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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
e782ab6519d6eb45869667c81ea29373a6747990 | 3,379 | py | Python | src/dataset/__init__.py | renyi-ai/drfrankenstein | b9064cdea67698f70af07849bc5decaafccac9f3 | [
"MIT"
] | 4 | 2021-12-08T14:27:19.000Z | 2022-01-05T20:19:03.000Z | src/dataset/__init__.py | renyi-ai/drfrankenstein | b9064cdea67698f70af07849bc5decaafccac9f3 | [
"MIT"
] | null | null | null | src/dataset/__init__.py | renyi-ai/drfrankenstein | b9064cdea67698f70af07849bc5decaafccac9f3 | [
"MIT"
] | null | null | null | import os
import torch
import torchvision
from dotmap import DotMap
from torch.utils.data import DataLoader
import warnings
warnings.filterwarnings("ignore", category=UserWarning) # suppress deprecation warning coming from torchvision
from torchvision import transforms as T
from src.dataset.celeba import CelebAGener... | 33.127451 | 111 | 0.701687 |
e783b17584e255167072de85b2618b63b5b4dc93 | 2,036 | py | Python | sqlpuzzle/_queries/query.py | Dundee/python-sqlpuzzle | 260524922a0645c9bf94a9779195f93ef2c78cba | [
"MIT"
] | 8 | 2015-03-19T11:25:32.000Z | 2020-09-02T11:30:10.000Z | sqlpuzzle/_queries/query.py | Dundee/python-sqlpuzzle | 260524922a0645c9bf94a9779195f93ef2c78cba | [
"MIT"
] | 7 | 2015-03-23T14:34:28.000Z | 2022-02-21T12:36:01.000Z | sqlpuzzle/_queries/query.py | Dundee/python-sqlpuzzle | 260524922a0645c9bf94a9779195f93ef2c78cba | [
"MIT"
] | 4 | 2018-11-28T21:59:27.000Z | 2020-01-05T01:50:08.000Z | from collections import OrderedDict
from sqlpuzzle._common import Object, force_text
__all__ = ('Query',)
| 32.83871 | 103 | 0.594303 |
e78424b14306bfa799fb3574d99aac50146668c6 | 7,380 | py | Python | src/model/rfdn_old.py | yamengxi/EDSR-PyTorch | c99fa78bb57f62a0a317b0875ead79b78a2cb51f | [
"MIT"
] | null | null | null | src/model/rfdn_old.py | yamengxi/EDSR-PyTorch | c99fa78bb57f62a0a317b0875ead79b78a2cb51f | [
"MIT"
] | null | null | null | src/model/rfdn_old.py | yamengxi/EDSR-PyTorch | c99fa78bb57f62a0a317b0875ead79b78a2cb51f | [
"MIT"
] | null | null | null | from math import gcd
import torch
import torch.nn as nn
import torch.nn.functional as F
from model import common
if __name__ == '__main__':
# test network
import os
os.environ['CUDA_VISIBLE_DEVICES'] = '1'
import argparse
args = argparse.Namespace()
args.scale = [2]
args.patch_siz... | 30 | 122 | 0.577642 |
e784490971ab41ffd2647c11b71798f07f70439d | 1,825 | py | Python | tests/test_versions.py | uilianries/bintray-python | ab06edcf33663a5095c6c2121c19fbe2c1409127 | [
"MIT"
] | 4 | 2019-07-02T14:37:55.000Z | 2022-01-20T13:37:01.000Z | tests/test_versions.py | uilianries/bintray-python | ab06edcf33663a5095c6c2121c19fbe2c1409127 | [
"MIT"
] | 53 | 2019-07-02T17:13:47.000Z | 2022-03-15T11:55:41.000Z | tests/test_versions.py | uilianries/bintray-python | ab06edcf33663a5095c6c2121c19fbe2c1409127 | [
"MIT"
] | null | null | null | import datetime
import pytest
from bintray.bintray import Bintray
PACKAGE_VERSION = None
| 33.796296 | 97 | 0.651507 |
e784bdd424c3f8231790a74c4c0cceee56ac71b8 | 2,811 | py | Python | mlsurvey/sl/workflows/tasks/split_data.py | jlaumonier/mlsurvey | 373598d067c7f0930ba13fe8da9756ce26eecbaf | [
"MIT"
] | null | null | null | mlsurvey/sl/workflows/tasks/split_data.py | jlaumonier/mlsurvey | 373598d067c7f0930ba13fe8da9756ce26eecbaf | [
"MIT"
] | null | null | null | mlsurvey/sl/workflows/tasks/split_data.py | jlaumonier/mlsurvey | 373598d067c7f0930ba13fe8da9756ce26eecbaf | [
"MIT"
] | null | null | null | from kedro.pipeline import node
from mlsurvey.workflows.tasks import BaseTask
| 42.590909 | 119 | 0.615439 |
e7852830f7448dabef4a58fa4656c3bc9f91759a | 1,148 | py | Python | examples/translation/utils.py | TomerRonen34/fairseq-mcrerank | f8682632fda388fa4ac8b37c8b1217aab7c6cc78 | [
"MIT"
] | null | null | null | examples/translation/utils.py | TomerRonen34/fairseq-mcrerank | f8682632fda388fa4ac8b37c8b1217aab7c6cc78 | [
"MIT"
] | null | null | null | examples/translation/utils.py | TomerRonen34/fairseq-mcrerank | f8682632fda388fa4ac8b37c8b1217aab7c6cc78 | [
"MIT"
] | null | null | null | from multiprocessing.pool import ThreadPool, Pool
from typing import Any, List, Callable, Sequence, TypeVar, Optional, Iterable
from functools import partial
from tqdm import tqdm
T = TypeVar('T')
| 38.266667 | 105 | 0.713415 |
e7852b32b35a07e13497ea3cb29b32fa65afdefa | 5,590 | py | Python | ludus/neural_net/hello_world/by_torch.py | hiryou/MLPractice | 72de4e54b7775b3e51415deef25dfba13f0df2bd | [
"MIT"
] | null | null | null | ludus/neural_net/hello_world/by_torch.py | hiryou/MLPractice | 72de4e54b7775b3e51415deef25dfba13f0df2bd | [
"MIT"
] | null | null | null | ludus/neural_net/hello_world/by_torch.py | hiryou/MLPractice | 72de4e54b7775b3e51415deef25dfba13f0df2bd | [
"MIT"
] | null | null | null | from datetime import datetime as dt
import torch
import torch.nn as nn
"""
Inspired by https://medium.com/dair-ai/a-simple-neural-network-from-scratch-with-pytorch-and-google-colab-c7f3830618e0
"""
f = open('study-sleep-grade.txt')
lines = f.readlines()
f.close()
# print(lines)
x_all = []
y_all = []
for line in l... | 32.312139 | 119 | 0.583363 |
e785b3be6e87a6ac65e2125dcfad43785cdbddfd | 26,003 | py | Python | assignment 5/hw5/submit_hw5.py | dhruvgairola/linearAlgebra-coursera | 20109133b9e53a7a38cbd17d8ca1fa1316bbf0d3 | [
"MIT"
] | 6 | 2015-09-18T02:07:21.000Z | 2020-04-22T17:05:11.000Z | submit_hw5.py | tri2sing/LinearAlgebraPython | f3dde94f02f146089607eb520ebd4467becb5f9e | [
"Apache-2.0"
] | null | null | null | submit_hw5.py | tri2sing/LinearAlgebraPython | f3dde94f02f146089607eb520ebd4467becb5f9e | [
"Apache-2.0"
] | 10 | 2015-09-05T03:54:00.000Z | 2020-04-21T12:56:40.000Z | # version code 941
######## ########
# Hi there, curious student. #
# #
# This submission script runs some tests on your #
# code and then uploads it to Coursera for grading. #
# ... | 97.389513 | 16,294 | 0.588971 |
e787bcd6981ab8c6f9fc36ab52ca6a454a307f8b | 18,932 | py | Python | simtrain/run_sim_ab.py | jamesmcinerney/accordion | e7845396f0800037ec9883b687c7f2c51f3605ea | [
"BSD-3-Clause"
] | 2 | 2022-01-06T23:53:49.000Z | 2022-03-09T11:45:59.000Z | simtrain/run_sim_ab.py | jamesmcinerney/accordion | e7845396f0800037ec9883b687c7f2c51f3605ea | [
"BSD-3-Clause"
] | 1 | 2021-11-30T15:39:46.000Z | 2021-11-30T15:39:46.000Z | simtrain/run_sim_ab.py | jamesmcinerney/accordion | e7845396f0800037ec9883b687c7f2c51f3605ea | [
"BSD-3-Clause"
] | null | null | null | import os
import numpy as np
import pandas as pd
from scipy import sparse as sp
from typing import Callable, List, Tuple, Dict
from os.path import join
from . import utils, process_dat
from . import SETTINGS_POLIMI as SETTINGS
os.environ['NUMEXPR_MAX_THREADS'] = str(SETTINGS.hyp['cores'])
pd.options.mode.chained_ass... | 51.445652 | 173 | 0.642087 |
e7892fea9811ca64f1f900de4472430e6d8b4486 | 164 | py | Python | pysmore/test_optimizer.py | RainBoltz/pySmore | abb805639ea04c1c34877e4423a799ceb2e13b52 | [
"MIT"
] | null | null | null | pysmore/test_optimizer.py | RainBoltz/pySmore | abb805639ea04c1c34877e4423a799ceb2e13b52 | [
"MIT"
] | 4 | 2021-06-26T11:42:29.000Z | 2021-06-29T04:25:30.000Z | pysmore/test_optimizer.py | RainBoltz/pySmore | abb805639ea04c1c34877e4423a799ceb2e13b52 | [
"MIT"
] | null | null | null | from libs.optimizer import get_dotproduct_loss
import numpy as np
a = np.array([0.1,0.2,0.3])
b = np.array([0,0.2,0])
L = get_dotproduct_loss(a, b, 1.0)
print(L) | 18.222222 | 46 | 0.689024 |
e78f62fb09e2bbb8eb8ee9208fe99efffe0f65df | 764 | py | Python | hackathon/migrations/0040_auto_20210225_1656.py | auxfuse/ci-hackathon-app | 87d5ad7aae33c15f535ceed28e1657a014159516 | [
"MIT"
] | 11 | 2020-10-06T13:50:46.000Z | 2021-02-27T20:19:17.000Z | hackathon/migrations/0040_auto_20210225_1656.py | auxfuse/ci-hackathon-app | 87d5ad7aae33c15f535ceed28e1657a014159516 | [
"MIT"
] | 174 | 2020-10-13T18:25:34.000Z | 2022-01-17T09:49:18.000Z | hackathon/migrations/0040_auto_20210225_1656.py | auxfuse/ci-hackathon-app | 87d5ad7aae33c15f535ceed28e1657a014159516 | [
"MIT"
] | 46 | 2020-10-14T11:27:20.000Z | 2022-01-31T17:48:12.000Z | # Generated by Django 3.1.3 on 2021-02-25 16:56
from django.db import migrations, models
| 31.833333 | 166 | 0.645288 |
e7900d67c9b489f2fc3ebfdce5b20defba370ffd | 14,412 | py | Python | lume_model/variables.py | jacquelinegarrahan/lume-model | d66e8031a7ff378626cf35d50e82479ce41fddd5 | [
"BSD-3-Clause-LBNL"
] | 1 | 2020-07-31T18:28:53.000Z | 2020-07-31T18:28:53.000Z | lume_model/variables.py | jacquelinegarrahan/lume-model | d66e8031a7ff378626cf35d50e82479ce41fddd5 | [
"BSD-3-Clause-LBNL"
] | null | null | null | lume_model/variables.py | jacquelinegarrahan/lume-model | d66e8031a7ff378626cf35d50e82479ce41fddd5 | [
"BSD-3-Clause-LBNL"
] | null | null | null | """
This module contains definitions of lume-model variables for use with lume tools.
The variables are divided into input and outputs, each with different minimal requirements.
Initiating any variable without the minimum requirements will result in an error.
Two types of variables are currently defined: Scalar and Im... | 28.595238 | 95 | 0.653691 |
e7906c70b711ba97e6fdc5595977690188fb605b | 14,139 | py | Python | elavonvtpv/Request.py | jros99/elavontpv | 5c6dc8dae6118fae49b1e6b68171d6afb966a6f4 | [
"MIT"
] | null | null | null | elavonvtpv/Request.py | jros99/elavontpv | 5c6dc8dae6118fae49b1e6b68171d6afb966a6f4 | [
"MIT"
] | null | null | null | elavonvtpv/Request.py | jros99/elavontpv | 5c6dc8dae6118fae49b1e6b68171d6afb966a6f4 | [
"MIT"
] | null | null | null | from xml.etree import ElementTree as Etree
from xml.dom import minidom
from elavonvtpv.enum import RequestType
from elavonvtpv.Response import Response
import datetime
import hashlib
import requests
| 39.828169 | 116 | 0.680529 |
e793b8c6c2db37656d49f422576a00f5c293a6c7 | 764 | py | Python | qal/transformation/tests/test_transformation.py | OptimalBPM/qal | 4d7a31c0d68042b4110e1fa3e733711e0fdd473e | [
"Unlicense"
] | 3 | 2016-05-02T14:35:55.000Z | 2021-08-31T14:19:15.000Z | qal/transformation/tests/test_transformation.py | OptimalBPM/qal | 4d7a31c0d68042b4110e1fa3e733711e0fdd473e | [
"Unlicense"
] | null | null | null | qal/transformation/tests/test_transformation.py | OptimalBPM/qal | 4d7a31c0d68042b4110e1fa3e733711e0fdd473e | [
"Unlicense"
] | 1 | 2018-03-18T13:19:52.000Z | 2018-03-18T13:19:52.000Z | import json
import os
from jsonschema.validators import Draft4Validator
from qal.transformation import generate_schema
__author__ = 'nibo'
import unittest
Test_Script_Dir = os.path.dirname(__file__)
Test_Resource_Dir = os.path.join(Test_Script_Dir, 'resources')
if __name__ == '__main__':
unittest.main()
| 26.344828 | 102 | 0.721204 |
e795e23298f6f43ba743d0ade5bd00f6bbba1f9e | 3,900 | py | Python | tools/send_notification.py | Gruntrexpewrus/qiskit-app-benchmarks | 2415e3387e834b886795119b98a2a57cda1f8402 | [
"Apache-2.0"
] | null | null | null | tools/send_notification.py | Gruntrexpewrus/qiskit-app-benchmarks | 2415e3387e834b886795119b98a2a57cda1f8402 | [
"Apache-2.0"
] | null | null | null | tools/send_notification.py | Gruntrexpewrus/qiskit-app-benchmarks | 2415e3387e834b886795119b98a2a57cda1f8402 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# This code is part of Qiskit.
#
# (C) Copyright IBM 2022.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modific... | 30 | 96 | 0.62 |
e79679623553bf3e6b0c212a4abe4239e1e9c46e | 597 | py | Python | custom_model_metrics_visualize.py | Miso-K/DDCW | aa033e1bf9258eee0a39b6dd69260910179528e0 | [
"MIT"
] | 1 | 2021-12-07T19:22:27.000Z | 2021-12-07T19:22:27.000Z | custom_model_metrics_visualize.py | Miso-K/DDCW | aa033e1bf9258eee0a39b6dd69260910179528e0 | [
"MIT"
] | null | null | null | custom_model_metrics_visualize.py | Miso-K/DDCW | aa033e1bf9258eee0a39b6dd69260910179528e0 | [
"MIT"
] | null | null | null | import pickle
"""Run visualization of internal metrics of DDCW model after evaluation (read saved evaluation object)"""
evaluator = pickle.load(open("evaluatorobject", "rb"))
# Plotting internal model metrics (for DDCW model)
from utils import plot_custom_model_metrics as pc
pc.plot_model_size(evaluator, model_ids=[0,... | 59.7 | 154 | 0.775544 |
e797a7a5a91026acebbea8e62cd9af74a6081d82 | 130 | py | Python | tests/http/conftest.py | cuenca-mx/facturapi-python | a81f0c6e350d3782f845269c12ed201a7b448a29 | [
"MIT"
] | 1 | 2022-01-13T23:17:10.000Z | 2022-01-13T23:17:10.000Z | tests/http/conftest.py | cuenca-mx/facturapi-python | a81f0c6e350d3782f845269c12ed201a7b448a29 | [
"MIT"
] | 58 | 2020-12-03T00:41:13.000Z | 2022-03-30T17:07:21.000Z | tests/http/conftest.py | cuenca-mx/facturapi-python | a81f0c6e350d3782f845269c12ed201a7b448a29 | [
"MIT"
] | null | null | null | import pytest
| 18.571429 | 55 | 0.769231 |
e797c53079a12e6b66af6ddfba0f8e193f423bfa | 12,061 | py | Python | rmnd_lca/data_collection.py | xiaoshir/rmnd-lca | 9831d59361ec7afbb6ff69e318eb225fd7ae7aaf | [
"BSD-3-Clause"
] | 2 | 2021-02-02T13:17:56.000Z | 2021-02-03T13:20:49.000Z | rmnd_lca/data_collection.py | xiaoshir/rmnd-lca | 9831d59361ec7afbb6ff69e318eb225fd7ae7aaf | [
"BSD-3-Clause"
] | null | null | null | rmnd_lca/data_collection.py | xiaoshir/rmnd-lca | 9831d59361ec7afbb6ff69e318eb225fd7ae7aaf | [
"BSD-3-Clause"
] | null | null | null | from . import DATA_DIR
import pandas as pd
import xarray as xr
import numpy as np
from pathlib import Path
import csv
REMIND_ELEC_MARKETS = (DATA_DIR / "remind_electricity_markets.csv")
REMIND_ELEC_EFFICIENCIES = (DATA_DIR / "remind_electricity_efficiencies.csv")
REMIND_ELEC_EMISSIONS = (DATA_DIR / "remind_electricity... | 41.163823 | 121 | 0.633032 |
e797fb0c79199d813ab06d5cbc6850ea799dad85 | 817 | py | Python | runtests.py | imposeren/django-loginas | d1bfde45d37f1a7b6fd5e1128ab3a4811c89f46d | [
"BSD-3-Clause"
] | null | null | null | runtests.py | imposeren/django-loginas | d1bfde45d37f1a7b6fd5e1128ab3a4811c89f46d | [
"BSD-3-Clause"
] | null | null | null | runtests.py | imposeren/django-loginas | d1bfde45d37f1a7b6fd5e1128ab3a4811c89f46d | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
import os
import sys
from django.conf import settings
if not settings.configured:
settings.configure(**{
'ROOT_URLCONF': 'loginas.tests.urls',
'INSTALLED_APPS': (
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.au... | 24.029412 | 75 | 0.625459 |
e79800f262cb9ba9ad9c992c22e0ce9c0d9971e1 | 2,219 | py | Python | verification/alembic/versions/398d6252cdce_baseline.py | DhivakharVenkatachalam/snet-marketplace-service | 6aee606bc9b00d418caeae26c64deae03792e0ce | [
"MIT"
] | 14 | 2019-02-12T09:14:52.000Z | 2021-03-11T18:42:22.000Z | verification/alembic/versions/398d6252cdce_baseline.py | prashantramangupta/snet-marketplace-service | 7c293054e4b0207deefecc46defd743c064472a4 | [
"MIT"
] | 1,079 | 2019-01-10T04:31:24.000Z | 2022-03-29T06:16:42.000Z | verification/alembic/versions/398d6252cdce_baseline.py | prashantramangupta/snet-marketplace-service | 7c293054e4b0207deefecc46defd743c064472a4 | [
"MIT"
] | 20 | 2018-12-18T13:06:41.000Z | 2021-09-17T11:13:01.000Z | """baseline
Revision ID: 398d6252cdce
Revises:
Create Date: 2020-03-12 10:10:15.689958
"""
import sqlalchemy as sa
from alembic import op
from sqlalchemy.dialects import mysql
# revision identifiers, used by Alembic.
revision = '398d6252cdce'
down_revision = None
branch_labels = None
depends_on = None
| 40.345455 | 79 | 0.713384 |
e79859dfb4990d5e5cfbb2680f14d60850089719 | 3,037 | py | Python | 11 - Attention Mechanism/deployment/german_to_english.py | shan18/EVA4-Phase-2 | 12922fbeac63397944e9b464c2d5c60faf24e532 | [
"MIT"
] | null | null | null | 11 - Attention Mechanism/deployment/german_to_english.py | shan18/EVA4-Phase-2 | 12922fbeac63397944e9b464c2d5c60faf24e532 | [
"MIT"
] | null | null | null | 11 - Attention Mechanism/deployment/german_to_english.py | shan18/EVA4-Phase-2 | 12922fbeac63397944e9b464c2d5c60faf24e532 | [
"MIT"
] | 4 | 2020-08-09T07:10:46.000Z | 2021-01-16T14:57:23.000Z | import pickle
import torch
import numpy as np
from attention import make_model
SRC_STOI = None
TARGET_ITOS = None
TRG_EOS_TOKEN = None
TRG_SOS_TOKEN = None
def greedy_decode(model, src, src_mask, src_lengths, max_len=100, sos_index=1, eos_index=None):
"""Greedily decode a sentence."""
with torch.no_grad()... | 26.181034 | 95 | 0.650642 |
e798df9c3613a25e49d4f31b12f398095cbd43e5 | 1,470 | py | Python | dvrip/cmd/log.py | alexshpilkin/xmeye | e76df1d091d85aa6cffb5c332ba6ae419ac9ac89 | [
"CC0-1.0"
] | 34 | 2019-05-04T06:06:17.000Z | 2021-12-06T03:28:40.000Z | dvrip/cmd/log.py | alexshpilkin/xmeye | e76df1d091d85aa6cffb5c332ba6ae419ac9ac89 | [
"CC0-1.0"
] | 9 | 2019-06-17T09:37:50.000Z | 2020-10-24T22:36:29.000Z | dvrip/cmd/log.py | alexshpilkin/xmeye | e76df1d091d85aa6cffb5c332ba6ae419ac9ac89 | [
"CC0-1.0"
] | 21 | 2019-06-17T09:34:27.000Z | 2022-03-22T18:14:22.000Z | from datetime import datetime
from getopt import GetoptError, getopt
from socket import AF_INET, SOCK_STREAM, socket as Socket
from sys import stderr
from typing import List, NoReturn
from ..io import DVRIPClient
from ..message import EPOCH
from . import EX_USAGE, guard, prog_connect
| 22.96875 | 66 | 0.62449 |
e7a2f6b672dc486099d8e2392cbe5c375c0acf9b | 974 | py | Python | scripts/dockerize.py | allenai/twentyquestions | 48f0de26d2dca963cdae1263245d3b267ae7a771 | [
"Apache-2.0"
] | 9 | 2020-07-23T03:36:26.000Z | 2022-03-03T15:20:36.000Z | scripts/dockerize.py | allenai/twentyquestions | 48f0de26d2dca963cdae1263245d3b267ae7a771 | [
"Apache-2.0"
] | null | null | null | scripts/dockerize.py | allenai/twentyquestions | 48f0de26d2dca963cdae1263245d3b267ae7a771 | [
"Apache-2.0"
] | 2 | 2021-12-21T18:36:43.000Z | 2022-03-30T07:28:52.000Z | """Create the docker image for running twentyquestions.
See ``python dockerize.py --help`` for more information.
"""
import logging
import subprocess
import click
from backend import settings
logger = logging.getLogger(__name__)
if __name__ == '__main__':
dockerize()
| 22.136364 | 74 | 0.680698 |
e7a3d90a6de6a45565b36fa144dea090e1ad04fd | 872 | py | Python | brainex/misc.py | ebuntel/BrainExTemp | 991038155a6e9289af90da3d800210841ef23ff1 | [
"MIT"
] | 1 | 2020-09-04T16:15:26.000Z | 2020-09-04T16:15:26.000Z | brainex/misc.py | ebuntel/Brainextemp | 991038155a6e9289af90da3d800210841ef23ff1 | [
"MIT"
] | null | null | null | brainex/misc.py | ebuntel/Brainextemp | 991038155a6e9289af90da3d800210841ef23ff1 | [
"MIT"
] | null | null | null | import numpy as np
| 27.25 | 114 | 0.65711 |
e7a4488e65f1fc4046645c736a4bb09a8772ab4a | 923 | py | Python | day6.py | robbyblum/adventofcode2020 | 88121a613181bbe2afe720c4941e819394692314 | [
"MIT"
] | null | null | null | day6.py | robbyblum/adventofcode2020 | 88121a613181bbe2afe720c4941e819394692314 | [
"MIT"
] | null | null | null | day6.py | robbyblum/adventofcode2020 | 88121a613181bbe2afe720c4941e819394692314 | [
"MIT"
] | null | null | null | # day 6...
# count distinct questions or whatever
# parse forms from input file. Split by group!
if __name__ == '__main__':
main()
| 27.147059 | 79 | 0.622969 |
e7a4d66c86e3930282ca2d1df67c260cf1812319 | 30,854 | py | Python | danceschool/core/classreg.py | benjwrdill/django-danceschool | 9ecb2754502e62d0f49aa23d08ca6de6cae3c99a | [
"BSD-3-Clause"
] | null | null | null | danceschool/core/classreg.py | benjwrdill/django-danceschool | 9ecb2754502e62d0f49aa23d08ca6de6cae3c99a | [
"BSD-3-Clause"
] | null | null | null | danceschool/core/classreg.py | benjwrdill/django-danceschool | 9ecb2754502e62d0f49aa23d08ca6de6cae3c99a | [
"BSD-3-Clause"
] | null | null | null | from django.core.urlresolvers import reverse
from django.core.exceptions import ObjectDoesNotExist, ValidationError
from django.contrib import messages
from django.db.models import Q
from django.http import HttpResponseRedirect, Http404
from django.views.generic import FormView, RedirectView, TemplateView
from django.u... | 45.70963 | 209 | 0.651099 |
e7a5a15ae34d07d8db1c25006ec84dcaf8009bc5 | 2,962 | py | Python | back/account/api/email.py | LEEJ0NGWAN/FreeChart | 8769aea07079fe3a5af4aab701028e6aa9cb6598 | [
"MIT"
] | null | null | null | back/account/api/email.py | LEEJ0NGWAN/FreeChart | 8769aea07079fe3a5af4aab701028e6aa9cb6598 | [
"MIT"
] | 6 | 2021-04-08T19:48:40.000Z | 2022-02-27T08:27:06.000Z | back/account/api/email.py | LEEJ0NGWAN/FreeList | 8769aea07079fe3a5af4aab701028e6aa9cb6598 | [
"MIT"
] | null | null | null | import json
from datetime import datetime
from django.core.mail import send_mail
from django.contrib.auth import (
login, logout, update_session_auth_hash
)
from django.template import loader
from django.http import JsonResponse
from django.views.decorators.csrf import csrf_exempt
from django.utils.decorators impor... | 30.536082 | 69 | 0.571236 |
e7a5ebe78234567ac294586e54a0cc52c905e1ab | 7,069 | py | Python | uhecr_model/legacy/fit_model.py | uhecr-project/uhecr_model | 8a2e8ab6f11cd2700f6455dff54c746cf3ffb143 | [
"MIT"
] | null | null | null | uhecr_model/legacy/fit_model.py | uhecr-project/uhecr_model | 8a2e8ab6f11cd2700f6455dff54c746cf3ffb143 | [
"MIT"
] | 2 | 2021-07-12T08:01:11.000Z | 2021-08-04T03:01:30.000Z | uhecr_model/legacy/fit_model.py | uhecr-project/uhecr_model | 8a2e8ab6f11cd2700f6455dff54c746cf3ffb143 | [
"MIT"
] | null | null | null | '''
Python script of the fitting process in the notebook run_simulation.ipynb.
This is made so that this can be run on command line as a bash script.
'''
import os
from fancy import Data, Model, Analysis
import argparse
# paths to important files
path_to_this_file = os.path.abspath(os.path.dirname(__file__))
stan_pa... | 35.883249 | 82 | 0.602065 |
e7a6b3deb3404722ce0da5d1eb1fa36f8c646f61 | 24,339 | py | Python | src/STATS_VALLBLS_FROMDATA.py | IBMPredictiveAnalytics/STATS_VALLBLS_FROMDATA | 84e3a236f89ab519c4060799ea18475b21cbe182 | [
"Apache-2.0"
] | null | null | null | src/STATS_VALLBLS_FROMDATA.py | IBMPredictiveAnalytics/STATS_VALLBLS_FROMDATA | 84e3a236f89ab519c4060799ea18475b21cbe182 | [
"Apache-2.0"
] | null | null | null | src/STATS_VALLBLS_FROMDATA.py | IBMPredictiveAnalytics/STATS_VALLBLS_FROMDATA | 84e3a236f89ab519c4060799ea18475b21cbe182 | [
"Apache-2.0"
] | null | null | null | #/***********************************************************************
# * Licensed Materials - Property of IBM
# *
# * IBM SPSS Products: Statistics Common
# *
# * (C) Copyright IBM Corp. 1989, 2020
# *
# * US Government Users Restricted Rights - Use, duplication or disclosure
# * restricted by GSA ADP Schedule Co... | 40.430233 | 118 | 0.613131 |
e7a768bb780bbb1c988fdcd6c422407c747377f4 | 2,432 | py | Python | grb/model/torch/gcn.py | Stanislas0/grb | 96fc521f57fdb06ab6a3c442fcf4a8bc97894829 | [
"MIT"
] | null | null | null | grb/model/torch/gcn.py | Stanislas0/grb | 96fc521f57fdb06ab6a3c442fcf4a8bc97894829 | [
"MIT"
] | null | null | null | grb/model/torch/gcn.py | Stanislas0/grb | 96fc521f57fdb06ab6a3c442fcf4a8bc97894829 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
| 32.864865 | 118 | 0.622944 |
e7a791554575cfdae58180ee5e737290c593ad04 | 4,959 | py | Python | graph_helper/graph_helper/graph_tools.py | mepland/steam_ana | e8fa381f9bb0924b64f7d821800584038e475f58 | [
"MIT"
] | null | null | null | graph_helper/graph_helper/graph_tools.py | mepland/steam_ana | e8fa381f9bb0924b64f7d821800584038e475f58 | [
"MIT"
] | null | null | null | graph_helper/graph_helper/graph_tools.py | mepland/steam_ana | e8fa381f9bb0924b64f7d821800584038e475f58 | [
"MIT"
] | null | null | null | import pandas as pd
import networkx as nx
import collections
from operator import itemgetter
| 31.993548 | 107 | 0.661827 |
e7a8aa6b70456f5550774b4856cbe073e29b6d11 | 4,818 | py | Python | test/test_modify_contact.py | EkaterinaPentjuhina/python_training | 43f939cf690a91af9ec0fddfd18f9e3c55cfefb6 | [
"Apache-2.0"
] | 1 | 2020-06-08T17:16:29.000Z | 2020-06-08T17:16:29.000Z | test/test_modify_contact.py | EkaterinaPentjuhina/python_training | 43f939cf690a91af9ec0fddfd18f9e3c55cfefb6 | [
"Apache-2.0"
] | null | null | null | test/test_modify_contact.py | EkaterinaPentjuhina/python_training | 43f939cf690a91af9ec0fddfd18f9e3c55cfefb6 | [
"Apache-2.0"
] | null | null | null | from model.contact_properties import Contact
import random
import allure
# def test_edit_contact_firstname(app):
# if app.contact.count() == 0:
# app.contact.add_new(Contact(firstname="Ekaterina", middlename="Aleksandrovna", lastname="Pentjuhina",
# nickname="kate_pent... | 62.571429 | 127 | 0.611872 |
e7a92a95db912c80cf38633ff72e26c2c4e31c0b | 10,690 | py | Python | gnuradio-3.7.13.4/gr-digital/python/digital/gmsk.py | v1259397/cosmic-gnuradio | 64c149520ac6a7d44179c3f4a38f38add45dd5dc | [
"BSD-3-Clause"
] | 1 | 2021-03-09T07:32:37.000Z | 2021-03-09T07:32:37.000Z | gnuradio-3.7.13.4/gr-digital/python/digital/gmsk.py | v1259397/cosmic-gnuradio | 64c149520ac6a7d44179c3f4a38f38add45dd5dc | [
"BSD-3-Clause"
] | null | null | null | gnuradio-3.7.13.4/gr-digital/python/digital/gmsk.py | v1259397/cosmic-gnuradio | 64c149520ac6a7d44179c3f4a38f38add45dd5dc | [
"BSD-3-Clause"
] | null | null | null | #
# GMSK modulation and demodulation.
#
#
# Copyright 2005-2007,2012 Free Software Foundation, Inc.
#
# This file is part of GNU Radio
#
# GNU Radio is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either v... | 37.118056 | 106 | 0.628344 |
e7aa9064324acdd187e774765f46eb3185d1f2ed | 879 | py | Python | CS1/0270_while_loop_projects/shape_drawing_answers/00turtle_triangle.py | nealholt/python_programming_curricula | eda4432dab97178b4a5712b160f5b1da74c068cb | [
"MIT"
] | 7 | 2020-10-14T03:23:12.000Z | 2022-03-09T23:16:13.000Z | CS1/0270_while_loop_projects/shape_drawing_answers/00turtle_triangle.py | nealholt/python_programming_curricula | eda4432dab97178b4a5712b160f5b1da74c068cb | [
"MIT"
] | null | null | null | CS1/0270_while_loop_projects/shape_drawing_answers/00turtle_triangle.py | nealholt/python_programming_curricula | eda4432dab97178b4a5712b160f5b1da74c068cb | [
"MIT"
] | 11 | 2021-02-21T20:50:56.000Z | 2022-01-29T07:01:28.000Z | '''
Start by reading and running the following code
to see what it does.
1. Then rewrite this code so that it uses a for loop.
Challenge yourself to make the rewrite as short as
possible.
2. Modify your code to draw a square instead of a triangle.
3. Modify your code to draw a pentagon. (You should Google
what angles ... | 24.416667 | 59 | 0.763367 |
e7ab9b749df400d1548577100113061652fee1a6 | 1,237 | py | Python | app/core/tests/test_models.py | samkahunga65/recipe-app | 9cc20530d9b144d63a732ebb8a882c4574571a58 | [
"MIT"
] | null | null | null | app/core/tests/test_models.py | samkahunga65/recipe-app | 9cc20530d9b144d63a732ebb8a882c4574571a58 | [
"MIT"
] | null | null | null | app/core/tests/test_models.py | samkahunga65/recipe-app | 9cc20530d9b144d63a732ebb8a882c4574571a58 | [
"MIT"
] | null | null | null | from django.test import TestCase
from django.contrib.auth import get_user_model | 32.552632 | 69 | 0.641067 |
e7ad7e22c70ed3137dd18f4e726de9b99512a83a | 1,505 | py | Python | seg_vgg19_all/dataloader.py | dingmyu/Pytorch-Topology-Aware-Delineation | beaedccf0f5ac5bbff873b338a46224da6aa3e74 | [
"MIT"
] | 32 | 2019-02-27T21:13:31.000Z | 2022-03-16T03:01:05.000Z | model/dataloader.py | dingmyu/Pytorch-Instance-Lane-Segmentation | 81b03124904ea25e96ace0e3586cde10760e8dd1 | [
"MIT"
] | 2 | 2018-06-11T09:57:20.000Z | 2019-09-03T06:56:35.000Z | model/dataloader.py | dingmyu/Pytorch-Instance-Lane-Segmentation | 81b03124904ea25e96ace0e3586cde10760e8dd1 | [
"MIT"
] | 14 | 2018-08-01T14:39:23.000Z | 2020-04-20T11:46:54.000Z | import torch.utils.data as data
import os
import numpy as np
import cv2
#/mnt/lustre/share/dingmingyu/new_list_lane.txt
| 34.204545 | 103 | 0.592691 |
e7b0d827d74cdcb93b4f709a268a326fc11991f2 | 840 | py | Python | setup.py | eldridgea/workdown | d32258079e924c8340f54ee870b9c5730c689d4a | [
"MIT"
] | 18 | 2019-09-24T14:17:43.000Z | 2022-02-26T20:44:41.000Z | setup.py | eldridgea/workdown | d32258079e924c8340f54ee870b9c5730c689d4a | [
"MIT"
] | 3 | 2019-09-24T00:40:13.000Z | 2019-09-24T00:41:28.000Z | setup.py | eldridgea/workdown | d32258079e924c8340f54ee870b9c5730c689d4a | [
"MIT"
] | 1 | 2019-10-31T15:17:11.000Z | 2019-10-31T15:17:11.000Z | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="workdown",
version="0.0.4",
author="Eldridge Alexander",
author_email="eldridgea@gmail.com",
description="Write Markdown and have it published and hosted on Cloudflare Workers",
long_d... | 30 | 88 | 0.64881 |
e7b296bb1a1ad24f7f75ecc81423bfc15fe48ea4 | 6,834 | py | Python | transport/views.py | ezekielkibiego/Store_Center | 199bb8240e78e7227d2daa0ce8d9df13e1c429f7 | [
"MIT"
] | 6 | 2022-01-27T15:12:43.000Z | 2022-03-28T23:07:14.000Z | transport/views.py | ezekielkibiego/Store_Center | 199bb8240e78e7227d2daa0ce8d9df13e1c429f7 | [
"MIT"
] | 7 | 2022-01-21T11:58:55.000Z | 2022-01-29T00:11:10.000Z | transport/views.py | ezekielkibiego/Store_Center | 199bb8240e78e7227d2daa0ce8d9df13e1c429f7 | [
"MIT"
] | 3 | 2022-01-27T13:22:11.000Z | 2022-03-03T12:41:31.000Z |
from django.conf import settings
from django.shortcuts import redirect, render
from transport.models import *
from transport.forms import *
from django.contrib.auth.decorators import login_required
import requests,json
from django.template.loader import render_to_string, get_template
from django.core.mail import Email... | 34 | 99 | 0.685104 |
e7b2e1c4fe302de386156f3fdfc4d005279001ea | 5,267 | py | Python | gui/loadobservations_widget.py | Varnani/pywd2015-qt5 | b4865eeb80f659d8d7cf8f45807ee3e27e8555fb | [
"MIT"
] | 7 | 2020-04-17T16:33:24.000Z | 2021-12-28T14:27:53.000Z | gui/loadobservations_widget.py | Varnani/pywd2015-qt5 | b4865eeb80f659d8d7cf8f45807ee3e27e8555fb | [
"MIT"
] | null | null | null | gui/loadobservations_widget.py | Varnani/pywd2015-qt5 | b4865eeb80f659d8d7cf8f45807ee3e27e8555fb | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'loadobservations_widget.ui'
#
# Created by: PyQt5 UI code generator 5.11.3
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
| 56.031915 | 104 | 0.734574 |
e7b3485f66392bf1b323888f547fee27f2a1d7b3 | 33,383 | py | Python | configs/parameter.py | THU-luvision/SurRF | 581b9fa5392cb6cceffcd5f13876e3de6c125ac0 | [
"MIT"
] | 3 | 2022-02-14T01:15:48.000Z | 2022-03-22T07:24:05.000Z | configs/parameter.py | THU-luvision/SurRF | 581b9fa5392cb6cceffcd5f13876e3de6c125ac0 | [
"MIT"
] | null | null | null | configs/parameter.py | THU-luvision/SurRF | 581b9fa5392cb6cceffcd5f13876e3de6c125ac0 | [
"MIT"
] | null | null | null | import numpy as np
import os
import torch
import math
| 45.419048 | 277 | 0.563191 |
e7b6a95018b4406321bba44db5a81c84cc3f5675 | 1,214 | py | Python | beatcrunch/beatUrlTest.py | iero/BeatCrunch | baa88595670b0dc1fb2a0e95fe33b176a0c010d6 | [
"Apache-2.0"
] | null | null | null | beatcrunch/beatUrlTest.py | iero/BeatCrunch | baa88595670b0dc1fb2a0e95fe33b176a0c010d6 | [
"Apache-2.0"
] | null | null | null | beatcrunch/beatUrlTest.py | iero/BeatCrunch | baa88595670b0dc1fb2a0e95fe33b176a0c010d6 | [
"Apache-2.0"
] | null | null | null | import sys, os
import traceback
import gensim
import pickle
import utils
import Statistics
import Article
# Grep articles from services and extract informations
# Used to debug services
if __name__ == "__main__":
if len(sys.argv) < 4 :
print("Please use # python beattest.py services.xml service url")
sys.exit(... | 26.977778 | 101 | 0.696046 |
e7b876f3135a73ac645437693c4874a6c9f2178e | 6,000 | py | Python | scripts/Discord-Scraper/SimpleRequests/SimpleRequestsPy3.py | kyle-rgb/Discord_Project | 1cbb1bb5a4a4bc8ac4529cfc537de20a1f058422 | [
"MIT"
] | 1 | 2020-11-18T00:28:52.000Z | 2020-11-18T00:28:52.000Z | scripts/Discord-Scraper/SimpleRequests/SimpleRequestsPy3.py | kyle-rgb/Discord_Project | 1cbb1bb5a4a4bc8ac4529cfc537de20a1f058422 | [
"MIT"
] | null | null | null | scripts/Discord-Scraper/SimpleRequests/SimpleRequestsPy3.py | kyle-rgb/Discord_Project | 1cbb1bb5a4a4bc8ac4529cfc537de20a1f058422 | [
"MIT"
] | 1 | 2021-02-07T17:52:29.000Z | 2021-02-07T17:52:29.000Z | # Give us access to http.client functions for network requests.
from http.client import HTTPConnection, HTTPSConnection, HTTPException
# Give us access to the OS module functions.
from os import makedirs, path
# Give us access to our basic SimpleRequests functions.
from .SimpleRequest import error
# Give us... | 30.769231 | 118 | 0.577167 |
e7b91ab1d3ab9d0a7daea23b33329529e9f148f8 | 5,262 | py | Python | setup.py | RafaelCenzano/backer | 695607462e1362307986c2d3c34dfbb2b1a816cd | [
"Apache-2.0"
] | null | null | null | setup.py | RafaelCenzano/backer | 695607462e1362307986c2d3c34dfbb2b1a816cd | [
"Apache-2.0"
] | null | null | null | setup.py | RafaelCenzano/backer | 695607462e1362307986c2d3c34dfbb2b1a816cd | [
"Apache-2.0"
] | null | null | null | #from setuptools import setup, find_packages
#from os import getcwd, path
import os
import sys
import json
import config
#currentDir = getcwd()
'''
# Get Readme text
with open(path.join(currentDir, 'README.md'), encoding='utf-8') as fR:
readme = fR.read()
'''
# Run setup
'''
setup(
# Project's name
name... | 31.321429 | 138 | 0.676359 |
e7ba6afcd29c252c66c5224bc72ef91b803fd6ff | 3,285 | py | Python | smida/models.py | dchaplinsky/ragoogle | dccb3d29334c3220ea12c46c725c443c8bd725c0 | [
"MIT"
] | 3 | 2018-06-10T21:20:56.000Z | 2021-04-04T11:21:06.000Z | smida/models.py | dchaplinsky/ragoogle | dccb3d29334c3220ea12c46c725c443c8bd725c0 | [
"MIT"
] | 7 | 2018-08-14T20:54:49.000Z | 2020-06-05T18:17:30.000Z | smida/models.py | dchaplinsky/ragoogle | dccb3d29334c3220ea12c46c725c443c8bd725c0 | [
"MIT"
] | 3 | 2018-06-27T12:53:13.000Z | 2020-09-25T19:41:46.000Z | import logging
from django.db import models
from django.urls import reverse
from abstract.models import AbstractDataset
from names_translator.name_utils import (
generate_all_names,
autocomplete_suggestions,
concat_name,
)
from abstract.tools.countries import COUNTRIES
from abstract.tools.stocks import ST... | 33.520408 | 98 | 0.571994 |
e7bdecb59192c20a3769338156f36e66c6aeb79a | 687 | py | Python | codenames/messages.py | dieret/codenames | dc4bf9c873c2bf96d7a0fd86bc46e570f9721f0f | [
"MIT"
] | null | null | null | codenames/messages.py | dieret/codenames | dc4bf9c873c2bf96d7a0fd86bc46e570f9721f0f | [
"MIT"
] | null | null | null | codenames/messages.py | dieret/codenames | dc4bf9c873c2bf96d7a0fd86bc46e570f9721f0f | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# std
from typing import List, Optional
# ours
from codenames.users import User
| 22.16129 | 66 | 0.615721 |
e7be6614443324013858185616d53e02b823673b | 152 | py | Python | data/contacts.py | MikhailDr/python_training | a30ef429eb968149285ee6b59a8e04069f62f92a | [
"Apache-2.0"
] | null | null | null | data/contacts.py | MikhailDr/python_training | a30ef429eb968149285ee6b59a8e04069f62f92a | [
"Apache-2.0"
] | null | null | null | data/contacts.py | MikhailDr/python_training | a30ef429eb968149285ee6b59a8e04069f62f92a | [
"Apache-2.0"
] | null | null | null | from model.contact import Contact
testdata = [
Contact(firstname="Mikhail", lastname="Kennett"),
Contact(firstname="Lily", lastname="Watson")
] | 25.333333 | 53 | 0.717105 |
e7beac69afa6afa1deed6ee2c349364797c9adca | 1,486 | py | Python | Scripts/Gnuplot/add_values.py | ciaid-colombia/InsFEM | be7eb35baa75c31e3b175e95286549ccd84f8d40 | [
"MIT"
] | 1 | 2021-11-24T08:19:54.000Z | 2021-11-24T08:19:54.000Z | Scripts/Gnuplot/add_values.py | ciaid-colombia/InsFEM | be7eb35baa75c31e3b175e95286549ccd84f8d40 | [
"MIT"
] | null | null | null | Scripts/Gnuplot/add_values.py | ciaid-colombia/InsFEM | be7eb35baa75c31e3b175e95286549ccd84f8d40 | [
"MIT"
] | null | null | null | from __future__ import division
import pylab as pl
import numpy as np
import os,re,sys,getopt
import numpy.ma as MA
#Arguments
data_file = sys.argv[1] #Folder name: file.gid
var_x = sys.argv[2] #Variable: variable to add value to
add_val = sys.argv[3] #Variable: value to add
cols = sys.argv[4] #Variable: ... | 28.037736 | 113 | 0.672275 |
e7c1545a0d568c7ffcd446eb0202a99e64ed40d0 | 8,953 | py | Python | src/model.py | beamimc/tcr-pmhc | d9fc1aa9ce6015970676cad070c49d7c6226918a | [
"MIT"
] | null | null | null | src/model.py | beamimc/tcr-pmhc | d9fc1aa9ce6015970676cad070c49d7c6226918a | [
"MIT"
] | null | null | null | src/model.py | beamimc/tcr-pmhc | d9fc1aa9ce6015970676cad070c49d7c6226918a | [
"MIT"
] | null | null | null | import glob
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn import metrics
from sklearn.metrics import f1_score, accuracy_score
from sklearn.metrics import roc_curve, confusion_matrix
import torch
import torch.nn as nn # All neural network modules, nn.Linear, nn.Conv2d, BatchNorm, ... | 38.590517 | 103 | 0.577683 |
e7c33b57e33d10a7f2bd559ec1a3c4c514bb414b | 153 | py | Python | tagger/data/__init__.py | XMUNLP/Tagger | 02e1fd323ac747bfe5f7b8824c6b416fd90f33a1 | [
"BSD-3-Clause"
] | 335 | 2017-12-08T07:14:32.000Z | 2022-03-01T15:22:26.000Z | tagger/data/__init__.py | XMUNLP/Tagger | 02e1fd323ac747bfe5f7b8824c6b416fd90f33a1 | [
"BSD-3-Clause"
] | 23 | 2018-03-27T01:59:19.000Z | 2022-02-15T16:15:57.000Z | tagger/data/__init__.py | XMUNLP/Tagger | 02e1fd323ac747bfe5f7b8824c6b416fd90f33a1 | [
"BSD-3-Clause"
] | 91 | 2017-12-08T07:14:34.000Z | 2021-12-16T23:19:42.000Z | from tagger.data.dataset import get_dataset
from tagger.data.vocab import load_vocabulary, lookup
from tagger.data.embedding import load_glove_embedding
| 38.25 | 54 | 0.869281 |
e7c3e7c276b064d382c47c8c47a4edd8d575b5ce | 7,047 | py | Python | api/tacticalrmm/winupdate/tasks.py | steroberts89/tacticalrmm | b2bca5fe1ccc22a7e9a419ce3af9319121d13d06 | [
"MIT"
] | null | null | null | api/tacticalrmm/winupdate/tasks.py | steroberts89/tacticalrmm | b2bca5fe1ccc22a7e9a419ce3af9319121d13d06 | [
"MIT"
] | null | null | null | api/tacticalrmm/winupdate/tasks.py | steroberts89/tacticalrmm | b2bca5fe1ccc22a7e9a419ce3af9319121d13d06 | [
"MIT"
] | null | null | null | from time import sleep
from django.utils import timezone as djangotime
from django.conf import settings
import datetime as dt
import pytz
from loguru import logger
from agents.models import Agent
from .models import WinUpdate
from tacticalrmm.celery import app
logger.configure(**settings.LOG_CONFIG)
| 34.714286 | 129 | 0.593018 |
e7c875adeb4ecacf414c747fdc41c161ac8f1e49 | 33,922 | py | Python | obsolete/reports/pipeline_chipseq/trackers/Motifs.py | kevinrue/cgat-flow | 02b5a1867253c2f6fd6b4f3763e0299115378913 | [
"MIT"
] | 49 | 2015-04-13T16:49:25.000Z | 2022-03-29T10:29:14.000Z | obsolete/reports/pipeline_chipseq/trackers/Motifs.py | kevinrue/cgat-flow | 02b5a1867253c2f6fd6b4f3763e0299115378913 | [
"MIT"
] | 252 | 2015-04-08T13:23:34.000Z | 2019-03-18T21:51:29.000Z | obsolete/reports/pipeline_chipseq/trackers/Motifs.py | kevinrue/cgat-flow | 02b5a1867253c2f6fd6b4f3763e0299115378913 | [
"MIT"
] | 22 | 2015-05-21T00:37:52.000Z | 2019-09-25T05:04:27.000Z | from ChipseqReport import *
import xml.etree.ElementTree
import Glam2
def computeMastCurve(evalues):
'''compute a MAST curve.
see http://www.nature.com/nbt/journal/v26/n12/extref/nbt.1508-S1.pdf
returns a tuple of arrays (evalues, with_motifs, explained )
'''
if len(evalues) == 0:
rais... | 32.933981 | 163 | 0.546224 |
e7c88489a28ff18baaa2156f3f5c8d2311eb8bce | 567 | py | Python | tests/unit_tests/test_tethys_config/test_apps.py | msouff/tethys | 45795d1e6561d5db8fddd838f4d1ae1d91dbb837 | [
"BSD-2-Clause"
] | 79 | 2015-10-05T13:13:28.000Z | 2022-02-01T12:30:33.000Z | tests/unit_tests/test_tethys_config/test_apps.py | msouff/tethys | 45795d1e6561d5db8fddd838f4d1ae1d91dbb837 | [
"BSD-2-Clause"
] | 542 | 2015-08-12T22:11:32.000Z | 2022-03-29T22:18:08.000Z | tests/unit_tests/test_tethys_config/test_apps.py | msouff/tethys | 45795d1e6561d5db8fddd838f4d1ae1d91dbb837 | [
"BSD-2-Clause"
] | 71 | 2016-01-16T01:03:41.000Z | 2022-03-31T17:55:54.000Z | import unittest
from django.apps import apps
from tethys_config.apps import TethysPortalConfig
| 24.652174 | 67 | 0.714286 |
e7c91da1c371ad1f5e70b4e2288d89a42550cc38 | 6,566 | py | Python | main.py | SameerSahu007/Street-Fighter-in-Pygame | 5826fe1c58b6e30d62696a1b3251f831fcb32495 | [
"CC0-1.0"
] | 1 | 2021-12-11T07:51:26.000Z | 2021-12-11T07:51:26.000Z | main.py | SameerSahu007/Street-Fighter-in-Pygame | 5826fe1c58b6e30d62696a1b3251f831fcb32495 | [
"CC0-1.0"
] | null | null | null | main.py | SameerSahu007/Street-Fighter-in-Pygame | 5826fe1c58b6e30d62696a1b3251f831fcb32495 | [
"CC0-1.0"
] | null | null | null | import pygame
import math
from pygame import mixer
import os
pygame.init()
WIDTH, HEIGHT = 800, 600
#create the screen
screen = pygame.display.set_mode((WIDTH , HEIGHT))
# Title and Icon
pygame.display.set_caption("Space Fighter")
icon = pygame.image.load(os.path.join('assets', 'icon.png'))
pygame.di... | 28.180258 | 137 | 0.583003 |
e7c92b00482e580e8ca5918a5b90b90b5f5a5cc8 | 68,133 | py | Python | pysnmp-with-texts/DOCS-RPHY-PTP-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 8 | 2019-05-09T17:04:00.000Z | 2021-06-09T06:50:51.000Z | pysnmp-with-texts/DOCS-RPHY-PTP-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 4 | 2019-05-31T16:42:59.000Z | 2020-01-31T21:57:17.000Z | pysnmp-with-texts/DOCS-RPHY-PTP-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module DOCS-RPHY-PTP-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/DOCS-RPHY-PTP-MIB
# Produced by pysmi-0.3.4 at Wed May 1 12:53:44 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Ma... | 191.923944 | 9,463 | 0.824857 |
e7c9cb369fe81130d100ee0e17c352a8ba036e48 | 3,749 | py | Python | reframechecks/memory/gpu_memory/single_node_gpu_memory_nvidia.py | reframe-hpc/hpctools | ad3efe478334fabb7f64aa3d1566c88e4c488aaf | [
"BSD-3-Clause"
] | 3 | 2020-02-18T12:48:08.000Z | 2021-02-06T01:43:30.000Z | reframechecks/memory/gpu_memory/single_node_gpu_memory_nvidia.py | reframe-hpc/hpctools | ad3efe478334fabb7f64aa3d1566c88e4c488aaf | [
"BSD-3-Clause"
] | 5 | 2020-03-28T11:59:57.000Z | 2020-08-28T08:46:02.000Z | reframechecks/memory/gpu_memory/single_node_gpu_memory_nvidia.py | reframe-hpc/hpctools | ad3efe478334fabb7f64aa3d1566c88e4c488aaf | [
"BSD-3-Clause"
] | 3 | 2020-03-17T16:10:56.000Z | 2020-07-10T06:24:34.000Z | import reframe as rfm
import reframe.utility.sanity as sn
| 37.49 | 79 | 0.597759 |
e7ca76d686d778ab68a8ea50474e8fef73a40fad | 2,150 | py | Python | icc/main.py | jinhopark8345/ICC | be0ee8fb36399b156427749c867d64524dff786e | [
"MIT"
] | null | null | null | icc/main.py | jinhopark8345/ICC | be0ee8fb36399b156427749c867d64524dff786e | [
"MIT"
] | 7 | 2020-09-28T07:17:58.000Z | 2020-11-25T08:00:08.000Z | icc/main.py | jinhopark8345/icc | be0ee8fb36399b156427749c867d64524dff786e | [
"MIT"
] | null | null | null | from flask import Flask, render_template
app = Flask(__name__)
from iccjson.jconnect import *
from recommend.compare_recipe import *
from recommend.recommend_recipe import *
from iccdb.db_manage import *
from gui.main_gui import *
# main_t()
# import tkinter as tk
# class IccGUI(tk.Frame):
# def __init__(self... | 25 | 78 | 0.673023 |
e7cab7e8f67e44347b904a6c808f5bc7f840496e | 2,054 | py | Python | tests/test_data.py | ig248/livehistoryplot | 9a13745baf76d898eea17751dfc01054aec36cfb | [
"MIT"
] | 1 | 2021-09-26T01:14:19.000Z | 2021-09-26T01:14:19.000Z | tests/test_data.py | ig248/livehistoryplot | 9a13745baf76d898eea17751dfc01054aec36cfb | [
"MIT"
] | 4 | 2019-10-21T18:23:56.000Z | 2020-06-02T03:08:59.000Z | tests/test_data.py | ig248/livehistoryplot | 9a13745baf76d898eea17751dfc01054aec36cfb | [
"MIT"
] | 2 | 2019-07-17T07:23:19.000Z | 2020-05-28T06:28:51.000Z | from kerashistoryplot.data import (get_metrics,
_get_batch_metric_vs_epoch,
get_metric_vs_epoch)
HISTORY = {
'batches': [
{
'batch': [0, 1],
'size': [300, 200],
'loss': [0.4, 0.3],
'mean_ab... | 29.342857 | 74 | 0.474197 |
e7cb0c928c378eb6c46f243f7b6ad0bbb91dd1de | 6,524 | py | Python | source/layers.py | kjm1559/vit | 7bb0c994672cdd22c014dc2b8f65cc341c3f165c | [
"MIT"
] | null | null | null | source/layers.py | kjm1559/vit | 7bb0c994672cdd22c014dc2b8f65cc341c3f165c | [
"MIT"
] | null | null | null | source/layers.py | kjm1559/vit | 7bb0c994672cdd22c014dc2b8f65cc341c3f165c | [
"MIT"
] | null | null | null | import tensorflow as tf
from tensorflow.keras.layers import Dense, LayerNormalization, Reshape, Permute, Dropout, GlobalAveragePooling1D, Embedding
from tensorflow.keras.activations import softmax, linear
import tensorflow.keras.backend as K
import numpy as np
def visionTransformer(input_dim, output_dim,... | 38.60355 | 126 | 0.603004 |
e7cbe02cf507fc33454c879df707df61de9c8f5c | 16,982 | py | Python | controller.py | kdschlosser/micropython_fastled | d924784e9c2226382f0e1adf1aa985267d79d42e | [
"MIT"
] | 10 | 2020-09-13T20:07:14.000Z | 2022-03-18T14:39:20.000Z | controller.py | kdschlosser/micropython_fastled | d924784e9c2226382f0e1adf1aa985267d79d42e | [
"MIT"
] | 1 | 2021-01-14T08:25:20.000Z | 2021-01-14T17:49:56.000Z | controller.py | kdschlosser/micropython_fastled | d924784e9c2226382f0e1adf1aa985267d79d42e | [
"MIT"
] | null | null | null |
# @file controller.h
# base definitions used by led controllers for writing out led data
from . import *
from .led_sysdefs import *
from .pixeltypes import *
from .color import *
from .lib8tion import *
from . import NO_DITHERING, FASTLED_SCALE8_FIXED, NO_CORRECTION
# operator byte *(struct CRGB[] arr) { ret... | 34.032064 | 119 | 0.597338 |
e7ccec7100b66766a04325a1823880bc81d9d844 | 185 | py | Python | digani/attr_func/state.py | ZwEin27/dig-attribute-name-identification | 669c2d4f66560e4085884a5d0c259390214ef69f | [
"Apache-2.0"
] | null | null | null | digani/attr_func/state.py | ZwEin27/dig-attribute-name-identification | 669c2d4f66560e4085884a5d0c259390214ef69f | [
"Apache-2.0"
] | null | null | null | digani/attr_func/state.py | ZwEin27/dig-attribute-name-identification | 669c2d4f66560e4085884a5d0c259390214ef69f | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# @Author: ZwEin
# @Date: 2016-07-08 13:48:24
# @Last Modified by: ZwEin
# @Last Modified time: 2016-07-08 13:48:34 | 23.125 | 42 | 0.643243 |
e7cdd4dc73f41ed2b84ee42ef38c2bba0c5d9e7b | 168 | py | Python | test/test_credit_calculator_full.py | Verstuk/pyton_for_testers | 67c78ba72a201126f5808dd142e3446e587e5f83 | [
"Apache-2.0"
] | null | null | null | test/test_credit_calculator_full.py | Verstuk/pyton_for_testers | 67c78ba72a201126f5808dd142e3446e587e5f83 | [
"Apache-2.0"
] | null | null | null | test/test_credit_calculator_full.py | Verstuk/pyton_for_testers | 67c78ba72a201126f5808dd142e3446e587e5f83 | [
"Apache-2.0"
] | null | null | null |
from model.group import Group
| 28 | 79 | 0.702381 |
e7ced5ef013aaf0952b010288b1d4c6719a64436 | 3,052 | py | Python | Python-client.py | zanda8893/Python-client-server | 5d11f31d98df021cc5d2625c4da4c461f7c13ba4 | [
"MIT"
] | 1 | 2019-12-20T08:02:17.000Z | 2019-12-20T08:02:17.000Z | Python-client.py | zanda8893/Python-client-server | 5d11f31d98df021cc5d2625c4da4c461f7c13ba4 | [
"MIT"
] | 3 | 2019-12-20T17:08:46.000Z | 2019-12-24T15:45:10.000Z | Python-client.py | zanda8893/Python-client-server | 5d11f31d98df021cc5d2625c4da4c461f7c13ba4 | [
"MIT"
] | null | null | null | from time import sleep
from threading import Thread
import socket
import datetime as datetime
from tkinter import *
#global varaibles
global run
global message
global gui
run=True
client = client()
gui = gui()
client.connect()
Thread(name='client-receive', target=client.receive, daemon=True).start()
gui.messaging()
... | 29.921569 | 130 | 0.579948 |
e7cee237e4c2e2fcc39805a7da646d27ab0850ce | 169 | py | Python | harness/python/ext/__init__.py | tonyfast/tidy-harness | 905bb7e980d1c962a3cda97d0056ca1e2e88852a | [
"BSD-3-Clause"
] | 4 | 2016-11-06T17:54:12.000Z | 2017-03-08T13:37:20.000Z | harness/python/ext/__init__.py | tonyfast/tidy-harness | 905bb7e980d1c962a3cda97d0056ca1e2e88852a | [
"BSD-3-Clause"
] | null | null | null | harness/python/ext/__init__.py | tonyfast/tidy-harness | 905bb7e980d1c962a3cda97d0056ca1e2e88852a | [
"BSD-3-Clause"
] | null | null | null |
# coding: utf-8
# In[3]:
try:
from .base import HarnessExtension
except:
from harness.python.ext.base import HarnessExtension
__all__ = ['HarnessExtension']
| 14.083333 | 56 | 0.715976 |
e7cf3dbcfabe4cb4e8148257f03c311d71e1b1fd | 1,734 | py | Python | dash-asynchronous.py | cswarth/dash-recipes | 5724a663dfe1d7aaee8c20e124abc1bd66cd2398 | [
"MIT"
] | null | null | null | dash-asynchronous.py | cswarth/dash-recipes | 5724a663dfe1d7aaee8c20e124abc1bd66cd2398 | [
"MIT"
] | null | null | null | dash-asynchronous.py | cswarth/dash-recipes | 5724a663dfe1d7aaee8c20e124abc1bd66cd2398 | [
"MIT"
] | null | null | null | import dash
from dash.dependencies import Input, Output
import dash_core_components as dcc
import dash_html_components as html
import logging
import datetime
import time
semaphore = Semaphore()
app = dash.Dash()
app.logger.setLevel(logging.DEBUG)
app.layout = layout
app.scripts.config.serve_locally = True
if __na... | 25.130435 | 80 | 0.634371 |
e7cf4685a8206b12d923f82813a63fb38ac41398 | 2,455 | py | Python | irco/countries.py | GaretJax/irco | e5df3cf1a608dc813011a1ee7e920637e5bd155c | [
"MIT"
] | null | null | null | irco/countries.py | GaretJax/irco | e5df3cf1a608dc813011a1ee7e920637e5bd155c | [
"MIT"
] | null | null | null | irco/countries.py | GaretJax/irco | e5df3cf1a608dc813011a1ee7e920637e5bd155c | [
"MIT"
] | 1 | 2015-12-17T19:18:28.000Z | 2015-12-17T19:18:28.000Z | import pycountry
from irco import logging
_cache = {}
log = logging.get_logger()
NAMES = {c.name.lower(): c for c in pycountry.countries.objects}
SUBDIVISIONS = {s.name.lower(): s for s in pycountry.subdivisions.objects}
PREFIXES = set([
'Republic of',
])
REPLACEMENTS = {
'South Korea': 'Korea, Republic of... | 29.578313 | 79 | 0.559267 |
e7cf7ba0b15891237f5fbb5ea5a2112c17fcf8a2 | 2,095 | py | Python | nerds/test/test_crf_ner_model.py | elsevierlabs-os/nerds | 9c4f32a51e3e08c802498dc88b5f6367c9d2df2d | [
"BSD-3-Clause"
] | 19 | 2018-07-06T10:09:37.000Z | 2020-11-27T18:14:42.000Z | nerds_orig/test/test_crf_ner_model.py | Banguiskode/nerds | 366420b2ec57bf790562de62a79f4973cbd6b3ed | [
"BSD-3-Clause"
] | 6 | 2018-12-28T12:14:12.000Z | 2020-04-22T14:09:12.000Z | nerds/test/test_crf_ner_model.py | elsevierlabs-os/nerds | 9c4f32a51e3e08c802498dc88b5f6367c9d2df2d | [
"BSD-3-Clause"
] | 8 | 2018-07-14T16:50:28.000Z | 2020-11-25T08:03:24.000Z | from nose.tools import assert_equal
from nerds.core.model.input.annotation import Annotation
from nerds.core.model.input.document import Document, AnnotatedDocument
from nerds.core.model.ner.crf import CRF
| 33.790323 | 76 | 0.666826 |
e7d01d5596c98267e2d849c7a50050a61e7e8fda | 370 | py | Python | rooms/urls.py | nahidsaikat/reservation | 7b4856b67072f90e2a126cc55c484e0d8bf601d4 | [
"MIT"
] | null | null | null | rooms/urls.py | nahidsaikat/reservation | 7b4856b67072f90e2a126cc55c484e0d8bf601d4 | [
"MIT"
] | null | null | null | rooms/urls.py | nahidsaikat/reservation | 7b4856b67072f90e2a126cc55c484e0d8bf601d4 | [
"MIT"
] | null | null | null | from django.urls import include, path
from rest_framework.routers import DefaultRouter
from rooms import views
# Create a router and register our viewsets with it.
router = DefaultRouter()
router.register(r"room", views.RoomViewSet, basename="room")
# The API URLs are now determined automatically by the router.
urlp... | 26.428571 | 62 | 0.767568 |
e7d0bc956106a3ee9212b18cb8dd13641746fef0 | 3,781 | py | Python | hyperion/bin/keras-eval-pdda-1vs1.py | jsalt2019-diadet/hyperion | 14a11436d62f3c15cd9b1f70bcce3eafbea2f753 | [
"Apache-2.0"
] | 9 | 2019-09-22T05:19:59.000Z | 2022-03-05T18:03:37.000Z | hyperion/bin/keras-eval-pdda-1vs1.py | jsalt2019-diadet/hyperion | 14a11436d62f3c15cd9b1f70bcce3eafbea2f753 | [
"Apache-2.0"
] | null | null | null | hyperion/bin/keras-eval-pdda-1vs1.py | jsalt2019-diadet/hyperion | 14a11436d62f3c15cd9b1f70bcce3eafbea2f753 | [
"Apache-2.0"
] | 4 | 2019-10-10T06:34:05.000Z | 2022-03-05T18:03:56.000Z | #!/usr/bin/env python
"""
Copyright 2018 Johns Hopkins University (Author: Jesus Villalba)
Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""
"""
Evals PDDA LLR
"""
from __future__ import absolute_import
from __future__ import print_function
from __future__ import division
from six.moves import xrange
imp... | 34.372727 | 101 | 0.67945 |
e7d1544000c33210fecbad84ef0dea3376828748 | 2,239 | py | Python | main.py | PomeloWang/opensearch-index-rotate | 78872a0bd2d24e1430987ec6cf60ca01643056f4 | [
"MIT"
] | null | null | null | main.py | PomeloWang/opensearch-index-rotate | 78872a0bd2d24e1430987ec6cf60ca01643056f4 | [
"MIT"
] | null | null | null | main.py | PomeloWang/opensearch-index-rotate | 78872a0bd2d24e1430987ec6cf60ca01643056f4 | [
"MIT"
] | null | null | null | import re
import typing
import logging
import argparse
from opensearchpy import OpenSearch
from datetime import datetime
_version = "0.0.1"
_project_name = "opensearch-index-rotate"
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(f"{_project_name}-{_version}")
if __name__ == "__main__":
p... | 30.671233 | 82 | 0.671728 |
e7d22ca2712d191a88cf00a9683dd5820d828e32 | 1,912 | py | Python | src/trellisdata/database_query.py | StanfordBioinformatics/trellisdata | b866180979a39a9649bd5d1a292acbb234b18066 | [
"MIT"
] | null | null | null | src/trellisdata/database_query.py | StanfordBioinformatics/trellisdata | b866180979a39a9649bd5d1a292acbb234b18066 | [
"MIT"
] | null | null | null | src/trellisdata/database_query.py | StanfordBioinformatics/trellisdata | b866180979a39a9649bd5d1a292acbb234b18066 | [
"MIT"
] | null | null | null | import yaml
#import ruamel.yaml
| 32.40678 | 105 | 0.732741 |
e7d469a2b915f57d7024559e17cd3d524efd509a | 144 | py | Python | config.sample.py | talyguryn/watcher | dc491179f544ec7a120f82b19a67f69a6bed39bc | [
"MIT"
] | null | null | null | config.sample.py | talyguryn/watcher | dc491179f544ec7a120f82b19a67f69a6bed39bc | [
"MIT"
] | null | null | null | config.sample.py | talyguryn/watcher | dc491179f544ec7a120f82b19a67f69a6bed39bc | [
"MIT"
] | 1 | 2019-05-24T19:41:47.000Z | 2019-05-24T19:41:47.000Z | # Domains list
DOMAINS = [
{ 'url': 'https://ifmo.su', 'message': '@guryn' }
]
# Notifications link from https://t.me/wbhkbot
WEBHOOK = ''
| 18 | 53 | 0.604167 |
e7d6c85737b989047b510d19ae1cf5d243f04bf4 | 8,143 | py | Python | billing/tests/test_customer.py | hkhanna/django-stripe-billing | 75a53c183ff86b1c7edf741683ffe3330e733d87 | [
"MIT"
] | 1 | 2022-03-29T20:16:34.000Z | 2022-03-29T20:16:34.000Z | billing/tests/test_customer.py | hkhanna/django-stripe-billing | 75a53c183ff86b1c7edf741683ffe3330e733d87 | [
"MIT"
] | 2 | 2022-02-21T17:38:22.000Z | 2022-02-22T20:56:39.000Z | billing/tests/test_customer.py | hkhanna/django-stripe-billing | 75a53c183ff86b1c7edf741683ffe3330e733d87 | [
"MIT"
] | null | null | null | """Tests related to automatic Customer creation and model constraints."""
# A customer is automatically created if a user does not have one, and it accomplishes this via signals.
# We also have some model constraints we want to test.
import pytest
from datetime import timedelta
from django.contrib.auth import get_use... | 32.442231 | 131 | 0.675672 |
e7d86e13c0223baf6941b530f92dd1ca66b17550 | 10,653 | py | Python | src/visual.py | rmill040/eda_viewer | d236b8a4b29d62dac54ac669baeb6d62f223efc9 | [
"MIT"
] | null | null | null | src/visual.py | rmill040/eda_viewer | d236b8a4b29d62dac54ac669baeb6d62f223efc9 | [
"MIT"
] | null | null | null | src/visual.py | rmill040/eda_viewer | d236b8a4b29d62dac54ac669baeb6d62f223efc9 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Import libraries from api
from visual_api import *
| 36.608247 | 112 | 0.511217 |
e7d8947e25eaf960adfcdd3cb4049a848205e153 | 3,788 | py | Python | python/open3d/realsense_pcd_viewer.py | NobuoTsukamoto/realsense_examples | 210006ec43ab4d5aee179558dae571044ab60fcc | [
"MIT"
] | 3 | 2020-08-28T12:50:32.000Z | 2021-05-26T16:48:27.000Z | python/open3d/realsense_pcd_viewer.py | NobuoTsukamoto/realsense_examples | 210006ec43ab4d5aee179558dae571044ab60fcc | [
"MIT"
] | 1 | 2021-03-02T23:38:32.000Z | 2021-03-03T12:53:52.000Z | python/open3d/realsense_pcd_viewer.py | NobuoTsukamoto/realsense_examples | 210006ec43ab4d5aee179558dae571044ab60fcc | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
RealSense PCD Viewer with Open3D.
Copyright (c) 2021 Nobuo Tsukamoto
This software is released under the MIT License.
See the LICENSE file in the project root for more information.
"""
import argparse
import json
import os
import numpy as np
import ... | 32.101695 | 87 | 0.626452 |
e7db8492475b75a00d0010b8cfc1881824df5024 | 14,511 | py | Python | multiplication.py | iAnatoly/multiplication | 221d7cd2dd8c2d5ac4440568a4368b5f34f914ac | [
"Apache-2.0"
] | 1 | 2019-04-17T19:17:23.000Z | 2019-04-17T19:17:23.000Z | multiplication.py | iAnatoly/multiplication | 221d7cd2dd8c2d5ac4440568a4368b5f34f914ac | [
"Apache-2.0"
] | null | null | null | multiplication.py | iAnatoly/multiplication | 221d7cd2dd8c2d5ac4440568a4368b5f34f914ac | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
#
# This script is free for use and redistribution in educational purposes.
# See https://github.com/iAnatoly/multiplication/ for more info.
#
# email notification configuration is defined in multiplication.config
import random
import os
import sys
import smtplib
import ConfigParser
from email.mime.t... | 33.130137 | 260 | 0.585142 |
e7dbf4a8467a3dde1ae0fe118924ed4a28a6d8d3 | 2,426 | py | Python | scripts/reformat_unmapped_primers.py | fulcrumgenomics/fg-idprimer | 0f31c49057ca86df5ebf087fb58a44a1cf2f5ce1 | [
"MIT"
] | 1 | 2019-03-27T21:50:53.000Z | 2019-03-27T21:50:53.000Z | scripts/reformat_unmapped_primers.py | fulcrumgenomics/fg-idprimer | 0f31c49057ca86df5ebf087fb58a44a1cf2f5ce1 | [
"MIT"
] | 10 | 2018-11-02T23:04:40.000Z | 2019-10-15T20:24:40.000Z | scripts/reformat_unmapped_primers.py | fulcrumgenomics/fg-idprimer | 0f31c49057ca86df5ebf087fb58a44a1cf2f5ce1 | [
"MIT"
] | 1 | 2019-03-27T20:54:41.000Z | 2019-03-27T20:54:41.000Z | #!/usr/bin/env python3
from pathlib import Path
import defopt
def main(*, in_primers: Path,
out_primers: Path,
forward_names: List[str] = ['SP1', '1'],
reverse_names: List[str] = ['SP2', '-1']) -> None:
'''Reformats unmapped primers for use with fgbio's IdentifyPrimers.
The in... | 44.109091 | 101 | 0.62366 |
e7dcf750c3fed9535d22a6585b042fbd4e5bb8e3 | 4,306 | py | Python | jenkins.py | shoy160/python-tools | 4212322ec5c18f559417fe9e1381328e7ec333ab | [
"Apache-2.0"
] | null | null | null | jenkins.py | shoy160/python-tools | 4212322ec5c18f559417fe9e1381328e7ec333ab | [
"Apache-2.0"
] | 5 | 2020-06-17T08:16:56.000Z | 2022-02-10T01:49:30.000Z | jenkins.py | shoy160/python-tools | 4212322ec5c18f559417fe9e1381328e7ec333ab | [
"Apache-2.0"
] | null | null | null | import requests
import sys
import getopt
import time
requests.adapters.DEFAULT_RETRIES = 5 #
HOST = 'http://jenkins.local'
CRUMB = 'a0854aedfb3062b192f80d648b9d2b45'
COOKIE = 'jenkins-timestamper-offset=-28800000; ACEGI_SECURITY_HASHED_REMEMBER_ME_COOKIE=c2hheToxNTkyMzg0MjU0NTE2OmNmZTk0YmRjMDg1NWFmNWQ1ZjQ1MzY2ODI5ZD... | 33.123077 | 292 | 0.534371 |
e7dd7b060a46fd4c552b6f9a551306db94f44c9a | 924 | tac | Python | 6 复试/2 笔试/4 编译原理/编原/hw/2015_刘智峰_PA/PA3/TestCases/S3/output/test_q2.tac | ladike/912_project | 5178c1c93ac6ca30ffc72dd689f5c6932704b4ab | [
"MIT"
] | 1 | 2022-03-02T16:05:49.000Z | 2022-03-02T16:05:49.000Z | 6 复试/2 笔试/4 编译原理/编原/hw/2015_刘智峰_PA/PA3/TestCases/S3/output/test_q2.tac | ladike/912_project | 5178c1c93ac6ca30ffc72dd689f5c6932704b4ab | [
"MIT"
] | null | null | null | 6 复试/2 笔试/4 编译原理/编原/hw/2015_刘智峰_PA/PA3/TestCases/S3/output/test_q2.tac | ladike/912_project | 5178c1c93ac6ca30ffc72dd689f5c6932704b4ab | [
"MIT"
] | null | null | null | VTABLE(_Main) {
<empty>
Main
}
FUNCTION(_Main_New) {
memo ''
_Main_New:
_T1 = 4
parm _T1
_T2 = call _Alloc
_T3 = VTBL <_Main>
*(_T2 + 0) = _T3
return _T2
}
FUNCTION(main) {
memo ''
main:
_T7 = 1
_T5 = _T7
_T8 = 2
_T6 = _T8
_T9 = 1
_T4 = _T9
_T10 = 3
_T1... | 14.4375 | 30 | 0.508658 |
e7dd901a743dd265775faa4ee6e7731fa2589461 | 892 | py | Python | binatron.py | tosi-n/BITRON | 2bd5769e1ae8edb4d6bbc5b95285f19105984cc0 | [
"MIT"
] | 1 | 2020-11-11T14:24:47.000Z | 2020-11-11T14:24:47.000Z | binatron.py | tosi-n/BITRON | 2bd5769e1ae8edb4d6bbc5b95285f19105984cc0 | [
"MIT"
] | 4 | 2021-06-08T21:14:36.000Z | 2022-03-12T00:23:24.000Z | binatron.py | tosi-n/BITRON | 2bd5769e1ae8edb4d6bbc5b95285f19105984cc0 | [
"MIT"
] | null | null | null | # Tosin Dairo
# /Module for Binary Classification
from classification import ClassificationModel
import pandas as pd
import logging
import sklearn
# import fire
eval_df = pd.read_csv('/Volumes/Loopdisk/Bi_Transformer/data/dev.csv', sep='\t')
eval_df = eval_df[['0', '1']]
eval_df['0'] = eval_df['0'].astype(str)
mo... | 25.485714 | 104 | 0.705157 |
e7deb1679af25d09e1d50c1052e387e2a3fc381d | 26,463 | py | Python | src/sphinx_c_autodoc/__init__.py | speedyleion/sphinx-c-doc | 65721f7164a463742bc2d0b18a92b2d633a5eb3a | [
"MIT",
"Unlicense"
] | 7 | 2020-06-06T06:47:31.000Z | 2021-12-12T14:18:08.000Z | src/sphinx_c_autodoc/__init__.py | speedyleion/sphinx-c-doc | 65721f7164a463742bc2d0b18a92b2d633a5eb3a | [
"MIT",
"Unlicense"
] | 15 | 2020-03-12T01:43:24.000Z | 2021-04-21T06:45:13.000Z | src/sphinx_c_autodoc/__init__.py | speedyleion/sphinx-c-doc | 65721f7164a463742bc2d0b18a92b2d633a5eb3a | [
"MIT",
"Unlicense"
] | 1 | 2021-08-05T20:23:01.000Z | 2021-08-05T20:23:01.000Z | """
sphinx_c_autodoc is a package which provide c source file parsing for sphinx.
It is composed of multiple directives and settings:
.. rst:directive:: .. c:module:: filename
A directive to document a c file. This is similar to :rst:dir:`py:module`
except it's for the C domain. This can be used for both c... | 33.970475 | 109 | 0.619733 |
e7df50dbe0b02f791f3b141f564aba28825ae59c | 2,205 | py | Python | odoo-13.0/addons/l10n_mx/models/account.py | VaibhavBhujade/Blockchain-ERP-interoperability | b5190a037fb6615386f7cbad024d51b0abd4ba03 | [
"MIT"
] | null | null | null | odoo-13.0/addons/l10n_mx/models/account.py | VaibhavBhujade/Blockchain-ERP-interoperability | b5190a037fb6615386f7cbad024d51b0abd4ba03 | [
"MIT"
] | null | null | null | odoo-13.0/addons/l10n_mx/models/account.py | VaibhavBhujade/Blockchain-ERP-interoperability | b5190a037fb6615386f7cbad024d51b0abd4ba03 | [
"MIT"
] | null | null | null | # coding: utf-8
# Copyright 2016 Vauxoo (https://www.vauxoo.com) <info@vauxoo.com>
# License LGPL-3.0 or later (http://www.gnu.org/licenses/lgpl).
import re
from odoo import models, api, fields, _
| 36.75 | 102 | 0.606803 |
e7e089613ccfe0324f946b6e7045fe1c57e1d223 | 11 | py | Python | demo.py | OddBloke/RustPython | a40ef57ba4dddc18f9f5a9ba5224203f4a983ed6 | [
"MIT"
] | null | null | null | demo.py | OddBloke/RustPython | a40ef57ba4dddc18f9f5a9ba5224203f4a983ed6 | [
"MIT"
] | null | null | null | demo.py | OddBloke/RustPython | a40ef57ba4dddc18f9f5a9ba5224203f4a983ed6 | [
"MIT"
] | null | null | null |
print(42)
| 3.666667 | 9 | 0.636364 |
e7e23c2283ceafe400bbd5709d693c3053fcfe61 | 9,852 | py | Python | 2d_navigation/dynamical_system/modulation.py | nbfigueroa/RoCUS | f1e1a538a2d0d12d307d9a003c4a2d5bcadcb30f | [
"MIT"
] | null | null | null | 2d_navigation/dynamical_system/modulation.py | nbfigueroa/RoCUS | f1e1a538a2d0d12d307d9a003c4a2d5bcadcb30f | [
"MIT"
] | null | null | null | 2d_navigation/dynamical_system/modulation.py | nbfigueroa/RoCUS | f1e1a538a2d0d12d307d9a003c4a2d5bcadcb30f | [
"MIT"
] | null | null | null |
import sys
import numpy as np
| 35.695652 | 104 | 0.663216 |
e7e2634573cae71ca54a22103a862f4b99ae8ac4 | 89 | py | Python | opensda_flasher/utilities.py | jed-frey/opensda_flasher | aef0bddb5aa56f4e3aeffe76cf1b6c9491125529 | [
"BSD-3-Clause"
] | 8 | 2017-09-25T07:43:34.000Z | 2019-12-13T14:03:26.000Z | opensda_flasher/utilities.py | jed-frey/opensda_flasher | aef0bddb5aa56f4e3aeffe76cf1b6c9491125529 | [
"BSD-3-Clause"
] | 1 | 2017-09-25T20:15:05.000Z | 2017-10-06T00:32:05.000Z | opensda_flasher/utilities.py | dapperfu/opensda_flasher | aef0bddb5aa56f4e3aeffe76cf1b6c9491125529 | [
"BSD-3-Clause"
] | 2 | 2017-09-25T12:50:40.000Z | 2017-09-27T21:23:19.000Z | """Module Utilities."""
import os
path = os.path.abspath(os.path.dirname(__file__))
| 17.8 | 50 | 0.685393 |
e7e2f0d8909d8aded4b234668a35a9bea452ea64 | 514 | py | Python | src/bromine/exceptions.py | Etiqa/bromine | cabf0931f5a06796c26fdc7fb9f7ecf147554fd5 | [
"BSD-2-Clause"
] | 2 | 2018-09-20T12:37:01.000Z | 2021-08-30T14:44:25.000Z | src/bromine/exceptions.py | Etiqa/bromine | cabf0931f5a06796c26fdc7fb9f7ecf147554fd5 | [
"BSD-2-Clause"
] | null | null | null | src/bromine/exceptions.py | Etiqa/bromine | cabf0931f5a06796c26fdc7fb9f7ecf147554fd5 | [
"BSD-2-Clause"
] | null | null | null | """
Global Bromine exception and warning classes.
"""
from selenium.common.exceptions import (NoSuchElementException, # pylint: disable=unused-import
StaleElementReferenceException,
TimeoutException)
| 32.125 | 96 | 0.663424 |
99ad1c9d3ca2ba09ee8615a5daa54f0c9b686fa1 | 5,800 | py | Python | code/group_test_simulations/test_on_simulated_population.py | cleary-lab/covid19-group-tests | 89b383390509423ca05ba89df984f9b01f912c20 | [
"MIT"
] | 1 | 2020-11-28T20:53:43.000Z | 2020-11-28T20:53:43.000Z | code/group_test_simulations/test_on_simulated_population.py | cleary-lab/covid19-group-tests | 89b383390509423ca05ba89df984f9b01f912c20 | [
"MIT"
] | null | null | null | code/group_test_simulations/test_on_simulated_population.py | cleary-lab/covid19-group-tests | 89b383390509423ca05ba89df984f9b01f912c20 | [
"MIT"
] | null | null | null | import numpy as np
from scipy.stats import poisson
from scipy.sparse import load_npz
import glob,os
import argparse
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--viral-load-matrix', help='Path to viral load matrix (individuals x time points) in sparse format')
parser.add_argum... | 42.647059 | 187 | 0.713103 |
99ae644f99800ddc1a11654f8839f0d5a32165ef | 18,963 | py | Python | kronos_modeller/kronos_modeller/logreader/scheduler_reader.py | ecmwf/kronos | 4f8c896baa634fc937f866d2bd05b438106c1663 | [
"Apache-2.0"
] | 4 | 2020-09-15T15:16:17.000Z | 2021-08-17T14:02:28.000Z | kronos_modeller/kronos_modeller/logreader/scheduler_reader.py | ecmwf/kronos | 4f8c896baa634fc937f866d2bd05b438106c1663 | [
"Apache-2.0"
] | 4 | 2020-09-12T07:22:35.000Z | 2020-10-13T17:08:35.000Z | kronos_modeller/kronos_modeller/logreader/scheduler_reader.py | ecmwf/kronos | 4f8c896baa634fc937f866d2bd05b438106c1663 | [
"Apache-2.0"
] | null | null | null | # (C) Copyright 1996-2018 ECMWF.
#
# This software is licensed under the terms of the Apache Licence Version 2.0
# which can be obtained at http://www.apache.org/licenses/LICENSE-2.0.
# In applying this licence, ECMWF does not waive the privileges and immunities
# granted to it by virtue of its status as an intergov... | 35.116667 | 112 | 0.551495 |
99af3070370c3b832ba00e5ad0d751d816e04a44 | 503 | py | Python | problems/alphabet_war.py | stereoabuse/codewars | d6437afaef38c3601903891b8b9cb0f84c108c54 | [
"MIT"
] | null | null | null | problems/alphabet_war.py | stereoabuse/codewars | d6437afaef38c3601903891b8b9cb0f84c108c54 | [
"MIT"
] | null | null | null | problems/alphabet_war.py | stereoabuse/codewars | d6437afaef38c3601903891b8b9cb0f84c108c54 | [
"MIT"
] | null | null | null | ## Alphabet war
## 7 kyu
## https://www.codewars.com/kata/59377c53e66267c8f6000027
| 26.473684 | 59 | 0.530815 |
99b02eb168229b1ffb9c68b8ad493dabf5f9c87c | 7,151 | py | Python | tools/parse_log.py | KyleHai/DeepSpeech2 | 44884426e213b6d5440914882064c9142b6ea7a3 | [
"BSD-3-Clause"
] | 158 | 2018-03-28T21:58:07.000Z | 2022-02-22T00:49:46.000Z | tools/parse_log.py | KyleHai/DeepSpeech2 | 44884426e213b6d5440914882064c9142b6ea7a3 | [
"BSD-3-Clause"
] | 35 | 2018-09-03T21:27:15.000Z | 2019-05-11T02:17:49.000Z | tools/parse_log.py | KyleHai/DeepSpeech2 | 44884426e213b6d5440914882064c9142b6ea7a3 | [
"BSD-3-Clause"
] | 22 | 2017-09-21T07:47:30.000Z | 2021-09-16T11:22:01.000Z | import fileinput as fin
# funcs:
# variables:
lines = []
module_rnncell = "CustomRNNCell2"
module_grad = 'gradients'
num_rnn_layer = 7
rnn_cell_string = "cell_"
module_rnn = 'rnn'
module_conv1 = 'conv1'
module_conv2 = 'conv2'
module_softmax = 'softmax_linear'
module_ctc = ['ctc_loss', 'CTCLoss']
module_bn = 'bn2'
rn... | 32.504545 | 141 | 0.66704 |
99b0b3354b8eb9cccccec316dbff5d9e280269c3 | 3,883 | py | Python | sps/sps/report/contract_posting/contract_posting.py | tushar7724/SPS | 4a32b740830117327b3597d4e16127ac0a90a3ef | [
"MIT"
] | null | null | null | sps/sps/report/contract_posting/contract_posting.py | tushar7724/SPS | 4a32b740830117327b3597d4e16127ac0a90a3ef | [
"MIT"
] | null | null | null | sps/sps/report/contract_posting/contract_posting.py | tushar7724/SPS | 4a32b740830117327b3597d4e16127ac0a90a3ef | [
"MIT"
] | null | null | null | # Copyright (c) 2013, TUSHAR TAJNE and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe import _
| 53.930556 | 225 | 0.618079 |
99b0ba7f03b2766d824e986ab5fb96ab8c0fa7e0 | 928 | py | Python | api_client/auth.py | ciandt-d1/cvtool-ingestion-pipeline | 10602668fe5980a577032c85f16f0a12262d5ea6 | [
"Apache-2.0"
] | null | null | null | api_client/auth.py | ciandt-d1/cvtool-ingestion-pipeline | 10602668fe5980a577032c85f16f0a12262d5ea6 | [
"Apache-2.0"
] | null | null | null | api_client/auth.py | ciandt-d1/cvtool-ingestion-pipeline | 10602668fe5980a577032c85f16f0a12262d5ea6 | [
"Apache-2.0"
] | null | null | null | import base64
import json
import time
from google.appengine.api import app_identity
DEFAULT_SERVICE_ACCOUNT = app_identity.get_service_account_name()
def generate_jwt():
"""Generates a signed JSON Web Token using the Google App Engine default
service account."""
now = int(time.time())
header_json =... | 27.294118 | 116 | 0.677802 |
99b3045cad2b02c487f592e3a12fefd9366714c0 | 65 | py | Python | src/__init__.py | neuront/jtrans | 291e04deac061c1848484bb5f80bcfec0d910d6c | [
"MIT"
] | 1 | 2018-10-31T02:12:01.000Z | 2018-10-31T02:12:01.000Z | src/__init__.py | neuront/jtrans | 291e04deac061c1848484bb5f80bcfec0d910d6c | [
"MIT"
] | null | null | null | src/__init__.py | neuront/jtrans | 291e04deac061c1848484bb5f80bcfec0d910d6c | [
"MIT"
] | null | null | null | __version__ = '0.0.3'
REPO = 'https://github.com/neuront/jtrans'
| 21.666667 | 42 | 0.692308 |
99b3ede6b3c6096b7a85dbe8a78e3d96b008603a | 22,046 | py | Python | py_dp/dispersion/dispersion_models_1d.py | amirdel/dispersion-continua | 2e1f7a3fbfcdc0b27c546cb0ae51a628a926ad60 | [
"0BSD"
] | 1 | 2019-12-23T14:35:43.000Z | 2019-12-23T14:35:43.000Z | py_dp/dispersion/dispersion_models_1d.py | amirdel/dispersion-continua | 2e1f7a3fbfcdc0b27c546cb0ae51a628a926ad60 | [
"0BSD"
] | null | null | null | py_dp/dispersion/dispersion_models_1d.py | amirdel/dispersion-continua | 2e1f7a3fbfcdc0b27c546cb0ae51a628a926ad60 | [
"0BSD"
] | 1 | 2019-12-23T14:34:43.000Z | 2019-12-23T14:34:43.000Z | # Copyright 2017 Amir Hossein Delgoshaie, amirdel@stanford.edu
#
# Permission to use, copy, modify, and/or distribute this software for any purpose with or without fee
# is hereby granted, provided that the above copyright notice and this permission notice appear in all
# copies.
#
# THE SOFTWARE IS PROVIDED "AS IS" AN... | 40.750462 | 105 | 0.624966 |
99b3f30ef4b1ee0e9c7160d19e8567d047b8c14c | 3,895 | py | Python | PhotoShowcase/photolibrary.py | Reinhardtlotter/Valen-s-Repository-Tri-3 | b3259eccd41e9dbcc46587a9c9d8e0a75de196b3 | [
"MIT"
] | null | null | null | PhotoShowcase/photolibrary.py | Reinhardtlotter/Valen-s-Repository-Tri-3 | b3259eccd41e9dbcc46587a9c9d8e0a75de196b3 | [
"MIT"
] | null | null | null | PhotoShowcase/photolibrary.py | Reinhardtlotter/Valen-s-Repository-Tri-3 | b3259eccd41e9dbcc46587a9c9d8e0a75de196b3 | [
"MIT"
] | null | null | null |
from __future__ import print_function
import os.path
from google.auth.transport.requests import Request
from google.oauth2.credentials import Credentials
import google_auth_oauthlib
from google_auth_oauthlib.flow import InstalledAppFlow
from googleapiclient.discovery import build
from googleapiclient.erro... | 34.469027 | 102 | 0.654942 |
99b421b8fc3c77a78c8b42d4e7d8dc9eab6fdc76 | 4,767 | py | Python | SimpleSAC/sampler.py | chethus/CQL | 9cceb35fe220ae517bc87ae219704d6eca409566 | [
"MIT"
] | null | null | null | SimpleSAC/sampler.py | chethus/CQL | 9cceb35fe220ae517bc87ae219704d6eca409566 | [
"MIT"
] | null | null | null | SimpleSAC/sampler.py | chethus/CQL | 9cceb35fe220ae517bc87ae219704d6eca409566 | [
"MIT"
] | null | null | null | import numpy as np
from collections import defaultdict
from .utils import flatten_dict
| 37.242188 | 102 | 0.550451 |
99b439817790c7610ae8a7e8b0e92d675cac1d00 | 2,156 | py | Python | example.py | Til-Piffl/RAVE_SelectionFunction | 0971f2578f9a474c1f0997109057b1967b276c3d | [
"MIT"
] | null | null | null | example.py | Til-Piffl/RAVE_SelectionFunction | 0971f2578f9a474c1f0997109057b1967b276c3d | [
"MIT"
] | null | null | null | example.py | Til-Piffl/RAVE_SelectionFunction | 0971f2578f9a474c1f0997109057b1967b276c3d | [
"MIT"
] | null | null | null | import pyRAVE
import numpy as np
import healpy
# Load RAVE data
RAVE = pyRAVE.readCSV('RAVE_DR4.csv')
# =======================================================
# Selection criteria by the user
user_select = np.ones(len(RAVE['rave_obs_id']),dtype=bool) # all entries
user_select = (RAVE['snr_k']>20) &\
(... | 32.179104 | 77 | 0.583952 |
99b571a1d7e93b4bc38a531353fff75fb6b0092f | 365 | py | Python | topic/templatetags/recent_reply.py | reBiocoder/bioforum | 08c8ff2f07ae667d37ce343f537e878d78ac8fe2 | [
"MIT"
] | 33 | 2018-09-16T15:31:53.000Z | 2021-02-16T06:27:43.000Z | topic/templatetags/recent_reply.py | reBiocoder/bioforum | 08c8ff2f07ae667d37ce343f537e878d78ac8fe2 | [
"MIT"
] | 1 | 2018-12-27T02:58:19.000Z | 2018-12-31T03:46:16.000Z | topic/templatetags/recent_reply.py | reBiocoder/bioforum | 08c8ff2f07ae667d37ce343f537e878d78ac8fe2 | [
"MIT"
] | 15 | 2018-10-12T08:52:14.000Z | 2020-09-30T03:22:37.000Z | from django import template
from topic.models import Create_Topic
register=template.Library()
| 24.333333 | 60 | 0.693151 |
99b5fda17cb22c59f93cf1e142a30c7136b582f1 | 9,253 | py | Python | shap/explainers/tree.py | naivelamb/shap | cf8e768a36e9c6e92ecbbade1dd20c8872baa6aa | [
"MIT"
] | null | null | null | shap/explainers/tree.py | naivelamb/shap | cf8e768a36e9c6e92ecbbade1dd20c8872baa6aa | [
"MIT"
] | null | null | null | shap/explainers/tree.py | naivelamb/shap | cf8e768a36e9c6e92ecbbade1dd20c8872baa6aa | [
"MIT"
] | 1 | 2019-02-05T19:36:59.000Z | 2019-02-05T19:36:59.000Z | import numpy as np
import multiprocessing
import sys
have_cext = False
try:
from .. import _cext
have_cext = True
except ImportError:
pass
except:
print("the C extension is installed...but failed to load!")
pass
try:
import xgboost
except ImportError:
pass
except:
print("xgboost is ins... | 40.056277 | 119 | 0.608235 |
99b6a9f08e774dd8a64a6a924724a0eb8d8ba067 | 1,085 | py | Python | tmd/bilayer/clean_wfc.py | tflovorn/tmd | 74da6d83a59eca0ab380d5ce97a36219db21fee6 | [
"MIT"
] | 1 | 2019-08-07T18:14:21.000Z | 2019-08-07T18:14:21.000Z | tmd/bilayer/clean_wfc.py | tflovorn/tmd | 74da6d83a59eca0ab380d5ce97a36219db21fee6 | [
"MIT"
] | null | null | null | tmd/bilayer/clean_wfc.py | tflovorn/tmd | 74da6d83a59eca0ab380d5ce97a36219db21fee6 | [
"MIT"
] | 5 | 2017-09-21T06:39:22.000Z | 2021-09-29T16:17:37.000Z | import os
import shutil
from argparse import ArgumentParser
from tmd.bilayer.dgrid import get_prefixes
from tmd.bilayer.bilayer_util import global_config
if __name__ == "__main__":
_main()
| 32.878788 | 83 | 0.689401 |
99b6b0110cc7ef6710b3af92dbc9337bbeb8fdbb | 942 | py | Python | planner/section.py | ksu-web-dev/planner | 1aa7f50b2b8c1dda3dccf12e59ca169f19049d18 | [
"MIT"
] | null | null | null | planner/section.py | ksu-web-dev/planner | 1aa7f50b2b8c1dda3dccf12e59ca169f19049d18 | [
"MIT"
] | null | null | null | planner/section.py | ksu-web-dev/planner | 1aa7f50b2b8c1dda3dccf12e59ca169f19049d18 | [
"MIT"
] | null | null | null | import dataclasses
import time
| 24.153846 | 69 | 0.58811 |