max_stars_repo_path stringlengths 3 269 | max_stars_repo_name stringlengths 4 119 | max_stars_count int64 0 191k | id stringlengths 1 7 | content stringlengths 6 1.05M | score float64 0.23 5.13 | int_score int64 0 5 |
|---|---|---|---|---|---|---|
LeetCode/leetcode 691.py | Xi-Plus/OJ-Code | 0 | 12780751 | class Solution:
def minStickers(self, stickers, target):
targetdict = {}
for char in target:
if char not in targetdict:
targetdict[char] = 0
targetdict[char] += 1
pool = [{'cost': 0}]
for sticker in stickers:
for i in range(len(poo... | 3.453125 | 3 |
tests/unit/streaming_hmm/utils.py | cylance/perturbed-sequence-model | 4 | 12780752 | import numpy as np
import pytest
def get_argmax_of_matrix_as_tuple(mat):
return np.unravel_index(mat.argmax(), mat.shape)
| 2.171875 | 2 |
client/sdk/python/network/network_pb2_grpc.py | gofortwos/micro | 37 | 12780753 | # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
"""Client and server classes corresponding to protobuf-defined services."""
import grpc
from network import network_pb2 as network_dot_network__pb2
class NetworkStub(object):
"""Network service is usesd to gain visibility into networks
"""... | 2.21875 | 2 |
src/steps/step_configure.py | RLogik/phpytex | 0 | 12780754 | <gh_stars>0
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# IMPORTS
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
from src.local.misc import *;
from src.local.system import *;
from src.local.typing import *;
from src.core.log im... | 1.570313 | 2 |
OpenFOAM-wrapper/beam_solver.py | Lenferd/ANSYS-OpenFOAM | 0 | 12780755 | from executor.executor import Executor
from argparse import ArgumentParser
from configs.mesh import add_mesh_switch_arguments
from configs.mesh import SimpleBlockMeshConfig, SimpleBlockMeshArguments
from configs.mesh import RailMeshArguments, RailMeshConfig
from configs.fragmentation import FragmentationConfig, Fragmen... | 2.125 | 2 |
apps/tasks/templatetags/taskfilter.py | raiots/CHRDITools | 0 | 12780756 | <reponame>raiots/CHRDITools
from django import template
from datetime import datetime
from dateutil.relativedelta import relativedelta
register = template.Library()
@register.filter(name='quarter_cate')
def quarter_cate(value, year_quarter):
year_now = datetime.now().strftime('%Y')
month = value.deadline.st... | 2.671875 | 3 |
tests/test_remix.py | audeering/audresample | 2 | 12780757 | from glob import glob
from os import path
import pytest
import audiofile as af
import numpy as np
import audresample
def set_ones(signal, channels):
signal[channels, :] = 1
return signal
def mixdown(signal):
return np.atleast_2d(np.mean(signal, axis=0))
@pytest.mark.parametrize(
'signal, channel... | 2.328125 | 2 |
notebooks/helpers.py | thomasfrederikhoeck/ml_tooling | 7 | 12780758 | <gh_stars>1-10
import numpy as np
import re
title_map = {
"Mr.": "Mr",
"Miss.": "Miss",
"Mrs.": "Mrs",
"Master.": "Master",
"Dr.": "Other",
"Rev.": "Other",
"Major.": "Other",
"Col.": "Other",
"Mlle.": "Miss",
"Lady.": "Other",
"Jonkheer.": "Other",
"Ms.": "Miss",
"C... | 2.6875 | 3 |
ons_ras_common/ons_rest_exercise.py | ONSdigital/ras-common | 1 | 12780759 | <reponame>ONSdigital/ras-common
"""
Generic Configuration tool for Micro-Service environment discovery
License: MIT
Copyright (c) 2017 Crown Copyright (Office for National Statistics)
ONSCase wraps routines used to access the case service
"""
class ONSExercise(object):
"""
This class is designe... | 2.40625 | 2 |
src/units/_identificator.py | ferrocactus/cellar | 7 | 12780760 | <gh_stars>1-10
import json
from abc import abstractmethod
from functools import reduce
import os
import numpy as np
from scipy.stats import hypergeom
from ..log import setup_logger
from ..utils.tools import parse
from ._unit import Unit
this_dir = os.path.dirname(__file__)
def join_root(path):
return os.path.ab... | 2.53125 | 3 |
jass/logic/player.py | gregunz/JassAI | 0 | 12780761 | from typing import List, Dict, Optional
from jass.agents.agent import Agent
from jass.agents.state import PlayCardState, ChooseTrumpState
from jass.logic.card import Card, Suit
from jass.logic.exceptions import IllegalMoveError
from jass.logic.hand import Hand
class Player:
def __init__(self, name: str, agent: A... | 2.84375 | 3 |
tests/fixtures/abaco.py | SD2E/python-datacatalog | 0 | 12780762 | <reponame>SD2E/python-datacatalog<gh_stars>0
import pytest
from datacatalog.identifiers import abaco
__all__ = ['nonce_id', 'manager_actor_id',
'actor_id', 'exec_id', 'worker_id']
@pytest.fixture(scope='session')
def nonce_id():
return abaco.nonceid.generate()
@pytest.fixture(scope='session')
def mana... | 2.234375 | 2 |
next_release_problem/problems.py | mandriv/next-release-problem | 0 | 12780763 | <reponame>mandriv/next-release-problem
from abc import ABCMeta, abstractmethod
from platypus import Problem, Binary, Real, RandomGenerator
class NRP_Problem():
__metaclass__ = ABCMeta
def __init__(self, requirements, clients, budget_constraint):
self.requirements = requirements.copy()
self.c... | 2.71875 | 3 |
calculator.py | savrus/algory | 2 | 12780764 | #!/usr/bin/python
import sys
all_tokens = dict([
["_", -1],
["!", 0], ["~", 0], ["^", 1], ["&", 1], ["|", 1],
["**", 2], ["*", 3], ["/", 3], ["%", 3], ["+", 4], ["-", 4],
["&&", 6], ["||", 6], ["==", 7], ["!=", 7], ["<", 7], [">", 7], ["<=", 7], [">=", 7],
["=", 8], ["(", 99], [")", 99]])
unary = ... | 3.375 | 3 |
build/lib/agent/mapping.py | SAEONData/textfile-harvester | 0 | 12780765 | mapping = {
"ORIGIN": {"key": "XXXXX", "default": "ZZZZZ"},
"REQUEST_ID": {"key": "XXXXX", "default": "ZZZZZ"},
"LANDSAT_SCENE_ID": {"key": "XXXXX", "default": "ZZZZZ"},
"COLLECTION_NUMBER": {"key": "XXXXX", "default": "ZZZZZ"},
"FILE_DATE": {"key": "publicationYear", "default": "2018", 'slice': (0,... | 1.515625 | 2 |
portfolio/migrations/0008_auto_20190225_1927.py | sarath196/Portfolio-Web-Theme | 3 | 12780766 | # Generated by Django 2.0 on 2019-02-25 19:27
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('portfolio', '0007_auto_20190225_1849'),
]
operations = [
migrations.AddField(
model_name='portfoliopage',
name='git_ur... | 1.53125 | 2 |
oct_26_2019/myproject.py | SoundBoySelecta/BDT_1160_homework | 0 | 12780767 | <filename>oct_26_2019/myproject.py
import sys
import pandas as pd
import matplotlib.pyplot as plt
import os
file_name = sys.argv[1]
#print(file_name)
df = pd.read_csv(file_name,
sep=',',
header=None)
df.columns = ['id', 'diagnosis', 'mean radius', 'mean texture', 'mean perimeter', '... | 2.84375 | 3 |
trainer/rename.py | Originofamonia/pylon | 16 | 12780768 | def rename(newname):
"""define the name of the function"""
def decorator(f):
f.__name__ = newname
return f
return decorator | 3.640625 | 4 |
Mundo1/aula7c.py | OliveiraVasconcelos/Python-CursoemVideo | 0 | 12780769 | <gh_stars>0
### crie um algoritmo que leia um numero e mostre seu dobro, triplo e raizq
num = int(input('Digite um valor: '))
dobro = num * 2
triplo = num * 3
raizq = num ** (1/2)
print('{} foi recebido, o dobro de num é {}, o triplo é {} e a raiz quadrada é {}'.format(num, dobro, triplo, raizq))
| 3.90625 | 4 |
katachi/tools/assign_landmarks.py | WhoIsJack/data-driven-analysis-lateralline | 3 | 12780770 | <gh_stars>1-10
# -*- coding: utf-8 -*-
"""
Created on Wed Nov 22 11:04:07 2017
@author: <NAME> @ Gilmour group @ EMBL Heidelberg
@descript: Generates a sparse 3D point cloud representation for each cell in
a segmented stack based on the intensity distribution of a second
stack within the c... | 2.234375 | 2 |
livereload/cli.py | andreycizov/python-livereload | 0 | 12780771 | <filename>livereload/cli.py
import argparse
import tornado.log
from livereload.server import Server
parser = argparse.ArgumentParser(description='Start a `livereload` server')
parser.add_argument(
'--host',
help='Hostname to run `livereload` server on',
type=str,
default='127.0.0.1'
)
parser.add_arg... | 2.546875 | 3 |
panda/migrations/0001_initial.py | higs4281/panda | 72 | 12780772 | # encoding: utf-8
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'Category'
db.create_table('panda_category', (
('id', self.gf('django.db.models... | 2.203125 | 2 |
Hybrid-P2P_ChatPy/server_users.py | davidcawork/uah-lrss_ | 0 | 12780773 | <reponame>davidcawork/uah-lrss_<filename>Hybrid-P2P_ChatPy/server_users.py
#usr/bin/env python3
import socket
import sys
import pickle
import select
import os
#PROTOCOL MSGs
P2P_CHAT_PY_PROTOCOL_HI = 'ChatPy_Hi'
P2P_CHAT_PY_PROTOCOL_HI_ACK = 'ChatPy_Hi_Ack'
P2P_CHAT_PY_PROTOCOL_BYE = 'ChatPy_Bye'
P2P_CHAT_PY_PROTOCOL... | 2.421875 | 2 |
klotski/image_recognition.py | Strivingperson/store | 0 | 12780774 | import requests
import json
import base64
import numpy as np
import matplotlib.pyplot as plt
import pickle
import imageio
def get_jsonstr(url):
url = "http://172.16.58.3:8089/api/problem?stuid=031804104"
response = requests.get(url)
jsonstr = json.loads(response.text)
return jsonstr
def ... | 2.953125 | 3 |
Python/zzz_training_challenge/Python_Challenge/solutions/tests/ch03_recursion/ex09_pascal_test.py | Kreijeck/learning | 0 | 12780775 | <gh_stars>0
# Beispielprogramm für das Buch "Python Challenge"
#
# Copyright 2020 by <NAME>
import pytest
from ch03_recursion.solutions.ex09_pascal_triangle import calc_pascal_with_action
@pytest.mark.parametrize("n, expected",
[(1, [1]),
(2, [1, 1]),
... | 3.0625 | 3 |
setup.py | IPASC/IPASC_DataConversionTool | 3 | 12780776 | import setuptools
with open('README.md', 'r') as readme_file:
long_description = readme_file.read()
with open('requirements.txt', 'r') as requirements_file:
requirements = requirements_file.read().splitlines()
setuptools.setup(
name="ipasc_tool",
version="0.1.3",
author="International Photoacoust... | 1.5625 | 2 |
pyxing/res.py | sharebook-kr/pyxing | 12 | 12780777 | <reponame>sharebook-kr/pyxing
# RES file parser
'''
{'trcode': "CSPAT00600",
'inblock': [
{'CSPAT00600InBlock1': [ ]}
],
'outblock': [
{'CSPAT00600OutBlock1': [ ]}
{'CSPAT00600OutBlock2': [ ]}
}
'''
# res 파일 정보 라인 파싱 함수
def parse_info(data):
tokens = data.split(',')
return tokens[2].strip()... | 2.609375 | 3 |
Scripts/simulation/retail/retail_elements.py | velocist/TS4CheatsInfo | 0 | 12780778 | <reponame>velocist/TS4CheatsInfo
# 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: T:\InGame\Gameplay\Scripts\Server\retail\retail_elements.py
# Compiled at: 2016-03-08 02:17:38
# Size... | 1.945313 | 2 |
views/login.py | vug/personalwebapp | 0 | 12780779 | <reponame>vug/personalwebapp
"""
This Blueprint gives the ability of user logins, and login_required functionality using Flask-Login extension.
"""
from flask import Blueprint, render_template, request, flash, redirect, url_for
from flask_login import login_required, logout_user, login_user
from extensions import logi... | 2.703125 | 3 |
aggcat/tests/test_parser.py | djedi/python-aggcat | 1 | 12780780 | <reponame>djedi/python-aggcat<gh_stars>1-10
from __future__ import absolute_import
from ..parser import Objectify
class TestParser(object):
"""Test XML Objectification"""
@classmethod
def setup_class(self):
self.o = None
with open('aggcat/tests/data/sample_xml.xml', 'r') as f:
... | 2.78125 | 3 |
quex/engine/analyzer/door_id_address_label.py | smmckay/quex-mirror | 0 | 12780781 | import quex.engine.state_machine.index as sm_index
from quex.engine.misc.tools import print_callstack, \
TypedSet
from quex.blackboard import Lng
from quex.constants import E_IncidenceIDs, \
E_StateIndices, \
... | 1.65625 | 2 |
software/utils/drc_utils/python/atlas_pressure_monitor.py | liangfok/oh-distro | 92 | 12780782 | import lcm
import drc as lcmdrc
import atlas as lcmatlas
import numpy as np
import time
class AtlasPressureCommander(object):
def __init__(self,
desired_rpm=5000,
max_psi=2500,
min_psi=1500):
self.desired_rpm = desired_rpm
self.max_psi = max_psi
... | 2.296875 | 2 |
git_sentry/handlers/git_team.py | git-sentry/git-sentry | 0 | 12780783 | from git_sentry.handlers.access_controlled_git_object import AccessControlledGitObject
from git_sentry.handlers.git_repo import GitRepo
from git_sentry.handlers.git_user import GitUser
class GitTeam(AccessControlledGitObject):
def __init__(self, git_object):
super().__init__(git_object)
def name(self... | 2.265625 | 2 |
framework/openCV/pyimagesearch_ppao/ch6_image_processing.py | friendlyantz/learning | 1 | 12780784 | import numpy as np
import argparse
import imutils
import cv2
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", required = True, help = "Path to the image")
ap.add_argument("-i2", "--image2", required = True, help = "Path to the image 2")
ap.add_argument("-i3", "--image3", required = True, help = "Path to... | 2.96875 | 3 |
users/factories.py | bllli/Django-China-API | 187 | 12780785 | # factories that automatically create user data
import factory
from users.models import User
class UserFactory(factory.DjangoModelFactory):
class Meta:
model = User
username = factory.Sequence(lambda n: 'user%s' % n)
email = factory.LazyAttribute(lambda o: <EMAIL>' % o.username)
password = '... | 2.59375 | 3 |
Array/Easy/busyStudent.py | pavi-ninjaac/leetcode | 0 | 12780786 | # -*- coding: utf-8 -*-
"""
Created on Wed Dec 30 22:57:38 2020
@author: ninjaac
"""
"""
Given two integer arrays startTime and endTime and given an integer queryTime.
The ith student started doing their homework at the time startTime[i] and finished it at time endTime[i].
Return the number of student... | 3.421875 | 3 |
TEP/lista7/D.py | GuilhermeBraz/unb-workflow | 0 | 12780787 | <filename>TEP/lista7/D.py<gh_stars>0
# You've got a rectangular parallelepiped with integer edge lengths. You know the areas of its three faces that have a common vertex.
# Your task is to find the sum of lengths of all 12 edges of this parallelepiped.
from math import sqrt
x, y, z = map(int, input().split())
perimete... | 3.671875 | 4 |
api/algo.py | unithmallavaram/TeamFormationAssistant_V2 | 3 | 12780788 | import sys
f = open("success.txt", "w")
| 1.40625 | 1 |
home/views.py | apoorvanand/tweet-search | 51 | 12780789 | import datetime
import random
import csv
import json
# TODO: Fix * imports
from django.shortcuts import *
from django.contrib.auth.decorators import login_required, user_passes_test
from django.contrib.auth import logout as auth_logout
from social.apps.django_app.default.models import UserSocialAuth
from gnip_search... | 2.359375 | 2 |
tests/test_data_models.py | datarevenue-berlin/omigami | 7 | 12780790 | <reponame>datarevenue-berlin/omigami<filename>tests/test_data_models.py
from py_muvr.data_structures import SelectedFeatures
def test_n_features(dataset):
assert dataset.n_features == 12
def test_input_data_slice(dataset):
assert dataset[:5, 3:7].X.shape == (5, 4)
assert dataset[[1, 2, 5], [3, 4, 7]].X.... | 2.15625 | 2 |
yapylib/helpers.py | twocucao/YaPyLib | 2 | 12780791 | <filename>yapylib/helpers.py<gh_stars>1-10
import os
def get_load_dotenv(default=True):
val = os.environ.get('YAPYLIB_SKIP_DOTENV')
if not val:
return default
return val.lower() in ('0', 'false', 'no')
| 2.375 | 2 |
exp/data_processing/get_cropped_image.py | dangxuanvuong98/pineapples_harvester | 0 | 12780792 | <reponame>dangxuanvuong98/pineapples_harvester<gh_stars>0
import cv2
import os
import xml.etree.ElementTree as ET
from tqdm import tqdm
data_directory_path = '/media/trivu/data/DataScience/ComputerVision/dua/new_data/train'
result_path = '/media/trivu/data/DataScience/ComputerVision/dua/new_data/cropped_pineapple'
lab... | 2.421875 | 2 |
logistic_regression.py | AbChatt/Final-Project-C11-Part-2-Python | 0 | 12780793 | <gh_stars>0
"""
CSCC11 - Introduction to Machine Learning, Winter 2020, Exam
<NAME>, <NAME>
===========================================================
COMPLETE THIS TEXT BOX:
Student Name: <NAME>
Student number: 1004820615
UtorID: chatt114
I hereby certify that the work contained here is my own
_<NAME>_
(s... | 3.96875 | 4 |
testing/distributions/gamma_test.py | jnkm/MXFusion | 0 | 12780794 | import pytest
import mxnet as mx
import numpy as np
from mxfusion.components.variables.runtime_variable import add_sample_dimension, is_sampled_array, get_num_samples
from mxfusion.components.distributions import Gamma, GammaMeanVariance
from mxfusion.util.testutils import numpy_array_reshape
from mxfusion.util.testuti... | 2.046875 | 2 |
server/danesfield_server/loader.py | Kitware/Danesfield-App | 25 | 12780795 | <reponame>Kitware/Danesfield-App
#!/usr/bin/env python
# -*- coding: utf-8 -*-
###############################################################################
# Copyright Kitware Inc. and Contributors
# Distributed under the Apache License, 2.0 (apache.org/licenses/LICENSE-2.0)
# See accompanying Copyright.txt and LIC... | 1.78125 | 2 |
file_builder/test/hash_dirs_test.py | btrekkie/file-builder | 1 | 12780796 | import hashlib
import os
from .. import FileBuilder
from .file_builder_test import FileBuilderTest
class HashDirsTest(FileBuilderTest):
"""Tests a hash directory build operation.
The build operation computes SHA-256 hashes for all of the files and
directories in a given root directory. A directory's has... | 3.109375 | 3 |
2019/02_ProgramAlarm/aoc_pa.py | deanearlwright/AdventOfCode | 1 | 12780797 | # ======================================================================
# Program Alarm
# Advent of Code 2019 Day 02 -- <NAME> -- https://adventofcode.com
#
# Computer simulation by Dr. <NAME> III
# ======================================================================
# ====================================... | 2.5 | 2 |
timm/version.py | chilung/pytorch-image-models | 0 | 12780798 | <reponame>chilung/pytorch-image-models
__version__ = '0.4.13.22'
| 0.941406 | 1 |
lib/solutions/checkout.py | DPNT-Sourcecode/CHK-hqvw01 | 0 | 12780799 |
# Basic price table, without offers
PRICES = {"A": 50,
"B": 30,
"C": 20,
"D": 15,
"E": 40,
"F": 10,
"G": 20,
"H": 10,
"I": 35,
"J": 60,
"K": 70,
"L": 90,
"M": 15,
"N": 40,
"O": 1... | 3.90625 | 4 |
make.py | kagu/kunquat | 13 | 12780800 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Author: <NAME>, Finland 2014-2018
#
# This file is part of Kunquat.
#
# CC0 1.0 Universal, http://creativecommons.org/publicdomain/zero/1.0/
#
# To the extent possible under law, Kunquat Affirmers have waived all
# copyright and related or neighboring rights to Kunqua... | 2.109375 | 2 |
scraper/urls.py | pekasen/DBoeS-Automatization | 0 | 12780801 | """
List of German Wikipedia pages to extract parliamentarian information from.
Index points to table indices (running id) where to find information on the page.
"""
BASE = "https://de.wikipedia.org/wiki/"
parliaments = {
"sachsen": {
"name": "Sachsen",
"url": BASE + "Liste_der_Mitglieder_des_S%C3%A... | 2.921875 | 3 |
examples/z_segmenting_accurately.py | thejasvibr/itsfm | 1 | 12780802 | """
Segmenting real-world sounds correctly with synthetic sounds
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
It's easy to figure out if a sound is being correcly segmented if the
signal at hand is well defined, and repeatable, like in many technological/
engineering applications. However, in bioacoust... | 2.609375 | 3 |
code/cloudmanager/install/hws/hws_util.py | Hybrid-Cloud/cloud_manager | 0 | 12780803 | <filename>code/cloudmanager/install/hws/hws_util.py
import os
from heat.engine.resources.hwcloud.hws_service.hws_client import HWSClient
from heat.engine.resources.cloudmanager.util.retry_decorator import RetryDecorator
from heat.openstack.common import log as logging
from heat.engine.resources.cloudmanager.util.cloud... | 1.890625 | 2 |
tests/conftest.py | eleme/meepo | 50 | 12780804 | # -*- coding: utf-8 -*-
from __future__ import absolute_import
import logging
logging.basicConfig(level=logging.DEBUG)
import json
import os
import uuid
import pymysql
import pytest
import redis
from meepo._compat import urlparse
@pytest.fixture(scope="session")
def conf():
"""Try load local conf.json
""... | 1.9375 | 2 |
examples/e12.py | pepprseed/svgdatashapes | 11 | 12780805 | <reponame>pepprseed/svgdatashapes<gh_stars>10-100
import svgdatashapes as s
import svgdatashapes_dt as sdt # for date/time support
def example12(): # Secchi depth readings plot with reversed Y axis
depthdata = [
('09/21/2016', 6.60), ('09/19/2016', 6.20), ('09/08/2016', 4.85), ('09/01/2016', 6.00... | 2.359375 | 2 |
ques3.py | shreya643/test_feb_19 | 0 | 12780806 | <gh_stars>0
'''Q3. Create a Employee class and initialize it with first_name, last_name and salary. Also, it has a derived attribute called email, which is self generated when instance is created. Now, make methods to :
a. Display - It should display all information of the employee instance.'''
class Employee:
de... | 4.3125 | 4 |
rebase/api/predicter.py | rebaseenergy/rebase-sdk | 0 | 12780807 | import rebase as rb
import pickle
from datetime import datetime
import rebase.util.api_request as api_request
class Predicter():
@classmethod
def load_data(cls, pred, start_date, end_date):
site_config = rb.Site.get(pred.site_id)
return pred.load_data(site_config, start_date, end_date)
... | 2.421875 | 2 |
setup.py | MrBurtyyy/yoti-python-sdk | 0 | 12780808 | <gh_stars>0
# -*- coding: utf-8 -*-
from setuptools import setup, find_packages
from yoti_python_sdk import __version__
long_description = (
"This package contains the tools you need to quickly "
"integrate your Python back-end with Yoti, so that your "
"users can share their identity details with your "
... | 1.304688 | 1 |
gupb/controller/shallow_mind/utils.py | syforcee/GUPB | 0 | 12780809 | from typing import Tuple, List
from gupb.model.characters import Action
def points_dist(cord1, cord2):
return int(((cord1.x - cord2.x) ** 2 +
(cord1.y - cord2.y) ** 2) ** 0.5)
def get_first_possible_move(moves: List[Tuple[Action, int]]):
return next((next_move for next_move in moves if next_... | 2.640625 | 3 |
src/TrussModel.py | somu15/Small_Pf_code | 0 | 12780810 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Dec 17 15:24:18 2020
@author: dhulls
"""
from anastruct import SystemElements
import numpy as np
class TrussModel:
def HF(self, young1=None, young2=None, area1=None, area2=None, P1=None, P2=None, P3=None, P4=None, P5=None, P6=None):
... | 2.40625 | 2 |
research/realty_type_quantities.py | Ramilll/raifhack_ds | 0 | 12780811 | <reponame>Ramilll/raifhack_ds<gh_stars>0
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
data_dir = '../data/'
train = pd.read_csv(data_dir + 'train.csv')
rt = train.realty_type
counts = rt.groupby(rt).count().rename('count').reset_index()
fig, ax = plt.subplots(figsize=(10, 5))
sns.barpl... | 2.515625 | 3 |
file/models.py | CaptainMorch/TJU_Cats | 0 | 12780812 | from django.db import models
from django.urls import reverse
from datetime import date
# Create your models here.
class Photo(models.Model):
"""猫猫相片的数据库模型"""
image = models.ImageField(
'图像',
upload_to='image/'
)
title = models.CharField('标题', blank=True, max_length=8)
descript... | 2.59375 | 3 |
datasets/NIH.py | tnaren3/pytorch-adda | 0 | 12780813 | <filename>datasets/NIH.py
import os
import csv
from PIL import Image
import numpy as np
import torch
import torch.utils.data as data
from torchvision import datasets, transforms
import params
class NIH(data.Dataset):
def __init__(self, root, train=True, val=False, transform=None):
"""Init NIH dataset.... | 3 | 3 |
src/djai/util/cli/_server_files/asgi.py | Django-AI/DjAI | 3 | 12780814 | """
ASGI config for DjAI project.
It exposes the ASGI callable as a module-level variable named ``application``
For more information on this file, see
docs.djangoproject.com/en/dev/howto/deployment/asgi
"""
# ref: django-configurations.readthedocs.io
import os
# from django.core.asgi import get_asgi_application... | 1.546875 | 2 |
src/utils.py | carlps/bikeshare | 2 | 12780815 | <filename>src/utils.py
# Common utils used in different scripts
from os import environ
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
def get_session(env='DEV', echo=False):
''' Create db connection and sqlalchemy engine
Return a session to interact with db
Echo def... | 2.5625 | 3 |
shared/management/commands/settings.py | dArignac/shared | 0 | 12780816 | from django.conf import settings
from django.core.management.base import BaseCommand, CommandError
from pprint import pformat
class Command(BaseCommand):
args = '<setting>'
help = 'Outputs the value of the given setting name'
def handle(self, *args, **options):
if len(args) != 1:
rai... | 2.609375 | 3 |
model.py | pedrocarvalhoaguiar/ProjetoP2-Braga-Alessandra | 0 | 12780817 | from estruturadedados.avltree import AVL
from estruturadedados.queue import Queue
from biometria.biometria import Biometria as Bio
from bancodedados.paths import *
import json
from os import listdir, remove
class GerenciadorPrincipal():
def __init__(self):
self.gerVacina = GerenciadorVacina()
... | 2.484375 | 2 |
icevision/models/rcnn/mask_rcnn/fastai/__init__.py | lee00286/icevision | 0 | 12780818 | <filename>icevision/models/rcnn/mask_rcnn/fastai/__init__.py
from icevision.models.rcnn.mask_rcnn.fastai.callbacks import *
from icevision.models.rcnn.mask_rcnn.fastai.learner import *
| 1.148438 | 1 |
Unet/threshold_analysis.py | prediction2020/unet-vessel-segmentation | 23 | 12780819 | <reponame>prediction2020/unet-vessel-segmentation
# -*- coding: utf-8 -*-
"""
File name: threshold_analysis.py
Author: <NAME>
Date created: 06/12/2018
The goal of this script is to:
1) Display calibration plots of the pulled Unet and half-Unet output
2) Assuming the output is not calibrated, Find the optimal t... | 2.71875 | 3 |
simulations/simulation.py | Jackil1993/metainventory | 3 | 12780820 | <filename>simulations/simulation.py
import numpy as np
import matplotlib.pyplot as plt
# create a .txt file to write down all the discrete events for further tracing)
file = open("protocol.txt","w")
# a static class containing all the utilized random number generators
class Generator:
def normal(self, mu, sigm... | 3.53125 | 4 |
AML/HW3/utils/utils.py | ZRZ-Unknow/20fall-CourseNote | 0 | 12780821 | <filename>AML/HW3/utils/utils.py<gh_stars>0
import numpy as np
import os
from bidict import bidict
def load_data(shared_nums):
""" Return:
data: list, each of it is a numpy array of shape (k,321)
label: list, each of it is a numpy array of shape (k,)
"""
train_path, test_path = './Dataset/train/', ... | 2.25 | 2 |
utils/sampling.py | PranavPai/Dissertation | 0 | 12780822 | import numpy as np
import pandas as pd
from sklearn import datasets
from sklearn.model_selection import train_test_split
test_size = 0.25
def sampling(**kwargs):
if kwargs['dataset'] == 'moons':
X, y = datasets.make_moons(n_samples=kwargs['sample_size'],
noise=kwargs['n... | 2.953125 | 3 |
app/grandchallenge/algorithms/migrations/0020_auto_20200214_0912.py | njmhendrix/grand-challenge.org | 1 | 12780823 | # Generated by Django 3.0.2 on 2020-02-14 09:12
import django.contrib.postgres.fields.jsonb
import django.db.models.deletion
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("cases", "0019_auto_20200120_0604"),
("algorithms", "0019_auto_20200210_0... | 1.953125 | 2 |
Final Project/new_clrs/clrs/_src/algorithms/strings_graph_structures.py | mohammedElfatihSalah/string-experiments | 0 | 12780824 | import numpy as np
def get_predecessor(T,P):
# copy the inputs
T = np.copy(T)
P = np.copy(P)
P_size = P.shape[0]
T_size = T.shape[0]
adj = np.zeros((P_size + T_size,P_size + T_size))
# predecessor for Text
for i in range(1,T_size):
adj[i, i-1] = 1
# predecessor for Pattern
for i in range(... | 3.171875 | 3 |
model/BFS_Agent.py | cogtoolslab/tools_block_construction | 0 | 12780825 | import os
import sys
proj_dir = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
sys.path.insert(0,proj_dir)
import random
from itertools import repeat
import utils.blockworld as blockworld
from model.utils.Search_Tree import *
class BFS_Agent:
"""An agent performing exhaustive BFS search. This can t... | 2.96875 | 3 |
scalation_kernel/__init__.py | KevinBonanno/scalation_kernel | 0 | 12780826 | <reponame>KevinBonanno/scalation_kernel
"""A Scala+ScalaTionkernel for Jupyter"""
__version__ = '1.0'
from .kernel import ScalaTionKernel
| 1.015625 | 1 |
rf_optimizer.py | bGhorbani/linearized_neural_networks | 0 | 12780827 | <gh_stars>0
"""This file implements functionalities that allow fitting large random feature models with
conjugate gradient type algorithms. """
import tensorflow as tf
import numpy as np
import sys
sys.path.insert(0, './linear_algebra/')
from tensor_utils import AssignmentHelper
class RF_Optimizer(object):
def __in... | 2.171875 | 2 |
mrsketch/__init__.py | Simonl07/mrsketch | 0 | 12780828 | <reponame>Simonl07/mrsketch<filename>mrsketch/__init__.py
import threading
import types
from copy import copy, deepcopy
from functools import reduce
import json
import pickle
supported_graph_serialization = {
'json': json,
'pickle': pickle
}
class StateDescriptor(object):
def __init__(self, constructor,... | 2.5 | 2 |
main.py | biogui/royal-flush-telegram-bot | 0 | 12780829 | from telegram.ext import Updater, CommandHandler, ConversationHandler, MessageHandler, Filters, CallbackQueryHandler
from env import TOKEN
from commands import show_challs, choose_chall_to_show, SHOWS_CHOSEN_CHALL
from commands import try_answer, choose_chall_to_answer, check_answer, CHOOSE_CHALL_TO_ANSWER
def ... | 2.453125 | 2 |
main.py | KevHg/tictactoe-cli | 0 | 12780830 | import random
from copy import deepcopy
def print_board(board, max_width):
for row in range(len(board)):
for col in range(len(board)):
print("{:>{}}".format(board[row][col], max_width), end='')
print()
def win_check(board, player, n, row, col):
horizontal, vertical, diagonal_down... | 4.03125 | 4 |
faker_GB.py | bogordon86/Python_Faker | 0 | 12780831 | <gh_stars>0
#Import Dependencies
from faker import Faker
import pandas as pd
#For generating fake ID
import random
#Great Britain fake data (why not?)
fake = Faker('en_GB')
# dictionary
dict_data = {
"name":[],
"address":[],
"dob":[],
"gender":[],
"phone_number":[],
"imei":[]
}
#Loop... | 3.203125 | 3 |
2task1.py | inwk6312fall2018/programmingtask2-Adityapuni | 0 | 12780832 | file=open('Crime.csv')
lineA=[]
lineB=[]
dict={} #take crime id as key and crime name as value
def histogram(s):
"""to check s in string"""
d={}
for c in s:
d[c]=1+d.get(c,0)
return d
"""make list of all words"""
for line in file:
line.strip()
for i in line.split(','):
lineA.append(i)
"""all crime ID"""
i... | 3.25 | 3 |
pages/quitPage.py | amalthomas-exe/Windown-Installer-GUI | 0 | 12780833 | <filename>pages/quitPage.py
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'quitPage.ui'
#
# Created by: PyQt5 UI code generator 5.15.4
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
f... | 2.15625 | 2 |
quotes/routes.py | vsgobbi/Quotes-Pyramid-REST-API | 0 | 12780834 | def includeme(config):
config.add_route('index', '/')
config.add_route('home', '/home')
config.add_route('quotes', '/quotes')
config.add_route('random_quote', '/quotes/random')
config.add_route('get_quote', '/quotes/{id}')
config.add_route('delete_quote', '/delete/{id}')
config.add_route('ge... | 1.703125 | 2 |
examples/root_std_map.py | jjacob/DailyPythonScripts | 0 | 12780835 | import rootpy.stl as stl
import ROOT
# Create a vector type
StrVector = stl.vector(stl.string)
# Instantiate
strvector = StrVector()
strvector.push_back("Hello")
# etc.
MapStrRoot = stl.map(stl.string, ROOT.TH1D)
MapStrRootPtr = stl.map(stl.string, "TH1D*")
StrHist = stl.pair(stl.string, "TH1*")
m = MapStrRootPtr()
a... | 3.203125 | 3 |
selseq/selseq_clustering.py | GrigoriiPechkovskii/selseq | 0 | 12780836 | print('start identity_percent')
import os
import pandas as pd
import numpy as np
from sklearn.cluster import KMeans
import subprocess
from selseq_main import *#all?
from selseq_constant import *
def clustering_kmeans_aln(aln_file,itself=True):
'''input file the aligned sequence
output clustering by kmeans f... | 2.703125 | 3 |
zeee_bot/cogs/test.py | zeee2/ZEEE-Discord-Bot | 1 | 12780837 | from os import name
import pathlib
from discord.ext import commands
import discord
from dislash import InteractionClient, ActionRow, Button, ButtonStyle, SelectMenu, SelectOption
from colored import fore, back, style
from PIL import Image, ImageFont, ImageDraw, ImageEnhance
from zeee_bot.common import glob
class Test... | 2.5 | 2 |
setup.py | gabrielfern/automated-leda-tasks | 9 | 12780838 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# <NAME> <<EMAIL>>
# <NAME> <<EMAIL>>
try:
from setuptools import setup
except ImportError:
from os import system
system('pip install --user setuptools')
from setuptools import setup
setup(
name='automated',
version='1.3.2',
description='Automat... | 1.5625 | 2 |
example.py | JustEdro/appstoreconnectapi | 0 | 12780839 | <reponame>JustEdro/appstoreconnectapi
#!/usr/bin/env python
import sys
from appstoreconnect import Api
if __name__ == "__main__":
key_id = sys.argv[1]
key_file = sys.argv[2]
issuer_id = sys.argv[3]
api = Api(key_id, key_file, issuer_id)
apps = api.apps()
for app in apps["data"]:
print(app["attributes"]["nam... | 2.15625 | 2 |
computeFeatures/seqStep/seqToolManagers/conservationTools/Al2coManager.py | rsanchezgarc/BIPSPI | 5 | 12780840 | from __future__ import absolute_import, print_function
import os
import numpy as np
from subprocess import Popen, PIPE
from Bio.PDB.Polypeptide import aa1 as AA_STANDARD
from ....featuresComputer import FeatureComputerException
from ...seqToolManager import SeqToolManager
from .al2coWorkers.parsePsiBlast import parseP... | 2.28125 | 2 |
data.py | nikhilroxtomar/Polyp-Segmentation-using-UNET-in-TensorFlow-2.0 | 45 | 12780841 |
import os
import numpy as np
import cv2
from glob import glob
import tensorflow as tf
from sklearn.model_selection import train_test_split
def load_data(path, split=0.1):
images = sorted(glob(os.path.join(path, "images/*")))
masks = sorted(glob(os.path.join(path, "masks/*")))
total_size = len(images)
... | 2.609375 | 3 |
reddit/posts/urls.py | Arnman16/reddirt | 0 | 12780842 | <gh_stars>0
from django.urls import include, path
from .views import PostView, SubredditView, AllSubredditsView, FrontPageView
app_name = 'reddit'
urlpatterns = [
path("frontpage/", FrontPageView.as_view()),
path("all/", AllSubredditsView.as_view(), name='all' ),
path(route='<slug:slug>/', view=SubredditV... | 2.046875 | 2 |
baseline/CLIP-zero-shot/detection/sliding_params.py | Wuziyi616/slot_attention | 0 | 12780843 | <filename>baseline/CLIP-zero-shot/detection/sliding_params.py
from typing import Tuple
import attr
@attr.s(auto_attribs=True)
class SlidingParams:
# model configs
resolution: Tuple[int, int] = (256, 256) # since we not using ViT
num_slots: int = 7 # at most 6 obj per image/video
# architecture of ... | 2.046875 | 2 |
day23/lib.py | heijp06/AoC-2021 | 0 | 12780844 | from queue import PriorityQueue
from burrow import Burrow, parse
def part1(rows: list[str]) -> int | None:
return go(rows)
def part2(rows: list[str]) -> int | None:
new_rows = list(rows[:3]) + [
" #D#C#B#A#",
" #D#B#A#C#",
] + list(rows[3:])
return go(new_rows)
def go(rows: list[... | 3.625 | 4 |
InterviewBit/Trees/postorder_traversal.py | codervikash/online-courses | 0 | 12780845 | """
Given a binary tree, return the postorder traversal of its nodes’ values.
Example :
Given binary tree
1
\
2
/
3
return [3,2,1].
Using recursion is not allowed.
"""
# Definition for a binary tree node
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left =... | 4.0625 | 4 |
hits_per_minute.py | nathan242/sysadmin-tools | 0 | 12780846 | <gh_stars>0
#!/usr/bin/python
import sys
import os
import time
count = {}
total = 0
highest = 0
average = 0
log = open(sys.argv[1], "r")
for line in log:
datestring = line.split()[3].replace("[", "")[:-3]
if datestring in count:
count[datestring] += 1
else:
count[datestring] = 1
for i ... | 3.515625 | 4 |
Easy/Codeland Username Validation.py | edaaydinea/Coderbyte | 6 | 12780847 | import re
def CodelandUsernameValidation(strParam):
# code goes here
valid = "false"
if strParam[0].isalpha():
if 4 < len(strParam) < 25:
if strParam[-1] != '_':
if re.match('^[a-zA-Z0-9_]+$', strParam):
valid = "true"
# code goes here
retu... | 3.34375 | 3 |
inject_version.py | Open-Security-Tools/security_model_tw_plugin | 1 | 12780848 | #!/usr/bin/env python
import os
import subprocess
TID_FILE = "src/tiddlers/system/plugins/security_tools/twsm.tid"
VERSION_FILE = "VERSION"
def get_commit_count():
return int(subprocess.check_output(["git", "rev-list", "--count", "HEAD"]).decode('utf-8'))
def main():
with open(VERSION_FILE, "r") as f:
... | 2.625 | 3 |
image_viewer.py | juu7g/Python-Image-Viewer | 0 | 12780849 | """
画像ビューワー
"""
import itertools, os, sys
import tkinter as tk
import tkinter.ttk as ttk
import tkinter.font as tkFont
from tkinter import filedialog
from tkinterdnd2 import *
from typing import Tuple # 関数アノテーション用
from PIL import Image, ImageTk # Pillow
from PIL.ExifTags import TAGS, GPSTAGS ... | 3.296875 | 3 |
envs_agents/cartpole/dqn_cartpole_minimal_example.py | dertilo/reinforcement-learning | 0 | 12780850 | <reponame>dertilo/reinforcement-learning<filename>envs_agents/cartpole/dqn_cartpole_minimal_example.py
import os
import time
from typing import Iterator, Dict, NamedTuple, Generator
import gym
import torch
import torch.nn as nn
import numpy as np
from gym.envs.classic_control import CartPoleEnv
from gym.wrappers import... | 2.28125 | 2 |