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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
aef488759816cabfb40bd3b6063dcdfb1b53455d | 3,216 | py | Python | ane_research/utils/kendall_top_k.py | michaeljneely/sparse-attention-explanation | 658b181f67963fe22dd0489bd9b37bdbd05110c1 | [
"MIT"
] | 2 | 2020-03-25T22:13:09.000Z | 2021-01-06T04:28:03.000Z | ane_research/utils/kendall_top_k.py | michaeljneely/sparse-attention-explanation | 658b181f67963fe22dd0489bd9b37bdbd05110c1 | [
"MIT"
] | null | null | null | ane_research/utils/kendall_top_k.py | michaeljneely/sparse-attention-explanation | 658b181f67963fe22dd0489bd9b37bdbd05110c1 | [
"MIT"
] | null | null | null | '''Top-k kendall-tau distance.
This module generalise kendall-tau as defined in [1].
It returns a distance: 0 for identical (in the sense of top-k) lists and 1 if completely different.
Example:
Simply call kendall_top_k with two same-length arrays of ratings (or also rankings), length of the top elements k (defau... | 34.212766 | 204 | 0.634639 | 536 | 3,216 | 3.720149 | 0.270522 | 0.032096 | 0.027583 | 0.018054 | 0.430291 | 0.418255 | 0.411234 | 0.368104 | 0.338014 | 0.338014 | 0 | 0.036792 | 0.247823 | 3,216 | 93 | 205 | 34.580645 | 0.787516 | 0.557525 | 0 | 0.055556 | 0 | 0 | 0.029608 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027778 | false | 0 | 0.111111 | 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 |
aef7c4bd6270658e2d5f6a301a21f1fd8ae19292 | 619 | py | Python | test/math/test_matmul.py | ctgk/bayes | 96eab9305eaeecc5a5b032cdf92a8285de4f60bf | [
"MIT"
] | 21 | 2019-01-08T05:58:41.000Z | 2021-11-26T14:24:11.000Z | test/math/test_matmul.py | ctgk/bayes | 96eab9305eaeecc5a5b032cdf92a8285de4f60bf | [
"MIT"
] | null | null | null | test/math/test_matmul.py | ctgk/bayes | 96eab9305eaeecc5a5b032cdf92a8285de4f60bf | [
"MIT"
] | 11 | 2019-05-04T13:44:19.000Z | 2021-08-05T04:26:19.000Z | import unittest
import numpy as np
import bayesnet as bn
class TestMatMul(unittest.TestCase):
def test_matmul(self):
x = np.random.rand(10, 3)
y = np.random.rand(3, 5)
g = np.random.rand(10, 5)
xp = bn.Parameter(x)
z = xp @ y
self.assertTrue((z.value == x @ y).all(... | 22.925926 | 51 | 0.534733 | 91 | 619 | 3.538462 | 0.384615 | 0.173913 | 0.111801 | 0.086957 | 0.304348 | 0.304348 | 0.304348 | 0.304348 | 0.304348 | 0.304348 | 0 | 0.018519 | 0.3021 | 619 | 26 | 52 | 23.807692 | 0.726852 | 0 | 0 | 0.2 | 0 | 0 | 0.012924 | 0 | 0 | 0 | 0 | 0 | 0.2 | 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 |
aef90fca9fea526b2891e7df58b0f264aee383cd | 2,387 | py | Python | test.py | VegaSera/SWNDiscordBot2 | cb73b9d51591b6af9f2a1a603ea0dd8a7161020c | [
"MIT"
] | 2 | 2020-09-08T18:08:55.000Z | 2021-06-22T17:13:32.000Z | test.py | VegaSera/SWNDiscordBot2 | cb73b9d51591b6af9f2a1a603ea0dd8a7161020c | [
"MIT"
] | null | null | null | test.py | VegaSera/SWNDiscordBot2 | cb73b9d51591b6af9f2a1a603ea0dd8a7161020c | [
"MIT"
] | 1 | 2020-06-30T19:12:27.000Z | 2020-06-30T19:12:27.000Z |
class char:
def __init__(self):
self.str = 15
self.dex = 15
self.con = 14
self.wis = 15
self.int = 15
self.cha = 15
def raise_stat(self):
stats = [self.str, self.dex, self.con, self.int, self.wis, self.cha]
min_stat = min(stats)
for ind... | 27.436782 | 105 | 0.492669 | 305 | 2,387 | 3.780328 | 0.291803 | 0.036427 | 0.072853 | 0.078057 | 0.194276 | 0.194276 | 0.140503 | 0 | 0 | 0 | 0 | 0.052027 | 0.379975 | 2,387 | 87 | 106 | 27.436782 | 0.727027 | 0.40553 | 0 | 0.222222 | 0 | 0 | 0.032421 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088889 | false | 0 | 0 | 0 | 0.133333 | 0.111111 | 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 |
aeffe251e30362d499c33484220e03c6b09531a5 | 987 | py | Python | extracting_information/extract_payments.py | ErikOSorensen/mmrisk_instrument | 3a1bf587ec08362a4c24f8a40064142a5307c94c | [
"BSD-3-Clause"
] | null | null | null | extracting_information/extract_payments.py | ErikOSorensen/mmrisk_instrument | 3a1bf587ec08362a4c24f8a40064142a5307c94c | [
"BSD-3-Clause"
] | null | null | null | extracting_information/extract_payments.py | ErikOSorensen/mmrisk_instrument | 3a1bf587ec08362a4c24f8a40064142a5307c94c | [
"BSD-3-Clause"
] | null | null | null | from mmr2web.models import *
import datetime
def get_payments_file(nok_per_usd=9.1412):
"""Default exchange rate taken from Norges Bank, Nov 22, 2019."""
payments_out = open("payments_mmrisk.csv", "w")
payments_out.write("amount,message\n")
total_payment = 0
for s in Situation.objects.filter(selec... | 37.961538 | 105 | 0.637285 | 140 | 987 | 4.35 | 0.528571 | 0.07225 | 0.044335 | 0.052545 | 0.220033 | 0.220033 | 0.220033 | 0.220033 | 0.124795 | 0 | 0 | 0.030178 | 0.261398 | 987 | 25 | 106 | 39.48 | 0.805213 | 0.059777 | 0 | 0 | 0 | 0 | 0.265727 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.095238 | 0 | 0.190476 | 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 |
4e002a3d2a0b17bea2d95b12a32b8e97ea924162 | 1,488 | py | Python | tests/extmod/uasyncio_threadsafeflag.py | ProofDx/micropython | 321d1897c34f16243edf2c94913d7cf877a013d1 | [
"MIT"
] | 13,648 | 2015-01-01T01:34:51.000Z | 2022-03-31T16:19:53.000Z | tests/extmod/uasyncio_threadsafeflag.py | ProofDx/micropython | 321d1897c34f16243edf2c94913d7cf877a013d1 | [
"MIT"
] | 7,092 | 2015-01-01T07:59:11.000Z | 2022-03-31T23:52:18.000Z | tests/extmod/uasyncio_threadsafeflag.py | ProofDx/micropython | 321d1897c34f16243edf2c94913d7cf877a013d1 | [
"MIT"
] | 4,942 | 2015-01-02T11:48:50.000Z | 2022-03-31T19:57:10.000Z | # Test Event class
try:
import uasyncio as asyncio
except ImportError:
print("SKIP")
raise SystemExit
import micropython
try:
micropython.schedule
except AttributeError:
print("SKIP")
raise SystemExit
try:
# Unix port can't select/poll on user-defined types.
import uselect as selec... | 18.6 | 56 | 0.633065 | 192 | 1,488 | 4.869792 | 0.296875 | 0.057754 | 0.080214 | 0.117647 | 0.396791 | 0.255615 | 0.255615 | 0.255615 | 0.255615 | 0.255615 | 0 | 0.007048 | 0.237231 | 1,488 | 79 | 57 | 18.835443 | 0.81674 | 0.105511 | 0 | 0.589286 | 0 | 0 | 0.099623 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017857 | false | 0 | 0.071429 | 0 | 0.089286 | 0.357143 | 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 |
4e039a12924bbf9ee1073f9918fa1b333ccf4193 | 4,370 | py | Python | Python/biopsy/binding_hit.py | JohnReid/biopsy | 1eeb714ba5b53f2ecf776d865d32e2078cbc0338 | [
"MIT"
] | null | null | null | Python/biopsy/binding_hit.py | JohnReid/biopsy | 1eeb714ba5b53f2ecf776d865d32e2078cbc0338 | [
"MIT"
] | null | null | null | Python/biopsy/binding_hit.py | JohnReid/biopsy | 1eeb714ba5b53f2ecf776d865d32e2078cbc0338 | [
"MIT"
] | null | null | null | #
# Copyright John Reid 2006
#
from _biopsy import *
def _hit_str( hit ):
return ",".join( [
hit.binder,
str( hit.location.position ),
str( hit.location.positive_strand ),
str( hit.p_binding )
] )
Hit.__str__ = _hit_str
def _location_start( location ):
re... | 30.774648 | 113 | 0.643936 | 516 | 4,370 | 5.282946 | 0.209302 | 0.04292 | 0.024211 | 0.045488 | 0.285767 | 0.25055 | 0.216801 | 0.19369 | 0.168012 | 0.168012 | 0 | 0.017094 | 0.277117 | 4,370 | 141 | 114 | 30.992908 | 0.845837 | 0.240732 | 0 | 0.23913 | 0 | 0 | 0.051815 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.152174 | false | 0 | 0.01087 | 0.065217 | 0.336957 | 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 |
4e0443002a9f7388df8a4ecc7a67f5770910ff51 | 8,384 | py | Python | epithet/epithet.py | mitodl/epithet | 4f95054fbdfbae0e9d6db2e3309993d00a8a6867 | [
"MIT"
] | null | null | null | epithet/epithet.py | mitodl/epithet | 4f95054fbdfbae0e9d6db2e3309993d00a8a6867 | [
"MIT"
] | null | null | null | epithet/epithet.py | mitodl/epithet | 4f95054fbdfbae0e9d6db2e3309993d00a8a6867 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import click
from github import Github
from github.GithubException import RateLimitExceededException
def main():
cli(obj={})
def get_repos(key, org, repo, url):
if url:
g = Github(key, base_url=url)
else:
g = Github(key)
if org:
g_org = g.get_organizat... | 40.699029 | 89 | 0.532085 | 980 | 8,384 | 4.49898 | 0.109184 | 0.055115 | 0.040826 | 0.028578 | 0.687231 | 0.646859 | 0.608528 | 0.564981 | 0.54797 | 0.517804 | 0 | 0.000347 | 0.311904 | 8,384 | 205 | 90 | 40.897561 | 0.763911 | 0.002505 | 0 | 0.505319 | 0 | 0 | 0.1928 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037234 | false | 0.026596 | 0.015957 | 0 | 0.085106 | 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 |
4e04cfd6696b1d79b63702e52778fdde33cbdd79 | 1,876 | py | Python | Tarea1/utilities.py | aleluman/CC5114 | aae4ea9faf0a7cb3eb3bf53f8eecaf209aebf4d6 | [
"MIT"
] | null | null | null | Tarea1/utilities.py | aleluman/CC5114 | aae4ea9faf0a7cb3eb3bf53f8eecaf209aebf4d6 | [
"MIT"
] | null | null | null | Tarea1/utilities.py | aleluman/CC5114 | aae4ea9faf0a7cb3eb3bf53f8eecaf209aebf4d6 | [
"MIT"
] | null | null | null | import numpy as np
def normalize(matrix, nh=1, nl=0):
"""Normalizes each column in a matrix by calculating its maximum
and minimum values, the parameters nh and nl specify the final range
of the normalized values"""
return (matrix - matrix.min(0)) * ((nh - nl) / matrix.ptp(0)) + nl
def one_hot_encod... | 39.083333 | 99 | 0.695096 | 297 | 1,876 | 4.265993 | 0.340067 | 0.037885 | 0.026046 | 0.020521 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006757 | 0.211087 | 1,876 | 47 | 100 | 39.914894 | 0.849324 | 0.382729 | 0 | 0.074074 | 0 | 0 | 0.004509 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.148148 | false | 0 | 0.037037 | 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 |
4e051ec8fbfa4fdbb801b562f9028e2cec2f9219 | 1,304 | py | Python | tests/test_searcher.py | jrdelmar/cbis | 6cce46680555d622ecea88f2ee2721209810abbe | [
"MIT"
] | 1 | 2019-03-19T14:10:19.000Z | 2019-03-19T14:10:19.000Z | tests/test_searcher.py | jrdelmar/cbis | 6cce46680555d622ecea88f2ee2721209810abbe | [
"MIT"
] | 14 | 2020-01-28T22:38:54.000Z | 2022-03-11T23:43:34.000Z | tests/test_searcher.py | jrdelmar/cbis | 6cce46680555d622ecea88f2ee2721209810abbe | [
"MIT"
] | null | null | null | from pyimagesearch.searcher import Searcher
from pyimagesearch.utils import *
import pytest
indexPath = "D:/APP/cbis/"
verbose = True
#test Search class
@pytest.fixture
def searcher():
return Searcher(indexPath, verbose)
pred_file = "D://APP//cbis//tests//out//predictions_test.csv"
top_k = 20
def test_search_g... | 29.636364 | 78 | 0.713957 | 188 | 1,304 | 4.68617 | 0.244681 | 0.132804 | 0.085131 | 0.104427 | 0.533485 | 0.533485 | 0.533485 | 0.469921 | 0.400681 | 0.400681 | 0 | 0.027498 | 0.163344 | 1,304 | 43 | 79 | 30.325581 | 0.780018 | 0.013037 | 0 | 0.323529 | 0 | 0 | 0.119751 | 0.036547 | 0 | 0 | 0 | 0 | 0.264706 | 1 | 0.147059 | false | 0 | 0.088235 | 0.029412 | 0.264706 | 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 |
4e08b9785d412b27c9f6fb1800aa24f2a6fc367a | 9,484 | py | Python | ntfs.py | kartone/INDXRipper | 88e663115b8705b1bb153b28fd74f943c515b9ca | [
"MIT"
] | null | null | null | ntfs.py | kartone/INDXRipper | 88e663115b8705b1bb153b28fd74f943c515b9ca | [
"MIT"
] | null | null | null | ntfs.py | kartone/INDXRipper | 88e663115b8705b1bb153b28fd74f943c515b9ca | [
"MIT"
] | null | null | null | """
Provides functions for working with NTFS volumes
Author: Harel Segev
05/16/2020
"""
from construct import Struct, Padding, Computed, IfThenElse, BytesInteger, Const, Enum, Array, FlagsEnum, Switch, Tell
from construct import PaddedString, Pointer, Seek, Optional, StopIf, RepeatUntil, Padded
fro... | 33.75089 | 119 | 0.690953 | 1,034 | 9,484 | 6.077369 | 0.185687 | 0.063017 | 0.044558 | 0.022915 | 0.253978 | 0.173775 | 0.0993 | 0.038829 | 0.013367 | 0 | 0 | 0.016247 | 0.208245 | 9,484 | 280 | 120 | 33.871429 | 0.820615 | 0.00833 | 0 | 0.090909 | 0 | 0 | 0.153981 | 0.005491 | 0 | 0 | 0.002197 | 0 | 0 | 1 | 0.126263 | false | 0.005051 | 0.025253 | 0.055556 | 0.267677 | 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 |
4e0c94378cede26866700f316056f4a9b045008f | 486 | py | Python | writer.py | ZitRos/edu-text-analysis | a03f22f9c6e72e4cac4d38b9e963d1554cae35d0 | [
"MIT"
] | 9 | 2017-11-28T22:42:06.000Z | 2021-01-27T05:05:52.000Z | writer.py | ZitRos/edu-text-analysis | a03f22f9c6e72e4cac4d38b9e963d1554cae35d0 | [
"MIT"
] | null | null | null | writer.py | ZitRos/edu-text-analysis | a03f22f9c6e72e4cac4d38b9e963d1554cae35d0 | [
"MIT"
] | 1 | 2022-02-08T21:55:29.000Z | 2022-02-08T21:55:29.000Z | import xlsxwriter
from slugify import slugify
import os
def write_to_xlsx(filename, title="Worksheet", data=None):
directory = os.path.dirname(filename)
if not os.path.exists(directory):
os.makedirs(directory)
workbook = xlsxwriter.Workbook(filename)
worksheet = workbook.add_worksheet(slugify(title)[:28])
row_... | 24.3 | 58 | 0.746914 | 71 | 486 | 4.985915 | 0.450704 | 0.067797 | 0.050847 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014493 | 0.148148 | 486 | 19 | 59 | 25.578947 | 0.84058 | 0 | 0 | 0 | 0 | 0 | 0.018519 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.176471 | 0 | 0.235294 | 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 |
4e0ca604df69608c9b3245228eab46db3a285865 | 4,251 | py | Python | src/4. Ajuste de curvas/Metodos/MC_multilineal.py | thonyblaz/Numerical-Methods | fdeccb9e2eba4a1eb7892ab3a55bd6169c430502 | [
"MIT"
] | 1 | 2021-04-24T20:47:26.000Z | 2021-04-24T20:47:26.000Z | src/4. Ajuste de curvas/Metodos/MC_multilineal.py | Desarrollador2021/Numerical-Methods | fdeccb9e2eba4a1eb7892ab3a55bd6169c430502 | [
"MIT"
] | null | null | null | src/4. Ajuste de curvas/Metodos/MC_multilineal.py | Desarrollador2021/Numerical-Methods | fdeccb9e2eba4a1eb7892ab3a55bd6169c430502 | [
"MIT"
] | 1 | 2021-04-24T20:47:03.000Z | 2021-04-24T20:47:03.000Z |
import numpy as np
def sisEcua(mat_A, mat_B):
a_inv = np.linalg.inv(mat_A)
C = a_inv.dot(mat_B.T)
return C
def matrices(sm, smm, smy, smn, datos, cant_datos):
dimension = datos+1
s = (dimension, dimension)
mat_A = np.zeros(s)
mat_B = np.matrix(smy)
# contadores
n = len(smn)
... | 28.152318 | 71 | 0.584098 | 713 | 4,251 | 3.302945 | 0.225806 | 0.018684 | 0.038641 | 0.018684 | 0.180042 | 0.128238 | 0.123567 | 0.089172 | 0.049257 | 0.049257 | 0 | 0.086329 | 0.266996 | 4,251 | 150 | 72 | 28.34 | 0.669448 | 0.092919 | 0 | 0 | 0 | 0 | 0.066834 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.036585 | false | 0 | 0.012195 | 0 | 0.073171 | 0.060976 | 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 |
4e14a820dce8b0c05972db39e72bc127d5d06743 | 3,550 | py | Python | vcf_reader.py | ZhiGroup/ROH-DICE | 5a2edfd04e285fe1f40bb199117c03a33b176984 | [
"MIT"
] | 1 | 2021-09-01T15:46:26.000Z | 2021-09-01T15:46:26.000Z | vcf_reader.py | ZhiGroup/ROH-DICE | 5a2edfd04e285fe1f40bb199117c03a33b176984 | [
"MIT"
] | 1 | 2021-05-21T13:13:55.000Z | 2021-05-25T17:56:06.000Z | vcf_reader.py | ZhiGroup/ROH-DICE | 5a2edfd04e285fe1f40bb199117c03a33b176984 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# =============================================================================
# Created By : Ardalan Naseri
# Created Date: Mon September 21 2020
# =============================================================================
"""The module is a VCF reader to parse input... | 31.415929 | 117 | 0.468169 | 411 | 3,550 | 3.861314 | 0.231144 | 0.079395 | 0.114682 | 0.05041 | 0.131065 | 0.076244 | 0.032766 | 0 | 0 | 0 | 0 | 0.023842 | 0.385634 | 3,550 | 112 | 118 | 31.696429 | 0.703806 | 0.089014 | 0 | 0.261364 | 0 | 0 | 0.007757 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.022727 | 0 | 0.147727 | 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 |
4e15597d3a91189d8d9a4e8575fb172c9d0972ad | 2,865 | py | Python | neighbor/tests.py | Elianehbmna/Neighborhood | 3e684fe813904f10fca7f3ea8c71adb1f2bc6a3d | [
"MIT"
] | null | null | null | neighbor/tests.py | Elianehbmna/Neighborhood | 3e684fe813904f10fca7f3ea8c71adb1f2bc6a3d | [
"MIT"
] | 5 | 2020-02-12T03:17:58.000Z | 2021-09-08T01:23:33.000Z | neighbor/tests.py | Elianehbmna/Neighbourhood | 3e684fe813904f10fca7f3ea8c71adb1f2bc6a3d | [
"MIT"
] | null | null | null | from django.test import TestCase
from django.contrib.auth.models import User
from .models import Profile, Neighbourhood, Post, Business
# Create your tests here.
class ProfileTestClass(TestCase):
'''
Test case for the Profile class
'''
def setUp(self):
'''
Method that creates an inst... | 26.045455 | 89 | 0.622339 | 345 | 2,865 | 5.072464 | 0.22029 | 0.068571 | 0.041143 | 0.04 | 0.490857 | 0.386857 | 0.301143 | 0.301143 | 0.301143 | 0.301143 | 0 | 0 | 0.282373 | 2,865 | 109 | 90 | 26.284404 | 0.851167 | 0.261431 | 0 | 0.35 | 0 | 0 | 0.046809 | 0 | 0 | 0 | 0 | 0 | 0.1 | 1 | 0.2 | false | 0 | 0.075 | 0 | 0.35 | 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 |
4e1a4e1f3d76e5fdbb618878f0f9c68ef36c94ef | 13,944 | py | Python | src/flintfiller/dataframe_to_frame_parser.py | discipl/flintfiller | 15d220c980a962ac2c4b7ac232f091666ab24e66 | [
"Apache-2.0"
] | null | null | null | src/flintfiller/dataframe_to_frame_parser.py | discipl/flintfiller | 15d220c980a962ac2c4b7ac232f091666ab24e66 | [
"Apache-2.0"
] | null | null | null | src/flintfiller/dataframe_to_frame_parser.py | discipl/flintfiller | 15d220c980a962ac2c4b7ac232f091666ab24e66 | [
"Apache-2.0"
] | null | null | null | """
Copyright (C) 2020 Nederlandse Organisatie voor Toegepast Natuur-
wetenschappelijk Onderzoek TNO / TNO, Netherlands Organisation for
applied scientific research
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You... | 41.748503 | 118 | 0.590863 | 1,763 | 13,944 | 4.514464 | 0.25865 | 0.030406 | 0.005277 | 0.00691 | 0.155547 | 0.102274 | 0.079281 | 0.063073 | 0.047493 | 0.029652 | 0 | 0.014638 | 0.270009 | 13,944 | 333 | 119 | 41.873874 | 0.767266 | 0.302137 | 0 | 0.143617 | 0 | 0 | 0.207934 | 0 | 0 | 0 | 0 | 0.003003 | 0 | 1 | 0.074468 | false | 0 | 0.021277 | 0.005319 | 0.154255 | 0.015957 | 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 |
4e1b7e1efb40a138e872299167e3dc139051bf3e | 4,677 | py | Python | tools/webcam/webcam_apis/nodes/mmdet_node.py | pallgeuer/mmpose | d3c17d5e6bdb9dbaca19f3bf53aa2802105355fd | [
"Apache-2.0"
] | null | null | null | tools/webcam/webcam_apis/nodes/mmdet_node.py | pallgeuer/mmpose | d3c17d5e6bdb9dbaca19f3bf53aa2802105355fd | [
"Apache-2.0"
] | null | null | null | tools/webcam/webcam_apis/nodes/mmdet_node.py | pallgeuer/mmpose | d3c17d5e6bdb9dbaca19f3bf53aa2802105355fd | [
"Apache-2.0"
] | null | null | null | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Union
import numpy as np
from .builder import NODES
from .node import MultiInputNode, Node
try:
from mmdet.apis import inference_detector, init_detector
has_mmdet = True
except (ImportError, ModuleNotFoundError):
has_mmdet... | 32.034247 | 79 | 0.584135 | 537 | 4,677 | 4.839851 | 0.26257 | 0.030781 | 0.0404 | 0.018469 | 0.259331 | 0.183147 | 0.183147 | 0.158523 | 0.158523 | 0.124663 | 0 | 0.002517 | 0.320505 | 4,677 | 145 | 80 | 32.255172 | 0.815293 | 0.092795 | 0 | 0.278846 | 0 | 0 | 0.044006 | 0.011418 | 0 | 0 | 0 | 0 | 0.038462 | 1 | 0.057692 | false | 0.009615 | 0.057692 | 0.009615 | 0.173077 | 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 |
4e1e6490f04076ef930623904d9e0fdabc66c26f | 1,325 | py | Python | gryphon/fsm/machine.py | vittorfp/labskit_cli | 28e109b4a9f36a03d499eb953e04a4fb787632fe | [
"MIT"
] | null | null | null | gryphon/fsm/machine.py | vittorfp/labskit_cli | 28e109b4a9f36a03d499eb953e04a4fb787632fe | [
"MIT"
] | 1 | 2022-03-08T14:54:26.000Z | 2022-03-08T15:02:52.000Z | gryphon/fsm/machine.py | vittorfp/labskit_cli | 28e109b4a9f36a03d499eb953e04a4fb787632fe | [
"MIT"
] | null | null | null |
class HaltSignal(Exception):
def __init__(self):
super().__init__()
class Machine:
def __init__(self, initial_state, possible_states):
self.history = [initial_state.name]
self.possible_states = possible_states
self.current_state = initial_state
def find_state_by_name(se... | 29.444444 | 87 | 0.636226 | 154 | 1,325 | 5.201299 | 0.344156 | 0.109863 | 0.1598 | 0.086142 | 0.092385 | 0.092385 | 0.092385 | 0 | 0 | 0 | 0 | 0.001042 | 0.275472 | 1,325 | 44 | 88 | 30.113636 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0.039305 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15625 | false | 0 | 0 | 0 | 0.28125 | 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 |
4e1ef7bc29a97c874523d2f21ef24ab69fc641da | 708 | py | Python | cursos_complementarios/estructuras_datos_lineales_python/modulo_II_arrays/utils/cube.py | EdinsonRequena/articicial-inteligence-and-data-science | 953566220e64cbd8f732c2667b818da807bb54c0 | [
"MIT"
] | 30 | 2020-06-19T16:21:04.000Z | 2022-02-19T01:48:39.000Z | cursos_complementarios/estructuras_datos_lineales_python/modulo_II_arrays/utils/cube.py | Samsuesca/articicial-inteligence-and-data-science | 953566220e64cbd8f732c2667b818da807bb54c0 | [
"MIT"
] | 87 | 2021-02-12T04:42:13.000Z | 2021-09-20T04:25:29.000Z | cursos_complementarios/estructuras_datos_lineales_python/modulo_II_arrays/utils/cube.py | Samsuesca/articicial-inteligence-and-data-science | 953566220e64cbd8f732c2667b818da807bb54c0 | [
"MIT"
] | 11 | 2020-08-13T04:04:01.000Z | 2022-01-20T20:10:43.000Z |
from .array import Array
from .grid import Grid
class Cube(object):
"""three-dimensional array"""
def __init__(self, nrows, ncols, deep, value=None) -> None:
"""Initializes the Cube with nrows, ncols, deep and optional value"""
self.data = Array(deep)
for i in range(deep):
... | 27.230769 | 77 | 0.574859 | 88 | 708 | 4.397727 | 0.431818 | 0.082687 | 0.072351 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.292373 | 708 | 25 | 78 | 28.32 | 0.772455 | 0.193503 | 0 | 0 | 0 | 0 | 0.003643 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.133333 | 0 | 0.533333 | 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 |
4e26c8f3d5348e863a10d16b62007dbfcaa204c5 | 1,126 | py | Python | setup.py | TimSusa/aptly-api-cli | 011ba8e7f464726b336b53f6b2cbdc4490b5180c | [
"MIT"
] | 17 | 2016-03-15T10:07:27.000Z | 2022-03-07T17:55:01.000Z | setup.py | TimSusa/aptly-api-cli | 011ba8e7f464726b336b53f6b2cbdc4490b5180c | [
"MIT"
] | 2 | 2016-03-15T12:50:58.000Z | 2018-04-17T03:45:17.000Z | setup.py | TimSusa/aptly-api-cli | 011ba8e7f464726b336b53f6b2cbdc4490b5180c | [
"MIT"
] | 5 | 2017-05-07T20:01:49.000Z | 2018-06-06T13:43:02.000Z | try:
from setuptools import setup, find_packages
from pkg_resources import Requirement, resource_filename
except ImportError:
from distutils.core import setup, find_packages
setup(
name='Aptly-Api-Cli',
version='0.1',
url='https://github.com/TimSusa/aptly_api_cli',
license='MIT',
keywor... | 33.117647 | 107 | 0.667851 | 141 | 1,126 | 5.12766 | 0.48227 | 0.143845 | 0.060858 | 0.06639 | 0.060858 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002167 | 0.180284 | 1,126 | 33 | 108 | 34.121212 | 0.781148 | 0.214032 | 0 | 0 | 0 | 0 | 0.338269 | 0.061503 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.16 | 0 | 0.16 | 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 |
4e27d12ca0167eeef14eeab8dc9bfe483d5dc2db | 417 | py | Python | 2018-04/2018-04-11.py | shangpf1/python_study | 6730519ce7b5cf4612e1c778ae5876cfbb748a4f | [
"MIT"
] | null | null | null | 2018-04/2018-04-11.py | shangpf1/python_study | 6730519ce7b5cf4612e1c778ae5876cfbb748a4f | [
"MIT"
] | null | null | null | 2018-04/2018-04-11.py | shangpf1/python_study | 6730519ce7b5cf4612e1c778ae5876cfbb748a4f | [
"MIT"
] | null | null | null |
class Employee:
def __init__(self,first,last,pay):
self.first = first
self.last = last
self.email = first+last+'@123.com'
self.pay = pay
def fullname(self):
return('{} {}'.format(self.first,self.last))
emp_1 = Employee('hello','world',1900)
emp_2 = Employee(... | 18.130435 | 52 | 0.606715 | 58 | 417 | 4.189655 | 0.396552 | 0.131687 | 0.106996 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.052632 | 0.22542 | 417 | 22 | 53 | 18.954545 | 0.69969 | 0 | 0 | 0 | 0 | 0 | 0.076923 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0 | 0.071429 | 0.214286 | 0.285714 | 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 |
4e298d0ad6de43261aab1a6d6e7529e6494b22c8 | 658 | py | Python | src/heatmap.py | JsPatenaude/INF8808_projet | 601a7505188f379365a32594b484cee3d924a52a | [
"MIT"
] | null | null | null | src/heatmap.py | JsPatenaude/INF8808_projet | 601a7505188f379365a32594b484cee3d924a52a | [
"MIT"
] | null | null | null | src/heatmap.py | JsPatenaude/INF8808_projet | 601a7505188f379365a32594b484cee3d924a52a | [
"MIT"
] | null | null | null | import plotly.express as px
from preprocess import PreprocessHeatmap
def get_figure(df):
pp = PreprocessHeatmap()
heatmap_df = pp.preprocess_heatmap(df)
hover_template = \
'''
<b style="font-size: 20px;>%{x}, %{y}h00</b>
<br>
<span style="font-size: 16px;>%{z:.0f} likes générés</span>
... | 26.32 | 63 | 0.62766 | 90 | 658 | 4.444444 | 0.611111 | 0.03 | 0.03 | 0.065 | 0.075 | 0.075 | 0 | 0 | 0 | 0 | 0 | 0.033399 | 0.226444 | 658 | 25 | 64 | 26.32 | 0.752456 | 0 | 0 | 0 | 0 | 0 | 0.124506 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.125 | 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 |
4e2a78cc73dc66dd46aa1290d150d2b082861993 | 13,985 | py | Python | client/forumgame.py | codingforhelp/fbserv | b09cc2ce20eaa3714e80d23e0f5741f144d2eed2 | [
"MIT"
] | 5 | 2019-01-31T08:09:53.000Z | 2020-04-13T22:48:25.000Z | client/forumgame.py | codingforhelp/fbserv | b09cc2ce20eaa3714e80d23e0f5741f144d2eed2 | [
"MIT"
] | 2 | 2021-04-30T21:04:37.000Z | 2021-06-01T23:42:18.000Z | client/forumgame.py | codingforhelp/fbserv | b09cc2ce20eaa3714e80d23e0f5741f144d2eed2 | [
"MIT"
] | 3 | 2019-08-04T07:51:58.000Z | 2022-02-25T13:39:30.000Z | from dom import e, Div, TextInput, Button, TextArea
from basicboard import BasicBoard
from connection import getconn
from utils import queryparams, random, setseed
mainseed = 80
class Forumnode(e):
def __init__(self, root, args = {}):
super().__init__("div")
self.root = root
... | 36.609948 | 125 | 0.512835 | 1,388 | 13,985 | 5.148415 | 0.198847 | 0.02239 | 0.038063 | 0.040022 | 0.133361 | 0.095018 | 0.014134 | 0.014134 | 0 | 0 | 0 | 0.012072 | 0.348445 | 13,985 | 382 | 126 | 36.609948 | 0.772169 | 0.002574 | 0 | 0.209302 | 0 | 0 | 0.096119 | 0.003084 | 0 | 0 | 0 | 0 | 0 | 1 | 0.104651 | false | 0.002907 | 0.011628 | 0 | 0.136628 | 0.005814 | 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 |
4e2ce6d71349214a1161e5b470a89bc7da49773f | 6,513 | py | Python | tests/mathbot_tests.py | RubyMarsden/Crayfish | 33bbb1248beec2fc40eee59e462711dd8cbc33da | [
"MIT"
] | null | null | null | tests/mathbot_tests.py | RubyMarsden/Crayfish | 33bbb1248beec2fc40eee59e462711dd8cbc33da | [
"MIT"
] | 8 | 2021-03-19T06:35:48.000Z | 2021-03-31T14:23:24.000Z | tests/mathbot_tests.py | RubyMarsden/Crayfish | 33bbb1248beec2fc40eee59e462711dd8cbc33da | [
"MIT"
] | null | null | null | import unittest
from models import settings
from models.mathbot import *
from models.settings import U238_DECAY_CONSTANT, U238_DECAY_CONSTANT_ERROR, TH232_DECAY_CONSTANT, \
TH232_DECAY_CONSTANT_ERROR
class MathbotTests(unittest.TestCase):
########################################
### Outlier resistant me... | 40.453416 | 111 | 0.634423 | 831 | 6,513 | 4.583634 | 0.139591 | 0.088737 | 0.084012 | 0.023103 | 0.580992 | 0.502232 | 0.47414 | 0.415857 | 0.375689 | 0.36545 | 0 | 0.081621 | 0.223092 | 6,513 | 160 | 112 | 40.70625 | 0.671146 | 0.028558 | 0 | 0.305556 | 0 | 0 | 0.001349 | 0 | 0 | 0 | 0 | 0 | 0.342593 | 1 | 0.175926 | false | 0 | 0.037037 | 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 |
4e2d4927d418a10f01fca137a00d8c7a207d49a7 | 2,748 | py | Python | flask_modular_auth/manager.py | fabian-rump/flask_modular_auth | 509def7b2cb366cba5d0d18187d99932c8ca00ef | [
"MIT"
] | null | null | null | flask_modular_auth/manager.py | fabian-rump/flask_modular_auth | 509def7b2cb366cba5d0d18187d99932c8ca00ef | [
"MIT"
] | null | null | null | flask_modular_auth/manager.py | fabian-rump/flask_modular_auth | 509def7b2cb366cba5d0d18187d99932c8ca00ef | [
"MIT"
] | null | null | null | from .abstract import AbstractAuthProvider, AbstractUnauthenticatedEntity
from .utils import _context_processor
from flask import _request_ctx_stack, has_request_context
class AuthManager:
def __init__(self, app=None, unauthorized_callback=None, unauthenticated_entity_class=None):
self._auth_providers = [... | 42.9375 | 157 | 0.71361 | 294 | 2,748 | 6.346939 | 0.292517 | 0.11254 | 0.139335 | 0.080386 | 0.144695 | 0.144695 | 0.103966 | 0.087889 | 0.087889 | 0.087889 | 0 | 0.00142 | 0.231441 | 2,748 | 63 | 158 | 43.619048 | 0.882102 | 0.098617 | 0 | 0.111111 | 0 | 0.022222 | 0.136288 | 0.026098 | 0 | 0 | 0 | 0 | 0 | 1 | 0.155556 | false | 0 | 0.066667 | 0 | 0.377778 | 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 |
4e30d02b5676aa65a9e86f44cc1848fd4a7d7bb2 | 13,400 | py | Python | models/iscnet/modules/relation_model.py | blakeyy/Relational-RfDNet | 72f4e35601e963c91515f40707174c0d79cb5403 | [
"MIT"
] | 1 | 2022-03-31T13:00:15.000Z | 2022-03-31T13:00:15.000Z | models/iscnet/modules/relation_model.py | blakeyy/Relational-RfDNet | 72f4e35601e963c91515f40707174c0d79cb5403 | [
"MIT"
] | null | null | null | models/iscnet/modules/relation_model.py | blakeyy/Relational-RfDNet | 72f4e35601e963c91515f40707174c0d79cb5403 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from net_utils.nn_distance import nn_distance
from net_utils.relation_tool import PositionalEmbedding
from models.registers import MODULES
from models.iscnet.modules.proposal_module import decode_scores
from configs.scannet_config... | 47.51773 | 172 | 0.592313 | 1,702 | 13,400 | 4.39953 | 0.143361 | 0.050748 | 0.048077 | 0.02938 | 0.461939 | 0.409322 | 0.363114 | 0.309028 | 0.279781 | 0.246795 | 0 | 0.025814 | 0.291716 | 13,400 | 282 | 173 | 47.517731 | 0.763144 | 0.278209 | 0 | 0.21519 | 0 | 0 | 0.050111 | 0.005827 | 0 | 0 | 0 | 0 | 0 | 1 | 0.050633 | false | 0 | 0.056962 | 0 | 0.14557 | 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 |
4e3154ae1d10762e4681a612915a4720d50696c7 | 1,760 | py | Python | ipware/descriptor.py | phi1010/django-ipware | 9d4e5f3b17e8669757ea9590e3e02580bd310634 | [
"MIT"
] | null | null | null | ipware/descriptor.py | phi1010/django-ipware | 9d4e5f3b17e8669757ea9590e3e02580bd310634 | [
"MIT"
] | null | null | null | ipware/descriptor.py | phi1010/django-ipware | 9d4e5f3b17e8669757ea9590e3e02580bd310634 | [
"MIT"
] | null | null | null | from enum import Enum, auto
from typing import List, Union, Callable
from ipaddress import IPv4Address, IPv4Network, IPv6Address, IPv6Network, ip_network, ip_address
from warnings import warn
class Order(Enum):
HEADER_APPENDED = auto()
HEADER_PREPENDED = auto()
class Header:
def __init__(self,
... | 38.26087 | 116 | 0.651136 | 215 | 1,760 | 5.186047 | 0.52093 | 0.049327 | 0.059193 | 0.078924 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022727 | 0.275 | 1,760 | 45 | 117 | 39.111111 | 0.851097 | 0.306818 | 0 | 0.142857 | 0 | 0 | 0.056636 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.142857 | 0 | 0.392857 | 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 |
4e31ecc86ddefaf67265db380dc7eba40617c43e | 2,333 | py | Python | locs/models/anisotropic_filter.py | mkofinas/locs | 4cb0ab9e989ebfee42d1d2850bdf3360336b5c1c | [
"MIT"
] | 16 | 2021-11-04T07:57:58.000Z | 2022-03-01T17:45:32.000Z | locs/models/anisotropic_filter.py | mkofinas/locs | 4cb0ab9e989ebfee42d1d2850bdf3360336b5c1c | [
"MIT"
] | null | null | null | locs/models/anisotropic_filter.py | mkofinas/locs | 4cb0ab9e989ebfee42d1d2850bdf3360336b5c1c | [
"MIT"
] | null | null | null | from torch import nn
import torch.nn.functional as F
from locs.models.activations import ACTIVATIONS
class AnisotropicEdgeFilter(nn.Module):
def __init__(self, in_size, pos_size, hidden_size, dummy_size, out_size,
act='elu', **kwargs):
super().__init__()
self.num_relative_feature... | 35.348485 | 77 | 0.629233 | 308 | 2,333 | 4.464286 | 0.253247 | 0.069818 | 0.04 | 0.083636 | 0.341818 | 0.286545 | 0.242909 | 0.242909 | 0.194909 | 0.087273 | 0 | 0.011021 | 0.261037 | 2,333 | 65 | 78 | 35.892308 | 0.786543 | 0.025289 | 0 | 0.264151 | 0 | 0 | 0.004409 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.113208 | false | 0 | 0.056604 | 0 | 0.245283 | 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 |
4e32180523c62ff4dfee0a5445151998ee1a7804 | 1,798 | py | Python | src/data_files/sample_data.py | gorried/hexgraph | b179e2fe0f8afc465ce92eac02f3cc2c4d1ac38e | [
"MIT"
] | null | null | null | src/data_files/sample_data.py | gorried/hexgraph | b179e2fe0f8afc465ce92eac02f3cc2c4d1ac38e | [
"MIT"
] | null | null | null | src/data_files/sample_data.py | gorried/hexgraph | b179e2fe0f8afc465ce92eac02f3cc2c4d1ac38e | [
"MIT"
] | null | null | null | #! /usr/bin/env python
"""
Daniel Gorrie
Large dataset sampler
"""
import random
import os
from os import listdir
from os.path import isfile, join
# Constants
INPUT_FILE = 'train.features'
INPUT_FILE_SIZE = 8352136
OUTPUT_FILE = 'train_small.features'
SAMPLE_SIZE = 110000
INPUT_LABEL_DIR = 'labels/'
OUTPUT_LABEL_DIR... | 24.630137 | 94 | 0.613459 | 251 | 1,798 | 4.191235 | 0.342629 | 0.059886 | 0.04943 | 0.036122 | 0.222433 | 0.222433 | 0.171103 | 0.171103 | 0.171103 | 0.171103 | 0 | 0.016813 | 0.305339 | 1,798 | 72 | 95 | 24.972222 | 0.82546 | 0.215795 | 0 | 0.277778 | 0 | 0 | 0.047482 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027778 | false | 0 | 0.111111 | 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 |
4e323ee929773b5d99e66e15ebdc6631d0480bf5 | 1,581 | py | Python | utils/uniprot.py | glycosciences/covid-19-Annotations-on-Structures | 3337bc5aec0ba79287ab0fd8c4763b15a4783378 | [
"MIT"
] | 2 | 2020-04-06T18:12:47.000Z | 2021-08-01T20:17:59.000Z | utils/uniprot.py | glycosciences/covid-19-Annotations-on-Structures | 3337bc5aec0ba79287ab0fd8c4763b15a4783378 | [
"MIT"
] | 20 | 2020-04-02T18:02:14.000Z | 2020-08-10T12:29:46.000Z | utils/uniprot.py | glycosciences/covid-19-Annotations-on-Structures | 3337bc5aec0ba79287ab0fd8c4763b15a4783378 | [
"MIT"
] | 9 | 2020-04-06T12:39:02.000Z | 2021-08-01T20:18:00.000Z | import re
import urllib.request
"""
Collection of handy functions related to uniprot. Potential reimplementations
of code that would be available in various packages with the goal of keeping
dependencies at a minimum.
"""
def valid_uniprot_ac_pattern(uniprot_ac):
"""
Checks whether Uniprot AC is formally cor... | 29.830189 | 85 | 0.655281 | 229 | 1,581 | 4.441048 | 0.49345 | 0.106195 | 0.00885 | 0.041298 | 0.255654 | 0.202557 | 0.143559 | 0.143559 | 0.143559 | 0.143559 | 0 | 0.016584 | 0.237192 | 1,581 | 52 | 86 | 30.403846 | 0.8267 | 0.268185 | 0 | 0.166667 | 0 | 0.083333 | 0.227421 | 0.073993 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.083333 | 0 | 0.291667 | 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 |
4e3b40be7c29c65a9fd22f72903754a1e504955c | 5,643 | py | Python | structures/solution/bar.py | EladSharony/Mechanics | 078f97bea84114fc1db6fe9700b92b96b18a0d5e | [
"MIT"
] | 24 | 2021-02-23T13:53:14.000Z | 2022-03-29T16:40:56.000Z | structures/solution/bar.py | EladSharony/Mechanics | 078f97bea84114fc1db6fe9700b92b96b18a0d5e | [
"MIT"
] | 2 | 2021-04-23T12:30:32.000Z | 2022-03-31T10:51:12.000Z | structures/solution/bar.py | EladSharony/Mechanics | 078f97bea84114fc1db6fe9700b92b96b18a0d5e | [
"MIT"
] | 12 | 2021-04-11T20:44:03.000Z | 2022-03-30T19:23:58.000Z | from geom2d import Segment, make_vector_between
from structures.model.bar import StrBar
from .node import StrNodeSolution
class StrBarSolution:
"""
A truss structure bar with the solution values included.
This class is a decorator of the original `StrBar` class that's
linked to the solution nodes, th... | 28.356784 | 67 | 0.608187 | 703 | 5,643 | 4.753912 | 0.200569 | 0.028725 | 0.027229 | 0.02693 | 0.327947 | 0.145123 | 0.088869 | 0.073609 | 0.052663 | 0.028725 | 0 | 0.000263 | 0.325359 | 5,643 | 198 | 68 | 28.5 | 0.877594 | 0.39837 | 0 | 0.294872 | 0 | 0 | 0.028088 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.192308 | false | 0 | 0.038462 | 0 | 0.435897 | 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 |
4e3df3a417c99ed4ce96f722ac39d7ce01ef8e82 | 219 | py | Python | baekjoon/1436/nth_666.py | ucyang/AlgoEx | 465c88f04b9449c06ee5c9a684ded5aba8ccf399 | [
"MIT"
] | null | null | null | baekjoon/1436/nth_666.py | ucyang/AlgoEx | 465c88f04b9449c06ee5c9a684ded5aba8ccf399 | [
"MIT"
] | null | null | null | baekjoon/1436/nth_666.py | ucyang/AlgoEx | 465c88f04b9449c06ee5c9a684ded5aba8ccf399 | [
"MIT"
] | null | null | null | import sys
input = lambda: sys.stdin.readline().rstrip()
n = int(input())
i = 666
c = 0
while True:
if str(i).find("666") != -1:
c += 1
if c == n:
print(i)
break
i += 1
| 14.6 | 45 | 0.452055 | 33 | 219 | 3 | 0.636364 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.073529 | 0.378995 | 219 | 14 | 46 | 15.642857 | 0.654412 | 0 | 0 | 0 | 0 | 0 | 0.013699 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.083333 | 0 | 0.083333 | 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 |
9d62368843928d090cd812f1e7a939bf13155d3f | 988 | py | Python | tests/mock_urllib.py | cedricduriau/PackagerBuddy | 3eda40cd1b72f030e4f02e38af452e6377b20148 | [
"MIT"
] | 1 | 2019-01-10T11:15:40.000Z | 2019-01-10T11:15:40.000Z | tests/mock_urllib.py | cedricduriau/PackagerBuddy | 3eda40cd1b72f030e4f02e38af452e6377b20148 | [
"MIT"
] | 6 | 2019-01-06T16:56:22.000Z | 2019-01-07T01:43:54.000Z | tests/mock_urllib.py | cedricduriau/PackagerBuddy | 3eda40cd1b72f030e4f02e38af452e6377b20148 | [
"MIT"
] | null | null | null | # stdlib modules
try:
from urllib.response import addinfourl
from urllib.error import HTTPError
from urllib.request import HTTPHandler
from io import StringIO
except ImportError:
from urllib2 import addinfourl, HTTPError, HTTPHandler
from StringIO import StringIO
def mock_response(req):
ur... | 29.058824 | 68 | 0.648785 | 113 | 988 | 5.628319 | 0.40708 | 0.04717 | 0.080189 | 0.044025 | 0.204403 | 0.204403 | 0.106918 | 0.106918 | 0.106918 | 0 | 0 | 0.013263 | 0.236842 | 988 | 33 | 69 | 29.939394 | 0.830239 | 0.01417 | 0 | 0.222222 | 0 | 0 | 0.118313 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.259259 | 0.037037 | 0.481481 | 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 |
9d6381be8993257224fb80b97034c3a236987a13 | 2,192 | py | Python | slickbird/web/hcollection.py | lpenz/slickbird | 1ad6c615be7edbc0c8c5abd97373058abea3d794 | [
"Apache-2.0"
] | null | null | null | slickbird/web/hcollection.py | lpenz/slickbird | 1ad6c615be7edbc0c8c5abd97373058abea3d794 | [
"Apache-2.0"
] | null | null | null | slickbird/web/hcollection.py | lpenz/slickbird | 1ad6c615be7edbc0c8c5abd97373058abea3d794 | [
"Apache-2.0"
] | null | null | null | '''Slickbird collection handler'''
import logging
import json
from tornado.web import URLSpec
import tornado.web
from slickbird import datparse
import slickbird.orm as orm
import slickbird
from slickbird.web import hbase
def _log():
if not _log.logger:
_log.logger = logging.getLogger(__name__)
ret... | 28.842105 | 78 | 0.570255 | 217 | 2,192 | 5.64977 | 0.391705 | 0.029364 | 0.046493 | 0.029364 | 0.039152 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001766 | 0.224909 | 2,192 | 75 | 79 | 29.226667 | 0.719835 | 0.02646 | 0 | 0.039216 | 0 | 0 | 0.110707 | 0.012474 | 0 | 0 | 0 | 0 | 0 | 1 | 0.098039 | false | 0 | 0.156863 | 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 |
9d664e109ebe34ba1e2952a24047d4157da5bc86 | 715 | py | Python | connected_devices.py | savlakaran/bluetooth-profile-manager | a485560cecd6668241539d7d7fa96756a1a8dc9f | [
"MIT"
] | null | null | null | connected_devices.py | savlakaran/bluetooth-profile-manager | a485560cecd6668241539d7d7fa96756a1a8dc9f | [
"MIT"
] | null | null | null | connected_devices.py | savlakaran/bluetooth-profile-manager | a485560cecd6668241539d7d7fa96756a1a8dc9f | [
"MIT"
] | null | null | null | import pydbus
bus = pydbus.SystemBus()
adapter = bus.get('org.bluez', '/org/bluez/hci0')
mngr = bus.get('org.bluez', '/')
def list_connected_devices():
connected = []
mngd_objs = mngr.GetManagedObjects()
for path in mngd_objs:
con_state = mngd_objs[path].get('org.bluez.Device1', {}).get('Connecte... | 31.086957 | 88 | 0.625175 | 89 | 715 | 4.808989 | 0.370787 | 0.11215 | 0.128505 | 0.10514 | 0.231308 | 0.231308 | 0.231308 | 0.231308 | 0 | 0 | 0 | 0.00703 | 0.204196 | 715 | 23 | 89 | 31.086957 | 0.745167 | 0 | 0 | 0 | 0 | 0 | 0.178771 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.055556 | 0 | 0.166667 | 0.055556 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9d66606d079a0a649bc4ef6dda1629c7be67e773 | 5,079 | py | Python | etl_base/etl_base/dags/acme/operators/file_operators.py | buckylee2019/sqlg-airflow | 37610a23b99bea8d9fdc8b066a01736ff2ff0c9d | [
"Apache-2.0"
] | null | null | null | etl_base/etl_base/dags/acme/operators/file_operators.py | buckylee2019/sqlg-airflow | 37610a23b99bea8d9fdc8b066a01736ff2ff0c9d | [
"Apache-2.0"
] | null | null | null | etl_base/etl_base/dags/acme/operators/file_operators.py | buckylee2019/sqlg-airflow | 37610a23b99bea8d9fdc8b066a01736ff2ff0c9d | [
"Apache-2.0"
] | 1 | 2022-03-10T03:47:35.000Z | 2022-03-10T03:47:35.000Z | # -*- coding: utf-8 -*-
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
... | 40.632 | 105 | 0.669817 | 713 | 5,079 | 4.535764 | 0.26648 | 0.059369 | 0.033395 | 0.024119 | 0.470006 | 0.46444 | 0.44094 | 0.426098 | 0.406926 | 0.406926 | 0 | 0.003159 | 0.252018 | 5,079 | 124 | 106 | 40.959677 | 0.848118 | 0.351644 | 0 | 0.46875 | 0 | 0 | 0.056333 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.109375 | 0 | 0.21875 | 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 |
9d675985cd1e3fa2d6a896298711a9c21776ae26 | 7,052 | py | Python | pyllusion/image/utilities.py | RebeccaHirst/Pyllusion | 9944076e38bced0eabb49c607482b71809150bdb | [
"MIT"
] | null | null | null | pyllusion/image/utilities.py | RebeccaHirst/Pyllusion | 9944076e38bced0eabb49c607482b71809150bdb | [
"MIT"
] | null | null | null | pyllusion/image/utilities.py | RebeccaHirst/Pyllusion | 9944076e38bced0eabb49c607482b71809150bdb | [
"MIT"
] | null | null | null | import numpy as np
import PIL.ImageColor, PIL.ImageFont
from .rescale import rescale
def _rgb(x):
"""Convert 0-1 values to RGB 0-255 values.
"""
return rescale(x, to=[0, 255], scale=[0, 1])
def _color(color="black", alpha=1, mode="RGB"):
"""Sanitize color to RGB(A) format.
"""
if isinstance... | 32.648148 | 86 | 0.548497 | 1,021 | 7,052 | 3.697356 | 0.132223 | 0.016689 | 0.063576 | 0.051921 | 0.500397 | 0.457219 | 0.433377 | 0.414834 | 0.414834 | 0.39894 | 0 | 0.04974 | 0.29013 | 7,052 | 215 | 87 | 32.8 | 0.704355 | 0.177964 | 0 | 0.392593 | 0 | 0 | 0.022667 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.059259 | false | 0 | 0.022222 | 0 | 0.155556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9d67bc8055c64e00d851f4955360ca97f28db935 | 6,971 | py | Python | pyfluka/pyfluka_merge.py | morgenst/pyfluka | 6dd3aa8cc29cfce0b2f084fb6b08bdebd2233298 | [
"MIT"
] | null | null | null | pyfluka/pyfluka_merge.py | morgenst/pyfluka | 6dd3aa8cc29cfce0b2f084fb6b08bdebd2233298 | [
"MIT"
] | null | null | null | pyfluka/pyfluka_merge.py | morgenst/pyfluka | 6dd3aa8cc29cfce0b2f084fb6b08bdebd2233298 | [
"MIT"
] | null | null | null | import sys
import argparse
import fnmatch
import os
import re
import shutil
import glob
import logging
import multiprocessing
from copy_reg import pickle
from types import MethodType
_logger = logging.getLogger('default')
_logger.addHandler(logging.StreamHandler())
_logger.setLevel(logging.CRITICAL)
def _pickle_meth... | 36.307292 | 125 | 0.551427 | 853 | 6,971 | 4.310668 | 0.237984 | 0.034811 | 0.029916 | 0.01523 | 0.134621 | 0.117215 | 0.078053 | 0.078053 | 0.05548 | 0.027196 | 0 | 0.005038 | 0.316597 | 6,971 | 191 | 126 | 36.497382 | 0.766793 | 0 | 0 | 0.13253 | 0 | 0 | 0.090374 | 0.007603 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096386 | false | 0.006024 | 0.066265 | 0 | 0.210843 | 0.012048 | 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 |
9d6864036da06d6197930101a35bf7b6e92aebea | 1,325 | py | Python | calculation.py | n-a-iliev/NBA-PER-Calculator | 590c617cc8c47009224a33f60fc4cba75f4b26bd | [
"MIT"
] | null | null | null | calculation.py | n-a-iliev/NBA-PER-Calculator | 590c617cc8c47009224a33f60fc4cba75f4b26bd | [
"MIT"
] | null | null | null | calculation.py | n-a-iliev/NBA-PER-Calculator | 590c617cc8c47009224a33f60fc4cba75f4b26bd | [
"MIT"
] | null | null | null | from balldontlie import balldontlie, player, stats
from matplotlib import pyplot as plt
'''This function gets more information about the player by inputting
their name and dataset to search'''
def getplayer(firstname, lastname, datalist):
for players in datalist:
for info in players.data:
... | 33.974359 | 99 | 0.659623 | 163 | 1,325 | 5.276074 | 0.527607 | 0.051163 | 0.030233 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011572 | 0.217358 | 1,325 | 38 | 100 | 34.868421 | 0.817743 | 0 | 0 | 0 | 0 | 0 | 0.170632 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.0625 | 0 | 0.15625 | 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 |
9d6b7d2817a9a11d4f368ca09bd16da81be04b5f | 1,496 | py | Python | rides/forms.py | andrenbrandao/pirauber | d7c5647ec6df698fa3d7397907ff629c74cc76b9 | [
"MIT"
] | null | null | null | rides/forms.py | andrenbrandao/pirauber | d7c5647ec6df698fa3d7397907ff629c74cc76b9 | [
"MIT"
] | 6 | 2020-06-05T23:27:38.000Z | 2022-02-10T08:14:16.000Z | rides/forms.py | andrenbrandao/pirauber | d7c5647ec6df698fa3d7397907ff629c74cc76b9 | [
"MIT"
] | null | null | null | from django import forms
from crispy_forms.helper import FormHelper
from crispy_forms.layout import Submit
from django.utils.translation import ugettext_lazy as _
from .models import Ride
class RideForm(forms.ModelForm):
date = forms.DateField(
label=_('Date'),
widget=forms.DateInput(format=('%Y... | 31.166667 | 91 | 0.592914 | 158 | 1,496 | 5.468354 | 0.481013 | 0.046296 | 0.097222 | 0.072917 | 0.155093 | 0.155093 | 0.155093 | 0.106481 | 0 | 0 | 0 | 0 | 0.25869 | 1,496 | 47 | 92 | 31.829787 | 0.77908 | 0 | 0 | 0.195122 | 0 | 0 | 0.21123 | 0.061497 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02439 | false | 0 | 0.121951 | 0 | 0.268293 | 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 |
9d6dfe9a0fb4cf150a1dbedc9b781a51974ddeed | 843 | py | Python | tests/testdata/models.py | dtpryce/MLServer | 02744b3c770141b0b1d9dad2a0256d243051de61 | [
"Apache-2.0"
] | null | null | null | tests/testdata/models.py | dtpryce/MLServer | 02744b3c770141b0b1d9dad2a0256d243051de61 | [
"Apache-2.0"
] | null | null | null | tests/testdata/models.py | dtpryce/MLServer | 02744b3c770141b0b1d9dad2a0256d243051de61 | [
"Apache-2.0"
] | null | null | null | import asyncio
from mlserver import MLModel
from mlserver.codecs import NumpyCodec
from mlserver.types import InferenceRequest, InferenceResponse
class SumModel(MLModel):
async def predict(self, payload: InferenceRequest) -> InferenceResponse:
decoded = self.decode(payload.inputs[0])
total = dec... | 31.222222 | 87 | 0.71293 | 97 | 843 | 6.175258 | 0.43299 | 0.0601 | 0.050083 | 0.146912 | 0.193656 | 0.193656 | 0.193656 | 0.193656 | 0.193656 | 0.193656 | 0 | 0.008759 | 0.187426 | 843 | 26 | 88 | 32.423077 | 0.865693 | 0 | 0 | 0.111111 | 0 | 0 | 0.005931 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.222222 | 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 |
9d6f477bb8496ccbe8298b0d502cfaf9b42c5d1c | 10,459 | py | Python | PERFORMER.py | ShivamRajSharma/Transformer-Architecure_From_Scratch | f7f24cb5146c09e6cf38a41e5e5ef721389803c1 | [
"MIT"
] | 17 | 2020-09-13T07:53:41.000Z | 2022-03-17T09:58:23.000Z | PERFORMER.py | ShivamRajSharma/Transformer-Architecure_From_Scratch | f7f24cb5146c09e6cf38a41e5e5ef721389803c1 | [
"MIT"
] | null | null | null | PERFORMER.py | ShivamRajSharma/Transformer-Architecure_From_Scratch | f7f24cb5146c09e6cf38a41e5e5ef721389803c1 | [
"MIT"
] | 3 | 2020-12-15T14:20:47.000Z | 2022-01-24T02:26:04.000Z | from time import time
import torch
import torch.nn as nn
class FastAttention(nn.Module):
def __init__(self, input_shape, head, n_features):
super(FastAttention, self).__init__()
self.head = head
self.input_shape = input_shape
self.depth = int(input_shape // head)
self.n_f... | 30.852507 | 95 | 0.581222 | 1,207 | 10,459 | 4.809445 | 0.153273 | 0.031008 | 0.026873 | 0.015504 | 0.418432 | 0.292334 | 0.264255 | 0.230146 | 0.178467 | 0.178467 | 0 | 0.013485 | 0.319342 | 10,459 | 339 | 96 | 30.852507 | 0.801938 | 0.006884 | 0 | 0.394265 | 0 | 0 | 0.022918 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0681 | false | 0 | 0.010753 | 0 | 0.139785 | 0.007168 | 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 |
9d6fa2ce7adb3f0d8fb6ff64a2befb7535e72eca | 28,970 | py | Python | nogo/gtp_connection.py | douglasrebstock/alpha-zero-general | 2237522be5a1bbfebbc2fc1b2a8e8a6bcb6d5aab | [
"MIT"
] | null | null | null | nogo/gtp_connection.py | douglasrebstock/alpha-zero-general | 2237522be5a1bbfebbc2fc1b2a8e8a6bcb6d5aab | [
"MIT"
] | null | null | null | nogo/gtp_connection.py | douglasrebstock/alpha-zero-general | 2237522be5a1bbfebbc2fc1b2a8e8a6bcb6d5aab | [
"MIT"
] | null | null | null | """
gtp_connection.py
Module for playing games of Go using GoTextProtocol
Parts of this code were originally based on the gtp module
in the Deep-Go project by Isaac Henrion and Amos Storkey
at the University of Edinburgh.
"""
import signal, os
import traceback
from sys import stdin, stdout, stderr
from board_util im... | 34.736211 | 150 | 0.542975 | 3,482 | 28,970 | 4.345204 | 0.1278 | 0.013483 | 0.023265 | 0.01573 | 0.429941 | 0.379577 | 0.346861 | 0.320291 | 0.295704 | 0.271844 | 0 | 0.017755 | 0.354539 | 28,970 | 833 | 151 | 34.777911 | 0.791379 | 0.15875 | 0 | 0.334586 | 0 | 0 | 0.055794 | 0.013659 | 0 | 0 | 0 | 0 | 0.00188 | 1 | 0.088346 | false | 0.015038 | 0.015038 | 0.00188 | 0.167293 | 0.003759 | 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 |
9d71192a0442b7eef7acad0763b92e91ecac841f | 965 | py | Python | plugins/help.py | A0vanc01/Frisky | d4d7f9892858b5412755c9dee594e5b60b6d2b94 | [
"MIT"
] | 5 | 2020-01-22T18:16:59.000Z | 2021-06-14T13:23:57.000Z | plugins/help.py | A0vanc01/Frisky | d4d7f9892858b5412755c9dee594e5b60b6d2b94 | [
"MIT"
] | 104 | 2020-02-12T00:36:14.000Z | 2022-02-10T08:18:28.000Z | plugins/help.py | A0vanc01/Frisky | d4d7f9892858b5412755c9dee594e5b60b6d2b94 | [
"MIT"
] | 4 | 2020-01-30T15:44:04.000Z | 2020-08-27T19:22:57.000Z | from frisky.events import MessageEvent
from frisky.plugin import FriskyPlugin, PluginRepositoryMixin
from frisky.responses import FriskyResponse
class HelpPlugin(FriskyPlugin, PluginRepositoryMixin):
commands = ['help']
def command_help(self, message: MessageEvent) -> FriskyResponse:
if len(message.... | 40.208333 | 96 | 0.643523 | 111 | 965 | 5.441441 | 0.432432 | 0.099338 | 0.043046 | 0.043046 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002801 | 0.260104 | 965 | 23 | 97 | 41.956522 | 0.843137 | 0 | 0 | 0 | 0 | 0 | 0.210363 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.157895 | 0 | 0.578947 | 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 |
9d71751143901cbe72d8513a42c3b74da3d29bf0 | 998 | py | Python | composer/models/ssd/ssd_hparams.py | anisehsani/composer | 42599682d50409b4a4eb7c91fad85d67418cee13 | [
"Apache-2.0"
] | null | null | null | composer/models/ssd/ssd_hparams.py | anisehsani/composer | 42599682d50409b4a4eb7c91fad85d67418cee13 | [
"Apache-2.0"
] | null | null | null | composer/models/ssd/ssd_hparams.py | anisehsani/composer | 42599682d50409b4a4eb7c91fad85d67418cee13 | [
"Apache-2.0"
] | null | null | null | # Copyright 2022 MosaicML. All Rights Reserved.
from dataclasses import dataclass
import yahp as hp
from composer.models.model_hparams import ModelHparams
@dataclass
class SSDHparams(ModelHparams):
input_size: int = hp.optional(
doc="input size",
default=300,
)
num_classes: int = hp.opt... | 22.681818 | 55 | 0.617234 | 114 | 998 | 5.245614 | 0.438596 | 0.083612 | 0.108696 | 0.080268 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019774 | 0.290581 | 998 | 43 | 56 | 23.209302 | 0.824859 | 0.04509 | 0 | 0 | 0 | 0 | 0.064143 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029412 | false | 0 | 0.117647 | 0 | 0.352941 | 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 |
9d73808fab2e4c633d3b7d43187bc4821f1bfb77 | 1,303 | py | Python | src/lib/base_dataset.py | CvHadesSun/Camera-Calibration | 5c054672749aa0b3be1bdff8b8f4f3d2fcf3ee85 | [
"MIT"
] | null | null | null | src/lib/base_dataset.py | CvHadesSun/Camera-Calibration | 5c054672749aa0b3be1bdff8b8f4f3d2fcf3ee85 | [
"MIT"
] | null | null | null | src/lib/base_dataset.py | CvHadesSun/Camera-Calibration | 5c054672749aa0b3be1bdff8b8f4f3d2fcf3ee85 | [
"MIT"
] | null | null | null | from os.path import join
from utils import getFileList
class ImageFolder:
def __init__(self, path, sub=None, annot='annot') -> None:
self.root = path
self.image = 'images'
self.annot = annot
self.image_root = join(path, self.image)
self.annot_root = join(path, self.annot)
... | 40.71875 | 80 | 0.61934 | 166 | 1,303 | 4.710843 | 0.23494 | 0.103581 | 0.099744 | 0.065217 | 0.196931 | 0.061381 | 0.061381 | 0 | 0 | 0 | 0 | 0 | 0.261704 | 1,303 | 32 | 81 | 40.71875 | 0.81289 | 0 | 0 | 0.068966 | 0 | 0 | 0.025307 | 0 | 0 | 0 | 0 | 0 | 0.034483 | 1 | 0.103448 | false | 0 | 0.068966 | 0.034483 | 0.275862 | 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 |
9d73d6f049758b5497d67b41cd027577eaf0250d | 1,704 | py | Python | main.py | sunkr1995/genetic-drawing | 6e5cc755a55c1994770c3f18fb14f1cc651bb700 | [
"MIT"
] | null | null | null | main.py | sunkr1995/genetic-drawing | 6e5cc755a55c1994770c3f18fb14f1cc651bb700 | [
"MIT"
] | null | null | null | main.py | sunkr1995/genetic-drawing | 6e5cc755a55c1994770c3f18fb14f1cc651bb700 | [
"MIT"
] | null | null | null | '''
Author: your name
Date: 2021-06-18 10:13:00
LastEditTime: 2021-07-08 14:13:07
LastEditors: Please set LastEditors
Description: In User Settings Edit
FilePath: /genetic-drawing/main.py
'''
import cv2
import os
import time
from IPython.display import clear_output
from genetic_drawing import *
gen = GeneticDrawing('0... | 34.08 | 87 | 0.669601 | 271 | 1,704 | 4.173432 | 0.372694 | 0.084881 | 0.026525 | 0.04863 | 0.541114 | 0.477454 | 0.477454 | 0.415561 | 0.415561 | 0.415561 | 0 | 0.067975 | 0.162559 | 1,704 | 50 | 88 | 34.08 | 0.724597 | 0.32277 | 0 | 0.428571 | 0 | 0 | 0.082674 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.178571 | 0 | 0.178571 | 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 |
9d740fa3ec721433e495424e2743d9af67d910eb | 10,991 | py | Python | flair/models/sandbox/simple_sequence_tagger_model.py | bratao/flair | 67b53cc2a615a2e2a4e552d6f787c2efa708a939 | [
"MIT"
] | null | null | null | flair/models/sandbox/simple_sequence_tagger_model.py | bratao/flair | 67b53cc2a615a2e2a4e552d6f787c2efa708a939 | [
"MIT"
] | null | null | null | flair/models/sandbox/simple_sequence_tagger_model.py | bratao/flair | 67b53cc2a615a2e2a4e552d6f787c2efa708a939 | [
"MIT"
] | null | null | null | import logging
from typing import List, Union, Optional
import torch
import torch.nn
import torch.nn.functional as F
from tqdm import tqdm
import flair.nn
from flair.data import Dictionary, Sentence, Label
from flair.datasets import SentenceDataset, DataLoader
from flair.embeddings import TokenEmbeddings
from flair.... | 35.569579 | 111 | 0.592849 | 1,243 | 10,991 | 5.053097 | 0.225261 | 0.028976 | 0.013533 | 0.018468 | 0.074988 | 0.048878 | 0.038847 | 0.038847 | 0.038847 | 0.031842 | 0 | 0.001373 | 0.337185 | 10,991 | 309 | 112 | 35.569579 | 0.86081 | 0.19516 | 0 | 0.068627 | 0 | 0 | 0.023448 | 0.0028 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04902 | false | 0 | 0.053922 | 0.004902 | 0.156863 | 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 |
9d7508b796c963b53ae0eb9f9680e4518db45e86 | 1,708 | py | Python | exercise/xiaohuar/spider-xiaohuar.com.py | PorYoung/bigData-camp-8d | 8fa31b48065da27fd1c4f8432232342cede6f56c | [
"MIT"
] | 1 | 2019-12-27T06:34:06.000Z | 2019-12-27T06:34:06.000Z | exercise/xiaohuar/spider-xiaohuar.com.py | PorYoung/bigData-camp-8d | 8fa31b48065da27fd1c4f8432232342cede6f56c | [
"MIT"
] | 1 | 2021-12-14T20:40:06.000Z | 2021-12-14T20:40:06.000Z | exercise/xiaohuar/spider-xiaohuar.com.py | PorYoung/bigData-camp-8d | 8fa31b48065da27fd1c4f8432232342cede6f56c | [
"MIT"
] | null | null | null | import requests
from bs4 import BeautifulSoup
def spider_xiaohuar_content(url, headers):
response = requests.get(url=url, headers=headers)
print(response.status_code)
if response.status_code == 200:
response.encoding = 'utf-8'
html = response.content
# 参数:网页内容,解析器
soup = B... | 38.818182 | 136 | 0.538056 | 223 | 1,708 | 4.013453 | 0.41704 | 0.040223 | 0.020112 | 0.053631 | 0.107263 | 0 | 0 | 0 | 0 | 0 | 0 | 0.039409 | 0.286885 | 1,708 | 44 | 137 | 38.818182 | 0.695402 | 0.00644 | 0 | 0 | 0 | 0.055556 | 0.220519 | 0.042453 | 0.027778 | 0 | 0 | 0 | 0 | 1 | 0.027778 | false | 0 | 0.055556 | 0 | 0.083333 | 0.027778 | 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 |
9d75c627939ebcaa3bf24644789f819936e04c59 | 749 | py | Python | v1.1/auc_csv_merge.py | lz-pku-1997/so-many-tricks-for-Image-classification | 3df7a0672f88219f893b0fa23c31ae6b30d01264 | [
"MIT"
] | 2 | 2020-04-21T06:06:28.000Z | 2020-12-27T12:35:57.000Z | v1.1/auc_csv_merge.py | lz-pku-1997/so-many-tricks-for-Image-classification | 3df7a0672f88219f893b0fa23c31ae6b30d01264 | [
"MIT"
] | null | null | null | v1.1/auc_csv_merge.py | lz-pku-1997/so-many-tricks-for-Image-classification | 3df7a0672f88219f893b0fa23c31ae6b30d01264 | [
"MIT"
] | null | null | null | #尝试直接读取文件夹内所有csv,记得看看列表,是不是读对了
import glob
import pandas as pd
import numpy as np
io = glob.glob(r"*.csv")
len_io=len(io)
print('总共输入表的数量为:',len_io)
prob_list=[]
for i in range(len_io):
sub_1 = pd.read_csv(io[i])
denominator=len(sub_1)
for my_classes in ['healthy','multiple_diseases','rust',... | 31.208333 | 69 | 0.663551 | 124 | 749 | 3.75 | 0.403226 | 0.068817 | 0.077419 | 0.03871 | 0.068817 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02455 | 0.184246 | 749 | 24 | 70 | 31.208333 | 0.736498 | 0.038718 | 0 | 0 | 0 | 0 | 0.113343 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.15 | 0 | 0.15 | 0.1 | 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 |
9d76b727796967801234a59f7efe009b01c9e636 | 10,468 | py | Python | masakari-7.0.0/masakari/objects/base.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | null | null | null | masakari-7.0.0/masakari/objects/base.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | 5 | 2019-08-14T06:46:03.000Z | 2021-12-13T20:01:25.000Z | masakari-7.0.0/masakari/objects/base.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | 2 | 2020-03-15T01:24:15.000Z | 2020-07-22T20:34:26.000Z | # Copyright 2016 NTT Data.
# 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 app... | 35.364865 | 79 | 0.664215 | 1,296 | 10,468 | 5.220679 | 0.26929 | 0.017292 | 0.011085 | 0.017736 | 0.11277 | 0.06444 | 0.034585 | 0.027195 | 0.027195 | 0.027195 | 0 | 0.002355 | 0.26987 | 10,468 | 295 | 80 | 35.484746 | 0.882899 | 0.416221 | 0 | 0.166667 | 0 | 0 | 0.026246 | 0.008103 | 0 | 0 | 0 | 0 | 0 | 1 | 0.113636 | false | 0 | 0.037879 | 0.015152 | 0.348485 | 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 |
9d7ad5477f4bf8f12192323e1ee2103954aa57db | 3,925 | py | Python | twitter_bot/MyBot.py | diem-ai/datascience-projects | deef93217bd3b0cfc2ca7802933142d1dad7fcba | [
"MIT"
] | null | null | null | twitter_bot/MyBot.py | diem-ai/datascience-projects | deef93217bd3b0cfc2ca7802933142d1dad7fcba | [
"MIT"
] | null | null | null | twitter_bot/MyBot.py | diem-ai/datascience-projects | deef93217bd3b0cfc2ca7802933142d1dad7fcba | [
"MIT"
] | null | null | null | """
Class SaleBot
It is initialised by nlp model (bag-of-word, tf-idf, word2vec)
It returns response with a question as the input
"""
from gensim.corpora import Dictionary
#from gensim.models import FastText
from gensim.models import Word2Vec , WordEmbeddingSimilarityIndex
from gensim.similarities import SoftCo... | 37.380952 | 105 | 0.592866 | 399 | 3,925 | 5.666667 | 0.323308 | 0.051747 | 0.02123 | 0.029191 | 0.125608 | 0.10084 | 0.10084 | 0.069881 | 0.069881 | 0.069881 | 0 | 0.012495 | 0.327134 | 3,925 | 105 | 106 | 37.380952 | 0.84362 | 0.163822 | 0 | 0.066667 | 0 | 0 | 0.02191 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.1 | 0 | 0.316667 | 0.016667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9d8165f8ce202fddd44b2d3bc70e29ad7d9245a2 | 1,482 | py | Python | hail_scripts/v01/convert_tsv_to_vds.py | NLSVTN/hail-elasticsearch-pipelines | 8b895a2e46a33d347dd2a1024101a6d515027a03 | [
"MIT"
] | null | null | null | hail_scripts/v01/convert_tsv_to_vds.py | NLSVTN/hail-elasticsearch-pipelines | 8b895a2e46a33d347dd2a1024101a6d515027a03 | [
"MIT"
] | null | null | null | hail_scripts/v01/convert_tsv_to_vds.py | NLSVTN/hail-elasticsearch-pipelines | 8b895a2e46a33d347dd2a1024101a6d515027a03 | [
"MIT"
] | null | null | null | import argparse as ap
import hail
from pprint import pprint
import time
from hail_scripts.v01.utils.vds_utils import write_vds
p = ap.ArgumentParser(description="Convert a tsv table to a .vds")
p.add_argument("-c", "--chrom-column", required=True)
p.add_argument("-p", "--pos-column", required=True)
p.add_argument("-r... | 36.146341 | 150 | 0.690958 | 227 | 1,482 | 4.281938 | 0.348018 | 0.055556 | 0.061728 | 0.078189 | 0.18107 | 0.18107 | 0.057613 | 0.057613 | 0 | 0 | 0 | 0.004615 | 0.122807 | 1,482 | 40 | 151 | 37.05 | 0.743077 | 0.039811 | 0 | 0 | 0 | 0.037037 | 0.209008 | 0.023223 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.259259 | 0 | 0.259259 | 0.222222 | 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 |
9d81808e7a83247fd981f349fc73abe0b9de1e1e | 4,649 | py | Python | scripts/Old/fixSequenceIDs.py | paepcke/json_to_relation | acfa58d540f8f51d1d913d0c173ee3ded1b6c2a9 | [
"BSD-3-Clause"
] | 4 | 2015-10-10T19:09:49.000Z | 2021-09-02T00:58:06.000Z | scripts/Old/fixSequenceIDs.py | paepcke/json_to_relation | acfa58d540f8f51d1d913d0c173ee3ded1b6c2a9 | [
"BSD-3-Clause"
] | null | null | null | scripts/Old/fixSequenceIDs.py | paepcke/json_to_relation | acfa58d540f8f51d1d913d0c173ee3ded1b6c2a9 | [
"BSD-3-Clause"
] | 8 | 2015-05-16T14:33:33.000Z | 2019-10-24T08:56:25.000Z | #!/usr/bin/env python
# Copyright (c) 2014, Stanford University
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code must retain the above copyright notice, this list ... | 54.05814 | 757 | 0.687245 | 568 | 4,649 | 5.568662 | 0.489437 | 0.012646 | 0.018021 | 0.014543 | 0.112551 | 0.082833 | 0.042997 | 0.042997 | 0.042997 | 0.042997 | 0 | 0.016218 | 0.217466 | 4,649 | 85 | 758 | 54.694118 | 0.853216 | 0.544203 | 0 | 0.05 | 0 | 0 | 0.161527 | 0.092511 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.175 | 0 | 0.275 | 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 |
9d818b86a7daa5558c49d73a26208235e0d52b89 | 8,433 | py | Python | tests/test_logger_device.py | ska-telescope/lmc-base-classes | e3ac46a731aca4d49d53747b4352ec4be089ff5d | [
"BSD-3-Clause"
] | 3 | 2019-04-18T20:46:02.000Z | 2019-07-30T17:47:40.000Z | tests/test_logger_device.py | ska-telescope/lmc-base-classes | e3ac46a731aca4d49d53747b4352ec4be089ff5d | [
"BSD-3-Clause"
] | 26 | 2018-10-30T07:50:50.000Z | 2020-07-13T12:50:36.000Z | tests/test_logger_device.py | ska-telescope/lmc-base-classes | e3ac46a731aca4d49d53747b4352ec4be089ff5d | [
"BSD-3-Clause"
] | 4 | 2019-01-16T07:47:59.000Z | 2021-06-01T11:17:32.000Z | #########################################################################################
# -*- coding: utf-8 -*-
#
# This file is part of the SKALogger project
#
#
#
#########################################################################################
"""Contain the tests for the SKALogger."""
import re
import py... | 44.856383 | 94 | 0.681727 | 899 | 8,433 | 6.204672 | 0.150167 | 0.134457 | 0.076192 | 0.116529 | 0.552886 | 0.48028 | 0.154177 | 0.146468 | 0.020437 | 0 | 0 | 0.003295 | 0.208348 | 8,433 | 187 | 95 | 45.096257 | 0.832235 | 0.440768 | 0 | 0 | 0 | 0.011628 | 0.099074 | 0.024306 | 0 | 0 | 0 | 0 | 0.151163 | 1 | 0.162791 | false | 0.011628 | 0.104651 | 0 | 0.290698 | 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 |
9d83b4f58893d59845ef72aeb0870f92b39fa121 | 2,053 | py | Python | baseline/find_pairs.py | parallelcrawl/DataCollection | 4308473e6b53779159a15c1416bff3f2291dd1f2 | [
"Apache-2.0"
] | 8 | 2018-02-08T16:03:00.000Z | 2022-01-19T11:41:38.000Z | baseline/find_pairs.py | christianbuck/CorpusMining | f9248c3528a415a1e5af2c5a54a60c16cd79ff1d | [
"Apache-2.0"
] | 3 | 2017-08-08T10:53:29.000Z | 2017-08-08T10:58:51.000Z | baseline/find_pairs.py | parallelcrawl/DataCollection | 4308473e6b53779159a15c1416bff3f2291dd1f2 | [
"Apache-2.0"
] | 4 | 2018-06-09T21:53:09.000Z | 2022-01-19T11:41:48.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import re
import urlparse
def process_buffer(buffer):
if not buffer or len(buffer) < 2:
return
buffer = [line.decode('utf-8', 'ignore') for line in buffer]
split_buffer = [line.strip().lower().split("\t")
for line in buff... | 31.106061 | 77 | 0.580614 | 229 | 2,053 | 5.021834 | 0.266376 | 0.103478 | 0.03913 | 0.052174 | 0.205217 | 0.097391 | 0 | 0 | 0 | 0 | 0 | 0.008523 | 0.314174 | 2,053 | 65 | 78 | 31.584615 | 0.808239 | 0.147589 | 0 | 0.2 | 0 | 0 | 0.028129 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02 | false | 0 | 0.08 | 0 | 0.22 | 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 |
9d87c99f7edc4a51975ce4aad83b2a68eca0165b | 4,931 | py | Python | utils.py | nea23/greek_alphabets_tf-idf | 94094dd6d7383400e0f0a9d4a1b05744dd2f3ba9 | [
"MIT"
] | null | null | null | utils.py | nea23/greek_alphabets_tf-idf | 94094dd6d7383400e0f0a9d4a1b05744dd2f3ba9 | [
"MIT"
] | null | null | null | utils.py | nea23/greek_alphabets_tf-idf | 94094dd6d7383400e0f0a9d4a1b05744dd2f3ba9 | [
"MIT"
] | null | null | null | import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
"""
The following functions are used to create an annotated heatmap and they were copied from:
https://matplotlib.org/stable/gallery/images_contours_and_fields/image_annotated_heatmap.html#using-the-helper-function-code-style
""... | 34.725352 | 131 | 0.651592 | 713 | 4,931 | 4.429173 | 0.352034 | 0.0133 | 0.015199 | 0.021533 | 0.136795 | 0.117163 | 0.081697 | 0.065231 | 0 | 0 | 0 | 0.008313 | 0.243764 | 4,931 | 142 | 132 | 34.725352 | 0.838563 | 0.404583 | 0 | 0 | 0 | 0 | 0.026282 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.071429 | 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 |
9d87fe4b4c7aa76322c36b84c9220f5fee728c3d | 6,675 | py | Python | built-in/MindSpore/Official/cv/detection/CenterFace_for_MindSpore/src/launch.py | Huawei-Ascend/modelzoo | df51ed9c1d6dbde1deef63f2a037a369f8554406 | [
"Apache-2.0"
] | 12 | 2020-12-13T08:34:24.000Z | 2022-03-20T15:17:17.000Z | built-in/MindSpore/Official/cv/detection/CenterFace_for_MindSpore/src/launch.py | Huawei-Ascend/modelzoo | df51ed9c1d6dbde1deef63f2a037a369f8554406 | [
"Apache-2.0"
] | 3 | 2021-03-31T20:15:40.000Z | 2022-02-09T23:50:46.000Z | built-in/MindSpore/Official/cv/detection/CenterFace_for_MindSpore/src/launch.py | Huawei-Ascend/modelzoo | df51ed9c1d6dbde1deef63f2a037a369f8554406 | [
"Apache-2.0"
] | 2 | 2021-07-10T12:40:46.000Z | 2021-12-17T07:55:15.000Z | # Copyright 2020 Huawei Technologies Co., Ltd
#
# 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... | 43.914474 | 315 | 0.61588 | 867 | 6,675 | 4.491349 | 0.275663 | 0.03698 | 0.040062 | 0.049307 | 0.21623 | 0.138932 | 0.0981 | 0.0981 | 0.0981 | 0.07961 | 0 | 0.008585 | 0.249588 | 6,675 | 151 | 316 | 44.205298 | 0.768816 | 0.131386 | 0 | 0.06087 | 0 | 0.017391 | 0.254505 | 0.008316 | 0 | 0 | 0.002079 | 0 | 0.008696 | 1 | 0.017391 | false | 0 | 0.052174 | 0 | 0.078261 | 0.043478 | 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 |
9d886ff7c8fb1d674ed9db521c7c448a657e5fe1 | 3,799 | py | Python | Incident-Response/Tools/cyphon/cyphon/responder/actions/tests/test_models.py | sn0b4ll/Incident-Playbook | cf519f58fcd4255674662b3620ea97c1091c1efb | [
"MIT"
] | 1 | 2021-07-24T17:22:50.000Z | 2021-07-24T17:22:50.000Z | Incident-Response/Tools/cyphon/cyphon/responder/actions/tests/test_models.py | sn0b4ll/Incident-Playbook | cf519f58fcd4255674662b3620ea97c1091c1efb | [
"MIT"
] | 2 | 2022-02-28T03:40:31.000Z | 2022-02-28T03:40:52.000Z | Incident-Response/Tools/cyphon/cyphon/responder/actions/tests/test_models.py | sn0b4ll/Incident-Playbook | cf519f58fcd4255674662b3620ea97c1091c1efb | [
"MIT"
] | 2 | 2022-02-25T08:34:51.000Z | 2022-03-16T17:29:44.000Z | # -*- coding: utf-8 -*-
# Copyright 2017-2019 ControlScan, Inc.
#
# This file is part of Cyphon Engine.
#
# Cyphon Engine is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, version 3 of the License.
#
# Cyphon En... | 30.886179 | 72 | 0.630692 | 461 | 3,799 | 5.052061 | 0.321041 | 0.055818 | 0.032632 | 0.042937 | 0.303564 | 0.276943 | 0.228854 | 0.206097 | 0.16316 | 0.16316 | 0 | 0.004044 | 0.284022 | 3,799 | 122 | 73 | 31.139344 | 0.852206 | 0.300869 | 0 | 0.327273 | 0 | 0 | 0.065047 | 0.026348 | 0 | 0 | 0 | 0 | 0.181818 | 1 | 0.127273 | false | 0 | 0.127273 | 0 | 0.309091 | 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 |
9d8881a2641e3115485a61059c62987f2d27bf5d | 4,805 | py | Python | predictions/lambda/handler.py | aaronshim/alexa-github-today | 4f3e7adffa9bb9f3d63cfc1f4a79f396078c787c | [
"MIT"
] | null | null | null | predictions/lambda/handler.py | aaronshim/alexa-github-today | 4f3e7adffa9bb9f3d63cfc1f4a79f396078c787c | [
"MIT"
] | null | null | null | predictions/lambda/handler.py | aaronshim/alexa-github-today | 4f3e7adffa9bb9f3d63cfc1f4a79f396078c787c | [
"MIT"
] | null | null | null | import json
import requests
from collections import defaultdict
from fuzzywuzzy import process
from random import sample
# Constants
"""
Constants for default responses that do not need any further computation.
"""
DEFAULT_STOP_RESPONSE = 'All right. See you next time!'
DEFAULT_ERROR_MESSAGE = "I'm sorry. I don't kn... | 33.838028 | 125 | 0.624766 | 565 | 4,805 | 5.189381 | 0.346903 | 0.010232 | 0.032401 | 0.034106 | 0.114939 | 0.085266 | 0.068213 | 0.034789 | 0.034789 | 0 | 0 | 0.005078 | 0.262227 | 4,805 | 141 | 126 | 34.078014 | 0.822003 | 0.157544 | 0 | 0.120879 | 0 | 0 | 0.238488 | 0.018366 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065934 | false | 0 | 0.054945 | 0 | 0.263736 | 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 |
9d88973447a6fc9a97038839f4db33428c51196b | 12,649 | py | Python | Train.py | prattcmp/speakerembedding | 5ed051261e69aaf7a1306c390b36cedb8da3f095 | [
"MIT"
] | null | null | null | Train.py | prattcmp/speakerembedding | 5ed051261e69aaf7a1306c390b36cedb8da3f095 | [
"MIT"
] | null | null | null | Train.py | prattcmp/speakerembedding | 5ed051261e69aaf7a1306c390b36cedb8da3f095 | [
"MIT"
] | null | null | null | import torch
import numpy as np
import logging, yaml, os, sys, argparse, time
from tqdm import tqdm
from collections import defaultdict
from Logger import Logger
import matplotlib
matplotlib.use('agg')
matplotlib.rcParams['agg.path.chunksize'] = 10000
import matplotlib.pyplot as plt
from scipy.io import wavfile
from ra... | 35.233983 | 137 | 0.591035 | 1,446 | 12,649 | 4.981328 | 0.185339 | 0.041788 | 0.023324 | 0.018465 | 0.374705 | 0.295155 | 0.206303 | 0.168957 | 0.147022 | 0.140358 | 0 | 0.004048 | 0.296861 | 12,649 | 359 | 138 | 35.233983 | 0.805824 | 0.003716 | 0 | 0.216949 | 0 | 0.00339 | 0.080787 | 0.006825 | 0 | 0 | 0 | 0 | 0 | 1 | 0.040678 | false | 0 | 0.061017 | 0.00339 | 0.115254 | 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 |
9d8c97671a23367d026ea52b147ffe064cc2939a | 881 | py | Python | ga/gen_graph.py | k4t0mono/exercicios-ia | 06f76db20f519b8d7e9b5ee2cf5c7a72b21e188c | [
"BSD-3-Clause"
] | 1 | 2018-09-23T15:38:04.000Z | 2018-09-23T15:38:04.000Z | ga/gen_graph.py | k4t0mono/exercicios-ia | 06f76db20f519b8d7e9b5ee2cf5c7a72b21e188c | [
"BSD-3-Clause"
] | null | null | null | ga/gen_graph.py | k4t0mono/exercicios-ia | 06f76db20f519b8d7e9b5ee2cf5c7a72b21e188c | [
"BSD-3-Clause"
] | null | null | null | import sys
import numpy as np
import matplotlib.pyplot as plt
f = open(sys.argv[1], 'r')
lines = f.readlines()
f.close()
pop_size = int(lines.pop(0))
pops = []
for l in lines:
if l[0] == '[':
pops.append(l.strip())
for j in range(len(pops)):
p = []
for n in pops[j][1:-1].split(','):
p.a... | 17.979592 | 52 | 0.506243 | 151 | 881 | 2.927152 | 0.437086 | 0.013575 | 0.027149 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.044094 | 0.279228 | 881 | 48 | 53 | 18.354167 | 0.651969 | 0.052213 | 0 | 0 | 0 | 0 | 0.060024 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.083333 | 0 | 0.083333 | 0.027778 | 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 |
9d8f0a7d44e8c877c0f58c7e9fe5bd054fd5c40a | 7,486 | py | Python | src/analyses/analyses.py | zahariaa/disentangled-dynamics | 2dbdf9884f6f90ff67073f571191227e7abce81d | [
"MIT"
] | null | null | null | src/analyses/analyses.py | zahariaa/disentangled-dynamics | 2dbdf9884f6f90ff67073f571191227e7abce81d | [
"MIT"
] | null | null | null | src/analyses/analyses.py | zahariaa/disentangled-dynamics | 2dbdf9884f6f90ff67073f571191227e7abce81d | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
analyses for bVAE entanglement, etc
"""
import torch
import sys
sys.path.append("..") # Adds higher directory to python modules path.
import matplotlib.pyplot as plt
import numpy as np
from data.dspritesb import dSpriteBackgroundDataset
from torchvision import tran... | 36.339806 | 119 | 0.593909 | 925 | 7,486 | 4.723243 | 0.271351 | 0.038911 | 0.042802 | 0.023346 | 0.378119 | 0.318379 | 0.280385 | 0.161822 | 0.161822 | 0.127489 | 0 | 0.025496 | 0.266497 | 7,486 | 205 | 120 | 36.517073 | 0.770169 | 0.320064 | 0 | 0.221154 | 0 | 0 | 0.029848 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048077 | false | 0 | 0.057692 | 0 | 0.134615 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9d9030a3ab27bda98f5076efe7e1d4f4d61c1b31 | 2,684 | py | Python | Chapter_BestPractices/Centering_Scaling.py | ML-PSE/Machine_Learning_for_PSE | b53578d7cc0e0eca4907527b188a60de06d6710e | [
"Apache-2.0"
] | 2 | 2022-02-20T18:57:46.000Z | 2022-03-03T07:07:12.000Z | Chapter_BestPractices/Centering_Scaling.py | ML-PSE/Machine_Learning_for_PSE | b53578d7cc0e0eca4907527b188a60de06d6710e | [
"Apache-2.0"
] | null | null | null | Chapter_BestPractices/Centering_Scaling.py | ML-PSE/Machine_Learning_for_PSE | b53578d7cc0e0eca4907527b188a60de06d6710e | [
"Apache-2.0"
] | null | null | null | ##%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
## Centering & Scaling
## %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
#%% Standard scaling
import numpy as np
from sklearn.preprocessing import StandardScaler
X = np.array([[ 100... | 31.209302 | 80 | 0.592399 | 340 | 2,684 | 4.614706 | 0.276471 | 0.044614 | 0.030593 | 0.038241 | 0.331421 | 0.248566 | 0.248566 | 0.235182 | 0.215424 | 0.182282 | 0 | 0.044984 | 0.171759 | 2,684 | 85 | 81 | 31.576471 | 0.660819 | 0.389344 | 0 | 0.272727 | 0 | 0 | 0.168754 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.113636 | 0 | 0.113636 | 0.272727 | 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 |
9d91be2759fba448a3db8257c92c32db569fc6fc | 2,244 | py | Python | web/addons/mass_mailing/models/mass_mailing_report.py | diogocs1/comps | 63df07f6cf21c41e4527c06e2d0499f23f4322e7 | [
"Apache-2.0"
] | 1 | 2019-12-29T11:53:56.000Z | 2019-12-29T11:53:56.000Z | odoo/addons/mass_mailing/models/mass_mailing_report.py | tuanquanghpvn/odoo8-tutorial | 52d25f1ca5f233c431cb9d3b24b79c3b4fb5127e | [
"MIT"
] | null | null | null | odoo/addons/mass_mailing/models/mass_mailing_report.py | tuanquanghpvn/odoo8-tutorial | 52d25f1ca5f233c431cb9d3b24b79c3b4fb5127e | [
"MIT"
] | 3 | 2020-10-08T14:42:10.000Z | 2022-01-28T14:12:29.000Z | # -*- coding: utf-8 -*-
from openerp.osv import fields, osv
from openerp import tools
class MassMailingReport(osv.Model):
_name = 'mail.statistics.report'
_auto = False
_description = 'Mass Mailing Statistics'
_columns = {
'scheduled_date': fields.datetime('Scheduled Date', readonly=True),
... | 42.339623 | 101 | 0.572638 | 254 | 2,244 | 4.944882 | 0.314961 | 0.095541 | 0.047771 | 0.028662 | 0.065287 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000649 | 0.31328 | 2,244 | 52 | 102 | 43.153846 | 0.814406 | 0.096702 | 0 | 0 | 0 | 0.023256 | 0.590025 | 0.076309 | 0 | 0 | 0 | 0 | 0 | 1 | 0.023256 | false | 0 | 0.046512 | 0 | 0.186047 | 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 |
9d934505c9a5de277afc3e1a3c4cc83a509daf62 | 2,750 | py | Python | modules/springerlink.py | Christoph-D/paperget | 9887936039ecc9fafe4dcce7988e75e964a05bcd | [
"MIT"
] | 3 | 2016-06-17T15:52:02.000Z | 2017-12-21T02:44:49.000Z | modules/springerlink.py | Christoph-D/paperget | 9887936039ecc9fafe4dcce7988e75e964a05bcd | [
"MIT"
] | null | null | null | modules/springerlink.py | Christoph-D/paperget | 9887936039ecc9fafe4dcce7988e75e964a05bcd | [
"MIT"
] | 1 | 2021-02-16T21:10:33.000Z | 2021-02-16T21:10:33.000Z | import urllib, re
class FakeUseragentURLopener(urllib.FancyURLopener):
version = "Mozilla/5.0 (Ubuntu; X11; Linux i686; rv:9.0.1) Gecko/20100101 Firefox/9.0.1"
urllib._urlopener = FakeUseragentURLopener()
download_pdf_regex = re.compile('.*<li class="pdf"><a class="sprite pdf-resource-sprite" href="([^"]*)" title... | 49.107143 | 129 | 0.651273 | 272 | 2,750 | 6.448529 | 0.338235 | 0.056442 | 0.078677 | 0.049601 | 0.060433 | 0.037628 | 0.037628 | 0 | 0 | 0 | 0 | 0.0322 | 0.198182 | 2,750 | 55 | 130 | 50 | 0.763265 | 0 | 0 | 0.081633 | 0 | 0.040816 | 0.396 | 0.189455 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061224 | false | 0 | 0.040816 | 0.020408 | 0.244898 | 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 |
9d9caa03a4ae2fbdbadf5bfc3fd2600ade753a1b | 3,460 | py | Python | modules/colors.py | trybefore/discordbot | 1ffce8149cde586e8c5883e8200b02937c5a15f6 | [
"MIT"
] | 3 | 2020-09-15T23:19:18.000Z | 2021-02-17T10:24:54.000Z | modules/colors.py | trybefore/discordbot | 1ffce8149cde586e8c5883e8200b02937c5a15f6 | [
"MIT"
] | 3 | 2021-06-22T10:57:14.000Z | 2021-06-22T10:57:15.000Z | modules/colors.py | trybefore/discordbot | 1ffce8149cde586e8c5883e8200b02937c5a15f6 | [
"MIT"
] | 2 | 2020-05-03T20:54:57.000Z | 2020-09-12T18:49:13.000Z | from threading import Lock
import discord
from discord.ext import commands
from loguru import logger
from local_types import Snowflake
from modules import is_bot_admin
class Colors(commands.Cog):
bot: discord.ext.commands.Bot
colorRoles = {}
mutex = Lock()
def __init__(self, bot):
self.bo... | 31.454545 | 161 | 0.57948 | 437 | 3,460 | 4.512586 | 0.276888 | 0.030426 | 0.045639 | 0.043103 | 0.267748 | 0.234787 | 0.185091 | 0.15568 | 0.15568 | 0.15568 | 0 | 0.001656 | 0.302023 | 3,460 | 109 | 162 | 31.743119 | 0.814907 | 0.026301 | 0 | 0.2375 | 0 | 0.0125 | 0.120654 | 0.01367 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025 | false | 0.0125 | 0.075 | 0 | 0.15 | 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 |
9d9e064b6bf0f12b09cc360b5115a0ae4d5fbeff | 1,645 | py | Python | examples/basic_dsp_example.py | Camotubi/basic_dsp | 38a380439cc8936c64febbc12227df78d95fce7f | [
"Apache-2.0",
"MIT"
] | 40 | 2015-11-23T02:23:35.000Z | 2022-03-18T11:19:11.000Z | examples/basic_dsp_example.py | Camotubi/basic_dsp | 38a380439cc8936c64febbc12227df78d95fce7f | [
"Apache-2.0",
"MIT"
] | 47 | 2015-11-23T01:58:38.000Z | 2021-01-11T07:53:37.000Z | examples/basic_dsp_example.py | Camotubi/basic_dsp | 38a380439cc8936c64febbc12227df78d95fce7f | [
"Apache-2.0",
"MIT"
] | 9 | 2018-05-19T07:25:26.000Z | 2022-01-09T20:51:40.000Z | import ctypes
import struct
import time
#
# A small example how to use basic_dsp in a different language.
#
class VecResult(ctypes.Structure):
_fields_ = [("resultCode", ctypes.c_int),
("result", ctypes.c_void_p)]
lib = ctypes.WinDLL('basic_dsp.dll')
new64Proto = ctypes.WINFUNCTYPE (
ctypes... | 26.967213 | 100 | 0.677204 | 227 | 1,645 | 4.76652 | 0.334802 | 0.142329 | 0.096118 | 0.044362 | 0.22366 | 0.198706 | 0.116451 | 0.116451 | 0 | 0 | 0 | 0.048363 | 0.182979 | 1,645 | 60 | 101 | 27.416667 | 0.756696 | 0.06079 | 0 | 0.319149 | 0 | 0 | 0.141835 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.06383 | 0 | 0.106383 | 0.085106 | 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 |
9da1a92cdcf88a9e292d7bdc3fb0eeb027139777 | 2,305 | py | Python | chemex/experiments/cpmg/fast/liouvillian.py | marcuscangussu/chemex_bouvignies | ce9ec20a42604eb5995abb0f8a84094b29747651 | [
"BSD-3-Clause"
] | null | null | null | chemex/experiments/cpmg/fast/liouvillian.py | marcuscangussu/chemex_bouvignies | ce9ec20a42604eb5995abb0f8a84094b29747651 | [
"BSD-3-Clause"
] | null | null | null | chemex/experiments/cpmg/fast/liouvillian.py | marcuscangussu/chemex_bouvignies | ce9ec20a42604eb5995abb0f8a84094b29747651 | [
"BSD-3-Clause"
] | null | null | null | """
Created on Sep 1, 2011
@author: guillaume
"""
from scipy import zeros
from chemex.bases.two_states.fast import R_IXY, DR_IXY, DW, KAB, KBA
def compute_liouvillians(pb=0.0, kex=0.0, dw=0.0,
r_ixy=5.0, dr_ixy=0.0):
"""
Compute the exchange matrix (Liouvillian)
The function a... | 21.745283 | 81 | 0.59436 | 344 | 2,305 | 3.886628 | 0.343023 | 0.008975 | 0.014959 | 0.015707 | 0.210172 | 0.133134 | 0.133134 | 0.088257 | 0.088257 | 0.088257 | 0 | 0.030644 | 0.306291 | 2,305 | 105 | 82 | 21.952381 | 0.805503 | 0.630803 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.095238 | 0 | 0.380952 | 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 |
9da26db5109dcd203a39bfcab1fbaa5c755f0368 | 33,787 | py | Python | Software/python/config_dialog.py | edavalosanaya/SKORE | 72e742611ba96b0df542781ded0685f525bea82b | [
"MIT"
] | 1 | 2020-09-20T19:00:17.000Z | 2020-09-20T19:00:17.000Z | Software/python/config_dialog.py | MrCodingRobot/SKORE | 72e742611ba96b0df542781ded0685f525bea82b | [
"MIT"
] | null | null | null | Software/python/config_dialog.py | MrCodingRobot/SKORE | 72e742611ba96b0df542781ded0685f525bea82b | [
"MIT"
] | null | null | null | # General Utility Libraries
import sys
import os
import warnings
# PyQt5, GUI Library
from PyQt5 import QtCore, QtGui, QtWidgets
# Serial and Midi Port Library
import rtmidi
import serial
import serial.tools.list_ports
# SKORE Library
from lib_skore import read_config, update_config
import globals
#----------------... | 48.336195 | 184 | 0.671797 | 4,302 | 33,787 | 4.96676 | 0.095769 | 0.071138 | 0.0417 | 0.046333 | 0.600178 | 0.489774 | 0.405813 | 0.335564 | 0.296298 | 0.158188 | 0 | 0.021526 | 0.19839 | 33,787 | 698 | 185 | 48.405444 | 0.76739 | 0.108089 | 0 | 0.123487 | 0 | 0 | 0.068422 | 0.008553 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03632 | false | 0 | 0.021792 | 0 | 0.104116 | 0.007264 | 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 |
9da270a879210ead826c86bdc8c185c7e2c0effa | 1,814 | py | Python | valorant/caller.py | frissyn/valorant.py | 49abceab5cc1f3af016ce0b1d253d10089aeb0b4 | [
"MIT"
] | 56 | 2021-01-22T01:48:23.000Z | 2022-03-31T20:44:23.000Z | valorant/caller.py | Tominous/valorant.py | b462441ab4ab403123ad245cab30f3abbd891a66 | [
"MIT"
] | 20 | 2021-02-03T10:40:37.000Z | 2022-03-24T11:23:57.000Z | valorant/caller.py | Tominous/valorant.py | b462441ab4ab403123ad245cab30f3abbd891a66 | [
"MIT"
] | 15 | 2021-03-24T01:17:58.000Z | 2022-02-01T02:10:27.000Z | import requests
from .values import ROUTES
from .values import LOCALES
from .values import REGIONS
from .values import ENDPOINTS
def value_check(*args):
KEYS = ROUTES + LOCALES + REGIONS
for arg in args:
if arg not in KEYS:
raise ValueError
else:
return True
class W... | 27.484848 | 85 | 0.555678 | 212 | 1,814 | 4.693396 | 0.424528 | 0.048241 | 0.064322 | 0.046231 | 0.112563 | 0.112563 | 0 | 0 | 0 | 0 | 0 | 0.002435 | 0.320838 | 1,814 | 65 | 86 | 27.907692 | 0.805195 | 0 | 0 | 0.156863 | 0 | 0 | 0.142778 | 0.031422 | 0 | 0 | 0 | 0 | 0 | 1 | 0.078431 | false | 0.019608 | 0.098039 | 0 | 0.254902 | 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 |
9da846794dabe811239a290251111e03ccfb593a | 1,256 | py | Python | test_LearnSubtitles.py | heitor31415/LearnSubtitles | 153178ea11d700a49a1f3692de39e8fc81e3cc4e | [
"MIT"
] | 8 | 2020-02-13T03:08:25.000Z | 2021-01-11T20:28:39.000Z | test_LearnSubtitles.py | heitor31415/LearnSubtitles | 153178ea11d700a49a1f3692de39e8fc81e3cc4e | [
"MIT"
] | 1 | 2020-04-28T19:48:16.000Z | 2020-04-29T12:28:15.000Z | test_LearnSubtitles.py | heitor31415/LearnSubtitles | 153178ea11d700a49a1f3692de39e8fc81e3cc4e | [
"MIT"
] | 1 | 2020-03-14T00:46:36.000Z | 2020-03-14T00:46:36.000Z | import os
import pytest
from typing import Any, Callable, Dict, List
import LearnSubtitles as ls
def prepare(language: str) -> List:
""" Create LearnSubtitles objects for every subtitle in folder 'language' """
test_dir = "testfiles/" + language
subs = [
ls.LearnSubtitles(os.path.abspath(os.path... | 26.723404 | 85 | 0.648089 | 161 | 1,256 | 4.975155 | 0.403727 | 0.0799 | 0.067416 | 0.082397 | 0.141074 | 0.104869 | 0.104869 | 0 | 0 | 0 | 0 | 0.008239 | 0.226911 | 1,256 | 46 | 86 | 27.304348 | 0.814624 | 0.072452 | 0 | 0.0625 | 0 | 0 | 0.112263 | 0.043178 | 0 | 0 | 0 | 0 | 0.09375 | 1 | 0.125 | false | 0 | 0.125 | 0 | 0.28125 | 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 |
9dacec32c244293fcf0c09720725cd6c562e10da | 4,888 | py | Python | fast_downloader_mt/main.py | Kirozen/fast-downloader | febdcc8b6a6ad3b8d263a8923b8f24e8402df618 | [
"MIT"
] | null | null | null | fast_downloader_mt/main.py | Kirozen/fast-downloader | febdcc8b6a6ad3b8d263a8923b8f24e8402df618 | [
"MIT"
] | null | null | null | fast_downloader_mt/main.py | Kirozen/fast-downloader | febdcc8b6a6ad3b8d263a8923b8f24e8402df618 | [
"MIT"
] | null | null | null | from __future__ import annotations
import multiprocessing
import os
import re
import sys
from concurrent.futures import ThreadPoolExecutor
from dataclasses import dataclass, field
from itertools import chain
from pathlib import Path
from urllib.parse import urlparse
import click
import requests
from requests.models i... | 28.091954 | 88 | 0.625818 | 550 | 4,888 | 5.447273 | 0.341818 | 0.033378 | 0.013351 | 0.014686 | 0.056742 | 0.028705 | 0.028705 | 0 | 0 | 0 | 0 | 0.006354 | 0.259411 | 4,888 | 173 | 89 | 28.254335 | 0.820442 | 0 | 0 | 0.165563 | 0 | 0 | 0.067308 | 0.019231 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046358 | false | 0 | 0.092715 | 0.006623 | 0.18543 | 0.013245 | 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 |
9dad8057a50b53867020fcecaeb0676d2cfff102 | 4,362 | py | Python | sitch/sitchlib/geo_correlator.py | codecuisine/sensor | 06fb0908178af1ab673b95e7f435b873cc62e61b | [
"ECL-2.0",
"Apache-2.0",
"BSD-2-Clause"
] | 68 | 2016-08-08T17:28:59.000Z | 2021-11-26T09:31:52.000Z | sitch/sitchlib/geo_correlator.py | codecuisine/sensor | 06fb0908178af1ab673b95e7f435b873cc62e61b | [
"ECL-2.0",
"Apache-2.0",
"BSD-2-Clause"
] | 61 | 2016-08-20T21:01:01.000Z | 2020-07-22T06:10:45.000Z | sitch/sitchlib/geo_correlator.py | codecuisine/sensor | 06fb0908178af1ab673b95e7f435b873cc62e61b | [
"ECL-2.0",
"Apache-2.0",
"BSD-2-Clause"
] | 40 | 2017-01-28T23:06:22.000Z | 2021-08-13T15:09:43.000Z | """Correlate based on geograpgic information."""
from alert_manager import AlertManager
from utility import Utility
class GeoCorrelator(object):
"""Geographic correlator."""
def __init__(self, device_id):
"""Initialize the Geographic Correlator."""
self.geo_anchor = {}
self.threshold... | 44.969072 | 208 | 0.570381 | 505 | 4,362 | 4.744554 | 0.330693 | 0.035058 | 0.020033 | 0.01419 | 0.231219 | 0.086811 | 0.059265 | 0.026711 | 0 | 0 | 0 | 0.01162 | 0.348923 | 4,362 | 96 | 209 | 45.4375 | 0.832042 | 0.323017 | 0 | 0.211538 | 0 | 0 | 0.135374 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.038462 | 0 | 0.192308 | 0.019231 | 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 |
9dadf1bb28dc34ec81f4c906780d3dcd3137e862 | 1,697 | py | Python | grid_search_results_v1/get_vals_heatmap.py | malfarasplux/pnet2019 | ae34d5c84fb4d3985634b237a14dfb69e98b8339 | [
"BSD-3-Clause"
] | 1 | 2020-11-29T12:42:30.000Z | 2020-11-29T12:42:30.000Z | grid_search_results_v1/get_vals_heatmap.py | malfarasplux/pnet2019 | ae34d5c84fb4d3985634b237a14dfb69e98b8339 | [
"BSD-3-Clause"
] | null | null | null | grid_search_results_v1/get_vals_heatmap.py | malfarasplux/pnet2019 | ae34d5c84fb4d3985634b237a14dfb69e98b8339 | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
N =[20,40,50,75,100,150,200]
scale = [0.0001, 0.001, 0.005, 0.01, 0.1, 1, 10] ... | 38.568182 | 160 | 0.476134 | 245 | 1,697 | 3.171429 | 0.367347 | 0.045045 | 0.05148 | 0.019305 | 0.136422 | 0.092664 | 0 | 0 | 0 | 0 | 0 | 0.080675 | 0.371833 | 1,697 | 43 | 161 | 39.465116 | 0.648218 | 0.031821 | 0 | 0.114286 | 0 | 0 | 0.063376 | 0.023157 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.057143 | 0 | 0.057143 | 0.028571 | 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 |
9dafa0a196d3c478e9ef8c55c4f9dd2dd56b60ad | 1,457 | py | Python | _snippets/scrape_RAND_pdfs.py | vashu1/data_snippets | b0ae5230d60c2054c7b9278093533b7f71f3758b | [
"MIT"
] | 1 | 2021-02-10T20:33:43.000Z | 2021-02-10T20:33:43.000Z | _snippets/scrape_RAND_pdfs.py | vashu1/data_snippets | b0ae5230d60c2054c7b9278093533b7f71f3758b | [
"MIT"
] | null | null | null | _snippets/scrape_RAND_pdfs.py | vashu1/data_snippets | b0ae5230d60c2054c7b9278093533b7f71f3758b | [
"MIT"
] | null | null | null | # scrape articles from RAND site, see https://vashu11.livejournal.com/20523.html
import re
import requests
from bs4 import BeautifulSoup
import os
content = ['https://www.rand.org/pubs/papers.html'] + ['https://www.rand.org/pubs/papers.{}.html'.format(i) for i in range(2, 108)]
def get_articles(page):
page = requ... | 38.342105 | 180 | 0.577213 | 201 | 1,457 | 4.149254 | 0.363184 | 0.038369 | 0.057554 | 0.071942 | 0.280576 | 0.280576 | 0.189448 | 0.119904 | 0.119904 | 0.119904 | 0 | 0.016949 | 0.230611 | 1,457 | 37 | 181 | 39.378378 | 0.727029 | 0.053535 | 0 | 0.0625 | 0 | 0 | 0.18809 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.125 | 0 | 0.25 | 0.125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9db66809b3f7cfe04fff2e0d4fd9725d23130f54 | 2,422 | py | Python | inputs/fino2_dats.py | a2edap/WE-Validate | 6e4be8228c9b4f66fb1a056f7566030b79441f2e | [
"BSD-3-Clause"
] | 1 | 2022-01-21T08:09:03.000Z | 2022-01-21T08:09:03.000Z | inputs/fino2_dats.py | a2edap/WE-Validate | 6e4be8228c9b4f66fb1a056f7566030b79441f2e | [
"BSD-3-Clause"
] | null | null | null | inputs/fino2_dats.py | a2edap/WE-Validate | 6e4be8228c9b4f66fb1a056f7566030b79441f2e | [
"BSD-3-Clause"
] | 1 | 2021-06-14T09:32:36.000Z | 2021-06-14T09:32:36.000Z | # A parser for multiple FINO2 .dat files in a directory.
import os
import pathlib
import pandas as pd
import numpy as np
import glob
import sys
class fino2_dats:
"""FINO2 data class
"""
def __init__(self, info, conf):
self.path = os.path.join(
(pathlib.Path(os.getcwd()).parent), str... | 31.051282 | 78 | 0.514038 | 322 | 2,422 | 3.776398 | 0.400621 | 0.020559 | 0.016447 | 0.026316 | 0.078947 | 0.078947 | 0.078947 | 0.078947 | 0.078947 | 0.078947 | 0 | 0.031936 | 0.379438 | 2,422 | 77 | 79 | 31.454545 | 0.777112 | 0.28943 | 0 | 0 | 0 | 0 | 0.024522 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054054 | false | 0 | 0.162162 | 0 | 0.27027 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9db67e536e2a5337dee11670942d6aa03db5b908 | 2,481 | py | Python | bin/ess/dependencies.py | clu3bot/cora | de4d1af983c135184ebaf557271fa14c7c0e1849 | [
"MIT"
] | null | null | null | bin/ess/dependencies.py | clu3bot/cora | de4d1af983c135184ebaf557271fa14c7c0e1849 | [
"MIT"
] | null | null | null | bin/ess/dependencies.py | clu3bot/cora | de4d1af983c135184ebaf557271fa14c7c0e1849 | [
"MIT"
] | null | null | null | import subprocess as sp
import os
import time
import platform
from os.path import exists
#colar vars
class color:
lightblue='\033[1;34m' #light blue
lightred='\033[1;31m' #light red
lightgreen='\033[1;32m' #lightgreen
red='\033[0;31m' #red
yellow='\033[1;33m' #yellow
none='\033[0m' #no color
... | 20.675 | 84 | 0.584442 | 320 | 2,481 | 4.46875 | 0.334375 | 0.05035 | 0.041958 | 0.05035 | 0.100699 | 0.100699 | 0.100699 | 0.100699 | 0 | 0 | 0 | 0.046745 | 0.275695 | 2,481 | 119 | 85 | 20.84874 | 0.749026 | 0.044337 | 0 | 0.172414 | 0 | 0 | 0.221374 | 0.061917 | 0 | 0 | 0 | 0 | 0 | 1 | 0.091954 | false | 0 | 0.057471 | 0 | 0.367816 | 0.022989 | 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 |
9db72ff4ce32323ddaf8107b708ab0ac40987bfc | 2,748 | py | Python | src/bfh.py | Pella86/Snake4d | cdf3773b42efc888affa33dd22ebe56a48f6d979 | [
"MIT"
] | 79 | 2018-05-23T09:39:00.000Z | 2021-11-29T02:26:07.000Z | src/bfh.py | Pella86/Snake4d | cdf3773b42efc888affa33dd22ebe56a48f6d979 | [
"MIT"
] | 1 | 2020-06-13T17:57:14.000Z | 2020-06-16T15:53:40.000Z | src/bfh.py | Pella86/Snake4d | cdf3773b42efc888affa33dd22ebe56a48f6d979 | [
"MIT"
] | 6 | 2018-06-28T13:03:38.000Z | 2021-03-06T14:24:32.000Z | # -*- coding: utf-8 -*-
"""
Created on Wed Jun 27 17:24:58 2018
@author: Mauro
"""
#==============================================================================
# Imports
#==============================================================================
import struct
#=================================================... | 26.941176 | 79 | 0.409025 | 279 | 2,748 | 3.953405 | 0.329749 | 0.072529 | 0.045331 | 0.058024 | 0.17951 | 0.114234 | 0.114234 | 0.063463 | 0.063463 | 0.063463 | 0 | 0.01003 | 0.274381 | 2,748 | 101 | 80 | 27.207921 | 0.543129 | 0.456696 | 0 | 0.2 | 0 | 0 | 0.011791 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15 | false | 0 | 0.025 | 0.025 | 0.275 | 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 |
9db736834f35ad283117ff978c76815cc0ba771c | 8,726 | py | Python | bin/read_analysis.py | louperelo/longmetarg | 026b66c3621a4bcc71f5bc8a73955faf57978985 | [
"MIT"
] | null | null | null | bin/read_analysis.py | louperelo/longmetarg | 026b66c3621a4bcc71f5bc8a73955faf57978985 | [
"MIT"
] | null | null | null | bin/read_analysis.py | louperelo/longmetarg | 026b66c3621a4bcc71f5bc8a73955faf57978985 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import pandas as pd
from scipy import stats
import numpy as np
#import seaborn as sns
#import matplotlib.pyplot as plt
import math
from Bio import SeqIO
import io
import re
import pysam
from functools import reduce
import argparse
import os
parser = argparse.ArgumentParser()
parser.add_argum... | 47.68306 | 180 | 0.655168 | 1,280 | 8,726 | 4.352344 | 0.244531 | 0.01795 | 0.018309 | 0.015078 | 0.156704 | 0.135703 | 0.06839 | 0.027464 | 0.027464 | 0 | 0 | 0.009771 | 0.225877 | 8,726 | 182 | 181 | 47.945055 | 0.814952 | 0.358584 | 0 | 0.055046 | 0 | 0.009174 | 0.205235 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045872 | false | 0 | 0.100917 | 0.009174 | 0.174312 | 0.009174 | 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 |
9db737d0aa2bbc9904ff5f6209cdc235a2493a9c | 6,315 | py | Python | parkinglot/admin.py | YangWanjun/areaparking | b08bc9b8f8d5f602d823115263b9d040edb9f245 | [
"Apache-2.0"
] | 1 | 2018-08-02T04:00:44.000Z | 2018-08-02T04:00:44.000Z | parkinglot/admin.py | YangWanjun/areaparking | b08bc9b8f8d5f602d823115263b9d040edb9f245 | [
"Apache-2.0"
] | null | null | null | parkinglot/admin.py | YangWanjun/areaparking | b08bc9b8f8d5f602d823115263b9d040edb9f245 | [
"Apache-2.0"
] | null | null | null | import datetime
from django.contrib import admin
from django.core.exceptions import ObjectDoesNotExist
from django.db.models import Max
from . import models, forms
from address.biz import geocode
from utils import common
from utils.django_base import BaseAdmin
# Register your models here.
class ParkingPositionInlin... | 33.951613 | 133 | 0.62977 | 625 | 6,315 | 6.1824 | 0.28 | 0.023292 | 0.047619 | 0.060041 | 0.173913 | 0.150104 | 0.097308 | 0.080228 | 0.041925 | 0.041925 | 0 | 0.002142 | 0.260808 | 6,315 | 185 | 134 | 34.135135 | 0.825621 | 0.08361 | 0 | 0.175182 | 0 | 0 | 0.106376 | 0.023042 | 0 | 0 | 0 | 0 | 0 | 1 | 0.021898 | false | 0.014599 | 0.058394 | 0.007299 | 0.423358 | 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 |
9db76eb5840b9b7ac5d4ffae358c55f69c7c5da4 | 965 | py | Python | graficas.py | dianuchitop/el26 | e84bb35ca9d6a603d515a624a85dae27cd4d10f2 | [
"MIT"
] | null | null | null | graficas.py | dianuchitop/el26 | e84bb35ca9d6a603d515a624a85dae27cd4d10f2 | [
"MIT"
] | null | null | null | graficas.py | dianuchitop/el26 | e84bb35ca9d6a603d515a624a85dae27cd4d10f2 | [
"MIT"
] | null | null | null | import matplotlib
import matplotlib.pyplot as plt
import numpy as np
filenames=["euler.dat","rk4.dat","leapfrog.dat"]
fig, axs = plt.subplots(nrows=3, ncols=3)
ax=axs[0][0]
ax.set_title('Euler')
ax=axs[0][1]
ax.set_title('RK4')
ax=axs[0][2]
ax.set_title('Leap_frog')
for i in range(3):
f=open(filenames[i],"r")
s... | 24.74359 | 48 | 0.635233 | 181 | 965 | 3.292818 | 0.320442 | 0.125839 | 0.040268 | 0.065436 | 0.33557 | 0.33557 | 0.174497 | 0.090604 | 0.090604 | 0.090604 | 0 | 0.049939 | 0.149223 | 965 | 38 | 49 | 25.394737 | 0.676005 | 0 | 0 | 0.216216 | 0 | 0 | 0.102697 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.081081 | 0 | 0.081081 | 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 |
9dbc6591cdea251b119f8bcead36767b18ac8b75 | 4,654 | py | Python | mailpile/plugins/contacts.py | k0nsl/Mailpile | 556f5f9040c4e01b005b4d633f3213668a474936 | [
"Apache-2.0"
] | null | null | null | mailpile/plugins/contacts.py | k0nsl/Mailpile | 556f5f9040c4e01b005b4d633f3213668a474936 | [
"Apache-2.0"
] | null | null | null | mailpile/plugins/contacts.py | k0nsl/Mailpile | 556f5f9040c4e01b005b4d633f3213668a474936 | [
"Apache-2.0"
] | null | null | null | import mailpile.plugins
from mailpile.commands import Command
from mailpile.mailutils import Email, ExtractEmails
from mailpile.util import *
class VCard(Command):
"""Add/remove/list/edit vcards"""
ORDER = ('Internals', 6)
KIND = ''
SYNOPSIS = '<nickname>'
def command(self, save=True):
session, config =... | 30.220779 | 84 | 0.613666 | 608 | 4,654 | 4.577303 | 0.225329 | 0.051743 | 0.054977 | 0.039526 | 0.247575 | 0.17571 | 0.139418 | 0.103845 | 0.036651 | 0 | 0 | 0.004757 | 0.232058 | 4,654 | 153 | 85 | 30.418301 | 0.773923 | 0.027503 | 0 | 0.20155 | 0 | 0 | 0.096831 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.085271 | false | 0.015504 | 0.031008 | 0.007752 | 0.294574 | 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 |
9dbe26545533c7c7d397d2847ba2a1eeca8ad8ef | 1,663 | py | Python | hw2/codes/plot.py | Trinkle23897/Artificial-Neural-Network-THU-2018 | 3326ed131298caaaf3fd0b6af80de37fd1ff9526 | [
"MIT"
] | 38 | 2019-01-23T07:14:19.000Z | 2022-03-07T06:03:21.000Z | hw2/codes/plot.py | ywythu/Artificial-Neural-Network-THU-2018 | 3326ed131298caaaf3fd0b6af80de37fd1ff9526 | [
"MIT"
] | null | null | null | hw2/codes/plot.py | ywythu/Artificial-Neural-Network-THU-2018 | 3326ed131298caaaf3fd0b6af80de37fd1ff9526 | [
"MIT"
] | 17 | 2019-03-30T06:33:06.000Z | 2021-12-24T10:42:39.000Z | import numpy as np
from pylab import *
D = 10
acc1 = np.load('res/small/acc.npy').reshape(D, -1).mean(axis=0)
loss1 = np.load('res/small/loss.npy').reshape(D, -1).mean(axis=0)
acc2 = np.load('res/large/acc.npy').reshape(D, -1).mean(axis=0)
loss2 = np.load('res/large/loss.npy').reshape(D, -1).mean(axis=0)
cut = int(acc... | 41.575 | 91 | 0.654841 | 313 | 1,663 | 3.434505 | 0.364217 | 0.022326 | 0.089302 | 0.111628 | 0.433488 | 0.316279 | 0.316279 | 0.266047 | 0.063256 | 0.063256 | 0 | 0.1718 | 0.121467 | 1,663 | 40 | 92 | 41.575 | 0.563997 | 0.323512 | 0 | 0.25 | 0 | 0 | 0.203041 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.0625 | 0 | 0.0625 | 0.09375 | 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 |
9dbe2a0458905fed950a4384ff34ad0dc77f394d | 696 | py | Python | app/helpers/__init__.py | jaywonder20/Flask_Api_Starter | d3cf69f4742923737e826261f5e737f00d1c6270 | [
"MIT"
] | 1 | 2020-07-28T13:28:42.000Z | 2020-07-28T13:28:42.000Z | app/helpers/__init__.py | jaywonder20/Flask_Api_Starter | d3cf69f4742923737e826261f5e737f00d1c6270 | [
"MIT"
] | null | null | null | app/helpers/__init__.py | jaywonder20/Flask_Api_Starter | d3cf69f4742923737e826261f5e737f00d1c6270 | [
"MIT"
] | null | null | null | from flask_restful import reqparse
def send_api_response(response_code, response_message, http_status, response_data={}):
if http_status not in [200, 201]:
return {'responseCode': response_code,
'responseMessage': response_message
}, int(http_status), \
{"Acc... | 33.142857 | 86 | 0.616379 | 69 | 696 | 5.971014 | 0.565217 | 0.097087 | 0.126214 | 0.145631 | 0.470874 | 0.470874 | 0.470874 | 0 | 0 | 0 | 0 | 0.011742 | 0.265805 | 696 | 20 | 87 | 34.8 | 0.794521 | 0 | 0 | 0.4 | 0 | 0 | 0.21408 | 0.077586 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.066667 | 0 | 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 |
9dc60e93e26c2a9f12204a366a70cced0bf9b339 | 4,081 | py | Python | chapter_3_featurization/text_features.py | fancyerii/voicebook | def82da8577086d0361643a05fec2463006533a9 | [
"Apache-2.0"
] | 1 | 2020-03-05T01:19:17.000Z | 2020-03-05T01:19:17.000Z | chapter_3_featurization/text_features.py | fancyerii/voicebook | def82da8577086d0361643a05fec2463006533a9 | [
"Apache-2.0"
] | null | null | null | chapter_3_featurization/text_features.py | fancyerii/voicebook | def82da8577086d0361643a05fec2463006533a9 | [
"Apache-2.0"
] | null | null | null | '''
================================================
## VOICEBOOK REPOSITORY ##
================================================
repository name: voicebook
repository version: 1.0
repository link: https://github.com/jim-schwoebel/voicebook
author: Jim Schwoebel
author contact: js@neur... | 34.584746 | 121 | 0.639304 | 497 | 4,081 | 5.201207 | 0.480885 | 0.027079 | 0.009284 | 0.011605 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013956 | 0.192355 | 4,081 | 117 | 122 | 34.880342 | 0.770328 | 0.669199 | 0 | 0 | 0 | 0 | 0.078137 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.222222 | 0 | 0.305556 | 0.055556 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9dcad228e81ec6b0f9a3bb86c1710900d1f1972c | 1,755 | py | Python | 3. Python Advanced (September 2021)/3.2 Python OOP (October 2021)/24. Exam Preparation/22.08.2020/project/everland.py | kzborisov/SoftUni | ccb2b8850adc79bfb2652a45124c3ff11183412e | [
"MIT"
] | 1 | 2021-02-07T07:51:12.000Z | 2021-02-07T07:51:12.000Z | 3. Python Advanced (September 2021)/3.2 Python OOP (October 2021)/24. Exam Preparation/22.08.2020/project/everland.py | kzborisov/softuni | 9c5b45c74fa7d9748e9b3ea65a5ae4e15c142751 | [
"MIT"
] | null | null | null | 3. Python Advanced (September 2021)/3.2 Python OOP (October 2021)/24. Exam Preparation/22.08.2020/project/everland.py | kzborisov/softuni | 9c5b45c74fa7d9748e9b3ea65a5ae4e15c142751 | [
"MIT"
] | null | null | null | class Everland:
def __init__(self):
self.rooms = []
def add_room(self, room):
self.rooms.append(room)
def get_monthly_consumptions(self):
total_consumption = 0
for room in self.rooms:
total_consumption += room.expenses + room.room_cost
return f"Monthly c... | 39 | 100 | 0.520228 | 206 | 1,755 | 4.305825 | 0.291262 | 0.071026 | 0.049605 | 0.029312 | 0.200676 | 0.11274 | 0 | 0 | 0 | 0 | 0 | 0.011638 | 0.363533 | 1,755 | 44 | 101 | 39.886364 | 0.782453 | 0 | 0 | 0.05 | 0 | 0.025 | 0.271795 | 0.039316 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0 | 0 | 0.225 | 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 |
9dcd01c7a81f81cad912ec87f997c4e5ba58f9bb | 2,448 | py | Python | minifold/log.py | nokia/minifold | 3687d32ab6119dc8293ae370c8c4ba9bbbb47deb | [
"BSD-3-Clause"
] | 15 | 2018-09-03T09:40:59.000Z | 2021-07-16T16:14:46.000Z | src/log.py | Infinite-Blue-1042/minifold | cd0aa9207f9e1819ed2ecbb24373cdcfe27abd16 | [
"BSD-3-Clause"
] | null | null | null | src/log.py | Infinite-Blue-1042/minifold | cd0aa9207f9e1819ed2ecbb24373cdcfe27abd16 | [
"BSD-3-Clause"
] | 8 | 2019-01-25T07:18:59.000Z | 2021-04-07T17:54:54.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# This file is part of the minifold project.
# https://github.com/nokia/minifold
__author__ = "Marc-Olivier Buob"
__maintainer__ = "Marc-Olivier Buob"
__email__ = "marc-olivier.buob@nokia-bell-labs.com"
__copyright__ = "Copyright (C) 2018, Nokia"
__license__ ... | 24 | 114 | 0.562908 | 296 | 2,448 | 4.493243 | 0.381757 | 0.052632 | 0.021053 | 0.03609 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02042 | 0.319853 | 2,448 | 101 | 115 | 24.237624 | 0.778378 | 0.099265 | 0 | 0.12 | 0 | 0 | 0.096128 | 0.034624 | 0 | 0 | 0 | 0.009901 | 0 | 1 | 0.093333 | false | 0 | 0.026667 | 0.013333 | 0.226667 | 0.12 | 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 |
9dce2d32fa35d3b007796ab403b5019d5baeeffb | 2,820 | py | Python | data_collection/omscs_website/omscs_cleaner.py | yashchitalia/jack-holmes | 1ce3c65c1477390fb15d99a14f608f62745548b1 | [
"Apache-2.0"
] | 1 | 2017-03-30T02:25:18.000Z | 2017-03-30T02:25:18.000Z | data_collection/omscs_website/omscs_cleaner.py | yashchitalia/jack-holmes | 1ce3c65c1477390fb15d99a14f608f62745548b1 | [
"Apache-2.0"
] | null | null | null | data_collection/omscs_website/omscs_cleaner.py | yashchitalia/jack-holmes | 1ce3c65c1477390fb15d99a14f608f62745548b1 | [
"Apache-2.0"
] | null | null | null | from bs4 import BeautifulSoup
import re
import urllib
import pickle as pkl
def cleanhtml(raw_html):
cleanr = re.compile('<.*?>')
cleantext = re.sub(cleanr, '', raw_html)
cleanr_still = re.compile('\\xa0')
cleanertext = re.sub(cleanr_still, '', cleantext)
cleanr_even = re.compile('\\u2019s')
cle... | 40.285714 | 91 | 0.575887 | 298 | 2,820 | 5.174497 | 0.278523 | 0.093385 | 0.103761 | 0.077821 | 0.411154 | 0.392996 | 0.239948 | 0.138781 | 0.114137 | 0.114137 | 0 | 0.014834 | 0.306738 | 2,820 | 69 | 92 | 40.869565 | 0.773913 | 0 | 0 | 0.274194 | 0 | 0 | 0.099681 | 0.010642 | 0 | 0 | 0 | 0 | 0 | 1 | 0.016129 | false | 0 | 0.064516 | 0 | 0.096774 | 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 |
9dce34cc1f5685467f230a6aaddab0a3ca10dd09 | 1,116 | py | Python | testinfra/test_hypervisor-runc.py | devbox-tools/sfc | 0a5a9c3db165b35506f84d4c2dbfc1dace3fcea1 | [
"Apache-2.0"
] | 1 | 2019-02-26T13:25:17.000Z | 2019-02-26T13:25:17.000Z | testinfra/test_hypervisor-runc.py | devbox-tools/sfc | 0a5a9c3db165b35506f84d4c2dbfc1dace3fcea1 | [
"Apache-2.0"
] | null | null | null | testinfra/test_hypervisor-runc.py | devbox-tools/sfc | 0a5a9c3db165b35506f84d4c2dbfc1dace3fcea1 | [
"Apache-2.0"
] | null | null | null | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under t... | 39.857143 | 75 | 0.713262 | 164 | 1,116 | 4.756098 | 0.670732 | 0.076923 | 0.033333 | 0.041026 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008989 | 0.202509 | 1,116 | 27 | 76 | 41.333333 | 0.867416 | 0.508065 | 0 | 0 | 0 | 0 | 0.251866 | 0.179104 | 0 | 0 | 0 | 0 | 0.181818 | 1 | 0.181818 | false | 0 | 0.181818 | 0 | 0.454545 | 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 |
9dcee3a8fc687322519c4ee6dd19ea787ec8d273 | 280 | py | Python | Frameworks/urls.py | MiniJez/TP_Django | e7540f3178d44efeab69a8c8bea14a70fdaa9b4e | [
"MIT"
] | null | null | null | Frameworks/urls.py | MiniJez/TP_Django | e7540f3178d44efeab69a8c8bea14a70fdaa9b4e | [
"MIT"
] | null | null | null | Frameworks/urls.py | MiniJez/TP_Django | e7540f3178d44efeab69a8c8bea14a70fdaa9b4e | [
"MIT"
] | null | null | null | from django.urls import path
from .views import index, create, delete, update
urlpatterns = [
path('', index, name='index'),
path('create/', create, name='create'),
path('delete/<int:pk>', delete, name='delete'),
path('update/<int:pk>', update, name='update'),
] | 28 | 51 | 0.639286 | 36 | 280 | 4.972222 | 0.388889 | 0.055866 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.157143 | 280 | 10 | 52 | 28 | 0.758475 | 0 | 0 | 0 | 0 | 0 | 0.213523 | 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 |
9dd02fb84f2d21edf2c3f482fb528f7ff864783d | 1,831 | py | Python | scrape.py | valvoda/holjplus | 6a214911b477adf1253b43e46f7f5afc3076a86a | [
"MIT"
] | null | null | null | scrape.py | valvoda/holjplus | 6a214911b477adf1253b43e46f7f5afc3076a86a | [
"MIT"
] | null | null | null | scrape.py | valvoda/holjplus | 6a214911b477adf1253b43e46f7f5afc3076a86a | [
"MIT"
] | null | null | null | """
Adapted from https://realpython.com/python-web-scraping-practical-introduction/
for the purpose of scraping https://publications.parliament.uk/pa/ld/ldjudgmt.HTML
to create an expanded HOLJ+ corpus
"""
import requests
from requests import get
from requests.exceptions import RequestException
from contextlib import ... | 30.516667 | 84 | 0.616057 | 237 | 1,831 | 4.654008 | 0.49789 | 0.049864 | 0.032638 | 0.027199 | 0.036265 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005344 | 0.284544 | 1,831 | 59 | 85 | 31.033898 | 0.836641 | 0.293829 | 0 | 0.066667 | 0 | 0 | 0.162299 | 0 | 0 | 0 | 0 | 0 | 0.066667 | 1 | 0.1 | false | 0 | 0.133333 | 0 | 0.4 | 0.1 | 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 |
9dd06c5c9ed12f49b25dc9756a8a419ae3530b18 | 1,881 | py | Python | emotional_ai/model.py | fuluny/Emotional-AI | 1372933ec410f72cd500513ea560f43167382e34 | [
"MIT"
] | null | null | null | emotional_ai/model.py | fuluny/Emotional-AI | 1372933ec410f72cd500513ea560f43167382e34 | [
"MIT"
] | null | null | null | emotional_ai/model.py | fuluny/Emotional-AI | 1372933ec410f72cd500513ea560f43167382e34 | [
"MIT"
] | null | null | null | # #!/usr/bin/python
import os
import numpy as np
import pandas as pd
from keras.models import load_model
from keras.models import Sequential
from keras.utils import np_utils
from keras.layers.core import Dense, Activation, Dropout
from keras import optimizers
from matplotlib import pyplot as plt
print('Loading data... | 25.767123 | 81 | 0.747475 | 306 | 1,881 | 4.509804 | 0.418301 | 0.098551 | 0.056522 | 0.07971 | 0.176087 | 0.176087 | 0.176087 | 0.176087 | 0.153623 | 0.153623 | 0 | 0.034767 | 0.09782 | 1,881 | 72 | 82 | 26.125 | 0.778433 | 0.14673 | 0 | 0.2 | 0 | 0 | 0.111041 | 0.015056 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.18 | 0 | 0.18 | 0.14 | 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 |
9dd27bec72ba1ef4b5afcb916eaaa9109718bd5c | 2,487 | py | Python | detect_port_services.py | amir78729/penetration-test-project | c85376303ce0451e2e3a3150617484d5e6837168 | [
"MIT"
] | 1 | 2022-02-04T19:29:18.000Z | 2022-02-04T19:29:18.000Z | detect_port_services.py | amir78729/penetration-test-project | c85376303ce0451e2e3a3150617484d5e6837168 | [
"MIT"
] | null | null | null | detect_port_services.py | amir78729/penetration-test-project | c85376303ce0451e2e3a3150617484d5e6837168 | [
"MIT"
] | null | null | null | from socket import socket, gaierror, getservbyport, AF_INET, SOCK_STREAM, setdefaulttimeout
from tqdm import tqdm
from datetime import datetime
def detect_port_services(ip, range_start, range_end):
port_services = {}
port_detecting_progress = tqdm(range(range_start, range_end + 1))
try:
for port i... | 38.859375 | 115 | 0.556494 | 281 | 2,487 | 4.725979 | 0.362989 | 0.135542 | 0.056476 | 0.067771 | 0.118976 | 0.103916 | 0.103916 | 0.103916 | 0.103916 | 0.070783 | 0 | 0.005744 | 0.29996 | 2,487 | 63 | 116 | 39.47619 | 0.756462 | 0.019702 | 0 | 0.098039 | 0 | 0 | 0.157225 | 0.052956 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039216 | false | 0 | 0.058824 | 0 | 0.117647 | 0.058824 | 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 |
9dd2a344fe4c04f0564d9da26c93b7f70200954e | 14,829 | py | Python | zvdata/apps/data_app.py | freedom6xiaobai/zvt | f4ba510a30f1014cc0e48b85370b0d3936bd851a | [
"MIT"
] | 1 | 2019-10-28T08:03:26.000Z | 2019-10-28T08:03:26.000Z | zvdata/apps/data_app.py | freedom6xiaobai/zvt | f4ba510a30f1014cc0e48b85370b0d3936bd851a | [
"MIT"
] | null | null | null | zvdata/apps/data_app.py | freedom6xiaobai/zvt | f4ba510a30f1014cc0e48b85370b0d3936bd851a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import json
from collections import OrderedDict
from typing import List
import dash_core_components as dcc
import dash_html_components as html
import dash_table
import pandas as pd
from dash import dash
from dash.dependencies import Input, Output, State
from zvdata import IntervalLevel
from zv... | 36.796526 | 120 | 0.52458 | 1,470 | 14,829 | 5.104762 | 0.167347 | 0.025986 | 0.012127 | 0.025586 | 0.196962 | 0.102212 | 0.102212 | 0.057303 | 0.045842 | 0.033849 | 0 | 0.004586 | 0.353024 | 14,829 | 402 | 121 | 36.88806 | 0.777569 | 0.047947 | 0 | 0.139535 | 0 | 0 | 0.144216 | 0.009155 | 0 | 0 | 0 | 0 | 0 | 1 | 0.026578 | false | 0 | 0.059801 | 0 | 0.122924 | 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 |
9dd3506fa61a6efdbedcfd729d5128ff929686bf | 4,333 | py | Python | src/hmmmr/non_batched_functions.py | carojasq/HMMMR | f94846d8f02fe8993a0e5fb55e936dd1c1596187 | [
"MIT"
] | null | null | null | src/hmmmr/non_batched_functions.py | carojasq/HMMMR | f94846d8f02fe8993a0e5fb55e936dd1c1596187 | [
"MIT"
] | 1 | 2019-11-01T08:32:04.000Z | 2019-11-01T08:32:04.000Z | src/hmmmr/non_batched_functions.py | carojasq/HMMMR | f94846d8f02fe8993a0e5fb55e936dd1c1596187 | [
"MIT"
] | 1 | 2019-04-05T00:06:31.000Z | 2019-04-05T00:06:31.000Z | from common_libs import *
from cublas_functions import *
linalg.init()
def cublas_calculate_transpose_non_batched(h, a_gpu):
cublas_transpose = get_single_transpose_function(a_gpu)
m, k = a_gpu.shape
at_gpu = gpuarray.empty((k, m), a_gpu.dtype)
k, n = at_gpu.shape
# Calculate transpose
transa =... | 41.663462 | 120 | 0.686591 | 710 | 4,333 | 3.930986 | 0.209859 | 0.038696 | 0.045862 | 0.049445 | 0.460408 | 0.398424 | 0.393049 | 0.331781 | 0.291652 | 0.291652 | 0 | 0.014252 | 0.206554 | 4,333 | 104 | 121 | 41.663462 | 0.797557 | 0.103162 | 0 | 0.320988 | 0 | 0 | 0.058396 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.024691 | 0.012346 | 0.197531 | 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 |
9dd862d583434b6ed73a9e6519551c5f6c54561e | 1,575 | py | Python | examples/run_fieldtrip_IF.py | annapasca/ephypype | 6dbacdd6913234a28b690b401862ff062accecc7 | [
"BSD-3-Clause"
] | 18 | 2018-04-18T12:14:52.000Z | 2022-02-25T19:31:44.000Z | examples/run_fieldtrip_IF.py | annapasca/ephypype | 6dbacdd6913234a28b690b401862ff062accecc7 | [
"BSD-3-Clause"
] | 106 | 2017-12-09T13:34:30.000Z | 2022-03-12T01:02:17.000Z | examples/run_fieldtrip_IF.py | annapasca/ephypype | 6dbacdd6913234a28b690b401862ff062accecc7 | [
"BSD-3-Clause"
] | 13 | 2017-05-28T20:38:56.000Z | 2022-03-06T15:58:02.000Z | """
.. _ft_seeg_example:
=========================================
Apply bipolar montage to depth electrodes
=========================================
This scripts shows a very simple example on how to create an Interface wrapping
a desired function of a Matlab toolbox (|FieldTrip|).
.. |FieldTrip| raw:: html
<a... | 32.8125 | 95 | 0.665397 | 205 | 1,575 | 4.956098 | 0.55122 | 0.075787 | 0.083661 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012866 | 0.111746 | 1,575 | 47 | 96 | 33.510638 | 0.713367 | 0.43619 | 0 | 0 | 0 | 0 | 0.180678 | 0.097867 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.235294 | 0 | 0.235294 | 0.058824 | 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 |
9dda3faed30d9ee945694fcad8f057ec177bc507 | 6,568 | py | Python | rak_net/protocol/handler.py | L0RD-ZER0/aio-rak-net | 0ec0b6ac4daf6a4b146ac94ac2d0313c13975363 | [
"MIT"
] | 1 | 2021-12-02T04:37:08.000Z | 2021-12-02T04:37:08.000Z | rak_net/protocol/handler.py | L0RD-ZER0/aio-rak-net | 0ec0b6ac4daf6a4b146ac94ac2d0313c13975363 | [
"MIT"
] | null | null | null | rak_net/protocol/handler.py | L0RD-ZER0/aio-rak-net | 0ec0b6ac4daf6a4b146ac94ac2d0313c13975363 | [
"MIT"
] | null | null | null | from __future__ import annotations
from typing import TYPE_CHECKING
from .packet import (
ConnectionRequest,
ConnectionRequestAccepted,
NewIncomingConnection,
OfflinePing,
OfflinePong,
OnlinePing,
OnlinePong,
OpenConnectionRequest1,
OpenConnectionReply1,
OpenConnectionRequest2,
... | 40.294479 | 134 | 0.676309 | 711 | 6,568 | 6.075949 | 0.136428 | 0.095833 | 0.030556 | 0.044444 | 0.664583 | 0.615509 | 0.615509 | 0.588657 | 0.544444 | 0.544444 | 0 | 0.007262 | 0.24528 | 6,568 | 162 | 135 | 40.54321 | 0.864232 | 0.0169 | 0 | 0.397959 | 0 | 0 | 0.006943 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.010204 | false | 0 | 0.061224 | 0 | 0.153061 | 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 |
9ddc3d1e0254e6926c024e8ba5ff8037971f9673 | 5,434 | py | Python | software/pynguin/pynguin/testcase/execution/monkeytypeexecutor.py | se2p/artifact-pynguin-ssbse2020 | 32b5f4d27ef1b81e5c541471e98fa6e50f5ce8a6 | [
"CC-BY-4.0"
] | 3 | 2020-08-20T10:27:13.000Z | 2021-11-02T20:28:16.000Z | software/pynguin/pynguin/testcase/execution/monkeytypeexecutor.py | se2p/artifact-pynguin-ssbse2020 | 32b5f4d27ef1b81e5c541471e98fa6e50f5ce8a6 | [
"CC-BY-4.0"
] | null | null | null | software/pynguin/pynguin/testcase/execution/monkeytypeexecutor.py | se2p/artifact-pynguin-ssbse2020 | 32b5f4d27ef1b81e5c541471e98fa6e50f5ce8a6 | [
"CC-BY-4.0"
] | null | null | null | # This file is part of Pynguin.
#
# Pynguin is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Pynguin is distributed in the ho... | 37.219178 | 88 | 0.636916 | 623 | 5,434 | 5.370787 | 0.346709 | 0.012552 | 0.010759 | 0.017035 | 0.083084 | 0.068141 | 0.058577 | 0.038255 | 0.038255 | 0.038255 | 0 | 0.002548 | 0.277696 | 5,434 | 145 | 89 | 37.475862 | 0.849936 | 0.177033 | 0 | 0.019608 | 0 | 0 | 0.020777 | 0 | 0 | 0 | 0 | 0 | 0.009804 | 1 | 0.137255 | false | 0 | 0.127451 | 0.039216 | 0.382353 | 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 |
9ddca262545e263f1aa26d015f1d96948d664c84 | 7,778 | py | Python | testproject/testapp/tests/test_history_entries.py | innovationinit/django-wicked-historian | bef0011639791e2275c6bf2272b57542174b4cf0 | [
"BSD-2-Clause"
] | null | null | null | testproject/testapp/tests/test_history_entries.py | innovationinit/django-wicked-historian | bef0011639791e2275c6bf2272b57542174b4cf0 | [
"BSD-2-Clause"
] | null | null | null | testproject/testapp/tests/test_history_entries.py | innovationinit/django-wicked-historian | bef0011639791e2275c6bf2272b57542174b4cf0 | [
"BSD-2-Clause"
] | 1 | 2022-03-15T07:29:58.000Z | 2022-03-15T07:29:58.000Z | "Test history entries for migrated, obsolete fields"
from datetime import (
time,
timedelta,
)
from decimal import Decimal
from typing import (
Any,
Dict,
)
from django.contrib.auth.models import User
from django.db import models
from wicked_historian.usersmuggler import usersmuggler
from wicked_histo... | 36.862559 | 125 | 0.613525 | 832 | 7,778 | 5.426683 | 0.217548 | 0.06113 | 0.060244 | 0.034109 | 0.397785 | 0.314507 | 0.278627 | 0.235216 | 0.204208 | 0.184718 | 0 | 0.009993 | 0.279506 | 7,778 | 210 | 126 | 37.038095 | 0.795682 | 0.019799 | 0 | 0.18617 | 0 | 0 | 0.147829 | 0.011733 | 0 | 0 | 0 | 0 | 0.047872 | 1 | 0.058511 | false | 0 | 0.053191 | 0.010638 | 0.132979 | 0.005319 | 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 |
9ddcebb4e8c7a0186684b52cc9c2d36af16dce87 | 12,639 | py | Python | mmdetection/third_party/text_perceptron/mmdet/models/seg_heads/tp_head.py | chengzhanzhan/DAVAR-Lab-OCR | 79776915c616731698d452d935e7b599b1ce46f0 | [
"Apache-2.0"
] | 4 | 2021-07-08T03:08:16.000Z | 2022-03-20T02:53:29.000Z | mmdetection/third_party/text_perceptron/mmdet/models/seg_heads/tp_head.py | chengzhanzhan/DAVAR-Lab-OCR | 79776915c616731698d452d935e7b599b1ce46f0 | [
"Apache-2.0"
] | null | null | null | mmdetection/third_party/text_perceptron/mmdet/models/seg_heads/tp_head.py | chengzhanzhan/DAVAR-Lab-OCR | 79776915c616731698d452d935e7b599b1ce46f0 | [
"Apache-2.0"
] | null | null | null | """
####################################################################################################
# Copyright Info : Copyright (c) Davar Lab @ Hikvision Research Institute. All rights reserved.
# Filename : tp_head.py
# Abstract : Text Perceptron head structure, mainly including losses for s... | 48.240458 | 131 | 0.600047 | 1,692 | 12,639 | 4.14539 | 0.130024 | 0.052467 | 0.04491 | 0.04876 | 0.465925 | 0.428144 | 0.325777 | 0.286285 | 0.269461 | 0.246792 | 0 | 0.023582 | 0.305483 | 12,639 | 261 | 132 | 48.425287 | 0.775461 | 0.319329 | 0 | 0.123288 | 0 | 0 | 0.012198 | 0 | 0 | 0 | 0 | 0 | 0.013699 | 1 | 0.041096 | false | 0 | 0.047945 | 0 | 0.123288 | 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 |