repo_name stringlengths 7 65 | path stringlengths 5 185 | copies stringlengths 1 4 | size stringlengths 4 6 | content stringlengths 977 990k | license stringclasses 14
values | hash stringlengths 32 32 | line_mean float64 7.18 99.4 | line_max int64 31 999 | alpha_frac float64 0.25 0.95 | ratio float64 1.5 7.84 | autogenerated bool 1
class | config_or_test bool 2
classes | has_no_keywords bool 2
classes | has_few_assignments bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
deepchem/deepchem | contrib/torch/torch_model.py | 8 | 8255 | # -*- coding: utf-8 -*-
"""
Created on Mon Mar 13 22:31:24 2017
@author: Zhenqin Wu
"""
import torch
import time
import numpy as np
from deepchem.trans import undo_transforms
from deepchem.utils.save import log
from deepchem.models import Model
class TorchMultitaskModel(Model):
def __init__(self,
... | mit | 40fd4d16f0a205513f26290eed5daaca | 34.12766 | 79 | 0.624591 | 3.830626 | false | false | false | false |
deepchem/deepchem | examples/toxcast/toxcast_rf.py | 4 | 1089 | """
Script that trains Sklearn multitask models on toxcast & tox21 dataset.
"""
from __future__ import print_function
from __future__ import division
from __future__ import unicode_literals
import numpy as np
from sklearn.ensemble import RandomForestClassifier
from deepchem.molnet import load_toxcast
import deepchem a... | mit | 7ada64db090c32f4fbeb827762b8e62e | 27.657895 | 71 | 0.773186 | 3.392523 | false | false | false | false |
deepchem/deepchem | contrib/atomicconv/models/atomicnet_ops.py | 5 | 8790 | """Tensorflow Ops for Atomicnet."""
from __future__ import print_function
from __future__ import division
from __future__ import unicode_literals
import numpy as np
import tensorflow as tf
__author__ = "Joseph Gomes"
__copyright__ = "Copyright 2016, Stanford University"
__license__ = "MIT"
### AtomicNet fully-connect... | mit | d97ca3448b51f1673e2cfadb9f299fd8 | 24.186246 | 79 | 0.628328 | 3.303269 | false | false | false | false |
deepchem/deepchem | deepchem/molnet/dnasim.py | 2 | 14029 | import numpy as np
def get_distribution(GC_fraction):
from simdna.util import DiscreteDistribution
return DiscreteDistribution({
'A': (1 - GC_fraction) / 2,
'C': GC_fraction / 2,
'G': GC_fraction / 2,
'T': (1 - GC_fraction) / 2
})
def simple_motif_embedding(motif_name, seq_length, num_... | mit | f101b39797c2450d9ebb7c9d2584e209 | 33.811414 | 86 | 0.670468 | 3.866869 | false | false | false | false |
deepchem/deepchem | contrib/torch/torch_multitask_regression.py | 8 | 3927 | # -*- coding: utf-8 -*-
"""
Created on Mon Mar 13 22:31:24 2017
@author: Zhenqin Wu
"""
import torch
import numpy as np
from torch_model import TorchMultitaskModel
class TorchMultitaskRegression(TorchMultitaskModel):
def __init__(self, n_tasks, n_features, **kwargs):
"""Constructs the computational graph.
... | mit | e6a9076b64d9e4d2b3d4bb1f35d92a1d | 33.147826 | 85 | 0.639419 | 3.302775 | false | false | false | false |
deepchem/deepchem | examples/delaney/delaney_graph_conv.py | 4 | 1172 | """
Script that trains graph-conv models on Tox21 dataset.
"""
from __future__ import print_function
from __future__ import division
from __future__ import unicode_literals
import numpy as np
from deepchem.models import GraphConvModel
np.random.seed(123)
import tensorflow as tf
tf.random.set_seed(123)
import deepch... | mit | 3b4a8084b9d2d03db9325c8092a0af7f | 24.478261 | 68 | 0.762799 | 3.255556 | false | false | false | false |
deepchem/deepchem | deepchem/hyper/grid_search.py | 1 | 9135 | """
Contains basic hyperparameter optimizations.
"""
import numpy as np
import os
import itertools
import tempfile
import collections
import logging
from functools import reduce
from operator import mul
from typing import Dict, List, Optional, Tuple
from deepchem.data import Dataset
from deepchem.trans import Transfor... | mit | 1981e2bdd1205ad3afbc9bba3cff9e6d | 38.206009 | 87 | 0.674658 | 4.01715 | false | false | false | false |
deepchem/deepchem | deepchem/models/torch_models/torch_model.py | 1 | 47201 | import numpy as np
import torch
try:
import torch.utils.tensorboard
_has_tensorboard = True
except:
_has_tensorboard = False
import time
import logging
import os
from deepchem.data import Dataset, NumpyDataset
from deepchem.metrics import Metric
from deepchem.models.losses import Loss
from deepchem.models.models... | mit | 4b3b17ed4cbe2ab505cabc1034965207 | 38.236076 | 119 | 0.645113 | 4.182632 | false | false | false | false |
gae-init/gae-init-upload | main/cache.py | 25 | 1092 | # coding: utf-8
from google.appengine.api import memcache
import flask
import config
###############################################################################
# Helpers
###############################################################################
def bump_counter(key, time=3600, limit=4):
client = memcach... | mit | 135cdef4624041bf42673195eba19820 | 25.634146 | 79 | 0.484432 | 4.403226 | false | false | false | false |
gae-init/gae-init-upload | main/api/helpers.py | 7 | 1766 | # coding: utf-8
from datetime import datetime
import logging
from werkzeug import exceptions
import flask
import flask_restful
import util
class Api(flask_restful.Api):
def unauthorized(self, response):
flask.abort(401)
def handle_error(self, e):
return handle_error(e)
def handle_error(e):
logging... | mit | 0769b260a1a8afe19711d6137eb4e448 | 24.970588 | 72 | 0.642695 | 3.532 | false | false | false | false |
gamechanger/dusty | tests/unit/commands/manage_config_test.py | 1 | 2734 | import os
import tempfile
import shutil
import json
import dusty.constants
from dusty.commands.manage_config import list_config_values, save_value, _eligible_config_keys_for_setting
from dusty.compiler.spec_assembler import get_specs_repo
from ...testcases import DustyTestCase
from dusty import constants
class TestMa... | mit | e338c0b561907e846ae1302d540a8d24 | 52.607843 | 174 | 0.618873 | 3.883523 | false | true | false | false |
gamechanger/dusty | tests/unit/systems/docker/testing_images_test.py | 1 | 5529 | from mock import Mock, patch, call
import docker
from nose.tools import nottest
from ....fixtures import premade_app
from ....testcases import DustyTestCase
from dusty.systems.docker.testing_image import (_ensure_base_image, _create_tagged_image, _get_split_volumes, _get_create_container_volumes,
... | mit | b0a140695f042f8572644f9a7aea7b0e | 59.758242 | 140 | 0.631217 | 3.560206 | false | true | false | false |
skyfielders/python-skyfield | skyfield/tests/test_frames.py | 1 | 3697 | from numpy import cos
from skyfield import framelib
from skyfield.api import Topos, load, wgs84
from skyfield.constants import AU_M, ERAD
from skyfield.positionlib import Geocentric
def test_radec_and_altaz_angles_and_rates():
# HORIZONS test data in Skyfield repository: authorities/radec-altaz-rates
ts = load... | mit | 50ed77c851a786bed553557b48e1f8de | 37.915789 | 79 | 0.647011 | 2.730428 | false | true | false | false |
skyfielders/python-skyfield | design/satellite_is_sunlit.py | 1 | 2590 | """Verdict: light-time delay from the Sun can be neglected in is_sunlit()!
For the Sun's position from Earth, does calling observe() really make
enough difference to justify the expense? Here we take two approaches
to answering the question: we compare the difference every day over 40
years, and then we do a back-of-... | mit | ef15312ed05f0d64f12798ee685463f7 | 39.46875 | 78 | 0.739382 | 3.189655 | false | false | false | false |
skyfielders/python-skyfield | skyfield/vectorlib.py | 1 | 9234 | """Vector functions and their composition."""
from jplephem.names import target_names as _jpl_code_name_dict
from numpy import max
from .constants import C_AUDAY
from .descriptorlib import reify
from .errors import DeprecationError
from .functions import length_of
from .positionlib import build_position
from .timelib ... | mit | d3712e47a3bdb659c26d67362a5e14a3 | 33.073801 | 79 | 0.623457 | 3.812552 | false | false | false | false |
skyfielders/python-skyfield | skyfield/tests/test_magnitudes.py | 1 | 1157 | from skyfield.api import load
from skyfield.magnitudelib import planetary_magnitude
def test_magnitudes():
ts = load.timescale()
#t = ts.utc(1995, 5, 22) # Rings edge-on from Earth.
t = ts.utc(2021, 10, 4)
eph = load('de421.bsp')
earth = eph['earth']
names = [
'mercury', 'venus', 'mars... | mit | 3d43d65f311393df8affe753294a80d4 | 34.060606 | 74 | 0.54624 | 2.735225 | false | false | false | false |
skyfielders/python-skyfield | examples/venus_evening_chart.py | 1 | 3584 | import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import LinearSegmentedColormap
from skyfield import almanac
from skyfield.api import load, wgs84
from skyfield.magnitudelib import planetary_magnitude
MONTH_NAMES = '0 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec'.split()
# Figure out the ti... | mit | c026f3ac670c7b17691cc45087e467fa | 29.555556 | 78 | 0.642797 | 2.850877 | false | false | false | false |
skyfielders/python-skyfield | skyfield/constellationlib.py | 1 | 3334 | # -*- coding: utf-8 -*-
"""Constellation identification.
Constellation identification is tradionally performed with:
http://cdsarc.u-strasbg.fr/viz-bin/Cat?VI/42
https://iopscience.iop.org/article/10.1086/132034/pdf
Given a position, a binary search can be used to index into its roughly
12k data table for a matching... | mit | 11eaf03a30f7441bcf6b52d4c05495e1 | 36.863636 | 77 | 0.718487 | 3.511064 | false | false | false | false |
skyfielders/python-skyfield | skyfield/tests/test_satellite_events.py | 1 | 5246 | from __future__ import print_function, division
from skyfield import api
def test_sat_almanac_LEO():
# Testcase from
# https://github.com/skyfielders/astronomy-notebooks/blob/master/Solvers/Earth-Satellite-Passes.ipynb
# with elevated horizon
tle = ["TIANGONG 1",
"1 37820U 11053A 14314.79... | mit | c7c356a77501d88efe8680d593fd82d1 | 43.837607 | 105 | 0.595501 | 3.053551 | false | false | false | false |
mining/mining | mining/bin/scheduler.py | 6 | 4168 | # -*- coding: utf-8 -*-
from os import sys, path
import schedule
from time import sleep
from bottle.ext.mongo import MongoPlugin
sys.path.append(path.dirname(path.dirname(path.abspath(__file__))))
from mining.utils import conf, log_it
from mining.tasks import process
log_it("START", "bin-scheduler")
onrun = {}
regi... | mit | 38db7437bbe16c87e106219ab6e0cfe0 | 33.163934 | 78 | 0.543426 | 4.03876 | false | false | false | false |
sissaschool/elementpath | elementpath/datatypes/qname.py | 1 | 2951 | #
# Copyright (c), 2018-2020, SISSA (International School for Advanced Studies).
# All rights reserved.
# This file is distributed under the terms of the MIT License.
# See the file 'LICENSE' in the root directory of the present
# distribution, or http://opensource.org/licenses/MIT.
#
# @author Davide Brunato <brunato@... | mit | 80b6a4416d9a4516c02c84ef02ec896b | 32.534091 | 87 | 0.623856 | 3.754453 | false | false | false | false |
sissaschool/elementpath | elementpath/datatypes/proxies.py | 1 | 7025 | #
# Copyright (c), 2018-2020, SISSA (International School for Advanced Studies).
# All rights reserved.
# This file is distributed under the terms of the MIT License.
# See the file 'LICENSE' in the root directory of the present
# distribution, or http://opensource.org/licenses/MIT.
#
# @author Davide Brunato <brunato@... | mit | 3152afc1ff9328c65bb465d7fcee9312 | 35.21134 | 97 | 0.630178 | 4.007416 | false | false | false | false |
sissaschool/elementpath | elementpath/datatypes/binary.py | 1 | 5121 | #
# Copyright (c), 2018-2020, SISSA (International School for Advanced Studies).
# All rights reserved.
# This file is distributed under the terms of the MIT License.
# See the file 'LICENSE' in the root directory of the present
# distribution, or http://opensource.org/licenses/MIT.
#
# @author Davide Brunato <brunato@... | mit | f17556165fa714567a6dadc12cdd0683 | 31.00625 | 90 | 0.585433 | 3.830217 | false | false | false | false |
sissaschool/elementpath | profiling/profile_xpath_tokens.py | 1 | 1440 | #!/usr/bin/env python
#
# Copyright (c), 2021, SISSA (International School for Advanced Studies).
# All rights reserved.
# This file is distributed under the terms of the MIT License.
# See the file 'LICENSE' in the root directory of the present
# distribution, or http://opensource.org/licenses/MIT.
#
# @author Davide ... | mit | 18d236c52af26a12d77481df613290ed | 29.638298 | 75 | 0.63125 | 3.235955 | false | false | false | false |
agconti/cookiecutter-django-rest | {{cookiecutter.github_repository_name}}/{{cookiecutter.app_name}}/config/common.py | 1 | 6588 | import os
from os.path import join
from distutils.util import strtobool
import dj_database_url
from configurations import Configuration
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
class Common(Configuration):
INSTALLED_APPS = (
'django.contrib.admin',
'django.contrib.au... | mit | 64bfb523b860be4451d9f64c977b88e2 | 31.776119 | 113 | 0.551913 | 4.172261 | false | false | false | false |
sissaschool/elementpath | elementpath/xpath2/_xpath2_constructors.py | 1 | 18848 | #
# Copyright (c), 2018-2021, SISSA (International School for Advanced Studies).
# All rights reserved.
# This file is distributed under the terms of the MIT License.
# See the file 'LICENSE' in the root directory of the present
# distribution, or http://opensource.org/licenses/MIT.
#
# @author Davide Brunato <brunato@... | mit | fdc44c5f969454f9f9d2f66c2e7abcda | 30.784148 | 95 | 0.657152 | 3.796173 | false | false | false | false |
robbievanleeuwen/section-properties | examples/00-basic/01_simple.py | 1 | 1784 | r"""
.. _ref_ex_simple:
Simple Example
--------------
Calculate section properties of a circle.
The following example calculates the geometric, warping and plastic properties
of a 50 mm diameter circle. The circle is discretised with 64 points and a mesh
size of 2.5 mm\ :sup:`2`.
The geometry and mesh are plotted, ... | mit | 1fe31884e8037e4b7e9189b8833cd6a0 | 31.436364 | 83 | 0.758408 | 3.560878 | false | false | false | false |
liampauling/betfair | betfairlightweight/metadata.py | 1 | 3083 | """
Useful metadata/limits from:
https://developer.betfair.com/exchange-api/
"""
transaction_limit = 5000 # transactions per hour (£0.002 cost per transaction after)
order_limits = {
"placeOrders": 200,
"cancelOrders": 60,
"updateOrders": 60,
"replaceOrders": 60,
}
list_current_orders = {"marke... | mit | 00618eca5a5b81c9e27e9ff70df81584 | 37.049383 | 136 | 0.631408 | 2.717813 | false | false | false | false |
liampauling/betfair | betfairlightweight/resources/bettingresources.py | 2 | 34189 | from .baseresource import BaseResource
class EventType:
"""
:type id: unicode
:type name: unicode
"""
def __init__(self, id: str, name: str):
self.id = id
self.name = name
class EventTypeResult(BaseResource):
"""
:type event_type: EventType
:type market_count: int
... | mit | da4a77b7a92465d007b1d3f631db4477 | 28.964067 | 88 | 0.620112 | 3.852716 | false | false | false | false |
liampauling/betfair | betfairlightweight/streaming/stream.py | 1 | 9789 | import datetime
import logging
import time
from typing import Optional
from .cache import CricketMatchCache, MarketBookCache, OrderBookCache, RaceCache
logger = logging.getLogger(__name__)
MAX_CACHE_AGE = 60 * 60 * 8 # 8hrs
class BaseStream:
"""Separate stream class to hold market/order caches"""
_lookup... | mit | 2c43983db52922922543c06b642d2507 | 33.347368 | 88 | 0.537134 | 3.898447 | false | false | false | false |
liampauling/betfair | tests/test_streamingendpoint.py | 2 | 1817 | import unittest
from unittest import mock
from betfairlightweight import APIClient
from betfairlightweight.endpoints import Streaming
class StreamingTest(unittest.TestCase):
def setUp(self):
self.client = APIClient("username", "password", "app_key", "UK")
self.streaming = Streaming(self.client)
... | mit | 0f749a7767a30dd3a0eb66c96ee9db85 | 37.659574 | 87 | 0.67639 | 3.833333 | false | true | false | false |
miyuchina/mistletoe | test/test_traverse.py | 1 | 3858 | from textwrap import dedent
import unittest
from mistletoe import Document
from mistletoe.span_token import Strong
from mistletoe.utils import traverse
class TestTraverse(unittest.TestCase):
def test(self):
doc = Document("a **b** c **d**")
filtered = [t.node.__class__.__name__ for t in traverse(... | mit | bc8b5ec2b530f70fa3c51b225d27b68e | 29.864 | 83 | 0.456973 | 4.291435 | false | true | false | false |
miyuchina/mistletoe | contrib/scheme.py | 1 | 5152 | import re
from collections import ChainMap
from mistletoe import BaseRenderer, span_token, block_token
from mistletoe.core_tokens import MatchObj
class Program(block_token.BlockToken):
def __init__(self, lines):
self.children = span_token.tokenize_inner(''.join([line.strip() for line in lines]))
class E... | mit | 12733dd154fcc858614de9c376709c32 | 31.607595 | 107 | 0.537849 | 3.640989 | false | false | false | false |
authomatic/authomatic | authomatic/extras/gae/openid.py | 2 | 5233 | # -*- coding: utf-8 -*-
# We need absolute import to import from openid library which has the same
# name as this module
from __future__ import absolute_import
import logging
import datetime
import openid.store.interface
logger = logging.getLogger(__name__)
try:
from google.appengine.ext import ndb
except Import... | mit | f5b532cb8942900c70d5328fea8bb463 | 31.302469 | 96 | 0.598318 | 4.538595 | false | false | false | false |
authomatic/authomatic | authomatic/six.py | 2 | 29751 | # -*- coding: utf-8 -*-
"""Utilities for writing code that runs on Python 2 and 3"""
# Copyright (c) 2010-2015 Benjamin Peterson
#
# 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 res... | mit | 221d5c894d069180e75cd08fccd85eb9 | 33.878077 | 98 | 0.6305 | 4.018233 | false | false | false | false |
choderalab/pymbar | pymbar/mbar.py | 2 | 84532 | ##############################################################################
# pymbar: A Python Library for MBAR
#
# Copyright 2017-2022 University of Colorado Boulder
# Copyright 2010-2017 Memorial Sloan-Kettering Cancer Center
# Portions of this software are Copyright (c) 2010-2016 University of Virginia
# Portions... | mit | bea4dafc051d0d21d75dd5655bf02021 | 41.822695 | 201 | 0.54461 | 3.7387 | false | false | false | false |
gwu-libraries/launchpad | lp/ui/management/commands/make_sitemap.py | 1 | 2292 | import gzip
import os
from django.conf import settings
from django.core.management.base import BaseCommand
from django.db import connections
def _newfile(counter):
"""Generate a new sitemap filename based on count."""
name = '%s/sitemap-%s.xml.gz' % (settings.SITEMAPS_DIR,
counter)
fp = gzip.open... | mit | 812b189ca9ac911d783bf3f2f52a2393 | 33.208955 | 73 | 0.538394 | 3.493902 | false | false | false | false |
gwu-libraries/launchpad | lp/ui/summon.py | 1 | 9590 | import re
import logging
import summoner
from urllib import urlencode
from datetime import datetime
from django.core.urlresolvers import reverse
class Summon():
"""
A wrapper for summoner.Summon which massages the Summon response format
into schema.org flavored JSON-LD. Maybe this could be pushed into
... | mit | b7f3701e1333bd02439987fb4666e61b | 35.743295 | 107 | 0.522836 | 4.122958 | false | false | false | false |
maxpumperla/elephas | elephas/parameter/server.py | 1 | 7559 | import abc
import pickle
import socket
from threading import Thread
from flask import Flask, request
from multiprocessing import Process
from tensorflow.keras.models import Model
from elephas.utils.sockets import determine_master
from elephas.utils.sockets import receive, send
from elephas.utils.serialization import d... | mit | 0c530ff8dd717a70ff2c80e77ed5c1f5 | 31.581897 | 80 | 0.59836 | 4.270621 | false | false | false | false |
maxpumperla/elephas | elephas/parameter/client.py | 1 | 3164 | import abc
import numpy as np
import socket
import pickle
import urllib.request as urllib2
from ..utils.sockets import determine_master, send, receive
class BaseParameterClient(abc.ABC):
"""BaseParameterClient
Parameter-server clients can do two things: retrieve the current parameters
from the corresp... | mit | 772dd83e377e5fa929204df6bdb0800e | 33.769231 | 97 | 0.636852 | 4.304762 | false | false | false | false |
openpathsampling/openpathsampling | openpathsampling/engines/openmm/features/instantaneous_temperature.py | 3 | 1516 | from openpathsampling.integration_tools import openmm as mm
from openpathsampling.integration_tools import unit as u
@property
def n_degrees_of_freedom(snapshot):
"""
Returns
-------
n_degrees_of_freedom: int
number of degrees of freedom in this system (after accounting for
constraints)... | mit | d04a6104a627e098e56c1aa56cd1eb10 | 32.688889 | 74 | 0.691953 | 3.771144 | false | false | false | false |
openpathsampling/openpathsampling | openpathsampling/netcdfplus/chaindict.py | 4 | 13154 | import collections
import numpy as np
from .proxy import LoaderProxy
__author__ = 'Jan-Hendrik Prinz'
class ChainDict(object):
"""
A dict-like structure with a logic to fill missing values from other dicts
The default ChainDict requires a list of keys. If you want to allow also
single values you ne... | mit | e455acf589ea264ad50a20aab890bf2a | 26.692632 | 80 | 0.548502 | 4.47872 | false | false | false | false |
jpadilla/pyjwt | tests/keys/__init__.py | 2 | 1488 | import json
import os
from jwt.algorithms import has_crypto
from jwt.utils import base64url_decode
try:
from cryptography.hazmat.primitives.asymmetric import ec
except ModuleNotFoundError:
pass
if has_crypto:
from jwt.algorithms import RSAAlgorithm
BASE_PATH = os.path.dirname(os.path.abspath(__file__))
... | mit | e6441ac4c121f1c2ae8517454f9fe6e7 | 24.655172 | 74 | 0.671371 | 2.993964 | false | false | false | false |
openpathsampling/openpathsampling | openpathsampling/treelogic.py | 3 | 14599 | __author__ = 'Jan-Hendrik Prinz'
class TreeMixin(object):
"""
A mixin that provides basic tree handling.
A tree is basically a node with children of the same type. The mixin
requires to implement `.subnodes` to contain a list of children.
The `__contains__` operator requires `_default_match` to b... | mit | 5f077d4da5fe7eed2facb4164396e99b | 29.799578 | 113 | 0.521543 | 4.676169 | false | false | false | false |
openpathsampling/openpathsampling | openpathsampling/__init__.py | 3 | 6795 | # start by importing version, because for some weird reason, I sometimes get
# networkx as over-riding the version here (no idea why...)
try:
# should work if installed through normal means: setup.py-based with
# pip, conda, easy_install, etc.
from . import version
except ImportError: # pragma: no cover
... | mit | e8237c7d9d7bc5ae2e0741d8dad318fc | 33.846154 | 76 | 0.781457 | 3.762458 | false | false | false | false |
openpathsampling/openpathsampling | openpathsampling/engines/external_snapshots/snapshot.py | 3 | 4849 | import time
from openpathsampling.engines import features
from openpathsampling.engines.snapshot import BaseSnapshot
from . import features as ext_features
import logging
logger = logging.getLogger(__name__)
@features.base.attach_features([
features.engine,
features.coordinates,
features.velocities,
... | mit | dfb85deabd1530bdb56b6a6edd06b040 | 32.212329 | 76 | 0.611879 | 4.372408 | false | false | false | false |
theolind/pymysensors | tests/test_sensor.py | 1 | 6404 | """Test task module."""
import pytest
import voluptuous
from mysensors.sensor import ChildSensor, Sensor
from mysensors.const import get_const
def test_is_smart_sleep_node():
"""Test schedule persistence on threading gateway."""
const = get_const("1.4")
sensor_id = 1
sensor = Sensor(sensor_id)
s... | mit | fbb86f7b32086ab160b3ffddfd69fd08 | 31.180905 | 86 | 0.685197 | 3.312985 | false | true | false | false |
dashwav/nano-chan | cogs/spoils.py | 1 | 3168 | """
A cog that handles posting a large embed to block out spoils.
"""
import discord
import asyncio
from datetime import datetime, timedelta
from discord.ext import commands
from .utils import checks
class Spoils(commands.Cog):
"""
Class that creates a task to run every minute and check for
time since las... | mit | 0ce3ca91c92084a8675b0cd3294dbc2b | 40.116883 | 79 | 0.49463 | 4.662739 | false | false | false | false |
dashwav/nano-chan | cogs/stats.py | 1 | 21473 | """
Fun things with stats
"""
import discord
import datetime
from collections import defaultdict
from .utils import helpers, checks
from discord.ext import commands
ALLOWED_CHANNELS = [
378684962934751239,
282640120388255744,
220762067739738113,
176429411443146752,
]
class Stats(commands.Cog):
"""... | mit | 38a4f5625745e76d909eb05654c4a357 | 43.884937 | 273 | 0.531718 | 3.739759 | false | false | false | false |
jonathf/chaospy | chaospy/expansion/frontend.py | 1 | 4467 | """Frontend function for generating polynomial expansions."""
from .stieltjes import stieltjes
from .cholesky import cholesky
from .gram_schmidt import gram_schmidt
EXPANSION_NAMES = {
"ttr": "stieltjes",
"three_terms_recurrence": "stieltjes",
"stieltjes": "stieltjes",
"chol": "cholesky",
"cholesky... | mit | 0c7b1a2d5aa879e097a75b510f2e4d24 | 39.243243 | 80 | 0.506156 | 4.353801 | false | false | false | false |
jonathf/chaospy | chaospy/descriptives/variance.py | 1 | 1232 | """Variance operator."""
import numpy
import numpoly
from .expected import E
def Var(poly, dist=None, **kws):
"""
The variance of a distribution or polynomial.
Args:
poly (numpoly.ndpoly, Distribution):
Input to take variance on.
dist (Distribution):
Defines the s... | mit | 527e43bcbecf118ecce787ca20bf3f6f | 27.651163 | 72 | 0.559253 | 3.480226 | false | false | false | false |
jonathf/chaospy | chaospy/distributions/operators/negative.py | 1 | 2315 | """
Negative of a distribution.
Example usage
-------------
Invert sign of a distribution::
>>> distribution = -chaospy.Uniform()
>>> distribution
Negative(Uniform())
>>> distribution.sample(5).round(4)
array([-0.3464, -0.885 , -0.0497, -0.5178, -0.1275])
>>> distribution.fwd([-0.3, -0.2, -0.... | mit | 028a17566a667c84b8f68eaf5341f9bd | 24.43956 | 62 | 0.539525 | 3.307143 | false | false | false | false |
jonathf/chaospy | chaospy/distributions/collection/double_gamma.py | 1 | 2012 | """Double gamma distribution."""
import numpy
from scipy import special
from ..baseclass import SimpleDistribution, ShiftScaleDistribution
class double_gamma(SimpleDistribution):
"""Double gamma distribution."""
def __init__(self, a):
super(double_gamma, self).__init__(dict(a=a))
def _pdf(self,... | mit | ecd673d18c819c16c1c43480a720df25 | 27.338028 | 78 | 0.538767 | 3.303777 | false | false | false | false |
jblance/mpp-solar | mppsolar/outputs/json_mqtt.py | 1 | 1869 | import json as js
import logging
import re
from . import to_json
from .mqtt import mqtt
from ..helpers import get_kwargs
from ..helpers import key_wanted
log = logging.getLogger("json_mqtt")
class json_mqtt(mqtt):
def __str__(self):
return "outputs all the results to the supplied mqtt broker in a single... | mit | d63d1a1ee1871a5703c8728e692bed9e | 33.611111 | 111 | 0.58641 | 3.806517 | false | false | false | false |
jonathf/chaospy | chaospy/quadrature/lobatto.py | 1 | 5502 | # -*- coding: utf-8 -*-
"""
Generate the abscissas and weights in Gauss-Loboto quadrature.
Example usage
-------------
With increasing order::
>>> distribution = chaospy.Beta(2, 2, lower=-1, upper=1)
>>> for order in range(4): # doctest: +NORMALIZE_WHITESPACE
... X, W = chaospy.generate_quadrature(
... | mit | 32a69c1dce72219f6848c8a81f8be797 | 34.25641 | 81 | 0.580545 | 3.216374 | false | false | false | false |
jonathf/chaospy | chaospy/quadrature/sparse_grid.py | 1 | 5429 | """Smolyak sparse grid constructor."""
from collections import defaultdict
from itertools import product
import numpy
from scipy.special import comb
import numpoly
import chaospy
def sparse_grid(
order,
dist,
growth=None,
recurrence_algorithm="stieltjes",
rule="gaussian",
tolerance=1e-10,
... | mit | 035670735e41ca64a69600d05e206af2 | 33.801282 | 87 | 0.587769 | 3.578774 | false | false | false | false |
jonathf/chaospy | chaospy/quadrature/newton_cotes.py | 1 | 4354 | """
Example usage
-------------
Generate Newton-Cotes quadrature rules::
>>> distribution = chaospy.Uniform(0, 1)
>>> for order in range(5):
... abscissas, weights = chaospy.generate_quadrature(
... order, distribution, rule="newton_cotes")
... print(order, abscissas.round(3), wei... | mit | 8156830b0dbe2ff18bdaf78040c8996b | 36.534483 | 84 | 0.573496 | 3.017325 | false | false | false | false |
jblance/mpp-solar | mppsolar/outputs/postgres.py | 1 | 2288 | import logging
from datetime import datetime
import psycopg2 as psycopg2
from psycopg2._json import Json
from psycopg2.extensions import register_adapter
from . import to_json, get_common_params
from .baseoutput import baseoutput
from ..helpers import get_kwargs
log = logging.getLogger("postgres")
"""
To use, run `... | mit | cff033c59fb21a2991d5b8955a0c6a3f | 27.246914 | 117 | 0.593094 | 3.97913 | false | false | false | false |
scidash/sciunit | sciunit/models/runnable.py | 1 | 4954 | """Runnable model."""
import inspect
import warnings
from typing import Union
import sciunit.capabilities as cap
from .backends import Backend, available_backends
from .base import Model
class RunnableModel(Model, cap.Runnable):
"""A model which can be run to produce simulation results."""
def __init__(
... | mit | b9ebc69667fbb2995b6d6605f1a70e30 | 34.640288 | 107 | 0.557933 | 4.304083 | false | false | false | false |
jonathf/chaospy | chaospy/quadrature/chebyshev.py | 1 | 3938 | """Chebyshev-Gauss quadrature rule of the first kind."""
import numpy
import chaospy
from .hypercube import hypercube_quadrature
def chebyshev_1(order, lower=-1, upper=1, physicist=False):
r"""
Chebyshev-Gauss quadrature rule of the first kind.
Compute the sample points and weights for Chebyshev-Gauss q... | mit | 2bcfd3d614e52ed0882b843da8939157 | 35.12844 | 78 | 0.656679 | 3.639556 | false | false | false | false |
jonathf/chaospy | chaospy/distributions/approximation.py | 1 | 9969 | """Collection of approximation functions."""
import logging
import numpy
import chaospy
def approximate_inverse(
distribution,
idx,
qloc,
bounds=None,
cache=None,
parameters=None,
xloc0=None,
iterations=300,
tolerance=1e-12,
):
"""
Calculate the approximation of the invers... | mit | 344c4487cb02683bc83c0285c94693d0 | 34.603571 | 87 | 0.608587 | 3.970131 | false | false | false | false |
jblance/mpp-solar | mppsolar/inout/dalyserialio.py | 1 | 1630 | import logging
import serial
import time
from .baseio import BaseIO
from ..helpers import get_kwargs
log = logging.getLogger("DalySerialIO")
class DalySerialIO(BaseIO):
def __init__(self, *args, **kwargs) -> None:
self._serial_port = get_kwargs(kwargs, "device_path")
self._serial_baud = get_kwar... | mit | 076e87f5cb3464f5aa902dd0fb21dd18 | 36.906977 | 82 | 0.542331 | 4.034653 | false | false | false | false |
jonathf/chaospy | chaospy/distributions/sampler/sequences/sobol.py | 1 | 4235 | """
Generates samples from the Sobol sequence.
Papers::
Antonov, Saleev,
USSR Computational Mathematics and Mathematical Physics,
Volume 19, 1980, pages 252 - 256.
Paul Bratley, Bennett Fox,
Algorithm 659:
Implementing Sobol's Quasirandom Sequence Generator,
ACM Transactions on Mathematic... | mit | c48883b8914863ff146fb6b5fad8c94f | 31.083333 | 78 | 0.609681 | 3.48273 | false | false | false | false |
jonathf/chaospy | chaospy/descriptives/percentile.py | 1 | 1975 | """Percentile function."""
import numpy
import chaospy
def Perc(poly, q, dist, sample=10000, **kws):
"""
Percentile function.
Note that this function is an empirical function that operates using Monte
Carlo sampling.
Args:
poly (numpoly.ndpoly):
Polynomial of interest.
... | mit | fe77445ac45967ba7903df9488bfd33e | 29.384615 | 80 | 0.551392 | 3.144904 | false | false | false | false |
jblance/mpp-solar | mppsolar/protocols/jkabstractprotocol.py | 1 | 7558 | import logging
import struct
from .abstractprotocol import AbstractProtocol
from .protocol_helpers import crc8
log = logging.getLogger("jkAbstractProtocol")
SOR = bytes.fromhex("55aaeb90")
COMMANDS = {
"getInfo": {
"name": "getInfo",
"command_code": "97",
"record_type": "3",
"de... | mit | a6f71e1c3f1ce14749964d6b4c260619 | 40.756906 | 618 | 0.585737 | 4.184939 | false | false | false | false |
jonathf/chaospy | chaospy/distributions/collection/hyperbolic_secant.py | 1 | 1868 | """Hyperbolic secant distribution."""
import numpy
from scipy import special
from ..baseclass import SimpleDistribution, ShiftScaleDistribution
class hyperbolic_secant(SimpleDistribution):
"""Hyperbolic secant distribution."""
def __init__(self):
super(hyperbolic_secant, self).__init__()
def _p... | mit | 1114b905a2b4006fb290c22209acc958 | 26.072464 | 75 | 0.547645 | 3.384058 | false | false | false | false |
jblance/mpp-solar | mppsolar/inout/serialio.py | 1 | 1313 | import logging
import serial
import time
from .baseio import BaseIO
from ..helpers import get_kwargs
log = logging.getLogger("SerialIO")
class SerialIO(BaseIO):
def __init__(self, *args, **kwargs) -> None:
self._serial_port = get_kwargs(kwargs, "device_path")
self._serial_baud = get_kwargs(kwarg... | mit | 1967f711a765761c3fad68609fad3522 | 36.514286 | 82 | 0.579589 | 3.873156 | false | false | false | false |
pyamg/pyamg | pyamg/classical/classical.py | 1 | 6695 | """Classical AMG (Ruge-Stuben AMG)."""
from warnings import warn
from scipy.sparse import csr_matrix, isspmatrix_csr, SparseEfficiencyWarning
from pyamg.multilevel import MultilevelSolver
from pyamg.relaxation.smoothing import change_smoothers
from pyamg.strength import classical_strength_of_connection, \
symmet... | mit | f795c542231c97ba1fd5d4e9faff25cc | 35.38587 | 79 | 0.62599 | 3.832284 | false | false | false | false |
staticdev/django-pagination-bootstrap | src/django_pagination_bootstrap/paginator.py | 1 | 6137 | """paginator classes."""
from django.core.paginator import EmptyPage
from django.core.paginator import Page
from django.core.paginator import PageNotAnInteger
from django.core.paginator import Paginator
class InfinitePaginator(Paginator):
"""Paginator designed for when it's not important to know how many total pa... | mit | 5c02a23fe9677225c61c3e2e1fe589d8 | 31.3 | 83 | 0.617729 | 4.337102 | false | false | false | false |
atmtools/typhon | typhon/physics/units/em.py | 1 | 20325 | # -*- coding: utf-8 -*-
"""Module for anything related to the electromagnetic spectrum.
This module imports typhon.physics.units.common and therefore
has a soft dependency on the pint units library.
"""
# Any commits made to this module between 2015-05-01 and 2017-03-01
# by Gerrit Holl are developed for the EC proj... | mit | b3d9b8a5366e354f30ef85c0f32b82f4 | 36.583333 | 135 | 0.576989 | 3.530793 | false | false | false | false |
atmtools/typhon | typhon/plots/cm/_cmocean.py | 1 | 87751 | # -*- coding: utf-8 -*-
"""
It is a subset of the cmocean package [0] provided by Kristen M. Thyng.
The MIT License (MIT)
Copyright (c) 2015 Kristen M. Thyng
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 t... | mit | c373cbb18cdfd4906e4229a89bb3f4d7 | 40.568451 | 78 | 0.644711 | 1.99943 | false | false | false | false |
atmtools/typhon | typhon/physics/em.py | 1 | 21321 | # -*- coding: utf-8 -*-
"""Module for anything related to the electromagnetic spectrum.
"""
import numpy as np
from typhon import constants
__all__ = [
'planck',
'planck_wavelength',
'planck_wavenumber',
'rayleighjeans',
'rayleighjeans_wavelength',
'radiance2planckTb',
'radiance2rayleigh... | mit | 88ee5fd3c7307c6a445bda88fa399d76 | 26.943644 | 90 | 0.58243 | 3.217778 | false | false | false | false |
atmtools/typhon | typhon/retrieval/common.py | 1 | 11884 | from ast import literal_eval
import copy
from importlib import import_module
import numpy as np
import pandas as pd
from sklearn.pipeline import Pipeline
from typhon.utils import to_array
__all__ = [
'RetrievalProduct',
]
class NotTrainedError(Exception):
"""Should be raised if someone runs a non-trained re... | mit | e37e767484e8d7a0a2629a5ddd29357a | 30.191601 | 77 | 0.561595 | 4.706535 | false | false | false | false |
atmtools/typhon | setup.py | 1 | 2972 | """Typhon is a collection of tools for atmospheric research.
Typhon provides:
- reading and writing routines for ARTS XML files
- an API to run and access ARTS through Python
- conversion routines for various physical quantities
- a tool kit to collocate different data sets (e.g. satellite, ship, ...)
- different ret... | mit | f227ba027ae40f070369e1cfba631873 | 28.425743 | 78 | 0.605316 | 3.660099 | false | false | false | false |
liiight/notifiers | notifiers/core.py | 1 | 12450 | import logging
from abc import ABC
from abc import abstractmethod
import jsonschema
import requests
from jsonschema.exceptions import best_match
from .exceptions import BadArguments
from .exceptions import NoSuchNotifierError
from .exceptions import NotificationError
from .exceptions import SchemaError
from .utils.he... | mit | efaf3096dd616aff3bafd9de5d00da78 | 33.109589 | 117 | 0.638072 | 4.365358 | false | false | false | false |
caleb531/automata | automata/base/utils.py | 1 | 2735 | #!/usr/bin/env python3
"""Miscellaneous utility functions and classes."""
from frozendict import frozendict
def freezeValue(value):
"""
A helper function to convert the given value / structure into a fully
immutable one by recursively processing said structure and any of its
members, freezing them as... | mit | 4a03117a77aac8931329a8ce73910e04 | 32.765432 | 99 | 0.596344 | 4.08209 | false | false | false | false |
fabric-bolt/fabric-bolt | fabric_bolt/hosts/forms.py | 7 | 1571 | from django import forms
from crispy_forms.helper import FormHelper
from crispy_forms.layout import Layout, Submit
from crispy_forms.bootstrap import FormActions
from fabric_bolt.hosts import models
class HostCreateForm(forms.ModelForm):
class Meta:
model = models.Host
fields = ['name', 'alias']
... | mit | 313a1b2097d2059c6a5a9b6cf0faafe8 | 24.754098 | 66 | 0.616805 | 3.636574 | false | false | false | false |
beetbox/beets | beetsplug/deezer.py | 1 | 8660 | # This file is part of beets.
# Copyright 2019, Rahul Ahuja.
#
# 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, mod... | mit | dc557fc596a47f56b541b178da8df423 | 35.851064 | 79 | 0.579446 | 3.972477 | false | false | false | false |
beetbox/beets | beets/autotag/mb.py | 1 | 22483 | # This file is part of beets.
# Copyright 2016, Adrian Sampson.
#
# 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, ... | mit | 63e7489c62ab9088f198f8c15fd98ae3 | 35.146302 | 79 | 0.603701 | 3.901267 | false | false | false | false |
beetbox/beets | beetsplug/duplicates.py | 1 | 13255 | # This file is part of beets.
# Copyright 2016, Pedro Silva.
#
# 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, mod... | mit | f67c26fb7e01ed47550000fda3a00eb9 | 37.75731 | 79 | 0.483516 | 4.581749 | false | false | false | false |
beetbox/beets | beetsplug/spotify.py | 1 | 25045 | # This file is part of beets.
# Copyright 2019, Rahul Ahuja.
# Copyright 2022, Alok Saboo.
#
# 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 limitatio... | mit | 3ee825513dc4c78974ae7fced6e33373 | 36.380597 | 116 | 0.538071 | 4.260803 | false | false | false | false |
beetbox/beets | beetsplug/fuzzy.py | 2 | 1465 | # This file is part of beets.
# Copyright 2016, Philippe Mongeau.
#
# 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... | mit | ffa098162395102d9935882f884cebf9 | 30.847826 | 71 | 0.686689 | 4.173789 | false | true | false | false |
beetbox/beets | beetsplug/types.py | 2 | 1629 | # This file is part of beets.
# Copyright 2016, Thomas Scholtes.
#
# 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,... | mit | ed95dcc515f38ab222949f417ee5faeb | 31.58 | 71 | 0.626765 | 4.379032 | false | true | false | false |
beetbox/beets | test/test_importfeeds.py | 1 | 2123 | import os
import os.path
import tempfile
import shutil
import unittest
from beets import config
from beets.library import Item, Album, Library
from beetsplug.importfeeds import ImportFeedsPlugin
class ImportfeedsTestTest(unittest.TestCase):
def setUp(self):
config.clear()
config.read(user=False)... | mit | 9c10d165d521840fad92227d80434f34 | 33.241935 | 72 | 0.617993 | 3.604414 | false | true | false | false |
beetbox/beets | beetsplug/chroma.py | 2 | 11871 | # This file is part of beets.
# Copyright 2016, Adrian Sampson.
#
# 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, ... | mit | 183ff2c251e754e985b59e843fe5db38 | 33.408696 | 79 | 0.618145 | 4.00236 | false | false | false | false |
zarr-developers/zarr-python | zarr/meta_v1.py | 1 | 1655 | import json
import numpy as np
from zarr.errors import MetadataError
def decode_metadata(b):
s = str(b, 'ascii')
meta = json.loads(s)
zarr_format = meta.get('zarr_format', None)
if zarr_format != 1:
raise MetadataError('unsupported zarr format: %s' % zarr_format)
try:
meta = dict... | mit | 75d49d71eca17c041d713a321f2e8ac7 | 24.859375 | 72 | 0.583082 | 3.661504 | false | false | false | false |
zarr-developers/zarr-python | zarr/tests/test_convenience.py | 1 | 35689 | import atexit
import tempfile
import unittest
from numbers import Integral
import numpy as np
import pytest
from numcodecs import Adler32, Zlib
from numpy.testing import assert_array_equal
import zarr
from zarr.convenience import (
consolidate_metadata,
copy,
copy_store,
load,
open,
open_conso... | mit | e7a90911565df96089b1f92ab55f9273 | 34.196252 | 99 | 0.583849 | 3.650675 | false | true | false | false |
beetbox/beets | beetsplug/fetchart.py | 1 | 44426 | # This file is part of beets.
# Copyright 2016, Adrian Sampson.
#
# 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, ... | mit | ffed2a47d11e34c9f1a0aadc6046e399 | 37.631304 | 94 | 0.525368 | 4.345691 | false | false | false | false |
beetbox/beets | test/test_ui_commands.py | 1 | 3673 | # This file is part of beets.
# Copyright 2016, Adrian Sampson.
#
# 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, ... | mit | 577b761cc2e4e2ae3190409021439b6d | 29.355372 | 71 | 0.633542 | 3.608055 | false | true | false | false |
compas-dev/compas | src/compas_rhino/__init__.py | 1 | 9473 | """
************
compas_rhino
************
.. currentmodule:: compas_rhino
.. toctree::
:maxdepth: 1
compas_rhino.artists
compas_rhino.conduits
compas_rhino.conversions
compas_rhino.forms
compas_rhino.geometry
compas_rhino.utilities
"""
from __future__ import absolute_import
import io
i... | mit | 03152c4285f3462f84c2cd20fd7b9b74 | 26.780059 | 118 | 0.530033 | 3.874438 | false | false | false | false |
compas-dev/compas | src/compas/geometry/transformations/projection.py | 1 | 5282 | """
This library for transformations partly derived and was re-implemented from the
following online resources:
* http://www.lfd.uci.edu/~gohlke/code/transformations.py.html
* http://www.euclideanspace.com/maths/geometry/rotations/
* http://code.activestate.com/recipes/578108-determinant-of-matrix-of-any-o... | mit | fdd953267e7d75698e58d381d16d1080 | 32.220126 | 163 | 0.61738 | 4.379768 | false | false | false | false |
compas-dev/compas | src/compas/files/dxf.py | 1 | 2581 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from compas import _iotools
class DXF(object):
"""Class for working with DXF files.
Parameters
----------
filepath : path string | file-like object | URL string
A path, a file-like ob... | mit | f9a4381adafaf4df9a1102cfd79372e5 | 24.303922 | 72 | 0.598605 | 4.169628 | false | false | false | false |
compas-dev/compas | src/compas/data/__init__.py | 1 | 1843 | """
********************************************************************************
data
********************************************************************************
.. currentmodule:: compas.data
.. rst-class:: lead
This package provides a base data class for all COMPAS data objects such as geometry objects, r... | mit | 1ed3a465354e42fcfd02bfb7e6cf52a1 | 18 | 122 | 0.613673 | 3.784394 | false | false | false | false |
compas-dev/compas | src/compas_blender/artists/circleartist.py | 1 | 3737 | from typing import Any
from typing import List
from typing import Optional
from typing import Union
import bpy
import compas_blender
from compas.geometry import add_vectors
from compas.geometry import Circle
from compas.artists import PrimitiveArtist
from compas.colors import Color
from .artist import BlenderArtist
... | mit | 0779350d6a181c5b52495acddecf01ff | 29.884298 | 117 | 0.565962 | 4.280641 | false | false | false | false |
compas-dev/compas | src/compas/geometry/offset/offset.py | 1 | 6243 | from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
from compas.geometry import scale_vector
from compas.geometry import normalize_vector
from compas.geometry import add_vectors
from compas.geometry import subtract_vectors
from compas.geometry import cross_vecto... | mit | 6f2f5017e5a0011316d0267a06c3c47e | 29.753695 | 108 | 0.662182 | 4.035553 | false | false | false | false |
compas-dev/compas | src/compas_blender/artists/networkartist.py | 1 | 10273 | from typing import Any
from typing import Dict
from typing import List
from typing import Optional
from typing import Tuple
from typing import Union
import bpy
from functools import partial
import compas_blender
from compas.datastructures import Network
from compas.geometry import centroid_points
from compas.utilitie... | mit | 42744a191508d0774214530ef6e7255e | 31.926282 | 124 | 0.567215 | 4.495842 | false | false | false | false |
compas-dev/compas | src/compas/numerical/devo/devo_numpy.py | 1 | 7418 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from numpy import array
from numpy import argsort
from numpy import argmin
from numpy import delete
from numpy import eye
from numpy import floor
from numpy import max
from numpy import min
from numpy import ne... | mit | ef068166218b9407ab0cca35cd3260f1 | 27.312977 | 113 | 0.515638 | 3.56121 | false | false | false | false |
compas-dev/compas | src/compas_plotters/artists/meshartist.py | 1 | 23269 | from typing import Dict
from typing import Tuple
from typing import List
from typing import Union
from typing import Optional
from typing import Any
from typing_extensions import Literal
from matplotlib.collections import LineCollection, PatchCollection
from matplotlib.patches import Polygon as PolygonPatch
from matp... | mit | 699f32819cd7193191885886245584f7 | 30.744884 | 127 | 0.549186 | 4.286056 | false | false | false | false |
compas-dev/compas | src/compas/utilities/images.py | 1 | 1411 | from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
import os
import compas
if not compas.IPY:
import imageio
__all__ = ["gif_from_images"]
def gif_from_images(
files,
gif_path,
fps=10,
loop=0,
reverse=False,
pingpong=False,
... | mit | 94af30724e48937ddbda4e7d2e456bca | 22.915254 | 107 | 0.61871 | 3.876374 | false | false | false | false |
compas-dev/compas | src/compas/numerical/dr/dr_numpy.py | 1 | 8315 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from numpy import array
from numpy import isnan
from numpy import isinf
from numpy import ones
from numpy import zeros
from scipy.linalg import norm
from scipy.sparse import diags
from compas.numerical import ... | mit | 6cf73fc7e70e410ff0de77677b8cc853 | 31.354086 | 103 | 0.414432 | 3.75395 | false | false | false | false |
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