230316 | 6,274 | 170 | 92 | 36.905882 | 0.673431 | 0.222665 | 0 | 0.258333 | 0 | 0 | 0.078322 | 0.009713 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.008333 | 0.083333 | 0 | 0.083333 | 0.033333 | 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 |
6f709ca217e6ed7e435bf5ff768925bbdc7d9c7c | 493 | py | Python | csvapi/security.py | quaxsze/csvapi | 7e5ab5839fb6cbf667c756798a55c9b719394602 | [
"MIT"
] | 15 | 2019-08-23T09:57:54.000Z | 2021-11-08T10:38:03.000Z | csvapi/security.py | quaxsze/csvapi | 7e5ab5839fb6cbf667c756798a55c9b719394602 | [
"MIT"
] | 36 | 2019-08-21T10:05:53.000Z | 2022-03-23T08:58:02.000Z | csvapi/security.py | opendatateam/csvapi | 4e4ea7167f7265782c8f654619b060dc04112392 | [
"MIT"
] | 1 | 2018-04-25T09:55:25.000Z | 2018-04-25T09:55:25.000Z | from urllib.parse import urlparse
from quart import current_app as app, request, jsonify
def filter_referrers():
filters = app.config.get('REFERRERS_FILTER')
if not filters:
return None
referrer = request.referrer
if referrer:
parsed = urlparse(referrer)
for filter in filters:... | 24.65 | 54 | 0.614604 | 54 | 493 | 5.555556 | 0.592593 | 0.066667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008721 | 0.302231 | 493 | 19 | 55 | 25.947368 | 0.863372 | 0 | 0 | 0.125 | 0 | 0 | 0.070994 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.125 | 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 |
6f722918045c200389c503a068fc9c4194103a3f | 9,679 | py | Python | tests/helper.py | nirs/python-manhole | 26821e083eefdc87492b13ebdd20ba000a616141 | [
"BSD-2-Clause"
] | null | null | null | tests/helper.py | nirs/python-manhole | 26821e083eefdc87492b13ebdd20ba000a616141 | [
"BSD-2-Clause"
] | null | null | null | tests/helper.py | nirs/python-manhole | 26821e083eefdc87492b13ebdd20ba000a616141 | [
"BSD-2-Clause"
] | null | null | null | from __future__ import print_function
import atexit
import errno
import logging
import os
import select
import signal
import sys
import time
from process_tests import setup_coverage
TIMEOUT = int(os.getenv('MANHOLE_TEST_TIMEOUT', 10))
SOCKET_PATH = '/tmp/manhole-socket'
OUTPUT = sys.__stdout__
def handle_sigterm(s... | 37.226923 | 116 | 0.510073 | 1,022 | 9,679 | 4.668297 | 0.227984 | 0.049046 | 0.047789 | 0.057011 | 0.36135 | 0.321945 | 0.24607 | 0.20918 | 0.191155 | 0.143785 | 0 | 0.017848 | 0.386404 | 9,679 | 259 | 117 | 37.370656 | 0.785486 | 0.025622 | 0 | 0.45339 | 0 | 0.004237 | 0.129775 | 0.026952 | 0 | 0 | 0 | 0 | 0.012712 | 1 | 0.029661 | false | 0.008475 | 0.097458 | 0 | 0.127119 | 0.114407 | 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 |
6f741a22f6b69a36890074cd2db8d9ec2d946c37 | 38,189 | py | Python | client/external/xp_tracker.py | Suirdna/OR-Origin | 8eb7d99a87d835a7d590d56e0088ec79746f4630 | [
"MIT"
] | null | null | null | client/external/xp_tracker.py | Suirdna/OR-Origin | 8eb7d99a87d835a7d590d56e0088ec79746f4630 | [
"MIT"
] | null | null | null | client/external/xp_tracker.py | Suirdna/OR-Origin | 8eb7d99a87d835a7d590d56e0088ec79746f4630 | [
"MIT"
] | null | null | null | from client import exception, embed_creator, console_interface, discord_manager, file_manager, ini_manager, json_manager, origin, permissions, server_timer
from client.config import config as c, language as l
from discord.ext import commands, tasks
from client.external.hiscores import hiscores_xp
from PIL import Image,... | 52.601928 | 366 | 0.468224 | 3,900 | 38,189 | 4.408462 | 0.070256 | 0.020939 | 0.023847 | 0.033153 | 0.709882 | 0.65422 | 0.618333 | 0.593381 | 0.569709 | 0.541092 | 0 | 0.020576 | 0.420959 | 38,189 | 726 | 367 | 52.601928 | 0.75381 | 0.001859 | 0 | 0.560458 | 0 | 0.001634 | 0.073462 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.006536 | false | 0.003268 | 0.009804 | 0.003268 | 0.022876 | 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 |
6f75a1523bdd37ab1cd4cc70ef59345c182747bf | 1,437 | py | Python | days/01/part1.py | gr3yknigh1/aoc2021 | 55dca0685cc4213f0a14970ae9bfc882a59e82aa | [
"MIT"
] | null | null | null | days/01/part1.py | gr3yknigh1/aoc2021 | 55dca0685cc4213f0a14970ae9bfc882a59e82aa | [
"MIT"
] | null | null | null | days/01/part1.py | gr3yknigh1/aoc2021 | 55dca0685cc4213f0a14970ae9bfc882a59e82aa | [
"MIT"
] | null | null | null | from __future__ import annotations
import os
import collections
BASE_PATH = os.path.dirname(__file__)
INPUT_PATH = os.path.join(BASE_PATH, "input.txt")
OUTPUT_PATH = os.path.join(BASE_PATH, "output.txt")
def proceed_buffer(buffer: str) -> list[int]:
return [int(line) for line in buffer.splitlines()]
def mai... | 26.127273 | 69 | 0.599165 | 182 | 1,437 | 4.510989 | 0.351648 | 0.131547 | 0.079172 | 0.06821 | 0.177832 | 0.141291 | 0.087698 | 0.087698 | 0 | 0 | 0 | 0.00661 | 0.263048 | 1,437 | 54 | 70 | 26.611111 | 0.76865 | 0 | 0 | 0 | 0 | 0 | 0.135003 | 0.01531 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.078947 | 0.026316 | 0.184211 | 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 |
6f762afe905140cf74ce1d262513f6770e5cf96a | 1,314 | py | Python | leaflet_storage/management/commands/storagei18n.py | Biondilbiondo/django-leaflet-storage-concurrent-editing | 98cc3be7c74ea545ed8a75b9ae198acfcbba03a3 | [
"WTFPL"
] | null | null | null | leaflet_storage/management/commands/storagei18n.py | Biondilbiondo/django-leaflet-storage-concurrent-editing | 98cc3be7c74ea545ed8a75b9ae198acfcbba03a3 | [
"WTFPL"
] | null | null | null | leaflet_storage/management/commands/storagei18n.py | Biondilbiondo/django-leaflet-storage-concurrent-editing | 98cc3be7c74ea545ed8a75b9ae198acfcbba03a3 | [
"WTFPL"
] | null | null | null | import io
import os
from django.core.management.base import BaseCommand
from django.conf import settings
from django.contrib.staticfiles import finders
from django.template.loader import render_to_string
from django.utils.translation import to_locale
class Command(BaseCommand):
def handle(self, *args, **options... | 33.692308 | 79 | 0.542618 | 148 | 1,314 | 4.756757 | 0.452703 | 0.071023 | 0.039773 | 0.056818 | 0.042614 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002328 | 0.346271 | 1,314 | 38 | 80 | 34.578947 | 0.817229 | 0 | 0 | 0 | 0 | 0 | 0.124049 | 0.041857 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060606 | false | 0 | 0.212121 | 0 | 0.30303 | 0.121212 | 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 |
6f76bbd91ccc6729e6385bce7b0f809d9736e91f | 37,910 | py | Python | spikemetrics/metrics.py | MarineChap/spikemetrics | c83a2e1e12efab5d2987d38d129ee6862cb4a454 | [
"MIT"
] | null | null | null | spikemetrics/metrics.py | MarineChap/spikemetrics | c83a2e1e12efab5d2987d38d129ee6862cb4a454 | [
"MIT"
] | null | null | null | spikemetrics/metrics.py | MarineChap/spikemetrics | c83a2e1e12efab5d2987d38d129ee6862cb4a454 | [
"MIT"
] | null | null | null | # Copyright © 2019. Allen Institute. All rights reserved.
import numpy as np
import pandas as pd
from collections import OrderedDict
import math
import warnings
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis as LDA
from sklearn.neighbors import NearestNeighbors
from sklearn.metrics import silho... | 39.163223 | 120 | 0.603324 | 4,574 | 37,910 | 4.728902 | 0.114123 | 0.031253 | 0.01387 | 0.011003 | 0.407628 | 0.350763 | 0.277023 | 0.244568 | 0.211743 | 0.183033 | 0 | 0.008911 | 0.313242 | 37,910 | 967 | 121 | 39.203723 | 0.821855 | 0.27742 | 0 | 0.280088 | 0 | 0 | 0.031934 | 0.003193 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043764 | false | 0.002188 | 0.028446 | 0 | 0.118162 | 0.039387 | 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 |
6f76bcfc2a09b5cceb410578869827df3cb772bb | 23,746 | py | Python | pdpbox/pdp_plot_utils.py | flinder/PDPbox | b832e37f840ae885d39a0ba8ff458f4be27dcc65 | [
"MIT"
] | null | null | null | pdpbox/pdp_plot_utils.py | flinder/PDPbox | b832e37f840ae885d39a0ba8ff458f4be27dcc65 | [
"MIT"
] | null | null | null | pdpbox/pdp_plot_utils.py | flinder/PDPbox | b832e37f840ae885d39a0ba8ff458f4be27dcc65 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec
import copy
from .pdp_calc_utils import _sample_data, _find_onehot_actual, _find_closest
from sklearn.cluster import MiniBatchKMeans, KMeans
def _pdp_plot_title(n_grids, feature_name, ax, multi_flag, whi... | 40.730703 | 130 | 0.660111 | 3,420 | 23,746 | 4.313158 | 0.091228 | 0.069826 | 0.029422 | 0.029286 | 0.63955 | 0.559555 | 0.508643 | 0.464646 | 0.438004 | 0.417599 | 0 | 0.015965 | 0.232418 | 23,746 | 582 | 131 | 40.800687 | 0.793329 | 0.183526 | 0 | 0.298592 | 0 | 0 | 0.078561 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033803 | false | 0 | 0.019718 | 0 | 0.059155 | 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 |
6f79949d19627c5156b74487a315345109a1b4e7 | 2,327 | py | Python | egs/skl_historical_poly_regression_variable_window_overmqtt/client_mqtt_random.py | COMEA-TUAS/mcx-public | 8ff486739f5332d075aeaaf7ea5dd33a04857b5c | [
"MIT"
] | null | null | null | egs/skl_historical_poly_regression_variable_window_overmqtt/client_mqtt_random.py | COMEA-TUAS/mcx-public | 8ff486739f5332d075aeaaf7ea5dd33a04857b5c | [
"MIT"
] | null | null | null | egs/skl_historical_poly_regression_variable_window_overmqtt/client_mqtt_random.py | COMEA-TUAS/mcx-public | 8ff486739f5332d075aeaaf7ea5dd33a04857b5c | [
"MIT"
] | 1 | 2022-03-01T06:42:04.000Z | 2022-03-01T06:42:04.000Z | #!/usr/bin/env python3
"""Script for simulating IOT measurement stream to ModelConductor experiment."""
import pandas as pd
import numpy as np
import sqlalchemy as sqla
from datetime import datetime as dt
from time import sleep, time
import logging
import sys, os, asyncio
from hbmqtt.client import MQTTClient, Connect... | 33.724638 | 111 | 0.689729 | 323 | 2,327 | 4.786378 | 0.442724 | 0.023286 | 0.021345 | 0.03881 | 0.103493 | 0.05304 | 0.05304 | 0.05304 | 0.05304 | 0.05304 | 0 | 0.022117 | 0.183928 | 2,327 | 69 | 112 | 33.724638 | 0.791996 | 0.041255 | 0 | 0 | 0 | 0 | 0.174753 | 0.038634 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02 | false | 0 | 0.24 | 0 | 0.26 | 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 |
6f7aa07e116a65a70f05b7ef70691b8f299b021f | 694 | py | Python | 5/challenge2.py | roryeiffe/Adent-of-Code | 80f123663fcf04bf5f0d6733807b4a2dd53bc68c | [
"MIT"
] | null | null | null | 5/challenge2.py | roryeiffe/Adent-of-Code | 80f123663fcf04bf5f0d6733807b4a2dd53bc68c | [
"MIT"
] | null | null | null | 5/challenge2.py | roryeiffe/Adent-of-Code | 80f123663fcf04bf5f0d6733807b4a2dd53bc68c | [
"MIT"
] | null | null | null | import sys
import math
L = []
f = open(sys.argv[1],"r")
for item in f:
L.append(item.strip())
def find_id(sequence):
rows = sequence[:7]
seats = sequence[7:]
upper = 127
lower = 0
for letter in rows:
half = math.ceil((upper-lower)/2)
if letter == "F":
upper -= half
if letter == "B":
lower += half... | 13.09434 | 35 | 0.597983 | 119 | 694 | 3.445378 | 0.344538 | 0.078049 | 0.068293 | 0.082927 | 0.15122 | 0.15122 | 0.15122 | 0.15122 | 0 | 0 | 0 | 0.028791 | 0.24928 | 694 | 52 | 36 | 13.346154 | 0.758157 | 0 | 0 | 0.2 | 0 | 0 | 0.007205 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025 | false | 0 | 0.05 | 0 | 0.1 | 0.025 | 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 |
488a4b657eabc94e1d145860d1dd73207641241d | 2,890 | py | Python | Injector/injector.py | MateusGabi/Binary-Hacking-on-Super-Mario | e75292aee6b419aad2d8fe173c2fab85d9ce23ee | [
"MIT"
] | 1 | 2018-03-26T23:46:01.000Z | 2018-03-26T23:46:01.000Z | Injector/injector.py | MateusGabi/Binary-Hacking-on-Super-Mario | e75292aee6b419aad2d8fe173c2fab85d9ce23ee | [
"MIT"
] | 4 | 2018-03-24T15:41:12.000Z | 2018-04-08T23:49:35.000Z | Injector/injector.py | MateusGabi/Binary-Hacking-on-Super-Mario | e75292aee6b419aad2d8fe173c2fab85d9ce23ee | [
"MIT"
] | 1 | 2018-04-03T23:49:37.000Z | 2018-04-03T23:49:37.000Z | # -*- coding: utf-8 -*-
"""
Injector.
A partir de um arquivo binario, de uma tabela binaria gerada com o Finder,
e um arquivo de substituição, o Injector é capaz de injetar um texto
no binario trocando o texto in-game
O Injector faz automaticamente a adequação do tamanho do texto ao tamanho da caixa,
truncan... | 29.489796 | 96 | 0.565052 | 355 | 2,890 | 4.492958 | 0.402817 | 0.037618 | 0.042633 | 0.04326 | 0.106583 | 0.106583 | 0.106583 | 0.106583 | 0.06395 | 0.06395 | 0 | 0.010251 | 0.324913 | 2,890 | 97 | 97 | 29.793814 | 0.807278 | 0.157439 | 0 | 0 | 0 | 0 | 0.044659 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086207 | false | 0.017241 | 0.086207 | 0 | 0.189655 | 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 |
488d15bc02d47b9fb1ebe771ea194aa64ab3caea | 3,545 | py | Python | aio_logstash/formatter.py | SinaKhorami/aio-logstash | ac820bd683c79389bcc2750c753ea860eb35c686 | [
"MIT"
] | 4 | 2019-10-23T06:58:31.000Z | 2021-11-01T17:08:34.000Z | aio_logstash/formatter.py | SinaKhorami/aio-logstash | ac820bd683c79389bcc2750c753ea860eb35c686 | [
"MIT"
] | 1 | 2021-06-02T00:35:23.000Z | 2021-06-02T00:35:23.000Z | aio_logstash/formatter.py | SinaKhorami/aio-logstash | ac820bd683c79389bcc2750c753ea860eb35c686 | [
"MIT"
] | 1 | 2019-10-23T06:58:45.000Z | 2019-10-23T06:58:45.000Z | import abc
import json
import logging
import socket
import sys
import time
import aio_logstash
import traceback
from aio_logstash import constants
from datetime import datetime, date
class BaseFormatter(logging.Formatter):
def __init__(self, message_type='aio_logstash', fqdn=False):
super().__init__()
... | 29.297521 | 97 | 0.618336 | 394 | 3,545 | 5.263959 | 0.304569 | 0.037126 | 0.023144 | 0.023144 | 0.028447 | 0.028447 | 0 | 0 | 0 | 0 | 0 | 0.003908 | 0.278138 | 3,545 | 120 | 98 | 29.541667 | 0.806565 | 0 | 0 | 0.053191 | 0 | 0 | 0.064598 | 0.006488 | 0 | 0 | 0 | 0 | 0 | 1 | 0.106383 | false | 0.010638 | 0.106383 | 0.010638 | 0.37234 | 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 |
488df2d8a33bbefd7d27eb53f611e19d0eba095d | 18,352 | py | Python | .venv/lib/python2.7/site-packages/celery/events/cursesmon.py | MansoorHanif/FYP-web-app | 918008d3b5eedaa904f3e720296afde9d73ac3f4 | [
"BSD-3-Clause"
] | 4 | 2018-10-19T04:36:20.000Z | 2020-02-13T16:14:09.000Z | .venv/lib/python2.7/site-packages/celery/events/cursesmon.py | MansoorHanif/FYP-web-app | 918008d3b5eedaa904f3e720296afde9d73ac3f4 | [
"BSD-3-Clause"
] | 3 | 2020-02-11T23:03:45.000Z | 2021-06-10T18:05:11.000Z | oo/lib/python3.5/site-packages/celery/events/cursesmon.py | chunky2808/SPOJ-history-Django-App | 490c58b1593cd3626f0ddc27fdd09c6e8d1c56e1 | [
"MIT"
] | 1 | 2019-10-26T04:20:52.000Z | 2019-10-26T04:20:52.000Z | # -*- coding: utf-8 -*-
"""Graphical monitor of Celery events using curses."""
from __future__ import absolute_import, print_function, unicode_literals
import curses
import sys
import threading
from datetime import datetime
from itertools import count
from textwrap import wrap
from time import time
from math import c... | 33.797422 | 78 | 0.520325 | 2,064 | 18,352 | 4.484981 | 0.157461 | 0.024198 | 0.027655 | 0.008426 | 0.214972 | 0.172194 | 0.143243 | 0.117209 | 0.085881 | 0.068057 | 0 | 0.010652 | 0.375926 | 18,352 | 542 | 79 | 33.859779 | 0.797608 | 0.027245 | 0 | 0.237136 | 0 | 0.002237 | 0.044403 | 0.001403 | 0 | 0 | 0 | 0 | 0 | 1 | 0.082774 | false | 0.004474 | 0.03132 | 0.006711 | 0.210291 | 0.008949 | 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 |
488ea1167c4ff5c98e7760397218e331d094d166 | 1,705 | py | Python | features/extraction/3_extraction/feature_extractors/utilization.py | bayesimpact/readmission-risk | 5b0f6c93826601e2dbb9c8c276e92801772e17c4 | [
"Apache-2.0"
] | 19 | 2016-10-06T18:10:36.000Z | 2018-04-04T02:30:09.000Z | features/extraction/3_extraction/feature_extractors/utilization.py | BeaconLabs/readmission-risk | 5b0f6c93826601e2dbb9c8c276e92801772e17c4 | [
"Apache-2.0"
] | 2 | 2017-10-26T19:22:58.000Z | 2017-11-16T07:44:58.000Z | features/extraction/3_extraction/feature_extractors/utilization.py | bayesimpact/readmission-risk | 5b0f6c93826601e2dbb9c8c276e92801772e17c4 | [
"Apache-2.0"
] | 9 | 2016-11-15T14:13:20.000Z | 2021-12-19T20:27:58.000Z | """A feature extractor for patients' utilization."""
from __future__ import absolute_import
import logging
import pandas as pd
from sutter.lib import postgres
from sutter.lib.feature_extractor import FeatureExtractor
log = logging.getLogger('feature_extraction')
class UtilizationExtractor(FeatureExtractor):
... | 34.1 | 95 | 0.626979 | 213 | 1,705 | 4.807512 | 0.502347 | 0.03125 | 0.025391 | 0.027344 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011299 | 0.273314 | 1,705 | 49 | 96 | 34.795918 | 0.815174 | 0.281525 | 0 | 0 | 0 | 0 | 0.201695 | 0.044068 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.2 | 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 |
4893c3ed4760195e110268be8d490ec224a54ecd | 1,434 | py | Python | fastf1/tests/test_livetiming.py | JellybeanAsh/Fast-F1 | cf0cb20fdd3e89fdee3755097722db5ced3a23b5 | [
"MIT"
] | 690 | 2020-07-31T15:37:59.000Z | 2022-03-31T20:51:46.000Z | fastf1/tests/test_livetiming.py | JellybeanAsh/Fast-F1 | cf0cb20fdd3e89fdee3755097722db5ced3a23b5 | [
"MIT"
] | 90 | 2020-07-25T11:00:15.000Z | 2022-03-31T01:59:59.000Z | fastf1/tests/test_livetiming.py | JellybeanAsh/Fast-F1 | cf0cb20fdd3e89fdee3755097722db5ced3a23b5 | [
"MIT"
] | 68 | 2020-07-21T23:21:29.000Z | 2022-03-30T16:12:01.000Z | import os
from fastf1.core import Session, Weekend
from fastf1.livetiming.data import LiveTimingData
def test_file_loading_w_errors():
# load file with many errors and invalid data without crashing
livedata = LiveTimingData('fastf1/testing/reference_data/livedata/with_errors.txt')
livedata.load()
def t... | 34.142857 | 87 | 0.679219 | 177 | 1,434 | 5.39548 | 0.468927 | 0.092147 | 0.023037 | 0.037696 | 0.186387 | 0.117277 | 0.117277 | 0 | 0 | 0 | 0 | 0.046769 | 0.179916 | 1,434 | 41 | 88 | 34.97561 | 0.765306 | 0.094142 | 0 | 0.148148 | 0 | 0 | 0.273359 | 0.105019 | 0 | 0 | 0 | 0 | 0.148148 | 1 | 0.111111 | false | 0 | 0.111111 | 0 | 0.222222 | 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 |
48946b441f56097b2a5a11c0168a86635a484d94 | 1,768 | py | Python | src/plot/S0_read_jld2.py | OUCyf/NoiseCC | ad47e6894568bd007cd0425f766ba8aa243f83e1 | [
"MIT"
] | 4 | 2021-12-13T09:16:07.000Z | 2022-01-06T15:45:02.000Z | src/plot/S0_read_jld2.py | OUCyf/NoiseCC | ad47e6894568bd007cd0425f766ba8aa243f83e1 | [
"MIT"
] | null | null | null | src/plot/S0_read_jld2.py | OUCyf/NoiseCC | ad47e6894568bd007cd0425f766ba8aa243f83e1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Oct 21 20:09:08 2021
######################
##### read h5 ########
######################
# 1.read h5-file
h5_file = h5py.File(files[1],'r')
# 2.show all keys in h5-file
h5_file.keys()
# 3.循环读取所有 keys in h5-file
for key in h5_file.keys():
onekey =... | 19.644444 | 84 | 0.581448 | 290 | 1,768 | 3.396552 | 0.372414 | 0.081218 | 0.040609 | 0.024365 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.061184 | 0.140271 | 1,768 | 89 | 85 | 19.865169 | 0.586842 | 0.611425 | 0 | 0 | 0 | 0 | 0.23503 | 0.112275 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 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 |
4896e1b1c5caef0d1e5aee9a140b1ba801b67e72 | 6,704 | py | Python | src/test/test_pg_function.py | gyana/alembic_utils | a4bc7f5f025335faad7b178eb84ab78093e525ec | [
"MIT"
] | null | null | null | src/test/test_pg_function.py | gyana/alembic_utils | a4bc7f5f025335faad7b178eb84ab78093e525ec | [
"MIT"
] | null | null | null | src/test/test_pg_function.py | gyana/alembic_utils | a4bc7f5f025335faad7b178eb84ab78093e525ec | [
"MIT"
] | null | null | null | from alembic_utils.pg_function import PGFunction
from alembic_utils.replaceable_entity import register_entities
from alembic_utils.testbase import TEST_VERSIONS_ROOT, run_alembic_command
TO_UPPER = PGFunction(
schema="public",
signature="toUpper(some_text text default 'my text!')",
definition="""
r... | 34.735751 | 100 | 0.702118 | 789 | 6,704 | 5.686946 | 0.174905 | 0.094718 | 0.064408 | 0.082015 | 0.670158 | 0.670158 | 0.656786 | 0.627814 | 0.587921 | 0.569646 | 0 | 0.002407 | 0.194511 | 6,704 | 192 | 101 | 34.916667 | 0.828519 | 0.103371 | 0 | 0.545455 | 0 | 0 | 0.215259 | 0.008515 | 0 | 0 | 0 | 0 | 0.14876 | 1 | 0.049587 | false | 0 | 0.041322 | 0 | 0.090909 | 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 |
4898793ace916333da3e62990ff5fb14ce91eb0e | 4,762 | py | Python | bin/mkSampleInfo.py | icbi-lab/nextNEOpi | d9f6ccf5178e7ef1742b95e740ce3f39405f21dd | [
"BSD-3-Clause-Clear"
] | 24 | 2021-06-16T07:20:43.000Z | 2022-03-23T05:40:01.000Z | bin/mkSampleInfo.py | abyssum/nextNEOpi | f7de4c76c7d98be485f8db0999ad278cd17fa642 | [
"BSD-3-Clause-Clear"
] | 2 | 2021-12-09T16:43:45.000Z | 2022-02-18T14:03:36.000Z | bin/mkSampleInfo.py | abyssum/nextNEOpi | f7de4c76c7d98be485f8db0999ad278cd17fa642 | [
"BSD-3-Clause-Clear"
] | 5 | 2021-08-25T06:54:47.000Z | 2022-03-03T06:11:31.000Z | #!/usr/bin/env python
"""
Requirements:
* Python >= 3.7
* Pysam
Copyright (c) 2021 Dietmar Rieder <dietmar.rieder@i-med.ac.at>
MIT License <http://opensource.org/licenses/MIT>
"""
RELEASE = False
__version_info__ = (
"0",
"1",
)
__version__ = ".".join(__version_info__)
__version__ += "-dev" if not ... | 26.309392 | 77 | 0.545569 | 589 | 4,762 | 4.108659 | 0.193548 | 0.072314 | 0.03719 | 0.018595 | 0.386777 | 0.347934 | 0.251653 | 0.226033 | 0.169421 | 0.143802 | 0 | 0.009934 | 0.302394 | 4,762 | 180 | 78 | 26.455556 | 0.718543 | 0.061949 | 0 | 0.204225 | 0 | 0 | 0.174725 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035211 | false | 0 | 0.021127 | 0 | 0.084507 | 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 |
489a6ae22cd0b248814c3b6aa65494aabadf9db8 | 3,115 | py | Python | garrick.py | SebNickel/garrick | b2ebf24054bc2770ced1674bd102022f8d01b169 | [
"MIT"
] | null | null | null | garrick.py | SebNickel/garrick | b2ebf24054bc2770ced1674bd102022f8d01b169 | [
"MIT"
] | null | null | null | garrick.py | SebNickel/garrick | b2ebf24054bc2770ced1674bd102022f8d01b169 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import sys
import colorama
from pick_db_file import pick_db_file
import db_connection
import card_repository
from review_cards import review_cards
from new_card import new_card
from new_cards import new_cards
import review
from user_colors import print_info, print_instruction, print_error
from usa... | 40.454545 | 97 | 0.65618 | 461 | 3,115 | 4.193059 | 0.219089 | 0.061562 | 0.066218 | 0.074496 | 0.509053 | 0.45732 | 0.361097 | 0.321262 | 0.294361 | 0.294361 | 0 | 0.010678 | 0.218299 | 3,115 | 76 | 98 | 40.986842 | 0.783162 | 0.012841 | 0 | 0 | 0 | 0 | 0.172144 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.015385 | false | 0 | 0.169231 | 0 | 0.184615 | 0.184615 | 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 |
489b07c5f60a2349d39829b932ee2b381db5353d | 14,996 | py | Python | perceiver/train/dataset.py | kawa-work/deepmind-research | 8fb75643598f680fdde8d20342b1b82bd2c0abb2 | [
"Apache-2.0"
] | 10,110 | 2019-08-27T20:05:30.000Z | 2022-03-31T16:31:56.000Z | perceiver/train/dataset.py | subhayuroy/deepmind-research | 769bfdbeafbcb472cb8e2c6cfa746b53ac82efc2 | [
"Apache-2.0"
] | 317 | 2019-11-09T10:19:10.000Z | 2022-03-31T00:05:19.000Z | perceiver/train/dataset.py | subhayuroy/deepmind-research | 769bfdbeafbcb472cb8e2c6cfa746b53ac82efc2 | [
"Apache-2.0"
] | 2,170 | 2019-08-28T12:53:36.000Z | 2022-03-31T13:15:11.000Z | # Copyright 2021 DeepMind Technologies Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | 35.367925 | 80 | 0.684449 | 2,199 | 14,996 | 4.451569 | 0.196453 | 0.023496 | 0.011033 | 0.013587 | 0.268873 | 0.231893 | 0.187353 | 0.155378 | 0.128001 | 0.108081 | 0 | 0.02555 | 0.190918 | 14,996 | 423 | 81 | 35.451537 | 0.781258 | 0.197119 | 0 | 0.208481 | 0 | 0 | 0.045172 | 0 | 0 | 0 | 0 | 0 | 0.010601 | 1 | 0.060071 | false | 0 | 0.028269 | 0.007067 | 0.166078 | 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 |
489b33857f5199eb9d0dc568f0aa601495f6f304 | 12,621 | py | Python | pyapprox/manipulate_polynomials.py | samtx/pyapprox | c926d910e30fbcfed7d0621175d3b0268d59f852 | [
"MIT"
] | null | null | null | pyapprox/manipulate_polynomials.py | samtx/pyapprox | c926d910e30fbcfed7d0621175d3b0268d59f852 | [
"MIT"
] | null | null | null | pyapprox/manipulate_polynomials.py | samtx/pyapprox | c926d910e30fbcfed7d0621175d3b0268d59f852 | [
"MIT"
] | null | null | null | import numpy as np
from scipy.special import factorial
from pyapprox.indexing import hash_array
from pyapprox.indexing import compute_hyperbolic_level_indices
def multiply_multivariate_polynomials(indices1,coeffs1,indices2,coeffs2):
"""
TODO: instead of using dictionary to colect terms consider using
uniqu... | 32.44473 | 120 | 0.659853 | 1,707 | 12,621 | 4.688928 | 0.135911 | 0.021864 | 0.022489 | 0.013493 | 0.391054 | 0.322089 | 0.286732 | 0.267866 | 0.220765 | 0.205522 | 0 | 0.017811 | 0.239284 | 12,621 | 388 | 121 | 32.528351 | 0.815853 | 0.356152 | 0 | 0.203209 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005155 | 0.096257 | 1 | 0.069519 | false | 0 | 0.02139 | 0 | 0.160428 | 0.005348 | 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 |
489cc2435903d89dac82418e6c3f47ec952a38f4 | 12,303 | py | Python | core/data/load_data.py | Originofamonia/mcan-vqa | e7e9fdc654d72dbbcbc03e43ae8a59c16b6d10d1 | [
"Apache-2.0"
] | null | null | null | core/data/load_data.py | Originofamonia/mcan-vqa | e7e9fdc654d72dbbcbc03e43ae8a59c16b6d10d1 | [
"Apache-2.0"
] | null | null | null | core/data/load_data.py | Originofamonia/mcan-vqa | e7e9fdc654d72dbbcbc03e43ae8a59c16b6d10d1 | [
"Apache-2.0"
] | null | null | null | # --------------------------------------------------------
# mcan-vqa (Deep Modular Co-Attention Networks)
# Licensed under The MIT License [see LICENSE for details]
# Written by Yuhao Cui https://github.com/cuiyuhao1996
# --------------------------------------------------------
import h5py
import pickle
import random
... | 42.71875 | 142 | 0.600992 | 1,706 | 12,303 | 4.032825 | 0.169402 | 0.057994 | 0.028779 | 0.023547 | 0.493895 | 0.466715 | 0.415407 | 0.381541 | 0.33314 | 0.298401 | 0 | 0.016435 | 0.263107 | 12,303 | 287 | 143 | 42.867596 | 0.742444 | 0.299846 | 0 | 0.329032 | 0 | 0 | 0.077313 | 0.003064 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058065 | false | 0 | 0.064516 | 0.012903 | 0.187097 | 0.070968 | 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 |
489e4aad3b2feb84feec86ee49098494b4522381 | 3,987 | py | Python | spyder/widgets/ipythonconsole/debugging.py | Bhanditz/spyder | 903ee4ace0f85ece730bcb670b1b92d464486f1a | [
"MIT"
] | 1 | 2019-06-12T17:31:10.000Z | 2019-06-12T17:31:10.000Z | spyder/widgets/ipythonconsole/debugging.py | Bhanditz/spyder | 903ee4ace0f85ece730bcb670b1b92d464486f1a | [
"MIT"
] | null | null | null | spyder/widgets/ipythonconsole/debugging.py | Bhanditz/spyder | 903ee4ace0f85ece730bcb670b1b92d464486f1a | [
"MIT"
] | 1 | 2019-01-16T06:51:50.000Z | 2019-01-16T06:51:50.000Z | # -*- coding: utf-8 -*-
#
# Copyright © Spyder Project Contributors
# Licensed under the terms of the MIT License
# (see spyder/__init__.py for details)
"""
Widget that handles communications between a console in debugging
mode and Spyder
"""
import ast
from qtpy.QtCore import Qt
from qtconsole.rich_jupyter_widget ... | 36.577982 | 80 | 0.600953 | 461 | 3,987 | 4.982646 | 0.37744 | 0.034828 | 0.041794 | 0.045712 | 0.208098 | 0.121898 | 0.09926 | 0.09926 | 0.09926 | 0 | 0 | 0.000703 | 0.286431 | 3,987 | 108 | 81 | 36.916667 | 0.806327 | 0.275897 | 0 | 0.258621 | 0 | 0 | 0.112514 | 0.044356 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12069 | false | 0.017241 | 0.051724 | 0 | 0.258621 | 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 |
48a016a1659ce678fbb42661714443c79c8a4486 | 9,848 | py | Python | code/scripts/train_fxns_nonimage.py | estherrolf/representation-matters | 502e351e21fc6b33aaa5c96b8c1409c76807f5a7 | [
"BSD-3-Clause"
] | 1 | 2021-11-28T09:29:33.000Z | 2021-11-28T09:29:33.000Z | code/scripts/train_fxns_nonimage.py | estherrolf/representation-matters | 502e351e21fc6b33aaa5c96b8c1409c76807f5a7 | [
"BSD-3-Clause"
] | null | null | null | code/scripts/train_fxns_nonimage.py | estherrolf/representation-matters | 502e351e21fc6b33aaa5c96b8c1409c76807f5a7 | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
import sklearn.metrics
from dataset_chunking_fxns import subsample_df_by_groups
import sklearn
import sklearn.linear_model
from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import StandardScaler
import time... | 39.870445 | 109 | 0.491166 | 1,047 | 9,848 | 4.312321 | 0.176695 | 0.056035 | 0.0268 | 0.012182 | 0.491694 | 0.398228 | 0.366556 | 0.351052 | 0.351052 | 0.343965 | 0 | 0.009639 | 0.431154 | 9,848 | 247 | 110 | 39.870445 | 0.796323 | 0.059504 | 0 | 0.475676 | 0 | 0 | 0.016005 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037838 | false | 0 | 0.048649 | 0 | 0.124324 | 0.032432 | 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 |
48a147ad6df1458c845aa4fd687c23becb0926e9 | 6,206 | py | Python | MITx-6.00.1x-EDX-Introduction-to-Computer-Science/Week-7/PSET-7/phraseTriggers.py | lilsweetcaligula/MIT6.00.1x | ee2902782a08ff685e388b2f40c09ea8c9c5fcfe | [
"MIT"
] | null | null | null | MITx-6.00.1x-EDX-Introduction-to-Computer-Science/Week-7/PSET-7/phraseTriggers.py | lilsweetcaligula/MIT6.00.1x | ee2902782a08ff685e388b2f40c09ea8c9c5fcfe | [
"MIT"
] | null | null | null | MITx-6.00.1x-EDX-Introduction-to-Computer-Science/Week-7/PSET-7/phraseTriggers.py | lilsweetcaligula/MIT6.00.1x | ee2902782a08ff685e388b2f40c09ea8c9c5fcfe | [
"MIT"
] | null | null | null | """
PSET-7
Part 2: Triggers (PhraseTriggers)
At this point, you have no way of writing a trigger that matches on
"New York City" -- the only triggers you know how to write would be
a trigger that would fire on "New" AND "York" AND "City" -- which
also fires on the phrase "New students at York University love the
c... | 41.099338 | 150 | 0.549468 | 663 | 6,206 | 5.131222 | 0.233786 | 0.058789 | 0.035567 | 0.049383 | 0.60729 | 0.546443 | 0.520576 | 0.520576 | 0.509406 | 0.509406 | 0 | 0.017294 | 0.36642 | 6,206 | 150 | 151 | 41.373333 | 0.847915 | 0.257493 | 0 | 0.588235 | 0 | 0 | 0.012746 | 0 | 0 | 0 | 0.003578 | 0 | 0 | 1 | 0.105882 | false | 0 | 0 | 0.011765 | 0.305882 | 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 |
48a22194d70cb5daa8b009c12fc1c26cc1c8d905 | 1,522 | py | Python | vault/tests/unit/test_views.py | Natan7/vault | ad0e9d5434dc59c9573afefef5e4eb390a7383ae | [
"Apache-2.0"
] | 1 | 2017-03-02T19:32:31.000Z | 2017-03-02T19:32:31.000Z | vault/tests/unit/test_views.py | Natan7/vault | ad0e9d5434dc59c9573afefef5e4eb390a7383ae | [
"Apache-2.0"
] | null | null | null | vault/tests/unit/test_views.py | Natan7/vault | ad0e9d5434dc59c9573afefef5e4eb390a7383ae | [
"Apache-2.0"
] | 2 | 2018-03-14T16:56:53.000Z | 2018-03-14T17:20:07.000Z | # -*- coding: utf-8 -*-
from unittest import TestCase
from mock import Mock, patch
from vault.tests.fakes import fake_request
from vault.views import SetProjectView
from django.utils.translation import ugettext as _
class SetProjectTest(TestCase):
def setUp(self):
self.view = SetProjectView.as_view()
... | 33.086957 | 78 | 0.704336 | 198 | 1,522 | 5.227273 | 0.343434 | 0.127536 | 0.057971 | 0.100483 | 0.514976 | 0.488889 | 0.454106 | 0.454106 | 0.454106 | 0.454106 | 0 | 0.008842 | 0.182654 | 1,522 | 45 | 79 | 33.822222 | 0.823151 | 0.013798 | 0 | 0.333333 | 0 | 0 | 0.074049 | 0 | 0 | 0 | 0 | 0 | 0.2 | 1 | 0.166667 | false | 0 | 0.166667 | 0 | 0.366667 | 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 |
48a2c6f00acb55753f06b34ad48a128100334441 | 2,364 | py | Python | qa/tasks/cephfs/test_dump_tree.py | rpratap-bot/ceph | 9834961a66927ae856935591f2fd51082e2ee484 | [
"MIT"
] | 4 | 2020-04-08T03:42:02.000Z | 2020-10-01T20:34:48.000Z | qa/tasks/cephfs/test_dump_tree.py | rpratap-bot/ceph | 9834961a66927ae856935591f2fd51082e2ee484 | [
"MIT"
] | 93 | 2020-03-26T14:29:14.000Z | 2020-11-12T05:54:55.000Z | qa/tasks/cephfs/test_dump_tree.py | rpratap-bot/ceph | 9834961a66927ae856935591f2fd51082e2ee484 | [
"MIT"
] | 23 | 2020-03-24T10:28:44.000Z | 2020-09-24T09:42:19.000Z | from tasks.cephfs.cephfs_test_case import CephFSTestCase
import random
import os
class TestDumpTree(CephFSTestCase):
def get_paths_to_ino(self):
inos = {}
p = self.mount_a.run_shell(["find", "./"])
paths = p.stdout.getvalue().strip().split()
for path in paths:
inos[path]... | 35.283582 | 76 | 0.571489 | 305 | 2,364 | 4.272131 | 0.252459 | 0.092095 | 0.061397 | 0.069839 | 0.485802 | 0.471988 | 0.4198 | 0.378358 | 0.221796 | 0.172678 | 0 | 0.005817 | 0.272843 | 2,364 | 66 | 77 | 35.818182 | 0.752182 | 0.016074 | 0 | 0.22449 | 0 | 0 | 0.11714 | 0.03273 | 0 | 0 | 0 | 0 | 0.061224 | 1 | 0.081633 | false | 0 | 0.061224 | 0 | 0.183673 | 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 |
48a598d9751db785f23d9a8e28422d557cff93bc | 966 | py | Python | catkin_ws/src/devel_scripts/stepper.py | AROMAeth/robo_code | d920adee8eb7ab285ba50aa31c71d631adc35480 | [
"MIT"
] | null | null | null | catkin_ws/src/devel_scripts/stepper.py | AROMAeth/robo_code | d920adee8eb7ab285ba50aa31c71d631adc35480 | [
"MIT"
] | null | null | null | catkin_ws/src/devel_scripts/stepper.py | AROMAeth/robo_code | d920adee8eb7ab285ba50aa31c71d631adc35480 | [
"MIT"
] | null | null | null |
import RPi.GPIO as GPIO
import time
GPIO.setmode(GPIO.BOARD)
control_pins = [7,11,13,15]
for pin in control_pins:
GPIO.setup(pin, GPIO.OUT)
GPIO.output(pin, 0)
halfstep_seq = [
[1,0,0,0],
[1,1,0,0],
[0,1,0,0],
[0,1,1,0],
[0,0,1,0],
[0,0,1,1],
[0,0,0,1],
[1,0,0,1]
]
# speed from 0 to 1 (one bei... | 18.576923 | 67 | 0.635611 | 186 | 966 | 3.236559 | 0.268817 | 0.043189 | 0.034884 | 0.039867 | 0.480066 | 0.480066 | 0.480066 | 0.480066 | 0.475083 | 0.475083 | 0 | 0.110546 | 0.1853 | 966 | 51 | 68 | 18.941176 | 0.654384 | 0.118012 | 0 | 0.235294 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.058824 | 0 | 0.117647 | 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 |
48a7ec0bb39b709f9863a091b7d85367791f1dab | 2,924 | py | Python | Experimental/OpenCVExp.py | awesomesauce12/6DBytes-CV | 8e48c6e629eedcd5098a0b0f8c90c48e38d5abf8 | [
"MIT"
] | 1 | 2016-06-24T23:09:43.000Z | 2016-06-24T23:09:43.000Z | Experimental/OpenCVExp.py | awesomesauce12/image-recognition | 8e48c6e629eedcd5098a0b0f8c90c48e38d5abf8 | [
"MIT"
] | null | null | null | Experimental/OpenCVExp.py | awesomesauce12/image-recognition | 8e48c6e629eedcd5098a0b0f8c90c48e38d5abf8 | [
"MIT"
] | null | null | null | import numpy as np
import cv2
import os
import math
os.system("fswebcam -r 507x456 --no-banner image11.jpg")
def showImage(capImg):
cv2.imshow('img', capImg)
cv2.waitKey(0)
cv2.destroyAllWindows()
img = cv2.imread('image11.jpg',-1)
height, width, channel = img.shape
topy= height
topx = width
hsv = cv2.cv... | 21.5 | 94 | 0.651505 | 475 | 2,924 | 3.974737 | 0.353684 | 0.038136 | 0.006356 | 0.014831 | 0.113877 | 0.020127 | 0 | 0 | 0 | 0 | 0 | 0.111997 | 0.141929 | 2,924 | 135 | 95 | 21.659259 | 0.640494 | 0.147743 | 0 | 0.130435 | 0 | 0 | 0.066566 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.021739 | false | 0 | 0.086957 | 0 | 0.108696 | 0.108696 | 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 |
48a8ac917e1b840d71d262dd221cf4cb43769865 | 902 | py | Python | optimism/ReadMesh.py | btalamini/optimism | 023e1b2a0b137900a7517e4c7ac5056255cf7bbe | [
"MIT"
] | null | null | null | optimism/ReadMesh.py | btalamini/optimism | 023e1b2a0b137900a7517e4c7ac5056255cf7bbe | [
"MIT"
] | 1 | 2022-03-12T00:01:12.000Z | 2022-03-12T00:01:12.000Z | optimism/ReadMesh.py | btalamini/optimism | 023e1b2a0b137900a7517e4c7ac5056255cf7bbe | [
"MIT"
] | 3 | 2021-12-23T19:53:31.000Z | 2022-03-27T23:12:03.000Z | import json
from optimism.JaxConfig import *
from optimism import Mesh
def read_json_mesh(meshFileName):
with open(meshFileName, 'r', encoding='utf-8') as jsonFile:
meshData = json.load(jsonFile)
coordinates = np.array(meshData['coordinates'])
connectivity = np.array(meshData['connectivi... | 31.103448 | 74 | 0.643016 | 98 | 902 | 5.846939 | 0.438776 | 0.061082 | 0.078534 | 0.08377 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004386 | 0.241685 | 902 | 28 | 75 | 32.214286 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0.058824 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.15 | 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 |
48a9df7987bdd5e6e1faa8cd6a7c8279d997c6ae | 1,058 | py | Python | networkx/algorithms/approximation/ramsey.py | rakschahsa/networkx | 6cac55b1064c3c346665f9281680fa3b66442ad0 | [
"BSD-3-Clause"
] | 445 | 2019-01-26T13:50:26.000Z | 2022-03-18T05:17:38.000Z | SLpackage/private/thirdparty/pythonpkgs/networkx/networkx_2.2/lib/python2.7/site-packages/networkx/algorithms/approximation/ramsey.py | fanglab/6mASCOPE | 3f1fdcb7693ff152f17623ce549526ec272698b1 | [
"BSD-3-Clause"
] | 242 | 2019-01-29T15:48:27.000Z | 2022-03-31T22:09:21.000Z | SLpackage/private/thirdparty/pythonpkgs/networkx/networkx_2.2/lib/python2.7/site-packages/networkx/algorithms/approximation/ramsey.py | fanglab/6mASCOPE | 3f1fdcb7693ff152f17623ce549526ec272698b1 | [
"BSD-3-Clause"
] | 31 | 2019-03-10T09:51:27.000Z | 2022-02-14T23:11:12.000Z | # -*- coding: utf-8 -*-
"""
Ramsey numbers.
"""
# Copyright (C) 2011 by
# Nicholas Mancuso <nick.mancuso@gmail.com>
# All rights reserved.
# BSD license.
import networkx as nx
from ...utils import arbitrary_element
__all__ = ["ramsey_R2"]
__author__ = """Nicholas Mancuso (nick.mancuso@gmail.com)"""
def ramse... | 24.604651 | 70 | 0.63138 | 155 | 1,058 | 4.135484 | 0.490323 | 0.049922 | 0.042122 | 0.081123 | 0.159126 | 0.106084 | 0 | 0 | 0 | 0 | 0 | 0.02448 | 0.227788 | 1,058 | 42 | 71 | 25.190476 | 0.760098 | 0.441399 | 0 | 0 | 0 | 0 | 0.093458 | 0.04486 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.125 | 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 |
48b05f987fe0e54d587244c5320a33f91ef59a44 | 10,824 | py | Python | robocorp-code/tests/robocorp_code_tests/fixtures.py | mardukbp/robotframework-lsp | 57b4b2b14b712c9bf90577924a920fb9b9e831c7 | [
"ECL-2.0",
"Apache-2.0"
] | 92 | 2020-01-22T22:15:29.000Z | 2022-03-31T05:19:16.000Z | robocorp-code/tests/robocorp_code_tests/fixtures.py | mardukbp/robotframework-lsp | 57b4b2b14b712c9bf90577924a920fb9b9e831c7 | [
"ECL-2.0",
"Apache-2.0"
] | 604 | 2020-01-25T17:13:27.000Z | 2022-03-31T18:58:24.000Z | robocorp-code/tests/robocorp_code_tests/fixtures.py | mardukbp/robotframework-lsp | 57b4b2b14b712c9bf90577924a920fb9b9e831c7 | [
"ECL-2.0",
"Apache-2.0"
] | 39 | 2020-02-06T00:38:06.000Z | 2022-03-15T06:14:19.000Z | import os
import pytest
from robocorp_ls_core.protocols import IConfigProvider
from robocorp_ls_core.robotframework_log import get_logger
from robocorp_ls_core.unittest_tools.cases_fixture import CasesFixture
from robocorp_code.protocols import IRcc, ActionResult
import sys
from typing import Any
from pathlib import ... | 30.490141 | 324 | 0.610957 | 1,149 | 10,824 | 5.508268 | 0.226284 | 0.032233 | 0.035393 | 0.036657 | 0.310792 | 0.239216 | 0.197346 | 0.173961 | 0.130036 | 0.062569 | 0 | 0.017501 | 0.282058 | 10,824 | 354 | 325 | 30.576271 | 0.796937 | 0.036585 | 0 | 0.233333 | 0 | 0 | 0.169947 | 0.031589 | 0 | 0 | 0 | 0 | 0.044444 | 1 | 0.077778 | false | 0 | 0.092593 | 0.014815 | 0.266667 | 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 |
48b0b31dabd46b83a7d8a1c53e2be4a3ab952b42 | 2,182 | py | Python | tensorflow_model_optimization/python/core/quantization/keras/quantize_emulatable_layer.py | akarmi/model-optimization | 2d3faaa361ecb3639f4a29da56e0e6ed52336318 | [
"Apache-2.0"
] | 1 | 2019-10-10T06:14:45.000Z | 2019-10-10T06:14:45.000Z | tensorflow_model_optimization/python/core/quantization/keras/quantize_emulatable_layer.py | akarmi/model-optimization | 2d3faaa361ecb3639f4a29da56e0e6ed52336318 | [
"Apache-2.0"
] | null | null | null | tensorflow_model_optimization/python/core/quantization/keras/quantize_emulatable_layer.py | akarmi/model-optimization | 2d3faaa361ecb3639f4a29da56e0e6ed52336318 | [
"Apache-2.0"
] | 1 | 2019-10-10T06:14:48.000Z | 2019-10-10T06:14:48.000Z | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 35.770492 | 80 | 0.706691 | 287 | 2,182 | 5.348432 | 0.473868 | 0.039088 | 0.033225 | 0.020847 | 0.181107 | 0.14202 | 0.14202 | 0.072964 | 0.072964 | 0.072964 | 0 | 0.004606 | 0.203941 | 2,182 | 60 | 81 | 36.366667 | 0.879102 | 0.770394 | 0 | 0.4 | 0 | 0 | 0.174807 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 0 | 0.5 | 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 |
48b322c1b5c9322a3e7a06f6f8cf4904f59abc42 | 1,373 | py | Python | GEN_cell_culture/phase_plotting.py | dezeraecox/GEN_cell_culture | 70ca933bef53347e916e20e6b86dc9dc9da11825 | [
"MIT"
] | null | null | null | GEN_cell_culture/phase_plotting.py | dezeraecox/GEN_cell_culture | 70ca933bef53347e916e20e6b86dc9dc9da11825 | [
"MIT"
] | 1 | 2019-08-04T22:44:54.000Z | 2019-08-04T22:44:54.000Z | GEN_cell_culture/phase_plotting.py | dezeraecox/GEN_cell_culture | 70ca933bef53347e916e20e6b86dc9dc9da11825 | [
"MIT"
] | null | null | null | import os
import re
import string
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
from GEN_Utils import FileHandling
from loguru import logger
logger.info("Import OK")
# Set sample-specific variables
input_path = 'examples/python/gauss_models/'
output_path = 'examples/py... | 27.46 | 73 | 0.718135 | 223 | 1,373 | 4.300448 | 0.475336 | 0.04171 | 0.037539 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019183 | 0.12673 | 1,373 | 49 | 74 | 28.020408 | 0.780651 | 0.095412 | 0 | 0 | 0 | 0 | 0.20291 | 0.088925 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.285714 | 0 | 0.285714 | 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 |
48b5904c4c46f166269a35d1d5aae2ecfb57bef7 | 765 | py | Python | Lib/icecreamscrape/__main__.py | kdwatt15/icecreamscrape | aefe18d795bb9ae8daabda7f8e26653df7d47c44 | [
"MIT"
] | null | null | null | Lib/icecreamscrape/__main__.py | kdwatt15/icecreamscrape | aefe18d795bb9ae8daabda7f8e26653df7d47c44 | [
"MIT"
] | 1 | 2020-06-07T17:56:13.000Z | 2020-06-07T17:56:13.000Z | Lib/icecreamscrape/__main__.py | kdwatt15/icecreamscrape | aefe18d795bb9ae8daabda7f8e26653df7d47c44 | [
"MIT"
] | null | null | null | # Standard imports
import sys
# Project imports
from icecreamscrape.cli import cli
from icecreamscrape.webdriver import driver_factory
from icecreamscrape import composites as comps
from icecreamscrape.composites import create_timestamped_dir
def main(args=sys.argv[1:]):
""" Main function. :param: args is used for ... | 24.677419 | 60 | 0.75817 | 103 | 765 | 5.368932 | 0.466019 | 0.130199 | 0.072333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003067 | 0.147712 | 765 | 30 | 61 | 25.5 | 0.845092 | 0.156863 | 0 | 0 | 0 | 0 | 0.012678 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0.263158 | 0 | 0.368421 | 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 |
48b8c62b25b3330d58b5291c6fc3a3f2df2e485f | 5,051 | py | Python | tests/models/programdb/mission/mission_unit_test.py | weibullguy/ramstk | 3ec41d7e2933045a7a8028aed6c6b04365495095 | [
"BSD-3-Clause"
] | 4 | 2018-08-26T09:11:36.000Z | 2019-05-24T12:01:02.000Z | tests/models/programdb/mission/mission_unit_test.py | weibullguy/ramstk | 3ec41d7e2933045a7a8028aed6c6b04365495095 | [
"BSD-3-Clause"
] | 52 | 2018-08-24T12:51:22.000Z | 2020-12-28T04:59:42.000Z | tests/models/programdb/mission/mission_unit_test.py | weibullguy/ramstk | 3ec41d7e2933045a7a8028aed6c6b04365495095 | [
"BSD-3-Clause"
] | 1 | 2018-10-11T07:57:55.000Z | 2018-10-11T07:57:55.000Z | # pylint: skip-file
# type: ignore
# -*- coding: utf-8 -*-
#
# tests.controllers.mission.mission_unit_test.py is part of The
# RAMSTK Project
#
# All rights reserved.
# Copyright since 2007 Doyle "weibullguy" Rowland doyle.rowland <AT> reliaqual <DOT> com
"""Test class for testing Mission module algorithms ... | 33.673333 | 88 | 0.713324 | 591 | 5,051 | 5.739425 | 0.252115 | 0.067807 | 0.080483 | 0.111439 | 0.416863 | 0.33638 | 0.254127 | 0.206073 | 0.193986 | 0.09434 | 0 | 0.005736 | 0.206098 | 5,051 | 149 | 89 | 33.899329 | 0.84015 | 0.219956 | 0 | 0.285714 | 0 | 0 | 0.147135 | 0.059896 | 0 | 0 | 0 | 0 | 0.285714 | 1 | 0.043956 | false | 0.010989 | 0.065934 | 0 | 0.340659 | 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 |
48b9335e8465f09c7a066bfa90b273be5d354b55 | 569 | py | Python | src/streamlink/packages/flashmedia/flv.py | RomanKornev/streamlink | acdefee0822b9c10628b91a166f9abe084e44800 | [
"BSD-2-Clause"
] | 5 | 2019-07-26T17:03:26.000Z | 2020-10-17T23:23:43.000Z | src/streamlink/packages/flashmedia/flv.py | RomanKornev/streamlink | acdefee0822b9c10628b91a166f9abe084e44800 | [
"BSD-2-Clause"
] | 9 | 2018-01-14T15:20:23.000Z | 2021-03-08T20:29:51.000Z | src/streamlink/packages/flashmedia/flv.py | bumplzz69/streamlink | 34abc43875d7663ebafa241573dece272e93d88b | [
"BSD-2-Clause"
] | 4 | 2018-01-14T13:27:25.000Z | 2021-11-15T22:28:30.000Z | #!/usr/bin/env python
from .error import FLVError
from .compat import is_py2
from .tag import Header, Tag
class FLV(object):
def __init__(self, fd=None, strict=False):
self.fd = fd
self.header = Header.deserialize(self.fd)
self.strict = strict
def __iter__(self):
return self
... | 18.966667 | 62 | 0.606327 | 71 | 569 | 4.549296 | 0.478873 | 0.074303 | 0.105263 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005 | 0.297012 | 569 | 29 | 63 | 19.62069 | 0.8025 | 0.035149 | 0 | 0 | 0 | 0 | 0.005474 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.157895 | false | 0 | 0.157895 | 0.052632 | 0.473684 | 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 |