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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
35c0ed329cd7d8d2056b7e34556321128f797142 | 1,457 | py | Python | torch3d/models/pointnet2.py | zhangmozhe/torch3d | d47e9b243e520f9c0c72a26c271d2c7ad242cb65 | [
"BSD-3-Clause"
] | null | null | null | torch3d/models/pointnet2.py | zhangmozhe/torch3d | d47e9b243e520f9c0c72a26c271d2c7ad242cb65 | [
"BSD-3-Clause"
] | null | null | null | torch3d/models/pointnet2.py | zhangmozhe/torch3d | d47e9b243e520f9c0c72a26c271d2c7ad242cb65 | [
"BSD-3-Clause"
] | 1 | 2020-06-03T15:19:25.000Z | 2020-06-03T15:19:25.000Z | import torch
import torch.nn as nn
from torch3d.nn import SetAbstraction
| 35.536585 | 184 | 0.59094 |
35c12c665a38adb43714ee6a7e812bc5fee89003 | 325 | py | Python | tests/test_engine.py | znhv/winsio | 4d4e69961285ea3dcebc5ad6358e2d753d6b4f9d | [
"MIT"
] | null | null | null | tests/test_engine.py | znhv/winsio | 4d4e69961285ea3dcebc5ad6358e2d753d6b4f9d | [
"MIT"
] | null | null | null | tests/test_engine.py | znhv/winsio | 4d4e69961285ea3dcebc5ad6358e2d753d6b4f9d | [
"MIT"
] | null | null | null | import unittest.mock as mock
import pytest
from brainstorm.scripts import engine
from brainstorm.games import calc
# def test_player_ready(monkeypatch):
# with monkeypatch.context() as m:
# m.setattr('builtins.input', lambda prompt="": "y")
# result = engine.player_ready()
# assert result is ... | 25 | 60 | 0.707692 |
35c16cadc73c78b1e8e17420e27d77517793b258 | 1,328 | py | Python | Day01.py | peiliming007/PythonByJoker | f457706bcdc43c8743dd88a210c5ca0b28aabd21 | [
"Apache-2.0"
] | null | null | null | Day01.py | peiliming007/PythonByJoker | f457706bcdc43c8743dd88a210c5ca0b28aabd21 | [
"Apache-2.0"
] | null | null | null | Day01.py | peiliming007/PythonByJoker | f457706bcdc43c8743dd88a210c5ca0b28aabd21 | [
"Apache-2.0"
] | null | null | null | #1
celsius=float(input(":>>"))
fahrenheit=(9 / 5) *celsius + 32
print("%.1f" % fahrenheit)
#2
radius=float(input(":>>"))
length=float(input(":>>"))
area= radius*radius*3.14159265
volume=area*length
print("The area is %.4f" % area )
print("The volume is %.1f" % volume)
#3
feet=float(input(":>>"))
me... | 21.419355 | 65 | 0.637048 |
35c4595b0ebd1fa1dbe98d7023f5193c7b298c15 | 5,595 | py | Python | botx/bots/bots.py | ExpressApp/pybotx | 97c8b1ce5d45a05567ed01d545cb43174a2dcbb9 | [
"MIT"
] | 13 | 2021-01-21T12:43:10.000Z | 2022-03-23T11:11:59.000Z | botx/bots/bots.py | ExpressApp/pybotx | 97c8b1ce5d45a05567ed01d545cb43174a2dcbb9 | [
"MIT"
] | 259 | 2020-02-26T08:51:03.000Z | 2022-03-23T11:08:36.000Z | botx/bots/bots.py | ExpressApp/pybotx | 97c8b1ce5d45a05567ed01d545cb43174a2dcbb9 | [
"MIT"
] | 5 | 2019-12-02T16:19:22.000Z | 2021-11-22T20:33:34.000Z | """Implementation for bot classes."""
import asyncio
from dataclasses import InitVar, field
from typing import Any, Callable, Dict, List
from weakref import WeakSet
from loguru import logger
from pydantic.dataclasses import dataclass
from botx import concurrency, exception_handlers, exceptions, shared, typing
from b... | 36.331169 | 87 | 0.648794 |
35c7b5af3988bd0290ffa3910c3ac39d7b3a8d95 | 4,242 | py | Python | orka_inventory.py | jeff-vincent/orka-ansible-dynamic-inventory | 0a0e19597d5cd06e6bb0214a96826376dca76a1e | [
"MIT"
] | null | null | null | orka_inventory.py | jeff-vincent/orka-ansible-dynamic-inventory | 0a0e19597d5cd06e6bb0214a96826376dca76a1e | [
"MIT"
] | null | null | null | orka_inventory.py | jeff-vincent/orka-ansible-dynamic-inventory | 0a0e19597d5cd06e6bb0214a96826376dca76a1e | [
"MIT"
] | 1 | 2022-01-05T20:31:53.000Z | 2022-01-05T20:31:53.000Z | #!/usr/bin/python3
import argparse
import json
import os
import subprocess
if __name__ == '__main__':
args = parse_args()
name_contains = os.environ.get('ANSIBLE_NAME_CONTAINS')
main(args, name_contains)
| 32.883721 | 99 | 0.610797 |
35c890b336369e56ae920d6e9a1f19392e8e1399 | 8,647 | py | Python | tests/test_release_summary.py | kids-first/kf-task-release-reports | 6c973fc82b7dab89c45832dd0b61a1ef85a5ebf7 | [
"Apache-2.0"
] | null | null | null | tests/test_release_summary.py | kids-first/kf-task-release-reports | 6c973fc82b7dab89c45832dd0b61a1ef85a5ebf7 | [
"Apache-2.0"
] | 11 | 2018-10-26T17:09:17.000Z | 2019-09-23T14:53:53.000Z | tests/test_release_summary.py | kids-first/kf-task-release-reports | 6c973fc82b7dab89c45832dd0b61a1ef85a5ebf7 | [
"Apache-2.0"
] | null | null | null | import boto3
import datetime
import requests
import pytest
from unittest.mock import patch
from reports.reporting import release_summary
from collections import Counter
from functools import partial
ENTITIES = [
'participants',
'biospecimens',
'phenotypes',
'genomic-files',
'study-files',
'rea... | 35.731405 | 77 | 0.663814 |
35cadb5be4b90796980534e95cf42d32733a5cb1 | 875 | py | Python | apps/payroll/models/employee.py | youssriaboelseod/pyerp | 9ef9873e2ff340010656f0c518bccf9d7a14dbaa | [
"MIT"
] | 115 | 2019-08-18T16:12:54.000Z | 2022-03-29T14:17:20.000Z | apps/payroll/models/employee.py | youssriaboelseod/pyerp | 9ef9873e2ff340010656f0c518bccf9d7a14dbaa | [
"MIT"
] | 22 | 2019-09-09T01:34:54.000Z | 2022-03-12T00:33:40.000Z | apps/payroll/models/employee.py | youssriaboelseod/pyerp | 9ef9873e2ff340010656f0c518bccf9d7a14dbaa | [
"MIT"
] | 83 | 2019-08-17T17:09:20.000Z | 2022-03-25T04:46:53.000Z | # Django Library
from django.contrib.auth.models import User
from django.db import models
from django.urls import reverse
from django.utils.translation import ugettext_lazy as _
# Thirdparty Library
from apps.base.models import PyFather
# Tabla de Empleados
| 35 | 80 | 0.742857 |
35cba22e1908f51ae40f6b613a82f59b7cb71986 | 89 | py | Python | apps/players/apps.py | xeroz/admin-django | e10c5eb87f9aea7a714e5be2307969a3b998706c | [
"MIT"
] | 12 | 2018-03-20T21:38:53.000Z | 2021-10-31T10:00:12.000Z | apps/players/apps.py | xeroz/admin-django | e10c5eb87f9aea7a714e5be2307969a3b998706c | [
"MIT"
] | 79 | 2018-03-18T14:26:47.000Z | 2022-03-01T15:51:40.000Z | apps/players/apps.py | xeroz/admin-django | e10c5eb87f9aea7a714e5be2307969a3b998706c | [
"MIT"
] | 4 | 2018-05-18T15:39:56.000Z | 2020-10-29T09:28:41.000Z | from django.apps import AppConfig
| 14.833333 | 33 | 0.752809 |
35cbb4dfe9729e65b9b76b8a0c6acb3a8449dd0a | 8,063 | py | Python | tas/__main__.py | lispsil/tas | cccc48b3de23050acd094d62b9dae9ff2db81ca8 | [
"MIT"
] | 1 | 2020-03-12T15:29:41.000Z | 2020-03-12T15:29:41.000Z | tas/__main__.py | lispsil/tas | cccc48b3de23050acd094d62b9dae9ff2db81ca8 | [
"MIT"
] | null | null | null | tas/__main__.py | lispsil/tas | cccc48b3de23050acd094d62b9dae9ff2db81ca8 | [
"MIT"
] | 1 | 2021-10-10T18:21:24.000Z | 2021-10-10T18:21:24.000Z | import os
import signal
import atexit
import json
import time
from pathlib import Path
import subprocess
import argparse
import pprint
from distutils.util import strtobool
children_pid = []
cmd_parser = argparse.ArgumentParser(add_help=False)
cmd_parser.add_argument(
"cmd", type=str, choices=["new", "del", "run"... | 36.156951 | 87 | 0.549423 |
35cc4a008448b3ebfc8b1a072bfd124465d46230 | 2,410 | py | Python | 1._metis_models_and_data_2019-12-16b/METIS source code/Indicators/kpis/Transmission usage.py | tamas-borbath/METIS | cf3dc0f0f96ccb6ad72ddf15ba7e31ddc6339036 | [
"CC-BY-4.0"
] | 1 | 2021-12-07T09:05:48.000Z | 2021-12-07T09:05:48.000Z | 1._metis_models_and_data_2019-12-16b/METIS source code/Indicators/kpis/Transmission usage.py | tamas-borbath/METIS_data_and_scripts | cf3dc0f0f96ccb6ad72ddf15ba7e31ddc6339036 | [
"CC-BY-4.0"
] | null | null | null | 1._metis_models_and_data_2019-12-16b/METIS source code/Indicators/kpis/Transmission usage.py | tamas-borbath/METIS_data_and_scripts | cf3dc0f0f96ccb6ad72ddf15ba7e31ddc6339036 | [
"CC-BY-4.0"
] | null | null | null | ########################################################
# Copyright (c) 2015-2017 by European Commission. #
# All Rights Reserved. #
########################################################
extends("BaseKPI.py")
"""
Transmission usage (%)
----------------------
Indexed by
* sco... | 41.551724 | 209 | 0.734855 |
35cc8dce8cfa78125ee76beb2078c100cbc1294f | 672 | py | Python | apps/bloguser/migrations/0003_auto_20180505_1717.py | dryprojects/MyBlog | ec04ba2bc658e96cddeb1d4766047ca8e89ff656 | [
"BSD-3-Clause"
] | 2 | 2021-08-17T13:29:21.000Z | 2021-09-04T05:00:01.000Z | apps/bloguser/migrations/0003_auto_20180505_1717.py | dryprojects/MyBlog | ec04ba2bc658e96cddeb1d4766047ca8e89ff656 | [
"BSD-3-Clause"
] | 1 | 2020-07-16T11:22:32.000Z | 2020-07-16T11:22:32.000Z | apps/bloguser/migrations/0003_auto_20180505_1717.py | dryprojects/MyBlog | ec04ba2bc658e96cddeb1d4766047ca8e89ff656 | [
"BSD-3-Clause"
] | 1 | 2020-09-18T10:41:59.000Z | 2020-09-18T10:41:59.000Z | # Generated by Django 2.0.3 on 2018-05-05 17:17
from django.db import migrations, models
| 28 | 135 | 0.610119 |
35ccd2a1b21c453583e810926aac3c4fcc8ecf4b | 10,808 | py | Python | qrcodescanner.py | globophobe/pygame-qrcode-demo | 3a375b4e658712fed56df0005314bdd0d92ccfff | [
"MIT"
] | 3 | 2015-04-08T12:54:06.000Z | 2016-08-13T04:32:40.000Z | qrcodescanner.py | globophobe/qrcodescanner-base | 3a375b4e658712fed56df0005314bdd0d92ccfff | [
"MIT"
] | null | null | null | qrcodescanner.py | globophobe/qrcodescanner-base | 3a375b4e658712fed56df0005314bdd0d92ccfff | [
"MIT"
] | 3 | 2018-01-16T02:49:18.000Z | 2019-05-21T19:52:34.000Z | # -*- coding: utf-8 -*-
import os
import datetime
import logging
import requests
import numpy
import cv2
import zbar
from Queue import Queue
from threading import Thread
from PIL import Image
logger = logging.getLogger(__name__)
TEMP_DIR = os.path.join(os.getcwd(), 'temp')
def get_temp_dir():
"""Create TEMP_DIR ... | 34.864516 | 78 | 0.560696 |
35cdb055a4bb2320fd07ae79ac8bec7d003524cf | 4,495 | py | Python | rescape_region/schema_models/settings/settings_schema.py | calocan/rescape-region | 8cb0c4d5e2f4c92939eb9a30473808decdb4bef2 | [
"MIT"
] | 1 | 2021-05-08T12:04:23.000Z | 2021-05-08T12:04:23.000Z | rescape_region/schema_models/settings/settings_schema.py | rescapes/rescape-region | b247aa277928d126bcf020c8204994b00ae4c18d | [
"MIT"
] | 15 | 2021-04-06T18:05:04.000Z | 2022-03-12T00:22:35.000Z | rescape_region/schema_models/settings/settings_schema.py | rescapes/rescape-region | b247aa277928d126bcf020c8204994b00ae4c18d | [
"MIT"
] | null | null | null | import graphene
from django.db import transaction
from graphene import InputObjectType, Mutation, Field, ObjectType
from graphene_django.types import DjangoObjectType
from graphql_jwt.decorators import login_required
from rescape_graphene import REQUIRE, graphql_update_or_create, graphql_query, guess_update_or_create, ... | 36.844262 | 117 | 0.754171 |
35d3caf546997ac4a3e9ab5b7bbe7a7b734d8898 | 72,977 | py | Python | juju/client/_client8.py | wallyworld/python-libjuju | 1de9ad1cea120a691041c243877a6316ba648900 | [
"Apache-2.0"
] | null | null | null | juju/client/_client8.py | wallyworld/python-libjuju | 1de9ad1cea120a691041c243877a6316ba648900 | [
"Apache-2.0"
] | 1 | 2019-02-11T10:00:15.000Z | 2019-02-11T10:06:20.000Z | juju/client/_client8.py | CanonicalBootStack/python-libjuju | 43fb846042f4cd7d31ae11b1542862477bd76d36 | [
"Apache-2.0"
] | null | null | null | # DO NOT CHANGE THIS FILE! This file is auto-generated by facade.py.
# Changes will be overwritten/lost when the file is regenerated.
from juju.client.facade import Type, ReturnMapping
from juju.client._definitions import *
| 57.057858 | 163 | 0.357113 |
35d5d3f3a69a394f6e66a0e4e4556dcfbb654d90 | 4,637 | py | Python | dectate/app.py | morepath/dectate | 511920acbeba5b070c532c9b0fa54b53c2baeb0a | [
"BSD-3-Clause"
] | 23 | 2016-03-24T20:13:43.000Z | 2021-08-10T05:16:41.000Z | dectate/app.py | morepath/dectate | 511920acbeba5b070c532c9b0fa54b53c2baeb0a | [
"BSD-3-Clause"
] | 46 | 2016-03-29T14:03:39.000Z | 2021-04-18T14:39:54.000Z | dectate/app.py | morepath/dectate | 511920acbeba5b070c532c9b0fa54b53c2baeb0a | [
"BSD-3-Clause"
] | 6 | 2016-04-06T14:08:36.000Z | 2020-04-19T14:22:38.000Z | import sys
from .config import Configurable, Directive, commit, create_code_info
def directive(action_factory):
"""Create a classmethod to hook action to application class.
You pass in a :class:`dectate.Action` or a
:class:`dectate.Composite` subclass and can attach the result as a
class method to... | 31.544218 | 78 | 0.665301 |
35d5e04e5892b72fc7057d291530a91e4883bc62 | 1,127 | py | Python | app/user/serializers.py | falleng0d/medicar-backend | 30bedff54ae84da7a67350852cd508c54e5bf6e7 | [
"MIT"
] | null | null | null | app/user/serializers.py | falleng0d/medicar-backend | 30bedff54ae84da7a67350852cd508c54e5bf6e7 | [
"MIT"
] | null | null | null | app/user/serializers.py | falleng0d/medicar-backend | 30bedff54ae84da7a67350852cd508c54e5bf6e7 | [
"MIT"
] | null | null | null | from collections import OrderedDict
from django.contrib.auth import get_user_model # If used custom user model
from rest_framework import serializers
UserModel = get_user_model()
| 34.151515 | 87 | 0.645075 |
35d619e412abb96bf3e95ecb361e6a948cab08cb | 2,542 | py | Python | easy-receptive-fields-pytorch/receptivefield/tests/test_pytorch.py | Swinsie/cv-rep-fork | 1c3454934645e3f9afa39ba90c3b216eb9ed7f75 | [
"Apache-2.0"
] | null | null | null | easy-receptive-fields-pytorch/receptivefield/tests/test_pytorch.py | Swinsie/cv-rep-fork | 1c3454934645e3f9afa39ba90c3b216eb9ed7f75 | [
"Apache-2.0"
] | null | null | null | easy-receptive-fields-pytorch/receptivefield/tests/test_pytorch.py | Swinsie/cv-rep-fork | 1c3454934645e3f9afa39ba90c3b216eb9ed7f75 | [
"Apache-2.0"
] | null | null | null | import pytest
import torch.nn as nn
from numpy.testing import assert_allclose
from receptivefield.pytorch import PytorchReceptiveField
from receptivefield.image import get_default_image
from receptivefield.types import ImageShape
def model_fn() -> nn.Module:
model = SimpleVGG(disable_activations=True)
model... | 29.218391 | 87 | 0.616444 |
35d72c0843e71e8c73c42625fa71b7593cdf2c85 | 192 | py | Python | KSFGHAction/__init__.py | KOLANICH-GHActions/KSFGHAction.py | e1d54ae0043d93d8b190f8e758b978bf8e779c51 | [
"Unlicense"
] | null | null | null | KSFGHAction/__init__.py | KOLANICH-GHActions/KSFGHAction.py | e1d54ae0043d93d8b190f8e758b978bf8e779c51 | [
"Unlicense"
] | 3 | 2019-12-23T22:58:40.000Z | 2019-12-25T11:20:13.000Z | KSFGHAction/__init__.py | KOLANICH/KSFGHAction.py | e1d54ae0043d93d8b190f8e758b978bf8e779c51 | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python3
import typing
from .utils import ClassDictMeta
from .issueParser import *
from .linter import *
from miniGHAPI.GitHubAPI import *
from miniGHAPI.GHActionsEnv import *
| 19.2 | 36 | 0.791667 |
35da15160bebb0c093e96b03a913df011244fd8f | 831 | py | Python | model_zoo/jag_utils/python/build_inclusive_from_exclusive.py | jonesholger/lbann | 3214f189a1438565d695542e076c4fa8e7332d34 | [
"Apache-2.0"
] | 194 | 2016-07-19T15:40:21.000Z | 2022-03-19T08:06:10.000Z | model_zoo/jag_utils/python/build_inclusive_from_exclusive.py | jonesholger/lbann | 3214f189a1438565d695542e076c4fa8e7332d34 | [
"Apache-2.0"
] | 1,021 | 2016-07-19T12:56:31.000Z | 2022-03-29T00:41:47.000Z | model_zoo/jag_utils/python/build_inclusive_from_exclusive.py | jonesholger/lbann | 3214f189a1438565d695542e076c4fa8e7332d34 | [
"Apache-2.0"
] | 74 | 2016-07-28T18:24:00.000Z | 2022-01-24T19:41:04.000Z | import sys
if len(sys.argv) != 4 :
print 'usage:', sys.argv[0], 'index_fn id_mapping_fn output_fn'
exit(9)
a = open(sys.argv[1])
a.readline()
header = a.readline()
dir = a.readline()
#build map: filename -> set of bad samples
mp = {}
mp_good = {}
mp_bad = {}
for line in a :
t = line.split()
mp[t[0]] = set()
... | 17.680851 | 65 | 0.56438 |
35db3c607e8460d5391f5e65c6e7e40b3c6921ac | 7,147 | py | Python | app/tests/functional/test_user.py | sun-fengcai/flask_template | fc6c5963ac9ac632c83d81c7b62ab74d7e99d02d | [
"MIT"
] | 3 | 2019-11-16T06:51:17.000Z | 2019-11-21T01:18:31.000Z | app/tests/functional/test_user.py | sun-fengcai/flask_template | fc6c5963ac9ac632c83d81c7b62ab74d7e99d02d | [
"MIT"
] | 27 | 2019-11-17T13:56:49.000Z | 2021-06-28T12:04:18.000Z | app/tests/functional/test_user.py | sun-fengcai/flask_template | fc6c5963ac9ac632c83d81c7b62ab74d7e99d02d | [
"MIT"
] | 1 | 2021-04-23T23:57:28.000Z | 2021-04-23T23:57:28.000Z | import json
from app import utils
| 31.484581 | 78 | 0.646705 |
35dd29f78d96791ddc38a66b186a7265c181d8b6 | 15,814 | py | Python | MultiAV/MultiAV.py | Virag007/Multi-Malware-Detection-Engine-based-on-Blockchain | 80e91b2f2ec15d271141568451492fefd88f8ace | [
"MIT"
] | 2 | 2020-11-18T10:00:22.000Z | 2020-12-18T13:48:25.000Z | MultiAV/MultiAV.py | Virag007/Multi-Malware-Detection-Engine-based-on-Blockchain | 80e91b2f2ec15d271141568451492fefd88f8ace | [
"MIT"
] | null | null | null | MultiAV/MultiAV.py | Virag007/Multi-Malware-Detection-Engine-based-on-Blockchain | 80e91b2f2ec15d271141568451492fefd88f8ace | [
"MIT"
] | 1 | 2020-12-18T13:48:27.000Z | 2020-12-18T13:48:27.000Z | from threading import *
from tkinter import *
from tkinter.filedialog import askopenfilename
import tkinter, tkinter.scrolledtext
import os
import sys
import urllib.request
import glob
import time
import hashlib
import quarantaene
from vta import vtapi
import argparse
os_name = sys.platform
terminations = []
if "win"... | 34.008602 | 155 | 0.608511 |
35de2fad41fb3b2060ce525003204693b12af0ed | 8,421 | py | Python | model.py | ishine/Speaker_Verification | 69935cf422c2fbfe1258c5b4e682c46cf07ec4f4 | [
"MIT"
] | 337 | 2018-11-12T14:52:43.000Z | 2022-03-09T09:23:33.000Z | model.py | ishine/Speaker_Verification | 69935cf422c2fbfe1258c5b4e682c46cf07ec4f4 | [
"MIT"
] | 27 | 2018-12-17T09:53:18.000Z | 2022-02-17T01:43:51.000Z | model.py | ishine/Speaker_Verification | 69935cf422c2fbfe1258c5b4e682c46cf07ec4f4 | [
"MIT"
] | 112 | 2018-11-29T05:29:31.000Z | 2022-03-23T09:23:19.000Z | import tensorflow as tf
import numpy as np
import os
import time
from utils import random_batch, normalize, similarity, loss_cal, optim
from configuration import get_config
from tensorflow.contrib import rnn
config = get_config()
# Test Session
| 49.828402 | 134 | 0.609785 |
35deafd975317c421134eb40936909b54e0afa4b | 1,701 | py | Python | server/swagger_server/test/test_statements_controller.py | lhannest/pharos-beacon | 101da505203622a76882c1b21dc861a8143ed0d1 | [
"MIT"
] | null | null | null | server/swagger_server/test/test_statements_controller.py | lhannest/pharos-beacon | 101da505203622a76882c1b21dc861a8143ed0d1 | [
"MIT"
] | null | null | null | server/swagger_server/test/test_statements_controller.py | lhannest/pharos-beacon | 101da505203622a76882c1b21dc861a8143ed0d1 | [
"MIT"
] | null | null | null | # coding: utf-8
from __future__ import absolute_import
from flask import json
from six import BytesIO
from swagger_server.models.beacon_annotation import BeaconAnnotation # noqa: E501
from swagger_server.models.beacon_statement import BeaconStatement # noqa: E501
from swagger_server.test import BaseTestCase
if ... | 31.5 | 82 | 0.562022 |
35df05205df26d9b8705fd6ac8ad49277f753502 | 752 | py | Python | mailmerge/smtp_dummy.py | Denzeldeveloper/Python-Auto-MailMerge- | 4df95a67ef1b1c0f79a09f6c1c373b81d4220822 | [
"MIT"
] | null | null | null | mailmerge/smtp_dummy.py | Denzeldeveloper/Python-Auto-MailMerge- | 4df95a67ef1b1c0f79a09f6c1c373b81d4220822 | [
"MIT"
] | null | null | null | mailmerge/smtp_dummy.py | Denzeldeveloper/Python-Auto-MailMerge- | 4df95a67ef1b1c0f79a09f6c1c373b81d4220822 | [
"MIT"
] | null | null | null | """Dummy SMTP API."""
| 25.066667 | 71 | 0.606383 |
35dfaf06e8a5f5aaf7ae1089fe23e645c5b81780 | 3,395 | py | Python | steepshot_bot/steepshot_api.py | weyoume/wetelegrambot | fcee44a701319b190484e91b3ce444571a5bdd90 | [
"MIT"
] | null | null | null | steepshot_bot/steepshot_api.py | weyoume/wetelegrambot | fcee44a701319b190484e91b3ce444571a5bdd90 | [
"MIT"
] | null | null | null | steepshot_bot/steepshot_api.py | weyoume/wetelegrambot | fcee44a701319b190484e91b3ce444571a5bdd90 | [
"MIT"
] | null | null | null | import json
import logging
import requests
from requests.exceptions import RequestException
from steepshot_bot import settings
from steepshot_bot.exceptions import SteepshotServerError
from steepshot_bot.steem import get_signed_transaction
logger = logging.getLogger(__name__)
API_URLS = {
'posts_recent': setti... | 34.642857 | 110 | 0.648895 |
35e0f0d3502703e87d1e48941fca0756c0155a59 | 10,315 | py | Python | kernelized_correlation_filter.py | ElnuraMusaoglu/KernelizedCorrelationFilter | 78eab4297218b107cf7688e7e7c76d79b5609893 | [
"MIT"
] | null | null | null | kernelized_correlation_filter.py | ElnuraMusaoglu/KernelizedCorrelationFilter | 78eab4297218b107cf7688e7e7c76d79b5609893 | [
"MIT"
] | null | null | null | kernelized_correlation_filter.py | ElnuraMusaoglu/KernelizedCorrelationFilter | 78eab4297218b107cf7688e7e7c76d79b5609893 | [
"MIT"
] | null | null | null | '''
Elnura Musaoglu
2021
'''
import numpy as np
import cv2
from numpy.fft import fftn, ifftn, fft2, ifft2, fftshift
from numpy import conj, real
from utils import gaussian2d_rolled_labels, cos_window
from hog_cpp.fhog.get_hog import get_hog
vgg_path = 'model/imagenet-vgg-verydeep-19.mat'
vgg_model = create_model()... | 40.93254 | 136 | 0.575279 |
35e24c24b699b1a26e6f2ffbc1f1f23fc306cb6b | 3,839 | py | Python | sketches/demo_02a/editor.py | heerdyes/raspi-art | 2e38c1926b6a6f4c745e0629b193d9c3c15acc22 | [
"MIT"
] | 1 | 2021-02-02T12:36:07.000Z | 2021-02-02T12:36:07.000Z | sketches/demo_02a/editor.py | heerdyes/raspi-art | 2e38c1926b6a6f4c745e0629b193d9c3c15acc22 | [
"MIT"
] | null | null | null | sketches/demo_02a/editor.py | heerdyes/raspi-art | 2e38c1926b6a6f4c745e0629b193d9c3c15acc22 | [
"MIT"
] | null | null | null | from arch import *
from wnds import *
from helper import *
import os
| 28.021898 | 79 | 0.505079 |
35e6fd9082eae1ca801cddf99ab1c81fb1bb1309 | 23,626 | py | Python | app.py | Ator97/dataMiningDataviz | 0cf78b93c45ee08f73045b057f95290f8bf7d26e | [
"Apache-2.0"
] | null | null | null | app.py | Ator97/dataMiningDataviz | 0cf78b93c45ee08f73045b057f95290f8bf7d26e | [
"Apache-2.0"
] | null | null | null | app.py | Ator97/dataMiningDataviz | 0cf78b93c45ee08f73045b057f95290f8bf7d26e | [
"Apache-2.0"
] | null | null | null | import base64
import datetime
import io
import dash
from dash.dependencies import Input, Output, State
import dash_core_components as dcc
import dash_html_components as html
import dash_table
import pandas as pd
import plotly.express as px
from apyori import apriori
from scipy.spatial import distance
import plotly.gra... | 41.017361 | 206 | 0.526496 |
35e7e19298ec398add76703d93ea4b308eefc9cc | 3,394 | py | Python | pepys_import/file/highlighter/support/export.py | debrief/pepys-import | 12d29c0e0f69e1119400334983947893e7679b6b | [
"Apache-2.0"
] | 4 | 2021-05-14T08:22:47.000Z | 2022-02-04T19:48:25.000Z | pepys_import/file/highlighter/support/export.py | debrief/pepys-import | 12d29c0e0f69e1119400334983947893e7679b6b | [
"Apache-2.0"
] | 1,083 | 2019-11-06T17:01:07.000Z | 2022-03-25T10:26:51.000Z | pepys_import/file/highlighter/support/export.py | debrief/pepys-import | 12d29c0e0f69e1119400334983947893e7679b6b | [
"Apache-2.0"
] | 4 | 2019-11-06T12:00:45.000Z | 2021-06-09T04:18:28.000Z | import html
from tqdm import tqdm
from .color_picker import color_for, html_color_for, mean_color_for
def export_report(filename, chars, dict_colors, include_key=False):
"""
Export a HTML report showing all the extraction usages for the file.
:param filename: Output filename
:param chars: Character... | 32.634615 | 99 | 0.578079 |
35e8080312909f6045b82180fc2168f39798312c | 4,694 | py | Python | Task 4/scripts/utilities_activity7.py | gourab337/Technocolab_DL_Internship | 269c578b9eab5a02f65d9c0952e19db69bf9a1b0 | [
"MIT"
] | 1 | 2020-11-29T20:09:46.000Z | 2020-11-29T20:09:46.000Z | Task 4/scripts/utilities_activity7.py | gourab337/Technocolab_DL_Internship | 269c578b9eab5a02f65d9c0952e19db69bf9a1b0 | [
"MIT"
] | null | null | null | Task 4/scripts/utilities_activity7.py | gourab337/Technocolab_DL_Internship | 269c578b9eab5a02f65d9c0952e19db69bf9a1b0 | [
"MIT"
] | 1 | 2020-12-01T05:39:11.000Z | 2020-12-01T05:39:11.000Z | """Utility functions used in Activity 7."""
import random
import numpy as np
from matplotlib import pyplot as plt
from keras.callbacks import TensorBoard
def create_groups(data, group_size=7):
"""Create distinct groups from a continuous series.
Parameters
----------
data: np.array
Series of... | 27.290698 | 82 | 0.639966 |
ea0058bf191d7578f0be7e70bc2cea8837da26ba | 10,577 | py | Python | pygenenet/CausalNetwork.py | ttdtrang/pygenenet | 49cc0c088e4f633f18e0294e42a0603a7027f06d | [
"MIT"
] | null | null | null | pygenenet/CausalNetwork.py | ttdtrang/pygenenet | 49cc0c088e4f633f18e0294e42a0603a7027f06d | [
"MIT"
] | null | null | null | pygenenet/CausalNetwork.py | ttdtrang/pygenenet | 49cc0c088e4f633f18e0294e42a0603a7027f06d | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
import itertools
__metaclass__ = type
def combineIVs(species, IVs, IVscores, IV0,exp_digitized, bins, thresholds):
'''score every possible combination of IV in input IVs'''
I = []
scores = []
to_remove = []
tj = len(IV0[IV0.notnull()])
bg_score = 0.
... | 45.008511 | 143 | 0.525102 |
ea008637c73dda8e84514900695de29b3ed914c6 | 14,069 | py | Python | animation_retarget/animation_retarget_mh.py | curmil/makehuman-utils | 1e1a56479bc1deac613802e891abf440cbeb342e | [
"CC0-1.0"
] | 3 | 2018-04-16T15:14:54.000Z | 2021-08-11T16:00:58.000Z | animation_retarget/animation_retarget_mh.py | curmil/makehuman-utils | 1e1a56479bc1deac613802e891abf440cbeb342e | [
"CC0-1.0"
] | 1 | 2020-10-29T07:53:51.000Z | 2020-10-29T07:53:51.000Z | animation_retarget/animation_retarget_mh.py | curmil/makehuman-utils | 1e1a56479bc1deac613802e891abf440cbeb342e | [
"CC0-1.0"
] | 5 | 2019-08-09T15:21:50.000Z | 2022-02-21T14:02:45.000Z | #!/usr/bin/python
"""
**Project Name:** MakeHuman
**Product Home Page:** http://www.makehuman.org/
**Code Home Page:** https://bitbucket.org/MakeHuman/makehuman/
**Author:** Jonas Hauquier, Thomas Larsson
**Copyright(c):** MakeHuman Team 2001-2015
**Licensing:** AGPL3
This program... | 36.074359 | 157 | 0.665435 |
ea01af5836b19c682f107e67a34eda620b66f4f3 | 1,376 | py | Python | Python/Config.py | mariocar/Nerf_Aimbot | 5afe56c9904b9facc59342e316e126dc11a1157b | [
"MIT"
] | 13 | 2020-10-19T15:16:34.000Z | 2021-12-13T19:20:17.000Z | Python/Config.py | mariocar/Nerf_Aimbot | 5afe56c9904b9facc59342e316e126dc11a1157b | [
"MIT"
] | 1 | 2022-03-14T18:45:56.000Z | 2022-03-20T00:04:04.000Z | Python/Config.py | DDeGonge/Nerf_Aimbot | 5afe56c9904b9facc59342e316e126dc11a1157b | [
"MIT"
] | 5 | 2020-10-16T17:27:12.000Z | 2022-03-18T17:52:39.000Z | """ MECHANICAL PARAMETERS """
s0_step_per_rev = 27106
s1_step_per_rev = 27106
pitch_travel_rads = 0.5
yaw_travel_rads = 1.2
pitch_center_rads = 0.21
yaw_center_rads = 0.59
default_vel_radps = 2.5
default_accel_radps2 = 20
trigger_min_pwm = 40
trigger_max_pwm = 120
trigger_hold_s = 0.5
""" PI PINOUTS """
half_press... | 18.849315 | 73 | 0.734012 |
ea030c574075dd05328271b1ccc630cdf7f9c443 | 1,303 | py | Python | solum-6.0.0/solum/objects/sqlalchemy/execution.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | 39 | 2015-09-26T01:30:52.000Z | 2021-05-20T23:37:43.000Z | solum-6.0.0/solum/objects/sqlalchemy/execution.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | 5 | 2019-08-14T06:46:03.000Z | 2021-12-13T20:01:25.000Z | solum-6.0.0/solum/objects/sqlalchemy/execution.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | 30 | 2015-10-25T18:06:39.000Z | 2020-01-14T12:14:06.000Z | # Copyright 2014 - Rackspace Hosting
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... | 33.410256 | 75 | 0.744436 |
ea045fe7b9c17066011316e1d2c7191ab7f63a8f | 5,143 | py | Python | cryptopunks/utils.py | tesla809/colorpunx | bee4557ab87a3804b249eaad4fb83fc96942fad7 | [
"Apache-2.0"
] | 1 | 2021-11-19T23:56:15.000Z | 2021-11-19T23:56:15.000Z | cryptopunks/utils.py | tesla809/colorpunx | bee4557ab87a3804b249eaad4fb83fc96942fad7 | [
"Apache-2.0"
] | null | null | null | cryptopunks/utils.py | tesla809/colorpunx | bee4557ab87a3804b249eaad4fb83fc96942fad7 | [
"Apache-2.0"
] | null | null | null | """Tools for working with Cryptopunk NFTs; this includes utilities for data analysis and image preparation for training machine learning models using Cryptopunks as training data.
Functions:
get_punk(id)
pixel_to_img(pixel_str, dim)
flatten(img)
unflatten(img)
sort_dict_by_function_of_value(d, f)
... | 27.356383 | 180 | 0.614816 |
ea058d42499e1a5f03be44819e5b160692dcae59 | 307 | py | Python | newspaper/articles/admin.py | Krishna-Patil/Newspaper_app | 2cf209899c00bb6a086aacb0dff4767f75226cb7 | [
"MIT"
] | null | null | null | newspaper/articles/admin.py | Krishna-Patil/Newspaper_app | 2cf209899c00bb6a086aacb0dff4767f75226cb7 | [
"MIT"
] | null | null | null | newspaper/articles/admin.py | Krishna-Patil/Newspaper_app | 2cf209899c00bb6a086aacb0dff4767f75226cb7 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import *
# Register your models here.
admin.site.register(Article, ArticleAdmin)
admin.site.register(Comment)
| 17.055556 | 42 | 0.736156 |
ea06238c6c6f8de7ed088df9c80dadbb3372a8f9 | 1,277 | py | Python | GUI/Generic/GTasks.py | gcewing/PyGUI | 58c6c38ccb8e66acdf98dea6b24bef1d9a03147c | [
"MIT"
] | 9 | 2019-07-15T19:03:27.000Z | 2021-11-24T19:50:02.000Z | GUI/Generic/GTasks.py | mnabeelp/PyGUI | 58c6c38ccb8e66acdf98dea6b24bef1d9a03147c | [
"MIT"
] | 3 | 2019-09-11T13:22:10.000Z | 2020-08-19T20:13:00.000Z | GUI/Generic/GTasks.py | mnabeelp/PyGUI | 58c6c38ccb8e66acdf98dea6b24bef1d9a03147c | [
"MIT"
] | 4 | 2020-02-23T16:50:06.000Z | 2022-02-10T07:15:35.000Z | #
# PyGUI - Tasks - Generic
#
from GUI.Properties import Properties, overridable_property
| 33.605263 | 83 | 0.740799 |
ea06d13a5da8e06d3e01f08a6a3425f88f182886 | 755 | py | Python | presentingfeatures/forms.py | fahimfarhan/cancer-web-app | 6c5d8c5c90b0909cbd161d2ae87b4f12549bdfef | [
"MIT"
] | null | null | null | presentingfeatures/forms.py | fahimfarhan/cancer-web-app | 6c5d8c5c90b0909cbd161d2ae87b4f12549bdfef | [
"MIT"
] | 5 | 2021-03-18T20:13:38.000Z | 2022-01-13T00:35:37.000Z | presentingfeatures/forms.py | fahimfarhan/cancer-web-app | 6c5d8c5c90b0909cbd161d2ae87b4f12549bdfef | [
"MIT"
] | null | null | null | from django import forms
from presentingfeatures.models import Status, Investigation
| 26.034483 | 71 | 0.545695 |
ea088f92e58e2a58e35be9d342ed82158fd80454 | 209 | wsgi | Python | generators/app/templates/settings/apache/backend.wsgi | hallucino5105/generator-my-react-project | 18a7fbe70d1c847df8a043e1f8845e63938dadd4 | [
"Apache-2.0"
] | null | null | null | generators/app/templates/settings/apache/backend.wsgi | hallucino5105/generator-my-react-project | 18a7fbe70d1c847df8a043e1f8845e63938dadd4 | [
"Apache-2.0"
] | 5 | 2020-02-26T11:29:36.000Z | 2020-02-26T11:30:05.000Z | generators/app/templates/settings/apache/backend.wsgi | hallucino5105/generator-my-react-project | 18a7fbe70d1c847df8a043e1f8845e63938dadd4 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
import os
import sys
import logging
logging.basicConfig(stream=sys.stderr)
sys.path.append(os.path.dirname(os.path.abspath(__file__)))
from app.app import application
| 16.076923 | 59 | 0.77512 |
ea08f7de993fe4b0b5eb995cb3bc781d63e74534 | 582 | py | Python | mundo2/parte3/partea/ex058.py | fcdennis/CursoPython | 485ef7e706af74eae9ee336714ddd8b493bd8e5d | [
"MIT"
] | null | null | null | mundo2/parte3/partea/ex058.py | fcdennis/CursoPython | 485ef7e706af74eae9ee336714ddd8b493bd8e5d | [
"MIT"
] | null | null | null | mundo2/parte3/partea/ex058.py | fcdennis/CursoPython | 485ef7e706af74eae9ee336714ddd8b493bd8e5d | [
"MIT"
] | null | null | null | from random import randint
computador = randint(0, 10)
print('Sou seu computador...\nAcabei de pensar e um nmero entre 0 e 10.')
print('Ser que voc consegue adivinhar qual foi?')
palpite = int(input('Qual o seu palpite? '))
contador = 1
while palpite != computador:
contador += 1
if palpite > computador:
... | 36.375 | 74 | 0.656357 |
ea0bc106c32b9bce7d4aafa4b320fbbe8499e3bd | 3,215 | py | Python | June-17-2020/Managing-the-Full-API-Lifecycle/servers/production.py | Nirothipan/labs | 1cdd27dae1b03b78686037ed1bbc69ade3b44f33 | [
"Apache-2.0"
] | 2 | 2020-06-25T08:28:33.000Z | 2022-02-17T14:12:43.000Z | June-17-2020/Managing-the-Full-API-Lifecycle/servers/production.py | Nirothipan/labs | 1cdd27dae1b03b78686037ed1bbc69ade3b44f33 | [
"Apache-2.0"
] | 4 | 2020-04-30T18:25:31.000Z | 2020-07-15T21:36:41.000Z | June-17-2020/Managing-the-Full-API-Lifecycle/servers/production.py | Nirothipan/labs | 1cdd27dae1b03b78686037ed1bbc69ade3b44f33 | [
"Apache-2.0"
] | 13 | 2020-04-30T18:19:53.000Z | 2020-07-21T16:27:51.000Z | #!/usr/bin/env python3
import json
from http import server, HTTPStatus
import socketserver
import ssl
import datetime
import uuid
import time
def main():
"""
Run as a standalone server if needed
"""
EndpointHandler.run()
if __name__ == '__main__':
main()
| 31.519608 | 109 | 0.434215 |
ea0d7555db6e36c6d337cec2eb924498e3225c71 | 259 | py | Python | tilemapbase/__init__.py | Simage/TileMapBase | 85665c24a372028e327396a4b0feaca22c67d3ce | [
"MIT"
] | null | null | null | tilemapbase/__init__.py | Simage/TileMapBase | 85665c24a372028e327396a4b0feaca22c67d3ce | [
"MIT"
] | null | null | null | tilemapbase/__init__.py | Simage/TileMapBase | 85665c24a372028e327396a4b0feaca22c67d3ce | [
"MIT"
] | null | null | null | __version__ = "0.4.6"
from .tiles import init, get_cache
from .mapping import project, to_lonlat, Extent, Plotter, extent_from_frame
from .utils import start_logging
from . import tiles
from . import mapping
from . import utils
from . import ordnancesurvey
| 23.545455 | 75 | 0.787645 |
ea0e70ed7f48b9ea77840bcc6953a91b092a58f3 | 1,166 | py | Python | src/bpp/migrations/0232_auto_20210101_1751.py | iplweb/django-bpp | 85f183a99d8d5027ae4772efac1e4a9f21675849 | [
"BSD-3-Clause"
] | 1 | 2017-04-27T19:50:02.000Z | 2017-04-27T19:50:02.000Z | src/bpp/migrations/0232_auto_20210101_1751.py | mpasternak/django-bpp | 434338821d5ad1aaee598f6327151aba0af66f5e | [
"BSD-3-Clause"
] | 41 | 2019-11-07T00:07:02.000Z | 2022-02-27T22:09:39.000Z | src/bpp/migrations/0232_auto_20210101_1751.py | iplweb/bpp | f027415cc3faf1ca79082bf7bacd4be35b1a6fdf | [
"BSD-3-Clause"
] | null | null | null | # Generated by Django 3.0.11 on 2021-01-01 16:51
from django.db import migrations, models
| 36.4375 | 297 | 0.608919 |
ea112a6e9b0c0b4d5227f718d1442eae696135fa | 2,251 | py | Python | Tensorflow_2X_PythonFiles/demo51_texttokenizer.py | mahnooranjum/Tensorflow_DeepLearning | 65ab178d4c17efad01de827062d5c85bdfb9b1ca | [
"MIT"
] | null | null | null | Tensorflow_2X_PythonFiles/demo51_texttokenizer.py | mahnooranjum/Tensorflow_DeepLearning | 65ab178d4c17efad01de827062d5c85bdfb9b1ca | [
"MIT"
] | null | null | null | Tensorflow_2X_PythonFiles/demo51_texttokenizer.py | mahnooranjum/Tensorflow_DeepLearning | 65ab178d4c17efad01de827062d5c85bdfb9b1ca | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Demo51_TextTokenizer.ipynb
# **Spit some [tensor] flow**
We need to learn the intricacies of tensorflow to master deep learning
`Let's get this over with`
## So we OHE the last NLP problem, why not do the same and feed it to the neural network? Well because, features in a language, are no... | 24.467391 | 149 | 0.665038 |
ea12cb6de419df1a315ae612d46dcba363f94b68 | 5,472 | py | Python | floodsystem/flood.py | Manz2TheMax/1A_FloodWarning_Group2 | cce498c69daf7ea409463e39aa6beda19203c155 | [
"MIT"
] | null | null | null | floodsystem/flood.py | Manz2TheMax/1A_FloodWarning_Group2 | cce498c69daf7ea409463e39aa6beda19203c155 | [
"MIT"
] | null | null | null | floodsystem/flood.py | Manz2TheMax/1A_FloodWarning_Group2 | cce498c69daf7ea409463e39aa6beda19203c155 | [
"MIT"
] | null | null | null | """This module provides tools for assessing flood risk
"""
from datetime import timedelta
from floodsystem.datafetcher import fetch_measure_levels
import numpy as np
from floodsystem.analysis import polyfit
from matplotlib import dates as date
def stations_level_over_threshold(stations, tol):
"""For a list of Mon... | 38 | 126 | 0.701389 |
ea13103cadb7d3efae73e9bac04af504790aa183 | 3,349 | py | Python | Visualization_with_PyGal.py | rocketpy/data_profiling | 83ac32c50a5d5589769a342b945673e8403f3fed | [
"MIT"
] | null | null | null | Visualization_with_PyGal.py | rocketpy/data_profiling | 83ac32c50a5d5589769a342b945673e8403f3fed | [
"MIT"
] | null | null | null | Visualization_with_PyGal.py | rocketpy/data_profiling | 83ac32c50a5d5589769a342b945673e8403f3fed | [
"MIT"
] | 1 | 2021-09-04T13:58:53.000Z | 2021-09-04T13:58:53.000Z | # A python svg graph plotting library and creating interactive charts !
# PyPi: https://pypi.org/project/pygal/
# Docs: http://www.pygal.org/en/stable/index.html
# Chart types: http://www.pygal.org/en/stable/documentation/types/index.html
# Maps: http://www.pygal.org/en/stable/documentation/types/maps/pygal_maps_wor... | 25.761538 | 94 | 0.654225 |
ea13756a0ffd8a68a14fc4db2d7499ba93d9435e | 17,663 | py | Python | robogen/rgkit/backup bots/Dulladob01.py | andrewgailey/robogen | 7e96cfa26d2e6dc383c5d205816ddd98f8f100d7 | [
"Unlicense"
] | null | null | null | robogen/rgkit/backup bots/Dulladob01.py | andrewgailey/robogen | 7e96cfa26d2e6dc383c5d205816ddd98f8f100d7 | [
"Unlicense"
] | null | null | null | robogen/rgkit/backup bots/Dulladob01.py | andrewgailey/robogen | 7e96cfa26d2e6dc383c5d205816ddd98f8f100d7 | [
"Unlicense"
] | null | null | null | # Dulladob 0.1 by Camelot Chess
# http://robotgame.net/viewrobot/7641
import rg
spawn_param = 8 #which turn to we begin bouncing?
suicide_param = 6 #when to blow ourselves up (param*surrounders>hp)?
suicide_fear_param = 6 #which to fear enemies blowing up?
staying_still_bonus = 0.34 #points for staying put
best_cen... | 39.16408 | 135 | 0.628885 |
ea1590334af24435c30185a2cb73b1bcb47990a6 | 12,795 | py | Python | telestream_cloud_qc_sdk/test/test_video_config.py | pandastream/telestream-cloud-python-sdk | ce0ad503299661a0f622661359367173c06889fc | [
"MIT"
] | null | null | null | telestream_cloud_qc_sdk/test/test_video_config.py | pandastream/telestream-cloud-python-sdk | ce0ad503299661a0f622661359367173c06889fc | [
"MIT"
] | 2 | 2016-07-06T14:13:31.000Z | 2018-03-07T12:54:58.000Z | telestream_cloud_qc_sdk/test/test_video_config.py | Telestream/telestream-cloud-python-sdk | ce0ad503299661a0f622661359367173c06889fc | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Qc API
Qc API # noqa: E501
The version of the OpenAPI document: 3.0.0
Contact: cloudsupport@telestream.net
Generated by: https://openapi-generator.tech
"""
from __future__ import absolute_import
import unittest
import datetime
import telestream_cloud_qc
from telestream_cl... | 47.040441 | 132 | 0.511059 |
ea181d806b5b9dbcd288d38db58d0fa940f79080 | 223 | py | Python | topics/topic_1/9square_of_number.py | VladBaryliuk/my_trainings | 10c4bf2147c361ab918c591577a076b0d276ede0 | [
"Apache-2.0"
] | null | null | null | topics/topic_1/9square_of_number.py | VladBaryliuk/my_trainings | 10c4bf2147c361ab918c591577a076b0d276ede0 | [
"Apache-2.0"
] | null | null | null | topics/topic_1/9square_of_number.py | VladBaryliuk/my_trainings | 10c4bf2147c361ab918c591577a076b0d276ede0 | [
"Apache-2.0"
] | null | null | null | square_of_number()
| 22.3 | 40 | 0.623318 |
ea1a1e4df5ca384ebf5252f38a1f95b8bff9c295 | 6,275 | py | Python | scannerProyecto2Tejada.py | tej17584/proyecto2DisenoLenguajes | a8aead2908eb4e87c8b7d9d373690766d6dfcd9c | [
"MIT"
] | null | null | null | scannerProyecto2Tejada.py | tej17584/proyecto2DisenoLenguajes | a8aead2908eb4e87c8b7d9d373690766d6dfcd9c | [
"MIT"
] | null | null | null | scannerProyecto2Tejada.py | tej17584/proyecto2DisenoLenguajes | a8aead2908eb4e87c8b7d9d373690766d6dfcd9c | [
"MIT"
] | null | null | null |
# Nombre: Alejandro Tejada
# Curso: Diseo lenguajes de programacion
# Fecha: Abril 2021
# Programa: scannerProyecto2Tejada.py
# Propsito: Este programa tiene como fin leer el file de entrada
# V 1.0
# imports
import pickle
from pprint import pprint as pp
objeSCanner = Scanner()
| 33.55615 | 80 | 0.508526 |
ea1c12db4d5af227141198911161b74bbd00e24e | 1,271 | py | Python | .tox/scenario/lib/python2.7/site-packages/oslo_middleware/__init__.py | bdrich/neutron-lbaas | b4711abfe0207c4fdd5d7fb7ecbf017e753abbfd | [
"Apache-2.0"
] | null | null | null | .tox/scenario/lib/python2.7/site-packages/oslo_middleware/__init__.py | bdrich/neutron-lbaas | b4711abfe0207c4fdd5d7fb7ecbf017e753abbfd | [
"Apache-2.0"
] | null | null | null | .tox/scenario/lib/python2.7/site-packages/oslo_middleware/__init__.py | bdrich/neutron-lbaas | b4711abfe0207c4fdd5d7fb7ecbf017e753abbfd | [
"Apache-2.0"
] | null | null | null | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# d... | 39.71875 | 78 | 0.739575 |
ea1c349d5a962884cd1e7e0a9b53304ae80ef64b | 648 | py | Python | programmers/lv2_review/openchat.py | mrbartrns/swacademy_structure | 778f0546030385237c383d81ec37d5bd9ed1272d | [
"MIT"
] | null | null | null | programmers/lv2_review/openchat.py | mrbartrns/swacademy_structure | 778f0546030385237c383d81ec37d5bd9ed1272d | [
"MIT"
] | null | null | null | programmers/lv2_review/openchat.py | mrbartrns/swacademy_structure | 778f0546030385237c383d81ec37d5bd9ed1272d | [
"MIT"
] | null | null | null | # []
if __name__ == "__main__":
record = [
"Enter uid1234 Muzi",
"Enter uid4567 Prodo",
"Leave uid1234",
"Enter uid1234 Prodo",
"Change uid4567 Ryan",
]
print(solution(record)) | 23.142857 | 55 | 0.498457 |
ea1c8dc482231f31a61b11ef7f70060a085b4cca | 227 | py | Python | chanjet_openapi_python_sdk/exception/serialize_response_exception.py | Chanjet/chanjet-openapi-python-sdk- | a076ce11d6d1789e657b96d72bbbcff594dbb4e9 | [
"MIT"
] | 2 | 2021-08-12T05:22:56.000Z | 2021-09-08T09:03:38.000Z | chanjet_openapi_python_sdk/exception/serialize_response_exception.py | Chanjet/chanjet-openapi-python-sdk | a076ce11d6d1789e657b96d72bbbcff594dbb4e9 | [
"MIT"
] | null | null | null | chanjet_openapi_python_sdk/exception/serialize_response_exception.py | Chanjet/chanjet-openapi-python-sdk | a076ce11d6d1789e657b96d72bbbcff594dbb4e9 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# @Time : 2021/8/6 15:01
# @Author : zc
# @Desc : jsonresponse
| 22.7 | 44 | 0.647577 |
ea1cac9b8b5465978251233d73081760528adcd8 | 17,699 | py | Python | scrud_django/decorators.py | Django-Stack-Backend/Django-backend-React-frontend | 4c814ab9b97d70a259d4b93e30d118deba9831fd | [
"BSD-3-Clause"
] | 1 | 2021-11-22T20:39:26.000Z | 2021-11-22T20:39:26.000Z | scrud_django/decorators.py | Django-Stack-Backend/Django-backend-React-frontend | 4c814ab9b97d70a259d4b93e30d118deba9831fd | [
"BSD-3-Clause"
] | null | null | null | scrud_django/decorators.py | Django-Stack-Backend/Django-backend-React-frontend | 4c814ab9b97d70a259d4b93e30d118deba9831fd | [
"BSD-3-Clause"
] | null | null | null | from datetime import timezone
from functools import partial, update_wrapper
from django.utils.cache import get_conditional_response
from django.utils.http import http_date, quote_etag
from rest_framework import status
from rest_framework.metadata import BaseMetadata
from rest_framework.response import Response
from re... | 37.818376 | 87 | 0.611277 |
ea1ddd5fb3b7764b25bce86e343d6fc2d860a274 | 670 | py | Python | cloud/scripts/estudos/fiis_ifix_gestores.py | codennine/trendfii | d13ee68ddcf80b0d58384c2c1f5972f210ae9d04 | [
"MIT"
] | null | null | null | cloud/scripts/estudos/fiis_ifix_gestores.py | codennine/trendfii | d13ee68ddcf80b0d58384c2c1f5972f210ae9d04 | [
"MIT"
] | 4 | 2019-06-19T20:25:43.000Z | 2021-06-02T03:43:05.000Z | cloud/scripts/estudos/fiis_ifix_gestores.py | codennine/trendfii | d13ee68ddcf80b0d58384c2c1f5972f210ae9d04 | [
"MIT"
] | null | null | null | #coding=utf-8
import os
from bs4 import BeautifulSoup
files = []
gestores = {
'EDY11': {'fiis': [], 'vacancia':0}
}
for r,d,f in os.walk('../gestores_ifix'):
for file in f:
handle = open(os.path.join(r, file), 'r')
html = handle.read()
soup = BeautifulSoup(html, 'html.parser')
... | 23.103448 | 66 | 0.51194 |
ea1e3a374da6546ba9cfee034f40a9ff5ef3cbde | 86 | py | Python | RL/Custom-env/Custom-env/envs/__init__.py | Poppins001/Projects | 386b741c2a8361289d73af658c8c6779ec8315b2 | [
"MIT"
] | 1 | 2018-06-01T14:40:49.000Z | 2018-06-01T14:40:49.000Z | RL/Custom-env/Custom-env/envs/__init__.py | Poppins001/Projects | 386b741c2a8361289d73af658c8c6779ec8315b2 | [
"MIT"
] | null | null | null | RL/Custom-env/Custom-env/envs/__init__.py | Poppins001/Projects | 386b741c2a8361289d73af658c8c6779ec8315b2 | [
"MIT"
] | null | null | null | from Custom-env.envs.Env1 import ENV1_NAME
from Custom-env.envs.Env2 import ENV2_NAME
| 28.666667 | 42 | 0.837209 |
ea1fff46a82c83c0a760acd9e59925eaa45ebb42 | 1,176 | py | Python | Trie/14. Longest Common Prefix/solution.py | Shalini180/LeetCode-Solutions | 0ea364fa40b69dd129230903a0bdbe0fc116db08 | [
"Unlicense"
] | 9 | 2021-03-24T11:21:03.000Z | 2022-02-14T05:05:48.000Z | Trie/14. Longest Common Prefix/solution.py | Shalini180/LeetCode-Solutions | 0ea364fa40b69dd129230903a0bdbe0fc116db08 | [
"Unlicense"
] | 38 | 2021-10-07T18:04:12.000Z | 2021-12-05T05:53:27.000Z | Trie/14. Longest Common Prefix/solution.py | Shalini180/LeetCode-Solutions | 0ea364fa40b69dd129230903a0bdbe0fc116db08 | [
"Unlicense"
] | 27 | 2021-10-06T19:55:48.000Z | 2021-11-18T16:53:20.000Z | '''
Write a function to find the longest common prefix string amongst an array of strings.
If there is no common prefix, return an empty string "".
Example 1:
Input: strs = ["flower","flow","flight"]
Output: "fl"
Constraints:
1 <= strs.length <= 200
0 <= strs[i].length <= 200
strs[i] consists of only lower-case En... | 23.52 | 86 | 0.547619 |
ea20af329182c07294d2c1bbed18aee79997d85a | 32 | py | Python | uresnet/iotools/__init__.py | NuTufts/uresnet_pytorch | 3a05f2349ae1e9601d05a80384920d8a22b4bc34 | [
"MIT"
] | null | null | null | uresnet/iotools/__init__.py | NuTufts/uresnet_pytorch | 3a05f2349ae1e9601d05a80384920d8a22b4bc34 | [
"MIT"
] | null | null | null | uresnet/iotools/__init__.py | NuTufts/uresnet_pytorch | 3a05f2349ae1e9601d05a80384920d8a22b4bc34 | [
"MIT"
] | null | null | null | from .iotools import io_factory
| 16 | 31 | 0.84375 |
ea210e1e988d4d420b55731b7d3f040fb88524e4 | 11,867 | py | Python | model_selection.py | elalamik/Regression_Project_Predicting_Age_of_Abalones | f3123ee7ae96fa963d7db7c75699779fd03cd05f | [
"MIT"
] | null | null | null | model_selection.py | elalamik/Regression_Project_Predicting_Age_of_Abalones | f3123ee7ae96fa963d7db7c75699779fd03cd05f | [
"MIT"
] | null | null | null | model_selection.py | elalamik/Regression_Project_Predicting_Age_of_Abalones | f3123ee7ae96fa963d7db7c75699779fd03cd05f | [
"MIT"
] | null | null | null | import statsmodels.api as sm
import statsmodels.formula.api as smf
import numpy as np
import pandas as pd
from mlxtend.feature_selection import ExhaustiveFeatureSelector as EFS
from sklearn.linear_model import LinearRegression
import sys; import re
def detect_dummies(X,variable):
'''
If no dummies simply return... | 34.397101 | 162 | 0.720317 |
ea2175fd92a81a7aa44dc7fd222cd723428cd81c | 1,972 | py | Python | play.py | amm042/pyMonty | eb4400d179a73571c02c5bf2b0793bff4a488092 | [
"MIT"
] | null | null | null | play.py | amm042/pyMonty | eb4400d179a73571c02c5bf2b0793bff4a488092 | [
"MIT"
] | null | null | null | play.py | amm042/pyMonty | eb4400d179a73571c02c5bf2b0793bff4a488092 | [
"MIT"
] | null | null | null | """
Montey hall client
Alan Marchiori 2019
"""
import logging
import socket
import time
import argparse
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description=__doc__)
parser.add_argument(
'-a', '--addr', type=str,
help='ip address of the server', required=False,
... | 30.338462 | 80 | 0.559838 |
ea21bdaf4495b9f91ab1a9b78ddc86efc5c91b1c | 687 | py | Python | publishing_boy/tests/utils.py | przemekkot/publishing-boy | 7ed069ab2393d684057ddad196c49a58101e9fda | [
"MIT"
] | null | null | null | publishing_boy/tests/utils.py | przemekkot/publishing-boy | 7ed069ab2393d684057ddad196c49a58101e9fda | [
"MIT"
] | 7 | 2020-02-12T02:27:28.000Z | 2022-02-10T08:54:02.000Z | publishing_boy/tests/utils.py | przemekkot/publishing-boy | 7ed069ab2393d684057ddad196c49a58101e9fda | [
"MIT"
] | null | null | null | import os
import tempfile
from django.core.files.storage import FileSystemStorage
import django.core.files.storage
# dummy django.conf.settings
# switch settings
django.core.files.storage.settings = Settings()
| 24.535714 | 64 | 0.751092 |
ea2206dfae42e6d124e7e16bb3567b4adca04132 | 1,070 | py | Python | app/report/models/call_table_model.py | michaelscales88/mWreporting_final | b0399fb32fd594c2f5a20d47c2c0dceaecb6f326 | [
"MIT"
] | 2 | 2019-06-10T21:15:03.000Z | 2020-01-02T13:12:45.000Z | app/report/models/call_table_model.py | michaelscales88/python-reporting-app | b0399fb32fd594c2f5a20d47c2c0dceaecb6f326 | [
"MIT"
] | 14 | 2018-01-18T19:07:15.000Z | 2018-05-16T18:44:55.000Z | app/report/models/call_table_model.py | michaelscales88/mWreporting_final | b0399fb32fd594c2f5a20d47c2c0dceaecb6f326 | [
"MIT"
] | null | null | null | # data/models.py
import datetime
from sqlalchemy.ext.hybrid import hybrid_property
from app.extensions import db
| 31.470588 | 79 | 0.694393 |
ea22bbec328c45633bc90472df085445b7749a42 | 342 | py | Python | dataentry/models.py | abrehman90/Integrate-SummerNote-in-Django | a588578f007e153b85e1b18e71fa37d05bdef7ef | [
"MIT"
] | 1 | 2021-12-15T03:47:19.000Z | 2021-12-15T03:47:19.000Z | dataentry/models.py | abrehman90/Integrate-SummerNote-in-Django | a588578f007e153b85e1b18e71fa37d05bdef7ef | [
"MIT"
] | null | null | null | dataentry/models.py | abrehman90/Integrate-SummerNote-in-Django | a588578f007e153b85e1b18e71fa37d05bdef7ef | [
"MIT"
] | null | null | null | from django.db import models
# Create your models here.
| 24.428571 | 57 | 0.695906 |
ea230ac82e5bb4386e749cb1be502c5bdba91b6d | 76 | py | Python | dotfiles/common/.gdbinit.d/eigen.py | HaoZeke/Dotfiles | f4ac24b0d7e08d87b1f402af67e463c528b1b69d | [
"Unlicense"
] | 14 | 2018-10-29T18:54:25.000Z | 2021-12-21T00:22:52.000Z | dotfiles/common/.gdbinit.d/eigen.py | HaoZeke/Dotfiles | f4ac24b0d7e08d87b1f402af67e463c528b1b69d | [
"Unlicense"
] | 1 | 2018-08-20T17:41:10.000Z | 2018-08-20T17:42:23.000Z | dotfiles/common/.gdbinit.d/eigen.py | HaoZeke/Dotfiles | f4ac24b0d7e08d87b1f402af67e463c528b1b69d | [
"Unlicense"
] | 3 | 2018-08-20T17:36:29.000Z | 2021-01-23T05:18:30.000Z | # Eigen pretty printer
__import__('eigengdb').register_eigen_printers(None)
| 25.333333 | 52 | 0.828947 |
ea23411116c11712b8563c0700e8c3b9b69e0e40 | 1,055 | py | Python | sv/loading.py | thalesians/bayestsa | d54ea04ffa9903473b11c906545e95b2666afb88 | [
"Apache-2.0"
] | 18 | 2017-03-07T19:13:18.000Z | 2021-01-05T00:35:30.000Z | sv/loading.py | HanMeh/bayestsa | d54ea04ffa9903473b11c906545e95b2666afb88 | [
"Apache-2.0"
] | null | null | null | sv/loading.py | HanMeh/bayestsa | d54ea04ffa9903473b11c906545e95b2666afb88 | [
"Apache-2.0"
] | 14 | 2016-12-27T00:09:40.000Z | 2020-12-27T19:23:53.000Z | from collections import OrderedDict
import numpy as np
from pandas import DataFrame
from sv import SVData, CorTiming
| 31.029412 | 92 | 0.629384 |
ea26327ae6b47dd4a986055221217b74fe00a65e | 3,741 | py | Python | sdk/network/azure-mgmt-privatedns/azure/mgmt/privatedns/models/virtual_network_link.py | iscai-msft/azure-sdk-for-python | 83715b95c41e519d5be7f1180195e2fba136fc0f | [
"MIT"
] | 8 | 2021-01-13T23:44:08.000Z | 2021-03-17T10:13:36.000Z | sdk/network/azure-mgmt-privatedns/azure/mgmt/privatedns/models/virtual_network_link.py | iscai-msft/azure-sdk-for-python | 83715b95c41e519d5be7f1180195e2fba136fc0f | [
"MIT"
] | 226 | 2019-07-24T07:57:21.000Z | 2019-10-15T01:07:24.000Z | sdk/network/azure-mgmt-privatedns/azure/mgmt/privatedns/models/virtual_network_link.py | iscai-msft/azure-sdk-for-python | 83715b95c41e519d5be7f1180195e2fba136fc0f | [
"MIT"
] | 2 | 2021-05-23T16:46:31.000Z | 2021-05-26T23:51:09.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 45.621951 | 139 | 0.654103 |
ea26c82baaca0ecaf568c61b139222fcd9a4d7cf | 2,986 | py | Python | 13_while_loops_challenges/58_guess_my_word.py | r7asmu7s/art_of_doing_python | 62a03bcca084046c319976fc308bf3de3a2d412d | [
"Unlicense"
] | null | null | null | 13_while_loops_challenges/58_guess_my_word.py | r7asmu7s/art_of_doing_python | 62a03bcca084046c319976fc308bf3de3a2d412d | [
"Unlicense"
] | null | null | null | 13_while_loops_challenges/58_guess_my_word.py | r7asmu7s/art_of_doing_python | 62a03bcca084046c319976fc308bf3de3a2d412d | [
"Unlicense"
] | null | null | null | import random
print('Welcome to the GUESS MY WORD APP.')
game_dict = {"sports": ['basketball', 'baseball', 'soccer', 'football', 'tennis',
'curling'],
"colors": ['orange', 'yellow', 'purple', 'aquamarine', 'violet', 'gold'],
"fruits": ['apple', 'banana', 'watermelon', 'peach', 'mango', 'strawberry'],
"classes": ['eng... | 35.129412 | 123 | 0.673141 |
ea26f9c2bf7b019ef8aa7a75cd7953f9dff2b3d1 | 5,247 | py | Python | crunch-shake/parse.py | zhiyanfoo/crunch-shake | ff2bc24615ad037601e912b1b8b3905e4f9d3540 | [
"MIT"
] | 1 | 2019-02-22T19:30:42.000Z | 2019-02-22T19:30:42.000Z | crunch-shake/parse.py | zhiyanfoo/crunch-shake | ff2bc24615ad037601e912b1b8b3905e4f9d3540 | [
"MIT"
] | null | null | null | crunch-shake/parse.py | zhiyanfoo/crunch-shake | ff2bc24615ad037601e912b1b8b3905e4f9d3540 | [
"MIT"
] | null | null | null | from utils import get_matcher
from lookup import ROMAN_TO_INT
from lines import Dialogue, Character, Instruction, Act, Scene
def get_speaking_characters(raw_play_lines, character_matcher):
""" Return a set of all character names
Parameters
----------
raw_play_lines : list of str
lines of th... | 37.212766 | 79 | 0.61559 |
ea281895334d9f6eb2e1d0053bb87208fe4b79cf | 428 | py | Python | backend/schemas/comment.py | golani04/bug-tracker | a3f91fe6a2202bd60721ab0b0f4bf46b0fb4d872 | [
"MIT"
] | null | null | null | backend/schemas/comment.py | golani04/bug-tracker | a3f91fe6a2202bd60721ab0b0f4bf46b0fb4d872 | [
"MIT"
] | 1 | 2021-05-21T16:15:52.000Z | 2021-05-21T16:15:52.000Z | backend/schemas/comment.py | golani04/bug-tracker | a3f91fe6a2202bd60721ab0b0f4bf46b0fb4d872 | [
"MIT"
] | null | null | null | from datetime import datetime
from uuid import UUID
from typing import Optional
from pydantic import BaseModel, Field
| 20.380952 | 89 | 0.75 |
ea2a96d721e0464fc48d0be7b3b409eb02575d4c | 1,216 | py | Python | videos_to_images.py | hikaruya8/dimotion | 68c1e561e2d26f49ada59a82ed9faae373718033 | [
"MIT"
] | null | null | null | videos_to_images.py | hikaruya8/dimotion | 68c1e561e2d26f49ada59a82ed9faae373718033 | [
"MIT"
] | null | null | null | videos_to_images.py | hikaruya8/dimotion | 68c1e561e2d26f49ada59a82ed9faae373718033 | [
"MIT"
] | null | null | null | import os
import subprocess #
# MELD.Rawtrain_splits, test_splits, dev_splits
dir_path = './MELD/MELD.Raw/dev_splits/'
# class_list = os.listdir(path=dir_path)
# print(class_list)
#
# for class_list_i in (class_list): #
#
# class_path = os.path.join(dir_path, class_list_i)
#
for file_name in os.list... | 27.636364 | 89 | 0.71875 |
ea2b625a6e5ae7073ed5a6fd9af95fcd3ef81b59 | 15,396 | py | Python | ur_driver/src/ur_driver/deserializeRT.py | Hugal31/universal_robot | 06d8b9e2f5f86aa54f9f2845f11edbc84e2f951e | [
"Apache-2.0",
"BSD-3-Clause"
] | 749 | 2015-01-20T22:14:20.000Z | 2022-03-31T07:31:51.000Z | ur_driver/src/ur_driver/deserializeRT.py | Hugal31/universal_robot | 06d8b9e2f5f86aa54f9f2845f11edbc84e2f951e | [
"Apache-2.0",
"BSD-3-Clause"
] | 431 | 2015-01-05T02:02:45.000Z | 2022-03-07T15:18:51.000Z | ur_driver/src/ur_driver/deserializeRT.py | Hugal31/universal_robot | 06d8b9e2f5f86aa54f9f2845f11edbc84e2f951e | [
"Apache-2.0",
"BSD-3-Clause"
] | 788 | 2015-01-12T08:11:21.000Z | 2022-03-30T11:53:01.000Z | from __future__ import print_function
import struct
import copy
#this class handles different protocol versions
#this parses RobotStateRT for versions = v1.5
#http://wiki03.lynero.net/Technical/RealTimeClientInterface?foswiki_redirect_cache=9b4574b30760f720c6f79c5f1f2203dd
#this parses RobotStateRT for versions <= ... | 36.657143 | 115 | 0.58067 |
ea2b8336beb92adf459272aedc193a552076d2fb | 1,457 | py | Python | Data-Science/code.py | shikharratna/ga-learner-dsmp-repo | a852a8759679dddcab3e59930240d22fcab9ba73 | [
"MIT"
] | null | null | null | Data-Science/code.py | shikharratna/ga-learner-dsmp-repo | a852a8759679dddcab3e59930240d22fcab9ba73 | [
"MIT"
] | null | null | null | Data-Science/code.py | shikharratna/ga-learner-dsmp-repo | a852a8759679dddcab3e59930240d22fcab9ba73 | [
"MIT"
] | null | null | null | # --------------
#Header files
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
data=pd.read_csv(path)
#path of the data file- path
#Code starts here
data.Gender.replace('-','Agender',inplace=True)
gender_count=data.Gender.value_counts()
gender_count.plot(kind='bar')
# ----------... | 21.746269 | 59 | 0.710364 |
ea2b8e4736bc02950c2c39a75c6d5d79e88d9882 | 14,205 | py | Python | stupidb/core.py | mrcrnkovich/stupidb | 4274f60b7f8f2455c0031c73e053964d4d3e3e1d | [
"Apache-2.0"
] | 43 | 2018-12-29T22:14:55.000Z | 2022-03-17T03:38:16.000Z | stupidb/core.py | mrcrnkovich/stupidb | 4274f60b7f8f2455c0031c73e053964d4d3e3e1d | [
"Apache-2.0"
] | 102 | 2021-07-19T21:20:22.000Z | 2022-03-22T02:57:02.000Z | stupidb/core.py | mrcrnkovich/stupidb | 4274f60b7f8f2455c0031c73e053964d4d3e3e1d | [
"Apache-2.0"
] | 3 | 2021-12-04T19:14:33.000Z | 2022-01-08T17:28:36.000Z | """StupiDB. The stupidest database you'll ever come across.
This is project designed to illustate the concepts that underly a typical
relational database implementation, starting at naive execution of table-stakes
features up to rule-based query optimization.
.. warning::
Please do not use this for any other reaso... | 28.930754 | 88 | 0.612672 |
ea2bb80a4845b58954c6062cd938e68d554b3abd | 169 | py | Python | www/aeki/cgi/aeki_config.py | otuk/aeki | 6de9629a74698737e07ae86650925e3051ead5ee | [
"MIT"
] | null | null | null | www/aeki/cgi/aeki_config.py | otuk/aeki | 6de9629a74698737e07ae86650925e3051ead5ee | [
"MIT"
] | null | null | null | www/aeki/cgi/aeki_config.py | otuk/aeki | 6de9629a74698737e07ae86650925e3051ead5ee | [
"MIT"
] | null | null | null | aeki_config = {
"AEKI_HOST": "localhost", # rename to hostname for cgi if you like
"IOT_HOST":"localhost" # assumes iot test device is also on local host
}
| 24.142857 | 75 | 0.674556 |
ea2bf117e4da0f0fabb4774dddd8eef0987316da | 6,540 | py | Python | Baseline/NABA/naba.py | sarthak-chakraborty/PARIMA | c6ceb6e17fc3c934603fa843febc42a8b6ee5bb1 | [
"MIT"
] | 13 | 2021-03-06T16:53:33.000Z | 2022-02-04T20:28:13.000Z | Baseline/NABA/naba.py | sarthak-chakraborty/Adaptive-360-video | c6ceb6e17fc3c934603fa843febc42a8b6ee5bb1 | [
"MIT"
] | 6 | 2021-06-02T08:08:09.000Z | 2022-03-12T00:58:26.000Z | Baseline/NABA/naba.py | sarthak-chakraborty/Adaptive-360-video | c6ceb6e17fc3c934603fa843febc42a8b6ee5bb1 | [
"MIT"
] | 3 | 2021-05-26T03:32:04.000Z | 2021-07-17T14:34:20.000Z | import numpy as np
import math
import pickle
def get_data(data, frame_nos, dataset, topic, usernum, fps, milisec, width, height, view_width, view_height):
"""
Read and return the viewport data
"""
VIEW_PATH = '../../Viewport/'
view_info = pickle.load(open(VIEW_PATH + 'ds{}/viewport_ds{}_topic{}_user... | 29.459459 | 146 | 0.669266 |
ea2cea171e2a0a408098703594d6df6015c2788a | 333 | py | Python | python/primes.py | matheuskiser/pdx_code_guild | 49a5c62fb468253eb4d9a1fb11166df79bb10873 | [
"MIT"
] | null | null | null | python/primes.py | matheuskiser/pdx_code_guild | 49a5c62fb468253eb4d9a1fb11166df79bb10873 | [
"MIT"
] | null | null | null | python/primes.py | matheuskiser/pdx_code_guild | 49a5c62fb468253eb4d9a1fb11166df79bb10873 | [
"MIT"
] | null | null | null | """
User picks number n and program returns all prime number from 0 until n.
"""
number_picked = int(raw_input("Pick a number: "))
print 2
for i in range(3, number_picked, 2):
if is_prime(i):
print i, | 17.526316 | 72 | 0.600601 |
ea2d0db0e5013c516e20cfd3f224e6f24b6a4de8 | 9,331 | py | Python | gateway/settings.py | 42cc/dashr-gw | 45ec8f99a730b97b80a4068a0e9ae8991904038e | [
"MIT"
] | 2 | 2018-02-06T12:18:49.000Z | 2018-02-08T08:26:56.000Z | gateway/settings.py | 42cc/dashr-gw | 45ec8f99a730b97b80a4068a0e9ae8991904038e | [
"MIT"
] | null | null | null | gateway/settings.py | 42cc/dashr-gw | 45ec8f99a730b97b80a4068a0e9ae8991904038e | [
"MIT"
] | 3 | 2018-02-12T02:14:11.000Z | 2020-05-21T19:25:41.000Z | """
Django settings for gateway project.
Generated by 'django-admin startproject' using Django 1.11.1.
For more information on this file, see
https://docs.djangoproject.com/en/1.11/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.11/ref/settings/
"""
import os... | 27.606509 | 79 | 0.647305 |
ea2f6cab964b758bde6ba04ace1b9ebcbb9b589e | 1,961 | py | Python | basics-data-structure/array/processQueries.py | nishantml/Data-Structure-And-Algorithms | 1f75bdbddb5fa4bccba762515460c73280cde65d | [
"MIT"
] | null | null | null | basics-data-structure/array/processQueries.py | nishantml/Data-Structure-And-Algorithms | 1f75bdbddb5fa4bccba762515460c73280cde65d | [
"MIT"
] | null | null | null | basics-data-structure/array/processQueries.py | nishantml/Data-Structure-And-Algorithms | 1f75bdbddb5fa4bccba762515460c73280cde65d | [
"MIT"
] | 1 | 2020-08-25T19:05:19.000Z | 2020-08-25T19:05:19.000Z | """
Given the array queries of positive integers between 1 and m, you have to process all queries[i] (from i=0 to i=queries.length-1) according to the following rules:
In the beginning, you have the permutation P=[1,2,3,...,m].
For the current i, find the position of queries[i] in the permutation P (indexing from 0) ... | 33.810345 | 221 | 0.63284 |
ea3096bc5a6227f2c2556b76f3b507bcc714068c | 1,876 | py | Python | setup.py | david26694/sktools | 28cb8179b4c895cf00aea1399b2677158bd35bd8 | [
"MIT"
] | 10 | 2020-05-03T09:52:06.000Z | 2021-11-30T07:38:27.000Z | setup.py | david26694/sktools | 28cb8179b4c895cf00aea1399b2677158bd35bd8 | [
"MIT"
] | 7 | 2020-11-19T16:08:09.000Z | 2021-06-17T11:37:31.000Z | setup.py | david26694/sktools | 28cb8179b4c895cf00aea1399b2677158bd35bd8 | [
"MIT"
] | 3 | 2020-06-21T08:46:31.000Z | 2021-08-17T11:32:20.000Z | #!/usr/bin/env python
"""The setup script."""
from setuptools import setup, find_packages
with open('README.rst') as readme_file:
readme = readme_file.read()
with open('HISTORY.rst') as history_file:
history = history_file.read()
requirements = ['scikit-learn', 'pandas', 'scipy', 'numpy', 'category_encoder... | 26.8 | 80 | 0.624733 |
ea319b174e521eedd1eb8788136bfce6b273b847 | 1,982 | py | Python | test_autogalaxy/util/test_error_util.py | caoxiaoyue/PyAutoGalaxy | ad2b4b27404f5bf0f65ba9a0cd7c3ee6570e2d05 | [
"MIT"
] | 7 | 2021-05-29T08:46:29.000Z | 2022-01-23T14:06:20.000Z | test_autogalaxy/util/test_error_util.py | caoxiaoyue/PyAutoGalaxy | ad2b4b27404f5bf0f65ba9a0cd7c3ee6570e2d05 | [
"MIT"
] | 3 | 2021-01-06T09:42:44.000Z | 2022-03-10T15:52:23.000Z | test_autogalaxy/util/test_error_util.py | caoxiaoyue/PyAutoGalaxy | ad2b4b27404f5bf0f65ba9a0cd7c3ee6570e2d05 | [
"MIT"
] | 3 | 2021-02-10T07:45:16.000Z | 2022-01-21T17:36:40.000Z | from autofit.non_linear.samples.pdf import quantile
import autogalaxy as ag
import numpy as np
| 27.527778 | 73 | 0.617558 |
ea3310d718c746d6f372cb145583373a0ec60324 | 5,967 | py | Python | src/whereshallwemeet/caller.py | bizzinho/whereShallWeMeet | 449cc1aeb9334688392b8b3ffa4b6def1f308bc5 | [
"MIT"
] | null | null | null | src/whereshallwemeet/caller.py | bizzinho/whereShallWeMeet | 449cc1aeb9334688392b8b3ffa4b6def1f308bc5 | [
"MIT"
] | null | null | null | src/whereshallwemeet/caller.py | bizzinho/whereShallWeMeet | 449cc1aeb9334688392b8b3ffa4b6def1f308bc5 | [
"MIT"
] | null | null | null | import os
import pathlib
import sys
import googlemaps
from datetime import datetime as dt
from typing import Union, Tuple, List
| 28.6875 | 79 | 0.537121 |
ea332701c21bd1585589dad2180e6c25dfdb1886 | 4,451 | py | Python | iCount/plotting/plot_rnamap.py | genialis/iCount | 80dba0f7292a364c62843d71e76c1b22e6268e14 | [
"MIT"
] | null | null | null | iCount/plotting/plot_rnamap.py | genialis/iCount | 80dba0f7292a364c62843d71e76c1b22e6268e14 | [
"MIT"
] | 1 | 2021-09-30T12:55:37.000Z | 2021-09-30T12:55:37.000Z | iCount/plotting/plot_rnamap.py | ulelab/iCount | b9dc1b21b80e4dae77b3ac33734514091fbe3151 | [
"MIT"
] | 4 | 2021-03-23T12:38:55.000Z | 2021-05-14T10:10:00.000Z | """.. Line to protect from pydocstyle D205, D400.
Plot distribution RNA-map
-------------------------
Plot distribution of crosslinks relative to landmark of specific type.
"""
import os
import pandas as pd
import iCount
# pylint: disable=wrong-import-order
import matplotlib
# Force matplotlib to not use any Xwind... | 28.350318 | 109 | 0.625253 |
ea33e9758376d259b5c2e71586d76551a1685aa4 | 7,772 | py | Python | search_and_change/search_and_change_num.py | physics-sp/frida-tools | 8ae44d041417152f0717f48513043a320649e9e9 | [
"MIT"
] | 5 | 2020-02-08T12:25:40.000Z | 2021-08-25T16:49:59.000Z | search_and_change/search_and_change_num.py | physics-sp/frida-tools | 8ae44d041417152f0717f48513043a320649e9e9 | [
"MIT"
] | null | null | null | search_and_change/search_and_change_num.py | physics-sp/frida-tools | 8ae44d041417152f0717f48513043a320649e9e9 | [
"MIT"
] | 4 | 2020-06-03T04:27:02.000Z | 2021-06-07T15:16:20.000Z | #! /usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
import time
try:
import frida
except ImportError:
sys.exit('install frida\nsudo pip3 install frida')
# number of times that 'old_value' was find in memory
matches = None
if __name__ == '__main__':
argc = len(sys.argv)
if argc < 4 or argc > 11:
usage = ... | 30.478431 | 151 | 0.634328 |
ea35cc90fef2c59b54455f8db397478309f4335a | 17,435 | py | Python | text_extensions_for_pandas/jupyter/span.py | ZachEichen/text-extensions-for-pandas | b3132c26806d57ec168818e43138e55e2583acdf | [
"Apache-2.0"
] | 193 | 2020-05-11T21:15:57.000Z | 2022-03-23T09:59:32.000Z | text_extensions_for_pandas/jupyter/span.py | ZachEichen/text-extensions-for-pandas | b3132c26806d57ec168818e43138e55e2583acdf | [
"Apache-2.0"
] | 207 | 2020-05-07T17:38:13.000Z | 2022-02-11T18:02:13.000Z | text_extensions_for_pandas/jupyter/span.py | ZachEichen/text-extensions-for-pandas | b3132c26806d57ec168818e43138e55e2583acdf | [
"Apache-2.0"
] | 28 | 2020-05-07T16:43:52.000Z | 2022-02-25T15:21:18.000Z | #
# Copyright (c) 2021 IBM Corp.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writi... | 40.735981 | 220 | 0.562604 |
ea371b2906f6a90db71a9dd98eef0ab8bb4b4389 | 243 | py | Python | Comprehensions/05. Filter Numbers.py | milenpenev/Python_Advanced | 2f32012dd682fa9541bbf5fa155f6bdbcfa946de | [
"MIT"
] | null | null | null | Comprehensions/05. Filter Numbers.py | milenpenev/Python_Advanced | 2f32012dd682fa9541bbf5fa155f6bdbcfa946de | [
"MIT"
] | null | null | null | Comprehensions/05. Filter Numbers.py | milenpenev/Python_Advanced | 2f32012dd682fa9541bbf5fa155f6bdbcfa946de | [
"MIT"
] | null | null | null |
start = int(input())
end = int(input())
print([int(_) for _ in range(start, end + 1) if is_divisible(_)])
| 22.090909 | 66 | 0.654321 |
ea37e30aaa000862cd2a845865431af3031ecbc6 | 188 | py | Python | src/plugins/hk_reporter/platform/__init__.py | panda361/nonebot-hk-reporter | b94f6cc31844e9307e355fc81f387ea42501a014 | [
"MIT"
] | null | null | null | src/plugins/hk_reporter/platform/__init__.py | panda361/nonebot-hk-reporter | b94f6cc31844e9307e355fc81f387ea42501a014 | [
"MIT"
] | null | null | null | src/plugins/hk_reporter/platform/__init__.py | panda361/nonebot-hk-reporter | b94f6cc31844e9307e355fc81f387ea42501a014 | [
"MIT"
] | null | null | null | from .bilibili import Bilibili
from .rss import Rss
from .weibo import Weibo
from .utils import check_sub_target
from .platform import PlatformNoTarget
from .utils import platform_manager
| 26.857143 | 38 | 0.840426 |
ea384cdec08dafa6c13c92feb566f42fb716a71c | 13,837 | py | Python | Decision_Maker-Temp_Humid/Temp_Humid_Mqtt_Controller.py | cantiusdeepan/Cadrea | bdd341f8e9ee7a5103611d5bdac1a820ab9fdd81 | [
"MIT"
] | null | null | null | Decision_Maker-Temp_Humid/Temp_Humid_Mqtt_Controller.py | cantiusdeepan/Cadrea | bdd341f8e9ee7a5103611d5bdac1a820ab9fdd81 | [
"MIT"
] | null | null | null | Decision_Maker-Temp_Humid/Temp_Humid_Mqtt_Controller.py | cantiusdeepan/Cadrea | bdd341f8e9ee7a5103611d5bdac1a820ab9fdd81 | [
"MIT"
] | null | null | null | ####### File will publish a score between 0-5 on how good an idea
# (0- Don't open, 5 - Very good conditions for opening window)
# it is to open the window to clear the room given the current internal and external weather conditions
# Factors considered - ________
# Internal temperature
# External Temperature (Effect ... | 42.185976 | 152 | 0.627376 |
ea38f8206042b01f8b467e0f3e3183966c12c73d | 6,538 | py | Python | pynagios/perf_data.py | jimbrowne/pynagios | f144b5507b1b3966a8f587bd07d0c7845db90182 | [
"MIT"
] | null | null | null | pynagios/perf_data.py | jimbrowne/pynagios | f144b5507b1b3966a8f587bd07d0c7845db90182 | [
"MIT"
] | null | null | null | pynagios/perf_data.py | jimbrowne/pynagios | f144b5507b1b3966a8f587bd07d0c7845db90182 | [
"MIT"
] | 1 | 2022-02-11T09:27:21.000Z | 2022-02-11T09:27:21.000Z | """
Tools for creating performance data for Nagios plugin responses.
If you're adding performance data to a :py:class:`~pynagios.response.Response`
object, then :py:func:`~pynagios.response.Response.set_perf_data` can be
called instead of having to create an entire :py:class:`PerfData` object.
"""
import re
from pynag... | 33.701031 | 91 | 0.599725 |
ea3a1bdee6e7843b3236745c73bb61d6e0e2dd05 | 354 | py | Python | py/priq.py | frasertweedale/drill | 4e71b5348b633fd9beecb243c046f19ddfe131fe | [
"MIT"
] | 1 | 2020-09-02T17:25:26.000Z | 2020-09-02T17:25:26.000Z | py/priq.py | frasertweedale/drill | 4e71b5348b633fd9beecb243c046f19ddfe131fe | [
"MIT"
] | null | null | null | py/priq.py | frasertweedale/drill | 4e71b5348b633fd9beecb243c046f19ddfe131fe | [
"MIT"
] | null | null | null | import heap
| 15.391304 | 33 | 0.59322 |
ea3a5b10c9e85e5dacebb77bf4f8cac72e39e843 | 3,249 | py | Python | report/api/app.py | Aaron-DH/openstack_sample_project | 711a56311806d52b632e4394743bd4bdbacb103a | [
"Apache-2.0"
] | null | null | null | report/api/app.py | Aaron-DH/openstack_sample_project | 711a56311806d52b632e4394743bd4bdbacb103a | [
"Apache-2.0"
] | null | null | null | report/api/app.py | Aaron-DH/openstack_sample_project | 711a56311806d52b632e4394743bd4bdbacb103a | [
"Apache-2.0"
] | null | null | null | from wsgiref import simple_server
import os
from oslo_config import cfg
from oslo_log import log as logging
from paste import deploy
import pecan
from report.api import hooks
from report.agent import rpcapi
LOG = logging.getLogger(__name__)
CONF = cfg.CONF
pecan_opts = [
cfg.StrOpt('root',
defaul... | 25.382813 | 75 | 0.596183 |
ea3b4a5064c4a8a783500e634bbd859b7a0ab263 | 2,318 | py | Python | cahoots/parsers/email.py | SerenitySoftwareLLC/cahoots | 866336c51436343ff5e56f83f89dddc82a5693a3 | [
"MIT"
] | 8 | 2015-03-24T15:34:40.000Z | 2016-12-24T22:09:47.000Z | cahoots/parsers/email.py | hickeroar/cahoots | 8fa795d7d933507c6cbf490bd20c1b3562689c5a | [
"MIT"
] | 34 | 2015-03-06T06:27:54.000Z | 2015-05-27T05:23:27.000Z | cahoots/parsers/email.py | hickeroar/cahoots | 8fa795d7d933507c6cbf490bd20c1b3562689c5a | [
"MIT"
] | 4 | 2015-04-05T06:24:50.000Z | 2015-05-30T02:40:21.000Z | """
The MIT License (MIT)
Copyright (c) Serenity Software, LLC
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, m... | 35.661538 | 78 | 0.716566 |
ea3cf21c67467cbaac5cfdc96125b0af5671f94a | 326 | py | Python | src/praxxis/model/update_model.py | blimongi/praxxis | 4c2496c89d1d26d01b91896496342ca60f3d15ae | [
"MIT"
] | 9 | 2019-07-31T23:50:16.000Z | 2021-08-21T00:43:44.000Z | src/praxxis/model/update_model.py | blimongi/praxxis | 4c2496c89d1d26d01b91896496342ca60f3d15ae | [
"MIT"
] | 22 | 2019-08-01T00:37:53.000Z | 2020-03-31T05:01:57.000Z | src/praxxis/model/update_model.py | blimongi/praxxis | 4c2496c89d1d26d01b91896496342ca60f3d15ae | [
"MIT"
] | 7 | 2020-01-03T02:28:36.000Z | 2021-05-13T20:59:19.000Z | """
This file requests a new model from the storage pool.
"""
import os
import urllib3
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
import requests
from requests.auth import HTTPBasicAuth
from src.praxxis.sqlite import sqlite_telemetry
def update_model():
"""TODO: implement this"""
... | 16.3 | 67 | 0.776074 |
ea3d55b836b67869362d50e8f2439e202c28d2d7 | 40,516 | py | Python | Process_Data/audio_processing.py | Wenhao-Yang/DeepSpeaker-pytorch | 99eb8de3357c85e2b7576da2a742be2ffd773ead | [
"MIT"
] | 8 | 2020-08-26T13:32:56.000Z | 2022-01-18T21:05:46.000Z | Process_Data/audio_processing.py | Wenhao-Yang/DeepSpeaker-pytorch | 99eb8de3357c85e2b7576da2a742be2ffd773ead | [
"MIT"
] | 1 | 2020-07-24T17:06:16.000Z | 2020-07-24T17:06:16.000Z | Process_Data/audio_processing.py | Wenhao-Yang/DeepSpeaker-pytorch | 99eb8de3357c85e2b7576da2a742be2ffd773ead | [
"MIT"
] | 5 | 2020-12-11T03:31:15.000Z | 2021-11-23T15:57:55.000Z | #!/usr/bin/env python
# encoding: utf-8
import os
import pathlib
import traceback
<<<<<<< HEAD
=======
import random
>>>>>>> Server/Server
import librosa
import numpy as np
import soundfile as sf
import torch
import torch.nn.utils.rnn as rnn_utils
from pydub import AudioSegment
from python_speech_features import fbank... | 34.718081 | 197 | 0.626518 |
ea3f6b2815870dddcf136d6b81a2a73d2ad33c33 | 3,822 | py | Python | gamestonk_terminal/stocks/dark_pool_shorts/stockgrid_model.py | minhhoang1023/GamestonkTerminal | 195dc19b491052df080178c0cc6a9d535a91a704 | [
"MIT"
] | 1 | 2022-03-15T13:05:40.000Z | 2022-03-15T13:05:40.000Z | gamestonk_terminal/stocks/dark_pool_shorts/stockgrid_model.py | minhhoang1023/GamestonkTerminal | 195dc19b491052df080178c0cc6a9d535a91a704 | [
"MIT"
] | null | null | null | gamestonk_terminal/stocks/dark_pool_shorts/stockgrid_model.py | minhhoang1023/GamestonkTerminal | 195dc19b491052df080178c0cc6a9d535a91a704 | [
"MIT"
] | null | null | null | """ Stockgrid View """
__docformat__ = "numpy"
import logging
from typing import List, Tuple
import pandas as pd
import requests
from gamestonk_terminal.decorators import log_start_end
logger = logging.getLogger(__name__)
| 25.144737 | 94 | 0.599686 |
ea410dc0122ec7353bc207c7a8f3f53b18676252 | 2,918 | py | Python | Communal.Network.v.py | HolocronFoundation/Communal.Network | 41eff8ac3ca54897f19cd584e1cfc58f9326ab80 | [
"CC0-1.0"
] | 1 | 2019-03-08T18:41:26.000Z | 2019-03-08T18:41:26.000Z | Communal.Network.v.py | HolocronFoundation/Communal.Network | 41eff8ac3ca54897f19cd584e1cfc58f9326ab80 | [
"CC0-1.0"
] | null | null | null | Communal.Network.v.py | HolocronFoundation/Communal.Network | 41eff8ac3ca54897f19cd584e1cfc58f9326ab80 | [
"CC0-1.0"
] | null | null | null | item: event({channel_index: indexed(uint256), reply_to_index: indexed(uint256), metadata: indexed(uint256)})
# item_index is the index of the sent item in C.N.
# TODO: Implement channeling
# Channel management
struct channel:
owner: address
name_display: bytes32
name_unique: bytes32 # TODO: finish impleme... | 39.972603 | 207 | 0.765593 |
ea4135e0971c3f38be4f8fa5f8203ba013d2457e | 2,414 | py | Python | floodsystem/geo.py | Ericsong2333/partia-flood-warning-system | 545a257f601535c62b3341059fdf2203e06c8e17 | [
"MIT"
] | null | null | null | floodsystem/geo.py | Ericsong2333/partia-flood-warning-system | 545a257f601535c62b3341059fdf2203e06c8e17 | [
"MIT"
] | null | null | null | floodsystem/geo.py | Ericsong2333/partia-flood-warning-system | 545a257f601535c62b3341059fdf2203e06c8e17 | [
"MIT"
] | null | null | null | # Copyright (C) 2018 Garth N. Wells
#
# SPDX-License-Identifier: MIT
"""This module contains a collection of functions related to
geographical data.
"""
from floodsystem.utils import sorted_by_key # noqa
import math
from haversine import haversine,Unit
def stations_within_radius(statio... | 28.4 | 130 | 0.609776 |
ea4292de7cf5cedb5b3ae53916a825188ffc20c5 | 852 | py | Python | codes/Constant.py | YasserDaho/Saliency-3DSal | 4a8ff399c8b24ccc88bb04311d6f9797d0cae2d1 | [
"MIT"
] | 2 | 2020-04-19T13:25:47.000Z | 2020-05-08T17:14:38.000Z | codes/Constant.py | YasserDaho/Saliency-3DSal | 4a8ff399c8b24ccc88bb04311d6f9797d0cae2d1 | [
"MIT"
] | null | null | null | codes/Constant.py | YasserDaho/Saliency-3DSal | 4a8ff399c8b24ccc88bb04311d6f9797d0cae2d1 | [
"MIT"
] | 1 | 2019-09-24T17:42:08.000Z | 2019-09-24T17:42:08.000Z | """""
Path to the Image Dataset directories
"""""
TR_IMG_DIR = './WORKSPACE/DATASET/annotation/'
GT_IMG_DIR = './WORKSPACE/DATASET/annotation/'
"""""
Path to Numpy Video directories
"""""
TR_VID_DIR = './WORKSPACE/DATA/TR_DATA/'
GT_VID_DIR = './WORKSPACE/DATA/GT_DATA/'
"""""
Path to Numpy batches directories
""""... | 17.75 | 57 | 0.676056 |
ea436f37e311aec310471106ec69e43fc23e41c4 | 1,152 | py | Python | cannlytics/lims/qc.py | mindthegrow/cannlytics | c266bc1169bef75214985901cd3165f415ad9ba7 | [
"MIT"
] | 7 | 2021-05-31T15:30:22.000Z | 2022-02-05T14:12:31.000Z | cannlytics/lims/qc.py | mindthegrow/cannlytics | c266bc1169bef75214985901cd3165f415ad9ba7 | [
"MIT"
] | 17 | 2021-06-09T01:04:27.000Z | 2022-03-18T14:48:12.000Z | cannlytics/lims/qc.py | mindthegrow/cannlytics | c266bc1169bef75214985901cd3165f415ad9ba7 | [
"MIT"
] | 5 | 2021-06-07T13:52:33.000Z | 2021-08-04T00:09:39.000Z | """
Quality Control Tools | Cannlytics
Author: Keegan Skeate <keegan@cannlytics.com>
Created: 2/6/2021
Updated: 6/23/2021
License: MIT License <https://opensource.org/licenses/MIT>
Perform various quality control checks and analyses to ensure
that your laboratory is operating as desired.
TODO:
- Trend an... | 24.510638 | 69 | 0.737847 |
ea43b6473a80169e05c17d102859f981a7b958d9 | 76 | py | Python | containershare/validator/__init__.py | vsoch/containershare-python | 9db2a4d7c7fcb0c21edd5d2e2b5396d7108fe392 | [
"BSD-3-Clause"
] | null | null | null | containershare/validator/__init__.py | vsoch/containershare-python | 9db2a4d7c7fcb0c21edd5d2e2b5396d7108fe392 | [
"BSD-3-Clause"
] | 1 | 2018-07-30T22:11:56.000Z | 2018-07-30T22:11:56.000Z | containershare/validator/__init__.py | vsoch/containershare-python | 9db2a4d7c7fcb0c21edd5d2e2b5396d7108fe392 | [
"BSD-3-Clause"
] | null | null | null | from .library import LibraryValidator
from .runtime import RuntimeValidator
| 25.333333 | 37 | 0.868421 |
ea442c2de4ff492dd4374c04a850d9f728259783 | 343 | py | Python | packages/pyright-internal/src/tests/samples/genericTypes1.py | sransara/pyright | 4e117682c946b60f2b24fd75a07736954b21f158 | [
"MIT"
] | 1 | 2020-12-28T16:58:24.000Z | 2020-12-28T16:58:24.000Z | packages/pyright-internal/src/tests/samples/genericTypes1.py | sransara/pyright | 4e117682c946b60f2b24fd75a07736954b21f158 | [
"MIT"
] | 1 | 2021-08-31T20:37:43.000Z | 2021-08-31T20:37:43.000Z | packages/pyright-internal/src/tests/samples/genericTypes1.py | sransara/pyright | 4e117682c946b60f2b24fd75a07736954b21f158 | [
"MIT"
] | null | null | null | # This sample tests that the type analyzer flags as an error
# an attempt to assign to or delete a generic type.
from typing import Dict
# This should generate an error because assignment
# of generic types isn't allowed.
Dict[str, int] = {}
# This should generate an error because deletion
# of generic types isn't a... | 24.5 | 60 | 0.755102 |