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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
c3591dd7e4fa04185bef35a749e2e0b73d499945 | 837 | py | Python | pocs/tests/test_state_machine.py | zacharyt20/POCS | 8f785eaf27178be7d72106cb82e5400a8b852ba8 | [
"MIT"
] | 1 | 2019-07-19T10:37:08.000Z | 2019-07-19T10:37:08.000Z | pocs/tests/test_state_machine.py | zacharyt20/POCS | 8f785eaf27178be7d72106cb82e5400a8b852ba8 | [
"MIT"
] | null | null | null | pocs/tests/test_state_machine.py | zacharyt20/POCS | 8f785eaf27178be7d72106cb82e5400a8b852ba8 | [
"MIT"
] | null | null | null | import os
import pytest
import yaml
from pocs.core import POCS
from pocs.observatory import Observatory
from pocs.utils import error
@pytest.fixture
def observatory():
observatory = Observatory(simulator=['all'])
yield observatory
def test_bad_state_machine_file():
with pytest.raises(error.InvalidConf... | 22.026316 | 60 | 0.746714 | 0 | 0 | 90 | 0.107527 | 106 | 0.126643 | 0 | 0 | 18 | 0.021505 |
c3592d71715ada6f67b45406f9503a1122617882 | 7,033 | py | Python | code/BacDup/scripts/gff_parser.py | JFsanchezherrero/TFM_UOC_AMoya | 74d860d90240d96d800031ff449e21e09bad826c | [
"Unlicense"
] | 2 | 2021-03-05T10:20:10.000Z | 2021-12-21T10:50:21.000Z | code/BacDup/scripts/gff_parser.py | JFsanchezherrero/TFM_UOC_AMoya | 74d860d90240d96d800031ff449e21e09bad826c | [
"Unlicense"
] | 7 | 2021-03-03T14:27:50.000Z | 2021-07-21T09:38:27.000Z | code/BacDup/scripts/gff_parser.py | JFsanchezherrero/TFM_UOC_AMoya | 74d860d90240d96d800031ff449e21e09bad826c | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python3
##############################################################
## Jose F. Sanchez & Alba Moya ##
## Copyright (C) 2020-2021 ##
##############################################################
'''
Created on 28 oct. 2020
@author: alba
Mo... | 35.882653 | 173 | 0.515854 | 0 | 0 | 4,147 | 0.589649 | 0 | 0 | 0 | 0 | 2,486 | 0.353476 |
c359a6fbb849b989ceb5b8e12f21bfb4e4e866fd | 1,729 | py | Python | PAL/Cross/client/sources-linux/build_library_zip.py | infosecsecurity/OSPTF | df3f63dc882db6d7e0b7bd80476e9bbc8471ac1f | [
"MIT"
] | 2 | 2017-11-23T01:07:37.000Z | 2021-06-25T05:03:49.000Z | PAL/Cross/client/sources-linux/build_library_zip.py | infosecsecurity/OSPTF | df3f63dc882db6d7e0b7bd80476e9bbc8471ac1f | [
"MIT"
] | null | null | null | PAL/Cross/client/sources-linux/build_library_zip.py | infosecsecurity/OSPTF | df3f63dc882db6d7e0b7bd80476e9bbc8471ac1f | [
"MIT"
] | 1 | 2018-05-22T02:28:43.000Z | 2018-05-22T02:28:43.000Z | import sys
from distutils.core import setup
import os
from glob import glob
import zipfile
import shutil
sys.path.insert(0, os.path.join('resources','library_patches'))
sys.path.insert(0, os.path.join('..','..','pupy'))
import pp
import additional_imports
import Crypto
all_dependencies=set([x.split('.')[0] for x,m i... | 36.020833 | 124 | 0.54251 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 229 | 0.132447 |
c35a27ffefb517296b644e56550ee85f278c4beb | 4,742 | py | Python | conans/test/functional/old/short_paths_test.py | Manu343726/conan | fe322a672307d29f99d2e7bc1c02c45c835028d7 | [
"MIT"
] | null | null | null | conans/test/functional/old/short_paths_test.py | Manu343726/conan | fe322a672307d29f99d2e7bc1c02c45c835028d7 | [
"MIT"
] | 1 | 2020-04-18T10:13:37.000Z | 2020-04-18T10:16:37.000Z | conans/test/functional/old/short_paths_test.py | alacasta/conan | 643a9c84fe6dc0cb2f9fcbfc9dc5bd2e789c690e | [
"MIT"
] | 1 | 2018-09-03T05:04:23.000Z | 2018-09-03T05:04:23.000Z | import os
import platform
import unittest
from conans.model.ref import ConanFileReference
from conans.test.utils.tools import NO_SETTINGS_PACKAGE_ID, TestClient
class ShortPathsTest(unittest.TestCase):
@unittest.skipUnless(platform.system() == "Windows", "Requires Windows")
def inconsistent_cache_test(self)... | 41.234783 | 97 | 0.633066 | 4,577 | 0.965205 | 0 | 0 | 4,525 | 0.954239 | 0 | 0 | 2,215 | 0.467102 |
c35a9f8a6f746b1900b91c33a9b1be7d36fdde7f | 4,086 | py | Python | data_collection/json2mongodb.py | kwond2/hedgehogs | 58dbed549a1e78e401fc90c7a7041d9979cfc2e4 | [
"MIT"
] | 9 | 2018-02-06T19:08:16.000Z | 2022-03-15T13:31:57.000Z | data_collection/json2mongodb.py | kwond2/hedgehogs | 58dbed549a1e78e401fc90c7a7041d9979cfc2e4 | [
"MIT"
] | 37 | 2018-02-09T21:22:58.000Z | 2021-12-13T19:51:24.000Z | data_collection/json2mongodb.py | kwond2/hedgehogs | 58dbed549a1e78e401fc90c7a7041d9979cfc2e4 | [
"MIT"
] | 10 | 2018-02-27T20:26:55.000Z | 2021-02-06T02:26:30.000Z | #-*- coding: utf-8 -*-
# import os
# from optparse import OptionParser
# from pymongo import MongoClient, bulk
# import json
# import collections
# import sys
from import_hedgehogs import *
HOST = '45.55.48.43'
PORT = 27017
DB = 'SEC_EDGAR'
class OrderedDictWithKeyEscaping(collections.OrderedDict):
def __setite... | 41.272727 | 121 | 0.670338 | 506 | 0.123837 | 0 | 0 | 0 | 0 | 0 | 0 | 2,298 | 0.562408 |
c35c0c54bc5945e22f05841e1485001ae7177f54 | 2,984 | py | Python | scripts/convert_to_singlehead.py | Lollipop321/mini-decoder-network | cfdaba579b45cba1d181585e5430178c1dc60049 | [
"BSD-3-Clause"
] | 1 | 2021-09-18T05:07:38.000Z | 2021-09-18T05:07:38.000Z | scripts/convert_to_singlehead.py | Lollipop321/mini-decoder-network | cfdaba579b45cba1d181585e5430178c1dc60049 | [
"BSD-3-Clause"
] | null | null | null | scripts/convert_to_singlehead.py | Lollipop321/mini-decoder-network | cfdaba579b45cba1d181585e5430178c1dc60049 | [
"BSD-3-Clause"
] | 1 | 2021-12-24T13:05:02.000Z | 2021-12-24T13:05:02.000Z | import torch
import math
import time
import struct
import argparse
import numpy as np
from collections import OrderedDict
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('-model', required=True, help="trained model prefix, also include dir, e.g. ../data/model-100")
args =... | 45.907692 | 146 | 0.560657 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 362 | 0.121314 |
c35c6a6a052a8839d6a0e36986573f0ad73f479f | 3,719 | py | Python | tests/integration/frameworks/test_detectron2_impl.py | francoisserra/BentoML | 213e9e9b39e055286f2649c733907df88e6d2503 | [
"Apache-2.0"
] | 1 | 2021-06-12T17:04:07.000Z | 2021-06-12T17:04:07.000Z | tests/integration/frameworks/test_detectron2_impl.py | francoisserra/BentoML | 213e9e9b39e055286f2649c733907df88e6d2503 | [
"Apache-2.0"
] | 4 | 2021-05-16T08:06:25.000Z | 2021-11-13T08:46:36.000Z | tests/integration/frameworks/test_detectron2_impl.py | francoisserra/BentoML | 213e9e9b39e055286f2649c733907df88e6d2503 | [
"Apache-2.0"
] | null | null | null | import typing as t
from typing import TYPE_CHECKING
import numpy as np
import torch
import pytest
import imageio
from detectron2 import model_zoo
from detectron2.data import transforms as T
from detectron2.config import get_cfg
from detectron2.modeling import build_model
import bentoml
if TYPE_CHECKING:
from det... | 30.483607 | 85 | 0.705835 | 0 | 0 | 0 | 0 | 982 | 0.264049 | 0 | 0 | 565 | 0.151923 |
c35c97b552a6619198e65898ccb72250776063d5 | 1,867 | py | Python | molecule/default/tests/test_default.py | escalate/ansible-influxdb-docker | bbb2c259bd1de3c4c40322103a05894494af7104 | [
"MIT"
] | null | null | null | molecule/default/tests/test_default.py | escalate/ansible-influxdb-docker | bbb2c259bd1de3c4c40322103a05894494af7104 | [
"MIT"
] | null | null | null | molecule/default/tests/test_default.py | escalate/ansible-influxdb-docker | bbb2c259bd1de3c4c40322103a05894494af7104 | [
"MIT"
] | null | null | null | """Role testing files using testinfra"""
def test_config_directory(host):
"""Check config directory"""
f = host.file("/etc/influxdb")
assert f.is_directory
assert f.user == "influxdb"
assert f.group == "root"
assert f.mode == 0o775
def test_data_directory(host):
"""Check data directory""... | 28.287879 | 77 | 0.664167 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 806 | 0.431709 |
c35eb72d85ca1063b3957ca321301a14a1c4baba | 3,847 | py | Python | ZIP-v0.01/Serial_to_MQTT.py | JittoThomas/IOT | 994fa25087d14e33c2d82b9c9d526f65823b6fa8 | [
"MIT"
] | null | null | null | ZIP-v0.01/Serial_to_MQTT.py | JittoThomas/IOT | 994fa25087d14e33c2d82b9c9d526f65823b6fa8 | [
"MIT"
] | null | null | null | ZIP-v0.01/Serial_to_MQTT.py | JittoThomas/IOT | 994fa25087d14e33c2d82b9c9d526f65823b6fa8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import cayenne.client, datetime, time, serial
# import random
#Delay Start
#print "Time now = ", datetime.datetime.now().strftime("%H-%M-%S")
#time.sleep(60)
#print "Starting now = ", datetime.datetime.now().strftime("%H-%M-%S")
# Cayenne authentication info. This should be obtained from the Cay... | 31.276423 | 114 | 0.641539 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,851 | 0.481154 |
c35efbe149c76dcc538b4f5467731ccd578e9db2 | 1,841 | py | Python | test/test_slimta_queue_proxy.py | nanojob/python-slimta | 70b9c633756a56afaf1fdd53c5ead6d0001036e7 | [
"MIT"
] | 141 | 2015-01-24T23:59:18.000Z | 2022-01-30T16:36:37.000Z | test/test_slimta_queue_proxy.py | nanojob/python-slimta | 70b9c633756a56afaf1fdd53c5ead6d0001036e7 | [
"MIT"
] | 106 | 2015-01-13T22:49:07.000Z | 2021-02-17T15:14:11.000Z | test/test_slimta_queue_proxy.py | nanojob/python-slimta | 70b9c633756a56afaf1fdd53c5ead6d0001036e7 | [
"MIT"
] | 43 | 2015-07-29T14:55:09.000Z | 2021-09-24T22:30:38.000Z |
import unittest
from mox3.mox import MoxTestBase, IsA
from slimta.queue.proxy import ProxyQueue
from slimta.smtp.reply import Reply
from slimta.relay import Relay, TransientRelayError, PermanentRelayError
from slimta.envelope import Envelope
class TestProxyQueue(MoxTestBase, unittest.TestCase):
def setUp(self)... | 29.693548 | 72 | 0.634438 | 1,556 | 0.845193 | 0 | 0 | 0 | 0 | 0 | 0 | 123 | 0.066812 |
c3601f9d19e300648c3ba875a58c68aa35eadc52 | 1,912 | py | Python | tests/potential/EamPotential/Al__born_exp_fs/test____init__.py | eragasa/pypospack | 21cdecaf3b05c87acc532d992be2c04d85bfbc22 | [
"MIT"
] | 4 | 2018-01-18T19:59:56.000Z | 2020-08-25T11:56:52.000Z | tests/potential/EamPotential/Al__born_exp_fs/test____init__.py | eragasa/pypospack | 21cdecaf3b05c87acc532d992be2c04d85bfbc22 | [
"MIT"
] | 1 | 2018-04-22T23:02:13.000Z | 2018-04-22T23:02:13.000Z | tests/potential/EamPotential/Al__born_exp_fs/test____init__.py | eragasa/pypospack | 21cdecaf3b05c87acc532d992be2c04d85bfbc22 | [
"MIT"
] | 1 | 2019-09-14T07:04:42.000Z | 2019-09-14T07:04:42.000Z | import pytest
from pypospack.potential import EamPotential
symbols = ['Al']
func_pair_name = "bornmayer"
func_density_name = "eam_dens_exp"
func_embedding_name = "fs"
expected_parameter_names_pair_potential = []
expected_parameter_names_density_function = []
expected_parameter_names_embedding_function = []
expected_... | 30.83871 | 72 | 0.684623 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 344 | 0.179916 |
c36035176be4720b8166b5477e11e4a52ab157d4 | 417 | py | Python | backend/bin/main/enrichers/enricher.py | anjo-ba/PCAP-Analyzer | ccb13caba9c0c05a7643e63c57575b56ab1233cb | [
"MIT"
] | 4 | 2019-03-29T08:45:36.000Z | 2021-11-11T00:49:36.000Z | backend/bin/main/enrichers/enricher.py | anjo-ba/PCAP-Analyzer | ccb13caba9c0c05a7643e63c57575b56ab1233cb | [
"MIT"
] | 9 | 2019-04-03T18:10:19.000Z | 2020-08-16T12:13:34.000Z | backend/bin/main/enrichers/enricher.py | anjo-ba/PCAP-Analyzer | ccb13caba9c0c05a7643e63c57575b56ab1233cb | [
"MIT"
] | 4 | 2019-05-09T15:33:23.000Z | 2022-02-06T08:01:23.000Z | from typing import Dict
from main.helpers.print_helper import PrintHelper
class Enricher(object):
def __init__(self, enricher_type: str, header: str) -> None:
self.enricher_type = enricher_type
self.header = header
def get_information(self, packet: Dict[str, str], information_dict) -> None:
... | 26.0625 | 80 | 0.70024 | 339 | 0.81295 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c360b0127afead19c24d728369419544803b4819 | 2,191 | py | Python | Modulo_5/proyecto/presentacion/form_ubicacion/formAUbicacion_designer.py | AutodidactaMx/cocid_python | 11628f465ff362807a692c79ede26bf30dd8e26a | [
"MIT"
] | null | null | null | Modulo_5/proyecto/presentacion/form_ubicacion/formAUbicacion_designer.py | AutodidactaMx/cocid_python | 11628f465ff362807a692c79ede26bf30dd8e26a | [
"MIT"
] | null | null | null | Modulo_5/proyecto/presentacion/form_ubicacion/formAUbicacion_designer.py | AutodidactaMx/cocid_python | 11628f465ff362807a692c79ede26bf30dd8e26a | [
"MIT"
] | 1 | 2022-03-04T00:57:18.000Z | 2022-03-04T00:57:18.000Z | import tkinter as tk
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from pandastable import Table
import util.generic as utl
class FormUbicacionDesigner(tk.Toplevel):
def __init__(self):
super().__init__()
def initialize_component(self):
... | 41.339623 | 137 | 0.645824 | 1,968 | 0.89781 | 0 | 0 | 0 | 0 | 0 | 0 | 102 | 0.046533 |
c362e5ae43a55d318ef4b490ee0fc9d950ff6b12 | 138 | py | Python | injector/__init__.py | vnepomuceno/kafka-events-injector | 66fb490b1a3d5f06737689005c639b1785a6bb37 | [
"MIT"
] | null | null | null | injector/__init__.py | vnepomuceno/kafka-events-injector | 66fb490b1a3d5f06737689005c639b1785a6bb37 | [
"MIT"
] | null | null | null | injector/__init__.py | vnepomuceno/kafka-events-injector | 66fb490b1a3d5f06737689005c639b1785a6bb37 | [
"MIT"
] | null | null | null | import coloredlogs
coloredlogs.install()
custom_logger = logging.getLogger(name)
coloredlogs.install(level="INFO", logger=custom_logger)
| 23 | 55 | 0.826087 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0.043478 |
c3636918f6e548937ced74b698a4a4c3213be188 | 4,008 | py | Python | setup.py | Lcvette/qtpyvcp | 4143a4a4e1f557f7d0c8998c886b4a254f0be60b | [
"BSD-3-Clause-LBNL",
"MIT"
] | 71 | 2018-12-13T20:31:18.000Z | 2022-03-26T08:44:22.000Z | setup.py | Lcvette/qtpyvcp | 4143a4a4e1f557f7d0c8998c886b4a254f0be60b | [
"BSD-3-Clause-LBNL",
"MIT"
] | 78 | 2019-01-10T18:16:33.000Z | 2022-03-18T19:30:49.000Z | setup.py | Lcvette/qtpyvcp | 4143a4a4e1f557f7d0c8998c886b4a254f0be60b | [
"BSD-3-Clause-LBNL",
"MIT"
] | 38 | 2018-10-10T19:02:26.000Z | 2022-01-30T04:38:14.000Z | import os
import versioneer
from setuptools import setup, find_packages
with open("README.md", "r") as fh:
long_description = fh.read()
if os.getenv('DEB_BUILD') == 'true' or os.getenv('USER') == 'root':
"/usr/share/doc/linuxcnc/examples/sample-configs/sim"
# list of (destination, source_file) tuples
... | 31.809524 | 87 | 0.611776 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,010 | 0.501497 |
c363cccc0f9ae4f989abcc27c186813cc42c4212 | 4,366 | py | Python | hidparser/UsagePage.py | NZSmartie/PyHIDParser | a2758929c82a4316a665a779b9a391740103b318 | [
"MIT"
] | 22 | 2016-04-28T10:29:11.000Z | 2022-02-02T17:30:08.000Z | hidparser/UsagePage.py | NZSmartie/PyHIDParser | a2758929c82a4316a665a779b9a391740103b318 | [
"MIT"
] | 12 | 2016-04-24T03:29:00.000Z | 2018-11-26T22:34:37.000Z | hidparser/UsagePage.py | NZSmartie/PyHIDParser | a2758929c82a4316a665a779b9a391740103b318 | [
"MIT"
] | 5 | 2017-02-21T13:01:25.000Z | 2021-10-04T07:13:53.000Z | from enum import Enum as _Enum
class UsageType(_Enum):
CONTROL_LINEAR = ()
CONTROL_ON_OFF = ()
CONTROL_MOMENTARY = ()
CONTROL_ONE_SHOT = ()
CONTROL_RE_TRIGGER = ()
DATA_SELECTOR = ()
DATA_STATIC_VALUE = ()
DATA_STATIC_FLAG = ()
DATA_DYNAMIC_VALUE = ()
DATA_DYNAMIC_FLAG = ()
... | 35.209677 | 136 | 0.633074 | 4,324 | 0.99038 | 0 | 0 | 1,875 | 0.429455 | 0 | 0 | 378 | 0.086578 |
c3645b451a58c6438e6127bf646d7ebd0d06fa74 | 1,505 | py | Python | sandbox/lib/jumpscale/JumpscaleLibs/tools/legal_contracts/LegalDoc.py | threefoldtech/threebot_prebuilt | 1f0e1c65c14cef079cd80f73927d7c8318755c48 | [
"Apache-2.0"
] | 2 | 2019-05-09T07:21:25.000Z | 2019-08-05T06:37:53.000Z | sandbox/lib/jumpscale/JumpscaleLibs/tools/legal_contracts/LegalDoc.py | threefoldtech/threebot_prebuilt | 1f0e1c65c14cef079cd80f73927d7c8318755c48 | [
"Apache-2.0"
] | 664 | 2018-12-19T12:43:44.000Z | 2019-08-23T04:24:42.000Z | sandbox/lib/jumpscale/JumpscaleLibs/tools/legal_contracts/LegalDoc.py | threefoldtech/threebot_prebuilt | 1f0e1c65c14cef079cd80f73927d7c8318755c48 | [
"Apache-2.0"
] | 7 | 2019-05-03T07:14:37.000Z | 2019-08-05T12:36:52.000Z | from reportlab.lib.pagesizes import A4
from reportlab.lib.units import cm
from reportlab.lib.styles import getSampleStyleSheet
from reportlab.platypus import BaseDocTemplate, Frame, PageTemplate, Paragraph
class LegalDoc:
def __init__(self, path):
self.path = path
styles = getSampleStyleSheet()
... | 35 | 108 | 0.639203 | 1,296 | 0.86113 | 0 | 0 | 0 | 0 | 0 | 0 | 180 | 0.119601 |
c3681201a4fff8ff597af63f6abe3f4d4fb7b0ce | 5,627 | py | Python | tests/outcome/test_outcome_models.py | ConnorBarnhill/kf-api-dataservice | 547df467a307788882469a25c947a14965a26336 | [
"Apache-2.0"
] | 6 | 2018-01-25T13:49:24.000Z | 2020-03-07T16:25:09.000Z | tests/outcome/test_outcome_models.py | ConnorBarnhill/kf-api-dataservice | 547df467a307788882469a25c947a14965a26336 | [
"Apache-2.0"
] | 369 | 2018-01-17T15:22:18.000Z | 2022-03-10T19:14:56.000Z | tests/outcome/test_outcome_models.py | ConnorBarnhill/kf-api-dataservice | 547df467a307788882469a25c947a14965a26336 | [
"Apache-2.0"
] | 3 | 2018-04-11T14:18:37.000Z | 2018-10-31T19:09:48.000Z | from datetime import datetime
import uuid
from sqlalchemy.exc import IntegrityError
from dataservice.api.study.models import Study
from dataservice.api.participant.models import Participant
from dataservice.api.outcome.models import Outcome
from dataservice.extensions import db
from tests.utils import FlaskTestCase
... | 30.252688 | 72 | 0.594633 | 5,305 | 0.942776 | 0 | 0 | 0 | 0 | 0 | 0 | 1,547 | 0.274924 |
c368cab3b6e074a25c4387726e3ddcf458b2da2f | 384 | py | Python | sapextractor/utils/fields_corresp/extract_dd03t.py | aarkue/sap-meta-explorer | 613bf657bbaa72a3781a84664e5de7626516532f | [
"Apache-2.0"
] | 2 | 2021-02-10T08:09:35.000Z | 2021-05-21T06:25:34.000Z | sapextractor/utils/fields_corresp/extract_dd03t.py | aarkue/sap-meta-explorer | 613bf657bbaa72a3781a84664e5de7626516532f | [
"Apache-2.0"
] | null | null | null | sapextractor/utils/fields_corresp/extract_dd03t.py | aarkue/sap-meta-explorer | 613bf657bbaa72a3781a84664e5de7626516532f | [
"Apache-2.0"
] | 3 | 2021-11-22T13:27:00.000Z | 2022-03-16T22:08:51.000Z | def apply(con, target_language="E"):
dict_field_desc = {}
try:
df = con.prepare_and_execute_query("DD03T", ["DDLANGUAGE", "FIELDNAME", "DDTEXT"], " WHERE DDLANGUAGE = '"+target_language+"'")
stream = df.to_dict("records")
for el in stream:
dict_field_desc[el["FIELDNAME"]] = e... | 34.909091 | 135 | 0.611979 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 0.247396 |
c3693f12a03bbf78b7f7bcf22ea6cd2fd4184fd8 | 1,043 | py | Python | app/forms/fields/month_year_date_field.py | ons-eq-team/eq-questionnaire-runner | 8d029097faa2b9d53d9621064243620db60c62c7 | [
"MIT"
] | null | null | null | app/forms/fields/month_year_date_field.py | ons-eq-team/eq-questionnaire-runner | 8d029097faa2b9d53d9621064243620db60c62c7 | [
"MIT"
] | null | null | null | app/forms/fields/month_year_date_field.py | ons-eq-team/eq-questionnaire-runner | 8d029097faa2b9d53d9621064243620db60c62c7 | [
"MIT"
] | null | null | null | import logging
from werkzeug.utils import cached_property
from wtforms import FormField, Form, StringField
logger = logging.getLogger(__name__)
def get_form_class(validators):
class YearMonthDateForm(Form):
year = StringField(validators=validators)
month = StringField()
@cached_property... | 26.74359 | 68 | 0.607862 | 825 | 0.790988 | 0 | 0 | 305 | 0.292426 | 0 | 0 | 53 | 0.050815 |
c36a18741da6b1e9a7e803a47b014cff09f34cfc | 310 | py | Python | inf_classif_analysis/descriptive_analysis.py | Marco-Ametrano/myocardal_infarction_class | d2fb9d4d6643d0b836ffdb94a32911eb4d68c390 | [
"MIT"
] | null | null | null | inf_classif_analysis/descriptive_analysis.py | Marco-Ametrano/myocardal_infarction_class | d2fb9d4d6643d0b836ffdb94a32911eb4d68c390 | [
"MIT"
] | null | null | null | inf_classif_analysis/descriptive_analysis.py | Marco-Ametrano/myocardal_infarction_class | d2fb9d4d6643d0b836ffdb94a32911eb4d68c390 | [
"MIT"
] | null | null | null | #AFTER PREPROCESSING AND TARGETS DEFINITION
newdataset.describe()
LET_IS.value_counts()
LET_IS.value_counts().plot(kind='bar', color='c')
Y_unica.value_counts()
Y_unica.value_counts().plot(kind='bar', color='c')
ZSN.value_counts().plot(kind='bar', color='c')
Survive.value_counts().plot(kind='bar', color='c')
| 34.444444 | 50 | 0.748387 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 0.241935 |
c36a8c07a26ce0690e0700b966816f0b550bb368 | 1,568 | py | Python | src/service/eda_service.py | LiuYuWei/service-data-eda-analysis | 7dcbf205a0a3715cf3d199356bd1814b8d47b52d | [
"Apache-2.0"
] | null | null | null | src/service/eda_service.py | LiuYuWei/service-data-eda-analysis | 7dcbf205a0a3715cf3d199356bd1814b8d47b52d | [
"Apache-2.0"
] | null | null | null | src/service/eda_service.py | LiuYuWei/service-data-eda-analysis | 7dcbf205a0a3715cf3d199356bd1814b8d47b52d | [
"Apache-2.0"
] | null | null | null | """Confusion matrix calculation service."""
# coding=utf-8
# import relation package.
from pandas_profiling import ProfileReport
import pandas as pd
import datetime
import json
# import project package.
from config.config_setting import ConfigSetting
class EdaService:
"""Confusion matrix calculation service."""
... | 32.666667 | 88 | 0.655612 | 1,313 | 0.837372 | 0 | 0 | 0 | 0 | 0 | 0 | 394 | 0.251276 |
c36b30969b08b61066b6a7a3898735992cd717ad | 1,385 | py | Python | google/cloud/bigquery_v2/types/__init__.py | KoffieLabs/python-bigquery | 33b317abdc6d69f33722cb0504bb0b78c1c80e30 | [
"Apache-2.0"
] | null | null | null | google/cloud/bigquery_v2/types/__init__.py | KoffieLabs/python-bigquery | 33b317abdc6d69f33722cb0504bb0b78c1c80e30 | [
"Apache-2.0"
] | null | null | null | google/cloud/bigquery_v2/types/__init__.py | KoffieLabs/python-bigquery | 33b317abdc6d69f33722cb0504bb0b78c1c80e30 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2022 Google LLC
#
# 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... | 25.181818 | 74 | 0.724188 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 828 | 0.597834 |
c36b323dde6e6584446ed2e96c3983eea6ffe2a3 | 4,365 | py | Python | blurr/core/store.py | ddrightnow/blurr | a8745101d4a8a85ccf1efc608dba8486d3cebb49 | [
"Apache-2.0"
] | null | null | null | blurr/core/store.py | ddrightnow/blurr | a8745101d4a8a85ccf1efc608dba8486d3cebb49 | [
"Apache-2.0"
] | 7 | 2019-12-16T20:58:29.000Z | 2022-02-09T23:57:32.000Z | blurr/core/store.py | ddrightnow/blurr | a8745101d4a8a85ccf1efc608dba8486d3cebb49 | [
"Apache-2.0"
] | null | null | null | from abc import abstractmethod, ABC
from datetime import datetime, timezone
from typing import Any, List, Tuple, Dict
from blurr.core.base import BaseSchema
from blurr.core.store_key import Key, KeyType
class StoreSchema(BaseSchema):
pass
class Store(ABC):
""" Base Store that allows for data to be persiste... | 33.837209 | 100 | 0.595647 | 4,155 | 0.95189 | 0 | 0 | 2,317 | 0.530813 | 0 | 0 | 1,437 | 0.32921 |
c36b874a06452316ba72dfbbdea4c8d952355b51 | 1,411 | py | Python | seamless/core/cache/tempref.py | sjdv1982/seamless | 1b814341e74a56333c163f10e6f6ceab508b7df9 | [
"MIT"
] | 15 | 2017-06-07T12:49:12.000Z | 2020-07-25T18:06:04.000Z | seamless/core/cache/tempref.py | sjdv1982/seamless | 1b814341e74a56333c163f10e6f6ceab508b7df9 | [
"MIT"
] | 110 | 2016-06-21T23:20:44.000Z | 2022-02-24T16:15:22.000Z | seamless/core/cache/tempref.py | sjdv1982/seamless | 1b814341e74a56333c163f10e6f6ceab508b7df9 | [
"MIT"
] | 6 | 2016-06-21T11:19:22.000Z | 2019-01-21T13:45:39.000Z | import time, copy
import asyncio
class TempRefManager:
def __init__(self):
self.refs = []
self.running = False
def add_ref(self, ref, lifetime, on_shutdown):
expiry_time = time.time() + lifetime
self.refs.append((ref, expiry_time, on_shutdown))
def purge_all(self):
... | 26.12963 | 57 | 0.546421 | 1,191 | 0.844082 | 0 | 0 | 0 | 0 | 324 | 0.229624 | 127 | 0.090007 |
c36b9227e1e39aa4000c6b92c3dbf8f27a5ea7f5 | 8,775 | py | Python | lib/python27/Lib/site-packages/wx-2.8-msw-ansi/wx/tools/Editra/src/eclib/choicedlg.py | bo3b/iZ3D | ced8b3a4b0a152d0177f2e94008918efc76935d5 | [
"MIT"
] | 27 | 2020-11-12T19:24:54.000Z | 2022-03-27T23:10:45.000Z | lib/python27/Lib/site-packages/wx-2.8-msw-ansi/wx/tools/Editra/src/eclib/choicedlg.py | bo3b/iZ3D | ced8b3a4b0a152d0177f2e94008918efc76935d5 | [
"MIT"
] | 2 | 2020-11-02T06:30:39.000Z | 2022-02-23T18:39:55.000Z | lib/python27/Lib/site-packages/wx-2.8-msw-ansi/wx/tools/Editra/src/eclib/choicedlg.py | bo3b/iZ3D | ced8b3a4b0a152d0177f2e94008918efc76935d5 | [
"MIT"
] | 3 | 2021-08-16T00:21:08.000Z | 2022-02-23T19:19:36.000Z | ###############################################################################
# Name: choicedlg.py #
# Purpose: Generic Choice Dialog #
# Author: Cody Precord <cprecord@editra.org> #
... | 30.574913 | 79 | 0.509972 | 7,412 | 0.844672 | 0 | 0 | 0 | 0 | 0 | 0 | 2,998 | 0.341652 |
c36ce52f1b69aad8e3b2676523c1755292c1c03c | 29,068 | py | Python | src/flower/proto/transport_pb2.py | xinchiqiu/flower | ef12441fdebaa32f34e12dd02dfa376fa2988eaf | [
"Apache-2.0"
] | null | null | null | src/flower/proto/transport_pb2.py | xinchiqiu/flower | ef12441fdebaa32f34e12dd02dfa376fa2988eaf | [
"Apache-2.0"
] | null | null | null | src/flower/proto/transport_pb2.py | xinchiqiu/flower | ef12441fdebaa32f34e12dd02dfa376fa2988eaf | [
"Apache-2.0"
] | 1 | 2020-06-01T11:06:18.000Z | 2020-06-01T11:06:18.000Z | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: flower/proto/transport.proto
from google.protobuf.internal import enum_type_wrapper
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection a... | 39.494565 | 2,507 | 0.762901 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7,963 | 0.273944 |
c36ddd7acdde8453a1b9743b8e731fb3b4051614 | 80 | py | Python | shopyo/__init__.py | rehmanis/shopyo2 | 3e26602149f09aa4c13a1b4b6fba296bd82af99f | [
"MIT"
] | 2 | 2021-04-17T09:59:48.000Z | 2021-04-17T10:12:02.000Z | shopyo/__init__.py | rehmanis/shopyo2 | 3e26602149f09aa4c13a1b4b6fba296bd82af99f | [
"MIT"
] | 15 | 2021-04-01T19:54:46.000Z | 2021-04-07T22:25:40.000Z | shopyo/__init__.py | rehmanis/shopyo2 | 3e26602149f09aa4c13a1b4b6fba296bd82af99f | [
"MIT"
] | null | null | null | version_info = (4, 0, 1)
__version__ = ".".join([str(v) for v in version_info])
| 26.666667 | 54 | 0.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0.0375 |
c36e4faa6f3051be3ca85cd0b16d04294152aa32 | 3,748 | py | Python | check_digit_calc.py | zhoffm/Check-Digit-Calculator | 5f86304901279678c74858811a452866785bd8f4 | [
"MIT"
] | 1 | 2019-08-29T13:07:08.000Z | 2019-08-29T13:07:08.000Z | check_digit_calc.py | zhoffm/Check-Digit-Calculator | 5f86304901279678c74858811a452866785bd8f4 | [
"MIT"
] | null | null | null | check_digit_calc.py | zhoffm/Check-Digit-Calculator | 5f86304901279678c74858811a452866785bd8f4 | [
"MIT"
] | null | null | null | from random import randint
import pandas as pd
def random_11_digit_upc():
upc_string = ''.join(["%s" % randint(0, 9) for num in range(0, 11)])
print(upc_string)
return upc_string
# Class to calculate the check digit for 11 digit UPC's
class CheckDigitCalculations:
def __init__(self):
self.i... | 32.591304 | 109 | 0.627535 | 3,355 | 0.894667 | 0 | 0 | 0 | 0 | 0 | 0 | 583 | 0.155467 |
c36ea7dbd20120b593de7ef575a4b4b1a54e3de9 | 4,976 | py | Python | test/test_load.py | ramsdalesteve/forest | 12cac1b3dd93c4475a8a4f696c522576b44f16eb | [
"BSD-3-Clause"
] | null | null | null | test/test_load.py | ramsdalesteve/forest | 12cac1b3dd93c4475a8a4f696c522576b44f16eb | [
"BSD-3-Clause"
] | null | null | null | test/test_load.py | ramsdalesteve/forest | 12cac1b3dd93c4475a8a4f696c522576b44f16eb | [
"BSD-3-Clause"
] | null | null | null | import yaml
import forest
from forest import main
def test_earth_networks_loader_given_pattern():
loader = forest.Loader.from_pattern("Label", "EarthNetworks*.txt", "earth_networks")
assert isinstance(loader, forest.earth_networks.Loader)
def test_build_loader_given_files():
"""replicate main.py as clos... | 32.103226 | 88 | 0.696744 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 840 | 0.16881 |
c3700515c9a1fa4d06df6da6a4d88cc145398124 | 481 | py | Python | tournaments/binarySearch/binarySearch.py | gurfinkel/codeSignal | 114817947ac6311bd53a48f0f0e17c0614bf7911 | [
"MIT"
] | 5 | 2020-02-06T09:51:22.000Z | 2021-03-19T00:18:44.000Z | tournaments/binarySearch/binarySearch.py | gurfinkel/codeSignal | 114817947ac6311bd53a48f0f0e17c0614bf7911 | [
"MIT"
] | null | null | null | tournaments/binarySearch/binarySearch.py | gurfinkel/codeSignal | 114817947ac6311bd53a48f0f0e17c0614bf7911 | [
"MIT"
] | 3 | 2019-09-27T13:06:21.000Z | 2021-04-20T23:13:17.000Z | def binarySearch(inputArray, searchElement):
minIndex = -1
maxIndex = len(inputArray)
while minIndex < maxIndex - 1:
currentIndex = (minIndex + maxIndex) // 2
currentElement = inputArray[currentIndex]
if currentElement < searchElement:
minIndex = currentIndex
... | 26.722222 | 76 | 0.634096 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c3704e5ac8ab23d0d2914d6aa73d29d45471acf6 | 4,309 | py | Python | swagger_server/models/rule.py | Capping-WAR/API | 981823732f2b4f8bc007da657d5195579eb7dad3 | [
"MIT"
] | null | null | null | swagger_server/models/rule.py | Capping-WAR/API | 981823732f2b4f8bc007da657d5195579eb7dad3 | [
"MIT"
] | 2 | 2019-09-24T23:45:34.000Z | 2019-10-11T20:06:54.000Z | swagger_server/models/rule.py | Capping-WAR/API | 981823732f2b4f8bc007da657d5195579eb7dad3 | [
"MIT"
] | null | null | null | # coding: utf-8
from __future__ import absolute_import
from datetime import date, datetime # noqa: F401
from typing import List, Dict # noqa: F401
from swagger_server.models.base_model_ import Model
from swagger_server import util
class Rule(Model):
"""NOTE: This class is auto generated by the swagger code g... | 27.44586 | 120 | 0.589464 | 4,070 | 0.944535 | 0 | 0 | 2,816 | 0.653516 | 0 | 0 | 2,522 | 0.585287 |
c371765c42e0c448d7d486fc65c3f350acc4e5ed | 864 | py | Python | Project1/mazes/gen_sparses.py | VFerrari/MC906 | b04d3df58ef56203882fc59c03874f92c0d223fe | [
"MIT"
] | null | null | null | Project1/mazes/gen_sparses.py | VFerrari/MC906 | b04d3df58ef56203882fc59c03874f92c0d223fe | [
"MIT"
] | null | null | null | Project1/mazes/gen_sparses.py | VFerrari/MC906 | b04d3df58ef56203882fc59c03874f92c0d223fe | [
"MIT"
] | null | null | null | import os
import re
import numpy as np
# WARNING: this function overrides the mazes in sparse directory; don't run it
# as the idea is that everyone test the same mazes
def gen_sparses(dir_path):
''' Randomly remove points from dense instances '''
pattern = re.compile('^([0-9]+[a-zA-Z]+)')
denses_fn = [x for x... | 34.56 | 102 | 0.605324 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 249 | 0.288194 |
c3718e6eac42b785991cffcfe402fff63a2a5da0 | 1,592 | py | Python | cryomem/cmtools/lib/jjivarray2.py | bebaek/cryomem | 088fba2568d10451adda51a068c15c8c2a73d9ce | [
"MIT"
] | 1 | 2018-09-16T12:29:04.000Z | 2018-09-16T12:29:04.000Z | cryomem/cmtools/lib/jjivarray2.py | bebaek/cryomem | 088fba2568d10451adda51a068c15c8c2a73d9ce | [
"MIT"
] | null | null | null | cryomem/cmtools/lib/jjivarray2.py | bebaek/cryomem | 088fba2568d10451adda51a068c15c8c2a73d9ce | [
"MIT"
] | null | null | null | """
Analyze JJ IV curve array (core) v.2
BB, 2016
"""
import numpy as np
from . import jjiv2 as jjiv
import sys
def fit2rsj_arr(iarr, varr, **kwargs):
"""Fit IV array to 2 Ic RSJ model and return arrays of fit params, error.
Keyword arguments:
guess: array of (Ic+, Ic-, Rn, Vo)
io: fixed Io.
upd... | 28.945455 | 78 | 0.478643 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 427 | 0.268216 |
c372b444a020f4105b4dff97edb032deea88f217 | 567 | py | Python | python/0122.py | garywei944/LeetCode | 77453b6e3329f3309ad61fe578cb7b608317ba1b | [
"MIT"
] | null | null | null | python/0122.py | garywei944/LeetCode | 77453b6e3329f3309ad61fe578cb7b608317ba1b | [
"MIT"
] | null | null | null | python/0122.py | garywei944/LeetCode | 77453b6e3329f3309ad61fe578cb7b608317ba1b | [
"MIT"
] | null | null | null | from leetcode_tester import Tester
from typing import Optional, List
class Solution:
def maxProfit(self, prices: List[int]) -> int:
r = 0
for i in range(1, len(prices)):
if prices[i] > prices[i - 1]:
r += prices[i] - prices[i - 1]
return r
if __name__ == '__m... | 19.551724 | 50 | 0.511464 | 226 | 0.398589 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.017637 |
c37355b23d392a1bb9299b5a5621376e2bdb4e8e | 1,406 | py | Python | dataset.py | songrotek/wechat_jump_end_to_end_train | 119e8a172bf31b70da1004c88567c41d3183711a | [
"MIT"
] | 26 | 2018-01-10T12:23:54.000Z | 2018-02-24T06:31:34.000Z | dataset.py | floodsung/wechat_jump_end_to_end_train | 119e8a172bf31b70da1004c88567c41d3183711a | [
"MIT"
] | 3 | 2018-06-20T17:28:31.000Z | 2018-07-03T13:35:36.000Z | dataset.py | songrotek/wechat_jump_end_to_end_train | 119e8a172bf31b70da1004c88567c41d3183711a | [
"MIT"
] | 10 | 2018-01-11T12:42:42.000Z | 2018-03-12T04:51:35.000Z | import torch
import json
import os
from torch.utils.data import DataLoader,Dataset
import torchvision.transforms as transforms
from PIL import Image
import numpy as np
data_folder = "./dataset/images"
press_times = json.load(open("./dataset/dataset.json"))
image_roots = [os.path.join(data_folder,image_file) \
... | 30.565217 | 103 | 0.687767 | 720 | 0.512091 | 0 | 0 | 0 | 0 | 0 | 0 | 92 | 0.065434 |
c373e158e091fc846ebe00cd19f68260787532ea | 921 | py | Python | grafana_backup/create_snapshot.py | Keimille/grafana-backup-tool | ea824c908c0b98ff934cfe3efdf90121b6edd49d | [
"MIT"
] | 515 | 2016-06-16T20:01:30.000Z | 2022-03-29T03:03:24.000Z | grafana_backup/create_snapshot.py | Keimille/grafana-backup-tool | ea824c908c0b98ff934cfe3efdf90121b6edd49d | [
"MIT"
] | 159 | 2016-12-06T03:06:58.000Z | 2022-03-17T16:10:40.000Z | grafana_backup/create_snapshot.py | Keimille/grafana-backup-tool | ea824c908c0b98ff934cfe3efdf90121b6edd49d | [
"MIT"
] | 195 | 2016-07-19T06:00:13.000Z | 2022-03-09T05:58:32.000Z | import json
from grafana_backup.dashboardApi import create_snapshot
def main(args, settings, file_path):
grafana_url = settings.get('GRAFANA_URL')
http_post_headers = settings.get('HTTP_POST_HEADERS')
verify_ssl = settings.get('VERIFY_SSL')
client_cert = settings.get('CLIENT_CERT')
debug = setting... | 35.423077 | 125 | 0.674267 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 219 | 0.237785 |
c37733d1ef97d9bfcb5fc78d09053dd294d1f132 | 1,928 | py | Python | examples/keras_ssd_example.py | jiayunhan/perceptron-benchmark | 39958a15e9f8bfa82938a3f81d4f216457744b22 | [
"Apache-2.0"
] | 38 | 2019-06-10T04:19:42.000Z | 2022-02-15T05:21:23.000Z | examples/keras_ssd_example.py | jiayunhan/perceptron-benchmark | 39958a15e9f8bfa82938a3f81d4f216457744b22 | [
"Apache-2.0"
] | 4 | 2019-07-30T19:00:23.000Z | 2019-09-26T01:35:05.000Z | examples/keras_ssd_example.py | jiayunhan/perceptron-benchmark | 39958a15e9f8bfa82938a3f81d4f216457744b22 | [
"Apache-2.0"
] | 10 | 2019-06-10T05:45:33.000Z | 2021-04-22T08:33:28.000Z | """ Test case for Keras """
from perceptron.zoo.ssd_300.keras_ssd300 import SSD300
from perceptron.models.detection.keras_ssd300 import KerasSSD300Model
from perceptron.utils.image import load_image
from perceptron.benchmarks.brightness import BrightnessMetric
from perceptron.utils.criteria.detection import Targ... | 41.021277 | 145 | 0.669087 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 612 | 0.317427 |
c377c853596a16e597f271a0e7e5269f859cd807 | 224 | py | Python | math/470.ImplementRand10UsingRand7.py | bzd111/leetcode | fd8db9ef52000cd4373f00a8f60d131caa5fe25d | [
"Apache-2.0"
] | null | null | null | math/470.ImplementRand10UsingRand7.py | bzd111/leetcode | fd8db9ef52000cd4373f00a8f60d131caa5fe25d | [
"Apache-2.0"
] | null | null | null | math/470.ImplementRand10UsingRand7.py | bzd111/leetcode | fd8db9ef52000cd4373f00a8f60d131caa5fe25d | [
"Apache-2.0"
] | null | null | null | import sys
def rand7() -> int:
...
class Solution:
def rand10(self) -> int:
index = sys.maxsize
while index > 40:
index = 7 * (rand7() - 1) + rand7() - 1
return index % 10 + 1
| 16 | 51 | 0.482143 | 180 | 0.803571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c37854af006991db33cfa5319fe951302a09dbf2 | 164 | py | Python | segmentation/data/transforms/__init__.py | RajasekharChowdary9/panoptic-deeplab | 7645bc1cf51e3ebc85153666f26f8630a407b52b | [
"Apache-2.0"
] | 506 | 2020-06-12T01:07:56.000Z | 2022-03-26T00:56:52.000Z | segmentation/data/transforms/__init__.py | RajasekharChowdary9/panoptic-deeplab | 7645bc1cf51e3ebc85153666f26f8630a407b52b | [
"Apache-2.0"
] | 85 | 2020-06-12T04:51:31.000Z | 2022-03-23T16:19:44.000Z | segmentation/data/transforms/__init__.py | RajasekharChowdary9/panoptic-deeplab | 7645bc1cf51e3ebc85153666f26f8630a407b52b | [
"Apache-2.0"
] | 102 | 2020-06-12T06:45:44.000Z | 2022-03-22T14:03:04.000Z | from .build import build_transforms
from .pre_augmentation_transforms import Resize
from .target_transforms import PanopticTargetGenerator, SemanticTargetGenerator
| 41 | 79 | 0.896341 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c379116efb10da15e4d433c54d3c5da28ac9b233 | 46,937 | py | Python | plasmapy/diagnostics/proton_radiography.py | MarikinPaulina/PlasmaPy | 9a9e4200981618fdfba4bd9347180b6cbe3040d7 | [
"MIT",
"BSD-2-Clause-Patent",
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | plasmapy/diagnostics/proton_radiography.py | MarikinPaulina/PlasmaPy | 9a9e4200981618fdfba4bd9347180b6cbe3040d7 | [
"MIT",
"BSD-2-Clause-Patent",
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | plasmapy/diagnostics/proton_radiography.py | MarikinPaulina/PlasmaPy | 9a9e4200981618fdfba4bd9347180b6cbe3040d7 | [
"MIT",
"BSD-2-Clause-Patent",
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | """
Routines for the analysis of proton radiographs. These routines can be broadly
classified as either creating synthetic radiographs from prescribed fields or
methods of 'inverting' experimentally created radiographs to reconstruct the
original fields (under some set of assumptions).
"""
__all__ = [
"SyntheticPr... | 38.919569 | 90 | 0.582994 | 44,786 | 0.954173 | 0 | 0 | 7,697 | 0.163986 | 0 | 0 | 26,555 | 0.565758 |
c37a40407f09301be18f33044c4803950764471c | 924 | py | Python | polyengine/switch_start.py | AkanshDivker/polyengine | f81e1ef68d92470b51888db1d0c693b6d8c6b45f | [
"MIT"
] | 5 | 2020-04-11T23:56:13.000Z | 2021-05-22T09:09:36.000Z | polyengine/switch_start.py | AkanshDivker/polyengine | f81e1ef68d92470b51888db1d0c693b6d8c6b45f | [
"MIT"
] | 4 | 2019-10-29T07:17:36.000Z | 2019-11-27T05:36:01.000Z | polyengine/switch_start.py | AkanshDivker/polyengine | f81e1ef68d92470b51888db1d0c693b6d8c6b45f | [
"MIT"
] | 2 | 2020-10-29T14:03:09.000Z | 2021-01-01T07:53:16.000Z | # switch_start.py
# Adding another switch statement
# Authors : Seoyeon Hwang
import string
import random
class Switch_Start:
def __init__(self, str):
self.string = str
def insert_switch(self, str):
#generate random variable
_LENGTH = 11
string_pool = string.asci... | 30.8 | 165 | 0.548701 | 809 | 0.875541 | 0 | 0 | 0 | 0 | 0 | 0 | 228 | 0.246753 |
c37d3cf95d24a23185d3d7d87e99934db95b537d | 5,494 | py | Python | focal_mech/demo/test6.py | blasscoc/FocalMechClassifier | 8d54d5a19cea447c030ada596369e47e7f39d483 | [
"MIT"
] | 12 | 2016-05-31T04:18:13.000Z | 2021-10-09T06:45:43.000Z | focal_mech/demo/test6.py | blasscoc/FocalMechClassifier | 8d54d5a19cea447c030ada596369e47e7f39d483 | [
"MIT"
] | 2 | 2019-08-09T20:30:26.000Z | 2021-02-09T02:14:04.000Z | focal_mech/demo/test6.py | blasscoc/FocalMechClassifier | 8d54d5a19cea447c030ada596369e47e7f39d483 | [
"MIT"
] | 7 | 2016-08-06T03:13:24.000Z | 2021-09-26T14:39:41.000Z | from numpy import array, rad2deg, pi, mgrid, argmin
from matplotlib.pylab import contour
import matplotlib.pyplot as plt
import mplstereonet
from obspy.imaging.beachball import aux_plane
from focal_mech.lib.classify_mechanism import classify, translate_to_sphharm
from focal_mech.io.read_hash import read_demo, read_h... | 26.669903 | 76 | 0.67874 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 302 | 0.054969 |
c37d8d6e64bf2027aa73ad7627b83cab9c6c0c89 | 3,102 | py | Python | gigantumcli/changelog.py | fossabot/gigantum-cli | d8054a8741484592ef1da750dd23affadc99fb5f | [
"MIT"
] | null | null | null | gigantumcli/changelog.py | fossabot/gigantum-cli | d8054a8741484592ef1da750dd23affadc99fb5f | [
"MIT"
] | null | null | null | gigantumcli/changelog.py | fossabot/gigantum-cli | d8054a8741484592ef1da750dd23affadc99fb5f | [
"MIT"
] | null | null | null | # Copyright (c) 2017 FlashX, 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, merge, publish, distrib... | 33.717391 | 94 | 0.627982 | 1,980 | 0.638298 | 0 | 0 | 0 | 0 | 0 | 0 | 1,970 | 0.635074 |
c37ed9ece51e833849523b39409da272c30bdafb | 7,311 | py | Python | main_old/understanding_smoothing_microsoft.py | benjaminleroy/smooth_rf | de166a7e777e8a203656b194d772def9d3c8f06d | [
"MIT"
] | 3 | 2019-04-04T04:57:36.000Z | 2022-01-14T09:42:05.000Z | main_old/understanding_smoothing_microsoft.py | benjaminleroy/smooth_rf | de166a7e777e8a203656b194d772def9d3c8f06d | [
"MIT"
] | 1 | 2019-04-04T04:57:24.000Z | 2019-05-29T18:03:31.000Z | main_old/understanding_smoothing_microsoft.py | benjaminleroy/smooth_rf | de166a7e777e8a203656b194d772def9d3c8f06d | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import sklearn.ensemble
import sklearn.metrics
import sklearn
import progressbar
import sklearn.model_selection
from plotnine import *
import pdb
import sys
sys.path.append("smooth_rf/")
import smooth_base
import smooth_level
# function
def aver... | 34.004651 | 91 | 0.56285 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,881 | 0.257284 |
c37ef55b28f73e2f2453409e73faf8e176864615 | 1,147 | py | Python | AER/Experiments/Metrics.py | LeBenchmark/Interspeech2021 | 2a3b424389631b317b39973291b7252bbf44a73b | [
"MIT"
] | 48 | 2021-03-25T14:00:04.000Z | 2022-03-27T17:00:00.000Z | AER/Experiments/Metrics.py | LeBenchmark/Interspeech2021 | 2a3b424389631b317b39973291b7252bbf44a73b | [
"MIT"
] | 2 | 2021-04-16T13:21:44.000Z | 2021-06-16T15:23:09.000Z | AER/Experiments/Metrics.py | LeBenchmark/Interspeech2021 | 2a3b424389631b317b39973291b7252bbf44a73b | [
"MIT"
] | 2 | 2021-07-05T13:42:23.000Z | 2021-09-01T10:24:00.000Z | import numpy as np
def CCC(y_true, y_pred):
"""
Calculate the CCC for two numpy arrays.
"""
x = y_true
y = y_pred
xMean = x.mean()
yMean = y.mean()
xyCov = (x * y).mean() - (xMean * yMean)
# xyCov = ((x-xMean) * (y-yMean)).mean()
xVar = x.var()
yVar = y.var()
return 2 * ... | 23.408163 | 59 | 0.529207 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 301 | 0.262424 |
c37f533b46624d83873bcd5b9e4314c8ccb4405c | 11,734 | py | Python | myo/device_listener.py | ehliang/myo-unlock | 059e130a90e44df3869dd892e216c020d6d97a7e | [
"MIT"
] | 1 | 2021-06-25T02:27:31.000Z | 2021-06-25T02:27:31.000Z | myo/device_listener.py | ehliang/myo-unlock | 059e130a90e44df3869dd892e216c020d6d97a7e | [
"MIT"
] | null | null | null | myo/device_listener.py | ehliang/myo-unlock | 059e130a90e44df3869dd892e216c020d6d97a7e | [
"MIT"
] | null | null | null | # Copyright (c) 2015 Niklas Rosenstein
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, ... | 32.325069 | 82 | 0.587183 | 10,397 | 0.886058 | 0 | 0 | 1,599 | 0.136271 | 0 | 0 | 3,793 | 0.323249 |
c3806b9e128d8474be2a0c8c16ed645a6cd61414 | 333 | py | Python | utilities/poisson.py | lukepinkel/pylmm | b9e896222f077b000f9a752be77cfc9e60b49f19 | [
"MIT"
] | null | null | null | utilities/poisson.py | lukepinkel/pylmm | b9e896222f077b000f9a752be77cfc9e60b49f19 | [
"MIT"
] | null | null | null | utilities/poisson.py | lukepinkel/pylmm | b9e896222f077b000f9a752be77cfc9e60b49f19 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Aug 12 13:34:49 2020
@author: lukepinkel
"""
import numpy as np
import scipy as sp
import scipy.special
def poisson_logp(x, mu, logp=True):
p = sp.special.xlogy(x, mu) - sp.special.gammaln(x + 1) - mu
if logp==False:
p = np.exp(p)
... | 19.588235 | 65 | 0.618619 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 109 | 0.327327 |
c382207d4a3aa645831dc8af78380466763f0458 | 581 | py | Python | iotest.py | AaltoRSE/ImageNetTools | 1ed8b8c38bd14eb47fc6167bf194f327a2696bf1 | [
"BSD-3-Clause"
] | 1 | 2021-11-15T11:21:55.000Z | 2021-11-15T11:21:55.000Z | iotest.py | AaltoRSE/ImageNetTools | 1ed8b8c38bd14eb47fc6167bf194f327a2696bf1 | [
"BSD-3-Clause"
] | null | null | null | iotest.py | AaltoRSE/ImageNetTools | 1ed8b8c38bd14eb47fc6167bf194f327a2696bf1 | [
"BSD-3-Clause"
] | null | null | null | '''
Created on Sep 29, 2021
@author: thomas
'''
import ImageNetTools
import sys
import getopt
def main(argv):
try:
opts, args = getopt.getopt(argv,"hd:",["dataset="])
except getopt.GetoptError:
printHelp()
sys.exit(2)
for opt, arg in opts:
if opt in... | 22.346154 | 59 | 0.555938 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 159 | 0.273666 |
c3825a98b9b5079c534d11d77f64da2d82f8a541 | 1,775 | py | Python | sagas/tests/sinkers/test_results_render.py | samlet/stack | 47db17fd4fdab264032f224dca31a4bb1d19b754 | [
"Apache-2.0"
] | 3 | 2020-01-11T13:55:38.000Z | 2020-08-25T22:34:15.000Z | sagas/tests/sinkers/test_results_render.py | samlet/stack | 47db17fd4fdab264032f224dca31a4bb1d19b754 | [
"Apache-2.0"
] | null | null | null | sagas/tests/sinkers/test_results_render.py | samlet/stack | 47db17fd4fdab264032f224dca31a4bb1d19b754 | [
"Apache-2.0"
] | 1 | 2021-01-01T05:21:44.000Z | 2021-01-01T05:21:44.000Z | """
$ pytest -s -v test_results_render.py
"""
import logging
import pytest
from sagas.nlu.results_render import ResultsRender
def test_descriptor():
import sagas.nlu.results_render
sagas.nlu.results_render.logger.setLevel(logging.DEBUG)
# $ str 'Rezervasyonumu onaylamak istiyorum.'
results = [{'deli... | 36.979167 | 90 | 0.450704 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 771 | 0.434366 |
c382afee49a8dcf277085e3abd2845bbc944eef7 | 5,838 | py | Python | equatation.py | asteinig4018/mhacks19 | 64b5ba211f38f3b30927bf926073b777fb23a46f | [
"MIT"
] | 1 | 2019-10-12T21:30:15.000Z | 2019-10-12T21:30:15.000Z | equatation.py | asteinig4018/mhacks19 | 64b5ba211f38f3b30927bf926073b777fb23a46f | [
"MIT"
] | null | null | null | equatation.py | asteinig4018/mhacks19 | 64b5ba211f38f3b30927bf926073b777fb23a46f | [
"MIT"
] | null | null | null | import json
import math
from HistoricalTweetDataFetcher import getHistoricalData
joelsarray = getHistoricalData(0)
arrs = []
arrm = []
arrp = []
arrsTotal = 0
arrmTotal = 0
ncount = 0
ccount = 0
lcount = 0
time = joelsarray[0]["h"]
for dictionary in joelsarray:
arrs.append(dictionary["s"])
arrm... | 39.714286 | 198 | 0.604488 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,860 | 0.318602 |
5ed9ef5b5cccf956209757de81563a4bc4e12b59 | 43,492 | py | Python | oscar/apps/offer/models.py | endgame/django-oscar | e5d78436e20b55902537a6cc82edf4e22568f9d6 | [
"BSD-3-Clause"
] | null | null | null | oscar/apps/offer/models.py | endgame/django-oscar | e5d78436e20b55902537a6cc82edf4e22568f9d6 | [
"BSD-3-Clause"
] | null | null | null | oscar/apps/offer/models.py | endgame/django-oscar | e5d78436e20b55902537a6cc82edf4e22568f9d6 | [
"BSD-3-Clause"
] | 1 | 2019-07-10T06:32:14.000Z | 2019-07-10T06:32:14.000Z | from decimal import Decimal as D, ROUND_DOWN, ROUND_UP
import math
import datetime
from django.core import exceptions
from django.template.defaultfilters import slugify
from django.db import models
from django.utils.translation import ungettext, ugettext as _
from django.utils.importlib import import_module
from djang... | 38.150877 | 117 | 0.616849 | 42,237 | 0.971144 | 0 | 0 | 165 | 0.003794 | 0 | 0 | 11,622 | 0.267222 |
5eda690b685cc647a25421c21d7eb3efc87731a9 | 3,288 | py | Python | htk-lite/commandlist/help.py | otherbeast/hackers-tool-kit | 12991889db1f6843dde82e7da4b4cdfb50740da5 | [
"Apache-2.0"
] | 393 | 2019-01-21T05:52:54.000Z | 2022-03-29T06:07:04.000Z | htk-lite/commandlist/help.py | urantialife/hackers-tool-kit | 34dbabf3e94825684fd1a684f522d3dc3565eb2d | [
"Apache-2.0"
] | 19 | 2019-02-22T00:49:28.000Z | 2021-12-30T20:28:59.000Z | htk-lite/commandlist/help.py | urantialife/hackers-tool-kit | 34dbabf3e94825684fd1a684f522d3dc3565eb2d | [
"Apache-2.0"
] | 138 | 2019-03-15T23:22:19.000Z | 2022-03-20T17:19:09.000Z | #!/usr/local/bin/python
# coding: latin-1
#if you use this code give me credit @tuf_unkn0wn
#i do not give you permission to show / edit this script without my credit
#to ask questions or report a problem message me on instagram @tuf_unkn0wn
"""
██░ ██ ▄▄▄ ▄████▄ ██ ▄█▀▓█████ ▓█████▄
▓██░ ██▒▒████▄ ▒██▀... | 46.971429 | 102 | 0.253041 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,412 | 0.919933 |
5edd1d618589e67fdc13ac60dffe9edc5736896c | 2,980 | py | Python | scripts/core/soldier.py | whackashoe/entwinement | 4acff2147b86e08e267fc50c327917a338c7bf36 | [
"Unlicense"
] | 1 | 2020-03-10T10:52:13.000Z | 2020-03-10T10:52:13.000Z | scripts/core/soldier.py | whackashoe/entwinement | 4acff2147b86e08e267fc50c327917a338c7bf36 | [
"Unlicense"
] | null | null | null | scripts/core/soldier.py | whackashoe/entwinement | 4acff2147b86e08e267fc50c327917a338c7bf36 | [
"Unlicense"
] | null | null | null | d_soldiers = []
class Soldier:
def __init__(self, id, name, team):
self.id = id
self.name = name
self.team = team
self.x = 0
self.y = 0
self.xVelo = 0
self.yVelo = 0
self.kills = 0
self.deaths = 0
self.alive = 'true'
self.driving = 'false'
self.gun = 0
self.ammo = 0
self.reloading = 'fa... | 18.742138 | 74 | 0.617785 | 2,133 | 0.715772 | 0 | 0 | 0 | 0 | 0 | 0 | 219 | 0.07349 |
5eddcc0044e85262897bbd20777730764bb0e4ac | 785 | py | Python | dzTraficoBackend/dzTrafico/BusinessLayer/Statistics/DataVisualizationController.py | DZAymen/dz-Trafico | 74ff9caf9e3845d8af977c46b04a2d3421a0661b | [
"MIT"
] | null | null | null | dzTraficoBackend/dzTrafico/BusinessLayer/Statistics/DataVisualizationController.py | DZAymen/dz-Trafico | 74ff9caf9e3845d8af977c46b04a2d3421a0661b | [
"MIT"
] | null | null | null | dzTraficoBackend/dzTrafico/BusinessLayer/Statistics/DataVisualizationController.py | DZAymen/dz-Trafico | 74ff9caf9e3845d8af977c46b04a2d3421a0661b | [
"MIT"
] | null | null | null | from dzTrafico.BusinessEntities.Simulation import Simulation
import lxml.etree as etree
class DataVisualizationController(object):
def __init__(self, simulation):
# Initialize necessary file paths
self.simulation = simulation
def get_emissions_results(self):
pass
def get_travel_t... | 23.787879 | 67 | 0.680255 | 693 | 0.882803 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 0.042038 |
5edde40f3283ddaa109a18bcb421a16c3e99b304 | 7,343 | py | Python | bunkai/algorithm/lbd/custom_tokenizers.py | megagonlabs/bunkai | 28ea1c891f6ee8f96269f41a0642cd6194dd04e9 | [
"Apache-2.0"
] | 149 | 2021-04-21T06:25:21.000Z | 2022-03-29T08:57:49.000Z | bunkai/algorithm/lbd/custom_tokenizers.py | megagonlabs/bunkai | 28ea1c891f6ee8f96269f41a0642cd6194dd04e9 | [
"Apache-2.0"
] | 41 | 2021-05-11T00:46:16.000Z | 2022-03-22T05:17:47.000Z | bunkai/algorithm/lbd/custom_tokenizers.py | megagonlabs/bunkai | 28ea1c891f6ee8f96269f41a0642cd6194dd04e9 | [
"Apache-2.0"
] | 5 | 2021-04-21T10:54:46.000Z | 2022-02-25T17:41:21.000Z | #!/usr/bin/env python3
import collections
import logging
import os
import typing
import unicodedata
from janome.tokenizer import Tokenizer
from transformers.file_utils import cached_path
from transformers.models.bert.tokenization_bert import BertTokenizer, WordpieceTokenizer, load_vocab
import bunkai.constant
"""
T... | 36.715 | 116 | 0.626719 | 6,567 | 0.894321 | 0 | 0 | 0 | 0 | 0 | 0 | 2,678 | 0.364701 |
5edecbbe347219a2740ccd3534f648ace677fd24 | 10,232 | py | Python | tests/exchanges_tests.py | tomwalton78/Crypto-Exchange-API-Aggregator | c5b1756eac46274cdbe5c4e49db62450a35b70a6 | [
"MIT"
] | null | null | null | tests/exchanges_tests.py | tomwalton78/Crypto-Exchange-API-Aggregator | c5b1756eac46274cdbe5c4e49db62450a35b70a6 | [
"MIT"
] | null | null | null | tests/exchanges_tests.py | tomwalton78/Crypto-Exchange-API-Aggregator | c5b1756eac46274cdbe5c4e49db62450a35b70a6 | [
"MIT"
] | 1 | 2019-11-16T07:31:00.000Z | 2019-11-16T07:31:00.000Z | import unittest
from datetime import datetime
import os
import sys
from api.exchanges.exchange import ExchangeAPICallFailedException
from api.exchanges.gdax_exchange import GdaxExchange
from api.exchanges.kraken_exchange import KrakenExchange
from api.exchanges.bitstamp_exchange import BitstampExchange
from api.exchan... | 30.094118 | 79 | 0.583268 | 9,792 | 0.956998 | 0 | 0 | 0 | 0 | 0 | 0 | 2,171 | 0.212177 |
5edf354d82c1df0367e44041106c0bf97648bea1 | 1,342 | py | Python | stats/clustering.py | KNSI-Golem/assets-generation | e366b96e0f2bba16c90816e2690b3b89fd50e514 | [
"MIT"
] | null | null | null | stats/clustering.py | KNSI-Golem/assets-generation | e366b96e0f2bba16c90816e2690b3b89fd50e514 | [
"MIT"
] | 33 | 2019-12-02T18:56:18.000Z | 2022-02-10T01:18:01.000Z | stats/clustering.py | KNSI-Golem/assets-generation | e366b96e0f2bba16c90816e2690b3b89fd50e514 | [
"MIT"
] | 2 | 2020-09-11T13:11:59.000Z | 2021-02-16T17:08:33.000Z | from sklearn.cluster import KMeans
import image_processing
import numpy as np
import some_analysis
from sklearn.manifold import TSNE
import matplotlib.pyplot as plt
from autoencoder import ConvAutoencoder
input_path = './bin'
output_shape = (32, 48)
processing_output = './processed/results_processing'
data = image_pro... | 28.553191 | 83 | 0.69076 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 304 | 0.226528 |
5edf63e904c948abd2995cb1fd09ff2f09a7f87a | 572 | py | Python | CursoEmVideo/Aula22/ex109/ex109.py | lucashsouza/Desafios-Python | abb5b11ebdfd4c232b4f0427ef41fd96013f2802 | [
"MIT"
] | null | null | null | CursoEmVideo/Aula22/ex109/ex109.py | lucashsouza/Desafios-Python | abb5b11ebdfd4c232b4f0427ef41fd96013f2802 | [
"MIT"
] | null | null | null | CursoEmVideo/Aula22/ex109/ex109.py | lucashsouza/Desafios-Python | abb5b11ebdfd4c232b4f0427ef41fd96013f2802 | [
"MIT"
] | null | null | null | """
Modifique as funções que foram criadas no desafio 107 para
que elas aceitem um parametro a mais, informando se o valor
retornado por elas vai ser ou não formatado pela função
moeda(), desenvolvida no desafio 108.
"""
from Aula22.ex109 import moeda
from Aula22.ex109.titulo import titulo
preco = float(input("Preço... | 28.6 | 59 | 0.737762 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 442 | 0.760757 |
5ee0230190b385a1bf8afa9cd7f0b235b7db13a2 | 4,787 | py | Python | mocu/graphical_model/mocu/scripts/visualizetoysystem.py | exalearn/oded | e706c48d60360b041b9f1cfc64fa208d01fbb65a | [
"MIT"
] | null | null | null | mocu/graphical_model/mocu/scripts/visualizetoysystem.py | exalearn/oded | e706c48d60360b041b9f1cfc64fa208d01fbb65a | [
"MIT"
] | null | null | null | mocu/graphical_model/mocu/scripts/visualizetoysystem.py | exalearn/oded | e706c48d60360b041b9f1cfc64fa208d01fbb65a | [
"MIT"
] | null | null | null | from mocu.utils.toysystems import *
import matplotlib.pyplot as plt
import matplotlib.cm as cm
def make_rhs_full_system(a,b,k,c,lam,psi,theta):
def rhs_full_system(y,t):
C = c(a,b,k,y[0],psi,theta)
y1_dot = lam[0] * (y[0] - 1)
y2_dot = lam[1] * (y[1] - C) * (y[1] - a) * (y[1] - b)... | 29.012121 | 113 | 0.524546 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 455 | 0.095049 |
5ee24f1707c0b95700a49b8f88fefee14ccd1a6c | 9,053 | py | Python | sbm/stochastic_block_model.py | pmacg/pysbm | e2f6ceeb4fff903b53a4d3c05694411026a084c3 | [
"MIT"
] | 1 | 2021-09-17T12:37:34.000Z | 2021-09-17T12:37:34.000Z | sbm/stochastic_block_model.py | pmacg/pysbm | e2f6ceeb4fff903b53a4d3c05694411026a084c3 | [
"MIT"
] | null | null | null | sbm/stochastic_block_model.py | pmacg/pysbm | e2f6ceeb4fff903b53a4d3c05694411026a084c3 | [
"MIT"
] | null | null | null | """
Several methods for generating graphs from the stochastic block model.
"""
import itertools
import math
import random
import scipy.sparse
import numpy as np
def _get_num_pos_edges(c1_size, c2_size, same_cluster, self_loops, directed):
"""
Compute the number of possible edges between two clusters.
:pa... | 44.377451 | 120 | 0.68353 | 0 | 0 | 3,000 | 0.331382 | 0 | 0 | 0 | 0 | 5,850 | 0.646195 |
5ee2508b1563859bc37a102d678ee13eb3c4fb40 | 3,496 | py | Python | py_include/__init__.py | mauro-balades/py-include | d2d3b90fc840a550a49d76798bc8a97b076480d8 | [
"MIT"
] | 2 | 2022-01-30T13:23:22.000Z | 2022-01-31T10:23:46.000Z | py_include/__init__.py | mauro-balades/py-include | d2d3b90fc840a550a49d76798bc8a97b076480d8 | [
"MIT"
] | null | null | null | py_include/__init__.py | mauro-balades/py-include | d2d3b90fc840a550a49d76798bc8a97b076480d8 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
"""
| --------------------- Py include <Mauro Baladés> ---------------------
| ___ _ _ _ __ _ _ ___ ____
| | |_) \ \_/ | | | |\ | / /` | | | | | | | \ | |_
| |_| |_| |_| |_| \| \_\_, |_|__ \_\_/ |_|_/ |_|__
| -----------------------------------------... | 33.295238 | 80 | 0.65246 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,952 | 0.843911 |
5ee3400a48d58dbe03ad61379d1f85e22cd4df99 | 7,201 | py | Python | src/scripts/load_data.py | murphycj/agfusionweb-react | 9305aa3caa653fa74608d1ae3dd59c03a3df6294 | [
"MIT"
] | 1 | 2019-12-11T22:22:02.000Z | 2019-12-11T22:22:02.000Z | src/scripts/load_data.py | murphycj/agfusionweb-react | 9305aa3caa653fa74608d1ae3dd59c03a3df6294 | [
"MIT"
] | 15 | 2020-03-25T02:21:18.000Z | 2022-03-27T20:05:01.000Z | src/scripts/load_data.py | murphycj/agfusionweb-react | 9305aa3caa653fa74608d1ae3dd59c03a3df6294 | [
"MIT"
] | null | null | null | import pyensembl
import sys
import sqlite3
import boto3
import pickle
dynamodb = boto3.resource('dynamodb')
table_agfusion_gene_synonyms = dynamodb.Table('agfusion_gene_synonyms')
table_agfusion_genes = dynamodb.Table('agfusion_genes')
table_agfusion_sequences = dynamodb.Table('agfusion_sequences')
def add_synonym(da... | 34.956311 | 150 | 0.550618 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,687 | 0.234273 |
5ee4affc10253568c59d31e6e7ecff29108ae1b0 | 10,118 | py | Python | google-cloud-sdk/lib/third_party/cloud_ml_engine_sdk/dataflow/io/multifiles_source.py | bopopescu/searchparty | afdc2805cb1b77bd5ac9fdd1a76217f4841f0ea6 | [
"Apache-2.0"
] | null | null | null | google-cloud-sdk/lib/third_party/cloud_ml_engine_sdk/dataflow/io/multifiles_source.py | bopopescu/searchparty | afdc2805cb1b77bd5ac9fdd1a76217f4841f0ea6 | [
"Apache-2.0"
] | null | null | null | google-cloud-sdk/lib/third_party/cloud_ml_engine_sdk/dataflow/io/multifiles_source.py | bopopescu/searchparty | afdc2805cb1b77bd5ac9fdd1a76217f4841f0ea6 | [
"Apache-2.0"
] | 3 | 2017-07-27T18:44:13.000Z | 2020-07-25T17:48:53.000Z | # Copyright 2017 Google Inc. All Rights Reserved.
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache Lice... | 37.062271 | 80 | 0.720202 | 8,012 | 0.791856 | 952 | 0.09409 | 0 | 0 | 0 | 0 | 4,392 | 0.434078 |
5ee51c2ffdafe95ae165b98a996207a8a39f4653 | 10,830 | py | Python | eureka/S5_lightcurve_fitting/s5_fit.py | evamariaa/Eureka | a3e739a528fbe85ec588bca996188765649b7778 | [
"MIT"
] | 15 | 2020-08-07T12:12:17.000Z | 2022-03-29T10:20:38.000Z | eureka/S5_lightcurve_fitting/s5_fit.py | evamariaa/Eureka | a3e739a528fbe85ec588bca996188765649b7778 | [
"MIT"
] | 159 | 2020-08-05T14:34:59.000Z | 2022-03-31T21:02:10.000Z | eureka/S5_lightcurve_fitting/s5_fit.py | evamariaa/Eureka | a3e739a528fbe85ec588bca996188765649b7778 | [
"MIT"
] | 17 | 2021-06-16T09:40:41.000Z | 2022-03-22T18:28:07.000Z | import numpy as np
import matplotlib.pyplot as plt
import glob, os, time
from ..lib import manageevent as me
from ..lib import readECF as rd
from ..lib import sort_nicely as sn
from ..lib import util, logedit
from . import parameters as p
from . import lightcurve as lc
from . import models as m
from .utils import get_t... | 44.204082 | 158 | 0.568421 | 105 | 0.009695 | 0 | 0 | 0 | 0 | 0 | 0 | 4,099 | 0.378486 |
5ee68ea9e8a99cf09e7e6d0ca6ce334ef983ef7f | 4,724 | py | Python | model_compression_toolkit/common/graph/graph_matchers.py | eladc-git/model_optimization | 46d1c893ca23e61d8ef7597184ad2ba6e2ae6e7a | [
"Apache-2.0"
] | null | null | null | model_compression_toolkit/common/graph/graph_matchers.py | eladc-git/model_optimization | 46d1c893ca23e61d8ef7597184ad2ba6e2ae6e7a | [
"Apache-2.0"
] | null | null | null | model_compression_toolkit/common/graph/graph_matchers.py | eladc-git/model_optimization | 46d1c893ca23e61d8ef7597184ad2ba6e2ae6e7a | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Sony Semiconductors Israel, Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required b... | 31.704698 | 108 | 0.650296 | 3,816 | 0.80779 | 0 | 0 | 0 | 0 | 0 | 0 | 3,059 | 0.647544 |
5ee6b363eabe25c724e148a500f83b42a84aa031 | 3,022 | py | Python | initialize_app_db.py | daniel-julio-iglesias/microblog | 360198198336f0dda7d20aafeb337f59cb4a2329 | [
"MIT"
] | null | null | null | initialize_app_db.py | daniel-julio-iglesias/microblog | 360198198336f0dda7d20aafeb337f59cb4a2329 | [
"MIT"
] | null | null | null | initialize_app_db.py | daniel-julio-iglesias/microblog | 360198198336f0dda7d20aafeb337f59cb4a2329 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
The next steps use just in case to recreate the already existing DB
Backup and Delete the folder "migrations"
Backup and Delete the file "app.db"
Execute the next console commands
Linux
(venv) $ export FLASK_APP=microblog.py
MS Windows
(venv) $ set FLASK_APP=microblo... | 26.982143 | 67 | 0.648246 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,175 | 0.388815 |
5ee6e99348be1e75186fd4d95f9769f455fc8a1a | 4,328 | py | Python | gpytorch/kernels/rbf_kernel.py | techshot25/gpytorch | b4aee6f81a3428172d4914e7e0fef0e71cd1f519 | [
"MIT"
] | 1 | 2019-11-08T11:25:56.000Z | 2019-11-08T11:25:56.000Z | gpytorch/kernels/rbf_kernel.py | VonRosenchild/gpytorch | 092d523027a844939ba85d7ea8c8c7b7511843d5 | [
"MIT"
] | null | null | null | gpytorch/kernels/rbf_kernel.py | VonRosenchild/gpytorch | 092d523027a844939ba85d7ea8c8c7b7511843d5 | [
"MIT"
] | 1 | 2021-07-02T19:40:07.000Z | 2021-07-02T19:40:07.000Z | #!/usr/bin/env python3
from .kernel import Kernel
from ..functions import RBFCovariance
def postprocess_rbf(dist_mat):
return dist_mat.div_(-2).exp_()
class RBFKernel(Kernel):
r"""
Computes a covariance matrix based on the RBF (squared exponential) kernel
between inputs :math:`\mathbf{x_1}` and :ma... | 47.56044 | 115 | 0.575092 | 4,167 | 0.9628 | 0 | 0 | 0 | 0 | 0 | 0 | 2,946 | 0.680684 |
5ee75d983cd35cd4e28ec87b90865e27b89bfd3b | 5,132 | py | Python | src/dependenpy/finder.py | gitter-badger/dependenpy | db411b7bbd466b79064cbb419049f17cd3bff4c1 | [
"ISC"
] | 10 | 2020-01-08T10:42:32.000Z | 2021-07-08T01:58:08.000Z | src/dependenpy/finder.py | gitter-badger/dependenpy | db411b7bbd466b79064cbb419049f17cd3bff4c1 | [
"ISC"
] | 2 | 2020-10-07T09:48:54.000Z | 2020-11-03T23:37:13.000Z | src/dependenpy/finder.py | gitter-badger/dependenpy | db411b7bbd466b79064cbb419049f17cd3bff4c1 | [
"ISC"
] | 1 | 2019-12-10T18:32:05.000Z | 2019-12-10T18:32:05.000Z | # -*- coding: utf-8 -*-
"""dependenpy finder module."""
from importlib.util import find_spec
from os.path import basename, exists, isdir, isfile, join, splitext
class PackageSpec(object):
"""Holder for a package specification (given as argument to DSM)."""
def __init__(self, name, path, limit_to=None):
... | 28.353591 | 79 | 0.563718 | 4,954 | 0.965316 | 0 | 0 | 675 | 0.131528 | 0 | 0 | 2,386 | 0.464926 |
5ee8d965db0dc6afc3a0712b8a012c62228c1b2d | 1,738 | py | Python | pearsonr/beta.py | rkhullar/pearsonr-pure-python | 955fbca6af0a234cf5132d5f83d36a2c411fec7a | [
"MIT"
] | null | null | null | pearsonr/beta.py | rkhullar/pearsonr-pure-python | 955fbca6af0a234cf5132d5f83d36a2c411fec7a | [
"MIT"
] | null | null | null | pearsonr/beta.py | rkhullar/pearsonr-pure-python | 955fbca6af0a234cf5132d5f83d36a2c411fec7a | [
"MIT"
] | null | null | null | import math
def contfractbeta(a: float, b: float, x: float, itmax: int = 200) -> float:
# https://malishoaib.wordpress.com/2014/04/15/the-beautiful-beta-functions-in-raw-python/
# evaluates the continued fraction form of the incomplete Beta function; incompbeta()
# code translated from: Numerical Recipes ... | 34.76 | 108 | 0.533947 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 563 | 0.323936 |
5eeb434867ca1d9eaca8effbf5839d14aaa33835 | 33,018 | py | Python | hisim/components/generic_pv_system.py | FZJ-IEK3-VSA/HiSim | e9b3a69c6db331523b9ed5ac7aa6f57f9b4798b2 | [
"MIT"
] | 12 | 2021-10-05T11:38:24.000Z | 2022-03-25T09:56:08.000Z | hisim/components/generic_pv_system.py | FZJ-IEK3-VSA/HiSim | e9b3a69c6db331523b9ed5ac7aa6f57f9b4798b2 | [
"MIT"
] | 6 | 2021-10-06T13:27:55.000Z | 2022-03-10T12:55:15.000Z | hisim/components/generic_pv_system.py | FZJ-IEK3-VSA/HiSim | e9b3a69c6db331523b9ed5ac7aa6f57f9b4798b2 | [
"MIT"
] | 4 | 2022-02-21T19:00:50.000Z | 2022-03-22T11:01:38.000Z | # Generic/Built-in
import datetime
import math
import os
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import pvlib
from dataclasses_json import dataclass_json
from typing import Optional
from dataclasses import dataclass
from functools import lru_cache
from hisim.simulationparameters import S... | 45.168263 | 183 | 0.594009 | 23,586 | 0.714294 | 0 | 0 | 7,306 | 0.22126 | 0 | 0 | 11,054 | 0.334767 |
5eeb79ff59fe8c898948a4d629f95025dddf840d | 1,843 | py | Python | gQuant/plugins/hrp_plugin/greenflow_hrp_plugin/__init__.py | t-triobox/gQuant | 6ee3ba104ce4c6f17a5755e7782298902d125563 | [
"Apache-2.0"
] | null | null | null | gQuant/plugins/hrp_plugin/greenflow_hrp_plugin/__init__.py | t-triobox/gQuant | 6ee3ba104ce4c6f17a5755e7782298902d125563 | [
"Apache-2.0"
] | null | null | null | gQuant/plugins/hrp_plugin/greenflow_hrp_plugin/__init__.py | t-triobox/gQuant | 6ee3ba104ce4c6f17a5755e7782298902d125563 | [
"Apache-2.0"
] | null | null | null | """
////////////////////////////////////////////////////////////////////////////
//
// Copyright (C) NVIDIA Corporation. All rights reserved.
//
// NVIDIA Sample Code
//
// Please refer to the NVIDIA end user license agreement (EULA) associated
// with this source code for terms and conditions that govern your... | 42.860465 | 78 | 0.72382 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 905 | 0.491047 |
5eecada079f1111eeed67c73ca6a1720da167194 | 1,541 | py | Python | pythran/tests/rosetta/greatest_subsequential_sum.py | davidbrochart/pythran | 24b6c8650fe99791a4091cbdc2c24686e86aa67c | [
"BSD-3-Clause"
] | 1,647 | 2015-01-13T01:45:38.000Z | 2022-03-28T01:23:41.000Z | pythran/tests/rosetta/greatest_subsequential_sum.py | davidbrochart/pythran | 24b6c8650fe99791a4091cbdc2c24686e86aa67c | [
"BSD-3-Clause"
] | 1,116 | 2015-01-01T09:52:05.000Z | 2022-03-18T21:06:40.000Z | pythran/tests/rosetta/greatest_subsequential_sum.py | davidbrochart/pythran | 24b6c8650fe99791a4091cbdc2c24686e86aa67c | [
"BSD-3-Clause"
] | 180 | 2015-02-12T02:47:28.000Z | 2022-03-14T10:28:18.000Z | #from http://rosettacode.org/wiki/Greatest_subsequential_sum#Python
#pythran export maxsum(int list)
#pythran export maxsumseq(int list)
#pythran export maxsumit(int list)
#runas maxsum([0, 1, 0])
#runas maxsumseq([-1, 2, -1, 3, -1])
#runas maxsumit([-1, 1, 2, -5, -6])
def maxsum(sequence):
"""Return maximum sum."... | 31.44898 | 96 | 0.580792 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 430 | 0.27904 |
5eed202c73e618fc929047ee896a35003f968654 | 28,280 | py | Python | src/binwalk/__init__.py | dotysan/binwalk | d3b5d73538557f2a290996dcea84352fcfb6d1a1 | [
"MIT"
] | 1 | 2020-03-04T15:14:40.000Z | 2020-03-04T15:14:40.000Z | src/binwalk/__init__.py | dotysan/binwalk | d3b5d73538557f2a290996dcea84352fcfb6d1a1 | [
"MIT"
] | null | null | null | src/binwalk/__init__.py | dotysan/binwalk | d3b5d73538557f2a290996dcea84352fcfb6d1a1 | [
"MIT"
] | null | null | null | __all__ = ["Binwalk"]
import os
import re
import time
import magic
from binwalk.compat import *
from binwalk.config import *
from binwalk.update import *
from binwalk.filter import *
from binwalk.parser import *
from binwalk.plugins import *
from binwalk.plotter import *
from binwalk.hexdiff import *
from binwalk.entr... | 37.858099 | 232 | 0.701627 | 27,740 | 0.980905 | 0 | 0 | 0 | 0 | 0 | 0 | 15,582 | 0.55099 |
5eed38c8799a8f20aa9075adc117edac9f20f714 | 149 | py | Python | dodo.py | Ublimjo/nwt | 08b04c376a3792fd4663de2f229617ddabc3d032 | [
"MIT"
] | 1 | 2018-08-24T09:01:09.000Z | 2018-08-24T09:01:09.000Z | dodo.py | Ublimjo/nwt | 08b04c376a3792fd4663de2f229617ddabc3d032 | [
"MIT"
] | null | null | null | dodo.py | Ublimjo/nwt | 08b04c376a3792fd4663de2f229617ddabc3d032 | [
"MIT"
] | null | null | null | def task_clean_junk():
"""Remove junk file"""
return {
'actions': ['rm -rdf $(find . | grep pycache)'],
'clean': True,
}
| 21.285714 | 56 | 0.496644 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 72 | 0.483221 |
5eeebe655d0529cd4e57b3684dd0b12853503ba1 | 442 | py | Python | greedy_algorithms/6_maximum_salary/largest_number.py | Desaiakshata/Algorithms-problems | 90f4e40ba05e4bdfc783614bb70b9156b05eec0b | [
"MIT"
] | null | null | null | greedy_algorithms/6_maximum_salary/largest_number.py | Desaiakshata/Algorithms-problems | 90f4e40ba05e4bdfc783614bb70b9156b05eec0b | [
"MIT"
] | null | null | null | greedy_algorithms/6_maximum_salary/largest_number.py | Desaiakshata/Algorithms-problems | 90f4e40ba05e4bdfc783614bb70b9156b05eec0b | [
"MIT"
] | null | null | null | #Uses python3
import sys
def largest_number(a):
#write your code here
res = ""
while len(a)!=0:
maxa = a[0]
for x in a:
if int(str(x)+str(maxa))>int(str(maxa)+str(x)):
maxa = x
res += str(maxa)
a.remove(str(maxa))
return res
if __name__ == '... | 19.217391 | 59 | 0.506787 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 74 | 0.167421 |
5eefaff8065c5ecea5f5a36834a9168d04d5bd4e | 2,403 | py | Python | screenblankmgr.py | nsw42/pijuui | fee9b96ceaab6b4f5db7ea41cb86da9a1a3b9eac | [
"BSD-2-Clause"
] | 1 | 2021-12-20T15:02:54.000Z | 2021-12-20T15:02:54.000Z | screenblankmgr.py | nsw42/pijuui | fee9b96ceaab6b4f5db7ea41cb86da9a1a3b9eac | [
"BSD-2-Clause"
] | null | null | null | screenblankmgr.py | nsw42/pijuui | fee9b96ceaab6b4f5db7ea41cb86da9a1a3b9eac | [
"BSD-2-Clause"
] | null | null | null | import logging
import subprocess
class PlayingState:
Inactive = 0
Active = 1
class ProfileBase:
def __init__(self):
raise NotImplementedError()
def on_start_playing(self):
raise NotImplementedError()
def on_stop_playing(self):
raise NotImplementedError()
def on_pla... | 22.669811 | 94 | 0.615481 | 2,204 | 0.917187 | 0 | 0 | 0 | 0 | 0 | 0 | 126 | 0.052434 |
5ef0d5fcfc264e4c868fb459e7c8ec1ae720744a | 6,136 | py | Python | warmmail/subscribe/tasks_send.py | sahilsakhuja/warmmail | 8a1f80d26c7a24c9aa054d869266cebd4540d7f2 | [
"MIT"
] | null | null | null | warmmail/subscribe/tasks_send.py | sahilsakhuja/warmmail | 8a1f80d26c7a24c9aa054d869266cebd4540d7f2 | [
"MIT"
] | null | null | null | warmmail/subscribe/tasks_send.py | sahilsakhuja/warmmail | 8a1f80d26c7a24c9aa054d869266cebd4540d7f2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import os
import urllib.parse
from datetime import date, datetime
from functools import partial
from urllib.parse import quote_plus
import pandas as pd
import plotly.express as px
import pytz
from csci_utils.luigi.requires import Requirement, Requires
from csci_utils.luigi.target import Target... | 32.638298 | 116 | 0.64309 | 5,418 | 0.882986 | 0 | 0 | 0 | 0 | 0 | 0 | 1,719 | 0.28015 |
5ef260b5bf84eb695b2bd8138b23ebab7ec1405b | 4,779 | py | Python | cno/chrutils.py | CherokeeLanguage/cherokee-audio-data | a10b7b38c0c1b56338561c917cef18a078ca573c | [
"CC0-1.0",
"MIT"
] | 2 | 2021-09-15T19:41:01.000Z | 2022-01-12T17:57:08.000Z | cno/chrutils.py | CherokeeLanguage/cherokee-audio-data | a10b7b38c0c1b56338561c917cef18a078ca573c | [
"CC0-1.0",
"MIT"
] | 1 | 2021-10-08T18:06:29.000Z | 2021-10-08T18:48:44.000Z | cno/chrutils.py | CherokeeLanguage/cherokee-audio-data | a10b7b38c0c1b56338561c917cef18a078ca573c | [
"CC0-1.0",
"MIT"
] | null | null | null | #!/usr/bin/env python3
def test():
cedTest = ["U²sgal²sdi ạ²dv¹ne²³li⁴sgi.", "Ụ²wo²³dị³ge⁴ɂi gi²hli a¹ke²³he³²ga na ạ²chu⁴ja.",
"Ạ²ni²³tạɂ³li ạ²ni²sgạ²ya a¹ni²no²hạ²li²³do³²he, ạ²hwi du¹ni²hyọ²he.",
"Sa¹gwu⁴hno ạ²sgạ²ya gạ²lo¹gwe³ ga²ne²he sọ³ɂị³hnv³ hla².",
"Na³hnv³ gạ... | 38.232 | 138 | 0.586943 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,476 | 0.475422 |
5ef27b5395234b7acc5798e9c4c4dad901d9aba3 | 2,585 | py | Python | molo/usermetadata/tests/test_tags.py | praekelt/molo.usermetadata | 90cc0dffe55db8ece208d13d37d76956daadfa5a | [
"BSD-2-Clause"
] | null | null | null | molo/usermetadata/tests/test_tags.py | praekelt/molo.usermetadata | 90cc0dffe55db8ece208d13d37d76956daadfa5a | [
"BSD-2-Clause"
] | 14 | 2016-04-21T17:19:08.000Z | 2018-06-18T12:49:58.000Z | molo/usermetadata/tests/test_tags.py | praekeltfoundation/molo.usermetadata | 90cc0dffe55db8ece208d13d37d76956daadfa5a | [
"BSD-2-Clause"
] | null | null | null | import pytest
from django.test import TestCase, Client
from django.core.urlresolvers import reverse
from molo.core.tests.base import MoloTestCaseMixin
from molo.core.models import Main, SiteLanguageRelation, Languages
from molo.usermetadata.models import PersonaIndexPage, PersonaPage
from wagtail.wagtailcore.models i... | 34.013158 | 75 | 0.659574 | 2,158 | 0.834816 | 0 | 0 | 2,181 | 0.843714 | 0 | 0 | 373 | 0.144294 |
5ef2f309d751c48873dcfc34c92ab93f2ef03256 | 1,793 | py | Python | app/db_con.py | bmugenya/Zup | 1677c1e4e263409f9f5fcaac7411dd403e32650e | [
"MIT"
] | null | null | null | app/db_con.py | bmugenya/Zup | 1677c1e4e263409f9f5fcaac7411dd403e32650e | [
"MIT"
] | 1 | 2020-03-06T17:32:15.000Z | 2020-03-06T17:32:15.000Z | app/db_con.py | bmugenya/Zup | 1677c1e4e263409f9f5fcaac7411dd403e32650e | [
"MIT"
] | null | null | null | import psycopg2
url = "dbname='da43n1slakcjkc' user='msqgxzgmcskvst' host='ec2-54-80-184-43.compute-1.amazonaws.com' port=5432 password='9281f925b1e2298e8d62812d9d4e430c1054db62e918c282d7039fa85b1759fa'"
class database_setup(object):
def __init__(self):
self.conn = psycopg2.connect(url)
self.curs... | 34.480769 | 187 | 0.605131 | 1,586 | 0.884551 | 0 | 0 | 0 | 0 | 0 | 0 | 1,389 | 0.774679 |
5ef2f8f0dbedcc720d930427f98c729897cff0e0 | 780 | py | Python | server/dao/messageDao.py | ZibingZhang/Level-Up | e936eef7fc4f17e8bb392f98c7dff37dfad9d47b | [
"MIT"
] | null | null | null | server/dao/messageDao.py | ZibingZhang/Level-Up | e936eef7fc4f17e8bb392f98c7dff37dfad9d47b | [
"MIT"
] | 1 | 2020-01-23T19:22:06.000Z | 2020-01-23T19:23:47.000Z | server/dao/messageDao.py | ZibingZhang/Level-Up | e936eef7fc4f17e8bb392f98c7dff37dfad9d47b | [
"MIT"
] | null | null | null | from constants import cursor
def add_message(player_name, message):
cursor.execute(
"INSERT INTO levelup.messages ("
"SENDER, MESSAGE"
") VALUES ("
"%s, %s"
")", (player_name, message)
)
def reset():
cursor.execute(
"DELETE FROM levelup.messages"
... | 21.081081 | 83 | 0.603846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 261 | 0.334615 |
5ef3a63fa138240896cecf671d1c8882815b58b3 | 3,248 | py | Python | skeletrack/bbox.py | mpeven/skeletal-tracker | ddb6e7d59899c0f3f0470805006e5c5c4bcabe33 | [
"MIT"
] | null | null | null | skeletrack/bbox.py | mpeven/skeletal-tracker | ddb6e7d59899c0f3f0470805006e5c5c4bcabe33 | [
"MIT"
] | null | null | null | skeletrack/bbox.py | mpeven/skeletal-tracker | ddb6e7d59899c0f3f0470805006e5c5c4bcabe33 | [
"MIT"
] | null | null | null | import numpy as np
import shapely.geometry as geom
class Bbox:
def __init__(self, name, part_id, depth_image, xyz, box_size, projection):
if not isinstance(xyz, np.ndarray):
raise ValueError("xyz must be an np.ndarray")
self.name = name
self.id = part_id
self.center = np... | 44.493151 | 120 | 0.594828 | 3,195 | 0.983682 | 0 | 0 | 0 | 0 | 0 | 0 | 273 | 0.084052 |
5ef50480947622fa6c85f38cc28d083417268f20 | 351 | py | Python | apps/snippet/admin.py | AniPython/ani | 2536ac9ddae2b8396b634f982fb1083339b4a389 | [
"MIT"
] | null | null | null | apps/snippet/admin.py | AniPython/ani | 2536ac9ddae2b8396b634f982fb1083339b4a389 | [
"MIT"
] | null | null | null | apps/snippet/admin.py | AniPython/ani | 2536ac9ddae2b8396b634f982fb1083339b4a389 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Tag, Article
@admin.register(Tag)
class TagAdmin(admin.ModelAdmin):
list_display = ('name', 'order')
list_editable = ('order',)
@admin.register(Article)
class ArticleAdmin(admin.ModelAdmin):
list_display = ['title', 'author']
readonly_fields = ['... | 19.5 | 52 | 0.709402 | 230 | 0.655271 | 0 | 0 | 276 | 0.786325 | 0 | 0 | 61 | 0.173789 |
5ef67226c4fddb4ea740eed126e252d451b1063d | 1,326 | py | Python | test/functional/test_framework/script_util.py | TopoX84/newlux | 555b9f7f9e4be4ef879f20083d8cf80ed8f7777e | [
"MIT"
] | 1,389 | 2017-06-28T02:35:01.000Z | 2022-03-25T20:09:01.000Z | test/functional/test_framework/script_util.py | TopoX84/newlux | 555b9f7f9e4be4ef879f20083d8cf80ed8f7777e | [
"MIT"
] | 1,039 | 2015-03-25T23:58:32.000Z | 2022-03-30T00:41:16.000Z | test/functional/test_framework/script_util.py | TopoX84/newlux | 555b9f7f9e4be4ef879f20083d8cf80ed8f7777e | [
"MIT"
] | 564 | 2017-06-28T03:55:03.000Z | 2022-03-30T14:57:40.000Z | #!/usr/bin/env python3
# Copyright (c) 2019 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Useful Script constants and utils."""
from test_framework.script import CScript
# To prevent a "tx-size-sma... | 51 | 84 | 0.737557 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,222 | 0.921569 |
5efb1967191c3b432f3eb4d402361c056b7541a9 | 4,085 | py | Python | linux-distro/package/nuxleus/Source/Vendor/Microsoft/IronPython-2.0.1/Lib/Kamaelia/Protocol/Torrent/TorrentIPC.py | mdavid/nuxleus | 653f1310d8bf08eaa5a7e3326c2349e56a6abdc2 | [
"BSD-3-Clause"
] | 1 | 2017-03-28T06:41:51.000Z | 2017-03-28T06:41:51.000Z | linux-distro/package/nuxleus/Source/Vendor/Microsoft/IronPython-2.0.1/Lib/Kamaelia/Protocol/Torrent/TorrentIPC.py | mdavid/nuxleus | 653f1310d8bf08eaa5a7e3326c2349e56a6abdc2 | [
"BSD-3-Clause"
] | null | null | null | linux-distro/package/nuxleus/Source/Vendor/Microsoft/IronPython-2.0.1/Lib/Kamaelia/Protocol/Torrent/TorrentIPC.py | mdavid/nuxleus | 653f1310d8bf08eaa5a7e3326c2349e56a6abdc2 | [
"BSD-3-Clause"
] | 1 | 2016-12-13T21:08:58.000Z | 2016-12-13T21:08:58.000Z | #!/usr/bin/env python
#
# Copyright (C) 2006 British Broadcasting Corporation and Kamaelia Contributors(1)
# All Rights Reserved.
#
# You may only modify and redistribute this under the terms of any of the
# following licenses(2): Mozilla Public License, V1.1, GNU General
# Public License, V2.0, GNU Lesser General ... | 40.04902 | 124 | 0.682742 | 2,064 | 0.505263 | 0 | 0 | 0 | 0 | 0 | 0 | 3,027 | 0.741004 |
5efb27ff2e3645c70f7c8e38f1cd5d5485dc77ac | 12,418 | py | Python | srcf/database/schema.py | danielchriscarter/srcf-python | a7143afd5340338094131a51f560efcd874457d2 | [
"MIT"
] | null | null | null | srcf/database/schema.py | danielchriscarter/srcf-python | a7143afd5340338094131a51f560efcd874457d2 | [
"MIT"
] | 2 | 2020-08-23T17:23:28.000Z | 2021-04-01T18:32:11.000Z | srcf/database/schema.py | danielchriscarter/srcf-python | a7143afd5340338094131a51f560efcd874457d2 | [
"MIT"
] | 3 | 2021-01-12T00:06:39.000Z | 2021-09-26T23:31:15.000Z | from __future__ import print_function, unicode_literals
from binascii import unhexlify
from enum import Enum
import os
import pwd
import six
from sqlalchemy import Column, Integer, String, Boolean, DateTime, Text, Enum as SQLAEnum, Numeric
from sqlalchemy import event
from sqlalchemy.dialects.postgresql import HSTOR... | 33.836512 | 102 | 0.607988 | 8,622 | 0.694315 | 0 | 0 | 911 | 0.073361 | 0 | 0 | 2,424 | 0.195201 |
5efcf7db618c88e80670f2e44849d8f110aeefaf | 15,226 | py | Python | tests/test_grid.py | ascillitoe/pyvista | b0eb948042f208a03b9feb5784854ebb8507dae8 | [
"MIT"
] | null | null | null | tests/test_grid.py | ascillitoe/pyvista | b0eb948042f208a03b9feb5784854ebb8507dae8 | [
"MIT"
] | null | null | null | tests/test_grid.py | ascillitoe/pyvista | b0eb948042f208a03b9feb5784854ebb8507dae8 | [
"MIT"
] | 1 | 2020-03-23T15:46:56.000Z | 2020-03-23T15:46:56.000Z | import os
import numpy as np
import pytest
import vtk
import pyvista
from pyvista import examples
from pyvista.plotting import system_supports_plotting
beam = pyvista.UnstructuredGrid(examples.hexbeamfile)
# create structured grid
x = np.arange(-10, 10, 2)
y = np.arange(-10, 10, 2)
z = np.arange(-10, 10, 2)
x, y, z... | 32.67382 | 97 | 0.64843 | 0 | 0 | 0 | 0 | 3,243 | 0.212991 | 0 | 0 | 701 | 0.04604 |
5efda15abd13bae316a30c8f74303450a7d645eb | 5,767 | py | Python | Server/src/quadradiusr_server/server.py | kjarosh/QuadradiusR | 2e55188bf9c9cd980ec6d11fce51830d0b4749d7 | [
"MIT"
] | null | null | null | Server/src/quadradiusr_server/server.py | kjarosh/QuadradiusR | 2e55188bf9c9cd980ec6d11fce51830d0b4749d7 | [
"MIT"
] | null | null | null | Server/src/quadradiusr_server/server.py | kjarosh/QuadradiusR | 2e55188bf9c9cd980ec6d11fce51830d0b4749d7 | [
"MIT"
] | null | null | null | import asyncio
import logging
from collections import defaultdict
from typing import Optional, List, Dict
from aiohttp import web
from aiohttp.web_runner import AppRunner, TCPSite
from quadradiusr_server.auth import Auth
from quadradiusr_server.config import ServerConfig
from quadradiusr_server.cron import Cron, Setu... | 32.767045 | 81 | 0.650945 | 4,879 | 0.84602 | 0 | 0 | 267 | 0.046298 | 1,192 | 0.206693 | 473 | 0.082018 |
5eff513cdc7ff514a20abc942fb429679a31b4d7 | 95 | py | Python | 12_find the output/03_In Python/01_GeeksForGeeks/05_Set Five/problem_4.py | Magdyedwar1996/python-level-one-codes | 066086672f43488bc8b32c620b5e2f94cedfe3da | [
"MIT"
] | 1 | 2021-11-16T14:14:38.000Z | 2021-11-16T14:14:38.000Z | 12_find the output/03_In Python/01_GeeksForGeeks/05_Set Five/problem_4.py | Magdyedwar1996/python-level-one-codes | 066086672f43488bc8b32c620b5e2f94cedfe3da | [
"MIT"
] | null | null | null | 12_find the output/03_In Python/01_GeeksForGeeks/05_Set Five/problem_4.py | Magdyedwar1996/python-level-one-codes | 066086672f43488bc8b32c620b5e2f94cedfe3da | [
"MIT"
] | null | null | null | def gfg(x,l = []):
for i in range(x):
l.append(i*i)
print(l)
gfg(2)
gfg(3,[3,2,1])
gfg(3)
| 10.555556 | 19 | 0.526316 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5effb0c993d722db84398b9fa87c2c824fbd66c6 | 2,638 | py | Python | duck/utils/cal_ints.py | galaxycomputationalchemistry/duck | a57337afd523c99ebe4babf74c1868578c6cf1e0 | [
"Apache-2.0"
] | 1 | 2020-06-20T23:27:46.000Z | 2020-06-20T23:27:46.000Z | duck/utils/cal_ints.py | galaxycomputationalchemistry/duck | a57337afd523c99ebe4babf74c1868578c6cf1e0 | [
"Apache-2.0"
] | 4 | 2018-07-17T12:48:59.000Z | 2020-04-01T11:00:42.000Z | duck/utils/cal_ints.py | xchem/duck | b98bb78284e9c92837ac1e69fc2f06306ab1e28c | [
"Apache-2.0"
] | 3 | 2019-06-15T16:04:47.000Z | 2020-04-01T07:54:53.000Z | import json, pickle, sys, os
from parmed.geometry import distance2
from parmed.topologyobjects import Atom
import operator
import parmed
import math
def check_same(atom, chain, res_name, res_number, atom_name):
if atom.residue.name == res_name:
if atom.residue.number == res_number:
if atom.nam... | 33.392405 | 88 | 0.681956 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 320 | 0.121304 |
6f011e9d1e6d5fe45f9c159871d9be7ae9ea35b9 | 1,111 | py | Python | snakes/help_info.py | japinol7/snakes | bb501736027897bacab498ad7bbbe622cf4b9755 | [
"MIT"
] | 12 | 2019-04-15T07:20:31.000Z | 2019-05-18T22:03:35.000Z | snakes/help_info.py | japinol7/snakes | bb501736027897bacab498ad7bbbe622cf4b9755 | [
"MIT"
] | null | null | null | snakes/help_info.py | japinol7/snakes | bb501736027897bacab498ad7bbbe622cf4b9755 | [
"MIT"
] | null | null | null | """Module help_info."""
__author__ = 'Joan A. Pinol (japinol)'
class HelpInfo:
"""Manages information used for help purposes."""
def print_help_keys(self):
print(' F1: \t show a help screen while playing the game'
' t: \t stats on/off\n'
' L_Ctrl + R_Alt + g... | 41.148148 | 73 | 0.417642 | 1,039 | 0.935194 | 0 | 0 | 0 | 0 | 0 | 0 | 744 | 0.669667 |
6f0325adcc4e209cb06df2012d7cf8d2933313bf | 3,983 | py | Python | run_minprop_PD.py | kztakemoto/network_propagation | 7e66aca7f179cfe982b388b20b240745b4927bf9 | [
"MIT"
] | 3 | 2021-04-24T10:58:33.000Z | 2022-03-22T10:02:33.000Z | run_minprop_PD.py | kztakemoto/network_propagation | 7e66aca7f179cfe982b388b20b240745b4927bf9 | [
"MIT"
] | null | null | null | run_minprop_PD.py | kztakemoto/network_propagation | 7e66aca7f179cfe982b388b20b240745b4927bf9 | [
"MIT"
] | 1 | 2019-11-25T06:32:13.000Z | 2019-11-25T06:32:13.000Z | import warnings
warnings.simplefilter('ignore')
import argparse
import pickle
import numpy as np
import pandas as pd
import networkx as nx
import scipy.sparse as sp
from network_propagation_methods import minprop_2
from sklearn.metrics import roc_auc_score, auc
import matplotlib.pyplot as plt
#### Parameters ########... | 38.298077 | 153 | 0.726839 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,112 | 0.279187 |
6f03742065f7d2c3fc2369fb406d4426cdddbeab | 459 | py | Python | Exercicios em Python/ex080.py | Raphael-Azevedo/Exercicios_Python | dece138f38edd02b0731aed78e44acccb021b3cb | [
"MIT"
] | null | null | null | Exercicios em Python/ex080.py | Raphael-Azevedo/Exercicios_Python | dece138f38edd02b0731aed78e44acccb021b3cb | [
"MIT"
] | null | null | null | Exercicios em Python/ex080.py | Raphael-Azevedo/Exercicios_Python | dece138f38edd02b0731aed78e44acccb021b3cb | [
"MIT"
] | null | null | null | n = []
i = 0
for c in range(0, 5):
n1 = int(input('Digite um valor: '))
if c == 0 or n1 > n[-1]:
n.append(n1)
print(f'Adicionado na posição {c} da lista...')
else:
pos = 0
while pos < len(n):
if n1 <= n[pos]:
n.insert(pos, n1)
print... | 25.5 | 65 | 0.461874 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147 | 0.317495 |
6f03aa2ab2aaee70b468bb66183fe442925a1018 | 13,132 | py | Python | rawal_stuff/src/demo.py | rawalkhirodkar/traffic_light_detection | 0e1e99962477bcf271b22d5205b1e7afab8635ba | [
"MIT"
] | null | null | null | rawal_stuff/src/demo.py | rawalkhirodkar/traffic_light_detection | 0e1e99962477bcf271b22d5205b1e7afab8635ba | [
"MIT"
] | null | null | null | rawal_stuff/src/demo.py | rawalkhirodkar/traffic_light_detection | 0e1e99962477bcf271b22d5205b1e7afab8635ba | [
"MIT"
] | null | null | null | import cv2
import numpy as np
import random
import copy
import dlib
from keras.models import Sequential
from keras.optimizers import SGD
from keras.datasets import cifar10
from keras.preprocessing.image import ImageDataGenerator
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation, F... | 43.919732 | 262 | 0.456823 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,307 | 0.251828 |
6f043f48e4529a5b4d4237cf80295c09f14302ee | 3,720 | py | Python | kaivy/geometry/line2d.py | team-kaivy/kaivy | e27b53e8e9eedc48abc99151f3adbb76f0a9b331 | [
"MIT"
] | null | null | null | kaivy/geometry/line2d.py | team-kaivy/kaivy | e27b53e8e9eedc48abc99151f3adbb76f0a9b331 | [
"MIT"
] | null | null | null | kaivy/geometry/line2d.py | team-kaivy/kaivy | e27b53e8e9eedc48abc99151f3adbb76f0a9b331 | [
"MIT"
] | null | null | null | ########################################################################################################################
# #
# This file is part of kAIvy ... | 42.758621 | 136 | 0.491129 | 2,674 | 0.718817 | 0 | 0 | 885 | 0.237903 | 0 | 0 | 1,671 | 0.449194 |
6f050e8b2c15f5d5adcf74276ee71e811d247441 | 5,813 | py | Python | data_loader/MSVD_dataset.py | dendisuhubdy/collaborative-experts | e6db63837537c054723ce00b73264101acc29d39 | [
"MIT"
] | null | null | null | data_loader/MSVD_dataset.py | dendisuhubdy/collaborative-experts | e6db63837537c054723ce00b73264101acc29d39 | [
"MIT"
] | null | null | null | data_loader/MSVD_dataset.py | dendisuhubdy/collaborative-experts | e6db63837537c054723ce00b73264101acc29d39 | [
"MIT"
] | null | null | null | import copy
from pathlib import Path
from typing import Dict, Union, List
from collections import defaultdict
import numpy as np
from typeguard import typechecked
from zsvision.zs_utils import memcache, concat_features
from utils.util import memory_summary
from base.base_dataset import BaseDataset
class MSVD(BaseDa... | 43.059259 | 90 | 0.584724 | 5,509 | 0.947703 | 0 | 0 | 2,068 | 0.355754 | 0 | 0 | 1,541 | 0.265095 |
6f067497faf1ec468f96a34eb789dd94adfffc2e | 2,381 | py | Python | wagtail/wagtailsearch/forms.py | balkantechnologies/BalkanCMS_core | 68625199028fc96abb175e410a4a7a92c02cb261 | [
"BSD-3-Clause"
] | 1 | 2021-09-21T00:06:52.000Z | 2021-09-21T00:06:52.000Z | wagtail/wagtailsearch/forms.py | balkantechnologies/BalkanCMS_core | 68625199028fc96abb175e410a4a7a92c02cb261 | [
"BSD-3-Clause"
] | 1 | 2021-02-24T08:25:30.000Z | 2021-02-24T08:25:30.000Z | wagtail/wagtailsearch/forms.py | balkantechnologies/BalkanCMS_core | 68625199028fc96abb175e410a4a7a92c02cb261 | [
"BSD-3-Clause"
] | 1 | 2020-11-24T10:21:24.000Z | 2020-11-24T10:21:24.000Z | from django import forms
from django.forms.models import inlineformset_factory
from django.utils.translation import ugettext_lazy as _
from wagtail.wagtailadmin.widgets import AdminPageChooser
from wagtail.wagtailsearch import models
class QueryForm(forms.Form):
query_string = forms.CharField(label=_("Search ter... | 36.075758 | 144 | 0.673667 | 1,990 | 0.835783 | 0 | 0 | 0 | 0 | 0 | 0 | 457 | 0.191936 |
6f069669d5a2624249034f4c529c35293422204b | 6,994 | py | Python | app/utils/docs_utils.py | BoostryJP/ibet-Prime | 924e7f8da4f8feea0a572e8b5532e09bcdf2dc99 | [
"Apache-2.0"
] | 2 | 2021-08-19T12:35:25.000Z | 2022-02-16T04:13:38.000Z | app/utils/docs_utils.py | BoostryJP/ibet-Prime | 924e7f8da4f8feea0a572e8b5532e09bcdf2dc99 | [
"Apache-2.0"
] | 46 | 2021-09-02T03:22:05.000Z | 2022-03-31T09:20:00.000Z | app/utils/docs_utils.py | BoostryJP/ibet-Prime | 924e7f8da4f8feea0a572e8b5532e09bcdf2dc99 | [
"Apache-2.0"
] | 1 | 2021-11-17T23:18:27.000Z | 2021-11-17T23:18:27.000Z | """
Copyright BOOSTRY Co., Ltd.
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 distr... | 29.635593 | 120 | 0.601373 | 2,721 | 0.389048 | 0 | 0 | 1,710 | 0.244495 | 0 | 0 | 1,888 | 0.269946 |
6f06e78625c74321a938329732209995e4f8e1f0 | 2,282 | py | Python | scripts/models/arcii.py | mogumogu2333/MatchZoo | 1182b076bf571eba4af89141b93a51598afc252c | [
"Apache-2.0"
] | null | null | null | scripts/models/arcii.py | mogumogu2333/MatchZoo | 1182b076bf571eba4af89141b93a51598afc252c | [
"Apache-2.0"
] | null | null | null | scripts/models/arcii.py | mogumogu2333/MatchZoo | 1182b076bf571eba4af89141b93a51598afc252c | [
"Apache-2.0"
] | null | null | null | import os
import sys
sys.path.insert(0, "../../")
import matchzoo as mz
import typing
import pandas as pd
import matchzoo
from matchzoo.preprocessors.units.tokenize import Tokenize, WordPieceTokenize
from matchzoo.engine.base_preprocessor import load_preprocessor
import pickle
import utils
os.environ["CUDA_VISIBLE_D... | 30.837838 | 103 | 0.765995 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 342 | 0.149869 |