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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9ba44cd9d91cc8c729aafc0cddc794fc2187f3f9 | 25,015 | py | Python | lizardanalysis/calculations/aep_pep_test.py | JojoReikun/ClimbingLizardDLCAnalysis | 6cc38090217a3ffd4860ef6d06ba7967d3c10b7c | [
"MIT"
] | 1 | 2021-03-09T19:12:44.000Z | 2021-03-09T19:12:44.000Z | lizardanalysis/calculations/aep_pep_test.py | JojoReikun/ClimbingLizardDLCAnalysis | 6cc38090217a3ffd4860ef6d06ba7967d3c10b7c | [
"MIT"
] | null | null | null | lizardanalysis/calculations/aep_pep_test.py | JojoReikun/ClimbingLizardDLCAnalysis | 6cc38090217a3ffd4860ef6d06ba7967d3c10b7c | [
"MIT"
] | null | null | null | def aep_pep_test(**kwargs):
"""
Calculates two different things:
1.) The x and y coordinates of the AEP and PEP, relative to the coxa of a respective leg
2.) The swing phases and the stance phases, identifying on a frame by frame basis
Return: results data frame with 30 key value pairs:
x6 all... | 49.534653 | 136 | 0.625625 | 3,469 | 25,015 | 4.327472 | 0.163159 | 0.025313 | 0.013056 | 0.013589 | 0.355582 | 0.298428 | 0.252864 | 0.210631 | 0.17526 | 0.161338 | 0 | 0.011959 | 0.267959 | 25,015 | 504 | 137 | 49.632937 | 0.807831 | 0.318729 | 0 | 0.229323 | 0 | 0 | 0.092941 | 0.021352 | 0 | 0 | 0 | 0.003968 | 0 | 1 | 0.026316 | false | 0.041353 | 0.078947 | 0.003759 | 0.12782 | 0.003759 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9ba99aa02744fe90eebce52ab7ecf4ce0854c775 | 1,367 | py | Python | Medium/918. Maximum Sum Circular Subarray/solution (1).py | czs108/LeetCode-Solutions | 889f5b6a573769ad077a6283c058ed925d52c9ec | [
"MIT"
] | 3 | 2020-05-09T12:55:09.000Z | 2022-03-11T18:56:05.000Z | Medium/918. Maximum Sum Circular Subarray/solution (1).py | czs108/LeetCode-Solutions | 889f5b6a573769ad077a6283c058ed925d52c9ec | [
"MIT"
] | null | null | null | Medium/918. Maximum Sum Circular Subarray/solution (1).py | czs108/LeetCode-Solutions | 889f5b6a573769ad077a6283c058ed925d52c9ec | [
"MIT"
] | 1 | 2022-03-11T18:56:16.000Z | 2022-03-11T18:56:16.000Z | # 918. Maximum Sum Circular Subarray
# Runtime: 1028 ms, faster than 5.09% of Python3 online submissions for Maximum Sum Circular Subarray.
# Memory Usage: 18.6 MB, less than 33.98% of Python3 online submissions for Maximum Sum Circular Subarray.
import math
class Solution:
def maxSubarraySumCircular(self, num... | 35.973684 | 106 | 0.567666 | 199 | 1,367 | 3.683417 | 0.266332 | 0.098226 | 0.081855 | 0.106412 | 0.3397 | 0.298772 | 0.236016 | 0.210096 | 0.210096 | 0.060027 | 0 | 0.036677 | 0.321873 | 1,367 | 38 | 107 | 35.973684 | 0.754045 | 0.175567 | 0 | 0.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12 | false | 0 | 0.04 | 0 | 0.32 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9ba9d75f770e59ab5f8bd4c1745fa1e171a92981 | 10,644 | py | Python | testing.py | gustxsr/learning-with-assemblies | 4158829adf4500a9ae868ca7c64ffef90753c66b | [
"MIT"
] | null | null | null | testing.py | gustxsr/learning-with-assemblies | 4158829adf4500a9ae868ca7c64ffef90753c66b | [
"MIT"
] | null | null | null | testing.py | gustxsr/learning-with-assemblies | 4158829adf4500a9ae868ca7c64ffef90753c66b | [
"MIT"
] | null | null | null |
import numpy as np
import matplotlib.pyplot as plt
from scipy.signal import convolve
from matplotlib.gridspec import GridSpec
import matplotlib as mpl
rng = np.random.default_rng()
def k_cap(input, cap_size):
"""
Given a vector input it returns the highest cap_size
entries from cap_zie
... | 37.087108 | 217 | 0.613209 | 1,541 | 10,644 | 4.079169 | 0.162881 | 0.031817 | 0.043907 | 0.015272 | 0.312281 | 0.288419 | 0.221444 | 0.200127 | 0.165447 | 0.156857 | 0 | 0.018678 | 0.280722 | 10,644 | 286 | 218 | 37.216783 | 0.802377 | 0.24643 | 0 | 0.12987 | 0 | 0 | 0.011966 | 0.007313 | 0 | 0 | 0 | 0 | 0 | 1 | 0.097403 | false | 0 | 0.032468 | 0 | 0.194805 | 0.025974 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9bab281692147103f4b861c83d053ce8c6a1c16f | 4,398 | py | Python | src/chatstats.py | brendancsmith/cohort-facebook | a7b37d14b7152349930bc10f69cb72446d6c3581 | [
"MIT"
] | null | null | null | src/chatstats.py | brendancsmith/cohort-facebook | a7b37d14b7152349930bc10f69cb72446d6c3581 | [
"MIT"
] | null | null | null | src/chatstats.py | brendancsmith/cohort-facebook | a7b37d14b7152349930bc10f69cb72446d6c3581 | [
"MIT"
] | null | null | null | from collections import Counter, defaultdict
from datetime import datetime
from statistics import mean
from dateutil.parser import parse as parse_datetime
from dateutil import rrule
def num_comments_by_user(comments):
commenters = (comment['from']['name'] for comment in comments)
counter = Counter(commenters... | 29.918367 | 91 | 0.648931 | 463 | 4,398 | 6.023758 | 0.226782 | 0.03227 | 0.038724 | 0.064539 | 0.260308 | 0.236285 | 0.199355 | 0.199355 | 0.199355 | 0.15848 | 0 | 0.001237 | 0.264666 | 4,398 | 146 | 92 | 30.123288 | 0.861163 | 0.013643 | 0 | 0.268041 | 0 | 0 | 0.028598 | 0 | 0 | 0 | 0 | 0.006849 | 0 | 1 | 0.092784 | false | 0 | 0.051546 | 0 | 0.237113 | 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 |
9bae71f7a1d534c3b03ab7c28df3edc847994f0b | 2,125 | py | Python | utils/lsms/compositional_histogram_cutoff.py | allaffa/HydraGNN | b48f75cd3fe1b0d03bae9af3e6bdc2bb29f8b9c6 | [
"BSD-3-Clause"
] | 1 | 2022-01-30T16:50:51.000Z | 2022-01-30T16:50:51.000Z | utils/lsms/compositional_histogram_cutoff.py | allaffa/HydraGNN | b48f75cd3fe1b0d03bae9af3e6bdc2bb29f8b9c6 | [
"BSD-3-Clause"
] | 1 | 2022-02-03T11:45:53.000Z | 2022-02-09T17:59:37.000Z | utils/lsms/compositional_histogram_cutoff.py | kshitij-v-mehta/HydraGNN | d27958270b2beb35f98e4403239e3c5c77ad4a04 | [
"BSD-3-Clause"
] | null | null | null | import os
import shutil
import numpy as np
from tqdm import tqdm
import matplotlib.pyplot as plt
def find_bin(comp, nbins):
bins = np.linspace(0, 1, nbins)
for bi in range(len(bins) - 1):
if comp > bins[bi] and comp < bins[bi + 1]:
return bi
return nbins - 1
def compositional_histogr... | 27.960526 | 91 | 0.610353 | 289 | 2,125 | 4.346021 | 0.363322 | 0.071656 | 0.017516 | 0.019108 | 0.028662 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011251 | 0.288941 | 2,125 | 75 | 92 | 28.333333 | 0.819987 | 0.091294 | 0 | 0 | 0 | 0 | 0.066353 | 0.028736 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035714 | false | 0 | 0.089286 | 0 | 0.178571 | 0.017857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9bb0067ad50b3ebfd94976cc78cce86faed75925 | 1,256 | py | Python | PointMatcher/actions/export.py | daisatojp/PointMatcher | 927bd4dd676b18da763ccaab2f429f27de281710 | [
"MIT"
] | 2 | 2021-01-05T03:42:50.000Z | 2022-03-16T07:17:02.000Z | PointMatcher/actions/export.py | daisatojp/PointMatcher | 927bd4dd676b18da763ccaab2f429f27de281710 | [
"MIT"
] | 4 | 2021-01-07T06:28:01.000Z | 2021-01-18T11:59:56.000Z | PointMatcher/actions/export.py | daisatojp/PointMatcher | 927bd4dd676b18da763ccaab2f429f27de281710 | [
"MIT"
] | null | null | null | import os.path as osp
from PyQt5.QtGui import QIcon
from PyQt5.QtWidgets import QAction
from PyQt5.QtWidgets import QFileDialog
from PointMatcher.utils.filesystem import icon_path
class ExportAction(QAction):
def __init__(self, parent):
super(ExportAction, self).__init__('Export', parent)
self.p ... | 35.885714 | 75 | 0.642516 | 149 | 1,256 | 5.342282 | 0.442953 | 0.069095 | 0.048995 | 0.060302 | 0.065327 | 0.065327 | 0.065327 | 0.065327 | 0 | 0 | 0 | 0.004242 | 0.249204 | 1,256 | 34 | 76 | 36.941176 | 0.839873 | 0 | 0 | 0 | 0 | 0 | 0.071656 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068966 | false | 0 | 0.172414 | 0 | 0.275862 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9bb514fb57dd5b2a6965770909c4eb7274835dca | 3,453 | py | Python | secistsploit/modules/auxiliary/whatweb.py | reneaicisneros/SecistSploit | b4e1bb0a213bee39c3bb79ab36e03e19122b80c0 | [
"MIT"
] | 15 | 2018-12-06T16:03:32.000Z | 2021-06-23T01:17:00.000Z | secistsploit/modules/auxiliary/whatweb.py | reneaicisneros/SecistSploit | b4e1bb0a213bee39c3bb79ab36e03e19122b80c0 | [
"MIT"
] | null | null | null | secistsploit/modules/auxiliary/whatweb.py | reneaicisneros/SecistSploit | b4e1bb0a213bee39c3bb79ab36e03e19122b80c0 | [
"MIT"
] | 6 | 2019-03-01T04:10:00.000Z | 2020-02-26T08:43:54.000Z | # -*- coding: UTF-8 -*-
import os
from secistsploit.core.exploit import *
from secistsploit.core.http.http_client import HTTPClient
class Exploit(HTTPClient):
__info__ = {
"name": "whatweb",
"description": "whatweb",
"authors": (
"jjiushi",
),
"references": (
... | 34.188119 | 141 | 0.435274 | 316 | 3,453 | 4.708861 | 0.35443 | 0.020161 | 0.032258 | 0.046371 | 0.561828 | 0.538978 | 0.538978 | 0.538978 | 0.479839 | 0.479839 | 0 | 0.059175 | 0.417608 | 3,453 | 100 | 142 | 34.53 | 0.680756 | 0.006082 | 0 | 0.444444 | 0 | 0.033333 | 0.254811 | 0.013411 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022222 | false | 0 | 0.044444 | 0 | 0.144444 | 0.088889 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9bb942cefeb3547baf593097bb2c4998d052f1b8 | 3,285 | py | Python | pygnss/__init__.py | nmerlene/pygnss | 9dc59e57cf5a4bdf0ca56c2b6a23d622ffda4c5a | [
"MIT"
] | null | null | null | pygnss/__init__.py | nmerlene/pygnss | 9dc59e57cf5a4bdf0ca56c2b6a23d622ffda4c5a | [
"MIT"
] | null | null | null | pygnss/__init__.py | nmerlene/pygnss | 9dc59e57cf5a4bdf0ca56c2b6a23d622ffda4c5a | [
"MIT"
] | null | null | null | from pathlib import Path
import logging
import xarray
from time import time
from typing import Union
#
from .io import opener
from .rinex2 import rinexnav2, _scan2
from .rinex3 import rinexnav3, _scan3
# for NetCDF compression. too high slows down with little space savings.
COMPLVL = 1
def readrinex(rinexfn: Path, o... | 28.318966 | 120 | 0.595129 | 449 | 3,285 | 4.329621 | 0.302895 | 0.018519 | 0.010802 | 0.030864 | 0.388889 | 0.375514 | 0.350823 | 0.290123 | 0.220165 | 0.175926 | 0 | 0.010879 | 0.272451 | 3,285 | 115 | 121 | 28.565217 | 0.80251 | 0.094977 | 0 | 0.4125 | 0 | 0 | 0.116541 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.1 | 0 | 0.25 | 0.0375 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9bb96ea949af7533581d8e4cca76f381e779a9b0 | 5,201 | py | Python | classroom/pref_graph.py | norabelrose/whisper | 79642bab696f3e166b6af61a447602e8e5d58270 | [
"MIT"
] | null | null | null | classroom/pref_graph.py | norabelrose/whisper | 79642bab696f3e166b6af61a447602e8e5d58270 | [
"MIT"
] | null | null | null | classroom/pref_graph.py | norabelrose/whisper | 79642bab696f3e166b6af61a447602e8e5d58270 | [
"MIT"
] | null | null | null | from typing import TYPE_CHECKING
import networkx as nx
from .fas import eades_fas
if TYPE_CHECKING: # Prevent circular import
from .pref_dag import PrefDAG
class PrefGraph(nx.DiGraph):
"""
`PrefGraph` represents a possibly cyclic set of preferences over clips as a weighted directed graph.
Edge weigh... | 42.284553 | 104 | 0.635455 | 715 | 5,201 | 4.513287 | 0.283916 | 0.006817 | 0.012395 | 0.013945 | 0.206384 | 0.159281 | 0.111559 | 0.076852 | 0.056399 | 0.056399 | 0 | 0.007368 | 0.269371 | 5,201 | 122 | 105 | 42.631148 | 0.841842 | 0.344357 | 0 | 0.232877 | 0 | 0 | 0.077065 | 0.010132 | 0 | 0 | 0 | 0 | 0 | 1 | 0.164384 | false | 0.013699 | 0.068493 | 0 | 0.383562 | 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 |
9bbcdfbd01a5563f9c4786b31c8c24dcfa3b565b | 683 | py | Python | hisitter/reviews/permissions.py | babysitter-finder/backend | 5c37c6876ca13b5794ac44e0342b810426acbc76 | [
"MIT"
] | 1 | 2021-02-25T01:02:40.000Z | 2021-02-25T01:02:40.000Z | hisitter/reviews/permissions.py | babysitter-finder/backend | 5c37c6876ca13b5794ac44e0342b810426acbc76 | [
"MIT"
] | null | null | null | hisitter/reviews/permissions.py | babysitter-finder/backend | 5c37c6876ca13b5794ac44e0342b810426acbc76 | [
"MIT"
] | 1 | 2020-11-23T20:57:47.000Z | 2020-11-23T20:57:47.000Z | """ Reviews permissions."""
# Python
import logging
# Django Rest Framework
from rest_framework.permissions import BasePermission
class IsServiceOwner(BasePermission):
""" This permission allow determine if the user
is a client, if not permission is denied.
"""
def has_permission(self, request,... | 28.458333 | 75 | 0.628111 | 79 | 683 | 5.379747 | 0.594937 | 0.061176 | 0.042353 | 0.051765 | 0.084706 | 0.084706 | 0 | 0 | 0 | 0 | 0 | 0 | 0.297218 | 683 | 23 | 76 | 29.695652 | 0.885417 | 0.2694 | 0 | 0 | 0 | 0 | 0.098925 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.166667 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9bbd9c4b8b498fde19563e3848c89d37d52b9838 | 1,678 | py | Python | pk.py | CnybTseng/SOSNet | 9f1e96380388dde75fe0737ec0b3516669054205 | [
"MIT"
] | null | null | null | pk.py | CnybTseng/SOSNet | 9f1e96380388dde75fe0737ec0b3516669054205 | [
"MIT"
] | null | null | null | pk.py | CnybTseng/SOSNet | 9f1e96380388dde75fe0737ec0b3516669054205 | [
"MIT"
] | null | null | null | import sys
import torch
import timeit
sys.path.append('../JDE')
from mot.models.backbones import ShuffleNetV2
from sosnet import SOSNet
if __name__ == '__main__':
print('SOSNet PK ShuffleNetV2')
model1 = ShuffleNetV2(
stage_repeat={'stage2': 4, 'stage3': 8, 'stage4': 4},
stage_out_ch... | 37.288889 | 85 | 0.567342 | 198 | 1,678 | 4.671717 | 0.409091 | 0.071351 | 0.077838 | 0.048649 | 0.372973 | 0.372973 | 0.372973 | 0.372973 | 0.372973 | 0.372973 | 0 | 0.056106 | 0.277712 | 1,678 | 45 | 86 | 37.288889 | 0.707096 | 0 | 0 | 0.363636 | 0 | 0 | 0.159021 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.113636 | 0 | 0.113636 | 0.136364 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9bbda2f39a11084b661e8fe58491f418c2a36b6f | 2,255 | py | Python | test/generate_netmhcpan_functions.py | til-unc/mhcgnomes | 0bfbe193daeb7cd38d958222f6071dd657e9fb6e | [
"Apache-2.0"
] | 6 | 2020-10-27T15:31:32.000Z | 2020-11-29T03:26:06.000Z | test/generate_netmhcpan_functions.py | til-unc/mhcgnomes | 0bfbe193daeb7cd38d958222f6071dd657e9fb6e | [
"Apache-2.0"
] | 4 | 2020-10-27T14:57:16.000Z | 2020-11-04T21:56:39.000Z | test/generate_netmhcpan_functions.py | pirl-unc/mhcgnomes | 0bfbe193daeb7cd38d958222f6071dd657e9fb6e | [
"Apache-2.0"
] | null | null | null | import pandas as pd
NETMHCPAN_3_0_DEST = "test_netmhcpan_3_0_alleles.py"
NETMHCPAN_3_0_SOURCE = "netmhcpan_3_0_alleles.txt"
NETMHCPAN_4_0_DEST = "test_netmhcpan_4_0_alleles.py"
NETMHCPAN_4_0_SOURCE = "netmhcpan_4_0_alleles.txt"
special_chars = " *:-,/."
def generate(src, dst, exclude=set()):
alleles = set()
... | 35.234375 | 107 | 0.501552 | 247 | 2,255 | 4.267206 | 0.291498 | 0.094877 | 0.083491 | 0.068311 | 0.098672 | 0.047438 | 0.047438 | 0 | 0 | 0 | 0 | 0.021122 | 0.391131 | 2,255 | 63 | 108 | 35.793651 | 0.74654 | 0 | 0 | 0.122449 | 0 | 0 | 0.281846 | 0.07945 | 0 | 0 | 0 | 0 | 0.040816 | 1 | 0.020408 | false | 0 | 0.040816 | 0 | 0.081633 | 0.040816 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9bbf5d23053e93f4be3618d38f8307dfe71dd5b9 | 2,156 | py | Python | 美团爬取商家信息/paquxinxi.py | 13060923171/Crawl-Project2 | effab1bf31979635756fc272a7bcc666bb499be2 | [
"MIT"
] | 14 | 2020-10-27T05:52:20.000Z | 2021-11-07T20:24:55.000Z | 美团爬取商家信息/paquxinxi.py | 13060923171/Crawl-Project2 | effab1bf31979635756fc272a7bcc666bb499be2 | [
"MIT"
] | 1 | 2021-09-17T07:40:00.000Z | 2021-09-17T07:40:00.000Z | 美团爬取商家信息/paquxinxi.py | 13060923171/Crawl-Project2 | effab1bf31979635756fc272a7bcc666bb499be2 | [
"MIT"
] | 8 | 2020-11-18T14:23:12.000Z | 2021-11-12T08:55:08.000Z | import requests
import re
import json
headers = {
"Origin": "https://bj.meituan.com",
"Host": "apimobile.meituan.com",
"Referer": "https://bj.meituan.com/s/%E7%81%AB%E9%94%85/",
"Cookie": "uuid=692a53319ce54d0c91f3.1597223761.1.0.0; ci=1; rvct=1; _lxsdk_cuid=173e1f47707c8-0dcd4ff30b4ae3-3323765-e1000-1... | 33.169231 | 185 | 0.590909 | 299 | 2,156 | 4.197324 | 0.474916 | 0.035857 | 0.01992 | 0.023904 | 0.105976 | 0.100398 | 0 | 0 | 0 | 0 | 0 | 0.103819 | 0.222635 | 2,156 | 65 | 186 | 33.169231 | 0.644988 | 0.042672 | 0 | 0 | 0 | 0.074074 | 0.337543 | 0.084021 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0.018519 | 0.055556 | 0 | 0.111111 | 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 |
32cada166139a42c2081b8a48a2bcd39a15cb5ab | 2,612 | py | Python | create_categories.py | Botomatik/JackBot | 58651d8b5a5bcead2a2eb79849019cb4f972b7cd | [
"MIT"
] | null | null | null | create_categories.py | Botomatik/JackBot | 58651d8b5a5bcead2a2eb79849019cb4f972b7cd | [
"MIT"
] | null | null | null | create_categories.py | Botomatik/JackBot | 58651d8b5a5bcead2a2eb79849019cb4f972b7cd | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Program to batch create categories.
The program expects a generator containing a list of page titles to be used as
base.
The following command line parameters are supported:
-always (not implemented yet) Don't ask, just do the edit.
-overwrite (not implemented yet).
-parent... | 25.359223 | 78 | 0.630551 | 305 | 2,612 | 5.357377 | 0.459016 | 0.03672 | 0.029376 | 0.033048 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005644 | 0.253828 | 2,612 | 102 | 79 | 25.607843 | 0.832735 | 0.326187 | 0 | 0.058824 | 0 | 0 | 0.106605 | 0 | 0 | 0 | 0 | 0.009804 | 0 | 1 | 0.039216 | false | 0 | 0.176471 | 0 | 0.215686 | 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 |
32cae26d8eb99a201dc12930e81a1edb58d4cace | 10,287 | py | Python | avod/core/losses.py | Zengyi-Qin/TLNet | 11fa48160158b550ad2dc810ed564eebe17e8f5e | [
"Apache-2.0"
] | 114 | 2019-03-13T01:42:22.000Z | 2022-03-31T07:56:04.000Z | avod/core/losses.py | Zengyi-Qin/TLNet | 11fa48160158b550ad2dc810ed564eebe17e8f5e | [
"Apache-2.0"
] | 12 | 2019-03-26T08:18:13.000Z | 2021-05-19T14:36:27.000Z | avod/core/losses.py | Zengyi-Qin/TLNet | 11fa48160158b550ad2dc810ed564eebe17e8f5e | [
"Apache-2.0"
] | 22 | 2019-03-22T10:44:49.000Z | 2021-04-01T00:11:07.000Z | """Classification and regression loss functions for object detection.
Localization losses:
* WeightedL2LocalizationLoss
* WeightedSmoothL1LocalizationLoss
Classification losses:
* WeightedSoftmaxClassificationLoss
* WeightedSigmoidClassificationLoss
"""
from abc import ABCMeta
from abc import abstractmethod
impo... | 44.150215 | 129 | 0.636726 | 1,247 | 10,287 | 5.026464 | 0.159583 | 0.053606 | 0.035099 | 0.03127 | 0.654595 | 0.591417 | 0.577377 | 0.558392 | 0.524729 | 0.515156 | 0 | 0.013124 | 0.28152 | 10,287 | 232 | 130 | 44.340517 | 0.834934 | 0.448722 | 0 | 0.22619 | 0 | 0 | 0.000803 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0.011905 | 0.047619 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
32cd6811a8df581555a9e17bfebdb7625e6646ac | 19,282 | py | Python | routing/views.py | iqqmuT/tsari | 343ef5cf08ee24bdb710e94c0b6fb334264e5677 | [
"MIT"
] | null | null | null | routing/views.py | iqqmuT/tsari | 343ef5cf08ee24bdb710e94c0b6fb334264e5677 | [
"MIT"
] | 2 | 2020-02-11T22:09:10.000Z | 2020-06-05T18:02:28.000Z | routing/views.py | iqqmuT/tsari | 343ef5cf08ee24bdb710e94c0b6fb334264e5677 | [
"MIT"
] | null | null | null | import json
from datetime import datetime, timedelta
from dateutil import parser as dateparser
from django.contrib.auth.decorators import user_passes_test
from django.db.models import Q
from django.http import HttpResponseNotFound, JsonResponse
from django.shortcuts import render
from django.utils import timezone
fro... | 36.041121 | 256 | 0.587283 | 2,311 | 19,282 | 4.635223 | 0.10688 | 0.041449 | 0.01587 | 0.011202 | 0.428305 | 0.352595 | 0.289955 | 0.233383 | 0.190721 | 0.155246 | 0 | 0.009713 | 0.295198 | 19,282 | 534 | 257 | 36.108614 | 0.778514 | 0.151281 | 0 | 0.240106 | 0 | 0 | 0.087877 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055409 | false | 0.005277 | 0.026385 | 0 | 0.150396 | 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 |
32cf5c6af409ad539e05135e062b11460576c4f6 | 5,575 | py | Python | my_ner.py | shouxieai/nlp-bilstm_crf-ner | 907381325eeb0a2c29004e1c617bea7312579ba8 | [
"Apache-2.0"
] | 16 | 2021-12-14T10:51:25.000Z | 2022-03-30T10:10:09.000Z | my_ner.py | shouxieai/nlp-bilstm-ner | 907381325eeb0a2c29004e1c617bea7312579ba8 | [
"Apache-2.0"
] | 1 | 2022-03-23T04:28:50.000Z | 2022-03-23T04:28:50.000Z | my_ner.py | shouxieai/nlp-bilstm-ner | 907381325eeb0a2c29004e1c617bea7312579ba8 | [
"Apache-2.0"
] | 2 | 2021-12-08T02:48:01.000Z | 2021-12-13T13:03:25.000Z | import os
from torch.utils.data import Dataset,DataLoader
import torch
import torch.nn as nn
from sklearn.metrics import f1_score
def build_corpus(split, make_vocab=True, data_dir="data"):
"""读取数据"""
assert split in ['train', 'dev', 'test']
word_lists = []
tag_lists = []
with open(os.path.join(dat... | 32.794118 | 130 | 0.63139 | 794 | 5,575 | 4.142317 | 0.201511 | 0.036485 | 0.033445 | 0.015202 | 0.209182 | 0.148373 | 0.09395 | 0.09395 | 0.067498 | 0.043174 | 0 | 0.013932 | 0.253274 | 5,575 | 169 | 131 | 32.988166 | 0.776123 | 0.010404 | 0 | 0.055118 | 0 | 0 | 0.019056 | 0 | 0 | 0 | 0 | 0 | 0.015748 | 1 | 0.062992 | false | 0 | 0.03937 | 0 | 0.173228 | 0.007874 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
32cfbeee160a6e50ceb471701c99ace872cbfe2b | 362 | py | Python | leetcode/409.py | windniw/just-for-fun | 54e5c2be145f3848811bfd127f6a89545e921570 | [
"Apache-2.0"
] | 1 | 2019-08-28T23:15:25.000Z | 2019-08-28T23:15:25.000Z | leetcode/409.py | windniw/just-for-fun | 54e5c2be145f3848811bfd127f6a89545e921570 | [
"Apache-2.0"
] | null | null | null | leetcode/409.py | windniw/just-for-fun | 54e5c2be145f3848811bfd127f6a89545e921570 | [
"Apache-2.0"
] | null | null | null |
"""
link: https://leetcode.com/problems/longest-palindrome
problem: 问用s中字符组成的最长回文串长度
solution: map 记录字符出现次数
"""
class Solution:
def longestPalindrome(self, s: str) -> int:
m, res = collections.defaultdict(int), 0
for x in s:
m[x] += 1
for x in m:
res += m[x] // 2... | 18.1 | 54 | 0.558011 | 48 | 362 | 4.208333 | 0.666667 | 0.039604 | 0.059406 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01992 | 0.30663 | 362 | 19 | 55 | 19.052632 | 0.784861 | 0.290055 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0 | 0 | 0.375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
32cfc631e8d4a50ff93f3a9a349602c8342fb97a | 847 | py | Python | nickenbot/config.py | brlafreniere/nickenbot | f13ec78057ec25823eb16df6ffab3a32eddfd3ca | [
"MIT"
] | 1 | 2016-08-10T12:20:58.000Z | 2016-08-10T12:20:58.000Z | nickenbot/config.py | brlafreniere/nickenbot | f13ec78057ec25823eb16df6ffab3a32eddfd3ca | [
"MIT"
] | null | null | null | nickenbot/config.py | brlafreniere/nickenbot | f13ec78057ec25823eb16df6ffab3a32eddfd3ca | [
"MIT"
] | null | null | null | import yaml
import os
import sys
current_dir = os.path.dirname(os.path.realpath(__file__))
project_dir = os.path.realpath(os.path.join(current_dir, ".."))
class ConfigManager:
network = None
config = None
@classmethod
def load(clss):
if clss.network:
config_filepath = os.path.join... | 27.322581 | 95 | 0.615112 | 106 | 847 | 4.764151 | 0.358491 | 0.071287 | 0.059406 | 0.079208 | 0.158416 | 0.158416 | 0.158416 | 0.158416 | 0 | 0 | 0 | 0.001621 | 0.271547 | 847 | 30 | 96 | 28.233333 | 0.816856 | 0 | 0 | 0.16 | 0 | 0 | 0.088548 | 0.024793 | 0 | 0 | 0 | 0 | 0 | 1 | 0.08 | false | 0 | 0.12 | 0 | 0.36 | 0.04 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
32d046c8c2ed3ece0b08aa280a40083f8b7d16ab | 2,277 | py | Python | qna/views.py | channprj/KU-PL | 7fc3719b612a819ed1bd443695d7f13f509ee596 | [
"MIT"
] | null | null | null | qna/views.py | channprj/KU-PL | 7fc3719b612a819ed1bd443695d7f13f509ee596 | [
"MIT"
] | null | null | null | qna/views.py | channprj/KU-PL | 7fc3719b612a819ed1bd443695d7f13f509ee596 | [
"MIT"
] | null | null | null | from django.shortcuts import render
from django.shortcuts import redirect
from django.shortcuts import get_object_or_404
from django.utils import timezone
from .forms import QuestionForm
from .forms import AnswerForm
from .models import Question
from .models import Answer
def question_list(request):
questions = Qu... | 35.030769 | 101 | 0.665349 | 272 | 2,277 | 5.4375 | 0.194853 | 0.047329 | 0.02975 | 0.037863 | 0.592292 | 0.53144 | 0.515213 | 0.515213 | 0.46856 | 0.46856 | 0 | 0.00678 | 0.222661 | 2,277 | 64 | 102 | 35.578125 | 0.828814 | 0 | 0 | 0.462963 | 0 | 0 | 0.104569 | 0.080844 | 0 | 0 | 0 | 0 | 0 | 1 | 0.092593 | false | 0 | 0.148148 | 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 |
32d33f3c862ddf8043ee8ce09e1a526264e7c51a | 1,648 | py | Python | python/tests/test_oci.py | miku/labe | 2d784f418e24ab6fef9f76791c9fdd02dd505657 | [
"MIT"
] | null | null | null | python/tests/test_oci.py | miku/labe | 2d784f418e24ab6fef9f76791c9fdd02dd505657 | [
"MIT"
] | null | null | null | python/tests/test_oci.py | miku/labe | 2d784f418e24ab6fef9f76791c9fdd02dd505657 | [
"MIT"
] | 1 | 2021-09-16T10:51:00.000Z | 2021-09-16T10:51:00.000Z | """
Unit tests for labe. Most not mocked yet, hence slow.
"""
import collections
import socket
import pytest
import requests
from labe.oci import get_figshare_download_link, get_terminal_url
def no_internet(host="8.8.8.8", port=53, timeout=3):
"""
Host: 8.8.8.8 (google-public-dns-a.google.com)
OpenPort... | 30.518519 | 88 | 0.662621 | 221 | 1,648 | 4.809955 | 0.434389 | 0.011289 | 0.065851 | 0.064911 | 0.374412 | 0.312324 | 0.263405 | 0.169332 | 0.169332 | 0.097836 | 0 | 0.062126 | 0.18932 | 1,648 | 53 | 89 | 31.09434 | 0.733533 | 0.086772 | 0 | 0.171429 | 0 | 0 | 0.303256 | 0 | 0 | 0 | 0 | 0 | 0.114286 | 1 | 0.085714 | false | 0 | 0.142857 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
32d559b8ce0d7d1c7f26302620ef00f9255a82dc | 26,404 | py | Python | pyNastran/bdf/cards/test/test_dynamic.py | ACea15/pyNastran | 5ffc37d784b52c882ea207f832bceb6b5eb0e6d4 | [
"BSD-3-Clause"
] | 293 | 2015-03-22T20:22:01.000Z | 2022-03-14T20:28:24.000Z | pyNastran/bdf/cards/test/test_dynamic.py | ACea15/pyNastran | 5ffc37d784b52c882ea207f832bceb6b5eb0e6d4 | [
"BSD-3-Clause"
] | 512 | 2015-03-14T18:39:27.000Z | 2022-03-31T16:15:43.000Z | pyNastran/bdf/cards/test/test_dynamic.py | ACea15/pyNastran | 5ffc37d784b52c882ea207f832bceb6b5eb0e6d4 | [
"BSD-3-Clause"
] | 136 | 2015-03-19T03:26:06.000Z | 2022-03-25T22:14:54.000Z | """tests dynamic cards and dynamic load cards"""
import unittest
from io import StringIO
import numpy as np
import pyNastran
from pyNastran.bdf.bdf import BDF, read_bdf, CrossReferenceError
from pyNastran.bdf.cards.test.utils import save_load_deck
#ROOT_PATH = pyNastran.__path__[0]
class TestDynamic(unittest.TestCas... | 34.069677 | 97 | 0.549879 | 3,542 | 26,404 | 3.966403 | 0.121683 | 0.042708 | 0.028685 | 0.028828 | 0.581821 | 0.549434 | 0.52623 | 0.473486 | 0.451491 | 0.419105 | 0 | 0.068243 | 0.325708 | 26,404 | 774 | 98 | 34.113695 | 0.720849 | 0.15581 | 0 | 0.532491 | 0 | 0.00722 | 0.067482 | 0 | 0 | 0 | 0 | 0 | 0.030686 | 1 | 0.028881 | false | 0 | 0.01083 | 0 | 0.041516 | 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 |
32d6f22794e1af28d1b004461271504fb7680002 | 4,691 | py | Python | src/kv/benchmark/runbench.py | showapicxt/iowow | a29ac5b28f1b6c2817061c2a43b7222176458876 | [
"MIT"
] | 242 | 2015-08-13T06:38:10.000Z | 2022-03-17T13:49:56.000Z | src/kv/benchmark/runbench.py | showapicxt/iowow | a29ac5b28f1b6c2817061c2a43b7222176458876 | [
"MIT"
] | 44 | 2018-04-08T07:12:02.000Z | 2022-03-04T06:15:01.000Z | src/kv/benchmark/runbench.py | showapicxt/iowow | a29ac5b28f1b6c2817061c2a43b7222176458876 | [
"MIT"
] | 18 | 2016-01-14T09:50:34.000Z | 2022-01-26T23:07:40.000Z | import subprocess
import argparse
import os
import random
from collections import OrderedDict
from parse import parse
from bokeh.io import export_png
from bokeh.plotting import figure, output_file, show, save
from bokeh.models import ColumnDataSource, FactorRange
from bokeh.transform import factor_cmap
from bokeh.layou... | 31.273333 | 99 | 0.568322 | 610 | 4,691 | 4.293443 | 0.337705 | 0.020619 | 0.011455 | 0.017182 | 0.148148 | 0.113784 | 0.092402 | 0.07942 | 0.030546 | 0.030546 | 0 | 0.050723 | 0.277126 | 4,691 | 149 | 100 | 31.483221 | 0.721616 | 0.005756 | 0 | 0.080645 | 0 | 0 | 0.118833 | 0.027885 | 0 | 0 | 0 | 0 | 0 | 1 | 0.040323 | false | 0 | 0.096774 | 0 | 0.137097 | 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 |
32db89f97cc25f33ad056f8860c98d1fafd8baab | 2,652 | py | Python | chapt05/triangle.py | ohlogic/PythonOpenGLSuperBible4Glut | a0d01caaeb811002c191c28210268b5fcbb8b379 | [
"MIT"
] | null | null | null | chapt05/triangle.py | ohlogic/PythonOpenGLSuperBible4Glut | a0d01caaeb811002c191c28210268b5fcbb8b379 | [
"MIT"
] | null | null | null | chapt05/triangle.py | ohlogic/PythonOpenGLSuperBible4Glut | a0d01caaeb811002c191c28210268b5fcbb8b379 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# Demonstrates OpenGL color triangle
# Ben Smith
# benjamin.coder.smith@gmail.com
#
# based heavily on ccube.cpp
# OpenGL SuperBible
# Program by Richard S. Wright Jr.
import math
from OpenGL.GL import *
from OpenGL.GLUT import *
from OpenGL.GLU import *
ESCAPE = b'\033'
xRot... | 21.737705 | 83 | 0.562217 | 294 | 2,652 | 5.003401 | 0.530612 | 0.024473 | 0.014276 | 0.008158 | 0.054385 | 0.025833 | 0.025833 | 0 | 0 | 0 | 0 | 0.062245 | 0.35181 | 2,652 | 121 | 84 | 21.917355 | 0.793485 | 0.286199 | 0 | 0 | 0 | 0 | 0.013857 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.083333 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
32e2062c20d3f7d54552e963b99e3b7f219ffa2e | 19,175 | py | Python | ScreenTrainer.py | ZihaoChen0319/CMB-Segmentation | 99c5788baacc280ca5dbe02f3e18403e399fb238 | [
"Apache-2.0"
] | null | null | null | ScreenTrainer.py | ZihaoChen0319/CMB-Segmentation | 99c5788baacc280ca5dbe02f3e18403e399fb238 | [
"Apache-2.0"
] | null | null | null | ScreenTrainer.py | ZihaoChen0319/CMB-Segmentation | 99c5788baacc280ca5dbe02f3e18403e399fb238 | [
"Apache-2.0"
] | null | null | null | import torch.nn as nn
import os
import torch.optim as optim
from tqdm import tqdm
import numpy as np
import torch
import torch.nn.functional as nnf
import SimpleITK as sitk
import json
from scipy import ndimage
import medpy.io as mio
from Utils import find_binary_object
from MyDataloader import get_train_... | 50.460526 | 140 | 0.557445 | 2,672 | 19,175 | 3.783308 | 0.129117 | 0.034623 | 0.027698 | 0.014245 | 0.354536 | 0.28994 | 0.238204 | 0.210703 | 0.195865 | 0.176674 | 0 | 0.026951 | 0.313064 | 19,175 | 379 | 141 | 50.593668 | 0.74051 | 0.042451 | 0 | 0.13125 | 0 | 0.003125 | 0.059674 | 0.022831 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025 | false | 0 | 0.05 | 0 | 0.09375 | 0.021875 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
32e36a60281e09d72c79ad1807ea74035aa73e60 | 534 | py | Python | examples/earthquakes/main.py | admariner/beneath | a6aa2c220e4a646be792379528ae673f4bef440b | [
"MIT"
] | 65 | 2021-04-27T13:13:09.000Z | 2022-01-24T00:26:06.000Z | examples/earthquakes/main.py | admariner/beneath | a6aa2c220e4a646be792379528ae673f4bef440b | [
"MIT"
] | 22 | 2021-10-06T10:30:40.000Z | 2021-12-10T11:36:55.000Z | examples/earthquakes/main.py | admariner/beneath | a6aa2c220e4a646be792379528ae673f4bef440b | [
"MIT"
] | 4 | 2021-04-24T15:29:51.000Z | 2022-03-30T16:20:12.000Z | import beneath
from generators import earthquakes
with open("schemas/earthquake.graphql", "r") as file:
EARTHQUAKES_SCHEMA = file.read()
if __name__ == "__main__":
p = beneath.Pipeline(parse_args=True)
p.description = "Continually pings the USGS earthquake API"
earthquakes = p.generate(earthquakes.ge... | 28.105263 | 76 | 0.700375 | 59 | 534 | 6.118644 | 0.59322 | 0.141274 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.196629 | 534 | 18 | 77 | 29.666667 | 0.841492 | 0 | 0 | 0 | 0 | 0 | 0.262172 | 0.048689 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.133333 | 0 | 0.133333 | 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 |
32e3ce811bff9ec736c02ce8188ebe9e69d6a483 | 5,073 | py | Python | examples/tf_vision/tensorflow_saved_model_service.py | siddharthgee/multi-model-server | bd795b402330b491edd5d2a235b8b8c2ef9fcb58 | [
"Apache-2.0"
] | null | null | null | examples/tf_vision/tensorflow_saved_model_service.py | siddharthgee/multi-model-server | bd795b402330b491edd5d2a235b8b8c2ef9fcb58 | [
"Apache-2.0"
] | null | null | null | examples/tf_vision/tensorflow_saved_model_service.py | siddharthgee/multi-model-server | bd795b402330b491edd5d2a235b8b8c2ef9fcb58 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 Amazon.com, Inc. or its affiliates. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 (the "License").
# You may not use this file except in compliance with the License.
# A copy of the License is located at
# http://www.apache.org/licenses/LICENSE-2.0
# or in the "license" file... | 38.431818 | 118 | 0.640647 | 623 | 5,073 | 5.070626 | 0.317817 | 0.037037 | 0.026591 | 0.030073 | 0.120924 | 0.071225 | 0.045584 | 0.045584 | 0.020893 | 0 | 0 | 0.00487 | 0.271437 | 5,073 | 131 | 119 | 38.725191 | 0.849838 | 0.342795 | 0 | 0 | 0 | 0 | 0.147666 | 0 | 0 | 0 | 0 | 0 | 0.080645 | 1 | 0.080645 | false | 0 | 0.064516 | 0.016129 | 0.209677 | 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 |
32e861d95e4d1e621303b5ebac3624de50614805 | 4,007 | py | Python | mazegen/solver.py | alekratz/mazegen | 2799a5cf790cec4bab94a147315cc8541c5efec7 | [
"MIT"
] | null | null | null | mazegen/solver.py | alekratz/mazegen | 2799a5cf790cec4bab94a147315cc8541c5efec7 | [
"MIT"
] | null | null | null | mazegen/solver.py | alekratz/mazegen | 2799a5cf790cec4bab94a147315cc8541c5efec7 | [
"MIT"
] | null | null | null | import random
from typing import Optional
from .grid import *
class Solver:
def __init__(self, grid: Grid):
self._grid = grid
self._backtrack = []
self._pos = (0, 0)
self._dir = None
self._backtracking = False
self._branches = {
self._pos: set(self.vali... | 32.056 | 96 | 0.520839 | 486 | 4,007 | 4.183128 | 0.236626 | 0.072307 | 0.078701 | 0.084112 | 0.201181 | 0.134776 | 0.117068 | 0.117068 | 0.117068 | 0.117068 | 0 | 0.01218 | 0.385326 | 4,007 | 124 | 97 | 32.314516 | 0.813236 | 0.143499 | 0 | 0.28866 | 0 | 0 | 0.013549 | 0 | 0 | 0 | 0 | 0.008065 | 0.041237 | 1 | 0.103093 | false | 0 | 0.030928 | 0.051546 | 0.237113 | 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 |
32ea368fa5ba2732d1c51618d8edfc516b6eb773 | 1,224 | py | Python | example/RunModel/Abaqus_Model_Example/process_odb.py | volpatto/UQpy | acbe1d6e655e98917f56b324f019881ea9ccca82 | [
"MIT"
] | null | null | null | example/RunModel/Abaqus_Model_Example/process_odb.py | volpatto/UQpy | acbe1d6e655e98917f56b324f019881ea9ccca82 | [
"MIT"
] | null | null | null | example/RunModel/Abaqus_Model_Example/process_odb.py | volpatto/UQpy | acbe1d6e655e98917f56b324f019881ea9ccca82 | [
"MIT"
] | null | null | null | from odbAccess import *
from abaqusConstants import *
from textRepr import *
import timeit
import numpy as np
import os
import sys
start_time = timeit.default_timer()
index = sys.argv[-1]
# print(index)
# index = float(index)
index = int(index)
# print(index)
odbFile = os.path.join(os.getcwd(), "single_element_simul... | 27.818182 | 87 | 0.684641 | 190 | 1,224 | 4.326316 | 0.489474 | 0.036496 | 0.043796 | 0.029197 | 0.043796 | 0 | 0 | 0 | 0 | 0 | 0 | 0.031884 | 0.154412 | 1,224 | 43 | 88 | 28.465116 | 0.762319 | 0.081699 | 0 | 0 | 0 | 0 | 0.16458 | 0.042934 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.21875 | 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 |
32eaa0a294af2308ff208fed9c050fd370b31fec | 8,526 | py | Python | analysis_methods/shuff_time.py | gbrookshire/simulated_rhythmic_sampling | 5c9ed507847a75dbe38d10d78b54441ae83f5831 | [
"MIT"
] | null | null | null | analysis_methods/shuff_time.py | gbrookshire/simulated_rhythmic_sampling | 5c9ed507847a75dbe38d10d78b54441ae83f5831 | [
"MIT"
] | null | null | null | analysis_methods/shuff_time.py | gbrookshire/simulated_rhythmic_sampling | 5c9ed507847a75dbe38d10d78b54441ae83f5831 | [
"MIT"
] | null | null | null | """
Tools to perform analyses by shuffling in time, as in Landau & Fries (2012) and
Fiebelkorn et al. (2013).
"""
import os
import yaml
import numpy as np
import statsmodels.api as sm
from statsmodels.stats.multitest import multipletests
from .utils import avg_repeated_timepoints, dft
# Load the details of the behavi... | 29 | 79 | 0.62327 | 1,219 | 8,526 | 4.223134 | 0.231337 | 0.052448 | 0.055944 | 0.015152 | 0.286908 | 0.21115 | 0.17366 | 0.130536 | 0.101204 | 0.101204 | 0 | 0.011265 | 0.281609 | 8,526 | 293 | 80 | 29.098976 | 0.829224 | 0.555712 | 0 | 0.144578 | 0 | 0 | 0.05601 | 0.006608 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096386 | false | 0 | 0.072289 | 0 | 0.26506 | 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 |
32ef88405f3f3c3db42531c5dfa16c38dbb4d202 | 1,405 | py | Python | Easy/112.PathSum.py | YuriSpiridonov/LeetCode | 2dfcc9c71466ffa2ebc1c89e461ddfca92e2e781 | [
"MIT"
] | 39 | 2020-07-04T11:15:13.000Z | 2022-02-04T22:33:42.000Z | Easy/112.PathSum.py | YuriSpiridonov/LeetCode | 2dfcc9c71466ffa2ebc1c89e461ddfca92e2e781 | [
"MIT"
] | 1 | 2020-07-15T11:53:37.000Z | 2020-07-15T11:53:37.000Z | Easy/112.PathSum.py | YuriSpiridonov/LeetCode | 2dfcc9c71466ffa2ebc1c89e461ddfca92e2e781 | [
"MIT"
] | 20 | 2020-07-14T19:12:53.000Z | 2022-03-02T06:28:17.000Z | """
Given a binary tree and a sum, determine if the tree has a root-to-leaf path
such that adding up all the values along the path equals the given sum.
Note: A leaf is a node with no children.
Example:
Given the below binary tree and sum = 22,
5
/ \
4 8
... | 28.673469 | 84 | 0.577936 | 210 | 1,405 | 3.847619 | 0.452381 | 0.034653 | 0.059406 | 0.027228 | 0.205446 | 0.089109 | 0.089109 | 0 | 0 | 0 | 0 | 0.052239 | 0.332384 | 1,405 | 48 | 85 | 29.270833 | 0.809168 | 0.608541 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0 | 0 | 0.357143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
32f6cfa5b601a97d41e10a68ea610b54a023b9f0 | 864 | py | Python | src/test.py | ayieko168/Arduino-Oscilloscope | 5a0634437010f4303c86aef141f33cc6a628b3dc | [
"MIT"
] | null | null | null | src/test.py | ayieko168/Arduino-Oscilloscope | 5a0634437010f4303c86aef141f33cc6a628b3dc | [
"MIT"
] | null | null | null | src/test.py | ayieko168/Arduino-Oscilloscope | 5a0634437010f4303c86aef141f33cc6a628b3dc | [
"MIT"
] | null | null | null | import pyqtgraph as pg
import pyqtgraph.exporters
import numpy as np
import math
from time import sleep
f = 10
t = 0
Samples = 1000
# while True:
# y2 = np.sin( 2* np.pi * f * t)
# print(y)
# t+=0.01
# sleep(0.25)
def update():
global f, t, ys, y2
print(len(y2))
if len(y2) == Samples:
... | 16.941176 | 76 | 0.618056 | 139 | 864 | 3.769784 | 0.532374 | 0.01145 | 0.022901 | 0.030534 | 0.045802 | 0.045802 | 0.045802 | 0 | 0 | 0 | 0 | 0.058735 | 0.231481 | 864 | 51 | 77 | 16.941176 | 0.730422 | 0.157407 | 0 | 0 | 0 | 0 | 0.047288 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033333 | false | 0 | 0.2 | 0 | 0.233333 | 0.033333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
32fcb908b2dfd2baf6aec8baabfb5d1f269220d0 | 1,577 | py | Python | src/plyer_lach/platforms/android/email.py | locksmith47/turing-sim-kivy | f57de9d52494245c56f67dd7e63121434bb0553f | [
"MIT"
] | null | null | null | src/plyer_lach/platforms/android/email.py | locksmith47/turing-sim-kivy | f57de9d52494245c56f67dd7e63121434bb0553f | [
"MIT"
] | null | null | null | src/plyer_lach/platforms/android/email.py | locksmith47/turing-sim-kivy | f57de9d52494245c56f67dd7e63121434bb0553f | [
"MIT"
] | null | null | null | from jnius import autoclass, cast
from kivy.logger import Logger
from plyer_lach.facades import Email
from plyer_lach.platforms.android import activity
Intent = autoclass('android.content.Intent')
AndroidString = autoclass('java.lang.String')
URI = autoclass('android.net.Uri')
class AndroidEmail(Email):
def _send... | 36.674419 | 89 | 0.606848 | 160 | 1,577 | 5.85 | 0.3625 | 0.048077 | 0.064103 | 0.080128 | 0.07906 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.287254 | 1,577 | 42 | 90 | 37.547619 | 0.83274 | 0 | 0 | 0 | 0 | 0 | 0.126189 | 0.055168 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.111111 | 0.027778 | 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 |
fd032c799cd2f082ede61113614415437237b7bc | 40,263 | py | Python | src/eventail/async_service/pika/base.py | allo-media/eventail | aed718d733709f1a522fbfec7083ddd8ed7b5039 | [
"MIT"
] | 2 | 2019-12-12T15:08:25.000Z | 2020-05-19T08:52:06.000Z | src/eventail/async_service/pika/base.py | allo-media/eventail | aed718d733709f1a522fbfec7083ddd8ed7b5039 | [
"MIT"
] | 10 | 2021-01-19T15:03:51.000Z | 2022-03-08T15:48:22.000Z | src/eventail/async_service/pika/base.py | allo-media/eventail | aed718d733709f1a522fbfec7083ddd8ed7b5039 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# MIT License
#
# Copyright (c) 2018-2019 Groupe Allo-Media
#
# 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 r... | 39.014535 | 108 | 0.634304 | 4,882 | 40,263 | 5.082548 | 0.139697 | 0.025954 | 0.009954 | 0.008222 | 0.36771 | 0.299077 | 0.255108 | 0.224922 | 0.199694 | 0.177649 | 0 | 0.001231 | 0.293967 | 40,263 | 1,031 | 109 | 39.052376 | 0.871531 | 0.367956 | 0 | 0.327616 | 0 | 0 | 0.068712 | 0.002774 | 0 | 0 | 0 | 0 | 0 | 1 | 0.080618 | false | 0.005146 | 0.022298 | 0 | 0.132075 | 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 |
fd0394b6bd7363e7ed4aa89ca0603954bd731b42 | 889 | py | Python | CLI/mainmenue.py | MeatBoyed/PasswordBank2 | f4367b22902ce1282772b184899e3d6e899c1cca | [
"MIT"
] | 1 | 2021-02-08T17:45:28.000Z | 2021-02-08T17:45:28.000Z | CLI/mainmenue.py | MeatBoyed/PasswordBank2 | f4367b22902ce1282772b184899e3d6e899c1cca | [
"MIT"
] | null | null | null | CLI/mainmenue.py | MeatBoyed/PasswordBank2 | f4367b22902ce1282772b184899e3d6e899c1cca | [
"MIT"
] | null | null | null | from .mock_api.utils import GetSelection
from .viewAccounts import ViewAccounts
from .addAccount import AddAccount
def MainMenue():
headerMessage = (
"""\n\n=========================================================\n===================== Main Menue ========================\n""")
print(headerMessage)
... | 26.939394 | 137 | 0.418448 | 69 | 889 | 5.376812 | 0.594203 | 0.016173 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009091 | 0.257593 | 889 | 32 | 138 | 27.78125 | 0.55303 | 0 | 0 | 0 | 0 | 0 | 0.155763 | 0.088785 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0.043478 | 0.130435 | 0 | 0.173913 | 0.217391 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fd06722fb8cfe07ace7e4c46b654df0346766b26 | 4,181 | py | Python | nn_similarity_index/cwt_kernel_mat.py | forgi86/xfer | 56d98a66d6adb2466d1a73b52f3b27193930a008 | [
"Apache-2.0"
] | 244 | 2018-08-31T18:35:29.000Z | 2022-03-20T01:12:50.000Z | nn_similarity_index/cwt_kernel_mat.py | forgi86/xfer | 56d98a66d6adb2466d1a73b52f3b27193930a008 | [
"Apache-2.0"
] | 26 | 2018-08-29T15:31:21.000Z | 2021-06-24T08:05:53.000Z | nn_similarity_index/cwt_kernel_mat.py | forgi86/xfer | 56d98a66d6adb2466d1a73b52f3b27193930a008 | [
"Apache-2.0"
] | 57 | 2018-09-11T13:40:35.000Z | 2022-02-22T14:43:34.000Z | # Copyright 2020 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License").
# You may not use this file except in compliance with the License.
# A copy of the License is located at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# or in th... | 40.201923 | 112 | 0.648649 | 543 | 4,181 | 4.907919 | 0.39779 | 0.033771 | 0.06379 | 0.019512 | 0.031144 | 0.019512 | 0 | 0 | 0 | 0 | 0 | 0.012805 | 0.234155 | 4,181 | 103 | 113 | 40.592233 | 0.819488 | 0.267161 | 0 | 0.034483 | 0 | 0 | 0.226645 | 0.015461 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.224138 | 0 | 0.224138 | 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 |
fd0c1d5bae5b02c0610c8254bb0ed033a6e6d1e5 | 1,079 | py | Python | optaux/helper_functions/check_nonvalidated_auxs.py | coltonlloyd/OptAux | 3ee1f8cdfa32f1a732ad41d5f854659159694160 | [
"MIT"
] | 1 | 2019-06-05T10:41:06.000Z | 2019-06-05T10:41:06.000Z | optaux/helper_functions/check_nonvalidated_auxs.py | coltonlloyd/OptAux | 3ee1f8cdfa32f1a732ad41d5f854659159694160 | [
"MIT"
] | null | null | null | optaux/helper_functions/check_nonvalidated_auxs.py | coltonlloyd/OptAux | 3ee1f8cdfa32f1a732ad41d5f854659159694160 | [
"MIT"
] | null | null | null | import cobra
from optaux import resources
resource_dir = resources.__path__[0]
met_to_rs = {'EX_pydam_e': ['PDX5PS', 'PYDXK', 'PYDXNK'],
'EX_orot_e': ['DHORTS', 'UPPRT', 'URIK2'],
'EX_thr__L_e': ['PTHRpp', 'THRS'],
'EX_pro__L_e': ['AMPTASEPG', 'P5CR'],
'EX_skm_e': ... | 33.71875 | 68 | 0.615385 | 168 | 1,079 | 3.630952 | 0.422619 | 0.04918 | 0.068852 | 0.083607 | 0.237705 | 0.211475 | 0.098361 | 0.098361 | 0 | 0 | 0 | 0.020457 | 0.229842 | 1,079 | 32 | 69 | 33.71875 | 0.713598 | 0 | 0 | 0 | 0 | 0 | 0.137963 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.08 | 0 | 0.08 | 0.08 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fd105e9dfaa8a1cb5dda8aab7e3ed98167bf73e4 | 10,430 | py | Python | csv-to-mysql.py | LongPhan1912/Youtube-Playlist-Extractor | 80b10e0b459c2cb264113cfaff644f5f28650813 | [
"CC0-1.0"
] | null | null | null | csv-to-mysql.py | LongPhan1912/Youtube-Playlist-Extractor | 80b10e0b459c2cb264113cfaff644f5f28650813 | [
"CC0-1.0"
] | null | null | null | csv-to-mysql.py | LongPhan1912/Youtube-Playlist-Extractor | 80b10e0b459c2cb264113cfaff644f5f28650813 | [
"CC0-1.0"
] | null | null | null | import csv
import MySQLdb
# installing MySQL: https://dev.mysql.com/doc/refman/8.0/en/osx-installation-pkg.html
# how to start, watch: https://www.youtube.com/watch?v=3vsC05rxZ8c
# or read this (absolutely helpful) guide: https://www.datacamp.com/community/tutorials/mysql-python
# this is mainly created to get a data... | 48.287037 | 136 | 0.661266 | 1,397 | 10,430 | 4.725125 | 0.219041 | 0.064081 | 0.050901 | 0.038176 | 0.395698 | 0.342524 | 0.28223 | 0.235419 | 0.215422 | 0.189062 | 0 | 0.008935 | 0.216683 | 10,430 | 215 | 137 | 48.511628 | 0.799021 | 0.346309 | 0 | 0.288889 | 0 | 0 | 0.124704 | 0.019231 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | false | 0.007407 | 0.014815 | 0 | 0.17037 | 0.044444 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fd1270311d2747042f749172a656ddde2d001d75 | 1,221 | py | Python | src/topologies/simple.py | sevenEng/Resolving-Consensus | a508701e19bd4ec0df735f5b094487983272dbb6 | [
"MIT"
] | null | null | null | src/topologies/simple.py | sevenEng/Resolving-Consensus | a508701e19bd4ec0df735f5b094487983272dbb6 | [
"MIT"
] | null | null | null | src/topologies/simple.py | sevenEng/Resolving-Consensus | a508701e19bd4ec0df735f5b094487983272dbb6 | [
"MIT"
] | null | null | null | from mininet.net import Mininet
from mininet.node import Controller, UserSwitch, IVSSwitch, OVSSwitch
from mininet.log import info, setLogLevel
setLogLevel("info")
import importlib
switch_num = 1
def add_switch(net):
global switch_num
res = "s%s" % str(switch_num)
switch_num += 1
return net.addSwitc... | 18.784615 | 69 | 0.633907 | 177 | 1,221 | 4.254237 | 0.299435 | 0.031873 | 0.027888 | 0.039841 | 0.061089 | 0.061089 | 0 | 0 | 0 | 0 | 0 | 0.010741 | 0.23751 | 1,221 | 64 | 70 | 19.078125 | 0.798067 | 0.01638 | 0 | 0.04878 | 0 | 0 | 0.075897 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.097561 | false | 0 | 0.097561 | 0 | 0.292683 | 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 |
fd1396e2ed5013e365c0832fe7ee283e5e1bda20 | 856 | py | Python | lunchapi/permissions.py | pesusieni999/lunchapplication | 2aa2a4320a2ad85b39b74c5dcc3d960a46cdb6ef | [
"MIT"
] | null | null | null | lunchapi/permissions.py | pesusieni999/lunchapplication | 2aa2a4320a2ad85b39b74c5dcc3d960a46cdb6ef | [
"MIT"
] | null | null | null | lunchapi/permissions.py | pesusieni999/lunchapplication | 2aa2a4320a2ad85b39b74c5dcc3d960a46cdb6ef | [
"MIT"
] | null | null | null | from rest_framework import permissions
__author__ = "Ville Myllynen"
__copyright__ = "Copyright 2017, Ohsiha Project"
__credits__ = ["Ville Myllynen"]
__license__ = "MIT"
__version__ = "1.0"
__maintainer__ = "Ville Myllynen"
__email__ = "ville.myllynen@student.tut.fi"
__status__ = "Development"
class IsOwnerOrReadO... | 31.703704 | 73 | 0.712617 | 103 | 856 | 5.572816 | 0.718447 | 0.090592 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008824 | 0.205607 | 856 | 27 | 74 | 31.703704 | 0.835294 | 0.315421 | 0 | 0 | 0 | 0 | 0.20885 | 0.051327 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.071429 | 0 | 0.357143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fd16885dbeb4939e362807cdc853aa44683b010f | 18,284 | py | Python | alphago/alphago.py | noahwaterfieldprice/alphago | 4a7bba6d9758ccf1d2f2d7ae964b5d5d48021ee8 | [
"MIT"
] | 4 | 2018-02-12T09:11:26.000Z | 2022-01-24T20:46:15.000Z | alphago/alphago.py | noahwaterfieldprice/alphago | 4a7bba6d9758ccf1d2f2d7ae964b5d5d48021ee8 | [
"MIT"
] | null | null | null | alphago/alphago.py | noahwaterfieldprice/alphago | 4a7bba6d9758ccf1d2f2d7ae964b5d5d48021ee8 | [
"MIT"
] | 3 | 2018-08-23T15:08:54.000Z | 2020-03-13T14:21:08.000Z | from collections import OrderedDict
import numpy as np
from tqdm import tqdm
import tensorflow as tf
from .player import MCTSPlayer, RandomPlayer, OptimalPlayer
from .evaluator import evaluate
from .mcts_tree import MCTSNode, mcts
from .utilities import sample_distribution
__all__ = ["train_alphago", "self_play", "p... | 39.152034 | 80 | 0.644553 | 2,293 | 18,284 | 4.924117 | 0.139555 | 0.030467 | 0.018599 | 0.026038 | 0.400939 | 0.347533 | 0.295279 | 0.246125 | 0.232132 | 0.211762 | 0 | 0.014066 | 0.280683 | 18,284 | 466 | 81 | 39.236052 | 0.844434 | 0.366823 | 0 | 0.280374 | 0 | 0 | 0.044378 | 0.003886 | 0 | 0 | 0 | 0.008584 | 0 | 1 | 0.056075 | false | 0 | 0.037383 | 0.004673 | 0.14486 | 0.037383 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fd1902e85156fc45744e6e48892733db33d5f755 | 4,373 | py | Python | extract_skip_thought.py | youngfly11/ReferCOCO-Pretraining-Detectron2 | 8c8536a4d822b3cf9140380442a440d42e948c38 | [
"Apache-2.0"
] | 2 | 2020-08-14T08:00:53.000Z | 2020-11-21T11:01:55.000Z | extract_skip_thought.py | youngfly11/ReferCOCO-Pretraining-Detectron2 | 8c8536a4d822b3cf9140380442a440d42e948c38 | [
"Apache-2.0"
] | null | null | null | extract_skip_thought.py | youngfly11/ReferCOCO-Pretraining-Detectron2 | 8c8536a4d822b3cf9140380442a440d42e948c38 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3.6
# -*- coding: utf-8 -*-
# @Time : 2020/6/25 22:41
# @Author : Yongfei Liu
# @Email : liuyf3@shanghaitech.edu.cn
import numpy as np
import os.path as osp
import os
import pickle
from collections import OrderedDict
import torch
import json
from detectron2.data.datasets.builtin_meta import CO... | 30.58042 | 104 | 0.607363 | 576 | 4,373 | 4.390625 | 0.262153 | 0.027679 | 0.02847 | 0.039541 | 0.215896 | 0.180308 | 0.166074 | 0.120996 | 0.120996 | 0.120996 | 0 | 0.01995 | 0.266408 | 4,373 | 142 | 105 | 30.795775 | 0.768392 | 0.241482 | 0 | 0.090909 | 0 | 0 | 0.125571 | 0.0637 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038961 | false | 0 | 0.103896 | 0 | 0.155844 | 0.064935 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fd1912c311e861ca371e1043073ef9f199c996c4 | 4,909 | py | Python | pyutil_mongo/cfg.py | chhsiao1981/pyutil_mongo | facea2376b48dd7157d4633ab8128c8daf7e59ef | [
"MIT"
] | null | null | null | pyutil_mongo/cfg.py | chhsiao1981/pyutil_mongo | facea2376b48dd7157d4633ab8128c8daf7e59ef | [
"MIT"
] | null | null | null | pyutil_mongo/cfg.py | chhsiao1981/pyutil_mongo | facea2376b48dd7157d4633ab8128c8daf7e59ef | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Attributes:
config (dict): Description
logger (logging.Logger): Description
"""
import logging
import pymongo
logger = None
config = {}
class MongoMap(object):
"""Info about MongoDB
Attributes:
ca (None, optional): ssl-ca
cert (None, optional): ssl-cert
... | 28.375723 | 243 | 0.646771 | 648 | 4,909 | 4.621914 | 0.162037 | 0.074124 | 0.062437 | 0.032721 | 0.211352 | 0.142571 | 0.039399 | 0.039399 | 0.039399 | 0.039399 | 0 | 0.002692 | 0.243227 | 4,909 | 172 | 244 | 28.540698 | 0.803499 | 0.254023 | 0 | 0.12987 | 0 | 0 | 0.077967 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.064935 | false | 0 | 0.025974 | 0 | 0.194805 | 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 |
fd1a5012b7966cdeb8f03d71591cc6d8a74c6420 | 2,337 | py | Python | tests/stakkr_compose_test.py | dwade75/stakkr | ae77607e84b5b305ae8f5a14eb8f22237d943a29 | [
"Apache-2.0"
] | null | null | null | tests/stakkr_compose_test.py | dwade75/stakkr | ae77607e84b5b305ae8f5a14eb8f22237d943a29 | [
"Apache-2.0"
] | null | null | null | tests/stakkr_compose_test.py | dwade75/stakkr | ae77607e84b5b305ae8f5a14eb8f22237d943a29 | [
"Apache-2.0"
] | null | null | null | import os
import sys
import stakkr.stakkr_compose as sc
import subprocess
import unittest
base_dir = os.path.abspath(os.path.dirname(__file__))
sys.path.insert(0, base_dir + '/../')
# https://docs.python.org/3/library/unittest.html#assert-methods
class StakkrComposeTest(unittest.TestCase):
services = {
'... | 31.16 | 86 | 0.670946 | 297 | 2,337 | 5.043771 | 0.309764 | 0.080107 | 0.06008 | 0.053405 | 0.218959 | 0.126836 | 0.085447 | 0.085447 | 0 | 0 | 0 | 0.016498 | 0.195978 | 2,337 | 74 | 87 | 31.581081 | 0.780734 | 0.026102 | 0 | 0.04 | 0 | 0 | 0.139463 | 0.070392 | 0 | 0 | 0 | 0 | 0.34 | 1 | 0.18 | false | 0 | 0.1 | 0 | 0.32 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fd1dc3801dfc8c9bd5d0968ee738990d98e2881b | 2,792 | py | Python | DQIC/backtesting/run.py | bladezzw/DeepQuantInChina | ce74a9bf8db91e3545ccc3e7af81f80796a536fa | [
"MIT"
] | 8 | 2019-04-14T03:05:19.000Z | 2020-02-13T18:35:41.000Z | DQIC/backtesting/run.py | bladezzw/DeepQuantInChina | ce74a9bf8db91e3545ccc3e7af81f80796a536fa | [
"MIT"
] | null | null | null | DQIC/backtesting/run.py | bladezzw/DeepQuantInChina | ce74a9bf8db91e3545ccc3e7af81f80796a536fa | [
"MIT"
] | 2 | 2019-05-08T08:23:50.000Z | 2020-01-23T03:54:41.000Z | import os,sys
BASE_DIR = os.path.dirname(os.path.dirname(__file__))
sys.path.append(BASE_DIR)
import datetime
import time
from backtesting.backtest import Backtest
from backtesting.data import HistoricCSVDataHandler
from backtesting.execution import SimulatedExecutionHandler
from backtesting.portfolio import Portfolio... | 33.638554 | 78 | 0.567335 | 255 | 2,792 | 6 | 0.34902 | 0.019608 | 0.036601 | 0.036601 | 0.321569 | 0.266667 | 0.266667 | 0.266667 | 0.266667 | 0.266667 | 0 | 0.02798 | 0.359957 | 2,792 | 82 | 79 | 34.04878 | 0.828204 | 0.112106 | 0 | 0.315789 | 0 | 0 | 0.022913 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035088 | false | 0 | 0.140351 | 0 | 0.192982 | 0.017544 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fd1e95f3c8250711415f3acb25bf5e3b26c63f39 | 3,306 | py | Python | Emergency/DB/DRAW3D.py | LeeDaeil/CNS_Autonomous | 2ae3688cfd654b9669893e3cdf4cdf1ac0748b9f | [
"Apache-2.0"
] | 2 | 2020-03-22T14:35:00.000Z | 2020-05-26T05:06:41.000Z | Emergency/DB/DRAW3D.py | LeeDaeil/CNS_Autonomous | 2ae3688cfd654b9669893e3cdf4cdf1ac0748b9f | [
"Apache-2.0"
] | null | null | null | Emergency/DB/DRAW3D.py | LeeDaeil/CNS_Autonomous | 2ae3688cfd654b9669893e3cdf4cdf1ac0748b9f | [
"Apache-2.0"
] | null | null | null | import matplotlib.pylab as plt
import numpy as np
import pandas as pd
from COMMONTOOL import PTCureve
DB = pd.read_csv('0_228.txt')
# DB = pd.read_csv('../3차 검증/322.txt')
# target_time = 100
# for i in range(0, len(DB)):
# if DB['KCNTOMS'].loc[i] != target_time:
# DB.drop([i], inplace=True)
# else:
#... | 30.897196 | 85 | 0.5366 | 550 | 3,306 | 3.178182 | 0.223636 | 0.017162 | 0.030892 | 0.030892 | 0.314645 | 0.262014 | 0.229405 | 0.228833 | 0.221968 | 0.221968 | 0 | 0.100379 | 0.201452 | 3,306 | 107 | 86 | 30.897196 | 0.561742 | 0.086509 | 0 | 0.055556 | 0 | 0 | 0.066201 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.055556 | 0 | 0.055556 | 0.013889 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fd22786701bf4e42b8d3932674e46c80a650982c | 678 | py | Python | common/common/management/commands/makemessages.py | FSTUM/rallyetool-v2 | 2f3e2b5cb8655abe023ed1215b7182430b75bb23 | [
"MIT"
] | 1 | 2021-10-30T09:31:02.000Z | 2021-10-30T09:31:02.000Z | common/common/management/commands/makemessages.py | FSTUM/rallyetool-v2 | 2f3e2b5cb8655abe023ed1215b7182430b75bb23 | [
"MIT"
] | 9 | 2021-11-23T10:13:43.000Z | 2022-03-01T15:04:15.000Z | common/common/management/commands/makemessages.py | CommanderStorm/rallyetool-v2 | 721413d6df8afc9347dac7ee83deb3a0ad4c01bc | [
"MIT"
] | 1 | 2021-10-16T09:07:47.000Z | 2021-10-16T09:07:47.000Z | from django.core.management.commands import makemessages
class Command(makemessages.Command):
def build_potfiles(self):
potfiles = super().build_potfiles()
for potfile in sorted(set(potfiles)):
self._remove_pot_creation_date(potfile)
return potfiles
@staticmethod
def... | 27.12 | 64 | 0.610619 | 78 | 678 | 5.141026 | 0.525641 | 0.082294 | 0.112219 | 0.104738 | 0.074813 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.29941 | 678 | 24 | 65 | 28.25 | 0.844211 | 0 | 0 | 0 | 0 | 0 | 0.035398 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.058824 | 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 |
fd2333a5ba2bad8fcd4a158981a7c15852072e07 | 6,529 | py | Python | app/api/v2/users/views_update.py | Raywire/iReporter | ac58414b84b9c96f0be5e0d477355d0811d8b9c5 | [
"MIT"
] | 3 | 2019-01-09T15:17:28.000Z | 2019-12-01T18:40:50.000Z | app/api/v2/users/views_update.py | Raywire/iReporter | ac58414b84b9c96f0be5e0d477355d0811d8b9c5 | [
"MIT"
] | 13 | 2018-11-30T05:33:13.000Z | 2021-04-30T20:46:41.000Z | app/api/v2/users/views_update.py | Raywire/iReporter | ac58414b84b9c96f0be5e0d477355d0811d8b9c5 | [
"MIT"
] | 3 | 2018-12-02T16:10:12.000Z | 2019-01-04T14:51:04.000Z | """Views for users"""
from flask_restful import Resource
from flask import jsonify, request
from app.api.v2.users.models import UserModel
from app.api.v2.decorator import token_required, get_token
from app.api.v2.send_email import send
class UserStatus(Resource):
"""Class with method for updating a specific user... | 33.482051 | 135 | 0.551386 | 682 | 6,529 | 5.159824 | 0.205279 | 0.055413 | 0.080989 | 0.037511 | 0.448423 | 0.389599 | 0.366581 | 0.345553 | 0.322251 | 0.280477 | 0 | 0.017254 | 0.351968 | 6,529 | 194 | 136 | 33.654639 | 0.814465 | 0.07214 | 0 | 0.581081 | 0 | 0.006757 | 0.224592 | 0.004165 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054054 | false | 0 | 0.033784 | 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 |
fd247bba2b56b1306086374a12025c1833517c10 | 7,357 | py | Python | LoadDataAndPrepare/Make_Dictionaries/4_make_reviews_all_words_vocab_dictionary.py | ngrover2/Automatic_Lexicon_Induction | b58a1d55f294293161dc23ab2e6d669c1c5e90d8 | [
"MIT"
] | null | null | null | LoadDataAndPrepare/Make_Dictionaries/4_make_reviews_all_words_vocab_dictionary.py | ngrover2/Automatic_Lexicon_Induction | b58a1d55f294293161dc23ab2e6d669c1c5e90d8 | [
"MIT"
] | null | null | null | LoadDataAndPrepare/Make_Dictionaries/4_make_reviews_all_words_vocab_dictionary.py | ngrover2/Automatic_Lexicon_Induction | b58a1d55f294293161dc23ab2e6d669c1c5e90d8 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import sys
import os
import traceback
import ujson
from pprint import pprint
from textblob import TextBlob as tb
from textblob import Word as wd
import shutil
from collections import defaultdict
from gensim.corpora import Dictionary
from socialconfig import config
class get_reviews_iterable(ob... | 42.773256 | 156 | 0.740791 | 1,113 | 7,357 | 4.538185 | 0.14735 | 0.099782 | 0.037616 | 0.036032 | 0.560285 | 0.484063 | 0.403286 | 0.339735 | 0.296971 | 0.249258 | 0 | 0.00413 | 0.144352 | 7,357 | 171 | 157 | 43.023392 | 0.798253 | 0.028952 | 0 | 0.128788 | 0 | 0 | 0.129905 | 0.060538 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030303 | false | 0.022727 | 0.083333 | 0 | 0.128788 | 0.060606 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fd266f079f9daa527e01e31d5df3c4df79e8150b | 1,126 | py | Python | day 03/day03_part1.py | MischaDy/PyAdventOfCode2020 | 3e0a1a61ac930d7e30a0104ac617008297508fcb | [
"CC0-1.0"
] | 2 | 2020-12-17T18:49:20.000Z | 2021-02-20T16:48:14.000Z | day 03/day03_part1.py | MischaDy/PyAdventOfCode2020 | 3e0a1a61ac930d7e30a0104ac617008297508fcb | [
"CC0-1.0"
] | null | null | null | day 03/day03_part1.py | MischaDy/PyAdventOfCode2020 | 3e0a1a61ac930d7e30a0104ac617008297508fcb | [
"CC0-1.0"
] | 3 | 2020-12-20T19:08:32.000Z | 2020-12-26T22:11:15.000Z | from helpers.cyclic_list import CyclicList
from helpers.coordinates2d import Coordinates2D
RUN_TEST = False
TEST_SOLUTION = 7
TEST_INPUT_FILE = 'test_input_day_03.txt'
INPUT_FILE = 'input_day_03.txt'
START = Coordinates2D((0, 0)) # top left corner
TRAJECTORY = Coordinates2D((3, 1)) # right 3, down 1
ARGS = [START... | 26.186047 | 86 | 0.688277 | 156 | 1,126 | 4.679487 | 0.384615 | 0.073973 | 0.049315 | 0.035616 | 0.158904 | 0.087671 | 0 | 0 | 0 | 0 | 0 | 0.021372 | 0.21048 | 1,126 | 42 | 87 | 26.809524 | 0.799775 | 0.052398 | 0 | 0.066667 | 0 | 0 | 0.043274 | 0.019755 | 0 | 0 | 0 | 0 | 0.033333 | 1 | 0.066667 | false | 0 | 0.066667 | 0 | 0.2 | 0.066667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fd279c40ef3cc1786017d66b7c1e1b885d2e67e1 | 807 | py | Python | binary_tree/e_path_sum.py | dhrubach/python-code-recipes | 14356c6adb1946417482eaaf6f42dde4b8351d2f | [
"MIT"
] | null | null | null | binary_tree/e_path_sum.py | dhrubach/python-code-recipes | 14356c6adb1946417482eaaf6f42dde4b8351d2f | [
"MIT"
] | null | null | null | binary_tree/e_path_sum.py | dhrubach/python-code-recipes | 14356c6adb1946417482eaaf6f42dde4b8351d2f | [
"MIT"
] | null | null | null | ###############################################
# LeetCode Problem Number : 112
# Difficulty Level : Easy
# URL : https://leetcode.com/problems/path-sum/
###############################################
from binary_search_tree.tree_node import TreeNode
class BinaryTree:
def hasPathSum(self, root: TreeNode, sum: in... | 25.21875 | 59 | 0.484511 | 87 | 807 | 4.45977 | 0.471264 | 0.054124 | 0.051546 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007339 | 0.324659 | 807 | 31 | 60 | 26.032258 | 0.704587 | 0.122677 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.058824 | 0 | 0.470588 | 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 |
fd2a6655ca5c2bb5ada546fc62616fc063ba84a1 | 3,900 | py | Python | tests/unit/guests/linux/storage/disk.py | tessia-project/tessia-baselib | 07004b7f6462f081a6f7e810954fd7e0d2cdcf6b | [
"Apache-2.0"
] | 1 | 2022-01-27T01:32:14.000Z | 2022-01-27T01:32:14.000Z | tests/unit/guests/linux/storage/disk.py | tessia-project/tessia-baselib | 07004b7f6462f081a6f7e810954fd7e0d2cdcf6b | [
"Apache-2.0"
] | null | null | null | tests/unit/guests/linux/storage/disk.py | tessia-project/tessia-baselib | 07004b7f6462f081a6f7e810954fd7e0d2cdcf6b | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 IBM Corp.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, sof... | 30 | 78 | 0.646923 | 483 | 3,900 | 5.024845 | 0.403727 | 0.02637 | 0.024722 | 0.029666 | 0.181294 | 0.137618 | 0.116193 | 0.116193 | 0.116193 | 0.046148 | 0 | 0.006186 | 0.253846 | 3,900 | 129 | 79 | 30.232558 | 0.827835 | 0.319231 | 0 | 0.153846 | 0 | 0 | 0.091134 | 0 | 0 | 0 | 0 | 0 | 0.076923 | 1 | 0.134615 | false | 0 | 0.096154 | 0 | 0.288462 | 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 |
fd2ae8dc293d1b7377165b6678e015927d2d75d1 | 5,479 | py | Python | kornia/x/trainer.py | AK391/kornia | a2535eb7593ee2fed94d23cc720804a16f9f0e7e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | kornia/x/trainer.py | AK391/kornia | a2535eb7593ee2fed94d23cc720804a16f9f0e7e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | kornia/x/trainer.py | AK391/kornia | a2535eb7593ee2fed94d23cc720804a16f9f0e7e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | import logging
from typing import Callable, Dict
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
# the accelerator library is a requirement for the Trainer
# but it is optional for grousnd base user of kornia.
try:
from accelerate import Accelerator
except ImportError:
Accelerator =... | 34.459119 | 95 | 0.632962 | 626 | 5,479 | 5.479233 | 0.354633 | 0.030612 | 0.025656 | 0.013411 | 0.069388 | 0.046647 | 0.046647 | 0.027988 | 0 | 0 | 0 | 0.002029 | 0.280343 | 5,479 | 158 | 96 | 34.677215 | 0.867867 | 0.334003 | 0 | 0.068182 | 0 | 0 | 0.083474 | 0.015792 | 0 | 0 | 0 | 0 | 0 | 1 | 0.113636 | false | 0 | 0.102273 | 0.034091 | 0.261364 | 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 |
fd2c1f1342cad7325a43f5762d5c2d1d94cfe573 | 2,795 | py | Python | datasets/transformations/jpeg_compress.py | bytedance/Hammer | 388ed20b3d9b34f33f5357d75f8fe5d726782ec8 | [
"MIT"
] | 97 | 2022-02-08T09:00:57.000Z | 2022-03-23T05:33:35.000Z | datasets/transformations/jpeg_compress.py | bytedance/Hammer | 388ed20b3d9b34f33f5357d75f8fe5d726782ec8 | [
"MIT"
] | null | null | null | datasets/transformations/jpeg_compress.py | bytedance/Hammer | 388ed20b3d9b34f33f5357d75f8fe5d726782ec8 | [
"MIT"
] | 7 | 2022-02-08T15:13:02.000Z | 2022-03-19T19:11:13.000Z | # python3.7
"""Implements JPEG compression on images."""
import cv2
import numpy as np
try:
import nvidia.dali.fn as fn
import nvidia.dali.types as types
except ImportError:
fn = None
from utils.formatting_utils import format_range
from .base_transformation import BaseTransformation
__all__ = ['JpegComp... | 35.379747 | 80 | 0.65975 | 348 | 2,795 | 5.140805 | 0.413793 | 0.060369 | 0.053661 | 0.027949 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01677 | 0.253309 | 2,795 | 78 | 81 | 35.833333 | 0.840441 | 0.284079 | 0 | 0.093023 | 0 | 0 | 0.008235 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.069767 | false | 0 | 0.162791 | 0 | 0.325581 | 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 |
fd2ca1a6e56d2464e000ae2d9a68e5afd6f6c238 | 2,046 | py | Python | venv/VFR/flask_app_3d.py | flhataf/Virtual-Fitting-Room | e5b41849df963cebd3b7deb7e87d643ece5b6d18 | [
"MIT"
] | null | null | null | venv/VFR/flask_app_3d.py | flhataf/Virtual-Fitting-Room | e5b41849df963cebd3b7deb7e87d643ece5b6d18 | [
"MIT"
] | null | null | null | venv/VFR/flask_app_3d.py | flhataf/Virtual-Fitting-Room | e5b41849df963cebd3b7deb7e87d643ece5b6d18 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Feb 15 00:31:35 2021
@author: RayaBit
"""
from flask import Flask, render_template, Response
from imutils.video import VideoStream
from skeletonDetector import skeleton
import cv2
from skeleton3DDetector import Skeleton3dDetector
from visualization import Visualizer
import t... | 26.571429 | 115 | 0.616813 | 269 | 2,046 | 4.572491 | 0.483271 | 0.042276 | 0.026829 | 0.035772 | 0.043902 | 0 | 0 | 0 | 0 | 0 | 0 | 0.05239 | 0.253666 | 2,046 | 77 | 116 | 26.571429 | 0.753111 | 0.160313 | 0 | 0.155556 | 0 | 0 | 0.091069 | 0.015276 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.155556 | 0.044444 | 0.266667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fd2dbbfa0aac3167c6b35b08529f51283edf8826 | 8,144 | py | Python | schedsi/threads/thread.py | z33ky/schedsi | 3affe28a3e1d2001c639d7c0423cb105d1991590 | [
"CC0-1.0"
] | 1 | 2017-08-03T12:58:53.000Z | 2017-08-03T12:58:53.000Z | schedsi/threads/thread.py | z33ky/schedsi | 3affe28a3e1d2001c639d7c0423cb105d1991590 | [
"CC0-1.0"
] | null | null | null | schedsi/threads/thread.py | z33ky/schedsi | 3affe28a3e1d2001c639d7c0423cb105d1991590 | [
"CC0-1.0"
] | null | null | null | """Define the :class:`Thread`."""
import threading
from schedsi.cpu import request as cpurequest
from schedsi.cpu.time import Time
#: Whether to log individual times, or only the sum
LOG_INDIVIDUAL = True
class _ThreadStats: # pylint: disable=too-few-public-methods
"""Thread statistics."""
def __init__(s... | 32.706827 | 94 | 0.608915 | 1,025 | 8,144 | 4.687805 | 0.187317 | 0.077836 | 0.048699 | 0.029136 | 0.31155 | 0.227888 | 0.150052 | 0.13257 | 0.091988 | 0.064932 | 0 | 0.002316 | 0.310658 | 8,144 | 248 | 95 | 32.83871 | 0.85358 | 0.336198 | 0 | 0.232759 | 0 | 0 | 0.005653 | 0 | 0 | 0 | 0 | 0 | 0.189655 | 1 | 0.12069 | false | 0 | 0.025862 | 0 | 0.206897 | 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 |
fd2e8e4f0baea2b1df6722ef44a729d6280f10cc | 5,552 | py | Python | application/src/initializer/auxiliary_methods.py | eyardley/CSC648-SoftwareEngineering-Snapster | 6dbe1cf9b34de6d6dbc6be75db3a34583f67c01a | [
"MIT"
] | null | null | null | application/src/initializer/auxiliary_methods.py | eyardley/CSC648-SoftwareEngineering-Snapster | 6dbe1cf9b34de6d6dbc6be75db3a34583f67c01a | [
"MIT"
] | 3 | 2021-06-08T21:39:12.000Z | 2022-01-13T02:46:20.000Z | application/src/initializer/auxiliary_methods.py | eyardley/CSC648-SoftwareEngineering-Snapster | 6dbe1cf9b34de6d6dbc6be75db3a34583f67c01a | [
"MIT"
] | 1 | 2021-05-09T21:01:28.000Z | 2021-05-09T21:01:28.000Z |
def fill_team_about(db):
###############################
# FILL TEAM ABOUT TABLE #
###############################
print('Inserting data into team member profiles table')
add_about_team_query = ("INSERT INTO team_about "
"(name, link, position, image, description,... | 52.377358 | 263 | 0.568444 | 719 | 5,552 | 4.23644 | 0.222531 | 0.010506 | 0.04432 | 0.073867 | 0.395272 | 0.343073 | 0.322718 | 0.317794 | 0.317794 | 0.317794 | 0 | 0.039896 | 0.237032 | 5,552 | 106 | 264 | 52.377358 | 0.679178 | 0.012968 | 0 | 0.2625 | 0 | 0.025 | 0.562654 | 0.094878 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0375 | false | 0 | 0 | 0 | 0.0375 | 0.075 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fd3187f8e540b93ec7789114fa6cc6e3969608ec | 1,335 | py | Python | pyBRML/pyBRML/core.py | anich003/brml_toolkit | de8218bdf333902431d4c0055fcf5cb3dc47d0c1 | [
"MIT"
] | null | null | null | pyBRML/pyBRML/core.py | anich003/brml_toolkit | de8218bdf333902431d4c0055fcf5cb3dc47d0c1 | [
"MIT"
] | null | null | null | pyBRML/pyBRML/core.py | anich003/brml_toolkit | de8218bdf333902431d4c0055fcf5cb3dc47d0c1 | [
"MIT"
] | null | null | null | import copy
from pyBRML import utils
from pyBRML import Array
def multiply_potentials(list_of_potentials):
"""
Returns the product of each potential in list_of_potentials, useful for
calculating joint probabilities.
For example, if the joint probability of a system is defined as
p(A,B,C) = p(... | 35.131579 | 94 | 0.743071 | 190 | 1,335 | 5.115789 | 0.436842 | 0.030864 | 0.082305 | 0.034979 | 0.055556 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002825 | 0.204494 | 1,335 | 37 | 95 | 36.081081 | 0.912429 | 0.534831 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.230769 | 0 | 0.384615 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fd3394f2b7968055dc2a5d2b8bdde46ae4644c49 | 2,098 | py | Python | lib/akf_known_uncategories.py | UB-Mannheim/docxstruct | dd6d99b6fd6f5660fdc61a14b60e70a54ac9be85 | [
"Apache-2.0"
] | 1 | 2019-03-06T14:59:44.000Z | 2019-03-06T14:59:44.000Z | lib/akf_known_uncategories.py | UB-Mannheim/docxstruct | dd6d99b6fd6f5660fdc61a14b60e70a54ac9be85 | [
"Apache-2.0"
] | null | null | null | lib/akf_known_uncategories.py | UB-Mannheim/docxstruct | dd6d99b6fd6f5660fdc61a14b60e70a54ac9be85 | [
"Apache-2.0"
] | null | null | null | import re
class KnownUncategories(object):
"""
List of known entries in test_data which are no categories,
but are recognized as such
"""
def __init__(self):
# un-category regex strings (care for commas)
self.uc = [
"Beteiligung", # 1956: is part of B... | 31.313433 | 108 | 0.515253 | 229 | 2,098 | 4.598253 | 0.510917 | 0.034188 | 0.047483 | 0.05698 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.029088 | 0.393708 | 2,098 | 67 | 109 | 31.313433 | 0.798742 | 0.306482 | 0 | 0.088889 | 0 | 0 | 0.152738 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088889 | false | 0 | 0.022222 | 0.044444 | 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 |
fd33bdf592a5bbf5b20d72627b7e89fa294ef5bf | 1,640 | py | Python | maps/templatetags/mapas_tags.py | lsalta/mapground | d927d283dab6f756574bd88b3251b9e68f000ca7 | [
"MIT"
] | null | null | null | maps/templatetags/mapas_tags.py | lsalta/mapground | d927d283dab6f756574bd88b3251b9e68f000ca7 | [
"MIT"
] | 3 | 2020-02-11T23:04:56.000Z | 2021-06-10T18:07:53.000Z | maps/templatetags/mapas_tags.py | lsalta/mapground | d927d283dab6f756574bd88b3251b9e68f000ca7 | [
"MIT"
] | 1 | 2021-08-20T14:49:09.000Z | 2021-08-20T14:49:09.000Z | from django import template
register = template.Library()
def mostrar_resumen_mapa(context, m, order_by):
# print context
to_return = {
'mapa': m,
'order_by': order_by,
}
return to_return
@register.inclusion_tag('mapas/lista_mapas.html')
def mostrar_mapas(lista_mapas, order_by):
to_return = {
... | 22.777778 | 83 | 0.668902 | 230 | 1,640 | 4.582609 | 0.33913 | 0.04649 | 0.049336 | 0.026565 | 0.135674 | 0.100569 | 0.100569 | 0.100569 | 0.100569 | 0.100569 | 0 | 0.006844 | 0.198171 | 1,640 | 71 | 84 | 23.098592 | 0.794677 | 0.215244 | 0 | 0.25 | 0 | 0 | 0.103336 | 0.017901 | 0 | 0 | 0 | 0 | 0 | 1 | 0.175 | false | 0 | 0.025 | 0.05 | 0.45 | 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 |
fd349e3352814cffd9d5b6c0c4f84624bb4c6bc6 | 1,868 | py | Python | app/services/aggregator/aggr.py | maestro-server/report-app | 0bf9014400f2979c51c1c544347d5134c73facdf | [
"Apache-2.0"
] | 1 | 2020-05-19T20:18:05.000Z | 2020-05-19T20:18:05.000Z | app/services/aggregator/aggr.py | maestro-server/report-app | 0bf9014400f2979c51c1c544347d5134c73facdf | [
"Apache-2.0"
] | 2 | 2019-10-21T14:56:04.000Z | 2020-03-27T12:48:26.000Z | app/services/aggregator/aggr.py | maestro-server/report-app | 0bf9014400f2979c51c1c544347d5134c73facdf | [
"Apache-2.0"
] | null | null | null | import pandas as pd
from pydash.objects import get
class Aggregator(object):
def __init__(self, field, lens=None, sublens='_id', include=[], opts={}):
self._field = field
self._lens = lens
self._sublens = sublens
self._result = []
self._transf = []
self._include = ... | 23.64557 | 77 | 0.556745 | 207 | 1,868 | 4.806763 | 0.328502 | 0.042211 | 0.096482 | 0.036181 | 0.138693 | 0.138693 | 0.082412 | 0.082412 | 0 | 0 | 0 | 0.000798 | 0.329229 | 1,868 | 78 | 78 | 23.948718 | 0.793296 | 0 | 0 | 0.109091 | 0 | 0 | 0.009636 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.036364 | 0.054545 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fd3bd480b9c0a1b8e0dc9e02d722d288943bec44 | 357 | py | Python | DataStructuresAndAlgorithms/sorting algorithms/SelectionSort.py | armaan2k/Training-Exercises | 6dd94efb6cd6e0dc6c24e2b7d5e74588a74d190d | [
"MIT"
] | null | null | null | DataStructuresAndAlgorithms/sorting algorithms/SelectionSort.py | armaan2k/Training-Exercises | 6dd94efb6cd6e0dc6c24e2b7d5e74588a74d190d | [
"MIT"
] | null | null | null | DataStructuresAndAlgorithms/sorting algorithms/SelectionSort.py | armaan2k/Training-Exercises | 6dd94efb6cd6e0dc6c24e2b7d5e74588a74d190d | [
"MIT"
] | null | null | null | def selection_sort(A):
n = len(A)
for i in range(n - 1):
position = i
for j in range(i + 1, n):
if A[j] < A[position]:
position = j
temp = A[i]
A[i] = A[position]
A[position] = temp
A = [3, 5, 8, 9, 6, 2]
print('Original Array: ', A)
selectio... | 21 | 34 | 0.473389 | 57 | 357 | 2.929825 | 0.438596 | 0.161677 | 0.167665 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035556 | 0.369748 | 357 | 16 | 35 | 22.3125 | 0.706667 | 0 | 0 | 0 | 0 | 0 | 0.084034 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0 | 0 | 0.071429 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fd464df7fbbebbe26bc4d827bb8cf980aecbe03a | 13,019 | py | Python | src/model/build_models.py | VinGPan/classification_model_search | fab7ce6fc131b858f1b79633e0f7b86d1446c93d | [
"MIT"
] | null | null | null | src/model/build_models.py | VinGPan/classification_model_search | fab7ce6fc131b858f1b79633e0f7b86d1446c93d | [
"MIT"
] | null | null | null | src/model/build_models.py | VinGPan/classification_model_search | fab7ce6fc131b858f1b79633e0f7b86d1446c93d | [
"MIT"
] | null | null | null | import os
import os.path
import pickle
from shutil import copyfile
import numpy as np
import pandas as pd
import xgboost as xgb
from sklearn.decomposition import KernelPCA
from sklearn.decomposition import PCA
from sklearn.ensemble import AdaBoostClassifier
from sklearn.ensemble import GradientBoostingClassifier
from ... | 47.688645 | 118 | 0.541132 | 1,325 | 13,019 | 5.111698 | 0.216604 | 0.032482 | 0.018603 | 0.031891 | 0.242433 | 0.150746 | 0.111324 | 0.088882 | 0.088882 | 0.067326 | 0 | 0.006846 | 0.293187 | 13,019 | 272 | 119 | 47.863971 | 0.729189 | 0.074583 | 0 | 0.142857 | 0 | 0 | 0.133548 | 0 | 0.004762 | 0 | 0 | 0 | 0 | 1 | 0.02381 | false | 0.009524 | 0.138095 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fd4d6ed01b3decd5927f1d836a338350d16f500c | 941 | py | Python | LC_problems/822.py | Howardhuang98/Blog | cf58638d6d0bbf55b95fe08e43798e7dd14219ac | [
"MIT"
] | null | null | null | LC_problems/822.py | Howardhuang98/Blog | cf58638d6d0bbf55b95fe08e43798e7dd14219ac | [
"MIT"
] | null | null | null | LC_problems/822.py | Howardhuang98/Blog | cf58638d6d0bbf55b95fe08e43798e7dd14219ac | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
"""
@File : 822.py
@Contact : huanghoward@foxmail.com
@Modify Time : 2022/3/29 13:19
------------
"""
from typing import List
class Solution:
def flipgame(self, fronts: List[int], backs: List[int]) -> int:
ans = float('+inf')
fo... | 27.676471 | 67 | 0.420829 | 102 | 941 | 3.803922 | 0.568627 | 0.036082 | 0.051546 | 0.082474 | 0.092784 | 0 | 0 | 0 | 0 | 0 | 0 | 0.032505 | 0.444208 | 941 | 34 | 68 | 27.676471 | 0.709369 | 0.170032 | 0 | 0.130435 | 0 | 0 | 0.015524 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0 | 0.043478 | 0 | 0.173913 | 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 |
fd4d784f79a128a2168a7d3f9c317a2fb64d12f1 | 22,795 | py | Python | result/analyze.py | kuriatsu/PIE_RAS | 8dd33b4d4f7b082337a2645c0a72082374768b52 | [
"Apache-2.0"
] | null | null | null | result/analyze.py | kuriatsu/PIE_RAS | 8dd33b4d4f7b082337a2645c0a72082374768b52 | [
"Apache-2.0"
] | null | null | null | result/analyze.py | kuriatsu/PIE_RAS | 8dd33b4d4f7b082337a2645c0a72082374768b52 | [
"Apache-2.0"
] | null | null | null | #! /usr/bin/python3
# -*- coding: utf-8 -*-
import pickle
import pandas as pd
import xml.etree.ElementTree as ET
import math
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
import csv
import glob
import scikit_posthocs as sp
from scipy import stats
import os
from scipy import stats
import scik... | 44.696078 | 222 | 0.612547 | 3,196 | 22,795 | 4.176471 | 0.098874 | 0.052592 | 0.053941 | 0.075517 | 0.737114 | 0.699655 | 0.64579 | 0.596344 | 0.54128 | 0.529293 | 0 | 0.036641 | 0.176267 | 22,795 | 509 | 223 | 44.78389 | 0.674229 | 0.087037 | 0 | 0.506173 | 0 | 0.014815 | 0.158824 | 0.021922 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.034568 | 0 | 0.034568 | 0.101235 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fd518544ef8c44c965453eb8925336fcec4f3ee3 | 3,005 | py | Python | convert_nbrId_to_orgnr.py | obtitus/barnehagefakta_osm | 4539525f6defcc67a087cc57baad996f8d76b8bd | [
"Apache-2.0"
] | 1 | 2018-10-05T17:00:23.000Z | 2018-10-05T17:00:23.000Z | convert_nbrId_to_orgnr.py | obtitus/barnehagefakta_osm | 4539525f6defcc67a087cc57baad996f8d76b8bd | [
"Apache-2.0"
] | 6 | 2016-05-29T09:33:06.000Z | 2019-12-18T20:24:50.000Z | convert_nbrId_to_orgnr.py | obtitus/barnehagefakta_osm | 4539525f6defcc67a087cc57baad996f8d76b8bd | [
"Apache-2.0"
] | null | null | null | # Database switched from having nsrId to using orgnr, this script helps with this conversion.
import os
import re
import json
import subprocess
from glob import glob
from utility_to_osm import file_util
if __name__ == '__main__':
data_dir = 'data' #'barnehagefakta_osm_data/data'
nsrId_to_orgnr_filename = 'nsr... | 40.608108 | 110 | 0.509151 | 324 | 3,005 | 4.512346 | 0.314815 | 0.067031 | 0.106703 | 0.046512 | 0.365937 | 0.305062 | 0.262654 | 0.262654 | 0.213406 | 0.213406 | 0 | 0.00564 | 0.409983 | 3,005 | 73 | 111 | 41.164384 | 0.818951 | 0.092845 | 0 | 0.357143 | 0 | 0 | 0.082751 | 0.050018 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.107143 | 0 | 0.107143 | 0.071429 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fd543b58f8ff3f846e998d58939fe4d5bc4acf05 | 5,859 | py | Python | main.py | MO-RISE/crowsnest-connector-cluon-n2k | 11eaefd8ebe76829ec8fe91f99da9acbc84e5187 | [
"Apache-2.0"
] | null | null | null | main.py | MO-RISE/crowsnest-connector-cluon-n2k | 11eaefd8ebe76829ec8fe91f99da9acbc84e5187 | [
"Apache-2.0"
] | null | null | null | main.py | MO-RISE/crowsnest-connector-cluon-n2k | 11eaefd8ebe76829ec8fe91f99da9acbc84e5187 | [
"Apache-2.0"
] | null | null | null | """Main entrypoint for this application"""
from pathlib import Path
from math import degrees
from datetime import datetime
import logging
import warnings
from environs import Env
from streamz import Stream
from paho.mqtt.client import Client as MQTT
from pycluon import OD4Session, Envelope as cEnvelope
from pycluo... | 30.046154 | 135 | 0.70524 | 769 | 5,859 | 5.192458 | 0.288687 | 0.010018 | 0.012021 | 0.014525 | 0.326071 | 0.282995 | 0.268971 | 0.237415 | 0.196844 | 0.196844 | 0 | 0.018235 | 0.185697 | 5,859 | 194 | 136 | 30.201031 | 0.818696 | 0.122717 | 0 | 0.166667 | 0 | 0.016667 | 0.187402 | 0.025314 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033333 | false | 0.016667 | 0.141667 | 0 | 0.233333 | 0.008333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fd54b2677eda2400e60664de51925feee4550c09 | 7,569 | py | Python | cocapi/client/api.py | bim-ba/coc-api | 69ff957803cb991dfad8df3af752d193171f2ef0 | [
"Unlicense"
] | 1 | 2022-03-29T12:39:36.000Z | 2022-03-29T12:39:36.000Z | cocapi/client/api.py | bim-ba/coc-api | 69ff957803cb991dfad8df3af752d193171f2ef0 | [
"Unlicense"
] | null | null | null | cocapi/client/api.py | bim-ba/coc-api | 69ff957803cb991dfad8df3af752d193171f2ef0 | [
"Unlicense"
] | null | null | null | from typing import Any, Optional
from dataclasses import dataclass, field
import aiohttp
from ..types import aliases
from ..types import exceptions
@dataclass
class BaseMethod:
# config
base_url: aliases.Url | None = field(init=False, default=None)
default_http_method: aliases.RequestMethod | None = fie... | 34.880184 | 143 | 0.62069 | 797 | 7,569 | 5.771644 | 0.258469 | 0.040652 | 0.041304 | 0.019565 | 0.172609 | 0.148261 | 0.08 | 0 | 0 | 0 | 0 | 0.006826 | 0.225789 | 7,569 | 216 | 144 | 35.041667 | 0.778157 | 0.027877 | 0 | 0.055556 | 0 | 0 | 0.208555 | 0.104175 | 0 | 0 | 0 | 0 | 0 | 1 | 0.018519 | false | 0.018519 | 0.046296 | 0 | 0.444444 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fd56674cc383ba9fa6321e89c2463e251d94abf2 | 28,594 | py | Python | ratings.py | struct-rgb/ratings | 40d56455406cfee9731c564e54ed7610b5a9641c | [
"MIT"
] | null | null | null | ratings.py | struct-rgb/ratings | 40d56455406cfee9731c564e54ed7610b5a9641c | [
"MIT"
] | null | null | null | ratings.py | struct-rgb/ratings | 40d56455406cfee9731c564e54ed7610b5a9641c | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import re
import json
import random
from pathlib import Path
from datetime import date
from typing import Any, Callable, Set, Tuple
import gi
gi.require_version("Gtk", "3.0")
from gi.repository import Gtk
from tags import Filter, Box, CompilationError, escape, enum_subject_parser_factory, tagset,... | 26.305428 | 148 | 0.708435 | 3,978 | 28,594 | 4.918301 | 0.087984 | 0.036187 | 0.026987 | 0.015742 | 0.485101 | 0.430411 | 0.363046 | 0.329415 | 0.305597 | 0.28229 | 0 | 0.003033 | 0.169721 | 28,594 | 1,087 | 149 | 26.305428 | 0.821069 | 0.023641 | 0 | 0.304956 | 0 | 0 | 0.094603 | 0.007787 | 0 | 0 | 0 | 0.00092 | 0 | 1 | 0.142313 | false | 0.003812 | 0.012706 | 0.027954 | 0.227446 | 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 |
fd567ff8b78d041903de62043964d3c66a7450a4 | 10,218 | py | Python | K64F Python Interfacing Testing/Loop_Read.py | Marnold212/CamLab-K64F | 20689b4be38aa329990dbfe13eec43d74b3ae27a | [
"Apache-2.0"
] | null | null | null | K64F Python Interfacing Testing/Loop_Read.py | Marnold212/CamLab-K64F | 20689b4be38aa329990dbfe13eec43d74b3ae27a | [
"Apache-2.0"
] | null | null | null | K64F Python Interfacing Testing/Loop_Read.py | Marnold212/CamLab-K64F | 20689b4be38aa329990dbfe13eec43d74b3ae27a | [
"Apache-2.0"
] | null | null | null | import numpy as np
from serial.serialutil import SerialException
import serial.tools.list_ports as port_list
import serial
import time
def Hex_To_Dec(input): # input of form "40048024"
return int(input, 16)
def Hex_To_Bin(input): # input of form "40048024"
return bin(int(input, 16))
def Hex_To_Bytes(input):... | 47.305556 | 224 | 0.641124 | 1,496 | 10,218 | 4.198529 | 0.20254 | 0.028658 | 0.014011 | 0.012259 | 0.465372 | 0.422067 | 0.373348 | 0.338481 | 0.315555 | 0.307594 | 0 | 0.040964 | 0.256997 | 10,218 | 216 | 225 | 47.305556 | 0.786354 | 0.368174 | 0 | 0.276923 | 0 | 0 | 0.037518 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.092308 | false | 0 | 0.038462 | 0.030769 | 0.215385 | 0.023077 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fd5ed16b310aacd62d38f7ed79f88685cc24b454 | 1,189 | py | Python | senlerpy/senler.py | tezmen/SenlerPy | ce8ab8512ed795e8e6f1e7ff76f54c6aa2d3cd82 | [
"Apache-2.0"
] | 2 | 2019-03-19T08:46:27.000Z | 2020-11-12T10:55:59.000Z | senlerpy/senler.py | tezmen/SenlerPy | ce8ab8512ed795e8e6f1e7ff76f54c6aa2d3cd82 | [
"Apache-2.0"
] | 1 | 2021-03-30T16:55:09.000Z | 2021-03-30T16:55:09.000Z | senlerpy/senler.py | tezmen/SenlerPy | ce8ab8512ed795e8e6f1e7ff76f54c6aa2d3cd82 | [
"Apache-2.0"
] | 7 | 2019-03-19T08:47:35.000Z | 2021-08-24T11:47:41.000Z | # -*- coding: utf-8 -*-
import json
import logging
from .request import RequestApi
from .exceptions import ApiError, WrongId, HttpError
logger = logging.getLogger(__name__)
class Senler:
def __init__(self, secret, vk_group_id=None):
self.vk_group = vk_group_id
self.__secret = str(secret).strip()
self._rq = Re... | 25.847826 | 81 | 0.735071 | 172 | 1,189 | 4.77907 | 0.372093 | 0.110706 | 0.054745 | 0.03163 | 0.043796 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000988 | 0.148865 | 1,189 | 45 | 82 | 26.422222 | 0.811265 | 0.017662 | 0 | 0.055556 | 0 | 0 | 0.150086 | 0.062607 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.111111 | 0.055556 | 0.416667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fd5f3466a377d682676cf2f35cddaec4567f59df | 11,354 | py | Python | robinhoodbot/main.py | bpk9/Robinhood-Stock-Trading-Bot | c2ab0dd58f5236ee051ad38277c8ba5c46bd0aa4 | [
"MIT"
] | null | null | null | robinhoodbot/main.py | bpk9/Robinhood-Stock-Trading-Bot | c2ab0dd58f5236ee051ad38277c8ba5c46bd0aa4 | [
"MIT"
] | null | null | null | robinhoodbot/main.py | bpk9/Robinhood-Stock-Trading-Bot | c2ab0dd58f5236ee051ad38277c8ba5c46bd0aa4 | [
"MIT"
] | null | null | null | import pyotp
import robin_stocks as r
import pandas as pd
import numpy as np
import ta as ta
from pandas.plotting import register_matplotlib_converters
from ta import *
from misc import *
from tradingstats import *
from config import *
#Log in to Robinhood
#Put your username and password in a config.py file in the sam... | 42.365672 | 201 | 0.656068 | 1,562 | 11,354 | 4.62484 | 0.211908 | 0.028239 | 0.011074 | 0.013566 | 0.332087 | 0.276993 | 0.238234 | 0.223284 | 0.181202 | 0.168605 | 0 | 0.009769 | 0.215607 | 11,354 | 267 | 202 | 42.524345 | 0.80137 | 0.353708 | 0 | 0.184211 | 0 | 0 | 0.127116 | 0.007604 | 0 | 0 | 0 | 0 | 0 | 1 | 0.085526 | false | 0.006579 | 0.065789 | 0.006579 | 0.230263 | 0.118421 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fd618c3a159e9f99d7c6ca6d044db4a500817e13 | 1,160 | py | Python | debug_toolbar/panels/profiling.py | chrismaille/fastapi-debug-toolbar | 76d1e78eda4a23fc2b3e3d3c978ee9d8dbf025ae | [
"BSD-3-Clause"
] | 36 | 2021-07-22T08:11:31.000Z | 2022-01-31T13:09:26.000Z | debug_toolbar/panels/profiling.py | chrismaille/fastapi-debug-toolbar | 76d1e78eda4a23fc2b3e3d3c978ee9d8dbf025ae | [
"BSD-3-Clause"
] | 10 | 2021-07-21T19:39:38.000Z | 2022-02-26T15:35:35.000Z | debug_toolbar/panels/profiling.py | chrismaille/fastapi-debug-toolbar | 76d1e78eda4a23fc2b3e3d3c978ee9d8dbf025ae | [
"BSD-3-Clause"
] | 2 | 2021-07-28T09:55:13.000Z | 2022-02-18T11:29:25.000Z | import typing as t
from fastapi import Request, Response
from pyinstrument import Profiler
from starlette.concurrency import run_in_threadpool
from debug_toolbar.panels import Panel
from debug_toolbar.types import Stats
from debug_toolbar.utils import is_coroutine, matched_endpoint
class ProfilingPanel(Panel):
... | 30.526316 | 82 | 0.70431 | 139 | 1,160 | 5.741007 | 0.395683 | 0.070175 | 0.06015 | 0.065163 | 0.077694 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.218103 | 1,160 | 37 | 83 | 31.351351 | 0.879824 | 0 | 0 | 0 | 0 | 0 | 0.031897 | 0.018103 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.269231 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fd63367d2463bae216c32c0f3162ba07be04c060 | 3,003 | py | Python | test/system/auto/simple/compaction.py | marciosilva/accumulo | 70404cbd1e0a2d2b7c2235009e158979abeef35f | [
"Apache-2.0"
] | 3 | 2021-11-11T05:18:23.000Z | 2021-11-11T05:18:43.000Z | test/system/auto/simple/compaction.py | jatrost/accumulo | 6be40f2f3711aaa7d0b68b5b6852b79304af3cff | [
"Apache-2.0"
] | 1 | 2021-06-22T09:52:37.000Z | 2021-06-22T09:52:37.000Z | test/system/auto/simple/compaction.py | isabella232/accumulo-1 | 70404cbd1e0a2d2b7c2235009e158979abeef35f | [
"Apache-2.0"
] | 1 | 2021-06-22T09:33:38.000Z | 2021-06-22T09:33:38.000Z | # Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use ... | 33.741573 | 109 | 0.656011 | 377 | 3,003 | 5.204244 | 0.461538 | 0.049949 | 0.033639 | 0.01631 | 0.115189 | 0.115189 | 0.115189 | 0.077472 | 0.077472 | 0.077472 | 0 | 0.014329 | 0.2331 | 3,003 | 88 | 110 | 34.125 | 0.837603 | 0.299034 | 0 | 0.075472 | 0 | 0.018868 | 0.226174 | 0.082079 | 0 | 0 | 0 | 0 | 0.09434 | 1 | 0.056604 | false | 0.018868 | 0.09434 | 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 |
b5b97c67425c6b42d928076e5a8d8cb8fc8a23c8 | 12,107 | py | Python | python/lexical_analysis.py | Compiler-Construction-Uni-Freiburg/lecture-notes-2021 | 56300e6649e32f0594bbbd046a2e19351c57dd0c | [
"BSD-3-Clause"
] | 1 | 2022-01-05T07:11:01.000Z | 2022-01-05T07:11:01.000Z | python/lexical_analysis.py | Compiler-Construction-Uni-Freiburg/lecture-notes-2021 | 56300e6649e32f0594bbbd046a2e19351c57dd0c | [
"BSD-3-Clause"
] | null | null | null | python/lexical_analysis.py | Compiler-Construction-Uni-Freiburg/lecture-notes-2021 | 56300e6649e32f0594bbbd046a2e19351c57dd0c | [
"BSD-3-Clause"
] | null | null | null | from dataclasses import dataclass
from functools import reduce
from typing import Callable, Iterable, Iterator
'''
The first phase of a compiler is called `lexical analysis` implemented by a `scanner` or `lexer`.
It breaks a program into a sequence `lexemes`:
meaningful substrings of the input.
It also transforms... | 32.810298 | 105 | 0.641943 | 1,712 | 12,107 | 4.468458 | 0.202103 | 0.008627 | 0.006797 | 0.013072 | 0.181961 | 0.120784 | 0.069542 | 0.059608 | 0.035033 | 0.025621 | 0 | 0.013235 | 0.22615 | 12,107 | 369 | 106 | 32.810298 | 0.798591 | 0.090278 | 0 | 0.258621 | 0 | 0 | 0.068941 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.112069 | false | 0.025862 | 0.012931 | 0.047414 | 0.439655 | 0.008621 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5bc0b82b561c3ccd0c214272db1e77e19243f08 | 4,003 | py | Python | rad/rest/client/cli/zpool/cmd_zpool_list.py | guillermomolina/rad-rest-client | c22528764bdf9dddc5ff7d269d7465d34878a7e3 | [
"Apache-2.0"
] | 1 | 2021-09-17T13:40:13.000Z | 2021-09-17T13:40:13.000Z | rad/rest/client/cli/zpool/cmd_zpool_list.py | guillermomolina/rad-rest-client | c22528764bdf9dddc5ff7d269d7465d34878a7e3 | [
"Apache-2.0"
] | null | null | null | rad/rest/client/cli/zpool/cmd_zpool_list.py | guillermomolina/rad-rest-client | c22528764bdf9dddc5ff7d269d7465d34878a7e3 | [
"Apache-2.0"
] | 1 | 2021-09-17T16:26:32.000Z | 2021-09-17T16:26:32.000Z | # Copyright 2021, Guillermo Adrián Molina
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... | 43.043011 | 105 | 0.572321 | 422 | 4,003 | 5.308057 | 0.395735 | 0.026786 | 0.019643 | 0.030357 | 0.160714 | 0.142857 | 0.142857 | 0.049107 | 0.049107 | 0.049107 | 0 | 0.004552 | 0.341494 | 4,003 | 92 | 106 | 43.51087 | 0.84522 | 0.142143 | 0 | 0.106061 | 0 | 0 | 0.114653 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030303 | false | 0 | 0.121212 | 0 | 0.19697 | 0.075758 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5bcf620df665e14fd0ade4b0917ffe41b1ea768 | 3,736 | py | Python | Sofware/main.py | Mark-MDO47/PiPod | 990042ff5ad69d9fc93d1bd5bd684db730156222 | [
"MIT"
] | 63 | 2018-08-02T20:50:41.000Z | 2022-03-02T02:42:48.000Z | Sofware/main.py | Mark-MDO47/PiPod | 990042ff5ad69d9fc93d1bd5bd684db730156222 | [
"MIT"
] | 2 | 2018-08-30T16:31:48.000Z | 2021-12-02T01:28:23.000Z | Sofware/main.py | Mark-MDO47/PiPod | 990042ff5ad69d9fc93d1bd5bd684db730156222 | [
"MIT"
] | 14 | 2018-08-05T04:45:07.000Z | 2022-02-18T10:56:20.000Z | #!/usr/bin/python3
import playback
import display
import navigation
import device
import pygame
done = False
music = playback.music()
view = display.view()
menu = navigation.menu()
PiPod = device.PiPod()
menu.loadMetadata()
status = PiPod.getStatus()
songMetadata = music.getStatus()
displayUpdate = pygame.USEREVENT ... | 34.592593 | 103 | 0.482869 | 334 | 3,736 | 5.374252 | 0.317365 | 0.093593 | 0.062396 | 0.066852 | 0.298607 | 0.179387 | 0.083565 | 0.083565 | 0.083565 | 0 | 0 | 0.007303 | 0.413544 | 3,736 | 107 | 104 | 34.915888 | 0.811958 | 0.05166 | 0 | 0.352273 | 0 | 0 | 0.069511 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.056818 | 0 | 0.056818 | 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 |
b5bdd10944be47a0eef70a2d5c3fc45fddcfaaf6 | 5,698 | py | Python | src/contentbase/auditor.py | ClinGen/clincoded | 5624c74546ce2a44eda00ee632a8de8c2099da10 | [
"MIT"
] | 30 | 2015-09-23T20:38:57.000Z | 2021-03-10T03:12:46.000Z | src/contentbase/auditor.py | ClinGen/clincoded | 5624c74546ce2a44eda00ee632a8de8c2099da10 | [
"MIT"
] | 2,132 | 2015-06-08T21:50:35.000Z | 2022-02-15T22:44:18.000Z | src/contentbase/auditor.py | ClinGen/clincoded | 5624c74546ce2a44eda00ee632a8de8c2099da10 | [
"MIT"
] | 10 | 2015-09-25T20:11:25.000Z | 2020-12-09T02:58:44.000Z | """ Cross-object data auditing
Schema validation allows for checking values within a single object.
We also need to perform higher order checking between linked objects.
"""
from past.builtins import basestring
import logging
import venusian
logger = logging.getLogger(__name__)
def includeme(config):
config.re... | 32.56 | 92 | 0.551071 | 584 | 5,698 | 5.207192 | 0.234589 | 0.023676 | 0.029596 | 0.039461 | 0.204209 | 0.186452 | 0.186452 | 0.146005 | 0.092733 | 0.092733 | 0 | 0.007754 | 0.343629 | 5,698 | 174 | 93 | 32.747126 | 0.805348 | 0.055985 | 0 | 0.123188 | 0 | 0 | 0.076363 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.07971 | false | 0 | 0.021739 | 0.007246 | 0.15942 | 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 |
b5cdf29e6b6b8257a8b1c9b388ba9bf3693defbc | 726 | py | Python | config.py | adesolagbenga0052/web-app | c6d6ca3f998897986ac25a1e93477af0a8bfacf6 | [
"Apache-2.0"
] | null | null | null | config.py | adesolagbenga0052/web-app | c6d6ca3f998897986ac25a1e93477af0a8bfacf6 | [
"Apache-2.0"
] | null | null | null | config.py | adesolagbenga0052/web-app | c6d6ca3f998897986ac25a1e93477af0a8bfacf6 | [
"Apache-2.0"
] | null | null | null | """Flask configuration."""
from os import environ, path
basedir = path.abspath(path.dirname(__file__))
class Config:
"""Base config."""
SECRET_KEY = "qsZ5srBF9-j3tgdMsd11hdbg2VLUyKQYqWFQ1EZyKI6PDVVTLXduxWoM1N0wESR0zFvSPFDs9ogpMjgl9wFxXw"
STATIC_FOLDER = 'static'
TEMPLATES_FOLDER = 'templates'... | 27.923077 | 106 | 0.698347 | 67 | 726 | 7.313433 | 0.58209 | 0.044898 | 0.057143 | 0.110204 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022648 | 0.209366 | 726 | 26 | 107 | 27.923077 | 0.83101 | 0.045455 | 0 | 0 | 0 | 0 | 0.24924 | 0.168693 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.055556 | 0 | 0.944444 | 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 |
b5d0213de62ed3ea48e3a10bf0cc5d6b41c2e553 | 5,979 | py | Python | djproject/pictureupload/views.py | missingDown/webForUpload | fbd5ed9e8cfcd4ad906913f4a31c24e87919f9a3 | [
"MIT"
] | null | null | null | djproject/pictureupload/views.py | missingDown/webForUpload | fbd5ed9e8cfcd4ad906913f4a31c24e87919f9a3 | [
"MIT"
] | null | null | null | djproject/pictureupload/views.py | missingDown/webForUpload | fbd5ed9e8cfcd4ad906913f4a31c24e87919f9a3 | [
"MIT"
] | null | null | null | from django.shortcuts import render
from django.http import HttpResponse
import logging
import json
import base64
import time
# Create your views here.
logger = logging.getLogger(__name__)
# 文件上传:form-data/Multipart方式 POST方法
def index(request):
sendfile = request.FILES.items()
haveFiles = False
for key,... | 38.082803 | 85 | 0.632882 | 648 | 5,979 | 5.79784 | 0.239198 | 0.061485 | 0.117115 | 0.143732 | 0.566676 | 0.566676 | 0.539792 | 0.539792 | 0.520096 | 0.425872 | 0 | 0.025232 | 0.224452 | 5,979 | 157 | 86 | 38.082803 | 0.78499 | 0.078608 | 0 | 0.418182 | 0 | 0 | 0.209798 | 0.025496 | 0 | 0 | 0 | 0 | 0 | 1 | 0.036364 | false | 0 | 0.054545 | 0 | 0.281818 | 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 |
b5d0c034f7242aa14fa3baca13d703e86f187f17 | 276 | py | Python | torrents/tests/test_file.py | noahgoldman/torwiz | 213be5cf3b62d2c18c09e2fe4b869c549c263f32 | [
"MIT"
] | 1 | 2015-03-09T01:58:23.000Z | 2015-03-09T01:58:23.000Z | torrents/tests/test_file.py | noahgoldman/torwiz | 213be5cf3b62d2c18c09e2fe4b869c549c263f32 | [
"MIT"
] | 3 | 2015-04-01T22:49:58.000Z | 2015-05-01T19:09:11.000Z | torrents/tests/test_file.py | noahgoldman/torwiz | 213be5cf3b62d2c18c09e2fe4b869c549c263f32 | [
"MIT"
] | null | null | null | from bson.objectid import ObjectId
from torrents.file import TorrentFile
class TestTorrentFile:
def test_get_output_file(self):
id1 = ObjectId()
file1 = TorrentFile(id1)
assert file1.get_output_file() == 'torrent_files/' + str(id1) + '.torrent'
| 25.090909 | 82 | 0.695652 | 33 | 276 | 5.636364 | 0.606061 | 0.096774 | 0.139785 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022831 | 0.206522 | 276 | 10 | 83 | 27.6 | 0.826484 | 0 | 0 | 0 | 0 | 0 | 0.07971 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 1 | 0.142857 | false | 0 | 0.285714 | 0 | 0.571429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5d13876f65729d4efb83ad2b61955efd49a0d23 | 2,444 | py | Python | google/cloud/storage/benchmarks/storage_throughput_plots.py | millerantonio810/google-cloud-cpp | 71582d922bc22b0dcbc58234f36c726ea3b7c171 | [
"Apache-2.0"
] | 1 | 2021-01-16T02:43:50.000Z | 2021-01-16T02:43:50.000Z | google/cloud/storage/benchmarks/storage_throughput_plots.py | millerantonio810/google-cloud-cpp | 71582d922bc22b0dcbc58234f36c726ea3b7c171 | [
"Apache-2.0"
] | null | null | null | google/cloud/storage/benchmarks/storage_throughput_plots.py | millerantonio810/google-cloud-cpp | 71582d922bc22b0dcbc58234f36c726ea3b7c171 | [
"Apache-2.0"
] | 1 | 2020-05-09T20:12:05.000Z | 2020-05-09T20:12:05.000Z | #!/usr/bin/env python3
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | 26.857143 | 86 | 0.657529 | 347 | 2,444 | 4.556196 | 0.495677 | 0.037951 | 0.011385 | 0.02024 | 0.024035 | 0.024035 | 0 | 0 | 0 | 0 | 0 | 0.021619 | 0.18617 | 2,444 | 90 | 87 | 27.155556 | 0.773253 | 0.296236 | 0 | 0.041667 | 0 | 0 | 0.211744 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.083333 | 0 | 0.145833 | 0.125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5d2438e72ede4149becee229525d2ab304971e9 | 939 | py | Python | vietocr/train.py | lzmisscc/vietocr | df0d9a53e714d08d6b0b4ee52ab46fbc0b991bf3 | [
"Apache-2.0"
] | null | null | null | vietocr/train.py | lzmisscc/vietocr | df0d9a53e714d08d6b0b4ee52ab46fbc0b991bf3 | [
"Apache-2.0"
] | null | null | null | vietocr/train.py | lzmisscc/vietocr | df0d9a53e714d08d6b0b4ee52ab46fbc0b991bf3 | [
"Apache-2.0"
] | null | null | null | import argparse
import logging
from vietocr.model.trainer import Trainer
from vietocr.tool.config import Cfg
import sys
sys.path.insert(0, './')
from char import character
logging.basicConfig(level=logging.INFO, )
def main():
parser = argparse.ArgumentParser()
parser.add_argument('config', help='see example at ... | 28.454545 | 68 | 0.707135 | 115 | 939 | 5.591304 | 0.4 | 0.062208 | 0.052877 | 0.052877 | 0.065319 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001282 | 0.169329 | 939 | 32 | 69 | 29.34375 | 0.823077 | 0.184239 | 0 | 0 | 0 | 0 | 0.102497 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.272727 | 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 |
b5d4e05a5e5fe08d9de941f7f2c1980a53f27d2a | 598 | py | Python | Plug-and-play module/SematicEmbbedBlock.py | riciche/SimpleCVReproduction | 4075de39f9c61f1359668a413f6a5d98903fcf97 | [
"Apache-2.0"
] | 923 | 2020-01-11T06:36:53.000Z | 2022-03-31T00:26:57.000Z | Plug-and-play module/SematicEmbbedBlock.py | riciche/SimpleCVReproduction | 4075de39f9c61f1359668a413f6a5d98903fcf97 | [
"Apache-2.0"
] | 25 | 2020-02-27T08:35:46.000Z | 2022-01-25T08:54:19.000Z | Plug-and-play module/SematicEmbbedBlock.py | riciche/SimpleCVReproduction | 4075de39f9c61f1359668a413f6a5d98903fcf97 | [
"Apache-2.0"
] | 262 | 2020-01-02T02:19:40.000Z | 2022-03-23T04:56:16.000Z | import torch.nn as nn
"""
https://zhuanlan.zhihu.com/p/76378871
arxiv: 1804.03821
ExFuse
"""
class SematicEmbbedBlock(nn.Module):
def __init__(self, high_in_plane, low_in_plane, out_plane):
super(SematicEmbbedBlock, self).__init__()
self.conv3x3 = nn.Conv2d(high_in_plane, out_plane, 3, 1, 1)
... | 29.9 | 67 | 0.688963 | 89 | 598 | 4.314607 | 0.438202 | 0.072917 | 0.078125 | 0.117188 | 0.09375 | 0 | 0 | 0 | 0 | 0 | 0 | 0.068323 | 0.192308 | 598 | 20 | 68 | 29.9 | 0.726708 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0.090909 | 0 | 0.454545 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5d85732ed11a9abee1adac3c37bfb5f5d7fe0c2 | 9,874 | py | Python | nslsii/__init__.py | ke-zhang-rd/nslsii | d3f942cda8eac713ac625dbcf4285e108c04f154 | [
"BSD-3-Clause"
] | null | null | null | nslsii/__init__.py | ke-zhang-rd/nslsii | d3f942cda8eac713ac625dbcf4285e108c04f154 | [
"BSD-3-Clause"
] | null | null | null | nslsii/__init__.py | ke-zhang-rd/nslsii | d3f942cda8eac713ac625dbcf4285e108c04f154 | [
"BSD-3-Clause"
] | null | null | null | from IPython import get_ipython
from ._version import get_versions
__version__ = get_versions()['version']
del get_versions
def import_star(module, ns):
def public(name):
return not name.startswith('_')
ns.update({name: getattr(module, name)
for name in dir(module) if public(name)})
d... | 34.404181 | 79 | 0.645331 | 1,272 | 9,874 | 4.908805 | 0.284591 | 0.016336 | 0.0213 | 0.023543 | 0.110026 | 0.10394 | 0.098975 | 0.098975 | 0.090006 | 0.049648 | 0 | 0.000557 | 0.272635 | 9,874 | 286 | 80 | 34.524476 | 0.868839 | 0.480758 | 0 | 0.102362 | 0 | 0 | 0.045007 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047244 | false | 0 | 0.275591 | 0.007874 | 0.346457 | 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 |
b5d915f6cc267b773bbe24b2332fae333a3982c5 | 714 | py | Python | fake.py | Wsky51/dfs-node-restapi | bab7605c609d4b53cd11686a576b74c1ae2871b7 | [
"Apache-2.0"
] | null | null | null | fake.py | Wsky51/dfs-node-restapi | bab7605c609d4b53cd11686a576b74c1ae2871b7 | [
"Apache-2.0"
] | null | null | null | fake.py | Wsky51/dfs-node-restapi | bab7605c609d4b53cd11686a576b74c1ae2871b7 | [
"Apache-2.0"
] | null | null | null | """create fake data to the db file"""
from config import data_nodes, get_db
from type import DataNodeStatus, DataNode
from datetime import timedelta
from config import get_second_datetime
def create_fake_data_status(data_node: DataNode):
now = get_second_datetime()
db = get_db()
for i in range(100):
... | 24.62069 | 49 | 0.648459 | 96 | 714 | 4.5 | 0.427083 | 0.115741 | 0.162037 | 0.078704 | 0.12963 | 0.12963 | 0 | 0 | 0 | 0 | 0 | 0.026718 | 0.266106 | 714 | 28 | 50 | 25.5 | 0.79771 | 0.056022 | 0 | 0 | 0 | 0 | 0.011976 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.2 | 0 | 0.3 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5db0b0b72cf05ff56cc67988018bcfa4797221d | 371 | py | Python | tests/pull_keys.py | patleeman/geckoboard_push | 52c05db22b3c630d326a9650551720f583f0168f | [
"MIT"
] | null | null | null | tests/pull_keys.py | patleeman/geckoboard_push | 52c05db22b3c630d326a9650551720f583f0168f | [
"MIT"
] | null | null | null | tests/pull_keys.py | patleeman/geckoboard_push | 52c05db22b3c630d326a9650551720f583f0168f | [
"MIT"
] | null | null | null | '''
Module to pull keys from test geckoboard widgets.
'''
import os
import json
def get_keys():
settings_folder = os.path.dirname(__file__)
settings_file = os.path.join(settings_folder,'gecko_settings.json')
with open(settings_file, 'r') as file:
json_data = json.load(file)
return json_dat... | 23.1875 | 71 | 0.692722 | 52 | 371 | 4.538462 | 0.596154 | 0.059322 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.191375 | 371 | 16 | 72 | 23.1875 | 0.786667 | 0.132075 | 0 | 0 | 0 | 0 | 0.088889 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.2 | 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 |
b5db74f8420d00fdc906f19f599f41aad18c69af | 2,596 | py | Python | pajbot/web/common/menu.py | JoachimFlottorp/pajbot | 4fb88c403dedb20d95be80e38da72be1ed064901 | [
"MIT"
] | 128 | 2015-12-28T01:02:30.000Z | 2019-05-24T21:20:50.000Z | pajbot/web/common/menu.py | JoachimFlottorp/pajbot | 4fb88c403dedb20d95be80e38da72be1ed064901 | [
"MIT"
] | 277 | 2015-05-03T18:48:57.000Z | 2019-05-23T17:41:28.000Z | pajbot/web/common/menu.py | JoachimFlottorp/pajbot | 4fb88c403dedb20d95be80e38da72be1ed064901 | [
"MIT"
] | 96 | 2015-08-07T18:49:50.000Z | 2019-05-20T19:49:27.000Z | from __future__ import annotations
from typing import Any, Dict, List, Union
import logging
from pajbot.web.utils import get_cached_enabled_modules
log = logging.getLogger(__name__)
class MenuItem:
def __init__(
self,
href: Union[str, List[MenuItem]],
menu_id: str,
caption: str... | 35.081081 | 108 | 0.571649 | 254 | 2,596 | 5.633858 | 0.330709 | 0.090846 | 0.044724 | 0.050314 | 0.16492 | 0.16492 | 0.11181 | 0.062893 | 0 | 0 | 0 | 0.001644 | 0.296995 | 2,596 | 73 | 109 | 35.561644 | 0.782466 | 0.038521 | 0 | 0.033898 | 0 | 0 | 0.265142 | 0.034497 | 0 | 0 | 0 | 0 | 0 | 1 | 0.050847 | false | 0 | 0.067797 | 0 | 0.152542 | 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 |
b5db8ac1529ed13c3cad056d88e711f36bbfbbe1 | 611 | py | Python | Python/463.py | FlyAndNotDown/LeetCode | 889819ff7f64819e966fc6f9dd80110cf2bf6d3c | [
"MIT"
] | 4 | 2018-06-18T05:39:25.000Z | 2022-01-04T07:35:52.000Z | Python/463.py | FlyAndNotDown/LeetCode | 889819ff7f64819e966fc6f9dd80110cf2bf6d3c | [
"MIT"
] | 20 | 2019-11-30T03:42:40.000Z | 2020-05-17T03:25:43.000Z | Python/463.py | FlyAndNotDown/LeetCode | 889819ff7f64819e966fc6f9dd80110cf2bf6d3c | [
"MIT"
] | 2 | 2020-02-08T14:10:42.000Z | 2021-09-23T13:51:36.000Z | """
@no 463
@name Island Perimeter
"""
class Solution:
def islandPerimeter(self, grid):
"""
:type grid: List[List[int]]
:rtype: int
"""
ans = 0
for i in range(len(grid)):
for j in range(len(grid[i])):
if grid[i][j] == 1:
... | 30.55 | 80 | 0.392799 | 93 | 611 | 2.580645 | 0.290323 | 0.145833 | 0.116667 | 0.0875 | 0.2875 | 0.275 | 0.25 | 0.25 | 0.133333 | 0 | 0 | 0.072886 | 0.438625 | 611 | 19 | 81 | 32.157895 | 0.626822 | 0.114566 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0 | 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 |
b5dde242388a3c0b90abd4420143d4c4d72acbeb | 914 | py | Python | docker_retag/utils/auth_helper.py | aiopsclub/docker_retag | 0019917b0cdd7860c7ff79afdb78101878f5c1b1 | [
"MIT"
] | null | null | null | docker_retag/utils/auth_helper.py | aiopsclub/docker_retag | 0019917b0cdd7860c7ff79afdb78101878f5c1b1 | [
"MIT"
] | null | null | null | docker_retag/utils/auth_helper.py | aiopsclub/docker_retag | 0019917b0cdd7860c7ff79afdb78101878f5c1b1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import requests
def kv2dict(kvinfo):
kv = {}
for item in kvinfo.split(","):
item_list = item.split("=")
kv[item_list[0]] = item_list[1].strip('"')
return kv
def get_service_realm(registry_url):
registry_api_url = (
registry_url if registry_url.endswith("... | 26.114286 | 80 | 0.682713 | 120 | 914 | 4.916667 | 0.391667 | 0.149153 | 0.094915 | 0.074576 | 0.379661 | 0.379661 | 0.379661 | 0.379661 | 0.379661 | 0.379661 | 0 | 0.016238 | 0.191466 | 914 | 34 | 81 | 26.882353 | 0.782138 | 0.021882 | 0 | 0.25 | 0 | 0 | 0.06495 | 0.025756 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.041667 | 0.041667 | 0.416667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5de2f232c7693a7a9e178d8efeaacaaaf172cb4 | 1,081 | py | Python | app/__init__.py | SomeoneLixin/api-dock | 3958a3a3286ae7f8802df9aba5ece2908ca4361e | [
"MIT"
] | 4 | 2018-05-07T15:39:17.000Z | 2019-07-03T21:28:10.000Z | app/__init__.py | SomeoneLixin/api-dock | 3958a3a3286ae7f8802df9aba5ece2908ca4361e | [
"MIT"
] | 4 | 2020-09-05T10:57:19.000Z | 2021-05-09T16:01:22.000Z | app/__init__.py | SomeoneLixin/api-dock | 3958a3a3286ae7f8802df9aba5ece2908ca4361e | [
"MIT"
] | 1 | 2018-05-09T07:57:03.000Z | 2018-05-09T07:57:03.000Z | from flask import Flask, g
from flask_cors import CORS
from flask_jwt_extended import JWTManager
from config import config
from app.models import db, ma
from app.models.RevokedToken import RevokedToken
def create_app(config_name):
app = Flask(__name__)
CORS(app, resources={r"/api/*": {"origins": "*"}})
ap... | 29.216216 | 80 | 0.719704 | 148 | 1,081 | 5 | 0.398649 | 0.072973 | 0.040541 | 0.056757 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.174838 | 1,081 | 36 | 81 | 30.027778 | 0.829596 | 0 | 0 | 0 | 0 | 0 | 0.167438 | 0.07123 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107143 | false | 0 | 0.25 | 0.035714 | 0.464286 | 0.071429 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5df02ad3bc4934c674cd77a38e8acef0d4d0b9f | 730 | py | Python | Snippets/auto_scroll.py | ColinShark/Pyrogram-Snippets | 50ede9ca9206bd6d66c6877217b4a80b4f845294 | [
"WTFPL"
] | 59 | 2021-01-07T16:19:48.000Z | 2022-02-22T06:56:36.000Z | Snippets/auto_scroll.py | Mrvishal2k2/Pyrogram-Snippets | d4e66876f6aff1252dfb88423fedd66e18057446 | [
"WTFPL"
] | 4 | 2019-10-14T14:02:38.000Z | 2020-11-06T11:47:03.000Z | Snippets/auto_scroll.py | ColinShark/Pyrogram-Snippets | 50ede9ca9206bd6d66c6877217b4a80b4f845294 | [
"WTFPL"
] | 26 | 2021-03-02T14:31:51.000Z | 2022-03-23T21:19:14.000Z | # Send .autoscroll in any chat to automatically read all sent messages until you call
# .autoscroll again. This is useful if you have Telegram open on another screen.
from pyrogram import Client, filters
from pyrogram.types import Message
app = Client("my_account")
f = filters.chat([])
@app.on_message(f)
def auto_... | 25.172414 | 85 | 0.710959 | 102 | 730 | 5 | 0.509804 | 0.086275 | 0.101961 | 0.117647 | 0.133333 | 0.133333 | 0 | 0 | 0 | 0 | 0 | 0 | 0.175342 | 730 | 28 | 86 | 26.071429 | 0.847176 | 0.221918 | 0 | 0 | 0 | 0 | 0.111504 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.117647 | 0 | 0.235294 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5e13346685449cfbebc7876faf4f41723fbe5c9 | 2,977 | py | Python | _demos/paint.py | imdaveho/intermezzo | 3fe4824a747face996e301ca5190caec0cb0a6fd | [
"MIT"
] | 8 | 2018-02-26T16:24:07.000Z | 2021-06-30T07:40:52.000Z | _demos/paint.py | imdaveho/intermezzo | 3fe4824a747face996e301ca5190caec0cb0a6fd | [
"MIT"
] | null | null | null | _demos/paint.py | imdaveho/intermezzo | 3fe4824a747face996e301ca5190caec0cb0a6fd | [
"MIT"
] | null | null | null | from intermezzo import Intermezzo as mzo
curCol = [0]
curRune = [0]
backbuf = []
bbw, bbh = 0, 0
runes = [' ', '░', '▒', '▓', '█']
colors = [
mzo.color("Black"),
mzo.color("Red"),
mzo.color("Green"),
mzo.color("Yellow"),
mzo.color("Blue"),
mzo.color("Magenta"),
mzo.color("Cyan"),
mzo.c... | 29.186275 | 88 | 0.518979 | 459 | 2,977 | 3.285403 | 0.220044 | 0.079576 | 0.079576 | 0.095491 | 0.312334 | 0.253979 | 0.167109 | 0.167109 | 0.125995 | 0.027851 | 0 | 0.024079 | 0.288546 | 2,977 | 101 | 89 | 29.475248 | 0.686025 | 0 | 0 | 0.113636 | 0 | 0 | 0.063151 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068182 | false | 0 | 0.011364 | 0 | 0.102273 | 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 |
b5e16df4333ead8fee7050f33874cfa2a8d52eb0 | 1,896 | py | Python | amt/media_reader_cli.py | lsxta/amt | 7dcff9b1ce570abe103d0d8c50fd334f2c93af7d | [
"MIT"
] | 5 | 2021-12-22T08:49:23.000Z | 2022-02-22T12:38:40.000Z | amt/media_reader_cli.py | lsxta/amt | 7dcff9b1ce570abe103d0d8c50fd334f2c93af7d | [
"MIT"
] | 1 | 2022-01-30T00:51:05.000Z | 2022-02-03T04:59:42.000Z | amt/media_reader_cli.py | lsxta/amt | 7dcff9b1ce570abe103d0d8c50fd334f2c93af7d | [
"MIT"
] | 1 | 2022-01-29T09:38:16.000Z | 2022-01-29T09:38:16.000Z | import logging
from .media_reader import MediaReader
from .util.media_type import MediaType
class MediaReaderCLI(MediaReader):
auto_select = False
def print_results(self, results):
for i, media_data in enumerate(results):
print("{:4}| {}\t{} {} ({})".format(i, media_data.global_id, media... | 38.693878 | 188 | 0.642405 | 252 | 1,896 | 4.615079 | 0.353175 | 0.046432 | 0.027515 | 0.030954 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002105 | 0.248418 | 1,896 | 48 | 189 | 39.5 | 0.814035 | 0 | 0 | 0 | 0 | 0 | 0.070675 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.157895 | false | 0 | 0.078947 | 0 | 0.368421 | 0.289474 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5e250ffeccc9fb9e0d710d9d521ebecc7097405 | 1,272 | py | Python | src/webapi/libs/deps/__init__.py | VisionTale/StreamHelper | 29a5e5d5c68401f2c1d1b9cf54a7c68fb41d623a | [
"MIT"
] | null | null | null | src/webapi/libs/deps/__init__.py | VisionTale/StreamHelper | 29a5e5d5c68401f2c1d1b9cf54a7c68fb41d623a | [
"MIT"
] | 37 | 2020-12-16T06:30:22.000Z | 2022-03-28T03:04:28.000Z | src/webapi/libs/deps/__init__.py | VisionTale/StreamHelper | 29a5e5d5c68401f2c1d1b9cf54a7c68fb41d623a | [
"MIT"
] | null | null | null | """
Dependency management package.
"""
def debug_print(message: str, verbose: bool):
"""
Print if verbose is set to true.
:param message: message to print
:param verbose: whether to print
:return:
"""
if verbose:
print(message)
def download_and_unzip_archive(url: str, zip_file_f... | 30.285714 | 122 | 0.677673 | 171 | 1,272 | 4.912281 | 0.368421 | 0.058333 | 0.053571 | 0.05 | 0.061905 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.227201 | 1,272 | 41 | 123 | 31.02439 | 0.854527 | 0.416667 | 0 | 0 | 0 | 0 | 0.073353 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.176471 | 0 | 0.294118 | 0.294118 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5e50a13752cec91e8412a4602fb057eaceaa6b0 | 1,113 | py | Python | demos/runner/validate.py | Tanbobobo/DL-starter | be4678171bd51ae9e4f61079fa6422e3378d7ce4 | [
"Apache-2.0"
] | null | null | null | demos/runner/validate.py | Tanbobobo/DL-starter | be4678171bd51ae9e4f61079fa6422e3378d7ce4 | [
"Apache-2.0"
] | null | null | null | demos/runner/validate.py | Tanbobobo/DL-starter | be4678171bd51ae9e4f61079fa6422e3378d7ce4 | [
"Apache-2.0"
] | null | null | null | import torch
import wandb
def val(
criterion=None,
metric=None,
loader=None,
model=None,
device=None
):
r'''
Args:
criterion: a differentiable function to provide gratitude for backward
metric: a score to save best model
loader: a ... | 27.146341 | 98 | 0.574124 | 135 | 1,113 | 4.607407 | 0.42963 | 0.115756 | 0.104502 | 0.054662 | 0.12701 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001377 | 0.347709 | 1,113 | 40 | 99 | 27.825 | 0.855372 | 0.281222 | 0 | 0 | 0 | 0 | 0.018207 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.08 | 0 | 0.16 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5e76e091ee3230443db9902e3df57b4dbeb04c4 | 4,428 | py | Python | plot_fig07e_varying.py | victorcroisfelt/cf-ra-spatial-separability | 60611c85079dd13848c70e3192331ea2a9f55138 | [
"MIT"
] | null | null | null | plot_fig07e_varying.py | victorcroisfelt/cf-ra-spatial-separability | 60611c85079dd13848c70e3192331ea2a9f55138 | [
"MIT"
] | null | null | null | plot_fig07e_varying.py | victorcroisfelt/cf-ra-spatial-separability | 60611c85079dd13848c70e3192331ea2a9f55138 | [
"MIT"
] | 2 | 2022-01-08T12:18:43.000Z | 2022-02-23T07:59:18.000Z | ########################################
# plot_fig07d_anaa_practical.py
#
# Description. Script used to actually plot Fig. 07 (d) of the paper.
#
# Author. @victorcroisfelt
#
# Date. December 29, 2021
#
# This code is part of the code package used to generate the numeric results
# of the paper:
#
# Crois... | 30.537931 | 124 | 0.630759 | 676 | 4,428 | 3.964497 | 0.284024 | 0.047015 | 0.049627 | 0.080597 | 0.428731 | 0.384701 | 0.384701 | 0.375746 | 0.375373 | 0.356716 | 0 | 0.050973 | 0.118338 | 4,428 | 144 | 125 | 30.75 | 0.635502 | 0.200316 | 0 | 0.20339 | 0 | 0 | 0.114079 | 0.027341 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033898 | false | 0 | 0.067797 | 0.033898 | 0.135593 | 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 |
b5e97f4578877e1fcf5bd928b8d18930e062681c | 6,697 | py | Python | Meters/IEC/Datasets/get_time.py | Runamook/PyCharmProjects | 1b1a063345e052451f00e3fdea82e31bdd2a0cae | [
"MIT"
] | null | null | null | Meters/IEC/Datasets/get_time.py | Runamook/PyCharmProjects | 1b1a063345e052451f00e3fdea82e31bdd2a0cae | [
"MIT"
] | null | null | null | Meters/IEC/Datasets/get_time.py | Runamook/PyCharmProjects | 1b1a063345e052451f00e3fdea82e31bdd2a0cae | [
"MIT"
] | null | null | null | import datetime
from time import sleep
import re
import pytz
# try:
# from .emhmeter import MeterBase, create_input_vars, logger
# except ModuleNotFoundError:
# from emhmeter import MeterBase, create_input_vars, logger
# TODO: Not working
class GetTime:
def __init__(self, input_vars):
self.inpu... | 31.441315 | 102 | 0.551441 | 797 | 6,697 | 4.486826 | 0.269762 | 0.060403 | 0.040268 | 0.027964 | 0.198546 | 0.14038 | 0.095638 | 0.049217 | 0 | 0 | 0 | 0.047568 | 0.303121 | 6,697 | 212 | 103 | 31.589623 | 0.718663 | 0.124683 | 0 | 0.176871 | 0 | 0 | 0.168437 | 0.007197 | 0 | 0 | 0 | 0.004717 | 0 | 1 | 0.061224 | false | 0 | 0.027211 | 0 | 0.156463 | 0.006803 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5ea1cb63e2208d12c4791c91ece989cd820bf44 | 3,889 | py | Python | instagrapi/direct.py | chaulaode1257/instagrapi | cfb8cb53d3a63092c0146f3a0b7a086c760908c9 | [
"MIT"
] | 11 | 2021-01-09T22:52:30.000Z | 2022-03-22T18:33:38.000Z | instagrapi/direct.py | chaulaode1257/instagrapi | cfb8cb53d3a63092c0146f3a0b7a086c760908c9 | [
"MIT"
] | null | null | null | instagrapi/direct.py | chaulaode1257/instagrapi | cfb8cb53d3a63092c0146f3a0b7a086c760908c9 | [
"MIT"
] | 4 | 2020-12-26T06:14:53.000Z | 2022-01-05T05:00:16.000Z | import re
from typing import List
from .utils import dumps
from .types import DirectThread, DirectMessage
from .exceptions import ClientNotFoundError, DirectThreadNotFound
from .extractors import extract_direct_thread, extract_direct_message
class Direct:
def direct_threads(self, amount: int = 20) -> List[Direc... | 35.678899 | 108 | 0.558498 | 411 | 3,889 | 5.121655 | 0.272506 | 0.030404 | 0.033254 | 0.038005 | 0.27886 | 0.266508 | 0.236105 | 0.178147 | 0.178147 | 0.098812 | 0 | 0.009916 | 0.325791 | 3,889 | 108 | 109 | 36.009259 | 0.792906 | 0.044484 | 0 | 0.255556 | 0 | 0 | 0.133875 | 0.036856 | 0 | 0 | 0 | 0 | 0.055556 | 1 | 0.055556 | false | 0 | 0.066667 | 0 | 0.188889 | 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 |
b5eee5ae8e8ac24bba961d0d4420546bd6f06e1d | 26,090 | py | Python | src/main/python/cybercaptain/visualization/bar.py | FHNW-CyberCaptain/CyberCaptain | 07c989190e997353fbf57eb7a386947d6ab8ffd5 | [
"MIT"
] | 1 | 2018-10-01T10:59:55.000Z | 2018-10-01T10:59:55.000Z | src/main/python/cybercaptain/visualization/bar.py | FHNW-CyberCaptain/CyberCaptain | 07c989190e997353fbf57eb7a386947d6ab8ffd5 | [
"MIT"
] | null | null | null | src/main/python/cybercaptain/visualization/bar.py | FHNW-CyberCaptain/CyberCaptain | 07c989190e997353fbf57eb7a386947d6ab8ffd5 | [
"MIT"
] | 1 | 2021-11-01T00:09:00.000Z | 2021-11-01T00:09:00.000Z | """
This module contains the visualization bar class.
"""
import glob
import os
import re
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.colors as colors
import matplotlib.cm as cmx
from mpl_toolkits.mplot3d import Axes3D
from matplotlib.ticker import FuncFormatter
from cybercaptain.utils.exceptio... | 41.086614 | 175 | 0.617555 | 3,290 | 26,090 | 4.761094 | 0.128875 | 0.022983 | 0.013023 | 0.013343 | 0.476251 | 0.448481 | 0.417582 | 0.403601 | 0.363445 | 0.331333 | 0 | 0.00825 | 0.279877 | 26,090 | 635 | 176 | 41.086614 | 0.825474 | 0.305979 | 0 | 0.452096 | 0 | 0 | 0.109569 | 0.003581 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035928 | false | 0 | 0.038922 | 0 | 0.128743 | 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 |