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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
5f79434b07d0fd0852489b19f8f438fa54ae857d | 7,273 | py | Python | finetune_test.py | tengfeixue-victor/One-Shot-Animal-Video-Segmentation | 15f9011c1b10f1e0c068f90ed46e72b3bc343310 | [
"MIT"
] | 2 | 2021-09-26T07:03:54.000Z | 2022-02-21T15:46:30.000Z | finetune_test.py | tengfeixue-victor/One-Shot-Animal-Video-Segmentation | 15f9011c1b10f1e0c068f90ed46e72b3bc343310 | [
"MIT"
] | null | null | null | finetune_test.py | tengfeixue-victor/One-Shot-Animal-Video-Segmentation | 15f9011c1b10f1e0c068f90ed46e72b3bc343310 | [
"MIT"
] | 1 | 2021-04-16T06:11:41.000Z | 2021-04-16T06:11:41.000Z | """
References: https://github.com/scaelles/OSVOS-TensorFlow
"""
from __future__ import print_function
import os
import random
import tensorflow as tf
import time
import numpy as np
from utils import models
from utils.load_data_finetune import Dataset
from utils.logger import create_logger
# seed
seed = random.randin... | 41.56 | 126 | 0.639214 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,281 | 0.313626 |
5f79476b04b3854cb2181098acbee05c751aa836 | 307 | py | Python | kinopoisk_unofficial/response/films/seasons_response.py | masterWeber/kinopoisk-api-unofficial-client | 5c95e1ec6e43bd302399b63a1525ee7e61724155 | [
"MIT"
] | 2 | 2021-11-13T12:23:41.000Z | 2021-12-24T14:09:49.000Z | kinopoisk_unofficial/response/films/seasons_response.py | masterWeber/kinopoisk-api-unofficial-client | 5c95e1ec6e43bd302399b63a1525ee7e61724155 | [
"MIT"
] | 1 | 2022-03-29T19:13:24.000Z | 2022-03-30T18:57:23.000Z | kinopoisk_unofficial/response/films/seasons_response.py | masterWeber/kinopoisk-api-unofficial-client | 5c95e1ec6e43bd302399b63a1525ee7e61724155 | [
"MIT"
] | 1 | 2021-11-13T12:30:01.000Z | 2021-11-13T12:30:01.000Z | from dataclasses import field, dataclass
from typing import List
from kinopoisk_unofficial.contract.response import Response
from kinopoisk_unofficial.model.season import Season
@dataclass(frozen=True)
class SeasonsResponse(Response):
total: int
items: List[Season] = field(default_factory=list)
| 25.583333 | 59 | 0.814332 | 101 | 0.32899 | 0 | 0 | 125 | 0.407166 | 0 | 0 | 0 | 0 |
5f7a417145bc1e9d7aeea4542c8fef811419cb42 | 4,906 | py | Python | codepod/impl.py | alexmorley/codepod | d932391beda9c4df7f048326afe7d0ea73ccb141 | [
"Apache-2.0"
] | null | null | null | codepod/impl.py | alexmorley/codepod | d932391beda9c4df7f048326afe7d0ea73ccb141 | [
"Apache-2.0"
] | null | null | null | codepod/impl.py | alexmorley/codepod | d932391beda9c4df7f048326afe7d0ea73ccb141 | [
"Apache-2.0"
] | null | null | null | import subprocess
import os
import shutil
import tempfile
import random
import string
import yaml
src_dir=os.path.dirname(os.path.realpath(__file__))
def codepod(*,repository='',image=None,volumes=[],mount_tmp=True,host_working_directory=None,docker_opts=None,git_smart=False,no_pull=False,command=False):
if not d... | 35.294964 | 155 | 0.664492 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,758 | 0.358337 |
5f7b66cd930462b5d1756ba227c23eb8265b8002 | 5,040 | py | Python | closed/FuriosaAI/code/inference/vision/medical_imaging/3d-unet-kits19/inference_utils.py | ctuning/inference_results_v1.1 | d9176eca28fcf6d7a05ccb97994362a76a1eb5ab | [
"Apache-2.0"
] | 388 | 2018-09-13T20:48:58.000Z | 2020-11-23T11:52:13.000Z | closed/FuriosaAI/code/inference/vision/medical_imaging/3d-unet-kits19/inference_utils.py | ctuning/inference_results_v1.1 | d9176eca28fcf6d7a05ccb97994362a76a1eb5ab | [
"Apache-2.0"
] | 597 | 2018-10-08T12:45:29.000Z | 2020-11-24T17:53:12.000Z | closed/FuriosaAI/code/inference/vision/medical_imaging/3d-unet-kits19/inference_utils.py | ctuning/inference_results_v1.1 | d9176eca28fcf6d7a05ccb97994362a76a1eb5ab | [
"Apache-2.0"
] | 228 | 2018-11-06T02:04:14.000Z | 2020-12-09T07:51:02.000Z | #! /usr/bin/env python3
# coding=utf-8
# Copyright (c) 2021 NVIDIA CORPORATION. All rights reserved.
# Copyright 2021 The MLPerf Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of... | 32.101911 | 91 | 0.698611 | 0 | 0 | 947 | 0.187897 | 0 | 0 | 0 | 0 | 2,789 | 0.553373 |
5f7d2edfb9acb222096440265492c363f375f8a6 | 3,047 | py | Python | fdtool/modules/GetFDs.py | dancps/FDTool | 0958f79fccbb3bb7d55cf9031ee4bd411e9c9b5a | [
"CC0-1.0"
] | 13 | 2019-03-22T13:30:04.000Z | 2022-02-01T04:46:44.000Z | fdtool/modules/GetFDs.py | dancps/FDTool | 0958f79fccbb3bb7d55cf9031ee4bd411e9c9b5a | [
"CC0-1.0"
] | 3 | 2020-07-01T11:17:40.000Z | 2022-02-13T11:20:34.000Z | fdtool/modules/GetFDs.py | dancps/FDTool | 0958f79fccbb3bb7d55cf9031ee4bd411e9c9b5a | [
"CC0-1.0"
] | 11 | 2018-07-02T23:46:31.000Z | 2021-12-14T12:29:38.000Z | import binaryRepr
# Create decorator function to see how many times functions are called
def call_counter(func):
def helper(*args, **kwargs):
helper.calls += 1
return func(*args, **kwargs);
helper.calls = 0
helper.__name__= func.__name__
return helper;
# Calculate Partition (C_k, ... | 43.528571 | 187 | 0.637348 | 0 | 0 | 0 | 0 | 318 | 0.104365 | 0 | 0 | 1,646 | 0.540203 |
5f7e6f4612c23637da085f15ec80d97da8c65063 | 1,712 | py | Python | experiments/benchmarks/activity_benchmark.py | Oidlichtnwoada/LongTermDependenciesLearning | f2913e86183588107f16402b402524a57b6ea057 | [
"MIT"
] | 1 | 2021-01-16T15:42:01.000Z | 2021-01-16T15:42:01.000Z | experiments/benchmarks/activity_benchmark.py | Oidlichtnwoada/LongTermDependenciesLearning | f2913e86183588107f16402b402524a57b6ea057 | [
"MIT"
] | null | null | null | experiments/benchmarks/activity_benchmark.py | Oidlichtnwoada/LongTermDependenciesLearning | f2913e86183588107f16402b402524a57b6ea057 | [
"MIT"
] | null | null | null | import os
import numpy as np
import pandas as pd
import experiments.benchmarks.benchmark as benchmark
class ActivityBenchmark(benchmark.Benchmark):
def __init__(self):
super().__init__('activity',
(('--sequence_length', 64, int),
('--max_samples', 40_00... | 45.052632 | 139 | 0.624416 | 1,583 | 0.92465 | 0 | 0 | 0 | 0 | 0 | 0 | 191 | 0.111565 |
5f8081343c9866235ed311ae6467c672bfbe7609 | 4,685 | py | Python | apps/menuplans/views.py | jajadinimueter/recipe | f3f0a4054a14637bf4e49728876fe7b0a029a21f | [
"MIT"
] | null | null | null | apps/menuplans/views.py | jajadinimueter/recipe | f3f0a4054a14637bf4e49728876fe7b0a029a21f | [
"MIT"
] | null | null | null | apps/menuplans/views.py | jajadinimueter/recipe | f3f0a4054a14637bf4e49728876fe7b0a029a21f | [
"MIT"
] | null | null | null | import xml.etree.ElementTree as et
from dateutil import parser
from django.shortcuts import render
from django.shortcuts import redirect
from django.core.urlresolvers import reverse
import untangle
from .forms import MenuplanSearchForm
from .forms import MenuplanCreateForm
from .tables import MenuplanTable
from .... | 30.225806 | 81 | 0.547492 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 531 | 0.11334 |
5f809ea0bdda1d52d937bea676c3f2375a0406e8 | 6,448 | py | Python | data-detective-airflow/data_detective_airflow/operators/sinks/pg_scd1_df_update_insert.py | dmitriy-e/metadata-governance | 018a879951dee3f3c2c05ac8e05b8360dd7f4ab3 | [
"Apache-2.0"
] | 5 | 2021-12-01T09:55:23.000Z | 2021-12-21T16:23:33.000Z | data-detective-airflow/data_detective_airflow/operators/sinks/pg_scd1_df_update_insert.py | dmitriy-e/metadata-governance | 018a879951dee3f3c2c05ac8e05b8360dd7f4ab3 | [
"Apache-2.0"
] | 1 | 2022-03-14T16:50:41.000Z | 2022-03-14T16:50:41.000Z | data-detective-airflow/data_detective_airflow/operators/sinks/pg_scd1_df_update_insert.py | dmitriy-e/metadata-governance | 018a879951dee3f3c2c05ac8e05b8360dd7f4ab3 | [
"Apache-2.0"
] | 2 | 2021-11-03T09:43:09.000Z | 2021-11-17T10:16:29.000Z | from contextlib import closing
from io import StringIO
import numpy
import pandas
from airflow.providers.postgres.hooks.postgres import PostgresHook
from psycopg2.extensions import connection as psycopg2_connection
from data_detective_airflow.dag_generator.works import WorkType
from data_detective_airflow.operators.s... | 39.317073 | 109 | 0.640199 | 6,070 | 0.941377 | 0 | 0 | 0 | 0 | 0 | 0 | 2,224 | 0.344913 |
5f82a8065c53d38a11111b87bd83da3803a657ae | 1,981 | py | Python | django-server/fras/attendance/utils.py | ArleneAndrews/Facial-Recognition-Attendance-System | 104d17e56af87358974331ef491949b557ab2f01 | [
"MIT"
] | 52 | 2019-01-29T14:46:17.000Z | 2022-01-14T16:11:37.000Z | django-server/fras/attendance/utils.py | etrigaen47/Facial-Recognition-Attendance-System | ad0bd18cf9582cc12002baf8c92f6638f632c46e | [
"MIT"
] | 13 | 2018-11-04T12:29:48.000Z | 2020-02-11T23:47:35.000Z | django-server/fras/attendance/utils.py | etrigaen47/Facial-Recognition-Attendance-System | ad0bd18cf9582cc12002baf8c92f6638f632c46e | [
"MIT"
] | 16 | 2019-03-07T11:07:16.000Z | 2021-08-13T07:19:28.000Z | def convert_str_to_date(string):
from datetime import datetime
datetime.strptime(string, "%Y-%m-%d %H:%M:%S.%f")
def create_database():
from attendance.models.Student import Student
from attendance.models.WorkingDay import WorkingDay
from attendance.models.LectureAttendance import LectureAttendanc... | 43.065217 | 106 | 0.704695 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 263 | 0.132761 |
5f83b8fcb8f9923c7beb83eb883b788a12549bf3 | 32,588 | py | Python | plangym/core.py | FragileTech/plangym | 9a1482bea099f12f82bae27f1c5d13393daa8032 | [
"MIT"
] | 3 | 2020-03-25T22:19:17.000Z | 2020-11-02T16:11:32.000Z | plangym/core.py | FragileTech/plangym | 9a1482bea099f12f82bae27f1c5d13393daa8032 | [
"MIT"
] | 44 | 2020-03-25T14:17:54.000Z | 2022-03-12T00:18:48.000Z | plangym/core.py | FragileTech/plangym | 9a1482bea099f12f82bae27f1c5d13393daa8032 | [
"MIT"
] | 2 | 2020-03-25T12:17:12.000Z | 2020-06-19T23:07:52.000Z | """Plangym API implementation."""
from abc import ABC
from typing import Any, Callable, Dict, Generator, Iterable, Optional, Tuple, Union
import gym
from gym.envs.registration import registry as gym_registry
from gym.spaces import Space
import numpy
import numpy as np
wrap_callable = Union[Callable[[], gym.Wrapper],... | 36.574635 | 99 | 0.613232 | 32,204 | 0.988217 | 617 | 0.018933 | 5,951 | 0.182613 | 0 | 0 | 16,116 | 0.494538 |
5f890b9328d6983928b109fecc583fe7148f59dc | 6,426 | py | Python | L2.py | coka28/AlignmentCluster | 11a4e5fc578258bd3a2181a13bdaa60346eca8da | [
"MIT"
] | null | null | null | L2.py | coka28/AlignmentCluster | 11a4e5fc578258bd3a2181a13bdaa60346eca8da | [
"MIT"
] | null | null | null | L2.py | coka28/AlignmentCluster | 11a4e5fc578258bd3a2181a13bdaa60346eca8da | [
"MIT"
] | null | null | null | # Layer 2 server script
# project worker
'''-.
+#_pü'-.....
ö*+...:(loop):..............................................
m}°: \
€>!: 1. register clients \
&w^: 2. distribute WLs and add them to pending \... | 36.931034 | 124 | 0.495331 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,276 | 0.353197 |
5f8a8dc4b802b22d26a8494296192bb50d7f2d9a | 2,677 | py | Python | test/factory/schedule_factory.py | choonho/statistics | 31fbae2d0772a2e8b717ac12c8de9edd9d8f1734 | [
"Apache-2.0"
] | null | null | null | test/factory/schedule_factory.py | choonho/statistics | 31fbae2d0772a2e8b717ac12c8de9edd9d8f1734 | [
"Apache-2.0"
] | null | null | null | test/factory/schedule_factory.py | choonho/statistics | 31fbae2d0772a2e8b717ac12c8de9edd9d8f1734 | [
"Apache-2.0"
] | null | null | null | import factory
from spaceone.core import utils
from spaceone.statistics.model.schedule_model import Schedule, Scheduled, JoinQuery, Formula, QueryOption
class ScheduledFactory(factory.mongoengine.MongoEngineFactory):
class Meta:
model = Scheduled
cron = '*/5 * * * *'
interval = 5
minutes = ... | 26.245098 | 105 | 0.548001 | 2,508 | 0.93687 | 0 | 0 | 0 | 0 | 0 | 0 | 430 | 0.160628 |
5f9164c1cc7e9494a573895e93fd39680b8520f6 | 1,324 | py | Python | ymir/backend/src/ymir_app/app/models/iteration.py | Zhang-SJ930104/ymir | dd6481be6f229ade4cf8fba64ef44a15357430c4 | [
"Apache-2.0"
] | null | null | null | ymir/backend/src/ymir_app/app/models/iteration.py | Zhang-SJ930104/ymir | dd6481be6f229ade4cf8fba64ef44a15357430c4 | [
"Apache-2.0"
] | 1 | 2022-01-18T09:28:29.000Z | 2022-01-18T09:28:29.000Z | ymir/backend/src/ymir_app/app/models/iteration.py | Aryalfrat/ymir | d4617ed00ef67a77ab4e1944763f608bface4be6 | [
"Apache-2.0"
] | null | null | null | from datetime import datetime
from sqlalchemy import Boolean, Column, DateTime, Integer, SmallInteger, String
from app.config import settings
from app.db.base_class import Base
from app.models.task import Task # noqa
class Iteration(Base):
__tablename__ = "iteration"
id = Column(Integer, primary_key=True, ... | 36.777778 | 79 | 0.749245 | 1,101 | 0.831571 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0.01284 |
5f92da5358e075a34f655feb29ca353ec1f92807 | 2,833 | py | Python | src/jenova/components/common.py | inova-tecnologias/jenova | c975f0894b8663c6a9c9fdc7fa33590a219a6ad3 | [
"Apache-2.0"
] | 2 | 2016-08-10T15:08:47.000Z | 2016-10-25T14:27:51.000Z | src/jenova/components/common.py | inova-tecnologias/jenova | c975f0894b8663c6a9c9fdc7fa33590a219a6ad3 | [
"Apache-2.0"
] | 41 | 2016-08-04T20:19:49.000Z | 2017-03-07T20:05:53.000Z | src/jenova/components/common.py | inova-tecnologias/jenova | c975f0894b8663c6a9c9fdc7fa33590a219a6ad3 | [
"Apache-2.0"
] | 3 | 2016-09-26T19:04:51.000Z | 2017-10-26T22:13:45.000Z | import uuid, hashlib, os, yaml, logging.config, json, requests, re
from bcrypt import hashpw, gensalt
from collections import namedtuple
from sqlalchemy import create_engine
from datetime import datetime
CONFIG_FILE = os.environ.get('CONFIG_PATH_FILE')
ZimbraGrant = namedtuple(
'ZimbraGrant', [
'target_name', ... | 26.726415 | 85 | 0.693611 | 2,382 | 0.840805 | 0 | 0 | 1,497 | 0.528415 | 0 | 0 | 282 | 0.099541 |
5f9463815346a08c07f5a3a2ec02e760f4e9de1f | 3,569 | py | Python | hbutils/binary/base.py | HansBug/hbutils | 6872311c8a441c5955572e0093b10189a2b90708 | [
"Apache-2.0"
] | null | null | null | hbutils/binary/base.py | HansBug/hbutils | 6872311c8a441c5955572e0093b10189a2b90708 | [
"Apache-2.0"
] | 25 | 2021-10-03T06:19:05.000Z | 2022-03-27T12:48:57.000Z | hbutils/binary/base.py | HansBug/hbutils | 6872311c8a441c5955572e0093b10189a2b90708 | [
"Apache-2.0"
] | null | null | null | import struct
from typing import BinaryIO
class CIOType:
"""
Overview:
Basic IO type.
Used as base class of all the IO types.
"""
def read(self, file: BinaryIO):
"""
Read from binary IO object.
:param file: Binary file, ``io.BytesIO`` is supported as well.
... | 24.445205 | 87 | 0.55842 | 3,515 | 0.98487 | 0 | 0 | 542 | 0.151863 | 0 | 0 | 1,963 | 0.550014 |
5f94b482c019a016c621810412b2112d18748236 | 958 | py | Python | Rosalind/iprb.py | yuriyshapovalov/Prototypes | 1fc4af4434440a8f59a4bcb486e79fd53d199a7d | [
"Apache-2.0"
] | null | null | null | Rosalind/iprb.py | yuriyshapovalov/Prototypes | 1fc4af4434440a8f59a4bcb486e79fd53d199a7d | [
"Apache-2.0"
] | 1 | 2015-03-25T22:35:52.000Z | 2015-03-25T22:35:52.000Z | Rosalind/iprb.py | yuriyshapovalov/Prototypes | 1fc4af4434440a8f59a4bcb486e79fd53d199a7d | [
"Apache-2.0"
] | null | null | null | # Mendel's First Law
# http://rosalind.info/problems/iprb/
import sys
import unittest
class iprb:
def main(self, hom_dom, het, hom_rec):
total = hom_dom + het + hom_rec
p_hom_dom = hom_dom / total
p_het = het / total
p_hom_rec = hom_rec / total
prob = 1
prob -= p_hom_rec * ((hom_rec-1)/(total-1))
pro... | 23.365854 | 51 | 0.654489 | 606 | 0.632568 | 0 | 0 | 0 | 0 | 0 | 0 | 96 | 0.100209 |
5f96125b242a38cf3339aa9cccbeb3af52c0c4f9 | 3,679 | py | Python | boltzmann.py | jkotrc/2D-Elastic-Gas | ee7632518adb03076a684dae48f0fb6f8c44efa3 | [
"Unlicense"
] | null | null | null | boltzmann.py | jkotrc/2D-Elastic-Gas | ee7632518adb03076a684dae48f0fb6f8c44efa3 | [
"Unlicense"
] | null | null | null | boltzmann.py | jkotrc/2D-Elastic-Gas | ee7632518adb03076a684dae48f0fb6f8c44efa3 | [
"Unlicense"
] | null | null | null | #MAIN method and graphics
try:
from OpenGL.GL import *
from OpenGL import GLU
import OpenGL.GL.shaders
except:
print("OpenGL wrapper for python not found")
import glfw
import numpy as np
from computation import Computation
class Graphics:
def __init__(self,width,height, computation):
... | 44.325301 | 141 | 0.651264 | 3,070 | 0.834466 | 0 | 0 | 0 | 0 | 0 | 0 | 321 | 0.087252 |
5f972ab5ab25213d75c3f56834078dbd2a9d9668 | 706 | py | Python | python/src/day06.py | azuline/aoc2020 | 849b48adf3a67ac0eeb485818e38a4b3a72fc03a | [
"Apache-2.0"
] | 3 | 2020-12-09T11:36:31.000Z | 2020-12-11T01:41:52.000Z | python/src/day06.py | azuline/aoc2020 | 849b48adf3a67ac0eeb485818e38a4b3a72fc03a | [
"Apache-2.0"
] | null | null | null | python/src/day06.py | azuline/aoc2020 | 849b48adf3a67ac0eeb485818e38a4b3a72fc03a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
from itertools import chain
from pathlib import Path
from typing import List
INPUT_FILE = Path.cwd().parent / "inputs" / "day06.txt"
AnswerGroup = List[str]
def transform_input(input: str) -> List[AnswerGroup]:
return [x.split("\n") for x in input.strip().split("\n\n")]
def part1(groups... | 23.533333 | 75 | 0.660057 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 113 | 0.160057 |
5f979d09341797e001c31791e45f05729f30d0c6 | 933 | py | Python | symopt/objective.py | spcornelius/symopt | 6f276ca07cc266af1cd58758a0cf413ab85f2591 | [
"MIT"
] | null | null | null | symopt/objective.py | spcornelius/symopt | 6f276ca07cc266af1cd58758a0cf413ab85f2591 | [
"MIT"
] | null | null | null | symopt/objective.py | spcornelius/symopt | 6f276ca07cc266af1cd58758a0cf413ab85f2591 | [
"MIT"
] | null | null | null | from symopt.base import SymOptExpr
import sympy as sym
class ObjectiveFunction(SymOptExpr):
""" Symbolic (non)linear optimization objective function. """
def __init__(self, obj, prob, **kwargs):
""" Symbolic (non)linear optimization objective function.
Parameters
----------
o... | 27.441176 | 72 | 0.608789 | 875 | 0.937835 | 0 | 0 | 111 | 0.118971 | 0 | 0 | 538 | 0.576635 |
5f97f0b8c3e75f1f6f491e876381487088f22f49 | 771 | py | Python | batch_run.py | hrishioa/Oyente | 76c8943426727c93ab161a4e196dc6abdf636fe2 | [
"MIT"
] | 4 | 2017-01-25T05:25:52.000Z | 2021-02-18T08:48:51.000Z | batch_run.py | hrishioa/Oyente | 76c8943426727c93ab161a4e196dc6abdf636fe2 | [
"MIT"
] | null | null | null | batch_run.py | hrishioa/Oyente | 76c8943426727c93ab161a4e196dc6abdf636fe2 | [
"MIT"
] | 1 | 2018-08-09T20:57:31.000Z | 2018-08-09T20:57:31.000Z | import json
import glob
from tqdm import tqdm
import os
contract_dir = 'contract_data'
cfiles = glob.glob(contract_dir+'/contract*.json')
cjson = {}
print "Loading contracts..."
for cfile in tqdm(cfiles):
cjson.update(json.loads(open(cfile).read()))
results = {}
missed = []
print "Running analysis..."
for c in... | 19.769231 | 54 | 0.66537 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 233 | 0.302205 |
5f981f7b480688c0f261ed48cbccc55b236c176c | 2,266 | py | Python | tests/test_statistics.py | BENR0/textory | 0f81b8b6726298b9181be27da7aaac2dd25bd763 | [
"MIT"
] | 1 | 2020-07-01T14:40:10.000Z | 2020-07-01T14:40:10.000Z | tests/test_statistics.py | BENR0/textory | 0f81b8b6726298b9181be27da7aaac2dd25bd763 | [
"MIT"
] | 9 | 2020-02-07T11:58:51.000Z | 2021-09-07T16:23:38.000Z | tests/test_statistics.py | BENR0/textory | 0f81b8b6726298b9181be27da7aaac2dd25bd763 | [
"MIT"
] | 1 | 2019-11-20T05:53:13.000Z | 2019-11-20T05:53:13.000Z | #! /usr/bin/python
# -*- coding: utf-8 -*-
import pytest
import numpy as np
from textory.util import neighbour_diff_squared, num_neighbours, neighbour_count, create_kernel
from textory.statistics import variogram, pseudo_cross_variogram
@pytest.fixture
def init_np_arrays():
"""Inits two random np arrays"""
np... | 27.634146 | 101 | 0.566637 | 0 | 0 | 0 | 0 | 245 | 0.10812 | 0 | 0 | 595 | 0.262577 |
5f9861c2730925ff3619b6059676dc2a261cbae6 | 827 | py | Python | question_bank/lemonade-change/lemonade-change.py | yatengLG/leetcode-python | 5d48aecb578c86d69835368fad3d9cc21961c226 | [
"Apache-2.0"
] | 9 | 2020-08-12T10:01:00.000Z | 2022-01-05T04:37:48.000Z | question_bank/lemonade-change/lemonade-change.py | yatengLG/leetcode-python | 5d48aecb578c86d69835368fad3d9cc21961c226 | [
"Apache-2.0"
] | 1 | 2021-02-16T10:19:31.000Z | 2021-02-16T10:19:31.000Z | question_bank/lemonade-change/lemonade-change.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：152 ms, 在所有 Python3 提交中击败了96.83% 的用户
内存消耗：14 MB, 在所有 Python3 提交中击败了12.45% 的用户
解题思路：
见代码注释
"""
class Solution:
def lemonadeChange(self, bills: List[int]) -> bool:
five = ten = 0 # 5元10元初始各0个
for bill in bills:
if bill == 20: # 对于20，... | 27.566667 | 59 | 0.41717 | 768 | 0.764179 | 0 | 0 | 0 | 0 | 0 | 0 | 398 | 0.39602 |
5f98d7e1817b744273f69d626fee4ccb8dd5c371 | 319 | py | Python | pythonProject/MUNDO 2/Desafio 57.py | lucasjlgc/Aulas-de-Python- | 6aaed1c660487a680e9c449210600ccdfa326612 | [
"MIT"
] | null | null | null | pythonProject/MUNDO 2/Desafio 57.py | lucasjlgc/Aulas-de-Python- | 6aaed1c660487a680e9c449210600ccdfa326612 | [
"MIT"
] | 1 | 2021-06-25T15:29:11.000Z | 2021-06-25T15:29:11.000Z | pythonProject/MUNDO 2/Desafio 57.py | lucasjlgc/Aulas-de-Python- | 6aaed1c660487a680e9c449210600ccdfa326612 | [
"MIT"
] | null | null | null | #Leia o sexo de uma pessoa, só aceite as letras M ou F; Caso contrario, peça a digitação novamente
sexo= str(input('Digite seu sexo [M/F]: ')).strip().upper()[0]
while sexo not in 'MF':
sexo=str(input('DIGITE O SEXO [M/F]: ')).strip().upper()[0]
print('seu sexo é {} e está registrado com sucesso!'.format(sexo)) | 39.875 | 98 | 0.670846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 202 | 0.621538 |
5f993e929da96965b346f667b7d028433a1f27c0 | 2,157 | py | Python | plugins/uma/plugins/uma_whois/__init__.py | liangzimiao/miyubot | c2788712255e39348c8980c8ace2f6f75fb6621c | [
"Apache-2.0"
] | null | null | null | plugins/uma/plugins/uma_whois/__init__.py | liangzimiao/miyubot | c2788712255e39348c8980c8ace2f6f75fb6621c | [
"Apache-2.0"
] | null | null | null | plugins/uma/plugins/uma_whois/__init__.py | liangzimiao/miyubot | c2788712255e39348c8980c8ace2f6f75fb6621c | [
"Apache-2.0"
] | null | null | null | from nonebot.adapters.onebot.v11.event import MessageEvent
from nonebot.typing import T_State
from nonebot.adapters.onebot.v11 import Bot, Message
from plugins.uma.plugins.uma_whois.data_source import UmaWhois
from plugins.uma import chara
#matcher =on_endswith({'是谁','是谁?','是谁？'},priority=5)
matcher =UmaWhois().on_reg... | 32.19403 | 94 | 0.623551 | 0 | 0 | 0 | 0 | 1,809 | 0.788923 | 1,773 | 0.773223 | 584 | 0.254688 |
5f99e058ef025684556e0579c4ec1d81fb084ff1 | 8,288 | py | Python | analyzer/views.py | jonfang/CMPE295_DataAnalyzer | 6d74f55fa7e38ff8d25aecc388a5ed87c95037ae | [
"MIT"
] | 1 | 2020-10-12T18:17:05.000Z | 2020-10-12T18:17:05.000Z | analyzer/views.py | jonfang/CMPE295_DataAnalyzer | 6d74f55fa7e38ff8d25aecc388a5ed87c95037ae | [
"MIT"
] | 3 | 2019-11-19T20:41:50.000Z | 2021-06-10T21:48:44.000Z | analyzer/views.py | jonfang/CMPE295_DataAnalyzer | 6d74f55fa7e38ff8d25aecc388a5ed87c95037ae | [
"MIT"
] | 2 | 2019-10-30T23:18:57.000Z | 2019-11-23T00:23:17.000Z | from django.http import HttpResponse
from pyspark.sql import SparkSession
from django.shortcuts import render
from datetime import datetime
from core.chartfactory import createBarChart, createPieChart
from core.dataprocessor import DataProcessor
def sample(request):
"""
sample python report
"""
keys =... | 35.418803 | 131 | 0.595077 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,917 | 0.231298 |
5f9a0e11f9d9a926bf4cc162d77896b7f50869b6 | 4,668 | py | Python | utils/augment_data.py | caiobarrosv/object-detection-for-grasping | 2ac2f58700dff73032836ce33d3b98ebf3f29257 | [
"BSD-3-Clause"
] | null | null | null | utils/augment_data.py | caiobarrosv/object-detection-for-grasping | 2ac2f58700dff73032836ce33d3b98ebf3f29257 | [
"BSD-3-Clause"
] | 4 | 2020-07-24T19:31:51.000Z | 2022-03-12T00:41:28.000Z | utils/augment_data.py | caiobarrosv/object-detection-for-grasping | 2ac2f58700dff73032836ce33d3b98ebf3f29257 | [
"BSD-3-Clause"
] | null | null | null | from mxnet import nd
import os
import sys
sys.path.append(os.path.abspath(os.path.join(os.path.dirname( __file__ ), '..')))
import utils.common as dataset_commons
import cv2
import numpy as np
import glob
import pandas as pd
from gluoncv.data.transforms.presets.ssd import SSDDefaultTrainTransform
from matplotlib import... | 33.826087 | 130 | 0.633248 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 989 | 0.211687 |
5f9a91b6b4cb83726c16979ae7cd27a95c8fd08d | 12,235 | py | Python | ultracart/models/apply_library_item_response.py | UltraCart/rest_api_v2_sdk_python | d734ea13fabc7a57872ff68bac06861edb8fd882 | [
"Apache-2.0"
] | 1 | 2018-03-15T16:56:23.000Z | 2018-03-15T16:56:23.000Z | ultracart/models/apply_library_item_response.py | UltraCart/rest_api_v2_sdk_python | d734ea13fabc7a57872ff68bac06861edb8fd882 | [
"Apache-2.0"
] | null | null | null | ultracart/models/apply_library_item_response.py | UltraCart/rest_api_v2_sdk_python | d734ea13fabc7a57872ff68bac06861edb8fd882 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
UltraCart Rest API V2
UltraCart REST API Version 2 # noqa: E501
OpenAPI spec version: 2.0.0
Contact: support@ultracart.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
class ApplyLibraryItemResponse... | 31.211735 | 213 | 0.621087 | 11,944 | 0.976216 | 0 | 0 | 7,599 | 0.621087 | 0 | 0 | 7,116 | 0.58161 |
5f9b09cbcd120955bb173c4d9f5b1fd61f32f6e1 | 103 | py | Python | notebooks/python_recap/_solutions/python_rehearsal6.py | jonasvdd/DS-python-data-analysis | 835226f562ee0b0631d70e48a17c4526ff58a538 | [
"BSD-3-Clause"
] | 65 | 2017-03-21T09:15:40.000Z | 2022-02-01T23:43:08.000Z | notebooks/python_recap/_solutions/python_rehearsal6.py | jonasvdd/DS-python-data-analysis | 835226f562ee0b0631d70e48a17c4526ff58a538 | [
"BSD-3-Clause"
] | 100 | 2016-12-15T03:44:06.000Z | 2022-03-07T08:14:07.000Z | notebooks/python_recap/_solutions/python_rehearsal6.py | jonasvdd/DS-python-data-analysis | 835226f562ee0b0631d70e48a17c4526ff58a538 | [
"BSD-3-Clause"
] | 52 | 2016-12-19T07:48:52.000Z | 2022-02-19T17:53:48.000Z | np_pressures_hPa * math.exp(-gravit_acc * molar_mass_earth* height/(gas_constant*standard_temperature)) | 103 | 103 | 0.84466 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5f9b8fe1beadc23d6a4c015ccb7948ee8af7a618 | 322 | py | Python | test/test_coverage.py | atupilojon/-resources--pytest | eae62b54828bb82dc534b37d9b46b83cb6d31c03 | [
"MIT"
] | null | null | null | test/test_coverage.py | atupilojon/-resources--pytest | eae62b54828bb82dc534b37d9b46b83cb6d31c03 | [
"MIT"
] | null | null | null | test/test_coverage.py | atupilojon/-resources--pytest | eae62b54828bb82dc534b37d9b46b83cb6d31c03 | [
"MIT"
] | null | null | null | from pytest import mark
# if setup.py present, code could be installed as library
# so that there's no need include path
# pip install -e .
from pytest_resources import do_lower_case
# from src.for_testing import do_lower_case
@mark.coverage
def check_lower_case():
assert do_lower_case('SomeThing') == 'something... | 24.769231 | 57 | 0.773292 | 0 | 0 | 0 | 0 | 91 | 0.282609 | 0 | 0 | 178 | 0.552795 |
5f9c3b49af1837552a765743d83f19677ef7b0fe | 3,476 | py | Python | targets/simple_router/flow_radar_bm/change_bm.py | tsihang-zz/FlowRadar-P4 | 1b4f92b83257ba8f34475c098bce8b84daa35b7c | [
"Apache-2.0"
] | 15 | 2018-08-21T10:49:38.000Z | 2021-06-23T14:33:32.000Z | targets/simple_router/flow_radar_bm/change_bm.py | harvard-cns/FlowRadar-P4 | 1b4f92b83257ba8f34475c098bce8b84daa35b7c | [
"Apache-2.0"
] | 1 | 2017-10-16T07:49:06.000Z | 2017-10-16T13:45:36.000Z | targets/simple_router/flow_radar_bm/change_bm.py | USC-NSL/FlowRadar-P4 | 1b4f92b83257ba8f34475c098bce8b84daa35b7c | [
"Apache-2.0"
] | 6 | 2016-07-26T15:47:46.000Z | 2018-03-23T01:50:06.000Z | import re
import os
def changed(lines, token):
for line in lines:
if line.find(token) != -1:
return True
return False
# copy required files
def copy_files():
os.system("cp flow_radar.h ../build/bm/src")
# change actions.c to add flow_radar lock
def change_actions_c():
actions_c = open("../build/bm/src/actio... | 31.035714 | 148 | 0.649597 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,553 | 0.446778 |
5f9c54619428b0b6d3296e3c0080e9ec17335d9c | 2,807 | py | Python | elecalc.py | shka86/py_calc | 780167bc10e2a74741ac9620dbc859c0d310e299 | [
"MIT"
] | null | null | null | elecalc.py | shka86/py_calc | 780167bc10e2a74741ac9620dbc859c0d310e299 | [
"MIT"
] | null | null | null | elecalc.py | shka86/py_calc | 780167bc10e2a74741ac9620dbc859c0d310e299 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# -*- coding: utf-8 -*-
# calculation tool for a bridge circuit with two input current sources
# two current sources can supply from both of top of the bridge and middle of the bridge
# define the voltage name as follows:
# Vp: voltage at the top of the bridge
# Vn: voltage at the middle of the brid... | 25.990741 | 88 | 0.540791 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,126 | 0.40114 |
5f9c577bd20e78c6c12bbdda22baa4f5a81a595e | 618 | py | Python | Python/Armstrong_Number.py | shashwat-agarwal/hacktoberfest-2 | 552a4278ffd671603f8659562427b0f1ac5127a4 | [
"Apache-2.0"
] | 17 | 2020-10-02T03:28:33.000Z | 2020-10-24T04:08:30.000Z | Python/Armstrong_Number.py | shubhamgoel90/hacktoberfest | e7b1aa18485c4a080b2568910f82e98a5feb6f37 | [
"Apache-2.0"
] | 22 | 2020-10-01T20:00:56.000Z | 2020-10-31T01:56:10.000Z | Python/Armstrong_Number.py | shubhamgoel90/hacktoberfest | e7b1aa18485c4a080b2568910f82e98a5feb6f37 | [
"Apache-2.0"
] | 139 | 2020-10-01T19:51:40.000Z | 2020-11-02T19:58:19.000Z | #Program to check whether the number is an armstrong number or not
#Ask user to enter the number
number=int(input("Enter the number you want to check armstrong: "))
#To calculate the length of number entered.
order=len(str(number))
#Initialise sum to 0
sum=0
temp=number
while temp>0:
num=temp%10
sum+=num**o... | 21.310345 | 68 | 0.723301 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 429 | 0.694175 |
5f9c87648a4e17596d684c15485c9c92d81abb57 | 304 | py | Python | pyexlatex/models/format/hline.py | whoopnip/py-ex-latex | 66f5fadc35a0bfdce5f1ccb3c80dce8885b061b6 | [
"MIT"
] | 4 | 2020-06-08T07:17:12.000Z | 2021-11-04T21:39:52.000Z | pyexlatex/models/format/hline.py | nickderobertis/py-ex-latex | 66f5fadc35a0bfdce5f1ccb3c80dce8885b061b6 | [
"MIT"
] | 24 | 2020-02-17T17:20:44.000Z | 2021-12-20T00:10:19.000Z | pyexlatex/models/format/hline.py | nickderobertis/py-ex-latex | 66f5fadc35a0bfdce5f1ccb3c80dce8885b061b6 | [
"MIT"
] | null | null | null | from pyexlatex.models.sizes.textwidth import TextWidth
from pyexlatex.models.format.rule import Rule
class HLine(Rule):
"""
Draws a horizontal line across the text width.
"""
def __init__(self, thickness: float = 0.4):
super().__init__(length=TextWidth(), thickness=thickness)
| 25.333333 | 65 | 0.710526 | 200 | 0.657895 | 0 | 0 | 0 | 0 | 0 | 0 | 62 | 0.203947 |
5f9d943e1c5e5e036c07d0eb1ed8c96b9fd06019 | 4,038 | py | Python | sixx/plugins/images.py | TildeBeta/6X | 1814eb8f394b7c25b49decdd7d7249567c85f30f | [
"MIT"
] | 2 | 2018-03-06T20:39:49.000Z | 2018-03-17T04:28:57.000Z | sixx/plugins/images.py | TildeBeta/TwitterImages | 1814eb8f394b7c25b49decdd7d7249567c85f30f | [
"MIT"
] | 2 | 2018-03-06T20:39:46.000Z | 2018-03-15T17:03:03.000Z | sixx/plugins/images.py | TildeBeta/TwitterImages | 1814eb8f394b7c25b49decdd7d7249567c85f30f | [
"MIT"
] | 1 | 2018-04-25T22:24:40.000Z | 2018-04-25T22:24:40.000Z | from math import sqrt
import asks
import datetime
import numpy as np
import random
from PIL import Image
from PIL.ImageDraw import Draw
from PIL.ImageEnhance import Brightness
from PIL.ImageFont import truetype
from curio import spawn_thread
from curious.commands import Context, Plugin, command
from io import BytesIO
... | 40.38 | 124 | 0.488856 | 3,586 | 0.888063 | 0 | 0 | 3,499 | 0.866518 | 3,484 | 0.862803 | 244 | 0.060426 |
5f9df6e37fc71858adef3ee969afe3699916d4a6 | 2,669 | py | Python | plugins/DonorlessOperation/__init__.py | j-h-m/Media-Journaling-Tool | 4ab6961e2768dc002c9bbad182f83188631f01bd | [
"BSD-3-Clause"
] | null | null | null | plugins/DonorlessOperation/__init__.py | j-h-m/Media-Journaling-Tool | 4ab6961e2768dc002c9bbad182f83188631f01bd | [
"BSD-3-Clause"
] | null | null | null | plugins/DonorlessOperation/__init__.py | j-h-m/Media-Journaling-Tool | 4ab6961e2768dc002c9bbad182f83188631f01bd | [
"BSD-3-Clause"
] | null | null | null | import logging
from maskgen import video_tools
import random
import maskgen.video_tools
import os
import maskgen
import json
plugin = "DonorPicker"
def transform(img, source, target, **kwargs):
valid = []
possible = []
data = {}
logging.getLogger('maskgen').info(str(kwargs))
for f in os.listdir(kwa... | 38.128571 | 124 | 0.557887 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 990 | 0.370925 |
5f9e0f831db1b36f8edc783c6c1bfaa61c116474 | 1,228 | py | Python | track_model/eval_avg_scores.py | QUVA-Lab/lang-tracker | 6cb3630471765565b6f2d34a160f0cd51d95a082 | [
"BSD-2-Clause-FreeBSD"
] | 31 | 2017-09-13T13:40:59.000Z | 2022-01-25T16:55:19.000Z | track_model/eval_avg_scores.py | zhenyangli/lang-tracker | dddd808a22582573ab0a5e4c3dbf0ba054e42d61 | [
"BSD-3-Clause"
] | 4 | 2017-09-14T01:56:58.000Z | 2021-01-28T00:58:58.000Z | track_model/eval_avg_scores.py | QUVA-Lab/lang-tracker | 6cb3630471765565b6f2d34a160f0cd51d95a082 | [
"BSD-2-Clause-FreeBSD"
] | 9 | 2017-09-28T03:22:08.000Z | 2021-01-19T10:56:44.000Z | import caffe
import numpy as np
import os
import sys
import track_model_train as track_model
import train_config
max_iter = 1000
def eval_avg_scores(config):
with open('./track_model/scores.prototxt', 'w') as f:
f.write(str(track_model.generate_scores('', config)))
caffe.set_device(config.gpu_id)
... | 29.95122 | 90 | 0.643322 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 386 | 0.314332 |
5f9e1b47610239b65145f24fa61ab7d89533b94e | 1,968 | py | Python | tests/group_test.py | gekkeharry13/api-python | b18d1694c19f5f972a126ee9ff3d3971a08815cb | [
"Apache-2.0"
] | 1 | 2018-05-31T17:29:30.000Z | 2018-05-31T17:29:30.000Z | tests/group_test.py | gekkeharry13/api-python | b18d1694c19f5f972a126ee9ff3d3971a08815cb | [
"Apache-2.0"
] | 8 | 2015-02-20T16:22:12.000Z | 2019-04-25T23:57:43.000Z | tests/group_test.py | gekkeharry13/api-python | b18d1694c19f5f972a126ee9ff3d3971a08815cb | [
"Apache-2.0"
] | 8 | 2015-02-28T06:56:15.000Z | 2020-01-02T22:42:09.000Z | #
# Copyright (C) 2014 Conjur Inc
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of
# this software and associated documentation files (the "Software"), to deal in
# the Software without restriction, including without limitation the rights to
# use, copy, modify, merge, publish, distri... | 37.132075 | 82 | 0.757622 | 0 | 0 | 0 | 0 | 582 | 0.295732 | 0 | 0 | 1,187 | 0.60315 |
5f9e9628295536489ee271571858b5c113c24c7c | 99,362 | py | Python | Scripts/generated/protocolbuffers/Social_pb2.py | velocist/TS4CheatsInfo | b59ea7e5f4bd01d3b3bd7603843d525a9c179867 | [
"Apache-2.0"
] | null | null | null | Scripts/generated/protocolbuffers/Social_pb2.py | velocist/TS4CheatsInfo | b59ea7e5f4bd01d3b3bd7603843d525a9c179867 | [
"Apache-2.0"
] | null | null | null | Scripts/generated/protocolbuffers/Social_pb2.py | velocist/TS4CheatsInfo | b59ea7e5f4bd01d3b3bd7603843d525a9c179867 | [
"Apache-2.0"
] | null | null | null | # uncompyle6 version 3.7.4
# Python bytecode 3.7 (3394)
# Decompiled from: Python 3.7.9 (tags/v3.7.9:13c94747c7, Aug 17 2020, 18:58:18) [MSC v.1900 64 bit (AMD64)]
# Embedded file name: D:\dev\TS4\_deploy\Client\Releasex64\Python\Generated\protocolbuffers\Social_pb2.py
# Compiled at: 2020-12-13 14:24:09
# Size of sourc... | 31.050625 | 10,693 | 0.763723 | 5,350 | 0.053839 | 0 | 0 | 0 | 0 | 0 | 0 | 27,127 | 0.272987 |
5f9ec6c74b57542c9787a229e40967ba3e06098c | 56 | py | Python | NumpyUtility/__init__.py | PaulKGrimes/NumpyUtility | 35607725d07952deca10d7342043db7e77756278 | [
"MIT"
] | null | null | null | NumpyUtility/__init__.py | PaulKGrimes/NumpyUtility | 35607725d07952deca10d7342043db7e77756278 | [
"MIT"
] | null | null | null | NumpyUtility/__init__.py | PaulKGrimes/NumpyUtility | 35607725d07952deca10d7342043db7e77756278 | [
"MIT"
] | null | null | null | __all__ = ["NumpyUtility"]
from .NumpyUtility import *
| 14 | 27 | 0.732143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0.25 |
5f9f9ecefb3439db4ca570e4a61b0846cf1331d6 | 188 | py | Python | 09-Data-Analysis/Sweetviz/ReprotViz.py | NguyenQuangBinh803/Python-Heritage | 7da72b2926cefc4903086a1cab7de3a64764d648 | [
"MIT"
] | 1 | 2021-01-10T12:06:26.000Z | 2021-01-10T12:06:26.000Z | 09-Data-Analysis/Sweetviz/ReprotViz.py | NguyenQuangBinh803/Python-Heritage | 7da72b2926cefc4903086a1cab7de3a64764d648 | [
"MIT"
] | null | null | null | 09-Data-Analysis/Sweetviz/ReprotViz.py | NguyenQuangBinh803/Python-Heritage | 7da72b2926cefc4903086a1cab7de3a64764d648 | [
"MIT"
] | null | null | null | import sweetviz
import pandas as pd
if __name__ == '__main__':
df = pd.read_csv("BankChurners_clean.csv")
report = sweetviz.analyze(df, "Attrition_Flag")
report.show_html()
| 20.888889 | 51 | 0.707447 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 0.265957 |
5fa0436f9f5d626cf4b365a484376d1f5343ee15 | 5,046 | py | Python | FTPShell/FTPShell.py | dsogo/H4CKING | 58aaaabc25995dbff9aa4985e8308a963772b87e | [
"MIT"
] | 17 | 2020-10-07T01:37:32.000Z | 2021-12-11T21:23:25.000Z | FTPShell/FTPShell.py | Al0nnso/H4CKING | 58aaaabc25995dbff9aa4985e8308a963772b87e | [
"MIT"
] | null | null | null | FTPShell/FTPShell.py | Al0nnso/H4CKING | 58aaaabc25995dbff9aa4985e8308a963772b87e | [
"MIT"
] | 8 | 2020-09-22T03:14:51.000Z | 2022-03-07T16:03:24.000Z | from pyftpdlib.authorizers import DummyAuthorizer
from pyftpdlib.handlers import FTPHandler
from multiprocessing import Process
from pyftpdlib import servers
from time import sleep
from requests import get
import socket
import psutil
import win32api
# Al0nnso - 2019
# FTP Reverse Shell
# NOT TESTED WITH EXTERN NETWOR... | 35.535211 | 92 | 0.441538 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 641 | 0.127031 |
5fa103b113b3be7f53cb7ec2e64ba88c2cf38693 | 8,321 | py | Python | tests/test_io.py | wellcometrust/deep_reference_parser | b58e4616f4de9bfe18ab41e90f696f80ab876245 | [
"MIT"
] | 13 | 2020-02-19T02:09:00.000Z | 2021-12-16T23:15:58.000Z | tests/test_io.py | wellcometrust/deep_reference_parser | b58e4616f4de9bfe18ab41e90f696f80ab876245 | [
"MIT"
] | 33 | 2020-02-12T11:21:51.000Z | 2022-02-10T00:48:17.000Z | tests/test_io.py | wellcometrust/deep_reference_parser | b58e4616f4de9bfe18ab41e90f696f80ab876245 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# coding: utf-8
import os
import pytest
from deep_reference_parser.io.io import (
read_jsonl,
write_jsonl,
load_tsv,
write_tsv,
_split_list_by_linebreaks,
_unpack,
)
from deep_reference_parser.reference_utils import yield_token_label_pairs
from .common import TEST_JSON... | 24.259475 | 88 | 0.414373 | 0 | 0 | 0 | 0 | 100 | 0.011953 | 0 | 0 | 3,232 | 0.386326 |
5fa141b264762a22f9a2b6309a86900f4d79fb07 | 389 | py | Python | tests/unit/test_priorities.py | anshumangoyal/testrail-api | a9b2983a59667999a8432fa0af034c1fbd07e1cc | [
"MIT"
] | 21 | 2019-04-15T07:25:48.000Z | 2022-03-19T04:21:43.000Z | tests/unit/test_priorities.py | anshumangoyal/testrail-api | a9b2983a59667999a8432fa0af034c1fbd07e1cc | [
"MIT"
] | 30 | 2019-04-15T07:18:59.000Z | 2022-03-19T07:26:57.000Z | tests/unit/test_priorities.py | anshumangoyal/testrail-api | a9b2983a59667999a8432fa0af034c1fbd07e1cc | [
"MIT"
] | 16 | 2019-02-21T11:59:32.000Z | 2022-02-23T17:33:16.000Z | import json
import responses
def test_get_priorities(api, mock, host):
mock.add_callback(
responses.GET,
'{}index.php?/api/v2/get_priorities'.format(host),
lambda x: (200, {}, json.dumps([{'id': 1, 'priority': 1}, {'id': 4, 'priority': 4}]))
)
resp = api.priorities.get_priorities... | 24.3125 | 93 | 0.59383 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 78 | 0.200514 |
5fa14c2eb69ff76b5ae4ab590ca445b49132d179 | 37,185 | py | Python | prescient/gosm/tester.py | iSoron/Prescient | a3c1d7c5840893ff43dca48c40dc90f083292d26 | [
"BSD-3-Clause"
] | 21 | 2020-06-03T13:54:22.000Z | 2022-02-27T18:20:35.000Z | prescient/gosm/tester.py | iSoron/Prescient | a3c1d7c5840893ff43dca48c40dc90f083292d26 | [
"BSD-3-Clause"
] | 79 | 2020-07-30T17:29:04.000Z | 2022-03-09T00:06:39.000Z | prescient/gosm/tester.py | bknueven/Prescient | 6289c06a5ea06c137cf1321603a15e0c96ddfb85 | [
"BSD-3-Clause"
] | 16 | 2020-07-14T17:05:56.000Z | 2022-02-17T17:51:13.000Z | # ___________________________________________________________________________
#
# Prescient
# Copyright 2020 National Technology & Engineering Solutions of Sandia, LLC
# (NTESS). Under the terms of Contract DE-NA0003525 with NTESS, the U.S.
# Government retains certain rights in this software.
# This software is ... | 43.644366 | 134 | 0.61584 | 33,758 | 0.907839 | 0 | 0 | 0 | 0 | 0 | 0 | 4,999 | 0.134436 |
5fa27ee2e5dad2743d90292ecca26ad61a23a586 | 615 | py | Python | inbound/admin.py | nilesh-kr-dubey/django-inbound-rules | 5ca122bf915d17c04a63b1464048bba91006e854 | [
"MIT"
] | 1 | 2020-07-31T06:34:27.000Z | 2020-07-31T06:34:27.000Z | inbound/admin.py | nilesh-kr-dubey/django-inbound-rules | 5ca122bf915d17c04a63b1464048bba91006e854 | [
"MIT"
] | null | null | null | inbound/admin.py | nilesh-kr-dubey/django-inbound-rules | 5ca122bf915d17c04a63b1464048bba91006e854 | [
"MIT"
] | null | null | null | from django.contrib import admin
from inbound.models import Rule, InboundIP
# Register your models here.
class InboundIPInline(admin.TabularInline):
''' Inline of Inbound Rule '''
model = InboundIP
readonly_fields = ['cidr']
extra = 1
class RuleAdmin(admin.ModelAdmin):
model = Rule
list_dis... | 25.625 | 98 | 0.676423 | 464 | 0.754472 | 0 | 0 | 0 | 0 | 0 | 0 | 195 | 0.317073 |
5fa29ec1b9e32e73683aab09293ca2018836774b | 397 | py | Python | firldBuzzUserEntryApp/login/loginForm.py | sir-rasel/backend-api-integration | 41e3d44caa6ec10382efbb482cb9d0f77bd4a5fb | [
"MIT"
] | 2 | 2020-12-11T12:45:34.000Z | 2021-11-09T11:25:23.000Z | firldBuzzUserEntryApp/login/loginForm.py | sir-rasel/backend-api-integration | 41e3d44caa6ec10382efbb482cb9d0f77bd4a5fb | [
"MIT"
] | null | null | null | firldBuzzUserEntryApp/login/loginForm.py | sir-rasel/backend-api-integration | 41e3d44caa6ec10382efbb482cb9d0f77bd4a5fb | [
"MIT"
] | null | null | null | from django import forms
class LoginForm(forms.Form):
userName = forms.EmailField(label='User Name', max_length=55, required=True, \
widget=forms.EmailInput(attrs={'placeholder': 'Username that sends via mail'}))
password = forms.CharField(label='Password', max_length=55, required=True, \
widge... | 49.625 | 89 | 0.722922 | 370 | 0.93199 | 0 | 0 | 0 | 0 | 0 | 0 | 106 | 0.267003 |
5fa32fa26545cc0a0f75090c1a789058c3f6ac3d | 751 | py | Python | src/level2/뉴스클러스터링.py | iml1111/programmers_coding_study | 07e89220c59c3b40dd92edc39d1b573d018efae4 | [
"MIT"
] | 1 | 2021-01-03T13:01:33.000Z | 2021-01-03T13:01:33.000Z | src/level2/뉴스클러스터링.py | iml1111/programmers_coding_study | 07e89220c59c3b40dd92edc39d1b573d018efae4 | [
"MIT"
] | null | null | null | src/level2/뉴스클러스터링.py | iml1111/programmers_coding_study | 07e89220c59c3b40dd92edc39d1b573d018efae4 | [
"MIT"
] | null | null | null | from collections import Counter
def refine(s):
result = []
for i in range(len(s) - 1):
bigram = s[i:i+2].lower()
if bigram.isalpha():
result.append(bigram)
return result
def solution(str1, str2):
counter1, counter2 = Counter(refine(str1)), Counter(refine(str2))
set1, se... | 31.291667 | 77 | 0.609854 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 64 | 0.08522 |
5fa6b75aa0e33eeec7402b44584c8450dcb054c7 | 1,226 | py | Python | gssClients/gssPythonClients/download_gss.py | SemWES/client_libs | 48c3af519ceaf80b3f33cf509c72376b9b3d9582 | [
"Zlib"
] | null | null | null | gssClients/gssPythonClients/download_gss.py | SemWES/client_libs | 48c3af519ceaf80b3f33cf509c72376b9b3d9582 | [
"Zlib"
] | null | null | null | gssClients/gssPythonClients/download_gss.py | SemWES/client_libs | 48c3af519ceaf80b3f33cf509c72376b9b3d9582 | [
"Zlib"
] | null | null | null | #!/bin/env python
# Copyright STIFTELSEN SINTEF 2016
import suds
import urllib2
import sys
if len(sys.argv) < 4:
print ("Usage:")
print ("\t %s gss-url outputfilename token" % sys.argv[0])
exit()
# get url:
url = sys.argv[1]
outputfileName = sys.argv[2]
sessionToken = sys.argv[3]
wsdlLocation = "https:... | 29.190476 | 88 | 0.686786 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 242 | 0.19739 |
5faad04658ea51684534a077173c5f03481fc86f | 6,728 | py | Python | Zmuggler.py | electronicbots/Zmuggler | 5b9df5919367dffb588b18c5acd567e20135d2b7 | [
"MIT"
] | 1 | 2021-07-28T06:02:44.000Z | 2021-07-28T06:02:44.000Z | Zmuggler.py | electronicbots/Zmuggler | 5b9df5919367dffb588b18c5acd567e20135d2b7 | [
"MIT"
] | null | null | null | Zmuggler.py | electronicbots/Zmuggler | 5b9df5919367dffb588b18c5acd567e20135d2b7 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
from requests import Request, Session
from requests.exceptions import ReadTimeout
import urllib3, requests, collections, http.client, optparse, sys, os
print("""\033[1;36m
_____ _
|__ /_ __ ___ _ _ __ _ __ _| | ___ _ __
/ /| '_ ` _ \| | | |/ _` |/ ... | 35.597884 | 148 | 0.5 | 5,492 | 0.81629 | 0 | 0 | 0 | 0 | 0 | 0 | 2,137 | 0.317628 |
5faed7df0481d882b8814038712e8be58ef77e17 | 3,397 | py | Python | cosmosis-standard-library/shear/cl_to_xi_fullsky/cl_to_xi_interface.py | ktanidis2/Modified_CosmoSIS_for_galaxy_number_count_angular_power_spectra | 07e5d308c6a8641a369a3e0b8d13c4104988cd2b | [
"BSD-2-Clause"
] | 1 | 2021-09-15T10:10:26.000Z | 2021-09-15T10:10:26.000Z | cosmosis-standard-library/shear/cl_to_xi_fullsky/cl_to_xi_interface.py | ktanidis2/Modified_CosmoSIS_for_galaxy_number_count_angular_power_spectra | 07e5d308c6a8641a369a3e0b8d13c4104988cd2b | [
"BSD-2-Clause"
] | null | null | null | cosmosis-standard-library/shear/cl_to_xi_fullsky/cl_to_xi_interface.py | ktanidis2/Modified_CosmoSIS_for_galaxy_number_count_angular_power_spectra | 07e5d308c6a8641a369a3e0b8d13c4104988cd2b | [
"BSD-2-Clause"
] | 1 | 2021-06-11T15:29:43.000Z | 2021-06-11T15:29:43.000Z | #coding: utf-8
#import cl_to_xi_full
from __future__ import print_function
from builtins import range
import numpy as np
from cosmosis.datablock import option_section, names as section_names
from cl_to_xi import save_xi_00_02, save_xi_22, arcmin_to_radians, SpectrumInterp
from legendre import get_legfactors_00, get_leg... | 36.138298 | 87 | 0.657345 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 643 | 0.189285 |
5fafc8dcb4215c91fc9ae3f825e9c6da430bff4a | 326 | py | Python | software/glasgow/applet/video/__init__.py | electroniceel/Glasgow | f6d8fda1d5baec006a6c43fa3d2547a33bdee666 | [
"Apache-2.0",
"0BSD"
] | 1,014 | 2019-10-05T16:21:43.000Z | 2022-03-31T09:26:43.000Z | software/glasgow/applet/video/__init__.py | attie/glasgow | eca2cb278478d9cb9a102e6e99dfc5bd2d77a549 | [
"Apache-2.0",
"0BSD"
] | 113 | 2019-10-06T07:49:37.000Z | 2022-03-24T04:33:08.000Z | software/glasgow/applet/video/__init__.py | attie/glasgow | eca2cb278478d9cb9a102e6e99dfc5bd2d77a549 | [
"Apache-2.0",
"0BSD"
] | 79 | 2019-10-08T07:36:03.000Z | 2022-03-21T07:00:27.000Z | """
The ``video`` taxon groups applets implementing video interfaces, that is, interfaces for periodic
transfers of 2d arrays of samples of electromagnetic wave properties.
Examples: VGA output, TFT LCD capture, TFT LCD output.
Counterexamples: SCSI scanner (use taxon ``photo``), SPI LCD output (use taxon ``display``)... | 40.75 | 98 | 0.757669 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 325 | 0.996933 |
5fb11bba5257814c53fdaf00b36feffb7caef7ad | 22,329 | py | Python | aiida_vasp/parsers/content_parsers/vasprun.py | DropD/aiida_vasp | 9967f5501a6fc1c67981154068135cec7be5396a | [
"MIT"
] | 3 | 2016-11-18T07:19:57.000Z | 2016-11-28T08:28:38.000Z | aiida_vasp/parsers/content_parsers/vasprun.py | DropD/aiida_vasp | 9967f5501a6fc1c67981154068135cec7be5396a | [
"MIT"
] | null | null | null | aiida_vasp/parsers/content_parsers/vasprun.py | DropD/aiida_vasp | 9967f5501a6fc1c67981154068135cec7be5396a | [
"MIT"
] | null | null | null | """
The vasprun.xml parser interface.
---------------------------------
Contains the parsing interfaces to ``parsevasp`` used to parse ``vasprun.xml`` content.
"""
# pylint: disable=abstract-method, too-many-public-methods
import numpy as np
from parsevasp.vasprun import Xml
from parsevasp import constants as parseva... | 31.898571 | 132 | 0.578261 | 21,170 | 0.948094 | 0 | 0 | 12,889 | 0.577231 | 0 | 0 | 8,957 | 0.401138 |
5fb1b34629d1b25a94935e87aa37911d21e8edb9 | 704 | py | Python | estoque/admin.py | Felipebros/mini_curso_django | 965dd5e8837db9dea4485e889c2b8703fb5e902d | [
"MIT"
] | 8 | 2019-06-18T20:20:39.000Z | 2019-11-09T20:21:06.000Z | estoque/admin.py | Felipebros/mini_curso_django | 965dd5e8837db9dea4485e889c2b8703fb5e902d | [
"MIT"
] | 8 | 2019-12-04T23:26:42.000Z | 2022-02-10T12:02:19.000Z | estoque/admin.py | Felipebros/mini_curso_django | 965dd5e8837db9dea4485e889c2b8703fb5e902d | [
"MIT"
] | 3 | 2019-06-21T22:37:32.000Z | 2019-10-31T00:38:45.000Z | from django.contrib import admin
from .models import Produto, TipoProduto, Estoque
# Register your models here.
class TipoProdutoAdmin(admin.ModelAdmin):
search_fields = ['descricao',]
admin.site.register(TipoProduto, TipoProdutoAdmin)
class EstoqueAdmin(admin.ModelAdmin):
search_fields = ['produto__nome']
... | 35.2 | 105 | 0.755682 | 448 | 0.636364 | 0 | 0 | 0 | 0 | 0 | 0 | 207 | 0.294034 |
5fb1ba21e31a7c2b9e588c895f10ae57243ce651 | 3,137 | py | Python | star/star.py | gd-star-pp/star-pp | 24c7289199215961fe5462b99ec600907b305d3f | [
"MIT"
] | 2 | 2021-10-10T23:42:30.000Z | 2022-03-31T19:43:13.000Z | star/star.py | lotus-gd/azalea | 24c7289199215961fe5462b99ec600907b305d3f | [
"MIT"
] | null | null | null | star/star.py | lotus-gd/azalea | 24c7289199215961fe5462b99ec600907b305d3f | [
"MIT"
] | null | null | null | import gd, itertools
from cube import calculate_cube
from ball import calculate_ball
from helpers import average
client = gd.Client()
def calculate_ship(editor: gd.api.Editor, level: gd.Level, portal: gd.api.Object, speed, portal_count: int):
pass
def calculate_ufo(editor: gd.api.Editor, level: gd.Level, portal:... | 36.057471 | 203 | 0.646159 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 0.035065 |
5fb3ccf7fca90c61707cbd90f3475846779b54b9 | 341 | py | Python | clash-of-code/shortest/number_categories.py | jonasnic/codingame | f1a7fe8007b9ca63bdf30cd72f4d6ac41a5ac721 | [
"MIT"
] | 30 | 2016-04-30T01:56:05.000Z | 2022-03-09T22:19:12.000Z | clash-of-code/shortest/number_categories.py | jonasnic/codingame | f1a7fe8007b9ca63bdf30cd72f4d6ac41a5ac721 | [
"MIT"
] | 1 | 2021-05-19T19:36:45.000Z | 2021-05-19T19:36:45.000Z | clash-of-code/shortest/number_categories.py | jonasnic/codingame | f1a7fe8007b9ca63bdf30cd72f4d6ac41a5ac721 | [
"MIT"
] | 17 | 2020-01-28T13:54:06.000Z | 2022-03-26T09:49:27.000Z | from collections import defaultdict
c=defaultdict(set)
f=lambda:[int(i) for i in input().split()]
a,b=f()
s,e=f()
for i in range(s,e+1):
x=i%a==0
y=i%b==0
if x and y:
c[3].add(i)
elif x and not y:
c[1].add(i)
elif y and not x:
c[2].add(i)
else:
c[4].add(i)
o=[]
for i in range(1,5):
o.append(str(len(c[i])... | 17.05 | 42 | 0.58651 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0.008798 |
5fb5e0196946388daa9f3a5d9e0cb39eba4f8a0c | 520 | py | Python | interpreter/src/parser/errors.py | Cdayz/simple_lang | dc19d6ef76bb69c87981c8b826cf8f71b0cc475b | [
"MIT"
] | 3 | 2019-08-22T01:20:16.000Z | 2021-02-05T09:11:50.000Z | interpreter/src/parser/errors.py | Cdayz/simple_lang | dc19d6ef76bb69c87981c8b826cf8f71b0cc475b | [
"MIT"
] | null | null | null | interpreter/src/parser/errors.py | Cdayz/simple_lang | dc19d6ef76bb69c87981c8b826cf8f71b0cc475b | [
"MIT"
] | 2 | 2019-08-22T01:20:18.000Z | 2021-05-27T14:40:12.000Z | """Module with useful exceptions for Parser."""
class BadOperationIdentifier(Exception):
"""Bad operation identifier used."""
class BadOperationArgument(Exception):
"""Bad argument provided to operation."""
class BadInPlaceValue(Exception):
"""Bad in-place value provided as argument."""
class Parsin... | 22.608696 | 52 | 0.696154 | 460 | 0.884615 | 0 | 0 | 0 | 0 | 0 | 0 | 190 | 0.365385 |
5fb7671976b6e01ae676fe790432693d8f4d3e4c | 286 | py | Python | st_library/utils/generics/singleton.py | vartagg/dataprovider-py | e392af3dab21c99c51a32345710fcd0dc4023462 | [
"Apache-2.0"
] | null | null | null | st_library/utils/generics/singleton.py | vartagg/dataprovider-py | e392af3dab21c99c51a32345710fcd0dc4023462 | [
"Apache-2.0"
] | 2 | 2018-03-27T11:06:46.000Z | 2020-10-27T20:48:51.000Z | st_library/utils/generics/singleton.py | vartagg/dataprovider-py | e392af3dab21c99c51a32345710fcd0dc4023462 | [
"Apache-2.0"
] | 4 | 2018-02-26T08:12:39.000Z | 2018-05-18T06:01:01.000Z | class Singleton(object):
_instances = {}
def __new__(cls, *args, **kwargs):
if cls not in cls._instances:
# noinspection PyArgumentList
cls._instances[cls] = super(Singleton, cls).__new__(cls, *args, **kwargs)
return cls._instances[cls]
| 31.777778 | 85 | 0.618881 | 285 | 0.996503 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | 0.101399 |
5fb78ad70383d16f179dd4a23ab825be06e844e6 | 1,919 | py | Python | apps/DuelingBanditsPureExploration/dashboard/Dashboard.py | erinzm/NEXT-chemistry | d6ca0a80640937b36f9cafb5ead371e7a8677734 | [
"Apache-2.0"
] | 155 | 2015-11-01T17:48:41.000Z | 2022-02-06T21:37:41.000Z | apps/DuelingBanditsPureExploration/dashboard/Dashboard.py | erinzm/NEXT-chemistry | d6ca0a80640937b36f9cafb5ead371e7a8677734 | [
"Apache-2.0"
] | 193 | 2015-09-29T21:40:31.000Z | 2020-04-21T15:09:13.000Z | apps/DuelingBanditsPureExploration/dashboard/Dashboard.py | erinzm/NEXT-chemistry | d6ca0a80640937b36f9cafb5ead371e7a8677734 | [
"Apache-2.0"
] | 54 | 2015-09-30T15:51:05.000Z | 2022-02-13T05:26:20.000Z | import json
import next.utils as utils
from next.apps.AppDashboard import AppDashboard
class MyAppDashboard(AppDashboard):
def __init__(self,db,ell):
AppDashboard.__init__(self,db,ell)
def most_current_ranking(self,app, butler, alg_label):
"""
Description: Returns a ranking of arms in ... | 47.975 | 158 | 0.604482 | 1,828 | 0.952579 | 0 | 0 | 0 | 0 | 0 | 0 | 1,205 | 0.627931 |
5fba9266d157d784d487f4f6d96c252ab58bc927 | 221 | py | Python | modules/module0/02_datastructures_and_geometry/datastructures_0b.py | tetov/ITA19 | 1af68a8885caf83acd98f4136d0286539ccbe63b | [
"MIT"
] | 7 | 2019-11-13T20:29:54.000Z | 2020-02-26T14:30:54.000Z | modules/module0/02_datastructures_and_geometry/datastructures_0b.py | GeneKao/ITA19 | c4b10dc183599eed4ed60d922b6ef5922d173bdb | [
"MIT"
] | 4 | 2019-11-07T20:57:51.000Z | 2020-03-04T11:43:18.000Z | modules/module0/02_datastructures_and_geometry/datastructures_0b.py | GeneKao/ITA19 | c4b10dc183599eed4ed60d922b6ef5922d173bdb | [
"MIT"
] | 6 | 2019-10-30T13:25:54.000Z | 2020-02-14T14:06:09.000Z | import os
import compas
from compas.datastructures import Mesh
HERE = os.path.dirname(__file__)
DATA = os.path.join(HERE, 'data')
FILE = os.path.join(DATA, 'faces.obj')
mesh = Mesh.from_obj(FILE)
print(mesh.summary())
| 18.416667 | 38 | 0.737557 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0.076923 |
5fbebd443ba2cc788cd34ccb4de7f2967a894072 | 3,957 | py | Python | vis_utils/animation/group_animation_controller.py | eherr/vis_utils | b757b01f42e6da02ad62130c3b0e61e9eaa3886f | [
"MIT"
] | 4 | 2020-05-20T03:55:19.000Z | 2020-12-24T06:33:40.000Z | vis_utils/animation/group_animation_controller.py | eherr/vis_utils | b757b01f42e6da02ad62130c3b0e61e9eaa3886f | [
"MIT"
] | 1 | 2020-05-18T11:21:35.000Z | 2020-07-07T21:25:57.000Z | vis_utils/animation/group_animation_controller.py | eherr/vis_utils | b757b01f42e6da02ad62130c3b0e61e9eaa3886f | [
"MIT"
] | 1 | 2020-07-20T06:57:13.000Z | 2020-07-20T06:57:13.000Z | #!/usr/bin/env python
#
# Copyright 2019 DFKI GmbH.
#
# 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, merg... | 39.57 | 98 | 0.706849 | 2,717 | 0.686631 | 0 | 0 | 0 | 0 | 0 | 0 | 1,235 | 0.312105 |
5fc115feb7229821fab8bd49844fdb6a161d73e2 | 408 | py | Python | deploy/api/src/schemas/koe_favorite_schema.py | bonybody/2020_hew_app | d09cdafd55348ed70424a443d8619114cae3d27f | [
"MIT"
] | 1 | 2021-06-03T02:54:51.000Z | 2021-06-03T02:54:51.000Z | deploy/api/src/schemas/koe_favorite_schema.py | bonybody/agri | d09cdafd55348ed70424a443d8619114cae3d27f | [
"MIT"
] | 19 | 2021-01-01T09:48:51.000Z | 2021-04-08T09:11:30.000Z | deploy/api/src/schemas/koe_favorite_schema.py | bonybody/agri | d09cdafd55348ed70424a443d8619114cae3d27f | [
"MIT"
] | 1 | 2021-09-28T11:54:25.000Z | 2021-09-28T11:54:25.000Z | import sys
import os
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from database.database import ma
from models import KoeFavorite
from .user_schema import UserSchema
from .koe_schema import KoeSchema
class KoeFavoriteSchema(ma.SQLAlchemyAutoSchema):
Koe = ma.Nested(KoeSch... | 25.5 | 77 | 0.742647 | 163 | 0.39951 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5fc3fd1b7cba71af7933022261d214435bda9000 | 2,786 | py | Python | results/baseline/parse_rollout.py | XiaoSanchez/autophase | 3d8d173ad27b9786e36efd22d0ceacbcf1cb1dfb | [
"BSD-3-Clause"
] | 14 | 2020-04-03T12:41:50.000Z | 2022-02-04T00:05:01.000Z | results/baseline/parse_rollout.py | XiaoSanchez/autophase | 3d8d173ad27b9786e36efd22d0ceacbcf1cb1dfb | [
"BSD-3-Clause"
] | 2 | 2020-03-02T04:32:58.000Z | 2021-09-15T20:02:25.000Z | results/baseline/parse_rollout.py | XiaoSanchez/autophase | 3d8d173ad27b9786e36efd22d0ceacbcf1cb1dfb | [
"BSD-3-Clause"
] | 8 | 2020-03-02T10:30:36.000Z | 2021-08-03T02:29:38.000Z | import pickle
import sys
import numpy as np
def geomean(iterable):
a = np.array(iterable).astype(float)
prod = a.prod()
prod = -prod if prod < 0 else prod
return prod**(1.0/len(a))
# Define the valid programs here
def is_valid_pgm(pgm):
pgms = ['471', '4926', '12092', '3449', '4567', '16510', '6118'... | 34.395062 | 401 | 0.623116 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 742 | 0.266332 |
5fc54e77ecccf0f0df60b5cd1eae650a55b8cc8e | 3,349 | py | Python | signatureanalyzer/tests/test_mapping.py | julianhess/getzlab-SignatureAnalyzer | 7f3ce93285c2aaaca88e82fee5a24854c224b453 | [
"MIT"
] | 37 | 2020-01-16T15:00:27.000Z | 2021-08-22T11:18:56.000Z | signatureanalyzer/tests/test_mapping.py | julianhess/getzlab-SignatureAnalyzer | 7f3ce93285c2aaaca88e82fee5a24854c224b453 | [
"MIT"
] | 18 | 2020-01-27T19:04:00.000Z | 2021-09-26T14:19:39.000Z | signatureanalyzer/tests/test_mapping.py | julianhess/getzlab-SignatureAnalyzer | 7f3ce93285c2aaaca88e82fee5a24854c224b453 | [
"MIT"
] | 8 | 2020-07-07T14:05:44.000Z | 2021-07-30T00:44:36.000Z | import unittest
import pandas as pd
import numpy as np
import os
import tempfile
import shutil
from signatureanalyzer.signatureanalyzer import run_spectra
from signatureanalyzer.bnmf import ardnmf
from signatureanalyzer.utils import file_loader
SPECTRA_ARROW = "../../examples/example_luad_spectra_1.tsv"
SPECTRA_WORD ... | 39.869048 | 118 | 0.696327 | 2,933 | 0.875784 | 0 | 0 | 0 | 0 | 0 | 0 | 499 | 0.149 |
5fc5f8dbe2e450d186ac311e88fde09d3e71e36d | 767 | py | Python | src/transformer_utils/util/module_utils.py | cfoster0/transformer-utils | 4e4bc61adb331f90bb2a9a394db07e25eda87555 | [
"MIT"
] | 10 | 2021-07-11T07:32:35.000Z | 2022-02-16T16:46:19.000Z | src/transformer_utils/util/module_utils.py | cfoster0/transformer-utils | 4e4bc61adb331f90bb2a9a394db07e25eda87555 | [
"MIT"
] | null | null | null | src/transformer_utils/util/module_utils.py | cfoster0/transformer-utils | 4e4bc61adb331f90bb2a9a394db07e25eda87555 | [
"MIT"
] | 2 | 2021-05-24T22:50:28.000Z | 2021-09-14T16:14:10.000Z | from .python_utils import make_print_if_verbose
def get_child_module_by_names(module, names):
obj = module
for getter in map(lambda name: lambda obj: getattr(obj, name), names):
obj = getter(obj)
return obj
def get_leaf_modules(module, verbose=False):
vprint = make_print_if_verbose(verbose)
... | 23.96875 | 74 | 0.65189 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0.007823 |
5fc75bc9dcba17efcc6fbd5b1c74a679be2c870d | 32,615 | py | Python | monetio/models/_rrfs_cmaq_mm.py | zmoon/monetio | c8326750fa5d2404ccec726a5088f9a0e7fd4c4a | [
"MIT"
] | 1 | 2022-02-18T22:49:23.000Z | 2022-02-18T22:49:23.000Z | monetio/models/_rrfs_cmaq_mm.py | zmoon/monetio | c8326750fa5d2404ccec726a5088f9a0e7fd4c4a | [
"MIT"
] | null | null | null | monetio/models/_rrfs_cmaq_mm.py | zmoon/monetio | c8326750fa5d2404ccec726a5088f9a0e7fd4c4a | [
"MIT"
] | 1 | 2022-02-04T19:09:32.000Z | 2022-02-04T19:09:32.000Z | """ RRFS-CMAQ File Reader """
import numpy as np
import xarray as xr
from numpy import concatenate
from pandas import Series
def can_do(index):
if index.max():
return True
else:
return False
def open_mfdataset(
fname,
convert_to_ppb=True,
mech="cb6r3_ae6_aq",
var_list=None,
... | 29.569356 | 112 | 0.508079 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14,252 | 0.436977 |
5fc818c5836435c92ae4ef2d17b3e1e01d7c0fde | 816 | bzl | Python | build/build.bzl | abaer123/gitlab-agent | 71c94d781ae2a7ae2851bb946c37fe01b1ed3da0 | [
"MIT"
] | null | null | null | build/build.bzl | abaer123/gitlab-agent | 71c94d781ae2a7ae2851bb946c37fe01b1ed3da0 | [
"MIT"
] | null | null | null | build/build.bzl | abaer123/gitlab-agent | 71c94d781ae2a7ae2851bb946c37fe01b1ed3da0 | [
"MIT"
] | null | null | null | load("@com_github_atlassian_bazel_tools//multirun:def.bzl", "command")
load("@bazel_skylib//lib:shell.bzl", "shell")
def copy_to_workspace(name, label, file_to_copy, workspace_relative_target_directory):
command(
name = name,
command = "//build:copy_to_workspace",
data = [label],
ar... | 37.090909 | 99 | 0.658088 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 315 | 0.386029 |
5fc9836cfddecb88f1956951f281f1c8d40b8f81 | 4,471 | py | Python | CAAPR/CAAPR_AstroMagic/PTS/pts/magic/catalog/catalog.py | wdobbels/CAAPR | 50d0b32642a61af614c22f1c6dc3c4a00a1e71a3 | [
"MIT"
] | 7 | 2016-05-20T21:56:39.000Z | 2022-02-07T21:09:48.000Z | CAAPR/CAAPR_AstroMagic/PTS/pts/magic/catalog/catalog.py | wdobbels/CAAPR | 50d0b32642a61af614c22f1c6dc3c4a00a1e71a3 | [
"MIT"
] | 1 | 2019-03-21T16:10:04.000Z | 2019-03-22T17:21:56.000Z | CAAPR/CAAPR_AstroMagic/PTS/pts/magic/catalog/catalog.py | wdobbels/CAAPR | 50d0b32642a61af614c22f1c6dc3c4a00a1e71a3 | [
"MIT"
] | 1 | 2020-05-19T16:17:17.000Z | 2020-05-19T16:17:17.000Z | #!/usr/bin/env python
# -*- coding: utf8 -*-
# *****************************************************************
# ** PTS -- Python Toolkit for working with SKIRT **
# ** © Astronomical Observatory, Ghent University **
# *****************************************************************
##... | 31.485915 | 97 | 0.547976 | 3,374 | 0.754472 | 0 | 0 | 0 | 0 | 0 | 0 | 2,269 | 0.507379 |
5fcaa9f085f2d78ed188a66c5c69d0728b2a6373 | 2,640 | py | Python | tools/common.py | JamzumSum/yNet | 78506738e64321cfd26f0af70a62dd2119948e39 | [
"MIT"
] | 5 | 2021-06-09T02:11:19.000Z | 2021-10-04T09:00:31.000Z | tools/common.py | JamzumSum/yNet | 78506738e64321cfd26f0af70a62dd2119948e39 | [
"MIT"
] | null | null | null | tools/common.py | JamzumSum/yNet | 78506738e64321cfd26f0af70a62dd2119948e39 | [
"MIT"
] | null | null | null | from dataclasses import dataclass
from typing import Iterable
import torch
from torchmetrics import ConfusionMatrix
from collections import defaultdict
argmax = lambda l: l.index(max(l))
BIRAD_MAP = ['2', '3', '4', '5']
def _lbm():
global BIRAD_MAP
BIRAD_MAP = torch.load("./data/BIRADs/meta.pt")['classname... | 24.220183 | 117 | 0.591667 | 2,277 | 0.861195 | 289 | 0.109304 | 1,441 | 0.545008 | 0 | 0 | 246 | 0.093041 |
5fcb3be04540c3af2931e387575e6b75d7da7f7e | 34,361 | py | Python | quantlib/backends/twn_accelerator/grrules/dporules.py | mdatres/quantlab | 09fb24ede78f49768f829afe0fac2ac291b8fd4f | [
"Apache-2.0"
] | null | null | null | quantlib/backends/twn_accelerator/grrules/dporules.py | mdatres/quantlab | 09fb24ede78f49768f829afe0fac2ac291b8fd4f | [
"Apache-2.0"
] | null | null | null | quantlib/backends/twn_accelerator/grrules/dporules.py | mdatres/quantlab | 09fb24ede78f49768f829afe0fac2ac291b8fd4f | [
"Apache-2.0"
] | 1 | 2022-01-02T10:10:46.000Z | 2022-01-02T10:10:46.000Z | #
# dporules.py
#
# Author(s):
# Matteo Spallanzani <spmatteo@iis.ee.ethz.ch>
#
# Copyright (c) 2020-2021 ETH Zurich.
#
# 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.apach... | 47.723611 | 143 | 0.619831 | 33,064 | 0.962254 | 0 | 0 | 0 | 0 | 0 | 0 | 9,270 | 0.269783 |
5fcc22d5ecaf0da083c5ac9d8ac997e97cc93417 | 5,896 | py | Python | news_api/endpoints/models.py | rdoume/News_API | 9c555fdc5e5b717b98bcfec27364b9612b9c4aa1 | [
"MIT"
] | 9 | 2019-07-19T13:19:55.000Z | 2021-07-08T16:25:30.000Z | news_api/endpoints/models.py | rdoume/News_API | 9c555fdc5e5b717b98bcfec27364b9612b9c4aa1 | [
"MIT"
] | null | null | null | news_api/endpoints/models.py | rdoume/News_API | 9c555fdc5e5b717b98bcfec27364b9612b9c4aa1 | [
"MIT"
] | 1 | 2021-05-12T01:50:04.000Z | 2021-05-12T01:50:04.000Z | # -*- coding: utf-8 -*-
# System imports
import json
# Third-party imports
import falcon
from news_api.endpoints.vespaSearcher import vespaSearch
from news_api.endpoints.top_entities import getTopNewEntities
from news_api.endpoints.top_clusters import getTopNewCluster
# Local imports
# from news_api import settings
... | 35.518072 | 111 | 0.518318 | 5,567 | 0.944199 | 0 | 0 | 1,439 | 0.244064 | 0 | 0 | 1,687 | 0.286126 |
5fcda78cf21f154d5256341e1d4f6994551d5ce9 | 858 | py | Python | exercicio9.py | isaacfelipe1/Estrutura_De_Dados_Um_UEA | 79b693d186154b54b7bb0c2dac10cd4cf9886bb3 | [
"Apache-2.0"
] | null | null | null | exercicio9.py | isaacfelipe1/Estrutura_De_Dados_Um_UEA | 79b693d186154b54b7bb0c2dac10cd4cf9886bb3 | [
"Apache-2.0"
] | null | null | null | exercicio9.py | isaacfelipe1/Estrutura_De_Dados_Um_UEA | 79b693d186154b54b7bb0c2dac10cd4cf9886bb3 | [
"Apache-2.0"
] | null | null | null | #9-Faça um programa que leia um número indeterminado de notas. Após esta entrada de dados, faça seguinte:
#. Mostre a quantidade de notas que foram lidas.
#. Exiba todas as notas na ordem em que foram informadas.
#. Calcule e mostre a média das notas.
#. Calcule e mostre a quantidade de notas acima da média calculada.
... | 35.75 | 105 | 0.708625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 537 | 0.618664 |
5fcddc4097a230efd88262807f43401aaaeff2ab | 257 | py | Python | p5.py | kmark1625/Project-Euler | e80c4f2044fdbff93331117b8f02aa0becbb0706 | [
"MIT"
] | null | null | null | p5.py | kmark1625/Project-Euler | e80c4f2044fdbff93331117b8f02aa0becbb0706 | [
"MIT"
] | null | null | null | p5.py | kmark1625/Project-Euler | e80c4f2044fdbff93331117b8f02aa0becbb0706 | [
"MIT"
] | null | null | null | from fractions import gcd
def smallestDiv():
"""Finds smallest number that is evenly divisible from 1 through 20"""
return reduce(lambda x,y: lcm(x,y), range(1,21))
def lcm(a,b):
return (a*b) / gcd(a,b)
if __name__ == '__main__':
print smallestDiv()
| 21.416667 | 71 | 0.692607 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 0.311284 |
5fcf633d461876ef2ed0512751ad534119c618aa | 1,249 | py | Python | src/resnet_datasize_plot.py | chloechsu/nanoparticle | 5e78fe33c2d562aa31d5e458be0dbf52813f20b1 | [
"MIT"
] | 1 | 2021-04-04T23:07:59.000Z | 2021-04-04T23:07:59.000Z | src/resnet_datasize_plot.py | chloechsu/nanoparticle | 5e78fe33c2d562aa31d5e458be0dbf52813f20b1 | [
"MIT"
] | null | null | null | src/resnet_datasize_plot.py | chloechsu/nanoparticle | 5e78fe33c2d562aa31d5e458be0dbf52813f20b1 | [
"MIT"
] | 3 | 2021-01-13T14:50:42.000Z | 2022-03-20T16:19:52.000Z | import argparse
import csv
import glob
import os
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
sns.set()
shapes = ['TriangPrismIsosc', 'parallelepiped', 'sphere', 'wire']
def main():
trainsizes = []
avg_acc = []
for f in glob.glob('model/resnet18-all-Adam-l... | 29.046512 | 78 | 0.622898 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 244 | 0.195356 |
5fd0efe4c22b97942030348d8ad7858091215264 | 1,482 | py | Python | pyramid_bootstrap/__init__.py | keitheis/pyramid_bootstrap | e8d6e8b9081427bca264d16a679571c35d3527e5 | [
"BSD-3-Clause"
] | null | null | null | pyramid_bootstrap/__init__.py | keitheis/pyramid_bootstrap | e8d6e8b9081427bca264d16a679571c35d3527e5 | [
"BSD-3-Clause"
] | null | null | null | pyramid_bootstrap/__init__.py | keitheis/pyramid_bootstrap | e8d6e8b9081427bca264d16a679571c35d3527e5 | [
"BSD-3-Clause"
] | 1 | 2018-04-12T14:27:52.000Z | 2018-04-12T14:27:52.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = 'Keith Yang'
__email__ = 'yang@keitheis.org'
__version__ = '0.1.0'
from pyramid.settings import asbool
from .bootstrap import BootstrapFactory
def includeme(config):
DEFAULT = {
'versions': '3.0.3',
'use_min_file': True,
'use_c... | 30.244898 | 79 | 0.625506 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 428 | 0.288799 |
5fd224ae58a35451a109abe33921bfe534a36c4b | 3,043 | py | Python | Data Structures/Linked List/Merge Two Sorted Linked Lists/merge_two_sorted_linked_lists.py | brianchiang-tw/HackerRank | 02a30a0033b881206fa15b8d6b4ef99b2dc420c8 | [
"MIT"
] | 2 | 2020-05-28T07:15:00.000Z | 2020-07-21T08:34:06.000Z | Data Structures/Linked List/Merge Two Sorted Linked Lists/merge_two_sorted_linked_lists.py | brianchiang-tw/HackerRank | 02a30a0033b881206fa15b8d6b4ef99b2dc420c8 | [
"MIT"
] | null | null | null | Data Structures/Linked List/Merge Two Sorted Linked Lists/merge_two_sorted_linked_lists.py | brianchiang-tw/HackerRank | 02a30a0033b881206fa15b8d6b4ef99b2dc420c8 | [
"MIT"
] | null | null | null | #!/bin/python3
import math
import os
import random
import re
import sys
class SinglyLinkedListNode:
def __init__(self, node_data):
self.data = node_data
self.next = None
class SinglyLinkedList:
def __init__(self):
self.head = None
self.tail = None
def insert_node(self, no... | 21.58156 | 72 | 0.612882 | 431 | 0.141637 | 0 | 0 | 0 | 0 | 0 | 0 | 643 | 0.211305 |
39563b416a76edc246cc669718217ec4a6dc8d69 | 199 | py | Python | tools/stress_test.py | chouette254/quo | 8979afd118e77d3d0f93f9fbe8711efada7158c5 | [
"MIT"
] | 5 | 2021-06-17T21:06:39.000Z | 2022-03-11T06:45:51.000Z | tools/stress_test.py | chouette254/quo | 8979afd118e77d3d0f93f9fbe8711efada7158c5 | [
"MIT"
] | 39 | 2021-07-19T19:36:18.000Z | 2022-02-23T14:55:08.000Z | tools/stress_test.py | secretuminc/quo | c4f77d52f015c612d32ed0fc2fc79545af598f10 | [
"MIT"
] | 1 | 2021-05-31T17:19:15.000Z | 2021-05-31T17:19:15.000Z | from quo import Console
from quo.pretty import Pretty
from quo.panel import Panel
DATA = "My name is Quo"
console = Console()
for w in range(130):
console.echo(Panel(Pretty(DATA), width=w))
| 15.307692 | 46 | 0.718593 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0.080402 |
3957f752a49e9fed33ab81dcc197e7f08498b9c3 | 4,856 | py | Python | wysihtml5/conf/defaults.py | vkuryachenko/django-wysihtml5 | 5f6fa86ecbfeccfae61b06386f1f6f44dfca94c0 | [
"BSD-2-Clause"
] | 4 | 2015-03-24T20:41:31.000Z | 2021-05-24T15:41:16.000Z | wysihtml5/conf/defaults.py | vkuryachenko/django-wysihtml5 | 5f6fa86ecbfeccfae61b06386f1f6f44dfca94c0 | [
"BSD-2-Clause"
] | 1 | 2017-08-06T18:17:53.000Z | 2017-08-06T18:17:53.000Z | wysihtml5/conf/defaults.py | vkuryachenko/django-wysihtml5 | 5f6fa86ecbfeccfae61b06386f1f6f44dfca94c0 | [
"BSD-2-Clause"
] | 3 | 2015-05-14T15:06:21.000Z | 2021-05-24T15:43:05.000Z | #-*- coding: utf-8 -*-
from django.conf import settings
WYSIHTML5_EDITOR = {
# Give the editor a name, the name will also be set as class
# name on the iframe and on the iframe's body
'name': 'null',
# Whether the editor should look like the textarea (by adopting styles)
'style': 'true',
# Id... | 36.787879 | 76 | 0.635914 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,570 | 0.735173 |
395a96908738ec18c9180da4437fee979a2a2992 | 6,496 | py | Python | protocols/migration/migration_participant_100_to_reports_300.py | Lucioric2000/GelReportModels | 1704cdea3242d5b46c8b81ef46553ccae2799435 | [
"Apache-2.0"
] | 14 | 2016-09-22T10:10:01.000Z | 2020-09-23T11:40:37.000Z | protocols/migration/migration_participant_100_to_reports_300.py | Lucioric2000/GelReportModels | 1704cdea3242d5b46c8b81ef46553ccae2799435 | [
"Apache-2.0"
] | 159 | 2016-09-22T11:08:46.000Z | 2021-09-29T13:55:52.000Z | protocols/migration/migration_participant_100_to_reports_300.py | Lucioric2000/GelReportModels | 1704cdea3242d5b46c8b81ef46553ccae2799435 | [
"Apache-2.0"
] | 17 | 2016-09-20T13:31:58.000Z | 2020-10-19T04:58:19.000Z | from protocols import reports_3_0_0 as participant_old
from protocols import participant_1_0_0
from protocols.migration import BaseMigration
class MigrationParticipants100ToReports(BaseMigration):
old_model = participant_1_0_0
new_model = participant_old
def migrate_pedigree(self, old_instance):
... | 56.982456 | 129 | 0.736761 | 6,352 | 0.977833 | 0 | 0 | 0 | 0 | 0 | 0 | 193 | 0.029711 |
395b088785153a0b12425d78d2c97981d28c0b99 | 584 | py | Python | bluebottle/test/factory_models/pages.py | terrameijar/bluebottle | b4f5ba9c4f03e678fdd36091b29240307ea69ffd | [
"BSD-3-Clause"
] | 10 | 2015-05-28T18:26:40.000Z | 2021-09-06T10:07:03.000Z | bluebottle/test/factory_models/pages.py | terrameijar/bluebottle | b4f5ba9c4f03e678fdd36091b29240307ea69ffd | [
"BSD-3-Clause"
] | 762 | 2015-01-15T10:00:59.000Z | 2022-03-31T15:35:14.000Z | bluebottle/test/factory_models/pages.py | terrameijar/bluebottle | b4f5ba9c4f03e678fdd36091b29240307ea69ffd | [
"BSD-3-Clause"
] | 9 | 2015-02-20T13:19:30.000Z | 2022-03-08T14:09:17.000Z | from builtins import object
from datetime import timedelta
import factory
from django.utils.timezone import now
from bluebottle.pages.models import Page
from .accounts import BlueBottleUserFactory
class PageFactory(factory.DjangoModelFactory):
class Meta(object):
model = Page
language = 'en'
ti... | 27.809524 | 66 | 0.741438 | 382 | 0.65411 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0.05137 |
395bc11ce97e1bb26dff3ffa2dd8e88c133704f6 | 2,403 | py | Python | ietf/ipr/migrations/0007_create_ipr_doc_events.py | hassanakbar4/ietfdb | cabee059092ae776015410640226064331c293b7 | [
"BSD-3-Clause"
] | 25 | 2022-03-05T08:26:52.000Z | 2022-03-30T15:45:42.000Z | ietf/ipr/migrations/0007_create_ipr_doc_events.py | hassanakbar4/ietfdb | cabee059092ae776015410640226064331c293b7 | [
"BSD-3-Clause"
] | 219 | 2022-03-04T17:29:12.000Z | 2022-03-31T21:16:14.000Z | ietf/ipr/migrations/0007_create_ipr_doc_events.py | hassanakbar4/ietfdb | cabee059092ae776015410640226064331c293b7 | [
"BSD-3-Clause"
] | 22 | 2022-03-04T15:34:34.000Z | 2022-03-28T13:30:59.000Z | # Copyright The IETF Trust 2020, All Rights Reserved
# -*- coding: utf-8 -*-
# Generated by Django 1.11.27 on 2020-01-17 12:32
from django.db import migrations
def create_or_delete_ipr_doc_events(apps, delete=False):
"""Create or delete DocEvents for IprEvents
Mostly duplicates IprEvent.create_doc_even... | 34.826087 | 91 | 0.62422 | 289 | 0.120266 | 0 | 0 | 0 | 0 | 0 | 0 | 997 | 0.414898 |
395f29ec9cf26aad90082c0bbf20534ee8f84d4b | 788 | py | Python | getting_setting.py | madhurgupta96/Image-Fundamentals-with-OpenCV | 890fcce30155e98ab66e206c3511d77040570ec5 | [
"Apache-2.0"
] | null | null | null | getting_setting.py | madhurgupta96/Image-Fundamentals-with-OpenCV | 890fcce30155e98ab66e206c3511d77040570ec5 | [
"Apache-2.0"
] | null | null | null | getting_setting.py | madhurgupta96/Image-Fundamentals-with-OpenCV | 890fcce30155e98ab66e206c3511d77040570ec5 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Tue Dec 15 23:52:04 2020
@author: Madhur Gupta
"""
from __future__ import print_function
import cv2
import argparse
ap=argparse.ArgumentParser()
ap.add_argument('-i','--image',required=True,help='path to image')
args=vars(ap.parse_args())
image=cv2.imread(args['... | 22.514286 | 71 | 0.619289 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 316 | 0.401015 |
395f4cf60fb9e63158d7823964bdae4a063e3899 | 665 | py | Python | zk_shell/tests/test_acl_reader.py | sellers/zk_shell | 5f5972c4362212f97de91a75e44d2a551c7bcd51 | [
"Apache-2.0"
] | 163 | 2015-01-24T06:17:34.000Z | 2021-12-17T22:58:46.000Z | zk_shell/tests/test_acl_reader.py | sellers/zk_shell | 5f5972c4362212f97de91a75e44d2a551c7bcd51 | [
"Apache-2.0"
] | 86 | 2015-01-01T00:22:57.000Z | 2022-03-02T14:50:59.000Z | zk_shell/tests/test_acl_reader.py | sellers/zk_shell | 5f5972c4362212f97de91a75e44d2a551c7bcd51 | [
"Apache-2.0"
] | 32 | 2015-02-18T17:33:16.000Z | 2021-12-28T03:43:45.000Z | # -*- coding: utf-8 -*-
""" ACLReader test cases """
import unittest
from kazoo.security import ACL, Id
from zk_shell.acl import ACLReader
class ACLReaderTestCase(unittest.TestCase):
""" test watcher """
def test_extract_acl(self):
acl = ACLReader.extract_acl('world:anyone:cdrwa')
expected... | 28.913043 | 97 | 0.685714 | 519 | 0.780451 | 0 | 0 | 0 | 0 | 0 | 0 | 187 | 0.281203 |
395f821293e57d64e71d8ac788f63dcdb5e4e300 | 3,815 | py | Python | dictator/validators/base.py | brunosmmm/dictator | 60314734b9d0c378fad77d296c8946165f372400 | [
"MIT"
] | null | null | null | dictator/validators/base.py | brunosmmm/dictator | 60314734b9d0c378fad77d296c8946165f372400 | [
"MIT"
] | null | null | null | dictator/validators/base.py | brunosmmm/dictator | 60314734b9d0c378fad77d296c8946165f372400 | [
"MIT"
] | null | null | null | """Base validators."""
import re
from dictator.errors import ValidationError
from dictator.validators import Validator
from typing import Type, Callable, Any, Tuple, Union
HEX_REGEX = re.compile(r"^(0x)?([0-9A-Fa-f]+)$")
BIN_REGEX = re.compile(r"^(0b)?([0-1]+)$")
class ValidateType(Validator):
"""Type validator... | 27.644928 | 79 | 0.654522 | 1,477 | 0.387156 | 0 | 0 | 115 | 0.030144 | 0 | 0 | 1,036 | 0.27156 |
3960d947244ab5cacdb399b505a02597c36f0c4b | 554 | py | Python | copasi_test/ReportParserMoieties.py | copasi/python-copasi-testsuite | 604ce52f95b4a0e2631712b22c331cd8c263bd05 | [
"Artistic-2.0"
] | null | null | null | copasi_test/ReportParserMoieties.py | copasi/python-copasi-testsuite | 604ce52f95b4a0e2631712b22c331cd8c263bd05 | [
"Artistic-2.0"
] | null | null | null | copasi_test/ReportParserMoieties.py | copasi/python-copasi-testsuite | 604ce52f95b4a0e2631712b22c331cd8c263bd05 | [
"Artistic-2.0"
] | null | null | null | from .ReportParser import ReportParser
class ReportParserMoieties(ReportParser):
def __init__(self):
ReportParser.__init__(self)
def parseLines(self, lines):
# type: ([str]) -> None
current = self.skip_until(lines, 0, 'Link matrix(ann)')
if current == -1:
return
... | 29.157895 | 71 | 0.628159 | 512 | 0.924188 | 0 | 0 | 0 | 0 | 0 | 0 | 61 | 0.110108 |
396297e39e5a9bcc3e2b8459e2edf7a1785fe3e7 | 1,575 | py | Python | models/networks/recurrent/encoder.py | jamesoneill12/LayerFusion | 99cba1030ed8c012a453bc7715830fc99fb980dc | [
"Apache-2.0"
] | null | null | null | models/networks/recurrent/encoder.py | jamesoneill12/LayerFusion | 99cba1030ed8c012a453bc7715830fc99fb980dc | [
"Apache-2.0"
] | null | null | null | models/networks/recurrent/encoder.py | jamesoneill12/LayerFusion | 99cba1030ed8c012a453bc7715830fc99fb980dc | [
"Apache-2.0"
] | null | null | null | import torch.nn as nn
import torch
class EncoderRNN(nn.Module):
def __init__(self, vocab_size, hidden_size, nlayers=2):
super(EncoderRNN, self).__init__()
self.nlayers = nlayers
self.hidden_size = hidden_size
self.embedding = nn.Embedding(vocab_size, hidden_size)
self.gru ... | 35 | 109 | 0.670476 | 826 | 0.524444 | 0 | 0 | 0 | 0 | 0 | 0 | 909 | 0.577143 |
396309f795615e199934ec29198bf8e06add077e | 1,087 | py | Python | relationship_classifiction/test.py | suolyer/PyTorch_BERT_Pipeline_IE | 869a1fc937e268a565f5b30a2105a460b4e07f59 | [
"MIT"
] | 8 | 2021-05-23T02:04:09.000Z | 2022-01-14T08:58:42.000Z | relationship_classifiction/test.py | 2019hong/PyTorch_BERT_Pipeline_IE | 9ee66bc9ceaed42e996e9b2414612de3fc0b23bb | [
"MIT"
] | 2 | 2021-05-14T00:34:45.000Z | 2021-08-08T08:36:33.000Z | relationship_classifiction/test.py | 2019hong/PyTorch_BERT_Pipeline_IE | 9ee66bc9ceaed42e996e9b2414612de3fc0b23bb | [
"MIT"
] | 1 | 2021-09-28T15:15:44.000Z | 2021-09-28T15:15:44.000Z |
import torch
import torch.nn as nn
from torch.optim.lr_scheduler import CosineAnnealingLR, CosineAnnealingWarmRestarts
import itertools
import matplotlib.pyplot as plt
initial_lr = 0.1
class model(nn.Module):
def __init__(self):
super().__init__()
self.conv1 = nn.Conv2d(in_channels=3, out_c... | 24.155556 | 83 | 0.689052 | 192 | 0.164807 | 0 | 0 | 0 | 0 | 0 | 0 | 217 | 0.186266 |
39637ce1898c8dbfd20a89d25579fc15ae6c2bcd | 432 | py | Python | events_calendar/urls.py | mkbeh/Site-Nordic-Walking- | ba98f41db09ed448ecc4db175f65ef4fa2d64979 | [
"MIT"
] | null | null | null | events_calendar/urls.py | mkbeh/Site-Nordic-Walking- | ba98f41db09ed448ecc4db175f65ef4fa2d64979 | [
"MIT"
] | 8 | 2021-04-08T21:57:55.000Z | 2022-03-12T00:50:38.000Z | events_calendar/urls.py | mkbeh/Site-Nordic-Walking- | ba98f41db09ed448ecc4db175f65ef4fa2d64979 | [
"MIT"
] | null | null | null | from django.urls import path
from .views import events_calendar, calendar_event_detail, past_competitions
app_name = 'events_calendar'
urlpatterns = [
path('past_competitions/', past_competitions, name='past_competitions'),
path('<int:year>/<int:month>/<int:day>/<int:hour>/<slug:event>/',
calendar_... | 30.857143 | 76 | 0.733796 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 167 | 0.386574 |
39642b71284a9db7523df49c8dca22286f61d556 | 1,236 | py | Python | examples/linear_regression/01_linear_regression.py | zhaoshiying97/trading_gym | d4af8d724efa17420e6ebb430f6f9d4f08c6f83a | [
"Apache-2.0"
] | 32 | 2019-12-06T19:23:51.000Z | 2022-03-08T06:08:58.000Z | examples/linear_regression/01_linear_regression.py | zhaoshiying97/trading_gym | d4af8d724efa17420e6ebb430f6f9d4f08c6f83a | [
"Apache-2.0"
] | 2 | 2020-02-20T11:04:07.000Z | 2020-03-12T08:47:54.000Z | examples/linear_regression/01_linear_regression.py | zhaoshiying97/trading_gym | d4af8d724efa17420e6ebb430f6f9d4f08c6f83a | [
"Apache-2.0"
] | 15 | 2019-12-12T07:43:34.000Z | 2022-03-06T13:02:39.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import pdb
import numpy as np
import pandas as pd
from sklearn.linear_model import LinearRegression
from trading_gym.utils.data.toy import create_toy_data
from trading_gym.envs.portfolio_gym.portfolio_gym import PortfolioTradingGym
order_book_id_number = 100
toy_data = cr... | 30.9 | 142 | 0.741909 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 157 | 0.127023 |
3965e8f70ee4cbba8c4a1ffa659f82e9962bbdcf | 619 | py | Python | migrations/versions/6f98e24760d_session_speaker.py | jace/goafunnel | 5ff25f0e6a247ff1f6e87fce2a793d1775476cc0 | [
"BSD-2-Clause"
] | null | null | null | migrations/versions/6f98e24760d_session_speaker.py | jace/goafunnel | 5ff25f0e6a247ff1f6e87fce2a793d1775476cc0 | [
"BSD-2-Clause"
] | null | null | null | migrations/versions/6f98e24760d_session_speaker.py | jace/goafunnel | 5ff25f0e6a247ff1f6e87fce2a793d1775476cc0 | [
"BSD-2-Clause"
] | null | null | null | """session speaker
Revision ID: 6f98e24760d
Revises: 58588eba8cb8
Create Date: 2013-11-22 17:28:47.751025
"""
# revision identifiers, used by Alembic.
revision = '6f98e24760d'
down_revision = '58588eba8cb8'
from alembic import op
import sqlalchemy as sa
def upgrade():
### commands auto generated by Alembic - ... | 22.925926 | 89 | 0.6979 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 388 | 0.626817 |
39671833a02d25c6d6b9a61a074e54f03e6112e8 | 1,124 | py | Python | decision_tree/dt_author_id.py | ncfausti/udacity-machine-learning | 223eb1821e739d048d278629a2e466b3f2af8912 | [
"MIT"
] | null | null | null | decision_tree/dt_author_id.py | ncfausti/udacity-machine-learning | 223eb1821e739d048d278629a2e466b3f2af8912 | [
"MIT"
] | null | null | null | decision_tree/dt_author_id.py | ncfausti/udacity-machine-learning | 223eb1821e739d048d278629a2e466b3f2af8912 | [
"MIT"
] | null | null | null | #!/usr/bin/python
"""
this is the code to accompany the Lesson 3 (decision tree) mini-project
use an DT to identify emails from the Enron corpus by their authors
Sara has label 0
Chris has label 1
"""
import sys
from time import time
sys.path.append("../tools/")
from email_preprocess impor... | 24.434783 | 75 | 0.674377 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 585 | 0.520463 |
3968419bade051f1706f219d6c57e614a8cbfb88 | 49,588 | py | Python | climateeconomics/tests/_l1_test_energy_global_values.py | os-climate/witness-core | 3ef9a44d86804c5ad57deec3c9916348cb3bfbb8 | [
"MIT",
"Apache-2.0",
"BSD-3-Clause"
] | 1 | 2022-01-14T06:37:42.000Z | 2022-01-14T06:37:42.000Z | climateeconomics/tests/_l1_test_energy_global_values.py | os-climate/witness-core | 3ef9a44d86804c5ad57deec3c9916348cb3bfbb8 | [
"MIT",
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | climateeconomics/tests/_l1_test_energy_global_values.py | os-climate/witness-core | 3ef9a44d86804c5ad57deec3c9916348cb3bfbb8 | [
"MIT",
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | '''
mode: python; py-indent-offset: 4; tab-width: 4; coding: utf-8
Copyright (C) 2020 Airbus SAS
'''
import unittest
import time
import numpy as np
import pandas as pd
from sos_trades_core.execution_engine.execution_engine import ExecutionEngine
from climateeconomics.sos_processes.iam.witness.witness_dev.usecase_witnes... | 47.680769 | 304 | 0.638239 | 49,047 | 0.98909 | 0 | 0 | 0 | 0 | 0 | 0 | 28,559 | 0.575926 |
396aa7d766efce4140f100be9476c86629b27ef9 | 11,383 | py | Python | bmtk/simulator/bionet/modules/save_synapses.py | tjbanks/bmtk | 52fee3b230ceb14a666c46f57f2031c38f1ac5b1 | [
"BSD-3-Clause"
] | 1 | 2019-03-27T12:23:09.000Z | 2019-03-27T12:23:09.000Z | bmtk/simulator/bionet/modules/save_synapses.py | tjbanks/bmtk | 52fee3b230ceb14a666c46f57f2031c38f1ac5b1 | [
"BSD-3-Clause"
] | null | null | null | bmtk/simulator/bionet/modules/save_synapses.py | tjbanks/bmtk | 52fee3b230ceb14a666c46f57f2031c38f1ac5b1 | [
"BSD-3-Clause"
] | null | null | null | import os
import csv
import h5py
import numpy as np
from neuron import h
from .sim_module import SimulatorMod
from bmtk.simulator.bionet.biocell import BioCell
from bmtk.simulator.bionet.io_tools import io
from bmtk.simulator.bionet.pointprocesscell import PointProcessCell
pc = h.ParallelContext()
MPI_RANK = int(pc.... | 48.233051 | 139 | 0.598876 | 11,025 | 0.96855 | 0 | 0 | 0 | 0 | 0 | 0 | 1,474 | 0.129491 |
396b128eaea90d279b0b41fb297fa2fa82ed6d87 | 1,930 | py | Python | nanome/api/user/presenter_info.py | nanome-ai/nanome-plugin-api | f2ce6a5e3123ee7449a90c2659f3891124289f4a | [
"MIT"
] | 3 | 2020-07-02T13:08:27.000Z | 2021-11-24T14:32:53.000Z | nanome/api/user/presenter_info.py | nanome-ai/nanome-plugin-api | f2ce6a5e3123ee7449a90c2659f3891124289f4a | [
"MIT"
] | 11 | 2020-09-14T17:01:47.000Z | 2022-02-18T04:00:52.000Z | nanome/api/user/presenter_info.py | nanome-ai/nanome-plugin-api | f2ce6a5e3123ee7449a90c2659f3891124289f4a | [
"MIT"
] | 5 | 2020-08-12T16:30:03.000Z | 2021-12-06T18:04:23.000Z | class PresenterInfo():
"""
| Class to fetch information about the current nanome session's presenter.
"""
def __init__(self):
self._account_id = ""
self._account_name = ""
self._account_email = ""
self._has_org = False
self._org_id = 0
self._org_name = ""... | 21.208791 | 78 | 0.564249 | 1,929 | 0.999482 | 0 | 0 | 1,537 | 0.796373 | 0 | 0 | 695 | 0.360104 |
396be9b8e76a36fa6d51ae0f674f69f4c1dcf376 | 1,217 | py | Python | pydouyu/packet_util.py | Kexiii/pydouyu | 494732159980b7b71575e6757899c48052c6c2e0 | [
"MIT"
] | 11 | 2019-02-22T01:02:32.000Z | 2021-12-15T08:50:26.000Z | pydouyu/packet_util.py | Kexiii/pydouyu | 494732159980b7b71575e6757899c48052c6c2e0 | [
"MIT"
] | 2 | 2020-07-05T01:26:18.000Z | 2021-01-07T15:22:57.000Z | pydouyu/packet_util.py | Kexiii/pydouyu | 494732159980b7b71575e6757899c48052c6c2e0 | [
"MIT"
] | 3 | 2019-04-23T01:22:20.000Z | 2021-12-04T09:09:16.000Z | import time
client_msg_type = 689
reserved_data_field = 0
def assemble_login_str(room_id):
res = "type@=loginreq/roomid@=" + str(room_id) + "/"
return res
def assemble_join_group_str(room_id):
res = "type@=joingroup/rid@=" + str(room_id) + "/gid@=-9999/";
return res
def assemble_heartbeat_str():
... | 23.403846 | 66 | 0.632703 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 162 | 0.133114 |
396d4f672042b6ba26b0ebbbfccf8610a433735a | 2,976 | py | Python | scripts/staging/sklearn/mappers/supervised.py | mgd-hin/systemds | 08944a7305cbc4f4d9cbbd4565efa8bcc93b82e3 | [
"Apache-2.0"
] | 372 | 2017-06-09T01:02:53.000Z | 2020-06-24T05:45:00.000Z | scripts/staging/sklearn/mappers/supervised.py | ywcb00/systemds | 5cc523971854cdf4f22e6199987a86e213fae4e2 | [
"Apache-2.0"
] | 418 | 2017-06-08T16:27:44.000Z | 2020-06-25T12:15:54.000Z | scripts/staging/sklearn/mappers/supervised.py | ywcb00/systemds | 5cc523971854cdf4f22e6199987a86e213fae4e2 | [
"Apache-2.0"
] | 190 | 2017-06-08T19:32:54.000Z | 2020-06-15T12:26:12.000Z | # -------------------------------------------------------------
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you unde... | 33.438202 | 80 | 0.576277 | 2,024 | 0.680108 | 0 | 0 | 0 | 0 | 0 | 0 | 1,517 | 0.509745 |
396e8a1e3e6aa7c66751f496564ba6b53523d4aa | 43 | py | Python | homemade_steganog/__init__.py | zoomie/homemade_steganog | 1ab0a140b6a2e0d9d36073d067a2c808c97adf38 | [
"MIT"
] | 1 | 2019-03-12T13:25:43.000Z | 2019-03-12T13:25:43.000Z | homemade_steganog/__init__.py | zoomie/homemade_encryption | 1ab0a140b6a2e0d9d36073d067a2c808c97adf38 | [
"MIT"
] | 4 | 2020-03-24T16:43:01.000Z | 2022-03-11T23:39:53.000Z | homemade_steganog/__init__.py | zoomie/homemade_encryption | 1ab0a140b6a2e0d9d36073d067a2c808c97adf38 | [
"MIT"
] | null | null | null | from .home import Steg
__all__ = ['Steg',] | 14.333333 | 22 | 0.674419 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0.139535 |
396fa59895ef035568d0b517a96fd649c4c2ec84 | 4,364 | py | Python | xyw_macro/win32.py | xue0228/keyboard | dcb0def1d87a9197676c0f405b980a67e128ab24 | [
"MIT"
] | null | null | null | xyw_macro/win32.py | xue0228/keyboard | dcb0def1d87a9197676c0f405b980a67e128ab24 | [
"MIT"
] | null | null | null | xyw_macro/win32.py | xue0228/keyboard | dcb0def1d87a9197676c0f405b980a67e128ab24 | [
"MIT"
] | null | null | null | import ctypes
from ctypes import wintypes, windll
import win32api
import win32con
import win32gui
# PUL = ctypes.POINTER(ctypes.c_ulong)
PUL = ctypes.c_void_p
class KeyBdMsg(ctypes.Structure):
"""
键盘回调函数用结构体
"""
_fields_ = [
('vkCode', wintypes.DWORD),
('scanCode', wintypes.DWORD),
... | 21.82 | 68 | 0.632676 | 1,845 | 0.39866 | 0 | 0 | 0 | 0 | 0 | 0 | 820 | 0.177182 |
397163cbc30071660c1df03a91c22f9cdffa46d3 | 496 | py | Python | helpdesk/simple/views.py | fratoj/helpdesk | 302c41491f26432bd65e468f015cdb123a47bcad | [
"MIT"
] | null | null | null | helpdesk/simple/views.py | fratoj/helpdesk | 302c41491f26432bd65e468f015cdb123a47bcad | [
"MIT"
] | 4 | 2021-04-08T21:51:21.000Z | 2021-06-10T20:21:24.000Z | helpdesk/simple/views.py | fratoj/helpdesk | 302c41491f26432bd65e468f015cdb123a47bcad | [
"MIT"
] | null | null | null | from django.shortcuts import render
import numpy as np
def index(request):
return render(request, 'simple/index.html')
def room(request, room_name):
safe = np.random.normal(size=20, loc=0, scale=1)
return render(request, 'simple/room.html', {
'room_name': room_name,
'some_thing': {
... | 21.565217 | 52 | 0.59879 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 106 | 0.21371 |
397474e797b04315ff3ee3188dba1be27f9df132 | 752 | py | Python | fullthrottleapp/models.py | Pranjali16/FullThrottle-Project | bb6fbd3783d22c2e47ad85687e18f02a30c69799 | [
"Apache-2.0"
] | null | null | null | fullthrottleapp/models.py | Pranjali16/FullThrottle-Project | bb6fbd3783d22c2e47ad85687e18f02a30c69799 | [
"Apache-2.0"
] | null | null | null | fullthrottleapp/models.py | Pranjali16/FullThrottle-Project | bb6fbd3783d22c2e47ad85687e18f02a30c69799 | [
"Apache-2.0"
] | null | null | null | from django.db import models
from django.contrib.auth.models import AbstractBaseUser
class User(AbstractBaseUser, models.Model):
"""User Model"""
name = models.CharField(max_length=500, blank=True, null=True)
tz = models.CharField(max_length=500, blank=True, null=True)
USERNAME_FIELD = 'name... | 34.181818 | 91 | 0.679521 | 653 | 0.868351 | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 0.086436 |
3974ecf545e9249007cc970e291df529ea220e8f | 83 | py | Python | devind_helpers/validator/__init__.py | devind-team/devind-django-helpers | 5c64d46a12802bbe0b70e44aa9d19bf975511b6e | [
"MIT"
] | null | null | null | devind_helpers/validator/__init__.py | devind-team/devind-django-helpers | 5c64d46a12802bbe0b70e44aa9d19bf975511b6e | [
"MIT"
] | 4 | 2022-02-18T09:24:05.000Z | 2022-03-31T16:46:29.000Z | devind_helpers/validator/__init__.py | devind-team/devind-django-helpers | 5c64d46a12802bbe0b70e44aa9d19bf975511b6e | [
"MIT"
] | null | null | null | from .validators import Validator, BaseRule
__all__ = ('Validator', 'BaseRule',)
| 16.6 | 43 | 0.73494 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0.253012 |