hexsha stringlengths 40 40 | size int64 4 1.02M | ext stringclasses 8
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 4 209 | max_stars_repo_name stringlengths 5 121 | max_stars_repo_head_hexsha stringlengths 40 40 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 4 209 | max_issues_repo_name stringlengths 5 121 | max_issues_repo_head_hexsha stringlengths 40 40 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 67k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 4 209 | max_forks_repo_name stringlengths 5 121 | max_forks_repo_head_hexsha stringlengths 40 40 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 4 1.02M | avg_line_length float64 1.07 66.1k | max_line_length int64 4 266k | alphanum_fraction float64 0.01 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9074de3f83ee966f855beab49a5bcaa9e931a4c8 | 163 | py | Python | data-detective-airflow/dags/dags/dummy_elt_etl/code/code.py | dmitriy-e/metadata-governance | 018a879951dee3f3c2c05ac8e05b8360dd7f4ab3 | [
"Apache-2.0"
] | 5 | 2021-12-01T09:55:23.000Z | 2021-12-21T16:23:33.000Z | data-detective-airflow/dags/dags/dummy_elt_etl/code/code.py | dmitriy-e/metadata-governance | 018a879951dee3f3c2c05ac8e05b8360dd7f4ab3 | [
"Apache-2.0"
] | 1 | 2021-11-16T15:55:34.000Z | 2021-11-16T15:55:34.000Z | data-detective-airflow/dags/dags/dummy_elt_etl/code/code.py | dmitriy-e/metadata-governance | 018a879951dee3f3c2c05ac8e05b8360dd7f4ab3 | [
"Apache-2.0"
] | 2 | 2021-11-03T09:43:09.000Z | 2021-11-17T10:16:29.000Z | from pandas import DataFrame
def etl(_context, elt: DataFrame) -> DataFrame:
out_df = elt.copy()
out_df['test1'] = out_df['test1'] * 3
return out_df
| 20.375 | 47 | 0.662577 |
8d719753d12a2ae64c4a8d5b4c52b2aaab1e4193 | 1,162 | py | Python | speech/cloud-client/transcribe_async_test.py | alaquitara/pythonDocs | 705a386a51b35983ed0955b81b63ecae74b1e5c9 | [
"Apache-2.0"
] | null | null | null | speech/cloud-client/transcribe_async_test.py | alaquitara/pythonDocs | 705a386a51b35983ed0955b81b63ecae74b1e5c9 | [
"Apache-2.0"
] | null | null | null | speech/cloud-client/transcribe_async_test.py | alaquitara/pythonDocs | 705a386a51b35983ed0955b81b63ecae74b1e5c9 | [
"Apache-2.0"
] | null | null | null | # Copyright 2016, Google, 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 or agreed to in writing, s... | 32.277778 | 78 | 0.7358 |
b2037a31be6279ff5a60e9349c1de13148ee2a18 | 170 | py | Python | Curso_Coursera/Ex4_FizzBuzzParcial_Parte3.py | shirleyguimaraes/Linguagem_Python | cb8b871ee4fe85f803c35bfe55ce533cab8150fb | [
"MIT"
] | null | null | null | Curso_Coursera/Ex4_FizzBuzzParcial_Parte3.py | shirleyguimaraes/Linguagem_Python | cb8b871ee4fe85f803c35bfe55ce533cab8150fb | [
"MIT"
] | null | null | null | Curso_Coursera/Ex4_FizzBuzzParcial_Parte3.py | shirleyguimaraes/Linguagem_Python | cb8b871ee4fe85f803c35bfe55ce533cab8150fb | [
"MIT"
] | null | null | null |
def main():
n = int(input("Digite um número inteiro: "))
if n % 3 == 0 and n % 5 == 0:
print("FizzBuzz")
else:
print(n)
main() | 14.166667 | 49 | 0.441176 |
7bdbbc159874b69df5ec03e519d730d12945cbb2 | 2,198 | py | Python | app/tests/jqfileupload_tests/utils.py | Tommos0/grand-challenge.org | 187cd857f6a7c9651b7bda8c42c54801f071dd7c | [
"Apache-2.0"
] | null | null | null | app/tests/jqfileupload_tests/utils.py | Tommos0/grand-challenge.org | 187cd857f6a7c9651b7bda8c42c54801f071dd7c | [
"Apache-2.0"
] | null | null | null | app/tests/jqfileupload_tests/utils.py | Tommos0/grand-challenge.org | 187cd857f6a7c9651b7bda8c42c54801f071dd7c | [
"Apache-2.0"
] | null | null | null | import os
import time
import random
from django.test import RequestFactory
def load_test_data():
with open(
os.path.join(os.path.dirname(__file__), "testdata", "rnddata"), "rb"
) as f:
return f.read()
def generate_new_upload_id(sender, content):
return f"{id(sender)}_{hash(content)}_{ti... | 25.55814 | 76 | 0.622384 |
8ac8d59facc83449d47c278d4ffdd930e83e44c2 | 222 | py | Python | sptm/__init__.py | Rochan-A/sptm | cd8f2ac6936403c43079987308a9cc12a16e51c0 | [
"MIT"
] | 8 | 2018-07-18T09:54:52.000Z | 2020-06-22T14:20:31.000Z | sptm/__init__.py | Rochan-A/sptm | cd8f2ac6936403c43079987308a9cc12a16e51c0 | [
"MIT"
] | 1 | 2019-11-21T10:00:45.000Z | 2021-12-23T21:31:03.000Z | sptm/__init__.py | Rochan-A/sptm | cd8f2ac6936403c43079987308a9cc12a16e51c0 | [
"MIT"
] | 4 | 2020-04-21T12:53:20.000Z | 2021-06-21T23:55:25.000Z | from .model import Model, ModelVanilla
from .postprocess import TopicDistanceMap
from .preprocess import Corpus
from .utils import force_unicode
from .conditional import ConditionalMatrix
from .inference import Inferencer
| 31.714286 | 42 | 0.855856 |
2437e7bdfca1e23bca43755a5eea0c036a691d20 | 3,523 | py | Python | smoke/utils/model_serialization.py | dashidhy/SMOKE | 724876443db90bbdca8f942515e881993b3f47b2 | [
"MIT"
] | 5 | 2020-08-28T23:38:39.000Z | 2020-08-31T17:00:56.000Z | smoke/utils/model_serialization.py | Jike-u/SMOKE | 724876443db90bbdca8f942515e881993b3f47b2 | [
"MIT"
] | null | null | null | smoke/utils/model_serialization.py | Jike-u/SMOKE | 724876443db90bbdca8f942515e881993b3f47b2 | [
"MIT"
] | 3 | 2020-08-28T23:51:34.000Z | 2021-04-18T03:32:39.000Z | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
from collections import OrderedDict
import logging
import torch
def align_and_update_state_dicts(model_state_dict, loaded_state_dict):
"""
Strategy: suppose that the models that we will create will have prefixes appended
to each of i... | 42.963415 | 91 | 0.697417 |
fb1c248c7a2be877b0ee6752ccb6f1e32d3f1f5d | 4,156 | py | Python | VTdyn/libs/pd_lib_neutral.py | jessiesrr/evo-epithelium | c3d7409d7889187abfda8c3e708b778afee6461a | [
"MIT"
] | 1 | 2020-06-02T06:37:50.000Z | 2020-06-02T06:37:50.000Z | VTdyn/libs/pd_lib_neutral.py | jessiesrr/evo-epithelium | c3d7409d7889187abfda8c3e708b778afee6461a | [
"MIT"
] | null | null | null | VTdyn/libs/pd_lib_neutral.py | jessiesrr/evo-epithelium | c3d7409d7889187abfda8c3e708b778afee6461a | [
"MIT"
] | null | null | null | import os
import sys
import numpy as np
import itertools
import structure
from structure.global_constants import T_D,dt
from structure.cell import Tissue, BasicSpringForceNoGrowth
import structure.initialisation as init
def run(tissue_original,simulation,N_step,skip):
"""run a given simulation for N_step ... | 55.413333 | 274 | 0.625361 |
bdfe8115fa271931f662101fcaa4047f5164b887 | 198 | py | Python | data.py | bremersj/error-coding | be49f1c305231ca3aedecb4c06b6f222f73252c4 | [
"Apache-2.0"
] | null | null | null | data.py | bremersj/error-coding | be49f1c305231ca3aedecb4c06b6f222f73252c4 | [
"Apache-2.0"
] | null | null | null | data.py | bremersj/error-coding | be49f1c305231ca3aedecb4c06b6f222f73252c4 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sat Nov 11 22:24:29 2017
@author: steve
"""
def get_data(file_name):
with open (file_name, 'r') as f:
data = f.read().splitlines()
return data | 18 | 36 | 0.59596 |
0f4e03db23ba51e08b136051191fdfa63c68c0ab | 3,637 | py | Python | pymusicterm/__init__.py | EGAMAGZ/Terminal-Music-Player | fc5ce7d9cef6ee98f2dde1784d363a8002584d96 | [
"MIT"
] | 2 | 2020-07-12T20:43:06.000Z | 2020-08-07T06:16:12.000Z | pymusicterm/__init__.py | EGAMAGZ/Terminal-Music-Player | fc5ce7d9cef6ee98f2dde1784d363a8002584d96 | [
"MIT"
] | null | null | null | pymusicterm/__init__.py | EGAMAGZ/Terminal-Music-Player | fc5ce7d9cef6ee98f2dde1784d363a8002584d96 | [
"MIT"
] | null | null | null | import curses
from pymusicterm.ui.widget_set import CustomWidgetSet
import py_cui
import platform
import argparse
import pymusicterm.ui as ui
from pymusicterm.ui.progressbar import LoadingBarWidget
from pymusicterm.ui.windows import LocalPlayerWindow
from pymusicterm.util.system import on_wsl
__version__='0.0.4'
cla... | 33.675926 | 135 | 0.622491 |
d762aa2033162ec6f2948e62f988af6ea09635d0 | 342 | py | Python | xldlib/objects/chemical/__init__.py | Alexhuszagh/XLDiscoverer | 60937b1f7f2e23af4219eb26519d6b83fb4232d6 | [
"Apache-2.0",
"MIT"
] | null | null | null | xldlib/objects/chemical/__init__.py | Alexhuszagh/XLDiscoverer | 60937b1f7f2e23af4219eb26519d6b83fb4232d6 | [
"Apache-2.0",
"MIT"
] | null | null | null | xldlib/objects/chemical/__init__.py | Alexhuszagh/XLDiscoverer | 60937b1f7f2e23af4219eb26519d6b83fb4232d6 | [
"Apache-2.0",
"MIT"
] | null | null | null | '''
Objects/Chemical
________________
Chemical definitions and objects, for modifications and chemical
formula parsers.
:copyright: (c) 2015 The Regents of the University of California.
:license: GNU GPL, see licenses/GNU GPLv3.txt for more details.
'''
from .isobaric import Isobaric
__all__... | 20.117647 | 69 | 0.707602 |
4057a4acfcd8841432d0d400b134fdd543342bb4 | 2,482 | py | Python | timemachines/skatertools/visualization/priorplot.py | wx-b/timemachines | 5ab914adf265928eda26ca637881d6ccd5e794a9 | [
"MIT"
] | null | null | null | timemachines/skatertools/visualization/priorplot.py | wx-b/timemachines | 5ab914adf265928eda26ca637881d6ccd5e794a9 | [
"MIT"
] | null | null | null | timemachines/skatertools/visualization/priorplot.py | wx-b/timemachines | 5ab914adf265928eda26ca637881d6ccd5e794a9 | [
"MIT"
] | null | null | null |
import numpy as np
from timemachines.skatertools.data.synthetic import brownian_with_exogenous, brownian_with_noise
from timemachines.skating import prior
from timemachines.skatertools.utilities.conventions import wrap
# Quick ways to inspect skaters
try:
import matplotlib.pyplot as plt
using_matplotlib = Tr... | 28.204545 | 105 | 0.616035 |
cd4e23572ca6a33bee23824edf65d1a45d3934c3 | 1,429 | py | Python | neighbour/models.py | Eccie-K/neighbour-hood | f874f9468160aa34dee294d685374e4c5e2eec4d | [
"MIT"
] | null | null | null | neighbour/models.py | Eccie-K/neighbour-hood | f874f9468160aa34dee294d685374e4c5e2eec4d | [
"MIT"
] | 4 | 2020-06-05T23:21:40.000Z | 2021-06-10T21:57:32.000Z | neighbour/models.py | Eccie-K/neighbour-hood | f874f9468160aa34dee294d685374e4c5e2eec4d | [
"MIT"
] | null | null | null | from django.db import models
from django.contrib.auth.models import User
from django.db.models.signals import post_save
from smartfields import fields
from django.utils import timezone
from django.conf import settings
# Create your models here.
class Hood(models.Model):
name = models.CharField(max_length=40, null... | 30.404255 | 73 | 0.709587 |
e1b7a0517a4666f8ce618750426984d9f5fba40d | 4,502 | py | Python | pymoo/problems/multi/zdt.py | jarreguit/pymoo | 0496a3c6765826148d8bab21650736760517dd25 | [
"Apache-2.0"
] | 762 | 2018-06-05T20:56:09.000Z | 2021-09-14T09:09:42.000Z | pymoo/problems/multi/zdt.py | jarreguit/pymoo | 0496a3c6765826148d8bab21650736760517dd25 | [
"Apache-2.0"
] | 176 | 2018-09-05T18:37:05.000Z | 2021-09-14T01:18:43.000Z | pymoo/problems/multi/zdt.py | jarreguit/pymoo | 0496a3c6765826148d8bab21650736760517dd25 | [
"Apache-2.0"
] | 160 | 2018-08-05T05:31:20.000Z | 2021-09-14T09:09:45.000Z | import autograd.numpy as anp
from pymoo.core.problem import Problem
from pymoo.util.normalization import normalize
class ZDT(Problem):
def __init__(self, n_var=30, **kwargs):
super().__init__(n_var=n_var, n_obj=2, n_constr=0, xl=0, xu=1, type_var=anp.double, **kwargs)
class ZDT1(ZDT):
def _calc_p... | 30.013333 | 101 | 0.507774 |
a338655fb4008c08c08494f5ad77c2348509b309 | 3,738 | py | Python | tensorflow_graphics/rendering/interpolate.py | Liang813/graphics | 71ab1775228a0a292427551350cbb62bfa8bd01a | [
"Apache-2.0"
] | 2,759 | 2019-01-08T10:40:34.000Z | 2022-03-28T13:49:37.000Z | tensorflow_graphics/rendering/interpolate.py | Liang813/graphics | 71ab1775228a0a292427551350cbb62bfa8bd01a | [
"Apache-2.0"
] | 262 | 2019-04-28T12:25:49.000Z | 2022-03-24T19:35:15.000Z | tensorflow_graphics/rendering/interpolate.py | Liang813/graphics | 71ab1775228a0a292427551350cbb62bfa8bd01a | [
"Apache-2.0"
] | 380 | 2019-05-09T00:14:45.000Z | 2022-03-31T12:48:25.000Z | # Copyright 2020 The TensorFlow Authors
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | 42.965517 | 80 | 0.742911 |
27553b7ccddb82c382eb5b82e7a2bec918fef80a | 1,474 | py | Python | azure-mgmt-datalake-analytics/azure/mgmt/datalake/analytics/account/models/check_name_availability_parameters.py | v-Ajnava/azure-sdk-for-python | a1f6f80eb5869c5b710e8bfb66146546697e2a6f | [
"MIT"
] | 4 | 2016-06-17T23:25:29.000Z | 2022-03-30T22:37:45.000Z | azure-mgmt-datalake-analytics/azure/mgmt/datalake/analytics/account/models/check_name_availability_parameters.py | v-Ajnava/azure-sdk-for-python | a1f6f80eb5869c5b710e8bfb66146546697e2a6f | [
"MIT"
] | 2 | 2016-09-30T21:40:24.000Z | 2017-11-10T18:16:18.000Z | azure-mgmt-datalake-analytics/azure/mgmt/datalake/analytics/account/models/check_name_availability_parameters.py | v-Ajnava/azure-sdk-for-python | a1f6f80eb5869c5b710e8bfb66146546697e2a6f | [
"MIT"
] | 3 | 2016-05-03T20:49:46.000Z | 2017-10-05T21:05:27.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 33.5 | 76 | 0.612619 |
49508feeb8c74e8999ebf793576342b8391aba8d | 1,293 | py | Python | run_tests.py | rackerlabs/Tempo | 60c2adaf5b592ae171987b999e0b9cc46b80c54e | [
"Apache-2.0"
] | 4 | 2015-04-26T01:46:51.000Z | 2020-11-10T13:07:59.000Z | run_tests.py | rackerlabs/Tempo | 60c2adaf5b592ae171987b999e0b9cc46b80c54e | [
"Apache-2.0"
] | null | null | null | run_tests.py | rackerlabs/Tempo | 60c2adaf5b592ae171987b999e0b9cc46b80c54e | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# Copyright 2011 Rackspace
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# ... | 33.153846 | 77 | 0.651972 |
53af42c073f835a5edd7774c11685d22c219f9ff | 8,145 | py | Python | cmip6_preprocessing/recreate_grids.py | AndrewWilliams3142/cmip6_preprocessing | 8cdd02de9fa35b373be5a66da9bc481ca3a6aaa8 | [
"MIT"
] | null | null | null | cmip6_preprocessing/recreate_grids.py | AndrewWilliams3142/cmip6_preprocessing | 8cdd02de9fa35b373be5a66da9bc481ca3a6aaa8 | [
"MIT"
] | null | null | null | cmip6_preprocessing/recreate_grids.py | AndrewWilliams3142/cmip6_preprocessing | 8cdd02de9fa35b373be5a66da9bc481ca3a6aaa8 | [
"MIT"
] | 1 | 2022-03-08T11:34:01.000Z | 2022-03-08T11:34:01.000Z | from xgcm.autogenerate import generate_grid_ds
import xarray as xr
import numpy as np
from xgcm import Grid
import pyproj
import matplotlib.pyplot as plt
# now sort all other variables in accordingly
def rename(da, da_tracer, da_u, da_v, grid_type, position, verbose=False):
# check with which variable the lon and ... | 32.975709 | 100 | 0.527072 |
fcba7dfdf4e941c73a9b355d71cfd362eed38c37 | 4,452 | py | Python | statsmodels/tools/tests/test_eval_measures.py | peterprescott/statsmodels | 7c4a71e8d16618315b7370c88212aa2a4f358270 | [
"BSD-3-Clause"
] | null | null | null | statsmodels/tools/tests/test_eval_measures.py | peterprescott/statsmodels | 7c4a71e8d16618315b7370c88212aa2a4f358270 | [
"BSD-3-Clause"
] | null | null | null | statsmodels/tools/tests/test_eval_measures.py | peterprescott/statsmodels | 7c4a71e8d16618315b7370c88212aa2a4f358270 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Tue Nov 08 22:28:48 2011
@author: josef
"""
import pytest
import numpy as np
from numpy.testing import assert_equal, assert_almost_equal
from statsmodels.tools.eval_measures import (
maxabs, meanabs, medianabs, medianbias, mse, rmse, rmspe,
vare, aic, aic_sigma, aicc, a... | 33.984733 | 75 | 0.524933 |
62ad2838ac11a75391704106b03ffa66919bfa75 | 797 | py | Python | src/spinnaker_ros_lsm/venv/lib/python2.7/site-packages/spynnaker_extra_pynn_models/neuron/plasticity/stdp/synapse_structure/synapse_structure_weight_accumulator.py | Roboy/LSM_SpiNNaker_MyoArm | 04fa1eaf78778edea3ba3afa4c527d20c491718e | [
"BSD-3-Clause"
] | 2 | 2020-11-01T13:22:11.000Z | 2020-11-01T13:22:20.000Z | src/spinnaker_ros_lsm/venv/lib/python2.7/site-packages/spynnaker_extra_pynn_models/neuron/plasticity/stdp/synapse_structure/synapse_structure_weight_accumulator.py | Roboy/LSM_SpiNNaker_MyoArm | 04fa1eaf78778edea3ba3afa4c527d20c491718e | [
"BSD-3-Clause"
] | null | null | null | src/spinnaker_ros_lsm/venv/lib/python2.7/site-packages/spynnaker_extra_pynn_models/neuron/plasticity/stdp/synapse_structure/synapse_structure_weight_accumulator.py | Roboy/LSM_SpiNNaker_MyoArm | 04fa1eaf78778edea3ba3afa4c527d20c491718e | [
"BSD-3-Clause"
] | null | null | null | from spynnaker.pyNN.models.neuron.plasticity.stdp.synapse_structure.\
abstract_synapse_structure import AbstractSynapseStructure
import numpy
class SynapseStructureWeightAccumulator(AbstractSynapseStructure):
def __init__(self):
AbstractSynapseStructure.__init__(self)
def get_n_bytes_per_connect... | 33.208333 | 75 | 0.685069 |
2c071f7cf213964d99688c89254b543e06f418ce | 692 | py | Python | app/database/model.py | Dimas4/Web-Crawler-API-Flask | 9b6a787be9abdb4391a2c1be81268ddec79a58dd | [
"MIT"
] | null | null | null | app/database/model.py | Dimas4/Web-Crawler-API-Flask | 9b6a787be9abdb4391a2c1be81268ddec79a58dd | [
"MIT"
] | null | null | null | app/database/model.py | Dimas4/Web-Crawler-API-Flask | 9b6a787be9abdb4391a2c1be81268ddec79a58dd | [
"MIT"
] | null | null | null | import pathlib
from app.create_app.create import app
from flask_sqlalchemy import SQLAlchemy
path = pathlib.Path(__file__).parent.parent.parent
app.config['SQLALCHEMY_DATABASE_URI'] = app.config['SQLALCHEMY_DATABASE_URI'].format(path=path)
db = SQLAlchemy(app)
class Emails(db.Model):
token = db.Column(db.St... | 21.625 | 95 | 0.708092 |
162745cb5cf8550092563a2fa900768c3ed97e8a | 612 | py | Python | app/event/migrations/0042_auto_20170819_0238.py | Sovol2018/sovolo | 54250e42b4af3391d2f99690f45b93ab240563c2 | [
"MIT"
] | 2 | 2017-06-06T11:34:49.000Z | 2017-10-24T13:09:50.000Z | app/event/migrations/0042_auto_20170819_0238.py | Sovol2018/sovolo | 54250e42b4af3391d2f99690f45b93ab240563c2 | [
"MIT"
] | 346 | 2016-08-09T20:50:57.000Z | 2018-08-28T06:52:17.000Z | app/event/migrations/0042_auto_20170819_0238.py | hejob/sovolo | 8b73253d7bf0427c7ae0ebb6d8e3d70e118e8427 | [
"MIT"
] | 3 | 2017-11-27T14:07:57.000Z | 2018-08-13T15:51:01.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.4 on 2017-08-18 17:38
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('event', '0041_auto_20170819_0237'),
]
operations = [
migrations.AlterField(... | 23.538462 | 54 | 0.591503 |
997eb5b3fe15f9759c4a47c236f586961a6c0ec7 | 3,745 | py | Python | mango/tokenlookup.py | neilfutureftr/mango-explorer | d8d5740cc53da90414323e8f62f5b6fbfc6ea5ed | [
"MIT"
] | 1 | 2021-09-09T20:49:46.000Z | 2021-09-09T20:49:46.000Z | mango/tokenlookup.py | neilfutureftr/mango-explorer | d8d5740cc53da90414323e8f62f5b6fbfc6ea5ed | [
"MIT"
] | null | null | null | mango/tokenlookup.py | neilfutureftr/mango-explorer | d8d5740cc53da90414323e8f62f5b6fbfc6ea5ed | [
"MIT"
] | 2 | 2021-09-09T20:49:50.000Z | 2021-11-05T21:41:41.000Z | # # ⚠ Warning
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT
# LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN
# NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIA... | 32.284483 | 106 | 0.67717 |
4b54a84ad4cc920701e4721cda3fef80edbfd26f | 13,959 | py | Python | Verworfen/~mlb_easy_merge.py | timucini/MLB-DeepLearning-Project | 2737e9cd32edefec8ec935f304d04206264ce349 | [
"MIT"
] | null | null | null | Verworfen/~mlb_easy_merge.py | timucini/MLB-DeepLearning-Project | 2737e9cd32edefec8ec935f304d04206264ce349 | [
"MIT"
] | null | null | null | Verworfen/~mlb_easy_merge.py | timucini/MLB-DeepLearning-Project | 2737e9cd32edefec8ec935f304d04206264ce349 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
from pathlib import Path
from datetime import datetime as dt
def mergeManagers(managers, gameLogs):
#Sum up doubled data
managers = managers.groupby(['yearID','playerID'], as_index=False)['Games','Wins','Losses'].sum()
#Get visiting managers
visitingManagers ... | 66.471429 | 165 | 0.633355 |
37f50f548d66585dc0603aec4b19fe8c95b75a8c | 131 | py | Python | src/ghhops-server-py/ghhops_server/logger.py | talebia/compute.rhino3d | f787db0f15d6557491094a3e9daa2d87bc4e5f6a | [
"MIT"
] | 182 | 2018-05-15T16:26:55.000Z | 2022-03-27T09:54:57.000Z | src/ghhops-server-py/ghhops_server/logger.py | harrywuhust2022/compute.rhino3d | 56195809db655fe940dcdf5fae1f6c228eddcf60 | [
"MIT"
] | 202 | 2018-10-13T20:40:22.000Z | 2022-03-26T16:35:28.000Z | src/ghhops-server-py/ghhops_server/logger.py | harrywuhust2022/compute.rhino3d | 56195809db655fe940dcdf5fae1f6c228eddcf60 | [
"MIT"
] | 143 | 2018-06-06T15:40:53.000Z | 2022-03-25T04:55:39.000Z | import logging
logging.basicConfig(format="[%(levelname)s] %(message)s", level=logging.DEBUG)
hlogger = logging.getLogger("Hops")
| 26.2 | 78 | 0.755725 |
f66bd2cc0434fdaf2a75d53d1a9ed4b57e6cd520 | 1,037 | py | Python | kubernetes/test/test_authentication_v1_api.py | iguazio/python | c2684bb479d44a49a2010ec4ede5ffa7b17349dd | [
"Apache-2.0"
] | null | null | null | kubernetes/test/test_authentication_v1_api.py | iguazio/python | c2684bb479d44a49a2010ec4ede5ffa7b17349dd | [
"Apache-2.0"
] | null | null | null | kubernetes/test/test_authentication_v1_api.py | iguazio/python | c2684bb479d44a49a2010ec4ede5ffa7b17349dd | [
"Apache-2.0"
] | 1 | 2019-01-10T11:13:52.000Z | 2019-01-10T11:13:52.000Z | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.13.1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import os
import sys
i... | 19.566038 | 105 | 0.683703 |
1f45f70d6461f489867d37151494677057e855c1 | 228 | py | Python | python/Palindrome_Number_Or_Not.py | maneeshhm/helloAlgorithm | abd1553b25d2aaedac366fd318f3d3200ad173ae | [
"MIT"
] | 4 | 2020-10-18T05:38:31.000Z | 2021-10-21T04:52:09.000Z | python/Palindrome_Number_Or_Not.py | maneeshhm/helloAlgorithm | abd1553b25d2aaedac366fd318f3d3200ad173ae | [
"MIT"
] | 52 | 2020-10-18T04:53:22.000Z | 2021-10-30T14:19:03.000Z | python/Palindrome_Number_Or_Not.py | maneeshhm/helloAlgorithm | abd1553b25d2aaedac366fd318f3d3200ad173ae | [
"MIT"
] | 43 | 2020-10-18T05:23:42.000Z | 2021-10-30T23:54:43.000Z | num = int (input ("Enter number"))
temp = num
rev =0
while (num > 0):
rem = num % 10
rev = (rev*10) + rem
num = num//10
if (temp == rev):
print ("It's a palindrome")
else:
print("It's not a palindrome")
| 17.538462 | 34 | 0.539474 |
c7fccca0fa0a6e2e31fa7c41a989a5c9ffe40005 | 4,127 | py | Python | src/moca_modules/moca_share/MocaSharedMemory.py | el-ideal-ideas/MocaTwitterUtils | 544a260600ade1b8cd4e0a2d2967c2fb6a8f38d3 | [
"MIT"
] | null | null | null | src/moca_modules/moca_share/MocaSharedMemory.py | el-ideal-ideas/MocaTwitterUtils | 544a260600ade1b8cd4e0a2d2967c2fb6a8f38d3 | [
"MIT"
] | null | null | null | src/moca_modules/moca_share/MocaSharedMemory.py | el-ideal-ideas/MocaTwitterUtils | 544a260600ade1b8cd4e0a2d2967c2fb6a8f38d3 | [
"MIT"
] | null | null | null | # -- Imports --------------------------------------------------------------------------
from typing import (
Optional, Any, Callable
)
from copy import copy
from multiprocessing import Manager
from .MocaMultiProcessLock import MocaMultiProcessLock
# ----------------------------------------------------------------... | 36.201754 | 103 | 0.537194 |
efa0f2d504d6c8ca98b22f7e79649bf5bb8a5d91 | 2,994 | py | Python | PyPoll/main.py | danielchenDA/python-challenge | 7f956c54335afd01a5d83eea35c786557472a714 | [
"ADSL"
] | null | null | null | PyPoll/main.py | danielchenDA/python-challenge | 7f956c54335afd01a5d83eea35c786557472a714 | [
"ADSL"
] | null | null | null | PyPoll/main.py | danielchenDA/python-challenge | 7f956c54335afd01a5d83eea35c786557472a714 | [
"ADSL"
] | null | null | null | # Import Dependencies
import csv
import os
# assign variables
win_votes = 0
election_data_dict = {}
total_votes = 0
candidate_holder = ""
winner = ""
vote_holder = 0
# assign csv file path to a variable
election_data_path = os.path.join('..','PyPoll','election_data.csv')
# open csv file using csvreader
with open(ele... | 35.223529 | 92 | 0.573814 |
8ed9ae791922d15f23463649bdf05f43bb7bdd80 | 363 | py | Python | List/ListSlicing.py | poojavaibhavsahu/Pooja_Python | 58122bfa8586883145042b11fe1cc013c803ab4f | [
"bzip2-1.0.6"
] | null | null | null | List/ListSlicing.py | poojavaibhavsahu/Pooja_Python | 58122bfa8586883145042b11fe1cc013c803ab4f | [
"bzip2-1.0.6"
] | null | null | null | List/ListSlicing.py | poojavaibhavsahu/Pooja_Python | 58122bfa8586883145042b11fe1cc013c803ab4f | [
"bzip2-1.0.6"
] | null | null | null | list1=[1,2,4,5,6]
print(list1[0:2])
print(list1[4])
list1[1]=9
print(list1) # adds data in a particular position
#updating in list
names=['Kiran','Ravi',1996,2001]
print(names)
print("Value at index 2",names[2])
names[2]=2013
print("New Value at index 2 now" , names[2])
print(names)
print(names[:2])
print(names[1... | 15.125 | 49 | 0.672176 |
52a0475ef115cd3222986b13693236bac97e410b | 1,324 | py | Python | validation_tests/py-libensemble/calling_script.py | brugger1/testsuite | 9b504db668cdeaf7c561f15b76c95d05bfdd1517 | [
"MIT"
] | 12 | 2019-02-12T18:20:29.000Z | 2021-12-09T19:46:19.000Z | validation_tests/py-libensemble/calling_script.py | brugger1/testsuite | 9b504db668cdeaf7c561f15b76c95d05bfdd1517 | [
"MIT"
] | 24 | 2020-08-31T22:05:07.000Z | 2022-02-21T18:30:03.000Z | validation_tests/py-libensemble/calling_script.py | brugger1/testsuite | 9b504db668cdeaf7c561f15b76c95d05bfdd1517 | [
"MIT"
] | 19 | 2020-08-31T21:59:10.000Z | 2022-02-23T22:06:46.000Z |
import numpy as np
from libensemble.libE import libE
from generator import gen_random_sample
from simulator import sim_find_sine
from libensemble.tools import add_unique_random_streams
nworkers = 4
libE_specs = {'nworkers': nworkers, 'comms': 'local'}
gen_specs = {'gen_f': gen_random_sample, # Our generator fu... | 34.842105 | 85 | 0.60574 |
78965ad8ae8f2ad03fc9bd5971a061c7a17c99c0 | 1,843 | py | Python | StoryTellingGame/util/db.py | kkysen/Soft-Dev | b19881b1fcc9c7daefc817e6b975ff6bce545d81 | [
"Apache-2.0"
] | null | null | null | StoryTellingGame/util/db.py | kkysen/Soft-Dev | b19881b1fcc9c7daefc817e6b975ff6bce545d81 | [
"Apache-2.0"
] | 2 | 2017-10-26T16:52:58.000Z | 2017-11-01T16:58:52.000Z | StoryTellingGame/util/db.py | kkysen/Soft-Dev | b19881b1fcc9c7daefc817e6b975ff6bce545d81 | [
"Apache-2.0"
] | null | null | null | import sqlite3
import threading
class Database(object):
"""Database wrapper."""
def __init__(self, path, debug=False):
# type: (str) -> None
self.path = path
self.conn = sqlite3.connect(path, check_same_thread=False)
# mulithreading is only safe when Database.lock()... | 27.102941 | 95 | 0.53554 |
65553c83da8ad061ec5cf38c4333751563450665 | 2,853 | py | Python | settings.py | tsuyukimakoto/djblackhole | ce298d81bccffc48e78e9694fbe1d19e8eedfe39 | [
"BSD-3-Clause"
] | null | null | null | settings.py | tsuyukimakoto/djblackhole | ce298d81bccffc48e78e9694fbe1d19e8eedfe39 | [
"BSD-3-Clause"
] | null | null | null | settings.py | tsuyukimakoto/djblackhole | ce298d81bccffc48e78e9694fbe1d19e8eedfe39 | [
"BSD-3-Clause"
] | null | null | null | # Django settings for djblackhole project.
DEBUG = True
TEMPLATE_DEBUG = DEBUG
ADMINS = (
# ('Your Name', 'your_email@domain.com'),
)
MANAGERS = ADMINS
import os
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
DATABASE_ENGINE = 'sqlite3' # 'postgresql', 'mysql', 'sqlite3' or 'ado_... | 33.964286 | 99 | 0.704171 |
978554e9aaff5c755589b801f7fd97a1b04afe6e | 54,573 | py | Python | tensorflow/python/ops/array_ops.py | StryxZilla/tensor | ae5cc4cc3e6b2fb19e79ba61d1f761f919ed110c | [
"Apache-2.0"
] | null | null | null | tensorflow/python/ops/array_ops.py | StryxZilla/tensor | ae5cc4cc3e6b2fb19e79ba61d1f761f919ed110c | [
"Apache-2.0"
] | null | null | null | tensorflow/python/ops/array_ops.py | StryxZilla/tensor | ae5cc4cc3e6b2fb19e79ba61d1f761f919ed110c | [
"Apache-2.0"
] | null | null | null | # Copyright 2015 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 32.776577 | 86 | 0.661994 |
d959f1a259e55a813988bd408ee5f95fa9f178c1 | 3,928 | py | Python | benchmark/startQiskit_noisy2592.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | benchmark/startQiskit_noisy2592.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | benchmark/startQiskit_noisy2592.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | # qubit number=4
# total number=28
import cirq
import qiskit
from qiskit.providers.aer import QasmSimulator
from qiskit.test.mock import FakeVigo
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
from qiskit import BasicAer, execute, transpile
from pprint import pprint
from qiskit.test.mock import ... | 33.862069 | 140 | 0.65224 |
af06319c57455ca58025ffee4c36a288d040ee4c | 3,511 | py | Python | mylib/keras_to_gluon.py | duducheng/deeplabv3p_gluon | fd8e3e8d834838a9a221785b825499c62cee578f | [
"Apache-2.0"
] | 66 | 2018-07-20T04:01:41.000Z | 2021-11-08T10:40:49.000Z | mylib/keras_to_gluon.py | duducheng/deeplabv3p_gluon | fd8e3e8d834838a9a221785b825499c62cee578f | [
"Apache-2.0"
] | 6 | 2018-08-16T08:06:39.000Z | 2020-11-28T13:07:21.000Z | mylib/keras_to_gluon.py | duducheng/deeplabv3p_gluon | fd8e3e8d834838a9a221785b825499c62cee578f | [
"Apache-2.0"
] | 11 | 2018-07-20T18:00:29.000Z | 2020-04-28T15:21:58.000Z | from tqdm import tqdm
import keras.backend as K
def get_gpu_session(ratio=None, interactive=False):
config = K.tf.ConfigProto(allow_soft_placement=True)
if ratio is None:
config.gpu_options.allow_growth = True
else:
config.gpu_options.per_process_gpu_memory_fraction = ratio
if interact... | 36.957895 | 70 | 0.621191 |
701509c0957c8dd1898930338655574097e23647 | 61 | py | Python | Python/Strings/capitalize.py | rho2/HackerRank | 4d9cdfcabeb20212db308d8e4f2ac1b8ebf7d266 | [
"MIT"
] | null | null | null | Python/Strings/capitalize.py | rho2/HackerRank | 4d9cdfcabeb20212db308d8e4f2ac1b8ebf7d266 | [
"MIT"
] | null | null | null | Python/Strings/capitalize.py | rho2/HackerRank | 4d9cdfcabeb20212db308d8e4f2ac1b8ebf7d266 | [
"MIT"
] | null | null | null | print(' '.join([i.capitalize() for i in input().split(' ')])) | 61 | 61 | 0.590164 |
abffa95def0207a1e3a962574d790fc01bd5de6f | 951 | py | Python | flamingo/plugins/yaml.py | rohieb/flamingo | 5212a1c201144715ff47c94e8e7724f5304be5c1 | [
"Apache-2.0"
] | null | null | null | flamingo/plugins/yaml.py | rohieb/flamingo | 5212a1c201144715ff47c94e8e7724f5304be5c1 | [
"Apache-2.0"
] | null | null | null | flamingo/plugins/yaml.py | rohieb/flamingo | 5212a1c201144715ff47c94e8e7724f5304be5c1 | [
"Apache-2.0"
] | null | null | null | from flamingo.core.parser import ContentParser
class YamlParser(ContentParser):
FILE_EXTENSIONS = ['yaml']
"""
This parser can be used to load files that do not contain a content part
and only contain a metadata part.
This can be useful if you want to generate pages just from some
pice of str... | 29.71875 | 76 | 0.685594 |
90c5792ea219bcbb6c3e778f8bf9fdb909bf6563 | 2,094 | py | Python | Lambda/isValidBinarySearchTree_Recursive.py | JeffreyAsuncion/CodingProblems_Python | db71cb46b2579c1c65767a644a0ea989da4fa559 | [
"MIT"
] | null | null | null | Lambda/isValidBinarySearchTree_Recursive.py | JeffreyAsuncion/CodingProblems_Python | db71cb46b2579c1c65767a644a0ea989da4fa559 | [
"MIT"
] | null | null | null | Lambda/isValidBinarySearchTree_Recursive.py | JeffreyAsuncion/CodingProblems_Python | db71cb46b2579c1c65767a644a0ea989da4fa559 | [
"MIT"
] | null | null | null | """
You are given a binary tree. You need to write a function that can determin if
it is a valid binary search tree.
The rules for a valid binary search tree are:
- The node's left subtree only contains nodes with values less than the node's
value.
- The node's right subtree only contains nodes with values greater than... | 25.228916 | 78 | 0.626074 |
bb809de72b0c637690e17510aa5c2d00ae01e7fc | 2,463 | py | Python | tests/conftest.py | Moeflon/DiCE | bb00f2c73495d80675d9d6e61d385ee8638c5be9 | [
"MIT"
] | null | null | null | tests/conftest.py | Moeflon/DiCE | bb00f2c73495d80675d9d6e61d385ee8638c5be9 | [
"MIT"
] | null | null | null | tests/conftest.py | Moeflon/DiCE | bb00f2c73495d80675d9d6e61d385ee8638c5be9 | [
"MIT"
] | null | null | null | import pytest
from collections import OrderedDict
import pandas as pd
import dice_ml
from dice_ml.utils import helpers
@pytest.fixture
def public_data_object():
"""
Returns a public data object for the adult income dataset
"""
dataset = helpers.load_adult_income_dataset()
return dice_ml.Data(datafr... | 37.318182 | 142 | 0.62566 |
89e65988599b94be2ad6b542a1dac333f4c1c413 | 10,319 | py | Python | frappe/desk/form/load.py | Don-Leopardo/frappe | 39097b05a7a9904776a435ee2c3d7a579d429389 | [
"MIT"
] | 3,755 | 2015-01-06T07:47:43.000Z | 2022-03-31T20:54:23.000Z | frappe/desk/form/load.py | Don-Leopardo/frappe | 39097b05a7a9904776a435ee2c3d7a579d429389 | [
"MIT"
] | 7,369 | 2015-01-01T19:59:41.000Z | 2022-03-31T23:02:05.000Z | frappe/desk/form/load.py | Don-Leopardo/frappe | 39097b05a7a9904776a435ee2c3d7a579d429389 | [
"MIT"
] | 2,685 | 2015-01-07T17:51:03.000Z | 2022-03-31T23:16:24.000Z | # Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
# License: MIT. See LICENSE
from typing import Dict, List, Union
import frappe, json
import frappe.utils
import frappe.share
import frappe.defaults
import frappe.desk.form.meta
from frappe.model.utils.user_settings import get_user_settings
from frapp... | 32.046584 | 123 | 0.728268 |
476384ba2f1b0e54c3ba4d9d2019f947d8b99ab1 | 2,842 | py | Python | Controllers/controller_lqr.py | SensorsINI/CartPoleSimulation | 8f59c21796ed68d224e5f731957e68583f54a10a | [
"MIT"
] | 5 | 2020-10-25T06:55:29.000Z | 2021-11-12T08:42:48.000Z | Controllers/controller_lqr.py | SensorsINI/CartPoleSimulation | 8f59c21796ed68d224e5f731957e68583f54a10a | [
"MIT"
] | 4 | 2021-03-12T15:05:42.000Z | 2021-07-02T16:27:41.000Z | Controllers/controller_lqr.py | SensorsINI/CartPoleSimulation | 8f59c21796ed68d224e5f731957e68583f54a10a | [
"MIT"
] | 4 | 2020-10-16T19:15:30.000Z | 2022-02-25T15:09:51.000Z | """
This is a linear-quadratic regulator
It assumes that the input relation is u = Q*u_max (no fancy motor model) !
"""
import scipy
import numpy as np
from Controllers.template_controller import template_controller
from CartPole.state_utilities import ANGLE_IDX, ANGLED_IDX, POSITION_IDX, POSITIOND_IDX
from CartPole.... | 31.577778 | 103 | 0.608726 |
8c5d459246280f94b15cc71c770f2d7ca519368b | 15,815 | py | Python | tests/chainer_tests/serializers_tests/test_hdf5.py | zaltoprofen/chainer | 3b03f9afc80fd67f65d5e0395ef199e9506b6ee1 | [
"MIT"
] | 2 | 2019-08-12T21:48:04.000Z | 2020-08-27T18:04:20.000Z | tests/chainer_tests/serializers_tests/test_hdf5.py | nolfwin/chainer | 8d776fcc1e848cb9d3800a6aab356eb91ae9d088 | [
"MIT"
] | 2 | 2019-05-14T15:45:01.000Z | 2019-05-15T07:12:49.000Z | tests/chainer_tests/serializers_tests/test_hdf5.py | nolfwin/chainer | 8d776fcc1e848cb9d3800a6aab356eb91ae9d088 | [
"MIT"
] | 2 | 2019-07-16T00:24:47.000Z | 2021-02-26T10:27:27.000Z | import os
import sys
import tempfile
import unittest
import mock
import numpy
import chainer
from chainer import backend
from chainer.backends import cuda
from chainer.backends import intel64
from chainer import link
from chainer import links
from chainer import optimizers
from chainer.serializers import hdf5
from ch... | 33.016701 | 78 | 0.62466 |
efaf3507b8f711a4ddb8a4328e2e2b83d88b6efc | 1,462 | py | Python | tixcraft/recaptcha.py | satan007417/tixcraft_request | c4383c7bcc05844f4c10cbfb2b36c7d4c7c55f79 | [
"MIT"
] | 1 | 2019-09-20T08:58:28.000Z | 2019-09-20T08:58:28.000Z | tixcraft/recaptcha.py | satan007417/tixcraft_request | c4383c7bcc05844f4c10cbfb2b36c7d4c7c55f79 | [
"MIT"
] | 14 | 2019-07-21T17:22:46.000Z | 2022-03-11T23:50:36.000Z | tixcraft/recaptcha.py | satan007417/tixcraft_request | c4383c7bcc05844f4c10cbfb2b36c7d4c7c55f79 | [
"MIT"
] | 1 | 2020-07-10T18:41:20.000Z | 2020-07-10T18:41:20.000Z | from keras.models import load_model
import tensorflow as tf
from PIL import Image
import numpy as np
tf.logging.set_verbosity(tf.logging.ERROR)
try:
char_model = load_model("./models/Reenie_Beanie_model.h5")
except OSError:
char_model = None
class Recaptcha:
def __init__(self, session):
self.ses... | 28.666667 | 80 | 0.623119 |
ce0e1ec533af26443f6c86f45cfdaebafa01eb71 | 8,426 | py | Python | python_scripts/ensemble_adaboost.py | odotreppe/scikit-learn-mooc | da97773fc9b860371e94e3c72791b0c92471b22d | [
"CC-BY-4.0"
] | 634 | 2020-03-10T15:42:46.000Z | 2022-03-28T15:19:00.000Z | python_scripts/ensemble_adaboost.py | Haydost/scikit-learn-mooc | b46dc840111b7bc6ca643e0f1cc79499c246ca8b | [
"CC-BY-4.0"
] | 467 | 2020-03-10T15:42:31.000Z | 2022-03-31T09:10:04.000Z | python_scripts/ensemble_adaboost.py | Haydost/scikit-learn-mooc | b46dc840111b7bc6ca643e0f1cc79499c246ca8b | [
"CC-BY-4.0"
] | 314 | 2020-03-11T14:28:26.000Z | 2022-03-31T12:01:02.000Z | # %% [markdown]
# # Adaptive Boosting (AdaBoost)
#
# In this notebook, we present the Adaptive Boosting (AdaBoost) algorithm. The
# aim is to get intuitions regarding the internal machinery of AdaBoost and
# boosting in general.
#
# We will load the "penguin" dataset. We will predict penguin species from the
# culmen l... | 37.954955 | 79 | 0.73653 |
f8e916b195dc6b18c6391f1e25fd7c86a93b233e | 685 | py | Python | semana05_shocket/client2.py | maxjacomette/SEII-Max | 0d8eeb4aa6fe106312d05e3ff18535a9c8b619f6 | [
"MIT"
] | null | null | null | semana05_shocket/client2.py | maxjacomette/SEII-Max | 0d8eeb4aa6fe106312d05e3ff18535a9c8b619f6 | [
"MIT"
] | null | null | null | semana05_shocket/client2.py | maxjacomette/SEII-Max | 0d8eeb4aa6fe106312d05e3ff18535a9c8b619f6 | [
"MIT"
] | null | null | null | import socket
HEADERSIZE = 10
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect((socket.gethostname(), 1243))
while True:
full_msg = ''
new_msg = True
while True:
msg = s.recv(16)
if new_msg:
print("new msg len:",msg[:HEADERSIZE])
msglen... | 23.62069 | 54 | 0.535766 |
7c7d70def80a3b250e6ab5928d29a43c61a6770b | 406 | py | Python | onadata/apps/fsforms/migrations/0056_deployevent_form_changed.py | awemulya/fieldsight-kobocat | f302d084e30fb637d43ec638c701e01a3dddc721 | [
"BSD-2-Clause"
] | 38 | 2017-02-28T05:39:40.000Z | 2019-01-16T04:39:04.000Z | onadata/apps/fsforms/migrations/0056_deployevent_form_changed.py | awemulya/fieldsightt | f302d084e30fb637d43ec638c701e01a3dddc721 | [
"BSD-2-Clause"
] | 20 | 2017-04-27T09:14:27.000Z | 2019-01-17T06:35:52.000Z | onadata/apps/fsforms/migrations/0056_deployevent_form_changed.py | awemulya/fieldsightt | f302d084e30fb637d43ec638c701e01a3dddc721 | [
"BSD-2-Clause"
] | 5 | 2017-02-22T12:25:19.000Z | 2019-01-15T11:16:40.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('fsforms', '0055_deployevent'),
]
operations = [
migrations.AddField(
model_name='deployevent',
name=... | 20.3 | 52 | 0.608374 |
c5121161713c924a80f664c18a0e98c9c36c3409 | 1,579 | py | Python | 2021/day13/solution.py | MartinSeeler/Advent-of-Code | efc1972ba0a3e17177d61d163ac79ce7880fab55 | [
"MIT"
] | 5 | 2020-12-18T15:37:20.000Z | 2021-12-18T20:01:21.000Z | 2021/day13/solution.py | MartinSeeler/Advent-of-Code-2020 | efc1972ba0a3e17177d61d163ac79ce7880fab55 | [
"MIT"
] | null | null | null | 2021/day13/solution.py | MartinSeeler/Advent-of-Code-2020 | efc1972ba0a3e17177d61d163ac79ce7880fab55 | [
"MIT"
] | 1 | 2021-12-18T05:29:35.000Z | 2021-12-18T05:29:35.000Z | import time
def solve(top_section: str, bottom_section: str):
dots = set()
for line in top_section.splitlines():
x, y = list(map(int, line.split(",")))
dots.add(complex(x, y))
for line in bottom_section.splitlines():
axis, x = line.split(" ")[2].split("=")
x = int(x)
... | 32.895833 | 85 | 0.559215 |
6fccf3acde358436eee322e508f358d0ee4e298d | 1,280 | py | Python | rllib/examples/env/env_with_subprocess.py | firebolt55439/ray | 215300b070628c06f0106906fc6c03bd70ebf140 | [
"Apache-2.0"
] | 21,382 | 2016-09-26T23:12:52.000Z | 2022-03-31T21:47:45.000Z | rllib/examples/env/env_with_subprocess.py | firebolt55439/ray | 215300b070628c06f0106906fc6c03bd70ebf140 | [
"Apache-2.0"
] | 19,689 | 2016-09-17T08:21:25.000Z | 2022-03-31T23:59:30.000Z | rllib/examples/env/env_with_subprocess.py | firebolt55439/ray | 215300b070628c06f0106906fc6c03bd70ebf140 | [
"Apache-2.0"
] | 4,114 | 2016-09-23T18:54:01.000Z | 2022-03-31T15:07:32.000Z | import atexit
import gym
from gym.spaces import Discrete
import os
import subprocess
class EnvWithSubprocess(gym.Env):
"""An env that spawns a subprocess."""
# Dummy command to run as a subprocess with a unique name
UNIQUE_CMD = "sleep 20"
def __init__(self, config):
self.UNIQUE_FILE_0 = con... | 29.090909 | 66 | 0.63125 |
5cff698691a26d67efaffc176aa7b858522e2335 | 20,596 | py | Python | cgmodsel/prox.py | franknu/cgmodsel | b008ed88e4f10205ee0ff5e9433d5426c1d5ff6a | [
"MIT"
] | 1 | 2020-09-01T08:39:14.000Z | 2020-09-01T08:39:14.000Z | cgmodsel/prox.py | franknu/cgmodsel | b008ed88e4f10205ee0ff5e9433d5426c1d5ff6a | [
"MIT"
] | null | null | null | cgmodsel/prox.py | franknu/cgmodsel | b008ed88e4f10205ee0ff5e9433d5426c1d5ff6a | [
"MIT"
] | 1 | 2020-09-04T13:35:41.000Z | 2020-09-04T13:35:41.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@author: Frank Nussbaum (frank.nussbaum@uni-jena.de), 2019
"""
import numpy as np
#import scipy
#import abc
#import time
from scipy.optimize import approx_fprime
from scipy.linalg import eigh
from scipy import optimize
from cgmodsel.utils import _logsumexp_condprob... | 38.140741 | 114 | 0.550544 |
31a52f28c6c00a1eb0f713b218c20b273b5663c3 | 2,786 | py | Python | lldb/test/API/functionalities/scripted_process/dummy_scripted_process.py | mkinsner/llvm | 589d48844edb12cd357b3024248b93d64b6760bf | [
"Apache-2.0"
] | 653 | 2018-12-27T15:00:01.000Z | 2022-03-30T11:52:23.000Z | lldb/test/API/functionalities/scripted_process/dummy_scripted_process.py | mkinsner/llvm | 589d48844edb12cd357b3024248b93d64b6760bf | [
"Apache-2.0"
] | 3,740 | 2019-01-23T15:36:48.000Z | 2022-03-31T22:01:13.000Z | lldb/test/API/functionalities/scripted_process/dummy_scripted_process.py | mkinsner/llvm | 589d48844edb12cd357b3024248b93d64b6760bf | [
"Apache-2.0"
] | 500 | 2019-01-23T07:49:22.000Z | 2022-03-30T02:59:37.000Z | import os,struct, signal
from typing import Any, Dict
import lldb
from lldb.plugins.scripted_process import ScriptedProcess
from lldb.plugins.scripted_process import ScriptedThread
class DummyScriptedProcess(ScriptedProcess):
def __init__(self, target: lldb.SBTarget, args : lldb.SBStructuredData):
super(... | 30.955556 | 97 | 0.613783 |
36785d6aa40c12df58d1d154ab26baf98aa6f0d9 | 7,730 | py | Python | music21/analysis/correlate.py | cuthbertLab/music21 | 1be16c255460107c10d7b4bc8eb77f0d115b5eac | [
"MIT"
] | 1,449 | 2015-01-09T15:53:56.000Z | 2022-03-31T18:24:46.000Z | music21/analysis/correlate.py | cuthbertLab/music21 | 1be16c255460107c10d7b4bc8eb77f0d115b5eac | [
"MIT"
] | 1,179 | 2015-01-07T17:07:54.000Z | 2022-03-31T16:46:02.000Z | music21/analysis/correlate.py | cuthbertLab/music21 | 1be16c255460107c10d7b4bc8eb77f0d115b5eac | [
"MIT"
] | 393 | 2015-01-03T20:38:16.000Z | 2022-03-25T16:51:22.000Z | # -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
# Name: correlate.py
# Purpose: Stream analyzer designed to correlate and graph two properties
#
# Authors: Christopher Ariza
#
# Copyright: Copyright © 2009-2010 Michael Scott Cuthbert and the ... | 33.175966 | 94 | 0.558085 |
c2e250735093a9eea951ae10e0c3290ea8ed2e4d | 10,557 | py | Python | tests/test_homework.py | MyCodeIsBadTrip/hw02_community | 6927431039da530005c07e635e0aef28b45cf4d3 | [
"BSD-3-Clause"
] | null | null | null | tests/test_homework.py | MyCodeIsBadTrip/hw02_community | 6927431039da530005c07e635e0aef28b45cf4d3 | [
"BSD-3-Clause"
] | 5 | 2021-03-19T12:18:57.000Z | 2021-06-10T20:32:22.000Z | tests/test_homework.py | MyCodeIsBadTrip/hw02_community | 6927431039da530005c07e635e0aef28b45cf4d3 | [
"BSD-3-Clause"
] | null | null | null | import re
import pytest
from django.contrib.admin.sites import site
from django.contrib.auth import get_user_model
from django.db.models import fields
from django.utils import translation
from django.template.loader import get_template
try:
from posts.models import Post
except ImportError:
assert False, 'Не н... | 39.391791 | 117 | 0.617505 |
7f60b2ee59b744e3a9be359efed707c49191004a | 263 | py | Python | tkitDb/__init__.py | napoler/tkitDb | 9042ac26ed3f966480eae2628754f21f99586650 | [
"Apache-2.0"
] | null | null | null | tkitDb/__init__.py | napoler/tkitDb | 9042ac26ed3f966480eae2628754f21f99586650 | [
"Apache-2.0"
] | null | null | null | tkitDb/__init__.py | napoler/tkitDb | 9042ac26ed3f966480eae2628754f21f99586650 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
作者： terrychan
Blog: https://terrychan.org
# 说明：
"""
# from .db import LevelDb, UnQDb
from .lv import lvDb
from .db import UnQDb
from .pkl import PkDb
from .litDb import Lit3Db
# from .search import *
from sqlitedict import SqliteDict | 17.533333 | 33 | 0.703422 |
0f8cb646d1ff0c247836e5e0913c2391a59236f5 | 1,533 | py | Python | last_stone_weight.py | vyshuks/Leetcode-30-day-challenge | aee6050c14670468426b437353f1df99c408a5a9 | [
"MIT"
] | null | null | null | last_stone_weight.py | vyshuks/Leetcode-30-day-challenge | aee6050c14670468426b437353f1df99c408a5a9 | [
"MIT"
] | null | null | null | last_stone_weight.py | vyshuks/Leetcode-30-day-challenge | aee6050c14670468426b437353f1df99c408a5a9 | [
"MIT"
] | null | null | null | We have a collection of stones, each stone has a positive integer weight.
# Each turn, we choose the two heaviest stones and smash them together. Suppose the stones have weights x and y with x <= y. The result of this smash is:
# If x == y, both stones are totally destroyed;
# If x != y, the stone of weight x is to... | 27.872727 | 155 | 0.60013 |
c1e5b8c7638d5280d1203ae2551c1301ed7cedb0 | 7,012 | py | Python | kroonika/settings.py | kalevhark/kroonika | a2d7a80666e742e62a3d2bcf72a597bf103ab9c7 | [
"MIT"
] | 1 | 2020-05-12T05:39:03.000Z | 2020-05-12T05:39:03.000Z | kroonika/settings.py | kalevhark/kroonika | a2d7a80666e742e62a3d2bcf72a597bf103ab9c7 | [
"MIT"
] | 8 | 2019-12-25T21:32:49.000Z | 2022-02-11T19:28:33.000Z | kroonika/settings.py | kalevhark/kroonika | a2d7a80666e742e62a3d2bcf72a597bf103ab9c7 | [
"MIT"
] | null | null | null | """
Django settings for kroonika project.
"""
import configparser
import os
from pathlib import Path
# Starting with 3.2 new projects are generated with DEFAULT_AUTO_FIELD set to BigAutoField
# To avoid unwanted migrations in the future, either explicitly set DEFAULT_AUTO_FIELD to AutoField
DEFAULT_AUTO_FIELD = 'djan... | 31.026549 | 102 | 0.696663 |
0515a04249880de37cdca32759382eaa37c50424 | 8,750 | py | Python | tests/test_valid_csv.py | santiagobasulto/smartcsv | 1c56d757cfe65623c4f0790bc1069c8eaa51af85 | [
"MIT"
] | 81 | 2015-02-05T01:10:06.000Z | 2022-02-11T11:27:20.000Z | tests/test_valid_csv.py | santiagobasulto/smartcsv | 1c56d757cfe65623c4f0790bc1069c8eaa51af85 | [
"MIT"
] | 1 | 2017-02-04T22:58:25.000Z | 2017-02-04T22:58:25.000Z | tests/test_valid_csv.py | santiagobasulto/smartcsv | 1c56d757cfe65623c4f0790bc1069c8eaa51af85 | [
"MIT"
] | 5 | 2016-03-07T03:13:50.000Z | 2018-08-14T22:58:14.000Z | import csv
import six
from copy import deepcopy
if six.PY3:
from io import StringIO
else:
from StringIO import StringIO
from .base import BaseSmartCSVTestCase
from .config import COLUMNS_1, IPHONE_DATA, IPAD_DATA, VALID_TEMPLATE_STR
import smartcsv
class ValidCSVWithHeaderTestCase(BaseSmartCSVTestCase):
... | 33.143939 | 85 | 0.652571 |
8dd97bcdabfe7a5107ed40488cd312bf6fa05adc | 12,819 | py | Python | vmware_nsx/shell/admin/plugins/nsxv/resources/dhcp_binding.py | huihongxiao/vmware-nsx | 00530f9207958df66211e5dba008764106fc82c3 | [
"Apache-2.0"
] | null | null | null | vmware_nsx/shell/admin/plugins/nsxv/resources/dhcp_binding.py | huihongxiao/vmware-nsx | 00530f9207958df66211e5dba008764106fc82c3 | [
"Apache-2.0"
] | null | null | null | vmware_nsx/shell/admin/plugins/nsxv/resources/dhcp_binding.py | huihongxiao/vmware-nsx | 00530f9207958df66211e5dba008764106fc82c3 | [
"Apache-2.0"
] | 1 | 2019-06-21T18:07:53.000Z | 2019-06-21T18:07:53.000Z | # Copyright 2015 VMware, Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... | 40.438486 | 79 | 0.656291 |
f6d765b02f0e5e8844eb7d2df005071dc7824a1d | 659 | py | Python | ietf/person/migrations/0008_auto_20181014_1448.py | hassanakbar4/ietfdb | cabee059092ae776015410640226064331c293b7 | [
"BSD-3-Clause"
] | 25 | 2022-03-05T08:26:52.000Z | 2022-03-30T15:45:42.000Z | ietf/person/migrations/0008_auto_20181014_1448.py | hassanakbar4/ietfdb | cabee059092ae776015410640226064331c293b7 | [
"BSD-3-Clause"
] | 219 | 2022-03-04T17:29:12.000Z | 2022-03-31T21:16:14.000Z | ietf/person/migrations/0008_auto_20181014_1448.py | hassanakbar4/ietfdb | cabee059092ae776015410640226064331c293b7 | [
"BSD-3-Clause"
] | 22 | 2022-03-04T15:34:34.000Z | 2022-03-28T13:30:59.000Z | # Copyright The IETF Trust 2018-2020, All Rights Reserved
# -*- coding: utf-8 -*-
# Generated by Django 1.11.16 on 2018-10-14 14:48
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('person', '0007_auto_20180929_1303'),
]
operations = [
m... | 29.954545 | 229 | 0.637329 |
61347cae90bededb80dfbfc571a4f9b12c8e9e28 | 6,664 | py | Python | unicycle.py | mrdmnd/unicycle | acd73f9c68c5c5b4630fd47b17c1233e9711ba35 | [
"Apache-2.0"
] | null | null | null | unicycle.py | mrdmnd/unicycle | acd73f9c68c5c5b4630fd47b17c1233e9711ba35 | [
"Apache-2.0"
] | null | null | null | unicycle.py | mrdmnd/unicycle | acd73f9c68c5c5b4630fd47b17c1233e9711ba35 | [
"Apache-2.0"
] | null | null | null | """ Compare lyft bikeshare ridership against NTD data on a per-month basis since 2018-01. """
from collections import namedtuple
from collections import defaultdict
import pandas as pd
import datetime
import requests
import os
import io
import sys
import zipfile
import multiprocessing
# Some static metadata about th... | 43.842105 | 156 | 0.701681 |
30f33a5a641636493647aae47bbc17c91f137452 | 221 | py | Python | store/forms.py | gitRipan/greatkart | 2ea1a60f7d87ba86716bd50666b7b3ed804254ce | [
"MIT"
] | null | null | null | store/forms.py | gitRipan/greatkart | 2ea1a60f7d87ba86716bd50666b7b3ed804254ce | [
"MIT"
] | null | null | null | store/forms.py | gitRipan/greatkart | 2ea1a60f7d87ba86716bd50666b7b3ed804254ce | [
"MIT"
] | null | null | null | from django import forms
from django.forms import fields
from .models import ReviewRating
class ReviewForm(forms.ModelForm):
class Meta:
model = ReviewRating
fields = ['subject', 'review', 'rating']
| 22.1 | 48 | 0.705882 |
2e03f5a11556ac9ed6f7cf78590d58ae5bf457b6 | 880 | py | Python | setup.py | AliGhahraei/verarandom | a62eb93714c0caa47b2eafce5519c873f6ccf461 | [
"MIT"
] | null | null | null | setup.py | AliGhahraei/verarandom | a62eb93714c0caa47b2eafce5519c873f6ccf461 | [
"MIT"
] | 4 | 2021-03-20T01:57:31.000Z | 2021-06-01T22:44:01.000Z | setup.py | AliGhahraei/verarandom | a62eb93714c0caa47b2eafce5519c873f6ccf461 | [
"MIT"
] | null | null | null | from re import search
from setuptools import setup, find_packages
name = 'verarandom'
with open("README.md") as f:
long_description = f.read()
with open(f'{name}/__init__.py') as f:
version = search(r"__version__ = '(.*)'", f.read()).group(1)
setup(
name=name,
version=version,
description='Tru... | 25.142857 | 64 | 0.6625 |
68402c0b32cf287afd7a7dc1bbc8efa022723ae2 | 8,039 | py | Python | ax/modelbridge/transforms/power_transform_y.py | j-wilson/Ax | 555489d0fd743e5422ab3a1994f8e4d44275ae21 | [
"MIT"
] | 1 | 2022-02-10T10:51:40.000Z | 2022-02-10T10:51:40.000Z | ax/modelbridge/transforms/power_transform_y.py | j-wilson/Ax | 555489d0fd743e5422ab3a1994f8e4d44275ae21 | [
"MIT"
] | null | null | null | ax/modelbridge/transforms/power_transform_y.py | j-wilson/Ax | 555489d0fd743e5422ab3a1994f8e4d44275ae21 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import annotations
from collections import defaultdict
from typing import TYPE_CHECKING, Dict, List,... | 42.989305 | 88 | 0.630675 |
23397d76cc36211ba32407e990f1f81a14cfa2b0 | 5,046 | py | Python | tensorflow/python/compiler/tensorrt/test/combined_nms_test.py | MatthiasHertel80/tensorflow | 390cccbcda0f8dfc070ed7040f218827a0ced875 | [
"Apache-2.0"
] | 2 | 2019-10-29T14:56:17.000Z | 2020-02-23T14:53:09.000Z | tensorflow/python/compiler/tensorrt/test/combined_nms_test.py | MatthiasHertel80/tensorflow | 390cccbcda0f8dfc070ed7040f218827a0ced875 | [
"Apache-2.0"
] | 2 | 2021-11-10T20:00:02.000Z | 2022-02-10T02:43:47.000Z | tensorflow/python/compiler/tensorrt/test/combined_nms_test.py | MatthiasHertel80/tensorflow | 390cccbcda0f8dfc070ed7040f218827a0ced875 | [
"Apache-2.0"
] | 6 | 2019-10-28T19:15:44.000Z | 2022-03-31T02:55:44.000Z | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 37.93985 | 93 | 0.706698 |
093933825ad7f6f48c46bb3a3bd13c304ed5d547 | 1,984 | py | Python | tests/test_aata_modeling_series.py | probonas/pipeline | 96f565f2d827498efd31a7e76b74e0394ef2abc1 | [
"Apache-2.0"
] | 5 | 2020-04-11T15:12:07.000Z | 2021-09-13T04:15:47.000Z | tests/test_aata_modeling_series.py | probonas/pipeline | 96f565f2d827498efd31a7e76b74e0394ef2abc1 | [
"Apache-2.0"
] | 46 | 2019-04-22T20:36:40.000Z | 2022-01-12T18:03:32.000Z | tests/test_aata_modeling_series.py | probonas/pipeline | 96f565f2d827498efd31a7e76b74e0394ef2abc1 | [
"Apache-2.0"
] | 2 | 2020-05-27T20:49:53.000Z | 2021-03-17T04:21:38.000Z | #!/usr/bin/env python3 -B
import unittest
import os
import os.path
import hashlib
import json
import uuid
import pprint
import inspect
from itertools import groupby
from pathlib import Path
import warnings
from tests import TestAATAPipelineOutput
from cromulent import vocab
vocab.add_attribute_assignment_check()
cla... | 30.060606 | 95 | 0.754032 |
8bb793483b8de51fe37aa2da41bf3ae4564247d8 | 1,075 | py | Python | statchecker.py | dustyweasel/silicatewastes | 4bb17251969ef2fea5b96b261a7300c771ad5eda | [
"MIT"
] | null | null | null | statchecker.py | dustyweasel/silicatewastes | 4bb17251969ef2fea5b96b261a7300c771ad5eda | [
"MIT"
] | null | null | null | statchecker.py | dustyweasel/silicatewastes | 4bb17251969ef2fea5b96b261a7300c771ad5eda | [
"MIT"
] | null | null | null | #maybe kill dustyweasel in mariadb after you're done with this
#make another script like this for updating folders, that weaselwork approute and its timouts suck.
#no my password isn't "asdf", pop a pill
import pymysql
#import os
#import sys
db = pymysql.connect("localhost","dustyweasel","asdf","silicatewastes" )
cur... | 27.564103 | 99 | 0.608372 |
2e648e836a8bba5c1ebdce2c59ab31fc904e22de | 3,666 | py | Python | data_loader.py | Jungjaewon/fashion_segmentation | a27c3764620aeb1d2bbbaecf08f26909b991d8e5 | [
"Apache-2.0"
] | null | null | null | data_loader.py | Jungjaewon/fashion_segmentation | a27c3764620aeb1d2bbbaecf08f26909b991d8e5 | [
"Apache-2.0"
] | null | null | null | data_loader.py | Jungjaewon/fashion_segmentation | a27c3764620aeb1d2bbbaecf08f26909b991d8e5 | [
"Apache-2.0"
] | null | null | null | import os
import os.path as osp
import glob
import pickle
import torch
import numpy as np
import random
import torchvision.transforms.functional as TF
from torch.utils import data
from torchvision import transforms as T
from PIL import Image
def load_pickle(path):
with open(path, 'rb') as fp:
data = pic... | 33.327273 | 107 | 0.597381 |
cf8c600c2bedf1f5c5712bb96cc3cebf7d14613a | 2,170 | py | Python | holmium/core/conditions.py | alisaifee/holmium.core | 026441584537b83e8a2743490be78a4c8f07a510 | [
"MIT"
] | 38 | 2015-03-12T05:23:26.000Z | 2021-11-18T09:26:25.000Z | holmium/core/conditions.py | alisaifee/holmium.core | 026441584537b83e8a2743490be78a4c8f07a510 | [
"MIT"
] | 16 | 2015-02-17T01:07:32.000Z | 2021-07-10T15:47:26.000Z | holmium/core/conditions.py | alisaifee/holmium.core | 026441584537b83e8a2743490be78a4c8f07a510 | [
"MIT"
] | 25 | 2015-03-24T21:45:50.000Z | 2021-07-05T07:29:54.000Z | """
utility callables to be passed to holmium.core.Element(s) only_if parameter
"""
from abc import ABCMeta, abstractmethod
import re
import threading
from six import add_metaclass
@add_metaclass(ABCMeta)
class BaseCondition(object):
"""
base class to implement conditions passed
to the ``only_if`` paramet... | 22.142857 | 75 | 0.660829 |
325efde522914971ca76062cb12046d754e93174 | 747 | py | Python | misc/config_tools/board_inspector/extractors/30-memory.py | donsheng/acrn-hypervisor | 79edf8ba08f3f6d11d1ccf464b208c80b5b0fd24 | [
"BSD-3-Clause"
] | 848 | 2018-03-06T01:20:35.000Z | 2022-03-31T05:47:50.000Z | misc/config_tools/board_inspector/extractors/30-memory.py | donsheng/acrn-hypervisor | 79edf8ba08f3f6d11d1ccf464b208c80b5b0fd24 | [
"BSD-3-Clause"
] | 6,483 | 2018-03-09T05:29:36.000Z | 2022-03-31T20:39:35.000Z | misc/config_tools/board_inspector/extractors/30-memory.py | donsheng/acrn-hypervisor | 79edf8ba08f3f6d11d1ccf464b208c80b5b0fd24 | [
"BSD-3-Clause"
] | 593 | 2018-03-06T07:04:42.000Z | 2022-03-29T15:39:27.000Z | # Copyright (C) 2021 Intel Corporation. All rights reserved.
#
# SPDX-License-Identifier: BSD-3-Clause
#
import logging
import lxml.etree
from memmapparser import parse_e820, e820
from extractors.helpers import get_node, add_child
def extract_layout(memory_node):
e820_table = parse_e820()
for e820_entry in e... | 31.125 | 81 | 0.700134 |
0e1adb7dd7418164e19eada6d0475a0f1d160713 | 1,089 | py | Python | setup.py | mgrouchy/twython | 1d724328383f4dc16aa957fb0089ac0057bb0d74 | [
"MIT"
] | 1 | 2015-06-03T21:18:40.000Z | 2015-06-03T21:18:40.000Z | setup.py | mgrouchy/twython | 1d724328383f4dc16aa957fb0089ac0057bb0d74 | [
"MIT"
] | null | null | null | setup.py | mgrouchy/twython | 1d724328383f4dc16aa957fb0089ac0057bb0d74 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from setuptools import setup
from setuptools import find_packages
__author__ = 'Ryan McGrath <ryan@venodesigns.net>'
__version__ = '2.4.0'
setup(
# Basic package information.
name='twython',
version=__version__,
packages=find_packages(),
# Packaging options.
include_pac... | 28.657895 | 83 | 0.662994 |
95919c0c3eaa186735f7536c05a6c66fbe16eb1c | 1,622 | py | Python | resources/news.py | PythonForChange/PythonForChange.github.io- | 3176d85f56dcb1ece08f437ae72282d60386ae81 | [
"MIT"
] | 1 | 2021-06-02T17:08:26.000Z | 2021-06-02T17:08:26.000Z | resources/news.py | PythonForChange/pythonforchange.github.io | 3176d85f56dcb1ece08f437ae72282d60386ae81 | [
"MIT"
] | null | null | null | resources/news.py | PythonForChange/pythonforchange.github.io | 3176d85f56dcb1ece08f437ae72282d60386ae81 | [
"MIT"
] | null | null | null | from resources.utils import clearConsole,sleep
class New():
def __init__(self,title: str, day: int, month: int ,year: int = 2021, files = ["README.md"]):
self.title=title
if day<10:
newday="0"+str(day)
else:
newday=str(day)
if month<10:
newmonth="0"+str(month)
else:
newmon... | 22.219178 | 95 | 0.540074 |
cbff7aaeabe7ea4d5af3c2e4200520feccd50fff | 8,807 | py | Python | frappe/utils/oauth.py | badili/frappe | 8177d7e745f511fcc4da50fed9e291a58172a613 | [
"MIT"
] | null | null | null | frappe/utils/oauth.py | badili/frappe | 8177d7e745f511fcc4da50fed9e291a58172a613 | [
"MIT"
] | 7 | 2016-05-30T04:03:38.000Z | 2019-02-03T03:10:03.000Z | frappe/utils/oauth.py | badili/frappe | 8177d7e745f511fcc4da50fed9e291a58172a613 | [
"MIT"
] | 5 | 2015-07-22T04:52:43.000Z | 2016-10-07T01:51:21.000Z | # Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
# MIT License. See license.txt
from __future__ import unicode_literals
import frappe
import frappe.utils
import json
from frappe import _
class SignupDisabledError(frappe.PermissionError): pass
def get_oauth2_providers():
return {
"google": {
... | 29.162252 | 112 | 0.70989 |
ea41df1ab78cb25188c3054d2337dd35308b6d2c | 7,373 | py | Python | tests/python/pants_test/pantsd/pantsd_integration_test_base.py | tpasternak/pants | edf5716283d449852309fff1a10dd351dfbf3493 | [
"Apache-2.0"
] | 1 | 2021-05-05T18:58:28.000Z | 2021-05-05T18:58:28.000Z | tests/python/pants_test/pantsd/pantsd_integration_test_base.py | tpasternak/pants | edf5716283d449852309fff1a10dd351dfbf3493 | [
"Apache-2.0"
] | null | null | null | tests/python/pants_test/pantsd/pantsd_integration_test_base.py | tpasternak/pants | edf5716283d449852309fff1a10dd351dfbf3493 | [
"Apache-2.0"
] | 3 | 2020-06-30T08:28:13.000Z | 2021-07-28T09:35:57.000Z | # Copyright 2018 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
import functools
import os
import time
from contextlib import contextmanager
import psutil
from colors import bold, cyan, magenta
from pants.pantsd.process_manager import ProcessManager
... | 36.5 | 105 | 0.594331 |
47e88fdc459614984ca2f03831fe3464899b3d5c | 7,253 | py | Python | swarmsim-2d/run_env.py | grohith327/2D-Drone-SwarmSim | ddaaff57266e7092b44a843ca671a4dc405fd7b8 | [
"MIT"
] | 2 | 2021-10-12T19:28:14.000Z | 2022-03-22T18:36:45.000Z | swarmsim-2d/run_env.py | grohith327/2D-Drone-SwarmSim | ddaaff57266e7092b44a843ca671a4dc405fd7b8 | [
"MIT"
] | null | null | null | swarmsim-2d/run_env.py | grohith327/2D-Drone-SwarmSim | ddaaff57266e7092b44a843ca671a4dc405fd7b8 | [
"MIT"
] | 1 | 2020-07-20T02:37:17.000Z | 2020-07-20T02:37:17.000Z | import arcade
import random
import numpy as np
import argparse
from functools import reduce
import sys
import time
from goals import NormalGoal, AnomalousGoal
from drone import Drone
parser = argparse.ArgumentParser(description="Drone Swarm Simulation")
parser.add_argument("--num_drones", type=int, default=3, help="To... | 33.270642 | 87 | 0.5577 |
ec3d2a4dcb98b7d2e0a9d817cadf3a5e31bbd08b | 63 | py | Python | macrokit/ipython/__init__.py | hanjinliu/macro-kit | 61ebc38ea1086337d5a7477c6e896af0220f8a71 | [
"BSD-3-Clause"
] | 2 | 2021-11-02T09:53:49.000Z | 2021-11-10T10:33:05.000Z | macrokit/ipython/__init__.py | hanjinliu/macro-kit | 61ebc38ea1086337d5a7477c6e896af0220f8a71 | [
"BSD-3-Clause"
] | null | null | null | macrokit/ipython/__init__.py | hanjinliu/macro-kit | 61ebc38ea1086337d5a7477c6e896af0220f8a71 | [
"BSD-3-Clause"
] | null | null | null | from .magic import register_magic
__all__ = ["register_magic"] | 21 | 33 | 0.793651 |
f7afdd3a2f6df2f9d618341145e9e8e2378ed729 | 9,985 | py | Python | venv/lib/python3.6/site-packages/ansible_collections/fortinet/fortimanager/plugins/modules/fmgr_system_certificate_ca.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | 1 | 2020-01-22T13:11:23.000Z | 2020-01-22T13:11:23.000Z | venv/lib/python3.6/site-packages/ansible_collections/fortinet/fortimanager/plugins/modules/fmgr_system_certificate_ca.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | 12 | 2020-02-21T07:24:52.000Z | 2020-04-14T09:54:32.000Z | venv/lib/python3.6/site-packages/ansible_collections/fortinet/fortimanager/plugins/modules/fmgr_system_certificate_ca.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | null | null | null | #!/usr/bin/python
from __future__ import absolute_import, division, print_function
# Copyright 2019-2021 Fortinet, Inc.
#
# This program 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 version 3 of the ... | 31.900958 | 153 | 0.545719 |
bbeb4673aa37724067a3d05714d163cdd08a62b0 | 9,198 | py | Python | qradiomics/util/organize_features.py | taznux/radiomics-tools | 74d3b314ddc00427fd7f2a17f79fbde372dee2ce | [
"MIT"
] | 18 | 2016-07-01T20:37:27.000Z | 2021-12-29T07:16:29.000Z | Tools/PythonTools/organize_features.py | taznux/radiomics-tools | 74d3b314ddc00427fd7f2a17f79fbde372dee2ce | [
"MIT"
] | 13 | 2016-07-18T22:14:19.000Z | 2019-08-29T15:33:07.000Z | qradiomics/util/organize_features.py | taznux/radiomics-tools | 74d3b314ddc00427fd7f2a17f79fbde372dee2ce | [
"MIT"
] | 13 | 2016-08-27T06:59:07.000Z | 2021-01-04T07:41:27.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
This is a script file for organizing features from each individual into a single csv file.
"""
import os
import sys
import glob
parameter_list = ['No.', 'PID', 'Image', 'Tags']
shape_feature = ['PhysicalSize', 'BoundingBoxVolume', 'BoundingBoxSize1', 'BoundingBoxSize... | 42.387097 | 163 | 0.616438 |
4362ff2bad6937e464d1bc5ede666851fbc3926a | 2,769 | py | Python | data/image_folder.py | jiye-ML/CoCosNet | c4b3f44393462c8353c6c6952d7b05496298df1c | [
"MIT"
] | 319 | 2020-06-19T09:09:06.000Z | 2022-03-30T15:40:25.000Z | data/image_folder.py | jiye-ML/CoCosNet | c4b3f44393462c8353c6c6952d7b05496298df1c | [
"MIT"
] | 36 | 2020-06-19T18:04:52.000Z | 2021-08-11T07:44:02.000Z | data/image_folder.py | jiye-ML/CoCosNet | c4b3f44393462c8353c6c6952d7b05496298df1c | [
"MIT"
] | 45 | 2020-06-19T09:06:20.000Z | 2022-03-17T05:04:20.000Z | """
Copyright (C) 2019 NVIDIA Corporation. All rights reserved.
Licensed under the CC BY-NC-SA 4.0 license (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode).
"""
import torch.utils.data as data
from PIL import Image
import os
IMG_EXTENSIONS = [
'.jpg', '.JPG', '.jpeg', '.JPEG',
'.png', '.PNG', '.... | 29.774194 | 105 | 0.585049 |
94c395cf965d840f550d680f4bdc5c137a9edd2d | 675 | py | Python | solutions/kickstart/2018/practice/gbus-count.py | zwliew/ctci | 871f4fc957be96c6d0749d205549b7b35dc53d9e | [
"MIT"
] | 4 | 2020-11-07T14:38:02.000Z | 2022-01-03T19:02:36.000Z | solutions/kickstart/2018/practice/gbus-count.py | zwliew/ctci | 871f4fc957be96c6d0749d205549b7b35dc53d9e | [
"MIT"
] | 1 | 2019-04-17T06:55:14.000Z | 2019-04-17T06:55:14.000Z | solutions/kickstart/2018/practice/gbus-count.py | zwliew/ctci | 871f4fc957be96c6d0749d205549b7b35dc53d9e | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import functools
T = int(input())
for t in range(T):
N = input()
if N == "":
N = int(input())
else:
N = int(N)
cities = input().split(" ")
cities = [int(s) for s in cities[: len(cities) - 1]]
P = int(input())
counts = [0 for i in range(P)]
for p i... | 23.275862 | 78 | 0.434074 |
acf6f8bbcab7fee1bf0a208d4a4c468a9798720f | 1,666 | py | Python | scripts/demo_rot_2d.py | jejjohnson/rbig_jax | 112e064d5b62631aa03b7563c9eb9f115ab23eb0 | [
"MIT"
] | null | null | null | scripts/demo_rot_2d.py | jejjohnson/rbig_jax | 112e064d5b62631aa03b7563c9eb9f115ab23eb0 | [
"MIT"
] | null | null | null | scripts/demo_rot_2d.py | jejjohnson/rbig_jax | 112e064d5b62631aa03b7563c9eb9f115ab23eb0 | [
"MIT"
] | null | null | null | # JAX SETTINGS
import jax
import jax.numpy as np
# Plot Functions
import matplotlib.pyplot as plt
import numpy as onp
import seaborn as sns
from scipy.stats import beta
from rbig_jax.data import get_classic
from rbig_jax.transforms.linear import init_pca_params
sns.reset_defaults()
sns.set_context(context="talk", fon... | 23.138889 | 78 | 0.654862 |
50c02241690e637d845f1ff2e9d301a015b0c149 | 3,356 | py | Python | tests/configure/test_cli.py | diraol/databricks-cli | 5f1f44252e6573fde8b75ee4c630aa69dbe29cf5 | [
"Apache-2.0"
] | null | null | null | tests/configure/test_cli.py | diraol/databricks-cli | 5f1f44252e6573fde8b75ee4c630aa69dbe29cf5 | [
"Apache-2.0"
] | null | null | null | tests/configure/test_cli.py | diraol/databricks-cli | 5f1f44252e6573fde8b75ee4c630aa69dbe29cf5 | [
"Apache-2.0"
] | null | null | null | # Databricks CLI
# Copyright 2017 Databricks, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"), except
# that the use of services to which certain application programming
# interfaces (each, an "API") connect requires that the user first obtain
# a license for the use of the APIs from Databricks,... | 41.95 | 85 | 0.718117 |
05e8f04bbec702444922fa34119bd56c15d8d589 | 2,025 | py | Python | cirq/quantum_phase_estimation.py | milind-u/quantum-computing | d9b4fd120f9bcf05ec4556b066459ec341dc92d8 | [
"MIT"
] | 1 | 2021-09-05T16:33:03.000Z | 2021-09-05T16:33:03.000Z | cirq/quantum_phase_estimation.py | milind-u/quantum-computing | d9b4fd120f9bcf05ec4556b066459ec341dc92d8 | [
"MIT"
] | null | null | null | cirq/quantum_phase_estimation.py | milind-u/quantum-computing | d9b4fd120f9bcf05ec4556b066459ec341dc92d8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import math
import cirq
import numpy as np
import quantum_fourier_transform
def _eigenvalue(theta):
return math.e**(((2 * math.pi) * theta) * 1j)
_THETA = 1 / 3
_U = np.matrix([[1, 0], [0, _eigenvalue(_THETA)]])
class _UnknownGate(cirq.Gate):
def __init__(self, u=_U, power=1):
... | 24.39759 | 74 | 0.641481 |
c92b3d4fcf78c8f409e03f01a44a4b8abab39f11 | 390 | py | Python | users/migrations/0004_review_imdb.py | JackShen1/movie-finder | 4cfb4836a0183678ceec0dce2e4fb95df28832aa | [
"MIT"
] | 1 | 2021-07-08T21:36:19.000Z | 2021-07-08T21:36:19.000Z | users/migrations/0004_review_imdb.py | JackShen1/movie-finder | 4cfb4836a0183678ceec0dce2e4fb95df28832aa | [
"MIT"
] | null | null | null | users/migrations/0004_review_imdb.py | JackShen1/movie-finder | 4cfb4836a0183678ceec0dce2e4fb95df28832aa | [
"MIT"
] | null | null | null | # Generated by Django 3.1 on 2021-07-19 18:56
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('users', '0003_auto_20210712_1523'),
]
operations = [
migrations.AddField(
model_name='review',
name='imdb',
... | 20.526316 | 62 | 0.597436 |
6980a6632e60d5dcddfd7d8a7e2034d06f69b42f | 1,505 | py | Python | setup.py | KeyvanJS/electrumx | d2d82472eacfc0516f97b9eac5b23d069fd2bd51 | [
"MIT"
] | null | null | null | setup.py | KeyvanJS/electrumx | d2d82472eacfc0516f97b9eac5b23d069fd2bd51 | [
"MIT"
] | null | null | null | setup.py | KeyvanJS/electrumx | d2d82472eacfc0516f97b9eac5b23d069fd2bd51 | [
"MIT"
] | 2 | 2019-07-12T19:33:49.000Z | 2020-01-26T22:43:57.000Z | import setuptools
version = '1.11.0'
setuptools.setup(
name='electrumX',
version=version,
scripts=['electrumx_server', 'electrumx_rpc', 'electrumx_compact_history'],
python_requires='>=3.6',
install_requires=['aiorpcX>=0.17.0,<0.18', 'attrs',
'plyvel', 'pylru', 'aiohttp>=3.3']... | 36.707317 | 91 | 0.591362 |
cdea6bc17ebab1dda950c719fe98c1ebf1af7f7f | 291 | py | Python | Leetcoding-Actions/Explore-Learn/HashTable/intersectionOfTwoArrays.py | shoaibur/SWE | 1e114a2750f2df5d6c50b48c8e439224894d65da | [
"MIT"
] | 1 | 2020-11-14T18:28:13.000Z | 2020-11-14T18:28:13.000Z | Leetcoding-Actions/Explore-Learn/HashTable/intersectionOfTwoArrays.py | shoaibur/SWE | 1e114a2750f2df5d6c50b48c8e439224894d65da | [
"MIT"
] | null | null | null | Leetcoding-Actions/Explore-Learn/HashTable/intersectionOfTwoArrays.py | shoaibur/SWE | 1e114a2750f2df5d6c50b48c8e439224894d65da | [
"MIT"
] | null | null | null | class Solution:
def intersection(self, nums1: List[int], nums2: List[int]) -> List[int]:
nums1Set = set(nums1)
nums2Set = set(nums2)
result = set()
for num in nums1Set:
if num in nums2Set:
result.add(num)
return result
| 29.1 | 76 | 0.546392 |
c523362cef668e355a9c0dc4cce4db35ed020794 | 9,196 | py | Python | code_python/1.2/sobel-filter.py | pinxau1000/Computer-Vision | c1d8da241dfe39467aaa65777c725fdebffe35cf | [
"MIT"
] | null | null | null | code_python/1.2/sobel-filter.py | pinxau1000/Computer-Vision | c1d8da241dfe39467aaa65777c725fdebffe35cf | [
"MIT"
] | null | null | null | code_python/1.2/sobel-filter.py | pinxau1000/Computer-Vision | c1d8da241dfe39467aaa65777c725fdebffe35cf | [
"MIT"
] | null | null | null | # ------------------------------------------------------------------------------
# IMPORTS
# ------------------------------------------------------------------------------
from sys import version_info
from sys import path as syspath
from os import path
import json
_CURRENT_DIRECTORY =... | 37.382114 | 110 | 0.529143 |
48613239cf905e1cf48f14f3e0896adfb02a32d8 | 864 | py | Python | pybpf/__init__.py | kovacsgb/pybpf | d88cdf6e60fad95d1a314a1df4575a834d0fa02e | [
"MIT"
] | null | null | null | pybpf/__init__.py | kovacsgb/pybpf | d88cdf6e60fad95d1a314a1df4575a834d0fa02e | [
"MIT"
] | null | null | null | pybpf/__init__.py | kovacsgb/pybpf | d88cdf6e60fad95d1a314a1df4575a834d0fa02e | [
"MIT"
] | null | null | null | """
PyBpf
=====
This package is meant for a modern interface for dealing with the
outputs of Budapest-Florida code (Yecko et al. 1996.).
Current Features
----------------
- Full interface for fort.95,fort.18 and fort.19 files
- OOP datastructure for easy acces all the data
- Ionization fraction calculations for t... | 22.736842 | 68 | 0.72338 |
e66e5dfaeba217611b55443421f760482ef16ac2 | 1,682 | py | Python | tests/plugins/misc_notifications.py | brocoinofficial/lightning-master | 9a24c1c12bdf1e150bd2e76d73dde4bb9f9fe77a | [
"MIT"
] | null | null | null | tests/plugins/misc_notifications.py | brocoinofficial/lightning-master | 9a24c1c12bdf1e150bd2e76d73dde4bb9f9fe77a | [
"MIT"
] | null | null | null | tests/plugins/misc_notifications.py | brocoinofficial/lightning-master | 9a24c1c12bdf1e150bd2e76d73dde4bb9f9fe77a | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""Plugin to be used to test miscellaneous notifications.
"""
from pyln.client import Plugin, RpcError
import sys
import pytest
plugin = Plugin()
@plugin.init()
def init(plugin, options, configuration):
plugin.log("misc_notifications initialized")
@plugin.subscribe("channel_opened")
def... | 32.346154 | 95 | 0.665279 |
b85670dad9c908c6d1ff486e69d79d68f7954970 | 2,046 | py | Python | objective_weights_mcda/additions.py | energyinpython/objective-weights-for-mcda | 95f6e550628717dd40e15b0ae9d13f0b6c193a51 | [
"MIT"
] | null | null | null | objective_weights_mcda/additions.py | energyinpython/objective-weights-for-mcda | 95f6e550628717dd40e15b0ae9d13f0b6c193a51 | [
"MIT"
] | null | null | null | objective_weights_mcda/additions.py | energyinpython/objective-weights-for-mcda | 95f6e550628717dd40e15b0ae9d13f0b6c193a51 | [
"MIT"
] | null | null | null | import numpy as np
# reverse = True: descending order ( for example TOPSIS, CODAS), False: ascending order (for example VIKOR, SPOTIS)
def rank_preferences(pref, reverse = True):
"""Rank alternatives according to MCDA preference function values. If more than one alternative
have the same preference function va... | 47.581395 | 117 | 0.676442 |
36d3cbd274b274990c809b9aa38bedabccdf862a | 1,865 | py | Python | so_arm_nav/scripts/get_arm_pose.py | mw46d/so_arm | b36237bae8a773b0069f8611c98a3cd469600c56 | [
"MIT"
] | 9 | 2017-08-22T13:07:13.000Z | 2021-07-13T10:02:29.000Z | so_arm_nav/scripts/get_arm_pose.py | mw46d/so_arm | b36237bae8a773b0069f8611c98a3cd469600c56 | [
"MIT"
] | 1 | 2017-12-14T06:46:58.000Z | 2017-12-14T06:46:58.000Z | so_arm_nav/scripts/get_arm_pose.py | mw46d/so_arm | b36237bae8a773b0069f8611c98a3cd469600c56 | [
"MIT"
] | 5 | 2018-02-07T14:09:28.000Z | 2021-01-08T20:41:52.000Z | #!/usr/bin/env python
"""
Display the current joint positions of the arm in kinematic order of the links
"""
import rospy, sys
import moveit_commander
from moveit_commander import MoveGroupCommander
class GetJointStates:
def __init__(self):
# Initialize the move_group API
moveit_commander.roscp... | 32.155172 | 78 | 0.613941 |
9433b9917a164027d4fff5250fb564054e4ec479 | 1,008 | py | Python | utils/count_classes_train_test.py | abhatta1234/face_analysis_pytorch | 2abe930c0ca02a1fd819d4710fd9bff392f32f58 | [
"MIT"
] | 27 | 2020-05-19T16:51:42.000Z | 2022-02-28T05:00:16.000Z | utils/count_classes_train_test.py | abhatta1234/face_analysis_pytorch | 2abe930c0ca02a1fd819d4710fd9bff392f32f58 | [
"MIT"
] | 3 | 2020-04-09T04:46:24.000Z | 2020-10-21T18:57:05.000Z | utils/count_classes_train_test.py | abhatta1234/face_analysis_pytorch | 2abe930c0ca02a1fd819d4710fd9bff392f32f58 | [
"MIT"
] | 10 | 2020-05-11T19:50:30.000Z | 2022-03-16T11:49:52.000Z | import argparse
import random
import numpy as np
ATTRIBUTES = {"race": 1, "gender": 2, "age": 3}
def get_classes_count(array):
array = np.sort(array.astype("int"))
classes_dict = {}
classes, classes_count = np.unique(array, return_counts=True)
for i in range(len(classes)):
classes_dict[clas... | 24.585366 | 88 | 0.665675 |
23182307a4343d2cd471d2cfd4b80c31b5e7479c | 2,978 | py | Python | action/arbiter.py | J4CKVVH173/evolution2.0 | 8f36b010caf9f22b3d0fcb2d45b7a1020313266e | [
"MIT"
] | null | null | null | action/arbiter.py | J4CKVVH173/evolution2.0 | 8f36b010caf9f22b3d0fcb2d45b7a1020313266e | [
"MIT"
] | null | null | null | action/arbiter.py | J4CKVVH173/evolution2.0 | 8f36b010caf9f22b3d0fcb2d45b7a1020313266e | [
"MIT"
] | null | null | null | from abc import ABC, abstractmethod
from typing import Tuple
from cells import BaseCell
from action.arbiter_handler import StartMove, Move, EatHerbFood, Reproduction
class ActionContext:
"""Контекст для стратегий взаимодействия с миром."""
_strategy: "Arbiter" = None
def set_strategy(self, strategy: "... | 30.387755 | 120 | 0.640027 |
23e6859a70daee77c94e14051537060fd5616817 | 76,575 | py | Python | theano/sparse/opt.py | MarcoGorelli/Theano-PyMC | 55ef0e6b7380e062bdd09fcd7f820643f8521fb0 | [
"BSD-3-Clause"
] | null | null | null | theano/sparse/opt.py | MarcoGorelli/Theano-PyMC | 55ef0e6b7380e062bdd09fcd7f820643f8521fb0 | [
"BSD-3-Clause"
] | null | null | null | theano/sparse/opt.py | MarcoGorelli/Theano-PyMC | 55ef0e6b7380e062bdd09fcd7f820643f8521fb0 | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
import scipy
import theano
from theano import gof, scalar, tensor
from theano.sparse import basic as sparse
from theano.sparse.basic import (
CSC,
CSR,
csm_data,
csm_grad,
csm_indices,
csm_indptr,
csm_properties,
usmm,
)
from theano.tensor import blas
from theano.tens... | 36.868079 | 149 | 0.566817 |
a11ad795996bd76d22d1b3b6cdf73500f1986aba | 78,435 | py | Python | selfdrive/car/toyota/values.py | Kadantte/openpilot | db7b49c71cfc420259d99d3a4a6f0972b4f887e8 | [
"MIT"
] | 1 | 2022-03-17T07:17:41.000Z | 2022-03-17T07:17:41.000Z | selfdrive/car/toyota/values.py | meiling222/openpilot | db7b49c71cfc420259d99d3a4a6f0972b4f887e8 | [
"MIT"
] | 2 | 2022-01-25T22:23:41.000Z | 2022-01-26T02:57:58.000Z | selfdrive/car/toyota/values.py | meiling222/openpilot | db7b49c71cfc420259d99d3a4a6f0972b4f887e8 | [
"MIT"
] | null | null | null | from collections import defaultdict
from dataclasses import dataclass
from enum import Enum, IntFlag
from typing import Dict, List, Union
from cereal import car
from common.conversions import Conversions as CV
from selfdrive.car import dbc_dict
from selfdrive.car.docs_definitions import CarFootnote, CarInfo, Column, S... | 43.310326 | 260 | 0.657576 |
ea75bf35d4b03e020f16c611c9307825f1c02b25 | 9,636 | py | Python | pentestui/pentest_api/attacks/kerberos/modules/dcerpc/v5/samr.py | mustgundogdu/PentestUI | 92263ea73bd2eaa2081fb277c76aa229103a1d54 | [
"Apache-2.0"
] | 21 | 2021-07-26T05:19:45.000Z | 2022-02-01T07:35:21.000Z | pentestui/pentest_api/attacks/kerberos/modules/dcerpc/v5/samr.py | mustgundogdu/PentestUI | 92263ea73bd2eaa2081fb277c76aa229103a1d54 | [
"Apache-2.0"
] | null | null | null | pentestui/pentest_api/attacks/kerberos/modules/dcerpc/v5/samr.py | mustgundogdu/PentestUI | 92263ea73bd2eaa2081fb277c76aa229103a1d54 | [
"Apache-2.0"
] | 2 | 2021-09-21T06:52:10.000Z | 2021-09-26T07:31:27.000Z | """
MS-SAMR Protocol
- Edited by b3kc4t to using stated references on samr file.
References = https://github.com/SecureAuthCorp/impacket, https://docs.microsoft.com/en-us/openspecs/windows_protocols/ms-samr/4df07fab-1bbc-452f-8e92-7853a3c7e380
"""
from __future__ import division
from __future__ import print_function
... | 40.658228 | 162 | 0.694998 |
3d659db9802c339f10a071f9cafa5e7a7e7fe615 | 53 | py | Python | src/simulations/_init__.py | MelleStarke/MAS_B06 | fbedc7459006c0915428f0122d923dd41b57b51e | [
"MIT"
] | null | null | null | src/simulations/_init__.py | MelleStarke/MAS_B06 | fbedc7459006c0915428f0122d923dd41b57b51e | [
"MIT"
] | null | null | null | src/simulations/_init__.py | MelleStarke/MAS_B06 | fbedc7459006c0915428f0122d923dd41b57b51e | [
"MIT"
] | null | null | null | from . import test
from . import cost_sus_experiment
| 17.666667 | 33 | 0.811321 |
f054e4e42563385765f6c3e2b6d98da5ad8a2852 | 266 | py | Python | PythonTest/TensorflowTest.py | qianhk/FeiPython | c87578d3c04b7345a99fef7390c8ea12c6f2c716 | [
"Apache-2.0"
] | null | null | null | PythonTest/TensorflowTest.py | qianhk/FeiPython | c87578d3c04b7345a99fef7390c8ea12c6f2c716 | [
"Apache-2.0"
] | 15 | 2019-11-18T06:09:50.000Z | 2022-03-02T02:55:54.000Z | PythonTest/TensorflowTest.py | qianhk/FeiPython | c87578d3c04b7345a99fef7390c8ea12c6f2c716 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# coding=utf-8
import tensorflow as tf
sess = tf.Session()
hello = tf.constant('Hello, TensorFlow!')
print(sess.run(hello))
a = tf.constant(10)
b = tf.constant(32)
print(sess.run(a + b))
c = tf.constant('haHa')
print sess.run(c)
sess.close()
| 14 | 41 | 0.672932 |
27e51b4e5021c8fc2016c4d7a5151d509b016f5a | 1,210 | py | Python | src/dms-preview/azext_dms/vendored_sdks/datamigration/models/service_operation_py3.py | mayank88mahajan/azure-cli-extensions | 8bd389a1877bffd14052bec5519ce75dc6fc34cf | [
"MIT"
] | 1 | 2019-05-10T19:58:09.000Z | 2019-05-10T19:58:09.000Z | src/dms-preview/azext_dms/vendored_sdks/datamigration/models/service_operation_py3.py | mayank88mahajan/azure-cli-extensions | 8bd389a1877bffd14052bec5519ce75dc6fc34cf | [
"MIT"
] | 2 | 2019-10-02T23:37:38.000Z | 2020-10-02T01:17:31.000Z | src/dms-preview/azext_dms/vendored_sdks/datamigration/models/service_operation_py3.py | mayank88mahajan/azure-cli-extensions | 8bd389a1877bffd14052bec5519ce75dc6fc34cf | [
"MIT"
] | 1 | 2018-08-28T14:36:47.000Z | 2018-08-28T14:36:47.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 35.588235 | 76 | 0.606612 |
993a73ccba42c508e6f2eb1ea198398bc31394ed | 2,406 | py | Python | marketlearn/portfolio/asset.py | mrajancsr/QuantEquityManagement | 026aa038268295a7d5e32c3d24c491e3c559e22e | [
"Apache-2.0"
] | 2 | 2020-07-22T09:28:31.000Z | 2020-08-17T01:19:42.000Z | marketlearn/portfolio/asset.py | mrajancsr/QuantEquityManagement | 026aa038268295a7d5e32c3d24c491e3c559e22e | [
"Apache-2.0"
] | null | null | null | marketlearn/portfolio/asset.py | mrajancsr/QuantEquityManagement | 026aa038268295a7d5e32c3d24c491e3c559e22e | [
"Apache-2.0"
] | 3 | 2020-08-04T02:48:32.000Z | 2020-08-17T01:20:09.000Z | # pyre-strict
"""Implementation of Asset class"""
from __future__ import annotations
from dataclasses import dataclass, field
from functools import lru_cache
from typing import ClassVar, List, Tuple
import numpy as np
import pandas as pd
from numpy import array, cov, isnan, log
from numpy.typing import NDArray
__TRA... | 29.341463 | 77 | 0.652535 |
a08bb43a0c480342c7bed49108ea713d33ec87fe | 4,278 | py | Python | plenum/test/audit_ledger/test_future_primaries_unit.py | Toktar/indy-plenum | 2f1f838332b0506f8dd8837ac341cba0cd3f7ff4 | [
"Apache-2.0"
] | null | null | null | plenum/test/audit_ledger/test_future_primaries_unit.py | Toktar/indy-plenum | 2f1f838332b0506f8dd8837ac341cba0cd3f7ff4 | [
"Apache-2.0"
] | null | null | null | plenum/test/audit_ledger/test_future_primaries_unit.py | Toktar/indy-plenum | 2f1f838332b0506f8dd8837ac341cba0cd3f7ff4 | [
"Apache-2.0"
] | null | null | null | import pytest
from plenum.common.constants import TARGET_NYM, DATA, ALIAS, SERVICES, TXN_TYPE, NODE
from plenum.common.request import Request
from plenum.server.batch_handlers.three_pc_batch import ThreePcBatch
from plenum.server.future_primaries_batch_handler import FuturePrimariesBatchHandler
from plenum.server.prop... | 39.611111 | 109 | 0.669004 |
dccb4a09f87083708447819045ab33ba01caf609 | 2,870 | py | Python | pyuavcan/__init__.py | wiboticalex/pyuavcan | fdada810f29db3f800bd6148a62b76a3e841346d | [
"MIT"
] | 1 | 2020-08-14T17:55:49.000Z | 2020-08-14T17:55:49.000Z | pyuavcan/__init__.py | wiboticalex/pyuavcan | fdada810f29db3f800bd6148a62b76a3e841346d | [
"MIT"
] | null | null | null | pyuavcan/__init__.py | wiboticalex/pyuavcan | fdada810f29db3f800bd6148a62b76a3e841346d | [
"MIT"
] | null | null | null | # Copyright (c) 2019 UAVCAN Consortium
# This software is distributed under the terms of the MIT License.
# Author: Pavel Kirienko <pavel@uavcan.org>
r"""
Submodule import policy
+++++++++++++++++++++++
The following submodules are auto-imported when the root module ``pyuavcan`` is imported:
- :mod:`pyuavcan.dsdl`
... | 34.166667 | 116 | 0.741812 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.