hexsha stringlengths 40 40 | size int64 5 2.06M | ext stringclasses 10
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 3 248 | max_stars_repo_name stringlengths 5 125 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | 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 3 248 | max_issues_repo_name stringlengths 5 125 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 67k ⌀ | 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 3 248 | max_forks_repo_name stringlengths 5 125 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 5 2.06M | avg_line_length float64 1 1.02M | max_line_length int64 3 1.03M | alphanum_fraction float64 0 1 | count_classes int64 0 1.6M | score_classes float64 0 1 | count_generators int64 0 651k | score_generators float64 0 1 | count_decorators int64 0 990k | score_decorators float64 0 1 | count_async_functions int64 0 235k | score_async_functions float64 0 1 | count_documentation int64 0 1.04M | score_documentation float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a2cef5581d6639f72a0f834dc67419807bab8ec4 | 759 | py | Python | dear_petition/petition/migrations/0008_auto_20200208_0222.py | robert-w-gries/dear-petition | 35244afc8e967b41ae5265ae31fd13b26e4e835a | [
"MIT"
] | 4 | 2020-04-01T14:42:45.000Z | 2021-12-12T21:11:11.000Z | dear_petition/petition/migrations/0008_auto_20200208_0222.py | robert-w-gries/dear-petition | 35244afc8e967b41ae5265ae31fd13b26e4e835a | [
"MIT"
] | 142 | 2019-08-12T19:08:34.000Z | 2022-03-29T23:05:35.000Z | dear_petition/petition/migrations/0008_auto_20200208_0222.py | robert-w-gries/dear-petition | 35244afc8e967b41ae5265ae31fd13b26e4e835a | [
"MIT"
] | 8 | 2020-02-04T20:37:00.000Z | 2021-03-28T13:28:32.000Z | # Generated by Django 2.2.4 on 2020-02-08 02:22
from django.db import migrations
def move_batch_fks(apps, schema_editor):
Batch = apps.get_model("petition", "Batch")
CIPRSRecord = apps.get_model("petition", "CIPRSRecord")
for batch in Batch.objects.all():
print(f"Adding batch {batch.pk} to {batch... | 29.192308 | 76 | 0.671937 | 172 | 0.226614 | 0 | 0 | 0 | 0 | 0 | 0 | 187 | 0.246377 |
a2cf483b7a318378a4b51126b7de177267f4c55e | 23 | py | Python | auto_ml/_version.py | amlanbanerjee/auto_ml | db8e1d2cfa93f13a21e55739acfc8d99837e91b0 | [
"MIT"
] | 1,671 | 2016-08-09T04:44:48.000Z | 2022-03-27T01:29:23.000Z | auto_ml/_version.py | amlanbanerjee/auto_ml | db8e1d2cfa93f13a21e55739acfc8d99837e91b0 | [
"MIT"
] | 428 | 2016-08-08T00:13:04.000Z | 2022-01-19T10:09:05.000Z | auto_ml/_version.py | amlanbanerjee/auto_ml | db8e1d2cfa93f13a21e55739acfc8d99837e91b0 | [
"MIT"
] | 334 | 2016-08-29T12:34:18.000Z | 2022-01-31T09:14:30.000Z | __version__ = "2.9.10"
| 11.5 | 22 | 0.652174 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0.347826 |
a2d07750f771787adbd733681780afac8dc73bc5 | 3,442 | py | Python | maya/libs/sceneutils.py | bhsingleton/dcc | 9ad59f1cb8282df938062e15c020688dd268a722 | [
"MIT"
] | 1 | 2021-08-06T16:04:24.000Z | 2021-08-06T16:04:24.000Z | maya/libs/sceneutils.py | bhsingleton/dcc | 9ad59f1cb8282df938062e15c020688dd268a722 | [
"MIT"
] | null | null | null | maya/libs/sceneutils.py | bhsingleton/dcc | 9ad59f1cb8282df938062e15c020688dd268a722 | [
"MIT"
] | 1 | 2021-08-06T16:04:31.000Z | 2021-08-06T16:04:31.000Z | import maya.cmds as mc
import os
import logging
logging.basicConfig()
log = logging.getLogger(__name__)
log.setLevel(logging.INFO)
def isNewScene():
"""
Method used to check if this is an untitled scene file.
:rtype: bool
"""
return len(mc.file(query=True, sceneName=True)) == 0
def isSaveRequ... | 20.011628 | 92 | 0.621732 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,446 | 0.420105 |
a2d10542879056ad7800cdebe98204d350251551 | 346 | py | Python | diffir/__init__.py | capreolus-ir/diffir | 90906ce4b7d5f23d6190eea26020f9e4096cb0cd | [
"Apache-2.0"
] | 12 | 2021-03-10T17:04:05.000Z | 2022-01-13T15:44:34.000Z | diffir/__init__.py | capreolus-ir/diffir | 90906ce4b7d5f23d6190eea26020f9e4096cb0cd | [
"Apache-2.0"
] | 7 | 2021-05-19T21:28:52.000Z | 2021-12-16T16:01:40.000Z | diffir/__init__.py | capreolus-ir/diffir | 90906ce4b7d5f23d6190eea26020f9e4096cb0cd | [
"Apache-2.0"
] | null | null | null | __version__ = "0.2.0"
from diffir.weight import Weight
from diffir.weight.custom import CustomWeight
from diffir.weight.unsupervised import ExactMatchWeight
from diffir.measure import Measure
from diffir.measure.qrels import QrelMeasure
from diffir.measure.unsupervised import TopkMeasure
from diffir.weight.weights_bui... | 34.6 | 55 | 0.858382 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0.020231 |
a2d1763a00e0070a7178e1445d0a7e1fdef3a6a9 | 34,160 | py | Python | tool/pylib/generator/output/PartBuilder.py | mever/qooxdoo | 2bb08cb6c4ddfaf2425e6efff07deb17e960a050 | [
"MIT"
] | 1 | 2021-02-05T23:00:25.000Z | 2021-02-05T23:00:25.000Z | tool/pylib/generator/output/PartBuilder.py | mever/qooxdoo | 2bb08cb6c4ddfaf2425e6efff07deb17e960a050 | [
"MIT"
] | 3 | 2019-02-18T04:22:52.000Z | 2021-02-21T15:02:54.000Z | tool/pylib/generator/output/PartBuilder.py | mever/qooxdoo | 2bb08cb6c4ddfaf2425e6efff07deb17e960a050 | [
"MIT"
] | 1 | 2021-06-03T23:08:44.000Z | 2021-06-03T23:08:44.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
################################################################################
#
# qooxdoo - the new era of web development
#
# http://qooxdoo.org
#
# Copyright:
# 2006-2010 1&1 Internet AG, Germany, http://www.1und1.de
#
# License:
# MIT: https://opensource.org... | 42.593516 | 157 | 0.600907 | 33,084 | 0.968501 | 2,378 | 0.069614 | 0 | 0 | 0 | 0 | 10,618 | 0.310831 |
a2d2d2628caff1c2156c6ad988dc74d14a5fd8cd | 6,486 | py | Python | factorizer/datasets/wmh.py | pashtari/factorizer | 730f295b403a90c1c691f99b529d5d32b635d0c6 | [
"Apache-2.0"
] | 7 | 2022-03-05T00:43:29.000Z | 2022-03-07T01:23:08.000Z | factorizer/datasets/wmh.py | pashtari/factorizer | 730f295b403a90c1c691f99b529d5d32b635d0c6 | [
"Apache-2.0"
] | null | null | null | factorizer/datasets/wmh.py | pashtari/factorizer | 730f295b403a90c1c691f99b529d5d32b635d0c6 | [
"Apache-2.0"
] | 1 | 2022-03-21T05:28:23.000Z | 2022-03-21T05:28:23.000Z | import sys
import numpy as np
import torch
from monai import transforms, data
from ..data import DataModule, ReadImaged, Renamed, Inferer
###################################
# Transform
###################################
def wmh_train_transform(
spacing=(1.0, 1.0, 1.0), spatial_size=(128, 128, 128), num_patc... | 31.033493 | 79 | 0.561671 | 2,489 | 0.38375 | 0 | 0 | 0 | 0 | 0 | 0 | 773 | 0.11918 |
a2d721ef72b39de52022137d721dac292cbddcad | 890 | py | Python | Python/Topics/Sending-Email/05-pdf-attachment.py | shihab4t/Software-Development | 0843881f2ba04d9fca34e44443b5f12f509f671e | [
"Unlicense"
] | null | null | null | Python/Topics/Sending-Email/05-pdf-attachment.py | shihab4t/Software-Development | 0843881f2ba04d9fca34e44443b5f12f509f671e | [
"Unlicense"
] | null | null | null | Python/Topics/Sending-Email/05-pdf-attachment.py | shihab4t/Software-Development | 0843881f2ba04d9fca34e44443b5f12f509f671e | [
"Unlicense"
] | null | null | null | import imghdr
import smtplib
import os
from email.message import EmailMessage
EMAIL_ADDRESS = os.environ.get("GMAIL_ADDRESS")
EMAIL_PASSWORD = os.environ.get("GMAIL_APP_PASS")
pdfs = ["/home/shihab4t/Downloads/Profile.pdf"]
with smtplib.SMTP_SSL("smtp.gmail.com", 465) as smtp:
smtp.login(EMAIL_ADDRESS, EMAIL_P... | 26.969697 | 69 | 0.665169 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 258 | 0.289888 |
a2d7927bd74ff2bc70037658a7110cb4dffa918c | 43 | py | Python | rcds/project/__init__.py | jordanbertasso/rcds | d3d655a59a350042d65476793db84e761de04829 | [
"BSD-3-Clause"
] | 5 | 2020-07-13T12:40:02.000Z | 2021-08-21T11:18:28.000Z | rcds/project/__init__.py | jordanbertasso/rcds | d3d655a59a350042d65476793db84e761de04829 | [
"BSD-3-Clause"
] | 144 | 2020-07-06T11:26:49.000Z | 2022-02-01T14:33:28.000Z | rcds/project/__init__.py | jordanbertasso/rcds | d3d655a59a350042d65476793db84e761de04829 | [
"BSD-3-Clause"
] | 7 | 2020-07-22T12:38:32.000Z | 2021-12-21T14:27:54.000Z | from .project import Project # noqa: F401
| 21.5 | 42 | 0.744186 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0.27907 |
a2d972366674ffee05dbeed1f54a9dc88de6bb40 | 163 | py | Python | MyEircode.py | MrBrianMonaghan/mapping | 1b525eaaad3b22709a53167b46c901ece365ecab | [
"Apache-2.0"
] | null | null | null | MyEircode.py | MrBrianMonaghan/mapping | 1b525eaaad3b22709a53167b46c901ece365ecab | [
"Apache-2.0"
] | null | null | null | MyEircode.py | MrBrianMonaghan/mapping | 1b525eaaad3b22709a53167b46c901ece365ecab | [
"Apache-2.0"
] | null | null | null | import selenium
from selenium import webdriver
try:
browser = webdriver.Firefox()
browser.get('mikekus.com')
except KeyboardInterrupt:
browser.quit()
| 18.111111 | 33 | 0.742331 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0.079755 |
a2d986e45466635f24a005d6cc044f9cdfb62b88 | 740 | py | Python | tests/test_rotor/rotor_test.py | axevalley/enigma | fdfa5a85dbd4675f195e00e4b7e22d976a3d9015 | [
"MIT"
] | null | null | null | tests/test_rotor/rotor_test.py | axevalley/enigma | fdfa5a85dbd4675f195e00e4b7e22d976a3d9015 | [
"MIT"
] | 28 | 2019-07-30T16:15:52.000Z | 2022-03-14T19:14:25.000Z | tests/test_rotor/rotor_test.py | lukeshiner/enigma | 917066c8f33f67b43f092800ba46220d107f622b | [
"MIT"
] | null | null | null | """Base class for rotor tests."""
import unittest
from enigma.rotor.reflector import Reflector
from enigma.rotor.rotor import Rotor
class RotorTest(unittest.TestCase):
"""Provides tools testing rotors."""
def get_rotor(
self,
wiring="EKMFLGDQVZNTOWYHXUSPAIBRCJ",
ring_setting=1,
... | 24.666667 | 65 | 0.631081 | 603 | 0.814865 | 0 | 0 | 0 | 0 | 0 | 0 | 187 | 0.252703 |
a2deabeee99e67fa9e9a47d417ca86a406f16c31 | 2,186 | py | Python | kyu_8/check_the_exam/test_check_exam.py | pedrocodacyorg2/codewars | ba3ea81125b6082d867f0ae34c6c9be15e153966 | [
"Unlicense"
] | 1 | 2022-02-12T05:56:04.000Z | 2022-02-12T05:56:04.000Z | kyu_8/check_the_exam/test_check_exam.py | pedrocodacyorg2/codewars | ba3ea81125b6082d867f0ae34c6c9be15e153966 | [
"Unlicense"
] | 182 | 2020-04-30T00:51:36.000Z | 2021-09-07T04:15:05.000Z | kyu_8/check_the_exam/test_check_exam.py | pedrocodacyorg2/codewars | ba3ea81125b6082d867f0ae34c6c9be15e153966 | [
"Unlicense"
] | 4 | 2020-04-29T22:04:20.000Z | 2021-07-13T20:04:14.000Z | # Created by Egor Kostan.
# GitHub: https://github.com/ikostan
# LinkedIn: https://www.linkedin.com/in/egor-kostan/
# FUNDAMENTALS ARRAYS NUMBERS BASIC LANGUAGE FEATURES
import unittest
import allure
from utils.log_func import print_log
from kyu_8.check_the_exam.check_exam import check_exam
@allure.epic('8 kyu')... | 34.15625 | 94 | 0.531565 | 1,512 | 0.691674 | 0 | 0 | 1,886 | 0.862763 | 0 | 0 | 1,001 | 0.457914 |
a2dec2415ed78800e66aae16391df2b37d8f56eb | 1,193 | py | Python | pysoup/venv/__init__.py | illBeRoy/pysoup | 742fd6630e1be27c275cb8dc6ee94412472cb20b | [
"MIT"
] | 4 | 2016-02-21T12:40:44.000Z | 2019-06-13T13:23:19.000Z | pysoup/venv/__init__.py | illBeRoy/pysoup | 742fd6630e1be27c275cb8dc6ee94412472cb20b | [
"MIT"
] | null | null | null | pysoup/venv/__init__.py | illBeRoy/pysoup | 742fd6630e1be27c275cb8dc6ee94412472cb20b | [
"MIT"
] | 1 | 2020-07-16T12:22:12.000Z | 2020-07-16T12:22:12.000Z | import os.path
from twisted.internet import defer
import pysoup.utils
class Virtualenv(object):
def __init__(self, display_pip, path):
self._display_pipe = display_pip
self._path = path
@property
def path(self):
return self._path
@property
def venv_path(self):
... | 29.097561 | 134 | 0.668064 | 1,118 | 0.937133 | 665 | 0.557418 | 952 | 0.797988 | 0 | 0 | 228 | 0.191115 |
a2df2293ad90461c1622171c3d5669f2f6f7fd84 | 2,791 | py | Python | yggdrasil/metaschema/datatypes/InstanceMetaschemaType.py | astro-friedel/yggdrasil | 5ecbfd083240965c20c502b4795b6dc93d94b020 | [
"BSD-3-Clause"
] | null | null | null | yggdrasil/metaschema/datatypes/InstanceMetaschemaType.py | astro-friedel/yggdrasil | 5ecbfd083240965c20c502b4795b6dc93d94b020 | [
"BSD-3-Clause"
] | null | null | null | yggdrasil/metaschema/datatypes/InstanceMetaschemaType.py | astro-friedel/yggdrasil | 5ecbfd083240965c20c502b4795b6dc93d94b020 | [
"BSD-3-Clause"
] | null | null | null | from yggdrasil.metaschema.datatypes import MetaschemaTypeError
from yggdrasil.metaschema.datatypes.MetaschemaType import MetaschemaType
from yggdrasil.metaschema.datatypes.JSONObjectMetaschemaType import (
JSONObjectMetaschemaType)
from yggdrasil.metaschema.properties.ArgsMetaschemaProperty import (
ArgsMetasch... | 34.036585 | 78 | 0.636331 | 2,455 | 0.879613 | 0 | 0 | 2,023 | 0.72483 | 0 | 0 | 1,284 | 0.46005 |
a2df9c5cd443a1cdbe81e54c4e448271480f6781 | 368 | py | Python | battleships/migrations/0004_auto_20181202_1852.py | ArturAdamczyk/Battleships | 748e4fa87ed0c17c57abbdf5a0a2bca3c91dff24 | [
"MIT"
] | null | null | null | battleships/migrations/0004_auto_20181202_1852.py | ArturAdamczyk/Battleships | 748e4fa87ed0c17c57abbdf5a0a2bca3c91dff24 | [
"MIT"
] | null | null | null | battleships/migrations/0004_auto_20181202_1852.py | ArturAdamczyk/Battleships | 748e4fa87ed0c17c57abbdf5a0a2bca3c91dff24 | [
"MIT"
] | null | null | null | # Generated by Django 2.1.3 on 2018-12-02 17:52
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('battleships', '0003_auto_20181202_1832'),
]
operations = [
migrations.RenameField(
model_name='coordinate',
old_name='ship',... | 19.368421 | 51 | 0.589674 | 283 | 0.769022 | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 0.298913 |
a2e147bc50d8522b84f76610398b1cf2e73d60bb | 11,168 | py | Python | jme/stagecache/text_metadata.py | jmeppley/stagecache | a44f93b7936e1c6ea40dec0a31ad9c19d2415f3a | [
"MIT"
] | null | null | null | jme/stagecache/text_metadata.py | jmeppley/stagecache | a44f93b7936e1c6ea40dec0a31ad9c19d2415f3a | [
"MIT"
] | null | null | null | jme/stagecache/text_metadata.py | jmeppley/stagecache | a44f93b7936e1c6ea40dec0a31ad9c19d2415f3a | [
"MIT"
] | null | null | null | """
Functions for storing and retrieving cache metadata from text files.
Each Cache asset is a path: /path/filename
There are four metadata files in the cache for each:
/path/.stagecache.filename/size The size of the asset in bytes
/path/.stagecache.filename/cache_lock The requested end time of the cache... | 36.980132 | 86 | 0.576916 | 9,065 | 0.811694 | 1,039 | 0.093034 | 553 | 0.049516 | 0 | 0 | 3,480 | 0.311605 |
a2e1fed84d2ed3d71ec400a1f6a513cfa6d50f07 | 3,858 | py | Python | lib/roi_data/minibatch.py | BarneyQiao/pcl.pytorch | 4e0280e5e1470f705e620eda26f881d627c5016c | [
"MIT"
] | 233 | 2019-05-10T07:17:42.000Z | 2022-03-30T09:24:16.000Z | lib/roi_data/minibatch.py | Michael-Steven/Crack_Image_WSOD | 4e8591a7c0768cee9eb7240bb9debd54824f5b33 | [
"MIT"
] | 78 | 2019-05-10T21:10:47.000Z | 2022-03-29T13:57:32.000Z | lib/roi_data/minibatch.py | Michael-Steven/Crack_Image_WSOD | 4e8591a7c0768cee9eb7240bb9debd54824f5b33 | [
"MIT"
] | 57 | 2019-05-10T07:17:37.000Z | 2022-03-24T04:43:24.000Z | import numpy as np
import numpy.random as npr
import cv2
from core.config import cfg
import utils.blob as blob_utils
def get_minibatch_blob_names(is_training=True):
"""Return blob names in the order in which they are read by the data loader.
"""
# data blob: holds a batch of N images, each with 3 channel... | 33.842105 | 80 | 0.630897 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,106 | 0.286677 |
a2e200b1e2fac4ccc713c3e1526076efebc09cea | 1,288 | py | Python | src/PrimaryInputs.py | elastacloud/input-output-tables | 82f932c8627071bc245e178f5b47a7c1104c4e4c | [
"Apache-2.0"
] | null | null | null | src/PrimaryInputs.py | elastacloud/input-output-tables | 82f932c8627071bc245e178f5b47a7c1104c4e4c | [
"Apache-2.0"
] | null | null | null | src/PrimaryInputs.py | elastacloud/input-output-tables | 82f932c8627071bc245e178f5b47a7c1104c4e4c | [
"Apache-2.0"
] | null | null | null | import abc
import os
import pandas as pd
import numpy as np
from EoraReader import EoraReader
class PrimaryInputs(EoraReader):
def __init__(self, file_path):
super().__init__(file_path)
self.df = None
def get_dataset(self, extended = False):
"""
Returns a pandas dataframe conta... | 35.777778 | 96 | 0.615683 | 1,192 | 0.925466 | 0 | 0 | 0 | 0 | 0 | 0 | 183 | 0.142081 |
a2e589c4ee6ca6ac8b468da944e0f2d14d31872f | 695 | py | Python | toto/methods/client_error.py | VNUELIVE/Toto | 6940b4114fc6b680e0d40ae248b7d2599c954f81 | [
"MIT"
] | null | null | null | toto/methods/client_error.py | VNUELIVE/Toto | 6940b4114fc6b680e0d40ae248b7d2599c954f81 | [
"MIT"
] | null | null | null | toto/methods/client_error.py | VNUELIVE/Toto | 6940b4114fc6b680e0d40ae248b7d2599c954f81 | [
"MIT"
] | null | null | null | import logging
from toto.invocation import *
@requires('client_error', 'client_type')
def invoke(handler, parameters):
'''A convenince method for writing browser errors
to Toto's server log. It works with the ``registerErrorHandler()`` method in ``toto.js``.
The "client_error" parameter should be set to the str... | 36.578947 | 91 | 0.723741 | 0 | 0 | 0 | 0 | 648 | 0.932374 | 0 | 0 | 502 | 0.722302 |
a2e5b6c37644bb0cda6e0ffc3d078b3332260604 | 1,945 | py | Python | parallelformers/policies/gptj.py | Oaklight/parallelformers | 57fc36f81734c29aaf814e092ce13681d3c28ede | [
"Apache-2.0"
] | 454 | 2021-07-18T02:51:23.000Z | 2022-03-31T04:00:53.000Z | parallelformers/policies/gptj.py | Oaklight/parallelformers | 57fc36f81734c29aaf814e092ce13681d3c28ede | [
"Apache-2.0"
] | 16 | 2021-07-18T10:47:21.000Z | 2022-03-22T18:49:57.000Z | parallelformers/policies/gptj.py | Oaklight/parallelformers | 57fc36f81734c29aaf814e092ce13681d3c28ede | [
"Apache-2.0"
] | 33 | 2021-07-18T04:48:28.000Z | 2022-03-14T22:16:36.000Z | # Copyright 2021 TUNiB inc.
#
# 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, softw... | 28.188406 | 74 | 0.607712 | 1,204 | 0.619023 | 0 | 0 | 1,144 | 0.588175 | 0 | 0 | 801 | 0.411825 |
a2e61afbf4f6a03e376d0464c7acf87dc5bb080e | 503 | py | Python | app/modules/checkerbox.py | hboueix/PyCheckers | c1339a004f30f76a33461b52f9633bbbd1204bb0 | [
"MIT"
] | null | null | null | app/modules/checkerbox.py | hboueix/PyCheckers | c1339a004f30f76a33461b52f9633bbbd1204bb0 | [
"MIT"
] | null | null | null | app/modules/checkerbox.py | hboueix/PyCheckers | c1339a004f30f76a33461b52f9633bbbd1204bb0 | [
"MIT"
] | null | null | null | import pygame
class Checkerbox(pygame.sprite.Sprite):
def __init__(self, size, color, coords):
super().__init__()
self.rect = pygame.Rect(coords[0], coords[1], size, size)
self.color = color
self.hovered = False
def draw(self, screen):
pygame.draw.rect(screen, self.co... | 23.952381 | 65 | 0.606362 | 485 | 0.964215 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a2e6d1a1d562ff46afccc16626cb0e1d9bd964d4 | 1,319 | py | Python | tests/python/test_talos_walk_sl1m_topt.py | daeunSong/multicontact-locomotion-planning | 0aeabe6a7a8d49e54d6996a6126740cc90aa0050 | [
"BSD-2-Clause"
] | 31 | 2019-11-08T14:46:03.000Z | 2022-03-25T08:09:16.000Z | tests/python/test_talos_walk_sl1m_topt.py | pFernbach/multicontact-locomotion-planning | 86c3e64fd0ee57b1e4061351a16e43e6ba0e15c2 | [
"BSD-2-Clause"
] | 21 | 2019-04-12T13:13:31.000Z | 2021-04-02T14:28:15.000Z | tests/python/test_talos_walk_sl1m_topt.py | pFernbach/multicontact-locomotion-planning | 86c3e64fd0ee57b1e4061351a16e43e6ba0e15c2 | [
"BSD-2-Clause"
] | 11 | 2019-04-12T13:03:55.000Z | 2021-11-22T08:19:06.000Z | # Copyright (c) 2020, CNRS
# Authors: Pierre Fernbach <[email protected]>
import unittest
import subprocess
import time
from mlp import LocoPlanner, Config
from utils import check_motion
from hpp.corbaserver.rbprm.utils import ServerManager
class TestTalosWalkSl1mTopt(unittest.TestCase):
def test_talos_walk_sl1m_to... | 36.638889 | 125 | 0.718726 | 1,028 | 0.779378 | 0 | 0 | 0 | 0 | 0 | 0 | 176 | 0.133434 |
a2e7779c3e2b321cf059e7d364c94dc2593aa13c | 212 | py | Python | definitions.py | elpeix/kaa | b840613cb5eba876d937faf32031651332e5b5f6 | [
"MIT"
] | null | null | null | definitions.py | elpeix/kaa | b840613cb5eba876d937faf32031651332e5b5f6 | [
"MIT"
] | null | null | null | definitions.py | elpeix/kaa | b840613cb5eba876d937faf32031651332e5b5f6 | [
"MIT"
] | null | null | null | import os
import logging
ROOT_DIR = os.path.dirname(os.path.abspath(__file__))
DEBUG = True
LOG = logging.getLogger()
NAME = 'Sample Server'
VERSION = 'v1.0'
SERVER = 'example.SampleServer'
ENABLE_CORS = True
| 16.307692 | 53 | 0.740566 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43 | 0.20283 |
a2e9b6f6bd695b4f20c44aff1b1aeaa6c236f680 | 9,567 | py | Python | uncertainty_baselines/datasets/smcalflow.py | y0ast/uncertainty-baselines | 8d32c77ba0803ed715c1406378adf10ebd61ab74 | [
"Apache-2.0"
] | null | null | null | uncertainty_baselines/datasets/smcalflow.py | y0ast/uncertainty-baselines | 8d32c77ba0803ed715c1406378adf10ebd61ab74 | [
"Apache-2.0"
] | null | null | null | uncertainty_baselines/datasets/smcalflow.py | y0ast/uncertainty-baselines | 8d32c77ba0803ed715c1406378adf10ebd61ab74 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2021 The Uncertainty Baselines Authors.
#
# 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 ap... | 35.831461 | 93 | 0.691126 | 7,010 | 0.732727 | 0 | 0 | 0 | 0 | 0 | 0 | 3,764 | 0.393436 |
a2eb8907fa9fa5c982005554035cbb22b3ce7287 | 1,098 | py | Python | 1-FrequencyDivisionMultiplexing.py | mahnooranjum/Demo_CommunicationSystems | 6c3be46f9ad4a38bfe553b9a01855156713e49d9 | [
"MIT"
] | null | null | null | 1-FrequencyDivisionMultiplexing.py | mahnooranjum/Demo_CommunicationSystems | 6c3be46f9ad4a38bfe553b9a01855156713e49d9 | [
"MIT"
] | null | null | null | 1-FrequencyDivisionMultiplexing.py | mahnooranjum/Demo_CommunicationSystems | 6c3be46f9ad4a38bfe553b9a01855156713e49d9 | [
"MIT"
] | null | null | null | '''
==============================================================================
Author:
Mahnoor Anjum
Description:
Digital Multiplexing Techniques:
1- Frequency Division Multiplexing
Contact:
[email protected]
===========================================================... | 21.115385 | 78 | 0.547359 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 577 | 0.525501 |
a2ebe5b887b32f0561c68f37282697177b6753ec | 3,880 | py | Python | deep-rl/lib/python2.7/site-packages/OpenGL/GL/ATI/text_fragment_shader.py | ShujaKhalid/deep-rl | 99c6ba6c3095d1bfdab81bd01395ced96bddd611 | [
"MIT"
] | 210 | 2016-04-09T14:26:00.000Z | 2022-03-25T18:36:19.000Z | deep-rl/lib/python2.7/site-packages/OpenGL/GL/ATI/text_fragment_shader.py | ShujaKhalid/deep-rl | 99c6ba6c3095d1bfdab81bd01395ced96bddd611 | [
"MIT"
] | 72 | 2016-09-04T09:30:19.000Z | 2022-03-27T17:06:53.000Z | deep-rl/lib/python2.7/site-packages/OpenGL/GL/ATI/text_fragment_shader.py | ShujaKhalid/deep-rl | 99c6ba6c3095d1bfdab81bd01395ced96bddd611 | [
"MIT"
] | 64 | 2016-04-09T14:26:49.000Z | 2022-03-21T11:19:47.000Z | '''OpenGL extension ATI.text_fragment_shader
This module customises the behaviour of the
OpenGL.raw.GL.ATI.text_fragment_shader to provide a more
Python-friendly API
Overview (from the spec)
The ATI_fragment_shader extension exposes a powerful fragment
processing model that provides a very general means of expr... | 46.190476 | 71 | 0.802835 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,485 | 0.898196 |
a2ed46d6b33e4e8573f56ac8afc0ade0ec58667b | 7,311 | py | Python | vhog3d.py | parthsuresh/3dvhog | 9a439687a0ce30b86b7730a61733b3f3845d27c5 | [
"MIT"
] | 3 | 2021-05-18T07:48:39.000Z | 2021-12-23T06:35:41.000Z | vhog3d.py | parthsuresh/3dvhog | 9a439687a0ce30b86b7730a61733b3f3845d27c5 | [
"MIT"
] | null | null | null | vhog3d.py | parthsuresh/3dvhog | 9a439687a0ce30b86b7730a61733b3f3845d27c5 | [
"MIT"
] | null | null | null | import numpy as np
import math
from scipy.ndimage import convolve
from tqdm import tqdm
def hog3d(vox_volume, cell_size, block_size, theta_histogram_bins, phi_histogram_bins, step_size=None):
"""
Inputs
vox_volume : a [x x y x z] numpy array defining voxels with values in the range 0-1
cell_size : s... | 43.778443 | 117 | 0.591164 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 804 | 0.109971 |
a2ee6d19098aed822e580f589bbcc0c4df0bf0c1 | 320 | py | Python | tests/urls.py | skioo/django-datatrans | c2159b08935cd0c70355ca6e8ff92bbe86d372cd | [
"MIT"
] | 9 | 2017-09-12T12:45:30.000Z | 2022-03-30T13:53:57.000Z | tests/urls.py | skioo/django-datatrans | c2159b08935cd0c70355ca6e8ff92bbe86d372cd | [
"MIT"
] | null | null | null | tests/urls.py | skioo/django-datatrans | c2159b08935cd0c70355ca6e8ff92bbe86d372cd | [
"MIT"
] | 1 | 2021-11-08T10:21:01.000Z | 2021-11-08T10:21:01.000Z | from django.urls import include, path
from datatrans.views import example
urlpatterns = [
path(r'^datatrans/', include('datatrans.urls')),
path(r'^example/register-credit-card$', example.register_credit_card, name='example_register_credit_card'),
path(r'^example/pay$', example.pay, name='example_pay'),
]
| 32 | 111 | 0.7375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 122 | 0.38125 |
a2f252e2b9ab4a63f342c14ab8d8666d4956f841 | 11,160 | py | Python | gibbs/minimization.py | volpatto/gibbs | 776acff6166dd4fd3039d55074542d995ac91754 | [
"MIT"
] | 28 | 2019-05-25T14:50:00.000Z | 2022-01-18T00:54:22.000Z | gibbs/minimization.py | volpatto/gibbs | 776acff6166dd4fd3039d55074542d995ac91754 | [
"MIT"
] | 10 | 2019-06-15T06:07:14.000Z | 2021-09-01T04:32:50.000Z | gibbs/minimization.py | volpatto/gibbs | 776acff6166dd4fd3039d55074542d995ac91754 | [
"MIT"
] | 5 | 2019-08-04T05:37:34.000Z | 2022-01-18T10:10:40.000Z | import attr
import types
from typing import Union
from enum import Enum
import numpy as np
from scipy.optimize import differential_evolution
import pygmo as pg
class OptimizationMethod(Enum):
"""
Available optimization solvers.
"""
SCIPY_DE = 1
PYGMO_DE1220 = 2
@attr.s(auto_attribs=True)
class S... | 38.088737 | 133 | 0.664606 | 10,817 | 0.969265 | 0 | 0 | 10,858 | 0.972939 | 0 | 0 | 3,109 | 0.278584 |
a2f4994690266aa4a640429912d46124db104724 | 1,461 | py | Python | tests/unittests/types/test_array.py | TrigonDev/apgorm | 5b593bfb5a200708869e079248c25786608055d6 | [
"MIT"
] | 8 | 2022-01-21T23:07:29.000Z | 2022-03-26T12:03:57.000Z | tests/unittests/types/test_array.py | TrigonDev/apgorm | 5b593bfb5a200708869e079248c25786608055d6 | [
"MIT"
] | 22 | 2021-12-23T00:43:41.000Z | 2022-03-23T13:17:32.000Z | tests/unittests/types/test_array.py | TrigonDev/apgorm | 5b593bfb5a200708869e079248c25786608055d6 | [
"MIT"
] | 3 | 2022-01-15T20:58:33.000Z | 2022-01-26T21:36:13.000Z | # MIT License
#
# Copyright (c) 2021 TrigonDev
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, pu... | 38.447368 | 79 | 0.750171 | 0 | 0 | 0 | 0 | 165 | 0.112936 | 0 | 0 | 1,130 | 0.773443 |
a2f56add77b1581d6619a3c899c2460cc7dc3102 | 137 | py | Python | cisco_support/__version__.py | rothdennis/cisco_support | c20b955794400eb565fa5c178749c2ee6ef7dc0f | [
"MIT"
] | 4 | 2021-09-09T07:24:13.000Z | 2022-03-04T19:51:01.000Z | cisco_support/__version__.py | rothdennis/cisco_support | c20b955794400eb565fa5c178749c2ee6ef7dc0f | [
"MIT"
] | null | null | null | cisco_support/__version__.py | rothdennis/cisco_support | c20b955794400eb565fa5c178749c2ee6ef7dc0f | [
"MIT"
] | null | null | null | __title__ = 'cisco_support'
__description__ = 'Cisco Support APIs'
__version__ = '0.1.0'
__author__ = 'Dennis Roth'
__license__ = 'MIT'
| 19.571429 | 38 | 0.737226 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 0.437956 |
a2f8a7986f7bf085148eeaed0a44176810f81182 | 747 | py | Python | code/searchers.py | trunc8/mespp | 8348bdd0ba8f584ef7196c0064b8e5bafa38a0fb | [
"MIT"
] | 2 | 2021-07-07T17:01:17.000Z | 2022-03-30T05:28:44.000Z | code/searchers.py | trunc8/mespp | 8348bdd0ba8f584ef7196c0064b8e5bafa38a0fb | [
"MIT"
] | null | null | null | code/searchers.py | trunc8/mespp | 8348bdd0ba8f584ef7196c0064b8e5bafa38a0fb | [
"MIT"
] | 1 | 2021-07-07T17:00:54.000Z | 2021-07-07T17:00:54.000Z | #!/usr/bin/env python3
# trunc8 did this
import numpy as np
class Searchers:
def __init__(self, g,
N=100,
M=2,
initial_positions=np.array([90,58]),
target_initial_position=45):
'''
g: Graph of environment
N: Number of vertices
M: Number of ... | 25.758621 | 58 | 0.649264 | 685 | 0.917001 | 0 | 0 | 0 | 0 | 0 | 0 | 221 | 0.29585 |
a2fa1506f35030e5726f14dab7372d11ea530f9d | 1,015 | py | Python | vogue/api/api_v1/api.py | mayabrandi/vogue | 463e6417a9168eadb0d11dea2d0f97919494bcd3 | [
"MIT"
] | 1 | 2021-12-16T19:29:17.000Z | 2021-12-16T19:29:17.000Z | vogue/api/api_v1/api.py | mayabrandi/vogue | 463e6417a9168eadb0d11dea2d0f97919494bcd3 | [
"MIT"
] | 188 | 2018-10-25T06:13:17.000Z | 2022-02-25T19:47:06.000Z | vogue/api/api_v1/api.py | mayabrandi/vogue | 463e6417a9168eadb0d11dea2d0f97919494bcd3 | [
"MIT"
] | null | null | null | from fastapi import FastAPI
from vogue.api.api_v1.endpoints import (
insert_documents,
home,
common_trends,
sequencing,
genootype,
reagent_labels,
prepps,
bioinfo_covid,
bioinfo_micro,
bioinfo_mip,
update,
)
from vogue.settings import static_files
app = FastAPI()
app.mount... | 27.432432 | 64 | 0.747783 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 133 | 0.131034 |
a2fa916053116744cb58a54f835b741f35144a4f | 1,090 | py | Python | models/dgcnn.py | veronicatozzo/SimpleView | 70dbde727b25db8fdd9dc486ac1f74ff31a89821 | [
"BSD-3-Clause"
] | 95 | 2021-06-09T09:44:14.000Z | 2022-03-13T12:10:50.000Z | models/dgcnn.py | veronicatozzo/SimpleView | 70dbde727b25db8fdd9dc486ac1f74ff31a89821 | [
"BSD-3-Clause"
] | 7 | 2021-06-23T04:44:25.000Z | 2022-01-14T15:45:27.000Z | models/dgcnn.py | veronicatozzo/SimpleView | 70dbde727b25db8fdd9dc486ac1f74ff31a89821 | [
"BSD-3-Clause"
] | 13 | 2021-07-01T23:55:15.000Z | 2022-01-04T12:29:02.000Z |
import torch.nn as nn
import torch.nn.functional as F
from dgcnn.pytorch.model import DGCNN as DGCNN_original
from all_utils import DATASET_NUM_CLASS
class DGCNN(nn.Module):
def __init__(self, task, dataset):
super().__init__()
self.task = task
self.dataset = dataset
if task == "... | 27.25 | 74 | 0.534862 | 937 | 0.859633 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0.033028 |
a2fcc2dcdf1e51df954863eb81bc306011453b3d | 283 | py | Python | atcoder/arc/a036.py | tomato-300yen/coding | db6f440a96d8c83f486005c650461a69f27e3926 | [
"MIT"
] | null | null | null | atcoder/arc/a036.py | tomato-300yen/coding | db6f440a96d8c83f486005c650461a69f27e3926 | [
"MIT"
] | null | null | null | atcoder/arc/a036.py | tomato-300yen/coding | db6f440a96d8c83f486005c650461a69f27e3926 | [
"MIT"
] | null | null | null | from collections import deque
N, K = map(int, input().split())
T = [int(input()) for _ in range(N)]
ans_dq = deque([0, 0, 0])
for i, t in enumerate(T):
ans_dq.append(t)
ans_dq.popleft()
if sum(ans_dq) < K and i > 1:
print(i + 1)
break
else:
print(-1)
| 21.769231 | 36 | 0.568905 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a2fcecf1decf4817a91d5d880a0ea9320b043380 | 238 | py | Python | Python/Curos_Python_curemvid/Exercicios_dos_videos/Ex029.py | Jhonattan-rocha/Meus-primeiros-programas | f5971b66c0afd049b5d0493e8b7a116b391d058e | [
"MIT"
] | null | null | null | Python/Curos_Python_curemvid/Exercicios_dos_videos/Ex029.py | Jhonattan-rocha/Meus-primeiros-programas | f5971b66c0afd049b5d0493e8b7a116b391d058e | [
"MIT"
] | null | null | null | Python/Curos_Python_curemvid/Exercicios_dos_videos/Ex029.py | Jhonattan-rocha/Meus-primeiros-programas | f5971b66c0afd049b5d0493e8b7a116b391d058e | [
"MIT"
] | null | null | null | velocidade = float(input("Digite a sua velocidade em Km/h: "))
if velocidade > 80:
amais = velocidade - 80
amais = amais*7
print("Você foi multado, devera pagar uma multa de: R${:.2f}".format(amais))
print("FIM, não se mate")
| 34 | 80 | 0.663866 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 0.458333 |
a2fdf1816d77bc5926536585a5ffc8b6a4ac1f23 | 3,746 | py | Python | research/radar-communication/dqn_agent.py | hieunq95/keras-rl | d965ea951220b5ede5ea1e11fab7d7eb45a8c2c5 | [
"MIT"
] | null | null | null | research/radar-communication/dqn_agent.py | hieunq95/keras-rl | d965ea951220b5ede5ea1e11fab7d7eb45a8c2c5 | [
"MIT"
] | null | null | null | research/radar-communication/dqn_agent.py | hieunq95/keras-rl | d965ea951220b5ede5ea1e11fab7d7eb45a8c2c5 | [
"MIT"
] | null | null | null | import numpy as np
import gym
import argparse
from keras.models import Sequential
from keras.layers import Dense, Activation, Flatten, Convolution2D
from keras.optimizers import Adam
from rl.agents.dqn import DQNAgent
from rl.policy import LinearAnnealedPolicy, EpsGreedyQPolicy
from rl.memory import SequentialMemory
... | 45.682927 | 115 | 0.67165 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 962 | 0.256807 |
a2fe2076a061b4411e718858d451c717a3acc756 | 318 | py | Python | Chapter01/displacy-save-as-image-1-4-5.py | indrasmartmob/Mastering-spaCy | 756876902eee8437d6d9ddcef2ba7ffabfc970a3 | [
"MIT"
] | 76 | 2021-07-07T14:32:42.000Z | 2022-03-27T17:15:15.000Z | Chapter01/displacy-save-as-image-1-4-5.py | indrasmartmob/Mastering-spaCy | 756876902eee8437d6d9ddcef2ba7ffabfc970a3 | [
"MIT"
] | 4 | 2021-08-18T18:08:23.000Z | 2022-03-27T03:30:27.000Z | Chapter01/displacy-save-as-image-1-4-5.py | indrasmartmob/Mastering-spaCy | 756876902eee8437d6d9ddcef2ba7ffabfc970a3 | [
"MIT"
] | 38 | 2021-07-09T22:23:38.000Z | 2022-03-12T07:11:37.000Z | #!/usr/bin/env python3
import spacy
from spacy import displacy
from pathlib import Path
nlp = spacy.load("en_core_web_md")
doc = nlp("I'm a butterfly.")
svg = displacy.render(doc, style="dep", jupyter=False)
filename = "butterfly.svg"
output_path = Path(filename)
output_path.open("w", encoding="utf-8").write(svg)
| 22.714286 | 54 | 0.735849 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 86 | 0.27044 |
a2fe69feb718bafa1d3ea491a261e3b0356c764f | 3,485 | py | Python | mask_detector/opencv/camera_ver2.py | osamhack2021/AI_Mask_Detector | 1d71980bd7b7168a9d006f03325fb51783c7f877 | [
"MIT"
] | null | null | null | mask_detector/opencv/camera_ver2.py | osamhack2021/AI_Mask_Detector | 1d71980bd7b7168a9d006f03325fb51783c7f877 | [
"MIT"
] | null | null | null | mask_detector/opencv/camera_ver2.py | osamhack2021/AI_Mask_Detector | 1d71980bd7b7168a9d006f03325fb51783c7f877 | [
"MIT"
] | 1 | 2021-11-21T08:19:54.000Z | 2021-11-21T08:19:54.000Z | import cv2
import tensorflow as tf
from tensorflow import keras
import matplotlib.pyplot as plt
import numpy as np
model = "./AI_Mask_Detector/res10_300x300_ssd_iter_140000_fp16.caffemodel"
config = "./AI_Mask_Detector/deploy.prototxt"
# model = './AI_Mask_Detector/opencv_face_detector_uint8.pb'
# config = './AI_Mask_... | 29.786325 | 85 | 0.505595 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 839 | 0.24047 |
a2ff595beb35cc3bf63e8eee3f852f028caee135 | 55,499 | py | Python | pipelines/head-pose-pipeline/training/models.py | tonouchi510/kfp-project | 67b78ae53cc3de594b8254999a4f553a8d5cec27 | [
"MIT"
] | null | null | null | pipelines/head-pose-pipeline/training/models.py | tonouchi510/kfp-project | 67b78ae53cc3de594b8254999a4f553a8d5cec27 | [
"MIT"
] | null | null | null | pipelines/head-pose-pipeline/training/models.py | tonouchi510/kfp-project | 67b78ae53cc3de594b8254999a4f553a8d5cec27 | [
"MIT"
] | null | null | null | import sys
import logging
import numpy as np
import tensorflow as tf
from tensorflow.keras import backend as K
from capsulelayers import CapsuleLayer
from capsulelayers import MatMulLayer
from loupe_keras import NetVLAD
sys.setrecursionlimit(2**20)
np.random.seed(2**10)
# Custom layers
# Note - Usage of Lambda layer... | 40.658608 | 131 | 0.568479 | 54,923 | 0.989621 | 0 | 0 | 0 | 0 | 0 | 0 | 6,542 | 0.117876 |
0c0064090948d111bf7fd540d7adcc81adb3d655 | 2,537 | py | Python | remijquerytools/__init__.py | kdahlhaus/remi-jquery-tools | 3ecc78d6a39edc7a77b89dd8ed08649f759b503a | [
"Apache-2.0"
] | null | null | null | remijquerytools/__init__.py | kdahlhaus/remi-jquery-tools | 3ecc78d6a39edc7a77b89dd8ed08649f759b503a | [
"Apache-2.0"
] | null | null | null | remijquerytools/__init__.py | kdahlhaus/remi-jquery-tools | 3ecc78d6a39edc7a77b89dd8ed08649f759b503a | [
"Apache-2.0"
] | null | null | null | import remi.gui as gui
import os
import logging
log = logging.getLogger('remi.gui.remijquerytools.overlay')
def get_res_path():
""" return addtion to 'res' path for items needed by this lib """
res_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'res')
return res_path
class Overlay(gui.... | 32.948052 | 109 | 0.581395 | 2,234 | 0.880568 | 0 | 0 | 173 | 0.068191 | 0 | 0 | 867 | 0.341742 |
0c01e08aaee863025867488824fa6692ef88b661 | 468 | py | Python | Python_Advanced_Softuni/Comprehensions_Exericises/venv/number_classification.py | borisboychev/SoftUni | 22062312f08e29a1d85377a6d41ef74966d37e99 | [
"MIT"
] | 1 | 2020-12-14T23:25:19.000Z | 2020-12-14T23:25:19.000Z | Python_Advanced_Softuni/Comprehensions_Exericises/venv/number_classification.py | borisboychev/SoftUni | 22062312f08e29a1d85377a6d41ef74966d37e99 | [
"MIT"
] | null | null | null | Python_Advanced_Softuni/Comprehensions_Exericises/venv/number_classification.py | borisboychev/SoftUni | 22062312f08e29a1d85377a6d41ef74966d37e99 | [
"MIT"
] | null | null | null | elements = [int(x) for x in input().split(', ')]
even_numbers = [x for x in elements if x % 2 == 0]
odd_numbers = [x for x in elements if x % 2 != 0]
positive = [x for x in elements if x >= 0]
negative = [x for x in elements if x < 0]
print(f"Positive: {', '.join(str(x) for x in positive)}")
print(f"Negative: {', '.j... | 36 | 57 | 0.613248 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 202 | 0.431624 |
0c02d2fcd975ca2fafbae393016b1ddc2ddcf6b5 | 2,048 | py | Python | src/probnum/type.py | ralfrost/probnum | 6b0988009a9dd7ecda87ba28c9d5c0b8019981b6 | [
"MIT"
] | null | null | null | src/probnum/type.py | ralfrost/probnum | 6b0988009a9dd7ecda87ba28c9d5c0b8019981b6 | [
"MIT"
] | 2 | 2020-12-28T19:37:16.000Z | 2020-12-28T19:37:31.000Z | src/probnum/type.py | admdev8/probnum | 792b6299bac247cf8b1b5056756f0f078855d83a | [
"MIT"
] | null | null | null | import numbers
from typing import Iterable, Tuple, Union
import numpy as np
########################################################################################
# API Types
########################################################################################
ShapeType = Tuple[int, ...]
RandomStateType = Unio... | 40.156863 | 88 | 0.626953 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,304 | 0.636719 |
0c03aa3f4a41bc42ddd522aaf547cfa062e47c23 | 12,279 | py | Python | src/socialprofile/views.py | DLRSP/django-sp | 9079358a4fc054f1a5afb056ccfd6a8b8afb36fa | [
"MIT"
] | 1 | 2022-01-11T07:25:17.000Z | 2022-01-11T07:25:17.000Z | src/socialprofile/views.py | DLRSP/django-sp | 9079358a4fc054f1a5afb056ccfd6a8b8afb36fa | [
"MIT"
] | 16 | 2021-12-20T01:30:34.000Z | 2022-03-31T01:38:59.000Z | src/socialprofile/views.py | DLRSP/django-sp | 9079358a4fc054f1a5afb056ccfd6a8b8afb36fa | [
"MIT"
] | null | null | null | """Django Views for the socialprofile module"""
import json
import logging
import sweetify
from django.conf import settings
from django.contrib import messages
from django.contrib.auth import REDIRECT_FIELD_NAME, login
from django.contrib.auth import logout as auth_logout
from django.contrib.auth.decorators import log... | 33.186486 | 96 | 0.582784 | 9,092 | 0.740451 | 0 | 0 | 1,093 | 0.089014 | 0 | 0 | 3,493 | 0.284469 |
0c042004c2d10428499c1e729e50d34d388b3eb9 | 519 | py | Python | sources/101_test.py | Painatalman/python101 | 9727ca03da46f81813fc2d338b8ba22fc0d8b78b | [
"Apache-2.0"
] | null | null | null | sources/101_test.py | Painatalman/python101 | 9727ca03da46f81813fc2d338b8ba22fc0d8b78b | [
"Apache-2.0"
] | null | null | null | sources/101_test.py | Painatalman/python101 | 9727ca03da46f81813fc2d338b8ba22fc0d8b78b | [
"Apache-2.0"
] | null | null | null | from fruits import validate_fruit
fruits = ["banana", "lemon", "apple", "orange", "batman"]
print fruits
def list_fruits(fruits, byName=True):
if byName:
# WARNING: this won't make a copy of the list and return it. It will change the list FOREVER
fruits.sort()
for index, fruit in enumerate... | 22.565217 | 100 | 0.628131 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 171 | 0.32948 |
0c04e662d416158f9b46ddaf7846e7bfe2b9fca2 | 3,439 | py | Python | tests/test_cms_config.py | Aiky30/djangocms-content-expiry | da7d348bcdafbf1a9862e4cc69a8363b3305a31a | [
"BSD-3-Clause"
] | null | null | null | tests/test_cms_config.py | Aiky30/djangocms-content-expiry | da7d348bcdafbf1a9862e4cc69a8363b3305a31a | [
"BSD-3-Clause"
] | 4 | 2021-09-27T10:15:13.000Z | 2021-11-23T17:18:04.000Z | tests/test_cms_config.py | Aiky30/djangocms-content-expiry | da7d348bcdafbf1a9862e4cc69a8363b3305a31a | [
"BSD-3-Clause"
] | 4 | 2021-09-06T20:13:45.000Z | 2021-10-02T15:00:58.000Z | from unittest.mock import Mock
from django.apps import apps
from django.contrib import admin
from django.test import RequestFactory, TestCase
from djangocms_moderation.cms_config import ModerationExtension
from djangocms_moderation.models import ModerationRequestTreeNode
from djangocms_content_expiry.cms_config impo... | 40.458824 | 111 | 0.756325 | 2,969 | 0.863332 | 0 | 0 | 0 | 0 | 0 | 0 | 504 | 0.146554 |
0c0689f206c41c5e5d28c78e11446ccb008b17b1 | 4,466 | py | Python | tilequeue/format/OSciMap4/StaticVals/__init__.py | ducdk90/tilequeue | c664b5c89a9f0e6743405ab266aa9ca80b57806e | [
"MIT"
] | 29 | 2016-11-03T18:39:21.000Z | 2022-02-27T17:42:37.000Z | tilequeue/format/OSciMap4/StaticVals/__init__.py | ducdk90/tilequeue | c664b5c89a9f0e6743405ab266aa9ca80b57806e | [
"MIT"
] | 146 | 2016-07-07T16:41:07.000Z | 2021-12-11T00:27:20.000Z | tilequeue/format/OSciMap4/StaticVals/__init__.py | ducdk90/tilequeue | c664b5c89a9f0e6743405ab266aa9ca80b57806e | [
"MIT"
] | 28 | 2016-08-19T16:08:52.000Z | 2021-07-26T10:16:29.000Z | vals = {
"yes" : 0,
"residential" : 1,
"service" : 2,
"unclassified" : 3,
"stream" : 4,
"track" : 5,
"water" : 6,
"footway" : 7,
"tertiary" : 8,
"private" : 9,
"tree" : 10,
"path" : 11,
"forest" : 12,
"secondary" : 13,
"house" : 14,
"no" : 15,
"asphalt" : 16,
"wood" : 17,
"grass" : 18,
"paved" : 19,
"primary" : 20,
"un... | 17.111111 | 26 | 0.59382 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,481 | 0.555531 |
0c084907ab6f7a66d8c89aefdff3de051c8499ac | 1,406 | py | Python | encryption_client.py | salmanhiro/fernet-rabbitmq | 8130514e6d21b7df9c78a28130c603512f500a23 | [
"MIT"
] | null | null | null | encryption_client.py | salmanhiro/fernet-rabbitmq | 8130514e6d21b7df9c78a28130c603512f500a23 | [
"MIT"
] | null | null | null | encryption_client.py | salmanhiro/fernet-rabbitmq | 8130514e6d21b7df9c78a28130c603512f500a23 | [
"MIT"
] | null | null | null | import pika
import uuid
import time
import json
class FernetRpc(object):
def __init__(self):
self.connection = pika.BlockingConnection(
pika.ConnectionParameters(host='localhost'))
self.channel = self.connection.channel()
result = self.channel.queue_declare(queue='', exclusiv... | 26.528302 | 69 | 0.619488 | 1,109 | 0.788762 | 0 | 0 | 0 | 0 | 0 | 0 | 101 | 0.071835 |
0c0862941d8ae706603317f21fde751ca0bd01fb | 3,225 | py | Python | services/cert_server/project/tests/test_cert_server.py | EvaldoNeto/openvpn-http | 73d75a990d5d7ed7f89a526c0ce324db42c37f1f | [
"MIT"
] | 5 | 2019-11-19T02:54:05.000Z | 2020-03-03T19:48:41.000Z | services/cert_server/project/tests/test_cert_server.py | EvaldoNeto/openvpn-http | 73d75a990d5d7ed7f89a526c0ce324db42c37f1f | [
"MIT"
] | 23 | 2019-10-31T12:00:37.000Z | 2019-11-22T21:00:28.000Z | services/cert_server/project/tests/test_cert_server.py | EvaldoNeto/openvpn-http | 73d75a990d5d7ed7f89a526c0ce324db42c37f1f | [
"MIT"
] | null | null | null | # services/ovpn_server/project/tests/test_ovpn_server.py
import os
import json
import io
from flask import current_app
from project.tests.base import BaseTestCase
class TestOvpnServer(BaseTestCase):
def test_certificates(self):
with self.client:
pki_path = current_app.config['PKI_PATH']
... | 37.068966 | 78 | 0.556279 | 3,056 | 0.947597 | 0 | 0 | 0 | 0 | 0 | 0 | 834 | 0.258605 |
0c08971682b47651e14df294d06cff25310ada7b | 956 | py | Python | powerline/lib/watcher/stat.py | MrFishFinger/powerline | 361534bafecf836e100eaff257c93eb4805f48db | [
"MIT"
] | 11,435 | 2015-01-01T03:32:34.000Z | 2022-03-31T20:39:05.000Z | powerline/lib/watcher/stat.py | ritiek/powerline | 82c1373ba0b424c57e8c12cb5f6f1a7ee3829c27 | [
"MIT"
] | 879 | 2015-01-02T11:59:30.000Z | 2022-03-24T09:52:17.000Z | powerline/lib/watcher/stat.py | ritiek/powerline | 82c1373ba0b424c57e8c12cb5f6f1a7ee3829c27 | [
"MIT"
] | 1,044 | 2015-01-05T22:37:53.000Z | 2022-03-17T19:43:16.000Z | # vim:fileencoding=utf-8:noet
from __future__ import (unicode_literals, division, absolute_import, print_function)
import os
from threading import RLock
from powerline.lib.path import realpath
class StatFileWatcher(object):
def __init__(self):
self.watches = {}
self.lock = RLock()
def watch(self, path):
p... | 21.244444 | 84 | 0.706067 | 757 | 0.791841 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | 0.030335 |
0c08a69ecbe4701e579ed0c55e6c61397156d087 | 2,531 | py | Python | refData/mlpy/mlpy-3.5.0/mlpy/bordacount/borda.py | xrick/DTW-Tutorial | bbbce1c2beff91384cdcb7dbf503f93ad2fa285c | [
"MIT"
] | null | null | null | refData/mlpy/mlpy-3.5.0/mlpy/bordacount/borda.py | xrick/DTW-Tutorial | bbbce1c2beff91384cdcb7dbf503f93ad2fa285c | [
"MIT"
] | null | null | null | refData/mlpy/mlpy-3.5.0/mlpy/bordacount/borda.py | xrick/DTW-Tutorial | bbbce1c2beff91384cdcb7dbf503f93ad2fa285c | [
"MIT"
] | null | null | null | ## This code is written by Davide Albanese, <[email protected]>.
## (C) 2010 mlpy Developers.
## This program 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 op... | 32.448718 | 126 | 0.614382 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,036 | 0.804425 |
0c08ae96e8b31b452042a012ea2cbfe21f5f54d5 | 2,641 | py | Python | envs/base_mujoco_env.py | zaynahjaved/AWAC | e225eeb8c0cd3498ab55ce15a9de60cb4e957c50 | [
"MIT"
] | null | null | null | envs/base_mujoco_env.py | zaynahjaved/AWAC | e225eeb8c0cd3498ab55ce15a9de60cb4e957c50 | [
"MIT"
] | null | null | null | envs/base_mujoco_env.py | zaynahjaved/AWAC | e225eeb8c0cd3498ab55ce15a9de60cb4e957c50 | [
"MIT"
] | null | null | null | '''
All cartgripper env modules built on cartrgipper implementation in
https://github.com/SudeepDasari/visual_foresight
'''
from abc import ABC
from mujoco_py import load_model_from_path, MjSim
import numpy as np
from base_env import BaseEnv
class BaseMujocoEnv(BaseEnv, ABC):
def __init__(self, model_path, _hp):... | 29.344444 | 96 | 0.632336 | 2,395 | 0.906853 | 0 | 0 | 165 | 0.062476 | 0 | 0 | 779 | 0.294964 |
0c08ff139766a0d536bcc09bc242b07f333b8755 | 853 | py | Python | HackerRank/Two Sum/Two Sum.py | nikku1234/Code-Practise | 94eb6680ea36efd10856c377000219285f77e5a4 | [
"Apache-2.0"
] | 9 | 2020-07-02T06:06:17.000Z | 2022-02-26T11:08:09.000Z | HackerRank/Two Sum/Two Sum.py | nikku1234/Code-Practise | 94eb6680ea36efd10856c377000219285f77e5a4 | [
"Apache-2.0"
] | 1 | 2021-11-04T17:26:36.000Z | 2021-11-04T17:26:36.000Z | HackerRank/Two Sum/Two Sum.py | nikku1234/Code-Practise | 94eb6680ea36efd10856c377000219285f77e5a4 | [
"Apache-2.0"
] | 8 | 2021-01-31T10:31:12.000Z | 2022-03-13T09:15:55.000Z | class Solution:
def twoSum(self, nums: List[int], target: int) -> List[int]:
"""Naive Logic"""
''' for i in range(len(nums)):
left = nums[i+1:]
for j in range(len(left)):
if (nums[i]+left[j]) ==target :
return i,j+i+1
'''
'''Better... | 32.807692 | 64 | 0.444314 | 853 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 439 | 0.514654 |
0c097274adeceb2e1e44250ea00c4016e23c60ed | 191 | py | Python | Desafios/desafio009.py | LucasHenrique-dev/Exercicios-Python | b1f6ca56ea8e197a89a044245419dc6079bdb9c7 | [
"MIT"
] | 1 | 2020-04-09T23:18:03.000Z | 2020-04-09T23:18:03.000Z | Desafios/desafio009.py | LucasHenrique-dev/Exercicios-Python | b1f6ca56ea8e197a89a044245419dc6079bdb9c7 | [
"MIT"
] | null | null | null | Desafios/desafio009.py | LucasHenrique-dev/Exercicios-Python | b1f6ca56ea8e197a89a044245419dc6079bdb9c7 | [
"MIT"
] | null | null | null | n1 = int(input('Digite um número e veja qual a sua tabuada: '))
n = 0
print('{} X {:2} = {:2}'.format(n1, 0, n1*n))
while n < 10:
n += 1
print('{} X {:2} = {:2}'.format(n1, n, n1*n))
| 27.285714 | 63 | 0.502618 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 0.432292 |
0c09891ffb40760a1dcac5e46984a7d055ce0caf | 2,587 | py | Python | web/app/djrq/admin/admin.py | bmillham/djrq2 | c84283b75a7c15da1902ebfc32b7d75159c09e20 | [
"MIT"
] | 1 | 2016-11-23T20:50:00.000Z | 2016-11-23T20:50:00.000Z | web/app/djrq/admin/admin.py | bmillham/djrq2 | c84283b75a7c15da1902ebfc32b7d75159c09e20 | [
"MIT"
] | 15 | 2017-01-15T04:18:40.000Z | 2017-02-25T04:13:06.000Z | web/app/djrq/admin/admin.py | bmillham/djrq2 | c84283b75a7c15da1902ebfc32b7d75159c09e20 | [
"MIT"
] | null | null | null | # encoding: utf-8
from web.ext.acl import when
from ..templates.admin.admintemplate import page as _page
from ..templates.admin.requests import requeststemplate, requestrow
from ..templates.requests import requestrow as rr
from ..send_update import send_update
import cinje
@when(when.matches(True, 'session.authentica... | 43.847458 | 198 | 0.709702 | 2,241 | 0.866254 | 0 | 0 | 2,310 | 0.892926 | 0 | 0 | 312 | 0.120603 |
0c0a4769116e4e6ba1cffb9d2ccffc9442014420 | 895 | py | Python | Middle/Que33.py | HuangZengPei/LeetCode | d2b8a1dfe986d71d02d2568b55bad6e5b1c81492 | [
"MIT"
] | 2 | 2019-11-20T14:05:27.000Z | 2019-11-20T14:05:28.000Z | Middle/Que33.py | HuangZengPei/LeetCode | d2b8a1dfe986d71d02d2568b55bad6e5b1c81492 | [
"MIT"
] | null | null | null | Middle/Que33.py | HuangZengPei/LeetCode | d2b8a1dfe986d71d02d2568b55bad6e5b1c81492 | [
"MIT"
] | null | null | null | class Solution(object):
def search(self, nums, target):
"""
:type nums: List[int]
:type target: int
:rtype: int
"""
return binarySearch(nums,target,0,len(nums)-1)
def binarySearch(nums, target, low, high):
if (low > high):
return -1
... | 34.423077 | 69 | 0.521788 | 892 | 0.990011 | 0 | 0 | 0 | 0 | 0 | 0 | 102 | 0.113208 |
0c0beaeefd6502afde93d7709e2ca76e12632ed9 | 2,560 | py | Python | save.py | regismeyssonnier/NeuralNetwork | c998b9523ed02287e1c811d73b0757270dee773c | [
"MIT"
] | null | null | null | save.py | regismeyssonnier/NeuralNetwork | c998b9523ed02287e1c811d73b0757270dee773c | [
"MIT"
] | null | null | null | save.py | regismeyssonnier/NeuralNetwork | c998b9523ed02287e1c811d73b0757270dee773c | [
"MIT"
] | null | null | null |
def write_file(filess, T):
f = open(filess, "w")
for o in T:
f.write("[\n")
for l in o:
f.write(str(l)+"\n")
f.write("]\n")
f.close()
def save_hidden_weight(nb_hidden, hiddenw):
for i in range(nb_hidden):
write_file("save/base_nn_hid_" + str(i+1) + "w.nn", hiddenw[i])
def load_hiddenw(filess, hi... | 17.902098 | 71 | 0.636328 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 425 | 0.166016 |
0c0c0154d635c140279cd61ef15b6dfc6c89cd23 | 755 | py | Python | test_knot_hasher.py | mmokko/aoc2017 | 0732ac440775f9e6bd4a8447c665c9b0e6969f74 | [
"MIT"
] | null | null | null | test_knot_hasher.py | mmokko/aoc2017 | 0732ac440775f9e6bd4a8447c665c9b0e6969f74 | [
"MIT"
] | null | null | null | test_knot_hasher.py | mmokko/aoc2017 | 0732ac440775f9e6bd4a8447c665c9b0e6969f74 | [
"MIT"
] | null | null | null | from unittest import TestCase
from day10 import KnotHasher
class TestKnotHasher(TestCase):
def test_calc(self):
sut = KnotHasher(5, [3, 4, 1, 5])
self.assertEqual(12, sut.calc())
def test_hash1(self):
sut = KnotHasher(256, '')
self.assertEqual('a2582a3a0e66e6e86e3812dcb672a272... | 30.2 | 72 | 0.658278 | 693 | 0.917881 | 0 | 0 | 0 | 0 | 0 | 0 | 162 | 0.21457 |
0c0c55cfe0bc18dae70bf566cb7d439dd048fafe | 602 | py | Python | udp/src/server.py | matthewchute/net-prot | 82d2d92b3c88afb245161780fdd7909d7bf15eb1 | [
"MIT"
] | null | null | null | udp/src/server.py | matthewchute/net-prot | 82d2d92b3c88afb245161780fdd7909d7bf15eb1 | [
"MIT"
] | null | null | null | udp/src/server.py | matthewchute/net-prot | 82d2d92b3c88afb245161780fdd7909d7bf15eb1 | [
"MIT"
] | null | null | null | import constants, helpers, os
temp_msg = None
whole_msg = b''
file_path = None
helpers.sock.bind(constants.IP_PORT)
print "Server Ready"
# recieve
while temp_msg != constants.EOF:
datagram = helpers.sock.recvfrom(constants.BUFFER_SIZE)
temp_msg = datagram[0]
if file_path is None:
print("Receiv... | 22.296296 | 79 | 0.696013 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58 | 0.096346 |
0c0dcfc232bbe604e854e762de0825bd246ecc01 | 3,697 | py | Python | sdk/apimanagement/azure-mgmt-apimanagement/azure/mgmt/apimanagement/models/hostname_configuration.py | tzhanl/azure-sdk-for-python | 18cd03f4ab8fd76cc0498f03e80fbc99f217c96e | [
"MIT"
] | 1 | 2021-09-07T18:36:04.000Z | 2021-09-07T18:36:04.000Z | sdk/apimanagement/azure-mgmt-apimanagement/azure/mgmt/apimanagement/models/hostname_configuration.py | tzhanl/azure-sdk-for-python | 18cd03f4ab8fd76cc0498f03e80fbc99f217c96e | [
"MIT"
] | 2 | 2019-10-02T23:37:38.000Z | 2020-10-02T01:17:31.000Z | sdk/apimanagement/azure-mgmt-apimanagement/azure/mgmt/apimanagement/models/hostname_configuration.py | tzhanl/azure-sdk-for-python | 18cd03f4ab8fd76cc0498f03e80fbc99f217c96e | [
"MIT"
] | 1 | 2019-06-17T22:18:23.000Z | 2019-06-17T22:18:23.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 48.012987 | 94 | 0.678117 | 3,181 | 0.860427 | 0 | 0 | 0 | 0 | 0 | 0 | 2,846 | 0.769813 |
0c0decf0160c2c2495315ba2014b0b8cb06458ac | 4,717 | py | Python | src/interactive_conditional_samples.py | 50417/gpt-2 | 0e0b3c97efb0048abffb2947aaa8573a783706ed | [
"MIT"
] | null | null | null | src/interactive_conditional_samples.py | 50417/gpt-2 | 0e0b3c97efb0048abffb2947aaa8573a783706ed | [
"MIT"
] | null | null | null | src/interactive_conditional_samples.py | 50417/gpt-2 | 0e0b3c97efb0048abffb2947aaa8573a783706ed | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import fire
import json
import os
import numpy as np
import tensorflow as tf
import model, sample, encoder
def interact_model(
model_name='117M',
seed=None,
nsamples=1000,
batch_size=1,
length=None,
temperature=1,
top_k=0,
top_p=0.0
):
"""
Interactively ... | 38.349593 | 116 | 0.606954 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,928 | 0.408734 |
0c0e5be12d46a3b1b4e3d634643649fcf6a3f4da | 291 | py | Python | todofy/tests/conftest.py | bokiex/eti_todo | 1c636d0973c57d4253440b4528185dba0ecb9d05 | [
"BSD-3-Clause"
] | 1 | 2019-11-29T09:52:19.000Z | 2019-11-29T09:52:19.000Z | todofy/tests/conftest.py | bokiex/eti_todo | 1c636d0973c57d4253440b4528185dba0ecb9d05 | [
"BSD-3-Clause"
] | 28 | 2019-11-28T20:02:48.000Z | 2022-02-10T14:04:45.000Z | todofy/tests/conftest.py | bokiex/eti_todo | 1c636d0973c57d4253440b4528185dba0ecb9d05 | [
"BSD-3-Clause"
] | null | null | null | import pytest
@pytest.fixture(scope='module')
def driver():
from selenium import webdriver
options = webdriver.ChromeOptions()
options.headless = True
chrome = webdriver.Chrome(options=options)
chrome.set_window_size(1440, 900)
yield chrome
chrome.close()
| 16.166667 | 46 | 0.704467 | 0 | 0 | 242 | 0.831615 | 274 | 0.941581 | 0 | 0 | 8 | 0.027491 |
0c0e6124651142c0387644ad144cc2392388c0c5 | 33 | py | Python | Fase 4 - Temas avanzados/Tema 11 - Modulos/Leccion 01 - Modulos/Saludos/test.py | ruben69695/python-course | a3d3532279510fa0315a7636c373016c7abe4f0a | [
"MIT"
] | 1 | 2019-01-27T20:44:53.000Z | 2019-01-27T20:44:53.000Z | Fase 4 - Temas avanzados/Tema 11 - Modulos/Leccion 01 - Modulos/Saludos/test.py | ruben69695/python-course | a3d3532279510fa0315a7636c373016c7abe4f0a | [
"MIT"
] | null | null | null | Fase 4 - Temas avanzados/Tema 11 - Modulos/Leccion 01 - Modulos/Saludos/test.py | ruben69695/python-course | a3d3532279510fa0315a7636c373016c7abe4f0a | [
"MIT"
] | null | null | null | import saludos
saludos.saludar() | 11 | 17 | 0.818182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0c0ea1386a3f6993039b27ca1ae2f4e56ebc457c | 1,033 | py | Python | question_bank/split-array-into-fibonacci-sequence/split-array-into-fibonacci-sequence.py | yatengLG/leetcode-python | 5d48aecb578c86d69835368fad3d9cc21961c226 | [
"Apache-2.0"
] | 9 | 2020-08-12T10:01:00.000Z | 2022-01-05T04:37:48.000Z | question_bank/split-array-into-fibonacci-sequence/split-array-into-fibonacci-sequence.py | yatengLG/leetcode-python | 5d48aecb578c86d69835368fad3d9cc21961c226 | [
"Apache-2.0"
] | 1 | 2021-02-16T10:19:31.000Z | 2021-02-16T10:19:31.000Z | question_bank/split-array-into-fibonacci-sequence/split-array-into-fibonacci-sequence.py | yatengLG/leetcode-python | 5d48aecb578c86d69835368fad3d9cc21961c226 | [
"Apache-2.0"
] | 4 | 2020-08-12T10:13:31.000Z | 2021-11-05T01:26:58.000Z | # -*- coding: utf-8 -*-
# @Author : LG
"""
执行用时：148 ms, 在所有 Python3 提交中击败了35.57% 的用户
内存消耗：13.7 MB, 在所有 Python3 提交中击败了36.81% 的用户
解题思路：
回溯
具体实现见代码注释
"""
class Solution:
def splitIntoFibonacci(self, S: str) -> List[int]:
def backtrack(S, current):
if S == '' and len(current) > 2: # 字... | 30.382353 | 159 | 0.460794 | 1,039 | 0.798616 | 0 | 0 | 0 | 0 | 0 | 0 | 545 | 0.418909 |
0c111c07238e7921c9ce9cb0615b8ac96b16babf | 2,771 | py | Python | convert_bootswatch_vurple.py | douglaskastle/bootswatch | cb8f368c8d3671afddae487736d7cba6509b7f5b | [
"MIT"
] | null | null | null | convert_bootswatch_vurple.py | douglaskastle/bootswatch | cb8f368c8d3671afddae487736d7cba6509b7f5b | [
"MIT"
] | null | null | null | convert_bootswatch_vurple.py | douglaskastle/bootswatch | cb8f368c8d3671afddae487736d7cba6509b7f5b | [
"MIT"
] | null | null | null | import re
import os
values = {
'uc': 'Vurple',
'lc': 'vurple',
'cl': '#116BB7',
}
def main():
infile = "yeti/variables.less"
f = open(infile, 'r')
lines = f.readlines()
f.close()
outfile = values['lc'] + "/variables.less"
f = open(outfile, 'w')
for line in lines:
l... | 35.075949 | 139 | 0.587153 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,298 | 0.468423 |
0c117a09b3c94bdc715dd3e404e0bc7ed330ac20 | 721 | py | Python | python/interface_getPixel.py | BulliB/PixelTable | f08ff3a7908857583f3cbc1b689abf2e8739f7d8 | [
"BSD-2-Clause"
] | 2 | 2019-10-28T14:33:31.000Z | 2019-10-30T10:08:58.000Z | python/interface_getPixel.py | BulliB/PixelTable | f08ff3a7908857583f3cbc1b689abf2e8739f7d8 | [
"BSD-2-Clause"
] | 33 | 2019-10-28T14:17:26.000Z | 2020-02-22T11:04:02.000Z | python/interface_getPixel.py | BulliB/PixelTable | f08ff3a7908857583f3cbc1b689abf2e8739f7d8 | [
"BSD-2-Clause"
] | 2 | 2019-11-08T11:14:33.000Z | 2019-11-19T21:22:54.000Z | #!/usr/bin/python3
from validData import *
from command import *
from readback import *
import sys
import time
# Expected Input
# 1: Row -> 0 to 9
# 2: Column -> 0 to 19
if (
isInt(sys.argv[1]) and strLengthIs(sys.argv[1],1) and
isInt(sys.argv[2]) and (strLengthIs(sys.argv[2],1) or strLengthIs(sys.ar... | 21.848485 | 89 | 0.601942 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 135 | 0.18724 |
0c11d6edd1fa7404e67e7a29c7dcaef50cd598a8 | 1,834 | py | Python | FunTOTP/interface.py | Z33DD/FunTOTP | 912c1a4a307af6a495f12a82305ae7dbf49916a2 | [
"Unlicense"
] | 3 | 2020-01-19T17:10:37.000Z | 2022-02-19T18:39:20.000Z | FunTOTP/interface.py | Z33DD/FunTOTP | 912c1a4a307af6a495f12a82305ae7dbf49916a2 | [
"Unlicense"
] | null | null | null | FunTOTP/interface.py | Z33DD/FunTOTP | 912c1a4a307af6a495f12a82305ae7dbf49916a2 | [
"Unlicense"
] | 1 | 2020-01-19T20:25:18.000Z | 2020-01-19T20:25:18.000Z | from getpass import getpass
from colorama import init, Fore, Back, Style
yes = ['Y', 'y', 'YES', 'yes', 'Yes']
class interface(object):
"""
Terminal CLI
"""
def log(self, arg, get=False):
if not get:
print("[*]: {} ".format(arg))
else:
return "[*]: {} ".format(a... | 25.123288 | 76 | 0.490185 | 1,721 | 0.938386 | 0 | 0 | 0 | 0 | 0 | 0 | 535 | 0.291712 |
0c1456a33812aa7157896227520f3def0676ad91 | 885 | py | Python | envdsys/envcontacts/apps.py | NOAA-PMEL/envDataSystem | 4db4a3569d2329658799a3eef06ce36dd5c0597d | [
"Unlicense"
] | 1 | 2021-11-06T19:22:53.000Z | 2021-11-06T19:22:53.000Z | envdsys/envcontacts/apps.py | NOAA-PMEL/envDataSystem | 4db4a3569d2329658799a3eef06ce36dd5c0597d | [
"Unlicense"
] | 25 | 2019-06-18T20:40:36.000Z | 2021-07-23T20:56:48.000Z | envdsys/envcontacts/apps.py | NOAA-PMEL/envDataSystem | 4db4a3569d2329658799a3eef06ce36dd5c0597d | [
"Unlicense"
] | null | null | null | from django.apps import AppConfig
class EnvcontactsConfig(AppConfig):
name = 'envcontacts'
# def ready(self) -> None:
# from envnet.registry.registry import ServiceRegistry
# try:
# from setup.ui_server_conf import run_config
# host = run_config["HOST"]["name"]
# ... | 29.5 | 64 | 0.523164 | 849 | 0.959322 | 0 | 0 | 0 | 0 | 0 | 0 | 681 | 0.769492 |
0c16dc36c44b72bd40c213bf05ac31ec7273fca3 | 8,053 | py | Python | tests/interpreter.py | AndrejHatzi/Haya | 31291142decf6a172149516f08a2f2d68115e2dc | [
"MIT"
] | null | null | null | tests/interpreter.py | AndrejHatzi/Haya | 31291142decf6a172149516f08a2f2d68115e2dc | [
"MIT"
] | 1 | 2019-02-14T16:47:10.000Z | 2019-02-14T16:47:10.000Z | tests/interpreter.py | AndrejHatzi/Haya | 31291142decf6a172149516f08a2f2d68115e2dc | [
"MIT"
] | null | null | null | from sly import Lexer
from sly import Parser
import sys
#--------------------------
# While Loop
# Del Var
# Print stmt
# EQEQ, LEQ
#--------------------------
#=> This version has parenthesis precedence!
class BasicLexer(Lexer):
tokens = { NAME, NUMBER, STRING, IF, FOR, PRINT, CREATEFILE, WRITE, EQEQ,... | 27.768966 | 83 | 0.46343 | 6,790 | 0.843164 | 0 | 0 | 2,244 | 0.278654 | 0 | 0 | 1,546 | 0.191978 |
0c16fa03a21f3d8b261783bab62dd87a48e2c16d | 1,012 | py | Python | braintree/apple_pay_card.py | futureironman/braintree_python | 26bb8a857bc29322a8bca2e8e0fe6d99cfe6a1ac | [
"MIT"
] | 182 | 2015-01-09T05:26:46.000Z | 2022-03-16T14:10:06.000Z | braintree/apple_pay_card.py | futureironman/braintree_python | 26bb8a857bc29322a8bca2e8e0fe6d99cfe6a1ac | [
"MIT"
] | 95 | 2015-02-24T23:29:56.000Z | 2022-03-13T03:27:58.000Z | braintree/apple_pay_card.py | futureironman/braintree_python | 26bb8a857bc29322a8bca2e8e0fe6d99cfe6a1ac | [
"MIT"
] | 93 | 2015-02-19T17:59:06.000Z | 2022-03-19T17:01:25.000Z | import braintree
from braintree.resource import Resource
class ApplePayCard(Resource):
"""
A class representing Braintree Apple Pay card objects.
"""
class CardType(object):
"""
Contants representing the type of the credit card. Available types are:
* Braintree.ApplePayCard.Am... | 30.666667 | 132 | 0.662055 | 952 | 0.940711 | 0 | 0 | 106 | 0.104743 | 0 | 0 | 386 | 0.381423 |
0c1758002a3f4c2e5686dc0e50493960b4c98bea | 4,054 | py | Python | src/lda_without_tf_idf_sports.py | mspkvp/MiningOpinionTweets | 23f05b4cea22254748675e03a51844da1dff70ac | [
"MIT"
] | 1 | 2016-01-18T14:30:31.000Z | 2016-01-18T14:30:31.000Z | src/lda_without_tf_idf_sports.py | mspkvp/MiningOpinionTweets | 23f05b4cea22254748675e03a51844da1dff70ac | [
"MIT"
] | null | null | null | src/lda_without_tf_idf_sports.py | mspkvp/MiningOpinionTweets | 23f05b4cea22254748675e03a51844da1dff70ac | [
"MIT"
] | null | null | null | from __future__ import print_function
from time import time
import csv
import sys
import os
from sklearn.feature_extraction.text import CountVectorizer
import numpy as np
import lda
import logging
logging.basicConfig(filename='lda_analyser.log', level=logging.DEBUG)
entities = ['jose_mourinho',
'cristia... | 37.192661 | 129 | 0.561914 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 973 | 0.24001 |
0c18dab0a973e417315a5c146525d7d91b9da0fe | 4,476 | py | Python | glab_common/allsummary.py | gentnerlab/glab-common-py | 9ff87ac6ca5f07c0d550594da38080bd3ee916db | [
"BSD-3-Clause"
] | 3 | 2016-03-07T19:51:32.000Z | 2018-11-08T22:34:14.000Z | glab_common/allsummary.py | gentnerlab/glab-common-py | 9ff87ac6ca5f07c0d550594da38080bd3ee916db | [
"BSD-3-Clause"
] | 16 | 2015-02-19T04:32:01.000Z | 2018-11-14T20:09:09.000Z | glab_common/allsummary.py | gentnerlab/glab-common-py | 9ff87ac6ca5f07c0d550594da38080bd3ee916db | [
"BSD-3-Clause"
] | 4 | 2015-04-01T23:55:25.000Z | 2018-02-28T18:23:29.000Z | from __future__ import print_function
import re
import datetime as dt
from behav.loading import load_data_pandas
import warnings
import subprocess
import os
import sys
process_fname = "/home/bird/opdat/panel_subject_behavior"
box_nums = []
bird_nums = []
processes = []
with open(process_fname, "rt") as psb_file:
... | 38.921739 | 122 | 0.50849 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 974 | 0.217605 |
0c194bbda6bf427b571869e7619f91e9298b8f04 | 2,239 | py | Python | api/v1/circuits.py | tahoe/janitor | b6ce73bddc13c70079bdc7ba4c7a9b3ee0cad0bd | [
"Apache-2.0"
] | 52 | 2019-08-14T10:48:26.000Z | 2022-03-30T18:09:08.000Z | api/v1/circuits.py | tahoe/janitor | b6ce73bddc13c70079bdc7ba4c7a9b3ee0cad0bd | [
"Apache-2.0"
] | 18 | 2019-08-20T04:13:37.000Z | 2022-01-31T12:40:12.000Z | api/v1/circuits.py | tahoe/janitor | b6ce73bddc13c70079bdc7ba4c7a9b3ee0cad0bd | [
"Apache-2.0"
] | 12 | 2019-08-14T10:49:11.000Z | 2020-09-02T18:56:34.000Z | from app.models import Circuit, CircuitSchema, Provider
from flask import make_response, jsonify
from app import db
def read_all():
"""
This function responds to a request for /circuits
with the complete lists of circuits
:return: sorted list of circuits
"""
circuits = Circuit.query.al... | 26.341176 | 85 | 0.676195 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 575 | 0.256811 |
0c1a66a69d47f4abcbb592a1b69142a384d2f89b | 2,311 | py | Python | youtube_related/client.py | kijk2869/youtube-related | daabefc60277653098e1d8e266258b71567796d8 | [
"MIT"
] | 7 | 2020-07-13T00:15:37.000Z | 2021-12-06T14:35:14.000Z | youtube_related/client.py | kijk2869/youtube-related | daabefc60277653098e1d8e266258b71567796d8 | [
"MIT"
] | 11 | 2020-07-17T16:11:16.000Z | 2022-03-01T23:02:54.000Z | youtube_related/client.py | kijk2869/youtube-related | daabefc60277653098e1d8e266258b71567796d8 | [
"MIT"
] | 3 | 2020-11-04T11:44:50.000Z | 2022-01-11T04:21:01.000Z | import asyncio
import json
import re
from collections import deque
from typing import Deque, Dict, List, Match, Pattern
import aiohttp
from .error import RateLimited
headers: dict = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; rv:11.0) like Gecko"
}
DATA_JSON: Pattern = re.compile(
r'(... | 29.253165 | 89 | 0.63479 | 581 | 0.251406 | 0 | 0 | 0 | 0 | 1,577 | 0.682389 | 404 | 0.174816 |
0c1b29cfd60d9ee7d4e6451a8264af9459d2ddcb | 2,522 | py | Python | app/request/migrations/0001_initial.py | contestcrew/2019SeoulContest-Backend | 2e99cc6ec6a712911da3b79412ae84a9d35453e1 | [
"MIT"
] | null | null | null | app/request/migrations/0001_initial.py | contestcrew/2019SeoulContest-Backend | 2e99cc6ec6a712911da3b79412ae84a9d35453e1 | [
"MIT"
] | 32 | 2019-08-30T13:09:28.000Z | 2021-06-10T19:07:56.000Z | app/request/migrations/0001_initial.py | contestcrew/2019SeoulContest-Backend | 2e99cc6ec6a712911da3b79412ae84a9d35453e1 | [
"MIT"
] | 3 | 2019-09-19T10:12:50.000Z | 2019-09-30T15:59:13.000Z | # Generated by Django 2.2.5 on 2019-09-24 09:11
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Category',
fields=[
... | 50.44 | 179 | 0.596352 | 2,500 | 0.952018 | 0 | 0 | 0 | 0 | 0 | 0 | 543 | 0.206778 |
0c1bfa28ddb2f6e0a2bc571eb9a019b7ef92cb0d | 690 | py | Python | field/FieldFactory.py | goph-R/NodeEditor | 5cc4749785bbd348f3db01b27c1533b4caadb920 | [
"Apache-2.0"
] | null | null | null | field/FieldFactory.py | goph-R/NodeEditor | 5cc4749785bbd348f3db01b27c1533b4caadb920 | [
"Apache-2.0"
] | null | null | null | field/FieldFactory.py | goph-R/NodeEditor | 5cc4749785bbd348f3db01b27c1533b4caadb920 | [
"Apache-2.0"
] | null | null | null | from PySide2.QtGui import QVector3D, QColor
from field.ColorField import ColorField
from field.FloatField import FloatField
from field.StringField import StringField
from field.Vector3Field import Vector3Field
class FieldFactory(object):
def create(self, property):
result = None
type... | 23 | 44 | 0.618841 | 465 | 0.673913 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0c1cee1a04ba87b43d0454e7e5294887e53530fd | 1,348 | py | Python | scrapy/utils/engine.py | sulochanaviji/scrapy | 6071c82e7ac80136e844b56a09d5d31aa8f41296 | [
"BSD-3-Clause"
] | 8 | 2021-02-01T07:55:19.000Z | 2021-03-22T18:17:47.000Z | scrapy/utils/engine.py | sulochanaviji/scrapy | 6071c82e7ac80136e844b56a09d5d31aa8f41296 | [
"BSD-3-Clause"
] | 30 | 2021-02-17T14:17:57.000Z | 2021-03-03T16:57:16.000Z | scrapy/utils/engine.py | sulochanaviji/scrapy | 6071c82e7ac80136e844b56a09d5d31aa8f41296 | [
"BSD-3-Clause"
] | 3 | 2021-08-21T04:09:17.000Z | 2021-08-25T01:00:41.000Z | """Some debugging functions for working with the Scrapy engine"""
# used in global tests code
from time import time # noqa: F401
def get_engine_status(engine):
"""Return a report of the current engine status"""
tests = [
"time()-engine.start_time",
"engine.has_capacity()",
"len(engin... | 27.510204 | 65 | 0.609792 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 700 | 0.519288 |
0c1da110a449d15b92ca6653ffd9fc76029d3fee | 2,588 | py | Python | share/pegasus/init/population/scripts/full_res_pop_raster.py | hariharan-devarajan/pegasus | d0641541f2eccc69dd6cc5a09b0b51303686d3ac | [
"Apache-2.0"
] | null | null | null | share/pegasus/init/population/scripts/full_res_pop_raster.py | hariharan-devarajan/pegasus | d0641541f2eccc69dd6cc5a09b0b51303686d3ac | [
"Apache-2.0"
] | null | null | null | share/pegasus/init/population/scripts/full_res_pop_raster.py | hariharan-devarajan/pegasus | d0641541f2eccc69dd6cc5a09b0b51303686d3ac | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
from typing import Dict
import optparse
import numpy as np
import rasterio
from rasterio import features
def main(county_pop_file, spatial_dist_file, fname_out, no_data_val=-9999):
'''
county_pop_file: County level population estimates
spatial_dist_file: Spatial projection of populati... | 33.179487 | 75 | 0.63524 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 952 | 0.367852 |
0c1e7c3ccf6eceb66230761a4bde8362593a8064 | 9,557 | py | Python | TestCase/pr_test_case.py | openeuler-mirror/ci-bot | c50056ff73670bc0382e72cf8c653c01e1aed5e1 | [
"MulanPSL-1.0"
] | 1 | 2020-01-12T07:35:34.000Z | 2020-01-12T07:35:34.000Z | TestCase/pr_test_case.py | openeuler-mirror/ci-bot | c50056ff73670bc0382e72cf8c653c01e1aed5e1 | [
"MulanPSL-1.0"
] | null | null | null | TestCase/pr_test_case.py | openeuler-mirror/ci-bot | c50056ff73670bc0382e72cf8c653c01e1aed5e1 | [
"MulanPSL-1.0"
] | 2 | 2020-03-04T02:09:14.000Z | 2020-03-07T03:00:40.000Z | import os
import requests
import subprocess
import time
import yaml
class PullRequestOperation(object):
def __init__(self, owner, repo, local_owner):
"""initialize owner, repo and access_token"""
self.owner = owner
self.repo = repo
self.local_owner = local_owner
self.access... | 38.381526 | 206 | 0.548917 | 4,636 | 0.485089 | 0 | 0 | 0 | 0 | 0 | 0 | 3,092 | 0.323532 |
0c1eb2fd9329de0c031fe686c52f4c0e67ec1227 | 1,103 | py | Python | tempest/api/hybrid_cloud/compute/flavors/test_flavors_operations.py | Hybrid-Cloud/hybrid-tempest | 319e90c6fa6e46925b495c93cd5258f088a30ec0 | [
"Apache-2.0"
] | null | null | null | tempest/api/hybrid_cloud/compute/flavors/test_flavors_operations.py | Hybrid-Cloud/hybrid-tempest | 319e90c6fa6e46925b495c93cd5258f088a30ec0 | [
"Apache-2.0"
] | null | null | null | tempest/api/hybrid_cloud/compute/flavors/test_flavors_operations.py | Hybrid-Cloud/hybrid-tempest | 319e90c6fa6e46925b495c93cd5258f088a30ec0 | [
"Apache-2.0"
] | null | null | null | import testtools
from oslo_log import log
from tempest.api.compute import base
import tempest.api.compute.flavors.test_flavors as FlavorsV2Test
import tempest.api.compute.flavors.test_flavors_negative as FlavorsListWithDetailsNegativeTest
import tempest.api.compute.flavors.test_flavors_negative as FlavorDetailsNegativ... | 36.766667 | 126 | 0.853128 | 387 | 0.350861 | 0 | 0 | 457 | 0.414325 | 0 | 0 | 146 | 0.132366 |
0c1f09091be19e77ace869bcb2f31a8df0eb57b2 | 8,910 | py | Python | dycall/exports.py | demberto/DyCall | b234e7ba535eae71234723bb3d645eb986f96a30 | [
"MIT"
] | null | null | null | dycall/exports.py | demberto/DyCall | b234e7ba535eae71234723bb3d645eb986f96a30 | [
"MIT"
] | null | null | null | dycall/exports.py | demberto/DyCall | b234e7ba535eae71234723bb3d645eb986f96a30 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
dycall.exports
~~~~~~~~~~~~~~
Contains `ExportsFrame` and `ExportsTreeView`.
"""
from __future__ import annotations
import logging
import pathlib
from typing import TYPE_CHECKING
import ttkbootstrap as tk
from ttkbootstrap import ttk
from ttkbootstrap.dialogs import Messagebox
from ttkbo... | 34.534884 | 86 | 0.579237 | 8,313 | 0.932997 | 0 | 0 | 0 | 0 | 0 | 0 | 2,580 | 0.289562 |
0c1fb0aec727010060874060c9a7121a40357346 | 1,899 | py | Python | src/homologs/filter_by_occupancy.py | jlanga/smsk_selection | 08070c6d4a6fbd9320265e1e698c95ba80f81123 | [
"MIT"
] | 4 | 2021-07-18T05:20:20.000Z | 2022-01-03T10:22:33.000Z | src/homologs/filter_by_occupancy.py | jlanga/smsk_selection | 08070c6d4a6fbd9320265e1e698c95ba80f81123 | [
"MIT"
] | 1 | 2017-08-21T07:26:13.000Z | 2018-11-08T13:59:48.000Z | src/homologs/filter_by_occupancy.py | jlanga/smsk_orthofinder | 08070c6d4a6fbd9320265e1e698c95ba80f81123 | [
"MIT"
] | 2 | 2021-07-18T05:20:26.000Z | 2022-03-31T18:23:31.000Z | #!/usr/bin/env python
"""
Filter a fasta alignment according to its occupancy:
filter_by_occupancy.py fasta_raw.fa fasta_trimmed.fa 0.5
"""
import os
import sys
from helpers import fasta_to_dict
def filter_by_occupancy(filename_in, filename_out, min_occupancy=0.5):
"""
Filter an alignment in fasta format ... | 28.772727 | 85 | 0.664034 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 424 | 0.223275 |
0c20b529cd83a9fd598afa8e482ff4d521f8b78a | 954 | py | Python | setup.py | eppeters/xontrib-dotenv | f866f557592d822d1ecb2b607c63c4cdecb580e4 | [
"BSD-2-Clause"
] | null | null | null | setup.py | eppeters/xontrib-dotenv | f866f557592d822d1ecb2b607c63c4cdecb580e4 | [
"BSD-2-Clause"
] | null | null | null | setup.py | eppeters/xontrib-dotenv | f866f557592d822d1ecb2b607c63c4cdecb580e4 | [
"BSD-2-Clause"
] | 1 | 2020-03-16T00:39:57.000Z | 2020-03-16T00:39:57.000Z | #!/usr/bin/env python
"""
xontrib-dotenv
-----
Automatically reads .env file from current working directory
or parentdirectories and push variables to environment.
"""
from setuptools import setup
setup(
name='xontrib-dotenv',
version='0.1',
description='Reads .env files into environment',
long_descr... | 25.105263 | 60 | 0.631027 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 546 | 0.572327 |
0c20b7c255ec391f7dad36b9c36ded1071de5e8b | 222 | py | Python | tests/sample_app/urls.py | dreipol/meta-tagger | c1a2f1f8b0c051018a5bb75d4e579d27bd2c27b2 | [
"BSD-3-Clause"
] | 3 | 2016-05-30T07:48:54.000Z | 2017-02-08T21:16:03.000Z | tests/sample_app/urls.py | dreipol/meta-tagger | c1a2f1f8b0c051018a5bb75d4e579d27bd2c27b2 | [
"BSD-3-Clause"
] | null | null | null | tests/sample_app/urls.py | dreipol/meta-tagger | c1a2f1f8b0c051018a5bb75d4e579d27bd2c27b2 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from django.conf.urls import url
from tests.sample_app.views import NewsArticleDetailView
urlpatterns = [
url(r'^(?P<pk>\d+)/$', NewsArticleDetailView.as_view(), name='news-article-detail'),
]
| 27.75 | 88 | 0.702703 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 61 | 0.274775 |
0c2115fcd6d26f9ce3cdf5ced126fdd61f06356a | 105 | py | Python | RCNN/config_RCNN.py | andrew-miao/ECE657A_Project-text-classification | 5ad77ea6d6c685eecfe3dc189d9ea41f5b3ac1d1 | [
"MIT"
] | 4 | 2020-08-11T18:31:55.000Z | 2020-08-25T15:30:53.000Z | RCNN/config_RCNN.py | andrew-miao/ECE657A_Project-text-classification | 5ad77ea6d6c685eecfe3dc189d9ea41f5b3ac1d1 | [
"MIT"
] | null | null | null | RCNN/config_RCNN.py | andrew-miao/ECE657A_Project-text-classification | 5ad77ea6d6c685eecfe3dc189d9ea41f5b3ac1d1 | [
"MIT"
] | null | null | null | class Config(object):
embedding_size = 300
n_layers = 1
hidden_size = 128
drop_prob = 0.2 | 21 | 24 | 0.647619 | 105 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0c23261891d98100b6ddda0879a36f77857b6f48 | 624 | py | Python | utils/bbox_utils/center_to_corner.py | Jaskaran197/Red-blood-cell-detection-SSD | a33b330ad17454a7425aa7f57818c0a41b4e0ff9 | [
"MIT"
] | null | null | null | utils/bbox_utils/center_to_corner.py | Jaskaran197/Red-blood-cell-detection-SSD | a33b330ad17454a7425aa7f57818c0a41b4e0ff9 | [
"MIT"
] | null | null | null | utils/bbox_utils/center_to_corner.py | Jaskaran197/Red-blood-cell-detection-SSD | a33b330ad17454a7425aa7f57818c0a41b4e0ff9 | [
"MIT"
] | null | null | null | import numpy as np
def center_to_corner(boxes):
""" Convert bounding boxes from center format (cx, cy, width, height) to corner format (xmin, ymin, xmax, ymax)
Args:
- boxes: numpy array of tensor containing all the boxes to be converted
Returns:
- A numpy array or tensor of converted bo... | 32.842105 | 115 | 0.535256 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 301 | 0.482372 |
0c24e2918c9577a7b38b38b7b54cfb7d7c91ca26 | 337 | py | Python | pytest/np.py | i0Ek3/disintegration | b59307f8166b93d76fab35af180a5cf3ffa51b09 | [
"MIT"
] | null | null | null | pytest/np.py | i0Ek3/disintegration | b59307f8166b93d76fab35af180a5cf3ffa51b09 | [
"MIT"
] | null | null | null | pytest/np.py | i0Ek3/disintegration | b59307f8166b93d76fab35af180a5cf3ffa51b09 | [
"MIT"
] | null | null | null | import numpy as np
list = [np.linspace([1,2,3], 3),\
np.array([1,2,3]),\
np.arange(3),\
np.arange(8).reshape(2,4),\
np.zeros((2,3)),\
np.zeros((2,3)).T,\
np.ones((3,1)),\
np.eye(3),\
np.full((3,3), 1),\
np.random.rand(3),\
np.random.rand(3,3),\
np.random.uniform(5,15,3),\
np.random.randn(3),\
np.random.normal(3, 2.5, ... | 17.736842 | 33 | 0.590504 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0c25a90b221d6137090c0e77b536a592e4921a3d | 337 | py | Python | api/data_explorer/models/__init__.py | karamalhotra/data-explorer | 317f4d7330887969ab6bfe2ca23ec24163472c55 | [
"BSD-3-Clause"
] | null | null | null | api/data_explorer/models/__init__.py | karamalhotra/data-explorer | 317f4d7330887969ab6bfe2ca23ec24163472c55 | [
"BSD-3-Clause"
] | null | null | null | api/data_explorer/models/__init__.py | karamalhotra/data-explorer | 317f4d7330887969ab6bfe2ca23ec24163472c55 | [
"BSD-3-Clause"
] | null | null | null | # coding: utf-8
# flake8: noqa
from __future__ import absolute_import
# import models into model package
from data_explorer.models.dataset_response import DatasetResponse
from data_explorer.models.facet import Facet
from data_explorer.models.facet_value import FacetValue
from data_explorer.models.facets_response impor... | 33.7 | 65 | 0.860534 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 63 | 0.186944 |
0c2791187a63a4bcc6905cd731c3e9fbdcde2c2b | 2,288 | py | Python | seabird/cli.py | nicholas512/seabird | 23073b2b9a550b86ec155cbe43be9b50e50b8310 | [
"BSD-3-Clause"
] | 38 | 2015-04-15T08:57:44.000Z | 2022-03-13T02:51:53.000Z | seabird/cli.py | nicholas512/seabird | 23073b2b9a550b86ec155cbe43be9b50e50b8310 | [
"BSD-3-Clause"
] | 54 | 2015-01-28T03:53:43.000Z | 2021-12-11T07:37:24.000Z | seabird/cli.py | nicholas512/seabird | 23073b2b9a550b86ec155cbe43be9b50e50b8310 | [
"BSD-3-Clause"
] | 22 | 2015-09-22T12:24:22.000Z | 2022-01-31T22:27:16.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
""" Command line utilities for package Seabird
"""
import click
from seabird.exceptions import CNVError
from .cnv import fCNV
from .netcdf import cnv2nc
@click.group()
def cli():
""" Utilities for seabird files
"""
pass
@cli.command(name='cnvdump')
@click.a... | 28.962025 | 68 | 0.645979 | 0 | 0 | 0 | 0 | 2,077 | 0.90778 | 0 | 0 | 807 | 0.35271 |
0c2931d41844c5cadfbc0f4d8cd12cf1c0991cb4 | 1,752 | py | Python | main.py | Mitch-the-Fridge/pi | 70ab24dab9b06722084e93f783dc541747d46720 | [
"MIT"
] | null | null | null | main.py | Mitch-the-Fridge/pi | 70ab24dab9b06722084e93f783dc541747d46720 | [
"MIT"
] | null | null | null | main.py | Mitch-the-Fridge/pi | 70ab24dab9b06722084e93f783dc541747d46720 | [
"MIT"
] | 1 | 2020-05-31T17:13:42.000Z | 2020-05-31T17:13:42.000Z | #!/usr/bin/env python3
#import face_recognition
import cv2
import numpy as np
from datetime import datetime, timedelta
from buffer import Buffer
from collections import deque
import os
from copy import copy
import archive
WEIGHT_EPS = 5
TIMEOUT = 5 # in seconds
def poll_weight():
return 500
# with an fps we the... | 23.36 | 87 | 0.660388 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 339 | 0.193493 |
0c2a0afb31018189385f06e7bd9d48b8c0f6df9c | 2,895 | py | Python | OpenPNM/Network/models/pore_topology.py | Eng-RSMY/OpenPNM | a0a057d0f6346c515792459b1da97f05bab383c1 | [
"MIT"
] | 1 | 2021-03-30T21:38:26.000Z | 2021-03-30T21:38:26.000Z | OpenPNM/Network/models/pore_topology.py | Eng-RSMY/OpenPNM | a0a057d0f6346c515792459b1da97f05bab383c1 | [
"MIT"
] | null | null | null | OpenPNM/Network/models/pore_topology.py | Eng-RSMY/OpenPNM | a0a057d0f6346c515792459b1da97f05bab383c1 | [
"MIT"
] | null | null | null | r"""
===============================================================================
pore_topology -- functions for monitoring and adjusting topology
===============================================================================
"""
import scipy as _sp
def get_subscripts(network, shape, **kwargs):
r"""
Retu... | 29.242424 | 79 | 0.587219 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,716 | 0.592746 |
0c2a4b436c5eaf17c454eecf85f7cdb41e8c152f | 9,559 | py | Python | contrib/workflow/SpiffWorkflow/src/SpiffWorkflow/Tasks/Join.py | gonicus/clacks | da579f0acc4e48cf2e9451417ac6792282cf7ab6 | [
"ZPL-2.1"
] | 2 | 2015-01-26T07:15:19.000Z | 2015-11-09T13:42:11.000Z | contrib/workflow/SpiffWorkflow/src/SpiffWorkflow/Tasks/Join.py | gonicus/clacks | da579f0acc4e48cf2e9451417ac6792282cf7ab6 | [
"ZPL-2.1"
] | null | null | null | contrib/workflow/SpiffWorkflow/src/SpiffWorkflow/Tasks/Join.py | gonicus/clacks | da579f0acc4e48cf2e9451417ac6792282cf7ab6 | [
"ZPL-2.1"
] | null | null | null | # Copyright (C) 2007 Samuel Abels
#
# 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 License, or (at your option) any later version.
#
# This library is distri... | 37.93254 | 80 | 0.61293 | 8,607 | 0.900408 | 0 | 0 | 0 | 0 | 0 | 0 | 4,012 | 0.419709 |
0c2c64f073f540439acf039ecdc1016885d5eb85 | 5,763 | py | Python | covsirphy/visualization/bar_plot.py | ardhanii/covid19-sir | 87881963c49a2fc5b6235c8b21269d216acaa941 | [
"Apache-2.0"
] | 97 | 2020-05-15T15:20:15.000Z | 2022-03-18T02:55:54.000Z | covsirphy/visualization/bar_plot.py | ardhanii/covid19-sir | 87881963c49a2fc5b6235c8b21269d216acaa941 | [
"Apache-2.0"
] | 970 | 2020-06-01T13:48:34.000Z | 2022-03-29T08:20:49.000Z | covsirphy/visualization/bar_plot.py | ardhani31/Covid19-SIRV-v3 | 59d95156b375c41259c46ce4e656b86903f92ec2 | [
"Apache-2.0"
] | 36 | 2020-05-15T15:36:43.000Z | 2022-02-25T17:59:08.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from matplotlib import pyplot as plt
from matplotlib.ticker import ScalarFormatter
import pandas as pd
from covsirphy.util.argument import find_args
from covsirphy.visualization.vbase import VisualizeBase
class BarPlot(VisualizeBase):
"""
Create a bar plot.
... | 36.942308 | 152 | 0.599167 | 4,194 | 0.727746 | 0 | 0 | 0 | 0 | 0 | 0 | 2,760 | 0.478917 |
0c2c8fc01f580afd1e737eea2d3f4a891285699e | 3,342 | py | Python | 03-process-unsplash-dataset.py | l294265421/natural-language-image-search | 71621f2208f345b922ed0f82d406526cef456d48 | [
"MIT"
] | null | null | null | 03-process-unsplash-dataset.py | l294265421/natural-language-image-search | 71621f2208f345b922ed0f82d406526cef456d48 | [
"MIT"
] | null | null | null | 03-process-unsplash-dataset.py | l294265421/natural-language-image-search | 71621f2208f345b922ed0f82d406526cef456d48 | [
"MIT"
] | null | null | null | import os
import math
from pathlib import Path
import clip
import torch
from PIL import Image
import numpy as np
import pandas as pd
from common import common_path
# Set the path to the photos
# dataset_version = "lite" # Use "lite" or "full"
# photos_path = Path("unsplash-dataset") / dataset_version / "photos"
ph... | 36.326087 | 118 | 0.718731 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,335 | 0.399461 |
0c2caff0890d29c7f470b93cedd466717f34705f | 4,612 | py | Python | treadmill_pipeline/treadmill.py | ttngu207/project-treadmill | 55b5241b1c0b2634da8c153bf9aaeb511f28b07f | [
"MIT"
] | null | null | null | treadmill_pipeline/treadmill.py | ttngu207/project-treadmill | 55b5241b1c0b2634da8c153bf9aaeb511f28b07f | [
"MIT"
] | null | null | null | treadmill_pipeline/treadmill.py | ttngu207/project-treadmill | 55b5241b1c0b2634da8c153bf9aaeb511f28b07f | [
"MIT"
] | 4 | 2020-03-05T15:44:36.000Z | 2020-03-18T15:18:11.000Z | import numpy as np
import datajoint as dj
from treadmill_pipeline import project_database_prefix
from ephys.utilities import ingestion, time_sync
from ephys import get_schema_name
schema = dj.schema(project_database_prefix + 'treadmill_pipeline')
reference = dj.create_virtual_module('reference', get_schema_name('re... | 50.681319 | 130 | 0.624892 | 4,107 | 0.890503 | 0 | 0 | 4,115 | 0.892238 | 0 | 0 | 2,099 | 0.455117 |
0c3043c88aed8f6a40aafefe3d1e9548537a28e3 | 1,324 | py | Python | management/api/v1/serializers.py | bwksoftware/cypetulip | 4ea5c56d2d48a311220e144d094280a275109316 | [
"MIT"
] | 3 | 2019-08-03T12:00:22.000Z | 2020-02-02T08:37:09.000Z | management/api/v1/serializers.py | basetwode/cypetulip | d6be294a288706c5661afb433215fe6c3ffea92b | [
"MIT"
] | 47 | 2019-08-03T16:17:41.000Z | 2022-03-11T23:15:48.000Z | management/api/v1/serializers.py | basetwode/cypetulip | d6be294a288706c5661afb433215fe6c3ffea92b | [
"MIT"
] | null | null | null | from rest_framework import serializers
from management.models.main import MailSetting, LdapSetting, ShopSetting, LegalSetting, Header, CacheSetting, Footer
class MailSettingSerializer(serializers.ModelSerializer):
id = serializers.ReadOnlyField()
class Meta:
model = MailSetting
fields = '__a... | 22.066667 | 116 | 0.702417 | 1,146 | 0.865559 | 0 | 0 | 0 | 0 | 0 | 0 | 63 | 0.047583 |
0c309ee4537295e1c6db342512009ad9c9a55328 | 9,854 | py | Python | tests/test_optimal.py | craffer/fantasy-coty | 08903cb138fa1c2d160b90fc028c8ec55901040b | [
"MIT"
] | null | null | null | tests/test_optimal.py | craffer/fantasy-coty | 08903cb138fa1c2d160b90fc028c8ec55901040b | [
"MIT"
] | 2 | 2019-12-21T18:48:40.000Z | 2019-12-22T20:19:20.000Z | tests/test_optimal.py | craffer/fantasy-coty | 08903cb138fa1c2d160b90fc028c8ec55901040b | [
"MIT"
] | null | null | null | """Unit test optimal lineup functions."""
import unittest
import copy
import ff_espn_api # pylint: disable=import-error
from collections import defaultdict
from fantasy_coty.main import add_to_optimal
class TestAddToOptimal(unittest.TestCase):
"""Test add_to_optimal() function."""
def setUp(self):
"... | 46.046729 | 100 | 0.623909 | 9,600 | 0.974224 | 0 | 0 | 0 | 0 | 0 | 0 | 1,504 | 0.152628 |
0c31fa4744359e49cd3c719e5fe2aae79bc7f68a | 5,391 | py | Python | spark/explorer.py | Elavarasan17/Stack-Overflow-Data-Dump-Analysis | 3742a1eef17b211ddcda4bd5f41d8a8c42ec228f | [
"zlib-acknowledgement",
"RSA-MD"
] | null | null | null | spark/explorer.py | Elavarasan17/Stack-Overflow-Data-Dump-Analysis | 3742a1eef17b211ddcda4bd5f41d8a8c42ec228f | [
"zlib-acknowledgement",
"RSA-MD"
] | null | null | null | spark/explorer.py | Elavarasan17/Stack-Overflow-Data-Dump-Analysis | 3742a1eef17b211ddcda4bd5f41d8a8c42ec228f | [
"zlib-acknowledgement",
"RSA-MD"
] | null | null | null | from pyspark import SparkConf, SparkContext
from pyspark.sql import SparkSession, functions, types
from pyspark.sql.functions import date_format
from pyspark.sql.functions import year, month, dayofmonth
import sys
import json
import argparse
assert sys.version_info >= (3, 5) # make sure we have Python 3.5+
# add more ... | 70.012987 | 325 | 0.725654 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,165 | 0.401446 |
0c32795d8af79fcf1c3d723adbd4971a62b457ad | 2,177 | py | Python | self_supervised/loss.py | ravidziv/self-supervised-learning | f02c1639ce3c2119afa522e400d793e741fb68a0 | [
"MIT"
] | null | null | null | self_supervised/loss.py | ravidziv/self-supervised-learning | f02c1639ce3c2119afa522e400d793e741fb68a0 | [
"MIT"
] | null | null | null | self_supervised/loss.py | ravidziv/self-supervised-learning | f02c1639ce3c2119afa522e400d793e741fb68a0 | [
"MIT"
] | null | null | null | """Contrastive loss functions."""
from functools import partial
import tensorflow as tf
LARGE_NUM = 1e9
def cont_loss2(temperature: float):
func = partial(add_contrastive_loss, temperature=temperature)
func.__name__ = 'cont_loss2'
return func
def add_supervised_loss(labels: tf.Tensor, logits: tf.Tenso... | 36.283333 | 81 | 0.683969 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 478 | 0.219568 |
0c336dedc298c3448acb41a9e995e66ab5dfe2bf | 3,391 | py | Python | suzieq/engines/pandas/tables.py | zxiiro/suzieq | eca92820201c05bc80081599f69e41cd6b991107 | [
"Apache-2.0"
] | null | null | null | suzieq/engines/pandas/tables.py | zxiiro/suzieq | eca92820201c05bc80081599f69e41cd6b991107 | [
"Apache-2.0"
] | null | null | null | suzieq/engines/pandas/tables.py | zxiiro/suzieq | eca92820201c05bc80081599f69e41cd6b991107 | [
"Apache-2.0"
] | null | null | null | import pandas as pd
from suzieq.engines.pandas.engineobj import SqPandasEngine
from suzieq.sqobjects import get_sqobject
class TableObj(SqPandasEngine):
@staticmethod
def table_name():
return 'tables'
def get(self, **kwargs):
"""Show the known tables for which we have information"""
... | 34.252525 | 76 | 0.529932 | 3,266 | 0.963138 | 0 | 0 | 59 | 0.017399 | 0 | 0 | 712 | 0.209968 |
0c34007b8ed98fbad90350a4894f2960e309e1be | 3,306 | py | Python | connect_box/data.py | jtru/python-connect-box | 2d26923e966fbb319760da82e3e71103018ded0b | [
"MIT"
] | null | null | null | connect_box/data.py | jtru/python-connect-box | 2d26923e966fbb319760da82e3e71103018ded0b | [
"MIT"
] | null | null | null | connect_box/data.py | jtru/python-connect-box | 2d26923e966fbb319760da82e3e71103018ded0b | [
"MIT"
] | null | null | null | """Handle Data attributes."""
from datetime import datetime
from ipaddress import IPv4Address, IPv6Address, ip_address as convert_ip
from typing import Iterable, Union
import attr
@attr.s
class Device:
"""A single device."""
mac: str = attr.ib()
hostname: str = attr.ib(cmp=False)
ip: Union[IPv4Addre... | 24.857143 | 82 | 0.635209 | 3,019 | 0.913188 | 0 | 0 | 3,099 | 0.937387 | 0 | 0 | 467 | 0.141258 |