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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2f1989e325bb85e0738bbeae4175fa2a163031d0 | 1,750 | py | Python | Problem 001-150 Python/pb035.py | Adamssss/projectEuler | 25881b1bd82876e81197756f62ab5b0d73e3e6c8 | [
"MIT"
] | 2 | 2015-02-11T05:47:42.000Z | 2015-02-11T05:47:51.000Z | Problem 001-150 Python/pb035.py | Adamssss/projectEuler | 25881b1bd82876e81197756f62ab5b0d73e3e6c8 | [
"MIT"
] | 1 | 2015-04-13T06:36:21.000Z | 2015-04-13T06:36:21.000Z | Problem 001-150 Python/pb035.py | Adamssss/projectEuler | 25881b1bd82876e81197756f62ab5b0d73e3e6c8 | [
"MIT"
] | null | null | null | import math
import time
t1 = time.time()
N = 1000000
n = (N+1)//2
p = [True]*(n)
i = 1
prime = [2]
while i < n:
if p[i]:
t = 2*i+1
prime.append(t)
j = i
while j < n:
p[j] = False
j += t
i += 1
def isPrime(item):
root = math.floor(math.sqrt... | 18.617021 | 58 | 0.430857 | 213 | 1,750 | 3.539906 | 0.248826 | 0.015915 | 0.018568 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.051255 | 0.453714 | 1,750 | 93 | 59 | 18.817204 | 0.737448 | 0.028 | 0 | 0.178082 | 0 | 0 | 0.002946 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027397 | false | 0 | 0.027397 | 0 | 0.109589 | 0.027397 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f1a5c2760e9a1b86d6eb2f562c21e3dbc87be05 | 2,190 | py | Python | BAP/adapters.py | EleutherAGI/summarisation | d432873e1ba171f47371b8b0df7235478b52ca99 | [
"CC-BY-4.0"
] | 11 | 2021-05-12T14:11:58.000Z | 2022-01-25T04:23:38.000Z | BAP/adapters.py | EleutherAGI/summarisation | d432873e1ba171f47371b8b0df7235478b52ca99 | [
"CC-BY-4.0"
] | 3 | 2021-05-13T11:37:35.000Z | 2021-05-13T11:50:15.000Z | BAP/adapters.py | EleutherAGI/summarisation | d432873e1ba171f47371b8b0df7235478b52ca99 | [
"CC-BY-4.0"
] | null | null | null | import torch
import torch.nn as nn
from collections import OrderedDict
class AdapterLayer(nn.Module):
def __init__(self, input_size, reduction_factor):
super(AdapterLayer, self).__init__()
self.skip_adapter = False
self.adapter = nn.Sequential(nn.Linear(input_size, input_size//reduc... | 39.818182 | 111 | 0.594977 | 281 | 2,190 | 4.459075 | 0.241993 | 0.083799 | 0.075818 | 0.057462 | 0.48763 | 0.422985 | 0.408619 | 0.379888 | 0.322426 | 0.322426 | 0 | 0.003856 | 0.289498 | 2,190 | 55 | 112 | 39.818182 | 0.801414 | 0.028767 | 0 | 0.111111 | 0 | 0 | 0.006031 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.083333 | 0 | 0.388889 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f222448d0c305c6158a8a8cb410ef32dcbf5429 | 7,090 | py | Python | util.py | gmshashank/pytorch_yolo | 9736006639acba9743b4e3ff56285668357097f9 | [
"MIT"
] | null | null | null | util.py | gmshashank/pytorch_yolo | 9736006639acba9743b4e3ff56285668357097f9 | [
"MIT"
] | null | null | null | util.py | gmshashank/pytorch_yolo | 9736006639acba9743b4e3ff56285668357097f9 | [
"MIT"
] | null | null | null | from __future__ import division
from torch.autograd import Variable
import cv2
import numpy as np
import torch
def bbox_iou(box1, box2):
# returns IoU of two bounding boxes
b1_x1, b1_y1, b1_x2, b1_y2 = box1[:, 0], box1[:, 1], box1[:, 2], box1[:, 3]
b2_x1, b2_y1, b2_x2, b2_y2 = box2[:, 0], box2... | 34.754902 | 87 | 0.572779 | 923 | 7,090 | 4.141928 | 0.187432 | 0.045776 | 0.047083 | 0.017787 | 0.210829 | 0.120848 | 0.11457 | 0.06644 | 0.064347 | 0.064347 | 0 | 0.039702 | 0.300141 | 7,090 | 203 | 88 | 34.926108 | 0.730754 | 0.065303 | 0 | 0.108108 | 0 | 0 | 0.000468 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.040541 | false | 0 | 0.033784 | 0 | 0.114865 | 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 |
2f2228d6057ad9c4100fbf0aed98528ab280f726 | 743 | py | Python | 922.py | BLUECARVIN/LeetCode | 0d085ed2dbee47c57d22ac368872161076369ff9 | [
"MIT"
] | null | null | null | 922.py | BLUECARVIN/LeetCode | 0d085ed2dbee47c57d22ac368872161076369ff9 | [
"MIT"
] | null | null | null | 922.py | BLUECARVIN/LeetCode | 0d085ed2dbee47c57d22ac368872161076369ff9 | [
"MIT"
] | null | null | null | class Solution:
def sortArrayByParityII(self, A: List[int]) -> List[int]:
A.sort(key=lambda x: (x % 2 != 0))
b = []
for i in range(int(len(A) / 2)):
b.append(A[i])
b.append(A[-(1+i)])
return b
# ---------- 320ms, 15.9MB ---------- #
class Solution:
def so... | 28.576923 | 61 | 0.414536 | 95 | 743 | 3.242105 | 0.347368 | 0.090909 | 0.058442 | 0.107143 | 0.441558 | 0.350649 | 0.350649 | 0.350649 | 0.350649 | 0.350649 | 0 | 0.038793 | 0.375505 | 743 | 26 | 62 | 28.576923 | 0.625 | 0.096904 | 0 | 0.173913 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0 | 0 | 0.26087 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f224c8f917dc2d903a60f297bdfff121e03b7dc | 1,190 | py | Python | mainConsumer.py | cmoshe390/pythonProj | 7123255abbb53e4330c9548be16dd9e237f8a51d | [
"Unlicense",
"MIT"
] | null | null | null | mainConsumer.py | cmoshe390/pythonProj | 7123255abbb53e4330c9548be16dd9e237f8a51d | [
"Unlicense",
"MIT"
] | null | null | null | mainConsumer.py | cmoshe390/pythonProj | 7123255abbb53e4330c9548be16dd9e237f8a51d | [
"Unlicense",
"MIT"
] | null | null | null | from rabbitConsumer import *
from socketConsumer import SocketConsumer
from dlx import *
import threading
import sys
if __name__ == '__main__':
work_with = sys.argv[1]
r_k = ['*.jpg', '*.jpeg', '#']
threads = []
dlx = ReconnectingDlx()
threads.append(threading.Thread(target=dlx.run))
for j... | 34 | 118 | 0.561345 | 127 | 1,190 | 4.96063 | 0.425197 | 0.038095 | 0.052381 | 0.088889 | 0.384127 | 0.27619 | 0.27619 | 0.27619 | 0.27619 | 0.27619 | 0 | 0.008728 | 0.32605 | 1,190 | 34 | 119 | 35 | 0.776808 | 0.172269 | 0 | 0 | 0 | 0 | 0.107034 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.217391 | 0 | 0.217391 | 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 |
2f239d716de5c5b3e73637e42e5427fd0197839a | 1,991 | py | Python | analyses/quantifications/scripts/2019_11_12_CC414022_quantifications.py | brendano257/Zugspitze-Schneefernerhaus | 64bb86ece2eec147f2a7fb412f87ff2313388753 | [
"MIT"
] | null | null | null | analyses/quantifications/scripts/2019_11_12_CC414022_quantifications.py | brendano257/Zugspitze-Schneefernerhaus | 64bb86ece2eec147f2a7fb412f87ff2313388753 | [
"MIT"
] | null | null | null | analyses/quantifications/scripts/2019_11_12_CC414022_quantifications.py | brendano257/Zugspitze-Schneefernerhaus | 64bb86ece2eec147f2a7fb412f87ff2313388753 | [
"MIT"
] | null | null | null | """
A set of CC412022, CC416168 were run back to back without blanks on 2019-11-12.
Rough quantification is done by the below.
"""
__package__ = 'Z'
from datetime import datetime
from settings import CORE_DIR, DB_NAME
from IO.db import connect_to_db, GcRun, Integration, Standard, SampleQuant
from processing import b... | 40.632653 | 109 | 0.70668 | 260 | 1,991 | 5.215385 | 0.330769 | 0.026549 | 0.058997 | 0.066372 | 0.427729 | 0.412979 | 0.259587 | 0.259587 | 0.20649 | 0.20649 | 0 | 0.058752 | 0.179307 | 1,991 | 48 | 110 | 41.479167 | 0.771114 | 0.113009 | 0 | 0.193548 | 0 | 0 | 0.044963 | 0.012521 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.16129 | 0 | 0.16129 | 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 |
2f2590662675a6fa11503eafa56e671b78fe7a23 | 10,473 | py | Python | srcds/events/csgo.py | w4rum/pysrcds | a9dbc198c6f087757e40d9af14ca8de9a39cef74 | [
"MIT"
] | 17 | 2015-06-26T08:49:07.000Z | 2021-09-11T09:02:40.000Z | srcds/events/csgo.py | w4rum/pysrcds | a9dbc198c6f087757e40d9af14ca8de9a39cef74 | [
"MIT"
] | 5 | 2015-04-27T13:44:58.000Z | 2022-02-07T19:00:42.000Z | srcds/events/csgo.py | w4rum/pysrcds | a9dbc198c6f087757e40d9af14ca8de9a39cef74 | [
"MIT"
] | 12 | 2015-02-13T15:34:47.000Z | 2021-09-11T09:02:30.000Z | # Copyright (C) 2013 Peter Rowlands
"""csgo events module
Contains event classes for CS:S and CS:GO events
"""
from __future__ import absolute_import, unicode_literals
from future.utils import python_2_unicode_compatible
from .generic import (BaseEvent, PlayerEvent, PlayerTargetEvent, KillEvent,
... | 36.491289 | 83 | 0.531175 | 1,070 | 10,473 | 4.945794 | 0.109346 | 0.084656 | 0.043084 | 0.031746 | 0.664588 | 0.63511 | 0.623394 | 0.623205 | 0.599017 | 0.580499 | 0 | 0.00736 | 0.338394 | 10,473 | 286 | 84 | 36.618881 | 0.756386 | 0.038575 | 0 | 0.554054 | 0 | 0.004505 | 0.123902 | 0.01897 | 0 | 0 | 0 | 0 | 0 | 1 | 0.067568 | false | 0 | 0.013514 | 0 | 0.202703 | 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 |
2f27bd70a0bac448a69a312f5b0f06826fe66bdd | 670 | py | Python | Listing_19-1.py | PrinceChou/Play-Python-with-Alisa | 808ab2744a99c548de4633b5707af27112bcdccf | [
"Apache-2.0"
] | null | null | null | Listing_19-1.py | PrinceChou/Play-Python-with-Alisa | 808ab2744a99c548de4633b5707af27112bcdccf | [
"Apache-2.0"
] | null | null | null | Listing_19-1.py | PrinceChou/Play-Python-with-Alisa | 808ab2744a99c548de4633b5707af27112bcdccf | [
"Apache-2.0"
] | null | null | null | # Listing_19-1.py
# Copyright Warren & Carter Sande, 2013
# Released under MIT license http://www.opensource.org/licenses/mit-license.php
# Version $version ----------------------------
# Trying out sounds in Pygame
import pygame
pygame.init()
pygame.mixer.init()
screen = pygame.display.set_mode([640,480])
pygame.... | 29.130435 | 81 | 0.649254 | 89 | 670 | 4.865169 | 0.674157 | 0.046189 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.032015 | 0.207463 | 670 | 22 | 82 | 30.454545 | 0.783428 | 0.444776 | 0 | 0 | 0 | 0 | 0.024793 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.076923 | 0 | 0.076923 | 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 |
2f2f6a510aa43446af03b23b36744744444b6c67 | 1,532 | py | Python | docker_emperor/commands/context/set.py | workon-io/docker-emperor | d827bb2806494dcba97920dd83c5934d0a300089 | [
"Apache-2.0"
] | null | null | null | docker_emperor/commands/context/set.py | workon-io/docker-emperor | d827bb2806494dcba97920dd83c5934d0a300089 | [
"Apache-2.0"
] | null | null | null | docker_emperor/commands/context/set.py | workon-io/docker-emperor | d827bb2806494dcba97920dd83c5934d0a300089 | [
"Apache-2.0"
] | null | null | null | import six
import docker_emperor.logger as logger
from docker_emperor.nodes.context import Context
def run(root, *args, **kwargs):
name = args[0].strip() if args else None
if name:
if name in root.project['contexts']:
root.project.config['context'] = name
logger.success(u'Cont... | 39.282051 | 103 | 0.539817 | 189 | 1,532 | 4.333333 | 0.343915 | 0.094017 | 0.021978 | 0.087912 | 0.274725 | 0.114774 | 0.114774 | 0.114774 | 0.114774 | 0.114774 | 0 | 0.00484 | 0.325718 | 1,532 | 39 | 104 | 39.282051 | 0.787996 | 0 | 0 | 0.151515 | 0 | 0 | 0.171559 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060606 | false | 0 | 0.090909 | 0 | 0.212121 | 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 |
2f2f9ccd72b1ada4944e0fb6d3cba3a6b6b3d3fc | 759 | py | Python | bnc/scripts/instance_lock_test.py | dotzhou/geodesy-ausgeoid | 7d4fbcc1d88738de6ab84ccdba362407cbaeb117 | [
"Apache-2.0"
] | null | null | null | bnc/scripts/instance_lock_test.py | dotzhou/geodesy-ausgeoid | 7d4fbcc1d88738de6ab84ccdba362407cbaeb117 | [
"Apache-2.0"
] | null | null | null | bnc/scripts/instance_lock_test.py | dotzhou/geodesy-ausgeoid | 7d4fbcc1d88738de6ab84ccdba362407cbaeb117 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import sys
import time
from instance_lock import InstanceLock
################################################################################
def main():
print(sys.argv[0])
... | 19.973684 | 88 | 0.524374 | 79 | 759 | 4.632911 | 0.56962 | 0.131148 | 0.131148 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012719 | 0.171278 | 759 | 37 | 89 | 20.513514 | 0.569157 | 0.02635 | 0 | 0 | 0 | 0 | 0.137153 | 0.0625 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.3 | 0 | 0.35 | 0.25 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f30a5cc06c93cc21cd8f006b81cb7e3a4339ab4 | 1,194 | py | Python | examples/Sans_Sphere/guiFitSphere.py | DomiDre/modelexp | 1ec25f71e739dac27716f9a8637fa6ab067499b9 | [
"MIT"
] | null | null | null | examples/Sans_Sphere/guiFitSphere.py | DomiDre/modelexp | 1ec25f71e739dac27716f9a8637fa6ab067499b9 | [
"MIT"
] | null | null | null | examples/Sans_Sphere/guiFitSphere.py | DomiDre/modelexp | 1ec25f71e739dac27716f9a8637fa6ab067499b9 | [
"MIT"
] | null | null | null | import modelexp
from modelexp.experiments.sas import Sans
from modelexp.models.sas import Sphere
from modelexp.data import XyeData
from modelexp.fit import LevenbergMarquardt
from modelexp.models.sas import InstrumentalResolution
app = modelexp.App()
app.setExperiment(Sans)
dataRef = app.setData(XyeData)
dataRef.lo... | 39.8 | 99 | 0.742881 | 160 | 1,194 | 5.51875 | 0.3625 | 0.14496 | 0.11778 | 0.079275 | 0.15402 | 0.056625 | 0.056625 | 0 | 0 | 0 | 0 | 0.107414 | 0.118928 | 1,194 | 30 | 100 | 39.8 | 0.731939 | 0 | 0 | 0 | 0 | 0 | 0.080335 | 0.038494 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.26087 | 0 | 0.26087 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f373ae8b308ab8313e26c9ce9ba782726162914 | 2,273 | py | Python | almanac/pages/abstract_page.py | welchbj/almanac | 91db5921a27f7d089b4ad8463ffb6e1453c5126a | [
"MIT"
] | 4 | 2020-08-04T10:59:10.000Z | 2021-08-23T13:42:03.000Z | almanac/pages/abstract_page.py | welchbj/almanac | 91db5921a27f7d089b4ad8463ffb6e1453c5126a | [
"MIT"
] | null | null | null | almanac/pages/abstract_page.py | welchbj/almanac | 91db5921a27f7d089b4ad8463ffb6e1453c5126a | [
"MIT"
] | 2 | 2021-07-20T04:49:22.000Z | 2021-08-23T13:42:23.000Z | from __future__ import annotations
from abc import ABC, abstractmethod, abstractproperty
from typing import Any, Optional, Set
from .page_path import PagePath, PagePathLike
class AbstractPage(ABC):
"""The base abstract page interface."""
def __init__(
self,
path: PagePathLike,
) -> None... | 21.647619 | 83 | 0.57985 | 252 | 2,273 | 5.035714 | 0.345238 | 0.044129 | 0.023641 | 0.022065 | 0.113475 | 0.048857 | 0.048857 | 0.048857 | 0.048857 | 0 | 0 | 0 | 0.33216 | 2,273 | 104 | 84 | 21.855769 | 0.835968 | 0.259569 | 0 | 0.40625 | 0 | 0 | 0.028828 | 0.019218 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1875 | false | 0 | 0.0625 | 0.046875 | 0.390625 | 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 |
2f3740dbe908121e76457672fb1354e03d0a203a | 3,022 | py | Python | examples/VTK/PerfTests/scene-export-time.py | ajpmaclean/trame | 48ab4e80c6050a2bea8b04ef32fd7d8b2cc7f787 | [
"BSD-3-Clause"
] | null | null | null | examples/VTK/PerfTests/scene-export-time.py | ajpmaclean/trame | 48ab4e80c6050a2bea8b04ef32fd7d8b2cc7f787 | [
"BSD-3-Clause"
] | null | null | null | examples/VTK/PerfTests/scene-export-time.py | ajpmaclean/trame | 48ab4e80c6050a2bea8b04ef32fd7d8b2cc7f787 | [
"BSD-3-Clause"
] | null | null | null | from trame import state
from trame.html import vuetify, vtk
from trame.layouts import SinglePage
from vtkmodules.vtkImagingCore import vtkRTAnalyticSource
from vtkmodules.vtkFiltersGeometry import vtkGeometryFilter
from vtkmodules.vtkRenderingCore import (
vtkRenderer,
vtkRenderWindow,
vtkRenderWindowInter... | 29.627451 | 81 | 0.617141 | 242 | 3,022 | 7.57438 | 0.475207 | 0.03928 | 0.065466 | 0.065466 | 0.032733 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006381 | 0.118465 | 3,022 | 101 | 82 | 29.920792 | 0.681682 | 0.228657 | 0 | 0 | 0 | 0 | 0.05054 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014706 | false | 0 | 0.117647 | 0 | 0.132353 | 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 |
2f382211712726ce3bebece3524ea17b01c0cd4f | 2,540 | py | Python | saleor/dashboard/store/special_page/views.py | Chaoslecion123/Diver | 8c5c493701422eada49cbf95b0b0add08f1ea561 | [
"BSD-3-Clause"
] | null | null | null | saleor/dashboard/store/special_page/views.py | Chaoslecion123/Diver | 8c5c493701422eada49cbf95b0b0add08f1ea561 | [
"BSD-3-Clause"
] | null | null | null | saleor/dashboard/store/special_page/views.py | Chaoslecion123/Diver | 8c5c493701422eada49cbf95b0b0add08f1ea561 | [
"BSD-3-Clause"
] | null | null | null | from django.contrib import messages
from django.contrib.auth.decorators import permission_required
from django.shortcuts import get_object_or_404, redirect
from django.template.response import TemplateResponse
from django.utils.translation import pgettext_lazy
from ....store.models import SpecialPage
from ...views imp... | 40.31746 | 77 | 0.715748 | 306 | 2,540 | 5.663399 | 0.215686 | 0.14599 | 0.10502 | 0.055395 | 0.693595 | 0.665897 | 0.64974 | 0.618003 | 0.618003 | 0.589152 | 0 | 0.004358 | 0.187008 | 2,540 | 62 | 78 | 40.967742 | 0.834867 | 0 | 0 | 0.527273 | 0 | 0 | 0.188189 | 0.078346 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054545 | false | 0 | 0.145455 | 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 |
2f3aae6740fa544f6fcbafd5b09e5b47c616d5d2 | 2,449 | py | Python | satstac/landsat/cli.py | developmentseed/sat-stac-landsat | f2263485043a827b4153aecc12f45a3d1363e9e2 | [
"MIT"
] | null | null | null | satstac/landsat/cli.py | developmentseed/sat-stac-landsat | f2263485043a827b4153aecc12f45a3d1363e9e2 | [
"MIT"
] | null | null | null | satstac/landsat/cli.py | developmentseed/sat-stac-landsat | f2263485043a827b4153aecc12f45a3d1363e9e2 | [
"MIT"
] | null | null | null | import argparse
import logging
import sys
from datetime import datetime
import satstac
from satstac import Catalog
import satstac.landsat as landsat
from .version import __version__
# quiet loggers
logging.getLogger('urllib3').propagate = False
logging.getLogger('requests').propagate = False
logger = logging.getLog... | 37.106061 | 120 | 0.694978 | 309 | 2,449 | 5.339806 | 0.385113 | 0.06 | 0.072121 | 0.030303 | 0.141818 | 0.141818 | 0.100606 | 0.100606 | 0 | 0 | 0 | 0.00978 | 0.164965 | 2,449 | 66 | 121 | 37.106061 | 0.797066 | 0.080441 | 0 | 0 | 0 | 0.02381 | 0.22049 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.190476 | 0 | 0.261905 | 0.02381 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f3ae02cd059cdf4b269302e970b02d87301e8cf | 3,005 | py | Python | database.py | pratik-choudhari/squ.ez-url-shortener | ebd13da15501806d0ef30353fe77a9d3d6d1081a | [
"MIT"
] | 5 | 2020-12-20T14:50:31.000Z | 2021-09-20T06:39:18.000Z | database.py | pratik-choudhari/squ.ez-url-shortener | ebd13da15501806d0ef30353fe77a9d3d6d1081a | [
"MIT"
] | null | null | null | database.py | pratik-choudhari/squ.ez-url-shortener | ebd13da15501806d0ef30353fe77a9d3d6d1081a | [
"MIT"
] | 3 | 2020-12-20T18:18:09.000Z | 2021-11-14T09:42:07.000Z | import sqlite3
import random
import string
import re
import sys
# domain name
args = sys.argv
if len(args)==2:
if args[1] == 'localhost':
domain = "localhost:5000/"
else:
domain = "https://squez-url-shortener.herokuapp.com/"
else:
domain = "https://squez-url-shortener.herokuapp.com/"
# URL... | 28.084112 | 200 | 0.547088 | 403 | 3,005 | 4.019851 | 0.290323 | 0.018519 | 0.007407 | 0.007407 | 0.31358 | 0.135802 | 0.107407 | 0.054321 | 0 | 0 | 0 | 0.012071 | 0.283195 | 3,005 | 106 | 201 | 28.349057 | 0.73909 | 0.231281 | 0 | 0.344828 | 0 | 0.034483 | 0.28301 | 0.095106 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068966 | false | 0 | 0.086207 | 0 | 0.293103 | 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 |
2f3e4585789dca549a8fbdd15c298b8c2bf0a041 | 1,954 | py | Python | ball.py | b3mery/Python-Pong-Game | d0051942412c331a752cbade11815002be8d4d1e | [
"MIT"
] | null | null | null | ball.py | b3mery/Python-Pong-Game | d0051942412c331a752cbade11815002be8d4d1e | [
"MIT"
] | null | null | null | ball.py | b3mery/Python-Pong-Game | d0051942412c331a752cbade11815002be8d4d1e | [
"MIT"
] | null | null | null | from turtle import Turtle
from scoreboard import Scoreboard
WIDTH = 800
HEIGHT = 600
START_SPEED = 0.1
class Ball(Turtle):
"""Class for creating and moving the ball. Extends Turtle"""
def __init__(self) -> None:
super().__init__()
self.y_trajectory = 10
self.x_trajectory = 10
... | 34.892857 | 84 | 0.590583 | 263 | 1,954 | 4.231939 | 0.323194 | 0.069182 | 0.067385 | 0.050314 | 0.277628 | 0.186882 | 0.186882 | 0.145553 | 0.097035 | 0.097035 | 0 | 0.033528 | 0.297851 | 1,954 | 56 | 85 | 34.892857 | 0.777697 | 0.18782 | 0 | 0.2 | 0 | 0 | 0.040103 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.05 | 0 | 0.2 | 0.05 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f43d99fa4ec9d66bba52027500997441d643a8e | 1,216 | py | Python | baseq/bed/__init__.py | basedata10/baseq | 0f1786c3392a51a6ec7cb0f32355cd28eaa5df29 | [
"MIT"
] | 1 | 2018-08-30T20:29:17.000Z | 2018-08-30T20:29:17.000Z | baseq/bed/__init__.py | basedata10/baseq | 0f1786c3392a51a6ec7cb0f32355cd28eaa5df29 | [
"MIT"
] | null | null | null | baseq/bed/__init__.py | basedata10/baseq | 0f1786c3392a51a6ec7cb0f32355cd28eaa5df29 | [
"MIT"
] | null | null | null | import subprocess, re, os
from baseq.utils.runcommand import run_it, run_generator
import pandas as pd
import random
"""
baseq dev bed ./bed
"""
import click, os, sys
CONTEXT_SETTINGS = dict(help_option_names=['-h', '--help'])
@click.group(context_settings=CONTEXT_SETTINGS)
def cli():
pass
class BEDFILE:
def ... | 31.179487 | 124 | 0.612664 | 161 | 1,216 | 4.521739 | 0.521739 | 0.038462 | 0.03022 | 0.038462 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009667 | 0.234375 | 1,216 | 39 | 125 | 31.179487 | 0.772288 | 0 | 0 | 0 | 0 | 0 | 0.063866 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.16129 | false | 0.032258 | 0.16129 | 0 | 0.419355 | 0.032258 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f4660a8cf58761bb602bec1315943879f761718 | 4,264 | py | Python | swtstore/application.py | janastu/swtstore | 7326138bf2fbf2a4ed8c7300c68092f91709dfc2 | [
"BSD-2-Clause"
] | 2 | 2015-04-28T00:35:21.000Z | 2016-02-11T19:31:15.000Z | swtstore/application.py | janastu/swtstore | 7326138bf2fbf2a4ed8c7300c68092f91709dfc2 | [
"BSD-2-Clause"
] | 9 | 2015-02-02T11:24:23.000Z | 2017-12-29T07:49:07.000Z | swtstore/application.py | janastu/swtstore | 7326138bf2fbf2a4ed8c7300c68092f91709dfc2 | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
__init__.py
"""
import os
import logging
from logging.handlers import RotatingFileHandler
from flask import Flask, request, jsonify, render_template, make_response
from classes.database import db
from config import DefaultConfig
from classes import views
#from classes import models
f... | 24.090395 | 78 | 0.633912 | 515 | 4,264 | 5.07767 | 0.281553 | 0.034417 | 0.032505 | 0.047801 | 0.281836 | 0.23327 | 0.23327 | 0.151052 | 0.151052 | 0.151052 | 0 | 0.020128 | 0.265947 | 4,264 | 176 | 79 | 24.227273 | 0.815335 | 0.107645 | 0 | 0.240741 | 0 | 0 | 0.066138 | 0.006349 | 0 | 0 | 0 | 0.005682 | 0 | 1 | 0.111111 | false | 0 | 0.074074 | 0.009259 | 0.259259 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f46d633a48c16504cc0737a6f08d56b6c8d1caf | 2,313 | py | Python | 2018/12a.py | apie/advent-of-code | c49abec01b044166a688ade40ebb1e642f0e5ce0 | [
"MIT"
] | 4 | 2018-12-04T23:33:46.000Z | 2021-12-07T17:33:27.000Z | 2018/12a.py | apie/advent-of-code | c49abec01b044166a688ade40ebb1e642f0e5ce0 | [
"MIT"
] | 17 | 2018-12-12T23:32:09.000Z | 2020-01-04T15:50:31.000Z | 2018/12a.py | apie/advent-of-code | c49abec01b044166a688ade40ebb1e642f0e5ce0 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import pytest
import fileinput
import sys
DAY=12
class Plants():
def __init__(self, in_lines):
self.generation = 0
lines = iter(in_lines)
initial_state = next(lines).replace('initial state: ', '')
self.pots = {i:s for i, s in enumerate(initial_state)
if s == '#'
}
... | 31.684932 | 92 | 0.587981 | 357 | 2,313 | 3.686275 | 0.221289 | 0.097264 | 0.06383 | 0.06383 | 0.342705 | 0.307751 | 0.254559 | 0.254559 | 0.238602 | 0.238602 | 0 | 0.025178 | 0.210117 | 2,313 | 72 | 93 | 32.125 | 0.695129 | 0.036749 | 0 | 0.193548 | 0 | 0 | 0.083596 | 0 | 0 | 0 | 0 | 0 | 0.032258 | 1 | 0.112903 | false | 0 | 0.048387 | 0.032258 | 0.241935 | 0.096774 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f47e0e4afa3b0ef06fd5508f958beec6b26eb72 | 826 | py | Python | 03-Spark DFs/24-Solution (Group By).py | PacktPublishing/PySpark-and-AWS-Master-Big-Data-with-PySpark-and-AWS | 28726ada2a8f03557180b472eecf3efc72cab5a2 | [
"MIT"
] | 3 | 2021-09-29T04:11:44.000Z | 2021-12-21T06:28:48.000Z | Part 3/Code/03-Spark DFs/24-Solution (Group By).py | PacktPublishing/50-Hours-of-Big-Data-PySpark-AWS-Scala-and-Scraping | 8993a8ee10534a29aeee18fa91bdc48e3093bec5 | [
"MIT"
] | null | null | null | Part 3/Code/03-Spark DFs/24-Solution (Group By).py | PacktPublishing/50-Hours-of-Big-Data-PySpark-AWS-Scala-and-Scraping | 8993a8ee10534a29aeee18fa91bdc48e3093bec5 | [
"MIT"
] | 5 | 2021-11-17T15:47:36.000Z | 2022-03-09T05:13:09.000Z | # Databricks notebook source
from pyspark.sql import SparkSession
from pyspark.sql.functions import col, lit
from pyspark.sql.functions import sum,avg,max,min,mean,count
spark = SparkSession.builder.appName("Spark DataFrames").getOrCreate()
# COMMAND ----------
df = spark.read.options(header='True', inferSchema='True... | 25.8125 | 99 | 0.659806 | 104 | 826 | 5.211538 | 0.451923 | 0.083026 | 0.138376 | 0.084871 | 0.333948 | 0.143911 | 0.143911 | 0 | 0 | 0 | 0 | 0.005284 | 0.083535 | 826 | 31 | 100 | 26.645161 | 0.7107 | 0.156174 | 0 | 0 | 0 | 0 | 0.24344 | 0.048105 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.272727 | 0 | 0.272727 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f4adf626e0639100f39276c7a36ef5fa92541f9 | 1,185 | py | Python | parse_xlsx.py | UoA-eResearch/OPIMD | 63d2279eea8de7db53b01c50e8e35b483ab572c4 | [
"MIT"
] | null | null | null | parse_xlsx.py | UoA-eResearch/OPIMD | 63d2279eea8de7db53b01c50e8e35b483ab572c4 | [
"MIT"
] | 2 | 2021-03-03T06:11:30.000Z | 2021-03-05T02:57:02.000Z | parse_xlsx.py | UoA-eResearch/OPIMD | 63d2279eea8de7db53b01c50e8e35b483ab572c4 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import pandas as pd
import json
df = pd.read_excel("OPIMD Calc_checked_03Feb21AL.xlsx", sheet_name=None)
obj = {}
dz = df["OPIMD15ACCESSDATAZONERANK"]
dz = dz.dropna(subset=["datazone"])
dz.datazone = dz.datazone.astype(int)
dz.index = dz.datazone
obj["dz"] = dz.OPIMDAccPopRank_AL.to_dict()
... | 25.212766 | 72 | 0.709705 | 170 | 1,185 | 4.876471 | 0.429412 | 0.050663 | 0.043426 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011353 | 0.108017 | 1,185 | 47 | 73 | 25.212766 | 0.772942 | 0.017722 | 0 | 0 | 0 | 0 | 0.18299 | 0.044674 | 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 |
2f4cad023005927c7b37c2c98bbb63ef5319fadc | 1,336 | py | Python | python/src/main/python/pyalink/alink/common/sql/sql_query_utils.py | wenwei8268/Alink | c00702538c95a32403985ebd344eb6aeb81749a7 | [
"Apache-2.0"
] | null | null | null | python/src/main/python/pyalink/alink/common/sql/sql_query_utils.py | wenwei8268/Alink | c00702538c95a32403985ebd344eb6aeb81749a7 | [
"Apache-2.0"
] | null | null | null | python/src/main/python/pyalink/alink/common/sql/sql_query_utils.py | wenwei8268/Alink | c00702538c95a32403985ebd344eb6aeb81749a7 | [
"Apache-2.0"
] | null | null | null | import re
__all__ = ['register_table_name', 'sql_query']
batch_table_name_map = dict()
stream_table_name_map = dict()
def register_table_name(op, name: str, op_type: str):
if op_type == "batch":
batch_table_name_map[name] = op
elif op_type == "stream":
stream_table_name_map[name] = op
el... | 28.425532 | 65 | 0.654192 | 188 | 1,336 | 4.303191 | 0.281915 | 0.144623 | 0.163164 | 0.111248 | 0.217553 | 0.173053 | 0.173053 | 0.173053 | 0.111248 | 0.111248 | 0 | 0.002962 | 0.241766 | 1,336 | 46 | 66 | 29.043478 | 0.795656 | 0 | 0 | 0.216216 | 0 | 0 | 0.098802 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081081 | false | 0 | 0.081081 | 0 | 0.189189 | 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 |
2f4d2891267d928eb5b2260208cbd4b134295605 | 3,790 | py | Python | salt/utils/win_chcp.py | Noah-Huppert/salt | 998c382f5f2c3b4cbf7d96aa6913ada6993909b3 | [
"Apache-2.0"
] | 9,425 | 2015-01-01T05:59:24.000Z | 2022-03-31T20:44:05.000Z | salt/utils/win_chcp.py | Noah-Huppert/salt | 998c382f5f2c3b4cbf7d96aa6913ada6993909b3 | [
"Apache-2.0"
] | 33,507 | 2015-01-01T00:19:56.000Z | 2022-03-31T23:48:20.000Z | salt/utils/win_chcp.py | Noah-Huppert/salt | 998c382f5f2c3b4cbf7d96aa6913ada6993909b3 | [
"Apache-2.0"
] | 5,810 | 2015-01-01T19:11:45.000Z | 2022-03-31T02:37:20.000Z | """
Functions for working with the codepage on Windows systems
"""
import logging
from contextlib import contextmanager
from salt.exceptions import CodePageError
log = logging.getLogger(__name__)
try:
import pywintypes
import win32console
HAS_WIN32 = True
except ImportError:
HAS_WIN32 = False
# A... | 25.608108 | 88 | 0.61715 | 470 | 3,790 | 4.806383 | 0.231915 | 0.061089 | 0.053121 | 0.048694 | 0.656043 | 0.604692 | 0.588756 | 0.533865 | 0.533865 | 0.533865 | 0 | 0.007675 | 0.312401 | 3,790 | 147 | 89 | 25.782313 | 0.859171 | 0.341953 | 0 | 0.565217 | 0 | 0 | 0.087803 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057971 | false | 0 | 0.086957 | 0 | 0.26087 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f4d57d728b00fc588f9af5da19650e009e95339 | 827 | py | Python | application/server.py | comov/fucked-up_schedule | 3e6a2972f46686829b655798cd641cd82559db24 | [
"MIT"
] | null | null | null | application/server.py | comov/fucked-up_schedule | 3e6a2972f46686829b655798cd641cd82559db24 | [
"MIT"
] | null | null | null | application/server.py | comov/fucked-up_schedule | 3e6a2972f46686829b655798cd641cd82559db24 | [
"MIT"
] | null | null | null | from flask import Flask, render_template
from application.settings import STATIC
from application.storage import storage
app = Flask(__name__, static_url_path=STATIC)
@app.route('/')
def hello_world():
storage_dataset = storage.load_data()
labels = []
datasets = {}
for label, dataset in storage_dat... | 25.84375 | 50 | 0.562273 | 92 | 827 | 4.923913 | 0.456522 | 0.033113 | 0.02649 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.308343 | 827 | 31 | 51 | 26.677419 | 0.791958 | 0 | 0 | 0 | 0 | 0 | 0.076179 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.12 | 0 | 0.2 | 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 |
2f4e64d9de5293438f0fe185689a4d11efc8c4c9 | 1,857 | py | Python | cli_fun/commands/fun.py | e4r7hbug/cli-fun | 43f9a1bf788745783a24f315d80ceb969ff853e4 | [
"MIT"
] | null | null | null | cli_fun/commands/fun.py | e4r7hbug/cli-fun | 43f9a1bf788745783a24f315d80ceb969ff853e4 | [
"MIT"
] | null | null | null | cli_fun/commands/fun.py | e4r7hbug/cli-fun | 43f9a1bf788745783a24f315d80ceb969ff853e4 | [
"MIT"
] | null | null | null | """Fun section of CLI command."""
import json
import logging
import time
from pprint import pformat, pprint
import click
from fabric.colors import red
@click.group()
def cli():
"""My fun program!"""
pass
@cli.command()
def progress():
"""Sample progress bar."""
i = range(0, 200)
logging.debug('... | 22.925926 | 70 | 0.611739 | 253 | 1,857 | 4.43083 | 0.438735 | 0.071365 | 0.046387 | 0.06066 | 0.066905 | 0.066905 | 0.066905 | 0.066905 | 0.066905 | 0.066905 | 0 | 0.01151 | 0.204631 | 1,857 | 80 | 71 | 23.2125 | 0.747461 | 0.107701 | 0 | 0.076923 | 0 | 0 | 0.151459 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0.019231 | 0.115385 | 0 | 0.269231 | 0.134615 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f4ee2585931ea1270d6eb83cfe79d8eaf1f4d33 | 1,851 | py | Python | tests/algorithms/descriptor_generator/test_colordescriptor.py | joshanderson-kw/SMQTK | 594e7c733fe7f4e514a1a08a7343293a883a41fc | [
"BSD-3-Clause"
] | 82 | 2015-01-07T15:33:29.000Z | 2021-08-11T18:34:05.000Z | tests/algorithms/descriptor_generator/test_colordescriptor.py | joshanderson-kw/SMQTK | 594e7c733fe7f4e514a1a08a7343293a883a41fc | [
"BSD-3-Clause"
] | 230 | 2015-04-08T14:36:51.000Z | 2022-03-14T17:55:30.000Z | tests/algorithms/descriptor_generator/test_colordescriptor.py | joshanderson-kw/SMQTK | 594e7c733fe7f4e514a1a08a7343293a883a41fc | [
"BSD-3-Clause"
] | 65 | 2015-01-04T15:00:16.000Z | 2021-11-19T18:09:11.000Z | import unittest
import unittest.mock as mock
import pytest
from smqtk.algorithms.descriptor_generator import DescriptorGenerator
from smqtk.algorithms.descriptor_generator.colordescriptor.colordescriptor \
import ColorDescriptor_Image_csift # arbitrary leaf class
from smqtk.utils.configuration import configurati... | 42.068182 | 79 | 0.690438 | 211 | 1,851 | 5.729858 | 0.379147 | 0.090984 | 0.082713 | 0.084367 | 0.263027 | 0.105873 | 0 | 0 | 0 | 0 | 0 | 0.02276 | 0.240411 | 1,851 | 43 | 80 | 43.046512 | 0.837127 | 0.010805 | 0 | 0 | 0 | 0 | 0.106069 | 0.046473 | 0 | 0 | 0 | 0 | 0.324324 | 1 | 0.054054 | false | 0 | 0.162162 | 0 | 0.243243 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f59a50ee0f4047fe095b3e0f94aa7691fc20820 | 2,139 | py | Python | tests/server/datasets/test_dao.py | davidkartchner/rubrix | 33faa006d7498a806a9fd594036d4a42c7d70da2 | [
"Apache-2.0"
] | 1 | 2022-01-06T09:05:06.000Z | 2022-01-06T09:05:06.000Z | tests/server/datasets/test_dao.py | davidkartchner/rubrix | 33faa006d7498a806a9fd594036d4a42c7d70da2 | [
"Apache-2.0"
] | null | null | null | tests/server/datasets/test_dao.py | davidkartchner/rubrix | 33faa006d7498a806a9fd594036d4a42c7d70da2 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2021-present, the Recognai S.L. team.
#
# 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 ... | 36.254237 | 81 | 0.777466 | 295 | 2,139 | 5.461017 | 0.39322 | 0.043451 | 0.069522 | 0.039106 | 0.303538 | 0.226567 | 0.226567 | 0.226567 | 0.155183 | 0.103042 | 0 | 0.004894 | 0.140252 | 2,139 | 58 | 82 | 36.87931 | 0.871126 | 0.276765 | 0 | 0.176471 | 0 | 0 | 0.050294 | 0.030699 | 0 | 0 | 0 | 0 | 0.088235 | 1 | 0.058824 | false | 0 | 0.235294 | 0 | 0.294118 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f5cb793e2e748f1c572ea256bcf2c1a860ee543 | 2,344 | py | Python | blinpy/tests/test_models.py | solbes/blinpy | 89b4f26066c383fc07ca6b1cbfdc8a61397f3f08 | [
"MIT"
] | 3 | 2021-02-11T14:00:08.000Z | 2021-10-13T20:41:21.000Z | blinpy/tests/test_models.py | solbes/blinpy | 89b4f26066c383fc07ca6b1cbfdc8a61397f3f08 | [
"MIT"
] | null | null | null | blinpy/tests/test_models.py | solbes/blinpy | 89b4f26066c383fc07ca6b1cbfdc8a61397f3f08 | [
"MIT"
] | null | null | null | import pytest
import pandas as pd
import numpy as np
from blinpy import models
data = pd.DataFrame(
{'x': np.array(
[0.0, 1.0, 1.0, 2.0, 1.8, 3.0, 4.0, 5.2, 6.5, 8.0, 10.0]),
'y': np.array([5.0, 5.0, 5.1, 5.3, 5.5, 5.7, 6.0, 6.3, 6.7, 7.1, 7.5])}
)
def test_linear_model():
# 1) ... | 22.980392 | 80 | 0.50128 | 326 | 2,344 | 3.490798 | 0.245399 | 0.05536 | 0.035149 | 0.101054 | 0.625659 | 0.596661 | 0.568541 | 0.541301 | 0.495606 | 0.434095 | 0 | 0.139169 | 0.322526 | 2,344 | 101 | 81 | 23.207921 | 0.577456 | 0.046502 | 0 | 0.5 | 0 | 0 | 0.036355 | 0 | 0 | 0 | 0 | 0 | 0.0625 | 1 | 0.025 | false | 0 | 0.05 | 0 | 0.075 | 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 |
2f5e89412b184aa3f2abac3805b9bf927e055845 | 204 | py | Python | valid.py | whitereaper25/test_2 | 47212fc977bcd36e8879ada22f319691073accb1 | [
"Apache-2.0"
] | null | null | null | valid.py | whitereaper25/test_2 | 47212fc977bcd36e8879ada22f319691073accb1 | [
"Apache-2.0"
] | null | null | null | valid.py | whitereaper25/test_2 | 47212fc977bcd36e8879ada22f319691073accb1 | [
"Apache-2.0"
] | null | null | null | import re
def verify(phn_no):
design = "[789]\d{9}$"
if re.match(design,phn_no):
return "yes"
else:
return "No"
n = int(input())
for i in range(n):
print(verify(input())) | 18.545455 | 31 | 0.553922 | 32 | 204 | 3.46875 | 0.71875 | 0.09009 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026846 | 0.269608 | 204 | 11 | 32 | 18.545455 | 0.718121 | 0 | 0 | 0 | 0 | 0 | 0.078049 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.1 | 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 |
2f6096fad4d8b4fcb9ab49eab731fdc3465207c6 | 1,632 | py | Python | MAPLEAF/Rocket/sampleStatefulRocketComponent.py | henrystoldt/MAPLEAF | af970d3e8200832f5e70d537b15ad38dd74fa551 | [
"MIT"
] | 15 | 2020-09-11T19:25:07.000Z | 2022-03-12T16:34:53.000Z | MAPLEAF/Rocket/sampleStatefulRocketComponent.py | henrystoldt/MAPLEAF | af970d3e8200832f5e70d537b15ad38dd74fa551 | [
"MIT"
] | null | null | null | MAPLEAF/Rocket/sampleStatefulRocketComponent.py | henrystoldt/MAPLEAF | af970d3e8200832f5e70d537b15ad38dd74fa551 | [
"MIT"
] | 3 | 2021-12-24T19:39:53.000Z | 2022-03-29T01:06:28.000Z | from MAPLEAF.Motion import ForceMomentSystem, Inertia, Vector
from MAPLEAF.Rocket import RocketComponent
__all__ = [ "SampleStatefulComponent" ]
class SampleStatefulComponent(RocketComponent):
def __init__(self, componentDictReader, rocket, stage):
self.rocket = rocket
self.stage = stage
s... | 42.947368 | 128 | 0.694853 | 176 | 1,632 | 6.397727 | 0.539773 | 0.039964 | 0.033748 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017433 | 0.226716 | 1,632 | 38 | 129 | 42.947368 | 0.874802 | 0.210784 | 0 | 0 | 0 | 0 | 0.032006 | 0.017955 | 0 | 0 | 0 | 0 | 0 | 1 | 0.192308 | false | 0 | 0.076923 | 0.038462 | 0.461538 | 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 |
2f610ddfbb4015ca897145b09e2fa1a4b5263289 | 866 | py | Python | Array/Final450/Sort_Array_Of_0s_1s_2s.py | prash-kr-meena/GoogleR | 27aca71e51cc2442e604e07ab00406a98d8d63a4 | [
"Apache-2.0"
] | null | null | null | Array/Final450/Sort_Array_Of_0s_1s_2s.py | prash-kr-meena/GoogleR | 27aca71e51cc2442e604e07ab00406a98d8d63a4 | [
"Apache-2.0"
] | null | null | null | Array/Final450/Sort_Array_Of_0s_1s_2s.py | prash-kr-meena/GoogleR | 27aca71e51cc2442e604e07ab00406a98d8d63a4 | [
"Apache-2.0"
] | null | null | null | from Utils.Array import input_array
ZERO, ONE, TWO = 0, 1, 2
# Time -> O(n)
# Space -> O(1) inplace
def sort_by_counting(A):
cnt_0 = cnt_1 = cnt_2 = 0
# Count the number of 0s, 1s and 2s in the array
for num in A:
if num == ZERO:
cnt_0 += 1
elif num == ONE:
cnt_... | 16.339623 | 52 | 0.469977 | 159 | 866 | 2.396226 | 0.289308 | 0.036745 | 0.031496 | 0.031496 | 0.03937 | 0.023622 | 0 | 0 | 0 | 0 | 0 | 0.132797 | 0.426097 | 866 | 52 | 53 | 16.653846 | 0.633803 | 0.19515 | 0 | 0.107143 | 0 | 0 | 0.012739 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035714 | false | 0 | 0.035714 | 0 | 0.071429 | 0.035714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f61d9c0592b835198eb2ed4703fc9cefded5f37 | 1,911 | py | Python | miradar_node/scripts/ppi_visualizer.py | QibiTechInc/miradar_ros1_pkgs | 65b339147c2a1a990696d77e75b58f5fba84dc22 | [
"Apache-2.0"
] | null | null | null | miradar_node/scripts/ppi_visualizer.py | QibiTechInc/miradar_ros1_pkgs | 65b339147c2a1a990696d77e75b58f5fba84dc22 | [
"Apache-2.0"
] | null | null | null | miradar_node/scripts/ppi_visualizer.py | QibiTechInc/miradar_ros1_pkgs | 65b339147c2a1a990696d77e75b58f5fba84dc22 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import rospy
from miradar_node.msg import PPI, PPIData
from visualization_msgs.msg import MarkerArray, Marker
from geometry_msgs.msg import Point
import dynamic_reconfigure.client
class PPIVisualizer:
def __init__(self):
self.pub = rospy.Publisher("/miradar/markers", MarkerArray, qu... | 32.948276 | 83 | 0.591837 | 222 | 1,911 | 4.977477 | 0.382883 | 0.049774 | 0.021719 | 0.043439 | 0.139367 | 0.139367 | 0.079638 | 0.079638 | 0 | 0 | 0 | 0.015521 | 0.291994 | 1,911 | 57 | 84 | 33.526316 | 0.801183 | 0.010989 | 0 | 0.088889 | 0 | 0 | 0.057173 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.044444 | false | 0 | 0.111111 | 0 | 0.177778 | 0.022222 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f62350af98cfe5e5bc543e35cb2ce81345228a2 | 3,561 | py | Python | app/dashboard.py | nidheesh6/earlyearthquake | d0ab976629f126206afcd3dc15a76c66992f8a9e | [
"Apache-2.0"
] | null | null | null | app/dashboard.py | nidheesh6/earlyearthquake | d0ab976629f126206afcd3dc15a76c66992f8a9e | [
"Apache-2.0"
] | null | null | null | app/dashboard.py | nidheesh6/earlyearthquake | d0ab976629f126206afcd3dc15a76c66992f8a9e | [
"Apache-2.0"
] | null | null | null | import dash
from dash.dependencies import Input, Output
import dash_core_components as dcc
import dash_html_components as html
import psycopg2
import json
import pandas as pd
import time
app = dash.Dash(__name__)
#app.css.config.serve_locally=False
#app.css.append_css(
# {'external_url': 'https://codepen.io/amyosh... | 30.965217 | 193 | 0.48975 | 380 | 3,561 | 4.455263 | 0.521053 | 0.024808 | 0.023036 | 0.016539 | 0.050797 | 0 | 0 | 0 | 0 | 0 | 0 | 0.031436 | 0.33895 | 3,561 | 114 | 194 | 31.236842 | 0.687766 | 0.045493 | 0 | 0.032609 | 0 | 0.01087 | 0.244964 | 0.021919 | 0 | 0 | 0 | 0 | 0 | 1 | 0.021739 | false | 0.01087 | 0.086957 | 0 | 0.141304 | 0.021739 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f6638f61b3058472b08244c7bbaf61f509b9975 | 4,525 | py | Python | scripts/main_experiment.py | wsavran/relm_pycsep_reproducibility | 29294dc37627e74b4fcc4d05add1efc5950ded82 | [
"BSD-3-Clause"
] | null | null | null | scripts/main_experiment.py | wsavran/relm_pycsep_reproducibility | 29294dc37627e74b4fcc4d05add1efc5950ded82 | [
"BSD-3-Clause"
] | null | null | null | scripts/main_experiment.py | wsavran/relm_pycsep_reproducibility | 29294dc37627e74b4fcc4d05add1efc5950ded82 | [
"BSD-3-Clause"
] | null | null | null | # imports
from collections import defaultdict
import numpy as np
import matplotlib.pyplot as pyplot
# pycsep imports
import csep
from csep.utils import stats, plots
# experiment imports
from experiment_utilities import (
load_zechar_catalog,
plot_consistency_test_comparison,
read_zechar_csv_t... | 31.206897 | 113 | 0.651271 | 556 | 4,525 | 5.016187 | 0.25 | 0.057368 | 0.01972 | 0.03227 | 0.328075 | 0.242739 | 0.223378 | 0.223378 | 0.20545 | 0.20545 | 0 | 0.006605 | 0.230497 | 4,525 | 144 | 114 | 31.423611 | 0.794371 | 0.076022 | 0 | 0.242718 | 0 | 0.009709 | 0.183085 | 0.107641 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.067961 | 0 | 0.067961 | 0.116505 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f677c0ab09b208476f962949003f247df030535 | 10,284 | py | Python | kakuro.py | PanPapag/Kakuro | c2de75fff059fdb479c6c435205cf864bd057510 | [
"MIT"
] | 5 | 2020-01-01T19:12:34.000Z | 2020-05-16T08:57:08.000Z | kakuro.py | PanPapag/Kakuro | c2de75fff059fdb479c6c435205cf864bd057510 | [
"MIT"
] | 1 | 2020-04-26T09:51:55.000Z | 2020-04-26T10:41:25.000Z | kakuro.py | PanPapag/Kakuro | c2de75fff059fdb479c6c435205cf864bd057510 | [
"MIT"
] | null | null | null | import os
import re
import sys
import time
import puzzles
from csp import *
from search import *
from utils import *
class Kakuro(CSP):
def __init__(self, puzzle):
self.puzzle = puzzle
self.rows_size = len(puzzle)
self.cols_size = len(puzzle[0])
self.variables = self.get_variables(... | 40.809524 | 115 | 0.50564 | 1,165 | 10,284 | 4.345064 | 0.13133 | 0.011853 | 0.041486 | 0.01778 | 0.593244 | 0.531411 | 0.469972 | 0.424338 | 0.365863 | 0.337021 | 0 | 0.010034 | 0.379813 | 10,284 | 251 | 116 | 40.972112 | 0.783631 | 0.082653 | 0 | 0.397059 | 0 | 0 | 0.041454 | 0.006378 | 0.009804 | 0 | 0 | 0 | 0 | 1 | 0.063725 | false | 0 | 0.039216 | 0 | 0.20098 | 0.073529 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f6b87929186c7b4d57d3ad6750b0986257cf867 | 662 | py | Python | list_prime.py | zm6/Python-Practice | c2080e1104cd7cee4af8ebc3e3f4941fc7466586 | [
"MIT"
] | null | null | null | list_prime.py | zm6/Python-Practice | c2080e1104cd7cee4af8ebc3e3f4941fc7466586 | [
"MIT"
] | null | null | null | list_prime.py | zm6/Python-Practice | c2080e1104cd7cee4af8ebc3e3f4941fc7466586 | [
"MIT"
] | null | null | null | #!/user/bin/env python
# -*- coding:utf-8 -*-
# 作者:zm6
# 创建:2021-03-19
# 更新:2021-03-19
# 用意:打印N以内的质数
import time # 比较代码运行时间
def list_prime(n):
num = 0
for i in range(2, n + 1):
is_prime = 1 #预设质数为是
for j in range(2, i - 1):
if i % j == 0:
is_prime = 0 #设置质数为否
... | 16.55 | 54 | 0.493958 | 97 | 662 | 3.237113 | 0.556701 | 0.066879 | 0.050955 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.066351 | 0.362538 | 662 | 39 | 55 | 16.974359 | 0.677725 | 0.188822 | 0 | 0 | 0 | 0 | 0.076336 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.05 | 0 | 0.15 | 0.15 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f6cee267527184d028d64eb983074f84ea9f058 | 2,246 | py | Python | foyer/tests/test_forcefield.py | rmatsum836/foyer | c150d6f4c34e9ca7c5e4012e4406fb4ebab588cb | [
"MIT"
] | 1 | 2020-11-08T23:51:29.000Z | 2020-11-08T23:51:29.000Z | foyer/tests/test_forcefield.py | rmatsum836/foyer | c150d6f4c34e9ca7c5e4012e4406fb4ebab588cb | [
"MIT"
] | null | null | null | foyer/tests/test_forcefield.py | rmatsum836/foyer | c150d6f4c34e9ca7c5e4012e4406fb4ebab588cb | [
"MIT"
] | null | null | null | import glob
import os
from pkg_resources import resource_filename
import mbuild as mb
import parmed as pmd
import pytest
from foyer import Forcefield
from foyer.tests.utils import get_fn
FF_DIR = resource_filename('foyer', 'forcefields')
FORCEFIELDS = glob.glob(os.path.join(FF_DIR, '*.xml'))
def test_load_files()... | 31.194444 | 72 | 0.684328 | 344 | 2,246 | 4.34593 | 0.232558 | 0.053512 | 0.060201 | 0.056187 | 0.638796 | 0.632776 | 0.632776 | 0.632776 | 0.632776 | 0.527759 | 0 | 0.031798 | 0.18789 | 2,246 | 71 | 73 | 31.633803 | 0.787829 | 0 | 0 | 0.509434 | 0 | 0 | 0.06545 | 0 | 0 | 0 | 0 | 0 | 0.377358 | 1 | 0.09434 | false | 0 | 0.150943 | 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 |
2f705c1639774ae7481bbdfb1680d2106c872e2a | 1,418 | py | Python | app/pipelines/load_data/load_marketing_data/__init__.py | mediaimprove/mara-example-project-1 | d1cab4cf079e78a4c0f73edac73200fac4112f34 | [
"MIT"
] | 22 | 2020-10-07T21:32:07.000Z | 2022-03-21T19:21:36.000Z | app/pipelines/load_data/load_marketing_data/__init__.py | mediaimprove/mara-example-project-1 | d1cab4cf079e78a4c0f73edac73200fac4112f34 | [
"MIT"
] | 4 | 2020-07-16T15:22:46.000Z | 2020-10-28T15:18:32.000Z | app/pipelines/load_data/load_marketing_data/__init__.py | mediaimprove/mara-example-project-1 | d1cab4cf079e78a4c0f73edac73200fac4112f34 | [
"MIT"
] | 4 | 2020-10-08T10:30:04.000Z | 2022-03-19T09:21:51.000Z | import pathlib
from mara_pipelines.commands.sql import ExecuteSQL, Copy
from mara_pipelines.pipelines import Pipeline, Task
from mara_pipelines import config
pipeline = Pipeline(
id="load_marketing_data",
description="Jobs related with loading marketing leads data from the backend database",
max_number_of... | 32.227273 | 108 | 0.61213 | 154 | 1,418 | 5.337662 | 0.441558 | 0.06326 | 0.062044 | 0.053528 | 0.143552 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000987 | 0.285614 | 1,418 | 43 | 109 | 32.976744 | 0.810464 | 0 | 0 | 0.055556 | 0 | 0 | 0.311707 | 0.089563 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.111111 | 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 |
2f710ce3e46ffdc56061d382495ca8df6e25a15b | 320 | py | Python | apps/urls.py | cijianciqing/myWX_l_ningmo | df4c80554b0f3c58060352fc0d5fc6c649f805c8 | [
"Apache-2.0"
] | null | null | null | apps/urls.py | cijianciqing/myWX_l_ningmo | df4c80554b0f3c58060352fc0d5fc6c649f805c8 | [
"Apache-2.0"
] | null | null | null | apps/urls.py | cijianciqing/myWX_l_ningmo | df4c80554b0f3c58060352fc0d5fc6c649f805c8 | [
"Apache-2.0"
] | null | null | null |
from django.urls import path,include
from .views import menu, image, weixinFile
urlpatterns = [
path('menu/list', menu.get_menu),
path('menu/user', menu.UserMenu.as_view()),
path('image', image.ImageView.as_view()),
path('saveWX', weixinFile.saveWX),
path('getRecentWX', weixinFile.getRecentWX),
] | 26.666667 | 48 | 0.696875 | 40 | 320 | 5.5 | 0.5 | 0.072727 | 0.090909 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.14375 | 320 | 12 | 49 | 26.666667 | 0.80292 | 0 | 0 | 0 | 0 | 0 | 0.125392 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.222222 | 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 |
2f7149167478c04bd0604548dfe0f8ebb31e11a2 | 1,178 | py | Python | mayan/apps/django_gpg/links.py | garrans/mayan-edms | e95e90cc47447a1ae72629271652824aa9868572 | [
"Apache-2.0"
] | null | null | null | mayan/apps/django_gpg/links.py | garrans/mayan-edms | e95e90cc47447a1ae72629271652824aa9868572 | [
"Apache-2.0"
] | null | null | null | mayan/apps/django_gpg/links.py | garrans/mayan-edms | e95e90cc47447a1ae72629271652824aa9868572 | [
"Apache-2.0"
] | null | null | null | from __future__ import unicode_literals
from django.utils.translation import ugettext_lazy as _
from navigation import Link
from .permissions import (
permission_key_delete, permission_key_receive, permission_key_view,
permission_keyserver_query
)
link_private_keys = Link(
icon='fa fa-key', permissions=... | 31.837838 | 77 | 0.749576 | 155 | 1,178 | 5.296774 | 0.264516 | 0.126675 | 0.095006 | 0.116931 | 0.274056 | 0.244823 | 0.181486 | 0.181486 | 0.181486 | 0.181486 | 0 | 0 | 0.119694 | 1,178 | 36 | 78 | 32.722222 | 0.791707 | 0 | 0 | 0.096774 | 0 | 0 | 0.241935 | 0.103565 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.16129 | 0 | 0.16129 | 0.032258 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f73b6858df8269c4f5f2480de3342f864156c6c | 1,489 | py | Python | rosalind/splc/splc.py | TecKnow/learning | 71d1ddf9d580027ecc62a067581da378a9e85f6d | [
"BSD-3-Clause"
] | null | null | null | rosalind/splc/splc.py | TecKnow/learning | 71d1ddf9d580027ecc62a067581da378a9e85f6d | [
"BSD-3-Clause"
] | null | null | null | rosalind/splc/splc.py | TecKnow/learning | 71d1ddf9d580027ecc62a067581da378a9e85f6d | [
"BSD-3-Clause"
] | null | null | null | """
Problem : RNA Splicing
URL : http://rosalind.info/problems/splc/
Author : David P. Perkins
"""
import fasta
def getCodingRegion(DNAString, introns):
#print("DNA String", DNAString, "introns", introns)
codingString = list()
workingString = DNAString
while workingString:
for curI... | 29.78 | 85 | 0.601746 | 161 | 1,489 | 5.490683 | 0.52795 | 0.036199 | 0.058824 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007353 | 0.269308 | 1,489 | 49 | 86 | 30.387755 | 0.805147 | 0.200134 | 0 | 0 | 0 | 0 | 0.036441 | 0.024576 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.09375 | 0 | 0.21875 | 0.03125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f75db3882d66a7931843a46ed92b1bea9dfaf2f | 6,448 | py | Python | tests/integration/test_interrupt_fields.py | jvanstraten/vhdmmio | f166b07074a9159311a01af88497df91c19e09d1 | [
"Apache-2.0"
] | 4 | 2019-07-01T14:41:38.000Z | 2021-11-28T12:54:49.000Z | tests/integration/test_interrupt_fields.py | jvanstraten/vhdmmio | f166b07074a9159311a01af88497df91c19e09d1 | [
"Apache-2.0"
] | 4 | 2019-08-23T15:05:24.000Z | 2020-12-16T10:02:20.000Z | tests/integration/test_interrupt_fields.py | jvanstraten/vhdmmio | f166b07074a9159311a01af88497df91c19e09d1 | [
"Apache-2.0"
] | 1 | 2021-07-16T13:41:21.000Z | 2021-07-16T13:41:21.000Z | """Interrupt field tests."""
from copy import deepcopy
from unittest import TestCase
from ..testbench import RegisterFileTestbench
class TestInterruptFields(TestCase):
"""Interrupt field tests"""
def test_fields(self):
"""test interrupt fields"""
fields = []
types = {
typ:... | 38.380952 | 89 | 0.498759 | 628 | 6,448 | 5.078025 | 0.173567 | 0.076827 | 0.075886 | 0.110379 | 0.618062 | 0.566008 | 0.525557 | 0.358733 | 0.358733 | 0.314205 | 0 | 0.032567 | 0.352357 | 6,448 | 167 | 90 | 38.610778 | 0.731082 | 0.015664 | 0 | 0.455782 | 0 | 0 | 0.165033 | 0.003636 | 0 | 0 | 0.024344 | 0 | 0.217687 | 1 | 0.013605 | false | 0 | 0.020408 | 0 | 0.040816 | 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 |
2f762c138bc0fd2f04d2c1539f4eca93c9446723 | 1,745 | py | Python | app.py | corsmith/openshift-webhook-webex-teams-translator | fc20d4cdf2ca0959d2875048e6c5e5a1477ccec5 | [
"BSD-3-Clause"
] | null | null | null | app.py | corsmith/openshift-webhook-webex-teams-translator | fc20d4cdf2ca0959d2875048e6c5e5a1477ccec5 | [
"BSD-3-Clause"
] | null | null | null | app.py | corsmith/openshift-webhook-webex-teams-translator | fc20d4cdf2ca0959d2875048e6c5e5a1477ccec5 | [
"BSD-3-Clause"
] | null | null | null | import tornado.ioloop
import tornado.web
import tornado.options
from tornado.log import gen_log
'''
Alert Manager Documentation: https://prometheus.io/docs/alerting/configuration/
Sample alertmanager message:
{
"version": "4",
"groupKey": <string>, // key identifying the group of alerts (e.g. to deduplicate)... | 27.698413 | 177 | 0.638395 | 190 | 1,745 | 5.778947 | 0.6 | 0.03643 | 0.03643 | 0.04918 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009986 | 0.196562 | 1,745 | 62 | 178 | 28.145161 | 0.773181 | 0 | 0 | 0 | 0 | 0.034483 | 0.232692 | 0.027885 | 0 | 0 | 0 | 0 | 0 | 1 | 0.103448 | false | 0 | 0.137931 | 0.034483 | 0.344828 | 0.068966 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f7707e7a77d86241b0db0b4c74b1a925d1c197b | 695 | py | Python | projects/demos/location2.py | readysetstem/readysetstem-api | 01e1360f4a28a6783ee1e0fa1bc239dd999de6be | [
"Apache-2.0"
] | 1 | 2018-02-23T20:20:45.000Z | 2018-02-23T20:20:45.000Z | projects/demos/location2.py | readysetstem/readysetstem-api | 01e1360f4a28a6783ee1e0fa1bc239dd999de6be | [
"Apache-2.0"
] | 1 | 2016-10-25T18:00:15.000Z | 2016-10-25T18:00:15.000Z | projects/demos/location2.py | readysetstem/readysetstem-api | 01e1360f4a28a6783ee1e0fa1bc239dd999de6be | [
"Apache-2.0"
] | null | null | null | from rstem.led_matrix import FrameBuffer
from rstem.mcpi import minecraft, control
import time
control.show()
mc = minecraft.Minecraft.create()
SCALE = 25
fb = FrameBuffer()
count = 0
FLASH_COUNT = 3
flash_lit = True
while True:
pos = mc.player.getTilePos()
x = round(pos.x/SCALE + (fb.width-1)/2)
x_out_of_bound... | 19.305556 | 61 | 0.683453 | 130 | 695 | 3.507692 | 0.353846 | 0.070175 | 0.096491 | 0.052632 | 0.065789 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033333 | 0.179856 | 695 | 35 | 62 | 19.857143 | 0.766667 | 0 | 0 | 0.074074 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.111111 | 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 |
2f793c352ccb3c8ed1a615cf95be1f974da7e115 | 10,833 | py | Python | distributed_train.py | ShivamShrirao/contrastive-unpaired-translation | e81611a5bd8b7aee6aedab10aadf9e22a0804a63 | [
"BSD-3-Clause"
] | null | null | null | distributed_train.py | ShivamShrirao/contrastive-unpaired-translation | e81611a5bd8b7aee6aedab10aadf9e22a0804a63 | [
"BSD-3-Clause"
] | null | null | null | distributed_train.py | ShivamShrirao/contrastive-unpaired-translation | e81611a5bd8b7aee6aedab10aadf9e22a0804a63 | [
"BSD-3-Clause"
] | null | null | null | import os
from os.path import join as osp
import numpy as np
from tqdm import tqdm
import wandb
import torch
import torch.nn as nn
import torch.optim as optim
from torch.cuda import amp
import torch.distributed as dist
from torch.nn.parallel import DistributedDataParallel as DDP
from torch import autograd
from torch... | 48.361607 | 141 | 0.63925 | 1,510 | 10,833 | 4.362914 | 0.16755 | 0.020644 | 0.031573 | 0.044627 | 0.386157 | 0.346995 | 0.234214 | 0.20932 | 0.194596 | 0.184274 | 0 | 0.00775 | 0.2377 | 10,833 | 223 | 142 | 48.578475 | 0.790022 | 0.137173 | 0 | 0.07362 | 0 | 0 | 0.042065 | 0.002361 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055215 | false | 0 | 0.110429 | 0 | 0.196319 | 0.02454 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f7b986c2b053cb63e12ef06cb1f0c6623d1ab5a | 4,043 | py | Python | Generator.py | pawelmakarov/ORM | 1a17599b31ce6d73b08c8fa424e0a4201abfb3d3 | [
"MIT"
] | null | null | null | Generator.py | pawelmakarov/ORM | 1a17599b31ce6d73b08c8fa424e0a4201abfb3d3 | [
"MIT"
] | null | null | null | Generator.py | pawelmakarov/ORM | 1a17599b31ce6d73b08c8fa424e0a4201abfb3d3 | [
"MIT"
] | null | null | null | class Generator(object):
def __init__(self):
self.tables = []
self.alters = []
self.triggers = []
def write_to_file(self, output_file):
with open(output_file, 'w') as sql_file:
sql_file.write('{0}{1}'.format('\n'.join(table for table in self.tables), '\n'))
... | 43.010638 | 108 | 0.594855 | 514 | 4,043 | 4.445525 | 0.200389 | 0.06302 | 0.066958 | 0.017068 | 0.23151 | 0.18512 | 0.099344 | 0.099344 | 0.088403 | 0 | 0 | 0.012321 | 0.257235 | 4,043 | 93 | 109 | 43.473118 | 0.748585 | 0 | 0 | 0.053333 | 0 | 0.013333 | 0.183527 | 0.020777 | 0 | 0 | 0 | 0 | 0 | 1 | 0.173333 | false | 0 | 0.013333 | 0 | 0.293333 | 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 |
2f80a6cd8804248e492bd75be4cdf855bd46b3e3 | 1,606 | py | Python | location/models.py | swallville/driverBackEnd | 3599e5a2e58304e08502b10a3856b77a05c7fd16 | [
"MIT"
] | null | null | null | location/models.py | swallville/driverBackEnd | 3599e5a2e58304e08502b10a3856b77a05c7fd16 | [
"MIT"
] | 3 | 2021-03-30T12:53:49.000Z | 2021-09-22T18:44:52.000Z | location/models.py | swallville/driverBackEnd | 3599e5a2e58304e08502b10a3856b77a05c7fd16 | [
"MIT"
] | null | null | null | from django.contrib.gis.db import models
from django.db.models import Q
from django.core.exceptions import ValidationError
from django.utils.translation import gettext_lazy as _
# Create your models here.
class Location (models.Model):
name = models.CharField(
max_length=100,
verbose_name='Name of... | 30.301887 | 105 | 0.619552 | 178 | 1,606 | 5.438202 | 0.404494 | 0.102273 | 0.07438 | 0.099174 | 0.117769 | 0.117769 | 0.117769 | 0 | 0 | 0 | 0 | 0.013571 | 0.265878 | 1,606 | 52 | 106 | 30.884615 | 0.807464 | 0.014944 | 0 | 0.071429 | 0 | 0 | 0.161392 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.095238 | 0.02381 | 0.357143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f8142cd627ecd115f6acdab00511ac3d94dfb10 | 14,213 | py | Python | matroska_cache/dep/scopes.py | kolypto/py-matroska-cache | b40030f97d463aac8e3a6f4b0e0e9f081dfc92b1 | [
"MIT"
] | null | null | null | matroska_cache/dep/scopes.py | kolypto/py-matroska-cache | b40030f97d463aac8e3a6f4b0e0e9f081dfc92b1 | [
"MIT"
] | null | null | null | matroska_cache/dep/scopes.py | kolypto/py-matroska-cache | b40030f97d463aac8e3a6f4b0e0e9f081dfc92b1 | [
"MIT"
] | null | null | null | from __future__ import annotations
import warnings
from typing import Any, List, Callable, Tuple, Union, Collection, FrozenSet, Optional, Iterable, Set
from .base import DependencyBase, dataclass
from .tag import Tag
ExtractorFunc = Callable[[Any], Optional[dict]]
class Scopes:
""" Generate dependencies that ... | 42.810241 | 139 | 0.642651 | 1,711 | 14,213 | 5.251315 | 0.229106 | 0.017807 | 0.014023 | 0.010017 | 0.186867 | 0.162159 | 0.123317 | 0.123317 | 0.123317 | 0.116416 | 0 | 0.00069 | 0.286569 | 14,213 | 331 | 140 | 42.939577 | 0.885404 | 0.602617 | 0 | 0.166667 | 0 | 0.010417 | 0.140249 | 0.038382 | 0 | 0 | 0 | 0 | 0 | 1 | 0.09375 | false | 0 | 0.052083 | 0.010417 | 0.364583 | 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 |
2f853129c44d31a1158c0bd481a49cd736cdcaa4 | 7,326 | py | Python | sm4.py | cclauss/Pythonista-sm | ef5c6527f36334a2b4dc3f0a92f957161aa3bdd3 | [
"Apache-2.0"
] | 3 | 2021-08-23T02:49:09.000Z | 2021-08-24T01:48:14.000Z | sm4.py | cclauss/Pythonista-sm | ef5c6527f36334a2b4dc3f0a92f957161aa3bdd3 | [
"Apache-2.0"
] | null | null | null | sm4.py | cclauss/Pythonista-sm | ef5c6527f36334a2b4dc3f0a92f957161aa3bdd3 | [
"Apache-2.0"
] | 1 | 2021-08-23T03:02:39.000Z | 2021-08-23T03:02:39.000Z | # -*-coding:utf-8-*-
import base64
import copy
from .func import xor, rotl, get_uint32_be, put_uint32_be, bytes_to_list, list_to_bytes, padding, un_padding
BOXES_TABLE = [
0xd6,
0x90,
0xe9,
0xfe,
0xcc,
0xe1,
0x3d,
0xb7,
0x16,
0xb6,
0x14,
0xc2,
0x28,
0xfb,
0x2c,
0x05,
0x2b,
0x67,
0x9a,
0x76,
0x2a,... | 15.822894 | 108 | 0.632678 | 1,181 | 7,326 | 3.77138 | 0.367485 | 0.028738 | 0.028289 | 0.035025 | 0.316345 | 0.236641 | 0.201841 | 0.134037 | 0.121688 | 0.118096 | 0 | 0.189908 | 0.210074 | 7,326 | 462 | 109 | 15.857143 | 0.579748 | 0.104559 | 0 | 0.08794 | 0 | 0.002513 | 0.027401 | 0.009852 | 0 | 0 | 0.213054 | 0 | 0 | 1 | 0.030151 | false | 0 | 0.007538 | 0 | 0.067839 | 0.005025 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f86b378e72ad44c8909918ac3d29f4b3f63ef71 | 617 | py | Python | question_bank/unique-paths/unique-paths.py | yatengLG/leetcode-python | 5d48aecb578c86d69835368fad3d9cc21961c226 | [
"Apache-2.0"
] | 9 | 2020-08-12T10:01:00.000Z | 2022-01-05T04:37:48.000Z | question_bank/unique-paths/unique-paths.py | yatengLG/leetcode-python | 5d48aecb578c86d69835368fad3d9cc21961c226 | [
"Apache-2.0"
] | 1 | 2021-02-16T10:19:31.000Z | 2021-02-16T10:19:31.000Z | question_bank/unique-paths/unique-paths.py | yatengLG/leetcode-python | 5d48aecb578c86d69835368fad3d9cc21961c226 | [
"Apache-2.0"
] | 4 | 2020-08-12T10:13:31.000Z | 2021-11-05T01:26:58.000Z | # -*- coding: utf-8 -*-
# @Author : LG
"""
执行用时:40 ms, 在所有 Python3 提交中击败了74.47% 的用户
内存消耗:13.8 MB, 在所有 Python3 提交中击败了7.95% 的用户
解题思路:
只能向右或向下前进。
则当前格的路径数等于左侧格的路径数+上侧格的路径数
dp[i][j] = dp[i-1][j] + dp[i][j-1]
例子:
1 1 1 1 1 1
1 2 3 4 5 6
1 3 6 10 15 21
... | 22.851852 | 54 | 0.458671 | 109 | 617 | 2.577982 | 0.458716 | 0.049822 | 0.053381 | 0.05694 | 0.124555 | 0.124555 | 0.099644 | 0.099644 | 0.099644 | 0.099644 | 0 | 0.145119 | 0.385737 | 617 | 26 | 55 | 23.730769 | 0.596306 | 0.552674 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0 | 0 | 0.428571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f8851b9c216915fb1f4051cf734644949f0036e | 1,207 | py | Python | crusoe_observe/ansible/roles/mlData/files/build-ml.py | CSIRT-MU/CRUSOE | 73e4ac0ced6c3ac46d24ac5c3feb01a1e88bd36b | [
"MIT"
] | 3 | 2021-11-09T09:55:17.000Z | 2022-02-19T02:58:27.000Z | crusoe_observe/ansible/roles/mlData/files/build-ml.py | CSIRT-MU/CRUSOE | 73e4ac0ced6c3ac46d24ac5c3feb01a1e88bd36b | [
"MIT"
] | null | null | null | crusoe_observe/ansible/roles/mlData/files/build-ml.py | CSIRT-MU/CRUSOE | 73e4ac0ced6c3ac46d24ac5c3feb01a1e88bd36b | [
"MIT"
] | null | null | null | import sys
import structlog
from osrest import Tcpml
import services_component
def build_os(dataset_path, model_path, logger):
logger.info(f"Loading OS dataset from \"{dataset_path}\".")
dataset = Tcpml.load_dataset(dataset_path)
logger.info(f"Building OS model.")
model = Tcpml.build_model(dataset)
... | 30.948718 | 85 | 0.697597 | 176 | 1,207 | 4.505682 | 0.238636 | 0.090794 | 0.06053 | 0.050441 | 0.204288 | 0.138714 | 0 | 0 | 0 | 0 | 0 | 0.007944 | 0.1657 | 1,207 | 38 | 86 | 31.763158 | 0.779543 | 0 | 0 | 0 | 0 | 0 | 0.295775 | 0.13256 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.133333 | 0 | 0.233333 | 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 |
2f8911a3ffc8a10cc46f6545eeb625b8d7a7c1f6 | 4,049 | py | Python | converter.py | TheSpiritXIII/Qt-Creator-TmTheme | 3eba37c3712da9964e775a750732b6fda7cb6536 | [
"Apache-2.0"
] | 1 | 2022-01-02T19:55:18.000Z | 2022-01-02T19:55:18.000Z | converter.py | TheSpiritXIII/Qt-Creator-TmTheme | 3eba37c3712da9964e775a750732b6fda7cb6536 | [
"Apache-2.0"
] | null | null | null | converter.py | TheSpiritXIII/Qt-Creator-TmTheme | 3eba37c3712da9964e775a750732b6fda7cb6536 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import sys
import xml.etree.ElementTree as ET
def parse_value(element):
if element.tag == "string":
return element.text
elif element.tag == "dict":
return parse_dict(element)
elif element.tag == "array":
return parse_array(element)
else:
exception = "Unknown tag `" + element.tag + "`... | 29.992593 | 97 | 0.667078 | 500 | 4,049 | 5.3 | 0.27 | 0.076981 | 0.037358 | 0.036226 | 0.17434 | 0.123019 | 0.097358 | 0.097358 | 0.097358 | 0.067925 | 0 | 0.003545 | 0.163991 | 4,049 | 134 | 98 | 30.216418 | 0.779321 | 0.065942 | 0 | 0.152381 | 0 | 0 | 0.240795 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.019048 | 0 | 0.152381 | 0.009524 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f8eec6be049e9fe4a729f243ebe752e635be903 | 1,756 | py | Python | rfim2d/tests/test_param_dict.py | lxh3/rfim2d | 5283d0df492ad20ecef30b17803437ca9155f8b3 | [
"MIT"
] | null | null | null | rfim2d/tests/test_param_dict.py | lxh3/rfim2d | 5283d0df492ad20ecef30b17803437ca9155f8b3 | [
"MIT"
] | null | null | null | rfim2d/tests/test_param_dict.py | lxh3/rfim2d | 5283d0df492ad20ecef30b17803437ca9155f8b3 | [
"MIT"
] | null | null | null | from rfim2d import param_dict
key_dict = {
'A': ['Sigma', 'a', 'b'],
'dMdh': ['hMax', 'eta', 'a', 'b', 'c'],
'joint': ['rScale', 'rc', 'sScale', 'etaScale', 'df',
'lambdaH', 'B', 'C', 'F'],
'Sigma': ['rScale', 'rc', 'sScale', 'df', 'B', 'C'],
'eta': ['rScale', 'rc', 'etaScale', 'lambd... | 30.807018 | 83 | 0.600228 | 249 | 1,756 | 4.004016 | 0.261044 | 0.126379 | 0.060181 | 0.080241 | 0.211635 | 0.081244 | 0 | 0 | 0 | 0 | 0 | 0.01763 | 0.192483 | 1,756 | 56 | 84 | 31.357143 | 0.685473 | 0 | 0 | 0 | 0 | 0 | 0.151481 | 0 | 0 | 0 | 0 | 0 | 0.136364 | 1 | 0.113636 | false | 0 | 0.022727 | 0 | 0.159091 | 0.022727 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f90a5c7e193988dc43d8564c22a87b2b8ba9258 | 753 | py | Python | populator/exercise_splitter.py | Calvibert/workout-generator | 0c905a2132be4e0f440d8ecbfaba71592c0fe9e2 | [
"MIT"
] | null | null | null | populator/exercise_splitter.py | Calvibert/workout-generator | 0c905a2132be4e0f440d8ecbfaba71592c0fe9e2 | [
"MIT"
] | null | null | null | populator/exercise_splitter.py | Calvibert/workout-generator | 0c905a2132be4e0f440d8ecbfaba71592c0fe9e2 | [
"MIT"
] | null | null | null | # Upper-lower splitter for the exercise list
import sys
import exercise_populator_config as conf
print('Enter the file name: ')
filename = sys.stdin.readline()
filename = filename[0:len(filename)-1]
f = open(filename, 'r')
upper = conf.CONST_MUSCLES['upper']
lower = conf.CONST_MUSCLES['lower']
uex = []
lex = []
fo... | 16.733333 | 44 | 0.648074 | 119 | 753 | 4.016807 | 0.378151 | 0.075314 | 0.062762 | 0.075314 | 0.104603 | 0.104603 | 0.104603 | 0.104603 | 0 | 0 | 0 | 0.004983 | 0.200531 | 753 | 44 | 45 | 17.113636 | 0.789037 | 0.055777 | 0 | 0.193548 | 0 | 0 | 0.077574 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.064516 | 0 | 0.064516 | 0.096774 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f9197c39f4c2b4b9b35a18f55ab839142699e80 | 4,893 | py | Python | fbpmp/pcf/mpc/emp.py | benliugithub/fbpcs | 7af984264428058645847135026d474d7e28144e | [
"MIT"
] | null | null | null | fbpmp/pcf/mpc/emp.py | benliugithub/fbpcs | 7af984264428058645847135026d474d7e28144e | [
"MIT"
] | null | null | null | fbpmp/pcf/mpc/emp.py | benliugithub/fbpcs | 7af984264428058645847135026d474d7e28144e | [
"MIT"
] | null | null | null | #!/usr/bin/env/python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import asyncio
import logging
import os
import pathlib
import shutil
from typing import Dict, List
from fbpmp.pcf impo... | 35.977941 | 95 | 0.625179 | 598 | 4,893 | 4.961538 | 0.35786 | 0.032356 | 0.020222 | 0.019211 | 0.097068 | 0.06269 | 0.04786 | 0.04786 | 0.04786 | 0.04786 | 0 | 0.006014 | 0.286327 | 4,893 | 135 | 96 | 36.244444 | 0.843643 | 0.168404 | 0 | 0.086957 | 0 | 0 | 0.141203 | 0.070979 | 0 | 0 | 0 | 0.007407 | 0 | 1 | 0.032609 | false | 0 | 0.119565 | 0.01087 | 0.206522 | 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 |
2f939a72fbb64e7dc423500b36e371b897a8fc9b | 2,168 | py | Python | 01_Plots/plot_time_differences.py | awareseven/Reproducibility-and-Replicability-of-Web-Measurement-Studies | 38953c70a9ab03e1d29e4f9c6da13ffcaaeac84b | [
"Apache-2.0"
] | 3 | 2022-01-27T07:36:24.000Z | 2022-02-22T09:32:53.000Z | 01_Plots/plot_time_differences.py | awareseven/Reproducibility-and-Replicability-of-Web-Measurement-Studies | 38953c70a9ab03e1d29e4f9c6da13ffcaaeac84b | [
"Apache-2.0"
] | null | null | null | 01_Plots/plot_time_differences.py | awareseven/Reproducibility-and-Replicability-of-Web-Measurement-Studies | 38953c70a9ab03e1d29e4f9c6da13ffcaaeac84b | [
"Apache-2.0"
] | 1 | 2022-02-02T08:21:39.000Z | 2022-02-02T08:21:39.000Z | import matplotlib.font_manager as font_manager
import matplotlib.pyplot as plt
import pandas as pd
import os
# Read the data
path = os.path.join(os.getcwd(), "results")
df = pd.read_csv(os.path.join(path, "tracker_AND_cookies.csv"))
x = df["day"]
y1 = df["total_tracker"]
y2 = df["tracker_distinct"]
y3 = df["is_sessio... | 37.37931 | 100 | 0.683579 | 324 | 2,168 | 4.475309 | 0.388889 | 0.055172 | 0.074483 | 0.091034 | 0.317931 | 0.235172 | 0.202069 | 0.151034 | 0.095172 | 0.095172 | 0 | 0.031539 | 0.151753 | 2,168 | 57 | 101 | 38.035088 | 0.756933 | 0.096402 | 0 | 0 | 0 | 0 | 0.261026 | 0.028718 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.097561 | 0 | 0.097561 | 0.073171 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2f9feffcaa4a8285a2abe800ba2837e256eb6e2b | 2,636 | py | Python | nebula_utils/nebula_utils/persist_compute/utils.py | threathunterX/python_lib | e2d4052de04c82cb7bccd08042f28db824cab442 | [
"Apache-2.0"
] | 2 | 2019-03-17T04:03:08.000Z | 2019-05-01T09:42:23.000Z | nebula_utils/nebula_utils/persist_compute/utils.py | threathunterX/python_lib | e2d4052de04c82cb7bccd08042f28db824cab442 | [
"Apache-2.0"
] | null | null | null | nebula_utils/nebula_utils/persist_compute/utils.py | threathunterX/python_lib | e2d4052de04c82cb7bccd08042f28db824cab442 | [
"Apache-2.0"
] | 4 | 2019-06-24T05:47:24.000Z | 2020-09-29T05:00:31.000Z | # -*- coding: utf-8 -*-
Group_Key_To_Dimension = dict(
c_ip = 'ip',
uid = 'user',
page = 'page',
did = 'did',
# c_ipc = 'ipc',
)
Avail_Dimensions = tuple(Group_Key_To_Dimension.values())
# dimension : variable_name(获取点击量的变量名)
Click_Variable_Names = dict(
ip='ip__visit__dynamic_count__1h__slot'... | 28.967033 | 167 | 0.60091 | 389 | 2,636 | 3.645244 | 0.213368 | 0.074048 | 0.062059 | 0.080395 | 0.248942 | 0.171368 | 0.126939 | 0.126939 | 0.126939 | 0.126939 | 0 | 0.017822 | 0.233687 | 2,636 | 90 | 168 | 29.288889 | 0.684158 | 0.194234 | 0 | 0.04 | 0 | 0.04 | 0.297767 | 0.20794 | 0 | 0 | 0 | 0 | 0.04 | 1 | 0.04 | false | 0 | 0 | 0 | 0.06 | 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 |
85cb5db8536dff080788a2b44e8c7498ab0bd3f3 | 2,649 | py | Python | course_grader/dao/message.py | uw-it-aca/gradepage | 7059d715cc112ad0ecb0e5012f716e525ee7b3bc | [
"Apache-2.0"
] | 1 | 2017-01-29T09:52:06.000Z | 2017-01-29T09:52:06.000Z | course_grader/dao/message.py | uw-it-aca/gradepage | 7059d715cc112ad0ecb0e5012f716e525ee7b3bc | [
"Apache-2.0"
] | 287 | 2017-03-09T00:17:20.000Z | 2022-01-08T00:36:34.000Z | course_grader/dao/message.py | uw-it-aca/gradepage | 7059d715cc112ad0ecb0e5012f716e525ee7b3bc | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 UW-IT, University of Washington
# SPDX-License-Identifier: Apache-2.0
from course_grader.dao import current_datetime, display_datetime
from course_grader.dao.term import (
next_gradable_term, previous_gradable_term, submission_deadline_warning,
is_grading_period_open)
from persistent_message.m... | 35.797297 | 76 | 0.710834 | 327 | 2,649 | 5.348624 | 0.256881 | 0.133791 | 0.144654 | 0.074328 | 0.281875 | 0.173242 | 0.13665 | 0.098342 | 0.058319 | 0 | 0 | 0.014045 | 0.193658 | 2,649 | 73 | 77 | 36.287671 | 0.804775 | 0.030955 | 0 | 0.157895 | 0 | 0 | 0.117395 | 0.047582 | 0 | 0 | 0 | 0 | 0 | 1 | 0.070175 | false | 0 | 0.052632 | 0 | 0.210526 | 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 |
85cb84708ec1159fcbafba9f83ab692e7fdf9668 | 4,541 | py | Python | swn/file.py | wkitlasten/surface-water-network | fd36ad5ee3fbd7a1107f0c4c376c4af1295b5b1b | [
"BSD-3-Clause"
] | 18 | 2019-12-04T14:59:47.000Z | 2021-12-21T12:34:28.000Z | swn/file.py | jonathanqv/surface-water-network | 362217c897345042464564440be08b34f6f0915d | [
"BSD-3-Clause"
] | 17 | 2020-04-15T04:49:49.000Z | 2022-03-04T05:22:17.000Z | swn/file.py | jonathanqv/surface-water-network | 362217c897345042464564440be08b34f6f0915d | [
"BSD-3-Clause"
] | 6 | 2020-05-07T23:56:12.000Z | 2022-01-08T16:56:32.000Z | """File reading/writing helpers."""
__all__ = ["topnet2ts", "gdf_to_shapefile"]
import geopandas
import pandas as pd
from swn.logger import get_logger, logging
def topnet2ts(nc_path, varname, mult=None, log_level=logging.INFO):
"""Read TopNet data from a netCDF file into a pandas.DataFrame timeseries.
Use... | 32.435714 | 78 | 0.602731 | 579 | 4,541 | 4.594128 | 0.381693 | 0.015789 | 0.015038 | 0.008271 | 0.013534 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012741 | 0.291346 | 4,541 | 139 | 79 | 32.669065 | 0.81386 | 0.245761 | 0 | 0.046512 | 0 | 0 | 0.179933 | 0 | 0 | 0 | 0 | 0 | 0.011628 | 1 | 0.023256 | false | 0 | 0.104651 | 0 | 0.139535 | 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 |
85cc4f7ba3e6215d40e3cc9668b7b4fc514ab919 | 5,752 | py | Python | assignment4/src/clean_documents.py | jschmidtnj/cs584 | d1d4d485d1fac8743cdbbc2996792db249dcf389 | [
"MIT"
] | null | null | null | assignment4/src/clean_documents.py | jschmidtnj/cs584 | d1d4d485d1fac8743cdbbc2996792db249dcf389 | [
"MIT"
] | null | null | null | assignment4/src/clean_documents.py | jschmidtnj/cs584 | d1d4d485d1fac8743cdbbc2996792db249dcf389 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
data clean for books (clean_documents.py)
note - this is the same as in assignment 1 for the most part
"""
import re
from ast import literal_eval
from os.path import basename, splitext, exists
from typing import Optional, List
from utils import get_glob, file_path_relative
from variables im... | 39.129252 | 107 | 0.619784 | 734 | 5,752 | 4.592643 | 0.211172 | 0.033225 | 0.019282 | 0.010679 | 0.143578 | 0.077722 | 0.04509 | 0.029071 | 0.029071 | 0.029071 | 0 | 0.005176 | 0.29468 | 5,752 | 146 | 108 | 39.39726 | 0.825733 | 0.052156 | 0 | 0.017857 | 0 | 0 | 0.074478 | 0.017372 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017857 | false | 0 | 0.098214 | 0 | 0.142857 | 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 |
85ccd6d8d9bc17b243d312e04343cd6c75bdd27f | 6,041 | py | Python | miniproject/api/organization/views.py | dandy7373/HR_web | 65dd80159c7e3113961d55ef126b7df75c7bda13 | [
"MIT"
] | null | null | null | miniproject/api/organization/views.py | dandy7373/HR_web | 65dd80159c7e3113961d55ef126b7df75c7bda13 | [
"MIT"
] | null | null | null | miniproject/api/organization/views.py | dandy7373/HR_web | 65dd80159c7e3113961d55ef126b7df75c7bda13 | [
"MIT"
] | null | null | null | from django.shortcuts import render
from rest_framework.generics import RetrieveAPIView,CreateAPIView
from rest_framework.permissions import AllowAny
from rest_framework.response import Response
from rest_framework.status import HTTP_200_OK, HTTP_400_BAD_REQUEST,HTTP_201_CREATED
from rest_framework.views import APIView... | 37.290123 | 140 | 0.608343 | 675 | 6,041 | 5.30963 | 0.17037 | 0.07673 | 0.027902 | 0.047433 | 0.40904 | 0.301618 | 0.275391 | 0.260882 | 0.196429 | 0.153181 | 0 | 0.014393 | 0.275451 | 6,041 | 162 | 141 | 37.290123 | 0.804432 | 0 | 0 | 0.355705 | 0 | 0 | 0.066203 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.053691 | false | 0.013423 | 0.067114 | 0 | 0.315436 | 0.134228 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85ccf00c2aab76068a1c4fc3ab1b4c929b9cff1a | 9,378 | py | Python | nutils/cli.py | JochenHinz/nutils | ac18dd6825b107e2e4c186ebb1598dbf0fff0f77 | [
"MIT"
] | null | null | null | nutils/cli.py | JochenHinz/nutils | ac18dd6825b107e2e4c186ebb1598dbf0fff0f77 | [
"MIT"
] | null | null | null | nutils/cli.py | JochenHinz/nutils | ac18dd6825b107e2e4c186ebb1598dbf0fff0f77 | [
"MIT"
] | null | null | null | # Copyright (c) 2014 Evalf
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, s... | 44.028169 | 187 | 0.683301 | 1,204 | 9,378 | 5.273256 | 0.375415 | 0.00945 | 0.018743 | 0.006143 | 0.055442 | 0.044101 | 0.044101 | 0.041266 | 0.01197 | 0.01197 | 0 | 0.026173 | 0.17701 | 9,378 | 212 | 188 | 44.235849 | 0.795672 | 0.161122 | 0 | 0.121019 | 0 | 0.025478 | 0.276237 | 0.115557 | 0 | 0 | 0 | 0 | 0.006369 | 1 | 0.044586 | false | 0 | 0.012739 | 0 | 0.101911 | 0.070064 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85ceb804c95eaa5e6ed011f7728feba8c174befd | 6,336 | py | Python | experiments/alpha_analysis.py | oeg-upm/tada-entity | 6e538129229bed49bf1aa960fcd97a8468eca765 | [
"Apache-2.0"
] | 3 | 2019-06-11T10:19:25.000Z | 2022-02-28T22:58:29.000Z | experiments/alpha_analysis.py | oeg-upm/tada-entity | 6e538129229bed49bf1aa960fcd97a8468eca765 | [
"Apache-2.0"
] | 7 | 2019-02-04T08:57:54.000Z | 2021-11-01T12:42:03.000Z | experiments/alpha_analysis.py | oeg-upm/tada-entity | 6e538129229bed49bf1aa960fcd97a8468eca765 | [
"Apache-2.0"
] | null | null | null | """
This script analyses optimal alphas for each class and draws them in a box and whisker plot
"""
import pandas as pd
import argparse
import seaborn as sns
import matplotlib.pyplot as plt
import itertools
def shorten_uri(class_uri, base="http://dbpedia.org/ontology/", pref="dbo:"):
return class_uri.replace(base... | 34.622951 | 114 | 0.574337 | 812 | 6,336 | 4.316502 | 0.280788 | 0.012839 | 0.029101 | 0.01826 | 0.297575 | 0.24194 | 0.210556 | 0.137518 | 0.077033 | 0.077033 | 0 | 0.011847 | 0.280619 | 6,336 | 182 | 115 | 34.813187 | 0.75713 | 0.283617 | 0 | 0.121212 | 0 | 0 | 0.145305 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.070707 | false | 0 | 0.050505 | 0.010101 | 0.151515 | 0.070707 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85cf779b9a1cc2e9b35950583be014be08b8ba73 | 1,009 | py | Python | p039m/combination_sum.py | l33tdaima/l33tdaima | 0a7a9573dc6b79e22dcb54357493ebaaf5e0aa90 | [
"MIT"
] | 1 | 2020-02-20T12:04:46.000Z | 2020-02-20T12:04:46.000Z | p039m/combination_sum.py | l33tdaima/l33tdaima | 0a7a9573dc6b79e22dcb54357493ebaaf5e0aa90 | [
"MIT"
] | null | null | null | p039m/combination_sum.py | l33tdaima/l33tdaima | 0a7a9573dc6b79e22dcb54357493ebaaf5e0aa90 | [
"MIT"
] | null | null | null | from typing import List
class Solution:
def combinationSum(self, candidates: List[int], target: int) -> List[List[int]]:
candidates.sort()
ans = []
def helper(path: List[int], target: int, start: int) -> None:
if target < 0:
return
if target == 0:
... | 27.27027 | 84 | 0.489594 | 123 | 1,009 | 4.01626 | 0.357724 | 0.020243 | 0.018219 | 0.064777 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.05052 | 0.333003 | 1,009 | 36 | 85 | 28.027778 | 0.683507 | 0.004955 | 0 | 0.068966 | 0 | 0 | 0.022954 | 0 | 0 | 0 | 0 | 0 | 0.034483 | 1 | 0.068966 | false | 0 | 0.034483 | 0 | 0.241379 | 0.034483 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85d1bb79ecc810612d2ce67b9924416144e6d28f | 7,706 | py | Python | singleimagemodel.py | severinaklingler/kaggle-ocular-disease | a6641f6005d1a7f2399b4de9e804ab3ac7f20dd2 | [
"Apache-2.0"
] | null | null | null | singleimagemodel.py | severinaklingler/kaggle-ocular-disease | a6641f6005d1a7f2399b4de9e804ab3ac7f20dd2 | [
"Apache-2.0"
] | null | null | null | singleimagemodel.py | severinaklingler/kaggle-ocular-disease | a6641f6005d1a7f2399b4de9e804ab3ac7f20dd2 | [
"Apache-2.0"
] | null | null | null | from logging import getLevelName
import numpy as np
import os
import tensorflow as tf
import pathlib
import pandas as pd
import re
import matplotlib.pyplot as plt
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Input
from tensorflow.keras.layers import Dense
from tensorflow.keras.layers im... | 32.514768 | 139 | 0.706982 | 1,077 | 7,706 | 4.82637 | 0.278552 | 0.020777 | 0.029242 | 0.028857 | 0.166603 | 0.075798 | 0.029627 | 0.029627 | 0.01693 | 0 | 0 | 0.012197 | 0.170127 | 7,706 | 237 | 140 | 32.514768 | 0.800625 | 0.007527 | 0 | 0.010929 | 0 | 0 | 0.080565 | 0.015041 | 0 | 0 | 0 | 0.004219 | 0 | 1 | 0.098361 | false | 0 | 0.10929 | 0.016393 | 0.284153 | 0.032787 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85d2ee56a1605c4085ef6834b7da596c8770a900 | 17,167 | py | Python | features/steps/prs_steps.py | spidezad/python-pptx | eab3f55b84b54906876d5486172d5d0c457d55f8 | [
"BSD-2-Clause"
] | 1 | 2021-05-17T06:33:32.000Z | 2021-05-17T06:33:32.000Z | features/steps/prs_steps.py | spidezad/python-pptx | eab3f55b84b54906876d5486172d5d0c457d55f8 | [
"BSD-2-Clause"
] | null | null | null | features/steps/prs_steps.py | spidezad/python-pptx | eab3f55b84b54906876d5486172d5d0c457d55f8 | [
"BSD-2-Clause"
] | null | null | null | import os
from datetime import datetime, timedelta
from behave import given, when, then
from hamcrest import (
assert_that, equal_to, has_item, is_, is_not, greater_than, less_than
)
from StringIO import StringIO
from pptx import packaging
from pptx import Presentation
from pptx.constants import MSO_AUTO_SHAPE_T... | 33.926877 | 74 | 0.732044 | 2,609 | 17,167 | 4.551552 | 0.110387 | 0.037137 | 0.037221 | 0.042105 | 0.531368 | 0.449853 | 0.382316 | 0.312337 | 0.269137 | 0.233684 | 0 | 0.01776 | 0.147201 | 17,167 | 505 | 75 | 33.994059 | 0.793374 | 0.021029 | 0 | 0.220994 | 0 | 0 | 0.178284 | 0.0025 | 0 | 0 | 0 | 0 | 0.107735 | 1 | 0.176796 | false | 0.002762 | 0.024862 | 0.002762 | 0.20442 | 0.002762 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85d71db4dff31a27689c64809381f6863f31ac08 | 3,177 | py | Python | PomodoroTimer/Python/main2.py | zcribe/SmallProjectsCollection | fbd6bc9884468eba7519728e295b36b24043af27 | [
"MIT"
] | null | null | null | PomodoroTimer/Python/main2.py | zcribe/SmallProjectsCollection | fbd6bc9884468eba7519728e295b36b24043af27 | [
"MIT"
] | null | null | null | PomodoroTimer/Python/main2.py | zcribe/SmallProjectsCollection | fbd6bc9884468eba7519728e295b36b24043af27 | [
"MIT"
] | null | null | null | from time import time, sleep
from math import floor
import argparse
import csv
import datetime
# Constants
TIME_WORK = 25
TIME_REST = 5
TIME_REST_LONG = 30
ONE_MINUTE = 60
SESSIONS_WORK_MAX = 4
LOOP_LIMIT = 9999
# Console
parser = argparse.ArgumentParser(description='===== Pomodoro timer CLI =====')
parser.add_argume... | 33.09375 | 115 | 0.664463 | 407 | 3,177 | 4.948403 | 0.297297 | 0.083913 | 0.059086 | 0.029791 | 0.146971 | 0.069017 | 0.027805 | 0.027805 | 0.027805 | 0 | 0 | 0.008052 | 0.21813 | 3,177 | 95 | 116 | 33.442105 | 0.802738 | 0.006925 | 0 | 0.027397 | 0 | 0 | 0.166931 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.082192 | false | 0 | 0.068493 | 0.013699 | 0.191781 | 0.027397 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85db5b6d5b5a64186bb3b9c04d0a279e4a5f0c0a | 998 | py | Python | hw1/1.6/encrpyt_equals_decrypt.py | rocke97/crypto | 89c4e595adf74558e12ceb1762025fd2f0275fec | [
"MIT"
] | null | null | null | hw1/1.6/encrpyt_equals_decrypt.py | rocke97/crypto | 89c4e595adf74558e12ceb1762025fd2f0275fec | [
"MIT"
] | null | null | null | hw1/1.6/encrpyt_equals_decrypt.py | rocke97/crypto | 89c4e595adf74558e12ceb1762025fd2f0275fec | [
"MIT"
] | null | null | null | from itertools import count
from string import ascii_lowercase
plain_text = 'july'
results_file = open('results.txt', 'w')
letters_to_numbers = dict(zip(ascii_lowercase, count(0)))
numbers_to_letters = dict(zip(count(0), ascii_lowercase))
plain_text_numbers = [letters_to_numbers[letter] for letter in plain_text]
for i... | 52.526316 | 111 | 0.728457 | 149 | 998 | 4.66443 | 0.355705 | 0.168345 | 0.103597 | 0.066187 | 0.141007 | 0.077698 | 0.077698 | 0.077698 | 0 | 0 | 0 | 0.010896 | 0.172345 | 998 | 19 | 112 | 52.526316 | 0.830508 | 0.196393 | 0 | 0 | 0 | 0 | 0.0875 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.133333 | 0 | 0.133333 | 0.2 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85db89656ff34bccb3df57eb36eff9c756872dce | 2,663 | py | Python | generator.py | mann1/DD_SIM_Template | 84c7787b6b3c52f08e7031114894c98416c02fcf | [
"MIT"
] | null | null | null | generator.py | mann1/DD_SIM_Template | 84c7787b6b3c52f08e7031114894c98416c02fcf | [
"MIT"
] | null | null | null | generator.py | mann1/DD_SIM_Template | 84c7787b6b3c52f08e7031114894c98416c02fcf | [
"MIT"
] | null | null | null | import os, pickle
import numpy as np
import tensorflow as tf
def read_pickle(file_name):
with (open(file_name, "rb")) as openfile:
while True:
try:
objects = pickle.load(openfile)
except EOFError:
break
return objects
class Generator(tf.keras.uti... | 32.876543 | 108 | 0.613969 | 341 | 2,663 | 4.542522 | 0.258065 | 0.051646 | 0.042608 | 0.036152 | 0.179471 | 0.151065 | 0.151065 | 0.107166 | 0.107166 | 0.058102 | 0 | 0.002626 | 0.285017 | 2,663 | 81 | 109 | 32.876543 | 0.810924 | 0.124296 | 0 | 0 | 0 | 0 | 0.057855 | 0 | 0 | 0 | 0 | 0 | 0.020408 | 1 | 0.122449 | false | 0 | 0.061224 | 0 | 0.265306 | 0.081633 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85db99fa2aa9b948ffca4017b69512e862fe9571 | 5,096 | py | Python | src/mlb/schedule/schedule_view.py | benbrandt22/MagTagMLB | 1ec347743bc7df9339fb8e3de0f86ea037b7694f | [
"MIT"
] | null | null | null | src/mlb/schedule/schedule_view.py | benbrandt22/MagTagMLB | 1ec347743bc7df9339fb8e3de0f86ea037b7694f | [
"MIT"
] | null | null | null | src/mlb/schedule/schedule_view.py | benbrandt22/MagTagMLB | 1ec347743bc7df9339fb8e3de0f86ea037b7694f | [
"MIT"
] | null | null | null | from mlb.models.game_detail import GameDetail
import time
import board
import displayio
from adafruit_display_text import label
from adafruit_display_shapes.roundrect import RoundRect
import fonts.fonts as FONTS
from mlb.schedule.schedule_view_model import ScheduleViewModel
from time_utils import day_of_week, month_nam... | 38.315789 | 114 | 0.649333 | 661 | 5,096 | 4.748865 | 0.229955 | 0.048742 | 0.047786 | 0.065945 | 0.191144 | 0.178401 | 0.136668 | 0.050972 | 0.050972 | 0.02676 | 0 | 0.054526 | 0.258634 | 5,096 | 133 | 115 | 38.315789 | 0.776337 | 0.038462 | 0 | 0.021053 | 0 | 0 | 0.062551 | 0.047629 | 0 | 0 | 0.019624 | 0 | 0 | 1 | 0.031579 | false | 0 | 0.094737 | 0 | 0.157895 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85dddc830d151d3b583e5d23116cb924afd1cfe8 | 2,106 | py | Python | src/platform_controller/scripts/controlTiltMotors.py | ahmohamed1/activeStereoVisionPlatform | 6c928ca242e4de68c7b15a8748bff1d9f7fa1382 | [
"MIT"
] | null | null | null | src/platform_controller/scripts/controlTiltMotors.py | ahmohamed1/activeStereoVisionPlatform | 6c928ca242e4de68c7b15a8748bff1d9f7fa1382 | [
"MIT"
] | null | null | null | src/platform_controller/scripts/controlTiltMotors.py | ahmohamed1/activeStereoVisionPlatform | 6c928ca242e4de68c7b15a8748bff1d9f7fa1382 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import rospy
import actionlib
from control_msgs.msg import *
from std_msgs.msg import Float64
from sensor_msgs.msg import JointState
PI = 3.14159265359
class TiltMotorController:
def __init__(self):
self.leftMotor_publisher = rospy.Publisher('/left_motor_tilt/command', Float64, queue_size =... | 23.931818 | 104 | 0.746439 | 266 | 2,106 | 5.733083 | 0.304511 | 0.036721 | 0.060328 | 0.04459 | 0.157377 | 0.154754 | 0.120656 | 0.120656 | 0.072131 | 0.072131 | 0 | 0.032009 | 0.139601 | 2,106 | 87 | 105 | 24.206897 | 0.809603 | 0.062678 | 0 | 0.08 | 0 | 0 | 0.078623 | 0.02518 | 0 | 0 | 0 | 0 | 0 | 1 | 0.18 | false | 0 | 0.1 | 0.04 | 0.34 | 0.02 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85dde154e71416994a5fa1e8b1afe91eea13927c | 14,888 | py | Python | py/Parser.py | Sqazine/ComputeDuck | d307d88a24601d433aa7507ea90000207a34e1f0 | [
"Apache-2.0"
] | 2 | 2021-12-05T12:38:26.000Z | 2022-03-09T02:24:44.000Z | py/Parser.py | Sqazine/ComputeDuck | d307d88a24601d433aa7507ea90000207a34e1f0 | [
"Apache-2.0"
] | null | null | null | py/Parser.py | Sqazine/ComputeDuck | d307d88a24601d433aa7507ea90000207a34e1f0 | [
"Apache-2.0"
] | null | null | null | from ast import Lambda
from enum import IntEnum
from typing import Any
from Ast import Stmt
from Ast import Expr
from Token import Token, TokenType
from Utils import Assert
from Ast import AstType, ArrayExpr, BoolExpr, ExprStmt, FunctionCallExpr, FunctionStmt, GroupExpr, IdentifierExpr, IfStmt, IndexExpr, InfixExpr, ... | 39.076115 | 273 | 0.637493 | 1,401 | 14,888 | 6.698787 | 0.146324 | 0.044539 | 0.08098 | 0.029728 | 0.324347 | 0.233138 | 0.16292 | 0.130954 | 0.088652 | 0.031966 | 0 | 0.002244 | 0.251612 | 14,888 | 380 | 274 | 39.178947 | 0.840065 | 0.002955 | 0 | 0.163522 | 0 | 0 | 0.06108 | 0 | 0 | 0 | 0 | 0 | 0.009434 | 1 | 0.122642 | false | 0 | 0.025157 | 0.015723 | 0.374214 | 0.003145 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85e03a75a96c393560650c8bb391a58fe00c64f1 | 302 | py | Python | code/color.py | Archkitten/sleep | dd81d8fe379d8e37c58b101d78fe258588d6c1bc | [
"MIT"
] | null | null | null | code/color.py | Archkitten/sleep | dd81d8fe379d8e37c58b101d78fe258588d6c1bc | [
"MIT"
] | null | null | null | code/color.py | Archkitten/sleep | dd81d8fe379d8e37c58b101d78fe258588d6c1bc | [
"MIT"
] | null | null | null | # COLORS
black = "\033[30m"
red = "\033[31m"
green = "\033[32m"
yellow = "\033[33m"
blue = "\033[34m"
magenta = "\033[35m"
cyan = "\033[36m"
white = "\033[37m"
nc = "\n"
# COLOR TESTING
def test():
print(red + "test")
print(blue + "test2")
print(green + "test3" + "\n" + cyan + "test4" + white)
| 17.764706 | 56 | 0.566225 | 44 | 302 | 3.886364 | 0.636364 | 0.105263 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.17623 | 0.192053 | 302 | 16 | 57 | 18.875 | 0.52459 | 0.066225 | 0 | 0 | 0 | 0 | 0.311828 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0 | 0 | 0.076923 | 0.230769 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85e1dc6359b959fbe3bde169c1c1df0d7df72888 | 253 | py | Python | database/urls.py | shrishtickling/train_coding | ba2918ce13379940f359e2ae253987691a00f3a9 | [
"Apache-2.0"
] | null | null | null | database/urls.py | shrishtickling/train_coding | ba2918ce13379940f359e2ae253987691a00f3a9 | [
"Apache-2.0"
] | null | null | null | database/urls.py | shrishtickling/train_coding | ba2918ce13379940f359e2ae253987691a00f3a9 | [
"Apache-2.0"
] | null | null | null | from django.urls import path
from . import views
app_name = 'database'
urlpatterns = [
path('update/', views.update),
path('update2/', views.update2),
path('update3/', views.update3),
path('upload-user/', views.create_user_dataset)
]
| 19.461538 | 51 | 0.675889 | 31 | 253 | 5.419355 | 0.548387 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018957 | 0.166008 | 253 | 12 | 52 | 21.083333 | 0.777251 | 0 | 0 | 0 | 0 | 0 | 0.170635 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.222222 | 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 |
85e31f8319151021136e63792aab66a8fe4825ad | 421 | py | Python | scripts/read_radar.py | jdiasn/raincoat | b0249c88f1a5ca22a720285e87be4b06b67705b5 | [
"MIT"
] | 1 | 2020-04-22T05:41:08.000Z | 2020-04-22T05:41:08.000Z | scripts/read_radar.py | jdiasn/raincoat | b0249c88f1a5ca22a720285e87be4b06b67705b5 | [
"MIT"
] | null | null | null | scripts/read_radar.py | jdiasn/raincoat | b0249c88f1a5ca22a720285e87be4b06b67705b5 | [
"MIT"
] | 4 | 2019-01-01T11:33:14.000Z | 2021-01-04T20:34:43.000Z | from raincoat.radarFunctions import getVarTimeRange, getRadarVar
import pandas as pd
data = getRadarVar('../samplefiles/radar/181202_000000_P09_ZEN_compact.nc',
'2001.01.01. 00:00:00',
'Ze')
start = pd.to_datetime('2018-12-02 00:00:00', format='%Y-%m-%d %H:%M:%S')
stop = pd.to_datetime... | 35.083333 | 75 | 0.655582 | 68 | 421 | 3.970588 | 0.544118 | 0.074074 | 0.044444 | 0.118519 | 0.266667 | 0.266667 | 0.118519 | 0.118519 | 0.118519 | 0 | 0 | 0.171831 | 0.15677 | 421 | 11 | 76 | 38.272727 | 0.588732 | 0 | 0 | 0 | 0 | 0 | 0.35 | 0.12619 | 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 |
85e79f4d2b450460c3e188d3ec311565e5eee0d2 | 30,714 | py | Python | SoundServer.py | yoyoberenguer/SoundServer | 3a824a8f519f205d5f4c277d314cb92732a157b1 | [
"MIT"
] | null | null | null | SoundServer.py | yoyoberenguer/SoundServer | 3a824a8f519f205d5f4c277d314cb92732a157b1 | [
"MIT"
] | null | null | null | SoundServer.py | yoyoberenguer/SoundServer | 3a824a8f519f205d5f4c277d314cb92732a157b1 | [
"MIT"
] | null | null | null | # encoding: utf-8
__version__ = "1.0.1"
try:
import pygame
from pygame import mixer
except ImportError:
raise ImportError("\n<pygame> library is missing on your system."
"\nTry: \n C:\\pip install pygame on a window command prompt.")
from time import time
class SoundObje... | 39.226054 | 119 | 0.513088 | 3,516 | 30,714 | 4.34215 | 0.092435 | 0.013362 | 0.013755 | 0.007926 | 0.449008 | 0.407873 | 0.399555 | 0.383245 | 0.373354 | 0.363726 | 0 | 0.008125 | 0.418929 | 30,714 | 782 | 120 | 39.276215 | 0.847313 | 0.297454 | 0 | 0.581948 | 0 | 0.002375 | 0.091607 | 0 | 0 | 0 | 0 | 0.001279 | 0.021378 | 1 | 0.071259 | false | 0 | 0.011876 | 0 | 0.135392 | 0.011876 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85e90c8a65010ce9ecba5749d22457498fa4d999 | 2,931 | py | Python | tests/extmethods/run.py | dariobig/pyangbind | db0808f719bb963dac85606fddd65a1930a84aef | [
"Apache-2.0"
] | 1 | 2020-04-01T05:45:41.000Z | 2020-04-01T05:45:41.000Z | tests/extmethods/run.py | dariobig/pyangbind | db0808f719bb963dac85606fddd65a1930a84aef | [
"Apache-2.0"
] | null | null | null | tests/extmethods/run.py | dariobig/pyangbind | db0808f719bb963dac85606fddd65a1930a84aef | [
"Apache-2.0"
] | 3 | 2016-11-01T23:51:35.000Z | 2018-05-23T10:09:08.000Z | #!/usr/bin/env python
import os
import sys
import getopt
TESTNAME = "extmethods"
class extmethodcls(object):
def commit(self, *args, **kwargs):
return "COMMIT_CALLED"
def presave(self, *args, **kwargs):
return "PRESAVE_CALLED"
def postsave(self, *args, **kwargs):
return "POSTSAVE_CALLED"
def ... | 29.019802 | 76 | 0.604572 | 375 | 2,931 | 4.610667 | 0.314667 | 0.040486 | 0.041643 | 0.057837 | 0.122036 | 0.064777 | 0.039329 | 0.039329 | 0 | 0 | 0 | 0.004986 | 0.247356 | 2,931 | 100 | 77 | 29.31 | 0.778785 | 0.018083 | 0 | 0.026316 | 0 | 0 | 0.258345 | 0.018081 | 0 | 0 | 0 | 0 | 0.078947 | 1 | 0.078947 | false | 0.013158 | 0.052632 | 0.065789 | 0.210526 | 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 |
85eb93c822a019fc750d57de9e82b6de5c0352f3 | 790 | py | Python | scripts/solved/031_TRAN.py | akikuno/rosalind | 7015dc63e493d870e5789e99f2ee523a9b1f5ab9 | [
"MIT"
] | null | null | null | scripts/solved/031_TRAN.py | akikuno/rosalind | 7015dc63e493d870e5789e99f2ee523a9b1f5ab9 | [
"MIT"
] | null | null | null | scripts/solved/031_TRAN.py | akikuno/rosalind | 7015dc63e493d870e5789e99f2ee523a9b1f5ab9 | [
"MIT"
] | null | null | null | # https://rosalind.info/problems/tran/
file = "data/tran.txt"
def read_fasta(file: str):
"""
Args
file: path of fasta file
"""
with open(file) as f:
fa = f.read().splitlines()
prev = True
header = []
seq = []
for f in fa:
if ">" in f:
header.append(f[1:... | 16.458333 | 43 | 0.501266 | 104 | 790 | 3.778846 | 0.509615 | 0.068702 | 0.066158 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.031683 | 0.360759 | 790 | 47 | 44 | 16.808511 | 0.746535 | 0.08481 | 0 | 0.129032 | 0 | 0 | 0.047009 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032258 | false | 0 | 0.032258 | 0 | 0.096774 | 0.032258 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85ef49b97d17705c81cdeeb0ece8add9c7768f1d | 6,718 | py | Python | extract_data_1.1.py | stanlee321/bolivia_power | 4c86be2be8b81fead5ba9f1d50f32233cd54c1fc | [
"MIT"
] | null | null | null | extract_data_1.1.py | stanlee321/bolivia_power | 4c86be2be8b81fead5ba9f1d50f32233cd54c1fc | [
"MIT"
] | null | null | null | extract_data_1.1.py | stanlee321/bolivia_power | 4c86be2be8b81fead5ba9f1d50f32233cd54c1fc | [
"MIT"
] | null | null | null |
# Code for extract the information from the web
# with the <id> information into the bolivia_power_1.csv file
# input: bolivia_power_1.id.csv
# output 6x.npy array file:
# <nodes_ids.lat,lon> <node.tags>
# <way.ids> <way.ref> <way.tags>
# ...
# v. 1.1
#import pandas as pd
import numpy as np... | 28.108787 | 124 | 0.539744 | 854 | 6,718 | 4.094848 | 0.181499 | 0.033457 | 0.036031 | 0.034315 | 0.556763 | 0.49471 | 0.457535 | 0.406634 | 0.368316 | 0.356305 | 0 | 0.010872 | 0.246949 | 6,718 | 239 | 125 | 28.108787 | 0.680372 | 0.084102 | 0 | 0.153846 | 0 | 0 | 0.190332 | 0.04139 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025641 | false | 0.025641 | 0.064103 | 0 | 0.089744 | 0.25641 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85f402a990563be3704e3ce90f8e5fbc80ebcb6e | 526 | py | Python | Practice/Problem Solving/MaximizingXOR.py | avantikasharma/HackerRank-Solutions | a980859ac352688853fcbcf3c7ec6d95685f99ea | [
"MIT"
] | 1 | 2018-07-08T15:44:15.000Z | 2018-07-08T15:44:15.000Z | Practice/Problem Solving/MaximizingXOR.py | avantikasharma/HackerRank-Solutions | a980859ac352688853fcbcf3c7ec6d95685f99ea | [
"MIT"
] | null | null | null | Practice/Problem Solving/MaximizingXOR.py | avantikasharma/HackerRank-Solutions | a980859ac352688853fcbcf3c7ec6d95685f99ea | [
"MIT"
] | 2 | 2018-08-10T06:49:34.000Z | 2020-10-01T04:50:59.000Z | #!/bin/python3
import math
import os
import random
import re
import sys
# Complete the maximizingXor function below.
def maximizingXor(l, r):
result = []
for num1 in range(l,r+1):
for num2 in range(l,r+1):
xor = num1^num2
result.append(xor)
return max(result)
i... | 17.533333 | 47 | 0.58365 | 72 | 526 | 4.138889 | 0.583333 | 0.026846 | 0.100671 | 0.060403 | 0.067114 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01847 | 0.279468 | 526 | 29 | 48 | 18.137931 | 0.76781 | 0.106464 | 0 | 0 | 0 | 0 | 0.047009 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.263158 | 0 | 0.368421 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85f686d400d73419843a0643d08f81afb4fe05ef | 4,417 | py | Python | interface_report_interactive.py | hpreston/network_info_scripts | b25076eb6f55a7f7335f6cae1a4c3c00ce9aa191 | [
"MIT"
] | 20 | 2019-05-11T03:08:52.000Z | 2022-01-13T13:44:22.000Z | interface_report_interactive.py | hpreston/network_info_scripts | b25076eb6f55a7f7335f6cae1a4c3c00ce9aa191 | [
"MIT"
] | 4 | 2020-02-26T23:25:59.000Z | 2021-12-13T19:59:01.000Z | interface_report_interactive.py | hpreston/network_info_scripts | b25076eb6f55a7f7335f6cae1a4c3c00ce9aa191 | [
"MIT"
] | 8 | 2019-05-20T02:27:40.000Z | 2021-07-07T18:49:45.000Z | #! /usr/bin/env python
"""Exploring Genie's ability to gather details and write to CSV
This script is meant to be run line by line interactively in a Python
interpretor (such as iPython) to learn how the Genie and csv libraries work.
This script assumes you have a virl simulation running and a testbed file
created.
... | 33.462121 | 88 | 0.713607 | 664 | 4,417 | 4.725904 | 0.406627 | 0.031867 | 0.008923 | 0.020076 | 0.110261 | 0.110261 | 0.053537 | 0.037604 | 0.037604 | 0 | 0 | 0.005153 | 0.209192 | 4,417 | 131 | 89 | 33.717557 | 0.893215 | 0.66561 | 0 | 0.292683 | 0 | 0 | 0.162369 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.073171 | 0 | 0.073171 | 0.121951 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85f74ccca3d8f227ec09283215d9c1ace1b61121 | 1,159 | py | Python | app/priu.py | robhaswell/powerstrip-restrict-image-user | d6a5dbb19330f1ee5b384095c1010636af12120d | [
"Apache-2.0"
] | null | null | null | app/priu.py | robhaswell/powerstrip-restrict-image-user | d6a5dbb19330f1ee5b384095c1010636af12120d | [
"Apache-2.0"
] | null | null | null | app/priu.py | robhaswell/powerstrip-restrict-image-user | d6a5dbb19330f1ee5b384095c1010636af12120d | [
"Apache-2.0"
] | null | null | null | import os, sys
import json as _json
from flask import Flask, Response, request
app = Flask(__name__)
app.debug = True
import lib
@app.route("/", methods=["HEAD", "GET", "POST", "DELETE", "PUT"])
def adapter():
json = request.get_data()
decoded = _json.loads(json)
docker_json = _json.loads(decoded['Clien... | 26.340909 | 88 | 0.637619 | 143 | 1,159 | 5 | 0.552448 | 0.111888 | 0.067133 | 0.055944 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007675 | 0.213115 | 1,159 | 43 | 89 | 26.953488 | 0.776316 | 0 | 0 | 0 | 0 | 0 | 0.311475 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029412 | false | 0 | 0.117647 | 0 | 0.205882 | 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 |
85f7c87317fb94af50f148e6f619929fe75f47af | 1,316 | py | Python | app/gather/api/serializers.py | eHealthAfrica/gather | 88d96009c5f9832b564d13fa66d63841a7fbcd90 | [
"Apache-2.0"
] | 2 | 2019-09-25T18:37:30.000Z | 2019-09-25T18:37:39.000Z | app/gather/api/serializers.py | eHealthAfrica/gather | 88d96009c5f9832b564d13fa66d63841a7fbcd90 | [
"Apache-2.0"
] | 41 | 2015-07-29T14:10:05.000Z | 2021-09-13T07:07:41.000Z | app/gather/api/serializers.py | eHealthAfrica/gather | 88d96009c5f9832b564d13fa66d63841a7fbcd90 | [
"Apache-2.0"
] | 2 | 2019-11-12T23:09:35.000Z | 2020-03-11T16:39:35.000Z | # Copyright (C) 2019 by eHealth Africa : http://www.eHealthAfrica.org
#
# See the NOTICE file distributed with this work for additional information
# regarding copyright ownership.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with
# the License. Y... | 28 | 75 | 0.729483 | 159 | 1,316 | 5.981132 | 0.616352 | 0.063091 | 0.02734 | 0.033649 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007547 | 0.194529 | 1,316 | 46 | 76 | 28.608696 | 0.889623 | 0.527356 | 0 | 0.210526 | 0 | 0 | 0.033113 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.105263 | 0 | 0.421053 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85fd9ccfe64a572bc3232cd253f5cd2894061049 | 1,514 | py | Python | src/utils/jupyter_setup.py | paxtonedgar/MisInfo | 81b32fa3e7d0d204feb83e10169093f45727a2ea | [
"MIT"
] | null | null | null | src/utils/jupyter_setup.py | paxtonedgar/MisInfo | 81b32fa3e7d0d204feb83e10169093f45727a2ea | [
"MIT"
] | null | null | null | src/utils/jupyter_setup.py | paxtonedgar/MisInfo | 81b32fa3e7d0d204feb83e10169093f45727a2ea | [
"MIT"
] | null | null | null | # built-in
import os
import logging
# installed
import pandas as pd
import seaborn as sns
from matplotlib import pylab
# custom
import src.settings
from src.utils.log_utils import setup_logging, LogLevel
from src.utils.config_loader import ConfigLoader, Config
def setup_jupyter(
root_dir: str, config_path: s... | 26.103448 | 75 | 0.664465 | 191 | 1,514 | 5.13089 | 0.439791 | 0.061224 | 0.02449 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019426 | 0.217966 | 1,514 | 57 | 76 | 26.561404 | 0.808277 | 0.225892 | 0 | 0 | 0 | 0 | 0.157003 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027778 | false | 0 | 0.222222 | 0 | 0.277778 | 0.055556 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85fdbccdde41392a6f2e6723a8450dd58d4c3c85 | 3,169 | py | Python | EclipseOJ/contests/models.py | cs251-eclipse/eclipseOJ | ad93bf65014e87051278026f87b6b92afdaed349 | [
"MIT"
] | null | null | null | EclipseOJ/contests/models.py | cs251-eclipse/eclipseOJ | ad93bf65014e87051278026f87b6b92afdaed349 | [
"MIT"
] | null | null | null | EclipseOJ/contests/models.py | cs251-eclipse/eclipseOJ | ad93bf65014e87051278026f87b6b92afdaed349 | [
"MIT"
] | 1 | 2020-06-06T21:05:09.000Z | 2020-06-06T21:05:09.000Z | from django.db import models
from django.contrib.auth.models import User
from core.models import Profile
from array import *
from datetime import datetime
from django.utils import timezone
class Contest(models.Model):
"""
Contests models are used to store save contests as object. Contests contain problems, use... | 39.123457 | 270 | 0.688545 | 431 | 3,169 | 5 | 0.303944 | 0.055684 | 0.044548 | 0.051972 | 0.444548 | 0.373086 | 0.302552 | 0.302552 | 0.302552 | 0.143852 | 0 | 0.002082 | 0.242032 | 3,169 | 80 | 271 | 39.6125 | 0.895087 | 0.081098 | 0 | 0.15493 | 0 | 0.056338 | 0.426588 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028169 | false | 0 | 0.084507 | 0.028169 | 0.380282 | 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 |
85ff76b7f34f9abc8f910e03a1576bfe726a0de5 | 7,602 | py | Python | mistletoe/renderers/base.py | executablebooks/mistletoe-ebp | 229812436726fd9b1af85c6e66ff8c81b415758d | [
"MIT"
] | 2 | 2020-05-19T02:06:47.000Z | 2020-06-27T10:01:59.000Z | mistletoe/renderers/base.py | executablebooks/mistletoe-ebp | 229812436726fd9b1af85c6e66ff8c81b415758d | [
"MIT"
] | 5 | 2020-03-10T22:43:16.000Z | 2020-03-21T22:09:09.000Z | mistletoe/renderers/base.py | ExecutableBookProject/mistletoe-ebp | 229812436726fd9b1af85c6e66ff8c81b415758d | [
"MIT"
] | null | null | null | """
Base class for renderers.
"""
from itertools import chain
import re
import sys
from typing import Optional
from mistletoe import block_tokens, block_tokens_ext, span_tokens, span_tokens_ext
from mistletoe.parse_context import ParseContext, set_parse_context
class BaseRenderer:
"""
Base class for rendere... | 34.089686 | 83 | 0.64654 | 874 | 7,602 | 5.366133 | 0.296339 | 0.076759 | 0.022175 | 0.009595 | 0.056077 | 0.056077 | 0.018337 | 0.018337 | 0 | 0 | 0 | 0.00018 | 0.270981 | 7,602 | 222 | 84 | 34.243243 | 0.846084 | 0.349776 | 0 | 0.018868 | 0 | 0 | 0.079561 | 0.006499 | 0 | 0 | 0 | 0 | 0 | 1 | 0.132075 | false | 0.009434 | 0.056604 | 0 | 0.320755 | 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 |
85ff94648db8e42f7e087780f32ca9e870cb3118 | 2,123 | py | Python | deep-scratch/steps/step50.py | jayChung0302/myml | 6575706aec707186037607e49342f77cde34ff52 | [
"MIT"
] | null | null | null | deep-scratch/steps/step50.py | jayChung0302/myml | 6575706aec707186037607e49342f77cde34ff52 | [
"MIT"
] | null | null | null | deep-scratch/steps/step50.py | jayChung0302/myml | 6575706aec707186037607e49342f77cde34ff52 | [
"MIT"
] | null | null | null | if '__file__' in globals():
import os, sys
sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
import math
import numpy as np
import matplotlib.pyplot as plt
import dezero
from dezero import optimizers
import dezero.functions as F
import dezero.datasets as datasets
from dezero.models import MLP
from ... | 25.890244 | 93 | 0.621291 | 338 | 2,123 | 3.724852 | 0.272189 | 0.03336 | 0.025417 | 0.030977 | 0.305004 | 0.249404 | 0.166799 | 0.166799 | 0.166799 | 0.166799 | 0 | 0.027278 | 0.240226 | 2,123 | 81 | 94 | 26.209877 | 0.753255 | 0 | 0 | 0.238806 | 0 | 0.029851 | 0.084354 | 0.06032 | 0 | 0 | 0 | 0 | 0 | 1 | 0.044776 | false | 0 | 0.149254 | 0.014925 | 0.238806 | 0.119403 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c804be87c5478ddfa9fadf38397429243edc770e | 4,363 | py | Python | play.py | cp1r8/metadungeon | e68a35c815d60bccb883436fde782868bff7f81f | [
"CC0-1.0"
] | null | null | null | play.py | cp1r8/metadungeon | e68a35c815d60bccb883436fde782868bff7f81f | [
"CC0-1.0"
] | null | null | null | play.py | cp1r8/metadungeon | e68a35c815d60bccb883436fde782868bff7f81f | [
"CC0-1.0"
] | null | null | null | #!/usr/bin/env python3
from game import World
from game.creatures import Humanoid, Unit
from game.creatures.adventurers import Adventurer, Party
from game.objects.containers import Container
from game.places.underground import Dungeon
from game.dice import d4
from pathlib import Path
import pickle
import sys
import u... | 28.89404 | 98 | 0.544579 | 501 | 4,363 | 4.662675 | 0.283433 | 0.050942 | 0.061644 | 0.035959 | 0.259418 | 0.146404 | 0.146404 | 0.064212 | 0.064212 | 0.064212 | 0 | 0.010712 | 0.336695 | 4,363 | 150 | 99 | 29.086667 | 0.796475 | 0.037589 | 0 | 0.280374 | 0 | 0 | 0.099451 | 0.03959 | 0 | 0 | 0 | 0.006667 | 0 | 1 | 0 | false | 0 | 0.093458 | 0 | 0.093458 | 0.242991 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c80624c4bad650eb5277c12ff9ddd20884d61424 | 590 | py | Python | freeze.py | eudemonia-research/hec | e65df8e4584746dcb2785327cfcffac10a66c689 | [
"MIT"
] | 2 | 2015-11-05T16:24:31.000Z | 2022-02-05T19:01:58.000Z | freeze.py | eudemonia-research/hec | e65df8e4584746dcb2785327cfcffac10a66c689 | [
"MIT"
] | null | null | null | freeze.py | eudemonia-research/hec | e65df8e4584746dcb2785327cfcffac10a66c689 | [
"MIT"
] | null | null | null | from cx_Freeze import setup, Executable
import requests.certs
# Dependencies are automatically detected, but it might need
# fine tuning.
buildOptions = dict(packages = [], excludes = [], include_msvcr=True,
include_files=[(requests.certs.where(),'cacert.pem')])
import sys
base = 'Win32GUI' if sys.... | 29.5 | 74 | 0.676271 | 68 | 590 | 5.808824 | 0.735294 | 0.065823 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012579 | 0.191525 | 590 | 19 | 75 | 31.052632 | 0.815514 | 0.120339 | 0 | 0 | 0 | 0 | 0.112403 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.214286 | 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 |
c806d8b85faac4749d3297eee869e84a9a44277c | 2,742 | py | Python | Elasticsearch/elasticsearchconnector.py | krajai/testt | 3aaf5fd7fe85e712c8c1615852b50f9ccb6737e5 | [
"BSD-3-Clause"
] | 1,114 | 2020-09-28T07:32:23.000Z | 2022-03-31T22:35:50.000Z | Elasticsearch/elasticsearchconnector.py | krajai/testt | 3aaf5fd7fe85e712c8c1615852b50f9ccb6737e5 | [
"BSD-3-Clause"
] | 298 | 2020-10-29T09:39:17.000Z | 2022-03-31T15:24:44.000Z | Elasticsearch/elasticsearchconnector.py | krajai/testt | 3aaf5fd7fe85e712c8c1615852b50f9ccb6737e5 | [
"BSD-3-Clause"
] | 153 | 2020-09-29T06:07:39.000Z | 2022-03-31T17:41:16.000Z | # Import elasticsearch module
from elasticsearch import Elasticsearch,ImproperlyConfigured,TransportError
import json
class ElasticsearchConnector:
def __init__(self,credobject=None):
"""
Description:
Accepts elasticsearch connection parameters and connects to elasticsearch cloud
"""
#Parameter chec... | 35.153846 | 119 | 0.73523 | 345 | 2,742 | 5.791304 | 0.284058 | 0.052553 | 0.024024 | 0.028028 | 0.256757 | 0.183183 | 0.183183 | 0.183183 | 0.183183 | 0.15015 | 0 | 0.000434 | 0.160102 | 2,742 | 78 | 120 | 35.153846 | 0.86713 | 0.076951 | 0 | 0.278689 | 0 | 0 | 0.287293 | 0 | 0 | 0 | 0 | 0 | 0.032787 | 1 | 0.065574 | false | 0.032787 | 0.032787 | 0 | 0.196721 | 0.213115 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c8093b0fe4419003974199d64ec5c9a63aa70c9e | 4,434 | py | Python | pyvino_utils/models/recognition/gaze_estimation.py | venky4121994/openvinoface | a620138b94f865fb19e6165abde2237c85ca8764 | [
"MIT"
] | 4 | 2020-08-31T17:19:57.000Z | 2020-10-03T13:59:10.000Z | pyvino_utils/models/recognition/gaze_estimation.py | B0N0AI/pyvino_utils | 0d42741eb446b038eae2917b621d9c1ffbc42452 | [
"MIT"
] | 2 | 2020-09-13T08:04:36.000Z | 2020-09-13T08:04:58.000Z | pyvino_utils/models/recognition/gaze_estimation.py | mmphego/pyvino_utils | 0d42741eb446b038eae2917b621d9c1ffbc42452 | [
"MIT"
] | null | null | null | import time
import cv2
import numpy as np
from ..openvino_base.base_model import Base
class GazeEstimation(Base):
"""Class for the Gaze Estimation Recognition Model."""
def __init__(
self,
model_name,
source_width=None,
source_height=None,
device="CPU",
thres... | 32.844444 | 86 | 0.554804 | 519 | 4,434 | 4.447013 | 0.267823 | 0.039428 | 0.036395 | 0.02253 | 0.221837 | 0.174177 | 0.136915 | 0.098787 | 0.07539 | 0.034662 | 0 | 0.025718 | 0.324763 | 4,434 | 134 | 87 | 33.089552 | 0.745157 | 0.105774 | 0 | 0.196262 | 0 | 0 | 0.058257 | 0 | 0.009346 | 0 | 0 | 0.007463 | 0 | 1 | 0.056075 | false | 0 | 0.037383 | 0 | 0.130841 | 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 |
c8095fa9e80674ff147ce29f4d9409ee896f3519 | 1,982 | py | Python | src/testing/task_plot_share_of_educ_participants_with_rapid_test.py | covid-19-impact-lab/sid-germany | aef4bbfb326adaf9190c6d8880e15b3d6f150d28 | [
"MIT"
] | 4 | 2021-04-24T14:43:47.000Z | 2021-07-03T14:05:21.000Z | src/testing/task_plot_share_of_educ_participants_with_rapid_test.py | covid-19-impact-lab/sid-germany | aef4bbfb326adaf9190c6d8880e15b3d6f150d28 | [
"MIT"
] | 4 | 2021-04-27T10:34:45.000Z | 2021-08-31T16:40:28.000Z | src/testing/task_plot_share_of_educ_participants_with_rapid_test.py | covid-19-impact-lab/sid-germany | aef4bbfb326adaf9190c6d8880e15b3d6f150d28 | [
"MIT"
] | null | null | null | import warnings
import matplotlib.pyplot as plt
import pandas as pd
import pytask
import seaborn as sns
from src.config import BLD
from src.config import PLOT_END_DATE
from src.config import PLOT_SIZE
from src.config import PLOT_START_DATE
from src.config import SRC
from src.plotting.plotting import style_plot
from s... | 30.492308 | 85 | 0.712916 | 260 | 1,982 | 5.146154 | 0.342308 | 0.036622 | 0.04858 | 0.071001 | 0.210762 | 0.139013 | 0.09417 | 0 | 0 | 0 | 0 | 0 | 0.19223 | 1,982 | 64 | 86 | 30.96875 | 0.835728 | 0 | 0 | 0.071429 | 0 | 0 | 0.189707 | 0.023209 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017857 | false | 0 | 0.214286 | 0 | 0.232143 | 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 |
c80966397626d332b933ed9036f4e46b5c441750 | 734 | py | Python | app/models/brand.py | ertyurk/bugme | 5a3ef3e089e0089055074c1c896c3fdc76600e93 | [
"MIT"
] | null | null | null | app/models/brand.py | ertyurk/bugme | 5a3ef3e089e0089055074c1c896c3fdc76600e93 | [
"MIT"
] | null | null | null | app/models/brand.py | ertyurk/bugme | 5a3ef3e089e0089055074c1c896c3fdc76600e93 | [
"MIT"
] | null | null | null | from typing import Optional
from pydantic import BaseModel, Field
class BrandModel(BaseModel):
brand: str = Field(...)
auth_key: Optional[str]
user_id: str = Field(...)
class Config:
allow_population_by_field_name = True
schema_extra = {
"example": {
"brand... | 22.9375 | 54 | 0.553134 | 67 | 734 | 5.880597 | 0.432836 | 0.111675 | 0.076142 | 0.091371 | 0.467005 | 0.467005 | 0.345178 | 0.345178 | 0.345178 | 0.345178 | 0 | 0.070539 | 0.343324 | 734 | 31 | 55 | 23.677419 | 0.746888 | 0 | 0 | 0.48 | 0 | 0 | 0.163488 | 0.065395 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.08 | 0 | 0.48 | 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 |
c80c247892056d339d30163cadca271c880389d5 | 443 | py | Python | flaskapp/app.py | Chetan-Gahane/Detection-Of-Phishing-Websites | 327c6bbd4fe77d465e290466f26a387760103ad7 | [
"MIT"
] | null | null | null | flaskapp/app.py | Chetan-Gahane/Detection-Of-Phishing-Websites | 327c6bbd4fe77d465e290466f26a387760103ad7 | [
"MIT"
] | null | null | null | flaskapp/app.py | Chetan-Gahane/Detection-Of-Phishing-Websites | 327c6bbd4fe77d465e290466f26a387760103ad7 | [
"MIT"
] | null | null | null |
from flask import Flask
from flask import Flask, flash, redirect, render_template, request, session, abort
import os
import newtrain
app = Flask(__name__)
@app.route('/')
def home(x):
return x
@app.route('/login', methods=['POST'])
def do_admin_login():
url_new=request.form['username']
x=newtrai... | 20.136364 | 82 | 0.683973 | 64 | 443 | 4.453125 | 0.578125 | 0.063158 | 0.105263 | 0.140351 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005495 | 0.17833 | 443 | 22 | 83 | 20.136364 | 0.777473 | 0 | 0 | 0 | 0 | 0 | 0.060948 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.25 | 0.0625 | 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 |
c8100632cb345df1cb4918dfaf696ed8e91b2f92 | 8,607 | py | Python | training/anticausal_classifier_train.py | SANCHES-Pedro/Diff-SCM | a7e7e6ed3a2cd1c21e3bf7a3ed8ed8b29a22cb69 | [
"Apache-2.0"
] | 6 | 2022-02-22T05:07:05.000Z | 2022-03-29T09:48:03.000Z | training/anticausal_classifier_train.py | SANCHES-Pedro/Diff-SCM | a7e7e6ed3a2cd1c21e3bf7a3ed8ed8b29a22cb69 | [
"Apache-2.0"
] | null | null | null | training/anticausal_classifier_train.py | SANCHES-Pedro/Diff-SCM | a7e7e6ed3a2cd1c21e3bf7a3ed8ed8b29a22cb69 | [
"Apache-2.0"
] | 2 | 2022-02-20T08:45:54.000Z | 2022-03-09T09:51:13.000Z | """
Train a noised image classifier on ImageNet.
"""
import os
import blobfile as bf
import torch as th
import torch.distributed as dist
import torch.nn.functional as F
from torch.nn.parallel.distributed import DistributedDataParallel as DDP
from torch.optim import AdamW
import torch
from pathlib import Path
import s... | 38.084071 | 121 | 0.668526 | 1,111 | 8,607 | 4.937894 | 0.227723 | 0.084579 | 0.104995 | 0.032811 | 0.233139 | 0.155669 | 0.100073 | 0.072913 | 0.060518 | 0.048487 | 0 | 0.006595 | 0.224817 | 8,607 | 225 | 122 | 38.253333 | 0.815647 | 0.036947 | 0 | 0.093168 | 0 | 0 | 0.071656 | 0.013028 | 0 | 0 | 0 | 0 | 0.006211 | 1 | 0.049689 | false | 0 | 0.10559 | 0 | 0.180124 | 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 |
c81323b7eda0896694f1dbe20031469d75f77fed | 3,015 | py | Python | pythonclient/karmen/karmen.py | jrcichra/karmen | 4d25d635509ebffa295b085ae7fa3932e3a36344 | [
"MIT"
] | 3 | 2020-03-02T13:09:07.000Z | 2021-12-27T16:27:23.000Z | pythonclient/karmen/karmen.py | jrcichra/karmen | 4d25d635509ebffa295b085ae7fa3932e3a36344 | [
"MIT"
] | 5 | 2020-03-02T04:53:54.000Z | 2021-12-17T23:57:12.000Z | pythonclient/karmen/karmen.py | jrcichra/karmen | 4d25d635509ebffa295b085ae7fa3932e3a36344 | [
"MIT"
] | null | null | null | #!/usr/bin/python3 -u
import threading
import time
import queue
import socket
import grpc
import karmen.karmen_pb2 as pb
import karmen.karmen_pb2_grpc as pb_grpc
class Karmen:
def __init__(self, name=socket.gethostname(), hostname="localhost", port=8080):
super().__init__()
self.name = name
... | 30.15 | 83 | 0.60995 | 355 | 3,015 | 5.095775 | 0.309859 | 0.039801 | 0.023217 | 0.041459 | 0.126036 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00592 | 0.271642 | 3,015 | 99 | 84 | 30.454545 | 0.817851 | 0.071973 | 0 | 0 | 0 | 0 | 0.088594 | 0.032999 | 0 | 0 | 0 | 0 | 0 | 1 | 0.161765 | false | 0.014706 | 0.102941 | 0.014706 | 0.352941 | 0.088235 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c817b460ee65b13241ef6e94463df88bf762261b | 765 | py | Python | legacy/legacy/recommenders/visual_gmf.py | csmithchicago/openrec | 5a9cf03abe0db0636107985f9f19d6351e4afe68 | [
"MIT"
] | null | null | null | legacy/legacy/recommenders/visual_gmf.py | csmithchicago/openrec | 5a9cf03abe0db0636107985f9f19d6351e4afe68 | [
"MIT"
] | 6 | 2020-01-28T22:51:16.000Z | 2022-02-10T00:11:19.000Z | legacy/legacy/recommenders/visual_gmf.py | csmithchicago/openrec | 5a9cf03abe0db0636107985f9f19d6351e4afe68 | [
"MIT"
] | null | null | null | from openrec.legacy.recommenders import VisualPMF
from openrec.legacy.modules.interactions import PointwiseGeCE
class VisualGMF(VisualPMF):
def _build_default_interactions(self, train=True):
self._add_module(
"interaction",
PointwiseGeCE(
user=self._get_module("use... | 34.772727 | 86 | 0.589542 | 81 | 765 | 5.283951 | 0.419753 | 0.140187 | 0.091122 | 0.140187 | 0.179907 | 0.130841 | 0.130841 | 0 | 0 | 0 | 0 | 0.009346 | 0.300654 | 765 | 21 | 87 | 36.428571 | 0.790654 | 0 | 0 | 0.111111 | 0 | 0 | 0.071895 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.111111 | 0 | 0.222222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c818c2c94bfac62e873d6b6ae455389a5b8e8196 | 732 | py | Python | tests/test_tag.py | danielwe/explore-courses-api | e08d219b154e7fdb16690e4cd02aa239366f6747 | [
"MIT"
] | 7 | 2019-06-17T07:45:54.000Z | 2022-01-31T01:09:22.000Z | tests/test_tag.py | illiteratecoder/Explore-Courses-API | b2dc41092882e4b2b7945609e4e85b8ac1702bc7 | [
"MIT"
] | null | null | null | tests/test_tag.py | illiteratecoder/Explore-Courses-API | b2dc41092882e4b2b7945609e4e85b8ac1702bc7 | [
"MIT"
] | 1 | 2021-11-14T22:23:59.000Z | 2021-11-14T22:23:59.000Z | from xml.etree import ElementTree as ET
from explorecourses import *
class TestTag(object):
@classmethod
def setup_class(cls):
text_tag = (
'<tag>'
'<organization>EARTHSYS</organization>'
'<name>energy_foundation</name>'
'</tag>'
)
cls.... | 20.914286 | 56 | 0.592896 | 84 | 732 | 4.97619 | 0.369048 | 0.057416 | 0.07177 | 0.100478 | 0.200957 | 0.200957 | 0.200957 | 0.138756 | 0 | 0 | 0 | 0 | 0.296448 | 732 | 34 | 57 | 21.529412 | 0.81165 | 0 | 0 | 0.136364 | 0 | 0 | 0.177596 | 0.128415 | 0 | 0 | 0 | 0 | 0.181818 | 1 | 0.181818 | false | 0 | 0.090909 | 0 | 0.318182 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c81a08103667814c6eb2d1d517a2b39db440ed7f | 458 | py | Python | SScriptCompiler/examples/thresholdcounter/states/init_s.py | alklasil/SScript | de4481bf96e79b9ee157e266ea9fe8b1bfb3701e | [
"MIT"
] | null | null | null | SScriptCompiler/examples/thresholdcounter/states/init_s.py | alklasil/SScript | de4481bf96e79b9ee157e266ea9fe8b1bfb3701e | [
"MIT"
] | 8 | 2018-03-10T19:20:43.000Z | 2018-04-30T18:11:17.000Z | SScriptCompiler/examples/thresholdcounter/states/init_s.py | alklasil/SScript | de4481bf96e79b9ee157e266ea9fe8b1bfb3701e | [
"MIT"
] | null | null | null | def init_s(data):
return ("init", [
[
# set configuration time
"$getTime", "configuration_millis",
# set state initially below lower threshold
"$=(const)=", "state", "@<t",
"$printInt_ln", data['sensorIdentifier'],
# set requestString... | 26.941176 | 55 | 0.5 | 30 | 458 | 7.5 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.373362 | 458 | 16 | 56 | 28.625 | 0.783972 | 0.19869 | 0 | 0.181818 | 0 | 0 | 0.374656 | 0.15978 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0 | 0.090909 | 0.181818 | 0.090909 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |