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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7e18bcbc29a2c01e32c9c2370ce6613e24de3611 | 10,660 | py | Python | stellarisdashboard/game_info.py | Akuukis/stellaris-dashboard | baf0de5abfaf1ade719f06c5d0ce76e7ee9d17df | [
"MIT",
"Unlicense"
] | 97 | 2018-03-24T14:18:21.000Z | 2022-01-16T16:25:55.000Z | stellarisdashboard/game_info.py | Akuukis/stellaris-dashboard | baf0de5abfaf1ade719f06c5d0ce76e7ee9d17df | [
"MIT",
"Unlicense"
] | 30 | 2018-03-25T01:06:44.000Z | 2022-01-28T10:24:19.000Z | stellarisdashboard/game_info.py | Akuukis/stellaris-dashboard | baf0de5abfaf1ade719f06c5d0ce76e7ee9d17df | [
"MIT",
"Unlicense"
] | 17 | 2018-03-25T15:45:30.000Z | 2022-01-09T13:58:32.000Z | PHYSICS_TECHS = {
"tech_databank_uplinks",
"tech_basic_science_lab_1",
"tech_curator_lab",
"tech_archeology_lab",
"tech_physics_lab_1",
"tech_physics_lab_2",
"tech_physics_lab_3",
"tech_global_research_initiative",
"tech_administrative_ai",
"tech_cryostasis_1",
"tech_cryostas... | 28.810811 | 98 | 0.711069 |
7e19545cdf8ccda12d1556b38db20f32c4aa3c1c | 1,112 | py | Python | web/misc/webapi_client/__init__.py | procool/mygw | f35b72b5915d314e883dcde45c3c33ff26f173df | [
"BSD-2-Clause"
] | null | null | null | web/misc/webapi_client/__init__.py | procool/mygw | f35b72b5915d314e883dcde45c3c33ff26f173df | [
"BSD-2-Clause"
] | null | null | null | web/misc/webapi_client/__init__.py | procool/mygw | f35b72b5915d314e883dcde45c3c33ff26f173df | [
"BSD-2-Clause"
] | null | null | null | import re
from flaskcbv.conf import settings
from misc.httpclient import httpClient
re_session = re.compile(r"session=(.*?);")
| 25.272727 | 77 | 0.629496 |
7e1a810629ff4e92bba844d970fa5906ec4f3338 | 3,689 | py | Python | starfish/pipeline/filter/gaussian_high_pass.py | Xiaojieqiu/starfish | 426480fcfeda4b8b1eb9371a818ff20275ac898d | [
"MIT"
] | 1 | 2018-10-07T03:53:43.000Z | 2018-10-07T03:53:43.000Z | starfish/pipeline/filter/gaussian_high_pass.py | Xiaojieqiu/starfish | 426480fcfeda4b8b1eb9371a818ff20275ac898d | [
"MIT"
] | null | null | null | starfish/pipeline/filter/gaussian_high_pass.py | Xiaojieqiu/starfish | 426480fcfeda4b8b1eb9371a818ff20275ac898d | [
"MIT"
] | null | null | null | import argparse
from functools import partial
from numbers import Number
from typing import Callable, Union, Tuple, Optional
import numpy as np
from skimage import img_as_uint
from starfish.errors import DataFormatWarning
from starfish.image import ImageStack
from starfish.pipeline.filter.gaussian_low_pass import Gau... | 35.815534 | 119 | 0.632421 |
7e1b0a8590a411950b17f4ae15287aa43064930c | 2,040 | py | Python | WDJN/eval/svm_eval_acc.py | silverriver/Stylized_Dialog | 559dd97c4ec9c91e94deb048f789684ef3f1f9fa | [
"MIT"
] | 21 | 2020-12-16T08:53:38.000Z | 2022-01-21T09:08:55.000Z | WDJN/eval/svm_eval_acc.py | silverriver/Stylized_Dialog | 559dd97c4ec9c91e94deb048f789684ef3f1f9fa | [
"MIT"
] | 1 | 2020-12-27T07:56:01.000Z | 2020-12-30T05:13:11.000Z | WDJN/eval/svm_eval_acc.py | silverriver/Stylized_Dialog | 559dd97c4ec9c91e94deb048f789684ef3f1f9fa | [
"MIT"
] | 1 | 2022-02-28T12:19:19.000Z | 2022-02-28T12:19:19.000Z | import torch
import torch.nn as nn
import sklearn
from sklearn import svm
from sklearn import metrics
from sklearn.externals import joblib
import numpy as np
from text import Vocab
import random
import os
import json
from tqdm import tqdm, trange
from random import sample
import pickle
models = [
["bt_beam", "eval/inf... | 30 | 86 | 0.701961 |
7e1d6767408fd3f3df4bbb5588442b63585f4595 | 5,937 | py | Python | factom_core/blockchains/base.py | sourcery-ai-bot/factom-core | 186dca550d98d758e9f8dab878e6382153efeaf3 | [
"MIT"
] | null | null | null | factom_core/blockchains/base.py | sourcery-ai-bot/factom-core | 186dca550d98d758e9f8dab878e6382153efeaf3 | [
"MIT"
] | null | null | null | factom_core/blockchains/base.py | sourcery-ai-bot/factom-core | 186dca550d98d758e9f8dab878e6382153efeaf3 | [
"MIT"
] | null | null | null | from typing import Any, List
import factom_core.blocks as blocks
from factom_core.db import FactomdLevelDB
from .pending_block import PendingBlock
| 39.58 | 118 | 0.662961 |
7e1f08195236c36e7e4adbc510902d90c5d6a72a | 492 | py | Python | bot/plugins/bongo.py | Preocts/twitch-chat-bot | 50341c30d8eada4b50634c8f25a9eb0eed681735 | [
"MIT"
] | 62 | 2019-11-16T22:07:42.000Z | 2022-03-08T20:50:01.000Z | bot/plugins/bongo.py | Preocts/twitch-chat-bot | 50341c30d8eada4b50634c8f25a9eb0eed681735 | [
"MIT"
] | 30 | 2019-03-19T15:05:55.000Z | 2022-03-24T05:00:53.000Z | bot/plugins/bongo.py | Preocts/twitch-chat-bot | 50341c30d8eada4b50634c8f25a9eb0eed681735 | [
"MIT"
] | 56 | 2019-06-08T20:34:31.000Z | 2022-02-21T20:10:38.000Z | from __future__ import annotations
from typing import Match
from bot.config import Config
from bot.data import command
from bot.data import esc
from bot.data import format_msg
| 22.363636 | 76 | 0.676829 |
7e1f4ae6822590bfe77246c78771d04e3114e141 | 532 | py | Python | sensorsproject/settings/dev_edwin.py | edwinsteele/sensorsproject | 21164b9bb437a3b1bbcc05f05c58cd5621bd4501 | [
"CC0-1.0"
] | null | null | null | sensorsproject/settings/dev_edwin.py | edwinsteele/sensorsproject | 21164b9bb437a3b1bbcc05f05c58cd5621bd4501 | [
"CC0-1.0"
] | 2 | 2020-02-12T01:18:25.000Z | 2020-06-05T18:40:51.000Z | sensorsproject/settings/dev_edwin.py | edwinsteele/sensorsproject | 21164b9bb437a3b1bbcc05f05c58cd5621bd4501 | [
"CC0-1.0"
] | null | null | null | __author__ = 'esteele'
# Common settings
from .base import *
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.postgresql_psycopg2',
'NAME': 'sensors',
'USER': '',
'PASSWORD': '',
'HOST': 'localhost',
'PORT': '',
}
}
DEBUG = True
TEMPLATE_DEBUG = DEBUG
... | 22.166667 | 74 | 0.62218 |
7e20dfa0bd8d4cf4dfc335988fbdb52ffa2d141f | 110 | py | Python | EduRec/meta/__init__.py | tswsxk/EduRec | b7514acc4dea805375fe512534d8ab6ad8916374 | [
"MIT"
] | 2 | 2021-03-03T11:04:53.000Z | 2021-09-03T09:12:32.000Z | EduRec/meta/__init__.py | tswsxk/EduRec | b7514acc4dea805375fe512534d8ab6ad8916374 | [
"MIT"
] | null | null | null | EduRec/meta/__init__.py | tswsxk/EduRec | b7514acc4dea805375fe512534d8ab6ad8916374 | [
"MIT"
] | 1 | 2021-03-22T02:55:53.000Z | 2021-03-22T02:55:53.000Z | # coding: utf-8
# 2021/2/10 @ tongshiwei
from .MeasurementModel import MeasurementModel
from .SLM import SLM
| 18.333333 | 46 | 0.772727 |
7e20e4b11c633a3d5298ade6bd642d38cd22c88d | 1,066 | py | Python | load_model.py | zhfeing/cifar-10-test | c0b8695db73888b1756e5b078cd03203ab233297 | [
"MIT"
] | null | null | null | load_model.py | zhfeing/cifar-10-test | c0b8695db73888b1756e5b078cd03203ab233297 | [
"MIT"
] | null | null | null | load_model.py | zhfeing/cifar-10-test | c0b8695db73888b1756e5b078cd03203ab233297 | [
"MIT"
] | null | null | null | import keras
import os
def load_model(version, new_model, retrain=False, *args):
"""
:param version: model version
:param new_model: method for call to get a new model e.g. my_ResNet.my_ResNet
:param retrain: True: load new model
:return:
"""
create_new_model = False
# load model
i... | 33.3125 | 103 | 0.604128 |
7e22285b67f177bfff44a11d4ab8750cb32facff | 953 | py | Python | src/bioplottemplates/cli_labeldots.py | joaomcteixeira/python-bioplottemplates | 17f617fba3ce29eb458ec701363027f11beaf7c5 | [
"MIT"
] | null | null | null | src/bioplottemplates/cli_labeldots.py | joaomcteixeira/python-bioplottemplates | 17f617fba3ce29eb458ec701363027f11beaf7c5 | [
"MIT"
] | null | null | null | src/bioplottemplates/cli_labeldots.py | joaomcteixeira/python-bioplottemplates | 17f617fba3ce29eb458ec701363027f11beaf7c5 | [
"MIT"
] | null | null | null | import argparse
from bioplottemplates.libs import libcli, libio
from bioplottemplates.plots import label_dots
ap = libcli.CustomParser(
description=__doc__,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
ap.add_argument(
'data_csv',
help='The CSVs files to plot',
nargs='+',
)
... | 17.648148 | 59 | 0.623295 |
7e245908b2f4ad986cdcf99565e90fb90d1d0b11 | 94 | py | Python | tadataka/feature/__init__.py | IshitaTakeshi/Tadataka | 852c7afb904503005e51884408e1492ef0be836f | [
"Apache-2.0"
] | 54 | 2019-11-15T16:30:34.000Z | 2022-01-13T15:18:54.000Z | tadataka/feature/__init__.py | IshitaTakeshi/Tadataka | 852c7afb904503005e51884408e1492ef0be836f | [
"Apache-2.0"
] | 11 | 2019-02-28T08:28:24.000Z | 2020-04-07T04:47:12.000Z | tadataka/feature/__init__.py | IshitaTakeshi/Tadataka | 852c7afb904503005e51884408e1492ef0be836f | [
"Apache-2.0"
] | 1 | 2020-02-26T13:59:40.000Z | 2020-02-26T13:59:40.000Z | from tadataka.feature.feature import (
extract_features, empty_match, Features, Matcher
)
| 23.5 | 52 | 0.787234 |
7e249d769adff61f3ed7920cc7d27c1e95686e3c | 887 | py | Python | class/cls_006.py | rpoliselit/python-for-dummies | d6f45a966a5238058953f93d8660832fa692b3d4 | [
"MIT"
] | null | null | null | class/cls_006.py | rpoliselit/python-for-dummies | d6f45a966a5238058953f93d8660832fa692b3d4 | [
"MIT"
] | null | null | null | class/cls_006.py | rpoliselit/python-for-dummies | d6f45a966a5238058953f93d8660832fa692b3d4 | [
"MIT"
] | null | null | null | # Custom errors in classes.
book_1 = Book("Fluent Python", 800)
try:
book_1.read(450)
book_1.read(800)
except TooManyPagesReadError as e:
print(e)
finally:
print(book_1)
| 26.878788 | 112 | 0.641488 |
7e25064cbef2ae141cd04ce9086cb43f954ff0bf | 661 | py | Python | data/external/repositories/113677/KaggleBillionWordImputation-master/scripts/test_stanford_nltk.py | Keesiu/meta-kaggle | 87de739aba2399fd31072ee81b391f9b7a63f540 | [
"MIT"
] | null | null | null | data/external/repositories/113677/KaggleBillionWordImputation-master/scripts/test_stanford_nltk.py | Keesiu/meta-kaggle | 87de739aba2399fd31072ee81b391f9b7a63f540 | [
"MIT"
] | null | null | null | data/external/repositories/113677/KaggleBillionWordImputation-master/scripts/test_stanford_nltk.py | Keesiu/meta-kaggle | 87de739aba2399fd31072ee81b391f9b7a63f540 | [
"MIT"
] | 1 | 2019-12-04T08:23:33.000Z | 2019-12-04T08:23:33.000Z | #!/usr/bin/env python
import sys, bz2
sys.path.insert(0, '/Users/timpalpant/Documents/Workspace/corenlp-python')
import nltk
from nltk.tree import Tree
from corenlp import StanfordCoreNLP
from remove_random_word import remove_random_word
print "Booting StanfordCoreNLP"
nlp = StanfordCoreNLP()
print "Initializing tra... | 30.045455 | 74 | 0.748865 |
7e25a7271dfc02edc1e4d7ee8ec27394dc69dcb1 | 35,165 | py | Python | psyneulink/core/rpc/graph_pb2.py | JeshuaT/PsyNeuLink | 912f691028e848659055430f37b6c15273c762f1 | [
"Apache-2.0"
] | 67 | 2018-01-05T22:18:44.000Z | 2022-03-27T11:27:31.000Z | psyneulink/core/rpc/graph_pb2.py | JeshuaT/PsyNeuLink | 912f691028e848659055430f37b6c15273c762f1 | [
"Apache-2.0"
] | 1,064 | 2017-12-01T18:58:27.000Z | 2022-03-31T22:22:24.000Z | psyneulink/core/rpc/graph_pb2.py | JeshuaT/PsyNeuLink | 912f691028e848659055430f37b6c15273c762f1 | [
"Apache-2.0"
] | 25 | 2017-12-01T20:27:07.000Z | 2022-03-08T21:49:39.000Z | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: graph.proto
from google.protobuf.internal import enum_type_wrapper
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
fro... | 34.34082 | 2,882 | 0.746936 |
7e264599a8cb2bf8b1fd89fbf7da642cc5d1526e | 7,549 | py | Python | parsifal/library/models.py | reeta1234/parsifal | dc2ea19916e7430634e2efd3e1bacc89ebbde4f1 | [
"MIT"
] | null | null | null | parsifal/library/models.py | reeta1234/parsifal | dc2ea19916e7430634e2efd3e1bacc89ebbde4f1 | [
"MIT"
] | 6 | 2020-06-06T00:35:23.000Z | 2022-03-12T00:15:47.000Z | parsifal/library/models.py | reeta1234/parsifal | dc2ea19916e7430634e2efd3e1bacc89ebbde4f1 | [
"MIT"
] | null | null | null | # coding: utf-8
from django.db import models
from django.contrib.auth.models import User
from django.utils.text import slugify
def document_file_upload_to(instance, filename):
return u'library/{0}/'.format(instance.document.user.pk)
| 38.126263 | 113 | 0.672672 |
7e27a51c16ce0ebdda612a36ad33d8d6b8a40c5b | 2,668 | py | Python | getkills/mongoconn.py | namrak/pyzkillredisq | da0c1fe02945f9da13795609a2f2debd95a0e74a | [
"MIT"
] | null | null | null | getkills/mongoconn.py | namrak/pyzkillredisq | da0c1fe02945f9da13795609a2f2debd95a0e74a | [
"MIT"
] | null | null | null | getkills/mongoconn.py | namrak/pyzkillredisq | da0c1fe02945f9da13795609a2f2debd95a0e74a | [
"MIT"
] | null | null | null | from pymongo import MongoClient, errors
import tstp
from mdb import creds
def connect(logfile):
"""connect to mongodb"""
try:
client = MongoClient(creds['ip'], int(creds['port']))
db = client.fpLoss
db.authenticate(creds['un'], creds['pw'])
return db
except errors.ServerSele... | 37.577465 | 97 | 0.583208 |
7e27b75092d500071f0de2b5c912b9202dacc53e | 4,785 | py | Python | test.py | richardfergie/ForecastGA | ce4ddc778d0be68f504e1bfc300be6b2fe870cb7 | [
"MIT"
] | 30 | 2021-01-02T16:14:55.000Z | 2022-02-11T23:17:18.000Z | test.py | richardfergie/ForecastGA | ce4ddc778d0be68f504e1bfc300be6b2fe870cb7 | [
"MIT"
] | 2 | 2021-01-11T16:56:23.000Z | 2021-02-04T00:37:56.000Z | test.py | richardfergie/ForecastGA | ce4ddc778d0be68f504e1bfc300be6b2fe870cb7 | [
"MIT"
] | 8 | 2021-01-10T19:04:22.000Z | 2021-11-14T18:47:22.000Z | # Libraries
import pandas as pd
import numpy as np
import re
from datetime import datetime
from dateutil.rrule import rrule, MONTHLY
import matplotlib.pyplot as plt
import json
import forecastga
import forecastga.googleanalytics as ga
# Logging
import logging
logging.basicConfig(level=logging.DEBUG)
log = logging.... | 28.825301 | 225 | 0.654127 |
7e27fd655e7f176518f5547ff5db4f5b22ff9992 | 574 | py | Python | Simulation/Simulation/intervention.py | anoppa/Proyecto-IA-Sim-Comp | 71132bd0c6cb5aeff812fd96e0017be71178a5f3 | [
"MIT"
] | 1 | 2022-03-11T14:24:10.000Z | 2022-03-11T14:24:10.000Z | Simulation/Simulation/intervention.py | anoppa/Proyecto-IA-Sim-Comp | 71132bd0c6cb5aeff812fd96e0017be71178a5f3 | [
"MIT"
] | null | null | null | Simulation/Simulation/intervention.py | anoppa/Proyecto-IA-Sim-Comp | 71132bd0c6cb5aeff812fd96e0017be71178a5f3 | [
"MIT"
] | 1 | 2022-01-19T04:29:19.000Z | 2022-01-19T04:29:19.000Z | from .agent import Agent
from typing import List
from .activation_rule import ActivationRule
| 22.96 | 80 | 0.614983 |
7e2848ed83aa47cbc6a16174581fc8a9c100f6b0 | 79,206 | py | Python | xanalysis_groundstate_paper_figs.py | kseetharam/genPolaron | b4eb05c595f1dc7151aa564f56fcfbdeded570c5 | [
"MIT"
] | null | null | null | xanalysis_groundstate_paper_figs.py | kseetharam/genPolaron | b4eb05c595f1dc7151aa564f56fcfbdeded570c5 | [
"MIT"
] | null | null | null | xanalysis_groundstate_paper_figs.py | kseetharam/genPolaron | b4eb05c595f1dc7151aa564f56fcfbdeded570c5 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
import xarray as xr
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
from matplotlib.lines import Line2D
import matplotlib.colors as colors
from matplotlib.animation import writers
from matplotlib.patches import ConnectionPatch
impor... | 51.332469 | 257 | 0.626985 |
7e28c7fed222b2d6fc00b0669d8343daf9331941 | 286 | py | Python | demo/onlyuserrole/demo/urls.py | tangdyy/onlyuserclient | d93b4e1077afda6b58bba002729f6bc89b988c7a | [
"MIT"
] | 2 | 2021-03-12T00:42:13.000Z | 2021-05-24T06:31:13.000Z | demo/onlyuserrole/demo/urls.py | tangdyy/onlyuserclient | d93b4e1077afda6b58bba002729f6bc89b988c7a | [
"MIT"
] | null | null | null | demo/onlyuserrole/demo/urls.py | tangdyy/onlyuserclient | d93b4e1077afda6b58bba002729f6bc89b988c7a | [
"MIT"
] | null | null | null | from django.conf.urls import url
from django.urls import path,include
from rest_framework import routers
from .views import RoleViewSet
router = routers.DefaultRouter()
router.register(r'roles', RoleViewSet, basename='role')
urlpatterns = [
url(r'^', include(router.urls)),
]
| 22 | 55 | 0.755245 |
7e28d10904cede451441c32ece55951a633841a9 | 547 | py | Python | data_structures/heap/heap_using_heapq.py | ruler30cm/python-ds | f84605c5b746ea1d46de3d00b86f5fba399445c7 | [
"MIT"
] | 1,723 | 2019-07-30T07:06:22.000Z | 2022-03-31T15:22:22.000Z | data_structures/heap/heap_using_heapq.py | ruler30cm/python-ds | f84605c5b746ea1d46de3d00b86f5fba399445c7 | [
"MIT"
] | 213 | 2019-10-06T08:07:47.000Z | 2021-10-04T15:38:36.000Z | data_structures/heap/heap_using_heapq.py | ruler30cm/python-ds | f84605c5b746ea1d46de3d00b86f5fba399445c7 | [
"MIT"
] | 628 | 2019-10-06T10:26:25.000Z | 2022-03-31T01:41:00.000Z | """
Heap in python using heapq library function
Note: by default, heapq creates a min-heap. To make it a
max-heap, add items after multiplying them by -1
"""
from heapq import heappop, heappush, heapify
heap = []
heapify(heap)
heappush(heap, 10)
heappush(heap, 11)
heappush(heap, 2)
heappush(heap, 4)
heappush(heap,... | 20.259259 | 57 | 0.714808 |
7e29ac378ea3d06f25904da8b4888983e79680b8 | 3,161 | py | Python | paracept.py | andrinethomas/Tensorflow-vehicle-detection-using-camera-and-db-accessing-mysql | 4d76cc24a9ea67bbf16409f8ce30ec373b55f969 | [
"FTL",
"CNRI-Python"
] | 1 | 2021-07-07T14:12:37.000Z | 2021-07-07T14:12:37.000Z | paracept.py | andrinethomas/Tensorflow-vehicle-detection-using-camera-and-db-accessing-mysql | 4d76cc24a9ea67bbf16409f8ce30ec373b55f969 | [
"FTL",
"CNRI-Python"
] | null | null | null | paracept.py | andrinethomas/Tensorflow-vehicle-detection-using-camera-and-db-accessing-mysql | 4d76cc24a9ea67bbf16409f8ce30ec373b55f969 | [
"FTL",
"CNRI-Python"
] | 1 | 2019-12-02T11:17:42.000Z | 2019-12-02T11:17:42.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Apr 2 17:55:47 2018
@author: tensorflow-cuda
"""
import numpy as np
import os
import sys
import tensorflow as tf
from PIL import Image, ImageFile
ImageFile.LOAD_TRUNCATED_IMAGES = True
import pytesseract
from custom_plate import allow_needed_values... | 39.024691 | 130 | 0.672572 |
7e2bbd84e61191db51ca260c5490c7e1b2095162 | 2,245 | py | Python | test/test_words.py | dubmix3105/pysh | dbd14ee8445a983ee6c736e4041e47ddfa4edacc | [
"MIT"
] | 7 | 2019-07-15T14:32:23.000Z | 2021-08-08T01:17:05.000Z | test/test_words.py | dubmix3105/pysh | dbd14ee8445a983ee6c736e4041e47ddfa4edacc | [
"MIT"
] | null | null | null | test/test_words.py | dubmix3105/pysh | dbd14ee8445a983ee6c736e4041e47ddfa4edacc | [
"MIT"
] | 1 | 2021-01-02T04:13:43.000Z | 2021-01-02T04:13:43.000Z | import sys
import pytest
from pysh import shwords, shwords_f
| 27.716049 | 117 | 0.535857 |
7e2c4a41a01548c788b1f56baad24c0343c82cf7 | 753 | py | Python | slender/tests/dictionary/test_contain.py | torokmark/slender | 3bf815e22f7802ba48706f31ba608cf609e23e68 | [
"Apache-2.0"
] | 1 | 2020-01-10T21:51:46.000Z | 2020-01-10T21:51:46.000Z | slender/tests/dictionary/test_contain.py | torokmark/slender | 3bf815e22f7802ba48706f31ba608cf609e23e68 | [
"Apache-2.0"
] | null | null | null | slender/tests/dictionary/test_contain.py | torokmark/slender | 3bf815e22f7802ba48706f31ba608cf609e23e68 | [
"Apache-2.0"
] | null | null | null | from unittest import TestCase, skip
from expects import *
from slender import Dictionary
| 26.892857 | 62 | 0.636122 |
7e2cb45d24767d8a20fc314235185561540eae21 | 490 | py | Python | Python/0263_ugly_number.py | codingyen/CodeAlone | b16653957258ac09f74bb1a380f29dd93e055a44 | [
"MIT"
] | 2 | 2018-08-20T04:38:06.000Z | 2019-02-03T07:48:28.000Z | Python/0263_ugly_number.py | codingyen/CodeAlone | b16653957258ac09f74bb1a380f29dd93e055a44 | [
"MIT"
] | null | null | null | Python/0263_ugly_number.py | codingyen/CodeAlone | b16653957258ac09f74bb1a380f29dd93e055a44 | [
"MIT"
] | null | null | null | # Time: O(logn) = O(1)
# Space: O(1)
if __name__ == "__main__":
num = 14
s = Solution()
print(s.isUgly(num)) | 17.5 | 27 | 0.418367 |
7e2dc1431668b0a5582c7ad9343a0741d27a1ebf | 386 | py | Python | execute_sweep.py | kinoai/skyhacks2020 | 5615046d4ca6fbae0c9c37a43b27de57ecc95fe5 | [
"MIT"
] | null | null | null | execute_sweep.py | kinoai/skyhacks2020 | 5615046d4ca6fbae0c9c37a43b27de57ecc95fe5 | [
"MIT"
] | null | null | null | execute_sweep.py | kinoai/skyhacks2020 | 5615046d4ca6fbae0c9c37a43b27de57ecc95fe5 | [
"MIT"
] | null | null | null | import wandb
import main
# Load project config
config = main.load_config()
# Initialize wandb
wandb.init()
# Replace project config hyperparameters with the ones loaded from wandb sweep server
sweep_hparams = wandb.Config._as_dict(wandb.config)
for key, value in sweep_hparams.items():
if key != "_wandb":
... | 20.315789 | 85 | 0.738342 |
7e2e521370325b840ed1d98818e4306df758c1b7 | 1,720 | py | Python | setup.py | paoloelena15/gutenberg | dd6da5c1d8768737d3403fd391101ad5a901400b | [
"Apache-2.0"
] | null | null | null | setup.py | paoloelena15/gutenberg | dd6da5c1d8768737d3403fd391101ad5a901400b | [
"Apache-2.0"
] | null | null | null | setup.py | paoloelena15/gutenberg | dd6da5c1d8768737d3403fd391101ad5a901400b | [
"Apache-2.0"
] | null | null | null | """Library installer."""
from __future__ import absolute_import, unicode_literals
from platform import system
from sys import version_info
import codecs
from setuptools import find_packages
from setuptools import setup
install_requires = [
'future>=0.15.2',
'rdflib>=4.2.0',
'requests>=2.5.1',
'six>=... | 29.152542 | 70 | 0.634884 |
7e2f328c32199a0d821d457fa05c20e5d98cdc91 | 9,641 | py | Python | deep_sdf_prior.py | nicolaihaeni/shapenet-pyrender | 2d5054f33530257301193c506663e4dc4db8d85a | [
"Apache-2.0"
] | null | null | null | deep_sdf_prior.py | nicolaihaeni/shapenet-pyrender | 2d5054f33530257301193c506663e4dc4db8d85a | [
"Apache-2.0"
] | null | null | null | deep_sdf_prior.py | nicolaihaeni/shapenet-pyrender | 2d5054f33530257301193c506663e4dc4db8d85a | [
"Apache-2.0"
] | null | null | null | # Top of main python script
import os
os.environ["PYOPENGL_PLATFORM"] = "egl"
import sys
import random
import argparse
import numpy as np
import trimesh
import imageio
import open3d as o3d
from mathutils import Matrix
import h5py
import json
from mesh_to_sdf import get_surface_point_cloud
import pyrender
import uti... | 28.523669 | 88 | 0.563842 |
7e2fade8c98465a167e99e3c11e9a3c85426d6ee | 2,913 | py | Python | wiki-preparation/dump_topn.py | bertrandlalo/piaf-code | 2c879590fca92d85bb6a51e13c9603dd2f7c573f | [
"MIT"
] | 8 | 2020-02-07T15:28:15.000Z | 2021-03-25T22:58:21.000Z | wiki-preparation/dump_topn.py | etalab-ia/piaf-code | 86948a73b26498948e70ad92e4b9b0231eac81f7 | [
"MIT"
] | null | null | null | wiki-preparation/dump_topn.py | etalab-ia/piaf-code | 86948a73b26498948e70ad92e4b9b0231eac81f7 | [
"MIT"
] | null | null | null | import struct
import pickle
import sys
if __name__ == "__main__":
if len(sys.argv) < 3:
print(
"Usage: \n dump_topn.py top_N input_path_wikipedia-pageranks.raw"
" input_path_wikipedia-pagerank-id-title.raw"
" output_path_wikipedia-pagerank-title.txt")
exit(1)
... | 29.13 | 100 | 0.61174 |
7e30930c06c92e07eeb6ff1012f99ba08b74bc72 | 213 | py | Python | dzdp-server/app/source/job_creator.py | Onekki/dzdp | a4625b8ef998ed09845442837b8a7b6369011f5d | [
"MIT"
] | null | null | null | dzdp-server/app/source/job_creator.py | Onekki/dzdp | a4625b8ef998ed09845442837b8a7b6369011f5d | [
"MIT"
] | null | null | null | dzdp-server/app/source/job_creator.py | Onekki/dzdp | a4625b8ef998ed09845442837b8a7b6369011f5d | [
"MIT"
] | null | null | null | from fetcher.source.fetcher import Fetcher
from fetcher.source.managers.notification import FetcherException
| 23.666667 | 65 | 0.769953 |
7e357df698ecec1e1881a2b4bd0ec295d7103a9f | 1,102 | py | Python | users/forms.py | shyam999/Django-blog | 8f59987f362be0edca4e1542f820eb0d82c7bf2c | [
"MIT"
] | 13 | 2020-04-16T14:34:07.000Z | 2021-06-22T04:27:02.000Z | users/forms.py | alexhan-sys/Django-blog | 563d1975d85b2c288d6d58b5af8d54f9ab16541e | [
"MIT"
] | 4 | 2021-03-30T13:00:21.000Z | 2022-01-13T02:30:26.000Z | users/forms.py | alexhan-sys/Django-blog | 563d1975d85b2c288d6d58b5af8d54f9ab16541e | [
"MIT"
] | 5 | 2020-04-09T18:01:45.000Z | 2021-09-06T12:47:17.000Z | from django import forms
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User
from .models import UserProfile | 28.25641 | 120 | 0.627949 |
7e35b708c6a565669ac9a9afca16f8645635f9cc | 3,437 | py | Python | StatementExample/urls.py | linkhub-sdk/popbill.example.django | 85ea168fd1497b690652c3f8c46b560ed7a0e1b1 | [
"MIT"
] | null | null | null | StatementExample/urls.py | linkhub-sdk/popbill.example.django | 85ea168fd1497b690652c3f8c46b560ed7a0e1b1 | [
"MIT"
] | 5 | 2020-02-11T23:43:56.000Z | 2022-03-18T08:13:13.000Z | StatementExample/urls.py | linkhub-sdk/popbill.example.django | 85ea168fd1497b690652c3f8c46b560ed7a0e1b1 | [
"MIT"
] | 1 | 2018-03-29T09:20:06.000Z | 2018-03-29T09:20:06.000Z | # -*- coding: utf-8 -*-
from django.conf.urls import url
from . import views
urlpatterns = [
# Index Page
url(r'^$', views.index, name='index'),
#
url(r'^CheckMgtKeyInUse$', views.checkMgtKeyInUse, name='CheckMgtKeyInUse'),
url(r'^RegistIssue$', views.registIssue, name='RegistIssue'),
url(r... | 48.408451 | 83 | 0.683445 |
7e35ba512bdc355a15686da4ebde9ef6630fcc86 | 564 | py | Python | setup.py | enricobacis/timeme | 6c906bf40daa547a8a11f034bd00b30f74519a72 | [
"MIT"
] | 1 | 2017-02-16T07:59:22.000Z | 2017-02-16T07:59:22.000Z | setup.py | enricobacis/timeme | 6c906bf40daa547a8a11f034bd00b30f74519a72 | [
"MIT"
] | null | null | null | setup.py | enricobacis/timeme | 6c906bf40daa547a8a11f034bd00b30f74519a72 | [
"MIT"
] | null | null | null | from setuptools import setup
with open('README.rst') as README:
long_description = README.read()
long_description = long_description[long_description.index('Description'):]
setup(name='timeme',
version='0.1.1',
description='Decorator that prints the running time of a function',
long_descript... | 31.333333 | 79 | 0.695035 |
7e36100f24d4559426fcc2bf85da8105f8f8b446 | 7,385 | py | Python | tests/interface/test_cli.py | annakasprzik/qualle | 871f7fbce3d6d3da07fe7197cf21a5a68720645d | [
"Apache-2.0"
] | null | null | null | tests/interface/test_cli.py | annakasprzik/qualle | 871f7fbce3d6d3da07fe7197cf21a5a68720645d | [
"Apache-2.0"
] | null | null | null | tests/interface/test_cli.py | annakasprzik/qualle | 871f7fbce3d6d3da07fe7197cf21a5a68720645d | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 ZBW Leibniz Information Centre for Economics
#
# 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... | 33.568182 | 78 | 0.728097 |
7e36ca55713be33821350bb8d4032d7301720cee | 12,743 | py | Python | lale/lib/lale/smac.py | ksrinivs64/lale | e0ffc357c3711940078718717aebc5b06c9dc4ae | [
"Apache-2.0"
] | null | null | null | lale/lib/lale/smac.py | ksrinivs64/lale | e0ffc357c3711940078718717aebc5b06c9dc4ae | [
"Apache-2.0"
] | null | null | null | lale/lib/lale/smac.py | ksrinivs64/lale | e0ffc357c3711940078718717aebc5b06c9dc4ae | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 IBM Corporation
#
# 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, ... | 34.627717 | 137 | 0.556541 |
7e3819a044cb8584161c27f50d05ce5285d87d92 | 84 | py | Python | org.beerware.empty.app/assets/axp.py | pmp-p/projects | e958ef2c6d89d0d818086d4c88668d46044ace14 | [
"MIT"
] | null | null | null | org.beerware.empty.app/assets/axp.py | pmp-p/projects | e958ef2c6d89d0d818086d4c88668d46044ace14 | [
"MIT"
] | 3 | 2020-11-01T18:54:24.000Z | 2020-11-15T03:59:34.000Z | org.beerware.empty.app/assets/axp.py | pmp-p/projects | e958ef2c6d89d0d818086d4c88668d46044ace14 | [
"MIT"
] | null | null | null |
from android import *
print(widget.Button)
from android.widget import TextView
| 9.333333 | 35 | 0.77381 |
7e383cf10dafc058011f30ba8f5f288676b64fb4 | 777 | py | Python | app/routes/student/subjects.py | roshnet/Electron-Server | f21ced024d69d7d96e89a2aa90c80f3d6757b3e1 | [
"MIT"
] | null | null | null | app/routes/student/subjects.py | roshnet/Electron-Server | f21ced024d69d7d96e89a2aa90c80f3d6757b3e1 | [
"MIT"
] | 5 | 2021-10-30T06:04:47.000Z | 2021-11-14T21:09:00.000Z | app/routes/student/subjects.py | roshnet/Electron-Server | f21ced024d69d7d96e89a2aa90c80f3d6757b3e1 | [
"MIT"
] | 1 | 2022-02-28T15:24:58.000Z | 2022-02-28T15:24:58.000Z | from app import app
from app.database import db
from app.database.models.student_subject_map import StudentSubjectMap
from app.database.models.subjects import Subjects
from fastapi import Depends, Response, status
from fastapi_jwt_auth import AuthJWT
| 31.08 | 86 | 0.728443 |
7e385eaec934a61b23372d87a81690aa42330d15 | 3,425 | py | Python | examples/runner/parallel/pipedream.py | nox-410/Hetu | aa5065ac40a1225f26fe42c92b5077da77e16745 | [
"Apache-2.0"
] | null | null | null | examples/runner/parallel/pipedream.py | nox-410/Hetu | aa5065ac40a1225f26fe42c92b5077da77e16745 | [
"Apache-2.0"
] | null | null | null | examples/runner/parallel/pipedream.py | nox-410/Hetu | aa5065ac40a1225f26fe42c92b5077da77e16745 | [
"Apache-2.0"
] | null | null | null | import hetu as ht
import os
import sys
import time
import argparse
import numpy as np
if __name__ == "__main__":
# argument parser
parser = argparse.ArgumentParser()
parser.add_argument('--epochs', type=int, default=5, help='training epochs')
parser.add_argument('--warmup', type=int, default=2, help='... | 35.677083 | 101 | 0.634453 |
7e38b53b5f4c4aae5647971334f2234e632edaa5 | 1,069 | py | Python | chapter100/mongodb_04.py | thiagola92/learning-databases-with-python | cf23c34d7fd1ecd36dd3e7b30dc5916eb23eaf1e | [
"MIT"
] | null | null | null | chapter100/mongodb_04.py | thiagola92/learning-databases-with-python | cf23c34d7fd1ecd36dd3e7b30dc5916eb23eaf1e | [
"MIT"
] | null | null | null | chapter100/mongodb_04.py | thiagola92/learning-databases-with-python | cf23c34d7fd1ecd36dd3e7b30dc5916eb23eaf1e | [
"MIT"
] | null | null | null | import time
from pymongo import MongoClient
from datetime import datetime
from threading import Thread, Lock
start = datetime.now()
client = MongoClient("mongodb://username:password@127.0.0.1")
database = client["database_name"]
collection = database["collection_name"]
threads_count = 0
lock = Lock()
package = []
... | 20.169811 | 72 | 0.656688 |
7e3921c5fde4463df2c8911c8615d3a22260d5d9 | 1,071 | py | Python | Arrays/trapping_rain_water.py | lakshyarawal/pythonPractice | 4b400342198a8270c5ac0c6306afb555f927c6c1 | [
"MIT"
] | null | null | null | Arrays/trapping_rain_water.py | lakshyarawal/pythonPractice | 4b400342198a8270c5ac0c6306afb555f927c6c1 | [
"MIT"
] | null | null | null | Arrays/trapping_rain_water.py | lakshyarawal/pythonPractice | 4b400342198a8270c5ac0c6306afb555f927c6c1 | [
"MIT"
] | null | null | null | """ Trapping rain water: Given an array of non negative integers, they are height of bars.
Find how much water can you collect between there bars """
"""Solution: """
# Using the special variable
# __name__
if __name__ == "__main__":
main()
| 21.857143 | 90 | 0.513539 |
7e3aaf1e8600f0c4dc3c6c5d88b0c978d139ca07 | 3,272 | py | Python | billing/models/pin_models.py | litchfield/merchant | e4fba8a88a326bbde39c26e937c17d5283817320 | [
"BSD-3-Clause"
] | null | null | null | billing/models/pin_models.py | litchfield/merchant | e4fba8a88a326bbde39c26e937c17d5283817320 | [
"BSD-3-Clause"
] | null | null | null | billing/models/pin_models.py | litchfield/merchant | e4fba8a88a326bbde39c26e937c17d5283817320 | [
"BSD-3-Clause"
] | null | null | null | from django.db import models
try:
from django.contrib.auth import get_user_model
except ImportError: # django < 1.5
from django.contrib.auth.models import User
else:
User = get_user_model()
| 39.421687 | 110 | 0.731357 |
7e3abcb443f673a56a0690f3906b8e71393e203a | 7,530 | py | Python | 4 - Late Fusion Networks/Perf_Hard_and_Soft_Voting_Prep.py | pcasabianca/Acoustic-UAV-Identification | 3ff08ff4163b42f244ba2ffa00a2c20bc3221382 | [
"MIT"
] | 1 | 2021-07-18T12:48:47.000Z | 2021-07-18T12:48:47.000Z | 4 - Late Fusion Networks/Perf_Hard_and_Soft_Voting_Prep.py | pcasabianca/Acoustic-UAV-Identification | 3ff08ff4163b42f244ba2ffa00a2c20bc3221382 | [
"MIT"
] | null | null | null | 4 - Late Fusion Networks/Perf_Hard_and_Soft_Voting_Prep.py | pcasabianca/Acoustic-UAV-Identification | 3ff08ff4163b42f244ba2ffa00a2c20bc3221382 | [
"MIT"
] | null | null | null | import os
import json
import librosa
import tensorflow as tf
import numpy as np
from termcolor import colored
# Read and save parameters.
DATASET_PATH = "Unseen Testing" # Path of testing dataset.
SAMPLE_RATE = 22050
DURATION = 1 # Measured in seconds (change depending on length of one audio file).
SAMPLE... | 35.518868 | 120 | 0.605578 |
7e3b10150f30d30b54781201a09f35f781054e7c | 2,963 | py | Python | contact_test.py | Njihia413/contact-list | bf555aa3657db1f90274dfe768b649007d725285 | [
"Unlicense"
] | null | null | null | contact_test.py | Njihia413/contact-list | bf555aa3657db1f90274dfe768b649007d725285 | [
"Unlicense"
] | null | null | null | contact_test.py | Njihia413/contact-list | bf555aa3657db1f90274dfe768b649007d725285 | [
"Unlicense"
] | null | null | null | import unittest #Importing the unittest module
from contact import Contact #Importing the contact class
#import pyperclip #Pyperclip will allow us to copy and paste items to our clipboard
if __name__ == '__main__':
unittest.main()
| 42.942029 | 89 | 0.710429 |
7e3d308df34767b7c5b7bbfbef6d03d373ce1d9f | 319 | py | Python | back_end/celery_tasks/main.py | 22014471/malonghui_Django | c9c2a68882450f9327e141333f30fdd73e530c28 | [
"MIT"
] | 1 | 2021-01-31T16:57:35.000Z | 2021-01-31T16:57:35.000Z | back_end/celery_tasks/main.py | 22014471/malonghui_Django | c9c2a68882450f9327e141333f30fdd73e530c28 | [
"MIT"
] | null | null | null | back_end/celery_tasks/main.py | 22014471/malonghui_Django | c9c2a68882450f9327e141333f30fdd73e530c28 | [
"MIT"
] | null | null | null | from celery import Celery
import os
# celerydjango
if not os.getenv('DJANGO_SETTINGS_MODULE'):
os.environ['DJANGO_SETTINGS_MODULE'] = 'mlh.settings.dev'
# meiduo,broker
celery_app = Celery('mlh',broker='redis://127.0.0.1:6379/15')
#
celery_app.autodiscover_tasks(['celery_tasks.sms',]) | 22.785714 | 61 | 0.758621 |
7e3f28a79344a9233183603246e2d32fc400d428 | 141 | py | Python | holobot/extensions/crypto/__init__.py | rexor12/holobot | 89b7b416403d13ccfeee117ef942426b08d3651d | [
"MIT"
] | 1 | 2021-05-24T00:17:46.000Z | 2021-05-24T00:17:46.000Z | holobot/extensions/crypto/__init__.py | rexor12/holobot | 89b7b416403d13ccfeee117ef942426b08d3651d | [
"MIT"
] | 41 | 2021-03-24T22:50:09.000Z | 2021-12-17T12:15:13.000Z | holobot/extensions/crypto/__init__.py | rexor12/holobot | 89b7b416403d13ccfeee117ef942426b08d3651d | [
"MIT"
] | null | null | null | from .alert_manager_interface import AlertManagerInterface
from .alert_manager import AlertManager
from .crypto_updater import CryptoUpdater
| 35.25 | 58 | 0.893617 |
7e3f3d1673e07847a0ccc4fa36154b7d2891f18d | 676 | py | Python | tests/unittest/parser/test_basic_parser.py | alessandrome/pywiktionary | b9378ca1e2dfe704eaa8a044bd82519b12f81226 | [
"MIT"
] | 4 | 2019-08-08T21:15:01.000Z | 2021-01-14T01:32:18.000Z | tests/unittest/parser/test_basic_parser.py | alessandrome/pywiktionary | b9378ca1e2dfe704eaa8a044bd82519b12f81226 | [
"MIT"
] | 1 | 2021-09-02T17:24:12.000Z | 2021-09-02T17:24:12.000Z | tests/unittest/parser/test_basic_parser.py | alessandrome/pywiktionary | b9378ca1e2dfe704eaa8a044bd82519b12f81226 | [
"MIT"
] | 1 | 2020-03-19T12:57:45.000Z | 2020-03-19T12:57:45.000Z | import unittest
from pywiktionary.parsers import basic_parser
if __name__ == '__main__':
unittest.main()
| 29.391304 | 99 | 0.739645 |
7e3f43b78bda7deaae5c966af639b6568ca237b5 | 1,347 | py | Python | snuggle/web/processing/events.py | halfak/snuggle | 384818aaf8a783013b076ada3c74226f10e5dc18 | [
"MIT"
] | 2 | 2021-04-26T20:34:25.000Z | 2021-11-12T11:26:57.000Z | snuggle/web/processing/events.py | halfak/snuggle | 384818aaf8a783013b076ada3c74226f10e5dc18 | [
"MIT"
] | null | null | null | snuggle/web/processing/events.py | halfak/snuggle | 384818aaf8a783013b076ada3c74226f10e5dc18 | [
"MIT"
] | null | null | null | import logging, traceback, time
from bottle import request
from snuggle import configuration
from snuggle import mediawiki
from snuggle import errors
from snuggle.data import types
from snuggle.web.util import responses, user_data
logger = logging.getLogger("snuggle.web.processing.users")
| 22.830508 | 83 | 0.690423 |
7e42bb796b8472a4cdf33d6dcb36d814d4383042 | 9,089 | py | Python | S2.Surface_Normal/regNormalNet/regNormalNet.py | leoshine/Spherical_Regression | d19bc2f6f52982d4d58f5ddabe4231381d7facd7 | [
"BSD-2-Clause-FreeBSD"
] | 133 | 2019-04-12T20:52:08.000Z | 2021-12-09T06:34:39.000Z | S2.Surface_Normal/regNormalNet/regNormalNet.py | QUVA-Lab/Spherical_Regression | 6a3b2a19d00f27f2417cb9f2fe21df5963def5b3 | [
"BSD-2-Clause-FreeBSD"
] | 11 | 2019-06-21T04:07:04.000Z | 2022-03-03T07:48:41.000Z | S2.Surface_Normal/regNormalNet/regNormalNet.py | QUVA-Lab/Spherical_Regression | 6a3b2a19d00f27f2417cb9f2fe21df5963def5b3 | [
"BSD-2-Clause-FreeBSD"
] | 16 | 2019-04-18T15:55:48.000Z | 2021-12-14T09:01:57.000Z | # coding: utf8
"""
@Author : Shuai Liao
"""
import os
import torch.nn as nn
import torch.utils.model_zoo as model_zoo
from torch.autograd import Variable
import torch
from basic.common import rdict
import numpy as np
from easydict import EasyDict as edict
from collections import OrderedDict as odict
from i... | 40.941441 | 154 | 0.577071 |
7e4370188b6c792aa03cbe5832ef7f5025340731 | 2,317 | py | Python | oscar_support/forms/widgets.py | snowball-one/django-oscar-support | 57d82200f0905e17df683652327e9102b7b34129 | [
"BSD-3-Clause"
] | 14 | 2015-01-10T05:06:33.000Z | 2021-02-08T03:37:32.000Z | oscar_support/forms/widgets.py | snowball-one/django-oscar-support | 57d82200f0905e17df683652327e9102b7b34129 | [
"BSD-3-Clause"
] | 2 | 2017-08-25T20:14:41.000Z | 2019-02-25T22:08:09.000Z | oscar_support/forms/widgets.py | snowball-one/django-oscar-support | 57d82200f0905e17df683652327e9102b7b34129 | [
"BSD-3-Clause"
] | 8 | 2015-07-29T21:39:06.000Z | 2018-12-06T04:14:56.000Z | from django.forms.util import flatatt
from django.template import loader, Context
from django.utils.encoding import force_unicode
from django.utils.html import conditional_escape
from django.template.loader import render_to_string
from django.forms.widgets import Widget, RadioInput, RadioFieldRenderer
AutoCompleteWid... | 33.1 | 76 | 0.617609 |
7e437dbe2c2eaddadfb12c0e71bcb7d0e968c5b2 | 136 | py | Python | projectname/tests/__init__.py | Casokaks/light-python-template | 1298b0283c6a7b3f2cfffabd278848f4fb8e21fa | [
"MIT"
] | null | null | null | projectname/tests/__init__.py | Casokaks/light-python-template | 1298b0283c6a7b3f2cfffabd278848f4fb8e21fa | [
"MIT"
] | null | null | null | projectname/tests/__init__.py | Casokaks/light-python-template | 1298b0283c6a7b3f2cfffabd278848f4fb8e21fa | [
"MIT"
] | null | null | null | """
Test init module
==================================
Author: Casokaks (https://github.com/Casokaks/)
Created on: Aug 15th 2021
"""
| 15.111111 | 47 | 0.514706 |
7e441d62eef151acf29604bef9891de9f98dfcc8 | 26,980 | py | Python | presenterserver/facial_recognition/src/facial_recognition_server.py | niuiic/face_recognition | 03d4aabb0ee72b3dee3d8798d344262460e71208 | [
"Apache-2.0"
] | 1 | 2021-12-16T02:03:40.000Z | 2021-12-16T02:03:40.000Z | presenterserver/facial_recognition/src/facial_recognition_server.py | niuiic/face_recognition | 03d4aabb0ee72b3dee3d8798d344262460e71208 | [
"Apache-2.0"
] | null | null | null | presenterserver/facial_recognition/src/facial_recognition_server.py | niuiic/face_recognition | 03d4aabb0ee72b3dee3d8798d344262460e71208 | [
"Apache-2.0"
] | null | null | null | # =======================================================================
#
# Copyright (C) 2018, Hisilicon Technologies Co., Ltd. All Rights Reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1 Redistrib... | 36.80764 | 97 | 0.607932 |
7e44cb761dc01281c2078c72315a08116eff6a63 | 3,650 | py | Python | e_vae_proj/qualitative/gen_jobs.py | kuangdai/disentangling-vae | 9a5f9da44a82a2c643b7289c4945320621b86247 | [
"MIT"
] | 1 | 2021-06-30T08:58:49.000Z | 2021-06-30T08:58:49.000Z | e_vae_proj/qualitative/gen_jobs.py | kuangdai/disentangling-vae | 9a5f9da44a82a2c643b7289c4945320621b86247 | [
"MIT"
] | null | null | null | e_vae_proj/qualitative/gen_jobs.py | kuangdai/disentangling-vae | 9a5f9da44a82a2c643b7289c4945320621b86247 | [
"MIT"
] | null | null | null | import numpy as np
from pathlib import Path
import sys, os
if __name__ == "__main__":
"""
Jobs:
1) VAE (VAE loss) for data=[dsprites, celeba, chairs]
2) VAE (beta-TC loss with alpha=beta=gamma=1) for data=[dsprites, celeba, chairs]
3) beta-TCVAE for alpha=gamma=[0.5, 1, 2], for beta=[3,6],... | 42.44186 | 133 | 0.549041 |
7e46b7c1bdfe713325687e0706d7633667a0c0ae | 5,818 | py | Python | iktomi/forms/widgets.py | boltnev/iktomi | bc92006c026f9b42e56f1af5ced2fe577673a486 | [
"MIT"
] | 14 | 2015-02-15T05:24:22.000Z | 2020-03-19T10:07:28.000Z | iktomi/forms/widgets.py | boltnev/iktomi | bc92006c026f9b42e56f1af5ced2fe577673a486 | [
"MIT"
] | 10 | 2015-04-04T10:10:41.000Z | 2016-06-01T13:17:58.000Z | iktomi/forms/widgets.py | boltnev/iktomi | bc92006c026f9b42e56f1af5ced2fe577673a486 | [
"MIT"
] | 5 | 2015-02-20T11:18:58.000Z | 2016-10-18T15:30:13.000Z | # -*- coding: utf-8 -*-
from ..utils import weakproxy
from . import convs
def render(self):
'''
Renders widget to template
'''
data = self.prepare_data()
if self.field.readable:
return self.env.template.render(self.template, **data)
return ''
def _... | 26.688073 | 86 | 0.611894 |
7e4795cb214be38d91b14447a6cab578ba864108 | 1,198 | py | Python | Codes/python/py1/exs (4)/ex10.py | Gaazedo/portfolio | 4b09b6fffc6947375a20fee1c5523a12cbcbe970 | [
"MIT"
] | null | null | null | Codes/python/py1/exs (4)/ex10.py | Gaazedo/portfolio | 4b09b6fffc6947375a20fee1c5523a12cbcbe970 | [
"MIT"
] | null | null | null | Codes/python/py1/exs (4)/ex10.py | Gaazedo/portfolio | 4b09b6fffc6947375a20fee1c5523a12cbcbe970 | [
"MIT"
] | null | null | null | from ex3 import cont, intersec
from ex4 import iguais
from ex5 import iguais1
from ex6 import conta, lervetor
from ex7 import achar, ler_vetorx
from utility import ler_vetor
menuprinc()
| 21.017544 | 90 | 0.590985 |
7e47a45aa4626c8612e5e79d872162e8912b39d8 | 293 | py | Python | warehouse.py | Arthraim/warehouse | 3905635217f679eb9c3ace00b016668588f6bb98 | [
"MIT"
] | 1 | 2015-01-14T08:06:07.000Z | 2015-01-14T08:06:07.000Z | warehouse.py | Arthraim/warehouse | 3905635217f679eb9c3ace00b016668588f6bb98 | [
"MIT"
] | null | null | null | warehouse.py | Arthraim/warehouse | 3905635217f679eb9c3ace00b016668588f6bb98 | [
"MIT"
] | null | null | null | __author__ = 'arthur'
from PyQt5.QtCore import *
from models import * | 22.538462 | 73 | 0.682594 |
7e48637038313d81e9c4efaa9dd4ea2b3a9e9145 | 391 | py | Python | yadil/image/face_model.py | neolaw84/yadil | 9f56a1beec5359e0233ae342f01263b29f752bc7 | [
"Apache-2.0"
] | null | null | null | yadil/image/face_model.py | neolaw84/yadil | 9f56a1beec5359e0233ae342f01263b29f752bc7 | [
"Apache-2.0"
] | null | null | null | yadil/image/face_model.py | neolaw84/yadil | 9f56a1beec5359e0233ae342f01263b29f752bc7 | [
"Apache-2.0"
] | null | null | null | # downloaded from https://raw.githubusercontent.com/TadasBaltrusaitis/OpenFace/master/lib/local/LandmarkDetector/model/pdms/In-the-wild_aligned_PDM_68.txt
import pickle
import pathlib
THIS_FILE_PATH = pathlib.Path(__file__)
MODEL_FILE_PATH = pathlib.Path.joinpath(THIS_FILE_PATH.parent, "face_model.bin")
with... | 35.545455 | 155 | 0.790281 |
7e4a01f31bce92467bfbd67774fb60815a83be86 | 567 | py | Python | Backend/scripts/average_block_rate.py | zarif007/Block-Chain-Web-App | 40bd4d8d8ce1f6de2840792290bf022d7dfacbb4 | [
"MIT"
] | 1 | 2020-12-30T09:30:23.000Z | 2020-12-30T09:30:23.000Z | Backend/scripts/average_block_rate.py | zarif007/Block-Chain-Web-App | 40bd4d8d8ce1f6de2840792290bf022d7dfacbb4 | [
"MIT"
] | null | null | null | Backend/scripts/average_block_rate.py | zarif007/Block-Chain-Web-App | 40bd4d8d8ce1f6de2840792290bf022d7dfacbb4 | [
"MIT"
] | null | null | null | import time
from backend.blockchain.Blockchain import Blockchain
from backend.config import SECONDS
blockchain = Blockchain()
times = []
for i in range(1000):
start_time = time.time_ns()
blockchain.add_block(i)
end_time = time.time_ns()
time_to_mine = (end_time - start_time) / SECONDS
times.app... | 24.652174 | 70 | 0.708995 |
7e4b1888606ceb34b0d7457d5881f8e99340c1b5 | 12,193 | py | Python | python/tdapi/td_oauth.py | chaelim/ExcelRTD | 2a8e5860d1f3f091261f08d49bc1f426038a9aa7 | [
"MIT"
] | 5 | 2020-07-18T20:39:06.000Z | 2021-12-29T13:15:18.000Z | python/tdapi/td_oauth.py | chaelim/ExcelRTD | 2a8e5860d1f3f091261f08d49bc1f426038a9aa7 | [
"MIT"
] | 2 | 2020-08-01T07:31:41.000Z | 2020-08-05T01:38:29.000Z | python/tdapi/td_oauth.py | chaelim/ExcelRTD | 2a8e5860d1f3f091261f08d49bc1f426038a9aa7 | [
"MIT"
] | 3 | 2020-09-08T17:28:31.000Z | 2021-09-29T20:42:13.000Z | from requests_oauthlib import OAuth2Session
from flask import Flask, request, redirect, session, url_for
from flask.json import jsonify
import logging
import datetime
import json
import os
import pickle
import requests
import time
import win32crypt
from typing import Dict
from typing import List
if __package__:
f... | 32.342175 | 132 | 0.686623 |
7e4b3dfe702da16b414ccbfbae1fff18ac2129ef | 5,083 | py | Python | visitpy/visit_utils/tests/test_qannote_basic.py | ahota/visit_ospray | d80b2e18ff5654d04bfb56ae4d6f42e45f87c9b9 | [
"BSD-3-Clause"
] | null | null | null | visitpy/visit_utils/tests/test_qannote_basic.py | ahota/visit_ospray | d80b2e18ff5654d04bfb56ae4d6f42e45f87c9b9 | [
"BSD-3-Clause"
] | null | null | null | visitpy/visit_utils/tests/test_qannote_basic.py | ahota/visit_ospray | d80b2e18ff5654d04bfb56ae4d6f42e45f87c9b9 | [
"BSD-3-Clause"
] | null | null | null | #*****************************************************************************
#
# Copyright (c) 2000 - 2014, Lawrence Livermore National Security, LLC
# Produced at the Lawrence Livermore National Laboratory
# LLNL-CODE-442911
# All rights reserved.
#
# This file is part of VisIt. For details, see https://visit.llnl... | 40.664 | 122 | 0.587842 |
7e4b68c4767ac112003a850f22261b677c1669da | 6,961 | py | Python | searchengine.py | ayser259/searchengine | c8cd07eb90dae876fc738e7ebc3609daa0ee9ef7 | [
"MIT"
] | null | null | null | searchengine.py | ayser259/searchengine | c8cd07eb90dae876fc738e7ebc3609daa0ee9ef7 | [
"MIT"
] | null | null | null | searchengine.py | ayser259/searchengine | c8cd07eb90dae876fc738e7ebc3609daa0ee9ef7 | [
"MIT"
] | null | null | null | # This program runs the search engine program
import ast,sys,os,json, time, re,math
from objects import *
import lexicon_engine as lexicon_engine
from snippet_engine import *
print("Loading Search Engine...")
try:
c = time.time()
directory = "/Users/ayser/Dropbox/Waterloo/3A/Courses/Course_Projects/msci_541/l... | 41.933735 | 203 | 0.679931 |
7e4d650deef322e53bf8afec40c9a2d1620153ca | 4,049 | py | Python | dedup_parellel.py | darrenkoh/File-Dedupe | 014eb42dd36426da641aa62376425a12ddd6e2fc | [
"MIT"
] | null | null | null | dedup_parellel.py | darrenkoh/File-Dedupe | 014eb42dd36426da641aa62376425a12ddd6e2fc | [
"MIT"
] | null | null | null | dedup_parellel.py | darrenkoh/File-Dedupe | 014eb42dd36426da641aa62376425a12ddd6e2fc | [
"MIT"
] | null | null | null | # Given a folder, scan all files and group file with same content
import sys
import os
import shutil
import hashlib
import time
from collections import defaultdict
import multiprocessing
from functools import partial
import time
if __name__ == '__main__':
dics = defaultdict(list)
multiprocessing.managers.Dic... | 37.490741 | 146 | 0.566313 |
7e4d7f3b009cccdbe2d7489cc9b3f8c5c3da1723 | 10,226 | py | Python | snorkel/learning/structure/synthetic.py | Conengmo/snorkel | 36868e8a84de19b94e1c4b8eceaa64969a61a46b | [
"Apache-2.0"
] | 30 | 2019-08-22T19:27:59.000Z | 2022-03-13T22:03:15.000Z | snorkel/learning/structure/synthetic.py | Conengmo/snorkel | 36868e8a84de19b94e1c4b8eceaa64969a61a46b | [
"Apache-2.0"
] | 2 | 2019-08-22T16:51:58.000Z | 2022-03-21T02:59:18.000Z | snorkel/learning/structure/synthetic.py | Conengmo/snorkel | 36868e8a84de19b94e1c4b8eceaa64969a61a46b | [
"Apache-2.0"
] | 31 | 2019-08-22T19:28:08.000Z | 2022-03-23T12:50:49.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from builtins import *
from numbskull import NumbSkull
from numbskull.inference import FACTORS
from numbskull.numbskulltypes import Weight, Variable, Factor, FactorToVar
... | 36.784173 | 153 | 0.544886 |
7e4e90eca537aa89aa63261527c4a76d2ff939ec | 93 | py | Python | onaws/__init__.py | bbhunter/onaws | ac5a5b7db3765258bb57cb6808f3ed04941434d2 | [
"MIT"
] | 1 | 2021-07-07T22:07:11.000Z | 2021-07-07T22:07:11.000Z | onaws/__init__.py | bbhunter/onaws | ac5a5b7db3765258bb57cb6808f3ed04941434d2 | [
"MIT"
] | null | null | null | onaws/__init__.py | bbhunter/onaws | ac5a5b7db3765258bb57cb6808f3ed04941434d2 | [
"MIT"
] | null | null | null | '''Simple library to check if a hostname belongs to AWS IP space.'''
__version__ = '0.0.12'
| 23.25 | 68 | 0.698925 |
7e501995f92826d6c8f5de74e9e473e96ac09f37 | 1,352 | py | Python | tests/interactive/nb-test.py | andrey-puzyr/docker-dotnet-spark | f520af3feb25f7721d8547ff1f73a074b3043944 | [
"Apache-2.0"
] | 18 | 2020-05-26T22:54:59.000Z | 2022-02-25T18:34:54.000Z | tests/interactive/nb-test.py | andrey-puzyr/docker-dotnet-spark | f520af3feb25f7721d8547ff1f73a074b3043944 | [
"Apache-2.0"
] | 5 | 2020-05-27T15:00:10.000Z | 2021-05-28T19:47:35.000Z | tests/interactive/nb-test.py | indy-3rdman/docker-dotnet-spark | ccc5d8ed57e27895d972ee179a6f0e83a57e48f3 | [
"Apache-2.0"
] | 6 | 2020-05-26T22:40:07.000Z | 2022-03-15T10:09:16.000Z | import sys
import argparse
import re
import subprocess
import nbformat
from pathlib import Path
from nbconvert.preprocessors import ExecutePreprocessor
from nbconvert.preprocessors import CellExecutionError
parser = argparse.ArgumentParser()
parser.add_argument("path", help="the path to the notebook (.ipynb) file")
ar... | 32.97561 | 111 | 0.739645 |
7e509dea3ed6c92f5ab9b5e7fe011afa000287ec | 10,261 | py | Python | scripts/ersst_everything.py | khandokershanto/climate_data_analysis_with_python | 214b96c42732704880b8714be1c6ab60348c1adf | [
"MIT"
] | null | null | null | scripts/ersst_everything.py | khandokershanto/climate_data_analysis_with_python | 214b96c42732704880b8714be1c6ab60348c1adf | [
"MIT"
] | null | null | null | scripts/ersst_everything.py | khandokershanto/climate_data_analysis_with_python | 214b96c42732704880b8714be1c6ab60348c1adf | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
import xarray as xr
import matplotlib.pyplot as plt
import geocat.viz.util as gvutil
path = r'H:\Python project 2021\climate_data_analysis_with_python\data\sst.mnmean.nc'
ds= xr.open_dataset(path)
# time slicing
sst = ds.sst.sel(time=slice('1920-01-01','2020-12-01'))
# anomaly wi... | 38.720755 | 101 | 0.577527 |
7e521ccb06bf6f928662759cda6d62177d24e646 | 9,335 | py | Python | scripts/Model Training.py | Nickroll/League-Feature-Importance | 884634aafc480b0a07b31a0fbfc56d7b6aabcdff | [
"MIT"
] | null | null | null | scripts/Model Training.py | Nickroll/League-Feature-Importance | 884634aafc480b0a07b31a0fbfc56d7b6aabcdff | [
"MIT"
] | null | null | null | scripts/Model Training.py | Nickroll/League-Feature-Importance | 884634aafc480b0a07b31a0fbfc56d7b6aabcdff | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
from sklearn.ensemble import RandomForestClassifier, AdaBoostClassifier
from sklearn.ensemble import BaggingClassifier, ExtraTreesClassifier
from sklearn.ensemble import GradientBoostingClassifier, VotingClassifier
from sklearn.tree import DecisionTreeClassifier
from sklearn.grid_... | 39.555085 | 83 | 0.653455 |
7e5256469f13e0289fc5b810bd0173539ecf3b59 | 9,650 | py | Python | src/SimulationControl/SpheralConservation.py | jmikeowen/Spheral | 3e1082a7aefd6b328bd3ae24ca1a477108cfc3c4 | [
"BSD-Source-Code",
"BSD-3-Clause-LBNL",
"FSFAP"
] | 22 | 2018-07-31T21:38:22.000Z | 2020-06-29T08:58:33.000Z | src/SimulationControl/SpheralConservation.py | markguozhiming/spheral | bbb982102e61edb8a1d00cf780bfa571835e1b61 | [
"BSD-Source-Code",
"BSD-3-Clause-LBNL",
"FSFAP"
] | 41 | 2020-09-28T23:14:27.000Z | 2022-03-28T17:01:33.000Z | src/SimulationControl/SpheralConservation.py | markguozhiming/spheral | bbb982102e61edb8a1d00cf780bfa571835e1b61 | [
"BSD-Source-Code",
"BSD-3-Clause-LBNL",
"FSFAP"
] | 7 | 2019-12-01T07:00:06.000Z | 2020-09-15T21:12:39.000Z | # SpheralConservation
import mpi
from SpheralCompiledPackages import *
#-------------------------------------------------------------------------------
# Conservation
#-------------------------------------------------------------------------------
| 44.266055 | 102 | 0.450466 |
7e543a1539edd2bc645863389913b22de09fceee | 722 | py | Python | ro_py/economy.py | jmkd3v/ro.py | 7c50267ccc1eed333e73c5cfb0740aec00a62989 | [
"MIT"
] | null | null | null | ro_py/economy.py | jmkd3v/ro.py | 7c50267ccc1eed333e73c5cfb0740aec00a62989 | [
"MIT"
] | null | null | null | ro_py/economy.py | jmkd3v/ro.py | 7c50267ccc1eed333e73c5cfb0740aec00a62989 | [
"MIT"
] | null | null | null | """
This file houses functions and classes that pertain to the Roblox economy endpoints.
"""
from ro_py.utilities.url import url
endpoint = url("economy")
| 24.896552 | 84 | 0.686981 |
7e550a8084b1674ea1aeeea565a6759f3741fb88 | 1,557 | py | Python | ask/qa/forms.py | kzn-bulat-s/abracadabra | 25d582a3d6fc6587772776479ef2f1d284fbe0e9 | [
"Unlicense"
] | null | null | null | ask/qa/forms.py | kzn-bulat-s/abracadabra | 25d582a3d6fc6587772776479ef2f1d284fbe0e9 | [
"Unlicense"
] | null | null | null | ask/qa/forms.py | kzn-bulat-s/abracadabra | 25d582a3d6fc6587772776479ef2f1d284fbe0e9 | [
"Unlicense"
] | null | null | null | from django import forms
from django.contrib.auth.models import User
from models import Question, Answer | 27.803571 | 67 | 0.594091 |
7e555fdeeb4c2079106c242cdd66f9f9ada341c5 | 7,720 | py | Python | tests/pow_tests.py | pythononwheels/coronadash | 876258d00f5b8bcccd4746713a15b3de54534fcf | [
"MIT"
] | null | null | null | tests/pow_tests.py | pythononwheels/coronadash | 876258d00f5b8bcccd4746713a15b3de54534fcf | [
"MIT"
] | null | null | null | tests/pow_tests.py | pythononwheels/coronadash | 876258d00f5b8bcccd4746713a15b3de54534fcf | [
"MIT"
] | null | null | null | #
# Pow Default Tests
#
#
# runtest script.
# runs test with respect to some paramters
# currently only os
import sys
import pytest
# possible sys.platform results:
# http://stackoverflow.com/questions/446209/possible-values-from-sys-platform
MODELNAME = "pow_test_model"
if __name__ == "__main__":
print(... | 34.159292 | 133 | 0.613731 |
7e557776390bf717690c0ffe3d5af9bb9e5270df | 282 | py | Python | codility/python/fib.py | guvkon/aoc-2021 | 15c8d387f5bf218790d461d32dd948d6c667be6c | [
"MIT"
] | null | null | null | codility/python/fib.py | guvkon/aoc-2021 | 15c8d387f5bf218790d461d32dd948d6c667be6c | [
"MIT"
] | null | null | null | codility/python/fib.py | guvkon/aoc-2021 | 15c8d387f5bf218790d461d32dd948d6c667be6c | [
"MIT"
] | null | null | null | import math
| 21.692308 | 106 | 0.485816 |
7e55c6c8ebd4a1c5ef44590495d1ea5a8940d7d2 | 1,886 | py | Python | src/pengbot/adapters/facebook/adapter.py | mariocesar/pengbot | 070854f92ac1314ee56f7f6cb9d27430b8f0fda8 | [
"MIT"
] | 1 | 2020-09-21T13:52:04.000Z | 2020-09-21T13:52:04.000Z | src/pengbot/adapters/facebook/adapter.py | mariocesar/pengbot | 070854f92ac1314ee56f7f6cb9d27430b8f0fda8 | [
"MIT"
] | null | null | null | src/pengbot/adapters/facebook/adapter.py | mariocesar/pengbot | 070854f92ac1314ee56f7f6cb9d27430b8f0fda8 | [
"MIT"
] | null | null | null | import json
from pengbot.utils import isbound
from .api import Facebook
from ..web import WebAdapter
| 31.966102 | 89 | 0.577943 |
7e568b8ddcdfbfe7732b973a52875cd69daa8414 | 4,517 | py | Python | tests/test_policy_loading.py | alancinacio/advanced-security-compliance | 5b8c6951db2c895033d816274abc389f1413cddd | [
"MIT"
] | 83 | 2021-06-01T10:11:15.000Z | 2022-03-15T00:38:42.000Z | tests/test_policy_loading.py | alancinacio/advanced-security-compliance | 5b8c6951db2c895033d816274abc389f1413cddd | [
"MIT"
] | 30 | 2021-06-07T10:18:22.000Z | 2022-03-15T10:51:19.000Z | tests/test_policy_loading.py | alancinacio/advanced-security-compliance | 5b8c6951db2c895033d816274abc389f1413cddd | [
"MIT"
] | 15 | 2021-06-09T17:22:33.000Z | 2022-02-21T00:41:04.000Z | import os
import sys
import yaml
import uuid
import unittest
import tempfile
sys.path.append(".")
from ghascompliance.policy import Policy
| 30.938356 | 88 | 0.587337 |
7e56afeffeb1143dfa4e1a4ffb0c6566c1c6fcad | 1,762 | py | Python | python/se3last-w3c/conftest.py | saucelabs-training/platform-config-tests | 11dfab8f9be2fe118ed0b0fa4adebb75a5f1a64c | [
"MIT"
] | 1 | 2021-11-17T22:29:42.000Z | 2021-11-17T22:29:42.000Z | python/se3last-w3c/conftest.py | saucelabs-training/platform-config-tests | 11dfab8f9be2fe118ed0b0fa4adebb75a5f1a64c | [
"MIT"
] | null | null | null | python/se3last-w3c/conftest.py | saucelabs-training/platform-config-tests | 11dfab8f9be2fe118ed0b0fa4adebb75a5f1a64c | [
"MIT"
] | 1 | 2021-11-17T22:29:35.000Z | 2021-11-17T22:29:35.000Z | import os
import sys
import time
import pytest
from appium import webdriver as appiumdriver
from selenium import webdriver
| 33.245283 | 106 | 0.682179 |
7e5889544c1792c28e15ce9c96d0ef027587112c | 1,242 | py | Python | PharmacoDI/write_pset_table.py | bhklab/PharmacoDI | a681b2549765190fd646971de9d99a4233cd1cac | [
"MIT"
] | null | null | null | PharmacoDI/write_pset_table.py | bhklab/PharmacoDI | a681b2549765190fd646971de9d99a4233cd1cac | [
"MIT"
] | 7 | 2021-08-05T15:37:11.000Z | 2021-10-15T15:51:44.000Z | PharmacoDI/write_pset_table.py | bhklab/PharmacoDI | a681b2549765190fd646971de9d99a4233cd1cac | [
"MIT"
] | null | null | null | import os
from datatable import dt, as_type
# -- Enable logging
from loguru import logger
import sys
logger_config = {
"handlers": [
{"sink": sys.stdout, "colorize": True, "format":
"<green>{time}</green> <level>{message}</level>"},
{"sink": f"logs/write_pset_tables.log",
"... | 31.05 | 83 | 0.651369 |
7e595646df56fa1ccc0f7430fce5f92524bd68a3 | 1,092 | py | Python | timemachines/skaters/orbt/orbitlgtskaterfactory.py | iklasky/timemachines | 1820fa9453d31d4daaeff75274a935c7455febe3 | [
"MIT"
] | 253 | 2021-01-08T17:33:30.000Z | 2022-03-21T17:32:36.000Z | timemachines/skaters/orbt/orbitlgtskaterfactory.py | iklasky/timemachines | 1820fa9453d31d4daaeff75274a935c7455febe3 | [
"MIT"
] | 65 | 2021-01-20T16:43:35.000Z | 2022-03-30T19:07:22.000Z | timemachines/skaters/orbt/orbitlgtskaterfactory.py | iklasky/timemachines | 1820fa9453d31d4daaeff75274a935c7455febe3 | [
"MIT"
] | 28 | 2021-02-04T14:58:30.000Z | 2022-01-17T04:35:17.000Z |
from timemachines.skaters.orbt.orbitinclusion import using_orbit
if using_orbit:
from timemachines.skaters.orbt.orbitwrappers import orbit_lgt_iskater
from timemachines.skatertools.utilities.conventions import Y_TYPE, A_TYPE, R_TYPE, E_TYPE, T_TYPE
from timemachines.skatertools.batch.batchskater import ba... | 45.5 | 126 | 0.638278 |
7e597dddf299d58b91fda18f58fa608899357fa1 | 530 | py | Python | script/en_glue/preprocess/qnli.py | kunde122/ERNIE1 | 050327e968b2d7d9090ab882a5dd6b0fdeca80b4 | [
"Apache-2.0"
] | 1 | 2020-10-19T09:41:11.000Z | 2020-10-19T09:41:11.000Z | script/en_glue/preprocess/qnli.py | kunde122/ERNIE1 | 050327e968b2d7d9090ab882a5dd6b0fdeca80b4 | [
"Apache-2.0"
] | 1 | 2019-08-24T02:36:37.000Z | 2019-08-24T02:36:37.000Z | script/en_glue/preprocess/qnli.py | kunde122/ERNIE1 | 050327e968b2d7d9090ab882a5dd6b0fdeca80b4 | [
"Apache-2.0"
] | 1 | 2019-10-19T05:29:08.000Z | 2019-10-19T05:29:08.000Z | import sys
mapping = {'entailment': 1, 'not_entailment': 0}
i = 0
for line in sys.stdin:
arr = line.strip().split('\t')
s1 = arr[1]
s2 = arr[2]
if len(arr) == 4:
if i == 0:
i += 1
print('text_a\ttext_b\tlabel')
continue
s3 = arr[3]
print("{}\... | 23.043478 | 55 | 0.450943 |
7e5a4b7a911240a4176bf8ae58a08ef0931285dc | 62 | py | Python | gsee/__init__.py | scene-connect/gsee | f5515fb2a20af9278e7ca11312388717760a8225 | [
"BSD-3-Clause"
] | null | null | null | gsee/__init__.py | scene-connect/gsee | f5515fb2a20af9278e7ca11312388717760a8225 | [
"BSD-3-Clause"
] | 5 | 2022-03-11T10:52:24.000Z | 2022-03-11T14:09:09.000Z | gsee/__init__.py | scene-connect/gsee | f5515fb2a20af9278e7ca11312388717760a8225 | [
"BSD-3-Clause"
] | null | null | null | __all__ = ["brl_model", "pv"]
from gsee import brl_model, pv
| 15.5 | 30 | 0.693548 |
7e5c4ac6eeaa4f1f47b3333663069355e76954d0 | 1,366 | py | Python | src/data_standardization/tests/test_boston_volume.py | nsteins/crash-model | 521a63e48a561298e694432d74caa3c385f913b6 | [
"MIT"
] | 54 | 2018-06-21T18:48:34.000Z | 2020-04-15T23:07:20.000Z | src/data_standardization/tests/test_boston_volume.py | nsteins/crash-model | 521a63e48a561298e694432d74caa3c385f913b6 | [
"MIT"
] | 172 | 2018-06-14T17:33:41.000Z | 2020-06-15T16:45:15.000Z | src/data_standardization/tests/test_boston_volume.py | nsteins/crash-model | 521a63e48a561298e694432d74caa3c385f913b6 | [
"MIT"
] | 25 | 2017-02-13T21:45:07.000Z | 2018-06-13T19:41:38.000Z | from ..boston_volume import BostonVolumeParser
import os
| 26.784314 | 79 | 0.649341 |
7e5d011b9be09b3a31687a7c84c1f20f5a3b8ceb | 3,626 | py | Python | custom_components/luxtronik/binary_sensor.py | WhistleMaster/luxtronik | b479257100def0bb6b668b5ae3e63ccd8ed60995 | [
"MIT"
] | 37 | 2018-11-01T20:30:55.000Z | 2022-03-25T20:57:29.000Z | custom_components/luxtronik/binary_sensor.py | WhistleMaster/luxtronik | b479257100def0bb6b668b5ae3e63ccd8ed60995 | [
"MIT"
] | 41 | 2019-04-08T07:32:35.000Z | 2022-03-28T18:32:55.000Z | custom_components/luxtronik/binary_sensor.py | WhistleMaster/luxtronik | b479257100def0bb6b668b5ae3e63ccd8ed60995 | [
"MIT"
] | 17 | 2019-04-03T09:02:13.000Z | 2022-03-04T19:51:10.000Z | """Support for Luxtronik heatpump binary states."""
import logging
import voluptuous as vol
from homeassistant.components.binary_sensor import PLATFORM_SCHEMA, BinarySensorEntity
from homeassistant.const import CONF_FRIENDLY_NAME, CONF_ICON, CONF_ID, CONF_SENSORS
import homeassistant.helpers.config_validation as cv
f... | 29.241935 | 88 | 0.606178 |
7e5e2458db8b5363508f982ca60fdfa04db827b4 | 1,298 | py | Python | Algorithms_easy/1065. Index Pairs of a String.py | VinceW0/Leetcode_Python_solutions | 09e9720afce21632372431606ebec4129eb79734 | [
"Xnet",
"X11"
] | 4 | 2020-08-11T20:45:15.000Z | 2021-03-12T00:33:34.000Z | Algorithms_easy/1065. Index Pairs of a String.py | VinceW0/Leetcode_Python_solutions | 09e9720afce21632372431606ebec4129eb79734 | [
"Xnet",
"X11"
] | null | null | null | Algorithms_easy/1065. Index Pairs of a String.py | VinceW0/Leetcode_Python_solutions | 09e9720afce21632372431606ebec4129eb79734 | [
"Xnet",
"X11"
] | null | null | null | """
1065. Index Pairs of a String
Easy
Given a text string and words (a list of strings), return all index pairs [i, j] so that the substring text[i]...text[j] is in the list of words.
Example 1:
Input: text = "thestoryofleetcodeandme", words = ["story","fleet","leetcode"]
Output: [[3,7],[9,13],[10,17]]
Example 2:
... | 30.904762 | 145 | 0.575501 |
7e602fe1c74aa3fb84a2c81524ea7c737c67eb63 | 233 | py | Python | setup.py | jsdnlb/Tangelo-challenge | 4cd83f5dcd5b870f2dba6a7f08d35fe1f60709ce | [
"MIT"
] | null | null | null | setup.py | jsdnlb/Tangelo-challenge | 4cd83f5dcd5b870f2dba6a7f08d35fe1f60709ce | [
"MIT"
] | 3 | 2022-02-11T00:32:38.000Z | 2022-02-11T14:29:33.000Z | setup.py | jsdnlb/tangelo-challenge | 4cd83f5dcd5b870f2dba6a7f08d35fe1f60709ce | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
# Building and Distributing Packages with Setuptools
# Documentation here: https://setuptools.pypa.io/en/latest/setuptools.html
setup(name='app', version='1.0', packages=find_packages())
| 33.285714 | 74 | 0.793991 |
7e61331f1d48012031893d41bd0fba4b33926051 | 804 | py | Python | sponsors/migrations/0038_auto_20210827_1223.py | Manny27nyc/pythondotorg | 257c96d3a94755451a5a5cdcd2abad1e27ea299b | [
"Apache-2.0"
] | 911 | 2015-01-03T22:16:06.000Z | 2022-03-31T23:56:22.000Z | sponsors/migrations/0038_auto_20210827_1223.py | Manny27nyc/pythondotorg | 257c96d3a94755451a5a5cdcd2abad1e27ea299b | [
"Apache-2.0"
] | 1,342 | 2015-01-02T16:14:45.000Z | 2022-03-28T08:01:20.000Z | sponsors/migrations/0038_auto_20210827_1223.py | Manny27nyc/pythondotorg | 257c96d3a94755451a5a5cdcd2abad1e27ea299b | [
"Apache-2.0"
] | 551 | 2015-01-04T02:17:31.000Z | 2022-03-23T11:59:25.000Z | # Generated by Django 2.0.13 on 2021-08-27 12:23
from django.db import migrations
| 28.714286 | 88 | 0.70398 |
7e63755a2eb8725059fe0af8726fe1baae17c773 | 6,020 | py | Python | fugue_sql/workflow.py | LaurentErreca/fugue | 73d551b4d25b50b3d9051dd765e6111db2e3fc76 | [
"Apache-2.0"
] | null | null | null | fugue_sql/workflow.py | LaurentErreca/fugue | 73d551b4d25b50b3d9051dd765e6111db2e3fc76 | [
"Apache-2.0"
] | null | null | null | fugue_sql/workflow.py | LaurentErreca/fugue | 73d551b4d25b50b3d9051dd765e6111db2e3fc76 | [
"Apache-2.0"
] | null | null | null | from builtins import isinstance
from typing import Any, Dict, Tuple
from fugue import (
DataFrame,
FugueWorkflow,
WorkflowDataFrame,
WorkflowDataFrames,
Yielded,
)
from fugue.constants import FUGUE_CONF_SQL_IGNORE_CASE
from fugue.workflow import is_acceptable_raw_df
from fugue_sql._parse import Fug... | 31.851852 | 88 | 0.595349 |
7e6449d6fe77effb19a71805ede2cc6094e439b0 | 347 | py | Python | project/WeiboTest/SpiderMain.py | zhengbomo/python_practice | 1bc5c4ff426f806639bbc01249e66747271ec398 | [
"MIT"
] | 2 | 2016-10-03T10:20:02.000Z | 2018-03-20T00:38:53.000Z | project/WeiboTest/SpiderMain.py | zhengbomo/python_practice | 1bc5c4ff426f806639bbc01249e66747271ec398 | [
"MIT"
] | 2 | 2019-10-08T07:13:44.000Z | 2019-10-08T07:13:46.000Z | project/WeiboTest/SpiderMain.py | zhengbomo/python_practice | 1bc5c4ff426f806639bbc01249e66747271ec398 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding:utf-8 -*-
from Spider import Spider
#
spider = Spider()
fans = spider.get_my_fans()
for fan in fans:
spider.user_crawl(fan.user_id)
spider.status_crawl(fan.user_id)
followers = spider.get_my_follower()
for follower in followers:
spider.user_crawl(fan.user_id)
spider.s... | 19.277778 | 36 | 0.723343 |
7e66f22b59e0aa979c2af71f6719b6b98bfbe64a | 842 | py | Python | setup.py | konstanzer/insilico | a3b1f8352e0f2eeeb41ee94dc106e4fb02c8abf3 | [
"MIT"
] | 1 | 2021-11-22T16:25:17.000Z | 2021-11-22T16:25:17.000Z | setup.py | konstanzer/insilico | a3b1f8352e0f2eeeb41ee94dc106e4fb02c8abf3 | [
"MIT"
] | null | null | null | setup.py | konstanzer/insilico | a3b1f8352e0f2eeeb41ee94dc106e4fb02c8abf3 | [
"MIT"
] | null | null | null | from setuptools import setup
long_description = open("README.md").read()
setup(
name='insilico',
version='0.1.2',
description='A Python package to process & model ChEMBL data.',
long_description_content_type="text/markdown",
long_description=long_description,
classifiers=[
'License :: ... | 30.071429 | 67 | 0.648456 |
7e67680b7ff285c7a73a411e68537d03ddc32e2e | 1,190 | py | Python | home/board/migrations/0004_add_closed_at.py | he0119/smart-home | bdd3a59a8c46c0fdc07ac3049bf589c7f95a2683 | [
"MIT"
] | null | null | null | home/board/migrations/0004_add_closed_at.py | he0119/smart-home | bdd3a59a8c46c0fdc07ac3049bf589c7f95a2683 | [
"MIT"
] | 223 | 2020-02-21T06:16:56.000Z | 2022-03-01T22:24:19.000Z | home/board/migrations/0004_add_closed_at.py | he0119/smart-home | bdd3a59a8c46c0fdc07ac3049bf589c7f95a2683 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.4 on 2020-12-25 02:53
from django.db import migrations, models
def set_edited_at(apps, schema_editor):
"""
"""
Topic = apps.get_model("board", "Topic")
for topic in Topic.objects.all():
if not topic.is_open:
topic.edited_at = topic.created... | 24.791667 | 83 | 0.610924 |
7e6813b29c6eccafd45b8c9a108f2365b9ee6257 | 17,737 | py | Python | week_5/Service.py | aaaaaaaalesha/oop-and-design-patterns | 1076002e0066b334ed7c82b47985b7fcdcf6264f | [
"MIT"
] | null | null | null | week_5/Service.py | aaaaaaaalesha/oop-and-design-patterns | 1076002e0066b334ed7c82b47985b7fcdcf6264f | [
"MIT"
] | null | null | null | week_5/Service.py | aaaaaaaalesha/oop-and-design-patterns | 1076002e0066b334ed7c82b47985b7fcdcf6264f | [
"MIT"
] | null | null | null | import pygame
import random
import yaml
import os
import Objects
OBJECT_TEXTURE = os.path.join("texture", "objects")
ENEMY_TEXTURE = os.path.join("texture", "enemies")
ALLY_TEXTURE = os.path.join("texture", "ally")
wall = [0]
floor1 = [0]
floor2 = [0]
floor3 = [0]
| 38.062232 | 108 | 0.462649 |
7e6ac35a244c03c07d3dc37ad1b2d76ac2c72006 | 3,451 | py | Python | test/test_search.py | tomkralidis/sat-search | 48f00dc4ad8c317a131ca70b05ac4ab5d3fcdb4c | [
"MIT"
] | null | null | null | test/test_search.py | tomkralidis/sat-search | 48f00dc4ad8c317a131ca70b05ac4ab5d3fcdb4c | [
"MIT"
] | null | null | null | test/test_search.py | tomkralidis/sat-search | 48f00dc4ad8c317a131ca70b05ac4ab5d3fcdb4c | [
"MIT"
] | null | null | null | import os
import glob
import json
import unittest
import satsearch.config as config
from satstac import Item
from satsearch.search import SatSearchError, Search
| 34.858586 | 103 | 0.606201 |
7e6ca5f5a32c06e55254d834d4ec7b22d2307f05 | 8,468 | py | Python | src/lck/django/common/forms.py | ar4s/kitdjango | 1da443296ac780ae002b66452df2251642374a13 | [
"MIT"
] | 10 | 2015-06-17T08:22:10.000Z | 2020-12-10T13:48:37.000Z | src/lck/django/common/forms.py | ar4s/kitdjango | 1da443296ac780ae002b66452df2251642374a13 | [
"MIT"
] | null | null | null | src/lck/django/common/forms.py | ar4s/kitdjango | 1da443296ac780ae002b66452df2251642374a13 | [
"MIT"
] | 8 | 2015-03-23T10:59:22.000Z | 2022-01-17T09:49:26.000Z | """
Albeit useful, this module is still somewhat a mess in a really early state of development. Beware, there be dragons.
"""
import datetime
import os
import re
from subprocess import check_call, CalledProcessError
from tempfile import NamedTemporaryFile
try:
from cStringIO import StringIO
except ImportError:
... | 35.430962 | 117 | 0.590694 |
7e6ce7954f14f677ee1fb45483daa4344da6bdb8 | 2,502 | py | Python | utils/model_utils.py | Pandinosaurus/PerceptualImageError | 0513613d1f575136ea52418e35f2cebc5a49f783 | [
"BSD-2-Clause"
] | null | null | null | utils/model_utils.py | Pandinosaurus/PerceptualImageError | 0513613d1f575136ea52418e35f2cebc5a49f783 | [
"BSD-2-Clause"
] | null | null | null | utils/model_utils.py | Pandinosaurus/PerceptualImageError | 0513613d1f575136ea52418e35f2cebc5a49f783 | [
"BSD-2-Clause"
] | null | null | null | import tensorflow as tf
| 42.40678 | 163 | 0.735412 |
7e6cf6505ad3c6585ee75f9c82d03c7ef24336fd | 7,302 | py | Python | kubelet/datadog_checks/kubelet/summary.py | tcpatterson/integrations-core | 3692601de09f8db60f42612b0d623509415bbb53 | [
"BSD-3-Clause"
] | null | null | null | kubelet/datadog_checks/kubelet/summary.py | tcpatterson/integrations-core | 3692601de09f8db60f42612b0d623509415bbb53 | [
"BSD-3-Clause"
] | null | null | null | kubelet/datadog_checks/kubelet/summary.py | tcpatterson/integrations-core | 3692601de09f8db60f42612b0d623509415bbb53 | [
"BSD-3-Clause"
] | null | null | null | # (C) Datadog, Inc. 2018-present
# All rights reserved
# Licensed under Simplified BSD License (see LICENSE)
from __future__ import division
from fnmatch import fnmatch
from datadog_checks.base.utils.tagging import tagger
from .common import replace_container_rt_prefix, tags_for_docker, tags_for_pod
| 47.109677 | 120 | 0.613667 |
7e6efd55ee5bacdaf7a9ad2f734f50df6af5bd9a | 2,027 | py | Python | Search_result/srr9.py | tanayz/Kaggle | 0dabcf5ccc2432cecd12f91fba9dfda64dc1afdd | [
"Apache-2.0"
] | null | null | null | Search_result/srr9.py | tanayz/Kaggle | 0dabcf5ccc2432cecd12f91fba9dfda64dc1afdd | [
"Apache-2.0"
] | null | null | null | Search_result/srr9.py | tanayz/Kaggle | 0dabcf5ccc2432cecd12f91fba9dfda64dc1afdd | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sun Jul 5 06:34:04 2015
@author: tanay
"""
from lasagne.layers import InputLayer, DropoutLayer, DenseLayer
from lasagne.updates import nesterov_momentum
from lasagne.objectives import binary_crossentropy
from nolearn.lasagne import NeuralNet
import theano
from theano import tens... | 25.658228 | 66 | 0.730143 |
7e706c63ed781d4a98c0e2432ffb583ee2d4d55c | 1,795 | py | Python | typarser/_base_optarg.py | ermishechkin/typarser | 00d965f87718c837a2c246f0b5c61401e8a6e3c8 | [
"MIT"
] | null | null | null | typarser/_base_optarg.py | ermishechkin/typarser | 00d965f87718c837a2c246f0b5c61401e8a6e3c8 | [
"MIT"
] | null | null | null | typarser/_base_optarg.py | ermishechkin/typarser | 00d965f87718c837a2c246f0b5c61401e8a6e3c8 | [
"MIT"
] | null | null | null | from __future__ import annotations
import typing
from typing import Callable, Generic, Iterable, Literal, Optional, Tuple, Union
from ._base import RESULT, TYPE, BaseComponent
from ._internal_namespace import set_value
if typing.TYPE_CHECKING:
from ._base import Namespace
from .action import Action
NARGS... | 29.42623 | 79 | 0.622284 |
7e706e01366d67075b4a31f867ccfdf06dd51be5 | 766 | py | Python | docs/tutorial/local.py | prodigyfinance/ml2p | a6df55e9ce81e68619fd2f2891981a39a9186651 | [
"0BSD"
] | 3 | 2021-10-11T05:35:45.000Z | 2022-02-21T09:54:16.000Z | docs/tutorial/local.py | hodgestar/ml2p | 3f82e7fbf79345cead67ee18de88589a1ae82b97 | [
"0BSD"
] | 7 | 2020-09-16T13:55:16.000Z | 2021-06-11T08:38:03.000Z | docs/tutorial/local.py | hodgestar/ml2p | 3f82e7fbf79345cead67ee18de88589a1ae82b97 | [
"0BSD"
] | 3 | 2020-09-15T14:38:25.000Z | 2020-09-17T20:35:35.000Z | # -*- coding: utf-8 -*-
""" Train the Boston house prices model on your local machine.
"""
import pandas as pd
from ml2p.core import LocalEnv
import model
def train(env):
""" Train and save the model locally. """
trainer = model.BostonModel().trainer(env)
trainer.train()
def predict(env):
""" Load... | 21.885714 | 62 | 0.644909 |
7e713a438f11abe5a5a8f398bae01323ba662ddc | 457 | py | Python | examples/decorator_args.py | gwilkes/botpie | 53d0313beb3f5710cab71ab30dc8a33831e8e6a4 | [
"MIT"
] | null | null | null | examples/decorator_args.py | gwilkes/botpie | 53d0313beb3f5710cab71ab30dc8a33831e8e6a4 | [
"MIT"
] | null | null | null | examples/decorator_args.py | gwilkes/botpie | 53d0313beb3f5710cab71ab30dc8a33831e8e6a4 | [
"MIT"
] | null | null | null | import botpie
import random
message = botpie.utils.argvstr()
bot = botpie.Bot("InfoBot")
result = bot.inspectstr(message)
if result:
print(result) | 20.772727 | 67 | 0.562363 |
7e71b09e8c3b6c84f5eb91628da2d2611269feb8 | 3,242 | py | Python | src/PyMud/model/account.py | NichCritic/pymud | 583ec16f5a75dc7b45146564b39851291dc07b6c | [
"MIT"
] | null | null | null | src/PyMud/model/account.py | NichCritic/pymud | 583ec16f5a75dc7b45146564b39851291dc07b6c | [
"MIT"
] | null | null | null | src/PyMud/model/account.py | NichCritic/pymud | 583ec16f5a75dc7b45146564b39851291dc07b6c | [
"MIT"
] | null | null | null | '''
Created on Nov 27, 2011
@author: Nich
'''
import uuid
from model.base import Base
from sqlalchemy import Column, String, ForeignKey
from sqlalchemy.orm import relationship
#Base.metadata.create_all(engine) | 28.438596 | 114 | 0.623381 |
7e72844189e895886424dc16300b05e203165f43 | 46 | py | Python | elevadorJahNoUltimoAndarException.py | IpRocha1/dsoo_exercicio_6 | 69ece39b2189b3a17a9185dca8a6d17acb6b5aa5 | [
"MIT"
] | null | null | null | elevadorJahNoUltimoAndarException.py | IpRocha1/dsoo_exercicio_6 | 69ece39b2189b3a17a9185dca8a6d17acb6b5aa5 | [
"MIT"
] | null | null | null | elevadorJahNoUltimoAndarException.py | IpRocha1/dsoo_exercicio_6 | 69ece39b2189b3a17a9185dca8a6d17acb6b5aa5 | [
"MIT"
] | null | null | null | class ElevadorJahNoUltimoAndarException( ...
| 15.333333 | 44 | 0.826087 |
7e72b5817d31b0de3104c24886db921a7779c4b5 | 630 | py | Python | pysatModels/models/__init__.py | pysat/pysatModelUtils | e563c36531632cd68b4e15d2ac6099fa3cb45aef | [
"BSD-3-Clause"
] | null | null | null | pysatModels/models/__init__.py | pysat/pysatModelUtils | e563c36531632cd68b4e15d2ac6099fa3cb45aef | [
"BSD-3-Clause"
] | 17 | 2019-09-18T18:19:00.000Z | 2020-01-30T18:41:59.000Z | pysatModels/models/__init__.py | pysat/pysatModelUtils | e563c36531632cd68b4e15d2ac6099fa3cb45aef | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (C) 2022, pysat development team
# Full license can be found in License.md
# -----------------------------------------------------------------------------
"""Routines for loading model data into a pysat Instrument object."""
# Import key modules and skip F401 t... | 42 | 79 | 0.663492 |
7e72e12b97f96d60c1b664e0376ea773f0bdcd6f | 2,918 | py | Python | backend/accounts/serializers.py | hvitis/geodjango-rest-vue-boilerplate | bd825fdfc81430ecfac3fe7d3c06a6e1145de1cd | [
"MIT"
] | 5 | 2020-11-23T11:31:40.000Z | 2022-03-11T01:24:46.000Z | backend/accounts/serializers.py | hvitis/geodjango-rest-vue-boilerplate | bd825fdfc81430ecfac3fe7d3c06a6e1145de1cd | [
"MIT"
] | null | null | null | backend/accounts/serializers.py | hvitis/geodjango-rest-vue-boilerplate | bd825fdfc81430ecfac3fe7d3c06a6e1145de1cd | [
"MIT"
] | null | null | null | from rest_framework_gis.serializers import GeoFeatureModelSerializer, GeometrySerializerMethodField
from django.contrib.gis.geos import Point
from accounts.models import UserProfile
import datetime
from rest_framework_gis.pagination import GeoJsonPagination
from django.contrib.auth import get_user_model
from django.ut... | 30.715789 | 99 | 0.664839 |