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57d40dbc484ce0db4aa72866ecf2dcba902c500d | 5,999 | py | Python | lexa/train.py | zplizzi/lexa | 880587889d77c7d3906766b765017f2d552d3942 | [
"MIT"
] | 44 | 2021-07-23T17:51:08.000Z | 2022-03-28T14:36:36.000Z | lexa/train.py | ricklentz/lexa | bf112056e0d7f9e044dce053ddc757600cd99d2e | [
"MIT"
] | 2 | 2021-12-15T15:30:45.000Z | 2022-02-25T06:43:14.000Z | lexa/train.py | ricklentz/lexa | bf112056e0d7f9e044dce053ddc757600cd99d2e | [
"MIT"
] | 5 | 2021-11-12T15:26:17.000Z | 2022-03-23T14:43:56.000Z | from dreamer import parse_dreamer_args
if __name__ == '__main__':
args, remaining = parse_dreamer_args()
main(args.logdir, remaining)
| 37.968354 | 117 | 0.689448 | import os
import functools
import tools
import tensorflow as tf
import numpy as np
import pickle
import pathlib
import off_policy
from dreamer import Dreamer, setup_dreamer, create_envs, count_steps, make_dataset, parse_dreamer_args
class GCDreamer(Dreamer):
def __init__(self, config, logger, dataset):
if confi... | 0 | 0 | 0 | 2,697 | 0 | 2,897 | 0 | 18 | 245 |
dd753fb20cd8313d42bfbb3e511710e61007af76 | 1,403 | py | Python | demo.py | longphungtuan94/Vietnamese-Text-to-Speech | 5c33f9fb76f0595894aeeba72de87cf1c910484a | [
"MIT"
] | 10 | 2021-07-23T04:32:29.000Z | 2021-07-23T09:21:30.000Z | demo.py | longphungtuan94/Vietnamese-Text-to-Speech | 5c33f9fb76f0595894aeeba72de87cf1c910484a | [
"MIT"
] | null | null | null | demo.py | longphungtuan94/Vietnamese-Text-to-Speech | 5c33f9fb76f0595894aeeba72de87cf1c910484a | [
"MIT"
] | null | null | null | from notebook_utils import synthesize
import utils.text.cleaners as cleaners
from scipy.io import wavfile
import argparse
SAMPLE_RATE = 22050
parser = argparse.ArgumentParser()
parser.add_argument(
'-t','--text', help='Input text',
default=' l ln ti Lt non mt thng lm nhim v nghin cu chnh sch t ai cho ng bo... | 33.404762 | 148 | 0.776907 | from notebook_utils import synthesize
from utils import hparams as hp
import utils.text.cleaners as cleaners
from scipy.io import wavfile
import numpy as np
import string
import argparse
SAMPLE_RATE = 22050
parser = argparse.ArgumentParser()
parser.add_argument(
'-t','--text', help='Input text',
default='Đó ... | 77 | 0 | 0 | 0 | 0 | 0 | 0 | -1 | 66 |
7c7496a8a6a1bfcefbfa135e9975141cf430e090 | 97,316 | py | Python | Python-Django-2016/Django/Clase1/Otras-cosas/Secretos-Ocultos-en-Shoppy/secretos_ocultos_shoppy.py | juandc/platzi-courses | 27443bdb40a35100b9c839e2d598bc3cf4e43032 | [
"MIT"
] | 3 | 2017-09-14T23:14:21.000Z | 2018-03-22T20:07:37.000Z | Python-Django-2016/Django/Clase1/Otras-cosas/Secretos-Ocultos-en-Shoppy/secretos_ocultos_shoppy.py | juandc/platzi-courses | 27443bdb40a35100b9c839e2d598bc3cf4e43032 | [
"MIT"
] | null | null | null | Python-Django-2016/Django/Clase1/Otras-cosas/Secretos-Ocultos-en-Shoppy/secretos_ocultos_shoppy.py | juandc/platzi-courses | 27443bdb40a35100b9c839e2d598bc3cf4e43032 | [
"MIT"
] | null | null | null | 5351 4c69 7465 2066 6f72 6d61 7420 3300
0400 0101 0040 2020 0000 003b 0000 0000
0000 0000 0000 0000 0000 003b 0000 0001
0000 0000 0000 0000 0000 0001 0000 0000
0000 0000 0000 0000 0000 0000 0000 0000
0000 0000 0000 0000 0000 0000 0000 0000
0000 0000 0500 0000 0603 e200 0000 0026
03fb 03f1 03ec 03f6 03e7 03e2 0000 0000
... | 39.965503 | 39 | 0.799992 | 5351 4c69 7465 2066 6f72 6d61 7420 3300
0400 0101 0040 2020 0000 003b 0000 0000
0000 0000 0000 0000 0000 003b 0000 0001
0000 0000 0000 0000 0000 0001 0000 0000
0000 0000 0000 0000 0000 0000 0000 0000
0000 0000 0000 0000 0000 0000 0000 0000
0000 0000 0500 0000 0603 e200 0000 0026
03fb 03f1 03ec 03f6 03e7 03e2 0000 0000
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
655bfaa0580d1348ce0b1d12d16a88e2e3cd8b82 | 872 | py | Python | cpecat/importer/mongodb.py | dtechspace/ics-asset-management | 6e81f41e1a70f17139a03d1c6ddcbe281082048f | [
"Apache-2.0"
] | 6 | 2019-04-03T16:44:53.000Z | 2021-04-23T00:05:29.000Z | cpecat/importer/mongodb.py | dtechspace/ics-asset-management | 6e81f41e1a70f17139a03d1c6ddcbe281082048f | [
"Apache-2.0"
] | null | null | null | cpecat/importer/mongodb.py | dtechspace/ics-asset-management | 6e81f41e1a70f17139a03d1c6ddcbe281082048f | [
"Apache-2.0"
] | 1 | 2019-08-03T01:13:16.000Z | 2019-08-03T01:13:16.000Z | # Copyright 2018, D-Tech, LLC, All Rights Reserved.
# Disclaimer: This software is provided "AS IS" without warrantees.
# D-Tech, LLC has no oblication to provide any maintainence, update
# or support for this software. Under no circumstances shall D-Tech,
# LLC be liable to any parties for direct, indirect, sp... | 36.333333 | 74 | 0.71445 | # Copyright © 2018, D-Tech, LLC, All Rights Reserved.
# Disclaimer: This software is provided "AS IS" without warrantees.
# D-Tech, LLC has no oblication to provide any maintainence, update
# or support for this software. Under no circumstances shall D-Tech,
# LLC be liable to any parties for direct, indirect, s... | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4eeb67d3fb0e092dadda64c2b4bb57e0787c936e | 264 | py | Python | auto_ripper_daemon/wmi_drives.py | puujam/auto_ripper_gui | bc181d15c7f1ee285b160ac2a71722b313c514f1 | [
"MIT"
] | null | null | null | auto_ripper_daemon/wmi_drives.py | puujam/auto_ripper_gui | bc181d15c7f1ee285b160ac2a71722b313c514f1 | [
"MIT"
] | null | null | null | auto_ripper_daemon/wmi_drives.py | puujam/auto_ripper_gui | bc181d15c7f1ee285b160ac2a71722b313c514f1 | [
"MIT"
] | null | null | null |
_wmi_handle = None | 16.5 | 40 | 0.700758 | import wmi
_wmi_handle = None
def get_wmi_handle():
global _wmi_handle
if not _wmi_handle:
_wmi_handle = wmi.WMI()
return _wmi_handle
def list_all_cd_drives():
wmi_handle = get_wmi_handle()
return wmi_handle.Win32_CDRomDrive() | 0 | 0 | 0 | 0 | 0 | 188 | 0 | -11 | 68 |
ed86567615814ed6b1df203b44fe9a5a11ecc9b9 | 35,212 | py | Python | ludwig/hyperopt/execution.py | louixs/ludwig | 20d8f9c48123d3b71e38615fbc365cf8d392f971 | [
"Apache-2.0"
] | null | null | null | ludwig/hyperopt/execution.py | louixs/ludwig | 20d8f9c48123d3b71e38615fbc365cf8d392f971 | [
"Apache-2.0"
] | null | null | null | ludwig/hyperopt/execution.py | louixs/ludwig | 20d8f9c48123d3b71e38615fbc365cf8d392f971 | [
"Apache-2.0"
] | null | null | null |
try:
import ray
except ImportError:
ray = None
get_horovod_kwargs = None
# TODO: refactor this into an interface
executor_registry = {
"serial": SerialExecutor,
"ray": RayTuneExecutor
}
def _run_experiment_unary(kwargs):
"""Unary function is needed by Fiber to map a list of args.... | 39.387025 | 134 | 0.61445 | import datetime
import os
import uuid
import copy
import json
import shutil
import threading
import time
from abc import ABC, abstractmethod
from pathlib import Path
from typing import Union, Optional, Tuple
from ludwig.api import LudwigModel
from ludwig.backend import RAY, initialize_backend
from ludwig.callbacks imp... | 0 | 1,249 | 0 | 27,711 | 0 | 4,290 | 0 | 578 | 1,024 |
f0bba06cfab2c3f5fcca39974e0df5ac721b92b1 | 3,890 | py | Python | panorama.py | guilhermetiaki/panorama | cb54ab55edc83c5de90c1dc05366b9da9c53f429 | [
"MIT"
] | null | null | null | panorama.py | guilhermetiaki/panorama | cb54ab55edc83c5de90c1dc05366b9da9c53f429 | [
"MIT"
] | null | null | null | panorama.py | guilhermetiaki/panorama | cb54ab55edc83c5de90c1dc05366b9da9c53f429 | [
"MIT"
] | null | null | null | import sys
import cv2
import numpy as np
if __name__=='__main__':
# Create SIFT object
sift = cv2.xfeatures2d.SIFT_create()
# Create Flann Matcher Object
flann = cv2.FlannBasedMatcher(dict(algorithm = 0, trees = 5), dict(checks = 50))
# Gets list of image files from arguments
files = sys.argv... | 46.86747 | 94 | 0.61491 | import sys
import cv2
import numpy as np
if __name__=='__main__':
# Create SIFT object
sift = cv2.xfeatures2d.SIFT_create()
# Create Flann Matcher Object
flann = cv2.FlannBasedMatcher(dict(algorithm = 0, trees = 5), dict(checks = 50))
# Gets list of image files from arguments
files = sys.argv... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
53796539e9f974240a760125bd32430c5dfe371e | 1,916 | py | Python | newton/newton/urls.py | onap/multicloud-openstack | d0e41eb1b1a1cb79365836da728908ed26253db4 | [
"CC-BY-4.0"
] | 4 | 2018-10-24T15:20:14.000Z | 2020-03-09T06:29:11.000Z | newton/newton/urls.py | onap/multicloud-openstack | d0e41eb1b1a1cb79365836da728908ed26253db4 | [
"CC-BY-4.0"
] | null | null | null | newton/newton/urls.py | onap/multicloud-openstack | d0e41eb1b1a1cb79365836da728908ed26253db4 | [
"CC-BY-4.0"
] | 2 | 2020-08-03T13:45:44.000Z | 2021-09-15T21:10:26.000Z | # Copyright (c) 2017-2018 Wind River Systems, Inc.
#
# 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... | 41.652174 | 81 | 0.675887 | # Copyright (c) 2017-2018 Wind River Systems, Inc.
#
# 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... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
914aa18e70796937dd0f34fdcc92a6c1474148d1 | 3,159 | py | Python | tools/deploy_tls_secret.py | ravidbro/assisted-service | 846f2dc89d10b74ed95cb99a6a8888902fb11497 | [
"Apache-2.0"
] | 68 | 2020-08-04T16:30:21.000Z | 2022-03-18T02:44:58.000Z | tools/deploy_tls_secret.py | ravidbro/assisted-service | 846f2dc89d10b74ed95cb99a6a8888902fb11497 | [
"Apache-2.0"
] | 3,554 | 2020-07-12T17:27:13.000Z | 2022-03-31T21:54:04.000Z | tools/deploy_tls_secret.py | ravidbro/assisted-service | 846f2dc89d10b74ed95cb99a6a8888902fb11497 | [
"Apache-2.0"
] | 129 | 2020-07-06T11:43:32.000Z | 2022-03-29T01:29:30.000Z |
if __name__ == "__main__":
main()
| 40.5 | 115 | 0.606838 | import argparse
import os
import textwrap
import deployment_options
import utils
def get_ca(output_dir, force_replace=False):
ca_subject = "/CN=Assisted Installer"
ca_expiration = 365
ca_csr_path = os.path.join(output_dir, "ca.csr")
ca_key_path = os.path.join(output_dir, "ca-key.pem")
if force_... | 0 | 0 | 0 | 0 | 0 | 2,965 | 0 | -29 | 180 |
858136d0e81d8a35cd6f59dfb49158c21227411c | 125 | py | Python | tests/__init__.py | glentner/taskflow | 635114ff4b8521333c6857b410289680fb0d28a1 | [
"Apache-2.0"
] | null | null | null | tests/__init__.py | glentner/taskflow | 635114ff4b8521333c6857b410289680fb0d28a1 | [
"Apache-2.0"
] | null | null | null | tests/__init__.py | glentner/taskflow | 635114ff4b8521333c6857b410289680fb0d28a1 | [
"Apache-2.0"
] | null | null | null | # SPDX-FileCopyrightText: 2022 Geoffrey Lentner
# SPDX-License-Identifier: Apache-2.0
"""Automated tests for HyperShell."""
| 25 | 47 | 0.768 | # SPDX-FileCopyrightText: 2022 Geoffrey Lentner
# SPDX-License-Identifier: Apache-2.0
"""Automated tests for HyperShell."""
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6e0d48f6e4cf7aa9e19a92ed2d50365a9ebfba4e | 2,835 | py | Python | billing/management/commands/create_invoices.py | jayvdb/django-customer-billing | 8d8b3b111a357b4fae0c0c249c1fc2cfdced3b27 | [
"MIT"
] | 13 | 2017-11-18T14:31:27.000Z | 2021-11-04T08:08:33.000Z | billing/management/commands/create_invoices.py | jayvdb/django-customer-billing | 8d8b3b111a357b4fae0c0c249c1fc2cfdced3b27 | [
"MIT"
] | 3 | 2020-09-16T04:03:18.000Z | 2020-10-05T07:17:57.000Z | billing/management/commands/create_invoices.py | jayvdb/django-customer-billing | 8d8b3b111a357b4fae0c0c249c1fc2cfdced3b27 | [
"MIT"
] | 5 | 2019-09-10T22:24:52.000Z | 2021-10-06T10:43:55.000Z | import structlog
logger = structlog.get_logger()
| 35 | 110 | 0.614815 | import logging
from datetime import timedelta, date
import progressbar
import structlog
from collections import defaultdict
from django.core.management.base import BaseCommand
from django.utils import timezone, dateparse
from ...actions.accounts import create_invoices
from ...models import Account
def set_debug(log... | 0 | 0 | 0 | 2,175 | 0 | 253 | 0 | 106 | 247 |
1974437be38fa8eb48c375389aa374a16dd27ff4 | 16,355 | py | Python | code/imagenet.py | modestyachts/ImageNetV2 | a4cda818c419f67cf5c5c12987580bd8ad525876 | [
"MIT"
] | 173 | 2019-02-15T19:29:25.000Z | 2022-03-25T19:01:13.000Z | code/imagenet.py | modestyachts/ImageNetV2 | a4cda818c419f67cf5c5c12987580bd8ad525876 | [
"MIT"
] | 8 | 2019-03-11T01:35:48.000Z | 2021-11-18T09:46:01.000Z | code/imagenet.py | modestyachts/ImageNetV2 | a4cda818c419f67cf5c5c12987580bd8ad525876 | [
"MIT"
] | 21 | 2019-03-06T02:25:29.000Z | 2022-03-16T09:30:29.000Z | from collections import namedtuple
ClassInfo = namedtuple('ClassInfo', ['wnid', 'cid', 'synset', 'wikipedia_pages', 'gloss'])
| 43.49734 | 115 | 0.607887 | from collections import namedtuple
import concurrent
import io
import json
import os
import pathlib
import pickle
import tarfile
import boto3
import imageio
import numpy as np
import utils
ClassInfo = namedtuple('ClassInfo', ['wnid', 'cid', 'synset', 'wikipedia_pages', 'gloss'])
class UnknownDataPartError(Excepti... | 0 | 0 | 0 | 16,022 | 0 | 0 | 0 | -88 | 290 |
7818643cff5c96139c9fe4369630b053cc07f79b | 983 | py | Python | captioning_model.py | nishprabhu/image_captioning | 4bf84c9f37b2d35a071cb28b62ad08081ebe0a29 | [
"MIT"
] | null | null | null | captioning_model.py | nishprabhu/image_captioning | 4bf84c9f37b2d35a071cb28b62ad08081ebe0a29 | [
"MIT"
] | null | null | null | captioning_model.py | nishprabhu/image_captioning | 4bf84c9f37b2d35a071cb28b62ad08081ebe0a29 | [
"MIT"
] | null | null | null | """ Contains the Encoder-Decoder model for image captioning """
import torch.nn as nn
| 30.71875 | 86 | 0.666328 | """ Contains the Encoder-Decoder model for image captioning """
import torch.nn as nn
from cnn import CNN
from rnn import RNN
from transformer import Transformer
class CaptioningModel(nn.Module):
""" Image captioning model """
def __init__(
self, encoder_output_dim, decoder_type, vocab_size, embedd... | 0 | 0 | 0 | 795 | 0 | 0 | 0 | 10 | 89 |
fdb664142db713f5a0b10cb56dda1aca470117c1 | 6,323 | py | Python | parser-spark/dataset_us_filter_and_score_calc.py | whitemike889/HappiTweet | 601d19d68808c1987e531ce4c4f0b12fd2063e6e | [
"Apache-2.0"
] | 1 | 2016-11-09T15:24:40.000Z | 2016-11-09T15:24:40.000Z | parser-spark/dataset_us_filter_and_score_calc.py | whitemike889/HappiTweet | 601d19d68808c1987e531ce4c4f0b12fd2063e6e | [
"Apache-2.0"
] | null | null | null | parser-spark/dataset_us_filter_and_score_calc.py | whitemike889/HappiTweet | 601d19d68808c1987e531ce4c4f0b12fd2063e6e | [
"Apache-2.0"
] | 1 | 2019-02-08T12:45:47.000Z | 2019-02-08T12:45:47.000Z | from pyspark import SparkContext
''' Configuration Parameters '''
tweetsFile = "/tmp/ist169518/out_*/part*"
outFileProcessedDataset = "/tmp/ist169518/filtered-scored"
# Emotional Lexicons
# csv files with first column with the word, and second with the score separated with commas
word_list_info = [
{'key': 'en.he... | 43.013605 | 564 | 0.636565 | from pyspark import SparkContext
import json
import gzip
import marshal
''' Configuration Parameters '''
tweetsFile = "/tmp/ist169518/out_*/part*"
outFileProcessedDataset = "/tmp/ist169518/filtered-scored"
# Emotional Lexicons
# csv files with first column with the word, and second with the score separated with comm... | 0 | 0 | 0 | 0 | 0 | 3,016 | 0 | -27 | 225 |
979ada8c50cccc64907ed8b9f0e0ddeefde7b80e | 13,560 | py | Python | ServerComponent/venv/Lib/site-packages/pythonrv/rv.py | CDU55/FakeNews | 707bd48dd78851081d98ad21bbdadfc2720bd644 | [
"MIT"
] | 2 | 2019-01-06T13:31:10.000Z | 2020-12-11T04:05:44.000Z | pythonrv/rv.py | tgwizard/pythonrv | e50198cc6d48d8c6c6badbe8a1cd46eb0182839a | [
"MIT"
] | 37 | 2020-10-20T08:30:53.000Z | 2020-12-22T13:15:45.000Z | pythonrv/rv.py | tgwizard/pythonrv | e50198cc6d48d8c6c6badbe8a1cd46eb0182839a | [
"MIT"
] | 1 | 2020-10-19T14:55:23.000Z | 2020-10-19T14:55:23.000Z | # -*- coding: utf-8 -*-
import logging
##################################################################
### defaults and constants
##################################################################
PRE = 'pre'
POST = 'post'
DEFAULT_MAX_HISTORY_SIZE = 2
INFINITE_HISTORY_SIZE = -1
NO_HISTORY = 1
DEBUG = logging.DE... | 31.830986 | 118 | 0.60236 | # -*- coding: utf-8 -*-
import logging
from . import instrumentation
from .dotdict import dotdict
##################################################################
### defaults and constants
##################################################################
PRE = 'pre'
POST = 'post'
DEFAULT_MAX_HISTORY_SIZE = 2
I... | 0 | 362 | 0 | 5,778 | 452 | 4,613 | 0 | 15 | 643 |
452e279a6193abc88461babe810211a3f8d434ff | 1,661 | py | Python | main.py | kirantambe/koinex-status-ticker | 487028a00605912e9fee97f4b29f260a2ab4f66f | [
"MIT"
] | null | null | null | main.py | kirantambe/koinex-status-ticker | 487028a00605912e9fee97f4b29f260a2ab4f66f | [
"MIT"
] | 1 | 2021-06-01T21:56:55.000Z | 2021-06-01T21:56:55.000Z | main.py | kirantambe/koinex-status-ticker | 487028a00605912e9fee97f4b29f260a2ab4f66f | [
"MIT"
] | 1 | 2018-01-16T03:51:09.000Z | 2018-01-16T03:51:09.000Z |
API_URL = 'https://koinex.in/api/ticker'
UPDATE_INTERVAL = 60
CURRENCIES = {
'Bitcoin': 'BTC',
'Ethereum': 'ETH',
'Ripple': 'XRP',
'Litecoin': 'LTC',
'Bitcoin Cash': 'BCH',
}
if __name__ == "__main__":
KoinexStatusBarApp().run() | 26.790323 | 77 | 0.587598 | import rumps
import requests
import json
API_URL = 'https://koinex.in/api/ticker'
UPDATE_INTERVAL = 60
CURRENCIES = {
'Bitcoin': 'BTC',
'Ethereum': 'ETH',
'Ripple': 'XRP',
'Litecoin': 'LTC',
'Bitcoin Cash': 'BCH',
}
class KoinexStatusBarApp(rumps.App):
def __init__(self):
super(Koin... | 0 | 463 | 0 | 876 | 0 | 0 | 0 | -25 | 89 |
28ffd69e7ef8dbd17b98a27cd9ae9af36d7611c5 | 345 | py | Python | materials/migrations/0079_remove_property_require_input_files.py | mgovoni-devel/MatD3 | 5b68d147f886bce427f92bb560159e62cec2d4e7 | [
"BSD-2-Clause-FreeBSD"
] | 7 | 2019-09-14T07:24:09.000Z | 2021-06-15T16:15:05.000Z | materials/migrations/0079_remove_property_require_input_files.py | mgovoni-devel/MatD3 | 5b68d147f886bce427f92bb560159e62cec2d4e7 | [
"BSD-2-Clause-FreeBSD"
] | 14 | 2019-12-05T01:49:19.000Z | 2021-06-23T18:34:51.000Z | materials/migrations/0079_remove_property_require_input_files.py | mgovoni-devel/MatD3 | 5b68d147f886bce427f92bb560159e62cec2d4e7 | [
"BSD-2-Clause-FreeBSD"
] | 2 | 2019-11-06T21:16:57.000Z | 2019-11-30T10:51:44.000Z | # Generated by Django 2.1.7 on 2019-05-03 02:36
| 19.166667 | 49 | 0.611594 | # Generated by Django 2.1.7 on 2019-05-03 02:36
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('materials', '0078_auto_20190501_1418'),
]
operations = [
migrations.RemoveField(
model_name='property',
name='require_input_... | 0 | 0 | 0 | 239 | 0 | 0 | 0 | 11 | 46 |
381e48031db6b3bb9ab5198242c5568c48b161ff | 2,668 | py | Python | ag-res.py | Murilodsv/py-jules | 601ca9e6fbad7fe82404f5296babb04583ddda95 | [
"MIT"
] | null | null | null | ag-res.py | Murilodsv/py-jules | 601ca9e6fbad7fe82404f5296babb04583ddda95 | [
"MIT"
] | null | null | null | ag-res.py | Murilodsv/py-jules | 601ca9e6fbad7fe82404f5296babb04583ddda95 | [
"MIT"
] | 1 | 2020-04-13T17:23:54.000Z | 2020-04-13T17:23:54.000Z | # -*- coding: utf-8 -*-
"""
Created on Tue Apr 20 13:32:20 2021
#--- ag csv results to single file based on dashboard_dbs
#--- Murilo Vianna (murilodsv@gmail.com)
#--- Jul, 2021.
#--- Dev-log in: https://github.com/Murilodsv/py-jules
@author: muril
"""
# DEBUG import os; os.chdir('C:/Murilo/py-jules'... | 24.477064 | 97 | 0.508996 | # -*- coding: utf-8 -*-
"""
Created on Tue Apr 20 13:32:20 2021
#--- ag csv results to single file based on dashboard_dbs
#--- Murilo Vianna (murilodsv@gmail.com)
#--- Jul, 2021.
#--- Dev-log in: https://github.com/Murilodsv/py-jules
@author: muril
"""
# DEBUG import os; os.chdir('C:/Murilo/py-jules'... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0c558aec93fa79ac6f2a75def0307f6ce81beb32 | 5,131 | py | Python | whoosh/components/physics.py | Normangorman/whoosh | 8ada8f9f628e05d8bfefcc5043588635893749ee | [
"MIT"
] | null | null | null | whoosh/components/physics.py | Normangorman/whoosh | 8ada8f9f628e05d8bfefcc5043588635893749ee | [
"MIT"
] | 8 | 2017-03-04T20:05:32.000Z | 2017-03-05T11:19:54.000Z | whoosh/components/physics.py | Normangorman/whoosh | 8ada8f9f628e05d8bfefcc5043588635893749ee | [
"MIT"
] | null | null | null | """
With a physics component, you can fly.
Well, not for long.
You'll shortly fall to your death.
"""
| 34.206667 | 124 | 0.613331 | """
With a physics component, you can fly.
Well, not for long.
You'll shortly fall to your death.
"""
import pymunk
import whoosh.maths
from whoosh.components.base import BaseComponent
class PhysicsComponent(BaseComponent):
"""
Useful for recreating Angry Birds.
GameWorld.add_blob will automatically add t... | 0 | 0 | 0 | 4,923 | 0 | 0 | 0 | 17 | 89 |
84d4b18eac7654bdf85e72d7b5a31e2cb42edd6d | 426 | py | Python | sessao02/3_14-Strings-e-aspas/aula14.py | Ruteski/CursoPythonOM | afe5ad5e50f903dab370be2b76966a81f07e51dd | [
"MIT"
] | null | null | null | sessao02/3_14-Strings-e-aspas/aula14.py | Ruteski/CursoPythonOM | afe5ad5e50f903dab370be2b76966a81f07e51dd | [
"MIT"
] | null | null | null | sessao02/3_14-Strings-e-aspas/aula14.py | Ruteski/CursoPythonOM | afe5ad5e50f903dab370be2b76966a81f07e51dd | [
"MIT"
] | null | null | null | """
str - string
"""
print('aspas simples')
print("aspas duplas")
print(123456) # integer, conversao implicita para string
print("essa uma 'string' (str).")
print('essa uma "string" (str).')
print('essa uma \'string\' (str).')
print("essa uma \"string\" (str).") # '\' caracter de escape
print('essa uma \n (str... | 28.4 | 94 | 0.640845 | """
str - string
"""
print('aspas simples')
print("aspas duplas")
print(123456) # integer, conversao implicita para string
print("essa é uma 'string' (str).")
print('essa é uma "string" (str).')
print('essa é uma \'string\' (str).')
print("essa é uma \"string\" (str).") # '\' caracter de escape
print('essa é uma \n... | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
252fe390e7915720b251a28ef29a97c0d83ca6b6 | 3,195 | py | Python | utils/PingMonitor.py | ianfixes/MOOS-python-utils | 1c34f3b8cde4fdcee48a8ee128a3c160eb17d722 | [
"WTFPL"
] | 3 | 2015-07-09T17:51:20.000Z | 2016-04-14T23:06:04.000Z | utils/PingMonitor.py | ifreecarve/MOOS-python-utils | 1c34f3b8cde4fdcee48a8ee128a3c160eb17d722 | [
"WTFPL"
] | null | null | null | utils/PingMonitor.py | ifreecarve/MOOS-python-utils | 1c34f3b8cde4fdcee48a8ee128a3c160eb17d722 | [
"WTFPL"
] | 3 | 2015-03-31T04:18:21.000Z | 2016-10-22T04:55:16.000Z | #!/usr/bin/env python
###########################################################################
#
# Written in 2009 by Ian Katz <ijk5@mit.edu>
# Terms: WTFPL (http://sam.zoy.org/wtfpl/)
# See COPYING and WARRANTY files included in this distribution
#
#####################################... | 26.404959 | 75 | 0.554617 | #!/usr/bin/env python
###########################################################################
#
# Written in 2009 by Ian Katz <ijk5@mit.edu>
# Terms: WTFPL (http://sam.zoy.org/wtfpl/)
# See COPYING and WARRANTY files included in this distribution
#
#####################################... | 0 | 0 | 0 | 848 | 0 | 249 | 0 | 0 | 45 |
2738c23c527ee5c92714e30191c89b5224c64772 | 6,399 | py | Python | notebooks/cluster_diff.py | SLIPO-EU/tutorial | 15f4e0bc8c3ef2b937daa23e7b759ecf44fce5d7 | [
"Apache-2.0"
] | 1 | 2020-11-03T14:59:01.000Z | 2020-11-03T14:59:01.000Z | notebooks/cluster_diff.py | SLIPO-EU/tutorial | 15f4e0bc8c3ef2b937daa23e7b759ecf44fce5d7 | [
"Apache-2.0"
] | null | null | null | notebooks/cluster_diff.py | SLIPO-EU/tutorial | 15f4e0bc8c3ef2b937daa23e7b759ecf44fce5d7 | [
"Apache-2.0"
] | 1 | 2021-07-16T08:33:36.000Z | 2021-07-16T08:33:36.000Z | import numpy as np
from pandas import concat
from geopandas import GeoDataFrame
def map_cluster_diff(clusters_a, clusters_b, intersection_color='#00ff00', diff_ab_color='#0000ff',
diff_ba_color='#ff0000', tiles='OpenStreetMap', width='100%', height='100%'):
"""Returns a Folium Map displaying t... | 39.257669 | 110 | 0.649164 | import numpy as np
import matplotlib
from matplotlib import colors
from matplotlib import cm
import matplotlib.pyplot as plt
import folium
from folium.plugins import HeatMap
from folium.plugins import MarkerCluster
from loci.analytics import bbox, kwds_freq
from wordcloud import WordCloud
from pysal.viz.mapclassify imp... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 102 | 242 |
28ec1648de23d76658c175b1386f4cad995021d8 | 1,245 | py | Python | web_service/routes.py | DigitalSlideArchive-Legacy/openseadragon-annotations | a21ea4ea9217fed54c8033655905c9bfd0f73714 | [
"Apache-2.0"
] | 5 | 2019-06-20T11:33:11.000Z | 2022-02-22T05:18:57.000Z | web_service/routes.py | dgutman/openseadragon-annotations | a21ea4ea9217fed54c8033655905c9bfd0f73714 | [
"Apache-2.0"
] | 6 | 2015-11-13T02:23:26.000Z | 2015-11-13T02:59:39.000Z | web_service/routes.py | dgutman/openseadragon-annotations | a21ea4ea9217fed54c8033655905c9bfd0f73714 | [
"Apache-2.0"
] | 3 | 2019-06-05T06:36:39.000Z | 2020-01-21T18:44:35.000Z | from flask import Blueprint
import pymongo
client = pymongo.MongoClient('localhost',27017)
db = client.TCGA_Slide_DB
dsa = Blueprint('dsa', __name__)
| 26.489362 | 111 | 0.670683 | from flask import Blueprint, request, jsonify
import pymongo
client = pymongo.MongoClient('localhost',27017)
db = client.TCGA_Slide_DB
dsa = Blueprint('dsa', __name__)
@dsa.route('/annotations', methods=['POST','OPTIONS'])
def add_annotation():
ants = db.annotations
layers = db.layers
layer_ids = []
if request.j... | 0 | 1,030 | 0 | 0 | 0 | 0 | 0 | 18 | 46 |
36ff3a574d98dd0cd2cbcc3a1fca29102aabc0ab | 310 | py | Python | pandaproxy/proxyinterface/InterfaceUtils.py | PanDAWMS/panda-proxy | 731bf01d6684f52798a750bf049078c6eb11ed59 | [
"Apache-2.0"
] | null | null | null | pandaproxy/proxyinterface/InterfaceUtils.py | PanDAWMS/panda-proxy | 731bf01d6684f52798a750bf049078c6eb11ed59 | [
"Apache-2.0"
] | null | null | null | pandaproxy/proxyinterface/InterfaceUtils.py | PanDAWMS/panda-proxy | 731bf01d6684f52798a750bf049078c6eb11ed59 | [
"Apache-2.0"
] | null | null | null |
# make response
| 25.833333 | 50 | 0.651613 | import urllib
# make response
def makeResponse(errorCode,errorMsg,msgData=None):
tmpDict = {'StatusCode':errorCode,
'ErrorMsg':errorMsg}
if msgData != None:
for tmpKey,tmpVal in msgData.iteritems():
tmpDict[tmpKey] = tmpVal
return urllib.urlencode(tmpDict)
| 0 | 0 | 0 | 0 | 0 | 252 | 0 | -8 | 44 |
79895f188c2944c177144735db79756865f27abf | 135 | py | Python | examples/test.py | wenhaoLong/vnpyTrader | ff37e288042b9d9f9350a1c528a53c77d56ae849 | [
"MIT"
] | null | null | null | examples/test.py | wenhaoLong/vnpyTrader | ff37e288042b9d9f9350a1c528a53c77d56ae849 | [
"MIT"
] | null | null | null | examples/test.py | wenhaoLong/vnpyTrader | ff37e288042b9d9f9350a1c528a53c77d56ae849 | [
"MIT"
] | 2 | 2021-03-07T18:13:21.000Z | 2021-12-13T10:20:10.000Z | from datetime import datetime
theTime = '2019-12-20 10:22:00'
theTime = datetime.strptime(theTime, '%Y-%m-%d %H:%M:%S')
print(theTime) | 27 | 57 | 0.703704 | from datetime import datetime
theTime = '2019-12-20 10:22:00'
theTime = datetime.strptime(theTime, '%Y-%m-%d %H:%M:%S')
print(theTime) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
aa2f7feda85faef5b61caf8be8c265bbb931ba4a | 2,399 | py | Python | web/signup.py | obuseme/ultra-motivator | c5614c56ffbb772dd56e0754939e7f5ca83a4efb | [
"MIT"
] | 1 | 2019-06-25T10:38:09.000Z | 2019-06-25T10:38:09.000Z | web/signup.py | obuseme/ultra-motivator | c5614c56ffbb772dd56e0754939e7f5ca83a4efb | [
"MIT"
] | null | null | null | web/signup.py | obuseme/ultra-motivator | c5614c56ffbb772dd56e0754939e7f5ca83a4efb | [
"MIT"
] | null | null | null | #!C:\Python27\python.exe -u
#!/usr/bin/env python
import MySQLdb
import hashlib
import cgi
import uuid
print "Content-type: text/html"
print
print """
<html>
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<titl... | 27.895349 | 217 | 0.668195 | #!C:\Python27\python.exe -u
#!/usr/bin/env python
import MySQLdb
import hashlib
import cgi
import uuid
def hash_password(password):
salt = uuid.uuid4().hex
return hashlib.sha256(salt.encode() + password.encode()).hexdigest() + ':' + salt
def show_signup_ui():
print """
<div class="center">
<form metho... | 0 | 0 | 0 | 0 | 0 | 600 | 0 | 0 | 46 |
f0b4b8d709e298308c2f9d1b29640fe2e1adca65 | 53 | py | Python | __init__.py | halibot-extra/reminders | 846015f77e0b19a8e080b92300341b256680ff25 | [
"BSD-3-Clause"
] | null | null | null | __init__.py | halibot-extra/reminders | 846015f77e0b19a8e080b92300341b256680ff25 | [
"BSD-3-Clause"
] | null | null | null | __init__.py | halibot-extra/reminders | 846015f77e0b19a8e080b92300341b256680ff25 | [
"BSD-3-Clause"
] | null | null | null | from .reminders import Reminders
Default = Reminders
| 17.666667 | 32 | 0.830189 | from .reminders import Reminders
Default = Reminders
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5675e059b9df2fa439860e2f1865a5c3d88be675 | 389 | py | Python | src/pbbt/__init__.py | prometheusresearch/pbbt | 35e6e4f49a1055892f487720f1c6ec15144956ff | [
"MIT"
] | 2 | 2021-03-16T15:57:31.000Z | 2021-10-06T23:13:26.000Z | src/pbbt/__init__.py | prometheusresearch/pbbt | 35e6e4f49a1055892f487720f1c6ec15144956ff | [
"MIT"
] | 1 | 2021-02-05T00:20:30.000Z | 2021-02-05T00:20:30.000Z | src/pbbt/__init__.py | prometheusresearch/pbbt | 35e6e4f49a1055892f487720f1c6ec15144956ff | [
"MIT"
] | 3 | 2021-02-15T20:37:02.000Z | 2021-10-06T23:13:28.000Z | #
# Copyright (c) 2013, Prometheus Research, LLC
# Released under MIT license, see `LICENSE` for details.
#
| 24.3125 | 74 | 0.755784 | #
# Copyright (c) 2013, Prometheus Research, LLC
# Released under MIT license, see `LICENSE` for details.
#
from .check import maybe, oneof, choiceof, listof, tupleof, dictof, raises
from .core import Test, Field, Record
from .ctl import Control
from .load import locate, Location
from .run import run, main
from .std ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 123 | 155 |
6f8d0521295c7f3c3553377938008c734099b2e4 | 8,335 | py | Python | monai/networks/blocks/evonorm_primitives.py | vsivan97/MONAI | 33cb186b4664bb032fe9837b305c0a06cdf6d289 | [
"Apache-2.0"
] | null | null | null | monai/networks/blocks/evonorm_primitives.py | vsivan97/MONAI | 33cb186b4664bb032fe9837b305c0a06cdf6d289 | [
"Apache-2.0"
] | null | null | null | monai/networks/blocks/evonorm_primitives.py | vsivan97/MONAI | 33cb186b4664bb032fe9837b305c0a06cdf6d289 | [
"Apache-2.0"
] | null | null | null | import torch.nn as nn
################### Primitive mean
################### Primitive STD
################### Primitive STD Centered
PRIMITIVES = [
PrimitiveAdd,
PrimitiveMul,
PrimitiveDiv,
PrimitiveMax,
PrimitiveNeg,
PrimitiveSigmoid,
PrimitiveTanh,
PrimitiveExp,
PrimitiveLo... | 25.646154 | 93 | 0.612358 | import torch
import torch.nn as nn
class EvonormPrimitive(nn.Module):
"""Abstract base class for the evonorm primitive layers
"""
def __init__(self):
if type(self) is EvonormPrimitive:
raise NotImplementedError
super().__init__()
class PrimitiveAdd(EvonormPrimitive):
""" Pr... | 0 | 0 | 0 | 7,025 | 0 | 0 | 0 | -9 | 597 |
13e9e73cd2166b1dd4288634db847b0f80559bd0 | 638 | py | Python | why_this_song/hello.py | AnikaZN/Why-This-Song | 378c1b3ec646bd9547a1b6078aff0d8288aee729 | [
"MIT"
] | null | null | null | why_this_song/hello.py | AnikaZN/Why-This-Song | 378c1b3ec646bd9547a1b6078aff0d8288aee729 | [
"MIT"
] | null | null | null | why_this_song/hello.py | AnikaZN/Why-This-Song | 378c1b3ec646bd9547a1b6078aff0d8288aee729 | [
"MIT"
] | null | null | null | import spotipy
from spotipy.oauth2 import SpotifyClientCredentials
from dotenv import load_dotenv
load_dotenv()
lz_uri = 'spotify:artist:36QJpDe2go2KgaRleHCDTp'
client_credentials_manager = SpotifyClientCredentials(client_id='CLIENT_ID',
client_secret='CLIENT_SECRET')
spotify =... | 31.9 | 80 | 0.706897 | import spotipy
from spotipy.oauth2 import SpotifyClientCredentials
from dotenv import load_dotenv
load_dotenv()
lz_uri = 'spotify:artist:36QJpDe2go2KgaRleHCDTp'
client_credentials_manager = SpotifyClientCredentials(client_id='CLIENT_ID',
client_secret='CLIENT_SECRET')
spotify =... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6a0f23a0820038366117b6940c55981c78f29074 | 9,204 | gyp | Python | src/win32/base/win32_base.gyp | kbc-developers/Mozc | 97f225ceb1759eedd58f4f09b16411bcb5a62885 | [
"BSD-3-Clause"
] | null | null | null | src/win32/base/win32_base.gyp | kbc-developers/Mozc | 97f225ceb1759eedd58f4f09b16411bcb5a62885 | [
"BSD-3-Clause"
] | null | null | null | src/win32/base/win32_base.gyp | kbc-developers/Mozc | 97f225ceb1759eedd58f4f09b16411bcb5a62885 | [
"BSD-3-Clause"
] | null | null | null | # Copyright 2010-2016, Google Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and ... | 31.412969 | 79 | 0.492938 | # Copyright 2010-2016, Google Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
af6bf12e8e0fddddc4541185f09c24a1979e62a2 | 10,443 | py | Python | gcnf/tests/test_all.py | vojtechcima/gcn | 3f58d830140a3a598241fd0e8987e6b6a201fb17 | [
"MIT"
] | 1 | 2020-01-25T17:28:33.000Z | 2020-01-25T17:28:33.000Z | gcnf/tests/test_all.py | It4innovations/gcnf | 3f58d830140a3a598241fd0e8987e6b6a201fb17 | [
"MIT"
] | 4 | 2020-11-13T18:35:36.000Z | 2022-02-10T00:33:27.000Z | gcnf/tests/test_all.py | vojtechcima/gcn | 3f58d830140a3a598241fd0e8987e6b6a201fb17 | [
"MIT"
] | null | null | null |
import tensorflow as tf
tf.compat.v1.disable_eager_execution()
| 33.471154 | 106 | 0.580868 | from ..graph import Arc, ArcType, Node, NodeType, Graph, GraphType, GraphSet
from ..gcn import GCN
import tensorflow as tf
import numpy as np
tf.compat.v1.disable_eager_execution()
def test():
nt = NodeType(4, name="A")
n1 = Node(nt, [1,2,3])
n2 = Node(nt, [1,2,3])
n3 = Node(nt, [1,2,3])
at = Ar... | 0 | 0 | 0 | 0 | 0 | 10,070 | 0 | 52 | 250 |
7c5287d5f30d1e189bec1a817fbbd548b9794070 | 1,445 | py | Python | twitter-user-search.py | dlukose/python-twitter-examples | 75f92b1615900caff6dfc61efa162e2d316ace61 | [
"MIT"
] | 573 | 2015-01-23T17:45:23.000Z | 2022-03-25T00:53:47.000Z | twitter-user-search.py | dlukose/python-twitter-examples | 75f92b1615900caff6dfc61efa162e2d316ace61 | [
"MIT"
] | 8 | 2015-08-19T01:09:26.000Z | 2019-04-26T14:27:49.000Z | twitter-user-search.py | dlukose/python-twitter-examples | 75f92b1615900caff6dfc61efa162e2d316ace61 | [
"MIT"
] | 351 | 2015-01-29T14:38:56.000Z | 2022-02-16T11:55:45.000Z | #!/usr/bin/env python
#-----------------------------------------------------------------------
# twitter-user-search
# - performs a search for users matching a certain query
#-----------------------------------------------------------------------
#---------------------------------------------------------------------... | 40.138889 | 81 | 0.333564 | #!/usr/bin/env python
#-----------------------------------------------------------------------
# twitter-user-search
# - performs a search for users matching a certain query
#-----------------------------------------------------------------------
from twitter import *
#----------------------------------------------... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 |
676e4cab3ab5b305a470a50adb623276a1d3a2cc | 928 | py | Python | 33birthday.py | qht1028/homework | b62312e6ca56ce94c436bce09349cddba640418a | [
"MIT"
] | null | null | null | 33birthday.py | qht1028/homework | b62312e6ca56ce94c436bce09349cddba640418a | [
"MIT"
] | null | null | null | 33birthday.py | qht1028/homework | b62312e6ca56ce94c436bce09349cddba640418a | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# You are probably well aware of the 'birthday paradox'
# https://en.wikipedia.org/wiki/Birthday_problem
# Let's try simulating it
# You will need a list for the 365 day calendar
# You will need a set number of people (e.g. 25)
# During each 'trial' you do the following
# Choose a person
# Git ... | 23.2 | 78 | 0.665948 | #!/usr/bin/env python3
# You are probably well aware of the 'birthday paradox'
# https://en.wikipedia.org/wiki/Birthday_problem
# Let's try simulating it
# You will need a list for the 365 day calendar
# You will need a set number of people (e.g. 25)
# During each 'trial' you do the following
# Choose a person
# Git ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
53e0f031cdd5149c25021ee8bc58246a6902eccd | 9,179 | py | Python | bot/modules/help/cog.py | runs-15/BotGabutReborn | 1773b526dc4d26936051a3eba7baa8bcb50c8999 | [
"MIT"
] | null | null | null | bot/modules/help/cog.py | runs-15/BotGabutReborn | 1773b526dc4d26936051a3eba7baa8bcb50c8999 | [
"MIT"
] | null | null | null | bot/modules/help/cog.py | runs-15/BotGabutReborn | 1773b526dc4d26936051a3eba7baa8bcb50c8999 | [
"MIT"
] | null | null | null | # from discord_components import Button, ButtonStyle, InteractionType
# import asyncio | 51.858757 | 301 | 0.556706 | from inspect import formatargvalues
import discord, datetime, db, time, os
import pandas as pd
from discord import Embed
from discord.ext.commands import Cog, command
from apscheduler.schedulers.asyncio import AsyncIOScheduler
from apscheduler.triggers.cron import CronTrigger
# from discord_components import Button, Bu... | 3 | 4,499 | 3,010 | 816 | 0 | 343 | 0 | 145 | 279 |
182cecda9848e31de612a655300a6bab9574d2cf | 144 | py | Python | textpp_ptbr/__init__.py | fernandosola/textpp-ptbr | ff74dc3cbc4ec26aebd9ecb2b98cb6e37aadea58 | [
"MIT"
] | 2 | 2020-11-23T00:22:41.000Z | 2021-12-02T15:33:57.000Z | textpp_ptbr/__init__.py | fernandosola/textpp-ptbr | ff74dc3cbc4ec26aebd9ecb2b98cb6e37aadea58 | [
"MIT"
] | null | null | null | textpp_ptbr/__init__.py | fernandosola/textpp-ptbr | ff74dc3cbc4ec26aebd9ecb2b98cb6e37aadea58 | [
"MIT"
] | 2 | 2020-07-24T17:59:02.000Z | 2021-11-22T19:50:52.000Z | import logging
from ._version import __version__
__all__ = [
"__version__",
]
logger = logging.getLogger(__name__)
logging.basicConfig()
| 13.090909 | 36 | 0.75 | import logging
from ._version import __version__
__all__ = [
"__version__",
]
logger = logging.getLogger(__name__)
logging.basicConfig()
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b031d8859a161a6483042dd0f6a128547266436d | 3,138 | py | Python | lj/kodo/qiniu_big_fetch.py | shliujing/qn-python-sdk | 6a659b4197b7847b604b42cb223850977bcc86dc | [
"MIT"
] | null | null | null | lj/kodo/qiniu_big_fetch.py | shliujing/qn-python-sdk | 6a659b4197b7847b604b42cb223850977bcc86dc | [
"MIT"
] | null | null | null | lj/kodo/qiniu_big_fetch.py | shliujing/qn-python-sdk | 6a659b4197b7847b604b42cb223850977bcc86dc | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# -*- coding: utf-8 -*-
# 45URL
# 0.3s, 10~15 URL PSURL
# python qiniu_big_fetch.py <ak> <sk> <bucket> <zone(z0 z1)> <file_path> <sleep_time>
import urlparse, hmac, hashlib, base64, commands, sys, time
def Qiniu_token(access_key, secret_key,
method,
host,
url,
content_type=No... | 30.466019 | 164 | 0.657425 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
# 该脚本平均每小时提交 4万5千多条URL
# 推荐 0.3s,方便及时停止抓取， 一天提交10万~15万 URL PS：因为URL一旦提交到队列中，就不可修改
# python qiniu_big_fetch.py <ak> <sk> <bucket> <zone(z0 z1)> <file_path> <sleep_time>
import urlparse, hmac, hashlib, base64, commands, sys, time
def __token(data, secret_key):
data =... | 306 | 0 | 0 | 0 | 0 | 366 | 0 | 0 | 46 |
98aac9f08dcd786f3965c48675c876d21625fec8 | 827 | py | Python | ex041.py | Jordemar-D-Bousquet/Exercicios_Python | 705d4c83720db033841f01aa843e4dbab08f1423 | [
"MIT"
] | null | null | null | ex041.py | Jordemar-D-Bousquet/Exercicios_Python | 705d4c83720db033841f01aa843e4dbab08f1423 | [
"MIT"
] | null | null | null | ex041.py | Jordemar-D-Bousquet/Exercicios_Python | 705d4c83720db033841f01aa843e4dbab08f1423 | [
"MIT"
] | null | null | null | # Exerccio Python 041: A Confederao Nacional de Natao precisa de um programa que leia o ano de nascimento de um atleta e mostre sua categoria, de acordo com a idade:
# - At 9 anos: MIRIM
# - At 14 anos: INFANTIL
# - At 19 anos: JNIOR
# - At 25 anos: SNIOR
# - Acima de 25 anos: MASTER
from datetime import date
n = int(... | 35.956522 | 170 | 0.666264 | # Exercício Python 041: A Confederação Nacional de Natação precisa de um programa que leia o ano de nascimento de um atleta e mostre sua categoria, de acordo com a idade:
# - Até 9 anos: MIRIM
# - Até 14 anos: INFANTIL
# - Até 19 anos: JÚNIOR
# - Até 25 anos: SÊNIOR
# - Acima de 25 anos: MASTER
from datetime import da... | 46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e42808877787064d5b283b378f39bbc5e12378a9 | 15,161 | py | Python | core/builder.py | JeremieMelo/ADEPT | f79f518197798735cb684b373e11cdcc8a80d872 | [
"MIT"
] | 5 | 2022-02-26T09:14:47.000Z | 2022-03-20T22:57:06.000Z | core/builder.py | JeremieMelo/ADEPT | f79f518197798735cb684b373e11cdcc8a80d872 | [
"MIT"
] | null | null | null | core/builder.py | JeremieMelo/ADEPT | f79f518197798735cb684b373e11cdcc8a80d872 | [
"MIT"
] | null | null | null | """
Description:
Author: Jiaqi Gu (jqgu@utexas.edu)
Date: 2021-03-31 17:48:41
LastEditors: Jiaqi Gu (jqgu@utexas.edu)
LastEditTime: 2021-09-26 00:51:50
"""
import torch.nn as nn
__all__ = [
"make_dataloader",
"make_model",
"make_weight_optimizer",
"make_arch_optimizer",
"make_optimizer",
"make_... | 38.092965 | 107 | 0.625816 | """
Description:
Author: Jiaqi Gu (jqgu@utexas.edu)
Date: 2021-03-31 17:48:41
LastEditors: Jiaqi Gu (jqgu@utexas.edu)
LastEditTime: 2021-09-26 00:51:50
"""
from typing import Tuple
import torch
import torch.nn as nn
from pyutils.config import configs
from pyutils.datasets import get_dataset
from pyutils.loss import A... | 0 | 0 | 0 | 0 | 0 | 14,044 | 0 | 304 | 450 |
db43bd7f34ca9a0dab0726a6ecdfc1b618b92bcc | 3,889 | py | Python | mdx/mdx_inline_graphviz.py | Macuyiko/markdown-slide-editor | 2a4c87a2d0f1436c0d954c15cf732529fa710278 | [
"MIT"
] | 1 | 2021-02-05T11:34:03.000Z | 2021-02-05T11:34:03.000Z | mdx/mdx_inline_graphviz.py | Macuyiko/markdown-slide-editor | 2a4c87a2d0f1436c0d954c15cf732529fa710278 | [
"MIT"
] | 1 | 2021-01-27T07:28:37.000Z | 2021-01-27T07:28:37.000Z | mdx/mdx_inline_graphviz.py | Macuyiko/markdown-slide-editor | 2a4c87a2d0f1436c0d954c15cf732529fa710278 | [
"MIT"
] | null | null | null | """
Graphviz extensions for Markdown.
Renders the output inline, eliminating the need to configure an output
directory.
Supports outputs types of SVG and PNG. The output will be taken from the
filename specified in the tag. Example:
{% dot attack_plan.svg
digraph G {
rankdir=LR
Earth [peripheries=... | 33.817391 | 89 | 0.492157 | """
Graphviz extensions for Markdown.
Renders the output inline, eliminating the need to configure an output
directory.
Supports outputs types of SVG and PNG. The output will be taken from the
filename specified in the tag. Example:
{% dot attack_plan.svg
digraph G {
rankdir=LR
Earth [peripheries=... | 0 | 0 | 0 | 2,892 | 0 | 66 | 0 | -18 | 135 |
ab3f775cb7374eac2051620fdd7cdbce1cc66db1 | 2,739 | py | Python | benchmarks/hybrid/CloudPred/run_rt.py | icsme2020/WS-DREAM | 80a97f0a5cc272596d96fa86f4b5a42ae76e437c | [
"MIT"
] | 6 | 2020-11-17T06:13:48.000Z | 2021-09-18T02:35:23.000Z | benchmarks/hybrid/CloudPred/run_rt.py | icsme2020/WS-DREAM | 80a97f0a5cc272596d96fa86f4b5a42ae76e437c | [
"MIT"
] | 1 | 2021-06-15T12:40:03.000Z | 2021-08-03T08:56:02.000Z | benchmarks/hybrid/CloudPred/run_rt.py | icsme2020/WS-DREAM | 80a97f0a5cc272596d96fa86f4b5a42ae76e437c | [
"MIT"
] | 4 | 2021-04-13T12:15:54.000Z | 2022-02-09T13:07:15.000Z | ########################################################
# run_rt.py
# Author: Jamie Zhu <jimzhu@GitHub>
# Created: 2014/2/6
# Last updated: 2014/5/8
# Implemented approach: CloudPred
# Evaluation metrics: MAE, NMAE, RMSE, MRE, NPRE
########################################################
import numpy as np
... | 37.013514 | 95 | 0.592187 | ########################################################
# run_rt.py
# Author: Jamie Zhu <jimzhu@GitHub>
# Created: 2014/2/6
# Last updated: 2014/5/8
# Implemented approach: CloudPred
# Evaluation metrics: MAE, NMAE, RMSE, MRE, NPRE
########################################################
import numpy as np
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 23 |
fc8dbab2b7fb198b91aac32c54d87a4df0c062ed | 8,492 | py | Python | model/Spacial_plan1/blocks.py | Ji-Xinyou/DIP-proj-DepthEstimation | 5432c14ce1d0cdc9b8b6ab0a273678ffbe6086bd | [
"MIT"
] | null | null | null | model/Spacial_plan1/blocks.py | Ji-Xinyou/DIP-proj-DepthEstimation | 5432c14ce1d0cdc9b8b6ab0a273678ffbe6086bd | [
"MIT"
] | null | null | null | model/Spacial_plan1/blocks.py | Ji-Xinyou/DIP-proj-DepthEstimation | 5432c14ce1d0cdc9b8b6ab0a273678ffbe6086bd | [
"MIT"
] | null | null | null | import torch.nn as nn
import torch.nn.functional as functional
| 34.803279 | 80 | 0.567122 | import torch
import torch.nn as nn
import torch.nn.functional as functional
class Encoder_resnet50(nn.Module):
def __init__(self, base):
super(Encoder_resnet50, self).__init__()
# encoder is a pretrained resnet, inherit the architecture
self.conv1 = base.conv1
self.bn1 = base.b... | 0 | 0 | 0 | 8,285 | 0 | 0 | 0 | -9 | 145 |
083cb4ce86096b6fab23bf3454e86f0003ae1c15 | 1,040 | py | Python | ove/algorithm/dain/networks/S2D_models.py | iBobbyTS/OpenVideoEnhance | 64d12d7a4c344798e5d60eafd20f8f554f852e84 | [
"MIT"
] | 3 | 2020-12-20T14:15:19.000Z | 2021-03-23T12:23:38.000Z | ove/algorithm/dain/networks/S2D_models.py | iBobbyTS/OpenVideoEnhance | 64d12d7a4c344798e5d60eafd20f8f554f852e84 | [
"MIT"
] | 1 | 2022-01-17T06:39:20.000Z | 2022-01-18T08:12:38.000Z | ove/algorithm/dain/networks/S2D_models.py | iBobbyTS/OpenVideoEnhance | 64d12d7a4c344798e5d60eafd20f8f554f852e84 | [
"MIT"
] | 1 | 2021-03-03T22:53:05.000Z | 2021-03-03T22:53:05.000Z | import torch.nn as nn
| 29.714286 | 87 | 0.548077 | import math
import torch
import torch.nn as nn
from .GeneralModels import BasicBlock
class S2DF(nn.Module):
def __init__(self):
super().__init__()
self.block1 = nn.Sequential(
nn.Conv2d(3, 64, kernel_size=(7, 7), stride=(1, 1), padding=3, bias=False),
nn.ReLU(inplace=True)
... | 0 | 0 | 0 | 931 | 0 | 0 | 0 | -3 | 89 |
48c5c5617976f7b80305873a131e1154cb4d429a | 264 | py | Python | CodeFights/centuryFromYear.py | JLJTECH/TutorialTesting | f2dbbd49a86b3b086d0fc156ac3369fb74727f86 | [
"MIT"
] | null | null | null | CodeFights/centuryFromYear.py | JLJTECH/TutorialTesting | f2dbbd49a86b3b086d0fc156ac3369fb74727f86 | [
"MIT"
] | null | null | null | CodeFights/centuryFromYear.py | JLJTECH/TutorialTesting | f2dbbd49a86b3b086d0fc156ac3369fb74727f86 | [
"MIT"
] | null | null | null | #CodeFights
#Given a year, return the century it is in. The first century spans from the year 1 up to and including the year 100, the second - from the year 101 up to and including the year 200, etc. | 52.8 | 187 | 0.727273 | #CodeFights
#Given a year, return the century it is in. The first century spans from the year 1 up to and including the year 100, the second - from the year 101 up to and including the year 200, etc.
def centuryFromYear(year):
return int((year - 1) / 100 + 1) | 0 | 0 | 0 | 0 | 0 | 42 | 0 | 0 | 23 |
b44738b9b529cbb2a559bc5bb34b69d4df22862a | 138 | py | Python | mmdet/version.py | dmy1997/DHRNet | a1adeade8075758f940f5c9edda4393d3f67426c | [
"Apache-2.0"
] | null | null | null | mmdet/version.py | dmy1997/DHRNet | a1adeade8075758f940f5c9edda4393d3f67426c | [
"Apache-2.0"
] | 1 | 2021-03-26T07:19:51.000Z | 2021-05-21T05:36:12.000Z | mmdet/version.py | dmy1997/DHRNet | a1adeade8075758f940f5c9edda4393d3f67426c | [
"Apache-2.0"
] | null | null | null | # GENERATED VERSION FILE
# TIME: Thu May 6 12:37:04 2021
__version__ = '1.2.0+unknown'
short_version = '1.2.0'
version_info = (1, 2, 0)
| 19.714286 | 32 | 0.673913 | # GENERATED VERSION FILE
# TIME: Thu May 6 12:37:04 2021
__version__ = '1.2.0+unknown'
short_version = '1.2.0'
version_info = (1, 2, 0)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
bc739c336cba3a55680b1b743c4ba434c0f1e5dd | 3,818 | py | Python | franka_panda/pybullet_simulation/rope.py | carmelrabinov/contrastive-domain-randomization | f6fc6173a072da821d1b2ab6bd9558bf7e609bd4 | [
"MIT"
] | 5 | 2021-06-08T14:57:35.000Z | 2021-07-30T17:12:00.000Z | franka_panda/pybullet_simulation/rope.py | carmelrabinov/contrastive-domain-randomization | f6fc6173a072da821d1b2ab6bd9558bf7e609bd4 | [
"MIT"
] | null | null | null | franka_panda/pybullet_simulation/rope.py | carmelrabinov/contrastive-domain-randomization | f6fc6173a072da821d1b2ab6bd9558bf7e609bd4 | [
"MIT"
] | 5 | 2021-06-08T14:57:41.000Z | 2022-03-03T10:52:11.000Z | import pybullet_data
import pybullet as p
if __name__ == '__main__':
p.connect(p.GUI)
p.setAdditionalSearchPath(pybullet_data.getDataPath())
plane = p.createCollisionShape(p.GEOM_PLANE)
p.changeDynamics(plane, -1, lateralFriction=1)
p.createMultiBody(0, plane)
p.setGravity(0, 0, -10)
p.s... | 40.617021 | 163 | 0.592981 | import pybullet_data
import pybullet as p
import numpy as np
class TextureRope:
@classmethod
def load(cls, basePosition: np.ndarray = [0, 0, 1], baseOrientation: np.ndarray = [0, 0, 0, 1],
length: int = 80, thickness: float = 0.015, physicsClientId: int = 0) -> int:
sphereRadius = thick... | 0 | 3,287 | 0 | -3 | 0 | 0 | 0 | -3 | 99 |
6ed8da6da189ba8a484a059fc6aed4672f0c2f0d | 662 | py | Python | assets_new_new/data/2021-03-05/json_for_classification/get_classification_file_with_padim_segment.py | ggzhang0071/PaDiM-Anomaly-Detection-Localization-master | 823404d45be078348328c7c6cd16e8ac11a51587 | [
"Apache-2.0"
] | null | null | null | assets_new_new/data/2021-03-05/json_for_classification/get_classification_file_with_padim_segment.py | ggzhang0071/PaDiM-Anomaly-Detection-Localization-master | 823404d45be078348328c7c6cd16e8ac11a51587 | [
"Apache-2.0"
] | null | null | null | assets_new_new/data/2021-03-05/json_for_classification/get_classification_file_with_padim_segment.py | ggzhang0071/PaDiM-Anomaly-Detection-Localization-master | 823404d45be078348328c7c6cd16e8ac11a51587 | [
"Apache-2.0"
] | null | null | null | from get_classification_file_with_original_annotation import get_image_label_dict_from_original_annotation, get_classification_file_based_on_label
original_annotation_path="/git/PaDiM-master/assets_new_new/data/2021-03-05/json_for_classification"
image_data_root="/git/PaDiM-master/kangqiang_result/segment_image_result... | 66.2 | 147 | 0.906344 | from get_classification_file_with_original_annotation import get_image_label_dict_from_original_annotation, get_classification_file_based_on_label
original_annotation_path="/git/PaDiM-master/assets_new_new/data/2021-03-05/json_for_classification"
image_data_root="/git/PaDiM-master/kangqiang_result/segment_image_resul... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9694b173393bf97b637e9f4591da6ed55639fb6b | 1,393 | py | Python | test_programs/configWriter.py | hackpsu-tech/hackPSUS2018-rfid | 0f33b588ddbf4a82ced9a25ba8a8384649b16017 | [
"MIT"
] | null | null | null | test_programs/configWriter.py | hackpsu-tech/hackPSUS2018-rfid | 0f33b588ddbf4a82ced9a25ba8a8384649b16017 | [
"MIT"
] | 2 | 2018-04-02T14:32:13.000Z | 2018-08-20T22:54:15.000Z | test_programs/configWriter.py | hackpsu-tech/hackPSUS2018-rfid | 0f33b588ddbf4a82ced9a25ba8a8384649b16017 | [
"MIT"
] | null | null | null | #!/usr/bin/python
"""
This application reads key value pairs from the command line input and writes to a dictionary, which is then written to a config file
The preferred file extension is .cfg
"""
import signal
import sys
import HackPSUconfig as config
#Initialize a dictionary and define the save and configFile variab... | 27.86 | 133 | 0.740847 | #!/usr/bin/python
"""
This application reads key value pairs from the command line input and writes to a dictionary, which is then written to a config file
The preferred file extension is .cfg
"""
import signal
import sys
import HackPSUconfig as config
#Initialize a dictionary and define the save and configFile variab... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6bfb814ea616ff65d9e7fd08ee83b2e4756f1452 | 473 | py | Python | criminals/migrations/0007_auto_20210220_1756.py | Three-Dev-Musketeers/Mumbai_Police | 293fbc1d81db459c23649c9c6b1eef8c38da1939 | [
"MIT"
] | 5 | 2021-02-19T20:37:35.000Z | 2021-12-19T06:41:50.000Z | criminals/migrations/0007_auto_20210220_1756.py | Divesh2201/Mumbai_Police | dfabf8494de2c790178541ee20d37d3002ca12af | [
"MIT"
] | 1 | 2021-10-04T17:37:51.000Z | 2021-10-05T10:50:36.000Z | criminals/migrations/0007_auto_20210220_1756.py | Divesh2201/Mumbai_Police | dfabf8494de2c790178541ee20d37d3002ca12af | [
"MIT"
] | 4 | 2021-03-05T05:44:20.000Z | 2021-04-25T17:23:16.000Z | # Generated by Django 3.1.6 on 2021-02-20 12:26
| 24.894737 | 128 | 0.591966 | # Generated by Django 3.1.6 on 2021-02-20 12:26
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('criminals', '0006_auto_20210220_0039'),
]
operations = [
migrations.AlterField(
model_name='criminalsinfo',
name='ge... | 0 | 0 | 0 | 359 | 0 | 0 | 0 | 19 | 46 |
e77acee0e7c8543927359213b9828e1f5e62e248 | 1,480 | py | Python | src/decoders/base_decoder.py | rproskuryakov/ai-journey-2020 | ff589b5bfff2aa957f0b8308918cc1d6de764413 | [
"MIT"
] | 1 | 2021-03-05T16:02:08.000Z | 2021-03-05T16:02:08.000Z | src/decoders/base_decoder.py | rproskuryakov/ai-journey-2020 | ff589b5bfff2aa957f0b8308918cc1d6de764413 | [
"MIT"
] | null | null | null | src/decoders/base_decoder.py | rproskuryakov/ai-journey-2020 | ff589b5bfff2aa957f0b8308918cc1d6de764413 | [
"MIT"
] | null | null | null | import logging
logger = logging.getLogger(__name__)
| 30.833333 | 102 | 0.586486 | import logging
from abc import ABC
from abc import abstractmethod
from typing import List
import torch
logger = logging.getLogger(__name__)
class BaseDecoder(ABC):
@abstractmethod
def __init__(self, letters: List[str], *args, **kwargs):
self.letters = letters
self.blank_id = kwargs.get("bla... | 0 | 311 | 0 | 1,002 | 0 | 0 | 0 | 0 | 112 |
b268de0e9446cae60748eb0b16a566e030c7f11b | 836 | py | Python | tests/test_load_config.py | Tommo565/titanic-mlflow | 5bdaad5b90313db212fb2547eb5476a41ff22ccc | [
"MIT"
] | 1 | 2022-02-06T19:57:54.000Z | 2022-02-06T19:57:54.000Z | tests/test_load_config.py | Tommo565/titanic-mlflow | 5bdaad5b90313db212fb2547eb5476a41ff22ccc | [
"MIT"
] | null | null | null | tests/test_load_config.py | Tommo565/titanic-mlflow | 5bdaad5b90313db212fb2547eb5476a41ff22ccc | [
"MIT"
] | null | null | null | import os
from src.utils.utils import load_config
def test_load_config():
"""Test the load_config function"""
config = load_config(".env.test")
assert config["app_name"] == os.getenv("APP_NAME")
assert config["parameters_path"] == os.getenv("PARAMETERS_PATH")
assert config["artifact_path"] == os... | 41.8 | 76 | 0.7189 | import os
from src.utils.utils import load_config
def test_load_config():
"""Test the load_config function"""
config = load_config(".env.test")
assert config["app_name"] == os.getenv("APP_NAME")
assert config["parameters_path"] == os.getenv("PARAMETERS_PATH")
assert config["artifact_path"] == os... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7c87a8a9a811d1766417700029f13134caee55c9 | 2,927 | py | Python | hierarkey/forms.py | rixx/django-hierarkey | e61f03bd1a35489905f3b08fdc18755f1ed07973 | [
"Apache-2.0"
] | 16 | 2017-04-09T16:41:50.000Z | 2022-03-07T17:39:55.000Z | hierarkey/forms.py | rixx/django-hierarkey | e61f03bd1a35489905f3b08fdc18755f1ed07973 | [
"Apache-2.0"
] | 13 | 2017-04-08T06:54:49.000Z | 2022-03-07T08:55:15.000Z | hierarkey/forms.py | rixx/django-hierarkey | e61f03bd1a35489905f3b08fdc18755f1ed07973 | [
"Apache-2.0"
] | 6 | 2017-07-12T19:20:10.000Z | 2020-07-21T14:18:50.000Z | import logging
logger = logging.getLogger(__name__)
| 37.525641 | 102 | 0.568842 | import logging
from django import forms
from django.core.files import File
from django.core.files.storage import default_storage
from django.core.files.uploadedfile import UploadedFile
from django.utils.crypto import get_random_string
from django.utils.translation import gettext_lazy as _
logger = logging.getLogger(_... | 0 | 0 | 0 | 2,574 | 0 | 0 | 0 | 143 | 156 |
66bc83c1998fe5920bedce5f0b443cae6461ddf5 | 950 | py | Python | ensg2hugo.py | tingmanz/trgn_assignment4 | 21ff919ae55693025c67d9401280a9455779fcdd | [
"MIT"
] | null | null | null | ensg2hugo.py | tingmanz/trgn_assignment4 | 21ff919ae55693025c67d9401280a9455779fcdd | [
"MIT"
] | null | null | null | ensg2hugo.py | tingmanz/trgn_assignment4 | 21ff919ae55693025c67d9401280a9455779fcdd | [
"MIT"
] | null | null | null | #!/usr/bin/python
import sys
import re
import pandas as pd
import csv
if sys.argv[1].startswith("-f"):
col_number = int(sys.argv[1][2]) - 1
input_file = sys.argv[2]
else:
col_number = 0
input_file = sys.argv[1]
name_dict = {}
with open("Homo_sapiens.GRCh37.75.gtf", "r") as f:
for line in f:
i... | 27.142857 | 82 | 0.651579 | #!/usr/bin/python
import sys
import re
import pandas as pd
import csv
if sys.argv[1].startswith("-f"):
col_number = int(sys.argv[1][2]) - 1
input_file = sys.argv[2]
else:
col_number = 0
input_file = sys.argv[1]
name_dict = {}
with open("Homo_sapiens.GRCh37.75.gtf", "r") as f:
for line in f:
i... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f635f9009cad44c08999f18e44479f6b58e99477 | 1,090 | py | Python | 238.Product_of_Array_Except_Self.py | wanxin-code/leetcode | 524d744202c4c887fda0a60861f80b30d706da67 | [
"MIT"
] | 1 | 2019-10-17T10:39:27.000Z | 2019-10-17T10:39:27.000Z | 238.Product_of_Array_Except_Self.py | wanxin-code/leetcode | 524d744202c4c887fda0a60861f80b30d706da67 | [
"MIT"
] | null | null | null | 238.Product_of_Array_Except_Self.py | wanxin-code/leetcode | 524d744202c4c887fda0a60861f80b30d706da67 | [
"MIT"
] | null | null | null | #Array
"""
Idea:
let forward[i] = nums[0]*nums[1]*...*nums[i-1] ,backward[i] = backward[i] = nums[i+1]*nums[i+2]*...*nums[n],
then,
res[i] = forward[i]*backward[i]
"""
import unittest
unittest.main()
| 27.25 | 108 | 0.566055 | #Array
"""
Idea:
let forward[i] = nums[0]*nums[1]*...*nums[i-1] ,backward[i] = backward[i] = nums[i+1]*nums[i+2]*...*nums[n],
then,
res[i] = forward[i]*backward[i]
"""
class Solution:
def productExceptSelf(self, nums):
forward = [1] #forward[i] = nums[0]*nums[1]*...*nums[i-1]
for item in nums[:-1... | 0 | 0 | 0 | 833 | 0 | 0 | 0 | 0 | 45 |
12a3e9e2ed005fc61135a10c0c22b0d343853afc | 393 | py | Python | src/drf_cloudstorage/__init__.py | inabhi9/drf-cloudstorage | 7f5e1b1e721208c5682f1f1e443a13af73d039bc | [
"MIT"
] | null | null | null | src/drf_cloudstorage/__init__.py | inabhi9/drf-cloudstorage | 7f5e1b1e721208c5682f1f1e443a13af73d039bc | [
"MIT"
] | null | null | null | src/drf_cloudstorage/__init__.py | inabhi9/drf-cloudstorage | 7f5e1b1e721208c5682f1f1e443a13af73d039bc | [
"MIT"
] | null | null | null | import logging
import cloudinary
from django.conf import settings
L = logging.getLogger(__name__)
try:
cloudinary.config(
cloud_name=settings.CLOUDINARY_NAME,
api_key=settings.CLOUDINARY_API_KEY,
api_secret=settings.CLOUDINARY_API_SECRET
)
except AttributeError:
L.warning('Cloudin... | 24.5625 | 94 | 0.763359 | import logging
import cloudinary
from django.conf import settings
L = logging.getLogger(__name__)
try:
cloudinary.config(
cloud_name=settings.CLOUDINARY_NAME,
api_key=settings.CLOUDINARY_API_KEY,
api_secret=settings.CLOUDINARY_API_SECRET
)
except AttributeError:
L.warning('Cloudin... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
94e1a59c4ea87e514a8b6e9576d3cd0c95da648d | 457 | py | Python | setup.py | BerenMillidge/inferactively | 110ba5f01c1c302ecde40b4d7e555d1da535e372 | [
"MIT"
] | null | null | null | setup.py | BerenMillidge/inferactively | 110ba5f01c1c302ecde40b4d7e555d1da535e372 | [
"MIT"
] | null | null | null | setup.py | BerenMillidge/inferactively | 110ba5f01c1c302ecde40b4d7e555d1da535e372 | [
"MIT"
] | null | null | null | import setuptools
setuptools.setup(
name="inferactively",
version="0.0.1",
description=(
"A Python implementation of active inference for Markov Decision Processes"
),
license="Apache 2.0",
url="https://github.com/alec-tschantz/infer-actively",
packages=[
"inferactively",
... | 24.052632 | 83 | 0.632385 | import setuptools
setuptools.setup(
name="inferactively",
version="0.0.1",
description=(
"A Python implementation of active inference for Markov Decision Processes"
),
license="Apache 2.0",
url="https://github.com/alec-tschantz/infer-actively",
packages=[
"inferactively",
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
71cf20761dbf0ecb5aa2cee2d51db791bf3fe7eb | 1,461 | py | Python | plantara/contrib/plants/migrations/0001_initial.py | plantara/plantara-backend | 3e3cf1f7aa83a124b7e1b616e44aa1f31333598e | [
"MIT"
] | null | null | null | plantara/contrib/plants/migrations/0001_initial.py | plantara/plantara-backend | 3e3cf1f7aa83a124b7e1b616e44aa1f31333598e | [
"MIT"
] | null | null | null | plantara/contrib/plants/migrations/0001_initial.py | plantara/plantara-backend | 3e3cf1f7aa83a124b7e1b616e44aa1f31333598e | [
"MIT"
] | null | null | null | # Generated by Django 3.2.8 on 2021-10-17 16:26
| 39.486486 | 142 | 0.622861 | # Generated by Django 3.2.8 on 2021-10-17 16:26
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import uuid
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
... | 0 | 0 | 0 | 1,269 | 0 | 0 | 0 | 31 | 112 |
d7bad8d7b546c1b3362cdd49974c49611166bb1e | 1,039 | py | Python | AvailabilityMonitor/DbAccess/dbaccesser.py | jinhong666/Python | b945759a1acf55cc8546f94618d46040455de422 | [
"Apache-2.0"
] | null | null | null | AvailabilityMonitor/DbAccess/dbaccesser.py | jinhong666/Python | b945759a1acf55cc8546f94618d46040455de422 | [
"Apache-2.0"
] | null | null | null | AvailabilityMonitor/DbAccess/dbaccesser.py | jinhong666/Python | b945759a1acf55cc8546f94618d46040455de422 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
SOCKET_TIMEOUT = 1
| 33.516129 | 116 | 0.666025 | #!/usr/bin/python
from Tools.datetimetool import DateTimeTool
import logging
from DbAccess import DBHelper
SOCKET_TIMEOUT = 1
class DbAccesser:
def __init__(self,host,user,pwd,db):
self._dbHelper = DBHelper(host,user,pwd,db)
self._logger = logging.getLogger("root")
def RecordMonitor(self,do... | 51 | 0 | 0 | 870 | 0 | 0 | 0 | 23 | 90 |
afdd8188bebf224706ecf8d027918397f38f1e8a | 500 | py | Python | sphinx/source/docs/user_guide/examples/styling_math_text_latex_axis_labels_titles_labels.py | g-parki/bokeh | 664ead5306bba64609e734d4105c8aa8cfb76d81 | [
"BSD-3-Clause"
] | 1 | 2020-05-26T15:21:22.000Z | 2020-05-26T15:21:22.000Z | sphinx/source/docs/user_guide/examples/styling_math_text_latex_axis_labels_titles_labels.py | g-parki/bokeh | 664ead5306bba64609e734d4105c8aa8cfb76d81 | [
"BSD-3-Clause"
] | 1 | 2021-12-15T17:32:31.000Z | 2021-12-21T18:11:05.000Z | sphinx/source/docs/user_guide/examples/styling_math_text_latex_axis_labels_titles_labels.py | g-parki/bokeh | 664ead5306bba64609e734d4105c8aa8cfb76d81 | [
"BSD-3-Clause"
] | 1 | 2021-12-20T05:50:00.000Z | 2021-12-20T05:50:00.000Z | from numpy import arange, pi, sin
from bokeh.models.annotations.labels import Label
from bokeh.plotting import figure, show
x = arange(-2*pi, 2*pi, 0.1)
y = sin(x)
p = figure(height=250, title=r"\[\sin(x)\text{ for }x\text{ between }-2\pi\text{ and }2\pi\]")
p.circle(x, y, alpha=0.6, size=7)
label = Label(
text... | 21.73913 | 94 | 0.632 | from numpy import arange, pi, sin
from bokeh.models.annotations.labels import Label
from bokeh.plotting import figure, show
x = arange(-2*pi, 2*pi, 0.1)
y = sin(x)
p = figure(height=250, title=r"\[\sin(x)\text{ for }x\text{ between }-2\pi\text{ and }2\pi\]")
p.circle(x, y, alpha=0.6, size=7)
label = Label(
text... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4760af4a55c71b0ac95f5803594db575b2cd9908 | 1,188 | py | Python | getpaid_payu/views.py | prog32/django-getpaid-payu | 1fedaa252b006d6543027a41bf791302bb7bc729 | [
"MIT"
] | null | null | null | getpaid_payu/views.py | prog32/django-getpaid-payu | 1fedaa252b006d6543027a41bf791302bb7bc729 | [
"MIT"
] | null | null | null | getpaid_payu/views.py | prog32/django-getpaid-payu | 1fedaa252b006d6543027a41bf791302bb7bc729 | [
"MIT"
] | null | null | null | import logging
logger = logging.getLogger(__name__)
| 30.461538 | 81 | 0.689394 | import json
import logging
import swapper
from django.shortcuts import get_object_or_404
from django.utils.decorators import method_decorator
from django.views import View
from django.views.decorators.csrf import csrf_exempt
from .processor import PaymentProcessor
logger = logging.getLogger(__name__)
@method_deco... | 0 | 858 | 0 | 0 | 0 | 0 | 0 | 96 | 179 |
9c7d8a845eefe61b5878d6b85fff302cd41bfe13 | 4,597 | py | Python | gtpython/gt/annotationsketch/feature_index.py | jamescasbon/genometools | 1187295df99c67f7083a2f4ed6bd39bfbdf1a7be | [
"MIT"
] | 2 | 2018-06-04T01:11:02.000Z | 2018-11-30T20:04:01.000Z | gtpython/gt/annotationsketch/feature_index.py | jamescasbon/genometools | 1187295df99c67f7083a2f4ed6bd39bfbdf1a7be | [
"MIT"
] | null | null | null | gtpython/gt/annotationsketch/feature_index.py | jamescasbon/genometools | 1187295df99c67f7083a2f4ed6bd39bfbdf1a7be | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2008 Sascha Steinbiss <steinbiss@zbh.uni-hamburg.de>
# Copyright (c) 2008 Center for Bioinformatics, University of Hamburg
#
# Permission to use, copy, modify, and distribute this software for any
# purpose with or without fee is hereby granted, provided that ... | 35.091603 | 75 | 0.667174 | #!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2008 Sascha Steinbiss <steinbiss@zbh.uni-hamburg.de>
# Copyright (c) 2008 Center for Bioinformatics, University of Hamburg
#
# Permission to use, copy, modify, and distribute this software for any
# purpose with or without fee is hereby granted, provided that ... | 0 | 0 | 0 | 3,421 | 0 | 0 | 0 | 91 | 179 |
bd1ac8b4ad4b032a01ce76b80fa324a7c44d8ffc | 4,171 | py | Python | sim_companies_scrapper_main.py | sparx058/simcompanies_basic_scrapper | fc68dae225f18acc5453c23ca48001a95fdc8eb1 | [
"MIT"
] | 1 | 2021-02-02T17:19:15.000Z | 2021-02-02T17:19:15.000Z | sim_companies_scrapper_main.py | sparx058/simcompanies_basic_scrapper | fc68dae225f18acc5453c23ca48001a95fdc8eb1 | [
"MIT"
] | null | null | null | sim_companies_scrapper_main.py | sparx058/simcompanies_basic_scrapper | fc68dae225f18acc5453c23ca48001a95fdc8eb1 | [
"MIT"
] | null | null | null | import pandas, csv, time
import psutil, asyncio
start_time = time.time()
headers = { # First line of defense
'Access-Control-Allow-Origin': '*',
'Access-Control-Allow-Methods': 'GET',
'Access-Control-Allow-Headers': 'Content-Type',
'Access-Control-Max-Age': '3600',
'User-Agent': 'Mo... | 44.37234 | 108 | 0.536322 | from bs4 import BeautifulSoup as bs
import requests, json, pprint, pandas, csv, time
import psutil, asyncio, aiohttp
start_time = time.time()
def string_to_json_print(st):
json_soup = json.loads(st)
pprint.pprint(json_soup)
headers = { # First line of defense
'Access-Control-Allow-Origin'... | 0 | 0 | 2,107 | 0 | 0 | 70 | 0 | 47 | 73 |
cb5295dbb2a1091ac28dd9666b172470e520049e | 592 | py | Python | skroute/datasets/__init__.py | arubiales/scikit-route | 83262d9d41ff700c911927f5bb6c93feb0c595e4 | [
"MIT"
] | 2 | 2020-12-30T19:01:08.000Z | 2022-01-17T09:50:59.000Z | skroute/datasets/__init__.py | arubiales/scikit-route | 83262d9d41ff700c911927f5bb6c93feb0c595e4 | [
"MIT"
] | 39 | 2020-12-30T14:58:45.000Z | 2021-06-21T20:50:02.000Z | skroute/datasets/__init__.py | arubiales/scikit-route | 83262d9d41ff700c911927f5bb6c93feb0c595e4 | [
"MIT"
] | 1 | 2020-12-31T00:41:10.000Z | 2020-12-31T00:41:10.000Z |
__all__ = [
"load_alicante_murcia", "load_barcelona", "load_madrid", "load_valencia"
"load_argentina", "load_burma", "load_china", "load_canada",
"load_djibouti", "load_egypt", "load_ireland", "load_finland",
"load_greece", "load_honduras", "load_italy", "load_japan",
"load_kazakhstan", "load_luxem... | 42.285714 | 81 | 0.701014 | import pandas as pd
from ._datasets import *
__all__ = [
"load_alicante_murcia", "load_barcelona", "load_madrid", "load_valencia"
"load_argentina", "load_burma", "load_china", "load_canada",
"load_djibouti", "load_egypt", "load_ireland", "load_finland",
"load_greece", "load_honduras", "load_italy", "lo... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 44 |
14b018be633387b8e048e3e985762dd942129231 | 499 | py | Python | rishabh/heat_map.py | nishantsinghdev/smartdata | e4a9799c76da4230e8d4edbb2e04c2a48eaa20df | [
"MIT"
] | null | null | null | rishabh/heat_map.py | nishantsinghdev/smartdata | e4a9799c76da4230e8d4edbb2e04c2a48eaa20df | [
"MIT"
] | null | null | null | rishabh/heat_map.py | nishantsinghdev/smartdata | e4a9799c76da4230e8d4edbb2e04c2a48eaa20df | [
"MIT"
] | null | null | null |
# coding: utf-8
# In[3]:
get_ipython().magic('matplotlib inline')
heat_map(filepath)
| 17.821429 | 50 | 0.689379 |
# coding: utf-8
# In[3]:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
get_ipython().magic('matplotlib inline')
def heat_map(filepath):
sep=','
df = pd.read_csv(filepath,sep,index_col=False)
#get only the numeric values of dataframe
pp=df._get_numeri... | 0 | 0 | 0 | 0 | 0 | 293 | 0 | 5 | 112 |
a9a7c2dfde259c282dcf86e8f4a3900fab7f72a5 | 23,874 | py | Python | djredcap/management/subcommands/djfixture.py | swanijam/django-redcap | 321456506ec4aaf2aff48e99418bcc8ce0f3b383 | [
"BSD-3-Clause"
] | null | null | null | djredcap/management/subcommands/djfixture.py | swanijam/django-redcap | 321456506ec4aaf2aff48e99418bcc8ce0f3b383 | [
"BSD-3-Clause"
] | null | null | null | djredcap/management/subcommands/djfixture.py | swanijam/django-redcap | 321456506ec4aaf2aff48e99418bcc8ce0f3b383 | [
"BSD-3-Clause"
] | null | null | null | import json
import re
import math
field_types = {
'date_ymd': 'DateField',
'number': 'FloatField',
'integer': 'IntegerField',
'email': 'EmailField',
'text': 'CharField',
'textarea': 'TextField',
'calc': 'FloatField',
'radio': 'CharField',
'select': 'CharField',
'ch... | 42.861759 | 80 | 0.479811 | import sys
import os
import csv
import json
import re
import math
from decimal import Decimal
from django.core.management.base import BaseCommand, CommandError
field_types = {
'date_ymd': 'DateField',
'number': 'FloatField',
'integer': 'IntegerField',
'email': 'EmailField',
'text': 'C... | 0 | 0 | 0 | 0 | 0 | 6,195 | 0 | 16 | 165 |
314e070709ba81f31502f4c772be9531b04818ba | 2,614 | py | Python | app.py | bestcondition/text-classification-annotation | 90845de8d4998bd3518621ffe154549c11ebabcf | [
"Apache-2.0"
] | null | null | null | app.py | bestcondition/text-classification-annotation | 90845de8d4998bd3518621ffe154549c11ebabcf | [
"Apache-2.0"
] | null | null | null | app.py | bestcondition/text-classification-annotation | 90845de8d4998bd3518621ffe154549c11ebabcf | [
"Apache-2.0"
] | null | null | null | from flask import Flask
import config
from controller import ProgressController
controller = ProgressController()
app = Flask(__name__)
if __name__ == '__main__':
app.run(host=config.host, port=config.port)
| 23.981651 | 74 | 0.647284 | from flask import Flask, render_template, url_for, redirect
from pathlib import Path
import config
from controller import ProgressController
controller = ProgressController()
app = Flask(__name__)
class ProcessView:
def __init__(self, process_controller: ProgressController):
self._controller = process_... | 174 | 1,114 | 0 | 1,021 | 0 | 0 | 0 | 39 | 160 |
fc351f58b3b3dad417d7efd5d253bcd77eaff9ec | 3,911 | py | Python | Components/mediawiki/wiki_data/extensions/CirrusSearch/scripts/compare-clusters.py | benkoo/XLP_ServiceMesh | 8c4c285f2e2c7b842064f94e40d4461677809046 | [
"MIT"
] | null | null | null | Components/mediawiki/wiki_data/extensions/CirrusSearch/scripts/compare-clusters.py | benkoo/XLP_ServiceMesh | 8c4c285f2e2c7b842064f94e40d4461677809046 | [
"MIT"
] | null | null | null | Components/mediawiki/wiki_data/extensions/CirrusSearch/scripts/compare-clusters.py | benkoo/XLP_ServiceMesh | 8c4c285f2e2c7b842064f94e40d4461677809046 | [
"MIT"
] | 1 | 2021-03-21T06:15:20.000Z | 2021-03-21T06:15:20.000Z | import sys
batch_size = 2000
clusters = {
'eqiad': "search.svc.eqiad.wmnet",
'codfw': "search.svc.codfw.wmnet",
}
if __name__ == "__main__":
import math
import multiprocessing
if not len(sys.argv) == 2:
print("Usage: %s <wiki>\n" % (sys.argv[0]))
sys.exit(1)
wiki = sys... | 30.317829 | 79 | 0.56584 | import json
import sys
batch_size = 2000
clusters = {
'eqiad': "search.svc.eqiad.wmnet",
'codfw': "search.svc.codfw.wmnet",
}
def do_request(session, cluster, wiki, type, ids):
host = clusters[cluster]
path = "%(wiki)s_%(type)s/page/_mget" % locals()
url = 'http://%(host)s:9200/%(path)s?fields=_i... | 0 | 0 | 0 | 0 | 0 | 2,632 | 0 | -10 | 160 |
f67a142d23f284b3a2ae4c076b7c86d6d1e60ec8 | 3,460 | py | Python | Codes/PC-Interface/ctypes_opencv/src/setup.py | eyantra/Border_Surveillance_Robot_using_Firebird_ATmega2560 | 8e8b1b5a9dbeaec02c0ee20ae9046b2cf8f5b826 | [
"MIT"
] | 1 | 2017-08-28T16:04:20.000Z | 2017-08-28T16:04:20.000Z | Codes/PC-Interface/ctypes_opencv/src/setup.py | eyantra/Border_Surveillance_Robot_using_Firebird_ATmega2560 | 8e8b1b5a9dbeaec02c0ee20ae9046b2cf8f5b826 | [
"MIT"
] | null | null | null | Codes/PC-Interface/ctypes_opencv/src/setup.py | eyantra/Border_Surveillance_Robot_using_Firebird_ATmega2560 | 8e8b1b5a9dbeaec02c0ee20ae9046b2cf8f5b826 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# ctypes-opencv - A Python wrapper for OpenCV using ctypes
# Copyright (c) 2008, Minh-Tri Pham
# All rights reserved.
# Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
# * Redistributions of source... | 54.920635 | 755 | 0.75289 | #!/usr/bin/env python
# ctypes-opencv - A Python wrapper for OpenCV using ctypes
# Copyright (c) 2008, Minh-Tri Pham
# All rights reserved.
# Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
# * Redistributions of source... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
461953fc25bd98092632473b6cee30f1e1fdbac2 | 475 | py | Python | steamapi/gettoplivegame.py | NNTin/Dota-2-Meta-Analyzer | ce19ab414cbe0a8ff720539fd766db69604e3488 | [
"MIT"
] | 22 | 2016-03-27T21:28:18.000Z | 2021-09-13T14:48:43.000Z | steamapi/gettoplivegame.py | NNTin/Dota-2-Meta-Analyzer | ce19ab414cbe0a8ff720539fd766db69604e3488 | [
"MIT"
] | 24 | 2016-03-28T09:39:41.000Z | 2018-11-06T20:42:30.000Z | steamapi/gettoplivegame.py | NNTin/Reply-Dota-2-Reddit | e47d20f3d5bfacc9f39625324e57781e8d3f029a | [
"MIT"
] | null | null | null | #message = True
| 29.6875 | 123 | 0.757895 | import requests
from steamapi.steamapikey import SteamAPIKey
#message = True
def requestGetTopLiveGame(partner):
#https://api.steampowered.com/IDOTA2Match_570/GetTopLiveGame/v1/?key=F79627788CAF92984B8B0E77FB29E9B8&partner=3
URL = "https://api.steampowered.com/IDOTA2Match_570/GetTopLiveGame/v1/?key=" + Stea... | 0 | 0 | 0 | 0 | 0 | 374 | 0 | 17 | 67 |
4909d4d7fb65c22e94a5109e9eb3377fd1387747 | 2,142 | py | Python | file_manager/migrations/0049_auto_20211110_1120.py | xiaofengxie128/Proteomic-Data-Manager | 79756c7021b1d5e4cc4cdb26d741f6ea18846a02 | [
"Apache-2.0"
] | null | null | null | file_manager/migrations/0049_auto_20211110_1120.py | xiaofengxie128/Proteomic-Data-Manager | 79756c7021b1d5e4cc4cdb26d741f6ea18846a02 | [
"Apache-2.0"
] | null | null | null | file_manager/migrations/0049_auto_20211110_1120.py | xiaofengxie128/Proteomic-Data-Manager | 79756c7021b1d5e4cc4cdb26d741f6ea18846a02 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 3.2.7 on 2021-11-10 18:20
| 36.305085 | 104 | 0.596639 | # Generated by Django 3.2.7 on 2021-11-10 18:20
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('file_manager', '0048_auto_20211108_2000'),
]
operations = [
migrations.AddField(
model_name='rawfile',
name='file_si... | 0 | 0 | 0 | 2,028 | 0 | 0 | 0 | 19 | 46 |
b6495a631b9a8c7835628b702542182b2cc2efb9 | 3,880 | py | Python | qiskit/tools/visualization/interactive/_iplot_histogram.py | a-amaral/qiskit-terra | e73beba1e68de2617046a7e1e9eeac375b61de81 | [
"Apache-2.0"
] | 1 | 2020-07-14T19:40:01.000Z | 2020-07-14T19:40:01.000Z | qiskit/tools/visualization/interactive/_iplot_histogram.py | a-amaral/qiskit-terra | e73beba1e68de2617046a7e1e9eeac375b61de81 | [
"Apache-2.0"
] | null | null | null | qiskit/tools/visualization/interactive/_iplot_histogram.py | a-amaral/qiskit-terra | e73beba1e68de2617046a7e1e9eeac375b61de81 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2018, IBM.
#
# This source code is licensed under the Apache License, Version 2.0 found in
# the LICENSE.txt file in the root directory of this source tree.
"""
Histogram visualization
"""
from string import Template
from collections import Counter
import sys
import time
import re
... | 29.393939 | 87 | 0.586598 | # -*- coding: utf-8 -*-
# Copyright 2018, IBM.
#
# This source code is licensed under the Apache License, Version 2.0 found in
# the LICENSE.txt file in the root directory of this source tree.
"""
Histogram visualization
"""
from string import Template
from collections import Counter
import sys
import time
import re
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ee5a628e9441f1ff1469e5840e03b1cccd2764ab | 3,936 | py | Python | varecof_io/writer/util.py | mobergd/interfaces | 82705d2173b9d213684da80913ec0593d30cdbe1 | [
"Apache-2.0"
] | null | null | null | varecof_io/writer/util.py | mobergd/interfaces | 82705d2173b9d213684da80913ec0593d30cdbe1 | [
"Apache-2.0"
] | null | null | null | varecof_io/writer/util.py | mobergd/interfaces | 82705d2173b9d213684da80913ec0593d30cdbe1 | [
"Apache-2.0"
] | null | null | null | """
Utility functions for formatting
"""
from qcelemental import constants as qcc
from qcelemental import periodictable as ptab
from automol import geom
# Conversion factors
BOHR2ANG = qcc.conversion_factor('bohr', 'angstrom')
def determine_struct_type(geo):
""" determines the linear string
"""
# Remo... | 31.741935 | 70 | 0.537348 | """
Utility functions for formatting
"""
from qcelemental import constants as qcc
from qcelemental import periodictable as ptab
from automol import geom
# Conversion factors
BOHR2ANG = qcc.conversion_factor('bohr', 'angstrom')
def determine_struct_type(geo):
""" determines the linear string
"""
# Remo... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5d00cc9a5f08d4b0a03b0272cab82fb013f02787 | 5,209 | py | Python | datasets/Object-Detection/voc2coco.py | fuhao7i/Magic-box | 69cd3395b26b8fb9840dc6285d3d81fd56c236cd | [
"Apache-2.0"
] | null | null | null | datasets/Object-Detection/voc2coco.py | fuhao7i/Magic-box | 69cd3395b26b8fb9840dc6285d3d81fd56c236cd | [
"Apache-2.0"
] | null | null | null | datasets/Object-Detection/voc2coco.py | fuhao7i/Magic-box | 69cd3395b26b8fb9840dc6285d3d81fd56c236cd | [
"Apache-2.0"
] | null | null | null | import os
import os.path as osp
import xml.etree.ElementTree as ET
import argparse
# voc_dir = '/data/xiaowenjie/nas/datasets/urpc2021/new_urpc/before/' #remember to modify the path
# voc_annotations = voc_dir + 'boxes/'
# txt_dir = voc_dir + 'txt/'
# coco_ann_dir = voc_dir + 'coco_ann/'
START_BOUNDING_BOX_ID = 1
PR... | 34.726667 | 99 | 0.563832 | import os
import os.path as osp
import random
import shutil
import sys
import json
import glob
import xml.etree.ElementTree as ET
import argparse
# voc_dir = '/data/xiaowenjie/nas/datasets/urpc2021/new_urpc/before/' #remember to modify the path
# voc_annotations = voc_dir + 'boxes/'
# txt_dir = voc_dir + 'txt/'
# coc... | 0 | 0 | 0 | 0 | 0 | 3,779 | 0 | -47 | 202 |
dc120abba621a32ef19a45fa96a310cebe889892 | 1,314 | py | Python | api/migrations/0002_auto_20210217_0327.py | felipebarraza6/emprende_escena | 6d42c9cc9973955d056697f556d3a872a533084c | [
"MIT"
] | null | null | null | api/migrations/0002_auto_20210217_0327.py | felipebarraza6/emprende_escena | 6d42c9cc9973955d056697f556d3a872a533084c | [
"MIT"
] | null | null | null | api/migrations/0002_auto_20210217_0327.py | felipebarraza6/emprende_escena | 6d42c9cc9973955d056697f556d3a872a533084c | [
"MIT"
] | null | null | null | # Generated by Django 3.1.6 on 2021-02-17 03:27
| 30.55814 | 113 | 0.583714 | # Generated by Django 3.1.6 on 2021-02-17 03:27
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0001_initial'),
]
operations = [
migrations.AlterModelOptions(
name='user',
options={'verbose_name': 'Usuario... | 0 | 0 | 0 | 1,200 | 0 | 0 | 0 | 19 | 46 |
fe3a8929fa9d94102170986097f8195b05f7d50b | 3,218 | py | Python | rallyrolebot/constants.py | Ju99ernaut/RallyRoleBot | 068a66fce957c2d65fa8d121fa96abe8c7b00e2d | [
"MIT"
] | null | null | null | rallyrolebot/constants.py | Ju99ernaut/RallyRoleBot | 068a66fce957c2d65fa8d121fa96abe8c7b00e2d | [
"MIT"
] | null | null | null | rallyrolebot/constants.py | Ju99ernaut/RallyRoleBot | 068a66fce957c2d65fa8d121fa96abe8c7b00e2d | [
"MIT"
] | null | null | null | from discord import Color
# TODO: Place holder for now - can use __init__.py once dependencies such as
# data.ROLE_MAPPINGS_TABLE and rally_api.BASE_URL have been removed
"""
Constants useful for data module
"""
ROLE_MAPPINGS_TABLE = "mappings"
CHANNEL_MAPPINGS_TABLE = "channel_mappings"
RALLY_CONNECTIONS_TABLE = "r... | 31.54902 | 267 | 0.753574 | from discord import Color
# TODO: Place holder for now - can use __init__.py once dependencies such as
# data.ROLE_MAPPINGS_TABLE and rally_api.BASE_URL have been removed
"""
Constants useful for data module
"""
ROLE_MAPPINGS_TABLE = "mappings"
CHANNEL_MAPPINGS_TABLE = "channel_mappings"
RALLY_CONNECTIONS_TABLE = "r... | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
910f4cbf2afcc54d1bf183779c52d25ab6d154e6 | 4,749 | py | Python | plugin/highlights.py | juliosueiras/LSP | e3090d1775587eedcf1ca65df62ba4bb67cc79c8 | [
"MIT"
] | null | null | null | plugin/highlights.py | juliosueiras/LSP | e3090d1775587eedcf1ca65df62ba4bb67cc79c8 | [
"MIT"
] | null | null | null | plugin/highlights.py | juliosueiras/LSP | e3090d1775587eedcf1ca65df62ba4bb67cc79c8 | [
"MIT"
] | null | null | null | from .core.protocol import DocumentHighlightKind
try:
from typing import List, Dict, Optional
assert List and Dict and Optional
except ImportError:
pass
SUBLIME_WORD_MASK = 515
NO_HIGHLIGHT_SCOPES = 'comment, string'
_kind2name = {
DocumentHighlightKind.Unknown: "unknown",
DocumentHighlightKind.Te... | 37.992 | 98 | 0.644978 | import sublime
import sublime_plugin
from .core.configurations import is_supported_syntax
from .core.protocol import Request, Range, DocumentHighlightKind
from .core.registry import session_for_view, client_from_session
from .core.documents import get_document_position
from .core.settings import settings, client_confi... | 0 | 309 | 0 | 3,515 | 0 | 148 | 0 | 159 | 201 |
8f5241da8a7ac8d05405007563d9e1dda6921114 | 743 | py | Python | Python/problem039.py | emergent/ProjectEuler | ec1c92cc47fde80efddeb0346d9b0fa511df1f00 | [
"Unlicense"
] | null | null | null | Python/problem039.py | emergent/ProjectEuler | ec1c92cc47fde80efddeb0346d9b0fa511df1f00 | [
"Unlicense"
] | null | null | null | Python/problem039.py | emergent/ProjectEuler | ec1c92cc47fde80efddeb0346d9b0fa511df1f00 | [
"Unlicense"
] | null | null | null | #! /usr/bin/env python3
'''
Problem 39 - Project Euler
http://projecteuler.net/index.php?section=problems&id=039
'''
if __name__ == '__main__':
x = 5
pytha = []
while True:
a,b,c = getPythagoreanTriplet(x)
if a+b+c > 1000:
break
else:
if a != 0:
... | 20.638889 | 57 | 0.476447 | #! /usr/bin/env python3
'''
Problem 39 - Project Euler
http://projecteuler.net/index.php?section=problems&id=039
'''
import math
def getPythagoreanTriplet(a):
for b in reversed(range(1, a)):
c = math.sqrt(a**2 - b**2)
if c.is_integer():
return (a,b,int(c))
else:
return (0, 0... | 0 | 0 | 0 | 0 | 0 | 173 | 0 | -10 | 45 |
4ddc87be85bece32e7c114f821318661dca71079 | 1,035 | py | Python | python/main_add_soil_T_time_range.py | ywang37/GEOS-FP | 5301d78775325cc844791f4d81d564f274dc8109 | [
"NCSA",
"Apache-2.0",
"MIT"
] | null | null | null | python/main_add_soil_T_time_range.py | ywang37/GEOS-FP | 5301d78775325cc844791f4d81d564f274dc8109 | [
"NCSA",
"Apache-2.0",
"MIT"
] | null | null | null | python/main_add_soil_T_time_range.py | ywang37/GEOS-FP | 5301d78775325cc844791f4d81d564f274dc8109 | [
"NCSA",
"Apache-2.0",
"MIT"
] | null | null | null | """
Created on April 19, 2020
@author: Yi Wang
"""
import datetime
from mylib.geosfp.gc_process import geosfp_add_variables
#######################
# Start user parameters
#
gc_root_dir = '/Dedicated/jwang-data/GCDATA/GEOS_2x2.5/GEOS_FP/'
new_root_dir = '/Dedicated/jwang-data/GCDATA/GEOS_2x2.5/GEOS_FP_soil_T/'
s... | 21.5625 | 72 | 0.634783 | """
Created on April 19, 2020
@author: Yi Wang
"""
import datetime
from mylib.geosfp.gc_process import geosfp_add_variables
#######################
# Start user parameters
#
gc_root_dir = '/Dedicated/jwang-data/GCDATA/GEOS_2x2.5/GEOS_FP/'
new_root_dir = '/Dedicated/jwang-data/GCDATA/GEOS_2x2.5/GEOS_FP_soil_T/'
s... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3f7332b1b0a55125a5d849d37422e9a2d6cd70ac | 912 | py | Python | setup.py | myra-ink/model_fkeywords | 7f6166453ebf3250aad968fcadac0c403585c6d9 | [
"Apache-2.0"
] | null | null | null | setup.py | myra-ink/model_fkeywords | 7f6166453ebf3250aad968fcadac0c403585c6d9 | [
"Apache-2.0"
] | null | null | null | setup.py | myra-ink/model_fkeywords | 7f6166453ebf3250aad968fcadac0c403585c6d9 | [
"Apache-2.0"
] | null | null | null | from setuptools import find_packages, setup
from setuptools import setup, find_packages
import os
PROJECT_DIR = os.path.dirname(__file__)
DEPENDENCIES = open(os.path.join(PROJECT_DIR, 'requirements.txt')).readlines()
setup(
name='model_fkeywords',
version='0.1.0',
description='A Natural Language Processi... | 35.076923 | 142 | 0.742325 | from setuptools import find_packages, setup
from setuptools.command.install import install
from setuptools import setup, find_packages
from distutils.command.install import install as _install
import os
PROJECT_DIR = os.path.dirname(__file__)
DEPENDENCIES = open(os.path.join(PROJECT_DIR, 'requirements.txt')).readline... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 61 | 44 |
9a0494cf74b3ef68079604981402c8cb5afa30da | 567 | py | Python | scripts/shared/cmdline.py | scala-native/benchmarks | 0de9421114f6fcdb339b968278b5372292acfa3b | [
"Apache-2.0"
] | 13 | 2018-09-13T05:07:53.000Z | 2022-02-13T11:40:34.000Z | scripts/shared/cmdline.py | scala-native/benchmarks | 0de9421114f6fcdb339b968278b5372292acfa3b | [
"Apache-2.0"
] | 4 | 2018-09-25T08:36:31.000Z | 2021-02-19T14:51:35.000Z | scripts/shared/cmdline.py | scala-native/scala-native-benchmarks | 0de9421114f6fcdb339b968278b5372292acfa3b | [
"Apache-2.0"
] | 8 | 2018-08-16T06:50:11.000Z | 2022-02-12T10:03:08.000Z | stable = 'scala-native-0.4.0-2.12'
latest = 'scala-native-0.4.1-SNAPSHOT-2.12' | 25.772727 | 44 | 0.583774 | stable = 'scala-native-0.4.0-2.12'
latest = 'scala-native-0.4.1-SNAPSHOT-2.12'
def expand_all(arg):
confs = []
for choice in arg:
expanded = expand_wild_cards(choice)
if expanded is None:
confs = [stable, latest]
else:
confs += [expanded]
return confs
def ex... | 0 | 0 | 0 | 0 | 0 | 443 | 0 | 0 | 46 |
5ac429e40ba7610ff323bf5568be7f303cb7a57d | 387 | py | Python | app/__init__.py | straterra/DreamerFlask | da8c16c105cb3008bcc2e9e995b518d892f21623 | [
"MIT"
] | null | null | null | app/__init__.py | straterra/DreamerFlask | da8c16c105cb3008bcc2e9e995b518d892f21623 | [
"MIT"
] | null | null | null | app/__init__.py | straterra/DreamerFlask | da8c16c105cb3008bcc2e9e995b518d892f21623 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# Written by Thomas York
# Imports
from flask import Flask
from flask_hashing import Hashing
from config import Config
from flask_sqlalchemy import SQLAlchemy
# Flask Setup
app = Flask(__name__)
app.config.from_object(Config)
hashing = Hashing(app)
db = SQLAlchemy(app)
# Route setup
# Flask Setup... | 16.826087 | 39 | 0.757106 | #!/usr/bin/python
# Written by Thomas York
# Imports
from flask import Flask
from flask_hashing import Hashing
from config import Config
from flask_sqlalchemy import SQLAlchemy
# Flask Setup
app = Flask(__name__)
app.config.from_object(Config)
hashing = Hashing(app)
db = SQLAlchemy(app)
# Route setup
from app.route... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 22 |
fbe11332bb561c96864971e5a879689742aca544 | 1,436 | py | Python | semester_1/lab_work_3/task_1/task_1.py | Alexandr-Mazanik/MIPT_lessons | 8eaba794c67136cd25688ef1d8bc22287747dd19 | [
"MIT"
] | null | null | null | semester_1/lab_work_3/task_1/task_1.py | Alexandr-Mazanik/MIPT_lessons | 8eaba794c67136cd25688ef1d8bc22287747dd19 | [
"MIT"
] | null | null | null | semester_1/lab_work_3/task_1/task_1.py | Alexandr-Mazanik/MIPT_lessons | 8eaba794c67136cd25688ef1d8bc22287747dd19 | [
"MIT"
] | 1 | 2020-11-14T06:48:39.000Z | 2020-11-14T06:48:39.000Z | """
Task 1
@author: Alexandr Mazanik
"""
import time
main()
time.sleep(2)
| 19.146667 | 78 | 0.555014 | """
Task 1
@author: Alexandr Mazanik
"""
import time
import turtle
def main():
turtle.shape('turtle')
turtle.pensize(5)
turtle.speed(5)
preparation()
index = '141700' # индекс
delta_l = 30 # расстояние между цифрами
length = 100 # длина... | 160 | 0 | 0 | 0 | 0 | 1,122 | 0 | -8 | 160 |
90584b0a35800759a082a9d9359377d6cf1d28a4 | 5,360 | py | Python | server/problem_sets/gen/gens/testbed/old.py | iiridescent/problem-sets | e906fe7509cd158ecdb5920853636339d4d531c3 | [
"MIT"
] | null | null | null | server/problem_sets/gen/gens/testbed/old.py | iiridescent/problem-sets | e906fe7509cd158ecdb5920853636339d4d531c3 | [
"MIT"
] | 5 | 2021-03-09T10:36:59.000Z | 2022-02-26T14:36:08.000Z | server/problem_sets/gen/gens/testbed/old.py | vinhowe/problem-sets | e906fe7509cd158ecdb5920853636339d4d531c3 | [
"MIT"
] | null | null | null |
#%%
import IPython.display as ipyd
#%%
from IPython.display import Markdown
ideas = open('./design/ideas.md')
output = ideas.read()
Markdown(output)
#%% [markdown]
# ### Problem type description template
#%% [markdown]
# ### Problem type title
#
# Description
#
# #### Problem generation
#
# Outline of algorith... | 22.521008 | 185 | 0.659142 |
#%%
import IPython.display as ipyd
#%%
from IPython.display import Markdown
ideas = open('./design/ideas.md')
output = ideas.read()
Markdown(output)
#%% [markdown]
# ### Problem type description template
#%% [markdown]
# ### Problem type title
#
# Description
#
# #### Problem generation
#
# Outline of algorith... | 0 | 0 | 0 | 0 | 0 | 1,559 | 0 | 101 | 157 |
72020ef0ed4816d9a768e1ebd83f3779946b55c0 | 4,694 | py | Python | RSA_VS30_to_MMI.py | griffij/eq_hazmap_tests | db9d6202937b08b543758b8e190566116dbcf83b | [
"Apache-2.0"
] | 1 | 2021-12-03T16:55:03.000Z | 2021-12-03T16:55:03.000Z | RSA_VS30_to_MMI.py | griffij/eq_hazmap_tests | db9d6202937b08b543758b8e190566116dbcf83b | [
"Apache-2.0"
] | null | null | null | RSA_VS30_to_MMI.py | griffij/eq_hazmap_tests | db9d6202937b08b543758b8e190566116dbcf83b | [
"Apache-2.0"
] | 1 | 2019-10-12T09:55:31.000Z | 2019-10-12T09:55:31.000Z | """Converts 1 hz RSA from a bedrock hazard map to soil values
using the NEHRP amplifcation factors
Reference: Borchedt 1994
RSA is then converted to MMI using the formuala of Atkinson and Kaka (2006)
Jonathan Griffin, AIFDR January 2011
"""
import sys
from RSA2MMI import rsa2mmi9
def hazmap2amp(RSA1, ... | 33.056338 | 84 | 0.534512 | """Converts 1 hz RSA from a bedrock hazard map to soil values
using the NEHRP amplifcation factors
Reference: Borchedt 1994
RSA is then converted to MMI using the formuala of Atkinson and Kaka (2006)
Jonathan Griffin, AIFDR January 2011
"""
import sys, os
import numpy as np
from scipy.interpolate import i... | 0 | 0 | 0 | 1,715 | 0 | 570 | 0 | 25 | 123 |
0b12192fe22627e34f9bc6b2aec5e8e5ccf6e194 | 14,137 | py | Python | Lib/GCS/wrapper.py | jaescalo/Akamai-Account-Audit | 9a37b4d5afe1005c1dc6e2dd4f97eaf8e3d06030 | [
"MIT"
] | 3 | 2020-12-09T17:47:22.000Z | 2021-05-28T00:06:03.000Z | Lib/GCS/wrapper.py | jaescalo/Akamai-Account-Audit | 9a37b4d5afe1005c1dc6e2dd4f97eaf8e3d06030 | [
"MIT"
] | null | null | null | Lib/GCS/wrapper.py | jaescalo/Akamai-Account-Audit | 9a37b4d5afe1005c1dc6e2dd4f97eaf8e3d06030 | [
"MIT"
] | 1 | 2021-02-17T17:15:32.000Z | 2021-02-17T17:15:32.000Z |
if __name__=="__main__":
w = Wrapper()
| 30.078723 | 179 | 0.713942 | import requests, logging, json, sys
from Lib.GCS.http_calls import EdgeGridHttpCaller
from random import randint
from akamai.edgegrid import EdgeGridAuth
from Lib.GCS.config import EdgeGridConfig
import urllib
import socket
import subprocess
import os
import dns.resolver
import functools
class Wrapper:
"""
A simple ... | 3 | 2,506 | 0 | 11,257 | 0 | 0 | 0 | 47 | 265 |
ec3d24db25de219ea07ebab77b318f54fdbf14dc | 2,378 | py | Python | tests/test_crawler.py | dachenlian/weibospider | 4fe9e08efcca11573f485a2ddbad3b7bc422fa7c | [
"MIT"
] | 3,649 | 2017-10-22T12:08:22.000Z | 2022-03-27T06:29:28.000Z | tests/test_crawler.py | dachenlian/weibospider | 4fe9e08efcca11573f485a2ddbad3b7bc422fa7c | [
"MIT"
] | 146 | 2017-10-22T12:54:29.000Z | 2022-02-14T13:54:23.000Z | tests/test_crawler.py | dachenlian/weibospider | 4fe9e08efcca11573f485a2ddbad3b7bc422fa7c | [
"MIT"
] | 1,002 | 2017-10-25T03:44:17.000Z | 2022-03-24T08:49:59.000Z |
HOME_AJAX_URL = 'http://weibo.com/p/aj/v6/mblog/mbloglist?ajwvr=6&domain={}&pagebar={}&is_ori=1&id={}{}&page={}' \
'&pre_page={}&__rnd={}'
| 31.289474 | 114 | 0.708158 | import time
from urllib import parse as url_parse
import pytest
from page_get import (
get_cont_of_weibo, get_page, get_profile)
from tasks.comment import crawl_comment_by_page
from tasks.repost import crawl_repost_by_page
from tests import REQUEST_INTERNAL
HOME_AJAX_URL = 'http://weibo.com/p/aj/v6/mblog/mblogl... | 6 | 430 | 0 | 0 | 0 | 1,387 | 0 | 108 | 294 |
0fbca3e07c4a34929361cc25f6911fe78b4fe106 | 2,010 | py | Python | Python/examples/example2.py | RyanShahidi/easyml | fe0ecab6de02c0d91ef7de937cfb72ce7fcf3a51 | [
"MIT"
] | 37 | 2016-11-16T20:11:34.000Z | 2022-03-28T19:18:35.000Z | Python/examples/example2.py | RyanShahidi/easyml | fe0ecab6de02c0d91ef7de937cfb72ce7fcf3a51 | [
"MIT"
] | 76 | 2016-11-06T18:04:41.000Z | 2021-04-30T20:34:51.000Z | Python/examples/example2.py | CCS-Lab/easyML | 664076b4aba733751905ed351e5a320f20f1e520 | [
"MIT"
] | 18 | 2016-12-21T17:41:29.000Z | 2021-05-10T20:43:49.000Z | from glmnet import ElasticNet
import io
import numpy as np
import pandas as pd
import requests
from sklearn.preprocessing import StandardScaler
# Load data
url = 'https://raw.githubusercontent.com/CCS-Lab/easyml/master/Python/datasets/prostate.csv'
s = requests.get(url).content
prostate = pd.read_csv(io.StringIO(s.de... | 30.454545 | 106 | 0.738806 | from glmnet import ElasticNet
import io
import numpy as np
import pandas as pd
import requests
from sklearn.preprocessing import StandardScaler
# Load data
url = 'https://raw.githubusercontent.com/CCS-Lab/easyml/master/Python/datasets/prostate.csv'
s = requests.get(url).content
prostate = pd.read_csv(io.StringIO(s.de... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9cc5d0cf3bc75d730a617fb4405aa3d01d0ee2a9 | 16,626 | py | Python | AppcestryCore/compare.py | jason-chao/appcestry | c3858e51ac27466cb008722453a3cc9882b2e6a1 | [
"MIT"
] | 3 | 2019-04-04T02:49:40.000Z | 2021-08-31T03:19:47.000Z | AppcestryCore/compare.py | jason-chao/appcestry | c3858e51ac27466cb008722453a3cc9882b2e6a1 | [
"MIT"
] | null | null | null | AppcestryCore/compare.py | jason-chao/appcestry | c3858e51ac27466cb008722453a3cc9882b2e6a1 | [
"MIT"
] | 2 | 2019-04-05T15:06:54.000Z | 2019-08-04T12:21:55.000Z | #!/usr/bin/env python3
# This script compares AppGene files for similiarty
# Run this script in terminal / command line to see the usage of arguments.
import os
import argparse
from sklearn.feature_extraction.text import HashingVectorizer
import json
import re
from sklearn.metrics.pairwise import cosine_similarity
im... | 41.669173 | 206 | 0.630218 | #!/usr/bin/env python3
# This script compares AppGene files for similiarty
# Run this script in terminal / command line to see the usage of arguments.
import os
import argparse
from sklearn.feature_extraction.text import HashingVectorizer
import json
import re
from sklearn.metrics.pairwise import cosine_similarity
im... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4b6a11e67196088c97e6abeb541ef85c169ff8c8 | 3,371 | py | Python | capiq_excel/downloader/tools.py | whoopnip/capiq-excel-downloader-py | 9500c4dad6157e1c7c6e59f159f8dcf5ab2ae287 | [
"MIT"
] | 10 | 2020-04-23T12:17:32.000Z | 2022-01-26T23:37:10.000Z | capiq_excel/downloader/tools.py | whoopnip/capiq-excel-downloader-py | 9500c4dad6157e1c7c6e59f159f8dcf5ab2ae287 | [
"MIT"
] | 7 | 2020-03-24T17:31:28.000Z | 2022-02-01T16:07:06.000Z | capiq_excel/downloader/tools.py | whoopnip/capiq-excel-downloader-py | 9500c4dad6157e1c7c6e59f159f8dcf5ab2ae287 | [
"MIT"
] | 6 | 2020-02-01T14:53:45.000Z | 2021-09-18T03:25:37.000Z | from typing import Dict
from concurrent.futures import ThreadPoolExecutor
from capiq_excel.fileops import get_path_of_failed_folder_add_if_necessary, move_file_to_failed_folder, get_path_of_additional_failed_folder_add_if_necessary
from exceldriver.tools import _start_excel_with_addins_and_attach
from processfiles.file... | 37.043956 | 159 | 0.732424 | from typing import Dict
import pandas as pd
import warnings
from concurrent.futures import ThreadPoolExecutor, TimeoutError
from capiq_excel.downloader.timeout import TimeoutWrapper
from capiq_excel.fileops import get_path_of_failed_folder_add_if_necessary, move_file_to_failed_folder, get_path_of_additional_failed_fol... | 0 | 0 | 0 | 0 | 0 | 1,262 | 0 | 185 | 204 |
d7794d2751d6e23b3cdaa72836458d23019b27c7 | 1,967 | py | Python | cidadaobr/endereco.py | yanorestes/cidadaobr | d91e94c58a23f6dafe4a1fc38c7738e241c87751 | [
"MIT"
] | 9 | 2018-02-06T02:34:38.000Z | 2019-06-12T02:01:09.000Z | cidadaobr/endereco.py | yyyyyyyan/cidadaobr | d91e94c58a23f6dafe4a1fc38c7738e241c87751 | [
"MIT"
] | 2 | 2019-08-20T01:27:04.000Z | 2019-08-22T16:45:23.000Z | cidadaobr/endereco.py | yyyyyyyan/cidadaobr | d91e94c58a23f6dafe4a1fc38c7738e241c87751 | [
"MIT"
] | 4 | 2021-02-26T02:00:23.000Z | 2022-02-26T22:35:48.000Z | #!/usr/bin/env python
# -*- coding: UTF-8 -*- | 41.851064 | 176 | 0.577021 | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
from requests import get, post
from bs4 import BeautifulSoup
from random import randint
class Endereco():
estados = ('AC', 'AL', 'AM', 'AP', 'BA', 'CE', 'DF', 'ES', 'GO', 'MA', 'MG', 'MS', 'MT', 'PA', 'PB', 'PE', 'PI', 'PR', 'RJ', 'RN', 'RS', 'RO', 'RR', 'SC', 'SE', 'S... | 6 | 0 | 0 | 1,808 | 0 | 0 | 0 | 22 | 89 |
787224de21edc0bd16e3016b55f59529e48b8898 | 315 | py | Python | src/chapter6/exercise3.py | group1BSE1/BSE-2021 | 43abaac6b6abd681e45ea56e3926eae211eef2b3 | [
"MIT"
] | null | null | null | src/chapter6/exercise3.py | group1BSE1/BSE-2021 | 43abaac6b6abd681e45ea56e3926eae211eef2b3 | [
"MIT"
] | null | null | null | src/chapter6/exercise3.py | group1BSE1/BSE-2021 | 43abaac6b6abd681e45ea56e3926eae211eef2b3 | [
"MIT"
] | null | null | null | print('This program finds the number of times a letter appears in a text')
word = input('Enter a text: ')
char = input('Enter letter to find its number of times: ')
count(word,char) | 31.5 | 74 | 0.64127 | print('This program finds the number of times a letter appears in a text')
word = input('Enter a text: ')
char = input('Enter letter to find its number of times: ')
def count(word,char):
count = 0
for letter in word:
if letter == char:
count = count + 1
print(count)
count(word,char) | 0 | 0 | 0 | 0 | 0 | 112 | 0 | 0 | 22 |
1d16c3b0bcd6642522d940e7e2ba225a2e80ae2f | 1,944 | py | Python | tests/test_tangles_prediction.py | Conzel/tangles | f5f1be754be9b53484f0ad5974232446934c5c74 | [
"MIT"
] | null | null | null | tests/test_tangles_prediction.py | Conzel/tangles | f5f1be754be9b53484f0ad5974232446934c5c74 | [
"MIT"
] | null | null | null | tests/test_tangles_prediction.py | Conzel/tangles | f5f1be754be9b53484f0ad5974232446934c5c74 | [
"MIT"
] | null | null | null | import numpy as np
from tangles.tree_tangles import get_hard_predictions
from tangles.loading import load_GMM
def test_simple_gaussians_ab():
"""
AB test to make sure the tangles algorithm still does the exact same thing.
"""
X, _ = load_GMM([20, 20], np.array([[0, 0], [1, 1]]), [0.7, 0.7], 10)
... | 34.714286 | 90 | 0.562757 | import numpy as np
from tangles.tree_tangles import get_hard_predictions
from tangles.loading import load_GMM
from sklearn.metrics import pairwise_distances
def test_trivial():
np.random.seed(0)
X = np.block([
[np.ones((3, 3)), np.zeros((3, 3))],
[np.zeros((3, 3)), np.ones((3, 3))]
])
... | 0 | 0 | 0 | 0 | 0 | 482 | 0 | 25 | 68 |
3649c57b4c6bc5ea8cb8b2d39c0949cb288f0e3d | 6,243 | py | Python | homeassistant/components/vconnex/py_vconnex/api.py | hainguyen248/core | b783644ba7bec4ac215cb8bf0e8dc7169087aaad | [
"Apache-2.0"
] | null | null | null | homeassistant/components/vconnex/py_vconnex/api.py | hainguyen248/core | b783644ba7bec4ac215cb8bf0e8dc7169087aaad | [
"Apache-2.0"
] | null | null | null | homeassistant/components/vconnex/py_vconnex/api.py | hainguyen248/core | b783644ba7bec4ac215cb8bf0e8dc7169087aaad | [
"Apache-2.0"
] | null | null | null | """Vconnex integration"""
import logging
API__TOKEN = "/auth/project-token"
logger = logging.getLogger(__name__)
| 28.506849 | 86 | 0.509691 | """Vconnex integration"""
import hashlib
import hmac
import base64
import json
import time
from types import SimpleNamespace
from typing import Any
from enum import Enum
import requests
import logging
API__TOKEN = "/auth/project-token"
logger = logging.getLogger(__name__)
class TokenInfo:
... | 0 | 0 | 0 | 5,839 | 0 | 0 | 0 | -38 | 311 |
7012233ee96c832d97fd837d4721ac71d6d9cb06 | 159 | py | Python | images_storage/main/admin.py | py-course-if-2019/image_storage | c96576b9ec69123edc81eb43e3f23a3015d5d2d1 | [
"MIT"
] | null | null | null | images_storage/main/admin.py | py-course-if-2019/image_storage | c96576b9ec69123edc81eb43e3f23a3015d5d2d1 | [
"MIT"
] | 10 | 2020-02-12T00:55:59.000Z | 2022-02-10T11:32:56.000Z | images_storage/main/admin.py | py-course-if-2019-team/image_storage | 96ccc30f8b76efc703d9d021a9398516d1d60152 | [
"MIT"
] | null | null | null |
# Register your models here.
| 15.9 | 35 | 0.773585 | from django.contrib import admin
from .models import Image
# Register your models here.
@admin.register(Image)
class ImageAdmin(admin.ModelAdmin):
pass
| 0 | 46 | 0 | 0 | 0 | 0 | 0 | 15 | 67 |
ad4c18552209ff2a499cd90b6dbb6d73ef2e786b | 516 | py | Python | video_to_sound.py | chgiol/AnTel | a35f48463818797a1e3638654a997dcfb3bfbb9c | [
"MIT"
] | null | null | null | video_to_sound.py | chgiol/AnTel | a35f48463818797a1e3638654a997dcfb3bfbb9c | [
"MIT"
] | 2 | 2021-02-08T20:24:10.000Z | 2021-06-01T22:34:18.000Z | video_to_sound.py | chgiol/AnTel | a35f48463818797a1e3638654a997dcfb3bfbb9c | [
"MIT"
] | null | null | null |
#EL PROGRAMA PUEDE TENER INPUT DE UNA URL
#extraer_sonido(ruta)
| 24.571429 | 123 | 0.581395 | import os
import ntpath
#EL PROGRAMA PUEDE TENER INPUT DE UNA URL
def extraer_sonido(ruta):
try:
ruta = '"' + ruta + '"'
nombre_archivo = ntpath.basename(ruta)[:-4] + 'flac'
os.system(
"ffmpeg -y -i " + ruta + " -ar 16000 -ss 00:00:05 -t 01:00:00.0 -ac 1 -q:a 0 -map... | 0 | 0 | 0 | 0 | 0 | 389 | 0 | -20 | 71 |
d550811b9b958dfa8684e565f63f003fd94b1210 | 1,061 | py | Python | dstk.py | GriffinAustin/py-for-data-sci | 6caa5c2930990385f22ea61331e6d4340c85cdef | [
"MIT"
] | null | null | null | dstk.py | GriffinAustin/py-for-data-sci | 6caa5c2930990385f22ea61331e6d4340c85cdef | [
"MIT"
] | null | null | null | dstk.py | GriffinAustin/py-for-data-sci | 6caa5c2930990385f22ea61331e6d4340c85cdef | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
main() | 20.403846 | 51 | 0.542884 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
class GraphType():
HIST = 0
LINE = 1
class ManipData(object):
def __init__(self, df):
self.df = df
def clean(self):
self.df = self.df.dropna()
def graph(self, g, **kwargs):
if g ... | 0 | 0 | 0 | 351 | 0 | 475 | 0 | 5 | 170 |
c162a3744ae19c4b636b22d1317dc1d7c539c694 | 2,205 | py | Python | tests/test_linkedlist.py | yoshiohasegawa/python-data-structures | 22fdf2af19a5976d2a79fa944bcbd7337ec72549 | [
"MIT"
] | null | null | null | tests/test_linkedlist.py | yoshiohasegawa/python-data-structures | 22fdf2af19a5976d2a79fa944bcbd7337ec72549 | [
"MIT"
] | null | null | null | tests/test_linkedlist.py | yoshiohasegawa/python-data-structures | 22fdf2af19a5976d2a79fa944bcbd7337ec72549 | [
"MIT"
] | 1 | 2021-09-17T03:09:00.000Z | 2021-09-17T03:09:00.000Z | # Third party imports
# pydatastructs imports
# Setup
# initialize _linkedlist in pytest fixture to be used in individual method tests
# Executions
# append() adds a new instantiation of the Node class to the end of the linked list
# append() accepts any data type
# remove_head() removes and returns the head node fr... | 30.205479 | 84 | 0.687528 | # Third party imports
import pytest
# pydatastructs imports
from pydatastructs.linkedlist import LinkedList
# Setup
# initialize _linkedlist in pytest fixture to be used in individual method tests
@pytest.fixture
def linkedlist():
_linkedlist = LinkedList()
return _linkedlist
# Executions
# append() adds a ne... | 0 | 66 | 0 | 0 | 0 | 1,367 | 0 | 18 | 132 |
f7d4272cec3760a998d75de7e4cd1e7f7db5572b | 3,343 | py | Python | scripts/fig4/p1_prime_flexibility.py | choderalab/covid-moonshot-manuscript | 276d843bf9a30b4510cacb52045dc02c448fb964 | [
"MIT"
] | null | null | null | scripts/fig4/p1_prime_flexibility.py | choderalab/covid-moonshot-manuscript | 276d843bf9a30b4510cacb52045dc02c448fb964 | [
"MIT"
] | 1 | 2022-01-26T05:49:01.000Z | 2022-01-26T05:49:01.000Z | scripts/fig4/p1_prime_flexibility.py | choderalab/covid-moonshot-manuscript | 276d843bf9a30b4510cacb52045dc02c448fb964 | [
"MIT"
] | null | null | null | import pymol
from pymol import cmd, util
from sys import argv
# usage: pymol -cq script_name.py -- path/to/fragments/
path = argv[1:][0]
print(f"Using path: {path} for structures")
# Set some nice CB friendly colours
cmd.set_color("cb_orange", [0.96, 0.41, 0.23])
# Add filter (ambient) and other misc settings
cmd.s... | 29.324561 | 99 | 0.693987 | import pymol
from pymol import cmd, util
from sys import argv
# usage: pymol -cq script_name.py -- path/to/fragments/
path = argv[1:][0]
print(f"Using path: {path} for structures")
# Set some nice CB friendly colours
cmd.set_color("cb_orange", [0.96, 0.41, 0.23])
# Add filter (ambient) and other misc settings
cmd.s... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b25bc60405417730817d378944cb7bade47478da | 2,550 | py | Python | mosaic/test/test_node.py | JohnKurian/mosaic | bc985640844e10b9aded478d6ef7a5f286ab2d82 | [
"BSD-3-Clause"
] | 6 | 2018-09-17T13:27:46.000Z | 2021-09-03T15:46:15.000Z | mosaic/test/test_node.py | JohnKurian/mosaic | bc985640844e10b9aded478d6ef7a5f286ab2d82 | [
"BSD-3-Clause"
] | null | null | null | mosaic/test/test_node.py | JohnKurian/mosaic | bc985640844e10b9aded478d6ef7a5f286ab2d82 | [
"BSD-3-Clause"
] | 2 | 2019-11-21T13:17:11.000Z | 2020-11-30T03:32:41.000Z |
''' def test_fully_expanded(self):
def a_func(): return 0
def b_func(): return 0
def c_func(): return 0
x1 = ListTask(is_ordered=False, name = "x1", tasks = ["x1__p1", "x1__p2"])
x2 = ListTask(is_ordered=True, name = "x2", tasks = ["x2__p1", "x2__p2"])
start = Cho... | 40.47619 | 92 | 0.586667 | import unittest
from mosaic.node import Node
class TestNode(unittest.TestCase):
def test_add_node(self):
node = Node()
assert(node.id_count == 0)
assert(node.get_attribute(0, "name") == "root")
node.add_node(name="v1", parent_node = 0)
assert(node.get_path_to_node(1, name... | 0 | 0 | 0 | 906 | 0 | 0 | 0 | 1 | 68 |
9b43b27a672db13a52d4be4fd0fcd42c9d26be3a | 2,164 | py | Python | Code/model_close.py | riemannruiz/analisis_datos | d7b8f140bd0f89a881aa30040966eacd5564fa3c | [
"MIT"
] | null | null | null | Code/model_close.py | riemannruiz/analisis_datos | d7b8f140bd0f89a881aa30040966eacd5564fa3c | [
"MIT"
] | 1 | 2019-03-21T21:16:00.000Z | 2019-03-21T21:16:00.000Z | Code/model_close.py | riemannruiz/analisis_datos | d7b8f140bd0f89a881aa30040966eacd5564fa3c | [
"MIT"
] | 3 | 2019-03-20T22:43:36.000Z | 2019-03-27T19:16:38.000Z | # -*- coding: utf-8 -*-
"""
Created on Thu Feb 7 20:52:19 2019
@author: if715029
"""
### Crea los clusters de 5, 20, 40 y 125 das y los exporta a .sav
import pandas as pd
import numpy as np
from sklearn.cluster import KMeans
from time import time
import pickle
t1 = time()
csv = ['AC','ALFAA','ALPEKA','ALSEA','ELE... | 27.392405 | 94 | 0.656654 | # -*- coding: utf-8 -*-
"""
Created on Thu Feb 7 20:52:19 2019
@author: if715029
"""
### Crea los clusters de 5, 20, 40 y 125 días y los exporta a .sav
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.cluster import KMeans
from time import time
import pickle
t1 = time()
csv = ['... | 8 | 0 | 0 | 0 | 0 | 790 | 0 | 10 | 88 |