hexsha stringlengths 40 40 | size int64 6 782k | ext stringclasses 7
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 4 237 | max_stars_repo_name stringlengths 6 72 | max_stars_repo_head_hexsha stringlengths 40 40 | max_stars_repo_licenses list | max_stars_count int64 1 53k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 4 184 | max_issues_repo_name stringlengths 6 72 | max_issues_repo_head_hexsha stringlengths 40 40 | max_issues_repo_licenses list | max_issues_count int64 1 27.1k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 4 184 | max_forks_repo_name stringlengths 6 72 | max_forks_repo_head_hexsha stringlengths 40 40 | max_forks_repo_licenses list | max_forks_count int64 1 12.2k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 6 782k | avg_line_length float64 2.75 664k | max_line_length int64 5 782k | alphanum_fraction float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9d82c9cb5024f9c9cf0bd3159b46b6ac35fd02c1 | 1,144 | py | Python | src/preprocessing/CannyFilter.py | florianletsch/kinect-juggling | f320cc0b55adf65d338d25986a03106a7e3f46ef | [
"Unlicense",
"MIT"
] | 7 | 2015-11-27T09:53:32.000Z | 2021-01-13T17:35:54.000Z | src/preprocessing/CannyFilter.py | florianletsch/kinect-juggling | f320cc0b55adf65d338d25986a03106a7e3f46ef | [
"Unlicense",
"MIT"
] | null | null | null | src/preprocessing/CannyFilter.py | florianletsch/kinect-juggling | f320cc0b55adf65d338d25986a03106a7e3f46ef | [
"Unlicense",
"MIT"
] | null | null | null | import numpy as np
import cv, cv2
try:
import vigra as vi
except Exception, e:
pass
class CannyFilter(object):
# def filter(self, rgb, depth, args = {}):
# img = cv.fromarray(depth, cv.CV_8UC1)
# mat1 = cv.CreateMat(img.rows, img.cols, cv.CV_8UC1)
# mat2 = cv.CreateMa... | 27.902439 | 62 | 0.592657 |
9de8548126c0bb0004bd92da17ad48b3fbc94ad4 | 74 | py | Python | pythonProj/FZPython/pyquant/libs/__init__.py | iHamburg/FZQuant | 86b750ec33d01badfd3f324d6f1599118b9bf8ff | [
"MIT"
] | null | null | null | pythonProj/FZPython/pyquant/libs/__init__.py | iHamburg/FZQuant | 86b750ec33d01badfd3f324d6f1599118b9bf8ff | [
"MIT"
] | null | null | null | pythonProj/FZPython/pyquant/libs/__init__.py | iHamburg/FZQuant | 86b750ec33d01badfd3f324d6f1599118b9bf8ff | [
"MIT"
] | 2 | 2019-04-10T10:05:00.000Z | 2021-11-24T17:17:23.000Z | # coding: utf8
# from .loglib import logger
# from .socketioclient import | 18.5 | 29 | 0.756757 |
ae65f90e332bf1f2c4e825ef0bd9ca41429699ca | 1,727 | py | Python | data.py | asfer/mnist_sandbox | 69be6d623e948afdf92a3ca4c7ce77f93eafc0a8 | [
"MIT"
] | null | null | null | data.py | asfer/mnist_sandbox | 69be6d623e948afdf92a3ca4c7ce77f93eafc0a8 | [
"MIT"
] | null | null | null | data.py | asfer/mnist_sandbox | 69be6d623e948afdf92a3ca4c7ce77f93eafc0a8 | [
"MIT"
] | null | null | null | import array
import struct
import numpy as np
from PIL import Image
class MNIST:
""" MNIST dataset is composed of digit images of size 28x28 and its labels """
def __init__(self, data_dir):
self.train_data, self.train_labels = self.parse_images(data_dir + '/train-images-idx3-ubyte'), \
... | 34.54 | 105 | 0.588303 |
c9ba834056a8519b7c1744c6f2bf6724bc877345 | 61 | py | Python | ex1/evento.py | renzon/oo-inpe | 1b33939974f998badbeebd7bfe182070e77ef98f | [
"MIT"
] | null | null | null | ex1/evento.py | renzon/oo-inpe | 1b33939974f998badbeebd7bfe182070e77ef98f | [
"MIT"
] | null | null | null | ex1/evento.py | renzon/oo-inpe | 1b33939974f998badbeebd7bfe182070e77ef98f | [
"MIT"
] | null | null | null | class Evento():
def __init__(self, s):
self.s = s | 20.333333 | 26 | 0.540984 |
01165dc10d67af40d30bb37cc14258aed30e386a | 1,766 | py | Python | rc4.py | gamegrd/YY | 39fca68d11956508fdbc094c9c319b7a7082722f | [
"Apache-2.0"
] | 9 | 2016-10-17T04:57:47.000Z | 2021-03-08T15:50:03.000Z | rc4.py | SkyblueMr/YY | 39fca68d11956508fdbc094c9c319b7a7082722f | [
"Apache-2.0"
] | 1 | 2017-10-13T09:27:34.000Z | 2017-10-13T09:27:34.000Z | rc4.py | SkyblueMr/YY | 39fca68d11956508fdbc094c9c319b7a7082722f | [
"Apache-2.0"
] | 6 | 2017-06-07T01:27:42.000Z | 2020-02-10T04:08:51.000Z | import binascii
import hexdump
class RC4:
def __init__(self, key = ""):
if key:
self._rc4_init(key)
def _rc4_init(self, key):
(self.x,self.y) = (0,0)
key_len = len(key)
if key_len > 256 or key_len < 1:
raise IndexError, 'Invalid key length' + key_len
self... | 40.136364 | 235 | 0.656285 |
6d7bc5844acf310633bdacd59548fe19e1e887dd | 28,982 | py | Python | qdviewer/QDViewer.py | FlorianTimm/quer2qgis | 4ff6542fa9d26e4e37170b3437408f00547b7efd | [
"MIT"
] | null | null | null | qdviewer/QDViewer.py | FlorianTimm/quer2qgis | 4ff6542fa9d26e4e37170b3437408f00547b7efd | [
"MIT"
] | null | null | null | qdviewer/QDViewer.py | FlorianTimm/quer2qgis | 4ff6542fa9d26e4e37170b3437408f00547b7efd | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
/***************************************************************************
QDViewer
A QGIS plugin
Querschnittsdaten anzeigen
Generated by Plugin Builder: http://g-sherman.github.io/Qgis-Plugin-Builder/
-------------------
... | 46.520064 | 121 | 0.530364 |
096fcd42c6d9f08d5d089e2c6170449d67a02488 | 4,290 | py | Python | deprecated/examples/simnet_bow/py_reader_generator.py | hutuxian/FleetX | 843c7aa33f5a14680becf058a3aaf0327eefafd4 | [
"Apache-2.0"
] | 170 | 2020-08-12T12:07:01.000Z | 2022-03-07T02:38:26.000Z | deprecated/examples/simnet_bow/py_reader_generator.py | hutuxian/FleetX | 843c7aa33f5a14680becf058a3aaf0327eefafd4 | [
"Apache-2.0"
] | 195 | 2020-08-13T03:22:15.000Z | 2022-03-30T07:40:25.000Z | deprecated/examples/simnet_bow/py_reader_generator.py | hutuxian/FleetX | 843c7aa33f5a14680becf058a3aaf0327eefafd4 | [
"Apache-2.0"
] | 67 | 2020-08-14T02:07:46.000Z | 2022-03-28T10:05:33.000Z | #!/usr/bin/python
# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 39 | 109 | 0.545221 |
111d89dc3fa97f05216826d77249b04673a33d5f | 381 | py | Python | examples/seq2seq/att_all_need/__init__.py | yym6472/transformers | abd01205561e5caec167c1fbb20bccea24d7ba46 | [
"Apache-2.0"
] | 1 | 2021-12-30T05:41:37.000Z | 2021-12-30T05:41:37.000Z | examples/seq2seq/att_all_need/__init__.py | yym6472/transformers | abd01205561e5caec167c1fbb20bccea24d7ba46 | [
"Apache-2.0"
] | null | null | null | examples/seq2seq/att_all_need/__init__.py | yym6472/transformers | abd01205561e5caec167c1fbb20bccea24d7ba46 | [
"Apache-2.0"
] | null | null | null | import att_all_need.Constants
import att_all_need.Modules
import att_all_need.Layers
import att_all_need.SubLayers
import att_all_need.Models
import att_all_need.Translator
import att_all_need.Optim
__all__ = [
att_all_need.Constants, att_all_need.Modules, att_all_need.Layers,
att_all_need.SubLayers, att_all_n... | 29.307692 | 70 | 0.84252 |
6e79cb55306cf44f641a4fcd8e7ab51391678716 | 517 | py | Python | Datastructures/linearSearch.py | BALAVIGNESHDOSTRIX/pyexpert | 300498f66a3a4f6b3060d51b3d6643d8e63cf746 | [
"CC0-1.0"
] | null | null | null | Datastructures/linearSearch.py | BALAVIGNESHDOSTRIX/pyexpert | 300498f66a3a4f6b3060d51b3d6643d8e63cf746 | [
"CC0-1.0"
] | null | null | null | Datastructures/linearSearch.py | BALAVIGNESHDOSTRIX/pyexpert | 300498f66a3a4f6b3060d51b3d6643d8e63cf746 | [
"CC0-1.0"
] | null | null | null | #Linear Search
class LinearSerach:
def __init__(self):
self.elements = [10,52,14,8,1,400,900,200,2,0]
def SearchEm(self,elem):
y = 0
if elem in self.elements:
print("{x} is in the position of {y}".format(x = elem,y = self.elements.index(elem)))
else:
... | 21.541667 | 97 | 0.576402 |
2853cd0347b667a039186eec376666b20fb855dc | 467 | py | Python | Python/M01_ProgrammingBasics/L06_NestedLoops/Exercises/Solutions/P04_TrainTheTrainers.py | todorkrastev/softuni-software-engineering | cfc0b5eaeb82951ff4d4668332ec3a31c59a5f84 | [
"MIT"
] | null | null | null | Python/M01_ProgrammingBasics/L06_NestedLoops/Exercises/Solutions/P04_TrainTheTrainers.py | todorkrastev/softuni-software-engineering | cfc0b5eaeb82951ff4d4668332ec3a31c59a5f84 | [
"MIT"
] | null | null | null | Python/M01_ProgrammingBasics/L06_NestedLoops/Exercises/Solutions/P04_TrainTheTrainers.py | todorkrastev/softuni-software-engineering | cfc0b5eaeb82951ff4d4668332ec3a31c59a5f84 | [
"MIT"
] | 1 | 2022-02-23T13:03:14.000Z | 2022-02-23T13:03:14.000Z | people = int(input())
name_doc = input()
grade_sum = 0
average_grade = 0
total_grade = 0
numbers = 0
while name_doc != "Finish":
for x in range(people):
grade = float(input())
grade_sum += grade
average_grade = grade_sum / people
print(f"{name_doc} - {average_grade:.2f}.")
name_doc ... | 24.578947 | 68 | 0.640257 |
95be5f081349f73ff5bdd3615dda1dea6e95803e | 218 | py | Python | Algorithms/Implementation/designer_pdf_viewer.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | Algorithms/Implementation/designer_pdf_viewer.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | Algorithms/Implementation/designer_pdf_viewer.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import sys
import string
h = list(map(int, input().strip().split(' ')))
word = input().strip()
L = list(string.ascii_lowercase)
wi = [h[L.index(w)] for w in word]
print(len(word) * max(wi))
| 15.571429 | 46 | 0.642202 |
c2864f7e6f1b9b8bc01c8cc1bc2f59a6a1c5eb5a | 2,659 | py | Python | resources/mechanics_lib/FixedLegsBuilder.py | PRECISE/ROSLab | 2a6a295b71d4c73bc5c6ae2ec0330274afa31d0d | [
"Apache-2.0"
] | 7 | 2016-01-20T02:33:00.000Z | 2021-02-04T04:06:57.000Z | resources/mechanics_lib/FixedLegsBuilder.py | PRECISE/ROSLab | 2a6a295b71d4c73bc5c6ae2ec0330274afa31d0d | [
"Apache-2.0"
] | null | null | null | resources/mechanics_lib/FixedLegsBuilder.py | PRECISE/ROSLab | 2a6a295b71d4c73bc5c6ae2ec0330274afa31d0d | [
"Apache-2.0"
] | 3 | 2016-10-05T07:20:30.000Z | 2017-11-20T10:36:50.000Z | from api.component import Component
###################
# Component builder
###################
c = Component()
### Subcomponents used in this assembly
c.addSubcomponent("bar", "RectBeam")
c.addSubcomponent("leg1", "PointedLeg")
c.addSubcomponent("leg2", "PointedLeg")
c.addSubcomponent("split", "SplitEdge")
### New... | 35.453333 | 99 | 0.657766 |
b0b8286a112f6cc255d6f141cac0e14ff0ca06ff | 37 | py | Python | app/others/__init__.py | pushyzheng/docker-oj-web | 119abae3763cd2e53c686a320af7f4f5af1f16ca | [
"MIT"
] | 2 | 2019-06-24T08:34:39.000Z | 2019-06-27T12:23:47.000Z | app/user/__init__.py | pushyzheng/docker-oj-web | 119abae3763cd2e53c686a320af7f4f5af1f16ca | [
"MIT"
] | null | null | null | app/user/__init__.py | pushyzheng/docker-oj-web | 119abae3763cd2e53c686a320af7f4f5af1f16ca | [
"MIT"
] | null | null | null | # encoding:utf-8
from . import views | 12.333333 | 19 | 0.72973 |
b0362586ab24eacfd3e6ed4b0d747c1e52f21716 | 1,532 | py | Python | src/entity/GridSampler.py | dreaming-coder/RadarSet | c912298d0d6058c6647986524e5d95a205b51c1d | [
"MIT"
] | null | null | null | src/entity/GridSampler.py | dreaming-coder/RadarSet | c912298d0d6058c6647986524e5d95a205b51c1d | [
"MIT"
] | null | null | null | src/entity/GridSampler.py | dreaming-coder/RadarSet | c912298d0d6058c6647986524e5d95a205b51c1d | [
"MIT"
] | null | null | null | import numpy as np
from numpy import ndarray
from sklearn.neighbors import KNeighborsRegressor
__all__ = ["GridSampler"]
class GridSampler(object):
def __init__(self, data: ndarray, longitude: ndarray, latitude: ndarray, k: int = 5):
"""
:param data: dbz
:param longitude: ... | 30.64 | 89 | 0.535901 |
05f54f0884c8616422ea49c91577829790703cff | 3,717 | py | Python | tools/generate-defines.py | lurch/Pinout2 | bd3b39de2c053607b9415dd9eb0297a401ba7162 | [
"CC-BY-4.0"
] | null | null | null | tools/generate-defines.py | lurch/Pinout2 | bd3b39de2c053607b9415dd9eb0297a401ba7162 | [
"CC-BY-4.0"
] | null | null | null | tools/generate-defines.py | lurch/Pinout2 | bd3b39de2c053607b9415dd9eb0297a401ba7162 | [
"CC-BY-4.0"
] | null | null | null | #!/usr/bin/env python
import json
import markdown
import unicodedata
import re
import os
import time
import sys
lang = 'en'
pins = None
key_template = {
'python': '{board_name}_{name}',
'ruby': '{board_name}_{name}',
'spin': ' {board_name}_{name}',
'c': '#define {board_name}_{name}'
}
va... | 25.458904 | 96 | 0.552596 |
afc4a3f0be4d9ea808205f06cf570014790fdc8d | 203 | py | Python | Algorithms/Sorting/CountingSort2.py | baby5/HackerRank | 1e68a85f40499adb9b52a4da16936f85ac231233 | [
"MIT"
] | null | null | null | Algorithms/Sorting/CountingSort2.py | baby5/HackerRank | 1e68a85f40499adb9b52a4da16936f85ac231233 | [
"MIT"
] | null | null | null | Algorithms/Sorting/CountingSort2.py | baby5/HackerRank | 1e68a85f40499adb9b52a4da16936f85ac231233 | [
"MIT"
] | null | null | null | #coding:utf-8
from collections import Counter
n = int(raw_input())
counter = Counter(raw_input().split())
ar = []
for i in xrange(100):
ar += [str(i)] * counter.get(str(i), 0)
print ' '.join(ar)
| 15.615385 | 43 | 0.630542 |
bb7101ada8ce544953bb0426ef09e562f84cae47 | 529 | py | Python | pyntcloud/neighbors/r_neighbors.py | bernssolg/pyntcloud-master | 84cf000b7a7f69a2c1b36f9624f05f65160bf992 | [
"MIT"
] | 1,142 | 2016-10-10T08:55:30.000Z | 2022-03-30T04:46:16.000Z | pyntcloud/neighbors/r_neighbors.py | bernssolg/pyntcloud-master | 84cf000b7a7f69a2c1b36f9624f05f65160bf992 | [
"MIT"
] | 195 | 2016-10-10T08:30:37.000Z | 2022-02-17T12:51:17.000Z | pyntcloud/neighbors/r_neighbors.py | bernssolg/pyntcloud-master | 84cf000b7a7f69a2c1b36f9624f05f65160bf992 | [
"MIT"
] | 215 | 2017-02-28T00:50:29.000Z | 2022-03-22T17:01:31.000Z | import numpy as np
def r_neighbors(kdtree, r):
""" Get indices of all neartest neighbors with a distance < r for each point
Parameters
----------
kdtree: pyntcloud.structrues.KDTree
The KDTree built on top of the points in point cloud
r: float
Maximum distance to consider a neigh... | 24.045455 | 80 | 0.635161 |
3c873fcdcd88197cf9e2a49adb8d73709128b60d | 2,571 | py | Python | src/bo4e/bo/standorteigenschaften.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | 1 | 2022-03-02T12:49:44.000Z | 2022-03-02T12:49:44.000Z | src/bo4e/bo/standorteigenschaften.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | 21 | 2022-02-04T07:38:46.000Z | 2022-03-28T14:01:53.000Z | src/bo4e/bo/standorteigenschaften.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | null | null | null | """
Contains Standorteigenschaften class
and corresponding marshmallow schema for de-/serialization
"""
from typing import List, Optional
import attr
from marshmallow import fields
from bo4e.bo.geschaeftsobjekt import Geschaeftsobjekt, GeschaeftsobjektSchema
from bo4e.com.standorteigenschaftenallgemein import Standor... | 41.467742 | 196 | 0.801634 |
b1f8a1cb4b21c3994787c2e39a860fa22f68d47b | 3,738 | py | Python | pocketthrone/managers/filemanager.py | herrschr/pocket-throne | 819ebae250f45b0a4b15a8320e2836c0b5113528 | [
"BSD-2-Clause"
] | 4 | 2016-06-05T16:48:04.000Z | 2020-03-23T20:06:06.000Z | pocketthrone/managers/filemanager.py | herrschr/pocket-throne | 819ebae250f45b0a4b15a8320e2836c0b5113528 | [
"BSD-2-Clause"
] | null | null | null | pocketthrone/managers/filemanager.py | herrschr/pocket-throne | 819ebae250f45b0a4b15a8320e2836c0b5113528 | [
"BSD-2-Clause"
] | null | null | null | __all__ = ['FileManager']
import os
from kivy.core.image import Image as CoreImage
from kivy.cache import Cache
# static class for accessing game paths and os methods
class FileManager:
_tag = "[FileManager] "
_initialized = False
IMAGE_FORMAT = ".png"
# to be set diectly after creation
root = {"game": None, "i... | 26.323944 | 71 | 0.706528 |
3ca3476d9be341c7d55701d15be9a0ebb8d9184e | 2,156 | py | Python | tests/onegov/election_day/views/test_views_upload_parties.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/election_day/views/test_views_upload_parties.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/election_day/views/test_views_upload_parties.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from datetime import date
from tests.onegov.election_day.common import create_election_compound
from tests.onegov.election_day.common import login
from tests.onegov.election_day.common import upload_election_compound
from tests.onegov.election_day.common import upload_party_results
from tests.onegov.election_day.common... | 32.666667 | 75 | 0.699443 |
a7362c94db122a53c8a49772b5f9f48ba739cbeb | 700 | py | Python | Problem Solving/Mathematics/Probability/Assignment Problem/assignment_problem.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | 1 | 2021-02-22T17:37:45.000Z | 2021-02-22T17:37:45.000Z | Problem Solving/Mathematics/Probability/Assignment Problem/assignment_problem.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | null | null | null | Problem Solving/Mathematics/Probability/Assignment Problem/assignment_problem.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from decimal import Decimal
def partial(M, N, k):
if k == 0:
return 0
s = Decimal(1)
q = Decimal(1)
for i in range(min(M//k, N)):
q *= Decimal(-(N-i)) / Decimal(i+1)
for j in range(k):
q *= Decimal((M-i*k-j)) / Decimal((N+M-i*k-1-j))
... | 18.421053 | 60 | 0.482857 |
59615b3836eb35dfa9694a2ef16ac67ab3458829 | 66,665 | py | Python | UAE-main/Emarite.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-17T03:35:03.000Z | 2021-12-08T06:00:31.000Z | UAE-main/Emarite.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | null | null | null | UAE-main/Emarite.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-05T18:07:48.000Z | 2022-02-24T21:25:07.000Z | # ECRYPT BY Boy HamzaH
# Subscribe Cok Chanel YouTube Gua Anjing
# Dan Jangan Lupa Follow Github Gua
exec((lambda _____, ______ : ______(eval((lambda ____,__,_ : ____.join([_(___) for ___ in __]))('',[95, 95, 105, 109, 112, 111, 114, 116, 95, 95, 40, 34, 122, 108, 105, 98, 34, 41, 46, 100, 101, 99, 111, 109, 112, 114, ... | 13,333 | 66,563 | 0.734133 |
ab9ca67f277a91dbee47ada211bbf6c5c38e0130 | 4,379 | bzl | Python | kythe/docs/asciidoc.bzl | wcalandro/kythe | 64969a853711c228b4e3cfc3ce91b84b5bb853d7 | [
"Apache-2.0"
] | 1,168 | 2015-01-27T10:19:25.000Z | 2018-10-30T15:07:11.000Z | kythe/docs/asciidoc.bzl | wcalandro/kythe | 64969a853711c228b4e3cfc3ce91b84b5bb853d7 | [
"Apache-2.0"
] | 2,811 | 2015-01-29T16:19:04.000Z | 2018-11-01T19:48:06.000Z | kythe/docs/asciidoc.bzl | wcalandro/kythe | 64969a853711c228b4e3cfc3ce91b84b5bb853d7 | [
"Apache-2.0"
] | 165 | 2015-01-27T19:06:27.000Z | 2018-10-30T17:31:10.000Z | load("@bazel_skylib//lib:shell.bzl", "shell")
load("@bazel_skylib//lib:paths.bzl", "paths")
AsciidocInfo = provider(
doc = "Information about the asciidoc-generated files.",
fields = {
"primary_output_path": "Path of the primary output file beneath {resource_dir}.",
"resource_dir": "File for th... | 41.704762 | 119 | 0.611784 |
e624c79117e6ad5ea768a2205621a752851da45a | 1,345 | py | Python | Python/zzz_training_challenge/Python_Challenge/solutions/ch07_recursion_advanced/intro/decorator_utils.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch07_recursion_advanced/intro/decorator_utils.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch07_recursion_advanced/intro/decorator_utils.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | # Beispielprogramm für das Buch "Python Challenge"
#
# Copyright 2020 by Michael Inden
import functools
# handgestrickt
def decorate_with_memo(func):
lookup_map = dict()
@functools.wraps(func)
def helper(n):
# MEMOIZATION: prüfe, ob vorberechnetes Ergebnis existiert
if n in lookup_map:
... | 20.074627 | 66 | 0.633457 |
fb07bb97aefdc6435635740fdd659d5ee7cf5533 | 646 | py | Python | tests/onegov/pay/conftest.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/pay/conftest.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/pay/conftest.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | import pytest
import transaction
from onegov.pay.models import Payment
@pytest.fixture(scope='function', autouse=True)
def reset_payment():
yield
# during testing we need to reset the links created on the payment
# model - in reality this is not an issue as we don't define the same
# models over and... | 23.071429 | 73 | 0.682663 |
fd1bb520973ae33e6e5d32eeaf2b640688ce4e41 | 449 | py | Python | Curso-Em-Video-Python/2Exercicios/017_Catetos_e_Hipotenusa.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso-Em-Video-Python/2Exercicios/017_Catetos_e_Hipotenusa.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso-Em-Video-Python/2Exercicios/017_Catetos_e_Hipotenusa.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | from math import hypot
co = float(input('Quanto medo o cateto oposto: '))
ca = float(input('Quanto medo o cateto adjacente: '))
hipotenusa = hypot(co, ca)
'''hipotenusa = (ca**2 + co**2) ** (1/2) formula matematica
print('O a soma dos quadrado dos catetos de um triângulo retângulo é igual ao quadrado de sua hipotenusa:... | 44.9 | 136 | 0.703786 |
239f39d43572c6dd8b67d39196a62f04b93137ae | 527 | py | Python | IVTa/2014/ALEKSEEV_I_S/task_3_50.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | IVTa/2014/ALEKSEEV_I_S/task_3_50.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | IVTa/2014/ALEKSEEV_I_S/task_3_50.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | # Задача 3. Вариант 50.
# Напишите программу, которая выводит имя "Саид-Мурадзола Садриддин", и запрашивает его псевдоним.
#Программа должна сцеплять две эти строки и выводить полученную строку,
#разделяя имя и псевдоним с помощью тире.
# Alekseev I.S.
# 15.05.2016
name = "Саид-Мурадзола Садриддин"
print("Герой наше... | 32.9375 | 99 | 0.732448 |
23baafab3de4686aa7f0b8672a42c0db1845e871 | 256 | py | Python | Problems/Stack/Easy/RemoveAllAdjacentDuplicatesInString/test_remove_duplicates.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | 1 | 2021-08-16T14:52:05.000Z | 2021-08-16T14:52:05.000Z | Problems/Stack/Easy/RemoveAllAdjacentDuplicatesInString/test_remove_duplicates.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | Problems/Stack/Easy/RemoveAllAdjacentDuplicatesInString/test_remove_duplicates.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | from unittest import TestCase
from remove_duplicates import removeDuplicates
class Test(TestCase):
def test_remove_duplicates(self):
self.assertEqual(removeDuplicates("abbaca"), "ca")
self.assertEqual(removeDuplicates("azxxzy"), "ay")
| 32 | 58 | 0.753906 |
7bca982bd072e67d2d8cbc89ef9e46683acc55dc | 7,527 | py | Python | backend/cctalk/tools.py | bytebang/ppvm | 07a0650c618b9dd6abc7563070a80c132034f532 | [
"MIT"
] | null | null | null | backend/cctalk/tools.py | bytebang/ppvm | 07a0650c618b9dd6abc7563070a80c132034f532 | [
"MIT"
] | null | null | null | backend/cctalk/tools.py | bytebang/ppvm | 07a0650c618b9dd6abc7563070a80c132034f532 | [
"MIT"
] | null | null | null | """ Provides tools for general use.
Module content
--------------
"""
# The python-cctalk package allows one to send ccTalk messages and decode replies from a coin validator.
license_text = "(C) 2011 David Schryer GNU GPLv3 or later."
__copyright__ = license_text
__autodoc__ = ['make_serial_object', 'drop_to_ipython... | 32.868996 | 115 | 0.634649 |
a99ad5868185e1054df2d7b8b74429cdab82171a | 1,533 | py | Python | frds/mktstructure/measures/price_impact.py | mgao6767/wrds | 7dca2651a181bf38c61ebde675c9f64d6c96f608 | [
"MIT"
] | 1 | 2022-03-06T20:36:06.000Z | 2022-03-06T20:36:06.000Z | mktstructure/measures/price_impact.py | mgao6767/mktstructure | 5432c1bed163f838209d34b74c09629bea620ba8 | [
"MIT"
] | null | null | null | mktstructure/measures/price_impact.py | mgao6767/mktstructure | 5432c1bed163f838209d34b74c09629bea620ba8 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
from .exceptions import *
name = "PriceImpact"
description = """
The price impact is
2 * q * (midpoint_5min - midpoint) / midpoint
where q is the trade direction (1 for buys and -1 for sells),
midpoint is bid-ask midpoint, and midpoint_5min is the bid-ask midpoint 5min later.
... | 38.325 | 84 | 0.679713 |
a5ebb807ff741ef8001b2a69f8057b5972fd93d4 | 1,878 | py | Python | tarefas-poo/lista-03/balde/view/interface_com_usuario.py | victoriaduarte/POO_UFSC | 0c65b4f26383d1e3038d8469bd91fd2c0cb98c1a | [
"MIT"
] | null | null | null | tarefas-poo/lista-03/balde/view/interface_com_usuario.py | victoriaduarte/POO_UFSC | 0c65b4f26383d1e3038d8469bd91fd2c0cb98c1a | [
"MIT"
] | null | null | null | tarefas-poo/lista-03/balde/view/interface_com_usuario.py | victoriaduarte/POO_UFSC | 0c65b4f26383d1e3038d8469bd91fd2c0cb98c1a | [
"MIT"
] | null | null | null | # --------------------------
# UFSC - CTC - INE - INE5663
# Exercício do Balde
# --------------------------
# Classe que representa a interface com o usuário
#
from view.menu import Menu
from view.paineis.painel_cria_baldes import PainelCriaBaldes
from view.paineis.painel_destroi_baldes import PainelDestroiBaldes
from... | 32.947368 | 74 | 0.546858 |
93a51902285ff3561d20e3b1bfd2d2a16c459863 | 3,337 | py | Python | 2018/finals/web-mitigator/app/main.py | iicarus-bit/google-ctf | 4eb8742bca58ff071ff8f6814d41d9ec7eb1db4b | [
"Apache-2.0"
] | 2,757 | 2018-04-28T21:41:36.000Z | 2022-03-29T06:33:36.000Z | 2018/finals/web-mitigator/app/main.py | iicarus-bit/google-ctf | 4eb8742bca58ff071ff8f6814d41d9ec7eb1db4b | [
"Apache-2.0"
] | 20 | 2019-07-23T15:29:32.000Z | 2022-01-21T12:53:04.000Z | 2018/finals/web-mitigator/app/main.py | iicarus-bit/google-ctf | 4eb8742bca58ff071ff8f6814d41d9ec7eb1db4b | [
"Apache-2.0"
] | 449 | 2018-05-09T05:54:05.000Z | 2022-03-30T14:54:18.000Z | #!/usr/bin/python
# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | 42.782051 | 422 | 0.706023 |
9e13297bcad332cae21c3a3453309ecd98fd058b | 956 | py | Python | data/data_loader.py | florianfricke/Bachelor_Thesis_Sentiment_Analyse | aa1fa95cfbc13115ee60baaf79eab0d1940998ab | [
"MIT"
] | 1 | 2020-06-04T13:20:45.000Z | 2020-06-04T13:20:45.000Z | data/data_loader.py | florianfricke/Bachelor_Thesis_Sentiment_Analyse | aa1fa95cfbc13115ee60baaf79eab0d1940998ab | [
"MIT"
] | 6 | 2020-06-03T18:45:11.000Z | 2022-02-10T01:51:03.000Z | data/data_loader.py | florianfricke/Bachelor_Thesis_Sentiment_Analyse | aa1fa95cfbc13115ee60baaf79eab0d1940998ab | [
"MIT"
] | null | null | null | """
Created by Florian Fricke.
"""
import os
from utilities.utilities import clean_text
from os.path import join
class DataLoader:
def __init__(self):
self._dirname = os.path.dirname(__file__)
def get_data(self, filename, seperator="\t", sentiment_column_number=0, text_column_number=1):
data ... | 30.83871 | 98 | 0.58159 |
1923d29de7080a5e45efd66b8d2643600e031f38 | 664 | py | Python | source/test/test_templatehandler.py | marctrommen/bloggenerator | 5b4fed4cd12a899829261d492328dfc39a78153d | [
"MIT"
] | null | null | null | source/test/test_templatehandler.py | marctrommen/bloggenerator | 5b4fed4cd12a899829261d492328dfc39a78153d | [
"MIT"
] | null | null | null | source/test/test_templatehandler.py | marctrommen/bloggenerator | 5b4fed4cd12a899829261d492328dfc39a78153d | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import unittest
import templatehandler
class TemplateHandlerTest(unittest.TestCase):
def __init__(self, *args, **kwargs):
super(TemplateHandlerTest, self).__init__(*args, **kwargs)
def test_getPage(self):
th = templatehandler.TemplateHandler()
self.assertEqual... | 27.666667 | 75 | 0.746988 |
2709581564c8e67ff6eb7794622e5fc13124691b | 4,482 | py | Python | convertx/cli.py | VolkerBergen/convertx | 3d11f94e5ff20b17381c626848fe26e82a5c9cb7 | [
"BSD-2-Clause"
] | null | null | null | convertx/cli.py | VolkerBergen/convertx | 3d11f94e5ff20b17381c626848fe26e82a5c9cb7 | [
"BSD-2-Clause"
] | 5 | 2022-01-06T20:34:22.000Z | 2022-01-17T14:58:05.000Z | convertx/cli.py | VolkerBergen/convertx | 3d11f94e5ff20b17381c626848fe26e82a5c9cb7 | [
"BSD-2-Clause"
] | 1 | 2022-01-05T13:17:57.000Z | 2022-01-05T13:17:57.000Z | import argparse
import io
import os
import sys
from datetime import date, datetime
from mammoth import convert, writers
from html2text import html2text
from .styles import style_mappings, style_mappings_md, check_comments
def main():
argv = [arg for arg in sys.argv if not arg.startswith('--')]
argv_dir = ' ... | 33.699248 | 109 | 0.572735 |
e30c668146f5292adf9d8941078d876c3b4b49d3 | 5,250 | py | Python | ArduinoToPiDataTransfer/PiDataReceiverGeneric.py | Robsen01/Brain_Interface | 2525dc5e90bc5ac6b67f8f596fdf26a9ae6b391e | [
"Apache-2.0"
] | null | null | null | ArduinoToPiDataTransfer/PiDataReceiverGeneric.py | Robsen01/Brain_Interface | 2525dc5e90bc5ac6b67f8f596fdf26a9ae6b391e | [
"Apache-2.0"
] | null | null | null | ArduinoToPiDataTransfer/PiDataReceiverGeneric.py | Robsen01/Brain_Interface | 2525dc5e90bc5ac6b67f8f596fdf26a9ae6b391e | [
"Apache-2.0"
] | null | null | null | from time import sleep, time_ns
import serial
import serial.tools.list_ports
import math
'''
PiDataReceiverGeneric has everything you need to communicate with the Arduino.
'''
class PiDataReceiverGeneric:
'''
port must be a string like 'COM3'. Retrieve possible ports with PiDataReceiver.list_possible_ports.
... | 34.313725 | 195 | 0.62419 |
8bc4e1cbae7913cb418e025dd446d4bbf461bd0f | 46,469 | py | Python | MachineTranslation/src_bak/attention/v1/machine_translation_with_attention_xrh.py | Xinrihui/DeepLearningApp | 8d86b88251ee8d37358c642b1ec4a341767bfd17 | [
"Apache-2.0"
] | 2 | 2021-08-25T01:13:29.000Z | 2021-10-10T14:49:59.000Z | MachineTranslation/src_bak/attention/v1/machine_translation_with_attention_xrh.py | Xinrihui/DeepLearningApp | 8d86b88251ee8d37358c642b1ec4a341767bfd17 | [
"Apache-2.0"
] | null | null | null | MachineTranslation/src_bak/attention/v1/machine_translation_with_attention_xrh.py | Xinrihui/DeepLearningApp | 8d86b88251ee8d37358c642b1ec4a341767bfd17 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# -*- coding: UTF-8 -*-
# 适用于 tensorflow >= 2.0, keras 被直接集成到 tensorflow 的内部
# ref: https://keras.io/about/
from tensorflow.keras.layers import Bidirectional, Concatenate, Dot, Input, LSTM
from tensorflow.keras.layers import RepeatVector, Dense, Lambda, Softmax, Reshape
from tensorflow.keras.opti... | 34.600894 | 128 | 0.586628 |
8bd06748bac62ea851dbcc3b99fe1b5f1ca60408 | 4,998 | py | Python | ChunkServer.py | lihuiba/SoftSAN | 1b8ab2cae92b7aac34211909b27d4ebe595275d7 | [
"Apache-2.0"
] | 1 | 2015-08-02T09:53:18.000Z | 2015-08-02T09:53:18.000Z | ChunkServer.py | lihuiba/SoftSAN | 1b8ab2cae92b7aac34211909b27d4ebe595275d7 | [
"Apache-2.0"
] | null | null | null | ChunkServer.py | lihuiba/SoftSAN | 1b8ab2cae92b7aac34211909b27d4ebe595275d7 | [
"Apache-2.0"
] | 2 | 2018-03-21T04:59:50.000Z | 2019-12-03T15:54:17.000Z | import rpc, logging
import messages_pb2 as msg
import guid as Guid
import mds, config, util
import gevent.server
import Backend
from pytgt.tgt_ctrl import *
import random
class ChunkServer:
def __init__(self, prefix_vol='lv_softsan_', vgname='VolGroup'):
self.lvm = Backend.LVM_SOFTSAN()
self.tgt = Tgt()
self.p... | 31.2375 | 130 | 0.726491 |
7bfa1761e0f14130896d9a6799049a6aae704952 | 394 | py | Python | 2015/11/look-begin-rate-table/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 14 | 2015-05-08T13:41:51.000Z | 2021-02-24T12:34:55.000Z | 2015/11/look-begin-rate-table/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | null | null | null | 2015/11/look-begin-rate-table/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 7 | 2015-04-04T04:45:54.000Z | 2021-02-18T11:12:48.000Z | #!/usr/bin/env python
import base_filters
COPY_GOOGLE_DOC_KEY = '1qBD8PVaqBNYx3iyXuQmNJgGFtF7E8cysyGeiBlMMEEw'
USE_ASSETS = False
# Use these variables to override the default cache timeouts for this graphic
# DEFAULT_MAX_AGE = 20
# ASSETS_MAX_AGE = 300
def percent(value):
return unicode(round(float(value), 3... | 21.888889 | 77 | 0.771574 |
efb9e57ba66eb8f54906265e8958d1d884c48c2e | 7,084 | py | Python | Packs/Cymulate/Integrations/Cymulate/Cymulate_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/Cymulate/Integrations/Cymulate/Cymulate_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/Cymulate/Integrations/Cymulate/Cymulate_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import demistomock as demisto
from Cymulate import cymulate_test, fetch_incidents, cymulate_get_incident_info, Client, CymulateModuleTypeEnum
BASE_URL = 'https://api.cymulate.com/v1/'
MOKE_TEST = {"success": True, "data": ["Phishing Awareness", "Web Application Firewall",
"Late... | 48.190476 | 120 | 0.449605 |
ef58a8dd9159150f5c62dc1540bb5470aed1bc7c | 1,370 | py | Python | kts/core/backend/io.py | konodyuk/kts | 3af5ccbf1d2089cb41d171626fcde4b0ba5aa8a7 | [
"MIT"
] | 18 | 2019-02-14T13:10:07.000Z | 2021-11-26T07:10:13.000Z | kts/core/backend/io.py | konodyuk/kts | 3af5ccbf1d2089cb41d171626fcde4b0ba5aa8a7 | [
"MIT"
] | 2 | 2019-02-17T14:06:42.000Z | 2019-09-15T18:05:54.000Z | kts/core/backend/io.py | konodyuk/kts | 3af5ccbf1d2089cb41d171626fcde4b0ba5aa8a7 | [
"MIT"
] | 2 | 2019-09-15T13:12:42.000Z | 2020-04-15T14:05:54.000Z | import time
import kts.core.backend.signal as rs
class TextChunk(rs.Signal):
def __init__(self, timestamp, text, run_id=None):
self.timestamp = timestamp
self.text = text
self.run_id = run_id
def get_contents(self):
res = {'timestamp': self.timestamp, 'text': self.text}
... | 21.746032 | 86 | 0.535766 |
08e845d836398aafaf9d487f94d2d21eb1a18a13 | 802 | py | Python | binary-tree-right-side-view/binary-tree-right-side-view.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | 2 | 2021-12-05T14:29:06.000Z | 2022-01-01T05:46:13.000Z | binary-tree-right-side-view/binary-tree-right-side-view.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | binary-tree-right-side-view/binary-tree-right-side-view.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def rightSideView(self, root: Optional[TreeNode]) -> List[int]:
if not root:
return []
... | 30.846154 | 67 | 0.523691 |
decba192a977ffe5ba11a40e9c31065a4fe14352 | 11,249 | py | Python | src/austria/migrations/0001_initial.py | frocentus/offenewahlen_api | 71860583890f8a4c23df67f271e8f13558fa9582 | [
"MIT"
] | 14 | 2017-07-12T14:42:57.000Z | 2017-09-08T20:32:53.000Z | src/austria/migrations/0001_initial.py | frocentus/offenewahlen_api | 71860583890f8a4c23df67f271e8f13558fa9582 | [
"MIT"
] | 209 | 2017-07-11T21:36:01.000Z | 2017-11-05T01:10:50.000Z | src/austria/migrations/0001_initial.py | OKFNat/offenewahlen-api | 71860583890f8a4c23df67f271e8f13558fa9582 | [
"MIT"
] | 8 | 2017-07-15T09:40:42.000Z | 2018-01-12T03:02:06.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.3 on 2018-04-05 23:20
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.Crea... | 43.265385 | 135 | 0.552938 |
3e771eb33afa0ab45444ee8bac5a61bd72d00ef3 | 11,803 | py | Python | Packs/Microsoft365Defender/Integrations/Microsoft365DefenderEventCollector/Microsoft365DefenderEventCollector.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | 1 | 2021-11-02T05:36:38.000Z | 2021-11-02T05:36:38.000Z | Packs/Microsoft365Defender/Integrations/Microsoft365DefenderEventCollector/Microsoft365DefenderEventCollector.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | 61 | 2021-10-07T08:54:38.000Z | 2022-03-31T10:25:35.000Z | Packs/Microsoft365Defender/Integrations/Microsoft365DefenderEventCollector/Microsoft365DefenderEventCollector.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | null | null | null |
# pylint: disable=no-name-in-module
# pylint: disable=no-self-argument
import demistomock as demisto
from CommonServerPython import * # noqa # pylint: disable=unused-wildcard-import
from CommonServerUserPython import * # noqa
from abc import ABC
from typing import Any, Callable, Optional
from enum import Enum
fro... | 32.425824 | 123 | 0.649581 |
e4295da2f7812b00aee90ea339be9189b4602eb0 | 352 | py | Python | LFA/class_assembly_line.py | joao-frohlich/BCC | 9ed74eb6d921d1280f48680677a2140c5383368d | [
"Apache-2.0"
] | 10 | 2020-12-08T20:18:15.000Z | 2021-06-07T20:00:07.000Z | LFA/class_assembly_line.py | joao-frohlich/BCC | 9ed74eb6d921d1280f48680677a2140c5383368d | [
"Apache-2.0"
] | 2 | 2021-06-28T03:42:13.000Z | 2021-06-28T16:53:13.000Z | LFA/class_assembly_line.py | joao-frohlich/BCC | 9ed74eb6d921d1280f48680677a2140c5383368d | [
"Apache-2.0"
] | 2 | 2021-01-14T19:59:20.000Z | 2021-06-15T11:53:21.000Z | from utils import *
from class_moore import Moore
class Assembly_Line:
def __init__(self, assembly_type):
self.automaton = Moore(*read_7_tuple_from_data(assembly_type))
self.type = self.automaton.name
def __len__(self):
return self.automaton.capacity
def __str__(self):
re... | 23.466667 | 70 | 0.704545 |
39adf3d80d50ee6f6c6e6afd03e42f583ec4eb69 | 879 | py | Python | exercises/fr/test_04_12_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/fr/test_04_12_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/fr/test_04_12_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | def test():
assert len(doc1.ents) == 2, "Attendu deux entités dans le premier exemple"
assert (
doc1.ents[0].label_ == "SITE_WEB" and doc1.ents[0].text == "Reddit"
), "Vérifie l'entité une dans le premier exemple"
assert (
doc1.ents[1].label_ == "SITE_WEB" and doc1.ents[1].text == "P... | 46.263158 | 83 | 0.631399 |
0806256e761da98bcded927cddb03e948b352211 | 9,338 | py | Python | tests/services/test_event.py | DanielGrams/gsevp | e94034f7b64de76f38754b56455e83092378261f | [
"MIT"
] | 1 | 2021-06-01T14:49:18.000Z | 2021-06-01T14:49:18.000Z | tests/services/test_event.py | DanielGrams/gsevp | e94034f7b64de76f38754b56455e83092378261f | [
"MIT"
] | 286 | 2020-12-04T14:13:00.000Z | 2022-03-09T19:05:16.000Z | tests/services/test_event.py | DanielGrams/gsevpt | a92f71694388e227e65ed1b24446246ee688d00e | [
"MIT"
] | null | null | null | import pytest
def test_update_event_dates_with_recurrence_rule(client, seeder, utils, app):
user_id, admin_unit_id = seeder.setup_base()
event_id = seeder.create_event(admin_unit_id)
with app.app_context():
from project.dateutils import create_berlin_date
from project.models import Event
... | 34.330882 | 148 | 0.668344 |
083497431e4ea34ae2484440e44fa0809d4e3205 | 2,559 | py | Python | Common_Algorithms/HMM/Wordseg_02.py | xrick/WolfNLP | ff59be5a180813e7127c7eaf52db2478c20e8431 | [
"MIT"
] | null | null | null | Common_Algorithms/HMM/Wordseg_02.py | xrick/WolfNLP | ff59be5a180813e7127c7eaf52db2478c20e8431 | [
"MIT"
] | null | null | null | Common_Algorithms/HMM/Wordseg_02.py | xrick/WolfNLP | ff59be5a180813e7127c7eaf52db2478c20e8431 | [
"MIT"
] | null | null | null | #-*-coding:utf-8
# By tostq <tostq216@163.com>
# 博客: blog.csdn.net/tostq
import numpy as np
import hmm
from hmmlearn.hmm import MultinomialHMM
state_M = 4
word_N = 0
state_list = {'B':0,'M':1,'E':2,'S':3}
# 获得某词的分词结果
# 如：（我：S）、（你好：BE）、（恭喜发财：BMME）
def getList(input_str):
outpout_str = []
if len(input_str) == 1... | 25.088235 | 68 | 0.623681 |
f25bbeef8b86b5586bcf49e392dc55c4a785e375 | 913 | py | Python | Algorithms/Implementation/forming_a_magic_square.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | Algorithms/Implementation/forming_a_magic_square.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | Algorithms/Implementation/forming_a_magic_square.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
all_cases = [[[8, 1, 6], [3, 5, 7], [4, 9, 2]],
[[6, 1, 8], [7, 5, 3], [2, 9, 4]],
[[4, 9, 2], [3, 5, 7], [8, 1, 6]],
[[2, 9, 4], [7, 5, 3], [6, 1, 8]],
[[8, 3, 4], [1, 5, 9], [6, 7, 2]],
[[4, 3, 8], [9, 5, 1], [2, 7, 6]],
... | 29.451613 | 108 | 0.41402 |
d9d103effb7ebd2fcd272e2fd1c6ce75e5453a53 | 8,644 | py | Python | methods/transformers/src/transformers/configuration_electra.py | INK-USC/RiddleSense | a3d57eaf084da9cf6b77692c608e2cd2870fbd97 | [
"MIT"
] | 3 | 2021-07-06T20:02:31.000Z | 2022-03-27T13:13:01.000Z | methods/transformers/src/transformers/configuration_electra.py | INK-USC/RiddleSense | a3d57eaf084da9cf6b77692c608e2cd2870fbd97 | [
"MIT"
] | null | null | null | methods/transformers/src/transformers/configuration_electra.py | INK-USC/RiddleSense | a3d57eaf084da9cf6b77692c608e2cd2870fbd97 | [
"MIT"
] | null | null | null | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain... | 54.708861 | 144 | 0.686719 |
76e4aff3ee9efc9424a901af81997883bce88779 | 238 | py | Python | FUNCTIONS CLASS 12.py | sanxy/hacktoberfest-1 | 913582b310688d496602e8b1bc9166cb64866e38 | [
"MIT"
] | null | null | null | FUNCTIONS CLASS 12.py | sanxy/hacktoberfest-1 | 913582b310688d496602e8b1bc9166cb64866e38 | [
"MIT"
] | null | null | null | FUNCTIONS CLASS 12.py | sanxy/hacktoberfest-1 | 913582b310688d496602e8b1bc9166cb64866e38 | [
"MIT"
] | 1 | 2020-09-30T18:53:05.000Z | 2020-09-30T18:53:05.000Z | import mysql.connector
mydb = mysql.connector.connect(host="localhost",user='root',passwd='thebeast',database='employees21')
mycursor = mydb.cursor()
mycursor.execute('select ename from emp1')
for i in mycursor:
print (i) | 23.8 | 102 | 0.718487 |
0a464ba136340553b3e81399e9eab7ebc0939ffa | 11,260 | py | Python | rasa/nlu/featurizers/sparse_featurizer/lexical_syntactic_featurizer.py | chaneyjd/rasa | 104a9591fc10b96eaa7fe402b6d64ca652b7ebe2 | [
"Apache-2.0"
] | 37 | 2019-06-07T07:39:00.000Z | 2022-01-27T08:32:57.000Z | rasa/nlu/featurizers/sparse_featurizer/lexical_syntactic_featurizer.py | chaneyjd/rasa | 104a9591fc10b96eaa7fe402b6d64ca652b7ebe2 | [
"Apache-2.0"
] | 209 | 2020-03-18T18:28:12.000Z | 2022-03-01T13:42:29.000Z | rasa/nlu/featurizers/sparse_featurizer/lexical_syntactic_featurizer.py | chaneyjd/rasa | 104a9591fc10b96eaa7fe402b6d64ca652b7ebe2 | [
"Apache-2.0"
] | 65 | 2019-05-21T12:16:53.000Z | 2022-02-23T10:54:15.000Z | import logging
from collections import defaultdict, OrderedDict
from pathlib import Path
import numpy as np
from typing import Any, Dict, Optional, Text, List, Type, Union
from rasa.nlu.tokenizers.spacy_tokenizer import POS_TAG_KEY
from rasa.shared.constants import DOCS_URL_COMPONENTS
from rasa.nlu.components import ... | 37.161716 | 92 | 0.642007 |
6aadbc149a4009a745fe1c5424569f28af289cd3 | 295 | py | Python | exercises/fr/exc_01_08_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/fr/exc_01_08_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/fr/exc_01_08_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | import spacy
nlp = spacy.load("fr_core_news_sm")
text = "Apple a été créée en 1976 par Steve Wozniak, Steve Jobs et Ron Wayne."
# Traite le texte
doc = ____
# Itère sur les entités prédites
for ent in ____.____:
# Affiche le texte de l'entité et son label
print(ent.____, ____.____)
| 21.071429 | 78 | 0.715254 |
0a801caf4b2b74512bea3fecc7a23036652df9bc | 303 | py | Python | web/interceptors/ErrorInterceptor.py | yao6891/FlaskOrdering | cbd24bd8d95afaba91ce4d6b1b3548c4e82e3807 | [
"Apache-2.0"
] | 2 | 2019-06-10T08:57:47.000Z | 2021-06-12T16:22:15.000Z | web/interceptors/ErrorInterceptor.py | yao6891/FlaskOrdering | cbd24bd8d95afaba91ce4d6b1b3548c4e82e3807 | [
"Apache-2.0"
] | null | null | null | web/interceptors/ErrorInterceptor.py | yao6891/FlaskOrdering | cbd24bd8d95afaba91ce4d6b1b3548c4e82e3807 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from application import app
from common.libs.Helper import ops_render
from common.libs.LogService import LogService
@app.errorhandler(404)
def error_404(e):
LogService.add_error_log(str(e))
return ops_render('error/error.html', {'status': 404, 'msg': '很抱歉！您访问的页面不存在'})
| 27.545455 | 82 | 0.732673 |
86e434ce86d2a788348dd975202cf547479816c8 | 47,418 | py | Python | nz_crawl_demo/day3/demo1.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | null | null | null | nz_crawl_demo/day3/demo1.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | 27 | 2020-02-12T07:55:58.000Z | 2022-03-12T00:19:09.000Z | nz_crawl_demo/day3/demo1.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | 2 | 2020-02-18T01:54:55.000Z | 2020-02-21T11:36:28.000Z | from lxml import etree
text = """
<ul class="item_con_list" style="display: block;">
<li class="con_list_item first_row default_list" data-index="0" data-positionid="3580958" data-salary="18k-25k" data-company="众禄金融" data-positionname="python工程师" data-companyid="50285" data-hrid="1509336" data-tpladword="0">
... | 26.759594 | 249 | 0.485006 |
86f862c37f1fc4105b32506c2611e1984f6d6818 | 162 | py | Python | sentinel/vpn/__init__.py | allagog0x01/sentwg | 52285ecf2b03c30a78901a29a7af96c8ab5764c8 | [
"Apache-2.0"
] | null | null | null | sentinel/vpn/__init__.py | allagog0x01/sentwg | 52285ecf2b03c30a78901a29a7af96c8ab5764c8 | [
"Apache-2.0"
] | null | null | null | sentinel/vpn/__init__.py | allagog0x01/sentwg | 52285ecf2b03c30a78901a29a7af96c8ab5764c8 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
from .helpers import disconnect_client
from .helpers import get_sessions
from .helpers import update_session_data
from .wireguard import wireguard
| 27 | 40 | 0.845679 |
86fb659f884277de17b93c2afa6b5604f63fec64 | 30,692 | py | Python | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/zabbix_template.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/zabbix_template.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/zabbix_template.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
# (c) 2017, sookido
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status'... | 38.557789 | 144 | 0.615893 |
9c18f8315105f2144d7afb8563f73d992aff655e | 2,648 | py | Python | tools/pythonpkg/tests/fast/arrow/test_timestamps.py | AldoMyrtaj/duckdb | 3aa4978a2ceab8df25e4b20c388bcd7629de73ed | [
"MIT"
] | 2,816 | 2018-06-26T18:52:52.000Z | 2021-04-06T10:39:15.000Z | tools/pythonpkg/tests/fast/arrow/test_timestamps.py | AldoMyrtaj/duckdb | 3aa4978a2ceab8df25e4b20c388bcd7629de73ed | [
"MIT"
] | 1,310 | 2021-04-06T16:04:52.000Z | 2022-03-31T13:52:53.000Z | tools/pythonpkg/tests/fast/arrow/test_timestamps.py | AldoMyrtaj/duckdb | 3aa4978a2ceab8df25e4b20c388bcd7629de73ed | [
"MIT"
] | 270 | 2021-04-09T06:18:28.000Z | 2022-03-31T11:55:37.000Z | import duckdb
import os
import datetime
import pytest
try:
import pyarrow as pa
import pandas as pd
can_run = True
except:
can_run = False
class TestArrowTimestamps(object):
def test_timestamp_types(self, duckdb_cursor):
if not can_run:
return
data = (pa.array([datetime.... | 43.409836 | 249 | 0.604985 |
9c343a573df4394fcd53c5e1037b636600240360 | 13,378 | py | Python | CodeAnalyzing/resnet.py | gian1312/suchen | df863140fd8df1ac2e195cbdfa4756f09f962270 | [
"Apache-2.0"
] | null | null | null | CodeAnalyzing/resnet.py | gian1312/suchen | df863140fd8df1ac2e195cbdfa4756f09f962270 | [
"Apache-2.0"
] | null | null | null | CodeAnalyzing/resnet.py | gian1312/suchen | df863140fd8df1ac2e195cbdfa4756f09f962270 | [
"Apache-2.0"
] | 1 | 2019-11-29T12:28:33.000Z | 2019-11-29T12:28:33.000Z | #!/usr/bin/env python
#taken from https://github.com/raghakot/keras-resnet/blob/master/resnet.py
from __future__ import division
import six
from keras.models import Model
from keras.layers import (
Input,
Activation,
Dense,
Flatten
)
from keras.layers.core import Lambda
from keras.layers... | 20.362253 | 109 | 0.627897 |
92e714dacc8acd7270c7578f9487d0faf292923f | 2,324 | py | Python | dataset/utils/data_deal.py | baowj-678/TC | 4c9bf6bf2202c9930616259d3f3e1a2b0529a6e6 | [
"MIT"
] | null | null | null | dataset/utils/data_deal.py | baowj-678/TC | 4c9bf6bf2202c9930616259d3f3e1a2b0529a6e6 | [
"MIT"
] | null | null | null | dataset/utils/data_deal.py | baowj-678/TC | 4c9bf6bf2202c9930616259d3f3e1a2b0529a6e6 | [
"MIT"
] | null | null | null | """
@Description: 加载数据，保存数据
@Author: Bao Wenjie
@Email: bwj_678@qq.com
@Date: 2020/10/27
"""
import csv
import os
import json
class DataDeal:
def __init__(self):
pass
@classmethod
def load_data(cls, path, delimiter='\t', encoding="utf-8-sig", quotechar=None):
""" 从文件读取数据\n
@pa... | 27.666667 | 83 | 0.527108 |
1363bbef712d0e4f7a4dec0992a594a5b0be200d | 252 | py | Python | Utils/py/naoth/setup.py | tarsoly/NaoTH | dcd2b67ef6bf9953c81d3e1b26e543b5922b7d52 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | Utils/py/naoth/setup.py | tarsoly/NaoTH | dcd2b67ef6bf9953c81d3e1b26e543b5922b7d52 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | Utils/py/naoth/setup.py | tarsoly/NaoTH | dcd2b67ef6bf9953c81d3e1b26e543b5922b7d52 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
from setuptools import setup
setup(name='naoth',
version='0.2',
description='Python Utils for the NaoTH toolchain',
packages=["naoth"],
install_requires=[
'protobuf',
],
zip_safe=False)
| 19.384615 | 57 | 0.603175 |
bc57b27a0d51013b4cd0c8401a627b982c16ee53 | 1,173 | py | Python | src/test/tests/simulation/domainbounds.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 226 | 2018-12-29T01:13:49.000Z | 2022-03-30T19:16:31.000Z | src/test/tests/simulation/domainbounds.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 5,100 | 2019-01-14T18:19:25.000Z | 2022-03-31T23:08:36.000Z | src/test/tests/simulation/domainbounds.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 84 | 2019-01-24T17:41:50.000Z | 2022-03-10T10:01:46.000Z | # ----------------------------------------------------------------------------
# CLASSES: nightly
#
# Test Case: domainbounds.py
#
# Tests: libsim - connecting to simulation and retrieving data from it.
# mesh - 3D rectilinear mesh
#
# Programmer: Kathleen Biagas
# Date: June 17, 2014
#... | 24.957447 | 78 | 0.57289 |
4c5d24570ac7916f7fdc26625fc48412aa89e4a5 | 18,542 | py | Python | MAIN/STM32F405_C/NORMAL/V38/DataBase.py | ozturkahmetcevdet/VSenst | 07c068fefcbd66ae4d8ec0480b4da10d6b5c7410 | [
"MIT"
] | null | null | null | MAIN/STM32F405_C/NORMAL/V38/DataBase.py | ozturkahmetcevdet/VSenst | 07c068fefcbd66ae4d8ec0480b4da10d6b5c7410 | [
"MIT"
] | null | null | null | MAIN/STM32F405_C/NORMAL/V38/DataBase.py | ozturkahmetcevdet/VSenst | 07c068fefcbd66ae4d8ec0480b4da10d6b5c7410 | [
"MIT"
] | null | null | null | import gc
from micropython import const
from PXSensor import PxHub, key, T
import os
import peripheral
import binascii
import ujson as js
from machine import RTC
DEBUG = False
OPEN_SCENE_SHOW_TIME = const(5000)
CLOSING_TIME = const(10000)
CLOSE_SCENE_SHOW_TIME = const(1000)
class TextColour:
HEA... | 55.849398 | 559 | 0.494876 |
4c760f5d710417b40e6a1fb33ff995e7604f586d | 6,161 | py | Python | lego/test.py | tipptop3d/Horst-oder-Klaus | 2afda1a64b5ccace74ebc7b806a5e5501c0f12bb | [
"MIT"
] | null | null | null | lego/test.py | tipptop3d/Horst-oder-Klaus | 2afda1a64b5ccace74ebc7b806a5e5501c0f12bb | [
"MIT"
] | null | null | null | lego/test.py | tipptop3d/Horst-oder-Klaus | 2afda1a64b5ccace74ebc7b806a5e5501c0f12bb | [
"MIT"
] | null | null | null | """
Test File
"""
import asyncio
import math
import matplotlib.pyplot as plt
import time
from calculus.expression import Expression
# Dummies
class Port:
A = 'A'
B = 'B'
C = 'C'
class Motor:
def __init__(self, port, gears=None) -> None:
self.port = port
self.gears = gears
def ... | 25.25 | 92 | 0.603311 |
d5da25defc8cb7cc51e2168e8bc41398ce9bc71c | 1,986 | py | Python | test/test_npu/test_threshold.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-12-02T03:07:35.000Z | 2021-12-02T03:07:35.000Z | test/test_npu/test_threshold.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-11-12T07:23:03.000Z | 2021-11-12T08:28:13.000Z | test/test_npu/test_threshold.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2020, Huawei Technologies.All rights reserved.
#
# Licensed under the BSD 3-Clause License (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://opensource.org/licenses/BSD-3-Clause
#
# Unless required by applicable law... | 38.192308 | 79 | 0.697382 |
e6da965a7373cc43a2028ac7ca1bab7e1dfec1fd | 1,348 | py | Python | ppyt/indicators/breakout_indicators.py | yusukemurayama/ppytrading | 9804d0de870d77bf8a1c847736a636b1342d4600 | [
"MIT"
] | 4 | 2016-08-16T07:47:15.000Z | 2017-12-11T10:08:47.000Z | ppyt/indicators/breakout_indicators.py | yusukemurayama/ppytrading | 9804d0de870d77bf8a1c847736a636b1342d4600 | [
"MIT"
] | null | null | null | ppyt/indicators/breakout_indicators.py | yusukemurayama/ppytrading | 9804d0de870d77bf8a1c847736a636b1342d4600 | [
"MIT"
] | 2 | 2018-06-15T04:43:15.000Z | 2020-05-02T07:47:15.000Z | # coding: utf-8
import logging
import numpy as np
from ppyt.indicators import IndicatorBase
from ppyt.indicators.closerecenthighlow_indicators import (
CloseGtRecentHighIndicator, CloseLtRecentLowIndicator
)
logger = logging.getLogger(__name__)
class UpperBreakoutIndicator(IndicatorBase):
"""上にブレイクアウトしたかを示す指... | 25.923077 | 70 | 0.669881 |
e6ea66ab1cd7de4fcef1f4dd4f93d7356e431820 | 6,103 | py | Python | python_experiments/paper_figures/vldbj/draw_varying_c.py | RapidsAtHKUST/SimRank | 3a601b08f9a3c281e2b36b914e06aba3a3a36118 | [
"MIT"
] | 8 | 2020-04-14T23:17:00.000Z | 2021-06-21T12:34:04.000Z | python_experiments/paper_figures/vldbj/draw_varying_c.py | RapidsAtHKUST/SimRank | 3a601b08f9a3c281e2b36b914e06aba3a3a36118 | [
"MIT"
] | null | null | null | python_experiments/paper_figures/vldbj/draw_varying_c.py | RapidsAtHKUST/SimRank | 3a601b08f9a3c281e2b36b914e06aba3a3a36118 | [
"MIT"
] | 1 | 2021-01-17T16:26:50.000Z | 2021-01-17T16:26:50.000Z | import matplotlib.pyplot as plt
from data_analysis.vldbj_data_parsing.varying_c_statistics import *
from paper_figures.vldbj.draw_indexing_time_size import TICK_SIZE, LEGEND_SIZE, LABEL_SIZE, reads_d_tag, reads_rq_tag
import json
import itertools
us_to_ms_factor = 10 ** 3
large_size_plus = 4
def get_dict(file_path):... | 40.151316 | 117 | 0.600524 |
5dc79859d9e9acdadbcf74f50a802492149ea1d8 | 3,593 | py | Python | fcos_core/layers/sigmoid_focal_loss_bce.py | HaoGood/MMMC | 24dd4ce830efc7a8dc580735903c2a776b6a1a7b | [
"Apache-2.0"
] | 3 | 2022-01-12T11:22:38.000Z | 2022-01-27T02:28:30.000Z | fcos_core/layers/sigmoid_focal_loss_bce.py | HaoGood/MMMC | 24dd4ce830efc7a8dc580735903c2a776b6a1a7b | [
"Apache-2.0"
] | null | null | null | fcos_core/layers/sigmoid_focal_loss_bce.py | HaoGood/MMMC | 24dd4ce830efc7a8dc580735903c2a776b6a1a7b | [
"Apache-2.0"
] | 1 | 2022-01-23T02:45:03.000Z | 2022-01-23T02:45:03.000Z | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import torch
from torch.nn import functional as F
def sigmoid_focal_loss_bce(
inputs: torch.Tensor,
targets: torch.Tensor,
alpha: float = 0.25,
gamma: float = 2.0,
funcs: str = 'train',
reduction: str = "sum",
) -> torch.... | 34.883495 | 83 | 0.601169 |
539e2f99665eec34798cacbc4a08edf40cebdaf5 | 4,245 | py | Python | frappe-bench/env/lib/python2.7/site-packages/stdnum/gb/vat.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/env/lib/python2.7/site-packages/stdnum/gb/vat.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/env/lib/python2.7/site-packages/stdnum/gb/vat.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | # vat.py - functions for handling United Kingdom VAT numbers
#
# Copyright (C) 2012-2015 Arthur de Jong
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the Licen... | 34.795082 | 84 | 0.636749 |
54eeee1ef2f2e2bf0363795cd01253c4393c049c | 21,687 | py | Python | tests/onegov/gazette/test_views_notice.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/gazette/test_views_notice.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/gazette/test_views_notice.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from freezegun import freeze_time
from io import BytesIO
from onegov.gazette.models import GazetteNotice
from onegov.pdf.utils import extract_pdf_info
from tests.onegov.gazette.common import accept_notice
from tests.onegov.gazette.common import edit_notice
from tests.onegov.gazette.common import edit_notice_unrestricte... | 39.647166 | 78 | 0.552451 |
07223f6646d28bbe8361254170c56512be80ca0b | 401 | py | Python | PMIa/2014/KUCHERYAVENKO_A_I/task_1_38.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | PMIa/2014/KUCHERYAVENKO_A_I/task_1_38.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | PMIa/2014/KUCHERYAVENKO_A_I/task_1_38.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | # Задача 1. Вариант 38.
# Напишите программу, которая будет сообщать род деятельности и псевдоним под которым скрывается Аврора Жюпен. После вывода информации программа должна дожидаться пока пользователь нажмет Enter для выхода.
# Kucheryavenko A. I.
# 17.03.2016
print("Жорж Санд более известна, как французская писа... | 40.1 | 205 | 0.795511 |
db8ed35f7e5c7d36b8d26c3414a13e509c3b709d | 13,031 | py | Python | official/nlp/bert/src/dataset.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 1 | 2021-11-18T08:17:44.000Z | 2021-11-18T08:17:44.000Z | official/nlp/bert/src/dataset.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | null | null | null | official/nlp/bert/src/dataset.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 2 | 2019-09-01T06:17:04.000Z | 2019-10-04T08:39:45.000Z | # Copyright 2020 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 53.187755 | 118 | 0.646919 |
37e912ce87ee8c5913f42ac0adcd81c81f7ac03a | 204 | py | Python | 0-notes/job-search/Cracking the Coding Interview/C10SortingSearching/questions/10.9-question.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 0-notes/job-search/Cracking the Coding Interview/C10SortingSearching/questions/10.9-question.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 0-notes/job-search/Cracking the Coding Interview/C10SortingSearching/questions/10.9-question.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | # Sorted Matrix Search
# Given a M x N matrix in which each row and each column is sorted in
# ascending order, write a method to find an element.
# time complexity: O()
# space complexity: O()
| 22.666667 | 70 | 0.696078 |
53386f341aeb3359e2968df0094cb4508536cf56 | 11,559 | py | Python | DatenbankMain.py | klnrdknt/Sephrasto | 591224fe01825a169c21ebc6136533f282ce9a0b | [
"MIT"
] | 15 | 2017-11-09T12:49:52.000Z | 2022-03-06T12:18:48.000Z | DatenbankMain.py | klnrdknt/Sephrasto | 591224fe01825a169c21ebc6136533f282ce9a0b | [
"MIT"
] | 40 | 2018-02-01T21:32:01.000Z | 2022-03-22T11:35:28.000Z | DatenbankMain.py | klnrdknt/Sephrasto | 591224fe01825a169c21ebc6136533f282ce9a0b | [
"MIT"
] | 13 | 2018-03-12T17:50:42.000Z | 2022-03-06T12:21:41.000Z | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'DatenbankMain.ui'
#
# Created by: PyQt5 UI code generator 5.15.4
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt5 import QtCore... | 57.222772 | 115 | 0.739597 |
fe76e00351d56b33b2ebb4f06640167dd513b4b7 | 2,727 | py | Python | RDS/circle1_adapters_and_ports/port_openscienceframework/tests/constant.py | Sciebo-RDS/Sciebo-RDS | d71cf449ed045a2a7a049e2cb77c99fd5a9195bd | [
"MIT"
] | 10 | 2020-06-24T08:22:24.000Z | 2022-01-13T16:17:36.000Z | RDS/circle1_adapters_and_ports/port_openscienceframework/tests/constant.py | Sciebo-RDS/Sciebo-RDS | d71cf449ed045a2a7a049e2cb77c99fd5a9195bd | [
"MIT"
] | 78 | 2020-01-23T14:32:06.000Z | 2022-03-07T14:11:16.000Z | RDS/circle1_adapters_and_ports/port_openscienceframework/tests/constant.py | Sciebo-RDS/Sciebo-RDS | d71cf449ed045a2a7a049e2cb77c99fd5a9195bd | [
"MIT"
] | 1 | 2020-06-24T08:33:48.000Z | 2020-06-24T08:33:48.000Z | req = {
"userId": "admin",
"metadata": {
"@context": [
"https://w3id.org/ro/crate/1.0/context",
{
"@vocab": "https://schema.org/",
"osfcategory": "https://www.research-data-services.org/jsonld/osfcategory",
"zenodocategory": "https:... | 36.36 | 97 | 0.409974 |
feb872640410fc1f83718fda29c0235d78d75632 | 349 | py | Python | Python/Courses/Python-Tutorials.Telusko/02.Miscellaneous/17.01-Custom-Iterator.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Courses/Python-Tutorials.Telusko/02.Miscellaneous/17.01-Custom-Iterator.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Courses/Python-Tutorials.Telusko/02.Miscellaneous/17.01-Custom-Iterator.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | class TopTen:
def __init__(self):
self.num = 1
def __iter__(self):
return self
def __next__(self):
if self.num <= 10:
val = self.num
self.num += 1
return val
else:
raise StopIteration
values = TopTen()
print(next(values))
f... | 15.863636 | 31 | 0.512894 |
22a659a330aa51abf44dc2d92f08f0f29ee6700f | 513 | py | Python | src/onegov/fsi/views/search.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/fsi/views/search.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/fsi/views/search.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.core.security import Personal
from onegov.fsi import FsiApp
from onegov.org.models import Search
from onegov.org.views.search import search as search_view
from onegov.org.views.search import suggestions as suggestions_view
@FsiApp.html(model=Search, template='search.pt', permission=Personal)
def search(se... | 32.0625 | 69 | 0.80117 |
22df2e0e0527bd6381b3b4db13c33d2e8f7708b5 | 14,158 | py | Python | workspace/cogrob/service_manager/model/docker_service.py | CogRob/Rorg | dbf9d849e150404c117f6f0062476d995cec7316 | [
"BSD-3-Clause"
] | 8 | 2019-05-07T02:30:58.000Z | 2021-12-10T18:44:45.000Z | workspace/cogrob/service_manager/model/docker_service.py | CogRob/Rorg | dbf9d849e150404c117f6f0062476d995cec7316 | [
"BSD-3-Clause"
] | 1 | 2021-03-17T07:18:23.000Z | 2021-03-17T07:18:23.000Z | workspace/cogrob/service_manager/model/docker_service.py | CogRob/Rorg | dbf9d849e150404c117f6f0062476d995cec7316 | [
"BSD-3-Clause"
] | 2 | 2019-05-21T14:15:24.000Z | 2022-02-09T12:50:24.000Z | # Copyright (c) 2019, The Regents of the University of California
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright
# notice, thi... | 37.957105 | 80 | 0.727928 |
43000134c8e6e3af4141bab85388c271bc0ec983 | 972 | py | Python | Server/admin/user.py | TateYdq/DietRegimen | 66c88e84b7c4d9226db1d9567d300b1c6f7344b7 | [
"MIT"
] | null | null | null | Server/admin/user.py | TateYdq/DietRegimen | 66c88e84b7c4d9226db1d9567d300b1c6f7344b7 | [
"MIT"
] | null | null | null | Server/admin/user.py | TateYdq/DietRegimen | 66c88e84b7c4d9226db1d9567d300b1c6f7344b7 | [
"MIT"
] | null | null | null | import requests
import json
from utils.config import *
ss = requests.session()
def addUser():
data = json.dumps({
"token":"1wqe213",
"name":"123",
"age":60,
"gender":"female",
"user_image_path":"test",
"diseases_focus":"123"
})
url = URL.format(env=cur_url, te... | 23.707317 | 75 | 0.585391 |
4318e5247f4b8d07d4dd70cfd77815483cc783dc | 524 | py | Python | misc/sympy_play/sympy_test.py | YoshimitsuMatsutaIe/hoge_flow_test | 22e2e2ce043a3107bd06449f6f9958641293e414 | [
"MIT"
] | null | null | null | misc/sympy_play/sympy_test.py | YoshimitsuMatsutaIe/hoge_flow_test | 22e2e2ce043a3107bd06449f6f9958641293e414 | [
"MIT"
] | null | null | null | misc/sympy_play/sympy_test.py | YoshimitsuMatsutaIe/hoge_flow_test | 22e2e2ce043a3107bd06449f6f9958641293e414 | [
"MIT"
] | null | null | null | import sympy as sy
from sympy.printing.pycode import pycode
t = sy.Symbol("t")
q1 = sy.Function("q1")
q2 = sy.Function("q2")
q3 = sy.Function("q3")
q4 = sy.Function("q4")
q5 = sy.Function("q5")
q6 = sy.Function("q6")
qvec = sy.Matrix([[q1(t), q2(t), q3(t), q4(t), q5(t), q6(t)]]).T
l0, l1, l2, l3, l4, l5, l6, h45 = ... | 22.782609 | 79 | 0.593511 |
4357c36b2b65963566cfb1c5dcedc1eb5e1a7ceb | 5,640 | py | Python | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/tests/unit/modules/network/aireos/test_aireos_config.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/tests/unit/modules/network/aireos/test_aireos_config.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/tests/unit/modules/network/aireos/test_aireos_config.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | #
# (c) 2016 Red Hat Inc.
#
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Ansible is d... | 42.727273 | 137 | 0.715071 |
605e5ba542465d236c99c1654f2d7138207ee55d | 3,751 | py | Python | research/cv/stgcn/src/utility.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/stgcn/src/utility.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/stgcn/src/utility.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 34.1 | 93 | 0.661157 |
717fc92d06d8b606ab09ed90b150aa3633d8cd8a | 971 | py | Python | face_sdk/api_usage/face_crop.py | weihaoxie/FaceX-Zoo | db0b087e4f4d28152e172d6c8d3767a8870733b4 | [
"Apache-2.0"
] | 1,329 | 2021-01-13T07:06:30.000Z | 2022-03-31T07:23:39.000Z | face_sdk/api_usage/face_crop.py | weihaoxie/FaceX-Zoo | db0b087e4f4d28152e172d6c8d3767a8870733b4 | [
"Apache-2.0"
] | 115 | 2021-01-13T10:42:57.000Z | 2022-03-28T03:57:52.000Z | face_sdk/api_usage/face_crop.py | weihaoxie/FaceX-Zoo | db0b087e4f4d28152e172d6c8d3767a8870733b4 | [
"Apache-2.0"
] | 351 | 2021-01-13T07:21:00.000Z | 2022-03-29T14:11:39.000Z | """
@author: JiXuan Xu, Jun Wang
@date: 20201015
@contact: jun21wangustc@gmail.com
"""
import sys
sys.path.append('.')
import logging
mpl_logger = logging.getLogger('matplotlib')
mpl_logger.setLevel(logging.WARNING)
import logging.config
logging.config.fileConfig("config/logging.conf")
logger = logging.getLogger('api'... | 32.366667 | 86 | 0.760041 |
e0804ce8566aa4a1f9127885216a5c7be2e727e9 | 180 | py | Python | exercises/en/solution_01_02_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | 2 | 2020-07-07T01:46:37.000Z | 2021-04-20T03:19:43.000Z | exercises/en/solution_01_02_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/en/solution_01_02_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | # Import spaCy
import spacy
# Create the English nlp object
nlp = spacy.blank("en")
# Process a text
doc = nlp("This is a sentence.")
# Print the document text
print(doc.text)
| 13.846154 | 32 | 0.705556 |
e0a1c10ae6390769c98af7f96fec6a9849765502 | 396 | py | Python | exercises/ja/test_03_03.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | 2 | 2020-07-07T01:46:37.000Z | 2021-04-20T03:19:43.000Z | exercises/ja/test_03_03.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/ja/test_03_03.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | def test():
assert nlp.meta["name"] == "core_news_sm", "正しいパイプラインをロードしましたか？"
assert nlp.meta["lang"] == "ja", "正しいパイプラインをロードしましたか？"
assert "print(nlp.pipe_names)" in __solution__, "パイプラインの名前をプリントしましたか？"
assert "print(nlp.pipeline)" in __solution__, "パイプラインをプリントしましたか？"
__msg__.good(
"Well do... | 39.6 | 85 | 0.707071 |
e809a6fba093e1a6e7525660b1fc58ee55f01ea9 | 7,631 | py | Python | nayuki_qrcodegen/qrcodegen-demo.py | TG-Techie/HackUMass0111 | 603344064605979b85a2e142caf7a2a7439d60f5 | [
"MIT"
] | 1 | 2022-02-15T08:51:55.000Z | 2022-02-15T08:51:55.000Z | hihope_neptune-oh_hid/00_src/v0.3/third_party/qrcodegen/python/qrcodegen-demo.py | dawmlight/vendor_oh_fun | bc9fb50920f06cd4c27399f60076f5793043c77d | [
"Apache-2.0"
] | 1 | 2019-10-19T09:24:56.000Z | 2019-10-20T05:37:06.000Z | hihope_neptune-oh_hid/00_src/v0.3/third_party/qrcodegen/python/qrcodegen-demo.py | dawmlight/vendor_oh_fun | bc9fb50920f06cd4c27399f60076f5793043c77d | [
"Apache-2.0"
] | 1 | 2019-10-18T14:18:28.000Z | 2019-10-18T14:18:28.000Z | #
# QR Code generator demo (Python 2, 3)
#
# Run this command-line program with no arguments. The program computes a bunch of demonstration
# QR Codes and prints them to the console. Also, the SVG code for one QR Code is printed as a sample.
#
# Copyright (c) Project Nayuki. (MIT License)
# https://www.nayuki.io/pag... | 40.807487 | 187 | 0.679727 |
1c3ba2386427f1f11255eabaa7bd9f3ff079e2ff | 604 | py | Python | exercises/fr/solution_02_06.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/fr/solution_02_06.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/fr/solution_02_06.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | import spacy
nlp = spacy.blank("fr")
# Importe les classes Doc et Span
from spacy.tokens import Doc, Span
words = ["Elle", "aime", "David", "Bowie"]
spaces = [True, True, True, False]
# Crée un doc à partir des mots et des espaces
doc = Doc(nlp.vocab, words=words, spaces=spaces)
print(doc.text)
# Crée un span pour... | 24.16 | 51 | 0.698675 |
1c4b56892f8c2ec0da93fecc9edd8661dc47cbad | 1,050 | py | Python | examples/all_pattern.py | xinetzone/dash-tests | cd4526caa2f9d906915c31370b3487bdcef92aa4 | [
"Apache-2.0"
] | 1 | 2022-03-01T07:38:32.000Z | 2022-03-01T07:38:32.000Z | examples/all_pattern.py | xinetzone/dash-tests | cd4526caa2f9d906915c31370b3487bdcef92aa4 | [
"Apache-2.0"
] | 12 | 2021-07-13T12:33:36.000Z | 2021-07-14T05:25:19.000Z | examples/all_pattern.py | xinetzone/dash-book | 1f624e87e2aa02c9931318918df969e44bdd2c07 | [
"Apache-2.0"
] | null | null | null | from dash import dcc, html
from dash.dependencies import Input, Output, State, ALL
from app import app
layout = html.Div([
html.Button("Add Filter", id="add-filter", n_clicks=0),
html.Div(id='dropdown-container', children=[]),
html.Div(id='dropdown-container-output')
])
@app.callback(
Output('dropdow... | 27.631579 | 61 | 0.607619 |
296caaca728dcc7dc00f0e5afcaeaeb1b1d89dfb | 5,535 | py | Python | rengine/exercises.py | noahsolomon0518/rengine | a544951c6b7dd707586cd3c4f84ddec554f1c96a | [
"MIT"
] | null | null | null | rengine/exercises.py | noahsolomon0518/rengine | a544951c6b7dd707586cd3c4f84ddec554f1c96a | [
"MIT"
] | null | null | null | rengine/exercises.py | noahsolomon0518/rengine | a544951c6b7dd707586cd3c4f84ddec554f1c96a | [
"MIT"
] | null | null | null | """Exercise object that can effectively be utilized in workout class"""
import random
from statistics import mean
from copy import deepcopy
from typing import List, Tuple
import numpy as np
from rengine.config import EXERCISE_CATEGORY_DATA, EquipmentAvailable, MuscleGroup
from rengine.config import ExerciseLoad, Exerc... | 46.125 | 207 | 0.737308 |
d3c20ba30c799ad0c4ece97ff2f9f54b53c716dc | 578 | py | Python | pacman-termux/test/pacman/tests/fileconflict006.py | Maxython/pacman-for-termux | 3b208eb9274cbfc7a27fca673ea8a58f09ebad47 | [
"MIT"
] | 23 | 2021-05-21T19:11:06.000Z | 2022-03-31T18:14:20.000Z | source/pacman-6.0.1/test/pacman/tests/fileconflict006.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 11 | 2021-05-21T12:08:44.000Z | 2021-12-21T08:30:08.000Z | source/pacman-6.0.1/test/pacman/tests/fileconflict006.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-09-26T08:44:40.000Z | 2021-09-26T08:44:40.000Z | self.description = "dir->symlink change during package upgrade (conflict)"
p1 = pmpkg("pkg1", "1.0-1")
p1.files = ["test/",
"test/file1",
"test/dir/file1",
"test/dir/file2"]
self.addpkg2db("local", p1)
p2 = pmpkg("pkg2")
p2.files = ["test/dir/file3"]
self.addpkg2db("local", p2)
p3... | 23.12 | 74 | 0.593426 |
733484cdfca22c03540f2693d3d1f87f9af290b4 | 4,479 | py | Python | shinrl/solvers/discrete_vi/_target_mixin.py | omron-sinicx/ShinRL | 09f4ae274a33d1fc1d9d542f816aef40014af6b5 | [
"MIT"
] | 34 | 2021-12-09T07:12:57.000Z | 2022-03-11T08:17:20.000Z | shinrl/solvers/discrete_vi/_target_mixin.py | omron-sinicx/ShinRL | 09f4ae274a33d1fc1d9d542f816aef40014af6b5 | [
"MIT"
] | null | null | null | shinrl/solvers/discrete_vi/_target_mixin.py | omron-sinicx/ShinRL | 09f4ae274a33d1fc1d9d542f816aef40014af6b5 | [
"MIT"
] | 4 | 2021-12-11T07:48:01.000Z | 2022-03-01T23:50:33.000Z | """MixIns to compute the target value of VI-based algorithms.
Author: Toshinori Kitamura
Affiliation: NAIST & OSX
"""
from chex import Array
import shinrl as srl
class TargetMixIn:
def target_tabular_dp(self, data: srl.DataDict) -> Array:
raise NotImplementedError
def target_tabular_rl(self, data: s... | 32.933824 | 82 | 0.602367 |
7df6f040321310b7773154fbaea2f2f2ac5edd00 | 2,038 | py | Python | official/cv/xception/export.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | official/cv/xception/export.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | official/cv/xception/export.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2020 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 35.754386 | 93 | 0.722767 |
b40e21f394f4b34daf2d5543856ad12c0a26c351 | 441 | py | Python | examples/08 langDict/LangBot.py | Killerhaschen/marvin-telegram-bot | c65e890a00450ed6ed4312d93e259db0c080ef6d | [
"MIT"
] | 1 | 2020-01-16T08:40:00.000Z | 2020-01-16T08:40:00.000Z | examples/08 langDict/LangBot.py | Killerhaschen/marvin-telegram-bot | c65e890a00450ed6ed4312d93e259db0c080ef6d | [
"MIT"
] | null | null | null | examples/08 langDict/LangBot.py | Killerhaschen/marvin-telegram-bot | c65e890a00450ed6ed4312d93e259db0c080ef6d | [
"MIT"
] | 1 | 2019-10-16T08:11:51.000Z | 2019-10-16T08:11:51.000Z | import asyncio
from samt import Bot, Answer, Context, Mode
marv = Bot()
@marv.default_answer
def default():
return 'unknown', Context.get('message').text
@marv.answer("/start")
async def start():
return Answer('greeting', Context.get('user'))
@marv.answer("Guten Tag")
def guten_tag():
a = Answer('gr... | 16.333333 | 50 | 0.666667 |
5ef3604f75bc55c135004958ca8e50533ed54c4d | 5,428 | py | Python | IdeaProjects/PandasProj/PandasCourse5.py | sinomiko/project | 00fadb0033645f103692f5b06c861939a9d4aa0e | [
"BSD-3-Clause"
] | 1 | 2018-12-30T14:07:42.000Z | 2018-12-30T14:07:42.000Z | IdeaProjects/PandasProj/PandasCourse5.py | sinomiko/project | 00fadb0033645f103692f5b06c861939a9d4aa0e | [
"BSD-3-Clause"
] | null | null | null | IdeaProjects/PandasProj/PandasCourse5.py | sinomiko/project | 00fadb0033645f103692f5b06c861939a9d4aa0e | [
"BSD-3-Clause"
] | null | null | null | # encoding: utf-8
import pandas as pd
import numpy as np
# 1.2 实验知识点
#
# 时间戳 Timestamp
# 时间索引 DatetimeIndex
# 时间转换 to_datatime
# 时间序列检索
# 时间序列计算
# 二、时间序列分析介绍
#
# 2.1 简介
#
# 时间序列（英语：time series）是实证经济学的一种统计方法，它是采用时间排序的一组随机变量，国内生产毛额（GDP）、消费者物价指数（CPI）、股价指数、利率、汇率等等都是时间序列。时间序列的时间间隔可以是分秒（如高频金融数据），可以是日、周、月、季度、年、甚至更大的时间单位。... | 24.232143 | 172 | 0.718312 |
6f568ef4980832456ce6c631d796eccf3dbb92df | 1,365 | py | Python | packages/watchmen-model/src/watchmen_model/system/data_source.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-model/src/watchmen_model/system/data_source.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-model/src/watchmen_model/system/data_source.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | from enum import Enum
from typing import List, Optional, Union
from pydantic import BaseModel
from watchmen_model.common import DataModel, DataSourceId, OptimisticLock, TenantBasedTuple
from watchmen_utilities import ArrayHelper
class DataSourceParam(DataModel, BaseModel):
name: str = None
value: str = None
cla... | 24.375 | 96 | 0.747985 |
6f6176605e1cf42838a610e1b32a84c5323efe5f | 1,479 | py | Python | covidash/data/preprocessing.py | CRitter93/covidash | 9daaa8e17c2487068bfd7a7b581880ee6698cedd | [
"Apache-2.0"
] | 1 | 2020-05-11T17:54:58.000Z | 2020-05-11T17:54:58.000Z | covidash/data/preprocessing.py | CRitter93/covidash | 9daaa8e17c2487068bfd7a7b581880ee6698cedd | [
"Apache-2.0"
] | null | null | null | covidash/data/preprocessing.py | CRitter93/covidash | 9daaa8e17c2487068bfd7a7b581880ee6698cedd | [
"Apache-2.0"
] | null | null | null | import pandas as pd
import json
import numpy as np
import pprint
# from shapely.geometry import Polygon, Point
import geopandas as gpd
from tqdm import tqdm
def read_json_data(json_file):
with open(json_file) as json_file:
json_data = json.load(json_file)
return json_data
def merge_hopital_with_stat... | 33.613636 | 121 | 0.678161 |
d28f383b3b641be6fe37ff39d7878d795e95a3d2 | 1,651 | py | Python | rawio/grouping/timestamp.py | hdkai/Raw-IO | f0fa928d7ef59a363c6f4c876d642af6dede6ae4 | [
"Apache-2.0"
] | null | null | null | rawio/grouping/timestamp.py | hdkai/Raw-IO | f0fa928d7ef59a363c6f4c876d642af6dede6ae4 | [
"Apache-2.0"
] | null | null | null | rawio/grouping/timestamp.py | hdkai/Raw-IO | f0fa928d7ef59a363c6f4c876d642af6dede6ae4 | [
"Apache-2.0"
] | null | null | null | #
# RawIO
# Copyright (c) 2021 Yusuf Olokoba.
#
from dateutil.parser import parse as parse_datetime
from PIL import Image
from typing import Callable
def timestamp_similarity (max_delta_time: float=6.) -> Callable[[str, str], bool]:
"""
Create a similarity function which uses temporal proximity as a prox... | 31.150943 | 113 | 0.667474 |
815caa00acc103b5561bd58e974267e4156adda5 | 5,387 | py | Python | MA/Robot_V002b.py | mirrorcoloured/slcypi | c47975b3523f770d12a521c82e2dfca181e3f35b | [
"MIT"
] | null | null | null | MA/Robot_V002b.py | mirrorcoloured/slcypi | c47975b3523f770d12a521c82e2dfca181e3f35b | [
"MIT"
] | null | null | null | MA/Robot_V002b.py | mirrorcoloured/slcypi | c47975b3523f770d12a521c82e2dfca181e3f35b | [
"MIT"
] | null | null | null | #!/usr/bin/python
import sys
sys.path.append("/home/pi/Documents/Robots/slcypi/MA") ### ADD PATH
sys.path.append("/home/pi/Documents/Robots/slcypi/HAT_Python3") ### ADD PATH
import time
from time import sleep
import atexit
import pygame
import pygame.camera
from PIL import Image
#from pylab import *
from Tank import T... | 41.75969 | 101 | 0.374234 |
6f9c5de3ca64f08169d537485009741bbe8b12c3 | 1,623 | py | Python | frappe-bench/apps/erpnext/erpnext/stock/doctype/item_alternative/item_alternative.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/stock/doctype/item_alternative/item_alternative.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/stock/doctype/item_alternative/item_alternative.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2018, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe import _
from frappe.model.document import Document
class ItemAlternative(Document):
def validate(self):
s... | 40.575 | 95 | 0.741836 |
6fad16cee289abdaf9a983e71d23f92f5203a4e3 | 772 | py | Python | main.py | jakoubek/Technotes | 7748d20100706e408e1d89c841098f987d0e1492 | [
"MIT"
] | null | null | null | main.py | jakoubek/Technotes | 7748d20100706e408e1d89c841098f987d0e1492 | [
"MIT"
] | 3 | 2022-03-27T08:37:43.000Z | 2022-03-30T15:23:46.000Z | main.py | jakoubek/Technotes | 7748d20100706e408e1d89c841098f987d0e1492 | [
"MIT"
] | null | null | null | def define_env(env):
"Definition of the module"
@env.macro
def feedback(title, section, slug):
email_address = f"{section}+{slug}@technotes.jakoubek.net"
md = "\n\n## Feedback / Kontakt\n\n"
md += f"Wenn Sie Fragen oder Anregungen zum Artikel *{title}* haben, senden Sie mir bitte ei... | 42.888889 | 184 | 0.643782 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.